0:04
I see a large IPO on the horizon.
Search this video
0:12
>> You're surrounded by journals. Hold your position. Overnight success.
0:31
The place of 3000, >> right? That's misinformation. clearing order inbound. >> Let's just roll.
1:12
>> We are surrounded by general. Hold your position. Come on. Get up.
1:21
>> Trust the experts here. Five. We are experts. >> Founder Mel 5.
1:45
>> I see multiple journalists on the horizon. Stand by. UAV online. Double blaze. Triple blaze. Double kill. Five coming. Go, >> please. Team deathmatch. We are experts. Triple blades. Let's just roll. Right.
3:10
Mark clearing order inbound. Come get up.
3:24
We are surrounded by journalists. Hold your position. Strike two.
3:46
>> Activate golden retriever mode.
4:00
>> Marky clearing order inbound. Five.
4:09
>> That's a narrative violation. >> Cortisol spike. >> Another one.
4:21
See multiple journalists on the horizon. >> Yeah. You're watching TVPN.
4:38
That voice changer does not work. It's too much.
4:41
Uh, it's Tuesday, July 7th, 2026.
4:44
We're live from the TVPN Ultradome, the temple of technology, the fortress of finance, the capital of Invest Like the Best. Watch streams.
4:53
We got Invest Like the Best on in the background. Do we have audio? No. But does it matter? No.
4:58
No, it's just as compelling with the sound off. >> Yes, it is.
5:03
As I heard Jeremy talk about, there's a lot of episodes that people don't even watch and yet they are the most impactful things in the entire world.
5:10
Uh, and uh, you know, it's a great episode.
5:12
We threw it on on the big screen as sort of a joke.
5:14
Oh, it's funny to watch a podcast on a massive screen like it's a World Cup game viewing.
5:20
>> I couldn't turn it off.
5:20
I kept getting sucked back into it.
5:22
Uh, fantastic episode, Jeremy and Patrick.
5:25
Always fun in conversation.
5:27
Also, the best part of that episode, there's a ramp ad in it.
5:32
We got a ramp ad for you here, too. Time is money. Save both.
5:35
These are used corporate cards, bill pay, accounting, and a whole lot more. All in one place. But the actual news. The actual news.
5:43
>> Well, should we talk about the show?
5:44
>> Yeah, talk about the show.
5:46
>> Alex Hormosi in the Ultradom live in person.
5:50
We're going to be talking about bro splits, >> agents, >> mindset, >> content, community, sales, pricing.
5:59
>> So, Horoszi and I both started our YouTube channels the same year within like a couple months of each other.
6:04
And we were both doing like somewhat businessy content.
6:08
Obviously, I was focused on like Silicon Valley history and he was doing more like coaching, small business, scaleups, growth stuff.
6:17
and he just absolutely destroyed me.
6:17
It was insane because I think I had like maybe 10,000 followers and I saw his account when he had like 5,000 followers and then he just went on this absolute run to get millions and millions of subscribers and I plateaued at like a couple hundredk and I was like ah he's he's just built different.
6:39
>> A few hundred >> few hundred >> 450k. >> Yeah, 450k. Not bad.
6:42
I mean I'm proud of the channel. Honest work.
6:45
uh a lesson in total addressable market there.
6:48
Uh his interesting everywhere, but seriously, he took it so much more seriously than me. He had a whole team.
6:54
He was putting up multiple hour videos every single day, short form, Instagram.
6:58
He really understood how to be a media company, whereas I was just like, nah, this is just my blog. >> Bigger TAM. >> Yep. >> And better execution. >> 100%.
7:12
>> I mean, it's it's just it's worth saying.
7:14
>> It's No, it's it's just actually true.
7:16
And and I mean it's a testament to he was basic he was full time on it said levels >> there's levels. Yeah. Exactly.
7:21
And I was like oh like we both started around the same time.
7:25
We're both taking this pretty seriously. Nope.
7:29
>> Yeah it was really really good. It was fun to watch.
7:30
Uh so he's been on an absolute run.
7:32
Set the world record for fastest book sales ever. Something like that.
7:38
Huge record on uh on becoming.
7:38
He has a Guinness book uh world record for uh for how successful his book launch was. And really, yes.
7:47
No, this is this is true. It's on the wiki.
7:49
Um and uh I don't know if I have the actual stat here.
7:53
Let me pull let me pull up the actual stat.
7:55
So, he broke the Guinness book world record for fastestselling non-fiction book last year, August 16th, 2025.
8:03
His book, Hundred Milliondoll Money Models, officially sold, oh my god, 2.
8:08
9 million copies within the first 24 hours. That is insane.
8:13
Generating over $100 million in total launch.
8:18
>> Read me the title again.
8:20
>> It's called $100 million Money Models, and it generated over $und00 million in total in the total launch. >> Manifested.
8:28
>> Yes, he did manifest it.
8:28
Uh it's uh it's a wild story.
8:30
He has so many different uh anecdotes to share.
8:32
He's a fantastic podcast guest wherever he uh is appearing and we're very excited to have him join the show today.
8:40
>> 23 minutes >> before we get into the news.
8:41
Let me tell you about CrowdStrike. Your business is AI.
8:45
Their business is securing it.
8:45
Crowd Strike secures AI and stops breaches.
8:47
So the big news of the day is that China has taken a page out of Washington's playbook potentially and aiming to limit the export of AI models.
8:58
Now, these are just meetings at this point, but uh Chinese authorities have reportedly, this is according to Reuters, uh held meetings with some of the country's top tech firms.
9:08
That's Alibaba, Bite Dance, Z.
9:11
AI, uh Deep Seek, Highflyer, not mentioned yet, but you have to imagine that they'll be in the conversation if they aren't already.
9:18
Uh about potentially restricting overseas access to China's most advanced models.
9:22
So, they're thinking about doing the same thing that's happening with GPT 5.
9:24
6, Six, Soul, Ultra, Mythos, Fable, all these different models that are starting to get more restricted as they get more powerful.
9:34
The government wants a say in what companies and what uh non-governmental organizations, what governmental organizations have access to them.
9:42
So, uh the discussions are still preliminary.
9:45
>> When when did uh in AI 2027 did China wake up?
9:49
>> Right around this time.
9:49
Right around this time >> mid 2023.
9:52
I actually have on my calendar check on Jack Clark for today because uh because last year December 23rd Jack Clark predicted that there would be big changes and acceleration in mid2026.
10:06
He said, "So by summer of 2026, it will be as though the digital world is going through some kind of fast evolution with some parts of it emitting a huge amount of heat and light and moving with counterintuitive speed relative to everything else.
10:26
Great fortunes will be won and lost here and the powerful engines of our silicon creation will be put to work further accelerating this economy and further changing things.
10:35
Do you think that's where we are?
10:38
Is that an accurate assessment of mid2026?
10:39
When I saw this prediction, I put a calendar reminder for mid 2026.
10:45
We're right in the middle of the year and I wanted to check in and say, does it feel like this?
10:52
Obviously, this is not a quantitative benchmark.
10:53
This is a qualitative feeling.
10:55
Uh, fast evolution emitting a huge amount of heat and light moving with counterintuitive speed relative to everything else.
11:01
Great fortunes certainly are being won and lost every day in the market.
11:05
Tyler, how would you assess the amount of heat and light emitting from some parts of the digital world? Would you say it's huge?
11:16
>> I would say it's huge. I think it's huge.
11:17
It's kind of hard like I feel like I've been like very tapped in for a long time.
11:21
So, it's hard to say like >> you've been Yeah. You've been feeling.
11:26
>> It's hard to see like an outside view as like oh is this actually like is has there been a big change like recently? >> Yes.
11:31
So there's two things like one >> it's been kind of like a personal thing for you being so tapped in. Would you say that?
11:37
>> So there's I mean there's two things going on.
11:38
One is that uh anyone >> has been like a personal thing for Tyler.
11:43
He's been so tapped in for so long.
11:45
It's >> no true so much of news coming out of DC Yeah.
11:49
the past like two three months has been >> about AI which is like definitely was not true. Yes.
11:54
You know even earlier this year I would say. >> Yes.
11:57
>> Yes. and the uh just just the amount of heat and light around cyber security issues, the coding models, the agentic capabilities, the revenues that we would see in enterprise, those have not been a shock to AI insiders who have been
12:12
tracking the capabilities of these models since last October or even last summer uh when models started when vibe coding was coined by Andre Carpathy and coding became you know not solved but you know greatly enhanced by
12:28
>> so going back to AI 2027 which was published April 3rd 2025 by late 2026 they had or sorry mid 2026 was China wakes up uh in China the CCP is starting to feel the AGI >> export controls and lack of government support have left China under resource
12:48
compared to the west I'm going to fast forward a little bit hawks uh hawks and the CCP warned that the growing race towards AGI can no longer be ignored So they finally commit to the big AI push that they had previously tried to avoid. He sets in motion the
13:01
He sets in motion the nationalization of Chinese AI research. Okay.
13:06
>> Creating an information sharing mechanism for AI companies.
13:07
So right now they're just looking at export controls.
13:12
>> Feels like we're a little bit behind on this.
13:14
>> It's possible the CCP is just reading this as a guide and just implementing it.
13:19
They're just planning to implement it to a tea. >> Thanks for the guide. >> Just like Yeah. Thanks. Thanks for the playbook.
13:23
You should have you should have build me for it. Yeah.
13:25
No, the real the real 40 chess here is to shame the CCP into not copying off of AI 2027, saying, "Oh, really?
13:34
You're just doing the AI 2027 thing?" Come on.
13:35
You don't need to invest in AI.
13:37
Don't be mimemetic with our with our philosophers literature and our most popular podcasts over here in America.
13:44
Think of your own strategy. Come on. What? Do whatever. Uh no.
13:49
So um the discussions around AI export controls in China are still preliminary.
13:56
Uh and it isn't clear how Beijing could claw back access to models that they've already released.
14:01
If they're on Hugging Face, you can download them. You can run them.
14:03
And even if they had some sort of intellectual property, they could sue an open-source inference provider for running Kimmy or something like that.
14:14
That feels really difficult to do from Beijing.
14:16
But uh there are other implications.
14:19
So once open o openw weightight models are posted publicly, of course they can be copied, mirror, downloaded, reused anywhere, fine-tuned.
14:25
Uh but there are several ways China could restrict future frontier models before they leave the country.
14:29
Uh at the latest end, Beijing could require companies to file future releases with regulators or submit them for national security review before publishing model weights.
14:38
A more aggressive version would require government approval before any advanced model could be released overseas.
14:44
And at the most restrictive end, China could simply ban the public release of Frontier openweight models.
14:50
They could say no more open sourcing.
14:52
Although the game theory there is a little odd because it feels like the fact that China has been open sourcing near frontier capabilities has been to it to China's benefit um in general because it it creates like more disturbances like the deepseek moment was definitely good for China. >> Pricing pressure.
15:09
>> Yeah, pricing pressure.
15:09
So, uh, they could limit these to state approved customers or Chinese government priorities, which at a certain level might just be the most important thing to do.
15:20
Uh, the RSI loop, of course, you want all of the GPUs that you have focusing on advancing the frontier internally as opposed to sending it off to America.
15:29
Uh, the talks come as the US is also moving toward tighter control of Frontier AI.
15:33
The Trump administration recently restricted access to Anthropic's most advanced models, Fable 5 and Mythos 5, before later lifting some of those controls after additional safety mitigations.
15:42
OpenAI has also reportedly faced government pressure around the roll out of its next frontier models.
15:48
Uh the issue has become more urgent because Chinese openweight models are increasingly competitive. Uh Z. AI's GLM 5.
15:56
2 in particular recently impressed Silicon Valley by performing close to leading US models at a much lower cost.
16:02
The Quen family of models from Alibaba has also become one of the most important open model ecosystems in the world.
16:07
While Bite Dance's Daoba is one of China's most widely used domestic AI systems.
16:12
I didn't know about that.
16:12
Uh, if China places export controls on future Frontier models, it could raise costs for American AI users and companies because it's obviously very beneficial to have a great open source model available to you um and uh for and use them for lower stakes task while reserving expensive US frontier models for their most important workloads.
16:31
If the best Chinese models are no longer freely available abroad, some of that cheap model supply disappears.
16:36
But you have to ask what happens to Meta?
16:38
Do other do other labs start piling back into the open-source uh ecosystem uh and more uh or will all the demand just go straight back to the frontier labs? That's the question. It really does. It really does.
16:53
We should play some clips because uh >> we need to be thinking about podcast safety because this is >> an addictive >> there should be export controls on this.
17:01
It should be only available to American citizens. They should Patrick. I see.
17:06
>> Even though one of the one of the the uh >> one of the guys over there is Canadian. Yes.
17:11
But uh maybe maybe North America.
17:14
Uh let's pull up a clip from this.
17:14
Uh I want to I want to hear Jeremy chat about all sorts of things. They they go all over.
17:20
Where in the timeline is >> Well, should we talk about SK Highix's new listing?
17:26
>> Yes, we can run through that and then we can pull up >> SK Highix is set to raise around 28 billion in a NASDAQ share sale this week.
17:32
potentially one of the largest ever New York listings by an Asian company.
17:36
The South Korean memory chipmaker is already public in soul where it stock is up >> more than 750% over the past year.
17:40
But the US listing gives American investors an easier way in the story is big on the timeline because situational awareness the hedge fund run by Leupold Ashen Brener may participate alongside Bally Gford and CO2.
17:56
Together the firms could take as much as 7 billion of the deal.
18:00
SKH Highex has become one of the purest AI infrastructure plays because it leads in HBM has become a key Nvidia partner and now has a market cap around 1.
18:10
1 trillion >> which is like a quadrillion one. >> Yeah, it's a lot.
18:15
>> When you look it up, it's very confusing. I think >> it's a lot.
18:18
>> The business is ripping 2025 revenue grew 47% to 63 billion profit more than doubled 28 billion in profit.
18:24
uh Q1 revenue tripled year-over-year, but interestingly, the stock only trades at 7x forward earnings because memory is brutally cyclical, and there's still a lot of people that are wondering h what happens if there's another leg up in the AI demand, in the AI buildout, will that mean more competitive pressure?
18:45
Will there be a bottleneck where they do stagnate?
18:48
How much can they actually grow?
18:50
And so many investors that are just in memory have seen booms and busts from cloud or smartphone or crypto and they say ah like I don't know that this one's going to last forever.
19:00
I'm pattern matching to previous cycles not thinking about this as a different technology cycle.
19:06
So, uh, I think that's what's going on with SKH Heinix, but it should be a blockbuster IPO nevertheless.
19:11
Very interesting to see an Asian company listed >> and, uh, most, you know, notable part of this deal is is obviously situational awareness. >> Yeah.
19:23
>> Uh, and their participation in it.
19:23
uh they they cover in best like the best the billion dollar PDF.
19:28
It's an idea that that Jeremy and Patrick have talked about before, but uh situational awareness is turning out to be more of a maybe a 10 or a hundred billion dollar PDF. >> Yeah, seriously.
19:37
The whole investing thesis built around that. Uh it's just a PDF. I I don't know.
19:43
Is it an essay, a thesis?
19:45
>> If if so, if the PDF was worth a billion or or more than that, what was the Dorcesh episode worth?
19:49
It's got to be some percentage of it, right? >> Yeah, definitely.
19:52
because a lot of people watch the podcast, watch the clips, scroll through the PDF.
19:54
It's also >> breaking news.
19:56
Meta unveils Muse image, its first image generation model from MSL.
20:02
>> Waiting for this, let's pull up some images of this and see uh the results.
20:07
It should be good given that uh they have all the Instagram and Facebook data to train on.
20:11
While we pull up some images of the new Muse image model for Meta, let me tell you about Figma agents. Meet the canvas.
20:18
Your AI agents can now create and modify your Figma files with design system context.
20:23
Um, do we have any of this or should we click over to Jeremy GF?
20:31
>> Uh, I am working on pulling up Muse image.
20:34
Let's uh go through Alex Wang has a post. >> Cool. >> Let's pull this up. >> Okay.
20:40
Muse image, Muse video, Muse image.
20:42
Whole bunch of uh very detailed badges printed all in one image.
20:46
Uh he says releasing Muse image today the first image generation model from MSL.
20:53
It is crazy that they didn't have any like when back when it was fair did they do anything with image do they because they had that amazing model segment anything so they were doing work on images and obviously they've processed a ton of images.
21:07
Uh it pairs with Museark to reason through your prompt search the web and plan before it generates.
21:12
People get what they mean on the first try live now in the Meta AI app. Very very fun.
21:19
Even puts a realistic cure QR code in there and can do infographics and uh old Polaroids as well. Big su August 1983. Looks great.
21:32
Three things Alex Wang is excited about.
21:34
Under the hood, self-refinement.
21:36
The model improves its own output within its chain of thought.
21:40
Emerged during LRL, not by design.
21:42
Multi-reference composition.
21:42
Many images blended into one coherent generation. Multi-turn editing.
21:46
Iterate without losing coherence or starting over.
21:49
Make an image of this person riding a bike, this bike, and wearing this suit while passing by these people on a park bench.
21:59
Make it look like a drawing in this style. That's cool.
22:00
So, you can upload multiple images and sort of drop them in his various prompts. What you got, Tyler? >> Uh, yes.
22:06
So, Metapare did release a number of image models.
22:08
So, there was uh I think it's pronounced Chameleon in 2023. There was Emu also 2023.
22:11
And then there was um another like version of chameleon.
22:18
>> Um >> I I think they were I they were somewhat different than uh the like diffusion which was like popular at the time.
22:23
I think they were all autogressive transformer which is like how you get the good tech stuff like that.
22:29
>> But um I I believe this is a different uh >> that's cool. Yeah.
22:32
>> And uh Alex is also previewing Muse video competitive unprompt fidelity temporal consistency also coming to Meta AI.
22:41
This has got to be uh GPU intensive if they actually roll this out to everyone.
22:47
Although Meta AI does have a smaller install base than Instagram, but I mean imagine you really push this in Meta AI and >> what they buy all the TPUs for.
22:57
>> You gota you got to get people generating stuff. I I completely agree.
23:01
I think put this in the hands of the the modern Instagram creator.
23:03
let them have fun with it and uh see you already have the algorithm to filter the slop out.
23:10
The stuff that is sloppy but still entertaining and creative uh will surface to the top.
23:15
So, congrats to them on a successful launch.
23:18
Uh let's tell you about Railway.
23:20
Railway is the all-in-one intelligent cloud provider.
23:24
Use your favorite agent to deploy web apps, servers, databases, and more while Railway automatically takes care of scaling, monitoring, and security.
23:28
Uh, and let's click over to Jeremy Gon on why he doesn't worry about AI taking jobs.
23:37
A very, very interesting take on the latest episode.
23:41
>> Understand this idea of we're going to run out of jobs.
23:43
To me, it's like very obvious that every certainly every white collar job is like totally fake and made up in the sense that like they are not contingent for shelter and food and medicine and other necessities.
23:58
But most jobs do not touch those.
24:01
Or if they do, they touch it in a very very derivative way.
24:04
What is your job as an allocator?
24:07
It's like, well, because capital is inherently inflationary, you have to you can't just leave it alone.
24:11
And so like my job is like when you have money and you don't want it to go away, you have to give it to someone.
24:17
And so you you give it to a bunch of people and then I take it and I put it into things that are productive.
24:23
And then hopefully you don't lose your money, you get more money. And like is this useful? Is this good? Yeah, sure. But like it's not real.
24:31
And to me, there's like unlimited amounts of jobs that you can create in those sorts of scenarios.
24:36
We're going to have unlimited wants and desires and and and our economy is solely driven by our like uncunchable desire to consume things.
24:43
And so we're going to have new things to to consume.
24:45
And now again, in the short term and medium term, that might be volatile and there might be a lot of job loss, etc.
24:49
And you know, that's not good.
24:51
And uh you know, there could be a lot of despair.
24:53
But in in in the long run, like we're just gonna invent new things to do.
24:57
Like we've already solved all of our problems.
24:59
Like the worry about, oh, we're not gonna have more jobs.
25:03
It just doesn't really resonate cuz I feel like we just make up stuff for us to do.
25:08
And that's sort of the whole point of it.
25:13
>> That makes me think we need an invest like the best soundtrack.
25:17
>> We do need the invest like the best soundtrack.
25:19
Uh let's play the other clip that Patrick shared.
25:21
the west coast is definitely eating the east coast.
25:24
Um >> the founder is incredibly important and sort of the um the founding act is incredibly important in uh in any business.
25:33
I I do think that it's notable that like the current paradigm in which we live the largest and most important finance firms come out of a culture of leverage buyout which it's extractive in so far as the primary goal is to make a thing more profitable.
25:50
The core idea behind it is like using debt and financial engineering to make a lot of money in a way that the quality of the business itself is maybe ancillary to the core in >> Afterglow says my god what an obnoxious sound unwatchable.
26:09
>> Sorry, >> it is a little loud today.
26:10
I feel like the soundboard's coming in a little bit hot. We're sorry about that.
26:13
But we're having fun here.
26:15
And of course, we don't want to we don't want to pirate the entire Invest Like the Best episode. We got to tease it.
26:22
>> This would be a good use case for AI if we can make a separate show that's just the show, but an agent in real time pulls out >> the sound effect.
26:31
>> Pull it out >> and just has a normal show, no sound. >> Sure. Sure.
26:34
So, you can choose whether you want the soundboard version of the show or the not or or the >> Tyler says, "Don't be sorry. That's why I'm here."
26:42
Tyler's just here for the soundboard.
26:43
So, after unfortunately, there's people that are here that don't like the soundboard.
26:47
There's people that are here only because of the soundboard.
26:50
We are trying to find the middle ground and we don't always get it right.
26:53
>> We don't always get it right, >> but we're trying.
26:56
>> Sort of a cold war between the pro soundboard and the anti- soundboard uh constituents in the audience.
27:02
So, we we we'll do our best.
27:04
But today is a soundboard episode, so there's going to be a couple.
27:08
But I think the team did dial back the soundboard a little bit. So, not too bad now. Okay.
27:13
Well, uh Revenge of the East Coast.
27:17
The East Coast is trying to is trying to make a comeback.
27:20
Jeremy Gfon says the West Coast is eating the East Coast, but the East Coast is trying to make a comeback uh across all of these big banks. Did you hear about this?
27:30
They're going after the debit card rails.
27:31
They're going after Visa. >> This is news today.
27:35
JP Morgan, Bank of America, Wells Fargo, PNC, and other big banks are reportedly exploring a deal to buy a ferve debit card network that would own let them own more of the payment rails um that the customers debit cards run on.
27:52
So the basic idea is that uh post I think it was post financial crisis there were limits on how much uh banks could make on debit card transactions.
28:01
This is the Durban amendment.
28:03
Durban, >> the Durban amendment. I think Dick Durban.
28:06
Uh, and they want a way to turn debit back into a more valuable business.
28:10
So, Fiserve owns major debit networks, including Star and Excel, which I don't run into that often.
28:15
I usually see Visa, Mastercard, MX.
28:17
I mean, MX doesn't have debit network, but um, and but Star and Excel already connect to millions of card holders and thousands of financial institutions.
28:25
So, uh, this is like a it's a real rail with an ex existing bank and merchant connectivity.
28:32
Um, and so this is like when Capital One bought Discover.
28:34
Um, they own the issuer, then they also own the network, and then they can move their own volume onto their own rails and capture more of the economics.
28:43
Uh, so who loses if this goes through?
28:46
Who should be upset about this?
28:49
It's probably the merchants, Visa, and Mastercard.
28:53
Uh so merchants would probably see higher effective debit costs if banks find a way to route more volume through bankowned networks while Visa and Mastercard would lose some leverage over US debit.
29:03
Uh but the bigger story is that payments are getting vertically rebundled.
29:07
Banks want the account, the card, the network, the wallet, the fraud layer, and eventually the AI agent checkout surface.
29:12
So, it's all very uh they I don't even think there's a real bid for the for ferves debit networks just yet, but uh it's it's like starting to leak out that they're doing it.
29:25
Uh and I was interested to know like is this is this bullish for ramp because they sit on top of of networks and I think it is generally positive and and because of the layer of abstraction they operate on.
29:41
Um, and I was wondering like is this an attack on Stripe?
29:43
Is this a is this an attack on any particular West Coast tech startup that we know.
29:48
Uh, and it seems like it's much more of an attack on Visa and Mastercard in particular, uh, who have been driving up debit fees for them.
29:56
Anyway, let me tell you about Console.
29:58
Console builds AI agents that automate 70% of IT, HR, and finance support, giving employees instant resolution for access requests and password resets.
30:10
Caner in the chat said to warm up the gong. >> He got warm.
30:14
>> I had to warm it up for him. >> Okay.
30:16
Well, the gong is warmed up.
30:16
Maybe we need a couple more huge huge uh hits to fully warm it up.
30:22
Uh did you want to talk more about Fiat's next US car?
30:25
You mentioned it when we were talking to Baiju from Cowboy Space Company yesterday. The Topelino. It's coming to America.
30:34
tiny two seat electric micro car they're calling it.
30:37
Uh starts at $14,000 almost half the price of the other electric golf cart that we talked about last what was that last Thursday we talked two yeah two in >> but you can fit a lot more people in the Amble >> the Amble. Yes, that's right.
30:55
>> I like this move from I like this move from Fiat. >> You like it?
31:00
Uh, I think that their cars are generally unserious. Yes.
31:05
>> And so I think it's good to just lean into lean into that and >> Okay. Okay.
31:09
>> And um I think they're trying to price this so that when people are thinking, >> hey, I need a new car. >> Yeah.
31:16
>> Should I go out and buy like a crossover SUV or >> There's no way anyone can consider this for their main car. It's impossible.
31:23
No, but you can if you typically roll around with a handful of people and instead of buying one car for >> Oh, you buy a bunch of them >> for 60 grand.
31:34
>> You'll need a train of >> You know how you know the range on this thing? 46 miles. >> 46 miles.
31:40
>> I mean, I guess if you have a 10 mile commute, you can definitely commute here.
31:44
>> They launch an EV with >> 46 miles of range. >> It's nothing.
31:49
>> They should have called it They should have called Fiat It's less than 10 miles. >> Less than 10 miles.
31:52
They should have called it the Fiat dice because every time you leave the house you're rolling the dice.
31:57
>> It's 1,000 lb so you can deadlift it with another friend.
32:01
>> It's there's Are you serious? >> Thousand pounds. Yeah, this thing's tiny.
32:04
It's It's really truly like so so small.
32:07
>> They're saying it's the cutest car ever made. >> Uh look at the speed.
32:11
>> The top >> tops out at 25 miles an hour.
32:14
>> That's with a street legal low-speed vehicle kit.
32:17
By default, it only goes 19 miles an hour.
32:20
Uh, so how long would it take you to get here? 19 miles an hour. >> 30 minutes. >> Yeah, 30 minutes. >> Wow. >> That's not too bad. That's not too bad. >> Maybe. Maybe you got to do it.
32:29
Okay, >> you guys are laughing, but you won't be laughing when when I pull up to the office with >> fleet of these >> with with five of these >> and you need a support car like a multiple behind you. >> Yeah. No, no.
32:44
The the the topo the topo is the support.
32:47
You just have you have a series of you just go train mode.
32:51
>> Well, our next guest uh is the owner of a Hummer EV or at least was.
32:54
We can talk to him about that.
32:56
Uh we can bring him on down whenever we want. You ready?
32:57
Let me tell you about public first investing for those who take it seriously.
33:01
They got stocks, options, bonds, crypto, treasuries, and more with great customer service. Alex >> there. Grab that seat. Sit down for us.
33:15
Do you still own a Hummer EV? Uh yeah, we do actually. >> You do? Give us your review.
33:18
We were just talking about the Fiat Topelino.
33:20
I don't think >> you're going to be in the market for that. Neck and neck. >> Neck and neck. >> It's 1,000 pounds.
33:27
>> So I think what we could do is like if you just lined up like 10 of the like chariot like >> that's what I'm saying.
33:34
The Hummer like be my chariot.
33:34
Imagine Imagine if the Hummers of the the Hummer is kind of the front of the the train and then you have like you you see the Hummer coming at you and then and then a bunch of the top lenos kind of pull out in like a Vshape Fast and Furious.
33:47
That would be that would be badass. Yeah.
33:51
Take over the whole smog.
33:53
>> How is How is life these days? >> Good.
33:55
>> Is there a new book coming?
33:57
>> There is another book coming. >> Okay. >> Yeah.
33:58
>> Do you have a strategy for book launch cadence? Is it an annual thing?
34:03
It's more like every 18 months to two years.
34:09
>> But do you imagine that um continuing for your entire career?
34:13
>> Every book I write I say is the last book I'm going to write and then I have like a six-month refractory period and I'm like yeah, you know, I could I could write a book about something and then I just start writing again.
34:23
>> What's the process like?
34:23
Um, I have a bunch of notes on my phone of a topic because right now I've have like probably like 10 books that are at different stages of so I just mind dump wherever and then once there's enough stuff that I think this is like this is interesting I'll then start the book writing process.
34:39
But I'm a big believer in um >> surface area of thought.
34:43
>> Like if you were to sit down and say like I'm going to write a book about this and then you have two weeks it's like you don't have enough experiences that are diverse in a twoe period while you're writing to like let the paint dry. Sure.
34:51
So, I kind of want to like have I want to be in, you know, a totally different state talking to somebody and be like, I didn't think about that.
34:57
And then I add it to the book.
34:58
And so then all of a sudden it's like the the density of of thought and ideas per word is much higher.
35:01
But I think you just have to do it by like spreading out the time that so like the time I'm thinking about a book is much longer than the time I'm writing the book.
35:09
>> Is it purely thinking and you want a lot of thought to go into the different sections of the book or over the course of 18 months?
35:15
Is there actually a benefit to going out and having real world experiences?
35:19
>> Oh, that's I mean that's >> and anecdotes, right?
35:20
It's 100% that because I'll have a working theory of like I think this is how I think people are missing this part of it >> and then I'll kind of start battle testing it functionally and then when I realize that I'm using the same framework over and over again and successfully overcoming some issue I'm like this is it and then that's what the book becomes.
35:37
>> How narrow do you want to stay?
35:37
How narrow have you been in the surface area of thought around mainly the last three books?
35:46
>> It's a really good question.
35:46
um problem definition for the book I think is the hardest part of any book.
35:49
Like the leads book, which is the second book, was the hardest book I've ever written.
35:53
I'll never write a book that hard because I was like, I'm gonna write a book on advertising.
35:56
It's like Jesus Christ, there's so many ways to get leads.
35:57
And I put it all in one book.
36:00
It took 19 versions to get there. >> Yeah.
36:03
>> The Money Models book was uh the fastest book because it was really just about rappers for promotions.
36:06
Super valuable, but really easy to consume and use.
36:07
And so I was like, "Okay, this is the lesson for me."
36:11
Like, and offers super narrow, super narrow.
36:13
And that book too was like all three of those books started as one kind of gigantic thing and I gave it to somebody and they're like dude you cannot.
36:20
It was you like this and they're like I because I was like I'm going to have a tome >> and then I decided to I want people to actually read it.
36:26
Is there a itch in the back of your mind where you want to do sort of the Tim Ferrris thing where you go from 4hour work week a business book to chef body lifestyle money management personal finance like there's so many topics that you talk about and people are interested >> and I'm sure you could sell those books and they might be edifying at a certain point because you're like I've I've scratched this itch three times, four times, 10 times.
36:57
But is there a level of focus that you have to discipline yourself or does it come naturally?
37:04
>> I only write about stuff that I feel like I have some unique take on.
37:05
I think rewriting a book that already exists, other people already know, there's no point.
37:10
Um especially if like you're in the thick of it and you're thinking, >> "Oh, this has already been written before.
37:15
It doesn't really motivate you."
37:17
>> Like I think it like I want to write something that only exists because I made it.
37:21
>> Um >> same thing with businesses. Like there's Oh yeah.
37:24
I've had the experience of building a company or or just like starting to work on a company and being like I can stop working on this and it will not matter at all. >> Yeah.
37:32
The world there's a bunch of alternatives and and and that you can make that case for like most businesses but there are some where you're like if I don't build this no one's going to build it at least in the right way. >> Yeah.
37:44
No, I have 100% that perspective when it comes to bookw writing. >> Yeah.
37:46
It's funny uh as as we talk about this uh Jeremy Gon I know is a good good friend of yours, good friend of ours uh and >> every time he talks people just listen >> and he's somebody who I would love to write >> a book almost because I just want him to go on another podcast proper podcast tour.
38:04
He just kind of pops up does invest like the best and then like goes goes dark for like 18 months.
38:07
But like it's somewhat of a tragedy that he'll probably write a book someday but it'll be in like 40 years.
38:13
So in the meantime you have to like in the in the meantime, you have to just like, you know, take notes and and uh try to pick stuff up from from the podcast.
38:20
But there's so many people that like so many people that should be writing books just don't have the time and they'll eventually come and take like a victory lap at the end of their career.
38:29
But I think it's like you could just do a lot of stuff other than write books.
38:33
Uh but it's but it's it's it's very valuable to be like writing in real time versus like saving up a bunch of lessons and then kind of summarizing it at the end.
38:41
I think you miss out on the the the wrinkles, like the tiny little details that like if you if you think about like the story of how you met your wife and you go back like you've told it a bunch of times, but if you told it the day after you did it, you'd have so much richer memory of all the tiny little things that happened.
38:56
And so I'm a big believer of like while it's wet like paint it um and then let it dry over time.
39:00
But that's why like I always want documentation to be as real as >> Yeah.
39:03
It's funny the final book will actually be the easiest to write cuz you have all the books and you're like okay what what was actually like worth kind of >> greatest hits at that point.
39:11
Yeah, >> we we had Mark Pinkis on the show, founder of Zingga.
39:16
He wrote a book and he said that he thinks everyone should write a book in their life, but he also said everyone should build a house. >> Huh.
39:24
>> Do you have any aspirations to build real estate physically like me do it, >> you do it or not?
39:32
>> Not by hand, but just take a take a piece of dirt and turn working with an architect and team.
39:36
But is that something that you know a lot of people that's on their bucket list?
39:40
I don't know where you've been in your real estate journey, but how do you think about that as a uh as a bucket list item?
39:48
>> It's not like why not?
39:50
>> I mean, we buy big multif family that are already existing and we do that.
39:52
But if there were an investment opportunity that made sense, I would >> it's you're not interested because it's not productive.
39:59
>> It's just not on my list.
40:00
>> Purely for like, you know, the satisfy like have you listened to like thought about listening to Beyonce today? I'd be like, not really.
40:05
But I mean, like if it was on, sure.
40:07
You know, I'm not against it. >> Yeah.
40:09
I think some people just have the the itch to like customize their own living environment.
40:14
And I'm I'm curious about how you see your living environment because I mean from those first YouTube videos like the monastic what were you closet?
40:23
You were in the closet like like that that was I don't know if that was intentional but it was uh it was somewhat deliberate.
40:30
You picked that space over a big living room, right?
40:33
Uh, and I'm wondering how you think about your li your living space, your work space, your office space today.
40:40
>> So, I would say all of the time that I when I work, I'm very intentional about that space.
40:46
>> When I'm not working, it's whatever Ila wants. I don't care.
40:49
Like, if she if she's 10% happier, >> I have like a percent correlation to my happiness.
40:55
And me being more comfortable has no correlation back.
40:57
So, so like whatever she's good with, I'm good with.
41:02
Uh, but in terms of like where I work, it's almost all how do I how do I eliminate every sense of distraction for me personally.
41:08
And so it's like I don't have windows.
41:10
Some people like having windows.
41:11
I don't think anything wrong with that.
41:12
For me, it's like I need no stimulation because I'm >> I'm very distractable.
41:15
And so I have to have like I earplugs in, no light, all artificial.
41:20
I have like soundproof like you know, like I want nothing. >> Yeah.
41:25
>> Uh and then I can finally focus on what I'm what I'm trying to work on. >> Yeah.
41:28
Uh, can we go back to the early YouTube days on the latest channel, I think 2020, >> uh, in that closet.
41:36
We both launched YouTube channels around the same time and we were talking about this.
41:40
You com you completely smoked me.
41:44
>> It was John is, you know, obviously pretty good at media and but and was like the the his channel was like just following his interest like Silicon Valley history.
41:51
The the execution was like by all means amazing.
41:54
Like got to like half a million subscribers.
41:56
I treat it like a blog and you treat it like a business. >> Yeah. Yeah.
41:59
And it was like but it was a much smaller TAM and like when you compare the two channels and like your strategy the execution difference was like was it me and like I had one remote editor for years and I was like not monetizing, not really thinking about it as a business.
42:13
But I'm interested to know uh on day one of of that YouTube channel because I know you've done media stuff before but like the the the the current media business uh what was the team like? What was the strategy?
42:23
How much time were you putting into it?
42:27
Because I know you had exited some businesses, you had some space to breathe, but how serious were and then what was the evolution of that?
42:34
>> I'll walk you through as fast as I can.
42:36
So, uh, the first thing was I found any media editor, uh, like an agency.
42:40
And they were like, uh, three YouTube videos a week is what we do.
42:44
And I was like, all right, then that's what I'll do.
42:46
And so, I just webcammed like, and I had a little suitcase that would open up so I could travel cuz Leila and I were traveling for the year of the sale.
42:52
Um, and so that's what I did.
42:54
Wherever we were, I was like, open up.
42:56
And then because at that time, I didn't have really any work.
42:58
So, I had all these thoughts that I was like, I'm just going to get them.
43:01
I'm going to dump them all out.
43:02
And so, that's basically what YouTube strategy 1. 0 was. Yeah.
43:04
>> Um, I had somebody cold reach out like legit uh to when right as short started.
43:10
They were like, I'll do everything.
43:10
You already have YouTube stuff.
43:12
I'm just going to clip it. Just give me permission. Yep.
43:14
And I was like, >> oh, cool.
43:16
And so, that's >> accidentally started clipping >> 100%.
43:18
And so, that was like we were really early on shorts. >> So, good.
43:22
And then as soon as he did a pretty good job, uh he's like, "You know, if I actually recorded you doing these, they'd do even better."
43:27
And I was like, "Fine, but I only want to do one day a quarter." And he was like, "Fine."
43:31
So he'd fly out for one day and we'd do a 100 shorts in one sitting, 100%. I would just do 100.
43:34
And that that kind of style of of filming and recording is pretty much how I still kind of rock that way, which is like I want I prefer a marathon day.
43:41
Like I'd rather just start at, you know, six and then just rock until every ounce of juice is gone and then it's like great, we'll do it again in a week or whatever. >> Yeah.
43:49
We're sort of like that marathon every day. Yeah. Yeah.
43:52
One of my one of my questions is like what goes into a 2hour YouTube video because you'll do these like master classes two hours and I'm like that is insane.
43:59
And then I'm like I do three hours every day.
44:00
So like now it's become more possible.
44:02
But I imagine that there's lots of >> but three hours was kind of like just going until we got tired. >> Yeah.
44:09
>> Like by 3 hours we're usually like okay like probably need to go to the bathroom probably want to eat some food. >> Yeah.
44:14
And and this show is much less structured.
44:16
But when you're when you're thinking about like the portfolio like >> you the volume is just incredibly important to everything in media these days. You agree with that? >> Oh 100%.
44:26
>> Volume negates luck all day. Volume negates luck. Violence is the answer. Yeah.
44:30
It's like on our wall at HQ.
44:33
>> What formats are you most excited about for 2026 2027? >> Live interactive. >> Okay.
44:39
>> Separate and together. >> Okay.
44:40
>> So just going live like with the audience Twitch style, YouTube live style.
44:44
>> And that was the book launch strategy, right?
44:46
Was that your first taste? You've done live.
44:47
>> No, I've done lives before, but that was obviously, you know, intentional.
44:49
And then um and then interactive, which is not like >> sure there's chat interactive, but like >> how do I bring the audience in so that we can talk?
44:58
That's why you see the uh first it was cash cows, now it's scale or fail, which is the show we just launched.
45:02
Um and we're doing we're doubling down really hard on that because if you think in a world of AI, it's like what are the things that can't be faked? Yeah.
45:09
>> It's people, you know, like I want stakes.
45:11
So for example, like if Mr.
45:12
beast sto uh videos if it was not a real $5 million um or not a real Lamborghini, the stakes disappear.
45:18
Now, to be fair, there's for sure other like a fictional story.
45:22
The whole thing we know is fake and we're fine with it and the story is the story and it will crush that.
45:25
But >> people still want stakes.
45:27
Like right now, chess is more popular it's ever been, but like humans haven't been able to be computers for a long time.
45:32
And so there are definitely these some areas where we want the drama, we want the stakes, and so I don't think that's going to change at all.
45:37
Uh, I love the series that you've been doing with uh, entrepreneurs that attend a conference, they stand up, they give you the P. It's so so good.
45:46
I I just love all those >> live interactive. >> Live interactive.
45:50
>> I'm interested to know how you think Legacy Media will fit into your media strategy going forward. Is it about prestige?
45:58
Is there actually an audience there still?
46:01
Because you're part of the New Guard. Yeah.
46:05
and yet you signed with CIA.
46:07
I'm sure you have the ability to walk into a large media company and get a TV show. Does that make sense?
46:13
Is that something that's interesting to you?
46:17
What would the value be to >> I think it's distribution that I don't have access to. >> Okay.
46:20
>> So like I think one of the biggest like unspoken advantages that exists right now in media is Dave Ramsey has been murdering for 30 40 years because he has 600 radio stations syndicated.
46:31
Everyone's like radio's dead.
46:31
It's like he's murdering it and it's because no one's looking.
46:35
So like I'm I'm an equal opportunist when it comes to attention.
46:38
And so even if it's less or more, if it's something that's completely in this other bubble over here that I have z I have no access to >> and the beauty is like there's still like closer to like there's no monopoly online, right?
46:48
The feed is like you can just get anybody can log on and it's beautiful because anyone can log on.
46:52
You don't have to have an audience.
46:54
You can suddenly have an audience.
46:55
Maybe it's one video, maybe it's a flash in the pan.
46:58
pan. But uh TV still like if you can figure out the right lane you have this sort of like differentiated access to attention and so it's like a different group of people and it's differentiated access that's not just like log on immediately have access >> and when something super pops like you look at all the real estate shows that
47:16
have come out you've got selling sunset uh sir has his show like like there's a huge distribution base that they gain access to as a result of that all you have to do is look at those stars look at their look at their social media and I would say this is I say this lovingly it's pretty weak in terms of what they're doing, but their following Exactly. but their following is still
47:31
but their following is still really strong because it's carried over.
47:34
And so I'm like, if those people actually tried >> on this side and had So I'm an and it's like how do we get it all right?
47:39
And that's kind of the the >> I think this is uh just underrated broadly for mostly tech people.
47:44
They see the trend of the internet growing exponentially or e-commerce and they think, >> oh well in a couple years like 100% of everything will be bought online.
47:54
And it's like, no, retail still exists.
47:55
And you know, for certain categories, you probably need to be in retail as well.
48:00
And the same thing with, you know, the aging audiences on radio or TV, they're still there.
48:05
They have they still watch. And so, uh, interesting.
48:07
What about the level of production polish?
48:10
I imagine that there's a tradeoff there.
48:13
If you go with something uh more produced that's not just you opening your laptop and and yapping, right?
48:20
yapping, right? uh you can get stuck you can you can get stuck in like the production quagmire if you're trying to build the Mona Lisa or or some incredible show at the same time there's prestige that comes with that there's a new level of authority uh how do you think about that trade-off >> I think it's barbo >> so it's either like make it the Mona
48:38
Lisa and like play to win that game >> or you're in the volume game and the volume is just value per second and just trying to get as many of those seconds out as you possibly can and like I just think it's it's it's both and they're I think they serve They serve different objectives to your point of like you gain authority in different ways. It's
48:52
It's definitely there's an element that it shifts the brand.
48:55
There's access to new distribution and eyeballs.
48:57
All of that happens over here. Yeah.
48:58
But over here I think is where you get a lot of the closer to buying behavior, believe it or not.
49:03
And so I see this as more top of funnel and this is like closer to middle and bottom.
49:07
Obviously you can get discoverability.
49:08
Like I said, this is full stack, but you get way closer to purchases on the site. >> Yeah.
49:13
Is there can we offer you a diet coke?
49:15
Can we offer you anything?
49:15
Uh we have a variety of beverages if you'd like.
49:18
What's a category of business that you haven't uh built or invested in uh that you're excited to at some point?
49:26
>> I'm still looking for the the magical med spa.
49:29
>> Um I think med spas are super I love pseudo medical.
49:33
>> Um because you >> What's maxing? >> Yeah. All of it. Well, think about it.
49:37
Like there's this aging population that has more money than anyone else. They don't want to age.
49:41
They see the Brian Johnson's like it is the zeitgeist of right now of like I want to live forever.
49:46
I want to look beautiful and young forever and they have all the money.
49:50
And so if you look at the demand side of that, it's huge.
49:52
And you look at the supply, med spas are are t they're still wildly understaffed.
49:57
And I know this because I see business owners every single week.
50:00
And so I've like there's a handful of categories right now that I'll meet business owners and they're doing better than they should be.
50:06
>> Like there's some business owners.
50:07
>> I met a I met a med spa owner when I first moved to LA.
50:09
They had started their business and within a year they were doing like 1.
50:13
2 2 million of like like straight free cash flow off of like $400,000 invested. Yeah.
50:20
>> And it was like actually unbelievable. Yes.
50:22
The entrepreneur in this case was like very talented >> cuz he watches this and he's like, "Oh yeah, he's great though."
50:27
>> No, but this was this was, you know, years ago.
50:28
But yeah, I'm I'm surprised that also like differentiated shots at that category because if you look at like I would expect Brian Johnson to do something like this, right?
50:36
because there's a lot of people that follow him and he has, you know, as many maybe he probably has like 10 times as many like critics as he does people that are like, I'm going to do exactly what he's going to do.
50:49
But that group of people that will just like copy what he's doing is actually pretty pretty meaningful, right?
50:55
And so meds boss, you go into these like high ticket kind of like procedures, treatments, things like that.
51:01
To me, that's where I think he could uh really start to print.
51:03
He had 1,200 people apply for his million-doll per year thing. >> 1,200.
51:09
Do that math >> real fast, right?
51:12
>> That's a lot of money.
51:13
>> And then there was a $60,000 per year thing that was underneath and multiply that by just probably an order of magnitude greater. >> Yeah.
51:19
>> Wildly underestimated.
51:19
So you take that and then you have these 10,000 or 15,000 med spas that exist. It's like it's nothing.
51:24
And the it's super fragmented because still no one's really like gobbled that up.
51:28
Well, not that that I've seen.
51:30
Um, and to your point of like when I asked them like, "Hey, so what are you doing right now to get your 6 million a year topline and you know 40% margins and they're like kind of just, you know, we just opened up and put the sign up and you just did a good job and and you know you know people customers tell customers like you know that's not how it works. >> Yeah.
51:48
>> And it's not how it's going to work forever.
51:50
>> They're just in a completely uh supply constraint environment.
51:52
They just don't know it because when you're on the inside you don't know.
51:54
You're like oh I'm doing a good job.
51:55
Is part of the problem that a lot of the med spa like founders get a little bit too sucked into the biohacker nature of these things and it feels a little bit too scientific.
52:06
>> I don't I don't think it's that at all.
52:07
I think it's like it's it's so shortterm.
52:10
A lot of the med spas I think are like very short-term cosmetic driven.
52:14
They're like how do we make you look good for the next 3 to 6 months >> which is not necessarily what makes you look good over the next 3 to 6 years >> or over the next few decades.
52:22
So that's at least >> generally >> there's a slice for Johnson to attack which he obviously that's he's a very smart dude. >> Yeah.
52:32
>> How would you attack the problem?
52:32
Roll up find a bunch of operators put them together start something from scratch.
52:39
>> I mean yeah I mean the role model would make the most sense.
52:40
Um the thing is is like denovo is not that expensive. Sure. Yeah.
52:44
Um, and if you are a good operator, you can go in and just smash. Yeah. Yeah.
52:49
Because when when when people are coming in, when your when your CAC's zero and your your gross margins on these services are absurd, the the actual difficulty in that model right now is getting the talent for the technicians because >> because it's supply constrainted at the business level, it's also supply constrained at the talent level.
53:03
And so, >> and it's so easy for them to open up a door. >> Exactly.
53:07
They hang their own shindle.
53:08
They take the customers and like that's the issue that those companies have.
53:10
And so, um, the key to really winning that game is having a really good talent strategy for >> how do I make their lifestyles?
53:16
How do I how do I compensate them as directly as possible on what they're generating and get it to the point where >> my godfather is in wealth management and he has a really cool model.
53:25
He's managed several billion dollars and he but he started at nothing and built it all himself and his big thing was heyo um and his big thing was uh basically letting the other person have a little more. >> Yeah.
53:36
And so it's like he'll he's like I'll give you 51 >> so that you don't ever want to leave.
53:41
>> Uh but then you do all the work. >> Yeah.
53:43
It probably looks more like a law firm over time. >> Yeah. 100%.
53:44
It's more of a partner pro.
53:46
And to be fair, if you've been to any of these uh I would say it's a high touch service.
53:49
They're they're not loyal to the business.
53:51
They're loyal to the girl who does her injections or does their lasers or whatever.
53:55
>> And so it's like we just got to tie those people in like a partner firm. >> Yeah.
53:58
>> Uh speaking of Brian Johnson, do you care at all about living forever?
54:05
>> I don't even think about it. I expect to die.
54:07
Um I would prefer not to, but like >> I'm good. I'm good either way.
54:10
Like I I think Marcus really has said um the the old and the young lose the same thing when they die, which is the present. >> That's all we got.
54:19
>> So yeah, >> I love it. >> I'm a similar way.
54:20
I want to have a full life, but I never at any point in my life have I thought, "Oh, it would just be the best thing ever if I could never die." >> Yeah.
54:32
Uh going back to sort of core audience >> I think of like the sweet spot is like mid-market owner operator founder types.
54:43
Is that roughly accurate? >> Yeah. 1 to 50 million. >> 1 to 50 million.
54:46
>> What is the expansion opportunity?
54:46
Is there a business for you where you're giving keynotes at Fortune 500 companies, motivational speaking for like, you know, middle managers at companies or or or is it or is it getting people on the founder journey who are leaving companies, breaking out into their own and going from zero to 1 million? What do you think?
55:08
>> Well, from an expansion opportunity, like I think there's still plenty of people in 150 million who don't know who I am and haven't consumed my stuff or whatever.
55:13
So, like >> plenty there.
55:14
Um, but the like if I just focus there, I get the zero to a million. >> Sure.
55:20
>> Anyways, because if you're helping people go from one to 10, people are like, he can probably help me go from one zero to one, right?
55:24
Um, and so >> I'm super broadly zooming out.
55:26
I'm a big fan of capitalism and I think as many people as possible participating in a free market is a good thing for the country and for that person uh and for everyone else that they serve.
55:38
And so I would like as many people to taste that that uh that forbidden fruit as humanly possible.
55:43
And so I try and make it as simple and as easy as possible for people to get started. >> Yeah.
55:47
What mistakes do you see entrepreneurs making around AI?
55:49
Because I'll give you one.
55:53
>> The the small business owners that I know that get too in like into AI and maybe they're listening to podcasts and they're on X and and and uh we're >> orange glasses ready to go.
56:05
>> Um >> they'll like they won't just apply AI to their business.
56:09
their business. they'll like start a new company that's like AI oriented and uh and I just think that's like the worst possible mistake because they end up doing something that like the model just does well and it's like okay so you're going to compete just directly with like all the biggest companies in the world
56:25
on something that you don't even know as well as the biggest companies in the world when you could just like and so and so there's like this like >> grass is greener thing happening where instead of seeing like oh I can just make you know these parts of my business even if it's just 10% more efficient. Uh
56:39
Uh I can I can, you know, keep compounding. But what are you seeing? >> All right.
56:45
Uh one, they're using AI to do dumb things really fast.
56:48
Um so they're doing the wrong stuff with AI.
56:51
So even like they were like a small business owner that wasn't making money now still doesn't make money but has a lot more token cost than they did before.
56:58
Number two, they're >> meeting meeting summaries.
57:00
Like I've never been successful.
57:01
Like I I've never >> That was my bottleneck.
57:04
I just need a >> summary.
57:05
No, but but it's one of those things like like I think it's cool that these apps exist.
57:09
I've never uh I've never needed to take notes to achieve my goals in business.
57:15
Like I'm just like, okay, what's the next most important thing to do?
57:18
I'm going to do that thing.
57:20
Okay, what's the next most important thing?
57:21
I'm going to do that thing.
57:21
I've never I've never been like, okay, like what did we say?
57:25
I mean, and I've worked in like small companies, right?
57:26
I've only only been a founder.
57:28
Um but but that's just such an example of like yeah, my meeting note system is like so dialed.
57:34
I'm like okay like how much money have you made today? >> Okay.
57:38
>> So I'll tell you to to to counter answer the two things that I think are the right way to use it which is number one how do we take every function of the business >> take it from an org chart based thinking to workflow based thinking and then saying okay this editor used to be involved in these six workflows.
57:53
involved in these six workflows. uh we actually only need him to be now involved in three of those workflows and the other three we can have AI do the vast majority of the work and so all of a sudden we can three 5x output uh and so revenue per headcount on service based businesses should decrease which means margin should go up now there's this great opportunity window right now where prices aren't really going to
58:11
adjust for a minute which means that your margins get absolutely stupid and so like you should do that so there's two flavors of that one is the uh the like I'm I'm an advocate of like don't tell people you're using AI like go have a service business that people think is all humans in the background and then charge human prices and then have costs of tech and have the scale and operational or the the lack of operational drag of tech. That's the
58:34
That's the good game, right?
58:35
Or take it department by department so you can just become more efficient at at it, right?
58:39
more efficient at at it, right? So those are I think the two good ways of doing it to your point of like well uh being distracted is still a terrible idea as a founder and so this has just made it so much easier for people to get distracted because like I could start a business on
58:52
this or that or that and it's like yeah but you still have your dry cleaning store dude like >> what are we going like and to be fair if you have if you want to be a trillionaire you are going to need to get into bleeding edge tech and AI but you probably should get rid of your dry cleaning store and go all in. And so
59:01
And so they're trying to juggle two plates and not really succeeding at either. >> Totally. Totally. Yeah.
59:06
the the dry cleaning example is like use AI to constantly be monitoring every possible >> new space that you could expand into within your area or in in the county over etc.
59:18
and just do that, do that, do that.
59:20
But it's like grass is greener.
59:22
Like oh what if I what if I made the operating system the agent operating system for dry cleaners.
59:27
It's like no just like do the thing.
59:30
>> Just win at dry cleaning because it's also so much easier to compete against other dry cleaning owners cuz you for sure know that they're not adopting it the right way because they're doing the same thing with orange glasses and and banging out their their replicated software, you know, like fine.
59:41
Yeah, I mean there's also like a fair amount of AI that a lot of small businesses are probably getting for free just in the sense of like if you have a CRM that's sending emails like that company has probably adopted AI and is doing somewhat smarter targeting and so you might not need to go and build your own CRM that sends emails that are customized for every customer because like you get it for free out of the box.
1:00:05
>> There's also this this tendency to rebuild the existing software that you're using.
1:00:10
So it's like, "Oh, I've got, you know, I don't I don't need to pay Calendarly, you know, $9 a month when I" It's just like, "Oh, so instead you're going to use 200 hours to try and recode what they just did and it breaks all the time.
1:00:23
>> If there's an error, then you lose nine grand, >> but like that is what I'm saying all the time."
1:00:27
>> Yeah, we did have a uh Ben on our team here was having had been we he does uh a lot of the automation that we do around like captioning videos.
1:00:33
he had reached a point where all the existing software didn't do the thing that he needed to do that he built something yesterday that now works and that it's saving him a bunch of time.
1:00:42
bunch of time. So there is the there are these edge cases >> very narrow point solutions for us >> I think specifically one >> flip live streams very quickly with captions with our ads added on at the end and it saved a bunch of time in
1:00:55
Premiere >> in media it's huge right like we're using it like I'll give you two examples we're using on the ad side what we did was we built this gigantic data repository which by the way I think that's what the big the huge gap that
1:01:04
small business owners are missing is they don't have a data layer and so it's like if you want to have anything that's unique it starts with data if you want to build any kind of AI right that's actually useful >> and So one is like how do we build a
1:01:13
repository of all the data that we have in terms of sales copy, testimonials, videos, collateral, all of that in one place and then have that get piece meal out into ads >> um in real time and then also match those to dynamic landing pages. So we
1:01:25
So we have that live right now at acquisition.
1:01:27
com in terms of how we're doing it.
1:01:29
So we have several hundred landing pages that are getting pushed against several hundred different uh ad ads that are going out all being done programmatically with AI which is really but like we're we're not a we are not an AI company.
1:01:40
Um, but we use the out of it.
1:01:42
And so I think that those are like those are the the the on the paid side where it's really really exciting. Yeah.
1:01:47
>> And then on the on the organic side, it's like right now we started More Mosy, which is like the highlights channel. >> Yeah.
1:01:52
>> Um, and I've got one one cracked out teenager um who's doing who's putting out 20 20 clips a day >> on his own.
1:02:03
>> No, no, >> he's doing five five mids.
1:02:04
So like we call mids, which is like call it like three to 10 minutes clips.
1:02:07
And then he's putting out, I think, 15 or something like that shorts per day on his own.
1:02:11
And so he just takes all the time if I'm talking to business owners, takes it, runs it through, it highlights the points from there.
1:02:18
He just basically just makes sure that it's good, inserts automatically the the the CTAs that we want, and then boom, it's all >> What's your philosophy on uh bringing the cracked out teenager inhouse uh remote inperson versus agency versus platform where clipping can happen.
1:02:35
in a discord that just you hear about these discords with like 200 clippers and they all get paid on a CPM basis randomly.
1:02:40
It feels deeply chaotic, but if you can harness that, maybe it's powerful, but what's your philosophy? >> Uh, yes. >> Okay.
1:02:49
>> That's 100% my philosophy. Okay.
1:02:50
>> Um, but like are you an agency fan or in-house?
1:02:53
It's like I want three agencies working for me and an in-house team.
1:02:55
Like it's all all the impressions are out there.
1:02:57
Like got to catch them all. Like go get them. You know what I mean?
1:03:00
And same thing with um like if I I pay a lot of attention especially on the paid side to e-commerce.
1:03:03
paid side to e-commerce. I think they're almost always the most cutting edge when it well actually porn's the most cutting edge right before that is I'm being real right e-commerce is second most cutting edge um and those guys are all
1:03:14
completely the ones who are crushing it going to zero to 100 million plus and call it like 12 to 24 months like all the companies that are running the same playbook is decentralized um UGC with kind of like AI backend for screening for control and then just letting it rip. >> Yeah. >> Yeah.
1:03:29
>> And there's obviously some considerations for brand right which is like how do we make sure but If the raw footage is >> and you only put money behind the things that are exactly >> Yeah, it's probably pretty safe.
1:03:38
>> Do you expect to uh integrate parenting content into your universe?
1:03:46
>> I don't think everything that's not business has not been like super deliberate. I just don't hold back.
1:03:49
So, if someone asks a question about it, I'll just answer honestly.
1:03:52
Um, >> but everything I try to think like the middle spoke is still I'll use this. There we go.
1:03:57
The middle spoke is still business.
1:03:58
And then it's, you know, how am I seeing parenting through the lens of business as a business owner? if you want.
1:04:04
>> How do I get an exclusive? We got it over there.
1:04:07
>> And like how do I see like my my relationship with Ila, but it's we're business partners, but we're also married.
1:04:11
So, it's it's always I try to keep that at the middle.
1:04:14
>> Um, but some people are like, I just want to talk, >> you know, with with with Taylor and and Travis pairing up.
1:04:20
>> Hopefully, they have children.
1:04:20
You guys having children.
1:04:22
I think we could see a real baby boom. Yeah.
1:04:26
>> Uh, but uh we need to get it out there.
1:04:28
>> That's what we're doing. The Lord's work.
1:04:29
Uh, can you walk me through how to sort of evolve a brand through what I expected to be more difficult, but you executed it very well.
1:04:39
The headline was, "I have nothing to sell you. Now you sell books.
1:04:43
I people want to buy stuff from you.
1:04:45
Obviously, you sold a ton of books."
1:04:46
Uh, but there's probably like a, "Oh, I wasn't expecting this."
1:04:50
How did you work through that?
1:04:52
Because I think there's a lot of companies where the business model evolves and they need to change their communication strategy and they need to deliver >> like an lab is like we're not gonna compete with all >> what it's crazy asking for a friend here.
1:05:09
>> Um >> I'm I'm such an like I I think the absolute simplest media strategy for any kind of change is the whole truth. >> Yeah. >> Not halftruth.
1:05:17
And I think if you just manage that so it's like I didn't have anything to sell. >> Yeah.
1:05:21
And I was like, "Now I do." >> It's so simple. I love it. >> That's amazing. Wow.
1:05:28
>> And And if if you don't want to buy it, >> here's the great thing about capitalism.
1:05:32
It's voluntary exchange, so you can just keep getting the free >> Yep. >> All good. >> There's tons of it.
1:05:36
There's tons of free stuff. >> Tons of free stuff.
1:05:38
And we still continue to do that.
1:05:39
If you choose to want more help with stuff in person where we're limited. >> Yeah.
1:05:45
>> Spend money and we'd love to have you. >> Yeah. Yeah. It's fascinating.
1:05:46
What is the term for like the economic ladder that you help build help companies build?
1:05:52
I feel like the first time I was exposed to this with Jaco Willink, you you get to the end of the show and it's like if you want to spend a dollar with me, I got something for you.
1:06:00
If you want to spend a $100 with me, I got something for you.
1:06:03
If you want to spend $1,000, you can come to my conference, $10,000, I'll hang out with you for a weekend. $100,000.
1:06:09
And that ladder of price discrimination is a hard for a lot of businesses where it's not token based pricing where it's just as you know uh consumption based usage of the product but actually getting the place where look if you have a billionaire in your audience who loves what you're doing how do you actually get an offer to them that's the right size.
1:06:25
Um I'm a so customers are super fractal right and so you can absolutely make the same amount from 1% of your customers as you can from the other 99 and have half your revenue from one.
1:06:37
Um, and typically like at each level you have another double.
1:06:41
So it's like if you're at, let's say, $100 a month price point, there's going to be another double of revenue at a $500 a month price point.
1:06:46
Another double of revenue at $2,500 a month, uh, another double at, you know, whatever five or 10 times that is going to be.
1:06:54
And so, um, I think making offers available to people, that is where business owners like struggle.
1:06:58
They feel weird about it and they sell out of their own wallet >> when it's just like just make them available and state the facts and tell the truth.
1:07:05
So, it's like if we had one big plaque in our our marketing team, it's state the fact, tell the truth, but it's the whole truth, which is, hey, we're going to do this thing. It's absurdly expensive.
1:07:14
And it's only for somebody who if you're reading this and you're like, oh, that's not exly expensive for me. It's for you.
1:07:18
And if you read that and you're like, oh my god, I'm offended by that. Good news.
1:07:22
We have less offensive prices that are lower.
1:07:25
And for that, we do all these other things that you're going to get way more people who are going to be doing it with you.
1:07:29
But if you're a special snowflake, we have special snowflake prices.
1:07:32
I just don't think and to be fair, you're not going to make everyone happy.
1:07:35
Like there's always going to be trolls.
1:07:36
There's always going to be people.
1:07:37
But like I think you have to make the decision of like do I care more about the people I help or the people who are angry at me for trying to help?
1:07:46
>> What's your international strategy?
1:07:46
I imagine the content goes everywhere. Yeah.
1:07:50
At the same time, you can't be flying around the world constantly.
1:07:51
How do you think about different countries?
1:07:55
I struggle a lot with international um because >> the business side of me is like I don't want them to clog up our funnels. >> Oh >> yeah.
1:08:04
>> And like have people who can't speak English that well talking to the team and it's just like it's like we don't have Italian versions of whatever. >> Yeah. >> Yeah. Right.
1:08:11
So I struggle with that part.
1:08:13
Um on the other hand, we're taking steps now to have something to, you know, serve that audience.
1:08:19
That being said, I don't think I'm going to be traveling internationally anytime soon.
1:08:23
Um, but having called services and offerings for that audience, I'm I'm more inclined to be able to. >> Yeah.
1:08:29
How are you thinking about scaling acquisition.
1:08:31
com, the investing side of the business, raising outside capital, scaling up the fund?
1:08:35
We talked to VCs all day who are just like bigger and bigger mega funds.
1:08:40
>> Yeah, we're like 30 days away from closing a gigantic deal. So, um, >> come back. >> Yeah, it'll be great.
1:08:48
Uh but like uh I would say that what Acquisition.
1:08:51
com was when we started was a cash flow-based family office that Leila and I ran and that was honestly the chillest my life has ever been.
1:08:57
I was also bored to tears.
1:08:59
Um but like a good life and probably might have been better for the season I'm about to get into.
1:09:05
>> Um but it became apparent after we did something like 24 deals in 24 months and these were not like VC style deals.
1:09:09
They were like real, you know, purchases.
1:09:11
um that you know portfolio theory rules and of the 24 like you know three-ish were like the really good companies and then on top of that there was like our brand blew up in this time period and so we had to basically have this recalculation of like okay well >> these are all the resources we have at our disposal.
1:09:30
We have cash but like this brand is getting really big even almost greater than the cash that we have access to just our own money. Yeah.
1:09:38
>> And so then it was like, okay, well, we started the advisory practice in January of 24 and I think we did 36 million in a year >> just on that one unit.
1:09:46
And so I was like, okay, >> founder.
1:09:51
>> And so and then obviously, you know, the book launch uh last year we did, you know, 105 and we still had the advisory practice which grew the next year.
1:09:57
And so, um, I've we basically we stopped doing, um, deals that we were just investors in, >> and now it's brand plus capital plus work.
1:10:09
And I'd rather have fewer eggs that we're going to get huge outsized returns on.
1:10:12
Like school, >> uh, was junior of 24 as well.
1:10:17
>> Um, but school has, you know, we have 30 million users now.
1:10:20
>> Um, and, you know, we have a billion plus GMV.
1:10:22
Like, it's it's a very big platform.
1:10:24
And so like I you know Zuckerberg didn't have Airbnbs as a side hustle, you know what I mean? >> Yeah.
1:10:31
>> And so it's just like if you have if you have a stallion like run it.
1:10:33
And so I think that's where we're at where it's like we're being really really specific.
1:10:38
I'm I'm willing to put more capital at risk now because I'm going to put my brand behind it.
1:10:42
>> Um and make sure the product's exceptional.
1:10:43
And that's I mean the bar is the product has to be insane. >> Yeah.
1:10:47
>> And then we bring distribution and cash and like that's when it's like the the holy trinity. >> Yeah.
1:10:52
Uh Jeremy, our friend Jeremy has this idea that that everyone is like pre or postfall, >> where are you?
1:11:00
>> You familiar with this concept? No.
1:11:00
So yeah, uh he he says you can instantly tell if someone has had their downfall, had their darkest moment.
1:11:07
You know, they've been through the ringer.
1:11:08
They got chewed up and spit out by Silicon Valley or private equity or whatever industry they were in.
1:11:14
And you can tell that this person is now they've they've been humbled.
1:11:19
And so they're ready to build back appropriately, not get over their skis.
1:11:24
And then you can also see the founders, it becomes a massive advantage.
1:11:28
And then you also see the founders that are sort of prefall and they're doing a lot of things that are like, >> yeah, this is like the 24year-old who's like on a crazy tear, has raised money back, they're spending it, and then suddenly like, you know, the business stops growing, like execs are leaving, things like that.
1:11:46
But I'm wondering if you there was like this like crucible moment for you before this latest run that you've been on. >> I So two answers.
1:11:53
One is I'll reject the premise, but um just because I don't like >> to say it's super binary, right?
1:11:59
Like people are either before or after the hard thing in their life.
1:12:03
It's like I think people have lots of hardship that happens at different seasons in their life.
1:12:06
Like I've lost everything two times. >> Um like twice.
1:12:11
>> Um but like that then it's like okay am I now postfall?
1:12:13
It's like, well, I mean, I I hope that nothing bad ever happens to me again, but I'm pretty sure bad shit's going to happen to me again.
1:12:20
>> Um, and so I just commit to not stopping. >> Yeah.
1:12:24
>> Controlling the controllable, and that's basically all I can do.
1:12:26
>> Do you have a good answer to pathy advice for young people?
1:12:30
We got asked this on a podcast recently and it was like the closing question.
1:12:34
It was like, you got one minute.
1:12:36
And I was like, I could you could talk for hours.
1:12:38
Like, where do you even start?
1:12:40
How do you think about packaging information like that?
1:12:44
And I actually want your your your advice for young people if you have one thing.
1:12:48
>> It's so hard to like work hard.
1:12:48
It's like good general advice, but then I I' I've been in points in my life and I know people that are like working hard on like the dumbest thing and like that ends up being the worst thing that they can do. >> Well, think so.
1:13:01
what you accomplish is a direct output of the volume of activity that you do multiplied by the leverage of the activity itself.
1:13:11
And so you have to pick the right boat.
1:13:13
You have to pick the right opportunity based on your goals.
1:13:16
Some people only want to make a million dollars, some people want to make 10, some want to make 100, some make a trillion.
1:13:20
Like everyone has different.
1:13:21
So like the the leverage that what's interesting about that is that you just get to pick and it's going to be hard no matter what.
1:13:26
I think Nal said this thing where it was like it's really hard to build a restaurant that's really successful.
1:13:31
It's also really hard to build a, you know, billion-d dollarar unicorn.
1:13:33
They're both gonna be 80 hour weeks.
1:13:35
And so, you know, and Stuart Schwarzman from Black, uh, Blackstone said like, you might as well play big because level 10 talent has only attracted level 10 opportunities.
1:13:42
It's harder to attract good people for bad opportunity because then you got to do it all yourself.
1:13:47
Which is why I have so much respect for some of the guys like um, uh, Peggy and Andrew Chung who are Mr. and Mrs. Panda, Panda Express. Yeah, >> dude.
1:13:54
Deca billionaires selling selling chicken, >> passing royalty, >> dude.
1:13:58
Like but like like so much respect for that level of grit.
1:14:02
45 years selling Orange Chicken, right?
1:14:04
Um all that to say, >> you will pick based on the level of awareness that you have at that time.
1:14:13
>> Where it gets more difficult is that you learn more as you go and you realize that there are higher leverage opportunities. Mhm.
1:14:18
>> The difficulty is that if you're four years into one thing, year five of an existing thing that you have four years of reps on versus year one of even a slightly better opportunity, you have to compare year one versus year five of the other one, not year one versus year one because time you can't get back.
1:14:31
And so that's where the compounding of getting better at something at some point does have outsized returns even it's an inferior vehicle. >> Yeah.
1:14:39
Talk about that idea of uh you're an A+ uh operator but you're going after a C+ opportunity.
1:14:45
How do you assess your opportunity?
1:14:49
Because I feel like I run into people who are working on A+ opportunities and everyone will say that's the dumbest idea ever.
1:14:55
You're going to put couches, it's going to be called Airbnb.
1:14:58
That makes no sense, right?
1:14:59
And then it's a boom and it's huge.
1:15:01
And then simultaneously, you can be working on a terrible idea, but if you went and got, you know, a puff piece in Business Insider in Forbes, it's like your parents are like, "Oh, it's amazing. Good job."
1:15:10
Even if you're grinding and it's not going anywhere. >> Yeah.
1:15:14
The way the way I look at it is like in every single category there's an amazing business and the funny thing the funny thing with everyone thinks about like Airbnb as like the dumb idea when it's like it wasn't a dumb idea it just seemed ridiculous and that's very different than >> uh like somebody that like chooses apparel as a category which everyone knows is like structurally really really really challenging really really competitive.
1:15:38
Yes, there's like a hundred companies in the world that absolutely print and if you're one of those companies then you're then you're great.
1:15:44
But some people like choose apparel and then 3 years in then they understand the competitive dynamics and they're like I'm in a shitty business.
1:15:50
I think that's very different than like choosing the thing that seems silly even though Airbnb at this point is now >> like the best business, right?
1:15:58
Massive scale network effects, uh a great product, uh all these things.
1:16:03
Yeah, >> I think if you look at the marketplace that you're trying to get into, there's usually going to be a bolus of businesses at some part and that gives you some idea of where the difficulty in that business is.
1:16:14
And so like for example, if you're going to get into I want to start a social media marketing agency.
1:16:18
agency. It's like well there's a bullis at the bottom and then very few who ascend to the top and it's because it's really really difficult operationally because if you're really good at marketing then you can usually make enough money to not work at one of those
1:16:30
types of businesses and so you're constantly uh you have to be so good at ops and so good at marketing and branding and sales in order to just slowly get these bigger and bigger accounts and you kind of level up the types of customers that you can go after. Um because all those businesses
1:16:41
Um because all those businesses go after SMBs and SMBs are inherently volatile and so even if you do a great job, they'll still cancel and so it's just a turn and burn business. >> Yeah.
1:16:48
Not not to mention your flagship client will eventually say like, "Hey, we're spending $100,000 on this service.
1:16:54
We could hire five people that are the best in the world at what they do and they'll just focus on us. Let's do that instead." >> Yeah.
1:17:00
Like there are there are impediments to that business scaling. Can you do it? Absolutely.
1:17:03
But I'm just a huge advocate of just like just look at what the biggest version of that business looks like because this is obviously a more tech forward show.
1:17:10
But like the vast majority of businesses are not tech businesses, >> right?
1:17:15
There's like HVAC businesses all over the place.
1:17:17
There's pool cleaners there.
1:17:18
Like there's a lot of you can do for money.
1:17:20
>> And so I like unless you want to be a trillionaire like you can be a billionaire in just about any boring business.
1:17:27
You look at you look at um what's his name? Is it Brad Jacobs? >> Yeah. >> Yeah. Yeah.
1:17:30
actually six times over make a few billion. >> Yeah.
1:17:34
A few And then he has a sequel. A few more billion. >> Few more billions.
1:17:37
>> You guys are kind of You guys are very Yeah.
1:17:38
I never I never thought of you as home building materials. >> Yeah.
1:17:42
There's just a lot of businesses out there.
1:17:43
And so it just depends on like what the goal is.
1:17:45
But any business done for like zooming all the way out, if you do one thing for 40 years and you get better every year, you're going to dominate.
1:17:53
And so on some level going after the tech opportunity though there there for sure are the big the big mega winners.
1:18:02
It's easier to compete against the people who are going after the pool cleaners.
1:18:06
There's just there's like there's less sophisticated players. There's less capital.
1:18:08
Um and so having a little bit of street smarts and a lot of work ethic can get you pretty far there.
1:18:15
And you look at that compared to like you know you look at the guy who's doing 7 million a year topline, $2.
1:18:18
5 million in bottom line.
1:18:20
Doesn't really work that much. has a crew of guys.
1:18:24
>> Is that the life you want? >> Yeah.
1:18:26
>> Cuz there's nothing like there's nothing wrong with that.
1:18:27
And so I think it's deciding first to the younger guy like what do I want >> or what is an acceptable outcome?
1:18:33
And then what of the many many paths that are ahead of me have the highest likelihood of me getting there.
1:18:38
And then once you pick that path, know that if you stick with that path for 20 years, the likelihood that you fail is basically zero.
1:18:45
As long as you have some feedback loop for improvement. >> That's basically it.
1:18:48
Figure out where you want to go.
1:18:50
Find the highest likely path of getting there.
1:18:53
And then do not let the opinions of strangers or people who do not have what you want dissuade you from getting there. >> Yeah.
1:19:00
What do you think about uh there's this odd trend of uh entrepreneurship like uh I don't know like mindset stuff where you got to be doing sauna, cold plunge, meditation.
1:19:11
And I feel like that only makes sense once you're successful.
1:19:16
And then you look at the successful people and you're like, "Well, yeah, the rich guy has a sauna."
1:19:18
But what was he doing when he was broke?
1:19:21
He was waking up and getting on his laptop.
1:19:22
But yeah, how have you react?
1:19:25
>> Yeah, rich people fly private, so I should fly private in order to get rich. It's it's conflation. Um, >> okay.
1:19:31
So, at the most basic level, you have to do work. >> Yeah.
1:19:36
>> And if it is not the work, then you have to have a very strong argument that is going to increase your output per unit of time. >> Period.
1:19:42
And so if you have a 3ine, have the most energy, you would have to have an incredible Do you curse on the show? >> We don't. >> Okay.
1:19:52
A credible darn argument for You're welcome.
1:19:54
Our kids are our kids are watching, but you know, by all means, >> you have to have an incredible argument for why that's going to improve your output.
1:20:01
And so like the morning routine that I'm a big advocate of is you wake up and then you caffeinate.
1:20:06
>> You shut off your your distractions and then you begin the work.
1:20:08
and how how much you can compress the time from waking to beginning work. >> Sure.
1:20:13
>> Is the ideal and you are the freshest whenever you are post sleep. >> Yep.
1:20:20
>> And so I like if you want to do that stuff I'm like by all means go for it.
1:20:23
But like just understand like you can >> plenty people have hobbies. You can have hobbies.
1:20:27
Like there's nothing wrong with that.
1:20:28
It's just is this actually and you also didn't need to work 16 hours a day in order to get what you want.
1:20:32
I I have plenty of friends who are super successful and don't work that much.
1:20:36
Now, did they work 16 hours a day to get there? Probably.
1:20:38
And so, this is the modeling the rise, not the plateau.
1:20:40
And what's difficult is the plateau is what's more visible. >> Sure. What do you think there?
1:20:44
And then you can make the content, right?
1:20:45
No one's making this part. >> No. No.
1:20:48
>> What do you think about uh people sort of like staging out their sort of career as an entrepreneur?
1:20:56
I was talking to >> a friend of mine who has a something like an agency business and fashion.
1:21:05
He's gonna do like about a million dollars this year of like profit.
1:21:07
It's a fantastic business.
1:21:11
>> He has he he eventually wants to have his own his own brand.
1:21:13
My my advice to him is like fashion is such a like bad business until it's a great business till you have like a flagship brand that takes 20 years to make.
1:21:22
Uh I was like get your business to like a couple million a year. Get it like established.
1:21:29
It's a couple million a year of profit at least. Get it established.
1:21:31
get, you know, 10, 20 flagship clients that are on sort of long-term contracts and then basically use that cash flow to invest in your brand.
1:21:41
And like a lot of people would be like give them the advice now of like just go all in on go all in on the brand.
1:21:46
Like why are you wasting time with this other thing?
1:21:48
And I feel like that's very uh that that works super well like if you have a trust fund.
1:21:52
But for somebody who's like 27, let's assume they want to have a family in a few years.
1:21:58
I was pushing him to say like make this thing great even though you know it's not the thing that you want to be doing for that 40 year chunk of your career.
1:22:06
But how would you talk to to somebody in that sort of space?
1:22:11
>> So I don't think there's a right answer because it's all dependent on risk which is entirely personal. Yeah.
1:22:13
And so if you want to go balls on the line, that's not cursing. Um then then do it. Go all in.
1:22:22
But like just understand the risk that you're taking on.
1:22:24
And so I would say that that's not a risk that I would take.
1:22:28
Um I would say that I'm relative.
1:22:30
>> There's there's risk to being allin and then not having the capital to actually fuel the opportunity. Right?
1:22:34
My point of view was like you're going to be way way way higher likelihood of success if you sort of build slow and you can put half a million a year of like outside capital into the business versus like trying to build this brand when you don't have a a capital source.
1:22:49
>> Depends on goal depends on risk tolerance.
1:22:50
Like I want to be a trillionaire and then and I'm willing to take the risk then it's like yeah I mean you should have started yesterday. You know what I mean?
1:22:57
Um, but my perspective is I would like to get my oxygen mask on personally and I was able to make I've been able to to take significantly bigger and bigger bets in my career because I don't they're free swings. >> Yeah.
1:23:11
>> If I lose my ch my life changes zero.
1:23:13
>> And so in thinking about big life changes, what's been really helpful for me is what is my what tactically changes about my life? Do I change what I eat? Do I change what I wear?
1:23:20
Do I change where I live?
1:23:21
Do I change the car I drive?
1:23:22
And and do these things matter? Right?
1:23:24
Does it change who I'm married to?
1:23:26
If none of these things change, then almost none of these decisions are gonna actually have a huge impact on my life, which then makes the argument for like maybe I should take a higher risk adjusted return move.
1:23:36
But I would say that from the emotional side rather than the logical side.
1:23:39
Um it was I have tried I very quickly tried to have a nest egg to be like I'm good >> and that's what's allowed me to take really big bets like things like school. School's a platform.
1:23:49
thelihood that >> oxygen mass is a is a great way to put that on if you're going to be >> if you want and if you have responsibilities too.
1:23:55
If you're if you're a parent and you've got kids and you've got mortgage and and you want a certain lifestyle for them and certain schools that they you know that cost money um then then you're also risking their futures to a degree and so again it's your decision but just know what you're putting at risk and how much is my life going to change if I lose.
1:24:12
Keith Cunningham has a great frame on this which is just um what's my upside? What's my downside?
1:24:17
And can I live with my downside?
1:24:19
>> If you can't live with the downside, don't take the bad.
1:24:23
>> You mentioned that uh you know the success and the habits are visible at the plateau but not on the rise.
1:24:29
>> At the and I agree with you like you're not actually seeing the accurate picture of the upand cominging entrepreneur, the future trillionaire as it's happening.
1:24:38
But at the same time, a lot of businesses increasingly need to do some form of social media on their way up.
1:24:44
And the risk there is like sometimes companies just get sucked into just being full media companies or the or the brand value and the and the cash flow from the media business outgrows whatever they were doing originally.
1:24:54
Uh what is the right balance?
1:24:56
How should entrepreneurs think in the modern era?
1:24:59
Like if you're starting a company, consumer product in 2026, what's the right level of social media and and actual owned content without it becoming like fake work?
1:25:10
>> What do you mean by fake work?
1:25:11
>> Fake work would be like you're you're growing your following account, but you're not growing your cash flow or your actual >> Yeah.
1:25:17
There's a generation of entrepreneurs, and like you're probably a huge driver of this, that are like uh that are like I need to work.
1:25:22
I need to like I need to build my personal brand.
1:25:26
They don't realize that like if they just make an amazing product that millions of people benefit from, they just default get the personal brand and they could just if you care about like attention and being on camera, then you could just do that later, but maybe just make something amazing.
1:25:40
>> And also, your personal brand is an actual media company that has cash flow and is like a successful business.
1:25:45
>> You wouldn't you wouldn't be you wouldn't I I don't think you would be like on camera if you weren't making No, I wouldn't. I hated it.
1:25:49
It was like it was very hard for me to decide to do this. >> Yeah.
1:25:53
There's a lot of people that are basically doing the media for the cloud and they don't and they and they think put it it's fake work because they're saying they're justifying the cloud chasing by uh saying oh it's marketing for my business.
1:26:04
>> If what you do does not translate into the money that you make and money that you make is the goal then you are doing work that is not effective. >> Yeah.
1:26:12
Um, if to the the example you gave earlier, if you start a a business and you get better at media and the media is making more money than your existing business, then maybe you're better at media than you were at your business and maybe that should be your business.
1:26:23
And so I think constantly being flexible about reassessing what the market wants versus what you have.
1:26:28
Um, >> you know, I think Basos says this, but you know, uh, determined on goal and flexible on path or whatever way he says that.
1:26:35
And he's also a great example of what's Basos's personal brand.
1:26:37
Well, everyone knows who he is.
1:26:38
Does he make a lot of content? No. Why?
1:26:40
just happens to own Amazon, right?
1:26:41
Um and so I think >> it depends on what what um sphere you want to get into.
1:26:47
This is kind of interesting.
1:26:48
Um if you were to say I want to be a big B2B influencer, >> you cannot be a big big B2B influencer without evidence that you are good at business >> period.
1:26:58
You could take and there's plenty of people who take word for word the stuff that I say.
1:27:02
>> There's some aren't there there's probably some good counter examples to that.
1:27:04
We don't need we don't need to name them. >> Yeah.
1:27:07
You know, it's it's tough. It's tough.
1:27:08
Like I would say the biggest the big I think the biggest B2B influencer right now is Elon. Oh, sure. Sure. Right.
1:27:15
And he also has the biggest business and is the richest man. >> Right.
1:27:18
And so and that I think that just cascades all the way down.
1:27:19
The only reason that so like I was I had a podcast that started in July of 2017.
1:27:24
That's when I started was called Gym Secrets and I rebranded as just the game.
1:27:27
>> Um >> but the as I continued to make it uh we went from like you know 2,000 downloads a month to millions >> when I sold my company for 46. 2 million.
1:27:37
And then people were like, "Oh, this guy actually knows what he's talking about."
1:27:40
And then the brand took off because I had evidence. >> Legitimacy.
1:27:43
>> And so I think that the amount of legitimacy that you need to be an influencer depends on the risk that the consumer has in taking action on the nature of the content that you're making.
1:27:55
And so if I'm a beauty influencer, if I buy lipstick or I do a a you know a lash technique, I'm getting the waters I'm not familiar with here.
1:28:04
You paint your face in some way, right?
1:28:06
Um the risk is relatively low. Sure.
1:28:09
Right now you move a little bit over here and you got like personal finance.
1:28:11
Well, it's like who's the biggest there? Dave.
1:28:13
And then there's there's some of the new age ones. Erica Clover.
1:28:14
She's got her, but she was also um >> and there's Vivian too, I think.
1:28:18
Uh, but like they have some credibility behind and like there's tons like if a teacher is in in her basement talking about how you should invest in the S&P 500 and says exactly what Warren Buffett says and maybe they even say it a little bit more compelling than the way than what Warren Buffett says.
1:28:35
>> They won't be Warren Buffett because they just forgot to build Berkshire Hathway. >> Sure. Sure.
1:28:40
>> And so it's like the proof is the pudding.
1:28:41
I think at least my perspective on media is the proof is the pudding.
1:28:45
But it varies in terms of how much proof you need.
1:28:47
Now, if you're ugly as very hard to be a beauty influencer. >> Yeah.
1:28:52
>> But if you can use But if you are ugly and then you paint your face so well that you become hot, >> then you absolutely Yeah.
1:28:57
Because you have evidence, >> right?
1:29:00
And you have a more dramatic point. No, 100%. This is how it works. Yeah. >> I like that.
1:29:04
Uh talk about status seeking.
1:29:06
It seems like in Silicon Valley there's often uh you know, Nal talks about this like there's value. >> Silicon Valley. >> Yeah.
1:29:12
Well, well, that's what I want to know.
1:29:14
Uh in Silicon Valley there's a lot of trend chasing.
1:29:16
of trend chasing. there's a lot of status seeking and there's value in like doing low status activities and I'm wondering in in mid-market entrepreneurship small businesses like what is the shape of that is it different than Silicon Valley is it less pronounced more pronounced like what is the version of look you just need to run
1:29:34
a series of golf courses and be happy with that that type of thing or whatever whatever the equivalent is >> I think it depends on who they compare themselves to I think it just comes down to that I think tech guys compare themselves to other tech guys and they want approval from tech guys and so they do the the activities that tech guys approve of. If you're an HVAC guy, then
1:29:46
If you're an HVAC guy, then it's going to be you're going to do the activities that HVAC people think are cool if they're the peer group that you actually uh compare yourself to, which they might not be.
1:29:56
>> Um, and to be fair, >> I love the tech guys that that sell their business for nine figures and then are like, I need a cash flowing lifestyle business ASAP. >> I know a lot of them. A lot. Like a crazy amount.
1:30:07
Like buying gas stations. Like it's a lot. >> How how bad is that? >> Bad? What do you mean?
1:30:13
Like because I I imagine it's a grass is greener on the other other side thing where they enjoyed building their business. They sold it.
1:30:20
They have all this cash, but they want cash flow.
1:30:21
They want the stability of the cash flow.
1:30:22
And so they want the idea of of running a small business every month >> and they don't Exactly.
1:30:28
But they don't think about what it means to like at 2 a. m.
1:30:31
your gas station got robbed and you got to go down there and sort it out with the cops or something like that.
1:30:35
And so I'm wondering about like what is the actual lesson there for someone who's like about to get over their skis?
1:30:42
Yeah, I think humans are inherently dissatisfied. >> Okay.
1:30:45
>> And I think whatever you have, you want what you don't have.
1:30:47
And so if you're married, you're like, "Ah, what life would be different if I was single?"
1:30:49
If you're a parent, you're like, "Ah, can you remember when we didn't have kids?"
1:30:52
And when if you don't have kids, you're like, "I wish I had kids."
1:30:53
If you're an employee, you're like, "Man, I wish I had an entrepreneur."
1:30:55
And somebody you're an entrepreneur, you're like, "Man, it would be so nice to just show up and clock out of five and have to think about it and get a check."
1:30:59
Like, we just always we want to make we want the benefits of a trade-off without the negatives of the trade-off. >> Sure. >> Yeah.
1:31:06
And so when guys are in the cash flow business, because I'll because I that's who I talk to the majority of the time is like what they're thinking about all the times is like it's hard to sell this business.
1:31:13
Um I'm not really building my net worth.
1:31:15
The multiples that I'm getting on this aren't going to necessarily be that high.
1:31:18
Um I'm dealing with people all day.
1:31:20
I've deal with low skilled labor and I've got, you know, turn issues or finding texts that aren't going to show up drunk on the job.
1:31:24
Like there's like my one of my favorite quotes of all time.
1:31:28
I'm gonna try not to cuss on this one, but um >> my CFO was uh deep South Texas when we were when we were in Texas when we were building Gym Launch.
1:31:35
Um Suzanne Shifflet, shout out to Suzanne.
1:31:37
Um she was the reason we were able to sell Gym Launch.
1:31:41
Um she's she had been she had been a CFO for four companies from 1 to 100 million plus had done a $5 billion exit and I think she had she'd been either buy side or sellside over 20 times. >> Wow.
1:31:54
She was just like she was a mur like just so weathered in a good way, right?
1:31:58
Um and she said, "You know what, Alex?"
1:32:00
She's like, "It's all shit."
1:32:04
She was like, "It's all Every business is It's all shit."
1:32:05
And I and it was but it was like she said it with so much sincerity because I was like at the time I was like, "Man, it'd be cool if we got this kind of multiple blah blah blah."
1:32:13
And she was like, "It just doesn't it's it it all sucks."
1:32:15
And it's just different type of suck, but it all sucks. >> Be satisfied.
1:32:20
Uh, we're at time, but give us a pitch for scale or fail.
1:32:26
>> If you like seeing entrepreneurs try their absolute hardest and have a completely new paradigm shift in 90 days, uh, to scale their business the most, uh, then watch the show.
1:32:34
I meet with them for an hour, give them a whole blueprint of what I would do if I bought the business 100% today.
1:32:40
Um, and then they execute and they compete. >> I love it. >> Amazing.
1:32:44
So, reminds me of PMF or die. >> Yeah.
1:32:46
>> We we we experimented with the show last year.
1:32:49
Uh it was like yeah it was like it was like we we we put this team in an apartment in New York.
1:32:56
They were not allowed to leave for 90 days until or or until they build a million-dollar AR business.
1:33:00
Uh it it it it descended into chaos and it was situation for sure.
1:33:09
>> It was totally crazy and we were like we don't have time to do this and this.
1:33:13
>> But it had it had like hundreds of people watching at all times.
1:33:14
It was actually gripping >> and it was just a live stream of them in the apartment just like cooking.
1:33:18
It was >> but one of them got really good at talking to chat.
1:33:22
It was a whole thing and it was sort of opened us up to that was a good example because like one of them clearly was like a gifted content creator and the other one was like why am I on camera? This is terrible. This is terrible.
1:33:32
>> Did he become a content creator?
1:33:34
>> Uh we got to check in with >> we got to check in with him.
1:33:36
>> But they're both veryent a little bit.
1:33:38
>> Yeah, they both needed to like disconnect. It was >> but uh yeah.
1:33:41
So, so don't do the show live.
1:33:44
Then people will will actually go >> the edit is is awesome, >> dude. Thanks for having me.
1:33:50
>> Thank you so much for coming on.
1:33:53
>> We'll talk to you soon.
1:33:54
>> Congratulations on everything. >> Oh, I appreciate it. Congrats to you guys. >> Appreciate it.
1:33:59
>> Well, our next guest is >> about to join us.
1:34:02
I need to put my headphones back on.
1:34:04
We have Josh from CIV on his Financial Times argument that data centers are the industrial test of the era. Here he is.
1:34:16
>> Josh, how are you doing? >> Welcome to the show. >> How are you? >> We're doing great.
1:34:19
We were just hanging out talking to Alex Herozi.
1:34:21
How are How is your day going? >> Uh, it's good. I'm up in San Francisco.
1:34:27
I'm actually in the Merkel that Oh, no way. Huge numbers. >> I know.
1:34:32
I live in LA, so uh usually I would I'd love to do this in person, but uh >> next time >> up in the bay today, >> next time >> suffering through the cold weather.
1:34:39
>> So take us through the thesis of the latest uh piece you put together.
1:34:41
Uh I have a bunch of questions, but I'd love for you to sort of uh reiterate the thesis statement for the audience first.
1:34:49
>> Yeah, I mean the thesis is really kind of three things.
1:34:51
Um point one is we are living through this era where um we are on the losing end of a bunch of supply chain dependencies in areas like rare earths, permanent magnets, critical minerals and just you know uh manufacturing and industrial capacity more broadly. Yeah.
1:35:09
>> Um and that is a result of choices in part that that we made in the 1980s and 1990s.
1:35:14
Um as well as policies that China undertook to try to pull all of that capacity into China.
1:35:18
um that now I think everybody >> when you say choices we made is we the US government WTO ascension of China that choice or are we talking about choices made by the free market a company just says I'm choosing to buy from China because it's cheaper and I don't care about my supply chain.
1:35:38
>> Um I think it's a little bit of both I would say.
1:35:39
would say. Um you know starting in the 1980s we had a big wave of offshoring where we int companies large American companies intentionally move production into places like China um because they wanted to move it off balance sheet take
1:35:53
advantage of lower labor costs looser environmental regulations abroad um and then as well I think you know we didn't do ourselves any favor with um you know the trade policies uh that we have pursued over the last call it 30 years um before we realized what had happened. Um so point one is you know when you
1:36:07
Um so point one is you know when you have sort of import you know systemically important industries um and you push them overseas you know you never know what's going to happen.
1:36:14
You could find yourselves on the losing end of of really important supply chains and technologies. Yeah.
1:36:19
technologies. Yeah. Um point two is I think you know there's a real risk that uh if we you know stop or pause the construction of data centers or make it really hard to do that in the United States um we could find ourselves in a very similar position right that data
1:36:35
centers are not just you know piles of chips but there are also uh important other technologies power electronics like transformers and switch gear um the kind of stuff that our portfolio company Giga Energy makes as well as you know more more basic industrial inputs like steel and that has to be made somewhere. And today, because of the shortages for
1:36:51
And today, because of the shortages for a lot of those goods, as well as the fact that, you know, data centers are at the very cutting edge and they're they're financed by some of the deepest pocketed developers on the planet, there's a willingness both to pay for faster uh and more advanced technology.
1:37:06
And so companies that, you know, like Giga are both able to do some of this stuff in America in a way that would wasn't possible or wouldn't be possible without this kind of generational demand pull.
1:37:15
And there's also demand for new technologies, things like you know optical links or solid state transformers um that you know now there's sort of a chance for the US to get ahead and again because there's a source of demand to pay for it all.
1:37:26
And then point three is again because these are sort of some of the deepest pocketed uh corporations out there you know financing all of this that to the extent there are trade-offs and the in the you know in the form of things like higher energy costs that in some cases do arise when data centers are built that that can be solved by having the the hyperscalers pay for some of that.
1:37:44
And so I think there's a better outcome here when that better advantages or supports America's long-term economic competitiveness than just saying we don't want to do this here let it be done offshore.
1:37:54
uh do you have an idea of uh a a thesis particularly around why America is currently so strong in data center construction?
1:38:05
It feels like when I when I count up the the gigawatts uh America is doing fantastically.
1:38:11
Uh we we are in the lead.
1:38:14
Of course I agree with you on everything. We got to hold the lead.
1:38:17
But I want to retreat to the source of strength that got us here in the first place.
1:38:21
Because when you tell the story of there's going to be a new industry.
1:38:26
It's going to be industrial and it's going to really start in 2000 and run until 2026.
1:38:34
If you had said shoes, I would have said that's going to happen in China.
1:38:37
that's going to happen in China. I you know if you had said any other any other piece of the economy I would have said that absolutely would have been pushed offshore pushed out of the United States and yet we got here to this place where we do have you know Virginia and and you know AWS and GCP and Azure and so many
1:38:57
uh massive campuses and the question is really just are we going to go bigger but why why didn't we build the data centers abroad in the last two decades before there was all this discussion about nearper competition, geopolitics, it feels like that would have been the natural choice and yet we did choose to build here throughout the last two decades. >> Yeah, I think it's a great question. Um
1:39:17
>> Yeah, I think it's a great question.
1:39:17
Um I think it really comes down to two things.
1:39:21
One is that um even today still latency really matters, right?
1:39:23
If you are trying to serve customers that care about getting their data or their inference uh as quickly as possible, um you need data centers to be sort of, you know, close to to the customers they're being served.
1:39:36
Um, I think there's a real chance for what it's worth that that matters less and less over time as um, you know, as as inference uh, workloads become more agentic, right?
1:39:45
Like agents don't care if they have to wait 5 seconds if you're away from your computer for two hours running a long a long query and you know it takes a little longer because the data center is somewhere else.
1:39:55
You're not going to notice that.
1:39:56
And so I think to me what that means is these supply chains are going to be formed today, right?
1:40:00
The data centers are being built today.
1:40:02
the the the factories that supply them are being set up today when speed and reliability and industrial capacity matter.
1:40:09
And so I think there's also a real risk that if we wait and those supply chains are built somewhere else, it's going to be really hard to reverse this.
1:40:16
And the point I'm trying to make with the rare earth comparison is like we know how devastating that can be.
1:40:21
Let's think really hard before we make that mistake again.
1:40:23
When you think about the rare earth uh situation, it feels like a lot of that stems specifically from China's leverage over the United States.
1:40:34
I think it would be a very different discussion if it was Canada or uh you know, Germany.
1:40:38
And when I think about the AI supply chain, I go to Zeiss and Trump and ASML and TSMC and SKHEX and I'm in Western countries.
1:40:47
Do you think that there is a that there is a discussion to be had about uh the the the the sphere of influence beyond America but uh in the west where we can partner on data center construction reliably or is this uh is it is it actually critical to have uh the vast majority of data centers built out within the the 50 states?
1:41:15
>> I don't think they have to be um in the 50 states for sure.
1:41:17
I think there's definitely room to collaborate with allies both in where the physical data centers are located as well as um in the supply chains, right?
1:41:24
We're not going to make every single thing that goes in every single data center um in the United States.
1:41:29
But but I would say maybe two things that concern me.
1:41:30
Um one is, you know, it came out a couple of weeks ago that the Chinese government um is reportedly planning a $295 billion fund for data center construction.
1:41:40
So the Chinese government, unsurprisingly, because they run this play before, they get it right.
1:41:46
they understand how important all of these technologies and supply chains are.
1:41:49
Um the second is today there are lots of important pieces of the data center supply chain from you know the GPU manufacturing at places like TSMC to the ASML EU lithography machines that really can only be made in you know western allies like Taiwan and the Netherlands.
1:42:08
Um, I think if the the history of industrial development tells us anything, it's that we can't rely on that being true forever.
1:42:14
Um, and so, you know, taking action today to make sure that, you know, while there's a chance to take advantage of this capacity and this demand to build next generation technology, industrial capacity in the United States when these technologies aren't commoditized and can't be bought more cheaply from a place like China is kind of, you know, it's it's an important window of opportunity.
1:42:34
And if we miss that opportunity again, I think there's a a world where we really regret it.
1:42:39
You know, that doesn't mean just we should build all the data centers.
1:42:41
We should have no no restrictions, no regulations.
1:42:44
I think that would be a big mistake.
1:42:45
And I think that is a way to politically get wrong, you know, wrongfooted and and generate a lot of opposition, which is why it's important that, you know, some of these energy costs be moved onto onto developers as well as, you know, things like environmental restrictions being put in place to make sure that we do this the right way.
1:43:00
But I think it's important that you know that to me the lesson of the rare earth example is you've got to balance these things, right?
1:43:05
It can't be all of one or all of the other. >> Last question.
1:43:08
You uh you wrote this in the Financial Times.
1:43:12
It clearly will land with a geopolitically minded audience, but uh while I agree with a lot of what you said, I can't imagine it uh translating very well to everyday American voters who see AI as very deeply unpopular.
1:43:27
How are you thinking about the the jumps and the translation layer that needs to happen to actually get, you know, American voters on board with this plan? >> Yeah.
1:43:39
I mean, look, to me, first of all, completely agree.
1:43:42
I think there there is a real opposition to data centers in part because, you know, yes, they're they're big and they can be kind of ugly, but the reality is I my view is a lot of that has to do with the fact that they are the physical representation of of AI, right?
1:43:56
If you look at the Instagram comments, like you can very clearly tell that uh the vast majority of people that are like commenting on like data center bad content have never seen a data center.
1:44:06
Like they're nowhere near one.
1:44:06
Uh they might live in a major city that they don't even see them.
1:44:10
But >> yeah, you can see data centers putting up signs that say no AI served here. >> Yeah.
1:44:15
But they don't like the idea of they're losing a job or losing out financially or watching companies get even bigger than they already are. All of that.
1:44:23
So yes, it's a referendum, but then how do you bridge that gap?
1:44:27
>> Yeah, I I think it's really uh a few things.
1:44:30
Um one is when a data center is built, right?
1:44:33
Making sure that you know if we have policies in place that uh you know push data center developers to build their own clean generation and ultimately connect it to the grid that having a data center could mean your energy costs go down, right?
1:44:45
So that's point one is make the the localized costs go away.
1:44:48
And that's something that's that's very achievable.
1:44:50
Um, point two would be, you know, I think when we talk about, um, what the effects of AI on the labor market are going to be, I think taking a more, you know, reasoned view than just, you know, saying, oh, it's going to wipe out 50% of all white collar jobs by some date that's not that far in the future.
1:45:06
You know, I think the evidence is pretty mixed and the jury is still out and we have a lot of chances to use public policy tools to make sure that that's not the case.
1:45:13
that that's not the case. uh and to tell a sort of a more balanced story and ensure that the American people know that um you know it is not going to be job apocalypse and that you know it's going to be the kind of transition that that other large technology transitions
1:45:26
have been where you know over time the composition of the labor force changes but ultimately it's a source of growth and a source of new job creation and then the last one and this is really the point I'm trying to get across in this
1:45:36
article is there are lots of parts of a data center from the steel to the transformers that need to be made somewhere in a factory and somebody's going to be working in those factories and there is a real opportunity to make sure that those jobs are American jobs and that's something
1:45:53
that I would also be in favor of using public policy to encourage not just because you know those jobs themselves are valuable but also because the industrial capacity they represent is valuable and for all the reasons that we all know that re-industrialization is important. >> Yeah. Yeah, that makes a lot of sense. >> Yeah.
1:46:07
Yeah, that makes a lot of sense.
1:46:08
Uh actually while the data center doesn't have that many people working inside of it, the supply chain is very deep and complex.
1:46:13
Uh so that makes a lot of sense.
1:46:15
Thank you so much for taking the time to come chat with us.
1:46:18
>> Yeah, great to have you on Josh.
1:46:19
>> Have a great rest of your week. Enjoy.
1:46:20
>> We'll talk to you soon.
1:46:21
>> Let me tell you about Shopify.
1:46:21
Shopify is the commerce platform that grows with your business and lets you sell in seconds online, in store, on mobile, on social, on marketplaces, and now with AI agents.
1:46:31
Our next guest is John Michall.
1:46:36
Did I say that correctly? from American >> term. Welcome to the show. How are you doing? First time on the show.
1:46:43
Please introduce yourself and the company.
1:46:46
>> Uh my name is John Malhone.
1:46:46
Um my company is called American Turbines.
1:46:49
We build small turbines uh for rapid deploy energy generation. >> Okay.
1:46:55
Uh how small are we talking?
1:46:55
How can I think about this?
1:46:58
Help me help me place it in the in the world.
1:47:00
How much energy is it generating? >> Yeah.
1:47:03
So you could probably fit one in the back of your pickup truck. few of them actually.
1:47:07
>> Um >> ours are about one megawatt in size.
1:47:08
Our first units >> and so you can think about a megawatt could probably power about >> just over a thousand homes. >> Yeah.
1:47:17
>> In back of a pickup truck.
1:47:17
So they're tiny but you know they pack a big punch.
1:47:21
They're quite power dense. >> Yeah.
1:47:22
And then talk about the the the supply chain and the actual energy source. These run natural gas.
1:47:29
What are the inputs to actually getting gen energy? >> Just natural gas.
1:47:32
That's why we're calling American turbines because United States is very uniquely advantaged compared to the rest of the world.
1:47:38
Best place in the world to use natural gas.
1:47:41
We have such an amazing supply of it. It's extremely cheap.
1:47:43
Um and we have a lot of resource that we haven't tapped yet.
1:47:46
Uh so this company just works well in the States.
1:47:49
You know, it wouldn't work in Europe.
1:47:51
It wouldn't work in Russia or China. Just works here. >> Yeah.
1:47:54
So what does the team look like?
1:47:57
What does the manufacturing look like?
1:47:59
Are these like handmade at this point?
1:47:59
I mean, it's a young company.
1:48:01
Take us through a little bit of the history.
1:48:02
I mean, >> handmade American turbine.
1:48:05
>> Uh, I mean, I imagine that it's not fully lights out robotic factory yet, but maybe that's the vision in a few years. But where are you today?
1:48:13
>> Uh, we're pretty small. We're a small team.
1:48:15
There's there's a few of us on board right now.
1:48:16
We are hiring, so check out our website if you want to roll.
1:48:18
Um, but yeah, we're right now it's just handmade, but that the the goal here is really being able to make something you can mass manufacture.
1:48:25
Like that's that's the end goal.
1:48:27
Everybody is more so worried about time to power.
1:48:30
how quick can you get some energy generation in the ground?
1:48:33
And the only way to really achieve that is figuring out automation at scale and how to make a product at scale.
1:48:37
That's kind of where we've built at turbines over the years is we've they're all kind of derived from aircraft and you have to kind of be stringent to the standards of the FAA and it has to be able to travel at 600 miles an hour.
1:48:48
>> We sort of work background from back from these systems and understand how do we make this on the ground.
1:48:51
But what we're trying to work out is like the opposite way like just make it for the grind.
1:48:56
Make something very simple.
1:48:56
It doesn't have to be a fish.
1:48:57
It doesn't have to last forever.
1:48:58
You don't have to run this at 600 mph, 30,000 ft in the air.
1:49:04
Um because the problem that you're really solving is is really just energy generation at scale. >> Can you Sorry, Jordy. Please.
1:49:12
>> Uh what what were you doing before this?
1:49:14
How did you how did you kind of end up in in this category?
1:49:16
Uh and and what was the backstory on becoming a teal fellow?
1:49:23
>> Um what did I do before this?
1:49:23
I did a company called Crops Safe.
1:49:25
We built farm tech software, you know, of all things.
1:49:28
It's quite the pivot I must say.
1:49:28
Um but uh quite different and kind of how I fell into American Turbines and why I'm doing this now is you know I I finished up that last company and I realized that all my free time I just spent you know mechanic and stuff.
1:49:41
All the cars I've worked on or have owned over the years have just been 70s cars and they're very mechanical machines. My dad's a mechanic.
1:49:49
Spent a lot of time working with him.
1:49:50
Few PL I flew planes pretty young as a kid.
1:49:52
So, I'm quite familiar with how the turbine works, how it put together, what people we need to hire to make it happen.
1:49:58
Um, so I figured, you know, my next company should be something that is fun and exciting and cool and I can scale and I can work with hardware and I think it's very hard to compete with finders that just, you know, just like this stuff.
1:50:10
Like the car behind me, you can see the K truck. That's my car.
1:50:14
>> And it's got a I want one of those.
1:50:14
I want one of those trucks so bad.
1:50:16
Every time I see a video of one, I send it to my wife. I'm like, we need one. I love it.
1:50:23
Uh, can you get me up to speed on intellectual property in this category?
1:50:28
Like I imagine that there's a patent that existed maybe a long time ago on a turbine.
1:50:32
Like can you build on the shoulders of giants?
1:50:34
Like how do you actually create something that you can own that can't be disassembled and copied or is it sort of a free-for-all? >> Yeah.
1:50:44
So there there's a bunch of patents.
1:50:46
Same with any hardware piece.
1:50:47
There's a bunch of patents. >> Yeah.
1:50:49
>> But there things with patents are very specialized.
1:50:50
M >> the turbine isn't actually very hard.
1:50:51
It is hard to make, but it's not very complicated.
1:50:55
Our system will probably have less than 40 parts on it.
1:50:57
So that's that's quite small.
1:50:59
Um so there's not it's not crazy.
1:51:03
The product itself at American Turbines isn't >> I don't see it the turbine itself is like we're going to have a bunch of IP on this.
1:51:10
We're going to spend six years filing pass and we're going to have this like specialized thing we're going to have in a few years. That that sucks.
1:51:16
That's what a lot of people are doing with like super critical stuff and a lot of specialized turbines.
1:51:19
It's just like you're waiting five years for what?
1:51:21
So, our our product I I see in the future is is really just the manufacturing at scale like our factory.
1:51:27
Like that's really what Henry Ford was able to do with the Model T.
1:51:31
Like >> the product wasn't the car.
1:51:32
It was kind of the the promise that with the process of manufacturing at scale and these assembly lines, we could create a whole new industry of transportation. And it worked. It worked for him.
1:51:40
And we kind of need the same for energy is we need to figure out how to produce at scale.
1:51:45
Um, and you can you can only do that in in kind of automated ways that that we're focusing on. >> Amazing.
1:51:51
Well, congratulations on the launch.
1:51:53
Thank you so much for coming on the show.
1:51:54
Have a great rest of your day and we'll talk soon back on soon. Thank you very much. Cheers, John.
1:51:59
>> Let me tell you about the New York Stock Exchange.
1:52:01
Want to change the world?
1:52:03
Raise capital at the New York Stock Exchange. Just do it.
1:52:06
Stop making excuses and do it.
1:52:09
Our next guest is Dena Shakir from Lux Capital. She's a partner there.
1:52:14
She's been on the show before and we're very excited to have Dena back on the show. How are you doing?
1:52:20
>> Hey guys, great to see you. >> Great to see you too. Welcome back.
1:52:21
Uh give us the latest on the portfolio investments also.
1:52:26
I mean I want to zoom out at some point and just uh take your temperature on how things are going in the private markets and the AI boom.
1:52:32
But first give us the latest and greatest. >> Absolutely.
1:52:37
Well, we've got a lot of exciting stuff going on all the time and there's definitely no summer lull as you know and are reporting on anywhere in Venture and certainly not here at Lux.
1:52:47
>> Um, we had a big >> even by August.
1:52:48
August I think we could be seeing a bit of a lull.
1:52:52
>> I feel like it's always like it it feels crazy and then you get to mid August and it's like okay >> maybe that's wishful thinking on your part guys.
1:52:58
I don't know if you're going to be taking that August vacation.
1:52:59
This it's definitely lots of excitement, lots of activity.
1:53:04
Our partner meetings are filled with deal pitches and we've got announcements coming up >> uh you know nearly every day here.
1:53:09
So there's a lot going on. >> That's great.
1:53:12
>> Especially in the world of AI. >> Yes.
1:53:13
What's the latest in the world of AI?
1:53:15
What's the >> Well, I'm excited to talk to talk about one of our newest investments that we uh just announced last week.
1:53:21
It's actually our very first investment in the GCC uh a company called 101.
1:53:25
Um we had the chance to invest really early.
1:53:29
We were there when it was just Bal in an idea and the seed round have been following it closely uh and preempted the series A a $30 million round um in partnership with early investors including GC and CIV and SABL actually joined us as well.
1:53:46
Um super excited about the opportunity for applied AI in the Gulf. >> Yeah.
1:53:50
What does uh what is the status quo of of software in the critical infrastructure space?
1:53:56
Like you hear about these massive machines from Seammens and I imagine that there's some maybe web-based dashboard for something or other but are those companies asleep at the wheel?
1:54:07
Is there just so much opportunity that you can do a yes and solution where it's not a rip and replace but it's an additive functionality for critical infrastructure uh managers and companies like what is the shape of the job to be done?
1:54:21
>> Yeah, I mean there's a real green field opportunity especially in the region.
1:54:25
It's going to come down to the application layer to deployment.
1:54:26
This is, you know, not a novel concept.
1:54:30
There's a lot of discussion right now about the distribution advantage.
1:54:31
You know, we're sort of moving beyond the mode of models into actually who can deploy on the ground with partners.
1:54:38
And what's exciting about the GCC is of course we think about them a lot as investors, right?
1:54:44
There's a lot of money coming in from the UAE, from Saudi, from Qatar, and elsewhere into these companies.
1:54:49
But the idea of a homegrown company that is built for the GCC, which is a true global hub, clearly not only on the investing side, but actually on the customer side where there's an opportunity for, you know, really fast, massive, multi00, billion dollar types of deployments um at scale.
1:55:07
Something that you really don't see anywhere else in the world. >> Yeah.
1:55:11
Really quickly, we got to we got to hit the gong.
1:55:18
It came in the middle of an answer, so I didn't get a chance to do it, but Jordan, please. >> Yeah.
1:55:22
What What is What is deal flow like coming out of coming out of the Gulf?
1:55:26
Like I I can't imagine it it's more than like 10% of the opportunities you're seeing maybe like 5%, but how are you evaluating those opportunities?
1:55:36
>> And do you go there or do they come here? How does that work? >> Yeah.
1:55:39
Do they comes here, but then they're entrepreneurs?
1:55:42
Do they come and do a road show here or you know what is It it's it's still really early days.
1:55:45
Um there of course have been companies innovating in Dubai and and um and all over the Gulf for quite some time.
1:55:52
This is our first investment in you know 25 years.
1:55:56
That's a company headquartered there.
1:55:58
Certainly we have a lot of companies that are doing business there or companies that have gotten investment from the region.
1:56:02
Um but it's still early days.
1:56:04
What's really exciting about this company uh among many other things is the founder and the founding team and this thesis that they have around the diaspora.
1:56:12
So how can they catalyze some of the best and brightest entrepreneurs from the region who have worked in the US you know Bilal the founder and CEO was born in Jordan studied computer science at Yale uh worked for many years at scale helped to grow their business in the region had the opportunity to do anything and saw that there was this incredibly unique opportunity to build a homegrown sovereign AI company focused on the GCC.
1:56:36
when we invested it was just him in an idea and he has attracted some of the best and brightest.
1:56:41
It has been such a joy just to watch the incredible talent that he's amassed around him and that was one of the early signals for us to really double down.
1:56:50
>> What are the key stops on the calendar in the Gulf these days?
1:56:54
If you're in America, you might go to liquidity by the all-in team.
1:56:59
You might go to SF Tech Week, Milin Sun Valley.
1:57:02
Uh what are the key stops if you're investing or doing business in the Gulf?
1:57:09
>> Well, the big one especially in the last few years has been FII which take takes place in the fall in Saudi in Riyad.
1:57:16
It's known as Davos in the desert to some.
1:57:19
>> Um so that's that's a big one and many people do a trip around that where you know Milkin does a big uh summit as well in um in Abu Dhabi.
1:57:26
Um and you know a lot of folks are doing global conferences and actually creating their own versions in the Gulf because there is a lot of opportunity again not just on the on the investing side but actually now increasingly on the talent side and we're excited to be at the forefront of that. >> Yeah.
1:57:43
Web summit's out there too but tough web >> because AI killed the web and the web doesn't even really exist anymore but they need to rename it.
1:57:51
They should just rename AI Summit. There you go.
1:57:55
>> Well then AI will be out of date.
1:57:55
We're going to have to just be constantly changing the name names for all of these >> potentially. Potentially.
1:58:00
Uh, how are how are Gulf based companies pricing relative to San Francisco based companies?
1:58:09
>> Honestly, I think the global market for these companies for the absolute top tier of talent is pretty consistent and it really just comes down to that team.
1:58:16
It's not about being golf based.
1:58:16
There's no discount for a founder like uh like Bal when you see that talent for a generational company.
1:58:23
um you know it it the prices are going to look like they do for gener generational companies anywhere in the world.
1:58:29
Uh he's headquartered between London and Dubai you know has attracted talent from all over the world including many many folks actually you know from from Silicon Valley as well.
1:58:38
Um so no discount there but >> Deep Mind is a feeder in London like >> Deep Mind is a feeder there's really no limit uh on the opportunity lots of great alums coming out of scale as well.
1:58:50
>> Oh yeah that makes sense.
1:58:50
Well, uh, congratulations on the latest news and thank you forward to meeting him coming on and talking to us for >> you've got to have him on. He's excellent. Great to see you guys. Thanks for having me. >> Thank you so much. We'll talk to you soon.
1:59:04
>> Let me tell you about Cisco critical infrastructure for the AI era.
1:59:06
Unlock seamless realtime experiences and new value with Cisco.
1:59:11
And our next guest is on an absolute tear. He's back on the show.
1:59:19
Hussein Fazal from super. com. How are you doing? >> Good.
1:59:23
Thanks for having me back to the show.
1:59:24
Uh absolutely uh incredible run. Give us the numbers. Give us the news. What happened? I want to hit the gong. We might have to hit. >> Yeah. Very exciting. So we >> What' you do?
1:59:36
>> We just raised our series D 65 million led by TPG at valuation. >> How much? What was the valuation? >> Yeah. 1. 2 billion. >> Here we go.
1:59:48
>> We got We got warmed up.
1:59:48
We warmed up the gong, so now we can do the real hit.
1:59:54
I just did the warm-up hit.
1:59:54
Uh, what is what is unlocking the growth?
1:59:56
Uh, sort of describe the current customer flow, the current product, and and how you're actually scaling revenue so quickly. >> Yeah.
2:00:05
So, so the app is a savings super app.
2:00:10
>> So, the vision is eventually anytime you want to buy anything, you're opening the app and it's going to be able to either get you the best price, get you the best cash back, redirect you to the right spot.
2:00:19
Um, so when the company started 10 years ago, it just started with hotels and it was all about saving 20 to 30% on hotels.
2:00:26
Uh, and yeah, it's been 10 years, right?
2:00:29
And we just added more ways to save.
2:00:31
So you can open the app now.
2:00:33
You can save on gas, on insurance, on pharma, on a whole bunch of stuff.
2:00:37
We've added financial services, so you could go and swipe your card and get cash back and build your credit score.
2:00:42
Uh, you can even, you know, take out a bit of cash via cash advance if you need to make ends meet.
2:00:46
So, it really is evolving into this into the super app.
2:00:50
But, you know, when I say Yeah.
2:00:50
When I say super app, we're not we're not building determinism. >> Yeah.
2:00:56
>> We're not building WeChat.
2:00:57
>> You're not Oh, you're not building.
2:00:58
>> So, you're you're not going to be you're not going to be paying government bills.
2:01:00
You're not going to be chatting with your friends.
2:01:01
So, I call it a savings super app.
2:01:03
So, anytime you want to save money, that's the app you should be open.
2:01:06
So, kind of staying in that category. >> Okay.
2:01:08
So, so then uh where where are the bounds of the of the savings super app?
2:01:14
Because uh I can imagine savings accounts then >> bonds are a form of savings under a mortgage car loan like how consol Yeah.
2:01:23
How how how risk on can I be with my savings? Can I go lever long?
2:01:29
>> So so I what we're not doing is we're not turning into a bank, right?
2:01:32
So we're not going to have savings accounts.
2:01:34
We're not going to have investment products.
2:01:35
When I say saving super app, I mean it's basically like whenever whenever you're spending money, you could be saving um by using the app, right?
2:01:43
So, you're spending money in a hotel, you can open the app and you can save 30%. Right?
2:01:46
You're doing your everyday shopping at any store.
2:01:48
Well, you could, you know, through a link similar to Racketin, you could go and shop and you can get cash back or you're going to the grocery store, you can use your super.
2:01:58
com Mastercard and you can earn cash back.
2:02:01
Um but the difference I would say is it it a lot of the products we built have been focused on what we call the everyday American.
2:02:08
So under 100k household income, right?
2:02:09
So what you'll see is, you know, our card functions like a secure charge card.
2:02:14
A lot of our customers can't get a traditional credit card that gives them, you know, high cash back, high rewards, but this lets them use the money they have, but still be able to earn 1% cash back.
2:02:27
>> Um in the app, you'll see the ability to take out a cash advance.
2:02:30
So, if you're looking to make ends meet, typically, you know, you're going to a payday lender and you're paying really high interest rates, but we'll we'll let you take out kind of a no interest um cash advance and you can go and you can go and and take money to help you make ends meet.
2:02:45
Um, so a lot of the products we've built have been for that demographic, the everyday American. >> Got it.
2:02:51
>> What's something that Super does operationally that you haven't heard of another company doing?
2:02:58
>> That's a that's a really good question.
2:03:00
Uh what I I mean I'd love to talk about AI because you know that's that's the theme of the day.
2:03:04
I know you guys just got off a conversation about AI.
2:03:05
I'll say I think internally we've moved uh faster or as fast as any other company when it comes to AI adoption.
2:03:13
So I'll give you an example.
2:03:15
Um every once in a while when I open the app and I see a bug which is uh pretty rare uh but it does happen. Uh I used to take weeks.
2:03:23
So I would take a screenshot, I would submit it, you know, a QA person would verify it, an engineer would prioritize it, an engineer would build it, it would then get deployed to staging, then deployed to production.
2:03:34
Now I can take a screenshot, I can share it into Slack, and an AI agent will pick it up, fix it, and deploy it to production within minutes.
2:03:43
So I think, you know, our ability to leverage AI to move fast, that's just one small example, but it's allowing us and enabling us to add more and more ways for our customers to save.
2:03:54
we can just build products really fast uh and find and build more ways for our customers to save faster than ever before.
2:04:01
>> What's the what's the customer acquisition funnel like?
2:04:04
I mean, you're partnering with NASCAR.
2:04:05
How broad do you go to reach those everyday Americans?
2:04:09
How much is direct uh direct to consumer advertising versus brand level advertising? What's the strategy?
2:04:17
>> Yeah, really good question.
2:04:17
So I would say still about 90% of our marketing spend is performance advertising.
2:04:21
Now what I'll tell you is right now >> we advertise specific products as opposed to the app as a whole. Right?
2:04:30
So no consumer is like oh yeah the savings super app I need that in my life.
2:04:35
I'm going to go download it right now. Right?
2:04:38
Typically what happens is they're looking for something in particular.
2:04:40
So they're looking for a hotel and they're like oh wow super.
2:04:43
com seems to have a great hotel deal. Right?
2:04:45
or they're looking to build their credit score for a cash advance and they're like, "Oh, wow.
2:04:50
This seems like a product that could be useful to me."
2:04:52
And they come in via performance marketing for individual products and that's how they get introduced.
2:04:58
Once they come in, of course, we can then show them other things and other products they can do within the app.
2:05:05
So, it's about 90% performance, about 10% brand.
2:05:06
Uh, NASCAR has been great.
2:05:10
Um, so that is truly, you know, an everyday American type of sport and and you know, I' I've gone to a few races.
2:05:18
I've spoken to customers directly.
2:05:20
Uh, and it is a great spot for us to do brand marketing.
2:05:24
>> How do the how do credit scores interface with what you do?
2:05:26
Are you pulling credit scores from the credit rating agencies?
2:05:31
Are you delivering information to those agencies to update people's credit scores? Uh, what is the flow?
2:05:39
>> Yeah, that's that's a good question.
2:05:40
There's a bunch of ways in which people can improve their credit scores, but but you have it right.
2:05:44
So, we are reporting to the major credit bureaus.
2:05:45
We are pulling that information back so they can see their credit scores.
2:05:49
Um, and there's a bunch of things you can do.
2:05:51
We can do, you know, rent reporting.
2:05:52
We can do it based on the secure charge card.
2:05:57
And there's multiple ways to improve your credit score.
2:06:00
>> Back on NASCAR, uh, how did you what is what does getting into NASCAR actually look like?
2:06:08
like if if a founder is NASCAR curious, what what advice would you give them? >> Yeah.
2:06:14
So, I mean there's a lot a lot of branding opportunities.
2:06:17
So, first you have to decide like do you want to do brand? Okay.
2:06:21
Then you have to decide what kind of brand do you want to do?
2:06:23
Do you want to be doing you know subway ads?
2:06:27
Do you want to be doing billboards?
2:06:29
Do you want to get into sports marketing?
2:06:30
Then let's say you've said okay I think sports marketing is cool because it has some unique appeal to it and has very broad reach.
2:06:35
Then you got to pick your sport, right?
2:06:37
So you got to look at your demographics and you got to say, you know, am I on the sort of NHL, NBA, sort of like higher mid-inccome?
2:06:44
Am I on sort of like the MLB, you know, NASCAR, which is like mid to lower income potentially.
2:06:51
So you got to kind of find the right demographic.
2:06:52
Uh, and then once you pick a once you pick a sport, then again, there's a variety of things you can do.
2:06:59
You can do a deal directly with NASCAR, in which case we did, and we are the official savings partner of NASCAR.
2:07:05
You can also do deals with particular drivers and you could say, "Hey, I want to do a deal with you, the driver, and I want this car to be wrapped in super.
2:07:13
com pink, which we also did um with Rickware Racing and in Cody Wear."
2:07:19
Um, so there's there's a bunch of things that you can do, but really it's like any other brand marketing/sports partnership.
2:07:26
Uh, and I would say my biggest advice is first pick the right demographic before you get into the specific tactics. >> Yeah.
2:07:33
Well, congratulations on the round.
2:07:35
Thank you so much for taking the time to come chat with us. >> Yeah. Awesome update.
2:07:38
>> Crush amazing progress. We'll talk to you soon. >> Thank you.
2:07:40
Appre I appreciate you having me on again. >> Of course. Have a good one.
2:07:44
>> Let me tell you about Codeex.
2:07:44
Codex is a powerful workspace for getting work done with AI agents.
2:07:47
Whether you're writing code, analyzing data, creating content, or automating business workflows, Codeex helps you move projects forward from start to finish. Did you see this?
2:07:59
I don't even know what you call it. Chrome extension.
2:08:00
It's a Chrome extension that lets you dim or hide all the mass- prodduced fake brands on Amazon. It's called knockoff. com. >> You remember?
2:08:11
You remember I was asking for this a year ago.
2:08:13
I was like, I want to shop on Amazon just from brands that have been over that are over 50 years old, right?
2:08:18
cuz that just squeezes out the w e h m o e the a he I'm not even going to say that y l >> y l l u and mm joyan toy >> go don lift >> gondol that's what it looks like uh there are a flurry of sort of slop brands on Amazon and this uh >> you don't like buying from kandy >> allows you to dim them or even remove them entirely.
2:08:48
Of course, uh a lot of people do their shopping on mobile, so uh you'll need to fire up the desktop in Chrome with the browser, but uh if you're doing some serious shopping, probably makes a lot of sense.
2:09:00
Pete Oxenham says it's beautiful.
2:09:01
He desperat uh this little uh tweaking of your internet experience seems like the good news.
2:09:17
find says Chinese airdroppers deserve to make a living too.
2:09:19
The funny thing is I don't think they're airdroppers.
2:09:21
They're making the actual products.
2:09:24
>> Uh yeah, they're manufacturers. >> Drop shippers. Well, they're Yeah. What is drop shipping?
2:09:29
Drop shipping is where you're using another manufacturer. Yeah.
2:09:33
>> You're not even necessarily even holding >> this straight from the factory for sure. Um >> Yeah.
2:09:37
And I I respect I respect the the hustle.
2:09:41
I just um I find that a lot of these products I end up, you know, not keeping around very long.
2:09:48
>> Yeah, I love this because I imagine if you get a little bit of a community on here, um it will automatically hide or dim or gray out the brands that are suspected to be slop or or junk uh or knockoffs, but uh you can click on an individual brand and say, "Trust this brand.
2:10:08
This was a false positive."
2:10:08
uh you can block this brand or you can dismiss for this particular item, maybe it's fine.
2:10:13
You can report it as a real brand.
2:10:15
Um so they're going to be able to collect all of that information across the user base and then merge that together.
2:10:21
So the system should get smarter over time, I imagine, but uh who knows how long Amazon allows this to go on.
2:10:29
Uh, I imagine that the margins on some of these sloppier brands are potentially better and so there might be a financial incentive to uh prevent this type of uh plugin from running roughshod all over Amazon. com.
2:10:42
But at least for now, you can go and enjoy it and take it for a spin at knockoff. shopping.
2:10:50
Amazon without the knockoffs filters out the trademark squat pseudo brands, the SZHLUX's and horse sudis.
2:10:58
There's some weird brand names.
2:11:01
Very, very weird brand names.
2:11:02
I'm surprised they don't come up with a normal name.
2:11:04
Like, if you're going to be a like a sketchy drop shipper with a knockoff product, it's pretty easy to go to an LLM and say like, >> why not just be the the silverware company of China?
2:11:18
>> Well, that or you know, dog beds.
2:11:18
Here, the examples are Casper and Carheart. Come up another term. >> Buddy, buddy. The buddy. >> Yeah. >> Dog supply company.
2:11:26
There's a bunch of words you could use. I don't know.
2:11:29
Uh it doesn't seem like rocket science and yet it feels like a cat walked across the keyboard with some of these brands.
2:11:35
Um anyway, go give it a try. Tell us what you think.
2:11:40
Uh fortunately, we have our next guest in the waiting room.
2:11:42
Let's bring in John Nay from Norm AI.
2:11:44
Welcome to the show, John. How are you doing? >> Doing well.
2:11:50
Enjoyed that uh brainstorming session you just had on the naming. >> Always.
2:11:55
I mean, I don't come up with anything.
2:11:58
>> Do you ever get very far >> for a dog bed company?
2:12:00
I don't >> Wait, tell us about the name norm.
2:12:05
You just wanted to say, hey, you don't need to worry about this, you know, the general intelligence company of XYZ.
2:12:12
We're just going to give you some normal AI. Is that the idea?
2:12:16
>> Yeah, just straight normal AI.
2:12:16
Um, it stands for norm setting the norms uh for AI. >> There you go.
2:12:23
and also for normative for what should be. >> Sure.
2:12:26
When did you start the company?
2:12:29
>> Uh just under three years ago. >> Okay.
2:12:31
And what were the key inflection points that got you to today? How much did you raise? What's the news? >> Yeah.
2:12:40
So the news is today we raised um 120 million at 1. 2. >> Jordy hit that. >> There you go. $120 million series C.
2:12:53
Coastal Ventures is in valuations 1. 2 billion. Not too shabby.
2:12:56
Um, but what has growth been like?
2:12:59
Who are the key customers?
2:13:00
How are you describing the product to them? >> Yeah.
2:13:03
So, what we've done is we started out selling directly to in-house teams.
2:13:08
So, places like Blackstone, New York Life, mainly large financial institutions. >> Sure.
2:13:13
>> And as we were doing that, we realized the outside council opportunity was huge.
2:13:17
So, they're spending billions of dollars on outside counsel.
2:13:20
dollars on outside counsel. So this is for things like fund formation, transactional work, a lot of different um things they work with like Kirkland Ellis and Simpson Thatcher and other firms like that for and as you're working with them, we realized the
2:13:32
opportunity of taking the legal AI agents that we were building and then having that power a law firm to be able to serve as outside counsel on those billions of dollars of spend that they're working on would be an amazing opportunity for us and then also to be more aligned with the clients that we already had. >> Yeah. So, talk about the key decision to >> Yeah.
2:13:48
So, talk about the key decision to not just supercharge the in-house council with effectively a software product, but instead actually spin up a proper uh partnership, an L. You have an LLP, right? >> So, Norm Law LLP.
2:14:01
Yeah, it's a it's a partnership.
2:14:04
It's a it's a law firm in all the traditional senses except it sits on top of AI agents that are automating a lot of the first pass of the work. >> Yeah.
2:14:13
And so that was a huge inflection point for us because it allows us to power something that can go full stack for the client.
2:14:21
And this is actually sort of related to my past.
2:14:23
So this is my second company.
2:14:25
I was the founder and CEO of another AI company before this.
2:14:29
>> And I just have a proclivity of wanting to just like do the whole thing.
2:14:30
In that case, it was an AI company that was selling AI to other asset managers.
2:14:34
And I built out a subsidiary that registered with this SEC as an investment adviser.
2:14:41
And then we just became an AI powered asset manager ourselves and just did the whole thing.
2:14:45
And that company was acquired by TIA New.
2:14:46
So here similarly we just want to complete the whole task for the client.
2:14:52
So in collaboration with the partners at norm law.
2:14:54
So we have people that were partners at the a lot of the AM law 20.
2:15:00
>> So they join and then they take the outputs from the AI agents and then they provide legal advice directly to their clients like they would have at another top law firm.
2:15:10
But now they do it sitting inside of normal. >> Mhm.
2:15:13
And how how valuable is uh the data inside of the law firms versus inside of companies?
2:15:21
Uh because I imagine that that has to be a source of strength, a source of emote uh and a big reason why venture capitalists continue to back the business. >> Yeah.
2:15:32
So the ability to have this vertical integration of the building of the AI and the other software with the using and deployment of it in that really tight feedback loop to iterate and improve it that's key.
2:15:44
So that vertical integration type model and the data is a big aspect to that.
2:15:49
So, it's both the data from the operation of the firm and what happens day-to-day, but it's also just like the qualitative insights about how would we automate something like this?
2:16:01
Having root access to how it's actually being done and building it side by side where we're here in the World Trade Center and we have AI engineers sitting right next to lawyers doing their job.
2:16:12
That type of feedback loop is invaluable and we're the only people in the world that can do that because of that really tight integration and collaboration.
2:16:21
And so that unlocks our ability to kind of reinvent the whole workflow.
2:16:25
So instead of having a co-pilot tool that you can use and get a little bit more efficient, you can from scratch think about from first principles, how would you redesign that workflow internally inside a firm and then just build that and iterate on it every day together.
2:16:42
law stu law school student comes to you asking for advice >> uh on how to think about their early career, what what do you tell them?
2:16:54
>> Well, I think the general principles of legal reasoning and thinking through things more like theoretically, that's still super valid and useful and that's almost just like philosophical thinking that's applicable in any area of life.
2:17:09
But then in terms of going into specific areas, I think going forward, this notion of what we developed around legal engineering is going to be really important for them to lean into.
2:17:18
So that's using their legal knowledge and legal reasoning, but then applying it using AI.
2:17:25
So turning uh different workflows and different domains of legal expertise into AI agents and then testing them and validating them and deploying them and working super closely with clients around that.
2:17:37
I think that's going to be increasingly what they should focus on. >> Makes a lot of sense.
2:17:44
>> Uh how are you thinking about international expansion?
2:17:45
Is that a is that something you sort of get for free as the model capabilities advance and the frontier advances or is that something that is a very considered decision at some point in the future because it'll be a significant burden to >> you also get it for free because I'm sure some of the clients are already cross work border but >> I'm just wondering like like how how heavy is that decision to uh to expand internationally?
2:18:14
Yeah, I mean with the clients that we have now, places like Blackstone that are super international, uh we get that we get that opportunity, but we don't necessarily build it out because we we need to make sure that we have the legal expertise in those jurisdictions.
2:18:29
>> So when you're actually powering the full stack provision of legal services, that's another layer of complexity of this of of having the people that are going to be able to supervise that and put their name behind that and have that relevant expertise.
2:18:41
So for us it is a big decision about when we go to for example the UK and other areas that are more relevant to us.
2:18:47
Uh we need to do that very deliberately. >> Makes sense.
2:18:50
Well congratulations on the fund raise.
2:18:52
Thank you so much for coming on the show.
2:18:54
The whole team >> have a great rest of your week >> and thanks.
2:18:57
It felt like we were on vacation for a little bit this view.
2:19:00
>> Are you really in the World Trade Center?
2:19:01
You're in New York right now.
2:19:03
>> We're in the World Trade Center.
2:19:03
That's uh New Jersey behind me. >> That's beautiful.
2:19:06
It looks like Miami almost with the plants and stuff.
2:19:07
Uh anyway, enjoy New York. Enjoy the summer.
2:19:13
>> Have a great rest of your day. We'll talk to you soon. Goodbye.
2:19:16
>> Let me tell you about MongoDB.
2:19:16
What's the only thing faster than the AI market?
2:19:19
Your business on MongoDB. Don't just build AI.
2:19:22
Own the data platform that powers it.
2:19:25
>> Uh you got anything for me, John?
2:19:28
>> Well, the main uh other news is that uh this is this is somewhat related to New York and Manhattan.
2:19:33
A Midtown Manhattan skyscraper under construction is reportedly at risk of collapse.
2:19:37
The building was the former Fizer headquarters on East 42nd Street.
2:19:41
It was evacuated Tuesday morning after the FDNY received reports around 8:00 a. m.
2:19:49
Eastern time of bricks falling from the high-rise.
2:19:52
When crews arrived, they found two structural columns inside the building had buckled with floors sagging from the roughly 21st all the way to the 26th floor.
2:20:03
So, there's six floors of sagging.
2:20:06
Uh this video this uh this building seems to be falling apart.
2:20:10
Video from inside the site shows columns visibly bent raising immediate concerns about the stability of the building.
2:20:15
So so far thankfully no injuries have been reported.
2:20:20
Uh let's hope it stays that way and construction workers have been accounted for.
2:20:24
The site was undergoing one of the most ambitious office to residential conversions in New York history.
2:20:30
Metro Loft and David Warner Real Estate were converting the former Fizer complex into roughly 1,500 to,600 uh apartments with plans to renovate the existing 38tory tower and add more than a dozen new stories to part of the property.
2:20:44
Officials have evacuated the construction site and are and nearby buildings as a precaution. Very, very crazy.
2:20:50
City inspectors and engineers are now on site investigating the damage and trying to determine whether the building can be stabilized.
2:20:54
They'll need to go and uh rebuild those columns.
2:20:56
For now, commuters are being told to avoid the area.
2:21:00
So, if you're in New York, stay away from East 42nd Street.
2:21:02
I hope everyone is safe there.
2:21:07
>> Bad day to be doing that conversion. >> Yeah.
2:21:10
Very, very chaotic situation.
2:21:10
Uh anyway, >> it's also imagine trying to sell those apartments after you finish.
2:21:15
It's like, oh yeah, moving into the building that was buckling >> for six >> across six different stories.
2:21:24
>> Yeah, there was a building. Was it in San Francisco? The Millennium Tower. >> Yeah.
2:21:29
TZ says, "Good day to be a demolition company," >> I guess. Yeah.
2:21:31
The uh the Yeah, there was the Millennium Tower that was a very very It was It was a fancy high-rise in San Francisco and the foundation like sunk a little bit and so the whole building was tilted slightly and so if you put a marble on the ground in these like luxurious apartments, it would roll and uh there was a huge huge lawsuits.
2:21:49
I believe that they were able to go do some structural reinforcement and eventually get it back. Just some saggy floors.
2:21:58
>> Just some saggy floors. >> Floors. >> Yeah. Lock in.
2:22:00
Just uh Yeah, maybe it's just a mindset issue.
2:22:04
>> I'm sweating the details. >> Okay.
2:22:05
Uh what do you think of this?
2:22:05
What do you think of this sunlight? Sunday Light.
2:22:10
We've talked about these a few times. Philips launched one.
2:22:11
I believe you're a big fan of these.
2:22:13
I want your take on this one.
2:22:15
This is the Sunday light.
2:22:18
And Paul Backhouse says it's the closest thing to sunlight that you can buy.
2:22:22
He gives it a 10 out of 10. He says, "No regrets. It's absolutely bonkers.
2:22:25
For reference, this is my actual light at 80% brightness in a room with almost zero outside lights.
2:22:30
So, I believe it's a it's a sort of translucent disc.
2:22:35
Some of the light diffuses, but also a bunch of the light is reflecting, bouncing around, creating sort of a a softer feel, softer glow.
2:22:45
Are you a fan of this with like the the light that hangs down?
2:22:47
If you zoom in on the actual light, you will see that there's a there's a little stick and at the end of that stick is a light emmitting diode, an LED that's bouncing off of the disc, the larger disc there.
2:23:00
Um, so a little bit more in your face.
2:23:03
I'd be worried about hitting my head on that in the middle of the room there, but that's worried about hitting your head on, John.
2:23:10
>> But over over the right uh over the right table, maybe it works.
2:23:13
the closest thing you can to sunlight you can buy.
2:23:17
They use titanium nano particles to scatter the light way the the way Earth's atmosphere does.
2:23:22
Actual blue sky on your ceiling.
2:23:24
Uh 34,500 lumens water cooled 95 plus CRI which is a measure of color quality.
2:23:32
Uh just purchased one uh to avoid any doubt reposted but I can't vouch for how yet it works.
2:23:37
But this man is not sponsored but he's just stunned this exists.
2:23:41
Are you going this or going into silence?
2:23:43
Uh I I want to see more experiments like it.
2:23:48
>> Uh would you go for this one or the Phillips the one that uh doesn't have the dangling uh light?
2:23:54
>> I'm not actually a customer of either.
2:23:56
>> Yeah, but >> considering it.
2:23:58
>> But I would be I would be curious to get one of these for the for the studio.
2:24:02
>> You get a couple of these and then a couple of the other lights. Put them headto head. See which one we want.
2:24:07
Anyway, >> uh well folks, >> that's our show. That's our show.
2:24:11
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2:24:11
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