Marc Andreessen — AI, crypto, 1000 Elon Musks, regrets, vulnerabilities, & managerial revolution

0:48

Today, I have the great pleasure of speaking with  Marc Andreessen, which means for the first time on the podcast, the guest’s and the host’s  playback speed will actually match.

0:54

Marc, welcome to The Lunar Society. Good morning.

0:58

And thank you for having me. It's great to be here. My pleasure.

1:02

Have you been tempted anytime in the last 14 years to start a  company?

1:06

Not a16z, but another company? No.

1:11

The short answer is we did.

1:11

We started our  venture firm in 2009 and it's given my partner, Ben and I, a chance to fully exercise our  entrepreneurial ambitions and energies to build this firm.

1:26

We're over 500 people now at  the firm which is small for a tech company, but it's big for a venture capital firm.

1:31

And it has let us get all those urges out.

1:37

But there's no product where you  think — “Oh God, this needs to exist, and I should be the one to make it happen”? I think of this a lot.

1:40

We look at this through the lens of — “What would I do if I were  23 again?

1:44

” And I always have those ideas.

1:49

But starting a company is a real commitment, it  really changes your life.

1:49

My favorite all time quote on being a startup founder is from Sean  Parker, who says —“Starting a company is like chewing glass.

2:03

Eventually, you start to like the  taste of your own blood.

2:03

” I always get this queasy look on the face of people I’m talking to when  I roll that quote out.

2:11

But it is really intense.

2:19

Whenever anybody asks me if they should  start a company, the answer is always no.

2:22

Because it's such a gigantic, emotional,  irrational thing to do.

2:22

The implications of that decision are so profound in terms of how you live  your life.

2:29

Look, there are plenty of great ideas, and plenty of interesting things to do  but the actual process is so difficult.

2:40

It gets romanticized a lot and it's not  romantic.

2:40

It's a very difficult thing to do.

2:45

And I did it multiple times before, so  at least for now, I don't revisit that.

2:51

But being a venture capitalist is not like  that?

2:51

When you're in the 38th pitch of the day, you're not wondering if chewing  glass might not be more comfortable? No, it's different.

2:57

I'll tell you  how I experienced it.

2:57

People are wired to respond to stress in different ways.

3:02

And I think there are people who are wired to be extremely productive and get very happy under  extreme levels of stress.

3:06

I have a different… I'm fine with stress.

3:14

In fact, I incline towards  it and if I don't have any, I seek it out.

3:14

But past a certain level, I don't really enjoy it.

3:19

It  degrades the quality of my life, not improves it.

3:25

Maybe you have an affinity for self torture.

3:25

Look, there's stress in every profession and there's certainly stress in being an investor,  but it's a completely different kind of stress.

3:39

Because when you're a startup founder, it's  all on you.

3:39

Everything that happens is on you, everything that goes wrong is on you.

3:45

When there's  an issue in the company, a crisis in the company, it's on you to fix it.

3:50

You're up at four in  the morning all the time worrying about things.

3:56

With investors, there's just a layer  of buffer.

3:56

We have no end of problems and we help our portfolio companies as  best we can with all kinds of issues, like some crisis inside a company.

4:05

But  it's not my company, not everything is my fault.

4:11

So it’s a more diffused kind of  stress, and honestly easier to deal with.

4:20

Got it, that makes sense.

4:20

Why did you stop  your blog?

4:20

Would you ever start it again? I write intermittently.

4:25

The  original blog was from 2007 to 2009.

4:33

And then we started the firm, and that was like  having a new baby and that soaked up all my time.

4:40

I write intermittently, and then I do social  media intermittently.

4:40

Part of it is — I have a lot to say, and a lot that I'm interested in, but  also I like to experiment with the new formats.

4:55

We do live in a fundamentally different world as  a result of social media, the internet, blogging, Twitter, and all the rest of it.

4:58

So I try  to keep my hand in it and experiment.

4:58

But I rotate both how I spend my time  and rotate what I think makes sense.

5:08

Before AWS, deploying applications was  probably the bottleneck on new software.

5:13

What is the biggest bottleneck today?

5:13

At what  layer of abstraction do we need new tools?

5:18

Literally sitting here today, overwhelmingly  it's the impact AI is having on coding.

5:18

I think there's a real possibility that basically  every application category gets upended in the next five years.

5:31

I think the whole model of how  applications get built across every domain might just completely change.

5:37

In the old model without  AI, you typically have some sort of database, you have some sort of front end for the  database, you had forms, you had these known user interaction models, mobile apps and so forth.

5:48

We  got to a pretty good shared understanding of how humans and machines communicate, in the windowing  era, and then in the mobile era, in the web era.

6:02

AI might just upend all that.

6:02

The future apps  might just be much more of a dialogue between computer and machine.

6:06

Either a written-text  dialogue, or a spoken dialogue or some other form of dialogue.

6:11

And the human is guiding the machine  on what to do, and receiving real time feedback.

6:16

And there's a loop, and then the machine just  does what it does, and it gives you the results.

6:20

I think we're potentially on the front  end of that, that all might change.

6:25

The very fundamental assumptions about  how software gets built might just completely change.

6:31

The tools on that are  at the very front end.

6:31

There's an entirely new stack that needs to get built to do  that.

6:36

So that's probably the big thing.

6:41

Is there a reason though that AI is not  one of your focus areas?

6:41

As far as I know, you guys don't have an AI fund dedicated  to that technology specifically?

6:49

Basically we look at it all as software.

6:49

We look  at it like it is the core business.

6:49

Software is the core of the firm, we've been public  on that for a long time.

6:54

The core venture fund is the core software fund.

7:00

And then AI  basically is the next turn on software.

7:00

And so I view it as the opposite of what you said,  it is the most integral thing that we're doing.

7:11

The separate funds get created for the  new areas that are structurally different in terms of how industries work.

7:17

AI is  basically the future of software.

7:17

And so it's the future of the core of the firm. Got it.

7:24

Now, let's talk a little about your past.

7:29

So you sold Netscape for $10  billion.

7:29

But today, Chrome has what, like 2.

7:34

7 billion users or something.

7:34

And  then Opsware was sold for like $1. 7 billion.

7:39

AWS is gonna probably make close to $100 billion  in revenue yearly.

7:39

In retrospect, do you think if these companies had remained startups, they would  have ended up dominating these large markets?

7:50

So I spend virtually no time on the past.

7:50

The one  thing I know about the past is I can't change it.

7:57

So I spend virtually no time revisiting old  decisions.

7:57

People I know who spend a lot of time revisiting old decisions are less effective  because they mire themselves in what ifs and counterfactuals.

8:08

So I really don't spend time  on it.

8:08

I really don't even have theories on it.

8:15

The big thing I would just say is that  reality plays out in really complicated ways.

8:20

Everything on paper is straightforward.

8:20

Reality  is very complicated and messy.

8:20

The technical way that I think about it is basically every startup  is charting a path dependent course through a complex adaptive system.

8:30

And because of that, if  you’ve read about this, people had this obsession a while back with what's called Chaos Theory.

8:39

It's sort of this thing where we're used to thinking about systems as if they're  deterministic.

8:43

So you start at point A, you end up at point B, and you can do that over and  over again.

8:47

You know what happens when you drop an apple out of a tree, or whatever.

8:51

In the real  world of humans and 8 billion people interacting, and trying to start companies that intersect  in these markets and do all these complicated things and have all these employees, there's  random elements all over the place.

9:01

There's path dependence as a consequence.

9:06

You run the  same scenario, start with point A, one time you end up point B, one time you end up point Z.

9:10

There's a million reasons why the branches fork.

9:23

This is my advice to every founder  who wants to revisit all decisions.

9:27

It's not a useful and productive thing to  do.

9:27

The world is too complicated and messy.

9:31

So you take whatever skills you think  you have and you just do something new. Make sense.

9:36

Are venture capitalists part of  the managerial elite?

9:36

Burnham says that “the rise of the finance capitalist is the decisive  phase in the managerial revolution.

9:41

” What would he think about venture capitalists?

9:46

I actually think about this a lot.

9:52

And I know you said everybody can Google it, but  I'll just provide this just so this makes sense.

9:58

James Burnham famously said — there's basically  two kinds of capitalism and we call them both capitalism, but they're actually very different  in how they operate.

10:02

There's the old model of capitalism, which is bourgeois capitalism and  bourgeois capitalism was the classic model where the owner of the business was a person who, by  the way, often put their name on the door.

10:10

Ford Motor Company, right?

10:15

Andreessen Horowitz Andreessen Horowitz, right.

10:22

And then that person  owned the business, often 100% of the business, and then that person ran the business.

10:26

These  are the people that communists hated.

10:26

This is the bourgeois capitalist — Company owner,  builder, CEO, as one person with a direct link between ownership and control.

10:41

The person who owns it controls it, the person who controls it runs it. It's just  a thing.

10:45

There's a proprietor of the business. So that's the old model.

10:49

And then what he said  basically, as of the middle of the 20th century, most of the economy was transitioning, and  I think that transition has happened and is basically now complete.

10:59

Most of the economy  transitions to a different mode of operating, a different kind of capitalism called managerial  capitalism.

11:04

In managerial capitalism, you have a separation of ownership and management.

11:09

Think of a  public company, you have one set of owners who are dispersed shareholders, and there's like a million  of them for a big company, and who knows where they are, and they're not paying any attention  to the company, and they have no ability to run the company.

11:21

And then you've got a professional  managerial class, and they step in and they run the company.

11:27

What he said is — as a consequence  of that the managers end up in control.

11:27

Even though the managers don't own the company.

11:31

In a  lot of public companies, the managers might own like 1% of the company, but they end up in total  control, and then they can do whatever they want.

11:42

And he actually said — Look, it doesn't even  matter if you think this is good or bad, it's just inevitable.

11:45

And it's inevitable because of  scale and complexity.

11:45

And so the modern industrial and post industrial organizations are going to end  up being so big and so complex and so technical, that you're going to need this professional  managerial class to run them.

11:55

And it's just an inevitability that this is how it's gonna go.

11:58

So  I really think this is exactly what's played out.

12:04

A consequence of that, that I think is pretty  obvious, is that managerial capitalism has a big advantage that Burnham identified, which is  that the managers are often very good at running things at scale.

12:13

And we have these giant  industries and sectors of the economy and health care and education, all these things  that are running at giant levels of scale, which was new in the 20th century.

12:22

But there's sort of a consequence of that, which is managers don't build new things.

12:28

They're not  trained to do it, they don't have the background to do it, they don't have the personality to do  it, they don't have the temperament to do it, and they don't have the incentives to do it.

12:36

Because  the number one job, if you're a manager, is not to upset the applecart.

12:40

You want to stay in that job  for as long as possible, you want to get paid your annual comp for as long as possible, and you don't  want to do anything that would introduce risk.

12:49

And so managers can't and won't build new things.

12:49

And so specifically, to your question, the role of startups, the role of entrepreneurial capitalism,  is to basically bring back the old bourgeois capitalist model enough.

13:03

It's a rump effort,  because it's not most of the economy today, but bring back the older model of bourgeois  capitalism, or what we call entrepreneurial capitalism, bring it back enough to at  least be able to build the new things.

13:17

So basically what we do is we fund the new  bourgeois capitalists, who we call tech founders.

13:23

And then there's two layers of finance that enable  bourgeois capitalism to at least resurface a little bit within this managerial system.

13:30

Venture  capital does that at the point of inception, and then private equity does that at a point  when a company needs to actually transform.

13:38

I view it as — we're an enabling agent  for at least enough of a resumption of bourgeois capitalism to be able to get new  things built, even if most of the companies that we built ultimately themselves end  up being run in the managerial model.

13:46

And Burnham would say that's just the way of the  modern world, that's just how it's gonna work.

13:54

But you guys get preferred shares and board seats,  and rightfully so, but wouldn't Burnham look at this and say — “You're not the owners and you do  have some amount of control over your companies.

13:59

” I think he would say that we're a hybrid, we're  a managerial entity that is in the business of catalyzing and supporting bourgeois capitalist  companies.

14:10

He would clearly identify the startups that we fund.

14:17

He would be like, “Oh yeah, that's  the old model.

14:17

That's the old model of Thomas Edison, or Henry Ford, or one of these guys.

14:21

” You  can just draw a straight line from Thomas Edison, Henry Ford to Steve Jobs, Larry Page, and Mark  Zuckerberg.

14:26

That's that model, it's a founder, it’s a CEO, at least when they started out  owning 100%.

14:32

They do have to raise money most of the time, but they're throwbacks.

14:37

The modern  tech founders are a throwback to this older model of bourgeois capitalism.

14:43

So you're right in that  he would view us as a managerial entity, but he would view us as a managerial entity that is in  the business of causing new bourgeois capitalist institutions to at least be created.

14:53

And I think  he would credit us with that.

14:53

And then he would also say — however, our fate is that most of the  companies that we fund and most of the founders that we back end up over time, handing off  control of their companies to a managerial class.

15:10

When the companies we fund get to scale, they  tend to get pulled into the managerial orbits, they tend to get pulled into the managerial  matrix, which by the way, is when they stop being able to build new things, which is what causes the  smart and aggressive people at those companies to leave and then come back to us and raise money  and start a new bourgeois capitalist company.

15:34

I view it as — the economy is like 99% managerial,  and if we can just keep the 1% of the old model alive, we'll keep getting new things.

15:39

By the  way if venture capital ever gets snuffed, it's outlawed or whatever, it just fails and  there is no more venture capital, there's no more tech startups or whatever then at that point  the economy is going to be 100% managerial.

15:50

And at that point, there will be no innovation forever.

15:55

People might think they want that.

15:55

I don't think they actually want that.

15:59

I don't  think we want to live in that world.

16:03

Will this trend towards managerialism also  happen to a16z as it scales? Or will it be immune?

16:08

What happens to a16z in five decades?

16:08

At a certain point this becomes the succession problem.

16:14

As long as Ben and I are running  it our determination is to keep it as much in the bourgeois model as possible.

16:19

And as  you pointed out, literally it’s our names on the door.

16:22

Ben and I control the firm.

16:22

The  firm doesn't have a board of directors, it's just Ben and me running it.

16:29

It's a  private entity there’s no outside shareholders.

16:35

And so as long as Ben and I are running  it, and we're running it in the way that we're running it, it will be as bourgeois  model as any investment firm could be.

16:46

Some day there's the succession challenge,  and I bring that up, because the succession challenge for tech companies is usually  sort of when that transformation happens.

17:00

When it goes from being in the bourgeois  model to being in the managerial model.

17:04

And then this gets to sort of the philosophy of  succession in tech companies.

17:04

And the general thing that happens there is that, you see this  over and over again with the great founder CEOs, when it comes time to hand it off, there's  basically two kinds of people that they can hand it off to.

17:16

They can hand it off  to somebody like them who's a mercurial, idiosyncratic, high disagreeableness, ornery,  sort of entrepreneurial kind of personality, somebody in their mold.

17:31

Or they can hand it off  to somebody who knows how to run things at scale.

17:35

Almost always, what they do is they hand it  off to somebody who can run it at scale.

17:35

The reason they do that is, there’s actually two  reasons.

17:39

There's the theoretical reason they do that which is — it is at scale at that  point, and somebody does need to run it at scale.

17:47

And then the other is, they often have what  I call the long suffering number two.

17:47

You've had this high octane founder CEO who breaks a lot of  glass and then there's often the number two, like the chief operating officer or something who's the  person who fundamentally keeps the trains running on time, and keeps everybody from quitting.

18:05

And that long suffering number two has often been in that job for 10 or 15 years at that  point, and is literally the longest suffering.

18:13

They've always been the underling, and then it's  like — Okay they now “deserve” the chance to run the company themselves. And that's the handover.

18:17

Now, those founders often end up regretting that decision.

18:21

And in later years, they will tell you  — Boy, I wish I had handed it off to this other person who was maybe deeper in the organization  who was maybe younger, who was more like I am, and maybe would have built more products and maybe  that was a mistake.

18:29

But the fact that they do this over and over again, to me illustrates why the  Burnham theory is correct, which is — large, complex organizations ultimately do end up  getting run by managers in almost all cases.

18:47

The only optimistic view on that is that  it's the transition from these companies being in the bourgeois capitalist model to the  managerial model that creates the opportunity for the new generation of startups.

18:56

Because then  the counterfactual, if these companies remained bourgeois capitalist companies for 100 years, then  they would be the companies to create all the new products, and then we wouldn't necessarily need to  exist because those companies would just do what startups do.

19:10

They just build all the new stuff.

19:10

But because in that model, they won't do that and they don't do that, almost without exception.

19:16

Therefore there's always the opportunity for the next new startup. And I think that's good.

19:20

That  keeps the economy vital, even in the face of this overwhelming trend towards managerialism.

19:27

If you had a fund with a 100 year lock-in what would you be able to invest in  that you can’t invest in right now?

19:40

The base lockup for venture is like 10 years,  and then we have the ability to push that out, we can kind of push that to 15.

19:44

And for really  high quality companies, we can push that to 20.

19:51

We haven't been in business long enough to  try to push it beyond that. So, we'll see.

19:57

If you could push it to 100 years, the question  is — is it really time that's the bottleneck?

19:57

The implication of the question would be — are there  more ambitious projects that would take longer, that you would fund that you're not funding  because the time frames are too short.

20:09

And the problem with a 100 year timeframe, or even a  50 year time frame, or even a 20 year timeframe is that new things don't tend to go through a  20 year incubation phase in business and then come out the other end and be good.

20:24

What  seems to happen is they need milestones, they need points of contact with reality.

20:30

Every once in a while there will be a company, a very special company will get funded with a  founder who's like — look, I'm gonna do the long term thing, and then they go into a tunnel for 10  or 15 years where they're building something and the theory is they're going to come out the other  side.

20:43

These have existed and these do get funded.

20:48

Generally they never come up with anything.

20:48

They  end up in their own Private Idaho, they end up in their own internal worlds, they don't have contact  with reality, they're not ever in the market, they're not working with customers.

20:59

They just  start to become bubbles of their own reality.

21:11

Contact with the real world is difficult every  single time.

21:11

The real world is a pain in the butt.

21:16

And mark to market your views of what you're doing  with the reality of what anybody's actually going to want to pay for, requires you to go expose  yourself to that.

21:23

It's really hard to do that in the abstract, or to build a product that  anybody's going to want to use.

21:27

And so this thing where people go in a tunnel for 10, or  15, or 20 years, it doesn't go well.

21:32

I think 100 years would be an even more degenerate version  of that.

21:36

Best case is this unbounded research lab that maybe would write papers and something maybe  comes out the other end of the far future in the form of some open source thing or something, but  they're not going to build an enterprise that way.

21:54

And so I think having some level of contact  with reality over the course of the first five to seven years is pretty important.

21:59

The other way to get to the underlying question would be — what if you just had more zeros on  the amount of money?

22:07

What if instead of funding companies for $20 million, you could fund them  for $2 billion, or $20 billion?

22:12

In other words, maybe they would operate on the timeframe of  today's companies, on a five or 10 year timeframe, but you can fund them with 20 billion of  venture financing, instead of $20 million.

22:26

I think that's a more interesting question.

22:26

It's  possible that there are pretty big fundamental things that could be built with larger amounts of  money in this kind of entrepreneurial model.

22:33

Every once in a while you do see these giants.

22:40

Tesla  and SpaceX are two obvious examples of these world changing things that just took a lot of money and  then had a really big impact.

22:46

So maybe there's something there, and maybe that's something that  the venture ecosystem should experiment with in the years ahead.

22:55

I would be more focused  on that as opposed to elongating the time.

23:01

But what about basic research?

23:01

You've  spoken about the dysfunctions of the academic-government-research complex.

23:07

But within the next internet, the next thing that the Andreessen firm 10 years from  now is building on top of, if the government effort is broken maybe you need to bootstrap  something yourself.

23:17

Have you considered that?

23:22

The strong version of this argument  is from a guy named Bill Janeway, a legendary VC.

23:27

Janeway is a great, wonderful  guy.

23:27

If people haven't heard of him, he is a PhD in economics.

23:31

I think he’s a  student of a student of John Maynard Keynes.

23:40

He comes from a high pedigree in economic  theory background.

23:40

And himself was a legendary venture capitalist in his career.

23:44

He became a  hands-on investor at the firm Warburg Pincus and funded some really interesting companies.

23:48

And so he's one of these rare people who's both theoretical and practical on this  kind of question.

23:52

He wrote this book, which I really recommend, it's called Doing  Capitalism where he goes through this question.

24:05

The argument that he makes, along the lines  of what you're saying, it’s a little bit of a pessimistic argument.

24:12

The argument he makes  is — if you look at the entire history of professional venture capital, which is now a 60  year journey, basically, or maybe even 50 years, from the late 60s, early 70s, in kind of modern  form.

24:23

He said the big category that's worked is computing or computer science.

24:30

And then he said,  the second category that's worked is biotech.

24:37

And then he said, at least at the time  of writing, everything else didn't work.

24:41

And all the money that people poured into  cleantech and da-da-da, all these other areas the venture capitalists tried to fund,  they just didn't work from a return standpoint.

24:52

You just burned the  capital.

24:52

When he wrote the book, he ran the numbers and computer sciences work  twice as well as biotech or something like that.

25:04

And then what he said is this is a direct result  of federal research funding over the previous 50 years.

25:09

Computer science based venture capital  was able to productize 50 prior years of basic research in computer science, information science,  information theory, communications theory, algorithms, all the stuff that was done in  engineering schools from 1940 through like 1990.

25:32

And so he said — we are productizing that, that's  been the big thing.

25:32

In Biotech we are productizing the work that NIH and others put into basic  research in the biological sciences and that was about half as much money, and maybe half  as much time.

25:47

That work really started kicking in in the 60s and 70s, a little bit later.

25:53

And then he said — Look, the problem is there aren't other sectors that have had these huge  investments in basic research.

25:58

There's just not this huge backlog of basic research into climate  science or take your pick of online content, or whatever the other sectors are  where people burn a lot of money.

26:15

And so he says, if you want to predict the future  venture capital, you basically just look at where the previous 50 years of basic research, R&D has  happened, federal research funding has happened.

26:25

He has a strong form of it, there's  no shortcuts on this.

26:25

And so if you're trying to do venture capital in a sector  that doesn't have this big kind of install base of basic research has already happened,  you're basically just tilting at windmills.

26:39

I think there's a lot to his argument.

26:39

I'm a  little more optimistic about a broader spread of categories.

26:43

A big reason I'm more optimistic about  a broader set of categories is because computer science in particular, now applies across more  categories.

26:48

This was sort of the underlying point of the software eats the world thesis, which is  that computers used to be just an industry where people made and sold computers.

27:00

But now you can  apply computer science into many other markets, financial services, and healthcare, and many,  many others, where it can be a disruptive force.

27:10

And so I think there's a payoff to computer  science and software for sure, that can apply in these sectors.

27:15

Maybe some of the biological  sciences can be stretched into other sectors.

27:21

There's a lot of smart people in the world,  there's niche research efforts all over the place in many fields that are doing interesting  work.

27:25

Maybe you don't get a giant industry out the other end in some new sector, but maybe  you get some very special companies.

27:30

SpaceX is a massive advance in aeronautics, it  took advantage of a lot of aeronautics R&D.

27:41

It’s not like there's some huge aeronautics  venture industry.

27:41

But there is a big winner, at least one, and I think more to come.

27:46

And so  I'm a little bit more optimistic and open minded.

27:52

Bill would probably say that I'm naive.

27:52

You mentioned earlier about being able to potentially write 9 or 10 figure checks  to companies like SpaceX or Tesla, who might require the capital to do something  grand.

28:01

Last I checked, you guys have $35 billion or something under management.

28:05

Do we need  to add a few more zeros to that as well?

28:09

Will a16z’s assets under management just keep  growing?

28:09

Or will you cap it at some point.

28:15

We cap it as best we can.

28:15

We basically cap it  to the opportunity set.

28:15

And it may be obvious, but it's not a single chunk of money.

28:25

It's broken into various strategies, and we apply different strategies to different  sectors at different stages. So it's decomposed.

28:32

And we have six primary investment  groups internally in different stages, and so that money's broken out in different ways.

28:35

We cap it as best we can to the opportunity set.

28:42

We always tell LPs the same thing, which is  we're not trying to grow assets under management, that's not a goal.

28:47

To the best of our ability,  we're trying to maintain whatever return level we're maintaining.

28:51

We are trying to eat  market share, we'd like to eat as much market share as possible.

28:55

And then we would like  to fully exploit the available opportunities, we'd like to fund all the really good founders,  we'd like to back all the interesting new spaces.

29:05

But what we wouldn't want to do  is double assets under management in return for 5% lower returns or something  like that.

29:08

That would be a bad trade for us.

29:14

So to put another zero on that, as I said,  we would need a theory on a different kind of venture capital model, which would be  trying to back much larger scale projects.

29:27

And again, there's a really big argument you  could make that that’s precisely what firms like ours should be doing.

29:31

There are these really big  problems in the world and maybe we just need to be much more aggressive about how we go at it.

29:34

And we need founders who are more aggressive, and then we need to back them with more money.

29:39

You can also argue either that wouldn't work, or we don't need it.

29:44

The counter argument on  the Tesla and SpaceX examples that I gave is that they didn't need it, right?

29:48

They raised money  the old fashioned way.

29:48

They raised money round by round in the existing venture ecosystem.

29:54

And so  for whatever limitations you think the existing ecosystem has, and maybe it's not ambitious  enough or whatever, it did fund Tesla and SpaceX. And so maybe it works.

30:05

So the underlying  question underneath all this is not the money part.

30:12

The underlying question is how many  great entrepreneurs are there?

30:12

And then how many really big ideas are there for those entrepreneurs  to go after?

30:16

And then that goes one level deeper, which is — What makes a great entrepreneur? Are  they born? Are they trained? What made Elon, Elon?

30:29

What would you need to do to get ten more Elons?

30:29

What would you need to do to get 100 more Elons?

30:33

What would you need to do to make 1000 more Elons?

30:33

Are they already out there and we just haven't found them yet?

30:37

Could we grow them in tanks?

30:37

Or just add testosterone to the water supply?

30:46

Yeah or do we need a different kind of training program?

30:52

Does  there need to be a new kind of entrepreneurial university that trains entrepreneurs?

30:53

It's  just a totally different thing.

30:53

Those are the underlying questions.

30:58

I think if you show  me ten more Elons, I'll figure out how to fund their companies.

31:02

We work with a lot of great  founders and we also work with Elon and he's still special.

31:09

He's still highly unusual even  relative to the other great entrepreneurs. Yeah.

31:18

Let's talk about crypto for a second.

31:18

When you're investing in crypto projects, how do you distinguish between cases where  there is some real new good or service that new technology is enabling and cases  where it's just speculation of some kind?

31:33

What we definitely don't do is the speculation  side, we just don't do that.

31:33

And I mean that very specifically, we're not running a hedge  fund.

31:37

What we do is we apply the classic venture capital 101 playbook to crypto.

31:43

And we do that  the exact same way that we do with every other venture sector that we invest in, which is to say  we're trying to back new ventures.

31:47

In crypto that venture might be a new company, or it might be  a new network, or it might be a hybrid of the two and we're completely agnostic as to which way  that goes.

31:58

When we write our crypto term sheets, even when we're backing a crypto C Corp, we always  write in the term sheet that they can flip it into being a tokenized network anytime they want to.

32:08

We  don't distinguish between companies and networks.

32:15

But we approach it with a Venture Capital  101 playbook, which is — we're looking for really sharp founders who have a vision and the  determination to go after it.

32:20

Where there's some reason to believe that there's some sort of deep  level of technological economic change happening, which is what you need for a new startup to wedge  into a market.

32:30

And that there's a reason for it to exist, that there's a market for what they're  building and they're gonna build a product, and there's gonna be an intersection between  product and market, and there's gonna be a way to make money and you know, the core playbook.

32:42

We go into every crypto investment with the same timeframe as we go into venture investing.

32:49

So we  go in with at least a five to 10 year timeframe, if not a 15 to 20 year timeframe.

32:52

That's what  we do, the reason that's not necessarily the norm in crypto is an artifact of the fact that —  especially anything with crypto tokens, there is this thing where they tend to publicly float a lot  sooner than startup equity floats.

33:05

Let's say we're backing a new crypto network, it goes ahead and  floats a token as sort of one of the first steps of what it does.

33:15

It has a liquid thing years in  advance of when a corresponding normal C Corp would.

33:22

There’s one thing in behavioral economics  where when something has a daily price signal and where you can trade it, people tend to obsess on  the daily price signal and they tend to trade it too much.

33:30

There's all this literature on this that  kind of shows how this happens.

33:30

It's part of the human experience, we can't help ourselves, it's  like moths to a flame.

33:35

If I can trade the stock every day, I trade the stock every day.

33:39

Almost every investor in almost every asset class trades too often in  a way that damages their returns.

33:48

And then as a consequence of that, what's happened  is a lot of the investment firms that invest in crypto startups are actually hedge funds.

33:52

They're structured as hedge funds, they have trading desks, they trade frequently, they have  the equivalent of what's called a public book in hedge fund land.

34:03

They've got these crypto assets  they're trading frequently, and then they'll back a startup and then they'll trade that startup's  token just like they trade Bitcoin or Ethereum.

34:11

But in our view that's the wrong way.

34:11

And by the  way there's an incentive issue, which is they pay themselves on a hedge fund model, they pay  themselves annually.

34:16

So they're paying themselves annually based on the market for projects that  might still be years away from realization of ultimate underlying value.

34:25

And then there's this  big issue of misalignment between them and their LPs.

34:30

And so that's all led to this thing where  the tokens for these crypto projects are traded too aggressively.

34:37

In our model they just shouldn't  be, they're just not ready for that yet.

34:37

And so we anchor hard on the venture capital model, we  treat these investments the exact same way as if we're investing in venture capital equity, we  basically buy and hold for as long as we can.

34:52

And have a real focus on the underlying intrinsic  value of the product and technology that's being developed.

34:59

If by speculation you mean daily  trading and trying to look at prices and charts and all that stuff, we don’t do that.

35:07

Or separately, another category would be things that are basically the equivalent  of baseball cards, where there's no real good or service that's being created.

35:16

It is  something that you think might be valuable in the future but not because the GDP has gone up. Oh.

35:21

Baseball cards are a totally valid good and service. That's a misnomer.

35:26

I would entirely  disagree with the premise of that question.

35:33

But are they gonna raise  median incomes even slightly?

35:38

Yeah, there are people who make  their living on baseball cards.

35:42

Look, art has been a part of the economy  for thousands of years.

35:42

Art is one of the original things that people bought and sold.

35:49

Art is fundamental to any economy.

35:49

Would you really want to be part of an economy where they  didn't value art?

35:56

That would be depressing.

36:02

Yeah but there's the question of — Do they  value art versus are they speculating on art?

36:06

And then how much of the effort is being spent on  speculating on the art versus creating the art?

36:11

Well, this gets into this old kind of cultural  taboo.

36:11

This depends on what you mean by speculation.

36:17

If what you mean by speculation is  obsessing on daily price signals and buying and selling and turning a portfolio, like being a day  trader kind of speculation.

36:23

That's what I think of speculation.

36:29

Let's say that's the bad form  of speculation, that's the non productive form.

36:34

If by speculation, on the other hand, you mean  — look, there are different kinds of things in the world that have different possible future  values.

36:40

And people are trying to estimate those future values, and people are trying to figure  out utility, and they're trying to figure out aesthetic value.

36:47

Look at how the traditional  art market works, is somebody supporting a new contemporary artist speculating or not?

36:53

Yes, maybe  from one lens they are.

36:53

Maybe they're buying and selling paintings, and maybe they buy in and if  it doesn't start going up in price, they flip it and buy something else.

37:03

But also, maybe they're  supporting a new young artist.

37:03

And maybe they build a speculative portfolio of new young artists  and as a consequence those artists can get paid, and they can afford to be full time artists.

37:16

And then it turns out they're the next Picasso.

37:21

And so I think that kind of speculation is good  and healthy.

37:21

And it's core to everything.

37:21

I'd also say this — I don't know that there's  actually a dividing line between that form of speculation, and speculation on what people  call investments.

37:32

Because even when people make investments, even just the institutional bond  market.

37:36

Look at US government debt, people are today in the bond market trying to figure out  what that's worth.

37:43

Because is the debt ceiling gonna get raised?

37:47

Even that's up for grabs.

37:47

To  me, that’s not speculation in the bad sense, that's a market working properly.

37:55

People  are trying to estimate.

37:55

Ben Graham said “financial markets are both a voting machine  and a weighing machine.

38:00

And in the short term, they tend to be a voting machine in the long  run, they tend to be a weighing machine.

38:03

” What's the difference between a voting machine  and a weighing machine?

38:06

I don't know, some people would say they're very different.

38:10

Maybe it's  actually the same thing. Why did prices go up?

38:14

Because there are more buyers and sellers.

38:14

Why  do the prices go down?

38:14

There were more sellers than buyers.

38:17

The way markets work is you get  individuals trying to make these estimations and then you get the collective effect.

38:23

There's  this dirty interpretation of any kind of trading or any kind of people trying to do the voting  and weighing process.

38:29

I just think it's this historical, ancient taboo against money.

38:35

It's like  in the Bible, Jesus kicking the money changers out of the temple.

38:40

It's this old taboo against  charging interest on debt.

38:40

Different religions and cultures tend to have some underlying unease with  the concept of money, the concept of trade, the concept of interest.

38:54

And I just think it's like  superstition, it's like resentment, it's fear of the unknown.

39:00

But those things are the things that  make economies work. And so I'm all in favor.

39:07

I don't mean to get hung up on this — but if you  think of something like the stock market or the bond market, fundamentally you can tell a story  there.

39:10

Where the reason what these stockbrokers or these hedge fund managers are doing is valuable,  they're basically deciding where capital should go?

39:20

Should we build a factory in Milwaukee?

39:20

Should we build it in Toronto?

39:20

Fundamentally, where should capital go?

39:24

Whereas what is  the story there?

39:24

What is the NFT helping allocate the capital towards?

39:29

Why does it  matter if the price is efficient there? Because it's art.

39:33

NFT is a very general concept.

39:33

NFT is basically just a form of digital ownership.

39:42

There will be many kinds of NFTs in the future,  many of them, for example, will represent claims on real underlying property.

39:45

I think a lot of  real assets are gonna be wrapped in NFTs.

39:45

And so NFTs are a very broad technological mechanism.

39:49

But let's specifically take the form of NFT that everybody likes to criticize, which is NFT as  a creative project or an image or a character in a fictional universe or something like  that, the part that people like to beat on.

40:06

And I'm just saying — they're just art.

40:06

That's  just digital art, right?

40:06

And so every criticism people make of that is the same criticism you  would make of buying and selling paintings, it would be the same buying and selling  photographs, of buying and selling sculpture.

40:21

I always like to really push this, what's the Mona  Lisa worth?

40:21

I don't want to spoil the movie.

40:21

But the new Knives Out movie, let's just say the Mona  Lisa plays a role in the movie.

40:27

What's the Mona Lisa worth?

40:32

One way of looking at the Mona Lisa  is that it's worth the cost of producing it.

40:32

It's worth the canvas and the paint.

40:39

And you could  create a completely identical reproduction of the Mona Lisa with like 25 bucks of canvas and  paint.

40:44

So the Mona Lisa is worth 25 bucks.

40:44

Or you could say the Mona Lisa is a cultural artifact  and as a cultural artifact that's worth probably a billion dollars or $10 billion.

40:54

Specifically on  your question, what explains the spread between $25 and the $10 billion that it would go out if  it ever hit the market.

41:01

It’s because people care.

41:08

Because it's art, because it's aesthetic, because  it's cultural.

41:08

Because it's part of what we've decided is the cultural heritage of humanity.

41:13

The  thing that makes life worth living is that it's not just about subsistence, that we are gonna have  higher values and we're gonna value aesthetics.

41:22

Do you see a difference between the funding  the flying cars and the SpaceXs and Teslas versus something that improves the aesthetic  heritage of humanity?

41:28

But does one of them seem like a different category than the  other to you?

41:33

Or is that all included in the venture stuff you're interested in?

41:37

It's a little bit like saying — should we fund Thomas Edison or Beethoven?

41:41

If push comes to shove  and we can only fund one of them, we probably should fund Edison and not Beethoven.

41:46

Indoor  lighting is probably more important than music.

41:51

But I don't want to live without Beethoven.

41:51

I think this is a very important point.

41:51

People have lots and lots of views on human existence.

42:04

There's lots and lots of people trying to figure out the point of human existence, religions and  philosophies and so forth.

42:07

But kind of what they all have in common, other than maybe Marxism, what  they all have in common is — we're not just here to get up in the morning, work in a factory all  day, go home at night, be depressed and sad, go to bed.

42:21

We're not just material, right?

42:21

Whatever this  is all about, it's not just about materiality.

42:28

There are higher aspirations and higher goals.

42:28

And we create art, we create literature, we create paintings, we create sculptures, we  create aesthetics, we create fashion, right, we create music, we create all of these things. And fiction. Why does fiction exist?

42:36

Why is a fake story worth anything?

42:43

Because it enhances  your life to get wrapped up in a fake story.

42:43

It makes your life better that these things  exist.

42:49

Imagine living in a world where there's no fiction, because everybody's like  — “Oh, fiction is not useful. It's not real. ” No, it's great.

42:59

I want to live in a world where  there's fiction.

42:59

I like nothing more at the end of the day than having a couple hours to  be able to get outside of my own head and watch a really good movie.

43:06

And I don't want  to live in a world where that doesn't happen.

43:09

As a consequence, funding movies as another  example of what you're talking about, is a thing that really makes the world better.

43:12

And here's the other thing.

43:12

The world we live in actually is the opposite of the world you're  alluding to.

43:19

The world we live in is not a world in which we have to choose between funding flying  cars and funding NFTs or like in my example, funding Edison versus funding Beethoven.

43:28

The  world we live in is actually the opposite of that, where we have a massive oversupply of  capital and not nearly enough things to fund.

43:38

The nature of the modern economy is we have what  Ben Bernanke called the global savings glut.

43:38

We've just got this massive oversupply of capital  that was generated by the last few 100 years of economic activity, and there's only one Elon.

43:46

There's just this massive supply demand imbalance between the amount of capital that needs to  generate a return and the actual number of viable investable projects and great entrepreneurs  to actually create those projects.

43:58

We certainly don’t have enough flying car startups, we also  don't have enough art startups.

44:06

We need more of all of this.

44:10

I don't think there's a  trade off, we need more of all of it.

44:15

Have we reached the end of history when it comes  to how venture capital works?

44:15

For decades you get equity in these early stage companies, you  invest more rounds, it's a 2-20 structure.

44:25

Is that what venture is going to look like  in 50 years, or what's going to change?

44:30

I think the details will change, and the  details have changed a lot, and the details will change a lot.

44:34

If you go back to the late  60s, early 70s, the details were different then and the details were different 20 years ago.

44:39

By  the way, they're changing again right now in a bunch of ways, and so the details will change.

44:43

Having said that, there’s a core activity that seems very fundamental.

44:54

And the term I use  I borrowed from Tyler Cowen who has talked about this, he calls it Project Picking.

45:00

When  you're doing new things, new tech startups, making new movies, publishing new books, creating  new art, when you're doing something new.

45:07

There's this pattern that just repeats over and  over again.

45:15

If you look back in history, it's basically been the pattern for hundreds or  1000s of years, and it seems like it's still the pattern.

45:22

Which is, you're going to do something  new, it's going to be very risky, it's going to be a very complex undertaking, it's going to  be some very complicated effort that's going to involve a path dependent kind of journey through  a complex adaptive system, reality is going to be very fuzzy and messy.

45:36

And you're going to have  a very idiosyncratic set of people who start and run that project.

45:43

They're going to be highly  disagreeable, ornery people because that's the kind of people who do new things.

45:49

They're going  to need to build something bigger than themselves, they're going to need to assemble a team and  a whole effort.

45:53

They're going to run into all kinds of problems and issues along the way.

45:57

Every time you see that pattern there's this role, where there's somebody in the background  who's like — Okay, this one, not that one.

46:09

This founder, not that founder.

46:09

This expedition,  not that expedition.

46:09

This movie, not that movie.

46:15

And those people play a judgment and taste role,  they play an endorsement, branding and marketing role.

46:21

And then they often play a financing role.

46:21

And they often are very hands-on, and they try to contribute to the success of the project.

46:27

A historical example of this I always use is that the current model of venture capital is actually  very similar to how whaling expeditions got funded 400 years ago.

46:36

To the point that the term that we  actually have, which is carried interest or carry, which is the profit sharing that the VCs get  on a successful startup, that term actually goes back to the whaling industry 400 years ago,  where the financiers of whaling journeys — like literally out of Moby Dick, to go hunt a  whale and bring its carcass back to land.

47:00

The carry was literally the percentage of the  carried amount of whale that the investor’s got.

47:04

It was called carry because it was literally the  amount of whale that the ship could carry back.

47:09

And so if you go back to how the whaling journeys  off, like the coast of Maine and the 1600s, were funded, there were a group of what  we — they didn't call themselves venture capitalist at that time, but there  were a group of basically capitalists.

47:20

And they would sit in a tavern or something,  and they would get pitches by whaling captains.

47:25

And you can imagine the whaling captains.

47:25

A third of the whaling journeys never came back.

47:32

A third of the time the boats got  destroyed and everybody drowned.

47:32

And so it's like — I'm the captain who's going to be able  to not only go get the whale, but I'm gonna be able to keep my crew alive.

47:41

By the way, I have  a strategy and a theory for where the whale is.

47:46

And maybe one guy is like — look,  I'm gonna go where everybody knows there are whales and other guy’s gonna  be like — no, that place is overfished, I'm gonna go to some other place where nobody  thinks there's a whale, but I think there is.

47:54

And then one guy is gonna say — I'm better  at assembling a crew than the other.

47:54

And the other one's like — Well, no, I don't even need  a crew.

47:57

I just need a bunch of grunts and I'm going to do all the work.

48:01

And then another guy  might say — I want a small fast boat.

48:01

And other guy might say — I want a big slow boat.

48:06

And so there's a set of people, imagine in the tavern under candlelight at night, debating all  this back and forth — Okay, this captain on this journey, not that captain on that journey and then  putting the money behind it to finance the thing.

48:21

That's what they did then and that's still  what we do.

48:21

So what I'm pretty confident about is there will be somebody like us  who is doing that in 50 years, 100 years, 200 years.

48:31

It will be something like that.

48:31

Will  it be called venture capital? That I don't know.

48:38

Where will it be happening? I don't know.

48:38

But that seems like a very fundamental role.

48:43

Will the public private distinction that  exists now, will that exist in 50 years?

48:51

You mean like companies going public?

48:51

Yeah and just the fact that there's different rules for investing in both and just  a separate category? Is that gonna exist?

49:01

There's already shades of gray.

49:01

I would  say that's already dissolving.

49:01

There's very formal rules here.

49:06

But there's already shading  that is taking place.

49:06

In the last 20 years, it's become much more common for especially  later stage private companies to have their stocks actually trade.

49:17

Actually be semi liquid  and trade either through secondary exchanges or tender offers or whatever.

49:23

That didn't used to  happen, that didn't really happen in the 1990s.

49:28

And then it started happening in the late 2000s.

49:28

And then you've got lots of people with different kinds of approaches to have different kinds  of private markets and new kinds of private liquidity.

49:35

And look, you've got these  new mechanisms, you've got crypto tokens.

49:39

You've got entirely new mechanisms as well  popping up representing underlying value.

49:45

And then arguments, debates all the time in public  and with regulators and in the newspapers about what counts — Who can invest in?

49:50

This whole  accredited investor thing.

49:50

A lot of this is around “protecting investors”.

49:56

And then there's  this concept of high net worth investors should be allowed to take more risk, because they can  bear the losses.

50:00

Whereas normal investors should not be allowed to invest in private companies,  but then there's a counter argument that says, then you're cutting off growth investing  as an opportunity for normal investors, and you're making wealth inequality worse.

50:12

That debate will keep playing out.

50:18

It'll kind of fuzz a bit.

50:18

I'd expect  both sides will moderate a little bit.

50:23

So in other words, public companies  will get to be a little bit more liquid over time.

50:28

The definition of what it means  to be public will probably broaden out.

50:28

I'll give you an example.

50:35

Here's an interesting thing.

50:35

So you can have this interesting case where you can take a company private, but it's still  effectively public because it has publicly traded bonds.

50:46

And then it ends up with publicly filed  financials on the bond side, even though its stock is private.

50:50

And so it's effectively still  public because of information disclosure.

50:50

And then the argument is — well, if I already have full  information disclosure, as a result of the bonds trading, you might as well take the stock public  again.

50:59

Anyway it'll fuzz out somewhere in there.

51:05

Okay, so there's a clear pipeline of successful  founders, who then become venture capitalists like yourself, obviously.

51:11

But I'm curious why the  opposite is not more true?

51:11

So if you're a venture capitalist, you've seen dozens of companies  go through hundreds of different problems.

51:16

And you would think that this puts you in a perfect  position to be a great entrepreneur.

51:20

So why don't more venture capitalists become entrepreneurs?

51:25

One reason is it's just harder to build a company, it just flat out is.

51:33

It's not easy to be a VC, but  it's harder to build a company.

51:33

And it requires a level of personal commitment.

51:38

Successful venture  capitalists do get to a point in life where they start to become pretty comfortable.

51:44

They make  money and they start to settle into that sort of fairly nice way of living at some point in a lot  of cases.

51:50

And going back to the 2 AM chewing glass kind of thing is maybe a little bit of a  stretch for how they want to spend their time. So that's part of it.

52:01

The other part of it  is — the activities are pretty different.

52:07

The way I describe it is — actually starting and  running a company is a full on contact sport, it's a hundred decisions a day.

52:12

I’ll give an  example: bias to action.

52:12

Anybody who's running a company, you have to have a bias to action.

52:18

You're faced with a hundred decisions a day, you don't have definitive answers on any  of them.

52:23

And you have to actually act anyway.

52:26

Because if you sit and analyze the  world will pass you by.

52:26

And it's like — a good plan executed violently is much  better than a great plan executed later.

52:35

So it's a mode of operating that rewards  aggression, contact with reality, constantly testing hypotheses, screwing up a  lot, changing your mind a lot, revisiting things.

52:50

It’s thousands and thousands of crazy  real world variables all intersecting.

52:56

Being an investor is different.

52:56

It's much more  analytical, clinical, outside-in.

52:56

The decision cycles are much longer, you get a much longer  period of time to think about what you should invest in, you get a much longer period of time to  figure out when you should sell.

53:08

Like I said, you generally don't want to trade frequently if you're  doing your job right.

53:13

You actually want to take a long time to really make the investment decisions,  and then make the ultimate sale decisions.

53:24

VCs, we help along the way, when companies  have issues that they're in the middle of.

53:28

But fundamentally, it's a much bigger level of  watching, observing, learning, thinking, arguing, in the abstract, as opposed  to day to day bloody combat.

53:45

Honestly, it's a little bit like  — Why don't the great football broadcasters go get on the field?

53:48

Try  being the running back for a season? Got it.

53:59

How soon can you tell whether  somebody will make for a good CEO of a large company specifically?

54:04

So can you tell as  soon as they've got a new startup that they're pitching you?

54:08

Or does it become more clear  over time as they get more and more employees?

54:16

The big thing with being able to run things at  scale, there's actually a very big breakthrough that people either make or they don't make.

54:20

And  the very big breakthrough is whether they know how to manage managers.

54:24

Say you're running  a company with a hundred thousand employees, you don't have a hundred thousand direct reports.

54:31

You still only have like eight or ten direct reports.

54:36

And then each of them have eight or ten  direct reports and each of them have eight or ten direct reports.

54:40

And so even the CEOs of really  big companies, they're only really dealing with eight or ten or twelve people on a daily basis.

54:43

And then how do you become trained as a manager?

54:51

The way you become trained as a manager  initially is you manage a team of individual contributors.

54:54

I'm an engineering manager,  I have eight or ten coders working for me.

54:59

And then the breakthrough is — am I trained  in how to become a manager of managers?

55:06

If I'm early in my career, the way I think about  that is I start out as an individual contributor, let's say an engineer.

55:09

I get trained on how to  be a manager of individual contributors, and that makes me an engineering manager.

55:13

And then if I get  promoted to what they call engineering director, which is one level up, now I'm a director and  now I'm managing a team of managers.

55:17

Anybody who can make that jump now has a generalizable  skill of being able to manage managers, and then what makes that skill so great is that skill can  scale.

55:27

Because then you can get promoted to the VP of engineering, now you have a team of directors  who have teams of managers who have teams of ICs and so forth.

55:36

And then at some point, if you  keep climbing that ladder, at some point you get promoted to CEO.

55:40

And then you have a team of  managers who are the executives of the company, and then everything spans out from there.

55:44

And so if you can manage managers, at least in theory, you have the basic skill and temperament  required to be able to scale all the way up.

55:53

Then it becomes a question of how much  complexity can you deal with?

55:53

Can you learn enough about all the different domains  of what it means to run a business?

55:57

Are you going to enjoy being in the job and being on  the hot seat?

56:01

All those kinds of questions.

56:07

I think 100% of the people we back  have the intelligence to do it, maybe half of them have the temperament to do it, and then maybe half of those have the intelligence  and the temperament and they really want to do it.

56:21

And by “might want to do it” I mean, 20 years from  now, they still want to be running their company.

56:27

And enough of them where we get the success  cases.

56:27

But having said that as an entrepreneur, you have to really want that.

56:32

You have to be smart  enough and you have to have the temperament and you have to actually want to learn the skills.

56:35

And not everybody is able to line those up. Got it, got it.

56:39

Managing  the managerial revolution.

56:46

Actually, that's exactly right.

56:46

The best  case scenario is a bourgeois capitalist, entrepreneurial CEO, managing a team of managers  who are doing all the managerial stuff required at scale.

56:56

That's the best case scenario for a  large modern organization.

56:56

Best of both worlds, they're able to harness the benefits of scale,  and they're able to still build new things.

57:07

The degenerate version of that is a manager  running a company of people who in theory can build your products.

57:16

But in the Burnham sense,  if the CEO is the manager who is running a team of people who want to build their products,  that company probably will not actually build their products.

57:25

Those people will probably  all leave and start their own companies. Yep, yep.

57:29

Now, as unlikely as this may be,  just humor the hypothetical.

57:29

Let's say a16z for the next 10 to 20 years has mediocre  returns.

57:35

If you had to guess looking back, what would be the most likely reason this might  happen?

57:40

Would it have to be some sort of macro headwind, would it have to be betting on the  wrong tech sectors, what would it have to be?

57:49

20 years is a long enough time where it's  probably not just a macroeconomic thing.

57:56

The big macro cycles seem to play out over  7 to 10 year periods.

57:56

And so over 20 years, you'd expect to kind of get two  or three big cycles through that.

58:03

And so you'd expect to get at least some  chance to make money and harvest profits.

58:08

Probably it wouldn't be a macro problem.

58:08

Look, you  can imagine it, if a real pandemic happens.

58:08

By the way, I’m now gonna get you demonetized on Google  because I'm going to reference pandemics but..

58:21

Don’t worry, I didn't have enough  views to be monetized anyway.

58:28

If something horrible happens then you could  be in a ditch for 20 years.

58:28

But if things continue the way that they have, for the last 50  years or 80 years.

58:33

There'll be multiple cycles, and there'll be a chance to make money  for people who make good investments.

58:42

So it's probably not that, and then there'll be  the micro explanation, which is we just make bad investments.

58:48

We invest the money, but we just  invest in the wrong companies and we screw up.

58:53

And that's of course always a possibility.

58:53

And probably the most likely downside case.

58:58

The other downside case is — I would build on what  I was mentioning earlier, from Bill Janeway.

58:58

The other downside case would just be that there's  just not enough technological change happening.

59:12

There wasn't enough investment in basic  research in the preceding 50 years in areas that actually paid off.

59:16

There  wasn't enough underlying technological change that provided an opportunity  for new entrepreneurial innovation.

59:25

And the entrepreneurs started the companies and  they tried to build products and we funded them and for whatever reason, the sectors in which  everybody was operating just didn't pay off.

59:35

If we hit five clean-tech sectors in a row or  something like that, the whole thing just doesn't work.

59:39

In a sense, that's the scariest one because  that's the one that's most out of our control. That's purely exogenous.

59:48

We can't wish new science  into existence.

59:48

And so that would be a scary one.

59:55

I don't think that's the case.

59:55

And in fact, I  think quite possibly the opposite is happening.

59:59

But that would be the downside scenario.

59:59

How vulnerable is a16z to any given single tech sector not working out?

1:00:05

Whether it's because  of technical immaturity, or by their regulation or anything else?

1:00:10

But if your top sector doesn't  work out, how vulnerable is the whole firm?

1:00:15

Innovation could just be outlawed.

1:00:15

And that's  a real risk, because innovation is outlawed in big and important areas like Nuclear.

1:00:20

I always  love meeting with new nuclear entrepreneurs, because it's just so obvious that we should have  this big investment in nuclear energy and there's all these new designs.

1:00:31

But the Nuclear Regulatory  Commission has not authorized a new nuclear design since its inception nearly 50 years ago.

1:00:35

So it's  just illegal to build new nuclear in the US.

1:00:35

By the way, there's all these fusion entrepreneurs  that are super geniuses, the products are great, it looks fantastic.

1:00:44

I just don't think there's  any prospect of nuclear fusion being legal in the US.

1:00:48

I think it's just impossible and  can't be done.

1:00:48

Maybe it's just all outlawed, in which case, at a societal level we will deserve  the result.

1:00:56

But that would be a bummer for us.

1:01:01

And then I don't know, let's say crypto  gets regulated or it's just not ready yet.

1:01:07

It doesn't have to be crypto specifically.

1:01:07

But what happens to a16z as a whole?

1:01:07

I mean, does a whole firm carry on? Or?

1:01:10

Look, it's up to our LPs.

1:01:10

We raise money on a cycle.

1:01:16

So our LPs have an option every  cycle to not continue to invest.

1:01:16

Just logically the firm is somewhat diversified now.

1:01:24

We have six  primary investment domains.

1:01:24

So at least in theory, we have some diversification across categories.

1:01:31

At  least in theory, we could lose a category or two and the investment returns could still be good,  and the investors will still fund us.

1:01:37

The downside case from there would be that those categories are  actually more correlated than we would want them to be.

1:01:50

As a firm, we have a big focus on software,  we think software is a wedge across each of those verticals.

1:01:54

Maybe AI turns out for whatever  reason not to work, or gets outlawed or something or just fundamentally makes economics worse or  something.

1:02:02

Then you can imagine that hitting multiple sectors.

1:02:06

Again, I don't think that's  going to happen, but I guess it's a possibility. Yeah.

1:02:10

What did the old management of Twitter  fail to see about the potential of the platform?

1:02:16

So first I'd say that I have a very hard  time second guessing management teams, because like I said, my belief is that it's so  easy to criticize companies and teams in the outside, it's so hard to run these companies,  there are always a thousand factors that are invisible from the outside that make it  really hard to make decisions internally.

1:02:35

By the way, the histories on all this stuff  are really always screwed up.

1:02:35

Because what you almost always find in the history of the great  companies is that there were moments early on where it was really tenuous, and it could have  easily gone the other way.

1:02:44

Netflix could have sold out to Blockbuster early on, and Google  could have sold out to Yahoo.

1:02:48

And we never would have even heard of those companies.

1:02:51

And  so it's really, really hard to second guess.

1:02:58

I guess I will just put it this way — I've always  believed and I was an angel investor in Twitter back when it first got started.

1:03:03

I've always  believed that the public graph is something that should just be titanically valuable in the world. The public-follow graph.

1:03:08

In computer science terms, Twitter is what's called publish subscribe  to the idea of a one way public follow graph.

1:03:22

That ought to be just absolutely titanically  valuable, that ought to be the most valuable content, loyalty brand signal in the world.

1:03:26

That  ought to be the most complete expression of what people care about in the world, that ought  to be the primary way that every creator of everything interacts with their customers and  their audience.

1:03:34

This ought to be where all the politics operates, this ought to be where every  creative profession operates, this ought to be where a huge amount of the economy operates.

1:03:41

They were always on to such a big idea.

1:03:52

Like with everything, it's a question of —  What does that mean in terms of what kind of product you can build around that?

1:03:56

And then  how can you get people to pay for it?

1:03:56

But yeah, I've always viewed that the economic opportunity  around that core innovation that they had is just much, much larger than anybody has seen so far.

1:04:06

But how specifically do you monetize that graph?

1:04:10

Oh, there's a gazillion ways.

1:04:10

There's tons and  tons of ways.

1:04:10

Elon has talked about this publicly so it’s not spoiling anything, but Twitter is  a promotional vehicle for a lot of people who will then provide you stuff on another platform.

1:04:22

I'm just taking an obvious example.

1:04:22

He has talked about video.

1:04:27

People create video, they market it  on Twitter, and then they monetize it on YouTube. Like, why?

1:04:35

Why is that not happening (on  Twitter)?

1:04:35

Musicians will have followings of 5-10 million people on Twitter,  they aren't selling concert tickets.

1:04:46

I'm sure this was happening before but where it  first came to mind was, if you remember Conan O'Brien when he got famously fired from the  Tonight Show, he did this tour.

1:04:51

And I was a fan of his so I was following him at the time.

1:04:56

He  did his first live comedy music tour.

1:04:56

And he sold out the tour across 40 cities in like two hours. How did he do it?

1:05:04

Well, he just put up on his Twitter account.

1:05:10

He said — I'm going on the road,  here are the dates, click here to buy tickets. Boom, they all sold out.

1:05:15

“Now click here  to buy tickets” was not “click here to buy tickets on Twitter.

1:05:18

” It was “click here  to buy tickets somewhere else”.

1:05:18

But why isn't every concert in the world, why isn't  every live event getting booked on Twitter?

1:05:28

There's a lot of this kind of thing.

1:05:28

As Elon is fond of saying, it's not rocket science. Yeah.

1:05:33

It's funny that a few revolutions in the Middle East were  organized in the same way that Conan O'Brien organizes tour, just by posting it on Twitter.

1:05:39

So this is the thing that got me so convinced on social media relatively early.

1:05:44

Even before  the Arab Spring, I don’t know if you remember, you might be too young, but there was this  overwhelming critique of social media between inception in like 2001 to basically mainstreaming  in like, 2011-2012.

1:05:55

There was a decade where there was just this overwhelming critique from  all the smart people, as I like to say.

1:06:05

That was basically — this thing is useless. This is narcissism.

1:06:05

This is just pointless self ego stroking, like narcissism. Nobody  cares.

1:06:12

The cliche always was Twitter is where you go to learn what somebody's cat had for  breakfast.

1:06:16

Who cares what your cat had for breakfast?

1:06:20

Nothing will ever come from any  of this.

1:06:20

And then I remember, you could pick up any newspaper on any given day through that  period and you could read something like this.

1:06:29

And then I remember when Erdoğan was consolidating  control of Turkey.

1:06:29

Erdoğan came out and he said, “I think Twitter is the primary challenge to the  survival of any political regime in the modern world,” And I was like — Okay, all the smart  analysts all think this is worthless and then a guy who's actually trying to keep control of  a country is like, this is my number one threat.

1:06:55

The spread of what that meant, of what the  outcomes meant.

1:06:55

I was just like — “Oh my god.

1:06:55

” My conclusion was Erdoğan is right and all the  smart westerners are wrong.

1:07:02

And quite honestly, I think it’s still quite early on.

1:07:11

We’re still  pretty early in the long arc of social media.

1:07:18

The high level thing here would be — the world  in which 5 billion people are on the internet is still only a decade or so old.

1:07:26

That’s still  really early.

1:07:26

The world in which 5 billion people are on social networks is like five years  old. It’s still super early.

1:07:33

If you just look at the history of these transitions in the past,  just look at the printing press as a prescient example.

1:07:45

It took 200 years to fully play out the  consequences of the printing press.

1:07:45

We’re still in the very early stages with these things.

1:07:51

I was like ten in 2011 so I don’t know if I would’ve personally.

1:07:56

I would’ve liked to think I  would’ve caught on if I was older but maybe not. It’s hard to know.

1:08:00

But it is kind of interesting.

1:08:00

You are personally invested in every single major social media company.

1:08:07

So it’s interesting  to get your thoughts on where that sector might go.

1:08:11

Do you think the next ten years will  look like the last ten years when it comes to Big Tech?

1:08:15

Is it just going to keep becoming a  bigger fraction of GDP? Will that ever stop?

1:08:21

As a fraction of GDP, it’s only gonna go up.

1:08:21

It  is the process of tech infusing itself in every sector.

1:08:30

And I think that’s just an overwhelming  trend.

1:08:30

Because there are better ways to do things.

1:08:36

There are things that are possible today that were  not possible ten years ago.

1:08:36

There are things that will be possible five years from now that aren’t  possible today.

1:08:40

So from a sector standpoint, the sector will certainly rise as a percent.

1:08:45

I’m putting my money where my mouth is in the following statement — Entrepreneurial capitalism  will deliver most of that.

1:08:53

A lot of that gain will be in companies that were funded in the venture  capital, silicon valley kind of model.

1:08:58

For the basic reason we discussed which is you do need to  have that throwback to the bourgeois capitalist model to do new things.

1:09:09

Incumbents are generally  still very poor at changing themselves in response to new technology for reasons we’ve discussed.

1:09:15

So that process will continue to play out.

1:09:21

Another thing that I would just highlight is —  The opportunity set for tech is changing over time in another interesting way.

1:09:27

We’ve been good at  going over the dynamic but small slices of GDP in the last fifty years.

1:09:35

And more and more  now, we’re going to be going after the less dynamic but much larger sectors of GDP.

1:09:38

Education,  healthcare, real estate, finance, law, government are really starting to come up for grabs.

1:09:48

They  are very complicated markets and they’re hard to function in.

1:09:52

As startups, it’s harder to build  the companies but the payoff is potentially much bigger.

1:09:56

Because those are such huge slices of GDP.

1:09:56

So the shape of the industry will change a bit over time. What is technology?

1:10:03

Technology is  a better way of doing things.

1:10:03

At some point, the better way of doing things is the way  that people do things.

1:10:12

At some point that does shift market share from people doing things  the old to the people doing things the new way.

1:10:20

But let's say you build a better education  system somehow.

1:10:20

The government is still going to be dumping trillions of dollars into the old  education system or the old healthcare system.

1:10:29

Do you just accept this as a lost cause that  basically 50% of the GDP will just be wasted but we’ll make the other 50% really good?

1:10:34

When you're building alternatives, do you just accept the loss of the existing system?

1:10:40

Education is a great example.

1:10:40

I think the incumbent education system is trying to  destroy itself.

1:10:46

It and the people running it, and the people funding it are trying to kill  it.

1:10:53

And they’re doing it every possible way they can.

1:10:57

For K-12 they are trying to prioritize  the teachers over the students which is the opposite of what any properly run company would  do.

1:11:02

At the university level, the problems in the modern university have been well covered  by other people.

1:11:10

They have become a cartel.

1:11:20

Stanford now has more administrators than they  have students.

1:11:20

No company would run that way.

1:11:28

There’s a positive vision where you  could turn that into the Bloom two-sigma, single student for single administrator  but I don’t think that’s what's happening. Yes, yes. That’s correct.

1:11:35

You could and they’re  not. That’s exactly right.

1:11:35

And then you see the federal student loan kind of crazy thing.

1:11:42

By the  way, the universities are voluntarily shutting down use of admissions testing.

1:11:46

They’re shutting  down SAT, ACT, GRE.

1:11:46

They’re very deliberately eliminating the intelligence signal which is a big  part of the signal employers piggyback on top of.

1:11:58

They become intensely politicized.

1:11:58

We now know  through the replication crisis that most of the research that happens in these universities is  fake.

1:12:03

Most of it is not generating real research results.

1:12:07

We know that because it won’t replicate.

1:12:07

You’ve just got these increasingly disconnected mentalities and there’s some set of people who are  obviously going to keep going to these schools.

1:12:24

And then you just look at cost.

1:12:24

A degree from a  mainstream university that costs, in ten years, a half-million or a million dollars that has no  intelligence signal attached to it anymore.

1:12:31

Where most of the classes are fake, where most of the  degrees are fake, most of the research is fake, where they are wrapped up in these political  obsessions.

1:12:43

That’s probably not the future of how employers are going to staff.

1:12:51

That’s  probably not where people are actually going to learn valuable marketable skills.

1:12:55

The  last thing they want is to actually teach somebody a marketable skill.

1:13:00

Teaching  somebody a marketable skill is just so far down in the list of priorities of a  university now it’s not even in the top 20.

1:13:10

Lot of it is just they’re a cartel.

1:13:10

They  operate as a cartel, they run as a cartel, it is a literal cartel.

1:13:14

And the cartel  is administered through the agencies, the quasi-governmental bodies that determine who  gets access to federal student loan funding.

1:13:19

And those bodies are staffed by the current university  administrators.

1:13:24

So it’s a self-governing cartel.

1:13:28

It does exactly what cartels do, it’s  stagnating and going crazy in spectacular ways.

1:13:36

There’s clearly going to be an educational  revolution.

1:13:36

Does that happen today or five years or ten years, I don’t know.

1:13:42

Does  it happen in the form of new in-person tuitions versus internet-based? I don’t know.

1:13:45

Is it driven by us or is it driven by employers who just get fed-up and they’re like — “Screw  it.

1:13:52

We’re not gonna live like this anymore and we’re gonna hire people in a totally different  way. ” That, I don’t know.

1:13:56

There’s lots and lots of questions about what’s gonna happen  from here.

1:13:59

But the system is breaking in fundamental and obvious ways. Healthcare, same thing.

1:14:18

It’s extraordinarily difficult to find positive  outcomes in healthcare.

1:14:18

In other words, there’s lots of activity in healthcare.

1:14:24

It’s very  hard to find anything that causes people to live longer.

1:14:29

Or to be healthier longer.

1:14:29

Every once in a  while there’s a successful new cancer treatment or something but there are all these analyses that  show that massive investment and public support for health insurance and all these things.

1:14:39

And the health outcomes basically don’t move.

1:14:45

To the extent that people care at all  about the reality of their health, there are going to have to be new ways of doing  things and tech is going to be the way through the market for people who have those ideas.

1:14:52

Hopefully these revolutions in education and healthcare are not like healthcare itself where  we are always twenty years away from a cure to cancer and we’re always twenty years  away from making education technological.

1:15:04

You’ve talked about how big tech is 2 to 4x  overstaffed in the best case.

1:15:04

I’m curious how overstaffed do you think venture capital is?

1:15:10

How many partners and associates could we let go and there really wouldn’t be a difference  in the performance of venture capital.

1:15:19

My friend Andy Rachleff, who is the founder  of Benchmark and teaches venture capital at Stanford.

1:15:22

I think his description of this  is correct.

1:15:22

He says — Venture capital is always over staffed and over funded.

1:15:27

His estimate  is that it is overfunded by a factor of 5.

1:15:38

It should probably be 20% of the size that it  is.

1:15:38

It should be 20% of the number of people, it should be 20% of the number of funds, it should  be 20% of the amount of money.

1:15:43

And his conclusion after watching this for a long time and analyzing  it was it’s basically a permanent 5x overfunding, overstaffing.

1:15:54

It goes to what I referenced earlier  which is, the world we live in just has a massive imbalance of too much money chasing too few  opportunities to invest the money productively.

1:16:05

There’s just too much money that needs  long run returns that looks to venture as part of their asset allocation.

1:16:09

In the way  that modern investors do asset allocation.

1:16:16

The full version of it he describes is  that — there’s only ever been two models of institutional investment.

1:16:20

There’s the old model of  institutional investment which is 60-40 stocks and bonds that kind of dominated the 20th century  up until the 1970s.

1:16:24

And there’s what’s called the Swensen model.

1:16:27

Swensen who created the Yale  endowment in its modern form and that’s the model that all the endowments and foundations have  today and increasingly sovereign wealth funds, where they invest in alternative assets.

1:16:36

Which  means hedge funds, venture capital, real estate and things that aren't stocks and bonds.

1:16:42

So anybody following the Swensen model has an allocation to venture capital,  on average that’s maybe 4% of their assets.

1:16:50

But 4% of the entire global  asset base is just a gigantic number.

1:16:55

It’s like someone once said — It’s like having  a 6th marriage, hope triumphing over experience.

1:17:04

The thing you will hear from LPs is every LP says  they only invest in the top ten venture capital funds and every LP has a different list for who  that is.

1:17:08

They all kind of know that the whole sector is overfunded, but they all kind of know  that they suffer from a real lack of...

1:17:17

where else is the money going to go?

1:17:23

And then, it’s always  possible that you’ll have some great new fund, there’s some great new sector that will open  up.

1:17:31

A huge advantage that venture capital has is the long dated part of it.

1:17:37

It means you  don’t suffer the consequences of a bad venture capital investment upfront.

1:17:42

You get a ten year  lease on life when you make a venture capital investment.

1:17:48

You’re not gonna get judged for a  long time.

1:17:48

And so I think that causes people to invest more in this sector than they should.

1:17:53

Is the winner's curse also a big component here where the guy who bids the most  is the one who sets the price? That can happen.

1:17:59

At the early stages the best  companies tend to raise at less than the optimal price because the signal of who invests is more  important than the absolute price.

1:18:07

And so almost every investment that we fund at the Series  A stage, they could raise money at 2-4 times the price they raised from us.

1:18:19

But they value the  signal.

1:18:19

And I think that’s also true of the seed landscape and it’s also still true in a lot of  cases at the series B level.

1:18:24

Series C and beyond it becomes much more of an efficient market.

1:18:29

Again it’s not a full auction.

1:18:29

It’s a little bit like your earlier question.

1:18:33

At least here’s  the theory — it’s not just money, it’s not just a straight up liquid financial market.

1:18:42

These are  whaling journeys.

1:18:42

By the way, there’s a much blunter answer to this question which is — people  who raise seed money and series A money from the high bidder often end up really regretting it  because they end up raising money from people who don’t actually understand the nature of a whaling  journey, or a tech startup.

1:18:57

And then they panic at the wrong times and they freak out.

1:19:03

And the  wrong investors can really screw up a company.

1:19:08

At least historically, there’s a self-correcting  equilibrium that comes out of that.

1:19:08

Where the best entrepreneurs understand that they want  someone on their team who really know what they’re doing and they don’t want to take  chances with someone that’s gonna freak out and try to shut the company down the first  time that something goes wrong. But we’ll see.