
51 segments available
Get ready for a crash course for you in the next great distribution shift. In this episode, Brian Balfour and Fareed Mosavat pull back the curtain on why AI’s real battleground isn’t the tech itself—it’s the fight to be the next distribution platform. Fareed and Brian dissect the playbooks and cycles that crowned Facebook, Google, Apple and LinkedIn as the winners of their categories and turned them from open platforms into toll booths. The key part is who is going to be next, and what you need to know to play the game. We cover: - Brian's prediction on which LLM will create the platform first—and exactly how to ride that wave before the gates slam shut. - How startups need to play the game differently vs larger companies - A candid debate on platform moats, memory vs. action, and whether PLG just made a roaring comeback. If you build, invest, or obsess over AI products, this 45-minute sprint will hand you the hard truths and the hidden opportunities shaping the next couple of years. Plug in, level up—and learn how to play the game before the game plays you.
Brian Balfour and Fareed Mosavat introduce the concept of AI's distribution shift, emphasizing that the real battleground lies in becoming the next distribution platform. They discuss the historical context of successful platforms like Facebook, Google, and Apple, and set the stage for understanding the upcoming changes in the landscape of AI distribution.
"Hey everyone, we have a crash course for you in the next great distribution shift. I'm Brian Belffor. I'm founder and CEO of Reforge. I'm joined by my co-host, Fared Masavat. In this episode we pull b..."
Brian Balfour and Fareed Mosavat introduce the concept of AI's distribution shift, emphasizing that the real battleground lies in becoming the next distribution platform. They discuss the historical context of tech giants like Facebook, Google, Apple, and LinkedIn, who transformed from open platforms into toll booths, setting the stage for the next players in the game.
"Hey everyone, we have a crash course for you in the next great distribution shift. I'm Brian Belffor. I'm founder and CEO of Reforge. I'm joined by my co-host, Fared Masavat. In this episode we pull b..."
Brian highlights the importance of staying ahead of the curve in a tightening distribution landscape. He introduces Reforge Insights, a tool designed to aggregate customer signals and provide actionable insights. This segment emphasizes the need for businesses to adapt quickly to customer feedback to thrive in the evolving AI landscape.
"game before the game plays you. But one of those keys will be how do you stay ahead of the curve? And that's exactly why we built Reforge Insights. As distribution keeps tightening and competition is ..."
Brian explains the importance of staying ahead of the curve in a tightening distribution landscape. He introduces Reforge Insights, a tool designed to aggregate customer feedback from various sources, enabling companies to adapt and respond effectively to customer needs. This segment highlights the significance of data-driven insights in navigating the competitive AI market.
"of those keys will be how do you stay ahead of the curve? And that's exactly why we built Reforge Insights. As distribution keeps tightening and competition is increasing, your critical lever is how y..."
Brian discusses the premise of distribution shifts, referencing Casey Winters' insights on technology and distribution. He explains how historical patterns show that technology shifts often precede distribution shifts, and he believes we are on the brink of a significant distribution change in the AI sector.
"episode. Brian, you wrote an awesome post this past week on called the what is the exact sparked from our last conversation. Sparked from our last conversation uh about the next great distribution shi..."
Brian and Fareed reflect on a recent post by Brian that sparked significant discussion about the upcoming distribution shift. They explore the reactions and core thesis behind the post, setting the stage for a deeper analysis of what this means for companies involved in AI.
"episode. Brian, you wrote an awesome post this past week on called the what is the exact sparked from our last conversation. Sparked from our last conversation uh about the next great distribution shi..."
Brian discusses Casey Wyner's insights on the historical relationship between technology shifts and distribution shifts. He explains how technology advancements often precede distribution changes, and how the current environment is ripe for a significant distribution shift in AI, despite the increasing difficulty of achieving effective distribution.
"clicked on the title. Yeah. I'm going to lay out the thesis. I should talk about my personal core prediction. Um, and then there was a bunch of good follow-up questions and comments where I think we s..."
In this segment, Brian outlines the competitive conditions that emerge during distribution shifts. He draws parallels to past platforms like Facebook and Google, explaining how consensus on a category's potential leads to the identification of moats and the eventual opening of platforms to gain market share.
"premise of the whole thing is um so Casey Wyinners wrote a pretty good post. It was about a year and a half ago now right? And his main post the point of that post was we have had this technology shif..."
Brian outlines the cyclical nature of distribution platforms, detailing the competitive conditions that lead to the identification of moats. He explains how platforms initially open up to attract users but eventually close off access to monetize their ecosystems, using examples from Facebook, Google, and Apple to illustrate this pattern.
"because everybody is looking right and and it kind of gets to the point that we'll talk about which is the cycle is accelerating and I I think we expect this cycle to be much shorter than the previous..."
Brian elaborates on the cycle of opening and closing gates in platform ecosystems. He describes how platforms initially invite third-party developers to enhance functionality but later restrict access to monetize their offerings. This cycle has been observed in major platforms like Facebook, Apple, and Google, illustrating the challenges for startups and developers.
"to Facebook to Apple to even some smaller distribution channels like uh LinkedIn, they all follow the same exact cycle. The first is that there is essentially a step zero. It's the competitive conditi..."
Brian shares his personal experience with Facebook's distribution cycle, detailing how the platform initially thrived on organic distribution before tightening control. He discusses the implications of this cycle for businesses and creators, emphasizing the challenges faced as platforms shift their strategies to maximize revenue.
"the second step which is opening the gates. And of course, everybody rushes in. New businesses are created. You know, it's it's awesome. But then inevitably, what happens is the gates start to close. ..."
Brian shares his personal experience with Facebook's distribution changes, highlighting how the platform's initial openness transformed into restrictive practices that affected third-party applications. This cautionary tale serves as a warning for current and future developers navigating similar platforms.
"the second step which is opening the gates. And of course, everybody rushes in. New businesses are created. You know, it's it's awesome. But then inevitably, what happens is the gates start to close. ..."
Brian reflects on the recent changes in LinkedIn's distribution strategy, noting how the platform has shifted from supporting organic content to pushing paid advertising. He highlights the broader implications for content creators and businesses, illustrating the ongoing cycle of distribution platform evolution.
"right. They did a comboing answers, etc. Yep. That's right. And the one that's been most painful for me personally lately has been LinkedIn because because they really did an emphasis over the last fe..."
Brian discusses LinkedIn's recent changes in distribution strategy, where the platform has shifted from promoting organic content to pushing paid advertising. He reflects on the implications of this shift for content creators and the broader landscape of professional networking.
"right. They did a comboing answers, etc. Yep. That's right. And the one that's been most painful for me personally lately has been LinkedIn because because they really did an emphasis over the last fe..."
Brian Balfour analyzes the competitive pressures that drive platforms like Facebook and Google to absorb popular third-party use cases. He discusses the inherent tensions between developers, users, and platforms, emphasizing the need for creators to understand these cycles to navigate the landscape effectively.
"seen it anecdotally on my own personal stuff. were in this Slack community with dozens of other professional creators who have all seen it. And so, you know they're they're essentially going through t..."
Brian and Fareed analyze the competitive dynamics of major platforms like Facebook and Google, discussing how these companies absorb popular third-party use cases to maintain control. They explore whether these actions are malicious or a natural result of capitalistic pressures, emphasizing the need for developers and creators to understand and navigate these cycles effectively.
"seen it anecdotally on my own personal stuff. were in this Slack community with dozens of other professional creators who have all seen it. And so, you know they're they're essentially going through t..."
In this segment, the conversation shifts to the inherent tensions between platforms, developers, and users. Brian explains how the need for growth can lead to misaligned incentives, affecting the user experience and developer independence. He emphasizes the importance of recognizing these dynamics to navigate the marketplace successfully.
"but publishers also who are supply side of the marketplace on these platforms and the users who are the demand side of the the marketplace. There are things that are coordinated. I'd like my iPhone to..."
The conversation shifts to the misalignment of incentives among platforms, developers, and users. Brian explains how platforms prioritize growth and revenue, often at the expense of developers' control and independence, creating a complex ecosystem where understanding the rules is crucial for success.
"but publishers also who are supply side of the marketplace on these platforms and the users who are the demand side of the the marketplace. There are things that are coordinated. I'd like my iPhone to..."
Brian shares his prediction about the future of AI distribution platforms, highlighting the competitive landscape among major players like OpenAI, Anthropic, and Google. He emphasizes the importance of context and memory as key moats in this emerging category, suggesting that OpenAI is currently leading in these areas.
"the game so that you can play it play it wisely. which kind of gets to this next phase right which was my personal prediction. So if you follow the pattern kind of that step zero the competitive envir..."
Brian shares his prediction about the future of AI distribution platforms, focusing on the competitive landscape among major players like OpenAI, Anthropic, and Google. He discusses the significance of context and memory as key moats in this emerging category, suggesting that OpenAI's advancements in these areas may position them as a leader in the market.
"the game so that you can play it play it wisely. which kind of gets to this next phase right which was my personal prediction. So if you follow the pattern kind of that step zero the competitive envir..."
The discussion concludes with a strategic perspective on engaging with emerging platforms. Brian advises creators to be proactive and smart in their approach, recognizing that integration with platforms like ChatGPT is essential for staying competitive, while also being aware of the inevitable shifts in platform dynamics.
"accumulation for them. How do you think about I've I think context and memory we talked about this in the last episode are really really important. Do you think action is another moat here? Meaning th..."
The discussion concludes with a strategic perspective on engaging with emerging platforms. Brian emphasizes the importance of being proactive and smart in navigating the competitive environment, warning against naivety regarding the inevitable shifts in platform policies. He encourages developers to make deliberate moves to leverage opportunities while being aware of potential future constraints.
"accumulation for them. How do you think about I've I think context and memory we talked about this in the last episode are really really important. Do you think action is another moat here? Meaning th..."
Fareed and Brian explore the two potential distribution mechanisms that could arise from ChatGPT: a search experience akin to Google and an app or agent platform. They discuss the implications of these mechanisms for developers and the importance of integrating tools effectively within the ChatGPT ecosystem.
"how to play the game wisely. One thing I want to be clear about which I didn't realize until I got a bunch of comments on the post was a lot of people assumed I was actually referring to chat GP searc..."
This segment explores the two distinct distribution mechanisms that may emerge from ChatGPT: a search experience akin to Google and an app or agent platform. The speakers discuss the implications of these mechanisms for developers and businesses, emphasizing the potential for integration and the creation of a robust ecosystem around ChatGPT.
"how to play the game wisely. One thing I want to be clear about which I didn't realize until I got a bunch of comments on the post was a lot of people assumed I was actually referring to chat GP searc..."
Brian and Fareed engage in a discussion about the challenges of memory and context portability across platforms. They reflect on past attempts to make social graphs portable and conclude that consumer experience often trumps the desire for portability. The conversation highlights the complexities of user preferences and the importance of context in different tools.
"Right. Yeah, I think that's a good point that there's that version, but there's also the how do I get discovered version because I asked Chachi Bet a question about what the greatest restaurants in Be..."
This segment delves into the challenges of memory and context portability across AI platforms. Brian highlights the historical context of social networking and the difficulties faced in making user data portable, arguing that consumer experience will ultimately dictate the success of these initiatives.
"Right. Yeah, I think that's a good point that there's that version, but there's also the how do I get discovered version because I asked Chachi Bet a question about what the greatest restaurants in Be..."
Brian clarifies the distinction between platforms and distribution channels, emphasizing that not all platforms come with built-in distribution mechanisms. He discusses the importance of value exchange in distribution and how this impacts the success of platforms in the competitive landscape.
"the best consumer experience and and those pieces. So there were so many plays at you know making your social graph portable back then and just just none of it none of it worked right and so I do thin..."
In this segment, the speakers clarify the distinction between platforms and distribution channels. They explain how platforms can exist without distribution channels and vice versa, emphasizing the importance of value exchange in the distribution process. This understanding is crucial for navigating the evolving landscape of AI distribution.
"the best consumer experience and and those pieces. So there were so many plays at you know making your social graph portable back then and just just none of it none of it worked right and so I do thin..."
In this segment, Brian outlines the essential components for a successful distribution channel, including user base size, engagement levels, and effective touchpoints. He uses examples from platforms like Facebook and Apple to illustrate how these elements contribute to successful distribution strategies.
"hard to reason about what portability even means. Right. Right. Yeah. I think I think that's right. Yeah. Yeah. Certainly in the enterprise context there's going to be tons of friction to demanded by ..."
Brian outlines the essential elements that contribute to effective distribution channels, including user base size, engagement levels, and clear touchpoints for discovery. He uses examples from platforms like Facebook and Apple to illustrate how these factors can drive successful distribution and user retention.
"hard to reason about what portability even means. Right. Right. Yeah. I think I think that's right. Yeah. Yeah. Certainly in the enterprise context there's going to be tons of friction to demanded by ..."
The conversation shifts to ChatGPT's potential as a distribution platform, comparing it to other platforms like Slack. Brian discusses the unique advantages ChatGPT has in terms of user engagement and the open-ended nature of its interactions, suggesting that it could become a significant player in the distribution landscape due to its flexibility and user-centric design.
"like a lot of people pointed to things like Shopify and other things and I was like, okay, well those are platforms but those are platforms that didn't really come with like a core distribution channe..."
Brian discusses the potential of ChatGPT as a distribution platform, comparing it to other platforms like Slack and Google. He highlights the unique opportunities presented by ChatGPT's open-ended interaction model and its ability to leverage user context for effective distribution, suggesting that it could become a significant player in the AI landscape.
"like a lot of people pointed to things like Shopify and other things and I was like, okay, well those are platforms but those are platforms that didn't really come with like a core distribution channe..."
Brian explains why retention is the 'god metric' for determining the success of platforms. He contrasts the retention and engagement levels of Facebook and Google, illustrating how deeper engagement can lead to long-term success, even if initial distribution numbers are lower. This segment underscores the importance of understanding user behavior in the context of platform competition.
"are. But chatb has those things and could be. And because of the open-endedness of their core loop, a bot just talking to you with text, there's a lot of opportunity for distribution right? A lot of p..."
Brian explains why retention is the 'god metric' for determining the winners in the tech landscape. He contrasts the retention and engagement levels of platforms like Facebook and Google, arguing that deeper engagement often trumps sheer distribution numbers. This segment underscores the importance of understanding user behavior and engagement for startups aiming to succeed in a competitive market.
"are. But chatb has those things and could be. And because of the open-endedness of their core loop, a bot just talking to you with text, there's a lot of opportunity for distribution right? A lot of p..."
The conversation shifts to the strategic decisions platforms make to protect their data and user experience. Brian and Fareed analyze Slack's recent API changes as a defensive measure, questioning whether such moves ultimately benefit or hinder user experience. This segment highlights the tension between protecting proprietary data and fostering an open ecosystem for developers.
"winner here. Yeah. I mean imagine and the distribution touch points again because of the open-endedness of the experience are really really strong like imagine a world let's use a business case I ask ..."
The conversation shifts to the strategic decisions platforms like Slack are making to protect their data and user experience. Brian and Fareed debate whether these defensive moves will ultimately benefit or hinder user engagement and distribution, highlighting the challenges platforms face in balancing control with accessibility.
"winner here. Yeah. I mean imagine and the distribution touch points again because of the open-endedness of the experience are really really strong like imagine a world let's use a business case I ask ..."
Brian discusses the evolving incentive structures for platforms regarding data sharing and user engagement. He reflects on how platforms like Udemy have shifted their revenue-sharing models over time, illustrating the broader trend of platforms needing to monetize while still providing value to creators and users.
"that space. So I do think a question mark is can you win right? Yeah. Uh about whether you should you should fight or join. Yeah. I mean I think you see this across I like I interpreted the Slack move..."
Brian discusses the challenges platforms face in balancing data access and monetization. He reflects on how companies like Udemy have shifted their revenue-sharing models over time, impacting creator incentives. This segment emphasizes the need for platforms to find the right incentive structures to foster innovation while ensuring profitability.
"that space. So I do think a question mark is can you win right? Yeah. Uh about whether you should you should fight or join. Yeah. I mean I think you see this across I like I interpreted the Slack move..."
In this segment, Brian shares his prediction that ChatGPT will emerge as a leading platform in the AI space. He discusses the implications of regulatory challenges and the importance of strategic positioning for companies at different stages, emphasizing the need for startups to take calculated risks in a rapidly evolving landscape.
"does. Yeah. Yeah. I think that's right. Or or they're Yeah. Or they're very generous. Right. And this doesn't just happen on the big platforms either. I was riffing with somebody on this and so Udemy ..."
In this forward-looking segment, Brian shares his prediction that ChatGPT will emerge as a leading distribution platform in the AI space. He discusses the implications of regulatory challenges and the importance of strategic positioning for startups. This segment provides insights into how companies can navigate the evolving landscape of AI distribution.
"does. Yeah. Yeah. I think that's right. Or or they're Yeah. Or they're very generous. Right. And this doesn't just happen on the big platforms either. I was riffing with somebody on this and so Udemy ..."
Brian reflects on historical examples of platform success, emphasizing the importance of choosing the right platform for development. He discusses the lessons learned from the mobile era and the rise of Facebook, stressing that startups must make informed decisions about where to invest their resources to maximize distribution and engagement.
"on how you play the game, right? If you're a later stage company, you probably have the resources to not have to bet on a winner. Can kind of bets then things out. You can make multiple moves at once...."
Brian reflects on historical examples of platform success, emphasizing the importance of choosing the right platform for development. He discusses the lessons learned from the mobile era and the rise of Facebook, advising startups to focus on platforms with strong retention and engagement metrics. This segment serves as a guide for entrepreneurs on making strategic decisions in platform selection.
"on how you play the game, right? If you're a later stage company, you probably have the resources to not have to bet on a winner. Can kind of bets then things out. You can make multiple moves at once...."
Brian and Fareed explore the resurgence of Product-Led Growth (PLG) in the AI sector, noting how tools that enhance individual productivity are gaining traction. They discuss how these tools can achieve rapid adoption through word-of-mouth and the importance of solving core problems for users, rather than just being assistive.
"innovation. This is sticking in my head because as we talked about the incumbents are moving faster. They are copying faster. And so you have this interesting dynamic where if you believe this this la..."
Fareed Mosavat and Brian Balfour analyze the competitive landscape between startups and established companies. They discuss how the ability to gain distribution quickly is crucial for startups, especially in the AI space, where incumbents can replicate innovations rapidly. This segment underscores the significance of distribution strategies and the challenges startups face in gaining market share against faster-moving incumbents.
"really good lesson the same was true on the Facebook platform if you built some people did okay just on my space in the early days but all of those developers shifted to Facebook right and there were ..."
The conversation shifts to GitHub Copilot's market share decline, with Brian highlighting the rapid changes in the AI code editor landscape. They discuss how startups must secure distribution before incumbents can innovate, emphasizing the importance of speed in the current market. This segment provides insights into the dynamics of competition in the AI sector and the factors that contribute to a product's success or failure.
"innovation. This is sticking in my head because as we talked about the incumbents are moving faster. They are copying faster. And so you have this interesting dynamic where if you believe this this la..."
In this segment, the hosts emphasize that the winning tools in the AI market will be those that own the end-user experience. They contrast this with the previous SaaS era, where systems of record dominated, and discuss the implications for future product development and market competition.
"ago everybody would have been like, "Oh my god, GitHub Copilot, amazing product market that no way that that thing's going to collapse." My guess a year ago would have been, yeah, co-pilot plus VS Cod..."
Brian raises questions about the sustainability of Cursor's success and whether it can be disrupted. The discussion revolves around the current escape velocity of Cursor and the potential for new entrants to challenge established players in the AI space, highlighting the ongoing evolution of market dynamics.
"etc. because people are chasing productivity improvement and simplicity and awesomeness and they'll just jump to it and it's swappable like I think the next cursor could beat cursor also in a year whi..."
Brian and Fareed explore the significance of user experience in the adoption of AI tools. They argue that products that solve primary work challenges for users are more likely to succeed, even if they are not team-based solutions. This segment discusses the shift towards individual adoption and the implications for product-led growth (PLG) strategies in the AI market.
"thing. I mean, they use other people's models, right? If it's a UX thing, if it's something else. But I think you're exactly right that and and this is riffing on another article that we shared with e..."
The episode wraps up with a focus on the importance of real-time customer feedback in maintaining a competitive edge. Brian introduces Reforge Insights as a tool designed to streamline feedback collection and analysis, emphasizing its role in helping companies prioritize actionable insights and improve their offerings.
"moes there? I don't know. Like well they're they're working on they're working on an agent platform too. So I imagine they're working on a so I imagine there's going to be some similar dynamics to wha..."
The discussion turns to the concept of moats in the AI industry, with Brian asserting that while speed is crucial, long-term advantages are necessary for sustained success. They reflect on the current state of AI startups and the potential for disruption, emphasizing that the window for new entrants is smaller than in previous cycles. This segment highlights the balance between innovation speed and building a competitive advantage.
"it's exciting to see that because I think it means better products for people. Yeah. I'm interested just poking on the the cursor 2.0. Can somebody come and disrupt a cursor just as fast? In cursor's ..."
In the closing remarks, Brian emphasizes the importance of real-time customer feedback for startups to outmaneuver competitors. He introduces Reforge Insights as a tool that aggregates customer feedback to identify key issues and opportunities. This segment wraps up the episode by reinforcing the value of data-driven decision-making in navigating the competitive landscape of AI distribution.
"that's a wrap on today's deep dive into AI distribution dynamics. If you enjoyed the episode, let us know. Give us a shout out on LinkedIn or leave us a review. It's super helpful for us to know what'..."