The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
shows 




every show 44 of 44
Dixon: a16z Crypto currently holds 94% of all historical investments
“Throughout the lifetime of the crypto funds, we could, we today hold 94% of our investments.”
Dixon: AI companies closed models for defensibility, not safety
“They said this was for safety reasons. I think it just happened to be very good for their defensibility. I don't believe the safety thing”
Dixon: Interest rates and macro factors are irrelevant to early-stage VC
“People talk about interest rates. I don't think it's relevant to early stage venture capital, because again, it's like any exit would be 10 years away. And fundamentally to get there, it's just so much more Driven by the quality of the team and the ideas than …”
Dixon: Most mainstream news coverage of crypto is factually incorrect
“I think, for example, on the crypto blockchain stuff, like most mainstream news coverage is just factually incorrect.”
Dixon: Crypto's success is inevitable; only timing remains uncertain
“I think the interesting question to me is not whether something like crypto blockchain will work. I don't think it's a question. I think it's a question of, the timing is a question as it is, as it was with AI and other things”
Dixon: Only ~1,000 Google employees build cutting-edge products
“Google has 300,000 employees or something. The vast majority are doing customer service, product management. They're maintaining old products. They're doing bureaucratic, you know, PowerPoints, arguing over politics. I don't know what they do, but like, I bet …”
Dixon: Meme coins are utterly stupid and have no purpose by design
“You know, meme coin is just an utterly stupid Token. It has no purpose by design.”
Dixon: Regulating open-source AI will entrench Big Five tech giants
“The obvious thing that's gonna happen if they do put regulations around this is just further entrench the power of the big five companies.”
Dixon: Google and Facebook will become low-growth legacy giants like IBM
“I think they're very likely going to become like IBM and HP and just chugging along and not really doing much new innovative stuff. They'll still be around and they'll still have their services, but I think that their relevance and growth are limited.”
Dixon: a16z owns less than 5% of most Web3 networks
“Generally what we own, contrary to Jack Dorsey and others saying that we own web three, we generally own sub five percent of most of these networks.”
Dixon: Web3 payouts will pass Web2 payouts in next couple years
“I believe we'll see in the next couple of years, web three payouts past web two payouts.”
Dixon: Decentralized blockchain communities will build tomorrow's social networks
“A lot of the thesis we have with crypto blockchain is that a similar thing will happen with internet services in the same way that almost all software today is made by a group, a community of people who get together and build something. We think the same thing…”
Dixon: Bitcoin is too eccentric to scale to billions of users
“I think Bitcoin's important, but I think a little too eccentric for the billions of people kind of scale.”
Dixon: eSports growth will relegate physical sports to a niche like horseback riding
“I think we're in this hockey stick right now with eSports. Like video games, it's just gonna be obvious that like, it's gonna seem, I mean, I think it's always great that people play physical sports, I'm not anti, but you know, it'll be like horseback riding, …”
Dixon: Token Models Will Become the Dominant Internet Business Model
“And we've now discovered this great business model, which I think will be the dominant business model of the internet and is the true kind of native business model of networks.”
Dixon: VR is the most social computing medium ever created
“From the inside, I think it's the most social computing medium that's ever existed.”
Dixon: Apple has not released a successful product since the iPhone
“And thus far, they haven't released really much of anything that's worked since the iPhone. So I guess we'll see how they do in VR.”
Dixon: Sugar will be the biggest killer of this generation
“Sugar is the new smoking. It's going to you know, kill, it's going to be by far the biggest killer of this generation.”
Dixon: Active on-chain app users range between 40M and 70M
“That we put between 40 and seventy million. There's a bar there because it's, we have to get rid of bots and other things, but It's definitely been growing. And that's like monthly active users of apps.”
Dixon: JPMorgan Chase Has 1,500 Employees Working on Blockchain Projects
“Chase, I think Jamie, Jamie Dimon talks trash, but I believe they have 1500 people on blockchain projects.”
Dixon: Silicon Valley underestimates brand equity and consumer inertia
“I've always suspected in tech, we, in Silicon Valley, kind of, we underestimate the power of just kind of brands and consumer inertia, and I think you're sort of seeing that today with ChatGPT of just like such a Household name, like overnight almost that even…”
Dixon: Modern software network effects are externalized to the web ecosystem
“Maybe a lot of the network effect has been externalized to the internet, right? And so the idea being, you know, your cursor, and then suddenly all of the, you know, it becomes popular or, you know, mid journey, let's say, right? And then you get all of these,…”
Dixon: Raising massive capital creates a defensive moat in AI
“The capital effects in AI, right? You do well, you raise the most money. I, you know, I assume the people raising a billion have already, you know, proven a bunch of things, and at some point the capital becomes a moat, right?”
Dixon: AI will continue scaling exponentially like semiconductors
“I think my sense is AI is in that kind of, you know, semiconductor like place where you have this meta process that's very likely to continue scaling exponentially for a very long time.”
Dixon: California AI bill would have effectively killed open source
“California had a bill that would have created unlimited downstream liability for software developers, which would have effectively killed open source.”
Dixon: Next-best open AI models in 5 years will suffice for startups
“You know, the next best model in five years will probably be good enough. For most startups, it will probably be good enough.”
Dixon: Monthly stablecoin volume reached around $2T, surpassing Visa
“So like last month, it was something like two trillion in stable coin volume, which is more than trillion with a T, which is more than Visa.”
Dixon: AI agents will autonomously exchange blockchain micropayments within two years
“You imagine a world, which I think we're headed to pretty soon, in a couple of years, we have all these different AI agents running around... And then you sort of imagine other agents coming along and negotiating and, you know, pennies getting transferred back…”
Dixon: Crypto suffers a startup talent shortage and is undercompeted versus AI
“I think that the crypto space right now, the real shortage we have is startup talent in that there's a lot of obvious good ideas where there just aren't many people pursuing it. So I think it's actually the opposite problem than most, like, than you might have…”
Dixon: Blockchains solve political trust problems preventing bank coordination
“There's a lot of interest from the banks to think about ways to use blockchains to create essentially marketplaces there, you know, maybe permissioned marketplaces where only kind of certain participants can participate. For them, the benefit is, you know, why…”
Dixon: Blockchains solve coordination problems whereas AI solves intelligence problems
“If AI, you know, is solving all the problems in the world that, that they need more intelligence, right? Blockchains try to solve the problems in the world that need more coordination or more, you know, kind of collective collective action, getting a bunch of,…”
Dixon: Monthly stablecoin volume has reached trillions, surpassing Visa
“For those tracking it, like, stablecoins have grown dramatically in usage. It's now in the trillions of dollars, you know, higher than Visa per month.”
Dixon: People will make AI-generated feature films within two years
“In two years, you'll have people making feature-length films.”
Dixon: ChatGPT effectively one-boxes the entire internet, ending referral traffic
“In that framework, you can think of AI, like ChatGPT, as sort of one-boxing the whole internet, right? It's just like, it gives you the answer. You don't need to click through, right?”
Dixon: It is better to miss a category than back second place
“It's better to miss the category than to get the steak knives in my view. Just don't, just miss it.”
Dixon: Monthly Stablecoin Volume Hit $2 Trillion, Surpassing Visa
“So like last month, it was something like two trillion in stable coin volume, which is more than trillion with a T, which is more than Visa.”
Dixon: AI Agents Will Conduct Automated Blockchain Micropayments Within Years
“So like watch MCP I would expect would have down the road a payment standard, right? And AI agents. So you imagine a world, which I think we're headed to pretty soon in a couple of years, we have all these different AI agents running around... And pennies gett…”
Dixon: Crypto has a shortage of startup talent and is under-competed
“I think that the crypto space right now, the real shortage we have is startup talent in that there's a lot of obvious good ideas where there just aren't many people pursuing it. So I think it's actually the opposite problem than most, like, then you might have…”
Dixon: Blockchain infrastructure is mature enough and no longer an excuse
“I think blockchains, I think we no longer have infrastructure as an excuse anymore. Like now it's about building applications, about getting regulatory clarity. And I think we're pretty far along there. I think we have a long way to go fully exploring kind of …”
Dixon: AI will consolidate internet traffic into 3 to 5 major systems
“That's probably where we're headed is a world where you have sort of Five big systems, let's call it, you know, three to five big AI systems, you go to their websites, they give you an answer, and you don't, and so what happens to the billion other websites if…”
Dixon: Crypto incentives solve the network effect cold-start problem
“One way to think, one sort of simple heuristic is anywhere where there's a, where you want to build a network, and it's a challenge to sort of build the early phases of the network, crypto can be a really useful way to help, ah, bootstrap that.”
Dixon: Top consumer AI products like ChatGPT and Claude lack network effects
“So in consumer, right now at least, I don't think you see a lot of network effect businesses, right? So, like as successful as these you know, these, the clods and chat GPTs are, I don't think they have a network effect.”
Dixon: Bitcoin could not have existed prior to social networking
“Bitcoin is something that couldn't have existed before social networking”
Dixon: Audible and publishers completely ban authors using AI voice narration
“I wrote my book. I wanted to have my own voice use AI to read the book, using my own voice. Both the publisher and the, and Audible, the podcasting platform, ban AI completely.”
Dixon: No top App Store apps were created in the last decade
“Go look at the top apps in the app store. And none of those services were created in the last 10 years.”
Dixon: Centralized platforms inevitably shift from attracting creators to extracting value
“These networks have a set of shifting incentives where when they start off, They're solicitous to software developers, creators. They have to be their startup. But over time, as they gain power and the network effects kick in, they start to extract.”
Dixon: Blockchains combine protocol network rights with corporate network capabilities
“So blockchain is the best of both worlds. So you get the societal benefits of protocol networks where users and software developers and creators have rights and agency and economic benefits, but you also can do a lot of the advanced things that led corporate n…”
Dixon: Had RSS won, $150B would have flowed to internet users
“Social networks made last year, one hundred and fifty billion dollars. Had RSS won, and you had an architecture with no gatekeeper, I think it's credible to think that hundred and fifty billion dollars would instead flow to the edges of the network.”