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The Current State of Consumer AI

a16z Editorial Partner Elena Burger sits down with investing partners Olivia Moore and Josh Elman to unpack the seventh edition of a16z’s Top 100 Consumer AI Apps, including a new dimension this time: what consumers are actually paying for. The data reveals a striking power-user economy. Only a small share of consumers currently pay for AI, but among those who do, spending is heavily concentrated at the top. Olivia and Josh discuss why developers, creators, and other power users dominate spending today, and why subscriptions may not be the business model that ultimately brings consumer AI to everyone. They also dig into the rise of personal agents, the different trajectories of ChatGPT, Claude, and Gemini, how ads could reshape AI economics, and the enormous amount of consumer white space still left to build, from shopping and entertainment to social, dating, and marketplaces. Timestamps: 00:00 - Intro 00:56 - Inside the 7th edition 05:55 - Muse and Instinct's launch numbers 09:14 - The privacy wall for personal agents 14:39 - 4.5% pay, $903/month at the top 20:20 - Why subscription is the wrong model 23:51 - OpenAI's $1B ad run rate 29:21 - ChatGPT vs Claude vs Gemini 32:30 - Where creative tools still win 45:12 - The white space: dating, shopping, entertainment Resources: Follow Olivia Moore: https://x.com/omooretweets Follow Josh Elman: https://x.com/joshelman Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Show on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Show on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

Elena BurgerhostJosh ElmanguestOlivia Mooreguest
Oct 5, 202649mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:00 – 0:56

    Intro

    1. EB

      The most interesting big new trend is in personal agents

    2. JE

      We're in this world where we're so excited by what ChatGPT did with turning things into conversation, and now these agents we can get in our messaging apps that turn them into more conversation. There's this incredible paradigm

    3. OM

      About half of Americans report using AI. Around 4.5% of US consumers are paying a subscription to an AI product. The top 1% user is spending $903 per month personally on their personal credit cards on AI.

    4. JE

      The reality is people are now building software. They're building these really rich products. They might be using their agents to write some of that code, but when they're delivering this whole experience to a user, it is much more than just a shim on the model.

    5. EB

      Run rate that OpenAI has reached through advertising, what does that tell us?

    6. OM

      That would previously take a company years and years and years to get to, even after launching an ads product. What I'm fascinated to see in terms of the evolution of the ads product is

  2. 0:56 – 5:55

    Inside the 7th edition

    1. EB

      Welcome to the a16z podcast. I'm Elena Burger, and I'm joined by Olivia Moore, who's the author of our ongoing Top 100 Consumer AI Apps report, and Josh Elman on our consumer team. Today, we're digging into the seventh edition of this report, who's paying for AI, why the big assistants are heading in different directions, and whether personal agents can turn everyday errands into the next big consumer business. Team, thanks so much for joining. Um

    2. JE

      Thanks so much for having us.

    3. EB

      Olivia, let's just get right into it. I would love to hear, uh, your top takeaways from this report.

    4. OM

      Yeah. So this is the seventh time we've done this list. The very first time, we only ranked all global websites that were AI native by just traffic, like hits on the website. Uh, and that worked then because the way that almost everyone was using AI was, like, a prompt box product in a browser. We've had to evolve that a lot over the last few years as AI expands, so this list is our most expansive yet. Um, we added revenue data for the first time, so we worked with the Abitdata to get specifically consumer card spend data, so not accounting for enterprises or SMBs, uh, and we ranked products by what consumers are actually paying for. I think for me, the biggest takeaways from this report is on a traffic basis, it looks like a lot of these products are kind of settling. Um, we only had 11 new products across the web and mobile list combined, which is the least we've had in every, uh, in any of the prior editions of this series. But the spend data really introduced a lot of new variables because-

    5. EB

      Hmm

    6. OM

      ... of those 50 that ranked for spend, 29 of them were not on either traffic list.

    7. EB

      Hmm.

    8. OM

      Um, and that also, I think, kind of works towards or connects into the other big conclusion of the report, which is just how much of a power user game consumer AI is right now.

    9. EB

      Yeah. Yeah. That's something that's funny. We, we also recently released our State of Markets, and something that Sarah Wang actually commented directly on, um, is she, she said, "Hey, there, there's such a power law game happening now. It's happening at the enterprise level, and it's happening at the consumer level." Um, so, uh, one thing that's probably notable is, yeah, we have the fewest number of newcomers on this list, and it seems like the space is ossifying. But I think the past few months, things have actually been picking up a little bit more, and I think, I think the most interesting big new trend is in personal agents. Um, so what are you seeing? What are the big shifts that are happening?

    10. OM

      Yeah. It's funny, the last report that we did, um, it ended right before the cutoff of when OpenClaw traffic would come in. So we had done kind of like a retro before we published the report, and we had found that it would have been very high up in the rankings. Um, and this time, actually, OpenClaw is nowhere in the rankings because-

    11. EB

      Hmm

    12. OM

      ... the traffic has completely declined as... I'm-- I think that the team was acquired by OpenAI, so they're probably working on, you know, the agent assistant products there. But also, it's kind of been overtaken, I think, by some of the both other attempts at prosumer agents like GrokBot, um, Town has some fantastic agents, Dots now by OpenAI, which is new. Um, but also on the consumer side, we're finally seeing things that I would feel comfortable giving to a family member and telling them-

    13. EB

      Mm-hmm

    14. OM

      ... that they can safely use. Most of those also because, to your point, this consumer assistant trend has literally been the last three weeks to a month. A lot of those didn't appear, uh, on the ranks yet, but we did pull the data to see what's happening with them, and it's been, um, very, very fast growth and yet still not quite reaching the mainstream user is what I would say.

    15. JE

      You know, I think we're in this really interesting era that did really change at the end of last year, beginning of this year with OpenClaw, that AI went from something that we were using as a tool to enhance our productivity, to maybe search for us faster, something that would actually get things done for us. And I think OpenClaw was an incredible pioneer to do this, and I know they're still doing a lot of work through their open source-

    16. EB

      Yeah

    17. JE

      ... foundation to continue to advance that. But it really turned a lot of heads on, "Wait, what can these products actually be?" And we were seeing people buying Mac Minis. We were seeing people-

    18. EB

      Heck

    19. JE

      ... to like run all their own data with their own local OpenClaw, and there was a huge run on that. But it was really inspiring to kind of feel this new energy of what is possible. And, you know, like most trends, you know, that spark happens. It takes a little while for those first products to get built. It takes a little while for the momentum to then start getting those even released in the market for users to see them. And so, you know, in some ways, though, this report is showing Like, that's what we're talking a lot about, you know, on our podcast in Silicon Valley. But this really does a great job representing what's happening in the broader world, and, and that, you know, I do think the truth is [chuckles] AI really is showing up everywhere. Even if there's not a lot of new entrants, all the entrants are all getting so much bigger.

    20. OM

      Yeah.

    21. EB

      Yeah.

  3. 5:55 – 9:14

    Muse and Instinct's launch numbers

    1. OM

      I think probably the biggest things on... When we talk about pure consumer assistance, uh, the biggest developments have been Muse and Instinct, I would say. Although there's many other fantastic products that we kinda list in the report that have also... You know, Poke was a very early pioneer here.

    2. JE

      They were a pioneer of this, yeah.

    3. OM

      Exactly. Tomo is-- it has a very big audience and is doing incredibly well.

    4. JE

      Yeah.

    5. OM

      Um, Instinct had announced, like, 100,000 users growing 10% day over day. Uh, they'd announced, like, 40% of users connected a credit card in the first three weeks, and they were spending, you know, over $1,000 on average in their first month. Um, Muse is interesting because, uh, in many ways, very successful launch, especially within the tech community. I think the number was, like, 500,000 downloads and 250,000-

    6. JE

      Yeah

    7. OM

      ... active users in the first 12 days or so. But if you look at it versus Threads [chuckles]

    8. EB

      [chuckles]

    9. OM

      ... which was another, you know, somewhat recent big, splashy Meta launch, um, it just p- it still pales in comparison-

    10. EB

      Mm

    11. OM

      ... uh, in terms of appeal to the average person who doesn't work in tech. Yeah, so if you look at the, the downloads, um, Muse is still only US and Canada, so we grabbed the Threads US and Canada downloads only.

    12. EB

      Mm-hmm.

    13. OM

      In the first 22 days or so, Threads had had about 16 million downloads, and Muse is still sitting around five million-

    14. EB

      Interesting

    15. OM

      ... over that same time period.

    16. EB

      Is the distribution mechanism different? Like, I remember with Threads, y- it was already tied to your Instagram account-

    17. OM

      Yes

    18. EB

      ... and there was kind of this, like, very natural distribution. Is... Are they trying a similar strategy with Muse, or is it just a different distribution strategy too?

    19. OM

      I mean, from... I'd be curious what Josh thinks. But from my point of view, it's not as aggressive, for sure. Uh, and also part of that is because there's a much higher cost to serve these users-

    20. EB

      Yeah. Yeah

    21. OM

      ... so they don't want it to get too big too fast.

    22. JE

      Well, and, and I also think Threads very much had a critical mass effect, which is if they didn't get a lot of people on it communicating quickly, you don't actually get to that leverage of a new network starting to form.

    23. EB

      Yeah.

    24. JE

      'Cause Muse is still such a personal tool that, you know, they're pushing it and they're-- it's very exciting to kinda even see this early just adoption and people having these experiences. And again, if you were using OpenClown in January, you were having incredible experiences-

    25. OM

      Yeah

    26. JE

      ... of using Grok Bot when that first launched earlier this summer or spring, you were having these incredible experiences, and now we're seeing, as, you know, I think Olivia said, you know, our moms, our families, you know, people who don't just live on the tech what's-next-in-AI cycle. And I think that's what's really exciting about this consumer. I, I assume when we do this again next time, we're gonna see massive adoption.

    27. OM

      Yes.

    28. JE

      But I think it hasn't needed to push as hard to have that early network effect. But then I also think about what's gonna make these things stick around for a long time, and it is gonna be things like network effects and marketplaces, and all the businesses you can interact with those agents.

    29. OM

      Yeah.

    30. JE

      That's gonna be really transformative too.

  4. 9:14 – 14:39

    The privacy wall for personal agents

    1. OM

      Exactly, yes.

    2. JE

      Yeah.

    3. OM

      Um, I d- I still don't feel like any of the assistant products have unlocked person-to-person network effects.

    4. EB

      Mm-hmm. Yeah.

    5. OM

      And part of this for me is, like, this software knows us more intimately than any other product in the past, based on email, but also, like, I find myself telling extremely personal things to my AI. And so there's kind of this natural, um, tension between the more useful the product is to you as the consumer, the more it knows about you, and, like, then do you really wanna introduce that into other contexts with other people? It's the same thing as, like, many people have a separate ChatGPT work account and personal account, and no one has quite cracked that yet.

    6. EB

      Mm-hmm.

    7. JE

      No, and I think, you know, as we talk about consumers and AI privacy, safety, security are becoming more and more important. I mean, there's obviously the overall trends of, you know, trust in AI and, and this kind of belief that AI is good for the world, that is in some ways, you know, affecting adoption and affecting some of the excitement around these products. But on a very personal level, if you don't trust the thing that you're giving it your most intimate access to your email or your life or your credit card, and it might do rogue things that you wouldn't expect or share things with other people you wouldn't expect, you know, that's gonna be the biggest impingement on these things really growing as, as massive consumer apps. So it's a... We're in a fascinating time where we're all learning these new norms, and these are norms that, like, as people, we're actually very good at it. We're very good at knowing what information we're comfortable sharing, what information if somebody gives it to us, what information that we're trusted to be able to pass on to somebody or should be protecting and keeping ourselves, and we're just, like, all of a sudden expecting software to do this too? It's a, it's a very, you know, interesting new set of things we're learning.

    8. EB

      Yeah. Well, you, th- you both just brought up, like, two interesting sort of facets of this. One is, like, there's this endogenous force, which is all of the platforms and how they allow agents to interact with them, and then there's more, like, this exogenous force of, like, how, how comfortable am I using this and, and how... And maybe I mixed up endogenous and exogenous. [chuckles]

    9. OM

      [chuckles]

    10. EB

      One is on the outside and one is on the inside.

    11. OM

      We knew what you meant. Yeah.

    12. EB

      One is, one is what the platforms are doing, and one is how you feel about it.

    13. OM

      Yeah. Yeah.

    14. EB

      Or how you feel about the agent.

    15. OM

      Yeah.

    16. EB

      And I, I'm curious, which, which do you think, um, is going to get resolved sooner and, and Whose, like, uh, whose onus is that? Like, whose, whose responsibility-

    17. OM

      Yeah

    18. EB

      ... is resolving those kinds of questions?

    19. OM

      I think what the platforms are capable of is improving faster than true consumer willingness to use them, um, which we've seen kind of throughout AI so far. It's interesting 'cause a lot of people are, like, seeing these numbers that founders of these assistant products are posting that it costs, like, hundreds or thousands of dollars a month to serve a user, and like, how is that possible? Um, and I was stumped as well, but I, uh, have been working with David Paulown, who runs Assistant Benchmark-

    20. EB

      Mm-hmm

    21. OM

      ... who's fantastic. So he-

    22. JE

      We did a recent podcast with him.

    23. OM

      Yes.

    24. EB

      Yeah.

    25. OM

      He's great.

    26. EB

      Great podcast.

    27. OM

      So basically what he's done is he's created a website where they track, I think, over 170 agents. I checked it last night, it's probably, like, 200-something this morning. Um, and they, he has users kind of use them and then rank them on success on different tasks. But the other really interesting thing that he does is he hosts kind of group chats and communities of early adopters of these agents, so he has a group of, I think it's 1,500-plus users. And he pulled some cool data for us, which is like, what are they doing with agents? What are they talking about doing with agents? And the vast majority, still the number one use case, was coding and technical automation, even for these consumer assistant products like-

    28. EB

      Interesting

    29. OM

      ... like Muse and Instinct.

    30. EB

      Yeah.

  5. 14:39 – 20:20

    4.5% pay, $903/month at the top

    1. OM

      Yeah. If you look at broad usage data now, about half of Americans report using AI, and about 25% of Americans think they're interacting with AI probably on close to a daily basis. Uh, but the spending data is much more concentrated.

    2. EB

      Mm-hmm.

    3. OM

      So it depends on the source. Um, our Yippit panel shows probably sub 5%, around 4.5% of US consumers are s- paying a subscription to an AI product. Some other sources say as low as 2 or 2.5 or maybe a little bit higher. It is expanding, so that's, like, doubled from a year ago. Um, but it, that spend is still extremely concentrated. [chuckles] So even within that top 4.5% of people who do spend, the top 10% of those are, like, more than half of the revenue, and the top 1% are 20% of the revenue, whereas the bottom 50% are, like, 16%, right?

    4. JE

      Yeah.

    5. OM

      So, like, the top 10% of users are driving this market. This was the other interesting thing about revenue data is we were able to look at it kind of, like, on a almost person-by-person basis, what it looks like, who are these people who are spending on AI.

    6. EB

      Mm-hmm.

    7. OM

      The top 1% user is spending $903 per month personally on their personal credit cards on AI.

    8. JE

      Wow.

    9. EB

      Wow.

    10. OM

      And the median is spending $25. And again, all of this is within the, only the 4.5% that are spending at all. Yippit also was helpful for us because we could see what products are they actually spending on-

    11. EB

      Mm-hmm

    12. OM

      ... like on a, on, on a personal basis. And probably unsurprisingly, it was mostly developer tools, um, productivity tools, creative tools, things used to, like, build, make, sell.

    13. EB

      Mm-hmm.

    14. OM

      Um, things like n8n, Granola, Higgs Field, Manus, those all were way overrepresented amongst the top spenders.

    15. JE

      I mean, in a way, this is actually really cool. I mean, even though these numbers aren't everybody yet, like, we're enabling this whole new generation of makers, of people who are, you know, not just using this for work, but actually using their personal credit cards to code things they, they never coded before-

    16. OM

      Yes

    17. JE

      ... to make art, make videos, make content, and, you know, really have this power of making. And so it's actually, in some ways, you know, while it's all still so early, it's actually really cool how much making is going on-

    18. OM

      Yes

    19. JE

      ... that people are actually so excited they're willing to spend. I mean, if you're spending $900 a month-

    20. OM

      Yeah

    21. JE

      ... on a set of AI tools, you're really using that to, like, hopefully make things faster, better, have more ideas in your head coming to life than ever before.

    22. OM

      Yeah.

    23. EB

      Yeah.

    24. JE

      So that's kind of like when I, when I was looking at these categories between creativity and coding, like, you know, that's actually hopefully really, really powerful.

    25. OM

      Yeah.

    26. EB

      Yeah. Well, I th- I, I think this is a point that's really important, which is I think developers and coders are people who are naturally attuned to sort of ask, "How do I get leverage over this thing?"

    27. OM

      Yeah.

    28. EB

      "How do I build a product that allows me to get leverage over my time?" And AI obviously supercharges that. But it's, it is a specific kind of mindset, I think, and it's a specific kind of worldview, and I think, uh, th- part of, part of-

    29. OM

      My understanding of these numbers is it's still a worldview that gets reflected only among a small, smaller group of people, and the question might be just like how do you expand that worldview?

    30. JE

      Yeah.

  6. 20:20 – 23:51

    Why subscription is the wrong model

    1. JE

      this list.

    2. OM

      Um, I actually don't necessarily wanna see that 4.5% of people paying for AI products directly expand.

    3. JE

      Mm-hmm.

    4. OM

      Which is maybe controversial because I'm like invest in consumer AI products-

    5. JE

      [chuckles] Okay

    6. OM

      ... and I'm a consumer AI maximalist. But the reason I say that is because substantially all of the consumer AI revenue thus far has come from direct subscriptions.

    7. JE

      Yeah.

    8. OM

      Um, like on this list, we looked and it was like, you know, 85% or something of our web list monetized via subscriptions. Another 62% monetized via kind of credits or token extra usage payments. Only like 13% had ads or other options where like you are the product instead of paying for the product. And that's like a... If you look back at the history of the consumer internet, that's like a pretty unnatural inversion. Like almost-

    9. JE

      Yeah

    10. OM

      ... all of the really big consumer technology companies that we have now make the vast majority of their revenue from ads-

    11. JE

      Mm-hmm

    12. OM

      ... or from transaction fees, not from subscriptions. Because I think the truth of it is most similar to the fact that not everyone is looking for a coding tool to help them-

    13. JE

      Mm-hmm

    14. OM

      ... you know, start a business or, or create and sell a product. Most people don't have the funds or don't want to spend their funds on software. If you look at the top 20 consumer, uh, subscription products globally, ChatGPT is already on there.

    15. JE

      Mm-hmm.

    16. OM

      Which is crazy in like three and a half years of growth.

    17. JE

      Yeah.

    18. OM

      Almost all the other ones are media companies-

    19. JE

      Mm

    20. OM

      ... or big platforms like Amazon or even Uber, things like that, uh, where you have a very frequent purchase behavior. So I actually am a big believer that we need to move... We have transcended the need for everyone to buy a subscription to AI, and we need to see these other business models come back.

    21. JE

      You know, I think we're, we're still at the early days of inference costs coming down. We're still at the early days of people finding ways to run lower cost models to build great products. And as they do that, you know, a lot of the other business models that have always been on the internet from, you know, transaction fees and ads will finally start working. But we, we need that to happen, and that's, I think, where we're still... You know, there's so much learning and, and so, so much that like, "Well, if it's gonna cost me a lot to serve, at least let me just charge money so that people pay for it," became sort of an early default.

    22. OM

      Yes.

    23. JE

      Yeah.

    24. OM

      I mean, you can probably speak to this from seeing many prior eras of the consumer internet, but like it used to be, at least for me as a consumer investor, if a company was making money in the first five years, it was like, "Whoa."

    25. JE

      [chuckles]

    26. OM

      "What's happening?"

    27. JE

      Yeah.

    28. OM

      The, the rule was like, let's build density of users, and because they cost near zero to serve, we can then wait and make money via ads or start charging for transactions once we have liquidity and density, and that just isn't the case given how high cogs are.

    29. JE

      No, I think, I think this cost thing is a, is a really interesting challenge, and companies get afraid of growing too fast.

    30. OM

      Yeah.

  7. 23:51 – 29:21

    OpenAI's $1B ad run rate

    1. JE

      too.

    2. EB

      I think this is a, a great transition to talk about ads.

    3. OM

      Yeah.

    4. EB

      Your, uh, consumer, uh, top 100 report had a really, really interesting fact in there, which was the run rate that OpenAI has reached through advertising.

    5. OM

      Yeah.

    6. EB

      They're at a billion dollars now-

    7. OM

      Yeah

    8. EB

      ... in, in annual run rate on-

    9. OM

      Yeah

    10. EB

      ... on advertising, and what does that tell us, you know?

    11. OM

      Again, the number was from August, and so there's probably a chance that it's reasonably higher-

    12. EB

      Yeah

    13. OM

      ... even a month or so later.

    14. EB

      Yeah.

    15. OM

      But they have been very slowly, I would say, rolling out ads, um, with kind of a network of partners. And they're already at, you know, a billion. [chuckles]

    16. EB

      Yeah.

    17. OM

      A billion in, in annualized run rate. Like, that would previously take a company years and years and years to get to, even after launching an ads product. I think there's two interesting things there. One, they have real density now. So I think the last reported number a few days ago was 1.2 billion weekly active users-

    18. JE

      That's right

    19. OM

      ... which is, like, a real density. And then the second thing, and what I'm fascinated to see in terms of the evolution of the ads product, is hypothetically, they should be able to charge more and have higher conversion rates because they just know so much more about you as the user. And ChatGPT has launched things like login with ChatGPT, I think a wallet is coming, things like that. And so you could imagine that, um, it becomes a, a much more compelling value prop for the advertisers, and then that just, like, juices the ad business even more. Uh, but we'll see. It's very early days there.

    20. JE

      It's early days, and I think, you know, there have been some really funny conversations about ads and AI. If you are talking to this incredibly personal thing-

    21. OM

      Yeah

    22. JE

      ... and then it's like, "Let me tell you about health, and let me introduce you to this, like, crazy product that can help you-"

    23. OM

      [chuckles] Yeah.

    24. JE

      "... you know, lose weight fast." Like, that's not building trust with AI.

    25. OM

      Yeah.

    26. JE

      And so I think the other really interesting thing is, like, how do we as a ecosystem, these products are so different. They're so much more personal than ever before. They're giving you answers that are custom-tailored to what you're doing and what you're asking about and what it knows about you, that actually introducing ads has been done very deftly. I've actually been really impressed-

    27. OM

      Yeah

    28. JE

      ... with the OpenAI rollout of ads.

    29. OM

      Yeah.

    30. JE

      When I've actually ever seen an ad, it's, it's very clearly labeled, and it actually feels like pa- uh, a natural add to the conversation that I'm having.

  8. 29:21 – 32:30

    ChatGPT vs Claude vs Gemini

    1. EB

      Yeah. Is it, is it worth talking and taking a step back and talking about, uh, OpenAI Anthropic-

    2. OM

      Yeah

    3. EB

      ... and Gemini and, and sort of these of, these are companies, these are labs that have been on the list pretty much since the beginning. Um, are we seeing any kind of evolution in, in the way people are paying for these products? Um, what can we surmise about the different kinds of users of all three? Uh, super, super curious what you're, what you're seeing.

    4. OM

      Yeah, absolutely. Um, from the very first time we did this report, the main conclusion was, like, ChatGPT is the dominant global user by both usage and revenue on the consumer side. That continues to be true. Everything below ChatGPT has seen, I think, more movements and more shakeups. So ChatGPT is now ahead of Claude, um, around 6X on the web, around 2X, uh, ahead of Gemini on the web. Probably going forward, given a lot of the usage is concentrated in these power users who are paying, um, the revenue numbers could be even more useful here. Um, and probably that's one of the biggest surprises to me in this report was we got a panel of US spenders, and Claude has actually passed Gemini in terms of number of paid subscribers, which is kind of crazy given Gemini has a much bigger install base and user base overall, and it also has, like, the natural distribution mechanism of something like a Google. I think that's a big, you know, accomplishment, of course, for Anthropic. I think it's come on the wave of a bunch of very successful products that they've launched over the last few months, like Claude Design. Uh, it's also come from a lot more press that they've had, starting with the Department of War stuff all the way back in, I think it was February. Um, the other main difference, I would say, in how these products are monetizing, and again, ChatGPT still far in the lead by monetization. They have around three times more paid consumer subscribers in the US than both Gemini and Claude. Um, but Anthropic has said very famously, "No ads."

    5. EB

      Mm. Mm-hmm.

    6. OM

      So they're much more aggressive about subscription. They have around 7.5% of subscribers on the $100-plus per month, like the-

    7. EB

      Oh, right

    8. OM

      ... Max plan.

    9. EB

      The premium plan, yeah.

    10. OM

      And that's, like, 1% for both ChatGPT and Gemini, and so those users naturally look different and are doing different things on the product, even in that paid user base.

    11. EB

      Should we talk about creative tools? And-

    12. OM

      Yeah

    13. EB

      ... um, I think one thing that's interesting is actually all of the big labs have gotten really good-

    14. OM

      Yes

    15. EB

      ... at creative tools. And one thing that, that actually, like, Anthropic kind of famously abstained from but then somehow achieved anyway was, like, creating an image model or video model. But now people are making images and videos because coding is so good at creating-

    16. OM

      Yes

    17. EB

      ... like, images and videos. Um, so it's interesting that, you know, they didn't build a diffusion model, yet they're still capable of doing, uh, image gen. But, but about the, the pure creative tools-

    18. OM

      Yeah

    19. EB

      ... the, the companies that have kind of, like, verticalized in that category, what are we, what are we seeing?

  9. 32:30 – 45:12

    Where creative tools still win

    1. OM

      Creative tools is very interestingly distributed in terms of who is succeeding where. So there's a few categories of creator tools, or maybe modalities is the better term, where the labs have not focused energy and attention for many reasons we could discuss. Uh, a lot of those around audio, so, like, text-to-speech, music. ElevenLabs and Suno are now very reliably near the top of our traffic lists and are also ranked very highly in our spend list. The labs have so many things to do. They're building coding agents. They're building AGI. Does it make sense at this point for them to deal with all of the IP headaches that Suno has had to go through and launch a competing music model? I don't know. And in the meantime, Suno has been able to kind of run away with a really strong lead.

    2. EB

      And, you know, I'm a big believer that, you know, the labs are gonna do what they're gonna do, and they're gonna keep growing, and they obviously are great baselines for everything. But in so many of these markets, you're seeing really specialized products that are really focused, knowing who their audience is and what they're doing, that's able to build really custom things. You know, if you wanna make music just for fun or for something that you're really producing, Suno is an incredible tool, and it speaks to you from the moment you start using it through the end. You know, ElevenLabs, if you need voice and audio within the product that you're making, it just has a way of working and, and interacting with it that feels completely different. When you look at a bunch of the video tools, um, you know, when you look at design tools, even like Figma, like, they're so designed to, to use deeply for the thing you're trying to express yourself, and it speaks to designers, not to people who, you know, wanna just skip that step. And I think we're gonna see so much more value from these really bespoke interfaces where the software layer of all the things you can do and the things you save and the way you interact with it become really where the value sits, not just the models.

    3. OM

      Yes. So this is the second category, I think, of creative tools, which is, um, images and video-

    4. EB

      Yeah

    5. OM

      ... that looks different from audio. On images, I think to your point, like, OpenAI has really leaned into images quite successfully. Like, Images 2.0 is very, very good both for image creation and editing. And then, of course, Google with the various iterations of Nano, Banana, and Veo. I think they have candidly taken away a lot of the high-level consumer traffic that was previously going to these standalone image generators. Um, so, like, Midjourney was fairly high on our first-ever rankings.

    6. EB

      Mm.

    7. OM

      It has fallen off the traffic rankings completely. But to your point on power users, if you look at the revenue rankings, Midjourney is back. So people... The power users still want the model that they feel has taste, has an aesthetic sense, and that they're able to tune in a really specific way. Um, and then that brings us to video, which to me is kind of like a wild frontier right now because, uh, Chinese companies that can train on any data and do, uh, have a real advantage. Video is just so complex to generate with, like, the visual, the sound, the visual and the sound synced, and looking a specific way, uh, that I think, like, the more data you have to train, the better. They've been successful there thus far. Um- I think more broadly in creative tools, I'd be curious if either of you have experienced this, but I have recently been asking Astra and other really powerful models to generate or create, uh, generate or edit creative for me.

    8. EB

      Mm-hmm.

    9. OM

      And it does a very, very good job, and it will go tool call to elsewhere on the internet.

    10. EB

      Yep.

    11. OM

      And so I think that creative tools that are agent-friendly, uh, and agent-accessible are gonna increasingly see really compelling tailwinds.

    12. EB

      Yeah. Yeah. It's actually crazy what you can do if you just, like, empower an agent and just say-

    13. OM

      Yeah

    14. EB

      ... like, yeah, install whatever you want to install.

    15. OM

      Yes.

    16. EB

      Um, I had it... I actually had, uh, Astra and 5.5 go, like, head-to-head in animating some stuff for me.

    17. OM

      Yeah.

    18. EB

      And, like, it, it was just like it knew exactly what to do. It's like, yeah. So-

    19. JE

      And, and what I love about this is, you know, this is the tinkerers, the people at the edge are figuring out these capabilities, and we're gonna build products over the next-

    20. OM

      Yeah

    21. JE

      ... year that are gonna show up on these lists because they're gonna take all of this complexity of what you can do and package it up in a way that makes it really easy to use. And like, that's this-

    22. OM

      Yeah

    23. JE

      ... you know, when I think of this gap of, like, all AI versus consumer AI, it's exactly this, this movement of packaging these up and building great product experiences-

    24. EB

      Yeah

    25. JE

      ... that really turns it into, into these things that sustain.

    26. OM

      Yeah.

    27. EB

      Yeah. Yeah. And I guess it, it has to start with the tinkerers, and then they post on X.

    28. JE

      [laughs]

    29. EB

      And then, you know, six months later, we get a real, like, product and startup out of it. Or like-

    30. JE

      Yeah

  10. 45:12 – 49:33

    The white space: dating, shopping, entertainment

    1. JE

      piece.

    2. OM

      Yeah.

    3. EB

      Yeah. Um, Olivia, I think you referenced this, this chart that you made, but maybe we can bring it up, is all of the white space that still exists-

    4. OM

      Mm-hmm

    5. EB

      ... for, you know, just all the product categories that exist in Web2 and the pre-AI age, and maybe you can just-

    6. OM

      Yeah

    7. EB

      ... talk through some of these categories and, um, where are the big opportunities?

    8. OM

      Yeah. The vast majority of pure consumers are basically using AI still as a replacement for search products, things like Google. Um, maybe especially as you get into education use cases, kids are using it to write essays.

    9. JE

      [chuckles]

    10. OM

      Little bit more of an expansive use case.

    11. EB

      Homework help, not-

    12. OM

      Homework help, exactly

    13. EB

      ... not homework replacement.

    14. OM

      Yes. Or people in the workplace to write emails. But if you look at this, this chart, which will show almost all of the kind of areas where we've seen startups succeed thus far have been in and around that theme of getting things done, uh, so like productivity, photo and video design and editing, search and answers. Um, so many categories are wide open, uh, and many of those categories are, I would say, I would call them network categories, where you need a multiplayer product. Um, you know, dating is one. We haven't seen... We, there are certainly startups there that I hope and believe will make future editions of the list, but there's no one on the list doing dating now. Recruiting is another one. I think of dating and recruiting as somewhat similar-

    15. EB

      Mm-hmm. [chuckles]

    16. OM

      ... networks actually, in terms of trying to make matches. Um, social AI, we really haven't seen anything take off. Most of-

    17. EB

      No.

    18. OM

      Most of social AI is people posting AI-generated content on existing social platforms. Um, and then I think there's all of these other categories that are, look maybe more like marketplaces did, like shopping, uh, home buying, um, you know, retail. We'll have to see if those end up living in agents like Instinct or Muse or living as standalone products-

    19. JE

      The next ones.

    20. OM

      Or the next ones-

    21. JE

      No, no, no

    22. OM

      ... which there will be many, uh, or living as standalone products or perhaps a mix of both.

    23. JE

      Yeah.

    24. OM

      Perhaps your agent is calling the AI-native marketplace. Um, so I'm, I'm very excited about those things. I think also categories like gaming and entertainment, the models just have not been good enough to produce content that the average person likes to watch, which may be the exception of AI micro-dramas, which are blowing up.

    25. EB

      [chuckles]

    26. OM

      Um, but I think that is coming soon too.

    27. JE

      No, I think that's exactly right. And I just think we're in this world where, you know, uh, we're kind of like so excited by what ChatGPT did with turning things into conversation, and now these agents we can get in our messaging apps that turn them into more conversation. Like, it's this incredible paradigm. But when you're shopping, you wanna visually see options and explore and have things customized for you and be able to say, "I really like that, but I wish it had some piping on the collar"-

    28. OM

      Yeah

    29. JE

      ... or something, and actually have AI help you both realize that and maybe even get it made for you. Uh, like shopping can have so much invention there. Entertainment, I think we've barely started scratching the surface-

    30. OM

      Yeah

Episode duration: 49:47

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