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Sharp Tech · · 21 min

(Preview) A Spring Break Mailbag: RIP Sora, Ads and Surplus, F1 Going in Reverse, Elon Inc., Smartphone Parenting, and More

Andrew SharpBen Thompson

Podcast
TL;DR
  • Sora’s shutdown looks like a clean product failure but a consequential warning about AI economics. The Sora team’s farewell promised timelines for the app, API, and preserving users’ work. Sora briefly reached the top of the App Store before proving to be a “novelty,” leaving Ben to call its closure a “very bloodless killing.” OpenAI’s product instincts were defensible; the standalone social network appears not to have reached critical mass.

  • Copyright controls may have removed the feature that gave Sora its best chance of surviving. Ben argued that early interest may have come from manipulating recognizable figures and characters; without that shared cultural material, interest may have fallen sharply. Andrew saw a plausible recurring meme tool—not an Instagram rival—and Ben called the unrealized version “the greatest meme maker of all time.”

  • Cloud video generation reverses the zero-marginal-cost conditions that helped earlier social products compound. Instagram began with filters computed locally and distribution handled by the App Store, then added infrastructure as its value grew. Sora incurred heavy compute costs from day one—Andrew cited an unverified “$15 million a day” estimate—creating an “all-or-nothing scenario” before OpenAI had figured out how to make money from it.

  • OpenAI’s enterprise turn may be economically necessary even as it leaves the consumer-platform thesis untested. Ben once envisioned a roughly billion-user consumer base plus advertising creating a revenue-and-R&D flywheel, but OpenAI was late to start monetizing and “we don’t know if that would’ve worked.” Enterprise customers will pay directly for productivity, Codex is compelling, and servers must be funded—though competition with Anthropic, Microsoft, and others will be “tooth and nail.”

  • Private-company revenue disclosures obscure the OpenAI–Anthropic race more than they resolve it. Ben said reported Anthropic ARR may resemble GMV by including total customer payments, while OpenAI’s numbers reflect the amount above what goes to cloud providers. Even so, “trajectories are real”: Anthropic’s appears more vertical, while OpenAI’s absolute lead might still be larger. Andrew said both companies could go public within the next couple quarters; Ben viewed that as public-company financing working as it should.

Digest · the substance, structured for research

1. Sora went from App Store phenomenon to bloodless shutdown

  • The Sora team’s farewell promised timelines for the app, API, and preserving users’ work. Ben’s blunt question—“Did anything made with Sora matter?”—captured the gap between its launch frenzy and its eventual status as a novelty.

  • Ben noted that Sora had reached the top of the App Store before proving to be a novelty, while joking that Meta’s Vibes “won” despite his not opening it for months. His broader verdict: launching a standalone creative community was audacious because Facebook’s additional social-network launches generally failed.

  • Ben called the shutdown “a very bloodless killing,” reasoning that if no one was using the app, its disappearance would have little effect. He said Disney seemed to be the primary casualty, and Andrew noted its deal had also been rolled back. Andrew nevertheless credited OpenAI’s product instincts: Sora scared Hollywood and generated attention, but “the product itself isn’t really a business for them.”

  • Ben also raised the strategic question of whether Sora functionality should have been put into ChatGPT rather than launched as a standalone social product.

2. Copyright enforcement may have killed Sora’s strongest use case

  • Ben’s theory was that Sora’s early surge depended on users being able to animate recognizable figures—“Pikachu doing crazy things”—and that copyright crackdowns may have helped kill that interest. His larger thesis was that things people have in common will matter more and more; he pointed to live events as an extreme example of this shared cultural value.

  • Andrew thought people might still use Sora semi-regularly to enter The Matrix or remix familiar movie characters. Ben agreed that editing actual scenes could have made it “the greatest meme maker of all time.”

  • Andrew’s distinction is worth keeping: becoming a powerful meme tool was always more plausible than building a network rivaling Instagram, TikTok, or Twitter. Ben’s partial rebuttal was that heavy feature usage supplies the ingredients for a network, even if it never guarantees one.

3. Sora inverted Instagram’s low-cost path to network effects

  • Instagram began as an independently useful filter app: computation happened on the phone, Apple handled distribution, and users shared results into existing networks. It then followed the “come for the feature, stay for the network” progression, even lifting Twitter’s social graph wholesale.

  • Sora put community features in from the outset, yet most Sora videos people saw were probably viewed on other social networks. Ben wondered whether adding the social layer at launch was itself a mistake, while stressing that the vast majority of new social networks fail and joking that predicting every one will fail gives you a great track record.

  • The deeper problem was sequencing economics. Instagram’s marginal costs began “basically zero” and rose alongside its value; cloud-generated video starts expensive, before OpenAI had figured out monetization. Sora either became enormous or died within months—and even enormous usage would not have answered whether revenue exceeded costs.

4. OpenAI’s consumer flywheel was too late to test

  • Asked whether OpenAI’s enterprise pivot could coexist with consumer ambitions, Ben’s honest answer was, “I don’t know.” AI’s uncertainty—and especially its compute costs—makes assumptions imported from traditional software less reliable.

  • His prior thesis treated consumer as the ultimate prize: a defining company appears perhaps once every 15–20 years, with Facebook as the archetype. He envisioned a roughly billion-user consumer base supporting advertising, whose revenue would fund R&D and widen an “insurmountable lead.”

  • The frustration is that OpenAI was late to start monetizing, so “we don’t know if that would’ve worked.” Enterprise is now the clearest short-to-medium-term revenue source because customers pay for productivity and Codex is compelling, but there is no monopoly: OpenAI must fight Anthropic, Microsoft, and others “tooth and nail.”

5. Revenue definitions blur Anthropic’s apparent acceleration

  • Andrew contrasted OpenAI with Microsoft: Microsoft’s airtight enterprise monopoly taught consumers to use its products at work. OpenAI faces a fragmented enterprise market where several tools may coexist, and Anthropic’s share remains unknowable while both companies are private.

  • Ben said a story in The Information suggests Anthropic’s reported recurring revenue resembles GMV—the total customers pay—while OpenAI’s numbers reflect the amount above what goes to cloud providers. His Amazon analogy separated first-party retail revenue, which includes the item and its cost, from marketplace revenue, which records only Amazon’s skim.

  • Different methodologies do not erase momentum: “trajectories are real,” and Anthropic’s currently looks “more vertical,” even if OpenAI’s lead could be larger than reported comparisons imply. Andrew said both might go public within the next couple quarters; Ben welcomed that because the companies need money and said it represented the public-company concept working as it should.

Andrew Sharp

Hello, and welcome to a free preview of Sharp Tech. Hello, and welcome back to another episode of Sharp Tech. I'm Andrew Sharp, and on the other line, Ben, how are you doing?

Ben Thompson

I'm doing okay, Andrew. How are you?

Andrew Sharp

Mid-vacation. I'm good.

Ben Thompson

Well—

Andrew Sharp

It's great to be back to our roots here.

Ben Thompson

Vacation's overstating it. I've done a couple—I've done an update and an interview this week. It's a real stark contrast to you sitting on the beach a few weeks ago, completely taking the week off. Who's the grinder here? That's what I want to know.

Andrew Sharp

Look, all I can say is I did it right, and you took the weirdest, most disjointed vacation I've ever seen, but I figured in honor of that, we would keep it light tonight and go all mail today.

Ben Thompson

Everyone keeps asking me how my vacation is. I'm like, “Does this really look like a vacation?”

Andrew Sharp

It's not really a vacation. Let's just be honest. Let's call it what it is.

Ben Thompson

This is a very functional trip to Asia, and the days off are working around my travel. But I usually take a spring vacation every year, so I'm calling it a spring break. Yes, it's kind of ridiculous.

Andrew Sharp

That's right. And next year I'll be right there on the first weekend of March Madness in your basement, preventing you—

Ben Thompson

That's right.

Andrew Sharp

—from traveling anywhere next year.

Ben Thompson

We're going to do it next year.

Andrew Sharp

Well—

Ben Thompson

Yes. I was annoyed that it was the same week this year, but I've already looked. My son's spring break does not line up with March Madness next year, so we'll see what we can do.

Andrew Sharp

Oh, perfect.

Ben Thompson

This is what grinders have to do, Andrew. We have to plan like a year in advance, not like 3 hours in advance or whatever you do.

Andrew Sharp

Exactly.

Ben Thompson

So—

Andrew Sharp

A day before, I tell you, “I'm going on vacation. I'm going to be out all week. Deal with it.” But no, here we are, Ben. I gave you a couple weeks' heads-up on my vacation. At least 50% nonsense questions is the promise on this episode. We're going with a spring break mailbag today.

Before we hit mail, though, we do have to read this note at the top. A note from @soraofficialapp on Twitter: “We're saying goodbye—

Ben Thompson

Actually, I think the problem is right there. I saw one of the most devastating takedowns of a publication that I ever heard—who is it? Bob Lefsetz, the guy who writes the email newsletters about the music industry. I've referenced him before. Taylor Swift's song “Me!”—I know about him because he wrote a thing about how she can't sing.

One of the more devastating takedowns of a publication that I ever heard was when Recode went out of business. Bob Lefsetz, I think, is his name.

Andrew Sharp

Yeah.

Ben Thompson

And he's like, “It was recode.net.” If you didn't have a .com—sorry, you weren't a business.

Andrew Sharp

I don't take it seriously.

Ben Thompson

Now, I hesitate to say that to you because it is sharptechs.net.

Andrew Sharp

Right.

Ben Thompson

Which I think is fine. I'm fine with a .net. It's a top 3 sort of domain. But if you are @soraofficialapp—

Andrew Sharp

Yeah.

Ben Thompson

—as opposed to Sora, maybe you were not long for this world.

1. Sora Was Never A Business

Andrew Sharp

Well, they weren't long for this world. “We're saying goodbye to the Sora app,” was the announcement earlier this week. “To everyone who created with Sora, shared it, and built community around it, thank you. What you made with Sora mattered, and we know this news is disappointing. We'll share more soon, including timelines for the app and API and details on preserving your work. The Sora team.” What you made with Sora—

Ben Thompson

I have a question for you. Did anything made with Sora matter?

Andrew Sharp

Mattered. Fact-check on that particular statement.

Ben Thompson

That's exactly where I was going.

Andrew Sharp

At least you can pop champagne mid-spring break over there because Vibes is still alive, you know?

Ben Thompson

Look, Vibes won. Just a lot of L's all around. I think I was proven correct, although this is probably one of those things where it's like, “Congratulations, you made the most obvious call ever.”

Sora wasn't necessarily it, although it did look sketchy for a while. It was at the top of the App Store. It was ultimately proved to be a novelty. Again, this is the guy who liked Vibes and then has never looked at Vibes in months, so I really do not get to claim any sort of W here.

Andrew Sharp

You announced how much you liked Vibes about 12 hours before the entire internet was like, “This is the most antisocial product we've ever seen.” But hey, Meta has so much money that they're keeping Vibes alive, at least for the time being.

Ben Thompson

They will claim that the numbers are pretty good, which I don't believe. But yeah, Sora was kind of a—it's interesting because we talked about, or I think John and I talked about it at the time, watching this capability not in ChatGPT, but watching it as a standalone thing, with real community and social-network-type features.

Andrew Sharp

Mm-hmm.

Ben Thompson

It was pretty audacious, particularly when you look back in retrospect. Stuff like this usually doesn't work. Facebook has launched a bunch of additional social networks that really haven't worked. The ones that have worked are the ones they just ended up buying because they came out of the ether.

So this is, in retrospect, pretty audacious, and it's interesting to consider whether it was a good or bad thing that they didn't just put Sora functionality into ChatGPT.

Andrew Sharp

Mm-hmm.

Ben Thompson

I think the critique of why that was a mistake is they maybe never got critical mass. The good thing is this is a very bloodless killing.

Andrew Sharp

Yeah.

Ben Thompson

I think the primary casualty seems to be Disney, of all entities.

Andrew Sharp

That's right.

Ben Thompson

But if no one was using it—

Andrew Sharp

That deal has been rolled back this week as well. It's interesting, though.

Ben Thompson

Right. If no one's using an app in the App Store and the app goes away, does it make a sound?

Andrew Sharp

Well, this app scared the crap out of Hollywood. There was a whole frenzy. I'm sure everybody listening to this show remembers it, but Hollywood was all freaked out about copyright and what this could mean. Then Disney was forward-thinking for embracing it.

I do think, in retrospect, it reflects good product instincts at OpenAI. The choices they made and the way they promoted it were all good. It's just that the product itself isn't really a business for them, and they're now focusing on business.

Ben Thompson

Well, here's the thing. You could make the case that the reason Sora died is because they started cracking down on copyright. In the first few days, when it was going nuts, it was because people were doing stuff with recognizable figures.

I think we talked about this at the time, but maybe that is one of the biggest takeaways. It's a theory that I've put forward consistently. It's a reason why I feel optimistic about our fortunes in an AI world: things that people have in common—

Andrew Sharp

Yeah.

Ben Thompson

—are going to matter and matter more and more. At the far extreme, there's live events. Live events are becoming more and more important, tremendously profitable, going up almost everywhere, in all cases except for NBA games for tanking teams—but that's another discussion.

It's a similar thing with these copyright bits. When you could do Pikachu doing crazy things, people found Sora very interesting.

Andrew Sharp

Would we still be using it on a semi-regular basis? It probably wasn't going to be an everyday thing, but would we still resort to Sora to make videos featuring movie characters we all know? I think that's a good question.

2. Social Networks Need A Tool

Ben Thompson

The other thing that's interesting is that you go back to Instagram in the day, and Instagram started as a photo-filter app. On Instagram, when you would take a picture and apply the filter, there were buttons right there to easily share it to other social networks.

Andrew Sharp

Mm-hmm.

Ben Thompson

It's become a very well-chronicled strategy. I think Chris Dixon wrote the canonical argument about this: come for the tool, stay for the network, or something along those lines. They were independently useful and then got permission over time to layer on the social-network aspects, and then also lifted the Twitter graph wholesale back in the day.

Everyone wants to bemoan the end of open APIs and open social graphs.

Well, there's a very good reason why stuff's not very open anymore: Instagram basically bootstrapped itself off Twitter's social network.

Andrew Sharp

Yeah.

But for Sora, probably the most Sora videos people did see were on other social networks. And it's just really hard; maybe even having the social stuff at the beginning was a mistake. I mean, there was the Cameo bit, all those bits and pieces. I think probably the takeaway is this—

Andrew Sharp

They were trying the right things.

Ben Thompson

It's hard.

Andrew Sharp

Yeah.

Ben Thompson

Look, there have been so many attempts to build social networks, and the reality is the vast majority of them fail.

Andrew Sharp

Mm-hmm.

Ben Thompson

And if you want to be a good prognosticator, if you want to have a good track record, just come out and say, “Every single one is going to fail,” and you're going to have a great record.

Andrew Sharp

9 out of 10 times, you're going to come out—

Ben Thompson

Yep.

Andrew Sharp

—looking pretty smart.

3. Compute Costs Decide Sora's Fate

Ben Thompson

The thing that was striking to me, though, is just when you hear OpenAI talk about focusing—

Andrew Sharp

Mm-hmm.

Ben Thompson

—everyone's like, “Well, the Sora app's got to go.” It's not just that the Sora app needed to go. The amount of compute this appears to have been using, even now when no one's using it, feels astronomical. And that's, in the end, maybe the biggest critique of this. Which is—

Andrew Sharp

Who greenlit this—

Ben Thompson

If you're constrained—

Andrew Sharp

—if it was that expensive? Apparently, I saw $15 million a day thrown out. I don't know what the actual number is, but, yeah. I mean, it was obviously compute-intensive on day 1, and people had questions about how much compute was being dedicated to this project.

Ben Thompson

Yeah, I mean, this probably gets to the broader questions about where OpenAI's business is in general, but I don't want to bang on it too hard.

Andrew Sharp

Yeah.

Ben Thompson

Again, you could get a very high batting average predicting everything's going to fail, and that's not a very fun world if no one tries because they assume everything's going to fail. So I will give Sora a parting salute.

Andrew Sharp

Well, look, we're all living through the early innings of the AI era here, and there are going to be misses and weird experiments and all sorts of things that are charming in retrospect. Sora is already one of those things. I'm always going to remember that first week when everyone thought that Sora was taking over the world. And I do think if you were still allowed to use copyrighted movie characters and insert yourself into The Matrix, people would use it more often.

Ben Thompson

Right, or modify actual scenes. It had the potential to be the greatest meme maker of all time.

Andrew Sharp

Exactly.

Ben Thompson

But that's interesting. It's like—

Andrew Sharp

And that was always plausible. That was more plausible, just for the record, than it turning into its own social network that rivals Instagram or TikTok or Twitter.

Ben Thompson

Well, but if—again, to go back to the Instagram example, if you have heavy usage—

Andrew Sharp

Yeah.

Ben Thompson

—then you have the ingredients to build a social network. One thing that is important to note, though, and this gets to the infrastructure-cost angle: to go back to the Instagram example, it was applying filters on your phone, using your local camera and your local compute, and then you were posting stuff to other social networks. The actual costs for the initial version of Instagram, on a marginal basis, were basically zero.

Andrew Sharp

Yeah.

Ben Thompson

Everything was happening locally. You built the app. It was distributed through the App Store, so Apple's taking care of that aspect for you. It's running on people's local phones. Over time, then, you could layer on the—

Andrew Sharp

Mm-hmm.

Ben Thompson

Now, the cost to run Instagram today is astronomical, right? Because it's basically a cloud. It's a front end for a cloud service, and everyone has their own customized feed, and there's obviously lots of video and all these bits and pieces. But it was a very natural progression from basically zero marginal cost to layering on. And as the value of the app itself and the network increased, the costs also increased, but it was a match.

Andrew Sharp

Yeah.

Ben Thompson

And that is a fundamental problem with Sora and is going to be a fundamental problem for anyone that tries to do something similar. This just gets to why, from the very beginning, I've always been on and on about zero marginal costs—

Andrew Sharp

Mm-hmm.

Ben Thompson

—and why that makes all these new things possible. AI generally—there's a whole discussion to be had about local versus in-the-cloud computation and the question of marginal costs. But for video generation in particular, we're nowhere close to a world of—

Andrew Sharp

Yeah.

Ben Thompson

—zero marginal costs. But this almost makes the point that I make continuously about zero marginal costs in reverse. Not having zero marginal costs is sort of debilitating. And it ends up in an all-or-nothing scenario where either this takes off and is a huge deal, or within—

Andrew Sharp

That's its own problem.

Ben Thompson

—a matter of months, it's dead.

Andrew Sharp

Yeah. Right. Well, and if it takes off and it's a huge deal, we haven't really figured out how to make money from this. So how are we benefiting more than we're hurting from all the costs of all this product?

Ben Thompson

Yeah, maybe they should have had an advertising business in place.

Andrew Sharp

Right.

Ben Thompson

Yeah. It really speaks to that being probably peak OpenAI, in terms of they could do no wrong. They would make a deal with a company, that company's stock would go to the moon, and it's incredible—like, that was only a few months ago.

Andrew Sharp

I know.

Ben Thompson

So it's—

Andrew Sharp

Most takeable company in history. It's all part of the ride here.

Ben Thompson

Yeah, it—

Andrew Sharp

Well, speaking of which—

Ben Thompson

Yeah, go ahead.

4. OpenAI Chooses Enterprise

Andrew Sharp

Adrian, who emailed last week saying that OpenAI pivoting to the enterprise was a mistake, followed up on our discussion and said, “Guys, how many great companies did well at consumer and enterprise in the first decade? Microsoft was able to dominate the consumer market not just because they were good at enterprise, but because they had an early enterprise monopoly and were a default. Will OpenAI be able to build a monopoly in the enterprise today against Microsoft, Google, Oracle, Anthropic, and Amazon, and leverage that to remain the default for consumers? In the consumer market, they only have to compete with Google, but keeping up with Google will take laser focus.”

Any thoughts on the follow-up from Adrian there?

Ben Thompson

Well, this gets to what is honestly going to be a theme for a huge majority of this podcast. I'm going to warn you right now: maybe this is the, quote-unquote, “Don't call it a vacation” laziness kicking in.

Andrew Sharp

Okay.

Ben Thompson

But one thing—this is just a thing about AI in general. My answer is, I don't know. The degree of uncertainty is so high, and OpenAI is a great example. It does speak to this cost issue really screwing with things.

Andrew Sharp

Yeah.

Ben Thompson

In a more traditional compute environment, which a lot of my analysis with OpenAI may be unwittingly incorporated, it's like, well, you have a billion users, or close to a billion users, or whatever it might be. Consumer is the great prize. You only get a big new consumer company every 15 to 20 years. There's usually one defining one—

Andrew Sharp

Uber's like the last one to launch, really.

Ben Thompson

—per paradigm.

Well, I'd really go back to Facebook. Facebook is sort of the category that you—

Andrew Sharp

Mm-hmm.

Ben Thompson

—you sort of have in mind for OpenAI, and that is the biggest prize in the world. And part of the whole thesis around why they need to be monetizing, why they need to have an ad model and all these pieces, is because then that gives you this revenue flywheel that no one can compete with because it's so hard to get consumers. It's even harder to build a thriving advertising business.

But they seemed to have such a lead, and they had so many consumers. It's like, surely they can figure this out, and once they figure this out, then they're getting revenue from this model that they feed back into their R&D, and they can push further ahead.

Andrew Sharp

Yeah.

Ben Thompson

And it sort of becomes an insurmountable lead. I think I probably made this case most clearly around, I want to say, 20 months ago. I think it was at the MoffettNathanson conference or something along those lines, talking about this flywheel and why that would give them this big advantage. And it's so frustrating, to the point of being a takeable company. We don't know if that would have worked—

Andrew Sharp

Yeah.

Ben Thompson

—because they were so late to get started. And now we're in a situation where, for sure, the best way to make money in the short to medium term, where you can just really turn the spigots on—

is in enterprise. We talked about it last week. Enterprise is willing to pay for productivity gains, and what they have with Codex is very compelling. And yes and no, I should say: it’s not a monopoly.

Andrew Sharp

Yeah.

Ben Thompson

It’s tooth and nail with Anthropic. Obviously, they’re going to be fighting with Microsoft. They’re going to be fighting with all these folks, but at some point, the computation costs are what they are. You have to pay for these servers.

5. Microsoft Built Consumer Reach

Andrew Sharp

When I think about Microsoft succeeding in the consumer space, a lot of that was because they did have an airtight monopoly on the enterprise space, and so everybody learned to use computers by using Microsoft at work. That’s a huge advantage as you’re trying to get a foothold in the consumer space.

OpenAI’s story is going to be more complicated than that in terms of enterprise adoption because I’m sure there are going to be a lot of different tools used at enterprises over the next couple of years here, and Anthropic does have a real share of that market. How big of a share is anyone’s guess because these are private companies.

Ben Thompson

Yeah, it is anyone’s guess. I got a lot of pushback when I shared that Ramp data on Anthropic that we talked about before.

There’s a story in The Information this week, too, that Anthropic is basically—when they’re talking about their skyrocketing annual recurring revenue numbers, that’s actually the total that people are paying. It’s like with e-commerce: what do you calculate? Gross merchandise value, I think—GMV—which is how much you pay for all your items.

Andrew Sharp

Okay.

Ben Thompson

Do you calculate that as your revenue, or do you subtract away the cost of the item itself?

Andrew Sharp

Hmm.

Ben Thompson

In Amazon, actually, one thing that’s challenging with Amazon’s business is that traditional Amazon is in a wholesale model. It’s like a retailer. They actually buy the items and then sell the items.

Andrew Sharp

Yeah.

Ben Thompson

For that business, Amazon’s revenue is the whole item, and they have a very large cost of goods sold because they actually had to buy the item from whoever made it.

Whereas in the third-party business, Amazon’s revenue is much smaller because they’re not including the cost of the item in their calculation. It’s a third-party merchant that’s selling it.

Andrew Sharp

Right.

Ben Thompson

All they’re doing is their skim on top, as far as their percentage of fees.

Andrew Sharp

But they’re not assuming any of the risk in that scenario either, right?

Ben Thompson

Right. No, exactly. But as far as understanding the company, what you want to know is gross merchandise value, which is the total value of everything they’re selling. That’s a very different number from your actual meaningful revenue, which is what’s actually coming into your company.

Andrew Sharp

Mm-hmm.

Ben Thompson

This report in The Information says that Anthropic’s numbers are basically the GMV version. It’s like everything.

Andrew Sharp

Yeah.

Ben Thompson

Whereas OpenAI’s numbers are the percentage on top of what’s going to the clouds. Who knows? To your point, them not being public companies is frustrating.

Andrew Sharp

But they’re different methodologies.

Ben Thompson

It’s easy to get caught up in these details.

Andrew Sharp

They’re stated as different methodologies.

Ben Thompson

They’re different methodologies, but trajectories are real. I don’t think anyone denies that the Anthropic trajectory is more vertical at this point than maybe the OpenAI one, even if it’s possible the OpenAI lead is larger than you might think.

Andrew Sharp

Yes. Well, both of them may not be private companies for much longer. We’ll see whether they—

Ben Thompson

Yeah.

Andrew Sharp

—go public in the next couple—

Ben Thompson

That’d be good for us.

Andrew Sharp

—quarters here.

Ben Thompson

Well, it is actually the public-company concept working as it should. It just had to get as large as these companies are. They need money.

Andrew Sharp

Yeah, exactly. Uh, Richard said, "I have a take for your review." All right, and that is the end of the free preview. If you'd like to hear more from Ben and me, there are links to subscribe in the show notes, or you can also go to sharptech.fm. Either option will get you access to a personalized feed that has all the shows we do every week, plus lots more great content from Stratechery and the Stratechery Plus bundle. Check it out, and if you've got feedback, please email us at email@sharptech.fm.

(Preview) A Spring Break Mailbag: RIP Sora, Ads and Surplus, F1 Going in Reverse, Elon Inc., Smartphone Parenting, and More | BidClub