OpenAI Is Not A Real Company

26 Feb 2025 · 36 min

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

Podcast Episode Notes: OpenAI Is Not A Real Company

Podcast Information Title: Better Offline Host: Ed Zitron Episode: OpenAI Is Not A Real Company (Part 1 of 2) Overview: This episode critically examines OpenAI's business model and financials, arguing that it operates more as a venture-backed welfare recipient than a sustainable business, emphasizing its substantial losses and limited product-market fit.

---

Key Concepts and Discussions

Overview of OpenAI's Business Model

  • OpenAI is positioned as a leader in the generative AI industry but is argued to be fundamentally unsustainable.
  • Major financial losses:
  • Spent $9 billion in 2024 but only generated $4 billion in revenue.
  • Resulting in a net loss of $5 billion for the year.

The Illusion of Growth

  • The narrative surrounding OpenAI is driven largely by media hype and venture capital backing rather than actual user engagement or profitability.
  • The consumer base for generative AI outside of OpenAI is described as pathetically small, with claims that the entire generative AI industry has fewer than 100 million monthly active users outside of OpenAI’s ecosystem.

Economic Viability and Unit Economics

  • OpenAI's unit economics are described as fundamentally flawed:
  • Each user, whether free or paid, loses the company money due to high operational costs.
  • The costs associated with running its AI models—particularly the expensive GPUs required for processing—are not offset by its revenue.

Comparative Analysis

  • Ed draws comparisons between OpenAI and other tech companies (e.g., Uber) to highlight the unique financial strain on OpenAI.
  • Uber, despite its losses, had the ability to scale and generate revenue from its services, which does not apply to OpenAI.

Venture Capital Dependency

  • OpenAI's continued operation is heavily reliant on ongoing venture capital funding and subsidies from big tech, particularly Microsoft.
  • OpenAI's relationship with Microsoft grants it access to cloud computing resources at lower costs, which helps offset some operational expenses, but this is not sustainable long-term.

User Engagement Metrics

  • OpenAI claims to have 400 million weekly active users, which is viewed skeptically by the host.
  • The episode questions the legitimacy of these metrics, suggesting they may be manipulated to present a more favorable picture of user engagement.

Product Strategy and Differentiation

  • OpenAI's current offerings lack meaningful differentiation in the market.
  • The episode argues that there are no significant "killer apps" or use cases that justify the scale and investment in generative AI.

Future Outlook and Concerns

  • Ed expresses deep concern about the future viability of OpenAI and similar companies.
  • Predictions suggest that if current trends continue, OpenAI could see losses of over $26 billion by 2025, with no clear path to profitability.

---

Key Takeaways

  • Sustainability Issues: OpenAI is characterized as a company that cannot survive without continuous external funding.
  • Financial Metrics: The financial metrics presented by OpenAI suggest a company that is deeply in the red, with fundamentals that indicate a lack of real market demand.
  • Critical Perspective: The host provides a critical lens on tech industry operations, encouraging listeners to question narratives surrounding tech companies and their profitability.
  • Need for Transparency: There is a call for more transparency regarding user metrics and revenue streams in the generative AI space.

---

Conclusion This episode of Better Offline provides a stark examination of OpenAI's operations, revealing systemic issues and raising important questions about the long-term viability of generative AI as a business sector. Ed Zitron's insights challenge listeners to reconsider the narratives often propagated by the tech industry and media.

For more updates, listeners are encouraged to visit the [Better Offline links](https://www.tinyurl.com/betterofflinelinks) and engage on social media.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:00This is an iHeart Podcast.

0:30Thomson Reuters and specialized bikes have since they upgraded to the next generation of the cloud. Oracle Cloud Infrastructure. OCI is the blazing fast platform for your infrastructure, database, application development, and AI needs, where you can run any workload in a high availability, consistently high performance environment, and spend less than you would with other clouds. How is it faster? OCI's block storage gives you more operations per second. Cheaper? Better? OCI costs up to 50 % less for computing, 70 % less for storage, and 80 % less for networking. Better? In test after test, OCI customers report lower latency and higher bandwidth versus other clouds.

1:12This is the cloud built for AI and all your biggest workloads. Right now, with zero commitment, try OCI for free. Head to oracle.com slash strategic. That's oracle.com slash strategic. This week on a very special episode of Health Discovered, we're taking a closer look at a condition that affects hundreds of thousands of men each year, prostate cancer. I first found out about my cancer on my birthday at the age of 45. Found out my cancer has spread to my pelvic bone. And from there, life just changed. About one in eight men will be diagnosed with prostate cancer during their lifetime, and the risk increases with age.

1:58Anything with cancer, you just think death sentence. And the only thing I could think about was, who's going to take care of my family? You have to go out there and build your support system. You've got to build your team. In this episode, we'll explore the science behind detection, along with the practical steps men can take to protect their health. Listen to Health Discovered on America's number one podcast network, iHeart. Open your free iHeart app, search Health Discovered, and start listening.

2:31Brought to you by Progressive Insurance. Do you ever think about switching insurance companies to see if you could save some cash? Progressive makes it easy. Just drop in some details about yourself and see if you're eligible to save money when you bundle your home and auto policies. The process only takes minutes and it could mean hundreds more in your pocket. Visit Progressive.com after this episode to see if you could save. Progressive Casualty Insurance Company and Affiliates. Potential savings will vary. Not available in all states. Call Zone Media Soul of an angel, body of a devil, chosen by God and perfected by science.

3:08This is Better Offline and I'm your host, Ed Zitron.

3:22now we're working on my newsletter last week i was chatting with my friend friend of the show casey kagawa about generative ai and we kept coming back to one thought where's the money where is it no really where is the money where is the money that this supposedly revolutionary world-changing industry is making and of course will make in the future and the answer is simple After hours of grinding through earnings, of grinding through media articles, of grinding through all sorts of things, I just don't believe it really exists. It's real, but it's small. Generative AI lacks the basic unit economics, product market fit, or market penetration associated with any meaningful software boom.

4:01And outside of open AI, the industry may be pathetically, hopelessly small, all while providing few meaningful business returns and constantly losing money. I'm going to be pretty straightforward with everything I say in this two-parter, because the numbers and the facts and my hypotheses are pretty fucking damning of both the generative AI industry and its associated boosters. You're going to get this episode, then there's going to be a monologue about something else or something related, I really haven't got to it yet, and then a second part, which I'm recording immediately after this one. A little behind the curtain there for you.

4:31Anyway, in reporting this analysis, I've done everything I can to try pushback against my own work, and I've sought evidence to counter the things that I've seen, like the revenue and the business models of these companies. Yet, in doing so, I've only become more convinced of the flimsiness of generative AI and the associated industry, and the likelihood of this bubble bursting in a way that kneecaps tech valuations for a prolonged period, or worse, hits the major stock market. Now, I really had originally written a far more jocular and outraged and pissy script, but while I was writing it, I realized I really had to be blunt, because what I'm describing is a systemic failure.

5:07Venture capital has propped up OpenAI and Anthropic, two companies that have burned a combined$10.5 billion in 2024, and that number is set to double or more in 2025. The tech media has allowed Sam Altman to twist them to validate completely fictional ideas as a means of propping up this unprofitable, environmentally destructive software company, and big tech has become so disconnected from reality that it is incapable of seeing how little actual returns there are in generative AI. And they're failing, by the way. As I walk you through in these episodes, the generative AI industry is very small, with the consumer market of the entire American generative AI industry outside of ChatGPT barely cracking 100 million monthly active users, which puts them below a lot of free-to-play games that you get on your iPhone.

5:55Hyperscalers have already spent hundreds of billions of dollars in capital expenditures for an AI industry that has the combined monthly active users of a free-to-play mobile game. I really must repeat myself. It's insane. But unlike most mobile games, generative AI doesn't really make any money. And for those of you wondering if selling access to AI models is the solution, it's important to know that OpenAI, the market leader in generative AI, made less than a billion dollars on API calls in 2024. And that's when people plug their models in, for those of you who don't understand. So it's the difference between, you know, load up the ChatGPT app or someone has an AI, a generative AI like ChatGPT plugged into it.

6:35Now, Microsoft pays OpenAI a revenue share of 20 % on them selling OpenAI's models, so$200 million. So this means that Microsoft likely only makes a billion dollars in revenue from API calls themselves. This is a pathetic amount of money and suggests there really isn't significant demand at all, or they're not charging enough. Neither of these are great. and honestly i'm sick and tired of hearing people prop up this fucking industry in these episodes i will explain as calmly as possible how the generative ai industry barely exists outside of open ai and honestly in writing this i've become completely disgusted at silicon valley at the waste why is nobody talking about the revenues why is nobody sharing real user numbers other than open ai well i believe it's because there isn't that much money and there certainly aren't that many users.

7:23Nobody is making a profit from this other than consultants, and that's because this is a hype-driven movement. What you see on TV and in the newspaper is not the advent of a revolutionary piece of technology. It's a cynical marketing campaign for one company, OpenAI. I need you to understand how precarious this all is. So much money has been wasted propping up an industry that only burns money that does not have mass market appeal. ChatGPT is not significant enough or useful enough or meaningful enough to justify spending$9 billion to lose$5 billion. And yes, those are the raw economics of OpenAI.

8:03Now you may say, well, Uber lost a lot of money, didn't it, Edward? Guess what? Uber lost about$6.2 billion in one year, and that was in 2020 when they couldn't run their bloody service. Uber is a very different company. I will gladly, if you email me, I will explain this to you, but Uber is not a comparison. There is no comparison to what OpenAI is doing, what Anthropic is doing. I sound crazed as ever, but you're going to understand why when I'm done. I am deeply worried about this industry and I need you to know why. But in this first episode, I'm going to focus on one specific thing, and that's the capitalist delusion known as OpenAI, a company that encompasses almost all of the traffic, funding, and attention in generative AI.

8:44And I believe they die without a constant flow of venture capital and hyperscale welfare. And I actually don't know why I said I believe that. They will. They cannot survive without that money. But okay, let's take a second. Let's talk about OpenAI's unit economics. Putting aside the hype, the blaster, OpenAI, as with all generative AI model developers, loses money on every single prompt and output. Its products do not scale like traditional software, in that the more users it gets, the more expensive its services are to run because its models are so compute-intensive. For example, ChatGPT having 400 million weekly active users is not the same thing as a traditional app like Instagram or Facebook having that many users, or indeed Uber.

9:27The cost of serving a regular user of an app like Instagram is significantly smaller because these are effectively websites with connecting APIs, images, videos, and user interactions. These platforms aren't innately compute-heavy, and so you don't need to have the same level of infrastructure to support the same amount of people. Conversely, generative AI requires expensive to buy and expensive to run and expensive to maintain graphics processing units, GPUs, both for inference and training the models themselves. These GPUs must be run at full tilt for both inference and training, which shortens their lifespan while also consuming ungodly amounts of energy.

10:03And by the way, inference is just the thing that happens when you tell ChatGPT something, think it infers the meaning of the prompt and the training is what they do when they throw all the training data to make the model smart not really though and by the way surrounding the gpu in there isn't like the gpu is just kind of hang out there's the rest of a computer which is usually highly specced and incredibly difficult to call and thus very very expensive these generative ai models also require endless amounts of training data and supplies of that training data have been running out for a long time while synthetic data might bridge some of the gap there are likely diminishing returns due to the sheer amount of data necessary to make a large-large-quitch model even larger, as much as more than four times the size of the internet.

10:45This is insane. There is not enough data, and it already kind of sucks, and it's not getting better. These companies also must spend hundreds of millions of dollars on salaries to attract and retain AI talent, as much as$1.5 billion a year in OpenAI's case, and that's before stock-based compensation. In 2016, Microsoft claimed that top AI talent could cost as much as an NFL quarterback to hire, and that sum has likely only increased since then given the generative AI frenzy and the fact they're overpaying quarterbacks. As an aside, one analyst told the Wall Street Journal that companies running generative AI models could, and I quote, be utilising half their capital expenditures because all of these things could break down.

11:26That's really bad. These costs are not a burden on OpenAI or Anthropic, but they absolutely are on Microsoft, Google, and Amazon. This shit's crazy. Anyway, as a result of the costs of running these services, a free user of ChatGPT is a cost burden on OpenAI, as is every single free customer of Google's Gemini, Anthropic's Claude, Perplexity, or any other generative AI company. Said costs are also so severe that even paying customers lose these companies' money. Even the most successful company in the business appears to have no way to stop burning capital. And as I'll explain, there's only really one real company in the industry, OpenAI.

12:05And OpenAI is not a real business. But let's start with a really, really important fact. If you forget everything I say, I want you to remember this. OpenAI spent $9 billion to make just under$4 billion in 2024. And the entirety of their revenue, that's about$4 billion, is spent on compute,$2 billion to run models, and$3 billion to train them. That is completely and utterly fucking insane. That is bonkers. That is crazy. That is completely nuts. This is not a real company. It is insane we're allowing this. Everyone should be screaming this at everyone. We live in an alternate reality where this is acceptable.

12:43There has been no precedent for this, not Amazon Web Services, not Uber, not anyone. No one has done this, and it's sickening and wasteful that we continue to. And in the past, I've repeatedly said that OpenAI lost$5 billion after revenue. Now, that is true, by the way. That is completely true. They made money and they lost money, but ended up losing$5 billion either way. However, I really just, I can't in good conscience suggest that OpenAI only spent$5 billion. It's time to be honest about these numbers. While it's fair to say that their net losses are$5 billion, they spent$9 billion to lose$5 billion.

13:26Parking shouldn't slow you down. ParkWiz gives every driver a shortcut. Book ahead, save up to 50 % and skip the hassle of circling the block. Park smarter, park faster. ParkWiz. Download the ParkWiz app today and save every time you park. So I've shopped with quints before they were an advertiser and after they became one. And then again, before I had to record this ad, I really like them. My green over shirt in particular looks great. I use it like a jacket. It's breathable and comfortable and hangs on my body nicely. I get a lot of compliments. I liked it so much I got it in all the different colors, along with one of their corduroy ones, which I think I pull off.

14:00And really, that's the only person that matters. I also really love their linen shirts, too. They're comfortable, they're breathable, and they look nice. Get a lot of compliments there, too. I have a few of them. Love their rust-colored ones, as well. And in general, I really like quints. The shirts fit nicely, and the rest of their clothes do, too. They ship quickly. They look good. They're high quality, and they partner directly with ethical factories and skip the middleman. So you get top-tier fabrics and craftsmanship at half the price of similar brands. And I'm probably going to buy more from them very, very soon.

14:28Keep it classic and cool this fall with long-lasting staples from Quince. Go to quince.com slash better for free shipping on your order and 365-day returns. That's q-u-i-n-c-e dot com slash better. Free shipping and 365-day returns. Quince.com slash better. This week on a very special episode of Health Discovered, we're taking a closer look at a condition that affects hundreds of thousands of men each year, prostate cancer. I first found out about my cancer on my birthday at the age of 45. Found out my cancer has spread to my pelvic bone. And from there, life just changed. About one in eight men will be diagnosed with prostate cancer during their lifetime, and the risk increases with age.

15:19Anything with cancer, you just think death sentence. And the only thing I could think about was, who's going to take care of my family? You have to go out there and build your support system. You got to build your team. In this episode, we'll explore the science behind detection, along with the practical steps men can take to protect their health. Listen to Health Discovered on America's number one podcast network, iHeart. Open your free iHeart app, search Health Discovered, and start listening.

15:52Hey, it's Ryan Reynolds here for Mint Mobile. Now, I was looking for fun ways to tell you that Mint's offer of unlimited premium wireless for$15 a month is back. So I thought it would be fun if we made$15 bills. But it turns out that's very illegal. So there goes my big idea for the commercial. Give it a try at mintmobile.com slash switch. A front payment of$45 for a three-month plan equivalent to$15 per month required. New customer offer for first three months only. Speed slow after 35 gigabytes if network's busy. Taxes and fees extra. See mintmobile.com.

16:26Let's really get down into the nitty-gritty of these numbers. So as discussed previously, according to the reporting by the information, OpenAI's revenue was likely somewhere in the region of$4 billion in 2024. Their burn rate, according to the information, was$5 billion after revenue in 2024, excluding stock-based compensation, which OpenAI, like other startups, uses as a means of compensation on top of cash. Nevertheless, the more it gives away, the less it has for capital raises. And these are technically costs, though they're not real money. Unless there's a liquidity event, but you don't need to worry about that.

16:58To put this in blunt terms, based on reporting by the information, and I'm repeating myself here, but I really need you to remember this, running OpenAI cost$9 billion in 2024. The cost of the compute to train models alone,$3 billion, dollars, obliterates the entirety of their subscription revenue, which was about three billion dollars, by the way. And the compute from running models, two billion dollars, takes the rest and then some. They actually end up losing an extra billion on top of that. Sam Altman's net worth is a billion dollars, by the way. Casey Kagawa has now used this as the Altman index, so it's like, you've lost one Sam Altman.

17:36That's a billion dollars. But just to be clear, it doesn't just cost more to run OpenAI than they make. It costs them a billion dollars more than the entirety of their revenue to run the software they sell before any other costs. Why are we not more concerned about this company? Now, something else to note is that OpenAI also spends an alarming amount of money on salaries, over$700 million in 2024 before you consider that compensation from stock, a number that will also have to increase because OpenAI is growing, which means hiring as many people as possible, and they're paying through the nose for them.

18:10But let's talk about how OpenAI makes money. OpenAI sells access to its models via its API and selling premium subscriptions to ChatGPT. The majority of its revenue, over 70%, comes from subscriptions to premium versions of ChatGPT. The information also reported that OpenAI now has 15.5 million paying customers, though it's unclear what level of the service they're paying for, or how sticky these customers are, as in how lucky they are to stick around, or the cost of acquiring these customers, or really any other metric to tell us how valuable these customers are to the bottom line. Nevertheless, OpenAI loses money on every single paying customer, just like its free users.

18:49Increasing paid subscribers to OpenAI's services somehow increases OpenAI's burn rate. This is not a real company. Now, the New York Times reports that OpenAI projects it will make$11.6 billion in 2025, and assuming that OpenAI burns at the same rate it did in 2024, spending$2.25 to make$1, OpenAI is on course to burn over$26 billion in 2025 for a loss of$14.4 billion. Who knows what their actual costs will be? Now, you've probably heard about SoftBank coming in. SoftBank's going to feed them money and SoftBank said they're going to spend money on this, that and the other. That round has not closed yet.

19:26Masayoshi-san, a complete fucking idiot who's lost$30-odd billion for SoftBank, the Japanese mega conglomerate, he's dedicating billions of dollars of revenue to buying OpenAI services. Unless this is a straight up trade where he's just sending money before the services come in, I don't know if it happens. And I'm going to get into things like agents later, but the information reported that OpenAI expects to make$3 billion in revenue from agents. By the end of this episode, you're going to realize how fucking stupid that sounds. We'll get there later. It's also important to note that OpenAI's costs are partially subsidized by its relationship with Microsoft, which provides cloud compute credits for its Azure cloud service.

20:05Not super technical, it's just when they host people's software and files and such, and the compute to run these models. And they also offer this at a steep, steep discount to OpenAI. Or put another way, it's like OpenAI got paid with air miles, but the airline lowered the redemption cost of booking a flight with those air miles, allowing it to take more flights than any other person with the equivalent amount of points. Until recently, OpenAI exclusively used Microsoft Azure services to train, host, and run its models, but recent changes to its deal means that OpenAI is now working with Oracle to build out further data centers to train, host, and run its models.

20:39It's unclear whether this partnership will work in the same way as the Microsoft deal, with OpenAI provided credits and discounts like before. If not, OpenAI's operating costs will only go up. per previous reporting from the information open ai pays just over 25 of the cost of azure's gpu compute as part of their deal with microsoft and that's about a dollar 30 per gpu per hour versus the regular azure cost of three dollars and forty cents to four dollars an hour i know that this sounds really technical but in in very short they're getting a sweet deal from microsoft and if anything happens to that they're completely fucked they're fucked anyway they don't have They're burning billions of dollars.

21:16It's insane. But let's talk about user numbers, because OpenAI has quite a few. They recently announced that they have 400 million weekly active users. Now, weekly active users is a wanky number and a very strange one for a company like this. OpenAI may pretend to be a consumer company, but the majority of their revenue comes from monthly subscriptions, making them kind of a cloud software company. Classically, cloud software companies report monthly active users. That way you can, I don't know, compare one number, which is the amount of active users you have, with the paid users you have, and then say, oh, that's a good business.

21:50That's a good business right there, man. Guess what? OpenAI isn't giving their monthly active users. Don't worry, I might have estimated it. When I asked OpenAI to define what a weekly active user was, it responded by pointing me to a tweet by Chief Operating Officer Brad Lightcap that said, ChatGPT recently crossed 400 million weekly active users. We feel very fortunate to serve 5 % of the world every week. What a fucking liar. It's extremely questionable that OpenAI refuses to define this core metric, by the way. And without a definition, in my opinion, there is no way to assume anything other than OpenAI is actively gaming its numbers.

22:23Now, there's likely two reasons they focus on weekly active users. One, as described, these numbers are easy to game. You can choose any seven-day period. And also, the majority of OpenAI's revenue comes from paid subscriptions to ChatGPT. And that latter point is crucial because it suggests OpenAI is not doing anywhere near as well as it seems based on the very basic metrics used to measure the success of a software product. The information reported on January 31st that OpenAI, like I mentioned, had 15.5 million monthly paying subscribers, and they added in this piece that this was less than a 5 % conversion rate of OpenAI's weekly active users.

22:59A statement that's kind of like dividing the number 52 by the letter A. this is not an honest or reasonable way to evaluate the success of chat gpt's still unprofitable software business because the actual metric like i mentioned would have been to divide paying subscribers by monthly active users or the other way around i guess a number that would be considerably higher than 400 million and the reason they don't want you to do that by the way is because you would divide them and see that they have a piss poor conversion rate good conversion rate is way higher than five percent by the way and theirs is definitely lower but don't worry i'm sneaky little shit, so I went and looked some stuff up and I talked to some people.

23:34Based on data from the market intelligence firm Sensor Tower, OpenAI's ChatGPT app on Android and iOS is estimated to have more than 339 million monthly active users, and based on traffic data from market intelligence company SimilarWeb, ChatGPT.com had 246 million unique monthly visitors, and these were in January 2025. There's likely some crossover with people using both the mobile and web interfaces, though how big that group is is kind of hard to tell and remains uncertain. Though every single person that visits chatgpt.com might not become a user, it's safe to assume that chatgpt's monthly active users are somewhere in the region of 500 to 600 million.

24:13That's good, right? Its actual users are higher than officially claimed, right? That's good? No, it's bad. First of all, each user that uses chatgpt for free is a drain on the company, whether they're free or not honestly but either way their free ones definitely are it would also suggest that the real conversion rate is somewhere in the neighborhood of 2.583 percent from free to paid users on chat gpt which is astonishingly bad and and it's a fact that's made worse by the fact that every single user regardless of whether they pay or not loses the money either way and while it's quite common for silicon valley companies to play fast and loose with metrics this particular one is well it's deeply concerning and i hypothesize that open ai is choosing to go with weekly versus monthly active users in an intentional attempt to avoid people calculating the conversion rate of its subscription products.

Read the full transcript

25:00As I will continue to repeat, these subscription products lose the company money every single time. Now let's talk product strategy, shall we? Because I don't think OpenAI really has one. OpenAI makes most of its money from subscriptions, approximately$3 billion in 2024, and the rest on API access to its models, approximately a billion. As a result, OpenAI has chosen to monetize ChatGPT and its associated products in an all-you-can-eat software subscription model, or otherwise make money by other people productizing it. And just to be clear, in both of these scenarios, OpenAI loses money on every transaction.

25:34OpenAI's products are not fundamentally differentiated or interesting enough to be sold separately. It has failed, as with the rest of the generative AI industry, to meaningfully productize its models due to the massive training and operational costs and a lack of any meaningful killer app use cases for large language models. The only product that OpenAI has succeeded in scaling to the mass market is the free version of ChatGPT, which loses the company money with every single prompt and output. This scale isn't a result of any kind of product market fit, by the way. It's entirely media-driven, with reporters making chat GPT synonymous with artificial intelligence, a thing they regularly write about without thinking.

26:10As a result, I do not believe that the generative AI industry is real. It's not a real industry, which I will define as one with multiple competitive companies with sustainable or otherwise growing revenue streams and meaningful products with actual market penetration. And I feel this way because this market is entirely subsidized by a combination of venture capital and hyperscaler cloud credits. and, well, real money, I guess. ChatGPT is popular because it's the only well-known product, one that's mentioned in basically every article on AI. If this were a real industry, other competitors would also be mentioned all the time.

26:44They would have similar scale, especially those run by hyperscalers, but as I'll get to later, data suggests that OpenAI is the only company with any significant user base in the entire generative AI industry, and it's still wildly unprofitable and unsustainable. OpenAI's models have also been entirely commoditized. Even its reasoning model, O1, has been commoditized by both DeepSeq's R1 model and Perplexity's agonizingly named R1-1776 model, both of which have similar outcomes at a much discounted price to OpenAI's O1, though it's unclear and unlikely in my opinion that these models are profitable anyway.

27:21OpenAI as a company, well, they're just piss poor at product. It's been two years in and ChatGPT mostly does the same thing, still costs more to run than it makes, and ultimately does the same thing as every other LLM chatbot from every other company. The fact that nobody has managed to make a mass-market product by connecting OpenAI's models also suggests that the use cases just aren't there. Furthermore, the fact that API access is such a small part of its revenue suggests that the market for actually implementing large language models is relatively small. If the biggest player in the space only made a billion dollars in selling access to its models unprofitably, and that amount is the minority of its revenue, there may not actually be a real industry here.

28:02And I must be clear, if there was user demand, this would be where it was in the APIs. It would be doing gangbusters because people wouldn't be able to help themselves. They'd just be all over this generative AI shit. But they're not.

28:26Parking shouldn't slow you down. ParkWiz gives every driver a shortcut. Book ahead, save up to 50 % and skip the hassle of circling the block. Park smarter, park faster. ParkWiz. Download the ParkWiz app today and save every time you park. This week on a very special episode of Health Discovered, we're taking a closer look at a condition that affects hundreds of thousands of men each year, prostate cancer. I first found out about my cancer at the age of 45. Anything with cancer, you just think death sentence. In this episode, we'll explore the science behind detection, along with the practical steps men can take to protect their health.

29:08Listen to Health Discovered on America's number one podcast network, iHeart. Open your free iHeart app, search Health Discovered, and start listening. This is Jason Timp from Hoops Tonight. Toyota is moving toward a more sustainable future by giving you the freedom to choose from an incredible lineup of trucks, now available in both gas and hybrid models, including the legendary Tacoma and powerful Tundra, both available with the iForce Max Hybrid Powertrain and backed by Toyota's legendary reputation for reliability and value. In fact, for 2025, Toyota is the best resale value brand for the fifth year in a row, according to Kelly Blue Book's KBB.com.

29:49With Tacoma ranked number one, holding the highest projected retained value of any vehicle. Choosing Toyota means having more options and less compromise. So visit buyatoyota.com for a great deal on an efficient Toyota today. Vehicle's projected resale value is specific to the 2025 model year. For more information, visit kellybluebookskbb.com. Toyota, let's go places. Run a business and not thinking about podcasting? Think again. More Americans listen to podcasts than ad-supported streaming music from Spotify and Pandora. And as the number one podcaster, iHeart's twice as large as the next two combined.

30:26So whatever your customers listen to, they'll hear your message. Plus, only iHeart can extend your message to audiences across broadcast radio. Think podcasting can help your business? Think iHeart. streaming radio and podcasting let us show you at iheartadvertising.com that's iheartadvertising.com now i want to address one counterpoint some might argue that open ai has a new series of products that could open up new revenue streams such as operator it's agent product and deep research their research product and i i'm so fucking tired of hearing about agents whenever you hear someone say agent really look at what they're saying because they want you to think autonomous bit of software.

31:06What they're actually talking about is either a chatbot or, well, the dog shit that OpenAI and Anthropic have warmed up, which we'll get to shortly. But first, let's talk costs. Both of these products are very compute-intensive. Operator uses OpenAI's computer-using agent, the CUA, which combines OpenAI's models with virtual machines that take distinct actions on webpages in this extremely unreliable and costly way where they take screenshots as they scroll down and it just doesn't fucking work i had a whole thing about casey newton writing about this it's just it was just so bad like the case newton you please go outside challenge just just go outside casey stop stop with the computer you don't know what you talked about but failures with these and remember these models pretty much all of them are inconsistent and the more in depth the thing you ask them to do the more likely there's going to be a problem with it so think about it like this failures from something you've asked them to do will either increase the amount of attempts you make to get the thing you want, or make users not use it at all.

32:03Not a really great idea. Now let's talk deep research. They use a version of OpenAI's O3 reasoning model, which is a model so expensive because it spends more time to generate a response based on the model reconsidering and evaluating steps as it goes, that OpenAI will no longer launch O3 as a standalone model. And that's really a good thing when you see a company be like, yeah, you can't touch it, it's too expensive. In short, these products are extremely expensive to run, and this means that any time their outputs aren't perfect, which is to say a lot of the time, there's a high likelihood that they'll be triggered again, which will in turn spend more compute.

32:38But let's talk about the product market fit, because this is really important. To use operator or deep research currently requires you to pay$200 a month for OpenAI's ChatGPT Pro, a$200 a month subscription, which Sam Altman recently revealed still loses the money because people are using it more than expected, and that is a quote. Furthermore, even on ChatGPT Pro, DeepResearch is currently limited to 100 queries per month, adding that it is very compute-intensive and slow. Though Altman has promised that ChatGPT Plus and free users will eventually get access to a few DeepResearch queries a month, well, that's not good for their cash burn.

33:15That's actually bad for their cash burn. I'm not sure it's going to make them... I'm not really sure how that turns into money anyway. But let's talk about Operator. operator is this agent product where you're meant to be able to be like hey look go and look something up for me and it only works like 30 of the time and it takes it's just very bad and as i covered in my newsletter a few weeks ago this product and it claims to control your computer and does not appear to be able to do so consistently it's not even ready for the prime time i don't think it has a market there the way they're selling this is that you'll be able to make it do distinct tasks on the computer but even casey newton in his article was like yeah it only works sometimes and the things it works on are like searching TripAdvisor.

33:54Imagine this, if you will. What if, for the cost of boiling a lake and throwing an entire zoo into the lake and boiling the animals inside it, you could sometimes be able to search TripAdvisor in two minutes versus ten, like five seconds? The future's so cool. I love living in it. But let's talk about deep research for a second. It's already been commoditized. Perplexed AI and XAI have launched their own versions immediately, and deep research itself is not a good product as i covered in my newsletter last week the quality of the writing that you receive from deep research is really piss poor and it's rivaled only by the appalling quality of its citations which include forum posts and search engine optimized content instead of actual news sources these reports are neither deep nor well researched and cost open ai a great deal of money to deliver and just to give you a prime rule deep research is meant to be you're to be able to type something in and it does like a 3 000 word report it's gobbledygook it's nonsense is bullshit.

34:48I really, if you, you should go and look up, go to my newsletter, where's your ed.at. It's the, it's the, it's the piece before the ones that's going to come out when these episodes come out. I forget the name exactly. You need to go and look at how shit deep research is. It's incredible that this money losing juggernaut piece of shit thinks that this is a real product. And it's insulting to the intelligence of readers that people like Casey Newton claimed it was good. But now we've established that both of these products are expensive, commoditized, and don't work very well let's talk about how they make money or don't both operate in deep research like i told you currently require you to pay 200 a month to a company that loses money all the time that also loses money on the 200 a month neither product is sold on its own and while they may drive revenue to the chat gpt pro product as said before said product loses open ai money these products are also compute intensive and have questionable outputs making each prompt very likely to create another follow-up prompt.

35:43And the problem is you're asking something that doesn't know anything that probabilistically generates answers to research something. So as a result, the research isn't going to be any good. It's not like it's going to research it and go, hey, what would be a good source? It's going to say, what matches the patterns? What matches all the patterns that are being trained on? Eh, that's fine. Who gives a shit? It's like having the world's worst intern, except the intern gets a concussion every 10 minutes. But in summary, both Operator and Deep Research are expensive products to maintain, are sold through an expensive$200 a month subscription that, like every other service provided by OpenAI, loses the company money, and due to the low quality of their outputs and actions, are likely to increase user engagement to try and get the desired output, incurring further costs for OpenAI.

36:29well you know like ed ed you say ed you're just being you're just being a hater right just being a hater things don't look great today but this early days it isn't early days but still ed it's early days things don't look great today what about the future prospects for open ai things can't be that bad can they yeah they can a week or two ago sam altman announced the updated roadmap for GPT 4.5 and GPT 5. Now, these are their next generation models that have been hyping up for the best part of a year. Except GPT 4.5 didn't exist before. It was always GPT 5. Now, GPT 4.5 will be OpenAI's last chain of thought model, referring to the core functionality of its reasoning models, where it checks the work as it goes, and really, it uses a model to ask another model whether the model's doing the right thing.

37:16Can they both hallucinate? Yes. GPT 5 will be, and I quote Sam altman a system that integrates a lot of open ai's technology including o3 what the fuck are you talking about altman also vaguely suggests that paid subscribers will be able to run gpt5 at a higher level of intelligence which likely refers to being able to ask the models to spend more time computing an answer he also suggests that it that gpt5 and i quote will incorporate voice canvas search deep research and more fucking bed bath and beyond motherfucker come on My man, your company spent$9 billion to lose$5 billion. Why is anyone taking this seriously?

37:53This is ridiculous. But both of these statements, all of these statements, honestly, vary from vague to meaningless. But I hypothesize the following. GPT 4.5 will be an upgraded version of GPT 4.0, OpenAI's foundation model you're probably using right now, and it's codenamed Orion. GPT 5, which used to be codenamed Orion, could literally be anything. but one thing that altman mentioned is in the tweet is that open ai's model offerings have got too complicated they'd be doing away with the ability to pick what model you used gussying this up and he's claiming it's unified intelligence this fucking guy if i said this shit to a doctor they'd institutionalize me they'd say you sound like a lunatic but anyway as a result of doing away with the model picker which is literally the thing you click and you choose gpt40 or gpt40 mini or like the O1 reasoning things.

38:41I think they're going to attempt to moderate cost by picking what model will work best for a prompt, a process it will automate. And if there's one thing I've noticed with OpenAI, they're not very good at automating anything. So I expect this to be bad. And I believe that Altman announcing these things is a very bad omen for OpenAI, because Orion has been in the works for more than 20 months and was meant to be released at the end of 2024, but it was delayed due to multiple training runs that resulted in, to quote the Wall Street Journal, software that fell short of the results researchers were hoping for.

39:15As an aside, the Wall Street Journal refers to Orion as GPT-5, this was from several months back, but based on the copy in Altman's comments, I believe Orion refers to a foundation model, OpenAI, which is one to replace the core GPT, one that powers chat GPT. OpenAI now appears to be calling a hodgepodge of different mediocre models something called GPT-5. It's almost as if Altman's making this up as he goes along. Now, the journal further adds that as of December, Orion performed better than OpenAI's current offerings, but hadn't advanced enough to justify the enormous costs of keeping the new model running.

39:47With each six-month-long training run, no matter how well it works, costing over$500 million. OpenAI also, like every generative AI company, is running out of high-quality training data, the data necessary to make its models smarter based on the benchmarks specifically made up to make LLM seem smart, and I should note that being smarter means completing tests, not new functionality or new things that it can do. Sam Altman deputizing Orion from GPT-5 to GPT-4.5 suggests that OpenAI has hit a wall with making its new model, requiring him to lower expectations for a model OpenAI Japan president Tagao Nagasaki had suggested would, and I quote, aim for 100 times more computational volume than GPT-4, which some took to mean 100 times more powerful when it actually means it will take way more computation to train or run inference on it.

40:36I guess he was right? Now, if Sam Altman, who is a man who loves to lie, is trying to reduce expectations for a product, I think we should all be really, really worried. Now, large language models, which are trained by feeding them massive amounts of training data and then reinforcing their understanding through further training runs, are hitting the point of diminishing returns. In simple terms, to quote friend of the show Max Zeff of TechCrunch, everyone now seems to be admitting you can't just use more compute and more training data with pre-training large language models and expect them to turn into some all-knowing digital god max is a fucking legend open ai's real advantage other than the fact it's captured the entire tech media has been its relationship with microsoft because access to large amounts of compute and capital allowed it to corner the market for making the biggest most hugest large language model now that it's pretty obvious this isn't going to keep working open ai is scrambling especially now deep seekers commoditized reasoning models and prove that you can build LLMs without the latest GPUs.

41:33It's unclear what the functionality of GPT 4.5 or GPT-5 will be. Does the market care about an even more powerful large language model if said power doesn't do anything new or lead to a new product? Does the market care if unified intelligence just means stapling together various models to produce more outputs that kind of look and sound the same? As it stands, OpenAI has effectively no moat beyond its industrial capacity to train large language models and its presence in the media. OpenAI can have as many users as it wants, but it doesn't matter because it loses billions of dollars and appears to be continuing to follow the money-losing large language model paradigm, guaranteeing it will lose billions of dollars more if they're allowed to.

42:15This is the biggest player in the generative AI industry, both the market leader and the recipient of almost every single dollar of revenue that this industry generates. They have received more funding and more attention than any startup in the last few years, and as a result, their abject failure to become a sustainable company with products that truly matter is a terrible sign for Silicon Valley and an embarrassment to the tech media. In the next episode, I'm going to be honest, I have far darker news. Based on my reporting, I believe that the generative AI industry outside of open AI is incredibly small, with little to no consumer adoption and pathetic amounts of revenue compared to the hundreds of billions of dollars sunk into supporting it.

42:52This is an entire hype cycle fueled by venture capital and big tech hubris with little real adoption and little hope for a turnaround. Enjoy tomorrow's monologue, and then the final part on Friday.

43:11Thank you for listening to Better Offline. The editor and composer of the Better Offline theme song is Matt Ossowski. You can check out more of his music and audio projects at mattosowski.com. M-A-T-T-O-S-O-W-S-K-I.com You can email me at ez at betteroffline.com or visit betteroffline.com to find more podcast links and, of course, my newsletter. I also really recommend you go to chat.wheresyoured.at to visit the Discord and go to r slash betteroffline to check out our Reddit. Thank you so much for listening. Better Offline is a production of Cool Zone Media. For more from Cool Zone Media, visit our website, coolzonemedia.com or check us out on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.

44:16Parking shouldn't slow you down. ParkWiz gives every driver a shortcut. Book ahead, save up to 50 % and skip the hassle of circling the block. Park smarter, park faster, ParkWiz. Download the ParkWiz app today and save every time you park. Hi, this is Shirley Strawberry from the Steve Harvey Morning Show. Toyota is moving toward a more sustainable future by giving you the freedom to choose from a full lineup of hybrids, plug-in hybrids, regular gas, and 100 % electric vehicles, including stylish cars like the Camry and Corolla, as well as efficient and spacious SUVs like the RAV4 and Grand Highlander.

44:57All backed by Toyota's reputation for reliability. No pressure, just possibilities. Visit BuyAToyota.com for a great deal on an efficient Toyota today. Toyota, let's go places. Did it occur to you that he'd charmed you in any way? Yes, it did. But he was a charming man. It looks like the ingredients of a really grand spy story. Because this ties together the Cold War with the new one. I often ask myself now, did I know the true Jan at all? Listen to Hot Money, Agent of Chaos on the iHeartRadio app, Apple Podcasts or wherever you get your podcasts. It may look different, but Native culture is alive.

45:46My name is Nicole Garcia, and on Burn Sage Burn Bridges, we aim to explore that culture. Somewhere along the way, it turned into this full-fledged, award-winning comic shop. That's Dr. Lee Francis IV, who opened the first Native comic bookshop. Explore his story along with many other Native stories on the show, Burn Sage Burn Bridges. Listen to Burn Sage Burn Bridges on the iHeart Radio app, Apple Podcasts, or wherever you get your podcasts. This is an iHeart Podcast.

From the publisher

In this episode (the first of a two-parter), Ed Zitron walks you through how OpenAI isn’t a real company, but a venture-backed welfare recipient that spent $9 billion to lose $5 billion in 2024 with little product-market fit and a stagnant API business that suggests that there’s little adoption of generative AI.

---

LINKS: https://www.tinyurl.com/betterofflinelinks

Newsletter: https://www.wheresyoured.at/

Reddit: https://www.reddit.com/r/BetterOffline/ 

Discord: chat.wheresyoured.at

Ed's Socials:

https://twitter.com/edzitron

https://www.instagram.com/edzitron

https://bsky.app/profile/edzitron.com

https://www.threads.net/@edzitron

See omnystudio.com/listener for privacy information.

More from Better Offline

All 276 episodes
OpenAI Is Not A Real CompanyBetter Offline · 36 min
Listen in VO