Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 646: OpenAI: How can A former nonprofit losing $12 billion a quarter go public at $1 trillion?

Episode Date: November 4, 2025

OpenAI: reportedly losing $12 billion a quarter. 🥵Also OpenAI: reportedly going public at a $1 trillion market cap. 🤑The math aint mathin, right? Or is it?Join Everyday AI for our Hot Take Tuesday breaking down OpenAI's new structure, its new deal with Microsoft, and whether they're likely to keep losing money or be Wall Street's next darling. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:OpenAI's $1.4 Trillion AI Infrastructure BetTransition to Public Benefit CorporationOpenAI's $1 Trillion IPO Valuation PlansMicrosoft Stake and Cloud Partnerships BreakdownOpenAI’s $12 Billion Quarterly Loss ExplanationUser Growth: 800 Million Weekly Active UsersAGI Race: OpenAI vs Google AnalysisEnterprise Adoption and Market Dominance StrategySora Launch, Social Features, and Agent BuilderOpenAI’s Revenue Projections and Profit TimelineTimestamps:00:00 "OpenAI: Profit vs Market Dominance"03:58 OpenAI's Evolution and Expansion07:10 Race to AGI Leadership10:31 OpenAI's Valuation and Microsoft Stake14:07 OpenAI's Strategy: Consumers First19:50 OpenAI's Profitability Under Scrutiny22:39 Satya Nadella: Microsoft’s AI Vision25:02 OpenAI Ads: Future Rival Giants28:49 AI Advancements and Market Outlook33:55 OpenAI Monetization with GPT Advances38:31 OpenAI's Enterprise Growth Potential39:36 OpenAI's Shift: Mission to Monopoly43:28 "AGI: Revolutionizing Work and Life"46:34 "OpenAI's Trillion-Dollar Future"Keywords:OpenAI, OpenAI IPO, trillion dollar valuation, AGI, artificial general intelligence, $1.4 trillion AI infrastructure, nonprofit to public benefit corporation, OpenAI recapitalization, Microsoft partnership, SoftBank funding, enterprise adoption, ChatGPT, 800 million weekly active users, Sora app, AI social network, adult mode, hardware initiatives, cloud provider, Azure contract, CoreWeave partnership, Oracle cloud, AWS contract, Anthropic competitor, Google Gemini, mSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live and Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Open AI just made one of the biggest bets in corporate history.

They've committed about $1.4 trillion in AI infrastructure spending over the next few years in order to reach AGI artificial general intelligence. And they've restructured their entire company and are betting on going public. at a reported more than $1 trillion valuation. If they get it right and if Open AI wins, they become arguably the most valuable company on Earth. But if they lose, it's a cautionary tale that'll be taught in business schools for decades.

Which will it be? Let's find out on today's episode of Everyday AI. What's going on, y'all? Welcome to Everyday AI. My name is Jordan Wilson. I'm the host and this thing's for you. It's your daily live stream podcast and free daily newsletter helping everyday business leaders like you and me, not just keep up with AI, but how we can make sense of all these changes and what's happening to get ahead, grow our companies and our career. So if that's what you're trying to do, awesome. Starts here with the unedited, unscripted live stream podcast. But if you want to take it to the next level, you've got to go to our website, your everyday AI.com. There, you've got to make sure to sign up and read our daily newsletter where we recap each. day's podcast episode and everything else you need to know happening in the world of AI. It's obviously going to be in our newsletter. So make sure you go check out your cheat code at your everyday AI.com.

So open AI, how can a former nonprofit that's reportedly losing $12 billion a quarter, how can a company like that go public at a $1 trillion valuation as it's been reported? Well, that's what we're going to explore. And on today's show, well, we're going to understand how Open AI's recent recapitalization that they just completed allows them to hopefully grow partnerships outside of just Microsoft, and clear the way for their initial public offering. We're going to examine how I think Open AI's users first profit later strategy and their $1.4 trillion infrastructure gamble can have.

actually coexist. And I'm going to wear both the bare case of broken economics of open AI against the bull case of inevitable market dominance. A lot to tackle on today's show. But it's hot take Tuesday. I'm not going to make you wait to the end. Let me give you my quick hot take. I'm going to make ultimately, personally, make the bull case for Open AI. I think that they will be a top five company in the world within five years. And, And if you're brand new to this show, maybe it's your first episode. You're like, all right, who's this weird guy? Well, I said the same thing about Nvidia three years ago before hardly anyone had heard of them.

I said they're going to become the most important company in the world and they have. So I don't say this lightly when I say that Open AI could be a top five company in the world in five years. And I think they will be. I think Open AI has smartly and rightfully so focused on both users and an Apple-esque ecosystem, while competitors like Anthropic just focus on profitability per user. Open AI, I think it's probably a good thing. They're losing billions of dollars because it tells you they're giving immense value to hundreds of millions of users, right?

Recent reports say OpenAI has 800 million weekly active users, which is bonkers. It's one of the most popular products. ever and it's only been out for about three years. And my last quick hot take is a lot of people are pointing to Open AI's recent distractions, right? They're coming out with all of these new products and features, right? SORA with this social network rolling out what they're calling an adult mode, going into hardware reportedly, becoming a cloud provider.

A lot of people are saying, oh, this is signs of a company that's strong. struggling to turn profit. So they're just throwing a bunch of AI spaghetti at the wall and seeing what sticks. And I'll say on the contrary, I think this is what we've seen as an example from Google, starting out as a search engine and now being a complete ecosystem. The same thing can be said for Apple or Amazon. I think this is smart of open AI to explore other verticals in other areas because they are increasing stickiness across the ecosystem. system. All right. Live stream audience, good to see you. Yeah, Marie asking is the one point is the one at trillion dollar valuation, uh, notional or real, uh, right? So that's, that's been the,

the recent report. And I'm going to get you caught up. So if you haven't been following the news closely, right? If you don't, uh, listen to our, uh, Monday's AI news that matters recap shows and you're like, wait, what the heck is going on, uh, right? So whether you have no clue or you're following it very closely. I'm going to recap everything. But, yeah, Open AI with the last couple of weeks, a ton of movement. But I think it's things that ultimately point toward the company going public and a one trillion dollar valuation actually might not even do their potential very much progress. All right. Let's start. But let's kind of start near the end and look at the current situation. So according to reports, Open AI is losing about $12 billion this past quarter,

matching its entire annual revenue, right? So probably not good if you're losing reportedly, according to I think this was the Wall Street Journal report. If you're reportedly losing money each quarter, that's your current revenue, right? That's a hard math to overcome the math on that. But the company, even with that, is preparing for a one trillion dollar IPO. So what that means is the market would value the company at a trillion dollars, which matches Berkshire Hathaway's current valuation, right? Yeah, crazy to go from a startup that hardly no one had heard about pre-chatGBT to being a who's who on Wall Street. And investors right now are pricing the future platform control and AGI potential.

not their current financial performance. So, yeah, when we talk about the future of OpenAI and their current financial struggles and their future revenue potential, I think people are looking at it through the lens of AGI. This isn't going to be an AGI episode, right? But essentially artificial general intelligence, the standard thought or belief around which company achieves AGI first,

is it going to be Google? Is it going to be, you know, Microsoft? Is it going to be Open AI? who will it be? I think whoever achieves AGI first is probably going to be the company that is adding trillions of dollars in annualized revenue, not in market cap. Let me repeat that. I think whatever company kind of quote unquote achieves AGI first will have the potential to add trillions of dollars, which is why when you talk about, oh, a $12 billion quarterly loss, in the grand scheme of things, if, Open AI is the company that achieves AGI first.

I would say it's probably right now, maybe a two-horse race between Open AI and Google. We'll see what China cooks up, but at least domestically here. I think you talk about losing $12 billion or reportedly $40 billion loss for the year, I think is what some estimates are putting it at. I think that's small if Open AI is the company that achieves AGI, which is what their potential in what this recent IPO is kind of predicated, on. So let's talk about some of the recent developments. So opening I was founded as a nonprofit in 2015. And I'm not going to get into the whole, you know, nonprofit drama and the Elon Musk's

lawsuits, which I think are, you know, theater more than anything else. And Elon Musk trying to stay relevant in the AI race with GROC and XAI. But they were founded as a nonprofit corporation or a nonprofit company. But they just last week completed their conversion to, a public benefit corporation. It's a little confusing, right? But essentially they tweaked. So now they're technically a PVC or a public benefit corporation versus a nonprofit. And they needed to do this for a couple of reasons.

But this conversion allows Open AI to grow with other partners outside of Microsoft. And the official restructure clears the way for funding rounds that were in progress, such as the soft bank $30 billion commitment. So Open AI needed to change some things on paper. they needed to go from the scrappy nonprofit that they started with, right? The mission first AGI for all solving humanity's problems, kind of that they started with in their founding in 2015 before they even had any commercial products to today.

And this PBC structure explicitly positions Open AI to go public in access capital markets. That's not what the, you know, the intent or the reasoning was on paper, but that is ultimately what it allows and what we're, you know, kind of setting up for here. So the original nonprofit was renamed to the OpenAI Foundation. And now the nonprofit arm in the new for profit or public benefits, PBC, the nonprofit has a 26% stake. So the most recent valuation of Open AI is 500 billion. So right, when people are looking at Open AI going public, they're like, oh, that's going to be a 2x jump in

their current valuation. So the way the current company is split up, actually Microsoft is the single largest shareholder with a 27% stake in this new PBC, while the nonprofit arm now called OpenAI Foundation has a 26% stake, and the rest is kind of split up between current employees and future fundraising efforts. So there's also a safety committee in the new setup. that has a veto authority over model releases, regardless of shareholder profit interest, according to reports. And like I said, Microsoft is now the largest single shareholder at a 27% stake, which at the 500 billion valuation comes in at 135 billion.

So covered this on the show yesterday. Not a bad, not a bad turnaround for Microsoft, right? Reportedly putting $13 billion in two separate rounds over the years with a 10x return. not just on that, but they also got a $250 billion contract for Azure Cloud services from OpenAI, so future commitments. So here's where we're at. Can Open AI cash the checks, right? It's been more than a trillion dollars, which will break down some of that funding later.

But how can a company that was technically a nonprofit 10 days ago? ago. And they've entered into all of these enormous contracts and partnerships, right, uh, with invidia, core weave, Oracle, Amazon, right? The AWS contract just dropped yesterday. I mean, we're talking, uh, individual contracts worth tens or hundreds of billions. Open AI's got to write checks. How are they going to do that? If they're a company that, as of the last week was a nonprofit and is burning, uh, cash at an enormous rate. Well, and, Open AI has openly, at least, you know, leaked documents openly stated that they're not even going to be profitable until 2029. So they're essentially asking people, yo, hold up. Yeah,

we're going to make a ton of money. We're going to achieve AGI. You know, we may go public at a $1 trillion valuation at their IPO. But you got to wait to make money. But the reality is they're in that position. It sounds crazy, but they're in that position because they're in that position because they have a legit stranglehold on the market. So Google is the only company that's getting close. We saw just yesterday we talked about on the show that Google has now achieved 650 million monthly active users across their Gemini platforms. But OpenAI 800 million weekly.

So we're talking monthly versus weekly big difference. But OpenAI slash ChadGBT has become. synonymous with AI for better or worse. And I don't see that changing anytime soon. I do think it is a two-horse race, ultimately, between Open AI and Google on who is going to run away with both the consumer and the enterprise side. Obviously, Microsoft, I think, is in a little bit of a different situation. They're not necessarily competing on the model side, right?

They're competing on the operating system side, which I think ultimately they're competing against Google and Open AI. with as well. But some interesting reporting has come out in the last month or so. But one interesting nugget is that Open AI reportedly 70% of their funding comes from individual consumers, which is why when you look at the burn rate of what Open AI is burning, I'm not even personally. I'm not concerned about that. Right? A lot of people are like, oh, how can you, you know, suggest or, you know, be so bullish on Open AI and chat GPT? Well, there you go. They're biggest market is yet untapped. And I think we're going to see that explored, right? So as an example,

just two weeks ago, Open AI finally released something that they called internal knowledge for companies. So they're really just getting their chit, that their ducks in a row for the enterprise play, which is going to ultimately be where I think the majority of their revenue is going to come from. Yet 70% of their current revenue is just coming from individual consumers. And I think That's been their strategy all along. Users first, profit later. And like I said, they're apparently, according to reports, in no hurry to even be profitable, another four-ish years. So, margins aren't important right now.

What's important to Open AI is market dominance. And what they need is compute, right? And that's where we've seen Open AI. writing checks that a lot of people say they're not going to be able to cash. So $1.4 trillion in recent infrastructure spends. So essentially, Open AI is committing to capital that a lot of people are saying they're not going to be able to provide. But they do have some cloud partnerships with the biggest in the world.

So not only with Microsoft in Azure, right, the $250 billion commitment, but large spends. We just talked about the one that was reported yesterday with Amazon Web Services, AWS, you also have Oracle, Nvidia, AMD, but this multi-cloud freedom was technically not really possible with their prior agreement

and their prior structure with Microsoft. So this restructure, even though it seemed like a boring legal thing on paper, I think this is going to, what's going to be, what's going to allow OpenAI to ultimately move and shake. So the $1 trillion question is this.

Is it even possible? Can Open AI actually achieve this? Can they actually be a company worth a trillion dollars or more? Would an IPO be successful? Well, reports have shown that it could be, right? The expectations, both whether a mixture of internal, according to reports, and external, put Open AI's potential initial public offering at a trillion. And let's put that into perspective.

That would be three X. It would be three times as big as the largest IPO ever, which was a U.S. base IPO, which was Alibaba's, which brought in $20 billion in funding from investors. So reports are saying Open AI may bring in 60 billion with their IPO, which would put them at $1 trillion. And depending on when and if this IPO happens, we're seeing dates anywhere from, you know, potentially as early as 2026, maybe 2027. I'm going to say this.

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I think that's the way that you have to look at it. Right. So many people, when they're looking at opening eyes valuation and their current burn rate and saying, oh, this is a company that's destined to fail. It's because you're using playbooks that don't matter anymore. I've said this for years. Artificial intelligence is in a league of its own. In so many companies that I think are failing or not succeeding at the rate at which they could,

one of the reasons is they're trying to apply the cloud playbook to AI or the mobile playbook or the internet playbook, right? Artificial intelligence rewrites business rules. One of the reasons is every single tech innovation so far has changed how intelligence is shared. AI changes how intelligence is created. So you can't, I think. necessarily look even at other companies, you know, how other companies became profitable. You can't even really, I think, hold open AI to that flame. So a little more on this potential

IPO, according to reports, we've seen it could happen as early as the second half of 2026. But there's been some public listing targeted for 2027, which would allow open AI two years to essentially demonstrate revenue scaling. And their private, valuation already reached $500 billion last month after a secondary share sale. But you have to look, right? If revenue is projected in 2025 to reach just $20 billion, and I say just, that's a 50x revenue multiple, which is not normal. And that has skeptics asking and doubting.

possibility and the feasibility of Open AI hitting that public valuation or even being profitable in the first place. Right? People are just saying, oh, this is, they're just burning tokens or they're creating an imaginary economy. Uh, and part of this came from a recent podcast where Sam Altman and Microsoft CEO, Sadi and Adela went on the BG2 podcast. Um, and a lot of people are pointing to.

kind of a testy exchange, right, where Sam Altman was asked, how can OpenAI commit to $1.4 trillion in spending with only $13 billion in revenue? A lot of people are saying, oh, Sam Altman was a little testy in this exchange, or maybe a little cocky, but I don't think so. You know, so even if Open AI is burning anywhere from, we've seen reports all over the place, you know, mid-20s, billions to 40, billions, uh, 40 billion dollars. How can they actually be profitable? And Sam Altman's answer was essentially, well, revenue is going to go up. Uh, and kind of hinted at, well,

they're going to see a hundred billion dollars in revenue by 2027. So this implies that open AI is going to five X their revenue in two years. That's the projection. That's the assumption. when we're saying, oh, how can Open AI a company losing billions of dollars justify a trillion dollar IPO? And he was defiant and essentially said, yeah, if you want to sell your shares, I'll find you a buyer. Yeah, so we'll link to the full podcast if you didn't check it out. A great show. But Altman essentially dared as skeptics to go ahead and short the stock, right?

You can't do that now, but once you're public, you know, saying, hey, if you want to bet against Open AI, go ahead and backed up by Microsoft CEO, Sadia Nadella, which if you look at Microsoft's last five years, I don't know, I wouldn't bet against Sadia Nadella. But he essentially said that Open AI has never missed a business plan projection. So with everyone out there, right, Open AI making all these new deals with Nvidia, Oracle, soft bank, AWS, right? These companies obviously did their due diligence. They're not going to sign these large, you know, $100 billion commitments and contracts

with Open AI if they don't have the faith that Open AI will be able to deliver. And here you go. Arguably, you could say Sadia Nadella is one of the best CEOs of all time as he's really led Microsoft through this AI transition successfully. And he is undoubtedly the executive that has the most personal experience of working with Open AI. They were the original big backer in Open AI. Microsoft themselves hitched their pony to the or hitch their wagon to the Open AI pony. And you could make that argument that it's that partnership, right? Microsoft co-pilot has largely been powered by Open AI's models, you could say that that's the bet that has paid off

the best or the biggest for Microsoft and Saudi Nadella. And he said, straight up, Open AIs never missed a business plan projection. And that public display of confidence is the main kind of rallying cry countering all of the growing skepticism against Open AIs financial sustainability. Here's the reality. You have to look past current economics, which I know a lot of people are going to even point at me and saying, all right, Jordan, that's not how business works. I don't care. Like I said, with artificial intelligence generative AI, we are in uncharted territory. And the reaction on the media and social media has been huge, right? Saying that Sam Altman is selling snake oil, right? Open AI can never be profitable.

And I don't think that's the case because you can't argue with the numbers that I think ultimately matter. 800 million weekly active users. And I would venture to say, more so, right, more so than other SaaS products, more so than, you know, social media networks. This stickiness of the open AI ecosystem is real. and it's going to get even more real. Go back and listen. Last week, we did an episode, which I should have talked a little bit about,

but make sure you go listen to that episode where we talk about Open AI's future play on ads. So go listen to episode 641, but that explains the stickiness a little bit more. But I think advertising, I think Open AI, once they pull that lever and they are, I laid out the nine reasons that personalize ads are coming to chat gbt very soon i think that is ultimately going to be something that rivals

google's ad business that rivals metas ad business but the stickiness is going to be much higher i believe right versus other SaaS products right versus uh you know something like amazon something like uh facebook because so many people are sharing personal and business information with the open a i platform and they're going to be able to not just retain that, but as they start bringing in these other third party apps, as you're going to be able to sign on to other platforms with your Open AI credentials, the amount of data and personalization that Open AI is going to have and what they can just churn out from ads. And in all honesty, I think Open AI, if they wanted to, they could be making tens of billions

of dollars of revenue just from ads within a year. after flipping that switch on. But investors are betting on essentially the inevitability of profitability versus the realities of the short-term burn. Another issue that I think is inevitable to overcome is I think enterprise adoption has been slow for a number of reasons. Some of it is misinformation, disinformation, but a lot of it is simple education, training, and development.

But talk about deep seek. Deep Seek, right? The January 2025, and I think this hurt a lot of the big AI labs, and it hurt AI adoption in general, right? Not going to go into that, did an entire episode, but that was proven to be not factually accurate, right? When Deep Seek said, oh, you know, we did this model. We made this model for only $5 million, not true, but that caused some market whiplash and also some AI adoption. And then you also have the MIT study that came out a couple of months ago. Also, complete rubbish, FYI. This is Hot Take Tuesday, so I'm going to cut it to you straight. I think now, right, the, the consensus around this MIT study, which just hit the rounds again

yesterday, which is why I'm bringing it up, because I think it was the New Yorker wrote about it again or for the first time, right, where they said 95% of, you know, AI pilots fail, and that's caused AI adoption to slow install, right? But that was a bunch of malarkey. It was, built on garbage. The MIT study was based on 52 interviews, not a real study, not real research, right? And then you saw actual studies that came out recently, such as from Wharton, that was a real study with hundreds of enterprise leaders showed that three-fourths of companies are already seeing ROI on Gen AI. But I think those two things, among others, have just slowed enterprise adoption, which is, I think, the big bucket of potential future revenue for Open AI, right?

70% of their current revenue coming from consumers. And the market has just reacted, I think, to negative headlines faster than positive productivity, which I think has been hard to measure. And these media-driven narratives, I think, are slowing enterprise deployment. But I think that's going to completely change through the fourth quarter of 2025. and in 2026. All I know, all the companies, right, we're going to see a Gemini three from Google soon, which means we're going to see Open AI has hinted that they're going to come out with, you know, a similar kind of ship miss, what they did last year with a bunch of releases toward the end of the year.

What is going to be possible with today's large, with tomorrow's large language models is going to look comically small compared to what we have today. Right. So what is, uh, available and achievable in three months from now, six months from now. We're going to look back at what we have today. And it's going to be laughable. I think revenue potential is going to explode in the next two quarters. So let's quickly go over the bear case and the bull case. Right.

Critics are pointing to a scattered focus. Right. They're saying, oh, like just the last two months alone, Open AI has kind of been all over the place. right. They released their SORA video maker, which I'm sure they're losing billions of dollars on. They essentially launched a social network alongside with SORA. They're, you know, coming out with what's deemed as a controversial adult mode reportedly at the end of this year. So there's just seeing constant new releases that look very disjointed from their core business focus. Also, their enterprise market share has dropped. Well,

others has gone up. And if you look at their gross margins, reportedly, Open AI says 40% versus traditional SaaS products are maybe closer to 70 to 90%. But I think that's more of an indicator of it's going to go down. Compute inference, getting cheaper by the day. Another case on the bare side of, yeah, Open AI is bound to fail. They're not going to be able the cash those checks, right? These future partnerships, totaling now more than $1.4 trillion, is currently 70 times more than what their revenue is projected at for 2025. And the kind of circular funding concerns or vendor financing, right? You're seeing, oh, like people are saying, oh, open AI raising money from companies, but then they have to give that money back, right?

Right. A hundred billion dollars raised from Nvidia, but it's just for future, uh, financing for GPUs and compute, right? And these skeptics are pointing to this and saying and it makes sense, right? And they're saying that these commitments just they're not showing future revenue growth potential. All this is is fixed costs, right? This is just vendor financing. It's not traditional fundraising. And they're saying that this is just crippling their future revenue potential. And critics are drawing parallels to the 1990s. Dot com bubble bursting where infrastructure overbuilding led to mass bankruptcies.

But it's not the case. It's not the case. I'll probably do a dedicated episode sometime soon on the differences between the dot com bubble versus the AI bubble. AI is in a bubble, right? The big difference is the dot com bubble wasn't at the time propping up the entire economy. Right now, you have six of the seven most valuable companies in the United States investing every dollar they can into AI infrastructure. That wasn't the case for the dot-com bubble

burst. But let's look at the Volkase and why Open AI's one trillion dollar valuation is actually justified as absolutely bonkers as that may seem. Seam. Well, even though I don't agree with it. I think the SORA 2 launch in September showed the mass potential and how open AI can actually compete with other companies in other markets. So a lot of times people are thinking, okay, first, you know, Open AI is, well, they're an AI lab. They're competing with Anthropic. And then when you're like, oh, they could, they could sell ads. Then you're like, oh, they're competing with Google. Well, then you saw them release SORA and you're like, oh, well, they're competing with meta. And I think they can compete across all of those different channels. Sora, again, I'm not

personally a fan of how they released it. It is brain rot and I'm not going to sugarcoat that. It is brain rot, right? It is TikTok style brain rot, but AI generated. But consumers love it. It has been, for the most part, since it was launched, the number one app on the iOS app store, right? Which is crazy to think about. It's still number three, but it spent the majority of its first, you know, two months or so on the market as the most popular app in the United States. Users are flocking to it, right? Another way for Open AI to monetize. And you have the social features and also the social features.

the agent capabilities. OpenAI just released their agent builder, which I think is going to create a lot of future revenue potential in their agent kit, essentially allowing any company to very easily put a version of chat GPT on their website connected to their company data. So again, tapping into that, you know, the huge enterprise market that they haven't really. The other thing that people are still overlooking.

Depending on what benchmarks you look at, yes, Gemini 2.5 Pro is widely considered one of the most powerful models in the world. And we're going to see a Gemini 3 soon. But a lot of the benchmarks are still showing Open AI's more powerful versions of GPT5 as the most powerful model in the world. So opening eyes not going anywhere, right? They're not losing out to Anthropic. They're not losing out to meta. They're not losing out to just, you know, Google, even. even though I do think it is a two horse race, at least on the model side between Open AI and Google.

They are still going to continue to be a model provider. I think on the Codex side, on the coding side, their revenue is increasing there. They just released new options, which I think are going to bring in a lot of revenue for people to buy additional, you know, SORA credits, codex credits. So I think the product velocity just over the last couple of weeks alone, just the amount of releases demonstrates that open AI can innovate across multiple categories simultaneously, not just on the model side, which they've proven to be a leader in. More on the bull case.

I think model pricing, I've been saying this for a long time. Eventually, model pricing is going to go up, right? Maybe not model pricing, but subscription pricing, right? It's not going to be one of those things, you know, oh, $20 a month. It's not going to be like that forever, at least if you want the latest and the greatest features. A lot of, especially we're going to see them on the enterprise side. Some of the more powerful features and modes are going to start to cost more, period. And at the same time, margins on Open AI side are going to improve.

So I do think that we're going to see. Pricier, like costs are going to increase, right? Same thing. If you look at your Netflix subscriptions, if you look, get anything that you've paid for for years, prices go up over time. That $20 a month is not going to stay like that forever. Or if it does, all that means is it's going to become a muted or less powerful product over time.

But operational efficiencies are inevitable, right? Compute costs are going down week over week as inference and training improves. So those three trends working together, I think could, completely transform OpenAI's economics and going from the 40% margins, reportedly, which aren't that great, to getting into the more traditional SaaS margins at the 70%. And then I've already talked about this. Open AI hasn't even really made a real play on the enterprise side. Yes, they've had the ChedGPT Enterprise available for more than a year now,

but they just released internal company knowledge, which brings a version of retrieval augmented generation or rag to companies in a couple of clicks, the ability to ground answers in your company's data. I'll tell you one thing. One thing, Open AI is not. They're not good at marketing. They're not, right? I feel bad saying that since I talk to people on the go-to-market side.

And I think Open AI doesn't advertise. They don't market. They don't tell ongoing stories about their products and in simple ways that people can understand. If I'm being honest, it's probably one of the reasons why this podcast has even grown. Because I try to break things down simply. And I'm like, yo,

do you guys not realize what's happening here? Open AI, I think is maybe rightfully so. They're a very lean organization. The amount of revenue per employee is astronomical. But they essentially ship something that is potentially game changing for enterprises. And then they don't really revisit it, right? They don't continue to tell the story on the business impact.

And I think that's going to change in 2026. But it's been hard for them to do that. And I think they've kind of failed to capitalize on their current product offerings and how that's valuable for enterprises. But that is potential hundreds of billions of dollars in annualized revenue when and if OpenAI figures that out. And I think they ultimately will. And chat, GPT is already reportedly used by 90.

percent of Fortune 100 companies. And they're going to continue, I think, to convert free users to paid users, paid users to business users, business users to enterprise users, right? You go from $0 to $20 a month to $25 a month on a business plan and the enterprise plan reportedly about $60 a month and it scales up from there. But opening eye is serving five million paying business clients today. but I think that penetration remains shallow with massive expansion room. So let's wrap this up.

I gave you all the kind of boring on paper details. OpenAI has gone from a nonprofit with this, you know, honorable mission to create AGI to serve humanity to now they are a company that is potentially preparing for an IPO. They're a company now that's trying to compete. with just about anyone in the online space. Not just Anthropic in the AI labs. They're trying to become the default search engine.

They're trying to become the default browser with Atlas. And they're trying to become the default advertising platform, even on the social side with offerings like SORA. Here's my verdict. You have to look at history. And I think so many people, and you have to be careful about who you're listening to and who you're paying attention to.

There's so many media companies, individuals on social media out there who are just professional rage baiters. They're just putting out clickbait to try to get you to pay attention to them. Right. They're screaming. They're saying, oh, open AI. They're going to fail. Open AI is going to fail. Right.

Look at the economics. They don't make sense. They shouldn't make sense because this is a revolutionary technology. But even if you do, want to go back and look. Ready? You know I bring receipts. What do I say? More receipts than your local CBS.

Sip on the coffee. Ready? Anyone I think who net right now, whether they're an AI skeptic or a, you know, open AI skeptic. I think they're either clickbait, rage bait, or they just don't understand. They're just not very smart and can't see past today. and tomorrow. But let's look.

Let's look at today's most successful startups. Amazon. They were burning cash for nine years, y'all. Founded in 94 was not profitable until 2003. Tesla, 17 years. Operating at a loss. Now, sixth most valuable company in the U.S. by market cap.

Uber, 14 years in the red. Now, one of the most profitable startup companies ever. Spotify, 11 years in the red. Founded in 2006, they weren't profitable until, well, technically more than 11 years until about 2017. Airbnb, 12 years in the red. This is how startups work. All right.

So, and I only say this. If you are a decision maker and you are still on the fence, right? And I'm not just saying this like, you know, being an open AI shill, chat GPT, shill, Google, whatever, right? I say this to business makers out there. If you are still in the experimental phase and one of the reasons is you're believing these headlines, right? Oh, open AI is going to fail.

Large language models are fake. They're not real. I can't warn you anymore. Right? Open AI will be an extremely profitable company. They're not too big to fail. People are pointing at the circular funding, the vendor financing deals and saying, oh, it's all fake money.

No, it's not. I think people are saying, oh, you know, this is the case. Open AI is going to be the first bubble that burst and it's going to burst the whole economy. No, I don't think this is the case of Open AI is too big to fail. I think their technology is too revolutionary. not to change how humans work and ultimately live. And the bet on AGI is fundamentally transforming productivity, making today's losses completely irrelevance to tomorrow's dominance.

And if AI agents, right, we haven't even got into AI agents, if they can just automate 10% of today's knowledge work, the total addressable market, that's measured in trillions. Yes, there's a big bet on AGI. And I did open up this show by saying there's going to be the binary, the outcomes binary, right? Either they're going to be a top five. Open AI is either going to be a top five company in the U.S. by market cap or the biggest failure. But I don't think they're failed.

They're going to fail. And I don't think the reason is, oh, they're too big. It's, you know, they're artificially propped up. I don't think that's the case, y. Y, y'all, I've been covering the generative AI scene every single day for nearly three years. I'm lucky enough to get to talk to all the smartest people in the world, both offline and on the show. And I obviously use this technology hours every single day. I think Open AI is the new infrastructure layer for human AI.

collaboration, regardless of AGI and the implications there, I think open AI is that layer that is going to dictate how all humans, right, Open AI slash Google, all right, and I think both horses can win, right, just like Uber and Lyft. I think two horses can win the AGI race or, you know, the ultimately being that level of success. They're not going to fail. Are they going to be 100 billion dollars of revenue by 2027. I don't know. It's an awfully lofty claim by Open AI, but I don't even think, or by Sam Allman, I don't even think they need to.

I don't think they need to because the ecosystem is that good. The technology is that revolutionary. And the business reliance is that high. That's the other thing that people aren't talking about, right? All these studies and stats that we see so many. And I'm talking about millions of knowledge workers. across the United States are pocketing the time that they're saving from using large language models. And I think that the technology is too pivotal. And yes, I'll say it by this. I'll end the

show by saying this. Yes, Open AI can be losing tens of billions of dollars even next year. It's not going to matter. They are still going to go public. They are still going to, I think, ultimately be turning hundreds of billions of dollars in revenue, maybe by the end of this decade. And I think ultimately that one trillion dollar potential IPO is going to seem small when we reflect back on it in a couple of years. And Open AI is ultimately a top five company in the U.S. which you might think is crazy. But by their current $500 billion valuation, people don't talk about this. They are the most valuable private company in the world. by market cap. And if they were a public company today, they would be a top 20 public company

in the U.S. So to think that Open AI could be a company worth trillions of dollars is not far-fetched. If you do the math and connect the dots, it's actually inevitable. All right. I hope today's hot take Tuesday full of Rance episode was helpful. But y'all, this is unedited, unscripted. I'm trying to give you just the facts, the stats. But on Tuesdays, I give you my hot takes and my opinion. So I hope this was helpful. If so, please go to Your EverydayAI.com. Sign up for the free daily newsletter.

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