If OpenAI Goes Public, Will That Validate Or Burst The AI Bubble?

The AI industry has been characterised by being fuelled by extraordinary expectations. Companies have raised billions, valuations have soared and investors have poured money into businesses that have promised to transform everything from software development to healthcare. At the centre of a great deal of that excitement sit a few industry giants, one of which is OpenAI, the company behind ChatGPT.

But despite ongoing speculation, OpenAI CEO Sam Altman recently ruled out an IPO this year, reportedly describing it as an “ill-advised moment” amid ongoing concerns around AI safety and the rapid pace of development. This announcement follows a confidential draft S-1 registration statement that OpenAI filed with the US Securities and Exchange Commission earlier this year.

This is a step that often precedes a public listing; however, it doesn’t guarantee that the IPO will happen soon. Further to that, in the announcement OpenAI released at the time of the S-1 registration statement submission, the company explicitly noted that it was being done to ensure that the company could be ready to go public when necessary, not that it was definitely going to IPO in the immediate future.

The question of OpenAI’s potential IPO, however, is only part of the bigger issue at hand which is the more general trend of the AI market’s biggest (and most valuable companies) now considering listing on the stock market. The issue in this context is that if they were to all IPO, would that move end up validating the enormous amount of capital that has been poured into AI? Or, will it end up exposing, and potentially bursting, the AI bubble we’ve been speaking about for so many years?

According to a range of experts we spoke to, the answer is a lot more complicated than that, and unsurprisingly, it goes beyond just OpenAI’s potential IPO listing.

 

The IPO Itself Isn’t The Real Test

 

One theme appeared consistently across almost every response: that is, an IPO itself wouldn’t prove that AI valuations are justified, nor would it automatically trigger a collapse in confidence.

Patrick Vishy, Behavioral Finance Educator at Nononsense.courses, argues that IPOs rarely determine the fate of an entire sector. Vishy told us that “It definitely wouldn’t validate the bubble, but IPOs also never cause sector bubbles to burst either. They can simply mark the top, but historically have never actually triggered a burst.”

Several experts made a similar point. Michael Ryan, Founder of MichaelRyanMoney.com, says an OpenAI IPO wouldn’t answer the bubble question overnight, as much as we may want it to. Instead, it would provide something the industry currently lacks, which is public scrutiny. As Ryan puts it, “Public markets force the story to meet the numbers every day.”
The difference between bursting the bubble and simply drawing attention to a big problem is particularly relevant, because generally speaking, private investors can place significant value on future potential, while public investors typically want evidence that the business can ultimately generate sustainable returns.

 

From AI Promises To AI Economics

 

While AI adoption continues to grow rapidly, many experts believe the real question is whether the economics behind the technology can eventually support the valuations being attached to it.

Neil Sahota, AI Strategist, Chief AI Officer at Consolidated Analytics and Advisor to the United Nations, believes that investors should focus less on headline valuations and more on the relationship between revenue and costs. Sahota’s point is that the challenge lies in the fact that modern AI systems require vast amounts of computing power, infrastructure and capital investment. So, even if adoption continues growing, companies are still going to have to demonstrate that revenue can eventually outpace those costs. And that, he told us, is the paradox many people don’t seem to be catching: “The AI bubble doesn’t burst if AI fails; however, it does burst if AI succeeds and the economics don’t work.”

Both Daniel Di Nardo, Founder of IntelliBreach, and Anthony May, Founder and CMO at NeedAnAttorney.net, asserted that a public listing would lead to greater transparency about revenue, spending, margins and capital requirements. Indeed, the expectation is that having to offer that information to potential investors straight off the bat could quite quickly strengthen or weaken confidence depending on what the numbers reveal.

Essentially, once this happens, there won’t be anywhere to hide, because the numbers will speak for themselves and investors will make business decisions based specifically on these numbers.

 

 

Validation For AI, But Not Necessarily For Every AI Company

 

A number of experts believe an OpenAI IPO could simultaneously validate AI as a transformative technology while creating pressure on companies whose business models remain unproven. Dr. Akash D. Dubey, AI Researcher and Dean of Training at Jaipuria Institute of Management, believes that a successful listing would likely reinforce confidence in AI adoption, pointing to OpenAI’s reported scale, funding and user growth.

But, he also notes that public markets would bring a lot more scrutiny to profitability, infrastructure costs and the quality of revenue.

On the other hand, it’s likely that investors will become more selective rather than less enthusiastic. Rahul Agrawal, Founder and CEO at QuickIntell, believes that a listing would test “the economics of AI” rather than settle whether every AI company deserves its valuation. Aryaman Sharma, Founder and CEO of Padro, similarly believes that an IPO could validate AI as a lasting technology while exposing businesses whose valuations rely more on hype than durable economics.

Basically, the outcome may not be a sector-wide boom or bust. Instead, we could end up with far more clear distinctions between companies that are actually generating sustainable value in the AI industry, as opposed to those that are still relying on future expectations.

Another thing to consider is customer behaviour. . Zeyuan Gu, CEO and Founder at Adzviser, says the real test will be whether customers continue paying for AI products at a level that justifies the enormous investment flowing into the sector.

 

So, Would An OpenAI IPO Validate Or Burst The AI Bubble?

 

Our experts don’t really believe that an OpenAI IPO will immediately burst the AI bubble, nor do they think that it will validate it.

Rather, it seems plausible to expect that it will shift OpenAI from a model previously based on private funding rounds and oodles of future projections and hype to a situation based more on constant investor scrutiny dependent on consistent (quarterly) reporting and public disclosures.

Of course, that’s not to say that the future of the AI industry will suddenly become clear. However, experts expect that an OpenAI IPO (or honestly, an IPO by any of the AI giants) will more likely emphasise the importance of the numbers behind the businesses, products and models.

 

Our Experts

 

• Neil Sahota: AI Strategist, Chief AI Officer at Consolidated Analytics and Advisor to the United Nations
• Daniel Di Nardo: Founder of IntelliBreach
• Patrick Vishy: Behavioral Finance Educator at Nononsense.courses
• Dr. Akash D. Dubey: AI Researcher and Dean of Training at Jaipuria Institute of Management
• Jeet Pattanaik: Founder and CTO at Glokal AI OÜ
• Zeyuan Gu: CEO and Founder at Adzviser LLC
• Rahul Agrawal: Founder and CEO at QuickIntell
• Gagan Saini: Founder at JiT Home Buyers
• Michael Ryan: Founder of MichaelRyanMoney.com
• Anthony May: Founder and CMO at NeedAnAttorney.net

 

Neil Sahota, AI Strategist, Chief AI Officer at Consolidated Analytics and Advisor to the United Nations

 

 

“AI provides powerful capabilities, but we don’t know what the economics will look like.

“Rather than focus on OpenAI’s valuation, I’d watch the gap between what AI earns and what AI costs. Public investors must know if the economic value created grows faster than the compute, infrastructure, and capital AI requires.

“AI could exceed our tech expectations and still disappoint financially. Unfortunately, one successful IPO doesn’t validate every AI valuation, just as disappointing economics at one company doesn’t invalidate AI.

“Ironically, the delay might make the eventual IPO a tougher test. Each additional year gives investors more evidence to replace AI promises with AI economics.

“That’s the paradox people miss: the AI bubble doesn’t burst if AI fails; however, it does burst if AI succeeds and the economics don’t work.”

 

Daniel Di Nardo, Founder of IntelliBreach

 

 

“I’ll argue with your statement there because IPO itself does not validate or burst a bubble by itself, because it just forces disclosure. But my read is it tilts toward bursting, because OpenAI will have to publish huge losses in front of its short sellers. With private markets, investors just need to believe the story to keep the valuation high, and often, that’s enough. But with the public, it has to prove its valuation, or its price drops.

“The moment ChatGPT’s growth rate looks weaker than its trillion dollar valuation assumes, its stocks will get repriced… hard. And that repricing is what I think could be the headline people will point to as AI bubble burst.”

 

Patrick Vishy, Behavioral Finance Educator at Nononsense.courses 

 

 

“It definitely wouldn’t value the bubble, but IPOs also never cause sector bubbles to burst either. They can simply mark the top, but historically have never actually triggered a burst.

“And don’t forget, we still have Anthropic (2026 maybe) and Perplexity’s (2028?) IPOs on the way, so to say we will be able to someday point to one company’s offering as the very top would be a bit of a long shot in my opinion.”

 

Dr. Akash D. Dubey, AI Researcher and Dean of Training at Jaipuria Institute of Management

 

 

“I believe an OpenAI IPO is more likely to validate the current AI investment cycle than burst it, at least initially. The enthusiasm is no longer based only on expectations. OpenAI’s latest funding round valued the company at about $840 billion after raising $110 billion, while ChatGPT reportedly has more than 900 million weekly active users and around 50 million paying subscribers. Those figures demonstrate adoption at a scale few technology platforms have achieved this quickly.

“A successful listing would also provide a market-based benchmark for the billions committed to AI by Amazon, Nvidia, SoftBank, Microsoft and others.

“However, an IPO would bring much greater scrutiny to revenue quality, margins, infrastructure costs and the path to profitability. It would therefore validate AI adoption, but also test whether current valuations can withstand public-market discipline.”

 

Jeet Pattanaik, Founder and CTO at Glokal AI OÜ

 

 

“An IPO won’t settle the bubble question, but it will change what the argument is about.

“Right now the debate runs on projections. A listed company reports quarterly, and the number that matters isn’t revenue growth, it’s where the revenue sits. Enterprise spend moving from innovation budgets into operating budgets is the real signal, because innovation budgets get cut in a bad quarter and operating budgets have owners, renewals and dependencies.

“From where I sit, that migration is happening, but slower and messier than the projections assume. Pilots stall on data quality and governance rather than capability, and they don’t fail loudly, they just never get a second phase.

“So my expectation is pressure rather than a burst. Public markets won’t pop anything. They’ll force a conversation about conversion rates that private rounds never required.”

 

Zeyuan Gu, CEO and Founder at Adzviser LLC

 

 

“An OpenAI IPO would put a public price on the AI boom, but it wouldn’t settle whether that price is justified. As the founder of Adzviser, which connects business data to AI tools, I care about whether customers get enough value to keep paying.

“I’d watch recurring revenue, the cost of serving that revenue, and the cash required to sustain growth. Strong adoption can coexist with poor economics. A successful listing could lift valuations across the sector; disclosures showing that costs outpace durable demand could force a reassessment.

“My view is that AI can remain valuable even if investors have overpaid for it. The test comes in the quarters after the listing, when expectations meet operating results. An IPO would give the industry a more visible benchmark for that judgment.”

 

Aryaman Sharma, Founder and CEO of Padro

 

 

“I think an OpenAI IPO would neither validate nor burst the AI bubble on listing day. A strong debut would prove that investors still want exposure to the category, but it would not prove that the underlying economics work.

“The real test would be the disclosure. OpenAI reportedly expects roughly $278 billion in cash burn between 2026 and 2030, so investors would finally be able to compare extraordinary revenue growth with compute costs, capital commitments, customer concentration, and a credible path to profitability. That could make the market more selective very quickly.

“From building Padro, I see real demand for useful AI products, but I also see how easily model usage, latency, and infrastructure costs grow when a demo becomes a product. An IPO could therefore validate AI as a lasting technology while deflating companies whose valuations depend more on the AI label than on durable unit economics.”

 

Rahul Agrawal, Founder and CEO at QuickIntell

 

“An OpenAI listing would test the economics of AI, rather than settle whether every AI business deserves its valuation. Public-market scrutiny could make the difference between revenue growth and durable operating value much harder to blur.

“From a healthcare-AI founder’s perspective, the useful questions are concrete: does the technology complete a workflow, what does that cost after human review, and do customers keep using it? A demonstration can be impressive while the production economics remain unproven.

“My view is that an IPO could validate strong businesses and expose weak assumptions at the same time. Founders should treat it as pressure to show repeatable customer outcomes, not as a substitute for their own evidence. I would not infer an IPO timetable or investment outcome from the confidential filing alone.”

 

Gagan Saini, Founder at JiT Home Buyers 

 

 

“An OpenAI IPO would test investor enthusiasm, but it wouldn’t settle whether AI delivers lasting business value. The test I care about is whether a tool saves more time than it takes to check and correct its work.

“For small businesses, impressive demonstrations aren’t enough. Tools need to earn their place in the operating budget through reliable results at a sustainable price. If customers keep paying because the tools genuinely help, that would support the industry’s long-term case. If expectations run ahead of what customers can justify spending, a successful listing could still coexist with an overvalued market. Investor demand and customer value are two different tests.”

 

Michael Ryan, Founder of MichaelRyanMoney.com

 

 

“An OpenAI IPO wouldn’t prove the AI boom is a bubble or prove that it isn’t. What it would finally give us is a public price tag and a scoreboard.

“From my experience, private valuations can stay somewhat abstract. Public markets force the story to meet the numbers every day. Revenue growth, margins, enormous capital requirements, competition… And ultimately how much profit can be produced from all this AI spending suddenly matter a lot more.

“If OpenAI can justify a huge valuation with equally extraordinary economics, that strengthens the bull case for AI. Obviously, if the economics fall short of the expectations, it could become a very visible reality check for the entire sector.

“The IPO itself won’t pop or validate the bubble. IMO, what happens after investors can see the scoreboard might.”

 

Anthony May, Founder and CMO at NeedAnAttorney.net

 

 

“OpenAI going public would not prove AI valuations are right or wrong. It would move more of the industry’s economics into the public view. Investors would get a clearer look at revenue, spending, margins, capital needs, and how much growth depends on the continued model investment.

“For businesses using AI, the bigger signal would be what the market rewards. If public investors focus on revenue quality and efficiency instead of raw user growth, AI companies will face more pressure to show durable business models.

“An IPO would also give investors a public benchmark for comparing AI companies. If the valuation holds under public market scrutiny, confidence across the sector will strengthen. If the market discounts it, private AI valuations and fundraising expectations will reset quickly.

“Either outcome brings more financial discipline to an industry spending aggressively to build capacity.”