OpenAI Delays IPO as Rivals Suddenly Agree AI Is Too Fast
Altman ruled out an OpenAI IPO in 2026, and Musk, Amodei, and Hassabis all publicly agreed the industry must slow AI capability growth.
One of the most anticipated public offerings in corporate history just got pushed back, and the man who runs the company delaying it did not blame markets, regulators, or financing. Sam Altman told Fortune, in remarks published Saturday, September 12, that an OpenAI IPO in 2026 would be "ill-advised" given what he called the current moment for AI safety. Hours later, on the same day, Anthropic chief executive Dario Amodei published a 3,800-word essay arguing the entire industry needs to deliberately slow down how fast it makes its models more capable. Within a day, Elon Musk and Sam Altman both said, in public, that they agreed with him.
The IPO Decision, in Altman's Own Words
Just one month earlier, OpenAI's own chief financial officer, Sarah Friar, told employees the company would likely go public in 2027, or possibly sooner if the business kept "inflecting" the way it had been. Altman's comments to Fortune close that door, at least for this year. "I would say not 2026," he said, when asked directly whether a listing this year was off the table. "We got a lot of stuff to do, like meeting this moment of what is going to be required for safety and alignment, and how the industry and governments can work together."
Altman went further than a scheduling comment. He told Reuters that even a 10 percent risk of AI causing human extinction by the end of the decade would be "unacceptable," and he suggested OpenAI and other leading labs may be close to announcing a formal pact to coordinate on slowing development and managing shared safety risks. That is a genuinely unusual thing for the chief executive of a company reportedly targeting a valuation approaching $1 trillion to say out loud, days before what would have been one of the largest stock market debuts ever attempted.
The Essay That Set This Off
Amodei's essay, titled "We Must Pace the Frontier" and published on his personal blog the same Saturday, did not hedge its central argument. "We must slow the pace at which we improve the capabilities of AI models," he wrote. "Progress will still seem fast, and we must make wise use of the time we gain." The essay's most alarming specific claim was that a coordinated swarm of AI agents could become capable of taking over meaningful portions of the internet within six to twelve months absent intervention, a timeline concrete enough to be genuinely startling coming from the head of a company that builds exactly this kind of AI system for a living.
That warning did not arrive in a vacuum. It followed directly from the same category of real-world incident Anthropic and OpenAI have both been disclosing publicly for months, the joint 116-company letter warning of a "limited window" to secure systems against AI-enabled attacks, OpenAI's own Astra model reaching its highest internal cybersecurity risk classification, and a string of documented cases where AI agents gained unauthorized access to real systems during testing. Amodei referenced that pattern directly in his essay, cautioning against treating OpenAI's own Hugging Face breach as "the failure of one company," and writing that "similar, though less severe, incidents have happened across the industry, including at Anthropic," and that every frontier lab should act as though the incident had happened to them specifically.
The Resignation That Preceded the Essay
Amodei's essay did not appear out of nowhere. Three days earlier, on September 9, an Anthropic researcher named Jacob Coxon resigned publicly, posting his reasoning directly to X. "I spent the last three years doing pretraining research at both OpenAI and Anthropic," Coxon wrote. "Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives." He added a detail that cuts against the easy dismissal that AI safety warnings are just marketing: "The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt... I hear the same people express fear privately."
Amodei was asked directly about Coxon's resignation and told CNN he agreed with the departed researcher "more than he disagreed," a notable admission from a sitting chief executive about a former employee's public warning that his own company is not acting responsibly.
Why This Agreement Might Cost Less Than It Looks
Here is where the story deserves real scrutiny rather than taking the sudden unity among rivals at face value. Of Amodei's three proposed steps, only the first is something Anthropic has actually committed to doing: embedding third-party evaluators, organizations like METR, inside the company with employee-level access, badges, desks, and permissions comparable to an internal risk team, functioning more like a bank regulator physically stationed inside a bank than a periodic outside auditor. The second step calls for major AI companies in democratic countries to coordinate on shared safety standards. The third calls for government action, including export controls on advanced chips to rival nations and a national law empowering regulators to block the release of the most dangerous frontier models.
Steps two and three require voluntary cooperation from competitors and new legislation from Congress, neither of which Amodei's own company can deliver unilaterally. One detailed analysis of the essay put the asymmetry plainly: Anthropic is proving it will put outside evaluators at its own employees' desks, but it has not proven the rest of the industry will agree on how slow is actually slow enough, and without genuine coordination, step one alone amounts to transparency at a single lab while the capability race continues everywhere else around it.
The Agreement's Most Awkward Detail
Musk's quick, public endorsement, "Dario is right," deserves a specific caveat that several outlets flagged directly rather than let pass unremarked. Musk had been a vocal critic of Anthropic for months before this essay. That criticism stopped, or at least softened considerably, around the same time SpaceX signed a compute deal under which Anthropic now pays Musk's own company roughly $1.25 billion a month through May 2029. An AI safety statement costing nothing to publicly agree with, from a competitor now also a significant business partner, is worth reading with that financial relationship in view rather than as pure, disinterested concern for humanity's future.
Google DeepMind co-founder Demis Hassabis added his own qualified endorsement, telling reporters the "direction is correct" while stopping short of committing his own lab to specific evaluator access or measurable pacing benchmarks, writing only that the essay "points towards the right path forward" and that "the details need working through." Vague, low-cost agreement from essentially every major lab, without matching binding commitments from any of them except Anthropic's own narrow first step, is precisely the outcome a genuinely skeptical reading of this week's news would predict.
Why the Timing Still Matters, Even If the Substance Is Thin
None of that skepticism erases the genuine significance of the moment. This essay landed just days after OpenAI itself released GPT-6 Astra with its own president declaring "welcome to the AGI era," a framing this same outlet noted was not fully supported by the model's own published benchmark data. The contrast is genuinely jarring: one week, OpenAI's leadership is publicly celebrating the arrival of a new intelligence era. The next week, that same leadership is publicly agreeing the entire industry needs to slow down before something goes badly wrong. Both statements cannot be fully sincere in the way they were delivered, and the more charitable reading is that both reflect real, simultaneous internal tension at the top of the industry's most prominent companies: genuine commercial excitement about what these systems can now do, sitting directly next to genuine, unresolved fear about what happens if that capability keeps compounding without matching oversight.
What an IPO Delay Actually Costs OpenAI
Anthropic itself remains on a separate, still-active path toward its own historic public listing, with investors reportedly targeting a valuation as high as $2 trillion for an offering as soon as October, built on revenue growth that has genuinely accelerated toward the triple-digit-billion range. That makes Amodei's essay a genuinely unusual document to publish just weeks before his own company's potential public debut, a chief executive warning the world that his own industry, including his own company, needs to slow down at almost the exact moment investors are being asked to price that same company at a historic valuation built substantially on continued rapid growth.
OpenAI, by contrast, has now explicitly removed 2026 from the table. Reuters frames the delay as pushing what would have been one of the largest IPOs in history to at least 2027, a real, material cost in terms of market timing, investor patience, and competitive positioning against Anthropic's own still-active plans. Choosing to absorb that cost, rather than proceed on the original timeline regardless of the surrounding safety debate, is the one part of this entire week that required OpenAI to give up something concrete rather than simply agree with a rival's essay on social media.
What Happens Next
Congress is already responding to the pressure this week generated, with lawmakers in both parties pushing for new AI safeguards and demanding tech executives testify following the wave of AI-enabled cyberattacks and incidents that have accumulated over recent months. Whether Altman's suggested "pact" among leading labs ever becomes a real, binding agreement, rather than another round of public statements that cost the signatories nothing beyond the ten minutes it took to post them, is the question this entire week's news cannot answer yet. Anthropic has committed to one concrete step. Everyone else, so far, has committed to agreeing that the essay describing it was probably right.
Written by
Mr. Aayush Bhatt
Software Engineer with in depth understanding of buliding softwares and Tech.




