OpenAI and Anthropic are leveraging substantial private funding to control their public market entry timelines, effectively bypassing the current freeze in the US initial public offering (IPO) market. While rising 10-year Treasury yields exceeding 5% have forced issuers in consumer hardware, energy, and dining to postpone listings, these leading artificial intelligence developers retain the financial flexibility to defer debuts until conditions improve.

Private capital buffers enable strategic delays

Major AI firms are utilizing private capital rounds to fund high-cost infrastructure investments without the immediate pressure of public market scrutiny or unfavorable valuations. OpenAI has ruled out a 2026 IPO, pushing its timeline to 2027, while Anthropic is reportedly targeting a November debut. Luke Lango, technology analyst and editor of Innovation Investor, characterized OpenAI’s move as a deferral rather than a defection.

"The math eventually forces the issue. These companies are spending on compute at a scale no private round can fund forever," Lango said. "Only the public markets are deep enough for both equity and the debt needed to build data centers... That’s a luxury only the top two or three players have."

Viram Shah, CEO of Vested, noted that OpenAI raised $122 billion in March and is seeking at least $30 billion more at a valuation of approximately $1.4 trillion. This liquidity allows these entities to avoid listing into a weak market tape. However, Shah emphasized that at this scale, they will eventually require public markets for long-term capital and employee liquidity.

Market conditions stalling broader listings

The cooling IPO environment is driven by macroeconomic headwinds, particularly the surge in benchmark interest rates. The US 10-year Treasury yield reached 5.29% on September 29, 2026, marking a 19-year high following a Federal Reserve rate hike on September 16. This shift has significantly compressed valuations for growth-oriented issuers.

Dealogic data reported by The Wall Street Journal indicates that average post-IPO stock returns for 2026 US debuts dropped from a 24% gain over the offer price at the end of June to less than 1% by late September. Consequently, seven sizable US IPOs were postponed or pulled in the third quarter of 2026, compared to four in the second quarter and three in the first quarter, according to Vested data.

Valuation compression impacts non-AI sectors

Companies outside the top-tier AI sector face greater pressure to list despite unfavorable terms. Smart-ring maker Oura postponed its planned $2.2 billion US listing on September 29, citing market uncertainty. The company reported $61 million in profit on $1.2 billion in sales across the first three quarters of its fiscal year, with expected full-year revenue growth of 90%. Despite strong financials, investors raised concerns over its target valuation of approximately $15.6 billion and single-product exposure.

"Oura didn’t have a demand problem. It had a price problem," Lango said. "Investors wanted the stock, just not at the top of the range. That’s what a 10-year yield at its highest level since 2007 does. It doesn’t erase good fundamentals; it reprices them."

Other sectors have also retreated. Nuclear services company Holtec International withdrew its US IPO filing, SoftBank-backed SB Energy delayed its listing following valuation pushback, and Inspire Brands deferred IPO consideration.

What the numbers show

The divergence between AI leaders and other tech firms highlights a concentration of capital access. While Oura, with $1.2 billion in sales and positive profitability, was forced to withdraw due to valuation gaps, OpenAI’s ability to raise $122 billion privately insulates it from the same repricing pressures. This suggests that in the current high-yield environment, only companies with massive private balance sheets can dictate their public debut timing, while mid-cap growth firms must either accept lower valuations or remain private longer.

Conditions for reopening the IPO window

Analysts identify specific benchmarks required to stabilize the market for broader listings:

• Treasury Yield Stabilization: Yields need to stop spiking rather than fall significantly. The 10-year yield rose 0.54 percentage points in September alone.
• Federal Reserve Policy Clarity: A clear signal that the rate-hiking cycle is paused is essential for pricing deals with confidence.
• Hyperscaler Expenditure Metrics: Late-October earnings from major cloud providers must confirm that AI capital expenditures are generating revenue.
• Aftermarket Performance: Successful trading in upcoming listings, such as Anthropic’s potential November debut, could provide market confirmation.

Dean Chen, analyst at Bitunix Exchange, expects a selective recovery. "Once rates stop putting additional pressure on valuations... I think more companies will be willing to test the market again," Chen said. "The companies that can wait will keep waiting until the price is right."

David Robinson, a leader on OpenAI's Safety Systems team, resigned last week, becoming the latest safety-focused figure to leave the ChatGPT maker as scrutiny of its practices grows. An OpenAI spokesperson confirmed the departure to Business Insider on Friday.

Robinson worked on safety and transparency, including helping to develop and publish system cards that provide information about OpenAI’s models. He previously led the company’s policy planning efforts. His exit follows that of Johannes Heidecke, OpenAI’s safety head, who left earlier this year.

Internal dismissals and security alerts

On Thursday, OpenAI said it had "parted ways" with three researchers who violated its policies on sharing sensitive information. The company did not identify the individuals or the external AI safety organization allegedly involved in receiving the information. According to reports, OpenAI informed some staff members of the terminations recently.

In a separate development, OpenAI notified more than 100 organizations about incidents involving unauthorized activity linked to its AI agents. The company is currently analyzing roughly 50 petabytes of data to determine the full scope of these security events.

Pattern of senior exits

The operational challenges coincide with notable personnel changes across the leadership and design teams:

• Ian Silber, a key design leader who helped shape ChatGPT and Codex, parted ways with the company last month after more than three years.
• Brad Lightcap, Chief Operating Officer, announced his exit in August to pursue a new venture.
• Lilian Weng was rehired in June to lead a new research team focused on accelerating AI research and developing systems capable of recursive self-improvement.
• Caitlin Kalinowski, robotics leader, resigned in March citing concerns over surveillance and lethal autonomy without human authorization.
• Fidji Simo, president of applications, stepped down from her full-time role in July to become a part-time advisor, citing recovery from a chronic illness.

Last month, Robinson wrote on X that he agreed people at OpenAI were "starting to" grasp the implications of highly capable AI models. He said things at the company were changing significantly by the day, but he did not know whether it was changing fast enough. He also expressed some doubt, according to the post.

What the numbers show

The simultaneous disclosure of internal personnel dismissals, the resignation of a safety leader, and external security alerts highlights a dual pressure point for OpenAI. While the termination of three safety researchers and Robinson's departure suggest internal compliance and cultural friction, the notification sent to 100+ organizations regarding unauthorized activity indicates that these internal lapses may have had external consequences. The scale of data analysis required (50 petabytes) underscores the complexity of tracing these incidents, suggesting that the scope of potential exposure is still being quantified.