OpenAI confidentially files for IPO following Anthropic public filing

OpenAI filed confidentially for an IPO, just over a week after rival Anthropic, escalating competition between the two AI firms for capital and valuation advantage.

Objective Facts

OpenAI filed confidentially for an IPO on June 8, just over a week after Anthropic also filed for an IPO, escalating the race between the two leading AI companies. OpenAI was last valued at $852 billion post-money, having submitted a draft registration statement to the SEC. However, Anthropic closed a funding round at a $965 billion valuation, surpassing OpenAI's valuation for the first time. OpenAI is asking public market investors to buy into a business that, by its own projections, won't generate more cash than it spends for at least four more years. According to a PitchBook report, Anthropic's filing will set a valuation comp that constrains how OpenAI can price its offering when it files, with OpenAI viewed as overvalued relative to its fundamentals.

Left-Leaning Perspective

Coverage from outlets like Yahoo Finance and CNET focused on how financial transparency through an IPO will subject OpenAI to increased regulatory oversight, potentially exposing legal, privacy, or copyright-related challenges. Nonprofit accountability scholars like Alnoor Ebrahim, whose analysis was featured in Fortune and The Conversation, highlighted that OpenAI removed the word 'safely' from its mission statement, calling this a significant shift indicating the company is prioritizing profit over safety as it transitions to for-profit status ahead of the IPO. Ebrahim and critics further argued that the public bears the burden of governance failures—both that OpenAI's board abandoned its safety mission and that state attorneys general in California and Delaware permitted this to happen. Progressive commentators flagged a mismatch between optimistic projections for AI growth and current economic reality, warning that an OpenAI IPO could require investors to price in substantial future expansion despite uncertainties, with the IPO serving as a stress test for whether the AI industry is actually based on durable business models. Coverage highlighted that OpenAI faces mounting legal and safety scrutiny, including cases like Florida's lawsuit against the company. Left-aligned safety advocates like those from the Encode network argued in legal briefs that the nonprofit division could lose motivation for safety commitments under for-profit structure, that board members' authority to revoke equity for safety reasons would be eliminated, and that the public interest would be harmed by a safety-focused nonprofit relinquishing control to a for-profit enterprise with no enforceable safety commitment.

Right-Leaning Perspective

Dan Ives at Wedbush Securities, quoted widely in market-focused outlets like CNBC, framed the IPO race competitively, arguing that 'getting to public markets first is very important' and 'it sets a valuation, you're the first one to meet with investors on the road, and there's an advantage.' Kashyap Kompella, CEO of RPA2AI Research, stated that as AI companies move toward public markets, 'public investors will demand clearer paths to profitability, operating discipline and margin expansion,' viewing this as healthy market discipline that will rationalize pricing over time. Kompella noted investors will focus on whether OpenAI can improve margins through model efficiency, pricing discipline, enterprise mix shift, and infrastructure optimization—framing these as legitimate business execution challenges. Market analysts viewed the IPO as an appropriate test of investor appetite for unprofitable AI businesses at scale, with multiple commentators suggesting this represents normal capital markets functioning rather than a crisis. OpenAI CFO Sarah Friar told CNBC that because 'AI needs to garner trust in everything that we do,' the company plans to reserve shares for retail investors, with Friar stating 'Everybody wants to own part of a rocket company — I hope everyone wants to own part of ChatGPT,' framing public ownership as beneficial. Enterprise-focused coverage noted that going public removes the existential funding question, improves stability and longevity, and creates reputational and regulatory accountability that changes how an AI company behaves—all framed as positive outcomes.

Deep Dive

OpenAI's confidential IPO filing on June 8 represents a direct competitive response to Anthropic's filing one week earlier, but the dynamics reveal deeper structural challenges for OpenAI's public market debut. The timing is significant: Anthropic has surpassed OpenAI in valuation ($965 billion vs. $852 billion) and is claiming near-profitability in Q2 2026, while OpenAI projects it won't reach profitability until 2029-2030. This creates a valuation comp problem—Anthropic's disclosed financials will set a public market benchmark that constrains how aggressively OpenAI can price its offering. What makes this angle distinct from the broader IPO narrative is that OpenAI faces a transparency trap. Private markets have tolerated extreme cash burn and margin compression because valuations are negotiated between informed parties. Public markets demand audited financials, precise revenue recognition, and clear GAAP loss timelines. When OpenAI releases its full S-1, investors will see that the company spent approximately $1.69 for every dollar it earned in 2025 according to analysis, and internal projections show this continuing through 2027. Anthropic's position as a "financially stable alternative" will matter more if institutions see OpenAI's audited numbers and ratios diverge sharply from market expectations. Additionally, Anthropic's claimed path to profitability by 2028—even if partly supported by investor compute subsidies—creates a visible competitive gap that public investors can measure in real time. PitchBook's characterization of OpenAI as overvalued relative to fundamentals suggests institutional demand may split between the two offerings if they occur in the same window, leaving whichever prices second with reduced demand. Unresolved questions center on timing and financial readiness. CFO Sarah Friar reportedly suggested internally waiting until 2027, citing the company's lack of readiness for rigorous public company reporting standards. OpenAI's complex governance—with the nonprofit foundation owning 26% and retaining veto power over safety-related decisions—introduces governance uncertainty that few mega-IPOs have carried to market. Whether Anthropic's Q4 2026 listing will accelerate OpenAI's timeline regardless of internal readiness remains the key variable. If OpenAI feels forced to list before it is truly ready to defend its $852 billion valuation against skeptical public investors, the filing could mark the beginning of a long repricing process rather than the success the company anticipates.

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OpenAI confidentially files for IPO following Anthropic public filing

OpenAI filed confidentially for an IPO, just over a week after rival Anthropic, escalating competition between the two AI firms for capital and valuation advantage.

Jun 8, 2026· Updated Jun 12, 2026
What's Going On

OpenAI filed confidentially for an IPO on June 8, just over a week after Anthropic also filed for an IPO, escalating the race between the two leading AI companies. OpenAI was last valued at $852 billion post-money, having submitted a draft registration statement to the SEC. However, Anthropic closed a funding round at a $965 billion valuation, surpassing OpenAI's valuation for the first time. OpenAI is asking public market investors to buy into a business that, by its own projections, won't generate more cash than it spends for at least four more years. According to a PitchBook report, Anthropic's filing will set a valuation comp that constrains how OpenAI can price its offering when it files, with OpenAI viewed as overvalued relative to its fundamentals.

Left says: Left-leaning analysts emphasize IPO transparency benefits and regulatory oversight, while critics warn that public markets may expose the flaws in OpenAI's financial model and safety governance.
Right says: Right-leaning and market-oriented analysts emphasize that first-mover advantage in the IPO race is strategically important, and that public market scrutiny will impose healthy discipline on OpenAI's finances.
✓ Common Ground
Both market analysts and critics across the spectrum acknowledge that these two IPOs will establish pricing benchmarks for the entire AI sector, and if both companies trade well post-listing, expect a flood of smaller AI firms to follow them to public markets.
Both sides recognize that when OpenAI files its public S-1, enterprises will get a detailed look at the company's revenue breakdown, cost structure, customer concentration, and risk factors—possibly the first time they will have audited information about a vendor they depend on.
Across perspectives, there is agreement that while demand for OpenAI shares would likely be sufficient to clear the offering, the core risk is that going public forces disclosure that reframes the loss trajectory in a way private capital has overlooked, compresses valuation below $852 billion, and creates persistent public-market pressure.
Objective Deep Dive

OpenAI's confidential IPO filing on June 8 represents a direct competitive response to Anthropic's filing one week earlier, but the dynamics reveal deeper structural challenges for OpenAI's public market debut. The timing is significant: Anthropic has surpassed OpenAI in valuation ($965 billion vs. $852 billion) and is claiming near-profitability in Q2 2026, while OpenAI projects it won't reach profitability until 2029-2030. This creates a valuation comp problem—Anthropic's disclosed financials will set a public market benchmark that constrains how aggressively OpenAI can price its offering.

What makes this angle distinct from the broader IPO narrative is that OpenAI faces a transparency trap. Private markets have tolerated extreme cash burn and margin compression because valuations are negotiated between informed parties. Public markets demand audited financials, precise revenue recognition, and clear GAAP loss timelines. When OpenAI releases its full S-1, investors will see that the company spent approximately $1.69 for every dollar it earned in 2025 according to analysis, and internal projections show this continuing through 2027. Anthropic's position as a "financially stable alternative" will matter more if institutions see OpenAI's audited numbers and ratios diverge sharply from market expectations. Additionally, Anthropic's claimed path to profitability by 2028—even if partly supported by investor compute subsidies—creates a visible competitive gap that public investors can measure in real time. PitchBook's characterization of OpenAI as overvalued relative to fundamentals suggests institutional demand may split between the two offerings if they occur in the same window, leaving whichever prices second with reduced demand.

Unresolved questions center on timing and financial readiness. CFO Sarah Friar reportedly suggested internally waiting until 2027, citing the company's lack of readiness for rigorous public company reporting standards. OpenAI's complex governance—with the nonprofit foundation owning 26% and retaining veto power over safety-related decisions—introduces governance uncertainty that few mega-IPOs have carried to market. Whether Anthropic's Q4 2026 listing will accelerate OpenAI's timeline regardless of internal readiness remains the key variable. If OpenAI feels forced to list before it is truly ready to defend its $852 billion valuation against skeptical public investors, the filing could mark the beginning of a long repricing process rather than the success the company anticipates.

◈ Tone Comparison

Left-leaning coverage uses cautious, scholarly language about governance failures and safety erosion ('significant shift,' 'has largely gone unreported'), emphasizing what is hidden or being overlooked. Right-leaning and market-focused coverage uses confident, competitive framing ('arms race,' 'first-mover advantage,' 'healthy discipline'), treating capital markets as functional arbiters of value. The left frames IPO transparency as potentially exposing flaws; the right frames it as imposing beneficial accountability.