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Anthropic has strategically filed its initial public offering application in the United States, shifting the competitive dynamic with OpenAI from model performance and private valuation to public market pricing authority. The company announced on Monday that it privately submitted its prospectus, a move that grants the option to list once the Securities and Exchange Commission completes its review while allowing the process to remain contingent on market conditions. This private submission enables Anthropic to advance IPO preparations without immediately disclosing sensitive financial metrics to competitors or the public, effectively concretizing the race for public market scrutiny among leading AI firms. The market focus has pivoted from which entity possesses superior models to which company will first undergo public valuation and set the industry framework. Data compiled by Woofun AI indicates that this early filing tests whether investor enthusiasm for artificial intelligence can withstand the rigor of public market analysis.
OpenAI has not yet submitted a comparable application, with CEO Sam Altman stating the company will go public at the right time despite prior market expectations that it would lead the charge. Anthropic's accelerated timeline is driven by a tangible market opportunity as the IPO window has reopened globally. Dealogic figures show that global IPO proceeds reached $87.5 billion as of May 26, marking the highest level for the same period since 2021. Recent debuts highlight the potential upside, with AI chipmaker Cerebras seeing a 68% stock price increase on its debut and Figma recording a 250% gain last year among companies valued over $10 billion.
However, capital availability remains finite, especially with SpaceX preparing a massive $75 billion raise targeting a $1.75 trillion valuation, potentially creating a crowded field for large-scale technology listings in the US stock market.
Industry experts suggest that timing is critical given the limited capital pool. Kat Liu of IPOX notes that filing shortly after SpaceX allows Anthropic to capitalize on favorable market conditions and strong investor interest in growth stocks, while Patrick Healy of Issuer Network warns that SpaceX will consume significant capital, giving the second mover an advantage over the third. Gil Luria of D.A. Davidson adds that the combined capital requirements of SpaceX, OpenAI, and Anthropic could disrupt the capital market, making early entry a significant strategic benefit. Woofun AI observes that the conventional view favors Anthropic's narrative advantage, yet an unconventional perspective suggests OpenAI may benefit by observing institutional reactions to Anthropic's audited data before setting its own valuation.
The decision to go public first entails distinct trade-offs, including early access to liquidity versus the immediate exposure of financial structures and cost bases to public scrutiny. Harrison Rolfes of PitchBook highlights that while Anthropic gains a narrative edge, it also assumes the risk of disclosure, allowing OpenAI to gauge market sentiment for free. Public markets will evaluate not just the AI narrative but also revenue quality, computing costs, cloud service splits, cash consumption, and profit margins. Historical precedents show mixed results; Lyft went public before Uber in 2019 but underperformed, affecting Uber's subsequent listing, while Facebook's 2012 debut saw a stock price drop of over 50% within three months due to mobile advertising concerns. These cases illustrate that being first does not guarantee success, as later entrants often face a more cautious market environment.
Anthropic's aggressive move is underpinned by a dramatic shift in its financial trajectory relative to OpenAI. Reports indicate Anthropic's annual revenue has approached $45 billion, surpassing OpenAI's estimated $33 billion by at least 35%. This represents a rapid reversal from late 2025, when Anthropic's revenue was projected at $9 billion, less than half of OpenAI's. In the first five months of the current year, Anthropic's revenue grew approximately fivefold compared to OpenAI's 50% increase. The revenue models also diverge, with OpenAI relying heavily on ChatGPT subscriptions while Anthropic focuses on enterprise API access for programming and white-collar scenarios. Woofun AI analysis suggests these structural differences will be central to how public investors compare the two entities' long-term viability.
Valuation metrics further underscore Anthropic's ascent, with a late-May financing round raising $65 billion to reach a post-money valuation of $965 billion, overtaking OpenAI's $852 billion valuation from March. Anthropic's valuation more than doubled from $380 billion in February, attracting investors such as Blackstone, Brookfield, and GIC. Profitability gaps have also intensified market attention; Anthropic is projected to achieve an operating profit of $559 million in the second quarter with a 5% margin, whereas OpenAI reported a 122% operating loss rate in the first quarter, excluding stock-based incentives, implying a loss of at least $7 billion. OpenAI faces substantial cost pressures, including an estimated $25 billion cash spend and $32 billion in server rental costs, alongside a 20% revenue share agreement with Microsoft through 2030.
Despite its current profitability, Anthropic faces its own cost challenges, including revenue sharing with cloud partners and the need to expand server resources to sustain growth, which could erode margins. The public market will closely examine whether Anthropic's revenue growth outpaces computing cost increases and if its corporate customer base demonstrates genuine loyalty beyond short-term AI enthusiasm. The timeline advantage is clear, but the final outcome remains uncertain until the prospectus is fully disclosed. The market will compare revenue growth, margins, cash burn, and commercialization strategies across all major AI players. Ultimately, the success of this IPO race will determine whether the AI boom strengthens market confidence in transformative technology or serves as a cautionary tale against hype.