Anthropic Files for IPO Following OpenAI Public Market Push
Anthropic filed for IPO on June 1, 2026, and OpenAI followed a week later on June 8, sparking a high-stakes race to become the first frontier AI company to go public.
Objective Facts
OpenAI confidentially filed IPO paperwork on Monday, June 8, 2026, one week after Anthropic filed on June 1. Anthropic raised $65 billion in May 2026, landing at a $965 billion post-money valuation, which exceeds OpenAI's most recent valuation of $852 billion from March 2026. According to multiple media reports, Anthropic could officially list on the Nasdaq or NYSE as early as October 2026. OpenAI said its listing timing is undecided and may be a while. The competitive dynamics underscore a fundamental shift in how AI infrastructure companies access capital, with both companies racing against each other while also competing for institutional investor attention in a market increasingly concerned about valuation sustainability.
Left-Leaning Perspective
Economist Dean Baker and the Center for Economic and Policy Research launched their 'AI Bubble Monitor' to track signs of a major economic bubble, arguing that 'the value of the stock market relative to the economy is nearly twice as large as it was at the peak of the tech bubble' and noting that stock prices of many tech companies driving the market far outshine their earnings. The timing of the Anthropic and OpenAI IPOs prompted this analysis, with Baker pointing out that valuations divorced from near-term earnings growth mirror the dot-com era. CNBC's analysis, featured in their May 20 article 'Cheap AI could derail OpenAI and Anthropic's IPOs,' notes that both companies' $800+ billion valuations assume they will hold market share and pricing power, but cutting-edge AI is becoming abundant and cheap, with Chinese labs charging a fraction of American rates while Western challengers like Nvidia, Cohere, and Mistral build cheaper alternatives. Additionally, Florida filed a lawsuit against OpenAI and CEO Sam Altman in June 2026, alleging the company ignored safety warnings and brought ChatGPT to market despite knowing it was harmful to users. U.S. state Attorneys General have launched a joint investigation into OpenAI, requesting documents on user interaction, advertising, and data usage. A key contradiction noted by The Next Web is that both Anthropic and OpenAI published papers calling for global slowdown in frontier AI development while simultaneously releasing new flagship models and filing for IPOs in the same fortnight. Progressive analysts view the IPO race as a symptom of markets disconnected from underlying economics, where capital concentration and bubble dynamics override safety concerns.
Right-Leaning Perspective
IDC analyst Tim Law stated in Fortune that requiring quarterly earnings reports and technology investment disclosures would be a 'healthy thing' for the AI industry, describing these companies as 'very mature organizations' that 'have had to mature in a very short period'. Perplexity CEO Aravind Srinivas, in a CNBC interview, defended the steep valuations, arguing that both Anthropic and OpenAI deserve them because 'they are on the frontier,' and that slowing innovations might bring valuations down, but there's no indication this is taking place. Supporters point out that Anthropic is on track to post its first-ever operating profit in Q2, and both companies are 'mature, revenue-generating businesses with geopolitical footprints,' not garage-stage startups, making the case for treating them like ordinary tech listings harder to sustain. Michael Saylor, executive chairman of MicroStrategy, framed the $400 billion in AI infrastructure financing positively, arguing that banks are aggressively marketing mega-IPOs from SpaceX, OpenAI, and Anthropic as a capital allocation success story. Saylor maintained a bullish long-term outlook, arguing that periods of capital rotation ultimately reinforce the case for scarce, liquid assets. Conservative financial analysts view 2026 as representing a 'structural reset in how technology innovation is financed,' with companies grown so large in private markets that their public debuts will reshape indices and establish new benchmarks for scale.
Deep Dive
The race began when Anthropic filed confidentially on June 1, 2026, and OpenAI followed a week later on June 8, with both companies now racing toward public markets in 2026. This is not merely a timing competition—it represents a fundamental inflection point in how frontier AI companies access capital. Anthropic's $965 billion post-money valuation from its May 2026 funding round exceeded OpenAI's $852 billion valuation from March, marking a dramatic shift in relative positioning. However, Bloomberg analysis suggests that being first to market doesn't guarantee success, as institutional investors will scrutinize both companies' financials and profitability pathways simultaneously. The left's core argument rests on valuation mismatch: stock prices of many tech companies far outshine their earnings, and cutting-edge AI is becoming abundant and cheap, with Chinese labs charging fractions of American rates and Western challengers like Nvidia and Mistral building cheaper alternatives. Additionally, concurrent regulatory escalation—including Florida's lawsuit against OpenAI, a joint state investigation, and export controls on Anthropic's models—creates compliance risks that complicate the IPO narrative. The right counters that Anthropic is on track to post its first operating profit and both companies are mature, revenue-generating businesses with geopolitical footprints, and valuations reflect frontier status rather than speculation, with slowing innovation being the real risk. What to watch: Prediction markets price odds of an Anthropic IPO by September 30 at 46%, rising to 89% by December 31, with only 1-2% probability of June or July listing. These two IPOs will establish pricing benchmarks for the entire AI sector—if both companies trade well post-listing, expect a flood of smaller AI firms to follow them to public markets. The outcome will depend on whether institutional investors view these as mature businesses requiring capital for continued scaling, or as speculative plays riding an unsustainable AI bubble.