A former OpenAI safety leader says the company is not being careful enough.
Anthropic’s S-1 prospectus highlights twelvefold revenue growth, widening operating losses, major infrastructure costs and warnings that advanced AI could pose existential risks.

Anthropic’s S-1 prospectus warns that its AI technology could pose “existential risks to humanity.” The filing also flags risks including manipulation, blackmail and unpredictable behavior from increasingly advanced AI models. For readers tracking AI governance, the key takeaway is that safety concerns are not just public messaging; they are now part of the investor risk discussion.
Anthropic’s revenue grew twelvefold in 2025 to nearly $4.6 billion, according to the article. At the same time, its operating loss widened from $2.98 billion to $8.06 billion. The central tension is clear: demand is rising fast, but the cost of building and running frontier AI systems is rising with it.
The filing shows $7.33 billion spent on compute and infrastructure, three times the previous year and more than half of total operating costs. Anthropic also says two customers accounted for nearly a quarter of 2025 revenue, while many large customers are not locked into long-term contracts. That combination makes infrastructure commitments and revenue durability two of the biggest items to watch.
Backers are aiming for a valuation above $2 trillion, and the IPO is expected in November, according to the article. Analysts cited in the report expect the first AI company to reach public markets to help set valuation benchmarks for the broader industry, including OpenAI. If Anthropic’s debut lands near those expectations, it could shape how investors price the next wave of AI companies.
A former OpenAI safety leader says the company is not being careful enough.

A departing OpenAI safety employee says the company’s culture is broken and calls for stronger safeguards.

A former OpenAI safety researcher says AI companies need deeper safeguards, not trial-and-error risk management.
Anthropic plans to train 10,000 deployed AI engineers through Claude Frontier Academy.