OpenAI is not waiting for the IPO roadshow to make its case to investors. It is making it now.
The company sent a memo to investors this week laying out what it described as a decisive infrastructure advantage over Anthropic, its closest competitor in the race to build the most capable AI systems. The timing matters: Anthropic announced a powerful new model called Mythos just days earlier, and both companies are preparing initial public offerings in a market that will determine which of them can sustain billion-dollar compute bets over the next decade.
OpenAI said it expects to have 30 gigawatts of compute capacity by 2030, while it projects Anthropic will reach roughly 7 to 8 gigawatts by the end of 2027, according to the memo viewed by CNBC. (CNBC) A gigawatt is the output of a large power plant. The gap between those two numbers represents roughly a four-to-one difference in the electricity available to train and run AI models at scale.
"Even at the high end of that range, our ramp is materially ahead and widening," OpenAI wrote. (CNBC) Anthropic declined to comment for this article.
The infrastructure argument is OpenAI's counter to concerns that Anthropic has been gaining ground in enterprise markets and with frontier model capabilities. Anthropic announced Mythos this week, a model that will be distributed to a select group of companies through a cybersecurity initiative called Project Glasswing. (CNBC) Both companies are prepping IPOs and together are valued at over $1 trillion. (CNBC)
The 30 gigawatt figure is aspirational. OpenAI's current compute footprint is considerably smaller, and the projection depends on whether its Stargate data center buildout proceeds as planned. The 7 to 8 gigawatt estimate for Anthropic similarly reflects reported plans rather than existing capacity. Both companies are spending tens of billions of dollars to close the gap between where they are and where they say they are going.
What OpenAI is really selling in this memo is a story about compounding returns: better infrastructure enables better models, which drives more revenue, which funds more infrastructure. It is a narrative that matters for an IPO. Whether the numbers survive contact with the actual buildout timelines is a different question.