Anthropic’s $30 trillion market size estimate shows how far AI’s funny numbers game has gone

Anthropic is reportedly heading toward a $2 trillion IPO, and part of its pitch is a total addressable market of more than $30 trillion, according to the Wall Street Journal. That is an eye-watering number by any normal standard. It is also the kind of number that stops being a forecast and starts looking like theater.

A TAM is supposed to describe the revenue a company could capture if it owned an entire relevant market. Startups use it to make their ideas look huge. Public-market hopefuls use it to explain why today’s revenue should be forgiven in the face of tomorrow’s dreams. Anthropic’s twist, according to the Journal, is that it isn’t defining the market as software, cloud services, or AI subscriptions. It is sizing up the full amount of work its models could theoretically do.

That means the company is effectively arguing that Claude and its peers can take on knowledge work end to end, from writing legal documents to coding and reviewing code. Alex Brunicki, co-founder and general partner at Backed VC, said that lets Anthropic frame the TAM as the value of human labor its systems might replace across legal, accounting, engineering, and business process outsourcing. But he also said the real share Anthropic can capture could be pushed down as more firms move to industry-specific models built on cheaper open-source systems.

The scale is what makes the claim so easy to mock. The Journal said the estimate is larger than China’s GDP, about equal to U.S. GDP, and roughly a quarter of global GDP. Fred Hickey, a tech analyst and editor of The High-Tech Strategist, called it nonsense on X and pointed to annual U.S. GDP of $32.5 trillion. Anthropic is hardly alone in this sort of thing, either: SpaceX has put its own TAM at $28.5 trillion, and Uber once sold investors on a $6 trillion market based on worldwide miles driven by personal cars and public transport.

Brunicki’s point, though, is that the serious money won’t be fooled for long. Professional investors will build their own cash-flow models, look at contracts, current markets, and the next few years of product plans, and ignore the pageantry. That matters because Anthropic’s near-term numbers are already big enough on their own: Bloomberg reported an annualized revenue run rate above $65 billion at the end of July, up from $47 billion in May. The bigger problem is not that AI firms can’t grow. It’s that the industry keeps acting like size alone is a business model.