Anthropic is preparing for a potential stock market debut in the autumn and is reportedly approaching investors with an extraordinary proposition: the future market for artificial intelligence could be worth more than $30 trillion. The figure, reported by the Wall Street Journal, has immediately attracted attention because it places the potential economic reach of AI on a scale comparable with the world’s largest national economies.
The estimate is particularly striking when measured against existing corporate revenues. The 191 technology companies in the S&P 1500 generated combined revenue of $2.4 trillion last year, according to FactSet. For Anthropic’s projected market opportunity to approach $30 trillion, AI would therefore have to move far beyond chatbots and AI agents and capture substantial economic activity across numerous industries.
That is precisely the scale of ambition implied by Anthropic’s positioning. The company, which develops frontier AI models including Claude, is presenting itself not simply as another software provider but as a potential participant in a much broader transformation of the global economy.
Yet the number has also attracted scepticism. Fred Hickey, publisher of the High-Tech Strategist investment newsletter, described the estimate as “nonsense”, arguing that it appeared designed to attract money from uninformed investors. The criticism reflects a wider question facing the AI industry: how much of the enormous economic potential being projected today can eventually become actual revenue?
Anthropic’s current figures provide some indication of both the speed of its growth and the distance between its present business and its projected opportunity. According to media reports, the company’s annualised revenue rate had reached $65 billion by the end of July, compared with $47 billion in May and $9 billion at the end of 2025. Because Anthropic is not publicly traded, it does not have to disclose its financial results.
Its rapid expansion is accompanied by equally extraordinary spending commitments. In May, it emerged that Anthropic had ordered $200 billion worth of Google cloud services over five years, while Google’s parent company Alphabet agreed to invest up to $40 billion in the company. Such arrangements illustrate the circular flow of capital that has increasingly characterised the AI industry, with technology companies investing heavily in businesses that depend on their infrastructure and hardware.
Nvidia has become one of the most prominent examples. The chipmaker has invested $30 billion directly in Anthropic rival OpenAI and later provided a $105 billion guarantee, while also joining Wall Street firms in raising $500 billion for IT infrastructure. The strategy reflects a broad bet that AI companies will continue expanding rapidly and that demand for computing infrastructure will grow with them.
For now, investors appear willing to accept the scale of those bets. Nvidia reported quarterly revenue of $96.2 billion on Wednesday, more than twice the figure from a year earlier, and expects revenue growth of about 70 per cent in the coming financial year. Its shares rose more than five per cent in after-hours trading following the results.
The optimism surrounding AI is increasingly extending beyond software into robotics. Humanoid robots have become another major source of investor enthusiasm, with Microsoft founder Bill Gates describing a future in which workers earning $20 an hour could compete with robots costing half as much per hour. Yet the economics remain uncertain. Even household robots that cannot replace professional workers are estimated by Oliver Wyman to cost around €15,000 in 2035, while Goldman Sachs analysts estimated last year that producing a single humanoid could cost between $30,000 and $150,000.
Anthropic also faces uncertainty over how much of the emerging market it can actually capture. Chinese AI models are increasingly prominent and operate at significantly lower costs than US competitors, while China has also made major advances in humanoid robotics.
The $30 trillion estimate is therefore best understood as a projection of a possible future market rather than a forecast of Anthropic’s own revenues. Other companies may capture the value, or the projected market may never materialise at anything close to that scale. The figure is only slightly above the $28.5 trillion total market revenue that Elon Musk previously projected for SpaceX, a comparison that illustrates the increasingly spectacular scale of expectations surrounding technology companies.
In an AI boom where restrained forecasts can struggle to attract attention, Anthropic appears to have chosen ambition over caution. The central question for investors is no longer whether AI can generate enormous economic value, but whether the extraordinary valuations and market projections now being attached to it can eventually be matched by the revenues, productivity and real-world transformation required to justify them.
