AI Economy: $110 Billion in Real Revenue and Elastic Demand for Tokens
The scale of the artificial intelligence industry is no longer a matter of speculation. My analysis of fresh data from Exponential View confirms: the real revenue of the AI economy over the last 12 months amounted to $110 billion after excluding double counting. The current annualized rate has already reached $175 billion. These are not just numbers—they are a marker that AI is becoming a full-fledged economic sector.
A key methodological nuance: each dollar is counted only once. For example, $1 spent on Claude is recorded once, even if part of the amount goes to an infrastructure provider like Amazon. The metric is based on end-customer spending, not revenue along the entire chain. Importantly, the calculation excludes China, the internal AI economy, advertising effects, consulting, and systems integration.
Growth Rates and Corporate Adoption
The AI industry is growing roughly three times faster than the adoption waves of mobile technology or the internet. Each new $1 billion in revenue is now generated in less than two days—compared to 180 days in 2023. This is unprecedented acceleration.
Corporate AI has moved beyond pilot projects, but deep, company-wide adoption is still in its early stages. Mentions of AI on earnings calls have reached 31% of tracked companies in the S&P 500 index. However, only 20% of them have made quantitative statements about the technology's impact on their business. Conclusion: a specific, measurable effect is currently confirmed by only a minority of firms.
Infrastructure Economics and Price Elasticity
The economics of infrastructure deserve special attention. Revenue from cloud giants currently roughly covers the depreciation of AI infrastructure, but the economics of GPUs heavily depend on the assumption of a six-year lifespan. The rest of the AI infrastructure is modeled over 14 years.
The most interesting finding concerns token prices. A decrease in cost does not automatically reduce revenue: every 10% reduction in token price leads to a 12–18% increase in its consumption. Demand for AI appears elastic—cheaper prices expand usage faster than the cost drops. This opens up opportunities for scaling.
The main constraints for further growth are identified as the availability of electricity and the cost of data centers. These factors will restrain the AI economy in the future. The Exponential View team worked on compiling the calculations for several months.
Expert opinion from Cryptalist: The indicator of token demand elasticity is a key signal for investors. Price wars among AI providers do not destroy the market but expand it. However, infrastructure constraints (energy and data centers) will become a critical barrier within the next 2–3 years. This is where the next major investment thesis lies.