The AI Economy: Real Revenue Reached $110 Billion, with Growth Accelerating 90-Fold
Analysts have presented the first truly objective results of the development of the artificial intelligence industry. The real revenue of the global AI economy over the past 12 months amounted to $110 billion — and this is after excluding double counting. The current annual run rate has already reached $175 billion.
How it was calculated: methodology without double counting
The key nuance is that each dollar is counted only once. For example, if an end user pays $1 for Claude, this amount is recorded once, even if part of it goes to Amazon or another infrastructure provider. The metric is measured by end-customer spending, not by revenue along the supply chain. China, internal AI economies, advertising effects, consulting, and system integration are also excluded from the calculations.
Growth rates: unprecedented acceleration
The AI industry is growing about three times faster than the waves of mobile technology or internet adoption. The speed of revenue generation has sharply accelerated: each new $1 billion in revenue now appears in less than two days, whereas in 2023 it took 180 days.
Enterprise AI has moved beyond pilot projects, but deep company-wide implementation 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. This means that a measurable effect is currently confirmed by a minority of firms.
Infrastructure economics and price elasticity
Cloud giants' revenue 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 conclusion about token prices is interesting. A price reduction does not automatically lower revenue: every 10% decrease in token price leads to a 12–18% increase in its consumption. This means that AI demand appears elastic — cheaper prices expand usage faster than value declines.
Key scaling constraints
Electricity availability and data center costs are identified as key constraints for further scaling. These factors will limit the growth of the AI economy in the future. The team worked on these calculations for several months.
Cryptalist comment: The numbers are impressive, but it's important to understand: $110 billion is just the tip of the iceberg. The real value of AI for the global economy will be measured not so much by direct technology revenues as by the multiplicative effect of its implementation in traditional sectors. However, so far we are only seeing the first signs of this process — and not all companies are ready to move pilots into industrial operation.