28/06/2026
📊 The AI economy is scaling faster than almost anyone expected.
A new report from Exponential View estimates that the AI industry generated $110 billion in real revenue over the past 12 months, counting only end-customer spending and removing supply-chain double counting. That means if a dollar is spent on Claude and later flows to Amazon for cloud infrastructure, it’s only counted once.
Even more striking, AI is now running at a $175 billion annualized revenue rate, excluding China, internal productivity gains, advertising uplift, consulting, and systems integration.
Here are some of the biggest takeaways:
• AI revenue is growing roughly 3× faster than the internet or mobile revolutions at comparable stages.
• Revenue formation is accelerating dramatically. In 2023, it took about 180 days for the industry to add the next $1 billion in revenue. Today, it takes less than 2 days.
• Enterprise AI has moved beyond experimentation, but full company-wide deployment is still in its early innings.
• AI was mentioned in earnings calls by 31% of tracked S&P 500 companies, yet only 20% quantified its financial impact.
• Hyperscaler AI revenue currently appears sufficient to cover AI infrastructure depreciation, although those economics rely heavily on long hardware lifespans around 6 years for GPUs and 14 years for other infrastructure.
• Lower AI prices aren’t shrinking the market. Every 10% reduction in token prices drives 12–18% more token usage, suggesting demand is highly price elastic.
• The biggest bottlenecks are no longer user demand? they’re power availability and the cost of building new data centers.
