Exponential View

Azeem Azhar

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4 stories we have summarised that Exponential View covered.

Top AI users consume 8.3 times more tokens than typical firms

The top 10% of companies using OpenAI's products use 8.3 times more tokens, tokens being units that measure how much text a model processes, than median users. This shows a large gap between businesses that have integrated AI heavily into operations and those using it minimally or experimentally. The disparity suggests AI adoption is not uniform across companies, with some treating it as central to their work while others treat it as peripheral.

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Enterprise spending on advanced AI models stops growing

Businesses now use frontier models (the most capable AI systems available) for only 6% of their actual work, even though these models account for 11% of their AI spending. Token usage, the measure of how much text a model processes, has flatlined at this 6% level, suggesting companies have stopped increasing their purchases of expensive advanced models. The spending-to-usage gap indicates businesses may have hit a ceiling on how much they are willing to pay for cutting-edge AI relative to what they actually deploy it for.

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AI economy revenues hit $210 billion annualized run-rate

July AI revenues were three times higher than the previous year, based on annualized projections from current spending patterns. The $210 billion figure represents the yearly revenue trajectory if current monthly spending continues at the same pace. This tracks total revenues across the AI economy, not profits or a single company's performance.

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AI industry revenues hit $210 billion annualized rate in July

AI economy revenues reached a $210 billion annualized run-rate in July, up three times from the same month last year. This growth extends a trend documented in the State of the AI Economy 2026 report, which began tracking increases in June. The figure represents revenue across the entire AI industry, not a single company or product.

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