AI, BY THE
NUMBERS.
The one-stop source for AI statistics, reports and trends — adoption, enterprise use, investment, jobs, and the technology reshaping every industry.
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AI by the numbers — 2024 to 2026
Updated August 2026Every headline figure is primary-sourced and dated. Intermediate years in the spend series are interpolated from Gartner’s published growth rates and marked DERIVED.
Assistants, countries, ratings — one view.
Technical Performance →Intelligence Index of Qwen3.8-27B — a model that fits a single 24GB consumer GPU. Released 14 Aug 2026, Apache 2.0.
smaller than Kimi K3’s 2.8 trillion parameters — and only five index points behind it.
SWE-bench Pro for that same 27B model, against 64.7 for Grok 4.5. Three points, on agentic coding.
downloads of Alibaba’s models — past Meta and Google. The US frontier ships no weights at all.
Nine sections. Every figure sourced, dated, rated.
All indexes →Popular reports
Straight answers, sourced
Not really — 88% of organizations now use AI in at least one function. The catch: only a slim minority see real profit yet. (McKinsey)
Yes — about $2.5 trillion in 2026, more than the GDP of all but a handful of countries. (Gartner)
Both. Running yesterday’s models got ~280× cheaper in two years. (Stanford HAI)
The same figure, year over year.
Ten sourced comparison threads — models, laws, spend, adoption — each figure dated and rated, 2022–2030.
How we rate confidence
Stated directly in a primary source — a study, filing, or official dataset — and dated.
MediumReported by credible secondary coverage, or values that differ slightly across write-ups.
DerivedComputed by Report AI — interpolations and extrapolations, always labelled and explained.
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