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. Sourced. Dated. Updated.
AI by the numbers — 2024 to 2026
The trend matters as much as the number. 2026 headline figures are sourced; 2024–2025 comparisons are illustrative estimates pending source confirmation.
Last updated: June 2026 · refreshed monthly
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Investment, government & industry spend, forecasts, the LLM market.
Adoption, use patterns, generative AI, agentic workflows.
Benchmarks, test-time compute, infrastructure, safety.
Jobs created & displaced, the AI skills premium.
Popular reports
- AI Adoption Statistics 2026 — organizations, workforce & consumers (June 25).
- The State of Enterprise AI in 2026 — adoption, the value gap & the shift to agents (June 18).
- AI in 2026, by the Numbers — eight statistics that define the year.
- 88% of Organizations Now Use AI — McKinsey’s headline adoption figure.
- Corporate AI Investment Hit $252.3B — the capital behind the boom.
- AI Inference Costs Fell ~280-Fold — why deployment got cheap.
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 from it yet. (McKinsey)
About 900M weekly users. But it’s no longer a one-horse race: Gemini and Meta AI each claim 600M+, with Copilot and Claude climbing fast. (reported)
Yes — about $2.5 trillion in 2026, more than the entire GDP of all but a handful of countries. (Gartner)
Both. Running yesterday’s models got ~280× cheaper in two years, even as frontier models cost more to build. (Stanford HAI)
It’s reshuffling more than replacing — and AI skills now carry a measurable wage premium. Browse our AI & Jobs coverage →
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