Last updated: June 2026. Organized into four topical silos — every report sourced, dated, and rated for confidence and freshness.
The Report AI Library is a primary-source-only collection of AI statistics — business and economics, enterprise adoption, technical performance, and workforce impact — with year-by-year context and an interactive comparison hub.
What makes this library different
- 🔗Every stat is sourced and dated. Each figure links to a primary source — no aggregator-only numbers.
- 🟢Confidence & freshness ratings. We mark how solid a number is and whether it’s Active, Stale, or Historical.
- 📅Year-by-year context. The “State of AI” timeline tracks 2022 through 2026.
- 📊Interactive comparisons. Eight year-over-year charts in the comparison hub.
AI at a glance
Enterprise AI adoption
Worldwide AI spend 2026
ChatGPT weekly users
Data-center power by 2030
Browse the Library by silo
Investment, government spending, market forecasts, industry spend, AI-native companies, the LLM market.
Organizational adoption, use patterns, generative AI, enterprise spend, agentic workflows.
Model benchmarks, test-time compute, AI infrastructure, safety and governance.
Jobs created and displaced, the AI skills premium, algorithmic management.
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Spotlight: featured data points
- 88% of organizations use AI in at least one business function (McKinsey).
- 23% of organizations are scaling agentic AI (McKinsey).
- Corporate AI investment reached $252.3 billion in 2024 (Stanford HAI).
- AI inference costs fell roughly 280-fold in under two years (Stanford HAI).