AI Statistics 2026: Adoption, Spend & Growth
Last updated May 1, 2026 · 15 statistics · Curated by AI Understanding (nonprofit)
These AI statistics for 2026 cover global adoption, enterprise spending, model capability, the jobs impact, and the public's perception of AI. Every number is sourced and dated.
AI Understanding is a 501(c)(3) nonprofit — we curate this list so journalists, students, and analysts can cite credible numbers in one place. If you cite a statistic, please link back to this page or the underlying source.
- #1
Global generative AI spending is projected to reach $644 billion in 2025.
Up 76% from 2024 — the fastest enterprise software category in modern history.
Source: Gartner · As of 2025-03-31
- #2
~70% of US adults have used a generative AI tool at least once.
ChatGPT remains the most-used product, but Gemini and Copilot are closing fast.
Source: Pew Research Center · As of 2025-08-15
- #3
92% of Fortune 500 companies use OpenAI products.
Up from 80% the prior year — enterprise adoption has reached saturation.
Source: OpenAI · As of 2025-10-01
- #4
AI is expected to contribute up to $15.7 trillion to the global economy by 2030.
PwC's forecast covers productivity gains and consumption-side stimulation.
Source: PwC · As of 2024-09-01
- #5
The average enterprise now uses 40+ distinct AI tools.
Up from 11 in 2023 — fragmentation is the dominant pattern, not consolidation.
Source: Andreessen Horowitz · As of 2025-04-01
- #6
ChatGPT has 800 million weekly active users.
Crossed 200M weekly in mid-2024, 400M in late 2024, 800M in early 2026.
Source: OpenAI · As of 2026-02-15
- #7
AI-related job postings grew 21% year-over-year.
Demand is concentrated in machine-learning engineering and AI-product roles.
Source: LinkedIn Economic Graph · As of 2025-11-01
- #8
Frontier model training compute doubles roughly every 6 months.
Compute scaling continues to outpace Moore's Law by ~5x.
Source: Epoch AI · As of 2025-12-01
- #9
Median annual salary for an AI engineer in the US is $213,000.
Senior roles at frontier labs exceed $1M including equity.
Source: Levels.fyi · As of 2026-01-01
- #10
AI safety research staffing at frontier labs grew 4x in two years.
Driven by regulator pressure and capability gains in autonomous agents.
Source: AI Index Report — Stanford HAI · As of 2025-04-15
- #11
70% of developers report using AI coding assistants daily.
GitHub Copilot, Cursor, and Claude Code dominate the category.
Source: Stack Overflow Developer Survey · As of 2025-07-01
- #12
AI is now cited as the #1 productivity driver by 56% of knowledge workers.
Up from 28% the prior year — workplace acceptance has flipped.
Source: McKinsey Global Institute · As of 2025-09-01
- #13
Companies using AI report 30% faster product cycles on average.
Largest gains in design, content, and code categories.
Source: Boston Consulting Group · As of 2025-06-01
- #14
Public trust in AI averages 51% globally — but ranges from 78% in India to 32% in France.
Trust correlates with positive use experience more than country of origin.
Source: Edelman Trust Barometer · As of 2026-01-20
- #15
94% of executives expect AI to be critical to their business within three years.
Up from 84% a year prior — the holdouts are shrinking fast.
Source: Deloitte State of AI in the Enterprise · As of 2025-10-15
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When citing these statistics, please credit the underlying source and link back to this page. AI Understanding is a 501(c)(3) nonprofit (EIN 41-3273048). Content here is licensed CC BY 4.0 — free to quote with attribution.