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AI Statistics 2026: The Numbers That Matter

The credible numbers on AI adoption, spend and impact in 2026 — with sources.

TRTom RiedelJanuary 20, 2026Updated July 24, 20263 min read
AI Statistics 2026: The Numbers That Matter — illustration

Vendors quote big AI numbers. Analysts quote bigger ones. Below are the numbers that appear across multiple credible 2026 reports.

Table of contents

  • Adoption
  • Spend
  • Productivity
  • Jobs
  • FAQ

Adoption

Over 80% of large enterprises now use generative AI in at least one function. Over half use it in three or more.

Spend

Enterprise AI spend grew ~70% year-over-year into 2026 across surveys from Menlo, IDC and McKinsey.

Productivity

Well-designed AI workflows lift knowledge-worker throughput 25-40% on the tasks they cover, per multiple field studies.

Jobs

Task-level automation is significant; whole-role automation remains rare. Net job creation is positive in most sectors surveyed.

Caveats

Numbers are directional. Cite the specific source and year when it matters.

FAQ

Where do these come from?

Stanford AI Index, McKinsey State of AI, IDC, Menlo Enterprise AI Report and Bank of America surveys.

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