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Markets & investment

AI Economic Indicators: June 2026 Update

An initial research note introducing indicators for tracking AI’s economic and labor-market effects.

Publisher
Stanford Digital Economy Lab
Publication
June 2026
Length
13 pages
Language
English
£19 GBP

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Stanford Digital Economy Lab

AI Economic Indicators: June 2026 Update

2026 / RESEARCH

Independent research index / editorial cover

About this report

A research update organizing timely evidence about AI’s economic effects into several indicator families. It examines employment patterns by occupational exposure and age using payroll data, wider signs of economic transformation and survey-based adoption trends. The report distinguishes automation-oriented usage from augmentation and documents important sample restrictions. Use it to follow emerging labor-market signals and interrogate strong claims about AI’s effects, remembering that the payroll sample is not the entire economy and observed divergence does not, by itself, establish a causal mechanism.

The PDF is in English. This introduction and content guide are available in your selected language.

Who it is for

  • Researchers and analysts
  • People and workforce leaders
  • Policy and governance teams

Inside this report

  1. Employment patterns by occupational AI exposure
  2. Early-career workers and payroll-sample limits
  3. Automation versus augmentation usage
  4. Aggregate transformation indicators
  5. Individual and firm adoption monitoring
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