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Anthropic AI Labor Market Impact Chart

A radar chart comparing theoretical LLM task capability against observed occupational usage.

From the Xiry library · Updated 11 October 2026

This reference visual from Anthropic's Economic Index compares the theoretical capability of LLMs against actual real-world adoption across approximately 20 occupational categories. It illustrates that while theoretical task coverage is high across many white-collar fields like legal, education, and administration, observed usage remains largely concentrated in programming and select writing tasks. It provides a grounded benchmark for understanding the current gap between AI potential and actual workplace deployment.

The framework

Chart title: 'Theoretical capability and observed usage by occupational category'. Two series over ~20 occupational categories: Theoretical AI coverage (blue area, share of job tasks LLMs could theoretically perform) and Observed AI coverage (red area, usage-derived measure). Blue is highest (~0.8-0.9) in Computer & math, Architecture & engineering, Life & social sciences, Legal, Office & admin, Arts & media, Education & library, Business & finance, Management; blue is low in Transportation, Production, Installation & repair, Construction, Agriculture, Sales, Personal care, Grounds maintenance, Food & serving, Protective service, Healthcare support. Red observed coverage is small everywhere, with visible peaks only around Computer & math/Management region and small bumps near Office & admin and Healthcare; the two roughly coincide only in a few white-collar categories. Caption: 'This figure shows the share of job tasks that LLMs could theoretically perform (blue area) and our job coverage measure derived from usage data (red area).' Full report: https://cdn.sanity.io/files/4zrzovbb/website/dc7bcd0224644fce97cecb7f9e68dcd8434b35f1.pdf

What it's for

  • Benchmark realistic AI adoption gaps across occupational categories
  • Identify white-collar sectors with high potential but low current LLM adoption
  • Inform workforce strategy and research on AI labor market disruption

Key points

  • Radar chart comparing theoretical task coverage against observed usage data
  • Covers roughly 20 broad occupational categories from technical to manual labor
  • Highlights significant theoretical coverage (80-90%) in fields like computer science, legal, and administration
  • Demonstrates that real-world usage remains relatively low across almost all sectors
  • Distinguishes physical and service roles where theoretical AI capability remains naturally minimal

Pricing

Free

Details

Type
Framework
Category
AI
Topic
AI Research
Open source
No
Platforms
Web
For
Economists, labor researchers, product strategists, and enterprise technology planners.
Tags
labor market, anthropic, macroeconomics, workforce, llm adoption, data visualization

Why it was saved

  • @AndrewCurran_, 5 March 2026: Shows the gap between what LLMs could theoretically do and what is actually used, per occupation.

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