# Anthropic AI Labor Market Impact Chart

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

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 is 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](https://xiry.app/topics/ai.md)
- 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](https://x.com/AndrewCurran_/status/2029655110494929194): Shows the gap between what LLMs could theoretically do and what is actually used, per occupation.

## Related

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- [Claude](https://xiry.app/resources/claude): Anthropic's conversational AI assistant for analysis, writing, and coding (Web app, Freemium)
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- [awesome-claude-skills](https://xiry.app/resources/awesome-claude-skills): Curated collection of skills, tools, and plugins for Claude workflows (GitHub repo, Open source)
- [Building a C compiler with a team of parallel Claudes](https://xiry.app/resources/building-a-c-compiler-with-a-team-of-parallel-claudes): Anthropic case study on autonomous agent teams building a C compiler. (Article or course, Free)
- [Claude 3 Manim Viewport Prompt](https://xiry.app/resources/claude-3-manim-viewport-prompt): Prompt template for generating bounded Manim animation code with Claude (Prompt, Free)

Updated 11 October 2026. Page: https://xiry.app/resources/anthropic-ai-labor-market-impact-chart

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