Anthropic's robot exposure index: robots can technically do 74% of physical job tasks but are cost-competitive on only 0.3%
On Sept 30, 2026 Anthropic economists Russell Legate-Yang and Maxim Massenkoff published a robot exposure index. Claude rated about 19,000 O*NET tasks for what present-day robots can do. Robots can technically do 74% of physical tasks (34% of all working hours), and robots plus LLMs touch about 81% of job tasks. But robots are cost-competitive for only 0.3% of tasks today, and at historical price declines it would take about 40 years to reach 10%.
Key facts
- Authors: Russell Legate-Yang and Maxim Massenkoff (Anthropic); published Sept 30, 2026
- Method: Claude rated ~19,000 tasks across ~900 O*NET occupations on four tiers: E0 (cannot), E1 (purpose-built settings like factories), E2 (structured human facilities like warehouses), E3 (unstructured settings like city roads); weighted by time spent and BLS employment
- Robots can perform 74% of physical tasks today = 34% of all working hours; with LLMs, ~81% of job tasks are exposed
- Only 2% of physical work is in unstructured (E3) settings
- Cost: robots are cost-competitive for only 0.3% of job tasks; at a historical 3%/year price decline, reaching 10% would take ~40 years; a ~70% cost cut is needed for 10% of work to reach cost parity
- Most exposed: taxi drivers (index 2.2), shuttle drivers, chauffeurs, warehouse workers; driving jobs top the list due to autonomous vehicles
- Exposed workers are more likely male, less educated and lower-paid, with unemployment rates more than twice those of unexposed workers
- Validation: since 1977, jobs more exposed to existing robots saw larger wage and employment declines in later decades
- Dataset with Claude's reasoning and cited sources for every rated task released
What happened
Anthropic's economic research team extended its AI-exposure work from language tasks to physical work. Claude scored each task for whether a present-day robot could do it and in what kind of environment. The authors then layered on cost estimates and checked the index against decades of robot-adoption data.
Why it matters
It separates technical feasibility from economic feasibility. Most physical work is technically within reach of today's robots, but costs, not capability, keep nearly all of it from being automated now. The index itself depends on Claude's judgments, which the released dataset lets others audit.
Changelog
- 2026-10-01: created
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id: 2026-09-30-anthropic-robot-exposure-index · updated 2026-10-01 · open in the interactive timeline