EXPOSURE TO AI
40%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
40% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Maintain all required environmental records and documentation
- Examine credentials, licenses, or permits to ensure compliance with licensing requirements
- Maintain logbooks of daily activities, including areas visited or activities performed
- Prepare or review specifications or orders for the purchase of safety equipment, ensuring that proper features are present and that items conform to health and safety standards
- Conduct worker studies to determine whether specific instances of disease or illness are job-related
WHAT IT STILL CAN’T
- Test workplaces for environmental hazards, such as exposure to radiation, chemical or biological hazards, or excessive noise
- Prepare or calibrate equipment used to collect or analyze samples
- Supply, operate, or maintain personal protective equipment
- Verify availability or monitor use of safety equipment, such as hearing protection or respirators
- Help direct rescue or firefighting operations in the event of a fire or an explosion
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 40% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16