EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
47% 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
- Interpret safety regulations for others interested in industrial safety, such as safety engineers, labor representatives, and safety inspectors
- Participate in preparation of product usage and precautionary label instructions
- Write and revise safety regulations and codes
- Conduct research to evaluate safety levels for products
- Evaluate product designs for safety
WHAT IT STILL CAN’T
- Interview employers and employees to obtain information about work environments and workplace incidents
- Conduct or direct testing of air quality, noise, temperature, or radiation levels to verify compliance with health and safety regulations
- Maintain liaisons with outside organizations, such as fire departments, mutual aid societies, and rescue teams, so that emergency responses can be facilitated
- Check floors of plants to ensure that they are strong enough to support heavy machinery
- Inspect facilities, machinery, or safety equipment to identify and correct potential hazards, and to ensure safety regulation compliance
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 47% 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