EXPOSURE TO AI
16%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
16% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Record gauge readings, test results, and shift production in log books
- Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules
WHAT IT STILL CAN’T
- Monitor equipment operation, gauges, and panel lights to detect deviations from standards
- Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems
- Press and adjust controls to activate, set, and regulate equipment according to specifications
- Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications
- Transport materials and products to and from work areas, manually or using carts, handtrucks, or hoists
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 16% 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