EXPOSURE TO AI
8%
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.
8% 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
- List parts needed, estimate costs, and plan work procedures, using parts lists, technical manuals, and diagrams
WHAT IT STILL CAN’T
- Seal open sides of modular units to prepare them for shipment, using polyethylene sheets, nails, and hammers
- Move and set up mobile homes or prefabricated buildings on owners' lots or at mobile home parks
- Inspect, examine, and test the operation of parts or systems to evaluate operating condition and to determine if repairs are needed
- Connect water hoses to inlet pipes of plumbing systems, and test operation of plumbing fixtures
- Remove damaged exterior panels, repair and replace structural frame members, and seal leaks, using hand tools
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 8% 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