EXPOSURE TO AI
18%
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.
18% 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 repairs made, time spent, and parts used
- Obtain problem descriptions from customers, and prepare cost estimates for repairs
- Sell parts and equipment
WHAT IT STILL CAN’T
- Test and inspect engines to determine malfunctions, to locate missing and broken parts, and to verify repairs, using diagnostic instruments
- Dismantle engines, using hand tools, and examine parts for defects
- Repair and maintain gasoline engines used to power equipment such as portable saws, lawn mowers, generators, and compressors
- Adjust points, valves, carburetors, distributors, and spark plug gaps, using feeler gauges
- Repair or replace defective parts such as magnetos, water pumps, gears, pistons, and carburetors, 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 18% 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