EXPOSURE TO AI
40%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
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
- Develop new calibration methods or techniques based on measurement science, analyses, or calibration requirements
- Plan sequences of calibration tests according to equipment specifications and scientific principles
- Write and submit reports about the results of calibration tests
- Analyze test data to identify defects or determine calibration requirements
- Attend conferences, workshops, or other training sessions to learn about new tools or methods
WHAT IT STILL CAN’T
- Calibrate devices by comparing measurements of pressure, temperature, humidity, or other environmental conditions to known standards
- Conduct calibration tests to determine performance or reliability of mechanical, structural, or electromechanical equipment
- Disassemble and reassemble equipment for inspection
- Maintain or repair measurement devices or equipment used for calibration testing
- Operate metalworking machines to fabricate housings, jigs, fittings, or fixtures
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