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
- Record temperatures, amounts of materials processed, or test results on report forms
WHAT IT STILL CAN’T
- Monitor pressure gauges, ammeters, flowmeters, thermometers, or products, and adjust controls to maintain specified conditions, such as feed rate, product consistency, temperature, air pressure, and machine speed
- Read dials and gauges on panel control boards to ascertain temperatures, alkalinities, and densities of mixtures, and turn valves to obtain specified mixtures
- Start machinery, such as pumps, feeders, or conveyors, and turn valves to heat, admit, or transfer products, refrigerants, or mixes
- Correct machinery malfunctions by performing actions such as removing jams, and inform supervisors of malfunctions as necessary
- Assemble equipment, and attach pipes, fittings, or valves, 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