EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
23%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
39% 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
- Assemble, maintain, or distribute information for library or record systems
- Compile, log, or record testing or operational data for review and further analysis
- Prepare notes, sketches, geological maps, or cross-sections
- Read and study reports in order to compile information and data for geological and geophysical prospecting
- Interview individuals, and research public databases in order to obtain information
WHAT IT STILL CAN’T
- Collect or prepare solid or fluid samples for analysis
- Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs
- Adjust or repair testing, electrical, or mechanical equipment or devices
- Operate or adjust equipment or apparatus used to obtain geological data
- Set up or direct set-up of instruments used to collect geological data
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 39% 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