EXPOSURE TO AI
37%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
11%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
37% 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
- Reinstall software programs or adjust settings on existing software to fix machine malfunctions
- Maintain records of equipment maintenance work or repairs
- Complete repair bills, shop records, time cards, or expense reports
- Install and configure new equipment, including operating software or peripheral equipment
- Enter information into computers to copy programs from one electronic component to another or to draw, modify, or store schematics
WHAT IT STILL CAN’T
- Reassemble machines after making repairs or replacing parts
- Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices
- Align, adjust, or calibrate equipment according to specifications
- Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment
- Travel to customers' stores or offices to service machines or to provide emergency repair service
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 37% 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