EXPOSURE TO AI
17%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
17% 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 results of diagnostic tests
- Estimate costs of repairs, based on parts and labor charges
WHAT IT STILL CAN’T
- Install equipment and accessories, such as stereos, navigation equipment, communication equipment, and security systems
- Inspect and test electrical or electronic systems to locate and diagnose malfunctions, using visual inspections and testing instruments, such as oscilloscopes and voltmeters
- Cut openings and drill holes for fixtures and equipment, using electric drills and routers
- Splice wires with knives or cutting pliers, and solder connections to fixtures and equipment
- Diagnose or repair problems with electronic equipment, such as sound, navigation, communication, and security equipment, in motor vehicles
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 17% 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