EXPOSURE TO AI
5%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Robots can’t hold a hand, a scalpel, or your nerve.
5% 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
- Read blueprints and specifications to determine component parts and assembly sequences of electromechanical units
WHAT IT STILL CAN’T
- Inspect, test, and adjust completed units to ensure that units meet specifications, tolerances, and customer order requirements
- Position, align, and adjust parts for proper fit and assembly
- Assemble parts or units, and position, align, and fasten units to assemblies, subassemblies, or frames, using hand tools and power tools
- Connect cables, tubes, and wiring, according to specifications
- Measure parts to determine tolerances, using precision measuring instruments such as micrometers, calipers, and verniers
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 5% 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