EXPOSURE TO AI
11%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
11% 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 work orders to determine production specifications and information
- Record data from operations, testing, and production on specified forms
WHAT IT STILL CAN’T
- Observe operation of equipment to ensure continuity of flow, safety, and efficient operation, and to detect malfunctions
- Examine materials, ingredients, or products, visually or with hands, to ensure conformance to established standards
- Move controls to start, stop, or adjust machinery and equipment that crushes, grinds, polishes, or blends materials
- Clean, adjust, and maintain equipment, using hand tools
- Weigh or measure materials, ingredients, or products at specified intervals to ensure conformance to requirements
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 11% 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