EXPOSURE TO AI
18%
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.
18% 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 mill production on schedule sheets
- Calculate draft space and roll speed for each mill stand to plan rolling sequences and specified dimensions and tempers
- Examine, inspect, and measure raw materials and finished products to verify conformance to specifications
- Read rolling orders, blueprints, and mill schedules to determine setup specifications, work sequences, product dimensions, and installation procedures
WHAT IT STILL CAN’T
- Monitor machine cycles and mill operation to detect jamming and to ensure that products conform to specifications
- Adjust and correct machine set-ups to reduce thicknesses, reshape products, and eliminate product defects
- Start operation of rolling and milling machines to flatten, temper, form, and reduce sheet metal sections and to produce steel strips
- Manipulate controls and observe dial indicators to monitor, adjust, and regulate speeds of machine mechanisms
- Set distance points between rolls, guides, meters, and stops, according to specifications
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 18% 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