EXPOSURE TO AI
10%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
10% 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 production data, and maintain production logs
- Observe operations inside furnaces, using television screens, to ensure that problems do not occur
WHAT IT STILL CAN’T
- Regulate supplies of fuel and air, or control flow of electric current and water coolant to heat furnaces and adjust temperatures
- Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications
- Weigh materials to be charged into furnaces, using scales
- Observe air and temperature gauges or metal color and fluidity, and turn fuel valves or adjust controls to maintain required temperatures
- Operate controls to move or discharge metal workpieces from furnaces
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 10% 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