EXPOSURE TO AI
9%
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.
9% 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
- Monitor and record biofuels processing data
- Monitor batch, continuous flow, or hybrid biofuels production processes
- Collect biofuels samples and perform routine laboratory tests or analyses to assess biofuels quality
- Coordinate raw product sourcing or collection
WHAT IT STILL CAN’T
- Operate valves, pumps, engines, or generators to control and adjust biofuels production
- Operate equipment, such as a centrifuge, to extract biofuels products and secondary by-products or reusable fractions
- Process refined feedstock with additives in fermentation or reaction process vessels
- Operate chemical processing equipment for the production of biofuels
- Measure and monitor raw biofuels feedstock
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 9% 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