EXPOSURE TO AI
13%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
3%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
13% 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 and interpret instruction manuals or technical drawings related to biomass-fueled power or biofuels production equipment or processes
- Record or report operational data, such as readings on meters, instruments, and gauges
- Assess quality of biomass feedstock
- Manage parts and supply inventories for biomass plants
WHAT IT STILL CAN’T
- Operate biomass fuel-burning boiler or biomass fuel gasification system equipment in accordance with specifications or instructions
- Perform tests of water chemistry in boilers
- Operate high-pressure steam boiler or water chiller equipment for electrical cogeneration operations
- Operate equipment to heat biomass, using knowledge of controls, combustion, and firing mechanisms
- Operate equipment to start, stop, or regulate biomass-fueled generators, generator units, boilers, engines, or auxiliary systems
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 13% 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