EXPOSURE TO AI
13%
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.
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
- Record operational data, personnel attendance, or meter and gauge readings on specified forms
WHAT IT STILL CAN’T
- Add chemicals, such as ammonia, chlorine, or lime, to disinfect and deodorize water and other liquids
- Collect and test water and sewage samples, using test equipment and color analysis standards
- Operate and adjust controls on equipment to purify and clarify water, process or dispose of sewage, and generate power
- Inspect equipment or monitor operating conditions, meters, and gauges to determine load requirements and detect malfunctions
- Maintain, repair, and lubricate equipment, using hand tools and power tools
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