OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Mostly fireproof. AI hands you the paperwork and steps back.
22% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Relay messages about emergencies, accidents, locations of crew and personnel, and fire hazard conditions
- Maintain records and logbooks
- Estimate sizes and characteristics of fires, and report findings to base camps by radio or telephone
- Compile and report meteorological data, such as temperature, relative humidity, wind direction and velocity, and types of cloud formations
- Locate forest fires on area maps, using azimuth sighters and known landmarks
WHAT IT STILL CAN’T
- Conduct wildland firefighting training
- Extinguish smaller fires with portable extinguishers, shovels, and axes
- Examine and inventory firefighting equipment, such as axes, fire hoses, shovels, pumps, buckets, and fire extinguishers, to determine amount and condition
- Educate the public about fire safety and prevention
- Direct maintenance and repair of firefighting equipment, or requisition new equipment
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 22% 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