OBSERVED IN REAL USE · Anthropic 2026
23%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
67% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Relay work orders, messages, or information to or from work crews, supervisors, or field inspectors, using telephones or two-way radios
- Receive or prepare work orders
- Record and maintain files or records of customer requests, work or services performed, charges, expenses, inventory, or other dispatch information
- Determine types or amounts of equipment, vehicles, materials, or personnel required, according to work orders or specifications
- Schedule or dispatch workers, work crews, equipment, or service vehicles to appropriate locations, according to customer requests, specifications, or needs, using radios or telephones
WHAT IT STILL CAN’T
- Almost nothing here is clearly out of reach. That’s the warning in this one.
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 67% 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