OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
28% 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
- Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service
- Complete accident reports when necessary
- Determine fares based on trip distances and times, using taximeters and fee schedules, and announce fares to passengers
- Notify dispatchers or company mechanics of vehicle problems
- Provide passengers with information or advice about the local area, points of interest, hotels, or restaurants
WHAT IT STILL CAN’T
- Collect fares or vouchers from passengers, and make change or issue receipts as necessary
- Drive taxicabs or privately owned vehicles to transport passengers
- Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations
- Perform minor vehicle repairs, such as cleaning spark plugs, or take vehicles to mechanics for servicing
- Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water
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 28% 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