Taxi Drivers and Chauffeurs
Transportation & Material MovingAI exposure
- Data source: BLSPublished: 2026-08
Moderate· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.28
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 73% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks onlyValues in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service.O*NET Task ID 23759 | 1.0 |
Complete accident reports when necessary.O*NET Task ID 23760 | 1.0 |
Determine fares based on trip distances and times, using taximeters and fee schedules, and announce fares to passengers.O*NET Task ID 23761 | 1.0 |
Notify dispatchers or company mechanics of vehicle problems.O*NET Task ID 23764 | 1.0 |
Provide passengers with information or advice about the local area, points of interest, hotels, or restaurants.O*NET Task ID 23769 | 0.5 |
Collect fares or vouchers from passengers, and make change or issue receipts as necessary.O*NET Task ID 23758 | 0.0 |
Drive taxicabs or privately owned vehicles to transport passengers.O*NET Task ID 23762 | 0.0 |
Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations.O*NET Task ID 23763 | 0.0 |
Perform minor vehicle repairs, such as cleaning spark plugs, or take vehicles to mechanics for servicing.O*NET Task ID 23765 | 0.0 |
Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.O*NET Task ID 23766 | 0.0 |
Pick up passengers at prearranged locations, at taxi stands, or by cruising streets in high-traffic areas.O*NET Task ID 23767 | 0.0 |
Provide passengers with assistance entering and exiting vehicles, and help them with any luggage.O*NET Task ID 23768 | 0.0 |
Report to taxicab services or garages to receive vehicle assignments.O*NET Task ID 23770 | 0.0 |
Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation.O*NET Task ID 23771 | 0.0 |
Turn the taximeter on when passengers enter the cab, and turn it off when they reach the final destination.O*NET Task ID 23772 | 0.0 |
Vacuum and clean interiors and wash and polish exteriors of automobiles.O*NET Task ID 23773 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page