AI exposure: Taxi Drivers
Drive a motor vehicle to transport passengers on an unplanned basis and charge a fare, usually based on a meter.
Reading this score
computedAt 29.4% of weighted task load, Taxi Drivers sits at the 52th percentile, below the point where a job's centre of gravity has moved. 56.2% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 16 tasks it averages 2.06 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Determine fares based on trip distances and times, at 80.0%. The least is Vacuum and clean interiors and wash and polish exteriors of automobiles, at 0.0%. A gap of 80.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within transportation and material moving occupations, this one is more exposed than most. The median across the 52 roles in the group is 24.2%, and only 18 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 16 tasks, 8 are currently banded exposed, 0 assisted and 8 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.75 | 0-4 |
| Embodiment | 2.06 | 0-3 |
| Presence | 1.06 | 0-3 |
| Accountability | 0.78 | 0-3 |
| Context | 1.22 | 0-3 |
| Verification cost | 1.25 | 0-3 |
Task by task
16 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Determine fares based on trip distances and times, using taximeters and fee schedules, and announce fares to passengers. | 80.0% | 20.0% | 0.0% | – | exposed |
| Provide passengers with information or advice about the local area, points of interest, hotels, or restaurants. | 80.0% | 20.0% | 0.0% | – | exposed |
| Turn the taximeter on when passengers enter the cab, and turn it off when they reach the final destination. | 73.3% | 26.7% | 0.0% | – | exposed |
| Report to taxicab services or garages to receive vehicle assignments. | 60.0% | 15.0% | 25.0% | – | exposed |
| Complete accident reports when necessary. | 45.0% | 30.0% | 25.0% | – | exposed |
| Notify dispatchers or company mechanics of vehicle problems. | 45.0% | 30.0% | 25.0% | – | exposed |
| Collect fares or vouchers from passengers, and make change or issue receipts as necessary. | 36.7% | 13.3% | 50.0% | – | exposed |
| Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service. | 26.7% | 23.3% | 50.0% | – | exposed |
| Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation. | 10.0% | 15.0% | 75.0% | – | untouched |
| Drive taxicabs or privately owned vehicles to transport passengers. | 6.7% | 18.3% | 75.0% | – | untouched |
| Pick up passengers at prearranged locations, at taxi stands, or by cruising streets in high-traffic areas. | 6.7% | 18.3% | 75.0% | – | untouched |
| Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations. | 0.0% | 0.0% | 100.0% | – | untouched |
| Perform minor vehicle repairs, such as cleaning spark plugs, or take vehicles to mechanics for servicing. | 0.0% | 0.0% | 100.0% | – | untouched |
| Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water. | 0.0% | 0.0% | 100.0% | – | untouched |
| Provide passengers with assistance entering and exiting vehicles, and help them with any luggage. | 0.0% | 0.0% | 100.0% | – | untouched |
| Vacuum and clean interiors and wash and polish exteriors of automobiles. | 0.0% | 0.0% | 100.0% | – | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 16 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.