Bus Drivers, Transit and Intercity
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
0.18
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, 90% 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
| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Record information, such as cash receipts and ticket fares, and maintain log book.53-3052 | 0.00000.0 | 0.00000.0 |
Report delays or accidents. | —0 | 0.00000.0 |
| Not observed on any surface — 12 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Inspect vehicles and check gas, oil, and water levels prior to departure. | —0 | —0 |
Park vehicles at loading areas so that passengers can board. | —0 | —0 |
Advise passengers to be seated and orderly while on vehicles. | —0 | —0 |
Regulate heating, lighting, and ventilating systems for passenger comfort. | —0 | —0 |
Drive vehicles over specified routes or to specified destinations according to time schedules, complying with traffic regulations to ensure that passengers have a smooth and safe ride. | —0 | —0 |
Assist passengers, such as elderly or individuals with disabilities, on and off bus, ensure they are seated properly, help carry baggage, and answer questions about bus schedules or routes. | —0 | —0 |
Handle passenger emergencies or disruptions. | —0 | —0 |
Collect tickets or cash fares from passengers. | —0 | —0 |
Maintain cleanliness of bus or motor coach. | —0 | —0 |
Announce stops to passengers. | —0 | —0 |
Load and unload baggage in baggage compartments. | —0 | —0 |
Read maps to plan bus routes. | —0 | —0 |
Values 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 |
|---|---|
Report delays or accidents.O*NET Task ID 3148 | 1.0 |
Record information, such as cash receipts and ticket fares, and maintain log book.O*NET Task ID 18797 | 1.0 |
Announce stops to passengers.O*NET Task ID 21085 | 1.0 |
Read maps to plan bus routes.O*NET Task ID 21086 | 0.5 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page