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AI exposure Transportation and material moving

Will AI replace bus drivers?

Bus Drivers, Transit and Intercity. US occupation 53-3052.

0.0%

of the time bus drivers spend on their work goes on tasks where AI is already being used to do that work.of bus drivers' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for bus driversWhat bus drivers no longer do alone

O*NET lists 13 tasks for bus drivers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

13 of the 13 tasks show no AI use at work in the data.

  • Advise passengers to be seated and orderly while on vehicles.Core task
  • Announce stops to passengers.Core task
  • Collect tickets or cash fares from passengers.Core task
  • 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.Core task
  • Handle passenger emergencies or disruptions.Core task
  • Inspect vehicles and check gas, oil, and water levels prior to departure.Core task
Show the other 7
  • Maintain cleanliness of bus or motor coach.Core task
  • Park vehicles at loading areas so that passengers can board.Core task
  • Record information, such as cash receipts and ticket fares, and maintain log book.Core task
  • Regulate heating, lighting, and ventilating systems for passenger comfort.Core task
  • Report delays or accidents.Core task
  • Load and unload baggage in baggage compartments.
  • Read maps to plan bus routes.

How that compares

Among the 44 transportation and material moving occupations, bus drivers rank 12. The group averages 0.6%, and its most exposed job is Passenger Attendants at 11.7%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Bridge and Lock Tenders 0.0%
  2. 346Bus and Truck Mechanics and Diesel Engine Specialists 0.0%
  3. 346Bus Drivers, School 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.