UK AI Exposure · Process, plant and machine operatives
Bus and coach drivers
Bus and coach drivers drive road passenger-carrying vehicles such as buses, coaches and mini-buses.
- Employees (UK)
- 83k
- Median annual pay
- £33,947
- Exposure score ?
- 3.9/10 Low direct 3.9 · with tools 3.9
- Wage exposure
- £1.10bn
Higher exposure than 94% of the 379 UK occupations we scored.
What this score means
A handful of tasks in this role are touchable by AI, mostly around paperwork, scheduling and basic writing. The shape of the role stays the same - some parts just get faster.
If you're in this role, here's what to do now
Pick the two or three most repetitive things in your week and try an LLM on them. Most people underestimate what Claude or ChatGPT can already do for admin-shaped work. The time you get back is the dividend.
The tasks in this role, ranked by AI exposure
Below are the real tasks O*NET records for this occupation, sorted highest exposure first. "AI can do this" means a language model can already handle the task directly. "AI can help" means an LLM can assist but not replace. "Human work" means today's AI doesn't touch it. Importance is O*NET's 1–5 rating of how central each task is to the role.
4 of 10 tasks in this role are things an AI can already do today. Task list mapped via O*NET "Subway and Streetcar Operators" (53-4041.00).
Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios.
Make announcements to passengers, such as notifications of upcoming stops or schedule delays.
Complete reports, including shift summaries and incident or accident reports.
Greet passengers, provide information, and answer questions concerning fares, schedules, transfers, and routings.
Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards.
Operate controls to open and close transit vehicle doors.
Drive and control rail-guided public transportation, such as subways, elevated trains, and electric-powered streetcars, trams, or trolleys, to transport passengers.
Regulate vehicle speed and the time spent at each stop to maintain schedules.
Direct emergency evacuation procedures.
Attend meetings on driver and passenger safety to learn ways in which job performance might be affected.
Where a project with Alex usually starts for this role
These are the highest-importance tasks in this role that a language model can already handle directly. In a typical engagement the first wins come from building workflows around these, so they stop eating your team's time.
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Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios.
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Make announcements to passengers, such as notifications of upcoming stops or schedule delays.
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Complete reports, including shift summaries and incident or accident reports.
Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →
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Methodology
This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.
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