As of July 2026,
Shuttle Drivers and Chauffeurs has an AI-exposure score of 52/100
(Elevated exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
O*NET-derived modeled estimate. No matched Penn, Anthropic, or AIOE occupation signal was available for this role. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.
Shuttle Drivers and Chauffeurs
More exposed than 36% of the roles we track.
Will AI replace Shuttle Drivers and Chauffeurs?
No exposure score can predict whether AI will replace this role. The 52/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Transportation roles
What this role usually involves
Drive a motor vehicle to transport passengers on a planned or scheduled basis. May collect a fare. Includes nonemergency medical transporters and hearse drivers.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Shuttle Drivers and Chauffeurs, SOC 53-3053.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Shuttle Drivers and Chauffeurs tasks, by AI exposure
- Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service.
- Prepare and submit reports that may include the number of passengers or trips, hours worked, mileage driven fuel consumed, or fares received.
- Arrange to pick up particular customers or groups on a regular schedule.
- Complete accident reports when necessary.
- Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water.
No durable tasks identified for this role - its real, individually-assessed tasks consistently read as augmentable (60%).
We analyzed all 20 Shuttle Drivers and Chauffeurs tasks - 8 automatable and 12 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
Generation starts after checkout; reports are typically ready within a few minutes.