As of July 2026, Bus Drivers, School has an AI-exposure score of 44/100 (Moderate 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: The source mix for this role could not be verified. Treat the exposure score as lower-confidence until provenance is restored. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Bus Drivers, School

44/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 15% of the roles we track.

Will AI replace Bus Drivers, School?

No exposure score can predict whether AI will replace this role. The 44/100 score means our current model estimates moderate 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 our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

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.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Drive a school bus to transport students. Ensure adherence to safety rules. May assist students in boarding or exiting.

Common titles
Bus DriverPublic School Bus DriverSPED Bus Driver (Special Education Bus Driver)School Bus DriverBus Drive CoordinatorCDL Bus Driver (Commercial Driver's License Bus Driver)
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingMonitoringSocial PerceptivenessSpeakingCoordinationReading Comprehension
Work context
Frequent contact with othersDecision latitudeConsequence of error

Source: O*NET 29.1 exact occupation - Bus Drivers, School, SOC 53-3051.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Bus Drivers, School tasks, by AI exposure

Automatable
  • Record bus routes.
Augmentable
  • Prepare and submit reports that may include the number of students or trips, hours worked, mileage, or fuel consumption.
  • Pick up and drop off students at regularly scheduled neighborhood locations, following strict time schedules.
13 more augmentable tasks locked in the report.
Durable
  • Regulate heating, lighting, and ventilation systems for student comfort.

We analyzed all 17 Bus Drivers, School tasks - 1 automatable, 15 augmentable and 1 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

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.

Bus Drivers, Transit and Intercity
80% skills overlap; 11 points higher - higher exposure; Elevated band
View path
55
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Record bus routes.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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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

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.