Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 53-3051.00
Drive a school bus to transport students. Ensure adherence to safety rules. May assist students in boarding or exiting.
Also called: Bus Driver · Public School Bus Driver · SPED Bus Driver (Special Education Bus Driver) · School Bus Driver · Bus Drive Coordinator · CDL Bus Driver (Commercial Driver's License Bus Driver) · SPED School Bus Driver (Special Education School Bus Driver) · School Van Driver · Shuttle Bus Driver · Student Driver · Bus Monitor · CDL School Bus Driver (Commercial Driver's License School Bus Driver)
Job family: Transportation and Material Moving Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-3051-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
39th-percentile task overlap — yet about 61,000 openings a year (+0.2% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 35th | 0.4 | |
| AI assistant applicability (Microsoft) Moderate | 47th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.3), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Read maps and follow written and verbal geographic directions. | 1.1% | |
| Comply with traffic regulations to operate vehicles in a safe and courteous manner. | 0.2% | |
| Maintain knowledge of first-aid procedures. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +0.2% by 2034 |
| Projected annual openings | 61,000 |
| Employment 2024 → 2034 | 387,300 → 388,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Transportation | 4.5 | |
| Public Safety and Security | 4.0 | |
| Customer and Personal Service | 3.9 | |
| English Language | 3.7 | |
| Mechanical | 3.2 | |
| Law and Government | 3.1 | |
| Geography | 3.0 |
| Far Vision | 4.0 | |
| Near Vision | 3.8 | |
| Problem Sensitivity | 3.5 | |
| Reaction Time | 3.5 | |
| Depth Perception | 3.5 | |
| Speech Recognition | 3.5 | |
| Control Precision | 3.4 | |
| Multilimb Coordination | 3.4 | |
| Peripheral Vision | 3.4 | |
| Oral Comprehension | 3.3 | |
| Spatial Orientation | 3.3 | |
| Auditory Attention | 3.3 | |
| Speech Clarity | 3.3 | |
| Oral Expression | 3.1 | |
| Information Ordering | 3.1 | |
| Selective Attention | 3.1 | |
| Time Sharing | 3.1 | |
| Arm-Hand Steadiness | 3.1 | |
| Response Orientation | 3.1 | |
| Rate Control | 3.1 | |
| Visual Color Discrimination | 3.1 | |
| Deductive Reasoning | 3.0 |
| Active Listening | 3.4 | |
| Critical Thinking | 3.4 | |
| Monitoring | 3.4 | |
| Speaking | 3.1 | |
| Reading Comprehension | 3.0 |
| Social Perceptiveness | 3.3 | |
| Operations Monitoring | 3.1 | |
| Coordination | 3.0 | |
| Service Orientation | 3.0 | |
| Operation and Control | 2.9 | |
| Judgment and Decision Making | 2.9 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Windows | Operating system software | Hot technology |
| AOL MapQuest | Map creation software | |
| Web browser software | Internet browser software |
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| High School Diploma | 59.3% | |
| Less than a High School Diploma | 37.3% | |
| Post-Secondary Certificate | 3.5% |
The interests and personal qualities O*NET associates with people who do this work.
| Transportation/Machine Operation | 6.5 | |
| Physical/Manual Labor | 2.5 | |
| Protective Service | 2.4 | |
| Mechanics/Electronics | 2.3 | |
| Personal Service | 2.2 | |
| Social Service | 2.1 |
| Realistic | 5.5 | |
| Conventional | 4.7 | |
| Social | 4.5 | |
| Enterprising | 2.2 |
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Cautiousness | 2.8 | |
| Integrity | 2.2 | |
| Cooperation | 2.0 | |
| Self-Control | 1.9 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $27,680 |
| 25th percentile | $37,490 |
| Median (50th) | $47,040 |
| 75th percentile | $56,140 |
| 90th percentile | $63,810 |
| People employed | 387,920 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Educational Services · Sector | 201,110 | $42,630 |
| Transportation and Warehousing · Sector | 142,760 | $49,200 |
| Health Care and Social Assistance · Sector | 5,200 | $38,900 |
| Other Services (except Public Administration) · Sector | 630 | $41,200 |
| Services for the Elderly and Persons with Disabilities · National industry | 200 | $26,310 |
| Arts, Entertainment, and Recreation · Sector | 100 | $44,020 |
| Fitness and Recreational Sports Centers · National industry | 100 | $44,020 |
| Management of Companies and Enterprises · Sector | — | $44,290 |
| Administrative and Support and Waste Management and Remediation Services · Sector | — | $54,450 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Transportation and Warehousing · Sector | 7.68× | 142,760 |
| Educational Services · Sector | 5.86× | 201,110 |
| Health Care and Social Assistance · Sector | 0.09× | 5,200 |
| Fitness and Recreational Sports Centers · National industry | 0.06× | 100 |
| Other Services (except Public Administration) · Sector | 0.06× | 630 |
| Services for the Elderly and Persons with Disabilities · National industry | 0.03× | 200 |
| Arts, Entertainment, and Recreation · Sector | 0.02× | 100 |
Part of the Supply Chain & Transportation career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Bus Drivers, School — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Bus Drivers, School show 39th-percentile AI task overlap — and about 61,000 annual U.S. openings
Bus Drivers, School show 39th-percentile AI task overlap — and about 61,000 annual U.S. openings • Bus Drivers, School rank in the 39th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 61,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+0.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $47,040, across about 387,920 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Bus Drivers, School". https://singulariki.com/roles/role-53-3051-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Bus Drivers, School." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-53-3051-00
Singulariki. (2026). Bus Drivers, School. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-3051-00
@misc{singulariki-role-53-3051-00,
title = {Bus Drivers, School},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-53-3051-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.