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Bus and Truck Mechanics and Diesel Engine Specialists

Occupation · SOC 49-3031.00

Diagnose, adjust, repair, or overhaul buses and trucks, or maintain and repair any type of diesel engines. Includes mechanics working primarily with automobile or marine diesel engines.

Also called: Bus Mechanic · Diesel Mechanic · Diesel Technician (Diesel Tech) · Truck Mechanic · Fleet Mechanic · General Repair Mechanic · Heavy Truck Mechanic · Service Technician · Trailer Mechanic · Transit Mechanic · Biodiesel Engine Specialist · Boat Diesel Motor Mechanic

Job family: Installation, Maintenance, and Repair Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-3031-00/context.md directly.

AI work map

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.

14th-percentile task overlap — yet about 26,500 openings a year (+2.4% projected, BLS) . What exposure means →

AI & job outlook

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.

Exposure to current AI

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
Overall AI exposure (Felten et al.) Low 17th -1.0
LLM task exposure, γ (OpenAI / Eloundou) Low 3rd 0.0
AI assistant applicability (Microsoft) Low 30th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.7 · 60th percentile among occupations · Moderate

How AI is actually used in this job

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.

Inspect and verify dimensions and clearances of parts to ensure conformance to factory specifications. 0.8%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +2.4% by 2034
Projected annual openings 26,500
Employment 2024 → 2034 319,900 → 327,700

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

18% mean task exposure (2025)
26th percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Motor Vehicle Mechanics and Repairers · 7231 18% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 26 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Mechanical 4.7
Transportation 3.9
Education and Training 3.5
English Language 3.5
Public Safety and Security 3.4
Mathematics 3.3
Computers and Electronics 3.3
Administration and Management 3.0

Transferable skills

Troubleshooting 4.0
Repairing 4.0
Operations Monitoring 3.5
Equipment Maintenance 3.4
Quality Control Analysis 3.3
Equipment Selection 3.1
Judgment and Decision Making 3.1
Complex Problem Solving 3.0
Operation and Control 3.0

Abilities

Near Vision 4.0
Arm-Hand Steadiness 3.9
Manual Dexterity 3.9
Finger Dexterity 3.9
Control Precision 3.8
Hearing Sensitivity 3.8
Problem Sensitivity 3.6
Deductive Reasoning 3.6
Multilimb Coordination 3.6
Extent Flexibility 3.5
Information Ordering 3.4
Trunk Strength 3.4
Visualization 3.3
Oral Comprehension 3.1
Oral Expression 3.1
Inductive Reasoning 3.1
Flexibility of Closure 3.1
Depth Perception 3.1
Auditory Attention 3.1

Essential skills

Critical Thinking 3.3
Speaking 3.1
Active Listening 3.0
Monitoring 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Autodesk AutoCAD Computer aided design CAD software Hot technology
Dassault Systemes SolidWorks Computer aided design CAD software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Computerized maintenance management system software CMMS Facilities management software
Cummins INSITE Analytical or scientific software
Dassault Systemes CATIA Computer aided design CAD software
Database software Data base user interface and query software
Engine diagnostic software Analytical or scientific software
Fleet management software Materials requirements planning logistics and supply chain software
Inventory tracking software Inventory management software
Scheduling software Calendar and scheduling software
Shop management software Facilities management software

Work context

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.

Exposed to Contaminants 4.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.8
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
In an Enclosed Vehicle or Operate Enclosed Equipment 4.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.6
Health and Safety of Other Workers 4.5
Indoors, Not Environmentally Controlled 4.5
Importance of Being Exact or Accurate 4.4
Spend Time Bending or Twisting Your Body 4.4
Spend Time Standing 4.4
Exposed to Cramped Work Space, Awkward Positions 4.3
Impact of Decisions on Co-workers or Company Results 4.3
Outdoors, Exposed to All Weather Conditions 4.3
Exposed to Hazardous Equipment 4.3
Determine Tasks, Priorities and Goals 4.3
Contact With Others 4.3
Frequency of Decision Making 4.2
Exposed to Very Hot or Cold Temperatures 4.2
Spend Time Making Repetitive Motions 4.1
Freedom to Make Decisions 4.1
Time Pressure 4.1
Spend Time Kneeling, Crouching, Stooping, or Crawling 4.0
Work Outcomes and Results of Other Workers 3.9
Work With or Contribute to a Work Group or Team 3.8
Exposed to Minor Burns, Cuts, Bites, or Stings 3.8
Telephone Conversations 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Spend Time Walking or Running 3.7
Exposed to Hazardous Conditions 3.5
Consequence of Error 3.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.2
Importance of Repeating Same Tasks 3.2
In an Open Vehicle or Operating Equipment 3.1
Spend Time Keeping or Regaining Balance 3.1
Physical Proximity 3.1
E-Mail 3.0
Level of Competition 3.0
Outdoors, Under Cover 3.0
Dealing With Unpleasant, Angry, or Discourteous People 2.9

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Mechanic and Repair Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Post-Secondary Certificate 39.5%
High School Diploma 36.9%
Less than a High School Diploma 1.0%
Associate's Degree (or other 2-year degree) 0.7%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 3.7
Investigative 3.3
Social 1.5

Interest areas

Mechanics/Electronics 6.6
Physical/Manual Labor 5.9
Engineering 4.4
Transportation/Machine Operation 2.9
Information Technology 1.7
Mathematics/Statistics 1.6
Physical Science 1.4
Construction/Woodwork 1.3

Work styles

Dependability 2.5
Attention to Detail 2.4
Cautiousness 2.0
Perseverance 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$42k10th$49k25th$61kMedian$74k75th$86k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
320k2024328k2034 (proj.)+2.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $41,670
25th percentile $49,240
Median (50th) $60,640
75th percentile $73,690
90th percentile $85,980
People employed 287,230

Industries that employ this occupation

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
Transportation and Warehousing · Sector 88,350 $59,440
Wholesale Trade · Sector 43,110 $62,370
Other Services (except Public Administration) · Sector 34,190 $60,080
Administrative and Support and Waste Management and Remediation Services · Sector 17,010 $60,110
Manufacturing · Sector 15,780 $63,230
Real Estate and Rental and Leasing · Sector 14,990 $58,600
Retail Trade · Sector 12,300 $57,100
Educational Services · Sector 10,510 $51,850
Construction · Sector 9,430 $62,940
Mining, Quarrying, and Oil and Gas Extraction · Sector 3,050 $61,620
Utilities · Sector 2,600 $96,860
Professional, Scientific, and Technical Services · Sector 1,790 $63,510

Where this work is most concentrated

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 6.42× 88,350
Other Services (except Public Administration) · Sector 4.15× 34,190
Wholesale Trade · Sector 3.83× 43,110
Real Estate and Rental and Leasing · Sector 3.4× 14,990
Mining, Quarrying, and Oil and Gas Extraction · Sector 2.85× 3,050
Farm and Garden Machinery and Equipment Merchant Wholesalers · National industry 2.78× 590
Utilities · Sector 2.41× 2,600
Power and Communication Line and Related Structures Construction · National industry 1.7× 740

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Bus and Truck Mechanics and Diesel Engine Specialists sits at the 14th percentile of AI task-overlap and the 47th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Bus and Truck Mechanics and Diesel Engine Specialists Industrial Truck and Tractor Operators Rail Car Repairers Motorboat Mechanics and Service Technicians Aircraft Mechanics and Service Technicians Automotive Service Technicians and Mechanics Stationary Engineers and Boiler Operators AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Bus and Truck Mechanics and Diesel Engine Specialists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 26th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Bus and Truck Mechanics and Diesel Engine Specialists show 14th-percentile AI task overlap — and about 26,500 annual U.S. openings

  • Bus and Truck Mechanics and Diesel Engine Specialists rank in the 14th percentile (Low 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 26,500 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 (+2.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $60,640, across about 287,230 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Bus and Truck Mechanics and Diesel Engine Specialists show 14th-percentile AI task overlap — and about 26,500 annual U.S. openings

• Bus and Truck Mechanics and Diesel Engine Specialists rank in the 14th percentile (Low 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 26,500 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 (+2.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $60,640, across about 287,230 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Bus and Truck Mechanics and Diesel Engine Specialists". https://singulariki.com/roles/role-49-3031-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

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.

Sources for this page

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.

Cite this page
Plain

Singulariki. "Bus and Truck Mechanics and Diesel Engine Specialists." 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-49-3031-00

APA

Singulariki. (2026). Bus and Truck Mechanics and Diesel Engine Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-3031-00

BibTeX
@misc{singulariki-role-49-3031-00,
  title  = {Bus and Truck Mechanics and Diesel Engine Specialists},
  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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-49-3031-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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