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Tire Repairers and Changers

Occupation · SOC 49-3093.00

Repair and replace tires.

Also called: Service Technician · Tire Changer · Tire Shop Mechanic · Tire Technician · Alignment Technician · Lube Technician · Tire Buster · Tire Installer · Tire Repairer · Automotive Tire Worker (Auto Tire Worker) · Brake and Alignment Technician (Brake and Alignment Tech) · Commercial Tire Service Tech (Commercial Tire Service Technician)

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-49-3093-00/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.

1st-percentile task overlap — yet about 15,300 openings a year (+5.7% 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 5th -1.6
LLM task exposure, γ (OpenAI / Eloundou) Low 3rd 0.0
AI assistant applicability (Microsoft) Low 4th 0.0

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 · 58th percentile among occupations · Moderate

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 · +5.7% by 2034
Projected annual openings 15,300
Employment 2024 → 2034 113,400 → 119,900

“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 4.0
Customer and Personal Service 3.6
Administration and Management 3.2
Sales and Marketing 3.0
English Language 2.9
Public Safety and Security 2.9
Production and Processing 2.8

Abilities

Trunk Strength 3.8
Manual Dexterity 3.6
Multilimb Coordination 3.6
Static Strength 3.5
Extent Flexibility 3.4
Near Vision 3.4
Problem Sensitivity 3.1
Oral Comprehension 3.0
Oral Expression 3.0
Deductive Reasoning 3.0
Inductive Reasoning 3.0
Information Ordering 3.0
Arm-Hand Steadiness 3.0
Finger Dexterity 3.0
Control Precision 3.0
Speech Clarity 3.0
Written Comprehension 2.9
Selective Attention 2.9
Reaction Time 2.9
Far Vision 2.9
Speech Recognition 2.9

Essential skills

Active Listening 3.0
Speaking 3.0
Critical Thinking 3.0
Monitoring 2.9

Transferable skills

Service Orientation 3.0
Time Management 3.0
Operations Monitoring 2.9
Troubleshooting 2.9
Repairing 2.9
Quality Control Analysis 2.9
Social Perceptiveness 2.8
Coordination 2.8

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
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology
Microsoft Word Word processing software Hot technology
Project estimation software Project management software
Recordkeeping software Data base user interface and query 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.

Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.8
Spend Time Standing 4.7
Indoors, Not Environmentally Controlled 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.6
Importance of Being Exact or Accurate 4.5
Contact With Others 4.5
Work With or Contribute to a Work Group or Team 4.4
Exposed to Contaminants 4.4
Exposed to Very Hot or Cold Temperatures 4.3
Deal With External Customers or the Public in General 4.2
Time Pressure 4.2
Spend Time Bending or Twisting Your Body 4.1
Frequency of Decision Making 4.1
Telephone Conversations 4.0
Spend Time Walking or Running 4.0
Freedom to Make Decisions 4.0
Spend Time Making Repetitive Motions 4.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.0
Impact of Decisions on Co-workers or Company Results 4.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.9
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.9
Health and Safety of Other Workers 3.9
Exposed to Hazardous Equipment 3.8
In an Enclosed Vehicle or Operate Enclosed Equipment 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Determine Tasks, Priorities and Goals 3.7
Consequence of Error 3.7
Work Outcomes and Results of Other Workers 3.6
Physical Proximity 3.6
Exposed to Cramped Work Space, Awkward Positions 3.5
Importance of Repeating Same Tasks 3.5
Dealing With Unpleasant, Angry, or Discourteous People 3.4
Exposed to Hazardous Conditions 3.3
Conflict Situations 3.3
Level of Competition 3.3
Outdoors, Exposed to All Weather Conditions 2.9
Pace Determined by Speed of Equipment 2.8
Exposed to Minor Burns, Cuts, Bites, or Stings 2.8
Outdoors, Under Cover 2.8
E-Mail 2.7

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

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

High School Diploma 41.0%
Less than a High School Diploma 27.3%
Post-Secondary Certificate 26.4%
First Professional Degree 2.4%
Associate's Degree (or other 2-year degree) 2.0%
Some College Courses 0.9%

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 3.4
Investigative 1.8
Social 1.8
Enterprising 1.6

Interest areas

Physical/Manual Labor 6.1
Mechanics/Electronics 5.1
Transportation/Machine Operation 2.8
Engineering 1.8
Personal Service 1.5
Sales 1.3
Management/Administration 1.2
Construction/Woodwork 1.2

Work styles

Dependability 2.1
Attention to Detail 1.9
Cautiousness 1.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$34k25th$37kMedian$44k75th$49k90th
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.
113k2024120k2034 (proj.)+5.7% · 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 $29,880
25th percentile $33,990
Median (50th) $37,120
75th percentile $43,810
90th percentile $48,900
People employed 106,620

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
Retail Trade · Sector 86,110 $36,880
Other Services (except Public Administration) · Sector 10,250 $35,760
Wholesale Trade · Sector 4,880 $42,610
Manufacturing · Sector 1,500 $45,850
Transportation and Warehousing · Sector 1,050 $41,660
Real Estate and Rental and Leasing · Sector 730 $40,560
Management of Companies and Enterprises · Sector 620 $37,910
Mining, Quarrying, and Oil and Gas Extraction · Sector 150 $83,360
Construction · Sector 60 $48,840
Professional, Scientific, and Technical Services · Sector $37,640

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
Retail Trade · Sector 7.99× 86,110
Other Services (except Public Administration) · Sector 3.35× 10,250
Wholesale Trade · Sector 1.17× 4,880
Real Estate and Rental and Leasing · Sector 0.45× 730
Mining, Quarrying, and Oil and Gas Extraction · Sector 0.38× 150
Management of Companies and Enterprises · Sector 0.32× 620
Transportation and Warehousing · Sector 0.21× 1,050
Manufacturing · Sector 0.17× 1,500

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Tire Repairers and Changers sits at the 1st percentile of AI task-overlap and the 7th 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 Tire Repairers and Changers Tire Builders Automotive Glass Installers and Repairers Rail Car Repairers Automotive Body and Related Repairers Bus and Truck Mechanics and Diesel Engine Specialists Bicycle Repairers 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 Tire Repairers and Changers — 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

Tire Repairers and Changers show 1st-percentile AI task overlap — and about 15,300 annual U.S. openings

  • Tire Repairers and Changers rank in the 1st 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 15,300 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 (+5.7%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $37,120, across about 106,620 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Tire Repairers and Changers show 1st-percentile AI task overlap — and about 15,300 annual U.S. openings

• Tire Repairers and Changers rank in the 1st 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 15,300 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 (+5.7%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $37,120, across about 106,620 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Tire Repairers and Changers". https://singulariki.com/roles/role-49-3093-00
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. "Tire Repairers and Changers." 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; 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-49-3093-00

APA

Singulariki. (2026). Tire Repairers and Changers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-3093-00

BibTeX
@misc{singulariki-role-49-3093-00,
  title  = {Tire Repairers and Changers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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-49-3093-00}
}

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

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