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Home Appliance Repairers

Occupation · SOC 49-9031.00

Repair, adjust, or install all types of electric or gas household appliances, such as refrigerators, washers, dryers, and ovens.

Also called: Appliance Technician (Appliance Tech) · Repair Technician · Service Technician (Service Tech) · Vacuum Repairer · Appliance Mechanic · Appliance Repair Mechanic · Appliance Repair Technician (Appliance Repair Tech) · Appliance Service Technician · Repair Man · Air-Conditioner Window Unit Installer (AC Window Unit Installer) · Air-Conditioner Window Unit Servicer (AC Window Unit Servicer) · Appliance Adjuster

Job family: Installation, Maintenance, and Repair Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-9031-00/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.

26th-percentile task overlap — yet about 3,100 openings a year (+2.6% 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 19th -1.0
LLM task exposure, γ (OpenAI / Eloundou) Low 26th 0.2
AI assistant applicability (Microsoft) Moderate 40th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.2). 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 · 59th 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.

Refer to schematic drawings, product manuals, and troubleshooting guides to diagnose and repair problems. 0.5%

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 · +2.6% by 2034
Projected annual openings 3,100
Employment 2024 → 2034 37,300 → 38,300

“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.

17% mean task exposure (2025)
24th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Electrical Mechanics and Fitters · 7412 17% 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 31 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

Customer and Personal Service 4.1
Mechanical 4.0
English Language 3.4
Administration and Management 3.4
Administrative 3.4
Computers and Electronics 3.4
Sales and Marketing 3.2
Engineering and Technology 3.0

Transferable skills

Repairing 3.9
Equipment Maintenance 3.6
Troubleshooting 3.6
Operations Monitoring 3.5
Quality Control Analysis 3.5
Complex Problem Solving 3.1
Service Orientation 3.0
Equipment Selection 3.0
Installation 3.0
Judgment and Decision Making 3.0
Time Management 3.0

Abilities

Arm-Hand Steadiness 3.9
Oral Expression 3.8
Problem Sensitivity 3.8
Manual Dexterity 3.8
Finger Dexterity 3.8
Near Vision 3.8
Oral Comprehension 3.6
Information Ordering 3.3
Visualization 3.3
Extent Flexibility 3.3
Written Comprehension 3.1
Deductive Reasoning 3.1
Written Expression 3.0
Fluency of Ideas 3.0
Inductive Reasoning 3.0
Flexibility of Closure 3.0
Selective Attention 3.0

Essential skills

Critical Thinking 3.8
Speaking 3.5
Active Listening 3.4
Reading Comprehension 3.1

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 Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
dESCO ESC Data base user interface and query software
Intac International Wintac Data base user interface and query software
Parts database software Data base user interface and query software
RazorSync Data base user interface and query software
Route mapping software Route navigation software
ServiceMax Data base user interface and query software
Web browser software Internet browser 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.

Telephone Conversations 4.9
Contact With Others 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
Deal With External Customers or the Public in General 4.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
Freedom to Make Decisions 4.5
Frequency of Decision Making 4.4
Importance of Being Exact or Accurate 4.2
In an Enclosed Vehicle or Operate Enclosed Equipment 4.2
Determine Tasks, Priorities and Goals 4.1
Exposed to Cramped Work Space, Awkward Positions 4.1
Indoors, Environmentally Controlled 4.0
Impact of Decisions on Co-workers or Company Results 4.0
Exposed to Minor Burns, Cuts, Bites, or Stings 3.9
Exposed to Very Hot or Cold Temperatures 3.9
Exposed to Contaminants 3.9
Time Pressure 3.7
Indoors, Not Environmentally Controlled 3.7
Physical Proximity 3.7
Work With or Contribute to a Work Group or Team 3.6
E-Mail 3.6
Dealing With Unpleasant, Angry, or Discourteous People 3.6
Outdoors, Exposed to All Weather Conditions 3.5
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.5
Spend Time Bending or Twisting Your Body 3.3
Coordinate or Lead Others in Accomplishing Work Activities 3.3
Spend Time Standing 3.2
Level of Competition 3.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.1
Spend Time Making Repetitive Motions 3.1
Exposed to Hazardous Conditions 3.1
Conflict Situations 3.0
Importance of Repeating Same Tasks 3.0
Work Outcomes and Results of Other Workers 3.0
Outdoors, Under Cover 2.9
Exposed to Hazardous Equipment 2.9
Spend Time Walking or Running 2.7
Written Letters and Memos 2.7
Health and Safety of Other Workers 2.6
Consequence of Error 2.6

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.

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.

High School Diploma 69.0%
Post-Secondary Certificate 20.3%
Less than a High School Diploma 7.6%
Associate's Degree (or other 2-year degree) 3.1%

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 4.8
Investigative 2.3
Social 1.6

Interest areas

Mechanics/Electronics 6.5
Physical/Manual Labor 5.0
Engineering 3.8
Personal Service 1.8
Construction/Woodwork 1.7
Information Technology 1.6
Sales 1.6

Work styles

Dependability 3.0
Attention to Detail 2.3
Cautiousness 2.1
Integrity 1.7
Perseverance 1.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$33k10th$40k25th$49kMedian$62k75th$78k90th
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.
37k202438k2034 (proj.)+2.6% · 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 $33,280
25th percentile $40,280
Median (50th) $49,410
75th percentile $61,750
90th percentile $77,800
People employed 31,940

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
Other Services (except Public Administration) · Sector 13,520 $50,070
Retail Trade · Sector 12,050 $46,790
Wholesale Trade · Sector 3,330 $49,970
Construction · Sector 880 $58,240
Plumbing, Heating, and Air-Conditioning Contractors · National industry 410 $55,560
Real Estate and Rental and Leasing · Sector 360 $42,120
Management of Companies and Enterprises · Sector 350 $76,260
Manufacturing · Sector 280 $60,500
Administrative and Support and Waste Management and Remediation Services · Sector 280 $46,740
Transportation and Warehousing · Sector 190 $50,120
Educational Services · Sector 100 $52,600
Other Building Equipment Contractors · National industry 80 $46,520

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
Other Services (except Public Administration) · Sector 14.74× 13,520
Retail Trade · Sector 3.73× 12,050
Wholesale Trade · Sector 2.66× 3,330
Plumbing, Heating, and Air-Conditioning Contractors · National industry 1.56× 410
Real Estate and Rental and Leasing · Sector 0.73× 360
Management of Companies and Enterprises · Sector 0.6× 350
Construction · Sector 0.52× 880
Administrative and Support and Waste Management and Remediation Services · Sector 0.15× 280

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Home Appliance Repairers sits at the 26th percentile of AI task-overlap and the 33rd 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 Home Appliance Repairers Cleaners of Vehicles and Equipment Helpers--Installation, Maintenance, and Repair Workers Outdoor Power Equipment and Other Small Engine Mechanics Maintenance and Repair Workers, General Electric Motor, Power Tool, and Related Repairers Industrial Machinery Mechanics Heating, Air Conditioning, and Refrigeration Mechanics and Installers Electrical and Electronics Installers and Repairers, Transportation Equipment Control and Valve Installers and Repairers, Except Mechanical Door 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 Home Appliance Repairers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Home Appliance Repairers show 26th-percentile AI task overlap — and about 3,100 annual U.S. openings

  • Home Appliance Repairers rank in the 26th 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 3,100 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 (+2.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $49,410, across about 31,940 U.S. workers.BLS OEWS (May 2024)
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Home Appliance Repairers show 26th-percentile AI task overlap — and about 3,100 annual U.S. openings

• Home Appliance Repairers rank in the 26th 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 3,100 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 (+2.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $49,410, across about 31,940 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Home Appliance Repairers". https://singulariki.com/roles/role-49-9031-00
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. "Home Appliance Repairers." 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-49-9031-00

APA

Singulariki. (2026). Home Appliance Repairers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9031-00

BibTeX
@misc{singulariki-role-49-9031-00,
  title  = {Home Appliance Repairers},
  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-49-9031-00}
}

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

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