Medium AI Risk Average

Home appliance repairers

SOC Code: 49-9031

Home appliance repairers carries a 23% AI exposure score (Medium automation risk), with a median annual wage of $49,410 and +2.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 37,300 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
23% Medium
Low exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+2.6%
Typical growth
2024–2034 (BLS)
+1,000 jobs
Median Annual Wage
$49,410
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 23% AI exposure, Home appliance repairers sits 14 points below the 37.2% average across 832 U.S. occupations - more exposed than 9% of them. It ranks among the more AI-resilient roles in the dataset.

23%
AI exposure
9th
percentile
+2.6%
Job growth 2024–34
$49,410
Median wage
C

Career outlook score

58/100

Home appliance repairers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $49,410

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth C- +2.6%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) A+ 23% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Home appliance repairers in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

Home appliance repairers keeps an HS / some college bar (333 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where Home appliance repairers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Home appliance repairers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

23% Among the lowest lower than 91% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Home appliance repairers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Home appliance repairers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk11.4%20.2%29%37.8%46.6%-5.2%0.4%6.0%11.5%17.1%AI exposure (%) →Projected growth (%) →Home appliance repai, AI exposure (%) →: 23% · Projected growth (%) →: 2.6%Home appliance repaiMaintenance, AI exposure (%) →: 20% · Projected growth (%) →: 3.8%MaintenanceAutomotive service t, AI exposure (%) →: 23% · Projected growth (%) →: 4.2%Automotive service tFirst-line superviso, AI exposure (%) →: 45% · Projected growth (%) →: 3.1%First-line supervisoIndustrial machinery, AI exposure (%) →: 33% · Projected growth (%) →: 16.1%Industrial machineryHeating, AI exposure (%) →: 26% · Projected growth (%) →: 8.1%HeatingBus, AI exposure (%) →: 23% · Projected growth (%) →: 2.4%BusInstallation, AI exposure (%) →: 33% · Projected growth (%) →: 2.4%InstallationMobile heavy equipme, AI exposure (%) →: 29% · Projected growth (%) →: 5.8%Mobile heavy equipmeAutomotive body, AI exposure (%) →: 21% · Projected growth (%) →: 1.6%Automotive bodyTelecommunications e, AI exposure (%) →: 16% · Projected growth (%) →: -4.2%Telecommunications eAircraft mechanics, AI exposure (%) →: 13% · Projected growth (%) →: 4%Aircraft mechanics

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

37,300
Employment 2024
38,300
Projected 2034
+2.6%
Change (%)
+1,000
Change (jobs)

Where This Score Comes From

Home appliance repairers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 49-9031) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Home appliance repairers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Home appliance repairers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Bill customers for repair work, and collect payment.
  2. 2. Observe and examine appliances during operation to detect specific malfunctions such as loose parts or leaking fluid.
  3. 3. Talk to customers or refer to work orders to establish the nature of appliance malfunctions.
  4. 4. Refer to schematic drawings, product manuals, and troubleshooting guides to diagnose and repair problems.
  5. 5. Trace electrical circuits, following diagrams, and conduct tests with circuit testers and other equipment to locate shorts and grounds.
  6. 6. Replace worn and defective parts such as switches, bearings, transmissions, belts, gears, circuit boards, or defective wiring.
  7. 7. Conserve, recover, and recycle refrigerants used in cooling systems.
  8. 8. Provide repair cost estimates, and recommend whether appliance repair or replacement is a better choice.
  9. 9. Disassemble appliances so that problems can be diagnosed and repairs can be made.
  10. 10. Respond to emergency calls for problems such as gas leaks.

Key Skills Required

  • Repairing
  • Critical Thinking
  • Equipment Maintenance
  • Troubleshooting
  • Speaking
  • Operations Monitoring
  • Quality Control Analysis
  • Active Listening
  • Reading Comprehension
  • Complex Problem Solving

Knowledge Areas

  • Customer and Personal Service
  • Mechanical
  • English Language
  • Administration and Management
  • Administrative
  • Computers and Electronics
  • Sales and Marketing
  • Engineering and Technology
  • Mathematics
  • Education and Training

Frequently Asked Questions

Will AI replace Home appliance repairers?

Home appliance repairers has an AI exposure score of 23%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Home appliance repairers?

According to BLS Employment Projections 2024-2034, Home appliance repairers is projected to grow by 2.6% over the decade. Current employment stands at approximately 37,300 workers.

What skills are needed for Home appliance repairers?

Key skills for Home appliance repairers include Repairing, Critical Thinking, Equipment Maintenance, and others. Typical entry-level education is High school diploma or equivalent.

How much do Home appliance repairers earn?

The median annual wage for Home appliance repairers is $49,410, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Home appliance repairers?

The typical entry-level education for Home appliance repairers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Home appliance repairers?

Home appliance repairers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.1
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Home appliance repairers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (23% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+2.6% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Home appliance repairers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.