Will AI replace Home Appliance Repairers?
Most of the work in Home Appliance Repairers still leans on things AI struggles with — research rates its theoretical AI reach at only ~15%, and real-world use lower still.
O*NET-SOC 49-9031
How your 24 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~15%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~15%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 24 tasks, ratedBased on real task-level AI scores — click to collapse
- Record maintenance and repair work performed on appliances.
- Instruct customers regarding operation and care of appliances, and provide information such as emergency service numbers.
- Bill customers for repair work, and collect payment.
- Talk to customers or refer to work orders to establish the nature of appliance malfunctions.
- Refer to schematic drawings, product manuals, and troubleshooting guides to diagnose and repair problems.
- Provide repair cost estimates, and recommend whether appliance repair or replacement is a better choice.
- Observe and examine appliances during operation to detect specific malfunctions such as loose parts or leaking fluid.
- Trace electrical circuits, following diagrams, and conduct tests with circuit testers and other equipment to locate shorts and grounds.
- Replace worn and defective parts such as switches, bearings, transmissions, belts, gears, circuit boards, or defective wiring.
- Disassemble appliances so that problems can be diagnosed and repairs can be made.
- Respond to emergency calls for problems such as gas leaks.
- Service and repair domestic electrical or gas appliances, such as clothes washers, refrigerators, stoves, and dryers.
- Reassemble units after repairs are made, making adjustments and cleaning and lubricating parts as needed.
- Test and examine gas pipelines and equipment to locate leaks and faulty connections, and to determine the pressure and flow of gas.
- Light and adjust pilot lights on gas stoves, and examine valves and burners for gas leakage and specified flame.
- Contact supervisors or offices to receive repair assignments.
- Maintain stocks of parts used in on-site installation, maintenance, and repair of appliances.
- Level refrigerators, adjust doors, and connect water lines to water pipes for ice makers and water dispensers, using hand tools.
- Observe and test operation of appliances following installation, and make any initial installation adjustments that are necessary.
- Set appliance thermostats, and check to ensure that they are functioning properly.
- Install appliances such as refrigerators, washing machines, and stoves.
- Level washing machines and connect hoses to water pipes, using hand tools.
- Clean and reinstall parts.
- Clean, lubricate, and touch up minor defects on newly installed or repaired appliances.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.