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Home Appliance Repairers

Home Appliance Repairers — AI exposure, safer roles, and a pivot plan.

Also known as: Appliance Advisor · Appliance Adjuster · Appliance Mechanic · Appliance Repairer · Appliance Installer · Appliance Repair Mechanic

AI Task Exposure Score

Low exposure

More exposed than 16% of 968 occupations · Rank #797 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

No strongly automatable task in the current data release.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Record maintenance and repair work performed on appliances.50
  • Bill customers for repair work, and collect payment.48
  • Instruct customers regarding operation and care of appliances, and provide information such as emergency service numbers.48

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

  • Disassemble appliances so that problems can be diagnosed and repairs can be made.21
  • Contact supervisors or offices to receive repair assignments.25
  • Level refrigerators, adjust doors, and connect water lines to water pipes for ice makers and water dispensers, using hand tools.25

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 34 puts Home Appliance Repairers in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 4 augmentable, and 16 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

  • $50,990median wage
  • 32,150employed
  • 3,100annual openings
  • +2.7%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

Personalize my result — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

FAQ — Home Appliance Repairers

What does a score of 34 mean for a Home Appliance Repairers?
It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 34 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?
The most durable responsibilities are: Disassemble appliances so that problems can be diagnosed and repairs can be made; Contact supervisors or offices to receive repair assignments; Level refrigerators, adjust doors, and connect water lines to water pipes for ice makers and water dispensers, using hand tools. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology