Can AI Replace Electric Motor, Power Tool, and Related Repairers in 2026?

Lower exposure. AI could handle about 10% of today's electric motor, power tool, and related repairers tasks by 2036, and there is a 6% chance the number of jobs falls by a fifth or more. AI mostly assists people in this role.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

Headcount (2025 = 100)

101

Chance of 20%+ fewer jobs

7% 2030 · 6% 2036

One person could cover, 2036

~1 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Your plan

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Try an AI tool on one task you'd normally do by hand: "Record repairs required, parts used, and labor time".Learn one AI tool well enough to show it in an interview, for: "Inspect batteries for structural defects such as dented cans, damaged carbon rods and terminals, and defective seals".Get visibly better at your human core: "Inspect and test equipment to locate damage or worn parts and diagnose malfunctions, or read work orders or schematic drawings to determine required repairs".Rewrite the top of your CV around judgment, people and decisions, not routine output.

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Coil Winders, Tapers, and Finishers · Electrical and Electronics Installers and Repairers, Transportation Equipment · Maintenance Workers, Machinery · Mobile Heavy Equipment Mechanics, Except Engines

Based on 39 O*NET tasks for "Electric Motor, Power Tool, and Related Repairers" (SOC 49-2092.00). LLM alone: 10% of tasks; with AI tools: 12%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10