Can AI Replace Medical Equipment Repairers in 2026?

Lower exposure. AI could handle about 38% of today's medical equipment repairers tasks by 2036, and there is a 12% chance the number of jobs falls by a fifth or more. AI both assists and takes over tasks.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

22%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

9% 2030 · 12% 2036

One person could cover, 2036

1.3 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: "Keep records of maintenance, repair, and required updates of equipment".Learn one AI tool well enough to show it in an interview, for: "Research catalogs or repair part lists to locate sources for repair parts, requisitioning parts and recording their receipt".Get visibly better at your human core: "Inspect and test malfunctioning medical or related equipment, following manufacturers' specifications and using test and analysis instruments".Rewrite the top of your CV around judgment, people and decisions, not routine output.

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Based on 19 O*NET tasks for "Medical Equipment Repairers" (SOC 49-9062.00). LLM alone: 15% of tasks; with AI tools: 46%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10