Will AI replace medical equipment repairers?
Unlikely. Most of the work is hard for today's AI to speed up. Medical Equipment Repairers score 30 out of 100 (moderate exposure), #521 of 923 US jobs. AI could speed up 8 of the job's 19 tasks, 3 of them on its own, while 11 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which medical equipment repairers tasks can AI do?
The most exposed tasks include "Keep records of maintenance, repair, and required updates of equipment"; "Study technical manuals or attend training sessions provided by equipment manufacturers to maintain current knowledge"; "Make computations relating to load requirements of wiring or equipment, using algebraic expressions and standard formulas".
Which medical equipment repairers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Inspect and test malfunctioning medical or related equipment, following manufacturers' specifications and using test and analysis instruments"; "Test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques, using hand tools, power tools, or measuring devices"; "Perform preventive maintenance or service, such as cleaning, lubricating, or adjusting equipment".
Are people already using AI for this work?
Yes. In April–May 2026, 2 of the 19 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as medical equipment repairers, and what do they earn?
About 65,990 people in the US, with median pay of $61,660 a year (BLS, May 2025).