Will AI replace emergency medical technicians?
Unlikely. Most of the work is hard for today's AI to speed up. Emergency Medical Technicians score 21 out of 100 (moderate exposure), #630 of 923 US jobs. AI could speed up 3 of the job's 12 tasks, 2 of them on its own, while 9 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which emergency medical technicians tasks can AI do?
The most exposed tasks include "Attend training classes to maintain certification licensure, keep abreast of new developments in the field, or maintain existing knowledge"; "Observe, record, and report to physician the patient's condition or injury, the treatment provided, and reactions to drugs or treatment".
Which emergency medical technicians tasks are hardest for AI?
Tasks with little or no AI speed-up include "Administer first aid treatment or life support care to sick or injured persons in prehospital settings"; "Assess nature and extent of illness or injury to establish and prioritize medical procedures"; "Comfort and reassure patients".
Are people already using AI for this work?
Yes. In April–May 2026, 2 of the 12 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as emergency medical technicians, and what do they earn?
About 180,510 people in the US, with median pay of $44,470 a year (BLS, May 2025).