Can AI Replace Emergency Medical Technicians in 2026?

Lower exposure. AI could handle about 22% of today's emergency medical technicians tasks by 2036, and there is a 4% 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

14%

Headcount (2025 = 100)

103

Chance of 20%+ fewer jobs

5% 2030 · 4% 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: "Attend training classes to maintain certification licensure, keep abreast of new developments in the field, or maintain existing knowledge".Learn one AI tool well enough to show it in an interview, for: "Communicate with dispatchers or treatment center personnel to provide information about situation, to arrange reception of victims, or to receive instructions for…".Get visibly better at your human core: "Administer first aid treatment or life support care to sick or injured persons in prehospital settings".Rewrite the top of your CV around judgment, people and decisions, not routine output.

Similar occupations

Paramedics · Anesthesiologists · Ambulance Drivers and Attendants, Except Emergency Medical Technicians · Registered Nurses

Based on 12 O*NET tasks for "Emergency Medical Technicians" (SOC 29-2042.00). LLM alone: 17% of tasks; with AI tools: 25%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10