Will AI replace Ambulance Drivers and Attendants, Except Emergency Medical Technicians?
AI reaches little of this job’s work.
5/100
Low exposure
More exposed to AI than 10% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 9% of the work
What the job involves
Drive ambulance or assist ambulance driver in transporting sick, injured, or convalescent persons. Assist in lifting patients.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Report facts concerning accidents or emergencies to hospital personnel or law enforcement officials.
Out of reach(10)
- Place patients on stretchers, and load stretchers into ambulances, usually with assistance from other attendants.
- Earn and maintain appropriate certifications.
- Drive ambulances or assist ambulance drivers in transporting sick, injured, or convalescent persons.
- Remove and replace soiled linens or equipment to maintain sanitary conditions.
- Replace supplies and disposable items on ambulances.
and 5 more
Also called
Ambulance Attendant · Ambulance Driver · Emergency Vehicle Operator · EMS Driver (Emergency Medical Services Driver) · EMS Driver · Patient Carrier · Chair Car Driver · CPR Ambulance Driver (Cardio Pulmonary Resuscitation Ambulance Driver)
Related jobs
- Paramedics19/100
- Home Health Aides4/100
- Nursing Assistants13/100
- Orderlies3/100
- Emergency Medical Technicians21/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics