Will AI replace Ambulance Drivers and Attendants, Except Emergency Medical Technicians?
Estimated risk score: 15 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 34).
Low confidence: only 11 of its tasks are rated.
For the occupation as a whole, from ratings of its 11 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 53-3011.00 · Transportation and Material Moving
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 11 rated tasks. In O*NET’s words.
- Report facts concerning accidents or emergencies to hospital personnel or law enforcement officials.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 10 of its 11 rated tasks; the first 6 are shown. In O*NET’s words.
- Accompany and assist emergency medical technicians on calls.
- Administer first aid, such as bandaging, splinting, or administering oxygen.
- Clean and wash rigs, ambulances, or equipment.
- Drive ambulances or assist ambulance drivers in transporting sick, injured, or convalescent persons.
- Perform minor maintenance on emergency medical services vehicles, such as ambulances.
- Place patients on stretchers, and load stretchers into ambulances, usually with assistance from other attendants.
What the job is
Drive ambulance or assist ambulance driver in transporting sick, injured, or convalescent persons. Assist in lifting patients.
Also called: EMS Driver (Emergency Medical Services Driver), ECA, EMS Medic, EMS Driver, Driver Medic, CEV Technician, Medi-Van Driver, Patient Carrier.
Closest jobs we score by hand
In the same field (Transportation and Material Moving). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate