28
/100

SOC 53-3011

Ambulance Drivers and Attendants, Except Emergency Medical Technicians

ModerateFrey/Osborne: 25.0%

Risk Score

โš ๏ธ

28/100

Moderate

US Employment

๐Ÿ‘ฅ

12,080

Total workers

Median Wage

๐Ÿ’ฐ

$34K

$25K โ€“ $47K

Projected Growth

๐Ÿ“ˆ

-1.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Ambulance Drivers and Attendants, Except Emergency Medical Technicians face a risk score of 28/100 โ€” 16 points below the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $34K. The 1 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of just 28/100, Ambulance Drivers and Attendants, Except Emergency Medical Technicians is well-positioned against AI automation. Core responsibilities like navigating unpredictable road and weather conditions and emergency situation response and quick decision-making rely heavily on human judgment and interpersonal skills that AI cannot easily replicate. The 12,080 Americans in this role can expect continued demand, though they should still stay informed about AI tools that can enhance their productivity.

Will AI Replace Ambulance Drivers and Attendants, Except Emergency Medical Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Drone delivery displacing last-mile logistics workers

2

AI route optimization reducing dispatcher roles

3

Predictive maintenance reducing manual inspection needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable road and weather conditions

โœ“

Emergency situation response and quick decision-making

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Manual loading of irregular and fragile cargo

โœ“

Navigating complex urban environments with obstacles

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Remove and replace soiled linens or equipment to maintain sanitary conditions.

โ€ข

Drive ambulances or assist ambulance drivers in transporting sick, injured, or convalescent persons.

โ€ข

Report facts concerning accidents or emergencies to hospital personnel or law enforcement officials.

โ€ข

Place patients on stretchers, and load stretchers into ambulances, usually with assistance from other attendants.

โ€ข

Accompany and assist emergency medical technicians on calls.

๐Ÿ’ป Technology Skills

โ€ข

Helpdesk or call center software

โ€ข

Map creation software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

Law and Government

๐Ÿ“Š vs National Average

Median Wage$34K
$-12K

National avg: $46K

Risk Score28/100
-16

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth-1.3%
-5.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K81%