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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Ambulance Drivers and Attendants, Except Emergency Medical Technicians are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is "Somewhat Resilient" because while AI isn't replacing ambulance drivers and attendants anytime soon, it *is* starting to meaningfully change how the job works — and that shift will only grow over time. The physical, hands-on parts of the job, like safely loading patients, providing comfort during transport, and assisting EMTs, are still very much human work that machines can't replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
This career is "Somewhat Resilient" because while AI isn't replacing ambulance drivers and attendants anytime soon, it *is* starting to meaningfully change how the job works — and that shift will only grow over time. The physical, hands-on parts of the job, like safely loading patients, providing comfort during transport, and assisting EMTs, are still very much human work that machines can't replicate.
Read full analysisAnalysis of Current AI Resilience
Ambulance Driver/Attendant
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting the people who drive and staff ambulances rather than replacing them. A JEMS article describes how self-driving ambulances equipped with advanced navigation systems, sensors, and AI could optimize route selection, reduce human error, and let EMS personnel focus more on patient care during transport, with some conceptual models envisioning fully autonomous ambulances that transport stabilized patients without onboard medical staff. But these are still concepts — not in everyday use.
A leadership analysis on EMS1 lays out five stages of AI maturity in EMS [1], explaining that most agencies are still using simple rule-based tools like CAD triage scripts and protocol checklists, while progressive systems are moving into predictive analytics for staffing and unit placement. Hands-on tasks unique to your job — loading stretchers, applying bandages, restocking supplies, and assisting EMTs — still require human muscle, judgment, and compassion. AI is also showing up in wearable devices that give responders hands-free video links to remote physicians and real-time language translation [2], helping crews communicate and document calls faster.

Adoption is likely to be gradual. On the "push" side, the American Ambulance Association's 2026 EMSNext Workforce Report [3] surveyed 1,826 EMS professionals and documented serious recruitment, retention, and burnout challenges — giving agencies a strong reason to try AI tools that lighten the load. On the "slow it down" side, public trust took a hit after a Waymo self-driving car blocked an ambulance responding to a March 2026 Austin shooting [4], feeding worries about machines in life-or-death situations.
An AMA Journal of Ethics review [5] similarly stresses that prehospital AI must clear high safety and ethical bars before broad rollout. The hopeful takeaway: skills like calm driving in chaos, lifting and comforting patients, and clear human communication remain genuinely hard to automate — they're exactly where you add irreplaceable value.

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They drive ambulances to transport sick or injured people to hospitals and help keep them comfortable during the ride.
Median Wage
$34,330
Jobs (2024)
12,300
Growth (2024-34)
-1.3%
Annual Openings
1,400
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Accompany and assist emergency medical technicians on calls.
Place patients on stretchers and load stretchers into ambulances, usually with assistance from other attendants.
Restrain or shackle violent patients.
Drive ambulances or assist ambulance drivers in transporting sick, injured, or convalescent persons.
Remove and replace soiled linens or equipment to maintain sanitary conditions.
Earn and maintain appropriate certifications.
Replace supplies and disposable items on ambulances.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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