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Emergency Medical Technicians

Healthcarelowaugment
BLS 2024-34: +5%
Median Wage: $40,080
Employment: 267K

Overall Exposure

17

2025 vs 2023

Theoretical Exposure

30

What AI could do

Observed Exposure

10

What AI actually does

Automation Risk Score

12

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

17โ†’30
+13

2025 โ†’ 2028 (estimated)

Theoretical Exposure

30โ†’44
+14

2025 โ†’ 2028 (estimated)

Observed Exposure

10โ†’22
+12

2025 โ†’ 2028 (estimated)

Automation Risk

12โ†’24
+12

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
2024122568actual
202517301012estimated
202622351416estimated
202726401820estimated
202830442224estimated

Task Breakdown

Provide emergency medical treatment at scene
5%ฮฒ 0
Document patient information and care reports
48%ฮฒ 0.5
Operate ambulance and emergency equipment
15%ฮฒ 0

About This Occupation

If you work as a Emergency Medical Technicians, AI is augmenting your role. Automation risk 12/100, exposure 17%. This is classified as augment.

Frequently Asked Questions

With an automation risk score of 12%, Emergency Medical Technicians has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Emergency Medical Technicians is 12% (2025 data). Overall AI exposure is 17%, with 30% theoretical exposure and 10% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Emergency Medical Technicians are: Document patient information and care reports (48%), Operate ambulance and emergency equipment (15%), Provide emergency medical treatment at scene (5%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +5% employment change for Emergency Medical Technicians from 2024 to 2034. Combined with an overall AI exposure of 17%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Emergency Medical Technicians should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.