Medium AI Risk Average

Emergency medical technicians

SOC Code: 29-2042

Emergency medical technicians carries a 28% AI exposure score (Medium automation risk), with a median annual wage of $41,340 and +5.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 181,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
28% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+5.1%
2024–2034 (BLS)
+9,200 jobs
Median Annual Wage
$41,340
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

181,000
Employment 2024
190,200
Projected 2034
+5.1%
Change (%)
+9,200
Change (jobs)

Occupation Insight

Emergency medical technicians (SOC 29-2042) carries an AI exposure score of 28%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 181,000 workers in this occupation in 2024, and projects a +5.1% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $41,340, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Postsecondary nondegree award, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Emergency medical technicians. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Postsecondary nondegree award
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Administer first aid treatment or life support care to sick or injured persons in prehospital settings.
  2. 2. Assess nature and extent of illness or injury to establish and prioritize medical procedures.
  3. 3. Attend training classes to maintain certification licensure, keep abreast of new developments in the field, or maintain existing knowledge.
  4. 4. Comfort and reassure patients.
  5. 5. Communicate with dispatchers or treatment center personnel to provide information about situation, to arrange reception of survivors, or to receive instructions for further treatment.
  6. 6. Coordinate work with other emergency medical team members or police or fire department personnel.
  7. 7. Decontaminate ambulance interior following treatment of patient with infectious disease, and report case to proper authorities.
  8. 8. Drive mobile intensive care unit to specified location, following instructions from emergency medical dispatcher.
  9. 9. Immobilize patient for placement on stretcher and ambulance transport, using backboard or other spinal immobilization device.
  10. 10. Maintain vehicles and medical and communication equipment, and replenish first aid equipment and supplies.

Frequently Asked Questions

Will AI replace Emergency medical technicians?

Emergency medical technicians has an AI exposure score of 28%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Emergency medical technicians?

According to BLS Employment Projections 2024-2034, Emergency medical technicians is projected to grow by 5.1% over the decade. Current employment stands at approximately 181,000 workers.

What skills are needed for Emergency medical technicians?

Emergency medical technicians requires a combination of technical knowledge and interpersonal skills. Typical education requirement: Postsecondary nondegree award.

How much do Emergency medical technicians earn?

The median annual wage for Emergency medical technicians is $41,340, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Emergency medical technicians?

The typical entry-level education for Emergency medical technicians is Postsecondary nondegree award. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Emergency medical technicians?

Emergency medical technicians roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.4
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial