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AI Work Index

Headline risk

36%

High Risk

Career/technical education teachers, middle school

United States AI Work IndexISCO 2511major_group_fallback

United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.

14 current · 13.8 projectedConfidence high

Why This Score

Tasks 97%

Share of job tasks that overlap with current AI capabilities

Wage $64K

Median annual wage

Demand -2%

Projected employment change over 10 years

Preparation Zone 4

Typical preparation needed for this occupation

Occupation profile

Teach occupational, vocational, career, or technical subjects to students at the middle, intermediate, or junior high school level.

Task evidence

97% weighted task match · 20% effective coverage

Scores combine AI task overlap, human advantages, and local demand. How it works

United States Now

Median Wage

USD 63,620

Employment 2024

14.0K

Projected Change (2024–34)

-2.0%

Openings (2024–34)

0.9K

Wage distribution

Bottom 10%: USD 47,09025th pctl: USD 55,920Median: USD 63,62075th pctl: USD 78,270Top 10%: USD 98,430

Demand outlook

Overall employment of career and technical education teachers is projected to grow 1 percent from 2024 to 2034, decline.

Education: Bachelor's degree Experience: Less than 5 years

Role Profile

AdaptabilityWriting and readingInterpersonal

Tasks

  • 1. Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations. AI use: 0%
  • 2. Prepare materials and classrooms for class activities. AI use: 0%
  • 3. Adapt teaching methods and instructional materials to meet students' varying needs and interests. AI use: 82%
  • 4. Establish and enforce rules for behavior and procedures for maintaining order among students. AI use: 0%
  • 5. Establish clear objectives for all lessons, units, and projects, and communicate those objectives to students. AI use: 0%
  • 6. Prepare students for later educational experiences by encouraging them to explore learning opportunities and to persevere with challenging tasks. AI use: 0%

Technologies

Amazon DynamoDBAmazon Elastic Compute Cloud EC2Amazon Web Services AWS CloudFormationAmazon Web Services AWS softwareAnsible softwareApache Cassandra

Requirements

Adaptability: Work schedule variability: 24.7%Adaptability: Work schedule variability: 75.3%Pace: Control of workload: 85.3%Pace: Control of workload: 14.7%

Work context

E-Mail 4.8/5
Contact With Others 4.6/5
Face-to-Face Discussions with Individuals and Within Teams 4.5/5
Frequency of Decision Making 4.5/5
Freedom to Make Decisions 4.4/5
Indoors, Environmentally Controlled 4.3/5

Worker profile

Median age 43.4 · 3.5M employed

Under 25: 6% · 25–54: 74% · 55+: 20%

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