Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Postsecondary CTE Teachers:

47.0%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient postsecondary career and technical education teaching is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For postsecondary CTE teachers, all eight sources had data, giving us high confidence. AI exposure was split: Will Robots Take My Job saw strong human value, while Microsoft and OpenAI Signals rated exposure higher. Demand and economic signals both landed at medium, and that consistent middle ground across all three dimensions leaves this role "Somewhat Resilient."

AI Resilience Report forCareer/Technical Education Teachers, Postsecondary

$63,820 median salary8,000 annual openingsSOC Code: 25-1194.00

Career/Technical Education Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Career and Technical Education teachers at the postsecondary level earn the "Somewhat Resilient" label because their job is a real mix of tasks, some of which AI is already changing and some of which AI simply cannot touch. The paperwork and prep side of the job (like building course materials, scheduling lab space, and generating lesson plans) is already being automated or sped up significantly by AI tools, which means those workflows are genuinely shifting.

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This role is somewhat resilient

Career and Technical Education teachers at the postsecondary level earn the "Somewhat Resilient" label because their job is a real mix of tasks, some of which AI is already changing and some of which AI simply cannot touch. The paperwork and prep side of the job (like building course materials, scheduling lab space, and generating lesson plans) is already being automated or sped up significantly by AI tools, which means those workflows are genuinely shifting.

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Analysis of Current AI Resilience

Postsecondary CTE Teachers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Postsecondary CTE Teachers jobs?

Right now, AI in postsecondary CTE looks a lot more like a helpful sidekick than a robot replacement. In a July 2026 ACTE congressional briefing, panelists explained that while jobs typically requiring a four-year degree show the highest levels of AI exposure, many hands-on CTE fields haven't seen the same level of disruption yet, and one panelist joked that "you can't entirely AI your way through electrical work on a house… yet." Where AI is showing up, it's mostly on the paperwork and prep side of the job — the tasks with the highest automation scores. ACTE's Michael Connet told Education Week [1] that one CTE director used an AI scheduler to sort lab space and bus routes for sending schools, cutting work that "would have taken hours, days, maybe even weeks" down to minutes, while culinary instructors snap photos of a fridge to generate nutrition-friendly recipes and HVAC teachers demo predictive-analytics tools with students.

A Chronicle of Higher Education report on a 94,000-person Cal State survey [2] found that more than half of faculty said they use AI to develop course materials — mirroring the "develop teaching aids" task rated 62% automatable. Supervising lab work, maintaining tools, and monitoring safety (all under 10% automation) remain firmly human, because they require judgment, physical presence, and hands-on mentoring that current AI simply can't provide.

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AI Adoption

How fast is AI adoption growing for Postsecondary CTE Teachers?

Adoption is moving fast on the administrative side and slower in the shop or kitchen. Community colleges are actively investing: Community College Daily reports [3] that Sinclair Community College launched a three-year, $5 million "AI Excellence Institute" to integrate AI into pedagogy and workforce partnerships, and AACC is running national webinars on AI skilling for two-year colleges. BCG's 2026 higher-ed analysis [4] argues that institutions can adopt AI across five domains including student success and administrative optimization, and leaders who embrace it early stand to strengthen financially and increase operational resilience — a big draw for tight community-college budgets.

But social and ethical concerns are slowing things down. The Chronicle's Cal State survey [2] found 82% of students, 78% of faculty, and 74% of staff worried about AI's impact on job security, and seven in ten faculty want formal AI training before diving in. Student trust is shaky too: a Digital Education Council 2026 survey [5] found 56% of students worry about fairness when AI evaluates their work.

The takeaway for young people: the most human parts of a CTE teacher's job — coaching you through your first weld, spotting an unsafe move at the lathe, mentoring you through a real project — are exactly what AI is worst at. ACTE's advice is encouraging — build durable human skills like critical thinking, communication, ethics, and adaptability alongside AI mastery, and you'll be in demand for a long time.

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Will AI replace Postsecondary CTE Teachers?

Will AI replace Postsecondary CTE Teachers?

Not entirely. We think AI will take over some tasks, but not the whole job.

Our 47.0% AI Resilience Score reflects that reality. CTE teachers at the postsecondary level are already seeing AI handle the administrative grind: scheduling lab space, generating lesson materials, and building out course resources. More than half of faculty in a large Cal State survey now use AI to develop course content [2], and some programs are using it to cut scheduling work that once took days down to minutes [1]. That shift is real and it is accelerating.

But the core of this job is stubbornly human. Supervising live lab work, spotting an unsafe move at a lathe, coaching a student through their first weld, mentoring someone through a real project: these require physical presence, judgment, and trust that AI simply cannot replicate right now. Those tasks score very low on automation risk, and they are also the parts students and employers value most.

The economic picture is mixed but not alarming. Community colleges are investing heavily in AI integration rather than replacement [3], and institutions that adopt AI thoughtfully are expected to grow stronger financially [4]. The teachers who will thrive are the ones who let AI handle the paperwork and keep their energy focused on the hands-on human work only they can do.

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Latest AI news for Postsecondary CTE Teachers

These articles highlight the transformative role of AI in Career and Technical Education (CTE), emphasizing the need for postsecondary educators to adapt. UC Irvine's course on AI in higher education equips instructors with essential skills, while discussions from Kentucky's CTE Advisory Committee reveal strategies for integrating AI into curricula. Additionally, innovations such as AI-generated workplace simulations can enhance student learning and apprenticeship matching, providing real-world experience. Embracing these developments will foster AI resilience in your teaching career, ensuring you remain relevant and effective in a rapidly evolving educational landscape.

More Career Info

Career: Career/Technical Education Teachers, Postsecondary

They teach students practical skills for specific jobs, like welding or cooking, to help them succeed in their chosen careers.

Employment & Wage Data

Median Wage

$63,820

Jobs (2025)

123,100

Growth (2025-35)

-0.3%

Annual Openings

8,000

Education

Bachelor's degree

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

93% ResilienceCore Task

Acquire, maintain, and repair laboratory equipment and tools.

2

92% ResilienceCore Task

Supervise and monitor students' use of tools and equipment.

3

90% ResilienceCore Task

Supervise independent or group projects, field placements, laboratory work, or other training.

4

85% ResilienceCore Task

Serve on faculty and school committees concerned with budgeting, curriculum revision, and course and diploma requirements.

5

82% ResilienceCore Task

Conduct on-the-job training classes or training sessions to teach and demonstrate principles, techniques, procedures, or methods of designated subjects.

6

72% ResilienceCore Task

Present lectures and conduct discussions to increase students' knowledge and competence using visual aids, such as graphs, charts, videotapes, and slides.

7

70% ResilienceCore Task

Arrange for lectures by experts in designated fields.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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