Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Postsecondary CTE Teachers:

48.1%

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 four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. 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 seven sources had data and agreed closely: AI exposure rated medium across AI Resilience Model, Anthropic, and Microsoft, with Will Robots Take My Job rating it even lower. Demand and economic signals both landed medium. That steady agreement supports high confidence, and the strong human element of hands-on skill instruction keeps this role "Somewhat Resilient."

AI Resilience Report forCareer/Technical Education Teachers, Postsecondary

$61,490 median salary8,800 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 7 sources.

Career and Technical Education teachers at the postsecondary level land in the "Somewhat Resilient" category because their work splits into two very different zones when it comes to AI. The hands-on, in-person parts of the job, like supervising welding labs, mentoring students through real workplace skills, and making split-second safety calls, are extremely hard for AI to touch, scoring only 8 to 12 percent automation risk.

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This role is somewhat resilient

Career and Technical Education teachers at the postsecondary level land in the "Somewhat Resilient" category because their work splits into two very different zones when it comes to AI. The hands-on, in-person parts of the job, like supervising welding labs, mentoring students through real workplace skills, and making split-second safety calls, are extremely hard for AI to touch, scoring only 8 to 12 percent automation risk.

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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?

Good news first: in postsecondary career and technical education (CTE), AI is mostly being used to help teachers — not replace them. The tasks getting automated are the paperwork-heavy ones, like keeping records, prepping lesson materials, and integrating curriculum. A nationally representative survey found that six in 10 teachers reported using an AI tool for their work, and teachers who use AI at least weekly estimate they save 5.9 hours per week — about six weeks per school year.

Majorities of teachers who use AI for various tasks say it improves the quality of their everyday work, ranging from 57% for grading and feedback to 74% for administrative work.

The hands-on parts of CTE — supervising welding labs, watching students cook, running on-the-job training — are much harder to automate, which is why those tasks score only 8–12% automation risk. The Association for Career and Technical Education is actively training instructors to use AI for tasks like Program of Study review, intelligent scheduling, performance evaluations, predictive budgeting, and streamlining reporting workflows [1]. In classrooms, AI is showing up as a curricular tool: culinary instructors using AI to design recipes from photos of fridge contents, and HVAC programs training students on AI-powered predictive-maintenance tools used in industry [2].

ACTE's outreach lead estimates about half of CTE programs now have some AI use, though much of it is still basic "Googlification" [2] — meaning teachers are augmented, not replaced.

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AI Adoption

How fast is AI adoption growing for Postsecondary CTE Teachers?

Adoption is moving fast on the administrative side but slower in the workshop. On the speed-it-up side, commercial tools are cheap and widely available — Canvas integrated native OpenAI tools and agents in August 2025, and the California State University system partnered with Microsoft, OpenAI, and Google to build AI-ready workforces [3]. At FETC 2026, K–12 and postsecondary leaders highlighted how AI and emerging technologies are reshaping career pathways and helping students get hands-on with professional-grade software [4].

What slows adoption: CTE is inherently hands-on, so safety, supervision, and ethics matter a lot. Higher-ed leaders say the pace of change is the biggest challenge, along with cost, security, privacy, and environmental concerns [3]. Some experts also warn that if the AI bubble pops or public attitudes sour, academic appetite for AI could shrink [3].

The bottom line for you: CTE instructors who learn to use AI for the boring admin stuff will likely have more time for what humans do best — mentoring, demonstrating skills, and keeping a student's fingers safe near a saw. Those uniquely human, hands-on judgment skills are exactly what employers (and AI models) cannot replicate, which makes this career resilient and worth pursuing.

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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 48.1% AI Resilience Score reflects that reality. CTE teachers at the postsecondary level are already seeing AI handle the tedious stuff: lesson prep, record-keeping, scheduling, and reporting workflows [1]. Teachers who use AI weekly estimate saving nearly six hours per week, and most say it improves the quality of their everyday work [2]. That is genuinely good news. It means more time for the parts of the job that actually matter.

And those parts are hard to automate. Watching a student run a welding bead, correcting a knife grip in a culinary lab, or knowing when someone is about to make a dangerous mistake near heavy equipment: those moments require a human in the room. About half of CTE programs now have some AI use, but most of it is still basic administrative support, not instruction [2]. Platforms like Canvas are integrating AI tools quickly [3], but the hands-on supervision and mentorship at the core of CTE cannot be replicated by software.

The honest picture: this role is changing, and instructors who learn to use AI for the boring work will be better positioned. But the job itself is not going away.

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Latest AI news for Postsecondary CTE Teachers

These articles highlight how AI is reshaping the role of postsecondary Career/Technical Education (CTE) teachers. For instance, the potential for AI to create workplace simulations could enhance hands-on learning experiences, while tools like AI career coaches can guide students in exploring career paths. As AI continues to evolve, CTE teachers must adapt to integrate these technologies into their curricula, ensuring they remain relevant and effective in preparing students for future job markets. Embracing AI can lead to a resilient and innovative teaching approach in CTE.

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

$61,490

Jobs (2024)

122,200

Growth (2024-34)

+0.7%

Annual Openings

8,800

Education

Bachelor's degree

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

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

1

93% ResilienceSupplemental

Review enrollment applications and correspond with applicants to obtain additional information.

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

88% ResilienceCore Task

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

5

85% ResilienceSupplemental

Acquire, maintain, and repair laboratory equipment and tools.

6

82% ResilienceCore Task

Observe and evaluate students' work to determine progress, provide feedback, and make suggestions for improvement.

7

78% ResilienceCore Task

Determine training needs of students or workers.

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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The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.