Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for CTE Teachers, Middle School:
43.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forCareer/Technical Education Teachers, Middle School
$63,620 median salary•900 annual openings•SOC Code: 25-2023.00
Career/Technical Education Teachers, Middle School are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Career/Technical Education teachers at the middle school level are labeled "Somewhat Resilient" because AI is genuinely changing a meaningful chunk of the job, even though it is not replacing teachers altogether. The prep and planning side of teaching, like building lesson materials, making worksheets, and adjusting content for different learners, is already being handled faster with AI tools, which frees up time but also means those tasks require less purely human effort than before.
Learn more about how you can thrive in this position
This role is somewhat resilient
Career/Technical Education teachers at the middle school level are labeled "Somewhat Resilient" because AI is genuinely changing a meaningful chunk of the job, even though it is not replacing teachers altogether. The prep and planning side of teaching, like building lesson materials, making worksheets, and adjusting content for different learners, is already being handled faster with AI tools, which frees up time but also means those tasks require less purely human effort than before.
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Analysis of Current AI Resilience
CTE Teachers, Middle School
Updated Quarterly

How is AI changing CTE Teachers, Middle School jobs?
Right now, AI is mostly augmenting middle school Career/Technical Education (CTE) teachers rather than replacing them. Teachers are using AI as a behind-the-scenes helper for time-consuming paperwork like lesson outlines, worksheets, and modifying materials for different learners. A Gallup–Walton Family Foundation survey [1] found that in the 2024-25 school year, six in 10 teachers reported using an AI tool for their work, most often for preparing to teach, making worksheets, or modifying materials to meet student needs [1], and teachers who use AI tools at least weekly estimate they save 5.9 hours per week — the equivalent of six weeks per school year [1].
Inside the CTE world specifically, AI is starting to show up in the hands-on parts of class too. According to a 2025 Q&A with the Association for Career and Technical Education [2], about half of CTE programs have some use of AI, and one director used an AI tool to build complex transportation schedules in minutes instead of days [2]. The same conversation describes culinary instructors using AI to analyze fridge contents for healthy recipes and HVAC programs training students on predictive energy-efficiency tools [2].
A new joint ACTE/Advance CTE webinar in February 2026 introduced an "Applied Co-Intelligence Model" [3] — a framework where teachers and students work alongside AI rather than being replaced by it.
The most human parts of the job — supervising field trips, evaluating behavior and physical safety in shop or lab spaces, meeting with counselors about students, and sponsoring clubs — are barely touched by AI, which matches the very low automation scores (3%) for those tasks.
Sources

How fast is AI adoption growing for CTE Teachers, Middle School?
A few forces are pushing adoption faster. The tools are cheap, easy to find, and clearly save time. A massive new investment shows how serious this is: the National Academy for AI Instruction is a five-year, $23 million partnership between the American Federation of Teachers and Anthropic, Microsoft, and OpenAI to train 400,000 teachers [4].
Plus, CTE is about preparing students for real jobs — and since AI is now everywhere in fields like agriculture, culinary, and skilled trades, teachers basically have to teach with it to stay current.
But several things are slowing adoption down. CTE has historically been very hands-on, and as the ACTE noted [2], there hasn't historically been a major role for educational technology in CTE classrooms because of the experiential nature of instruction [2]. There are also fairness concerns: new research from NC State found that teachers using AI-powered tutoring tools tended to help the same students repeatedly, sometimes overlooking others who needed help [5].
Safety supervision, mentoring, and clubs all require trust, judgment, and physical presence that schools and parents aren't ready to hand over to software.
The honest takeaway: AI will keep changing how CTE teachers prep and teach, but the heart of the job — coaching real kids through real projects — still depends on you-the-human. If you're curious about this career, learning to use AI as a teaching partner is probably the smartest move you can make.
Sources

Will AI replace CTE Teachers, Middle School?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 43.2% AI Resilience Score reflects that reality. Middle school CTE teachers are already feeling AI's presence, but mostly as a helper. Six in ten teachers used an AI tool during the 2024-25 school year, and those who used it weekly saved an estimated 5.9 hours per week [1]. That is real time freed up for what actually matters: coaching kids through hands-on projects.
The parts of this job that AI cannot touch are also the parts that define it. Supervising a shop class, reading a struggling student's body language, building trust with a twelve-year-old who has never felt good at school: none of that runs on software. The Association for Career and Technical Education describes a model where teachers and students work alongside AI rather than being replaced by it [3], which matches what we see in the data.
The honest concern is job market demand. Employer demand for this role scores low through 2034, so competition for positions may tighten regardless of AI. The smart move is to treat AI fluency as a teaching skill, not a threat. A $23 million national initiative is already training teachers to do exactly that [4]. Learn the tools, keep the human core, and you stay relevant.
Sources

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Latest AI news for CTE Teachers, Middle School
These articles highlight the positive impact of AI on middle school Career/Technical Education (CTE) teachers. For instance, North Dakota schools are using AI to automate lesson planning and grading, allowing teachers to spend more quality time with students. Additionally, initiatives like the AI Career Coach developed by a UO professor show how AI can guide students in exploring career options. Embracing AI tools can enhance teaching effectiveness and student engagement, providing essential skills for future CTE educators while fostering resilience in adapting to technological advancements.

FETC 2026: How CTE and AI Are Defining the Future of Learning
edtechmagazine.com • 1/14/2026
Artificial intelligence is transforming career and technical education and showing students real-world career pathways.

How AI Is Changing Career and Technical Education
www.edweek.org • 11/17/2025
A CTE expert recommends teachers and students fact check any information or advice AI generates.

North Dakota Schools Say AI Is Giving Teachers More Time With Students
www.governing.com • 11/5/2025
By automating tasks like lesson planning, grading and progress tracking, classrooms in North Dakota are freeing up instructor hours.

AI Changes the Game for CTE
www.nsba.org • 9/29/2025
Artificial intelligence has the potential to transform career and technical education. The enthusiasm—amid some lingering wariness—around using artificial...

UO professor develops AI Career Coach to assist Oregon students
news.uoregon.edu • 11/13/2024
Last spring Zach Knapp gave his middle school pupils an assignment: have conversations with an artificial intelligence chatbot about possible future careers...
More Career Info
Career: Career/Technical Education Teachers, Middle School
They teach middle school students practical skills for various careers, helping them learn by doing hands-on activities and projects.
Parent Careers
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Employment & Wage Data
Median Wage
$63,620
Jobs (2024)
14,000
Growth (2024-34)
-2.0%
Annual Openings
900
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
Meet with other professionals to discuss individual students' needs and progress.
2
Sponsor extracurricular activities such as clubs, student organizations, and academic contests.
3
Select, store, order, issue, inventory, and maintain classroom equipment, materials, and supplies.
4
Instruct and monitor students in the use and care of equipment and materials to prevent injuries and damage.
5
Meet with parents and guardians to discuss their children's progress and to determine priorities for their children and their resource needs.
6
Prepare for assigned classes and show written evidence of preparation upon request of immediate supervisors.
7
Establish and enforce rules for behavior and procedures for maintaining order among students.
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.
