Will AI replace Career/Technical Education Teachers, Postsecondary?

EXPOSED

The modal CTE instructor teaches welding, automotive, HVAC, culinary, nursing-assistant, or cosmetology programs at a community or technical college, and most of the job is standing in a shop or lab watching students' hands and correcting technique in real time — that does not digitize. What AI eats is the paperwork layer: syllabi, lecture slides, quiz banks, competency checklists, accreditation and program-review documentation, and grading of written work. Licensure protects the trades being taught more than the teacher; industry credentials and state program approval matter, but a signed stamp is rarely required to instruct.

10-year outlook: Enrollment in hands-on trade programs is holding or growing while the lecture-and-paperwork half of the job compresses, so expect fewer classroom hours, more lab hours, and instructors judged on placement rates and pass rates.

64/100 risk resistance · ±3 on re-score

US employment, 2019–2025+1.7%

112,210114,110 workers

Roughly flat across the period, with year-to-year wobble.

Median pay $54,620 → $63,820 -6.5% in real terms (nominal +16.8%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

+0.7% 122,200 → 123,000 on the projections basis

Growing, and only partly exposed

The BLS expects +0.7% more of these jobs by 2034, and at 64/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~8,800 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

TeacherProfessorInstructorMotor TeacherSales TeacherDriver TrainerFaculty MemberPrison TeacherChef InstructorWeather TeacherWeaving TeacherWelding TeacherDrafting TeacherInstructor PilotModeling TeacherBarbering TeacherCoding InstructorFlight InstructorKey Punch TeacherMillinery TeacherShorthand TeacherAccounting TeacherAdjunct InstructorMasonry Instructor

Score — 64/100 resistance

Holding it up: embodiment (16/20). Weakest point: liability shield (7/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 14 + 16 + 7 + 15 + 12 = 64. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 14/20

Tasks largely resist digitisation Watching a student lay a fillet weld and calling out travel speed and arc length before the puddle goes cold, or catching a phlebotomy student's bevel angle mid-stick, is the graded event itself — AI can write the rubric but cannot stand at the booth, which is why this sits at 14 rather than mid-band, held below 17 only because the lecture, syllabus, quiz-bank, and OSHA/theory modules that front-load most CTE courses are already being delivered by LMS content and generated slide decks.

Embodiment 16/20

Hands-on in uncontrolled environments You are on a shop floor with live 480V panels, refrigerant, deep fryers, chop saws, and cadaver-free but blood-borne-pathogen-exposed clinical labs, doing tool maintenance and shop safety walkthroughs alongside 18 students who have never held the equipment — 16 not 20 because the environment is a controlled institutional lab with lockouts and posted procedures, not a customer's crawlspace or a live jobsite.

Liability shield 7/20

Certification preferred, not legally required At 7 the credential is real but points outward: your welding CWI, ASE master tech, RN, or state cosmetology instructor licence is the hiring gate and in nursing-assistant and cosmetology programs the state board actually names an approved instructor of record, yet in most trade areas an employer accepts industry experience plus program approval, and negligence in the lab lands on the college's insurer rather than your personal licence.

Trust premium 15/20

The human relationship is the product Students enroll because a working tradesperson vouches for them to the employers who hire out of your program — the internship placement, the apprenticeship referral, the phone call to the shop foreman you worked with for twelve years — and that reputational pipeline is not transferable, sitting at 15 rather than 18 because completion certificates and third-party credentials (NCCER, ASE, ServSafe) carry weight independent of who taught you.

Judgment & accountability 12/20

Meaningful discretion You decide whether a student is safe to operate the equipment unsupervised and whether to sign off competency on a clinical or shop skill that goes into a state licensure file — real consequence — but 12 rather than 15 because those calls run against written competency checklists, accreditation-mandated hour counts, and program standards someone else wrote, so the ambiguity is in the marginal student rather than in the standard.

Confidence: medium · reviewed 2026-08-11 · how scoring works

How to future-proof this job

Become the designated proctor/evaluator for industry certification exams (AWS, ASE, NATE, ServSafe, state board practicals) — that signature is a scheduled, paid, in-person function.
Own the employer pipeline: run advisory boards, apprenticeship placements, and internship agreements so your value is the local hiring network, not the curriculum document.
Take charge of lab and shop safety compliance — OSHA training, equipment certification, incident accountability — a role the college must assign to a named human.
Let AI generate the written course materials and shift your contact hours toward one-on-one practical coaching and competency sign-off.

Training paths for your skill gaps: Coursera — people management and team leadership specialisations free to audit · edX — operations management and process monitoring courses free to audit · Coursera — customer service and client-facing skill courses free to audit · Coursera — project coordination and cross-team delivery free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

First-Line Supervisors of Firefighting and Prevention Workers SAFE · 80/100 · you already have ~60% of the skill profile

Skills to close: Management of Personnel Resources, Operations Monitoring, Service Orientation, Coordination

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 78/100 — SAFE.

4 specific changes that would raise this score

already happening liability shield +5

Accrediting and licensing bodies that require a named, credentialed human instructor-of-record to attest to each student's hands-on competency before a state credential is issued — e.g. state nurse aide (CNA) training rules under 42 CFR 483.152 requiring a qualified instructor to sign off skills checkoffs, AWS Certified Welding Instructor sign-off on performance qualification tests, state cosmetology boards' clock-hour attestation, and FAA Part 147 airframe/powerplant instructor certification. Extension of the same signature-and-liability model to HVAC (EPA 608 proctoring), automotive (ASE Education Foundation program accreditation), and CDL third-party skills examiners would deepen it; so would a board rule making the signing instructor personally liable for falsified hours or unverified competency.
already happening task resistance +3

Task-mix shift: this job genuinely has two tiers. If slide decks, quiz banks, syllabi, accreditation self-studies and program-review narratives are absorbed by institutional AI tooling, what remains is live hands-on coaching, shop safety supervision, equipment maintenance, and employer/apprenticeship liaison — the tier no current system does.
plausible judgment accountability +4

Formal gatekeeping duties written into program rules: the instructor deciding to remove a student from a live shop for unsafe conduct, deciding a student is not competent to sit a licensure exam, or being the designated third-party CDL/EPA/AWS examiner whose pass-fail call is auditable and revocable. OSHA-driven lab safety supervision responsibility and state audits of clock-hour records push the same way.
plausible trust premium +2

Employer-sponsored and union apprenticeship models where the sponsor (e.g. a registered apprenticeship under 29 CFR 29, IBEW/NECA JATCs, manufacturer academies like Toyota T-TEN or Caterpillar ThinkBIG) contracts specifically for a journey-level human instructor with documented field years. Growth in employer-paid upskilling contracts that name instructor credentials would raise this.

The limit. Embodiment is already near ceiling and cannot rise meaningfully. The main downside risk is not AI but enrollment and state funding: adjunctification and section consolidation cut headcount regardless of how these dimensions score.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 268 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ	4,820	$78,540 +23%
Los Angeles-Long Beach-Anaheim, CA	3,670	$75,450 +18%
Chicago-Naperville-Elgin, IL-IN	3,160	$63,100 -1%
Dallas-Fort Worth-Arlington, TX	3,110	$61,360 -4%
Miami-Fort Lauderdale-West Palm Beach, FL	2,490	$63,420 -1%
Houston-Pasadena-The Woodlands, TX	2,440	$74,570 +17%
Seattle-Tacoma-Bellevue, WA	2,070	$81,010 +27%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD	1,900	$64,530 +1%

Best paid

Chico, CA	50	$162,300 +154%
Ann Arbor, MI	250	$108,400 +70%
El Centro, CA	60	$106,620 +67%

Percentages are against this occupation's national median of $63,820. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 64. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

Watch this verdict

Kept current

The dispatch runs daily. 711 reported cases on file, 357 of them things a named organisation actually did. Newest landed yesterday. See it · RSS
Scores move on evidence, not on a clock. Re-scoring the same occupation drifts a couple of points on its own, so a scheduled refresh would mostly republish our own noise. An occupation is re-examined when deployments accumulate against it — which is why a verdict changing here means something. Last register revision 2026-08-11.
Employment updates once a year, when the BLS publishes. Every occupation carries its own 2019–2025 series.

Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.

Cooked Index — Career/Technical Education Teachers, Postsecondary: EXPOSED, 64/100.
Scored 2026-08-11 · printed from https://cookedindex.com/jobs/career-technical-education-teachers-postsecondary/
Verdicts are re-examined as evidence accumulates, so this sheet goes out of date. Check the page above for the current score, the reasoning behind each dimension, and what would move it.

Career/Technical Education Teachers, Postsecondary