{
  "source": "Cooked Index — occupational AI risk register",
  "page": "https://cookedindex.com/jobs/middle-school-teachers-except-special-and-career-technical-education/",
  "methodology": "https://cookedindex.com/methodology",
  "notice": "Verdicts are re-examined as evidence accumulates. Re-fetch before relying on this; the page above always carries the current score.",
  "scored_at": "2026-08-11",
  "model": "claude-opus-5",
  "occupation": {
    "title": "Middle School Teachers, Except Special and Career/Technical Education",
    "soc_code": "25-2022",
    "category": "Education",
    "us_employment": 620090,
    "median_annual_wage": 64370
  },
  "verdict": "SAFE",
  "risk_resistance": 71,
  "contested": false,
  "near_boundary": false,
  "dimensions": {
    "task_resistance": 13,
    "embodiment": 15,
    "liability_shield": 12,
    "trust_premium": 18,
    "judgment_accountability": 13
  },
  "reasoning": {
    "task_resistance": "The gradeable artifacts — unit plans aligned to state standards, differentiated worksheets, quiz banks, rubric scoring of five-paragraph essays — are already machine-producible, which caps this below 14, but the daily core of redirecting an off-task 13-year-old, reading which student's shutdown is grief versus defiance, and running a 45-minute lab with 28 bodies and one set of scissors has no digital substitute, holding it at 13.",
    "embodiment": "Cafeteria and hallway duty, bus dismissal, breaking up a shoving match, walking a nosebleed to the nurse, and chaperoning field trips put you in unscripted physical space with minors daily — short of trades work in an active hazard zone, which is why this sits at 15 and not 18.",
    "liability_shield": "State teaching licence with subject endorsement and periodic renewal, plus personal mandatory-reporter exposure under state child-abuse statutes and in-loco-parentis duty of care, means the credential is legally required for the room — 12 rather than higher because district and state immunity absorbs most negligence claims and you are rarely the named defendant.",
    "trust_premium": "A 12-year-old's willingness to attempt algebra in front of peers depends on whether they believe you specifically won't humiliate them; add the parent who emails you rather than the counselor and the advisory-period disclosure that starts a referral, and the relationship is the mechanism of instruction, not a wrapper on it — hence 18.",
    "judgment_accountability": "You decide in real time whether a behavior is a warning, a call home, or an office referral that starts a discipline record, and whether a comment about home warrants a report — real discretion, but bounded by the district code of conduct, IEP/504 accommodations you must follow, and pacing guides, which is why this lands at 13 rather than in the ownership band."
  },
  "rationale": "Middle school teaching is 80% classroom management, adolescent motivation, and physical supervision of 25 twelve-year-olds — none of which AI touches. Lesson plans, worksheets, quiz banks, rubric-based grading, and parent-email drafting are already being generated by AI, which will absorb prep hours rather than jobs. State licensure, mandatory-reporter duties, and in-loco-parentis custody of minors make an adult body in the room legally non-optional.",
  "outlook": "Headcount holds roughly flat through the 2030s on enrollment and supervision requirements, while AI quietly eats prep and grading and shifts the job further toward coaching, behavior, and intervention.",
  "what_would_raise_it": {
    "levers": [
      {
        "dimension": "liability_shield",
        "change": "State legislatures or boards of education codifying that AI may not be the instructor of record and that a licensed teacher must supervise and sign off on any AI-generated instruction, IEP-adjacent accommodation, or grade of record — the pattern in bills already filed in states like Tennessee, Ohio and California on AI use in K-12, plus existing FERPA/COPPA data-handling duties assigned to a named certificated employee",
        "plausibility": "already happening",
        "would_add": 4
      },
      {
        "dimension": "liability_shield",
        "change": "Expansion of mandatory-reporter and student-safety liability: statutes or district policy making the supervising teacher explicitly responsible for detecting AI-flagged self-harm/threat signals and acting, so the human is the accountable link in the chain (already emerging in threat-assessment team requirements after school-safety laws in TX, FL)",
        "plausibility": "plausible",
        "would_add": 2
      },
      {
        "dimension": "trust_premium",
        "change": "Ratio and class-size floors written into state law or union contract (e.g. CTU/UTLA-style bargaining over class size and 'no AI substitute for staffing'), which converts parental preference for human teachers into an enforced headcount rather than a sentiment",
        "plausibility": "already happening",
        "would_add": 2
      },
      {
        "dimension": "judgment_accountability",
        "change": "Task-mix shift: as AI absorbs lesson drafting, quiz banks and rubric grading, the residual job concentrates in the judgment tier — behavior escalation, retention and placement recommendations, MTSS/504 referrals, custody and safety calls — raising the share of the day spent on consequential ambiguous decisions",
        "plausibility": "already happening",
        "would_add": 3
      },
      {
        "dimension": "task_resistance",
        "change": "Same task-mix shift raises the resistant share: if prep and grading are automated, what remains (de-escalation, adolescent motivation, live differentiation for 25 bodies) is the part AI cannot do — though this can also cut hours per teacher rather than raise the score",
        "plausibility": "plausible",
        "would_add": 2
      }
    ],
    "ceiling_note": "Embodiment is already near its practical maximum for a supervised-minors role and cannot rise. The main downside risk is not AI capability but staffing policy: larger classes plus AI tooling reduce headcount without changing any dimension score."
  },
  "adjudication": null,
  "employment_history": {
    "points": [
      {
        "y": 2017,
        "emp": 622340,
        "wage": 57720
      },
      {
        "y": 2018,
        "emp": 609970,
        "wage": 58600
      },
      {
        "y": 2019,
        "emp": 622330,
        "wage": 59660
      },
      {
        "y": 2020,
        "emp": 599520,
        "wage": 60810
      },
      {
        "y": 2021,
        "emp": 592000,
        "wage": 61320
      },
      {
        "y": 2022,
        "emp": 611120,
        "wage": 61810
      },
      {
        "y": 2023,
        "emp": 626690,
        "wage": 64290
      },
      {
        "y": 2024,
        "emp": 620370,
        "wage": 62970
      },
      {
        "y": 2025,
        "emp": 620090,
        "wage": 64370
      }
    ],
    "from": 2017,
    "to": 2025,
    "change_pct": -0.4,
    "comparable_from": 2019,
    "spans_soc_revision": true
  },
  "pivots": [],
  "license": "https://cookedindex.com/terms"
}