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Comparison · dataset August 2026

Construction Laborer vs Elementary School Teacher: which is more exposed to AI?

Elementary School Teacher carries 11 points more AI exposure than Construction Laborer.

Elementary School Teacher sits at 26% time-weighted AI exposure against 15% for Construction Laborer, an 11-point gap driven by the 18% of elementary school teacher work time that current models can already substitute outright. Construction Laborer holds a larger human-critical core — 92% of the role's time sits in work like "use hand and power tools" that models score poorly on. The two sit in different families — Trades & Construction and Education — so any move between them is a career change, not a lateral step.

11PP GAP

Seven dimensions, side by side.

METRICCONSTRUCTION LABORERELEMENTARY SCHOOL TEACHERDELTA
AI exposure15%26%11pp gap
Resilience score93/10080/10013pt gap
Substitutable work time0%18%Fully automatable today
Human-critical work time92%64%Models score poorly here
Median salary$46k$63k$17k apart
10-year growth4%1%Construction Laborer
US workforce1.6M1.4MBLS OEWS
Task level

What actually creates the gap.

Elementary School Teachers spend 18% of their time-weighted week on tasks a current model can produce end-to-end, against 0% for Construction Laborers. The single largest contributor is "draft lesson plans", graded at 80% and worth 6% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Construction Laborer
MOST EXPOSED TASKS
    HUMAN-CRITICAL CORE
    • Use hand and power tools4% · 24% time
    • Move materials and prepare work areas6% · 28% time
    • Assist skilled trades on-site8% · 18% time
    Elementary School Teacher
    MOST EXPOSED TASKS
    • Draft lesson plans80% · 6% time
    • Prepare worksheets and materials78% · 4% time
    • Write parent communications76% · 3% time
    • Grade routine assignments74% · 5% time
    HUMAN-CRITICAL CORE
    • Build relationships with students5% · 12% time
    • Handle behavior and emotions6% · 10% time
    • Teach and manage the classroom8% · 34% time
    What transfers

    Both roles lean on judgement — that is the part of your experience that travels intact. The real divide is manual: Construction Laborers score 98 there against 34 for Elementary School Teachers, a 64-point spread. That is the gap you would actually have to close.

    DIMENSIONCONSTRUCTION LABORERELEMENTARY SCHOOL TEACHER
    Manual9834
    Social4894
    Creative1852
    Switching between them
    HighDIFFICULTY

    Neither role lists the other as a mapped adjacent career, and the capability profiles sit 39 points apart on average. Treat a move between them as a genuine career change with a retraining cost, not as a hedge against AI exposure.

    Score your own exposure in 8 questions →

    Common questions.

    Is Construction Laborer or Elementary School Teacher more at risk from AI?

    Elementary School Teacher. It scores 26% time-weighted AI exposure against 15% for Construction Laborer — an 11-point gap. 18% of elementary school teacher work time is already fully substitutable by current models, versus 0% for Construction Laborers.

    Which pays more, Construction Laborer or Elementary School Teacher?

    Elementary School Teacher, by roughly $17k at the median ($63k versus $46k). Note that the higher-paying role here is also the more AI-exposed one, which matters if you are weighing pay against durability.

    Can a construction laborer switch to being a elementary school teacher?

    Neither role lists the other as a mapped adjacent career, and the capability profiles sit 39 points apart on average. Treat a move between them as a genuine career change with a retraining cost, not as a hedge against AI exposure.

    Which role is growing faster, Construction Laborer or Elementary School Teacher?

    Construction Laborer, at 4% projected ten-year growth versus 1% — a 3-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

    Methodology
    Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.