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Comparison · dataset August 2026

Construction Laborer vs Warehouse Worker: which is more exposed to AI?

30 points apart. These are not comparable risk profiles.

Warehouse Worker sits at 45% time-weighted AI exposure against 15% for Construction Laborer, a 30-point gap driven by the 14% of warehouse worker 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 Transportation — so any move between them is a career change, not a lateral step.

30PP GAP

Seven dimensions, side by side.

METRICCONSTRUCTION LABORERWAREHOUSE WORKERDELTA
AI exposure15%45%30pp gap
Resilience score93/10060/10033pt gap
Substitutable work time0%14%Fully automatable today
Human-critical work time92%48%Models score poorly here
Median salary$46k$39k$7k apart
10-year growth4%5%Warehouse Worker
US workforce1.6M1.7MBLS OEWS
Task level

What actually creates the gap.

Warehouse Workers spend 14% 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 "scan inventory and update systems", graded at 84% and worth 14% 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
    Warehouse Worker
    MOST EXPOSED TASKS
    • Scan inventory and update systems84% · 14% time
    HUMAN-CRITICAL CORE
    • Load and unload trucks12% · 12% time
    • Maintain safety and housekeeping16% · 8% time
    • Handle exceptions and damaged goods18% · 12% time
    What transfers

    Both roles lean on manual, procedural — that is the part of your experience that travels intact. Beyond that, the two capability profiles are unusually close: no dimension separates them by more than 15 points, which is why the switch difficulty below reads the way it does.

    Switching between them
    LowDIFFICULTY

    Neither role lists the other as a mapped adjacent career, but the capability profiles are only 9 points apart on average. In practice that means a move is plausible without retraining from scratch — the constraint is credentials and hiring convention, not capability.

    Score your own exposure in 8 questions →

    Common questions.

    Is Construction Laborer or Warehouse Worker more at risk from AI?

    Warehouse Worker. It scores 45% time-weighted AI exposure against 15% for Construction Laborer — a 30-point gap. 14% of warehouse worker work time is already fully substitutable by current models, versus 0% for Construction Laborers.

    Which pays more, Construction Laborer or Warehouse Worker?

    Construction Laborer, by roughly $7k at the median ($46k versus $39k). Note that the higher-paying role here is also the less AI-exposed one, which matters if you are weighing pay against durability.

    Can a construction laborer switch to being a warehouse worker?

    Neither role lists the other as a mapped adjacent career, but the capability profiles are only 9 points apart on average. In practice that means a move is plausible without retraining from scratch — the constraint is credentials and hiring convention, not capability.

    Which role is growing faster, Construction Laborer or Warehouse Worker?

    Warehouse Worker, at 5% projected ten-year growth versus 4% — a 1-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.