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Comparison · dataset August 2026

Construction Laborer vs Delivery Driver: which is more exposed to AI?

33 points apart. These are not comparable risk profiles.

Delivery Driver sits at 48% time-weighted AI exposure against 15% for Construction Laborer, a 33-point gap driven by the 20% of delivery driver 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.

33PP GAP

Seven dimensions, side by side.

METRICCONSTRUCTION LABORERDELIVERY DRIVERDELTA
AI exposure15%48%33pp gap
Resilience score93/10050/10043pt gap
Substitutable work time0%20%Fully automatable today
Human-critical work time92%46%Models score poorly here
Median salary$46k$45k$1k apart
10-year growth4%9%Delivery Driver
US workforce1.6M1.4MBLS OEWS
Task level

What actually creates the gap.

Delivery Drivers spend 20% 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 "send delivery status updates", graded at 90% and worth 4% 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
    Delivery Driver
    MOST EXPOSED TASKS
    • Send delivery status updates90% · 4% time
    • Plan and sequence routes88% · 8% time
    • Log proof of delivery84% · 4% time
    • Optimize daily schedules80% · 4% time
    HUMAN-CRITICAL CORE
    • Interact with customers14% · 10% time
    • Handle doorstep exceptions18% · 8% time
    • Secure high-value deliveries22% · 6% time
    What transfers

    Both roles lean on manual, procedural — that is the part of your experience that travels intact. The real divide is judgement: Construction Laborers score 62 there against 40 for Delivery Drivers, a 22-point spread. That is the gap you would actually have to close.

    DIMENSIONCONSTRUCTION LABORERDELIVERY DRIVER
    Judgement6240
    Manual9882
    Switching between them
    LowDIFFICULTY

    Neither role lists the other as a mapped adjacent career, but the capability profiles are only 12 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 Delivery Driver more at risk from AI?

    Delivery Driver. It scores 48% time-weighted AI exposure against 15% for Construction Laborer — a 33-point gap. 20% of delivery driver work time is already fully substitutable by current models, versus 0% for Construction Laborers.

    Which pays more, Construction Laborer or Delivery Driver?

    Construction Laborer, by roughly $1k at the median ($46k versus $45k). 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 delivery driver?

    Neither role lists the other as a mapped adjacent career, but the capability profiles are only 12 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 Delivery Driver?

    Delivery Driver, at 9% projected ten-year growth versus 4% — a 5-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.