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Comparison · dataset August 2026

Receptionist vs Warehouse Worker: which is more exposed to AI?

30 points apart. These are not comparable risk profiles.

Receptionist sits at 75% time-weighted AI exposure against 45% for Warehouse Worker, a 30-point gap driven by the 54% of receptionist work time that current models can already substitute outright. Warehouse Worker holds a larger human-critical core — 48% of the role's time sits in work like "load and unload trucks" that models score poorly on. The two sit in different families — Office & Administrative and Transportation — so any move between them is a career change, not a lateral step.

30PP GAP

Seven dimensions, side by side.

METRICRECEPTIONISTWAREHOUSE WORKERDELTA
AI exposure75%45%30pp gap
Resilience score35/10060/10025pt gap
Substitutable work time54%14%Fully automatable today
Human-critical work time24%48%Models score poorly here
Median salary$35k$39k$4k apart
10-year growth0%5%Warehouse Worker
US workforce1.0M1.7MBLS OEWS
Task level

What actually creates the gap.

Receptionists spend 54% of their time-weighted week on tasks a current model can produce end-to-end, against 14% for Warehouse Workers. The single largest contributor is "schedule appointments", graded at 92% and worth 16% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Receptionist
MOST EXPOSED TASKS
  • Schedule appointments92% · 16% time
  • Manage email and messages90% · 10% time
  • Answer routine phone inquiries88% · 16% time
  • Update records and data entry86% · 8% time
HUMAN-CRITICAL CORE
  • Handle upset visitors18% · 5% time
  • Greet and assess visitors in person22% · 12% time
  • Manage building access protocols30% · 4% 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 procedural — that is the part of your experience that travels intact. The real divide is manual: Warehouse Workers score 92 there against 24 for Receptionists, a 68-point spread. That is the gap you would actually have to close.

DIMENSIONRECEPTIONISTWAREHOUSE WORKER
Manual2492
Social7034
Judgement3052
Switching between them
HighDIFFICULTY

Neither role lists the other as a mapped adjacent career, and the capability profiles sit 33 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 Receptionist or Warehouse Worker more at risk from AI?

Receptionist. It scores 75% time-weighted AI exposure against 45% for Warehouse Worker — a 30-point gap. 54% of receptionist work time is already fully substitutable by current models, versus 14% for Warehouse Workers.

Which pays more, Receptionist or Warehouse Worker?

Warehouse Worker, by roughly $4k at the median ($39k versus $35k). 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 receptionist switch to being a warehouse worker?

Neither role lists the other as a mapped adjacent career, and the capability profiles sit 33 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, Receptionist or Warehouse Worker?

Warehouse Worker, at 5% projected ten-year growth versus 0% — 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.