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Comparison · dataset August 2026

Administrative Assistant vs Delivery Driver: which is more exposed to AI?

36 points apart. These are not comparable risk profiles.

Administrative Assistant sits at 84% time-weighted AI exposure against 48% for Delivery Driver, a 36-point gap driven by the 56% of administrative assistant work time that current models can already substitute outright. Delivery Driver holds a larger human-critical core — 46% of the role's time sits in work like "interact with customers" 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.

36PP GAP

Seven dimensions, side by side.

METRICADMINISTRATIVE ASSISTANTDELIVERY DRIVERDELTA
AI exposure84%48%36pp gap
Resilience score34/10050/10016pt gap
Substitutable work time56%20%Fully automatable today
Human-critical work time22%46%Models score poorly here
Median salary$46k$45k$1k apart
10-year growth-8%9%Delivery Driver
US workforce2.9M1.4MBLS OEWS
Task level

What actually creates the gap.

Administrative Assistants spend 56% of their time-weighted week on tasks a current model can produce end-to-end, against 20% for Delivery Drivers. The single largest contributor is "schedule meetings and manage calendars", graded at 91% and worth 18% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Administrative Assistant
MOST EXPOSED TASKS
  • Schedule meetings and manage calendars91% · 18% time
  • Draft emails, memos, and documents88% · 16% time
  • Prepare meeting notes and summaries86% · 10% time
  • Organize files and maintain records84% · 12% time
HUMAN-CRITICAL CORE
  • Handle confidential judgment calls14% · 4% time
  • Support executives and teams in person18% · 8% time
  • Screen sensitive calls and visitors24% · 10% 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 procedural — that is the part of your experience that travels intact. The real divide is manual: Delivery Drivers score 82 there against 18 for Administrative Assistants, a 64-point spread. That is the gap you would actually have to close.

DIMENSIONADMINISTRATIVE ASSISTANTDELIVERY DRIVER
Manual1882
Cognitive5826
Creative328
Switching between them
HighDIFFICULTY

Neither role lists the other as a mapped adjacent career, and the capability profiles sit 34 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 Administrative Assistant or Delivery Driver more at risk from AI?

Administrative Assistant. It scores 84% time-weighted AI exposure against 48% for Delivery Driver — a 36-point gap. 56% of administrative assistant work time is already fully substitutable by current models, versus 20% for Delivery Drivers.

Which pays more, Administrative Assistant or Delivery Driver?

Administrative Assistant, by roughly $1k at the median ($46k versus $45k). 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 administrative assistant switch to being a delivery driver?

Neither role lists the other as a mapped adjacent career, and the capability profiles sit 34 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, Administrative Assistant or Delivery Driver?

Delivery Driver, at 9% projected ten-year growth versus -8% — a 17-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.