Loading
Comparison · dataset August 2026

Administrative Assistant vs Receptionist: which is more exposed to AI?

Administrative Assistant carries 9 points more AI exposure than Receptionist.

Administrative Assistant sits at 84% time-weighted AI exposure against 75% for Receptionist, a 9-point gap driven by the 56% of administrative assistant work time that current models can already substitute outright. Receptionist holds a larger human-critical core — 24% of the role's time sits in work like "handle upset visitors" that models score poorly on. Both roles sit inside Office & Administrative, so the exposure difference reflects task design rather than a change of field.

9PP GAP

Seven dimensions, side by side.

METRICADMINISTRATIVE ASSISTANTRECEPTIONISTDELTA
AI exposure84%75%9pp gap
Resilience score34/10035/1001pt gap
Substitutable work time56%54%Fully automatable today
Human-critical work time22%24%Models score poorly here
Median salary$46k$35k$11k apart
10-year growth-8%0%Receptionist
US workforce2.9M1.0MBLS OEWS
Task level

What actually creates the gap.

Both roles hand a similar slice of the week to substitutable work — 56% for Administrative Assistants, 54% for Receptionists — but it is different work. Administrative Assistant exposure concentrates in "schedule meetings and manage calendars"; Receptionist exposure concentrates in "schedule appointments". Two roles can share a score and face completely different disruption timelines.

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
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
What transfers

Both roles lean on procedural, social — that is the part of your experience that travels intact. The real divide is judgement: Administrative Assistants score 56 there against 30 for Receptionists, a 26-point spread. That is the gap you would actually have to close.

DIMENSIONADMINISTRATIVE ASSISTANTRECEPTIONIST
Judgement5630
Cognitive5836
Creative3210
Switching between them
LowDIFFICULTY

Neither role lists the other as a mapped adjacent career, but the capability profiles are only 17 points apart on average and both sit in Office & Administrative. 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 Administrative Assistant or Receptionist more at risk from AI?

Administrative Assistant. It scores 84% time-weighted AI exposure against 75% for Receptionist — a 9-point gap. 56% of administrative assistant work time is already fully substitutable by current models, versus 54% for Receptionists.

Which pays more, Administrative Assistant or Receptionist?

Administrative Assistant, by roughly $11k at the median ($46k versus $35k). 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 receptionist?

Neither role lists the other as a mapped adjacent career, but the capability profiles are only 17 points apart on average and both sit in Office & Administrative. 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, Administrative Assistant or Receptionist?

Receptionist, at 0% projected ten-year growth versus -8% — an 8-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.