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Office and Administrative Support · United States (national)

Medical Secretaries and Administrative Assistants

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
61.1 of 100
AI / softwarerange 49.1 to 73.1
20.2 of 100
Physical / roboticsrange 8.2 to 32.2

When the change is likely

unlikely soon 0y 5y 10y 15y 20+y

Largely unaffected local demand growing

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Medical Assistants
It is skill-adjacent and less exposed (34.0 vs 61). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Answer telephones and direct calls to appropriate staff.
61.1
Schedule and confirm patient diagnostic appointments, surgeries, or medical consultations.
61.1
Complete insurance or other claim forms.
61.1
Greet visitors, ascertain purpose of visit, and direct them to appropriate staff.
50.0
Transmit correspondence or medical records by mail, e-mail, or fax.
61.1
Maintain medical records, technical library, or correspondence files.
61.1
Receive and route messages or documents, such as laboratory results, to appropriate staff.
61.1
Interview patients to complete documents, case histories, or forms, such as intake or insurance forms.
50.0

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Answer telephones and direct calls to appropriate staff.
Task: Schedule and confirm patient diagnostic appointments, surgeries, or medical consultations.
Local demand is growing

Lower-risk adjacent roles

Medical Assistants
34.0
Office Clerks, General
50.0
Medical Records Specialists
55.9
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
56.7
Patient Representatives
57.1
Receptionists and Information Clerks
58.3

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Medical Secretaries and Administrative Assistants to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 61.1, robotics 20.2.
  4. The timeline comes from the higher axis (61.1), shifted for local demand (growing), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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