Administrative Assistants
Overall Exposure
2025 vs 2023
Theoretical Exposure
88What AI could do
Observed Exposure
40What AI actually does
Automation Risk Score
56Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Task Breakdown
About This Occupation
If you work as a Administrative Assistants, AI is reshaping your profession. With an automation risk of 56/100 and overall exposure at 58%, this role faces high transformation. The highest-impact area is draft correspondence at 75% automation. This is classified as an 'mixed' role. BLS projects -10% decline through 2034. Professionals who embrace AI tools will see their capabilities significantly amplified.
ISCO-08 classification
Secretaries (general)
Definition
ILO original text (English)
Secretaries (general) use typewriters, personal computers or other word-processing equipment to transcribe correspondence and other documents, check and format documents prepared by other staff, deal with incoming and outgoing mail, screen requests for meetings or appointments, and perform a variety of administrative support tasks.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET43-6014.00
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
Perform routine administrative functions such as drafting correspondence, scheduling appointments, organizing and maintaining paper and electronic files, or providing information to callers.
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Frequently Asked Questions
With an automation risk score of 56%, Administrative Assistants faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.
Our estimated AI automation risk score for Administrative Assistants is 56% for 2025. Estimated overall AI exposure is 58%, with 88% theoretical exposure and 40% observed exposure. The estimated risk trend from 2023 to 2025 is +8 points. All of these are model-generated estimates, not measurements.
The tasks with the highest automation potential for Administrative Assistants are: Draft correspondence (75%), Schedule meetings (60%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.
We estimate a -10% employment change for Administrative Assistants between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 58%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Administrative Assistants should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.
Recent AI Impact Changes
Apr 2026: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
[Source: NBER Working Paper 34836]Apr 2026: Brookings 2024 flags office/admin support (19M US workers, majority female) as among the five highest-exposure occupation families to generative AI. Over 50% of daily tasks are exposure-scored as assistable or replaceable by current LLMs.
[Source: Brookings 2024 — Generative AI, the American worker]Apr 2026: OpenAI framework flags administrative assistants in office/administrative high-risk band; ChatGPT usage in this category is roughly 3x the average.
[Source: OpenAI Jobs Transition Framework, April 2026]