Will AI replace Secretaries and Administrative Assistants, Except Legal, Medical, and Executive?
On paper, AI could touch ~64% of the work in Secretaries and Administrative Assistants, Except Legal, Medical, and Executive — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 43-6014
How your 20 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~64%). By late 2025, real-world AI use had caught up to about 45% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~64%), real-world use (~45%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 20 tasks, ratedBased on real task-level AI scores — click to collapse
- Create, maintain, and enter information into databases.
- Use computers for various applications, such as database management or word processing.
- Set up and manage paper or electronic filing systems, recording information, updating paperwork, or maintaining documents, such as attendance records, correspondence, or other material.
- Compose, type, and distribute meeting notes, routine correspondence, or reports, such as presentations or expense, statistical, or monthly reports.
- Complete forms in accordance with company procedures.
- Conduct searches to find needed information, using such sources as the Internet.
- Open, read, route, and distribute incoming mail or other materials and answer routine letters.
- Review work done by others to check for correct spelling and grammar, ensure that company format policies are followed, and recommend revisions.
- Train and assist staff with computer usage.
- Answer telephones and give information to callers, take messages, or transfer calls to appropriate individuals.
- Greet visitors or callers and handle their inquiries or direct them to the appropriate persons according to their needs.
- Operate electronic mail systems and coordinate the flow of information, internally or with other organizations.
- Schedule and confirm appointments for clients, customers, or supervisors.
- Maintain scheduling and event calendars.
- Locate and attach appropriate files to incoming correspondence requiring replies.
- Make copies of correspondence or other printed material.
- Learn to operate new office technologies as they are developed and implemented.
- Prepare conference or event materials, such as flyers or invitations.
- Operate office equipment, such as fax machines, copiers, or phone systems and arrange for repairs when equipment malfunctions.
- Order and dispense supplies.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.