Will AI replace Office Clerks, General?
On paper, AI could touch ~58% of the work in Office Clerks, General — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 43-9061
How your 12 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 moderate share of this job's tasks (~58%). 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 (~58%), 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 12 tasks, ratedBased on real task-level AI scores — click to collapse
- Maintain and update filing, inventory, mailing, and database systems, either manually or using a computer.
- Compile, copy, sort, and file records of office activities, business transactions, and other activities.
- Compute, record, and proofread data and other information, such as records or reports.
- Type, format, proofread, and edit correspondence and other documents, from notes or dictating machines, using computers or typewriters.
- Answer telephones, direct calls, and take messages.
- Communicate with customers, employees, and other individuals to answer questions, disseminate or explain information, take orders, and address complaints.
- Review files, records, and other documents to obtain information to respond to requests.
- Open, sort, and route incoming mail, answer correspondence, and prepare outgoing mail.
- Complete work schedules, manage calendars, and arrange appointments.
- Inventory and order materials, supplies, and services.
- Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers.
- Deliver messages and run errands.
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.