Will AI replace Office Machine Operators, Except Computer?
Work in Office Machine Operators, Except Computer sits in the in-between: AI reaches some of it (~40% in theory) but is only measured doing about 2% today — part human, part machine.
O*NET-SOC 43-9071
How your 16 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 (~40%). By late 2025, real-world AI use had reached about 2% of its task activity (still rare). 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.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~40%), but real-world use is only ~2%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed.
- Sort, assemble, and proof completed work.
- Complete records of production, including work volumes and outputs, materials used, and any backlogs.
- Compute prices for services and receive payment, or provide supervisors with billing information.
- File and store completed documents.
- Operate office machines such as high speed business photocopiers, readers, scanners, addressing machines, stencil-cutting machines, microfilm readers or printers, folding and inserting machines, bursters, and binder machines.
- Maintain stock of supplies, and requisition any needed items.
- Prepare and process papers for use in scanning, microfilming, and microfiche.
- Deliver completed work.
- Place original copies in feed trays, feed originals into feed rolls, or position originals on tables beneath camera lenses.
- Set up and adjust machines, regulating factors such as speed, ink flow, focus, and number of copies.
- Load machines with materials such as blank paper or film.
- Monitor machine operation, and make adjustments as necessary to ensure proper operation.
- Clean machines, perform minor repairs, and report major repair needs.
- Operate auxiliary machines such as collators, pad and tablet making machines, staplers, and paper punching, folding, cutting, and perforating machines.
- Clean and file master copies or plates.
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.