Will AI replace Office Machine Operators, Except Computer?
AI reaches little of this job’s work.
17/100
Low exposure
More exposed to AI than 29% of US workers.
- AI already used in
- 5% of the work
- As AI tools mature: up to
- 34% of the work
What the job involves
Operate one or more of a variety of office machines, such as photocopying, photographic, and duplicating machines, or other office machines.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Compute prices for services and receive payment, or provide supervisors with billing information.
Within reach(5)
- Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed.
- Clean machines, perform minor repairs, and report major repair needs.
- File and store completed documents.
- Complete records of production, including work volumes and outputs, materials used, and any backlogs.
- Prepare and process papers for use in scanning, microfilming, and microfiche.
Out of reach(12)
- Sort, assemble, and proof completed work.
- 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.
- 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.
and 7 more
Also called
Copy Machine Operator · Copy Center Operator · Braille Coder · Business Machine Operator · Check Embosser · Check Writing Machine Operator · Clerical Offset Duplicating Machine Operator · Collating Machine Operator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics