Office and Administrative Support · United States (national)
Office Machine Operators, Except Computer
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 5.6 to 29.6
Physical / roboticsrange 17.9 to 41.9
When the change is likely
Partial, 5 to 10 yearslocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Pivot toward Prepress Technicians and Workers
It is skill-adjacent and less exposed (26.6 vs 30). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed.
29.9
Deliver completed work.
29.9
Place original copies in feed trays, feed originals into feed rolls, or position originals on tables beneath camera lenses.
29.9
Sort, assemble, and proof completed work.
50.0
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.
29.9
Complete records of production, including work volumes and outputs, materials used, and any backlogs.
29.9
Compute prices for services and receive payment, or provide supervisors with billing information.
29.9
Set up and adjust machines, regulating factors such as speed, ink flow, focus, and number of copies.
29.9
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Local demand is declining
Task: Sort, assemble, and proof completed work.
Task: Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed.
Lower-risk adjacent roles
Prepress Technicians and Workers
26.6
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Office Machine Operators, Except Computer to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 17.6, robotics 29.9.
The timeline comes from the higher axis (29.9), shifted for local demand (declining), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.