How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and the bigger shift looks near-term.
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 6.0 to 30.0
Physical / roboticsrange 47.7 to 71.7
When the change is likely
Near-term, highlocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
It is skill-adjacent and less exposed (45.9 vs 60). A lateral move now beats a forced one later.
4
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.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
Keep the monitor on
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Which of my tasks are exposed
Measure dimensions of finished workpieces to ensure conformance to specifications, using precision measuring instruments, templates, and fixtures.
100.0
Set up and operate computer-controlled machines or robots to perform one or more machine functions on metal or plastic workpieces.
59.7
Mount, install, align, and secure tools, attachments, fixtures, and workpieces on machines, using hand tools and precision measuring instruments.
59.7
Review program specifications or blueprints to determine and set machine operations and sequencing, finished workpiece dimensions, or numerical control sequences.
59.7
Stop machines to remove finished workpieces or to change tooling, setup, or workpiece placement, according to required machining sequences.
59.7
Listen to machines during operation to detect sounds such as those made by dull cutting tools or excessive vibration, and adjust machines to compensate for problems.
59.7
Implement changes to machine programs, and enter new specifications, using computers.
59.7
Calculate machine speed and feed ratios and the size and position of cuts.
59.7
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Measure dimensions of finished workpieces to ensure conformance to specifications, using precision measuring instruments, templates, and fixtures.
Local demand is declining
Task: Set up and operate computer-controlled machines or robots to perform one or more machine functions on metal or plastic workpieces.
Lower-risk adjacent roles
Computer Numerically Controlled Tool Programmers
45.9
Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
50.4
Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
56.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Computer Numerically Controlled Tool Operators 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 18.0, robotics 59.7.
The timeline comes from the higher axis (59.7), 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.