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 0.0 to 22.9
Physical / roboticsrange 44.2 to 68.2
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.
3
Pivot toward Model Makers, Metal and Plastic
It is skill-adjacent and less exposed (50.2 vs 56). 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
Verify dimensions, alignments, and clearances of finished parts for conformance to specifications, using measuring instruments such as calipers, gauge blocks, micrometers, or dial indicators.
100.0
Set up and operate conventional or computer numerically controlled machine tools such as lathes, milling machines, or grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes.
56.2
Visualize and compute dimensions, sizes, shapes, and tolerances of assemblies, based on specifications.
56.2
Study blueprints, sketches, models, or specifications to plan sequences of operations for fabricating tools, dies, or assemblies.
56.2
Fit and assemble parts to make, repair, or modify dies, jigs, gauges, and tools, using machine tools, hand tools, or welders.
56.2
Inspect finished dies for smoothness, contour conformity, and defects.
100.0
Select metals to be used from a range of metals and alloys, based on properties such as hardness or heat tolerance.
56.2
Lift, position, and secure machined parts on surface plates or worktables, using hoists, vises, v-blocks, or angle plates.
56.2
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Verify dimensions, alignments, and clearances of finished parts for conformance to specifications, using measuring instruments such as calipers, gauge blocks, micrometers, or dial indicators.
Task: Inspect finished dies for smoothness, contour conformity, and defects.
Local demand is declining
Lower-risk adjacent roles
Model Makers, Metal and Plastic
50.2
Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
50.4
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Tool and Die Makers 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 10.9, robotics 56.2.
The timeline comes from the higher axis (56.2), 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.