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 1.0 to 25.0
Physical / roboticsrange 47.6 to 71.6
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 Fabric and Apparel Patternmakers
It is skill-adjacent and less exposed (32.0 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.
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Which of my tasks are exposed
Verify conformance of patterns or template dimensions to specifications, using measuring instruments such as calipers, scales, and micrometers.
59.6
Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns.
59.6
Repair and rework templates and patterns.
59.6
Assemble pattern sections, using hand tools, bolts, screws, rivets, glue, or welding equipment.
59.6
Read and interpret blueprints or drawings of parts to be cast or patterns to be made, compute dimensions, and plan operational sequences.
59.6
Construct platforms, fixtures, and jigs for holding and placing patterns.
59.6
Clean and finish patterns or templates, using emery cloths, files, scrapers, and power grinders.
59.6
Mark identification numbers or symbols onto patterns or templates.
59.6
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: Verify conformance of patterns or template dimensions to specifications, using measuring instruments such as calipers, scales, and micrometers.
Task: Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns.
Lower-risk adjacent roles
Fabric and Apparel Patternmakers
32.0
Model Makers, Metal and Plastic
50.2
Patternmakers, Wood
54.5
Tool and Die Makers
56.2
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Patternmakers, Metal and Plastic 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 13.0, robotics 59.6.
The timeline comes from the higher axis (59.6), 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.