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 21.7
Physical / roboticsrange 38.2 to 62.2
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
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
Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences.
50.2
Inspect and test products to verify conformance to specifications, using precision measuring instruments or circuit testers.
100.0
Drill, countersink, and ream holes in parts and assemblies for bolts, screws, and other fasteners, using power tools.
50.2
Cut, shape, and form metal parts, using lathes, power saws, snips, power brakes and shears, files, and mallets.
50.2
Set up and operate machines, such as lathes, drill presses, punch presses, or bandsaws, to fabricate prototypes or models.
50.2
Devise and construct tools, dies, molds, jigs, and fixtures, or modify existing tools and equipment.
50.2
Rework or alter component model or parts as required to ensure that products meet standards.
50.2
Grind, file, and sand parts to finished dimensions.
50.2
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Inspect and test products to verify conformance to specifications, using precision measuring instruments or circuit testers.
Local demand is declining
Task: Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences.
How this score is calculated
Map Model Makers, 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 9.7, robotics 50.2.
The timeline comes from the higher axis (50.2), 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.