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 12.0
Physical / roboticsrange 49.9 to 73.9
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 (47.6 vs 62). 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
Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.
61.9
Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.
100.0
Position or align components for assembly, manually or using hoists.
61.9
Set and verify parts clearances.
61.9
Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers.
61.9
Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment.
61.9
Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools.
61.9
Lay out and drill, ream, tap, or cut parts for assembly.
61.9
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.
Local demand is declining
Task: Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.
Lower-risk adjacent roles
Electromechanical Equipment Assemblers
47.6
Electrical and Electronic Equipment Assemblers
50.1
Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
57.5
Industrial Machinery Mechanics
58.8
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Engine and Other Machine Assemblers 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 0.0, robotics 61.9.
The timeline comes from the higher axis (61.9), 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.