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 17.6
Physical / roboticsrange 52.1 to 76.1
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 Helpers--Installation, Maintenance, and Repair Workers
It is skill-adjacent and less exposed (58.9 vs 64). 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
Load and unload items from machines, conveyors, and conveyances.
64.1
Operate machinery used in the production process, or assist machine operators.
64.1
Place products in equipment or on work surfaces for further processing, inspecting, or wrapping.
64.1
Examine products to verify conformance to quality standards.
64.1
Start machines or equipment to begin production processes.
64.1
Observe equipment operations so that malfunctions can be detected, and notify operators of any malfunctions.
64.1
Remove products, machine attachments, or waste material from machines.
64.1
Lift raw materials, finished products, and packed items, manually or using hoists.
64.1
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: Load and unload items from machines, conveyors, and conveyances.
Task: Operate machinery used in the production process, or assist machine operators.
Lower-risk adjacent roles
Helpers--Installation, Maintenance, and Repair Workers
58.9
Machine Feeders and Offbearers
60.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Helpers--Production Workers 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 5.6, robotics 64.1.
The timeline comes from the higher axis (64.1), 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.