Construction and Extraction · United States (national)
Helpers--Extraction Workers
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is highly exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
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 18.5
Physical / roboticsrange 58.6 to 82.6
When the change is likely
Partial, 5 to 10 yearslocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
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 71). 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
Observe and monitor equipment operation during the extraction process to detect any problems.
70.6
Drive moving equipment to transport materials and parts to excavation sites.
70.6
Unload materials, devices, and machine parts, using hand tools.
70.6
Set up and adjust equipment used to excavate geological materials.
70.6
Organize materials to prepare for use.
70.6
Repair and maintain automotive and drilling equipment, using hand tools.
70.6
Clean up work areas and remove debris after extraction activities are complete.
70.6
Clean and prepare sites for excavation or boring.
70.6
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Observe and monitor equipment operation during the extraction process to detect any problems.
Task: Drive moving equipment to transport materials and parts to excavation sites.
Local demand is growing
Lower-risk adjacent roles
Helpers--Installation, Maintenance, and Repair Workers
58.9
Earth Drillers, Except Oil and Gas
63.9
Helpers--Production Workers
64.1
Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters
66.5
Rotary Drill Operators, Oil and Gas
66.9
Helpers--Carpenters
70.2
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Helpers--Extraction 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 6.5, robotics 70.6.
The timeline comes from the higher axis (70.6), shifted for local demand (growing), 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.