Construction and Extraction · United States (national)
First-Line Supervisors of Construction Trades and Extraction Workers
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 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 8.0 to 32.0
Physical / roboticsrange 43.0 to 67.0
When the change is likely
Partial, 5 to 10 yearslocal demand stable
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 First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand
It is skill-adjacent and less exposed (35.6 vs 55). 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
Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
100.0
Read specifications, such as blueprints, to determine construction requirements or to plan procedures.
55.0
Supervise, coordinate, or schedule the activities of construction or extractive workers.
100.0
Assign work to employees, based on material or worker requirements of specific jobs.
55.0
Coordinate work activities with other construction project activities.
100.0
Estimate material or worker requirements to complete jobs.
55.0
Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans.
55.0
Order or requisition materials or supplies.
55.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
Task: Supervise, coordinate, or schedule the activities of construction or extractive workers.
Lower-risk adjacent roles
First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand
35.6
First-Line Supervisors of Material-Moving Machine and Vehicle Operators
47.1
First-Line Supervisors of Mechanics, Installers, and Repairers
47.2
Solar Energy Installation Managers
53.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map First-Line Supervisors of Construction Trades and 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 20.0, robotics 55.0.
The timeline comes from the higher axis (55.0), shifted for local demand (stable), 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.