Construction and Extraction · United States (national)
Structural Iron and Steel 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 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 60.5 to 84.5
When the change is likely
Near-term, highlocal demand stable
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 Structural Metal Fabricators and Fitters
It is skill-adjacent and less exposed (60.9 vs 72). 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
Free shows where you stand today. JobBreak Monitor writes your full AI-researched plan and keeps watching, so you know the moment your outlook shifts.
Free
$0
See exactly where you stand.
Full job-risk score & timeline
Task-by-task exposure breakdown
One starter strategy
AI-researched personal plan
Ongoing monitoring & alerts
Current plan
Keep ahead
JobBreak Monitor
$3.99/mo
$29/yr
or $29/yr save 39%
that's about $2.42/mo, billed yearly
Your full researched plan, plus a watch on your job.
Everything in Free
Full AI-researched, cited action plan
Resume-aware personalisation
Re-run your plan any time
Alerts when your outlook shifts
Start monitoring
Secure checkout by Stripe. Cancel anytime.
Which of my tasks are exposed
Read specifications or blueprints to determine the locations, quantities, or sizes of materials required.
72.5
Connect columns, beams, and girders with bolts, following blueprints and instructions from supervisors.
72.5
Bolt aligned structural steel members in position for permanent riveting, bolting, or welding into place.
72.5
Fasten structural steel members to hoist cables, using chains, cables, or rope.
72.5
Hoist steel beams, girders, or columns into place, using cranes or signaling hoisting equipment operators to lift and position structural steel members.
72.5
Verify vertical and horizontal alignment of structural steel members, using plumb bobs, laser equipment, transits, or levels.
100.0
Cut, bend, or weld steel pieces, using metal shears, torches, or welding equipment.
72.5
Erect metal or precast concrete components for structures, such as buildings, bridges, dams, towers, storage tanks, fences, or highway guard rails.
72.5
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Verify vertical and horizontal alignment of structural steel members, using plumb bobs, laser equipment, transits, or levels.
Task: Read specifications or blueprints to determine the locations, quantities, or sizes of materials required.
Lower-risk adjacent roles
Structural Metal Fabricators and Fitters
60.9
Carpenters
65.8
Sheet Metal Workers
67.1
Reinforcing Iron and Rebar Workers
69.0
Boilermakers
69.3
Millwrights
70.7
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Structural Iron and Steel 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 0.0, robotics 72.5.
The timeline comes from the higher axis (72.5), 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.