JobBreak

Construction and Extraction · United States (national)

Roofers

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
0.0 of 100
AI / softwarerange 0.0 to 12.0
66.8 of 100
Physical / roboticsrange 54.8 to 78.8

When the change is likely

change likely 0y 5y 10y 15y 20+y

Near-term, high local 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 Floor Layers, Except Carpet, Wood, and Hard Tiles
It is skill-adjacent and less exposed (50.5 vs 67). 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.

Which of my tasks are exposed

Inspect problem roofs to determine the best repair procedures.
100.0
Remove snow, water, or debris from roofs prior to applying roofing materials.
66.8
Set up scaffolding to provide safe access to roofs.
66.8
Estimate materials and labor required to complete roofing jobs.
66.8
Cement or nail flashing strips of metal or shingle over joints to make them watertight.
66.8
Install partially overlapping layers of material over roof insulation surfaces, using chalk lines, gauges on shingling hatchets, or lines on shingles.
66.8
Cut felt, shingles, or strips of flashing to fit angles formed by walls, vents, or intersecting roof surfaces.
66.8
Apply plastic coatings, membranes, fiberglass, or felt over sloped roofs before applying shingles.
66.8

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Inspect problem roofs to determine the best repair procedures.
Task: Remove snow, water, or debris from roofs prior to applying roofing materials.

Lower-risk adjacent roles

Floor Layers, Except Carpet, Wood, and Hard Tiles
50.5
Insulation Workers, Floor, Ceiling, and Wall
62.0

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Roofers to its standard O*NET task list (8 core tasks).
  2. 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.
  3. The two axis scores are the task averages: AI 0.0, robotics 66.8.
  4. The timeline comes from the higher axis (66.8), shifted for local demand (stable), and seniority. It is read against your remaining working years.
  5. 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.

Check another job

Stay ahead of the curve. Get notified when the automation outlook for your job shifts.