Will AI replace Roofers?
Most of the work in Roofers still leans on things AI struggles with — research rates its theoretical AI reach at only ~4%, and real-world use lower still.
O*NET-SOC 47-2181
How your 22 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~4%). By late 2025, real-world AI use had reached about 2% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~4%), real-world use (~2%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 22 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- Inspect problem roofs to determine the best repair procedures.
- Estimate materials and labor required to complete roofing jobs.
- Remove snow, water, or debris from roofs prior to applying roofing materials.
- Set up scaffolding to provide safe access to roofs.
- Cement or nail flashing strips of metal or shingle over joints to make them watertight.
- Install partially overlapping layers of material over roof insulation surfaces, using chalk lines, gauges on shingling hatchets, or lines on shingles.
- Cut felt, shingles, or strips of flashing to fit angles formed by walls, vents, or intersecting roof surfaces.
- Apply plastic coatings, membranes, fiberglass, or felt over sloped roofs before applying shingles.
- Install, repair, or replace single-ply roofing systems, using waterproof sheet materials such as modified plastics, elastomeric, or other asphaltic compositions.
- Attach roofing paper to roofs in overlapping strips to form bases for other materials.
- Cover roofs or exterior walls of structures with slate, asphalt, aluminum, wood, gravel, gypsum, or related materials, using brushes, knives, punches, hammers, or other tools.
- Waterproof or damp-proof walls, floors, roofs, foundations, or basements by painting or spraying surfaces with waterproof coatings or by attaching waterproofing membranes to surfaces.
- Apply reflective roof coatings, such as special paints or single-ply roofing sheets, to existing roofs to reduce solar heat absorption.
- Apply alternate layers of hot asphalt or tar and roofing paper to roofs.
- Install vapor barriers or layers of insulation on flat roofs.
- Cover exposed nailheads with roofing cement or caulking to prevent water leakage or rust.
- Smooth rough spots to prepare surfaces for waterproofing, using hammers, chisels, or rubbing bricks.
- Glaze top layers to make a smooth finish or embed gravel in the bitumen for rough surfaces.
- Mop or pour hot asphalt or tar onto roof bases.
- Install attic ventilation systems, such as turbine vents, gable or ridge vents, or conventional or solar-powered exhaust fans.
- Install skylights on roofs to increase natural light inside structures or to reduce energy costs.
- Apply gravel or pebbles over top layers of roofs, using rakes or stiff-bristled brooms.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.