Will AI replace Roofers?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 2% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Cover roofs of structures with shingles, slate, asphalt, aluminum, wood, or related materials. May spray roofs, sidings, and walls with material to bind, seal, insulate, or soundproof sections of structures.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Estimate materials and labor required to complete roofing jobs.
Out of reach(24)
- Cover exposed nailheads with roofing cement or caulking to prevent water leakage or rust.
- Install, repair, or replace single-ply roofing systems, using waterproof sheet materials such as modified plastics, elastomeric, or other asphaltic compositions.
- 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.
- Remove snow, water, or debris from roofs prior to applying roofing materials.
- Cut felt, shingles, or strips of flashing to fit angles formed by walls, vents, or intersecting roof surfaces.
and 19 more
Also called
Journeyman Roofer · Metal Roofing Mechanic · Roofing Technician (Roofing Tech) · Sheet Metal Roofer · Aluminum Shingle Roofer · Asbestos Shingle Roofer · Composition Roofer · Gravel Roofer
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics