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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Roofers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of roofing is considered "Resilient" because the core tasks, like physically laying roofing materials and building structures, require human skill, judgment, and dexterity that AI can't replace. While AI tools, such as drones, help with inspections and planning, they only assist roofers rather than replace them.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
The career of roofing is considered "Resilient" because the core tasks, like physically laying roofing materials and building structures, require human skill, judgment, and dexterity that AI can't replace. While AI tools, such as drones, help with inspections and planning, they only assist roofers rather than replace them.
Read full analysisAnalysis of Current AI Resilience
Roofers
Updated Quarterly • Last Update: 2/17/2026

Today, most roofing tasks remain hands-on and hard to fully automate. For example, companies are using drones with AI cameras to inspect roofs faster and more safely than a person climbing a ladder [1]. The AI can spot missing shingles or leaks from the air, but it doesn’t actually fix anything.
Similarly, there are software tools that quickly measure a roof from images to help estimate materials and costs, saving time for roofers. However, physically laying roofing paper, spreading hot tar, building scaffolds and installing skylights still rely on skilled workers. Tech leaders note that construction trades are likely to stay in demand.
Nvidia’s CEO recently said the big push to build new factories and data centers will increase the need for construction workers, including roofers [2]. Ford’s CEO makes a similar point: industries like construction and maintenance are “essential” and won’t be done by AI alone [3]. In short, AI today mostly augments roofers (by helping inspect or plan), but core roofing work is done by people.

Roofing contracts tend to be done by small crews, and the automatic machines needed (like a robot roofer) are expensive and complex. Because humans can adapt to each roof’s shape and work safely in wind or rain, full automation is not common. Roofing firms may be cautious to adopt new AI tools quickly.
On the positive side, there are clear benefits: AI-driven drones improve worker safety by reducing falls, and software can speed up estimating bills of materials. But costs and training can slow things down. An Axios report notes that many construction businesses already struggle with workforce shortages and policy issues [3].
In fact, a recent Bloomberg interview cited by Tom’s Hardware found that construction wages have almost doubled in some markets due to a labor shortage [2]. This suggests companies must weigh high labor costs and tight schedules when considering AI. Overall, experts expect roofers’ jobs to change (learning to use new tools) but remain very much needed.
Human skills like problem-solving on uneven rooftops and creativity in custom repairs will continue to be valuable even as AI gives roofers new gadgets to help them work more efficiently [2] [3].

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They install and repair roofs to protect buildings from weather, ensuring they are safe and leak-free by using materials like shingles, metal, or tiles.
Median Wage
$50,970
Jobs (2024)
166,700
Growth (2024-34)
+5.9%
Annual Openings
12,700
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Set up scaffolding to provide safe access to roofs.
Remove snow, water, or debris from roofs prior to applying roofing materials.
Install solar roofing systems that have energy-collecting photovoltaic panels built into roofing membranes, shingles, or tiles.
Cement or nail flashing strips of metal or shingle over joints to make them watertight.
Install, repair, or replace single-ply roofing systems, using waterproof sheet materials such as modified plastics, elastomeric, or other asphaltic compositions.
Install vapor barriers or layers of insulation on flat roofs.
Smooth rough spots to prepare surfaces for waterproofing, using hammers, chisels, or rubbing bricks.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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