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Roofing NewsRoofing Technology

Roofing Technology

How AI Is (and Isn’t) Impacting Roofing Jobs

Microsoft study shows blue-collar roofing jobs are safe, but office jobs are at risk

By Chris Gray
two-roofers-in-harnesses-on-tile-roof
Photo by Hanna Alves via Pexels.
August 5, 2025

A new study from tech giant Microsoft reveals that roofing and roofing helpers are among the occupations least vulnerable to artificial intelligence (AI).

The study confirms what most roofing contractors have likely concluded: blue-collar jobs, such as roofing, are among those that are less vulnerable to being replaced by AI. Conversely, white-collar jobs within roofing are those that could see AI taking over those roles.

Titled “Working with AI: Measuring the Occupational Implications of Generative AI,” the study analyzed a dataset of 200,000 anonymized and privately scrubbed conversations between users and Microsoft Bing Copilot, a publicly available AI chatbot, from nine months of usage.

Researchers found the most common work activities people sought Copilot’s assistance on and how successfully and broadly those activities are completed. They then combined that with data on which occupations perform those activities.

Tasks were analyzed by the “user goal” and “AI action.” The user goal was defined as someone seeking AI assistance for a task, while the AI action was when the AI itself performed a task in the conversation.

How Roofing Jobs are Impacted by AI

The study broke down occupations into two lists: the 40 most impacted and the 40 least impacted. Among the 40 occupations with the lowest exposure to AI, “helpers–roofing” is 25 on the list, while “roofers” is 27.

“The least-impacted occupations include occupations that require physically working with people … operating or monitoring machinery … and other manual labor,” the study said.


RELATED: AI: Its Power, Potential, and How to Begin


Other occupations like dishwashers, massage therapists, maids, cement masons and nursing assistants join roofing in being impacted the least by AI.

Meanwhile, tasks that involve information gathering, writing and communicating with others are the most common user goals in Copilot.

“We find the highest AI applicability scores for knowledge work occupation groups such as computer and mathematical, and office and administrative support, as well as occupations such as sales, whose work activities involve providing and communicating Information,” the study states.

Among the top 40 occupations with the highest ability score are sales representatives of services, telephone operators and customer service representatives. In other words, sales and administrative roles in roofing companies are at high risk of AI adoption and impact.

Automation or Augmentation?

The study’s goal was to contribute to the ongoing discourse over how much AI automates work activities versus augments them. For example, if a roofing contractor discovers its sales reps are 40% better with AI, does the company hire more reps to maximize that potential, or does it hire fewer reps because they can produce the same number of results?

“Our data is only about AI usage and we have no data on the downstream impacts of that usage, so we only weigh in on the automation vs. augmentation question by separately measuring the tasks that AI performs and assists,” the report says.

AI isn’t about to replace roofers, but it can replace inefficiencies within roofing. AI is already being used for quicker and more accurate inspections, measurements and estimates. It is also enhancing CRM systems and streamlining tasks like scheduling and communications. Contractors can even turn to it for marketing assistance.


RELATED: Dear Anna: Where Do I Use AI in Marketing?


“Early adopters are going to win bigger," said Josey Parks, CEO of RooFix and Think Unlimited, in a Best of Success podcast. "Contractors who embrace AI now are going to close jobs faster, reduce overhead, and deliver a smoother customer experience. The gap between AI-powered companies and old school operators is widening so fast."

One caveat of the study is that it focused on large language models (LLMs), which tend to slant toward communications-focused tasks. Other AI models could impact roofing, especially if they’re applied to robots that can install roofing systems, like the ones developed by Renovate Robotics.

“Residential roofing is a $60 billion industry with a broken labor system that can be addressed with robots. We are on a mission to reduce accidents and fatalities, protect homes and businesses from severe weather and accelerate solar deployment,” said Andy Stulc, Renovate Robotics’ CEO, in a written statement.

Roofing distributors may also see automation hitting their branches and warehouses. Companies like Combilift have developed automated forklifts that can store and retrieve basic materials.

KEYWORDS: AI (artificial intelligence) business management drones in roofing forklift labor shortage Renovate Robotics robotics workforce

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Chrisgray

Chris Gray is the editor of Roofing Contractor and Roofing Supply Pro. He has worked in the fields of journalism and copywriting for nearly 20 years, ranging from local print newspapers to the multi-media promotion of international artists.

Reach him at 248-244-6498 or grayc@bnpmedia.com.

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