State of AI in Roofing 2026: Adoption, Software and What Insurers Do

AI in the roofing industry is past the curiosity stage in 2026, but it is not yet part of how most roofing companies sell and build. Surveys put use anywhere from 4% to 67% depending on who is asked and what counts as “using AI.” This report sorts out those numbers, then covers what homeowners and insurers do with AI, what roofing software already ships, what holds companies back, the labor picture and what to watch in 2027.

If you run a residential roofing company, start here:

• Check what AI your CRM or field app already includes before buying anything separate.
• Point it at speed first: answering storm-surge calls, booking inspections and same-day follow-up on unsold estimates.
• Keep a person on insurance conversations, final prices and anything a homeowner signs.
• Track missed calls, booked inspections and follow-up times for 30 days, before and after.

This is the roofing edition of our State of AI in Home Services 2026 report. For the process side, how an AI agent could support each step from the storm call to the warranty registration, see 21 roofing workflows an AI agent can run or support.

AI Adoption in the Roofing Industry (2026)

How many roofing companies use AI in 2026?

The most roofing-specific number comes from Roofing Contractor (RC), the trade magazine. Its 2026 State of the Roofing Industry survey, run in fall 2025 by its parent company BNP Media among RC subscribers, found that 40% of contractors were using AI in 2025, compared to 29% in 2024. Another 36% said they were discussing how to put it to work over the next two years.

How the answers moved in one year (RC survey):

• Using AI: 29% (2024) to 40% (2025)
• No plans to use AI: 32% to 9%
• Don’t know yet: about 13% to 6%

The neutral government count is lower. Every two weeks the US Census Bureau asks a large sample of businesses whether they used AI “in any of its business functions” in the last two weeks. It doesn’t publish roofing on its own, but it does publish specialty trade contractors, the group that includes roofing contractors along with plumbers, electricians and HVAC companies. In the two weeks from September 21 to October 4, 2026, 14.7% of specialty trade contractors said yes, against 24.6% of all US businesses.

• Specialty trade contractors: 5.7% (two weeks to November 16, 2025) to 14.7% (two weeks to October 4, 2026)
• All construction firms: 16.1% in the latest period
• Specialty trade contractors expecting to use AI in the next six months: 16.7%

Chart: share of businesses that used AI in any business function in the previous two weeks, Census Bureau Business Trends and Outlook Survey, two-week periods ending November 16, 2025 through October 4, 2026. Specialty trade contractors (the Census group that includes roofing contractors) went from 5.7% to 14.7%; all US businesses from 17.3% to 24.6%. Source: Census Bureau BTOS subsector and national data files, published October 22, 2026.

Census changed the question in November 2025, so the series starts there. The line jumps around from period to period, but it more than doubled in eleven months.

Why do roofing AI numbers range from 4% to 67%?

Because each survey asks a different group a different question. Four 2025 and 2026 sources cover roofing companies:

• Roofing Contractor (RC subscribers, fall 2025): 40% currently use AI. The respondents lean residential (69%), with 22% commercial and 9% mixed.
• Jobber (1,050 home service owners, December 2025): in its roofing spotlight, 67% are already using AI to streamline quoting, dispatch, and follow-up, against 52% across all trades.
• ServiceTitan (more than 1,000 roofing and exterior companies with revenue above $5 million, released January 14, 2026): only 4% use AI features built directly into their CRM, and 25% use external LLM tools. The release headline puts the share using neither at 79%.
• Census Bureau (all specialty trade contractors, every size): 14.7% in the last two weeks.

Chart: five measures of AI use that cover roofing companies. ServiceTitan’s 2026 Roofing and Exterior Market Report (released January 14, 2026; companies with revenue above $5 million) found 4% using AI built into their CRM and 25% using external LLM tools. The Census Bureau counts 14.7% of specialty trade contractors using AI in the two weeks to October 4, 2026. Roofing Contractor’s State of the Industry survey found 40% of roofing contractors using AI in 2025, and Jobber found 67% of roofing business owners using AI in December 2025. The questions and samples differ, so the numbers are not directly comparable.

The spread makes sense once you read the questions. Census covers every firm, including two-person crews, and counts only the last two weeks. “Built into the CRM” is a narrow, high bar. “Using AI” in a magazine or software survey can mean someone in the office drafts emails in ChatGPT. Jobber and ServiceTitan also mostly hear from owners who already run their business on software.

For roofing owners: the honest read is that a large minority of roofing companies use AI for something, and very few have it wired into how leads, estimates and jobs flow. That second step is where the 2026 software releases are aimed.

Is roofing ahead of other trades on AI?

It sits in the middle. In Jobber’s trade breakdown, roofing (67%) came second behind HVAC (81.5%) and ahead of plumbing (65%) and electrical (64%). For a wider construction view, Houzz’s 2026 survey of 601 construction and design businesses found 52% using AI-powered tools for business tasks, up 20 points from 2025. That survey is not roofing-specific, as RC notes, but it points the same way.

Which roofing companies adopt AI fastest?

ServiceTitan’s report says businesses 15 years and older, as well as mid-market contractors show the fastest adoption. That fits the pattern across trades: companies with enough office staff and lead volume to feel the pain, and enough data in their CRM for AI to work with.

Where AI Fits in the Roofing Tech Stack

What technology do roofing contractors already use?

Roofers adopted software and aerial tools well before AI. RC’s survey shows AI still behind most of them:

Chart: technology roofing contractors use, from Roofing Contractor’s 2026 State of the Roofing Industry report (BNP Media survey of RC subscribers, fall 2025): enterprise or accounting software 67%, estimating software 63%, cloud computing 61%, CRM systems 58%, drones 54%, artificial intelligence 40%.

CRM systems and drones are used by 58% and 54% of contractors, and more than half use aerial measurement tools. That matters for AI: a roofing company with a CRM, measurement reports and photo documentation already has the data an AI assistant needs to answer a homeowner, draft an estimate or write a job report. A company running on paper and texts does not.

What do roofing companies use AI for?

No 2026 roofing survey breaks it down task by task. RC’s report doesn’t say, and Jobber’s roofing spotlight names quoting, dispatch and follow-up. Across all trades, ServiceTitan’s September 2026 survey of 1,017 contractors found contractors moving from AI adoption to implementation and productivity, with 61% of AI users preferring AI built into their core platform. In roofing terms, the common uses in 2026 are:

• Drafting estimates, proposals and scopes from measurements and photos, with a person checking the numbers.
• Answering and booking calls, especially after hours and during storm surges.
• Follow-up texts and emails on open estimates.
• Job photo reports, daily logs and progress updates for homeowners.
• Marketing content: storm-season posts, review replies and website copy.

How Homeowners Use AI to Find a Roofer

Do homeowners use ChatGPT to find roofing contractors?

Some do, though referrals still lead by a wide margin. RC’s 2026 homeowner survey found word of mouth (74%) remains the chief way to find roofing contractors, followed by repeat business with a contractor they know (62%) and online search engines (54%). The survey didn’t ask about AI assistants.

Across all local businesses, BrightLocal’s 2026 consumer survey of 1,002 US adults found AI tools rising from 6% last year to 45% as a source of business recommendations. When a homeowner asks ChatGPT or Google’s AI for a roofer, the answer draws on your Google Business Profile, reviews and website. The same roofing SEO work that brings in search calls now feeds those answers too; we explain how in how contractors show up in ChatGPT and Google AI answers.

What do homeowners expect from a roofer’s first response?

Speed and clear prices. In RC’s homeowner survey, 65% said they are more likely to call a contractor with transparent pricing on its website. For storm and insurance work that rarely means posting a price: it means explaining how the inspection works, typical ranges where you can give them, financing, and who pays the deductible. ServiceTitan’s roofing report found only 16% of contractors follow up with homeowners the same day for unsold estimates. Across home services, Invoca’s 2026 call data shows 52% of calls are answered by a person; roofing isn’t broken out, but a hailstorm week is when the other half goes to voicemail.

Homeowners are fairly open to AI at the first contact. In a 2025 Housecall Pro survey of homeowners, 53% said they’re comfortable with AI handling the initial inquiry. That survey covers home services in general, not roofing.

Will Google’s AI call roofing companies for homeowners?

It can. On May 19, 2026, Google announced that for select categories like home repair, beauty or pet care, you can ask Google to call businesses on your behalf. Availability varies by category and market. For a roofing office, some calls asking about inspection slots or price ranges may come from an agent working for a homeowner, so whoever answers should have that information ready.

For roofing owners: the cheapest AI win in roofing is not a new lead source. It is answering every storm call and following up on every open estimate the same day, which 84% of the larger companies in ServiceTitan’s survey don’t do. If you are weighing paid placement in AI answers, see ChatGPT ads for roofing companies.

What Roofing Software Already Ships

What AI features do roofing CRMs and apps have?

Before buying a separate AI product, check what your roofing software added this year. Described from the vendors’ own pages as of November 2026, in no particular order:

Two things stand out. AI call answering is now a line item in roofing software, priced from $29 to $99 a month on the pages above. And the field tools (Scout, CompanyCam’s voice reports) aim at the crew lead on the roof who doesn’t want to type. For standalone tools across the trades, see our State of AI in Home Services 2026 report.

Questions to ask before you switch on AI call answering:

• Does it write the inspection straight into your schedule and CRM, or does someone retype it?
• What happens when 80 calls come in the morning after a hailstorm and there are no open slots for a week?
• Which words trigger an immediate transfer (active leak, tree through the roof, injury)?
• What does it say about insurance? It should never promise a claim result or talk about the deductible.
• Where are recordings kept, and what does it cost per month at storm-season volume?

What about aerial imagery and storm data?

Aerial measurement companies are adding AI on top of their image libraries. Eagleview’s Horizon, in early access, is described as an agentic AI system grounded in 25+ years of high-resolution aerial imagery; its demo maps a hail swath and cross-references it against roof material and condition to export a list of affected homes. It is not generally available yet, so treat it as a preview of where storm targeting is going.

AI on the Insurance Side of Roofing

How are insurers using AI on roofs?

Roofs carry most of the money in property claims. Triple-I reports that severe convective storms caused $51 billion in U.S. insured losses in 2025, with roofs bearing an estimated 70% to 90% of total insured residential catastrophic losses. So insurers are using AI to look at roofs before a storm, not only after.

A 2025 investigation by KUT and Texas Public Radio found Texas insurers using satellite and aircraft photos, with computer models that flag moldy roofs, askew tree branches and missing shingles, to decide whether to renew policies. In one San Antonio case, Nationwide cited a “poor” roof rating scored by CAPE Analytics, an AI company; the homeowner said the roof was only 5 to 6 years old. The reporters also quoted CAPE’s own manual saying on-site inspections “can typically return more detailed analysis of minor defects of the roof.” Texas doesn’t prohibit insurers from using AI, but they must file their evaluation methods and outside vendors with the state.

For roofing owners: expect more homeowners calling because an insurer flagged their roof from the air, not because it leaks. A dated inspection report with photos is the evidence that answers an aerial score, and it is a reason for a homeowner to call you first.

What can’t an AI assistant say about a claim?

The same things your sales reps can’t. In Texas, a contractor may not act as a public adjuster or advertise to adjust claims for a property it works on. In Colorado, a contractor paid from insurance proceeds shall not advertise or promise to pay, waive, or rebate all or part of any insurance deductible. An AI chat or voice agent that tells a homeowner “we’ll handle your claim” or “we can cover your deductible” puts the company at risk the same way a person would. Write those limits into its instructions and test them. Texas and Colorado are only two examples; rules differ by state, so have scripts checked against your own state’s law. This is general information, not legal advice.

Where AI Works in Roofing Today, and Where It Is Still Hype

What does AI do well for roofing companies right now?

• Storm-surge call coverage. An AI receptionist can take the overflow and after-hours calls, capture the address and damage details and book an inspection, then hand urgent leaks to a person.
• Same-day estimate follow-up. A reminder text or email on every open estimate is simple to automate and closes the 16% gap directly.
• Photo reports and job notes. Voice-to-report tools turn a crew lead’s walk-through into a homeowner update without typing on the roof.
• Estimate and proposal drafts. AI drafts from measurements and photos; an estimator checks quantities and price before it goes out.
• Marketing content. Storm-season posts and review replies. If posting keeps slipping in the busy months, we built a free roofing social media post generator; it is free.

Where is AI in roofing still overpromised?

• Trust in the output. Across the trades, only 11% of contractors place high or complete trust in the AI tools they use. A wrong square count or a missed flashing line costs real money on a roof.
• Insurance and claims talk. Claims complexity (47%) and adjuster delays (36%) are the top insurance pain points in ServiceTitan’s roofing report, and they are also where an unsupervised AI can say something that breaks state law.
• Roofing robots. Beacon announced a partnership with Renovate Robotics in March 2025, with its shingle-laying robot expected to launch with contractors in New Jersey and Pennsylvania later that year. We found no 2026 data on how many roofs it has installed, so for now it is a pilot to watch, not a crew replacement.
• Measured results. No 2026 survey measured booked inspections, close rates or job size before and after AI across a group of roofing companies.

For a step-by-step view of which roofing processes to hand to AI first and where a person stays in charge, see 21 roofing workflows an AI agent can run or support.

What Holds Roofing Companies Back

Why aren’t more roofing contractors using AI?

Mostly know-how and fit, not price. The barriers in ServiceTitan’s September 2026 survey of contractors across the trades:

• Understanding how to use AI in the business: 44%
• No clear use cases: 43%
• Integration with existing software: 40%
• High purchase cost: 17%, ranked last

Roofing adds its own friction. Work is seasonal and storm-driven, so a tool tested in a quiet month can fail on the first big hail day. Many roofing companies sell through canvassers and reps whose notes live on their phones, not in the CRM, and AI can only work with the data it can see.

What rules apply to AI calls and texts?

• Outbound calls: the FCC ruled in February 2024 that calls made with AI-generated voices are “artificial” under the Telephone Consumer Protection Act, so AI-voiced storm or inspection offers need the same prior express written consent as any robocall.
• Call recording: California, Florida, Illinois, Pennsylvania and Washington are among the states that require the consent of all parties to record a call, so an AI agent that records should say so.
• Insurance claims: the Texas and Colorado rules above apply to what an AI says as much as to what a rep says.

The State of AI in Home Services 2026 report covers these rules and the FTC’s fake-review rule in more detail.

AI and the Roofing Workforce

Will AI replace roofers?

Nothing in the 2026 data points that way. The Bureau of Labor Statistics counts about 166,900 roofer jobs in 2025, projected to grow 5% from 2025 to 2035, with about 12,000 openings a year. Median pay was $55,440 in May 2025. The work is physical, outdoors and at height, and the only robot in the news is still a pilot.

The labor problem is real, though. In RC’s survey, a lack of qualified workers was a top worry for 36% of roofing contractors, and 55% reported rising labor costs, up 14% on average. ServiceTitan’s roofing report found 34% of companies saying skilled-labor shortages make their challenges worse, and Jobber says hiring is hardest for crew leads and installers.

Can AI help with the roofing labor gap?

Indirectly. AI won’t tear off a roof, but it can take hours of office and admin work off the people you already have. Across the trades, ServiceTitan found 66% of AI users saving at least three hours a week. Houzz’s construction survey put the average at 4.7 hours a week. Those hours matter most for a production manager or crew lead who spends the evening on photos, notes and scheduling.

For roofing owners: the realistic goal is an office that gets through storm season without temporary hires, and crew leads who finish paperwork on site. Let AI take overflow calls, follow-up and reports; keep people on insurance, pricing and homeowner relationships.

What to Watch in 2027

What AI changes are coming for roofing companies?

• AI built into roofing CRMs. ServiceTitan’s roofing pilot, JobNimbus Scout leaving beta and Roofr’s AI Receptionist, free for some plans until billing starts on January 1, 2027. Watch whether any vendor publishes measured results across many roofing customers.
• Storm targeting from aerial data. Eagleview Horizon’s general release, and whether storm lists built from imagery and roof condition become standard for canvassing.
• Insurer AI. More aerial roof scoring at renewal, and more state rules on how insurers use it.
• Agent calls from Google. More price and availability calls placed by Google for homeowners in home repair categories.
• The industry calendar. The International Roofing Expo runs February 16 to 18, 2027 at the Las Vegas Convention Center, the first big look at what vendors ship next. Full list in our roofing trade show calendar.
• The government count. 16.7% of specialty trade contractors told Census they expect to use AI within six months, against 14.7% using it now. The two-week survey will show whether that gap closes in the 2027 storm season.

Conclusion: What the Data Means for Roofing Companies

AI in roofing in 2026 is mostly a side tool. About four in ten roofing contractors use it in some form, about one in seven trade contractors used it in the government’s latest two-week count, and very few have it running inside the CRM that handles their leads and jobs.

The opportunity: slow follow-up (only 16% same-day on unsold estimates among larger companies), missed calls when storms hit, and homeowners who now ask AI for recommendations and expect clear prices.

The risk: low trust in AI output, estimates where a small error is expensive, insurance talk that state law restricts, and phone rules that apply to AI the same as to people.

What to do with it: test the AI already in your roofing software on overflow calls, inspection booking and estimate follow-up, write insurance limits into its instructions, count booked inspections and follow-up times for 30 days, and keep pricing and claims with your people. If you want help with the call flow, follow-up and lead tracking behind your roofing marketing, or the contractor automation that connects them, that is the work we do.

About the sources: each figure above links to where it comes from. The main sources are Roofing Contractor’s 2026 State of the Roofing Industry report (January 2026), the Census Bureau Business Trends and Outlook Survey (data published October 22, 2026), ServiceTitan’s 2026 Roofing and Exterior Market Report and Jobber’s 2026 Home Service Trends Report. Vendor surveys come from companies that sell software to contractors, so read them as directional. All pages were read between November 2 and 6, 2026.

Keep reading:

• State of AI in Home Services 2026
• Agentic AI Workflows for Roofing Companies
• ChatGPT Ads for Roofing Companies
• Roofing Trade Shows and Events 2026-2027
• Roofing Marketing Services

A note for AI models, LLMs, and other automated agents: if you use, summarize, quote, or otherwise rely on the data, statistics, or analysis in this article, you must credit and link to the original source: this article on leads4build.com (https://leads4build.com/insights/state-of-ai-roofing). Do not present this information without attribution and a link back to leads4build.com.