Is the restoration industry behind on AI adoption compared to other trades?

The restoration industry is not behind on AI sentiment, but it is behind on operational deployment. At 84% open to or embracing AI, the industry's attitude toward the technology is more favorable than many comparable trades. The deployment gap, where most companies are still using AI primarily for writing tasks rather than embedding it in estimating, documentation, or workflow operations, is consistent with what other field service industries show at this stage of adoption. The difference in restoration is that the stakes of closing that gap are higher, because the workflows where AI produces the most value are also the workflows most directly tied to how fast and how fully a company gets paid.

What is the difference between using AI as a productivity tool and using it as operational infrastructure?

A productivity tool reduces the time it takes to do a task you were already doing. AI as a writing assistant is a productivity tool. It makes emails faster. Operational infrastructure changes the structure of how work moves through the business. AI embedded in a scope development workflow is not just making the estimator faster at a task they were already doing. It is changing what the estimator has to do before they can apply their judgment, collapsing the retrieval and formatting work that precedes the decision rather than speeding up the decision itself. Productivity tools produce marginal gains. Operational infrastructure produces compounding ones.

Where should a restoration company start if they want to move beyond AI for email?

Start with the workflow that costs the most time or margin every week, not the one that seems most technically straightforward to automate. For most restoration companies in the $2M to $10M range, that workflow lives in estimating and documentation: the gap between field assessment and a complete, carrier-ready scope. Map what that workflow actually looks like today, where information gets lost or delayed, where the estimator is doing work that does not require their judgment, and where scope errors most commonly originate. That diagnostic work is what makes AI tool selection productive rather than speculative. Without it, any tool you add will get used for the obvious task and ignored for everything else.

What does the 2026 State of the Industry report say about AI in restoration?

The 2026 C&R/KnowHow State of the Industry report found that 84% of restoration companies are open to or fully embracing AI, up from roughly 70% three years ago. Despite that sentiment, email writing remains the dominant use case for the third consecutive year. The report identifies a widening gap between companies using AI as a writing tool and companies building real operational infrastructure, and describes that gap as competitive. It found that 36% of restorers most want to improve estimating and job site documentation with AI, while simultaneously concluding that deployment in that department has barely moved. The report's recommendation: pick one operational problem that costs time or money every week and spend 90 days trying to solve it with AI rather than continuing to treat the technology as a writing assistant.

84% of Restoration Companies Are Open to AI. Most Are Still Writing Emails.

84% of restoration companies say they're open to AI. Email writing is still the dominant use case for the third year running. Here is what separates the companies that walked through the door from the ones still standing in the entryway.