ServiceTitan dropped its second annual State of AI in the Trades Report this week, based on a survey of 1,017 U.S. residential and commercial contractors across HVAC, plumbing, electrical, roofing, landscaping, pest control, and a handful of other trades. The headline number: active AI engagement climbed from 46% in December 2025 to 52% by September 2026. More than half. Not tech companies. Contractors.
I spent two decades running an auction company. When I saw more than half the room bidding on something, I knew the item had already repriced. The people still standing against the wall waiting to see what it "really" sold for were going to pay more. That's what this number means for the trades right now.
What the report actually found
The survey was conducted by Thrive Analytics on behalf of ServiceTitan, and the sample is legitimate: 1,017 verified U.S. contractors, residential and commercial. Here's what they found among active AI users:
- 64% report productivity gains
- 55% report faster decision-making
- 66% say AI saves them at least 3 hours per week
- 40% report saving 5 or more hours per week
And the top reasons contractors are experimenting with AI at all? Hiring challenges, cited by 37%. Off-hours customer support at 34%. Reducing operating costs at 33. Nobody in this survey said they adopted AI because a consultant told them to. They did it because they couldn't find enough people and the phone still rang at 9 p.m.
The trust picture, though, is worth noting honestly. Only 11% of contractors report high or complete trust in the AI tools they're using, while 58% report little or no trust. That gap between "I use it" and "I fully trust it" is real, and I'll come back to it.
The capacity gap: what this number actually means
Here's the frame I'd put on this. Three hours a week per person is 150 hours a year. For a crew of four, that's 600 hours of recovered capacity. At a fully-loaded labor cost of, say, $40 an hour, that's $24,000 a year. Not in new revenue, necessarily, but in capacity that used to just evaporate into scheduling chaos, missed callbacks, and manual data entry nobody wanted to do.
The contractors driving this adoption aren't doing it with some exotic AI research lab. The report is clear: 61% of current AI users prefer AI and automation built directly into their core business platform. They want it in the software they already use, not bolted on from outside. That preference matters because it tells you what works in the trades: embedded, not experimental.
I'd call this the capacity gap test. Before you evaluate any AI tool, ask two questions: Does this recover time my team is currently losing to something repetitive? And does it live inside the platform my team already opens every morning? If the answer to both is yes, the math is usually easy. If the answer to either is no, you're buying a science project.
What shifted since last year
The most interesting data point to me is what fell. In the previous survey, high purchase cost was the leading barrier to AI adoption. By September 2026, it dropped 12 percentage points and landed last on the list. Last. Cost is no longer the blocker.
What replaced it? Implementation questions. Forty-four percent say they don't know how to use AI in their business. Forty-three percent say there's no clear use case. Forty percent cite integration with existing software. The problem shifted from "can we afford it" to "can we figure it out." That's actually progress, even if it doesn't feel like it when you're the one staring at a new tool wondering where to start.
The report also notes that 38% of contractors said AI trained on trade-specific data would encourage them to use the technology more. Generic AI gives generic results. A tool that understands dispatch logic, seasonal demand curves, and the difference between a warranty call and a new installation is a different thing entirely.
Under the hood
For the technically curious reader: what contractors are actually using here is mostly workflow automation and conversational AI, not generative models in the way the consumer press covers them. Think automated scheduling confirmations, AI-assisted dispatch, after-hours chat or voice response, and job-note summarization. ServiceTitan itself has been building AI features into its platform, which explains why 61% of users prefer the embedded approach. When AI is a feature inside software you already pay for and your team already knows, the adoption friction drops to nearly zero. That's the real infrastructure shift. The tools got cheaper and they got closer to where the work already happens.
The trust gap (11% high trust, 58% little or no trust) is consistent with what I see working with service businesses. People use the tool, it mostly works, but one bad output sticks. That's a training and workflow design problem more than a technology problem. The contractors who are getting 5-plus hours back per week are the ones who built a clear process around the AI output, not the ones who turned it on and hoped.
What this means for your business
If you run an HVAC company, a plumbing shop, a roofing outfit, or any home service business, you are now in the majority if you're using AI and in the minority if you're not. That math inverted in the last nine months.
The practical entry points the data points to: after-hours support and hiring pressure. Those are the two places where contractors said AI moved them to act. If your phones go unanswered after 6 p.m. and you're losing jobs to competitors who pick up, that is a solvable problem today. An AI receptionist that handles booking, answers common questions, and routes urgent calls doesn't require a six-month implementation. It requires a few days of setup and a clear script.
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The hiring angle is subtler but real. If you can recover 3 to 5 hours a week per person on administrative work, you effectively expand your team's capacity without adding headcount. In a labor market where good technicians are still hard to find and keep, that's not a small thing.
I'd also point you to what we covered in the dental AI adoption piece from earlier this year. Different industry, same adoption curve: the gap between the businesses getting efficiency gains and the ones still watching from the sideline is becoming a competitive moat, not a temporary lead. The trades are now following the same pattern.
What to do this week
Run the capacity gap test on your own operation. Pick one thing your office staff or your technicians do every day that is repetitive, time-consuming, and doesn't require a licensed professional judgment call. Scheduling confirmations. After-hours intake. Job note entry. That's your starting point, not a moonshot.
If you're already on ServiceTitan or a similar platform, check what AI features are already inside your subscription. Given that 61% of contractors want AI embedded in their existing software, there's a real chance you're sitting on features you haven't turned on yet.
And if you haven't mapped your own after-hours call volume in the last 90 days, do that first. You cannot fix a leak you haven't found.
Skip it if
You run a solo operation with no office staff and you're already booked three weeks out. If your constraint is labor in the field and not administrative capacity or lead intake, this particular set of tools won't move the needle for you yet. Watch the trade-specific AI story ServiceTitan and others are building, but you can sit this quarter out.
Abhishek Mathur, ServiceTitan's Chief Technology and Product Officer, said in the report: "Over the next few years, the businesses that pull ahead will be the ones that weave AI into the fabric of their operations. Every job, every customer interaction, every dispatch decision becomes a learning moment that will improve future performance while increasing efficiency of operations."
He's not wrong. But I'd put it a different way for the contractor standing in a supply house parking lot reading this on their phone: when 52% of your competitors are already running a tool that saves three hours a week, "waiting for proof" is the proof that you're behind.
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