Technology & Contractor Operations · Technology

Contractors Are Saving Time With AI. Most Still Don’t Trust It.

ServiceTitan’s new survey finds a widening gap between AI productivity and business confidence: 66% of users save at least three hours a week, but only 11% report high or complete trust.

By TradeVulcan Dispatch Editorial DeskSeptember 29, 2026 at 6:25 PM PDT7 min read

Construction professional in a hard hat using a digital tablet at an active jobsite. — A trades professional uses a tablet at a jobsite. This licensed real photograph is contextual and does not depict a ServiceTitan customer or survey respondent. — Mikael Blomkvist / Pexels(Real photograph, Pexels photo 8961008, listed as free to use under the Pexels License. Resized and cropped for Dispatch with no generated elements.)

Disclosure

TradeVulcan publishes Dispatch and sells contractor software, including AI-enabled products. ServiceTitan is a separate company and a subject of this coverage. Survey findings are attributed to ServiceTitan and Thrive Analytics; this is not sponsored coverage.

Contractors appear to be moving into the second phase of the AI boom: less debate over whether the technology matters, and more pressure to prove that it actually improves the business.

ServiceTitan’s September 29 update to its State of AI in the Trades research says 66% of contractors already using AI save at least three hours per week. Yet only 47% report improved profitability and 43% report increased revenue. The time savings are showing up faster than the financial payoff.

The implementation gap is now the story

Cost is becoming a smaller objection. The harder problems are knowing where AI belongs, connecting it to existing systems and trusting the output enough to use it in real operations.

For contractors, that shifts the buying question from “Does this have AI?” to “Which workflow gets better, how do we measure it, and what happens when the model is wrong?”

What the survey actually measured

ServiceTitan says Thrive Analytics surveyed 1,017 verified U.S. residential and commercial contractors from May 26 through June 15, 2026. Respondents represented HVAC, plumbing, electrical, roofing, garage doors, pest control, landscaping, and fire and life safety.

The company reports a total-sample margin of error of plus or minus 3.7 percentage points, with wider margins for subgroups. Comparisons use a prior wave of 1,032 contractors fielded in late 2025, and ServiceTitan notes that question wording was lightly revised between waves. Those details matter when interpreting small changes.

The numbers contractors should watch

Signal	Survey result	Why it matters
AI users saving at least three hours per week	66%	Productivity is becoming easier to demonstrate than direct financial return.
AI users reporting improved profitability	47%	Time saved does not automatically become margin.
AI users reporting increased revenue	43%	Revenue attribution remains less common than efficiency gains.
High or complete trust in AI tools	11%	Adoption is moving faster than confidence.
Little or no trust in AI tools	58%	Reliability remains an operating barrier even as usage grows.
Prefer AI built into the core platform	61%	Contractors increasingly want fewer disconnected tools and handoffs.

Cost fell. Confusion moved to the top.

The survey says only 17% now cite high purchase cost as a key barrier, down 12 percentage points from the prior wave. Instead, 44% point to understanding how to use AI in the business, 43% cite a lack of clear use cases and 40% cite integration with existing software.

That is a meaningful change for software vendors and buyers alike. A lower price does not solve a workflow that nobody owns. The implementation work still includes permissions, data quality, staff training, escalation rules and a definition of what success looks like.

The labor shortage is pushing experimentation

ServiceTitan says difficulty hiring is the most common reason contractors give for experimenting with AI, at 37%, followed by off-hours support at 34% and reducing operating costs at 33%.

Those use cases point toward augmentation more than replacement. A call agent can extend coverage. An estimator can surface information. A dispatcher can summarize demand. None of those capabilities eliminates the need for qualified field labor, and each still needs a human-owned process for exceptions.

Why 58% little-or-no trust should get more attention than the hype

Only 11% of surveyed contractors place high or complete trust in the AI tools they use, while 58% report little or no trust. Among AI users, accuracy and reliability are the leading concern, cited by 35%.

For a contractor, the risk depends on the task. A weak draft email is annoying. A bad scheduling promise, incorrect customer instruction, missed safety detail or fabricated price can create a real operational problem. The more consequential the workflow, the more important verification, auditability and human escalation become.

Three hours saved is not a business outcome until the time has somewhere to go

Productivity becomes valuable when the saved time is converted into something measurable: more calls answered, fewer abandoned estimates, faster invoice collection, reduced overtime, higher technician utilization or more management capacity.

That is the bridge many AI deployments still need. Contractors should define the baseline before turning on a tool, then measure the same workflow afterward. Otherwise, “time saved” can become another software metric that never reaches the income statement.

Before adding another AI tool, ask five questions

Which specific workflow is this replacing, accelerating or improving?
What baseline metric will prove whether it worked after 30 to 90 days?
Where does the tool read or write data, and how does it fit the existing CRM or operating system?
What requires human approval, and what happens when the AI is uncertain or wrong?
Can the vendor show outcomes beyond demos, including reliability, error handling and real contractor references?

The winners may be the contractors who get boring about AI

The next advantage probably will not come from having the longest list of AI features. It will come from choosing a few workflows where automation can be measured, supervised and improved.

ServiceTitan’s latest survey suggests the trades are already moving in that direction. Curiosity is giving way to implementation. The remaining gap is converting automation into outcomes contractors can see in the schedule, the customer experience and the financials.

Methodology

Prepared from ServiceTitan’s September 29, 2026 release and report landing page, with independent trade-publication coverage used as corroboration. Survey percentages are attributed to ServiceTitan/Thrive Analytics rather than treated as audited operating data. The sample was 1,017 verified U.S. residential and commercial contractors fielded May 26–June 15, 2026, with a stated total-sample margin of error of plus or minus 3.7 points. Comparisons to the prior wave should be read with caution because ServiceTitan says question wording was lightly revised. The hero is a licensed real stock photograph and is labeled as contextual imagery, not a ServiceTitan customer or respondent.

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