Analysis. ServiceTitan (Nasdaq: TTAN) published its 2026 Commercial State of the Trades report on 24 September. The headline the company put on it is that commercial contractors are “prioritizing profitability and adopting AI.” The more interesting reading is in what two of its findings say when they are set side by side.
First, the methodology, because it governs how far any of this travels. The survey was conducted for ServiceTitan by Thrive Analytics, an independent research firm, and polled 1,020 commercial owners, executives and general managers, primarily in mechanical, electrical and plumbing, who primarily perform work on commercial buildings. It was fielded online between 10 and 28 July 2026 — so the numbers below are a July picture published in late September, a two-month lag that matters in a year where the AI tooling itself is moving monthly. ServiceTitan’s own note states it “provides no assurances (express or implied) with respect to the accuracy of the survey data.” This is vendor-commissioned research about a market that vendor sells into, and it should be read as that: useful, directional, not neutral.
With that said, the numbers are specific enough to argue with, which is more than most industry surveys offer.
The Two Numbers
Sixty-two percent of commercial service firms have piloted or deployed AI, per the report. Thirty-three percent are, in its words, “actively using it or have embedded it across their businesses.” Separately, and as a different measure, AI rose from 15% in 2025 to 33% in 2026 as a top technology priority — more than a doubling in a single year.
Then: among contractors using AI, 59% report a positive impact, but just 15% report a significant positive impact with clear ROI.
Put side by side, those two findings describe a fairly precise state of affairs. The trial question is settled — a clear majority of these firms have at least piloted it. The evidence question is not. Roughly six in ten users say it helped. Roughly one in seven can point at a number.
It would be easy, and wrong, to read the 15% as a verdict on the technology. A survey of owners and general managers is measuring what they can demonstrate, not what is true, and the gap between those is where most of this sits. Proving ROI on a dispatch tool requires a baseline that many contractors of this size will not have had, because the before-state was never instrumented. The honest summary is that the sector has moved from “should we try this” to “can we show it worked,” and has not yet answered the second question at scale.
The Comparison That Does Not Work, and Why
This newsroom published an analysis in July of two credible datasets pointing in opposite directions on AI adoption in construction: a McKinsey study concluding AI could automate 39% of nonphysical work in construction, against a global DEWALT survey in which 9% of construction professionals used AI day to day.
Set that 9% beside this 62% and the temptation is to declare one of them wrong. They are not comparable, and the reasons are worth stating plainly. The DEWALT figure counted individual professionals across six countries using AI in their own daily work. ServiceTitan’s counts firms — surveyed at owner, executive and GM level — that have piloted or deployed it anywhere in the business. One measures a person’s Tuesday; the other measures a company’s procurement. A single pilot in one department registers as a yes in the second and as a no for almost everyone in the first.
What survives the comparison is narrower but more useful. The 33% “actively using or embedded” figure is the closest analogue to daily use, and it is still well above 9% — but it is a different population, commercial MEP rather than construction generally, and reported by executives rather than by the people doing the work. Directionally, the specialty-trade back office looks further along than the industry-wide numbers suggest. That is a hypothesis this report supports, not a fact it establishes.
The Cash-Flow Numbers Are the Real Story
The AI findings will get the headline. The finance findings explain the appetite.
Forty percent of contractors now rank improving cash flow among their top three business goals, up from 28% in 2025 — which the report identifies as the largest year-over-year shift among contractors’ reported business goals. Increasing net profit margins ranks first at 42%; acquiring new customers trails both at 29%. A sector that puts margin and cash ahead of growth is a sector managing a squeeze.
And the squeeze is legible in the payment cycle. Eighty-two percent of these contractors send invoices within three days of completing work. Ninety-six percent wait at least 15 days to be paid, and 30% wait more than 30 days. The contractor’s own process is fast; the money is slow anyway. That asymmetry is the structural fact of subcontracting, and it is not something invoicing software can close on its own, because the delay sits on the payer’s side of the transaction.
Two more pressures are quantified. Seventy-three percent say tariffs have materially impacted their business over the past year. And 46% now have more than half their commercial customers on service or maintenance agreements, up from 42% in 2025 — recurring revenue as a hedge against project volatility.
Alex Kablanian, ServiceTitan’s senior vice president and general manager of commercial and construction, frames the connection in the release: “Contractors are looking closely at how they can improve cash flow, strengthen recurring revenue, and make their teams more productive. Technology, including AI, has an important role to play in helping contractors operate more efficiently and turn the information they already have into better outcomes for their businesses and customers.”
Where Contractors Expect It to Land
Asked where AI will have the greatest impact, respondents named scheduling and dispatch (37%) and predictive maintenance (31%), with the report citing further opportunity in estimating, remote diagnostics and customer inquiries.
That ordering is worth noticing, because it is not the ordering this newsroom’s own 2026 coverage would predict. The construction-AI rounds we have written up this year have clustered around preconstruction, drawing review, estimating and progress tracking. These contractors put dispatch and maintenance first — the operational middle of a service business, where the asset is a technician’s day rather than a document.
One field finding underlines the same point: 69% cite warranty coverage and agreement details as a top obstacle for technicians, alongside having the correct spare parts and access to equipment service histories. That is an information-routing problem, not a reasoning problem. It describes a technician standing in a mechanical room who cannot find out whether the part is covered.
Analysis. If the biggest self-reported constraint is getting known information to the person in the field, then the AI that pays for itself in this segment first is probably unglamorous retrieval rather than generation — and that is consistent with the ROI picture above, where a majority feel a benefit and a small minority can price it. Retrieval saves a phone call at a time; it does not produce a line on a P&L. The firms that get to the 15% are likely to be the ones that were already measuring the thing they automated. Everyone else is going to keep reporting “positive impact” and struggling to say how much, not because nothing happened, but because nobody counted before.
Sources
- ServiceTitan’s announcement of the 2026 Commercial State of the Trades report, GlobeNewswire, 24 September 2026. All survey figures in this article are drawn from that announcement.
- ServiceTitan
- Thrive Analytics, the firm that fielded the survey
