AI Is Making Construction More Efficient. Building Owners Aren't Seeing the Savings.

Written by:

Steve Marcinuk

Date:

05 Aug 2026

Share

Share via Facebook

Share via Linkedin

Share via X

Copy to clipboard

Construction technology has attracted billions in venture capital on the promise that software and automation would bring costs down. But for owners and developers – the people actually funding projects – costs have continued to climb year over year, even as contractors and subcontractors report real efficiency gains from AI adoption. The gains are real; they’re just landing on the wrong side of the ledger.

In most industries where technology has matured – music, media, logistics – it has pushed costs down for end users. Construction has moved in the opposite direction: efficiency gains from AI tools tend to improve the margins of whoever deploys them, without reducing the total cost borne by the client footing the bill.

KP Reddy, Founder & CEO of Zero RFI, an AI-native owner’s representative firm, has watched that gap play out from the owner’s side of the table. “If you’re a contractor and you’re using AI and you say, ‘Oh, we’re becoming 30% more efficient,’ who benefits from that? The construction company benefits. The owner and developer doesn’t benefit from that,” Reddy says.

The Misaligned Incentive

A small number of firms have started applying AI agents specifically to project oversight on the owner’s side – site selection, design, construction management, facilities management – with the aim of capturing some of that efficiency for the party paying rather than the party building. A subcontractor or GC adopting AI has little reason to pass efficiency gains downstream to the client; doing so cuts against their own margin. Closing that gap requires tools built for, and controlled by, the owner’s side specifically.

For owners funding construction, the practical implication is straightforward: the AI tools their contractors adopt may improve contractor margins without reducing project costs, unless owners hire representation – or build capability – that sits on their side of the efficiency equation.

The AI-Generated Code Risk

A related trend concerns the software itself. As AI coding tools have improved, many construction firms have concluded they can build in-house versions of software they currently pay to license, rather than continuing to pay for features they don’t use.

“Nobody loves their software,” Reddy says. “You pay for 100% of the features, and you only use 30%. So if I can create my own software that only does the 30% I need, it’s probably a lot cheaper.”

The catch is that getting started with AI-generated code is easy, but putting it into production securely is not. Firms that build internal tools this way can end up carrying real cybersecurity exposure – open endpoints and inadequate hardening are common in software that skipped a formal security review on the way to production. Reddy compares it to the creator economy: setting up a YouTube account doesn’t make someone a successful creator. For developers evaluating any construction-tech vendor, the same gap applies – a polished demo doesn’t guarantee sound security infrastructure underneath it.

The Pricing Model Question

Some owner’s-side firms are also testing alternatives to the standard software subscription model – pricing tied to delivered value rather than seat licenses. One version of this runs as a proof-of-concept engagement: the client agrees to the scope upfront, the firm delivers, and the client determines the value produced and pays accordingly.

“The point of AI is I shouldn’t have to get 100 people working on a problem. My AI can analyze the problem – if I create value, tell me how much, and then you decide how much to pay me,” Reddy says.

He frames this as a challenge owners and developers should be issuing more broadly to their vendors and service providers: demand outcomes rather than seat licenses. “They’re not asking for enough,” he says of the posture most owners currently take toward AI adoption.

The underlying shift, in Reddy’s view, is that construction’s cost trajectory will only bend once the people funding projects – not just the people building them – have AI tools designed around their interests, and start demanding that posture from every vendor they work with. Whether that happens industry-wide depends less on any single firm’s platform than on whether owners, as a group, start asking for it.

About the Expert: KP Reddy is Founder and CEO of Zero RFI, an AI-native owner’s representative firm applying AI tools to project oversight from the owner’s side of construction, including site selection, design, construction management, and facilities management.

This article is based on information provided by the expert source cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.