Latest News & Trends for AECO.

When did you last read your own project record? Not search it. Read it. General contractors I speak to can tell me, with confidence, that their project record is complete.

Not the software. The client calls the project director, and nobody in this industry would have it any other way. I keep returning to that fact because the conversation about AI in construction has drifted toward what agents will do, and away from who answers for it.

Last month I sat down with a group of technical leaders in Manchester for a roundtable on AI adoption, hosted by Nimble Approach. It was a wide mix of businesses: firms handling complex legal matters, large consumer-facing organizations, data specialists, logistics companies and consultancies. Our discussion followed two tracks: driving adoption inside a business as part of wider change, and showing customers the value an AI product brings them.

Ageiro’s Head of Engineering on how we hand the repetitive loops of software delivery to AI agents, while humans stay accountable and in command of every plan and every merge. And why, in an industry built on provenance and sign-off, that makes us easier to trust rather than harder.

There’s a moment on almost every construction project that everyone in AECO quietly dreads. It’s not the first pour, or the clash detection session that reveals three months of coordination hell. It’s handover. And after a decade of digital tools, BIM mandates, and Common Data Environments, it’s still happening on most projects.

In the first few months of 2026, more than $130 million has landed in construction tech companies. When you look at what those companies actually do, a clear pattern emerges. And it is not what most of the industry commentary would have you expect.

A new ASCE survey landed this week with a stat that stopped me scrolling: only 27% of architecture, engineering, and construction firms are actually using AI in their operations. But of that 27%, 94% said they’re increasing their AI usage this year. Not maintaining. Increasing.

If you’ve been treating BIM as a box-ticking exercise for public sector bids, 2026 is the year that changes. The international standards underpinning how we manage information across built assets are being fundamentally revised, and the definition of "BIM compliance" is expanding well past the modeling phase.

The early days of AI were defined by the race for general intelligence. But the next evolution is not about getting bigger. It is about getting vertical. We are entering the era of the Domain Language Model and the Vertical Language Model.

Software stocks shed nearly $1 trillion in value in early February alone. Analysts coined a new acronym (FOBO, fear of becoming obsolete) and the press landed on a catchier label: the SaaS-pocalypse. It makes for great copy. But here’s the thing: the diagnosis is wrong. SaaS isn’t dying. It’s molting.

For years, the "Stochastic Parrot" was the ultimate skeptic’s shield. But as we navigate 2026, that shield is cracking. We are witnessing a transition from mere mimicry to something that functions as real intelligence, building functional models of reality to solve problems it was never explicitly taught.

Artificial Intelligence is rapidly becoming part of everyday work. Yet many organizations are discovering that while these tools are impressive, they don’t always translate into better decisions or better outcomes. The difference lies in whether AI is generic or purpose-built.

There is a lot of excitement right now around agentic AI. But as we move from experimentation into real operational use, especially in industries like construction, engineering, and the built environment, one principle becomes non-negotiable. Determinism still matters.

As leaders gather in Davos under the theme "A Spirit of Dialogue," AI has moved from a promising tool to a structural force reshaping economies, institutions, and societal norms. The discussion is no longer about whether to adopt AI, but how quickly organizations can re-architect themselves around agentic systems.