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INDUSTRY INSIGHTS
5 Things We Learned from a Month of Executive Briefings


Over the past five weeks, we spoke to CTOs, PhDs, VPs, attorneys, AI founders, and market analysts. The conversations covered everything from earnings calls and geopolitical disruptions to AI deployments and workforce data. Taken individually, each briefing told its own story. Taken together, five patterns emerged that every AEC leader should be paying attention to.


1. The market is splitting in two, and the gap is widening

Construction is no longer one market. It is two, moving in opposite directions. Data centers, energy, defense, and infrastructure are surging on both sides of the Atlantic. Traditional sectors, such as residential, retail, office, fit-out, are contracting. UK contract awards fell 43%. Firms across Europe entered administration. In the same period, Morgan Sindall posted record revenue of £5.02 billion, Balfour Beatty hit a record £22.7 billion order book, and US data center starts reached $25.2 billion in a single month.

The split is structural, not cyclical. Labor and capital are following the same lanes. Policy, from tariffs to immigration enforcement to grid connections, has become a delivery risk. The contractors choosing their work carefully are posting record results. The ones chasing volume are exposed.


2. The industry is spending billions automating the wrong thing

Matt Gough's Cogital report interviewed 50 senior AEC leaders about AI adoption. Everyone was bullish. Everyone was using AI to speed up existing workflows. None were questioning whether those workflows need to exist in their current form.

A VP at a multi-billion-dollar US general contractor put it plainly: "We keep trying to apply new technology to old processes. The question we should be asking is, "Does the process need to exist at all?" His example was submittals. If a model can go directly to a CNC machine, why does a four-week review cycle still exist? 

Across all 50 interviews, one company stood out. Their rule: if a task takes more than five minutes or you will do it more than five times, use AI. Every employee gets a monthly AI budget. That was the outlier. One out of fifty.


3. AI has landed in construction. Trust hasn't.

The deployments are real. Turner and Skanska have rolled out AI safety agents enterprise-wide. Firmus AI caught 17 change orders before construction started. The American Arbitration Association launched an AI arbitrator. These are production systems, not pilots.

But the governance gap is growing faster than the adoption curve. Clayco's CIO flagged 400 ungoverned applications across the organization. A construction attorney described a ChatGPT contract redline that argued against the interests of the party that used it. AI meeting minutes have become the sole record of events after recordings were deleted. As Josh Levy of Document Crunch put it: "You can't vibe code trust." The firms deploying AI already had strong governance. AI amplified their discipline. Where governance was absent, AI amplified the chaos.


4. The knowledge crisis is two problems, not one

Alain Waha, CTO at Buro Happold, reframed what the industry thinks it knows about the knowledge gap. Capturing institutional knowledge before it retires is the problem everyone recognizes, with 41% of the US construction workforce expected to retire by 2031. But the second problem receives far less attention: juniors who have always had AI-generated answers may never develop the judgment to know when those answers are wrong.

Alain's deeper insight was that large language models have accidentally solved construction's oldest interoperability challenge. They can read documents, such as drawings, contracts, specs, email as they are and cross-reference them without the industry agreeing on a single standard. That is the integration breakthrough 30 years of BIM standardization never delivered. But it only compounds if someone is capturing the knowledge. The firm that makes 20 years of project data queryable builds a moat. Their competitor's knowledge walks out the door with every retirement.


5. Discipline, not technology, separates the winners

Matt Stevens has spent 40 years studying what separates contractors who survive from those who don't. His most revealing finding: he showed 150 contractors a simple Project ROI calculation. Six got it right. Three jobs with identical 5% profit margins returned 135%, 47%, and 12% ROI respectively. The variable is cash exposure and timing. Almost nobody is tracking it.

Upper quartile contractors outperform lower quartile by 300% to 1,100% in Stevens' research. The difference is compliance with documented best practices. Well-run jobs retain experienced workers. Chaotic ones lose them to the site down the road. In an industry 400,000 workers short, workforce retention is a strategic issue that starts with operational discipline. Stevens' advice: know what good looks like first. Then automate it.

Key lessons

  • The construction market has split structurally. Selectivity and cash discipline are separating the winners from everyone else.

  • Most firms are using AI to speed up broken processes. The better question is whether those processes should exist at all.

  • AI governance is lagging behind AI adoption. If your tools never push back, that is a liability, not a feature.

  • The knowledge gap is a two-part problem: capturing what the current generation knows and ensuring the next generation can evaluate what AI tells them.

  • The firms posting record results share one trait. They defined what good practice looks like before they invested in technology.


The bottom line

The same month produced record earnings for disciplined firms and administration for undisciplined ones. The technology is available to everyone. The difference is whether you were ready before it arrived.

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