Episode 84: Structured Data Is the Real AI Moat in Construction

McKinsey projects $228 billion in annual U.S. AEC industry value from AI by 2030 — but Burns & McDonnell's Brett Poulos says most firms aren't positioned to capture it. The bottleneck isn't the technology; it's unstructured, siloed project data. In this episode, Poulos breaks down what contractors and construction firms must do before deploying any AI tool, why data governance is a competitive moat, and why integrated data access could drive a new wave of M&A between contractors and design firms. Key Takeaways: McKinsey Global Institute projects AI could generate ~$228 billion in annual value for the U.S. AEC industry by 2030, but warns early advantages will quickly become table stakes. Burns & McDonnell's Poulos says structuring and standardizing data — not purchasing AI platforms — is the mandatory first step; unstructured data cannot be effectively ingested into AI decision-making systems. Project data (design documents, schedules, procurement records, cost estimates, progress timelines) currently lives in disconnected systems across most AEC firms, limiting decision quality at every phase. Burns & McDonnell applied reality capture, continuously updated models, and AI-enabled progress tracking on a multimillion-dollar animal health monoclonal antibody manufacturing expansion under active USDA and EU regulatory oversight — reducing rework before it reached the field. Poulos predicts data integration pressure could accelerate M&A and strategic partnerships between contractors and design firms seeking access to each other's project data silos. Firms must train all employees on AI utilization and establish semantic governance architecture — defining what information can enter AI systems and what must remain protected — before enterprise deployment. Pilot programs are required before enterprise rollout: test cases must confirm both ROI and operational feasibility. The AI race in construction will not be won by whoever buys the most sophisticated tools first. It will be won by firms that treat data structuring, governance, and integration as strategic infrastructure — and that build those foundations now, while competitors are still shopping for software. For developers, GCs, and capital partners evaluating technology-forward firms, data maturity is becoming a proxy for execution reliability. Subscribe to Built Different for daily updates on Modular construction reality.