What if the biggest impact of AI in construction isn't cutting costs or headcount, but raising the standard of what clients expect?

In this September takeover episode of KP Unpacked, guest host Tyler Sellhorn sits down with Brad Hargreaves, co-founder of General Assembly and Common, and founder of Thesis Driven, a newsletter reaching the investors, developers, and operators building American cities. Brad's take on AI in AEC cuts through the noise: the tools getting real enterprise adoption aren't the ones generating plans. They're the ones checking them. Validating them against code. Catching conflicts before they become change orders. And once clients know that capability exists, the question stops being "did you use AI?" and starts being "why didn't AI catch this?"

The conversation covers where AI savings are actually showing up in multifamily operations (hint: it's collections and renewal optimization, not headcount cuts), why the unified data layer is still largely unsolved, why feedback loops at project close are the most underutilized AI opportunity in construction, and why no amount of automated conflict checking can replace the human layer of project alignment. Technology is the augmentation. Teamwork is still the unlock.

Key questions answered:

• Why are plan checking tools getting enterprise adoption before plan generation tools?
• What does "why didn't AI catch this?" mean for client expectations going forward?
• Where are AI savings actually showing up in multifamily operations?
• Why was everyone's prediction about AI headcount cuts mostly wrong?
• What is a positive error rate and why do different firms come to different conclusions?
• How are tools like Trunk Tools, OpenSpace, and Alice Technologies connecting the dots across trades?
• Why is the unified data layer still largely unsolved across design and construction teams?
• Why are feedback loops at project close the most underutilized AI opportunity?
• What does Brad mean when he says AI can't replace the human layer?
• How does optimizing the worker's path generate savings without eliminating the worker?
• What's the difference between AI as efficiency gain versus AI as quality bar raiser?
• How does Thesis Driven think about second and third order effects of AI in AEC?

If you're in AEC wondering where AI is actually generating value versus where it was overhyped, a developer trying to understand what's coming next in multifamily operations, or building tools for the construction industry and trying to figure out what gets enterprise adoption, this episode will show you why the savings showed up exactly where nobody predicted.

Listen now.

Catch Brad live at AEC Summit on October 19th at The Weylin in Brooklyn.