If AI Makes Everyone Efficient, Why Are Buildings Still Expensive?

What happens when every silo optimizes itself but nobody optimizes the whole system?In this episode of KP Unpacked, KP Reddy and Nick unpack the central paradox of construction AI: if 500 AI estimating tools, AI scheduling tools, and AI design tools are all saving contractors 20-30% in their respective silos, why aren't buildings getting cheaper? The answer: all the waste lives in the interoperability, not the individual workflows. Walmart didn't get cheap by optimizing their suppliers in isolation. They engineered the entire supply chain to comply with their rules. Until someone does that in construction, everyone just gets more profitable in their own lane.The conversation covers DroneDeploy's $800M acquisition by Procore (good outcome for the industry, bad news for customers who loved the product), why reality capture might actually kill BIM by creating a historical archive of actual buildings that AI can train on to design new ones, and why the SaaS pricing model is quietly breaking apart at the feature level. KP is currently negotiating enterprise software, named the AI-native competitor, and the incumbent offered practically free. The switching costs that kept SaaS sticky for a decade are gone. AI agents migrate your data now. No Deloitte implementation required.Key questions answered:If AI makes everyone more efficient, why aren't buildings getting cheaper?Why does all the waste in construction live in interoperability, not individual workflows?Who will be the first contractor to defect from the prisoner's dilemma and price 20% lower?What does the DroneDeploy acquisition mean for Procore's hardware ambitions?Could reality capture kill BIM by training AI on 20,000 actual scanned buildings?Why is the SaaS pie shrinking for the first time in tech history?How do AI-native companies use incumbent software against itself in pricing negotiations?Why did the AI-native competitor quote five years of service for what the incumbent charges in one year?Why are switching costs gone when AI agents migrate your data in minutes?Are public companies structurally incapable of innovating anymore?What happens to Procore and Autodesk now that they've both made major acquisitions?Why does Microsoft keep trying and failing to enter the AEC market?If you're a construction company wondering whether AI savings will ever show up in project costs, a founder trying to understand the exit landscape after DroneDeploy, or negotiating a software renewal and wondering whether to name drop an AI competitor, this episode will show you exactly where the leverage is and why the pricing power that built SaaS is gone.Listen now.