What if the biggest crisis in construction isn't AI adoption, it's that we hand over $100M assets with no instruction manual?

In this episode of KP Unpacked, KP Reddy sits down with David Niewiadomski, former Turner Construction executive turned Shadow Ventures operator, to answer a haunting question: if your building could talk, what would it say? The answer isn't pretty. "You don't do scheduled maintenance. You didn't check the caulk joints before the warranty expired. You take me for granted." Dave spent 17 years in the contractor trenches, pre-con, estimating, project management, and walked away to solve the data handoff problem that makes every asset transfer feel like buying a car with no owner's manual.

The conversation weaves between tactical AI workflows (how to automate bid leveling in two weeks, why Claude told KP he was "out of his depth" and should call Barry) and systemic industry failures. Why do cars come with organized manuals regardless of manufacturer, but $100M buildings get handed over with incomplete data scattered across expired Procore servers? Why don't architects visit existing hospitals before designing new ones? Why do facilities teams get involved after walls are already placed? And why, when KP's uncle kept every oil change receipt in a three-ring binder to maximize car resale value, don't we track building maintenance the same way?

Key topics covered:

• Why IT departments are the #1 barrier to AI adoption, not capability, cost, or interest, just permissions
• How Dave would automate bid leveling in two weeks using Claude Cowork if corporate let him tinker
• Why pre-con departments are perfect AI targets: small teams, high expertise, Excel-heavy workflows
• The moment Claude told KP to escalate to Barry because he was out of his depth—and what that means for mentoring juniors
• If your building could talk: "40% of my caulk joints are cracking and my exterior warranty just expired"
• Why cars have consistent owner's manuals but $100M buildings don't, the automotive vs. construction data gap
• How organized building data determines which deals asset managers skip during due diligence
• The CapEx vs. OpEx disconnect: design teams optimize construction cost, ignore 20-year maintenance nightmares
• Why facilities teams review drawings after decisions are locked and walls are already placed
• The hospital prototype problem: architects don't visit 50 existing hospitals to learn what breaks and what costs too much
• Why grocery store GMs kept selling corporate-spec'd deli coolers on eBay, and corporate couldn't update specs fast enough
• How technology creates deflation everywhere (Blockbuster to Netflix, $20 CDs to Spotify), except construction
• Why RFIs and change orders eat 10-20% of contract value, and AI's first impact will be waste reduction, not bid prices
• Whether contractors will pass 30-40% AI cost savings to owners (answer: no, they'll pocket it until competition forces pricing down)
• Why mid-sized GCs will adopt AI faster than Turner, fewer people, less federal red tape, more agility
• The union robotics challenge: layout robots worked in NYC, but full automation requires labor negotiation
• Why institutional knowledge walks out the door with employee turnover, and Procore data disappears when subscriptions end
• The three-ring binder standard: why we track car maintenance for resale value but not $100M building systems

If you're an owner frustrated by incomplete building handoffs, a contractor wondering where AI automation starts, or a facilities manager tired of inheriting broken systems with zero documentation, this episode will make you realize the problem isn't innovation, it's that we never solved basic organization.

Listen now.