Welcome to KP Unpacked, the #1 podcast in AEC.
Hosted by @KP Reddy and co-host @Nick Durham.
What if the way we measure work is completely wrong? In this episode, KP and Nick dive into the MIT “Gen AI Divide” report and uncover how incentives, adoption, and measurement distort the real impact of AI inside enterprises.

Here’s what you’ll hear in this conversation:

• Why most companies report “no AI benefits” even though 95% of employees use AI daily
• The hidden incentives that keep workers from admitting AI is making them faster and better
• The rise of the Shadow AI Economy and what it means for enterprises vs individuals
• Why current ROI metrics miss the mark and why we should measure tokens instead of time
• Token arbitrage explained: how value will shift when human work is priced per token
• The psychology of professional services and why billable hours are nearing extinction
• How AI adoption differs across industries and why AEC faces unique challenges
• Fresh founder lessons on persistence in construction tech and the brutal reality of this industry

AI is not just about saving hours. It is about redefining how value gets measured, priced, and delivered. The question is not if this shift happens, but when.

Sounds like you? Join the waitlist at https://kpreddy.co/

Check out one of our Catalyst conversation starters, AEC Needs More High-Agency Thinkers

Hope to see you there!