How to Use AI to Find Real Estate Deals Others Miss

Jun 2, 2026

Last Updated on June 4, 2026

🎙️ Episode Summary

On this episode of Commercial Real Estate Unfiltered, host Caleb David sits down with Neal Bawa, the “Mad Scientist of Multifamily,” to discuss how data-driven investing and artificial intelligence are changing the future of commercial real estate. Neal, who leads Grocapitus, Mission 10K, and Multifamily U, explains how his technology background helped him spot opportunities during uncertain markets, including the 2008 downturn and today’s shifting multifamily cycle. The episode covers Neal’s journey from tech entrepreneur to multifamily investor, the rise of build-to-rent townhome communities, and the practical ways AI can help real estate companies analyze deals that others miss.


🔑 Key Takeaways

  • 🧠 Data Can Reveal Opportunity Before the Crowd Sees It
    Neal’s early real estate success came from using data to identify markets where fear had pushed prices below replacement cost.
  • 🏘️ Build-to-Rent Solves a Growing Housing Gap
    With homeownership increasingly out of reach for many middle-class families, rental townhome communities offer a bridge between apartment living and the traditional single-family dream.
  • 🤖 AI Is Becoming a Real Estate Analyst, Not Just a Writing Tool
    Neal’s team uses custom GPT-style tools to analyze rent comps, T12 statements, and acquisition opportunities faster than human teams could do manually.
  • 📉 Investor Sentiment Can Lag Behind Market Opportunity
    Neal argues that lower prices, flat rent growth, and negative sentiment may create stronger buying opportunities for disciplined investors.

  • 🚀 An AI-First Company Requires Culture, Not Just Software Neal’s team trains employees to build and use AI tools daily, turning AI adoption into a company-wide operating system.