Investing In Real Estate With AI Science

Neal Bawa is here today to discuss the investing intersection of real estate with ai science. Neil explains how he transitioned from a tech career into real estate by applying data science to identify high-performing markets, emphasizing that factors like job growth, population growth, income growth, home price trends, and crime reduction can significantly improve investment outcomes. He outlines how his team uses advanced analytics and AI tools to rank cities, analyze deals, and uncover insights that humans often miss, while also integrating AI deeply into company operations through structured systems like EOS. He highlights selective opportunities in distressed multifamily assets and emerging areas like senior housing, while cautioning that single-family and industrial assets remain expensive. We discuss... Neil Bawa transitioned from tech to real estate, using it as a tax-efficient path to build long-term wealth. Key drivers of real estate performance include job growth, population growth, income growth, home price trends, and crime reduction. He developed a data-driven system to rank U.S. cities and identify high-performing markets like Madera, California. AI is deeply integrated into his company, with employees required to use it daily and contribute to building internal tools. AI improves efficiency and insight generation, even if it occasionally makes calculation errors. He expects modest interest rate declines in 2026, with mortgage rates around 6–6.3%. Home prices are likely to remain flat or grow slightly (1–2%) due to improving supply and demand dynamics. The "lock-in effect" from ultra-low pandemic-era mortgages has constrained housing supply and prevented price declines. As rates ease, more sellers and buyers are expected to re-enter the market, balancing prices. Multifamily real estate saw price declines with rising rates, unlike the single-family market. Distressed multifamily deals present niche opportunities, especially in overleveraged markets. The office sector is likely near a bottom, with gradual recovery driven by return-to-office trends and limited new supply. Private credit is growing but carries elevated risk, requiring careful selection of managers. Real estate overall is in a transitional phase after several challenging years, particularly for commercial sectors. Today's Panelists: Kirk Chisholm | Innovative Wealth Barbara Friedberg | Barbara Friedberg Personal Finance Marc Walton | Forex Mentor Pro Follow on Facebook: Follow LinkedIn: Follow on Twitter/X: For more information, visit the full show notes at

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Investing In Real Estate With AI Science is an episode from Money Tree Investing by Money Tree Investing Podcast.

This episode is 53:27 long.

This episode was published on Apr 17, 2026.

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