How This Real Estate Investor is Betting on an AI Boom (It’s Not Data Centers) | Tom Shapiro

Episode Summary

Executive Summary: Tom Shapiro of GTIS Partners argues that real estate’s biggest near-term risks are not inflation but employment, household formation, and AI-driven disruption. He sees oversupply hurting Sun Belt housing markets, while San Francisco and logistics/industrial are emerging winners due to AI and reshoring. Brazil remains a strategic, if complex, global bet.

Main Topics: Macro risks: inflation vs. employment and AI (Priority: 5/5): Shapiro says inflation can be partially hedged through rent growth, but job losses, AI-driven efficiency, and weaker household formation are bigger threats to housing demand and real estate returns. Residential market conditions and household formation (Priority: 5/5): The conversation centers on how job growth, immigration, and affordability drive housing demand; Shapiro argues residential remains safer than office, but only if employment and population growth hold up. Policy and housing affordability (Priority: 4/5): Shapiro criticizes a proposed housing bill feature that would force conversion of build-to-rent units to for-sale product after seven years, arguing it would shrink rental supply and hurt affordability. Sun Belt oversupply vs. San Francisco recovery (Priority: 5/5): He says Sun Belt markets like Austin, Phoenix, Nashville, Charlotte, and Vegas were overbuilt and now need time to absorb supply, while San Francisco is rebounding strongly due to AI firms and improving city conditions. AI, data centers, and logistics/industrial demand (Priority: 4/5): AI is framed as both a labor disruptor and a catalyst for new demand in data centers, power, and warehouses. GTIS is leaning into logistics industrial, especially near factories and data-center supply chains. Brazil as a long-term global real estate play (Priority: 4/5): GTIS’s Brazil platform is a core business, with Shapiro highlighting stronger assets, improving currency, and favorable sectors like industrial and hospitality, despite regulatory complexity and inflation sensitivity.

Key Arguments: Inflation matters, but employment is the bigger variable for real estate because fewer jobs reduce household formation and housing demand. AI could lower employment in some sectors, but it also creates real demand for data centers, warehouse suppliers, and more efficient business operations. Immigration has been a major contributor to household formation and also supplies construction labor; tighter immigration hurts both demand and development. The proposed build-to-rent conversion rule would reduce rental supply and does not fit how horizontal multifamily communities actually operate. Sun Belt apartment markets were oversupplied after a wave of developer enthusiasm; recovery will take longer than brokers and pundits expected. San Francisco is recovering because AI companies are occupying space, tech firms are calling workers back, and city leadership has improved public safety and cleanup. Real estate markets are hyperlocal: strong national narratives can fail at the building, neighborhood, or submarket level. Brazil remains attractive because it is a major exporter, has improving institutional real estate, and offers higher returns, though local complexity demands a premium. Reshoring/onshoring is real and supports industrial and warehouse demand, especially around new manufacturing and data infrastructure. Lower interest rates would help real estate, but long-term rates matter more than short rates for home affordability and financing conditions.

Data Points: GTIS founded: 2005 - Shapiro says the firm started in 2005 and began in Brazil. U.S. household formation pre/post GFC: about 1.2 million vs. 600,000–700,000 - He cites this drop during the global financial crisis as evidence that employment drives housing demand. Share of household formation from immigration: 20%–30% - He argues immigration was a meaningful contributor to household formation before it was restricted. Rent-to-own cost gap: $1,100–$1,200 more per month - He says owning is now substantially more expensive than renting in many markets. Affordability test at 5% mortgage rates: 9 million households could afford a $400,000 mortgage - He uses this to argue that lower mortgage rates would materially expand buying power. Sun Belt concessions: 4 months free rent - He says some Nashville apartment buildings are offering four months of free rent to lease up. San Francisco AI occupancy: almost 9 million square feet - He says AI companies now occupy significant office space in San Francisco. San Francisco AI share of occupied space: over 13% - He uses this to support the city’s recovery thesis. San Francisco vacancy: about 35% vacant previously; now moving into the teens - He says AI demand is helping push vacancy down materially. San Francisco rent growth: over 10% year over year - He claims San Francisco has become one of the strongest apartment markets recently. San Francisco rent stabilization rule: 0.6% of CPI - He notes rent increases for older buildings are tightly constrained. Brazil policy rate: 15% reduced to 14.5% - He references Brazil’s high-rate environment and cautious central bank. Brazil office sale cap rate: around 8% - He says some office buildings sold recently at this level despite high local rates. Infinity Tower anchor tenants: Goldman Sachs, Credit Suisse, Apple, Facebook, Bloomberg, LVMH - He cites this as proof of the quality GTIS delivered in Brazil. Brazil office building size: 100,000 square meters / 1.1 million square feet - He describes a large speculative office project in São Paulo. GTIS San Francisco buying pace: 2–3 buildings per month - He says the firm is aggressively acquiring apartments in the city. GTIS Brazil workforce: 30+ people locally and 4 in-house attorneys - He uses this to illustrate the complexity of operating in Brazil.

Pivotal Quotes: "Inflation are obviously a big concern, but a lot of ways real estate is somewhat of a hedge to inflation." — Tom Shapiro: Opening discussion on macro risks to real estate "AI is a big disruptor across a lot of different industries... less jobs means there's less demand for housing." — Tom Shapiro: Explaining why employment is the key risk for residential demand "We really love the San Francisco story." — Tom Shapiro: Describing GTIS’s bullish apartment strategy in San Francisco

Implications: Listeners should expect real estate winners and losers to diverge sharply by submarket. Job growth, interest rates, AI adoption, and policy choices will matter more than broad inflation narratives, with San Francisco and logistics looking stronger than oversupplied Sun Belt housing.