AI for Real Estate cover art

AI for Real Estate

AI for Real Estate

By: Dr. Adam Gower
Listen for free

Summary

 AI for Real Estate Pros is a demo-driven podcast showcasing the most innovative AI tools being deployed across commercial real estate. Each episode goes beyond theory. You see the platforms in action - sourcing deals, parsing OMs, underwriting in seconds, optimizing operations, improving tenant performance, enhancing investor reporting, and positioning assets for exit. Commercial real estate has long relied on manual, fragmented workflows. This show highlights the founders, products, and practical implementations that are redesigning those workflows with AI. Hosted by Adam Gower Ph.D, a 30-year CRE principal and advisor with multi-billion-dollar transactional experience, the podcast focuses on what actually works - not hype, not headlines. If you want to understand how AI is reshaping the full deal lifecycle - and how to apply it inside your own firm - this is where you start. Newsletter: GowerCrowd.com/subscribe Email: adam@gowercrowd.com Call: 213-761-1000Unless otherwise indicated, all images, content, designs, and recordings © 2025 GowerCrowd. All rights reserved. Economics Personal Finance
Episodes
  • How to Find Off Market Land Deals in Minutes

    How to Find Off Market Land Deals in Minutes
    May 6 2026
    Most development firms are competing over 1.5% of US land. The other 98.5% - 158 million parcels - exists. It just takes hours per parcel to analyze, which most teams can't afford to do at scale. So they don't. They fight over the same listed inventory everyone else can see. Oliver Alexander, founder of Prophetic Software, built a platform to change that calculus. AI-interpreted zoning across every US municipality. Single family detached housing alone has more than 9,000 naming variants across US zoning codes. Pre-AI search couldn't normalize that. Prophetic's Zone AI does, with citations back to the source document so developers can verify before committing capital. Analysis time: three hours to six minutes. That's the gap between how long it takes a trained analyst to answer ten basic questions about a parcel using county websites versus doing the same task in Prophetic. The platform covers site size, zoning, wetlands, environmental flags, owner contact, and affiliated holdings. Preliminary site plans in two to five minutes. Before a developer spends weeks and thousands of dollars on engineering, Site AI generates a preliminary unit count estimate - environmental constraints included - in the time it takes to make a cup of coffee. The firms that are going to win the next cycle of development are not the ones with the most analysts. They're the ones that can evaluate more sites faster and close on the ones nobody else found. The tools to do that now exist. The development firms still running this on county websites and Excel are not behind on software - they're behind on deal flow. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for capital formation - and across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: adam@gowercrowd.com Call: 213-761-1000
    Show More Show Less
    57 mins
  • AI Hotels Can't Actually Use

    AI Hotels Can't Actually Use
    Apr 29 2026
    Most hotel technology investment is stuck in a waiting room called Hilton approval. Jake Wurzak, founder of DoveHill Capital - 20 hotel properties, 11 managed directly - has spent the past year mapping exactly where AI can and cannot reach inside his own portfolio. Brand lock-in is the actual bottleneck. Hilton, Marriott, and Hyatt control the core technology stack at every affiliated hotel. Revenue management, check-in systems, guest data - all locked. Third-party AI platforms cannot be substituted without brand cooperation, which moves slowly. The workaround is agentic AI running on top of legacy systems. Rather than waiting for a brand-sanctioned AI product, DoveHill is testing AI agents that operate within existing platforms the same way a human employee does. No new integration. No vendor approval. The agent replaces the labor, not the system. The back-of-house opportunity is larger than most operators realize. Housekeeping scheduling, purchasing, and data-linking between accounting and BI platforms are all being done manually at most hotels today. One senior employee at DoveHill spent six hours linking data between two competing software systems. That task is automatable now. The sponsors who figure this out early are not the ones waiting for Marriott to ship an AI product. They are the ones putting agents on top of the systems they already have. The gap between what independent and boutique operators can deploy versus what a branded hotel can deploy is already widening. In three years, that gap will be visible in NOI. Listen to the full conversation, including specific tool applications and how DoveHill is rolling out Claude across its investment team. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for capital formation - and across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: adam@gowercrowd.com Call: 213-761-1000
    Show More Show Less
    50 mins
  • Why 50% of U.S. CRE Listings Pass through Buildout

    Why 50% of U.S. CRE Listings Pass through Buildout
    Apr 22 2026
    Most commercial real estate brokerages are still running their operations on Excel, PowerPoint, and three separate tools that don't talk to each other. Every time data moves between them, something degrades. The broker pays for it in time. Helen Calvin, CEO of Buildout - the platform that processes roughly 50% of U.S. commercial listings - sat down with me to walk through what end-to-end brokerage operations software actually looks like in practice, and where AI fits into it. Three things from the conversation that are worth sitting with: • The chassis problem has moved. AI has largely solved underwriting throughput. Acquisition teams that previously underwrote five deals a week are now moving through 50. The bottleneck is now downstream - deal processing, follow-up workflow, relationship management. Firms with fragmented operations there are about to feel this. • A one-person shop can now deliver an institutional-grade client experience. One Buildout user - no admins, no team - received client feedback describing it as one of the best commercial real estate buying experiences they'd had. The platform does the operational work. The broker does the relationship work. • Building your own AI agent stack is usually the wrong call. The buy-versus-build calculus applies here as everywhere else. A software company whose only job is optimizing CRE brokerage workflows accumulates design decisions that take months to rediscover. The time spent configuring agents is time not spent on deals. Calvin's framing on where AI hits its limit is precise: it can automate the analytical willingness to buy. It cannot create the emotional willingness to buy. That's the wall. The firms that understand this - and invest accordingly in the infrastructure that handles everything up to that wall - will have a structural advantage over those still moving data manually between tools. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - and across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: adam@gowercrowd.com Call: 213-761-1000
    Show More Show Less
    46 mins
adbl_web_anon_alc_button_suppression_c
No reviews yet