AI for Real Estate

Dr. Adam Gower
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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: 213-761-1000

  1. How to Find Off Market Land Deals in Minutes

    MAY 6

    How to Find Off Market Land Deals in Minutes

    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

    57 min
  2. AI Hotels Can't Actually Use

    APR 29

    AI Hotels Can't Actually Use

    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

    50 min
  3. Why 50% of U.S. CRE Listings Pass through Buildout

    APR 22

    Why 50% of U.S. CRE Listings Pass through Buildout

    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

    46 min
  4. The Data Layer Reshaping Real Estate Decisions

    APR 15

    The Data Layer Reshaping Real Estate Decisions

    Most CRE firms do not know how their data is performing. They know the assets. They do not know whether the numbers coming out of their ERP, their property management system, and their third-party data feeds are consistent, auditable, or actually connected.   When AI gets layered on top of that mess, it produces confident-sounding outputs nobody can verify.   LD Salmanson, co-founder and CEO of Cherre, has spent seven years building the infrastructure layer that sits underneath the AI. The alternative is manual - and it breaks. Teams of consultants collect, distill, and rebuild data processes every few years. When staff leave, institutional knowledge leaves with them. The process erodes; you rebuild it. Compliance is non-negotiable. For clients reporting to public markets, "the LLM said so" is not a defensible audit trail. Every data point needs a traceable chain of custody from source to final figure. The engineering function is changing faster than hiring cycles. Cherre has moved to a model where engineers design and govern agents rather than write code. Salmanson expects manual coding to be largely redundant within six months. Firms that have not solved the data layer first will find themselves unable to deploy AI in any operationally meaningful way. The gap between firms that have built this infrastructure and those that haven't will be visible - and measurable - within the next 12 to 18 months.   ***   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

    1 hr
  5. Turning Lease Documents Into Intelligence with AI

    APR 8

    Turning Lease Documents Into Intelligence with AI

    My podcast/YouTube show guest today, Cameron Steele has spent the last several years tackling a problem most commercial real estate firms don't realize they have.   As the co-founder and CEO of Prophia, his focus is simple: turn the most important documents in CRE - leases - into usable intelligence.   The issue is that much of the economic blueprint of commercial real estate still lives inside legal documents. And most firms are still extracting that information manually.   In our latest conversation, Cameron walks through how AI is beginning to change that.   In brief: • Lease documents remain the ultimate source of truth in CRE • Yet much of the data inside them is still trapped in unstructured text • Many firms still rely on manual lease abstraction processes • AI can now convert those documents into structured intelligence • That data can power portfolio analysis, risk management, and reporting   Our conversation answers several questions CRE professionals regularly face:   • What kinds of operational insights become possible once lease data is queryable? • What happens when lease terms are buried inside hundreds of legal documents? • Why is lease data still managed manually across much of the industry? • How can AI connect structured and unstructured data in real estate? • Why is change management the biggest barrier to adoption?   Cameron captures the broader issue in one observation: "It's stunning that this industry, which is so large… is still manually compiling data like this." If you manage portfolios, analyze assets, or oversee leasing exposure, this conversation provides a useful look at how data infrastructure in CRE may evolve over the next decade - and how one shop, Prophia, is doing it today. Well worth the watch.   ***   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

    1h 4m
  6. Real-Time Asset Management, Finally

    MAR 25

    Real-Time Asset Management, Finally

    Most multifamily asset managers are still assembling reports.   Colin Green built software to eliminate that step entirely.   Colin is the founder of BubbleGum BI, a business intelligence platform designed specifically for multifamily asset managers. Before launching it, he built the tool for himself - nights and weekends - to solve the frustration of pulling rent rolls, cleaning spreadsheets, and waiting on Monday Morning Reports.   The result is a real-time operating layer.   In our conversation, Colin answers five important questions for serious CRE operators: How do you measure renovation spreads accurately at the unit level? Where does AI realistically fit into asset management workflows today? How should retention be monitored before it hits the income statement? Can you benchmark management companies across markets objectively? What happens when occupancy, renewals, and comp data refresh daily instead of weekly? One of his more pointed observations: "It's not good using old data. I don't understand how we can make decisions for the future with data that's a week or a month old."   The interesting part is that AI is not the headline. Clean data is.   Colin's longer-term vision includes AI agents flagging risks, pricing mismatches, and renewal exposure daily. But he is clear that the foundation has to be structured, integrated data first.   If you oversee multiple assets and still rely on static reporting packages, this episode is worth your time.   It's what operational clarity looks like when reporting friction disappears.   ***   At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but 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

    50 min
  7. Data Is the Real AI Advantage

    MAR 11

    Data Is the Real AI Advantage

    The firms that win with AI in this cycle won't be the ones with the best models. They'll be the ones with the best data.   My Demo Day podcast/YouTube guest today is Michael Mandel, co-founder and CEO of CompStak.   Key takeaway: clean data is the moat - AI is the multiplier.   CompStak spent 14 years crowdsourcing lease and sales comps from nearly 50,000 brokers and research professionals. That foundation is what makes their AI tools actually useful rather than just impressive.   The practical applications worth knowing about: natural language search across 1.3 million lease comps, AI-powered rent estimations weighted by hundreds of comparable deals, and dynamic market narratives that replace what used to take an analyst team days to produce.   For institutional players, the real value is portfolio benchmarking - seeing whether your rents, concessions, and lease positioning are above or below market. Not against your own assumptions, but against actual comp data.   Coming in 2026: enterprise clients will be able to plug CompStak data directly into their own internal platforms, and a new prospecting tool for tenant rep brokers that surfaces opportunities based on upcoming lease expirations and tenant growth patterns.   ***   At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but 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

    59 min
  8. Amazing Pitch Decks with AI

    MAR 4

    Amazing Pitch Decks with AI

    Most pitch decks are failing because PDFs no longer match how investors actually consume information, especially on mobile.   That is the problem Avi Solomon and his team at Pulse are solving with AI.   In brief: • Interactive decks increase conversions • AI now makes advanced pitch decks economically viable • Investors increasingly expect interactive, mobile-native formats   Pulse feels like a category shift because the decks behave like interactive web pages not documents where on-screen motion captures attention, information is layered so investors can skim or drill down without friction, and everything is explorable.   The most compelling feature is interactivity around underwriting where investors can stress tests assumptions, using the sponsor's pro-forma (hidden behind the scenes), to see how returns change. That reframes underwriting from a static presentation into a shared analytical exercise.   Financials follow the same logic. Sources and uses, pro formas, rent comps, and market data are presented at a high level first, then expanded line by line only if the investor chooses.   The visuals support the story rather than overwhelm it where floor plans become 3D renderings, amenities are navigable, sponsor bios expand on demand and with video when available. Bottom line: Pulse reflects where capital formation is heading. Pitch decks are no longer just documents, they are interactive environments designed around how investors evaluate risk and make decisions.   If you are still sending PDFs and hoping for engagement, this episode is worth watching.   ***   At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but 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

    49 min
See All (20)

4.9
out of 5
35 Ratings

About

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: 213-761-1000

Information

  • Creator
    Dr. Adam Gower
  • Years Active
    2017 - 2026
  • Episodes
    20
  • Rating
    Clean
  • Copyright
    Unless otherwise indicated, all images, content, designs, and recordings © 2025 GowerCrowd. All rights reserved.
  • Show Website
    AI for Real Estate

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