AI for Real Estate

Dr. Adam Gower
  • 4.9 (35)
  • Investing
  • Updated Weekly

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. Why Firm-Wide AI Beats Individual Tools

    4d ago

    Why Firm-Wide AI Beats Individual Tools

    Most CRE sponsors treat AI as a collection of separate tools but the firms pulling ahead are building something fundamentally different: a single integrated stack where every layer of the operation, from deal sourcing to asset management, feeds the same system.   Adir Levitas, founder and CEO of Faropoint, has been building that for seven years across a portfolio now exceeding $5 billion in assets and 550 buildings. 65% market coverage is the acquisition edge. Faropoint built a proprietary platform that captures nearly two-thirds of all small bay industrial deal flow in its US target markets - in real time. That is seven years of broker relationships trained to a purpose-built system. AI now benchmarks rent accuracy above human analysts. The REXy AI suite estimates market rent, models tenant renewal probability, and forecasts submarket rent growth. Faropoint uses it as an internal performance benchmark - proof that they leased above market, not just a claim. Investment professionals are building the software. Faropoint's senior management team, not engineers, are building the front ends for Faropoint's core platforms using AI coding tools. The tech team supplies infrastructure. The business team drives product. The silo is gone. The operational implication is straightforward: if a $5B industrial manager is already running acquisitions at two properties per week through an AI-native deal stack, the firms without equivalent infrastructure are not competing on the same terms. Institutional LPs are now treating AI integration as a due diligence criterion, not a bonus feature. GPs who cannot demonstrate a real answer to that question in the next fundraise cycle will feel it.   ***   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

    48 min
  2. 91% of Real Estate Firms Know AI. 9% act.

    Jun 16

    91% of Real Estate Firms Know AI. 9% act.

    Most commercial real estate firms believe AI will transform their business. Only 9% have done anything about it. That is not a technology problem. It is a workflow problem - and no one is asking the right question to close the gap.   Eglae Recchia, CEO of Keyway, has been building purpose-built AI infrastructure for CRE for five years. Her read on the 91% is direct: the industry moved toward solutions before identifying the problems.   Three things worth noting from the conversation: The build-vs-buy math is settled. A CTO she spoke with recently gave his team open access to general-purpose LLM APIs. They spent $100,000 in tokens in a month and got inconsistent outputs. Keyway's entire team works on one problem. A CRE firm's tech team does not. Hallucinations are an underwriting liability. General-purpose models produce different answers to identical inputs. That is tolerable for email drafts. It is not tolerable in a fiduciary environment. Keyway's agent orchestration layer, trained on thousands of CRE deals and tens of thousands of OMs, enforces consistency. 50,000 data points per asset, normalized in real time. The platform surfaces the delta between an OM's claimed comp set and what the market actually shows - along with a similarity score and a corrected set - in under two minutes. Firms that identify which workflow to hand to AI first will compress analysis cycles that currently consume senior analyst time.   Firms that keep waiting for a cleaner entry point will find their competitors have already moved on to the next workflow.

    49 min
  3. The CRE Sponsor Pulling Ahead on AI

    Jun 3

    The CRE Sponsor Pulling Ahead on AI

    Most CRE firms say they're using AI. What they mean is someone has a ChatGPT tab open.   Michael Episcope, co-CEO of Origin Investments, has spent the last six months actually embedding it - across every division, inside a secure enterprise layer, with dedicated integration staff and monthly data audits by department. Here is what he found: Lead with the opportunity: Clean data is a competitive asset. Origin is already running real-time portfolio queries in divisions where data is properly structured. The firms that treat the data audit as a priority project - before the AI layer - are the ones that will have that capability first. Lead with the capability: Real-time portfolio intelligence, firm-wide, in under 90 days. Portfolio data, cash flow statements, fundraising figures - all available to leadership on demand. Division heads freed to focus on what they were hired to do. The threat is not the technology - it is the competitor. Episcope told his team directly: AI won't replace you, but someone who knows AI and knows your job will. Origin is already hiring roles that did not exist four years ago. Firms that are not building this now are not just standing still. They are operating a business model that is five years old while the firm down the street runs 50 miles an hour faster. Episcope puts the early-mover window at 18 months to two years. After that, this is table stakes, not differentiation.   *** 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

    53 min
  4. How CRE Loan Brokers Automate Capital Markets

    May 27

    How CRE Loan Brokers Automate Capital Markets

    CRE brokerages have spent tens of thousands configuring Salesforce. Nobody uses it. The data is stale, the pipeline is fiction, and the analyst is entering last week's emails at 8pm to stay compliant.   Yaakov Zar, founder and CEO of Lev.com, has spent six years building a system to fix exactly that. AI-native deal management, not a retrofitted CRM. Lev ingests documents, extracts deal facts, resolves conflicts across sources, and surfaces a single source of truth - without manual data entry. The lender outreach problem is structural, not behavioral. Brokers don't fail to follow up because they're lazy; they fail because tracking 30 lender responses across email, Excel, and Salesforce is an analyst job that breaks at scale. Lev automates the intake, parsing, and quote matrix automatically. The platform is now open infrastructure. API, MCP connectors, and a CLI mean firms can build their own CRE operating system on top of Lev's deal data layer - rather than vibe-coding something that breaks under enterprise compliance requirements. Firms that keep running capital markets on spreadsheets are not just inefficient - they are building institutional knowledge in a format that walks out the door with every departing analyst. The structural advantage of organizations that systematize this data now will compound. For firms that wait, the gap will not close.   *** 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

    51 min
  5. 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
  6. 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
  7. 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
  8. 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
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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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