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AI for Real Estate

AI for Real Estate

By: 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: 213-761-1000Unless otherwise indicated, all images, content, designs, and recordings © 2025 GowerCrowd. All rights reserved. Economics Personal Finance
Episodes
  • Why Firm-Wide AI Beats Individual Tools

    Why Firm-Wide AI Beats Individual Tools
    Jun 23 2026
    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
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    48 mins
  • 91% of Real Estate Firms Know AI. 9% act.

    91% of Real Estate Firms Know AI. 9% act.
    Jun 16 2026
    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.
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    49 mins
  • The CRE Sponsor Pulling Ahead on AI

    The CRE Sponsor Pulling Ahead on AI
    Jun 3 2026
    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
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    53 mins
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