The AI Edge Podcast: CRE & AI

Student housing is different, your customer doesn’t have a job. When prices rise, it breaks the system. Charles Williams explains what’s actually broken and how to fix it.

Student housing is not broken because demand is low, it is broken because the economics do not work in the exact markets that need it most.

Charles Williams, CEO of Pioneer Realty Capital, explains why many developers avoid tertiary markets, why affordability pressure hits harder in student housing, and the overlooked reality that your customer often does not have a job.

We break down the supply and demand mechanics, what happens when universities cannot house students, and how housing insecurity becomes an education problem, then an economic problem.

Charles also walks through how public private partnerships can succeed, where they usually fail, and why alignment of incentives is the difference between a project that serves students and a project that becomes a long-term liability.

We cover the role of low-cost capital, the structure behind tax-exempt municipal bonds, and the operational guardrails that matter when you are building at scale.

Finally, we get into Project PRC, the nonprofit layer that creates a safety net for students and helps de-risk the platform, and why impact and returns do not have to be at odds if the model is built correctly.

Connect with Charles and learn more:
Project PRC: projectprc.org
PRC Equity Fund: prcequityfund.org

If you are underwriting deals the old way, you are burning hours on dead deals. Agostino Pintus, CIO at Day Street Capital, breaks down how they use AI to sift hundreds of net lease deals fast, keep judgment human, and build a repeatable investment machine.

Most investors do not lose because they cannot find deals, they lose because they waste time on the wrong ones.

In this episode of The AI Edge Podcast, I sit down with Agostino Pintus, Chief Information Officer at Day Street Capital. Agostino has led large enterprise IT teams, navigated tough turnarounds, and now he is building a modern, tech-enabled investment firm focused on single tenant net lease real estate.

We get into how AI is being used to accelerate deal screening and underwriting, why net lease can create predictable, risk-adjusted returns, and the real operating principles behind turning chaos into order.

We also cover partnerships, operating agreements, leadership, team dynamics, and the practical reality of using AI without replacing human judgment.

If you are an operator, investor, or decision maker who wants practical systems that scale, this episode will hit.

Connect with Agostino:
LinkedIn: Search “Agostino Pintus”

Subscribe for more conversations with founders, investors, and operators using systems, strategy, and smart tech to create real world results.

real estate investing, net lease, single tenant net lease, underwriting, deal screening, ai underwriting, commercial real estate, investment firm, capital markets, investor returns, real estate automation, real estate systems, CIO, operational leadership, turnaround, operating agreement, partnerships, due diligence, CRE

There’s a lot of hype in AI. But when AI starts acting like a coworker, it’s no longer hype, it’s real. In this episode, venture investor and industrial IoT builder Gregg Bauer breaks down what’s sustainable, what’s not, and where real operators will win in the next 3 to 5 years.

AI is everywhere, but most of it is not sustainable.

In this episode of The AI Edge Podcast, I sit down with Gregg Bauer, Managing Partner at Scale Up Labs and Co-Founder and Managing Partner of Spinnaker Venture Partners. Gregg has been building in the connected economy long before it was a buzzword, across industrial IoT, analytics, and real world AI systems.

We talk about the difference between AI hype and AI that actually creates outcomes, why “prompts on top of an LLM” is not a moat, and what happens when AI becomes a true virtual coworker inside a business.

We also unpack industrial use cases that create real ROI, like energy optimization with 20 to 25% efficiency gains, predictive maintenance using vibration sensors, and how founders and operators should think about AI native versus AI enabled businesses.

If you are an operator, investor, or founder who wants the real truth on AI in the physical economy, this one is for you.

Guest links:
Scale Up Labs: https://scaleuplabs.vc
LinkedIn: Search “Gregg Bauer” (Gregg with two Gs)

Subscribe for more conversations with founders, investors, and operators using systems, strategy, and smart tech to create real world results.

AI hype, AI coworker, industrial AI, industrial IoT, connected economy, predictive maintenance, energy optimization, venture capital, Scale Up Labs, Spinnaker Venture Partners, AI native, AI enabled, automation, smart manufacturing, generative AI, real estate AI, operations, founders, investors, enterprise innovation

Most founders are overestimating AI and underestimating trust, adoption, and distribution. That gap is where companies either scale or stall.

Wally Wang has built products, deployed capital, and evaluated hundreds of early stage teams. In this conversation, we strip away the hype and talk about what is actually working in AI, what is mostly noise, and how serious operators build companies that survive real markets.

In today’s AI hype cycle, storytellers get attention, builders create outcomes.

In this episode of The AI Edge Podcast, Louis Fernandes sits down with Wally Wang, Managing Partner at Scale Asia Ventures, a Silicon Valley based early stage venture firm focused on enterprise software and AI enabled vertical industries.

Wally has lived on both sides, operator and investor. He built real systems in product and data, worked in fraud detection and anti money laundering, then transitioned into venture to back founders building durable companies. We dig into how he evaluates teams, how cross border pattern recognition changes the way you see markets, and what is real in AI right now versus what is mostly noise.

We cover:

• How to recognize real entrepreneurial operators vs great storytellers
• What founders get wrong about AI, trust, adoption, compliance
• Cross border investing, US vs Asia, procurement, trust, distribution
• Why vertical AI is a powerful wedge
• The universal truths great companies share across markets
• What matters more now, speed, learning, execution, and what matters less, raising massive capital

Connect with Wally:

• LinkedIn, search “Wally Wang”
• Email, wally at sav (as shared in the episode)

Host:
Louis Fernandes, Co Founder, Edge Partners AI
The AI Edge Podcast, conversations with operators, founders, investors, and builders using systems and technology that hold up under pressure.

If you got value from this episode, share it with a founder, operator, or allocator who’s trying to separate signal from hype.

Subscribe for weekly operator level conversations.

AI, Artificial Intelligence, Venture Capital, VC, Startups, Entrepreneurship, Founders, Operators, Enterprise Software, Vertical AI, Automation, Business Systems, Go To Market, GTM, Fundraising, Investing, Cross Border Investing, US Asia, Pattern Recognition, Compliance, Trust, Adoption, Workflow Automation, Real Estate Podcast, The AI Edge Podcast, Louis Fernandes, Scale Asia Ventures, Wally Wang

#AI #VentureCapital #Entrepreneurship #Startups #EnterpriseAI

Most operators blame the market when a property underperforms.

Ken Doble has run 23,000 units, survived 2008, and says that 9 times out of 10, it’s people, process, and discipline.

And the next evolution? Digital employees that outperform human leasing agents.

In this episode of The AI Edge Podcast, Louis Fernandes sits down with Ken Doble, apartment investor and partner at Quantitative Realty Capital, to break down what actually drives performance in multifamily.

Ken started onsite managing 24 units and eventually oversaw 23,000 units across 11 states. He lived through the 2008 collapse, saw $1.5B in valuation shrink dramatically, and rebuilt his operating philosophy around discipline, reserves, and execution.

This is not theory. This is field-tested operations.

Inside this conversation:

• The 5 P’s of Property Management, People, Pricing, Product, Promotion, Process
• Why most owners misunderstand the “management gap”
• How incentives can instantly change performance
• The truth about revenue management and lost-to-lease
• What 2008 really taught operators about leverage and reserves
• The Lotto Principle in value-add investing
• How AI will create digital leasing agents that outperform humans
• Why most AI tools only remove headaches instead of driving revenue
• The coming death of SaaS as custom AI workflows emerge

Ken also breaks down where AI actually works in multifamily:

Collections workflows
Operational audits
Underwriting automation
Inspection systems
Digital employees

And where it still falls apart due to hallucinations, legal risk, and lack of context.

If you operate apartments, this episode will sharpen how you think about:

Execution
Capital structure
Operational discipline
Technology leverage
Leadership under pressure

Ken Doble is an apartment investor and operator and partner at Quantitative Realty Capital based in Atlanta. Over his career, he has been involved in more than 30,000 units and led over $233M in renovations.

He previously served as COO overseeing 23,000 units across 11 states and survived the 2008 collapse, rebuilding his investment philosophy around reserves, discipline, and operational execution.

• The management gap between corporate expectations and onsite reality
• Why 90 percent of underperformance traces back to people and process
• How incentives can triple leasing velocity instantly
• Why you cannot fix a bad market with operations alone
• The real mechanics of lost-to-lease
• Why capital stack mistakes kill good properties
• Digital employees will eventually replace leasing workflows
• AI is powerful, but hallucinations still create risk
• Discipline in boring basics wins cycles

Multifamily investing
Apartment operations
Property management systems
Real estate AI
Digital leasing agent
NOI growth strategies
Revenue management multifamily
Real estate underwriting
Value add apartments
Commercial real estate podcast

Investors are shifting, they do not just want syndicators anymore, they want vertically integrated platforms.

Steven Ludwig has lived that journey for 23 years, building a full stack platform across investing, property management, construction, materials, and lending.

In this episode we break down what vertical integration really costs, what it unlocks, and what can become a drag if you do it wrong.

Vertical integration sounds clean in a pitch deck, but in the real world it means people, projects, permits, capital, and constant execution pressure.

In this episode of The AI Edge Podcast, Louis Fernandes sits down with Steven Ludwig, Founder and CEO of Coastline Real Estate Advisors, to break down what it really takes to build a vertically integrated real estate platform and why investors are increasingly rewarding operators who control their execution.

Steven shares how the 2008 financial crisis exposed the weakness of relying on third party property management, why he built an in house platform as a lifeline through fee income, and how that decision expanded into construction and building materials to solve real operational problems like renovation cost visibility, supply chain delays, and inconsistent product specs across a portfolio.

This conversation is for operators, founders, and capital partners who want scale without chaos, and who understand that controlling cost, timing, and reporting becomes the game when markets tighten.

If you are thinking about building your own property management arm, launching in house construction, or integrating materials or lending, this episode gives you the real tradeoffs, where it works, where it fails, and what must be true before you add complexity.

Steven Ludwig is the Founder and CEO of Coastline Real Estate Advisors. Over more than 20 years, Steven has built a vertically integrated family of companies across multifamily and industrial value add investing, property management, construction execution, building materials, and lending.

His work is centered on delivering strong risk adjusted returns through tighter operational control, better cost visibility, and faster execution.

• Why 2008 pushed Steven from syndicator to full platform operator
• The real advantage of vertical integration, cost control and time control
• How in house property management created a fee income lifeline
• Why renovation cost tracking is broken in most operators’ models
• How material stockouts quietly destroy operations and consistency
• The hidden risk in vertical integration, spreading leadership too thin
• How investors evaluate alignment across multiple entities and fees
• What to focus on in operating agreements, especially when things go wrong
• Where AI is actually useful today, and where it is still mostly noise

Vertical integration real estate, multifamily operations, property management strategy, real estate private equity, real estate syndication, construction management, value add multifamily, family office investing, commercial real estate investing, investor reporting systems

If you got value from this episode, subscribe for more operator level conversations on scale, systems, and execution.
Comment below, are you building a vertically integrated platform, or staying lean and outsourcing
Want to map your workflows and identify leverage inside your operation, book a 20 minute working session with my team at Edge Partners AI here: https://calendly.com/edgepartnersai/ai-discovery-call

Mike Yantis has led over $2B in civil infrastructure and now develops land across Central Texas.
He breaks down what actually kills land deals, how to deliver lots on time, and how AI is changing land acquisition by turning weeks of engineering work into minutes.

Episode Description
Texas is still one of the most active growth markets in the country, but turning raw land into finished lots is getting harder, slower, and more expensive. In this episode of The AI Edge Podcast, Louis sits down with Mike Yantis, President and CEO of Yantis Land LLC, a third generation operator who has managed over $2 billion in civil infrastructure and scaled a major construction business from 180 employees to nearly 600.

Mike shares the real mechanics behind land development in the I-35 corridor, what makes a deal viable, and the fastest ways projects lose time or money, from utilities and entitlements to municipal rules and carry costs. He also explains how he structures deals today, owner, JV, or fee developer, and why patience and buying right matter more than chasing deals.

Then we go into AI, including the new tools Mike is using to evaluate land, pull zoning and utility data, and even generate early site plans in minutes. If you’re a developer, builder, landowner, or investor who wants a grounded look at how Texas land development works in the real world, this episode is for you.

Guest Intro
Today’s guest has helped shape the growth of Central Texas from the ground up. I’m joined by Mike Yantis, President and CEO of Yantis Land LLC.

Mike has managed over $2 billion in civil infrastructure projects across the region, including airports, military bases, DOT road work, industrial sites, commercial developments, and large scale subdivisions. As a leader at Yantis Company, he helped grow the business more than 200%, scaled the team from about 180 people to nearly 600, and drove major gains in profitability.

Today, Mike focuses on land development and fee development, delivering single family, build to rent, and manufactured housing opportunities for top builders across Texas. We break down what it really takes to move projects from raw dirt to finished lots, how to avoid the mistakes that destroy deals, and where AI is starting to change the land game.

What happens when real estate, climate aligned capital, and next generation infrastructure collide.
Anthony Sandoval breaks down the global shift toward regenerative development, and why data centers are becoming the backbone of the future.

Welcome back to The AI Edge Podcast, where we sit down with operators, investors, and builders shaping the future of real estate, capital, and the built world.

Today’s guest is Anthony Sandoval, Founder of Terra Firma Global Advisory, working at the intersection of regenerative real estate, impact finance, and large scale development across multiple regions. We talk eco communities, hospitality, longevity villages, climate aligned capital, and why data centers are becoming critical infrastructure for the AI era.

In this conversation, Anthony breaks down what is changing in global real estate, what sophisticated investors are looking for right now, how cross border execution really works, and why sustainability and profitability can, and should, scale together.

Topics we cover
• What regenerative real estate actually means, and why it is becoming a major shift
• Why nature, community, and remote work are reshaping demand globally
• Data centers, AI, robotics, and the infrastructure behind the next wave
• What family offices and institutional capital want today that they did not want five years ago
• Executing deals across borders, culture, speed, transparency, and risk
• The real drivers of returns in regenerative development
• Anthony’s long term vision, and what he believes the next decade looks like

Connect with Anthony
LinkedIn: Anthony Sandoval
Terra Firma: terrafermaglobal.com
Vesper Stone: vespastone.com

If you got value from this episode, subscribe to The AI Edge Podcast, and share it with one operator or investor who is thinking about the future of real estate and infrastructure.

Today’s guest is Anthony Sandoval, Founder of Terra Firma Global Advisory, focused on regenerative real estate and climate aligned capital, with active work spanning multiple markets and development themes, from eco communities and hospitality to next generation data center infrastructure.

Anthony brings a global perspective on where real estate demand is moving, how capital is shifting, and why the future is being built at the intersection of sustainability, execution, and infrastructure.

Most people only recognize the cycle after it hits them. Logan Freeman explains why he believes we are in the “winner’s curse” right now, what disciplined operators should do next, and how he’s selling CRE by launching deals like products, not just posting listings.

Description:
In this episode of The AI Edge Podcast, Louis Fernandes sits down with Logan Freeman, Managing Broker at Midwest Commercial Real Estate Advisors, also known as the KC CRE Guy. Logan is a broker, investor, and developer with $350M+ in executed transactions and a clear philosophy, he doesn’t just list commercial real estate, he launches it.

Logan breaks down how he reads real estate cycles in real time using the 18.6 year real estate cycle and Ricardo’s law of economic rent, why he believes we are currently in the winner’s curse, and what operators are underestimating heading into 2026.

We also dig into his Spotlight Strategy for marketing and selling CRE, how he builds organic demand through content and live deal launches, what changes in a soft leasing market, and where AI actually creates leverage in underwriting, positioning, and execution (including why Gamma has become a non negotiable tool in his workflow).

If you are a broker, owner, investor, or developer looking for a sharper framework to position assets and stay ahead of the market, this episode will help you think more clearly, move faster, and make better decisions through this cycle.

Guest, Logan Freeman (KC CRE Guy)
Managing Broker, Midwest Commercial Real Estate Advisors
Website: https://wcreadvisors.com
Email: [email protected]
Phone: 573-694-9669
LinkedIn: Logan Freeman (KC CRE Guy)

If you got value from this episode, send it to a broker or operator who is still treating listings like commodities when they should be engineering outcomes through positioning, leasing strategy, and execution.

Most STR operators break at 6 to 10 listings, not because the opportunity is gone, but because they never build the systems to get themselves out of the day to day. Vince Baiera went from ICU nurse to exiting a product business, then scaling Homehop past 100 properties and launching a real estate fund, all by leaning into execution, process, and practical AI.

In this episode of The AI Edge Podcast: CRE & AI, I sit down with Vince Baiera, Chief Growth Officer and co-owner of Homehop Property Management, real estate fund manager, entrepreneur, and bestselling author.

Vince has built across multiple industries, healthcare, SaaS, consumer products, and now short-term rentals, and he breaks down what actually creates scale when you move past the mom and pop phase.

We cover:

• Why most operators hit a wall at 6 to 10 listings, and what to build before you break
• The systems and SOP engine Homehop uses to manage 100 plus properties
• Where AI is real leverage vs pure hype, and how operators should evaluate new tools
• How Vince thinks about capital raising, LP trust, and what investors actually care about
• The mindset shift from fear to execution, including the phone skills that still win

If you are building operational leverage, scaling a portfolio, or trying to grow deal flow through systems, this one is for you.

My guest today is Vince Baiera, Chief Growth Officer and co-owner of Homehop Property Management, real estate fund manager, entrepreneur, and bestselling author.

Vince started as an ICU nurse, built and exited a consumer product company, worked in SaaS and go to market leadership, and now helps scale a short-term rental platform managing over 100 properties. This is a real operator conversation on systems, execution, and using AI as leverage, not noise.