WEBVTT

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You know, I was walking past a construction site

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the other day, one of those massive residential

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towers going up downtown. Yeah. And I stopped

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to watch for a second. It struck me how, well,

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how ancient it all looked. Ancient in what sense?

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I mean, they're using cranes and modern equipment.

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Oh, for sure. Yeah. But just the process. You

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know, you see mud, concrete, guys in hard hats

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shouting over this incredibly loud machinery.

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And there are still stacks of paper blueprints

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flapping in the wind. It felt so... Right. And

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then later that day, I went home to deal with

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my own lease renewal, which, I kid you not, involved

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printing out a PDF someone had emailed me, signing

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it with a wet ink pen. Ah, the classic wet signature.

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The actual wet signature. Then I had to scan

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it and email it back. It feels almost medieval

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in the age of the smartphone, doesn't it? It

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really does. And you've just hit on something

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fundamental. When most people think about real

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estate, traditional real estate, that's the image

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that comes to mind. It's dusty. It's slow. It

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involves a a frankly alarming amount of paperwork

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that let's be honest nobody actually reads because

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you just want the keys exactly just scroll the

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last page and sign it feels like this giant immovable

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brick and mortar beast that hasn't really changed

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its core processes since i don't know the victorian

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era that's a very common And, you know, for a

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long time, a historically accurate perception.

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The property industry was essentially the land

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that time forgot. It was deeply conservative.

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It was incredibly heavy on manual processes.

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And it viewed technology with a very healthy

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dose of suspicion. If it ain't broke. Don't fix

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it. Pretty much. If it wasn't broken and more

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importantly, if the rent checks were clearing,

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why would you change anything? Right. But the

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stack of research we have in front of us today

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suggests that this dinosaur is waking up. In

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fact, it suggests the dinosaur is currently learning

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to code and is, you know, sprinting. We're looking

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at an industry in total transition. Absolutely.

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We're looking at the disruption agent, the force

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that's causing all this change known as prop

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tech. PropTech. It sounds snappy. I like it.

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But before we get lost in the weeds of all this

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research, let's unpack that term. What exactly

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are we talking about when we say PropTech? At

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its core, PropTech, which is just short for property

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technology, is the application of information

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technology and, this is the key part, platform

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economics to the real estate industry. Platform

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economics. That sounds like a term straight out

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of a business school textbook. Can you translate

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that for me in the context of, say, buying a

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house or renting an office? Yeah, of course.

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Think of it this way. It's not just about putting

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a listing on a website. That's sort of PropTech

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1 .0. Platform economics is about creating these

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digital spaces, these marketplaces where producers

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and consumers can connect directly. So cutting

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out the middleman. In many cases, yes, or at

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least reducing the need for intermediaries. In

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real estate, it's about rewriting the fundamental

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rules of how we buy, sell, rent, design, construct,

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and manage the spaces where we live and work.

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It's about taking all that friction you felt

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with your lease renewal and just Smoothing it

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out. Making it disappear. And I noticed in the

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reading that there is a significant crossover

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with another tech sector we hear about constantly.

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Yes. FinTech or financial technology. You'll

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see a massive, massive overlap there. And that

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makes perfect sense. Because at the end of the

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day, for most people, real estate isn't just

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a building. It's the biggest financial transaction

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of their lives. Precisely. The two are completely

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intertwined. So things like online payment systems,

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digital mortgage applications, booking systems,

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crowdfunding for property development. That is

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the intersection where PropTech and FinTech sort

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of hold hands. So if you're using an app to pay

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your rent every month or. You go online and use

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an algorithm to get pre -approved for a mortgage

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in 10 minutes. You're standing right at that

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intersection. It's about digitizing the flow

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of money just as much as it's about digitizing

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the process of finding a place to live. So our

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mission for this deep dive seems pretty clear

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then. We want to see how these digital dashboards,

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artificial intelligence, the sharing economy,

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and even smart sensors are changing the game.

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We want to understand how we got here and, maybe

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more importantly, where all this money is flowing.

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But I want to start with the why. Why now? What

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is the core problem that PropTech is actually

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trying to solve? If you had to boil it all down

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to one single word, that word would be friction.

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Friction? Yes. Historically, the entire life

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cycle of residential real estate is just defined

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by friction. Think about the process of finding

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a home, say, 25 years ago. It was a nightmare.

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I remember my parents doing it. Driving around

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for hours on a Saturday looking for sale signs.

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Calling agents who never seemed to pick up. Waiting

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for someone to fax a listing sheet to you. Right.

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A blurry black and white fax. It was incredibly

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high effort. Then think about selling a home.

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Then financing that purchase. And then the closing

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process. My God, the closing. You're dealing

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with valuation, title searches, escrow accounts,

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title insurance. The stack of paper at the closing

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table is always an inch thick. At least. And

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then even once you actually own it or rent it,

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there's the ongoing management. A pipe bursts.

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The AC goes out. Every single one of those steps

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has traditionally been a major friction point.

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High effort, high cost, and very low transparency.

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It's so true. You usually have absolutely no

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idea what's happening in the black box of the

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transaction. You just get these cryptic updates

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and wait for a phone call from a lawyer saying

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it's done or, you know, the dreaded we have a

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problem. Exactly. And the primary goal of most

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real estate technology, especially on the residential

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side, is to grease those gears to reduce that

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friction. But it's not just residential. This

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extends to commercial real estate, construction,

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urban planning, everything. The sources we're

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looking at today. break PropTech down into five

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major pillars or categories, which is a really

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useful way to get a handle on it. Okay, let's

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walk through these pillars because I think this

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helps organize the chaos. The first one is something

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that sounds like it's straight out of a sci -fi

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movie. Smart buildings and IoT. And IoT is the

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Internet of Things. This is a huge and rapidly

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growing category. This is all about the physical

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hardware in a building and the software that

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talks to it. And we're not just talking about

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asking Alexa to turn on the lights in your living

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room, though that is, you know, the consumer

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edge of it. Right. This is on a much bigger scale,

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like a whole office tower or apartment complex.

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Exactly. In a commercial context or a large residential

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complex, this is all about operational efficiency.

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It's about monitoring the heartbeat of a building

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in real time. You have sensors on the HVCC that's

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heating, ventilation and air. You have sensors

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on the lighting, on the security systems, on

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water flow, on elevators, on environmental monitors.

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And what's the payoff there? Is it just a cool

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feature to tell investors about? Or is there

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a hard return on investors? Whoa, it's all about

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the money. I mean, it is cool, but it's about...

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Cutting costs. If you can monitor exactly how

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energy is being used, you can optimize it minute

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by minute. If you know that the east side of

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the building is getting blasted with sun at 8

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a .m., the building management system, the BMS,

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can automatically lower the blinds in just that

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zone and ramp up the AC there while turning it

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down on the shaded west side. So it's granular

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control instead of just blasting the AC for the

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whole building. Precisely. You stop wasting energy

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on empty rooms or floors. Over the life of a

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building, that adds up to millions of dollars.

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That makes total sense. But the notes also mention

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predictive maintenance. I love the sound of that.

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The idea of fixing things before they actually

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break. This is the real game changer for asset

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managers. It's a huge deal. Imagine a skyscraper

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with, say, 20 elevators. In the old days, you

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just waited for one to break. And it always breaks

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at 5 p .m. on a Friday with people inside. Always.

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It stalls between floors, trapping people. It's

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a crisis. Residents are angry. call the repair

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company, pay emergency rates, and that elevator

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is out of commission for three days. It's a nightmare

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scenario. The classic out -of -order sign taped

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to the door. Exactly. With IoT, you have sensors

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on the elevator motors. They're constantly monitoring

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vibration, heat, and speed. They can detect a

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slight anomaly, a wobble that a human would never

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feel, or a temperature spike of just two degrees.

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That is a known precursor to a specific type

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of failure. So the system knows the motor is

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getting sick before it has... any symptoms. That's

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a perfect way to put it. The system analyzes

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this trend data and generates a work order automatically.

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It says motor in elevator seven is showing signs

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of bearing fatigue. Schedule non -emergency maintenance

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within the next two weeks. So the elevator gets

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fixed at 2 a .m. on a Tuesday when no one is

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using it and a crisis is completely averted.

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Precisely. It shifts property management from

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being reactive, constantly putting out fires,

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to being proactive. And that saves a fortune

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in emergency repairs, but also in tenant retention.

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People get fed up with broken amenities and they

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leave. This helps keep them happy. Okay, that

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makes a ton of sense. Let's move to pillar number

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two, AI and data analytics. This feels like the

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buzzword of the century, but how does it actually

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apply to bricks and mortar? This is all about

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processing massive, and I mean truly massive,

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volumes of market data. Real estate as an industry

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generates a ton of data. But for decades, that

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data was locked away. It was in filing cabinets,

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disconnected spreadsheets, or simply inside the

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head of a local real estate agent who'd been

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in the business for 40 years. Right, that institutional

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knowledge. Exactly. AI allows us to synthesize

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all of that and much more at a scale and speed

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that's just impossible for a human. So give me

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a real world example of this that a listener

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might have actually encountered. The most common

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one for the average person is the AVM, the automated

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valuation model. Ah. Right. The Zestment. When

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you go to a website like Zillow or Redfin, you

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type in your address and it instantly spits out

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a number. Your house is worth $452 ,000. That's

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AI. And the early versions were pretty basic.

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They just looked at comparable sales in the area,

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square footage, number of beds and baths. And

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they were famously not always accurate. Famously

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inaccurate at times, yes. But they're getting

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much, much better. The newer models are using

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things like computer vision. Computer vision.

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Do you mean the AI looking at the photos of the

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house? Exactly. The AI scans the listing photos.

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It's been trained on millions of images. It can

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identify features and assess their quality. It

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can see, oh, that's a Viking range and a Sub

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-Zero fridge in the kitchen. Or those kitchen

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cabinets look like they're from 1985. Or that

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carpet is heavily worn. It can even analyze the

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text of the listing description for keywords.

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That is wild. So it's adjusting the valuation

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based on the actual condition and features of

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the property, not just the raw stats. Precisely.

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It's adding a layer of qualitative analysis that

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previously required a human appraiser to physically

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walk through the house. So it's basically a super

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brain for figuring out what stuff is worth. And

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it's not just for buying and selling. It's used

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for rental price forecasting, telling a landlord

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exactly what they should charge to minimize vacancy

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days. for sophisticated tenant screening, looking

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at more than just a credit score. And for the

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big players, the huge investment funds, it's

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used for portfolio optimization. So instead of

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just a gut feeling that, I don't know, Austin's

00:11:14.340 --> 00:11:16.759
getting hot, they have data points showing migration

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patterns, job growth statistics, and building

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permits before the prices even spike. Exactly.

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The AI can identify emerging markets or sub -markets

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right down to the neighborhood level that humans

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might risk. It removes the guesswork and the

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emotion. Okay, let's move to Pillar 3. This one

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sounds a little less sexy, but I have a feeling

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it's the engine room of the industry. management

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and operations platforms. It might not make the

00:11:41.500 --> 00:11:44.080
headlines like AI does, but you are spot on.

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This is the back office revolution. This is where

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the actual day -to -day work gets done. We're

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talking about cloud -based software as a service

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or SAAS, platforms for lease administration,

00:11:55.159 --> 00:11:57.340
maintenance requests, accounting, and tenant

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communication. So basically getting rid of all

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the filing cabinets and sticky notes. Completely.

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This is for landlords, asset managers, and corporate

00:12:04.580 --> 00:12:06.820
real estate managers. It's all about creating

00:12:06.820 --> 00:12:09.799
transparency. and a seamless workflow. Think

00:12:09.799 --> 00:12:12.759
about the old way. A tenant has a leaky faucet.

00:12:12.799 --> 00:12:14.960
They call the landlord's office. Maybe they get

00:12:14.960 --> 00:12:17.480
an answering machine, leave a voicemail. The

00:12:17.480 --> 00:12:19.759
property manager listens to it later, writes

00:12:19.759 --> 00:12:22.179
the details on a sticky note. That sticky note

00:12:22.179 --> 00:12:25.039
gets lost under a pile of papers. Maybe they

00:12:25.039 --> 00:12:27.879
call a plumber a day later. The plumber sends

00:12:27.879 --> 00:12:30.779
a paper invoice three weeks after the job. It's

00:12:30.779 --> 00:12:33.019
a mess. And meanwhile, the tenant is furious

00:12:33.019 --> 00:12:35.559
and the water damage under the sink is getting

00:12:35.559 --> 00:12:38.679
worse and worse. Exactly. With these new platforms,

00:12:38.980 --> 00:12:41.460
the tenant opens an app on their phone. They

00:12:41.460 --> 00:12:43.600
snap a photo of the leak, maybe add a quick note

00:12:43.600 --> 00:12:46.480
and hit submit. The system automatically reads

00:12:46.480 --> 00:12:49.700
it, categorizes it as a medium priority plumbing

00:12:49.700 --> 00:12:52.539
issue and routes the work order to the company's

00:12:52.539 --> 00:12:54.779
approved plumber. And the plumber gets a notification

00:12:54.779 --> 00:12:57.320
on their phone. Instantly. The plumber can accept

00:12:57.320 --> 00:12:59.240
the job on their phone. The tenant then gets

00:12:59.240 --> 00:13:02.059
an automatic notification. Mario the plumber

00:13:02.059 --> 00:13:04.500
is scheduled to arrive between 2 and 4 p .m.

00:13:04.500 --> 00:13:07.779
tomorrow. When the job is done, Mario marks it

00:13:07.779 --> 00:13:10.220
complete, maybe uploads a photo of the repair

00:13:10.220 --> 00:13:12.940
and the invoice is generated digitally and flows

00:13:12.940 --> 00:13:15.220
right into the landlord's accounting software.

00:13:15.500 --> 00:13:17.320
I can see how that connects directly back to

00:13:17.320 --> 00:13:19.919
that friction point. If you're a landlord with

00:13:19.919 --> 00:13:23.179
500 units, doing that old process on paper is

00:13:23.179 --> 00:13:26.620
just impossible to scale. It's pure chaos. With

00:13:26.620 --> 00:13:29.100
these platforms, it's a single dashboard. The

00:13:29.100 --> 00:13:31.440
landlord can see their entire portfolio's health

00:13:31.440 --> 00:13:34.399
in real time, who has paid rent, what maintenance

00:13:34.399 --> 00:13:36.919
is outstanding, what leases are expiring next

00:13:36.919 --> 00:13:40.299
month, all on one screen. It allows one person

00:13:40.299 --> 00:13:42.379
to manage a portfolio that used to require a

00:13:42.379 --> 00:13:44.840
team of five. It scales the ability to manage

00:13:44.840 --> 00:13:46.899
property efficiently. All right, pillar number

00:13:46.899 --> 00:13:48.960
four. This is the one I think we're all most

00:13:48.960 --> 00:13:52.159
familiar with. Digital marketplaces. Yes, this

00:13:52.159 --> 00:13:54.820
is absolutely the most visible consumer facing

00:13:54.820 --> 00:13:58.100
side of prop tech. The online portals, the listing

00:13:58.100 --> 00:14:00.919
services. The Zillows, the Redfins, the right

00:14:00.919 --> 00:14:02.980
moves of the world. Correct. These platforms

00:14:02.980 --> 00:14:05.279
fundamentally revolutionized the search function.

00:14:05.600 --> 00:14:07.799
Before these existed, if you wanted to know what

00:14:07.799 --> 00:14:09.980
houses were for sale in your town, you had to

00:14:09.980 --> 00:14:11.539
call a real estate agent or look in the newspaper.

00:14:12.080 --> 00:14:14.379
There was a gatekeeper. Information asymmetry

00:14:14.379 --> 00:14:16.519
was the entire business model. I remember looking

00:14:16.519 --> 00:14:18.720
at newspaper listings with my parents. You'd

00:14:18.720 --> 00:14:21.980
get one tiny grainy black and white photo and

00:14:21.980 --> 00:14:24.759
a three line description. Charming fixer upper

00:14:24.759 --> 00:14:27.980
with potential. Which was code for dilapidated

00:14:27.980 --> 00:14:30.840
shack that needs to be torn down. And you had

00:14:30.840 --> 00:14:33.580
no idea if the price was fair because you couldn't

00:14:33.580 --> 00:14:35.460
easily see what the house down the street sold

00:14:35.460 --> 00:14:38.820
for six months ago. That data was locked away

00:14:38.820 --> 00:14:41.720
in the multiple listing service, the MLS, which

00:14:41.720 --> 00:14:44.759
only agents could access. So the agent held all

00:14:44.759 --> 00:14:47.820
the power. Completely. Digital marketplaces broke

00:14:47.820 --> 00:14:49.779
that open. They brought transparent pricing,

00:14:50.120 --> 00:14:52.519
extensive photo galleries, virtual tours, school

00:14:52.519 --> 00:14:54.759
ratings, crime maps, and real -time engagement.

00:14:55.080 --> 00:14:57.500
They leveled the playing field between the buyer

00:14:57.500 --> 00:14:59.759
and the seller. It really empowered the consumer.

00:14:59.840 --> 00:15:01.720
You can sit on your couch at midnight and browse

00:15:01.720 --> 00:15:04.100
homes in a city a thousand miles away. You can

00:15:04.100 --> 00:15:06.019
become a local expert before you even talk to

00:15:06.019 --> 00:15:09.059
an agent. Exactly. It decoupled the search process

00:15:09.059 --> 00:15:11.139
from the physical location of the buyer and the

00:15:11.139 --> 00:15:13.740
agent. It was a monumental shift. And finally,

00:15:13.840 --> 00:15:17.620
pillar number five. This one feels very, very

00:15:17.620 --> 00:15:21.059
current given the global focus on climate. Green

00:15:21.059 --> 00:15:24.220
prop tech. Sustainability. Yes, this is becoming

00:15:24.220 --> 00:15:26.620
a massive driver in the industry, especially

00:15:26.620 --> 00:15:29.740
in commercial real estate. Green prop tech involves

00:15:29.740 --> 00:15:33.019
everything from energy management software to

00:15:33.019 --> 00:15:38.179
tools for ESG reporting. And ESG is environmental,

00:15:38.519 --> 00:15:41.620
social, and governance. Correct. It's a framework

00:15:41.620 --> 00:15:45.039
for evaluating a company's or a building's broader

00:15:45.039 --> 00:15:47.940
impact. What's driving that? Is it just tenants

00:15:47.940 --> 00:15:50.340
wanting to be eco -friendly, or is there a bigger

00:15:50.340 --> 00:15:52.879
hammer behind it? It's both. But the hammer is

00:15:52.879 --> 00:15:55.399
getting much, much bigger. Regulatory requirements

00:15:55.399 --> 00:15:58.399
are tightening everywhere. Cities like New York,

00:15:58.480 --> 00:16:01.659
with Local Law 97, and London are passing very

00:16:01.659 --> 00:16:04.179
strict laws that will heavily fine building owners

00:16:04.179 --> 00:16:06.159
if they don't reduce their carbon footprints

00:16:06.159 --> 00:16:08.360
and improve their energy efficiency. So it's

00:16:08.360 --> 00:16:10.419
about compliance. If you don't comply, you pay.

00:16:10.639 --> 00:16:12.580
It starts with compliance, but it's quickly becoming

00:16:12.580 --> 00:16:15.000
about value. We're seeing what the industry calls

00:16:15.000 --> 00:16:17.899
a brown discount emerging in the market. An old,

00:16:17.919 --> 00:16:20.179
inefficient billing might sell for less because

00:16:20.179 --> 00:16:21.980
the buyer knows they'll have to spend millions

00:16:21.980 --> 00:16:24.259
upgrading it to meet future regulations. And

00:16:24.259 --> 00:16:27.519
the opposite is a green premium. Exactly. A building

00:16:27.519 --> 00:16:30.360
that is LED certified or has a high energy efficiency

00:16:30.360 --> 00:16:33.299
rating can command higher rents and a higher

00:16:33.299 --> 00:16:36.700
sale price. And green prop tech provides the

00:16:36.700 --> 00:16:39.659
tools to measure that consumption, report it

00:16:39.659 --> 00:16:42.460
to regulators and identify the most cost effective

00:16:42.460 --> 00:16:45.100
ways to reduce it. It provides the proof. So

00:16:45.100 --> 00:16:46.600
if you have the data to prove your building is

00:16:46.600 --> 00:16:49.399
green, it's literally worth more money. The tech

00:16:49.399 --> 00:16:52.320
makes the invisible. That's a great way of putting

00:16:52.320 --> 00:16:55.080
it. It turns energy efficiency from a vague concept

00:16:55.080 --> 00:16:57.710
into a hard number on a balance sheet. So we

00:16:57.710 --> 00:16:59.870
have these five pillars, smart buildings with

00:16:59.870 --> 00:17:03.470
IoT, AI, and data analytics, management platforms,

00:17:03.830 --> 00:17:06.650
digital marketplaces, and green tech. It feels

00:17:06.650 --> 00:17:08.609
like a really robust ecosystem now, but as you

00:17:08.609 --> 00:17:10.789
said, it didn't just appear overnight. No, not

00:17:10.789 --> 00:17:12.549
at all. And this is where it gets really interesting.

00:17:12.730 --> 00:17:14.809
To understand where we are now, we have to look

00:17:14.809 --> 00:17:16.930
at the timeline. The sources we're looking at

00:17:16.930 --> 00:17:18.529
divide the history of real estate technology

00:17:18.529 --> 00:17:21.109
into three distinct stages. I love a good timeline.

00:17:21.690 --> 00:17:23.269
Take us back. Where does this story actually

00:17:23.269 --> 00:17:26.029
start? We have to go back to the 1980s, stage

00:17:26.029 --> 00:17:29.589
one, the PC era, which runs from about 1980 to

00:17:29.589 --> 00:17:33.230
2000. The era of the giant beige desktop computer,

00:17:33.410 --> 00:17:38.150
the floppy disk, and very questionable fashion

00:17:38.150 --> 00:17:40.549
choices. And crucially for real estate, the era

00:17:40.549 --> 00:17:43.230
of the spreadsheet. When personal computing became

00:17:43.230 --> 00:17:46.410
common in offices and software like Lotus 1 -2

00:17:46.410 --> 00:17:49.390
-3 and then Microsoft Excel was introduced, it

00:17:49.390 --> 00:17:52.329
was a quiet but profound game changer for commercial

00:17:52.329 --> 00:17:54.849
real estate companies. It sounds funny to think

00:17:54.849 --> 00:17:57.490
of Excel as disruptive tech, but I guess before

00:17:57.490 --> 00:17:59.329
that, everything was done on ledger books with

00:17:59.329 --> 00:18:02.130
calculators. Exactly. Imagine you're an analyst

00:18:02.130 --> 00:18:05.160
trying to calculate the internal rate of... return,

00:18:05.240 --> 00:18:08.279
the IRR, on a 30 -year commercial mortgage by

00:18:08.279 --> 00:18:11.180
hand. You have to account for variable rent increases,

00:18:11.480 --> 00:18:14.240
expense inflation, changing tax laws, depreciation

00:18:14.240 --> 00:18:16.779
schedules. It's incredibly complex. And if you

00:18:16.779 --> 00:18:19.019
wanted to change one variable, like what if interest

00:18:19.019 --> 00:18:21.019
rates go up by half a percent? You had to start

00:18:21.019 --> 00:18:23.200
over. You had to recalculate the entire ledger

00:18:23.200 --> 00:18:26.259
by hand. It would take hours, maybe days. So

00:18:26.259 --> 00:18:28.099
you just didn't do it. You couldn't really model

00:18:28.099 --> 00:18:30.119
different scenarios. You just had to pick a path

00:18:30.119 --> 00:18:32.200
and hope for the best. Or you kept the deals

00:18:32.200 --> 00:18:35.609
incredibly simple. Precisely. Excel allowed for

00:18:35.609 --> 00:18:38.710
instant what -if analysis. You change one cell

00:18:38.710 --> 00:18:41.289
and the entire financial model updates instantly.

00:18:41.849 --> 00:18:44.549
This allowed investors to become much more sophisticated

00:18:44.549 --> 00:18:47.170
in how they structure deals. It let them manage

00:18:47.170 --> 00:18:50.690
larger, more complex portfolios. It wasn't flashy

00:18:50.690 --> 00:18:54.089
consumer tech, but it was the first step in digitizing

00:18:54.089 --> 00:18:56.549
the math behind the real estate industry. So

00:18:56.549 --> 00:18:58.990
the 80s and 90s were all about digitizing the

00:18:58.990 --> 00:19:01.390
back office math. Then we hit the year 2000,

00:19:01.670 --> 00:19:04.670
stage two. We enter the dot -com shift. This

00:19:04.670 --> 00:19:08.009
ran roughly from 2000 to 2008. This is the period

00:19:08.009 --> 00:19:10.029
when the internet transitions from a niche academic

00:19:10.029 --> 00:19:13.430
tool to a household utility. And we saw the great

00:19:13.430 --> 00:19:15.990
migration from print to digital media across

00:19:15.990 --> 00:19:18.809
every industry. Right. In real estate, this is

00:19:18.809 --> 00:19:21.029
when companies started targeting consumers directly

00:19:21.029 --> 00:19:23.869
with online listings. The absolute dominance

00:19:23.869 --> 00:19:26.630
of the newspaper listing died in this era. We

00:19:26.630 --> 00:19:28.809
saw the first wave of companies putting property

00:19:28.809 --> 00:19:30.730
listings online. You didn't have to wait for

00:19:30.730 --> 00:19:32.769
the Sunday paper anymore. But the Internet back

00:19:32.769 --> 00:19:35.910
then was still, well, let's call it Web 1 .0.

00:19:35.950 --> 00:19:37.990
It was pretty static, wasn't it? You could see

00:19:37.990 --> 00:19:39.890
a list, but you couldn't do much with it. It

00:19:39.890 --> 00:19:42.269
was very much brochureware. You saw a few pictures

00:19:42.269 --> 00:19:43.869
and a phone number. You still had to pick up

00:19:43.869 --> 00:19:46.690
the phone and call. The user experience was clunky.

00:19:47.289 --> 00:19:49.809
But it was the critical first step in breaking

00:19:49.809 --> 00:19:51.750
down that information barrier we talked about.

00:19:51.950 --> 00:19:54.630
Which leads us directly to stage three, the high

00:19:54.630 --> 00:19:57.490
-speed era, starting around 2008 and continuing

00:19:57.490 --> 00:20:00.230
to the present day. What changed? What was the

00:20:00.230 --> 00:20:02.769
big enabler? Well, a couple of things, really.

00:20:02.890 --> 00:20:05.609
But the main technological drivers were bandwidth

00:20:05.609 --> 00:20:08.720
and mobile. the widespread availability of high

00:20:08.720 --> 00:20:10.559
-speed internet, and the launch of the iPhone

00:20:10.559 --> 00:20:13.480
in 2007. Right. Suddenly you had competing power

00:20:13.480 --> 00:20:15.759
and an internet connection in your pocket. And

00:20:15.759 --> 00:20:18.059
that allowed for the cloud migration. Services

00:20:18.059 --> 00:20:20.660
and data could move fully online and be accessed

00:20:20.660 --> 00:20:23.259
from anywhere. This is when a company like Zillow

00:20:23.259 --> 00:20:25.180
really took off. They weren't just putting a

00:20:25.180 --> 00:20:27.140
list of properties online. They were layering

00:20:27.140 --> 00:20:29.960
it onto interactive maps. They were moving geographic

00:20:29.960 --> 00:20:33.420
data, valuations, tax records, and advice onto

00:20:33.420 --> 00:20:35.500
the web. You weren't just looking at a list.

00:20:35.599 --> 00:20:38.420
You were exploring a dynamic, data -rich environment.

00:20:38.799 --> 00:20:41.079
And this era also gave birth to something else

00:20:41.079 --> 00:20:42.920
that's mentioned in the source material, the

00:20:42.920 --> 00:20:46.660
sharing economy. Yes. This is a critical cultural

00:20:46.660 --> 00:20:49.380
and economic shift that ran parallel to the tech

00:20:49.380 --> 00:20:52.559
improvements. Platform economics allowed property

00:20:52.559 --> 00:20:54.680
owners to monetize their assets in a completely

00:20:54.680 --> 00:20:56.920
new way. We're talking about the rise of Airbnb

00:20:56.920 --> 00:21:00.500
and WeWork here, right? Precisely. Before this...

00:21:00.750 --> 00:21:02.930
A house was a place you lived in or a place you

00:21:02.930 --> 00:21:05.890
rented out on a long term one year lease. It

00:21:05.890 --> 00:21:09.430
was a binary state, occupied or vacant. Airbnb

00:21:09.430 --> 00:21:11.690
came along and said, no, this is a flexible asset

00:21:11.690 --> 00:21:13.470
you can rent out for three days while you're

00:21:13.470 --> 00:21:15.609
out of town. It fractionalized the use of the

00:21:15.609 --> 00:21:18.250
asset. Exactly. We worked at the same for office

00:21:18.250 --> 00:21:20.609
space. Instead of signing a 10 -year lease for

00:21:20.609 --> 00:21:23.349
an entire floor, a startup could rent three desks

00:21:23.349 --> 00:21:26.150
for a month. It turned real estate from a fixed,

00:21:26.269 --> 00:21:29.309
long -term asset into a flexible, on -demand

00:21:29.309 --> 00:21:31.750
service. That is such a fundamental shift. Space

00:21:31.750 --> 00:21:33.950
as a service. It's not just a piece of technology.

00:21:34.369 --> 00:21:37.150
It's a complete change in mindset about what

00:21:37.150 --> 00:21:40.049
ownership and utilization mean. It is. It's all

00:21:40.049 --> 00:21:43.049
about utilization. A spare bedroom is empty most

00:21:43.049 --> 00:21:45.170
of the year. A house is empty when the owner

00:21:45.170 --> 00:21:48.460
is on vacation. That's wasted capacity. Airbnb

00:21:48.460 --> 00:21:51.299
created a platform to unlock that capacity. It

00:21:51.299 --> 00:21:53.619
made the asset more productive. And that required

00:21:53.619 --> 00:21:56.839
incredibly sophisticated tech to handle the bookings,

00:21:56.859 --> 00:21:59.059
the payments, the reviews, the insurance, and

00:21:59.059 --> 00:22:01.079
the trust verification. And that productivity,

00:22:01.279 --> 00:22:04.640
that unlocking of value that attracts attention.

00:22:04.960 --> 00:22:06.839
And by attention, I mean money. I was looking

00:22:06.839 --> 00:22:08.359
at these investment numbers in our notes, and

00:22:08.359 --> 00:22:10.369
they are genuinely staggering. They really are.

00:22:10.450 --> 00:22:12.609
If you follow the money, you can see exactly

00:22:12.609 --> 00:22:15.430
when this sector went from a niche interest to

00:22:15.430 --> 00:22:18.450
a major focus for venture capital. The 2010s

00:22:18.450 --> 00:22:20.609
were the golden age for prop tech startups. OK,

00:22:20.670 --> 00:22:22.470
so give us the highlights. Let's trace the explosion.

00:22:22.769 --> 00:22:24.970
Let's look at 2015 as a key inflection point.

00:22:25.089 --> 00:22:28.150
In that year alone, investors poured $1 .7 billion

00:22:28.150 --> 00:22:32.470
into the sector across about 190 deals. $1 .7

00:22:32.470 --> 00:22:34.970
billion. That's a lot of money. But in the grand

00:22:34.970 --> 00:22:37.069
scheme of Silicon Valley, is it a huge number?

00:22:37.289 --> 00:22:40.130
It's the growth rate that tells the story. That

00:22:40.130 --> 00:22:42.829
2015 figure was a 50 % increase from the year

00:22:42.829 --> 00:22:45.390
before. But here's the crazy part. Compared to

00:22:45.390 --> 00:22:49.109
the funding levels in 2011, it was an 821 % increase.

00:22:49.390 --> 00:22:51.970
Wow. Okay, so in four years, funding went up

00:22:51.970 --> 00:22:54.390
more than 800%. That's not just growth. That's

00:22:54.390 --> 00:22:57.069
a rocket ship. And it didn't stop there. It accelerated.

00:22:57.410 --> 00:23:00.970
By 2017, global environment reached $8 .5 billion.

00:23:01.349 --> 00:23:04.170
But then look at 2019. In just the first six

00:23:04.170 --> 00:23:08.170
months of 2019, VC funding hit $12 .9 billion.

00:23:08.730 --> 00:23:10.869
Wait, say that again? In six months of 2019,

00:23:11.309 --> 00:23:13.529
they raised more than the entire record -breaking

00:23:13.529 --> 00:23:16.269
year of 2017. Exactly. It was an absolute gold

00:23:16.269 --> 00:23:18.690
rush. VCs and investors finally realized that

00:23:18.690 --> 00:23:20.509
real estate is the largest asset class in the

00:23:20.509 --> 00:23:22.890
world. We are talking about hundreds of trillions

00:23:22.890 --> 00:23:25.970
of dollars globally, and it was severely underdigitized.

00:23:26.089 --> 00:23:28.509
The potential for efficiency gains, and therefore

00:23:28.509 --> 00:23:31.549
profit, was just astronomical. They saw it as

00:23:31.549 --> 00:23:33.289
the last great frontier. tier for tech disruption.

00:23:33.589 --> 00:23:35.329
But then, of course, the world hit a giant wall.

00:23:35.569 --> 00:23:38.730
2020, the COVID -19 pandemic. How did that impact

00:23:38.730 --> 00:23:41.170
this rocket ship? Did it crash it or did it somehow

00:23:41.170 --> 00:23:44.640
add more fuel? It acted as a massive and I would

00:23:44.640 --> 00:23:47.519
say painful catalyst. It jolted management companies

00:23:47.519 --> 00:23:50.700
and landlords out of their business as usual

00:23:50.700 --> 00:23:53.680
mindset. I can imagine. Suddenly you literally

00:23:53.680 --> 00:23:56.039
can't do in -person viewings. You can't pass

00:23:56.039 --> 00:23:58.200
physical papers back and forth for signatures.

00:23:58.500 --> 00:24:00.920
Your entire business model is broken overnight.

00:24:01.220 --> 00:24:03.140
Right. If you didn't have a digital solution

00:24:03.140 --> 00:24:06.119
in place, you were dead in the water. The pandemic

00:24:06.119 --> 00:24:09.539
forced the laggards to adopt technology. It accelerated

00:24:09.539 --> 00:24:12.259
the adoption of IT solutions for remote management

00:24:12.259 --> 00:24:14.900
and closing deals without any physical presence.

00:24:15.099 --> 00:24:17.759
Things like digital notaries, virtual 3D tours.

00:24:17.900 --> 00:24:20.140
These went from being nice to have gimmicks to

00:24:20.140 --> 00:24:22.440
business -critical tools overnight. I remember

00:24:22.440 --> 00:24:24.579
looking for an apartment online during the pandemic.

00:24:24.799 --> 00:24:27.779
The 3D tours got incredibly good really fast.

00:24:27.880 --> 00:24:29.759
You could walk through the entire space on your

00:24:29.759 --> 00:24:32.579
screen, even measure the walls. Exactly. Companies

00:24:32.579 --> 00:24:34.500
like Matterport, which creates those virtual

00:24:34.500 --> 00:24:38.190
tours, And on the commercial side, the impact

00:24:38.190 --> 00:24:40.970
was even more profound and complex. The pandemic

00:24:40.970 --> 00:24:44.009
turbocharged e -commerce, which absolutely crushed

00:24:44.009 --> 00:24:46.769
traditional retail. That had a huge impact on

00:24:46.769 --> 00:24:49.269
commercial real estate valuations. And then there's

00:24:49.269 --> 00:24:52.410
the whole work from home phenomenon. The death

00:24:52.410 --> 00:24:55.630
of the office narrative. It forced office managers

00:24:55.630 --> 00:24:58.279
to rethink. Everything. They had to start thinking

00:24:58.279 --> 00:25:00.779
about things like air quality, occupancy tracking,

00:25:00.960 --> 00:25:03.859
and flexible socially distanced space. Right,

00:25:03.940 --> 00:25:05.680
because nobody wanted to touch a button in an

00:25:05.680 --> 00:25:08.920
elevator or sit in a crowded room breathing stale

00:25:08.920 --> 00:25:12.420
air. Exactly. All those smart building IoT technologies

00:25:12.420 --> 00:25:14.859
we talked about earlier, they suddenly became

00:25:14.859 --> 00:25:17.599
health and safety features. If you could tell

00:25:17.599 --> 00:25:20.079
your corporate tenants, we have sensors monitoring

00:25:20.079 --> 00:25:23.039
air quality in real time, and we've optimized

00:25:23.039 --> 00:25:25.900
the HVAC system for maximum fresh air exchange.

00:25:25.930 --> 00:25:28.609
that became a critical selling point to get people

00:25:28.609 --> 00:25:31.410
to feel safe coming back to the office. It shifted

00:25:31.410 --> 00:25:35.109
the value proposition from efficiency to well

00:25:35.109 --> 00:25:37.450
-being. So we have the history, we have the money,

00:25:37.490 --> 00:25:40.130
we have this massive pandemic acceleration. But

00:25:40.130 --> 00:25:41.769
I want to talk about what's happening right now

00:25:41.769 --> 00:25:43.910
at the cutting edge, because the sources mention

00:25:43.910 --> 00:25:45.910
some things that still sound very futuristic,

00:25:46.089 --> 00:25:48.809
but are actually being implemented today. One

00:25:48.809 --> 00:25:52.210
of the most intriguing and honestly most hyped

00:25:52.210 --> 00:25:55.089
areas is the use of blockchain in real estate.

00:25:55.549 --> 00:25:58.390
Now, when people hear blockchain, their mind

00:25:58.390 --> 00:26:00.589
immediately goes to Bitcoin and cryptocurrency.

00:26:01.630 --> 00:26:03.950
But we're not necessarily talking about buying

00:26:03.950 --> 00:26:06.089
a house with crypto here. No, although that does

00:26:06.089 --> 00:26:08.450
happen in some niche cases. We're talking about

00:26:08.450 --> 00:26:12.150
the underlying technology, the distributed immutable

00:26:12.150 --> 00:26:15.650
ledger. In real estate, blockchain is being explored

00:26:15.650 --> 00:26:19.049
for two main things, land registration and tracking

00:26:19.049 --> 00:26:21.349
property ownership. Why do we need that? I mean,

00:26:21.369 --> 00:26:23.029
isn't the county clerk's office with their big

00:26:23.029 --> 00:26:25.150
book of deeds good enough? In many developed

00:26:25.150 --> 00:26:27.710
countries, yes, it works, though it's incredibly

00:26:27.710 --> 00:26:30.789
slow and paper -based. Think about the process

00:26:30.789 --> 00:26:33.710
of a title search. When you buy a house, you

00:26:33.710 --> 00:26:35.809
pay a title company hundreds or thousands of

00:26:35.809 --> 00:26:37.890
dollars to send someone to dig through 50 or

00:26:37.890 --> 00:26:40.569
100 years of dusty records to make sure the person

00:26:40.569 --> 00:26:42.369
selling it actually owns it and that there are

00:26:42.369 --> 00:26:44.579
no liens against it. And that can take weeks

00:26:44.579 --> 00:26:47.079
and is a major bottleneck in the closing process.

00:26:47.339 --> 00:26:50.720
Exactly. If the title, the deed is tokenized

00:26:50.720 --> 00:26:53.140
and recorded on a blockchain, it creates a secure,

00:26:53.259 --> 00:26:55.759
immutable and instantly verifiable record of

00:26:55.759 --> 00:26:58.450
ownership. You could theoretically confirm the

00:26:58.450 --> 00:27:01.430
title in seconds, not weeks. So it's about trust,

00:27:01.509 --> 00:27:05.069
speed and cost reduction. Yes. And in the developing

00:27:05.069 --> 00:27:07.289
world, this isn't just an efficiency game. It's

00:27:07.289 --> 00:27:10.089
revolutionary. The economist Hernando de Soto

00:27:10.089 --> 00:27:13.130
talks about the concept of dead capital. There

00:27:13.130 --> 00:27:15.710
are trillions of dollars in assets held by people

00:27:15.710 --> 00:27:18.269
in developing nations. They live on land, they've

00:27:18.269 --> 00:27:21.609
built houses, but they have no formal legal paper

00:27:21.609 --> 00:27:24.269
proving they own it. So they can't use that asset.

00:27:24.720 --> 00:27:26.700
They can't get a loan against it to start a business

00:27:26.700 --> 00:27:29.720
or pay for education or improve their home. Exactly.

00:27:29.900 --> 00:27:33.119
It's capital, but it's dead. Blockchain provides

00:27:33.119 --> 00:27:36.579
a potentially secure, cheap, and incorruptible

00:27:36.579 --> 00:27:39.559
way to create and formalize these property records.

00:27:39.819 --> 00:27:42.279
It can empower billions of people to enter the

00:27:42.279 --> 00:27:45.000
formal financial system. It's an economic empowerment

00:27:45.000 --> 00:27:48.339
tool on a massive scale. That is a huge potential

00:27:48.339 --> 00:27:51.099
impact. It's way more important than just making

00:27:51.099 --> 00:27:53.539
the closing process a few weeks faster for a

00:27:53.539 --> 00:27:55.039
suburban homebuyer, though I'm sure they'd appreciate

00:27:55.039 --> 00:27:58.359
it too. Absolutely. Now, another really interesting

00:27:58.359 --> 00:28:00.579
trend mentioned in the sources is the growing

00:28:00.579 --> 00:28:03.299
involvement of government. Usually, we think

00:28:03.299 --> 00:28:06.279
of tech as the private sector running wild, but

00:28:06.279 --> 00:28:08.619
the sources highlight the UK government specifically

00:28:08.619 --> 00:28:11.500
getting involved. Yes, this is a fascinating

00:28:11.500 --> 00:28:14.400
shift. PropTech isn't just for profit -seeking

00:28:14.400 --> 00:28:17.319
companies anymore. It's entering the realm of

00:28:17.319 --> 00:28:20.740
town planning and the public sector. The UK government

00:28:20.740 --> 00:28:23.519
actually launched a PropTech Innovation Fund.

00:28:24.019 --> 00:28:25.799
What's the goal there? What are they funding?

00:28:26.400 --> 00:28:28.440
Initially, one of their big focuses was on what

00:28:28.440 --> 00:28:30.759
they call citizen involvement solutions. That

00:28:30.759 --> 00:28:33.160
sounds very bureaucratic. What does it actually

00:28:33.160 --> 00:28:36.180
mean in practice? Okay, so imagine a new high

00:28:36.180 --> 00:28:38.019
-rise development is proposed in your neighborhood.

00:28:39.019 --> 00:28:40.579
Traditionally, how do you find out about it?

00:28:40.700 --> 00:28:43.099
Maybe a small notice is posted, and there's a

00:28:43.099 --> 00:28:45.059
town hall meeting on a Tuesday night that almost

00:28:45.059 --> 00:28:48.180
nobody goes to. And the people who do go are

00:28:48.180 --> 00:28:49.799
usually the ones who are really angry about it.

00:28:50.000 --> 00:28:52.440
It's not a representative sample of the community.

00:28:52.720 --> 00:28:54.920
Right. It's usually just the loudest voices shouting,

00:28:55.059 --> 00:28:58.819
not in my backyard. Exactly. A citizen involvement

00:28:58.819 --> 00:29:02.039
solution might be a digital platform, an app.

00:29:02.460 --> 00:29:04.980
where you can see a full 3D model of the proposed

00:29:04.980 --> 00:29:06.960
building right on your phone. You can spin it

00:29:06.960 --> 00:29:09.039
around, you can see how the shadows will fall

00:29:09.039 --> 00:29:11.140
on your garden at different times of day, you

00:29:11.140 --> 00:29:13.259
can see the projected traffic impact, and you

00:29:13.259 --> 00:29:15.319
can leave structured feedback directly. So it's

00:29:15.319 --> 00:29:17.859
about democratizing the planning process, making

00:29:17.859 --> 00:29:19.900
it more accessible and transparent for everyone,

00:29:20.039 --> 00:29:21.799
not just the people with the time and energy

00:29:21.799 --> 00:29:24.640
to show up to a meeting. Precisely. Instead of

00:29:24.640 --> 00:29:26.900
a flyer on a telephone pole, It's an interactive

00:29:26.900 --> 00:29:29.839
experience. And more recently, they've been looking

00:29:29.839 --> 00:29:32.779
at using prop tech for land assessment, helping

00:29:32.779 --> 00:29:34.980
the government get a much better data driven

00:29:34.980 --> 00:29:37.480
understanding of the built environment so they

00:29:37.480 --> 00:29:38.980
can make smarter decisions about where to build

00:29:38.980 --> 00:29:41.799
schools, hospitals and transit lines. That is

00:29:41.799 --> 00:29:44.799
a crucial point. So much urban planning has been

00:29:44.799 --> 00:29:48.420
done with very old maps and outdated census data.

00:29:48.839 --> 00:29:51.599
Using real -time data could make our cities much

00:29:51.599 --> 00:29:54.200
more responsive to actual needs. It's a huge

00:29:54.200 --> 00:29:56.440
opportunity. Okay, there's one more term in the

00:29:56.440 --> 00:29:58.339
sources that I absolutely have to ask you about.

00:29:58.500 --> 00:30:00.740
Sounds a little ominous, a little dystopian.

00:30:00.799 --> 00:30:04.759
The automated landlord. It does sound a bit like

00:30:04.759 --> 00:30:07.299
a sci -fi villain, doesn't it? This term refers

00:30:07.299 --> 00:30:09.740
to the increasing automation of property management

00:30:09.740 --> 00:30:12.210
functions. We touched on it earlier with the

00:30:12.210 --> 00:30:14.849
maintenance platforms, but the sources specifically

00:30:14.849 --> 00:30:17.890
mention using technology like AI and natural

00:30:17.890 --> 00:30:21.769
language processing or NLP to extract data from

00:30:21.769 --> 00:30:24.670
lengthy and complex rental documents. This is

00:30:24.670 --> 00:30:27.390
the AI that can read and understand a legal contract.

00:30:27.630 --> 00:30:30.240
Right. Think about a large commercial landlord

00:30:30.240 --> 00:30:33.000
like a real estate investment trust. They might

00:30:33.000 --> 00:30:35.039
own hundreds of office buildings and have 10

00:30:35.039 --> 00:30:38.440
,000 different leases. Each one is a 50 -page

00:30:38.440 --> 00:30:40.900
PDF with slightly different clauses, different

00:30:40.900 --> 00:30:43.000
renewal dates, different rent escalation rules.

00:30:43.339 --> 00:30:45.299
That is a data management nightmare, a human

00:30:45.299 --> 00:30:47.160
trying to keep track of all that would make mistakes.

00:30:47.480 --> 00:30:49.920
It is. And if you miss a critical date, like

00:30:49.920 --> 00:30:52.279
a renewal deadline, it can cost you millions

00:30:52.279 --> 00:30:54.980
of dollars. The automated landlord technology

00:30:54.980 --> 00:30:58.420
uses AI to scan all these documents, extract

00:30:58.420 --> 00:31:01.519
the key data points like rent increases by 3

00:31:01.519 --> 00:31:04.619
% on January 1st of each year, and feeds them

00:31:04.619 --> 00:31:07.240
directly into the management system. It automates

00:31:07.240 --> 00:31:10.000
rent collection, lease renewals, and even compliance

00:31:10.000 --> 00:31:12.640
checks. So you could theoretically rent an apartment,

00:31:12.799 --> 00:31:15.359
live there for years, pay your rent through an

00:31:15.359 --> 00:31:17.900
app, request repairs through a portal, and move

00:31:17.900 --> 00:31:20.059
out without ever interacting with a single human

00:31:20.059 --> 00:31:22.259
being from the management company. Theoretically,

00:31:22.259 --> 00:31:24.730
yes. For the landlord, it's maximum efficiency.

00:31:24.809 --> 00:31:27.410
It reduces headcount and human error for the

00:31:27.410 --> 00:31:30.069
tenant. Well, that's where the big debate lies.

00:31:30.289 --> 00:31:32.369
Does it make things easier and more responsive,

00:31:32.470 --> 00:31:34.470
or does it remove the essential human element

00:31:34.470 --> 00:31:36.769
of empathy and understanding? Right. If you're

00:31:36.769 --> 00:31:38.509
a day late on rent because of a sudden medical

00:31:38.509 --> 00:31:41.450
emergency, an algorithm might not care. It just

00:31:41.450 --> 00:31:43.289
sees a missed payment and automatically sends

00:31:43.289 --> 00:31:46.029
the eviction notice. That's the risk. Efficiency

00:31:46.029 --> 00:31:48.890
is great, but housing is a fundamental human

00:31:48.890 --> 00:31:52.599
need. Finding that balance between cold, hard

00:31:52.599 --> 00:31:55.799
automation and human -centric management is going

00:31:55.799 --> 00:31:58.059
to be one of the biggest challenges as this tech

00:31:58.059 --> 00:32:00.380
becomes more widespread. That's a heavy thought.

00:32:00.460 --> 00:32:02.180
It brings us right back to that central tension

00:32:02.180 --> 00:32:05.200
between efficiency and humanity, which seems

00:32:05.200 --> 00:32:06.819
to be at the heart of all this technological

00:32:06.819 --> 00:32:09.559
change. It is the central question of technology

00:32:09.559 --> 00:32:12.119
in the 21st century applied to the places we

00:32:12.119 --> 00:32:14.640
live. So let's try and wrap this up. We've gone

00:32:14.640 --> 00:32:17.759
on a pretty wild journey here. From Excel spreadsheets

00:32:17.759 --> 00:32:20.599
in the 1980s that just digitized the math all

00:32:20.599 --> 00:32:24.420
the way to AI driven valuations, blockchain land

00:32:24.420 --> 00:32:27.319
registries and smart buildings with sensors that

00:32:27.319 --> 00:32:29.279
know when your boiler is about to break. It's

00:32:29.279 --> 00:32:31.779
been an incredible period of acceleration and

00:32:31.779 --> 00:32:34.200
the common thread through all of it really is

00:32:34.200 --> 00:32:37.240
data. It's about capturing data, analyzing data

00:32:37.240 --> 00:32:39.900
and using that data to make better decisions

00:32:39.900 --> 00:32:42.259
in the built environment. And then using technology

00:32:42.259 --> 00:32:44.619
to remove all that friction that has plagued

00:32:44.619 --> 00:32:46.839
this industry for centuries. It seems like the

00:32:46.839 --> 00:32:48.759
brick and mortar industry is finally becoming

00:32:48.759 --> 00:32:50.799
the click and mortar industry. I see what you

00:32:50.799 --> 00:32:52.579
did there. But yes, that's absolutely right.

00:32:52.660 --> 00:32:54.660
The digital and physical worlds of real estate

00:32:54.660 --> 00:32:57.740
are merging. So what's the final takeaway? What's

00:32:57.740 --> 00:33:00.839
the one big thought the listener should be mulling

00:33:00.839 --> 00:33:04.430
over as they walk past a construction site? browse

00:33:04.430 --> 00:33:06.650
Zillow on their phone tonight? I think the most

00:33:06.650 --> 00:33:09.470
provocative question to leave with is about that

00:33:09.470 --> 00:33:11.029
government involvement we mentioned earlier.

00:33:11.250 --> 00:33:13.849
For the past decade, we've watched PropTech make

00:33:13.849 --> 00:33:16.490
landlords more efficient, real estate agents

00:33:16.490 --> 00:33:19.789
more productive and investors richer. And that's

00:33:19.789 --> 00:33:21.789
fine. That's how capitalism works. It's been

00:33:21.789 --> 00:33:24.309
about optimizing the asset. Exactly. But with

00:33:24.309 --> 00:33:26.210
the developments like the UK's Innovation Fund

00:33:26.210 --> 00:33:28.589
and the citizen involvement apps, the really

00:33:28.589 --> 00:33:31.220
interesting question is. Is the next phase of

00:33:31.220 --> 00:33:34.140
PropTech less about managing buildings for profit

00:33:34.140 --> 00:33:37.079
and more about democratizing how our cities are

00:33:37.079 --> 00:33:40.059
planned and lived in? So are we just optimizing

00:33:40.059 --> 00:33:42.859
the assets for maximum financial return? Or are

00:33:42.859 --> 00:33:45.319
we on the cusp of using this technology to optimize

00:33:45.319 --> 00:33:48.200
our communities for people, for livability, for

00:33:48.200 --> 00:33:50.720
equity, for sustainability? That is the frontier.

00:33:51.259 --> 00:33:54.039
Can this incredible wave of technology actually

00:33:54.039 --> 00:33:57.400
help solve the housing crisis? Can it be used

00:33:57.400 --> 00:34:00.160
to make our cities more equitable and more livable

00:34:00.160 --> 00:34:03.079
for everyone? Or will it just make the rich richer?

00:34:03.579 --> 00:34:06.359
That's what we need to watch next. That is a

00:34:06.359 --> 00:34:08.380
fascinating and incredibly important place to

00:34:08.380 --> 00:34:10.579
leave it. Thank you for walking us through this

00:34:10.579 --> 00:34:12.780
incredible stack of research. My pleasure. It

00:34:12.780 --> 00:34:14.679
was a great conversation. And thank you for listening.

00:34:14.840 --> 00:34:16.980
Keep looking at the buildings around you. There's

00:34:16.980 --> 00:34:19.360
a lot more going on inside them and behind them

00:34:19.360 --> 00:34:22.880
than you might think. We'll see you on the next

00:34:22.880 --> 00:34:23.280
sneak dive.
