The Quantum City Show

Follow the Power: Where CRE Money Is Really Going | QCI Ep 34

Powered by HqO - Learn more and join the Quantum City Initiative here: https://www.hqo.com/the-future-of-cit... Greg and Chase just got back from HqO's EMEA customer advisory board, and the money in commercial real estate is telling on itself. Last week Digital Realty bought Blackstone's stake in three Northern Virginia data centers for three and a half billion dollars. This episode follows that power, from Miami's record office rents to the 200 buildings a top Manhattan landlord studied before deciding only 11 could actually convert.
 
What you'll learn
 
Why capital keeps flowing to power and compute, and what the Blackstone data center exit really signals
How underwriting has to change, and why below-trophy office starts to look like hospitality
Miami by the numbers, and where it wins and loses against the five principles of the Quantum City
The office-to-residential conversion math, and why "just convert it" breaks down at scale
What the June jobs miss and a stuck 10-year mean for refinancing
 
Chapters 
 
00:00 Episode Kickoff
00:45 Customer Advisory Board Recap
02:06 US vs Europe AI Adoption
06:56 The Collection’s Hospitality Model
11:50 AI Cheating in Higher Education
14:49 Data Centers and the Power Boom
20:26 Office Underwriting Must Change
25:42 Miami’s Office Market Strength
32:43 Commercial Real Estate Quick Hits
32:59 Interest Rates Stay High
34:39 Fed Policy and Inflation Risk
37:01 Money Supply and US Debt
38:26 Gold Repricing Theory
41:03 Office-to-Residential Conversions
44:19 Office Demolition and Adaptive Reuse
47:41 Starwood Avoids Office Investments
49:53 Taylor Swift Wedding Strategy
51:41 FIFA and World Cup Politics
53:44 Tilly Norwood, the AI Actress
57:03 Final Takeaways and What’s Next
 
Hosted by Greg Gomer and Chase Garbarino, co-founders of HqO. The Quantum City Show is presented by HqO.
 
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Let's Go!

The 3 Levels of AI Maturity in CRE | QCI Ep 33

Powered by HqO - Learn more and join the Quantum City Initiative here: https://www.hqo.com/the-future-of-cities-begins-now/AI in commercial real estate has moved from “we should probably look at this” to “why don’t we have a plan yet?”
That was the feeling coming out of our CAB in Los Angeles.
We had owners, operators, and executives from LPC, Hines, LBA, ARE, Piedmont, Swig, MetLife, and Hudson Pacific in the room. Closed-door conversations. A few dinners. A World Cup match at SoFi. And somewhere between the meetings and the traffic leaving the stadium, one thing became pretty obvious.
CRE is splitting into three groups.
Some companies still don’t have an AI strategy. Some are paying for ChatGPT, Claude, or Copilot and hoping experiments turn into a plan. A smaller group gets it: the real advantage will come from operations, building-level data, and the people who know how the work actually gets done.
We’re still figuring out the cleanest way to describe this. But “buy more tools” is not the answer.
In this episode, we talk through the 3 steps we think every CRE company needs to take: find the operational experts, identify the AI-curious people already testing things, and create incentives so adoption doesn’t feel like a threat.
Because if the person who knows the building best thinks AI is coming for their job, you’ve already lost.
We also get into China’s $300 billion AI compute plan, why land with energy, water, and fiber may be wildly underpriced, how export controls could change data center underwriting, KKR’s $10 billion Helix platform, Manhattan hitting 4.2 million square feet of office leasing in May, and why hospitality may be turning into infrastructure.
In this episode:
Why CRE is falling into 3 stages of AI maturity
The 3 steps we’d take before buying another AI tool
Why building-level data is becoming the constraint
How operators and AI-curious employees can build the internal engine
Why incentives matter more than most teams want to admit
China’s $300 billion compute plan and the U.S. permitting problem
Why energy, water, and fiber are becoming real estate’s AI premium
How model risk could show up in data center underwriting
KKR’s $10 billion Helix bet on AI infrastructure
Why 4.2 million square feet of Manhattan leasing doesn’t mean every office building is back
The thread running through all of it: AI will reward the companies that know their buildings, know their data, and can turn all that messy operational knowledge into systems. Not someday.
Now.
Sponsored by HqO, the leading tenant experience platform for commercial real estate.
TIMESTAMPS:  
00:00 Intro + CAB in Los Angeles
03:30 What CRE leaders are actually saying about AI
09:30 The 3 stages of AI maturity in commercial real estate
18:30 How to build a real AI strategy inside a CRE organization
23:00 China’s $300B AI compute plan
27:00 Why energy, water, and fiber are becoming AI’s real estate premium
30:00 Fed rates, inflation, and energy risk
33:30 Anthropic, export controls, and data center underwriting risk
37:30 SpaceX, Cursor, and the speed gap in infrastructure
40:30 KKR Helix and AI infrastructure as a service
43:00 Manhattan office leasing and the K-curve
45:30 Hospitality as infrastructure
47:00 World Cup 2026 as an infrastructure stress test
48:45 Meta morale, snacks, and leadership misses

$20B Is Flooding Back Into Office. Here's Where It's Actually Going | QCI Ep 32

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After years on the sidelines, the institutional giants are buying office again. SL Green, BXP, Vornado, and Nardis are back in the market, and Q1 2026 office investment sales hit $20.5 billion, up nearly 40% year over year. So is office finally back?
Not exactly. Greg and Chase break down why nearly every one of those dollars is flowing to the same 10% of stock, widening the K-curve split between trophy assets that earn the commute and the buildings being left behind. The signal isn't desks, it's rooms: conference and collaboration space is booking at more than twice the pace of desk reservations, because the entire reason to come in is to be around other people. This is the Experience Gap playing out in real time, and it's reshaping how landlords underwrite, lease, and design space.
From there, the guys get into NEOM as a $500 billion cautionary tale in central planning, the end of "extend and pretend" as $100 billion of office CMBS comes due, SpaceX compressing its data center build from 122 days to 66, and the water-rights land grab quietly becoming AI's next hard constraint.
In this episode:
Why $20.5 billion in office investment sales is chasing only the top 10% of buildings
The "Friday test" and what midweek room-booking data reveals about real demand
How smart landlords are diversifying use cases without falling into the flex trap
NEOM, The Line, and what happens when vision outruns the MVP
The end of extend and pretend: $130B in distressed CRE debt and 12% office CMBS delinquency
SpaceX's data center build speed and what traditional operators can't replicate
Kevin O'Leary's Project Stratos and why water is the new land for AI infrastructure
Why the 2026 World Cup is really an infrastructure stress test for 16 cities
The thread running through all of it: capital, talent, and compute are concentrating fast, and the cities and buildings that win will be the ones that close the experience gap instead of waiting for the old playbook to come back.
Sponsored by HqO - the leading tenant experience platform for commercial real estate.
TIMESTAMPS: 
00:00 Intro and Real Comm field report 
02:55 Anchor: Smart money is buying office again 
06:30 REX U: The office isn't back, the meeting room is 
15:55 Quantum Review: NEOM, a $500B cautionary tale 
25:10 Quick Hits: The end of extend and pretend 
29:00 JP Morgan winds down a 24-year-old core fund 
30:00 SpaceX, build speed, and the IPO road show 
35:15 Power, water, and Project Stratos 
41:00 One More Thing: The World Cup infrastructure test

The World Builds in 7 Years What Takes the US 25 | Ep 31

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China just opened the largest train station on earth. 1.2 million square meters. 7 years to build. LIDAR robots working three times faster than humans. Trains doing 220mph.
 
Boston took 17 years to extend 4.7 miles of Green Line. New York spent $5 billion on 1.8 miles of subway tunnel. California committed $100 billion to high-speed rail and hasn't broken ground.
 
This isn't a money problem. It's an incentives problem. And until we're honest about that, we're not even on the field.
 
Meanwhile NVIDIA just posted $81.6 billion in revenue. Up 85% year over year. Data centers growing faster than the company itself. AI is paying rent now… literally. Anthropic is paying SpaceX $1.25 billion a month for compute. SpaceX just filed for the largest IPO in history with a $28.5 trillion TAM. And it's not really a rocket company. It's an infrastructure play. A real estate company. With rockets.
 
The most expensive event in a CRE portfolio isn't a default. It's the lease expiration nobody saw coming. And the industry still doesn't have the metrics to catch it.
 
In this episode:
 
China's Chongqing East Station and what it means for talent, cities, and who wins the next 20 years
The four drivers of tenant churn that CRE keeps ignoring — and why the fix is embarrassingly simple
Houston: the most underrated Quantum City in America, a $700B economy, zero zoning code, and nobody talks about it
NVIDIA Q1 FY27: $81.6B in revenue, 85% growth, and why their data center business is a CRE story
SpaceX's S-1: Starlink, Colossus, X.AI, and $1.25B/month from Anthropic
OpenAI and Anthropic IPO race — who goes first and why it matters
Blackstone and Google drop a $25B AI cloud JV to take on NVIDIA
MSG hosts its first Eastern Conference Finals since 1999. Stadiums are infrastructure too.
Boston Tech Week is coming. The content is great. The name is a disaster. We stand by it.
 
Is the US infrastructure problem about money, politics, or culture? We have a take. What's yours?
 
TIMESTAMPS:00:00 Welcome Back
00:49 Biggest News Week of the Year
01:31 China's Train Station Stats Are Insane
03:26 Why America Can't Build Anymore
07:27 The Real Reason US Infrastructure Fails
12:32 Transit Is a City's Greatest Force Multiplier
13:22 The Most Expensive Event in Any CRE Portfolio
16:14 Why Landlords Always Miss the Signals
19:56 The 4 Drivers of Tenant Non-Renewal
21:35 Will AI Finally Force CRE to Change?
28:13 Houston: America's Most Underrated City
31:45 Why Nobody Talks About Houston
32:41 Houston's Culture, Food and Sports
33:41 NVIDIA Posts $81.6B — The Numbers Are Absurd
35:30 AI Is Now a Rent-Paying Tenant
36:47 How Jensen Huang Runs NVIDIA
37:52 SpaceX Files the Largest IPO in History
38:21 Anthropic Pays SpaceX $1.25B a Month
42:26 SpaceX Is Letting Retail Investors In
43:29 OpenAI vs Anthropic: Who Goes Public First
46:52 Blackstone and Google's $25B AI JV
48:01 Why Stadiums Are Infrastructure
49:19 Boston Tech Week: Great Idea, Terrible Name

The CRE Recovery Is Only Half True | Ep 30

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120 million square feet leased in Q1 2026. Best quarter in a decade. First time since before the pandemic that volume cleared its historical average.
 
So why does Class B still feel like a completely different market?
 
AI firms are signing massive leases. Trophy assets are doing fine. The best buildings in the best markets are printing record quarters. But Class B is staring at a debt wall that doesn't care about good headlines. CMBS delinquencies are above 5%. The loans coming due in the next 18 months aren't going to refinance themselves. And the Fed just got a new chair who made it very clear he's not cutting rates to make anyone feel better.
 
Meanwhile Dubai just launched a $5.6 billion metro line, 100 driverless taxis, air taxis with a six year exclusivity deal, and The Boring Company is breaking ground on the loop. Their stated goal is 80% of daily destinations reachable within 20 minutes. They're not debating it. They're building it. And while we argue about everything else, they're directly connecting infrastructure to GDP output and nobody in the US seems to care.
 
The real story right now isn't whether CRE is recovering. It's who the recovery is actually for.
 
In this episode:
The K-curve: trophy assets win, Class B gets a very different conversation
Kevin Warsh and what a new Fed chair actually means for the debt wall
Hudson Pacific beats earnings and still has a problem nobody wants to talk about
CBRE, Industrious, and why flex is becoming a capability not a category
Trump flies to Beijing with Tim Cook, Jensen Huang and Elon Musk. NVIDIA chips are back on the table.
Blackstone drops a $1.75B data center IPO and nobody is surprised
Spirit Airlines is dead. The government blocked every deal that could have saved it. Now there's a crowdfunding campaign.
Dubai is building flying taxis and underground loops. We're debating everything else.
Why comedians are the biggest celebrities on the planet right now. We stand by it.
 
Sponsored by HqO - the leading tenant experience platform for commercial real estate.TIMESTAMPS: 
01:26 Kevin Warsh Confirmed as Fed Chair
03:45 CMBS Delinquencies and the CRE Debt Wall
05:43 Hudson Pacific Q1 2026 Earnings Breakdown
08:10 Office Leasing Rebound and the K-Curve
10:18 Class B Office Space: Flex or Obsolescence
15:09 How to Underwrite Flex Space in 2026
18:31 Trump China Summit and NVIDIA H200 Chips
22:44 Spirit Airlines Liquidation: What Went Wrong
24:22 Airport CRE and the Ripple Effect
26:24 AI Layoffs vs AI Leasing: Both Are Real
27:21 The Labor Market K-Curve Explained
29:15 Forward Deployed Engineers and Enterprise AI
31:56 Why CRE's Tech Debt Gap Is Now an Advantage
33:37 Blackstone's $1.75B Data Center IPO
35:46 Home-Based Data Centers and the AI Buildout
37:45 Dubai's 2026 Mobility Stack
42:04 Why US Cities Are Losing the Infrastructure Race
44:31 Why Comedians Are the Biggest Celebrities Right Now

Is AI Saving Commercial Real Estate? | Ep 29

 
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Back in February, the AI panic ripped through CRE stocks and everybody bled. CBRE, JLL, BXP, Newmark — absolutely hammered. The bear case was simple: AI was gonna “destroy” office demand, gut the brokerage business, and that was that. Q1 2026 earnings just came in. It wasn't even close.
 
Owen Thomas got on the BXP earnings call and said the exact opposite. AI and tech leasing in San Francisco went from 50% of demand to nearly 80% in a single year. SL Green posted a record quarter. CBRE printed $10.5 billion against a $9.5 billion expectation. Their data center business alone did $950 million in Q1, a number that was literally zero five years ago. The bull case for commercial real estate isn't a thesis anymore. It's paying the rent.
 
We break down why AI isn't a vertical, it's a horizontal, why innovation always clusters in cities, and why the next wave of business process automation has barely started. The CapEx flowing into compute and energy is showing up directly on brokerage income statements and the Q1 numbers suggest the runway is longer than most people think.
 
In this episode:
BXP, SL Green, CBRE, JLL Q1 2026 earnings breakdown and what they mean for office real estate
Why AI demand is driving record office leasing in San Francisco and New York
The Anthropic compute bottleneck and where we are in the AI adoption cycle
CBRE's $800M Industrious acquisition and the Building Operations and Experience bet paying off
Data centers, power infrastructure, and why local incentive structures end NIMBY pushback
Federal Reserve holds rates, Powell refuses to leave, Warsh clears Senate Banking Committee
Fidelity mandates five days in office, AvalonBay and Equity Residential merger talks at $50B
How young commercial real estate brokers should be using AI to advance their careers
The JP Morgan Lev Fin story that broke the internet on May 1st
 
Drop a comment if you have a city for the Quantum City Index scorecard or a guest we should have on the show.
 
Sponsored by HqO - the leading tenant experience platform for commercial real estate.
 
TIMESTAMPS: 
00:00 Intro: F29 And April Numbers Up And To The Right 
01:33 Owen Thomas And BXP On AI Driving Leasing Activity 
02:49 Why Innovation Still Clusters In Cities 
08:03 Are We Still Early On AI Adoption 
11:03 Is The CapEx Ahead Of Real Demand 
14:27 Q1 Earnings: BXP, SL Green And The AI Tenant Surge 
20:13 CBRE And JLL Smash Estimates: $950M In Data Centers Alone 
23:44 Big Tech CapEx And Where The Money Is Going 
24:56 Jamie Hodari, Industrious And The $800M Move 
28:16 BOE: CBRE Unifies Operations And Experience 
31:15 What's Happening With Yardi And WeWork 
32:13 Power Is Still The Bottleneck. Follow The Permitting Map 
34:05 The Politics Of AI Growth 
36:34 Why Citizens Push Back On Data Centers 
40:43 The Fed Holds And Powell Refuses To Leave 
42:53 Fidelity Goes Back Five Days A Week 
45:01 Equity Residential And AvalonBay In Merger Talks 
46:19 Career Advice: How To Use AI To Win In Brokerage 
49:45 The Wall Street Story That Went Viral 
52:16 Wrap: AI Is Paying The Rent

10% of Office Buildings Are Killing the Entire Market | Ep 28

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If you've been watching office vacancy hit record highs while office leasing also hits record highs and wondering what is going on, this one's for you.
Episode 28. We're back. And we have a lot to catch up on.
The Microsoft-Chevron deal just told you everything you need to know about where big tech is heading. Behind the meter power, 2.5 gigawatts in West Texas, and a very clear signal that energy is the new supply chain bottleneck. The companies that figure out verticalization first are going to own the next decade. And no, this is not a bubble. The demand is real. The infrastructure just isn't there yet.
JLL dropped their Q1 2026 Office Market Dynamics report and the numbers are hard to ignore. 10% of buildings are carrying 60% of national vacancy. Trophy and Class A leasing is 13% above pre-pandemic levels. 120 million square feet signed in a single quarter, the highest total since 2018. This was never a demand problem. It's a product problem. And the market is done waiting for landlords to catch up.
Boston gets a full Quantum City scorecard breakdown and the grades are not pretty. A city with MIT, Harvard, and Whoop in its backyard sitting at a C overall is a problem worth talking about.
Tim Cook stepping down, SL Green hitting 100% occupancy, AI companies accounting for 25% of Manhattan office leases, and one very brave guy hitting an eagle on 18 next to a 12-foot alligator.Sponsored by HqO - the leading tenant experience platform for commercial real estate.
 
TIMESTAMPS: 00:31 Microsoft Chevron Deal: Big Tech Meets Energy 
01:43 Behind The Meter Power Explained 
04:03 AI Is Breaking The Energy Grid 
07:00 Big Tech Verticalizes Into Energy 
09:15 Why AI Is Not The Dot Com Bubble 
13:16 Real Estate Developers And The Energy Opportunity 
16:01 JLL Q1 2026: The Office Experience Gap 
18:06 Why Office Class Labels Are Dead 
23:31 Office Leasing Rebound: What The Data Says 
26:20 Commercial Real Estate Distress Is Accelerating 
27:00 Boston Office Market Reality Check 
28:10 Boston Quantum City Scorecard 
28:51 Bad Leadership Kills Economic Momentum 
30:21 Massachusetts AI Coalition vs The UAE 
33:02 Can Whoop Put Boston On Its Back 
35:00 Office Vacancy vs Leasing: Q1 2026 Numbers 
36:48 AI Companies Now Drive Manhattan Office Leasing 
38:21 Tim Cook Steps Down: Good Run Or Not 
41:16 Mayor Wu, Ken Griffin And City Politics 
42:09 Podcast Numbers And The Hair Update 
43:37 Eagle On 18 Next To A 12-Foot Alligator 
45:12 What Is Coming Next On The Quantum City Show

Ep 27 | The $9 Billion Bet on Vermont | How Rob Lair Is Building the Anti-Silicon Valley

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We've been talking about what makes a quantum city for a while now. Rob is in the middle of building one.
Rob Lair, co-founder of Hula Lakeside Investments, joined us this week and the conversation took on a life of its own. 
 
Eight years ago, Rob and his partner Russ Scully converted a vacant oven factory in Burlington, Vermont into what is now 150,000 square feet of coworking infrastructure — and layered on top of it a venture fund, a 100-investor network, and a thesis that private capital deployed by people who love their community is the most powerful force in economic development. Their portfolio grew from a combined $400 million in market cap to over $9 billion. One of their companies, Beta Technologies, just IPO'd at $7.5 billion. Their founder was Rob's neighbor.
 
The thread that ran through the entire conversation was leadership — specifically, the idea that GDP growth and business formation don't come from government or institutions. They come from private capital with a long time horizon and a genuine connection to place. Everything else, including housing, childcare, the zoning reform, follows from that.
 
In this episode:
The Hula model: How bricks-and-mortar infrastructure that cash-flows at a 7% cap, combined with a community investment arm, produces something WeWork never figured out
Place-based investing as a real edge: Why knowing your founders as neighbors — not as deal flow — is a structural advantage no coastal fund can replicate
Why housing has to come first: Hula is breaking ground on 1,400 residential units in July because economic development without housing is, in Rob's words, a waste of time
The CRE opportunity in tier 2 cities: Rob's practical framework for how a developer should be mapping capital formation and startup momentum as forward demand signals — not looking at comp supply
Venture math and the right time horizon: Why failure is part of the economic development, why the PayPal Mafia effect is the whole point, and why a 10-year minimum clock is non-negotiable
Appraisals are two decades behind: Banks are underwriting major projects with backwards-looking market studies while the data to do it properly already exists. Rob makes the case for what this should look like in an AI era
State of venture in 2025: The post-pandemic recovery, IPO windows opening and closing, and why Rob won't accept that place-based investing means lower returns
The next cities to watch: Portland, Maine is Rob's top pick. Boulder, Colorado is second. And none of this, he argues, is a zero-sum game with the tier one markets
 
Rob, thank you for joining us. This was one of those conversations we'll be thinking about for a while.
TIMESTAMPS:01:19 Rob’s Origin Story
04:19 Building Hula’s Engine
07:36 Can Burlington Scale
13:37 What Cities Need
17:02 Winning Over Government
19:23 Venture Time Horizons
28:15 Place Based Capital
30:59 CRE Future Challenge
32:04 Capital Flows Forecasting
33:15 Hula Model Spreading
34:22 Placemaking Beats Backward Data
36:22 AI Underwriting Heatmaps
39:31 Designing For Company Lifecycle
42:32 State Of Venture Today
47:43 Alts And Capital Allocation
49:56 Smart City Data Vision
54:12 Rapid Fire City Metrics
56:14 AI Prompting Workflow
Sponsored by HqO — the leading tenant experience platform for commercial real estate.

Ep 26 | Why Data Centers Are Moving Downtown - And What That Means for Every City in America with Daniel English of Legacy Investing

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30% of office buildings in America are functionally obsolete. That's $1.1 trillion of commercial real estate sitting vacant, aging, and bleeding value. The question everyone is asking: what do you do with it?
Daniel English has an answer. And he just bet $40 million on it.
Daniel is the Co-Founder and Managing Partner of Legacy Investing and he just acquired the former Chicago Board Options Exchange headquarters at 400 S. LaSalle Street to convert it into a 33-megawatt AI data center. The building sold for $12 million 16 months earlier. He's putting hundreds of millions more in equipment in without a single tenant signed.
That's not recklessness. That's a thesis.
In Episode 26 of the Quantum City Initiative Show, Greg sits down with Daniel to unpack why data centers are migrating from suburban campuses to NFL cities, why the building that launched electronic trading is now being rebuilt as AI infrastructure, and why the data center industry's biggest problem isn't power or latency — it's that we've built data centers that look like prisons.
There's also one idea in this episode that will reframe how you think about every building in your portfolio: data centers are not designed for people. They're designed for servers. And that distinction — something that sounds obvious — turns out to unlock an entirely new playbook for what to do with the office buildings no one else can figure out.
Also in this episode:
Data Centers as Civic Institutions: Every photo of your family, every iMessage, every digital memory you own lives in a data center. So why are we running political campaigns against them?
The AI Inference Explosion: Daniel explains why AI inference — the compute that powers your LLMs in real time — is expected to 10x in the next five years, and why that changes where data centers need to be located
The Amazon Package Analogy: The single clearest explanation of why data centers work exactly like logistics warehouses — and why that means more of them are coming to your downtown
The NFL City Rule: If your city has an NFL team, you're getting data centers.
The Minneapolis Proof of Concept: Legacy built an AI inference node on top of a mixed-use office tower in downtown Minneapolis — and nobody driving past it knows it's a data center
The Grid Is 100 Years Old: Daniel's historical argument for why the power conversation is being misframed — and why data centers may actually be the catalyst cities need to finally upgrade aging infrastructure
Data Centers in Space: Why this idea gets laughed at in every industry cocktail party Daniel attends (and why the maintenance problem is the real answer)
 
TIMESTAMPS
00:00 — Intro: Strata backstory, and the $1.1 trillion office problem
01:45 — Daniel's background: tech startups, going public, and the shift to infrastructure
03:35 — What is a data center? And why does everyone think they're prisons?
06:15 — The civic institution argument: your family photos live in a data center
08:05 — Data Centers Are Heading Downtown
09:55 — AI inference explained: the Amazon package analogy
13:05 — The NFL City rule: where data centers cluster and why
18:20 — Power and the grid: why the 100-year-old infrastructure argument changes everything
24:30 — Greg's snowstorm story and the moment you realize you take the grid for granted
26:40 — The CBOE building: vacant for four years, rats included, now being reinvented
30:45 — Why you can put servers in the middle of a 50,000 sq ft floor plate — and why humans won't go there
33:40 — Washington's role: zoning, policy, and why no one defined "data center" in building code until recently
38:10 — What Legacy looks for in a market
41:50 — Hottest data center markets
43:15 — Data centers in space
45:40 — Rapid Fire Segment
 

Ep. 25 | Why AI Is Sending CRE Stocks Into Freefall (And Why That’s Wrong)

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When the AI panic hit Wall Street, the public markets went into an absolute whipsaw. Commercial real estate took one of its sharpest beatings in years - CBRE tumbled, JLL tumbled, and names like Newmark and BXP weren't far behind. The narrative? Investors were terrified that AI would automate the brokerage business, gut white-collar jobs, and crater office demand overnight.
 
There’s just one problem with that "doom and gloom" story: CBRE just posted record annual revenue of $40.6 billion - up 13% year over year.
 
In Episode 25 of TQCIS, we break down why this selloff might be one of the most "oversold" moments in recent history. They dive into why the Luddite Fallacy is the most underused framework in CRE right now, proving that efficiency doesn't decrease demand for labor - it usually explodes it.
 
We also look at the ultimate "vibe shift": Coinbase. After paying $25 million to exit San Francisco and declaring themselves "remote-first," they’re officially back with 150,000 square feet. It turns out, when innovation cycles speed up, the smartest companies realize that digital communication is not the best form for learning.
 
Also in this episode:
The AI Clustering Effect: Why San Francisco is proving that innovation still needs a physical epicenter (and why talent is a social species).
Tuesday is the New Monday: Placer.ai data shows the midweek spike is real. What does that mean for a lease built on "contractual lock-in" instead of customer success?
The Elon Effect: SpaceX is poised to raise more in its IPO than 90 companies combined. We discuss why Musk is arguably the most important "city-maker" alive today.
The Agentic Unlock: Greg shares how he’s using AI agents to get "brutally honest" feedback on sales pitches and account management in real time.
Is the office dead? Or is the "passive landlord" the only thing actually going extinct?
TIMESTAMPS
00:00 - Intro: Three feet of snow, no power, and the case against Boston as a Quantum City 
02:00 - Anchor Story: The AI panic that hammered CBRE, JLL, and the CRE market 
18:40 - Coinbase paid $25M to leave San Francisco. Then came back with 150,000 sq ft. 
24:50 - SF's bifurcated office recovery and the AI clustering effect 29:55 - Placer.ai data: Tuesday and Wednesday are the new Monday 
32:00 - What hybrid work really means for lease structures and concessions 
35:10 - SpaceX IPO: poised to raise more than all of last year's IPOs combined 
38:00 - Elon Musk as a city-maker  -  Austin, gigafactories, and the Mars thesis 
42:20 - Techstars Boston goes on hiatus. Bedrock Detroit picks up the slack. 
44:50 - Agentic AI in the real world: 3-year account expansion plans in 2 minutes
Sponsored by HqO  -  the leading tenant experience platform for commercial real estate.
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