Gower Crowd

03/12/2026

One operational pattern I see inside many real estate investment firms:

The bottleneck is rarely deal flow.

It is information flow.

Acquisition teams are constantly sorting through material.

Rent rolls.
Debt terms.
Market reports.
Lease summaries.
Offering memoranda.
Comparable transactions.

The volume of information moving through a firm has increased dramatically over the past decade.

But the structure of the work has not changed very much.

Analysts still spend large portions of their time extracting information from documents, organizing it, and preparing it for underwriting.

None of that work is intellectually trivial.

But much of it is repetitive.

And it sits directly in the path between raw information and investment judgment.

This is one reason AI is starting to matter in commercial real estate.

Not because it produces magical insights.

Because it can begin to compress the layer of work where information gets processed before decisions are made.

The firms that integrate it well will simply move from document → analysis → judgment faster.

That operational shift is easy to underestimate.

But over time it compounds.

***

If you're interested in how experienced real estate professionals are beginning to integrate AI into the analytical systems inside their firms, I’m running a small executive program starting March 16.

Details here:
https://learn.gowercrowd.com/ai-accelerator-program-sp

03/11/2026

Over the past few days an interesting shift has been happening in the bond market.

For much of the year, investors had been leaning toward a fairly simple narrative:

Inflation was easing.
The Federal Reserve would eventually cut rates.
Treasury yields would gradually move lower.

Then oil prices jumped.

Following the escalation in the Middle East, energy markets moved sharply higher and bond traders quickly began reassessing the path of interest rates.

As Bloomberg reported last week, traders who were recently pricing in two Federal Reserve cuts this year are now scaling those expectations back.

The reason is straightforward.

Higher energy prices risk slowing the progress on inflation that central banks have been waiting for.

If oil remains elevated, the Fed may have fewer degrees of freedom than markets had assumed.

That matters for commercial real estate because capital markets expectations tend to change faster than property markets do.

A few basis points in Treasury yields can move debt costs immediately.

Asset pricing adjusts much more slowly.

That gap between financial markets moving quickly and real estate repricing slowly is where much of the tension in the industry is currently sitting.

The broader point is that real estate investors are still living inside a macro environment that remains fragile.

A geopolitical shock can move energy markets.
Energy markets can shift inflation expectations.
Inflation expectations can change interest-rate assumptions.

And interest rates remain the single most powerful variable in real estate underwriting.

The macro chain reaction is rarely linear.

But it is always there in the background.

***

One implication of environments like this is that real estate decisions increasingly have to be made with incomplete information.

That is exactly where better analytical systems begin to matter.

If you're interested in how experienced real estate professionals are beginning to use AI as part of those analytical systems inside their firms, I'm running a small executive program starting March 16.

Details here:
https://learn.gowercrowd.com/ai-accelerator-program-sp

03/10/2026

A common assumption right now is that AI will eventually replace much of the analytical work done in real estate.

Underwriting.
Market analysis.
Document review.

The logic seems straightforward.

If machines can process information faster than people, they should eventually replace the people doing the analysis.

But that view misunderstands where the real value sits in commercial real estate.

The hard part of real estate investing has never been processing information.

The hard part is judgment under uncertainty.

Two sponsors can look at the same property and reach very different conclusions about risk.

Two lenders can review the same deal and price it very differently.

Two investment committees can see the same underwriting and make opposite decisions.

The difference is not calculation.

It is judgment.

Experience tells you when assumptions are too optimistic.

When a submarket is starting to soften.

When a sponsor is stronger than the numbers suggest - or weaker.

AI is very good at helping process information faster.

It can summarize reports, analyze documents, and organize large volumes of data far more quickly than humans.

But it does not eliminate uncertainty.

And uncertainty is where experienced investors create value.

If anything, AI may make judgment more important, not less.

When everyone has faster access to information, the advantage shifts toward those who know how to interpret it.

In other words, AI compresses analysis.

But it does not replace the core skill of real estate investing:

making decisions when the information is incomplete and the outcome is uncertain.

***

If you're interested in the practical side of applying AI inside real estate firms, I’m running a small executive program on this starting March 16.

Details here:
https://learn.gowercrowd.com/ai-accelerator-program-sp

03/09/2026

Over the past few days an interesting signal has started appearing in the credit markets.
It has very little to do with productivity.
It has to do with risk.

Mahesh Saireddy, co-head of Goldman Sachs’ Capital Solutions Group, said last week that AI disruption is likely to make lending decisions more difficult over the next several years because lenders cannot yet tell which business models will remain durable.

The concern is straightforward: when technology can rapidly change the economics of an industry, it becomes harder to evaluate long-term creditworthiness.

That anxiety is beginning to spread through parts of the private credit market.

Software companies, digital services businesses, and other technology-dependent models suddenly look harder to underwrite when the pace of change accelerates.

In that environment, something interesting happens.

Assets backed by physical collateral start to look comparatively easier to understand.

Buildings still generate rent.
Leases still produce cash flow.
Collateral still exists in the real world.

None of that removes risk from commercial real estate. The sector has plenty of its own cyclical challenges.

But it highlights a broader shift that is easy to miss.

Most of the conversation around AI in real estate still focuses on productivity - faster underwriting, faster research, faster document analysis.

The larger macro effect may be different.

AI is beginning to influence how lenders think about risk itself.

When uncertainty rises around intangible business models, capital often gravitate toward assets where the underlying economics remain visible.

That does not mean real estate suddenly becomes risk-free.

It does mean that in a world where technological disruption can quickly rewrite entire industries, collateral that can be inspected, valued, and financed may regain a certain strategic clarity.

AI is changing workflows.

But it may also begin to reshape how capital decides what it trusts.

***

If you’re interested in the practical side of applying AI inside real estate firms, I’m running a small executive program on this starting March 16.

https://learn.gowercrowd.com/ai-accelerator-program

03/05/2026

Over the past year a predictable pattern has emerged.

AI training programs are appearing everywhere - courses, bootcamps, certifications. A new learning ecosystem is forming around the technology.

That always happens when a general-purpose technology spreads - new industries emerge.

It happened with electricity.
It happened again with the internet.

AI is following the same path.

But it helps to view AI as something larger than a collection of tools.

Electricity allowed machines to run.
The internet allowed information to move.
AI allows cognition to scale.

When the cost of cognition falls, the structure of work changes.

We are already seeing early signs with clients in commercial real estate. Tasks that once took hours now take minutes. Analysis expands, outreach increases, and decisions happen faster.

At first it looks like productivity.

In reality it is structural.

Utilities reorganize industries.

Electricity reorganized manufacturing.
The internet reorganized information.
AI is beginning to reorganize knowledge work.

I wrote an article outlining this idea - that AI is emerging as the third great utility.

Link - with audio link to (AI generated - it's ridiculously good) in comments.

More on the practical implications soon.

***

The AI Accelerator Program begins March 16. For serious professionals who understand they are just scratching the surface in their AI use today. Details in the featured section of my profile.

02/27/2026

Sell high, buy low.

I've been saying this for months.

If you are raising equity capital for real estate, now is the perfect time to be building your systems to attract, nurture, and convert investors.

Four reasons:

1. Interest rates coming down
2. Extended tax breaks made permanent.
3. More liquidity in the market (debt) from banking deregulation.

and...

4. The stock market is at historic highs (sell high) - while real estate is at cyclical lows.

Want to know how to rise above the noise in a tough market for capital formation from retail investors?

Positioning.

***

Our clients manage over $45bn in assets and have raised over $1bn in equity using our systems with minimum investments as low as $25,000.

DM me if you'd like to discuss how we can help you too.

CRE now screens as "cheap" relative to stocks, with private-market pricing stabilizing.

02/24/2026

There’s a quiet tax most real estate pros pay.

It’s not bad deals.
It’s not lack of capital.
​
It’s time lost inside spreadsheets.

Downloading data.
Cleaning it up.
Trying to “see” what matters.
Building charts.
Rebuilding them when they’re wrong.

Not hard work.

Just slow work.

And slow work kills momentum.

So I tried something different.

Instead of digging through the spreadsheet myself…

I gave the dataset to Claude - inside Excel - and told it what I wanted to understand.

Not “make this pretty.”

But:

Analyze this.
Find the pattern.
Show me the visual that explains it.

And it built the graph.

In minutes.

Clear. Useful. Decision-ready.

I recorded the whole thing so you can see exactly how it works.

TL;DR
Just the screen and the process.

​Watch it here: https://gowercrowd.com/crushing-excel-with-ai?utm_source=post-ai-in-excel&utm_medium=linkedin&utm_campaign=022426

And on that page there’s also a link to next week’s webinar, where I’ll show how this kind of leverage applies across underwriting, capital formation, and operations.

Because this isn’t about Excel.

But it'll change how you use Excel forever.

02/20/2026

I have not found that real estate professionals are divided on their views about AI. Their skepticism spans the full spectrum of confidence.

Here’s a selection of responses from attendees to the webinar about how they are viewing AI today:

-> “I wouldn’t say AI is replacing me. That would imply hostility. It has simply assumed my core functions with admirable efficiency.”

-> “Predictions that entry-level roles may vanish are, of course, exaggerated. One must assume that at least half of them will supervise the vanishing.”

-> “My expertise has not disappeared. It has merely been made universally accessible, instantly deployable, and free.”

-> “The pace of change is not alarming. It is merely occurring faster than comprehension, governance, and sleep.”

-> “I briefly considered retraining in data science until I was informed the data science had already retrained itself.”

-> “I remain financially secure, provided my income, valuation assumptions, and macro forecasts continue to behave nostalgically.”

-> “I don’t feel replaced. I feel… augmented into redundancy.”

-> “The software now performs my analytical work in seconds. I continue to provide oversight by watching it succeed.”

-> “I remain essential. Admittedly, the system reaches the same conclusions without me, but morale is important.”

-> “It has not taken my job. It has simply reduced my role to strategic nodding.”

-> “I had just understood the last update when the next three arrived.”

-> “The speed of innovation is invigorating, provided one does not attempt to follow at the same speed.”

-> “I’ve decided to stop learning acronyms. They appear to reproduce.”

-> “The future is arriving ahead of schedule. This is highly irregular.”

Join us March 4th at 10am, PT for the AI in Real Estate webinar. We’re not going to stop the future. We’re simply going to make it legible. Link in the featured section of my profile and in the comments below.

02/16/2026

For decades, commercial real estate has rewarded imperfect information.

The operator who won at acquisition was often the one who knew something others did not - a zoning nuance, a pending tenant requirement, a shift in capital flows, a more precise read on operating risk. Information asymmetry created alpha.

Based on my work with clients over the last 18 months researching and implementing AI across the full CRE lifecycle - from deal sourcing and underwriting to operations, capital formation, and exit - I am watching that asymmetry compress in real time.

AI dramatically improves data aggregation, pattern recognition, and synthesis across fragmented sources. What previously required years of market immersion, broker relationships, and manual spreadsheet modeling can increasingly be surfaced through structured queries. The “inside edge” is becoming more accessible.

In the short run, this does not advantage everyone equally. It advantages the operators who deliberately adopt and integrate AI into their workflows. Many newer entrants are moving faster here than seasoned professionals who are understandably anchored to systems that have worked for decades. That gap will show up in speed to actionable insight, the ability to move faster on acquisitions and buy at better prices, sharper underwriting, stronger operating efficiency, and ultimately superior ROI.

I have seen this pattern before. Early Excel adopters had a measurable competitive advantage. Over time, Excel became standard equipment and the advantage disappeared. AI will follow a similar trajectory. As best practices mature and become commonplace, the information edge will compress again.

As information asymmetry declines and markets become more efficient, differentiation will likely concentrate almost entirely around access to capital and the cost of that capital.

Right now, the competitive field is shifting. The rules are changing weekly as models improve and AI-first companies rewire CRE workflows. This is not a theoretical next-cycle conversation - this is a present-cycle strategic imperative.

If you operate in commercial real estate - regardless of shop size - you need a deliberate policy on AI integration. Not experimentation at the margins, but structured deployment across sourcing, underwriting, asset management, capital reporting, and decision support. And you must assume that today’s tools will evolve quickly, requiring continuous, ongoing reassessment.

The dividing lines in this cycle are being drawn now. The question is not whether AI will reshape CRE. The question is whether you will institutionalize it before your competitors do.

***

AI integration is now a strategic decision. On March 4 at 10am PT, I am hosting a live training outlining how it is being implemented across sourcing, underwriting, operations, capital, and exit. Details and registration: https://cre.gowercrowd.com/

01/23/2026

Most of us will spend a disproportionate amount of our lives at work, which makes learning how to think, decide, and operate effectively feel less like a hobby and more like basic risk management.

When the goal is better judgment, sharper strategy, or simply understanding why organizations behave the way they do, we tend to reach for business books written by people who claim to have figured it out.

Below is a short business reading list that skips the usual bestsellers and focuses instead on material that quietly improves how you think, negotiate, and lead in the real world.

-> Calvin and Hobbes for philosophy
Teaches first-principles thinking, incentive misalignment, and why most strategic errors begin with flawed assumptions.

-> Asterix the Gaul for cultural anthropology
Required for understanding why global strategies fail locally, and why culture eats centralized planning every time.

-> The Piranha Club for business strategy and tactics
A realistic treatment of competitive dynamics, informal power, and how outcomes are actually won.

-> Bertie Wooster & Jeeves for executive decision-making
A case study in solving complex problems when authority and intelligence are not aligned, which is most organizations.

-> Rumpole of the Bailey for negotiation tactics
Demonstrates how framing, timing, and narrative routinely matter more than formal leverage.

-> James Herriot collection for leadership and professional judgment
Covers accountability, resilience, and operating under real-world constraints without excuses.

If nothing else, these books will leave you with a smile which suggests you may have learned the most important lesson of all: perspective.

Have a good weekend.

01/06/2026

Many real estate sponsors believe the equity capital formation market is ‘frozen.’
It isn’t.
It’s sorting.
Downturns don’t eliminate capital; they redistribute it from weak hands to disciplined ones.
Today’s investor sentiment is doing exactly that.
Investors are:
• moving toward predictability
• rewarding conservative leverage
• prioritizing track record depth
• avoiding sponsors who over-promised last cycle
• funding operators who communicate clearly and operate tightly
This shouldn’t be surprising.
It’s what happens in every cycle.
But this time, there’s a difference:
Investors now evaluate sponsors with institutional criteria.
They compare discipline.
They compare judgment.
They compare how sponsors behaved when the world became difficult.
So when you see some sponsors claiming ‘no one is investing,’ that’s not market commentary.
It’s a mirror.
For those operating at a higher standard, this environment isn’t a challenge.
It’s an advantage.
Investor sentiment isn’t the obstacle.
It’s the sorting mechanism that reveals who has earned the right to raise capital in the first place.

12/09/2025

If a real estate investor has been burned, the last thing they want is hype.
Or optimism.
Or a sponsor explaining why ‘rates are about to come down, so everything’s fine.’
What they want is competence communicated through action.
The sponsors who are succeeding in raising capital today follow a predictable pattern:
1. Acknowledge reality.
Investors already know the landscape.
They respect clarity far more than reassurance.
2. Explain the risk, not the story.
Burned investors want to know the mechanics –
how leverage behaves, how NOI behaves, how cash flow behaves under stress.
3. Show your strategy for the downside.
Upside talk is cheap.
Downside analysis is a differentiator.
4. Deliver consistent reporting.
Inconsistent communication feels like lack of control.
And in this cycle, lack of control is fatal.
5. Speak as a fiduciary, not a marketer.
Investors have an excellent radar for tone.
They know when a sponsor is explaining vs. persuading.
The sponsors winning capital are not ‘better at marketing.’
They are better at framing risk, managing expectations, and communicating like adults in a room full of amateurs.
This is what investor confidence responds to.
Not optimism.
Not enthusiasm.
Clarity.