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AI REVOLUTIONIZES REAL ESTATE DEALS: THINK LIKE A DEVELOPER! #shorts

20 Aug 2026 · 1 min

Watch on YouTube

0:52

In this YouTube short, two speakers discuss the concept of training an AI system to underwrite real‑estate deals the way a developer thinks. Speaker A illustrates a back‑of‑the‑napkin example: an 80‑truck yard with $250 per truck per month rent at 90 % occupancy, leading to a calculated cap rate and a suggested maximum purchase price of about $2.49 million. The dialogue then explores how such AI‑generated deal snapshots—four pictures and ten words—could be valuable for lenders when presenting opportunities to clients, and also for cost‑segregation engineers who need quick, data‑driven assumptions. The overall message is that AI can streamline deal analysis, provide concise visual‑text summaries, and serve multiple real‑estate finance stakeholders.

Chapters

I said, now run this deal. The first thing he wants to do is underwrite it like I do, like I think. It's thinking, okay, what do you want to do, boss? IOS yard, truck parking, contractor yard. Boom, boom, boom. So if I could train AI to think like a real estate developer, like this, right? And it's, and it's giving me like a back of the napkin example right there saying that I've got 80 trucks, $250 a month occupancy, 90%. Here's your cost. Here's your, here's your assumption, here's your cap, here's your value. Don't more— don't offer more than $2.49 million. Right.
So now, as lenders, how valuable would this be to be able to see this with your clients?
4 pictures, 10 words.
Right, right.
And it's because—
run this deal, run this deal.
I can do this not only for lenders, but I can do it for cost seg guys where the cost segregation engineers