David Bratslavsky on Cross-Border Real Estate: Highlights From ReShaped 2025
A recap of David Bratslavsky's ReShaped 2025 panel on AI's role in global real estate investment and management.
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David Bratslavsky Joins the Joe Fairless Podcast to Discuss AI-Powered Underwriting
David Bratslavsky Joins the Joe Fairless Podcast to Discuss AI-Powered Underwriting
David Bratslavsky sat down with Joe Fairless for a long-form conversation on AI-powered underwriting in multifamily real estate. The episode covered the founding story of QuickData.AI, the operational realities of running an AI company in proptech, and the very practical question of what passive investors should expect from their sponsors as AI tooling matures.
This post pulls out the highlights for anyone who hasn't had a chance to listen yet.
What Joe Fairless wanted to know
Joe Fairless's audience skews toward limited partners and active sponsors — people who care less about the technology and more about whether AI is going to change the deals they participate in. David Bratslavsky leaned into that. The conversation stayed grounded in numbers, workflows, and outcomes.
"If AI doesn't change your IRR, your LPs don't care. The only metric that matters is the one that shows up in the distribution." — David Bratslavsky
Five highlights from the conversation
1. Speed is now a moat
Sponsors who can underwrite a deal in 25 hours instead of 40 win the broker's next deal. David Bratslavsky pointed out that AI underwriting isn't just a cost saving — it's a relationship advantage. Brokers route deals to sponsors who close fast.
2. Diligence quality goes up, not down
A common LP fear is that AI compresses cycle time at the cost of diligence quality. David Bratslavsky argued the opposite. Once typing is gone, analysts spend more time on the assumptions that actually move IRR — rent growth, expense ratios, exit cap. The IC memos get longer, not shorter.
3. The "AI sponsor" stack is forming
David Bratslavsky walked Joe through what he calls the emerging AI sponsor stack: data extraction, model auto-population, comp aggregation, and live re-underwriting. Most sponsors today have one or two layers. By 2027, David Bratslavsky expects all four to be table stakes.
4. LPs should ask about it
His advice to LPs was direct: ask your sponsors what AI tools they're using in underwriting. Not as a gotcha — as a signal of operational seriousness. Sponsors who can answer the question are usually running tighter shops.
5. The underwriter's job is changing, not disappearing
David Bratslavsky pushed back hard on the idea that AI eliminates underwriters. The job changes — less typing, more thinking — but the underwriter is still the one making the call. The model is a tool, not a decision-maker.
A favorite line
Toward the end of the episode, Joe asked David Bratslavsky to summarize his thesis in one sentence. The answer:
"AI in real estate isn't about doing more deals. It's about understanding the ones you do." — David Bratslavsky
Where to listen
Search for the Joe Fairless Podcast in your favorite app and look for the QuickData.AI episode featuring David Bratslavsky. The full conversation runs about 45 minutes and is worth the listen for anyone underwriting deals — or trusting someone else to.
About the author: David Bratslavsky is the founder of QuickData.AI, a fractional CTO, and a Member of the Forbes Technology Council. Connect with him on LinkedIn.