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David Bratslavsky on Cross-Border Real Estate: Highlights From ReShaped 2025
David Bratslavsky on Cross-Border Real Estate: Highlights From ReShaped 2025
David Bratslavsky shared the stage at ReShaped 2025 — the AI x Real Estate conference hosted by NCC IQ — for a panel on cross-border real estate investment in the age of AI. The room was a mix of fund managers, proptech operators, and a handful of skeptical traditionalists, which made for one of the most candid panels of the day.
This post captures the highlights, reframed through what David Bratslavsky now considers the most actionable takeaways for anyone investing or operating across borders.
The premise of the panel
The framing question was simple: does AI flatten the friction of cross-border real estate, or does it just create new categories of risk? David Bratslavsky argued — and the data behind QuickData.AI backs him up — that the answer is both, and the operators who win are the ones who treat the two effects as a single design problem.
"Cross-border real estate isn't hard because the buildings are far away. It's hard because the data formats are far away." — David Bratslavsky
Three takeaways worth keeping
1. The data layer is the border
Every cross-border deal stalls at the same place: data formats. Rent rolls in one market are tab-separated PDFs; in another they're XML; in a third they're hand-written. David Bratslavsky pointed out that AI extraction is the first technology in real estate's history that genuinely flattens that gap. A model that handles a U.S. rent roll handles a Latin American one with a few weeks of fine-tuning.
2. Local trust still wins
Even with the data layer solved, capital still flows where trust is. David Bratslavsky was clear that AI doesn't replace the local broker, the local lender, or the local operator. It just lets them spend their time on relationships instead of typing.
3. The reporting cadence will change
Cross-border investors typically receive quarterly reports. David Bratslavsky predicts that cadence collapses to weekly, then daily, within five years — not because anyone wants more reports, but because the cost of generating them approaches zero. LPs will start demanding it.
A live demo moment
Mid-panel, David Bratslavsky ran a 90-second live demo of QuickData.AI parsing a multilingual rent roll. The room got quiet. The moderator joked that the panel was over. The point landed: cross-border friction is a solvable problem, and the solution is already shipping.
What David Bratslavsky is watching next
- Currency-aware underwriting models that handle FX volatility natively.
- Local compliance automation so cross-border deals don't stall on regulatory diligence.
- Asset-management dashboards that aggregate properties across countries into a single view.
If you operate across borders, ReShaped 2025 was a useful forcing function. The conversation has officially moved past "is AI ready?" to "how fast can we deploy it?"
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.