Keynote: PropTech 2026 — How AI Is Rewiring Real Estate Operations

The first generation of PropTech promised to transform real estate. Most of it didn't. The second generation — built on foundation models, large-scale training data, and actual integration with property management workflows — is delivering on that promise in specific, measurable ways. Priya Nair has a front-row seat: as General Partner at PropTech Ventures, she has evaluated over 400 companies and invested in 40+ across the property management, underwriting, leasing, and construction stacks.

In this keynote, Priya shares the investment thesis behind the AI applications generating the most measurable ROI for operators in 2026: AI-powered lease abstraction that eliminates manual paralegal review; dynamic rent optimization engines using hyperlocal demand signals and adjusted seasonality to price STR and multifamily units in real time; predictive maintenance systems reducing unplanned equipment failures by 30–50% across large portfolios; AI-assisted underwriting compressing due diligence cycles from 30 days to 72 hours; and computer vision tools automating property inspection reporting.

Priya also addresses the hype directly — the AI categories she has passed on and why. The products with flashy demos that don't survive contact with real property data. The LLM-wrapped tools that are one fine-tuned model away from being commoditized. She will name categories (though not companies).

Attendees receive Priya's 2026 PropTech Landscape Map, organized by category maturity, ROI evidence, and integration complexity — available in the conference app during the session. 1.0 CE credit.