On-Demand Webinar

AI Adoption vs. AI Impact: The 2026 Real Estate Reality Check

Vlad Subbotin
Vlad Subbotin
Director, Business Intelligence & Software Development
Marcel Kanngiesser
Marcel Kanngiesser
Director, Real Estate Consulting
Ursula Sage
Ursula Sage
VP, Product
Jeff-blasbalg
Jeff Blasbalg
Sr. Director of Product

97% of institutional CRE firms have deployed AI. Nearly half aren’t saving any time with it. The culprit isn’t the AI; it’s the data underneath it.

Watch a panel of thought leaders from Starwood Property Trust, PwC, and Dealpath discuss the findings from Dealpath’s 2026 AI Impact Survey, including practical steps to close the gap between AI adoption and impact. They go beyond the headlines and share how firms can effectively deliver on their AI goals across use cases like screening, underwriting, and more.

In this session, we covered:

  • The verification tax: Why nearly half of individuals are breaking even or losing time to AI, and how your team can reclaim that time

  • The confidence gap: Why AI is failing many firms that claim their data is “AI-ready”, and how to assess the state of your data

  • The trust spectrum: Where the industry trusts AI for specific use cases, where it doesn’t, and what it takes to build firmwide trust in AI

  • Closing the gap: The data foundation needed to deliver real AI ROI, and how firms can standardize and structure their data

Vlad Subbotin
Vlad Subbotin
Director, Business Intelligence & Software Development
Marcel Kanngiesser
Marcel Kanngiesser
Director, Real Estate Consulting
Ursula Sage
Ursula Sage
VP, Product
Jeff-blasbalg
Jeff Blasbalg
Sr. Director of Product

97% of institutional CRE firms have deployed AI. Nearly half aren’t saving any time with it. The culprit isn’t the AI; it’s the data underneath it.

Join a panel of thought leaders from Starwood Property Trust, PwC, and Dealpath as they discuss the findings from Dealpath’s 2026 AI Impact Survey, including practical steps to close the gap between AI adoption and impact. They’ll go beyond the headlines and share how firms can effectively deliver on their AI goals across use cases like screening, underwriting, and more.

In this session, we’ll cover:

  • The verification tax: Why nearly half of individuals are breaking even or losing time to AI, and how your team can reclaim that time

  • The confidence gap: Why AI is failing many firms that claim their data is “AI-ready”, and how to assess the state of your data

  • The trust spectrum: Where the industry trusts AI for specific use cases, where it doesn’t, and what it takes to build firmwide trust in AI

  • Closing the gap: The data foundation needed to deliver real AI ROI, and how firms can standardize and structure their data