CRECo.ai Roundtable: Technology, Marketing, Brokerage, Government Policy, Capital, Construction & Cyber Security in Real Estate with Andreas Senie

PRACTICAL AI IN REAL ESTATE: POLICY, COMPLIANCE, AND THE HUMAN TOUCH

Andreas Senie Episode 11

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Join the roundtable as we connected real-world AI use cases with key policy issues such as the defense of 1031 exchanges, local tax proposals, and persistent challenges around interest rates, affordability, and supply constraints that still drive market outcomes. Roundtable hosts stressed that AI should augment—not replace—experienced professionals, and that guardrails, privacy, and quality control must anchor any deployment.


This month's Round Table Hosts:​
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Key Points

  1. AI is now a practical necessity across real estate sectors, improving speed, accuracy, and efficiency when governed by strong data, privacy, and IP policies.
  2. California’s enhanced-image disclosure law sets a compliance precedent likely to influence MLS listing practices and consumer protection nationwide.
  3. Bipartisan engagement remains vital: industry coalitions (e.g., 1031 exchange defense) must maintain relationships across the aisle amid shifting political dynamics.
  4. Enterprise-grade AI (e.g., Microsoft Copilot) reduces data leakage risks versus public tools; strict guardrails are essential for proprietary client data.
  5. AI standardizes documentation (e.g., construction bids), intensifying competition and necessitating deeper qualitative assessments, live interviews, and relationship-based vetting.
  6. Ethical marketing demands truthful representations, careful IP handling, and tailored prompting to avoid misleading content and legal exposure.
  7. Organizational adoption improves with designated champions, daily-use routines, chatbots/summarizers, and embedded documentation to accelerate answers and reduce friction.
  8. Access and adoption disparities (e.g., women 22% less likely to adopt AI) create equity challenges; education and support are needed to ensure inclusive benefits.
  9. Client-facing AI can irritate established relationships; deploy selectively with human touch and robust quality control.
  10. Macro fundamentals—interest rates, affordability, supply constraints—still drive real estate decisions; AI augments execution but doesn’t replace market basics.

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