On-Demand Webinar + White Paper
AI in Real Estate: Building the Team That Wins
AI is not simply allowing companies to complete the same work faster. It is changing what organizations require. Watch the webinar and download the white paper AI in Commercial Real Estate: Beyond Efficiency, on how artificial intelligence is improving work, preserving knowledge, and reshaping talent.
- AI should improve the quality of work, not simply the speed of work.
- It can preserve institutional knowledge and make decades of organizational experience immediately accessible.
- Human review remains essential because neither AI nor people are infallible.
- Technology must be trained, employees must be trained, and both must continue learning.
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About the Webinar & White Paper
Artificial intelligence is rapidly changing commercial real estate, healthcare real estate, investment banking, development, asset management, and property operations. Much of the public discussion has centered on speed, automation, and job displacement. Conversations with industry leaders, combined with current research, point to a more nuanced reality.
The greatest value may not come from replacing professionals. It may come from removing repetitive work, improving the quality of analysis, making decades of organizational knowledge immediately accessible, and allowing experienced people to spend more time applying judgment.
In the webinar, Amy Bauer and Katie Becker, Managing Principals and Co-Founders of CA Search Advisors, and Jonathan Buckelew, Co-Founder of CRE AI Studio, discuss how to build a team that competes in AI.
The white paper is written by Amy Bauer and Katie Becker and published by CRE Search Partners, a partnership of CRE Daily & CA Search Advisors.
Inside the White Paper
AI in Commercial Real Estate: Beyond Efficiency
AI should improve the quality of work
The primary value of AI should be improving the quality of work. Speed is the wrong driver.
Institutional knowledge is becoming a competitive advantage
One of AI’s most practical applications is its ability to preserve and retrieve institutional knowledge.
The profile of the future hire will be different
AI may not eliminate the need for junior analysts, but it may reduce how many are required and change the capabilities firms expect them to possess.
The chicken-and-the-egg problem
Companies need experienced people to review AI, but those people must first be given opportunities to gain experience.
Organizations need dedicated AI leadership
AI implementation cannot remain an informal side project assigned to whoever happens to be most interested in the technology. Organizations need clear ownership.
Human skills will become more valuable, not less
As AI assumes more analytical and administrative work, distinctly human capabilities become more important.
AI will not remove the need for expertise. It will raise the standard for it.
Watch the webinar and download the full white paper, free and on demand.