Have you ever wondered what it takes to run technology for one of the largest commercial real estate companies in the world? That question informs my conversation with Yao Morin, Global CTO at JLL, as we look at how AI is changing the places where we work, shop and gather.
Real estate may seem traditional from the outside, but inside JLL the pace is intense. With over 5 billion square feet under management and huge volumes of daily activity, the pressure on real estate teams is real and the limits of manual work are easy to see.
Yao explains how this reality led to the creation of Property Assistant, JLL’s new AI solution built on JLL Falcon. Falcon serves as the company’s business AI foundation, providing teams with a secure and scalable way to use data for global operations. She describes how the platform hides the complexity so that developers and real estate teams can work with AI without thinking about what model is behind it.
We discuss everyday examples, such as crowded meeting rooms and confusing layouts, that the assistant can highlight and address through recommendations based on live sensor data.
The assistant goes much further than space planning. It helps teams understand rising tenant concerns, work order patterns and hidden risks before they develop into larger operational issues.
Yao sees AI as a partner that handles the heavy data processing so people can focus on the messy human context. That balance is central to the way JLL develops its tools, and she explains why this approach gives real estate teams more confidence and clarity in rapidly changing environments.
We also investigate how AI influences the future design of buildings. As hybrid work, flexible retail, and rising industry needs continue to shift demand, AI can aggregate layouts, analyze usage, and provide guidance at a speed that traditional methods can’t match.
This creates a continuous feedback loop that helps teams adjust the space before frustrations increase. For Yao, it’s a way to bring real-time insight to an industry that once relied on long cycles and guesswork.
Security often comes up in our conversation. Yao explains how Falcon enforces monitoring, privacy controls, and consistency across the company, which is essential when working with sensitive customer data in many regions. A centralized platform allows JLL to invest deeply in security measures rather than spreading risk across dispersed instruments. She highlights how trust is at the heart of the brand and why it informs every AI decision they make.
As we move into the future, Yao shares how JLL is expanding its pipeline to more than fifty AI assistants focused on productivity, customer insight and sustainability. She provides examples of tools that adjust energy consumption and support portfolio planning, and provides insight into how AI will support both performance and environmental goals. It is clear that AI has moved from experimentation to everyday use within JLL, with real business impact already starting to take shape.
The episode concludes with a powerful reflection on leadership and representation. Yao opens up about her own journey, the weight of visibility, and how she’s learned to turn moments of feeling out of place into motivation. She explains why active sponsorship is important, why connection is a measurable business priority, and how diverse viewpoints reduce blind spots in product design. Her message is sincere, practical and full of hope for the next generation of leaders.
As you listen, I’d like to know what part of Yao’s story sticks with you. Do you see AI changing your own workplace or the spaces you walk through every day? And how do you think better representation shapes the products we build? Share your thoughts and join the conversation.
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