AI is rapidly reshaping how buildings are designed, built, operated, and optimized—moving the industry from rules‑based automation to intelligent systems that learn, predict, and improve performance. This session explores that evolution and the risks of delaying adoption as technology accelerates.
Panelists will share real‑world examples across energy, operations, and asset strategy, highlighting how AI is already improving reliability, forecasting demand, optimizing performance, and informing capital planning. Grounded in insights from CES and active deployments, this session offers a practical look at how autonomous, human‑centric buildings are emerging today—and how owners and operators can prepare their portfolios for what’s next.
Learning Objectives—At the end of the session, participants will be able to:
- Understand why AI in buildings has historically underdelivered—and why that is finally changing in measurable, scalable ways.
- Identify real world examples of how AI is transforming design, construction, leasing strategy, operations, asset management, energy performance, sustainability, and compliance.
- Define what “autonomous buildings” truly mean—beyond buzzwords—and understand the enabling technologies behind continuous learning, simulation, and self optimization.
- Develop a practical playbook for preparing buildings today, including what data actually matters, how to avoid stranded investments, and how to build an AI ready foundation that scales across a portfolio.
