The AI transformation is taking flight, but success hinges on a clear AI strategy to guide implementation and alignment with business priorities to deliver tangible value.
Key highlights
- Corporate real estate (CRE) AI adoption transforms the industry: The percentage of corporates piloting CRE AI solutions in APAC has surged dramatically from < 5% to 92% over three years, and AI-initiatives are now top priority in real estate tech budgets.
- Business priorities drive AI pilot focus: With 65% of APAC corporates facing CRE tech budget constraints, CRE teams are strategically channeling resources to priority use cases like portfolio optimization, energy management, and data-related workflows that support C-suite business objectives.
- A systematic AI roadmap strategy supported by a skilled workforce is the cornerstone of success: Corporates with successful CRE tech programs are characterized by a more systematic and innovation-driven approach to their AI roadmap and talent development strategy respectively.
Artificial intelligence is driving a profound transformation in Asia Pacific's commercial real estate (CRE) industry. Our latest findings from the JLL Global Technology Survey 2025, which gathered insights from over 1,000 senior decision-makers globally, including 380 occupiers across key APAC markets and industries like financial services, technology, and life sciences, have found that AI has rapidly evolved from a futuristic concept into a central business imperative, transforming the entire real estate lifecycle.
Corporate real estate (CRE) AI adoption transforms the industry
The pace of CRE-AI adoption in Asia Pacific has been staggering, with pilot programs soaring from under 5% to 92% in just three years. This surge represents a collective recognition that standing still is no longer an option.
The advantages offered by AI—from energy tracking analytics to anomaly detection—are too significant to ignore, and companies are racing to capture the benefits for a competitive edge.
The speed of change is faster than ever when it comes to AI
We have started piloting AI in select CRE use cases or plan to start this year
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