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November 01.2025

2 Minutes Read

Why Only 5% of CRE Firms Realize Their AI Goals and What's Next

AI goals in commercial real estate depicted by modern skyscrapers.

Exploring AI Adoption in Commercial Real Estate

The world of commercial real estate (CRE) is undergoing a significant evolution as companies increasingly pivot toward adopting artificial intelligence (AI). A recent survey by JLL reveals that 88% of investors, owners, and landlords have launched AI pilots, with many trying out an average of five different use cases simultaneously. However, only 5% of these companies claim to have achieved all their AI goals, which points to the challenges within this transformation.

Understanding the Implementation Hurdles

Despite the enthusiastic quest to use AI in their operations, firms are struggling to meet their objectives primarily because their expectations have shifted. AI initiatives are moving beyond simple operational improvements to directly tying into revenue goals. As Yao Morin from JLL points out, while the high adoption rate is a promising sign, the complexity of integrating AI into core operational strategies remains a significant barrier. Firms that initially focused on efficiency are now asked to rethink their business models, making successful implementation a complex task.

The Balancing Act of Technology and Human Expertise

As organizations work to redefine their AI goals, a critical component of success lies in balancing technology with human expertise. Many fear AI might replace core decision-making roles, but in reality, successful firms leverage AI to enhance their teams’ capabilities rather than replace them. By automating basic tasks, employees can focus on higher-level strategic decisions, effectively bridging the gap between data and actionable insights.

Future Trends in AI for Commercial Real Estate

Looking ahead, the potential for AI in commercial real estate is vast, especially as companies begin to recognize its value beyond simple efficiencies. The ability to analyze complex datasets, enhance due diligence processes, and improve investment models will continue to shape the industry's future. CRE companies need to stay nimble and adaptable, constantly learning how to integrate AI effectively within their existing processes to harness its full potential.

Conclusion and Call to Action

The future of AI in commercial real estate holds a wealth of opportunities. As the industry grapples with its challenges, understanding the nuances of implementation will be crucial for success. For business leaders and tech-savvy professionals, it’s time to engage with these AI tools and explore how they can redefine operational workflows and enhance decision-making in commercial real estate. Dive into the transformation!

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Why Only 5% of CRE Firms Realize Their AI Goals and What's Next

Exploring AI Adoption in Commercial Real Estate

Understanding the Implementation Hurdles

The Balancing Act of Technology and Human Expertise

Future Trends in AI for Commercial Real Estate

Conclusion and Call to Action

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