Just 5% of CRE companies have achieved their AI goals. Here's why

The commercial real estate (CRE) sector is rapidly accelerating its adoption of artificial intelligence, with a recent JLL survey of over 1,500 decision-makers revealing that 88% of investors and owners are piloting AI across an average of five use cases, a significant increase from just 5% two years prior. While only 5% have achieved all initial goals, companies are shifting their focus from operational efficiency to revenue generation, utilizing AI for critical applications like investment risk modeling and portfolio decisions. This strategic pivot, requiring substantial budget increases and a rethinking of operating models, indicates a transformative period for CRE as firms prioritize AI for competitive advantage despite economic headwinds.

Analysis

The commercial real estate (CRE) sector is experiencing a significant acceleration in artificial intelligence (AI) adoption, with a recent JLL survey indicating 88% of investors and owners are piloting AI across an average of five use cases, a substantial increase from just 5% two years prior. This rapid integration signifies a strategic pivot within the industry, moving beyond mere operational efficiency to leveraging AI for revenue generation and competitive advantage, as evidenced by its application in investment risk modeling and portfolio decision-making.

Despite the widespread adoption, only 5% of respondents have achieved all their AI program goals, suggesting that while enthusiasm is high, successful implementation for revenue-driving applications requires fundamental changes to operating models. Nevertheless, companies are committing significant capital, with over half of surveyed investors reporting substantial budget growth for AI over the past two years, prioritizing strategic advisory and robust security infrastructure.

JLL, as a key facilitator and surveyor of this trend, stands to benefit from increased demand for strategic advisory services related to AI integration in CRE. The optimistic general sentiment (0.7) and positive per-ticker sentiment for JLL (0.6) reflect market recognition of its role in this transformative period. This shift indicates a maturing approach to AI, where firms are tackling complex business problems rather than just low-risk tasks, suggesting a deeper, more impactful integration across the CRE landscape.

Key Decisions for Investors

• Investors should assess commercial real estate firms for their advanced AI integration strategies, particularly those focusing on revenue generation and competitive advantage rather than just operational efficiencies.
• Consider technology providers specializing in AI solutions for real estate, especially those offering strategic advisory and cybersecurity, given the significant budget increases reported in these areas.
• Monitor JLL's strategic positioning and financial performance, as its role in facilitating and analyzing CRE AI adoption suggests potential benefits from this industry transformation.
• Recognize that despite rapid AI adoption, successful implementation for achieving revenue goals is complex, requiring careful due diligence on companies' execution capabilities and realistic expectations.