AI @ CBRE Group
Summary
- CBRE Group has progressively scaled its adoption of AI and machine learning technologies from Q4 2023 through 2025, leveraging proprietary platforms like Capital AI and Ellis AI to enhance operational efficiency, market prediction accuracy, and client services.
- Key financial and operational impacts include a 25% reduction in manual lease processing times by Q4 2023, and substantial cost savings and market insights through AI-enhanced data analysis applied to real estate investment management, supported by partnerships with tech giants such as Nvidia.
- The company actively fosters innovation internally via hackathons and externally by offering AI advisory services, signifying a comprehensive AI strategy that improves customer experience, reduces costs, and bolsters decision-making capabilities across commercial real estate sectors.
VIBE METER
6 AI Use Cases at CBRE Group
Facilities Maintenance2025
AI Advisory2025Customer Facing
Digital Assistance2025
Data Collection2024
Market Prediction2024
Lease Processing2023
Timeline
2025 Q4: no updates
2025 Q3
CBRE’s Capital AI platform set new standards in real estate investment intelligence using machine learning on IoT sensor data to enable predictive maintenance, prevent equipment failure, and reduce operational downtime across facilities.
2025 Q2
The AI boom drove heightened demand for data centers supporting AI computations, especially in Asia Pacific. CBRE ran global innovation hackathons fostering AI-driven solutions for business challenges, emphasizing effective technology implementation in corporate real estate teams.
2025 Q1
CBRE partnered with Nvidia to provide AI advisory services helping clients accelerate AI adoption using Nvidia technologies. CBRE embedded AI via Ellis AI digital assistant, enhancing workplace technology, operational productivity, and customer experience.
2024 Q4
AI impacts extended into life sciences real estate portfolios with CBRE advising biotech clients on adapting to AI-driven market shifts. CBRE Investment Management deployed AI-enhanced data collection models analyzing global real estate secondaries transactions, identifying potential savings exceeding US$23 billion annually.
2024 Q3
CBRE formally launched Capital AI, an advanced tool analyzing billions of proprietary data points to enhance real estate investment strategies. AI was integrated into smarter facilities management and economic/societal change prediction supporting informed decision-making.
2024 Q2
CBRE published viewpoints on AI’s impact on the future workplace and demonstrated AI’s ability to predict market movements, anticipate asset failures, and optimize building management operations, improving sustainability and operational costs.
2024 Q1
CBRE continued its AI investment, with competitors Cushman & Wakefield discussing alternative AI strategies; CBRE remains a leader building proprietary AI capabilities and partnerships.
2023 Q4
CBRE launched an AI playground enabling employees to safely use LLMs and generative AI tools. Under Sandeep Davé’s leadership, machine learning was used to reduce manual lease processing times by 25%, while the company emphasized AI and cloud technologies to enhance efficiency and ESG goals.