AI @ CBRE Group
Summary
- CBRE has shown a steadily increasing and broad integration of AI technologies from Q4 2023 through Q1 2026, shifting from initial experimentation to full-scale implementation across real estate investment, operations, and advisory services. Key AI-driven tools include the Capital AI platform for investment intelligence and the Ellis AI digital assistant enhancing workplace productivity.
- Notable leadership in AI adoption includes Sandeep Davé and collaborative partnerships such as with Nvidia, while AI has tangibly reduced manual lease processing times by 25%, enabled predictive analytics for market and asset management, and driven demand for AI-specialized tech talent as reflected in their North America Scoring Tech Talent Report.
- Financially, CBRE Investment Management quantified AI-enabled efficiencies generating over US$23 billion in annual transactional volume in real estate secondaries, with AI applications improving operational cost savings, predictive maintenance, and accelerating office market recovery through technology-driven leasing demand.
VIBE METER
6 AI Use Cases at CBRE Group
Talent Analytics2025
Predictive Maintenance2025
Data Center Demand2025
Digital Assistance2025Customer Facing
Investment Analysis2024
Lease Processing2023
Timeline
2026 Q1
CBRE's Ellis AI platform continues to revolutionize commercial real estate through generative AI digital assistants, significantly enhancing productivity and operational efficiency in CRE services.
2025 Q4
CBRE identified a new blueprint for digital infrastructure driven by AI companies requiring data centers with large power capacities. The firm utilized AWS technologies to power unified property management search and digital assistant features, advancing AI in operational property management.
2025 Q3
CBRE's annual North America Scoring Tech Talent report marked a surge in AI-related job demand and wages, underscoring AI's growing economic impact. The Capital AI platform set new industry standards by enabling faster due diligence, predictive maintenance across over one billion square feet, and operational efficiencies.
2025 Q2
CBRE highlighted AI as a catalyst for office space demand and workplace technology innovation. The company energized its innovation culture through a global AI hackathon, while market demand surged for AI-capable data centres amid supply and power constraints.
2025 Q1
CBRE launched Ellis AI, a GenAI platform delivering digital assistants that improve commercial real estate productivity. The company strengthened AI advisory services through partnerships, notably with Nvidia, signaling deepening AI ecosystem integration.
2024 Q4
AI-driven insights began transforming niche sectors like life sciences real estate. CBRE Investment Management applied AI-enhanced data collection methods to analyze global real estate secondaries transactions exceeding US$23 billion annually.
2024 Q3
CBRE unveiled Capital AI, a platform analyzing billions of proprietary data points to revolutionize real estate investment decisions, enhance due diligence, and provide predictive operational insights. The company also focused on AI's societal prediction capabilities and set new industry standards for AI integration across commercial real estate.
- CBRE UK: CBRE's AI journey: Shaping the future of real estate
- CREtech: CBRE Launches Capital AI to Revolutionize Real Estate Investment Strategies
- PitchGrade: CBRE Group: AI Use Cases 2024
- CBRE: CBRE Unveils Capital AI: Unlocking the Power of Real Estate Investment Property Data
- CoStar: Can AI predict societal change? CBRE thinks so
2024 Q2
CBRE explored AI's impact on future workplaces and sustainable growth. AI was used to predict market movements, asset failures, and optimize building management, driving cost reductions and efficiency improvements.
2024 Q1
CBRE continued heavy investments in AI technology platforms, standing out in the industry compared to competitors like Cushman & Wakefield. The market recognized CBRE's strategic AI investment approach.
2023 Q4
CBRE launched an AI playground as a self-service platform enabling employees to safely leverage LLMs and generative AI. Under Sandeep Davé's leadership, they achieved a 25% reduction in manual lease processing times. The company started leveraging data, AI, and cloud to improve operational efficiencies and ESG objectives.