Artificial Intelligence in Real Estate Companies
We analyzed the enterprise AI use cases of 10 real estate companies to understand trends, impact, and insights.
Real Estate companies' adoption of AI
Overview
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.
Lennar has progressively integrated AI technologies into its operations from 2023 through 2025, deploying AI-driven digital marketing and dynamic pricing (the 'Lennar Machine'), partnering with major tech firms for AI and data analytics, and advancing generative AI customer interactions across many homebuilding promotions.
Since Q2 2024, Dr. Horton's stock and market positioning have garnered attention partly due to macroeconomic factors like inflation reports affecting homebuilding optimism. Leadership figures named Mike Horton emerged prominently in AI roles related to transportation and innovation in Q3 2024, signaling a strategic focus on AI governance and oversight.
PulteGroup has progressively integrated AI technologies from 2022 through 2026, advancing from exploratory AI and machine learning in smart/sustainable homes to deploying AI-driven robotic construction systems like Hadrian X by early 2025, enabling rapid wall construction within a single day and improving financial and operational efficiencies.
Realty Income has incrementally explored and started adopting AI primarily in operational automation and tenant screening by early 2023, with increasing references to AI-driven efficiency gains by late 2024 and 2025.
Prologis has steadily integrated AI since Q3 2023, starting with investment in AI startup TestFit to enhance warehouse site selection, evolving to strategic deployment of AI in supply chain intelligence and decision-making.
Simon Property Group has significantly increased its AI adoption from 2023 onwards, launching AI-driven customer experience tools such as the HolidAI Gift Finder, AI personal shoppers ('elves'), and enhancing digital marketplaces with AI-driven search and recommendation systems.
American Tower has progressively integrated AI technologies primarily through partnerships (e.g., PowerX in Q4 2022 and IBM in Q1 2024) to optimize site operations and energy efficiency, supporting their network infrastructure and edge data center expansion.
Equity Residential has progressively expanded and accelerated its adoption of AI technologies since 2020, notably with the deployment of the AI Leasing Assistant 'Ella' handling 84% of inbound leasing inquiries by Q1 2022, evolving towards comprehensive AI leasing applications and delinquency management tools aimed at operational efficiency and improved financial outcomes.
AvalonBay Communities has progressively integrated AI technologies into its multifamily real estate operations since 2024, focusing on customer experience centralization, maintenance automation, and leasing processes, spearheaded by key executives like Rukevbe Esi and David Madrid.
48 Use Cases in Real Estate
| Company | Use Case |
|---|---|
| D.R. Horton | Operational Efficiency By integrating AI analytics into homebuilding processes, including zoning and site selection, Dr. Horton improves construction scheduling and supply chain decisions, thereby building homes faster and more cost-effectively. agentic |
| Prologis | Data Center Expansion Prologis uses AI-driven market analysis and operational automation to strategically expand and optimize its AI data center real estate, catering to the increasing demand for AI infrastructure and powering next-generation computing. agentic |
| Lennar | Predictive Analytics Lennar leverages predictive analytics and AI models to forecast market trends and optimize inventory management, helping to reduce risk and improve decision-making in homebuilding and sales. traditional |
| D.R. Horton | Land Acquisition Dr. Horton uses AI-native platforms like Prophetic to analyze real estate development opportunities and zoning regulations, enabling faster identification of suitable land for housing projects across multiple states. agentic |
| Prologis | Energy Management Prologis integrates AI with autonomous microgrid and energy infrastructure management to ensure reliable, resilient power for its logistics and data center facilities, optimizing operational continuity amid energy market volatility. agentic |
| CBRE Group | Talent Analytics CBRE analyzes AI skill demand and talent trends in North America’s tech workforce to predict labor market shifts critical for real estate leasing and office space planning. traditional |
| Realty Income | Market forecasting AI helps analyze large datasets to detect patterns and improve forecasting accuracy for market trends, portfolio risk, and investment opportunities for Realty Income's asset base. traditional |
| Simon Property | Agentic Operations Simon AI employs multi-agent AI systems to autonomously optimize leasing, retail analytics, and property management activities to improve operational efficiency and revenue capture. agentic |
| CBRE Group | Predictive Maintenance AI and machine learning on IoT sensor data forecast equipment failure and optimize energy usage across thousands of buildings, reducing downtime and operational costs. traditional |
| AvalonBay | Data-Driven Decision AvalonBay utilizes AI-based decision support systems to analyze proprietary data and optimize operational strategies, including pricing, maintenance, and energy usage for competitive advantage. agentic |