Consultation on various matters including:
In a recent whitepaper, pom+Consulting AG offers an in-depth analysis of the role of artificial intelligence (AI) throughout the entire lifecycle of real estate.
The report highlights the widespread use of AI in the utilization and operation phase, where it is employed for automated control of technical facilities, optimization of cleaning and waste processes, digital customer interaction, contract verification, and management of large data volumes. However, the scarcity of AI solutions in the planning phase of the real estate industry is a notable finding.
Notable companies and researchers developing and testing AI solutions in the planning phase include startups like syte, which uses AI to revolutionize real estate processes, and aedifion, whose CEO Johannes Fütterer emphasizes their use of AI for building energy efficiency. Major real estate and consulting firms such as Drees & Sommer are also exploring AI-driven scenario developments for property usage, supported by data from the Digitalization Study 2025 by ZIA and EY Parthenon, which shows over 90% of companies see AI as a key technology soon to be widely applied in the sector.
Despite the potential for important decisions regarding future energy consumption and operating costs to be made in the planning phase, AI solutions are not widely used in this phase. The report indicates that AI is currently seen primarily as a tool for efficiency gains, risk reduction, and value optimization, rather than as a means to improve user experiences or services in the real estate industry.
The whitepaper classifies and assigns 55 AI solutions to 24 overarching use cases in the real estate industry. AI is primarily used by strategic decision-makers such as investors, owners, and portfolio managers, who benefit from data-based valuation models, portfolio analyses, and identification of CO2 savings potential.
However, the building sector is still in the experimental phase, with many pilot projects, few scaled solutions, and a lack of reliable data. The report states that users and tenants are hardly addressed in current AI applications in the real estate industry.
The whitepaper concludes that while AI is being extensively used in the utilization and operation phase, the planning phase remains underserved. It emphasizes the need for more reliable data and the development of AI solutions tailored to the needs of users and tenants to fully realise the potential of AI in the real estate industry.
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