How AI Is Transforming Real Estate in 2025

AI can automate 37% of tasks in real estate, representing $34 billion in operating efficiencies. Areas most likely to benefit from AI include management, sales and related activities, offices and administrative support and installation, maintenance and repairs.Companies using AI to reduce on-site staffing report higher satisfaction from client and their own teams. AI could have a positive impact on the overall job market, which would benefit the real estate sector.Commercial real estate companies continue to identify opportunities to leverage technology and automation to increase sector efficiency and lower costs. GenAI can support property operations, acquisition strategy and porfolio planning in ways that could change how commercial real estate companies do business. A long – term strategic vision for GenAI that can evolve and address the need for safe, responsible and ethical AI use will be essential.

AI Transformation in Real Estate

From Digital Receptionists to HyperLocal valuation models, AI is transforming the real estate industry and paving the way for $34 billion in efficiency gains by 2030.

AI is transforming the real estate industry from sales to building management. Virtual assistants show properties to potential renters and buyers, some hotels are experimenting with humanoids at their front desk, AI tools help with property research and valuation, AI solutions staff buildings more efficiency, meeting customers only when and where they need assistance rather than maintaining staff on-site for fixed hours everyday.

Such AI innovation could lead to $34 billion in efficiency gains for the real estate industry by 2030. According to Morgan Stanley Research, which analyzed tasks performed by 162 real estate investment trust (REIT) and commercial real estate (CRE) firms, with a combined $92 billion of labor costs and 525,00 employees. The analysis indicated that 37% of the tasks that these companies perform can be automated, particularly in management, sales and relative activites, office and administrative support and installation, maintenance and repairs.

“Our recent works suggests that operating efficiencies, primarily through labor cost savings, represent the greatest opportunity for real estate companies to capitalize on AI in the next three to five years,” says Ronald Kamdem, Head of U.S. REITs and Commercial Real Estate Research at Morgan Stanley.

How AI Can Cut Costs

The technological transformation of real estate gained traction during the Covid-19 pandemic, when many companies were forced to adapt to employees working from home and interactions between customers and real-estate agents became limited.  In the self-storage business, for example, one company said that 85% of its customer interactions are currently occurring through self-selected digital options. The firm was able to reduce on-property labor hours by 30% through AI-powered staffing optimization.    In the residential sector, another company has lowered the number of full-time employees by 15% since 2021 and said productivity increased with the use of AI.   Despite the reduction in on-site staffing, companies reported higher satisfaction among both customers and their own teams. 

Generative AI

Generative AI is the next step in the evolution of Artificial intelligence(AI). GenAI can Create new content based on data it has been trained on, with will catalyze foundational shifts in business and operating models and give users the capability to perform an array of tasks at lightning speed. GenAI applications such as ChatGPT have already attracted a record number of users and investment form both established technology players and startup across sectors. The potential use cases for GenAI span a wide range of functional areas, including sales and marketing, finance, operations, HR and IT. GenAI span a wide range of functional areas, including sales and marketing, finance, operations, HR and IT. Gen AI is being compared with digital transformation that started in the early 2000s, which unleashed innovation and disruption across every industry, including real estate.

AI Implementations

Given the wide range of possibilities, real estate companies should start with developing a GenAI approach that includes:-

• Use Case & Process Transformation – Identify short-, medium-, and long-term applications. Redesign workflows with a transformative mindset. Build a business case outlining benefits and ROI.
• Technology Roadmap – Conduct “buy/build/acquire/wait” analysis. Define infrastructure needs, acquisition plan, costs, and timelines.
• Responsible & Ethical AI – Train staff on secure, ethical AI use. Ensure transparency in data practices. Establish governance, third-party reviews, and risk-mitigation plans with compliance and legal teams.
• Organizational Transformation – Create an adoption plan and transformation roadmap with measurable goals, progress reviews, and accountability mechanisms.
• Talent Transformation – Upskill current staff, hire new talent as needed, and align people strategy with business objectives to maximize GenAI impact.

Conclusion

AI is becoming a core driver of real estate efficiency, with the potential to automate 37% of tasks and generate $34B in savings by 2030. Early adopters are cutting costs, boosting satisfaction and unlocking new capabilities in sales, management and strategy. Generative AI will further transform the industry through real-time insights and HyperLocal analysis, but success hinges on responsible use, strong governance, and talent upskilling. Those who act now will gain a lasting competitive edge in a tech-driven market.