The wave of AI is washing over the real estate industry. AI is not merely a "replacement" but a means of "deepening" the quality of work. By leveraging AI as a partner, tasks that once took considerable time — such as appraisals and customer interactions — can be automated, allowing professionals to focus on higher-value activities. Below, we outline the key points of business redesign, the significance of deepening operations, the challenges of implementation, and the future vision, all drawn from our experience at INA&Associates.
Latest AI Use Cases (Property Valuation, Customer Support, Recommendations, Contract Creation, and More)
Concrete examples of AI-powered services are multiplying in the real estate industry. In property valuation, AI analyzes vast volumes of transaction data rather than relying on experience-based rules, delivering objective and highly accurate appraisal prices.
-
Chatbot-based customer service: AI chatbots respond to customer inquiries 24 hours a day, 365 days a year, enabling immediate responses even outside business hours. AI handles tasks like providing basic property information and coordinating viewing appointments, freeing agents to focus on complex negotiations and proposals.
-
Property recommendations: AI learns from customers' desired conditions and browsing history to automatically suggest the most suitable properties for each individual. This enables data-driven, high-precision property introductions without depending solely on a sales agent's experience.
-
Automated contract and document creation: Features that use AI to generate and review drafts of contracts and important explanation documents are now emerging, advancing the automation of administrative work. For example, it has been pointed out that routine tasks such as contract creation and document updates will be streamlined by AI in the future.
-
Other applications: A wide range of applications are being explored for improving operational efficiency and service quality, including automatic generation of market analysis reports, automated creation of advertising copy and flyers, and AI avatar-based initial customer service.
Human Business Redesign Accompanying AI Evolution
The introduction of AI requires people to shift toward more "advanced tasks" than ever before. The following skills and roles will specifically be demanded:
-
Deepening real estate expertise: It will be necessary to further sharpen advanced knowledge in areas such as law, taxation, and regional markets, and to appropriately interpret and supplement the information presented by AI. In particular, advice that takes into account complex factors such as building age, location, and degree of deterioration will differentiate human expertise.
-
Data analysis and AI tool proficiency: The ability to handle large amounts of data, leverage AI-based market forecasts and closing probability models, and make optimal proposals is crucial. For example, using AI to predict market trends or analyze customer behavioral data for needs assessment enables higher-precision decision-making and proposals.
-
Relationship-building with customers: "Human-touch responses" and "providing peace of mind and trust" that AI cannot fully automate are indispensable. Real estate involves high-value transactions, and customers seek emotional support as well. The ability to deeply understand customers through appropriate listening and deliver accurate proposals to enhance their satisfaction is key to closing rates.
-
Adaptability and innovation mindset: Flexibility to adapt in a rapidly changing market and technological environment, and the will to pursue new business models and service creation, are also necessary. Differentiation through new ideas — such as subscription-style housing services or development of rural markets — will determine competitiveness.
-
Cross-functional collaboration: Playing a bridging role — collaborating with specialists in finance, law, and architecture, and co-designing new services with AI and digital tool developers — will also grow in importance. Such emerging cross-functional roles (e.g., prompt engineers) support the co-creation of AI and humans.
The Significance of "Business Deepening" Rather Than Mere "Efficiency"
The essence of AI adoption lies not in simple efficiency but in enhancing customer value. AI can dramatically transform the "customer experience" through 24/7 chatbots and VR/AR property tours. For example, VR tours and chatbot utilization are expected to transcend physical limitations and increase customer satisfaction. Additionally, the realization of "advanced decision-making precision" based on AI big-data analysis is important. Price and investment decisions that were previously made by intuition and experience can now be made more precisely using AI analysis, reducing risk. Furthermore, the capacity freed up by delegating routine tasks to AI can be redirected toward "creating added value." By leveraging technology to provide services that exceed customer expectations, real estate companies can evolve from mere information intermediaries into value creators.
Challenges at the Implementation Level (Skill Gaps, System Understanding, Organizational Mindset)
AI adoption requires preparation and addressing challenges. First, as technical challenges, collecting sufficient quality and quantity of data, improving AI model accuracy, and integrating with existing systems are key issues. In addition, it is necessary to clearly distinguish between tasks suitable for AI and tasks for humans. Tasks at which AI excels — mass data processing and routine work (such as price calculation and FAQ responses) — should be actively automated, while tasks requiring creativity or flexible responses (such as handling disputes or individual negotiations) should remain with humans, designing a collaborative framework.
In terms of human resources and skills, securing and developing talent who can understand and effectively use AI is urgent. Where internal AI specialists are scarce, hiring, external collaboration, and internal training for reskilling are needed. Existing employees must also acquire new skills to complement AI (data literacy, AI tool operation) and advance the "mindset shift toward working with AI."
Furthermore, organizational mindset transformation is vital. Deepening understanding of DX promotion within the company, strengthening cross-departmental collaboration, and working to dispel resistance to AI adoption are required. Strategically introducing AI while progressively resolving these organizational challenges is the key to success.
Future Outlook: Real Estate Services Co-Created by AI and Humans
As AI evolves, the future vision of real estate services expands greatly. For example, new business models are anticipated — such as direct transaction platforms without intermediaries combining blockchain and AI, and housing subscription models integrating property provision and lifestyle support. In this transformation, real estate agents will shift their role from "property introducers" to "specialist advisors on life planning and investment strategy." AI will handle customer dialogue and data analysis, while humans add value through creativity and trust-building, advancing co-creation. In fact, cases have been reported where AI utilization has improved closing rates by over 30%, and it can be said that next-generation real estate services in which AI and humans collaborate will determine competitiveness. In the future, services combining the strengths of technology and people — such as virtual property tours via AI avatars and AI life plan proposals — will become commonplace.
As outlined above, the introduction of AI brings not only "efficiency" but also "deepening" to real estate operations. While realizing enhanced customer experience and advanced decision-making, humans shift to more creative and strategic roles, and the industry as a whole is expected to evolve to a stage where new added value is created.
