Core Insights - The real estate industry is rapidly adopting AI technology, moving from general models to vertical applications, with significant potential for transformation in various operational areas [1][2][3] Group 1: AI Adoption in Real Estate - Major real estate companies are integrating AI into investment, land acquisition, customer research, product design, construction, marketing, and services, indicating a pre-explosion phase for AI applications in the sector [1] - AI-driven marketing strategies have shown significant results, with one top company reporting approximately 1,700 units sold through targeted AI marketing efforts this year [1] - The shift from theoretical discussions about AI capabilities to practical applications is occurring faster than expected, with AI tools being tested in specific real estate scenarios [2] Group 2: Impact on Business Models and Operations - The integration of AI is expected to transform the roles, organizational structures, and operational models of real estate companies, shifting them from developers to professional operators [3][4] - AI is facilitating data-driven decision-making in real estate, replacing intuition-based site selection and pricing with algorithm-driven dynamic pricing [4] - The standards for what constitutes a "good house" are likely to change, with smart homes becoming essential rather than just marketing gimmicks [4] Group 3: Challenges in AI Implementation - Data quality is identified as the biggest obstacle to AI implementation in the real estate sector, affecting the entire market rather than individual companies [6] - The low level of digitalization in the real estate industry presents challenges for AI integration, necessitating a foundational shift in digital infrastructure [6] - The year 2026 is anticipated to be a breakthrough year for vertical AI applications in China, with a focus on enhancing data accessibility and understanding within the real estate sector [6][7]