报告：AI在不动产和建筑领域大多处于“叫好不叫座”状态

Core Insights - The real estate and construction industry has reached a consensus on the future of intelligence, but the application of AI remains largely underutilized due to the rapid pace of technological advancements outstripping organizational capabilities and strategic alignment [1][2] - A systemic transformation is required for companies to successfully navigate the current challenges, moving from "experience-driven" to "intelligent decision-making" [1] Group 1: Industry Challenges - The traditional real estate sector faces data silos and high system integration complexity, making the transition to intelligent decision-making difficult [1] - The construction industry is hindered by a lack of standardization, complex system integration, long investment cycles, and a shortage of multidisciplinary talent, necessitating a shift from a "passive" to an "active" approach [1] - The competition in the real estate asset management sector is evolving from "information disparity" to "model disparity," requiring a balance between short-term returns and long-term managerial capabilities [1] Group 2: AI Integration and Future Directions - The real estate and construction sectors require AI as a supportive framework, with increasing competitive pressure leading to a struggle between short-term returns and long-term value [2] - The industry is encouraged to leverage AI models to empower internal and external users, reshape business processes, and enhance operational efficiency in real estate asset management [2] - The report suggests evolving AI capabilities from "tool empowerment" to "ecosystem reconstruction," expanding industry boundaries from "traditional real estate" to "corporate real estate" and a multi-scenario "pan-real estate" ecosystem [2]