穿越经济周期：AI 如何重塑空间韧性与长期价值

Group 1 - The core theme of the dialogue is the resilience test of smart spaces in the context of the "stock era," focusing on the revitalization of existing assets under the guidance of policies like "controlling increment, reducing inventory, and optimizing supply" [3][4] - The discussion highlights the shift from traditional "development-sales" models to collaborative operational models, emphasizing the need for existing assets to possess resilience against risks and uncertainties [4][10] - AI technology is identified as a key enabler in addressing operational pain points, enhancing efficiency in various applications such as outdoor cleaning and security robots, which have improved their performance significantly due to AI [5][6] Group 2 - The panelists agree that traditional metrics like occupancy rates and rental prices are insufficient for measuring true asset resilience, advocating for a multi-dimensional approach that considers the health of the industrial ecosystem and the ability to maintain value across economic cycles [7] - The integration of AI in property management has led to significant cost reductions and improved service quality, with examples of automated processes replacing cumbersome manual approvals [6][8] - Future operational paradigms are expected to center around human-machine collaboration, with predictions that robots will gradually take over 90% of processes, transforming the workforce into versatile problem solvers [9][10]