“下一个AI受害者”出现了,房地产服务股遭抛售,创疫情以来最大单日跌幅
Hua Er Jie Jian Wen·2026-02-11 23:06

Core Viewpoint - The stock prices of real estate service companies have significantly declined as investors reassess the vulnerability of these firms to artificial intelligence applications and tools [1][3]. Group 1: Market Reaction - On Wednesday, CBRE Group and Jones Lang LaSalle saw their stock prices plummet by 12%, while Cushman & Wakefield dropped by 14%, marking the largest single-day declines since the market sell-off in 2020 [1]. - Analysts from Keefe, Bruyette & Woods noted that investors are withdrawing from high-fee, labor-intensive business models perceived as susceptible to AI-driven disruption [3]. - Barclays analyst Brendan Lynch described the stock price drop as "excessive," attributing part of the selling pressure to concerns over AI's potential disruption to the job market and commercial real estate demand [5]. Group 2: Industry Impact - The commercial real estate sector is facing additional challenges, having struggled to recover since the pandemic, with changes in office demand and high interest rates severely limiting transaction volumes [4]. - Despite the AI boom providing growth opportunities in certain segments, such as data centers and high-end office leasing, investors are weighing whether advancements in AI will ultimately pressure some business operations through automation and streamlined processes [4]. - CBRE and Jones Lang LaSalle have been attempting to mitigate the impact of market downturns by expanding their services into property management, valuation, and investment sales across various sectors, including hotels, warehousing, apartments, and life sciences laboratories [4]. Group 3: Long-term Perspectives - Analysts believe that the immediate concerns regarding AI's threat to leasing and capital markets are limited, as CBRE and its peers benefit from significant scale advantages, including data and industry relationships [6]. - While there is a consensus that the market's fears regarding immediate AI risks may be overstated, there remains a cautious outlook on the long-term implications of AI [6].