Analysts at Keefe, Bruyette & Woods argue the market rout overstates the immediate threat artificial intelligence poses to labor-intensive real estate advisory work, even as CBRE posts strong quarterly results.
Shares in some of the world’s largest commercial property services firms plummeted this week as investor anxiety over artificial intelligence disruption spread to the real estate sector, erasing billions of dollars in market capitalization in a matter of days.
The sell-off, which began on Wall Street and rippled across European markets, marked the latest chapter in a widening market rout triggered by the release of new AI tools from firms including Anthropic, the company behind the Claude chatbot. The wave of selling has moved from legal software, publishing, and analytics companies last week to insurance firms, price comparison sites, wealth managers, and now commercial real estate service providers.
On Wall Street, Dallas-based CBRE saw its shares drop 12.5 percent on Thursday after even sharper declines the prior session. Jones Lang LaSalle lost nearly 11 percent, while Cushman & Wakefield fell 9.1 percent over the same period. In London, Savills declined 7.5 percent and International Workplace Group, the parent company of the Regus serviced office brand, shed 9 percent. Major UK property developers British Land and Landsec also slid, dropping 2.6 percent and 2.4 percent respectively, according to The Guardian.
The declines reflect a broader investor concern that AI could automate a wide range of office-based tasks, potentially leading to significant job losses and, by extension, reduced demand for office space — a scenario that would strike at the heart of the property services business model.
Jade Rahmani, a commercial real estate analyst at New York-headquartered Keefe, Bruyette & Woods, indicated that investors appear to be rotating out of high-fee, labor-intensive business models they view as potentially vulnerable to AI-driven disruption, according to the Guardian’s reporting on Thursday. However, Rahmani also suggested the sell-off may be exaggerated, arguing it likely overstates the immediate risk to complex deal-making, even as the long-term impact of AI on the sector remains uncertain.
The market reaction stands in contrast to CBRE’s strong financial results, which the company reported on Thursday. Fourth-quarter revenue reached $11.6 billion, a 12 percent increase, while core earnings per share came in at $2.73, above analysts’ consensus estimates. For full-year 2025, CBRE posted revenue of $40.6 billion, representing a 13 percent year-over-year increase.
CBRE also issued a 2026 profit forecast that exceeded Wall Street expectations, citing strong momentum in leasing and facilities management. The company noted that the rapid expansion of data centers and the billions of dollars flowing into AI infrastructure are, paradoxically, providing a tailwind for the very real estate services sector that AI fears are punishing in the equity markets.
CBRE’s chief executive, Bob Sulentic, addressed the AI disruption narrative directly, according to The Guardian. Sulentic indicated that he believes AI will ultimately benefit the business in the long run and described the company’s transaction and investment advisory work as the areas most insulated from technological disruption. He argued that clients engage the firm for its creativity, strategic thinking, negotiating skills, market knowledge, and relationship network — capabilities he does not expect AI to replace in the foreseeable future.
The divergence between CBRE’s operational performance and its stock price movement underscores a market environment where sentiment around AI disruption is, at times, running ahead of fundamentals. Analysts have noted that while AI will undoubtedly reshape aspects of the commercial real estate services industry over time, the complex, relationship-driven nature of major property transactions may provide a durable moat for incumbent firms.
Still, the breadth of the sell-off — spanning from technology-adjacent sectors to traditional real estate — suggests investors are broadly repricing exposure to any business model with significant labor costs and process-oriented workflows. Whether this repricing proves prescient or premature will likely depend on how quickly AI tools evolve from automating discrete tasks to handling the kind of multi-stakeholder, judgment-intensive work that defines commercial real estate advisory.
For now, the sector finds itself at an uncomfortable crossroads: reporting solid fundamentals while watching the market discount a future that has not yet arrived.
