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It is normal for traditional business models to go through periods of strain—this often drives innovation and reshaping. Some companies, however, end up swimming against the tide in their attempts to reinvent themselves.
Despite operational results considered solid, companies such as CBRE and JLL are facing a confidence shock that goes beyond a slowdown in business. Investors are beginning to question whether the sector, as it has been designed over recent decades, remains economically defensible in a world increasingly shaped by artificial intelligence, automation, and shifting demand for traditional office space.
The clearest signal has come from capital markets. In recent weeks, shares of real estate brokerages have been hit by aggressive sell-offs, wiping out tens of billions of dollars in market value—even after earnings reports that, on paper, showed no signs of imminent collapse.
CBRE’s case is the most emblematic. The company reported record revenue, earnings above expectations, and double-digit growth in 2025. Even so, its stock was sharply punished, a reaction that suggests investor fatigue with the sector’s traditional narrative.
According to a report by The Wall Street Journal, the wave of selling reflects an increasingly explicit fear: growing distrust of artificial intelligence within the real estate industry.
Companies’ official messaging seeks to downplay the risk. Executives insist that AI will not replace brokers, that the “human factor” remains irreplaceable, and that real estate transactions are still too complex to be automated. CBRE CEO Bob Sulentic has gone so far as to say he sees “almost zero risk” of meaningful disintermediation. The market, however, appears far less convinced.
Startups and AI-driven tools can already deliver, in a matter of hours, market analyses, feasibility studies, and reports that once required weeks of work by large teams.
There is also a deeper risk, often relegated to a footnote on earnings calls: the possibility that the very demand base may shrink. If artificial intelligence allows companies to operate with fewer employees, the logical consequence is fewer offices, fewer square meters, and fewer lease contracts. Even though offices currently account for about 10% of CBRE’s net revenue, the segment remains one of the sector’s largest fee generators.
Analysts at firms such as Raymond James and William Blair continue to reiterate positive recommendations, citing revenue diversification, the growth of data centers, and the expansion of facilities management services. Yet the stock reaction suggests the market is already pricing these drivers as insufficient to offset long-term risks.
The unease is not limited to CBRE. AI-driven disruption anxiety is also affecting JLL, as noted by The New York Times—but the company’s challenges go further.
Pressured by slowing transaction volumes, margin compression, and the advance of AI into core activities, the firm has turned to layoffs and reorganizations to preserve profitability, even at the cost of reducing its presence and ambition in key markets.
In Brazil, the move was explicit. The company streamlined operations, narrowed its scope, and replaced local leadership, with the departure of Fábio Maceira and the arrival of Washington Botelho.
In addition, it has been pulling back from areas such as capital markets, consulting, and hospitality to focus on recurring services like property management and leasing. In practice, this represents a partial retreat from a market once considered strategic, signaling that risk appetite has declined as the real estate cycle turned.
In the United Kingdom, the restructuring followed the same script, with layoffs in the management services division. The official narrative emphasizes efficiency, but the underlying issue is the difficulty of sustaining large-scale structures in an environment of lower deal flow and more cost-sensitive clients.
Germany completes the picture. Cuts in the valuation department underscore an uncomfortable reality for the sector: property valuations, once seen as a technical and resilient service, have become vulnerable both to reduced activity and to automation. Data- and AI-based tools are beginning to compete directly with traditional teams, putting pressure on a segment long considered essential.
By the time this report was published, CBRE and JLL had not commented on the matter.











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