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AI is reshaping offices

Rafael Nolazco • 6/3/2026
AI adoption does not automatically reduce office demand. Instead, it is redefining the value of the workplace, accelerating selective relocations, and leaving behind buildings that lack the flexibility to meet evolving occupier needs.

Technology has become a central topic in boardroom discussions across leading organizations.

Budgets are being reviewed, software investments are under evaluation, and companies are looking to optimize operations through artificial intelligence.

Yet when executives begin to assess how these new technologies fit within the realities of their organizations, workplace strategy inevitably becomes part of the conversation. One question, in particular, is reshaping the corporate real estate market: if technology allows businesses to operate differently, what should they do with the office space they lease?

What we are seeing in actual corporate real estate transactions is far removed from the predictions of widespread office obsolescence. At this stage of AI adoption, companies are using artificial intelligence primarily to automate tasks and improve operational efficiency. The most immediate impact is not a linear reduction in office space, but a fundamental reassessment of how workplaces are used. As organizations evolve, they are redefining the role of the physical office, shifting the focus away from the amount of space they occupy and toward how that space is utilized and how effectively it supports productivity.

This transformation is driving a highly selective reconfiguration of corporate real estate portfolios. The conversation has shifted from how much space companies occupy to the strategic value of the assets they choose to retain. The market reflects a wide range of approaches: some organizations are reducing their footprint, while many others are maintaining—or even expanding—their office space, investing instead in higher-quality buildings, better workplace design, or more strategic locations.

The broader shift is a clear migration toward more efficient and functional workplaces. Executive teams are increasingly seeking buildings that foster collaboration, better integrate technology, and provide a compelling reason for employees to come into the office. At the same time, traditional office towers with rigid floor plates are rapidly falling out of consideration.

This trend is already reflected in recent research on the impact of artificial intelligence on the corporate real estate market, which points to increasingly selective demand for buildings designed to support new ways of working and more advanced technological requirements.

In the industrial and logistics sector, however, the impact of technology is taking a very different direction. Automation is not reducing space requirements—it is increasing the need for more sophisticated facilities. When companies search for a distribution center today, technical specifications have become far more demanding. A strategic location is no longer enough; priority is now given to facilities designed to accommodate robotics and, above all, to provide the significantly greater electrical capacity that modern operations require.

Taken together, these shifts send a clear signal to developers and investors: the real estate market is becoming increasingly segmented. Capital is flowing toward projects with the infrastructure needed to support evolving corporate requirements. By contrast, assets that fall behind technologically and lack the flexibility to adapt face a growing risk of prolonged vacancy.

Ultimately, artificial intelligence is not emptying office buildings—it is forcing companies to rethink their purpose. As this market transition continues to unfold, the smartest organizations are prioritizing flexibility when negotiating leases and designing their workplaces.

Today, the best real estate decision a company can make is not to predict how it will operate five years from now, but to ensure it has the flexibility to adapt its workplace as the rules of work continue to evolve.

 

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