From trees to servers How did Google's race for artificial intelligence turn into an environmental crisis?

 As artificial intelligence becomes more capable of performing tasks and running services, it needs a larger infrastructure behind the scenes. This has become a reality, but many users are unaware of it. The models that appear to the user as mere programs running on the screen actually rely on huge data centers that include thousands of servers and processors, and require increasing amounts of electricity, water, and vast areas of land.

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As Google accelerates its development of artificial intelligence, this expansion has begun to raise a question that goes beyond the boundaries of technology, reaching the environmental cost of the race towards more powerful computing.

As major technology companies invest billions of dollars in data centers to meet the growing demand for generative artificial intelligence and cloud services, Google is one of the leading companies expanding this infrastructure, in parallel with the development of Gemini models and custom-designed "TPU" chips to run AI workloads.

The term cloud computing may seem to refer to an intangible digital world, but operating it requires huge facilities on the ground. A data center requires large buildings, power stations, cooling systems, fiber optic networks, roads and supporting facilities, making the choice of its location a decision with implications that extend beyond the boundaries of the building itself.

In Finland, Google announced plans to invest 13 billion euros (about $14 billion) in digital infrastructure during 2026 and 2027, in an expansion that includes data centers and energy projects. The company says these investments will support the growing demand for artificial intelligence and cloud computing services.

In Finland’s Vala region, Google owns hundreds of hectares of land that could be used for future data center expansions, while the company has announced initiatives to restore forests and improve biodiversity in the area.

Herein lies the paradox: the company that uses artificial intelligence to monitor the environment and restore natural systems simultaneously needs land to build the facilities that operate this technology.