As AI data centers scale, investigating their impact becomes its own beat

As AI data centers scale, investigating their impact becomes its own beat

The internet as we know it has long relied on data centers, but the generative AI boom has brought about a new era of rapid, largely unchecked development. Tech giants like Microsoft, Google, Amazon, and Meta are expected to spend over $700 billion on capital expenses in 2026, an increase of 60% from 2025. Much of this money will be directed toward stockpiling specialized chips and constructing massive new AI-focused data center facilities across the U.S. and around the world. These new facilities often dwarf traditional data centers in size, with some sprawling over areas as large as university campuses. The rapid pace of development has given rise to a new term for the companies driving this growth: hyperscalers.

For journalists, this moment of ballooning investment and aggressive rural land acquisition by tech companies presents both an opportunity and a responsibility to investigate. Data centers have long been criticized for their environmental impact, as they burn fossil fuels, consume large amounts of electricity, and require up to five million gallons of water a day for cooling systems. Research has also shown that these facilities can harm the health of local residents through air and noise pollution, while offering minimal long-term job stimulus. Despite subsidies from national and local governments, many proposed data centers have faced criticism for concealing the projected impacts on local communities under the guise of "trade secrets."

"If you're a tech journalist, you can go in. If you're a climate journalist, you can also go in. If you cover business or energy or if you're a very local journalist—there's a story for you," said Laís Martins, an investigative journalist at Intercept Brasil who published a series of major stories on data centers in Brazil over the past year. Martins, who previously worked with Nieman Lab's Andrew Deck at the nonprofit publication Rest of World, emphasized the importance of covering this growing sector.

First-time data center reporters may find the topic intimidatingly technical, but delving into the subject can reveal significant stories about the intersection of technology, environment, and community. As hyperscalers continue to expand their operations, it becomes increasingly crucial for journalists to scrutinize the environmental and social consequences of these massive facilities.

In Brazil, Martins' work has shed light on the challenges faced by communities near data centers, highlighting issues such as water scarcity and the displacement of residents. Her reporting has also brought attention to the opaque practices of tech companies, which often downplay the environmental impact of their operations.

Similarly, in the U.S., the rapid expansion of AI data centers has raised concerns about the strain on local infrastructure and the potential for job displacement in rural areas. Critics argue that the benefits of these facilities often do not trickle down to local communities, while the environmental costs are borne by them.

As the demand for AI-powered services continues to grow, so too does the need for journalists to investigate the impact of data centers on the environment and society. By covering this beat, reporters can help hold tech companies accountable and ensure that the rapid development of these facilities does not come at the expense of local communities and the planet.

In conclusion, the scaling of AI data centers presents a unique opportunity for journalists to explore the complex interplay between technology, environment, and community. As hyperscalers invest billions in new facilities, it is essential for reporters to investigate the environmental and social consequences, ensuring that the benefits of this technological advancement are shared equitably. Through thorough reporting, journalists can help shed light on the hidden impacts of data centers and advocate for more sustainable and transparent practices in the tech industry.