Paris Marx’s latest book, Hyperscale: The Ambition and Excess of Big Tech’s Data Empires, arrives at a critical juncture, as global opposition to the sprawling infrastructure of data centers intensifies. Marx, a vocal critic of Big Tech and host of the Tech Won’t Save Us podcast, has dedicated years to dissecting the implications of these digital behemoths. His timely release coincides with a surge in public and political scrutiny, with data centers emerging as a key issue in pivotal elections.
“I certainly didn’t predict that it was all going to kind of come to a head as my book was coming out,” Marx shared with a wry chuckle, acknowledging the serendipitous timing. The book delves into the historical struggles surrounding data center development, tracing a lineage of resistance from anti-war protests targeting American computing facilities during the Vietnam War to contemporary movements in Ireland and Chile. It also explores alternative visions, such as the community-led initiatives in New Zealand for more ethical data infrastructure.
This interview with Marx, condensed and edited for clarity, offers a deep dive into the forces driving data center expansion, the unintended consequences, and potential future scenarios, particularly in the wake of the generative AI boom.
The Genesis of a Data Empire: From Moratoriums to Midterm Battles
The impetus for Marx’s book coalesced around a series of escalating concerns regarding data center expansion. “In the Netherlands and Singapore, they had moratoriums going back to 2019,” Marx explained. “But in 2022, there was a growing recognition of the demands of data centers in Ireland, on the energy grid in particular. There were huge quantities of electricity that data centers were starting to consume over there.”
The sheer scale of energy consumption by these facilities began to strain national grids, prompting early interventions. In Ireland, the grid operator itself sounded an alarm, stating that the existing capacity could not accommodate further connections. This led to a significant moratorium in Dublin in 2021, a development that Marx highlights as an early warning sign.
Another pivotal event that captured Marx’s attention was the situation in The Dalles, Oregon, involving Google. “Google was really trying to hide its water use figures, to the degree that it got the city council to try to keep its water use figures secret,” he recounted. This opacity persisted for nearly a year before community efforts revealed that Google’s data center was consuming an astonishing 29% of the city’s water supply. This incident underscored the hidden environmental toll and the lengths to which tech giants might go to obscure their resource demands.
The landscape shifted dramatically with the release of ChatGPT in late 2022. The subsequent explosion in generative AI applications immediately signaled an unprecedented demand for computational power, and by extension, a massive increase in the need for data centers. “It became apparent that there’s going to need to be a lot more data centers for generative AI,” Marx stated. “These places were already feeling the effects of significant data center construction, and it felt like that was going to start coming to a lot more communities very soon.” This realization cemented the urgency for Marx to document the unfolding narrative.
Early Warning Signs: Ireland and the Shadow of AI
While many in the United States may perceive the data center surge as a recent phenomenon, Marx emphasizes that other nations and communities served as crucial bellwethers. Ireland, in particular, offers a stark case study of how unchecked data center growth can impact public infrastructure and environmental goals.
Following the Dublin moratorium, the tech industry’s response was swift and strategic. Unable to secure grid connections in the capital, companies began exploring alternative locations within Ireland and devising ways to bypass the traditional grid altogether. “They also looked at starting to tap into the gas network so they can use generators,” Marx noted. “Eventually, they start building dedicated gas power plants to power their data centers instead of connecting to the grid.”
This shift to private, fossil fuel-powered infrastructure raised significant concerns. The Irish energy grid is predominantly a public utility, with the state holding a monopoly on electricity line construction. However, data center companies actively lobbied for legislative changes that would permit private entities to build their own electricity cables. “That obviously concerns a lot of people and presents questions about equity in the system,” Marx observed.
The reliance on gas for power generation, a trend now mirroring in the U.S., has significant environmental ramifications. The Irish Environmental Protection Agency issued warnings that the construction of these private gas plants, intended to fuel data centers, would make achieving national climate targets considerably more challenging. “The agency was warning that climate targets are going to be a lot harder to achieve now,” Marx said. Witnessing a similar pattern emerge in the U.S., he added, “I wasn’t surprised. I’d already seen the story play out before. But the scale of it is staggering, and how quickly it’s escalated.”
The AI Bubble and the Ghost Infrastructure
The rapid build-out of data centers, often fueled by private gas power plants, raises critical questions about the long-term viability of such infrastructure, especially if the current generative AI boom proves to be a speculative bubble. Marx draws a parallel to the dot-com era, where an overestimation of demand led to excess fiber optic capacity.
“I think we’re in an AI bubble,” Marx declared. “But what does the collapse of that bubble look like?” The current expansion plans, he argues, are predicated on a sustained and potentially unsustainable demand for AI. “They’re planning to add all these data centers and all of these gas power plants in order to power the data centers. But there are issues with getting turbines, with getting chips, with getting different kinds of pieces of the puzzle for the data center itself.” The question remains whether this infrastructure will be fully realized before a reassessment of AI demand occurs.
During the dot-com bust, many data center companies failed, but survivors like Equinix were able to acquire distressed assets, positioning themselves for future growth. However, the current situation presents a unique challenge. “If data centers are being planned for AI use, and we’re operating under the assumption that the chips are going to have to be cycled out within a few years,” Marx explained, “even if the data center is there, what makes it most valuable is potentially not going to be useful by the time that demand returns.”
The implications extend beyond the data centers themselves. The gas power plants being constructed to support them are unlikely to be decommissioned if the anticipated demand for AI processing does not materialize. “Inevitably, even if the data centers don’t come, then those gas plants will exist,” Marx stated. “They will be looking for new customers to justify their existence. I’m sure that people are not building them with the intention to just shut them down.” This leaves communities with potentially stranded assets and a legacy of fossil fuel dependency.
Charting a New Course: Community-Led Alternatives and Regulatory Imperatives
In contrast to the extractive model of hyperscale data centers, Marx’s book concludes with an inspiring example from New Zealand. A community-led initiative focused on developing a more accurate speech-recognition model for the Māori language utilized local cloud providers, offering a glimpse into a more equitable and localized approach to harnessing AI’s power. This vision of "non-extractive" technology resonates with growing calls for a fundamental reevaluation of how digital infrastructure is developed and deployed.
Marx advocates for a robust regulatory framework to guide the future of data centers and AI development. “I would like to see governments go really hard on actually putting firmer regulations on the development of data centers,” he urged. Crucially, these regulations must be coupled with oversight of AI products themselves. “We had a lot of promises about what generative AI was going to deliver that haven’t been realized,” Marx observed. “There has also been a long list of harms that have arisen from these technologies that we were not told would come along with them.”
He criticizes the current governmental approach, suggesting a tendency to accept the optimistic narratives peddled by tech executives, rather than confronting the demonstrable realities of AI’s impact. “Our governments do not seem to be so willing to actually take that on. They’re buying the narrative that generative AI is still what Sam Altman sold it to be in early 2023 rather than what it has become today.”
The immense resources being channeled into generative AI infrastructure necessitate a critical examination of priorities. “We should be asking, how much computation do we really need? How many resources are actually justifiable to put into this project? What are we actually getting out of it, right?” Marx posed. He believes that a thorough assessment would reveal that the current trajectory is unsustainable. “If we actually did the assessment, I think that we would very clearly find that there’s no way to justify what we are doing right now—from a financial perspective, but also from a social and environmental one.”
The European Front: Climate Goals vs. Digital Ambition
The challenges highlighted by Marx are not confined to the United States. Across the Atlantic, Europe is grappling with similar tensions between its burgeoning demand for AI-driven data centers and its commitment to ambitious climate goals. My colleague Joel Khalil reports that the European Union’s thirst for AI infrastructure is increasingly colliding with national climate targets.
Khalil predicts that data centers could become a significant political flashpoint in Europe, mirroring the situation in the U.S., as countries head to the polls in the coming year. “The fascinating thing about the European data center build-out is the collision of competing interests: national-level policy butts up against local priorities, ambitions for economic growth stand in conflict with climate objectives, and planning bureaucracy foils attempts by AI companies to rapidly expand their fleets,” Khalil stated. He concludes that the path forward for Europe is fraught with complexity, suggesting that “It’s hard to see how Europe could possibly have it all.”
The narrative of Hyperscale serves as a crucial primer for understanding the complex interplay between technological ambition, environmental stewardship, and democratic accountability. As data centers continue to proliferate, Marx’s work underscores the urgent need for informed public discourse and decisive policy interventions to shape a more sustainable and equitable digital future.
