Great Lakes groups brace for possible underwater datacenter push

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Great Lakes underwater datacenter concerns

Highlights

Trump administration is considering four underwater, sealed-pod datacenter proposals off Maine and Alaska, citing economic opportunity and domestic retention.
Great Lakes environmental groups warn heat and potential leaks from underwater datacenters could worsen Lake Erie algal blooms and contaminate drinking water for millions.
Microsoft’s northern Scotland underwater datacenter saw 87% lower server failure rates, but company now prioritizes land-based operations, while increasing local opposition stalls new datacenter permits in the Great Lakes region.

Policy interest meets local environmental concern

As reported by The Guardian, recent reports suggest the Trump administration is considering four underwater, sealed-pod datacenter proposals off the shores of Maine and Alaska, adding momentum to an idea that has already been tested in coastal waters abroad.

Supporters argue underwater facilities could ease two major pressures facing the sector, resistance from communities near land-based sites and high utility costs tied to cooling. Donald Trump said at a campaign rally in Ohio last month that datacenters represent a major economic opportunity and should stay in the U.S. rather than go to China.

In the Great Lakes, however, nonprofit and environmental advocates are moving early. John Lipaj of the Ohio-based Lake Erie Foundation says the group is concerned that heat from any future underwater facility could worsen harmful algal blooms in Lake Erie, while leaks involving fluids, batteries or electrical equipment could threaten a freshwater system used daily for drinking water by millions of people.

Those concerns come as Ohio has already faced datacenter-related policy debate on land. A previous state proposal that would have made it easier for datacenter companies to discharge wastewater into public waterways was denied by the state's EPA last July after public opposition, while New York remains the only one of the eight U.S. Great Lakes states with a temporary statewide moratorium on datacenter construction, due to end in mid-2027.

Great Lakes viability faces technical and political hurdles

The business case for underwater datacenters centers on cooling efficiency and proximity to large population hubs. A Microsoft project deployed off northern Scotland in 2018 found after two years that server failures were 87% lower than for comparable land-based facilities, though the company now says it has no plans to deploy an underwater datacenter anywhere and is focused on responsible land-based operations.

Some analysts still see potential appeal in lake-based systems. Nir Kshetri, a professor of emerging technologies at the University of North Carolina Greensboro, says cold water could reduce cooling expenses and help operators place capacity close to major demand centers without the same land-use conflicts that have become a political issue in many communities.

Environmental groups say the Great Lakes present distinct risks despite that logic. Helena Volzer of the Alliance for the Great Lakes warns that even small and rapid temperature increases can disrupt aquatic ecosystems by changing metabolism, reducing dissolved oxygen and altering fish habitats. Lake Erie, already the warmest Great Lake in summer and among the most polluted because of agricultural runoff, is seen as especially vulnerable.

Local politics are also turning more cautious. On 3 November, residents of Conneaut, Ohio, voted for a charter amendment banning large datacenter construction in the area, and Ohio's EPA says it has not received any permit applications for an underwater facility in its section of Lake Erie. Lipaj says the Lake Erie Foundation has contacted state lawmakers in New York, Ohio and Michigan to press for rules before developers submit any proposals.

Our earlier report on the U.S. AI data center boom described how a wave of planned projects is running into hard constraints, with delays and cancellations raising doubts about how quickly new computing capacity can be delivered. We also noted that higher financing costs, construction overruns, power limitations, and growing local pushback are pressuring developers to prove they can complete builds on time and within budget without eroding investor confidence.

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