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Big Tech is looking to build more AI data centers on or near tribal land, bringing promised revenue and jobs, plus worries about water, power, and control.
In short: More proposed AI data centers are being sited on or near Native land, and tribes are weighing economic promises against risks to water, power, and sovereignty.
Big Tech companies need many large data centers to run generative AI, which is the kind of AI that makes text, images, or video. These facilities are like giant warehouses full of computers, and they use huge amounts of electricity and often a lot of water to keep equipment cool.
Developers are increasingly looking at tribal land because it can offer large, rural sites with room to expand and access to power lines. Another factor is speed. Tribal nations are sovereign governments, meaning they can set their own rules in many areas, and that can make permits faster than the multi year process often seen elsewhere.
Tracking groups say the number of proposed projects is high. Honor the Earth, an Indigenous led environmental justice organization, says it is tracking more than 100 proposed AI related data center projects on or near tribal and rural lands. Mother Jones has reported at least 106 proposed projects near or on Native lands, although these are not official government counts.
Supporters say data centers can bring lease payments, training programs, and new infrastructure, especially if tribes negotiate to be true partners and not just landlords. Critics argue permanent jobs are often limited after construction ends, and that deals can be hard for the public to see or challenge, especially when tax breaks are involved.
Some tribes are pushing back. The Seminole Nation of Oklahoma voted 24 to 0 to ban hyperscale data centers and generative AI infrastructure, citing water and energy use and ecological impacts. Next to watch is whether more tribes adopt bans, or instead create stricter rules and more transparent contracts that protect water, electricity costs, and long term control over land and data.
Source: NYTimes