AI Data Center Push Collides With Local and Tribal Opposition

California Governor Gavin Newsom is poised to sign legislation this month that would fast-track data centers for artificial intelligence companies while sidelining the state's Native nations from any meaningful role in the process. The move comes even as Newsom considers a separate water policy bill that would grant tribes a formal seat at the table for the first time in decades.

The contrast has drawn sharp criticism from tribal leaders who see the data center measures as another example of state priorities favoring tech expansion over indigenous sovereignty and environmental protections. Senate Bills 886 and 887 would provide no requirement for consultation with California's 109 federally recognized tribes on projects that could consume vast amounts of water and energy near their lands. This stands in direct opposition to Assembly Bill 2218, which would compel state agencies to address historical water inequities and consult tribes on related decisions.

The Karuk Tribe, a co-sponsor of the water legislation, has urged Newsom to sign it precisely because it corrects long-standing exclusions. Yet the data center bills threaten to undermine that progress. A tracker from Honor the Earth has identified at least 106 proposed or operating data centers on or adjacent to Native territories nationwide, exposing dozens of tribes to the infrastructure demands of AI development. In California, the absence of mandated consultation sets a troubling precedent that other states may follow.

Major AI firms are accelerating the pressure. Anthropic and OpenAI have already secured large-scale data center deals in the hundreds of megawatts and are now pursuing smaller 20- to 30-megawatt facilities across the United States, Britain, and Nordic countries to speed up model deployment. OpenAI has described the strategy as building a diversified compute portfolio to meet surging demand, while both companies have emphasized the need for rapid access to capacity. Those smaller footprints still require reliable power and water resources that often intersect with tribal areas already strained by drought and historical dispossession.

Several tribes have refused to wait for state action. The Cherokee Nation, Sault Ste. Marie Tribe of Chippewa Indians, and Seminole Nation have each enacted bans on hyperscale data centers within their jurisdictions. Their decisions reflect growing concern over the cumulative effects of energy-intensive facilities on water tables, air quality, and sacred sites. Native voters in swing states such as Arizona, Wisconsin, Michigan, and Nevada are watching California's outcome closely, recognizing that federal and state policies on AI infrastructure will shape land-use decisions for years to come.

Newsom's office has not detailed how the data center bills will address tribal input or mitigate resource impacts. The governor has promoted California's role in the AI economy, yet the legislation bypasses the government-to-government relationship that tribes have long sought. Environmental reviews already fall short in many cases; without explicit consultation requirements, projects could advance with limited transparency or accountability.

The pattern echoes earlier state actions that prioritized development over indigenous rights. Data centers tied to AI training and inference carry heavy water demands for cooling, often in regions where tribes hold senior water rights that were never fully honored. By advancing the bills without stronger protections, Newsom signals that the urgency of AI deployment outweighs obligations to communities bearing the infrastructure's costs.

Tribal advocates argue that genuine consultation would allow tribes to assess cumulative impacts and propose alternatives, rather than reacting after permits are issued. The water bill offers a model for how that process could work; the data center measures reject it. As AI companies race to expand capacity, the decisions made in Sacramento will test whether California treats Native nations as partners or as obstacles to technological progress.