Blab News
AI Data Centers Face Growing Opposition and Regulatory Scrutiny Across the U.S.
In the quiet, tidal‑driven town of Eastport, Maine, residents have filed a petition urging the city council to ban artificial‑intelligence data centers after DeepGreen Western Passage sought a preliminary permit to test an underwater facility off the city’s northern coast. The Maine Monitor reports that the petition demands a permanent ban and a temporary moratorium pending an environmental review. Eastport, Maine’s smallest municipality, sits on Moose Island and is surrounded by the notorious tidal whirlpool Old Sow.
Across the country, Utah’s Box Elder County has seen its proposed Stratos Project—a massive AI data center—spark local protests. The Salt Lake Tribune notes that investor Kevin O’Leary has since withdrawn earlier allegations that critics were "proxies for the Chinese government." Although county commissioners approved the project, the Utah House speaker discussed the dispute in a May interview, and O’Leary admitted he has no evidence for his prior claims.
In Birmingham, Alabama, officials are offering a $3.2 billion tax‑abatement package spread over 30 years to attract a new AI factory on Lakeshore Parkway, AL.com reports. Public records indicate that the incentives are balanced by an anticipated $2.5 billion in tax revenue for city, county, and state coffers.
In the financial arena, The Independent reports that OpenAI may defer its initial public offering until next year, citing worries that the company may fall short of CEO Sam Altman’s $1 trillion valuation target amid a recent decline in SpaceX stock.
AI governance is expanding. The Indiana Capital Chronicle reports that the Indiana Family and Social Services Administration has launched a pilot that employs Oracle’s AI software to detect Medicaid fraud. The Centers for Medicare & Medicaid Services funded the initiative, which scans claims for up‑coding and phantom services. Meanwhile, NC Newsline warns that North Carolina police’s use of AI could intensify surveillance, introduce bias, and complicate the challenge of evidence in court.
New Jersey’s legislature has redirected tax credits that were initially earmarked for AI data centers. The New Jersey Globe reports that Assemblymen Andrew Macurdy and Balvir Singh passed A5165, the "End Data Center Tax Credits Act," shifting the credits toward programs that reduce electricity costs.
Workplace AI usage is under reassessment. Gizmodo reports that several large firms are tightening token‑belt controls after finding that employees had spent tokens on tasks that did not require AI, citing a 404 Media study.
In licensing and safety, Google is pursuing broader publisher rights to test new AI features in Google News, MediaPost reports. VentureBeat notes that OpenAI has unveiled GPT‑5.6 Sol, Terra, and Luna models, which are presently limited to preview partners, following a June 2 executive order by President Donald J. Trump that directs federal agencies to benchmark new AI models.
MIT Technology Review highlights concerns from Google DeepMind about the dangers posed by millions of autonomous AI agents interacting online. The review quotes Rohin Shah, director of DeepMind’s AGI safety research, on emerging classes of risk.
The New York Times reports that Meta has declined to voluntarily share its AI models with the federal government’s AI safety group, the Center for AI Standards and Innovation. Other major developers—OpenAI, Anthropic, Google, xAI, and Microsoft—have already submitted models.
Academic voices also enter the debate. The Conversation argues that cheating among college students stems from broader pressures rather than AI. A University of Washington team has launched PaperTok, an AI tool that converts research papers into short videos using Google Gemini.
Across the nation, communities and regulators are wrestling with the environmental, economic, and legal ramifications of expanding AI infrastructure. While some states provide generous incentives, others are tightening regulations or reallocating credits. Corporate reactions vary from scaling back projects to limiting internal AI use. The federal government continues to benchmark new models and solicits voluntary cooperation from developers. In the coming months, additional legislative proposals, court filings, and corporate policy updates are expected as the debate over AI data centers and governance unfolds.
Across the country, Utah’s Box Elder County has seen its proposed Stratos Project—a massive AI data center—spark local protests. The Salt Lake Tribune notes that investor Kevin O’Leary has since withdrawn earlier allegations that critics were "proxies for the Chinese government." Although county commissioners approved the project, the Utah House speaker discussed the dispute in a May interview, and O’Leary admitted he has no evidence for his prior claims.
In Birmingham, Alabama, officials are offering a $3.2 billion tax‑abatement package spread over 30 years to attract a new AI factory on Lakeshore Parkway, AL.com reports. Public records indicate that the incentives are balanced by an anticipated $2.5 billion in tax revenue for city, county, and state coffers.
In the financial arena, The Independent reports that OpenAI may defer its initial public offering until next year, citing worries that the company may fall short of CEO Sam Altman’s $1 trillion valuation target amid a recent decline in SpaceX stock.
AI governance is expanding. The Indiana Capital Chronicle reports that the Indiana Family and Social Services Administration has launched a pilot that employs Oracle’s AI software to detect Medicaid fraud. The Centers for Medicare & Medicaid Services funded the initiative, which scans claims for up‑coding and phantom services. Meanwhile, NC Newsline warns that North Carolina police’s use of AI could intensify surveillance, introduce bias, and complicate the challenge of evidence in court.
New Jersey’s legislature has redirected tax credits that were initially earmarked for AI data centers. The New Jersey Globe reports that Assemblymen Andrew Macurdy and Balvir Singh passed A5165, the "End Data Center Tax Credits Act," shifting the credits toward programs that reduce electricity costs.
Workplace AI usage is under reassessment. Gizmodo reports that several large firms are tightening token‑belt controls after finding that employees had spent tokens on tasks that did not require AI, citing a 404 Media study.
In licensing and safety, Google is pursuing broader publisher rights to test new AI features in Google News, MediaPost reports. VentureBeat notes that OpenAI has unveiled GPT‑5.6 Sol, Terra, and Luna models, which are presently limited to preview partners, following a June 2 executive order by President Donald J. Trump that directs federal agencies to benchmark new AI models.
MIT Technology Review highlights concerns from Google DeepMind about the dangers posed by millions of autonomous AI agents interacting online. The review quotes Rohin Shah, director of DeepMind’s AGI safety research, on emerging classes of risk.
The New York Times reports that Meta has declined to voluntarily share its AI models with the federal government’s AI safety group, the Center for AI Standards and Innovation. Other major developers—OpenAI, Anthropic, Google, xAI, and Microsoft—have already submitted models.
Academic voices also enter the debate. The Conversation argues that cheating among college students stems from broader pressures rather than AI. A University of Washington team has launched PaperTok, an AI tool that converts research papers into short videos using Google Gemini.
Across the nation, communities and regulators are wrestling with the environmental, economic, and legal ramifications of expanding AI infrastructure. While some states provide generous incentives, others are tightening regulations or reallocating credits. Corporate reactions vary from scaling back projects to limiting internal AI use. The federal government continues to benchmark new models and solicits voluntary cooperation from developers. In the coming months, additional legislative proposals, court filings, and corporate policy updates are expected as the debate over AI data centers and governance unfolds.
