Monterey Park residents gathered at city hall on 21 January to speak out against the construction of a datacenter. Monterey Park residents gathered at city hall on 21 January to speak out against the construction of a datacenter. Sat 7 Feb 2026 11.00 ESTLast modified on Sat 7 Feb 2026 16.55 EST When a southern California city council proposed building a giant datacenter the size of four football fields last December, five residents vowed to stop it. Through a frenetic word-of-mouth campaign, the small group raised awareness about the proposed facility in Monterey Park, a small city east of Los Angeles known affectionately as the country's first suburban Chinatown. No Data Center Monterey Park organizers - working in tandem with the grassroots racial justice group San Gabriel Valley (SGV) Progressive Action - held a teach-in and rally that drew hundreds of participants, knocked on doors, and distributed flyers on busy streets.

The president wants big tech to pay more for electricity, but he's curbing renewable projects that could boost supply Donald Trump is worried about datacenters. Specifically, he is concerned about their effects on an already expensive electricity market in the United States. Will Americans' resentment of sharply rising energy costs scuttle his party's November election ambitions? The US president's anxiety is evident in two actions in recent weeks. On 13 January, Trump and Microsoft's president jointly announced that the tech giant would pay more for its datacenters, paying full property taxes and accepting neither tax reductions nor electricity rate discounts in towns where it operates datacenters.

A Microsoft data center in Aldie, Virginia, on 28 October 2025. A Microsoft data center in Aldie, Virginia, on 28 October 2025. Trump says Microsoft will pay more for its datacenters' electricity Microsoft's president said firm won't accept tax breaks in towns for its datacenters as backlash against facilities grow Tue 13 Jan 2026 17.09 ESTLast modified on Tue 13 Jan 2026 17.16 EST Donald Trump said he is partnering with tech companies to ensure the large energy-hungry datacenters vital for AI do not drive up electricity bills in the US. On Tuesday, the US president announced that Microsoft was "first up". "We are the'HOTTEST' Country in the World, and Number One in AI. Data Centers are key to that boom, and keeping Americans FREE and SECURE but, the big Technology Companies who build them must'pay their own way.'"

To counter fragmented, high-risk adoption of commercial AI tools, we built and ran an institutional AI platform in a six-month, 300-user pilot, showing that a university of applied sciences can offer advanced AI with fair access, transparent risks, controlled costs, and alignment with European law. Commercial AI subscriptions create unequal access and compliance risks through opaque processing and non-EU hosting, yet banning them is neither realistic nor useful. Institutions need a way to provide powerful AI in a sovereign, accountable form. Our solution is a governed gateway platform with three layers: a ChatGPT-style frontend linked to institutional identity that makes model choice explicit; a gateway core enforcing policy, controlling access and budgets, and routing traffic to EU infrastructure by default; and a provider layer wrapping commercial and open-source models in institutional model cards that consolidate vendor documentation into one governance interface. The pilot ran reliably with no privacy incidents and strong adoption, enabling EU-default routing, managed spending, and transparent model choices. Only the gateway pattern combines model diversity and rapid innovation with institutional control. The central insight: AI is not a support function but strategy, demanding dedicated leadership. Sustainable operation requires governance beyond traditional boundaries. We recommend establishing a formal AI Officer role combining technical literacy, governance authority, and educational responsibility. Without it, AI decisions stay ad-hoc and institutional exposure grows. With it, higher-education institutions can realistically operate their own multi-provider AI platform, provided they govern AI as seriously as they teach it.

An image made with a drone shows air handling units on the roof of a CloudHQ data center in Ashburn, Virginia. An image made with a drone shows air handling units on the roof of a CloudHQ data center in Ashburn, Virginia. Mon 8 Dec 2025 07.00 ESTLast modified on Mon 8 Dec 2025 08.41 EST A coalition of more than 230 environmental groups has demanded a national moratorium on new datacenters in the US, the latest salvo in a growing backlash to a booming artificial intelligence industry that has been blamed for escalating electricity bills and worsening the climate crisis. The green groups, including Greenpeace, Friends of the Earth, Food & Water Watch and dozens of local organizations, have urged members of Congress to halt the proliferation of energy-hungry datacenters, accusing them of causing planet-heating emissions, sucking up vast amounts of water and for exacerbating electricity bill increases that have hit Americans this year. The push comes amid a growing revolt against moves by companies such as Meta, Google and Open AI to plow hundreds of billions of dollars into new datacenters, primarily to meet the huge computing demands of AI.

--As the Middle East emerges as a strategic hub for artificial intelligence (AI) infrastructure, the feasibility of deploying sustainable datacenters in desert environments has become a topic of growing relevance. This paper presents an empirical study analyzing the energy consumption and carbon footprint of large language model (LLM) inference across four countries: the United Arab Emirates, Iceland, Germany, and the United States of America using DeepSeek Coder 1.3B and the HumanEval dataset on the task of code generation. We use the CodeCarbon library to track energy and carbon emissions and compare geographical trade-offs for climate-aware AI deployment. Our findings highlight both the challenges and potential of datacenters in desert regions and provide a balanced outlook on their role in global AI expansion. With the explosion of large-scale artificial intelligence workloads, the environmental footprint of datacenters has come under scrutiny. The AI compute coming online appears to be increasing by a factor of 10 every six months.

We make use commute time'JWMNP' as the target The California datacenter has access to all of the features. The Texas datacenter has access to all but'AGEP', 'SCHL '. For each method that we test, we run 20 trials to form 95% confidence intervals. Optimized-Naive-Collab, described in Section 6. As the Schur complement is also p.s.d.

Each agent observes a different subset of the features--e.g., containing data collected from sensors of varying resolution.

Artificial intelligence company Anthropic announced a $50bn investment in computing infrastructure on Wednesday that will include new datacenters in Texas and New York . "We're getting closer to AI that can accelerate scientific discovery and help solve complex problems in ways that weren't possible before," Anthropic's CEO, Dario Amodei, said in a press release. Building the massive information warehouses takes an average of two years in the US and requires copious amounts of energy to fuel the facilities. The company, maker of the AI chatbot Claude, popular with businesses adopting AI, said in a statement that the "scale of this investment is necessary to meet the growing demand for Claude from hundreds of thousands of businesses while keeping our research at the frontier". Anthropic said its projects will create about 800 permanent jobs and 2,400 construction jobs.

A startup hopes to challenge Nvidia, AMD, and Intel with a chip that wrangles probabilities rather than ones and zeros. Extropic claims its exotic new chip, called XTR-0, could be thousands of times more energy efficient than existing chips when scaled up. Extropic, a startup developing an exotic new kind of computer chip that handles probabilistic bits, has produced its first working hardware along with proof that more advanced systems will tackle useful tasks in artificial intelligence and scientific research. The startup's chips work in a fundamentally different way to chips from Nvidia, AMD, and others, and promise to be thousands of times more energy efficient when scaled up. With AI companies pouring billions of dollars into building datacenters, a completely new approach could offer a far less costly alternative to vast arrays of conventional chips.