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China's Renewable Energy Revolution Is a Huge Mess That Might Save the World

WIRED

China's Renewable Energy Revolution Is a Huge Mess That Might Save the World A global onslaught of cheap Chinese green power is upending everything in its path. No one is ready for its repercussions. There's a particular kind of sci-fi nerd who equates fusion tech with utopia. If we could only harness the engine of the stars, it would uncork near limitless energy and neatly sweep away a whole mess of humanity's problems. But how would that work exactly? What would the transition look like?


Meta announces a slew of nuclear energy agreements

Engadget

The deals will bring 6.6 gigawatts of power online in the coming decade to power AI data centers. Meta has three new agreements to purchase nuclear power for its AI infrastructure as well as the, a 1-gigawatt data center being built in Ohio. The social media giant is partnering with power companies Vistra, TerraPower and Oklo to deliver an expected 6.6 gigawatts of generation to its projects by 2035. The company's agreement with TerraPower will fund the development of two new reactors capable of delivering up to 690 megawatts of power as early as 2032. The deal also gives Meta rights to energy from six other reactors that could deliver an additional 2.1 gigawatts by 2035.


Four bright spots in climate news in 2025

MIT Technology Review

Things aren't great, but there are a few positive signs, we promise. Climate news hasn't been great in 2025. Global greenhouse-gas emissions hit record highs (again). This year is set to be either the second or third warmest on record. Climate-fueled disasters like wildfires in California and flooding in Indonesia and Pakistan devastated communities and caused billions in damage. In addition to these worrying indicators of our continued contributions to climate change and their obvious effects, the world's largest economy has made a sharp U-turn on climate policy this year.


Amazon to invest 50bn in AI for US government customers

Al Jazeera

Amazon is set to invest up to $50bn to expand artificial intelligence (AI) and supercomputing capacity for United States government customers, in one of the largest cloud infrastructure commitments targeted at the public sector. The e-commerce giant announced the investment on Monday. One gigawatt of computing power is roughly enough to power about 750,000 US households on average. "This investment removes the technology barriers that have held the government back", Amazon Web Services (AWS) CEO Matt Garman said. AWS is already a major cloud provider to the US government, serving more than 11,000 government agencies.


Meta, Google, and Microsoft Triple Down on AI Spending

WIRED

Three of the biggest US tech companies reported record profits and record infrastructure spending on Wednesday, fueling speculation about a possible AI market bubble. Three of the biggest US tech giants--Microsoft, Meta, and Google--sent investors a blunt message when they reported quarterly earnings on Wednesday: Their lavish spending on AI infrastructure is only just getting started. Meta said that its capital expenditure would total between $70 billion and $72 billion this year, up from its previous lower forecast of $66 billion to $72 billion. Next year, Meta's chief financial officer Susan Li said that she expected the company's spending would be "notably larger." The social media giant's soaring investment matches its soaring revenue: Meta reported raking in $51.24 billion last quarter, up 26 percent year-over-year.


OpenAI wants to buy 10% of AMD. That should make PC gamers nervous

PCWorld

When you purchase through links in our articles, we may earn a small commission. If AMD turns to the cloud, does that mean less love for the PC market? In the ongoing war of AI investment, OpenAI has secured itself a new ally: AMD. The chip maker will trade millions of its upcoming Instinct MI450 GPUs for an investment by the AI company, worth up to 10 percent of its stock. The numbers, though, remain vague.


OpenAI Teams Up With Oracle and SoftBank to Build 5 New Stargate Data Centers

WIRED

The new sites will boost Stargate's planned capacity to nearly 7 gigawatts--about equal to the output of seven large nuclear reactors. An aerial view shows construction underway on a Project Stargate AI infrastructure site in Abilene, Texas on April 23, 2025. OpenAI is planning to build five new data centers in the United States as part of the Stargate initiative, the company announced on Tuesday. The sites, which are being developed in partnership with Oracle and SoftBank, bring Stargate's current planned capacity to nearly 7 gigawatts--roughly the same amount of power as seven large-scale nuclear reactors . "AI is different from the internet in a lot of ways, but one of them is just how much infrastructure it takes," OpenAI CEO Sam Altman said during a press briefing in Abilene, Texas on Tuesday.


Nvidia and OpenAI make 100 billion deal to build data centers

The Japan Times

Nvidia's $100 billion investment is meant to help OpenAI build data centers with a capacity of at least 10 gigawatts of power -- equipped with Nvidia's advanced chips to train and deploy AI models. Nvidia will invest as much as $100 billion in OpenAI to support new data centers and other artificial intelligence infrastructure, a blockbuster deal that underscores booming demand for AI tools like ChatGPT and the computing power needed to make them run. The companies announced the agreement Monday, saying they'd signed a letter of intent for a strategic deal. The investment is meant to help OpenAI build data centers with a capacity of at least 10 gigawatts of power -- equipped with Nvidia's advanced chips to train and deploy AI models. The money will be provided in stages, with the first $10 billion coming when the deal is signed, according to people familiar with the matter. Nvidia is making the investment in cash and will receive OpenAI equity as part of the deal, said the people, who asked not to be identified because the talks were private.


Blackout crisis looms as Americans face full month of outages plunging hospitals into deadly shutdowns

Daily Mail - Science & tech

Millions of Americans may soon face nearly a full month of power blackouts each year, disrupting daily life, businesses, and critical services across the country. White House officials warned on Monday that the retiring power plants and soaring electricity demand could push the US grid to its limits, triggering over 800 hours of power outages annually. From hospitals to data centers, the ripple effects of extended blackouts could impact nearly every part of daily life for US residents. Department of Energy (DOE) Secretary Chris Wright said: 'In the coming years, America's reindustrialization and the AI race will require a significantly larger supply of around-the-clock, reliable, and uninterrupted power. 'President Trump's administration is committed to advancing a strategy of energy addition, and supporting all forms of energy that are affordable, reliable, and secure.'


AI could keep us dependent on natural gas for decades to come

MIT Technology Review

The AI data center also promises to transform the state's energy future. Stretching in length for more than a mile, it will be Meta's largest in the world, and it will have an enormous appetite for electricity, requiring two gigawatts for computation alone (the electricity for cooling and other building needs will add to that). When it's up and running, it will be the equivalent of suddenly adding a decent-size city to the region's grid--one that never sleeps and needs a steady, uninterrupted flow of electricity. To power the data center, Entergy aims to spend 3.2 billion to build three large natural-gas power plants with a total capacity of 2.3 gigawatts and upgrade the grid to accommodate the huge jump in anticipated demand. In its filing to the state's power regulatory agency, Entergy acknowledged that natural-gas plants "emit significant amounts of CO2" but said the energy source was the only affordable choice given the need to quickly meet the 24-7 electricity demand from the huge data center.