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Infrastructure

AI news about data centres, compute and cloud capacity.

9 stories in the last 24 hours

Today

4 stories
  1. Must read Wired

    The Results Are In: Voters Hate Data Centers

    Widespread voter backlash and newly elected state leaders favoring moratoriums in key hubs like Texas and Georgia threaten to severely constrain the physical infrastructure buildout required to scale AI.

    Voters across the United States broadly backed candidates and ballot measures opposing data center construction in the 2026 midterm elections, leading to wins for gubernatorial candidates in major hubs like Texas and Georgia who campaigned on moratoriums. Nearly two-thirds of voters cited data centers and their connection to AI as a factor in their vote, rejecting tens of local development measures despite significant campaign spending by the tech industry.

  2. Worth knowing Interconnects

    How big is the open model economy today?

    Measuring token volumes across inference providers offers empirical insight into how rapidly open-weights models are being adopted in production relative to proprietary frontier labs.

    Interconnects examines the scale of the open model inference market by tracking public token volume disclosures from startups like Baseten, Fireworks, and Together AI alongside OpenRouter API metrics. The available data indicates near-exponential growth in usage, including Fireworks serving over 40 trillion tokens daily for customized models alone, which the author compares against Google's reported platform token volumes.

  3. Worth knowing 404 Media

    ‘There Is One Fight’: American Voters Reject Tech Oligarchy

    The widespread passage of ballot measures restricting AI data centers and the defeat of tech-backed political candidates signal growing public backlash against AI infrastructure expansion and industry lobbying.

    An editorial from 404 Media reports that American voters in the November 2026 midterm elections broadly rejected candidates backed by the Trump administration and Silicon Valley executives, despite hundreds of millions of dollars in political spending from AI and crypto donors. Voters also approved 39 out of 40 local ballot measures to restrict AI data center projects and elected officials campaigning on data center moratoriums in states like Ohio and New York.

  4. Worth knowing The Verge

    Google hasn’t figured out how to make AI pay like its search engine

    It highlights the ongoing financial challenge tech giants face in monetizing AI features enough to justify massive capital expenditures on AI infrastructure.

    Alphabet's third-quarter earnings showed Google Search revenue growth slowing to 12 percent and paid click growth dropping to 8 percent, even as search queries rose at their fastest rate in five years. Following the report, Alphabet shares fell about 14 percent amid investor concern over the company's plans to spend roughly $200 billion on AI-focused infrastructure this year.

Yesterday

5 stories
  1. Must read SemiAnalysis

    Elon Is Doing It Again: SpaceX Will Be The World’s Biggest AI Cloud

    This unprecedented pace of AI infrastructure and behind-the-meter power deployment positions Elon Musk's companies to potentially become the largest AI compute provider in the world within a few years.

    SemiAnalysis reports that SpaceX is rapidly constructing massive AI datacenter capacity across multiple locations, including expansions at Colossus 2 and new sites at Starbase and TeraFab in Texas, targeting roughly 13GW by 2027. To achieve record-breaking build times and bypass grid constraints, the company is utilizing modular equipment from Tesla, mobile gas turbines, and a nearly 6GWh battery energy storage system.

  2. Must read TechCrunch

    AI inference startup Fal doubles its valuation to $16B as demand surges

    This massive funding round highlights the booming market and capital requirements for AI inference infrastructure as businesses scale their deployment of open-source generative media models.

    AI inference startup Fal raised $1.3 billion in a Series F round led by Bessemer Venture Partners, doubling its valuation to $16 billion since April. The company, which hosts video, image, and audio models, surpassed $800 million in annualized revenue earlier this year amid surging demand for running open-source models.

  3. Worth knowing TechCrunch

    Data centers are turning to old jet engines as the wait for power grows

    This highlights the severe energy bottleneck slowing the AI infrastructure buildout and the unconventional, polluting workarounds companies are adopting to stay competitive.

    Facing multi-year delays for grid connections and new turbines, AI data center operators are turning to retired aircraft engines rebuilt to burn natural gas to generate electricity quickly. Companies including xAI, OpenAI, and Crusoe are deploying these converted jet engines to bring facilities online within two years, despite their lower efficiency and higher emissions.

  4. Worth knowing Hacker News

    US tech giants' hidden AI debt swells 90% to $3.2T in 6 months

    The rapid growth of off-balance-sheet commitments highlights the massive financial scale and potential balance-sheet risks of the ongoing AI infrastructure buildout.

    U.S. tech giants including Google and Meta have seen their off-balance-sheet AI-related obligations grow by 90% in six months to approximately $3.2 trillion. These commitments for AI infrastructure now reach 80% of the companies' assets, raising concerns among investors over the scale of ongoing spending.

  5. Worth knowing Ars Technica

    Ukraine’s drone strikes spur hasty Russian plans for underground data centers

    Physical attacks on data centers and AI supercomputers during wartime demonstrate that compute infrastructure has become a direct military target, forcing nations to rethink the physical security of their AI capabilities.

    Ukrainian drone strikes have damaged Russian data centers housing AI supercomputers and disrupted cloud services operated by companies like Yandex and Sberbank. In response, the Kremlin is mandating emergency compute reserves for state needs, while Russian firms explore hiding data centers underground in mines.

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