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US Hyperscalers to Spend Up to $725 Billion on AI Infrastructure in 2026
The top five US hyperscalers are projecting a combined capital expenditure of $660 billion to $725 billion for 2026, nearly double their 2025 outlays, as the AI build-out shifts from software to physical infrastructure. Microsoft is guiding for roughly $175 billion in adjusted capital expenditure for both FY2026 and FY2027, with two-thirds of quarterly spend going to short-lived assets like CPUs and GPUs and the rest to long-lived data center infrastructure, and it added 1 gigawatt of capacity in Q3 FY2026, doubling its global footprint in two years. Amazon AWS has raised its 2026 capex guidance to approximately $220 billion, with CEO Andy Jassy saying AI capacity is expected to remain constrained through 2027 and contracted demand extending into 2028. Meta saw profit drop 14% in Q2 2026 despite a 28% revenue increase as its build-out, including a 1 gigawatt data center in Ohio and a Louisiana facility that could scale to 5 gigawatts, compressed margins, while Alphabet raised its 2026 capex guidance to as much as $205 billion and its Google Cloud backlog more than doubled year-over-year to $240 billion. The Stargate joint venture involving Oracle, OpenAI and others targets up to $500 billion in infrastructure investment by 2029, and Oracle's FY2026 capex reached $55.7 billion, more than doubling from the previous year.
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Nvidia, Google and Emerald AI Launch AI Energy Management Alliance
Nvidia, Google and Emerald AI have launched the AI Energy Management Alliance, or AEMA, a coalition that dynamically manages the electricity use of data centers in response to grid conditions. Emerald AI founder and CEO Varun Sivaram said the alliance's founding members are joined by a cohort of 20 launch partners, including the AI lab Anthropic, the semiconductor firm Analog Devices, and the energy companies AES, NRG, Constellation, RWE and National Grid. Sivaram said Emerald AI, which was founded under two years ago, is building with Nvidia and Digital Realty the world's first from-the-ground-up power-flexible AI data center, a 100 megawatt facility in Manassas, Virginia, that comes online later this year. He said Google, one of the founding members, has already done a gigawatt of demand response for its data centers, while Emerald and Nvidia have completed six demonstrations around the world, in London, Phoenix and Virginia. Sivaram said the alliance is talking to the FERC commissioners, state regulators and the administration about a grand bargain in which flexible AI data centers act as good citizens to grids and communities in return for faster and larger connections to the power grid.
impact 4
CleanSpark Signs $6.6 Billion AI Data Center Lease in Georgia
CleanSpark has signed a 20-year, $6.6 billion triple-net lease for its Sandersville, Georgia, site, a deal the company expects to generate $330 million in annual revenue. Chairman and CEO Matt Schultz said the site includes a fully energized 250-megawatt substation, that CleanSpark secured an additional 122 acres with community support, and that the tenant received short-term exclusivity for up to 885 additional megawatts in Texas, with the first data hall targeted for delivery in December 2027. The announcement came during an H.C. Wainwright panel where mining and AI infrastructure executives described a broad pivot from bitcoin operations toward AI colocation, cloud services and GPU-as-a-service. Core Scientific's Russell Cann said direct-liquid-cooled construction costs have climbed from roughly $4.5 million per megawatt for early projects to about $10 million to $10.5 million per megawatt for facilities turned on this year and $12 million to $13 million per megawatt for projects expected to start operating in 2027. Cann also said Core Scientific recently announced a roughly 500-megawatt agreement with AMD, with AMD holding rights to the next 2,000 megawatts across sites in Hunt County and Pecos, Texas, and Muskogee, Oklahoma, under a 15-year triple-net lease at $125 per megawatt or a modified gross structure at $145 per megawatt. Executives pushed back on AI bubble concerns, with Cann noting roughly 5 gigawatts of rack space is delivered annually against approximately 15 gigawatts of annual chip demand, while cautioning that many power requests may be duplicative or unsupported by actual transmission, substations or fuel supply.