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    Home - AI - Stargate’s slow start reveals the real bottlenecks in scaling AI infrastructure
    AI

    Stargate’s slow start reveals the real bottlenecks in scaling AI infrastructure

    TechurzBy TechurzAugust 8, 2025Updated:May 10, 2026No Comments2 Mins Read
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    The CFO emphasized that SoftBank remains committed to its original target of $346 billion (JPY 500 billion) over 4 years for the Stargate project, noting that major sites have been selected in the US and preparations are taking place simultaneously across multiple fronts.

    Requests for comment to Stargate partners Nvidia, OpenAI, and Oracle remain unanswered.

    Infrastructure reality check for CIOs

    These challenges offer important lessons for enterprise IT leaders facing similar AI infrastructure decisions. Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research, said that Goto’s confirmation of delays “reflects a challenge CIOs see repeatedly” in partner onboarding delays, service activation slips, and revised delivery commitments from cloud and datacenter providers.

    Oishi Mazumder, senior analyst at Everest Group, noted that “SoftBank’s Stargate delays show that AI infrastructure is not constrained by compute or capital, but by land, energy, and stakeholder alignment.”

    The analyst emphasized that CIOs must treat AI infrastructure “as a cross-functional transformation, not an IT upgrade, demanding long-term, ecosystem-wide planning.”

    “Scaling AI infrastructure depends less on the technical readiness of servers or GPUs and more on the orchestration of distributed stakeholders — utilities, regulators, construction partners, hardware suppliers, and service providers — each with their own cadence and constraints,” Gogia said.

    bottlenecks infrastructure Real reveals Scaling slow Stargates start
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