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  1. Home
  2. Beyond Blockchain
  3. The AI Boom Has a Supply Problem — And It Goes Deeper Than Most People Think

The AI Boom Has a Supply Problem — And It Goes Deeper Than Most People Think

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  • cryptohogC Offline
    cryptohogC Offline
    cryptohog
    wrote last edited by
    #1

    9b02d001-658a-4ba6-bc87-f71ebe88808b-image.png

    The artificial intelligence industry is running headfirst into physical limits that no amount of investment can quickly resolve. ASML CEO Christophe Fouquet — whose company holds a monopoly on the extreme ultraviolet lithography machines required to manufacture modern chips — stated plainly that despite a massive acceleration in chip production, the market will remain supply-constrained for the next two to five years. That means the world's largest hyperscalers — Google, Microsoft, Amazon, and Meta — will not receive all the chips they are paying for. Google Cloud COO Francis deSouza put the scale of unmet demand into perspective: Google Cloud's revenue crossed $20 billion last quarter with 63% growth, while its backlog of committed but undelivered revenue nearly doubled in a single quarter, jumping from $250 billion to $460 billion.But chips are only the first bottleneck. Energy is the one looming right behind it. deSouza revealed that Google is seriously exploring the idea of data centers in space as a response to terrestrial energy constraints, noting that orbit provides access to more abundant energy — though the absence of convection in a vacuum makes heat dissipation a major engineering challenge.

    Google's internal answer to the energy problem is deep vertical integration: by co-engineering its TPU chips alongside its Gemini models, the company claims to run AI workloads far more efficiently than any configuration using off-the-shelf components. In a world where energy availability is becoming as critical as compute availability, that kind of end-to-end control over the stack could prove to be one of the most durable competitive advantages in the industry.

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    • madtraderM Offline
      madtraderM Offline
      madtrader
      wrote last edited by
      #2

      Google is considering data centers in space because there's not enough electricity on Earth, the scaling requirements are something

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      • madtraderM Offline
        madtraderM Offline
        madtrader
        wrote last edited by
        #3

        Google Cloud backlog nearly doubling from $250B to $460B in a single quarter while revenue grows 63% confirms demand is accelerating faster than any supply expansion can match.

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        • chainsniffC Offline
          chainsniffC Offline
          chainsniff
          wrote last edited by
          #4

          AI industry hit the physical limits of the planet and looked up at orbit, the scaling instinct does not turn off

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