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Signals
◆AI agents are moving from chat interfaces into enterprise workflows.◆Open-source AI models are becoming strategic infrastructure.◆Power availability may become a constraint on AI infrastructure.◆Physical AI is moving from laboratories into commercial environments.◆Every deployed agent is a new identity with credentials.◆Inference, not training, is becoming the dominant compute story.◆Software engineering is the proving ground for every other kind of agentic work.◆Seat-based software pricing is under structural pressure.◆AI agents are moving from chat interfaces into enterprise workflows.◆Open-source AI models are becoming strategic infrastructure.◆Power availability may become a constraint on AI infrastructure.◆Physical AI is moving from laboratories into commercial environments.◆Every deployed agent is a new identity with credentials.◆Inference, not training, is becoming the dominant compute story.◆Software engineering is the proving ground for every other kind of agentic work.◆Seat-based software pricing is under structural pressure.
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Results for “data centers”

4 results
  1. article12 Sept
    Power Is the New Bottleneck for AI

    The constraint on AI infrastructure has moved from chips to electricity. Where the grid can deliver decides where intelligence gets built.

  2. article5 Sept
    The Inference Economy

    Training built the AI industry's first chapter. Serving models continuously to agents and users is writing the second.

  3. article11 Sept
    Physical AI Leaves the Lab

    Foundation models have given robots general perception. The next test is not a demo video but a cost per task.

  4. article4 Sept
    Quantum Computing: A Reality Check

    Error-correction milestones keep arriving. Commercial advantage remains a research question. The near-term story is cryptography.