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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 “Energy for AI”

3 results
  1. research6 Sept
    Powering Intelligence: Energy as the Binding Constraint on AI

    The AI build-out is colliding with grid reality. This Deep Dive maps the collision: who supplies the power, who pays, and what changes.

  2. research6 Sept
    Powering Intelligence: energy as the binding constraint on AI

    Deep Dive on the collision between AI capital expenditure and grid reality.

  3. research3 Sept
    Physical AI: State of Play

    From foundation models to factory floors, a map of the robotics and embodied AI landscape and the metrics that will decide it.