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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”

7 results
  1. topic
    AI Data Centers

    The buildings, cooling, networking and grid connections that turn capital into compute.

  2. topic
    AI Infrastructure

    Chips, data centres, networking, power and the capital cycle behind compute.

  3. topic
    Multimodal AI

    Models that see, hear, speak and act across text, image, audio, video and sensor data.

  4. topic
    AI in Manufacturing

    Industrial AI, digital twins, robotics and software-defined factories.

  5. topic
    Energy for AI

    The electricity demand of AI, and the generation, storage and grid investment racing to meet it.

  6. topic
    Grid & Storage

    Transmission, interconnection, batteries and the modernisation of electricity networks.

  7. topic
    Physical AI

    AI systems that perceive, reason and act in the physical world: robots, autonomous machines and embodied models.