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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”

3 results
  1. signal9 Sept
    Data centre developers are becoming energy developers.

    Site selection is now driven by power first and latency second, and hyperscalers are signing generation contracts directly.

  2. signal3 Sept
    Industrial data is finally being connected to models.

    Digital twins, sensor streams and maintenance records are becoming training and grounding data for factory AI.

  3. signal7 Sept
    Humanoid robots are in the pilot phase, not the product phase.

    Attention is running ahead of deployment data. Watch for published uptime and cost-per-task metrics before believing the timelines.