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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 “robotics”

2 results
  1. signal12 Sept
    Physical AI is moving from laboratories into commercial environments.

    Pilot deployments in logistics and manufacturing are now judged on cost per task and uptime, not demo videos.

  2. 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.