Agentic AI sets research agendas, identifies connections in complex data, and manages workflows from hypothesis to results. These systems expand research team capabilities and create new sources of innovation. Image by freepik

Agentic artificial intelligence is redefining the scientific landscape, evolving from an advanced too l to something that resembles a living system, capable of reasoning, planning and learning across disciplines. These dynamic AIs not only accelerate research and innovation but also increasingly act with autonomy, raising fundamental questions about oversight, reproducibility and the very nature of life and intelligence. Their emergence compels us to reconsider what it means to be “alive” as we shape the evolutionary pressures that guide both their development

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