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AI is moving from a supporting role to an active research partner. Recent reports show AI systems now generate hypotheses, design and monitor experiments, and even propose novel laboratory strategies that human scientists had not considered. Collaborative "AI scientist" platforms have independently reproduced complex bacterial DNA‑exchange findings and offered alternative chemical‑bonding approaches for disease‑targeting proteins. Integrated setups like Stanford’s LabOS combine AI agents with visual feedback to break down problems, search literature, and adjust protocols on the fly, alerting researchers when experiments stray. This shift lets scientists focus on high‑value insight while AI handles repetitive design and analysis tasks, marking a profound change in how scientific research is conducted. [[1]]