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Here, we synthesize recent advances that move AI from isolated demonstrations to a practical toolkit spanning the full experimental cycle: molecular design and prioritization, computer\u2010assisted synthesis planning and route selection, catalyst and condition optimization, and AI\u2010enabled product identification and verification using chromatographic and spectroscopic data. We analyze these developments using a three\u2010level hierarchy\u2014AI assistant, AI analyst, and emerging AI researcher\u2014and map them onto what bench chemists can deploy today, from commercial and open retrosynthesis platforms to multimodal structure elucidation workflows. 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