Transforming organic chemistry research paradigms: moving from manual
  efforts to the intersection of automation and artificial intelligence
Chengchun Liu Yuntian Chen Fanyang Mo
Organic chemistry is undergoing a major paradigm shift, moving from a
labor-intensive approach to a new era dominated by automation and artificial
intelligence (AI). This transformative shift is being driven by technological
advances, the ever-increasing demand for greater research efficiency and
accuracy, and the burgeoning growth of interdisciplinary research. AI models,
supported by computational power and algorithms, are drastically reshaping
synthetic planning and introducing groundbreaking ways to tackle complex
molecular synthesis. In addition, autonomous robotic systems are rapidly
accelerating the pace of discovery by performing tedious tasks with
unprecedented speed and precision. This article examines the multiple
opportunities and challenges presented by this paradigm shift and explores its
far-reaching implications. It provides valuable insights into the future
trajectory of organic chemistry research, which is increasingly defined by the
synergistic interaction of automation and AI.