Artificial intelligence is fundamentally transforming chemical engineering by redefining how materials are discovered

processes are optimized

and innovations are deployed at scale. This review provides a unique perspective on artificial intelligence’s role as a catalyst for chemical engineering’s evolution

emphasizing its ability to synergize computational intelligence with experimental workflows. Key contributions include artificial intelligence-enabled breakthroughs in structure–property relationship modeling

retrosynthetic analysis

and computational chemistry for rapid material optimization

followed by artificial intelligence’s impact on industrial translation through smart process control

digital twins

and automated laboratories

which facilitates seamless scaling from laboratory innovation to industrial production. Specific applications in energy

catalysis

batteries

and water treatment demonstrate artificial intelligence’s potential to address critical global challenges. By critically evaluating limitations and offering a roadmap for future advancements

this review highlights artificial intelligence not just as a tool but as a transformative force driving a more adaptive

intelligent

and sustainable chemical engineering paradigm.