Artificial intelligence at scale in the chemical industry: from legacy to leadership
Abstract
Artificial intelligence (AI) is rapidly transforming the chemical industry, offering solutions to longstanding challenges in optimization, process monitoring and control, and product development. This article provides new insights by explicitly connecting recent technical advances in AI with organizational strategies, offering an integrated perspective on how these elements collectively drive transformation in the chemical industry. While the article discusses the potential of large language models, it places greater emphasis on the critical role of data availability, policies, and broader AI adoption challenges. The article concludes by listing possible improvements achievable through AI and emphasizing the importance of leadership and collaborative initiatives between industry, academia, and government.
Fields of Study & Subjects
Process Optimization and Integration
Machine Learning in Materials Science
Digital Transformation in Industry
Publication details
- Journal / source
- Current Opinion in Chemical Engineering
- Publisher
- Elsevier BV
- Volume
- 51
- Pages
- 101229–101229
- Publication date
- 5 February 2026
- Language
- EN