Artificial intelligence at scale in the chemical industry: from legacy to leadership

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.

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Publication Details

Journal
Current Opinion in Chemical Engineering
Published
2026-02-05
DOI
https://doi.org/10.1016/j.coche.2026.101229
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence at scale in the chemical industry: from legacy to leadership

Matthew Malloure, Luis A. Briceno-Mena, Dan Christiansen, Sun Hye Kim et al.
Current Opinion in Chemical Engineering
Process Optimization and Integration
article

Artificial intelligence at scale in the chemical industry: from legacy to leadership

Matthew Malloure, Luis A. Briceno-Mena, Dan Christiansen, Sun Hye Kim, Leo Chiang
article en

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.

Current Opinion in Chemical EngineeringVol. 51
Dow Chemical (India) (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Process Optimization and Integration
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