Top Content: Innovation, Cybersecurity and Workforce Challenges

Chemical companies accelerate innovation with AI while confronting cybersecurity threats, R&D funding cuts and workforce retirement challenges.
Sept. 30, 2025

In September 2025, readers learned how digital tools and machine learning cut product development cycles from years to months at Syensqo, Dow and 3M. Coverage also pointed out that the chemical industry faces mounting challenges, including cybersecurity threats to plant safety systems, federal R&D budget cuts threatening innovation capabilities and a looming workforce retirement crisis. While AI offers potential solutions for hiring and operations, engineers emphasize that successful troubleshooting still requires clear objectives and systematic problem-solving approaches to maintain equipment reliability and process safety.

About the Author

Traci Purdum

Editor-in-Chief

Traci Purdum, an award-winning business journalist with extensive experience covering manufacturing and management issues, is a graduate of the Kent State University School of Journalism and Mass Communication, Kent, Ohio, and an alumnus of the Wharton Seminar for Business Journalists, Wharton School of Business, University of Pennsylvania, Philadelphia.

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