Topsoe sees AI potential to reduce electrochemistry’s reliance on critical minerals

• Topsoe's electrochemistry analysis identifies AI-driven materials discovery as a potential route to reducing critical mineral dependence and improving technology scalability.
• Critical mineral demand could rise as much as 60% by 2040, according to the IEA, increasing exposure to concentrated supplies.
• Electrochemical technologies have relied on the same materials for 20-30 years, limiting innovation despite improvements in cell design.
• AI could identify substitutes, reduce critical mineral content and improve material durability, but new candidates require validation using industrial expertise.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Topsoe A/S published the original content used to generate this news brief on November 12, 2026, and is solely responsible for the information contained therein.