As someone who works closely with materials and chemical organisations, I’ve seen how these companies are increasingly exploring how AI can be applied to accelerate R&D and bring down costs.
Indeed, our 2024 Attitudes Towards AI survey revealed that 96% of corporate researchers feel positive about the potential of AI to increase work quality, uncover cost savings and free up time to focus on higher value projects.
Despite interest from early AI adopters, the chemicals industry still holds considerable untapped potential for the use of emerging technologies.
This opportunity stems from the industry’s dependence on scientific data for innovation, the often-fragmented state of proprietary data and the intricacies of manufacturing processes.
Against this backdrop of complexity, research estimates that applying generative AI in the materials sector could generate up to $140 billion in value by enhancing the completeness of data sources.
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