AI’s influence is undeniable in the digital realm, affecting consumers’ lives and corporate operations. Transferring these advancements to sectors producing physical goods, such as drug discovery and biotech, commodity chemicals, materials for energy and sustainability, and manufacturing, presents a thrilling prospect and a translational challenge. This talk will explore the present use cases and the potential of applying generative AI within the chemistry and materials domain. Unlike a large part of the tech sector, these industries are capital-intensive and cautious, meaning that AI must bridge an “execution gap” between the digital and physical realms for value generation. We will outline strategies to overcome current technical and cultural hurdles.