Represented by large language models (LLMs), Generative AI provides an unprecedented breadth of tools for improving the efficiency of everyday work, including text generation, summarization, and most recent agentic automations. During the past year, geoscience domain foundation models built on seismic and wellbore data have gained significant interest and shows their promises on various subsurface domain applications. The popularity of this topic was well represented at IMAGE’24, where the PCW on Gen AI was highly attended with rich discussions throughout its half-day program. We propose continuing these efforts and expanding the dialogue to not only the recent advances in Generative AI and foundation models, but also the value of other state-of-the-art machine learning models, facilitating discussion around the role of all machine learning solutions in the age of Generative AI, and how the geoscience community can benefit from the technology advancement from both directions.