We developed a deep learning system to predict future ocean phytoplankton, the base of the marine food web. Using long-term records from climate model simulations and past ocean data, it provides skillful chlorophyll forecasts across global coastal regions, comparable to those from dynamic climate model forecasts. The predicted chlorophyll also explains historical changes in fish catch, offering a new tool to help communities prepare for climate-driven marine ecosystem changes.