Video codecs contain rich intrinsic data about motion and temporal relationships that current generative AI training largely ignores. These structured representations could enhance model capabilities and improve training efficiency. This article explores why this valuable resource remains underutilized and the potential benefits of integrating codec intrinsics into AI training pipelines.