Generative AI writing assistants are increasingly present in higher education and promise to augment English as a Foreign Language (EFL) academic writing by providing rapid scaffolding across idea generation, organization, language accuracy, and cohesion. This article synthesizes cognitive and sociocognitive theories of writing with emerging evidence on human–AI collaboration to articulate a practice-ready model in which AI acts as a dynamic, feedback-rich partner during prewriting, drafting, revising, and reflecting. A quasi-experimental evaluation blueprint is outlined, emphasizing rubric-anchored ratings, automated discourse indices, process analytics, and learner-reported self-regulation and ethical use.