ARTIFICIAL INTELLIGENCE IN CINEMATOGRAPHY: CURRENT TRENDS, TECHNOLOGICAL ADVANCEMENTS, AND INDUSTRY IMPACT

Abstract Artificial intelligence (AI) is fundamentally transforming cinematography, introducing unprecedented capabilities across the entire filmmaking pipeline. This systematic review synthesizes findings from 76 research papers—with detailed focus on 30 key studies published between 2021 and 2026—to examine how AI technologies are reshaping pre-production, production, and post-production workflows. Generative models, computer vision, natural language processing (NLP), and reinforcement learning are collectively enabling new forms of cinematic expression while lowering technical barriers for independent filmmakers. Key findings indicate that AI systems accelerate creative workflows, reduce production costs, and expand the aesthetic palette available to directors and cinematographers. However, significant challenges remain concerning temporal consistency, authorship, ethical accountability, and the balance between automation and human creative control. This review maps the current technological landscape, evaluates performance evidence, and identifies priority directions for future research and responsible deployment.