This paper presents a comprehensive review of Artificial Intelligence (AI) and Machine Learning (ML) applications in Visual Effects (VFX) and video editing workflows. The study explores how AI-driven automation is transforming post-production pipelines through intelligent segmentation, automated video editing, motion synthesis, deepfake generation, object tracking, neural rendering, and generative content creation. By analyzing over 41 peer-reviewed studies published between 2020 and 2026, the paper evaluates the technological advancements, workflow efficiency improvements, and creative opportunities enabled by AI integration in media production. The review highlights key technologies including deep learning, diffusion models, GANs, transformer-based architectures, and Neural Radiance Fields (NeRF). It further discusses production efficiency gains, cost optimization, and enhanced creative flexibility achieved through AI-assisted tools. Alongside technical developments, the paper also examines ethical challenges such as copyright concerns, digital replication, misinformation risks, workforce displacement, and content authenticity. The findings suggest that AI functions most effectively as a collaborative creative assistant rather than a replacement for human creativity. The paper concludes by identifying future research directions in multimodal AI systems, human-AI collaboration, ethical governance frameworks, and adaptive professional development within creative industries.
Bagdi et al. (Sat,) studied this question.