This talk explores the current limitations of generative AI when used for
immersive video and virtual production. While AI tools can produce
impressive imagery, they still struggle with the technical and physical
requirements needed for large-scale cinematic environments.

The presentation focuses on four key areas where these systems fall
short: motion, resolution, consistency, and overall image quality. In
immersive workflows such as LED volumes and car process, footage
must hold up to extreme resolution, accurate lighting interaction, and

long continuous motion without artifacts or temporal instability. AI-
generated imagery often breaks under these conditions, producing

flicker, inconsistent geometry, unstable lighting, and insufficient detail for
large displays.

Drawing from real-world virtual production experience, the talk
compares AI outputs with physically based CG and traditional plate
photography, explaining why reliability, control, and repeatability remain
critical for professional productions.

The goal is not to dismiss AI, but to clarify where it currently fits in the
filmmaking pipeline and where traditional approaches still provide the
precision required for high-end immersive content.