11-07-2025 10:45 AM

Artificial Intelligence in Cinema: How It Changed in 20 Years

1. From Tools to Co-author

In the early 2000s, AI in film was merely an auxiliary tool—assisting with color grading and rendering. Today, generative neural networks create concept art, backgrounds, and even short videos from text descriptions. Services like Runway enable directors to quickly visualize scenes without lengthy shoots.

2. The Virtual Production Revolution

With the advent of LED volume technology (like ILM's StageCraft, first used in The Mandalorian), actors are now filmed against real-time projections. This has replaced green screens and saved millions previously spent on location shooting.

3. Digital Faces and Voices

AI enables actor "de-aging" and voice recreation. For instance, Robert De Niro appeared 30 years younger in The Irishman, while the voice of a young Luke Skywalker was recreated by Respeecher. This has unlocked new creative possibilities—while sparking intense ethical debates.

4. AI in Scriptwriting and Post-production

Programs now analyze scripts, cast actors, and even suggest editing rhythms. In post-production, neural networks automatically stabilize footage, select the best takes, and recommend ways to enhance a scene's emotional impact.

5. Cinema Without Barriers

Whereas complex visual effects were once the domain of giants like Marvel, neural networks have now democratized this capability. Independent filmmakers use Runway, Kaiber, and Pika to create films literally "on a laptop."

6. The Era of Ethics and New Professions

Key future questions include: Who owns actors' digital replicas, and how can we distinguish "real" footage from generated content? Hollywood unions have already incorporated clauses protecting actors' digital likenesses in contracts. New professions are emerging—"neuro-VFX engineer" and "virtual volume operator."