- MSI

- Mar 30
- 2 min read
AI in Entertainment
Creative Revolution Meets Physical Reality
As the entertainment industry evolves, artificial intelligence is a growing part of the conversation. AI is rapidly reshaping the creative process, moving from a recent behind-the-scenes tool to an active creative partner. From script development to post-production, AI is accelerating workflows while raising new questions about authorship, labor, and sustainability.
In filmmaking, AI is already embedded across the pipeline. Scripts can be drafted or refined with AI assistance, visual effects are generated faster and cheaper, dubbing can be automated with near-perfect lip-sync, de-aging actors, generating background extras, and even pre-visualizing entire scenes are now possible at a fraction of traditional cost.
For studios, this means speed and scale. For creatives, it introduces tension. AI workflow can replace staff; writers, actors, and VFX artists and their unions have raised concerns about job displacement and the erosion of human originality, making AI one of the most debated technologies in Hollywood today. With future contract renegotiations on the very near horizon, these issues are likely to remain continued points of debate.
What remains largely invisible is the infrastructure powering these tools. AI relies on massive data centers, industrial-scale facilities that consume enormous amounts of electricity and water. At the scale of global film production and production company ecosystems, the demand adds up quickly. Reporting from MIT Technology Review and data compiled by Stanford University suggest that cumulative AI usage can reach incredible proportions. Data centers can consume as much power as small cities and require significant water for cooling, sometimes millions of liters per day.
Research from University of California, Riverside highlights the growing freshwater demands associated with AI systems, particularly in large-scale computing environments. As studios and streamers integrate AI deeper into their pipelines, their environmental footprint increasingly depends on these systems.
The assumption is that AI will not only remain viable in the film industry but thrive. But to do so, its infrastructure will have to evolve. Perhaps this will include shifting to renewable energy and developing more efficient models.
The future of filmmaking may depend not just on creative innovation, but on whether the industry can balance technological ambition with the reality of its resources.


