The AI Conversation Hollywood Can't Avoid

Artificial intelligence has become one of the most contested subjects in the film industry. The 2023 writers' and actors' strikes put AI protections at the centre of labour negotiations for the first time, signalling a shift from theoretical concern to immediate practical reality. Since then, the conversation has only intensified.

But the discourse around AI in Hollywood suffers from a lack of precision. Depending on who you ask, AI is either an existential threat to creative careers or a productivity tool no different from spell-check. The truth, as usual, is more complicated.

Where AI Is Already Being Used in Film Production

AI tools are already embedded in parts of the filmmaking process, often in ways audiences don't see:

  • Visual effects and de-aging: AI-assisted VFX has made de-aging actors and restoring archival footage significantly faster and cheaper than purely manual techniques
  • Script analysis: Some studios use AI tools to analyse scripts for market potential, though these tools are controversial and their predictive accuracy is disputed
  • Dubbing and localisation: AI voice synthesis is being used to create lip-synced dubbing in multiple languages, reducing the uncanny mismatch of traditional dubbing
  • Pre-visualisation: Directors are using AI image generation tools to quickly sketch visual concepts before committing to expensive storyboards or location scouts
  • Post-production cleanup: AI tools assist in noise reduction, colour grading assistance, and removing unwanted elements from shots

The Genuine Concerns

The fears driving industry anxiety about AI aren't irrational. Several issues deserve serious consideration:

Performer Likeness and Consent

The ability to generate synthetic performances using an actor's likeness — trained on existing footage without their ongoing consent or compensation — raises profound ethical and legal questions. The protections negotiated in the 2023 strikes were a first step, but the legal frameworks are still catching up with the technology.

Below-the-Line Employment

The most immediate workforce impact of AI is likely to fall on the "below-the-line" roles: visual effects artists, background performers, illustrators, concept artists, and translators. These workers are often less publicly visible than stars and directors but are essential to film production.

Homogenisation of Content

If AI tools trained on existing successful content are used to generate or heavily influence new scripts and concepts, there's a legitimate concern that output will trend toward the statistically average — optimised for market performance rather than originality or artistic risk.

What AI Cannot (Currently) Do

It's equally important to be clear-eyed about AI's current limitations in creative contexts:

  • AI cannot generate genuine narrative originality — it recombines existing patterns
  • It cannot direct human performances or build the collaborative relationships that define filmmaking
  • It cannot replicate the contextual, cultural, and personal judgment that distinguishes great editing
  • It does not understand subtext, theme, or emotional truth — it identifies correlations in data

The Streaming Platform Dimension

Streaming platforms have an additional AI angle: recommendation algorithms. These systems already shape what content gets watched, which influences what gets commissioned. As AI becomes more deeply integrated into content discovery, the risk is that it creates feedback loops — surfaces popular content, popular content gets more commissions, genuinely original work struggles to find an audience.

The Bigger Picture

AI in filmmaking is not a single event but a gradual integration across many different production contexts. The most useful question isn't "will AI replace filmmakers?" but rather: which parts of the filmmaking process can AI assist without compromising human creative agency, and which parts require human protection?

The industry is in the early stages of answering that question, through negotiation, regulation, and practice. How it resolves will shape not just who gets to make films, but what kinds of films get made.

What Film Lovers Should Watch For

As a viewer, the most important thing to watch is not the technology itself but its effects on the stories that reach you. Are studios taking fewer creative risks? Is the output becoming more formulaic? Are diverse and independent voices finding it harder to break through? Those are the questions that will reveal whether AI integration serves or undermines the art form you love.