A recent segment from the Today show spotlighted a headline that feels both futuristic and familiar: an AI-generated version of Val Kilmer will appear in a new film.
The project, As Deep as the Grave, uses generative AI to recreate Kilmer’s performance after his death, allowing him to take on a role he was originally cast in but never filmed due to health challenges.
This moment is less about a single film and more about what it reveals. AI is no longer just a production tool. It is becoming a way to extend presence, performance, and legacy.
A Performance That Was Never Filmed, Now Completed
Kilmer had been attached to the film for years, cast as a central character. But illness prevented him from ever stepping onto set.
Instead of recasting, the filmmakers chose a different path. Using archival footage, voice recordings, and AI modeling, they are constructing a performance that aligns with the original creative intent.
The result is something new. A role that exists without a traditional performance ever being captured on camera.
AI as a Tool for Continuity
Historically, when an actor could no longer complete a role, productions had limited options. Recast, rewrite, or cancel.
This project introduces another option. Continuity through AI.
In this case, AI is being used to:
- Reconstruct a performance that was planned but never executed
- Integrate a character into a story that was built around a specific actor
- Maintain narrative consistency without reshooting
It shifts AI from enhancement to completion.
The Role of Consent and Collaboration
One of the defining aspects of this project is that it is being done with the involvement of Kilmer’s estate and family, who approved the use of his likeness.
That signals an emerging structure in Hollywood:
- Estates as stakeholders in digital performances
- Likeness as a managed and licensed asset
- AI as a collaborative extension, not an independent creator
This aligns with broader industry movement, where unions and stakeholders are emphasizing authorization and transparency in the use of digital replicas.
A New Category of Performance
What makes this moment distinct is not just that AI is being used, but how it is being used.
This is not:
- De-aging
- CGI enhancement
- Voice correction
This is a fully constructed performance built from existing data.
That introduces a new category in film. Performances that are assembled, not captured.
What This Means for the Film Industry
The use of AI in this way begins to reshape several core ideas in filmmaking.
1. Casting Becomes More Flexible
Actors may no longer be limited by time, availability, or even lifespan in the traditional sense.
2. Productions Gain New Options
Films that might have been stalled or rewritten can now move forward with original casting intact.
3. Archives Become Active Assets
Past footage, voice recordings, and image libraries are no longer static. They become inputs for future performances.
4. Performance Extends Beyond Presence
An actor’s contribution to a film may no longer require physical participation at the time of production.
The Broader Shift: From Capturing to Constructing
For over a century, filmmaking has been based on capturing performances in real time.
AI introduces a parallel model:
- One where performances can be constructed after the fact
- One where identity can be recreated from data
- One where storytelling is no longer bound to physical production alone
Where This Connects to Rights and Ownership
As this model expands, it introduces new considerations around:
- Who controls an actor’s likeness
- How performances are credited
- How compensation is structured when AI is involved
Platforms like TraceID are built around this shift, helping rights holders verify ownership, manage licensing, and track how identity is used in AI-generated content.
Because in a world where performances can be recreated, control becomes the foundation of value.
The Takeaway
The AI-generated return of Val Kilmer is not just a technological milestone. It is a signal of where film is heading.
A performance no longer has to be filmed to exist.
A role no longer ends when production stops.
And an actor’s presence may extend far beyond the traditional boundaries of time and screen.
The question is no longer whether AI will be used in film.
It is how the industry defines authorship, ownership, and participation when it is.