AI
WALL TO WALL
NATIONAL GEOGRAPHIC
DISNEY
WARNER BROS. DISCOVERY
WALL TO WALL
KARMA FILMS
SCREEN WIZARDS
WALL TO WALL NATIONAL GEOGRAPHIC DISNEY WARNER BROS. DISCOVERY WALL TO WALL KARMA FILMS SCREEN WIZARDS
FILM COMPANY
Many companies use AI. Very few can produce with it.
What Is AI Film Production?
An AI film production is a film produced using artificial intelligence within the production process.
The term is widely used but inconsistently defined. In practice, it is applied to very different types of work, ranging from visual experiments and shots to fully commissioned productions.
To understand what qualifies as an AI film in a professional production context, the distinction is not creative. It is structural and legal.
A working definition
An AI film is a film produced within a system where:
Artificial intelligence participates directly in creation
Human authority over decisions is explicit
Both human and machine authorship are recorded during production
Responsibility for output is clearly assigned
The work can be delivered and audited
If these conditions are not met, the output may still be valid creative content. It does not function as a monetisable asset within standard studio production, commissioning, or delivery frameworks.
How the term is commonly used
Most uses of the term “AI film production” currently fall into one or more of the following categories:
Films that incorporate AI tools at some stage
Short-form, experimental or full works generated by models
Post-production workflows that include AI automation
These approaches can produce compelling results. They do not, on their own, establish a production system.
Using AI does not define the category.
How production is organised does.
Where the difference appears in practice
The distinction becomes visible when basic production questions are asked:
Who made the work
When it was made
Under whose authority decisions were taken
Which system was used
What record exists
In conventional film production, these questions are answered implicitly by the tools and the production structure. In AI-assisted workflows, they are often answered later, often by human reconstruction.
Reconstruction can be workable at small scale. It becomes unreliable as complexity increases.
AI-assisted and AI-native production
Two broad patterns are visible in current practice.
AI-assisted production
AI tools are introduced into existing pipelines
Authority remains distributed across tools and teams
Attribution is assembled from files, logs, and memory
AI-native production
AI is integrated at the system level
Production is designed to account for AI participation
Authorship and state are recorded as production happens, recorded rather than observed
The distinction is not philosophical. It affects delivery, compliance, and scale.
Why this matters operationally
Film production depends on accountability.
Commissioning, insurance, legal clearance, delivery and payments all rely on the ability to demonstrate:
who was responsible
what was created
under what conditions
AI increases the need for clarity rather than reducing it. As automation increases, tolerance for ambiguity decreases.
This is why many organisations approach AI cautiously. The concern is rarely creative capability. It is responsibility.
Implications for commissioning and delivery
From a commissioning perspective, an AI film must still meet the same requirements as any other production:
contractual attribution
defensible authorship
technical traceability
reliable delivery
If AI is involved but intent, authority, and record are unclear, the risk does not disappear. It moves.
Current production reality
At present, only a small number of production companies operate AI within a fully governed production system.
Most activity described as “AI film production” occurs outside formal production structures, or at stages that do not carry final responsibility.
Whether a film qualifies as an AI film in production terms is not determined by intent or description. It is determined by evidence that can withstand legal scrutiny.
In practice
These conditions are met when AI operates within a production system that records authorship, assigns authority, and supports delivery.
This is the basis on which AI film production can be commissioned, insured, and distributed.
Asa Bailey
AI Film Company
BAI-LEY