AI is increasingly being adopted across game development pipelines. But when it comes to video game storyboarding, studios are not asking whether AI is impressive. They are asking whether it is useful. In a recent production discussion with a cinematic director working on the next installment of a franchise that previously released Dead Island 2, we explored this question from a real studio perspective.

This article breaks down that conversation and examines whether AI has a practical role in video game storyboarding and animation storyboard workflows.

How Video Game Storyboarding Works in Production

In AAA studios, cinematic production is structured and multidisciplinary.

A single cutscene may involve:

• Cinematic animators
• Lighting artists
• Audio teams
• Designers
• Writers
• Motion capture performers

However, storyboard creation often depends on a single storyboard artist.

That creates a bottleneck.

The director explained that the goal is not to remove the storyboard artist. The goal is to generate first-pass storyboards quickly, then iterate and refine them with human expertise.

AI is being evaluated as a way to reduce early-stage friction - not replace creative roles.

Types of Cinematic Content in Game Storyboarding

The studio described three tiers of cinematic content:

1. High-Tier Cutscenes

Large narrative sequences involving multiple departments and significant production cost.

2. Dialogue or “Stand and Deliver” Scenes

Quest-giver interactions and character conversations with structured camera flow.

3. Cinematic Events

Short interruptions of gameplay to highlight important moments, such as triggering an object or revealing something critical before returning to gameplay.

Not every scene requires experimental cinematic language.

Many rely on classical shot structure:

• Establishing shot
• Medium shot
• Close-up
• Over-the-shoulder

These predictable structures are where AI may provide efficiency.

What an Animation Storyboard Needs to Deliver

An animation storyboard inside a game studio is not about polished visuals.

It is typically:

• Sketch-based
• Minimal
• Annotated with motion arrows
• Focused on framing and intent

The storyboard serves as:

• A communication tool
• A timing guide
• A framing reference
• A narrative alignment checkpoint

During the discussion, it was clearly stated that AI-generated sketch-style frames were visually sufficient.

The concern was not realism.

The concern was whether the tool could:

• Respect shot logic
• Maintain character consistency
• Allow fast iteration

The Current Game Storyboarding Workflow

The existing process works like this:

1. The director briefs the storyboard artist.
2. The storyboard artist collaborates with a cinematic animator.
3. They spend several days sketching the sequence.
4. A review session identifies missing or incorrect shots.
5. Revisions are requested.

This process is iterative and time-consuming.

When testing AI-assisted video game storyboarding, the workflow looked similar but faster:

• Upload script
• Break it into scenes
• Generate a suggested number of shots
• Adjust framing (wide, medium, close-up)
• Insert additional shots instantly

The structure remains traditional.

The speed changes.

Where AI Is Most Useful in Game Storyboarding

A practical example from the conversation clarifies the potential role of AI.

In a cutscene:

• Two characters meet.
• They exchange dialogue.
• Standard cinematic coverage is used.

Later in the scene:

• A monster breaks through a wall.
• A major event occurs.
• A boss battle begins.

The early dialogue shots follow predictable camera grammar.

If AI can generate those quickly, the storyboard artist and cinematic team can focus more time on the complex, high-impact moments.

This is not about replacing creativity.

It is about reallocating effort toward the shots that require deeper creative decision-making.

Environment and Concept Art Constraints

Another key concern was environment accuracy.

Game productions often rely on:

• Approved concept art
• Defined layouts
• Established environment design

If a boardroom scene requires a specific camera direction - such as a long shot down the center of a table — the AI tool must either:

• Extract that information from the script, or
• Allow manual adjustments and references

Because of this, the studio requested a proper evaluation period rather than relying on a limited trial.

They plan to:

• Assign the tool to their storyboard artist
• Pair it with a senior cinematic animator
• Test it on a real script
• Stress test its limits
• Document detailed feedback

Only after that evaluation would integration into the pipeline be considered.

What AI Is Not Meant to Replace

The conversation made one point clear:

AI is not intended to replace the storyboard artist.

It is not designed to override narrative intent or directorial vision.

It is a pre-production support tool.

Its value depends on how well it fits into existing creative processes.

Conclusion: Is AI Useful for Video Game Storyboarding?

Based strictly on this production-level discussion, AI can be useful in video game storyboarding when used in a specific way.

It is most valuable for:

• Generating first-pass drafts
• Handling standard shot coverage
• Accelerating iteration
• Reducing dependency bottlenecks

If it can save time on predictable scenes and allow artists to concentrate on high-impact cinematic moments, then it earns its place inside a professional game storyboarding pipeline.

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