What's Next? — AI in Animation
Jappan · Tyler · Yuri · BCIT · 2026

AI & the Future of
Animation

How artificial intelligence is reshaping storytelling, production pipelines, and creative jobs in the animation industry — from 2027 to 2036.

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Team
Our Team
Jappan

Jappan

Researcher

Tyler

Tyler

Researcher

Yuri

Yuri

Interview Coordinator
Website Development
Design

2027
2027

AI as a Creative Assistant — Human Storytelling Leads

AI assists, humans lead. Pre-visualization, temp voice lines, fast editing experiments — all accelerated by AI.

Directors test ideas faster without replacing the artists who bring them to life. Human creativity still drives every project.

AI Actively Improves Speed & Production Pipelines

AI is already embedded across animation workflows — accelerating pre-viz, automating rendering, compressing timelines.

Studios experiment cautiously: AI handles the scaffolding, humans define the vision. Faster iteration, but no wholesale replacement of artists yet.

"I could see AI being useful for pre-visualization… blocked out in 3D really quickly… AI-generated audio where you just type it out. Things like that could help mitigate the speed at which you're visualizing stuff."
— Justin Marmulak, Production Coordinator · Netflix Animation
Click to expand

AI Isn't Ready — But Studios Use It to Cut Costs Anyway

Studios deploy AI primarily as a cost-cutting measure, reducing entry-level animation jobs before the tools are mature enough to maintain quality.

Younger creators risk becoming over-reliant on AI, weakening foundational animation skills industry-wide.

The race to cut costs outpaces the technology's readiness — resulting in lower quality output, frustrated artists, and audiences who notice the difference.

"People want to see themselves in the art."
— Justin Marmulak, Production Coordinator · Netflix Animation
Studios chasing efficiency risk losing exactly this.
Click to expand
2031
2031

AI Supports Creative Decisions — Faster Workflows, Human Direction

AI becomes a powerful analytical partner — evaluating scripts, suggesting cinematography, simulating audience reactions. Creative directors remain firmly in charge.

Animation teams work faster with greater confidence. AI handles hours of repetitive rendering that once consumed human energy and budget.

"The repetitive tasks of rendering and seeing what it looks like, and then tweaking and rendering — that all takes time and human hours. I can see stuff like that kind of being washed away."
— Justin Marmulak, Production Coordinator · Netflix Animation

AI-Driven Workflows Become the Norm Across Animation Studios

By 2031, most studios have standardized on AI-assisted pipelines for rendering, compositing, and scheduling.

The question is no longer whether to adopt AI — it's how to maintain creative authenticity while doing so.

AI Begins Influencing Creative Control — Artistic Risk-Taking Declines

Studios automate increasing portions of the pipeline, reducing technical roles in rendering, editing, and scheduling.

Creative decisions begin deferring to data-driven AI suggestions, narrowing the scope for bold artistic choices.

Robot arm displacing a worker — AI job displacement illustration
Structure: Optimistic = headline, Most Likely = headline + sources, Pessimistic = deep dive ============================================ -->
2036
2036

AI Accelerates the Pipeline — Independent Filmmakers Rise

AI dramatically speeds up rendering, VFX, and scene visualization. Independent creators gain studio-quality tools with small teams.

But audiences increasingly seek hand-crafted work that reflects human perspective and identity.

"I firmly believe that when we see Disney making AI-driven movies versus people on YouTube making hand-drawn animation — people are going to prefer the other. People want to see themselves in the art."
— Justin Marmulak, Production Coordinator · Netflix Animation

Generative AI in Animation Surges Toward a $100B+ Market

The global market for generative AI in animation explodes past $100 billion. Studios that invested early in human-AI hybrid workflows lead the industry.

The tools are industry-standard. The competitive edge belongs to the most creatively ambitious humans.

Automation Hollows Out the Pipeline — Studios Consolidate Power

Major studios control the most powerful proprietary AI tools, concentrating creative and economic power in a handful of corporations.

Films optimized for AI efficiency metrics rather than emotional resonance. Audiences sense something missing. A cultural backlash builds.

"People are going to prefer the other. People want to see themselves in the art."
— Justin Marmulak · In the pessimistic scenario, studios ignore this.

Where Does the Soul
of Animation Lie?

While AI can optimize rendering and generate perfectly smooth 24fps sequences,

"sometimes 12fps is the human experience because you're seeing the decisions”, as Justin pointed out.

In Spider-Verse, Miles Morales starts choppy, that roughness isn't a bug. It's the soul.

Human animators use "imperfection" to reflect human experience. AI tends to overlook the emotional truth in clumsiness, roughness, and rawness.

When AI handles the method, "why" becomes everything.

Hover to reveal →
"People want to see themselves in the art."
— Justin Marmulak, Netflix Animation

Example: 12fps hand-drawn animation; human decision

Justin Marmulak

Justin Marmulak

Production Coordinator · Netflix Animation Studios

linkedin.com/in/justinmarmulak ↗

Production Coordinator, Netflix Animation — Conference Co-Chair, Spark Animation.

Justin navigates the intersection of creative leadership and production operations at Netflix Animation. Rooted in an "artist-first" philosophy, he oversees complex workflows and serves as a leadership figure in the industry.

Co-Chair of the Spark Animation Conference — where team member Yuri first connected with him. A vocal advocate for the human touch in storytelling.

"People want to see themselves in the art."

Justin on AI & the Future of Animation

In this interview, Justin reflects on how AI tools are already influencing production timelines at Netflix Animation — from pre-visualization to rendering — and shares his prediction that audiences will ultimately gravitate toward animation made with genuine human vision, even as AI-generated content scales.

Read the Interview Transcript ↗

Skip the 25-min video — the AI transcript summary on Otter.ai gives you the key insights in minutes.

"People are going to prefer the other. People want to see themselves in the art."
— Justin Marmulak, Production Coordinator · Netflix Animation Studios

Perspective

Justin's outlook on AI in animation — from today through 2030+

Current Use

Outlook

Utilizing AI (Gemini / G Suite) for administrative automation like meeting summaries and email organization.

The 2027 View

Near Future

Predicting AI use in pre-visualization and temporary audio generation to speed up the iterative process.

The 2030+ Vision

Long Term

AI as a sophisticated "AB testing" tool for cinematography and lighting, while creative leadership remains human-led.

The Human Factor

Core Belief

High-end studios like Netflix prioritize auteurs and organic skills to create lasting, emotionally resonant properties.

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