Netflix Deploys AI Effects for the First Time

Netflix has officially used AI to generate final visual effects in one of its original series. This marks a major moment in entertainment technology. For the first time, a scene produced with generative AI has made it into a finished Netflix show. The scene appeared in El Eternauta, a sci-fi series from Argentina. It involved a dramatic building collapse that was created faster and cheaper than traditional VFX methods.

This article explains what Netflix did, why it matters, how AI helped, and what this means for the future of filmmaking. If you’re a content creator, producer, or media professional, these updates could directly affect your work.

What Is El Eternauta and How Was AI Used?

El Eternauta is a new sci-fi series that required a complex visual scene showing a building collapse. Instead of relying on full-scale traditional VFX, Netflix used generative AI to produce the sequence. This was the first time the platform included AI-created visuals in a released show.

The effects were produced during post-production using AI tools. This process was not just an experiment. It was a completed, polished effect that viewers saw in the final version of the episode.

Why Netflix Turned to AI Effects

The primary reason was cost and time. According to Netflix co-CEO Ted Sarandos, traditional effects for this kind of scene would have been too expensive for the show’s budget. Using AI allowed the team to finish the sequence at a fraction of the cost and in just one-tenth of the time.

But Sarandos made it clear that this wasn’t only about saving money. He said AI provides creative teams with more tools to tell better stories. AI helped teams plan shots, preview ideas, and execute complex visual scenes that might not have been possible with limited resources.

Benefits of AI in Visual Effects

AI offers more than just speed. It changes how content can be made from the ground up. Netflix was able to scale up the quality of effects in a mid-budget show. That alone opens new doors for other regional or smaller productions.

By using generative AI, teams can explore more creative ideas without being held back by long render times or cost constraints.

Use Cases of Generative AI in Film Production

Area of Use	AI Contribution
Visual Effects (VFX)	Scene generation, object removal, motion blur
Pre-visualization	Storyboarding, camera angle simulation
Trailer Creation	Auto-cutting, scene tagging, music syncing
Interactive Content	Scene variations, smart branching logic
Marketing Assets	Ad banners, dynamic thumbnails, promo videos

This table shows how AI isn’t just about replacing artists. It expands what creators can do.

AI Will Not Replace Human Creativity

Netflix was quick to clarify that AI is being used as a tool to support, not replace, human artists. AI helped speed up technical parts of the process, but the storytelling, direction, and emotional design still came from the creative team.

In fact, AI allowed artists to focus more on the creative side by automating time-consuming tasks like scene planning and effect setup.

This view supports Netflix’s broader strategy of using AI in a way that protects artistic vision while improving productivity.

Industry Reactions and Creative Concerns

The use of AI in visual media has sparked debate in Hollywood and beyond. Many fear that AI could lead to job loss in post-production and visual design. These concerns were central during the 2023 Hollywood strikes.

Netflix says its approach aims to avoid this. The company is keeping humans in charge while letting AI handle the technical or repetitive tasks. This helps reduce cost and effort without compromising jobs or quality.

Other Areas Where Netflix Is Using AI

Netflix is not limiting AI to VFX. The company is exploring AI across other parts of production and user experience. This includes:

• Automated trailer generation
• Personalized artwork and thumbnails
• Voice dubbing for international versions
• Interactive storytelling with smart scene paths
• Personalized search results and recommendations

These experiments suggest Netflix views AI as a core part of its long-term strategy.

Financial Context Behind the Move

The timing of this rollout comes during a strong financial phase for Netflix. In Q2 2025, the company reported $11.08 billion in revenue, a 16 percent increase year over year. Viewer engagement reached a record 95 billion hours watched.

Using AI may help Netflix maintain growth while controlling costs. The success of El Eternauta could encourage similar decisions across other original titles.

Comparing AI VFX to Traditional VFX

AI is not replacing VFX departments yet, but it’s changing the process quickly. Instead of outsourcing or building large teams, small production units can now achieve cinematic results with the help of smart tools.

Traditional VFX vs AI-Generated VFX

Category	Traditional VFX	AI VFX
Time to Produce	Weeks or months	Hours to days
Cost Range	High (varies by scope)	Low to moderate
Required Team Size	Large (specialists, artists, engineers)	Small (tool operators, editors)
Creative Flexibility	Limited by budget and time	High flexibility at low cost
Visual Accuracy	High but time-intensive	Improving rapidly, needs supervision

This comparison shows why AI is appealing in tight production schedules or experimental formats.

Upskill for the Future of Content Creation

If you’re in media, design, or content marketing, AI is becoming part of your workflow. Learning how these tools work can give you a career advantage.

Creative professionals can begin with an AI Certification to understand how generative models are applied in real media projects.

If you’re more interested in data and backend pipelines, the Data Science Certification can help. For business-focused roles in digital storytelling and branding, the Marketing and Business Certification is worth exploring.

Final Takeaway

Netflix’s use of AI-generated effects in El Eternauta signals a big change in how content is made. It shows that AI is no longer a side tool—it’s part of mainstream production.

By using AI to save time and money, while still protecting artistic control, Netflix may have set a new standard. As tools evolve, expect AI to become part of everything from VFX to storyboarding and marketing.

Professionals in the media space should take this seriously. Those who adapt now will lead the next wave of content creation.