What is Generative AI VFX and Why Is Netflix Betting Big?
The world of VFX (visual effects) has always been a game of time, money, and creativity. Traditionally, creating stunning scenes—think dragons, explosions, or alien landscapes—meant months of work and massive teams. But with generative AI VFX, computers can now generate complex visuals in a fraction of the time. Netflix saw the potential early: by integrating these AI tools into their production pipeline, they have managed to cut costs while keeping quality sky-high. The result? More ambitious shows, released faster, and with budgets that do not break the bank. ???How Netflix Uses Generative AI VFX to Slash Costs
Let's get into the nitty-gritty. Here is how Netflix is actually pulling off this cost-cutting magic with generative AI VFX:1. Automated Scene Generation
Netflix's AI systems can now create entire backgrounds, crowds, and even weather effects without a human artist touching every frame. This means scenes that used to take weeks now take hours.2. Smart Asset Reuse
With AI, assets like buildings or vehicles are generated once and tweaked endlessly for different episodes or series. No more starting from scratch every time.3. Real-Time Previsualisation
Directors can see AI-generated previews of scenes instantly, making creative decisions on the spot—cutting back on expensive reshoots and endless revisions.
4. Automated Rotoscoping and Compositing
Tasks like cutting out actors from green screens or layering effects are now handled by AI, speeding up post-production and reducing manual labour.5. Cost-Efficient Scaling
As Netflix's AI VFX tools get smarter, they can handle more complex tasks with fewer people. This means studios can take on bigger projects without ballooning costs. All these steps add up to one thing: a massive Netflix generative AI VFX cost reduction that is impossible to ignore.The Real Impact: What 75% Cost Reduction Means for Series Production
A 75% drop in VFX costs is not just a number—it is a game-changer. Here is why:More shows can get greenlit, including risky or niche stories that would not have been affordable before.
Smaller studios and indie creators get access to Hollywood-level effects, levelling the playing field.
Faster production cycles mean fans get new seasons and episodes quicker than ever.
Budgets can be shifted to other creative areas, like writing, acting, or practical effects.
5 Key Steps Netflix Took to Achieve AI VFX Cost Reduction
Investing in In-House AI Talent: Netflix built a dedicated AI VFX team, ensuring they could innovate quickly and keep their tech proprietary.
Partnering with AI Startups: By collaborating with cutting-edge AI companies, Netflix got early access to the latest generative models.
Testing on Lower-Risk Projects: Netflix trialled AI VFX on animated series and experimental shorts, learning fast without risking flagship shows.
Scaling Up Gradually: As the AI models proved themselves, Netflix rolled them out to bigger productions, refining the process at each stage.
Training Creatives and Crew: Netflix invested in upskilling their teams, blending traditional artistry with AI-driven workflows for seamless results.
