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Alex Zarfati Gave Up Waiting for Studios — and Built His Own Shows With AI

A filmmaker who hoped YouTube would win studios over instead built his own shows with AI, abandoning the greenlight chase.

By mitch·6 min read
A solitary filmmaker sits amid glowing screens of AI-generated images in a dim studio.

Alex Zarfati started making YouTube videos with a plan: build a platform presence, catch the eye of studios, and get his projects funded. His first upload has 768 views. He has since changed course. Instead of waiting for studios to say yes, he is now building his own shows — and he is doing it with AI.

Zarfati originally got into filmmaking through music. He scored other people’s documentaries, and that work gave him a behind-the-scenes look at the film and TV production process. He saw what went into making those shows, and he decided he wanted to try his hand at it himself.

“I realized there were so many things in the space that I wanted to do and get involved in,” Zarfati said.

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The Music Path

Music was Zarfati’s first love. He scored other people’s documentaries, and that work gave him a behind-the-scenes look at the film and TV production process. He saw what went into making those shows, and he decided he wanted to try his hand at it himself.

The documentary work gave him a practical education in production. He learned about scheduling, budgeting, and the collaborative workflow that goes into making a finished show. That experience made him want to move beyond scoring and into the director’s chair.

His first YouTube video has 768 views. The number is small, but it is not the point. The point is what came next: Zarfati stopped trying to impress studios with a channel and started building his own projects, using AI tools to handle some of the heavy lifting.

The Greenlight Problem

Zarfati’s original strategy was simple: build a platform presence, catch the eye of studios, and get his projects funded. The idea was that a growing YouTube audience would signal demand, and studios would respond by funding his ideas.

That logic only works if studios are paying attention to creators online. Zarfati found that out the hard way. The first video has 768 views. It is a modest start, and it did not move the needle on studio interest. Zarfati could see that the path from YouTube to greenlight was not working for him.

Building Without Permission

When the greenlight route stalled, Zarfati pivoted. He decided to stop asking for permission and start making things himself. That meant taking on roles he had previously left to others — directing, producing, and even handling some of the technical grunt work.

AI has become his partner in that work. He uses AI tools to handle tasks that would otherwise require a full crew, freeing him to focus on the creative decisions that matter most to him. The technology is not a replacement for his craft; it is a helper that lets him move faster.

The shift is notable because it shows a creator adapting to a broken path. Zarfati did not give up when the studios said no. He changed the question entirely, moving from “how do I get a studio to fund this” to “how do I make this happen on my own.”

What AI Does For Him

AI is not a silver bullet for filmmaking, but it has changed the economics of independent production. Tools that once required a dedicated staff can now be handled by a single person with access to the right software. Zarfati uses these tools to manage tasks that would otherwise slow down the creative process.

The specific tools Zarfati uses are not detailed in the report. What is clear is that AI has lowered the barrier to entry for independent filmmakers. Someone working alone can now produce a professional-looking show without a full crew, though the exact scope of what he can achieve on his own remains unquantified.

The advantage of AI is speed. A task that once took hours or days can now be done in minutes, giving Zarfati more room to experiment and iterate on his ideas. The technology is not a replacement for his craft; it is a helper that lets him move faster.

The View Count

The view count is a blunt measure of engagement. Zarfati’s first video has 768 views. That number tells you nothing about quality, intent, or the shape of his audience. It is simply a record of how many people watched that initial upload.

For a creator whose plan was to use YouTube to signal demand to studios, the number is modest. It suggests that the channel has not yet built the kind of audience that would force a studio to pay attention. The view count is also a reminder that platform metrics are not a proxy for talent. A creator with a small audience can still make excellent work; a creator with millions of followers can make dreck. The number is a data point, not a verdict.

The New Plan

Zarfati’s new approach is to build his own shows. He is using AI to handle some of the production work, which allows him to move faster and take on more responsibility than he could before. The goal is the same as it ever was: to make the kinds of shows he wants to watch.

The pivot from hoping for a greenlight to building independently is a significant change in direction. Zarfati is no longer chasing approval from studios; he is creating his own opportunities. That takes courage, because it means accepting that the path he thought would work does not exist.

What We Make Of It

The story is amusing because it shows the gap between intention and reality. Zarfati wanted to use YouTube to convince studios to fund his projects, and he ended up building them himself with AI. The irony is that the tools that were supposed to help him win studio backing became the tools that let him work independently.

The lesson is that creators should not bet their careers on a single path. Zarfati tried the greenlight route and found it closed. He pivoted to a different strategy, and that pivot worked. The AI tools that were once a support for studio-funded projects are now the foundation of his independent work.

Zarfati’s story is a reminder that the best-laid plans often fail, and that failure is not the end. It is the beginning of a new approach. The view count is a footnote to that story, a small number that marked a turning point rather than a destination.

The story is also a warning to other creators. A platform presence does not guarantee studio backing. Zarfati had a channel, and it did not move the needle. He had to find another way.

Stage Action Outcome
Early career Music scoring for documentaries Behind-the-scenes education in production
YouTube phase First video uploaded 768 views
Greenlight phase Hope for studio funding Stalled
Pivot phase Build shows independently Using AI for production
  • Music scoring was his first love
  • Documentaries gave him a production education
  • YouTube was his attempt to signal demand
  • AI is now his production partner

Zarfati’s story is a cautionary tale about the fragility of creative ambition. The path from YouTube to greenlight is real for some, but it is not guaranteed for anyone. The better approach is to build your own opportunities, and AI has made that possible for creators willing to adapt.

The story ends with Zarfati building his own shows, using the tools that were once a support for studio-funded projects. The view count is a footnote to that story, a small number that marked a turning point rather than a destination.

Source material: “Alex Zarfati hoped being on YouTube would help him convince studios to greenlight his projects. Now he’s doing things himself–with AI.,” Tubefilter.

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