The Discipline AI Didn’t Have to Earn

How generative AI is challenging the filmmaking judgment built through years of discovery.

I watched Jurassic Park again recently and it took me right back to being seven years old in a small theater in Wheaton, Illinois.

I remember the fear and excitement of it. The images. The sound. That T. rex coming to life like nothing I had ever seen before.

More than 30 years later, it still works. The computer-generated images hold because the story, the performances, and the practical effects are all still believable. As a filmmaker, and someone who genuinely knows the hard work that goes into bringing imagination to life, I can feel the years of discipline that went into bringing Michael Crichton’s story to life.

And this time, Ian Malcolm hit me differently.

Malcolm is the chaos theorist brought to Jurassic Park to question what John Hammond and his scientists have created.

“It didn’t require any discipline to attain it… You didn’t earn the knowledge for yourselves, so you don’t take any responsibility for it… your scientists were so preoccupied with whether or not they could that they didn’t stop to think if they should.”

Ian Malcolm was talking about genetic engineering.

He could just as easily have been talking about generative AI.

Every frame of a film is no different from an artist’s brushstroke on a canvas. Humans have been drawn to bringing images to life for thousands of years — from images on cave walls in France to Georges Méliès sending audiences to the moon in A Trip to the Moon.

That process was discovery.

Trial and error. Failure. Practice. Time.

Discipline.

You learned why the shot failed. Why the performance felt wrong. Why the beautiful scene had to be cut.

In my last piece, I wrote about “vibe directing”. Claude’s filmmaking tools push the question further.

Now AI can write, storyboard, generate, revise and assemble the film.

So I keep coming back to one question:

If the computer eventually does 90 percent of the work, who owns the creative authority?

Authorship has to mean more than writing a prompt and accepting what comes back.

What did the filmmaker choose? Reject? Change? Protect? Why did this version become the film?

That is what I am committed to understanding with Atlas Observe.

I use these tools. I believe in what they can make possible. But I don’t want the human author reduced to a prompt.

AI can make more of the film.

The filmmaker still needs to own the creative authority.

Boringly simple. Ridiculously serious about authorship and control.