What Christopher Nolan’s insistence on shooting real film has to do with why AI-assisted writing still needs a human hand on it.
The loop we’re all stuck in
We’ve all had that one colleague at work who hates using AI. They insist on doing everything by hand, not because they hate the tools, but because they prefer working that way. If you’re a storyteller, you know what that feels like: running on heavy caffeine, walking away from your seat because you have writer’s block, which sounds odd in the age of AI. At work, it can feel like a recursive loop, where a colleague sends a brief generated by AI, and someone else fulfills that request using AI to generate an output. At that point, you could replace both people’s functions, and nobody would notice.
It’s part of why AI writing sounds the same once you’ve read enough of it. My fundamental belief is that people who can think with their hands and minds will be more valuable in the future.
Nolan’s rule
Christopher Nolan is one of those rare creators who keeps strengthening this belief. He insists on shooting on film, uses practical effects instead of CGI, and films on location. His latest, The Odyssey, was shot across six countries. The crew that signed up for his films knows what they’re signing up for, but they also know they’ll create something they’ll cherish forever.
When Nolan was once asked why he works this way, his answer was simple: constraints improve creativity. He shoots everything on camera because the audience subconsciously feels that what they’re seeing is real.
Why real places change real performances
The idea is simple: physical reality creates psychological reality. When Matt Damon enacts a scene that Odysseus would have undergone, on a set in the seas off Marrakesh, he’s more invested in the scene than he could ever be on a soundstage in LA with green screens.
There’s science behind this. Thinking isn’t something the brain does in isolation. Our bodies, movements, and physical environments shape how we think and feel. The physical world becomes part of the thinking process itself.
Why AI writing sounds the same
Audiences are picking up on this shift fast, and it isn’t limited to film. I’m writing this article on a notepad, and I’ve spent the last fifteen minutes just deciding what I want to say. But the moment this piece has a few em dashes, or a sentence structure that resembles “It’s not X, it’s Y,” I’m done for. My work gets labeled AI-generated and inauthentic, because AI writing sounds the same across a million different articles once you know what to look for.
We’ve become remarkably good at detecting subtle cues, whether it’s unnatural lighting in a film or a sentence that reads a little too smooth.
Practical effects, applied to writing
The same principle applies to writing as a craft. Real experiences, observations, conversations, and examples are the practical effects of the writing world. People keep reading an article even after learning it’s AI-assisted if the writer’s own experience is visible in it, because that experience is what lends it credibility. It’s why we still read Hemingway and Didion: their work was built on close observation, not abstract ideas.
When Matt Damon described working on The Odyssey, he didn’t just say he had a great experience. He described what it was like when the film magazine on the new IMAX camera had to be reloaded every two and a half to three minutes of continuous shooting. That kind of detail is what sensory writing looks like, and it’s still a place AI struggles to compete.
Constraints on purpose
That’s also why several writers impose constraints on themselves deliberately. Stephen King has written about aiming for 2,000 words a day in On Writing. Paul Graham makes a related argument in his essay “Putting Ideas into Words”: that there’s a kind of thinking you can only do by writing, a slow process of arriving at your own thoughts by separating signal from noise. Writing, in that sense, externalizes thought rather than just recording it.
What I learned writing my own book
I learned this the hard way while writing my own book. You only discover your core argument after several pages of drafting. I ended up rewriting the book after finishing the first four chapters, because writing them made me rethink the whole idea. That kind of clarity only arrives once you’ve lived with an idea for a while, and constraints are what create the friction that forces it.
This is also why people who’ve grown used to writing with AI find it hard to write once that access is removed, the same way students struggle when you swap their keyboards for notepads. You can’t erase a thought once you’ve put ink to paper. You can strike it out, but it stays there, reminding you that you had it. Modern tools like autocomplete, AI suggestions, and grammar correction quietly take that friction away.
Authenticity is in the particulars
Authenticity comes from particulars, not summary. I could have opened this piece with a single line: “AI is changing the writing business.” Instead I used a chance interaction with a colleague, because it’s believable in a way a generic claim never is; it contains observable reality.
As a child, I was taught to read, remember, and revise. When a teacher made us write something down by hand, the idea tended to stay with us longer than when we just heard it.
Two ways to get there
None of this makes Nolan anti-technology, any more than it makes my by-hand colleague anti-AI. Both simply choose deliberately when to use it. The same is true on the other end of the spectrum: David Fincher embraces digital filmmaking because it allows for more takes, tighter control, and heavy refinement in post-production. Writers using AI to draft quickly and then reshape extensively are doing the same thing.
For Nolan, quality emerges during creation. For Fincher, it emerges through iteration. Neither approach compromises the craft, because both still start with thinking. In the age of AI, a creator’s perception and judgment remain the highest-leverage part of the work.
If I had to sum up what I’ve learned so far: experience before explaining, observe before generalizing, draft before judging, and embrace the constraints that force clearer thinking.
