The Caretaker Mindset: Why Filmmakers Adapt to AI Faster Than Authors

How shifting from "protective parent" to "story caretaker" transforms your relationship with AI tools

When filmmaker and author Macarena Luz Bianchi appeared on our Brave New Bookshelf podcast, she shared an insight that stopped me in my tracks. Describing her approach to AI tools, she said she sees herself as "the caretaker of the story."

This wasn't just a poetic turn of phrase. It revealed something fundamental about why some creatives embrace AI while others resist it with every fiber of their being.

The Collaborative Foundation

In filmmaking, Macarena explained, great ideas can come from anywhere. The craft service person might suggest a brilliant visual element. A grip might offer a solution to a staging problem. The director's job isn't to generate every creative thought personally. It's to recognize good ideas regardless of their source and weave them into a cohesive vision.

"We say a story is written three times," she noted. "When you write it, when you shoot it, and when you edit it." Each stage involves collaboration, refinement, and openness to unexpected contributions.

This reminded me of my own experience working in collaborative environments at large companies before becoming an author. When you're part of a team building something together, you learn to evaluate ideas based on their merit, not their origin. The best solution wins, whether it came from the CEO or the intern.

Then I became an author, and suddenly I was working alone. While this solitude felt liberating initially, it eventually became isolating. When AI tools emerged, they felt like having a team again. I could bounce ideas around, get different perspectives, and collaborate without worrying about human flakiness, missed deadlines, or hurt feelings.

The Collaboration Discovery

Authors who adapt fastest to AI tend to be those already comfortable with collaboration. They might have worked in critique groups, had co-writing partnerships, or come from team-oriented professional backgrounds.

These authors immediately understand that AI can be like having a brainstorming partner who's always available, never gets tired, and doesn't have human drama or reliability issues.

Conversely, authors who've always been solitary — perhaps introverts who never worked well on teams — often struggle with AI collaboration. It's not the technology itself that's the barrier; it's the collaborative mindset.

The Author's Dilemma

But here's where authors face a unique challenge. Unlike filmmakers, who've always worked collaboratively, many authors have been taught to view their work as intensely personal, almost sacred creations.

This "protective parent" mentality runs deep in writing culture. Authors often speak of their books as "babies" or describe the writing process in terms of bleeding onto the page. There's a romanticized notion that true art must involve suffering, that every word must be wrung from the depths of the author's soul.

This mindset makes AI collaboration feel like cheating or, worse, like abandoning your creative children to be raised by machines.

The "Precious and Unique" Trap

I see this resistance most clearly when authors insist their story premise is completely unique, something that's never been told before. They've convinced themselves they're protecting something irreplaceably precious.

Here's the uncomfortable truth: there are no new stories. Everything has been done. What makes your work unique isn't the basic premise. It's how you tell it, the specific elements you weave together, the particular voice you bring to universal themes.

Understanding this is liberating because it means you can accept good ideas from anywhere (including AI) without compromising your story's authenticity. Sometimes those external suggestions actually help bring out themes or elements that make your story more distinctly yours.

The Objectivity Superpower

Here's where the caretaker mindset becomes a genuine superpower: objectivity. When I work with AI, I'm much more objective about the output because I didn't pour my heart and soul into every single word. I didn't cry tears or bleed for each sentence.

This doesn't mean I love the work less. I'm still a passionate champion for my stories. But I didn't have to "suffer" for every paragraph, which means I can evaluate AI suggestions with clearer judgment.

I can look at something the AI generated and think, "I LOVE this!" and keep it, or "No, that doesn't work" and discard it without feeling like I'm rejecting a piece of my soul.

This objectivity prevents the paralysis that comes from making every creative decision feel life-or-death important. It also protects against the burnout that happens when authors believe they must sacrifice their mental health for their art.

Why Writers Lag Behind Other Industries

The resistance to AI in the writing community is particularly striking when compared to other creative fields. Film, music, and visual arts have consistently adapted new technologies. Why are writers different?

I think traditional publishing insulated authors from technology for decades. Authors only had to turn in manuscripts. Publishers handled websites, newsletters, marketing, and sales. Being an author meant focusing solely on writing good stories.

Everything changed with self-publishing. Suddenly authors had to run entire businesses. Some embraced this challenge enthusiastically. Others clung to traditional publishers. Many simply gave up.

AI represents another technological shift, and we're seeing the same pattern of adaptation, resistance, and abandonment.

Practical Caretaking

So what does being a story "caretaker" actually look like in practice?

It means approaching AI conversations with an open mind, considering all suggestions before making final decisions. It means recognizing that implementation is where your unique contribution happens. No one else would execute these ideas exactly as you do.

It means caring more about serving the story than protecting your ego. If the AI suggests something that makes the story better, you use it. If it suggests something that doesn't work, you discard it. The source doesn't matter; the story's needs do.

Most importantly, it means understanding that accepting help doesn't diminish your role as the creative director. You're still making every final decision. You're still shaping the vision. You're just not generating every idea from scratch.

The Ego Elephant

Let's address the elephant in the room: much of the anti-AI resistance is ego-driven. Some authors have built their entire identity around being tortured artists who create solely through personal genius and suffering.

AI threatens this identity because it suggests that good creative work can emerge from collaboration, that suffering isn't a prerequisite for art, and that external input can actually improve your stories.

For authors whose egos are deeply invested in the "lone genius" model, this feels like an existential threat. I'm not sure how to reach these writers, honestly. Sometimes ego must collapse before growth can happen.

The Path Forward

The future belongs to authors who can think like caretakers rather than protective parents. Those who can evaluate ideas based on merit rather than origin. Those who understand that collaboration enhances rather than diminishes creativity.

This doesn't mean abandoning your unique voice or vision. It means recognizing that serving your story might require accepting help, ideas, or perspectives from unexpected sources.

AI has already become part of the creative landscape. And now authors face a choice: adapt the collaborative mindset needed to use these tools effectively, or cling to an outdated model of solitary creative suffering.

Your stories deserve caretakers who will use every available tool to serve them well. The choice is yours.

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Want to hear more from Macarena Luz Bianchi on filmmaking and AI? You can listen to her entire interview on our audio podcast or on YouTube. Find out more on the Brave New Bookshelf website.