The more I work with AI, the more I am amazed by human creativity. That is not the reaction most people expect. But when you work inside these systems — evaluating them, breaking them, watching where they struggle — what becomes clear is where everything they know actually came from. AI learned from human output. Every pattern, every structure, every instinct it can approximate came from the accumulated record of what humans made. Sitting with that changes how you see the whole thing.
I started as a musician. That was the first craft. But somewhere along the way I got curious about everything else — graphic design, web development, photography, video production, traveling as a form of cultural study. Not because I needed to switch careers. Because a new form of making something was always interesting enough to learn. That curiosity has been the actual constant, not any single discipline.
So when AI tools became cheap and accessible enough that anyone could plausibly build an app, I felt the pull. I had itches. The tools were right there. For a few weeks I was genuinely thinking about it.
I stopped. The tools were there. But I was reading the situation wrong.
Using an LLM is not the same as becoming a developer. That framing is too narrow, and it mostly benefits people who were already developers and can now move faster. For everyone else, the more interesting question is what you already do well, and whether this makes you better at it. The tool is general-purpose, and treating it like it belongs to one field is just a waste of what it actually is.
I am a strategist by training, an artist by practice, and still that same curious person who kept picking up new crafts. I spent a decade running a band that stayed independent through offers from Sony and Warner, because the business logic of staying independent was sounder than the flattery of a label deal. I spent years navigating music industry conferences and policy meetings in fifteen countries, building arguments for why Indonesian independent music deserved the same infrastructure as anywhere else. Then I moved into tech, into Trust & Safety, and eventually into AI work at Meta.
What AI actually freed me to do is stay in the work I am genuinely good at. Think, write, plan, run a content operation, design systems. The human sensibility runs through every layer — including the layers where I use AI to work faster or reach further. Pull it out and what remains is output without a point of view. That is the actual foundation.
The engineering instinct is still there. I design systems, automate what should be automated, build things that need building. But most of what I do is creative. The strategy behind it, the voice, the judgment about what is worth making — that is not something to hand off.
All of those years — the band, the music entrepreneurship, the conferences, the policy work, the move to California, the AI work from the inside — built a way of thinking that has nothing to do with any single industry. Transferable. Applicable to whatever the next form turns out to be. I have been formalizing it into something I can actually run on. It has a name. That is a different post.