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July 2025

What "AI Enthusiast" means to me

If you catch me at the right moment, I'll tell you I'm a little scared of where this is going. And in the next breath I'll tell you I'm all-in. Both are true, and learning to hold them together is most of what being an "AI enthusiast" actually means to me — which, for the record, is not the screenshot-reposting, everything-has-changed version of the phrase that gives it a bad name.

Start with the unease, because I don't want to skip it. Models get trained on other people's work without asking. Artists and creatives are getting squeezed in ways that genuinely bother me. The environmental cost is real and weirdly under-discussed. I care about all of that, and I'm not going to pretend the enthusiasm cancels it out.

And yet. I think this is Industrial Revolution, part two. I think it creates far more than it erases and reshapes what work even is. Most of all, I think it isn't going anywhere — there'll be price swings and corrections as the world sorts out what it'll pay, and I expect the best of it to keep getting pricier, but the tide is in. At that point, opting out feels like refusing to touch a calculator the year calculators arrived. You can grind it out by hand. You'll just be slower at the parts that no longer deserve your time.

So I got on early, and I started treating it like what it is: a tool you have to learn by using. Most of what I build now runs on AI. Claude Skills that turn a repeatable chore into a single sentence. MCP integrations that let an agent actually reach into my tools instead of just describing them. Claude Code workflows that get an idea to shipped before dinner. This site is one of those builds.

However, the real idea I can't stop turning over is this. Picture an organization where every person jumps from 1x output to 2x or 3x. Almost nobody is the slow part anymore. So where does the work pile up? My bet is it moves to the human chokepoints — executive sign-off, safe and controlled rollout, whether your customers can even absorb the new speed. The hard problem stops being "can we build it" and becomes "can we, as leaders and humans, change our own workflows fast enough to deserve these tools."

That's the part that actually excites me. Not the models. The fact that the leverage is sliding toward people who can describe what good looks like and then go find where the bottleneck ran off to. That's always been the PM's job. It's just everyone's job now — and I'd rather be early and fluent than skeptical and late.