Lately it feels like every time I blink, there’s a new AI model, tool, or product announcement. It’s wild. The tech is moving so fast that even just reading the headlines feels like a full-time job. And that’s before you even get to trying anything out.

I catch myself wondering: should I be spending all my energy chasing every new thing? Or should I just keep my head down, do the work in front of me, and risk missing out on something big? Honestly, neither feels that great. One path is exhausting, the other feels a little scary.

But then I remember—this is what always happens with new technology. There’s a season where everything moves at lightning speed, people experiment like crazy, and half the tools become obsolete before you even learn how to use them. It’s fun, but also kind of wasteful. If you’re an early adopter, you just have to accept that most of your “learning” won’t stick. It’s more about the ride than the result.

And if you’re not in that season? That’s okay too. If your workflow is stable, if AI doesn’t bring clear benefits for your day-to-day yet, you’re not falling behind. You can always catch up later, once things settle down. The big ideas won’t disappear—they’ll just get simpler, more reliable, more ready for everyone.

So maybe it’s not really about being early or late to the party. It’s about knowing what you need right now, and staying focused on that. For me, that feels like the more sustainable path: less FOMO, more energy for the things that matter.

I guess the real question I’m still asking myself is: how much exploring is enough to stay curious without losing focus?