Why some people love AI and others don’t

In my circles, I’ve noticed a divide: generalists tend to be more inclined to explore and experiment, while specialists tend to be more skeptical—often focused on where the tools fall short.

For example, most of the experienced engineers I know are used to picking up new technologies in a very deliberate way: reading the docs, diving into the language, working through tutorials. They’re thoughtful and methodical—and usually not interested in engaging with something in a half-baked manner. When AI spits out buggy code in a language they’ve mastered, it’s not just frustrating—it feels amateur and they don’t want any part of it.

On the other hand, I’ve also seen folks who are newer to a field, or simply less technical overall, who just want to jump in and make things. For them, AI is a creative unlock. It allows them to accomplish in a short amount of time what used to take weeks or months—work they didn’t have the time, patience, or ambition to tackle before. They’re not chasing perfection—they’re chasing momentum. For them, AI unlocks capabilities they haven’t developed on their own. Whether the code is well-written or not doesn’t matter—they don’t know, and frankly, don’t care.

Daniel Raffel makes some good points that are worth reading!