Why Implementing AI Is Easy—but Getting People to Use It Isn’t

AI enthusiasts often underestimate two things.

First, there's a huge information gap between what people think AI can do and what's actually reliable today, and that gap shifts every week. Even if AI is your job, it's easy to fall behind. So if it's not your core business, it's normal to be a few months late, and that's still enough to do impressive things.

The Adoption Challenge

Second, bringing AI into a company is rarely blocked by the tech. It's blocked by adoption. If you want colleagues or clients to use AI, don't sell "time saved." Make the benefit concrete for them:

• Does their job get easier?
• More interesting?
• Less stressful?
• Do they keep control?
• Are they part of the roadmap, or just subject to it?

AI can become frustrating very fast. If someone isn't an enthusiast, they'll drop it the moment the cost-benefit feels negative, or if they sense more scrutiny, more pressure, more confusion.

Start Small, Focus, Iterate

So start small. Pick one use case that is obvious and painful. Laser focus. Make the before/after undeniable. Build the feedback loop with the people who will use it. It won't work without iterations.

The tech will keep improving anyway. The hard part is getting humans to actually want it.

#Adoption #LLM