5 Human Factors that Make or Break AI Success

AI doesn't succeed just on tech. It needs people fully on board.

It's easy to think that 'digital natives' will adopt new AI tools easily. However, the reality is that training, communication and trust are just as critical, if not more so, for AI projects.

I've been helping a 'digital native' friend with their own AI 'journey'. At first, I was shocked at his resistance to AI. He instinctively didn't like it, felt that it would take away control and quality. Felt that it couldn't do what he could do.

He wasn't entirely wrong, it couldn't replace the knowlege he had, the experience, the understanding of nuance and subtletly that's inherent in most jobs.

So I spent time with him, going through:

👉 How to use it

👉 What it could replace and what it couldn't

👉 What and where the risks were

👉 Best use cases for their scenarios

And he loves it now and uses it all the time. BUT it took time for me with them to demonstrate the value.

And that's just one example, one person that I was able to give quality time to.

Imagine that on a far larger scale, with every potential user having the same doubts and fears.

AI tools aren't about people just learning some new tech, it's about trust, and security. 

It will always be the human factors that make or break success and it's not different for AI, just slightly scarier! 

So, nail the human side. It really matters.