The Gold Rush Problem & AI Tool Implementation Pitfalls
David Jayatillake discusses AI tool pitfalls, warning against poorly designed solutions and emphasizing AI's role as a crucial productivity enhancer.

Transcript
I think the the the weaknesses that I I'm concerned about actually are that so many people are selling a tool of some kind, and a lot of them are, like, poorly thought out, poor quality, and some of them are downright dangerous. I've been like I mean, AI implementation is is poorly thought through. It's more so it's a gold rush mentality of just getting in rather than Exactly. We're we're we're in right in the middle of a very, like, the maybe the final gold rush. Right? Okay. And, you know, people are people are just trying and throwing throwing stuff at the wall and seeing what sticks. And I'm worried that number one, teams will try the wrong tool and they'll get in trouble. They'll get their fingers burnt, and they're like, no. I just wanna use old stuff that I know works. And that may suit them, but it will also weaken them, going forward. Because the truth is that AI is unavoidable. Like, the in the two ways I described, it's going to be enhancing the way we work. It's a product nothing else. A productivity tool if you don't have a productivity tool where you're gonna get that efficiency, that competitiveness, and then a different place, it's hard to find a different area. But like all tools, you can apply it to the wrong problems, basically, or in the wrong way. Exactly. Yeah.