Why 95% of AI initiatives fail, and how to succeed | CXAI posted on the topic

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Introducing Workplace Unscripted - a new podcast from CXAI exploring how technology, people, and purpose come together to shape the future of work. In this episode, our CEO, Khurram Sheikh and James Waddell, Chief Research and Innovation Officer at Cognitive Corp , tackle a big question: Why have 95% of enterprise AI initiatives failed, and what can leaders do about it? From strategy to empathy, they break down what it really takes to turn AI ambition into meaningful impact. See how CXAI helps enterprises put AI into action, where Agentic AI powers more human, connected workplaces. Discover more: https://lnkd.in/gzqJEn-W #AI #FutureofWork #WorkplaceExperience #worktech #workplacetech

Transcript

There was an MIT study saying 95% of enterprise AI's have failed. Well that's a good sign. You know what? And I've been involved in lots of new technology over my career, from the first, you know, 4G phone to the first Wi-Fi access points to the, to the 5G networks and IoT. And then with software and cloud. I see that transformation happening all the time, right? It's always a process of learning and understanding. But the one thing that's common is the people who don't accept it or adopted are left behind, right? If you do not, you hide behind it or say, well, it's. Gonna take a long time. Then you are going to be the one who's gonna take a long time, right? It you have to be fearless. You have to go head into it and really feel like I wanna go try it. And I think the good news is with the AI, I see a lot of companies now at least experimenting and trying and doing their best. There was an MIT study saying 95% of enterprise AI's have failed. Well, that's a good sign. You know what? Because you only learn when you fail. If everything was successful, we'd be happy. Like oh God, this is so great. We would not understand the gargles, would not understand the issues. Yeah, some so much there to to unpack, right. You mentioned and it's a good statistic, I think 90 to 95% of the AI pilots failed. We were also looking into that and trying to figure out why is that such a high failing to read. And then and then we're still working through this thesis. But here's the thesis. Here's what we think. We think that most of them, if not all of them, you can't say all right. But most of them were led by IT in the way IT traditionally does things is they approach it. As software, they do like an issue to the company and they go, hey, here's some good functionality, go use it. Yep, that's not human wet, that's not human centric. That's just here's some software, go use it. And they have poor adoption anyway when they try that. But with this new thing, you know, this AI thing, it's not really software. So I think that's why there was such a high failure rate in that the people. Receive this new software tool from IT and with when we're supposed to do with this and I'm already going that why would I use this to do that? That doesn't make sense. And if you look at it differently, if you approach it differently. And it's all about the strategic and tip. But they, I, if you talk to your teenagers and you find out what are the really repetitive things that you do that if you didn't have to do, your life would be so much better. Or even better, question those things in your job. If you absolutely have to do that, you just don't like doing. We all have. What if you didn't have to do that anymore? Why don't you just outsource that to someone or something? Wouldn't that be better? And still we're still doing your job. We still have the process of doing something and they're still an output that you get paid for. But now you have this. Thing that helps you, this person, this on biological whatever is this being you, they're not going to do the thing that you do 100%. We're going to do it maybe 80 or 90%. Some portion of it. I think if we approached it that way is just from a species and AI though, I think the adoption rate would be much higher.

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