so i just stumbled upon this super interesting article about ai infrastructure projects, and i have to say, the results are pretty surprising. basically, it's saying that less than 30% of the time, these projects are actually worth the investment. like, who wouldn't want to streamline tasks and boost productivity, right? but apparently, it's not all sunshine and rainbows.



it turns out that about one in five of these projects actually end up failing, which is pretty wild. according to some research by gartner, this is mostly due to people having unrealistic expectations about what ai can do. i mean, think about it - we've all seen those sci-fi movies where ai is this magical solution to all our problems, but in reality, it's just not that simple. the research director, melanie freeze, said that a lot of these projects are just too ambitious or poorly planned, which makes sense, i guess.



i think part of the problem is that the term "ai" is just so broad. it can mean anything from enemy behavior in videogames to those large language models that are all the rage right now. so, when people hear "ai", they automatically think it's going to be this amazing solution that will fix all their problems, but it's just not that easy. gartner actually surveyed a bunch of io managers and found that 57% of them had at least one failed ai project under their belt. yikes.



apparently, the main issues that came up were with ai-led workflow management and auto-remediation of security threats. a lot of the managers also said that they just didn't have the right skills or data to make these projects work. it's kind of like trying to build a house without the right tools or materials - itRead more: Full article on www.pcgamer.com

What do you think about this?