Why Agentic-First Startups Won't Disrupt Enterprises as Fast as Everyone Thinks | Kris Lovejoy

You know, Adjentic AI is a hot new thing. Every large enterprise in the world is trying to figure out how to use it. It's really easy to build really cool things. It's really hard to run them at scale securely, compliantly, resiliently, reliably. My prediction is that by about 2031, about half of all of the kind of the traditional IT systems administration tasks, the line one, line two tasks, they will be provided by AgenTic AI, and then humans will be in either in the loop or over the loop, if you will. So, Chris, it's great to finally talk. I know that this has been in the scheduling, scheduling mode for for months now. Yes. I usually start, by having you introduce yourself and give some of your background if it's relevant and what you're doing at Kyndryl. Sounds good. So I, my name is Chris Lovejoy. I am the global strategy leader for Kyndryl. Kyndryl is a company that is fairly new on the scene. We've been around for about four years now. We're actually a spin off from IBM. So about four years ago, IBM took, the organization that did a combination of strategic outsourcing and, IT integration projects, spun it out, and we became a publicly traded independent organization. And so today, we are really focused in three, I'd say, major areas. One is in IT modernization programs. So think about that as, you know, modernizing your legacy infrastructure data centers, whatever the case may be, moving those workloads to the cloud. Second area is in and around security and resiliency, which is kind of my domain or historic domain. And then the third is really specializing in data and AI, and bringing, you know, generative agentic, all all forms of AI to and, you know, enable customers, new ways of working, if you will. Yeah. And on, exactly on that point, you know, agentic AI is is, the hot new thing. I would I think it's safe to say every large enterprise in the world is trying to figure out how to use it. Yes. There have been many pilots over the last year, but very few systems have gone into production, at least, in a, in in in a way that's, of any scale that's significant. You know, we're coming out of the age of experimentation, and, you know, where we've all been dabbling in using AI and, you know, AgenTic AI in particular now. And we're seeing the benefits of the capabilities, you know, but not in production. We are finding it very costly. We're finding it somewhat insecure. We're finding it to be unreliable, and most importantly, it's not scalable. Oh, and if you're in Europe, you know, there are sovereign, concerns as well. So, you know, there are some things that are preventing us from going into what I'd call the age of industrialization around agentic AI. And so I think, you know, it's gonna be a little bit …