Mike Walrath
Analyst · ROTH Capital Partners. Please go ahead
Yes. So as you know, I've been a little bit of a curmudgeon on this topic. And I think that's probably because I've been around too long and seen a few of these cycles before. And we get really excited and then we sort of entered this phase, which I think where we're living now, which is we're asking ourselves as an industry is this real beyond -- obviously, it's driving a ton of value for anyone producing hardware to support the AI infrastructure build-out, and it's driving a lot of workloads, but it's really, as I think has been broadly commented, it's not driving a lot of -- it's not -- certainly not driving the wave of bookings that I think we were hoping AI would drive. And so this reminds me of mobile and social and even the Internet in the late '90s when I was just kind of cutting my teeth, where it was happening right now and then -- then it wasn't happening right now, and then it took a long time, but it turns out when it did happen, it happened a lot bigger than even we could have expected. And so I draw on those experiences and what I see is, I see. I just don't think in a couple of years that we're going to two, three, four, five years, and it's hard to put a timeframe on it, that we're going to be talking about AI so much as we're going to be talking about the value that's being generated through the platform. And so foundational to that, we talk a lot inside Yext about your AI strategy is your data strategy. And so the more fragmentation that we see across the consumer experience, the more important it's going to be that you have a cohesive content and data strategy and that the applications that you're using to deliver that data to those consumer experiences, in particular, it has to be organized. It has to be authoritative, it has to be actionable. And when that happens, we expect this becomes an extraordinary tailwind. Now some of the risk factors, what I would call time-based risk factors are the compliance level for engaging through LLM and various other forms of AI with the consumer is going to be a very high bar, particularly inside large enterprises like financial services, institutions and health care. And so that is a -- the promise of the technology will -- and the ability of the technology will outrun the comfort level that large enterprises are going to have with using it. So now the flip side of that coin to try to give you a thorough answer to the question is, we're already seeing it benefit inside the platform. So when we talk about things like listings, recommendations like automated generated review response, we're beginning to see customers dip their toe in the water using these technologies in a very safe and very constrained way. And not everyone is a regulated industry. So hopefully, that doesn't sound too contradictory. This is going to take a while. When it happens, it will be bigger than people think. And the way we're going to deliver as an industry, the way we're going to deliver a lot of this AI innovation is through software platforms that have the right componentry around data, workflow, analytics, learning and things like that.