Sure, so at this point, and remember, when we give you gen AI numbers, we're being very clear it's pure gen AI, so we're not like, you know, sort of talking about data and all of those things. So the real gen AI projects right now are still in that sort of million dollar-ish on average range. And we expect that's going to continue for a while, right? That’s what we're seeing because there's a lot of experimentation. Now what it's doing though is leading clients to look harder at, well, where do I go faster, right, in terms of the digital core? You know, and so we started seeing a tick up, for example, in data migration, right? But it is still extremely early, but that's how we think it's going to, you know, play out over even the coming year, right, as people get more excited about it and it also points out the challenges. But keep in mind that, you know, implementing gen AI is not like, it's like, it's not easy. Entire environments need to be set up. It's quite complex, actually. So it really plays into our strengths of being able to help them understand what it takes, where their gaps are, and then how to take the next step on the journey to get there, even as we see clients being cautious, they're really focused on help us save money, so we can take those next steps.