Ari Bousbib
Analyst · Morgan Stanley
Okay. The three questions are totally independent. So first on pricing. Look, there's no change in pricing here. There continues to be pressure from clients, and price negotiations are always tough. We mentioned before that we're having maybe more pressure than we had before on pricing from large pharma clients as they're working on their savings initiatives, but it's not that different than history, maybe a little more than usual.
But I think nothing -- with respect to competitors, I can't speak to what they do, I just have no idea, I don't want to know. But look, comes to reason that smaller competitors which have failed largely and have led to them being acquired, are struggling to book business and as a result, could put pressure on pricing. But nothing there that I can signal that's unusual versus what we spoke about in the past.
Your second question was on cancellation. We spoke before, we address that. No, look, it's a very large cancellation. And yes, it has an impact on revenues over the next few years, including in this year. But we said earlier that we are a large company, and we are absorbing it in our guidance. It's fine.
So yes, if you will, it would have been better if we hadn't -- if the program hasn't canceled. But it's okay, we're not changing the guidance for that. Our only guidance adjustment, again, is 100% related to foreign currency.
With respect to your third question on AI, look, AI has -- not saying anything shocking here, AI has a massive amount of opportunity, in general, and I would say, perhaps more limited than people think in health care because data, the ingredients, if you will, are not readily available publicly.
You can search for medical literature for diagnostics, you could look for jurisprudence for legal opinions. But frankly, to identify patients that are best suited for trials, sites that need to be identified for maximum effectiveness and fastest enrollment, that's really, really tough to get information. And if you ask those questions to a chatbot, you are not going to get the answers.
However, once you are within our environment, then that's a lot more possible. And so if you think about it, the entire premise of what we set out to do when we merged Quintiles and IMS 8 years ago, was precisely to leverage massive amounts of data and analytics and technology to accelerate clinical development timelines, particularly applicable to oncology, rare disease and difficult-to-enroll patients.
With the [ advance ] of AI, that set of initiatives becomes even easier. And we've been at it for a while, this is not new to us. But some of the new tools, as you can imagine, are put to good use within our environment, and some of the wins we've had are the direct results of those capabilities.