… AI to do a better job for our clients. That's our job. We fully expect it'll have huge efficiency in certain parts of the company. And, you know, we analyze it all the time. I think we've mentioned in the past we spend quite a bit of money on it. We have a lot of MPVs that we know we have. You know, the whole company's working on this at this point. And, you know, there are, I think there's almost 1,000 use cases today, though. I would say that the really important ones are 50 across risk, fraud, marketing, hedging, prospecting, note-taking, idea generation, document reading. and it's kind of just starting. So we do expect that. I think you have to put in the back of your mind that there are areas where we may just accelerate what we do that we want to get done anyway. Think of certain applications and customer facing things and stuff like that. We are preparing to make sure we can retrain our people and we have had discrete areas where we did reduce jobs by 30% or 40% and most of those people went for jobs elsewhere. We do expect that. I also think that over time, remember, this will be offered to smaller competitors, too, through Fiserv and FIS and other fintech companies. And over time, we've been doing this nonstop for 25 years with just large computers and mainframes and, you know, and You know, APIs and various tools and tricks we use have always been trying to create more efficient stuff like this. This will be faster. This will be dramatic. You know, the whole company's involved in it. We have our off-site in July. You know, you can imagine this is a big topic everywhere. You know, from front office to mid-office to back office to, you know, marketing to risk to you name the subject. And more to come, but we're kind of in the midst of this mini-revolution, and we'll report to you. But I do also want to point out, You know, maybe you could be ahead of other people, kind of, but what always happens is the benefit accrues to the customer, not to, you know, they're J.P. Morgan in this case. Because other people are doing the same thing and, you know, presumably leads to lower costs and lower error rates and a bunch of things. You can't just say, well, your ROE is going to go to 50% and stay there. You know, if we had a 50% ROE going to 10% a year, you'd probably have, in 50 or 60 years, you'd probably be 100% of the GDP of the United States of America.