An AI copilot is changing how data centers calculate total cost of ownership by moving beyond static figures like $120 million per megawatt. Instead of fixed quotes, it analyzes historical data and future projections, refining estimates through iteration to generate dynamic, project-specific intelligence for finance and engineering teams.
Basically, what we are saying is that we know that normally we will say that for the TCO, it's $120 million per example megawatt of data center. But now we want to exactly is the value it brings over a time series or over certain specific projects, right? So I think that's even more complicated. So it's not just my brains or finance is involved. We actually use that copilot. We put in the algorithms and it's actually churning out by trial and error what are the right estimates, because it's a lot of using historical as well as future tense. Yeah. So it's a game changer, right? So to speak. So we are not making the copilot do the so-called simple mundane work, but we are trying to test the copilot to come up with new intelligence. Yeah.
