Scott Nolan

I think the good news is a lot of the AI builds that people are doing, the big data centers are looking for a gigawatt plus.

And so a big part of how they're planning to get that electricity is by bringing new production online, often behind the meter or plugged into the grid for some smoothing so that they don't have to have perfect uptime.

They can use other sources like natural gas.

But we're going to see a lot of new capacity come online to feed the identitators that they are bringing online and that could actually benefit the grid.

So if we do this right, a big data center builder will figure out production on their end and probably over design a little bit so there's margin and be able to feed back onto the grid.

So the rest of the through AI growth

through new nuclear that might happen at those sites, we should see rates actually come down over time and production go up.

And so it's the usual like innovation cycle where in theory, if we're just thinking about the world as a fixed sum, zero sum game, the pie is only so big.

Things get worse when you have more demand.

But in reality, as you develop new technologies to meet this demand, you're going to see things get better.

Yeah, so companies general matter.

What we're doing is enriching uranium to make nuclear fuel for these reactors.

The reason we're doing that is the US currently does not have a significant amount of uranium enrichment or fuel production.

So the US cannot currently produce its own nuclear fuel in any quantity beyond R&D quantities.

Are you serious?

So currently we get all of our, so there's five steps in making fuel.

You have to mine it out of the ground.

You then turn it into a gas for enrichment.

You then enrich it, which is just, it's essentially a refining process.

So enrichment is separating the element of uranium into, it's two, a couple of different types.