Michelle McPhee

If you do, then let's solve for the bottleneck that exists rather than the bottleneck that is sexiest to talk about, which is data centers.

To me, that's make it easier and faster to build and site transformers and the guts of the infrastructure of the electrical grid.

That's on energy.

On housing, I have become really concerned.

by stories like the one that I read in the Wall Street Journal recently that suggests that certain parts of the country that were previously allocated for residential development, for building housing, are being bought up by data centers.

That, to me, gets a little bit close to taking land that was previously going to go to people and giving it to Silicon.

And that's where I do think there might be some tensions between AI, which I'm not wholeheartedly against, and abundance.

I would like to find ways to write local laws that make it more difficult for data centers to buy land that was previously allocated for or is in hot demand for necessary housing.

That's a place where I think AI in housing might be at cross purposes.

But again, I hope you hear in my answer something that's sort of like,

I hear that you want to ask one question, which is, how does AI fit with abundance?

I really want to focus on, what is abundance trying to do?

What are the outcomes that we're interested in?

We're interested in affordable and abundant housing.

We're interested in affordable and abundant and clean electricity for people so that they don't have to worry about energy costs.

I want to solve those problems directly rather than

get distracted by AI policy and try to answer the problems by going into the back door of artificial intelligence.

Yeah, I actually read, before I let Emily answer, I remember reading a Chinese analyst who was like, we don't care about data centers because we just have cheap power.

He's like, we don't care, dude.

He's like, we have cheap power everywhere.