00:40:30 · Jordan Nanos, Maya Barkin
[00:40:30] S1: Yeah. They're specialists. I mean, maybe the view there is training where I think a lot of people still feel like this is a fad that's gonna go away. We're gonna build some data centers, and then a few years from now, they're gonna tear them all down, we're gonna forget about that AI thing, as opposed to being this inevitable change where there's just gonna be more and more of this over time. Maya, what's your take on direct payments? Wasn't necessarily saying we should go out and pay everybody as a policy proposal, but the tax incentives going away thing seems like the most obvious next step where there's so much demand for data centers, the supply demand balance has changed, the local governments or the states don't need to provide tax incentives to people to get them to build there. And so that's probably gonna go away quickly. And that just means more money [00:41:19] S2: Yeah. For the I think it should just be a more comprehensive process that involves more transparency, no more NDAs, educating the community, explaining also that new data centers don't consume as much water, are not as environmentally aggressive, and also contributing to the local community, I think, can help. Not in the way of bribing and giving each person $10,000 but perhaps building a school, building roads. I think this is something that has been appreciated in the cases that we've seen where it's been done. [00:42:05] S1: Cool. Awesome. Okay. What have have we missed going through here? What are you guys watching today as the election plays out?
00:42:05 · Jordan Nanos, Wayne Ma, Maya Barkin
[00:42:05] S1: Cool. Awesome. Okay. What have have we missed going through here? What are you guys watching today as the election plays out? [00:42:13] S3: I guess Texas and Georgia for me. [00:42:15] S2: Yeah. Yeah. Same. Same. Texas is the biggest one, and Georgia is the one where it's really a toss-up, so it could go either way. Awesome. [00:42:25] S1: Thanks for the rundown, guys. Appreciate it. Good job with your article. Yeah. Talk to you again soon. [00:42:30] S3: Thanks so much, Thanks, [00:42:32] S2: Jordan.