09-25-26 Part One - A Data Center Near You

Red Eye Radio

The episode examines the rapid expansion of AI data centers and addresses common misconceptions regarding their energy and water consumption. The

Key takeaways

• Newer AI data centers are utilizing air or hybrid cooling methods to mitigate water usage concerns.
• Recent polling indicates 43% of Americans favor socialism, with 65% of Democrats expressing positive views.

Main topics

• AI Data Center Infrastructure
• Socialism and Political Ideology

Notable quotes

It's not the AI we're afraid of. It's whether we can keep terrorists out of these particular systems.

Conclusion

The episode serves as a warning against political and technological co

Transcript preview

Speaker 4 (0:06) Now, it's Red Eye Radio. Gary McNamara and Eric Hurley talk about everything from politics to social issues and news of the day. Whether you're up late or you're just starting your day, welcome to the show. From the Relief Factor Studios, this is Red Eye Radio. Speaker 6 (0:25) All across America. We are Red Eye Radio. He is Eric Hurley and I'm Gary McNamara. Welcome and good morning. Thanks so much for being here. Thank you. All right. All right, just something that I noticed here the last, well, I've actually noticed it the last year, year and a half or so near me. And I had mentioned it on the air one time, probably about four miles from where I live. And it's right outside the subdivisions. I saw this big building going up. And I looked at it. I said, what is this? Not a warehouse. And I went, hmm, is this an AI data center? And I just sat and thought, because it looked like Fort Knox. So I said, is this an AI data center? And there was never a name out front. And it looked like a very, very, very well-built building. I mean, just, you know, you looked at it, you know, wow, this is a government building? I go, bitch, it's an AI center. And that was just a guess. And I went by the other day and saw the name on it Speaker 5 (1:31) and Speaker 6 (1:31) looked it up and did research. It is an AI center. And I started looking, you know, it's a data center. So I started looking, you know, at the specifics of it. And I thought it was really interesting because they must have planned this five years ago. This must have been in the works for a while. And it's a data center. They're still not complete with it, but it's apparently been on since last year. It may not be at full capacity, but they're using it. They're still in the construction parking lot. There are still cars in there. Speaker 4 (2:10) All Speaker 6 (2:11) right. Where the construction workers go. But they have the name on it. And they said it was supposed to be, you know, start to be operational last year in 2025. And then through 2026, continue to, you know, increase its. operational percentage, I guess you would say, for it. So I started looking, you know, about all the things that people seem to care about, right? Number one was noise. I went by the other day when I saw it, and then I went by again afterwards when I looked it up and did research. I can't hear anything. Now, it may not be operational yet. I don't know. They said it was supposed to be. Speaker 5 (2:50) I Speaker 6 (2:50) didn't hear a thing. Speaker 5 (2:52) They Speaker 6 (2:52) also, and... publicly promoting they have their own substation there and ability to generate their own power. Speaker 5 (3:02) Yeah. Speaker 6 (3:02) Okay. And this is something that I saw the other day. And it's like, well, many of these places are air-cooled. And this particular, it's huge, this particular data center can use water, air, or hybrid for cooling. Yeah. All right. And the reason I bring it up. Speaker 6 (3:27) is because just two months ago, and for the last couple of years, that's all you heard. Water, water, water, water, water, water, water, water, water, water. And all of a sudden, you started seeing, you know, major conservative news organizations come out and say, no, there's a variety of way to do this. You can recirculate the water. And then in the last couple of weeks is when I started seeing the whole thing about air, that a lot of these can be air-cooled. Now, I don't know the specifics of how this is different from the data center that we talked about the other day that they're building in Ohio, the huge one. You know, I don't know if there's a difference or whether there is a particular size category or whatever that can be air-cooled. Speaker 5 (4:11) Yeah, a lot of them are going to be using geothermal cooling. which is something that's kind of, it's weird because this, you see some of these, I saw some on YouTube, these YouTubers going, you can cool your whole house this way. And it's basically a tube that you bury in your, you know, underneath the ground, and it brings cool air basically to your home. Now, the delivery of that for the entire home is a different story. But geothermal cooling has been around for a long time. And long term, if you're talking about that kind of operation, geothermal would be one of the first things I would look into. Speaker 5 (4:56) And as you mentioned, also having a hybrid, having different choices or different cooling systems or methods. That's going to be important going forward. And Speaker 6 (5:09) our point is there are challenges with any type of new technology. There's always challenges. Speaker 5 (5:14) Yeah. Speaker 6 (5:15) I know a few months ago, it just, you know, when I saw the headline, I went, that's a great point. It said. If we had this kind of instant panic, ignorant instant panic, not that there aren't challenges with AI, and not that there may not have to be some regulations, especially when it comes to securing information in there, which seemed to be one of the problems that they were talking about a couple of weeks ago. That was part of the discussion that was going on. It's not the AI we're afraid of. It's whether we can keep terrorists out. of these particular systems, you know, where there may be things that can help them. Speaker 5 (5:57) Right. Speaker 6 (5:58) And so, but it's the fact that we live in a society of instant panic. And by the way, a significant portion of the right was part of this panic. Speaker 5 (6:11) Yeah. And Speaker 6 (6:12) I Speaker 5 (6:12) don't Speaker 6 (6:12) know. You know, I look at it and go, I don't know. I don't see where the panic is yet. Nobody has explained to me, you know, what the specific panic is. And when they do. Speaker 6 (6:21) it falls apart. Because first it was the grid, and then it was, you know, boom, the, you know, the cooling system, which could only be cooled one way, and that's to take the valuable resource of water away from what we use each and every day. And you find out, well, those things are falling apart. Speaker 5 (6:41) They're Speaker 6 (6:41) not using it anymore. And we've seen this in climate change. Speaker 5 (6:45) We've seen this Speaker 6 (6:45) happen. And so the question would be, why are you doing it? Do we need to panic over something new every day? Because first it was water, and then it was, you know, first it was electricity, then it was water, then it was like all the jobs are going to go away. And we've said, all I want is specific answers to my question. Get the complicated lingo out of it. Explain to me in layperson's terms. Speaker 6 (7:20) you know, why all the jobs will go away when massive increases in technology and massive, you know, increases in productivity and efficiency. And I would like to see, I haven't seen a comparison precisely because you'd have to do it over a period of years versus maybe decades here. Excuse me. Speaker 6 (7:50) decades instead of 100 years when you look at the Industrial Revolution. And you probably look at the major changes in the Industrial Revolution, probably 75 years. Right. Probably could go from, and again, just a calculated guess, from the 1850s to probably once you got the 1850s, 1860s, until you got to probably 1940. Speaker 6 (8:20) You know, if you look at it, that would be the tail end of because we already had at that point, we already had mass production from Henry Ford. We already figured out that, you know, a particular thing. And we had electricity at that, you know, at that point, we learned to harness electricity and everything else. And you look at the major shift from agricultural to industrial, major shift. And there had to be a in order to go from. probably 95 to 98 percent of the workforce in farming to three percent. Speaker 6 (8:55) Two or three percent right now, you know, you did that because there had to be a major, incredible amount of productivity increases. And when they talk about now, you know, you and I have always wondered because it's always estimated, you know, what the increase in productivity would be in AI. And it's all over the place from what I've seen. Even people that I view as reputable say. maybe 10 to 20 percent over a period of a couple of decades it's huge yeah Speaker 5 (9:27) um my wife works for a major global corporation and they're implementing certain elements into things like payroll hr uh things, departments that essentially don't produce, right? They have other departments that do and, you know, sales and unlike radio sales, they actually produce and they, it's that type of implementation to assist. They're very cautious though about how much. And how fast, you know, with the story the other day of open AI, basically an open AI agent hacked into the Australian government. This is a great concern and should be a great concern when these programs are going rogue. Because my great concern is what happens when they're given just a little direction and then misinterpret or reinterpret that direction, that prompt from a human being. Those are the great concerns for me and how governments will use open AI. not just with other governments, but also their own people. Speaker 6 (10:52) I think it's important to differentiate between the discussion of AI and Speaker 5 (10:57) data Speaker 6 (10:58) centers, even though they are all under the same umbrella. Speaker 5 (11:03) But they are two different sets of concerns. Speaker 6 (11:06) Right, but we've lumped them in, not you, it looks like so many people have lumped them in together. and don't even know the difference. Well, that's what Speaker 5 (11:16) the left is trying to do with these data centers, really. And, you know, all right, there should be a concern about how much you draw from the grid and how much water you're going to use. Speaker 6 (11:26) Yes, absolutely. Speaker 5 (11:27) Solve that. Make sure that you are self-sufficient, and then we're good, which is Speaker 6 (11:34) basically what Texas said. Oh, and by the way, when I was talking about it, there is going to be job losses with data centers, AI, whatever. I mean, but, you know, they're combined together. There will be job losses just like there were when we went from farming to... you know, to an industrial revolution. When we went from bank tellers to ATMs. Now, remember, the smartest president ever said the reason for the job losses is because of ATMs. And that was Obama. Yeah. Well, my ATM Speaker 5 (12:05) isn't working. The all Speaker 6 (12:07) -knowing Obama. And what an idiotic comment that was. But he believes that the people that voted for him are idiots. Right. And there's a significant number of politicians out there today. believing the same thing and they go hey look at x they prove they're ignorant and idiots every day we can sell them whatever we want hey look at this 43 percent jonathan turley talking about i say 43 percent now the public uh think socialism is great yeah 43 percent well they're idiots they have no they have no concept of economics and and and uh what political systems and economic systems working together actually have been most successful you know, over, you know, the, you know, for the entirety of mankind. They Speaker 5 (12:52) have Speaker 6 (12:52) no concept. Right. Completely ignorant. And when we talk about, we talked about earlier this week, the three branches of government and then, you know, technology overall, that people are completely ignorant about where we were as to where we are now. Speaker 3 (13:04) Yeah. Speaker 6 (13:05) And, and so, you know, with the, I just thought it was interesting because I just did, and I'm going to do more research. It hasn't, I didn't have, you know, done like. hours and hours of research and probably was about 20 minutes yesterday when I said, okay, let me check out this place and see exactly what they're doing, you know, as a data center. But our point has always been, and the industry, you know. Probably justified to criticize. You need to explain this stuff to the people. Because once you explain it, Speaker 5 (13:35) you've Speaker 6 (13:36) seen the whole water thing has stopped. You know, the water and electricity thing. It's like, well, no, we've got solutions to that. And that's our point. You're not going to stop technology. If we don't do it in the States, somebody else is going to do it. You're not going to stop it. Right. We've never been able to stop it. And if you stop it, you become a third world country. Speaker 5 (13:59) Well, and there was a story the other day about Toyota workers are now being asked by management to train the humanoid robots. And, you know, the workers are like, well, wait a minute. We're not so sure we want to do this. Speaker 6 (14:15) But Speaker 5 (14:15) if you look at the advent of automation on the assembly line, whether it's cars or anything else, that's been there for a long, long time. I'm not so sure about the efficiency of humanoid robots. Someone else would have to describe. They would have to fully put that on display for me, you know, and tell me why it creates a greater efficiency ultimately. If you're talking about automation, you know, like it was said that, well, humanoid robots around the house, you know, like one to wash your dishes. We already have that. It's called a dishwasher. And so you already have, you know, certain things that are automated, certain jobs that are automated and roles that are automated. And I'm not so sure about the humanoid part of it. I think they're doing that for aesthetics. I don't know. But the point is, is that. jobs will change. Speaker 6 (15:14) Yes. The Speaker 5 (15:15) types of jobs that we're doing will change. I think it could be right now what's driving the change. There's a lot driving the change at universities, but I think especially with tech jobs, there's greater consideration for, well, I'm not going to learn to code because coding is being done by AI now. I wouldn't want to learn to code. Speaker 5 (15:41) I don't want to spend four years, and then during that four years while I'm getting trained and certified and getting all of my sheepskins in line and go out into the world, and that role is obsolete for a human. So I don't know to what extent that's going to happen. I don't know that anybody does. Speaker 6 (16:01) And so we've been asking that question whether it was Obama with the ATMs. You said, well, wait a minute. How come? in human history, every time we've had a massive increase in productivity and efficiency because of new technologies, that yes, there might have been massive job losses in those areas, but there were many more jobs that were created because of it. Why is this different? Answer that. And nobody's been forced to answer that question. It's simply, you either abide by something, which human history has shown is not true. And so you say, well, why is this the exception to the rule? And nobody can explain it. Speaker 5 (16:35) Right. Right. Speaker 6 (16:38) I say, well, explain it to me before I start panicking. Speaker 5 (16:41) Exactly. You know, what it takes to build a computer these days, right? You know, if those humans are being replaced and it's a more efficient process, could the price of computers and cell phones and devices come way down? You know, I don't know. I'm asking a question. We are Red Eye Radio. Brought to you by Hotshot Secrets. Speaker 1 (17:01) Hi, I'm Jen Loomis, a transport safety expert at J.J. Keller.