1 00:00:01,160 --> 00:00:03,200 Speaker 1: Clay Travis with the Clay and Buck Show, wishing you 2 00:00:03,279 --> 00:00:06,560 Speaker 1: and your family of very mary Christmas and a happy 3 00:00:06,600 --> 00:00:07,000 Speaker 1: New Year. 4 00:00:07,360 --> 00:00:10,280 Speaker 2: Buck Sexton here the entire Clay and Bucks Show wish 5 00:00:10,320 --> 00:00:12,960 Speaker 2: you and your family a warm Christmas season and a 6 00:00:13,080 --> 00:00:13,960 Speaker 2: joyful New Year. 7 00:00:15,800 --> 00:00:18,960 Speaker 3: Thank you for listening. This is the best of with 8 00:00:19,079 --> 00:00:22,760 Speaker 3: Clay Travis and Buck Sexton. Welcome back in Clay Travis 9 00:00:22,800 --> 00:00:26,160 Speaker 3: Buck Sexton Show. Okay, we just had the call Christy. 10 00:00:26,360 --> 00:00:30,280 Speaker 3: Was it Christy who called in from Utah? She was 11 00:00:30,320 --> 00:00:33,000 Speaker 3: talking about the job market she works in HR and 12 00:00:33,040 --> 00:00:35,920 Speaker 3: the challenges that she is seeing. I'm sure that many 13 00:00:35,960 --> 00:00:38,400 Speaker 3: of you who are looking for jobs have seen the 14 00:00:38,400 --> 00:00:40,360 Speaker 3: same thing. Here's what I think is going on, Buck, 15 00:00:40,400 --> 00:00:43,160 Speaker 3: and you can sign on or not sign on to this. 16 00:00:44,040 --> 00:00:45,400 Speaker 3: I think that AI. 17 00:00:46,760 --> 00:00:54,440 Speaker 1: Is going to be incredibly transformative for many different companies 18 00:00:54,480 --> 00:00:58,160 Speaker 1: out there. And I actually think that some of the 19 00:00:58,280 --> 00:01:03,240 Speaker 1: jobs that are being pushed aside right now are actually 20 00:01:03,360 --> 00:01:07,120 Speaker 1: more white collar than blue collar in nature. And so 21 00:01:07,480 --> 00:01:09,839 Speaker 1: there are certain jobs. Let's say you're a plumber right now, 22 00:01:10,360 --> 00:01:12,960 Speaker 1: I don't think there's AI plumbing that is taking away 23 00:01:13,000 --> 00:01:15,320 Speaker 1: your job. I don't think that if you're a roofer 24 00:01:15,360 --> 00:01:18,880 Speaker 1: there's AI roofing that is changing what you're doing, truck driving, 25 00:01:18,959 --> 00:01:22,040 Speaker 1: so far, all those things quote unquote blue collar jobs, 26 00:01:22,120 --> 00:01:25,080 Speaker 1: working with your hands in some sort of factory. I 27 00:01:25,120 --> 00:01:28,360 Speaker 1: think there are a lot of thought related so called 28 00:01:28,480 --> 00:01:31,560 Speaker 1: white collar jobs. Then a lot of companies are just 29 00:01:31,680 --> 00:01:36,039 Speaker 1: not filling right now because they don't know necessarily how 30 00:01:36,120 --> 00:01:39,280 Speaker 1: quickly AI is going to advance and eliminate a lot 31 00:01:39,360 --> 00:01:41,679 Speaker 1: of these jobs. And so I think there's a bit 32 00:01:41,720 --> 00:01:44,840 Speaker 1: of an inversion in the job market where there are 33 00:01:45,400 --> 00:01:47,960 Speaker 1: a lot of people who felt very confident, Hey, I'm 34 00:01:48,000 --> 00:01:50,160 Speaker 1: always going to have a job, and I talk about 35 00:01:50,160 --> 00:01:51,520 Speaker 1: this with my boys even now. 36 00:01:52,440 --> 00:01:52,640 Speaker 4: Buck. 37 00:01:52,760 --> 00:01:54,880 Speaker 1: I think a lot of lawyers are going to be 38 00:01:54,920 --> 00:01:57,160 Speaker 1: losing their jobs in the years ahead, because when I 39 00:01:57,240 --> 00:02:01,080 Speaker 1: graduated law school, you had twenty five year old lawyers 40 00:02:01,240 --> 00:02:03,480 Speaker 1: who would sit in front of a computer screen and 41 00:02:03,560 --> 00:02:07,200 Speaker 1: would be looking through documents and flagging the relevant documents 42 00:02:07,200 --> 00:02:09,920 Speaker 1: and all these things, billing hundreds of dollars. That's going 43 00:02:10,000 --> 00:02:12,160 Speaker 1: to become automated. I think a lot of these consulting 44 00:02:12,280 --> 00:02:15,120 Speaker 1: jobs that people got, a lot of these investment banking jobs. 45 00:02:15,760 --> 00:02:17,639 Speaker 4: They if you remember the super. 46 00:02:17,360 --> 00:02:23,200 Speaker 2: Skilled, if you remember share in the timeless classic clueless 47 00:02:24,000 --> 00:02:27,960 Speaker 2: gets into trouble with the mean associate lawyer because she 48 00:02:28,400 --> 00:02:32,120 Speaker 2: highlights the June ninth calls or whatever, and she's supposed 49 00:02:32,120 --> 00:02:34,840 Speaker 2: to highlight the June fifth calls. But in the nineties 50 00:02:35,639 --> 00:02:37,799 Speaker 2: you had lawyers who were making hundreds and hundreds of 51 00:02:37,800 --> 00:02:41,359 Speaker 2: dollars an hour doing stuff like that, going through phone records. 52 00:02:41,440 --> 00:02:44,320 Speaker 2: Not even just the nineties, I mean until recently. The 53 00:02:44,919 --> 00:02:47,560 Speaker 2: once you start to use AI as a tool, and 54 00:02:47,600 --> 00:02:49,360 Speaker 2: I would recommend that all of you do so for 55 00:02:49,440 --> 00:02:50,079 Speaker 2: your own lives. 56 00:02:50,080 --> 00:02:50,720 Speaker 4: As a tool. 57 00:02:50,880 --> 00:02:53,040 Speaker 2: Look, I'll tell you, and it tells you don't do this, 58 00:02:53,200 --> 00:02:55,160 Speaker 2: or rather say don't do this. It says, don't rely 59 00:02:55,240 --> 00:02:57,920 Speaker 2: on this. I've uploaded my blood work to GROC. 60 00:02:58,680 --> 00:03:00,400 Speaker 4: To try to get ideas for health. 61 00:03:00,560 --> 00:03:05,160 Speaker 2: Uh like, because because the doctor, you know, the doctor, 62 00:03:05,320 --> 00:03:06,840 Speaker 2: as you all know, you go in there for the 63 00:03:06,840 --> 00:03:08,680 Speaker 2: most part, you get, you get your five minutes with 64 00:03:08,680 --> 00:03:11,360 Speaker 2: the doctor. Here's the big problem. Here's this whatever. I'm like, well, 65 00:03:11,400 --> 00:03:13,560 Speaker 2: what about this? What about that? I'm always a person 66 00:03:13,639 --> 00:03:16,920 Speaker 2: who I have more questions than the doctor wants to answer. 67 00:03:17,919 --> 00:03:19,520 Speaker 2: I can sit there and ask. Now, GROC will tell 68 00:03:19,520 --> 00:03:21,960 Speaker 2: you it's not a doctor. Same thing with Gemini and 69 00:03:22,000 --> 00:03:24,880 Speaker 2: these other you know, uh carat EPT and so you 70 00:03:24,880 --> 00:03:27,400 Speaker 2: should always consult with your doctor. But if you're just 71 00:03:27,440 --> 00:03:31,480 Speaker 2: you know, so there's that disclaimer. But it is amazing 72 00:03:31,639 --> 00:03:35,000 Speaker 2: the detailed information, factoral information you can get on these things. 73 00:03:35,680 --> 00:03:38,240 Speaker 2: But you remember that scene from Clueless, right, Oh yeah, 74 00:03:38,240 --> 00:03:39,920 Speaker 2: it's a great movie, and he's like he's like, you 75 00:03:39,920 --> 00:03:42,560 Speaker 2: do what you want with your butts, I'm calling in sick. 76 00:03:42,920 --> 00:03:46,080 Speaker 2: And then she's like so sad, and then she gets 77 00:03:46,160 --> 00:03:49,720 Speaker 2: romantic with her stepbrother, which I feel like everyone is 78 00:03:49,760 --> 00:03:52,400 Speaker 2: just a little too okay with in that movie. Remember 79 00:03:52,440 --> 00:03:57,360 Speaker 2: that play. Yeah, Josh is the step brother and they're 80 00:03:57,400 --> 00:03:59,040 Speaker 2: playing smoochy smooch, but it's like. 81 00:03:59,000 --> 00:04:00,920 Speaker 4: That's your stepbrother. I think think that's weird. 82 00:04:01,240 --> 00:04:04,560 Speaker 1: Do you think that Paul Rudd is maybe one of 83 00:04:04,600 --> 00:04:07,760 Speaker 1: the people who has least aged in the last thirty 84 00:04:07,760 --> 00:04:09,720 Speaker 1: five years. I mean, I don't know what he does, 85 00:04:10,240 --> 00:04:13,240 Speaker 1: but if you look at him in basically his entire 86 00:04:13,320 --> 00:04:16,280 Speaker 1: acting career, he doesn't look very different now than he 87 00:04:16,320 --> 00:04:18,839 Speaker 1: did all the way back. He's basically looked thirty for 88 00:04:18,920 --> 00:04:20,400 Speaker 1: about thirty five years. 89 00:04:21,240 --> 00:04:24,080 Speaker 2: That sounds about right, probably, Yeah, Yeah, he's not que 90 00:04:24,160 --> 00:04:27,600 Speaker 2: at Tom Cruise level where you're like, what what alien 91 00:04:27,720 --> 00:04:31,400 Speaker 2: science experiments are being run to make him still look 92 00:04:31,880 --> 00:04:34,040 Speaker 2: like he should be running around doing fly kicks when 93 00:04:34,040 --> 00:04:35,400 Speaker 2: the guy's like my dad's age. 94 00:04:35,400 --> 00:04:36,479 Speaker 4: But yeah, sure right. 95 00:04:37,120 --> 00:04:39,520 Speaker 1: What let me ask you this though, do you sign 96 00:04:39,560 --> 00:04:43,680 Speaker 1: on to my idea that AI initially is having more 97 00:04:43,800 --> 00:04:47,320 Speaker 1: of an upper middle class job impact than it is 98 00:04:47,720 --> 00:04:50,000 Speaker 1: lower You know, when I say class, I mean like 99 00:04:50,040 --> 00:04:53,880 Speaker 1: what your salary is. It's an enormous white collar. It's 100 00:04:53,880 --> 00:05:00,320 Speaker 1: an enormous efficiency tool for bureaucratic and paper shuffling kind 101 00:05:00,360 --> 00:05:03,159 Speaker 1: of work. And so there are a lot of people 102 00:05:03,760 --> 00:05:06,960 Speaker 1: who work on who have jobs where that is their job. 103 00:05:08,080 --> 00:05:11,440 Speaker 2: What is the job really entail? It entails doing, you know, 104 00:05:11,640 --> 00:05:17,040 Speaker 2: doing research for things, going through things, finding things. Well, 105 00:05:17,080 --> 00:05:20,520 Speaker 2: now you can upload a you know, you can upload 106 00:05:20,520 --> 00:05:22,719 Speaker 2: one hundred thousand pages if you want to into some 107 00:05:22,760 --> 00:05:25,480 Speaker 2: of these AI programs, and it will give you every 108 00:05:25,520 --> 00:05:30,320 Speaker 2: citation or every every statistical example of whatever you're looking for, 109 00:05:31,080 --> 00:05:33,360 Speaker 2: and it can do it in a couple of minutes. 110 00:05:33,920 --> 00:05:36,400 Speaker 2: So you think about the time savings. We actually talked 111 00:05:36,400 --> 00:05:38,520 Speaker 2: to doctor Marty McCay about this and what's going on 112 00:05:38,560 --> 00:05:44,279 Speaker 2: with the FDA. Yeah, for massive medical trials, you know, 113 00:05:44,279 --> 00:05:44,839 Speaker 2: which they. 114 00:05:44,680 --> 00:05:45,360 Speaker 4: Do these big. 115 00:05:45,440 --> 00:05:49,160 Speaker 2: You know, ten year, fifteen thousand person data sets and 116 00:05:49,200 --> 00:05:51,280 Speaker 2: all this this is going to make that Now that's 117 00:05:51,320 --> 00:05:53,720 Speaker 2: just a I think that's nothing but upside. But to 118 00:05:53,760 --> 00:05:56,159 Speaker 2: your point about some of these jobs, and here's we 119 00:05:56,240 --> 00:05:58,560 Speaker 2: had an HR a lady from HR calling before, right, 120 00:05:59,240 --> 00:06:00,760 Speaker 2: just saying that out loud, I feel like I'm about 121 00:06:00,760 --> 00:06:02,600 Speaker 2: to get in trouble for something. Yeah, right, we're gonna 122 00:06:02,600 --> 00:06:05,240 Speaker 2: get HR lady call for So is it just gonna 123 00:06:05,240 --> 00:06:07,120 Speaker 2: be honest? Clay and I have existed in the world 124 00:06:07,480 --> 00:06:09,400 Speaker 2: where you never want to hear from the HR lady. 125 00:06:09,440 --> 00:06:13,720 Speaker 2: I'm just gonna it's like, you know, especially if it's 126 00:06:13,720 --> 00:06:15,320 Speaker 2: a lady, I don't know, You're just gonna get where 127 00:06:15,360 --> 00:06:17,479 Speaker 2: It just means that we said something might have been 128 00:06:17,520 --> 00:06:18,479 Speaker 2: a joke that was made. 129 00:06:19,120 --> 00:06:22,360 Speaker 1: Does anyone get excited when the phone rings and they're like, hey, 130 00:06:22,400 --> 00:06:25,640 Speaker 1: it's HR. You're like, oh no, Like there's nobody out 131 00:06:25,680 --> 00:06:27,760 Speaker 1: there listening to us right now. That's like I've been 132 00:06:27,800 --> 00:06:29,360 Speaker 1: waiting for this call. Thank the Lord. 133 00:06:29,520 --> 00:06:31,159 Speaker 2: I'm so so a little bit like when I get 134 00:06:31,240 --> 00:06:35,000 Speaker 2: my when I get a letter that says Internal Revenue 135 00:06:35,040 --> 00:06:37,880 Speaker 2: Service on it, I'm never like, oh sweet, I want 136 00:06:37,920 --> 00:06:41,680 Speaker 2: to open this one. So now I understand HR people 137 00:06:41,720 --> 00:06:44,240 Speaker 2: are probably all very annoyed with us right now and 138 00:06:44,279 --> 00:06:46,680 Speaker 2: would not hire us, But they would say, what about 139 00:06:46,680 --> 00:06:48,960 Speaker 2: when I have the amazing news of giving somebody their 140 00:06:49,000 --> 00:06:49,560 Speaker 2: dream job? 141 00:06:49,760 --> 00:06:50,960 Speaker 4: And of course that is a. 142 00:06:51,560 --> 00:06:53,920 Speaker 2: This was like what Clay the one the one season 143 00:06:53,920 --> 00:06:57,760 Speaker 2: of high school soccer I coached. The greatest thing was 144 00:06:57,800 --> 00:06:59,960 Speaker 2: the joy on the faces of the kids who want 145 00:07:00,120 --> 00:07:02,920 Speaker 2: to make the team so bad and were marginal who 146 00:07:02,960 --> 00:07:04,440 Speaker 2: made it that there we had. I had a couple 147 00:07:04,440 --> 00:07:07,200 Speaker 2: of like stuperstars who were gonna go play in college, 148 00:07:07,200 --> 00:07:08,840 Speaker 2: but I had two or three. I was like, well, 149 00:07:08,839 --> 00:07:10,800 Speaker 2: these kids are you know, they're they're like better than 150 00:07:10,840 --> 00:07:13,400 Speaker 2: I ever was, and they're freshmen. And then you know, 151 00:07:13,400 --> 00:07:15,640 Speaker 2: there were kids that were marginal. That was the greatest thing. 152 00:07:16,360 --> 00:07:18,240 Speaker 2: The worst thing was the kids who teared up when 153 00:07:18,240 --> 00:07:19,880 Speaker 2: they were close and didn't make it, and I had 154 00:07:19,920 --> 00:07:21,440 Speaker 2: to tell them, you know what I mean? That's the 155 00:07:21,760 --> 00:07:24,320 Speaker 2: so HR cuts both ways, right, because yeah, on the 156 00:07:24,360 --> 00:07:26,120 Speaker 2: one side you get to tell people dream job. The 157 00:07:26,160 --> 00:07:28,400 Speaker 2: other side it's I know, this would have been a 158 00:07:28,440 --> 00:07:31,280 Speaker 2: life changing salary increase for you, but we anyway. So 159 00:07:32,080 --> 00:07:34,480 Speaker 2: I think though in HR, and particularly you're seeing Ai 160 00:07:34,760 --> 00:07:38,960 Speaker 2: is because it's large data sets, it's efficiency based, and 161 00:07:39,080 --> 00:07:41,240 Speaker 2: their AI is doing the job of a lot of 162 00:07:41,360 --> 00:07:43,400 Speaker 2: HR people right now. And that is our that is 163 00:07:43,560 --> 00:07:46,160 Speaker 2: written about. That is clear, that is happening. So what 164 00:07:46,280 --> 00:07:48,160 Speaker 2: is HR really going to be doing because it's just 165 00:07:48,240 --> 00:07:50,400 Speaker 2: gonna you're gonna set your parameters. I need X amount 166 00:07:50,400 --> 00:07:52,960 Speaker 2: of years of experience, I need, you know, I'm gonna 167 00:07:52,960 --> 00:07:56,480 Speaker 2: look prioritize the following schools, et cetera, et cetera. You 168 00:07:56,480 --> 00:07:58,800 Speaker 2: can have somebody do this now with ten thousand resumes 169 00:07:58,960 --> 00:08:01,440 Speaker 2: and give you your top ten resumes in five minutes, 170 00:08:01,480 --> 00:08:02,040 Speaker 2: three minutes. 171 00:08:03,400 --> 00:08:04,840 Speaker 4: I think that's one hundred percent right. 172 00:08:04,920 --> 00:08:07,840 Speaker 1: I also think there's just a lot of pause on 173 00:08:08,000 --> 00:08:11,440 Speaker 1: hiring on those jobs because companies are saying, wait a minute, 174 00:08:11,840 --> 00:08:14,480 Speaker 1: maybe we don't fill that opening that we have. 175 00:08:14,680 --> 00:08:15,800 Speaker 4: Look, and here is. 176 00:08:15,800 --> 00:08:21,160 Speaker 1: The Elon has come out recently and said, hey, we're 177 00:08:21,280 --> 00:08:23,680 Speaker 1: rapidly advancing to a world I think he said the 178 00:08:23,720 --> 00:08:26,920 Speaker 1: other day where having a job will be like growing 179 00:08:26,960 --> 00:08:30,760 Speaker 1: your own produce. People can choose to do it, but 180 00:08:31,160 --> 00:08:33,079 Speaker 1: it's not going to be the standard. 181 00:08:33,120 --> 00:08:33,280 Speaker 4: Now. 182 00:08:33,320 --> 00:08:36,360 Speaker 1: These are people who believe that AI is truly over 183 00:08:36,400 --> 00:08:39,439 Speaker 1: the next ten to fifteen years going to be transformative 184 00:08:39,440 --> 00:08:42,959 Speaker 1: in a way that frankly most of us can't even comprehend, 185 00:08:43,400 --> 00:08:45,960 Speaker 1: and that we're going to basically have to figure out 186 00:08:45,960 --> 00:08:50,679 Speaker 1: a way to reorient society without working being a huge 187 00:08:50,720 --> 00:08:51,120 Speaker 1: part of it. 188 00:08:51,679 --> 00:08:56,560 Speaker 2: This is where I'm reminded of Neval, who I've mentioned 189 00:08:56,600 --> 00:08:59,560 Speaker 2: several times before on the show Silicon Valley Guy, founder 190 00:08:59,559 --> 00:09:01,600 Speaker 2: of Angel List. It's been on a lot of the 191 00:09:01,600 --> 00:09:04,920 Speaker 2: big podcasts, and I just think is a very interesting 192 00:09:04,960 --> 00:09:09,319 Speaker 2: and sound thinker on things like this in particular, and 193 00:09:09,360 --> 00:09:13,280 Speaker 2: he breaks this down Clay into wealth versus status in 194 00:09:13,400 --> 00:09:16,880 Speaker 2: society and wealth and I think you very much take 195 00:09:16,920 --> 00:09:19,360 Speaker 2: this approach in general, like this is a part of 196 00:09:19,360 --> 00:09:21,199 Speaker 2: your We talked to this at WO WO and they're 197 00:09:21,200 --> 00:09:22,679 Speaker 2: asking what do you know about Claire, what do you 198 00:09:22,679 --> 00:09:25,560 Speaker 2: know about Buck? I think you believe that there are 199 00:09:25,600 --> 00:09:28,079 Speaker 2: ways that everybody can win and everybody can be doing better. 200 00:09:28,480 --> 00:09:31,640 Speaker 2: And that's true about wealth and anybody who denies that. 201 00:09:32,400 --> 00:09:36,000 Speaker 2: All of you right now, who are driving around in 202 00:09:36,080 --> 00:09:40,840 Speaker 2: your car with your you know, your Venti Starbucks hopefully 203 00:09:40,840 --> 00:09:45,720 Speaker 2: your Crockett Coffee actually, but in your heated seats, with 204 00:09:45,800 --> 00:09:49,720 Speaker 2: your airbags, on your iPhone, everything else you are living 205 00:09:49,800 --> 00:09:54,800 Speaker 2: in a space age, unimaginable future of wealth compared to 206 00:09:54,920 --> 00:09:58,680 Speaker 2: what King Henry the Eighth, like the actual king would 207 00:09:58,679 --> 00:09:59,000 Speaker 2: have had. 208 00:09:59,080 --> 00:10:01,320 Speaker 4: Right, your health cars, that. 209 00:10:01,400 --> 00:10:04,800 Speaker 1: Live better now than the wealthiest people did two hundred 210 00:10:04,880 --> 00:10:05,240 Speaker 1: years ago. 211 00:10:05,280 --> 00:10:08,200 Speaker 2: Yes, basically, your healthcare is better, your food is better, 212 00:10:08,320 --> 00:10:10,040 Speaker 2: your your comfort is better. 213 00:10:10,080 --> 00:10:11,600 Speaker 4: Your bed got to get. 214 00:10:11,480 --> 00:10:14,199 Speaker 2: Those sheets from you know what I'm talking about, Cozy Earth. 215 00:10:15,760 --> 00:10:18,880 Speaker 4: Henry. You know he was robust. He didn't have cozy 216 00:10:18,960 --> 00:10:20,760 Speaker 4: Earth sheets. You got. 217 00:10:20,920 --> 00:10:24,480 Speaker 2: You have incredible wealth. Status is I'm in a better 218 00:10:24,480 --> 00:10:27,480 Speaker 2: place than you. Status is how do I stack up 219 00:10:27,480 --> 00:10:28,480 Speaker 2: to him or her? 220 00:10:28,600 --> 00:10:28,760 Speaker 4: Right? 221 00:10:28,840 --> 00:10:31,320 Speaker 2: Status is a different thing, And he says that people 222 00:10:31,320 --> 00:10:33,640 Speaker 2: should always separate those in their minds. And when you're 223 00:10:33,679 --> 00:10:37,480 Speaker 2: talking about AI, you're talking about what should be able 224 00:10:37,520 --> 00:10:43,600 Speaker 2: to be widely distributed increases on of of societal and 225 00:10:43,640 --> 00:10:47,120 Speaker 2: global wealth along the lines of what we're talking about, 226 00:10:47,120 --> 00:10:50,040 Speaker 2: which is everybody has more. But it might get to 227 00:10:50,040 --> 00:10:52,760 Speaker 2: the point where everybody has so much more that people 228 00:10:52,800 --> 00:10:56,680 Speaker 2: start to hyper focus on what somebody next to them 229 00:10:56,720 --> 00:10:59,600 Speaker 2: has instead of what they have. And this is where 230 00:10:59,640 --> 00:11:02,400 Speaker 2: you get it to whether people will be happy, whether 231 00:11:02,440 --> 00:11:04,679 Speaker 2: people will be fulfilled by these things? 232 00:11:04,880 --> 00:11:06,559 Speaker 4: Will will you really be fulfilled? 233 00:11:06,600 --> 00:11:08,800 Speaker 2: If you have I don't remember the name of the 234 00:11:08,920 --> 00:11:12,120 Speaker 2: robotic made from the Jetsons, but cleaning up everything, Row, 235 00:11:12,240 --> 00:11:16,400 Speaker 2: thank you Rosie making your food, cleaning up everything. You're 236 00:11:16,440 --> 00:11:18,600 Speaker 2: still gonna have wants and needs as a human being. 237 00:11:18,880 --> 00:11:20,560 Speaker 2: You know you're still you know this is this is 238 00:11:20,559 --> 00:11:22,840 Speaker 2: by the way, Clay. I also think, and I put 239 00:11:22,840 --> 00:11:24,880 Speaker 2: myself this category two, a lot of people have really 240 00:11:25,480 --> 00:11:27,840 Speaker 2: earnestly gone back to their faith and gone back to 241 00:11:27,920 --> 00:11:31,760 Speaker 2: church in recent years because I think they see, you know, 242 00:11:31,960 --> 00:11:35,320 Speaker 2: chasing the material things. Material things may get really boring 243 00:11:35,400 --> 00:11:38,200 Speaker 2: soon because everyone's going to have their material needs met. 244 00:11:39,280 --> 00:11:40,160 Speaker 4: Yeah. 245 00:11:40,200 --> 00:11:43,040 Speaker 1: And for Christy who called in keep your head up. 246 00:11:44,640 --> 00:11:47,720 Speaker 1: I have been fired multiple times. I've lost my jobs 247 00:11:47,840 --> 00:11:51,880 Speaker 1: multiple times. I know how stressful that entire process is. 248 00:11:51,920 --> 00:11:53,719 Speaker 1: I know there are lots of you out there in 249 00:11:53,760 --> 00:11:57,240 Speaker 1: this camp, and we hope again that that you're going 250 00:11:57,280 --> 00:11:58,719 Speaker 1: to find employment, and all of you are going to 251 00:11:58,760 --> 00:12:02,120 Speaker 1: find employment sooner rather than later. I do think at 252 00:12:02,160 --> 00:12:06,160 Speaker 1: a big picture part of what's going on is AI 253 00:12:06,320 --> 00:12:09,680 Speaker 1: disruption that is starting to work its way through the economy, 254 00:12:09,720 --> 00:12:14,400 Speaker 1: and frankly, I'm not smart enough to understand exactly what 255 00:12:14,520 --> 00:12:17,040 Speaker 1: the full on ramifications of this are going to be. 256 00:12:17,120 --> 00:12:20,400 Speaker 1: But some of the smartest people in the world believe 257 00:12:20,440 --> 00:12:22,800 Speaker 1: that the next decade is going to be transformative on 258 00:12:22,840 --> 00:12:25,199 Speaker 1: a level we may not even be able to comprehend 259 00:12:25,280 --> 00:12:25,720 Speaker 1: right now. 260 00:12:26,120 --> 00:12:29,280 Speaker 2: Yeah, it may make the Internet look like small potatoes 261 00:12:29,320 --> 00:12:31,439 Speaker 2: by comparison. Just one thing I would say for anyone 262 00:12:31,440 --> 00:12:35,040 Speaker 2: who's listening who's having trouble finding a job. In my experience, 263 00:12:35,080 --> 00:12:37,920 Speaker 2: and I've had I've had very different kinds of careers, 264 00:12:37,920 --> 00:12:41,400 Speaker 2: two very different careers really, and look, I've worked in different. 265 00:12:41,160 --> 00:12:41,640 Speaker 4: Kinds of things. 266 00:12:41,679 --> 00:12:46,400 Speaker 2: So as Clay and Clay started companies especially now, don't 267 00:12:46,440 --> 00:12:49,319 Speaker 2: just rely on blind resumes. If you want to send 268 00:12:49,360 --> 00:12:51,680 Speaker 2: those in, that's fine, you know, send them into that inbox. 269 00:12:51,840 --> 00:12:55,600 Speaker 2: It could work. It could work. Talk to people, and 270 00:12:55,679 --> 00:12:58,320 Speaker 2: I really mean that. You know, you're at you're at 271 00:12:58,360 --> 00:13:00,880 Speaker 2: a car dealership that seems like it's just really really 272 00:13:00,880 --> 00:13:03,439 Speaker 2: well run, and you think you'd be good in sales. 273 00:13:04,520 --> 00:13:06,559 Speaker 4: Talk to them. Yeah, just just start. 274 00:13:06,720 --> 00:13:08,200 Speaker 2: You don't have to be like, hey, I want a job, 275 00:13:08,360 --> 00:13:11,640 Speaker 2: Just start, you know, start gathering that information, creating that 276 00:13:11,760 --> 00:13:14,960 Speaker 2: contact with people. I think this is true for a 277 00:13:14,960 --> 00:13:17,440 Speaker 2: whole range of things, but for finding a job. People 278 00:13:17,480 --> 00:13:20,680 Speaker 2: get jobs from other people. You actually don't get a 279 00:13:20,760 --> 00:13:25,520 Speaker 2: job from an email inbox. Always remember that Buck Sexton. Here, 280 00:13:25,640 --> 00:13:28,120 Speaker 2: the entire Clay and Bucks show wish you and your 281 00:13:28,200 --> 00:13:31,240 Speaker 2: family a warm Christmas season and a joyful New Year. 282 00:13:32,040 --> 00:13:35,320 Speaker 3: You're listening to the best of Clay, Travis and Buck 283 00:13:35,400 --> 00:13:36,640 Speaker 3: Sexton playll. 284 00:13:36,800 --> 00:13:41,280 Speaker 5: I think this whole conversation about Clay not carrying cash 285 00:13:41,880 --> 00:13:47,120 Speaker 5: is his justification for not paying his sports bets to 286 00:13:47,200 --> 00:13:48,040 Speaker 5: Sean Hannity. 287 00:13:49,320 --> 00:13:53,280 Speaker 4: Clay, you own Hannity money. I've Worney. 288 00:13:53,600 --> 00:13:56,240 Speaker 1: I've lost every bet to Hannity, and he's been talking 289 00:13:56,240 --> 00:13:59,880 Speaker 1: about it lately. And I saw him in person on Thursday. 290 00:14:00,080 --> 00:14:01,640 Speaker 1: I was just like, man, I didn't get a chance. 291 00:14:01,960 --> 00:14:05,160 Speaker 1: I haven't been to the ATM. So, uh, you know, 292 00:14:05,320 --> 00:14:08,840 Speaker 1: shawnt left left your wallet and your other suit jacket? 293 00:14:08,960 --> 00:14:10,920 Speaker 1: Is that where we are played? I had the tous on, 294 00:14:11,400 --> 00:14:13,240 Speaker 1: I had the tucks on at the Patriot Awards. I'm 295 00:14:13,280 --> 00:14:16,240 Speaker 1: not usually having the wallet in the tuxpants. Uh, And 296 00:14:16,280 --> 00:14:19,880 Speaker 1: so it's just tough timing for me. And uh yeah, 297 00:14:19,920 --> 00:14:22,840 Speaker 1: that is Uh, that is very very funny. A lot 298 00:14:22,840 --> 00:14:26,040 Speaker 1: of great reactions, by the way, pouring in on many 299 00:14:26,080 --> 00:14:27,480 Speaker 1: different topics out there. 300 00:14:27,400 --> 00:14:31,920 Speaker 4: Including all of you people who love change pocket change. 301 00:14:32,440 --> 00:14:35,040 Speaker 1: All of you men out there with ten pounds of 302 00:14:35,040 --> 00:14:37,480 Speaker 1: pocket change and one of your pockets pulling down your pants. 303 00:14:37,520 --> 00:14:40,000 Speaker 1: That's why you have to wear a belt buckle, because 304 00:14:40,080 --> 00:14:44,360 Speaker 1: the change is just overloading your uh your pants otherwise. 305 00:14:43,960 --> 00:14:44,720 Speaker 4: Dragging you down. 306 00:14:45,840 --> 00:14:49,680 Speaker 1: And uh, let's see, I want to catch up with 307 00:14:49,800 --> 00:14:55,320 Speaker 1: all of these, uh you know, I will say I 308 00:14:55,360 --> 00:14:59,680 Speaker 1: was reading an article the original silver buck in the 309 00:15:00,920 --> 00:15:05,360 Speaker 1: in the coins I believe stopped around nineteen sixty, and 310 00:15:05,480 --> 00:15:10,320 Speaker 1: so an average quarter and half dollar I think is 311 00:15:10,400 --> 00:15:13,400 Speaker 1: now worth if it's pre nineteen sixty, because we've seen 312 00:15:13,440 --> 00:15:16,560 Speaker 1: precious metals prices go up to such an extent. I 313 00:15:16,560 --> 00:15:19,720 Speaker 1: think if you find a half dollar or a quarter 314 00:15:20,640 --> 00:15:24,280 Speaker 1: that is full silver, they're now actually worth over three 315 00:15:24,360 --> 00:15:27,480 Speaker 1: dollars each. And I don't want you to look to 316 00:15:27,520 --> 00:15:30,000 Speaker 1: me to be your precious metals expert, so you can 317 00:15:30,040 --> 00:15:33,040 Speaker 1: do your own research. But they stopped making one hundred 318 00:15:33,080 --> 00:15:36,720 Speaker 1: percent silver coins, I believe it was sometime around nineteen sixty, 319 00:15:37,040 --> 00:15:39,760 Speaker 1: and if you find them from before, they're actually worth 320 00:15:39,920 --> 00:15:42,880 Speaker 1: way more than the face value of the coin. To 321 00:15:42,960 --> 00:15:46,120 Speaker 1: try to win back coin officionados out there. 322 00:15:46,320 --> 00:15:49,000 Speaker 2: Well, you know, in ancient Rome, they did this. They 323 00:15:49,040 --> 00:15:54,720 Speaker 2: had initially in their coinage. Early Roman coins had silver. 324 00:15:54,760 --> 00:15:58,080 Speaker 2: They were silver, they were made of silver, and almost 325 00:15:58,200 --> 00:16:02,120 Speaker 2: entirely and then over time they started the debasement of 326 00:16:02,160 --> 00:16:06,360 Speaker 2: their own coinage by putting less and less silver in 327 00:16:06,480 --> 00:16:07,160 Speaker 2: the coins. 328 00:16:07,600 --> 00:16:11,680 Speaker 1: Didn't that also contribute to insane rates of lead poisoning 329 00:16:11,760 --> 00:16:14,200 Speaker 1: the way that they made the coins back in the day. 330 00:16:14,440 --> 00:16:17,680 Speaker 1: I think I'm correct about that in terms of the 331 00:16:17,720 --> 00:16:20,680 Speaker 1: impact of coinage. But yes, that is typically what happens 332 00:16:20,760 --> 00:16:24,760 Speaker 1: is you're debasing on a face value level the substance 333 00:16:24,880 --> 00:16:29,840 Speaker 1: under which your currency is based. Michigan Tim He says 334 00:16:29,840 --> 00:16:32,840 Speaker 1: he's got a coin operated laundromat. Imagine the amount of 335 00:16:32,840 --> 00:16:34,720 Speaker 1: coins he's collecting on a daily basis. 336 00:16:34,760 --> 00:16:35,920 Speaker 4: Gigi, I own. 337 00:16:35,800 --> 00:16:39,680 Speaker 5: A coin operated laundromat. I sure hope they don't get 338 00:16:39,800 --> 00:16:40,720 Speaker 5: rid of quarters. 339 00:16:43,240 --> 00:16:46,440 Speaker 1: Well, look, they're not going to get rid of them. 340 00:16:46,520 --> 00:16:48,920 Speaker 1: The question is, and this topic came up because they 341 00:16:48,960 --> 00:16:53,160 Speaker 1: are finishing the production of pennies, so pennies will continue 342 00:16:53,160 --> 00:16:53,880 Speaker 1: to circulate. 343 00:16:54,000 --> 00:16:56,840 Speaker 4: There just won't be new ones coming into. 344 00:16:57,000 --> 00:17:03,360 Speaker 1: The overall coin release, and the reality is most people 345 00:17:03,400 --> 00:17:05,960 Speaker 1: are still going to keep losing pennies in their couch cushions. 346 00:17:06,119 --> 00:17:08,400 Speaker 1: And eventually they will all vanish, but that's where they 347 00:17:08,440 --> 00:17:08,760 Speaker 1: will be. 348 00:17:09,280 --> 00:17:12,760 Speaker 3: You're enjoying the best of program with Clay Travis and 349 00:17:12,880 --> 00:17:13,600 Speaker 3: Buck Sexton. 350 00:17:13,760 --> 00:17:17,440 Speaker 1: Clay Travis Buck Sexton Show. We thank you for hanging 351 00:17:17,480 --> 00:17:20,600 Speaker 1: out with all of us on a Thursday as the 352 00:17:20,640 --> 00:17:25,439 Speaker 1: government is officially reopened. Encourage you to go subscribe to 353 00:17:25,640 --> 00:17:28,080 Speaker 1: the podcast. You can search out my name Clay Travis, 354 00:17:28,080 --> 00:17:30,320 Speaker 1: you can search out Buck Sexton. We've got an incredible 355 00:17:30,400 --> 00:17:34,400 Speaker 1: network of shows that are distributed there as well, and 356 00:17:35,200 --> 00:17:38,480 Speaker 1: go subscribe to our YouTube channel. This week, you have 357 00:17:38,600 --> 00:17:41,600 Speaker 1: been seeing that I am now in a studio that 358 00:17:41,640 --> 00:17:45,280 Speaker 1: does not look like the Wayne's World basement. There is 359 00:17:45,400 --> 00:17:49,480 Speaker 1: bright lights, there is better graphics, and so you can 360 00:17:49,560 --> 00:17:53,200 Speaker 1: check it out for yourself to see how things look there. 361 00:17:53,920 --> 00:17:54,200 Speaker 4: Buck. 362 00:17:54,280 --> 00:17:57,520 Speaker 1: I was last night on with our friend Sean Hannity 363 00:17:57,680 --> 00:18:01,320 Speaker 1: as the President was preparing to the bill to open 364 00:18:01,359 --> 00:18:02,360 Speaker 1: the government back up. 365 00:18:02,480 --> 00:18:04,919 Speaker 2: Yes, just I think it's very big of Sean to 366 00:18:05,000 --> 00:18:07,600 Speaker 2: have you on a show while you still owe him 367 00:18:07,640 --> 00:18:08,680 Speaker 2: some cold hard cash. 368 00:18:08,720 --> 00:18:10,280 Speaker 4: And you know, Sean's a very nice guy. 369 00:18:10,359 --> 00:18:12,520 Speaker 2: He's letting you get on a show even though there's 370 00:18:12,560 --> 00:18:13,720 Speaker 2: an outstanding dead here. 371 00:18:14,840 --> 00:18:15,520 Speaker 4: It is true. 372 00:18:15,720 --> 00:18:17,959 Speaker 1: I mean, I can honestly say, I don't think I've 373 00:18:18,000 --> 00:18:19,879 Speaker 1: ever been on any one show that I owed money 374 00:18:19,880 --> 00:18:23,199 Speaker 1: to before. And Hannity has not broken any legs. He 375 00:18:23,240 --> 00:18:26,600 Speaker 1: hasn't loan sharked me out. I haven't had, you know, 376 00:18:26,640 --> 00:18:31,040 Speaker 1: anybody knocking on the door looking to collect. Unfortunately for me, 377 00:18:32,560 --> 00:18:35,639 Speaker 1: I don't carry around that much cash. So it's just 378 00:18:35,640 --> 00:18:37,680 Speaker 1: just been a thing. Like I saw Sean last week 379 00:18:38,320 --> 00:18:40,639 Speaker 1: at Patriot Awards told him, I said, hey, man, sorry, 380 00:18:40,840 --> 00:18:41,560 Speaker 1: I'm weren't a tux. 381 00:18:41,600 --> 00:18:42,120 Speaker 4: I forgot to. 382 00:18:42,080 --> 00:18:46,520 Speaker 1: Bring cash, and god forbid I had any change this week. 383 00:18:46,600 --> 00:18:48,720 Speaker 4: We're lucky Hannity as a gentleman, is all I'm saying. 384 00:18:49,040 --> 00:18:51,320 Speaker 1: We got a lot of emails from people out there 385 00:18:51,359 --> 00:18:54,560 Speaker 1: that love pocket change, which we can have some fun 386 00:18:54,600 --> 00:18:57,480 Speaker 1: with before the show is over. But they had to 387 00:18:57,520 --> 00:19:00,800 Speaker 1: cover phill time, and so they had our friend Peter 388 00:19:00,880 --> 00:19:04,840 Speaker 1: Deucey was on from the White House lawn and Sean 389 00:19:05,119 --> 00:19:09,919 Speaker 1: was just asked him, Hey, how much different is it 390 00:19:10,119 --> 00:19:14,280 Speaker 1: for the media that cover the president now, where basically 391 00:19:14,320 --> 00:19:18,160 Speaker 1: you can ask questions all the time compared to Joe 392 00:19:18,200 --> 00:19:20,679 Speaker 1: Biden where he might show up once a week and 393 00:19:20,800 --> 00:19:24,199 Speaker 1: kind of mumble through things. And how do the media 394 00:19:24,320 --> 00:19:26,399 Speaker 1: talk about that. I thought it was a good question. 395 00:19:26,680 --> 00:19:29,800 Speaker 1: Here's an interesting answer where Deucey's like, man, I got 396 00:19:29,800 --> 00:19:32,679 Speaker 1: to scramble to even find new questions to ask the 397 00:19:32,680 --> 00:19:34,920 Speaker 1: president because he answers so many of them. 398 00:19:34,960 --> 00:19:38,840 Speaker 6: Listen, it's totally backwards covering Joe Biden for four years 399 00:19:38,840 --> 00:19:41,679 Speaker 6: and covering this president for almost a year now. In 400 00:19:41,720 --> 00:19:45,159 Speaker 6: that the Biden administration, at most, you would see him 401 00:19:45,200 --> 00:19:48,440 Speaker 6: once a week and you had like one sentence worth 402 00:19:48,440 --> 00:19:49,359 Speaker 6: of a shouted question. 403 00:19:49,520 --> 00:19:51,600 Speaker 4: You could hope for a one word answer. 404 00:19:51,960 --> 00:19:54,719 Speaker 6: At best, and then I would have to make that 405 00:19:54,800 --> 00:19:56,919 Speaker 6: last meet a week or more, whether on the campaign 406 00:19:56,960 --> 00:19:59,400 Speaker 6: trail or here at the White House, whereas with this president, 407 00:19:59,600 --> 00:20:02,480 Speaker 6: there's typically only one day week that you don't see him, 408 00:20:02,560 --> 00:20:04,720 Speaker 6: and you go in there with two pages of questions 409 00:20:04,760 --> 00:20:07,880 Speaker 6: and he'll be rattling off answers, and other people might 410 00:20:07,920 --> 00:20:09,760 Speaker 6: ask your questions, and it's like, I don't think I 411 00:20:09,800 --> 00:20:11,600 Speaker 6: have enough. You open up your phone, you go to 412 00:20:11,880 --> 00:20:14,119 Speaker 6: daily mail. It's like, what else is happening today that 413 00:20:14,160 --> 00:20:16,960 Speaker 6: I can ask the president about right now? 414 00:20:18,119 --> 00:20:20,679 Speaker 1: I just thought that was really funny that Trump is 415 00:20:20,840 --> 00:20:25,199 Speaker 1: answering so many questions about so many different topics that 416 00:20:25,359 --> 00:20:29,159 Speaker 1: sometimes if you're in the oval office and preparing yourself 417 00:20:29,520 --> 00:20:32,560 Speaker 1: to be asking him questions, he runs through the entire 418 00:20:32,680 --> 00:20:36,359 Speaker 1: roster of questions. So you're going on dailymail dot com 419 00:20:36,400 --> 00:20:38,440 Speaker 1: to check and see what the latest news is. Maybe 420 00:20:38,440 --> 00:20:40,960 Speaker 1: OutKick dot com. Okay, a bunch of people want to 421 00:20:41,000 --> 00:20:43,320 Speaker 1: weigh in, buck, We got loaded wines all over the country. 422 00:20:44,440 --> 00:20:47,320 Speaker 1: Let's uh, let's go to Dave in Rochester, New York. 423 00:20:47,359 --> 00:20:49,480 Speaker 1: We'll start with you, Dave fire Away. 424 00:20:50,960 --> 00:20:53,959 Speaker 7: Hey, guys, love your show. So I think I think 425 00:20:54,000 --> 00:20:57,240 Speaker 7: you're missing the mark on the grocery store food desert. 426 00:20:57,640 --> 00:21:00,760 Speaker 7: What's happened? There's so much theft. Actually, stores have to 427 00:21:00,840 --> 00:21:04,800 Speaker 7: lock product up. I've in Rochester, New York, and there's uh, 428 00:21:05,240 --> 00:21:07,600 Speaker 7: you know, Wegman's chain here in Rochester, and they moved 429 00:21:07,600 --> 00:21:09,920 Speaker 7: out of the city entirely, with the exception one store 430 00:21:10,040 --> 00:21:13,000 Speaker 7: due to theft. Yeah, and we've got two walmarts in 431 00:21:13,080 --> 00:21:18,000 Speaker 7: Rochester that basically have two law enforcement cars outside and 432 00:21:18,200 --> 00:21:21,480 Speaker 7: shot spotters in the parking lot. So it's not that, 433 00:21:22,520 --> 00:21:24,199 Speaker 7: you know, they don't want to buy stuff, it's that 434 00:21:24,240 --> 00:21:26,680 Speaker 7: there's so much stuff. There's no profit to run a 435 00:21:26,720 --> 00:21:27,399 Speaker 7: grocery store. 436 00:21:27,800 --> 00:21:30,760 Speaker 1: Well, thank you, it's it's a combination of multiple factors. 437 00:21:30,760 --> 00:21:33,439 Speaker 1: But what we were talking about in particular was the 438 00:21:33,640 --> 00:21:37,640 Speaker 1: products that are sold in the grocery store. Even when 439 00:21:37,680 --> 00:21:41,880 Speaker 1: they are discounting quote unquote healthy foods, the people who 440 00:21:41,920 --> 00:21:45,119 Speaker 1: buy product still want to buy the unhealthy food. 441 00:21:45,160 --> 00:21:47,320 Speaker 4: In other word, it's not an absence. 442 00:21:47,280 --> 00:21:50,680 Speaker 2: And people aren't aren't swiping all the shark cootery. I 443 00:21:50,720 --> 00:21:53,119 Speaker 2: can assure you that's not that's not what's happening. 444 00:21:53,520 --> 00:21:55,679 Speaker 1: And also we've talked about this quite a lot, because 445 00:21:55,760 --> 00:21:59,240 Speaker 1: the worst thing about a store shutting down in the 446 00:21:59,520 --> 00:22:02,280 Speaker 1: in the neighbor is not only the lack of access 447 00:22:02,320 --> 00:22:04,760 Speaker 1: to the store, oftentimes because of theft, it takes all 448 00:22:04,760 --> 00:22:06,960 Speaker 1: those jobs out of the community. So you have to 449 00:22:07,000 --> 00:22:08,280 Speaker 1: get on a bus or you have to get on 450 00:22:08,400 --> 00:22:10,960 Speaker 1: public transit and go a decent distance to. 451 00:22:11,000 --> 00:22:11,480 Speaker 4: Have a job. 452 00:22:11,600 --> 00:22:14,080 Speaker 2: Look, you can see you can take a drive through 453 00:22:14,160 --> 00:22:18,159 Speaker 2: any neighborhood really in America, and you know, based on 454 00:22:18,680 --> 00:22:22,159 Speaker 2: the businesses and kind of how the businesses look, you 455 00:22:22,280 --> 00:22:26,480 Speaker 2: know what the vibe is around the business, what kind 456 00:22:26,520 --> 00:22:28,879 Speaker 2: of a neighborhood you're in. If you're in a neighborhood 457 00:22:28,880 --> 00:22:32,960 Speaker 2: where the businesses have bars on the doors, bars on 458 00:22:33,000 --> 00:22:36,439 Speaker 2: the windows. Even for like a seven to eleven setup, 459 00:22:36,480 --> 00:22:38,720 Speaker 2: it looks like there's a bank teller behind, you know, 460 00:22:38,800 --> 00:22:42,720 Speaker 2: bulletproof glass. You're in bad shape. If there's a lot 461 00:22:42,760 --> 00:22:46,560 Speaker 2: of check cashing places. If there's a lot of liquor stores, 462 00:22:46,680 --> 00:22:50,399 Speaker 2: especially kind of depressing looking liquor stores, you're in bad shape. 463 00:22:50,480 --> 00:22:50,600 Speaker 4: Right. 464 00:22:51,240 --> 00:22:53,560 Speaker 2: We talked about what happened at some of these pharmacies 465 00:22:53,680 --> 00:22:56,440 Speaker 2: when there were the BLM riots that would burn down 466 00:22:56,480 --> 00:22:59,320 Speaker 2: these pharmacies. Play some of those places like a wall, 467 00:22:59,440 --> 00:23:02,760 Speaker 2: you know walls. People actually get their food there, that 468 00:23:02,920 --> 00:23:05,080 Speaker 2: get groceries that they'll go there to get yelp, they'll 469 00:23:05,080 --> 00:23:07,359 Speaker 2: go there to get So when those close down, it's 470 00:23:07,440 --> 00:23:09,159 Speaker 2: not just oh I have to go further from my 471 00:23:09,240 --> 00:23:13,840 Speaker 2: prescription or whatever. It's also adding to the lack of 472 00:23:13,880 --> 00:23:17,719 Speaker 2: good food options. Look, I I spent about a year 473 00:23:17,760 --> 00:23:19,760 Speaker 2: and a half of the NYPD, and we would do 474 00:23:20,600 --> 00:23:21,960 Speaker 2: we would do steakouts. 475 00:23:21,960 --> 00:23:23,680 Speaker 4: I mean, I know that sounds like I was. I 476 00:23:23,680 --> 00:23:24,440 Speaker 4: would do steakouts. 477 00:23:24,520 --> 00:23:27,200 Speaker 2: You an un marked carr'd below the detective and in 478 00:23:27,359 --> 00:23:32,479 Speaker 2: some very very sketchy neighborhoods and you know people, uh 479 00:23:34,240 --> 00:23:36,520 Speaker 2: you'd see like what they're buying and where they go 480 00:23:36,720 --> 00:23:39,720 Speaker 2: what the stores look like. You can tell in a 481 00:23:39,760 --> 00:23:42,159 Speaker 2: lot of these stores what the average income of the 482 00:23:42,160 --> 00:23:44,520 Speaker 2: people living in the neighborhood is just by what by 483 00:23:44,560 --> 00:23:47,880 Speaker 2: the grab and go right by the register. I'm telling 484 00:23:47,920 --> 00:23:50,359 Speaker 2: you know, if you're in a fancy if you're in 485 00:23:50,400 --> 00:23:53,000 Speaker 2: a fancy ish or even a middle class neighborhood, it's 486 00:23:53,000 --> 00:23:56,480 Speaker 2: going to be like, you know, nice chocolate bars and 487 00:23:56,560 --> 00:23:58,960 Speaker 2: things like that. If you're in a rough neighborhood, it's 488 00:23:59,000 --> 00:24:01,040 Speaker 2: going to be off brand chips, it's going to be 489 00:24:01,080 --> 00:24:04,320 Speaker 2: off brand whatever. And you know, you see these things 490 00:24:04,400 --> 00:24:07,720 Speaker 2: playing out, and people pick up on these signals in 491 00:24:07,760 --> 00:24:11,040 Speaker 2: their own community, and it's and it's a shame because 492 00:24:11,080 --> 00:24:11,960 Speaker 2: you should have pride in. 493 00:24:11,960 --> 00:24:13,200 Speaker 4: The businesses in your community. 494 00:24:13,280 --> 00:24:17,879 Speaker 2: To your point, also employers in your community, which makes it, 495 00:24:18,400 --> 00:24:21,040 Speaker 2: you know, a place that people feel more invested in 496 00:24:21,160 --> 00:24:22,680 Speaker 2: as well, no doubt. 497 00:24:23,359 --> 00:24:26,640 Speaker 4: Joe in Naples, Florida, Joe, what you got for us. 498 00:24:27,920 --> 00:24:30,840 Speaker 8: Gentlemen, I want to weigh in on the h one bs. 499 00:24:32,200 --> 00:24:35,560 Speaker 8: For mid seventies through two thousand and eight, I ran 500 00:24:35,600 --> 00:24:40,200 Speaker 8: a technology company in the Boston area. I was competing 501 00:24:40,359 --> 00:24:43,879 Speaker 8: with half a dozen major computer companies, a lot of 502 00:24:44,000 --> 00:24:47,720 Speaker 8: tech I had to use H one B's because the 503 00:24:47,840 --> 00:24:52,160 Speaker 8: American schools were not turning out the quality of engineer 504 00:24:52,880 --> 00:24:56,520 Speaker 8: and mathematicians I needed. I used a couple of Germans, 505 00:24:56,800 --> 00:25:03,359 Speaker 8: an Englishman, and a Japanese among others. I put the 506 00:25:03,440 --> 00:25:06,919 Speaker 8: issue down to in the fifties and sixties we had 507 00:25:06,960 --> 00:25:11,240 Speaker 8: the big Eisenhower Science and Technology initiative in schools, and 508 00:25:11,359 --> 00:25:14,640 Speaker 8: that faded out by the mid seventies. I use them. 509 00:25:14,760 --> 00:25:19,640 Speaker 8: I wound up having to pay as much, if not more, 510 00:25:19,800 --> 00:25:25,080 Speaker 8: to get qualified engineers, data scientists, and math people. 511 00:25:26,040 --> 00:25:30,760 Speaker 1: And so you couldn't find in your experience in Boston, 512 00:25:31,440 --> 00:25:35,400 Speaker 1: you couldn't find Americans with This was not a dollars 513 00:25:35,520 --> 00:25:39,640 Speaker 1: decision for you. Necessarily, you couldn't find American born workers 514 00:25:40,160 --> 00:25:42,720 Speaker 1: with the skill set you needed to have an effective company. 515 00:25:43,920 --> 00:25:46,520 Speaker 8: I would go down to MIT. I'm an alum of MIT. 516 00:25:46,720 --> 00:25:50,119 Speaker 8: I would go down there every interview opportunity, and I 517 00:25:50,240 --> 00:25:54,480 Speaker 8: might be able to get one engineer, one applied math guy. 518 00:25:55,200 --> 00:25:58,399 Speaker 8: Because I was competing against IBM, Deck, Data, General Wang, 519 00:25:58,440 --> 00:26:01,360 Speaker 8: a whole bunch of other big boys they could we got. 520 00:26:01,600 --> 00:26:07,920 Speaker 8: We got MIT, Northeastern bu. The fight for the fight 521 00:26:08,200 --> 00:26:13,360 Speaker 8: for qualified folks started very heavy in the late seventies 522 00:26:13,400 --> 00:26:16,399 Speaker 8: early eighties. The first five years of the business, I 523 00:26:16,440 --> 00:26:19,040 Speaker 8: could sort of find what I needed. But when the 524 00:26:19,720 --> 00:26:25,920 Speaker 8: colleges started dumbing down grades and the government initiative on 525 00:26:26,280 --> 00:26:31,080 Speaker 8: the space race and technologies started going down, couldn't get them, 526 00:26:31,359 --> 00:26:33,840 Speaker 8: just could not get the quality of engineer. 527 00:26:35,200 --> 00:26:35,920 Speaker 4: Thank you for the call. 528 00:26:36,000 --> 00:26:38,399 Speaker 1: And this is what I would say, Buck is somewhat 529 00:26:38,400 --> 00:26:42,879 Speaker 1: of a clarion call for needing to graduate more American 530 00:26:43,000 --> 00:26:47,919 Speaker 1: born students with skills in the so called hard sciences 531 00:26:48,119 --> 00:26:51,200 Speaker 1: as opposed to the social sciences, which tend to be 532 00:26:51,320 --> 00:26:53,160 Speaker 1: easier and aren't as challenging. 533 00:26:53,280 --> 00:26:55,840 Speaker 4: Jeff and Las Vegas, you got to take for us. 534 00:26:55,880 --> 00:26:56,480 Speaker 4: Thanks for calling. 535 00:27:00,560 --> 00:27:01,600 Speaker 7: Work for thirty years. 536 00:27:02,040 --> 00:27:04,760 Speaker 9: And when I started out, all the recruiters, all the 537 00:27:04,840 --> 00:27:09,359 Speaker 9: recruiters were Americans, and as a contract programmer, my life 538 00:27:09,520 --> 00:27:13,320 Speaker 9: depends on recruiters. Now the majority are Indians, and not 539 00:27:13,480 --> 00:27:15,800 Speaker 9: only that, I would say about ten or twenty percent 540 00:27:16,119 --> 00:27:19,119 Speaker 9: are calling from India. And I'd like to refute the 541 00:27:19,160 --> 00:27:22,760 Speaker 9: first the guy that just was on. I've been a 542 00:27:22,880 --> 00:27:28,040 Speaker 9: VP director and I've hired programmers. I've hired Indian programmers, 543 00:27:28,080 --> 00:27:32,040 Speaker 9: and I've hired American programmers, and American programmers are just 544 00:27:32,119 --> 00:27:35,680 Speaker 9: as good, if not better. When I was at American 545 00:27:35,800 --> 00:27:39,640 Speaker 9: Mutual Funds, American Mutual Funds is in Irvine, California, which 546 00:27:39,720 --> 00:27:45,280 Speaker 9: is a big Indian community. Now there were floors and 547 00:27:45,520 --> 00:27:51,560 Speaker 9: floors of Indians, but senior management, senior management were all 548 00:27:53,040 --> 00:27:57,879 Speaker 9: Americans getting bonuses. One last thing, just to show you 549 00:27:58,000 --> 00:28:01,280 Speaker 9: how dumb American companies can be. I worked for Boeing 550 00:28:01,400 --> 00:28:03,040 Speaker 9: for a while, and when I was there, when they 551 00:28:03,119 --> 00:28:05,160 Speaker 9: made a contract, and when they made a deal with China. 552 00:28:05,840 --> 00:28:08,960 Speaker 9: And the deal was that China would buy several hundred 553 00:28:08,960 --> 00:28:13,080 Speaker 9: and seven forty sevens if Boeing would agree to turn 554 00:28:13,160 --> 00:28:17,359 Speaker 9: over all the engineering documents on the technologies that go 555 00:28:17,480 --> 00:28:21,480 Speaker 9: into building seven forty sevens. Guess what Boeing made the deal. 556 00:28:22,480 --> 00:28:24,520 Speaker 9: And one last thing, you guys have got one of 557 00:28:24,600 --> 00:28:29,200 Speaker 9: the top shows in America. Use your show. When you 558 00:28:29,240 --> 00:28:32,159 Speaker 9: guys come up with great, great ideas, which you do 559 00:28:32,280 --> 00:28:36,280 Speaker 9: all the time, call these calls Chuck Schumber, call call 560 00:28:36,400 --> 00:28:42,280 Speaker 9: these the call AOC, call a Crockett and live online. 561 00:28:42,320 --> 00:28:44,920 Speaker 9: And if they're too cowardly, the answer great, We'll all 562 00:28:45,000 --> 00:28:45,320 Speaker 9: see it. 563 00:28:45,440 --> 00:28:46,400 Speaker 8: They're all full of crack. 564 00:28:46,880 --> 00:28:48,040 Speaker 4: Hey, well, thank you for the call. 565 00:28:48,520 --> 00:28:50,520 Speaker 1: A lot of good comments there, they won't come on, 566 00:28:51,040 --> 00:28:54,600 Speaker 1: and I think there's now a rule where we aren't allowed. 567 00:28:54,840 --> 00:28:56,880 Speaker 4: I know this was an old school radio thing. 568 00:28:57,000 --> 00:28:59,600 Speaker 1: You could just call people and try to get them 569 00:28:59,680 --> 00:29:02,120 Speaker 1: online line without get them on air, without saying who 570 00:29:02,240 --> 00:29:04,440 Speaker 1: you are, and you would get them talking and then 571 00:29:04,480 --> 00:29:07,000 Speaker 1: they find out, hey, we're talking to tons of people 572 00:29:07,080 --> 00:29:09,160 Speaker 1: all over the city or all over the state or 573 00:29:09,240 --> 00:29:09,560 Speaker 1: the nation. 574 00:29:10,840 --> 00:29:11,800 Speaker 8: We have we have. 575 00:29:11,880 --> 00:29:15,720 Speaker 1: Extended offers to people across the political spectrum. 576 00:29:15,760 --> 00:29:17,520 Speaker 4: And there are a couple a couple of things on this. 577 00:29:17,640 --> 00:29:20,640 Speaker 2: One is we would never get even forget about that rule, 578 00:29:20,680 --> 00:29:22,720 Speaker 2: which I think you're you're right on that, but I'd 579 00:29:22,760 --> 00:29:25,800 Speaker 2: have to look into it. We wouldn't get around their staff. 580 00:29:26,000 --> 00:29:28,480 Speaker 2: They don't Chuck schu there's no there's no like bat 581 00:29:28,560 --> 00:29:31,040 Speaker 2: phone to Chuck Schumer. Well, at least we don't have it. 582 00:29:31,920 --> 00:29:34,480 Speaker 2: We don't have that line where we could call in. 583 00:29:34,640 --> 00:29:36,760 Speaker 2: So we're not going to get around his staff. And 584 00:29:36,880 --> 00:29:38,760 Speaker 2: I honestly think a lot of the time there's a 585 00:29:38,840 --> 00:29:43,840 Speaker 2: limited value with some of these Democrats. They're just gonna say, 586 00:29:44,440 --> 00:29:47,160 Speaker 2: you know, Chuck Schumer would say, it's about affordability, it's 587 00:29:47,160 --> 00:29:50,240 Speaker 2: about healthcare. Donald Trump is wrecking the Republic. 588 00:29:50,400 --> 00:29:51,720 Speaker 4: You've already you've already heard. 589 00:29:51,560 --> 00:29:54,040 Speaker 2: It all, and that's why I don't really you know, 590 00:29:54,120 --> 00:29:56,400 Speaker 2: we can pick and choose, like Fetterman would be interesting 591 00:29:56,480 --> 00:29:59,600 Speaker 2: because there's some areas where you could actually get to 592 00:29:59,680 --> 00:30:02,120 Speaker 2: a play of some agreement, a little disagreement. There's a 593 00:30:02,160 --> 00:30:05,520 Speaker 2: give and take with your run of the mill democrat 594 00:30:05,640 --> 00:30:08,160 Speaker 2: on a radio show, I mean a Democrat politician on 595 00:30:08,240 --> 00:30:11,680 Speaker 2: a radio show. They're just gonna say what they always say, 596 00:30:11,760 --> 00:30:13,600 Speaker 2: I mean, what they're saying on CNN. They're going to 597 00:30:13,640 --> 00:30:16,040 Speaker 2: stay right on the talking points. So I just don't 598 00:30:16,080 --> 00:30:18,920 Speaker 2: think it's very likely to be instructive or very good 599 00:30:19,000 --> 00:30:21,520 Speaker 2: radio personally. If that wasn't the case, I think we 600 00:30:21,560 --> 00:30:24,400 Speaker 2: would push more to get Democrats on. Plus Kay will 601 00:30:24,440 --> 00:30:26,080 Speaker 2: yell at them like you did Mike Pence and then 602 00:30:26,120 --> 00:30:26,800 Speaker 2: everyone will cry. 603 00:30:27,360 --> 00:30:29,640 Speaker 4: I would be I would be very happy to get 604 00:30:29,720 --> 00:30:31,040 Speaker 4: these guys on. They won't come on. 605 00:30:31,840 --> 00:30:34,800 Speaker 1: I think it's because they just know that they don't 606 00:30:35,000 --> 00:30:39,040 Speaker 1: have anything beyond talking points. And talking points in a 607 00:30:39,200 --> 00:30:43,080 Speaker 1: three minute television hit might work in a fifteen minute 608 00:30:43,160 --> 00:30:44,880 Speaker 1: radio it actually expected. 609 00:30:45,120 --> 00:30:46,760 Speaker 2: I can give you a preview of our of our 610 00:30:46,880 --> 00:30:50,080 Speaker 2: conversation with Chuck, our imaginary conversations with Chuck Schumer. I'd say, 611 00:30:50,400 --> 00:30:53,960 Speaker 2: Senator Schumer, so have premiums for the average American on 612 00:30:54,040 --> 00:30:57,440 Speaker 2: the individual market gone up on average one hundred percent 613 00:30:57,600 --> 00:30:59,240 Speaker 2: or more over the last ten years. And you know 614 00:30:59,280 --> 00:31:03,200 Speaker 2: who's response be Donald Trump doesn't care about the working 615 00:31:03,320 --> 00:31:07,240 Speaker 2: class and doesn't care about middle America, and we want 616 00:31:07,280 --> 00:31:09,480 Speaker 2: to make sure your premiums are cheap. And I could 617 00:31:09,520 --> 00:31:11,440 Speaker 2: repeat my question, I could say it again, but sure 618 00:31:11,600 --> 00:31:13,920 Speaker 2: is it true? You know what he would say, Donald 619 00:31:13,920 --> 00:31:16,560 Speaker 2: Trump doesn't care about the middle class. He's you know, 620 00:31:16,600 --> 00:31:19,840 Speaker 2: blah blah. This is why you don't really get very 621 00:31:19,880 --> 00:31:23,000 Speaker 2: far with these people. So especially Shoomer, he wouldn't even 622 00:31:23,040 --> 00:31:23,360 Speaker 2: be fun. 623 00:31:24,720 --> 00:31:28,120 Speaker 1: He's actually really boring and not a great communicator, which 624 00:31:28,200 --> 00:31:32,120 Speaker 1: is not ideal. Clay Travis with the Clay and Buck Show, 625 00:31:32,160 --> 00:31:35,040 Speaker 1: wishing you and your family a very merry Christmas and 626 00:31:35,440 --> 00:31:36,320 Speaker 1: a happy New Year. 627 00:31:37,200 --> 00:31:40,960 Speaker 3: You're listening to the best of Clay Travis and Buck Sexton. 628 00:31:41,360 --> 00:31:43,520 Speaker 2: Welcome back in to Clay and Buck. We got kind 629 00:31:43,520 --> 00:31:45,560 Speaker 2: of a short one here to close out the show, 630 00:31:45,960 --> 00:31:47,440 Speaker 2: so I just want to remind you go subscribe to 631 00:31:47,440 --> 00:31:50,320 Speaker 2: Crocket Coffee this holiday season. Go to Crocketcoffee dot Com, 632 00:31:50,560 --> 00:31:55,640 Speaker 2: click on subscribe, get your best coffee beans anywhere, get 633 00:31:55,680 --> 00:31:57,600 Speaker 2: them ground, get them whole. You can get cake cups, 634 00:31:58,200 --> 00:32:02,400 Speaker 2: even got organic coffee. Got great gear, cool sweatshirts and things, 635 00:32:02,440 --> 00:32:04,240 Speaker 2: and the spirit of Davy Crockett. Ten percent of the 636 00:32:04,280 --> 00:32:08,320 Speaker 2: profits goes to Tunnel, the Towers, the Foundation, and tomorrow 637 00:32:08,480 --> 00:32:10,040 Speaker 2: I'm gonna put out a marker. I want to talk 638 00:32:10,240 --> 00:32:13,560 Speaker 2: about this tomorrow. The Open Table app, which I use 639 00:32:13,640 --> 00:32:15,560 Speaker 2: less now that I'm a dad, because you know, it's 640 00:32:15,560 --> 00:32:18,520 Speaker 2: a lot more time dealing with pulling Puraid p's off 641 00:32:18,600 --> 00:32:20,840 Speaker 2: the floor, you know, I mean, we're in that phase. 642 00:32:20,960 --> 00:32:22,720 Speaker 2: You don't get to go out to dinner as often 643 00:32:22,800 --> 00:32:24,840 Speaker 2: as you used to. New we have to get a 644 00:32:24,880 --> 00:32:29,719 Speaker 2: babysitter because also the dog and my baby have they 645 00:32:29,800 --> 00:32:32,280 Speaker 2: have a deal going where the dog now goes close 646 00:32:32,360 --> 00:32:34,960 Speaker 2: to the high chair and knows that about seventy five 647 00:32:35,000 --> 00:32:37,120 Speaker 2: percent of the Puraid food ends up on the ground, 648 00:32:37,440 --> 00:32:40,320 Speaker 2: and so she's the cleanup crew. So I can't I 649 00:32:40,400 --> 00:32:42,400 Speaker 2: can't stop this right because I'm like, well, it's kind 650 00:32:42,400 --> 00:32:46,400 Speaker 2: of efficient, but that's what's going on. But Open Table Clay, 651 00:32:46,480 --> 00:32:50,000 Speaker 2: the app that everyone uses for reservations, Open tables collecting 652 00:32:50,040 --> 00:32:51,960 Speaker 2: more than just where you like to eat on people, 653 00:32:52,760 --> 00:32:55,240 Speaker 2: And I want to get into this. I actually I'll 654 00:32:55,280 --> 00:32:58,200 Speaker 2: tell you this everybody. I think if you're a repeat 655 00:32:58,280 --> 00:33:01,520 Speaker 2: canceler on restaurants for reservation, I think that should be 656 00:33:01,600 --> 00:33:04,360 Speaker 2: taken into account. I think we should have something of 657 00:33:04,480 --> 00:33:07,120 Speaker 2: a dining out social credit score. I know some of 658 00:33:07,160 --> 00:33:09,560 Speaker 2: you're gonna get so ticked off, but I'm into it. 659 00:33:09,640 --> 00:33:11,000 Speaker 2: So we can talk about this tomorrow