1 00:00:00,200 --> 00:00:00,480 Speaker 1: Weird. 2 00:00:00,520 --> 00:00:03,560 Speaker 2: Thankful for you on this Thanksgiving Day for being a 3 00:00:03,640 --> 00:00:06,880 Speaker 2: listener here on the Clay Travis and Buck Sexton Show. 4 00:00:07,080 --> 00:00:10,840 Speaker 2: You're listening to the best of Clay Travis and Buck Sexton. 5 00:00:10,960 --> 00:00:15,560 Speaker 3: Something that got well, honestly, just moved down the news 6 00:00:15,600 --> 00:00:17,600 Speaker 3: priority list. I want to spend some time to talk 7 00:00:17,600 --> 00:00:19,959 Speaker 3: to you about it because it is one of those 8 00:00:20,160 --> 00:00:24,200 Speaker 3: broad conversations about politics and America and what's going on 9 00:00:24,280 --> 00:00:28,720 Speaker 3: today that answers a lot of questions right now and 10 00:00:28,840 --> 00:00:30,639 Speaker 3: also gives us a sense as. 11 00:00:30,480 --> 00:00:32,640 Speaker 4: To what the future is going to look like, what 12 00:00:32,840 --> 00:00:34,720 Speaker 4: is going on when. 13 00:00:34,640 --> 00:00:40,840 Speaker 3: It comes to men and women and their views of life, 14 00:00:41,520 --> 00:00:45,800 Speaker 3: specifically for Gen Z adults. Now, all of our boomers 15 00:00:45,840 --> 00:00:49,800 Speaker 3: boomers listening, we love you. This matters, as you know, 16 00:00:49,880 --> 00:00:53,640 Speaker 3: because these are your kids or grandkids in many cases, 17 00:00:54,560 --> 00:00:59,160 Speaker 3: and they shall inherit this republic of ours. And there's 18 00:00:59,200 --> 00:01:06,080 Speaker 3: some really stark differences. This is from NBC News polling 19 00:01:06,160 --> 00:01:10,240 Speaker 3: data about people eighteen to twenty nine years old. 20 00:01:10,280 --> 00:01:11,120 Speaker 4: So that's Gen Z. 21 00:01:12,080 --> 00:01:15,840 Speaker 3: I am a gray beard millennial, Clay, what are you? 22 00:01:15,880 --> 00:01:18,480 Speaker 3: Silent generation? You're some other You're not a millennial. 23 00:01:18,640 --> 00:01:23,560 Speaker 5: I am the youngest Gen X. You're Joe I am 24 00:01:23,600 --> 00:01:27,800 Speaker 5: the youngest generation member of the generation that has saved 25 00:01:27,840 --> 00:01:30,520 Speaker 5: America by supporting DOM I'm gonna say more than any 26 00:01:30,560 --> 00:01:31,240 Speaker 5: other generation. 27 00:01:31,360 --> 00:01:33,760 Speaker 3: My older brother who is also of your generation. You 28 00:01:33,760 --> 00:01:36,520 Speaker 3: guys are the same age. Mason very quick to point 29 00:01:36,560 --> 00:01:40,720 Speaker 3: out that Gen X probably has the best generation. 30 00:01:40,560 --> 00:01:41,559 Speaker 4: Rep right now. 31 00:01:41,760 --> 00:01:44,320 Speaker 3: It's certainly in the media world like everyone's like Gen 32 00:01:44,560 --> 00:01:49,400 Speaker 3: X just getting it done, all cool and you know, collected, uh, millennials, 33 00:01:49,440 --> 00:01:51,440 Speaker 3: we got some rough stuff because we complained a lot 34 00:01:51,480 --> 00:01:54,120 Speaker 3: about the housing and mortgage meltdown stuff in two thousand 35 00:01:54,160 --> 00:01:54,960 Speaker 3: and eight and what that. 36 00:01:54,880 --> 00:01:55,919 Speaker 4: Did to our careers. 37 00:01:56,280 --> 00:01:58,480 Speaker 3: But let's let's look at the gen Z situation right now, 38 00:01:58,560 --> 00:02:01,480 Speaker 3: because Clay, perhaps this is something you've addressed in your 39 00:02:01,560 --> 00:02:02,200 Speaker 3: upcoming book. 40 00:02:02,240 --> 00:02:02,559 Speaker 4: Pauls. 41 00:02:03,360 --> 00:02:10,320 Speaker 3: Men men are trending in a very clear direction in 42 00:02:10,360 --> 00:02:14,399 Speaker 3: that generation. So young men, young adult men right now. 43 00:02:15,040 --> 00:02:18,880 Speaker 3: This is from NBC News data young men who voted 44 00:02:18,960 --> 00:02:22,080 Speaker 3: for Trump. So Gen Z eighteen to twenty nine, who 45 00:02:22,200 --> 00:02:27,240 Speaker 3: voted for Trump, what is important to a personal definition 46 00:02:27,320 --> 00:02:32,200 Speaker 3: of success? Thirty four percent of them said having children, 47 00:02:32,720 --> 00:02:36,760 Speaker 3: thirty three percent, financial independence, thirty percent, fulfilling job career, 48 00:02:37,120 --> 00:02:40,720 Speaker 3: twenty nine percent being married. And then they go into 49 00:02:40,720 --> 00:02:44,160 Speaker 3: some other things, doing what you want, being grounded spiritually 50 00:02:44,200 --> 00:02:46,280 Speaker 3: twenty four percent. Got to get those are rookie numbers 51 00:02:46,320 --> 00:02:47,919 Speaker 3: on spiritual grant, but you know, we got to get 52 00:02:47,919 --> 00:02:51,200 Speaker 3: that up a little bit, making community proud, all this stuff, right, 53 00:02:52,720 --> 00:02:57,280 Speaker 3: women who voted for Harris, this is what was really stark. 54 00:02:57,320 --> 00:03:00,519 Speaker 3: So remember young men who vote for Trump, young women 55 00:03:00,520 --> 00:03:02,320 Speaker 3: who vote for Harris. That's what we're looking at here. 56 00:03:03,280 --> 00:03:07,120 Speaker 3: Fifty one percent said fulfilling job or career. That's the 57 00:03:07,200 --> 00:03:11,440 Speaker 3: number one thing by far. Fulfilling job, having money to 58 00:03:11,480 --> 00:03:15,639 Speaker 3: do what you want, forty six percent. Emotional stability, which 59 00:03:15,639 --> 00:03:17,280 Speaker 3: a lot of these women gotta work on, I gotta 60 00:03:17,280 --> 00:03:22,320 Speaker 3: tell you, thirty nine percent financial independence, thirty two percent 61 00:03:22,480 --> 00:03:26,440 Speaker 3: have it using your talents, thirty seven percent owning a 62 00:03:26,520 --> 00:03:29,799 Speaker 3: home twenty percent having children. 63 00:03:29,919 --> 00:03:31,400 Speaker 4: Clay and being. 64 00:03:31,040 --> 00:03:35,560 Speaker 3: Married were tied for them at the very bottom of 65 00:03:35,600 --> 00:03:41,920 Speaker 3: the list at six percent. This is a vision of 66 00:03:42,120 --> 00:03:45,720 Speaker 3: two paths for the genders in America as defined by 67 00:03:46,240 --> 00:03:51,040 Speaker 3: political affiliation today or separated by political affiliation today. All 68 00:03:51,080 --> 00:03:52,960 Speaker 3: these women who are voting for Harris, who are in 69 00:03:53,000 --> 00:03:57,920 Speaker 3: their twenties don't care at all about family formation, which 70 00:03:57,960 --> 00:04:00,960 Speaker 3: is stunning. Honestly, you see that day. Yeah, it is stunning. 71 00:04:01,840 --> 00:04:03,480 Speaker 1: I think it's a sign. 72 00:04:04,680 --> 00:04:07,920 Speaker 5: And this is probably gonna get clipped, so prepare yourselves 73 00:04:07,960 --> 00:04:08,640 Speaker 5: for the headline. 74 00:04:09,160 --> 00:04:11,120 Speaker 4: I love it when he does this. Where's media matters 75 00:04:11,120 --> 00:04:11,560 Speaker 4: go for it? 76 00:04:11,640 --> 00:04:15,040 Speaker 5: Yeah, I think it's a sign that women are have 77 00:04:15,120 --> 00:04:18,760 Speaker 5: been sold to mass delusion, a lot of young women. 78 00:04:19,080 --> 00:04:24,000 Speaker 5: And let me explain why. The only reason to want, 79 00:04:24,200 --> 00:04:29,040 Speaker 5: in my opinion, a fulfilling job and a career is 80 00:04:29,080 --> 00:04:33,040 Speaker 5: so you can afford to have a family. I look, 81 00:04:33,400 --> 00:04:38,720 Speaker 5: there are relatively few people whose careers are so important 82 00:04:38,880 --> 00:04:42,400 Speaker 5: that they change the world. Okay, if you told me 83 00:04:42,520 --> 00:04:46,200 Speaker 5: right now, Hey, Elon Musk, Yeah, he might not be 84 00:04:46,240 --> 00:04:49,160 Speaker 5: a great dad. I think he's an incredible he might 85 00:04:49,200 --> 00:04:50,880 Speaker 5: be a great dad. I'm not saying it's a negative, 86 00:04:51,040 --> 00:04:54,919 Speaker 5: but I'm saying like his career is so important potentially 87 00:04:55,000 --> 00:04:58,960 Speaker 5: to the future of the civilization that I can say, Okay, 88 00:04:59,120 --> 00:05:02,360 Speaker 5: that seems like a really good use of his time. 89 00:05:03,440 --> 00:05:06,840 Speaker 5: You would want, I think people who are supreme geniuses. 90 00:05:07,480 --> 00:05:10,080 Speaker 5: If you could you have two kids, or you could 91 00:05:10,120 --> 00:05:13,400 Speaker 5: solve cancer, I would submit to you. Ideally you could 92 00:05:13,440 --> 00:05:16,120 Speaker 5: do both, but if you had to choose, curing cancer 93 00:05:16,160 --> 00:05:20,280 Speaker 5: would be a better societal benefit than you having two kids. 94 00:05:20,839 --> 00:05:25,480 Speaker 5: Most people have jobs, though, not to cure cancer or 95 00:05:25,520 --> 00:05:28,560 Speaker 5: to solve all the issues that Evon Musk is trying 96 00:05:28,560 --> 00:05:30,719 Speaker 5: to solve, but just to be able to have the 97 00:05:30,800 --> 00:05:32,120 Speaker 5: resources to have children. 98 00:05:32,200 --> 00:05:35,200 Speaker 3: It's a means to an end to pay bills. That's 99 00:05:35,240 --> 00:05:37,640 Speaker 3: why you get paid for it. If it were fun, 100 00:05:37,920 --> 00:05:39,920 Speaker 3: they wouldn't have to pay you for it. Now, some 101 00:05:40,040 --> 00:05:42,560 Speaker 3: jobs like Clay and I are lucky. We both love 102 00:05:42,600 --> 00:05:44,839 Speaker 3: our jobs and we get paid for it. But it 103 00:05:44,880 --> 00:05:47,880 Speaker 3: took a long time to get to a place where 104 00:05:48,000 --> 00:05:51,440 Speaker 3: that was the case. And this is the reality for 105 00:05:51,480 --> 00:05:54,000 Speaker 3: a lot of women play right now. I saw this 106 00:05:54,040 --> 00:05:57,280 Speaker 3: from my graduating class at Amherst, Okay, at Emerson College. 107 00:05:57,800 --> 00:06:00,360 Speaker 3: There are all these women who at that time, we're 108 00:06:00,400 --> 00:06:05,560 Speaker 3: going into management consulting like McKenzie Baine remember where Mitt 109 00:06:05,640 --> 00:06:13,040 Speaker 3: Romney was, or they went into investment banking. That is 110 00:06:13,400 --> 00:06:16,839 Speaker 3: a situation where you are going to work eighty hours 111 00:06:16,880 --> 00:06:21,000 Speaker 3: a week for years and years and years to make money. 112 00:06:21,200 --> 00:06:24,400 Speaker 3: You are not curing cancer, you are not. All of 113 00:06:24,440 --> 00:06:27,560 Speaker 3: the women that I knew who went into that dropped out. 114 00:06:28,480 --> 00:06:31,039 Speaker 3: All of them dropped out because that is not the 115 00:06:31,080 --> 00:06:34,640 Speaker 3: way that they want to spend their lives. But society 116 00:06:34,720 --> 00:06:37,800 Speaker 3: had set them up for this. Society had convinced them 117 00:06:37,800 --> 00:06:38,880 Speaker 3: that this is what they should do. 118 00:06:39,960 --> 00:06:43,080 Speaker 5: I also think, and again, these are eighteen to twenty 119 00:06:43,160 --> 00:06:45,800 Speaker 5: nine year olds women who voted for Harris, men who 120 00:06:45,839 --> 00:06:49,800 Speaker 5: voted for Trump. I also think it is likely to 121 00:06:49,880 --> 00:06:53,919 Speaker 5: be the number one complaint of the Harris voting women 122 00:06:54,520 --> 00:06:57,640 Speaker 5: that they can't find good men worth dating and having 123 00:06:57,680 --> 00:07:01,320 Speaker 5: families with. But all of the young men who are 124 00:07:01,360 --> 00:07:04,960 Speaker 5: Trump voters actually want to get married and have kids, 125 00:07:05,520 --> 00:07:07,720 Speaker 5: and the women don't want to. And here's the other 126 00:07:07,760 --> 00:07:10,239 Speaker 5: thing about this that I think is indicative of having 127 00:07:10,280 --> 00:07:12,920 Speaker 5: been sold a false bill of goods. And by the way, 128 00:07:12,960 --> 00:07:15,760 Speaker 5: eight hundred and two two two eight a two, maybe 129 00:07:15,760 --> 00:07:18,000 Speaker 5: you are in this eighteen to twenty nine year old 130 00:07:18,400 --> 00:07:21,560 Speaker 5: female group and you want to react, maybe you are 131 00:07:21,600 --> 00:07:24,720 Speaker 5: in the male group. But what is interesting to me 132 00:07:24,760 --> 00:07:28,120 Speaker 5: about this as well, Buck, is the women should be 133 00:07:28,200 --> 00:07:32,080 Speaker 5: the ones focused on having children because and I don't 134 00:07:32,080 --> 00:07:34,960 Speaker 5: want to throw anybody into a full panic here, but 135 00:07:35,040 --> 00:07:38,080 Speaker 5: a twenty nine year old woman who hasn't gotten married 136 00:07:38,160 --> 00:07:42,560 Speaker 5: and hasn't had kids has a biological clock to worry 137 00:07:42,600 --> 00:07:45,600 Speaker 5: about that. A twenty nine year old man does not 138 00:07:45,880 --> 00:07:49,400 Speaker 5: have in the same way to worry about. So, if anything, 139 00:07:49,440 --> 00:07:54,200 Speaker 5: these should be flipped buck because women, because of biology, 140 00:07:54,600 --> 00:07:58,160 Speaker 5: have to think about having children at younger ages than 141 00:07:58,200 --> 00:07:58,560 Speaker 5: men do. 142 00:07:59,280 --> 00:08:02,880 Speaker 3: If you're over thirty, it's a geriatric it's officially medically 143 00:08:02,920 --> 00:08:06,680 Speaker 3: a geriatric pregnancy. That's what they call it, a geriatric pregnancy. 144 00:08:07,360 --> 00:08:11,040 Speaker 3: And the risks factors go up all across. They should 145 00:08:11,040 --> 00:08:13,360 Speaker 3: tell people this in schools. By the way, I didn't 146 00:08:13,400 --> 00:08:15,000 Speaker 3: learn this stuff until I was an adult, to be 147 00:08:15,040 --> 00:08:18,000 Speaker 3: honest with you, I didn't know all the things, all 148 00:08:18,040 --> 00:08:19,200 Speaker 3: the risk factors that increase. 149 00:08:19,280 --> 00:08:19,360 Speaker 5: Now. 150 00:08:19,360 --> 00:08:21,360 Speaker 3: I'm not saying that that people can make their own 151 00:08:21,360 --> 00:08:22,960 Speaker 3: life choices. Some people just want to have a career, 152 00:08:22,960 --> 00:08:25,080 Speaker 3: some people don't have a family. It's not about denying 153 00:08:25,080 --> 00:08:27,640 Speaker 3: anybody a choice. It's about giving them the facts and 154 00:08:27,680 --> 00:08:30,440 Speaker 3: the reality of what is likely and what is true 155 00:08:30,560 --> 00:08:33,240 Speaker 3: in general or true in the aggregate about these things. 156 00:08:33,800 --> 00:08:37,439 Speaker 3: And for most women, I mean, I'll put it this way, Clay, 157 00:08:37,800 --> 00:08:40,320 Speaker 3: most guys that I know, if they weren't trying to 158 00:08:41,000 --> 00:08:44,600 Speaker 3: date and orget, you know, date and get married, would. 159 00:08:44,400 --> 00:08:45,440 Speaker 4: Work a lot less hard. 160 00:08:46,080 --> 00:08:48,600 Speaker 3: Yeah, they'd spend a lot more time in leisure and whatever. 161 00:08:48,679 --> 00:08:51,720 Speaker 3: But they want to build something. They want to be providers. 162 00:08:51,760 --> 00:08:56,320 Speaker 3: There's something instinctive and instinctual for men about this. For women, 163 00:08:56,800 --> 00:09:01,760 Speaker 3: they are generally not always generally set up differently for 164 00:09:01,880 --> 00:09:05,240 Speaker 3: what will be a successful and happy life path. 165 00:09:05,440 --> 00:09:06,560 Speaker 4: But the influences. 166 00:09:06,600 --> 00:09:10,360 Speaker 3: Now, you grew up in a more traditional Americana place 167 00:09:10,400 --> 00:09:12,000 Speaker 3: than I did, so I can speak from the New 168 00:09:12,080 --> 00:09:15,640 Speaker 3: York City perspective, which is the same in Los Angeles, 169 00:09:15,679 --> 00:09:19,280 Speaker 3: and very similar in Chicago, and very similar in d C. 170 00:09:19,600 --> 00:09:22,480 Speaker 3: And you know these urban centers where the women of 171 00:09:22,520 --> 00:09:23,680 Speaker 3: my generation. 172 00:09:23,320 --> 00:09:26,520 Speaker 4: Were all told you need to be you need to. 173 00:09:26,520 --> 00:09:28,640 Speaker 3: Compete with men in the workplace, you need to spend 174 00:09:28,679 --> 00:09:30,640 Speaker 3: the same kind of hours. You need to put your 175 00:09:30,679 --> 00:09:33,360 Speaker 3: career first and figure out family later. And I have 176 00:09:33,440 --> 00:09:35,719 Speaker 3: seen it now that I'm in my forties. This has 177 00:09:35,760 --> 00:09:40,120 Speaker 3: resulted in life path disappointment and in some cases devastation 178 00:09:40,240 --> 00:09:43,920 Speaker 3: for a lot of very talented and you know, wonderful 179 00:09:43,960 --> 00:09:47,120 Speaker 3: young women who now can have families or never had 180 00:09:47,120 --> 00:09:48,920 Speaker 3: a family, and they want to. I'm not talking to 181 00:09:48,920 --> 00:09:51,560 Speaker 3: the people that don't want to. They want to, but 182 00:09:51,600 --> 00:09:53,200 Speaker 3: they got their timelines mixed up. 183 00:09:53,240 --> 00:09:53,680 Speaker 4: I see this. 184 00:09:53,800 --> 00:09:56,000 Speaker 3: Women who vote for Harris Thing and none of them 185 00:09:56,000 --> 00:09:58,839 Speaker 3: care about being married or having children. They're going to 186 00:09:58,960 --> 00:10:02,000 Speaker 3: change their also for what you can be the first 187 00:10:02,000 --> 00:10:04,800 Speaker 3: female VP at the marketing firm at age thirty five 188 00:10:04,920 --> 00:10:08,680 Speaker 3: or at age forty. You think that that's guys generally 189 00:10:08,720 --> 00:10:10,920 Speaker 3: want to do that so they can have a wife 190 00:10:11,200 --> 00:10:12,880 Speaker 3: and kids that they can provide for. 191 00:10:13,400 --> 00:10:20,640 Speaker 5: Yes, what you are aspiring to to be a suit 192 00:10:20,720 --> 00:10:25,760 Speaker 5: in middle management is what people usually do so they 193 00:10:25,800 --> 00:10:29,079 Speaker 5: can have kids. And when I look at this, I 194 00:10:29,200 --> 00:10:32,480 Speaker 5: just think that young women have been sold a bill 195 00:10:32,559 --> 00:10:34,520 Speaker 5: of goods on what the goal. 196 00:10:34,360 --> 00:10:35,080 Speaker 1: Of life is. 197 00:10:36,200 --> 00:10:40,520 Speaker 5: Because if your goal is just to a mass job 198 00:10:40,600 --> 00:10:45,840 Speaker 5: title and then die by yourself, okay, that seems kind 199 00:10:45,880 --> 00:10:50,840 Speaker 5: of lonely. It seems not very fulfilling. And I just 200 00:10:51,000 --> 00:10:54,520 Speaker 5: think that a lot of young women and I think, frankly, Buck, 201 00:10:54,600 --> 00:10:58,160 Speaker 5: this is what you're seeing these women they get older, 202 00:10:59,080 --> 00:11:03,920 Speaker 5: they deep inside this is me psychoanalyzing, They deeply inside 203 00:11:04,080 --> 00:11:07,240 Speaker 5: reject some of the choices that they made to give 204 00:11:07,360 --> 00:11:10,319 Speaker 5: up a family to be to your point of VP 205 00:11:10,600 --> 00:11:14,440 Speaker 5: in a bland accounting firm or something. No offense to 206 00:11:14,440 --> 00:11:16,520 Speaker 5: everybody out there working in accounting, but I don't think 207 00:11:16,520 --> 00:11:19,240 Speaker 5: people are doing cartwheels into the accounting office every day 208 00:11:19,240 --> 00:11:21,480 Speaker 5: because they feel like they're changing the world in such 209 00:11:21,520 --> 00:11:27,719 Speaker 5: a positive way, and they make politics their life's focus 210 00:11:28,320 --> 00:11:32,040 Speaker 5: because they have to pour their energy and their soul 211 00:11:32,480 --> 00:11:37,240 Speaker 5: and their them and vigor and vitality into something and 212 00:11:37,280 --> 00:11:40,640 Speaker 5: it's not motherhood and instead it's Donald Trump as Hitler. 213 00:11:41,040 --> 00:11:43,200 Speaker 5: I thought about this gen Z thing when I saw 214 00:11:43,360 --> 00:11:46,040 Speaker 5: Trump goes to a steakhouse and there's just a bunch 215 00:11:46,120 --> 00:11:48,880 Speaker 5: of chicks that show up and scream a chant that 216 00:11:48,920 --> 00:11:51,600 Speaker 5: he's Hitler to him. And you can watch Trump walk 217 00:11:51,679 --> 00:11:55,000 Speaker 5: over and kind of look at him like, you chicks 218 00:11:55,000 --> 00:11:57,000 Speaker 5: are crazy, Like you can kind of see it, as 219 00:11:57,200 --> 00:12:00,320 Speaker 5: I guarantee you, in his head, he's like, what are 220 00:12:00,320 --> 00:12:04,160 Speaker 5: these girls doing? Like how is your life's ambition to 221 00:12:04,280 --> 00:12:07,040 Speaker 5: show up when somebody's eating at a steakhouse and call 222 00:12:07,120 --> 00:12:10,280 Speaker 5: him Hitler. I think you've given up the plot on life, 223 00:12:10,360 --> 00:12:11,360 Speaker 5: And I think you're des. 224 00:12:11,240 --> 00:12:14,480 Speaker 3: A lot of a lot of projection. The psychologists would 225 00:12:14,480 --> 00:12:20,640 Speaker 3: call it of their frustration that they externalize in order 226 00:12:20,720 --> 00:12:25,120 Speaker 3: to avoid dealing with the realities of the choices that 227 00:12:25,160 --> 00:12:27,360 Speaker 3: they have made. So Trump is Hitler. Gives them something 228 00:12:27,360 --> 00:12:30,280 Speaker 3: to feel bigger than themselves and like they they're a 229 00:12:30,360 --> 00:12:33,000 Speaker 3: part of something because a lot of them, the choices 230 00:12:33,040 --> 00:12:34,880 Speaker 3: that they have made, don't let them feel that. 231 00:12:34,800 --> 00:12:37,400 Speaker 4: Way day in and day out, you know. 232 00:12:37,520 --> 00:12:40,000 Speaker 3: I mean I tell my friends this, and my family 233 00:12:40,080 --> 00:12:42,880 Speaker 3: is play at the most basic level, not getting into 234 00:12:42,880 --> 00:12:45,320 Speaker 3: the spiritual and you know, being a Catholic who's trying 235 00:12:45,360 --> 00:12:47,440 Speaker 3: to now become actually more of a of a real 236 00:12:47,480 --> 00:12:49,440 Speaker 3: Catholic and going back to the church, but just a 237 00:12:49,520 --> 00:12:51,760 Speaker 3: on a basic day to day level. I just think 238 00:12:51,800 --> 00:12:56,160 Speaker 3: that take care of your people is my basic life philosophy. Obviously, 239 00:12:56,200 --> 00:12:59,560 Speaker 3: your family first and then the people around you, and that. 240 00:12:59,480 --> 00:13:00,680 Speaker 1: Can keep you really busy. 241 00:13:00,880 --> 00:13:03,520 Speaker 3: If you're actually doing that. If you're taking care of 242 00:13:03,559 --> 00:13:06,880 Speaker 3: your people, you really don't have time like those sad 243 00:13:06,920 --> 00:13:09,400 Speaker 3: people we saw in DC at the inauguration to be 244 00:13:09,480 --> 00:13:12,800 Speaker 3: out in the freezing cold for six hours shouting about 245 00:13:12,800 --> 00:13:15,080 Speaker 3: how Trump is hitler with nobody listening, you know. Yeah, 246 00:13:15,080 --> 00:13:17,640 Speaker 3: but if you don't have that and you're not taking 247 00:13:17,640 --> 00:13:19,080 Speaker 3: care of you, and I don't just mean having kids, 248 00:13:19,080 --> 00:13:21,000 Speaker 3: and some people can't have kids, and we're sensitive to that, 249 00:13:21,080 --> 00:13:24,800 Speaker 3: of course, but the people around you making decisions to 250 00:13:25,160 --> 00:13:30,000 Speaker 3: be meaningful in their lives and to have that consideration 251 00:13:30,120 --> 00:13:32,040 Speaker 3: and that discipline in your day to day. That's hard 252 00:13:32,559 --> 00:13:35,280 Speaker 3: showing up with your purple hair and you're screaming and 253 00:13:35,320 --> 00:13:38,920 Speaker 3: you're you know you, Trump is is is the Antichrist, 254 00:13:39,040 --> 00:13:40,560 Speaker 3: although they probably wouldn't put it that way. 255 00:13:41,040 --> 00:13:44,960 Speaker 4: He's hitler. That's easy, that's just that's just narcissism. 256 00:13:45,480 --> 00:13:47,360 Speaker 5: Here's a question for you as we go to break 257 00:13:47,400 --> 00:13:49,120 Speaker 5: and I'd be curious to hear from people again. This 258 00:13:49,200 --> 00:13:51,559 Speaker 5: is an NBC News poll eighteen to twenty nine year 259 00:13:51,559 --> 00:13:54,280 Speaker 5: old voters what they care about, male and female? How 260 00:13:54,320 --> 00:13:58,040 Speaker 5: many women are lying? Because when I saw these numbers, 261 00:13:58,120 --> 00:14:03,480 Speaker 5: I'm like, how many women feel bad to say, hey, 262 00:14:03,520 --> 00:14:07,440 Speaker 5: what matters to me is getting married and having kids 263 00:14:07,720 --> 00:14:10,720 Speaker 5: because they feel like they're turning their back on feminism 264 00:14:11,120 --> 00:14:14,840 Speaker 5: if they say that, and so they're just lying because 265 00:14:14,880 --> 00:14:17,880 Speaker 5: they think other people want to hear. It's crazy to 266 00:14:17,920 --> 00:14:20,960 Speaker 5: me that fifty one percent of people would say my 267 00:14:21,160 --> 00:14:23,200 Speaker 5: career is my top priority. 268 00:14:24,360 --> 00:14:24,960 Speaker 4: I don't know, man. 269 00:14:25,040 --> 00:14:27,040 Speaker 3: I had when before I met my wife and the 270 00:14:27,080 --> 00:14:29,640 Speaker 3: love of my life, I had women bail on dates 271 00:14:29,640 --> 00:14:31,320 Speaker 3: that I'd ask them out on because they found out 272 00:14:31,320 --> 00:14:33,680 Speaker 3: that I was a trumper. So they said, look, you 273 00:14:33,800 --> 00:14:37,160 Speaker 3: may be incredibly charming and have amazing hair, but you 274 00:14:37,280 --> 00:14:40,240 Speaker 3: voted for Trump and I have to back out of this. 275 00:14:40,360 --> 00:14:40,560 Speaker 4: Now. 276 00:14:40,640 --> 00:14:42,280 Speaker 3: They didn't say that first part, but that's what they 277 00:14:42,280 --> 00:14:44,800 Speaker 3: were thinking. So I'm just saying some of these ladies 278 00:14:44,840 --> 00:14:45,680 Speaker 3: are crazy. 279 00:14:45,680 --> 00:14:47,760 Speaker 5: I think, and some of them are crazy. I think 280 00:14:47,800 --> 00:14:52,040 Speaker 5: women are more susceptible to worrying about what others think 281 00:14:52,440 --> 00:14:55,320 Speaker 5: in general than men are, and so I wonder whether 282 00:14:55,320 --> 00:14:58,120 Speaker 5: they're being honest in their responses. Welcome back in Clay 283 00:14:58,120 --> 00:15:01,320 Speaker 5: Travis buck Sexton show Buck. I do write a ton 284 00:15:01,400 --> 00:15:03,120 Speaker 5: about this because I've been thinking about it a lot, 285 00:15:03,160 --> 00:15:07,720 Speaker 5: and ultimately, the disconnect between men and women is leading 286 00:15:07,760 --> 00:15:09,080 Speaker 5: to no babies. 287 00:15:09,680 --> 00:15:09,880 Speaker 1: Right. 288 00:15:10,000 --> 00:15:15,280 Speaker 5: The overall population in Western civilization is collapsing. Women and 289 00:15:15,400 --> 00:15:17,280 Speaker 5: men are not having babies. You got to have two 290 00:15:17,360 --> 00:15:21,960 Speaker 5: point one male or female in union ideally in order 291 00:15:22,000 --> 00:15:26,400 Speaker 5: to replace yourself. Right, that's not happening. And when we 292 00:15:26,480 --> 00:15:28,240 Speaker 5: are not having babies, I think a lot of people 293 00:15:28,240 --> 00:15:30,720 Speaker 5: sit back and say, Okay, what is causing this? And 294 00:15:30,800 --> 00:15:33,080 Speaker 5: tons of you are weighing in. I write about it 295 00:15:33,120 --> 00:15:37,920 Speaker 5: a lot in Balls my very under trying to Think 296 00:15:38,400 --> 00:15:41,920 Speaker 5: under the radar title about gender roles and how they 297 00:15:41,960 --> 00:15:44,560 Speaker 5: impacted the election and how Trump went on and won. 298 00:15:44,640 --> 00:15:47,360 Speaker 5: You can find it, you can pre order it, but 299 00:15:47,520 --> 00:15:49,720 Speaker 5: we're going to take a bunch of your reactions because 300 00:15:49,720 --> 00:15:53,080 Speaker 5: we are flooded with people out there who are saying yes. 301 00:15:53,320 --> 00:15:57,680 Speaker 5: And I know unit every generation thinks, Hey, things are 302 00:15:57,680 --> 00:16:01,480 Speaker 5: different for us, things are more challenging. Actually reflects that 303 00:16:02,040 --> 00:16:04,560 Speaker 5: people are not getting together and they're not having babies 304 00:16:04,560 --> 00:16:06,480 Speaker 5: on a level that we've never seen in the history 305 00:16:06,480 --> 00:16:08,960 Speaker 5: of America before. So I think this is a thing 306 00:16:09,200 --> 00:16:11,080 Speaker 5: and we will talk about it when we come back. 307 00:16:11,120 --> 00:16:14,600 Speaker 5: And Hey, I'm Klay Travis and I'm Buck Sexton. 308 00:16:14,680 --> 00:16:16,840 Speaker 4: You know what we're thankful for this year, all of you. 309 00:16:17,240 --> 00:16:17,760 Speaker 1: That's right. 310 00:16:17,880 --> 00:16:21,480 Speaker 5: We have the best radio audience in the country, hands down. 311 00:16:21,680 --> 00:16:24,800 Speaker 3: Sending a big, warm and happy Thanksgiving from the Clay 312 00:16:24,800 --> 00:16:27,600 Speaker 3: and Buck Show. All right, welcome back into Clay Unbuck. 313 00:16:27,680 --> 00:16:29,440 Speaker 3: Every line lit and we're going to just rack and 314 00:16:29,480 --> 00:16:32,640 Speaker 3: stack calls here because there's a passionate topic about life 315 00:16:32,760 --> 00:16:36,120 Speaker 3: choices of young Americans right now. What's important to them. 316 00:16:36,480 --> 00:16:38,600 Speaker 3: If you're a guy you voted for Trump, Yeah, you 317 00:16:38,600 --> 00:16:42,240 Speaker 3: want a career, but family, super important, kids, super important. 318 00:16:42,520 --> 00:16:45,520 Speaker 3: Women who voted for Kamala Harris, according to these numbers 319 00:16:45,520 --> 00:16:47,200 Speaker 3: and Clay said, maybe they're just saying what they should, 320 00:16:47,200 --> 00:16:49,480 Speaker 3: which is there's probably some of that, but the numbers 321 00:16:49,560 --> 00:16:52,000 Speaker 3: are I mean, they care more about where they're getting 322 00:16:52,000 --> 00:16:53,440 Speaker 3: their nails done than whether they're ever going to be 323 00:16:53,480 --> 00:16:55,320 Speaker 3: married or have kids. Based on this data, it is, 324 00:16:55,360 --> 00:16:58,640 Speaker 3: it is outrageous stuff. They care a lot about their 325 00:16:58,880 --> 00:17:03,160 Speaker 3: about their career. All right, we have Stacy first up here. 326 00:17:03,200 --> 00:17:06,000 Speaker 3: You are a mother of twelve in Minnesota. Did I 327 00:17:06,040 --> 00:17:08,280 Speaker 3: get that right? You are a mom of a dozen? 328 00:17:09,160 --> 00:17:09,960 Speaker 6: Yes, yep. 329 00:17:11,000 --> 00:17:13,040 Speaker 1: Wow, that is incredible. So what age did you have 330 00:17:13,080 --> 00:17:13,880 Speaker 1: your first baby? 331 00:17:15,800 --> 00:17:19,000 Speaker 6: I would have been twenty four when I had my 332 00:17:19,080 --> 00:17:19,760 Speaker 6: first son. 333 00:17:19,760 --> 00:17:22,760 Speaker 5: And so you have continued and had baby that that's incredible. 334 00:17:22,800 --> 00:17:25,040 Speaker 1: Okay, So how many of those are daughters? 335 00:17:25,480 --> 00:17:27,639 Speaker 6: We have seven girls and five boys. 336 00:17:27,920 --> 00:17:29,720 Speaker 1: Okay, so I'm fascinated. 337 00:17:29,760 --> 00:17:33,520 Speaker 5: What are you telling all of these kids and what 338 00:17:33,600 --> 00:17:37,400 Speaker 5: do you see from them as it pertains to gender identity, 339 00:17:37,440 --> 00:17:41,640 Speaker 5: gender roles, all these different things that you are you're 340 00:17:41,640 --> 00:17:42,080 Speaker 5: an expert. 341 00:17:42,119 --> 00:17:45,960 Speaker 1: If you got seven of one and five of the other, well. 342 00:17:45,800 --> 00:17:49,240 Speaker 6: Yeah, so you know, we just point them to the 343 00:17:49,280 --> 00:17:52,040 Speaker 6: Lord for the first and foremost, he's the one who 344 00:17:52,160 --> 00:17:54,600 Speaker 6: He's the one who gave him to us, and we're 345 00:17:54,640 --> 00:17:57,240 Speaker 6: just they're just on loan, and so we need to 346 00:17:57,440 --> 00:18:00,480 Speaker 6: raise them to go into the world and to be 347 00:18:00,520 --> 00:18:03,119 Speaker 6: able to know the truth, which is only found in 348 00:18:03,200 --> 00:18:07,320 Speaker 6: His word, and also to you know, to be able 349 00:18:07,359 --> 00:18:10,160 Speaker 6: to decipher, to be able to think critically, because obviously 350 00:18:10,760 --> 00:18:12,840 Speaker 6: nowadays that's kind of become a lost art. 351 00:18:14,080 --> 00:18:15,959 Speaker 4: Can I can I ask you? I'm curious about this. 352 00:18:16,640 --> 00:18:18,960 Speaker 3: I want to ask about the pressure if your your 353 00:18:18,960 --> 00:18:23,439 Speaker 3: girls feel pressure to delay family formation in order to 354 00:18:23,480 --> 00:18:26,360 Speaker 3: do more career stuff. Maybe you can tackle that one first. 355 00:18:26,359 --> 00:18:27,960 Speaker 3: But I also just have to throw in there. Do 356 00:18:27,960 --> 00:18:30,320 Speaker 3: you guys travel in like a like a motorcade? Like 357 00:18:30,320 --> 00:18:31,720 Speaker 3: how do you do that? You've do you have a 358 00:18:31,720 --> 00:18:34,719 Speaker 3: few suburbans, you know, like that when the president moves. 359 00:18:34,800 --> 00:18:36,040 Speaker 4: I'm just curious. 360 00:18:37,040 --> 00:18:39,520 Speaker 6: Yeah, that's a good question. We have an express fan, 361 00:18:39,680 --> 00:18:42,159 Speaker 6: so yeah, it's it's like a mini bus basically is 362 00:18:42,280 --> 00:18:44,520 Speaker 6: kind of you know what you would can call it. 363 00:18:44,560 --> 00:18:46,480 Speaker 6: I would say it's fun. 364 00:18:46,560 --> 00:18:49,040 Speaker 3: That's funny. You have all your kids on the bus together, like, 365 00:18:49,119 --> 00:18:50,400 Speaker 3: that's that's a good time. 366 00:18:50,880 --> 00:18:53,120 Speaker 6: Right, And and obviously we have two that just got 367 00:18:53,119 --> 00:18:55,399 Speaker 6: married this past summer, so you know they're starting to 368 00:18:55,480 --> 00:18:59,560 Speaker 6: leave the nest and and and they're definitely looking forward 369 00:18:59,560 --> 00:19:00,639 Speaker 6: to having their own children. 370 00:19:00,720 --> 00:19:03,040 Speaker 3: So yes, but do your girls feel like there's a 371 00:19:03,080 --> 00:19:05,560 Speaker 3: lot of pressure on them socially to delay, you know, 372 00:19:05,640 --> 00:19:07,359 Speaker 3: do you ever pick that up from them that they 373 00:19:07,359 --> 00:19:09,320 Speaker 3: feel like, oh, you know, at first I have to 374 00:19:09,359 --> 00:19:12,000 Speaker 3: make VP at the at the accounting firm before I 375 00:19:12,000 --> 00:19:15,240 Speaker 3: could even think about getting married. Or not so much, no, 376 00:19:15,359 --> 00:19:15,960 Speaker 3: not so much. 377 00:19:16,119 --> 00:19:20,199 Speaker 6: No, they they embrace the role as a woman, you know, 378 00:19:20,280 --> 00:19:22,560 Speaker 6: and that doesn't and that doesn't have to be competing 379 00:19:22,600 --> 00:19:25,280 Speaker 6: with men. And I think that's where our culture has 380 00:19:25,320 --> 00:19:27,760 Speaker 6: gone wrong. We feel like we have to compete with men, 381 00:19:28,440 --> 00:19:32,359 Speaker 6: which we all have our different talents and abilities and gifts. 382 00:19:32,400 --> 00:19:36,240 Speaker 6: And why don't we embrace, you know, being a woman, 383 00:19:36,359 --> 00:19:38,000 Speaker 6: because I mean, I don't sure don't want to be 384 00:19:38,040 --> 00:19:40,879 Speaker 6: a man, like I wouldn't want his responsibilities in certain 385 00:19:40,920 --> 00:19:45,000 Speaker 6: areas and he can't have children, right, we know biologically 386 00:19:45,040 --> 00:19:48,120 Speaker 6: that a man can't have a child. So like there's 387 00:19:48,160 --> 00:19:50,520 Speaker 6: a reason God gave us different roles. And I mean, 388 00:19:50,560 --> 00:19:53,960 Speaker 6: I'm not saying there's different situations for different people, but 389 00:19:55,119 --> 00:19:57,600 Speaker 6: I think the more we fight against the way we 390 00:19:57,640 --> 00:20:00,480 Speaker 6: are created, that's why we're in the trouble. We'riten this world. 391 00:20:01,359 --> 00:20:04,960 Speaker 4: Thank you, thank you so much. And that's that's incredible. 392 00:20:04,960 --> 00:20:07,159 Speaker 3: And uh and Elon would be would be proud of 393 00:20:07,160 --> 00:20:09,440 Speaker 3: you for helping to repopulate the world. You're doing more 394 00:20:09,440 --> 00:20:11,320 Speaker 3: than your part. So God bless and thank you so 395 00:20:11,400 --> 00:20:12,200 Speaker 3: much for calling in. 396 00:20:12,720 --> 00:20:14,720 Speaker 4: Uh. Let's twelve kids. 397 00:20:14,920 --> 00:20:19,720 Speaker 5: Yeah, that's an incredible accomplishment. Darcy in Houston, she said 398 00:20:19,720 --> 00:20:22,800 Speaker 5: she's got a couple of gen Z girls. Darcy, what 399 00:20:22,840 --> 00:20:23,919 Speaker 5: do you see? 400 00:20:25,600 --> 00:20:28,440 Speaker 7: I have two gen Z girls. I have a senior 401 00:20:28,480 --> 00:20:31,439 Speaker 7: in high school and a senior in college. And we 402 00:20:31,600 --> 00:20:36,439 Speaker 7: have raised both of our girls to understand that you 403 00:20:36,480 --> 00:20:39,639 Speaker 7: don't have life balance in the day to day, you 404 00:20:39,720 --> 00:20:44,320 Speaker 7: have life balance in the cycle of life. So you know, 405 00:20:44,359 --> 00:20:48,600 Speaker 7: I was advanced maternal age, but on both of our girls, 406 00:20:48,880 --> 00:20:52,080 Speaker 7: and so I like I had a bit of a career. 407 00:20:52,200 --> 00:20:55,800 Speaker 7: Then I stepped away. I took time to be with 408 00:20:55,840 --> 00:20:59,120 Speaker 7: our kids. I homeschooled them. The oldest graduated from home school. 409 00:20:59,200 --> 00:21:03,000 Speaker 7: She's now Texas and University College of Civil Engineering. And 410 00:21:03,080 --> 00:21:05,960 Speaker 7: now I haven't gone back to work full time, but 411 00:21:06,000 --> 00:21:09,399 Speaker 7: I work on our investments in our real estate portfolio, 412 00:21:09,400 --> 00:21:14,080 Speaker 7: and we have three passive investments. We have numerous single 413 00:21:14,080 --> 00:21:16,679 Speaker 7: family homes and we're looking at an apartment complex. So 414 00:21:16,720 --> 00:21:21,159 Speaker 7: you have to understand that the balance of life is 415 00:21:21,480 --> 00:21:24,359 Speaker 7: day to day. I mean, I've been a university professor overseas, 416 00:21:24,400 --> 00:21:28,200 Speaker 7: We've lived in four different countries. It's life has been 417 00:21:28,240 --> 00:21:32,720 Speaker 7: an adventure, and both of our girls look forward to 418 00:21:33,520 --> 00:21:37,000 Speaker 7: achieving a balance that fits who they are and who 419 00:21:37,320 --> 00:21:40,280 Speaker 7: that eventual partner husband in their life is. 420 00:21:41,880 --> 00:21:45,040 Speaker 5: Do you think that they're more challenged in their generation 421 00:21:45,200 --> 00:21:47,560 Speaker 5: than you were in yours with balancing that? 422 00:21:48,600 --> 00:21:48,800 Speaker 6: Oh? 423 00:21:48,840 --> 00:21:52,320 Speaker 7: Absolutely. And the reason that I say that is because 424 00:21:52,760 --> 00:21:56,080 Speaker 7: I am Clay. I'm older than you. You're a young buck. 425 00:21:56,480 --> 00:22:01,920 Speaker 7: In my world, I was born in sixteen nine, and dating, 426 00:22:02,200 --> 00:22:04,960 Speaker 7: I think the huge challenge right now is dating. My 427 00:22:05,400 --> 00:22:10,280 Speaker 7: oldest had a boyfriend, but and my youngest everything is groups. 428 00:22:10,320 --> 00:22:12,720 Speaker 7: And I'm sure you see that with your boys. Everything 429 00:22:12,800 --> 00:22:17,720 Speaker 7: is a group date. Very seldom do you have that 430 00:22:18,280 --> 00:22:20,520 Speaker 7: one on one and even if it's a one on 431 00:22:20,520 --> 00:22:26,040 Speaker 7: one boyfriend girlfriend, there's still a group. Everything is group, 432 00:22:26,160 --> 00:22:29,720 Speaker 7: and so that opportunity to get to know someone individually 433 00:22:30,320 --> 00:22:33,640 Speaker 7: is being lost in that generation and that's something that's 434 00:22:33,840 --> 00:22:36,720 Speaker 7: really hard for parents to overcome. 435 00:22:37,640 --> 00:22:38,919 Speaker 5: Thank you for the call, Buck, I don't know if 436 00:22:38,920 --> 00:22:41,760 Speaker 5: I've told you this. One of my kids, I won't 437 00:22:41,760 --> 00:22:45,960 Speaker 5: say which one was talking to a girl and I said, well, 438 00:22:45,960 --> 00:22:49,240 Speaker 5: you should just go get pizza with her, and I 439 00:22:49,240 --> 00:22:52,119 Speaker 5: think this is emblematic of their generation in general. He 440 00:22:52,280 --> 00:22:57,480 Speaker 5: was like just the two of us, and I was like, yeah, yeah. 441 00:22:58,720 --> 00:23:01,520 Speaker 5: It was like they like to call me an unk. 442 00:23:02,040 --> 00:23:04,840 Speaker 5: It was like I had given the most unk advice 443 00:23:04,920 --> 00:23:07,919 Speaker 5: of all time. Was like, well, you know, instead of 444 00:23:08,040 --> 00:23:11,280 Speaker 5: just talking on the phone and not actually seeing each 445 00:23:11,280 --> 00:23:13,240 Speaker 5: other in person, you should. 446 00:23:13,040 --> 00:23:16,159 Speaker 1: Just go have pizza together. And I just remember just 447 00:23:16,280 --> 00:23:17,320 Speaker 1: the two of us. 448 00:23:17,800 --> 00:23:22,480 Speaker 5: To her point, it is all group gatherings and or 449 00:23:22,720 --> 00:23:26,480 Speaker 5: not gathering at all because they're on their cell phones. 450 00:23:26,600 --> 00:23:29,120 Speaker 5: And here's the other thing. And I know this has 451 00:23:29,160 --> 00:23:35,160 Speaker 5: become huge all over the country. Everyone I knew when 452 00:23:35,200 --> 00:23:38,240 Speaker 5: you turn sixteen years old, this may be a little 453 00:23:38,280 --> 00:23:39,879 Speaker 5: bit different for you in New York City because you 454 00:23:39,880 --> 00:23:43,080 Speaker 5: guys got out and about without cars. Everybody I knew. 455 00:23:43,119 --> 00:23:46,480 Speaker 5: It wasn't just when you turned sixteen. It was your 456 00:23:46,600 --> 00:23:50,359 Speaker 5: oldest best friend who could suddenly take you in a 457 00:23:50,440 --> 00:23:52,639 Speaker 5: car and you could go to the movies, or you 458 00:23:52,680 --> 00:23:54,520 Speaker 5: could go to the mall, or you could go to 459 00:23:54,560 --> 00:23:56,960 Speaker 5: a fast food restaurant, or you could go to a 460 00:23:57,000 --> 00:24:00,719 Speaker 5: sporting event together to go watch it was there's a 461 00:24:00,960 --> 00:24:05,360 Speaker 5: level of liberation that we all desperately craved and counted 462 00:24:05,440 --> 00:24:08,240 Speaker 5: down the days until it could happen. We all knew 463 00:24:08,280 --> 00:24:11,080 Speaker 5: when somebody was going to take their driver's test, we 464 00:24:11,160 --> 00:24:16,320 Speaker 5: all knew when somebody was getting their permit. Nobody cares. 465 00:24:17,080 --> 00:24:20,000 Speaker 5: Kids today are like, eh, I can get a license 466 00:24:20,119 --> 00:24:20,600 Speaker 5: or I could not. 467 00:24:21,119 --> 00:24:21,280 Speaker 1: Now. 468 00:24:21,320 --> 00:24:26,159 Speaker 5: Partly, I think it's a reality of uber and the 469 00:24:26,200 --> 00:24:31,359 Speaker 5: fact that we're in different communications and so all of 470 00:24:31,400 --> 00:24:35,800 Speaker 5: that factors in, I think in a significant way. But 471 00:24:36,960 --> 00:24:39,760 Speaker 5: that in and of itself, I think is a sign 472 00:24:39,880 --> 00:24:43,560 Speaker 5: of how the culture has changed in a significant way. 473 00:24:43,720 --> 00:24:46,440 Speaker 5: We just had the call Christy. Was it Christy who 474 00:24:46,440 --> 00:24:50,440 Speaker 5: called in from Utah? She was talking about the job 475 00:24:50,480 --> 00:24:53,480 Speaker 5: market she works in HR and the challenges that she 476 00:24:53,640 --> 00:24:56,600 Speaker 5: is seeing. I'm sure that many of you who are 477 00:24:56,600 --> 00:24:58,720 Speaker 5: looking for jobs have seen the same thing. Here's what 478 00:24:58,760 --> 00:25:01,119 Speaker 5: I think is going on, Buck. You can sign on 479 00:25:01,320 --> 00:25:04,439 Speaker 5: or not sign on to this. I think that AI 480 00:25:06,160 --> 00:25:13,840 Speaker 5: is going to be incredibly transformative for many different companies 481 00:25:13,880 --> 00:25:17,560 Speaker 5: out there, and I actually think that some of the 482 00:25:17,680 --> 00:25:22,640 Speaker 5: jobs that are being pushed aside right now are actually 483 00:25:22,720 --> 00:25:25,760 Speaker 5: more white collar than blue collar in nature. 484 00:25:26,160 --> 00:25:27,720 Speaker 1: And so there are certain jobs. 485 00:25:27,800 --> 00:25:30,159 Speaker 5: Let's say you're a plumber right now, I don't think 486 00:25:30,200 --> 00:25:33,000 Speaker 5: there's AI plumbing that is taking away your job. I 487 00:25:33,040 --> 00:25:35,959 Speaker 5: don't think that if you're a roofer, there's AI roofing 488 00:25:36,040 --> 00:25:37,560 Speaker 5: that is changing what you're doing. 489 00:25:37,600 --> 00:25:39,440 Speaker 1: Truck driving, so far, all those. 490 00:25:39,240 --> 00:25:42,720 Speaker 5: Things quote unquote blue collar jobs, working with your hands 491 00:25:42,800 --> 00:25:45,040 Speaker 5: in some sort of factory. I think there are a 492 00:25:45,080 --> 00:25:49,520 Speaker 5: lot of thought related so called white collar jobs. Then 493 00:25:49,560 --> 00:25:52,399 Speaker 5: a lot of companies are just not filling right now 494 00:25:52,800 --> 00:25:56,920 Speaker 5: because they don't know necessarily how quickly AI is going 495 00:25:57,000 --> 00:26:00,199 Speaker 5: to advance and eliminate a lot of these jobs. So 496 00:26:00,240 --> 00:26:02,159 Speaker 5: I think there's a bit of an inversion in the 497 00:26:02,240 --> 00:26:05,680 Speaker 5: job market where there are a lot of people who 498 00:26:05,720 --> 00:26:08,680 Speaker 5: felt very confident, Hey, I'm always going to have a job, 499 00:26:08,760 --> 00:26:10,920 Speaker 5: and I talk about this with my boys even now. 500 00:26:11,680 --> 00:26:14,040 Speaker 5: I buck I think a lot of lawyers are going 501 00:26:14,119 --> 00:26:16,200 Speaker 5: to be losing their jobs in the years ahead, because 502 00:26:16,240 --> 00:26:19,880 Speaker 5: when I graduated law school, you had twenty five year 503 00:26:19,880 --> 00:26:22,159 Speaker 5: old lawyers who would sit in front of a computer 504 00:26:22,240 --> 00:26:25,520 Speaker 5: screen and would be looking through documents and flagging the 505 00:26:25,680 --> 00:26:28,480 Speaker 5: relevant documents and all these things billing hundreds of dollars. 506 00:26:29,000 --> 00:26:30,800 Speaker 5: That's going to become automated. I think a lot of 507 00:26:30,840 --> 00:26:33,160 Speaker 5: these consulting jobs that people got, a lot of these 508 00:26:33,160 --> 00:26:37,640 Speaker 5: investment banking jobs, they are remember the super skilled. 509 00:26:37,720 --> 00:26:43,680 Speaker 3: If you remember share In the Timeless classic, Clueless gets 510 00:26:43,680 --> 00:26:48,400 Speaker 3: into trouble with the mean associate lawyer because she highlights 511 00:26:49,160 --> 00:26:51,560 Speaker 3: the June ninth calls or whatever, and she's supposed to 512 00:26:51,640 --> 00:26:55,119 Speaker 3: highlight the June fifth calls. But in the nineties you 513 00:26:55,200 --> 00:26:57,520 Speaker 3: had lawyers who were making hundreds and hundreds of dollars 514 00:26:57,520 --> 00:27:00,800 Speaker 3: an hour doing stuff like that going through phone records. 515 00:27:00,840 --> 00:27:02,560 Speaker 4: Not even just the nineties, I mean until recently. 516 00:27:03,240 --> 00:27:06,639 Speaker 3: Uh, the once you start to use AI as a tool, 517 00:27:06,880 --> 00:27:08,560 Speaker 3: and I would recommend that all of you do so 518 00:27:08,680 --> 00:27:09,400 Speaker 3: for your own lives. 519 00:27:09,480 --> 00:27:10,000 Speaker 4: As a tool. 520 00:27:10,240 --> 00:27:12,399 Speaker 3: Look, I'll tell you, and it tells you don't do this, 521 00:27:12,600 --> 00:27:14,080 Speaker 3: or rather it doesn't say don't do this, it says, 522 00:27:14,080 --> 00:27:17,320 Speaker 3: don't rely on this. I've uploaded my blood work to groc. 523 00:27:18,080 --> 00:27:20,920 Speaker 1: To try to get ideas for health like. 524 00:27:21,880 --> 00:27:24,920 Speaker 3: Because because the doctor, you know the doctor, as you 525 00:27:25,000 --> 00:27:26,680 Speaker 3: all know, you go in there for the most part, 526 00:27:26,720 --> 00:27:28,520 Speaker 3: you get you get your five minutes with the doctor. 527 00:27:28,720 --> 00:27:30,760 Speaker 3: Here's the big problem. Here's this whatever. I'm like, well, 528 00:27:30,800 --> 00:27:32,959 Speaker 3: what about this? What about that? I'm always a person 529 00:27:33,040 --> 00:27:36,320 Speaker 3: who I have more questions than the doctor wants to answer. 530 00:27:37,320 --> 00:27:38,920 Speaker 4: I can sit there and ask. Now, groc will tell 531 00:27:38,920 --> 00:27:39,840 Speaker 4: you it's not a doctor. 532 00:27:40,160 --> 00:27:42,239 Speaker 3: Same thing with Gemini and these other you know, uh 533 00:27:42,480 --> 00:27:45,879 Speaker 3: chat ept and so you should always consult with your doctor. 534 00:27:46,200 --> 00:27:48,399 Speaker 3: But if you're just you know, so there's that disclaimer. 535 00:27:49,240 --> 00:27:53,359 Speaker 3: But it is amazing the detailed information, factual information you 536 00:27:53,400 --> 00:27:55,720 Speaker 3: can get on these things. But do you remember that 537 00:27:55,720 --> 00:27:58,280 Speaker 3: scene from Clueless? Right, Oh yeah, it's a great movie 538 00:27:58,320 --> 00:27:59,840 Speaker 3: and he's like he's like, you do what you want 539 00:27:59,880 --> 00:28:02,840 Speaker 3: with your butts. I'm calling in sick. And then she's 540 00:28:02,880 --> 00:28:07,199 Speaker 3: like so sad, and then she gets romantic with her stepbrother, 541 00:28:07,640 --> 00:28:09,719 Speaker 3: which I feel like everyone was just a little too 542 00:28:09,760 --> 00:28:10,840 Speaker 3: okay with in that movie. 543 00:28:11,440 --> 00:28:13,000 Speaker 4: Remember that played. 544 00:28:12,720 --> 00:28:13,560 Speaker 1: By Pel Rudd. 545 00:28:13,800 --> 00:28:17,919 Speaker 3: Josh, Yeah, Josh is the stepbrother and they're playing smoochy smooch. 546 00:28:18,000 --> 00:28:20,000 Speaker 3: But it's like, that's your stepbrother. I think that's weird. 547 00:28:20,600 --> 00:28:23,960 Speaker 5: Do you think that Paul Rudd is maybe one of 548 00:28:23,960 --> 00:28:27,119 Speaker 5: the people who has least aged in the last thirty 549 00:28:27,160 --> 00:28:29,119 Speaker 5: five years. I mean, I don't know what he does 550 00:28:29,600 --> 00:28:32,639 Speaker 5: but if you look at him in basically his entire 551 00:28:32,720 --> 00:28:35,639 Speaker 5: acting career, he doesn't look very different now than he 552 00:28:35,720 --> 00:28:38,240 Speaker 5: did all the way back. He's basically looked thirty for 553 00:28:38,320 --> 00:28:39,760 Speaker 5: about thirty five years. 554 00:28:40,640 --> 00:28:43,520 Speaker 3: That sounds about right, probably, Yeah, yeah, he's not quite 555 00:28:43,520 --> 00:28:46,960 Speaker 3: at Tom Cruise level where you're like, what what alien 556 00:28:47,120 --> 00:28:50,800 Speaker 3: science experiments are being run to make him still look 557 00:28:51,280 --> 00:28:53,440 Speaker 3: like he should be running around doing fly kicks when 558 00:28:53,440 --> 00:28:54,800 Speaker 3: the guy's like my dad's age. 559 00:28:54,800 --> 00:28:57,400 Speaker 4: But yeah, sure, right, what let. 560 00:28:57,360 --> 00:28:59,120 Speaker 5: Me ask you this though, do you sign on to 561 00:28:59,240 --> 00:29:03,600 Speaker 5: my idea that AI initially is having more of an 562 00:29:03,680 --> 00:29:08,040 Speaker 5: upper middle class job impact than it is lower You know, 563 00:29:08,080 --> 00:29:10,720 Speaker 5: when I say class, I mean like what your salary is. 564 00:29:10,560 --> 00:29:15,320 Speaker 3: It's an enormous white collar. It's an enormous efficiency tool 565 00:29:15,760 --> 00:29:21,160 Speaker 3: for bureaucratic and paper shuffling kind of work. And so 566 00:29:21,240 --> 00:29:24,360 Speaker 3: there are a lot of people who work on who 567 00:29:24,400 --> 00:29:28,000 Speaker 3: have jobs where that is their job. What is the 568 00:29:28,080 --> 00:29:31,840 Speaker 3: job really entail? It entails doing, you know, doing research 569 00:29:31,880 --> 00:29:36,960 Speaker 3: for things, going through things, finding things. Well, now you 570 00:29:37,040 --> 00:29:40,280 Speaker 3: can upload a you know, you can upload one hundred 571 00:29:40,320 --> 00:29:42,400 Speaker 3: thousand pages if you want to into some of these 572 00:29:42,440 --> 00:29:45,800 Speaker 3: AI programs, and it will give you every citation or 573 00:29:45,840 --> 00:29:50,720 Speaker 3: every every statistical example of whatever you're looking for, and 574 00:29:50,840 --> 00:29:53,440 Speaker 3: it can do it in a couple of minutes, so 575 00:29:53,520 --> 00:29:55,880 Speaker 3: you think about the time savings. We actually talked to 576 00:29:55,920 --> 00:29:58,040 Speaker 3: doctor Marty McCay about this and what's going on with 577 00:29:58,080 --> 00:30:03,920 Speaker 3: the FDA. Yeah, for massive medical trials, you know which 578 00:30:03,920 --> 00:30:07,240 Speaker 3: they do these big you know, ten year, fifteen thousand 579 00:30:07,280 --> 00:30:09,959 Speaker 3: person data sets and all this this is gonna make 580 00:30:10,000 --> 00:30:12,520 Speaker 3: that No, that's just a I think that's nothing but upside. 581 00:30:12,840 --> 00:30:15,320 Speaker 3: But to your point about some of these jobs, here's 582 00:30:15,360 --> 00:30:17,920 Speaker 3: what we had an HR A lady from HR calling before, right, 583 00:30:18,640 --> 00:30:20,120 Speaker 3: just saying that out loud. I feel like I'm about 584 00:30:20,160 --> 00:30:22,000 Speaker 3: to get in trouble for something. Yeah, right, we're gonna 585 00:30:22,000 --> 00:30:23,680 Speaker 3: get in HR lady call for sure. 586 00:30:23,920 --> 00:30:24,960 Speaker 1: So is it just gonna be honest? 587 00:30:25,000 --> 00:30:27,160 Speaker 3: Clay and I have existed in the world where you 588 00:30:27,240 --> 00:30:28,760 Speaker 3: never want to hear from the HR lady. 589 00:30:28,840 --> 00:30:33,080 Speaker 4: I'm just gonna it's like, you know, especially if. 590 00:30:32,960 --> 00:30:34,479 Speaker 3: It's a lady, I don't know, You're just gonna get 591 00:30:34,520 --> 00:30:36,760 Speaker 3: where It just means that we said something might have 592 00:30:36,760 --> 00:30:37,800 Speaker 3: been a joke that was made. 593 00:30:38,520 --> 00:30:41,760 Speaker 5: Does anyone get excited when the phone rings and they're like, hey, 594 00:30:41,800 --> 00:30:45,040 Speaker 5: it's HR you're like, oh no, like there's nobody out 595 00:30:45,040 --> 00:30:46,480 Speaker 5: there listening to us right now. 596 00:30:46,520 --> 00:30:48,760 Speaker 1: That's like I've been waiting for this call. Thank the Lord. 597 00:30:48,920 --> 00:30:50,560 Speaker 3: I'm so so a little bit like when I get 598 00:30:50,600 --> 00:30:54,400 Speaker 3: my when I get a letter that says Internal Revenue 599 00:30:54,440 --> 00:30:57,280 Speaker 3: Service on it, I'm never like, oh sweet, I want 600 00:30:57,280 --> 00:31:01,120 Speaker 3: to open this one. So now I understand HR people 601 00:31:01,120 --> 00:31:03,640 Speaker 3: are probably all very annoyed with us right now and 602 00:31:03,680 --> 00:31:06,080 Speaker 3: would not hire us, but they would say, what about 603 00:31:06,080 --> 00:31:08,320 Speaker 3: when I have the amazing news of giving somebody their 604 00:31:08,400 --> 00:31:08,960 Speaker 3: dream job? 605 00:31:09,160 --> 00:31:10,360 Speaker 4: And of course that is a. 606 00:31:10,920 --> 00:31:13,320 Speaker 3: This was like what Clay the one the one season 607 00:31:13,320 --> 00:31:17,160 Speaker 3: of high school soccer I coached, The greatest thing was 608 00:31:17,200 --> 00:31:19,480 Speaker 3: the joy on the faces of the kids who wanted 609 00:31:19,480 --> 00:31:22,320 Speaker 3: to make the team so bad and were marginal who 610 00:31:22,360 --> 00:31:23,840 Speaker 3: made it that there we had. I had a couple 611 00:31:23,840 --> 00:31:26,600 Speaker 3: of like stuperstars who were going to go play in college, 612 00:31:26,600 --> 00:31:28,240 Speaker 3: but I had two or three. I was like, well, 613 00:31:28,240 --> 00:31:30,200 Speaker 3: these kids are you know, they're they're like better than 614 00:31:30,240 --> 00:31:32,800 Speaker 3: I ever was, and they're freshmen. And then you know, 615 00:31:32,800 --> 00:31:35,000 Speaker 3: there were kids that were marginal. That was the greatest thing. 616 00:31:35,760 --> 00:31:37,640 Speaker 3: The worst thing was the kids who teared up when 617 00:31:37,640 --> 00:31:39,280 Speaker 3: they were close and didn't make it, and I had 618 00:31:39,320 --> 00:31:40,880 Speaker 3: to tell them, you know what I mean. That's the 619 00:31:41,160 --> 00:31:43,720 Speaker 3: so HR cuts both ways, right, because yeah, on the 620 00:31:43,720 --> 00:31:45,480 Speaker 3: one side you get to tell people dream job. The 621 00:31:45,560 --> 00:31:47,760 Speaker 3: other side it's I know this would have been a 622 00:31:47,840 --> 00:31:50,640 Speaker 3: life changing salary increase for you, but we anyway. So 623 00:31:51,440 --> 00:31:53,840 Speaker 3: I think though an HR, and particularly you're seeing AI 624 00:31:54,160 --> 00:31:58,360 Speaker 3: is because it's large data sets, it's efficiency based, and 625 00:31:58,480 --> 00:32:00,640 Speaker 3: their AI is doing the job of a lot of 626 00:32:00,760 --> 00:32:02,760 Speaker 3: HR people right now. And that is our that is 627 00:32:02,960 --> 00:32:05,560 Speaker 3: written about, that is clear, that is happening. So what 628 00:32:05,680 --> 00:32:07,560 Speaker 3: is HR really going to be doing because it's just 629 00:32:07,640 --> 00:32:09,800 Speaker 3: gonna You're gonna set your parameters. I need X amount 630 00:32:09,800 --> 00:32:12,360 Speaker 3: of years of experience I need, you know, I'm gonna 631 00:32:12,360 --> 00:32:15,480 Speaker 3: look up, prioritize the following schools, et cetera, et cetera. 632 00:32:15,760 --> 00:32:17,640 Speaker 3: You can have somebody do this now with ten thousand 633 00:32:17,680 --> 00:32:20,840 Speaker 3: resumes and give you your top ten resumes in five minutes, 634 00:32:20,880 --> 00:32:21,360 Speaker 3: three minutes. 635 00:32:22,800 --> 00:32:24,240 Speaker 1: I think that's one hundred percent right. 636 00:32:24,320 --> 00:32:27,200 Speaker 5: I also think there's just a lot of pause on 637 00:32:27,400 --> 00:32:30,760 Speaker 5: hiring on those jobs because companies are saying, wait a minute, 638 00:32:31,240 --> 00:32:34,320 Speaker 5: maybe we don't fill that opening that we have. Look, 639 00:32:34,440 --> 00:32:40,320 Speaker 5: and here is the Elon has come out recently and said, Hey, 640 00:32:40,360 --> 00:32:43,000 Speaker 5: we're rapidly advancing to a world I think he said 641 00:32:43,000 --> 00:32:45,720 Speaker 5: the other day where having a job will be like 642 00:32:45,880 --> 00:32:49,479 Speaker 5: growing your own produce. People can choose to do it, 643 00:32:50,080 --> 00:32:52,480 Speaker 5: but it's not going to be the standard. 644 00:32:52,480 --> 00:32:52,680 Speaker 1: Now. 645 00:32:52,720 --> 00:32:55,760 Speaker 5: These are people who believe that AI is truly, over 646 00:32:55,800 --> 00:32:58,800 Speaker 5: the next ten to fifteen years, going to be transformative 647 00:32:58,840 --> 00:33:02,360 Speaker 5: in a way that frankly most of us can't even comprehend, 648 00:33:02,800 --> 00:33:05,360 Speaker 5: and that we're going to basically have to figure out 649 00:33:05,360 --> 00:33:10,080 Speaker 5: a way to reorient society without working being a huge 650 00:33:10,120 --> 00:33:10,520 Speaker 5: part of it. 651 00:33:11,080 --> 00:33:15,960 Speaker 3: This is where I'm reminded of Neval who I've mentioned 652 00:33:16,000 --> 00:33:18,960 Speaker 3: several times before on the show Silicon Valley guy, founder 653 00:33:19,000 --> 00:33:20,960 Speaker 3: of Angel List. It's been on a lot of the 654 00:33:20,960 --> 00:33:24,320 Speaker 3: big podcasts, and I just think is a very interesting 655 00:33:24,360 --> 00:33:28,680 Speaker 3: and sound thinker on things like this in particular. And 656 00:33:28,760 --> 00:33:32,680 Speaker 3: he breaks this down Clay into wealth versus status in 657 00:33:32,800 --> 00:33:36,280 Speaker 3: society and wealth and I think you very much take 658 00:33:36,320 --> 00:33:38,720 Speaker 3: this approach in general, like this is a part of 659 00:33:38,760 --> 00:33:40,880 Speaker 3: your We talked to this at WO WO and they're asking, 660 00:33:41,000 --> 00:33:42,120 Speaker 3: what do you know about Claire, what do you know 661 00:33:42,200 --> 00:33:45,240 Speaker 3: about Buck? I think you believe that there are ways 662 00:33:45,240 --> 00:33:47,480 Speaker 3: that everybody can win and everybody can be doing better. 663 00:33:47,880 --> 00:33:51,080 Speaker 3: And that's true about wealth and anybody who denies that. 664 00:33:51,760 --> 00:33:55,440 Speaker 3: All of you right now who are driving around in 665 00:33:55,480 --> 00:34:00,280 Speaker 3: your car with your you know, your Venti Starbucks, hope for. 666 00:34:00,280 --> 00:34:02,200 Speaker 4: Your Crockett coffee actually, but. 667 00:34:02,680 --> 00:34:06,640 Speaker 3: In your heated seats, with your air bags, on your 668 00:34:06,680 --> 00:34:10,520 Speaker 3: iPhone everything else. You are living in a space age 669 00:34:10,600 --> 00:34:16,040 Speaker 3: unimaginable future of wealth compared to what King Henry the eighth, 670 00:34:16,280 --> 00:34:20,080 Speaker 3: like the actual king, would have had, right you, your. 671 00:34:19,960 --> 00:34:22,839 Speaker 5: Health of us that live better now than the wealthiest 672 00:34:22,880 --> 00:34:24,640 Speaker 5: people did two hundred years ago. 673 00:34:24,680 --> 00:34:27,600 Speaker 3: Yes, basically, your your healthcare is better, your food is better, 674 00:34:27,680 --> 00:34:29,439 Speaker 3: your your comfort is better. 675 00:34:29,480 --> 00:34:31,000 Speaker 4: Your bed gotta get. 676 00:34:30,880 --> 00:34:33,600 Speaker 3: Those sheets from you know what I'm talking about Cozy Earth. 677 00:34:35,120 --> 00:34:35,440 Speaker 1: Henry. 678 00:34:36,440 --> 00:34:38,880 Speaker 3: You know he was robust. He didn't have cozy Earth sheets. 679 00:34:39,760 --> 00:34:43,520 Speaker 3: You got you have incredible wealth. Status is I'm in 680 00:34:43,560 --> 00:34:46,319 Speaker 3: a better place than you. Status is how do I 681 00:34:46,360 --> 00:34:47,839 Speaker 3: stack up to him or her? 682 00:34:48,000 --> 00:34:48,160 Speaker 4: Right? 683 00:34:48,239 --> 00:34:50,719 Speaker 3: Status is a different thing. And he says that people 684 00:34:50,719 --> 00:34:53,040 Speaker 3: should always separate those in their minds. And when you're 685 00:34:53,080 --> 00:34:56,880 Speaker 3: talking about AI, you're talking about what should be able 686 00:34:56,920 --> 00:35:03,640 Speaker 3: to be widely distributed increases on of societal and global 687 00:35:03,680 --> 00:35:06,719 Speaker 3: wealth along the lines of what we're talking about, which 688 00:35:06,760 --> 00:35:09,520 Speaker 3: is everybody has more, but it might get to the 689 00:35:09,520 --> 00:35:12,480 Speaker 3: point where everybody has so much more that people start 690 00:35:12,520 --> 00:35:16,319 Speaker 3: to hyper focus on what somebody next to them has 691 00:35:16,440 --> 00:35:19,200 Speaker 3: instead of what they have. And this is where you 692 00:35:19,200 --> 00:35:22,480 Speaker 3: get into whether people will be happy, whether people will 693 00:35:22,680 --> 00:35:24,080 Speaker 3: be fulfilled by these things? 694 00:35:24,280 --> 00:35:26,520 Speaker 4: Will will you really be fulfilled if. 695 00:35:26,560 --> 00:35:28,720 Speaker 3: You have I don't remember the name of the robotic 696 00:35:28,800 --> 00:35:31,839 Speaker 3: made from the Jetsons, but cleaning up everything, Row, thank 697 00:35:31,880 --> 00:35:36,000 Speaker 3: you Rosie making your food, cleaning up everything. You're still 698 00:35:36,080 --> 00:35:38,360 Speaker 3: gonna have wants and needs as a human being. You 699 00:35:38,360 --> 00:35:40,120 Speaker 3: know you're still you know this is this is by 700 00:35:40,120 --> 00:35:42,520 Speaker 3: the way, Clay. I also think, and I put myself 701 00:35:42,520 --> 00:35:45,440 Speaker 3: this category two. A lot of people have really earnestly 702 00:35:45,560 --> 00:35:47,600 Speaker 3: gone back to their faith and gone back to church 703 00:35:47,920 --> 00:35:51,160 Speaker 3: in recent years because I think they see, you know, 704 00:35:51,360 --> 00:35:54,720 Speaker 3: chasing the material things. Material things may get really boring 705 00:35:54,800 --> 00:35:57,600 Speaker 3: soon because everyone's going to have their material needs met. 706 00:35:58,680 --> 00:36:02,440 Speaker 5: Yeah, And for Christy who called in keep your head up. 707 00:36:04,040 --> 00:36:08,160 Speaker 5: I've been fired multiple times. I've lost my jobs multiple times. 708 00:36:08,680 --> 00:36:11,480 Speaker 5: I know how stressful that entire process is. I know 709 00:36:11,520 --> 00:36:13,720 Speaker 5: there are lots of you out there in this camp, 710 00:36:14,360 --> 00:36:17,440 Speaker 5: and we hope again that you're going to find employment, 711 00:36:17,440 --> 00:36:19,080 Speaker 5: and all of you are going to find employment sooner 712 00:36:19,200 --> 00:36:22,360 Speaker 5: rather than later. I do think at a big picture 713 00:36:22,840 --> 00:36:26,680 Speaker 5: part of what's going on is AI disruption that is 714 00:36:26,719 --> 00:36:29,760 Speaker 5: starting to work its way through the economy. And frankly, 715 00:36:30,520 --> 00:36:34,320 Speaker 5: I'm not smart enough to understand exactly what the full 716 00:36:34,440 --> 00:36:36,799 Speaker 5: on ramifications of this are going to be. But some 717 00:36:36,880 --> 00:36:40,080 Speaker 5: of the smartest people in the world believe that the 718 00:36:40,080 --> 00:36:42,600 Speaker 5: next decade is going to be transformative on a level 719 00:36:42,640 --> 00:36:45,120 Speaker 5: we may not even be able to comprehend right now. 720 00:36:45,520 --> 00:36:48,680 Speaker 3: Yeah, it may make the Internet look like small potatoes 721 00:36:48,719 --> 00:36:50,799 Speaker 3: by comparison. Just one thing I would say for anyone 722 00:36:50,840 --> 00:36:53,560 Speaker 3: who's listening who's having trouble finding a job. In my 723 00:36:53,760 --> 00:36:57,320 Speaker 3: experience and I've had I've had very different kinds of careers, 724 00:36:57,320 --> 00:37:00,799 Speaker 3: two very different careers really, and look, we're in different. 725 00:37:00,560 --> 00:37:01,080 Speaker 4: Kinds of things. 726 00:37:01,080 --> 00:37:05,800 Speaker 3: So is Clay and Clay started companies especially Now, don't 727 00:37:05,840 --> 00:37:08,759 Speaker 3: just rely on blind resumes. If you want to send 728 00:37:08,760 --> 00:37:11,080 Speaker 3: those in, that's fine, you know, send them into that inbox. 729 00:37:11,239 --> 00:37:15,000 Speaker 3: It could work. It could work. Talk to people, and 730 00:37:15,040 --> 00:37:17,799 Speaker 3: I really mean that. You know you're you're at a 731 00:37:17,840 --> 00:37:20,920 Speaker 3: car dealership that seems like it's just really really well run, 732 00:37:21,000 --> 00:37:22,840 Speaker 3: and you think you'd be good in sales. 733 00:37:23,920 --> 00:37:24,520 Speaker 4: Talk to them. 734 00:37:24,840 --> 00:37:25,960 Speaker 1: Yeah, just just start. 735 00:37:26,080 --> 00:37:27,600 Speaker 4: You don't have to be like, hey, I want a job. 736 00:37:27,760 --> 00:37:31,040 Speaker 3: Just start, you know, start gathering that information, creating that 737 00:37:31,160 --> 00:37:34,319 Speaker 3: contact with people. I think this is true for a 738 00:37:34,360 --> 00:37:36,800 Speaker 3: whole range of things, but for finding a job, people 739 00:37:36,880 --> 00:37:40,080 Speaker 3: get jobs from other people. You actually don't get a 740 00:37:40,160 --> 00:37:42,600 Speaker 3: job from an email inbox. Always remember that