1
00:00:05,160 --> 00:00:10,800
Speaker 1: Why from Vall Hartliner and the Crossroads of America. It's

2
00:00:10,880 --> 00:00:14,040
Speaker 1: Tony Cats today. The jobs report is out and it

3
00:00:14,120 --> 00:00:16,840
Speaker 1: kind of stinks. I mean, I guess you could find

4
00:00:16,920 --> 00:00:21,320
Speaker 1: good in anything, but when you see jobs in February

5
00:00:21,360 --> 00:00:24,880
Speaker 1: falling ninety two thousand compared to annestment of fifty thousand,

6
00:00:25,400 --> 00:00:30,520
Speaker 1: and you have a downward revision of January losing jobs.

7
00:00:30,520 --> 00:00:34,960
Speaker 1: But Tony, we keep talking about AI, AI, AI, AI,

8
00:00:35,040 --> 00:00:37,960
Speaker 1: the other AI, your mother. Everything's AI. We don't have people,

9
00:00:38,000 --> 00:00:40,960
Speaker 1: We've got AI, We've got data centers having all the jobs.

10
00:00:41,240 --> 00:00:44,720
Speaker 1: Isn't that like acceptable because creative destruction. Isn't that what

11
00:00:44,760 --> 00:00:48,880
Speaker 1: people would say? Maybe, but it still doesn't look good.

12
00:00:49,120 --> 00:00:53,440
Speaker 1: Unemployment is up again the AI. When you're running for

13
00:00:53,520 --> 00:00:55,560
Speaker 1: re election, when you're running to win the midterms, these

14
00:00:55,560 --> 00:00:58,520
Speaker 1: are not the things you want. And add this into

15
00:00:58,560 --> 00:01:01,560
Speaker 1: a situation regarding a where you now have oil that

16
00:01:01,640 --> 00:01:03,960
Speaker 1: hit over ninety dollars a barrel on the Brent crude

17
00:01:04,000 --> 00:01:06,360
Speaker 1: coming out of the oceans, it gives a lot of

18
00:01:06,360 --> 00:01:09,039
Speaker 1: ammunition for the other side. For us, we only have

19
00:01:09,120 --> 00:01:11,800
Speaker 1: to ask what it means. Tony Katz, Tony Kats today,

20
00:01:11,840 --> 00:01:13,560
Speaker 1: good to be with you, Doctor Matt will is here

21
00:01:13,800 --> 00:01:17,200
Speaker 1: economists at the University of Indianapolis. You know, I forgot

22
00:01:17,240 --> 00:01:19,240
Speaker 1: it's the first Friday of the month and jobs numbers

23
00:01:19,280 --> 00:01:22,240
Speaker 1: coming out. I am now looking at everything with this

24
00:01:22,319 --> 00:01:25,000
Speaker 1: giant grain of sault because of AI. But it still

25
00:01:25,040 --> 00:01:27,600
Speaker 1: doesn't change where media will push things, and we have

26
00:01:27,680 --> 00:01:30,000
Speaker 1: to understand what these things are really saying to us.

27
00:01:30,280 --> 00:01:33,560
Speaker 1: So give me the low lights and the possible highlights

28
00:01:34,000 --> 00:01:36,760
Speaker 1: of this latest job report which has unemployment now at

29
00:01:36,760 --> 00:01:37,759
Speaker 1: four point four percent.

30
00:01:38,840 --> 00:01:40,400
Speaker 2: Well, first of all, I have to give you a

31
00:01:40,400 --> 00:01:45,200
Speaker 2: tremendous credit for referring to creative destruction, because that's exactly

32
00:01:45,240 --> 00:01:48,000
Speaker 2: what's happened. That is for people out there that want

33
00:01:48,000 --> 00:01:50,440
Speaker 2: to look it up to the guy named Joseph Schumpader

34
00:01:50,840 --> 00:01:53,920
Speaker 2: developed that phrase and he talked about transitions and you

35
00:01:53,960 --> 00:01:56,320
Speaker 2: have to transition into the next phase of the economy,

36
00:01:56,560 --> 00:01:59,880
Speaker 2: and that's what we're seeing here. You could describe it perfectly, Tony.

37
00:02:00,440 --> 00:02:03,240
Speaker 2: This is an AI report, and it's a report that

38
00:02:03,400 --> 00:02:05,960
Speaker 2: I said last time when we spoke about this was

39
00:02:06,000 --> 00:02:10,959
Speaker 2: going to continue. We're transitioning away from the traditional economy

40
00:02:11,000 --> 00:02:13,760
Speaker 2: that we've seen into the next phase, which is an

41
00:02:13,760 --> 00:02:19,160
Speaker 2: AI driven You're going to have transitional unemployment. It's not bad. Yes,

42
00:02:19,400 --> 00:02:22,919
Speaker 2: ninety two thousand people, that's bad, especially when the goal

43
00:02:23,040 --> 00:02:25,400
Speaker 2: was You know that the estimate was fifty So we

44
00:02:25,440 --> 00:02:29,040
Speaker 2: see a one hundred and twenty plus thousand swing. That

45
00:02:29,280 --> 00:02:33,040
Speaker 2: is not insignificant. So those people, you know, we got

46
00:02:33,080 --> 00:02:35,760
Speaker 2: to be understanding. They've lost their jobs. But if you

47
00:02:35,800 --> 00:02:37,679
Speaker 2: look in the report, let me tell you where the

48
00:02:37,720 --> 00:02:41,320
Speaker 2: nugget of good news is. Okay, every category was down.

49
00:02:41,639 --> 00:02:45,840
Speaker 2: That's not the good news except for two wholesale and

50
00:02:45,880 --> 00:02:49,880
Speaker 2: financial services wholesale. That's the nugget of good news. It's

51
00:02:49,919 --> 00:02:52,760
Speaker 2: consistent with the ISM report. We saw the other day

52
00:02:53,240 --> 00:02:57,240
Speaker 2: that manufacturing is up. When manufacturing is up, when we're

53
00:02:57,280 --> 00:03:01,400
Speaker 2: producing more stuff now with AI, So the actual manufacturing

54
00:03:01,440 --> 00:03:04,880
Speaker 2: workers are dropped, which is consistent with the ISM report.

55
00:03:05,280 --> 00:03:08,320
Speaker 2: But the distribution of those goods, the whole sale is up.

56
00:03:08,360 --> 00:03:10,440
Speaker 2: That means that we're making a lot more stuff and

57
00:03:10,480 --> 00:03:13,480
Speaker 2: we're sending it out to the world. That is good news.

58
00:03:13,680 --> 00:03:16,040
Speaker 2: We're going through a tough period of transition. People have

59
00:03:16,080 --> 00:03:19,240
Speaker 2: to just understand that, and it's going to continue. I

60
00:03:19,280 --> 00:03:21,360
Speaker 2: got to give Trump a lot of credit here because

61
00:03:21,400 --> 00:03:23,880
Speaker 2: he's doing a few things that are not good politically,

62
00:03:24,160 --> 00:03:27,040
Speaker 2: but are good economically. He's the one who set the

63
00:03:27,080 --> 00:03:30,720
Speaker 2: stage to allow this AI transition. He's growing our economy

64
00:03:30,760 --> 00:03:34,840
Speaker 2: by leaps and bounds. He's growing manufacturing, but people get

65
00:03:34,920 --> 00:03:37,040
Speaker 2: laid off and they're voters, so it's not in his

66
00:03:37,080 --> 00:03:40,000
Speaker 2: best interest. But it's a good report if you look

67
00:03:40,000 --> 00:03:42,560
Speaker 2: at the transition, not the today numbers.

68
00:03:43,520 --> 00:03:48,240
Speaker 1: Talking to doctor Matt Well, economist at the University of Indianapolis.

69
00:03:48,280 --> 00:03:52,080
Speaker 1: So yes, this idea that AI is going to change things,

70
00:03:52,080 --> 00:03:53,880
Speaker 1: but it doesn't change things in the eyes of the

71
00:03:53,880 --> 00:03:57,960
Speaker 1: American people right away. And we still have to accept

72
00:03:58,000 --> 00:04:00,839
Speaker 1: the fact that while the AI might be doing the

73
00:04:00,880 --> 00:04:05,000
Speaker 1: work of people, four people, twenty two people, those twenty

74
00:04:05,040 --> 00:04:09,440
Speaker 1: two people still need to be out there creating. Does

75
00:04:10,080 --> 00:04:15,240
Speaker 1: the economist look at the creation as an overall number

76
00:04:15,600 --> 00:04:18,200
Speaker 1: or does it take a look at who does the creating,

77
00:04:18,560 --> 00:04:22,320
Speaker 1: the individual, the person versus the machine.

78
00:04:23,360 --> 00:04:25,839
Speaker 2: You know, that's a good question. And this is where

79
00:04:25,839 --> 00:04:29,039
Speaker 2: I'm going to, you know, talk about I'm a financial economist,

80
00:04:29,240 --> 00:04:32,600
Speaker 2: not a traditional economist, because traditional economics doesn't look at that.

81
00:04:32,839 --> 00:04:35,560
Speaker 2: Traditional economics is knesy in and they say, oh, government's

82
00:04:35,560 --> 00:04:39,560
Speaker 2: spending good, job loss bad. But in finance. We care

83
00:04:39,600 --> 00:04:42,040
Speaker 2: about where the job comes from. We care if it's

84
00:04:42,080 --> 00:04:44,760
Speaker 2: a government job or a private job. And so yes,

85
00:04:45,360 --> 00:04:48,480
Speaker 2: in the financial markets, we see that there is this

86
00:04:48,520 --> 00:04:52,880
Speaker 2: transition and we're okay. God, that sounds terrible, doesn't it.

87
00:04:53,080 --> 00:04:55,360
Speaker 2: We're not okay with the loss of jobs, but we're

88
00:04:55,400 --> 00:04:58,159
Speaker 2: okay with the transition. And what's going to happen because

89
00:04:58,200 --> 00:05:01,599
Speaker 2: of his deregulation, because of his one big beautiful bill,

90
00:05:01,839 --> 00:05:04,200
Speaker 2: because of the tax incentives, and I can give you

91
00:05:04,200 --> 00:05:07,840
Speaker 2: a whole list of other deregulation and executive orders. These

92
00:05:07,880 --> 00:05:09,760
Speaker 2: people who have lost their jobs are going to have

93
00:05:09,880 --> 00:05:13,520
Speaker 2: opportunities in the new economy. And I hate that phrase. Also,

94
00:05:13,560 --> 00:05:15,720
Speaker 2: that's the kind of a buzz phrase, the new economy.

95
00:05:16,240 --> 00:05:17,280
Speaker 2: But it is going to be new.

96
00:05:18,400 --> 00:05:23,120
Speaker 1: So now we take a look at the new This

97
00:05:23,360 --> 00:05:28,120
Speaker 1: is the way it is. The argument is, hey, we're

98
00:05:28,160 --> 00:05:30,839
Speaker 1: still generating wealth and that's all that matters. In the

99
00:05:30,880 --> 00:05:34,600
Speaker 1: generating wealth is going to create other opportunities. How does

100
00:05:34,640 --> 00:05:36,520
Speaker 1: it do so? I mean, just as a matter of

101
00:05:36,640 --> 00:05:39,520
Speaker 1: how does the economists view it doing so? If the

102
00:05:39,560 --> 00:05:41,440
Speaker 1: future job does not involve.

103
00:05:41,080 --> 00:05:45,240
Speaker 2: People, okay, it will involve people. So let me say

104
00:05:45,360 --> 00:05:48,239
Speaker 2: how the financial economists use it. We have a pie

105
00:05:48,520 --> 00:05:50,960
Speaker 2: in this pie, and if everyone can visualize, there's the

106
00:05:51,040 --> 00:05:54,320
Speaker 2: needs and the ones. And as we evolve into this

107
00:05:54,400 --> 00:05:58,160
Speaker 2: new economy, the cost of your needs will shrink. Will

108
00:05:58,279 --> 00:06:00,960
Speaker 2: be spending less money on what you needed and more

109
00:06:01,040 --> 00:06:04,440
Speaker 2: money available for what you want. So in this report,

110
00:06:04,920 --> 00:06:08,080
Speaker 2: financial services are growing. We see other than for the war,

111
00:06:08,320 --> 00:06:12,400
Speaker 2: the market's growing wealth is being created. Well, what's that mean?

112
00:06:12,720 --> 00:06:18,080
Speaker 2: That means that somebody, some fantastic entrepreneur, a creative destroyer

113
00:06:18,120 --> 00:06:21,000
Speaker 2: as Schumpeter called it, is going to want to get

114
00:06:21,040 --> 00:06:23,680
Speaker 2: those dollars. They're going to innovate. They're going to create

115
00:06:23,720 --> 00:06:25,120
Speaker 2: something new, which means they're going to have to hire

116
00:06:25,120 --> 00:06:27,039
Speaker 2: people and they're going to have to train them to

117
00:06:27,080 --> 00:06:30,520
Speaker 2: do the skills that are needed for that job. Conny,

118
00:06:30,600 --> 00:06:32,760
Speaker 2: I can't tell you how excited I am to see

119
00:06:32,760 --> 00:06:35,839
Speaker 2: this transition in the economy. I know it's painful, but

120
00:06:35,960 --> 00:06:38,040
Speaker 2: we saw it in the Internet when it was invented.

121
00:06:38,520 --> 00:06:40,640
Speaker 2: You know, we are on the We have a front

122
00:06:40,720 --> 00:06:43,839
Speaker 2: row seat to a transitioning economy into the next phase.

123
00:06:44,320 --> 00:06:46,800
Speaker 2: That doesn't happen very many times in your lifetime, and

124
00:06:46,839 --> 00:06:48,320
Speaker 2: you and I are going to see it twice.

125
00:06:48,600 --> 00:06:51,920
Speaker 1: Yes, but when we get to see it afterwards. Ifso

126
00:06:52,040 --> 00:06:54,719
Speaker 1: facto we get to see the results being in it

127
00:06:54,760 --> 00:06:56,800
Speaker 1: is very difficult for a whole bunch of people who

128
00:06:56,839 --> 00:06:59,520
Speaker 1: are affected by it.

129
00:06:59,080 --> 00:07:03,360
Speaker 2: It is tony. I have tremendous empathy for those individuals.

130
00:07:03,520 --> 00:07:06,880
Speaker 2: Now that's a separate discussion beyond economics and finance. How

131
00:07:06,920 --> 00:07:09,440
Speaker 2: do we handle that transition? Now, there are people on

132
00:07:09,480 --> 00:07:11,040
Speaker 2: the left who say, well, the government needs to step

133
00:07:11,040 --> 00:07:12,680
Speaker 2: in and they need to do everything and provide a

134
00:07:12,680 --> 00:07:15,400
Speaker 2: safety net. And there's people on the right who believe, no,

135
00:07:15,680 --> 00:07:18,920
Speaker 2: it's the role of private charities and private industry to

136
00:07:19,000 --> 00:07:21,880
Speaker 2: retrain these people. But I don't believe that the solution

137
00:07:21,960 --> 00:07:23,360
Speaker 2: is for the government to step in. But that's a

138
00:07:23,400 --> 00:07:26,040
Speaker 2: legitimate debate about how do you manage a transition. But

139
00:07:26,120 --> 00:07:28,480
Speaker 2: we cannot stop the transition. We must let it occur

140
00:07:28,520 --> 00:07:30,600
Speaker 2: if we want to advance in society.

141
00:07:31,320 --> 00:07:34,880
Speaker 1: Talking to doctor Matt Well, economists at the University of Indianapolis,

142
00:07:35,840 --> 00:07:38,000
Speaker 1: when I see unemployment at four point four percent, I

143
00:07:38,040 --> 00:07:40,600
Speaker 1: don't know what to really do sometimes with the unemployment

144
00:07:40,640 --> 00:07:43,760
Speaker 1: number because very often this number does not include people

145
00:07:43,760 --> 00:07:47,040
Speaker 1: who have walked away from the job force all together.

146
00:07:48,000 --> 00:07:50,480
Speaker 1: And that is also we should be asking ourselves. You know,

147
00:07:50,480 --> 00:07:53,920
Speaker 1: there's this interesting report about four O one k's that

148
00:07:54,000 --> 00:07:58,280
Speaker 1: four A one k's are up overall, the average balance

149
00:07:58,320 --> 00:08:00,480
Speaker 1: is now one hundred and forty six four hundre dollars.

150
00:08:00,480 --> 00:08:03,520
Speaker 1: It rows eleven percent in twenty twenty five. The number

151
00:08:03,520 --> 00:08:06,000
Speaker 1: of four to one K millionaires is now six hundred

152
00:08:06,040 --> 00:08:09,200
Speaker 1: and sixty five thousand as of the fourth quarter twenty

153
00:08:09,280 --> 00:08:13,040
Speaker 1: twenty five, and that number is up from five hundred

154
00:08:13,080 --> 00:08:16,040
Speaker 1: and thirty seven thousand, four oh one K millionaires just

155
00:08:16,640 --> 00:08:20,120
Speaker 1: a year ago. But we also see people taking from

156
00:08:20,200 --> 00:08:22,960
Speaker 1: their four oh one k now six percent of people

157
00:08:23,040 --> 00:08:26,560
Speaker 1: taking hardship withdrawals from their four oh one ks. So

158
00:08:26,720 --> 00:08:30,280
Speaker 1: as an overall look at the economy, the unemployment number,

159
00:08:30,360 --> 00:08:33,360
Speaker 1: this four oh one K number. Is this a strong economy?

160
00:08:33,440 --> 00:08:35,280
Speaker 1: Is this an on its way economy? Or is this

161
00:08:35,320 --> 00:08:36,360
Speaker 1: a teetering economy?

162
00:08:37,200 --> 00:08:40,440
Speaker 2: No, it is, it's an on its way economy that's

163
00:08:40,520 --> 00:08:42,960
Speaker 2: in transition. You know, you made a good point about

164
00:08:43,040 --> 00:08:45,439
Speaker 2: the unemployment rate four point four. What's that mean? It

165
00:08:45,480 --> 00:08:48,040
Speaker 2: doesn't include things. There's a number, and I apologize I

166
00:08:48,080 --> 00:08:50,360
Speaker 2: didn't look it up before we spoke, called the U

167
00:08:50,520 --> 00:08:53,360
Speaker 2: six number. It's in the same report. You just have

168
00:08:53,400 --> 00:08:55,480
Speaker 2: to dig down and find it. The U six number

169
00:08:55,600 --> 00:08:59,000
Speaker 2: is a more accurate measurement of employment, and it's higher.

170
00:08:59,559 --> 00:09:02,880
Speaker 2: We see and what you just said about people tapping

171
00:09:02,880 --> 00:09:05,480
Speaker 2: in their four oh one K, that's a reflection of

172
00:09:05,520 --> 00:09:09,199
Speaker 2: the U six number. So four oh one K values

173
00:09:09,200 --> 00:09:12,560
Speaker 2: are up. Why because of this expanding, growing economy that

174
00:09:12,600 --> 00:09:15,440
Speaker 2: the wealth is being created. We see it, you cited

175
00:09:15,440 --> 00:09:19,760
Speaker 2: the statistics, but we also see the transition into a

176
00:09:19,800 --> 00:09:23,600
Speaker 2: new economy, and therefore people are tapping into that four

177
00:09:23,640 --> 00:09:25,960
Speaker 2: oh one K, those folks who are in the transition.

178
00:09:26,440 --> 00:09:30,320
Speaker 2: All the data is consistent. It's all consistent with a

179
00:09:30,679 --> 00:09:35,120
Speaker 2: wealth producing, growing, transitioning economy. Every piece of data is

180
00:09:35,120 --> 00:09:35,959
Speaker 2: consistent on this.

181
00:09:36,760 --> 00:09:38,840
Speaker 1: By the way, I did the AI search for the

182
00:09:38,920 --> 00:09:44,400
Speaker 1: U six. According to the AI machine, the U six

183
00:09:44,440 --> 00:09:46,840
Speaker 1: of February twenty twenty six is eight point seven percent.

184
00:09:47,600 --> 00:09:49,839
Speaker 2: Okay, that's the number you used to rely on. That

185
00:09:49,960 --> 00:09:52,400
Speaker 2: is a legit. I trust that number better than the

186
00:09:52,400 --> 00:09:53,679
Speaker 2: one that's on the headlines.

187
00:09:54,360 --> 00:09:56,839
Speaker 1: But do I concern myself because that says unemployment save

188
00:09:56,880 --> 00:10:00,880
Speaker 1: point seven percent? Shouldn't everybody be freaking out? Airs on fire?

189
00:10:01,120 --> 00:10:04,560
Speaker 1: The sky is falling, We're all gonna die like. Isn't

190
00:10:04,559 --> 00:10:06,120
Speaker 1: that a horrifying number.

191
00:10:07,080 --> 00:10:09,560
Speaker 2: It is a very bad number. And guess what, it's

192
00:10:09,559 --> 00:10:13,920
Speaker 2: a necessary evil. Back in the early twentieth century, we

193
00:10:13,960 --> 00:10:16,920
Speaker 2: had people walking around saying, Oh, that darn car industry.

194
00:10:17,040 --> 00:10:19,480
Speaker 2: Look at all the horse and buggy makers. They're getting

195
00:10:19,480 --> 00:10:21,800
Speaker 2: put out of business. We got to stop this. No,

196
00:10:22,040 --> 00:10:25,040
Speaker 2: it's okay, it's okay. The horse and buggy industry had

197
00:10:25,080 --> 00:10:28,280
Speaker 2: to leave and the car industry was very successful for

198
00:10:28,320 --> 00:10:32,480
Speaker 2: the economy. We're doing it again. That's perfectly fine. It's

199
00:10:32,559 --> 00:10:36,320
Speaker 2: not comfortable, and I think the discussion is not a

200
00:10:36,320 --> 00:10:39,640
Speaker 2: financial economic discussion. It's a social discussion, which is how

201
00:10:39,640 --> 00:10:43,040
Speaker 2: do we manage and help the people through this transition?

202
00:10:43,240 --> 00:10:44,560
Speaker 2: And what is that legitimate?

203
00:10:45,280 --> 00:10:47,560
Speaker 1: Doesn't matter? Are we just does that get helped in

204
00:10:47,600 --> 00:10:49,559
Speaker 1: the world of manufacturing? Does it get helped in the

205
00:10:49,559 --> 00:10:51,720
Speaker 1: world a service? I know a lot of people used

206
00:10:51,720 --> 00:10:54,720
Speaker 1: to talk on fact, especially eighties, nineties, early two thousands,

207
00:10:54,800 --> 00:10:56,560
Speaker 1: were the service economy. That's what we want to be.

208
00:10:56,640 --> 00:10:58,320
Speaker 1: Let other people make the things. I always thought that

209
00:10:58,360 --> 00:11:01,160
Speaker 1: was an insane thought. Why can't we build things some

210
00:11:01,200 --> 00:11:03,959
Speaker 1: people want to build? It's not about just servicing all

211
00:11:04,000 --> 00:11:06,200
Speaker 1: these things all the time, and I think you need

212
00:11:06,280 --> 00:11:10,120
Speaker 1: to have a proper mix those people who have been

213
00:11:10,160 --> 00:11:13,600
Speaker 1: removed from their positions because of AI and might not

214
00:11:13,760 --> 00:11:18,880
Speaker 1: be in the reskill pool to get into other fields.

215
00:11:19,320 --> 00:11:21,600
Speaker 1: What are the kind of jobs that we want to

216
00:11:21,640 --> 00:11:25,080
Speaker 1: see America create in order to help them through that

217
00:11:25,160 --> 00:11:28,240
Speaker 1: will also provide value long term to the nation.

218
00:11:29,440 --> 00:11:32,280
Speaker 2: Okay, I don't want to give you a big picture answer.

219
00:11:32,320 --> 00:11:35,240
Speaker 2: I want to give you a specific, sure answer. Okay,

220
00:11:35,440 --> 00:11:39,000
Speaker 2: in my institution where I teach, two years ago, we're

221
00:11:39,000 --> 00:11:41,800
Speaker 2: teaching people in supply chain management to go into factories

222
00:11:42,040 --> 00:11:46,520
Speaker 2: and produce goods. Today in that exact same major, we're

223
00:11:46,559 --> 00:11:49,400
Speaker 2: teaching the students how to train an AI to do

224
00:11:49,440 --> 00:11:51,760
Speaker 2: the thing that they were doing two years ago. We

225
00:11:51,800 --> 00:11:54,360
Speaker 2: are teaching our students to develop it. And you're thinking, well,

226
00:11:54,360 --> 00:11:57,079
Speaker 2: that's going to lose jobs. No, yes, you're going to

227
00:11:57,120 --> 00:11:59,200
Speaker 2: lose a job on the front end, but you're going

228
00:11:59,280 --> 00:12:02,680
Speaker 2: to make jobs the back end because your company will grow.

229
00:12:03,400 --> 00:12:05,480
Speaker 2: So you're going to have instead of five employees, you're

230
00:12:05,480 --> 00:12:09,400
Speaker 2: going to have seven. But of the five only maybe

231
00:12:09,400 --> 00:12:11,400
Speaker 2: one or two will be doing the manufacturing. The rest

232
00:12:11,400 --> 00:12:14,760
Speaker 2: will be training the new AI. So we and I've

233
00:12:14,760 --> 00:12:18,120
Speaker 2: redesigned three of my classes to be almost entirely AI

234
00:12:18,320 --> 00:12:21,800
Speaker 2: driven because that's what the economy needs. So we have

235
00:12:21,880 --> 00:12:24,720
Speaker 2: to train people to make stuff. You're right, but you

236
00:12:24,760 --> 00:12:27,439
Speaker 2: don't make it by sticking the screwdriver in a hole.

237
00:12:27,720 --> 00:12:29,840
Speaker 2: Now you make it by training the machine that doesn't.

238
00:12:30,840 --> 00:12:35,480
Speaker 1: And is there a belief that's that that retraining can

239
00:12:35,600 --> 00:12:40,360
Speaker 1: work for a large segment of population or does the

240
00:12:40,400 --> 00:12:43,720
Speaker 1: economist I'm not saying you're cold hearted, I'm not putting

241
00:12:43,720 --> 00:12:46,800
Speaker 1: this all on you. Does the economists not worry about

242
00:12:46,840 --> 00:12:47,920
Speaker 1: that part of it?

243
00:12:49,200 --> 00:12:55,040
Speaker 2: You know, you mean the pure you know, utilitarian economist

244
00:12:55,400 --> 00:12:57,520
Speaker 2: doesn't think about that part. That's why I said a

245
00:12:57,520 --> 00:13:00,160
Speaker 2: moment ago, we have to have a discussion on the

246
00:13:00,240 --> 00:13:03,520
Speaker 2: social implications of this and how do we get through it?

247
00:13:03,559 --> 00:13:06,920
Speaker 2: You know, you say frequently we must get through this.

248
00:13:06,920 --> 00:13:08,439
Speaker 2: This is one of those things. We've got to get

249
00:13:08,480 --> 00:13:09,880
Speaker 2: through it, and we need to sit around and have

250
00:13:09,960 --> 00:13:12,200
Speaker 2: a topic in a discussion and say how do we

251
00:13:12,200 --> 00:13:14,080
Speaker 2: get through it. We can't deny it, we can't put

252
00:13:14,080 --> 00:13:16,200
Speaker 2: a roadblock up and stop it. We just have to

253
00:13:16,240 --> 00:13:18,560
Speaker 2: figure out how to get through it. And that's less

254
00:13:18,559 --> 00:13:22,280
Speaker 2: of an economic discussion and more of a social discussion.

255
00:13:22,600 --> 00:13:26,880
Speaker 2: Provided the answer isn't throwing roadblocks in front of the economy.

256
00:13:26,960 --> 00:13:29,360
Speaker 2: That is not the solution. To keep us making horse

257
00:13:29,360 --> 00:13:31,840
Speaker 2: and buggies instead of cars is not the solution.

258
00:13:32,520 --> 00:13:35,400
Speaker 1: Before I let you go, is there anything about this

259
00:13:35,480 --> 00:13:38,160
Speaker 1: report that you should that you look at and say, well,

260
00:13:38,160 --> 00:13:39,400
Speaker 1: that's an awesome piece of news.

261
00:13:40,320 --> 00:13:42,720
Speaker 2: I do. I like that the financial services segment and

262
00:13:42,760 --> 00:13:45,240
Speaker 2: the wholesale segment I mentioned at the very beginning, those

263
00:13:45,240 --> 00:13:47,160
Speaker 2: are growing. And even though I've already said I want

264
00:13:47,160 --> 00:13:49,560
Speaker 2: to leave people with that, that tells us that the

265
00:13:49,600 --> 00:13:53,760
Speaker 2: manufacturing people are doing well. Now. Yes, the people on

266
00:13:53,800 --> 00:13:56,320
Speaker 2: the front line are not. Are there a fewer of them,

267
00:13:56,600 --> 00:13:58,840
Speaker 2: but the ones making the product out the door and

268
00:13:58,880 --> 00:14:01,240
Speaker 2: getting it to the custom there's a lot of those

269
00:14:01,280 --> 00:14:04,280
Speaker 2: folks being hired right now. And financial services is where

270
00:14:04,280 --> 00:14:07,800
Speaker 2: the transition occurs from the old economy to the new economy,

271
00:14:07,840 --> 00:14:10,080
Speaker 2: because it needs to transition the money from the old

272
00:14:10,080 --> 00:14:12,880
Speaker 2: to the new. There's good news to be seen in this,

273
00:14:13,760 --> 00:14:16,200
Speaker 2: but it's a tough re port Tony. I'm not going to.

274
00:14:16,240 --> 00:14:20,920
Speaker 1: Lie, doctor Matt Will, economist at the University of Indianapolis.

275
00:14:20,920 --> 00:14:22,760
Speaker 1: I appreciate you taking the time to break that down

276
00:14:22,800 --> 00:14:25,400
Speaker 1: with us. More coming up. I'm Tony Katz. This is Tony

277
00:14:25,400 --> 00:14:28,040
Speaker 1: Katz today. So while rational people are going to be

278
00:14:28,080 --> 00:14:32,760
Speaker 1: taking a look at what's going on in Iran, Democrats

279
00:14:32,800 --> 00:14:36,880
Speaker 1: are going to say, oh, look Epstein. Well that's what

280
00:14:36,880 --> 00:14:40,440
Speaker 1: they're going to say, Tony Katz, Tony Katz today, Good

281
00:14:40,520 --> 00:14:42,640
Speaker 1: to be with you. I want the full release of

282
00:14:42,640 --> 00:14:45,000
Speaker 1: the Epstein files. And I say that the Trump administration

283
00:14:45,080 --> 00:14:47,680
Speaker 1: handled this wrong from the beginning. You know where I'm

284
00:14:47,680 --> 00:14:50,680
Speaker 1: at on this. I said that clearly for months now.

285
00:14:51,240 --> 00:14:55,480
Speaker 1: The DOJ, according to News Nation, published the missing Epstein

286
00:14:55,480 --> 00:15:00,960
Speaker 1: files that include the Trump allegations. Okay, so now we're done.

287
00:15:01,200 --> 00:15:04,400
Speaker 1: Now we're all done. The department said that these files

288
00:15:04,400 --> 00:15:15,000
Speaker 1: were quote incorrectly coded as duplicative. Stop it, stop it.

289
00:15:15,000 --> 00:15:19,360
Speaker 1: It was Pambondy being an absolute moron. I said the words,

290
00:15:19,680 --> 00:15:23,160
Speaker 1: there's nothing to hide. Trump can't get hurt by this.

291
00:15:23,200 --> 00:15:26,120
Speaker 1: So what are you doing? But Trump is the guy

292
00:15:26,160 --> 00:15:28,760
Speaker 1: who said this stuff doesn't matter, and it absolutely did.

293
00:15:29,160 --> 00:15:32,160
Speaker 1: And you had a sick offen supporter saying it doesn't matter,

294
00:15:32,240 --> 00:15:36,640
Speaker 1: and the answer is, oh, yes it did. Pam Bondy

295
00:15:36,880 --> 00:15:38,680
Speaker 1: didn't know how to handle it. She doesn't know how

296
00:15:38,680 --> 00:15:44,000
Speaker 1: to handle much it's super disappointing. She's disappointing. I oh,

297
00:15:44,040 --> 00:15:48,400
Speaker 1: I had high hopes, high hopes for Pambondy didn't get there,

298
00:15:48,920 --> 00:15:51,080
Speaker 1: did not get there. Some people I didn't know what

299
00:15:51,120 --> 00:15:53,680
Speaker 1: to expect, and I've been outrageously surprised. I keep saying it.

300
00:15:53,880 --> 00:16:00,640
Speaker 1: Sean duffy Man Transportation, it's rock solid. Ruby I expected

301
00:16:00,720 --> 00:16:03,040
Speaker 1: to be solid. I think other people are surprised he's

302
00:16:03,040 --> 00:16:06,480
Speaker 1: so good. I think if you've paid attention to Rubia

303
00:16:06,520 --> 00:16:08,880
Speaker 1: over the years, only when he ran for president and

304
00:16:08,920 --> 00:16:11,000
Speaker 1: he tried to go toe for toe with Trump and

305
00:16:11,240 --> 00:16:14,400
Speaker 1: be something he wasn't, he failed. You can't be the

306
00:16:14,440 --> 00:16:17,520
Speaker 1: thing that you're not. You have a natural way of

307
00:16:17,560 --> 00:16:20,800
Speaker 1: handling yourself. You got to be able to utilize that

308
00:16:20,920 --> 00:16:23,400
Speaker 1: to your advantage. You got to be able to rock

309
00:16:23,440 --> 00:16:25,760
Speaker 1: and roll with it. Some people were just unable to

310
00:16:25,800 --> 00:16:29,600
Speaker 1: deal with Trump's insanity by being themselves. He tried a

311
00:16:29,800 --> 00:16:32,680
Speaker 1: system and it didn't work right. He tried to go

312
00:16:33,240 --> 00:16:37,080
Speaker 1: for the attack methodology. Your ability, Marco is that you're

313
00:16:37,120 --> 00:16:41,360
Speaker 1: smarter and you can explain something with less words than

314
00:16:41,400 --> 00:16:46,600
Speaker 1: any person I may have ever met. It's spectacular, good stuff.

315
00:16:47,400 --> 00:16:50,640
Speaker 1: Lots of good cabinet members, everybody's still going after Hegseth.

316
00:16:50,720 --> 00:16:54,160
Speaker 1: Hegseth has been just fine. Little hiccups here and there.

317
00:16:54,320 --> 00:16:57,400
Speaker 1: Certainly a mistake with the signal app has overcome all

318
00:16:57,400 --> 00:16:59,960
Speaker 1: of it because the operational skill set of the Pentagon

319
00:17:00,080 --> 00:17:03,880
Speaker 1: on keeping secrets, keeping things quiet, misdirection has been amazing.

320
00:17:04,960 --> 00:17:09,840
Speaker 1: They screwed up Epstein Man, they screwed it up. Now,

321
00:17:09,920 --> 00:17:13,840
Speaker 1: the release of the files is only going to push

322
00:17:13,880 --> 00:17:19,280
Speaker 1: people to continue for more of the allegations which are untrue.

323
00:17:19,720 --> 00:17:23,120
Speaker 1: We already know that they are unfounded. There's no corroboration

324
00:17:23,600 --> 00:17:28,679
Speaker 1: to Trump and underage girls, absolutely none. It's not going

325
00:17:28,720 --> 00:17:31,000
Speaker 1: to stop the left from screaming pedophile. It's what they

326
00:17:31,040 --> 00:17:34,960
Speaker 1: do now. Bill Clinton, Oh, there's a lot to talk about,

327
00:17:35,320 --> 00:17:37,439
Speaker 1: not with Hillary, and I never would have expected it

328
00:17:37,720 --> 00:17:40,200
Speaker 1: from Hillary. And again you take a look at her

329
00:17:40,200 --> 00:17:44,879
Speaker 1: deposition and you realize that, I think there are some

330
00:17:44,960 --> 00:17:47,240
Speaker 1: things you can go back and question and go over,

331
00:17:48,200 --> 00:17:50,560
Speaker 1: but there was some of it that was just meant

332
00:17:50,560 --> 00:17:52,960
Speaker 1: to insult her. And if I'm going to insult her,

333
00:17:53,160 --> 00:17:57,760
Speaker 1: it's based on policy and radical ineptitude, and of course

334
00:17:58,080 --> 00:18:00,840
Speaker 1: just her progressive bona fides is an about something that

335
00:18:00,880 --> 00:18:04,520
Speaker 1: Bill did with some other woman. That's not the stuff

336
00:18:04,600 --> 00:18:07,199
Speaker 1: we should be going after. There's so much to go

337
00:18:07,280 --> 00:18:11,040
Speaker 1: after now, Bill and young girls in hot tubs, go

338
00:18:11,119 --> 00:18:13,400
Speaker 1: after all of it. And the fact that he's looking

339
00:18:13,440 --> 00:18:16,640
Speaker 1: at these photos and he's kind of smiling, He's like, Oh,

340
00:18:16,800 --> 00:18:21,040
Speaker 1: that was a great time. That was a great dude.

341
00:18:21,080 --> 00:18:23,320
Speaker 1: He is what he is, what he is, and I

342
00:18:23,359 --> 00:18:25,760
Speaker 1: do think he lied under oath. He was asked, have

343
00:18:25,840 --> 00:18:29,399
Speaker 1: you ever lied in a deposition? He's like, no, what

344
00:18:29,520 --> 00:18:33,119
Speaker 1: it can Starr prosecute for? Of course you lied regarding

345
00:18:33,160 --> 00:18:38,280
Speaker 1: Monica Lewinski. Of course you lied. You fraud going after him?

346
00:18:38,760 --> 00:18:46,320
Speaker 1: Totally fine and rational. He knows things. He is a

347
00:18:46,359 --> 00:18:50,680
Speaker 1: real issue with Epstein. He is a problem. Bill Gates

348
00:18:50,920 --> 00:18:55,960
Speaker 1: is a problem. Investigate these people up and down. Not

349
00:18:56,119 --> 00:18:59,840
Speaker 1: because I'm saying just go after somebody. There is already

350
00:19:00,160 --> 00:19:03,199
Speaker 1: enough to make you believe that there's an issue. You

351
00:19:03,240 --> 00:19:06,840
Speaker 1: don't have it. On Trump. You've got silly allegations that

352
00:19:06,880 --> 00:19:10,280
Speaker 1: have already been proven to be nonsense with no corroboration whatsoever.

353
00:19:11,080 --> 00:19:13,359
Speaker 1: Bill Clinton, you have a painting of him in a

354
00:19:13,400 --> 00:19:16,600
Speaker 1: blue dress in Jeffrey Epstein's home. Is there anything else

355
00:19:16,640 --> 00:19:21,399
Speaker 1: we need to discuss? Yes, Iran and what's going on

356
00:19:21,480 --> 00:19:23,480
Speaker 1: and how easily this will all be won? Can it

357
00:19:23,560 --> 00:19:26,560
Speaker 1: be done in five weeks? Can you replace? Can you

358
00:19:26,560 --> 00:19:29,239
Speaker 1: actually put a new leadership? These are the questions. If

359
00:19:29,240 --> 00:19:31,800
Speaker 1: you don't have answers today, we're gonna have to start

360
00:19:31,880 --> 00:19:34,960
Speaker 1: asking a little more about this next week. We really are,

361
00:19:35,000 --> 00:19:37,600
Speaker 1: and we will, we will, I will get more into it.

362
00:19:37,680 --> 00:19:38,040
Speaker 3: Keep it here.

363
00:19:38,080 --> 00:19:45,760
Speaker 1: I'm Tony Kats. This is Tony Kats today. So it's

364
00:19:45,760 --> 00:19:49,639
Speaker 1: Mark Wwayne Mullen, the senator from Oklahoma, the pick to

365
00:19:49,680 --> 00:19:52,800
Speaker 1: replace Christy Nome. Tony Katz, Tony Kats today. Good to

366
00:19:52,800 --> 00:19:57,199
Speaker 1: be here, Good to be with you, And well, I

367
00:19:57,240 --> 00:20:02,360
Speaker 1: think I think he's pleased. I think he's happy about

368
00:20:02,560 --> 00:20:09,080
Speaker 1: this opportunity. Who wouldn't be. And he was outside of

369
00:20:09,119 --> 00:20:14,040
Speaker 1: the capital and was asked about it, like, hey, uh,

370
00:20:14,280 --> 00:20:16,680
Speaker 1: did you know that this was coming your way? Listen.

371
00:20:17,000 --> 00:20:19,160
Speaker 1: I am super excited about this opportunity.

372
00:20:20,320 --> 00:20:23,000
Speaker 4: It came at a not a complete surprise, but it

373
00:20:23,040 --> 00:20:24,080
Speaker 4: came at a little bit of surprise.

374
00:20:24,160 --> 00:20:24,440
Speaker 2: Course.

375
00:20:24,600 --> 00:20:27,640
Speaker 4: And so the president, as you guys know, we're great

376
00:20:27,680 --> 00:20:29,960
Speaker 4: friends and we get along great. I look forward to

377
00:20:30,000 --> 00:20:31,640
Speaker 4: working with him in his cabinet. Of course, from star

378
00:20:31,720 --> 00:20:34,719
Speaker 4: gotta go this little thing called confirmation, and we're going

379
00:20:34,760 --> 00:20:35,720
Speaker 4: to get started on right away.

380
00:20:35,760 --> 00:20:38,680
Speaker 1: Tell me about you guys.

381
00:20:38,880 --> 00:20:40,640
Speaker 4: You guys have been with me long enough, asked.

382
00:20:40,440 --> 00:20:41,000
Speaker 1: Me enough questions.

383
00:20:41,040 --> 00:20:42,360
Speaker 4: You know I don't share a private conversation.

384
00:20:42,600 --> 00:20:42,879
Speaker 1: You tell me.

385
00:20:42,960 --> 00:20:45,439
Speaker 5: You tell me your reaction into the White House today.

386
00:20:45,800 --> 00:20:47,399
Speaker 4: I don't think I'm going today. I think I need

387
00:20:47,400 --> 00:20:50,560
Speaker 4: to talk to my wife first.

388
00:20:51,240 --> 00:20:53,320
Speaker 2: Tell us your reaction when you got the phone call

389
00:20:53,400 --> 00:20:53,840
Speaker 2: from him.

390
00:20:54,640 --> 00:20:57,160
Speaker 1: I was excited. I mean, you saw his name calling.

391
00:20:57,560 --> 00:20:58,440
Speaker 2: Well it came from.

392
00:20:58,320 --> 00:20:59,840
Speaker 4: The White House, so it came from the switchboard.

393
00:21:00,240 --> 00:21:01,640
Speaker 1: But I was excited.

394
00:21:01,680 --> 00:21:05,119
Speaker 4: I the President first, all the President. I have a

395
00:21:05,119 --> 00:21:07,240
Speaker 4: really good relationship when we talk all the time. Anyways,

396
00:21:08,160 --> 00:21:09,840
Speaker 4: I wasn't I've got to be honest with ire. I

397
00:21:09,880 --> 00:21:13,280
Speaker 4: wasn't expecting the call today, but super excited and I'm

398
00:21:13,400 --> 00:21:15,439
Speaker 4: and I'm more excited about just ready to get started.

399
00:21:15,520 --> 00:21:16,919
Speaker 4: There's a lot of work we can do to get

400
00:21:16,920 --> 00:21:20,080
Speaker 4: the Apartment of Homeland Security working, you know, working for

401
00:21:20,119 --> 00:21:22,280
Speaker 4: the American people, you know, part of Homeland Security. God

402
00:21:22,359 --> 00:21:27,560
Speaker 4: has a very broad jurisdiction, and I think there's a

403
00:21:27,560 --> 00:21:29,760
Speaker 4: lot of work that we need to do, and I'm

404
00:21:29,760 --> 00:21:30,320
Speaker 4: excited about.

405
00:21:30,320 --> 00:21:32,240
Speaker 1: It's gott to vote for you.

406
00:21:32,240 --> 00:21:34,200
Speaker 6: Do you expect other Democrats to vote for you? I?

407
00:21:34,800 --> 00:21:37,560
Speaker 4: Uh, John already texts me, and of course you guys

408
00:21:37,600 --> 00:21:40,439
Speaker 4: know John and our friends too, and so I don't know.

409
00:21:40,480 --> 00:21:42,120
Speaker 1: We're we're going to try to earn everybody's vote.

410
00:21:42,280 --> 00:21:44,960
Speaker 4: I want people to understand I'm not when I go

411
00:21:45,000 --> 00:21:46,920
Speaker 4: into this position. Yes I'm a Republican.

412
00:21:47,040 --> 00:21:48,640
Speaker 1: Yes I'm conservative, but.

413
00:21:48,600 --> 00:21:50,800
Speaker 4: The partment Home and Security is to keep everybody, regardless

414
00:21:50,800 --> 00:21:53,399
Speaker 4: of you support me, if you don't support me, regardless of

415
00:21:53,440 --> 00:21:56,120
Speaker 4: what your thoughts are. I'm here to enforce the policies

416
00:21:56,200 --> 00:21:59,199
Speaker 4: that Congress passed, and right now I'm part of it.

417
00:21:59,240 --> 00:22:02,520
Speaker 4: But once I make that transition, my focus is to

418
00:22:02,640 --> 00:22:05,520
Speaker 4: keep the homeland secure. That's going to be my focus.

419
00:22:05,640 --> 00:22:10,000
Speaker 1: And we're super excited about this articpanty smart answer. It's

420
00:22:10,000 --> 00:22:12,640
Speaker 1: the right answer. Hey, I'm hoping to get Democrat votes.

421
00:22:12,680 --> 00:22:14,679
Speaker 1: I'm not going to comment on which Democrats are going

422
00:22:14,720 --> 00:22:17,399
Speaker 1: to vote for me or not, because I don't know

423
00:22:17,400 --> 00:22:19,439
Speaker 1: if everybody, every Republican is going to vote for him.

424
00:22:19,480 --> 00:22:22,440
Speaker 1: But remember you've got jd Evans as a tie breaking vote.

425
00:22:22,440 --> 00:22:26,080
Speaker 1: If it becomes a fifty to fifty, everything's so unbelievably

426
00:22:26,160 --> 00:22:29,680
Speaker 1: outrageously partisan. I mean, wait till you start seeing the

427
00:22:30,200 --> 00:22:34,040
Speaker 1: oppo research that dumps on Mark Wayne Mullen. Oh, he's

428
00:22:34,080 --> 00:22:37,040
Speaker 1: too much of a Trump yes man. And it's all coming.

429
00:22:37,920 --> 00:22:41,680
Speaker 1: It's all coming. And Democrats have been very, very very

430
00:22:41,800 --> 00:22:47,159
Speaker 1: clear they don't care that Christinome was fired. They're not

431
00:22:47,320 --> 00:22:49,760
Speaker 1: going to vote to fund the Department of Homeland Security.

432
00:22:50,200 --> 00:22:55,879
Speaker 7: Christinome has been fired consistent with what we have demanded

433
00:22:56,200 --> 00:22:59,960
Speaker 7: on behalf of the American people. Well, let me also

434
00:23:00,160 --> 00:23:04,760
Speaker 7: make clear a change in personnel is not sufficient. We

435
00:23:04,800 --> 00:23:10,880
Speaker 7: need a change in policy and that has to be bold, dramatic, transformational,

436
00:23:11,320 --> 00:23:12,040
Speaker 7: and meaningful.

437
00:23:12,920 --> 00:23:14,639
Speaker 1: I don't know what that means, and neither does he.

438
00:23:15,600 --> 00:23:17,919
Speaker 1: But they are still not going to fund the Department

439
00:23:17,960 --> 00:23:21,480
Speaker 1: of Homeland Security. They don't care. And Republicans have to

440
00:23:21,520 --> 00:23:24,720
Speaker 1: talk about this. Democrats don't care if your kids get killed.

441
00:23:24,920 --> 00:23:27,920
Speaker 1: They're not going to fund Homeland Security because they hate

442
00:23:27,920 --> 00:23:30,240
Speaker 1: Trump more than they love your kids, more than they

443
00:23:30,240 --> 00:23:32,879
Speaker 1: love America's future, more than they love their own kids.

444
00:23:33,000 --> 00:23:35,800
Speaker 1: These people are vicious animals, and if you vote for them,

445
00:23:36,040 --> 00:23:40,320
Speaker 1: your kids are going to die. That's how they have

446
00:23:40,400 --> 00:23:42,320
Speaker 1: to talk about it. Oh yeah, it's gotta be that

447
00:23:42,440 --> 00:23:45,359
Speaker 1: rough because I hear you it sounds crazy, right, I

448
00:23:45,400 --> 00:23:49,720
Speaker 1: wholeheartedly agree, But what is the answer here? How else

449
00:23:49,800 --> 00:23:52,480
Speaker 1: are you going to crack through? Breakthrough? You have to

450
00:23:52,480 --> 00:23:55,920
Speaker 1: put them on their heels. They don't care about the country.

451
00:23:56,119 --> 00:23:59,360
Speaker 1: They hate Trump more than anything. They don't care who suffers,

452
00:23:59,520 --> 00:24:03,240
Speaker 1: they don't care who dies, they don't care what happens.

453
00:24:03,320 --> 00:24:07,160
Speaker 1: As long as they beat Trump. Nothing matters to them.

454
00:24:08,040 --> 00:24:13,720
Speaker 1: It's true, true craziness. Now speaking of true craziness about

455
00:24:13,760 --> 00:24:16,320
Speaker 1: where they are. What they're the left is all about.

456
00:24:16,480 --> 00:24:23,320
Speaker 1: Did you hear this story about Seth Moulton. Seth Moulton

457
00:24:24,000 --> 00:24:30,720
Speaker 1: is a congressman, m ou l Ton, Seth Maulton, and

458
00:24:30,800 --> 00:24:35,320
Speaker 1: he at the State of the Union, like many leftists did,

459
00:24:36,640 --> 00:24:39,960
Speaker 1: brought in someone to be a part of the State

460
00:24:40,000 --> 00:24:43,080
Speaker 1: of the Union, to be an attendee of the State

461
00:24:43,160 --> 00:24:46,239
Speaker 1: of the Union, to show a President Trump that we

462
00:24:46,320 --> 00:24:53,000
Speaker 1: support immigrants. Remember, they lie about everything, They lie about everything. Everywhere.

463
00:24:53,240 --> 00:24:56,080
Speaker 1: No one's talking about legal immigrants. No one's talking about

464
00:24:56,160 --> 00:25:00,600
Speaker 1: legal immigration. We're only talking about illegal immigration. And the

465
00:25:00,760 --> 00:25:03,320
Speaker 1: left lies about everything. They won't even admit that there

466
00:25:03,400 --> 00:25:06,480
Speaker 1: is a legal immigration. They're still dumb enough to use

467
00:25:06,520 --> 00:25:14,960
Speaker 1: the term undocumented dangerous, dangerous people. Well, Seth Moulton brings

468
00:25:15,119 --> 00:25:21,199
Speaker 1: in a guy named Marcelo Gomez de Silva, and he

469
00:25:21,240 --> 00:25:25,359
Speaker 1: even does a little interview with this guy right in his.

470
00:25:25,400 --> 00:25:28,159
Speaker 8: Office here with Marcello getting ready for the State of

471
00:25:28,160 --> 00:25:30,359
Speaker 8: the Union tonight. This is gonna be a wild speech.

472
00:25:30,359 --> 00:25:33,679
Speaker 8: They say it might go three hours, So you were

473
00:25:33,680 --> 00:25:36,600
Speaker 8: smart to be drinking red bull before I'm gonna have

474
00:25:36,600 --> 00:25:38,480
Speaker 8: a coffee. There are probably gonna be a lot of lies,

475
00:25:38,720 --> 00:25:40,720
Speaker 8: a lot of lies, a lot of hateful stuff that

476
00:25:40,760 --> 00:25:43,359
Speaker 8: he's gonna say. That's what he does. How are you

477
00:25:43,400 --> 00:25:45,800
Speaker 8: feeling about that? I wouldn't say I'm super excited. There's

478
00:25:45,840 --> 00:25:47,800
Speaker 8: a lot of morals that he has that I don't

479
00:25:47,840 --> 00:25:50,560
Speaker 8: agree with. A lot of the things that he's doing.

480
00:25:50,400 --> 00:25:54,600
Speaker 7: Lately are separating multiple families and I don't agree with it.

481
00:25:55,240 --> 00:25:58,160
Speaker 1: So he doesn't agree with removing illegal immigrants, and he

482
00:25:58,200 --> 00:26:04,280
Speaker 1: wants to talk about morals. There are police reports that

483
00:26:04,440 --> 00:26:08,680
Speaker 1: say this guy is involved in sexual assaults and minors.

484
00:26:10,880 --> 00:26:18,399
Speaker 1: That's the story. This guy who ended up leaving the

485
00:26:18,440 --> 00:26:22,439
Speaker 1: State of the Union because Homeland Security was like, do

486
00:26:22,520 --> 00:26:28,640
Speaker 1: you know you just brought to the White House. They wrote,

487
00:26:28,800 --> 00:26:31,760
Speaker 1: represented Malten plans to bring an i llegal alien. Marcelo

488
00:26:31,800 --> 00:26:34,720
Speaker 1: Gomez de Silva gomaz Disilva is an illegal alien who

489
00:26:34,720 --> 00:26:36,560
Speaker 1: has no right to be in our nation. We are

490
00:26:36,560 --> 00:26:39,120
Speaker 1: committed to enforcing the law and fighting for the arrest, attention,

491
00:26:39,200 --> 00:26:46,200
Speaker 1: and removal of aliens like him. This guy is accused

492
00:26:46,200 --> 00:26:49,600
Speaker 1: of having a criminal record. Seth Malten is like, there's

493
00:26:49,680 --> 00:26:55,840
Speaker 1: no criminal record for this guy, zero criminal record. The Herald,

494
00:26:56,760 --> 00:27:01,600
Speaker 1: The Boston Herald did some digging and as reported, the

495
00:27:01,640 --> 00:27:04,119
Speaker 1: Herald submitted a public record's request to the Secretary of

496
00:27:04,119 --> 00:27:07,520
Speaker 1: State's office in the Milford Police Department regarding two reports,

497
00:27:08,080 --> 00:27:10,080
Speaker 1: one from June and the other from September of twenty

498
00:27:10,119 --> 00:27:14,720
Speaker 1: twenty one, where Marcelo Gomez de Silva was apparently named

499
00:27:14,720 --> 00:27:18,120
Speaker 1: as the person of interest. And they found two police

500
00:27:18,119 --> 00:27:23,800
Speaker 1: reports that featured him and they quote involve a sexual

501
00:27:23,800 --> 00:27:27,600
Speaker 1: assault in juveniles. And the report from twenty twenty from September,

502
00:27:27,640 --> 00:27:30,160
Speaker 1: So that was a report from June. The report from

503
00:27:30,320 --> 00:27:33,880
Speaker 1: September twenty twenty one involves juveniles. He was nineteen at

504
00:27:33,920 --> 00:27:40,879
Speaker 1: the time. That's this guy. That's who Congressman Seth Moulton,

505
00:27:41,040 --> 00:27:45,280
Speaker 1: Democrat Massachusetts brought to the State of the Union to

506
00:27:45,480 --> 00:27:49,119
Speaker 1: lecture to us about morals. I will say it again,

507
00:27:49,560 --> 00:27:52,959
Speaker 1: for the people in the cheap seats, ICE has to

508
00:27:53,080 --> 00:27:56,080
Speaker 1: keep going. I don't care what's happened with Christine. No,

509
00:27:56,240 --> 00:27:59,159
Speaker 1: I don't care she has the job or not. It

510
00:27:59,200 --> 00:28:04,920
Speaker 1: doesn't mean a damn thing to me. I've said this

511
00:28:05,040 --> 00:28:07,040
Speaker 1: last week. I say it now that she has the job,

512
00:28:07,080 --> 00:28:11,040
Speaker 1: that she doesn't have the job is completely consequential. Somebody

513
00:28:11,080 --> 00:28:13,520
Speaker 1: else has to have the job then. But ICE has

514
00:28:13,560 --> 00:28:16,880
Speaker 1: to keep going. ICE has to keep doing its work.

515
00:28:16,960 --> 00:28:21,280
Speaker 1: I was on Newsmax earlier this week and I was

516
00:28:21,640 --> 00:28:25,840
Speaker 1: it was the right after the hearing happened with the

517
00:28:25,880 --> 00:28:28,440
Speaker 1: Senate Judiciary that no one was part of that went

518
00:28:28,720 --> 00:28:32,679
Speaker 1: very very poorly, uh. And it was Tom Tillis yelling

519
00:28:32,680 --> 00:28:35,280
Speaker 1: at her and other people asking questions because there are

520
00:28:35,320 --> 00:28:37,359
Speaker 1: things that Homeland has been doing that are very very good,

521
00:28:38,120 --> 00:28:41,840
Speaker 1: very fine. Maybe she hasn't, but Homeland has. And it

522
00:28:41,920 --> 00:28:46,000
Speaker 1: was a conversation about that and how it connects the

523
00:28:46,000 --> 00:28:48,000
Speaker 1: safety and security of the nation to what's going on

524
00:28:48,040 --> 00:28:52,200
Speaker 1: with Iran. Listen, by lawmakers, take a listen.

525
00:28:54,440 --> 00:28:59,040
Speaker 6: What we've seen is a disaster under your leadership Missnome

526
00:28:59,320 --> 00:29:02,960
Speaker 6: a disaster and estimated one point nine million through self deportation.

527
00:29:03,600 --> 00:29:07,000
Speaker 6: That's just an extraordinary record, a complete turnaround from the

528
00:29:07,080 --> 00:29:10,120
Speaker 6: utter chaos and disaster we saw at the border under

529
00:29:10,160 --> 00:29:10,880
Speaker 6: your predecessor.

530
00:29:10,960 --> 00:29:14,680
Speaker 2: How did you think that calling them domestic terrorists at

531
00:29:14,720 --> 00:29:17,960
Speaker 2: that scene was somehow going to calm the situation?

532
00:29:18,960 --> 00:29:22,160
Speaker 5: You know, Senator, we are working in those situations where

533
00:29:22,200 --> 00:29:24,600
Speaker 5: there's a tragic loss of life and that there is

534
00:29:24,640 --> 00:29:27,400
Speaker 5: something that our agents are involved in that we continue

535
00:29:27,520 --> 00:29:30,280
Speaker 5: to delivery information. The patriots that work at the Department

536
00:29:30,280 --> 00:29:33,000
Speaker 5: of Homeland Security still get up every day and do

537
00:29:33,040 --> 00:29:35,600
Speaker 5: their jobs and work hard to protect the American people.

538
00:29:35,640 --> 00:29:41,520
Speaker 5: We are damaging families. To make a political point, Tony,

539
00:29:41,560 --> 00:29:42,800
Speaker 5: I want to get your take on the back and

540
00:29:42,840 --> 00:29:45,880
Speaker 5: forth there and also this taking place right now with

541
00:29:45,960 --> 00:29:49,080
Speaker 5: what we're seeing taking place over in the Middle East.

542
00:29:50,240 --> 00:29:52,920
Speaker 1: Well, first I would remind Senator Tom tell Us that

543
00:29:52,960 --> 00:29:55,440
Speaker 1: he is right. We are disgusted by what we are seeing,

544
00:29:55,760 --> 00:29:59,720
Speaker 1: and that is him posturing himself there in front of

545
00:30:00,440 --> 00:30:03,360
Speaker 1: Secretary Nomen, front of the Senate as if somehow the

546
00:30:03,440 --> 00:30:06,560
Speaker 1: utilization of ICE is a bad thing, a legal immigration

547
00:30:06,640 --> 00:30:08,520
Speaker 1: is wrong and we should remove a legal immigrants from

548
00:30:08,520 --> 00:30:11,520
Speaker 1: the country. Legal immigration is fantastic. We should have systems

549
00:30:11,520 --> 00:30:14,040
Speaker 1: that ensure that we get the very best people coming

550
00:30:14,120 --> 00:30:17,320
Speaker 1: into the country. But this is as you're bringing up

551
00:30:17,720 --> 00:30:21,000
Speaker 1: the conversation of defunding the Department of Homeland Security, which

552
00:30:21,040 --> 00:30:23,520
Speaker 1: means we don't have a coast Guard at full effect

553
00:30:23,640 --> 00:30:26,000
Speaker 1: with full dollars, which means we don't have a series

554
00:30:26,040 --> 00:30:28,800
Speaker 1: of things happening to keep Americans safe, whether it's fentanyl

555
00:30:28,880 --> 00:30:31,480
Speaker 1: coming into the country or as we see this action

556
00:30:31,560 --> 00:30:35,040
Speaker 1: in Iran, what about this conversation of terra cells. Never

557
00:30:35,120 --> 00:30:38,200
Speaker 1: mind those who might enter the country now those who

558
00:30:38,200 --> 00:30:41,040
Speaker 1: are let in. Under President Biden, for four years when

559
00:30:41,080 --> 00:30:43,920
Speaker 1: open borders was not only happening, it seemed to be

560
00:30:43,960 --> 00:30:47,600
Speaker 1: a strategy, this slow murdering or suiciding of the nation.

561
00:30:48,040 --> 00:30:50,320
Speaker 1: We can argue that for years we didn't do enough

562
00:30:50,360 --> 00:30:53,520
Speaker 1: to secure the border. The four years of Biden were horrifying.

563
00:30:53,840 --> 00:30:56,520
Speaker 1: That's where our anger and our disgust should be. We

564
00:30:56,560 --> 00:31:00,400
Speaker 1: should absolutely right now demand the funding of the Department

565
00:31:00,440 --> 00:31:04,000
Speaker 1: of Homeland Security to ensure this level of safety and security.

566
00:31:04,120 --> 00:31:07,160
Speaker 1: And you can do that while demanding that you want

567
00:31:07,320 --> 00:31:10,040
Speaker 1: more information about why these shootings of Renee Good and

568
00:31:10,080 --> 00:31:13,400
Speaker 1: Alex pretty took case took place, and what better can

569
00:31:13,480 --> 00:31:15,840
Speaker 1: be done for ICE to do its job properly? But

570
00:31:15,920 --> 00:31:18,960
Speaker 1: I should keep doing its job. Can't say it enough.

571
00:31:20,200 --> 00:31:22,520
Speaker 1: ICE needs to triple down and keep doing its work.

572
00:31:22,960 --> 00:31:25,200
Speaker 1: Do not stop, do not rest, and do not quit.

573
00:31:26,160 --> 00:31:28,960
Speaker 1: The left has made a decision, and it is the

574
00:31:29,000 --> 00:31:31,240
Speaker 1: weirdest decision, but it goes back to what we were

575
00:31:31,240 --> 00:31:35,000
Speaker 1: talking about regarding the funding of the Department of Homeland Security.

576
00:31:35,400 --> 00:31:38,040
Speaker 1: They don't care that it's bad for all of us.

577
00:31:38,440 --> 00:31:42,280
Speaker 1: They care that they beat Trump. That's what they care about.

578
00:31:43,280 --> 00:31:45,720
Speaker 1: Christine Oham was the problem. Christy Oham was the issue.

579
00:31:45,800 --> 00:31:49,480
Speaker 1: Christin Home is gone now, as we've discussed, I really

580
00:31:49,480 --> 00:31:51,840
Speaker 1: do think it was about Corey Lewandowski, and I really

581
00:31:51,880 --> 00:31:54,120
Speaker 1: do think it was about the ad spend, and I

582
00:31:54,160 --> 00:31:58,400
Speaker 1: think that Senator John Kennedy ended her career and this

583
00:31:58,480 --> 00:32:02,479
Speaker 1: whole thing that she's going to be the special Envoy

584
00:32:03,000 --> 00:32:07,520
Speaker 1: for the Shield for the Americas, this is I don't

585
00:32:07,520 --> 00:32:10,640
Speaker 1: think she'll be in that job a year. It will

586
00:32:10,640 --> 00:32:14,440
Speaker 1: be the most non talked about job ever. There's also

587
00:32:14,640 --> 00:32:18,520
Speaker 1: a rumor that she's thinking of running for Senate against

588
00:32:18,520 --> 00:32:23,440
Speaker 1: Mike Rounds. R U n DS Mike Rounds in South Dakota.

589
00:32:23,920 --> 00:32:25,600
Speaker 1: I don't know if she still has the popularity in

590
00:32:25,640 --> 00:32:27,480
Speaker 1: South Dakota. I'd have to really dig in a little

591
00:32:27,520 --> 00:32:32,760
Speaker 1: bit to find that out. This was Trump's saying, I'm disgusted,

592
00:32:33,600 --> 00:32:36,640
Speaker 1: my god. Don't ever make it about you when it's

593
00:32:36,680 --> 00:32:39,120
Speaker 1: all about me, which we can all agree that he's

594
00:32:39,280 --> 00:32:41,600
Speaker 1: like that, and certainly never make it all about you.

595
00:32:41,640 --> 00:32:43,520
Speaker 1: At least make it all about America, which is the

596
00:32:43,560 --> 00:32:46,600
Speaker 1: conversation we have all the time. Don't put me in

597
00:32:46,640 --> 00:32:50,960
Speaker 1: a bad position. This was also a I really don't

598
00:32:51,000 --> 00:32:52,200
Speaker 1: want to get rid of her because I don't want

599
00:32:52,200 --> 00:32:53,920
Speaker 1: to give the lefties a win here. You know what,

600
00:32:54,000 --> 00:32:56,800
Speaker 1: I'll move her over here and it'll be a soft landing,

601
00:32:57,000 --> 00:33:00,320
Speaker 1: and then I can move her out. She's never after

602
00:33:00,360 --> 00:33:02,040
Speaker 1: getting fired yesterday, if she was in the White House

603
00:33:02,120 --> 00:33:04,160
Speaker 1: or not in the Oval nine, I don't know. She's

604
00:33:04,200 --> 00:33:06,560
Speaker 1: never going back to the Oval. I can't I can't

605
00:33:06,600 --> 00:33:10,400
Speaker 1: imagine the rarest of situations She's gonna go back to

606
00:33:10,440 --> 00:33:12,000
Speaker 1: the Oval. But Trump's always gonna be like, it's a

607
00:33:12,000 --> 00:33:15,080
Speaker 1: great relationship, it's wonderful. He's gonna do all those things.

608
00:33:17,200 --> 00:33:21,640
Speaker 1: The left will only move if they can destroy Trump.

609
00:33:22,240 --> 00:33:24,840
Speaker 1: And this is why the political right has to move

610
00:33:25,120 --> 00:33:29,360
Speaker 1: so aggressively on two fronts. Number one, Democrats are okay

611
00:33:29,400 --> 00:33:33,320
Speaker 1: with your kids dying of fentanyl. They don't care. And

612
00:33:33,440 --> 00:33:37,120
Speaker 1: number two, Ice keep doing their job. Keep doing your job,

613
00:33:38,080 --> 00:33:42,760
Speaker 1: keep touting the successes. Everywhere there's a success. Don't stop,

614
00:33:42,880 --> 00:33:48,720
Speaker 1: don't rest, don't quit, keep doing the work. This is

615
00:33:48,720 --> 00:33:52,400
Speaker 1: what we voted for. It's wildly popular. Ninety seven percent

616
00:33:53,720 --> 00:33:56,720
Speaker 1: support Trump deporting criminal legals. Now that might just be

617
00:33:56,800 --> 00:34:00,520
Speaker 1: within the Republican Party, but the numbers overall are massive.

618
00:34:00,800 --> 00:34:03,080
Speaker 1: So keep doing it. And even if it wasn't popular,

619
00:34:03,280 --> 00:34:05,160
Speaker 1: keep doing it. Because these people broke the law. We

620
00:34:05,200 --> 00:34:09,680
Speaker 1: go after lawbreakers in the United States of America. Don't stop.

621
00:34:10,520 --> 00:34:14,560
Speaker 1: Shripple down. That's my advice. This is Tony Katz today.

622
00:34:14,960 --> 00:34:17,480
Speaker 1: I still don't know why people are talking to James Carvel.

623
00:34:18,280 --> 00:34:23,160
Speaker 1: I mean nasty, bitter saying that Trump has syphilis. The screaming,

624
00:34:23,239 --> 00:34:28,040
Speaker 1: the yelling. He wants to to march conservatives down the

625
00:34:28,080 --> 00:34:32,880
Speaker 1: street like their Circey Lanister, with people yelling shame. He's

626
00:34:32,920 --> 00:34:35,920
Speaker 1: a gross guy. Yet there are people who still put

627
00:34:36,000 --> 00:34:38,600
Speaker 1: him on the air. Tony Katz Tony Katz today. Good

628
00:34:38,600 --> 00:34:42,040
Speaker 1: to be with you, stephen A. Smith. I get it.

629
00:34:42,080 --> 00:34:46,120
Speaker 1: You're dabbling in the politics. It's adorbs. Hey, everyone's allowed

630
00:34:46,160 --> 00:34:48,720
Speaker 1: in an opinion. That's why I get to talk about sports.

631
00:34:48,960 --> 00:34:51,200
Speaker 1: No one's gonna tell me I can't. But he has

632
00:34:51,239 --> 00:34:53,560
Speaker 1: got Carvel on the show, and I didn't know that

633
00:34:53,680 --> 00:34:57,120
Speaker 1: James Carvel was saying that ilhan O Maher needs to

634
00:34:57,200 --> 00:34:58,879
Speaker 1: leave the Democratic Party, but.

635
00:34:59,000 --> 00:35:03,000
Speaker 3: She shaw it hacking white males, and I'm to say,

636
00:35:03,000 --> 00:35:03,719
Speaker 3: wait a minute.

637
00:35:03,520 --> 00:35:05,399
Speaker 1: Let's stop. All right.

638
00:35:05,440 --> 00:35:08,799
Speaker 3: In nineteen twenty twenty four, seventy two percent of the

639
00:35:08,840 --> 00:35:10,640
Speaker 3: people got voted white.

640
00:35:11,080 --> 00:35:12,839
Speaker 1: All right, that's just a fact.

641
00:35:13,120 --> 00:35:18,400
Speaker 3: Of that seventy two, probably forty eight percent the forty

642
00:35:18,440 --> 00:35:21,160
Speaker 3: eight and a half were males. So it's some way around.

643
00:35:21,239 --> 00:35:23,759
Speaker 3: I did the math on to think about thirty three

644
00:35:23,800 --> 00:35:26,120
Speaker 3: percent of the people got to go vote. I're gonna

645
00:35:26,120 --> 00:35:29,680
Speaker 3: be white males. Well, it's stupid to attack thirty three

646
00:35:29,719 --> 00:35:30,680
Speaker 3: percent of the voters.

647
00:35:31,760 --> 00:35:33,799
Speaker 1: That's exactly who the left is, and that's exactly what

648
00:35:33,840 --> 00:35:35,239
Speaker 1: they want to do, and they're not going to stop

649
00:35:35,239 --> 00:35:38,000
Speaker 1: attacking the voters. What's weird is they keep voting for

650
00:35:38,040 --> 00:35:39,960
Speaker 1: white men over black women. Like we saw in the

651
00:35:39,960 --> 00:35:44,560
Speaker 1: Texas primary, Gavin Newsom is the lead nominee. They don't care.

652
00:35:45,280 --> 00:35:48,560
Speaker 1: They'll make them the nominees. But that's not gonna stop Ilhano,

653
00:35:48,640 --> 00:35:51,759
Speaker 1: Marvis sin It's lib or any of these awful Karens

654
00:35:52,080 --> 00:35:55,839
Speaker 1: from hitting white men every step of the way. It's

655
00:35:55,880 --> 00:35:59,200
Speaker 1: baked into the DNA. This is what you created, this

656
00:35:59,280 --> 00:36:02,359
Speaker 1: is what you raise. Don't be surprised. Find everything at

657
00:36:02,360 --> 00:36:04,719
Speaker 1: Tony kats dot com Monday. Everyone, take care,