1 00:00:00,160 --> 00:00:02,960 Speaker 1: So the jobs numbers came out and the market went nuts. 2 00:00:02,960 --> 00:00:05,160 Speaker 1: There was a moment where the market was over six hundred. 3 00:00:05,160 --> 00:00:07,760 Speaker 1: I do not know where it's going to end today. 4 00:00:07,800 --> 00:00:10,000 Speaker 1: It could end over one thousand, it could end down. Listen, 5 00:00:10,039 --> 00:00:12,800 Speaker 1: I have no crystal ball. What I know is these 6 00:00:12,920 --> 00:00:16,120 Speaker 1: jobs numbers are from September. And you're like, Tony, it's November. 7 00:00:16,360 --> 00:00:19,360 Speaker 1: Well there was a shutdown, which makes one wonder do 8 00:00:19,440 --> 00:00:21,880 Speaker 1: these job numbers mean anything at all? 9 00:00:22,560 --> 00:00:25,680 Speaker 2: And is that what's moving the market? Tony Katz, Tony 10 00:00:25,760 --> 00:00:27,319 Speaker 2: Katz today, good to be with you. 11 00:00:27,400 --> 00:00:30,760 Speaker 1: Doctor Mattwill joins me right now, economist at the University 12 00:00:30,760 --> 00:00:34,520 Speaker 1: of Indianapolis. I sent this to you. Actually, I didn't 13 00:00:34,520 --> 00:00:36,400 Speaker 1: even get a chance to send this to you. You 14 00:00:36,520 --> 00:00:39,320 Speaker 1: immediately are sending me a text and you're like, yeah, yeah, 15 00:00:39,360 --> 00:00:43,000 Speaker 1: this ain't this ain't nothing, Tony, this is not even 16 00:00:43,560 --> 00:00:44,040 Speaker 1: a thing. 17 00:00:44,680 --> 00:00:47,959 Speaker 2: You've seen the job's numbers, right, you. 18 00:00:47,960 --> 00:00:51,040 Speaker 1: Took a look at what it is that happened, adding 19 00:00:51,080 --> 00:00:56,160 Speaker 1: one hundred and nineteen thousand jobs in September. That's well 20 00:00:56,200 --> 00:00:59,880 Speaker 1: over the estimate. But your argument is, Tony, it does 21 00:01:00,000 --> 00:01:02,920 Speaker 1: doesn't mean anything. Talk to me about the job's numbers 22 00:01:02,920 --> 00:01:03,720 Speaker 1: and what you're seeing. 23 00:01:04,440 --> 00:01:07,560 Speaker 3: Well, the reason it's meaningless is because there's lots of 24 00:01:07,560 --> 00:01:10,560 Speaker 3: weeks missing. The government shutdown occurred, so we have all 25 00:01:10,600 --> 00:01:12,920 Speaker 3: this data that's not even reported, so there may have 26 00:01:12,959 --> 00:01:15,560 Speaker 3: been negative weeks in there that we don't even know 27 00:01:15,640 --> 00:01:17,640 Speaker 3: about that could have pulled that one hundred and nineteen 28 00:01:17,720 --> 00:01:21,840 Speaker 3: thousand down. So it's unreliable. Plus it's old, it's September, 29 00:01:22,360 --> 00:01:25,760 Speaker 3: the market has moved on, We've got other sources of information, 30 00:01:25,880 --> 00:01:28,800 Speaker 3: so the market really doesn't care about this. And because 31 00:01:28,800 --> 00:01:31,440 Speaker 3: of the government shutdown, what's interesting is we're not going 32 00:01:31,520 --> 00:01:34,200 Speaker 3: to have a report for the October data. There's not 33 00:01:34,280 --> 00:01:37,160 Speaker 3: even going to be another report until December on the 34 00:01:37,240 --> 00:01:40,560 Speaker 3: November data, and then that report will come out after 35 00:01:40,600 --> 00:01:43,880 Speaker 3: the FED meeting. So it's a very convoluted thing. But 36 00:01:44,280 --> 00:01:47,040 Speaker 3: even inside the report, there's some good news and there's 37 00:01:47,080 --> 00:01:50,720 Speaker 3: some bad news. Unreliable on both sides, but it's a 38 00:01:50,720 --> 00:01:53,360 Speaker 3: mixture of news in this report. So let's let's throw 39 00:01:53,360 --> 00:01:53,720 Speaker 3: it away. 40 00:01:54,160 --> 00:01:56,760 Speaker 2: Well, let's talk about at least what's in it. 41 00:01:57,120 --> 00:02:00,000 Speaker 1: One hundred nineteen thousand jobs added instead of the fifth 42 00:02:00,600 --> 00:02:04,040 Speaker 1: that was expected, unemployment rate ticks up to four point 43 00:02:04,160 --> 00:02:08,480 Speaker 1: four percent. You still toss both those numbers and say 44 00:02:08,720 --> 00:02:11,240 Speaker 1: there's a good, there's a bad. It's like af setting 45 00:02:11,280 --> 00:02:14,640 Speaker 1: finalties in the NFL. Just let's let's rehike the balls, 46 00:02:14,880 --> 00:02:15,720 Speaker 1: repeat second down. 47 00:02:16,200 --> 00:02:16,440 Speaker 2: Yeah. 48 00:02:16,480 --> 00:02:19,000 Speaker 3: I mean, that's exactly what the case is. Because while 49 00:02:19,000 --> 00:02:21,639 Speaker 3: the non farm payrolls are up, and the September hourly 50 00:02:21,680 --> 00:02:24,560 Speaker 3: wages are up year over year, and the revisions from 51 00:02:24,680 --> 00:02:27,919 Speaker 3: August were improving, and the participation rates up, so there's 52 00:02:27,919 --> 00:02:31,880 Speaker 3: all these good things, but then the September monthly wages 53 00:02:31,880 --> 00:02:36,160 Speaker 3: are down, the unemployment rate is up, the continuing jobless 54 00:02:36,160 --> 00:02:38,760 Speaker 3: claims are at the highest level since twenty twenty one. 55 00:02:39,280 --> 00:02:42,880 Speaker 3: So even even if we say, hey, it's reliable data, 56 00:02:43,320 --> 00:02:46,200 Speaker 3: it's it's it's a do over. It's a total draw 57 00:02:46,280 --> 00:02:49,400 Speaker 3: on the good and the bad. So but I gotta 58 00:02:49,440 --> 00:02:52,200 Speaker 3: tell you, Tony, I'm actually glad the government shut down 59 00:02:52,200 --> 00:02:56,360 Speaker 3: from the perspective of government reports because we focus you 60 00:02:56,440 --> 00:02:58,680 Speaker 3: and I even we're guilty of this. We focus so 61 00:02:58,840 --> 00:03:01,600 Speaker 3: much on the government day when we should be looking 62 00:03:01,600 --> 00:03:04,200 Speaker 3: at Wall Street and how our business is doing and 63 00:03:04,240 --> 00:03:06,520 Speaker 3: are they profitable and are they growing and are they 64 00:03:06,600 --> 00:03:09,799 Speaker 3: laying people off? That is much more important, and that's 65 00:03:09,800 --> 00:03:12,160 Speaker 3: where we should pay our attention rather than at every 66 00:03:12,200 --> 00:03:13,760 Speaker 3: government report that comes out, Well. 67 00:03:13,680 --> 00:03:14,720 Speaker 2: Then let us do that. 68 00:03:14,800 --> 00:03:17,520 Speaker 1: Talking to doctor Matt Will, economist at the University of 69 00:03:17,560 --> 00:03:23,320 Speaker 1: Indianapolis earlier this week, markets went down. I mean they 70 00:03:23,440 --> 00:03:26,560 Speaker 1: went down in this market considerably, if you will, not 71 00:03:27,240 --> 00:03:29,760 Speaker 1: multi thousand points, not oh my gosh, it's the end 72 00:03:29,760 --> 00:03:32,280 Speaker 1: of days. But they went down, and part of it 73 00:03:32,320 --> 00:03:35,280 Speaker 1: is because there was a real question of is this 74 00:03:35,320 --> 00:03:37,920 Speaker 1: AI bubble really a bubble? Are we all just buying 75 00:03:37,920 --> 00:03:40,320 Speaker 1: into a bunch of nonsense here. If it wasn't for 76 00:03:40,400 --> 00:03:42,800 Speaker 1: AI investing, there'd be no investing at all, as you've 77 00:03:42,840 --> 00:03:46,480 Speaker 1: discussed on this show many many times. Then in video 78 00:03:46,560 --> 00:03:49,120 Speaker 1: which makes the chips came out and said, you know 79 00:03:49,160 --> 00:03:51,880 Speaker 1: what we're doing. Fine, we're investing here, We're doing this. 80 00:03:52,080 --> 00:03:54,240 Speaker 1: Trust me, your money's in a good spot. And the 81 00:03:54,280 --> 00:03:59,360 Speaker 1: market has jumped back up. So did the market see 82 00:03:59,360 --> 00:04:02,000 Speaker 1: the jobs and say finally we have a job report, 83 00:04:02,240 --> 00:04:04,920 Speaker 1: or did the market see nvidians say finally we have 84 00:04:05,000 --> 00:04:07,560 Speaker 1: someone telling us it's all gonna be okay, stroking our 85 00:04:07,600 --> 00:04:09,920 Speaker 1: hair as we've had a night of heavy drinking, saying 86 00:04:09,960 --> 00:04:11,560 Speaker 1: don't worry, you'll feel better in the morning. 87 00:04:12,080 --> 00:04:14,840 Speaker 3: Well, okay, I'm not gonna you can stick with your analogy. 88 00:04:14,840 --> 00:04:18,159 Speaker 3: I'm not gonna say a pretty good one, but I'm 89 00:04:18,160 --> 00:04:22,560 Speaker 3: not gonna deny that. But it's back to what I said. 90 00:04:23,000 --> 00:04:26,719 Speaker 3: The market is looking to businesses now. Thank goodness, they're 91 00:04:26,760 --> 00:04:31,040 Speaker 3: doing that. And Nvidia said, look, people, everything is fine. 92 00:04:31,760 --> 00:04:36,360 Speaker 3: These AI profits are real. Walmart came out. Walmart even 93 00:04:36,360 --> 00:04:40,480 Speaker 3: said earnings solid. So we have solid earnings from one 94 00:04:40,480 --> 00:04:43,320 Speaker 3: of the biggest retailers in the world. We have solid 95 00:04:43,480 --> 00:04:46,840 Speaker 3: earnings reports from the biggest AI company in the world. 96 00:04:47,560 --> 00:04:50,680 Speaker 3: Everything is looking good. Well, okay, not everything's looking good. 97 00:04:51,279 --> 00:04:56,000 Speaker 3: Verizon laid off thirteen thousand people. So there's the AI rub, 98 00:04:56,480 --> 00:04:59,440 Speaker 3: the rub, especially in companies that are heavily can use 99 00:04:59,520 --> 00:05:03,240 Speaker 3: technology like Verizon can use technology. Then we're going to 100 00:05:03,279 --> 00:05:06,680 Speaker 3: see those layoffs continue, which we saw in this corrupted 101 00:05:06,839 --> 00:05:07,920 Speaker 3: unemployment report. 102 00:05:08,160 --> 00:05:10,480 Speaker 1: And this is not the only layoffs we've seen, right, 103 00:05:10,520 --> 00:05:13,400 Speaker 1: the layoffs from ups, the layoffs from Amazon, and they've 104 00:05:13,440 --> 00:05:17,000 Speaker 1: been more on a corporate side. Talking to doctor Matt Will, 105 00:05:17,040 --> 00:05:20,880 Speaker 1: economist at the University of Indianapolis, this is gonna be 106 00:05:21,040 --> 00:05:23,440 Speaker 1: I mean, we can play this politically for a moment, sir, 107 00:05:23,560 --> 00:05:25,120 Speaker 1: this is going to be Oh my gosh, look at 108 00:05:25,160 --> 00:05:25,880 Speaker 1: Trump's economy. 109 00:05:25,880 --> 00:05:27,960 Speaker 2: Look how charabud is. Look at all the jobs that 110 00:05:27,960 --> 00:05:29,360 Speaker 2: are being laid off. 111 00:05:29,800 --> 00:05:33,599 Speaker 4: This is exactly what one would expect, if they're rational 112 00:05:34,120 --> 00:05:39,440 Speaker 4: from the multi trillion dollar investment that has gone into AI, 113 00:05:39,680 --> 00:05:42,719 Speaker 4: that people are going to now utilize these tools as 114 00:05:42,720 --> 00:05:45,040 Speaker 4: a way of seeing if they can replace workforce. 115 00:05:45,120 --> 00:05:48,640 Speaker 1: There's really this huge experiment going on right now in 116 00:05:48,680 --> 00:05:51,360 Speaker 1: the American economy. I don't think it's going to pay 117 00:05:51,360 --> 00:05:54,560 Speaker 1: off the way others do, but that is what we're seeing. 118 00:05:54,920 --> 00:05:57,279 Speaker 1: The layoffs are not a result of the Trump economy 119 00:05:57,320 --> 00:05:59,360 Speaker 1: as they are of the Trump investment. 120 00:05:59,400 --> 00:06:04,160 Speaker 2: True or false, I don't know. 121 00:06:04,120 --> 00:06:06,760 Speaker 3: The answer to that question, but I'm gonna take exception 122 00:06:06,920 --> 00:06:10,280 Speaker 3: with what you said. This great experiment. This isn't an experiment, Tony. 123 00:06:10,320 --> 00:06:13,440 Speaker 3: We've done it before. We did it when we replaced 124 00:06:13,440 --> 00:06:16,200 Speaker 3: the horse and buggy with the car. We did it 125 00:06:16,200 --> 00:06:19,960 Speaker 3: when we replaced the typewriter with the computer. This is 126 00:06:20,000 --> 00:06:23,200 Speaker 3: not an experiment. This is transitional unemployment. And you and 127 00:06:23,240 --> 00:06:24,599 Speaker 3: I you know we're gonna have to have a fight 128 00:06:24,640 --> 00:06:26,919 Speaker 3: on this one because I think AI is legit. I 129 00:06:26,960 --> 00:06:29,120 Speaker 3: think it's here to stay, and it's going to produce 130 00:06:29,160 --> 00:06:31,599 Speaker 3: all the great things, but it does cause what we 131 00:06:31,680 --> 00:06:35,359 Speaker 3: call transitional unemployment. There is going to be a moment 132 00:06:35,520 --> 00:06:38,039 Speaker 3: when the people taking care of the horses, shoes, and 133 00:06:38,120 --> 00:06:40,960 Speaker 3: the buggies are out of jobs until we build up 134 00:06:41,120 --> 00:06:44,320 Speaker 3: that other industry, which was cars. This is the same thing. 135 00:06:44,800 --> 00:06:46,440 Speaker 3: I can really sincerely believe that. 136 00:06:46,600 --> 00:06:49,040 Speaker 1: So let's first say that we agree on that basic point. 137 00:06:49,040 --> 00:06:51,120 Speaker 1: That's not actually a moment of disagreement, calling you a 138 00:06:51,120 --> 00:06:52,440 Speaker 1: transitional what do you call it? 139 00:06:52,480 --> 00:06:53,480 Speaker 2: Transitional employment? 140 00:06:53,760 --> 00:06:55,280 Speaker 3: Yes, transitional unemployments? 141 00:06:55,480 --> 00:06:56,839 Speaker 2: Is that actually? Is that a term? Is that a 142 00:06:56,920 --> 00:06:58,640 Speaker 2: term of arts for economists? Yep? 143 00:06:59,279 --> 00:07:01,320 Speaker 1: So I agree with you there, and I think that 144 00:07:01,400 --> 00:07:03,840 Speaker 1: people are politically going to say, look what Trump's done 145 00:07:03,880 --> 00:07:06,200 Speaker 1: to the economy, look at all these jobs, and not 146 00:07:06,200 --> 00:07:08,600 Speaker 1: notice that a lot of this has to do with 147 00:07:08,640 --> 00:07:11,520 Speaker 1: the investment in AI, and then it's it's it's utilization. 148 00:07:12,000 --> 00:07:14,880 Speaker 1: What I'm saying is is that absolutely it's an experiment 149 00:07:14,920 --> 00:07:17,160 Speaker 1: to find out whether or not AI can actually replace 150 00:07:17,240 --> 00:07:19,280 Speaker 1: these jobs, or whether or not people are going to 151 00:07:19,320 --> 00:07:22,560 Speaker 1: realize we need some of them back. There's also the 152 00:07:22,760 --> 00:07:25,800 Speaker 1: greater conversation of how much bloat did we have as 153 00:07:25,840 --> 00:07:29,280 Speaker 1: a company with all of these corporate folk or all 154 00:07:29,360 --> 00:07:31,320 Speaker 1: these other folk companies do this. 155 00:07:31,760 --> 00:07:35,480 Speaker 2: They take a look, they reorg they they engage some shedding, 156 00:07:35,800 --> 00:07:36,320 Speaker 2: et cetera. 157 00:07:36,760 --> 00:07:40,200 Speaker 1: But as we take a look at the Trump economy overall, 158 00:07:40,640 --> 00:07:43,920 Speaker 1: you heard President Trump with the Crown Prince of Saudi Arabia, 159 00:07:43,960 --> 00:07:47,000 Speaker 1: Mohammed Ben Solomon, saying that the a billion dollars worth 160 00:07:47,040 --> 00:07:50,400 Speaker 1: of investment. You saw Trump at the US Saudi Investment 161 00:07:50,520 --> 00:07:53,720 Speaker 1: Forum cheering this on, and the trillions that have come 162 00:07:53,760 --> 00:07:56,240 Speaker 1: into the US economy. I've made the argument that he 163 00:07:56,320 --> 00:07:58,360 Speaker 1: needs to turn that into a conversation about how it 164 00:07:58,440 --> 00:08:00,880 Speaker 1: helps people in the Midwest in order to get them 165 00:08:00,880 --> 00:08:04,160 Speaker 1: to understand how this big investment actually helps people when 166 00:08:04,200 --> 00:08:08,960 Speaker 1: they're seeing job losses, Verizon ups, Amazon, etc. 167 00:08:10,040 --> 00:08:14,800 Speaker 2: So, as you see the investments happening, the investment going. 168 00:08:14,600 --> 00:08:17,800 Speaker 1: On, and you see still higher costs and groceries and 169 00:08:17,840 --> 00:08:20,600 Speaker 1: other things in a bunch of places, is the Trump 170 00:08:20,720 --> 00:08:22,360 Speaker 1: economy working in your view? 171 00:08:23,040 --> 00:08:26,360 Speaker 3: Well, those are two different things. First of all, I've 172 00:08:26,400 --> 00:08:30,200 Speaker 3: seen the investments announced, but I haven't seen the investments 173 00:08:30,200 --> 00:08:32,560 Speaker 3: in the ground. I haven't seen the shovels in the ground. 174 00:08:32,920 --> 00:08:35,120 Speaker 3: And Trump is very good at talking, and I think 175 00:08:35,160 --> 00:08:37,760 Speaker 3: he's announced a lot of investments in a trillion dollars 176 00:08:37,880 --> 00:08:40,240 Speaker 3: is of course a big deal, but I haven't seen 177 00:08:40,280 --> 00:08:43,560 Speaker 3: it physically occur yet, and I think he needs to 178 00:08:43,559 --> 00:08:46,400 Speaker 3: get somebody in his administration to roll up their sleeves 179 00:08:46,720 --> 00:08:49,120 Speaker 3: and get the shovels in the ground. So that's the 180 00:08:49,120 --> 00:08:51,679 Speaker 3: first part. And so I think he's doing a good 181 00:08:51,760 --> 00:08:54,920 Speaker 3: job if he can deliver on the promises. And the 182 00:08:54,960 --> 00:08:58,160 Speaker 3: promises are legit, but have they actually resulted in jobs. 183 00:08:58,360 --> 00:09:00,600 Speaker 3: As far as the inflation goes, I think that there's 184 00:09:00,600 --> 00:09:03,120 Speaker 3: still a big problem, and that is the inflation is 185 00:09:03,160 --> 00:09:06,400 Speaker 3: caused by government spending, and the government spending is still happening. 186 00:09:06,400 --> 00:09:10,000 Speaker 3: The Republicans are spending, just not quite as exuberantly as 187 00:09:10,040 --> 00:09:12,679 Speaker 3: the Democrats, and so the inflation is not going away. 188 00:09:13,120 --> 00:09:15,360 Speaker 3: But one of the ways he can address it is 189 00:09:15,400 --> 00:09:18,800 Speaker 3: by economic growth. And he's hurting himself. I'm gonna say 190 00:09:18,840 --> 00:09:21,560 Speaker 3: it again with the tariffs. If it weren't for the tariffs, 191 00:09:21,600 --> 00:09:23,920 Speaker 3: he could grow himself out of this inflation. He's his 192 00:09:23,920 --> 00:09:25,400 Speaker 3: own worst enemy. 193 00:09:25,760 --> 00:09:31,120 Speaker 1: Talking to doctor Matt Will economists at the University of Indianapolis, Yes, 194 00:09:31,520 --> 00:09:36,200 Speaker 1: you actually have to see the dollars flow in. 195 00:09:36,720 --> 00:09:37,800 Speaker 2: That has to happen. 196 00:09:38,200 --> 00:09:38,600 Speaker 4: You have. 197 00:09:38,800 --> 00:09:41,400 Speaker 2: However, the administration starting to. 198 00:09:42,200 --> 00:09:48,800 Speaker 1: In my view, finally talk about how listen, we know 199 00:09:49,080 --> 00:09:51,760 Speaker 1: that things aren't happening right away, but they will and 200 00:09:51,840 --> 00:09:54,200 Speaker 1: here's what we're setting up for the future, which I 201 00:09:54,200 --> 00:09:57,520 Speaker 1: think is a smart way to be talking about this 202 00:09:57,640 --> 00:10:02,839 Speaker 1: and something that should have happened months ago. In my view, 203 00:10:04,720 --> 00:10:10,560 Speaker 1: does the promise of the investment move Wall Street? Or 204 00:10:10,720 --> 00:10:16,200 Speaker 1: will we see real excitement, real changes when the dollars 205 00:10:16,360 --> 00:10:18,960 Speaker 1: actually mean shovels in the ground. 206 00:10:19,360 --> 00:10:22,760 Speaker 3: It's like the boy that cries wolf. Wall Street sees 207 00:10:22,800 --> 00:10:26,360 Speaker 3: the announcements, they're happy, they react positively, but guess what 208 00:10:26,400 --> 00:10:30,640 Speaker 3: they keep seeing announcements. They don't see shovels yet. And 209 00:10:30,679 --> 00:10:33,280 Speaker 3: I think that's what Wall Street is now skeptical. They 210 00:10:33,320 --> 00:10:36,040 Speaker 3: now see this administration as crying wolf because they keep 211 00:10:36,040 --> 00:10:39,360 Speaker 3: announcing big numbers, and they're bigger and bigger at trillion dollars, 212 00:10:39,520 --> 00:10:41,760 Speaker 3: but they don't see the shovels in the ground. I 213 00:10:41,800 --> 00:10:43,640 Speaker 3: think we got to go back to the Ronald Reagan 214 00:10:43,679 --> 00:10:46,720 Speaker 3: playbook of the eighties. Ronald Reagan did not go around 215 00:10:46,800 --> 00:10:48,959 Speaker 3: bragging about how great the economy was when he took 216 00:10:48,960 --> 00:10:51,600 Speaker 3: it over from Jimmy Carter. He just rolled up his sleeves, 217 00:10:51,880 --> 00:10:54,160 Speaker 3: did the things. We paid the price, you know, with 218 00:10:54,280 --> 00:10:57,360 Speaker 3: higher interest rates to kill inflation, and then when the 219 00:10:57,480 --> 00:11:00,800 Speaker 3: elections came around, he swept through him again because he 220 00:11:00,920 --> 00:11:03,839 Speaker 3: had evidence. I think Trump needs to focus less on 221 00:11:03,880 --> 00:11:06,040 Speaker 3: the pr and I know this is where you know, 222 00:11:06,120 --> 00:11:07,880 Speaker 3: I hear you saying that he's got a message better. 223 00:11:08,440 --> 00:11:10,480 Speaker 3: I think he needs results better. I always like to 224 00:11:10,520 --> 00:11:12,120 Speaker 3: have this saying that I can't hear what you're saying 225 00:11:12,160 --> 00:11:13,520 Speaker 3: because your actions are so loud. 226 00:11:13,679 --> 00:11:14,440 Speaker 2: Oh don't go now. 227 00:11:14,520 --> 00:11:17,280 Speaker 1: Let's not disagree with each other here on a point 228 00:11:17,280 --> 00:11:19,200 Speaker 1: that is very very well made by you talking to 229 00:11:19,240 --> 00:11:23,559 Speaker 1: doctor Matt Will, economist at the University of Indianapolis. Results matter. 230 00:11:23,640 --> 00:11:27,600 Speaker 1: Results are the only things that matter. For sure, I 231 00:11:27,640 --> 00:11:31,320 Speaker 1: wholeheartedly agree. But while you're waiting for the results, you 232 00:11:31,320 --> 00:11:32,960 Speaker 1: got to explain what it is that you're doing and 233 00:11:33,000 --> 00:11:35,520 Speaker 1: why it is that matters, and all these conversations of 234 00:11:35,760 --> 00:11:38,439 Speaker 1: huge investments. Here's how it's going to affect you in 235 00:11:38,440 --> 00:11:40,200 Speaker 1: the Midwest, in the South, you can't worry about the 236 00:11:40,200 --> 00:11:43,000 Speaker 1: coastal people on that subject at all, though you can 237 00:11:43,080 --> 00:11:44,240 Speaker 1: also talk to them. 238 00:11:44,679 --> 00:11:46,920 Speaker 2: We're also hearing that because. 239 00:11:46,559 --> 00:11:48,600 Speaker 1: Of you know, as we started with the jobs numbers 240 00:11:48,600 --> 00:11:51,960 Speaker 1: one hundred nineteen thousand jobs in September that coming out 241 00:11:52,000 --> 00:11:55,000 Speaker 1: today unemployment to four point four percent. That maybe the 242 00:11:55,080 --> 00:11:58,679 Speaker 1: FED doesn't feel as great about lowering interest rates as 243 00:11:58,720 --> 00:12:01,120 Speaker 1: they have, promising a full point cut over this year, 244 00:12:01,520 --> 00:12:04,400 Speaker 1: and maybe the leap things where they are. 245 00:12:05,280 --> 00:12:07,600 Speaker 2: I don't believe inflation is down enough to cut rates. 246 00:12:07,600 --> 00:12:09,959 Speaker 2: I don't think inflation has been tamed. That I have 247 00:12:10,000 --> 00:12:13,439 Speaker 2: stayed with that now for well years now. I'm now 248 00:12:13,559 --> 00:12:17,120 Speaker 2: years on that subject. Doctor. Well, where are you you 249 00:12:17,160 --> 00:12:18,320 Speaker 2: think the FED should cut? 250 00:12:18,440 --> 00:12:21,720 Speaker 1: Or maybe better said, do you think the Fed will cut? 251 00:12:21,800 --> 00:12:23,800 Speaker 3: Well? First of all, will they cut? I think not. 252 00:12:24,360 --> 00:12:27,199 Speaker 3: I don't think there's strong enough evidence in their formula 253 00:12:27,280 --> 00:12:29,320 Speaker 3: to cut the rates. But I go back to what 254 00:12:29,360 --> 00:12:33,319 Speaker 3: I've said before. You know, Kevin Walsh, I agree with him. 255 00:12:33,320 --> 00:12:35,280 Speaker 3: I think that the whole solution here is to cut 256 00:12:35,360 --> 00:12:37,960 Speaker 3: rates and shed the balance sheet, and the FED is 257 00:12:37,960 --> 00:12:41,800 Speaker 3: doing the opposite. They've frozen their balance sheet. They're not 258 00:12:41,840 --> 00:12:45,840 Speaker 3: getting rid of the assets they know, so they're causing inflation. 259 00:12:46,320 --> 00:12:48,720 Speaker 3: Whether they cut rates or not is more a signal. 260 00:12:49,480 --> 00:12:51,800 Speaker 3: The most important thing is their open market operations, and 261 00:12:51,840 --> 00:12:54,200 Speaker 3: they have frozen those. So I think what the FED 262 00:12:54,320 --> 00:12:56,640 Speaker 3: is doing is wrong. Whether they cut rates or not 263 00:12:56,760 --> 00:13:00,200 Speaker 3: is meaningless. They are causing inflation. Inflation is here and 264 00:13:00,280 --> 00:13:03,000 Speaker 3: Trump needs to grow the economy to fight Jerome Pal's 265 00:13:03,040 --> 00:13:03,760 Speaker 3: bad decisions. 266 00:13:04,880 --> 00:13:09,080 Speaker 1: Doctor Mattwell, economist at the University of Indianapolis, I appreciate 267 00:13:09,080 --> 00:13:11,240 Speaker 1: you taking the time to be with us, more to 268 00:13:11,240 --> 00:13:12,400 Speaker 1: get to I'm Tony Katz. 269 00:13:12,440 --> 00:13:14,040 Speaker 2: This is Tony Katz today.