1 00:00:00,120 --> 00:00:02,240 Speaker 1: Now Lord only knows where the markets are going to end, 2 00:00:02,279 --> 00:00:05,800 Speaker 1: and who knows. You know, people listen to this show 3 00:00:05,840 --> 00:00:08,119 Speaker 1: at all different times. Some people are with us live, 4 00:00:08,160 --> 00:00:11,680 Speaker 1: and some people are with us on podcasts, and some 5 00:00:11,760 --> 00:00:15,040 Speaker 1: people all sorts of hearing it in the evening. Show 6 00:00:15,080 --> 00:00:17,320 Speaker 1: plays everywhere all the time. I'm Tony Kats. The show 7 00:00:17,360 --> 00:00:18,360 Speaker 1: is Tony Kats Today. 8 00:00:18,760 --> 00:00:21,840 Speaker 2: Good to be with you. Find everything at tonycats dot com. 9 00:00:22,600 --> 00:00:28,440 Speaker 1: But midday on Friday, right end of the week, a 10 00:00:28,480 --> 00:00:33,800 Speaker 1: week before Halloween, the Dow was up over five hundred points. 11 00:00:35,120 --> 00:00:37,160 Speaker 2: And it's up over five hundred. 12 00:00:36,880 --> 00:00:41,760 Speaker 1: Points because inflation's at three percent and the market believes 13 00:00:41,760 --> 00:00:43,519 Speaker 1: that ray cuts are going to come. I'm gonna save 14 00:00:43,560 --> 00:00:45,640 Speaker 1: this again for the people in the cheap seats because 15 00:00:45,680 --> 00:00:50,800 Speaker 1: it makes no damn sense. Inflation is at three percent, 16 00:00:51,440 --> 00:00:53,560 Speaker 1: by the way, I think it's three point six percent. 17 00:00:55,080 --> 00:00:58,720 Speaker 1: The market is cheering the three percent I say three 18 00:00:58,720 --> 00:01:02,240 Speaker 1: point six percent inflation, and they think a rate cut 19 00:01:02,480 --> 00:01:07,400 Speaker 1: is going to come. I can make no sense of 20 00:01:07,480 --> 00:01:11,200 Speaker 1: this economy. Doctor Matt will joins us economist at the 21 00:01:11,319 --> 00:01:13,760 Speaker 1: University of Indianapolis. 22 00:01:14,120 --> 00:01:16,800 Speaker 2: Let me try and understand. 23 00:01:16,280 --> 00:01:21,280 Speaker 1: Sir, at least set a baseline for the conversation. The 24 00:01:21,360 --> 00:01:25,160 Speaker 1: consumer price index showed a point three percent increase on 25 00:01:25,240 --> 00:01:29,280 Speaker 1: the month. They say over at CNBC, that creates in 26 00:01:29,319 --> 00:01:32,959 Speaker 1: an annual inflation rate of three percent. I say, that creates, 27 00:01:33,040 --> 00:01:35,920 Speaker 1: based on your math, three point six percent. But they 28 00:01:35,959 --> 00:01:38,280 Speaker 1: also go on to say that because that is lower 29 00:01:38,319 --> 00:01:42,800 Speaker 1: than the expectation of point four percent, everybody should be cheering, 30 00:01:43,000 --> 00:01:48,520 Speaker 1: popping champagne, chugging bourbon, doing lines off of whoever they 31 00:01:48,560 --> 00:01:51,680 Speaker 1: could hire to do lines off of, and be super excited. 32 00:01:52,320 --> 00:01:54,920 Speaker 1: I'm sorry, by the way, don't do lines. I'm sorry. 33 00:01:54,960 --> 00:02:00,280 Speaker 1: This makes no This makes no sense that we're all 34 00:02:00,320 --> 00:02:04,000 Speaker 1: sort of excited on three percent inflation, which I say 35 00:02:04,080 --> 00:02:05,040 Speaker 1: is three point six. 36 00:02:05,760 --> 00:02:07,280 Speaker 2: So walk me down the road. 37 00:02:07,600 --> 00:02:09,880 Speaker 1: What is the consumer price index and what did it 38 00:02:09,960 --> 00:02:10,840 Speaker 1: tell us this month? 39 00:02:12,000 --> 00:02:14,679 Speaker 3: Well, it's three point six because it's point three, and 40 00:02:14,720 --> 00:02:16,440 Speaker 3: the course you and I know how to do maths, 41 00:02:16,480 --> 00:02:18,600 Speaker 3: so we multiply it by twelve and we get three 42 00:02:18,639 --> 00:02:22,480 Speaker 3: point six. Where the government, which is politically motivated, kind 43 00:02:22,480 --> 00:02:25,280 Speaker 3: of tries to report it differently. But that's beside the point. 44 00:02:25,480 --> 00:02:28,000 Speaker 3: The reason the market reacted so much to this is 45 00:02:28,040 --> 00:02:31,400 Speaker 3: because the market is starved for data. We haven't got 46 00:02:31,440 --> 00:02:34,320 Speaker 3: any data there hasn't been any data released. This report 47 00:02:34,360 --> 00:02:37,079 Speaker 3: is two weeks old. This is supposed to come out 48 00:02:37,080 --> 00:02:39,280 Speaker 3: two weeks ago. In fact, the only reason we got 49 00:02:39,280 --> 00:02:42,080 Speaker 3: it is because they needed it to calculate the COLA, 50 00:02:42,400 --> 00:02:45,480 Speaker 3: the cost of living adjustment for Social Security. If it 51 00:02:45,520 --> 00:02:48,040 Speaker 3: weren't for that, we wouldn't have got this data today. 52 00:02:48,480 --> 00:02:51,760 Speaker 3: So the market is so desperate for data. When it 53 00:02:51,800 --> 00:02:54,720 Speaker 3: got the data, it reacted, and you know what, it 54 00:02:54,800 --> 00:02:57,320 Speaker 3: was better than expected. It was supposed to be point four. 55 00:02:57,360 --> 00:03:00,680 Speaker 3: It was point three. So the market over reacted because 56 00:03:00,680 --> 00:03:04,120 Speaker 3: it's the only data it's had. It's looking, it's desperate, 57 00:03:04,320 --> 00:03:06,800 Speaker 3: and it finally got some information, so it reacted. But 58 00:03:07,280 --> 00:03:10,200 Speaker 3: let me add it also reacted because of some other 59 00:03:10,280 --> 00:03:14,600 Speaker 3: good news. The S and P does a flash PMI report. 60 00:03:14,680 --> 00:03:16,560 Speaker 3: It's not the best one. The one that comes out 61 00:03:16,639 --> 00:03:19,280 Speaker 3: next week is the best one from ISM. It's a 62 00:03:19,360 --> 00:03:23,920 Speaker 3: manufacturing report. That manufacturing report that came out today actually 63 00:03:23,960 --> 00:03:26,480 Speaker 3: said good news. It said that it looks like we're 64 00:03:26,520 --> 00:03:29,880 Speaker 3: going to have an expansion of manufacturing. We'll see next week. 65 00:03:30,280 --> 00:03:34,040 Speaker 3: But the flash report indicates a probable growth, and we've 66 00:03:34,040 --> 00:03:39,080 Speaker 3: had seven months of shrinking, declining manufacturing, so we have 67 00:03:39,120 --> 00:03:41,120 Speaker 3: to wait to next week. But those two things, Tony, 68 00:03:41,240 --> 00:03:42,640 Speaker 3: that's what caused the market bumper. 69 00:03:43,920 --> 00:03:48,839 Speaker 1: So any data or any port in a storm, any 70 00:03:48,920 --> 00:03:52,400 Speaker 1: data you're saying they saw as something they could utilize. 71 00:03:52,400 --> 00:03:55,480 Speaker 1: And because there was a little bit of twisting to 72 00:03:55,520 --> 00:03:58,080 Speaker 1: get to the good good news, it's like saying that, hey, 73 00:03:58,120 --> 00:03:58,680 Speaker 1: I got. 74 00:03:58,480 --> 00:04:00,560 Speaker 2: A place in Manhattan with a view. 75 00:04:00,640 --> 00:04:03,320 Speaker 1: If I'm standing in the bathroom on the toilet and 76 00:04:03,360 --> 00:04:06,840 Speaker 1: looking out between seven and seven fifteen am, I have 77 00:04:06,880 --> 00:04:08,960 Speaker 1: a great view of the Hudson River. 78 00:04:10,400 --> 00:04:13,040 Speaker 2: So they're looking for anything they can gom onto. 79 00:04:13,880 --> 00:04:17,400 Speaker 1: But the bigger story here is that we might see 80 00:04:17,400 --> 00:04:18,920 Speaker 1: an increase in manufacturing. 81 00:04:18,960 --> 00:04:20,080 Speaker 2: Where does that come from? 82 00:04:21,320 --> 00:04:24,320 Speaker 3: That's from S and P. Their flash report says this 83 00:04:24,440 --> 00:04:28,120 Speaker 3: might happen. Now, I'm not holding any my breath on 84 00:04:28,160 --> 00:04:31,240 Speaker 3: this one. And the reason is, even if we do 85 00:04:31,279 --> 00:04:33,960 Speaker 3: see a growth, I think it's going to be AI driven. 86 00:04:34,960 --> 00:04:36,360 Speaker 3: You know, I want to say this. I think there's 87 00:04:36,400 --> 00:04:39,279 Speaker 3: the tale of two economies we're dealing with. There's AI 88 00:04:39,440 --> 00:04:43,440 Speaker 3: and there's everybody else. Today IBM announced that they're taking 89 00:04:43,440 --> 00:04:47,320 Speaker 3: their business away from Intel, shoving it over to AMD. 90 00:04:47,640 --> 00:04:50,360 Speaker 3: AMD has this huge contract, They've got a huge bump 91 00:04:50,760 --> 00:04:54,520 Speaker 3: their AI AI up. AI is up across the board. 92 00:04:54,839 --> 00:04:59,039 Speaker 3: But General Motors just announced two hundred layoffs. Target just 93 00:04:59,040 --> 00:05:02,640 Speaker 3: announced eighteen hundre job cuts. Procter and Gamble just announced 94 00:05:02,640 --> 00:05:06,479 Speaker 3: a decrease of demand the non AI industry. By the way, 95 00:05:06,720 --> 00:05:11,240 Speaker 3: that's just today. The non AI industries still look bad. 96 00:05:11,560 --> 00:05:14,680 Speaker 3: So I think, what's what's highlighting the S and P 97 00:05:15,400 --> 00:05:19,680 Speaker 3: slash report? Is Ai AI is driving this economy? 98 00:05:19,720 --> 00:05:22,840 Speaker 2: Still its AI driving manufacturing? 99 00:05:24,200 --> 00:05:27,760 Speaker 3: Yeah? Well yeah, because AI makes chips, AI makes chips, 100 00:05:27,839 --> 00:05:30,360 Speaker 3: AI builds data centers. I mean, yeah, there's a lot 101 00:05:30,360 --> 00:05:32,200 Speaker 3: of stuff. Not how amon you think AI. 102 00:05:32,360 --> 00:05:34,520 Speaker 1: I'm just saying it's not how we normally think of manufacturing. 103 00:05:34,520 --> 00:05:37,560 Speaker 1: But that's a that's a great point. Now it becomes 104 00:05:37,600 --> 00:05:40,039 Speaker 1: a lot easier to understand talking to doctor Matt Will 105 00:05:40,480 --> 00:05:43,080 Speaker 1: economists at the University of Indianapolis. By the way, I 106 00:05:43,120 --> 00:05:45,560 Speaker 1: read that story about Targets in the Wall Street Journal 107 00:05:45,760 --> 00:05:49,840 Speaker 1: eighteen hundred jobs. But these are corporate jobs, are they 108 00:05:49,920 --> 00:05:52,160 Speaker 1: and there are two hundred open roles that they. 109 00:05:52,040 --> 00:05:52,960 Speaker 2: Are now getting rid of. 110 00:05:53,320 --> 00:05:55,320 Speaker 1: Did they realize they could do more with less? Because 111 00:05:55,360 --> 00:05:58,000 Speaker 1: I would consider that a positive thing for a company. 112 00:05:58,600 --> 00:06:01,040 Speaker 3: And it is. Let's go back to why the market's up. 113 00:06:01,200 --> 00:06:03,520 Speaker 3: You know you are hitting on this thing. You said 114 00:06:03,560 --> 00:06:06,000 Speaker 3: it doesn't make any sense. You are pointing out where 115 00:06:06,000 --> 00:06:08,479 Speaker 3: it does make sense. If I'm a company and I 116 00:06:08,480 --> 00:06:11,320 Speaker 3: can be more efficient because of AI, it does my 117 00:06:11,560 --> 00:06:14,640 Speaker 3: ordering for me, It does my distribution. It allocates my 118 00:06:14,800 --> 00:06:18,279 Speaker 3: materials and my goods to the proper store. I need 119 00:06:18,400 --> 00:06:22,720 Speaker 3: less labor. So yes, AI is driving all the gain 120 00:06:22,760 --> 00:06:26,720 Speaker 3: in the economy. I can't emphasize this enough, but if 121 00:06:26,760 --> 00:06:30,880 Speaker 3: you're not AI, you're in trouble. Thirty nine percent of 122 00:06:30,880 --> 00:06:33,280 Speaker 3: the S and P five hundred has lost money this year. 123 00:06:33,839 --> 00:06:37,039 Speaker 3: Let me say that clearly again. Thirty nine percent of 124 00:06:37,080 --> 00:06:39,640 Speaker 3: the S and P five hundred companies have lost money 125 00:06:39,680 --> 00:06:42,440 Speaker 3: this year. Foreign That is not a broad based recovery. 126 00:06:43,200 --> 00:06:45,680 Speaker 2: Four and ten have lost money. 127 00:06:45,720 --> 00:06:49,320 Speaker 1: Talking to doctor Matt Well, economists at the University of Indianapolis. 128 00:06:50,080 --> 00:06:55,599 Speaker 1: So it's not that the AI itself works as advertised. 129 00:06:56,000 --> 00:06:58,679 Speaker 1: It's that the money is pouring in and is seen 130 00:06:58,839 --> 00:07:03,160 Speaker 1: now in a lets a building of AI infrastructure, and 131 00:07:03,200 --> 00:07:07,280 Speaker 1: that's manufacturing, and that is driving the entirety of our 132 00:07:07,320 --> 00:07:08,200 Speaker 1: economy right now. 133 00:07:10,120 --> 00:07:13,920 Speaker 3: I would say mostly forty four percent of the gain 134 00:07:14,000 --> 00:07:16,000 Speaker 3: of this year's S and P five hundred and the 135 00:07:16,080 --> 00:07:19,000 Speaker 3: S and p's up. It's up fifteen percent year to date. 136 00:07:19,520 --> 00:07:21,960 Speaker 3: Forty four percent of it has come from the mag seven, 137 00:07:22,240 --> 00:07:24,720 Speaker 3: which is almost all AI. Let me look at Procter 138 00:07:24,800 --> 00:07:30,200 Speaker 3: and Gamble. Procter and Gamble announced record profits and then 139 00:07:30,320 --> 00:07:33,040 Speaker 3: decreasing demand for their product. What does that tell you. 140 00:07:33,120 --> 00:07:36,440 Speaker 3: They're using AI as well. They're doing distribution, they're doing 141 00:07:36,440 --> 00:07:40,960 Speaker 3: allocation of resources, they're purchasing patterns, they're manufacturing. It's all 142 00:07:41,080 --> 00:07:44,080 Speaker 3: using AI. But AI is driving things. 143 00:07:44,160 --> 00:07:49,160 Speaker 1: I'm not saying no, I think that your point is taken. 144 00:07:49,720 --> 00:07:51,880 Speaker 1: Let me give you something else that took place in 145 00:07:52,000 --> 00:07:54,440 Speaker 1: terms of earnings and beating expectations. 146 00:07:54,760 --> 00:07:55,880 Speaker 2: Airline stocks. 147 00:07:56,120 --> 00:07:59,520 Speaker 1: There's a couple of airline stocks that have beaten expectations. 148 00:07:59,680 --> 00:08:02,920 Speaker 1: I don't even know how that's possible. More people are flying, 149 00:08:03,040 --> 00:08:05,800 Speaker 1: or they're charging more to fly, and the same amount 150 00:08:05,840 --> 00:08:08,000 Speaker 1: of people are flying because they have to and that's 151 00:08:08,040 --> 00:08:10,760 Speaker 1: turned out to be a more profitable response. 152 00:08:10,880 --> 00:08:13,120 Speaker 2: Or is AI now dealing with my flights? 153 00:08:13,360 --> 00:08:16,760 Speaker 1: Which is just the scariest proposition in the world. 154 00:08:17,400 --> 00:08:20,560 Speaker 3: All of the above, the truth is that airline prices 155 00:08:20,600 --> 00:08:23,120 Speaker 3: have gone up substantially. I believe it's about between ten 156 00:08:23,160 --> 00:08:27,400 Speaker 3: and fifteen percent. And we've seen record flying even during 157 00:08:27,880 --> 00:08:31,720 Speaker 3: the shutdown of the government. The fall break travel set 158 00:08:31,760 --> 00:08:35,120 Speaker 3: records this year, so we've seen record travel, increase in 159 00:08:35,200 --> 00:08:38,880 Speaker 3: prices and AI is not flying. You're playing Tony, but 160 00:08:39,000 --> 00:08:43,199 Speaker 3: AI is determining the prices. They're able to maximize their 161 00:08:43,240 --> 00:08:46,800 Speaker 3: price by figuring out how you're searching. I recommend that 162 00:08:46,880 --> 00:08:50,000 Speaker 3: you not go to the website for your prices. You 163 00:08:50,040 --> 00:08:52,120 Speaker 3: go to a non a third party to find the 164 00:08:52,160 --> 00:08:53,920 Speaker 3: price and then go to the airline and buy it. 165 00:08:54,800 --> 00:08:58,800 Speaker 1: You're talking about dynamic pricing things, Yes, things like that 166 00:08:58,800 --> 00:09:01,920 Speaker 1: that are used in concert and in other ways. When 167 00:09:02,040 --> 00:09:06,200 Speaker 1: is the most opportunity time when most people buying what 168 00:09:06,360 --> 00:09:09,720 Speaker 1: is they're determining where the pressure moments are and then 169 00:09:09,920 --> 00:09:14,680 Speaker 1: supply and demands being very very real things. One of 170 00:09:14,720 --> 00:09:19,559 Speaker 1: the other things that you discussed, you know four percent 171 00:09:20,400 --> 00:09:24,920 Speaker 1: of the game is from AI. It used to be 172 00:09:25,080 --> 00:09:29,520 Speaker 1: it was the fang stocks, right, it was Facebook, Apple, Amazon, 173 00:09:30,000 --> 00:09:30,800 Speaker 1: I forget. 174 00:09:30,480 --> 00:09:34,240 Speaker 2: What the n was gus Google and is not interview? 175 00:09:34,559 --> 00:09:36,160 Speaker 2: Was it Nvidia? No? 176 00:09:36,600 --> 00:09:37,080 Speaker 3: Netflix? 177 00:09:37,080 --> 00:09:37,440 Speaker 2: Netflix? 178 00:09:37,440 --> 00:09:37,720 Speaker 3: Clucks? 179 00:09:39,120 --> 00:09:41,559 Speaker 1: Are you telling me that those things aren't the drivers 180 00:09:41,760 --> 00:09:45,480 Speaker 1: now or they are just in this AI capacity. 181 00:09:45,640 --> 00:09:50,040 Speaker 3: Some of them are Amazon is still in the equation. Face. 182 00:09:50,120 --> 00:09:52,719 Speaker 3: Meta is still in the equation, but they've shifted. They 183 00:09:52,720 --> 00:09:55,040 Speaker 3: are more an AI driven company. Now, I could give 184 00:09:55,080 --> 00:09:57,920 Speaker 3: you a boring story about how Amazon's been using AI 185 00:09:58,040 --> 00:10:00,520 Speaker 3: since twenty fifteen and they've really picked up the pace. 186 00:10:01,240 --> 00:10:04,640 Speaker 3: So no AI is driving this growth. And you're right, 187 00:10:04,679 --> 00:10:07,440 Speaker 3: the thing has been replaced by the Mag seven. But 188 00:10:08,200 --> 00:10:10,400 Speaker 3: the Mag seven is real, you know, I know. I 189 00:10:10,440 --> 00:10:11,960 Speaker 3: hear you talk about it a lot about you know, 190 00:10:11,960 --> 00:10:14,840 Speaker 3: how AI comes into the media world, and you know, 191 00:10:14,880 --> 00:10:17,800 Speaker 3: but I must tell you it is legitimate. I've seen 192 00:10:17,840 --> 00:10:21,280 Speaker 3: it increase value. I met with people this week in 193 00:10:21,320 --> 00:10:23,760 Speaker 3: person who are telling me how much it's helping their 194 00:10:23,800 --> 00:10:27,840 Speaker 3: plumbing company, how much is helping their their workout department 195 00:10:28,160 --> 00:10:33,120 Speaker 3: of their financial institution. AI is definitely it's a revolutionary 196 00:10:33,160 --> 00:10:34,960 Speaker 3: productivity game changer. 197 00:10:36,200 --> 00:10:39,839 Speaker 1: Talking to doctor Matt Will, economist at the University of Indianapolis, 198 00:10:40,080 --> 00:10:43,640 Speaker 1: the Mag seven is the Magnificent seven stocks. So it's 199 00:10:43,679 --> 00:10:49,680 Speaker 1: alphabet which is Google, Amazon, Apple, Meta, Microsoft, Nvidia, Tesla. 200 00:10:50,320 --> 00:10:55,440 Speaker 1: Those are the mag seven. We haven't had a discussion 201 00:10:55,520 --> 00:10:59,280 Speaker 1: here about tariffs. You had Aaron Ross Sorkin over there 202 00:10:59,280 --> 00:11:03,240 Speaker 1: at CNBC discussing, Oh I got the tariffs wrong. I'm 203 00:11:03,280 --> 00:11:05,320 Speaker 1: not so sure what I'm supposed to get right or 204 00:11:05,320 --> 00:11:07,000 Speaker 1: get wrong. Tariffs are taxes. 205 00:11:07,040 --> 00:11:09,280 Speaker 2: I haven't changed on this. These are just the facts. 206 00:11:09,559 --> 00:11:16,240 Speaker 1: We're paying more for products, and yet somehow everybody's happy. 207 00:11:16,600 --> 00:11:22,040 Speaker 3: No, No, Toyota USA is losing money. GM is losing money. 208 00:11:22,160 --> 00:11:25,280 Speaker 3: John Deere is losing money. The companies that the tariffs 209 00:11:25,280 --> 00:11:28,360 Speaker 3: are supposed to help manufacturing have been hurt. 210 00:11:29,160 --> 00:11:29,480 Speaker 2: Again. 211 00:11:29,960 --> 00:11:32,800 Speaker 3: Not for the AI, this economy would be in the toilet. 212 00:11:33,080 --> 00:11:37,240 Speaker 3: I sincerely believe that the tariffs have counteracted so many 213 00:11:37,240 --> 00:11:39,760 Speaker 3: of the great things Trump has done. And you know 214 00:11:39,840 --> 00:11:41,319 Speaker 3: this is where the trolls are going to say, Oh, 215 00:11:41,320 --> 00:11:44,920 Speaker 3: he's loom, doom and gloom. Good. I am doom and gloom. 216 00:11:45,040 --> 00:11:48,240 Speaker 3: Tariffs are bad. They're dragging the economy down. Trump is 217 00:11:48,240 --> 00:11:52,000 Speaker 3: his own worth worst enemy. Everything he's doing is hitting 218 00:11:52,040 --> 00:11:54,680 Speaker 3: on all cylinders except for the tariffs, and we see 219 00:11:54,679 --> 00:11:56,559 Speaker 3: it across the board in manufacturing. 220 00:11:57,640 --> 00:12:01,440 Speaker 1: Except he keeps saying it's the greatest word in the world. 221 00:12:01,480 --> 00:12:04,560 Speaker 1: Everything's great. We're taking in all of this money. What 222 00:12:04,600 --> 00:12:07,640 Speaker 1: do you There's been conversations about what he's going to 223 00:12:07,679 --> 00:12:09,760 Speaker 1: do with the money. It's been a conversation's gonna pay 224 00:12:09,760 --> 00:12:10,960 Speaker 1: off debt and then all of a sudden, it's going 225 00:12:11,040 --> 00:12:12,440 Speaker 1: to help out the farmers. 226 00:12:12,480 --> 00:12:14,960 Speaker 2: And then what about a subsidy for this? 227 00:12:15,640 --> 00:12:18,720 Speaker 1: You've collected these billions of dollars from the American people. 228 00:12:19,800 --> 00:12:20,760 Speaker 2: What would you do with it? 229 00:12:22,960 --> 00:12:23,800 Speaker 3: What would I do with it? 230 00:12:23,840 --> 00:12:25,640 Speaker 2: What would you do with it? You're doctor Matt Will. 231 00:12:25,760 --> 00:12:29,480 Speaker 1: You've got the power to decide what happens to all 232 00:12:29,559 --> 00:12:30,880 Speaker 1: the dollars collected by taris. 233 00:12:30,920 --> 00:12:31,600 Speaker 2: What are you gonna do with it? 234 00:12:32,679 --> 00:12:35,720 Speaker 3: Okay, assuming the terrorists exists, I would pay off the debt. 235 00:12:36,360 --> 00:12:38,200 Speaker 3: First of all, I don't want the terroiffs because tarists 236 00:12:38,240 --> 00:12:41,280 Speaker 3: are taxes, and I don't agree with increasing taxes. But 237 00:12:41,360 --> 00:12:44,600 Speaker 3: if you've taken the tax increased, which he has big 238 00:12:44,640 --> 00:12:47,320 Speaker 3: tax increase, and he's collected the money, then just pay 239 00:12:47,320 --> 00:12:50,199 Speaker 3: off the debt. Don't become a democrat. Don't be given 240 00:12:50,240 --> 00:12:52,800 Speaker 3: out goodies and handing money out to people. That's not 241 00:12:52,880 --> 00:12:55,480 Speaker 3: what a capitalist does. That's what a socialist does. And 242 00:12:55,520 --> 00:12:57,920 Speaker 3: I'm not a fan of taking money from one person 243 00:12:57,960 --> 00:12:58,840 Speaker 3: and given it to another. 244 00:13:00,080 --> 00:13:02,800 Speaker 1: To Matt Weell economists at the University of Indianapolis, I 245 00:13:02,800 --> 00:13:04,840 Speaker 1: appreciate and taking the time more. 246 00:13:04,679 --> 00:13:06,760 Speaker 2: To get to. I'm Tony Katz. This is Tony Katz 247 00:13:06,760 --> 00:13:09,319 Speaker 2: today