1 00:00:02,720 --> 00:00:07,240 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,080 --> 00:00:11,559 Speaker 2: Wealgan Stanley's Mike Wilson rising impoor cost exposure for S 3 00:00:11,640 --> 00:00:14,480 Speaker 2: and P five hundred industries. It's more limited thus far, 4 00:00:14,760 --> 00:00:17,599 Speaker 2: given the combination of the countries in scope and the 5 00:00:17,640 --> 00:00:21,400 Speaker 2: exemption seemingly still in place. Mike John is SNAW Football Mike, 6 00:00:21,400 --> 00:00:24,759 Speaker 2: Good morning, morning John. Have we actually been tested? That's 7 00:00:24,800 --> 00:00:26,599 Speaker 2: the question I've got for you, based on the note 8 00:00:26,600 --> 00:00:27,920 Speaker 2: you put out over the weekend. 9 00:00:28,440 --> 00:00:28,640 Speaker 1: Yeah. 10 00:00:28,680 --> 00:00:30,680 Speaker 3: I think we keep getting tested back and forth, And 11 00:00:30,720 --> 00:00:32,479 Speaker 3: I think Amrie did a brilliant job of kind of 12 00:00:32,520 --> 00:00:35,519 Speaker 3: describing yesterday as just another example the president controlling the 13 00:00:35,600 --> 00:00:38,559 Speaker 3: narrative back and forth, you know, maybe the timelines now, 14 00:00:38,600 --> 00:00:40,680 Speaker 3: I mean he lets things go even shorter than he 15 00:00:40,720 --> 00:00:43,120 Speaker 3: comes back in reverses, And I totally agree. I think 16 00:00:43,120 --> 00:00:46,000 Speaker 3: it's about trial balloons. It's no different than FED policy makers. 17 00:00:46,040 --> 00:00:48,440 Speaker 3: It's no different than other policy makers coming in and 18 00:00:48,520 --> 00:00:50,720 Speaker 3: they trial ballooned to see how it will impact the market. 19 00:00:50,880 --> 00:00:53,000 Speaker 3: So have we been tested? Yeah, We've been tested severely. 20 00:00:53,040 --> 00:00:54,320 Speaker 3: In the first three or four months of the year, 21 00:00:54,360 --> 00:00:56,440 Speaker 3: we had a bear market stockture down thirty five to 22 00:00:56,480 --> 00:00:58,760 Speaker 3: forty percent over the prior year. So, I mean, we 23 00:00:58,760 --> 00:01:00,680 Speaker 3: had a bear market, and so now are looking for 24 00:01:00,720 --> 00:01:02,320 Speaker 3: the I go, well, you missed the bear market. 25 00:01:02,320 --> 00:01:02,800 Speaker 1: We had it. 26 00:01:02,880 --> 00:01:05,760 Speaker 3: You know, we bottomed in April, and all the indicators 27 00:01:05,800 --> 00:01:07,800 Speaker 3: we look at from a ready to change standpoint, if 28 00:01:07,800 --> 00:01:10,280 Speaker 3: inflected sharply. That's what we wrote about our mid year update, 29 00:01:10,520 --> 00:01:12,440 Speaker 3: and it's even surprised us to the upside. I mean, 30 00:01:12,480 --> 00:01:15,760 Speaker 3: the arn answer vision breadth is explosive, and so you 31 00:01:15,840 --> 00:01:17,840 Speaker 3: just can't deny that. You can't deny the fact that 32 00:01:17,880 --> 00:01:21,400 Speaker 3: companies are good at mitigating terrors. For example, import prices 33 00:01:21,440 --> 00:01:23,480 Speaker 3: really aren't up that much. So the question is who's 34 00:01:23,520 --> 00:01:25,560 Speaker 3: eating these terrors? That's the big question. I hear now 35 00:01:25,560 --> 00:01:27,760 Speaker 3: from clients like, well, we're collecting all these terrors, but 36 00:01:27,800 --> 00:01:29,760 Speaker 3: where where are they? Some of them are on the 37 00:01:29,800 --> 00:01:32,080 Speaker 3: balance shese of companies that hasn't flowed through the cost 38 00:01:32,080 --> 00:01:34,360 Speaker 3: of goods sold yet, some of them are from exporters. 39 00:01:34,360 --> 00:01:37,240 Speaker 3: They've discounted their pricing. They're eating the terrors, and then 40 00:01:37,280 --> 00:01:39,560 Speaker 3: some it's going to get passed on to the consumer. 41 00:01:39,600 --> 00:01:42,480 Speaker 3: That's to be determined still, And so as we've been saying, 42 00:01:42,520 --> 00:01:45,200 Speaker 3: the third quarter is probably the quarter of risk where 43 00:01:45,200 --> 00:01:46,920 Speaker 3: you'll see some of this flow through to the cost 44 00:01:46,959 --> 00:01:48,880 Speaker 3: of goods sold. I don't think this is, you know, 45 00:01:48,920 --> 00:01:51,200 Speaker 3: a massive correction. It's a five seven percent correction for 46 00:01:51,240 --> 00:01:53,280 Speaker 3: some companies that could be bigger. But this is the 47 00:01:53,360 --> 00:01:55,000 Speaker 3: quarter of risk for where the terrorists will start to 48 00:01:55,040 --> 00:01:57,000 Speaker 3: hit and then but the markets are you thinking about? 49 00:01:57,000 --> 00:02:00,280 Speaker 3: This is a temporary impact and twenty six now Ernie' 50 00:02:00,280 --> 00:02:01,480 Speaker 3: grows standpoint is looking better. 51 00:02:01,760 --> 00:02:03,280 Speaker 2: Is that a correction you'd be looking to buy? 52 00:02:03,280 --> 00:02:03,440 Speaker 1: Then? 53 00:02:03,640 --> 00:02:05,800 Speaker 3: Absolutely, we're looking to I mean, I'm hoping we get 54 00:02:05,800 --> 00:02:07,480 Speaker 3: a pullback to some degree. I think a lot of 55 00:02:07,640 --> 00:02:09,959 Speaker 3: clients are looking for a pullback of some kind. They've 56 00:02:09,960 --> 00:02:12,080 Speaker 3: been surprised we haven't gotten one. But this is what 57 00:02:12,160 --> 00:02:13,799 Speaker 3: the beginning of a new bowl market looks like. 58 00:02:13,880 --> 00:02:14,000 Speaker 1: Right. 59 00:02:14,000 --> 00:02:16,880 Speaker 3: It's just explosive. It doesn't let people in, right. The 60 00:02:16,960 --> 00:02:19,800 Speaker 3: rate of change is accelerating beyond what you expected. So 61 00:02:20,000 --> 00:02:22,000 Speaker 3: it's just I think the pullbacks will be short and shallow. 62 00:02:22,720 --> 00:02:25,360 Speaker 3: Maybe there'll be another surprise, another test of some kind 63 00:02:25,360 --> 00:02:27,679 Speaker 3: that will cause something more severe. But I really can't 64 00:02:27,680 --> 00:02:30,119 Speaker 3: see more than a five or ten percent correction given 65 00:02:30,160 --> 00:02:31,519 Speaker 3: what I see now in the landscape. 66 00:02:31,600 --> 00:02:34,000 Speaker 4: When you think of tariffs, though, I think you're talking 67 00:02:34,040 --> 00:02:37,160 Speaker 4: about the visa the country tariffs, right, the reciprocal what 68 00:02:37,200 --> 00:02:39,960 Speaker 4: about the sectoral tariffs? Does that make it more complicated? 69 00:02:40,160 --> 00:02:40,720 Speaker 1: Absolutely? 70 00:02:40,720 --> 00:02:41,880 Speaker 3: I mean, and that's one of the reason why I 71 00:02:41,919 --> 00:02:43,480 Speaker 3: think a lot of investors have thrown up their hands 72 00:02:43,520 --> 00:02:45,440 Speaker 3: and the market is kind of looking past this. 73 00:02:45,520 --> 00:02:46,720 Speaker 1: Because there's so many carbauts. 74 00:02:46,720 --> 00:02:49,480 Speaker 3: I mean, even the USMCA, right, the exclusions, and that's 75 00:02:49,480 --> 00:02:51,239 Speaker 3: what we've word about this weekend. So a lot of 76 00:02:51,240 --> 00:02:53,399 Speaker 3: the tariffs on China go you know, they go through 77 00:02:53,400 --> 00:02:56,520 Speaker 3: backdoor through Mexico. Well, a lot of that's been excluded, 78 00:02:56,600 --> 00:02:58,440 Speaker 3: so the twenty five percent tariff doesn't even end up 79 00:02:58,480 --> 00:02:58,920 Speaker 3: hitting that. 80 00:02:59,200 --> 00:03:01,200 Speaker 1: And then we have the two two exclusions. 81 00:03:01,200 --> 00:03:04,079 Speaker 3: We just saw that now you know, you can sell 82 00:03:04,160 --> 00:03:07,639 Speaker 3: semiconnectors into China again. So like there's these carve outs 83 00:03:07,639 --> 00:03:10,959 Speaker 3: and it's very confusing. My base case view and has 84 00:03:11,000 --> 00:03:13,560 Speaker 3: been this all year, is ultimately I think that what 85 00:03:13,560 --> 00:03:16,880 Speaker 3: they're going for is a ten percent import tax, basically 86 00:03:16,880 --> 00:03:19,440 Speaker 3: a consumption tax, and that's where we're going to land 87 00:03:19,880 --> 00:03:22,079 Speaker 3: rit large. Now we're not quite there right now if 88 00:03:22,080 --> 00:03:24,960 Speaker 3: you do the math, it's like sixteen seventeen percent. But ultimately, 89 00:03:24,960 --> 00:03:27,440 Speaker 3: if we get to a ten percent import tax. Companies 90 00:03:27,440 --> 00:03:29,360 Speaker 3: can deal with that. You raise three to four hundred 91 00:03:29,360 --> 00:03:31,720 Speaker 3: million dollars in revenue per year. I mean, it's not 92 00:03:31,760 --> 00:03:33,280 Speaker 3: a bad it's not a bad strategy. 93 00:03:33,360 --> 00:03:36,000 Speaker 4: Does the One Big Beautiful Bill tax cuts offset that 94 00:03:36,080 --> 00:03:36,720 Speaker 4: import tax? 95 00:03:36,760 --> 00:03:39,200 Speaker 3: Well, that's exactly the strategy, which is that you're instead 96 00:03:39,240 --> 00:03:43,520 Speaker 3: of taxing companies and private companies and individuals, you're sharing 97 00:03:43,560 --> 00:03:47,040 Speaker 3: the tax now through exporters, importers, and consumers and then 98 00:03:47,120 --> 00:03:49,600 Speaker 3: let the market figure that out, like figure out where the. 99 00:03:49,520 --> 00:03:50,760 Speaker 1: Tax can get allocated. 100 00:03:50,960 --> 00:03:54,600 Speaker 3: So what we're moving from is an economy where capital 101 00:03:54,640 --> 00:03:58,120 Speaker 3: has been allocated by government to an economy where capital 102 00:03:58,200 --> 00:04:01,600 Speaker 3: is being allocated by private corporation. That's the beauty of 103 00:04:01,600 --> 00:04:04,640 Speaker 3: the Big Beautiful Bill is that you're basically shifting the 104 00:04:04,680 --> 00:04:08,160 Speaker 3: economy mix from a publicly driven economy to a privately 105 00:04:08,240 --> 00:04:08,880 Speaker 3: driven economy. 106 00:04:08,880 --> 00:04:10,560 Speaker 1: SOMEBOE we talked about six eight months ago. 107 00:04:10,800 --> 00:04:12,920 Speaker 4: But is there a fiscal impulse given the fact that 108 00:04:13,240 --> 00:04:15,000 Speaker 4: really the crux of the One Big Beautiful Bill is 109 00:04:15,000 --> 00:04:16,479 Speaker 4: an extension of current policy. 110 00:04:16,600 --> 00:04:19,960 Speaker 3: That's right, So there's no incremental fiscal in the traditional 111 00:04:20,000 --> 00:04:23,160 Speaker 3: way you think about it. However, there's a massive positive 112 00:04:23,160 --> 00:04:26,920 Speaker 3: impact to cash earnings for corporations and an incentive structure 113 00:04:26,960 --> 00:04:29,680 Speaker 3: to start investing something that companies have not been doing 114 00:04:29,720 --> 00:04:31,880 Speaker 3: for the last three or four years is investing in capex. 115 00:04:32,720 --> 00:04:35,640 Speaker 3: The bill basically encourages them to spend money in capital 116 00:04:35,640 --> 00:04:37,919 Speaker 3: goods in R and D, something that we need to 117 00:04:37,960 --> 00:04:39,839 Speaker 3: do to grow down the road. 118 00:04:39,960 --> 00:04:41,440 Speaker 2: Let's build on some of this. She talked about the 119 00:04:41,440 --> 00:04:44,320 Speaker 2: broad based earnings revisions. Is that more than just AI, 120 00:04:44,640 --> 00:04:46,560 Speaker 2: more than just big tech? Where are you seeing that? 121 00:04:46,839 --> 00:04:49,359 Speaker 3: So it's been led by the mag seven so to speak, 122 00:04:49,360 --> 00:04:51,280 Speaker 3: But no, it's actually fairly brought now. It is a 123 00:04:51,480 --> 00:04:55,360 Speaker 3: larger company driven sort of revision factor. So the small 124 00:04:55,880 --> 00:04:57,760 Speaker 3: the small companies still aren't seeing it yet. That's what 125 00:04:57,839 --> 00:05:00,240 Speaker 3: we've been underweight. We've remained underweight with the smaller BIS say, 126 00:05:00,240 --> 00:05:02,360 Speaker 3: is now that could change if the FED starts cutting rates. 127 00:05:02,360 --> 00:05:04,760 Speaker 3: That's something we're thinking about for twenty twenty six. But 128 00:05:04,839 --> 00:05:08,719 Speaker 3: it is a fairly broad expansion. It's financials, it's industrials, 129 00:05:08,920 --> 00:05:11,159 Speaker 3: it's some of the software stack which was kind of 130 00:05:11,200 --> 00:05:12,960 Speaker 3: left behind over the last year year and a half. 131 00:05:13,160 --> 00:05:14,520 Speaker 1: So it is it is broadening out. 132 00:05:14,560 --> 00:05:16,560 Speaker 3: And this is I think a function of Look, there's 133 00:05:16,560 --> 00:05:18,680 Speaker 3: been there is pent up demand in the economy, there 134 00:05:19,040 --> 00:05:22,160 Speaker 3: is pent up capex in the economy, and somebody's incentives. Now, 135 00:05:22,200 --> 00:05:25,000 Speaker 3: some of these tax changes, I think do give clarity 136 00:05:25,400 --> 00:05:27,400 Speaker 3: to companies now saying Okay, we can move forward with 137 00:05:27,400 --> 00:05:30,760 Speaker 3: our business. The legislative agenda is done. Now we now 138 00:05:30,760 --> 00:05:32,760 Speaker 3: we can look forward for at least three years, maybe 139 00:05:32,760 --> 00:05:34,400 Speaker 3: not beyond that, but at least for the next three years, 140 00:05:34,520 --> 00:05:35,720 Speaker 3: and we got to get out with our life. 141 00:05:35,760 --> 00:05:37,640 Speaker 2: What are the kind of companies you like at the moment. 142 00:05:37,760 --> 00:05:40,200 Speaker 3: Industrials and financials really are the two areas we've been 143 00:05:40,560 --> 00:05:42,800 Speaker 3: really focused on. And software because I think a lot 144 00:05:42,839 --> 00:05:44,400 Speaker 3: of folks are too bearish on software. 145 00:05:44,440 --> 00:05:47,120 Speaker 1: I understand why. I mean AI, you know, coding and 146 00:05:47,120 --> 00:05:47,400 Speaker 1: all that. 147 00:05:47,440 --> 00:05:48,919 Speaker 3: But at the end of the day, this is the 148 00:05:48,960 --> 00:05:51,600 Speaker 3: part of the tech cycle where you've done the compute 149 00:05:51,960 --> 00:05:54,680 Speaker 3: and now the application layer has to get built so 150 00:05:54,760 --> 00:05:56,760 Speaker 3: that you know, dummies like me on tech can actually 151 00:05:56,880 --> 00:05:58,760 Speaker 3: use this technology and become more productive. 152 00:05:59,160 --> 00:06:00,720 Speaker 2: One of them will can POSSI the Hudson down the 153 00:06:00,800 --> 00:06:03,120 Speaker 2: Hudson in downtown New York, and I look across the 154 00:06:03,200 --> 00:06:06,960 Speaker 2: river to back office city compliance. All of those workers 155 00:06:07,000 --> 00:06:09,440 Speaker 2: that are working for these major financial institutions and forgive 156 00:06:09,440 --> 00:06:10,960 Speaker 2: me because many of them are watching right now and 157 00:06:11,000 --> 00:06:14,200 Speaker 2: this might be a rather brutal conversation. How close are 158 00:06:14,200 --> 00:06:17,320 Speaker 2: we to seeing some big cuts to the amount of 159 00:06:17,400 --> 00:06:18,960 Speaker 2: people to work at these institutions? 160 00:06:19,640 --> 00:06:21,920 Speaker 3: Well, I mean, compliance is definitely one area that will 161 00:06:21,960 --> 00:06:24,719 Speaker 3: be hit not only from AI but also from just 162 00:06:24,760 --> 00:06:27,919 Speaker 3: a change in regulatory environment. Potentially, we don't really know. 163 00:06:28,080 --> 00:06:30,640 Speaker 3: We're not seeing it yet. Okay, I would say that 164 00:06:30,680 --> 00:06:34,280 Speaker 3: the AI concern about employment I think is real. We're 165 00:06:34,279 --> 00:06:37,040 Speaker 3: seeing it. Here's here's the lead indicator. So the largest 166 00:06:37,040 --> 00:06:40,760 Speaker 3: companies who are very fascial with data Okay, you're Nvidios, 167 00:06:40,760 --> 00:06:44,880 Speaker 3: your metas, etc. Are showing the ability to use this data. Microsoft, right, 168 00:06:44,880 --> 00:06:47,360 Speaker 3: They're laying off people more and more because they're able 169 00:06:47,400 --> 00:06:48,039 Speaker 3: to use this data. 170 00:06:48,080 --> 00:06:49,360 Speaker 1: So the question is can. 171 00:06:49,160 --> 00:06:53,920 Speaker 3: That translate into the average company in the economy to 172 00:06:54,279 --> 00:06:57,600 Speaker 3: be determined, But you know, I think that, like I 173 00:06:57,640 --> 00:06:59,200 Speaker 3: don't want to make a statement here, that's not great 174 00:06:59,240 --> 00:07:01,920 Speaker 3: for employees necessarily, but man, if you think about what 175 00:07:02,040 --> 00:07:03,600 Speaker 3: it does for S and P earnings, well, this is 176 00:07:03,640 --> 00:07:03,960 Speaker 3: it might. 177 00:07:04,040 --> 00:07:04,719 Speaker 1: Really really positive. 178 00:07:04,760 --> 00:07:06,680 Speaker 3: That's why the multiple keeps expanding because that's what it's 179 00:07:06,720 --> 00:07:07,400 Speaker 3: looking forward. 180 00:07:07,200 --> 00:07:09,640 Speaker 2: To the conversation for further down the road, and this 181 00:07:09,680 --> 00:07:11,640 Speaker 2: is the next several years, you can have this really 182 00:07:11,640 --> 00:07:14,920 Speaker 2: strange dynamic where the labor market data stinks, but the 183 00:07:15,000 --> 00:07:17,360 Speaker 2: yearnings coming out of these companies might be really powerful. 184 00:07:17,400 --> 00:07:20,480 Speaker 2: I just wonder how far you can push that, How 185 00:07:20,480 --> 00:07:21,480 Speaker 2: far can we push that. 186 00:07:21,720 --> 00:07:23,320 Speaker 3: Well, we're going to find out, I think, because I 187 00:07:23,360 --> 00:07:25,920 Speaker 3: think companies or US companies are really good at cutting costs, 188 00:07:25,920 --> 00:07:29,080 Speaker 3: whether it's employees or you know, other types of expenses, 189 00:07:29,120 --> 00:07:30,760 Speaker 3: and so I mean that's what they're that's what they're 190 00:07:30,760 --> 00:07:32,040 Speaker 3: going to do because we're still in kind of a 191 00:07:32,080 --> 00:07:34,920 Speaker 3: slow growth top line environment, so companies have to become 192 00:07:34,920 --> 00:07:36,520 Speaker 3: more efficient. Plus they have to offset some of these 193 00:07:36,520 --> 00:07:38,000 Speaker 3: other things like terrafs and things like that. 194 00:07:38,040 --> 00:07:39,400 Speaker 1: So but companies will figure that out. 195 00:07:39,400 --> 00:07:41,320 Speaker 3: That's why the market continues to go for the high 196 00:07:41,360 --> 00:07:44,520 Speaker 3: quality businesses. One other thing that we haven't talked about 197 00:07:44,560 --> 00:07:47,240 Speaker 3: yet is last week's Supreme Court ruling I think was 198 00:07:47,280 --> 00:07:51,080 Speaker 3: really fascinating with respect to the government's ability to do 199 00:07:51,200 --> 00:07:54,200 Speaker 3: these reductions in force you know from the DOGE. 200 00:07:53,920 --> 00:07:55,760 Speaker 1: And this this this could be. 201 00:07:56,040 --> 00:07:58,360 Speaker 3: Also quite interesting development where this is like the return 202 00:07:58,400 --> 00:08:01,120 Speaker 3: of DOGE. Because I would say most people are disappointed 203 00:08:01,160 --> 00:08:03,200 Speaker 3: that those wasn't allowed to kind of complete the deal. 204 00:08:03,680 --> 00:08:05,840 Speaker 1: They were kind of blocked. They weren't able to kind 205 00:08:05,840 --> 00:08:07,720 Speaker 1: of reduce government headcount. 206 00:08:08,400 --> 00:08:11,560 Speaker 3: And maybe this ruling by the Supreme Court allows those 207 00:08:11,640 --> 00:08:14,200 Speaker 3: to kind of return and we could see headcount reduction 208 00:08:14,280 --> 00:08:17,320 Speaker 3: in government, which is another type of a slowdown in labor, 209 00:08:17,560 --> 00:08:21,440 Speaker 3: which won't affect the market. Right, That's not great for 210 00:08:21,480 --> 00:08:25,520 Speaker 3: government employees necessarily, but that will liberate Okay, you know 211 00:08:25,720 --> 00:08:27,320 Speaker 3: kind of the private economy. 212 00:08:27,360 --> 00:08:28,880 Speaker 1: Once again, two parts. 213 00:08:28,680 --> 00:08:31,120 Speaker 4: Of these conversations. When you talk about the fact that 214 00:08:31,200 --> 00:08:33,880 Speaker 4: more capital being allocated to the private sector, not the 215 00:08:33,960 --> 00:08:37,400 Speaker 4: US government. But if you have companies laying off people 216 00:08:37,440 --> 00:08:40,360 Speaker 4: because of AI, who has to step in to help 217 00:08:40,880 --> 00:08:43,640 Speaker 4: what potentially could be high unemployment rates. 218 00:08:43,640 --> 00:08:44,920 Speaker 2: It's going to be the US government. 219 00:08:45,160 --> 00:08:46,959 Speaker 3: Yeah, well, I would hope that, you know, instead of 220 00:08:47,040 --> 00:08:48,960 Speaker 3: laying people off, you just make them more productive. I 221 00:08:48,960 --> 00:08:51,720 Speaker 3: mean ultimately, so everyone says yeah, but I mean that 222 00:08:52,160 --> 00:08:53,320 Speaker 3: at the end of the day, if you look at 223 00:08:53,360 --> 00:08:55,160 Speaker 3: the private economy for the last three years, this is 224 00:08:55,160 --> 00:08:57,680 Speaker 3: something that doesn't get a lot of airtime. The private 225 00:08:57,920 --> 00:09:00,880 Speaker 3: labor force has not really ground the most part. Okay, 226 00:09:00,880 --> 00:09:05,480 Speaker 3: it's been a government heavy healthcare, heavy education like state 227 00:09:05,480 --> 00:09:08,520 Speaker 3: and local jobs, and so the private economy has been 228 00:09:08,840 --> 00:09:10,640 Speaker 3: operating with fewer employees already. 229 00:09:10,800 --> 00:09:12,000 Speaker 1: This is not a new deal. 230 00:09:12,360 --> 00:09:14,520 Speaker 3: I mean, companies once again are really good at being 231 00:09:14,520 --> 00:09:17,679 Speaker 3: more efficient. So you know, my hope would be that 232 00:09:17,720 --> 00:09:20,040 Speaker 3: we could just grow with fewer people. By the way, 233 00:09:20,080 --> 00:09:22,319 Speaker 3: we have less immigrants now right because of the shutdown 234 00:09:22,440 --> 00:09:24,240 Speaker 3: the border, so we kind of need this. 235 00:09:24,400 --> 00:09:26,000 Speaker 1: We need to fill that. 236 00:09:26,040 --> 00:09:29,559 Speaker 3: Gap of making the people who are in America more 237 00:09:29,559 --> 00:09:31,319 Speaker 3: productive and so we can grow the economy. 238 00:09:31,600 --> 00:09:34,280 Speaker 2: Mike Wilson smile is always good to see you. Thank you, sir,