1 00:00:00,120 --> 00:00:03,040 Speaker 1: Yesterday, President Trump signed an executive order that he said 2 00:00:03,160 --> 00:00:07,800 Speaker 1: was meant to protect American workers. I will be signing 3 00:00:07,920 --> 00:00:12,920 Speaker 1: a buy American and Higher American executive order. You haven't 4 00:00:12,920 --> 00:00:16,000 Speaker 1: heard about that in a long time in this country. 5 00:00:16,120 --> 00:00:19,759 Speaker 1: With this action, we are sending a powerful signal to 6 00:00:19,800 --> 00:00:23,720 Speaker 1: the world. We're going to defend our workers, protect our jobs, 7 00:00:23,840 --> 00:00:28,960 Speaker 1: and finally put America first. The order takes him at 8 00:00:28,960 --> 00:00:33,200 Speaker 1: two specific areas, federal government requirements to purchase American goods 9 00:00:33,240 --> 00:00:36,120 Speaker 1: and services, which the order aims to enforce, and the 10 00:00:36,320 --> 00:00:39,280 Speaker 1: H one B VISA Program for Temporary employment of foreign 11 00:00:39,360 --> 00:00:43,160 Speaker 1: workers with highly specialized knowledge, a visa program that's relied 12 00:00:43,159 --> 00:00:46,479 Speaker 1: on by Silicon Valley tech companies and technology outsourcing firms. 13 00:00:47,000 --> 00:00:49,279 Speaker 1: The President says the order is meant to end abuses 14 00:00:49,280 --> 00:00:52,879 Speaker 1: of the VISA program that allow companies to replace American 15 00:00:52,920 --> 00:00:56,440 Speaker 1: workers with foreign workers for less pay. Here to talk 16 00:00:56,480 --> 00:00:59,720 Speaker 1: with us about the possible impact of President Trump's executive 17 00:00:59,760 --> 00:01:02,760 Speaker 1: order are David beerd immigration policy analyst at the Cato 18 00:01:02,840 --> 00:01:07,360 Speaker 1: Institute's Center for Global Liberty and Prosperity, and Angelo Paparelli, 19 00:01:07,600 --> 00:01:14,000 Speaker 1: a partner at Sayforth Shaw Angelo. What reforms do we 20 00:01:14,120 --> 00:01:17,240 Speaker 1: know that from this order that there the Trump administration 21 00:01:17,280 --> 00:01:21,959 Speaker 1: is going to undertake to change the visa program. Well, 22 00:01:22,240 --> 00:01:27,600 Speaker 1: the the order really it does not involve any immediate 23 00:01:27,640 --> 00:01:32,640 Speaker 1: action or any media deadline, and it appears that these 24 00:01:32,640 --> 00:01:38,280 Speaker 1: are aspirational instructions rather than hardened fast changes. There are 25 00:01:38,280 --> 00:01:44,920 Speaker 1: two sets of instructions in the order. One deals with 26 00:01:45,560 --> 00:01:52,600 Speaker 1: UH suggesting new UH rules and policy guidance that would 27 00:01:52,640 --> 00:01:57,480 Speaker 1: supersede or revise previous rules and guidance. Well, UH, that 28 00:01:57,560 --> 00:02:02,000 Speaker 1: triggers a very complicated, time consumed process under the Administrative 29 00:02:02,000 --> 00:02:07,160 Speaker 1: Procedure Act, where rules are proposed and the Office of 30 00:02:07,200 --> 00:02:11,440 Speaker 1: Management and Budget UH screens the rule, circulates copies to 31 00:02:11,520 --> 00:02:15,560 Speaker 1: multiple federal agencies and departments, and then gets feedback while 32 00:02:15,600 --> 00:02:18,840 Speaker 1: the while the members of the public and the stakeholder 33 00:02:18,880 --> 00:02:21,960 Speaker 1: community have an opportunity to talk about it. There's no 34 00:02:22,040 --> 00:02:25,400 Speaker 1: deadline set for this, and I think that's wise since 35 00:02:25,480 --> 00:02:28,520 Speaker 1: it's almost impossible to predict how long that will go. 36 00:02:29,480 --> 00:02:33,040 Speaker 1: But the second one is interesting because it introduces a 37 00:02:33,080 --> 00:02:39,320 Speaker 1: concept that we should accord these visas to individuals who 38 00:02:39,480 --> 00:02:45,480 Speaker 1: are among the highest paid and the most skilled in 39 00:02:45,480 --> 00:02:49,120 Speaker 1: in the particular field. UH. That is not allowed in 40 00:02:49,160 --> 00:02:53,280 Speaker 1: the law at present. UH, and the Congress would have 41 00:02:53,360 --> 00:02:57,680 Speaker 1: to act to bring that about. It would also involve 42 00:02:57,720 --> 00:03:01,760 Speaker 1: a rather gargantuan task, much harder than a lottery. In 43 00:03:01,800 --> 00:03:05,280 Speaker 1: a lottery, it's just a random draw. But in trying 44 00:03:05,360 --> 00:03:09,640 Speaker 1: to filter through UH. The this time, it was about 45 00:03:09,639 --> 00:03:14,560 Speaker 1: two hundred and thirty three thousand H petitions submitted for 46 00:03:14,639 --> 00:03:19,920 Speaker 1: eighty five thousand lucky UH recipients who are selected to 47 00:03:20,000 --> 00:03:24,640 Speaker 1: try to filter through two hundred and thirty thousand, divided 48 00:03:24,760 --> 00:03:29,120 Speaker 1: by industry and occupation, and then come up with a 49 00:03:29,160 --> 00:03:32,840 Speaker 1: method of determining a comparison as to which are the 50 00:03:32,880 --> 00:03:36,600 Speaker 1: most highest skilled and highest paid. That that's a not 51 00:03:36,720 --> 00:03:40,680 Speaker 1: an easy task for an agency not known to be nimble. 52 00:03:41,480 --> 00:03:46,000 Speaker 1: David Trump said the visa program has driven down wages 53 00:03:46,160 --> 00:03:50,760 Speaker 1: for Americans. Is that true when only eighty five thousand, 54 00:03:51,120 --> 00:03:55,440 Speaker 1: h one B visas are available each year? Well, no, 55 00:03:55,600 --> 00:03:59,200 Speaker 1: it's not true. UM. If you look at the industry 56 00:03:59,520 --> 00:04:04,040 Speaker 1: over all, what you see is that these foreign immigrant 57 00:04:04,040 --> 00:04:08,520 Speaker 1: workers who come in end up taking certain types of jobs, 58 00:04:08,800 --> 00:04:12,760 Speaker 1: and UH native born workers have responded to that by 59 00:04:12,760 --> 00:04:16,760 Speaker 1: moving into managerial positions and moving up the pay scale. 60 00:04:17,160 --> 00:04:20,200 Speaker 1: And so there has been a shifting in the industry 61 00:04:20,760 --> 00:04:25,360 Speaker 1: over the past decade or so. But you're not seeing 62 00:04:25,520 --> 00:04:30,560 Speaker 1: this kind of horror stories of displacement and unemployment and 63 00:04:31,440 --> 00:04:37,200 Speaker 1: declining wages. In fact, h wages in the largest fields 64 00:04:37,320 --> 00:04:39,960 Speaker 1: UM that H one vs go to, the most common 65 00:04:40,120 --> 00:04:44,560 Speaker 1: H one B occupations have actually increased. Well. Uh, wages 66 00:04:44,600 --> 00:04:48,200 Speaker 1: in other sectors of the economy have gone down. And 67 00:04:48,320 --> 00:04:54,080 Speaker 1: so it's really a very selective reading of the information 68 00:04:54,240 --> 00:04:57,000 Speaker 1: that he has received, uh, in order to come to 69 00:04:57,040 --> 00:05:00,640 Speaker 1: this conclusion. And if you actually look at when these 70 00:05:00,839 --> 00:05:03,840 Speaker 1: H one b s are coming and when companies are 71 00:05:03,920 --> 00:05:09,039 Speaker 1: demanding H one bees, it's overwhelmingly at times when the 72 00:05:09,160 --> 00:05:13,000 Speaker 1: unemployment rate in these industries, these these tech computer and 73 00:05:13,080 --> 00:05:18,679 Speaker 1: mathematics jobs are very the unemployment rate is very very low, 74 00:05:19,080 --> 00:05:22,039 Speaker 1: and and it's very very low right now. And so 75 00:05:22,600 --> 00:05:25,640 Speaker 1: it's just not true that you're seeing this kind of 76 00:05:25,680 --> 00:05:31,040 Speaker 1: displacement and replacement um overall in the industry. Uh. There's 77 00:05:31,200 --> 00:05:34,280 Speaker 1: there have been a few cases, but uh, not the 78 00:05:34,320 --> 00:05:37,320 Speaker 1: general trend that he's trying to create. Angelo. We have 79 00:05:37,360 --> 00:05:41,120 Speaker 1: about thirty seconds. But is there a feeling in the 80 00:05:41,160 --> 00:05:43,720 Speaker 1: industries that use these visas that there's a need to 81 00:05:43,880 --> 00:05:49,760 Speaker 1: change the program. Well, there's a tremendous need to eliminate 82 00:05:50,320 --> 00:05:53,880 Speaker 1: the cap which is artificial and which not has not 83 00:05:54,040 --> 00:06:00,520 Speaker 1: changed meaningfully since Uh. The number of workers where positions 84 00:06:00,520 --> 00:06:04,359 Speaker 1: are in short supply, UM, excuse me, where workers are 85 00:06:04,400 --> 00:06:10,200 Speaker 1: in short supply in terms of the positions is very disproportionate. UH. Recently, 86 00:06:10,240 --> 00:06:15,280 Speaker 1: the San Diego Union Tribune said that, UM, there are 87 00:06:15,360 --> 00:06:19,160 Speaker 1: eighty thousand dollar jobs available that go begging for applicants, 88 00:06:19,600 --> 00:06:24,719 Speaker 1: UH in cybersecurity, and UH that uh these are are 89 00:06:24,720 --> 00:06:27,120 Speaker 1: our jobs that are Angela. Let me ask you to 90 00:06:27,160 --> 00:06:30,720 Speaker 1: hold that the President Trump yesterday signed an executive order 91 00:06:30,800 --> 00:06:34,680 Speaker 1: that requires the Secretary of State, the Attorney General, the 92 00:06:34,720 --> 00:06:37,919 Speaker 1: Secretary of Labor, and the Secretary of Homeland Security to 93 00:06:38,000 --> 00:06:41,680 Speaker 1: suggest reforms to help ensure that H one B visas, 94 00:06:41,720 --> 00:06:45,479 Speaker 1: which are for foreign workers with highly specialized knowledge, are 95 00:06:45,520 --> 00:06:48,719 Speaker 1: only awarded to the most highly skilled or highest paid workers. 96 00:06:49,000 --> 00:06:51,960 Speaker 1: The President says that this the changing the H one 97 00:06:52,000 --> 00:06:55,200 Speaker 1: B visa program would protect American workers and end abuses 98 00:06:55,240 --> 00:06:58,200 Speaker 1: in the program. We are talking about the President's order 99 00:06:58,240 --> 00:07:01,400 Speaker 1: with David Beer, an immigration policy analysts at the Cato Institute, 100 00:07:01,640 --> 00:07:05,320 Speaker 1: and Angelo Paparelli, a partner at say Fur Show. Angelo, 101 00:07:05,360 --> 00:07:09,200 Speaker 1: we were talking about, um, what actually is needed to 102 00:07:09,200 --> 00:07:12,480 Speaker 1: reform the program, And you suggested lifting the the number, 103 00:07:12,960 --> 00:07:15,440 Speaker 1: lifting the cap and having a higher number of visas 104 00:07:15,480 --> 00:07:17,360 Speaker 1: would actually be a good way to reform the program. 105 00:07:17,360 --> 00:07:20,160 Speaker 1: But it seems unlikely that that's what President Trump is 106 00:07:20,160 --> 00:07:23,040 Speaker 1: aiming for here, right, And so is this order really 107 00:07:23,080 --> 00:07:25,440 Speaker 1: about sort of kind of making a more rational system 108 00:07:25,560 --> 00:07:29,280 Speaker 1: or is it really about restricting immigration? Well, Uh, we 109 00:07:29,360 --> 00:07:32,160 Speaker 1: have to take it in context. Previously, in meeting with 110 00:07:32,560 --> 00:07:36,119 Speaker 1: leaders from Silicon Valley, Uh, he seemed to be open 111 00:07:37,000 --> 00:07:40,800 Speaker 1: to their concerns as well. Uh, We've had higher numbers 112 00:07:40,800 --> 00:07:43,720 Speaker 1: in the past. Uh, and usually it was a trade 113 00:07:43,720 --> 00:07:46,960 Speaker 1: off stricter regulation for higher numbers, and I think that 114 00:07:47,000 --> 00:07:49,560 Speaker 1: would be the way to go. At one point we 115 00:07:49,640 --> 00:07:53,760 Speaker 1: had a hundred ninety thousand and up to more than 116 00:07:53,800 --> 00:07:56,400 Speaker 1: two hundred thousand numbers as as opposed to what we 117 00:07:56,440 --> 00:08:03,000 Speaker 1: have now eight thousand and So, David, will Silicon Valley 118 00:08:03,000 --> 00:08:07,480 Speaker 1: be benefiting from this or is this purely a lottery 119 00:08:07,560 --> 00:08:12,000 Speaker 1: system so you don't see who benefits? Well, Look, the 120 00:08:12,080 --> 00:08:16,400 Speaker 1: lottery is bad for many of the big tech companies 121 00:08:16,440 --> 00:08:21,520 Speaker 1: like Google and Microsoft, who actually pay their workers far 122 00:08:21,640 --> 00:08:24,680 Speaker 1: more than they're required to under the law, and what 123 00:08:24,840 --> 00:08:27,680 Speaker 1: ends up happening is that in the lottery system you 124 00:08:27,760 --> 00:08:32,680 Speaker 1: have these I T staffing companies that submit thousands upon 125 00:08:32,800 --> 00:08:35,840 Speaker 1: thousands of applications, and so then they win the lottery 126 00:08:35,960 --> 00:08:39,360 Speaker 1: because they have the most raffle tickets, not because they 127 00:08:39,559 --> 00:08:44,160 Speaker 1: have the greatest need or are going to pay the worker. 128 00:08:44,240 --> 00:08:47,120 Speaker 1: They're they're going to bring over the most money. And 129 00:08:47,200 --> 00:08:52,520 Speaker 1: so there are companies who would actually benefit um from 130 00:08:52,600 --> 00:08:55,120 Speaker 1: you know, raising the minimum wage for H one B 131 00:08:55,320 --> 00:08:57,760 Speaker 1: or that type of thing, but all of those types 132 00:08:57,800 --> 00:09:00,880 Speaker 1: of regulations are really unnecessary. What we have in the 133 00:09:01,120 --> 00:09:05,520 Speaker 1: H one B market is this uh sort of fraudulent 134 00:09:05,640 --> 00:09:10,000 Speaker 1: government created problem, which is that the workers are stuck 135 00:09:10,040 --> 00:09:14,040 Speaker 1: with a single employer. If the worker can leave his 136 00:09:14,120 --> 00:09:17,360 Speaker 1: employer at any time and go get paid, uh for 137 00:09:17,880 --> 00:09:21,560 Speaker 1: you know, forty dollars more at another tech company, then 138 00:09:21,600 --> 00:09:24,080 Speaker 1: he'll do that if he has access to the market. 139 00:09:24,480 --> 00:09:27,560 Speaker 1: The only way a company can get away with paying 140 00:09:27,920 --> 00:09:31,720 Speaker 1: below market wages is if the worker doesn't have access 141 00:09:31,760 --> 00:09:34,840 Speaker 1: to the market. And so the real reform that that 142 00:09:34,960 --> 00:09:39,800 Speaker 1: President Trump could actually do here is make it easy 143 00:09:39,840 --> 00:09:43,920 Speaker 1: for workers to leave an employer that underpays them. Angelo 144 00:09:44,640 --> 00:09:47,920 Speaker 1: Given that so many of these visas are given to 145 00:09:48,080 --> 00:09:51,440 Speaker 1: workers who end up at companies that are really outsourcing firms. 146 00:09:51,480 --> 00:09:54,760 Speaker 1: They they do contracting work for other companies in technology 147 00:09:54,800 --> 00:09:58,000 Speaker 1: and fields like that, UM, and that. You know, that's 148 00:09:58,000 --> 00:10:00,640 Speaker 1: why the Silicon Valley companies aren't getting all of the visas. 149 00:10:02,320 --> 00:10:04,680 Speaker 1: Is it actually a good thing to sort of figure 150 00:10:04,679 --> 00:10:07,840 Speaker 1: out a way to restrict their ability to get these 151 00:10:07,960 --> 00:10:11,800 Speaker 1: visas those companies, well, I take issue with what David 152 00:10:11,840 --> 00:10:16,200 Speaker 1: said calling them staffing companies. These are really business process 153 00:10:16,320 --> 00:10:21,280 Speaker 1: and I t consulting firms that introduce much needed innovations 154 00:10:21,320 --> 00:10:24,440 Speaker 1: in the way American businesses operate and make them more 155 00:10:24,480 --> 00:10:29,400 Speaker 1: globally competitive. I think a promising bill would be to 156 00:10:29,480 --> 00:10:34,400 Speaker 1: start with what Representative Zoe Lofgren, a Democrat from Silicon Valley, 157 00:10:34,440 --> 00:10:38,320 Speaker 1: has proposed, which would allocate a certain number of the visas. 158 00:10:38,320 --> 00:10:41,640 Speaker 1: If we have to stay with a cap too smaller 159 00:10:41,679 --> 00:10:45,280 Speaker 1: employers that will not be filing many many. But I 160 00:10:45,320 --> 00:10:49,440 Speaker 1: think it's misleading, uh, to to point the blame at 161 00:10:49,559 --> 00:10:54,120 Speaker 1: consulting firms. They're not really staff augmentation firms. Uh. They're 162 00:10:54,200 --> 00:10:58,080 Speaker 1: much more sophisticated than that. And when Americans want to 163 00:10:58,400 --> 00:11:01,880 Speaker 1: say we've had enough technology, then I think, uh, we 164 00:11:01,960 --> 00:11:04,439 Speaker 1: can perhaps reduce the H one B, but no one 165 00:11:04,480 --> 00:11:07,520 Speaker 1: has an appetite for that. Uh do you want to 166 00:11:07,559 --> 00:11:11,960 Speaker 1: give us a thirty second response to that? David? You know, 167 00:11:12,000 --> 00:11:14,760 Speaker 1: I think we're just talking about semantics. I don't disagree 168 00:11:15,600 --> 00:11:19,320 Speaker 1: with anything that Angela just said. UM. Ultimately, you know, 169 00:11:19,400 --> 00:11:24,040 Speaker 1: these companies provide a valuable um, you know, asset to 170 00:11:24,080 --> 00:11:27,560 Speaker 1: the firms that are that they are supporting, and so 171 00:11:27,920 --> 00:11:32,880 Speaker 1: there's no reason to prevent them from UM accessing the 172 00:11:33,040 --> 00:11:36,360 Speaker 1: H one B. We need more H one b s. 173 00:11:36,840 --> 00:11:40,440 Speaker 1: But my point was that some of these large companies 174 00:11:40,480 --> 00:11:46,160 Speaker 1: who pay workers more would ultimately benefit. Uh if the 175 00:11:46,640 --> 00:11:49,960 Speaker 1: you know, the minimum wage was raised or other things 176 00:11:49,960 --> 00:11:55,640 Speaker 1: were done to restrict access to the H one bree Well, 177 00:11:55,800 --> 00:11:57,680 Speaker 1: we're out of time now, so our thanks to David 178 00:11:57,679 --> 00:12:01,080 Speaker 1: Beer of the Cato Institute and Angela Paparelli, a partner 179 00:12:01,080 --> 00:12:03,800 Speaker 1: at Safe Firth sherff Ford, talking about immigration policy and 180 00:12:03,800 --> 00:12:08,319 Speaker 1: the President's order on UM on the H one B 181 00:12:08,480 --> 00:12:10,480 Speaker 1: visa program, which was issued yesterday