1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Bramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:32,720 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. We 7 00:00:32,760 --> 00:00:36,560 Speaker 1: did get those jobs numbers earlier today. They were great 8 00:00:36,760 --> 00:00:40,880 Speaker 1: by almost all accounts, with you participation increasing the job 9 00:00:41,159 --> 00:00:43,760 Speaker 1: right following to the lowest and two thousand and even 10 00:00:44,000 --> 00:00:47,680 Speaker 1: wages accelerating. But Kennis continue and what does this mean 11 00:00:47,960 --> 00:00:50,559 Speaker 1: about the path fed rate hikes? To answer all of 12 00:00:50,600 --> 00:00:53,440 Speaker 1: these questions for us, I want to bring in Torsten Slock. 13 00:00:53,520 --> 00:00:58,200 Speaker 1: He's chief international economist at Deutsche Bank, also a publisher 14 00:00:58,280 --> 00:01:01,520 Speaker 1: of charts that are ex jraordinary and timely tours and 15 00:01:01,520 --> 00:01:04,160 Speaker 1: thank you so much for joining us. So first, just 16 00:01:04,200 --> 00:01:06,920 Speaker 1: can you please just give us your take on today's 17 00:01:07,080 --> 00:01:11,360 Speaker 1: jobs report. No, absolutely, you just summarized it very well. 18 00:01:11,720 --> 00:01:15,040 Speaker 1: This is indeed some very good numbers, both on the headline, 19 00:01:15,040 --> 00:01:17,760 Speaker 1: of course, a number of jobs creative, the unemploying rate falling, 20 00:01:18,240 --> 00:01:22,039 Speaker 1: and most importantly we've been waiting for wages to go up, 21 00:01:22,520 --> 00:01:26,960 Speaker 1: and it's in some sense finally happening after quite some time, 22 00:01:27,640 --> 00:01:29,480 Speaker 1: and in some sense it's a really good day for 23 00:01:29,480 --> 00:01:32,600 Speaker 1: the economics profession. We have been looking for wages to 24 00:01:32,600 --> 00:01:34,360 Speaker 1: go up. We've seen in the number of indicators, the 25 00:01:34,360 --> 00:01:37,080 Speaker 1: employment cousindics have gone up, the quitch rate has been high, 26 00:01:37,400 --> 00:01:39,800 Speaker 1: and now we're finally also seeing the last few drop 27 00:01:39,880 --> 00:01:42,960 Speaker 1: here in the average old learning Stata today also checking higher. 28 00:01:43,040 --> 00:01:45,960 Speaker 1: So overall it is it is very good news both 29 00:01:46,040 --> 00:01:48,280 Speaker 1: for the American consumer and for the US economy. Are 30 00:01:48,320 --> 00:01:51,600 Speaker 1: you basically saying that the Phillips curve works? Yes, So 31 00:01:51,640 --> 00:01:54,120 Speaker 1: now of course the forensics can begin that we can 32 00:01:54,160 --> 00:01:56,480 Speaker 1: begin to discuss why has it not worked, or has 33 00:01:56,520 --> 00:01:59,000 Speaker 1: it been dead, or is it waking up, or what 34 00:01:59,080 --> 00:02:02,440 Speaker 1: was the reason why it took so long time. One 35 00:02:02,440 --> 00:02:05,400 Speaker 1: answer to that is that we have seen a structural 36 00:02:05,600 --> 00:02:09,120 Speaker 1: change over the last several years where the number of 37 00:02:09,160 --> 00:02:13,040 Speaker 1: people who are staying in their jobs. If you do that, 38 00:02:13,080 --> 00:02:16,920 Speaker 1: you tend to get basically very little weight increase. So 39 00:02:16,960 --> 00:02:18,840 Speaker 1: what we have seen more recently is that the number 40 00:02:18,840 --> 00:02:21,480 Speaker 1: of people who are quitting jobs, they have tended to 41 00:02:21,520 --> 00:02:24,440 Speaker 1: get higher weight growth, and the fact that the data 42 00:02:24,480 --> 00:02:26,639 Speaker 1: to day shows you that we are at the highest 43 00:02:26,720 --> 00:02:30,080 Speaker 1: level of people who voluntarily are leaving their jobs in 44 00:02:30,160 --> 00:02:33,639 Speaker 1: twenty years. And that's also voting quote unquote wealth for 45 00:02:33,880 --> 00:02:37,320 Speaker 1: more wage pressure going forward, simply because people who stay 46 00:02:37,360 --> 00:02:39,680 Speaker 1: in their jobs tend to get very little weight increase, 47 00:02:39,720 --> 00:02:41,920 Speaker 1: whereas if you switch jobs, that's when you get the 48 00:02:41,919 --> 00:02:44,000 Speaker 1: big wage books. And the more people who are switching jobs, 49 00:02:44,240 --> 00:02:46,160 Speaker 1: the more we will see wege increase. In some sense, 50 00:02:46,160 --> 00:02:48,720 Speaker 1: looking at it today, it does make sense to say 51 00:02:48,760 --> 00:02:51,399 Speaker 1: that wages have been going up because the Phillips curve 52 00:02:51,639 --> 00:02:54,440 Speaker 1: structurally changed so that you had to be a job 53 00:02:54,520 --> 00:02:57,320 Speaker 1: switcher to see an increase in wages. Rather if you 54 00:02:57,360 --> 00:02:59,760 Speaker 1: were a job stayer, then you would not see an 55 00:02:59,760 --> 00:03:03,000 Speaker 1: increa reacent wages. So it's implicitly a recommendation for everyone 56 00:03:03,040 --> 00:03:05,079 Speaker 1: here to go out and switch jobs, because this is 57 00:03:05,120 --> 00:03:08,520 Speaker 1: the main way today to get away increase. Okay, let's 58 00:03:08,560 --> 00:03:10,160 Speaker 1: say you don't want to switch a job. Let's say 59 00:03:10,160 --> 00:03:12,600 Speaker 1: you're just looking for a job, or indeed you're out 60 00:03:12,600 --> 00:03:14,840 Speaker 1: of the labor force. What's your thought about the labor 61 00:03:14,880 --> 00:03:20,160 Speaker 1: force participation rate? Yes, so that has as you implicitly 62 00:03:20,160 --> 00:03:22,640 Speaker 1: having your question that has been not been tacking up 63 00:03:22,680 --> 00:03:26,280 Speaker 1: as much as we all would have thought. But that 64 00:03:26,360 --> 00:03:28,480 Speaker 1: being said, there are a number of reasons why people 65 00:03:28,480 --> 00:03:32,080 Speaker 1: are still outside the labor market. Some people are structurally 66 00:03:32,080 --> 00:03:34,960 Speaker 1: difficult to get into the labor market again. But we 67 00:03:35,000 --> 00:03:37,960 Speaker 1: are beginning to see, and this was in the basebook 68 00:03:38,240 --> 00:03:42,320 Speaker 1: this week, anecdotes that the employers are beginning to relax 69 00:03:42,360 --> 00:03:48,280 Speaker 1: conditions for drug testing and also conditions for criminal records testing, 70 00:03:48,840 --> 00:03:51,840 Speaker 1: and those anecdotes are telling us very importantly that we 71 00:03:51,880 --> 00:03:56,520 Speaker 1: are beginning to reach the outer stock of the labor 72 00:03:56,560 --> 00:03:59,480 Speaker 1: force in terms of how much available labor there is. 73 00:03:59,520 --> 00:04:02,880 Speaker 1: So I understand that the participation rate could potentially be 74 00:04:02,960 --> 00:04:05,920 Speaker 1: slightly higher, but the generally speaking, the fact that wages 75 00:04:05,920 --> 00:04:08,880 Speaker 1: are going up is indeed already selling us that if 76 00:04:08,920 --> 00:04:11,520 Speaker 1: there really were all these people sitting outside the labor market, 77 00:04:11,720 --> 00:04:13,960 Speaker 1: then we would not see where just go up at 78 00:04:13,960 --> 00:04:16,359 Speaker 1: this point, So we still believe that the labor market 79 00:04:16,400 --> 00:04:19,080 Speaker 1: is very tight, and therefore that we are again going 80 00:04:19,120 --> 00:04:21,800 Speaker 1: to see more upward pressure on wages going forward, so 81 00:04:21,880 --> 00:04:24,719 Speaker 1: towards in. One thing that struck me was that the 82 00:04:24,800 --> 00:04:28,000 Speaker 1: yield curve flattened after this report. In other words, the 83 00:04:28,040 --> 00:04:32,200 Speaker 1: gap between ten and two year treasury yields flatten. It's 84 00:04:32,240 --> 00:04:34,960 Speaker 1: about the lowest since two thousands seven. It seems to 85 00:04:35,040 --> 00:04:37,080 Speaker 1: indicate the people think that the Federal Reserve is going 86 00:04:37,120 --> 00:04:41,679 Speaker 1: to high rates more frequently this year then basically stimmy 87 00:04:42,000 --> 00:04:45,240 Speaker 1: growth in the longer term and pause and not hike 88 00:04:45,360 --> 00:04:47,800 Speaker 1: more in the years after. Do you think that that 89 00:04:47,880 --> 00:04:52,120 Speaker 1: is an accurate assessment? Yeah, So the challenge here is 90 00:04:52,160 --> 00:04:54,520 Speaker 1: that the front end of the cove UT two year 91 00:04:54,600 --> 00:04:57,560 Speaker 1: rates and and even should in have been driven a 92 00:04:57,600 --> 00:05:01,279 Speaker 1: lot by fit expectations and fattic between just generally have 93 00:05:01,480 --> 00:05:04,240 Speaker 1: been and including today, driven a lot by what is 94 00:05:04,279 --> 00:05:06,560 Speaker 1: the macro data telling us for the US, and the 95 00:05:06,640 --> 00:05:09,640 Speaker 1: data today basically says, you know what, the Fed has 96 00:05:09,680 --> 00:05:13,760 Speaker 1: been right, The Fed has been on the right trajectory, 97 00:05:13,920 --> 00:05:17,320 Speaker 1: and it's actually probably likely that they will be raising 98 00:05:17,400 --> 00:05:19,440 Speaker 1: race that they have the way that they have promised us. 99 00:05:19,800 --> 00:05:22,279 Speaker 1: What's more complicated, and which is in a very important 100 00:05:22,320 --> 00:05:24,919 Speaker 1: part of of your point here, and that is to 101 00:05:25,000 --> 00:05:27,320 Speaker 1: think about what a long rate doing A long rate 102 00:05:27,400 --> 00:05:30,040 Speaker 1: in the US of course this week in particular, but 103 00:05:30,120 --> 00:05:33,680 Speaker 1: generally move around for global reasons and for reasons that 104 00:05:33,720 --> 00:05:36,600 Speaker 1: are unrelated to what's going on in the US economic data. 105 00:05:37,360 --> 00:05:40,400 Speaker 1: So the fact that the Yell curve has moved away 106 00:05:40,440 --> 00:05:42,680 Speaker 1: it has today, I think it just tells you that 107 00:05:42,920 --> 00:05:45,440 Speaker 1: for now, the market is back to believing, and you 108 00:05:45,480 --> 00:05:48,960 Speaker 1: could also see on your Bloomberg screen expectations to what 109 00:05:49,000 --> 00:05:51,640 Speaker 1: the FIT will do over the coming meetings, that the 110 00:05:51,680 --> 00:05:54,640 Speaker 1: market is back to believing, that the FIT is still 111 00:05:54,800 --> 00:05:57,360 Speaker 1: raising rates, and we are still on an upward trajectory, 112 00:05:57,720 --> 00:06:00,240 Speaker 1: and for now that continues to be a race strong 113 00:06:00,279 --> 00:06:03,520 Speaker 1: outlook for the US economy overall. That's simplicit in that Towardsten. 114 00:06:03,680 --> 00:06:05,800 Speaker 1: But I wonder if we could just switch topics for 115 00:06:05,839 --> 00:06:08,880 Speaker 1: a second and get your thoughts about Italy. We've got 116 00:06:08,920 --> 00:06:12,880 Speaker 1: the swearing in of the new government, President Sergio Mazzarella 117 00:06:13,080 --> 00:06:16,719 Speaker 1: at the Quernale Palace swearing in the new government today. 118 00:06:16,960 --> 00:06:19,160 Speaker 1: What are your thoughts about what that means for the 119 00:06:19,200 --> 00:06:23,320 Speaker 1: euro and the European Central Bank. So, of course, the 120 00:06:23,400 --> 00:06:26,000 Speaker 1: challenge for the ECB here is that they have been 121 00:06:26,400 --> 00:06:29,080 Speaker 1: for a long time now on track to say that 122 00:06:29,120 --> 00:06:32,520 Speaker 1: they would end quee later this year. You can discuss 123 00:06:32,560 --> 00:06:35,559 Speaker 1: if it's September or December, and then they would most 124 00:06:35,600 --> 00:06:38,359 Speaker 1: likely they have also been saying that several members of 125 00:06:38,400 --> 00:06:40,400 Speaker 1: the Governing Council have been saying at the ECB have 126 00:06:40,440 --> 00:06:43,360 Speaker 1: been saying that they would probably high rate sometime by 127 00:06:43,400 --> 00:06:46,320 Speaker 1: the second quarter of next year. The good news is 128 00:06:46,360 --> 00:06:49,760 Speaker 1: that we now have a government in Italy. This is 129 00:06:49,920 --> 00:06:52,920 Speaker 1: at least more clarity and much less turbulent than what 130 00:06:52,960 --> 00:06:54,640 Speaker 1: we had earlier this week, where we had a lot 131 00:06:54,640 --> 00:07:00,160 Speaker 1: more uncertainty. So in some sense that's probably a bit 132 00:07:00,200 --> 00:07:02,200 Speaker 1: of a sigh of relief at the ECB today that 133 00:07:02,240 --> 00:07:03,960 Speaker 1: then now we can go back both of the c 134 00:07:04,040 --> 00:07:06,400 Speaker 1: B and in markets and look at the economic data. 135 00:07:06,640 --> 00:07:08,920 Speaker 1: Inflation was a little bit better in Germany and the 136 00:07:08,960 --> 00:07:13,160 Speaker 1: your area this week, including also in Spain, and if 137 00:07:13,200 --> 00:07:17,160 Speaker 1: the fundamentals still justify it, which we absolutely believe, then 138 00:07:17,480 --> 00:07:19,560 Speaker 1: we do still think that the CB is on track 139 00:07:19,600 --> 00:07:23,360 Speaker 1: here to gradually exit with ending queue later this year 140 00:07:23,400 --> 00:07:26,120 Speaker 1: and raising rates sometime in the second quarter of next year. 141 00:07:26,120 --> 00:07:29,080 Speaker 1: But it is complicated situation, of course, where you have 142 00:07:29,440 --> 00:07:32,000 Speaker 1: on the one side all the economics, which in some 143 00:07:32,120 --> 00:07:34,680 Speaker 1: sense it's very simple because that's telling you should they 144 00:07:34,720 --> 00:07:37,280 Speaker 1: exit or should they not exit, and on the other 145 00:07:37,320 --> 00:07:41,320 Speaker 1: side of the table you basically have these political winds 146 00:07:41,320 --> 00:07:43,920 Speaker 1: and forces and the epp and tide of different things 147 00:07:43,960 --> 00:07:47,360 Speaker 1: that are happening. That makes a quantification of those risks 148 00:07:47,440 --> 00:07:50,040 Speaker 1: rather complicated. Thank you very much for being with us. 149 00:07:50,200 --> 00:07:55,000 Speaker 1: Touristen Slock is the chief International economist at Deutsche Bank, 150 00:07:55,120 --> 00:07:59,440 Speaker 1: talking about today's non farm payrolls report as well as 151 00:07:59,520 --> 00:08:19,280 Speaker 1: events in Europe. American workers are finally starting to see 152 00:08:19,480 --> 00:08:22,480 Speaker 1: their paychecks increase. According to the jobs numbers that we 153 00:08:22,520 --> 00:08:26,520 Speaker 1: got out earlier this morning, average hourly earnings increased by 154 00:08:26,560 --> 00:08:29,600 Speaker 1: two point seven percent from a year earlier. That is 155 00:08:29,640 --> 00:08:33,520 Speaker 1: more than projected. But are these wages increasing quickly enough? 156 00:08:33,520 --> 00:08:36,200 Speaker 1: And why have they been so slow to rise? To 157 00:08:36,200 --> 00:08:38,120 Speaker 1: answer some of these questions, I want to bring in 158 00:08:38,200 --> 00:08:40,679 Speaker 1: David While. He is dean of the Heller School for 159 00:08:40,880 --> 00:08:44,640 Speaker 1: Social Policy and Management at Brandeis University, also the former 160 00:08:44,679 --> 00:08:46,800 Speaker 1: head of the Wage in Our division of the US 161 00:08:46,920 --> 00:08:51,959 Speaker 1: Department of Labor back in two fourteen. Dean While, thank 162 00:08:52,000 --> 00:08:54,040 Speaker 1: you so much for joining us. So I want to 163 00:08:54,080 --> 00:08:56,600 Speaker 1: get your take first on the numbers that we got 164 00:08:56,640 --> 00:09:00,840 Speaker 1: out this morning. Uh from the Labor Department, pretty much 165 00:09:00,880 --> 00:09:05,120 Speaker 1: across the board solid read what's your take? Uh? Yeah, 166 00:09:05,160 --> 00:09:07,360 Speaker 1: I think that's right. I mean, it's certainly good news 167 00:09:07,400 --> 00:09:11,600 Speaker 1: when the economy adds that many jobs to the economy 168 00:09:11,800 --> 00:09:15,760 Speaker 1: and UH and when the unemployment rate falls so overall, 169 00:09:16,360 --> 00:09:19,240 Speaker 1: you know, we have the long recovery that certainly began 170 00:09:19,400 --> 00:09:24,160 Speaker 1: well into UH back in the Obama administration. UM. I 171 00:09:24,240 --> 00:09:28,960 Speaker 1: think the continuing concern is with unemployment rates as low 172 00:09:29,040 --> 00:09:32,240 Speaker 1: as they are, just the fact that wages still look 173 00:09:32,440 --> 00:09:36,360 Speaker 1: very slow in recovering, very different than what we've seen 174 00:09:36,360 --> 00:09:38,640 Speaker 1: in the past. I wonder if you could speak a 175 00:09:38,640 --> 00:09:42,480 Speaker 1: little bit about the labor force participation rate and when 176 00:09:42,520 --> 00:09:44,720 Speaker 1: maybe your students come to you and say, can you 177 00:09:44,800 --> 00:09:50,800 Speaker 1: explain why it remains low? Well, the labor force participation 178 00:09:50,920 --> 00:09:54,760 Speaker 1: rate really is about whether people's optimism about whether or 179 00:09:54,800 --> 00:09:56,720 Speaker 1: not they're going to be able to find the kind 180 00:09:56,760 --> 00:09:59,680 Speaker 1: of employment they're looking at in the labor market. And 181 00:09:59,720 --> 00:10:03,960 Speaker 1: it's measure of the difficulty and the continuing difficulty of 182 00:10:04,000 --> 00:10:06,920 Speaker 1: coaxing UM. You know, an important part of our labor 183 00:10:06,960 --> 00:10:10,160 Speaker 1: force back into the labor market. And I think one 184 00:10:10,200 --> 00:10:13,040 Speaker 1: of the reasons we again have seen what looks like 185 00:10:13,200 --> 00:10:19,480 Speaker 1: historically lower rates of labor force participation than in past recoveries, UM, 186 00:10:19,679 --> 00:10:21,920 Speaker 1: is the kinds of jobs that are out there, the 187 00:10:22,000 --> 00:10:26,160 Speaker 1: kinds of opportunities that people are seeking, um, just are 188 00:10:26,200 --> 00:10:29,800 Speaker 1: not as attractive as they once were. We've really restructured 189 00:10:29,960 --> 00:10:34,120 Speaker 1: our economy in ways that just are are less and 190 00:10:34,240 --> 00:10:38,200 Speaker 1: less favorable to working people. So, but that said, we 191 00:10:38,280 --> 00:10:41,480 Speaker 1: are seeing, uh, we are seeing what we just increase 192 00:10:41,520 --> 00:10:44,360 Speaker 1: at this point. So I'm wondering, you know, first of all, 193 00:10:44,480 --> 00:10:47,520 Speaker 1: is it enough because we have seen rents increase at 194 00:10:47,559 --> 00:10:51,600 Speaker 1: a much faster pace, for example, than wages, as well 195 00:10:51,640 --> 00:10:54,560 Speaker 1: as energy costs of late and other sort of fixed 196 00:10:54,600 --> 00:10:58,120 Speaker 1: costs in people's lives. Is a two point seven percent 197 00:10:58,480 --> 00:11:02,440 Speaker 1: increase enough in your view? Uh, well, it's not, and 198 00:11:02,480 --> 00:11:05,280 Speaker 1: it's not for both the short term reasons you site. 199 00:11:05,320 --> 00:11:09,360 Speaker 1: I mean, there's a lot of costs, particularly that lower 200 00:11:09,400 --> 00:11:13,400 Speaker 1: income households are vulnerable to, like the cost of gasoline 201 00:11:13,480 --> 00:11:17,920 Speaker 1: and housing, um. But there's even a more fundamental, longer 202 00:11:18,040 --> 00:11:21,439 Speaker 1: term reason why these levels of wage growth just aren't sufficient, 203 00:11:21,480 --> 00:11:25,880 Speaker 1: and that's that real wages for working people for decades 204 00:11:25,960 --> 00:11:30,400 Speaker 1: have stagnated and there's just an immense there's a wage 205 00:11:30,480 --> 00:11:33,520 Speaker 1: gap that we really need to recover. There's just a 206 00:11:33,679 --> 00:11:37,400 Speaker 1: big part of the growth of the economy that in 207 00:11:37,480 --> 00:11:42,199 Speaker 1: the past workers shared with people who you know, owned 208 00:11:42,800 --> 00:11:45,920 Speaker 1: own capital and and and who had labor they shared 209 00:11:46,000 --> 00:11:49,720 Speaker 1: those games. That hasn't happened. This is a really important 210 00:11:49,760 --> 00:11:52,520 Speaker 1: point why. I mean, this is not a past five 211 00:11:52,600 --> 00:11:54,760 Speaker 1: years issue of past ten years issue. This is a 212 00:11:54,840 --> 00:11:59,520 Speaker 1: decades long issue. Why that's that's exactly right it is. Uh, 213 00:11:59,679 --> 00:12:02,720 Speaker 1: it really goes back to the late nineteen seventies and 214 00:12:02,760 --> 00:12:07,200 Speaker 1: the eighties and and grew much more in the post 215 00:12:07,240 --> 00:12:10,439 Speaker 1: Great Recession period. And that the answer to your question 216 00:12:10,559 --> 00:12:14,360 Speaker 1: is employment now looks really different than it used to look. 217 00:12:14,920 --> 00:12:18,760 Speaker 1: Employers used to the major businesses that drive our economy 218 00:12:18,800 --> 00:12:23,640 Speaker 1: across the different sectors. Manufacturing service used to directly employ 219 00:12:23,800 --> 00:12:27,240 Speaker 1: millions and millions of workers. That is no longer the case. 220 00:12:27,520 --> 00:12:31,000 Speaker 1: That the whole structure of employment has shifted out, whether 221 00:12:31,040 --> 00:12:35,840 Speaker 1: it's through outsourcing or subcontracting or third party management. Uh. 222 00:12:35,880 --> 00:12:39,320 Speaker 1: And it used to just be about low wage workers. Now, 223 00:12:39,360 --> 00:12:42,040 Speaker 1: with what people like to call the gig economy that 224 00:12:42,200 --> 00:12:46,040 Speaker 1: goes way beyond just the digital platform world. Uh, there 225 00:12:46,080 --> 00:12:48,880 Speaker 1: are more and more jobs where the people who actually 226 00:12:48,920 --> 00:12:52,079 Speaker 1: employ you are no longer the main companies that really 227 00:12:52,160 --> 00:12:56,160 Speaker 1: still drive the economy. And that means the way wages 228 00:12:56,200 --> 00:12:59,920 Speaker 1: are set look really different. A lot of those gains 229 00:13:00,280 --> 00:13:04,440 Speaker 1: that go from increasing productivity and expansion of our economy 230 00:13:04,520 --> 00:13:07,320 Speaker 1: are no longer being shared because the people setting those 231 00:13:07,360 --> 00:13:11,839 Speaker 1: wages are are sometimes these lower level subcontractors or other 232 00:13:11,920 --> 00:13:15,800 Speaker 1: parties who simply cannot pass on the wage gains the 233 00:13:15,800 --> 00:13:18,320 Speaker 1: way they used to. But is it possible that they 234 00:13:18,360 --> 00:13:22,559 Speaker 1: can't pass along the increased cost because as you describe, 235 00:13:22,600 --> 00:13:24,720 Speaker 1: you have a new economy wh there's always someone else 236 00:13:24,760 --> 00:13:27,760 Speaker 1: breathing down your neck that doesn't have legacy costs or 237 00:13:27,880 --> 00:13:31,280 Speaker 1: legacy employees that they have to shoulder the burden for 238 00:13:32,000 --> 00:13:36,120 Speaker 1: absolutely right, and unfortunately many of the reasons why you 239 00:13:36,240 --> 00:13:40,040 Speaker 1: have leading companies in the retail sector and manufacturing and 240 00:13:40,320 --> 00:13:44,240 Speaker 1: hotel industry really across the board shifted out those jobs 241 00:13:44,240 --> 00:13:47,120 Speaker 1: as they wanted to get rid of those legacy costs. 242 00:13:47,120 --> 00:13:50,559 Speaker 1: They wanted to get rid of the costs of expensive 243 00:13:50,600 --> 00:13:54,000 Speaker 1: costs about employing people. Um that used to be part 244 00:13:54,040 --> 00:13:56,560 Speaker 1: of the social contract that we thought this was part 245 00:13:56,600 --> 00:13:59,640 Speaker 1: of employment. You kind of shared the burdens of whether 246 00:13:59,640 --> 00:14:03,680 Speaker 1: it was employment insurance or worker compensation or just meeting 247 00:14:03,720 --> 00:14:06,480 Speaker 1: basic wage and our requirements. That used to be my 248 00:14:06,679 --> 00:14:11,840 Speaker 1: job in the labor department. Um that has been we 249 00:14:12,040 --> 00:14:15,079 Speaker 1: our laws and the structuring of our economy have allowed 250 00:14:15,480 --> 00:14:19,040 Speaker 1: that burden to be shifted out two employers who, as 251 00:14:19,120 --> 00:14:22,880 Speaker 1: you correctly say, are in direct competition with a bunch 252 00:14:22,880 --> 00:14:25,640 Speaker 1: of other employers who are less able of doing that, 253 00:14:25,960 --> 00:14:29,760 Speaker 1: and uh, the party that bears the burden. The risks 254 00:14:29,800 --> 00:14:32,600 Speaker 1: that have been shifted more and more are on on 255 00:14:32,680 --> 00:14:36,000 Speaker 1: working people. Just quickly give you ten seconds. Is there 256 00:14:36,000 --> 00:14:37,720 Speaker 1: a role that the government will play or do you 257 00:14:37,760 --> 00:14:41,160 Speaker 1: believe that that's over as well? Well? I think uh, 258 00:14:41,440 --> 00:14:44,040 Speaker 1: you know, certainly in the next few years, I would 259 00:14:44,240 --> 00:14:46,520 Speaker 1: would doubt it, although we're seeing at the state level 260 00:14:47,800 --> 00:14:50,680 Speaker 1: government is jumping in with increases in minimum wage and 261 00:14:50,720 --> 00:14:53,760 Speaker 1: other kinds of ways of helping helping working people. In 262 00:14:53,800 --> 00:14:55,680 Speaker 1: the long term, I think government is going to have 263 00:14:55,800 --> 00:14:59,240 Speaker 1: to play a role. Uh. In really writing this, I 264 00:14:59,320 --> 00:15:01,000 Speaker 1: want to thank you for very much for spending time 265 00:15:01,040 --> 00:15:04,280 Speaker 1: with us. David Wild, dean of the Heller School for 266 00:15:04,360 --> 00:15:09,280 Speaker 1: a Social Policy and Management at Brandeis University, former head 267 00:15:09,360 --> 00:15:11,560 Speaker 1: of the Wage and Our Division of the U. S 268 00:15:11,640 --> 00:15:31,760 Speaker 1: Department of Labor. In March of our next guest UH 269 00:15:32,400 --> 00:15:36,400 Speaker 1: was before the US Senate Select Committee on Intelligence hearing 270 00:15:36,440 --> 00:15:41,880 Speaker 1: the topic disinformation, a primer in Russian active measures and 271 00:15:42,080 --> 00:15:46,000 Speaker 1: influence campaigns. Clint Wants is a Senior Fellow for the 272 00:15:46,040 --> 00:15:49,440 Speaker 1: Foreign Policy Research Institute. He's also Senior Fellow at the 273 00:15:49,440 --> 00:15:54,120 Speaker 1: Center for Cyber and Homeland Security at the George Washington University. 274 00:15:54,360 --> 00:15:58,160 Speaker 1: He can be followed on Twitter at Selected Wisdom, and 275 00:15:58,240 --> 00:16:00,080 Speaker 1: he is the author of a new book, and I 276 00:16:00,560 --> 00:16:04,280 Speaker 1: Messing with the Enemy, Surviving in a social media world 277 00:16:04,360 --> 00:16:09,320 Speaker 1: of hackers, terrorists, and Russians and fake news. Watts, thank 278 00:16:09,360 --> 00:16:11,960 Speaker 1: you very much, thanks for having Why did you write 279 00:16:11,960 --> 00:16:15,200 Speaker 1: this book? I actually had a proposal for the book 280 00:16:15,360 --> 00:16:18,320 Speaker 1: together before I testified, and no one wanted it. They 281 00:16:18,320 --> 00:16:21,400 Speaker 1: were not interested. And getting people interested in the Russian 282 00:16:21,440 --> 00:16:25,400 Speaker 1: descent fo in Sen was very difficult. Uh, the Islamic 283 00:16:25,440 --> 00:16:28,720 Speaker 1: State was the focus of everything. People weren't buying into 284 00:16:28,720 --> 00:16:31,360 Speaker 1: the Russian stuffor that it mattered, and that all changed 285 00:16:31,360 --> 00:16:34,000 Speaker 1: in about a year. And I wanted people to understand 286 00:16:34,000 --> 00:16:36,800 Speaker 1: that a lot of these phenomenons had played out repeatedly. 287 00:16:37,320 --> 00:16:39,200 Speaker 1: So the Arab spring, if you remember that was the 288 00:16:39,200 --> 00:16:42,640 Speaker 1: Facebook revolution, didn't really turn out that way. In the end, UH, 289 00:16:42,680 --> 00:16:45,720 Speaker 1: the Islamic State overtook al Qaeda on social media. If 290 00:16:45,720 --> 00:16:48,760 Speaker 1: you look at our own politics, social media populism, the 291 00:16:48,840 --> 00:16:51,880 Speaker 1: Trump wave overtook the GOP and now you look at 292 00:16:52,120 --> 00:16:55,080 Speaker 1: the resistance and sort of it's offspring, you know, with 293 00:16:55,120 --> 00:16:58,200 Speaker 1: the Democratic Party. So we're seeing the social media populism 294 00:16:58,280 --> 00:17:00,920 Speaker 1: pop up in different contexts around the world. You said 295 00:17:00,960 --> 00:17:04,159 Speaker 1: that the book introduces us to a frightening world in 296 00:17:04,200 --> 00:17:08,280 Speaker 1: which terrorists and cybercriminals don't hack your computer, they hack 297 00:17:08,359 --> 00:17:11,160 Speaker 1: your mind. What does that mean? I mean? And what's 298 00:17:11,200 --> 00:17:15,640 Speaker 1: the difference between hacking your mind and disinformation and just 299 00:17:15,920 --> 00:17:19,560 Speaker 1: a good campaign? Right, So that we used to always 300 00:17:19,560 --> 00:17:23,040 Speaker 1: worry about, for example, hackers hacking into the US power grid, uh, 301 00:17:23,080 --> 00:17:25,360 Speaker 1: you know, and turning it off or or breaking it down, 302 00:17:25,359 --> 00:17:27,919 Speaker 1: our foreign country doing it. The real art of it 303 00:17:27,960 --> 00:17:30,960 Speaker 1: now is you can convince an American potentially unwittingly to 304 00:17:31,000 --> 00:17:33,480 Speaker 1: turn the power grid off for you. That's the different 305 00:17:33,480 --> 00:17:36,600 Speaker 1: objective because it also gives you plausible deniability of actually 306 00:17:36,600 --> 00:17:39,680 Speaker 1: doing it. And you're using an unwitting ally, which is 307 00:17:39,720 --> 00:17:43,119 Speaker 1: a low cost and very effective way to achieve your objectives. 308 00:17:43,160 --> 00:17:45,800 Speaker 1: And that's really what the Russians figured out was they 309 00:17:45,800 --> 00:17:49,800 Speaker 1: combined some different techniques. If you remember anonymous and lull sect. 310 00:17:49,800 --> 00:17:52,679 Speaker 1: The original hackers, they were going around stealing people's information 311 00:17:52,720 --> 00:17:55,280 Speaker 1: and dumping it out onto the internet. The Russians understood 312 00:17:55,320 --> 00:17:58,000 Speaker 1: that too. They've they've been doing compromising information for a 313 00:17:58,000 --> 00:17:59,680 Speaker 1: long long time. So when they hit the d n C, 314 00:18:00,400 --> 00:18:03,080 Speaker 1: John Podesta, General Breed Love, they understood, I'm going to 315 00:18:03,200 --> 00:18:05,480 Speaker 1: do this out there, but rather than try and hack 316 00:18:05,600 --> 00:18:07,359 Speaker 1: just for the information, I'm going to use it to 317 00:18:07,480 --> 00:18:10,720 Speaker 1: drive influence. And it's a much more powerful technique because 318 00:18:10,720 --> 00:18:13,320 Speaker 1: you're changing the way the audience that you're targeting is 319 00:18:13,359 --> 00:18:16,520 Speaker 1: perceiving not only information, but their own politics, or own country, 320 00:18:16,600 --> 00:18:19,919 Speaker 1: their own institutions. I want to mention that you're a 321 00:18:19,960 --> 00:18:23,800 Speaker 1: graduate of West Point, US Military Academy. You served in 322 00:18:23,840 --> 00:18:27,359 Speaker 1: the infantry. Thank you very much for your your service. UH. 323 00:18:27,680 --> 00:18:30,720 Speaker 1: You also worked as a special agent for the Federal 324 00:18:30,760 --> 00:18:35,760 Speaker 1: Bureau of Investigation and served on the Joint Terrorism Task Force. 325 00:18:36,560 --> 00:18:41,240 Speaker 1: Do we face terrorism or do we face criminals? You 326 00:18:41,320 --> 00:18:43,960 Speaker 1: face both, and it really comes down to you know 327 00:18:44,000 --> 00:18:46,760 Speaker 1: what their objectives are in the objective is either money 328 00:18:46,880 --> 00:18:50,160 Speaker 1: or is it ideology? You know, changing governments, taking down 329 00:18:50,760 --> 00:18:54,320 Speaker 1: uh the United States. We face both and what's interesting 330 00:18:54,400 --> 00:18:58,080 Speaker 1: is that they learned from each other. So criminals activists 331 00:18:58,320 --> 00:19:00,560 Speaker 1: they both learned from each other in terms the tools. 332 00:19:00,800 --> 00:19:02,960 Speaker 1: You know, when we look at criminal hackers, they came 333 00:19:03,000 --> 00:19:05,879 Speaker 1: after if you remember the old activists, the hackers, you know, 334 00:19:05,920 --> 00:19:08,399 Speaker 1: the people that did it for fun and for just learning. 335 00:19:08,560 --> 00:19:10,560 Speaker 1: Criminals recognized that and said, well, you know what else 336 00:19:10,560 --> 00:19:12,520 Speaker 1: we could use this for. We see the same thing 337 00:19:12,560 --> 00:19:15,360 Speaker 1: going on now, by the way, with disinformation. The Russians 338 00:19:15,400 --> 00:19:18,800 Speaker 1: are brilliant at the art of disinformation, but now everybody 339 00:19:18,920 --> 00:19:21,400 Speaker 1: is copying their playbooks. So I've been talking a lot 340 00:19:21,440 --> 00:19:24,680 Speaker 1: about the elections. I'm not so worried about the Russians 341 00:19:24,720 --> 00:19:27,080 Speaker 1: as I am. Everybody else's copying it. And so what 342 00:19:27,160 --> 00:19:30,000 Speaker 1: you're seeing is those who can amass data from lots 343 00:19:30,000 --> 00:19:33,680 Speaker 1: of social media companies you're purchasing preferences, and use advanced 344 00:19:33,680 --> 00:19:37,399 Speaker 1: technology like machine learning. They have cutting edge ability to 345 00:19:37,480 --> 00:19:40,360 Speaker 1: do influence campaigns on steroids and do them much quicker. 346 00:19:40,800 --> 00:19:44,600 Speaker 1: So those that are you know, political public relations companies, 347 00:19:44,600 --> 00:19:47,280 Speaker 1: are political campaigns, they really will have more capability on 348 00:19:47,320 --> 00:19:49,719 Speaker 1: the horizon than any of these nation states we've been 349 00:19:49,720 --> 00:19:52,520 Speaker 1: worrying about so far. Yeah, and when you add artificial 350 00:19:52,560 --> 00:19:55,320 Speaker 1: intelligence into it, you can start to imagine that this 351 00:19:55,440 --> 00:19:59,520 Speaker 1: disinformation becomes incredibly effective. I'm just wondering, you know, what 352 00:19:59,760 --> 00:20:02,560 Speaker 1: is sort of the counterbalance to this, How how is 353 00:20:02,600 --> 00:20:05,920 Speaker 1: there anything that could kind of, I don't know, get 354 00:20:05,960 --> 00:20:07,840 Speaker 1: in the middle of this, because basically this is just 355 00:20:07,880 --> 00:20:11,679 Speaker 1: the old propaganda campaigns on steroids, right, it is just 356 00:20:11,720 --> 00:20:14,480 Speaker 1: taking it to cyberspace, where you have it's much more 357 00:20:14,680 --> 00:20:18,120 Speaker 1: cost effective and much more effective in terms of moving populations. 358 00:20:18,119 --> 00:20:21,359 Speaker 1: I think we've seen that ultimately. I think, you know, 359 00:20:21,400 --> 00:20:23,239 Speaker 1: sort of a big part of the book is what 360 00:20:23,320 --> 00:20:25,320 Speaker 1: happens to us over time when we're in this and 361 00:20:25,359 --> 00:20:27,879 Speaker 1: you start to see what I call preference bubbles, and 362 00:20:27,920 --> 00:20:31,919 Speaker 1: so you see social media nations emerge that overtake physical nations. 363 00:20:31,920 --> 00:20:34,359 Speaker 1: And by that, I mean if you're spending three to 364 00:20:34,400 --> 00:20:36,160 Speaker 1: five hours a day on your cell phone, you were 365 00:20:36,400 --> 00:20:39,439 Speaker 1: with virtual connections more than physical connections, and you're starting 366 00:20:39,480 --> 00:20:43,640 Speaker 1: to build relationships online that overtake your neighbors. And so 367 00:20:43,720 --> 00:20:48,080 Speaker 1: that is truly devastating for real companies and countries, uh 368 00:20:48,160 --> 00:20:51,480 Speaker 1: in terms of how they do their business. Who governs cyberspace? 369 00:20:51,520 --> 00:20:53,960 Speaker 1: I think we saw with social media companies there are 370 00:20:54,000 --> 00:20:56,320 Speaker 1: only they're the only ones that really understand how their 371 00:20:56,359 --> 00:21:00,560 Speaker 1: systems work. Governments are struggling to regulate them or understand 372 00:21:00,560 --> 00:21:02,480 Speaker 1: the dangers that are there. And I think for the 373 00:21:02,480 --> 00:21:05,639 Speaker 1: private sectors, a big issue with banks and law firms. 374 00:21:05,680 --> 00:21:08,600 Speaker 1: If you want to do a compromising campaign where our 375 00:21:08,600 --> 00:21:11,000 Speaker 1: secrets held and seek secrets are held at banks and 376 00:21:11,080 --> 00:21:14,720 Speaker 1: law firms, that's where the information warfare battlefield really takes place. 377 00:21:15,520 --> 00:21:19,320 Speaker 1: So the implications are devastating and will ultimately come down 378 00:21:19,320 --> 00:21:22,119 Speaker 1: to civil society to solve this. And we have to 379 00:21:22,119 --> 00:21:24,600 Speaker 1: get a you know, we have to restore a basis 380 00:21:24,640 --> 00:21:27,280 Speaker 1: of fact and fiction. You can't have policy debate if 381 00:21:27,320 --> 00:21:28,919 Speaker 1: you have your facts and I have my facts, and 382 00:21:28,920 --> 00:21:30,880 Speaker 1: we're debating about whose facts are right. You can't even 383 00:21:30,880 --> 00:21:33,760 Speaker 1: debate the policy because we don't even agree on where 384 00:21:33,760 --> 00:21:36,639 Speaker 1: the playing field is. And we're seeing that today. The 385 00:21:36,640 --> 00:21:39,200 Speaker 1: other thing is we're seeing these bubbles start to emerge 386 00:21:39,440 --> 00:21:42,800 Speaker 1: in the information space where I like you, you like me. 387 00:21:42,960 --> 00:21:45,800 Speaker 1: We build our own nation, we build our own history, 388 00:21:46,080 --> 00:21:49,640 Speaker 1: we start our own institutions which reinforce our preferred facts 389 00:21:49,680 --> 00:21:52,760 Speaker 1: and our preferred science, and we don't come together and 390 00:21:52,800 --> 00:21:55,959 Speaker 1: we don't discuss, so we'll have implications for science. They 391 00:21:55,960 --> 00:21:59,239 Speaker 1: will have amplifications for government. And really it's about do 392 00:21:59,320 --> 00:22:02,439 Speaker 1: you want to your relationships in the virtual world to 393 00:22:02,520 --> 00:22:05,120 Speaker 1: be about people who look like you and talk like you, 394 00:22:05,240 --> 00:22:07,280 Speaker 1: or do you want it to be about your fellow Americans. 395 00:22:07,600 --> 00:22:09,919 Speaker 1: And that's really the challenge moving forward. We have to 396 00:22:09,960 --> 00:22:12,159 Speaker 1: restore what we believe in as a country and and 397 00:22:12,200 --> 00:22:15,480 Speaker 1: really what we want to push around the world and 398 00:22:15,880 --> 00:22:20,800 Speaker 1: about the Is there any nation or group of people 399 00:22:21,440 --> 00:22:24,399 Speaker 1: that are doing this better than we are here in 400 00:22:24,440 --> 00:22:28,000 Speaker 1: the United States in terms of meeting these challenges. Yes, 401 00:22:28,160 --> 00:22:32,920 Speaker 1: I think European countries they are actually smaller, they move quicker, uh, 402 00:22:32,960 --> 00:22:36,000 Speaker 1: they understand how to talk to their nations and what 403 00:22:36,040 --> 00:22:38,960 Speaker 1: their value stand for. Sweden is a good example. They've 404 00:22:38,960 --> 00:22:41,000 Speaker 1: been much more resilient to this. A lot of the 405 00:22:41,040 --> 00:22:44,560 Speaker 1: Scandinavian countries in the Baltics, they've been dealing with disinformation 406 00:22:44,600 --> 00:22:46,720 Speaker 1: for a long time, so they're just better equipped to 407 00:22:46,760 --> 00:22:48,879 Speaker 1: deal with this over the over the near term at 408 00:22:48,960 --> 00:22:52,200 Speaker 1: least and maybe breaking some of the uh. I don't know, 409 00:22:52,680 --> 00:22:55,879 Speaker 1: smartphone addiction. I'm serious, it's just if you think about it, 410 00:22:55,880 --> 00:22:58,600 Speaker 1: if people spend five to six hours online. I actually 411 00:22:58,640 --> 00:23:02,920 Speaker 1: saw a survey today of him that showed that teenagers 412 00:23:02,920 --> 00:23:06,880 Speaker 1: that almost half say that they're nearly always online when 413 00:23:06,920 --> 00:23:09,479 Speaker 1: they are awake. Clint Watts, I could speak with you 414 00:23:09,640 --> 00:23:11,600 Speaker 1: for the next hour. Thank you so much for being 415 00:23:11,600 --> 00:23:15,240 Speaker 1: with us. Truly a fascinating topic and I look forward 416 00:23:15,280 --> 00:23:17,520 Speaker 1: to reading your book. Clint Watts, Senior Fellow at the 417 00:23:17,520 --> 00:23:20,520 Speaker 1: Foreign Policy Research Institute. He's also a Senior Fellow at 418 00:23:20,560 --> 00:23:23,000 Speaker 1: the Center for Cyber and Homeland Security at the George 419 00:23:23,000 --> 00:23:27,480 Speaker 1: Washington University. Author of new book, Messing with the Enemy, 420 00:23:27,600 --> 00:23:31,560 Speaker 1: Surviving in a social media world of hackers, terrorists, Russians, 421 00:23:31,720 --> 00:23:50,120 Speaker 1: and fake news. Steel and aluminum tariffs what do they 422 00:23:50,160 --> 00:23:53,480 Speaker 1: mean for producers in the United States? Well? Debbie sean 423 00:23:53,680 --> 00:23:56,840 Speaker 1: is a partner a trade lawyer at Quinn Emmanuel based 424 00:23:56,880 --> 00:24:01,000 Speaker 1: in Washington, d C. Previously, MS sean On was the 425 00:24:01,160 --> 00:24:04,240 Speaker 1: Vice president of International Trade in Public Policy at U S. 426 00:24:04,240 --> 00:24:08,399 Speaker 1: Steal and a trade official in the Clinton administration. WI Sean, 427 00:24:08,480 --> 00:24:11,440 Speaker 1: thank you very much for being with us. Uh, do 428 00:24:12,000 --> 00:24:16,679 Speaker 1: these trade is sanctions, these tariffs on on aluminum and steal, 429 00:24:17,040 --> 00:24:22,840 Speaker 1: did they actually help anyone? Well, thank you very much. UM. Well, 430 00:24:23,040 --> 00:24:26,240 Speaker 1: we know this. UM. It's not a zero sum game. 431 00:24:26,320 --> 00:24:29,720 Speaker 1: It's much too complex In the global trade community to 432 00:24:29,840 --> 00:24:33,159 Speaker 1: distill it into a winter losers situation. But we do 433 00:24:33,200 --> 00:24:35,960 Speaker 1: know in the short run there are two games, and 434 00:24:36,000 --> 00:24:38,960 Speaker 1: that's the political gain for an administration who's delivered on 435 00:24:39,160 --> 00:24:42,800 Speaker 1: a political campaign promise which almost two years to the date, 436 00:24:43,080 --> 00:24:47,760 Speaker 1: UM he enunciated in a rally ticking off all the 437 00:24:47,800 --> 00:24:50,800 Speaker 1: trade tools he was going to use commercially. As you 438 00:24:50,840 --> 00:24:55,240 Speaker 1: wanted to address him. Is that for the protected industry, 439 00:24:55,280 --> 00:24:59,440 Speaker 1: so will be an uptick on sales prices will increase UH, 440 00:24:59,480 --> 00:25:03,159 Speaker 1: and their stock values will likely go up as well. UM. 441 00:25:03,280 --> 00:25:08,359 Speaker 1: The consumer UH and also the downstream UM suppliers and 442 00:25:10,400 --> 00:25:14,040 Speaker 1: consumers that actually purchase steel in a luminium will see 443 00:25:14,160 --> 00:25:18,320 Speaker 1: higher prices. So that will affect the construction industry, transportation industry, 444 00:25:18,400 --> 00:25:24,960 Speaker 1: equipment industry. So the downside is UM, it will be UH. 445 00:25:25,000 --> 00:25:29,080 Speaker 1: Well will also surface UM in the short term. Well, Debbie, 446 00:25:29,200 --> 00:25:31,280 Speaker 1: you know, I guess that I'm wondering what's the right 447 00:25:31,359 --> 00:25:35,240 Speaker 1: question to ask in order to understand and observe the 448 00:25:35,320 --> 00:25:38,760 Speaker 1: consequences of these tariffs. So a lot of people are 449 00:25:38,800 --> 00:25:42,280 Speaker 1: pointing to the decline in economic output UH and that 450 00:25:42,359 --> 00:25:45,439 Speaker 1: it's diminimus in the long run. Other people point to 451 00:25:46,119 --> 00:25:49,640 Speaker 1: UH sort of higher steel lumber prices and other commodities 452 00:25:50,000 --> 00:25:53,639 Speaker 1: um and and sort of bleeding into higher higher consumer prices. 453 00:25:53,720 --> 00:25:56,720 Speaker 1: What what metric are you looking at determine how big 454 00:25:56,720 --> 00:26:00,440 Speaker 1: of effect this has? Well, we obviously all of your 455 00:26:00,480 --> 00:26:03,440 Speaker 1: show um and those economists around the globe, but that 456 00:26:03,800 --> 00:26:08,800 Speaker 1: try to um calculate um numerically what the impact will 457 00:26:08,840 --> 00:26:12,399 Speaker 1: be on different economies. As a lawyer, I look at 458 00:26:12,600 --> 00:26:16,919 Speaker 1: how it impacts clients as well as the market UM. 459 00:26:17,040 --> 00:26:19,359 Speaker 1: So the short term as I sort of enunciate it, 460 00:26:19,359 --> 00:26:21,639 Speaker 1: which is the commercial and the political gain, but the 461 00:26:21,720 --> 00:26:24,960 Speaker 1: damage is also incalculable on the long term. The long 462 00:26:25,080 --> 00:26:27,520 Speaker 1: term damage that is our standing in the world, which 463 00:26:27,520 --> 00:26:30,080 Speaker 1: are manifest in the view of our allies as being 464 00:26:30,520 --> 00:26:35,040 Speaker 1: untrustworthy perhaps and also places at risk UM our own 465 00:26:35,280 --> 00:26:38,840 Speaker 1: standing as the world's largest and most open economy. But 466 00:26:39,080 --> 00:26:45,960 Speaker 1: by erecting barriers, you diminish that the the trade um 467 00:26:46,440 --> 00:26:50,040 Speaker 1: the trade with other nations and uh and and consequently 468 00:26:50,080 --> 00:26:54,239 Speaker 1: handcuffed your own economy. UM. So we're looking at it 469 00:26:54,320 --> 00:26:57,800 Speaker 1: on not only a commercial legal but also the to 470 00:26:57,840 --> 00:27:00,919 Speaker 1: the geo political as well. But it is consistent with 471 00:27:00,960 --> 00:27:03,879 Speaker 1: this president's view of the world. I mean I'll share it. 472 00:27:03,960 --> 00:27:07,640 Speaker 1: But he's been very consistent since day one. And what's 473 00:27:07,680 --> 00:27:12,639 Speaker 1: interesting is the outliers China, and instead we are focusing 474 00:27:12,800 --> 00:27:16,760 Speaker 1: our our tariffs on our allies. So it appears at 475 00:27:16,840 --> 00:27:20,720 Speaker 1: least the optics that we're coddling our adversaries will harming 476 00:27:20,720 --> 00:27:23,920 Speaker 1: our allies. But which all the one second, I'm sorry 477 00:27:23,960 --> 00:27:26,159 Speaker 1: to break in here, but you know, the geopolitical side 478 00:27:26,240 --> 00:27:28,479 Speaker 1: is an important one. But I want to talk about 479 00:27:28,720 --> 00:27:30,240 Speaker 1: what you mentioned. I want to pick up on a 480 00:27:30,280 --> 00:27:32,199 Speaker 1: point that you said, which is when you talk to 481 00:27:32,240 --> 00:27:34,200 Speaker 1: your clients about this, and you work with some of 482 00:27:34,240 --> 00:27:36,920 Speaker 1: the biggest companies in the US, what are they saying 483 00:27:36,960 --> 00:27:41,359 Speaker 1: about this. Well, those who are in the protected industries 484 00:27:41,600 --> 00:27:48,160 Speaker 1: are have actually have actually advocated for these different political 485 00:27:48,200 --> 00:27:51,600 Speaker 1: tools to be used in order to advance and what 486 00:27:51,600 --> 00:27:55,560 Speaker 1: we what has been always stated as leveling the playing field. 487 00:27:56,000 --> 00:28:00,280 Speaker 1: Much of this happens um as a result of a 488 00:28:00,400 --> 00:28:05,080 Speaker 1: view of the of the United States and being put 489 00:28:05,200 --> 00:28:07,800 Speaker 1: upon right this is this is the view that is 490 00:28:08,040 --> 00:28:11,920 Speaker 1: articulated the narrative of grievances of how we've been taken 491 00:28:11,960 --> 00:28:16,480 Speaker 1: advantage of. Except this, what what's happening is is the 492 00:28:16,480 --> 00:28:20,440 Speaker 1: administration is actually treating a symptom, not the disease. So 493 00:28:20,760 --> 00:28:23,720 Speaker 1: if if the structure, if the In fact, I think 494 00:28:23,800 --> 00:28:27,159 Speaker 1: yesterday the director of the World Trade Organization articulated this, 495 00:28:27,520 --> 00:28:29,960 Speaker 1: it's time for these constructs to actually come into the 496 00:28:29,960 --> 00:28:32,600 Speaker 1: twenty first century and deal with a lot of the 497 00:28:32,640 --> 00:28:36,560 Speaker 1: issues that have hamstrung the domestic industries in the United 498 00:28:36,640 --> 00:28:40,320 Speaker 1: States from getting their fair share or getting their day 499 00:28:40,360 --> 00:28:43,400 Speaker 1: in court. So, whether it's the trade laws that haven't 500 00:28:43,480 --> 00:28:46,080 Speaker 1: kept up and have been written since nineteen seventy nine, 501 00:28:46,200 --> 00:28:50,360 Speaker 1: I think it's time for a modernization and and bringing 502 00:28:50,360 --> 00:28:53,640 Speaker 1: these these tools into the twenty first century because many 503 00:28:53,680 --> 00:28:55,960 Speaker 1: of the tactics that are being used were never thought 504 00:28:56,040 --> 00:28:59,880 Speaker 1: of or never even envisioned when these laws were created. 505 00:29:01,000 --> 00:29:03,200 Speaker 1: By Sean, thank you so much for being with us 506 00:29:03,200 --> 00:29:05,640 Speaker 1: t B. Sean is partner and trade lawyer at Quinn 507 00:29:05,680 --> 00:29:09,600 Speaker 1: Emmanuel Law Firm in Washington, d C. She also was 508 00:29:09,640 --> 00:29:12,760 Speaker 1: formerly the vice president of International Trade and Public Policy 509 00:29:12,840 --> 00:29:15,960 Speaker 1: at US Steel and It's a trade official in the 510 00:29:16,000 --> 00:29:22,520 Speaker 1: Clinton administration. Thanks for listening to the Bloomberg p m 511 00:29:22,600 --> 00:29:25,640 Speaker 1: L podcast. You can subscribe and listen to interviews at 512 00:29:25,680 --> 00:29:30,120 Speaker 1: Apple Podcasts, SoundCloud, or whatever podcast platform you prefer. I'm 513 00:29:30,160 --> 00:29:33,600 Speaker 1: pim Fox. I'm on Twitter at pim Fox. I'm on 514 00:29:33,640 --> 00:29:37,080 Speaker 1: Twitter at Lisa Abramowits one before the podcast. You can 515 00:29:37,080 --> 00:29:39,480 Speaker 1: always catch us worldwide on Bloomberg Radio