1 00:00:02,240 --> 00:00:06,480 Speaker 1: Live from our nation's capital. This is Bloomberg Sound on 2 00:00:07,080 --> 00:00:09,480 Speaker 1: the parties are divided in terms of the effect that 3 00:00:09,520 --> 00:00:12,399 Speaker 1: the stimulus is going to have. This inflation debate has 4 00:00:12,480 --> 00:00:15,320 Speaker 1: really been heating up the effect of what the Biden 5 00:00:15,320 --> 00:00:20,799 Speaker 1: administration is spending on political capital. Bloomberg Sound on the insiders, 6 00:00:20,920 --> 00:00:24,520 Speaker 1: the influencers, the insides, A group of centrists are the 7 00:00:24,640 --> 00:00:28,120 Speaker 1: key senators to watch Joe Biden get. Number one focus 8 00:00:28,160 --> 00:00:31,600 Speaker 1: in addition to the COVID health crisis is jobs. I 9 00:00:31,640 --> 00:00:34,199 Speaker 1: don't think we have red roads and blue roads, and 10 00:00:34,240 --> 00:00:37,000 Speaker 1: that's the way we're looking at this. Shoomberg Sound On 11 00:00:37,360 --> 00:00:41,320 Speaker 1: with Devin Surreally on Bloomberg Radio. We head to the 12 00:00:41,320 --> 00:00:44,800 Speaker 1: White House to speak with Heather Bouch, a member of 13 00:00:44,800 --> 00:00:50,680 Speaker 1: President Joe Biden's Council of Economic Advisors, Infrastructure, the Economy, 14 00:00:50,800 --> 00:00:54,080 Speaker 1: and Equal pay Day, plus Congressman Andy Levin All Star 15 00:00:54,680 --> 00:00:58,720 Speaker 1: jam Packed Our What a busy week in Washington. Tomorrow 16 00:00:58,800 --> 00:01:03,280 Speaker 1: Jam Packed Day. Big Tech returns, albeit somewhat virtually, to 17 00:01:03,320 --> 00:01:05,800 Speaker 1: Capitol Hill, the Big Tech c e O s. We're 18 00:01:05,800 --> 00:01:10,160 Speaker 1: gonna have complete coverage of that and President Biden's press 19 00:01:10,160 --> 00:01:13,760 Speaker 1: conference also set for tomorrow. He's going to face a 20 00:01:13,760 --> 00:01:16,039 Speaker 1: lot of questions on the economy as well as China. 21 00:01:16,440 --> 00:01:18,880 Speaker 1: So a busy day as we head into the second 22 00:01:18,920 --> 00:01:21,759 Speaker 1: half of this week. But let's talk about the news today. 23 00:01:22,000 --> 00:01:26,560 Speaker 1: Federal Reserve Chairman Jerome Powell and Treasury Secretary Janet Yellen 24 00:01:26,640 --> 00:01:30,280 Speaker 1: testified on Capitol Hill for a second day before the 25 00:01:30,319 --> 00:01:32,760 Speaker 1: Senate Banking Committee. To take a listen to the sound 26 00:01:32,800 --> 00:01:36,959 Speaker 1: on this from Secretary Yelling, who said that banks should 27 00:01:37,120 --> 00:01:40,920 Speaker 1: have some ability to buy back shares now. I was 28 00:01:40,959 --> 00:01:45,479 Speaker 1: struck by this here she is, the financial institutions look 29 00:01:45,520 --> 00:01:49,920 Speaker 1: healthier now, and I believe they should have some ability 30 00:01:50,040 --> 00:01:55,000 Speaker 1: to um, you know, Biden, by the rules to return 31 00:01:55,440 --> 00:01:58,240 Speaker 1: make returns to shareholders. The part of that that I 32 00:01:58,280 --> 00:02:00,920 Speaker 1: was struck by that the financial institute as the banks 33 00:02:00,960 --> 00:02:05,000 Speaker 1: are looking healthy, they're looking healthy as we continue to 34 00:02:05,080 --> 00:02:10,080 Speaker 1: climb on out of this pandemic era and the pandemic economy. 35 00:02:10,160 --> 00:02:12,680 Speaker 1: Joining us on the telephone line alive from the White 36 00:02:12,680 --> 00:02:15,600 Speaker 1: House Heather Biuche. She is a member of President Joe 37 00:02:15,600 --> 00:02:19,160 Speaker 1: Biden's Council of Economic Advisors. I want to talk to 38 00:02:19,160 --> 00:02:21,880 Speaker 1: you about equal paying, but first just some broader analysis, Heather, 39 00:02:22,160 --> 00:02:26,480 Speaker 1: from your perspective about the economy and the pace of 40 00:02:26,520 --> 00:02:30,560 Speaker 1: the recovery and where things stand. Obviously in my neck 41 00:02:30,560 --> 00:02:32,600 Speaker 1: of the woods, we're all focused on Powell and and 42 00:02:32,720 --> 00:02:37,720 Speaker 1: yelling testimony before the Hill. Well, these are great questions, 43 00:02:37,760 --> 00:02:41,320 Speaker 1: you know. Um. The fact is is that because the 44 00:02:41,360 --> 00:02:44,359 Speaker 1: American Rescue Plan is out there putting money in people's 45 00:02:44,400 --> 00:02:50,480 Speaker 1: pockets and really importantly providing businesses and families and state 46 00:02:50,520 --> 00:02:53,359 Speaker 1: and local governments with the resources they need to contain 47 00:02:53,440 --> 00:02:57,520 Speaker 1: the pandemic, this makes me optimistic that, you know, to 48 00:02:57,560 --> 00:02:59,480 Speaker 1: the extent that we can contain this pandemic, we can 49 00:02:59,480 --> 00:03:01,520 Speaker 1: get the on me back on track and get people 50 00:03:01,520 --> 00:03:04,720 Speaker 1: back to work, and get schools reopened so that parents 51 00:03:04,800 --> 00:03:07,560 Speaker 1: can get to work, and child care centers reopened. Um, 52 00:03:07,639 --> 00:03:09,920 Speaker 1: you know, and just make sure that we're bringing this 53 00:03:09,960 --> 00:03:13,160 Speaker 1: economy back. So um, I mean, that's where I think 54 00:03:13,160 --> 00:03:15,799 Speaker 1: we we are right now. You know, I was struck 55 00:03:15,800 --> 00:03:18,360 Speaker 1: by this, and obviously today is equal pay Day, but 56 00:03:18,680 --> 00:03:20,960 Speaker 1: I was struck by this just in having covered UH 57 00:03:21,080 --> 00:03:25,040 Speaker 1: Secretary Yellen prior to her becoming Treasury Treasury Secretary from 58 00:03:25,080 --> 00:03:27,639 Speaker 1: her time at the Central Bank, and then of course 59 00:03:27,919 --> 00:03:31,400 Speaker 1: to hear fed Sherman Powell's testimony this week as well, 60 00:03:31,639 --> 00:03:36,040 Speaker 1: when they're talking about inflation, they're noting the inequality gap, 61 00:03:36,120 --> 00:03:42,480 Speaker 1: they're noting the unemployment difference, differences between minority communities, especially 62 00:03:42,520 --> 00:03:45,920 Speaker 1: Amongst African Americans, and the toll that the pandemic has 63 00:03:45,960 --> 00:03:50,600 Speaker 1: taken on women in the workforce as well. Obviously, for 64 00:03:51,000 --> 00:03:53,360 Speaker 1: FED Sherman Powell to be addressing this as well as 65 00:03:53,400 --> 00:03:57,400 Speaker 1: Secretary Yellen, that is a significant change, not just just 66 00:03:57,480 --> 00:04:00,720 Speaker 1: in terms of the past decade in terms of policy, 67 00:04:01,000 --> 00:04:03,120 Speaker 1: but from your perspective, what is your team doing to 68 00:04:03,160 --> 00:04:05,680 Speaker 1: address some of those inequities that we've seen in the 69 00:04:05,720 --> 00:04:11,480 Speaker 1: pandemic recovery. Well, we're thinking about them every day, um. 70 00:04:11,520 --> 00:04:13,280 Speaker 1: And I think that it's you know, it's important to 71 00:04:13,320 --> 00:04:16,760 Speaker 1: acknowledge that, you know, we've seen forty years and now, 72 00:04:16,839 --> 00:04:20,599 Speaker 1: you know, decades of this rising economic inequality, and we're 73 00:04:20,640 --> 00:04:23,279 Speaker 1: starting as economists to really grapple with what that means. 74 00:04:23,279 --> 00:04:26,080 Speaker 1: And I think that's what you hear in, um, you know, 75 00:04:26,160 --> 00:04:29,920 Speaker 1: Chairman Powell's comments and m Secretary Yellin's comments about how 76 00:04:29,960 --> 00:04:32,800 Speaker 1: the economy is fearing and what we need to watch right. 77 00:04:32,880 --> 00:04:34,920 Speaker 1: It used to be the case that when you saw, 78 00:04:35,080 --> 00:04:37,760 Speaker 1: you know, GDP go up, you could know, oh, well, 79 00:04:37,839 --> 00:04:40,960 Speaker 1: everybody across America was probably experiencing, you know, income games 80 00:04:41,040 --> 00:04:44,120 Speaker 1: about the same. But we've known in recent decades that 81 00:04:44,640 --> 00:04:48,000 Speaker 1: you know, aggriate growth has become really disconnected from the 82 00:04:48,080 --> 00:04:51,159 Speaker 1: average person's experience, and so you have to think about 83 00:04:51,760 --> 00:04:54,800 Speaker 1: what does that mean for our measures of success? And 84 00:04:55,320 --> 00:04:56,760 Speaker 1: you know, we need to make sure that we are 85 00:04:56,800 --> 00:04:59,200 Speaker 1: bringing everybody along. So we need to take a closer 86 00:04:59,200 --> 00:05:01,359 Speaker 1: look at what's happened with the black unemployment rate. We 87 00:05:01,400 --> 00:05:03,960 Speaker 1: need to make sure, especially here on Equal pay Day, 88 00:05:04,040 --> 00:05:06,640 Speaker 1: that we're taking a look at what that gender wage 89 00:05:06,640 --> 00:05:10,840 Speaker 1: cap is and who's benefiting and who isn't. Because the 90 00:05:11,120 --> 00:05:14,280 Speaker 1: ultimate measure of success of the economy is how well 91 00:05:14,320 --> 00:05:18,440 Speaker 1: it's working for people all across these United States. It's 92 00:05:18,480 --> 00:05:22,240 Speaker 1: not just these aggregate abstract figures. It's really you know, 93 00:05:22,400 --> 00:05:26,880 Speaker 1: is it creating that strong, stable, broad based middle class, um, 94 00:05:26,920 --> 00:05:30,159 Speaker 1: is it creating those good jobs? And so it um 95 00:05:30,240 --> 00:05:32,000 Speaker 1: you know, these are the metrics that we are looking 96 00:05:32,040 --> 00:05:34,800 Speaker 1: at every day, um here in the Biden administration. So 97 00:05:34,839 --> 00:05:37,320 Speaker 1: the Biden administration, as you know, as you're part of, 98 00:05:37,560 --> 00:05:40,919 Speaker 1: has signaled plans to strengthen gender equity at a time 99 00:05:40,920 --> 00:05:43,880 Speaker 1: and when which women in the U s are disproportionately 100 00:05:43,960 --> 00:05:47,720 Speaker 1: exiting the workforce compared with men during the COVID nineteen pandemic, 101 00:05:47,920 --> 00:05:51,000 Speaker 1: and they're paid Get this, folks, eighty two cents on 102 00:05:51,040 --> 00:05:54,280 Speaker 1: the dollar compared with men, and that the gaps are 103 00:05:54,279 --> 00:05:57,320 Speaker 1: even larger for women of color. Okay, let's talk policy, Heather. 104 00:05:57,400 --> 00:05:59,839 Speaker 1: What are some solutions that you that you and and 105 00:05:59,880 --> 00:06:02,720 Speaker 1: the team are looking at to address this and and 106 00:06:03,279 --> 00:06:07,760 Speaker 1: are there any of them bipartism. Well, I will say, 107 00:06:07,880 --> 00:06:09,680 Speaker 1: you know a lot of the things that we need 108 00:06:09,720 --> 00:06:13,040 Speaker 1: to do to start to addressing the gender gap. Um. 109 00:06:13,120 --> 00:06:15,479 Speaker 1: Some of the pieces of that the foundations that that 110 00:06:15,560 --> 00:06:18,200 Speaker 1: we're in the American Rescue Plan, And while that didn't 111 00:06:18,240 --> 00:06:22,120 Speaker 1: get bipartisan votes up on Capitol Hill, it did get 112 00:06:22,160 --> 00:06:25,120 Speaker 1: bipartisan support out there among the American people. So you 113 00:06:25,160 --> 00:06:28,240 Speaker 1: saw it being supported by people across the political spectrum 114 00:06:28,279 --> 00:06:31,880 Speaker 1: because it dealt with those real issues, those real challenges. 115 00:06:32,200 --> 00:06:34,320 Speaker 1: Let me give you a couple of examples. And we 116 00:06:34,400 --> 00:06:36,719 Speaker 1: know that a big part of the gender pay gap 117 00:06:36,880 --> 00:06:40,320 Speaker 1: is unexplained. In fact, economists estimate that about thirty eight 118 00:06:40,360 --> 00:06:43,159 Speaker 1: percent of the gap between men and women's pay we 119 00:06:43,279 --> 00:06:46,280 Speaker 1: just can't explain using the kinds of jobs that men 120 00:06:46,320 --> 00:06:49,520 Speaker 1: and women are in, or race or gender, even educational 121 00:06:49,520 --> 00:06:51,360 Speaker 1: attainment because you know, women now are more likely to 122 00:06:51,440 --> 00:06:54,320 Speaker 1: graduate college than men, which should close the gender pay gap, 123 00:06:54,360 --> 00:06:57,400 Speaker 1: and it has, but not that doesn't surprise me. Go 124 00:06:57,440 --> 00:07:01,479 Speaker 1: ahead exactly. So if it's unexplained, you know, a big 125 00:07:01,520 --> 00:07:03,880 Speaker 1: part of what that is is, you know, UM, what's 126 00:07:03,920 --> 00:07:08,440 Speaker 1: happening inside workplaces, the norms about who gets paid time 127 00:07:08,480 --> 00:07:11,920 Speaker 1: off to care who doesn't, whether or not workers get 128 00:07:11,960 --> 00:07:14,680 Speaker 1: paid time off when they have a sick child or 129 00:07:14,720 --> 00:07:17,480 Speaker 1: a new child into the family. UM. And and you 130 00:07:17,520 --> 00:07:20,840 Speaker 1: know if the child care centers closed, which parent UM 131 00:07:20,920 --> 00:07:23,360 Speaker 1: quits their job or cuts back their hours to care 132 00:07:23,400 --> 00:07:25,560 Speaker 1: for the kids, or what happens when schools are closed. 133 00:07:25,920 --> 00:07:28,600 Speaker 1: So there's all of these different ways that we see, 134 00:07:28,880 --> 00:07:31,920 Speaker 1: UM the different responsibilities that women still tend to take 135 00:07:31,960 --> 00:07:36,360 Speaker 1: on for care affecting their ability to UM fully participate 136 00:07:36,480 --> 00:07:39,520 Speaker 1: in the workforce. And you know the ways that that 137 00:07:39,600 --> 00:07:42,960 Speaker 1: feeds through, you know, the ways that employers do or 138 00:07:42,960 --> 00:07:46,360 Speaker 1: do not discriminate against women relative to men or caregivers 139 00:07:46,440 --> 00:07:49,880 Speaker 1: more generally. So as worth thinking about solutions things like 140 00:07:50,160 --> 00:07:53,880 Speaker 1: making sure that we are giving child care centers the 141 00:07:53,880 --> 00:07:57,760 Speaker 1: resources they need to safely reopen and pay their workers. 142 00:07:57,800 --> 00:08:00,200 Speaker 1: That's something that is important for the gender wage up 143 00:08:00,240 --> 00:08:02,600 Speaker 1: because you know, those childcare workers some of the least 144 00:08:02,600 --> 00:08:06,080 Speaker 1: paid workers in our economy, especially relative to the skills 145 00:08:06,080 --> 00:08:08,840 Speaker 1: that they bring to the job. So we pay them well, 146 00:08:09,000 --> 00:08:12,760 Speaker 1: that's part of closing that gap disproportionate women, disproportionally women 147 00:08:12,760 --> 00:08:15,600 Speaker 1: of color. And then that care being there means that 148 00:08:15,840 --> 00:08:18,360 Speaker 1: other parents can get to work and that helps close 149 00:08:18,440 --> 00:08:20,640 Speaker 1: the gap in other ways. Heather Bouchet's with us from 150 00:08:20,640 --> 00:08:23,000 Speaker 1: the White House. Prior to that, she ran the Washington 151 00:08:23,160 --> 00:08:26,960 Speaker 1: Center for Equality and she uh inten. She served as 152 00:08:27,000 --> 00:08:30,160 Speaker 1: the chief economists for now former Secretary of State Hillary 153 00:08:30,160 --> 00:08:34,640 Speaker 1: clinton sixteen presidential campaign. I got two more questions for you. 154 00:08:34,760 --> 00:08:37,560 Speaker 1: First and foremost is talk to me about the private sector. 155 00:08:37,640 --> 00:08:40,439 Speaker 1: What should the private sector be doing to be more inclusive? 156 00:08:40,559 --> 00:08:44,360 Speaker 1: Because candidly, Congress sometimes from their perspective, takes a long time. 157 00:08:44,679 --> 00:08:47,480 Speaker 1: So what should what can businesses be doing right now 158 00:08:47,920 --> 00:08:51,680 Speaker 1: to close some of these inequities, both in the gender 159 00:08:51,720 --> 00:08:55,400 Speaker 1: gap as well as uh to be more inclusive. It's 160 00:08:55,400 --> 00:08:57,640 Speaker 1: a great question, you know. I I found it in 161 00:08:57,760 --> 00:09:00,319 Speaker 1: ran a small business essentially, and these who is I 162 00:09:00,360 --> 00:09:03,400 Speaker 1: thought about every day, you know, and I and it's hard, 163 00:09:03,520 --> 00:09:04,920 Speaker 1: but you know, here are some things you can do, 164 00:09:05,320 --> 00:09:10,400 Speaker 1: you know, thinking about making sure that hiring processes or unbiased. 165 00:09:10,520 --> 00:09:13,040 Speaker 1: There's actually this really great research, some of it done 166 00:09:13,040 --> 00:09:15,640 Speaker 1: by UM the chair of the Council of Economic Advisors 167 00:09:15,640 --> 00:09:19,160 Speaker 1: to seal your rouse UM, showing that how we interview 168 00:09:19,240 --> 00:09:22,440 Speaker 1: job candidates, UM, you know, our perceptions of them as 169 00:09:22,520 --> 00:09:25,280 Speaker 1: men or women, people of color, but that that can affect 170 00:09:25,280 --> 00:09:28,600 Speaker 1: how we view their skills. So as you're thinking about UM, 171 00:09:28,760 --> 00:09:33,400 Speaker 1: you know, doing application processes or evaluating people for promotions, 172 00:09:33,880 --> 00:09:37,400 Speaker 1: putting together processes that help eliminate that bias, you know, 173 00:09:37,600 --> 00:09:40,640 Speaker 1: maybe have UM, you know, blind applications. You don't know 174 00:09:40,760 --> 00:09:42,560 Speaker 1: the race or gender the applicants when you do the 175 00:09:42,600 --> 00:09:45,280 Speaker 1: first screen, and then maybe you'll find that while your 176 00:09:45,320 --> 00:09:47,800 Speaker 1: your pool is more diverse, you know, and focusing on 177 00:09:47,800 --> 00:09:50,880 Speaker 1: those diverse pools that's so so important. Another thing you 178 00:09:50,880 --> 00:09:53,360 Speaker 1: can do is UM, you know, there's a lot of 179 00:09:53,360 --> 00:09:57,120 Speaker 1: works showing that women start off with the pay gapp 180 00:09:57,200 --> 00:09:59,280 Speaker 1: and then it grows over time, and some of that 181 00:09:59,400 --> 00:10:01,840 Speaker 1: is because of job. She's asked, what did you make 182 00:10:01,880 --> 00:10:05,880 Speaker 1: it the last job? And UM, so those those UM, 183 00:10:05,920 --> 00:10:09,400 Speaker 1: those those gaps magnify. Well, you can fix that by 184 00:10:09,520 --> 00:10:11,560 Speaker 1: not asking people what they made at the last job. 185 00:10:11,840 --> 00:10:14,200 Speaker 1: Pay the people at your firm what they should be paid, 186 00:10:14,200 --> 00:10:16,079 Speaker 1: bet on based on the job that they're doing, not 187 00:10:16,200 --> 00:10:18,280 Speaker 1: based on whether or not they were paid a good 188 00:10:18,360 --> 00:10:20,640 Speaker 1: or a bad salary at their prior job. So we 189 00:10:20,760 --> 00:10:24,120 Speaker 1: call that um you know, not asking about salary history. 190 00:10:24,280 --> 00:10:25,880 Speaker 1: So these are just some of the things that private 191 00:10:26,160 --> 00:10:28,160 Speaker 1: employers can do to make sure that they are not 192 00:10:28,840 --> 00:10:32,200 Speaker 1: um creating inequities in their own workplaces. Fun fact about 193 00:10:32,280 --> 00:10:35,719 Speaker 1: Kevin Ahead, and they could offer a paid leave. I've 194 00:10:35,720 --> 00:10:38,160 Speaker 1: got three older sisters, all of them played Division one soccer, 195 00:10:38,200 --> 00:10:40,040 Speaker 1: so I would be the myst if I didn't ask 196 00:10:40,080 --> 00:10:43,800 Speaker 1: you this question. What was Megan Rappano like today? Did 197 00:10:43,800 --> 00:10:46,560 Speaker 1: you meet her? I feel like you probably already met her. 198 00:10:47,200 --> 00:10:49,080 Speaker 1: I didn't get to meet her. I was in another 199 00:10:49,080 --> 00:10:52,000 Speaker 1: mood with the vice president. But she's a hero, and 200 00:10:52,040 --> 00:10:54,720 Speaker 1: I was so excited that they are talking about pay equity. 201 00:10:54,760 --> 00:10:57,080 Speaker 1: I mean women's sports. That is such a place where 202 00:10:57,120 --> 00:10:59,680 Speaker 1: you see these grave inequities and it's not fair and 203 00:10:59,720 --> 00:11:02,559 Speaker 1: it's out right. All right, we'll leave it there. Maybe 204 00:11:02,840 --> 00:11:05,880 Speaker 1: you know what, tell Megan Rappano or Vice President Kamala 205 00:11:05,880 --> 00:11:08,040 Speaker 1: Harris to come on the show. I talked about this 206 00:11:08,080 --> 00:11:10,839 Speaker 1: with them, all right, Heather Bruschet, I appreciate the time. 207 00:11:11,520 --> 00:11:13,480 Speaker 1: Thanks for so much for your time. That's Heather Bruche. 208 00:11:13,720 --> 00:11:18,160 Speaker 1: She's a member of President Joe Biden's Council of Economic Advisors. Uh, 209 00:11:18,160 --> 00:11:21,600 Speaker 1: and she's talking about equal pay day, economics and infrastructure. Look, 210 00:11:21,640 --> 00:11:23,240 Speaker 1: I gotta be candid. I thought it was interesting what 211 00:11:23,280 --> 00:11:25,280 Speaker 1: she said about what the private sector should be doing, 212 00:11:25,840 --> 00:11:28,559 Speaker 1: because let's be candid. You know, we're talking about infrastructure, 213 00:11:28,600 --> 00:11:31,800 Speaker 1: we're talking about tax policies and whatnot, but those are 214 00:11:31,800 --> 00:11:35,760 Speaker 1: still at least months and months away. So interesting to 215 00:11:35,840 --> 00:11:38,360 Speaker 1: hear how the conversation out of Washington, even though people 216 00:11:38,480 --> 00:11:41,000 Speaker 1: roll their eyes at it, does in fact impact the 217 00:11:41,040 --> 00:11:45,800 Speaker 1: private sector in different reverberations. Coming up next, Bloomberg Policy 218 00:11:45,920 --> 00:11:49,119 Speaker 1: All Star Panel. Jennie shn Zano joins me with Congressman 219 00:11:49,200 --> 00:11:53,120 Speaker 1: Andy Levin. I'm Kevin Curili, chief Washington correspondent for Remember 220 00:11:53,120 --> 00:12:06,040 Speaker 1: TV and Radio. This blog. This is Bloomberg Sound On 221 00:12:06,360 --> 00:12:12,080 Speaker 1: with Kevin Shirley on Bloomberg Radio. My name is Kevin Serillium, 222 00:12:12,320 --> 00:12:16,640 Speaker 1: Chief Washington correspondent for Bloomberg Television and for Bloomberg Radio, 223 00:12:17,360 --> 00:12:22,199 Speaker 1: accompanied none other than by Jennie Schanzano, Professor Jenie Sanzano, 224 00:12:22,240 --> 00:12:28,440 Speaker 1: Bloomberg Politics policy contributor. Jennie. We're waiting for Congressman Andy Levin, 225 00:12:28,480 --> 00:12:30,960 Speaker 1: but just your your reaction from the White House. And 226 00:12:30,960 --> 00:12:33,160 Speaker 1: we just heard from Heather Busch, a member of the 227 00:12:33,160 --> 00:12:36,559 Speaker 1: Council of Economic Advisers. I mean, it was so fascinating 228 00:12:36,600 --> 00:12:39,480 Speaker 1: to hear her on Equal Payday. I didn't realize when 229 00:12:39,480 --> 00:12:42,480 Speaker 1: she talked to you about the thirty eight percent gap 230 00:12:42,600 --> 00:12:46,680 Speaker 1: that cannot be explained, um which and then you followed 231 00:12:46,760 --> 00:12:49,800 Speaker 1: up with this question that's critically important about what's happening 232 00:12:49,840 --> 00:12:52,720 Speaker 1: inside these organizations and what the private sector can do. 233 00:12:53,240 --> 00:12:56,600 Speaker 1: And she talked about things like how we interview job candidates, 234 00:12:56,600 --> 00:12:59,800 Speaker 1: and it reminded me about those blind auditions they do 235 00:12:59,840 --> 00:13:03,280 Speaker 1: it orchestras to help eliminate gender bias. So you know, 236 00:13:03,480 --> 00:13:05,800 Speaker 1: there's a lot there I think that we need to 237 00:13:05,840 --> 00:13:09,520 Speaker 1: think about. But that thirty eight percent unexplained is I 238 00:13:09,559 --> 00:13:11,880 Speaker 1: think where we need, at least in my field, to 239 00:13:11,920 --> 00:13:15,000 Speaker 1: do more research to understand what is going on there. 240 00:13:15,000 --> 00:13:17,200 Speaker 1: And to her point, what can be done to address 241 00:13:17,520 --> 00:13:21,800 Speaker 1: these situations. Yeah, I think it's interesting, especially you know, 242 00:13:21,880 --> 00:13:24,280 Speaker 1: sitting here on a rainy day in Washington, d C. 243 00:13:24,880 --> 00:13:28,320 Speaker 1: Another rainy day like that famous painting that is I 244 00:13:28,360 --> 00:13:32,320 Speaker 1: believe in the Oval office. But it's it's fascinating to 245 00:13:32,440 --> 00:13:35,199 Speaker 1: hear the criticism, which which we hear frequently from the 246 00:13:35,240 --> 00:13:38,160 Speaker 1: private sector that oh, Washington d C. Never does anything, 247 00:13:38,280 --> 00:13:40,400 Speaker 1: or you know, they're just all talk and a lot 248 00:13:40,400 --> 00:13:43,320 Speaker 1: of political theater. But but the the parameters of of 249 00:13:43,360 --> 00:13:49,040 Speaker 1: the debate, whether it's on um gender pay issues or uh, 250 00:13:49,320 --> 00:13:53,319 Speaker 1: how to address inequality, or even broader sense from from 251 00:13:53,400 --> 00:13:57,319 Speaker 1: geopolitics perspective, the way that those debates are framed really 252 00:13:57,400 --> 00:14:01,200 Speaker 1: does impact the c suite level and the policies in 253 00:14:01,240 --> 00:14:04,440 Speaker 1: the borderroom. Would you agree it does? And I think 254 00:14:04,480 --> 00:14:06,560 Speaker 1: one of the things that I've done some work in 255 00:14:06,559 --> 00:14:08,520 Speaker 1: this area, and one of the things that we always 256 00:14:08,600 --> 00:14:11,559 Speaker 1: have to make the case is that it not only 257 00:14:12,120 --> 00:14:15,480 Speaker 1: is makes sense from a societal perspective to have equal 258 00:14:15,559 --> 00:14:19,000 Speaker 1: pay and eliminate gender bias, it is good business sense. 259 00:14:19,360 --> 00:14:23,680 Speaker 1: And that's something I think increasingly organizations are recognizing that 260 00:14:23,760 --> 00:14:26,840 Speaker 1: for their bottom line, if nothing else, this makes good sense. 261 00:14:27,120 --> 00:14:30,040 Speaker 1: And then next step once you prioritize that how do 262 00:14:30,080 --> 00:14:33,640 Speaker 1: you get there? And that's that's not easy to do. Well, 263 00:14:33,800 --> 00:14:38,320 Speaker 1: is it from your research? Professors? They know? Is it? 264 00:14:38,400 --> 00:14:42,640 Speaker 1: Is it? Is it more complicated than just saying, um, 265 00:14:42,840 --> 00:14:45,640 Speaker 1: someone isn't paying someone? Or what are the factors that 266 00:14:45,680 --> 00:14:50,200 Speaker 1: contribute to to the beyond? What does the research suggests? 267 00:14:50,200 --> 00:14:53,680 Speaker 1: I mean, we're this artfully, what are what are the 268 00:14:53,920 --> 00:14:57,000 Speaker 1: what does the research suggests in terms of why women 269 00:14:57,040 --> 00:14:59,600 Speaker 1: are not often paid more? Is it? Is it? What 270 00:14:59,680 --> 00:15:02,200 Speaker 1: are some what is the research show? Well, there is 271 00:15:02,240 --> 00:15:05,400 Speaker 1: obviously a history there, and so you know there is 272 00:15:05,440 --> 00:15:09,600 Speaker 1: a structural component to this. So there's that, there's also 273 00:15:09,680 --> 00:15:13,880 Speaker 1: psychological and sociological aspects. Just as an example, Um, you know, 274 00:15:14,080 --> 00:15:17,440 Speaker 1: we know that women leave in college and I'm graduating 275 00:15:17,440 --> 00:15:20,560 Speaker 1: at a higher rate with higher grades, doing better in college. 276 00:15:21,200 --> 00:15:24,640 Speaker 1: Yet when they get into the workforce, for whatever reason, 277 00:15:24,800 --> 00:15:28,240 Speaker 1: they aren't as willing for other reasons, to stand up 278 00:15:28,240 --> 00:15:31,040 Speaker 1: and put themselves on the front lines in the same 279 00:15:31,080 --> 00:15:33,720 Speaker 1: way as some men are. And so there seems to 280 00:15:33,760 --> 00:15:36,360 Speaker 1: be this gap there that we need to figure out 281 00:15:36,440 --> 00:15:38,440 Speaker 1: how to close. And I think a lot of it 282 00:15:38,520 --> 00:15:42,600 Speaker 1: is structural, fascinating, fascinating, fascinating and that research is just 283 00:15:42,640 --> 00:15:47,040 Speaker 1: so incredibly important, the data, of course, to inform the policies. 284 00:15:47,120 --> 00:15:50,240 Speaker 1: Joining us now on the telephone line, Congressman Andy Levin. 285 00:15:50,280 --> 00:15:54,120 Speaker 1: He is a Democrat from Michigan's ninth congressional district. He 286 00:15:54,160 --> 00:15:56,240 Speaker 1: is a member of the Committee on Education and Labor 287 00:15:56,360 --> 00:16:00,480 Speaker 1: and on the Committee on Foreign Relations. Chire, been great 288 00:16:00,520 --> 00:16:02,160 Speaker 1: to have you back. Let me play for you a 289 00:16:02,200 --> 00:16:05,560 Speaker 1: sound bite from FED Chairman J. Powell. He testified on 290 00:16:05,600 --> 00:16:09,680 Speaker 1: the hill today, not before your committee, but he talked 291 00:16:09,680 --> 00:16:13,120 Speaker 1: about inflation pressures, which he believes they're going to be temporary. 292 00:16:13,320 --> 00:16:15,240 Speaker 1: Take a listen to what he had to say, and 293 00:16:15,240 --> 00:16:16,720 Speaker 1: then I want to get your reaction to it. Here 294 00:16:16,880 --> 00:16:20,680 Speaker 1: is in the near term, we do expect, as many 295 00:16:20,760 --> 00:16:23,720 Speaker 1: forecasters do, that there will be some upward pressure on prices, 296 00:16:24,000 --> 00:16:26,560 Speaker 1: and also there'll be a technical thing of base effects, 297 00:16:26,560 --> 00:16:29,160 Speaker 1: as the very low readings from April April in March 298 00:16:29,200 --> 00:16:31,359 Speaker 1: of last year drop out of the twelve year calculation. 299 00:16:32,320 --> 00:16:35,440 Speaker 1: We don't expect that those that upward pressure will produce 300 00:16:35,640 --> 00:16:39,280 Speaker 1: uh substantially higher prices, or that the effects will be persistent. 301 00:16:39,320 --> 00:16:44,120 Speaker 1: We expect that they'll be transitory or temporary. Congress inflation 302 00:16:44,240 --> 00:16:46,440 Speaker 1: are the union workers. Are they worried about it? These 303 00:16:46,440 --> 00:16:51,560 Speaker 1: are your people, are they? Are they worried about inflation? No, Kevin, 304 00:16:51,600 --> 00:16:55,160 Speaker 1: I don't think inflation is at the center of people's 305 00:16:55,200 --> 00:16:59,400 Speaker 1: mind right now. I mean, we're in the middle of 306 00:17:00,000 --> 00:17:02,560 Speaker 1: the biggest public health crisis in a hundred years. We've 307 00:17:02,640 --> 00:17:05,399 Speaker 1: got still very high unemployment. We've got a lot of 308 00:17:05,440 --> 00:17:09,240 Speaker 1: people out of the workforce altogether who really want to work. 309 00:17:09,800 --> 00:17:13,120 Speaker 1: You know, we've got a over well over a million 310 00:17:13,400 --> 00:17:16,920 Speaker 1: jobs lost in the public sector. So we're we've gotta 311 00:17:16,920 --> 00:17:19,840 Speaker 1: get everybody back to work. And I don't think inflation 312 00:17:20,040 --> 00:17:23,440 Speaker 1: is um you know, a real center central concern. I 313 00:17:23,560 --> 00:17:26,359 Speaker 1: think the Fed Chairman is right in his assessment. You know, 314 00:17:26,440 --> 00:17:30,199 Speaker 1: you're on the Subcommittee on Asia, the Pacific, Central Asia 315 00:17:30,320 --> 00:17:33,159 Speaker 1: and the Non Proliferation or the vice chairman of that, 316 00:17:33,520 --> 00:17:38,600 Speaker 1: as well as the Subcommittee on the Western Hemisphere, Civilian Concern, Security, Migration, 317 00:17:38,680 --> 00:17:42,159 Speaker 1: and International Economic Policy. I want to talk to you 318 00:17:42,400 --> 00:17:46,760 Speaker 1: about domestic manufacturing. I was struck by the twenty billion 319 00:17:46,880 --> 00:17:51,560 Speaker 1: dollars that Intel invested in the United States to help 320 00:17:51,640 --> 00:17:54,840 Speaker 1: share up some of the supply chains for the semiconductor 321 00:17:55,240 --> 00:17:59,840 Speaker 1: chip shortage that hopefully will create some some American jobs 322 00:18:00,200 --> 00:18:02,719 Speaker 1: and diversify the supply chain. I wanted to get your 323 00:18:02,760 --> 00:18:06,080 Speaker 1: reaction to that, but also to to to to see 324 00:18:06,119 --> 00:18:08,600 Speaker 1: what we could glean from you about just how important 325 00:18:08,640 --> 00:18:10,880 Speaker 1: it is to diversify from China, but in a way 326 00:18:10,960 --> 00:18:13,600 Speaker 1: it to also provide jobs here and and and link 327 00:18:13,680 --> 00:18:19,520 Speaker 1: that diversification to manufacturing jobs. Kevin, it's hugely, hugely important. 328 00:18:19,640 --> 00:18:22,360 Speaker 1: At long last, we need to have an industrial policy 329 00:18:22,480 --> 00:18:25,639 Speaker 1: in this country. You know, people have have relied on 330 00:18:25,880 --> 00:18:30,240 Speaker 1: tired stereotypes and you know things like, oh, well, you 331 00:18:30,320 --> 00:18:33,439 Speaker 1: know we can't make things here because people make too 332 00:18:33,560 --> 00:18:37,480 Speaker 1: much money, or you know they're too highly unionized. Well, 333 00:18:37,880 --> 00:18:40,879 Speaker 1: I mean, look at Germany, much more highly unionized in 334 00:18:40,920 --> 00:18:45,280 Speaker 1: the United States, much higher labor costs in the United States, 335 00:18:45,880 --> 00:18:49,560 Speaker 1: and Germany literally has gets twice as much of its 336 00:18:49,640 --> 00:18:53,800 Speaker 1: GDP from manufacturing as the US does not more or 337 00:18:54,720 --> 00:18:58,800 Speaker 1: more twice as much. We mean, we've we've seen the 338 00:18:58,920 --> 00:19:03,600 Speaker 1: national security were requirements too for because of PPE and 339 00:19:04,359 --> 00:19:09,520 Speaker 1: vaccine supplies for COVID. We've seen are the inability of 340 00:19:09,600 --> 00:19:12,680 Speaker 1: our car companies to finish making cars because they we 341 00:19:12,720 --> 00:19:15,160 Speaker 1: don't know the chips they need. I mean, we've got 342 00:19:15,320 --> 00:19:19,320 Speaker 1: to rebuild manufacturing in this country and then look at 343 00:19:19,359 --> 00:19:22,720 Speaker 1: climate change. Nobody's even talking about this, but we we 344 00:19:23,119 --> 00:19:26,080 Speaker 1: we really can't be shipping things around the world so 345 00:19:26,280 --> 00:19:29,480 Speaker 1: much that could be made all over the place. And 346 00:19:29,600 --> 00:19:32,760 Speaker 1: that's the way not only to rebuild manufacturing here, but 347 00:19:32,920 --> 00:19:36,200 Speaker 1: to help, say, our poorer neighbors in the Western hemisphere 348 00:19:36,280 --> 00:19:38,840 Speaker 1: get in the game. Some talk about a response to 349 00:19:38,920 --> 00:19:41,800 Speaker 1: Belt and Row that you know of China. What if 350 00:19:41,840 --> 00:19:46,119 Speaker 1: the US led a massive climate change initiative in the 351 00:19:46,160 --> 00:19:48,879 Speaker 1: Western hemisphere where we said, okay, we've got to do 352 00:19:49,280 --> 00:19:54,080 Speaker 1: a huge amount more of offshore wind, onshore wind, solar, solar, thermal, 353 00:19:54,160 --> 00:19:59,200 Speaker 1: geo thermal battery storage. That's a lot of manufacturing. Let's 354 00:19:59,320 --> 00:20:02,119 Speaker 1: make a lot of it here and and you know, 355 00:20:02,280 --> 00:20:05,240 Speaker 1: sell it or on subsidized terms to our neighbors and 356 00:20:05,280 --> 00:20:09,760 Speaker 1: then help them begin to manufacture stuff with their own needs. 357 00:20:10,119 --> 00:20:13,160 Speaker 1: And you know, I think we need a real renaissance 358 00:20:13,320 --> 00:20:16,560 Speaker 1: of manufacturing. It's great jobs, it's a lot of union jobs. 359 00:20:17,400 --> 00:20:21,840 Speaker 1: The know how goes where the manufacturing is. Congressman, you're 360 00:20:22,040 --> 00:20:23,720 Speaker 1: making stuff here. You know we're not going to have 361 00:20:23,920 --> 00:20:30,399 Speaker 1: the engineering and research either. Congressmen, you represent Detroit's northern 362 00:20:30,440 --> 00:20:33,919 Speaker 1: and northeastern suburbs the ninth Congressional District of Michigan. I mean, 363 00:20:33,960 --> 00:20:38,879 Speaker 1: you mentioned a resurgence of manufacturing as well as trying 364 00:20:38,960 --> 00:20:42,560 Speaker 1: to have some some effect on changing the global policies 365 00:20:42,680 --> 00:20:45,240 Speaker 1: regarding climate change. But let me let me press you 366 00:20:45,280 --> 00:20:47,560 Speaker 1: on the solar panels. I mean, this is right up here, 367 00:20:47,760 --> 00:20:51,320 Speaker 1: right up your alley, solar panels, poly silicon. I mean, 368 00:20:51,400 --> 00:20:54,080 Speaker 1: half of the global supply of poly silicon cumes from 369 00:20:54,080 --> 00:20:56,840 Speaker 1: the Shinjang Province of China. I mean, and we all 370 00:20:56,880 --> 00:20:59,159 Speaker 1: know about the human rights abuses. President Biden the other 371 00:20:59,240 --> 00:21:04,520 Speaker 1: week joining the UK EU issuing some important important sanctions 372 00:21:04,600 --> 00:21:08,120 Speaker 1: against some individuals for their cooperation with the Communist Party 373 00:21:08,119 --> 00:21:11,080 Speaker 1: of China in order to to do this horrific human 374 00:21:11,160 --> 00:21:14,640 Speaker 1: rights abuses against the weaker Muslim minorities. But how crucial 375 00:21:14,800 --> 00:21:17,880 Speaker 1: is it that there's rare earth and minerals and metals 376 00:21:18,520 --> 00:21:20,960 Speaker 1: that we that you know, maybe we diversify if we 377 00:21:21,040 --> 00:21:23,800 Speaker 1: can't do it here in the United States to other 378 00:21:23,840 --> 00:21:28,680 Speaker 1: parts of the world with our allies. It's it's absolutely crucial. 379 00:21:29,240 --> 00:21:33,320 Speaker 1: You know, the President Biden has brought a measure of 380 00:21:33,440 --> 00:21:36,720 Speaker 1: sanity back to our foreign policy. We need to work. 381 00:21:36,920 --> 00:21:43,240 Speaker 1: China is a huge problem in many different ways, intellectual properties, 382 00:21:43,280 --> 00:21:48,560 Speaker 1: at currency manipulation, unfair trade in other ways, but we 383 00:21:48,720 --> 00:21:54,159 Speaker 1: can't human rights abuses human well, human rights abuses massively, 384 00:21:54,400 --> 00:21:56,760 Speaker 1: not only in Sin John, which is probably the worst, 385 00:21:57,160 --> 00:22:00,600 Speaker 1: but to bet Hong Kong and on and on. So 386 00:22:01,280 --> 00:22:05,040 Speaker 1: we need to uh tackle China. We need to get 387 00:22:05,080 --> 00:22:09,280 Speaker 1: all our allies together and confront China as a group 388 00:22:09,400 --> 00:22:11,600 Speaker 1: to say, well, you know, we'll trade with you, but 389 00:22:11,680 --> 00:22:13,679 Speaker 1: you've got to trade on fair terms. We're not going 390 00:22:13,720 --> 00:22:16,880 Speaker 1: to shut up when you violate people's human rights, when 391 00:22:16,960 --> 00:22:20,159 Speaker 1: you have people working in forced labor camps. And we 392 00:22:20,280 --> 00:22:23,119 Speaker 1: need to shine light on any American and other Western 393 00:22:23,240 --> 00:22:27,480 Speaker 1: companies that make goods with you know, that are made 394 00:22:27,520 --> 00:22:30,600 Speaker 1: with parts or or materials that come from Saint John. 395 00:22:30,760 --> 00:22:34,040 Speaker 1: So we absolutely need to diversify and we need to 396 00:22:34,119 --> 00:22:36,440 Speaker 1: stand up for human rights around the world. And I 397 00:22:36,520 --> 00:22:38,960 Speaker 1: think Joe Biden's off to a really good start in 398 00:22:39,080 --> 00:22:42,520 Speaker 1: that regard. Representative Leving. It's Genie Chanzano. It's good to 399 00:22:42,600 --> 00:22:46,320 Speaker 1: talk to you. Um, I hope you're doing well. I am. 400 00:22:46,440 --> 00:22:49,359 Speaker 1: I'm listening to this conversation about a resurgence and a 401 00:22:49,440 --> 00:22:54,000 Speaker 1: renaissance of manufacturing. And one of the things that I've 402 00:22:54,040 --> 00:22:55,760 Speaker 1: been able to work on a little bit is the 403 00:22:55,960 --> 00:22:58,600 Speaker 1: pro promises on both the right and the left, going 404 00:22:58,680 --> 00:23:01,520 Speaker 1: back several elections. I goes to bring jobs back to 405 00:23:01,600 --> 00:23:05,359 Speaker 1: the United States, and yet what that conversation seems to 406 00:23:05,560 --> 00:23:08,720 Speaker 1: miss is the fact that many of these jobs haven't 407 00:23:08,760 --> 00:23:12,560 Speaker 1: gone abroad, They've gone to AI. So I'm wondering what 408 00:23:13,000 --> 00:23:15,399 Speaker 1: Congress can do and what you can do, And I 409 00:23:15,480 --> 00:23:18,320 Speaker 1: know this impacts your district a lot in terms of 410 00:23:18,440 --> 00:23:21,000 Speaker 1: jobs that have gone to artificial intelligence, and how we 411 00:23:21,119 --> 00:23:25,159 Speaker 1: can prepare the workforce for that transition, which is you know, 412 00:23:25,400 --> 00:23:29,200 Speaker 1: big and premises to get bigger, absolutely well, and just 413 00:23:29,359 --> 00:23:32,639 Speaker 1: technological change of all kinds. You know, in the night, 414 00:23:32,680 --> 00:23:35,000 Speaker 1: I gotta get my hands on the specific issue. Butter 415 00:23:35,119 --> 00:23:38,959 Speaker 1: sometimes that I did. The cover of Time magazine had Flint, 416 00:23:39,160 --> 00:23:42,520 Speaker 1: Michigan on it, and I think GM employed eighty or 417 00:23:42,560 --> 00:23:47,240 Speaker 1: a hundred thousand people in Flint alone building cars, and 418 00:23:47,359 --> 00:23:51,479 Speaker 1: it was the highest meeting income city in America. Today 419 00:23:51,840 --> 00:23:59,960 Speaker 1: GM employees people in the entire United States. Wow, that's yeah, 420 00:24:00,200 --> 00:24:03,400 Speaker 1: You're so right about you know that that the nature 421 00:24:03,400 --> 00:24:05,720 Speaker 1: of work is changing. What we have to do is 422 00:24:05,800 --> 00:24:09,359 Speaker 1: two things. Number One, we have to give workers the 423 00:24:09,480 --> 00:24:11,960 Speaker 1: freedom to form unions and have a seat at the table, 424 00:24:12,320 --> 00:24:15,080 Speaker 1: so they can sit with their executives of their company 425 00:24:15,520 --> 00:24:17,960 Speaker 1: planned together and not feel like they are on the 426 00:24:18,119 --> 00:24:23,280 Speaker 1: chopping block. Secondly, we've got to have a much more 427 00:24:23,440 --> 00:24:28,280 Speaker 1: robust workforce education system so that people can train and 428 00:24:28,440 --> 00:24:33,640 Speaker 1: retrain throughout their careers as the technology changes. And those 429 00:24:33,760 --> 00:24:36,560 Speaker 1: both of those things are quite possible. Again, if you 430 00:24:36,600 --> 00:24:40,639 Speaker 1: look at some of our European friends slash competitors, you know, 431 00:24:41,320 --> 00:24:45,120 Speaker 1: they put a lot more money into their human capital 432 00:24:45,560 --> 00:24:48,760 Speaker 1: so that they're not you know, workers in Sweden where 433 00:24:48,800 --> 00:24:53,480 Speaker 1: the where people have unions, aren't really afraid of technological change. 434 00:24:53,600 --> 00:24:55,920 Speaker 1: They want their company to be the most efficient and 435 00:24:56,000 --> 00:24:59,520 Speaker 1: cutting edge it can be so they can thrive over time. 436 00:25:00,119 --> 00:25:03,040 Speaker 1: But they're not worried about their jobs because they have 437 00:25:03,200 --> 00:25:05,080 Speaker 1: a seat at the table. So I think we can 438 00:25:05,160 --> 00:25:09,119 Speaker 1: have a higher road approach and have the US be 439 00:25:09,320 --> 00:25:13,320 Speaker 1: much more competitive, um, you know, on on the global scene, 440 00:25:13,400 --> 00:25:17,440 Speaker 1: but also lead in a way much better. And you know, 441 00:25:17,600 --> 00:25:21,200 Speaker 1: I think we react to the Chinese Belt and Road 442 00:25:21,240 --> 00:25:25,720 Speaker 1: initiative defensively and reactively take Wait a minute, we're the 443 00:25:25,880 --> 00:25:30,800 Speaker 1: United States. We have were the center of innovation and creativity. 444 00:25:31,400 --> 00:25:35,480 Speaker 1: Let's let's let's leverage all that to be a you know, 445 00:25:35,640 --> 00:25:39,680 Speaker 1: a great partner to the smaller countries and you know, 446 00:25:39,840 --> 00:25:42,879 Speaker 1: help them thrive. And if we do, we'll blow the 447 00:25:43,000 --> 00:25:45,920 Speaker 1: Chinese you know, efforts out of the water, which involves 448 00:25:45,960 --> 00:25:49,359 Speaker 1: a lot of pressure on countries and a lot of 449 00:25:50,280 --> 00:25:52,880 Speaker 1: loans that they have to pay back. So I think 450 00:25:52,920 --> 00:25:56,359 Speaker 1: we could do a lot. Comes down too, goes down 451 00:25:56,400 --> 00:25:58,240 Speaker 1: to trust, and people don't I mean, people don't trust 452 00:25:58,240 --> 00:26:00,960 Speaker 1: the Communist Party of China. Look August and Andy Levin's 453 00:26:01,000 --> 00:26:02,800 Speaker 1: with us. He's a Democrat from Michigan. I want to 454 00:26:02,840 --> 00:26:05,240 Speaker 1: keep it domestic, just to to to piggyback off of 455 00:26:05,280 --> 00:26:09,240 Speaker 1: what Jamie Shnzano, our Bloomberg Politics contributor, was just alluding to, 456 00:26:10,000 --> 00:26:12,600 Speaker 1: and and that that you had just mentioned. You know 457 00:26:13,000 --> 00:26:16,840 Speaker 1: that it used to be all politics, all politics is personal. 458 00:26:16,960 --> 00:26:20,640 Speaker 1: Well now all politics is plastic and all policy is personal. 459 00:26:21,040 --> 00:26:25,800 Speaker 1: And so when we're having a conversation about reworking the 460 00:26:26,320 --> 00:26:30,280 Speaker 1: energy sector, not just in the United States but globally, candidly, 461 00:26:30,720 --> 00:26:34,080 Speaker 1: I hear this from folks back home, which is where 462 00:26:34,200 --> 00:26:36,840 Speaker 1: is the money for retraining? If you're going to have, 463 00:26:37,280 --> 00:26:40,960 Speaker 1: whether it's a stimulus package or past executive orders. Uh, 464 00:26:41,200 --> 00:26:45,439 Speaker 1: under the under the notion of addressing climate change? Well, 465 00:26:45,480 --> 00:26:47,760 Speaker 1: what are you gonna do with refinery workers? And so 466 00:26:47,880 --> 00:26:50,400 Speaker 1: you alluded to to what Switzerland does, what Germany does, 467 00:26:50,600 --> 00:26:54,240 Speaker 1: But Congressman, where is the money to retrain employees, not 468 00:26:54,440 --> 00:26:56,760 Speaker 1: just when they're fresh out of college, not just with 469 00:26:57,160 --> 00:27:03,160 Speaker 1: um a school's a teenager and going into vocational training programs, 470 00:27:03,520 --> 00:27:06,680 Speaker 1: but at forty years old and their fifties, and yes, 471 00:27:06,800 --> 00:27:10,440 Speaker 1: even in their sixties, so that they can continue to 472 00:27:10,680 --> 00:27:16,240 Speaker 1: have economic income, good paying quality jobs. Now you're really 473 00:27:16,280 --> 00:27:20,240 Speaker 1: getting into my rain co. So this the first of all, 474 00:27:20,520 --> 00:27:22,560 Speaker 1: this this has got to become a thing to talk 475 00:27:22,600 --> 00:27:26,760 Speaker 1: about on Bloomberg. What what here? I am? Delco has 476 00:27:26,880 --> 00:27:30,119 Speaker 1: arrived or yeah, what a what a boiler maker, a 477 00:27:30,200 --> 00:27:33,080 Speaker 1: pipe fitter, or a laborer says, would you tell them 478 00:27:33,200 --> 00:27:35,680 Speaker 1: to go? You know you're not gonna work in the 479 00:27:35,720 --> 00:27:39,040 Speaker 1: fossil fuel industry anymore? You go put up solar panels, 480 00:27:39,520 --> 00:27:44,800 Speaker 1: They say, blank blank, you those aren't jobs. And well, 481 00:27:44,880 --> 00:27:47,280 Speaker 1: the so the first thing that has to happen. I'm 482 00:27:47,280 --> 00:27:50,360 Speaker 1: gonna hit on this over and over again, as we've 483 00:27:50,400 --> 00:27:53,200 Speaker 1: got to pass the Proact and restore the freedom to 484 00:27:53,280 --> 00:27:56,680 Speaker 1: form unions and bargain collectively in this country so that 485 00:27:56,800 --> 00:27:59,680 Speaker 1: those so that all those new industry jobs can be 486 00:28:00,000 --> 00:28:02,960 Speaker 1: good middle class jobs, just like the auto and rubber 487 00:28:03,080 --> 00:28:06,560 Speaker 1: and steel industries, which were horrible, low paying, interous job 488 00:28:07,000 --> 00:28:10,119 Speaker 1: a hundred years ago. We're turned into the aristocracy in 489 00:28:10,119 --> 00:28:13,480 Speaker 1: the middle class because the workers organized. And you know, 490 00:28:13,880 --> 00:28:17,320 Speaker 1: I've just been down in Bestment, Alabama, at the Amazon facility. 491 00:28:17,440 --> 00:28:20,480 Speaker 1: You know, that's one whole thing. But on your other point, 492 00:28:21,480 --> 00:28:23,280 Speaker 1: how do I know it can be done? Because I 493 00:28:23,359 --> 00:28:26,360 Speaker 1: already did it. You know, I ran the Michigan workforce 494 00:28:26,440 --> 00:28:31,080 Speaker 1: system for the whole forty nine months when Michigan forty 495 00:28:31,160 --> 00:28:34,119 Speaker 1: nine straight months we had the highest unemployment rate of 496 00:28:34,160 --> 00:28:37,520 Speaker 1: any state, and I we created a program called called 497 00:28:37,560 --> 00:28:41,520 Speaker 1: No Worker Left Behind. It was essentially a free college program. 498 00:28:41,840 --> 00:28:46,960 Speaker 1: Every worker, unemployed or unemployed worker could get up to 499 00:28:47,080 --> 00:28:50,560 Speaker 1: two years of free tuition up to ten thous dollars 500 00:28:50,640 --> 00:28:55,080 Speaker 1: worth at any Michigan community college or university or approved 501 00:28:55,120 --> 00:28:59,240 Speaker 1: training program to as long as they studied for the skills, 502 00:28:59,360 --> 00:29:03,160 Speaker 1: certificate or degrees needed for an in demand job in Michigan. 503 00:29:03,640 --> 00:29:06,360 Speaker 1: And people said, oh, Michigan. Like you said, they're thirty, 504 00:29:06,400 --> 00:29:09,000 Speaker 1: they're forty. We work with our hands in Michigan. They 505 00:29:09,000 --> 00:29:10,360 Speaker 1: don't want to go to school. They don't want to 506 00:29:10,360 --> 00:29:12,480 Speaker 1: be next to some kid who's with tattoos, and you 507 00:29:12,520 --> 00:29:16,560 Speaker 1: know whatever, their stereotype is young people. You know what, Kevin, 508 00:29:16,720 --> 00:29:18,920 Speaker 1: we got eighty three counties in Michigan. We had a 509 00:29:19,000 --> 00:29:22,280 Speaker 1: waiting list for no worker left behind in eighty three counties, 510 00:29:22,400 --> 00:29:26,320 Speaker 1: and we put one hundred and sixty two thousand Michigan 511 00:29:26,360 --> 00:29:29,560 Speaker 1: workers back to school. The vast majority of them got 512 00:29:29,720 --> 00:29:36,240 Speaker 1: jobs in you know, healthcare, nanotechnology, robotics, other advanced manufacturing areas. 513 00:29:36,360 --> 00:29:39,680 Speaker 1: I t so we we can do it, but you're right, 514 00:29:39,760 --> 00:29:43,480 Speaker 1: we haven't invested at itately. Watching what Joe, watch what 515 00:29:43,640 --> 00:29:46,000 Speaker 1: Joe Biden proposes. That I was just at the White 516 00:29:46,040 --> 00:29:49,840 Speaker 1: House yesterday meeting with his chief of staff and his 517 00:29:49,920 --> 00:29:52,680 Speaker 1: other top lieutenant that agree to which they want to 518 00:29:52,720 --> 00:29:55,520 Speaker 1: partner with us is still kind of amazing to me. 519 00:29:56,200 --> 00:29:59,480 Speaker 1: And um, you know they are going to workforce is 520 00:29:59,520 --> 00:30:02,440 Speaker 1: going to be a central part of what they proposed 521 00:30:02,560 --> 00:30:04,680 Speaker 1: in the coming year. Yeah, I still I still say, 522 00:30:04,720 --> 00:30:06,360 Speaker 1: I mean, and this is where I'm going to be 523 00:30:06,440 --> 00:30:09,560 Speaker 1: geographically biased given where I grew up. People want to work. 524 00:30:10,000 --> 00:30:11,440 Speaker 1: They don't want to they don't want to not have 525 00:30:11,520 --> 00:30:15,600 Speaker 1: a job. People want to work. It's a uniquely American spirit, 526 00:30:15,960 --> 00:30:20,040 Speaker 1: uh notion and and and and you know, and encouraging 527 00:30:20,080 --> 00:30:22,160 Speaker 1: people to want to work, to want to get back 528 00:30:22,200 --> 00:30:25,280 Speaker 1: to the office, to want to to to create, to 529 00:30:25,600 --> 00:30:28,920 Speaker 1: to elevate, to to to to really get on there 530 00:30:29,520 --> 00:30:33,160 Speaker 1: and contribute, to make a contribution to to society. That's American. 531 00:30:33,240 --> 00:30:36,400 Speaker 1: That's uniquely American. Congressman Andy Levin, always the pleasure, thanks 532 00:30:36,440 --> 00:30:39,520 Speaker 1: so much for stopping by and not talking about policy issues. 533 00:30:39,560 --> 00:30:42,440 Speaker 1: All policy is personal. That's Congressman Andy Levin. He's a 534 00:30:42,480 --> 00:30:45,560 Speaker 1: Democrat from Michigan. Jeannie Shonzana I thought that was, you know, 535 00:30:45,680 --> 00:30:47,920 Speaker 1: really interesting to hear, you know, he was just at 536 00:30:47,960 --> 00:30:50,800 Speaker 1: the White House yesterday and to hear what him and 537 00:30:50,920 --> 00:30:53,600 Speaker 1: Ron Klaine are talking about. I love that. I love 538 00:30:53,720 --> 00:30:56,200 Speaker 1: hit what the work he's done, the no worker left behind. 539 00:30:56,360 --> 00:30:58,440 Speaker 1: I I know he had to go. I wanted to 540 00:30:58,600 --> 00:31:01,520 Speaker 1: ask him he seems confidant that's included in the build 541 00:31:01,520 --> 00:31:05,120 Speaker 1: back better? Can that actually pass? And what components does 542 00:31:05,160 --> 00:31:08,760 Speaker 1: he see there? Because this issue of retraining and making 543 00:31:08,800 --> 00:31:12,080 Speaker 1: sure that we invest in human capital is critical for 544 00:31:12,160 --> 00:31:14,760 Speaker 1: the United States. I don't do. Do you get the 545 00:31:14,920 --> 00:31:17,160 Speaker 1: sense when you talk to your students and when you 546 00:31:17,320 --> 00:31:19,960 Speaker 1: when you talk to lawmakers that it's almost like they're 547 00:31:20,000 --> 00:31:23,200 Speaker 1: type cast and and they're they're removed from I don't 548 00:31:23,200 --> 00:31:26,360 Speaker 1: want to say reality, but from other people's reality of 549 00:31:26,880 --> 00:31:30,040 Speaker 1: what it's actually like out there right now to be 550 00:31:30,640 --> 00:31:34,040 Speaker 1: mid career and to to be suffering through unemployment at 551 00:31:34,080 --> 00:31:37,480 Speaker 1: a very uncertain time. You following me, I I do 552 00:31:37,680 --> 00:31:39,920 Speaker 1: follow you, and I know people who are and it 553 00:31:40,080 --> 00:31:43,320 Speaker 1: is devastating in every way, and I think it's very tough. 554 00:31:43,360 --> 00:31:45,440 Speaker 1: I'll tell you for students my that I work with 555 00:31:45,520 --> 00:31:48,400 Speaker 1: at the college at level, to understand that, because you 556 00:31:48,480 --> 00:31:50,480 Speaker 1: know at that age your whole future is ahead of you, 557 00:31:50,560 --> 00:31:53,520 Speaker 1: you can't imagine something like that happening. You get a job, 558 00:31:53,640 --> 00:31:55,760 Speaker 1: you feel like you're there. I was just telling them yesterday, 559 00:31:55,920 --> 00:31:58,200 Speaker 1: when you get a job, have an exit strategy because 560 00:31:58,240 --> 00:32:00,200 Speaker 1: it may not be forever, which is horrible a vice, 561 00:32:00,320 --> 00:32:03,800 Speaker 1: but you know, really good advice, actually, you know. But 562 00:32:04,120 --> 00:32:06,640 Speaker 1: I think it's hard for young people. But it's devastating, 563 00:32:06,680 --> 00:32:09,400 Speaker 1: as we know, for people mid mid mid level to 564 00:32:09,960 --> 00:32:12,040 Speaker 1: you know, our middle aged to to suffer that and 565 00:32:12,360 --> 00:32:14,880 Speaker 1: not to have the support of their community. So the 566 00:32:14,960 --> 00:32:18,720 Speaker 1: programs that he was describing are so important. It's dizzy 567 00:32:18,840 --> 00:32:21,080 Speaker 1: ng right now with so much going on over the 568 00:32:21,120 --> 00:32:24,720 Speaker 1: past year in the news flow. Uh, I feel that 569 00:32:24,840 --> 00:32:27,320 Speaker 1: one thing that the media can improve upon is to 570 00:32:27,480 --> 00:32:31,480 Speaker 1: really do a better job at telling the story of unemployment, 571 00:32:31,960 --> 00:32:36,600 Speaker 1: especially for mid career Americans and veterans for that matter, 572 00:32:36,960 --> 00:32:41,040 Speaker 1: and everyone. I'm Kevin Curreli, chief Washington correspondent for Bloomberg TV. 573 00:32:41,080 --> 00:32:58,600 Speaker 1: In Radio, this is Bloomberg. This is Bloomberg's Sound On 574 00:32:59,000 --> 00:33:04,960 Speaker 1: with Kevin Surril, Bloomberg Radio. My name is Kevin Currelian, 575 00:33:05,120 --> 00:33:09,280 Speaker 1: the chief Washington correspondent for Bloomberg Television and Bloomberg Radio, 576 00:33:09,800 --> 00:33:13,680 Speaker 1: accompanied none other by Jennie shown Zano Bloomberg Politics Policy 577 00:33:13,760 --> 00:33:16,360 Speaker 1: All Star. I gotta say, Jennie, I'm still reeling from 578 00:33:16,480 --> 00:33:22,200 Speaker 1: that reeling pun intended Bloomberg from that Blockbuster interview that 579 00:33:22,280 --> 00:33:26,120 Speaker 1: we did yesterday with the manager from Blockbuster in Bend, Oregon. 580 00:33:26,360 --> 00:33:30,240 Speaker 1: I really enjoyed that. She is amazing. I'm recommending that 581 00:33:30,400 --> 00:33:32,800 Speaker 1: to everybody. You threw me off my game yesterday, Kevin, 582 00:33:32,800 --> 00:33:35,160 Speaker 1: because I've watched it and I couldn't work. I just 583 00:33:35,240 --> 00:33:37,080 Speaker 1: wanted to watch it all day, which I did well. 584 00:33:37,120 --> 00:33:40,240 Speaker 1: Then last night I started the Varsity Blues documentary and 585 00:33:40,280 --> 00:33:42,520 Speaker 1: I'm halfway through that. I don't know if you've seen that. No, 586 00:33:42,960 --> 00:33:46,120 Speaker 1: I you put me the shame. I'm so behind. No, 587 00:33:46,440 --> 00:33:49,920 Speaker 1: I'd been like going down a documentary wormhole. And now 588 00:33:50,040 --> 00:33:53,920 Speaker 1: it's all of the college tuition or what you remember 589 00:33:54,000 --> 00:33:58,680 Speaker 1: Lori Laughlin Becky that I have to see as well. 590 00:33:58,840 --> 00:34:01,120 Speaker 1: I'm there's so many have to see it. So but 591 00:34:01,520 --> 00:34:06,000 Speaker 1: the blockbuster one, it's a really important story, um and 592 00:34:06,440 --> 00:34:09,360 Speaker 1: very nostalgic too. I worked there, so I think it. 593 00:34:09,520 --> 00:34:13,560 Speaker 1: I love what What's Your What's your Blockbuster memory? It 594 00:34:13,719 --> 00:34:17,520 Speaker 1: is a really important story about technology and capitalism, which 595 00:34:17,719 --> 00:34:20,640 Speaker 1: you know is a wave and sometimes doesn't reach every 596 00:34:20,719 --> 00:34:24,879 Speaker 1: crevice of our country. Uh at on the same timetable, 597 00:34:25,200 --> 00:34:27,480 Speaker 1: but I just thought it was really inspiring with what 598 00:34:27,600 --> 00:34:31,279 Speaker 1: Sandy's message was that even though technology and streaming and 599 00:34:31,800 --> 00:34:35,120 Speaker 1: uh internet access might have passed over for now, just 600 00:34:35,239 --> 00:34:37,480 Speaker 1: hasn't reached there yet. It to bend Oregon that that 601 00:34:37,760 --> 00:34:42,120 Speaker 1: entrepreneur spirit was still there and she was fighting, you know, 602 00:34:42,400 --> 00:34:45,439 Speaker 1: to keep her small business open. I love that I love, love, 603 00:34:45,560 --> 00:34:48,279 Speaker 1: love that, and she has done that beautifully and and 604 00:34:48,560 --> 00:34:51,960 Speaker 1: she It's an inspiring story really because the business seems 605 00:34:52,000 --> 00:34:55,000 Speaker 1: to be doing better than anybody could have expected. You know. 606 00:34:55,080 --> 00:34:57,840 Speaker 1: I remember back when I started out as a journalist, 607 00:34:58,400 --> 00:35:02,440 Speaker 1: like ten years ago. Um I went to Winslow, Arizona 608 00:35:03,040 --> 00:35:06,200 Speaker 1: on Root sixty six and I was a fellow at 609 00:35:06,200 --> 00:35:09,880 Speaker 1: the Arizona Republic, and they this town was really suffering 610 00:35:10,000 --> 00:35:15,440 Speaker 1: because of what had happened from just the Highway and 611 00:35:16,080 --> 00:35:19,440 Speaker 1: just again a similar situation where the cities were booming 612 00:35:19,480 --> 00:35:22,040 Speaker 1: and the small town was left behind, and the town 613 00:35:22,160 --> 00:35:26,760 Speaker 1: rallied together because of the lyric. Standing on a corner 614 00:35:26,840 --> 00:35:31,759 Speaker 1: in Winslow, Arizona by the Eagles, and I called up. 615 00:35:31,840 --> 00:35:33,040 Speaker 1: I called him up, and I said, I wonder a 616 00:35:33,040 --> 00:35:36,520 Speaker 1: story on it. And I drove up from Phoenix all 617 00:35:36,719 --> 00:35:38,600 Speaker 1: the way up to the middle. Well it's the middle 618 00:35:38,600 --> 00:35:42,080 Speaker 1: of somewhere, not the middle of nowhere, the middle of somewhere, Winslow, Arizona. 619 00:35:42,280 --> 00:35:45,120 Speaker 1: And I was so moved. I will never forget that 620 00:35:45,160 --> 00:35:47,080 Speaker 1: story for the rest of my life. Standing on a 621 00:35:47,120 --> 00:35:49,640 Speaker 1: corner and Winslow, Arizona and they boomed. Now it's like 622 00:35:49,680 --> 00:35:52,040 Speaker 1: a selfie station for lack of a better word, and 623 00:35:52,160 --> 00:35:54,200 Speaker 1: everyone goes and passes through and they have to stop 624 00:35:54,280 --> 00:35:57,400 Speaker 1: there to go to the famous corner on Root sixty 625 00:35:57,480 --> 00:36:01,680 Speaker 1: six and take their picture. So such a fine site 626 00:36:01,760 --> 00:36:05,279 Speaker 1: to see, such a good song. To take it easy? 627 00:36:05,840 --> 00:36:08,400 Speaker 1: Who needs to hear it today? Take it easily? Just 628 00:36:08,520 --> 00:36:10,600 Speaker 1: says it was written by Jackson Brown, and that just 629 00:36:10,680 --> 00:36:12,680 Speaker 1: blew my mind because I love him too so well. 630 00:36:13,320 --> 00:36:15,800 Speaker 1: Fun fact they also performed in Wins of Arizona, Okay, 631 00:36:16,000 --> 00:36:18,600 Speaker 1: and maybe the maybe that's why he threw it. We're 632 00:36:18,680 --> 00:36:21,960 Speaker 1: so off topic ratic. Our executive producers like, bring it 633 00:36:22,000 --> 00:36:25,160 Speaker 1: back to geopolitics. We can with Lester Months and Lester 634 00:36:25,880 --> 00:36:29,439 Speaker 1: he is principal at government relations firm b GR Group 635 00:36:29,520 --> 00:36:32,480 Speaker 1: and of course a former a senior policy advisor to 636 00:36:33,160 --> 00:36:37,160 Speaker 1: UM now former Senate Form Relations Committee Chairman Bob Corker Leicester, 637 00:36:37,560 --> 00:36:41,560 Speaker 1: How are you, Vin? Feeling great? Thanks for having me. 638 00:36:41,920 --> 00:36:43,960 Speaker 1: All right, let's talk to your politics because we do 639 00:36:44,120 --> 00:36:48,480 Speaker 1: have a sound bite from Secretary of State Anthony B. 640 00:36:48,520 --> 00:36:51,960 Speaker 1: Lincoln who says that the US will not force us 641 00:36:52,120 --> 00:36:54,800 Speaker 1: or them choice with China. This is interesting because this 642 00:36:54,880 --> 00:36:56,759 Speaker 1: whole thread for the show has been how do you 643 00:36:56,880 --> 00:37:00,640 Speaker 1: get allies and other countries around the world to come 644 00:37:00,840 --> 00:37:03,399 Speaker 1: back to the United States. So the Biden administration will 645 00:37:03,440 --> 00:37:06,560 Speaker 1: not demand that its allies make an utter them choice 646 00:37:06,600 --> 00:37:09,160 Speaker 1: between the U S and China. According to Secretary of 647 00:37:09,239 --> 00:37:12,680 Speaker 1: State Anthony Blinkin, Tony blaken And he made this speech 648 00:37:12,880 --> 00:37:16,200 Speaker 1: at the NATO headquarters in Brussels, uh and he offered 649 00:37:16,280 --> 00:37:21,000 Speaker 1: the most cognitant explanation yet for efforts to restore alliances 650 00:37:21,080 --> 00:37:23,839 Speaker 1: after four years of the previous administration. Take a listen 651 00:37:23,880 --> 00:37:26,080 Speaker 1: to the sound on this from Secretary of State Tony 652 00:37:26,120 --> 00:37:29,080 Speaker 1: blaken The United States will enforce our allies into a 653 00:37:29,440 --> 00:37:33,799 Speaker 1: user them choice with China will rely on innovation, not ultimatums. 654 00:37:34,200 --> 00:37:36,680 Speaker 1: So he's essentially saying We're gonna out innovate and that 655 00:37:36,800 --> 00:37:40,080 Speaker 1: will attract our allies. Is he right? Is he wrong? 656 00:37:40,360 --> 00:37:44,560 Speaker 1: Is he naive? Is he bullish? What do you think? Well, well, Kevin, 657 00:37:44,640 --> 00:37:47,080 Speaker 1: he's he's a diplomat and he's and he's trying to 658 00:37:47,160 --> 00:37:51,160 Speaker 1: be diplomatic, So good for him. I think the reality 659 00:37:51,360 --> 00:37:53,800 Speaker 1: is that with a lot of these key issues, it 660 00:37:54,080 --> 00:37:59,080 Speaker 1: is us for them and the Trump administration for its 661 00:37:59,200 --> 00:38:02,640 Speaker 1: for all its many faults. Did recognize that at a 662 00:38:02,719 --> 00:38:08,040 Speaker 1: certain points, particularly with telecommunications technology, countries need to choose 663 00:38:08,600 --> 00:38:11,120 Speaker 1: not the Chinese model. They need to come West. They 664 00:38:11,160 --> 00:38:17,319 Speaker 1: need to adopt our standards, are our open system, our 665 00:38:17,600 --> 00:38:21,759 Speaker 1: non government controlled companies, and they have to say no 666 00:38:21,960 --> 00:38:25,080 Speaker 1: to Huawei and Zte and the Chinese options. So while 667 00:38:25,160 --> 00:38:27,600 Speaker 1: while I totally understand what Secretary Blincoln is saying, he's 668 00:38:27,640 --> 00:38:29,440 Speaker 1: being a good diplomat and he's trying to put on 669 00:38:29,520 --> 00:38:32,520 Speaker 1: a very happy face, the reality is, and a lot 670 00:38:32,640 --> 00:38:35,400 Speaker 1: of these questions, it is us or them, And I 671 00:38:35,560 --> 00:38:39,040 Speaker 1: hope that behind the scenes the administration knows that and 672 00:38:39,120 --> 00:38:42,040 Speaker 1: they're pushing that tough decision that the Trump administration took 673 00:38:42,120 --> 00:38:44,319 Speaker 1: some shots, but they actually ended up with some good 674 00:38:44,360 --> 00:38:46,719 Speaker 1: results in key places. They got the British off of 675 00:38:46,760 --> 00:38:49,719 Speaker 1: their willingness to adopt Huawei uh and they got them 676 00:38:49,719 --> 00:38:51,960 Speaker 1: in the right spot. That the Biden administration has to 677 00:38:52,120 --> 00:38:54,440 Speaker 1: keep doing that good work while putting a, you know, 678 00:38:54,560 --> 00:38:58,319 Speaker 1: a nicer face on it. Lester, It's it's so good 679 00:38:58,360 --> 00:39:00,920 Speaker 1: to talk to you. I wanted to ask you what 680 00:39:01,040 --> 00:39:05,720 Speaker 1: you made of the de Biden administration prior to meeting 681 00:39:05,760 --> 00:39:09,480 Speaker 1: with China, starting with South Korea, Japan, and India, and 682 00:39:09,600 --> 00:39:12,760 Speaker 1: what kind of sort of sign that's sent to the Chinese. 683 00:39:14,239 --> 00:39:17,480 Speaker 1: I thought, I thought it was very smart. I applaud 684 00:39:17,560 --> 00:39:20,759 Speaker 1: them for doing that. It's the uh, it would have 685 00:39:20,840 --> 00:39:24,759 Speaker 1: been a huge faux paw to do it otherwise. And 686 00:39:24,840 --> 00:39:27,600 Speaker 1: I think in part, you know, when when Tony Blinkin 687 00:39:27,719 --> 00:39:30,480 Speaker 1: and Jake Sullivan got to Anchorage, Alaska and met with 688 00:39:30,680 --> 00:39:34,200 Speaker 1: Yanguire and the other Chinese officials, the reason the Chinese 689 00:39:34,239 --> 00:39:38,640 Speaker 1: officials were, you know, kind of diplomatically hostile. They weren't 690 00:39:38,680 --> 00:39:40,680 Speaker 1: really hostile, but they were. They were a little nasty 691 00:39:41,600 --> 00:39:45,080 Speaker 1: is for exactly that reason, because the US through there, 692 00:39:46,040 --> 00:39:49,560 Speaker 1: the symbolism of their travel reminded people that it's Japan, 693 00:39:49,760 --> 00:39:54,320 Speaker 1: it's Korea, it's India, Australia that are our key allies 694 00:39:54,360 --> 00:39:56,960 Speaker 1: in the Asia Pacific, in the Indo Pacific, and that 695 00:39:57,480 --> 00:39:59,920 Speaker 1: and that is not the model that China wants to 696 00:40:00,000 --> 00:40:02,880 Speaker 1: world to see, but it's it's the model that that 697 00:40:03,040 --> 00:40:06,160 Speaker 1: has evolved. I mean, and and from your perspective, just 698 00:40:06,640 --> 00:40:11,279 Speaker 1: how crucial does the Shinjang province play in in the 699 00:40:11,440 --> 00:40:14,239 Speaker 1: next year and a half, especially with the Olympics coming up. 700 00:40:14,239 --> 00:40:16,000 Speaker 1: I mean, you and I both talked about this on 701 00:40:16,120 --> 00:40:19,120 Speaker 1: and offline, about how there's an increase in lawmakers on 702 00:40:19,280 --> 00:40:21,600 Speaker 1: both sides of the Aisle who are deeply skeptical about 703 00:40:21,640 --> 00:40:25,400 Speaker 1: whether or not Beijing ought to have the Olympics just 704 00:40:25,520 --> 00:40:28,640 Speaker 1: simply because of the human rights abuses. Now you've got 705 00:40:28,680 --> 00:40:33,440 Speaker 1: President Biden issuing those executive orders. Uh and in tangent 706 00:40:33,600 --> 00:40:36,360 Speaker 1: with the EU and the UK. Is this a is 707 00:40:36,440 --> 00:40:39,359 Speaker 1: this a broader narrative that we're seeing a merged here? 708 00:40:41,040 --> 00:40:44,560 Speaker 1: You know, Kevin, it's a great question. I think it 709 00:40:44,680 --> 00:40:47,960 Speaker 1: was just my personal idiosyncratic view. I think the US 710 00:40:48,200 --> 00:40:51,400 Speaker 1: and everyone else should go to the Olympics and highlight 711 00:40:51,440 --> 00:40:55,880 Speaker 1: the Jinjang issue. Wow, there was no better shot. This 712 00:40:56,080 --> 00:41:00,360 Speaker 1: is interesting to me. Go ahead, was my industry credit you? 713 00:41:00,520 --> 00:41:03,800 Speaker 1: There was no better shot at um at the Nazi 714 00:41:03,920 --> 00:41:07,520 Speaker 1: regime in Berlin in six when Jesse Owens is winning 715 00:41:07,560 --> 00:41:09,839 Speaker 1: gold medal after gold medal. You know, it just put 716 00:41:09,960 --> 00:41:12,759 Speaker 1: the lie to the myth of the the ri and 717 00:41:13,080 --> 00:41:15,680 Speaker 1: roast and all that nonsense they're working. What a great 718 00:41:15,719 --> 00:41:19,120 Speaker 1: opportunity for our diverse we have the most diverse group 719 00:41:19,160 --> 00:41:21,320 Speaker 1: of athletes in the world, to send them to China 720 00:41:21,719 --> 00:41:23,759 Speaker 1: and to show them how you treat each other, that 721 00:41:23,840 --> 00:41:26,960 Speaker 1: we treat each other with respect, openly, honestly. Sometimes we 722 00:41:27,040 --> 00:41:29,640 Speaker 1: have disagreements, but we work them out. We don't repress 723 00:41:29,760 --> 00:41:32,000 Speaker 1: one group. You know. Let's let's go there and be 724 00:41:32,120 --> 00:41:35,680 Speaker 1: the example and really show up the hosts. We did that. 725 00:41:36,640 --> 00:41:38,160 Speaker 1: I don't see why we can't do it next year. 726 00:41:38,600 --> 00:41:40,840 Speaker 1: Is it possible, though, I mean in this climate, in 727 00:41:40,960 --> 00:41:45,560 Speaker 1: this fragmented climate. Think of think of the American athletes 728 00:41:45,719 --> 00:41:49,480 Speaker 1: in Mexico City, you know, raising their fists on the stand. Uh. 729 00:41:49,640 --> 00:41:52,239 Speaker 1: You know, it just takes a moment, It just takes 730 00:41:52,280 --> 00:41:55,480 Speaker 1: a photograph. It just takes you know, a brave person 731 00:41:55,600 --> 00:41:57,960 Speaker 1: in the right spot at the right time to send 732 00:41:58,040 --> 00:41:59,920 Speaker 1: the message that the rest of the world will understand. 733 00:42:00,760 --> 00:42:03,040 Speaker 1: And and for another, you know, I think the athletes 734 00:42:03,080 --> 00:42:07,200 Speaker 1: shouldn't have to suffer, uh for for politics. Let's let 735 00:42:07,280 --> 00:42:09,719 Speaker 1: them go compete. Let's show how good we are, Let's 736 00:42:09,719 --> 00:42:13,120 Speaker 1: show how magnanimous we are. Uh. And let's give a 737 00:42:13,320 --> 00:42:15,960 Speaker 1: let's give a ray of hope to Jim Jane Promis. 738 00:42:16,280 --> 00:42:18,640 Speaker 1: I've got I hold no candle for the Chinese government. 739 00:42:18,960 --> 00:42:20,960 Speaker 1: I don't want to let them breathe the benefits of this, 740 00:42:21,160 --> 00:42:23,239 Speaker 1: but I think we can use this against them. It's 741 00:42:23,280 --> 00:42:26,600 Speaker 1: about time we flipped the script all right, less than 742 00:42:26,640 --> 00:42:29,560 Speaker 1: months in principle of Government relations from b GRGRAP former 743 00:42:29,600 --> 00:42:33,000 Speaker 1: senior advisor to the former Center Form Relations Committee Chairman 744 00:42:33,080 --> 00:42:36,239 Speaker 1: Bob Corker marches Women's History Month, and Bloomberg Radio is 745 00:42:36,280 --> 00:42:37,719 Speaker 1: looking back at some of those who have played a 746 00:42:37,800 --> 00:42:40,680 Speaker 1: vital role in American history. Here with today's installment is 747 00:42:40,719 --> 00:42:44,080 Speaker 1: Bloomberg's Fernita Young. One This day in Women's History, in 748 00:42:45,080 --> 00:42:49,120 Speaker 1: Shannon Lucid becomes the first female US astro not to 749 00:42:49,239 --> 00:42:52,480 Speaker 1: live aboard a space station. She entered the Russian space 750 00:42:52,520 --> 00:42:56,080 Speaker 1: station near from the U S Space Shuttle Atlantis, and 751 00:42:56,200 --> 00:42:59,600 Speaker 1: while on board the mirror, Lucid helped complete several physical 752 00:42:59,680 --> 00:43:03,000 Speaker 1: science said life science experiments. She returned to Earth on 753 00:43:03,040 --> 00:43:06,640 Speaker 1: September twenty six of that year after completing her fifth mission. 754 00:43:06,920 --> 00:43:09,959 Speaker 1: Lucid had logged more than two hundred twenty three days 755 00:43:10,000 --> 00:43:13,400 Speaker 1: in space. She received her Bachelor of Science degree in 756 00:43:13,640 --> 00:43:16,800 Speaker 1: chemistry from the University of Oklahoma. Then she earned a 757 00:43:16,920 --> 00:43:20,920 Speaker 1: Masters of Science and Doctor of Philosophy in biochemistry. That's 758 00:43:20,960 --> 00:43:24,400 Speaker 1: today in Women's History, I'm nied to Young Bloomberg Radio. 759 00:43:24,960 --> 00:43:27,799 Speaker 1: Is it raining in New York? Guinney is all day, 760 00:43:27,960 --> 00:43:29,960 Speaker 1: and I have eagles on my brain now, so all 761 00:43:30,080 --> 00:43:32,520 Speaker 1: night I'll LEAs sing and take it easy, good, take 762 00:43:32,600 --> 00:43:35,520 Speaker 1: it easy. Everybody think it's such a great song. Standing 763 00:43:35,600 --> 00:43:37,560 Speaker 1: on a corner and winds Arizona. I want to go 764 00:43:37,640 --> 00:43:40,319 Speaker 1: to Arizona. She got. I don't know if Rick knows 765 00:43:40,360 --> 00:43:42,920 Speaker 1: any places in Arizona. We'll have to ask him. I'm 766 00:43:42,960 --> 00:43:44,120 Speaker 1: Kevin Sirley. This is Bloomberg