1 00:00:00,160 --> 00:00:03,360 Speaker 1: This is Bloomberg Wall Street Week. What's the state of 2 00:00:03,400 --> 00:00:06,360 Speaker 1: corporate governance? The deficit is a real issue. The use 3 00:00:06,400 --> 00:00:09,800 Speaker 1: economy continues to send mixed signals to the financial stories 4 00:00:09,800 --> 00:00:12,680 Speaker 1: that cheap our world fed action to con concerns over 5 00:00:12,760 --> 00:00:16,240 Speaker 1: dollar liquidity and encouraging China data. The five hundred wealthiest 6 00:00:16,239 --> 00:00:18,360 Speaker 1: people in the world. Through the eyes of the most 7 00:00:18,480 --> 00:00:22,520 Speaker 1: influential voices Larry Summers, the former Treasury Secretary, Star CEO, 8 00:00:22,640 --> 00:00:26,360 Speaker 1: Kevin Johnson sec Chairman j Clayton. Bloomberg wool Street Week 9 00:00:26,480 --> 00:00:30,520 Speaker 1: with David Weston from Bloomberg Radio. President Trump says we 10 00:00:30,600 --> 00:00:33,360 Speaker 1: have to run the risk, and the markets appear willing 11 00:00:33,400 --> 00:00:36,840 Speaker 1: to do just that. This is Bloomberg Wall Street Week. 12 00:00:36,880 --> 00:00:40,800 Speaker 1: I'm David Weston. Welcome back. The Senate is back in session, 13 00:00:41,080 --> 00:00:43,400 Speaker 1: and as much as Congress has done already to help 14 00:00:43,440 --> 00:00:46,560 Speaker 1: the economy, there's more work left to be done, including 15 00:00:46,680 --> 00:00:49,960 Speaker 1: assistance to state and local governments to help the most 16 00:00:50,040 --> 00:00:54,640 Speaker 1: vulnerable to the pandemic. Unfortunately, they often include the poor 17 00:00:55,040 --> 00:00:57,360 Speaker 1: and people of color. But if there is to be 18 00:00:57,440 --> 00:01:00,720 Speaker 1: another major move to shore of the economy, Speaker Nancy 19 00:01:00,720 --> 00:01:02,800 Speaker 1: Pelosi wants to make sure it starts in the House 20 00:01:02,880 --> 00:01:06,200 Speaker 1: of Representatives and we asked her why, Well, let me 21 00:01:06,240 --> 00:01:08,319 Speaker 1: just say that I'm very proud that our first four 22 00:01:08,360 --> 00:01:14,240 Speaker 1: bills on this subject have been all bipartisan, overwhelmingly bipartisan. UH. 23 00:01:14,319 --> 00:01:16,640 Speaker 1: As we take up the fifth bill, we're following the 24 00:01:16,720 --> 00:01:19,600 Speaker 1: path of what was in the other bills. For example, 25 00:01:19,640 --> 00:01:22,199 Speaker 1: we had state and local in the first CARES bill. 26 00:01:22,319 --> 00:01:25,520 Speaker 1: Here's one and that is what we have in this bill. 27 00:01:25,760 --> 00:01:31,759 Speaker 1: Honor our heroes, police and fire, healthcare providers, transit workers, teachers, 28 00:01:32,080 --> 00:01:34,759 Speaker 1: all of the people who postal workers, all the people 29 00:01:34,840 --> 00:01:38,959 Speaker 1: who make our system work and in many cases risk 30 00:01:39,080 --> 00:01:41,959 Speaker 1: their lives to save other people's lives, and now they 31 00:01:41,959 --> 00:01:46,039 Speaker 1: may lose their job because of the revenue loss as 32 00:01:46,040 --> 00:01:50,600 Speaker 1: well as coronavirus costs that states and menuntipalities are are 33 00:01:51,400 --> 00:01:55,800 Speaker 1: UH sufferings. A b that we if we are open up. 34 00:01:55,880 --> 00:01:59,640 Speaker 1: The key to opening up, to unlocking the lockdown is testing, 35 00:01:59,720 --> 00:02:03,520 Speaker 1: test sting, testing, tracing, tracing, racing, treatment, treatment. We have 36 00:02:03,680 --> 00:02:08,520 Speaker 1: to do that. It's science requires it. Everyone agrees that 37 00:02:08,560 --> 00:02:11,359 Speaker 1: we have to. It's a health issue that is going 38 00:02:11,400 --> 00:02:15,600 Speaker 1: to solve the fiscal of the financial UH issue as well. 39 00:02:15,960 --> 00:02:18,320 Speaker 1: And then third, we want to put money in people's 40 00:02:18,320 --> 00:02:22,840 Speaker 1: pockets on our hero state and local testing, testing, testing, Uh, 41 00:02:22,919 --> 00:02:25,560 Speaker 1: let's make sure that we address the disparities and all 42 00:02:25,600 --> 00:02:31,079 Speaker 1: the rest by identifying really where this uh cruel virus 43 00:02:31,320 --> 00:02:36,000 Speaker 1: is creeping out there. It's it's it's so scary. And 44 00:02:36,040 --> 00:02:39,680 Speaker 1: then third, putting money in people's pockets. What do we 45 00:02:39,720 --> 00:02:43,440 Speaker 1: do unemployment insurance, whether we do issues that relate to 46 00:02:43,480 --> 00:02:46,280 Speaker 1: direct payments in the rest of that, that's what we 47 00:02:46,360 --> 00:02:48,519 Speaker 1: have to do. Now. We had all three of those 48 00:02:48,600 --> 00:02:51,520 Speaker 1: in the previous bills. So this is not plowing any 49 00:02:51,560 --> 00:02:55,440 Speaker 1: new territory. It's digging deeper. It's more money for example, 50 00:02:55,520 --> 00:02:58,400 Speaker 1: state and local. It has the support of Republican and 51 00:02:58,480 --> 00:03:02,639 Speaker 1: Democratic governors through out the country, also state of the 52 00:03:02,760 --> 00:03:08,160 Speaker 1: municipalities and counties, bipartisan support throughout the country. It's a 53 00:03:08,160 --> 00:03:12,520 Speaker 1: big ticket because we are it's a big challenge. It's 54 00:03:12,680 --> 00:03:16,919 Speaker 1: only for coronavirus. That is outlays and revenue loss. Now, 55 00:03:16,960 --> 00:03:19,200 Speaker 1: there are some issues that we just don't that are 56 00:03:19,240 --> 00:03:22,360 Speaker 1: philosophical that we haven't been able to crack, and that 57 00:03:22,560 --> 00:03:28,400 Speaker 1: is food stamps SNAP, the SNAP program. For some reason, 58 00:03:28,480 --> 00:03:30,920 Speaker 1: that's not something that we can get the other side 59 00:03:31,000 --> 00:03:32,919 Speaker 1: to agree on. But we have to do it. In 60 00:03:33,000 --> 00:03:36,920 Speaker 1: American people know that we have to do that. Brookings 61 00:03:36,920 --> 00:03:39,480 Speaker 1: Institute just put out of report that moms say that 62 00:03:40,040 --> 00:03:43,840 Speaker 1: one in four children do not have any they have 63 00:03:44,120 --> 00:03:46,840 Speaker 1: our food insecure, one in four children in our country. 64 00:03:47,440 --> 00:03:50,160 Speaker 1: That it's always been a problem, more than one in five, 65 00:03:50,240 --> 00:03:53,920 Speaker 1: one in six. Now it's exacerbated by all of this. 66 00:03:54,000 --> 00:03:58,800 Speaker 1: So again, there's some issues that are traditional debates that 67 00:03:58,840 --> 00:04:01,440 Speaker 1: we have, but they shouldn't be any question that we 68 00:04:01,480 --> 00:04:08,000 Speaker 1: would have now. Foot stamps, unemployment insurance, direct payments, so 69 00:04:08,040 --> 00:04:11,000 Speaker 1: many of these things serve as a stimulus to the 70 00:04:11,000 --> 00:04:15,800 Speaker 1: economy as well. So uh, but the secret the Chairman 71 00:04:15,840 --> 00:04:19,119 Speaker 1: of the FED said, think big. Interest rates are so low, 72 00:04:19,320 --> 00:04:23,400 Speaker 1: think big, And we're taking his guidance on that. Mad speaking, 73 00:04:23,480 --> 00:04:25,200 Speaker 1: you said that for some reason you can't get the 74 00:04:25,240 --> 00:04:27,640 Speaker 1: Republican side to move on food stamps. Can they get 75 00:04:27,680 --> 00:04:29,360 Speaker 1: you to move on some of the things that they want, 76 00:04:29,400 --> 00:04:32,159 Speaker 1: such as payroll tax that's something President Trump keeps talking about, 77 00:04:32,279 --> 00:04:34,560 Speaker 1: even capital gains tax. Are you willing to put on 78 00:04:34,600 --> 00:04:38,720 Speaker 1: the table at least some adjustments and taxation. Well, let 79 00:04:38,720 --> 00:04:42,039 Speaker 1: me just say this, if you want to compare the 80 00:04:42,160 --> 00:04:44,960 Speaker 1: need for us to change the capital gains tax, which 81 00:04:45,080 --> 00:04:49,279 Speaker 1: once again, once again UH ignores the fact that there 82 00:04:49,279 --> 00:04:52,599 Speaker 1: are people in our country that are hungry, and that 83 00:04:52,680 --> 00:04:57,120 Speaker 1: there is some equivalence to that. I respectfully disagree. There 84 00:04:57,160 --> 00:05:01,159 Speaker 1: are certain things that are urgent, the urgent to have 85 00:05:01,240 --> 00:05:04,640 Speaker 1: a discussion of tax policy. Save that for another day 86 00:05:04,839 --> 00:05:07,320 Speaker 1: and do it in a bipartisan way. But don't draw 87 00:05:07,320 --> 00:05:10,040 Speaker 1: any lines in the sand. We're not he shouldn't. Do 88 00:05:10,040 --> 00:05:11,919 Speaker 1: you have a sense at this point, I understand the 89 00:05:11,920 --> 00:05:13,599 Speaker 1: plan isn't put together. You have a sense of how 90 00:05:13,680 --> 00:05:16,160 Speaker 1: big this might be? How big is this bread box? 91 00:05:16,200 --> 00:05:18,480 Speaker 1: Do we think big? It would be big? Well, see, 92 00:05:18,520 --> 00:05:22,000 Speaker 1: for example, when we went from UH state and local, 93 00:05:22,640 --> 00:05:26,160 Speaker 1: that was how we embraced it before. Now it's state 94 00:05:27,080 --> 00:05:31,039 Speaker 1: and local separate, and so it will practically doubled what 95 00:05:31,080 --> 00:05:34,000 Speaker 1: we would be doing. And that's a big ticket item. 96 00:05:34,640 --> 00:05:38,840 Speaker 1: We're doing that the testing in a way that has 97 00:05:38,880 --> 00:05:41,640 Speaker 1: a strategic plan. That's what we asked them to do. 98 00:05:41,880 --> 00:05:45,039 Speaker 1: In the last bill. We had testing, testing, testing, in 99 00:05:45,080 --> 00:05:48,039 Speaker 1: our March fourth bill that passed the House that day. 100 00:05:48,279 --> 00:05:50,920 Speaker 1: We had testing in the most recent bill. We still 101 00:05:51,000 --> 00:05:55,120 Speaker 1: do not have what the scientists tell us is necessary 102 00:05:55,360 --> 00:05:59,359 Speaker 1: to reach out into the communities with a band of 103 00:05:59,440 --> 00:06:02,560 Speaker 1: people to do the tracing so that we can rid 104 00:06:02,600 --> 00:06:07,279 Speaker 1: ourselves of this plague, and that costs money. And then 105 00:06:07,320 --> 00:06:10,120 Speaker 1: the direct payments, that's that's a big ticket item, and 106 00:06:10,160 --> 00:06:13,440 Speaker 1: that's what we are working on now. Where do we 107 00:06:13,480 --> 00:06:17,240 Speaker 1: get the most return for the best help to our 108 00:06:17,720 --> 00:06:22,799 Speaker 1: people who are desperate. People are desperate, they're heartbroken because 109 00:06:22,800 --> 00:06:26,600 Speaker 1: of loss of life, threat to life, but so many 110 00:06:26,640 --> 00:06:32,000 Speaker 1: of their aspirations professionally, businesses, a community involvement in the 111 00:06:32,000 --> 00:06:36,000 Speaker 1: rest are so stifled by what's happening. And we really 112 00:06:36,040 --> 00:06:38,800 Speaker 1: have to address that, and if we don't, it's going 113 00:06:38,839 --> 00:06:41,839 Speaker 1: to cost us a lot more money. So this is 114 00:06:41,839 --> 00:06:44,800 Speaker 1: a prevention in many ways. That was Speaker of the 115 00:06:44,800 --> 00:06:48,560 Speaker 1: House Nancy Pelosi coming up on Wall Street Week. This 116 00:06:48,680 --> 00:06:52,159 Speaker 1: economic crisis has shown us some of the glaring inequalities 117 00:06:52,200 --> 00:06:55,760 Speaker 1: in financial services in this country. We talk with MasterCard 118 00:06:55,880 --> 00:06:59,080 Speaker 1: Vice chairman Michael Frohman about what can be done about 119 00:06:59,120 --> 00:07:08,119 Speaker 1: those that. Next on Wall Street Week on Bloomberg This 120 00:07:08,600 --> 00:07:13,119 Speaker 1: is Bloomberg Will Street Week with David Weston from Bloomberg Radio. 121 00:07:13,480 --> 00:07:18,400 Speaker 1: When Congress approved checks to most Americans, some people got 122 00:07:18,440 --> 00:07:21,160 Speaker 1: their payments much faster than others did. And independent on 123 00:07:21,200 --> 00:07:24,440 Speaker 1: whether they had direct deposit relations with the I R S. 124 00:07:24,720 --> 00:07:27,040 Speaker 1: It pointed once again to the plight of millions of 125 00:07:27,080 --> 00:07:31,160 Speaker 1: Americans who are unbanked or underbanked. We talked with MasterCard 126 00:07:31,200 --> 00:07:34,000 Speaker 1: Vice chairman Michael Frohman about the nature of the problem 127 00:07:34,160 --> 00:07:37,200 Speaker 1: and what can be done about it. About five years ago, 128 00:07:37,280 --> 00:07:40,720 Speaker 1: MasterCard committed to bringing half a billion people who have 129 00:07:40,840 --> 00:07:44,320 Speaker 1: been excluded from the financial system into the system. We 130 00:07:44,400 --> 00:07:47,240 Speaker 1: achieved that goal last quarter about nine months. I had 131 00:07:47,240 --> 00:07:50,160 Speaker 1: a schedule and we decided that now more than ever, 132 00:07:50,640 --> 00:07:52,920 Speaker 1: it's important to make sure people have access to the 133 00:07:52,960 --> 00:07:56,080 Speaker 1: digital economy, so we doubled down. We've raised that goal 134 00:07:56,120 --> 00:08:00,720 Speaker 1: now to a billion between now and also said it's 135 00:08:00,720 --> 00:08:04,680 Speaker 1: really important to bring fifty million micro and small businesses 136 00:08:05,160 --> 00:08:08,000 Speaker 1: into the economy. And because it continues to be a 137 00:08:08,040 --> 00:08:11,200 Speaker 1: gender gap when it comes to financial inclusion, women tend 138 00:08:11,200 --> 00:08:14,400 Speaker 1: to lack about nine percent behind men in terms of 139 00:08:14,400 --> 00:08:17,200 Speaker 1: being included, we're gonna we're gonna focus in particularly on 140 00:08:17,240 --> 00:08:21,120 Speaker 1: reaching twenty five million women owned or women run businesses 141 00:08:21,560 --> 00:08:24,040 Speaker 1: around the world. So, Michael, give us a sense of 142 00:08:24,040 --> 00:08:25,840 Speaker 1: the geography first, I mean, how many of these are 143 00:08:25,840 --> 00:08:28,720 Speaker 1: the United States? How many there are overseas because Massacret 144 00:08:28,720 --> 00:08:31,360 Speaker 1: of course is a global company. Well, you know, they're 145 00:08:31,360 --> 00:08:34,000 Speaker 1: about a one point seven billion people around the world 146 00:08:34,040 --> 00:08:37,400 Speaker 1: who were still excluded from the financial system. Most of 147 00:08:37,440 --> 00:08:39,720 Speaker 1: them are in developing countries, but there are people right 148 00:08:39,720 --> 00:08:42,080 Speaker 1: here in the United States and in Europe who were 149 00:08:42,120 --> 00:08:46,240 Speaker 1: also excluded, people who are unbanked or underbanked. Their estimates 150 00:08:46,280 --> 00:08:48,400 Speaker 1: as in the US is somewhere between thirty and forty 151 00:08:48,440 --> 00:08:52,800 Speaker 1: million people who have no formal relationship to the financial system. 152 00:08:53,120 --> 00:08:54,760 Speaker 1: So a lot of what we're focused on, and when 153 00:08:54,800 --> 00:08:56,840 Speaker 1: it will vary from country to country as it has 154 00:08:56,840 --> 00:09:00,400 Speaker 1: over the last five years, is figuring out how best 155 00:09:00,440 --> 00:09:04,520 Speaker 1: to reach them. Sometimes it will be through government disbursement programs, 156 00:09:04,559 --> 00:09:09,080 Speaker 1: and for example, millions of people will get their economic 157 00:09:09,320 --> 00:09:13,360 Speaker 1: payments from the government on one of our cards. Um 158 00:09:13,480 --> 00:09:16,680 Speaker 1: Sometimes it will be working with with fin techs who 159 00:09:16,720 --> 00:09:20,040 Speaker 1: have a capability of bringing people into the financial system 160 00:09:20,559 --> 00:09:23,719 Speaker 1: that didn't exist five or ten years ago. Or it 161 00:09:23,720 --> 00:09:26,719 Speaker 1: will be partnering with other companies. We have a partnership 162 00:09:27,200 --> 00:09:29,800 Speaker 1: with a group called Annoymans, which is a big coffee 163 00:09:29,800 --> 00:09:33,840 Speaker 1: trading group, to help put their workers, for example in Mexico, 164 00:09:34,600 --> 00:09:37,679 Speaker 1: on digital payments, and it means that the worker, the 165 00:09:37,960 --> 00:09:41,280 Speaker 1: grower of the of the coffee, is getting more for 166 00:09:41,679 --> 00:09:44,360 Speaker 1: her product than she might have gotten before because we've 167 00:09:44,360 --> 00:09:47,720 Speaker 1: eliminated the need to go through middlemen and go through cash. Michael, 168 00:09:47,760 --> 00:09:50,640 Speaker 1: you mentioned small businesses as as part of this UH. 169 00:09:50,720 --> 00:09:52,320 Speaker 1: It gives us a sense of what you're seeing with 170 00:09:52,400 --> 00:09:55,040 Speaker 1: MasterCard by the extent of which small businesses are drawing 171 00:09:55,040 --> 00:09:57,199 Speaker 1: down on their credit as a practicmounter, putting it on 172 00:09:57,240 --> 00:09:59,760 Speaker 1: their credit card, or for that matter, just not buying 173 00:09:59,760 --> 00:10:03,120 Speaker 1: things at all, maybe with reduced activity. Well, we're certainly 174 00:10:03,160 --> 00:10:07,640 Speaker 1: seeing uh an impact here. People are focusing on essential 175 00:10:07,679 --> 00:10:12,559 Speaker 1: purchases like groceries and and and pharmacy purchases. UH there's 176 00:10:12,600 --> 00:10:16,640 Speaker 1: a big movement from brick and mortar to e commerce. 177 00:10:17,600 --> 00:10:19,280 Speaker 1: But even where people where there is brick and mortar, 178 00:10:19,280 --> 00:10:22,040 Speaker 1: where people are going face to face, we're seeing a 179 00:10:22,080 --> 00:10:25,359 Speaker 1: big rise and what we call contact with payments about 180 00:10:25,880 --> 00:10:29,199 Speaker 1: growth around the world and people going and just tapping 181 00:10:29,200 --> 00:10:31,079 Speaker 1: their card because they don't want to hand over their 182 00:10:31,080 --> 00:10:33,560 Speaker 1: card to somebody, they don't want to handle cash, they 183 00:10:33,600 --> 00:10:35,560 Speaker 1: don't want to have to put in a pin number, 184 00:10:35,840 --> 00:10:37,760 Speaker 1: and so being able to just tap and go is 185 00:10:37,800 --> 00:10:42,760 Speaker 1: a safe and secure way of making payments. Small businesses, 186 00:10:42,760 --> 00:10:46,280 Speaker 1: as you said, are particularly hit by this crisis. We've 187 00:10:46,280 --> 00:10:49,640 Speaker 1: committed two hundred and fifty million dollars of products and 188 00:10:49,720 --> 00:10:53,440 Speaker 1: services and financial support over the next five years too 189 00:10:53,440 --> 00:10:57,560 Speaker 1: small and medium sized businesses to help them digitize, bring 190 00:10:57,600 --> 00:11:01,120 Speaker 1: them into the e commerce environment, make sure that their 191 00:11:01,120 --> 00:11:05,480 Speaker 1: transactions are safe and secure from cyber attack and from fraud. 192 00:11:05,840 --> 00:11:08,200 Speaker 1: And that's going to be an area of continued focus 193 00:11:08,760 --> 00:11:11,320 Speaker 1: in the United States and around the world. Michael, One 194 00:11:11,320 --> 00:11:13,839 Speaker 1: of the questions we're asking almost all of us right 195 00:11:13,840 --> 00:11:16,760 Speaker 1: now is to what extent is this pandemic changing what 196 00:11:16,800 --> 00:11:18,720 Speaker 1: we're going to be as opposed to just making us 197 00:11:18,720 --> 00:11:21,200 Speaker 1: get there faster. Talk about the contactless payment is at 198 00:11:21,240 --> 00:11:22,880 Speaker 1: some place we're going to get anyway, and to what 199 00:11:22,920 --> 00:11:26,160 Speaker 1: extent has that really been rushed because of this pandemic. Well, 200 00:11:26,200 --> 00:11:31,040 Speaker 1: I think this crisis has underscore just how important digitization 201 00:11:31,240 --> 00:11:35,400 Speaker 1: is for individuals to be able to transact, to to 202 00:11:35,440 --> 00:11:38,560 Speaker 1: get payments from their government, for small businesses to be 203 00:11:38,600 --> 00:11:43,040 Speaker 1: able to be in contact with their customers through through 204 00:11:43,080 --> 00:11:46,040 Speaker 1: e commerce, and to to do transactions in some form 205 00:11:46,679 --> 00:11:51,000 Speaker 1: other than cash. So that trend was already underway, but 206 00:11:51,080 --> 00:11:53,959 Speaker 1: I think this has accelerated it um and certainly in 207 00:11:53,960 --> 00:11:57,120 Speaker 1: the United States, which had lagged behind a number of 208 00:11:57,200 --> 00:11:59,960 Speaker 1: other markets when it came to contactless payments, we've seen 209 00:12:00,000 --> 00:12:03,440 Speaker 1: a dramatic increase in demand for contact less. One of 210 00:12:03,440 --> 00:12:04,840 Speaker 1: the things that we've heard a lot about from the 211 00:12:04,840 --> 00:12:08,360 Speaker 1: major banks, in part is reserving for possible bad credit, 212 00:12:08,440 --> 00:12:10,720 Speaker 1: because people are going to have a tougher time paying 213 00:12:10,720 --> 00:12:13,280 Speaker 1: their credit cards off when they come do given the 214 00:12:13,320 --> 00:12:15,920 Speaker 1: fact they're losing their jobs. As a practical matter, what 215 00:12:15,960 --> 00:12:18,679 Speaker 1: are you seeing at MasterCard and what adjustments are you 216 00:12:18,760 --> 00:12:21,640 Speaker 1: making for that? So, David, I'd like to say that 217 00:12:23,000 --> 00:12:25,720 Speaker 1: Apple is not a fruit, Amazon is not a river, 218 00:12:25,840 --> 00:12:28,400 Speaker 1: and MasterCard is not a credit card company. It's actually 219 00:12:28,400 --> 00:12:31,560 Speaker 1: the banks who extend loans, where the infrastructure, where the 220 00:12:31,600 --> 00:12:35,199 Speaker 1: technology that makes the payments happen. And one thing that 221 00:12:35,200 --> 00:12:37,600 Speaker 1: that we have MasterCard had been committed to is is 222 00:12:37,640 --> 00:12:40,680 Speaker 1: being a multi rail company. So we want to help 223 00:12:40,720 --> 00:12:43,679 Speaker 1: people pay any way they want to pay, maybe that's 224 00:12:43,679 --> 00:12:46,440 Speaker 1: on a credit card or a debit card, or account 225 00:12:46,440 --> 00:12:49,520 Speaker 1: to account um or digitally. So we want to make 226 00:12:49,520 --> 00:12:52,800 Speaker 1: sure we have now the capability were the only global 227 00:12:52,920 --> 00:12:56,360 Speaker 1: multi rail company that can help people pay in any 228 00:12:56,400 --> 00:12:58,360 Speaker 1: in any way if they want to, and if credit 229 00:12:58,400 --> 00:13:00,600 Speaker 1: is not appropriate at the moment, then they can rely 230 00:13:00,679 --> 00:13:05,439 Speaker 1: on debit or account to account payments. But we're sometaly 231 00:13:05,440 --> 00:13:08,200 Speaker 1: doing everything we can to help our our customers and 232 00:13:08,240 --> 00:13:11,800 Speaker 1: their customers get through this crisis. Okay, last question, Michael, 233 00:13:11,840 --> 00:13:14,720 Speaker 1: I want to draw from your experience as a the 234 00:13:14,840 --> 00:13:17,079 Speaker 1: U s t R the United States Trade Resent, as 235 00:13:17,120 --> 00:13:19,040 Speaker 1: well as your experienced down master Card. Do you have 236 00:13:19,080 --> 00:13:21,800 Speaker 1: any concern that as people are looking around the world 237 00:13:21,840 --> 00:13:24,800 Speaker 1: and saying maybe globalization went too far, that maybe some 238 00:13:24,880 --> 00:13:27,040 Speaker 1: of the about borders being put up in some places 239 00:13:27,040 --> 00:13:29,480 Speaker 1: are not just for immigration, not just for trade, but 240 00:13:29,559 --> 00:13:32,520 Speaker 1: could be actually for credit and for payment systems. Well, 241 00:13:32,720 --> 00:13:36,320 Speaker 1: we do have a concern that that that people will 242 00:13:36,600 --> 00:13:43,840 Speaker 1: uh countries will resort towards nationalism, nativism, protectionism. Um. You know, 243 00:13:44,200 --> 00:13:49,400 Speaker 1: governments have absolutely legitimate interests and concerns about about privacy, 244 00:13:49,880 --> 00:13:52,880 Speaker 1: wanting to make sure that they've got the best possible 245 00:13:53,000 --> 00:13:56,280 Speaker 1: financial infrastructure in the country. But one thing that this 246 00:13:56,679 --> 00:13:59,920 Speaker 1: crisis underscores, for example, is just how important that they're 247 00:14:00,080 --> 00:14:05,000 Speaker 1: it is that there be really robust systems with cybersecurity 248 00:14:05,040 --> 00:14:08,320 Speaker 1: protection with anti fraud protection and that you're able to 249 00:14:08,400 --> 00:14:12,320 Speaker 1: see trends in data across countries so that you can, 250 00:14:12,520 --> 00:14:14,079 Speaker 1: whether it's see i am AP for the World Bank 251 00:14:14,200 --> 00:14:17,640 Speaker 1: or other institutions, take action to make sure you're addressing 252 00:14:18,360 --> 00:14:21,440 Speaker 1: those who are most those are most vulnerable and being 253 00:14:21,680 --> 00:14:27,600 Speaker 1: having a global payment capability UH seeing having access to 254 00:14:27,720 --> 00:14:31,640 Speaker 1: multiple countries allows that to happen. So we're very committed 255 00:14:31,640 --> 00:14:35,320 Speaker 1: to working with governments through this crisis. We're helping a 256 00:14:35,320 --> 00:14:38,920 Speaker 1: lot of them both through our data analytics to understand 257 00:14:38,920 --> 00:14:41,520 Speaker 1: the impacts of the COVID crisis and to our payment 258 00:14:41,560 --> 00:14:45,440 Speaker 1: capability to help them disburse funds to small businesses and 259 00:14:45,640 --> 00:14:48,320 Speaker 1: to individuals, and will continue to work with them as 260 00:14:48,360 --> 00:14:50,520 Speaker 1: we come out of this crisis to ensure that they've 261 00:14:50,560 --> 00:14:55,560 Speaker 1: got strong and secure payment systems UH in each country. 262 00:14:55,920 --> 00:14:59,480 Speaker 1: That was Michael Froman, vice chairman of MasterCard. Coming up 263 00:14:59,480 --> 00:15:02,720 Speaker 1: on Wall Street Week, how technology is helping us remake 264 00:15:02,760 --> 00:15:05,560 Speaker 1: our lives in the time of the coronavirus and how 265 00:15:05,600 --> 00:15:08,320 Speaker 1: it can do a better job. That's next on Wall 266 00:15:08,360 --> 00:15:16,840 Speaker 1: Street Week on Bloomberg. This is Bloomberg World Street Week 267 00:15:17,080 --> 00:15:21,320 Speaker 1: with David Weston from Bloomberg Radio. This week IBM also 268 00:15:21,360 --> 00:15:24,880 Speaker 1: announced new ways of using technology to support the enormous 269 00:15:24,880 --> 00:15:27,440 Speaker 1: weight that we're putting on I T in this age 270 00:15:27,480 --> 00:15:31,200 Speaker 1: of social distancing. I talked with the new CEO of IBM, 271 00:15:31,280 --> 00:15:34,200 Speaker 1: R Vin Krishna, about the way it is responsing to 272 00:15:34,240 --> 00:15:36,800 Speaker 1: the needs of its customers, needs that none of us 273 00:15:36,920 --> 00:15:39,960 Speaker 1: could have anticipated when we look at the pandemic and 274 00:15:40,040 --> 00:15:43,800 Speaker 1: what's unfolding upon us. First, let's just have a lot 275 00:15:43,800 --> 00:15:47,000 Speaker 1: of sympathy for those who are impacted by it. But then, 276 00:15:47,160 --> 00:15:49,680 Speaker 1: as you have all shifted to remote work, the need 277 00:15:49,760 --> 00:15:52,440 Speaker 1: for digital technologies, the need for cloud, the need for 278 00:15:52,520 --> 00:15:57,000 Speaker 1: AI has accelerated. As you pointed out, our audience went 279 00:15:57,000 --> 00:16:00,000 Speaker 1: from thirty thousand to eighty seven thousand. I do believe 280 00:16:00,040 --> 00:16:03,480 Speaker 1: that's a reflection of the acceleration that our clients are 281 00:16:03,520 --> 00:16:07,560 Speaker 1: seeing in adopting these technologies. If we look at cloud, 282 00:16:07,920 --> 00:16:09,720 Speaker 1: it's a great way to be able to reach your 283 00:16:09,760 --> 00:16:12,800 Speaker 1: clients virtually, to be able to get all your employees 284 00:16:12,840 --> 00:16:15,960 Speaker 1: connected back to the enterprise in a remoted, virtual way. 285 00:16:16,520 --> 00:16:18,920 Speaker 1: If you look at AI, it's about the only way 286 00:16:18,960 --> 00:16:22,000 Speaker 1: to get the extreme automation to be able to handle 287 00:16:22,040 --> 00:16:24,480 Speaker 1: the workloads that are going to be thrust upon us, 288 00:16:24,520 --> 00:16:26,840 Speaker 1: and that's why we're making so many announcements at this 289 00:16:26,920 --> 00:16:30,440 Speaker 1: conference in both those realms as well as the client 290 00:16:30,560 --> 00:16:33,240 Speaker 1: interests that we can see with the with the people 291 00:16:33,240 --> 00:16:35,800 Speaker 1: who are attending these sessions remotely. So let's talk about 292 00:16:35,800 --> 00:16:37,800 Speaker 1: those clients, because you talk to them every day. We've 293 00:16:37,840 --> 00:16:40,240 Speaker 1: all become so dependent on this technology. What are the 294 00:16:40,240 --> 00:16:42,680 Speaker 1: things you're hearing most of your clients about, what they need, 295 00:16:42,880 --> 00:16:45,000 Speaker 1: what change they need, what have proven say and what 296 00:16:45,040 --> 00:16:47,960 Speaker 1: are you trying to do to address those So so 297 00:16:48,000 --> 00:16:51,080 Speaker 1: a couple David, just to make a point this thing. 298 00:16:51,360 --> 00:16:54,280 Speaker 1: So I'll be talking to the chief Digital officer for 299 00:16:54,320 --> 00:16:57,640 Speaker 1: Anthem during the conference, and what they're talking about is 300 00:16:57,640 --> 00:17:00,960 Speaker 1: how do they connect all their air clients, the forty 301 00:17:01,000 --> 00:17:04,119 Speaker 1: million people who get healthcare, and how can they connect 302 00:17:04,160 --> 00:17:07,720 Speaker 1: with them digitally and remotely, and how can they infuse 303 00:17:07,800 --> 00:17:10,920 Speaker 1: those experiences with AI and how can they build them 304 00:17:10,960 --> 00:17:13,560 Speaker 1: on a hybrid cloud platform so they can run them 305 00:17:13,600 --> 00:17:16,440 Speaker 1: at scale and now them up and down depending upon 306 00:17:16,440 --> 00:17:19,959 Speaker 1: the need. So that's a great example of a client 307 00:17:20,280 --> 00:17:23,119 Speaker 1: but it's the same story we hear from everywhere, whether 308 00:17:23,160 --> 00:17:29,040 Speaker 1: from people in the airline industry, insurance, banking, telecom. It's 309 00:17:29,040 --> 00:17:32,480 Speaker 1: about bringing hybrid cloud technologies so they can deploy the 310 00:17:32,520 --> 00:17:36,719 Speaker 1: workload wherever it's it's fit for purpose, and then they 311 00:17:36,720 --> 00:17:40,920 Speaker 1: can use AI to not only do extreme automation which 312 00:17:40,920 --> 00:17:44,640 Speaker 1: helps take cost out, but to actually make the experience 313 00:17:44,680 --> 00:17:48,000 Speaker 1: even richer for all their end clients. And that's why 314 00:17:48,119 --> 00:17:51,119 Speaker 1: we begin to see the infusion of both those technologies 315 00:17:51,480 --> 00:17:54,640 Speaker 1: going forward. A quick example, one of the products we'll 316 00:17:54,640 --> 00:17:57,639 Speaker 1: announce here is in the category we call AI for 317 00:17:57,760 --> 00:18:02,080 Speaker 1: I and the product is called Watson AI OPS. Outages 318 00:18:02,160 --> 00:18:05,120 Speaker 1: in I T cost the industry about two and sixty 319 00:18:05,240 --> 00:18:09,359 Speaker 1: five billion dollars, but that's if you react after the fact, 320 00:18:09,480 --> 00:18:11,919 Speaker 1: that cost is still there. If we can begin to 321 00:18:12,000 --> 00:18:14,360 Speaker 1: predict what may go wrong and be able to put 322 00:18:14,400 --> 00:18:17,199 Speaker 1: it right in the workflow, right in all the collaboration tools, 323 00:18:17,440 --> 00:18:20,639 Speaker 1: and fix it even before it happens, that brings huge 324 00:18:20,680 --> 00:18:24,840 Speaker 1: power unlocking the potential of AI for our clients, and 325 00:18:24,920 --> 00:18:27,800 Speaker 1: that is something we really really are excited about, in 326 00:18:27,840 --> 00:18:30,720 Speaker 1: addition to the other hybrid cloud technology we're also bringing 327 00:18:30,720 --> 00:18:33,480 Speaker 1: out at this conference. So I'm gonna say those of 328 00:18:33,560 --> 00:18:35,720 Speaker 1: us who are working from home and experience some of 329 00:18:35,760 --> 00:18:38,760 Speaker 1: the glitches that happen are eager to have those corrected. 330 00:18:38,920 --> 00:18:41,679 Speaker 1: When will that product be available will really redeem some 331 00:18:41,720 --> 00:18:44,400 Speaker 1: of the situations that we have where our system goes down, 332 00:18:44,640 --> 00:18:47,400 Speaker 1: there's some problem, we have to reboot it, things like that. 333 00:18:47,400 --> 00:18:50,399 Speaker 1: That product actually is coming out now. We're announcing it 334 00:18:50,440 --> 00:18:53,400 Speaker 1: at the conference in May, and people can start purchasing 335 00:18:53,440 --> 00:18:57,040 Speaker 1: it now for deployment in this quarter, meaning before before 336 00:18:57,080 --> 00:18:59,639 Speaker 1: the month of June. So that is a great, great power. 337 00:19:00,000 --> 00:19:02,320 Speaker 1: But it talked a little bit more on AI. If 338 00:19:02,320 --> 00:19:04,840 Speaker 1: you look at AI and it's impact on COVID, something 339 00:19:04,880 --> 00:19:08,520 Speaker 1: we're all unfortunately suffering from right now. But I look 340 00:19:08,560 --> 00:19:11,880 Speaker 1: at medical research in India, I look at government services 341 00:19:11,880 --> 00:19:15,200 Speaker 1: in Poland, I look at hospitals in the United States, 342 00:19:15,640 --> 00:19:18,840 Speaker 1: and these examples go across dozens of countries. We can 343 00:19:18,880 --> 00:19:22,960 Speaker 1: all begin to use intelligent AI assistance to really take 344 00:19:22,960 --> 00:19:26,800 Speaker 1: away in triage out a lot of information that people 345 00:19:26,840 --> 00:19:30,119 Speaker 1: are looking for. So in a hospital case, parents who 346 00:19:30,160 --> 00:19:33,359 Speaker 1: are anxious about their children can interact with the AI 347 00:19:33,440 --> 00:19:36,800 Speaker 1: assistant and be and that way you can take a 348 00:19:36,840 --> 00:19:39,479 Speaker 1: thousand odd calls and take them out of the medical 349 00:19:39,520 --> 00:19:42,800 Speaker 1: professionals hands, allowing the medical professionals to focus on the 350 00:19:42,880 --> 00:19:46,560 Speaker 1: much more serious cases where the AI reacts with, Hey, 351 00:19:46,600 --> 00:19:49,240 Speaker 1: this is serious enough that you should actually have a 352 00:19:49,280 --> 00:19:52,840 Speaker 1: person now interact. I think these are really useful examples 353 00:19:53,160 --> 00:19:55,879 Speaker 1: to show how AI can go, not just an I 354 00:19:55,960 --> 00:19:58,160 Speaker 1: T as you pointed out, David, where we all would 355 00:19:58,200 --> 00:20:00,720 Speaker 1: like all of our infrastructure to stay up all the time, 356 00:20:00,960 --> 00:20:03,360 Speaker 1: and we do believe the tools in the next month 357 00:20:03,359 --> 00:20:05,520 Speaker 1: I'm going to help there, but also in terms of 358 00:20:05,560 --> 00:20:10,359 Speaker 1: helping our citizens and governments and medical professionals be able 359 00:20:10,400 --> 00:20:13,840 Speaker 1: to help everyone deal with COVID nineteen. So when you 360 00:20:13,880 --> 00:20:16,880 Speaker 1: make a very important point, they're mentioning various countries where 361 00:20:16,920 --> 00:20:19,919 Speaker 1: this could be applied. The situation has been global when 362 00:20:19,960 --> 00:20:21,920 Speaker 1: it comes to internet and digital At the same time, 363 00:20:22,040 --> 00:20:24,440 Speaker 1: even before the pandemic, there were some countries that are 364 00:20:24,440 --> 00:20:26,919 Speaker 1: trying to draw some borders when it came to data 365 00:20:27,240 --> 00:20:29,320 Speaker 1: and when it came to some of the Internet's issues. 366 00:20:29,520 --> 00:20:32,680 Speaker 1: Are you concerned Do you see any indications that the 367 00:20:32,720 --> 00:20:36,119 Speaker 1: pandemic problems that we're seeing may actually increase the resistance 368 00:20:36,320 --> 00:20:39,760 Speaker 1: two flows up data and information across borders. Look, David, Um, 369 00:20:40,200 --> 00:20:43,520 Speaker 1: I'll sort of begin with my perspective. Um. Of course, 370 00:20:43,560 --> 00:20:46,119 Speaker 1: the economies are always going to and nasues are always 371 00:20:46,119 --> 00:20:49,240 Speaker 1: going to try to advantage themselves. But when we step back, 372 00:20:49,640 --> 00:20:52,320 Speaker 1: I think both global trade and the free flow of 373 00:20:52,440 --> 00:20:56,120 Speaker 1: data have shown that the entire economy, the global economy, 374 00:20:56,160 --> 00:20:59,960 Speaker 1: gets better and everyone benefits. I think it's a fault deliver. 375 00:21:00,160 --> 00:21:02,679 Speaker 1: And people think about a win lose. It's not a 376 00:21:02,760 --> 00:21:05,080 Speaker 1: sports game, but it's a win lose. It's a win 377 00:21:05,160 --> 00:21:07,000 Speaker 1: win if you can agrease the size at the bar 378 00:21:07,200 --> 00:21:11,800 Speaker 1: for everyone. That was Arvin Krishna, CEO of IBM. Coming up, 379 00:21:12,240 --> 00:21:14,840 Speaker 1: we wrap up the week with our special contributor Larry 380 00:21:14,920 --> 00:21:18,879 Speaker 1: Summers of Harvard. That's next on Wall Street Week on Bloomberg. 381 00:21:24,680 --> 00:21:28,640 Speaker 1: This is Bloomberg Wall Street Week with David Weston from 382 00:21:28,760 --> 00:21:32,159 Speaker 1: Bloomberg Radio. We knew it was coming, and yet it's 383 00:21:32,160 --> 00:21:36,159 Speaker 1: shocked us. Nonetheless, twenty point five million Americans losing their 384 00:21:36,200 --> 00:21:38,200 Speaker 1: jobs in just one month, and every one of those 385 00:21:38,280 --> 00:21:41,720 Speaker 1: jobs represents a family that has been appended. So it's 386 00:21:41,760 --> 00:21:44,800 Speaker 1: hardly any surprise. The President Trump has said that we 387 00:21:44,920 --> 00:21:47,639 Speaker 1: must get the economy going again, no matter what, and 388 00:21:47,680 --> 00:21:51,280 Speaker 1: he recognizes there are certain risks involved in doing that, 389 00:21:51,680 --> 00:21:55,639 Speaker 1: even if it means certain health and certain loss of life. Potentially, 390 00:21:56,160 --> 00:21:58,960 Speaker 1: it really seems an unthinkable choice really, but let's be 391 00:21:59,000 --> 00:22:01,480 Speaker 1: honest with ourselves. We know that sooner or later we 392 00:22:01,520 --> 00:22:03,560 Speaker 1: have to get the economy going again. We also know 393 00:22:03,600 --> 00:22:06,320 Speaker 1: that's gonna entail some risk. The question is how much 394 00:22:06,440 --> 00:22:09,000 Speaker 1: risk and how best can we manage that risk? And 395 00:22:09,000 --> 00:22:10,879 Speaker 1: so we begin with what we're told as a painful 396 00:22:10,960 --> 00:22:13,359 Speaker 1: choice between tens of millions of people out of work 397 00:22:13,400 --> 00:22:15,960 Speaker 1: on the one hand, and another hand, those whose life 398 00:22:16,240 --> 00:22:18,800 Speaker 1: could hang in the balance. And to help us address 399 00:22:18,840 --> 00:22:21,960 Speaker 1: that question, welcome now Wall Street Week special contributor Larry 400 00:22:22,040 --> 00:22:26,840 Speaker 1: Summers of Harvard. He was, of course Secretary Treasury. Larry, 401 00:22:26,840 --> 00:22:29,040 Speaker 1: thanks so much for being back with us. We've talked 402 00:22:29,040 --> 00:22:31,440 Speaker 1: about this obviously, we want to be cautious and really 403 00:22:31,440 --> 00:22:33,160 Speaker 1: starting with starting the economy again. At the same time, 404 00:22:33,200 --> 00:22:35,440 Speaker 1: when you see that many people out of work doesn't 405 00:22:35,560 --> 00:22:38,520 Speaker 1: mean we have to get going. It conveys that we've 406 00:22:38,560 --> 00:22:41,840 Speaker 1: got a need to do something. We've got to make 407 00:22:41,880 --> 00:22:44,720 Speaker 1: sure those people are able to continue to live, which 408 00:22:44,800 --> 00:22:49,320 Speaker 1: is why very very strong unemployment insurance it's fortified for 409 00:22:49,359 --> 00:22:54,360 Speaker 1: this moment, is going to be absolutely essential, and why 410 00:22:54,359 --> 00:22:57,560 Speaker 1: the Congress is gonna have to move to extend what's 411 00:22:57,600 --> 00:23:00,680 Speaker 1: been put in place so that it's secure early there 412 00:23:00,800 --> 00:23:04,800 Speaker 1: for people. That's as long as necessary. It says that 413 00:23:04,840 --> 00:23:09,960 Speaker 1: we need to move with all deliberate speed. But if 414 00:23:09,960 --> 00:23:12,320 Speaker 1: we do it in a way that starts the pandemic 415 00:23:12,400 --> 00:23:15,439 Speaker 1: up again, then in the end, the people aren't going 416 00:23:15,480 --> 00:23:20,800 Speaker 1: to come back uh to uh their jobs because they're 417 00:23:20,840 --> 00:23:24,640 Speaker 1: going to be afraid uh to go to work, and 418 00:23:24,960 --> 00:23:27,800 Speaker 1: the people they served in stores or restaurants are gonna 419 00:23:27,800 --> 00:23:31,359 Speaker 1: be afraid to go out of their houses. So we've 420 00:23:31,359 --> 00:23:36,760 Speaker 1: really got to make a priority um out of UH 421 00:23:36,960 --> 00:23:42,760 Speaker 1: doing what's necessary to enable us to move forward. And 422 00:23:42,840 --> 00:23:46,560 Speaker 1: that goes back to masking, it goes back to testing, 423 00:23:47,160 --> 00:23:50,800 Speaker 1: and it goes back to contact tracing, and we're not 424 00:23:50,880 --> 00:23:57,000 Speaker 1: spending as much on those things as we are on 425 00:23:58,000 --> 00:24:02,880 Speaker 1: the relief efforts. And that's something that we're gonna need 426 00:24:03,400 --> 00:24:06,919 Speaker 1: uh to fix if we want to be able to 427 00:24:07,080 --> 00:24:12,439 Speaker 1: have a viable economic recovery. Hope, David, is is not 428 00:24:12,600 --> 00:24:17,320 Speaker 1: a strategy, and simply letting us open up in the 429 00:24:17,359 --> 00:24:22,040 Speaker 1: hope that more people will be hired is probably a 430 00:24:22,040 --> 00:24:27,720 Speaker 1: prescription for getting a second wallop uh from uh this virus. 431 00:24:28,160 --> 00:24:32,199 Speaker 1: And that's not going to serve either economic objectives UH 432 00:24:32,440 --> 00:24:38,399 Speaker 1: or moral objectives. But yes, We absolutely can't just accept this. 433 00:24:38,720 --> 00:24:43,040 Speaker 1: It's no argument for fatalism, but it's an argument for 434 00:24:43,480 --> 00:24:47,159 Speaker 1: the right kind of economic strategy. But the first plank 435 00:24:47,480 --> 00:24:53,200 Speaker 1: in that uh, right economic strategy is an aggressive health strategy, 436 00:24:53,760 --> 00:24:58,280 Speaker 1: and unfortunately we're still not seeing that. So we heard 437 00:24:58,320 --> 00:25:01,399 Speaker 1: from Larry Cudloud this week and said that as a PRACTICMTY, 438 00:25:01,400 --> 00:25:03,040 Speaker 1: we will never have to shut it all down again 439 00:25:03,040 --> 00:25:06,359 Speaker 1: because we've built up so much infrastructure since the epidemics 440 00:25:06,400 --> 00:25:09,119 Speaker 1: first came here that we now have the wherewithal that 441 00:25:09,240 --> 00:25:11,320 Speaker 1: even though there will be flare ups, the presidents of 442 00:25:11,320 --> 00:25:13,640 Speaker 1: that will be able to contain it. Does that sound right? 443 00:25:15,280 --> 00:25:20,280 Speaker 1: Sounds like nonsense. It sounds like something he wishes is true. 444 00:25:20,880 --> 00:25:26,200 Speaker 1: I mean, talk about contagion. The president's pensiant for confusing 445 00:25:26,680 --> 00:25:29,159 Speaker 1: what is with what he wants to with what he 446 00:25:29,200 --> 00:25:32,719 Speaker 1: would like to be true seems to be contagious to 447 00:25:33,040 --> 00:25:36,800 Speaker 1: the people who work for him. Uh in uh the 448 00:25:36,840 --> 00:25:41,800 Speaker 1: White House. Unfortunately, we don't even at this late date, 449 00:25:42,359 --> 00:25:50,840 Speaker 1: we can track a presidential election every day, PEPSI contract, 450 00:25:50,920 --> 00:25:55,920 Speaker 1: the sale of Fredo's every single day. The government of 451 00:25:55,960 --> 00:26:00,959 Speaker 1: the United States of America cannot track every single month 452 00:26:01,240 --> 00:26:06,720 Speaker 1: or every single week the incidence of a pandemic. We 453 00:26:06,800 --> 00:26:10,160 Speaker 1: don't have the data. We've got data on how many 454 00:26:10,160 --> 00:26:13,320 Speaker 1: people have been tested positive, but since we don't have 455 00:26:13,400 --> 00:26:16,240 Speaker 1: tests for most people, that data is telling us as 456 00:26:16,320 --> 00:26:19,160 Speaker 1: much about how many tests there are as how many 457 00:26:19,200 --> 00:26:23,600 Speaker 1: people have the disease. It is incredible that in this 458 00:26:23,720 --> 00:26:31,879 Speaker 1: age of data science, of social media, of information technology, 459 00:26:31,920 --> 00:26:37,960 Speaker 1: of artificial intelligence, that the most rudimentary kind of tracking 460 00:26:38,000 --> 00:26:42,119 Speaker 1: information is lacking, and that we are being thrown back 461 00:26:42,440 --> 00:26:45,480 Speaker 1: on what was the fourteenth century solution to the play. 462 00:26:46,119 --> 00:26:48,760 Speaker 1: Everybody go to the country and stay and stay in 463 00:26:48,760 --> 00:26:54,040 Speaker 1: their own houses and not meet anybody they don't live with. UM. 464 00:26:54,119 --> 00:26:57,800 Speaker 1: It is extraordinary to me, and I don't know where 465 00:26:57,800 --> 00:26:59,960 Speaker 1: it cut loose. I don't know what cud loose talking about. 466 00:27:00,119 --> 00:27:04,800 Speaker 1: Show me some infrastructure that the administration has developed. They've 467 00:27:05,080 --> 00:27:09,840 Speaker 1: turfed the problem to governors who have lacked the necessary 468 00:27:09,960 --> 00:27:16,200 Speaker 1: UH resources, and some are doing UH better UH than others. 469 00:27:16,200 --> 00:27:21,680 Speaker 1: But the stunning thing is the plateau ng of UH 470 00:27:22,440 --> 00:27:27,280 Speaker 1: of this UH virus. And so yes, it's true, we're 471 00:27:27,320 --> 00:27:31,159 Speaker 1: not gonna ever. I anticipate have another month when we 472 00:27:31,200 --> 00:27:36,320 Speaker 1: lose another twenty million jobs. But if we want the 473 00:27:36,960 --> 00:27:40,760 Speaker 1: better half of those twenty million jobs to be coming back. 474 00:27:40,920 --> 00:27:43,000 Speaker 1: We need to get on our horse and do something, 475 00:27:44,320 --> 00:27:47,560 Speaker 1: so lurry. Everything you say raises the natural question why 476 00:27:48,160 --> 00:27:49,720 Speaker 1: we have a lot of people in the private sector, 477 00:27:49,720 --> 00:27:52,760 Speaker 1: of the public sector, even charities such as the Gates Foundation, 478 00:27:52,920 --> 00:27:56,080 Speaker 1: who are devoted to this, Why aren't we fixing those problems. 479 00:27:57,640 --> 00:28:00,760 Speaker 1: There's an obvious answer, and there's a deep answer. The 480 00:28:00,840 --> 00:28:04,879 Speaker 1: obvious answer is cust it incompetence. And we just got 481 00:28:05,240 --> 00:28:11,720 Speaker 1: vast amounts of sort of inconceivable levels of incompetence at 482 00:28:11,720 --> 00:28:15,040 Speaker 1: the federal level. And that needs to be said before 483 00:28:15,080 --> 00:28:19,720 Speaker 1: anything complex uh is said. But there is a complex problem. 484 00:28:19,760 --> 00:28:23,120 Speaker 1: Take the area of tests. If you thought about if 485 00:28:23,160 --> 00:28:26,320 Speaker 1: you had a potential test that you thought was really good, 486 00:28:26,440 --> 00:28:30,600 Speaker 1: it was cheap, that you saliva that could be mass produced, 487 00:28:30,920 --> 00:28:34,120 Speaker 1: and you were thinking about producing it, you would need 488 00:28:34,200 --> 00:28:37,040 Speaker 1: to know one of two things. You would either need 489 00:28:37,080 --> 00:28:39,600 Speaker 1: to know that your test was going to be selected 490 00:28:39,800 --> 00:28:43,520 Speaker 1: and you had a high confidence that you'd be able 491 00:28:43,520 --> 00:28:46,480 Speaker 1: to go into vast production with it, and then you'd 492 00:28:46,480 --> 00:28:50,520 Speaker 1: be willing to do it. But if you thought that 493 00:28:50,680 --> 00:28:53,440 Speaker 1: there are a lot of people trying and you might 494 00:28:53,480 --> 00:28:56,520 Speaker 1: win the lottery, but more likely than not you wouldn't. 495 00:28:57,320 --> 00:29:00,600 Speaker 1: You'd need to know either that you were going to 496 00:29:00,680 --> 00:29:05,720 Speaker 1: be insured for your costs if you didn't win the lottery, 497 00:29:06,080 --> 00:29:08,240 Speaker 1: or you need to know that if you did win 498 00:29:08,280 --> 00:29:11,160 Speaker 1: the lottery, you were gonna win some kind of massive surprise. 499 00:29:12,120 --> 00:29:15,560 Speaker 1: But in the decentralized system with fifty states that we 500 00:29:15,640 --> 00:29:20,560 Speaker 1: have now, people thinking about developing those tests know that 501 00:29:20,640 --> 00:29:24,080 Speaker 1: they won't get reimbursed for their costs if their thing 502 00:29:24,240 --> 00:29:27,880 Speaker 1: isn't selected, and then if their thing is selected, they 503 00:29:27,880 --> 00:29:30,840 Speaker 1: won't be allowed to make massive profits because of being 504 00:29:30,960 --> 00:29:34,120 Speaker 1: moral to profit on a huge scale in the midst 505 00:29:34,120 --> 00:29:38,280 Speaker 1: of a national emergency, And so the incentive to drive 506 00:29:38,480 --> 00:29:43,280 Speaker 1: something to completion just isn't UH there. And the way 507 00:29:43,280 --> 00:29:49,200 Speaker 1: we're managing this, we need an aggressive program that encourages 508 00:29:49,360 --> 00:29:54,040 Speaker 1: every development and reimburses people for their UH for their 509 00:29:54,120 --> 00:30:00,640 Speaker 1: costs and when they don't UH, and provision for providing 510 00:30:00,680 --> 00:30:06,440 Speaker 1: a big reward for people who develop ultimately successful vaccines. 511 00:30:06,640 --> 00:30:09,880 Speaker 1: If we had that, we would be doing much better. 512 00:30:10,360 --> 00:30:14,400 Speaker 1: But look, to have any kind of environment for doing 513 00:30:14,440 --> 00:30:21,800 Speaker 1: anything succeed, you need signals that have some character of constancy, 514 00:30:22,440 --> 00:30:28,240 Speaker 1: some predictability, and no company could effectively manage a supply 515 00:30:28,400 --> 00:30:33,080 Speaker 1: chain if it's CEO was announcing different things on odd 516 00:30:33,160 --> 00:30:36,360 Speaker 1: number days and on even numbered days. And that's the 517 00:30:36,440 --> 00:30:41,520 Speaker 1: situation that the federal government has us in right now. Yeah, 518 00:30:41,600 --> 00:30:44,960 Speaker 1: Federal Approcurement program. It's a big goal. I'm not sure 519 00:30:45,000 --> 00:30:47,600 Speaker 1: that we're headed in that direction necessarily right now. Larry 520 00:30:47,800 --> 00:30:49,600 Speaker 1: and I Suppo. You would take an awful long time 521 00:30:49,640 --> 00:30:51,400 Speaker 1: to get it up and running as a practical matter, 522 00:30:51,600 --> 00:30:53,440 Speaker 1: but it is an idea, and certainly we don't seem 523 00:30:53,440 --> 00:30:55,120 Speaker 1: to be getting where we need to go right now. 524 00:30:55,560 --> 00:30:57,400 Speaker 1: We need to get back and running and if we're 525 00:30:57,400 --> 00:30:59,960 Speaker 1: gonna save some of these jobs, were losing so terribly 526 00:31:00,000 --> 00:31:02,240 Speaker 1: of many of them. Thank you so much to Larry Summers. 527 00:31:02,240 --> 00:31:04,760 Speaker 1: He's our special Wall Street Week contributor. He was, of course, 528 00:31:04,880 --> 00:31:09,520 Speaker 1: university professor at Harvard, and he's former Secretary of the Treasury. 529 00:31:09,960 --> 00:31:12,160 Speaker 1: That's it for this edition of Wall Street Grief. I'm 530 00:31:12,240 --> 00:31:15,600 Speaker 1: David Western. See you next week. This is Bloomber