1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul swing you. 2 00:00:05,360 --> 00:00:07,680 Speaker 1: Along with my co host Lisa Brahma Waits. Each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money, whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:23,439 Speaker 1: at Bloomberg dot com. We are joined by the one 8 00:00:23,440 --> 00:00:26,720 Speaker 1: and only David Kotalk, Chairman and Chief Investment Officer of 9 00:00:26,800 --> 00:00:32,760 Speaker 1: Cumberland Advisors. H really interesting right now to see bonds 10 00:00:32,840 --> 00:00:36,640 Speaker 1: continuing to rally even as we get better than expected 11 00:00:37,200 --> 00:00:39,360 Speaker 1: data out of China, and there seems to be a 12 00:00:39,400 --> 00:00:43,120 Speaker 1: growing amount of optimism that perhaps Europe is bottoming. And 13 00:00:43,200 --> 00:00:45,920 Speaker 1: I have to wander has the rally gone too far 14 00:00:46,400 --> 00:00:49,680 Speaker 1: too fast? Where are you on that? I think the 15 00:00:49,960 --> 00:00:53,800 Speaker 1: treasury rally in the United States that has flattened the 16 00:00:53,880 --> 00:00:57,520 Speaker 1: yield curve, inverted it. Some people would say you just 17 00:00:58,000 --> 00:01:00,760 Speaker 1: had a previous segment and talking about that, I think 18 00:01:00,760 --> 00:01:04,840 Speaker 1: it's gone too far too fast. And this whole notion, 19 00:01:04,920 --> 00:01:10,920 Speaker 1: now that we have futures pricing of rate cuts, how 20 00:01:11,040 --> 00:01:17,080 Speaker 1: recently did we have futures pricing rate hikes? What makes 21 00:01:17,680 --> 00:01:23,560 Speaker 1: futures pricings gospel? I don't see it, So I think 22 00:01:23,600 --> 00:01:26,320 Speaker 1: we're in our shop. You know, what do you think 23 00:01:26,400 --> 00:01:28,240 Speaker 1: is one thing? What do you do in a portfolio? 24 00:01:28,400 --> 00:01:32,319 Speaker 1: Was another. We are shortening duration, we are favoring the 25 00:01:32,319 --> 00:01:37,360 Speaker 1: front end. We've expanded the shorter maturity side of the barbell. 26 00:01:37,520 --> 00:01:41,840 Speaker 1: We're taking profits in bonds because they've galloped by so 27 00:01:41,959 --> 00:01:46,360 Speaker 1: many points, and we're shifting a portfolio to defense. So 28 00:01:47,040 --> 00:01:49,360 Speaker 1: in the high old market, that's also how to rally? 29 00:01:49,400 --> 00:01:52,080 Speaker 1: Do you see any value there? In which market is 30 00:01:52,920 --> 00:01:57,120 Speaker 1: in high I'm worried about credit. When you spend ten 31 00:01:57,240 --> 00:02:02,320 Speaker 1: years at zero interest rates, you buffer sensitivity, you you 32 00:02:03,240 --> 00:02:07,960 Speaker 1: eliminate this notion that there's credit risk. So you see 33 00:02:08,040 --> 00:02:10,840 Speaker 1: this spreading out a credit risk in spreads and then 34 00:02:10,880 --> 00:02:14,679 Speaker 1: it tightens right back up and people chase yield. And 35 00:02:14,960 --> 00:02:18,160 Speaker 1: chasing yield in the long run is a bad thing 36 00:02:18,240 --> 00:02:21,080 Speaker 1: to do. So in our shop, we're favoring higher grade, 37 00:02:21,560 --> 00:02:24,959 Speaker 1: not how you here's the problem, and this is something 38 00:02:25,000 --> 00:02:26,839 Speaker 1: that I think a lot of people are struggling with. 39 00:02:27,120 --> 00:02:28,679 Speaker 1: There are a lot of signs that were in late 40 00:02:28,760 --> 00:02:31,880 Speaker 1: cycle on every level, whether it's equities, whether it's risk 41 00:02:31,919 --> 00:02:34,880 Speaker 1: assets and credit. And the problem is is that that 42 00:02:34,919 --> 00:02:37,440 Speaker 1: can continue for a long time, right, and this would 43 00:02:37,440 --> 00:02:41,000 Speaker 1: actually be one of the best parts of the whole rally, 44 00:02:41,120 --> 00:02:45,480 Speaker 1: especially if there is no sort of disruptive factor. So, uh, 45 00:02:45,560 --> 00:02:49,200 Speaker 1: your your you look you have consternation. No, I don't. 46 00:02:50,480 --> 00:02:55,360 Speaker 1: I agree with you. A late cycle sweet spot two growth, 47 00:02:55,720 --> 00:03:02,600 Speaker 1: no excesses. It appears low inflation, low interest rates. Uh. 48 00:03:02,639 --> 00:03:07,239 Speaker 1: The markets ignore the geopolitical risk, it's there. They ignore 49 00:03:07,280 --> 00:03:12,520 Speaker 1: the narrative and volatility of politics, it's there. They ignore 50 00:03:12,800 --> 00:03:17,000 Speaker 1: Brexit in the charade we call the UK trying to 51 00:03:17,080 --> 00:03:21,960 Speaker 1: do something. I mean, markets are ignoring us. Well, why 52 00:03:22,000 --> 00:03:26,400 Speaker 1: there's a salve. The salve is constant monetary policy with 53 00:03:26,560 --> 00:03:31,000 Speaker 1: excess liquidity. And now in the United States that's normalizing. 54 00:03:31,840 --> 00:03:35,560 Speaker 1: In Europe they're gonna try in a change of regime 55 00:03:35,640 --> 00:03:41,440 Speaker 1: after drugging, to try to normalize interest rates up to zero. 56 00:03:41,920 --> 00:03:45,200 Speaker 1: So here's the question. Do you have a permanent free 57 00:03:45,320 --> 00:03:50,760 Speaker 1: lunch of infinite liquidity and therefore everything is wonderful all 58 00:03:50,800 --> 00:03:55,880 Speaker 1: the time, or is there some transfer that's taking place 59 00:03:56,000 --> 00:04:02,080 Speaker 1: between those who are borrowing long term at low interest 60 00:04:02,160 --> 00:04:06,040 Speaker 1: rates with some plan or no plan to ever pay 61 00:04:06,040 --> 00:04:09,680 Speaker 1: it back, and those who are trapped in a paradigm. 62 00:04:09,960 --> 00:04:14,040 Speaker 1: An institution, for example, that is forced to buy a 63 00:04:14,200 --> 00:04:18,000 Speaker 1: German government bond with part of its capital by law. 64 00:04:18,880 --> 00:04:21,520 Speaker 1: Is there a trade off and when it happens, we 65 00:04:21,600 --> 00:04:25,839 Speaker 1: don't know. Does it get ugly when it does? Maybe? 66 00:04:26,279 --> 00:04:29,440 Speaker 1: So when you get a massive rally like this, you 67 00:04:29,640 --> 00:04:31,960 Speaker 1: put some of it in the bank. You earn your 68 00:04:32,000 --> 00:04:34,920 Speaker 1: two percent on your cash in America, and you say, 69 00:04:34,960 --> 00:04:37,600 Speaker 1: you know what risk is rising, and I don't know 70 00:04:37,640 --> 00:04:40,800 Speaker 1: when it's gonna bite. So how much cash are you have? 71 00:04:40,880 --> 00:04:44,280 Speaker 1: You increased the allocation too well. In the bond side, 72 00:04:44,279 --> 00:04:47,120 Speaker 1: we're moving to the short duration. In the stock side, 73 00:04:47,480 --> 00:04:51,360 Speaker 1: we run four different types of stock portfolios and they 74 00:04:51,400 --> 00:04:56,839 Speaker 1: are in various positions in cash between fift and the 75 00:04:57,240 --> 00:05:03,559 Speaker 1: high turnover technical quantitative strategy went to a percent cash 76 00:05:03,960 --> 00:05:09,120 Speaker 1: last night last night. Please please elaborate how much was 77 00:05:09,160 --> 00:05:11,520 Speaker 1: it in cash before you sold out of everything. It's 78 00:05:11,520 --> 00:05:14,320 Speaker 1: a binary strategy, so it's either fully invested or it's 79 00:05:14,320 --> 00:05:17,840 Speaker 1: in cash, and it had it's got phasing, its intricate 80 00:05:17,920 --> 00:05:23,679 Speaker 1: math and the final trunch went to cash yesterday. David 81 00:05:23,760 --> 00:05:27,400 Speaker 1: Kotok cash and one of his funds that last night. 82 00:05:27,560 --> 00:05:31,279 Speaker 1: How often does it happen? Well, this strategy can sit 83 00:05:31,320 --> 00:05:33,520 Speaker 1: in cash for months till it has the right kind 84 00:05:33,520 --> 00:05:37,400 Speaker 1: of entry. It's it's quantitative driven. It doesn't have human 85 00:05:37,440 --> 00:05:41,520 Speaker 1: beings making decisions using their emotions. So no matter what 86 00:05:41,600 --> 00:05:43,760 Speaker 1: I think, it's the math that will was the last 87 00:05:43,800 --> 00:05:47,279 Speaker 1: time that it was in all cash um last time 88 00:05:47,279 --> 00:05:53,320 Speaker 1: it was in all cash was last um fall. Sometime 89 00:05:53,640 --> 00:05:57,640 Speaker 1: we had an entry after the summer sell off and 90 00:05:57,760 --> 00:06:00,720 Speaker 1: we went into the v drop in ash. So we 91 00:06:00,760 --> 00:06:05,800 Speaker 1: had a Swan song down and back. Interesting. So so 92 00:06:06,160 --> 00:06:08,560 Speaker 1: it's clear you think the FED has gone too far. Well, 93 00:06:08,600 --> 00:06:12,240 Speaker 1: I think I think the FED was remarkable. The FED 94 00:06:12,360 --> 00:06:16,560 Speaker 1: says we're data driven. The FED says we'll look at 95 00:06:16,640 --> 00:06:19,840 Speaker 1: data and if it changes, will change. And the FED 96 00:06:19,920 --> 00:06:23,800 Speaker 1: has said, okay, we're gonna pause for a while. That's 97 00:06:23,839 --> 00:06:27,280 Speaker 1: what the dots are all about. David Kotak, thank you 98 00:06:27,400 --> 00:06:29,839 Speaker 1: so much. I think we heard this was really interesting, 99 00:06:30,080 --> 00:06:33,279 Speaker 1: so interesting. We've you just never hear that going to 100 00:06:33,480 --> 00:06:36,479 Speaker 1: catch And it's a it's a binary strategy, to be clear, 101 00:06:37,080 --> 00:06:39,480 Speaker 1: which is what David Kodak was saying. But the idea 102 00:06:39,600 --> 00:06:44,440 Speaker 1: that right now things look a little bit overdone, even 103 00:06:45,000 --> 00:06:47,640 Speaker 1: when it comes to someone who doesn't have emotions exactly. 104 00:06:48,000 --> 00:06:50,080 Speaker 1: David Kotok, thank you so much. Thank it's a chairman 105 00:06:50,080 --> 00:06:53,200 Speaker 1: of Chief Investment officer of Complerent Advisors. Always a welcome 106 00:06:53,240 --> 00:07:11,680 Speaker 1: guest here in a Bloomberg Interactive Broker studio. Well, financial 107 00:07:11,720 --> 00:07:15,560 Speaker 1: technology or fintech is one of the hottest areas, not 108 00:07:15,600 --> 00:07:18,720 Speaker 1: only in technology but in financial services, and it is 109 00:07:18,760 --> 00:07:22,320 Speaker 1: impacting companies large and small across the spectrum. To help 110 00:07:22,400 --> 00:07:24,720 Speaker 1: us kind of dig into this issue, this issue, we 111 00:07:24,760 --> 00:07:27,880 Speaker 1: welcome Karen Mills. Karen is a senior Fellow at Harvard 112 00:07:27,880 --> 00:07:31,520 Speaker 1: Business School and she's a former Small Business Administration Administrator 113 00:07:31,560 --> 00:07:35,760 Speaker 1: for President Obama. Uh, Karen, thank you, and welcome to Bloomberg. 114 00:07:36,240 --> 00:07:38,680 Speaker 1: I really want to get a sense of is in 115 00:07:38,760 --> 00:07:41,400 Speaker 1: your book. In the book is entitled Fintech Small Business 116 00:07:41,440 --> 00:07:44,160 Speaker 1: in the American Dream. Is that your contention that financial 117 00:07:44,200 --> 00:07:47,480 Speaker 1: technology is a net positive or net negative for small businesses. 118 00:07:48,040 --> 00:07:50,840 Speaker 1: It's a huge positive for small business. In fact, I 119 00:07:50,880 --> 00:07:53,320 Speaker 1: think we're at a huge inflection point. You know, we 120 00:07:53,360 --> 00:07:57,760 Speaker 1: all talk about AI and fintech um and I think 121 00:07:58,000 --> 00:07:59,840 Speaker 1: one of the places that we're going to see huge 122 00:08:00,080 --> 00:08:03,360 Speaker 1: change is not in driverless cars, but it is in 123 00:08:03,480 --> 00:08:06,440 Speaker 1: small business lending. We're going to see the ability of 124 00:08:06,480 --> 00:08:09,880 Speaker 1: small businesses to have credit at the push of a button. 125 00:08:10,280 --> 00:08:12,440 Speaker 1: And the players in this are not going to be 126 00:08:12,960 --> 00:08:17,800 Speaker 1: just your old community bank. It's going to be Apple 127 00:08:18,240 --> 00:08:22,920 Speaker 1: and Amazon and Square and new fin techs and then 128 00:08:23,280 --> 00:08:28,840 Speaker 1: traditional places like JP Morgan are investing, you know, billions 129 00:08:28,880 --> 00:08:32,480 Speaker 1: of dollars literally in providing new services. So this could 130 00:08:32,480 --> 00:08:36,360 Speaker 1: be the game changer that small businesses need to get 131 00:08:36,360 --> 00:08:39,679 Speaker 1: the products and services that meet their needs. So here's 132 00:08:39,720 --> 00:08:42,600 Speaker 1: my question. We've had peer to peer lending that has 133 00:08:42,679 --> 00:08:45,200 Speaker 1: been going strong and then not so much over the 134 00:08:45,240 --> 00:08:47,600 Speaker 1: number of past number of years, we've had an increase 135 00:08:47,720 --> 00:08:51,719 Speaker 1: in online marketplaces for loans to those small businesses crop up. 136 00:08:52,120 --> 00:08:55,200 Speaker 1: Why have we not yet seen, uh, this sort of 137 00:08:55,440 --> 00:08:59,160 Speaker 1: crossing of the tipping point with respect to how much 138 00:08:59,200 --> 00:09:01,960 Speaker 1: this can help small businesses? And the book I talked 139 00:09:01,960 --> 00:09:04,800 Speaker 1: about the fintech innovation curve and you just described like 140 00:09:04,880 --> 00:09:07,680 Speaker 1: the first phase. In the initial part, we called it 141 00:09:07,760 --> 00:09:09,880 Speaker 1: the wild West. You know, we thought everything was going 142 00:09:09,920 --> 00:09:13,840 Speaker 1: to take off, and then take off was aborted because 143 00:09:14,679 --> 00:09:17,880 Speaker 1: the peer to peer lenders it turned out they weren't 144 00:09:17,880 --> 00:09:21,240 Speaker 1: actually solving that bigger problem. They were making a better 145 00:09:21,320 --> 00:09:24,760 Speaker 1: customer experience, but they were giving people the same product, 146 00:09:24,880 --> 00:09:28,520 Speaker 1: maybe at a higher price. So enter big tech and 147 00:09:28,520 --> 00:09:32,480 Speaker 1: then you've got Amazon and PayPal and Square starting to lend, 148 00:09:32,880 --> 00:09:36,960 Speaker 1: and then people rethought the whole experience. What happened is 149 00:09:37,000 --> 00:09:40,920 Speaker 1: that data technology changed so that you could suck up 150 00:09:41,000 --> 00:09:43,880 Speaker 1: big pools of data through a p I S and 151 00:09:43,960 --> 00:09:48,520 Speaker 1: now the process is going to be radically different. If 152 00:09:48,520 --> 00:09:51,600 Speaker 1: you want to understand what's inside a small business, it's 153 00:09:51,720 --> 00:09:54,439 Speaker 1: very opaque. You know, how do you know this business 154 00:09:54,520 --> 00:09:56,720 Speaker 1: is really making money? How do you figure it out? 155 00:09:57,000 --> 00:09:59,560 Speaker 1: You have some poor banker who spends three months sort 156 00:09:59,559 --> 00:10:01,520 Speaker 1: of figure ing it out and then they say, uh no. 157 00:10:02,559 --> 00:10:06,040 Speaker 1: So what if all of this went into an algorithm 158 00:10:06,400 --> 00:10:09,640 Speaker 1: and the lender could say right away yes or no, 159 00:10:10,120 --> 00:10:12,760 Speaker 1: and the small business could also at the same time 160 00:10:13,280 --> 00:10:16,520 Speaker 1: know what's going on in their business. So I think 161 00:10:16,559 --> 00:10:19,160 Speaker 1: take off. We're just at this inflection point and you're 162 00:10:19,160 --> 00:10:21,320 Speaker 1: going to see that takeoff you were looking for. Well, 163 00:10:21,360 --> 00:10:23,960 Speaker 1: how about if I think about this, the small community 164 00:10:24,000 --> 00:10:26,640 Speaker 1: banks have been to the backbone of lending too small 165 00:10:26,640 --> 00:10:29,840 Speaker 1: businesses across America. Are you getting a sense that some 166 00:10:29,920 --> 00:10:33,640 Speaker 1: of these smaller regional banks have the wherewithal to make 167 00:10:33,720 --> 00:10:36,400 Speaker 1: the investment, to get up the technology, to curve to 168 00:10:36,440 --> 00:10:40,400 Speaker 1: compete against what will be really tech driven lending to 169 00:10:40,480 --> 00:10:43,680 Speaker 1: small businesses. I'm a big fan of small banks and 170 00:10:43,720 --> 00:10:45,960 Speaker 1: community banks, and from my time at s b A 171 00:10:46,160 --> 00:10:49,640 Speaker 1: I saw how important they were to the economy. I 172 00:10:49,679 --> 00:10:52,280 Speaker 1: would not count them out. What I think is going 173 00:10:52,320 --> 00:10:55,200 Speaker 1: to happen, and one of my predictions is that if 174 00:10:55,200 --> 00:10:58,960 Speaker 1: we get the regulation right, data will be open. So 175 00:10:59,000 --> 00:11:03,199 Speaker 1: if you give yourself permission, your permissions, then anybody can 176 00:11:03,240 --> 00:11:06,440 Speaker 1: suck up that data. So the winners will be people 177 00:11:06,480 --> 00:11:10,200 Speaker 1: who can create these platforms, and banks large and small 178 00:11:10,559 --> 00:11:14,040 Speaker 1: they can acquire or use those platforms, and you can 179 00:11:14,160 --> 00:11:17,840 Speaker 1: use your banker for more real advice and counsel rather 180 00:11:17,920 --> 00:11:20,720 Speaker 1: than that sort of grinded out process of the loan. 181 00:11:21,200 --> 00:11:24,360 Speaker 1: So I think you should not count out the community banks. 182 00:11:24,400 --> 00:11:27,160 Speaker 1: They should stick around and wait for the fin techs 183 00:11:27,160 --> 00:11:29,720 Speaker 1: to give them the products they need and just partner 184 00:11:29,880 --> 00:11:33,079 Speaker 1: partner with them in the meantime. Though you did mention 185 00:11:33,120 --> 00:11:36,320 Speaker 1: the behemoths the Amazons of the world, it's really just 186 00:11:36,440 --> 00:11:40,040 Speaker 1: Amazon and Apple, I guess, I guess Google, but I 187 00:11:40,040 --> 00:11:42,560 Speaker 1: haven't really heard them getting in on this, but Amazon 188 00:11:42,720 --> 00:11:45,040 Speaker 1: really stands out to me, especially because so many of 189 00:11:45,080 --> 00:11:48,840 Speaker 1: these small businesses may use the platform to actually sell 190 00:11:48,920 --> 00:11:52,240 Speaker 1: their goods. And I'm just wondering, when you talk about 191 00:11:52,320 --> 00:11:57,520 Speaker 1: sharing this data and allowing uh, you know, potential lenders 192 00:11:57,559 --> 00:11:59,960 Speaker 1: to see into the inner workings of these small business 193 00:12:00,080 --> 00:12:02,000 Speaker 1: is to give more confidence to giving them loans. I 194 00:12:02,040 --> 00:12:04,760 Speaker 1: assume that's what you're talking about with the data. Um, 195 00:12:04,840 --> 00:12:07,320 Speaker 1: Amazon has a tremendous leg up because they can see 196 00:12:07,360 --> 00:12:11,679 Speaker 1: the flows themselves as they lend to their businesses. I mean, 197 00:12:11,920 --> 00:12:15,720 Speaker 1: they could really consolidate this business. No. If Amazon wanted 198 00:12:15,760 --> 00:12:18,240 Speaker 1: to play like in many businesses, they could make a 199 00:12:18,320 --> 00:12:21,160 Speaker 1: huge mark. And they're already doing three billion or so. 200 00:12:21,720 --> 00:12:24,079 Speaker 1: And one of the interesting things with Amazon is are 201 00:12:24,120 --> 00:12:26,520 Speaker 1: they going to make the choice to use their balance 202 00:12:26,559 --> 00:12:30,600 Speaker 1: sheet to really enter this market? So far they haven't. 203 00:12:31,000 --> 00:12:33,200 Speaker 1: And Apple when they came in the market, they partner 204 00:12:33,280 --> 00:12:37,800 Speaker 1: with Goldman Sachs. So I think that data is key 205 00:12:37,840 --> 00:12:40,800 Speaker 1: to the decision making. But if we get more open 206 00:12:40,840 --> 00:12:43,880 Speaker 1: access to data, if you could own the stream of 207 00:12:43,960 --> 00:12:47,440 Speaker 1: information in your bank account and your Amazon flow, and 208 00:12:47,520 --> 00:12:50,320 Speaker 1: you could make it funnel up into a fintech. Then 209 00:12:50,400 --> 00:12:53,440 Speaker 1: that takes away some of their monopoly power. Why haven't 210 00:12:53,480 --> 00:12:56,080 Speaker 1: they used their balance sheet? You know, maybe they have 211 00:12:56,160 --> 00:12:59,400 Speaker 1: too many opportunities. They've got so many things that they're doing. 212 00:12:59,520 --> 00:13:02,040 Speaker 1: I actually they have asked them this question, and I 213 00:13:02,120 --> 00:13:04,600 Speaker 1: know that they are thinking about it, they're working on it. 214 00:13:04,920 --> 00:13:08,160 Speaker 1: But one reason is that small business never seems to 215 00:13:08,160 --> 00:13:11,120 Speaker 1: be the priority. First of all, people look at the 216 00:13:11,160 --> 00:13:14,720 Speaker 1: consumer market, and then small business is like the poor 217 00:13:14,880 --> 00:13:17,880 Speaker 1: cousin that gets the dribs and drabs. One of the 218 00:13:17,920 --> 00:13:20,280 Speaker 1: things I think will happen is that somebody will figure 219 00:13:20,280 --> 00:13:23,520 Speaker 1: out how to make a small business focus bank that 220 00:13:23,640 --> 00:13:28,280 Speaker 1: has different products, different services, and just maybe even a 221 00:13:28,360 --> 00:13:32,360 Speaker 1: vertical bank just for restaurants or just for dry cleaners, 222 00:13:32,400 --> 00:13:35,320 Speaker 1: and that way they have the expertise and I think 223 00:13:35,320 --> 00:13:37,360 Speaker 1: they will clean up. I think that's a way to 224 00:13:37,760 --> 00:13:41,040 Speaker 1: win and invest as more technology comes into banking. Is 225 00:13:41,080 --> 00:13:43,520 Speaker 1: the regulatory framework that we have in this country right 226 00:13:43,559 --> 00:13:46,960 Speaker 1: now set up to really regulate it properly in your opinion? Well, 227 00:13:46,960 --> 00:13:49,480 Speaker 1: the short answer to that is no, and this longer 228 00:13:49,520 --> 00:13:53,560 Speaker 1: answer is absolutely no. The regulatory system in this country 229 00:13:53,640 --> 00:13:57,280 Speaker 1: is what I call spaghetti soup. There are seven regulators 230 00:13:57,320 --> 00:14:02,320 Speaker 1: who oversee small business lending, and in the midst of 231 00:14:02,320 --> 00:14:06,440 Speaker 1: that there's overlapping, there's confusion. A lot of people say, well, 232 00:14:06,520 --> 00:14:09,160 Speaker 1: let's just get rid of all that regulation and then 233 00:14:09,200 --> 00:14:12,000 Speaker 1: everything will flow in community banks will come back. But 234 00:14:12,080 --> 00:14:15,800 Speaker 1: that's actually not the answer. It's not less regulation. It's 235 00:14:15,800 --> 00:14:21,280 Speaker 1: of course smart regulation. That means that the new regulations 236 00:14:21,440 --> 00:14:24,840 Speaker 1: need to think about what's in the black box. Who 237 00:14:24,920 --> 00:14:28,680 Speaker 1: owns the data? What if a small business gets a rejection, 238 00:14:28,840 --> 00:14:32,120 Speaker 1: can they see what went into the algorithm? How are 239 00:14:32,120 --> 00:14:35,440 Speaker 1: you going to figure out if there's a discrimination and 240 00:14:35,520 --> 00:14:39,160 Speaker 1: disparate impact. So I think the regulatory questions get thornier. 241 00:14:39,840 --> 00:14:41,880 Speaker 1: Karen Mills, We love having you on. Thank you for 242 00:14:41,920 --> 00:14:45,040 Speaker 1: being with us. Delighted to be here. Karen Karen Mills 243 00:14:45,040 --> 00:14:48,160 Speaker 1: a Senior Fellow at the Harvard Business School, former small 244 00:14:48,240 --> 00:14:52,240 Speaker 1: Business administrator for President Obama from two thousand nine through two, 245 00:14:53,280 --> 00:14:57,520 Speaker 1: and author, most importantly of a new book, Fintech, Small 246 00:14:57,560 --> 00:15:17,440 Speaker 1: Business and the American Dream dig into some of these questions. Well. 247 00:15:17,440 --> 00:15:19,960 Speaker 1: The news this morning is that black Rock is launching 248 00:15:19,960 --> 00:15:23,000 Speaker 1: a massive overhaul of its leadership to help navigate mounting 249 00:15:23,080 --> 00:15:27,120 Speaker 1: challenges across the asset management industry. From global expansion to 250 00:15:27,240 --> 00:15:30,160 Speaker 1: pressure on fees. To help us dig deeper into this story, 251 00:15:30,160 --> 00:15:33,800 Speaker 1: we welcome Annie Massa and he's a Bloomberg Finance reporter. 252 00:15:33,880 --> 00:15:36,600 Speaker 1: She joins us in our Bloomberg Interactive Brooker studio. Any 253 00:15:36,640 --> 00:15:38,920 Speaker 1: thanks so much for joining us. Why do you think 254 00:15:39,600 --> 00:15:42,320 Speaker 1: black Rock is doing this now? What is really changing 255 00:15:42,360 --> 00:15:45,080 Speaker 1: their business? I think that one of the key themes 256 00:15:45,080 --> 00:15:47,840 Speaker 1: that they're trying to address with this leadership change is 257 00:15:48,480 --> 00:15:52,520 Speaker 1: the desire to grow globally. So they're the world's largest 258 00:15:52,520 --> 00:15:55,440 Speaker 1: asset manager already, but a lot of their revenue is 259 00:15:55,480 --> 00:15:59,360 Speaker 1: focused in the America's region, and Larry think Um black 260 00:15:59,400 --> 00:16:02,400 Speaker 1: Ocksy has made a big point of how he wants 261 00:16:02,480 --> 00:16:05,960 Speaker 1: to keep branching out the business and expand, especially in 262 00:16:06,000 --> 00:16:10,400 Speaker 1: regions like China and um In this UH News this morning, 263 00:16:10,840 --> 00:16:13,680 Speaker 1: Latin America is a big focus as well. So the 264 00:16:13,760 --> 00:16:16,880 Speaker 1: question that I have is how much is this a 265 00:16:17,520 --> 00:16:20,720 Speaker 1: leadership issue with or issue but a bit of positive 266 00:16:21,120 --> 00:16:23,920 Speaker 1: sign that black Rock is being proactive and trying to 267 00:16:24,000 --> 00:16:26,960 Speaker 1: keep its position as the world's biggest asset management and 268 00:16:27,000 --> 00:16:29,880 Speaker 1: how much is this a response and a reflection of 269 00:16:29,920 --> 00:16:33,240 Speaker 1: the challenges in the broader asset management industry. With shrinking 270 00:16:33,800 --> 00:16:37,080 Speaker 1: fees across the board, with the shift to passive and 271 00:16:37,200 --> 00:16:41,080 Speaker 1: just the increased competition. Yeah, asset managers are under a 272 00:16:41,080 --> 00:16:43,920 Speaker 1: lot of pressure. As you mentioned, fee pressure is one 273 00:16:43,960 --> 00:16:47,320 Speaker 1: of the biggest challenges I think, and especially the large 274 00:16:47,360 --> 00:16:49,960 Speaker 1: asset managers have just been locked in this UM grinding 275 00:16:49,960 --> 00:16:53,560 Speaker 1: competition over fees. But I mean one solution to that 276 00:16:53,760 --> 00:16:57,880 Speaker 1: is to develop client relationships in new places and and 277 00:16:57,960 --> 00:17:01,040 Speaker 1: try to take on more clients UM globally. So I 278 00:17:01,080 --> 00:17:04,040 Speaker 1: think that that's part of why they're why they're doing 279 00:17:04,080 --> 00:17:07,480 Speaker 1: this now UM as a way to address UM that 280 00:17:07,760 --> 00:17:10,159 Speaker 1: so is the expectation Annie that as they tried to 281 00:17:10,200 --> 00:17:14,280 Speaker 1: develop new businesses maybe diversified geographically, that we may see 282 00:17:14,320 --> 00:17:17,000 Speaker 1: black Rock, they're already the largest globally, may even get 283 00:17:17,119 --> 00:17:20,240 Speaker 1: try to get bigger via M and A. Definitely UM. 284 00:17:20,359 --> 00:17:25,040 Speaker 1: They've been pursuing UM some deal making globally to to 285 00:17:25,160 --> 00:17:28,400 Speaker 1: try and advance those goals. And one other thing I'll 286 00:17:28,440 --> 00:17:31,359 Speaker 1: add on on the fee side is they're trying to 287 00:17:31,760 --> 00:17:36,520 Speaker 1: grow their alternatives business as well. And so while you 288 00:17:36,600 --> 00:17:40,000 Speaker 1: see this expansion globally, you're also seeing an expansion in 289 00:17:40,119 --> 00:17:43,000 Speaker 1: terms of the types of offerings that they have for clients, 290 00:17:43,280 --> 00:17:45,760 Speaker 1: and the alternatives has has been a big focus for them. 291 00:17:45,960 --> 00:17:48,200 Speaker 1: Let's dig into what alternatives is. Are you talking about 292 00:17:48,200 --> 00:17:51,960 Speaker 1: private equity and distressed dead hedge funds and things like that. 293 00:17:51,960 --> 00:17:55,320 Speaker 1: That's exactly right. So one example that we just reported 294 00:17:55,320 --> 00:17:58,160 Speaker 1: on this week is black Rock has this long term 295 00:17:58,200 --> 00:18:01,000 Speaker 1: private capital vehicle. It's kind of like a private equity 296 00:18:01,040 --> 00:18:04,760 Speaker 1: type vehicle that they announced last year. So they've secured 297 00:18:04,800 --> 00:18:08,320 Speaker 1: their first round of funding for this UM. They didn't 298 00:18:08,920 --> 00:18:11,360 Speaker 1: reach their goals yet. They want to raise as much 299 00:18:11,400 --> 00:18:14,840 Speaker 1: as ten to twelve billion UM for this vehicle. They've 300 00:18:14,840 --> 00:18:17,600 Speaker 1: got about UM two point seven five billion already. What 301 00:18:17,640 --> 00:18:19,840 Speaker 1: does it say that that it's taking longer than they 302 00:18:19,840 --> 00:18:22,480 Speaker 1: had expected to raise the money for this. It's a 303 00:18:22,560 --> 00:18:26,240 Speaker 1: challenging environment and it's not exactly the type of arena 304 00:18:26,280 --> 00:18:30,320 Speaker 1: that you can arrive in and um, you know, just 305 00:18:30,400 --> 00:18:32,879 Speaker 1: take over completely. It won't happen in the blink of 306 00:18:32,920 --> 00:18:36,040 Speaker 1: an eye. UM. So it's taking a bit longer than expected. 307 00:18:36,119 --> 00:18:39,320 Speaker 1: But it shows, I mean, especially with the reorgan today, 308 00:18:39,600 --> 00:18:41,439 Speaker 1: it shows that they've got a lot of focus on 309 00:18:41,480 --> 00:18:44,560 Speaker 1: this and and they're trying to like meaningfully grow UM 310 00:18:44,560 --> 00:18:48,760 Speaker 1: in outside of their gigantic index business. So any does 311 00:18:48,840 --> 00:18:52,280 Speaker 1: is also this management overhaul Today's is also addressed maybe 312 00:18:52,359 --> 00:18:55,600 Speaker 1: succession issue for Larry Fink. Are we kind of setting 313 00:18:55,640 --> 00:18:58,800 Speaker 1: up a two horse race here for to succeed Larry. 314 00:18:59,000 --> 00:19:02,919 Speaker 1: It's it's more than two horses. It's actually a whole stable. UM. 315 00:19:03,080 --> 00:19:07,119 Speaker 1: But today today, specifically, we've got UM a couple a 316 00:19:07,119 --> 00:19:09,439 Speaker 1: couple of the people that have been widely seen as 317 00:19:09,480 --> 00:19:12,080 Speaker 1: in the running. We're in play here, so especially Mark 318 00:19:12,160 --> 00:19:15,760 Speaker 1: McComb UM. They've created a new role for UM of 319 00:19:15,880 --> 00:19:20,800 Speaker 1: Chief Client Officer UM. But there are several people in 320 00:19:20,840 --> 00:19:23,520 Speaker 1: the running. And Larry think has actually said that he 321 00:19:23,680 --> 00:19:27,280 Speaker 1: likes to UM look at management this way instead of 322 00:19:27,320 --> 00:19:30,320 Speaker 1: just having one air apparent, have a whole bunch of 323 00:19:30,320 --> 00:19:33,960 Speaker 1: people in UM, these higher up roles, shuffle them around 324 00:19:34,200 --> 00:19:36,760 Speaker 1: and UM, you know, leadership is kind of about the 325 00:19:36,840 --> 00:19:42,359 Speaker 1: dynamics UM interpersonally that happened there. Does this reorganization include 326 00:19:42,400 --> 00:19:45,120 Speaker 1: further layoffs in addition to the five hundred announced cuts 327 00:19:45,160 --> 00:19:47,240 Speaker 1: that they've already made this year? The cuts that were 328 00:19:47,240 --> 00:19:50,639 Speaker 1: announced earlier this year, UM are all that we know 329 00:19:50,680 --> 00:19:53,800 Speaker 1: of right now. UM, But yeah, it is important to 330 00:19:53,840 --> 00:19:58,159 Speaker 1: note that with the expansion and the reshuffling. Um there 331 00:19:58,160 --> 00:20:01,320 Speaker 1: there were all there were also those massive headcount cuts 332 00:20:01,359 --> 00:20:05,720 Speaker 1: that came early in January. So anyways, this overall black Rock, 333 00:20:05,920 --> 00:20:08,200 Speaker 1: are they how profitable are they right now? I'm trying 334 00:20:08,200 --> 00:20:09,679 Speaker 1: to get a sense of whether this is you know, 335 00:20:09,720 --> 00:20:11,679 Speaker 1: coming from a position of strength or they're just like, 336 00:20:11,720 --> 00:20:14,480 Speaker 1: oh boy, our business is really in trouble. Well, I 337 00:20:14,520 --> 00:20:16,960 Speaker 1: mean they are the world's artist asset manager. They have 338 00:20:17,000 --> 00:20:20,360 Speaker 1: the biggest ETF business in the world. So I wouldn't 339 00:20:20,400 --> 00:20:23,640 Speaker 1: say it would be I think a stretch to say 340 00:20:23,720 --> 00:20:27,679 Speaker 1: that they're um under tons of pressure there, but I 341 00:20:27,720 --> 00:20:30,480 Speaker 1: mean asset management changes all the time. This is a 342 00:20:30,520 --> 00:20:33,399 Speaker 1: business that for thirty years has been you know, growing 343 00:20:33,440 --> 00:20:36,879 Speaker 1: through acquisition and now I think, um, you know, the 344 00:20:36,920 --> 00:20:40,159 Speaker 1: global focus is really important to them, um as they 345 00:20:40,200 --> 00:20:43,840 Speaker 1: try to kind of chart the next um, you know, expansion. 346 00:20:44,240 --> 00:20:46,359 Speaker 1: Annie Massa, thank you so much for joining us. Annie 347 00:20:46,359 --> 00:20:50,440 Speaker 1: Massa covers black Rock and asset management for us here 348 00:20:50,560 --> 00:21:10,480 Speaker 1: at Bloomberg joining us and our Bloomberg Interactive Brokers Studios. Paul, 349 00:21:10,560 --> 00:21:13,280 Speaker 1: we talk a lot about five G and how it 350 00:21:13,320 --> 00:21:18,760 Speaker 1: can transform the entire communications and frankly uh technological landscape. 351 00:21:18,960 --> 00:21:22,359 Speaker 1: Four nations. Certainly the U, S and China have been 352 00:21:22,840 --> 00:21:27,800 Speaker 1: sort of facing off in this battle for five G supremacy. 353 00:21:27,880 --> 00:21:31,440 Speaker 1: Joining US now is Meredith Meredith at Well Baker c 354 00:21:31,640 --> 00:21:34,920 Speaker 1: t I, a president and CEO former Commissioner of the 355 00:21:34,960 --> 00:21:37,879 Speaker 1: f CC. She was appointed by President Barack Obama in 356 00:21:37,880 --> 00:21:40,639 Speaker 1: two thousand nine, serving on the f c C until 357 00:21:40,640 --> 00:21:43,159 Speaker 1: two thousand and eleven. Meredith, thank you so much for 358 00:21:43,240 --> 00:21:46,879 Speaker 1: being with us. So you're saying that you think the 359 00:21:47,000 --> 00:21:50,159 Speaker 1: US has actually started to take the lead with the 360 00:21:50,280 --> 00:21:54,959 Speaker 1: race for five G technology, please explain well, first of all, 361 00:21:55,000 --> 00:21:56,640 Speaker 1: Lisa and Paul, thanks so much for having me. I'm 362 00:21:56,640 --> 00:21:59,359 Speaker 1: pleased to be with you. Guys, Um and um, what 363 00:21:59,480 --> 00:22:01,960 Speaker 1: are our stages is? We're just releasing a paper today 364 00:22:02,000 --> 00:22:05,440 Speaker 1: from Analysis Recun that says that, you know, a year ago, 365 00:22:05,640 --> 00:22:08,159 Speaker 1: China and South Korea led the five G race, but 366 00:22:08,240 --> 00:22:10,920 Speaker 1: the US was close behind, and really because of the 367 00:22:11,000 --> 00:22:15,480 Speaker 1: quick actions of our administration and the FCC and Congress 368 00:22:15,880 --> 00:22:19,520 Speaker 1: were tied in we're tied with China. Overall. US is 369 00:22:19,600 --> 00:22:22,000 Speaker 1: first in private investment, and we're first and high and 370 00:22:22,040 --> 00:22:27,120 Speaker 1: low band availability, but overall we're tied with China. So again, 371 00:22:27,119 --> 00:22:29,560 Speaker 1: what are really the metrics that you define to say 372 00:22:29,600 --> 00:22:33,960 Speaker 1: who's winning or losing, because it's my understanding that not 373 00:22:34,080 --> 00:22:36,640 Speaker 1: only were we be behind China, but we were well 374 00:22:36,680 --> 00:22:40,640 Speaker 1: behind China. Well, the US leads commercial deployments, and we'll 375 00:22:40,680 --> 00:22:43,520 Speaker 1: have twice the number of other nations by the end 376 00:22:43,560 --> 00:22:47,159 Speaker 1: of twenty and remember that China won't have a single 377 00:22:47,240 --> 00:22:49,439 Speaker 1: deployment by the end of the year. We're looking at 378 00:22:49,480 --> 00:22:53,840 Speaker 1: having over ninety deployments. All right. So the reason why 379 00:22:53,960 --> 00:22:56,359 Speaker 1: one reason why we're raising that is because we spoke 380 00:22:56,400 --> 00:22:58,400 Speaker 1: with a couple of weeks ago, we spoke with Susan Crawford, 381 00:22:58,400 --> 00:23:02,119 Speaker 1: who's a Harvard law professor and a former special assistant 382 00:23:02,160 --> 00:23:05,760 Speaker 1: during the Obama invest administration as well. Uh, and she 383 00:23:05,880 --> 00:23:08,119 Speaker 1: just wrote a book saying the coming Tech Revolution and 384 00:23:08,160 --> 00:23:10,840 Speaker 1: why America might miss it, about how the US is 385 00:23:10,880 --> 00:23:15,000 Speaker 1: profoundly behind in five G I'm just wondering, you know, how, 386 00:23:15,040 --> 00:23:19,040 Speaker 1: how could you give us some confidence as you know 387 00:23:19,359 --> 00:23:23,160 Speaker 1: that that that what you're saying is is more accurate. Um, well, 388 00:23:23,200 --> 00:23:26,080 Speaker 1: I mean the metrics of the paper, certainly the investment 389 00:23:26,200 --> 00:23:31,280 Speaker 1: of our companies is um you know, uh, three hundred 390 00:23:31,320 --> 00:23:33,720 Speaker 1: it's gonna add you know, the jobs and the numbers 391 00:23:33,760 --> 00:23:36,160 Speaker 1: that it is going to add to the economy. It's 392 00:23:36,280 --> 00:23:40,439 Speaker 1: three billion dollars. You talked about the the UM what 393 00:23:40,640 --> 00:23:44,080 Speaker 1: is going to bring to you know, all all of 394 00:23:44,119 --> 00:23:47,320 Speaker 1: the United States and our numbers or three and a 395 00:23:47,400 --> 00:23:50,880 Speaker 1: hundred one point eight million new jobs. UM. We look 396 00:23:51,000 --> 00:23:53,640 Speaker 1: at what the companies are investing. And if you look 397 00:23:53,680 --> 00:23:56,000 Speaker 1: at A T and T and Verizon the top investing 398 00:23:56,000 --> 00:23:59,159 Speaker 1: companies in the country, UM, and so what they are 399 00:23:59,160 --> 00:24:02,879 Speaker 1: willing to invest, what they have invested. After the administration 400 00:24:03,080 --> 00:24:06,800 Speaker 1: had tax reform, and after the FCC lowered the barriers 401 00:24:06,880 --> 00:24:11,000 Speaker 1: for entry for citing these new small cells, companies are 402 00:24:11,119 --> 00:24:14,080 Speaker 1: quadrupling the number of small cells that they're installing. So 403 00:24:14,440 --> 00:24:16,560 Speaker 1: I think not only are we looking at as a 404 00:24:16,600 --> 00:24:18,639 Speaker 1: global race, we have a race going on here in 405 00:24:18,640 --> 00:24:20,800 Speaker 1: the United States as to which company is going to 406 00:24:20,840 --> 00:24:24,440 Speaker 1: be first for five G deployments. And um, they're they're 407 00:24:24,440 --> 00:24:26,560 Speaker 1: engaged in a battle. I guess that there's a question 408 00:24:26,600 --> 00:24:30,399 Speaker 1: can the US gained supremacy with five G without the 409 00:24:30,480 --> 00:24:33,240 Speaker 1: government actually financing some of this? Does it have to 410 00:24:33,280 --> 00:24:37,280 Speaker 1: be all driven by corporate spending? Well, the free market 411 00:24:37,359 --> 00:24:40,120 Speaker 1: is policies of what have made the disference in our 412 00:24:40,200 --> 00:24:43,679 Speaker 1: winning four G and I but from every indication that 413 00:24:43,720 --> 00:24:46,720 Speaker 1: we see it's going to make the UM difference in 414 00:24:46,800 --> 00:24:51,399 Speaker 1: five G. So UM, we don't we feel like five G. 415 00:24:52,400 --> 00:24:54,719 Speaker 1: We are on a great path for five G right 416 00:24:54,760 --> 00:24:57,920 Speaker 1: now and we don't need anything except for some more 417 00:24:58,040 --> 00:25:00,679 Speaker 1: midband spectrum, which is the last ask key to the 418 00:25:00,680 --> 00:25:03,639 Speaker 1: piece of the five G puzzle for the carriers. Speaking 419 00:25:03,640 --> 00:25:06,600 Speaker 1: with Meredith at well Baker c t I, a president 420 00:25:06,600 --> 00:25:09,320 Speaker 1: and CEO on five gene and deployment of five G 421 00:25:09,440 --> 00:25:12,080 Speaker 1: in the US. So Meredith, maybe just you know, really 422 00:25:12,119 --> 00:25:14,720 Speaker 1: a basic point here maybe for our listeners is just 423 00:25:14,800 --> 00:25:18,880 Speaker 1: explain why five G is important. Yeah, I think that's 424 00:25:19,119 --> 00:25:21,400 Speaker 1: that's great. To take it up a step. UM, five 425 00:25:21,440 --> 00:25:24,000 Speaker 1: G is the next generation of wireless services. It's going 426 00:25:24,040 --> 00:25:27,360 Speaker 1: to be a hundred times faster, it's going to support 427 00:25:27,440 --> 00:25:32,080 Speaker 1: a hundred times more devices, and it's importantly gonna unlock 428 00:25:32,160 --> 00:25:35,719 Speaker 1: real time applications, meaning that there's no lag time. So 429 00:25:35,800 --> 00:25:39,679 Speaker 1: when we talk about you know, uh, telemedicine, when we 430 00:25:39,680 --> 00:25:44,400 Speaker 1: talk about autonomous cars, this is really what can transform that. UM. 431 00:25:44,440 --> 00:25:47,840 Speaker 1: It's gonna really every industry is going to be transformed, 432 00:25:47,880 --> 00:25:51,080 Speaker 1: from healthcare to education UM, and and really it's going 433 00:25:51,119 --> 00:25:54,560 Speaker 1: to foster new industries of the future, from augmented reality 434 00:25:54,640 --> 00:25:58,720 Speaker 1: to artificial intelligence. When we rolled out the four G technology, 435 00:25:58,760 --> 00:26:01,480 Speaker 1: we didn't know what we were rolling out. We didn't 436 00:26:01,480 --> 00:26:04,080 Speaker 1: know that we were going to create a sharing economy 437 00:26:04,400 --> 00:26:07,439 Speaker 1: and companies like Uber. So while we can see and 438 00:26:07,480 --> 00:26:11,560 Speaker 1: we're starting to see the real time case scenarios um 439 00:26:11,600 --> 00:26:16,760 Speaker 1: in certain certain um inventions that we're seeing different entrepreneurs 440 00:26:16,760 --> 00:26:19,320 Speaker 1: in the five G world, we still don't exactly know 441 00:26:19,400 --> 00:26:22,080 Speaker 1: what what it will spark and what it will mean 442 00:26:22,119 --> 00:26:25,439 Speaker 1: to the entire economy. But we do know. We do 443 00:26:25,520 --> 00:26:28,600 Speaker 1: know it's the platform for tomorrow's economy, and that's that's 444 00:26:28,600 --> 00:26:30,879 Speaker 1: why every nation wants to lead in five G. One 445 00:26:31,359 --> 00:26:33,639 Speaker 1: question is, you know, if it is setting out the 446 00:26:33,720 --> 00:26:37,760 Speaker 1: platform for the new economy, why shouldn't there be sort 447 00:26:37,800 --> 00:26:41,800 Speaker 1: of some sort of oversight, like the utility kind of 448 00:26:41,840 --> 00:26:45,440 Speaker 1: structure for this, given that it is something that will 449 00:26:45,480 --> 00:26:51,240 Speaker 1: be and is already so uh fundamental. Well, that's a 450 00:26:51,240 --> 00:26:53,479 Speaker 1: good question, and from a farmer regulator's point of view, 451 00:26:53,520 --> 00:26:55,679 Speaker 1: is certainly something that I have have looked at. But 452 00:26:56,000 --> 00:26:58,639 Speaker 1: it is the free market policies and it is the 453 00:26:58,680 --> 00:27:01,720 Speaker 1: innovation of this economy me that moves so quickly that 454 00:27:01,760 --> 00:27:05,520 Speaker 1: it's very hard for some of oversight like utilities. Um. 455 00:27:06,080 --> 00:27:09,320 Speaker 1: You know, we people get new phones every two years, 456 00:27:09,359 --> 00:27:13,720 Speaker 1: the network changes every three months. Um so I think. Um, 457 00:27:13,760 --> 00:27:16,440 Speaker 1: we in the United States have come to a regulatory 458 00:27:16,480 --> 00:27:20,439 Speaker 1: perspective that when something goes wrong, we will fix it, 459 00:27:20,680 --> 00:27:23,280 Speaker 1: but we don't build a house of regulation around something 460 00:27:23,320 --> 00:27:27,359 Speaker 1: just in case it happens. Understood, Meredith at well Baker, 461 00:27:27,400 --> 00:27:29,359 Speaker 1: Thank you so much. Meredith as a c t I 462 00:27:29,520 --> 00:27:32,240 Speaker 1: A president and CEO, a former commissioner at the FCC, 463 00:27:32,800 --> 00:27:36,040 Speaker 1: I think with some interesting data coming out of the 464 00:27:36,040 --> 00:27:38,920 Speaker 1: c t I A suggesting that the US is deployment 465 00:27:38,960 --> 00:27:43,159 Speaker 1: of five g H is not behind those of some 466 00:27:43,240 --> 00:27:45,320 Speaker 1: of the Asian countries like China and create but in 467 00:27:45,359 --> 00:27:48,880 Speaker 1: fact maybe closer to you, maybe more on part Thanks 468 00:27:48,920 --> 00:27:51,080 Speaker 1: for listening to the Bloomberg P and L podcast. You 469 00:27:51,119 --> 00:27:53,760 Speaker 1: can subscribe and listen to interviews at Apple Podcasts or 470 00:27:53,800 --> 00:27:57,119 Speaker 1: whatever podcast platform you prefer. Paul Sweeney, I'm on Twitter 471 00:27:57,200 --> 00:27:59,959 Speaker 1: at pt Sweeney. Lisa bram Woyds I'm on Twitter at 472 00:28:00,080 --> 00:28:02,879 Speaker 1: Lisa Abramo. It's one before the podcast. You can always 473 00:28:02,880 --> 00:28:07,080 Speaker 1: catch us worldwide on Bloomberg Radiom