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 --> 00:00:07,760 Speaker 1: along with my co host Lisa Brahmawitz. Each day we 3 00:00:07,880 --> 00:00:10,399 Speaker 1: bring you the most noteworthy and useful interviews for you 4 00:00:10,520 --> 00:00:12,640 Speaker 1: and your money, whether at the grocery store or the 5 00:00:12,640 --> 00:00:15,960 Speaker 1: trading floor. Find a Bloomberg Penl podcast on Apple podcast 6 00:00:16,120 --> 00:00:18,040 Speaker 1: or wherever you listen to podcasts, as well as at 7 00:00:18,079 --> 00:00:23,400 Speaker 1: Bloomberg dot com. We'll trade tensions between the US and 8 00:00:23,440 --> 00:00:27,200 Speaker 1: some of its leading trading partners continued to escalate. First 9 00:00:27,280 --> 00:00:30,480 Speaker 1: it was China, uh, then Mexico and now India. To 10 00:00:30,560 --> 00:00:32,280 Speaker 1: get a sense of where we go next, we welcome 11 00:00:32,280 --> 00:00:36,400 Speaker 1: our next guest, end Nordvig, founder in CEO of Exante 12 00:00:36,560 --> 00:00:40,920 Speaker 1: Data LLC, also a chief strategist there at Exante based 13 00:00:40,920 --> 00:00:44,360 Speaker 1: in New York City, YenS, Thanks so much for joining us. Um. 14 00:00:44,400 --> 00:00:47,640 Speaker 1: It just seems like these concentric circles of ever growing 15 00:00:47,640 --> 00:00:50,839 Speaker 1: trade tensions continue to widen. What is your sense of 16 00:00:50,880 --> 00:00:56,880 Speaker 1: how this will play out for US economic growth? Yeah, 17 00:00:56,920 --> 00:00:59,760 Speaker 1: I have to say it's rudy Stantin to be a 18 00:00:59,800 --> 00:01:02,960 Speaker 1: so a big compounding effect in the sense that, okay, 19 00:01:03,080 --> 00:01:06,880 Speaker 1: maybe the US economy could sort of take one trade 20 00:01:06,920 --> 00:01:09,320 Speaker 1: war but when you start to have multiple trade wars 21 00:01:09,360 --> 00:01:13,240 Speaker 1: at the same time, it becomes much harder to handle. 22 00:01:13,360 --> 00:01:19,959 Speaker 1: So obviously, having a small amount of tariffs on as 23 00:01:20,000 --> 00:01:23,240 Speaker 1: a small portion of trade is one thing, and we 24 00:01:23,360 --> 00:01:26,959 Speaker 1: had that initially with the steel terroriffs. But we're starting 25 00:01:27,000 --> 00:01:30,120 Speaker 1: to look at a situation where we could have tariffs 26 00:01:30,120 --> 00:01:34,600 Speaker 1: on all imports from China. And the process that we're 27 00:01:34,640 --> 00:01:38,080 Speaker 1: in now with Mexico starts from a low level of terrorists, 28 00:01:38,120 --> 00:01:42,039 Speaker 1: but it is potentially on all goods ramping up to 29 00:01:43,160 --> 00:01:47,160 Speaker 1: so if this goes the wrong way, we're really looking 30 00:01:47,160 --> 00:01:50,000 Speaker 1: at a situation where you have tariffs on a very, 31 00:01:50,120 --> 00:01:54,800 Speaker 1: very big number of imports. And most of the research 32 00:01:54,840 --> 00:01:56,920 Speaker 1: has coming out on how this feed through into the 33 00:01:56,960 --> 00:02:00,880 Speaker 1: economy suggests that US consumers pay really the bulk of 34 00:02:00,920 --> 00:02:03,640 Speaker 1: the bill, and that's how you you get a really 35 00:02:03,720 --> 00:02:06,880 Speaker 1: big negative impact on the US economy. What's interesting to 36 00:02:06,960 --> 00:02:10,040 Speaker 1: me and is where the havens have been. I mean, 37 00:02:10,040 --> 00:02:13,440 Speaker 1: we've seen people flood into the dollar, the broad Dollar 38 00:02:13,600 --> 00:02:18,160 Speaker 1: index gaining about a half a percentage point last month. Meanwhile, 39 00:02:18,200 --> 00:02:21,200 Speaker 1: we're also seeing people flood into US treasury, so US 40 00:02:21,280 --> 00:02:24,720 Speaker 1: the sort of biggest beneficiary. UH, so far do you 41 00:02:24,720 --> 00:02:28,400 Speaker 1: think that's going to continue. Yes. I think when you 42 00:02:28,480 --> 00:02:33,400 Speaker 1: had the US China tension really driving things, it made 43 00:02:33,440 --> 00:02:36,839 Speaker 1: some sense that there was a sort of positive dollar 44 00:02:36,840 --> 00:02:40,160 Speaker 1: effect for a period of time, and that was linked 45 00:02:40,160 --> 00:02:42,000 Speaker 1: to the fact that, Okay, China is a big part 46 00:02:42,000 --> 00:02:45,720 Speaker 1: of the global economy, so the global growth situation with 47 00:02:45,760 --> 00:02:48,240 Speaker 1: the terra rate and also the Chinese currency is such 48 00:02:48,240 --> 00:02:50,600 Speaker 1: a big drive of global currency markets that if the 49 00:02:50,680 --> 00:02:54,840 Speaker 1: Chinese currency was weakening, it was going to essentially push 50 00:02:54,880 --> 00:02:57,560 Speaker 1: a lot of other currencies down with it and sort 51 00:02:57,560 --> 00:03:00,399 Speaker 1: of implicitly generate dollar strength. But I think one once 52 00:03:00,440 --> 00:03:05,480 Speaker 1: you escalate the trade war to include Mexico, it becomes 53 00:03:05,480 --> 00:03:07,960 Speaker 1: different because number one day, the hit to the U 54 00:03:08,040 --> 00:03:12,839 Speaker 1: s economy is disproportionate larger, in part because Mexico has 55 00:03:12,919 --> 00:03:16,720 Speaker 1: more imports from the US that they can retaliate against, 56 00:03:17,120 --> 00:03:19,799 Speaker 1: but also just because those two effects start to stack 57 00:03:19,919 --> 00:03:22,120 Speaker 1: up to on top of each other and and the 58 00:03:22,200 --> 00:03:25,799 Speaker 1: FED really is forced to respond more forcefully. And that's 59 00:03:25,800 --> 00:03:29,120 Speaker 1: what you're started to see obviously in FED pricing having 60 00:03:29,120 --> 00:03:32,680 Speaker 1: moved very aggressively. So now not only are we pricing 61 00:03:32,800 --> 00:03:35,640 Speaker 1: a FED cut by September, but we're really starting to 62 00:03:35,680 --> 00:03:38,280 Speaker 1: pry a high probability that the Fed will be forced 63 00:03:38,320 --> 00:03:42,240 Speaker 1: to move sooner than that. It's a pretty extraordinarily quick shift. 64 00:03:42,360 --> 00:03:45,160 Speaker 1: And the rate moves are now such that that the 65 00:03:45,240 --> 00:03:48,280 Speaker 1: dollar is starting to take a hit, And I think, 66 00:03:48,360 --> 00:03:51,720 Speaker 1: right this so and I think the problem is that 67 00:03:51,760 --> 00:03:53,720 Speaker 1: we've we've come from a period where the dollar has 68 00:03:53,720 --> 00:03:57,720 Speaker 1: been strong for about a year, So momentum starts to turn, 69 00:03:58,440 --> 00:04:00,480 Speaker 1: there could be a lot of technical adjust ones that 70 00:04:00,480 --> 00:04:02,960 Speaker 1: that can really put the dollar on quite a bit 71 00:04:03,000 --> 00:04:05,680 Speaker 1: of pressure. And today might be a really important day 72 00:04:05,680 --> 00:04:09,200 Speaker 1: because the euros down to move. Gold is having a 73 00:04:09,320 --> 00:04:11,880 Speaker 1: very big move today, which is typically a reflection of 74 00:04:11,920 --> 00:04:15,120 Speaker 1: the broader dollar direction. So it's a quite important day 75 00:04:15,160 --> 00:04:17,839 Speaker 1: for the currency market today, I would argue. So, yeah, 76 00:04:18,080 --> 00:04:20,679 Speaker 1: staying with the currency markets, the when we think about China, 77 00:04:20,720 --> 00:04:23,880 Speaker 1: in particular the trade tensions there to what extent I mean, 78 00:04:23,960 --> 00:04:27,320 Speaker 1: historically the Japanese yen has been perceived as a safe haven. 79 00:04:27,640 --> 00:04:31,040 Speaker 1: Do you still consider that to be the case? Yes, 80 00:04:31,160 --> 00:04:35,000 Speaker 1: I think the yen has has clearly participated in this 81 00:04:35,279 --> 00:04:39,080 Speaker 1: UH dynamic over the last few sessions where the dollar 82 00:04:39,160 --> 00:04:43,920 Speaker 1: is trading on the back foot, and that has generated 83 00:04:44,080 --> 00:04:46,680 Speaker 1: a decent size move. Thow on dollar yen. It's not 84 00:04:46,760 --> 00:04:49,320 Speaker 1: like a big break from the range we've seen the 85 00:04:49,400 --> 00:04:51,080 Speaker 1: last couple of years. We've sort of been in a 86 00:04:51,800 --> 00:04:54,640 Speaker 1: in a one oh five one of fifteen range, which 87 00:04:54,640 --> 00:04:57,400 Speaker 1: is relatively now a range over the last two three years. 88 00:04:57,960 --> 00:05:00,560 Speaker 1: So the big question is whether we're gonna really break 89 00:05:00,600 --> 00:05:04,120 Speaker 1: out of that range. And I think there's two big 90 00:05:04,200 --> 00:05:07,480 Speaker 1: questions that The one question is, okay, a Japanese investor 91 00:05:07,560 --> 00:05:10,840 Speaker 1: is going to start to hitch the US assets Differently 92 00:05:11,040 --> 00:05:13,680 Speaker 1: if we're looking at potentially a big slow adown in 93 00:05:13,800 --> 00:05:17,080 Speaker 1: US growth and the fail actually cutting rates, So that's 94 00:05:17,120 --> 00:05:19,599 Speaker 1: something that that certainly will come into play if if 95 00:05:19,839 --> 00:05:23,480 Speaker 1: the FED really delivers and they carry involved in in 96 00:05:23,480 --> 00:05:26,320 Speaker 1: in this trade and therefore the cost of hedging comes down. 97 00:05:26,880 --> 00:05:28,840 Speaker 1: And then the other thing that that's really important to 98 00:05:28,880 --> 00:05:32,760 Speaker 1: the end is Japanese companies have been on a bit 99 00:05:32,839 --> 00:05:35,280 Speaker 1: of a buying spree in terms of buying up other 100 00:05:35,360 --> 00:05:38,800 Speaker 1: companies around the world m and a activity that could 101 00:05:38,880 --> 00:05:41,440 Speaker 1: be in question if we have a real sort of 102 00:05:41,480 --> 00:05:45,359 Speaker 1: tense global environment, and that would also see the end 103 00:05:45,400 --> 00:05:48,480 Speaker 1: strength and if that outflow stops. So I think there's 104 00:05:48,480 --> 00:05:51,080 Speaker 1: a chance we can break out of this range. The 105 00:05:51,360 --> 00:05:53,560 Speaker 1: big thing to watch in the short term is is 106 00:05:53,640 --> 00:05:58,080 Speaker 1: this theme of escalation sticking, Like are we going to 107 00:05:58,160 --> 00:06:01,000 Speaker 1: have the escalation on June ten with the tariffs actually 108 00:06:01,040 --> 00:06:05,160 Speaker 1: coming into effect in relation to Mexico, and then are 109 00:06:05,160 --> 00:06:09,040 Speaker 1: we going to have some kind of positive headlines at 110 00:06:09,040 --> 00:06:11,400 Speaker 1: the G twenty meeting when when it takes place in 111 00:06:11,680 --> 00:06:14,200 Speaker 1: Japan at the end of the month, or are we 112 00:06:14,279 --> 00:06:16,320 Speaker 1: just going to literally move to the full blown trade 113 00:06:16,320 --> 00:06:18,680 Speaker 1: war versus China. I think those are the really key 114 00:06:18,720 --> 00:06:21,040 Speaker 1: things to watch there. How much for the dollar weaken 115 00:06:21,120 --> 00:06:25,240 Speaker 1: in your view? So I think if if the FED 116 00:06:25,720 --> 00:06:29,880 Speaker 1: is really delivering cuts here in coming months, and we 117 00:06:30,000 --> 00:06:36,200 Speaker 1: have an environment where where perhaps the Chinese actually hold 118 00:06:36,600 --> 00:06:39,360 Speaker 1: their currency, so that's a key one. But if the 119 00:06:39,440 --> 00:06:42,400 Speaker 1: Chinese don't allow their currency to move, then I think 120 00:06:42,440 --> 00:06:45,680 Speaker 1: we're in an environment where the dollar can weaken meaningfully. 121 00:06:45,680 --> 00:06:50,159 Speaker 1: But if the Chinese allow their currency to break seven, 122 00:06:50,279 --> 00:06:54,400 Speaker 1: so a depreciation beyond what they've allowed in recent years, 123 00:06:55,040 --> 00:06:58,320 Speaker 1: then you have a sort of tricky situation with as 124 00:06:58,960 --> 00:07:02,880 Speaker 1: dollar bearish impulse from the FED, but actually accounts of 125 00:07:03,000 --> 00:07:05,440 Speaker 1: force from the direction of the Chinese currency. So it's 126 00:07:05,560 --> 00:07:09,120 Speaker 1: absolutely crucial whether the Chinese are going to hold the 127 00:07:09,200 --> 00:07:12,640 Speaker 1: currency here as they've done in recent weeks, or whether 128 00:07:12,680 --> 00:07:15,400 Speaker 1: they're going to allow a break of seven if we 129 00:07:15,560 --> 00:07:19,400 Speaker 1: move to a full blown trade war. So yeah, it's 130 00:07:19,440 --> 00:07:23,160 Speaker 1: just given the uncertainty surrounding global trade, are there pockets 131 00:07:23,240 --> 00:07:28,440 Speaker 1: of relative safety that you're looking at in terms of currencies? Um, well, 132 00:07:28,600 --> 00:07:31,000 Speaker 1: I think I think one thing that's been very interesting 133 00:07:31,440 --> 00:07:33,640 Speaker 1: over the last week or so that I actually think 134 00:07:34,200 --> 00:07:39,120 Speaker 1: can continue is that we're now seeing that emerging market 135 00:07:39,160 --> 00:07:42,800 Speaker 1: currencies that had a really bad year over the last 136 00:07:42,880 --> 00:07:51,120 Speaker 1: year or so can actually start to perform better. So, um, 137 00:07:51,160 --> 00:07:54,160 Speaker 1: it's it's a situation where we have a sort of 138 00:07:54,160 --> 00:07:59,520 Speaker 1: bearish positioning in e M space that is now perhaps 139 00:07:59,520 --> 00:08:02,600 Speaker 1: too bare if we have a much low environment for 140 00:08:02,640 --> 00:08:06,160 Speaker 1: global yields, So I think EM currencies can start to 141 00:08:06,200 --> 00:08:09,640 Speaker 1: ironically do better, especially relative to other risk asses. So 142 00:08:09,680 --> 00:08:11,320 Speaker 1: for example, if to compare with the S and P, 143 00:08:11,840 --> 00:08:15,200 Speaker 1: I think currencies can do better. Nord Vig, thank you 144 00:08:15,240 --> 00:08:17,200 Speaker 1: so much for being with us. A really interesting call 145 00:08:17,280 --> 00:08:19,960 Speaker 1: there about how emerging market currencies will do well as 146 00:08:20,000 --> 00:08:23,400 Speaker 1: yields continue to go lower here in the United States. 147 00:08:23,480 --> 00:08:27,080 Speaker 1: YenS nord vigas founder and chief executive officer of Exante Data, 148 00:08:27,280 --> 00:08:44,760 Speaker 1: also chief strategist at Elexante Advisors. There's been a market 149 00:08:45,000 --> 00:08:47,920 Speaker 1: shift in sentiment from oh, China and the US will 150 00:08:47,960 --> 00:08:50,320 Speaker 1: come to some sort of deal to what will it 151 00:08:50,400 --> 00:08:53,480 Speaker 1: protracted trade war look like? Joining us now to think 152 00:08:53,520 --> 00:08:57,160 Speaker 1: about that is Carl Weinberg, Founder in chief international economist 153 00:08:57,200 --> 00:09:01,200 Speaker 1: at High Frequency Economics. Carl, let's start and fast forward 154 00:09:01,480 --> 00:09:04,880 Speaker 1: making some assumptions that trade wars rage on, the market 155 00:09:05,120 --> 00:09:09,079 Speaker 1: keeps declining, and an economic downturn ensues. What does that 156 00:09:09,160 --> 00:09:13,640 Speaker 1: economic downturn look like? Well, good morning, Lisa Um. You know, 157 00:09:13,760 --> 00:09:17,240 Speaker 1: the economic downturn that we're looking at worldwide right now 158 00:09:17,280 --> 00:09:19,840 Speaker 1: is a little bit broader than trade, but than the 159 00:09:20,000 --> 00:09:22,640 Speaker 1: trade wars, but it all has its roots in trade, 160 00:09:22,640 --> 00:09:25,560 Speaker 1: which is now flatter declining depending on the metric you 161 00:09:25,559 --> 00:09:29,640 Speaker 1: look at worldwide, and you know, companies that export are 162 00:09:29,679 --> 00:09:33,640 Speaker 1: the ones that are affected. First. Tariffs affect consumers make 163 00:09:33,679 --> 00:09:36,120 Speaker 1: them a little bit less reluctant to buy stuff because 164 00:09:36,120 --> 00:09:39,040 Speaker 1: they have less disposable income, is they're they're spending power 165 00:09:39,080 --> 00:09:42,040 Speaker 1: goes down. But the first reel hit is probably going 166 00:09:42,080 --> 00:09:44,000 Speaker 1: to be on the side of corporations that are going 167 00:09:44,040 --> 00:09:46,880 Speaker 1: to face supply chain issues. They're going to face cost 168 00:09:46,920 --> 00:09:51,120 Speaker 1: issues and then that will lead to financial market implications. So, 169 00:09:51,200 --> 00:09:55,679 Speaker 1: Dr Winberg, we got some disappointing US manufacturing data out today, 170 00:09:55,960 --> 00:09:58,080 Speaker 1: give us a sense of to the extent that these 171 00:09:58,120 --> 00:10:02,760 Speaker 1: trade skirmishes uncertainties continue, maybe even expand. If you think 172 00:10:02,800 --> 00:10:05,880 Speaker 1: about you know, India as well now being in the crosshairs, 173 00:10:06,280 --> 00:10:09,320 Speaker 1: how do you think the manufacturing community around the world 174 00:10:09,480 --> 00:10:13,240 Speaker 1: will respond, Good morning, Paul. Yes, everybody has got to 175 00:10:13,280 --> 00:10:16,920 Speaker 1: be alarmed by this because the expansion of the U. S. 176 00:10:16,960 --> 00:10:20,800 Speaker 1: Administration's tariff i'll call a tariff aggression to borrow language 177 00:10:20,800 --> 00:10:26,240 Speaker 1: from the Chinese UM basically undermines the confidence that companies 178 00:10:26,280 --> 00:10:29,920 Speaker 1: of all kinds all around the world face and making 179 00:10:29,960 --> 00:10:32,640 Speaker 1: business plans and decisions. They don't really know the cost 180 00:10:32,679 --> 00:10:35,040 Speaker 1: structure that they're going to face, they don't really know 181 00:10:35,120 --> 00:10:38,040 Speaker 1: the trade and the tariff regime, and as the FedEx 182 00:10:38,080 --> 00:10:40,600 Speaker 1: example indicates, they don't even know if they're going to 183 00:10:40,640 --> 00:10:45,120 Speaker 1: be constrained in their business. Enterprises and companies that resist 184 00:10:45,800 --> 00:10:49,480 Speaker 1: the tariff advances by the United States, the tariff increases. 185 00:10:49,520 --> 00:10:52,719 Speaker 1: So it's a general role of uncertainty, it's a role 186 00:10:52,760 --> 00:10:56,640 Speaker 1: of profit compression, and it's certainly in these uncertain times, 187 00:10:56,640 --> 00:10:59,240 Speaker 1: it's one that causes companies to cut back on investment 188 00:10:59,440 --> 00:11:01,839 Speaker 1: until the all clears, and of course that's always bad 189 00:11:01,880 --> 00:11:04,640 Speaker 1: for the world economy. You were saying earlier that there 190 00:11:04,679 --> 00:11:08,880 Speaker 1: will be financial market implications. Basically, the market's going to 191 00:11:08,960 --> 00:11:11,120 Speaker 1: sell off. Risk assets are going to sell off in 192 00:11:11,320 --> 00:11:16,319 Speaker 1: this scenario. How much is this going to be a crash? Like, yeah, Well, 193 00:11:16,320 --> 00:11:18,440 Speaker 1: you know, I was listening to Bloomberg Radio as I 194 00:11:18,480 --> 00:11:20,640 Speaker 1: was driving into the office this morning and heard you 195 00:11:20,679 --> 00:11:24,080 Speaker 1: guys talking about individual companies and the impacts that this 196 00:11:24,200 --> 00:11:27,079 Speaker 1: is having on their earnings forecasts, on their profit forecast, 197 00:11:27,400 --> 00:11:30,560 Speaker 1: on their general rural view of the world in there, 198 00:11:30,720 --> 00:11:33,559 Speaker 1: and their guidance to markets. So this is really how 199 00:11:33,640 --> 00:11:36,880 Speaker 1: it begins, you know, crashes. You know, I'm not in 200 00:11:36,920 --> 00:11:39,440 Speaker 1: the business of predicting crashes. You know, I don't think 201 00:11:39,480 --> 00:11:41,839 Speaker 1: we have to have a stock market crash. The stock 202 00:11:41,880 --> 00:11:45,080 Speaker 1: market is certainly high enough that some kind of correction 203 00:11:45,240 --> 00:11:48,840 Speaker 1: is probably coming anyway. This just increases the odds of 204 00:11:48,880 --> 00:11:51,280 Speaker 1: that happening. But a crash, you know that that's not 205 00:11:51,400 --> 00:11:54,000 Speaker 1: my domain to predict it. I don't have anything on 206 00:11:54,120 --> 00:11:57,200 Speaker 1: my horizon that will cause a crash. Dr Weinberg, I 207 00:11:57,200 --> 00:12:01,640 Speaker 1: think I have a straightforward question here. Who pays for tariffs? Oh, 208 00:12:01,720 --> 00:12:04,800 Speaker 1: that's a really straightforward question, very refreshing also because the 209 00:12:04,840 --> 00:12:08,199 Speaker 1: Trump administration has it all wrong when they raise tariffs 210 00:12:08,280 --> 00:12:11,840 Speaker 1: on things that come from China. You pay the tariffs, right, 211 00:12:11,880 --> 00:12:15,000 Speaker 1: not the Chinese. Now, the Chinese may lose themselves to 212 00:12:15,040 --> 00:12:18,400 Speaker 1: the United States, but since the exports are growing between 213 00:12:18,440 --> 00:12:21,080 Speaker 1: oh say, five and ten percent per year anyhow, they're 214 00:12:21,080 --> 00:12:23,120 Speaker 1: probably going to sell whatever they don't sell to you 215 00:12:23,200 --> 00:12:27,480 Speaker 1: to somebody else and um. In terms of the counterfeariling tariffs, 216 00:12:27,720 --> 00:12:30,559 Speaker 1: the Chinese have been very careful to tariff things for 217 00:12:30,640 --> 00:12:33,479 Speaker 1: which they consumers at home have a lot of substitutes, 218 00:12:33,520 --> 00:12:36,600 Speaker 1: like soybeans. Think by soybeans from any number of countries 219 00:12:36,600 --> 00:12:39,160 Speaker 1: in the world. They just buy less from the U. S. Farmer, 220 00:12:39,440 --> 00:12:41,440 Speaker 1: and the U. S. Farmer is the one who pays 221 00:12:41,880 --> 00:12:43,760 Speaker 1: the tariff. So at the end of the day, when 222 00:12:43,760 --> 00:12:46,200 Speaker 1: you go out to buy your iPad and you can't 223 00:12:46,200 --> 00:12:49,079 Speaker 1: buy it from any source other than China, you end 224 00:12:49,120 --> 00:12:51,760 Speaker 1: up paying the tariff. Your income to spend on other 225 00:12:51,800 --> 00:12:54,440 Speaker 1: things is reduced, and you're the one who then has 226 00:12:54,480 --> 00:12:58,120 Speaker 1: the vote to determine whether or not this regime is 227 00:12:58,120 --> 00:13:01,679 Speaker 1: going to continue. So one sort of theory, and President 228 00:13:01,679 --> 00:13:04,800 Speaker 1: Trump has put this out, is that eventually companies will 229 00:13:04,800 --> 00:13:08,480 Speaker 1: rejigger their supply chains so they don't rely on countries 230 00:13:08,720 --> 00:13:11,200 Speaker 1: that are the most tariff And this is sort of 231 00:13:11,200 --> 00:13:14,760 Speaker 1: the point of putting on these levies. I guess my 232 00:13:14,880 --> 00:13:16,880 Speaker 1: question is, you know, how do you respond to people 233 00:13:16,920 --> 00:13:19,040 Speaker 1: who say, look, this is temporary in order to get 234 00:13:19,400 --> 00:13:23,719 Speaker 1: the trading situation more fair, and then the US will 235 00:13:23,760 --> 00:13:26,679 Speaker 1: prosper as a result of it. A Lisa, you sound 236 00:13:26,679 --> 00:13:28,839 Speaker 1: like a Wall Street economist. You know, at the end 237 00:13:28,840 --> 00:13:30,800 Speaker 1: of the day, everything's going to be all right. But 238 00:13:30,920 --> 00:13:33,480 Speaker 1: until we get there, all right, we have to survive, 239 00:13:33,800 --> 00:13:36,640 Speaker 1: al right. A company who supply chain is interrupted today 240 00:13:36,960 --> 00:13:39,679 Speaker 1: has to live until tomorrow to be able to take 241 00:13:39,720 --> 00:13:43,199 Speaker 1: advantages of whatever is coming better and tomorrow. We economists 242 00:13:43,200 --> 00:13:49,240 Speaker 1: are always guilty of ignoring transition costs and transition obstacles 243 00:13:49,600 --> 00:13:52,840 Speaker 1: as we talk about one new situation being better than another. 244 00:13:53,120 --> 00:13:55,280 Speaker 1: You know, maybe we will or maybe we won't be 245 00:13:55,280 --> 00:13:57,840 Speaker 1: better off tomorrow. We can debate that forever. But for 246 00:13:57,880 --> 00:14:00,120 Speaker 1: a car company that has to source parts from a 247 00:14:00,160 --> 00:14:02,520 Speaker 1: country that can no longer trade with or at a 248 00:14:02,559 --> 00:14:06,480 Speaker 1: twenty higher costs. That's a problem for survival today. That's 249 00:14:06,520 --> 00:14:09,800 Speaker 1: a problem for pricing today, for profits today, for making 250 00:14:09,840 --> 00:14:13,000 Speaker 1: payroll today, for hiring and firing workers today. And that's 251 00:14:13,040 --> 00:14:15,880 Speaker 1: really what we're talking about in the financial markets, isn't it. 252 00:14:15,880 --> 00:14:20,520 Speaker 1: It's today? So Dr Weinberg, are the particular industries that 253 00:14:20,560 --> 00:14:22,800 Speaker 1: you think are most at risk here? In? It's just 254 00:14:22,880 --> 00:14:27,080 Speaker 1: a rising and trade tension environment. Um is there anything 255 00:14:27,080 --> 00:14:29,840 Speaker 1: particularly that I think investor should be looking out for. Well, 256 00:14:29,840 --> 00:14:31,920 Speaker 1: you know, I can hide behind my role as a 257 00:14:31,920 --> 00:14:34,600 Speaker 1: macro economist and say that I don't look at industries, 258 00:14:34,880 --> 00:14:37,280 Speaker 1: but as a macro economist, what I can say is 259 00:14:37,320 --> 00:14:42,000 Speaker 1: that pretty much every industry, whether it's manufacturing or services, 260 00:14:42,240 --> 00:14:45,840 Speaker 1: today has gone global. Pretty much all industries, pretty much 261 00:14:45,880 --> 00:14:48,440 Speaker 1: all companies have some kind of linkage to the rest 262 00:14:48,440 --> 00:14:51,840 Speaker 1: of the world, and therefore every company is vulnerable to 263 00:14:52,320 --> 00:14:57,480 Speaker 1: um uh these uh this tariff regime and um I 264 00:14:57,520 --> 00:15:00,720 Speaker 1: can't even think of any exceptions of a pure domestic 265 00:15:01,400 --> 00:15:04,960 Speaker 1: company that purely sources things domestically. I mean, even if 266 00:15:04,960 --> 00:15:07,320 Speaker 1: you just use a laptop computer to do your books. 267 00:15:07,360 --> 00:15:10,440 Speaker 1: You know, Joe the plumber is vulnerable to higher tariffs 268 00:15:10,480 --> 00:15:13,200 Speaker 1: on that computer that he does his books on because 269 00:15:13,400 --> 00:15:17,080 Speaker 1: of the tariff things. So we're all subject to this 270 00:15:17,120 --> 00:15:20,320 Speaker 1: in one way or another, all industries, al sectors, all people, 271 00:15:20,600 --> 00:15:23,040 Speaker 1: no place to hide. One thing that I find interesting 272 00:15:23,320 --> 00:15:25,720 Speaker 1: is the question of who's going to suffer more, the 273 00:15:25,840 --> 00:15:29,960 Speaker 1: US or emerging markets, including China. We have PIMCO coming 274 00:15:29,960 --> 00:15:32,680 Speaker 1: out and saying investors are underestimating the value in emerging 275 00:15:32,680 --> 00:15:36,000 Speaker 1: market stocks. Do you think that right now developing markets 276 00:15:36,000 --> 00:15:40,280 Speaker 1: are going to be less hard hit than the United States? Well, 277 00:15:40,280 --> 00:15:43,400 Speaker 1: you know, the developing markets. I mean, let's look at China. Alright. 278 00:15:43,480 --> 00:15:46,360 Speaker 1: China makes a wide variety of stuff, and the United 279 00:15:46,360 --> 00:15:50,000 Speaker 1: States is only about fift of its export market, and 280 00:15:50,080 --> 00:15:51,880 Speaker 1: it's not going to lose all its exports of the 281 00:15:51,920 --> 00:15:54,800 Speaker 1: United States. For sure, Americans will pay more for the 282 00:15:54,840 --> 00:15:58,560 Speaker 1: stuff that they can't get from somewhere else. However, all right, 283 00:15:59,080 --> 00:16:01,080 Speaker 1: a lot of the stuff that they won't sell here 284 00:16:01,080 --> 00:16:03,640 Speaker 1: in the United States. They've got eight five percent of 285 00:16:03,640 --> 00:16:06,240 Speaker 1: the world to sell their stuff too. Now, China is 286 00:16:06,400 --> 00:16:09,760 Speaker 1: an extraordinary case because of the diversity of its products. 287 00:16:09,800 --> 00:16:13,040 Speaker 1: But whether you're selling you know, broad based commodities or 288 00:16:13,240 --> 00:16:16,640 Speaker 1: high end manufactured goods. If you're any country in the world, 289 00:16:17,040 --> 00:16:20,360 Speaker 1: you can sell it probably to somebody else if you 290 00:16:20,400 --> 00:16:22,720 Speaker 1: can't sell it in the United States. And that's really 291 00:16:22,720 --> 00:16:26,280 Speaker 1: one of the flaws in the strategy. Unilateral attacks on 292 00:16:26,400 --> 00:16:29,720 Speaker 1: countries like this when you're not the biggest dominant player 293 00:16:29,760 --> 00:16:32,480 Speaker 1: in the world anymore, that is a strategic error in 294 00:16:32,480 --> 00:16:35,760 Speaker 1: my opinion, Dr Carl Weinberg, thank you so much. Dr 295 00:16:35,840 --> 00:16:38,640 Speaker 1: Weinberger's that found their in chief international economists at High 296 00:16:38,640 --> 00:16:42,480 Speaker 1: Frequency Economics. I think a couple of takeaways there are. 297 00:16:42,640 --> 00:16:46,440 Speaker 1: Number one, trade wars are bad um and number two, 298 00:16:46,880 --> 00:16:51,320 Speaker 1: tariffs ultimately are paid by the consumer, neither of which 299 00:16:51,400 --> 00:17:10,280 Speaker 1: is good for a global economic growth. Let's talk clean 300 00:17:10,440 --> 00:17:13,320 Speaker 1: energy for the home. In the US, buildings account for 301 00:17:13,320 --> 00:17:17,280 Speaker 1: nearly of all carbon emissions, and one company has a 302 00:17:17,280 --> 00:17:20,159 Speaker 1: plan to curb those emissions. Kathy Hannon is the CEO 303 00:17:20,280 --> 00:17:23,320 Speaker 1: and co founder of Dandelion Energy. Dandelion Energy is a 304 00:17:23,359 --> 00:17:26,199 Speaker 1: spin out company of Google x and as the nation's 305 00:17:26,280 --> 00:17:30,399 Speaker 1: leading home geothermal company. Kathy, thanks so much for joining us. 306 00:17:30,400 --> 00:17:33,280 Speaker 1: So just tell us a little bit about dandelions technology 307 00:17:33,359 --> 00:17:36,320 Speaker 1: and how it kind of works. I'd be happy to so. 308 00:17:36,560 --> 00:17:41,960 Speaker 1: Dandelion installs residential geothermal systems. These are systems heating and 309 00:17:41,960 --> 00:17:44,960 Speaker 1: cooling systems that get placed in the home, usually where 310 00:17:45,000 --> 00:17:48,159 Speaker 1: the furnace used to be, and they have what are 311 00:17:48,200 --> 00:17:50,840 Speaker 1: called ground loops. So these are pipes that we install 312 00:17:50,920 --> 00:17:53,959 Speaker 1: in the ground and they let that heat pump gather 313 00:17:54,080 --> 00:17:56,040 Speaker 1: heat from the ground to heat the home in the 314 00:17:56,080 --> 00:17:58,840 Speaker 1: winter and then push heat into the ground to cool 315 00:17:58,880 --> 00:18:02,040 Speaker 1: the home in the summer. So they're very inexpensive to operate, 316 00:18:02,240 --> 00:18:06,240 Speaker 1: very quiet, and a lot of homeowners have started switching 317 00:18:06,359 --> 00:18:09,280 Speaker 1: from there from their furnaces. Can you give us a 318 00:18:09,320 --> 00:18:14,360 Speaker 1: sense of just how big adoption has been so far? Absolutely? So. 319 00:18:14,520 --> 00:18:19,359 Speaker 1: The company actually started selling our product UM a little 320 00:18:19,359 --> 00:18:21,879 Speaker 1: bit less than a year ago, and we already have 321 00:18:22,040 --> 00:18:24,960 Speaker 1: hundreds of customers in New York, which is the market 322 00:18:25,000 --> 00:18:27,679 Speaker 1: we serve today. So if I were to do this 323 00:18:27,720 --> 00:18:30,240 Speaker 1: to my home, what's my out of pocket costs and 324 00:18:30,280 --> 00:18:34,320 Speaker 1: what are my hopeful savings? Absolutely well, UM out of 325 00:18:34,320 --> 00:18:39,720 Speaker 1: pocket costs tend to be around eighteen to twenty thousand dollars, 326 00:18:40,080 --> 00:18:43,120 Speaker 1: which sounds like a lot, but when you consider that 327 00:18:44,080 --> 00:18:48,720 Speaker 1: UM many homeowners are spending three thousand, four thousand dollars 328 00:18:48,760 --> 00:18:52,560 Speaker 1: a year on fuel, oil or propane um. That payback 329 00:18:52,600 --> 00:18:56,240 Speaker 1: period tends to be very very fast, and we offer financing, 330 00:18:56,359 --> 00:18:59,080 Speaker 1: so actually most of our homeowners choose to pay nothing 331 00:18:59,160 --> 00:19:03,640 Speaker 1: up front, so zero cost, and then UM they pay 332 00:19:03,640 --> 00:19:07,200 Speaker 1: off the system over time and the repayment amount each 333 00:19:07,240 --> 00:19:09,640 Speaker 1: month is less than what they would have been spending 334 00:19:09,680 --> 00:19:12,360 Speaker 1: to eat their home otherwise, so they're actually coming out 335 00:19:12,400 --> 00:19:15,720 Speaker 1: ahead every single month that they have the system. One 336 00:19:15,720 --> 00:19:18,679 Speaker 1: thing that I find really interesting about this company is 337 00:19:18,680 --> 00:19:20,960 Speaker 1: that it's to spin out from Google X, which is 338 00:19:20,960 --> 00:19:25,119 Speaker 1: where all moonshot ideas are born at Google and you 339 00:19:25,200 --> 00:19:28,280 Speaker 1: worked there before becoming the CEO and co founder of 340 00:19:28,320 --> 00:19:31,440 Speaker 1: Dandeline Energy. Why did you decide to spin it out? 341 00:19:32,480 --> 00:19:34,800 Speaker 1: So we made the decision with Google X to spin 342 00:19:34,880 --> 00:19:39,359 Speaker 1: it out because this company really UM was ready. It 343 00:19:39,480 --> 00:19:43,919 Speaker 1: was ready to start selling products to homeowners. And what 344 00:19:44,040 --> 00:19:48,359 Speaker 1: Google X specializes in as research and development UM moonshot 345 00:19:48,400 --> 00:19:51,320 Speaker 1: projects that can take a decade to come to fruition, 346 00:19:51,359 --> 00:19:53,840 Speaker 1: but then when they do, they change the world. And 347 00:19:53,960 --> 00:19:57,000 Speaker 1: for this project, we didn't need that decade. We UM 348 00:19:57,040 --> 00:19:59,280 Speaker 1: we were ready to start selling the product, so we 349 00:19:59,359 --> 00:20:03,040 Speaker 1: decided to been it out and started to sell. So 350 00:20:03,200 --> 00:20:07,480 Speaker 1: talking about this, the German Geothermal market is it? I mean, 351 00:20:07,480 --> 00:20:10,000 Speaker 1: how big is it? How fast is it growing? Um, 352 00:20:10,119 --> 00:20:13,200 Speaker 1: just give us a sense of what the market looks like. Well, today, 353 00:20:13,480 --> 00:20:16,560 Speaker 1: it is actually quite a small market in the sense 354 00:20:16,600 --> 00:20:21,440 Speaker 1: that very few homeowners get to enjoy geothermal heating and cooling. 355 00:20:21,960 --> 00:20:25,160 Speaker 1: And I would say many homeowners haven't really heard about 356 00:20:25,160 --> 00:20:29,680 Speaker 1: it even, which is a shame because there's just so 357 00:20:29,760 --> 00:20:32,439 Speaker 1: much money that homeowners could save if they were to 358 00:20:32,480 --> 00:20:35,320 Speaker 1: adopt the technology. What's been preventing it from being larger 359 00:20:35,320 --> 00:20:37,639 Speaker 1: in the past has been it's been too expensive. So 360 00:20:37,680 --> 00:20:41,840 Speaker 1: a typical system in the past has cost fifty or more, 361 00:20:42,280 --> 00:20:45,880 Speaker 1: which is just out of range for almost everyone. Um. 362 00:20:45,920 --> 00:20:49,200 Speaker 1: But the heating and cooling market couldn't be bigger. So 363 00:20:49,359 --> 00:20:52,800 Speaker 1: all of us spend so much money, especially in climates 364 00:20:52,800 --> 00:20:56,360 Speaker 1: that get cold in the winter, on heating, and that 365 00:20:56,400 --> 00:20:59,359 Speaker 1: market is hundreds of billions of dollars. What was it 366 00:20:59,400 --> 00:21:03,320 Speaker 1: like working at Google x Oh it was fantastic. So 367 00:21:03,480 --> 00:21:06,199 Speaker 1: my job, which I was so lucky to have, I 368 00:21:06,280 --> 00:21:09,280 Speaker 1: was a rapid evaluator is what we called it. So 369 00:21:09,320 --> 00:21:13,720 Speaker 1: what that meant is I got to explore new opportunities 370 00:21:13,760 --> 00:21:16,240 Speaker 1: for Google to invest in technologies that could have a 371 00:21:16,320 --> 00:21:20,359 Speaker 1: huge impact and become huge businesses someday. And I think 372 00:21:20,400 --> 00:21:23,359 Speaker 1: one of the great things about X is just the 373 00:21:23,440 --> 00:21:26,720 Speaker 1: intellectual freedom that we were given to do that sort 374 00:21:26,760 --> 00:21:29,399 Speaker 1: of thing, and then also, of course the quality of 375 00:21:29,440 --> 00:21:32,239 Speaker 1: the people that we got to work with. Who So 376 00:21:32,359 --> 00:21:34,359 Speaker 1: when you think about the Google lex is you know, 377 00:21:34,640 --> 00:21:36,439 Speaker 1: I guess investors, when I think about Google X, it 378 00:21:36,520 --> 00:21:39,280 Speaker 1: really is these moon shots. How many projects are roughly 379 00:21:39,440 --> 00:21:42,040 Speaker 1: being worked on, I guess, or how many you know 380 00:21:42,080 --> 00:21:44,240 Speaker 1: at any given time, and then I guess you just 381 00:21:44,280 --> 00:21:46,880 Speaker 1: decide when it's time to spin out, right, Yeah, So 382 00:21:47,119 --> 00:21:49,720 Speaker 1: the way it works is at the very early stages, 383 00:21:49,920 --> 00:21:53,080 Speaker 1: things are just an idea. So it's really you know, 384 00:21:53,160 --> 00:21:56,320 Speaker 1: there are there are hundreds of ideas getting batted around 385 00:21:56,800 --> 00:21:59,240 Speaker 1: at any given time, but most of them, as you 386 00:21:59,240 --> 00:22:03,400 Speaker 1: can imagine, make it very far because part of the 387 00:22:03,440 --> 00:22:07,160 Speaker 1: process it access to identify as quickly as possible. Why 388 00:22:07,200 --> 00:22:10,080 Speaker 1: I give an idea is doomed not to work. So 389 00:22:10,119 --> 00:22:14,439 Speaker 1: we're trained to be optimists, but optimists who are always 390 00:22:14,480 --> 00:22:17,440 Speaker 1: looking for the fatal flaw. Because opportunity costs is such 391 00:22:17,480 --> 00:22:20,200 Speaker 1: a real thing, especially at a place like Google with 392 00:22:20,320 --> 00:22:23,360 Speaker 1: so many resources, So the areas that are most ripe 393 00:22:23,359 --> 00:22:27,000 Speaker 1: for disruption energy. You pinpointed, is are there any others 394 00:22:27,000 --> 00:22:30,520 Speaker 1: that are sort of high areas of interest? Well, I 395 00:22:30,520 --> 00:22:33,600 Speaker 1: haven't been there for two years, so I can't speak 396 00:22:34,240 --> 00:22:37,720 Speaker 1: about the areas of interest there today, but I know 397 00:22:37,840 --> 00:22:42,159 Speaker 1: that UM we were always very attentive to trends and technology, 398 00:22:42,240 --> 00:22:49,840 Speaker 1: so you can imagine that UM areas like artificial intelligence, robotics, UM, 399 00:22:49,920 --> 00:22:55,200 Speaker 1: you know, maybe maybe agriculture, maybe bio. I think all 400 00:22:55,200 --> 00:22:58,600 Speaker 1: of those areas we're just seeing such rapid development that 401 00:22:58,760 --> 00:23:01,320 Speaker 1: I wouldn't be surprised if they were fertile ones for acts. 402 00:23:01,840 --> 00:23:04,040 Speaker 1: Kathy Hannon, thank you so much for being with us. 403 00:23:04,640 --> 00:23:08,280 Speaker 1: Kathy Hannon, chief executive officer and co founder of Dandelion Energy, 404 00:23:08,760 --> 00:23:12,919 Speaker 1: looking at the trapped heat in the ground as a 405 00:23:13,000 --> 00:23:16,240 Speaker 1: potential source of energy and depositor of energy in the 406 00:23:16,240 --> 00:23:20,520 Speaker 1: summertime as a way to have a more green way 407 00:23:20,760 --> 00:23:39,879 Speaker 1: of heating your home. Alphabet shares falling today at nearly 408 00:23:40,080 --> 00:23:44,400 Speaker 1: six percent, currently down five point one percent, five point 409 00:23:44,440 --> 00:23:47,879 Speaker 1: seven percent. Excuse me. This comes as the Department of 410 00:23:47,920 --> 00:23:51,480 Speaker 1: Justice in the United States is considering an antitrust probe 411 00:23:51,600 --> 00:23:55,680 Speaker 1: into the company. Very interesting development. Sharre OVERDA Bloomberg Opinion 412 00:23:55,720 --> 00:23:58,399 Speaker 1: columnist joining us here, What do you make of this? 413 00:23:58,560 --> 00:24:01,880 Speaker 1: Why now? I think that's a very good question, and 414 00:24:01,920 --> 00:24:04,720 Speaker 1: it remains to be seen. Look, there's obviously a different 415 00:24:04,760 --> 00:24:10,200 Speaker 1: administration in Washington, and the tech companies, including Google, are 416 00:24:10,280 --> 00:24:15,160 Speaker 1: also getting big, bigger every day, and more powerful every day, 417 00:24:15,240 --> 00:24:21,280 Speaker 1: and officials in government, including the head of the Department 418 00:24:21,280 --> 00:24:25,240 Speaker 1: of Justice, have signaled an interest in the size and 419 00:24:25,320 --> 00:24:28,159 Speaker 1: power of big tech companies, although I think people like 420 00:24:28,200 --> 00:24:30,879 Speaker 1: Attorney General Bill Barr have been quick to note that 421 00:24:30,880 --> 00:24:34,720 Speaker 1: looks size itself is not an antitrust violation, but how 422 00:24:34,800 --> 00:24:37,960 Speaker 1: you use your power can be. That's interesting because I 423 00:24:37,960 --> 00:24:40,080 Speaker 1: think it's obviously a big issue for Google today. But 424 00:24:40,119 --> 00:24:43,240 Speaker 1: as you suggest this, I think investors probably are also 425 00:24:43,280 --> 00:24:46,000 Speaker 1: concerned that they're just looking at tech more broadly, given 426 00:24:46,000 --> 00:24:48,400 Speaker 1: how some mean, is that really a risk out there? 427 00:24:48,880 --> 00:24:50,800 Speaker 1: From what you know? I mean to me, Look, this 428 00:24:50,880 --> 00:24:53,280 Speaker 1: is one of the biggest risks of any of these 429 00:24:53,359 --> 00:24:57,880 Speaker 1: large US tech companies, is the possibility of continued, persistent, 430 00:24:58,160 --> 00:25:01,760 Speaker 1: permanent political and rap aleatory pressure. You were seeing today 431 00:25:01,840 --> 00:25:04,439 Speaker 1: right that both Amazon and Facebook have a little bit 432 00:25:04,480 --> 00:25:07,480 Speaker 1: of a stock declined today. There was news out of 433 00:25:07,480 --> 00:25:10,560 Speaker 1: Washington over the weekend that you know, the Department of 434 00:25:10,600 --> 00:25:12,880 Speaker 1: Justice in the FCC have sort of d vied up 435 00:25:12,960 --> 00:25:16,280 Speaker 1: responsibility or the d o J is sort of taking 436 00:25:16,320 --> 00:25:20,440 Speaker 1: responsibility for Google and the Federal Trade Commission, Sorr said, FCC, 437 00:25:20,600 --> 00:25:24,159 Speaker 1: the Federal Trade Commission has taken responsibility of Amazon. So 438 00:25:24,200 --> 00:25:27,000 Speaker 1: that suggests that there may also be kind of regulatory 439 00:25:27,040 --> 00:25:30,720 Speaker 1: interest looking at Amazon. And I think that the share 440 00:25:30,760 --> 00:25:34,800 Speaker 1: price of Amazon today reflects that possibility. Which segments of 441 00:25:34,840 --> 00:25:39,040 Speaker 1: Alphabet's business are most likely to come under particular scrutiny. 442 00:25:39,080 --> 00:25:43,440 Speaker 1: You are shaking your head. It could be anything, right, Look, 443 00:25:43,760 --> 00:25:46,919 Speaker 1: so there is some precedent here, right, The Google or 444 00:25:47,359 --> 00:25:50,760 Speaker 1: Google's parent company, Alphabet has been fined multiple times by 445 00:25:50,800 --> 00:25:53,960 Speaker 1: European anti trust regulators, and that was over a number 446 00:25:54,000 --> 00:25:57,480 Speaker 1: of issues, including UM the way that Google sort of 447 00:25:57,880 --> 00:26:02,520 Speaker 1: tied its Android smart phone operating system to other aspects 448 00:26:02,520 --> 00:26:07,280 Speaker 1: of its business, including UM, it's it's apps, and it's 449 00:26:07,480 --> 00:26:11,479 Speaker 1: Chrome browser for smartphones. There was a fine related to 450 00:26:11,520 --> 00:26:18,119 Speaker 1: how Google UM handles Internet shopping and other kind of 451 00:26:18,160 --> 00:26:24,159 Speaker 1: comparison internet shopping engines. The Federal Trade Commission investigated Google 452 00:26:24,200 --> 00:26:28,440 Speaker 1: for possible antitrust investigation violations more than six years ago, 453 00:26:28,640 --> 00:26:31,760 Speaker 1: and it looked at a number of issues, including Google 454 00:26:31,840 --> 00:26:37,520 Speaker 1: kind of scraping information without permission from other Internet providers 455 00:26:37,560 --> 00:26:41,240 Speaker 1: including Yelp and trip Advisor to sort of improve Google 456 00:26:41,440 --> 00:26:44,680 Speaker 1: search results. So look, the d o J could look 457 00:26:44,720 --> 00:26:47,879 Speaker 1: at any of those things, or really anything, I guess, 458 00:26:48,240 --> 00:26:51,120 Speaker 1: you know, taking a look at it from Google's perspective, 459 00:26:51,119 --> 00:26:53,200 Speaker 1: they can probably just come back to regulators around the 460 00:26:53,240 --> 00:26:55,440 Speaker 1: world and say, hey, we built the best mouse trap 461 00:26:55,560 --> 00:26:58,440 Speaker 1: out there. That's why we have seven year per share 462 00:26:58,440 --> 00:27:01,440 Speaker 1: of church queries. But that doesn't seem to be winning 463 00:27:01,480 --> 00:27:03,280 Speaker 1: the day here. I think that is there a sense 464 00:27:03,320 --> 00:27:06,680 Speaker 1: that maybe that argument has to change that yet it's 465 00:27:06,680 --> 00:27:09,639 Speaker 1: not just that their substitutes, but you guys maybe just 466 00:27:10,440 --> 00:27:15,280 Speaker 1: mishandle your market dominance. So I think that's a great question. 467 00:27:15,280 --> 00:27:18,160 Speaker 1: And look at the Google is very practiced now at 468 00:27:18,200 --> 00:27:22,560 Speaker 1: dealing with these kind of anti monopoly concerns and regulations. 469 00:27:22,800 --> 00:27:25,800 Speaker 1: And Google's line has always been, as you said, we 470 00:27:25,920 --> 00:27:29,320 Speaker 1: built a better mouse trap. Competition is just one click away, 471 00:27:29,400 --> 00:27:32,480 Speaker 1: as their kind of favorite phrase. And it is hard, 472 00:27:32,600 --> 00:27:37,240 Speaker 1: right because you can't necessarily point to direct consumer harm 473 00:27:37,320 --> 00:27:41,000 Speaker 1: because Google provides Internet services that are free and a 474 00:27:41,040 --> 00:27:43,440 Speaker 1: lot of billions of people use them around the world, 475 00:27:43,520 --> 00:27:46,560 Speaker 1: and they're valuable, But what regulators look at as well, 476 00:27:46,680 --> 00:27:48,920 Speaker 1: or what they might look at as well is Okay, 477 00:27:49,000 --> 00:27:52,040 Speaker 1: let's play the long game here. If Google manages to 478 00:27:52,119 --> 00:27:55,399 Speaker 1: kind of put out of business or guest stranglehold on 479 00:27:55,640 --> 00:27:59,240 Speaker 1: lots of aspects of internet advertising or lots of of 480 00:27:59,320 --> 00:28:04,320 Speaker 1: aspects of information online, does that harm consumers? Or is 481 00:28:04,359 --> 00:28:09,199 Speaker 1: Google doing things um that basically abuse its power in 482 00:28:09,280 --> 00:28:12,959 Speaker 1: such a way that it crushes competitors. And the problem 483 00:28:12,960 --> 00:28:15,199 Speaker 1: with anti trust and investigations is that they're broad and 484 00:28:15,280 --> 00:28:18,920 Speaker 1: you just don't know what the investigators will find interesting. 485 00:28:19,000 --> 00:28:21,680 Speaker 1: Sure of a day Bloomberg Opinion colums covering all things 486 00:28:21,760 --> 00:28:23,480 Speaker 1: tech for us coming in at the last minute to 487 00:28:23,520 --> 00:28:25,840 Speaker 1: give us some color on Google. Thanks for listening to 488 00:28:25,840 --> 00:28:28,200 Speaker 1: the Bloomberg P and L podcast. You can subscribe and 489 00:28:28,280 --> 00:28:31,440 Speaker 1: listen to interviews at Apple Podcasts or whatever podcast platform 490 00:28:31,480 --> 00:28:34,560 Speaker 1: you prefer. Paul Sweeney, I'm on Twitter at pt Sweeney. 491 00:28:34,600 --> 00:28:37,480 Speaker 1: I'm Lisa abram Woyds. I'm on Twitter at Lisa Abramoyit's 492 00:28:37,560 --> 00:28:40,400 Speaker 1: one before the podcast. You can always catch us worldwide. 493 00:28:40,400 --> 00:28:41,400 Speaker 1: I'm Bloomberg Radio