1 00:00:03,120 --> 00:00:07,720 Speaker 1: This is Bloomberg surveillance. China is reflating through credit growth, 2 00:00:07,880 --> 00:00:10,520 Speaker 1: and the set has become a bit more dubbish and 3 00:00:10,760 --> 00:00:13,080 Speaker 1: has served to weaken the dollar a bit. Clearly, it 4 00:00:13,160 --> 00:00:16,120 Speaker 1: wasn't the fet intervention that was bringing down interest rates. 5 00:00:16,120 --> 00:00:18,440 Speaker 1: It was the good quote unquotal favors. I don't think 6 00:00:18,480 --> 00:00:20,960 Speaker 1: the fetchages raise rates for the sake of raising them. 7 00:00:21,000 --> 00:00:22,840 Speaker 1: They certainly want to make sure that the steps that 8 00:00:22,880 --> 00:00:26,799 Speaker 1: they take are well justified. Bloomberg Surveillance your link to 9 00:00:26,840 --> 00:00:31,200 Speaker 1: the world of economics, finance and investment on Bloomberg Radio. 10 00:00:32,240 --> 00:00:35,040 Speaker 1: Good Morning. I might com McKee along with Tom Keene. 11 00:00:35,080 --> 00:00:38,440 Speaker 1: It is seven am on Wall Street, one pm in Brussels, 12 00:00:38,440 --> 00:00:41,320 Speaker 1: where the European Commission is whacking Google upside the head 13 00:00:41,479 --> 00:00:43,960 Speaker 1: trust US. We'll talk about that in a few moments. 14 00:00:44,240 --> 00:00:47,120 Speaker 1: We'll talk politics to today, not to depress you too much, 15 00:00:47,920 --> 00:00:50,519 Speaker 1: as important as those stories may be. Neither really in 16 00:00:50,560 --> 00:00:53,240 Speaker 1: the markets this morning. Instead, it is China. It is 17 00:00:53,280 --> 00:00:56,640 Speaker 1: oil back to the future there. China's markets falling the 18 00:00:56,640 --> 00:01:00,520 Speaker 1: most since February, Shanghai down two point three, all down, 19 00:01:00,640 --> 00:01:05,240 Speaker 1: the striking Kuwait apparently over West Texas forty cents of 20 00:01:05,319 --> 00:01:09,040 Speaker 1: barrel down one point nine percent, were rounded to two percent, 21 00:01:09,160 --> 00:01:13,920 Speaker 1: red crude one and a half percent lower. Put the 22 00:01:13,920 --> 00:01:16,200 Speaker 1: two together, you get a lower open. In Europe, this 23 00:01:16,319 --> 00:01:19,600 Speaker 1: stock six d right now is down by about a 24 00:01:19,720 --> 00:01:23,520 Speaker 1: point a tenth of eight percent. The Dacks is higher 25 00:01:24,200 --> 00:01:27,039 Speaker 1: fifteen points right now a tenth of a percent. But 26 00:01:27,800 --> 00:01:32,000 Speaker 1: we're watching the foot see trade lower seventeen points, three 27 00:01:32,000 --> 00:01:36,640 Speaker 1: tenths of eight percent. Futures mixed here in the United States, 28 00:01:37,200 --> 00:01:41,280 Speaker 1: turning positive, the SMP turning positive just a moment ago, 29 00:01:41,800 --> 00:01:46,039 Speaker 1: up by a point, The Dow is flat, Nasdaq futures 30 00:01:46,120 --> 00:01:49,360 Speaker 1: up by five points right now a tenth of eight percent. 31 00:01:49,680 --> 00:01:53,600 Speaker 1: In the bottom market, bonds higher this morning one point 32 00:01:53,680 --> 00:01:56,440 Speaker 1: seven eight for your tenure yield one point to five year, 33 00:01:56,480 --> 00:01:59,400 Speaker 1: five year, the two year going for seventy six basis 34 00:01:59,440 --> 00:02:04,560 Speaker 1: points that our index just a touch stronger at four 35 00:02:04,920 --> 00:02:08,239 Speaker 1: point oh seven four. Headline from United Airlines this story 36 00:02:08,320 --> 00:02:12,960 Speaker 1: reported earlier naming Robert Milton, the former Air candidate CEO, 37 00:02:13,120 --> 00:02:18,320 Speaker 1: as chairman of the company Google. The European Union expanding 38 00:02:18,320 --> 00:02:21,440 Speaker 1: its battle with Google, alleging the technology company rigging the 39 00:02:21,480 --> 00:02:24,760 Speaker 1: global market for mobile apps by making sure it's Android 40 00:02:24,800 --> 00:02:29,640 Speaker 1: operating system gives preferential treatment to its own products. New 41 00:02:29,720 --> 00:02:32,919 Speaker 1: York University Strdente School of Business Professor Scott Galloway is wheus. Google, 42 00:02:33,000 --> 00:02:36,280 Speaker 1: of course, says Andrew's Android is a free and open 43 00:02:36,280 --> 00:02:41,760 Speaker 1: source operating system. Um so is this a fairly obvious case? 44 00:02:41,800 --> 00:02:43,600 Speaker 1: It either is or it isn't, or is this going 45 00:02:43,639 --> 00:02:46,600 Speaker 1: to turn on technicalities that maybe only Tom's eight year 46 00:02:46,600 --> 00:02:49,880 Speaker 1: old is going to be able to understand or Google's 47 00:02:49,880 --> 00:02:51,680 Speaker 1: attorney is. I mean, this is a definition of what 48 00:02:51,720 --> 00:02:54,400 Speaker 1: an ecosystem is supposed to do. Is the ideas you 49 00:02:54,560 --> 00:02:57,880 Speaker 1: drive traffic to your other properties and you create an ecosystem. 50 00:02:57,960 --> 00:03:00,560 Speaker 1: So it's sort of like tell us something we don't know. 51 00:03:01,400 --> 00:03:03,600 Speaker 1: I don't think anyone would be shocked that Android would 52 00:03:03,600 --> 00:03:05,880 Speaker 1: be favoring other Google products. I think that's their job. 53 00:03:06,680 --> 00:03:10,440 Speaker 1: Why then are the Europeans doing this? You know? I look, 54 00:03:10,480 --> 00:03:12,440 Speaker 1: I think everyone every once in a while we get 55 00:03:12,480 --> 00:03:15,720 Speaker 1: angry at some of the external or the unintended consequences 56 00:03:15,720 --> 00:03:18,600 Speaker 1: of these unbelievably successful companies that on a business level 57 00:03:18,639 --> 00:03:21,240 Speaker 1: deserve every point of market share that they've earned, and 58 00:03:21,280 --> 00:03:23,400 Speaker 1: then we wake up and goes, this is this? You know, 59 00:03:23,440 --> 00:03:25,440 Speaker 1: it's good for Google? Shareholders. It's good if you in 60 00:03:25,480 --> 00:03:27,960 Speaker 1: real estate and Portola Valley or the Ferrari dealership in 61 00:03:27,960 --> 00:03:30,600 Speaker 1: San Francisco. But occasionally we say is this good for society, 62 00:03:31,080 --> 00:03:33,720 Speaker 1: and a lot of people decide no, it's not. We're destroying, 63 00:03:33,919 --> 00:03:36,400 Speaker 1: staring a lot of jobs. They get angry, they got 64 00:03:36,400 --> 00:03:38,400 Speaker 1: all hopped up. They go after one of these companies, 65 00:03:38,440 --> 00:03:41,160 Speaker 1: and typically it doesn't work because these companies have earned 66 00:03:41,160 --> 00:03:43,240 Speaker 1: their share. So it's hard, you know, it's hard to 67 00:03:43,240 --> 00:03:46,280 Speaker 1: say they've run a foul of antitrust. They've earned it, 68 00:03:46,440 --> 00:03:49,120 Speaker 1: earned this this share. But I think we're headed here 69 00:03:49,240 --> 00:03:51,520 Speaker 1: some sort of showdown because it's just having such negative 70 00:03:51,560 --> 00:03:55,080 Speaker 1: impact on the economy, or not even on the economy. 71 00:03:55,640 --> 00:03:57,839 Speaker 1: Daniel Rushcoff had a great book that basically said we've 72 00:03:57,840 --> 00:04:02,720 Speaker 1: opted for growth over prosperity. Scott Galloway with Us with NYU, 73 00:04:02,920 --> 00:04:04,840 Speaker 1: had a great time at n y U last night 74 00:04:04,880 --> 00:04:08,840 Speaker 1: speaking thank you to Carl Weinberg for ligning intelligence students 75 00:04:09,000 --> 00:04:12,040 Speaker 1: up UM with some brilliant questions, some of them I 76 00:04:12,080 --> 00:04:15,800 Speaker 1: thought were really sophisticated. Bloomberg Surveillance. This morning brought you 77 00:04:15,840 --> 00:04:20,400 Speaker 1: by Investco. Markets may be volatile, but investcos value managers 78 00:04:20,880 --> 00:04:23,679 Speaker 1: are finding a high conviction opportunities to find out where 79 00:04:24,400 --> 00:04:29,159 Speaker 1: at investco, dot com, slash interactive. Scott Galloway on innovation 80 00:04:29,520 --> 00:04:33,080 Speaker 1: up to me, the LIV the litigation or potential regulation 81 00:04:33,160 --> 00:04:37,560 Speaker 1: whatever of EU is about starving for innovation. Review for 82 00:04:37,680 --> 00:04:43,599 Speaker 1: us again, how innovation gets transported to regions desire it 83 00:04:43,760 --> 00:04:47,760 Speaker 1: but don't have the structures the culture to embrace it 84 00:04:47,880 --> 00:04:50,880 Speaker 1: like a given Silicon Valley or Austin or maybe the 85 00:04:50,960 --> 00:04:53,960 Speaker 1: nascent Los Angeles as well. Yeah, for all the candidates 86 00:04:53,960 --> 00:04:56,880 Speaker 1: talking about how poorly America is doing. The NAVDA company 87 00:04:56,920 --> 00:04:59,400 Speaker 1: that's added more than ten billion dollars in market cap 88 00:05:00,080 --> 00:05:05,400 Speaker 1: outside of a bike ride of Berkeley, Stanford or or 89 00:05:05,880 --> 00:05:07,800 Speaker 1: you know, or n y U or Columbia. I mean 90 00:05:08,320 --> 00:05:11,440 Speaker 1: from what was it from nine nine, within a seven 91 00:05:11,440 --> 00:05:15,040 Speaker 1: mile radius of SFO, there was more market capitalization created 92 00:05:15,080 --> 00:05:18,040 Speaker 1: than all of Europe since World War Two. Name an 93 00:05:18,080 --> 00:05:21,880 Speaker 1: incredibly innovative disrupt or coming out of Europe right now. 94 00:05:22,000 --> 00:05:25,360 Speaker 1: It's just that there's something about the culture here, the 95 00:05:25,800 --> 00:05:30,800 Speaker 1: willingness to fail our education system. But yeah, I imagine 96 00:05:30,960 --> 00:05:33,359 Speaker 1: Europe has been asking themselves the same question for the 97 00:05:33,400 --> 00:05:35,880 Speaker 1: last thirty years as they see all these newly minted 98 00:05:36,000 --> 00:05:38,120 Speaker 1: billionaires on the paper everywhere, and none of them have 99 00:05:38,160 --> 00:05:40,800 Speaker 1: a British or a French accent. It's been said that 100 00:05:40,839 --> 00:05:44,240 Speaker 1: the US innovates China copies in the e U sues 101 00:05:44,760 --> 00:05:49,520 Speaker 1: well China, Yeah, China, China. They call it process innovation. 102 00:05:49,920 --> 00:05:53,360 Speaker 1: We call it IP theft any But the bottom line 103 00:05:53,360 --> 00:05:55,600 Speaker 1: is any economy that accelerates the kind of seven or 104 00:05:55,640 --> 00:05:59,120 Speaker 1: ten percent GDP growth is typically stealing i P from 105 00:05:59,120 --> 00:06:02,320 Speaker 1: somewhere else, whether it's US stealing textile manufacturing from Britain, 106 00:06:03,040 --> 00:06:04,920 Speaker 1: Um and Tom. You had that great guy on from 107 00:06:04,920 --> 00:06:07,160 Speaker 1: Warbert Pinkas his name is escaping me. But he's sort 108 00:06:07,160 --> 00:06:11,240 Speaker 1: of an economics store and he's wonderful. But effectively China 109 00:06:11,600 --> 00:06:14,000 Speaker 1: is you know, they look at what's happening to P 110 00:06:14,160 --> 00:06:16,719 Speaker 1: and G some amazing firms and luxury brands in China. 111 00:06:17,000 --> 00:06:19,080 Speaker 1: They watch, they wait, and then they come in and 112 00:06:19,080 --> 00:06:21,320 Speaker 1: they take back all the share. China's gone from being 113 00:06:21,320 --> 00:06:23,479 Speaker 1: a dream for a lot of consumer companies to a 114 00:06:23,560 --> 00:06:27,159 Speaker 1: real problem all of them. Is that mean that we're 115 00:06:27,200 --> 00:06:35,440 Speaker 1: going to see more UH support for someone like Donald Trump, 116 00:06:35,600 --> 00:06:39,640 Speaker 1: who would essentially cut off our relationship with China on 117 00:06:39,640 --> 00:06:42,159 Speaker 1: a trade basis. Yeah, I think the roots are trying. 118 00:06:42,240 --> 00:06:44,360 Speaker 1: It's just such a phenomenon. You always actually how did 119 00:06:44,360 --> 00:06:45,840 Speaker 1: this happen? I think it goes back all the way 120 00:06:45,839 --> 00:06:48,600 Speaker 1: back to World War Two, where we effectively flatten these 121 00:06:48,720 --> 00:06:52,360 Speaker 1: very productive economies called Germany and Japanese, incredibly productive cultures. 122 00:06:53,000 --> 00:06:55,920 Speaker 1: Our our capital infrastructure was untouched. We had a thirty 123 00:06:56,000 --> 00:06:58,960 Speaker 1: or four year advantage. We took this cohort called white 124 00:06:59,040 --> 00:07:01,560 Speaker 1: dudes and paid them a lot of money without ever 125 00:07:01,600 --> 00:07:04,480 Speaker 1: telling them why. And now the global economy has decided 126 00:07:04,520 --> 00:07:07,560 Speaker 1: that they want to catch up. Everyone talks about income inequality. 127 00:07:07,600 --> 00:07:11,040 Speaker 1: If you look at global equality, it's been a century 128 00:07:11,040 --> 00:07:14,400 Speaker 1: of equalization. The Chinese in India want their piece of 129 00:07:14,400 --> 00:07:16,440 Speaker 1: the pie. If you're a Trump oter, it means the 130 00:07:16,440 --> 00:07:19,119 Speaker 1: global economy has left you behind. This is the middle 131 00:07:19,160 --> 00:07:21,880 Speaker 1: class white guy who can't keep up with the global economy. 132 00:07:22,840 --> 00:07:25,920 Speaker 1: A fascinating discussion. That guy, by the way, is William 133 00:07:26,000 --> 00:07:30,280 Speaker 1: Jane Way, legendary at Warburg. Pink is uh closely associated 134 00:07:30,320 --> 00:07:32,920 Speaker 1: with Cambridge and he has been a huge value. It's 135 00:07:32,920 --> 00:07:35,440 Speaker 1: a great time when we have Mr Jane, William Mr 136 00:07:35,480 --> 00:07:38,920 Speaker 1: Galloway on at the same time, Professor Galloway, when I 137 00:07:38,960 --> 00:07:43,280 Speaker 1: look at that American that is not innovating. They're not 138 00:07:43,400 --> 00:07:46,400 Speaker 1: writing code, or they're not around the industry of the 139 00:07:46,440 --> 00:07:49,760 Speaker 1: code writers. Is there a policy to make them more 140 00:07:49,840 --> 00:07:53,760 Speaker 1: tech savvy. I don't observe it. You know, everyone immediately 141 00:07:53,840 --> 00:07:57,600 Speaker 1: defaults the education. I just wonder Tom, if we're destroying 142 00:07:57,880 --> 00:08:01,120 Speaker 1: jobs now at a pace that we just can recreate, 143 00:08:01,120 --> 00:08:04,280 Speaker 1: because the argument is, okay, a grarrant society. People are 144 00:08:04,280 --> 00:08:06,120 Speaker 1: farmers turn in the century four at the end. But 145 00:08:06,160 --> 00:08:08,760 Speaker 1: other industries picked up the slack. But it seems like 146 00:08:08,760 --> 00:08:11,240 Speaker 1: we're destroying jobs so fast now it's hard to keep 147 00:08:11,320 --> 00:08:14,320 Speaker 1: up with recreate, you know, recreate and recreating them. And 148 00:08:14,320 --> 00:08:16,240 Speaker 1: you're the guests on the last hour said, okay, but 149 00:08:16,320 --> 00:08:19,560 Speaker 1: it's great for it's great for employment. That's true, but 150 00:08:19,560 --> 00:08:22,280 Speaker 1: but wages are just flat because people are being are 151 00:08:22,440 --> 00:08:25,640 Speaker 1: down to being uber drivers or air and runners for 152 00:08:25,800 --> 00:08:27,640 Speaker 1: task grabit. I think where we had it as a 153 00:08:27,680 --> 00:08:29,760 Speaker 1: negative income tax, I think it's gonna be easier just 154 00:08:29,840 --> 00:08:31,960 Speaker 1: to pay people who don't have the skills and to 155 00:08:31,960 --> 00:08:34,200 Speaker 1: provide social service. Like I saw chart on on Twitter 156 00:08:34,240 --> 00:08:38,800 Speaker 1: today from a legitimate source. It's absolutely stunning that male 157 00:08:39,040 --> 00:08:44,920 Speaker 1: full time employed headcount is just now getting above where 158 00:08:44,920 --> 00:08:47,880 Speaker 1: it was in oh seven. All the rest of it's 159 00:08:47,880 --> 00:08:51,240 Speaker 1: been self employed in some real legitimate pickups, and women 160 00:08:51,240 --> 00:08:54,680 Speaker 1: employed as well. It's sort of a Pogo academy. And 161 00:08:54,679 --> 00:08:56,800 Speaker 1: that we've met the enemy and it is us. We 162 00:08:56,880 --> 00:09:00,680 Speaker 1: talk about the problems of globalization, but you don't stop 163 00:09:00,720 --> 00:09:05,599 Speaker 1: shopping at stores that advertise ultra low prices because of globalization. 164 00:09:06,160 --> 00:09:09,640 Speaker 1: Uh you know, where do we how? How do you 165 00:09:10,000 --> 00:09:13,520 Speaker 1: how do you you know? Massage and into this? Uh? 166 00:09:13,559 --> 00:09:16,160 Speaker 1: You know, is there a way you know this is? 167 00:09:16,720 --> 00:09:19,880 Speaker 1: This is the correct question? That that and your right. 168 00:09:20,000 --> 00:09:22,120 Speaker 1: So people talk a big game about made in America, 169 00:09:22,280 --> 00:09:25,160 Speaker 1: but they want a little black dress. H and M. 170 00:09:25,200 --> 00:09:27,960 Speaker 1: It's just consumers vote with their pocketbooks and they decided 171 00:09:27,960 --> 00:09:30,679 Speaker 1: to have the gifts under the Christmas tree or from China. 172 00:09:30,880 --> 00:09:34,520 Speaker 1: It's just we we love low prices and then we 173 00:09:34,559 --> 00:09:37,760 Speaker 1: complain about, you know, a destruction American jobs and free 174 00:09:37,760 --> 00:09:40,920 Speaker 1: trade is arguably the way to go. It's just certain 175 00:09:40,960 --> 00:09:44,040 Speaker 1: people are being left behind. And I don't know if 176 00:09:44,240 --> 00:09:46,120 Speaker 1: education is going to catch him off. Scott, don't talk 177 00:09:46,120 --> 00:09:48,000 Speaker 1: about Yahoo in the next block. Let me squeeze this 178 00:09:48,040 --> 00:09:52,040 Speaker 1: in quickly thirty seconds. I'm taken aback by the abandoned 179 00:09:52,040 --> 00:09:55,840 Speaker 1: bricks and mortars on many side streets of this great city. 180 00:09:56,160 --> 00:09:59,559 Speaker 1: Where's Amazon in five years? Oh? I am Amazon must 181 00:09:59,600 --> 00:10:03,280 Speaker 1: distrust to force the largest economy. UM, I believe that 182 00:10:03,320 --> 00:10:06,040 Speaker 1: Amazon is going to make a transformative acquisition of bricks 183 00:10:06,040 --> 00:10:08,880 Speaker 1: and mortar. Consumers don't live in isolation of anyone medium. 184 00:10:08,920 --> 00:10:13,960 Speaker 1: The most influential factor in a purchase is still the store. 185 00:10:14,000 --> 00:10:17,160 Speaker 1: There's three new factors in the top ten, social media search, 186 00:10:17,920 --> 00:10:20,560 Speaker 1: UM and online discovery, but the number one is still 187 00:10:20,600 --> 00:10:23,520 Speaker 1: the store. The stores, Tom, there's a myth that stores 188 00:10:23,559 --> 00:10:25,120 Speaker 1: are dying. It's not stores that are dying. It's the 189 00:10:25,160 --> 00:10:28,880 Speaker 1: middle class stores and wealthy neighborhoods are thriving. Stores, businesses 190 00:10:28,880 --> 00:10:31,000 Speaker 1: and everyone else in middle class and lower class. Scott 191 00:10:31,000 --> 00:10:33,280 Speaker 1: Galloway with us, one of our most popular, truly one 192 00:10:33,280 --> 00:10:35,199 Speaker 1: of our most popular guests, and of course with his 193 00:10:35,960 --> 00:10:41,680 Speaker 1: inflammatory important impression to comments on beyond the story, we 194 00:10:41,800 --> 00:10:47,640 Speaker 1: will Yeah, that's the Galloway. You don't know coming up Galloway. 195 00:10:47,800 --> 00:10:53,520 Speaker 1: I'm mayor seven ten. I'd all streat this hour of 196 00:10:53,520 --> 00:10:55,760 Speaker 1: surveillance brought to you by Volvo Cars White Planes. Visit 197 00:10:55,840 --> 00:10:58,880 Speaker 1: Volvo Cars White Planes dot Com. Here's my cabar with 198 00:10:58,960 --> 00:11:01,720 Speaker 1: world in national headlines. My Tom, thank you very much. 199 00:11:01,800 --> 00:11:05,360 Speaker 1: Republican Donald Trump had to Democrat Hillary Clinton had big 200 00:11:05,400 --> 00:11:08,199 Speaker 1: wins in the New York primary. It's now on to 201 00:11:08,280 --> 00:11:11,640 Speaker 1: their next campaign. Stops Clinton and scheduled to spend today 202 00:11:12,080 --> 00:11:15,440 Speaker 1: campaigning in Pennsylvania, while Trump has a rally planned in 203 00:11:15,480 --> 00:11:19,120 Speaker 1: Maryland as well as Indiana. President Obama has landed in 204 00:11:19,200 --> 00:11:22,520 Speaker 1: Riya to meet with Saudi King Salmon. The President will 205 00:11:22,600 --> 00:11:26,240 Speaker 1: later attend the Gulf Cooperation Council's summit with Persian Gulf allies. 206 00:11:26,720 --> 00:11:30,440 Speaker 1: The president visits comes as the Saudis remain deeply opposed 207 00:11:30,480 --> 00:11:34,360 Speaker 1: to the President's outreach to a run. Michigan's attorney general 208 00:11:34,440 --> 00:11:38,120 Speaker 1: will announce criminal charges today against two state regulators and 209 00:11:38,240 --> 00:11:42,920 Speaker 1: a Flint City employees related to Flint's lead tainted water crisis. 210 00:11:43,240 --> 00:11:46,240 Speaker 1: Global News twenty four hours a day, powered by our 211 00:11:46,400 --> 00:11:49,920 Speaker 1: twenty four hundred journalists. I'm Michael Barr, Mike, Tom, Michael, 212 00:11:49,960 --> 00:11:53,000 Speaker 1: thanks so much post two days uh down the Road 213 00:11:53,320 --> 00:11:58,760 Speaker 1: forty dollars eighteen cents in West Texas, Brent down seventy three. 214 00:12:00,000 --> 00:12:04,040 Speaker 1: Scott Galloway of n y U Stern. This is Bloomberg Surveillance. 215 00:12:07,160 --> 00:12:10,040 Speaker 1: Bloomberg Surveillance has brought you by your Tri State BMW centers. 216 00:12:10,120 --> 00:12:12,240 Speaker 1: This is the Bonomline, a tri State BMW dot Com. 217 00:12:12,280 --> 00:12:21,199 Speaker 1: At BMW, they make only one thing, the ultimate driving machine. 218 00:12:22,400 --> 00:12:25,800 Speaker 1: Global Business News twenty four hours a day at Bloomberg 219 00:12:25,840 --> 00:12:28,480 Speaker 1: dot com. The Radio plus Mobile act had on your 220 00:12:28,559 --> 00:12:33,199 Speaker 1: radio is a Bloomberg Business Flash. And I'm Karen Moscow 221 00:12:33,240 --> 00:12:36,720 Speaker 1: Coca Cola posting first quarter of profit that beat analysts estimates, 222 00:12:36,840 --> 00:12:39,880 Speaker 1: revenue met and shares her down one point three per cent. 223 00:12:40,280 --> 00:12:43,120 Speaker 1: Oil is lower after Kauaid workers said they would end 224 00:12:43,120 --> 00:12:46,640 Speaker 1: a strike that disrupted output in Oppeg's fourth largest producer 225 00:12:46,720 --> 00:12:49,040 Speaker 1: for three days. Right now name x screwed Oil down 226 00:12:49,040 --> 00:12:53,280 Speaker 1: two or ninety cents to eighteen cents of barrel U 227 00:12:53,360 --> 00:12:55,880 Speaker 1: s Dock index future is they're a little change now. 228 00:12:55,920 --> 00:12:57,920 Speaker 1: The decks in Germany is up a tenth of upper 229 00:12:58,040 --> 00:13:00,800 Speaker 1: set ten. Your treasury up four or seconds. The yield 230 00:13:00,840 --> 00:13:03,240 Speaker 1: one point seven seven percent yield on a two year 231 00:13:03,320 --> 00:13:06,280 Speaker 1: point seven five percent coll MAXs Gold is down to 232 00:13:06,440 --> 00:13:09,840 Speaker 1: tenths per cent, down three dollars twenty cents at announced. 233 00:13:09,920 --> 00:13:12,720 Speaker 1: The euro at other thirteen seventy again one oh nine 234 00:13:12,720 --> 00:13:15,680 Speaker 1: point two four. That's a Bloomberg business flash. Tom and 235 00:13:15,720 --> 00:13:19,079 Speaker 1: Mike Karen, thanks so much. Good morning everyone, Bloomberg Surveillance. 236 00:13:19,440 --> 00:13:22,040 Speaker 1: We're brought to you by interactive Brokers. Are your returns 237 00:13:22,120 --> 00:13:26,400 Speaker 1: dragged down by high transaction costs? Trade up to interactive 238 00:13:26,440 --> 00:13:30,800 Speaker 1: brokers where are lower costs can help you maximize your returns. 239 00:13:31,280 --> 00:13:37,720 Speaker 1: Visit ib kr dot com, slash save more for more information. 240 00:13:37,760 --> 00:13:41,360 Speaker 1: Scott Galloway with US with New York University. We now 241 00:13:41,360 --> 00:13:44,120 Speaker 1: look at you, Scott. One of the smartest comments I've 242 00:13:44,160 --> 00:13:48,079 Speaker 1: ever heard in business was from one Martin Geller. Marty 243 00:13:48,120 --> 00:13:51,679 Speaker 1: Geller legendary Bloomberg. He's on the Bloomberg gelp board. He 244 00:13:51,760 --> 00:13:54,280 Speaker 1: keeps he keeps track of the credits and the debts 245 00:13:54,320 --> 00:13:56,920 Speaker 1: for the company and all that. Marty Geller said, once, 246 00:13:57,760 --> 00:14:01,320 Speaker 1: if something's they are and it goes way two days later, 247 00:14:01,400 --> 00:14:05,480 Speaker 1: will you miss it? If Yahoo went away, would anybody 248 00:14:05,559 --> 00:14:08,640 Speaker 1: miss it? Oh? Yeah, I do think so. I think 249 00:14:08,679 --> 00:14:10,960 Speaker 1: there's a lot of people who depend on who really 250 00:14:11,800 --> 00:14:16,360 Speaker 1: enjoy yeah who sports? Yeahoo finance? Even it sounds very pedestrian, 251 00:14:16,400 --> 00:14:19,000 Speaker 1: but it gets a huge amount of usage. Is YEAHO mail? 252 00:14:19,760 --> 00:14:22,640 Speaker 1: So yeah, yeah who? Does play a significant role in 253 00:14:22,720 --> 00:14:26,120 Speaker 1: quote unquote the attention graph, and that is there are 254 00:14:26,160 --> 00:14:28,360 Speaker 1: a lot of people spending a lot of time on Yeah. 255 00:14:28,600 --> 00:14:31,640 Speaker 1: So yeah, people would miss it. Does it Does it 256 00:14:31,760 --> 00:14:38,440 Speaker 1: integrate well into uh A Verizon or somebody like that. Yeah. 257 00:14:38,480 --> 00:14:41,960 Speaker 1: I think again the the kind of the algorithm of 258 00:14:41,960 --> 00:14:44,480 Speaker 1: the peanut butter and chocolate combination. Here is a hundred 259 00:14:44,480 --> 00:14:47,560 Speaker 1: and five million handsets and then a ton of content 260 00:14:47,640 --> 00:14:51,280 Speaker 1: that people want to see, not daily but often, and 261 00:14:51,280 --> 00:14:53,360 Speaker 1: the amount of data they can have an amount of 262 00:14:53,440 --> 00:14:57,360 Speaker 1: users they pick up creates a mobile ad platform that 263 00:14:57,480 --> 00:15:00,720 Speaker 1: could be very exciting for Verizon. Now, is it the 264 00:15:00,760 --> 00:15:06,800 Speaker 1: mobile ad platform and the algorithms that create the ad 265 00:15:07,120 --> 00:15:10,480 Speaker 1: sales that Verizon would really want? It's it has been 266 00:15:10,520 --> 00:15:14,240 Speaker 1: pointed out we had from Bloomberg gad Fly Sharro Oviity 267 00:15:14,280 --> 00:15:17,560 Speaker 1: here the other day who noted that companies that produce 268 00:15:17,800 --> 00:15:21,920 Speaker 1: content tend to be very popular for a while and 269 00:15:21,960 --> 00:15:25,400 Speaker 1: then be eclipsed by somebody else. So is what Verizon 270 00:15:25,480 --> 00:15:28,520 Speaker 1: wants not so much the contents is a way to 271 00:15:28,560 --> 00:15:31,720 Speaker 1: compete with Google and selling mobile ads. Yeah, so I 272 00:15:31,800 --> 00:15:34,800 Speaker 1: think you're buying a user base here and as opposed 273 00:15:34,840 --> 00:15:37,280 Speaker 1: to maybe you know, as as opposed to content. But 274 00:15:37,760 --> 00:15:40,800 Speaker 1: mobile advertising is so powerful when you think about one 275 00:15:40,800 --> 00:15:43,840 Speaker 1: word proximity, and that is if you know someone is 276 00:15:43,880 --> 00:15:47,080 Speaker 1: outside or near a Sephora and you know they've just 277 00:15:47,160 --> 00:15:50,480 Speaker 1: typed in Sephora, or they've typed in Blush or some 278 00:15:50,680 --> 00:15:52,680 Speaker 1: block and they're looking for it, or they are they've 279 00:15:52,680 --> 00:15:55,480 Speaker 1: typed it in recently into their web browser, and you 280 00:15:55,480 --> 00:15:58,440 Speaker 1: can push them a notification saying if you come into Sepphora, 281 00:15:58,520 --> 00:16:00,600 Speaker 1: which is eighty meters from you, and here's a map, 282 00:16:00,640 --> 00:16:03,040 Speaker 1: so you literally can just fall into the store. They 283 00:16:03,040 --> 00:16:05,480 Speaker 1: can probably sell that ad for a lot and they 284 00:16:05,520 --> 00:16:10,160 Speaker 1: have this closed loop now with this data, the fund handsets, 285 00:16:10,360 --> 00:16:12,520 Speaker 1: and then the content and the user base of the 286 00:16:12,640 --> 00:16:17,320 Speaker 1: Yahoo to offer a pretty compelling ad proposition of clients. Mike, 287 00:16:17,360 --> 00:16:19,240 Speaker 1: I did that the other day with tested you know 288 00:16:19,320 --> 00:16:24,560 Speaker 1: outside you're in Luxegen, the avenue I did Bronzer. I 289 00:16:24,640 --> 00:16:32,200 Speaker 1: have to suppor happened and brought the Bronzer to go 290 00:16:32,280 --> 00:16:35,000 Speaker 1: back to where we started though, because that raised anti 291 00:16:35,040 --> 00:16:39,240 Speaker 1: trust questions. Oh my sense is anybody who thinks that 292 00:16:39,280 --> 00:16:41,520 Speaker 1: they might have a shot at compute. I think anyone 293 00:16:41,600 --> 00:16:43,800 Speaker 1: who says who shows up to regular and says we 294 00:16:43,840 --> 00:16:46,480 Speaker 1: want to compete with Google gets a pretty warm reception. 295 00:16:47,200 --> 00:16:50,960 Speaker 1: So I don't I don't, you know, I just don't 296 00:16:50,960 --> 00:16:54,240 Speaker 1: see how Verizon runs runs into patrol. But I can't 297 00:16:54,240 --> 00:16:56,320 Speaker 1: predict that, Scott in the time we got left. There's 298 00:16:56,320 --> 00:16:57,960 Speaker 1: been a lot of articles recently too, in the New 299 00:16:58,040 --> 00:17:01,360 Speaker 1: York Times, Jim Routenberg and word articles, a con doctor 300 00:17:01,400 --> 00:17:04,359 Speaker 1: out with a smart article sort of with her digital 301 00:17:04,400 --> 00:17:06,560 Speaker 1: wither video. There's a lot of naval gazing going on 302 00:17:06,800 --> 00:17:09,919 Speaker 1: right now about the news business plan of video. Do 303 00:17:10,000 --> 00:17:14,360 Speaker 1: you believe in video doesn't have a future where companies 304 00:17:14,400 --> 00:17:17,719 Speaker 1: even like Bloomberg full disclosure and are fearless leader El 305 00:17:17,800 --> 00:17:21,800 Speaker 1: Mayor's they have to do video because someday it may work, 306 00:17:22,560 --> 00:17:24,639 Speaker 1: or is it working right now because a lot of 307 00:17:24,640 --> 00:17:27,520 Speaker 1: people are saying it's not. Video is enormous. There's a 308 00:17:27,520 --> 00:17:30,119 Speaker 1: tectonic shift taking place where young, wealthy people, who all 309 00:17:30,160 --> 00:17:33,320 Speaker 1: advertisers worship at the grail of our leaving broadcast TV. 310 00:17:33,920 --> 00:17:36,240 Speaker 1: So in step social media with a ton of new video, 311 00:17:36,280 --> 00:17:40,800 Speaker 1: whether it's periscope, merecap, Facebook video YouTube. So video is 312 00:17:40,840 --> 00:17:43,120 Speaker 1: the new black in the world of media. It's hard 313 00:17:43,160 --> 00:17:44,760 Speaker 1: to do and if you can do it, well, there's 314 00:17:44,760 --> 00:17:48,560 Speaker 1: a huge does it will um gosh, that's a great question. 315 00:17:48,880 --> 00:17:52,920 Speaker 1: You know, Bloomer does it well? You're look at what 316 00:17:52,960 --> 00:17:57,280 Speaker 1: their new, the new data, the existing online news guys flat, 317 00:17:57,680 --> 00:18:01,000 Speaker 1: the old economy guys, the hurst, the ends, the Bloomberg's 318 00:18:01,320 --> 00:18:03,400 Speaker 1: their online usage is up. And I think a lot 319 00:18:03,440 --> 00:18:06,320 Speaker 1: of that is they're just better at video given the cost. 320 00:18:07,000 --> 00:18:09,560 Speaker 1: Can they make money at it? Is there any brand 321 00:18:09,720 --> 00:18:12,879 Speaker 1: loyalty in video? Or are people looking for the video 322 00:18:13,320 --> 00:18:16,800 Speaker 1: rather than the provider? You know, it's an interesting point, 323 00:18:16,840 --> 00:18:19,520 Speaker 1: but even I would argue, I mean this again, using 324 00:18:19,520 --> 00:18:21,960 Speaker 1: Bloomer as an example, your online portal, I think you 325 00:18:22,000 --> 00:18:24,800 Speaker 1: guys get more video views than any online news portal 326 00:18:24,920 --> 00:18:27,080 Speaker 1: because you invested early and often in video and it's 327 00:18:27,119 --> 00:18:29,239 Speaker 1: paid off. That's I mean, I'm being a little bit 328 00:18:29,240 --> 00:18:33,320 Speaker 1: obsequious here, but video is what does all strategy come 329 00:18:33,359 --> 00:18:36,800 Speaker 1: down to? Do something? Do something really hard that you 330 00:18:36,800 --> 00:18:39,160 Speaker 1: can do well. And so if you can do video well, 331 00:18:39,200 --> 00:18:42,080 Speaker 1: there's a big opportunity it's getting. It's substantially higher ad 332 00:18:42,200 --> 00:18:47,040 Speaker 1: rates video than traditional banner. Does it have a durability? 333 00:18:47,160 --> 00:18:49,800 Speaker 1: I think that's the thrust of the eighteen articles that 334 00:18:49,840 --> 00:18:53,840 Speaker 1: have been written is Okay, that's fine, and the dynamics 335 00:18:53,840 --> 00:18:57,760 Speaker 1: you mentioned we live. But where is it in five years, 336 00:18:58,280 --> 00:19:03,040 Speaker 1: which no one knows. I get an idea, Yeah, honest answer, Thomas, 337 00:19:03,080 --> 00:19:04,800 Speaker 1: I don't know. We don't know. I just know that 338 00:19:04,920 --> 00:19:08,160 Speaker 1: video is getting getting higher CPMs now and everyone's trying 339 00:19:08,160 --> 00:19:11,480 Speaker 1: to reach young, millennial, wealthy consumers and so you're seeing 340 00:19:11,520 --> 00:19:15,280 Speaker 1: more innovation around video. You've seen an incredible resurgence of YouTube. 341 00:19:15,720 --> 00:19:17,359 Speaker 1: The video is the new black in the world of 342 00:19:17,400 --> 00:19:21,520 Speaker 1: online marketing and media. Scott going always valuable. Thank you 343 00:19:21,560 --> 00:19:23,919 Speaker 1: so much. Will No don't speak to you as we 344 00:19:23,960 --> 00:19:28,680 Speaker 1: see Yahoo News move forward. Uh, Mike the screen. I mean, 345 00:19:28,720 --> 00:19:31,480 Speaker 1: what's the economic story today? Do we have data housing 346 00:19:31,680 --> 00:19:35,159 Speaker 1: existing home sales? But it's not that that's driving the markets. 347 00:19:35,160 --> 00:19:38,080 Speaker 1: It's interesting that we have had this turnaround because we 348 00:19:38,080 --> 00:19:41,920 Speaker 1: were looking at the oil correlation earlier. Today oil down, 349 00:19:42,040 --> 00:19:45,440 Speaker 1: stocks down, but that's that's changed. Well, there it is. 350 00:19:45,520 --> 00:19:48,120 Speaker 1: Let's do a data check. We look at equities, bonds, currencies, commodities. 351 00:19:48,119 --> 00:19:53,160 Speaker 1: A euro one seventies strong, euro, weaker yen, fractually euro yen. 352 00:19:53,240 --> 00:19:56,520 Speaker 1: That litmus paper the pros use euro yen one twenty 353 00:19:56,720 --> 00:20:01,399 Speaker 1: four twenty Michael McKee and Tom Keane Boomberg Surveillance. Good morning. 354 00:20:06,200 --> 00:20:08,480 Speaker 1: Bloomberg Surveillance is brought to by New York Community Bank 355 00:20:08,480 --> 00:20:10,840 Speaker 1: and New York Commercial Bank, The NYCB Family of Banks 356 00:20:10,840 --> 00:20:12,680 Speaker 1: Bank with confidence. Anywhere you see the n y C 357 00:20:12,800 --> 00:20:20,320 Speaker 1: D logo, visit NYCB family dot com