1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,240 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Kind of Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:21,080 Speaker 1: and on Bloomberg dot com. There is a major, major 7 00:00:21,160 --> 00:00:24,400 Speaker 1: hearing on Capitol Hill right now. Some tex CEOs defending 8 00:00:24,400 --> 00:00:29,400 Speaker 1: section to thirty old talk about malignant information, misinformation and 9 00:00:29,480 --> 00:00:32,479 Speaker 1: the spread of that. Twitter CEO Jack Dorsey is talking 10 00:00:32,600 --> 00:00:35,680 Speaker 1: right now. Twitter has been proposing an idea where users 11 00:00:35,680 --> 00:00:39,599 Speaker 1: can choose from a series of algorithms supposedly created by 12 00:00:39,680 --> 00:00:43,320 Speaker 1: groups outside Twitter. It's just an idea right now, but 13 00:00:43,440 --> 00:00:45,599 Speaker 1: you can be sure that all of the CEOs will 14 00:00:45,640 --> 00:00:47,680 Speaker 1: be proposing some sort of ideas so that they don't 15 00:00:47,680 --> 00:00:53,279 Speaker 1: have ideas imposed upon them. So now to talk more 16 00:00:53,280 --> 00:00:55,840 Speaker 1: about what we might hear today and the reaction to it, 17 00:00:55,920 --> 00:00:59,600 Speaker 1: let's bring in Jim Anderson of Social Capital, and just 18 00:01:00,040 --> 00:01:05,160 Speaker 1: for reasons of um disclosure, we should mention that Social 19 00:01:05,200 --> 00:01:08,600 Speaker 1: Flow is used by Bloomberg as well. So Jim explained 20 00:01:08,560 --> 00:01:11,839 Speaker 1: to us, first of all, what social flow actually does. Yeah, 21 00:01:11,880 --> 00:01:14,120 Speaker 1: We're we're the social marketing platform that many of the 22 00:01:14,160 --> 00:01:16,640 Speaker 1: big media companies use to get their content out to 23 00:01:16,680 --> 00:01:19,320 Speaker 1: Facebook and Twitter and other social network so so we're 24 00:01:19,400 --> 00:01:21,280 Speaker 1: very much the conduit through which a lot of that 25 00:01:21,360 --> 00:01:24,920 Speaker 1: information flows. And of course, reputable media companies that you know, 26 00:01:24,959 --> 00:01:28,160 Speaker 1: reputable is I suppose subject to some degree of interpretation. 27 00:01:28,240 --> 00:01:30,160 Speaker 1: You know, your view of what is reputable may be 28 00:01:30,240 --> 00:01:35,240 Speaker 1: different than someone else's. Use these social platforms enormously. You know, 29 00:01:35,280 --> 00:01:38,039 Speaker 1: we see about fifty million posts a year go out. 30 00:01:38,040 --> 00:01:40,280 Speaker 1: They get more than a trillion and annual reach. So 31 00:01:40,319 --> 00:01:43,640 Speaker 1: these are enormously important platforms for media companies, and of 32 00:01:43,640 --> 00:01:48,200 Speaker 1: course they're enormously important platforms for all kinds of messaging. So, 33 00:01:48,320 --> 00:01:50,000 Speaker 1: you know, it's interesting, Jim, I guess one of the 34 00:01:50,000 --> 00:01:56,400 Speaker 1: most fundamental questions is are these companies media companies, specifically 35 00:01:56,600 --> 00:01:59,680 Speaker 1: Facebook and then also Twitter and Alphabet or they just 36 00:01:59,720 --> 00:02:04,600 Speaker 1: simply technology platforms for content. Well, they'll certainly say their 37 00:02:04,640 --> 00:02:07,080 Speaker 1: technology platforms, right, they don't want to be branded as 38 00:02:07,080 --> 00:02:09,720 Speaker 1: media companies because that comes with a whole set of obligations, 39 00:02:09,880 --> 00:02:13,560 Speaker 1: including perhaps not Section two thirty protection, which is what's 40 00:02:13,560 --> 00:02:15,840 Speaker 1: being talked about in his hearing, and so that's been 41 00:02:15,960 --> 00:02:19,120 Speaker 1: sort of a long running debate. And and in fairness 42 00:02:19,160 --> 00:02:22,480 Speaker 1: to their position, uh, you know, they don't generally create 43 00:02:22,480 --> 00:02:25,440 Speaker 1: the content, right, what do media companies do? They create contents. 44 00:02:25,480 --> 00:02:27,760 Speaker 1: They typically take a point of view, they have editorial 45 00:02:27,840 --> 00:02:30,480 Speaker 1: judgment those kinds of things. And what Facebook and Twitter 46 00:02:30,520 --> 00:02:33,360 Speaker 1: and Google will all say is we don't do that, right, 47 00:02:33,400 --> 00:02:36,000 Speaker 1: We largely don't create the content. We try to avoid 48 00:02:36,080 --> 00:02:39,680 Speaker 1: being the editorial voice. You've hurt Mark Zuckerberg say time 49 00:02:39,720 --> 00:02:41,919 Speaker 1: and time again, we don't want to be the arbiter 50 00:02:42,040 --> 00:02:44,840 Speaker 1: of truth. Now, there are certainly counter arguments to that 51 00:02:44,880 --> 00:02:46,799 Speaker 1: and legitimate points on the other side, but at least 52 00:02:46,800 --> 00:02:48,800 Speaker 1: from their positioning, they don't want to be viewed as 53 00:02:48,840 --> 00:02:52,240 Speaker 1: media company. Where are they in agreement? I mean obviously there, 54 00:02:52,480 --> 00:02:54,800 Speaker 1: but but in general when it comes to making arguments 55 00:02:54,840 --> 00:02:58,239 Speaker 1: before the committee, where will they all sound like they're 56 00:02:58,320 --> 00:03:01,120 Speaker 1: in agreements and working together pretential even and where will 57 00:03:01,160 --> 00:03:04,720 Speaker 1: they differ and want to be very much obviously distant 58 00:03:04,760 --> 00:03:07,280 Speaker 1: from each other. Well, I think where they're going to 59 00:03:07,360 --> 00:03:10,360 Speaker 1: be together is they all depend on section two thirty. 60 00:03:10,480 --> 00:03:13,600 Speaker 1: Jack Dorsey's initial statement said, you know, section two thirty 61 00:03:14,080 --> 00:03:17,079 Speaker 1: is incredibly important, and that removing section to thirty protections 62 00:03:17,080 --> 00:03:19,639 Speaker 1: will removed content from the Internet. And I think you'll 63 00:03:19,639 --> 00:03:23,200 Speaker 1: see variations of that same theme coming from all three. 64 00:03:23,760 --> 00:03:26,400 Speaker 1: I think where you may differ is in terms of 65 00:03:26,480 --> 00:03:29,600 Speaker 1: algorithmic seed you know. I think Twitter has the opportunity 66 00:03:29,639 --> 00:03:32,160 Speaker 1: to create a little bit of daylight between Facebook and Google, 67 00:03:32,240 --> 00:03:35,520 Speaker 1: because relatively, Twitter tends to be more in the moment, live, 68 00:03:35,600 --> 00:03:39,400 Speaker 1: what's happening right now, whereas Facebook and YouTube, which is 69 00:03:39,440 --> 00:03:42,880 Speaker 1: the most sort of relevant um part of Google to 70 00:03:42,920 --> 00:03:46,800 Speaker 1: this conversation, tends to be more algorithms algorithmically driven. Uh. 71 00:03:46,840 --> 00:03:49,520 Speaker 1: And it may not be as important that it happened 72 00:03:49,520 --> 00:03:51,840 Speaker 1: five minutes ago, it may have happened yesterday. But if 73 00:03:51,840 --> 00:03:53,720 Speaker 1: the oderithm is determined that you might like it it 74 00:03:53,840 --> 00:03:56,360 Speaker 1: is relevant to you, they'll surface it. So I would 75 00:03:56,360 --> 00:04:01,000 Speaker 1: expect Twitter to be somewhat less defensive of algorithms and 76 00:04:01,080 --> 00:04:03,760 Speaker 1: more willing to compromise on Hey, if you want to 77 00:04:03,760 --> 00:04:08,600 Speaker 1: regulate somethings, then regulate the way the algorithms surface content. So, Jim, 78 00:04:08,800 --> 00:04:12,720 Speaker 1: I understand why Facebook is testifying today Twitter. These are 79 00:04:12,840 --> 00:04:18,440 Speaker 1: social network platforms that really traffic in, you know, news 80 00:04:18,440 --> 00:04:21,560 Speaker 1: and content I'm a little unsure why alphabet is involved. 81 00:04:21,560 --> 00:04:24,080 Speaker 1: Why why do you think they're there? Yeah, I think 82 00:04:24,120 --> 00:04:26,560 Speaker 1: it is mostly about YouTube. You think about the way 83 00:04:26,600 --> 00:04:29,359 Speaker 1: people consume YouTube. You know, you you open up and 84 00:04:29,400 --> 00:04:31,400 Speaker 1: watch a video. However you saw it, maybe you saw 85 00:04:31,400 --> 00:04:33,640 Speaker 1: I don't know, social network, or somebody emails or texted 86 00:04:33,680 --> 00:04:36,279 Speaker 1: it to you, or you just discovered it. Well, there's 87 00:04:36,360 --> 00:04:39,920 Speaker 1: a very powerful you know, sort of following videos other 88 00:04:40,040 --> 00:04:43,080 Speaker 1: videos like this pain that shows up. And so what 89 00:04:43,160 --> 00:04:45,360 Speaker 1: happens is you sit down to watch one YouTube video 90 00:04:45,400 --> 00:04:47,920 Speaker 1: and before you know what, you've watched twelve YouTube videos, right, 91 00:04:48,160 --> 00:04:51,440 Speaker 1: and what those other eleven that you watched are very 92 00:04:51,480 --> 00:04:55,480 Speaker 1: powerfully chosen by algorithms that are incredibly similar in concept 93 00:04:55,800 --> 00:04:58,640 Speaker 1: and the scope to what Facebook does. Right, So so 94 00:04:58,680 --> 00:05:01,800 Speaker 1: that hey, if you're interested in I'll just pick something 95 00:05:01,880 --> 00:05:04,960 Speaker 1: law in order, then you may be interested in this 96 00:05:05,000 --> 00:05:07,320 Speaker 1: other type of content. And the problem that Google has 97 00:05:07,360 --> 00:05:09,440 Speaker 1: run into is if this other type of content is 98 00:05:09,480 --> 00:05:12,760 Speaker 1: the white supremacy, you know, they end up having algorithms 99 00:05:12,800 --> 00:05:16,359 Speaker 1: that recommend content, it's highly questionable. And the algorithms don't know, right, 100 00:05:16,400 --> 00:05:19,680 Speaker 1: they don't exercise editorial judgment. So the algorithm just knows 101 00:05:19,720 --> 00:05:21,960 Speaker 1: that you watched a piece of content like this. Other 102 00:05:22,000 --> 00:05:24,600 Speaker 1: people who watch content like this would be interested in 103 00:05:24,920 --> 00:05:27,360 Speaker 1: something related, and so they served you up something that 104 00:05:27,400 --> 00:05:30,919 Speaker 1: may be entirely inappropriate and that even Google may ultimately 105 00:05:31,000 --> 00:05:33,440 Speaker 1: decide is inappropriate and removed from YouTube. But it's pretty 106 00:05:33,480 --> 00:05:35,800 Speaker 1: much a cat and mouse game in terms of keeping 107 00:05:35,839 --> 00:05:40,800 Speaker 1: that that questionable content off of the platforms. So this 108 00:05:40,839 --> 00:05:44,040 Speaker 1: is hilarious, Jim. They couldn't make contact with Mark Zuckerberg, 109 00:05:44,200 --> 00:05:47,919 Speaker 1: so now that there's a recess in order to be 110 00:05:47,960 --> 00:05:51,920 Speaker 1: able to continue the hearing on bad behavior shortly. But 111 00:05:52,800 --> 00:05:56,240 Speaker 1: how ironic is that? I mean? How also, how will 112 00:05:56,240 --> 00:05:58,720 Speaker 1: I be read that the committee couldn't get in touch 113 00:05:58,760 --> 00:06:04,760 Speaker 1: with Mark Zuckerberg? He walln't available to speak to the committee? Right? Well, 114 00:06:04,920 --> 00:06:06,960 Speaker 1: I mean, so you know, we all sort of deal 115 00:06:07,040 --> 00:06:12,280 Speaker 1: with zoom. You know, he does run Facebook, I understand. 116 00:06:12,320 --> 00:06:14,600 Speaker 1: So you know, I think your question about how will 117 00:06:14,600 --> 00:06:15,919 Speaker 1: it also want to be perceived. Is it just a 118 00:06:15,920 --> 00:06:18,760 Speaker 1: technical snatt food that's quickly resolved, or is he off 119 00:06:18,760 --> 00:06:21,400 Speaker 1: doing something and he just decided decided to blow off, 120 00:06:21,480 --> 00:06:24,000 Speaker 1: you know, congressional testimony that obviously wouldn't be received. Well, 121 00:06:24,360 --> 00:06:26,240 Speaker 1: I would have to believe that you know, he takes 122 00:06:26,240 --> 00:06:29,000 Speaker 1: this seriously, understands the importance of the Senate and Congress 123 00:06:29,000 --> 00:06:32,760 Speaker 1: and regulations. So my my guess is at the technical issue. 124 00:06:32,800 --> 00:06:36,560 Speaker 1: But you know, I guess we'll have to wait and speake. Yeah, yeah, 125 00:06:36,560 --> 00:06:39,920 Speaker 1: he's back now. I guess they've they've rebooted and he's back, 126 00:06:39,920 --> 00:06:43,599 Speaker 1: so hopefully they get started again. Jiff, just wondering. You know, historically, 127 00:06:44,360 --> 00:06:48,640 Speaker 1: um in the United States, regulators government has taken a 128 00:06:48,760 --> 00:06:53,560 Speaker 1: very light touch to regulating big tech, and arguably that's 129 00:06:53,600 --> 00:06:56,640 Speaker 1: allowed big tech to be what it is in Silicon Valley, 130 00:06:56,640 --> 00:06:58,480 Speaker 1: to be what it is with all the successes. You 131 00:06:58,640 --> 00:07:02,360 Speaker 1: sense it that's changing. I think it's definitely changing. I 132 00:07:02,360 --> 00:07:05,320 Speaker 1: think it's it's true they have taken a light touch, 133 00:07:05,360 --> 00:07:07,880 Speaker 1: and I think it's a very fair statement to say 134 00:07:07,920 --> 00:07:11,120 Speaker 1: that's been allowed for enormous growth, wealth creation. You know, 135 00:07:11,160 --> 00:07:14,200 Speaker 1: these companies are some of the biggest companies in the 136 00:07:14,240 --> 00:07:17,320 Speaker 1: world now as a result in part of that might touch. 137 00:07:17,640 --> 00:07:19,920 Speaker 1: But you know, when a company gets to be you know, 138 00:07:20,320 --> 00:07:23,200 Speaker 1: near a trillion dollars in market gap or in the 139 00:07:23,200 --> 00:07:25,600 Speaker 1: two trillion dollars, I'll throw Apple and this mix, obviously, 140 00:07:25,640 --> 00:07:27,360 Speaker 1: it's a it's a different kind of company, but it's 141 00:07:27,360 --> 00:07:29,880 Speaker 1: sort of certainly falls into big tech. You know, when 142 00:07:29,920 --> 00:07:33,520 Speaker 1: you end up with market capitalizations in the trillion dollar range, 143 00:07:33,560 --> 00:07:35,679 Speaker 1: you know you're you're almost government size at that point. 144 00:07:35,720 --> 00:07:37,560 Speaker 1: And I think, you know, you get to to be 145 00:07:37,720 --> 00:07:40,160 Speaker 1: too big and and have too many issues and too 146 00:07:40,200 --> 00:07:42,560 Speaker 1: many problems and too many enemies, just lantly from a 147 00:07:42,600 --> 00:07:45,600 Speaker 1: political standpoint, so, I think it's clear both Democrats and 148 00:07:45,640 --> 00:07:50,200 Speaker 1: Republicans have a very high degree of anxiety and angst 149 00:07:50,200 --> 00:07:53,040 Speaker 1: and even animosity against the tech platforms. The interesting thing 150 00:07:53,080 --> 00:07:56,160 Speaker 1: is that they're almost diametrically opposed. Right Democrats think that 151 00:07:56,200 --> 00:07:59,080 Speaker 1: the tech platforms are not doing enough to combat misinformation, 152 00:07:59,400 --> 00:08:02,720 Speaker 1: Republicans think that the text platforms are censoring conservative content. 153 00:08:02,760 --> 00:08:06,080 Speaker 1: Those are almost exactly diametrically opposed. And so where you 154 00:08:06,120 --> 00:08:09,040 Speaker 1: get into these real interesting questions is, well, what's the remedy? 155 00:08:09,120 --> 00:08:11,240 Speaker 1: Right If if you want to revoke Section two thirty 156 00:08:11,280 --> 00:08:15,160 Speaker 1: protections and make the platforms more liable from a conservative perspective, 157 00:08:15,160 --> 00:08:17,520 Speaker 1: then you're more likely to get somebody like Facebook and 158 00:08:17,560 --> 00:08:20,800 Speaker 1: Twitter removing conservative content because they don't have any legal 159 00:08:20,840 --> 00:08:23,280 Speaker 1: protections if they keep it up. And so I think 160 00:08:23,320 --> 00:08:26,000 Speaker 1: there's a very real risk here that that somebody will 161 00:08:26,000 --> 00:08:29,440 Speaker 1: actually make the situation worse from their standpoint, um, if 162 00:08:29,640 --> 00:08:32,960 Speaker 1: they're not very fontibule about how these regulations are determined 163 00:08:32,960 --> 00:08:36,079 Speaker 1: and enacted. Jim, what would you imagine will be the 164 00:08:36,160 --> 00:08:40,640 Speaker 1: role of Twitter in public life if the presidency turns over? Well, 165 00:08:40,640 --> 00:08:42,720 Speaker 1: I think in Twitter will still be very important. You know, 166 00:08:42,760 --> 00:08:47,240 Speaker 1: I think everybody may take a breath, and the pace 167 00:08:47,320 --> 00:08:49,600 Speaker 1: of tweets coming from the President I would have to 168 00:08:49,640 --> 00:08:53,000 Speaker 1: believe be considerably lower. Um. And in some ways that's 169 00:08:53,000 --> 00:08:55,160 Speaker 1: a negative for Twitter, because you know, you could argue 170 00:08:55,200 --> 00:08:57,640 Speaker 1: that Donald Trump's presidency has done a tremendous amount to 171 00:08:57,679 --> 00:09:00,560 Speaker 1: keep Twitter relevant. But I think Twitter, if if you 172 00:09:00,720 --> 00:09:02,600 Speaker 1: sort of got an honest view from them, might actually 173 00:09:02,640 --> 00:09:04,440 Speaker 1: welcome the rest of it, because it comes with a 174 00:09:04,480 --> 00:09:06,200 Speaker 1: lot of headaches and a lot of anxiety and a 175 00:09:06,200 --> 00:09:08,640 Speaker 1: lot of problems. So I think Twitter will continue to 176 00:09:08,640 --> 00:09:11,080 Speaker 1: be very important. But I don't think you'll see, let's say, 177 00:09:11,200 --> 00:09:13,920 Speaker 1: for instance, President Biden if he wins uh, you know, 178 00:09:14,000 --> 00:09:17,439 Speaker 1: making declarations on Twitter, certainly not at a volume and 179 00:09:17,480 --> 00:09:20,800 Speaker 1: in the way that President Trump does. Jim. I guess 180 00:09:20,840 --> 00:09:24,319 Speaker 1: the ultimate concern for tech investors is perhaps some of 181 00:09:24,320 --> 00:09:26,760 Speaker 1: these companies get broken up. Do you think there's a 182 00:09:26,800 --> 00:09:30,440 Speaker 1: material risk that that could happen. Yeah, I would almost 183 00:09:30,520 --> 00:09:33,880 Speaker 1: call it not just the material risk, but a likelihood. Now, 184 00:09:33,920 --> 00:09:36,319 Speaker 1: I think the real question is how and when and 185 00:09:36,360 --> 00:09:38,560 Speaker 1: how how long does it take? Right that this is 186 00:09:38,720 --> 00:09:42,199 Speaker 1: antitrust is a year's long process. There will be plenty 187 00:09:42,200 --> 00:09:45,880 Speaker 1: of litigation. But going back to the size of these companies, 188 00:09:45,920 --> 00:09:49,959 Speaker 1: it's hard to argue Facebook, Google, certainly. Twitter maybe is 189 00:09:49,960 --> 00:09:51,480 Speaker 1: a little bit of a different story because you know, 190 00:09:51,480 --> 00:09:54,480 Speaker 1: Facebook is sixty times larger than Twitter if you want 191 00:09:54,480 --> 00:09:56,599 Speaker 1: to think about it from a market capitalization standpoint. The 192 00:09:56,679 --> 00:09:58,880 Speaker 1: lands I checked, so you know, it's it's unfair to 193 00:09:58,960 --> 00:10:02,440 Speaker 1: lump Twitter into the antitrust conversation the way you would Facebook, Google, 194 00:10:02,559 --> 00:10:04,240 Speaker 1: or even Amazon or Apple if you want to be 195 00:10:04,240 --> 00:10:06,880 Speaker 1: more expansive. And I think every one of those four 196 00:10:06,920 --> 00:10:10,719 Speaker 1: big tech companies faces a very significant risk of of 197 00:10:10,760 --> 00:10:13,680 Speaker 1: antitrust action and then either ultimately being broken up or 198 00:10:13,720 --> 00:10:16,959 Speaker 1: reaching a settlement where they voluntarily choose to diveet certain 199 00:10:17,000 --> 00:10:20,560 Speaker 1: components to satisfy regulatory concerns. And by the way, not 200 00:10:20,600 --> 00:10:22,719 Speaker 1: just in the United States. These are global companies that 201 00:10:22,840 --> 00:10:25,040 Speaker 1: you have to start thinking about the EU and other 202 00:10:25,200 --> 00:10:27,720 Speaker 1: jurisdictions as well, if you're the CEO of one of 203 00:10:27,760 --> 00:10:29,760 Speaker 1: these companies, and in my mind it at least to 204 00:10:29,840 --> 00:10:32,920 Speaker 1: some degree or another, some degree of antitrust impact is 205 00:10:32,920 --> 00:10:37,240 Speaker 1: inevitable on all four of those big, big giant tech platforms. Yeah, 206 00:10:37,320 --> 00:10:39,560 Speaker 1: I mean, the EU is way far ahead in many ways, 207 00:10:39,760 --> 00:10:42,840 Speaker 1: and you notice it when you you you you browse 208 00:10:42,880 --> 00:10:45,840 Speaker 1: around on European websites, you get asked a whole range 209 00:10:45,880 --> 00:10:48,680 Speaker 1: of questions about you know, what, what what? What information 210 00:10:48,720 --> 00:10:50,440 Speaker 1: you want to give away? How many people can you 211 00:10:50,480 --> 00:10:52,080 Speaker 1: know can use it and pass it on and so on. 212 00:10:52,120 --> 00:10:54,760 Speaker 1: So it is interesting. But so we know that Mark 213 00:10:54,840 --> 00:10:56,760 Speaker 1: Zuckerberg had the year of President Trump. We know he 214 00:10:56,840 --> 00:10:58,960 Speaker 1: wasn't going to tell us what was said in that room. 215 00:10:59,440 --> 00:11:02,640 Speaker 1: Would he us the same kind of relationship with a 216 00:11:02,679 --> 00:11:06,960 Speaker 1: different president, Uh, you know that's a great question. I'm 217 00:11:07,000 --> 00:11:09,160 Speaker 1: not sure he will, right, I mean, you know, President 218 00:11:09,160 --> 00:11:12,040 Speaker 1: Trump is a unique president at a unique moment in time. 219 00:11:12,520 --> 00:11:15,520 Speaker 1: I think, if nothing else, for reasons of optics, President 220 00:11:15,559 --> 00:11:18,400 Speaker 1: Biden isn't necessarily going to want to be perceived as 221 00:11:18,440 --> 00:11:21,120 Speaker 1: cozying up the big tech and and then you know, 222 00:11:21,200 --> 00:11:24,960 Speaker 1: never mind what the specific personal conversations were in private. 223 00:11:25,000 --> 00:11:27,280 Speaker 1: I think all you know, big tech platforms have given 224 00:11:27,320 --> 00:11:29,600 Speaker 1: the opportunity to have an audience with the president, would 225 00:11:29,679 --> 00:11:32,439 Speaker 1: choose to say yes, Why why would you not do that? Uh? 226 00:11:32,520 --> 00:11:34,680 Speaker 1: You know, I think any anytime you have the ability 227 00:11:34,679 --> 00:11:37,200 Speaker 1: to advance your cause and how people understand your business 228 00:11:37,240 --> 00:11:40,080 Speaker 1: and your position, you're probably going to want to take it. 229 00:11:40,160 --> 00:11:42,840 Speaker 1: So I would not be at all surprised again as 230 00:11:42,880 --> 00:11:45,920 Speaker 1: president if if Joe Biden does win and become president, 231 00:11:46,160 --> 00:11:48,880 Speaker 1: that you'll see as somewhat of a distance put between 232 00:11:48,960 --> 00:11:51,840 Speaker 1: him and big tech in general. And then you ultimately 233 00:11:51,840 --> 00:11:54,200 Speaker 1: we'll have to see how the Congress shakes out as well. Uh. 234 00:11:54,240 --> 00:11:56,800 Speaker 1: You know what, what their appetite is a lot of 235 00:11:56,880 --> 00:11:59,480 Speaker 1: you know, what we see now is certainly inflamed by 236 00:11:59,559 --> 00:12:02,600 Speaker 1: the election in season. Um, once the election results are 237 00:12:02,640 --> 00:12:04,600 Speaker 1: decided and we're past that, then we'll find out what 238 00:12:04,640 --> 00:12:07,760 Speaker 1: the real appetite is for for real heavy lifting of 239 00:12:08,160 --> 00:12:12,920 Speaker 1: legislation and regulatory reform. You know, Jim, this seems to this, 240 00:12:13,040 --> 00:12:15,920 Speaker 1: maybe even this hearing seems to have really come about 241 00:12:15,920 --> 00:12:18,280 Speaker 1: in the wake of that New York Post Hunter Biden story. 242 00:12:19,040 --> 00:12:20,680 Speaker 1: Why do you why do you think that got so 243 00:12:20,760 --> 00:12:25,400 Speaker 1: much traction. Well, I think it's a Twitter you know, 244 00:12:25,480 --> 00:12:28,840 Speaker 1: handled that in a very aggressive way. Some people would 245 00:12:28,880 --> 00:12:31,880 Speaker 1: say mishandled that, right, I mean that's a matter of perspective. 246 00:12:32,120 --> 00:12:34,040 Speaker 1: I think what you see, though, is that the tech 247 00:12:34,040 --> 00:12:38,000 Speaker 1: platforms Twitter in this case, are are super sensitive to 248 00:12:38,200 --> 00:12:41,400 Speaker 1: the idea that there's an October surprise that will come out, 249 00:12:41,440 --> 00:12:45,360 Speaker 1: there's an information dump of unverified information. Uh, there's an 250 00:12:45,400 --> 00:12:48,200 Speaker 1: impact on the election, and before anybody has a chance 251 00:12:48,240 --> 00:12:50,520 Speaker 1: to really that what was going on, you know, it's 252 00:12:50,520 --> 00:12:53,720 Speaker 1: affected the election, and and you know, the tech platform 253 00:12:53,720 --> 00:12:55,480 Speaker 1: towards the center of it. I think that's the concern 254 00:12:56,280 --> 00:12:58,600 Speaker 1: of what happened, at least in the view of some 255 00:12:58,679 --> 00:13:01,080 Speaker 1: back in two thousand sixteen, and so they were super 256 00:13:01,160 --> 00:13:03,640 Speaker 1: primed for this, and so they acted very quickly, but 257 00:13:03,720 --> 00:13:06,360 Speaker 1: in many ways they overreached, right. They they suspended the 258 00:13:06,360 --> 00:13:08,560 Speaker 1: Twitter account of the New York Post. And whether you 259 00:13:08,559 --> 00:13:10,800 Speaker 1: agree with the New York Post and editorial view or not, 260 00:13:11,160 --> 00:13:13,200 Speaker 1: they are the New York Post. They are generally considered 261 00:13:13,240 --> 00:13:15,920 Speaker 1: to be a reputable news source. And so when you 262 00:13:15,920 --> 00:13:20,320 Speaker 1: haven't platforms blocking the Twitter Twitter handle of a news outlet, 263 00:13:20,400 --> 00:13:23,520 Speaker 1: that's a pretty significant move. Yeah, Jim, We're gonna have 264 00:13:23,559 --> 00:13:27,960 Speaker 1: to leave there. Jim Honderson, CEO of Social Flow. Yeah, 265 00:13:30,120 --> 00:13:33,079 Speaker 1: markets selling off, the excelling as accelerated. We have the 266 00:13:33,200 --> 00:13:37,240 Speaker 1: SMP that Dow and NASAC all off about three cent. 267 00:13:37,320 --> 00:13:40,760 Speaker 1: Let's bring in Sarah Posic Bloomberg across asset reporters. Sarah, 268 00:13:40,920 --> 00:13:44,040 Speaker 1: it seems like this selling has accelerated here. Uh, we're 269 00:13:44,040 --> 00:13:47,640 Speaker 1: seeing bigger losses. Selling has accelerated. If you look across 270 00:13:47,679 --> 00:13:51,199 Speaker 1: the major averages right now towards the loads of the days, 271 00:13:51,559 --> 00:13:54,400 Speaker 1: a couple of technical levels that some investors are watching. 272 00:13:54,440 --> 00:13:56,320 Speaker 1: For example, if you were to look at the SMP 273 00:13:56,480 --> 00:13:58,800 Speaker 1: five hundred, take a look at its one hundred day 274 00:13:58,800 --> 00:14:01,320 Speaker 1: moving average. We broke through the fifty day not too 275 00:14:01,360 --> 00:14:03,080 Speaker 1: long ago, just a couple of days ago till today, 276 00:14:03,120 --> 00:14:05,560 Speaker 1: we broke through that one day moving average, which stands 277 00:14:05,679 --> 00:14:08,760 Speaker 1: just at thirty three oh six or so. So we're 278 00:14:08,920 --> 00:14:12,360 Speaker 1: still trading below it as some investors, including Matt Maillie 279 00:14:12,440 --> 00:14:15,440 Speaker 1: over at Miller's Havoc, are looking closer to the thirty 280 00:14:15,520 --> 00:14:19,360 Speaker 1: two thirty level or so, uh for support should we 281 00:14:19,440 --> 00:14:21,760 Speaker 1: need it. We still are a ways away from that level. 282 00:14:22,040 --> 00:14:24,120 Speaker 1: But if we were to break that level there would 283 00:14:24,120 --> 00:14:27,080 Speaker 1: be concerned because we would then break the trend line 284 00:14:27,520 --> 00:14:29,560 Speaker 1: since March. But as you mentioned, you look at the 285 00:14:29,560 --> 00:14:31,840 Speaker 1: major averages, the DOUBT, the SMP, at the NAZAC, they 286 00:14:31,880 --> 00:14:35,360 Speaker 1: are all down more than three at the moment. The 287 00:14:35,400 --> 00:14:38,160 Speaker 1: worst thing for the SMP since early September when the 288 00:14:38,200 --> 00:14:41,480 Speaker 1: correction really first began, which was really led by tech 289 00:14:41,520 --> 00:14:45,480 Speaker 1: stocks at the time. But well, equity selling has really 290 00:14:46,200 --> 00:14:49,440 Speaker 1: picking up. You could say, what's interesting is that we 291 00:14:49,600 --> 00:14:53,800 Speaker 1: still see pretty moderate gains in treasuries. We're not seeing 292 00:14:53,920 --> 00:14:56,200 Speaker 1: a huge rust to safety and assets. You look at 293 00:14:56,240 --> 00:14:59,680 Speaker 1: the tenure for example right now at seventy six basis points, 294 00:15:00,240 --> 00:15:02,480 Speaker 1: not flat on the day, but not seeing too much movement. 295 00:15:02,720 --> 00:15:04,760 Speaker 1: So at least in the bond market, you haven't seen 296 00:15:05,080 --> 00:15:07,680 Speaker 1: the safe haven rush pick up as we have seen 297 00:15:07,960 --> 00:15:11,040 Speaker 1: equity losses accelerate throughout the morning. Let's also bring in 298 00:15:11,080 --> 00:15:14,920 Speaker 1: Gina Martin Adams, chief equity strategist for Bloomberg Intelligence. Gina, 299 00:15:15,160 --> 00:15:17,560 Speaker 1: you know, we we thought that the tech hearring would 300 00:15:17,560 --> 00:15:18,960 Speaker 1: be the big event of the day, but it turns 301 00:15:19,000 --> 00:15:21,040 Speaker 1: out the markets are becoming the major event of the day. 302 00:15:21,480 --> 00:15:24,880 Speaker 1: Is this something that we should start getting concerned about? Well, 303 00:15:25,000 --> 00:15:27,120 Speaker 1: I think that they're actually related issues. I mean, the 304 00:15:27,200 --> 00:15:30,680 Speaker 1: market is weakest in the tech base, um, the communication 305 00:15:30,720 --> 00:15:33,800 Speaker 1: stocks and tech stocks sort of leading to clines along 306 00:15:33,880 --> 00:15:36,440 Speaker 1: with energy. So I think that the two issues are 307 00:15:36,520 --> 00:15:40,480 Speaker 1: somewhat related. Um. You know, as Sarah mentioned back in 308 00:15:40,880 --> 00:15:43,280 Speaker 1: September is the start of this correction, and it all 309 00:15:43,360 --> 00:15:46,160 Speaker 1: started with tech stocks starting to sell off. And we 310 00:15:46,240 --> 00:15:49,360 Speaker 1: have seen a tremendous amount of rotation since September. Even 311 00:15:49,440 --> 00:15:53,240 Speaker 1: the early October rally was certainly suspicious given that it 312 00:15:53,320 --> 00:15:56,800 Speaker 1: was led by utility stocks. So you know, I think 313 00:15:56,840 --> 00:15:59,600 Speaker 1: that what you have here is a case of tech 314 00:15:59,600 --> 00:16:02,120 Speaker 1: stocks losing a little bit of their luster. They're expected 315 00:16:02,160 --> 00:16:05,880 Speaker 1: to be relatively weak in the third quarter. Uh, You've 316 00:16:05,920 --> 00:16:10,080 Speaker 1: got um some serious regulatory pressures dampening the outlook for 317 00:16:10,280 --> 00:16:13,520 Speaker 1: some of the communications stuck, some of those big bell 318 00:16:13,600 --> 00:16:17,840 Speaker 1: weathers that are related to tech. And at the same time, 319 00:16:17,920 --> 00:16:20,240 Speaker 1: we've got a little bit of loss of macro momentum 320 00:16:20,360 --> 00:16:22,040 Speaker 1: that is weighing on the market, and a lot of 321 00:16:22,080 --> 00:16:24,560 Speaker 1: election jitters. So it's kind of a confluence of events. 322 00:16:24,640 --> 00:16:26,440 Speaker 1: But I do think the tech is still at the 323 00:16:26,560 --> 00:16:29,880 Speaker 1: center of the market weakness and has been since early 324 00:16:29,960 --> 00:16:33,040 Speaker 1: September Gene. How much of this is just kind of 325 00:16:33,560 --> 00:16:38,880 Speaker 1: the pandemic numbers globally going the wrong direction. Ah, I 326 00:16:38,960 --> 00:16:41,040 Speaker 1: don't know how much of it honestly is a pandemic. 327 00:16:41,160 --> 00:16:43,880 Speaker 1: I know that that's an easy sort of culprit to 328 00:16:44,080 --> 00:16:46,920 Speaker 1: point to, and certainly the fact that the pandemic is 329 00:16:47,480 --> 00:16:51,040 Speaker 1: re accelerating case counts re accelerating once again does have 330 00:16:51,800 --> 00:16:54,200 Speaker 1: some people nervous about what that may mean for the 331 00:16:54,280 --> 00:16:57,080 Speaker 1: economic outlook. But I do think that for the most part, 332 00:16:57,160 --> 00:17:00,920 Speaker 1: it's unlikely that global economy shut down like they did 333 00:17:00,960 --> 00:17:05,359 Speaker 1: in March. Um. Instead, there do appear to be alternative 334 00:17:05,440 --> 00:17:09,080 Speaker 1: measures for dealing with the virus case count load moving higher, 335 00:17:09,119 --> 00:17:12,760 Speaker 1: and they don't all um necessarily results in a massive 336 00:17:12,880 --> 00:17:16,399 Speaker 1: economic shutdown. I think instead it may be related to 337 00:17:16,480 --> 00:17:18,920 Speaker 1: the fact that case counts are moving higher. We don't 338 00:17:18,960 --> 00:17:23,200 Speaker 1: have a vaccine yet, and fiscal policy seems to have stalled, 339 00:17:23,280 --> 00:17:25,320 Speaker 1: so we don't have a fiscal policy package to sort 340 00:17:25,320 --> 00:17:27,720 Speaker 1: of back stop the economy and help us re accelerate 341 00:17:27,800 --> 00:17:31,320 Speaker 1: that macro momentum in the face of case counts going higher. 342 00:17:31,440 --> 00:17:34,560 Speaker 1: We're not likely to reopen more in the face of 343 00:17:34,640 --> 00:17:36,320 Speaker 1: case counts going higher so it is. It is a 344 00:17:36,400 --> 00:17:39,280 Speaker 1: peripheral a fact, but I think it's more about the 345 00:17:39,359 --> 00:17:42,160 Speaker 1: fact that, you know, the global economy did recover pretty 346 00:17:42,200 --> 00:17:47,240 Speaker 1: substantially from March into college September, and that recovery has 347 00:17:47,320 --> 00:17:51,000 Speaker 1: slowed in the weeks since um and that slowdown has 348 00:17:51,040 --> 00:17:54,080 Speaker 1: investors a little bit nervous, particularly without any sign of 349 00:17:54,200 --> 00:18:00,200 Speaker 1: support coming from the fiscal policymakers. Sarah, We're looking across said, 350 00:18:00,280 --> 00:18:03,000 Speaker 1: and you know it, it's pretty cost the board today. 351 00:18:03,040 --> 00:18:05,879 Speaker 1: It's just a general feeling of mal is you know, 352 00:18:06,240 --> 00:18:09,359 Speaker 1: given everything that Gena Martinas said right. I mentioned that 353 00:18:09,400 --> 00:18:11,520 Speaker 1: we aren't really seeing a huge shift in the bond market. 354 00:18:11,520 --> 00:18:13,760 Speaker 1: But if you look at currency markets, for example, we 355 00:18:13,840 --> 00:18:16,240 Speaker 1: see the dollar higher today, we see the Japanese yenn 356 00:18:16,320 --> 00:18:19,560 Speaker 1: higher today. Those are the two best performing G ten currencies, 357 00:18:19,560 --> 00:18:21,679 Speaker 1: and the end is the only major currency that it's 358 00:18:21,760 --> 00:18:24,800 Speaker 1: higher against the U S dollars. So we are seeing 359 00:18:24,920 --> 00:18:28,399 Speaker 1: this flock to safety across FX market's a little bit 360 00:18:28,480 --> 00:18:31,680 Speaker 1: more so, even if we're not seeing it completely reflected 361 00:18:32,080 --> 00:18:34,720 Speaker 1: in the bond market. Granted, when we look at the 362 00:18:34,720 --> 00:18:36,960 Speaker 1: bond market, you look at the ten year around seventy 363 00:18:37,000 --> 00:18:39,560 Speaker 1: six basis points or so, I mean these are still extremely, 364 00:18:39,640 --> 00:18:43,000 Speaker 1: extremely low bond yield. There had been some talk about 365 00:18:43,080 --> 00:18:45,680 Speaker 1: movement back up towards one percent just last week. So 366 00:18:45,800 --> 00:18:49,520 Speaker 1: it's amazing to see how quickly this narrative has really flipped, 367 00:18:49,640 --> 00:18:52,920 Speaker 1: how quickly it has changed. And now we just see 368 00:18:53,040 --> 00:18:55,320 Speaker 1: yields stuck back in the range that we've almost been 369 00:18:55,359 --> 00:18:59,359 Speaker 1: stuck in all year long, with uncertainty as ahead. Gina 370 00:18:59,440 --> 00:19:02,560 Speaker 1: laid out many of them, including the election, including the 371 00:19:02,640 --> 00:19:05,639 Speaker 1: macro tailwinds kind of coming to a head at the moment. 372 00:19:05,880 --> 00:19:08,800 Speaker 1: And when we think about rising COVID case counts, yes, 373 00:19:09,040 --> 00:19:11,240 Speaker 1: we likely won't see a lockdown like we saw earlier 374 00:19:11,280 --> 00:19:14,040 Speaker 1: in the year, but there is a question about one. 375 00:19:14,080 --> 00:19:15,520 Speaker 1: We think about the rebound that we saw in the 376 00:19:15,560 --> 00:19:19,159 Speaker 1: equity markets, how many investors were looking to one and 377 00:19:19,240 --> 00:19:21,720 Speaker 1: saying the market is a forward looking mechanism, things will 378 00:19:21,800 --> 00:19:24,840 Speaker 1: get better. Well, how much better can they get if 379 00:19:24,880 --> 00:19:28,119 Speaker 1: we don't see total improvement, if we don't see treatments, vaccines, 380 00:19:28,640 --> 00:19:32,200 Speaker 1: whatever you need or deemed necessary to see a full 381 00:19:32,320 --> 00:19:35,480 Speaker 1: economic recovery. And Sarah just looking at the it's not 382 00:19:35,600 --> 00:19:38,800 Speaker 1: just the equities here and bonds and currencies. I'm just 383 00:19:38,840 --> 00:19:41,359 Speaker 1: looking at oil right here, off over six percent. Today 384 00:19:41,480 --> 00:19:43,560 Speaker 1: w t I crew trading about thirty seven dollars and 385 00:19:43,600 --> 00:19:46,159 Speaker 1: ten dollars thirty seven dollars and ten cents of barrel 386 00:19:46,680 --> 00:19:48,920 Speaker 1: to me, I guess that suggests that that market is 387 00:19:48,960 --> 00:19:52,399 Speaker 1: saying future demand it's not as good as we thought. Right, 388 00:19:52,480 --> 00:19:55,240 Speaker 1: that's exactly right. We have seen oil just lodged around 389 00:19:55,280 --> 00:19:58,280 Speaker 1: that forty dollar a barrel barrel mark, not all year long, 390 00:19:58,359 --> 00:20:01,040 Speaker 1: but ever since that catastrophe. When we prices go negative, 391 00:20:01,240 --> 00:20:02,840 Speaker 1: shoot back up, and we have since kind of just 392 00:20:02,920 --> 00:20:05,520 Speaker 1: been hovering around that level. If you look at w 393 00:20:05,680 --> 00:20:07,480 Speaker 1: t I crude oil right now, down more than six 394 00:20:07,920 --> 00:20:10,639 Speaker 1: that's the worst day since September eight. That day we 395 00:20:10,720 --> 00:20:12,920 Speaker 1: did see crude oil down more than seven and a 396 00:20:13,000 --> 00:20:15,879 Speaker 1: half percent. But like you said, it doesn't seem as 397 00:20:15,920 --> 00:20:19,159 Speaker 1: though the global demand picture is improving at least and 398 00:20:19,280 --> 00:20:21,680 Speaker 1: on that front, for example, if you bring it back 399 00:20:21,760 --> 00:20:25,640 Speaker 1: to stocks that do require plenty of gasoline, for example, 400 00:20:26,040 --> 00:20:28,800 Speaker 1: you look at airlines, you look at cruise lines, you 401 00:20:28,840 --> 00:20:31,200 Speaker 1: look at Carnival for example, down ten percent at the moment, 402 00:20:31,320 --> 00:20:35,440 Speaker 1: Norwegian down more than eight percent. Airlines also taking a hit. 403 00:20:35,640 --> 00:20:39,520 Speaker 1: So big picture, like you said, that global demand picture 404 00:20:39,640 --> 00:20:42,800 Speaker 1: just certainly doesn't look to be improving. It's not heading 405 00:20:42,800 --> 00:20:46,439 Speaker 1: in the right direction. Gina. Healthcare is funny one these 406 00:20:46,520 --> 00:20:49,360 Speaker 1: days because I'm seeing a lot of you know, negative 407 00:20:49,400 --> 00:20:52,480 Speaker 1: comments about healthcare and healthcare industry, and yet we have 408 00:20:52,600 --> 00:20:54,840 Speaker 1: so many of these companies working so hard on things 409 00:20:54,920 --> 00:20:59,120 Speaker 1: like pandemic you know, uh solutions and so on. Why 410 00:20:59,280 --> 00:21:03,359 Speaker 1: is healthcare being so maligned? Yeah, that's a good question. 411 00:21:03,480 --> 00:21:06,560 Speaker 1: We actually wrote about this this week because healthcare earnings 412 00:21:06,600 --> 00:21:09,919 Speaker 1: are starting to roll out in healthcare fundamentally is one 413 00:21:09,960 --> 00:21:12,320 Speaker 1: of the best position sectors in the SMP five DRED, 414 00:21:12,400 --> 00:21:15,520 Speaker 1: some of the strongest revenue and earnings growth currently and 415 00:21:15,680 --> 00:21:18,840 Speaker 1: expected to continue to produce pretty strong fundamental growth going 416 00:21:18,880 --> 00:21:23,280 Speaker 1: into Yet healthcare is discounted relative to consumer staples and 417 00:21:23,359 --> 00:21:25,800 Speaker 1: trading at its largest discount relative to the SMP five 418 00:21:26,040 --> 00:21:29,040 Speaker 1: DRED since it's two thousand nine low, And I think 419 00:21:29,080 --> 00:21:33,920 Speaker 1: that that's reflective of policy sort of dominating um the 420 00:21:34,000 --> 00:21:36,879 Speaker 1: outlook for healthcare stocks. Even in the face of the pandemic, 421 00:21:37,040 --> 00:21:40,119 Speaker 1: Investors are very concerned about what policy is going to 422 00:21:40,240 --> 00:21:43,320 Speaker 1: look like. Obviously, with the changes that we've had recently 423 00:21:43,400 --> 00:21:45,480 Speaker 1: at the Supreme Court, there's a lot of concern about 424 00:21:45,480 --> 00:21:50,640 Speaker 1: a rollback of Obamacare passed years ago and the impact 425 00:21:50,720 --> 00:21:52,960 Speaker 1: that that may have on the insurers. There's also some 426 00:21:53,080 --> 00:21:56,159 Speaker 1: concern about a blue wave taking over Washington and the 427 00:21:56,280 --> 00:21:59,520 Speaker 1: impact that may have across the healthcare spectrum spectrum, but 428 00:21:59,600 --> 00:22:04,160 Speaker 1: in particular on the pharmaceutical and biotech companies, and especially 429 00:22:04,240 --> 00:22:07,800 Speaker 1: even more targeted there on the prices of their products. 430 00:22:08,040 --> 00:22:10,480 Speaker 1: So there's a tremendous amount of concern just from the 431 00:22:10,560 --> 00:22:13,720 Speaker 1: policy perspective, and it's not it doesn't even stop there. 432 00:22:13,960 --> 00:22:16,520 Speaker 1: You've got to roll into tax policy as well, because 433 00:22:16,560 --> 00:22:19,639 Speaker 1: healthcare companies do practice inversions, they have a ton of 434 00:22:19,760 --> 00:22:22,880 Speaker 1: cash held overseas, they have a lot of multinational revenue, 435 00:22:23,480 --> 00:22:27,959 Speaker 1: and some of the Biden proposals on tax would um 436 00:22:28,080 --> 00:22:30,919 Speaker 1: sort of indiscriminately dampen the outlook for health care as 437 00:22:30,960 --> 00:22:34,080 Speaker 1: well as technology stuck. So there's a lot of concern 438 00:22:34,320 --> 00:22:38,280 Speaker 1: from a policy perspective impacting healthcare, and I think that 439 00:22:38,400 --> 00:22:42,879 Speaker 1: that's dominating the sentiment towards that sector, resulting in tremendously 440 00:22:42,920 --> 00:22:46,840 Speaker 1: low valuations in comparison to the rest of the other index. A. Jena, 441 00:22:46,880 --> 00:22:48,840 Speaker 1: thanks so much for joining us. We appreciate it. Jina 442 00:22:48,880 --> 00:22:53,280 Speaker 1: Martin's Adams, she is a senior strategist for Bloomberg Intelligence, 443 00:22:53,440 --> 00:22:56,800 Speaker 1: and Sara Ponzic, cross asset reporter for Bloomberg News joining 444 00:22:56,840 --> 00:22:58,680 Speaker 1: us as well. Thank you both, We appreciate your thoughts 445 00:22:58,800 --> 00:23:01,760 Speaker 1: on this very difficult day in the financial Market's a 446 00:23:01,880 --> 00:23:04,920 Speaker 1: huge sell off across the board, equities down about three. 447 00:23:07,960 --> 00:23:11,000 Speaker 1: Let's take a focus in a little bit more on technology. 448 00:23:11,280 --> 00:23:14,359 Speaker 1: Certainly center stage here today in Washington, going to be 449 00:23:14,400 --> 00:23:17,159 Speaker 1: center stage tomorrow when we have over chillion dollars of 450 00:23:17,200 --> 00:23:20,400 Speaker 1: market cap reporting earnings. Nobody better to talk to than 451 00:23:20,480 --> 00:23:24,400 Speaker 1: our friend Dan Eyes, Managing director equity analyst at Wedbush Securities. 452 00:23:24,440 --> 00:23:26,760 Speaker 1: Dan and I are still trying to recover from Penn 453 00:23:26,800 --> 00:23:30,000 Speaker 1: State's loss at Indiana last week. But Dan, let's try 454 00:23:30,080 --> 00:23:33,280 Speaker 1: to move forward here. What are you seeing here in 455 00:23:33,359 --> 00:23:35,920 Speaker 1: the world of big tech and earnings. It's gonna be 456 00:23:36,000 --> 00:23:41,040 Speaker 1: a huge day tomorrow. It's huge, and really it's fork 457 00:23:41,119 --> 00:23:44,239 Speaker 1: in the road situation for tech stocks. You look at 458 00:23:44,280 --> 00:23:47,159 Speaker 1: Microsoft or strong number stocks selling off. There's really a 459 00:23:47,280 --> 00:23:49,240 Speaker 1: risk off trade and I think you're seeing it with 460 00:23:49,800 --> 00:23:52,760 Speaker 1: election backdrop and a lot of evaluations that have moved 461 00:23:52,800 --> 00:23:56,320 Speaker 1: significantly higher. Now I really view tomorrow as a seminal 462 00:23:56,440 --> 00:24:00,000 Speaker 1: day for Fanning stocks. I believe fundamentally we're gonna see 463 00:24:00,080 --> 00:24:03,120 Speaker 1: strength across the board. I believe this sell off here 464 00:24:03,240 --> 00:24:06,920 Speaker 1: is short lived in my opinion, as the fundamental strength 465 00:24:07,280 --> 00:24:10,920 Speaker 1: in tech continues to be there. That's why tomorrow is 466 00:24:10,960 --> 00:24:14,160 Speaker 1: really we'll call it the world Series, the super Bowl 467 00:24:14,520 --> 00:24:19,800 Speaker 1: for textox. Well, after last night, I guess, I guess 468 00:24:19,840 --> 00:24:22,639 Speaker 1: there's no harm in doing that, right done? Just were 469 00:24:22,640 --> 00:24:24,879 Speaker 1: you watching the hearing this morning? Is very curious as 470 00:24:24,920 --> 00:24:27,520 Speaker 1: lone of things stood out to you. Well, I think 471 00:24:27,560 --> 00:24:30,600 Speaker 1: it's a little more of a grandstanding, but to some 472 00:24:30,800 --> 00:24:34,200 Speaker 1: extent it really it kicks off what is going to 473 00:24:34,359 --> 00:24:36,920 Speaker 1: be the belt Way versus Big Tech battle, and this 474 00:24:37,160 --> 00:24:41,080 Speaker 1: is not gonna softened in terms of momentum. We're gonna 475 00:24:41,160 --> 00:24:43,080 Speaker 1: see this more and more as begin two thousand and 476 00:24:43,080 --> 00:24:46,960 Speaker 1: twenty one. A blue weave, you know, potentially sends anti 477 00:24:47,320 --> 00:24:50,960 Speaker 1: trust as well as even Section two thirty issues more 478 00:24:51,000 --> 00:24:53,800 Speaker 1: in the forefront, and I think it just speaks to 479 00:24:54,720 --> 00:24:57,040 Speaker 1: right now there's a target on the back attack. And 480 00:24:57,080 --> 00:24:59,600 Speaker 1: I think when you see social media players like today, 481 00:25:00,600 --> 00:25:02,920 Speaker 1: you're really starting to see them leaser more in on 482 00:25:03,040 --> 00:25:06,159 Speaker 1: two thirty as it seems reforms is clearly on the 483 00:25:06,240 --> 00:25:10,880 Speaker 1: horizon regardless of who gets in the White House. So, Dan, 484 00:25:11,640 --> 00:25:14,800 Speaker 1: assuming we go that path, what do you think the 485 00:25:14,960 --> 00:25:18,720 Speaker 1: risk is to the business model of some of these 486 00:25:18,960 --> 00:25:22,000 Speaker 1: social media platforms? And I guess we'll throw Alphabet in 487 00:25:22,080 --> 00:25:25,760 Speaker 1: there as well, given its YouTube product. How do you 488 00:25:25,880 --> 00:25:29,080 Speaker 1: kind of frame that out? I think it all depends 489 00:25:29,240 --> 00:25:32,119 Speaker 1: on what the reform looks like on two thirty, and 490 00:25:32,200 --> 00:25:34,600 Speaker 1: it's going to be a battleground, you know, depending on 491 00:25:35,480 --> 00:25:38,760 Speaker 1: what we see from from both aisles. But I do 492 00:25:38,880 --> 00:25:41,280 Speaker 1: believe it's a business model risk, and I think it's 493 00:25:41,359 --> 00:25:44,400 Speaker 1: something where you know, it could change from an advertising 494 00:25:44,560 --> 00:25:47,080 Speaker 1: perspective what you see on the social media side, and 495 00:25:47,160 --> 00:25:50,119 Speaker 1: from a content perspective. And I think this is something 496 00:25:50,240 --> 00:25:52,560 Speaker 1: that investors, you know, if you think about just the 497 00:25:52,680 --> 00:25:56,520 Speaker 1: overall risk against big tax, just forget fundamentals for a sect. 498 00:25:57,400 --> 00:26:00,840 Speaker 1: It's been viewed as contained background noise rug the shoulders. 499 00:26:00,920 --> 00:26:03,879 Speaker 1: I think now as we start to get in and 500 00:26:04,040 --> 00:26:06,440 Speaker 1: through the election two thousand twenty one, it becomes a 501 00:26:06,520 --> 00:26:09,919 Speaker 1: more pronounced risk potentially to the business models here at 502 00:26:10,000 --> 00:26:12,760 Speaker 1: social media front and center, but especially when you look 503 00:26:12,760 --> 00:26:15,720 Speaker 1: at Google and from the d O j Frount. They're 504 00:26:15,840 --> 00:26:18,920 Speaker 1: really in the eye of the storm as well as Facebook. 505 00:26:20,760 --> 00:26:22,840 Speaker 1: Are any of the companies more talkative because of the 506 00:26:22,880 --> 00:26:29,680 Speaker 1: self look, I think, you know, when you overall look 507 00:26:29,760 --> 00:26:32,560 Speaker 1: at sort of big tech what we're seeing here, I 508 00:26:32,600 --> 00:26:35,800 Speaker 1: think you a must have to put into two different 509 00:26:35,840 --> 00:26:38,919 Speaker 1: sort of buckets. I think there's ones with fundamental catalysts 510 00:26:39,400 --> 00:26:41,760 Speaker 1: and now be ones with Apple and Amazon. I think 511 00:26:41,760 --> 00:26:44,520 Speaker 1: you'll see that tomorrow terms of Amazon the e commerce 512 00:26:44,560 --> 00:26:47,560 Speaker 1: cloud as well as Apple on five G what I 513 00:26:47,640 --> 00:26:50,720 Speaker 1: believe is a supercycled iPhone twelve. But when it comes 514 00:26:50,760 --> 00:26:53,720 Speaker 1: to social media, I mean this, this right now is 515 00:26:53,760 --> 00:26:55,960 Speaker 1: a risk, and that's why fundamental has become even that 516 00:26:56,200 --> 00:27:00,600 Speaker 1: much more important to show that advertisers are you know, 517 00:27:00,720 --> 00:27:03,200 Speaker 1: not leaven the platform. And that's really been the tale 518 00:27:03,240 --> 00:27:06,680 Speaker 1: of two cities the last six to nine months. Despite 519 00:27:06,760 --> 00:27:11,080 Speaker 1: the headwinds and despite potential black eyes, you've really seen 520 00:27:11,560 --> 00:27:15,480 Speaker 1: come as a Facebook thrive. Yeah. It's it's amazing, Dan, 521 00:27:15,560 --> 00:27:19,640 Speaker 1: I mean, even during this pandemic um we've seen digital 522 00:27:19,760 --> 00:27:24,560 Speaker 1: advertising hold up pretty darn well. It almost seems like, 523 00:27:26,000 --> 00:27:27,840 Speaker 1: you know, this might have been accelerated some of the 524 00:27:28,000 --> 00:27:31,240 Speaker 1: migration from traditional media to digital media is that something 525 00:27:31,280 --> 00:27:34,720 Speaker 1: you've seen. Yeah, I think components of it, but no 526 00:27:34,920 --> 00:27:38,359 Speaker 1: doubt Google in particular has seen some headwinds, and I 527 00:27:38,440 --> 00:27:41,160 Speaker 1: think that has been contained relative to sang names where 528 00:27:41,200 --> 00:27:44,280 Speaker 1: you've seen strength across the board from Netflix to Apple 529 00:27:44,280 --> 00:27:47,879 Speaker 1: and Amazon and and I think right now, if you 530 00:27:47,920 --> 00:27:51,040 Speaker 1: look at the valuations, you've had powered on moves, so 531 00:27:51,280 --> 00:27:55,280 Speaker 1: you've had re ratings, but now the fundamentals can need 532 00:27:55,359 --> 00:27:58,840 Speaker 1: to continue to sort of see beaton maries type stories 533 00:27:59,320 --> 00:28:01,680 Speaker 1: going into the next year. And I'll just use Microsoft 534 00:28:01,680 --> 00:28:04,600 Speaker 1: as a good example. Those are about as rebustive a 535 00:28:04,760 --> 00:28:07,960 Speaker 1: quarter that you'll get, and they gave strong guidance and 536 00:28:08,119 --> 00:28:11,639 Speaker 1: stocks off because investors it's a risk off trade. Stocks 537 00:28:11,680 --> 00:28:13,600 Speaker 1: had a huge move and they wanted more. And I 538 00:28:13,680 --> 00:28:17,200 Speaker 1: think that's going into tomorrow. You know, it's really tech 539 00:28:17,280 --> 00:28:19,760 Speaker 1: doesn't move higher without saying and I'd say the market 540 00:28:19,840 --> 00:28:23,080 Speaker 1: doesn't move higher without saying hims. That's why tomorrow is 541 00:28:23,240 --> 00:28:26,800 Speaker 1: really almost support some of their movement between the bulls 542 00:28:26,840 --> 00:28:30,840 Speaker 1: and the bears. Is we go into you know, earnings 543 00:28:31,200 --> 00:28:34,800 Speaker 1: as well as to the selection cycle. Don where is 544 00:28:34,880 --> 00:28:37,160 Speaker 1: the next round of innovation going to come from? Which 545 00:28:37,200 --> 00:28:39,760 Speaker 1: of these companies as best positions to you know, blow 546 00:28:39,800 --> 00:28:42,760 Speaker 1: our minds in the coming years. Well, I think it's 547 00:28:42,800 --> 00:28:47,120 Speaker 1: Apple to me when I think about five G and 548 00:28:47,280 --> 00:28:50,280 Speaker 1: ultimately when I think about a ARE and what they're 549 00:28:50,400 --> 00:28:53,160 Speaker 1: doing on wearables, I think that's sort of the next 550 00:28:53,360 --> 00:28:56,120 Speaker 1: level of innovation when I think about what's coming out 551 00:28:56,200 --> 00:28:59,680 Speaker 1: of Apple, even though many would say the innovations obviously 552 00:28:59,680 --> 00:29:01,760 Speaker 1: the rear humor, and they continue to prove it wrong. 553 00:29:02,400 --> 00:29:04,200 Speaker 1: I think when I look at Apple, and of course 554 00:29:04,240 --> 00:29:06,760 Speaker 1: on the e V side, you know it's really been 555 00:29:06,960 --> 00:29:09,360 Speaker 1: just testa. Now you look at GM and others that 556 00:29:09,480 --> 00:29:13,280 Speaker 1: disruptive technology, I think e V you're going to continue 557 00:29:13,280 --> 00:29:16,040 Speaker 1: to see that is really just a massive opportunity, and 558 00:29:16,200 --> 00:29:19,560 Speaker 1: you're seeing more of a blurring of the lines between 559 00:29:20,120 --> 00:29:25,000 Speaker 1: technology and automotive and some other traditional technology players. But 560 00:29:25,160 --> 00:29:28,480 Speaker 1: just if you compare look at Microsoft compared to SAP 561 00:29:28,600 --> 00:29:31,800 Speaker 1: and Enterprise, it just shows Cloud either a winner or 562 00:29:31,800 --> 00:29:33,560 Speaker 1: a loser. And I think it just shows that why 563 00:29:33,640 --> 00:29:38,200 Speaker 1: in the sand is continuing to become just that much 564 00:29:38,320 --> 00:29:44,840 Speaker 1: more evident in this world. Attack Dan, given what's going 565 00:29:44,880 --> 00:29:46,960 Speaker 1: on here from the regulatory front as it relates to 566 00:29:47,280 --> 00:29:51,320 Speaker 1: advertising social media platforms, do you expect Amazon to continue 567 00:29:51,560 --> 00:29:55,200 Speaker 1: it's push into advertising. It's really become a big, big 568 00:29:55,280 --> 00:29:58,280 Speaker 1: player in digital advertising. Yeah, and I think for them 569 00:29:58,560 --> 00:30:01,440 Speaker 1: it's been a great strategic move, but a slippery slope 570 00:30:01,480 --> 00:30:05,200 Speaker 1: as well as it becomes more and more from a 571 00:30:05,280 --> 00:30:09,720 Speaker 1: regulatory perspective front and center. And I think it's something 572 00:30:09,800 --> 00:30:12,600 Speaker 1: where when you look at an Amazon, it's all about monetization. 573 00:30:12,720 --> 00:30:15,959 Speaker 1: They're continued to monitize their ecosystem is as really as 574 00:30:16,000 --> 00:30:18,880 Speaker 1: good as any company has ever done. And I think 575 00:30:18,960 --> 00:30:22,560 Speaker 1: that's that's really what Bezos continues to drive an Amazon. 576 00:30:22,640 --> 00:30:26,640 Speaker 1: But no doubt regulatory especially, we're seeing the d og side. 577 00:30:27,400 --> 00:30:31,760 Speaker 1: It's going to really not just women acquisitions, but really 578 00:30:32,160 --> 00:30:35,880 Speaker 1: women some of these coming strategic moves into other areas 579 00:30:36,200 --> 00:30:38,680 Speaker 1: where they've been free as a bird to go into 580 00:30:39,280 --> 00:30:42,040 Speaker 1: and Amazon really being a good example where I think 581 00:30:42,040 --> 00:30:44,320 Speaker 1: you're gonna start to see the wings equipped a bit 582 00:30:45,120 --> 00:30:49,960 Speaker 1: regardless of what happens in the election cycle. To ask 583 00:30:50,000 --> 00:30:54,240 Speaker 1: you about these insurance disruptor, I guess they're being called 584 00:30:54,320 --> 00:30:59,320 Speaker 1: insure text roots financial going public today? Is that an 585 00:30:59,320 --> 00:31:02,600 Speaker 1: area that's right for disruption and if so, why hasn't 586 00:31:02,640 --> 00:31:06,360 Speaker 1: it been already? I think that's a good example where 587 00:31:06,440 --> 00:31:10,400 Speaker 1: you're starting to see more and more technology or sort 588 00:31:10,440 --> 00:31:14,560 Speaker 1: of next gen we'ves what i'd say traditional industries, and 589 00:31:15,080 --> 00:31:17,400 Speaker 1: I think we're seeing on the fan and side of 590 00:31:17,480 --> 00:31:20,120 Speaker 1: renaissance of growth not just in the US, but even 591 00:31:20,760 --> 00:31:23,000 Speaker 1: in China with the n I, p O and others. 592 00:31:23,400 --> 00:31:25,200 Speaker 1: And I think this is really going to be It's 593 00:31:25,240 --> 00:31:30,600 Speaker 1: almost a wild wild West in terms of uh disruption 594 00:31:30,680 --> 00:31:33,200 Speaker 1: of business models. And you're I think you're seeing on 595 00:31:33,280 --> 00:31:37,200 Speaker 1: the VC side more funding, especially in this area. Why 596 00:31:37,320 --> 00:31:40,640 Speaker 1: the private companies going after what could be just a 597 00:31:40,800 --> 00:31:44,400 Speaker 1: massive opportunity on what I've used for the next gen 598 00:31:44,520 --> 00:31:48,640 Speaker 1: finance side. Hey, Dan, thanks so much. We always appreciate 599 00:31:48,720 --> 00:31:51,840 Speaker 1: your thoughts. Dan Ives, Managing director, equity analyst that would 600 00:31:51,880 --> 00:31:54,200 Speaker 1: Bush Security hopefully are Nittney Alliance will have a better 601 00:31:54,320 --> 00:31:58,080 Speaker 1: weekend at this weekend coming up. Then, thanks for listening 602 00:31:58,120 --> 00:32:01,400 Speaker 1: to Bloomberg Markets podcast. You and subscribe and listen to 603 00:32:01,560 --> 00:32:05,320 Speaker 1: interviews at Apple Podcasts or whatever a podcast platform you prefer. 604 00:32:05,560 --> 00:32:08,520 Speaker 1: I'm Bonnie Quinn, I'm on Twitter at Bonnie Quinn, and 605 00:32:08,600 --> 00:32:11,200 Speaker 1: I'm Paul Sweeney. I'm on Twitter at pt Sweeney. Before 606 00:32:11,240 --> 00:32:14,080 Speaker 1: the podcast, you can always catch us worldwide at Bloomberg 607 00:32:14,160 --> 00:32:14,360 Speaker 1: radio