1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:17,880 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,640 Speaker 1: or watch us live on YouTube. 6 00:00:23,200 --> 00:00:28,320 Speaker 2: Through China reportedly telling its tech companies stop buying Nvidia's 7 00:00:28,400 --> 00:00:31,960 Speaker 2: AI chips. You know what, even canceled your existing orders 8 00:00:32,200 --> 00:00:35,080 Speaker 2: here too. Talk about it as Man Deep saying, Bloomberg Intelligence, 9 00:00:35,080 --> 00:00:37,440 Speaker 2: Global head of Technology Research, joining us here in a 10 00:00:37,440 --> 00:00:40,560 Speaker 2: New York studio, Mandy, thanks for being here. Just how 11 00:00:40,560 --> 00:00:42,800 Speaker 2: big a blow is this to in Vidia at this 12 00:00:42,960 --> 00:00:45,400 Speaker 2: moment in time, given how much of its business is 13 00:00:45,440 --> 00:00:46,160 Speaker 2: tied to China. 14 00:00:46,720 --> 00:00:49,680 Speaker 3: Well, if you go back to the guy that Nvidio 15 00:00:49,760 --> 00:00:55,120 Speaker 3: gave during their second quarter earnings, they sort of anticipated 16 00:00:55,200 --> 00:00:58,520 Speaker 3: this that a lot of the China revenue may not materialize, 17 00:00:58,560 --> 00:01:00,880 Speaker 3: even though they said it could be too to five billion, 18 00:01:01,440 --> 00:01:04,960 Speaker 3: but the guide was almost de risk that they didn't 19 00:01:05,000 --> 00:01:07,840 Speaker 3: include any of that. So from that perspective, it's not 20 00:01:08,000 --> 00:01:10,040 Speaker 3: that big of a deal, and I think the stock 21 00:01:10,120 --> 00:01:13,759 Speaker 3: reaction validates that. With that being said, they also said 22 00:01:13,800 --> 00:01:18,559 Speaker 3: that the China GPU market is almost fifty billion dollar 23 00:01:18,600 --> 00:01:22,160 Speaker 3: addressable market and it's growing at almost fifty percent plus 24 00:01:22,200 --> 00:01:25,520 Speaker 3: growth rate. So when you factor in, you know, the 25 00:01:25,640 --> 00:01:29,400 Speaker 3: multi year investment cycle we are in, and not being 26 00:01:29,440 --> 00:01:33,080 Speaker 3: able to sell into China will be a big kind 27 00:01:33,080 --> 00:01:36,160 Speaker 3: of factor in terms of if it continues, if it continues, 28 00:01:36,240 --> 00:01:39,320 Speaker 3: and look, I think when I look at the biggest 29 00:01:39,400 --> 00:01:43,320 Speaker 3: large ANDREID model companies, it's either in the US or 30 00:01:43,360 --> 00:01:46,679 Speaker 3: in China, and those are the companies that need the 31 00:01:46,720 --> 00:01:50,280 Speaker 3: Invidia chips for training their models. And so from that perspective, 32 00:01:50,640 --> 00:01:53,960 Speaker 3: once they move away from Invidia, they're not coming back. 33 00:01:55,600 --> 00:01:57,880 Speaker 4: Isn't this just a political football? And at some point 34 00:01:57,920 --> 00:02:01,480 Speaker 4: President Trump and You're going to get together somewhere hashing 35 00:02:01,520 --> 00:02:05,760 Speaker 4: all this out, including chips and TikTok and all that stuff. 36 00:02:05,800 --> 00:02:09,480 Speaker 3: It sounds like Nvidia has been caught in that crosshairs 37 00:02:09,960 --> 00:02:13,600 Speaker 3: when it comes to the US China deal. And clearly 38 00:02:14,360 --> 00:02:17,920 Speaker 3: there is a lot of sensitivity around the use of 39 00:02:17,960 --> 00:02:21,520 Speaker 3: their chips when it comes to you know, the data 40 00:02:21,680 --> 00:02:26,920 Speaker 3: and how important it is for countries in terms of 41 00:02:27,040 --> 00:02:30,560 Speaker 3: just how they're thinking through their AI strategy. So with 42 00:02:30,680 --> 00:02:33,720 Speaker 3: that being said, look, I don't think there is an 43 00:02:33,840 --> 00:02:37,240 Speaker 3: easy resolution here when it comes to the use of 44 00:02:38,160 --> 00:02:42,280 Speaker 3: Nvidia long term for a country like China where clearly 45 00:02:42,360 --> 00:02:45,120 Speaker 3: there are tensions, and I don't think even if there 46 00:02:45,160 --> 00:02:49,639 Speaker 3: is a deal, the sensitivity around the data is kind 47 00:02:49,639 --> 00:02:51,640 Speaker 3: of going back to where it was, you know, a 48 00:02:51,680 --> 00:02:54,280 Speaker 3: few years back. That's why we have the TikTok deal 49 00:02:54,800 --> 00:02:57,240 Speaker 3: and you know, what we are going through in terms 50 00:02:57,240 --> 00:03:01,040 Speaker 3: of by edance having to give up ownership is because 51 00:03:01,520 --> 00:03:05,560 Speaker 3: clearly the US doesn't want, you know, the data of 52 00:03:05,760 --> 00:03:09,840 Speaker 3: the users to be stored in China or be accessible 53 00:03:09,880 --> 00:03:12,200 Speaker 3: in some ways. So from that perspective, I think the 54 00:03:12,320 --> 00:03:15,360 Speaker 3: data sensitivity is big, and chips are a big part 55 00:03:15,360 --> 00:03:15,680 Speaker 3: of that. 56 00:03:15,840 --> 00:03:17,639 Speaker 2: I'm glad you brought up TikTok, and since we have 57 00:03:17,720 --> 00:03:20,239 Speaker 2: you here, I wanted to ask you about that. More 58 00:03:20,520 --> 00:03:23,400 Speaker 2: details are now emerging. It looks like there may be 59 00:03:23,440 --> 00:03:27,280 Speaker 2: a consortium right including Oracle, Silver Ac and recent Horowitz 60 00:03:27,520 --> 00:03:31,400 Speaker 2: that may take over the US operations. But might there 61 00:03:31,400 --> 00:03:33,480 Speaker 2: be a bitting more here in any talk as to 62 00:03:33,480 --> 00:03:35,920 Speaker 2: how much they're valuing this company. 63 00:03:36,360 --> 00:03:40,640 Speaker 3: So when we did evaluation a few months back, because 64 00:03:40,720 --> 00:03:42,560 Speaker 3: this has been in the news, you know, for quite 65 00:03:42,600 --> 00:03:47,080 Speaker 3: a while, we thought a good benchmark would be companies 66 00:03:47,680 --> 00:03:53,040 Speaker 3: like Xai, Snapchat, Pinterest, Reddit, and so from that perspective, 67 00:03:53,120 --> 00:03:56,560 Speaker 3: you know, TikTok Us assets will be valued at somewhere 68 00:03:56,560 --> 00:04:01,520 Speaker 3: between forty two fifty billion. In fact, xas last valuation 69 00:04:01,680 --> 00:04:06,800 Speaker 3: before you know Xai and ex merged the Twitter portion 70 00:04:06,920 --> 00:04:10,080 Speaker 3: of it was valued at around thirty three billion, So 71 00:04:10,440 --> 00:04:13,880 Speaker 3: from that perspective, it would be somewhere in that vicinity. 72 00:04:14,440 --> 00:04:19,200 Speaker 3: But with that being said, you know, given the geopolitical 73 00:04:19,400 --> 00:04:23,320 Speaker 3: aspects involved in this deal, Oracle seems to be the 74 00:04:23,320 --> 00:04:27,000 Speaker 3: one entity that will likely be involved in buying the 75 00:04:27,040 --> 00:04:31,000 Speaker 3: assets because it's running the TikTok back in infrastructure right now, 76 00:04:31,040 --> 00:04:34,240 Speaker 3: So I can't imagine this deal happening without Oracle. The 77 00:04:34,279 --> 00:04:39,359 Speaker 3: private equity players are silver Lake and Clearly and recent 78 00:04:39,400 --> 00:04:42,600 Speaker 3: Horowitz and look, I mean, this would be among their 79 00:04:42,640 --> 00:04:46,000 Speaker 3: biggest deals. Even if you think about that forty to 80 00:04:46,000 --> 00:04:50,560 Speaker 3: fifty billion sort of transaction value, it will be quite huge. 81 00:04:50,600 --> 00:04:54,400 Speaker 3: So I do think, you know, it's a valuable asset. 82 00:04:54,560 --> 00:04:59,120 Speaker 3: But because of the geopolitical nature of this, there may 83 00:04:59,160 --> 00:05:02,320 Speaker 3: not be a an entity among the Max seven players 84 00:05:02,320 --> 00:05:03,600 Speaker 3: that would try and bid for. 85 00:05:03,839 --> 00:05:06,440 Speaker 4: To pick up political football, right ye, yeah, exactly, So, 86 00:05:06,720 --> 00:05:08,600 Speaker 4: I mean, but part of a deal. If this thing 87 00:05:08,680 --> 00:05:11,640 Speaker 4: were to be spun out as a separate company, you'd 88 00:05:11,640 --> 00:05:13,440 Speaker 4: have to ask all these little TikTokers out there to 89 00:05:13,920 --> 00:05:15,680 Speaker 4: download a new app and all that kind of stuff 90 00:05:15,880 --> 00:05:19,200 Speaker 4: that perceived to be a potential problem. Or is that not. 91 00:05:19,600 --> 00:05:22,880 Speaker 3: Actually, if you had asked me that question one year back, 92 00:05:22,920 --> 00:05:25,880 Speaker 3: I would have said yes. But now with generative AI, 93 00:05:26,200 --> 00:05:29,599 Speaker 3: a lot of the systems are being rewritten. So when 94 00:05:29,640 --> 00:05:34,400 Speaker 3: I think about TikTok's algorithm advantage, I feel it's somewhat 95 00:05:34,560 --> 00:05:37,240 Speaker 3: offset by the fact that we have got all these 96 00:05:37,279 --> 00:05:42,440 Speaker 3: new generative AI based recommendation tools and new things that 97 00:05:42,480 --> 00:05:46,440 Speaker 3: are out there that companies that are looking to develop 98 00:05:46,560 --> 00:05:50,680 Speaker 3: new AI apps are doing that natively using lllms. So 99 00:05:50,960 --> 00:05:54,400 Speaker 3: if somebody was to rewrite the algorithm, they could do 100 00:05:54,520 --> 00:05:57,320 Speaker 3: that now with all the LLLM tools that are available. 101 00:05:57,440 --> 00:05:59,440 Speaker 3: That wasn't the case one or two years back, when 102 00:05:59,440 --> 00:06:03,240 Speaker 3: TikTok really had an advantage with their algorithm. I think 103 00:06:03,279 --> 00:06:04,719 Speaker 3: that's been somewhat offset. 104 00:06:05,360 --> 00:06:06,680 Speaker 2: I'm a little confused. I don't know if you have 105 00:06:06,680 --> 00:06:09,799 Speaker 2: any clarity on this, But say you're an influencer. Influencer 106 00:06:09,800 --> 00:06:11,640 Speaker 2: who gets a lot of income from TikTok. Right, a 107 00:06:11,680 --> 00:06:14,400 Speaker 2: lot of people do. If you have to download the 108 00:06:14,440 --> 00:06:16,360 Speaker 2: new app, do all of your followers come along too? 109 00:06:16,440 --> 00:06:19,520 Speaker 2: Is it just basically your your account but on a 110 00:06:19,520 --> 00:06:19,920 Speaker 2: new app. 111 00:06:19,920 --> 00:06:23,000 Speaker 3: In essence, that's true, and you get all the social graphs. 112 00:06:23,040 --> 00:06:26,599 Speaker 3: It's just the recommendation algorithm changes. And guess what. Google 113 00:06:26,760 --> 00:06:31,600 Speaker 3: Search changes their algorithm so many times in a year. 114 00:06:31,760 --> 00:06:35,160 Speaker 3: They change their algorithm a lot, So what's the big 115 00:06:35,200 --> 00:06:38,560 Speaker 3: deal if the algorithm changes, Look, it will impact the 116 00:06:38,640 --> 00:06:41,760 Speaker 3: creators and how they're used to monetizing it. Wants a 117 00:06:41,800 --> 00:06:46,400 Speaker 3: recommendation algorithm changes, but meta has changed it. Google Search 118 00:06:46,520 --> 00:06:49,120 Speaker 3: changes it, So I don't think it will be that 119 00:06:49,240 --> 00:06:51,160 Speaker 3: big of a deal. And that's why I think they 120 00:06:51,200 --> 00:06:54,240 Speaker 3: are going in that direction where either they license the 121 00:06:54,360 --> 00:06:57,880 Speaker 3: algorithm from by Dance or they rewrite their own algorithm, 122 00:06:57,880 --> 00:07:00,000 Speaker 3: and I think both should be acceptable solutions. 123 00:07:00,040 --> 00:07:02,840 Speaker 4: All right, here's the one I have to do. Every 124 00:07:02,839 --> 00:07:05,919 Speaker 4: time I see it, My AI is going to kill Google. 125 00:07:06,600 --> 00:07:08,520 Speaker 4: I'm not clicking on the links, Dude. If I put 126 00:07:08,520 --> 00:07:11,120 Speaker 4: in a search query into Google, Google AI serves me 127 00:07:11,240 --> 00:07:14,240 Speaker 4: up exactly what I want. I don't have to click. 128 00:07:15,240 --> 00:07:17,040 Speaker 4: How's that changing their model? I'm not clicking. 129 00:07:17,520 --> 00:07:21,480 Speaker 3: So you're right, the ten blue links has definitely changed. 130 00:07:21,720 --> 00:07:25,840 Speaker 3: So the relevance of maybe in addition to AI overviews, 131 00:07:25,880 --> 00:07:29,440 Speaker 3: the top two links has increased. And so because generative 132 00:07:29,480 --> 00:07:32,200 Speaker 3: AI drives more engagement that you are going to ask 133 00:07:32,240 --> 00:07:35,440 Speaker 3: a follow up question in addition to your first query. 134 00:07:35,720 --> 00:07:38,720 Speaker 3: So instead of showing you ten blue links at once, 135 00:07:39,000 --> 00:07:41,440 Speaker 3: they'll show you two blue links in the first one, 136 00:07:41,720 --> 00:07:44,040 Speaker 3: two blue links in the follow up query. And even 137 00:07:44,080 --> 00:07:47,640 Speaker 3: though you are interacting with the Google page a lot 138 00:07:47,680 --> 00:07:50,960 Speaker 3: more than going to the publisher website, they will show 139 00:07:51,000 --> 00:07:53,640 Speaker 3: you the top two links and charge more for those 140 00:07:53,720 --> 00:07:57,560 Speaker 3: links to the advertisers. So clearly the model is changing 141 00:07:57,640 --> 00:08:00,360 Speaker 3: and the algorithm is changing, but they seem to be adopting. 142 00:08:00,480 --> 00:08:01,320 Speaker 5: Go stay with us. 143 00:08:01,440 --> 00:08:03,760 Speaker 4: More from Bloomberg Intelligence coming up after this. 144 00:08:07,440 --> 00:08:11,120 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 145 00:08:11,200 --> 00:08:14,280 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay and Android 146 00:08:14,320 --> 00:08:17,600 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 147 00:08:17,680 --> 00:08:21,160 Speaker 1: you get your podcasts, or watch us live on YouTube. 148 00:08:21,440 --> 00:08:23,080 Speaker 4: We're still looking at some earnings, even though it is 149 00:08:23,120 --> 00:08:24,880 Speaker 4: a FED day. General Mills is one of them. I 150 00:08:24,920 --> 00:08:27,600 Speaker 4: put out the Bloomberg Intelligence research, which is awesome. Now 151 00:08:27,640 --> 00:08:30,320 Speaker 4: I'm going down this rabbit hole where you can get 152 00:08:30,440 --> 00:08:33,120 Speaker 4: the earnings model for all these companies that the Bloomberg 153 00:08:33,120 --> 00:08:37,120 Speaker 4: Intelligence and also put together right there on the terminal. 154 00:08:37,120 --> 00:08:39,920 Speaker 4: I'm going down this rabbit hole. I'm changing scenarios and 155 00:08:40,000 --> 00:08:41,840 Speaker 4: changing margins and all this kind of stuff to see 156 00:08:41,840 --> 00:08:44,320 Speaker 4: how the earnings are. So let's get back to it though, 157 00:08:44,400 --> 00:08:47,040 Speaker 4: Jano Roseide opinion. She covers a lot of these consumer 158 00:08:47,040 --> 00:08:49,760 Speaker 4: stocks for Bloomberg Intelligence. Yan I talked to us about 159 00:08:50,040 --> 00:08:52,800 Speaker 4: General Mills here. How were their earnings recently? 160 00:08:53,800 --> 00:08:58,000 Speaker 5: They were mainly in line with expectations. 161 00:08:58,080 --> 00:09:02,600 Speaker 6: It wasn't that much of a surprise, but still, you know, 162 00:09:02,679 --> 00:09:05,400 Speaker 6: the stock is a little bit on the south side. 163 00:09:05,440 --> 00:09:09,080 Speaker 6: People expected better news than what they disclosed. 164 00:09:09,240 --> 00:09:12,640 Speaker 2: Yeah, I mean North America sales came under pressure. What 165 00:09:12,800 --> 00:09:13,720 Speaker 2: was the drag there? 166 00:09:14,200 --> 00:09:18,920 Speaker 6: It was mainly on volume. We expected volume declines but 167 00:09:19,040 --> 00:09:22,000 Speaker 6: not to the magnitude that they did. It was down 168 00:09:22,080 --> 00:09:27,080 Speaker 6: four percent on organic on the organic part, so obviously 169 00:09:27,120 --> 00:09:31,560 Speaker 6: consumers are still trading down. They are mentioning that, you know, 170 00:09:31,640 --> 00:09:36,600 Speaker 6: about eight eight brands of theirs. It was positive, but 171 00:09:36,679 --> 00:09:39,960 Speaker 6: it's still it wasn't enough for the whole segment two 172 00:09:40,040 --> 00:09:41,000 Speaker 6: to pull through what. 173 00:09:41,000 --> 00:09:43,120 Speaker 4: Are they doing or what are they saying about tariffs 174 00:09:43,160 --> 00:09:46,280 Speaker 4: and the impact on their costs versus maybe what they're 175 00:09:46,280 --> 00:09:48,160 Speaker 4: trying to pass along to customers. 176 00:09:48,440 --> 00:09:51,800 Speaker 6: So they are upsetting some of the costs with cost 177 00:09:51,840 --> 00:09:55,240 Speaker 6: savings it's usually going to be. They expected to be 178 00:09:55,240 --> 00:09:58,600 Speaker 6: about one to two percent of cogs this year, which 179 00:09:58,640 --> 00:10:01,360 Speaker 6: is a little bit lower than and for example, Campbell's 180 00:10:02,000 --> 00:10:04,040 Speaker 6: expected they expected around four percent. 181 00:10:04,200 --> 00:10:09,319 Speaker 5: So you know, they're not they're they do not want 182 00:10:09,360 --> 00:10:10,680 Speaker 5: to raise prices. 183 00:10:10,720 --> 00:10:13,640 Speaker 6: They want to be competitive because obviously volume growth is 184 00:10:13,679 --> 00:10:14,400 Speaker 6: not happening. 185 00:10:14,480 --> 00:10:17,520 Speaker 2: So yeah, I mean, they're getting competition from more folks. 186 00:10:17,720 --> 00:10:20,240 Speaker 2: I mean, on the one hand, they're they're benefiting from 187 00:10:20,280 --> 00:10:22,160 Speaker 2: the fact that more people are eating at home, right, 188 00:10:22,440 --> 00:10:24,440 Speaker 2: but yet when we're going to the supermarket, more people 189 00:10:24,440 --> 00:10:26,360 Speaker 2: are choosing those private label brands. 190 00:10:26,480 --> 00:10:27,840 Speaker 5: Correct, So do they do they talk. 191 00:10:27,720 --> 00:10:29,600 Speaker 2: About that at all on the earnings call, And what's 192 00:10:29,760 --> 00:10:31,600 Speaker 2: their sort of you know, plan of attack there? 193 00:10:31,920 --> 00:10:36,480 Speaker 6: Yeah, So they're increasing marketing, They're they're hoping for innovation. 194 00:10:37,120 --> 00:10:37,240 Speaker 4: Uh. 195 00:10:37,440 --> 00:10:41,200 Speaker 6: They mentioned that twenty five percent of sales growth will 196 00:10:41,200 --> 00:10:44,560 Speaker 6: come in North America retail will probably come from innovation 197 00:10:44,720 --> 00:10:49,000 Speaker 6: this year. And this is what all everybody's trying to 198 00:10:49,040 --> 00:10:51,559 Speaker 6: get to the problem is. And that was mentioned on 199 00:10:51,600 --> 00:10:54,640 Speaker 6: the call as well, was that even the price increases 200 00:10:54,679 --> 00:10:57,080 Speaker 6: are not as significant as it used to be, they're 201 00:10:57,160 --> 00:11:01,280 Speaker 6: still high. So on a on a in a basket size, 202 00:11:01,640 --> 00:11:03,679 Speaker 6: you're still paying a lot more than the used to 203 00:11:03,760 --> 00:11:04,480 Speaker 6: two years ago. 204 00:11:05,120 --> 00:11:08,400 Speaker 4: Talk to us about store brands versus kind of the 205 00:11:08,400 --> 00:11:10,280 Speaker 4: the brands we all grew up with. Here, tell us 206 00:11:10,320 --> 00:11:12,640 Speaker 4: how that's changed over time. Our store brands are becoming 207 00:11:12,640 --> 00:11:15,400 Speaker 4: a bigger, bigger part of the average cart. 208 00:11:15,920 --> 00:11:20,280 Speaker 6: Yes, well, retailers are investing more on their private label. 209 00:11:20,840 --> 00:11:23,360 Speaker 6: It allows them to bring people into the store. Some 210 00:11:23,440 --> 00:11:24,520 Speaker 6: of the brands. 211 00:11:24,400 --> 00:11:28,160 Speaker 5: Are have a cult following. I will say, hello, Costco. 212 00:11:28,320 --> 00:11:32,720 Speaker 6: So exactly, so people are going to the store to 213 00:11:32,840 --> 00:11:37,200 Speaker 6: buy that particular brand. They're more profitable than national brands, 214 00:11:37,360 --> 00:11:43,719 Speaker 6: so obviously they're still incentive for retailers to deploy some 215 00:11:43,760 --> 00:11:45,000 Speaker 6: of that some of their own brand. 216 00:11:45,000 --> 00:11:48,120 Speaker 2: I think some people think it cheek to buy private label, right, Well, 217 00:11:48,520 --> 00:11:50,600 Speaker 2: we're at like a badge of Honor's certainly. 218 00:11:51,720 --> 00:11:53,679 Speaker 4: I was shocked at the price differential. 219 00:11:53,720 --> 00:11:55,960 Speaker 2: Yeah, because they have that pricing power right These stores 220 00:11:56,160 --> 00:11:58,360 Speaker 2: to you know, make their products a lot more attractive, 221 00:11:58,400 --> 00:12:01,800 Speaker 2: really quick, blue Buffalo, it's their food. I was surprised 222 00:12:01,800 --> 00:12:04,200 Speaker 2: to see that that that was not a leader for them. 223 00:12:04,559 --> 00:12:08,440 Speaker 6: Yeah, so Wilderness was not is not doing as well 224 00:12:08,480 --> 00:12:11,920 Speaker 6: as they are hoping. Dog food in general has been 225 00:12:12,120 --> 00:12:15,840 Speaker 6: ahead wind, not only for them but also for the 226 00:12:15,920 --> 00:12:22,400 Speaker 6: overall industry. Cat food seems to be the leading indicator here, 227 00:12:22,760 --> 00:12:23,920 Speaker 6: which is surprising. 228 00:12:24,400 --> 00:12:26,679 Speaker 2: But cat food is outpacing dog food. 229 00:12:26,840 --> 00:12:29,199 Speaker 5: Yes, correct, We have seen this for the past year. 230 00:12:30,800 --> 00:12:31,360 Speaker 3: Going on. 231 00:12:33,000 --> 00:12:34,160 Speaker 2: John Tucker, how to chime. 232 00:12:36,320 --> 00:12:36,560 Speaker 4: Food. 233 00:12:36,720 --> 00:12:40,200 Speaker 6: Well, there seems to be a growth in the cat 234 00:12:40,240 --> 00:12:42,040 Speaker 6: population more than the dog population. 235 00:12:42,280 --> 00:12:43,080 Speaker 4: Wow. Interesting? 236 00:12:43,440 --> 00:12:44,840 Speaker 3: What have we had? 237 00:12:44,880 --> 00:12:47,800 Speaker 4: A good retail sales number yesterday, better than expected. Are 238 00:12:47,840 --> 00:12:50,080 Speaker 4: your companies the consumer protus companies? What are they saying 239 00:12:50,080 --> 00:12:51,640 Speaker 4: about the consumer? Yeah? 240 00:12:51,800 --> 00:12:56,319 Speaker 6: Like I said, they're looking for value. They're still seeing 241 00:12:56,320 --> 00:12:59,760 Speaker 6: their budget as a whole rather than the price increase 242 00:12:59,880 --> 00:13:04,920 Speaker 6: or decrease. They're looking for price cuts wherever they can, 243 00:13:05,000 --> 00:13:07,000 Speaker 6: and they're willing to trade down for it. 244 00:13:07,040 --> 00:13:10,240 Speaker 4: Stay with us more from Bloomberg Intelligence coming up after this. 245 00:13:13,640 --> 00:13:17,320 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 246 00:13:17,400 --> 00:13:20,800 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 247 00:13:20,880 --> 00:13:23,960 Speaker 1: with the Bloomberg Business App, listen on demand wherever you 248 00:13:24,000 --> 00:13:26,960 Speaker 1: get your podcasts, or watch us live on YouTube. 249 00:13:27,800 --> 00:13:31,800 Speaker 2: More details are emerging now on the US China TikTok deal. 250 00:13:32,280 --> 00:13:34,720 Speaker 2: We know it is an app that nearly half the 251 00:13:34,760 --> 00:13:37,559 Speaker 2: country has one hundred and seventy million Americans. What might 252 00:13:37,600 --> 00:13:39,440 Speaker 2: that deal look like? What are some of the hurdles. 253 00:13:39,640 --> 00:13:43,680 Speaker 2: Let's bring in Matthew schettenhaulm Bloomberg Intelligence media litigation analyst. 254 00:13:44,280 --> 00:13:47,600 Speaker 2: He is joining us from Washington, d C. So Matthew 255 00:13:47,600 --> 00:13:49,319 Speaker 2: just tell us sort of where do things stand right now? 256 00:13:49,320 --> 00:13:51,640 Speaker 2: We know that there might be this consortium that would 257 00:13:51,679 --> 00:13:56,079 Speaker 2: take over the US TikTok, but might there be other 258 00:13:56,120 --> 00:13:56,720 Speaker 2: bidders here? 259 00:13:57,960 --> 00:13:58,240 Speaker 3: Yeah? 260 00:13:58,240 --> 00:14:01,320 Speaker 7: So I think we're finally seeing progus here for the 261 00:14:01,360 --> 00:14:04,040 Speaker 7: first time. As you know that the Congress passed this 262 00:14:04,200 --> 00:14:08,599 Speaker 7: law last year, the Supreme Court upheld it in January. 263 00:14:09,000 --> 00:14:12,360 Speaker 7: It was supposed to take effect and effectively ban TikTok 264 00:14:12,559 --> 00:14:16,920 Speaker 7: on January nineteenth, and President Trump has granted extension after 265 00:14:17,040 --> 00:14:20,800 Speaker 7: extension to prevent that from happening. I think this is 266 00:14:20,840 --> 00:14:24,520 Speaker 7: the first sign of real progress. It sounds like there 267 00:14:24,560 --> 00:14:27,440 Speaker 7: are you know, two or three bidders involved. And the 268 00:14:27,440 --> 00:14:33,920 Speaker 7: potential framework for a deal that potentially could be announced 269 00:14:34,160 --> 00:14:35,360 Speaker 7: as early as tomorrow. 270 00:14:36,040 --> 00:14:38,720 Speaker 4: Well, you know, I think, well, I certainly forgot that 271 00:14:38,920 --> 00:14:40,880 Speaker 4: TikTok passed the law and says, hey, you either got 272 00:14:40,880 --> 00:14:43,280 Speaker 4: to divest this thing or shut it down. I mean, 273 00:14:43,320 --> 00:14:47,840 Speaker 4: Congress is involved here. So whatever deal eventually gets done, 274 00:14:47,880 --> 00:14:50,880 Speaker 4: it has to kind of a huge of those requirements 275 00:14:50,960 --> 00:14:51,800 Speaker 4: by Congress, doesn't. 276 00:14:52,360 --> 00:14:54,760 Speaker 7: Yeah, I mean that's right. This isn't This is not 277 00:14:54,880 --> 00:14:58,000 Speaker 7: the way the law typically works usually, you know, Congress 278 00:14:58,000 --> 00:15:00,000 Speaker 7: passes the law, that law is still on the book 279 00:15:00,000 --> 00:15:03,200 Speaker 7: looks and as of January nineteenth, TikTok is supposed to 280 00:15:03,240 --> 00:15:08,800 Speaker 7: be banned, and yet it's continued to operate because President 281 00:15:08,800 --> 00:15:12,400 Speaker 7: Trump's Department of Justice has sent letters basically saying don't 282 00:15:12,400 --> 00:15:14,920 Speaker 7: worry about it. So that raises the question how much 283 00:15:14,960 --> 00:15:18,240 Speaker 7: is the law going to matter with respect to this deal? 284 00:15:18,720 --> 00:15:23,880 Speaker 7: Because Congress specifically addressed what sort of divestiture should happen 285 00:15:24,560 --> 00:15:27,720 Speaker 7: under this arrangement. One of those terms says that byte 286 00:15:27,840 --> 00:15:31,080 Speaker 7: dance can't control the new entity. I think they can. 287 00:15:31,160 --> 00:15:34,520 Speaker 7: They can address that by keeping Byteedance's interest below twenty 288 00:15:34,600 --> 00:15:38,880 Speaker 7: percent in the new entity. But the second one might 289 00:15:38,920 --> 00:15:42,240 Speaker 7: be trickier, and that goes to the operation of the algorithm, 290 00:15:42,320 --> 00:15:47,720 Speaker 7: which is TikTok's secret sauce. The law that Congress passed 291 00:15:47,920 --> 00:15:53,440 Speaker 7: said that there can be no operational relationship, no cooperation 292 00:15:53,840 --> 00:15:57,680 Speaker 7: between byte Dance and any new entity. And that's going 293 00:15:57,760 --> 00:16:00,640 Speaker 7: to be the really interesting thing to watch as these 294 00:16:00,720 --> 00:16:04,480 Speaker 7: deal terms come out. How are they addressing the algorithm 295 00:16:04,520 --> 00:16:07,680 Speaker 7: going forward and how will that change TikTok as we 296 00:16:07,800 --> 00:16:08,120 Speaker 7: know it? 297 00:16:08,960 --> 00:16:11,120 Speaker 2: And Matthew, one of the stipulations I read is that 298 00:16:11,160 --> 00:16:14,400 Speaker 2: the US government would have a seat on the company's board. 299 00:16:14,560 --> 00:16:17,280 Speaker 2: This is not common, right, I mean this usually see 300 00:16:17,280 --> 00:16:19,720 Speaker 2: this when the government has to come in an emergency situations, 301 00:16:19,720 --> 00:16:22,360 Speaker 2: maybe there's a sponsored bailout like we saw during the 302 00:16:22,400 --> 00:16:24,240 Speaker 2: two thousand and eight financial crisis with some of the 303 00:16:24,240 --> 00:16:25,560 Speaker 2: insurers and the auto companies. 304 00:16:25,800 --> 00:16:27,320 Speaker 5: Do you think if the US. 305 00:16:27,080 --> 00:16:29,200 Speaker 2: Gets a seat on the board, it gets a seat 306 00:16:29,200 --> 00:16:32,120 Speaker 2: on the board, you know, forever. It's not a temporary situation. 307 00:16:33,160 --> 00:16:37,440 Speaker 7: All of this is is sort of unprecedented, so you know, 308 00:16:37,600 --> 00:16:43,200 Speaker 7: it's possible that this is sort of just a temporary solution. 309 00:16:44,320 --> 00:16:47,640 Speaker 7: It's also possible that it lasts longer than that. We're 310 00:16:47,680 --> 00:16:49,880 Speaker 7: sort of making it up as we go here in 311 00:16:50,000 --> 00:16:53,840 Speaker 7: terms of the law, and so it's very difficult to 312 00:16:53,880 --> 00:16:56,640 Speaker 7: say exactly what shape a deal like that takes and 313 00:16:57,000 --> 00:16:59,960 Speaker 7: how long any of it endures. 314 00:17:00,040 --> 00:17:03,480 Speaker 4: So what are next steps here, matt from your perspective. 315 00:17:03,240 --> 00:17:07,720 Speaker 7: Yeah, so yesterday President Trump again issued an extension. The 316 00:17:07,800 --> 00:17:13,760 Speaker 7: law was set to again take effect and effectively ban TikTok. 317 00:17:14,160 --> 00:17:18,280 Speaker 7: His extension extends it through the middle of December, and 318 00:17:18,800 --> 00:17:21,719 Speaker 7: so that gives some breathing room now to make this 319 00:17:21,800 --> 00:17:23,680 Speaker 7: deal happen. Of course, he could just kick it, kick 320 00:17:23,680 --> 00:17:25,960 Speaker 7: it down the road again if the deal doesn't happen. 321 00:17:26,000 --> 00:17:30,320 Speaker 7: So it sounds though, like there are there's real progress 322 00:17:29,960 --> 00:17:33,080 Speaker 7: on a framework for a deal, and so I think 323 00:17:33,119 --> 00:17:36,639 Speaker 7: we should learn more details about it tomorrow and the 324 00:17:36,720 --> 00:17:41,000 Speaker 7: day after and potential for a deal that actually resolves 325 00:17:41,040 --> 00:17:44,960 Speaker 7: this issue and is a genuine divestiture from byteedance as 326 00:17:45,000 --> 00:17:47,560 Speaker 7: Congress intended. This may end up actually working out as 327 00:17:47,600 --> 00:17:50,040 Speaker 7: Congress intended it to work at the end of the day. 328 00:17:50,400 --> 00:17:51,959 Speaker 2: Matthew, I think you hit it earlier when you were 329 00:17:51,960 --> 00:17:54,560 Speaker 2: talking about the algorithm being, you know, the special sauce, 330 00:17:54,560 --> 00:17:57,639 Speaker 2: the most lucrative part of any deal. To be clear, 331 00:17:57,880 --> 00:17:59,639 Speaker 2: do we know. I mean, the US would not be 332 00:17:59,800 --> 00:18:02,919 Speaker 2: out right buying this algorithm, may be licensing it at 333 00:18:02,960 --> 00:18:04,160 Speaker 2: the end of the day, right. 334 00:18:04,560 --> 00:18:06,960 Speaker 7: Yeah, that's what it sounds like from some of the 335 00:18:07,040 --> 00:18:10,520 Speaker 7: reporting on the deal. And there's the potential that that 336 00:18:10,640 --> 00:18:15,320 Speaker 7: would be consistent with what Congress intended. What the law 337 00:18:15,520 --> 00:18:21,560 Speaker 7: bars is an operational relationship and cooperation with respect to 338 00:18:21,600 --> 00:18:24,679 Speaker 7: the algorithm. So the work around here may be a 339 00:18:24,840 --> 00:18:29,320 Speaker 7: licensing of the technology and saying the US entity gets 340 00:18:29,320 --> 00:18:32,240 Speaker 7: to do all the work on that algorithm. But it's 341 00:18:32,359 --> 00:18:35,240 Speaker 7: really curious about the details of how that will work 342 00:18:35,359 --> 00:18:38,960 Speaker 7: as a practical matter, whether that's consistent with the law, 343 00:18:39,320 --> 00:18:41,800 Speaker 7: and maybe the biggest question of all, whether anyone's going 344 00:18:41,880 --> 00:18:44,840 Speaker 7: to stand up and insist that the law befollowed. 345 00:18:44,920 --> 00:18:49,600 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 346 00:18:49,800 --> 00:18:53,240 Speaker 1: and anywhere else you get your podcasts. 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