1 00:00:00,120 --> 00:00:06,800 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:09,640 --> 00:00:10,040 Speaker 2: This is the. 3 00:00:10,000 --> 00:00:13,440 Speaker 1: Bloomberg Daybreak Aisia podcast. I'm Doug Krisner. You can join 4 00:00:13,480 --> 00:00:16,239 Speaker 1: Brian Curtis and myself for the stories, making news and 5 00:00:16,320 --> 00:00:19,439 Speaker 1: moving markets in the Apec region. You can subscribe to 6 00:00:19,480 --> 00:00:22,200 Speaker 1: the show anywhere you get your podcast and always on 7 00:00:22,239 --> 00:00:26,080 Speaker 1: Bloomberg Radio, the Bloomberg Terminal, and the Bloomberg Business app. 8 00:00:30,040 --> 00:00:32,080 Speaker 3: And joining us now for some discussion on this is 9 00:00:32,120 --> 00:00:35,680 Speaker 3: Alex Barinka, Bloomberg Tech Reporter. We should add there are 10 00:00:35,680 --> 00:00:39,000 Speaker 3: a number of interesting angles here, not least of which 11 00:00:39,520 --> 00:00:43,960 Speaker 3: is the conduct versus content arguments of the algorithm, and 12 00:00:44,000 --> 00:00:46,880 Speaker 3: that was something that we just heard there from Mark Ginsburg, 13 00:00:47,360 --> 00:00:51,080 Speaker 3: but also the political angle, the legal angle, and then 14 00:00:51,080 --> 00:00:53,199 Speaker 3: it brings us to what happens in the Senate. So 15 00:00:53,240 --> 00:00:55,880 Speaker 3: we know that the House passed it easily, even though 16 00:00:55,880 --> 00:00:59,680 Speaker 3: Donald Trump expressed reservations. Will that be a big issue 17 00:00:59,680 --> 00:01:01,440 Speaker 3: in this and what are we expecting them? 18 00:01:02,280 --> 00:01:02,320 Speaker 4: It? 19 00:01:02,480 --> 00:01:05,319 Speaker 2: Certainly might. You know, the Senate's been a place where 20 00:01:05,360 --> 00:01:08,920 Speaker 2: some House bills have certainly gone to die, and still 21 00:01:08,959 --> 00:01:13,080 Speaker 2: so far, Senate Majority Leader Chuck Schumer has not yet 22 00:01:13,160 --> 00:01:18,880 Speaker 2: endorsed this bill, even though there are concerns from folks 23 00:01:18,920 --> 00:01:21,760 Speaker 2: on both sides of the aisle, not only about the 24 00:01:21,840 --> 00:01:24,480 Speaker 2: content on TikTok, but as well as kind of the 25 00:01:24,520 --> 00:01:27,760 Speaker 2: fear of Chinese influence. So I will say this is 26 00:01:28,120 --> 00:01:32,160 Speaker 2: the furthest A bill that would limit TikTok has gone. 27 00:01:32,360 --> 00:01:34,560 Speaker 2: This bill is different because it doesn't just call for 28 00:01:34,600 --> 00:01:38,080 Speaker 2: an outright ban. It actually calls for a divestitor, although 29 00:01:38,120 --> 00:01:40,319 Speaker 2: the company says that's in essence a ban. 30 00:01:40,800 --> 00:01:41,880 Speaker 5: So while we've. 31 00:01:41,680 --> 00:01:45,960 Speaker 2: Seen kind of TikTok be stuck in these machinations as 32 00:01:46,000 --> 00:01:49,920 Speaker 2: you kind of ran through them, the America China relationship, 33 00:01:50,120 --> 00:01:54,560 Speaker 2: the fear of kids on social media, the data collection 34 00:01:54,880 --> 00:01:58,760 Speaker 2: question that's been out there for almost years now since 35 00:01:58,800 --> 00:02:02,000 Speaker 2: Trump was president, this is the one that seems to 36 00:02:02,040 --> 00:02:04,800 Speaker 2: at least have the most momentum. And look, it moved 37 00:02:04,840 --> 00:02:08,960 Speaker 2: incredibly quickly from introduction to passing this morning in the 38 00:02:09,040 --> 00:02:11,320 Speaker 2: US in the House of Representatives. 39 00:02:11,480 --> 00:02:14,160 Speaker 1: I'm curious about the lobbying efforts. I was reading a 40 00:02:14,200 --> 00:02:18,079 Speaker 1: story on Bloomberg Alex jeff Yos, who is the mastermind 41 00:02:18,120 --> 00:02:22,440 Speaker 1: behind Susquehanna International. He owns a stake in the parent 42 00:02:22,520 --> 00:02:25,359 Speaker 1: company Byte Dance. I think it's worth around fifteen billion, 43 00:02:25,440 --> 00:02:28,280 Speaker 1: and from what I understand, mister jos has used a 44 00:02:28,320 --> 00:02:31,480 Speaker 1: lot of his wealth nearly forty one billion dollar fortune 45 00:02:31,919 --> 00:02:36,000 Speaker 1: to become the largest donor in the current election cycle. 46 00:02:36,440 --> 00:02:38,640 Speaker 1: I were going to see a lot of money thrown 47 00:02:38,840 --> 00:02:42,600 Speaker 1: at members of the Senate to try to block this 48 00:02:42,800 --> 00:02:44,040 Speaker 1: bill from becoming law. 49 00:02:44,800 --> 00:02:47,320 Speaker 2: We certainly might, and we already have byte Dance, the 50 00:02:47,360 --> 00:02:50,799 Speaker 2: parent company of TikTok, which is the company under which 51 00:02:50,840 --> 00:02:54,840 Speaker 2: they register their lobbyists, spent a record eight point seven 52 00:02:55,040 --> 00:02:58,600 Speaker 2: million dollars on federal lobbying last year alone. They have 53 00:02:58,720 --> 00:03:02,800 Speaker 2: about four dozen laws who work for them trying to 54 00:03:02,880 --> 00:03:06,640 Speaker 2: kind of sway opinion in DC. But it seems like 55 00:03:06,680 --> 00:03:08,800 Speaker 2: some of those folks might have been surprised by this. 56 00:03:09,280 --> 00:03:12,320 Speaker 2: Yaus in particular is a very big name, the one 57 00:03:12,320 --> 00:03:16,239 Speaker 2: that often operates behind the scenes with that Susquehanna Steak. 58 00:03:17,000 --> 00:03:20,960 Speaker 2: He has reportedly been meeting with Trump, who if you've 59 00:03:20,960 --> 00:03:24,320 Speaker 2: been following the headlines on all this this this week. 60 00:03:24,919 --> 00:03:27,800 Speaker 2: President Trump, when he was in office, was the first 61 00:03:27,800 --> 00:03:30,360 Speaker 2: to write the executive order to potentially ban TikTok, but 62 00:03:30,800 --> 00:03:33,320 Speaker 2: in the last few days he said, wait, TikTok should 63 00:03:33,360 --> 00:03:35,960 Speaker 2: actually stay because banning it would give Meta and Mark 64 00:03:36,040 --> 00:03:40,040 Speaker 2: Zuckerberg too much power. So that kind of lobbying machine 65 00:03:40,200 --> 00:03:44,840 Speaker 2: has been working behind the scenes, but it's clear maybe 66 00:03:44,880 --> 00:03:48,480 Speaker 2: that something in that that that big kind of horde 67 00:03:48,520 --> 00:03:51,600 Speaker 2: of dollars that's gone towards lobbying is not quite hitting 68 00:03:52,000 --> 00:03:54,839 Speaker 2: with the voices in d C. Just given how kind 69 00:03:54,840 --> 00:03:56,120 Speaker 2: of quickly this has gone. 70 00:03:55,960 --> 00:03:59,320 Speaker 3: Through the House, and even if it does pass, we 71 00:03:59,440 --> 00:04:02,160 Speaker 3: understand that there will be legal challenges that might last 72 00:04:02,160 --> 00:04:05,160 Speaker 3: for years. I'm curious, what are you hearing about what 73 00:04:05,160 --> 00:04:06,440 Speaker 3: would happen in the meantime. 74 00:04:07,160 --> 00:04:09,920 Speaker 2: Absolutely, we broke the news earlier this week that TikTok 75 00:04:10,120 --> 00:04:12,280 Speaker 2: sees a divestitor as the last resort, that they will 76 00:04:12,280 --> 00:04:18,279 Speaker 2: exhaust every single legal challenge possible. That was confirmed by 77 00:04:18,320 --> 00:04:21,640 Speaker 2: a statement from TikTok CEO in the last hour that 78 00:04:21,680 --> 00:04:25,040 Speaker 2: they posted on social media saying that we will continue 79 00:04:25,080 --> 00:04:29,600 Speaker 2: to do everything we can, including exercise our legal rights. 80 00:04:29,800 --> 00:04:32,560 Speaker 2: So we could see kind of a pretty long drawn 81 00:04:32,560 --> 00:04:36,240 Speaker 2: out battle that they might take here. We saw a 82 00:04:36,320 --> 00:04:39,600 Speaker 2: little bit of flavor of that in Montana. The governor 83 00:04:39,640 --> 00:04:43,560 Speaker 2: of Montana signed a bill into law in that state 84 00:04:43,640 --> 00:04:47,440 Speaker 2: to ban TikTok. There was a suit there that ended 85 00:04:47,480 --> 00:04:51,200 Speaker 2: that bill ended up being kind of abandoned after creators 86 00:04:51,400 --> 00:04:53,240 Speaker 2: on TikTok actually brought a suit. 87 00:04:53,360 --> 00:04:56,279 Speaker 5: So that might just be one flavor. 88 00:04:55,920 --> 00:04:58,599 Speaker 2: Of what we see here. We already see TikTok talking 89 00:04:58,640 --> 00:05:01,680 Speaker 2: a lot about constitutional rights. We've seen them bring up 90 00:05:01,720 --> 00:05:05,080 Speaker 2: the First Amendment argument, and I'm sure as this kind 91 00:05:05,160 --> 00:05:08,479 Speaker 2: of continues, if this does get signed into law, there 92 00:05:08,480 --> 00:05:12,839 Speaker 2: will be several additional legal venues that I in this 93 00:05:12,960 --> 00:05:16,160 Speaker 2: moment am not even imagining that they take because they 94 00:05:16,200 --> 00:05:19,440 Speaker 2: see this as such an urgent fight that they do 95 00:05:19,480 --> 00:05:22,400 Speaker 2: not want to lose or end up in a devastitor situation. 96 00:05:23,760 --> 00:05:27,040 Speaker 1: You know, you mentioned the Trump executive order, the attempt 97 00:05:27,160 --> 00:05:32,440 Speaker 1: at that during his administration. I remember the story around 98 00:05:32,480 --> 00:05:36,760 Speaker 1: Oracle and Larry Ellison trying to maybe weigh in if 99 00:05:36,800 --> 00:05:38,960 Speaker 1: there was some type of forced sale. But from what 100 00:05:39,000 --> 00:05:42,920 Speaker 1: I understand, Oracle did become a beneficiary in that, I 101 00:05:43,040 --> 00:05:46,680 Speaker 1: think it won a contract to host the video library. 102 00:05:46,800 --> 00:05:50,360 Speaker 1: Is that not right that Oracle is using its kind 103 00:05:50,360 --> 00:05:52,839 Speaker 1: of data service to host a lot of the content 104 00:05:52,920 --> 00:05:54,599 Speaker 1: that TikTok produces. 105 00:05:55,080 --> 00:05:58,480 Speaker 2: They are Oracle's been kind of the kind of American 106 00:05:58,640 --> 00:06:01,960 Speaker 2: partner that TikTok's lift up Oracle's been working with TikTok 107 00:06:01,960 --> 00:06:05,160 Speaker 2: on something that TikTok calls Project Texas, which is their 108 00:06:05,400 --> 00:06:08,400 Speaker 2: solution that they've spent more than a billion dollars on 109 00:06:08,600 --> 00:06:12,400 Speaker 2: to kind of allay those national security concerns. They are 110 00:06:12,440 --> 00:06:17,080 Speaker 2: hosting US users data on TikTok data centers on excuse men, 111 00:06:17,120 --> 00:06:20,600 Speaker 2: Oracle data centers. They are allowing Oracle to kind of 112 00:06:20,680 --> 00:06:26,200 Speaker 2: audit source code and look at algorithms and content moderation policies. 113 00:06:26,440 --> 00:06:30,040 Speaker 2: They're basically saying, look, we have this American homegrown partner 114 00:06:30,080 --> 00:06:34,000 Speaker 2: here who is kind of standing in to protect the data, 115 00:06:34,040 --> 00:06:37,240 Speaker 2: and Oracle is in this business relationship with them. I 116 00:06:37,279 --> 00:06:39,840 Speaker 2: will note, though, there has been something interesting as all. 117 00:06:39,880 --> 00:06:42,880 Speaker 2: As this has played out very publicly in Washington, d C, 118 00:06:43,440 --> 00:06:46,200 Speaker 2: Oracle's voice has been very silent. We have not heard 119 00:06:46,240 --> 00:06:48,480 Speaker 2: from them. So for the moment, they seem to be 120 00:06:48,560 --> 00:06:49,479 Speaker 2: a business partner. 121 00:06:49,520 --> 00:06:49,839 Speaker 6: Only. 122 00:06:50,400 --> 00:06:53,840 Speaker 3: Yeah, it's not big enough anymore. I mean, TikTok has 123 00:06:53,880 --> 00:06:56,080 Speaker 3: just gotten so big. Who could afford to buy it? 124 00:06:56,160 --> 00:06:59,160 Speaker 3: I mean, you are talking about a monster now that 125 00:06:59,520 --> 00:07:03,039 Speaker 3: Oracle I seriously doubt would be big enough. It would 126 00:07:03,080 --> 00:07:05,040 Speaker 3: have to be one of the you know, the biggest 127 00:07:05,080 --> 00:07:08,039 Speaker 3: companies in America that could afford to buy a company 128 00:07:08,080 --> 00:07:10,960 Speaker 3: like TikTok now that has how many one hundred and 129 00:07:10,960 --> 00:07:12,240 Speaker 3: fifty million viewers? 130 00:07:12,440 --> 00:07:15,280 Speaker 2: It's getting kind of one hundred and seventy million every month, 131 00:07:15,400 --> 00:07:18,040 Speaker 2: and that is certainly kind of what the shortlist would 132 00:07:18,040 --> 00:07:20,240 Speaker 2: be if if this would to be end up in 133 00:07:20,240 --> 00:07:24,000 Speaker 2: a sale to another company. But you'll remember the Biden 134 00:07:24,040 --> 00:07:29,320 Speaker 2: administration has a FTC and anti trust regulator who's been very, 135 00:07:29,440 --> 00:07:32,160 Speaker 2: very tough on big tech. So when you start going 136 00:07:32,160 --> 00:07:34,480 Speaker 2: down the list of names, it gets a little tough 137 00:07:34,520 --> 00:07:36,760 Speaker 2: when you think of meta or alphabet like who would 138 00:07:36,760 --> 00:07:39,160 Speaker 2: this end with that would keep regulators happy? 139 00:07:39,360 --> 00:07:41,280 Speaker 1: And the other thing to apply a little bit of 140 00:07:41,280 --> 00:07:44,040 Speaker 1: context that we're in an election year and it's not 141 00:07:44,120 --> 00:07:46,840 Speaker 1: a done deal yet, and if there is a second 142 00:07:46,840 --> 00:07:48,880 Speaker 1: Trump administration what happens then. 143 00:07:50,320 --> 00:07:53,080 Speaker 2: It's an interesting question, particularly now that Trump has kind 144 00:07:53,080 --> 00:07:55,720 Speaker 2: of flip flopped. Even though Republicans have been a lot 145 00:07:55,720 --> 00:07:58,600 Speaker 2: of the agitators against TikTok all of these days, I 146 00:07:58,640 --> 00:08:01,560 Speaker 2: will say the interesting part might actually happen in the 147 00:08:01,640 --> 00:08:05,480 Speaker 2: lead up to the election as well. Young used TikTok users, 148 00:08:05,680 --> 00:08:09,480 Speaker 2: a majority of them are actually against a ban. According 149 00:08:09,520 --> 00:08:13,320 Speaker 2: to a survey late last year from Pew Research. So 150 00:08:13,680 --> 00:08:16,480 Speaker 2: voters might not be super in favor of this if 151 00:08:16,480 --> 00:08:18,280 Speaker 2: they are one of those one hundred and seventy million 152 00:08:18,320 --> 00:08:20,800 Speaker 2: users of TikTok, and when you look at younger users, 153 00:08:20,800 --> 00:08:23,960 Speaker 2: they are the cohort that is most against a TikTok ban. 154 00:08:24,120 --> 00:08:27,160 Speaker 2: So as these senators are sizing up and looking at 155 00:08:27,200 --> 00:08:29,400 Speaker 2: whether or not they vote for this bill, that must 156 00:08:29,400 --> 00:08:32,920 Speaker 2: be something that they consider in terms of November election season. 157 00:08:33,720 --> 00:08:36,439 Speaker 3: Yeah, there's really a lot of just a lot of 158 00:08:36,480 --> 00:08:39,960 Speaker 3: acrimony attached to this President Biden on TikTok or at 159 00:08:40,040 --> 00:08:43,120 Speaker 3: least the reelection campaign, and yet he would. 160 00:08:42,960 --> 00:08:43,600 Speaker 6: Sign the bill. 161 00:08:44,400 --> 00:08:47,000 Speaker 3: It's fair to mention for our listeners, this really isn't 162 00:08:47,120 --> 00:08:51,720 Speaker 3: a ban. It's a forced divestiture. And no American internet 163 00:08:51,800 --> 00:08:53,640 Speaker 3: companies can operate in China. 164 00:08:53,840 --> 00:08:57,360 Speaker 6: So there's that. Thanks to Alex Barinka. This is Bloomberg. 165 00:09:13,640 --> 00:09:16,880 Speaker 1: Joe Doe, who covers metals and mining. He joins us 166 00:09:16,880 --> 00:09:19,000 Speaker 1: from here in New York City. Joe, it's always a pleasure. 167 00:09:19,240 --> 00:09:22,160 Speaker 1: Let's not forget the fact that it's an election year. 168 00:09:22,360 --> 00:09:25,000 Speaker 1: Mister Biden in the past has been very much on 169 00:09:25,040 --> 00:09:27,840 Speaker 1: the side of labor the United steel Workers, as we know, 170 00:09:28,040 --> 00:09:30,520 Speaker 1: are very much involved in this trying to win better 171 00:09:30,600 --> 00:09:33,800 Speaker 1: terms from Nippon. Where are we in this process right now? 172 00:09:35,040 --> 00:09:39,520 Speaker 4: Yeah, it is another step in what seems to be 173 00:09:39,600 --> 00:09:44,920 Speaker 4: already a very long process, right And the steel workers. 174 00:09:46,520 --> 00:09:48,400 Speaker 7: Just had their first meeting with Nippon. 175 00:09:48,120 --> 00:09:51,920 Speaker 4: Steel, which is supposed to be the beginning of talks 176 00:09:52,040 --> 00:09:58,920 Speaker 4: or discussions or maybe eventually outright negotiations as to Nippon 177 00:09:58,960 --> 00:10:01,560 Speaker 4: Steel taking over the LA labor agreement of the steel workers. 178 00:10:02,200 --> 00:10:04,839 Speaker 4: The steel workers themselves can't block this deal, but they 179 00:10:04,840 --> 00:10:07,680 Speaker 4: do hold a lot of political sway. And the political sway, 180 00:10:07,720 --> 00:10:11,600 Speaker 4: of course is, as you said, Joe Biden's support of unions, 181 00:10:11,640 --> 00:10:15,560 Speaker 4: in particular the steel workers. And we get this comment today, 182 00:10:15,840 --> 00:10:19,440 Speaker 4: or we get this reporting today that the President is 183 00:10:19,480 --> 00:10:24,560 Speaker 4: preparing to make a statement that would show that he 184 00:10:24,600 --> 00:10:27,280 Speaker 4: has some concerns about the deal to the Prime Minister 185 00:10:27,360 --> 00:10:27,800 Speaker 4: of Japan. 186 00:10:29,520 --> 00:10:33,079 Speaker 3: I'm curious whether investors really want this deal to go 187 00:10:33,120 --> 00:10:36,240 Speaker 3: through at the moment, given all the scrutiny and a 188 00:10:36,280 --> 00:10:38,719 Speaker 3: lot of the anngs that the centers around it. 189 00:10:39,880 --> 00:10:42,280 Speaker 6: And it's a little surprising. 190 00:10:41,760 --> 00:10:44,280 Speaker 3: I guess that there is this much in the US 191 00:10:44,320 --> 00:10:47,840 Speaker 3: so We've had Japanese companies buying American companies in the past, 192 00:10:47,920 --> 00:10:50,959 Speaker 3: but is the reason that US deal is US steal 193 00:10:51,040 --> 00:10:55,120 Speaker 3: and then it has this long sort of heartland history. 194 00:10:56,040 --> 00:10:56,960 Speaker 7: Yeah, exactly. 195 00:10:57,040 --> 00:11:01,720 Speaker 4: It is a company that everybody knows, even though it 196 00:11:01,760 --> 00:11:05,720 Speaker 4: hasn't been the dominant name that it once was, you know, 197 00:11:05,720 --> 00:11:07,720 Speaker 4: I mean, the last time the United States Steel was 198 00:11:07,760 --> 00:11:10,679 Speaker 4: the largest steelmaker in the United States was you know, 199 00:11:10,760 --> 00:11:13,600 Speaker 4: around the year two thousand and the last time it was. 200 00:11:13,600 --> 00:11:15,920 Speaker 7: One of the most important companies in the world. 201 00:11:16,000 --> 00:11:20,760 Speaker 4: Was back when you know, people's parents were either young 202 00:11:21,080 --> 00:11:24,439 Speaker 4: people or just starting out in college, depending on their age. Like, 203 00:11:24,840 --> 00:11:28,720 Speaker 4: this is a name that everybody knows, but probably people 204 00:11:28,800 --> 00:11:32,959 Speaker 4: haven't followed in a very long time. And that's why 205 00:11:32,960 --> 00:11:35,240 Speaker 4: we're here, right. It still stands for something in the 206 00:11:35,280 --> 00:11:39,360 Speaker 4: eyes of readers. I don't know if in the eyes 207 00:11:39,360 --> 00:11:43,400 Speaker 4: of investors it stands for more than a takeover target, right, 208 00:11:43,600 --> 00:11:46,800 Speaker 4: And that's really how we have this kind of weird 209 00:11:46,840 --> 00:11:50,360 Speaker 4: dichotomy of iconic name. But it's also being bought for 210 00:11:50,400 --> 00:11:52,600 Speaker 4: a reason. It went through a lot of trouble in 211 00:11:52,640 --> 00:11:55,280 Speaker 4: the twenty tens. At one point, many analysts thought this 212 00:11:55,320 --> 00:11:58,240 Speaker 4: company might go bankrupt they made some good moves. It 213 00:11:58,320 --> 00:12:01,280 Speaker 4: made them attractive and that's where they are today. And 214 00:12:01,480 --> 00:12:03,920 Speaker 4: it just so happens that a Japanese buyer wants to 215 00:12:04,360 --> 00:12:06,920 Speaker 4: get in on the deal and made an incredible offer, right, 216 00:12:06,960 --> 00:12:09,120 Speaker 4: I mean, they offered fifty five dollars a share for 217 00:12:09,160 --> 00:12:12,840 Speaker 4: einteen point one billion dollars. And all of that leads 218 00:12:12,880 --> 00:12:18,080 Speaker 4: to one wild politics story because it's twenty twenty four. 219 00:12:18,520 --> 00:12:21,560 Speaker 1: So we've talked about the union and the impending election, 220 00:12:21,679 --> 00:12:24,640 Speaker 1: but there's also a Scifius review here and the grounds 221 00:12:24,640 --> 00:12:27,200 Speaker 1: of national security. Is there a case to be made 222 00:12:27,200 --> 00:12:29,720 Speaker 1: that this deal needs to be blocked under kind of 223 00:12:29,800 --> 00:12:31,679 Speaker 1: national security concerns? 224 00:12:32,120 --> 00:12:35,319 Speaker 4: Well, ultimately it will be up to the various agencies 225 00:12:35,360 --> 00:12:37,559 Speaker 4: within the executive branch to make a decision if they 226 00:12:37,640 --> 00:12:41,160 Speaker 4: think that's the case. Some of the reporting that my 227 00:12:41,200 --> 00:12:47,079 Speaker 4: colleague Josh Wingrove and I had back not too long 228 00:12:47,120 --> 00:12:52,439 Speaker 4: ago was that the administration had some concerns about connections 229 00:12:52,480 --> 00:12:55,880 Speaker 4: that Nippon Steel has with China. In particular, they have 230 00:12:55,960 --> 00:13:00,400 Speaker 4: nine facilities inside China that produced three point six billion 231 00:13:00,440 --> 00:13:05,440 Speaker 4: tons billion excuse me, three point six million tons of 232 00:13:05,559 --> 00:13:08,160 Speaker 4: value added steel products. It's actually not that much it's 233 00:13:08,200 --> 00:13:10,760 Speaker 4: just a fraction of their total production, and on the 234 00:13:10,760 --> 00:13:12,240 Speaker 4: scale of US production. 235 00:13:11,960 --> 00:13:12,760 Speaker 7: That's nothing. 236 00:13:13,120 --> 00:13:15,280 Speaker 4: But the fact that they still seem to be looking 237 00:13:15,320 --> 00:13:19,120 Speaker 4: at that does raise questions, I think, to various people 238 00:13:19,120 --> 00:13:22,400 Speaker 4: who have been watching this as to whether or not 239 00:13:22,559 --> 00:13:26,760 Speaker 4: the SIFIUS will determine that there is a national security problem. 240 00:13:27,320 --> 00:13:28,720 Speaker 7: It's impossible to sell at this point. 241 00:13:28,800 --> 00:13:32,960 Speaker 4: They still have to go through the entire investigation process, Treasury, 242 00:13:33,280 --> 00:13:35,120 Speaker 4: Defense Department, and Commerce Department. 243 00:13:35,160 --> 00:13:37,120 Speaker 7: They all need to weigh in on this thing, and 244 00:13:37,200 --> 00:13:38,200 Speaker 7: ultimately it could be. 245 00:13:38,320 --> 00:13:40,800 Speaker 4: This is some reporting that I had a couple of 246 00:13:40,800 --> 00:13:44,600 Speaker 4: weekends ago that it might not necessarily be a national 247 00:13:44,640 --> 00:13:49,959 Speaker 4: security issue from a defense standpoint, but this rising economic 248 00:13:50,360 --> 00:13:53,080 Speaker 4: national security issue that we all became aware of during 249 00:13:53,080 --> 00:13:56,559 Speaker 4: the Trump administration, right, and that is, if the administration 250 00:13:56,679 --> 00:13:59,640 Speaker 4: feels like the loss of some steel mills from US 251 00:13:59,679 --> 00:14:04,040 Speaker 4: Steel and the loss of steel jobs with those US 252 00:14:04,040 --> 00:14:10,840 Speaker 4: steel plans poses some sort of economic security issue, then 253 00:14:11,320 --> 00:14:14,360 Speaker 4: you know, they might raise that as a reason that 254 00:14:14,960 --> 00:14:18,040 Speaker 4: the steal not necessarily. 255 00:14:17,520 --> 00:14:19,840 Speaker 7: It's blocked, but that there have to be some changes. 256 00:14:20,440 --> 00:14:22,800 Speaker 4: It's unclear what that might be, but we did have 257 00:14:22,840 --> 00:14:25,760 Speaker 4: one expert say, you know, it could be that Sophia 258 00:14:25,840 --> 00:14:28,480 Speaker 4: says to nip On, Hey, you know you have to 259 00:14:28,520 --> 00:14:30,800 Speaker 4: make some promises to keep these new open or to 260 00:14:31,000 --> 00:14:34,120 Speaker 4: keep these jobs because it is a national security concern. 261 00:14:34,480 --> 00:14:37,440 Speaker 4: But again that's so far in the future, it's unclear 262 00:14:37,720 --> 00:14:39,960 Speaker 4: if those are even the things that are being discussed. 263 00:14:41,800 --> 00:14:45,240 Speaker 1: Joe, thanks very much. It's always a pleasure. Jodo, Bloomberg 264 00:14:45,360 --> 00:14:46,760 Speaker 1: Metals and Mining reporter. 265 00:15:04,960 --> 00:15:07,360 Speaker 3: All right, joining us now in our studios here in 266 00:15:07,400 --> 00:15:10,800 Speaker 3: Hong Kong to talk about Chinese tech and policy going forward, 267 00:15:10,840 --> 00:15:13,800 Speaker 3: the NPC meetings and a whole lot more is Sarah 268 00:15:13,880 --> 00:15:18,120 Speaker 3: jen who is Bloomberg's China technology reporter. I just was 269 00:15:18,240 --> 00:15:21,280 Speaker 3: very interested, Sarah, in reading through your notes when you 270 00:15:21,360 --> 00:15:24,560 Speaker 3: came back, about how lots of delegates would trot out 271 00:15:24,640 --> 00:15:27,920 Speaker 3: the phrase new productive forces, but then when you would 272 00:15:28,320 --> 00:15:32,000 Speaker 3: try to get details on how this would actually allow 273 00:15:32,120 --> 00:15:36,400 Speaker 3: China to compete with the United States on AI, they 274 00:15:36,440 --> 00:15:40,120 Speaker 3: would say something like I haven't gotten into. 275 00:15:39,960 --> 00:15:42,920 Speaker 6: That yet and then scurry off to something else. 276 00:15:43,520 --> 00:15:46,600 Speaker 3: How frustrating was it for you in terms of getting 277 00:15:46,640 --> 00:15:48,120 Speaker 3: real information from the delegates. 278 00:15:48,840 --> 00:15:49,800 Speaker 5: Yes, exactly. 279 00:15:49,880 --> 00:15:52,720 Speaker 8: So this phrase that you mentioned, new productive forces, that's 280 00:15:52,800 --> 00:15:55,640 Speaker 8: really the latest buzzword that we've been hearing from Chozing 281 00:15:55,680 --> 00:15:58,440 Speaker 8: Pain and from the central government, and so that's obviously 282 00:15:58,480 --> 00:16:01,480 Speaker 8: what us as reporters wanted to know more about, right 283 00:16:01,520 --> 00:16:03,400 Speaker 8: so a lot of us were trying to ask some 284 00:16:03,440 --> 00:16:06,880 Speaker 8: of the NPC, which is the National People's Congress, the 285 00:16:06,960 --> 00:16:12,000 Speaker 8: National Legislature delegates and also delegates to this centralized advisory 286 00:16:12,000 --> 00:16:14,200 Speaker 8: body to the government at the Great Hall of the 287 00:16:14,240 --> 00:16:14,760 Speaker 8: People in. 288 00:16:14,760 --> 00:16:16,480 Speaker 5: Beijing about this phrase. 289 00:16:16,800 --> 00:16:19,600 Speaker 8: It's the first time that they were holding these annual 290 00:16:20,040 --> 00:16:23,400 Speaker 8: party meetings after COVID, so we were hoping to get 291 00:16:23,400 --> 00:16:25,920 Speaker 8: more access. We were able to be there in person 292 00:16:26,000 --> 00:16:28,200 Speaker 8: this time compared to last year in the year before, 293 00:16:28,400 --> 00:16:31,720 Speaker 8: but unfortunately people were not that willing to talk to us. 294 00:16:32,400 --> 00:16:34,800 Speaker 8: They would say, oh, you know, this phrase is really important, 295 00:16:34,840 --> 00:16:36,800 Speaker 8: we need to focus on it. But when you ask 296 00:16:36,840 --> 00:16:40,320 Speaker 8: them what it actually means in tangible terms, that's something 297 00:16:40,360 --> 00:16:41,000 Speaker 8: that was a lot. 298 00:16:40,880 --> 00:16:43,560 Speaker 5: Harder for people to spell out, or less willing for them. 299 00:16:43,440 --> 00:16:44,000 Speaker 3: To spell out. 300 00:16:44,160 --> 00:16:47,040 Speaker 1: When I think of the business world in China, there 301 00:16:47,040 --> 00:16:49,680 Speaker 1: are kind of two strands. There's the private sector and 302 00:16:49,680 --> 00:16:52,400 Speaker 1: then there's kind of the state and state owned enterprises. 303 00:16:52,440 --> 00:16:56,000 Speaker 1: And when you hear that term new productive forces, does 304 00:16:56,040 --> 00:16:59,600 Speaker 1: it apply equally to kind of both camps, or does 305 00:16:59,600 --> 00:17:03,920 Speaker 1: it you more toward kind of the state sponsored enterprise. 306 00:17:04,960 --> 00:17:07,520 Speaker 8: I think, based on some of the conversations we were 307 00:17:07,560 --> 00:17:10,000 Speaker 8: able to have when we cornered some of these delegates, 308 00:17:10,119 --> 00:17:12,639 Speaker 8: the way that people describe it is a combination of 309 00:17:12,680 --> 00:17:16,199 Speaker 8: sort of cutting edge tech innovation on AI and chips, 310 00:17:16,560 --> 00:17:20,440 Speaker 8: and then on building talent a big base of tech talent, 311 00:17:20,520 --> 00:17:21,280 Speaker 8: and then education. 312 00:17:21,760 --> 00:17:23,000 Speaker 5: So these three sort of. 313 00:17:23,040 --> 00:17:26,960 Speaker 8: Main areas, and obviously you know state owned enterprises, the 314 00:17:27,000 --> 00:17:30,040 Speaker 8: sort of state backed tech sectors, those are the most 315 00:17:30,040 --> 00:17:32,919 Speaker 8: important parts We've seen over the last few years. Beijing 316 00:17:33,000 --> 00:17:35,920 Speaker 8: really cracking down on the internet industry, but they're still 317 00:17:36,000 --> 00:17:37,120 Speaker 8: very supportive. 318 00:17:36,680 --> 00:17:37,760 Speaker 5: Of the tech sector. 319 00:17:38,040 --> 00:17:42,560 Speaker 8: And by tech they mean AI, chips, like these hard 320 00:17:42,600 --> 00:17:45,600 Speaker 8: tech things that you mentioned, science and tech research that 321 00:17:45,640 --> 00:17:51,159 Speaker 8: can help, you know, elevate their overall tech level and 322 00:17:51,200 --> 00:17:53,239 Speaker 8: bring them closer to where the US is. 323 00:17:53,520 --> 00:17:55,639 Speaker 3: Well, And there's a little bit of muscle coming because 324 00:17:55,680 --> 00:17:58,440 Speaker 3: they talked about a ten percent increase in the budget 325 00:17:58,480 --> 00:18:01,520 Speaker 3: for science and technology. It's not a small number fifty 326 00:18:01,560 --> 00:18:05,080 Speaker 3: one point six billion dollars that could make a difference. 327 00:18:05,320 --> 00:18:08,800 Speaker 3: And I'm curious what you heard from some of the 328 00:18:08,800 --> 00:18:11,680 Speaker 3: delegates that you spoke to about how that money might 329 00:18:11,720 --> 00:18:13,360 Speaker 3: be deployed exactly. 330 00:18:13,359 --> 00:18:13,800 Speaker 5: That's right. 331 00:18:13,840 --> 00:18:16,119 Speaker 8: There is this ten percent increase, and actually when you 332 00:18:16,160 --> 00:18:19,520 Speaker 8: see the level of spending on science and tech research 333 00:18:19,560 --> 00:18:21,800 Speaker 8: over the last few years is at the highest level 334 00:18:21,800 --> 00:18:23,960 Speaker 8: in the last five or six years, especially because of 335 00:18:24,000 --> 00:18:25,680 Speaker 8: a small dip during COVID. 336 00:18:26,000 --> 00:18:27,640 Speaker 5: We don't know exactly how. 337 00:18:27,440 --> 00:18:29,359 Speaker 8: It will be deployed yet, but they say that the 338 00:18:29,359 --> 00:18:33,159 Speaker 8: focus will be on basic research, and so that just 339 00:18:33,200 --> 00:18:35,879 Speaker 8: plays into this whole idea that the central government is 340 00:18:35,920 --> 00:18:42,000 Speaker 8: really focused on promoting national championship, national champions state owned enterprises, 341 00:18:42,040 --> 00:18:45,880 Speaker 8: and the fundamental underlying research like in things like quantum 342 00:18:45,880 --> 00:18:49,280 Speaker 8: computing and chips that can help to lead to homegrown 343 00:18:49,359 --> 00:18:52,720 Speaker 8: scientific breakthroughs and give them this tech self reliance. 344 00:18:52,240 --> 00:18:52,960 Speaker 5: That they're going for. 345 00:18:53,080 --> 00:18:55,160 Speaker 1: Yeah, I think the elephant in the room the US 346 00:18:55,240 --> 00:18:58,960 Speaker 1: export controls on the most advanced semiconductor making equipment, right, 347 00:18:59,040 --> 00:19:03,840 Speaker 1: I mean, is put pressure on Dutch companies, on Japanese 348 00:19:03,880 --> 00:19:07,880 Speaker 1: firms as well to try to prevent China from accessing 349 00:19:08,359 --> 00:19:11,040 Speaker 1: the most sophisticated types of equipment. I hear what you're 350 00:19:11,040 --> 00:19:13,600 Speaker 1: saying in terms of R and D, but I think 351 00:19:13,720 --> 00:19:17,240 Speaker 1: a reasonable market watcher, someone who has a kind of 352 00:19:17,320 --> 00:19:23,280 Speaker 1: a relatively modest sense of expertise in the chip industry 353 00:19:23,359 --> 00:19:25,800 Speaker 1: knows that it's this is a year's long slog that 354 00:19:25,840 --> 00:19:27,840 Speaker 1: it's going to take to China to try to catch 355 00:19:27,920 --> 00:19:31,680 Speaker 1: up in the absence of access to those technologies. 356 00:19:32,480 --> 00:19:34,560 Speaker 8: Yeah, I think you're totally right. I think that's the 357 00:19:34,600 --> 00:19:38,200 Speaker 8: issue right now. Everyone knows that you need a huge 358 00:19:38,240 --> 00:19:41,040 Speaker 8: amount of capital in order to create some of these 359 00:19:41,080 --> 00:19:43,440 Speaker 8: tech innovations that they need to catch up on the 360 00:19:43,520 --> 00:19:47,320 Speaker 8: chip side, especially when the US is mulling further chip sanctions. 361 00:19:47,640 --> 00:19:50,040 Speaker 8: And so that's why we saw things like this so 362 00:19:50,119 --> 00:19:53,120 Speaker 8: called big fund. It's the state backed fund where they're 363 00:19:53,119 --> 00:19:56,119 Speaker 8: trying to raise money from state on enterprises and local 364 00:19:56,160 --> 00:19:59,240 Speaker 8: governments to just pour that into chip making in particular 365 00:19:59,520 --> 00:20:03,040 Speaker 8: because they know how difficult and how capital intensive this 366 00:20:03,160 --> 00:20:03,800 Speaker 8: venture will be. 367 00:20:04,960 --> 00:20:07,000 Speaker 3: So in some ways you wonder you know how to 368 00:20:07,040 --> 00:20:12,080 Speaker 3: achieve that goal because some of it is the economic muscle, 369 00:20:12,200 --> 00:20:15,960 Speaker 3: the money poured into R and D. Some of it 370 00:20:16,040 --> 00:20:20,879 Speaker 3: is just the innovation, the ingenuity, and you need a 371 00:20:20,960 --> 00:20:24,640 Speaker 3: bit of freedom for that. So that's something that perhaps 372 00:20:24,680 --> 00:20:26,520 Speaker 3: China could use some progress on. But then if you 373 00:20:26,560 --> 00:20:30,040 Speaker 3: look at many companies like bay Do they have achieved 374 00:20:30,040 --> 00:20:31,760 Speaker 3: some great successes. 375 00:20:32,119 --> 00:20:32,919 Speaker 6: Even in AI. 376 00:20:33,320 --> 00:20:34,800 Speaker 3: And if you look at a company like ten Cent 377 00:20:34,800 --> 00:20:37,520 Speaker 3: and ali Baba, in many ways they went past American 378 00:20:37,560 --> 00:20:41,119 Speaker 3: companies in their development on the Internet in the past, 379 00:20:41,119 --> 00:20:43,000 Speaker 3: so it's not completely out of the question. 380 00:20:43,480 --> 00:20:44,680 Speaker 5: Yeah, that's absolutely true. 381 00:20:44,720 --> 00:20:47,000 Speaker 8: I think what tech experts and people in the industry 382 00:20:47,040 --> 00:20:49,320 Speaker 8: will say is that China is often better at the 383 00:20:49,440 --> 00:20:52,480 Speaker 8: US in terms of things like application Like the things 384 00:20:52,480 --> 00:20:55,920 Speaker 8: that you mentioned on the internet sector. We've seen Tencent 385 00:20:55,960 --> 00:20:58,879 Speaker 8: with we chat and Ali Baba with alipay. All of 386 00:20:58,920 --> 00:21:02,760 Speaker 8: these sort of tech in application level things are things 387 00:21:02,760 --> 00:21:04,840 Speaker 8: that China is very good at. When it comes to 388 00:21:04,920 --> 00:21:08,119 Speaker 8: actually innovating at a fundamental level, though, that's a different story. 389 00:21:08,320 --> 00:21:09,600 Speaker 6: You need freedom for that, don't you. 390 00:21:09,840 --> 00:21:12,960 Speaker 8: That's true, and that's why in generative AI net right now, 391 00:21:12,960 --> 00:21:15,080 Speaker 8: we're talking a little bit about how some of the 392 00:21:15,160 --> 00:21:19,080 Speaker 8: restrictions on the content side and you know government regular 393 00:21:19,560 --> 00:21:22,119 Speaker 8: you know oversight over some of these companies is sort. 394 00:21:22,000 --> 00:21:23,800 Speaker 5: Of inhibiting the free wheeling. 395 00:21:23,520 --> 00:21:25,960 Speaker 8: Innovation you might need or that we're seeing in the 396 00:21:26,040 --> 00:21:28,760 Speaker 8: US and Silicon Valley to sort of just go all 397 00:21:28,760 --> 00:21:31,879 Speaker 8: in on generative AI because with some of these guardrails 398 00:21:31,920 --> 00:21:35,240 Speaker 8: in place, it's harder to get to the training level 399 00:21:35,359 --> 00:21:36,800 Speaker 8: that you need to create. 400 00:21:37,880 --> 00:21:41,120 Speaker 5: You know, a real rival to Open AI in China. 401 00:21:41,320 --> 00:21:43,720 Speaker 1: Big story today in the US is this house build 402 00:21:43,760 --> 00:21:48,240 Speaker 1: that passed to ban TikTok in the US unless the 403 00:21:48,320 --> 00:21:52,000 Speaker 1: owners in China that being bitedance cells. We know that 404 00:21:52,119 --> 00:21:55,320 Speaker 1: the leadership in China has been opposed to that notion. 405 00:21:55,560 --> 00:21:58,639 Speaker 1: I'm wondering, though, can you imagine a world where TikTok 406 00:21:58,760 --> 00:22:02,359 Speaker 1: becomes a bargaining chip to try to get access to 407 00:22:02,400 --> 00:22:04,000 Speaker 1: the things that it would like to have from the 408 00:22:04,119 --> 00:22:07,760 Speaker 1: US in exchange for an agreement to kind of offload 409 00:22:07,920 --> 00:22:12,480 Speaker 1: this asset and allow an American company to own it entirely. 410 00:22:13,600 --> 00:22:16,520 Speaker 8: I do think stranger things have happened, but this would 411 00:22:16,520 --> 00:22:19,720 Speaker 8: be you know, who would bring things to a completely 412 00:22:19,840 --> 00:22:23,560 Speaker 8: unprecedented level to have a you know what's in name 413 00:22:23,680 --> 00:22:26,760 Speaker 8: a private company used as a bargaining chip in this way. 414 00:22:26,840 --> 00:22:29,080 Speaker 8: I mean, we saw this sort of happen with Huawei, 415 00:22:29,280 --> 00:22:32,919 Speaker 8: but to use TikTok and data that the Chinese government 416 00:22:32,920 --> 00:22:35,080 Speaker 8: has said is sensitive and they do not want to 417 00:22:35,119 --> 00:22:39,000 Speaker 8: be exported to have that kind of algorithm. Technology uses 418 00:22:39,040 --> 00:22:41,520 Speaker 8: a bargaining chip to get chips from the US. 419 00:22:41,800 --> 00:22:44,280 Speaker 5: I feel like that would be at the moment, it 420 00:22:44,320 --> 00:22:45,399 Speaker 5: still seems quite unlikely. 421 00:22:45,480 --> 00:22:48,160 Speaker 3: Can you give me twenty five seconds on China looking 422 00:22:48,240 --> 00:22:54,520 Speaker 3: at an AI assistant for neurosurgeons for neurosurgeons. Yes, that's 423 00:22:54,520 --> 00:22:56,919 Speaker 3: something we don't have enough time. Actually, I think what 424 00:22:56,960 --> 00:22:59,320 Speaker 3: we'll do is save that for for the next time. 425 00:23:00,160 --> 00:23:03,240 Speaker 3: Just looking at that story. That one of the things 426 00:23:03,280 --> 00:23:05,800 Speaker 3: that you need to know today in a piece that 427 00:23:05,840 --> 00:23:08,720 Speaker 3: appeared on the Bloomberg Terminal. We'll get to that in 428 00:23:08,760 --> 00:23:11,880 Speaker 3: another session with Sarah. Sarah Jang here with us from 429 00:23:11,920 --> 00:23:19,040 Speaker 3: Bloomberg China Technology. 430 00:23:20,080 --> 00:23:23,000 Speaker 1: This has been the Bloomberg Daybreak Asia podcast, bringing you 431 00:23:23,080 --> 00:23:26,160 Speaker 1: the stories making news and moving markets in the Asia Pacific. 432 00:23:26,680 --> 00:23:29,800 Speaker 1: Visit the Bloomberg Podcast channel on YouTube to get more 433 00:23:29,840 --> 00:23:33,439 Speaker 1: episodes of this and other shows from Bloomberg. Subscribe to 434 00:23:33,480 --> 00:23:37,240 Speaker 1: the podcast on Apple, Spotify, or anywhere else you listen, 435 00:23:37,359 --> 00:23:40,440 Speaker 1: and always on Bloomberg Radio, the Bloomberg Terminal, and the 436 00:23:40,480 --> 00:23:41,560 Speaker 1: Bloomberg Business app.