1 00:00:02,040 --> 00:00:03,960 Speaker 1: This is Bloomberg Law. 2 00:00:04,040 --> 00:00:08,160 Speaker 2: Are plaintiff's leries involved in a kind of competition in Congress? 3 00:00:08,200 --> 00:00:10,280 Speaker 2: Force a judicial code on the justices? 4 00:00:10,320 --> 00:00:13,560 Speaker 1: Interviews with prominent attorneys in Bloomberg Legal Experts. 5 00:00:13,680 --> 00:00:16,639 Speaker 2: My guest is former federal prosecutor Robert min Joining me 6 00:00:16,680 --> 00:00:18,600 Speaker 2: is Bloomberg Law reporter Kyle Janner. 7 00:00:18,680 --> 00:00:22,000 Speaker 1: And analysis of important legal issues, cases and headlines. 8 00:00:22,200 --> 00:00:25,360 Speaker 2: Is it unusual a grand jury like this to suspect 9 00:00:25,440 --> 00:00:27,800 Speaker 2: people aren't telling the truth? One of the first times 10 00:00:27,800 --> 00:00:30,319 Speaker 2: the Justice Department has called for the breakup of a 11 00:00:30,400 --> 00:00:31,160 Speaker 2: major company. 12 00:00:31,240 --> 00:00:34,440 Speaker 1: Bloomberg Law with June Grasso from Bloomberg Radio. 13 00:00:38,400 --> 00:00:41,479 Speaker 3: Welcome to Bloomberg Law on Bloomberg Radio. I'm Madison Mills 14 00:00:41,520 --> 00:00:45,159 Speaker 3: in for June Grasso. Today we're talking about how a 15 00:00:45,280 --> 00:00:49,640 Speaker 3: conservative supermajority is affecting the Supreme Court and reshaping the 16 00:00:49,760 --> 00:00:52,800 Speaker 3: US as a result. Plus later in the show, three 17 00:00:52,840 --> 00:00:56,440 Speaker 3: men convicted of acting as Chinese agents in New York City. 18 00:00:56,440 --> 00:00:59,480 Speaker 3: We're going to talk about that and the latest congressional bill, 19 00:00:59,600 --> 00:01:03,720 Speaker 3: target AI aims to work towards regulation, but is it 20 00:01:03,840 --> 00:01:06,400 Speaker 3: gonna work. We're gonna discuss all of that and more 21 00:01:06,480 --> 00:01:09,480 Speaker 3: on the program, But first let's start with the highest 22 00:01:09,520 --> 00:01:11,920 Speaker 3: court in the land, because the Supreme Court has had 23 00:01:11,959 --> 00:01:15,240 Speaker 3: a strain of decisions that have tested the core principles 24 00:01:15,280 --> 00:01:19,600 Speaker 3: of American democracy, leaving American citizens skeptical about the Court 25 00:01:19,680 --> 00:01:22,679 Speaker 3: as a result. Here to discuss is Bloomberg New Supreme 26 00:01:22,720 --> 00:01:25,640 Speaker 3: Court reporter, Greg's store. Greg, thanks so much for being 27 00:01:25,680 --> 00:01:29,040 Speaker 3: with us as always, you've covered the Supreme Court for 28 00:01:29,120 --> 00:01:31,720 Speaker 3: a while. Talk to me about what you would say 29 00:01:31,760 --> 00:01:36,200 Speaker 3: is the single biggest differentiating factor of this court versus 30 00:01:36,240 --> 00:01:37,680 Speaker 3: the other Supreme courts. 31 00:01:37,360 --> 00:01:39,720 Speaker 4: That you've covered, well, Madison, it starts with that six 32 00:01:39,800 --> 00:01:42,319 Speaker 4: 's three conservative majority that you mentioned, because that's what 33 00:01:42,440 --> 00:01:44,280 Speaker 4: lets them do all the other things. And what we've 34 00:01:44,280 --> 00:01:48,320 Speaker 4: seen as a court that has been pretty aggressive in 35 00:01:48,560 --> 00:01:52,520 Speaker 4: asserting its own powers, sometimes taking them away from other branches, 36 00:01:53,160 --> 00:01:58,760 Speaker 4: and really reshaping American law without seemingly worrying too much 37 00:01:58,800 --> 00:02:00,320 Speaker 4: about what the public reacts. 38 00:02:00,320 --> 00:02:04,840 Speaker 3: Is And talk to me about that public reaction. How 39 00:02:04,840 --> 00:02:07,360 Speaker 3: big of a shift would you say you've seen in 40 00:02:07,440 --> 00:02:09,480 Speaker 3: terms of the public perception of the Supreme Court. 41 00:02:09,840 --> 00:02:14,400 Speaker 4: Yeah, the Court's public standing is at or near record lows, 42 00:02:14,400 --> 00:02:18,600 Speaker 4: and that is driven primarily by really low approval ratings 43 00:02:18,600 --> 00:02:24,079 Speaker 4: among Democrats and liberals, you know, it's what's causing that. 44 00:02:24,919 --> 00:02:27,800 Speaker 4: You know, the polls don't necessarily show that, but certainly 45 00:02:27,880 --> 00:02:31,040 Speaker 4: all these big divisive decisions, the abortion decision being the 46 00:02:31,080 --> 00:02:35,400 Speaker 4: biggest one last year, but also all these ethics controversies 47 00:02:35,440 --> 00:02:38,760 Speaker 4: that we've had floating around. We've seen the Court's approval 48 00:02:38,840 --> 00:02:43,240 Speaker 4: numbers dip since the revelations about Clarence Thomas a few 49 00:02:43,280 --> 00:02:45,400 Speaker 4: months ago, and now, of course we're seeing some new 50 00:02:45,400 --> 00:02:46,880 Speaker 4: ones involving Justice sam Alito. 51 00:02:47,960 --> 00:02:50,639 Speaker 3: Do we know which of those two is having more 52 00:02:50,639 --> 00:02:53,120 Speaker 3: of an impact in terms of public perception. Is it 53 00:02:53,440 --> 00:02:57,840 Speaker 3: the sentiment surrounding the decisions of the court or the 54 00:02:57,880 --> 00:03:02,799 Speaker 3: personal ethics violations and allegations about those violations of individuals 55 00:03:02,800 --> 00:03:04,880 Speaker 3: on the court that's driving public perception. 56 00:03:05,560 --> 00:03:09,600 Speaker 4: It's really hard to say, you know, if I'm guessing, 57 00:03:09,600 --> 00:03:11,200 Speaker 4: and I'll just say this is a guest, just kind 58 00:03:11,200 --> 00:03:13,680 Speaker 4: of based on looking at the numbers and when they shift, 59 00:03:14,280 --> 00:03:19,200 Speaker 4: it's roughly equal parts both. Certainly, there are people who 60 00:03:19,200 --> 00:03:23,280 Speaker 4: are already predisposed to be skeptical of the Court and 61 00:03:23,320 --> 00:03:25,800 Speaker 4: what it's doing. And so maybe when somebody who doesn't 62 00:03:25,840 --> 00:03:28,840 Speaker 4: like the Court's abortion decision then reads about luxury vacations 63 00:03:28,880 --> 00:03:31,640 Speaker 4: taken by Clarence Thomas. That's all the more reason for 64 00:03:31,720 --> 00:03:33,800 Speaker 4: them to say, I don't approve of what the Court 65 00:03:33,840 --> 00:03:36,760 Speaker 4: is doing. So in some ways the two issues sort of, 66 00:03:37,440 --> 00:03:39,840 Speaker 4: you know, overlap with one with one another and kind 67 00:03:39,840 --> 00:03:40,840 Speaker 4: of build on one another. 68 00:03:41,320 --> 00:03:44,360 Speaker 3: Well, also, we talked earlier, and as you said, it's 69 00:03:44,360 --> 00:03:48,200 Speaker 3: this six ' three division of a conservative majority in 70 00:03:48,240 --> 00:03:51,960 Speaker 3: the Court, but you know it's not technically supposed to 71 00:03:52,480 --> 00:03:58,000 Speaker 3: be a political body, as you know very well, are 72 00:03:58,000 --> 00:04:02,520 Speaker 3: we seeing that politicization of the Supreme Court getting more 73 00:04:02,680 --> 00:04:04,440 Speaker 3: and more intense as the years go. 74 00:04:04,440 --> 00:04:07,839 Speaker 4: On, Yeah, very much so. And depending on which side 75 00:04:07,880 --> 00:04:09,960 Speaker 4: you talked to, will start at a different point in 76 00:04:10,000 --> 00:04:13,520 Speaker 4: describing how we got here, but certainly where we ended 77 00:04:13,600 --> 00:04:16,799 Speaker 4: up is the six most conservative justices on the Court 78 00:04:16,920 --> 00:04:20,120 Speaker 4: are all Republican appointees. The three most liberal are all 79 00:04:20,160 --> 00:04:24,760 Speaker 4: Democratic appointees. If there's another vacancy that comes up, nobody 80 00:04:25,000 --> 00:04:28,760 Speaker 4: will expect Joe Biden to nominate somebody who's anything other 81 00:04:28,800 --> 00:04:33,280 Speaker 4: than a liberal justice. And that's a dynamic we didn't 82 00:04:33,400 --> 00:04:37,720 Speaker 4: used to have Back twenty years ago, there were Republican 83 00:04:37,720 --> 00:04:41,360 Speaker 4: appointed justices whom we would describe as liberals because they 84 00:04:41,440 --> 00:04:44,680 Speaker 4: turn out not to be exactly what the Republican Party 85 00:04:45,040 --> 00:04:47,920 Speaker 4: was expecting when they were nominated, and going a little 86 00:04:47,960 --> 00:04:51,400 Speaker 4: farther back, you could find Democratic appointed justices who were 87 00:04:51,760 --> 00:04:54,680 Speaker 4: conservative on at least some issues, and that phenomenon just 88 00:04:54,720 --> 00:04:55,800 Speaker 4: doesn't exist anymore. 89 00:04:56,360 --> 00:04:59,719 Speaker 3: So, given that, are we expecting or do you anticipate 90 00:05:00,200 --> 00:05:03,960 Speaker 3: sort of changes to come in terms of how the 91 00:05:04,480 --> 00:05:08,560 Speaker 3: makeup of the court is decided and just kind of 92 00:05:09,160 --> 00:05:12,320 Speaker 3: the you know, tradition of the court in general. Do 93 00:05:12,360 --> 00:05:14,680 Speaker 3: you see any changes to that happening. 94 00:05:15,480 --> 00:05:18,640 Speaker 4: It's really hard to see how we as a society 95 00:05:18,800 --> 00:05:22,640 Speaker 4: get out of this particular box we're in. You know, 96 00:05:22,960 --> 00:05:25,839 Speaker 4: we've you know, essentially now in a world where you know, 97 00:05:25,920 --> 00:05:30,680 Speaker 4: Republicans are saying, for example, if if there's another vacancy 98 00:05:31,240 --> 00:05:33,479 Speaker 4: when Joe Biden is president, if they are able to 99 00:05:33,480 --> 00:05:38,039 Speaker 4: block confirmation in the in the Senate, they will do that. 100 00:05:39,640 --> 00:05:41,839 Speaker 4: You know, Democrats of course have talked about adding seats 101 00:05:41,880 --> 00:05:44,840 Speaker 4: to the court, but no indication there is the kind 102 00:05:44,880 --> 00:05:48,440 Speaker 4: of political will you would need to make that happen. 103 00:05:49,720 --> 00:05:52,200 Speaker 4: And some of these justices, you know, of course, they 104 00:05:52,200 --> 00:05:55,720 Speaker 4: have life tenures. So you know, the justices appointed by 105 00:05:55,760 --> 00:05:59,839 Speaker 4: Donald Trump are all you know well south of sixty 106 00:05:59,880 --> 00:06:01,880 Speaker 4: and conserve for several more decades. 107 00:06:03,160 --> 00:06:05,160 Speaker 3: Well, Greg, one thing that you also talk about in 108 00:06:05,200 --> 00:06:08,080 Speaker 3: your story, which folks can find on Bloomberg dot com 109 00:06:08,120 --> 00:06:10,560 Speaker 3: and on the terminal of course, about the aggressive Supreme 110 00:06:10,600 --> 00:06:14,440 Speaker 3: Court reshaping the US is just the kind of growth 111 00:06:14,680 --> 00:06:18,320 Speaker 3: of the power of the Supreme Court. Are there any 112 00:06:18,360 --> 00:06:20,320 Speaker 3: decisions that the Court has made that you can talk 113 00:06:20,360 --> 00:06:23,400 Speaker 3: to us about that have extended and expanded that power. 114 00:06:23,800 --> 00:06:27,520 Speaker 4: Yeah. The easiest place to think about this with with 115 00:06:27,560 --> 00:06:32,040 Speaker 4: regard to is that phenomenon is regarding the EPA. So 116 00:06:32,279 --> 00:06:35,599 Speaker 4: a series of decisions we have seen. The Court last 117 00:06:35,720 --> 00:06:40,159 Speaker 4: year restricted the EPA's authority over climate change in terms 118 00:06:40,200 --> 00:06:43,919 Speaker 4: of regulating emissions coming out of power plants. This term, 119 00:06:44,240 --> 00:06:48,560 Speaker 4: the Court sharply curtailed the EPA's authority over to protect 120 00:06:48,600 --> 00:06:52,760 Speaker 4: wetlands and took potentially tens of millions of wetlands out 121 00:06:52,839 --> 00:06:56,479 Speaker 4: of out of the scope of the Clean Water Act. 122 00:06:56,800 --> 00:06:59,080 Speaker 4: And then next term the Court has a case that's 123 00:06:59,120 --> 00:07:01,640 Speaker 4: a little more kind in the legal weeds, but is 124 00:07:01,680 --> 00:07:05,640 Speaker 4: really important that they're considering overturning a precedent that has 125 00:07:05,960 --> 00:07:10,160 Speaker 4: given agencies a certain amount of leeway when they interpret 126 00:07:10,280 --> 00:07:13,720 Speaker 4: statutes and you know all told what that means is 127 00:07:14,000 --> 00:07:16,720 Speaker 4: the agencies are able to do less than they were 128 00:07:16,760 --> 00:07:20,240 Speaker 4: able to, and the Supreme Court now is more the 129 00:07:20,240 --> 00:07:25,800 Speaker 4: final arbiter of what the agencies can and cannot do well. 130 00:07:25,840 --> 00:07:29,080 Speaker 3: And speaking of that power as well, it just feels 131 00:07:29,160 --> 00:07:32,040 Speaker 3: like there's we're kind of in a different era and 132 00:07:32,120 --> 00:07:34,680 Speaker 3: you talk about this in the story than we were 133 00:07:34,840 --> 00:07:37,920 Speaker 3: when the Supreme Court was originated. You know, I think 134 00:07:37,920 --> 00:07:41,760 Speaker 3: about the use of quill pens in the courtroom, for example, 135 00:07:42,560 --> 00:07:45,440 Speaker 3: do you see any of those sort of I don't 136 00:07:45,440 --> 00:07:49,680 Speaker 3: want to say smaller, but those little traditions changing over 137 00:07:49,760 --> 00:07:53,000 Speaker 3: time to kind of at least indicate to the public 138 00:07:53,080 --> 00:07:57,880 Speaker 3: that there is some evolution happening with the Supreme Court. 139 00:07:58,000 --> 00:08:00,840 Speaker 4: Well, this is a court that is very resistant to 140 00:08:01,000 --> 00:08:04,560 Speaker 4: changing its long standing practices. Now one thing that has 141 00:08:04,680 --> 00:08:08,320 Speaker 4: changed is, you know, arguments, which used to be it 142 00:08:08,400 --> 00:08:09,840 Speaker 4: used to be the only people who could hear the 143 00:08:10,000 --> 00:08:12,800 Speaker 4: arguments were the few hundred people who could pack into 144 00:08:12,800 --> 00:08:16,520 Speaker 4: the courtroom. Now they live stream the arguments and that 145 00:08:16,560 --> 00:08:19,640 Speaker 4: has you know, provided a certain amount of transparency now 146 00:08:19,680 --> 00:08:22,200 Speaker 4: that they were sort of forced into that because of 147 00:08:22,280 --> 00:08:25,480 Speaker 4: the realities of the pandemic when they were holding arguments 148 00:08:25,760 --> 00:08:29,520 Speaker 4: by phone. But they're still resisting other things that could 149 00:08:29,560 --> 00:08:33,040 Speaker 4: make the court more transparent, for example, cameras in the courtroom. 150 00:08:33,880 --> 00:08:37,319 Speaker 4: No indication that they're anywhere close to allowing that. 151 00:08:38,200 --> 00:08:40,719 Speaker 3: So what are the big questions that the Court is 152 00:08:40,760 --> 00:08:43,280 Speaker 3: going to be answering this cycle that you can let 153 00:08:43,320 --> 00:08:43,720 Speaker 3: us in on. 154 00:08:44,200 --> 00:08:47,120 Speaker 4: Yes, there are. There are several very big cases the 155 00:08:47,120 --> 00:08:49,120 Speaker 4: Court's going to be deciding in the next week and 156 00:08:49,160 --> 00:08:54,000 Speaker 4: a half or so. Perhaps the biggest one is one 157 00:08:54,040 --> 00:08:57,120 Speaker 4: that could abolish the use of race in college admissions. 158 00:08:57,160 --> 00:09:00,440 Speaker 4: The Court's being asked to overturn a couple precedents that 159 00:09:00,440 --> 00:09:02,800 Speaker 4: that say universities can do that for the sake of 160 00:09:03,360 --> 00:09:07,720 Speaker 4: achieving campus to diversity. The Court is also considering striking 161 00:09:07,760 --> 00:09:14,240 Speaker 4: down President Biden's student loan release policy, which would forgive 162 00:09:14,559 --> 00:09:18,080 Speaker 4: at least in part, loans held by some forty million people. 163 00:09:18,760 --> 00:09:21,480 Speaker 4: There's a big case involving the intersection of free speech 164 00:09:21,559 --> 00:09:25,800 Speaker 4: rights and LGBTQ rights. There's a very big case involving 165 00:09:26,080 --> 00:09:29,160 Speaker 4: who gets to set the rules for federal elections. So 166 00:09:29,320 --> 00:09:30,839 Speaker 4: it's going to be a very busy next week and 167 00:09:30,880 --> 00:09:32,400 Speaker 4: a half and it will tell us a lot more 168 00:09:32,760 --> 00:09:36,800 Speaker 4: about whether the Court wants to continue being as aggressive 169 00:09:36,800 --> 00:09:38,520 Speaker 4: in the use of its powers as it has been 170 00:09:38,559 --> 00:09:39,080 Speaker 4: in the past. 171 00:09:39,280 --> 00:09:41,839 Speaker 3: And really quickly here, Greg, what's next when it comes 172 00:09:41,840 --> 00:09:45,079 Speaker 3: to the ethics questions of some of the Supreme Court justices. 173 00:09:45,400 --> 00:09:49,640 Speaker 4: Well, we had this new story from Republica about Justice Alito, 174 00:09:49,679 --> 00:09:51,959 Speaker 4: and there's going to be a lot of fallout from that. 175 00:09:52,080 --> 00:09:56,880 Speaker 4: They the report is that he took a fishing vacation 176 00:09:57,000 --> 00:10:00,360 Speaker 4: with somebody who eventually had business before the Court. Didn't 177 00:10:00,360 --> 00:10:02,920 Speaker 4: disclose that. There's give me a lot more talk about 178 00:10:02,920 --> 00:10:05,800 Speaker 4: trying to impose a code of conduct on the Supreme Court. 179 00:10:07,000 --> 00:10:09,120 Speaker 3: All right, Greg, Well, thank you so much as always 180 00:10:09,160 --> 00:10:11,880 Speaker 3: for joining us to break down all things the Supreme 181 00:10:11,920 --> 00:10:14,480 Speaker 3: Court in the United States. That was Greg's store Bloomberg 182 00:10:14,520 --> 00:10:18,000 Speaker 3: News reporter joining us from Washington as always to talk 183 00:10:18,000 --> 00:10:21,080 Speaker 3: about the Supreme Court. Really important coverage from him and 184 00:10:21,120 --> 00:10:23,840 Speaker 3: the rest of our DC team about the decisions to 185 00:10:23,840 --> 00:10:26,600 Speaker 3: come from the Supreme Court. As he was mentioning there, 186 00:10:27,000 --> 00:10:30,120 Speaker 3: we've got student loans on the docket, affirmative actions, so 187 00:10:30,520 --> 00:10:32,760 Speaker 3: a lot of really big questions that are going to 188 00:10:32,760 --> 00:10:36,559 Speaker 3: be shaping the future of democracy in the US, and 189 00:10:36,640 --> 00:10:39,440 Speaker 3: a lot of other factors there so really important to watch. 190 00:10:39,760 --> 00:10:41,960 Speaker 3: Coming up, we're going to talk about the future of 191 00:10:42,040 --> 00:10:43,720 Speaker 3: AI regulation in DC. 192 00:10:44,480 --> 00:10:45,120 Speaker 5: That's next. 193 00:10:45,240 --> 00:10:48,320 Speaker 3: I'm Madison Mills in for June Grasso on Bloomberg Law 194 00:10:48,360 --> 00:10:51,040 Speaker 3: this week, and this is Bloomberg. 195 00:11:04,160 --> 00:11:08,960 Speaker 1: This is Bloomberg Law with June Grosso from Bloomberg Radio. 196 00:11:10,480 --> 00:11:13,040 Speaker 3: We're going to move from Washington up here to New 197 00:11:13,120 --> 00:11:17,120 Speaker 3: York City because a retired NYPD sergeant and two others 198 00:11:17,200 --> 00:11:21,199 Speaker 3: were convicted as agents of China. Those three men were 199 00:11:21,240 --> 00:11:24,600 Speaker 3: also pressuring dissidents to return to China from the US 200 00:11:24,640 --> 00:11:27,480 Speaker 3: as well. So here to discuss all of the details 201 00:11:27,520 --> 00:11:31,360 Speaker 3: of this is Bloomberg News reporter Patricia Hurtado joining us 202 00:11:31,840 --> 00:11:34,280 Speaker 3: by phone. Patricia, thank you so much for coming on 203 00:11:34,320 --> 00:11:37,160 Speaker 3: the show. Just give me the lowdown here for those 204 00:11:37,160 --> 00:11:39,240 Speaker 3: who haven't been familiar with this story. 205 00:11:39,240 --> 00:11:40,000 Speaker 5: What do we need to know? 206 00:11:40,960 --> 00:11:44,520 Speaker 6: Well, at Brooklyn federal jury heard a three week trial 207 00:11:44,679 --> 00:11:48,040 Speaker 6: and deliberated for two days in a case that accused 208 00:11:48,480 --> 00:11:53,560 Speaker 6: a retired NYPD police sergeant and two other men with 209 00:11:53,840 --> 00:11:57,480 Speaker 6: acting as a legal agents of the Chinese government to 210 00:11:57,559 --> 00:12:00,880 Speaker 6: pressure dissidents to return to China. 211 00:12:01,000 --> 00:12:03,360 Speaker 3: And what does this mean for those three men in 212 00:12:03,440 --> 00:12:05,440 Speaker 3: terms of what's next for them? What happens? 213 00:12:06,040 --> 00:12:10,280 Speaker 6: Well, they all three faced substantial prison time. One of them, 214 00:12:10,760 --> 00:12:15,360 Speaker 6: the former cop, faces at least twenty years and possible 215 00:12:15,400 --> 00:12:20,280 Speaker 6: the twenty year prison term substantial time for anybody. And 216 00:12:20,360 --> 00:12:22,920 Speaker 6: this was the first case to go to trial brought 217 00:12:22,960 --> 00:12:26,880 Speaker 6: by the US government making these allegations, which are pretty 218 00:12:26,920 --> 00:12:29,840 Speaker 6: serious if you think about it. It's that the Chinese 219 00:12:29,840 --> 00:12:33,800 Speaker 6: government sent operatives or had operatives acting on their behalf 220 00:12:34,240 --> 00:12:39,760 Speaker 6: to pressure and induce former Chinese nationals who moved to 221 00:12:39,800 --> 00:12:42,360 Speaker 6: the US and show up on their doorsteps and spy 222 00:12:42,440 --> 00:12:42,800 Speaker 6: on them. 223 00:12:43,920 --> 00:12:46,040 Speaker 3: That's yeah, that's really interesting. Do we know any of 224 00:12:46,080 --> 00:12:50,160 Speaker 3: the details of what that operation sort of looked like 225 00:12:50,240 --> 00:12:53,040 Speaker 3: and anything else you can tell us about what would 226 00:12:53,080 --> 00:12:53,720 Speaker 3: go on with that. 227 00:12:54,679 --> 00:12:59,040 Speaker 6: Well, the government has brought several cases and the Eastern 228 00:12:59,080 --> 00:13:03,280 Speaker 6: District of New York, which includes neighborhoods include you know, 229 00:13:03,400 --> 00:13:07,760 Speaker 6: Chinatowns in both Brooklyn Sunset Park as well as in 230 00:13:07,840 --> 00:13:13,319 Speaker 6: Fleshing Queens. They have brought other cases involving activity they 231 00:13:13,400 --> 00:13:17,720 Speaker 6: allege has been you know, people acting on behalf of 232 00:13:17,760 --> 00:13:22,360 Speaker 6: the Chinese government, including enslaving people to build and do 233 00:13:22,480 --> 00:13:27,000 Speaker 6: work on a house that was owned by an estate 234 00:13:27,040 --> 00:13:29,680 Speaker 6: that was owned by the Chinese government. But this case 235 00:13:29,800 --> 00:13:35,400 Speaker 6: basically alleges that they people were being monitored. This former 236 00:13:35,559 --> 00:13:39,280 Speaker 6: police sergeant was accused and the jury found that he 237 00:13:39,520 --> 00:13:43,440 Speaker 6: access law enforcement databases to find out information about where 238 00:13:43,480 --> 00:13:47,080 Speaker 6: these people lived and would show up and track their cars. 239 00:13:47,200 --> 00:13:51,080 Speaker 6: And these people were getting messages and letters in their 240 00:13:51,120 --> 00:13:55,960 Speaker 6: mail basically threatening them. So you know, the idea that 241 00:13:56,000 --> 00:13:59,000 Speaker 6: there's this big brother is watching all the way from 242 00:13:59,080 --> 00:14:02,760 Speaker 6: China is quite shocking to some some people, of course. 243 00:14:02,840 --> 00:14:03,040 Speaker 7: Yeah. 244 00:14:03,080 --> 00:14:07,600 Speaker 3: And this was called Operation fox Hunt by the Chinese government, 245 00:14:07,679 --> 00:14:08,240 Speaker 3: is that correct? 246 00:14:08,880 --> 00:14:13,520 Speaker 6: Yes, yes, And it was basically the US government alleges 247 00:14:13,559 --> 00:14:17,440 Speaker 6: that this with this initiative you know, hatched by the 248 00:14:17,520 --> 00:14:22,520 Speaker 6: Chinese Ministry of Public Security, so they were basically they're 249 00:14:22,560 --> 00:14:28,680 Speaker 6: also accused of even establishing a police and the legal 250 00:14:28,720 --> 00:14:34,880 Speaker 6: police station in New York to basically, uh, you know, 251 00:14:35,960 --> 00:14:39,960 Speaker 6: monitor people and and spy on them. And that was 252 00:14:40,080 --> 00:14:44,560 Speaker 6: according to direct case that was just filed in April. So, 253 00:14:44,800 --> 00:14:48,120 Speaker 6: I mean, the allegations that these people were even hired 254 00:14:50,000 --> 00:14:54,120 Speaker 6: a former cop who's not Asian to use his access 255 00:14:54,160 --> 00:14:58,200 Speaker 6: to law enforcement databases, it's shocking, you know that. 256 00:14:59,360 --> 00:15:01,560 Speaker 5: Right, And that's former cop that's Michael McMahon. 257 00:15:01,600 --> 00:15:03,920 Speaker 6: Correct, that's correct, that's correct. 258 00:15:04,200 --> 00:15:08,160 Speaker 3: So to what extent is this news that we're talking about, 259 00:15:08,440 --> 00:15:11,680 Speaker 3: Michael McMahon and the two other men convicted as agents 260 00:15:11,720 --> 00:15:14,360 Speaker 3: of China? How connected, if at all, is that to 261 00:15:14,680 --> 00:15:18,920 Speaker 3: the secret police station in New York City that others 262 00:15:18,920 --> 00:15:21,000 Speaker 3: were arrested Regarding. 263 00:15:21,160 --> 00:15:24,200 Speaker 6: Well, that case, it's an out growth. It's also brought 264 00:15:24,240 --> 00:15:27,960 Speaker 6: by several prosecutors in Brooklyn, and that case is basically 265 00:15:28,000 --> 00:15:30,920 Speaker 6: an iteration of the similar activity. If you want to 266 00:15:30,920 --> 00:15:35,920 Speaker 6: think about it, it's more possibly egregious activity, right, I 267 00:15:35,920 --> 00:15:37,840 Speaker 6: don't know which ones do you think is worse? Having 268 00:15:38,840 --> 00:15:43,040 Speaker 6: a private secret police station in Chinatown in Lower Manhattan 269 00:15:43,520 --> 00:15:48,480 Speaker 6: or having people travel around and show up on doorsteps. 270 00:15:48,520 --> 00:15:52,440 Speaker 6: The testimony in this case, this most recent case that 271 00:15:52,560 --> 00:15:54,440 Speaker 6: just got made, was they were showing up at the 272 00:15:54,440 --> 00:15:58,480 Speaker 6: doorstep of this man, his wife and his daughter in 273 00:15:58,520 --> 00:16:00,960 Speaker 6: New Jersey and showing up in the doorstep, and she 274 00:16:01,040 --> 00:16:04,240 Speaker 6: was getting their family was getting mail, and at one point, 275 00:16:04,400 --> 00:16:07,160 Speaker 6: one of the victims testify they got a letter that 276 00:16:07,280 --> 00:16:10,600 Speaker 6: was basically suggesting that they would be better off committing 277 00:16:10,640 --> 00:16:12,920 Speaker 6: suicide than staying in the US. 278 00:16:13,320 --> 00:16:16,960 Speaker 3: Oh my gosh, yeah, and talk to me about the victims, 279 00:16:17,000 --> 00:16:20,080 Speaker 3: then did they go to the police and did they 280 00:16:20,120 --> 00:16:22,440 Speaker 3: feel comfortable doing that? How did how did they kind 281 00:16:22,440 --> 00:16:23,160 Speaker 3: of come forward? 282 00:16:23,600 --> 00:16:27,400 Speaker 6: The evidence did so that even China caused an inner 283 00:16:27,480 --> 00:16:32,000 Speaker 6: Pole read notice to be filed with the International Police 284 00:16:32,040 --> 00:16:36,800 Speaker 6: Group that said complained about on behalf of China that 285 00:16:36,880 --> 00:16:40,280 Speaker 6: these three people were wanted by China. So if you 286 00:16:40,280 --> 00:16:43,440 Speaker 6: can imagine that your inner pol is looking for you, 287 00:16:43,520 --> 00:16:47,720 Speaker 6: but it's all cooked up, that's wild, you know, to 288 00:16:47,800 --> 00:16:56,120 Speaker 6: think eventually these the victims were reached, reached the law enforcement, 289 00:16:56,160 --> 00:16:59,880 Speaker 6: the allegations reached law enforcement, and there's been a couple 290 00:16:59,880 --> 00:17:02,120 Speaker 6: of cases you know, that have been brought by the 291 00:17:02,280 --> 00:17:05,760 Speaker 6: US government under the Trump started under the Trump ad 292 00:17:06,000 --> 00:17:11,240 Speaker 6: administration called the China Initiative, which is basically also brought 293 00:17:11,320 --> 00:17:17,440 Speaker 6: cases including alleging that the Chinese telecommunications giant called Huawei 294 00:17:17,480 --> 00:17:23,200 Speaker 6: Technologies was also spying, but that was corporate espionage basically. 295 00:17:23,320 --> 00:17:25,800 Speaker 6: So you know, it seems like all kinds of initiative. 296 00:17:25,880 --> 00:17:28,800 Speaker 6: Let's not just go after the Chinese people. We believe 297 00:17:28,840 --> 00:17:33,040 Speaker 6: our dissidents in the US running from controversy or is 298 00:17:33,119 --> 00:17:36,480 Speaker 6: trying to escape controversy or oppression in China, but also 299 00:17:36,680 --> 00:17:40,520 Speaker 6: let's operate in the US and spy on American technology. 300 00:17:41,000 --> 00:17:43,400 Speaker 6: So there's two cases that were brought, one of them 301 00:17:43,400 --> 00:17:45,679 Speaker 6: in Seattle and one of them in Federal court in 302 00:17:45,720 --> 00:17:49,119 Speaker 6: Brooklyn that's also pending as part of this China initiative. 303 00:17:49,600 --> 00:17:51,960 Speaker 6: So you know, it's some of the cases have been 304 00:17:52,200 --> 00:17:54,760 Speaker 6: very have been unsuccessful, and the US has had to 305 00:17:54,840 --> 00:18:01,119 Speaker 6: drop them. But you know, there's just seems like with 306 00:18:01,240 --> 00:18:05,000 Speaker 6: the current situation of the status of the US China relations, 307 00:18:05,240 --> 00:18:08,879 Speaker 6: which are chili you know, it has been frosty in 308 00:18:08,920 --> 00:18:13,359 Speaker 6: the past, and certainly the China Initiative was an outgrowth 309 00:18:13,359 --> 00:18:17,560 Speaker 6: of the Trump administrations that China was not to be trusted, right. 310 00:18:17,640 --> 00:18:20,480 Speaker 3: Well, you mentioned kind of the context here, and it's 311 00:18:20,840 --> 00:18:23,960 Speaker 3: so important to note this is coming after you know, 312 00:18:24,640 --> 00:18:28,560 Speaker 3: Blincoln has just been in Beijing and had a surprise 313 00:18:28,640 --> 00:18:32,640 Speaker 3: meeting with Chinese President Shiji Pain thirty five minute meeting 314 00:18:32,680 --> 00:18:35,000 Speaker 3: towards the end of his two day visit there, and 315 00:18:35,160 --> 00:18:39,639 Speaker 3: Chinese officials sort of blasting the US after that meeting, 316 00:18:39,760 --> 00:18:42,480 Speaker 3: kind of talking about the US tampering with its political 317 00:18:42,520 --> 00:18:47,720 Speaker 3: promises on Taiwan again after that meeting, So that context 318 00:18:47,720 --> 00:18:48,159 Speaker 3: is important. 319 00:18:48,160 --> 00:18:49,920 Speaker 5: And then of course from the Bloomberg side of things. 320 00:18:49,920 --> 00:18:53,040 Speaker 3: What we cover is the importance of the business impact 321 00:18:53,080 --> 00:18:55,840 Speaker 3: when it comes to things like semiconductors and the chips 322 00:18:55,920 --> 00:18:59,600 Speaker 3: race and the Chips war. Really, so that context is 323 00:18:59,760 --> 00:19:03,560 Speaker 3: just uh making these making these interactions between the US 324 00:19:03,600 --> 00:19:06,879 Speaker 3: and China even even more Chile as you mentioned, Patricia. 325 00:19:06,800 --> 00:19:09,120 Speaker 6: And you know, the one thing you can say is 326 00:19:09,160 --> 00:19:13,400 Speaker 6: that while this initiative was underway, there were a lot 327 00:19:13,440 --> 00:19:16,000 Speaker 6: of cases brought. And I think many of our readers 328 00:19:16,040 --> 00:19:19,720 Speaker 6: would remember that Menglan Huts she was the CFO of Huawei. 329 00:19:19,960 --> 00:19:23,160 Speaker 6: She's arrested at the request of the US on charges 330 00:19:23,200 --> 00:19:28,320 Speaker 6: in Vancouver, Canada, and she fought the case vehemently from 331 00:19:28,600 --> 00:19:31,360 Speaker 6: from the and was a Brooklyn federal case. So while 332 00:19:31,400 --> 00:19:34,479 Speaker 6: the case against the company still pending, she was allowed 333 00:19:34,520 --> 00:19:38,080 Speaker 6: to go home after in a plea deal. But in 334 00:19:38,240 --> 00:19:41,320 Speaker 6: meanwhile the China Initiative brought, and I should say the 335 00:19:41,400 --> 00:19:46,920 Speaker 6: China Initiative which was pretty you know, uh hard iron 336 00:19:47,040 --> 00:19:51,440 Speaker 6: fisted by the Trump administration. The DOJ now has scrapped 337 00:19:51,480 --> 00:19:56,280 Speaker 6: the China Initiative. Under the Biden administration, many people felt 338 00:19:56,359 --> 00:19:59,399 Speaker 6: that it was a little too hard, hard nosed on it. 339 00:19:59,560 --> 00:20:03,040 Speaker 3: So, yeah, lots to cover there. Patricia, thank you so 340 00:20:03,119 --> 00:20:04,800 Speaker 3: much for joining us and talking. 341 00:20:04,440 --> 00:20:06,040 Speaker 5: It all through. We really appreciate it. 342 00:20:06,080 --> 00:20:09,920 Speaker 3: That was Patricia Hurtado, our Bloomberg News reporter on this story. 343 00:20:10,200 --> 00:20:13,160 Speaker 3: Next up, we're talking AI regulations. To stick around. I'm 344 00:20:13,160 --> 00:20:15,320 Speaker 3: Madison Mills and this is Bloomberg. 345 00:20:21,640 --> 00:20:26,840 Speaker 1: You're listening to Bloomberg Law with June Grasso from Bloomberg Radio. 346 00:20:28,280 --> 00:20:31,080 Speaker 3: It wouldn't be a Bloomberg show without us talking about 347 00:20:31,160 --> 00:20:34,480 Speaker 3: artificial intelligence, and of course, with all the power of AI, 348 00:20:35,040 --> 00:20:37,880 Speaker 3: you could say that comes with great responsibility. That's one 349 00:20:37,880 --> 00:20:40,840 Speaker 3: reason we're hearing and seeing a lot of regulation questions 350 00:20:40,920 --> 00:20:43,800 Speaker 3: popping up in Congress to try and hedge against any 351 00:20:43,920 --> 00:20:47,119 Speaker 3: issues to come with AI. So here to discuss this 352 00:20:47,160 --> 00:20:50,919 Speaker 3: with us is Bloomberg Intelligence analyst Matthew Schuttenhelm. Thank you 353 00:20:50,960 --> 00:20:52,959 Speaker 3: so much for being with us. Matt really appreciate it. 354 00:20:53,280 --> 00:20:55,240 Speaker 3: I'm going to take a page out of Jay Powell's 355 00:20:55,240 --> 00:20:58,760 Speaker 3: book from his comments in Congress today. He talked about 356 00:20:58,760 --> 00:21:01,440 Speaker 3: how if you drive car, if you're driving somewhere, you 357 00:21:01,520 --> 00:21:04,399 Speaker 3: might start off really fast and slow down a little 358 00:21:04,400 --> 00:21:06,679 Speaker 3: bit once you're getting closer to your destination. 359 00:21:06,880 --> 00:21:07,880 Speaker 5: So not a big speeder. 360 00:21:07,960 --> 00:21:11,800 Speaker 3: J Powell when it comes to AI regulation, Are we 361 00:21:12,000 --> 00:21:14,080 Speaker 3: just leaving the house for the road trip or are 362 00:21:14,160 --> 00:21:16,000 Speaker 3: we Are we getting close to the destination? 363 00:21:16,280 --> 00:21:16,520 Speaker 6: Yeah? 364 00:21:16,600 --> 00:21:18,520 Speaker 8: I think we are. We're not even out of the 365 00:21:18,600 --> 00:21:22,480 Speaker 8: house yet. Yeah, yeah, we're starting to get ready. And 366 00:21:22,480 --> 00:21:25,080 Speaker 8: and you know, it's this is such a tough thing 367 00:21:25,160 --> 00:21:29,040 Speaker 8: for Congress to take on because it's it's so new, 368 00:21:29,320 --> 00:21:34,000 Speaker 8: and it's so technical, and and then it then once 369 00:21:34,200 --> 00:21:36,520 Speaker 8: you know, down the road, it starts to become more political. 370 00:21:36,600 --> 00:21:41,040 Speaker 8: So Congress has struggled so much to regulate big tech, 371 00:21:41,440 --> 00:21:45,280 Speaker 8: and now it has this whole new concept of this 372 00:21:45,359 --> 00:21:47,960 Speaker 8: whole new big thing that it wants to go after, 373 00:21:48,560 --> 00:21:52,000 Speaker 8: but it has very little concept right now of one 374 00:21:52,400 --> 00:21:56,560 Speaker 8: the technology and to the problems that might come up. 375 00:21:56,680 --> 00:22:01,399 Speaker 8: So so fashioning a regulatory regime to address that is 376 00:22:01,400 --> 00:22:04,000 Speaker 8: is just a daunting problem for for Congress. 377 00:22:04,359 --> 00:22:05,960 Speaker 5: And you mentioned big tech. 378 00:22:06,440 --> 00:22:11,000 Speaker 3: How unique is it that AI executives and officials, the 379 00:22:11,000 --> 00:22:13,639 Speaker 3: big movers in AI are kind of on board to 380 00:22:13,680 --> 00:22:16,560 Speaker 3: work with Congress as compared with the big tech thing. 381 00:22:16,560 --> 00:22:17,000 Speaker 4: That we saw. 382 00:22:17,200 --> 00:22:19,960 Speaker 8: Yeah, I mean, they've definitely been a lot of resistance 383 00:22:20,920 --> 00:22:24,040 Speaker 8: from big tech in terms of you know, resisting data 384 00:22:24,080 --> 00:22:26,840 Speaker 8: privacy regulation. But you've also seen like companies like like 385 00:22:27,000 --> 00:22:31,600 Speaker 8: Meta Facebook being you know, supportive of at least publicly, 386 00:22:31,800 --> 00:22:34,760 Speaker 8: and so that that we've often seen that distinction said okay, 387 00:22:35,080 --> 00:22:38,280 Speaker 8: regulate us, give us something, and even Congress couldn't, couldn't 388 00:22:38,320 --> 00:22:41,280 Speaker 8: do that. You're seeing that here as well, where where 389 00:22:41,280 --> 00:22:43,760 Speaker 8: the companies are are are coming in and saying, look, 390 00:22:44,480 --> 00:22:47,480 Speaker 8: we want to support, you know, a reasonable approach to 391 00:22:47,640 --> 00:22:51,879 Speaker 8: using this technology. You as lawmakers should impose something reasonable. 392 00:22:53,119 --> 00:22:56,920 Speaker 8: But then I think in behind the scenes, it's it's 393 00:22:56,920 --> 00:22:59,880 Speaker 8: often a different story when when when regulators are starting 394 00:22:59,920 --> 00:23:03,199 Speaker 8: to put together sort of aggressive regulation. I think you 395 00:23:03,320 --> 00:23:08,080 Speaker 8: see a different tone from the companies as that plays out. 396 00:23:08,640 --> 00:23:11,520 Speaker 3: So talk to me about what some of the proposed 397 00:23:11,600 --> 00:23:13,399 Speaker 3: legislation right now is looking like. 398 00:23:13,720 --> 00:23:16,679 Speaker 8: Yeah, so it's very early days right now, So I 399 00:23:16,680 --> 00:23:21,040 Speaker 8: think so far we've seen I think two bipartisan bills 400 00:23:21,040 --> 00:23:24,680 Speaker 8: introduced since the first hearing in the Senate last month, 401 00:23:24,800 --> 00:23:29,200 Speaker 8: and one of those has to deal with Section two thirty, 402 00:23:28,960 --> 00:23:33,119 Speaker 8: the liability shield that has been a big deal in 403 00:23:33,680 --> 00:23:38,720 Speaker 8: big tech in terms of shielding companies from lawsuits, and 404 00:23:39,520 --> 00:23:41,840 Speaker 8: lawmakers want to get out in front of that with 405 00:23:41,960 --> 00:23:45,639 Speaker 8: AI and say, look, we don't want this liability shield 406 00:23:45,680 --> 00:23:49,560 Speaker 8: to apply to AI. If people are harmed because of AI, 407 00:23:49,840 --> 00:23:53,160 Speaker 8: people should be able to sue over that. So that's 408 00:23:53,200 --> 00:23:55,400 Speaker 8: the first bill that's sort of out of the gate. 409 00:23:55,760 --> 00:23:57,760 Speaker 8: I don't know that that's a huge deal. I don't 410 00:23:57,800 --> 00:24:00,640 Speaker 8: know that the courts are you going to be jumping 411 00:24:00,640 --> 00:24:03,920 Speaker 8: into AI litigation really really fast, And even if they did, 412 00:24:03,960 --> 00:24:06,440 Speaker 8: I'm not sure Section two thirty would would be much 413 00:24:06,440 --> 00:24:08,240 Speaker 8: of a shield. I think there's a strong argument that 414 00:24:08,280 --> 00:24:11,640 Speaker 8: Section two thirty shouldn't apply to AI, even without Congress 415 00:24:11,680 --> 00:24:15,720 Speaker 8: saying that in new legislation. And then the second bill 416 00:24:15,920 --> 00:24:19,640 Speaker 8: that we're seeing right now is sort of I think 417 00:24:20,080 --> 00:24:22,760 Speaker 8: something that might catch on, and it's the idea of 418 00:24:22,800 --> 00:24:27,879 Speaker 8: proposing a commission of about twenty people from the industry, 419 00:24:29,440 --> 00:24:35,400 Speaker 8: from privacy groups and things like that to slow down 420 00:24:35,480 --> 00:24:38,600 Speaker 8: and take a look at this in a comprehensive manner 421 00:24:38,720 --> 00:24:42,159 Speaker 8: and issue a couple reports over the next two years 422 00:24:42,200 --> 00:24:45,480 Speaker 8: to say, Okay, what is it that AI can do, 423 00:24:46,240 --> 00:24:48,760 Speaker 8: what should we be concerned about, and how should we 424 00:24:48,760 --> 00:24:52,240 Speaker 8: think about regulating it? And as you think through the 425 00:24:52,359 --> 00:24:55,520 Speaker 8: difficulty of the problem, as we started talking about earlier, 426 00:24:56,000 --> 00:24:59,240 Speaker 8: that might be Congress's best chance is sort of let's 427 00:24:59,280 --> 00:25:02,560 Speaker 8: slow down, let's have some experts, you know, look at this, 428 00:25:03,000 --> 00:25:07,000 Speaker 8: and after that commission does its work over a year 429 00:25:07,119 --> 00:25:10,040 Speaker 8: or two, maybe Congress then is in a better position 430 00:25:10,200 --> 00:25:13,440 Speaker 8: to adopt real regulations of things that matter. 431 00:25:14,000 --> 00:25:16,959 Speaker 3: Talk to me about Section two thirty again. You mentioned 432 00:25:16,960 --> 00:25:18,880 Speaker 3: that AI maybe should not be. 433 00:25:18,880 --> 00:25:19,879 Speaker 5: Part of that. Why is that? 434 00:25:20,119 --> 00:25:23,560 Speaker 8: Yeah, so I think I think there's a pretty strong 435 00:25:23,760 --> 00:25:29,119 Speaker 8: argument that Section two thirty shouldn't apply to AI. Section 436 00:25:29,160 --> 00:25:33,679 Speaker 8: two thirty has played its most important role in saying 437 00:25:33,760 --> 00:25:37,720 Speaker 8: that when when a user posts something on social media, 438 00:25:37,840 --> 00:25:41,440 Speaker 8: the user is responsible for that post. You can't sue 439 00:25:42,000 --> 00:25:47,240 Speaker 8: Meta or Google because they hosted the content that I posted. 440 00:25:47,320 --> 00:25:49,480 Speaker 8: You know that was harmful, you can sue me. You 441 00:25:49,520 --> 00:25:54,240 Speaker 8: can't sue Meta or Google for that. And I think 442 00:25:55,119 --> 00:25:57,560 Speaker 8: in the AI context it's not as clear that that 443 00:25:57,600 --> 00:26:01,359 Speaker 8: would happen as often it's it's it's probably the case 444 00:26:01,359 --> 00:26:06,720 Speaker 8: where the AI is putting is the speaker more than 445 00:26:07,240 --> 00:26:10,679 Speaker 8: a third party. And so, especially with courts sort of 446 00:26:11,200 --> 00:26:14,359 Speaker 8: reluctant to expand Section two thirty, they's sort of a 447 00:26:14,400 --> 00:26:17,640 Speaker 8: trend against that. I tend to think that if these 448 00:26:17,720 --> 00:26:20,560 Speaker 8: cases start getting into the courts, the courts are going 449 00:26:20,640 --> 00:26:24,840 Speaker 8: to be skeptical about extending the liability shield to AI anyway, 450 00:26:24,880 --> 00:26:27,959 Speaker 8: and I think they're mostly going to hold the AI 451 00:26:28,119 --> 00:26:31,320 Speaker 8: companies responsible. That doesn't mean the AA companies would lose 452 00:26:31,480 --> 00:26:34,680 Speaker 8: those lawsuits. It just means they wouldn't have this extra 453 00:26:34,760 --> 00:26:37,800 Speaker 8: shield on top to throw out the lawsuits right out 454 00:26:37,800 --> 00:26:38,200 Speaker 8: of the gate. 455 00:26:38,480 --> 00:26:40,240 Speaker 5: Yeah, okay, that makes a lot of sense. 456 00:26:40,440 --> 00:26:44,280 Speaker 3: And then going over to like you mentioned the idea 457 00:26:44,280 --> 00:26:46,960 Speaker 3: of the National AI Commission Act and Congress kind of 458 00:26:46,960 --> 00:26:51,080 Speaker 3: bringing in twenty members to look at AI's risks. Just 459 00:26:51,119 --> 00:26:53,479 Speaker 3: a curveball question that occurred to me here is you know, 460 00:26:53,960 --> 00:26:56,399 Speaker 3: Congress got a lot of flak from inviting Sam Bankman 461 00:26:56,480 --> 00:26:59,920 Speaker 3: freed to DC to advise them on what cryptoregulation could 462 00:27:00,080 --> 00:27:02,560 Speaker 3: look like. Is there any potential threat of that or 463 00:27:02,600 --> 00:27:04,439 Speaker 3: would this be a little bit different? 464 00:27:04,560 --> 00:27:07,720 Speaker 8: Yeah, so I think, you know, it's it's a tough 465 00:27:07,720 --> 00:27:11,240 Speaker 8: one because I think the more that that Congress invites 466 00:27:11,359 --> 00:27:14,960 Speaker 8: industry in to be a part of this conversation about 467 00:27:15,000 --> 00:27:18,399 Speaker 8: regulation should look like, the more likely it's going to 468 00:27:19,000 --> 00:27:24,160 Speaker 8: result in regulation that isn't all that disruptive to the industry, 469 00:27:24,240 --> 00:27:28,200 Speaker 8: and so that and so it's it's this constant balance 470 00:27:28,720 --> 00:27:31,199 Speaker 8: that that Congress has to do because if it if 471 00:27:31,240 --> 00:27:34,160 Speaker 8: it ignores industry and says, well we got this, well 472 00:27:34,200 --> 00:27:36,600 Speaker 8: we'll go do the regulation ourselves. They don't know how to. 473 00:27:36,760 --> 00:27:39,399 Speaker 8: They don't they don't really understand the technology enough to 474 00:27:39,440 --> 00:27:42,480 Speaker 8: do it. So in my view, you know, you would 475 00:27:42,560 --> 00:27:45,720 Speaker 8: open yourself up to more criticism as if you do this, 476 00:27:45,920 --> 00:27:48,000 Speaker 8: But I think it might be the only way for 477 00:27:48,119 --> 00:27:51,399 Speaker 8: Congress to get itself up to speed on this technology. 478 00:27:51,480 --> 00:27:55,200 Speaker 8: Is is is at least in the preliminary stages, partnering 479 00:27:55,240 --> 00:27:59,040 Speaker 8: with industry to some extent and trying to understand both 480 00:27:59,119 --> 00:28:01,320 Speaker 8: you know, what what the good that can come of this, 481 00:28:01,480 --> 00:28:03,760 Speaker 8: but also what are the risks that they should be 482 00:28:03,760 --> 00:28:06,680 Speaker 8: thinking about. I think Congress really needs to slow down 483 00:28:06,760 --> 00:28:09,040 Speaker 8: and invite industry in to be a part of that conversation. 484 00:28:09,320 --> 00:28:12,000 Speaker 3: Yeah, it's such a good point because we've seen historically 485 00:28:12,080 --> 00:28:14,359 Speaker 3: that it can be difficult for Congress to get a 486 00:28:14,400 --> 00:28:15,120 Speaker 3: handle on some. 487 00:28:15,040 --> 00:28:17,520 Speaker 5: Of these absolutely these big tech shifts. 488 00:28:17,640 --> 00:28:20,880 Speaker 3: Yeah, I want to talk to you too about any 489 00:28:20,960 --> 00:28:24,560 Speaker 3: headwinds this could cause for AI growth because you do 490 00:28:24,600 --> 00:28:27,720 Speaker 3: sit on our Bloomberg Intelligence team as a litigation analyst. 491 00:28:28,400 --> 00:28:31,359 Speaker 3: Should investors be worried about DC moves. 492 00:28:31,880 --> 00:28:34,639 Speaker 8: You know, I really wouldn't be overly concerned. I think 493 00:28:34,760 --> 00:28:38,280 Speaker 8: this is going to be a hot topic for years 494 00:28:38,320 --> 00:28:40,600 Speaker 8: to come, I think, And so you're going to what 495 00:28:40,640 --> 00:28:45,280 Speaker 8: you're going to see is the constant barrage of headlines about, 496 00:28:45,560 --> 00:28:49,280 Speaker 8: you know, what does this technology do and what should 497 00:28:49,280 --> 00:28:52,240 Speaker 8: we be doing about it? And so we are literally 498 00:28:52,440 --> 00:28:56,080 Speaker 8: one hearing in on Capitol Hill on this, you know, 499 00:28:56,200 --> 00:28:59,160 Speaker 8: and there's going to be I think multiple This is 500 00:28:59,200 --> 00:29:02,760 Speaker 8: going to be a regular part of the conversation and 501 00:29:02,920 --> 00:29:05,920 Speaker 8: that's not going to go away anytime soon. But what 502 00:29:05,960 --> 00:29:09,080 Speaker 8: we've seen from the big tech effort, you know, the 503 00:29:09,120 --> 00:29:14,000 Speaker 8: effort to impose data privacy legislation, and how that's just failed. 504 00:29:14,160 --> 00:29:17,880 Speaker 8: And it's just very hard for Congress right now to 505 00:29:18,320 --> 00:29:22,360 Speaker 8: reach consensus on this stuff. And Europe's moving ahead, and 506 00:29:22,520 --> 00:29:24,600 Speaker 8: I think, you know, I think Europe's likely to move 507 00:29:24,960 --> 00:29:28,520 Speaker 8: first on some of this stuff and and and the US, 508 00:29:28,560 --> 00:29:32,320 Speaker 8: just like on on on GDPR and and and data privacy. 509 00:29:32,400 --> 00:29:34,320 Speaker 8: I think the US is probably going to be playing 510 00:29:34,400 --> 00:29:37,280 Speaker 8: catch up a little bit there as Europe moves ahead. 511 00:29:37,640 --> 00:29:41,680 Speaker 8: But in my view, just the difficulty of getting your 512 00:29:41,720 --> 00:29:44,600 Speaker 8: head around this technology and the problems and then the 513 00:29:44,640 --> 00:29:48,720 Speaker 8: politics overlaid on top of that. It's difficult to see 514 00:29:49,080 --> 00:29:52,880 Speaker 8: Congress doing anything that would be really materially disruptive, and 515 00:29:52,920 --> 00:29:56,680 Speaker 8: in part because they don't want to thwart this technology, 516 00:29:56,920 --> 00:29:58,520 Speaker 8: you know, and drive it elsewhere. 517 00:29:58,680 --> 00:30:00,200 Speaker 5: Right right, It's a really good point. 518 00:30:00,520 --> 00:30:04,000 Speaker 3: Matt Shuttenhelm, Bloomberg Intelligence litigation analyst, thank you so much 519 00:30:04,000 --> 00:30:07,200 Speaker 3: for joining us. Really important points there on the challenges 520 00:30:07,480 --> 00:30:11,000 Speaker 3: and opportunities perhaps that come with regulating AI. But makes 521 00:30:11,040 --> 00:30:13,160 Speaker 3: a lot of sense that Congress would not want to 522 00:30:13,160 --> 00:30:13,880 Speaker 3: move too quickly. 523 00:30:13,920 --> 00:30:14,120 Speaker 6: There. 524 00:30:14,360 --> 00:30:16,840 Speaker 5: I'm Madison Mills, and this is Bloomberg. 525 00:30:24,440 --> 00:30:29,640 Speaker 1: You're listening to Bloomberg Law with June Grasso from Bloomberg Radio. 526 00:30:31,240 --> 00:30:33,520 Speaker 3: All right, we got to move over to Seattle now 527 00:30:33,560 --> 00:30:37,400 Speaker 3: to talk about Amazon, because the FTC suing Amazon for 528 00:30:37,480 --> 00:30:40,920 Speaker 3: making it difficult to cancel those Amazon Prime accounts. If 529 00:30:40,920 --> 00:30:42,560 Speaker 3: you're like me, you got that account when you were 530 00:30:42,600 --> 00:30:45,400 Speaker 3: in college and have had it ever since. So here 531 00:30:45,400 --> 00:30:48,800 Speaker 3: to discuss the situation with US is Spencer Sober. He is, 532 00:30:48,880 --> 00:30:53,640 Speaker 3: of course, our Amazon eBay expert based in Seattle for US. Spencer, 533 00:30:53,680 --> 00:30:56,320 Speaker 3: thanks for hopping on the call. Talk me through this 534 00:30:56,440 --> 00:30:57,760 Speaker 3: latest news from the FTC. 535 00:31:00,080 --> 00:31:02,320 Speaker 7: The FTC more broadly, is just trying to crack down 536 00:31:02,360 --> 00:31:05,280 Speaker 7: in general on any of these kind of online subscriptions. 537 00:31:05,640 --> 00:31:07,840 Speaker 7: You know, there's people get them for meals, for a 538 00:31:07,880 --> 00:31:11,960 Speaker 7: variety of things, for movie tickets, and of course Amazon Prime, 539 00:31:12,000 --> 00:31:14,560 Speaker 7: which people pay you know, one hundred and thirty nine 540 00:31:14,600 --> 00:31:17,080 Speaker 7: dollars a year poor or fifteen dollars a month for 541 00:31:18,480 --> 00:31:21,720 Speaker 7: and so what basically the gist of it is it 542 00:31:21,720 --> 00:31:24,520 Speaker 7: should be as easy to cancel one of these things 543 00:31:24,560 --> 00:31:27,200 Speaker 7: as it is to sign up, and there's often a 544 00:31:27,280 --> 00:31:30,520 Speaker 7: pretty significant difference. You know, Amazon makes it very simple 545 00:31:30,840 --> 00:31:32,920 Speaker 7: to sign up for Prime. If you're not a Prime 546 00:31:32,920 --> 00:31:34,920 Speaker 7: member and you're shopping on the site, they've bombarred you 547 00:31:35,000 --> 00:31:37,680 Speaker 7: with suggestions would you like to join Prime and get 548 00:31:37,680 --> 00:31:40,040 Speaker 7: free shipping and this and that and highlight all of 549 00:31:40,080 --> 00:31:42,160 Speaker 7: the benefits. But then if you decide you no longer 550 00:31:42,200 --> 00:31:44,920 Speaker 7: want it, they send you into what's internally called like 551 00:31:44,960 --> 00:31:48,800 Speaker 7: this iliad loop, you know, which refers to this Greek 552 00:31:48,880 --> 00:31:52,080 Speaker 7: poem of the you know, the saga along the Trojan War, 553 00:31:52,280 --> 00:31:54,480 Speaker 7: you know, and you have to go through screen after 554 00:31:54,520 --> 00:31:57,560 Speaker 7: screen after screen trying to trying to cancel your membership. 555 00:31:57,960 --> 00:31:59,720 Speaker 7: And so you know, this is part of a broader 556 00:31:59,800 --> 00:32:04,160 Speaker 7: cre down around those practices, both a very high profile company. 557 00:32:04,280 --> 00:32:07,080 Speaker 3: Yeah, you never want your Amazon shopping experience to be 558 00:32:07,160 --> 00:32:09,960 Speaker 3: remniscent of the Trojan war. I doubt that that's in 559 00:32:10,000 --> 00:32:11,720 Speaker 3: the best interest of Amazon. 560 00:32:11,800 --> 00:32:13,320 Speaker 5: Here, talk me through. 561 00:32:13,520 --> 00:32:17,280 Speaker 3: This isn't the only FTC suit against Amazon, right now, 562 00:32:17,320 --> 00:32:18,480 Speaker 3: talk me through some of the others. 563 00:32:19,720 --> 00:32:23,760 Speaker 7: Well, the FTC has been looking very broadly, cast a 564 00:32:23,840 --> 00:32:28,200 Speaker 7: really wide net around all of the big tech companies, 565 00:32:28,240 --> 00:32:32,960 Speaker 7: you know, Amazon, Google, Apple, Facebook in Amazon in particular. 566 00:32:33,040 --> 00:32:37,440 Speaker 7: Things that they've been looking at is, you know, are 567 00:32:37,440 --> 00:32:39,480 Speaker 7: they a monopoly you know, if you just you know, 568 00:32:39,560 --> 00:32:43,800 Speaker 7: are they causing consumer harm by having too much control 569 00:32:43,840 --> 00:32:46,600 Speaker 7: over online shopping in the in the US? And then 570 00:32:46,680 --> 00:32:50,640 Speaker 7: other things like is Amazon Web Services monopoly? You know, 571 00:32:50,640 --> 00:32:55,920 Speaker 7: their cloud computing division. Do they squeeze their merchants? There's 572 00:32:55,960 --> 00:32:58,720 Speaker 7: about two million merchants that sell things on Amazon. Are 573 00:32:58,720 --> 00:33:03,040 Speaker 7: they squeezing them on fairly or using coercive tactics? So 574 00:33:03,040 --> 00:33:06,200 Speaker 7: they're really looking at Amazon in a variety of ways. 575 00:33:06,320 --> 00:33:08,960 Speaker 3: Yeah, So where does this leave Amazon in terms of 576 00:33:08,960 --> 00:33:10,760 Speaker 3: what they need to do next? 577 00:33:10,800 --> 00:33:11,080 Speaker 5: Here? 578 00:33:11,240 --> 00:33:16,080 Speaker 3: Because Amazon already changed its process for canceling prime subscriptions, right, 579 00:33:16,160 --> 00:33:18,640 Speaker 3: So do. They just need to keep making changes to 580 00:33:18,760 --> 00:33:22,000 Speaker 3: try and sort of pre adjust before any other issues 581 00:33:22,040 --> 00:33:25,000 Speaker 3: come up from the FTC. What's their standing right now. 582 00:33:26,240 --> 00:33:28,560 Speaker 7: Yeah, they did a few months ago change the site 583 00:33:28,600 --> 00:33:30,920 Speaker 7: to try to simplify it, and this was while the 584 00:33:31,000 --> 00:33:35,640 Speaker 7: FTC investigation was going on. They were also they also 585 00:33:35,720 --> 00:33:39,040 Speaker 7: faced action in the European Union for similar issue. So 586 00:33:39,080 --> 00:33:41,640 Speaker 7: the European Union is generally a little bit ahead of 587 00:33:41,680 --> 00:33:44,160 Speaker 7: the US in terms of cracking down on this kind 588 00:33:44,160 --> 00:33:46,200 Speaker 7: of stuff. So yeah, they're going to try to tweak it. 589 00:33:46,360 --> 00:33:48,880 Speaker 7: I mentioned with Amazon, they generally want to do just 590 00:33:49,040 --> 00:33:51,720 Speaker 7: enough and not anymore to keep the regulators at day. 591 00:33:52,160 --> 00:33:54,200 Speaker 7: You know, we could see some kind of fine or 592 00:33:54,240 --> 00:33:57,280 Speaker 7: settlement with the FTC where they make a payment, and 593 00:33:57,320 --> 00:34:01,440 Speaker 7: it could even involve some sort of marginal rebate to consumers. 594 00:34:01,440 --> 00:34:03,040 Speaker 7: You know. I mean it's like two thirds of US 595 00:34:03,080 --> 00:34:07,680 Speaker 7: households belong to Amazon Prime, so they even if they 596 00:34:07,680 --> 00:34:10,920 Speaker 7: did have some you know, staggering figure as a settlement, 597 00:34:11,239 --> 00:34:13,400 Speaker 7: you know, every US consumer is going to maybe get 598 00:34:13,440 --> 00:34:14,120 Speaker 7: a book or two. 599 00:34:14,680 --> 00:34:18,440 Speaker 3: Yeah, final thirty seconds here, Spencer. We've been talking a 600 00:34:18,480 --> 00:34:20,680 Speaker 3: lot about subscriptions and the impact that they have on 601 00:34:20,719 --> 00:34:24,440 Speaker 3: the stock price of these companies, particularly Netflix, coming to mind. 602 00:34:25,000 --> 00:34:28,280 Speaker 3: Any chance of news like this impacting Amazon's share price 603 00:34:28,440 --> 00:34:29,400 Speaker 3: or not so much. 604 00:34:30,400 --> 00:34:34,279 Speaker 7: It doesn't seem to have affected it. I mean, the 605 00:34:34,320 --> 00:34:37,200 Speaker 7: bottom line is that it's very popular. And I've been 606 00:34:37,200 --> 00:34:39,160 Speaker 7: covering Amazon a long time and I've rarely heard this 607 00:34:39,239 --> 00:34:43,080 Speaker 7: complaint from consumers. They have a very high customer retention rate. 608 00:34:43,120 --> 00:34:45,719 Speaker 7: A few people, I think, try to cancel because they're 609 00:34:45,719 --> 00:34:49,000 Speaker 7: satisfied with the membership. It's something like more than ninety 610 00:34:49,000 --> 00:34:51,560 Speaker 7: percent of all customers who try a free trial membership 611 00:34:51,920 --> 00:34:53,080 Speaker 7: stay with it. There you go. 612 00:34:53,200 --> 00:34:55,480 Speaker 3: All right, Spencer, thank you so much for joining us 613 00:34:55,480 --> 00:34:58,880 Speaker 3: and coming on to talk about the FTC lawsuit against Amazon. 614 00:34:58,920 --> 00:35:01,280 Speaker 5: We really appreciate. Again. 615 00:35:01,480 --> 00:35:03,839 Speaker 3: Really interesting to note because I mean, like Spencer was saying, 616 00:35:03,840 --> 00:35:06,279 Speaker 3: I've never tried to cancel my Amazon membership, but some 617 00:35:06,320 --> 00:35:08,560 Speaker 3: people do. All right, this is Bloomberg Law. 618 00:35:08,600 --> 00:35:10,480 Speaker 5: I'm Madison Mills, and this is Bloomberg