1 00:00:00,080 --> 00:00:10,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,119 --> 00:00:13,880 Speaker 1: Bloomberg Balance of Power podcast. Catch us live weekdays at 3 00:00:13,920 --> 00:00:17,119 Speaker 1: noon and five pm Eastern on Apple Coarclay and Android 4 00:00:17,160 --> 00:00:20,520 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:20,600 --> 00:00:24,480 Speaker 1: you get your podcasts, or watch us live on YouTube. 6 00:00:25,320 --> 00:00:28,440 Speaker 2: Pretty good day for some golf, certainly if you're in Miami. 7 00:00:29,640 --> 00:00:33,440 Speaker 2: Happening at the Trump National Doral, Miami. The House Republican 8 00:00:33,560 --> 00:00:39,239 Speaker 2: conference on the ground Kumbai Yah, and yes, golfing to 9 00:00:39,280 --> 00:00:41,440 Speaker 2: start things off today. We expect that we will hear 10 00:00:41,479 --> 00:00:43,920 Speaker 2: from House Speaker Mike Johnson a little bit later on 11 00:00:43,960 --> 00:00:45,560 Speaker 2: three o'clock three thirty is going to have a news 12 00:00:45,600 --> 00:00:49,159 Speaker 2: conference at Dorral, the official proceedings get rolling a closed 13 00:00:49,240 --> 00:00:53,160 Speaker 2: door event with the Boss himself, Donald Trump, of course 14 00:00:53,200 --> 00:00:56,360 Speaker 2: at Dorrel about an hour's drive. I read south of 15 00:00:56,400 --> 00:00:59,680 Speaker 2: mar A Lago. But boy, what a weekend it was. 16 00:01:00,040 --> 00:01:02,120 Speaker 2: We try to unpack all of this. Donald Trump fresh 17 00:01:02,160 --> 00:01:04,440 Speaker 2: off Las Vegas. Did you see him at the craps table. 18 00:01:04,720 --> 00:01:07,920 Speaker 2: He's in Las Vegas to rally the troops as if 19 00:01:07,959 --> 00:01:11,160 Speaker 2: he were still in the campaign. And yeah, he did 20 00:01:11,240 --> 00:01:14,360 Speaker 2: show up at a casino talked about the no taxes 21 00:01:14,400 --> 00:01:16,840 Speaker 2: on tips. That's where this whole thing was born. Right 22 00:01:16,840 --> 00:01:18,120 Speaker 2: here's Donald Trump in Vegas. 23 00:01:19,520 --> 00:01:22,000 Speaker 3: I'll be working with Congress to get a bill on 24 00:01:22,080 --> 00:01:25,280 Speaker 3: my desk that cuts taxes for workers, family, small businesses, 25 00:01:25,280 --> 00:01:29,720 Speaker 3: said very importantly, keeps my promise for a thing. 26 00:01:29,800 --> 00:01:31,959 Speaker 4: Cook And I know you didn't hear anything. 27 00:01:31,640 --> 00:01:34,920 Speaker 2: About this, and I'm sure it had no influence on 28 00:01:34,959 --> 00:01:35,399 Speaker 2: the state. 29 00:01:35,480 --> 00:01:36,759 Speaker 4: But I'm sure you haven't heard. 30 00:01:37,240 --> 00:01:40,120 Speaker 2: But we're going to get it for you. No tax on, 31 00:01:42,040 --> 00:01:45,640 Speaker 2: no tax subcack of it. They loved it so much. 32 00:01:45,720 --> 00:01:48,840 Speaker 2: Remember even Kamala Harris picked that one up. And it 33 00:01:48,880 --> 00:01:52,920 Speaker 2: is potentially complicating matters for those lawmakers who are tasked 34 00:01:52,920 --> 00:01:57,240 Speaker 2: with extending the Trump tax cuts. This is just scratching 35 00:01:57,280 --> 00:01:59,520 Speaker 2: the surface on what we need to cover. With Laura Davison, 36 00:01:59,560 --> 00:02:01,600 Speaker 2: she's with us now, off a very busy weekend. Great 37 00:02:01,600 --> 00:02:03,800 Speaker 2: to see you. Your team must be breathless here. We 38 00:02:03,840 --> 00:02:05,400 Speaker 2: all said the same thing at the end of last week. 39 00:02:05,440 --> 00:02:07,360 Speaker 2: Are we going to this is the new normal again? 40 00:02:07,400 --> 00:02:08,320 Speaker 2: We're going to do this every week. 41 00:02:08,360 --> 00:02:11,040 Speaker 5: There is no slowing down, just to keep them tablism high, 42 00:02:11,040 --> 00:02:11,960 Speaker 5: and it'll keep flowing. 43 00:02:12,080 --> 00:02:12,240 Speaker 6: Well. 44 00:02:12,280 --> 00:02:15,680 Speaker 2: So the arc of the weekend was incredible. It started 45 00:02:15,720 --> 00:02:19,040 Speaker 2: with what they're calling the Friday Night massacre parkening back 46 00:02:19,080 --> 00:02:22,760 Speaker 2: to Richard Nixon, Donald Trump firing the inspectors general. This 47 00:02:22,800 --> 00:02:27,400 Speaker 2: is a long list at the Departments of Defense, State, Transportation, Veterans, Affairs, 48 00:02:27,440 --> 00:02:31,280 Speaker 2: Housing and Urban Development, Interior, Energy, Commerce, and Agriculture, as 49 00:02:31,320 --> 00:02:35,799 Speaker 2: well as the EPA, the SBA, and the Social Security Administration. 50 00:02:36,400 --> 00:02:40,960 Speaker 2: That's a pretty broad swath of government. What's the point, 51 00:02:41,080 --> 00:02:42,040 Speaker 2: Why what is he doing here? 52 00:02:42,080 --> 00:02:44,160 Speaker 5: And I'll note this also includes some people that he 53 00:02:44,639 --> 00:02:46,920 Speaker 5: appointed to these positions when he was in office, But 54 00:02:47,160 --> 00:02:50,679 Speaker 5: the inspector general, these are really the people. They're typically 55 00:02:50,720 --> 00:02:53,200 Speaker 5: not well liked within their agency because they're the auditors 56 00:02:53,400 --> 00:02:57,040 Speaker 5: that are looking to, you know, find holes an efficiency, 57 00:02:57,760 --> 00:03:00,440 Speaker 5: you know, where things programs that aren't effective, where there 58 00:03:00,440 --> 00:03:02,880 Speaker 5: may be gaps in funding and that the money's not 59 00:03:02,880 --> 00:03:03,640 Speaker 5: being wisely spent. 60 00:03:03,960 --> 00:03:05,560 Speaker 7: Although this is an interesting. 61 00:03:05,200 --> 00:03:07,959 Speaker 5: Move for you know, someone who has had Elon Musk 62 00:03:08,000 --> 00:03:09,919 Speaker 5: at his right hand side saying he wants to root out, 63 00:03:10,360 --> 00:03:12,120 Speaker 5: you know, wasteful spending and all these things, it's the 64 00:03:12,160 --> 00:03:14,440 Speaker 5: igs who actually go and find all of that. 65 00:03:14,440 --> 00:03:16,480 Speaker 7: That would be sort of list number one and where 66 00:03:16,480 --> 00:03:16,920 Speaker 7: you want to go. 67 00:03:16,960 --> 00:03:18,840 Speaker 5: But this is clear that he wants to have all 68 00:03:18,880 --> 00:03:21,200 Speaker 5: the people who are you know, doing this kind of 69 00:03:21,200 --> 00:03:24,400 Speaker 5: work be loyalist, be in locksed up with him. This 70 00:03:24,480 --> 00:03:26,280 Speaker 5: he said, this was something that normally happens. I'll just 71 00:03:26,320 --> 00:03:28,639 Speaker 5: know that this is not a normal thing. Generally, these 72 00:03:28,639 --> 00:03:31,400 Speaker 5: people span administrations and do not you know, do not 73 00:03:31,440 --> 00:03:31,840 Speaker 5: come and go. 74 00:03:31,919 --> 00:03:33,720 Speaker 2: So this is the so called deep state. I guess 75 00:03:33,720 --> 00:03:35,240 Speaker 2: he's trying to get out to your point though, these 76 00:03:35,240 --> 00:03:37,520 Speaker 2: are some of his own appointees, and he failed to 77 00:03:38,120 --> 00:03:40,000 Speaker 2: notify Congress. You have to give him thirty days or 78 00:03:40,040 --> 00:03:41,960 Speaker 2: something on that. Does that matter or does nothing matter? 79 00:03:42,640 --> 00:03:42,800 Speaker 8: You know? 80 00:03:42,880 --> 00:03:45,160 Speaker 5: And with all of these, you know, there are already 81 00:03:45,160 --> 00:03:47,280 Speaker 5: been some questions raised about you know, the legality of this. 82 00:03:47,360 --> 00:03:48,360 Speaker 7: Could this be challenged? 83 00:03:49,040 --> 00:03:50,920 Speaker 5: But you know, with the fire hose of everything that's 84 00:03:50,960 --> 00:03:53,040 Speaker 5: coming in, you know that both the administration as well 85 00:03:53,040 --> 00:03:55,240 Speaker 5: as sort of folks who are filing lawsuits challenging some 86 00:03:55,280 --> 00:03:57,720 Speaker 5: of these moves, they have to prioritize. They can't fight 87 00:03:57,760 --> 00:03:58,640 Speaker 5: everything tooth and nail. 88 00:03:58,840 --> 00:04:00,840 Speaker 2: Okay, So we move on to the law loyalty tests 89 00:04:00,960 --> 00:04:04,160 Speaker 2: also happening now about one hundred and sixty staffers from 90 00:04:04,240 --> 00:04:08,480 Speaker 2: the National Security Council were sent home and they're calming 91 00:04:08,560 --> 00:04:12,560 Speaker 2: through I guess their social media prior statements. What are 92 00:04:12,560 --> 00:04:13,080 Speaker 2: they looking for? 93 00:04:13,440 --> 00:04:16,040 Speaker 5: Basically looking for anyone who may have criticized Donald Trump 94 00:04:16,360 --> 00:04:18,560 Speaker 5: a job and they are likely out of the job. 95 00:04:18,600 --> 00:04:20,119 Speaker 7: I mean, these are folks, These are civil servants. 96 00:04:20,160 --> 00:04:21,760 Speaker 5: These are not political folks, even though they work for 97 00:04:21,760 --> 00:04:24,640 Speaker 5: the National Security Council. They were sent home on Wednesday. 98 00:04:24,880 --> 00:04:26,960 Speaker 5: They still have their things and their desks in the 99 00:04:27,000 --> 00:04:30,080 Speaker 5: White House, but they were basically informed that they would 100 00:04:30,080 --> 00:04:33,560 Speaker 5: be believing had their email access access cut off, you know, 101 00:04:33,600 --> 00:04:36,560 Speaker 5: immediately escorted out of the building. They now essentially to 102 00:04:36,640 --> 00:04:38,120 Speaker 5: come back when they when they go to pick up 103 00:04:38,120 --> 00:04:39,400 Speaker 5: their stuff. You know, most of them are assuming that 104 00:04:39,400 --> 00:04:42,679 Speaker 5: they will not be coming back. Employed. They are escorted 105 00:04:42,720 --> 00:04:44,280 Speaker 5: full time. It is harder for them to get on 106 00:04:44,279 --> 00:04:46,280 Speaker 5: the White House campus than it is for a foreign national. 107 00:04:46,520 --> 00:04:49,839 Speaker 2: Wow, this is you know, and by the one of 108 00:04:49,839 --> 00:04:55,719 Speaker 2: the most high profile firings the Coastguard commandant. This is 109 00:04:56,000 --> 00:04:59,040 Speaker 2: or was Admiral Linda Fagan, the first woman to lead 110 00:04:59,080 --> 00:05:01,040 Speaker 2: a branch of the UA military. Is that a good 111 00:05:01,080 --> 00:05:02,719 Speaker 2: look for the administration. 112 00:05:02,640 --> 00:05:07,400 Speaker 5: Not particularly I don't know exactly on the reasons behind 113 00:05:07,400 --> 00:05:09,479 Speaker 5: this one. But this is kind of what you see 114 00:05:09,839 --> 00:05:11,720 Speaker 5: you know, Trump doing. You know, he wait wait until 115 00:05:11,720 --> 00:05:13,560 Speaker 5: Friday night to announce a lot of these and these 116 00:05:13,560 --> 00:05:16,839 Speaker 5: were so this is he is clearly looking at, you know, 117 00:05:16,920 --> 00:05:19,320 Speaker 5: both the federal workforce as well sort of this upper 118 00:05:19,320 --> 00:05:21,800 Speaker 5: echelon of management and people he wants to install his 119 00:05:21,839 --> 00:05:23,719 Speaker 5: own people or you know, force people to leave. 120 00:05:24,240 --> 00:05:28,960 Speaker 2: Amazing accused of an excessive focus on DEI at the 121 00:05:28,960 --> 00:05:32,880 Speaker 2: Coast Guard Academy. Your point is you're probably not going 122 00:05:32,960 --> 00:05:35,680 Speaker 2: to survive the scrub. If you've got shown the door 123 00:05:35,720 --> 00:05:37,800 Speaker 2: for a loyalty test, you're probably not coming back. 124 00:05:38,120 --> 00:05:41,000 Speaker 5: That's very i mean very very likely, you know, and 125 00:05:41,240 --> 00:05:42,960 Speaker 5: a lot of times they already have people who they 126 00:05:43,080 --> 00:05:45,600 Speaker 5: sort of identified to fill some of these backfiells on 127 00:05:45,640 --> 00:05:47,239 Speaker 5: the lease slots. You know, I'll know that the Trump 128 00:05:47,480 --> 00:05:49,840 Speaker 5: incoming Trump team is way more organized than they were 129 00:05:49,880 --> 00:05:50,440 Speaker 5: the last time. 130 00:05:50,480 --> 00:05:52,400 Speaker 7: There's still you know, been a lot of the kind 131 00:05:52,400 --> 00:05:53,039 Speaker 7: of that first week. 132 00:05:53,080 --> 00:05:54,680 Speaker 5: You know, a lot of staffers didn't have emails, so 133 00:05:54,680 --> 00:05:56,839 Speaker 5: there's a lot of confusion as to exactly what's happening. 134 00:05:57,080 --> 00:05:58,960 Speaker 5: But there is a plan and kind of you know, 135 00:05:59,040 --> 00:06:02,000 Speaker 5: as as more people get appointed, get their Senate confirmation. 136 00:06:02,520 --> 00:06:05,080 Speaker 5: These are kind of being triggled down throughout the reverr. 137 00:06:04,920 --> 00:06:07,480 Speaker 2: This place well with Trump supporters though right Drain the swamp. 138 00:06:07,520 --> 00:06:08,279 Speaker 2: That's what it looks like. 139 00:06:08,560 --> 00:06:09,120 Speaker 7: Absolutely. 140 00:06:09,120 --> 00:06:11,520 Speaker 5: The real question, though, is if you suddenly start cutting 141 00:06:11,560 --> 00:06:14,560 Speaker 5: programs for things like food stamps or certain farm aid 142 00:06:14,600 --> 00:06:16,440 Speaker 5: programs or things that affect. 143 00:06:16,080 --> 00:06:17,400 Speaker 2: People, bump into somebody, you know. 144 00:06:17,440 --> 00:06:18,320 Speaker 7: Out in the community. 145 00:06:18,440 --> 00:06:20,640 Speaker 5: That's when people might sort of realize, oh, I was 146 00:06:20,680 --> 00:06:23,000 Speaker 5: counting on that subsidy, or I was counting on that payment. 147 00:06:23,600 --> 00:06:26,400 Speaker 5: And you know, there's a constituency for essentially every program 148 00:06:26,440 --> 00:06:27,200 Speaker 5: in the federal government. 149 00:06:27,200 --> 00:06:28,120 Speaker 7: That's why it exists. 150 00:06:28,400 --> 00:06:30,120 Speaker 5: And you know when you start cutting things, that's when 151 00:06:30,160 --> 00:06:30,960 Speaker 5: the rubber meets the road. 152 00:06:31,040 --> 00:06:33,440 Speaker 2: As we spend time with Laura Davison here on Balance 153 00:06:33,440 --> 00:06:35,640 Speaker 2: of Power, we almost had a trade war yesterday. Who 154 00:06:35,680 --> 00:06:37,360 Speaker 2: lasted for a couple hours. Maybe we did have a 155 00:06:37,400 --> 00:06:39,080 Speaker 2: trade war. Maybe it was the shortest trade war of 156 00:06:39,120 --> 00:06:43,440 Speaker 2: all time, Columbia. We stepped back from the brink. I 157 00:06:43,520 --> 00:06:47,560 Speaker 2: saw an email go out around eleven o'clock last night. 158 00:06:48,320 --> 00:06:51,400 Speaker 2: They got this done in time for business on Monday. 159 00:06:51,839 --> 00:06:54,920 Speaker 2: What started this to bring Donald Trump to threaten to 160 00:06:55,000 --> 00:06:58,560 Speaker 2: twenty five percent tariff against Columbia because they've been intercepting 161 00:06:58,600 --> 00:07:01,400 Speaker 2: these flights of my from the US and that seemed 162 00:07:01,440 --> 00:07:02,840 Speaker 2: to be working well until now this. 163 00:07:02,920 --> 00:07:05,599 Speaker 5: Yeah, so the Columbia government said that they would not 164 00:07:05,640 --> 00:07:08,320 Speaker 5: accept this military plane that was coming with migrants, and 165 00:07:08,320 --> 00:07:10,400 Speaker 5: they were both shackled at their ankles as well. 166 00:07:10,320 --> 00:07:13,480 Speaker 7: As handcuffed on their hands, and they really objected. 167 00:07:12,960 --> 00:07:15,120 Speaker 2: To the fact that it was military. 168 00:07:14,760 --> 00:07:16,760 Speaker 7: Was the and it was sort of a confluence of 169 00:07:17,000 --> 00:07:17,520 Speaker 7: the military. 170 00:07:17,520 --> 00:07:19,360 Speaker 5: They also in some of the statements that came out later, 171 00:07:19,360 --> 00:07:21,040 Speaker 5: it was clear that they were concerned about sort of 172 00:07:21,280 --> 00:07:24,680 Speaker 5: dignity human rights around the treatment of their own citizens 173 00:07:24,720 --> 00:07:27,520 Speaker 5: coming back. So that was sort of the points of 174 00:07:27,560 --> 00:07:30,920 Speaker 5: negotiation throughout the day. But this is really going to 175 00:07:30,920 --> 00:07:34,400 Speaker 5: be instructive on how Trump is thinking about tariffs. He said, look, 176 00:07:34,680 --> 00:07:36,040 Speaker 5: you know, this country did this thing. 177 00:07:36,320 --> 00:07:36,800 Speaker 7: I didn't like. 178 00:07:36,840 --> 00:07:38,880 Speaker 5: They refused these flights that I want to go. So 179 00:07:39,040 --> 00:07:41,360 Speaker 5: I'm going to come out and announce a tariff, you know, 180 00:07:41,640 --> 00:07:45,000 Speaker 5: effective immediately twenty five percent, and out additional sanctions and 181 00:07:45,040 --> 00:07:47,200 Speaker 5: travel restrictions for the country's diplomats. 182 00:07:47,560 --> 00:07:48,920 Speaker 7: And then Columbia was. 183 00:07:48,840 --> 00:07:51,120 Speaker 5: Forced to immediately respond because a twenty five percent tariff 184 00:07:51,120 --> 00:07:53,360 Speaker 5: on anything coming into the US would have been a 185 00:07:53,440 --> 00:07:55,600 Speaker 5: really big deal for them, and with an amount of 186 00:07:55,720 --> 00:07:58,680 Speaker 5: matter of five six, seven hours, they were able to 187 00:07:58,680 --> 00:08:00,880 Speaker 5: come to some sort of resolution that both the Columbian 188 00:08:00,920 --> 00:08:03,760 Speaker 5: government was happy with and Trump was happy with, at 189 00:08:03,840 --> 00:08:05,640 Speaker 5: least for the time being. We'll see if this drops up. 190 00:08:05,680 --> 00:08:08,120 Speaker 5: But this is really the question as everyone's looking towards 191 00:08:08,160 --> 00:08:10,679 Speaker 5: February one, which of course is the date that Trump 192 00:08:10,680 --> 00:08:13,520 Speaker 5: has said he wants to impose tariffs on Mexico, China 193 00:08:13,800 --> 00:08:15,880 Speaker 5: or sorry, Mexico, Canada and maybe China. 194 00:08:15,960 --> 00:08:17,960 Speaker 7: We'll see where that lands. 195 00:08:18,080 --> 00:08:21,120 Speaker 5: And you know that's six days away, that's Saturday, So 196 00:08:21,160 --> 00:08:23,120 Speaker 5: it's unclear if the terrifts are actually coming or if 197 00:08:23,160 --> 00:08:25,160 Speaker 5: that's really more of a starting point for negotiation. 198 00:08:25,360 --> 00:08:27,760 Speaker 2: Yes. Yeah, that's a nice looking economy. You got there 199 00:08:27,840 --> 00:08:30,720 Speaker 2: be a shamed of something happened to it. We haven't 200 00:08:30,760 --> 00:08:33,240 Speaker 2: even talked about deep seek. We have a minute left. 201 00:08:33,280 --> 00:08:35,160 Speaker 2: This is the story of the day at Bloomberg. The 202 00:08:35,160 --> 00:08:37,679 Speaker 2: markets are falling out of bed over this, and Donald 203 00:08:37,720 --> 00:08:39,480 Speaker 2: Trump at some point is going to have to respond. 204 00:08:39,520 --> 00:08:42,160 Speaker 2: I suspect, unless you're gonna tell me he has already 205 00:08:42,160 --> 00:08:44,920 Speaker 2: considering the TikTok divest or ban. Is this the next 206 00:08:45,240 --> 00:08:47,559 Speaker 2: app to be banned by the Trump administration? 207 00:08:47,720 --> 00:08:48,560 Speaker 7: It certainly could be. 208 00:08:48,800 --> 00:08:50,640 Speaker 5: You know, we know from all the statements last week 209 00:08:50,640 --> 00:08:54,240 Speaker 5: and the executive orders and the big press conference at 210 00:08:54,240 --> 00:08:55,880 Speaker 5: the White House that he is very focused on AI. 211 00:08:55,920 --> 00:08:57,560 Speaker 5: He says he wants to be dominant in AI. And 212 00:08:57,640 --> 00:08:59,280 Speaker 5: this is the kind of thing that Donald Trump is 213 00:08:59,360 --> 00:09:01,040 Speaker 5: very scared about that China is going to come and 214 00:09:01,080 --> 00:09:04,160 Speaker 5: sort of usurp the US's lunch. So I expect that 215 00:09:04,200 --> 00:09:06,160 Speaker 5: we will see some response from him soon if he 216 00:09:06,200 --> 00:09:08,160 Speaker 5: hasn't announced something in the past couple minutes. 217 00:09:08,160 --> 00:09:11,160 Speaker 2: Since our national security implications here potentially right if for 218 00:09:11,240 --> 00:09:14,160 Speaker 2: scooping up Americans data, it's kind of like TikTok all 219 00:09:14,160 --> 00:09:14,720 Speaker 2: over again. 220 00:09:15,040 --> 00:09:17,240 Speaker 5: But you know, with even more access to emails, access 221 00:09:17,280 --> 00:09:18,200 Speaker 5: to location data. 222 00:09:18,240 --> 00:09:21,720 Speaker 2: It's a watching Gmail and your phone number. Good lord, 223 00:09:22,360 --> 00:09:24,760 Speaker 2: And it's only noontime on a Monday. As I said, 224 00:09:24,840 --> 00:09:26,240 Speaker 2: just think of the week that Laura is going to have. 225 00:09:26,320 --> 00:09:28,640 Speaker 2: We'll go through this together with the help of Laura 226 00:09:28,679 --> 00:09:30,680 Speaker 2: and her team. Thank you as always for being with 227 00:09:30,760 --> 00:09:33,040 Speaker 2: us here on Balance of Power. I'm Joe, Matthew and Washington. 228 00:09:33,240 --> 00:09:36,240 Speaker 2: We're going to go deep on deep Seek coming up 229 00:09:36,280 --> 00:09:40,160 Speaker 2: next with an expert on AI from CSIS. We sit 230 00:09:40,200 --> 00:09:43,959 Speaker 2: down with Gregory Allen next. Only here on Bloomberg. 231 00:09:45,800 --> 00:09:49,280 Speaker 1: You're listening to the Bloomberg Balance of Power podcasts. Catch 232 00:09:49,360 --> 00:09:52,839 Speaker 1: us live weekdays at noon and five pm Eastern on Apple, 233 00:09:52,880 --> 00:09:55,920 Speaker 1: Cocklay and Android Auto with the Bloomberg Business App. You 234 00:09:55,920 --> 00:09:59,400 Speaker 1: can also listen live on Amazon Alexa from our flagship 235 00:09:59,440 --> 00:10:03,360 Speaker 1: New York State Just Say Alexa played Bloomberg eleven thirty. 236 00:10:05,040 --> 00:10:06,640 Speaker 2: This is a tough market, but we need to get 237 00:10:06,640 --> 00:10:08,719 Speaker 2: the facts here and we'll get back with Charlie in 238 00:10:08,760 --> 00:10:12,040 Speaker 2: a bit to see how this is evolving, hopefully not 239 00:10:12,160 --> 00:10:15,480 Speaker 2: regressing a more than six hundred and sixty point loss. 240 00:10:15,480 --> 00:10:18,000 Speaker 2: Here on the NASDAC that vis is up twenty five percent. 241 00:10:18,320 --> 00:10:20,480 Speaker 2: It's kind of all you need to know, and it 242 00:10:20,600 --> 00:10:23,160 Speaker 2: has everything to do with deep Seek, as Charlie was 243 00:10:23,200 --> 00:10:25,559 Speaker 2: just mentioning, it's where we started our day here. Everybody 244 00:10:25,559 --> 00:10:27,360 Speaker 2: woke up to this news on the terminal. How many 245 00:10:27,440 --> 00:10:30,440 Speaker 2: notifications about deep seek did you have or had you 246 00:10:30,520 --> 00:10:33,560 Speaker 2: already downloaded it? Maybe you're part of this whole story, 247 00:10:34,360 --> 00:10:39,800 Speaker 2: enter Jevins' paradox. Maybe you saw the tweet from Satya Nadella, 248 00:10:39,880 --> 00:10:45,280 Speaker 2: the CEO of Microsoft. Jevins Paradox strikes again. He writes, 249 00:10:45,360 --> 00:10:48,360 Speaker 2: as AI gets more efficient and accessible, we will see 250 00:10:48,400 --> 00:10:52,600 Speaker 2: its use skyrocket. He's defining it here, turning it into 251 00:10:52,640 --> 00:10:57,200 Speaker 2: a commodity. We just can't get enough of. Interesting and 252 00:10:57,280 --> 00:10:59,920 Speaker 2: a great place to start our conversation with Gregory Allen. 253 00:11:00,040 --> 00:11:02,120 Speaker 2: You've met Gregory before on this program. He is one 254 00:11:02,160 --> 00:11:05,440 Speaker 2: of the foremost experts on AI in the nation's capital 255 00:11:05,440 --> 00:11:08,760 Speaker 2: and in fact director of the Wadwani AI Center at CSIS, 256 00:11:08,760 --> 00:11:11,840 Speaker 2: the Center for Strategic and International Studies, former Director of 257 00:11:11,880 --> 00:11:14,679 Speaker 2: Strategy and Policy at the Department of Defense Joint Artificial 258 00:11:14,679 --> 00:11:17,280 Speaker 2: Intelligence Center. This is the guy you need to hear 259 00:11:17,280 --> 00:11:19,319 Speaker 2: from today. It's great to have you back. I can 260 00:11:19,360 --> 00:11:22,080 Speaker 2: only imagine your thoughts when you see an AI story 261 00:11:22,280 --> 00:11:26,000 Speaker 2: explode like this in the mainstream media. I've got a 262 00:11:26,040 --> 00:11:28,839 Speaker 2: lot of specific answers questions for you that hopefully you 263 00:11:28,880 --> 00:11:31,520 Speaker 2: will have answers to. But in terms of Jevins Paradox, 264 00:11:31,559 --> 00:11:32,440 Speaker 2: why does it matter here? 265 00:11:33,040 --> 00:11:35,559 Speaker 4: So? I think the stock market is looking at Deep 266 00:11:35,640 --> 00:11:38,040 Speaker 4: Seek and they're saying, oh my gosh, here is a 267 00:11:38,080 --> 00:11:40,680 Speaker 4: company who has found a way to make pretty high 268 00:11:40,800 --> 00:11:45,360 Speaker 4: quality AI much more widely available for much cheaper. So 269 00:11:45,559 --> 00:11:49,600 Speaker 4: therefore the price performance of a company like open Ai, 270 00:11:49,760 --> 00:11:52,400 Speaker 4: how are they going to justify that cost when suddenly 271 00:11:52,440 --> 00:11:55,200 Speaker 4: it's so cheap to make? And the Jevins paradox has 272 00:11:55,240 --> 00:11:58,600 Speaker 4: a really important answer to everybody who's out there shorting 273 00:11:58,640 --> 00:12:02,280 Speaker 4: in Vidia or shorting myrosoft right now. It basically says 274 00:12:02,280 --> 00:12:06,600 Speaker 4: that as something becomes cheaper, people want more of it. 275 00:12:06,720 --> 00:12:10,120 Speaker 4: So Jevins the observation actually dates back to the Industrial Revolution, 276 00:12:10,400 --> 00:12:12,520 Speaker 4: where he pointed out that steam engines are getting more 277 00:12:12,559 --> 00:12:15,080 Speaker 4: and more energy efficient, but we keep using more and 278 00:12:15,160 --> 00:12:18,000 Speaker 4: more coal because as we get more energy efficient, then 279 00:12:18,040 --> 00:12:21,480 Speaker 4: you can economically justify using coal and an application that 280 00:12:21,520 --> 00:12:24,679 Speaker 4: you couldn't before. The exact same thing is true in computing. 281 00:12:25,040 --> 00:12:29,240 Speaker 4: The cost of one flop when operation of computing has 282 00:12:29,640 --> 00:12:33,400 Speaker 4: dropped by oh, I don't know, twenty trillionfold since you know, 283 00:12:33,440 --> 00:12:36,640 Speaker 4: the nineteen fifties when we first invented computers. But are 284 00:12:36,640 --> 00:12:38,960 Speaker 4: we using more computers or we're using less computers? Are 285 00:12:39,000 --> 00:12:42,480 Speaker 4: companies making more money selling computers or less money selling computers? 286 00:12:42,600 --> 00:12:45,640 Speaker 4: The basic point here is that Microsoft is Thank goodness, 287 00:12:46,000 --> 00:12:49,400 Speaker 4: AI is so cheap because now the universe of people 288 00:12:49,400 --> 00:12:50,680 Speaker 4: who are going to want to buy it from me 289 00:12:51,040 --> 00:12:51,720 Speaker 4: just grew. 290 00:12:51,480 --> 00:12:53,959 Speaker 2: A lascinating What does this mean for the energy companies? 291 00:12:53,960 --> 00:12:55,800 Speaker 2: By the way, it's not just the Nvidios that are down, 292 00:12:56,040 --> 00:12:59,000 Speaker 2: it's the constellations and the others that we've been talking 293 00:12:59,040 --> 00:13:02,240 Speaker 2: so much about clean renewable. Is it going to be nuclear? 294 00:13:02,280 --> 00:13:06,760 Speaker 2: Will we still need expensive energy? If Jevins correct, well, 295 00:13:06,760 --> 00:13:09,400 Speaker 2: it's the exact same phenomen decline in price as well. 296 00:13:09,480 --> 00:13:12,480 Speaker 4: No, it's the exact same phenomenon just applied to the energy. 297 00:13:12,559 --> 00:13:15,400 Speaker 4: If you go back ten years, how much was data 298 00:13:15,480 --> 00:13:18,640 Speaker 4: centers as a share of the US electrical grid demand. 299 00:13:18,960 --> 00:13:22,240 Speaker 4: It was hardly anything. But at the exact same time 300 00:13:22,679 --> 00:13:26,520 Speaker 4: that computer chips got more powerful, that algorithms got more efficient, 301 00:13:26,840 --> 00:13:29,920 Speaker 4: Suddenly data centers are actually a pretty reasonable chunk of 302 00:13:29,960 --> 00:13:32,080 Speaker 4: the US grid, and now it's looking like they're going 303 00:13:32,160 --> 00:13:35,560 Speaker 4: to consume a lot more. Well. Increasing efficiency has already 304 00:13:35,600 --> 00:13:38,320 Speaker 4: been a part of that story. An Nvidia chip today 305 00:13:38,679 --> 00:13:42,520 Speaker 4: is literally ten thousand times more efficient than an Nvidia 306 00:13:42,640 --> 00:13:45,680 Speaker 4: chip a decade or two ago. And at the same 307 00:13:45,679 --> 00:13:47,720 Speaker 4: time that they're getting more efficient, at the same time 308 00:13:47,720 --> 00:13:51,000 Speaker 4: that you're using less energy per unit of computation. You're 309 00:13:51,000 --> 00:13:54,000 Speaker 4: making the economic and the business case that much more 310 00:13:54,000 --> 00:13:56,960 Speaker 4: attractive for every additional use case for that competition. 311 00:13:57,000 --> 00:13:59,400 Speaker 2: I have to bet this all sounds pretty positive in 312 00:13:59,440 --> 00:14:02,800 Speaker 2: the Grand scy So let's get to this case specifically 313 00:14:02,800 --> 00:14:05,600 Speaker 2: in y Wall Street is so freaked out Deep Seek. 314 00:14:05,640 --> 00:14:08,640 Speaker 2: We're told this happened with six million dollars in funding. 315 00:14:08,840 --> 00:14:10,360 Speaker 2: Is that possible? Is that true? 316 00:14:10,480 --> 00:14:13,200 Speaker 4: So it's which part of the story you want to say, Ok, 317 00:14:13,440 --> 00:14:16,440 Speaker 4: this specific model training run. Right, when you're training an 318 00:14:16,480 --> 00:14:18,560 Speaker 4: AI model, how much computation did you use on that 319 00:14:18,600 --> 00:14:22,560 Speaker 4: one run? Yes, that was six million dollars worth of computation. 320 00:14:22,920 --> 00:14:26,160 Speaker 4: But there's all the other model training runs that didn't work. 321 00:14:26,560 --> 00:14:29,520 Speaker 4: Right When deep seek says that's what it costs, that 322 00:14:29,560 --> 00:14:32,920 Speaker 4: didn't say their entire computing costs, for all of their 323 00:14:32,920 --> 00:14:35,240 Speaker 4: research and development, for all the work that went into 324 00:14:35,240 --> 00:14:37,560 Speaker 4: creating this model with six million dollars. They said, this 325 00:14:37,640 --> 00:14:41,320 Speaker 4: one individual training run with six million dollars. Another thing 326 00:14:41,360 --> 00:14:44,000 Speaker 4: to note here is part of the reason why everybody's 327 00:14:44,040 --> 00:14:47,400 Speaker 4: so excited is this is a model that has reasoning capabilities. 328 00:14:47,600 --> 00:14:49,800 Speaker 4: This is the advance that Opening Eye came out with 329 00:14:49,840 --> 00:14:54,000 Speaker 4: in that one series of models in September of last year. Well, 330 00:14:54,000 --> 00:14:56,480 Speaker 4: it turns out what deep seek has proved is that 331 00:14:56,800 --> 00:15:01,000 Speaker 4: upgrading a pretty decent base model think like GP, to 332 00:15:01,120 --> 00:15:04,920 Speaker 4: a reasoning model that is actually not as computationally intensive 333 00:15:05,080 --> 00:15:07,760 Speaker 4: as had been understood widely in the press. But inside 334 00:15:07,760 --> 00:15:11,160 Speaker 4: the big AI companies, opening eye Anthropic, they already knew 335 00:15:11,200 --> 00:15:13,080 Speaker 4: all of this. They were already benefiting from all of this. 336 00:15:13,520 --> 00:15:17,040 Speaker 4: Recall that Sam Altman said that three the most advanced 337 00:15:17,040 --> 00:15:19,840 Speaker 4: category of model, the one that was blowing away benchmarks. 338 00:15:20,080 --> 00:15:22,560 Speaker 4: In December of twenty twenty four, he said, the price 339 00:15:22,600 --> 00:15:25,880 Speaker 4: of giving away that model usage free, right, So costs 340 00:15:25,920 --> 00:15:28,600 Speaker 4: are coming down for everyone, not just for deep Seek. 341 00:15:28,800 --> 00:15:31,400 Speaker 4: What deep Seek is doing is replicating a series of 342 00:15:31,440 --> 00:15:35,320 Speaker 4: research that American AI companies had already been benefiting from. 343 00:15:35,480 --> 00:15:38,120 Speaker 4: They just weren't sharing it loudly and publicly. 344 00:15:38,200 --> 00:15:41,320 Speaker 2: Okay, did this company get its hands on in Vidia 345 00:15:41,440 --> 00:15:43,920 Speaker 2: chips or did it reinvent the wheel with some kind 346 00:15:43,920 --> 00:15:45,800 Speaker 2: of popcorn chip that had stacked in a way that 347 00:15:45,840 --> 00:15:46,880 Speaker 2: we've never seen before. 348 00:15:46,960 --> 00:15:49,800 Speaker 4: So according to this company, according to deep Seek, they 349 00:15:49,920 --> 00:15:52,240 Speaker 4: used in video chips all right, but they specifically used 350 00:15:52,240 --> 00:15:55,640 Speaker 4: in Vidia H eight hundred chips. So Folks who watched 351 00:15:55,680 --> 00:15:59,000 Speaker 4: the export controls debate in Washington export control policy in 352 00:15:59,080 --> 00:16:02,480 Speaker 4: Washington closely, such as myself, you may remember that in 353 00:16:02,480 --> 00:16:05,720 Speaker 4: October twenty twenty two, that's when the Biden administration launched 354 00:16:05,800 --> 00:16:09,640 Speaker 4: this AI chip restrictions export controls strategy. But they got 355 00:16:09,640 --> 00:16:13,640 Speaker 4: the performance thresholds wrong. They thought that they were saying, oh, 356 00:16:13,680 --> 00:16:17,000 Speaker 4: you have to buy two generations old of in Vidia chips. 357 00:16:17,200 --> 00:16:18,960 Speaker 4: But what in Vidia found out is actually, if we 358 00:16:18,960 --> 00:16:22,800 Speaker 4: make this one tweak to our existing best in class chips, 359 00:16:22,840 --> 00:16:25,960 Speaker 4: they're actually legal to sell. So there was a whereas 360 00:16:26,040 --> 00:16:28,800 Speaker 4: the Biden administration was under the impression that they were 361 00:16:28,800 --> 00:16:32,520 Speaker 4: putting China under like a fifty or sixty percent performance penalty, 362 00:16:32,920 --> 00:16:36,080 Speaker 4: actually they were only imposing like a ten percent performance penalty. 363 00:16:36,320 --> 00:16:39,640 Speaker 4: And there was an entire year between October twenty twenty 364 00:16:39,640 --> 00:16:42,640 Speaker 4: two and October twenty twenty three when it was illegal 365 00:16:42,680 --> 00:16:45,680 Speaker 4: to sell unlimited numbers of these eight eight hundred chips. 366 00:16:45,720 --> 00:16:46,760 Speaker 2: So this is the whole story. 367 00:16:46,880 --> 00:16:50,440 Speaker 4: This is the story they have been. Export controls have 368 00:16:50,520 --> 00:16:53,640 Speaker 4: a lagging effect. Right, It's not like you stop selling 369 00:16:53,680 --> 00:16:57,480 Speaker 4: it and everything that's already in China magically blows up. Right, 370 00:16:57,520 --> 00:17:01,080 Speaker 4: They still have what they already bought. And in this case, 371 00:17:01,160 --> 00:17:03,880 Speaker 4: we are dealing with the failure of the design of 372 00:17:03,920 --> 00:17:07,720 Speaker 4: the export control architecture of October twenty twenty two. Later 373 00:17:07,800 --> 00:17:09,920 Speaker 4: this year, we're going to start living through the success 374 00:17:10,000 --> 00:17:13,600 Speaker 4: story of the October twenty three architecture the December twenty 375 00:17:13,640 --> 00:17:16,680 Speaker 4: twenty four architecture. And it came out of the mouth 376 00:17:16,760 --> 00:17:20,920 Speaker 4: of deeps Sikh's CEO. He said, the number one challenge 377 00:17:20,960 --> 00:17:25,120 Speaker 4: my company faces is US export controls. Right when Biden 378 00:17:25,160 --> 00:17:29,320 Speaker 4: and Shijingping meet to discuss foreign policy issues time and again, 379 00:17:29,359 --> 00:17:31,920 Speaker 4: I've heard this from Biden administration officials time and again, 380 00:17:32,040 --> 00:17:35,439 Speaker 4: Shujingping changes the topic back to these export controls and 381 00:17:35,480 --> 00:17:37,879 Speaker 4: why he needs them to go away immediately. He's not 382 00:17:38,040 --> 00:17:40,240 Speaker 4: asking to get rid of them because they aren't working. 383 00:17:40,600 --> 00:17:42,919 Speaker 4: He's asking to get rid of them because they are working, 384 00:17:43,040 --> 00:17:46,160 Speaker 4: because they are imposing significant costs. Now, I don't want 385 00:17:46,200 --> 00:17:50,520 Speaker 4: to suggest that there's no legitimate technical innovation underpinning this 386 00:17:50,640 --> 00:17:54,440 Speaker 4: new Deepseek model release. There's some legitimately impressive stuff in here. 387 00:17:54,720 --> 00:17:57,640 Speaker 4: Folks who work at American AI labs are reading these papers. 388 00:17:57,800 --> 00:18:01,000 Speaker 4: They are seeing innovations they can use think about what 389 00:18:01,080 --> 00:18:05,680 Speaker 4: advantages America can secure that are durable and hard to replicate, 390 00:18:06,000 --> 00:18:09,000 Speaker 4: and what advantages China can secure that are durable and 391 00:18:09,000 --> 00:18:12,639 Speaker 4: hard to replicate. All of the algorithmic innovation, all of 392 00:18:12,680 --> 00:18:16,240 Speaker 4: the architectural innovation that is represented in this deep Seak model, 393 00:18:16,560 --> 00:18:19,440 Speaker 4: one percent of it is available to American a companies. 394 00:18:19,520 --> 00:18:23,400 Speaker 4: They get to copy any new innovation. By contrast, all 395 00:18:23,440 --> 00:18:27,920 Speaker 4: the computational advantages that American companies have, Chinese companies can't 396 00:18:27,960 --> 00:18:30,879 Speaker 4: copy that because they can't make the chips fascinating. 397 00:18:31,040 --> 00:18:34,680 Speaker 2: So I'm listening to you and I'm I'm amazed by 398 00:18:34,680 --> 00:18:36,800 Speaker 2: everything you're telling me, and I'm wondering why all these 399 00:18:36,800 --> 00:18:39,119 Speaker 2: stocks are down today well and making the case to 400 00:18:39,200 --> 00:18:39,920 Speaker 2: buy a video. 401 00:18:40,080 --> 00:18:42,800 Speaker 4: Well, I would say, in the long term, the stock 402 00:18:42,800 --> 00:18:45,120 Speaker 4: market is based on truth, but in the short term 403 00:18:45,200 --> 00:18:48,280 Speaker 4: sometimes it's based on vibes. And the vibes pretty. 404 00:18:48,040 --> 00:18:49,480 Speaker 2: Much today is what's going on. 405 00:18:49,520 --> 00:18:50,880 Speaker 4: That would be my strong impression. 406 00:18:50,880 --> 00:18:52,960 Speaker 2: I mean, this isn't Blackwell we're talking about, it's not 407 00:18:53,080 --> 00:18:54,520 Speaker 2: Ruben we're talking about. 408 00:18:54,480 --> 00:18:57,000 Speaker 4: Right, We're talking about deep Seat and it's it's legitimately 409 00:18:57,040 --> 00:18:59,720 Speaker 4: important right there. This is an update in what people 410 00:18:59,800 --> 00:19:02,239 Speaker 4: think is possible. But it's an update that folks who 411 00:19:02,280 --> 00:19:04,360 Speaker 4: have been living in the AI industry are familiar with. 412 00:19:04,760 --> 00:19:07,439 Speaker 4: Right right now, we're living in the world of GPT 413 00:19:07,520 --> 00:19:09,440 Speaker 4: four is the base model. One is the sort of 414 00:19:09,480 --> 00:19:12,560 Speaker 4: reasoning model updates. But I remember when GPT two came 415 00:19:12,600 --> 00:19:14,600 Speaker 4: out and it was trained on a supercomputer, and now 416 00:19:14,600 --> 00:19:17,280 Speaker 4: it runs on my laptop. And I remember when GPT 417 00:19:17,359 --> 00:19:19,280 Speaker 4: three came out and it was trained on a supercomputer, 418 00:19:19,480 --> 00:19:21,720 Speaker 4: and now it runs on my laptop. So the point 419 00:19:21,760 --> 00:19:25,480 Speaker 4: is here, there is no real update in paradigm. Computers 420 00:19:25,720 --> 00:19:28,720 Speaker 4: start in supercomputers and they end up in personal devices, 421 00:19:28,760 --> 00:19:31,320 Speaker 4: and that has been the trend literally since Alan Turning 422 00:19:31,440 --> 00:19:36,680 Speaker 4: invented the first computer during World War Two. It gets faster, smaller, cheaper. 423 00:19:36,960 --> 00:19:39,000 Speaker 4: But at the same time you have to ask yourself 424 00:19:39,200 --> 00:19:43,600 Speaker 4: what kind of durable competitive advantages can we create? And 425 00:19:43,680 --> 00:19:45,359 Speaker 4: I think it's worth pointing out that we are on 426 00:19:45,400 --> 00:19:49,320 Speaker 4: the cusp of a threshold. Right Sam Altman himself last 427 00:19:49,400 --> 00:19:52,159 Speaker 4: year early last year said that the performance of his 428 00:19:52,320 --> 00:19:55,520 Speaker 4: model was quote mildly embarrassing at best, and he had 429 00:19:55,560 --> 00:19:58,240 Speaker 4: the best one in the world. But the point is 430 00:19:59,000 --> 00:20:02,080 Speaker 4: we are maybe a year year away, maybe a handful 431 00:20:02,119 --> 00:20:05,639 Speaker 4: of years away. From AI models being able to perform 432 00:20:05,920 --> 00:20:09,639 Speaker 4: so many different tasks in the global economy, and in 433 00:20:09,680 --> 00:20:12,360 Speaker 4: some cases being able to do so at better than 434 00:20:12,440 --> 00:20:17,240 Speaker 4: world expert levels. So we are approaching this threshold when 435 00:20:17,320 --> 00:20:20,840 Speaker 4: AI will go from useful for some things, fun for 436 00:20:20,920 --> 00:20:25,480 Speaker 4: some things, to shockingly useful at so many things. And 437 00:20:25,560 --> 00:20:29,439 Speaker 4: the companies and the countries that crossed that threshold first 438 00:20:29,640 --> 00:20:32,240 Speaker 4: are going to have an extraordinary first mover advantage. 439 00:20:32,280 --> 00:20:34,240 Speaker 2: That's not what we're talking about here, though we're out 440 00:20:34,280 --> 00:20:34,560 Speaker 2: of time. 441 00:20:34,560 --> 00:20:36,040 Speaker 4: Basically, this is all we got to talk about. 442 00:20:36,040 --> 00:20:38,280 Speaker 2: One more things, well, forty five seconds, go for it. 443 00:20:38,400 --> 00:20:43,000 Speaker 4: Deepseek is having major outages right now. They have attracted 444 00:20:43,000 --> 00:20:44,879 Speaker 4: a lot of attention, They've got a lot of new 445 00:20:44,960 --> 00:20:48,159 Speaker 4: users being attacked. They are not being attacked. They have 446 00:20:48,240 --> 00:20:50,520 Speaker 4: run out of chips. It is the exact same story 447 00:20:50,880 --> 00:20:54,280 Speaker 4: as when Gina Romando went to China in mid twenty 448 00:20:54,320 --> 00:20:57,680 Speaker 4: twenty four and they said that Huawe had a new phone, 449 00:20:57,680 --> 00:20:59,760 Speaker 4: but they couldn't make enough chips for them. Now they 450 00:20:59,760 --> 00:21:01,800 Speaker 4: don't have enough chips to run the data centers to 451 00:21:01,880 --> 00:21:03,640 Speaker 4: serve the users who want to use deep Seek. 452 00:21:04,640 --> 00:21:05,800 Speaker 2: While way two point zero. 453 00:21:05,720 --> 00:21:07,439 Speaker 4: Here, it's a very similar repeat of the. 454 00:21:07,400 --> 00:21:10,240 Speaker 2: Story amazing, aren't you glad? We had Gregory back with 455 00:21:10,320 --> 00:21:14,840 Speaker 2: us today on Balance of Power. Fantastic csis. He's the 456 00:21:14,880 --> 00:21:17,280 Speaker 2: mind you want to talk to and hear from today 457 00:21:17,320 --> 00:21:18,000 Speaker 2: on Bloomberg. 458 00:21:21,400 --> 00:21:24,880 Speaker 1: You're listening to the Bloomberg Balance of Power podcast. Catch 459 00:21:24,920 --> 00:21:27,920 Speaker 1: us live weekdays at noon and five pm Eastern on 460 00:21:28,080 --> 00:21:31,320 Speaker 1: Apple Cockley and Android Auto with the Bloomberg Business App. 461 00:21:31,520 --> 00:21:34,720 Speaker 1: Listen on demand wherever you get your podcasts, or watch 462 00:21:34,840 --> 00:21:37,280 Speaker 1: us live on YouTube. 463 00:21:37,680 --> 00:21:40,520 Speaker 9: While we have heard from the AI cryptos are David Sachs, 464 00:21:40,520 --> 00:21:42,240 Speaker 9: we have yet to hear from the President of the 465 00:21:42,359 --> 00:21:45,320 Speaker 9: United States Supports just a week now into his term, 466 00:21:45,359 --> 00:21:47,479 Speaker 9: but he is busy today. In fact, he was spending 467 00:21:47,480 --> 00:21:49,800 Speaker 9: the early portion of today golfing at his Derau resort. 468 00:21:49,920 --> 00:21:53,440 Speaker 2: Yeah about that, lord, little morning golf, a little lunch, 469 00:21:53,680 --> 00:21:55,680 Speaker 2: I guess at poolside? Did you see this one hundred 470 00:21:55,680 --> 00:21:58,560 Speaker 2: and twenty five foot slide at the pool? Are the 471 00:21:58,600 --> 00:22:00,919 Speaker 2: members using the slide this week? They might have to 472 00:22:00,920 --> 00:22:02,720 Speaker 2: take the plunge on a couple of things here, Kayley, 473 00:22:02,760 --> 00:22:05,200 Speaker 2: this is interesting as we've talked about one bill or two, 474 00:22:05,240 --> 00:22:07,280 Speaker 2: what's the agenda going to be? This is apparently the 475 00:22:07,320 --> 00:22:08,960 Speaker 2: two day retreat that's going to decide at all. 476 00:22:09,080 --> 00:22:10,199 Speaker 7: Yeah, that's what we're referring to. 477 00:22:10,200 --> 00:22:13,359 Speaker 9: Hear the Republican Conference retreat into Ralph, Florida, where Donald 478 00:22:13,359 --> 00:22:17,159 Speaker 9: Trump will be speaking behind closed doors this evening to lawmakers, 479 00:22:17,160 --> 00:22:19,560 Speaker 9: potentially outlining the way in which he'd like them to 480 00:22:19,600 --> 00:22:22,480 Speaker 9: move forward on his legislative agenda. So for more insight 481 00:22:22,560 --> 00:22:24,680 Speaker 9: on this. Now, joining us in our Washington, d C. 482 00:22:24,840 --> 00:22:27,760 Speaker 9: Studio is Sarah chamberlinch He's president CEO of the Republican 483 00:22:28,119 --> 00:22:32,040 Speaker 9: Main Street Partnership. Welcome back to Balance of Power, Sarah, 484 00:22:32,119 --> 00:22:34,560 Speaker 9: I do wonder what Main Street members are planning to 485 00:22:34,640 --> 00:22:37,480 Speaker 9: say in return to Donald Trump about the way in 486 00:22:37,520 --> 00:22:40,440 Speaker 9: which they would advise his legislative agenda be pursued. 487 00:22:40,680 --> 00:22:42,879 Speaker 10: Well, the first thing is they are going down the slide. 488 00:22:43,359 --> 00:22:45,199 Speaker 10: I'm open with this type margin. 489 00:22:45,280 --> 00:22:48,200 Speaker 3: Nobody gets hurt. 490 00:22:51,080 --> 00:22:52,600 Speaker 10: So some of have played golf for them. 491 00:22:52,640 --> 00:22:55,440 Speaker 3: But what they're really advising is one they need one 492 00:22:55,480 --> 00:22:58,520 Speaker 3: bill and they need to have make sure salt is 493 00:22:58,520 --> 00:22:58,760 Speaker 3: in it. 494 00:22:59,280 --> 00:23:01,760 Speaker 10: Immigration is Immigration will definitely be in it. But they're 495 00:23:01,760 --> 00:23:02,720 Speaker 10: really pushing salt. 496 00:23:03,119 --> 00:23:05,280 Speaker 3: It means a great deal to our California members, New 497 00:23:05,320 --> 00:23:07,840 Speaker 3: York members, and actually our New Jersey members, So there's 498 00:23:07,920 --> 00:23:09,479 Speaker 3: one area that they're pushing him hard at. 499 00:23:09,920 --> 00:23:13,080 Speaker 2: So how much of this is pep rally of versus 500 00:23:13,119 --> 00:23:16,760 Speaker 2: negotiation versus productivity. You've got a lot of factions, as 501 00:23:16,760 --> 00:23:20,159 Speaker 2: we've discussed in this Republican conference. Is at Donald Trump's 502 00:23:20,240 --> 00:23:22,160 Speaker 2: job to bring them together and so they can come 503 00:23:22,160 --> 00:23:24,840 Speaker 2: back to Washington to start writing legislation or to make 504 00:23:24,880 --> 00:23:26,080 Speaker 2: a deal that they can go home with. 505 00:23:26,480 --> 00:23:28,199 Speaker 10: So I think it's really believe they're not going to 506 00:23:28,200 --> 00:23:29,080 Speaker 10: be a combination of both. 507 00:23:29,280 --> 00:23:31,879 Speaker 3: He is trying to rally them, get them on the 508 00:23:31,920 --> 00:23:35,760 Speaker 3: same page, have them spend time together doing fun activities 509 00:23:35,800 --> 00:23:39,240 Speaker 3: like we already mentioned and playing some golf. But there 510 00:23:39,280 --> 00:23:41,520 Speaker 3: is a lot of business that's being discussed as well. 511 00:23:41,640 --> 00:23:43,760 Speaker 3: You know, the one bill they need to budget wrecked. 512 00:23:43,800 --> 00:23:46,960 Speaker 3: I mean they need to get all these things done 513 00:23:46,600 --> 00:23:49,440 Speaker 3: by the end of February and then go into the 514 00:23:49,520 --> 00:23:50,560 Speaker 3: hopefully the one bill. 515 00:23:50,880 --> 00:23:52,200 Speaker 10: I'm really I've I. 516 00:23:52,240 --> 00:23:54,560 Speaker 3: Wasn't sure about one bill or two, but now I'm 517 00:23:54,600 --> 00:23:56,639 Speaker 3: convinced it's one bill because I think we are going 518 00:23:56,680 --> 00:23:59,440 Speaker 3: to have to have some Democratic help. So one bill 519 00:23:59,440 --> 00:24:02,360 Speaker 3: it's a little bit easier for the Democrats to swallow. 520 00:24:03,000 --> 00:24:04,800 Speaker 9: Well, so does John Thune need to be part of 521 00:24:04,800 --> 00:24:07,000 Speaker 9: this retreat as well. It's one thing for House Republicans 522 00:24:07,000 --> 00:24:08,679 Speaker 9: and the President to be on the same page, but 523 00:24:08,720 --> 00:24:10,120 Speaker 9: the senate's the other factor here. 524 00:24:10,280 --> 00:24:12,800 Speaker 3: It certainly is, And I know the Speaker is very 525 00:24:12,840 --> 00:24:15,160 Speaker 3: much in touch with a Senator, so I know he's 526 00:24:15,200 --> 00:24:18,160 Speaker 3: not there, but I would be surprised if the Speaker's 527 00:24:18,200 --> 00:24:19,959 Speaker 3: not on the phone with him occasionally this weekend. 528 00:24:20,080 --> 00:24:23,399 Speaker 2: Interesting. You just mentioned some of the ingredients here, not 529 00:24:23,480 --> 00:24:25,800 Speaker 2: the least of which assaults were pun intended. But you've 530 00:24:25,840 --> 00:24:27,920 Speaker 2: got no tax on tips. We talked to Kevin Brady 531 00:24:27,920 --> 00:24:30,760 Speaker 2: about this at the end of last week. No tax 532 00:24:30,800 --> 00:24:32,760 Speaker 2: on overtime. So many different things that would be put 533 00:24:32,800 --> 00:24:37,399 Speaker 2: into one bill that you start wondering what gets left out. 534 00:24:37,440 --> 00:24:39,400 Speaker 2: Are we going to have a debt ceiling as part 535 00:24:39,400 --> 00:24:43,280 Speaker 2: of this? Will emergency funding for wildfires and hurricanes be 536 00:24:43,320 --> 00:24:45,600 Speaker 2: part of this? Because now we're in a world where 537 00:24:45,640 --> 00:24:47,960 Speaker 2: there's something for everyone and no one can say no, 538 00:24:48,359 --> 00:24:49,120 Speaker 2: that's true. 539 00:24:49,280 --> 00:24:52,120 Speaker 10: I definitely think the emergency funding will be put into it, 540 00:24:53,240 --> 00:24:56,600 Speaker 10: not sure, but other things. But this is going to 541 00:24:56,640 --> 00:24:59,000 Speaker 10: be a massive bill. I mean, there's no doubt about that. 542 00:24:59,080 --> 00:25:01,879 Speaker 3: It's going to encompass a lot of things that the House, 543 00:25:01,920 --> 00:25:04,760 Speaker 3: frankly has needed and needs to get done. So hopefully 544 00:25:04,760 --> 00:25:07,720 Speaker 3: the Senate, fingers crossed, will go along with some of 545 00:25:07,760 --> 00:25:11,680 Speaker 3: these initiatives are in this bill. But the other reason 546 00:25:11,720 --> 00:25:14,280 Speaker 3: they want it in one bill is because we all 547 00:25:14,320 --> 00:25:17,760 Speaker 3: know there's some Republicans that do not vote like Republicans, 548 00:25:17,840 --> 00:25:20,400 Speaker 3: don't really care about what the leadership thinks, and they 549 00:25:20,440 --> 00:25:22,480 Speaker 3: have to pick some of the Democrats off to get 550 00:25:22,520 --> 00:25:25,119 Speaker 3: it through, which means you have to put things in 551 00:25:25,160 --> 00:25:27,840 Speaker 3: the bill that the Democrats want, like the funding for 552 00:25:27,920 --> 00:25:32,520 Speaker 3: California fire in North Carolina, and we already talked about salt. 553 00:25:32,800 --> 00:25:36,240 Speaker 3: So it's an interesting play here, but it's going to 554 00:25:36,240 --> 00:25:38,080 Speaker 3: be a huge bill and there's really nothing you can 555 00:25:38,119 --> 00:25:38,879 Speaker 3: do about it. 556 00:25:39,200 --> 00:25:41,520 Speaker 9: Well, and huge in terms of potential price tag as 557 00:25:41,520 --> 00:25:43,280 Speaker 9: well when we're thinking of dollar figures. And some of 558 00:25:43,320 --> 00:25:46,320 Speaker 9: those members you're referring to are people who are very 559 00:25:46,320 --> 00:25:49,880 Speaker 9: fiscally conservative and want to see requisite spending cuts along 560 00:25:50,160 --> 00:25:52,400 Speaker 9: with this. What give us an idea of the pay 561 00:25:52,440 --> 00:25:54,600 Speaker 9: fors that are actually going to be discussed over the 562 00:25:54,640 --> 00:25:55,960 Speaker 9: next few days in these rooms. 563 00:25:56,359 --> 00:25:58,919 Speaker 3: So the pay fors they're going to go through with 564 00:25:59,080 --> 00:26:03,000 Speaker 3: Elon mus help go through every single division in the 565 00:26:03,040 --> 00:26:06,520 Speaker 3: government and see where they can cut Medicare, Medicaid. I 566 00:26:06,560 --> 00:26:08,800 Speaker 3: know they've talked about that social Security. I don't really 567 00:26:08,840 --> 00:26:10,920 Speaker 3: see that being viable down at the end. I don't 568 00:26:10,920 --> 00:26:13,520 Speaker 3: think the members of the republic Community Partnership would vote 569 00:26:13,560 --> 00:26:16,960 Speaker 3: for cut in those three areas. But there is a 570 00:26:16,960 --> 00:26:18,920 Speaker 3: lot of waste in the federal government. I mean, let's 571 00:26:18,920 --> 00:26:20,720 Speaker 3: be honest here, So if we can find some of 572 00:26:20,760 --> 00:26:23,280 Speaker 3: that for offsets, that's where they'd prefer to go. But 573 00:26:23,320 --> 00:26:26,399 Speaker 3: we also do know Donald Trump. President Trump does not 574 00:26:26,640 --> 00:26:30,119 Speaker 3: mind debt. I mean he has in his personal business. 575 00:26:30,280 --> 00:26:32,639 Speaker 3: I mean he doesn't mind debt. I realized there's some 576 00:26:32,720 --> 00:26:35,399 Speaker 3: Democrats or some Republicans that are really opposed to it, 577 00:26:35,640 --> 00:26:38,000 Speaker 3: but the President really is not opposed to it. So 578 00:26:38,080 --> 00:26:41,320 Speaker 3: I think that he'll be comfortable with not finding total offsets. 579 00:26:41,400 --> 00:26:43,359 Speaker 2: Called himself the King of debt, if you remember that 580 00:26:43,440 --> 00:26:45,680 Speaker 2: a couple of years, so he did. Why not get 581 00:26:45,680 --> 00:26:48,280 Speaker 2: a little more With that said, then you start wondering 582 00:26:48,280 --> 00:26:52,560 Speaker 2: about the calendar and a very ambitious approach. At one 583 00:26:52,600 --> 00:26:54,520 Speaker 2: point by Mike Johnson, he said he wanted a budget 584 00:26:54,520 --> 00:26:57,600 Speaker 2: bill up for a vote the end of February. That 585 00:26:57,640 --> 00:27:01,200 Speaker 2: would require a small mirror. At this point, I assume, 586 00:27:01,200 --> 00:27:03,920 Speaker 2: what's the realistic timetable here? They have a few months 587 00:27:03,920 --> 00:27:04,400 Speaker 2: to play. 588 00:27:04,240 --> 00:27:05,800 Speaker 3: With, they do they really have them till the end 589 00:27:05,800 --> 00:27:08,320 Speaker 3: of the year, so but please let's not go to 590 00:27:08,359 --> 00:27:12,040 Speaker 3: the end of the year, please. I think March, probably 591 00:27:12,040 --> 00:27:15,359 Speaker 3: March into April is a realistic in the first half, 592 00:27:15,880 --> 00:27:17,959 Speaker 3: hopefully in the first stelf because there is other business 593 00:27:18,160 --> 00:27:20,480 Speaker 3: that they need to get onto, so they're hoping by 594 00:27:20,800 --> 00:27:26,840 Speaker 3: the holiday break in April, they hope to have something done. 595 00:27:27,520 --> 00:27:29,600 Speaker 3: That song is going to have to be. We're running 596 00:27:29,640 --> 00:27:32,000 Speaker 3: out of money. So I'm fortunate to get taken care 597 00:27:32,040 --> 00:27:34,200 Speaker 3: of last year. I understand that I actually agreed with 598 00:27:34,280 --> 00:27:37,000 Speaker 3: President Trump that he wanted to get it done then, 599 00:27:37,320 --> 00:27:39,840 Speaker 3: so that that needs to get done again the first 600 00:27:40,280 --> 00:27:42,439 Speaker 3: first quarter of this year. So a lot on the 601 00:27:42,480 --> 00:27:44,919 Speaker 3: table that needs to get done before April. 602 00:27:45,000 --> 00:27:47,439 Speaker 9: Well, especially when you consider the Treasury Department already for 603 00:27:47,480 --> 00:27:50,879 Speaker 9: the last week has been implementing extraordinary extraordinary measures that 604 00:27:50,920 --> 00:27:54,359 Speaker 9: I only can go so far potentially to the summer 605 00:27:54,400 --> 00:27:56,440 Speaker 9: if we're lucky. I do wonder though, and you refer 606 00:27:56,480 --> 00:27:57,960 Speaker 9: to what Donald Trump was asking for at the end 607 00:27:58,000 --> 00:27:59,840 Speaker 9: of last year, if it's going to be just a 608 00:28:00,040 --> 00:28:02,840 Speaker 9: temporary extension of the debt ceiling for some period of time, 609 00:28:02,960 --> 00:28:05,119 Speaker 9: or if his suggestion that should be done away with 610 00:28:05,320 --> 00:28:07,280 Speaker 9: entirely is something that can become reality. 611 00:28:07,520 --> 00:28:10,040 Speaker 3: I know that the Republic Mainstreat Partnership members would pretty 612 00:28:10,080 --> 00:28:11,600 Speaker 3: much like it done entirely. 613 00:28:12,680 --> 00:28:14,160 Speaker 10: I actually Elizabeth. 614 00:28:13,680 --> 00:28:16,119 Speaker 3: Warren, Senator Warren agrees with us on that, which I 615 00:28:16,160 --> 00:28:19,360 Speaker 3: don't think has ever happened before. But it would be 616 00:28:19,359 --> 00:28:21,280 Speaker 3: better for the country than we wouldn't have to go 617 00:28:21,359 --> 00:28:24,640 Speaker 3: through this exercise. We always end up increasing it anyway, 618 00:28:24,880 --> 00:28:26,919 Speaker 3: so it'd be nice to get it off the table. 619 00:28:27,160 --> 00:28:28,679 Speaker 3: But that's going to have to get done in the 620 00:28:28,720 --> 00:28:29,480 Speaker 3: next few weeks. 621 00:28:29,920 --> 00:28:34,000 Speaker 2: We talk about spending cuts, there are some areas that 622 00:28:34,040 --> 00:28:38,240 Speaker 2: you've isolated where spending increases could in fact be the case, 623 00:28:38,280 --> 00:28:39,720 Speaker 2: and the Pentagon is going to be one of them. 624 00:28:39,800 --> 00:28:42,160 Speaker 2: Rick Davis was the first to mention the first trillion 625 00:28:42,240 --> 00:28:46,080 Speaker 2: dollar defense budget. Will that be the story in this bill, 626 00:28:46,120 --> 00:28:48,440 Speaker 2: that we're talking about a trillion dollars on the Pentagon? 627 00:28:48,520 --> 00:28:50,760 Speaker 10: I think it will be. It's going to be. 628 00:28:50,800 --> 00:28:51,920 Speaker 2: Main Street would be behind that. 629 00:28:52,320 --> 00:28:55,440 Speaker 3: I think so at least most of the members obviously 630 00:28:55,480 --> 00:28:59,120 Speaker 3: one of our members, Ken Calvert, is the appropriator over 631 00:28:59,160 --> 00:29:02,520 Speaker 3: the Defense Department. But we've given a lot to Ukraine. 632 00:29:02,600 --> 00:29:03,240 Speaker 10: We have to. 633 00:29:03,200 --> 00:29:06,520 Speaker 3: Rebuild what we've given to Ukraine, so that's part of 634 00:29:06,560 --> 00:29:10,360 Speaker 3: this as well. Plus we need new technology. I don't 635 00:29:10,400 --> 00:29:13,040 Speaker 3: know if if we're going to fight any more ground wars, 636 00:29:13,160 --> 00:29:18,440 Speaker 3: it's probably going to be Intelligence Awards AI type wars. 637 00:29:18,720 --> 00:29:20,520 Speaker 10: So we need to upper a game in that area. 638 00:29:20,720 --> 00:29:22,200 Speaker 3: And then, of course, I know he wants to spend 639 00:29:22,240 --> 00:29:24,880 Speaker 3: some of the money on the border for the immigration problem. 640 00:29:25,120 --> 00:29:27,560 Speaker 9: To that point, how does the mainstream partnership? But how 641 00:29:27,600 --> 00:29:29,480 Speaker 9: do the members feel about the way in which the 642 00:29:29,520 --> 00:29:32,200 Speaker 9: border crackdown is going so far? The deportations. We've seen 643 00:29:32,240 --> 00:29:34,640 Speaker 9: a very small trade war that started and ended, it 644 00:29:34,640 --> 00:29:38,360 Speaker 9: seemed over the weekend over the deportation of migrants. Are 645 00:29:38,400 --> 00:29:39,760 Speaker 9: they happy with everything they're seeing? 646 00:29:39,800 --> 00:29:42,560 Speaker 3: They're absolutely happy with it. I mean, immigration is number 647 00:29:42,560 --> 00:29:46,200 Speaker 3: one issue. I think that's probably why President Trump was 648 00:29:46,280 --> 00:29:48,920 Speaker 3: able to be elected again, and they want the border 649 00:29:48,960 --> 00:29:51,440 Speaker 3: cleaned up, and the people in their districts want this 650 00:29:51,480 --> 00:29:53,400 Speaker 3: border cleaned up. So I think he had a very 651 00:29:53,440 --> 00:29:56,600 Speaker 3: successful so far, so good on that. And it was 652 00:29:56,680 --> 00:29:59,200 Speaker 3: kind of interesting to see how he dealt with the President. 653 00:29:59,480 --> 00:30:03,000 Speaker 3: President kind of caved. President Trump said, Okay, we won't 654 00:30:03,080 --> 00:30:06,040 Speaker 3: send them on military plans, we send them on commercial 655 00:30:06,240 --> 00:30:08,960 Speaker 3: So I think there's some negotiation there. It worked out, 656 00:30:09,280 --> 00:30:11,320 Speaker 3: and we'll continue to send them home. 657 00:30:11,360 --> 00:30:14,120 Speaker 2: So that's the playbook that he prove that tariff's work. 658 00:30:14,920 --> 00:30:15,560 Speaker 10: I think you did. 659 00:30:15,800 --> 00:30:17,280 Speaker 3: I think it's no doubt about it. I mean they 660 00:30:17,320 --> 00:30:18,880 Speaker 3: came to the table pretty quickly on that. 661 00:30:19,040 --> 00:30:22,720 Speaker 2: Just the threat of a tariff just exactly interesting. Here 662 00:30:22,760 --> 00:30:25,200 Speaker 2: we are again, Sarah Chamberlin. Great to see you. Seems 663 00:30:25,280 --> 00:30:27,640 Speaker 2: unfair somehow, seventy five degrees in Miami, but there's still 664 00:30:27,680 --> 00:30:29,440 Speaker 2: snow on the ground, but you're here with us. We're 665 00:30:29,520 --> 00:30:33,520 Speaker 2: lucky for that. My apologies, although we do want pictures 666 00:30:33,520 --> 00:30:36,680 Speaker 2: of the slide from the Republican Main Street Partnership, Sarah Chamberlain, 667 00:30:36,760 --> 00:30:38,800 Speaker 2: one of the most connected Republican voices that will bring 668 00:30:38,800 --> 00:30:40,800 Speaker 2: you here on this program. When they come back, they're 669 00:30:40,800 --> 00:30:41,600 Speaker 2: gonna have a lot of work to do. 670 00:30:41,680 --> 00:30:41,920 Speaker 4: Killie. 671 00:30:42,120 --> 00:30:43,320 Speaker 9: Yeah, and they're going to have to do it in 672 00:30:43,320 --> 00:30:45,360 Speaker 9: pretty short order, do you hear, Sarah, Just a matter 673 00:30:45,400 --> 00:30:48,080 Speaker 9: of weeks to deal with the debt ceiling. Maybe we're 674 00:30:48,120 --> 00:30:49,960 Speaker 9: not going to push it so close to the X state. 675 00:30:50,080 --> 00:30:52,600 Speaker 2: You said the two words extraordinary measures. That's our reality 676 00:30:52,680 --> 00:30:54,720 Speaker 2: right now. We'll have a lot more with our panel 677 00:30:54,720 --> 00:30:56,720 Speaker 2: coming up next. Rick Davis and Genie Shanzano are with 678 00:30:56,760 --> 00:30:58,480 Speaker 2: us on the Monday edition to Balance and Power. We're 679 00:30:58,480 --> 00:30:59,280 Speaker 2: glad you are too. 680 00:31:01,560 --> 00:31:05,080 Speaker 1: You're listening to the Bloomberg Balance of Power podcasts. Catch 681 00:31:05,120 --> 00:31:07,960 Speaker 1: us live weekdays at noon and five pm E's durn 682 00:31:08,120 --> 00:31:11,520 Speaker 1: on Apple Cocklay and Android Auto with the Bloomberg Business app. 683 00:31:11,560 --> 00:31:14,600 Speaker 1: You can also listen live on Amazon Alexa from our 684 00:31:14,640 --> 00:31:19,840 Speaker 1: flagship New York station Just Say Alexa played Bloomberg eleven thirty. 685 00:31:20,760 --> 00:31:23,560 Speaker 9: Rest assured that Washington is taking note of what we're 686 00:31:23,560 --> 00:31:25,760 Speaker 9: seeing in financial markets today, all of it, of course 687 00:31:26,080 --> 00:31:31,320 Speaker 9: precipitated by deep seek and concerns over potential cheaper but 688 00:31:31,440 --> 00:31:34,200 Speaker 9: just as capable technology coming from China, something that the 689 00:31:34,280 --> 00:31:37,520 Speaker 9: US has been trying to prevent through export controls and 690 00:31:37,600 --> 00:31:39,680 Speaker 9: other means, and certainly something that is likely to get 691 00:31:39,680 --> 00:31:43,880 Speaker 9: the attention of this income or just brand new Trump 692 00:31:43,920 --> 00:31:47,320 Speaker 9: administration one week in keeping in mind that the President 693 00:31:47,360 --> 00:31:50,080 Speaker 9: has signed executive orders within the last few days pertaining 694 00:31:50,440 --> 00:31:53,640 Speaker 9: to artificial intelligence and announced a near half a trillion 695 00:31:53,720 --> 00:31:59,320 Speaker 9: dollar AI infrastructure development deal between Oracle and SoftBank and 696 00:31:59,400 --> 00:32:02,680 Speaker 9: Open Ai, who may now find themselves having to compete 697 00:32:03,240 --> 00:32:06,239 Speaker 9: with Deep Seek. All of it, of course, in the 698 00:32:06,280 --> 00:32:08,960 Speaker 9: midst of what has been a flurry of other executive 699 00:32:09,000 --> 00:32:12,440 Speaker 9: action unrelated to artificial intelligence, but some of it related 700 00:32:12,480 --> 00:32:16,920 Speaker 9: to new generation technology of another type. Joe as Bloomberg 701 00:32:16,920 --> 00:32:19,640 Speaker 9: has learned that today Donald Trump is preparing an executive 702 00:32:19,720 --> 00:32:23,920 Speaker 9: order to create a next generation defense shield to protect 703 00:32:23,960 --> 00:32:27,600 Speaker 9: the US against ballistic missiles. This is the US iron Dome. 704 00:32:27,640 --> 00:32:28,880 Speaker 9: We've long heard him teasing. 705 00:32:29,080 --> 00:32:30,800 Speaker 2: Yeah, he talked about this on the campaign, t really 706 00:32:30,840 --> 00:32:32,680 Speaker 2: talked about it in his first term. I'm not sure 707 00:32:32,680 --> 00:32:34,840 Speaker 2: how that would work. We're talking about a much larger 708 00:32:34,880 --> 00:32:38,560 Speaker 2: area we would need to defense where Yeah, you know, 709 00:32:38,600 --> 00:32:43,160 Speaker 2: this isn't they Actually it's not a real dome. We 710 00:32:43,200 --> 00:32:45,480 Speaker 2: actually need to send missiles up. You've seen this in 711 00:32:45,600 --> 00:32:50,280 Speaker 2: use in the skies over Israel. Would require uncounted numbers 712 00:32:50,440 --> 00:32:55,000 Speaker 2: of ground to air missiles interceptors essentially, and would be 713 00:32:55,040 --> 00:32:57,600 Speaker 2: a boon for defense contractors like Raytheon if it were 714 00:32:57,600 --> 00:32:57,960 Speaker 2: to happen. 715 00:32:58,040 --> 00:33:01,240 Speaker 9: Well and the newly minted Defense Secretary Pete Hegseth seems 716 00:33:01,280 --> 00:33:03,280 Speaker 9: on board. When he arrived at the Pentagon for his 717 00:33:03,360 --> 00:33:06,200 Speaker 9: first real day of work in that job, he talked 718 00:33:06,200 --> 00:33:08,840 Speaker 9: about this idea as well as some other initiatives. Now 719 00:33:08,840 --> 00:33:11,280 Speaker 9: that he thinks to jd Vance casting the tie breaking 720 00:33:11,360 --> 00:33:12,280 Speaker 9: vote has. 721 00:33:12,120 --> 00:33:14,040 Speaker 10: Been able to take over as the helm of that department. 722 00:33:14,120 --> 00:33:16,640 Speaker 2: That was the moment late Friday, jd Vance in the 723 00:33:16,640 --> 00:33:20,080 Speaker 2: motorcade to cast the deciding vote that made indeed Pete 724 00:33:20,120 --> 00:33:23,720 Speaker 2: Hegseth the new Secretary of Defense. If you're with us 725 00:33:23,760 --> 00:33:26,280 Speaker 2: on Bloomberg TV or on YouTube, you see his arrival 726 00:33:26,320 --> 00:33:29,160 Speaker 2: there at the Pentagon a bit earlier today at Chile 727 00:33:29,280 --> 00:33:32,160 Speaker 2: Monday morning in Washington in January. And that's where we 728 00:33:32,200 --> 00:33:36,360 Speaker 2: start with our signature panel. Bloomberg Politics contributors Rick Davis 729 00:33:36,400 --> 00:33:39,800 Speaker 2: and Genie Shanzino are with us. She is Democratic analyst 730 00:33:39,800 --> 00:33:43,320 Speaker 2: and political science professor at Iona University. Rick is Republican 731 00:33:43,360 --> 00:33:47,479 Speaker 2: strategist and partner at Stone Court Capital. Genie, what does 732 00:33:47,520 --> 00:33:49,880 Speaker 2: it tell you when jd Vance has to cast the 733 00:33:49,920 --> 00:33:52,080 Speaker 2: deciding vote on such an important appointment? 734 00:33:53,760 --> 00:33:56,240 Speaker 8: It tells us that, you know, the margin that they're 735 00:33:56,280 --> 00:33:58,840 Speaker 8: working with in the Senate is very slim, and I 736 00:33:58,880 --> 00:34:02,120 Speaker 8: think many of us thought that perhaps McConnell would go 737 00:34:02,280 --> 00:34:05,160 Speaker 8: no only if there was a fourth no, but that's 738 00:34:05,240 --> 00:34:07,760 Speaker 8: not what he did. He went no regardless of that. 739 00:34:08,320 --> 00:34:11,279 Speaker 8: And so that means that in my mind at least, 740 00:34:11,360 --> 00:34:15,480 Speaker 8: questions not only about Trump's upcoming nominations who are controversial 741 00:34:15,560 --> 00:34:18,720 Speaker 8: like Gabbard and RFK Junior this week and cash Ptel, 742 00:34:19,120 --> 00:34:23,400 Speaker 8: but also Trump's agenda. Does Mitch McConnell turn out to be, 743 00:34:23,640 --> 00:34:27,000 Speaker 8: I don't know, the new Lisa Murkowski or Susan Collins 744 00:34:27,120 --> 00:34:30,200 Speaker 8: or Joe Manchin on the Democratic side who's willing to 745 00:34:30,360 --> 00:34:33,759 Speaker 8: stand up and say no to Donald Trump. And that 746 00:34:33,960 --> 00:34:36,239 Speaker 8: is going to mean that Donald Trump's either going to 747 00:34:36,280 --> 00:34:39,600 Speaker 8: have to pull some Democrats, which is unlikely if he's 748 00:34:39,640 --> 00:34:43,600 Speaker 8: lost Murkowski, Collins and of course McConnell, or is he 749 00:34:43,680 --> 00:34:46,720 Speaker 8: going to play ball with McConnell on things he cares about, 750 00:34:46,760 --> 00:34:50,920 Speaker 8: like national security and also Senate rules. So there is 751 00:34:51,000 --> 00:34:53,680 Speaker 8: a lot that this portends that we just don't know 752 00:34:53,719 --> 00:34:55,000 Speaker 8: how it's going to play out. 753 00:34:56,520 --> 00:34:58,400 Speaker 9: Well, and we also don't know how things will go 754 00:34:58,520 --> 00:35:01,520 Speaker 9: down in committee on Thursday, when Tulsi Gabbard, who Genie 755 00:35:01,640 --> 00:35:04,799 Speaker 9: just mentioned, rick will have her confirmation hearing, knowing she's 756 00:35:04,840 --> 00:35:08,400 Speaker 9: faced a great deal of scrutiny for past behaviors, including 757 00:35:08,440 --> 00:35:11,160 Speaker 9: a visit to Syria some years ago. This is actually 758 00:35:11,200 --> 00:35:14,080 Speaker 9: something that Senator Lindsay Graham, Republican Senator I would add, 759 00:35:14,080 --> 00:35:15,640 Speaker 9: spoke about on Meet the Press yesterday. 760 00:35:16,160 --> 00:35:18,560 Speaker 6: I tend to vote for almost everybody at both parties, 761 00:35:18,560 --> 00:35:20,479 Speaker 6: but I want to see how the hearing goes. Why 762 00:35:20,480 --> 00:35:23,240 Speaker 6: didn't you go to Syria? What did you do regarding 763 00:35:23,280 --> 00:35:25,840 Speaker 6: the side. Why do you think Edward Snowden should be 764 00:35:26,760 --> 00:35:28,880 Speaker 6: haill as a hero? I certainly don't. We'll see how 765 00:35:28,880 --> 00:35:31,560 Speaker 6: the hearing goes. But in her favor, Richard Burr is 766 00:35:31,560 --> 00:35:34,000 Speaker 6: going to introduce her, and he's one of my dearest friends. 767 00:35:34,000 --> 00:35:34,560 Speaker 2: So we'll see. 768 00:35:36,360 --> 00:35:38,640 Speaker 9: Rick. There's a few questions I could ask you around this, 769 00:35:38,680 --> 00:35:41,680 Speaker 9: one being just how you view Tulsi Gabbert's prospects right 770 00:35:41,719 --> 00:35:44,360 Speaker 9: now ahead of this hearing. The other being what impact 771 00:35:44,400 --> 00:35:46,319 Speaker 9: will the shepherding of Richard Burr have for her? 772 00:35:47,800 --> 00:35:48,000 Speaker 10: Yeah? 773 00:35:48,080 --> 00:35:49,880 Speaker 11: I think, first of all, you know, you've got a 774 00:35:49,880 --> 00:35:54,040 Speaker 11: pretty compliant Republican caucus. Someone told me over the weekend 775 00:35:54,040 --> 00:35:55,840 Speaker 11: when these votes were being taken that there are a 776 00:35:55,840 --> 00:35:59,520 Speaker 11: lot of senators Republican senators think they're John McCain, but 777 00:35:59,560 --> 00:36:02,279 Speaker 11: they act like Tom Tillis, and that is kind of 778 00:36:02,320 --> 00:36:05,600 Speaker 11: a you know, way to think about it. You know, 779 00:36:05,719 --> 00:36:08,759 Speaker 11: they think they're going to be tough, they think they're 780 00:36:08,800 --> 00:36:11,520 Speaker 11: going to run these people through their marks, and then 781 00:36:11,680 --> 00:36:14,560 Speaker 11: what they wind up doing is going along with the president. 782 00:36:14,560 --> 00:36:18,680 Speaker 11: In some cases it's re election fear. Some cases, it's 783 00:36:18,760 --> 00:36:22,200 Speaker 11: not worth the agony to be set up. In some 784 00:36:22,239 --> 00:36:25,120 Speaker 11: cases they have other priorities that they want to get done. 785 00:36:25,280 --> 00:36:29,160 Speaker 11: I mean, the Lindsay Graham comments are really instructive. Lindsay 786 00:36:29,160 --> 00:36:35,560 Speaker 11: Graham does usually vote favorably for both Republican and Democratic senators, judges, 787 00:36:35,840 --> 00:36:39,319 Speaker 11: you name it. He thinks that's the president's prerogative, and 788 00:36:39,600 --> 00:36:41,640 Speaker 11: a lot of senators feel that way. They would have 789 00:36:41,680 --> 00:36:45,560 Speaker 11: to have something extraordinary and to march in a former 790 00:36:45,640 --> 00:36:49,120 Speaker 11: senator who was the chairman of the Intelligence Committee and 791 00:36:49,160 --> 00:36:52,520 Speaker 11: who was well liked amongst the caucus members to introduce 792 00:36:53,160 --> 00:36:57,560 Speaker 11: Tulsea Gabbert, you know, smart move, and he's got nothing 793 00:36:57,560 --> 00:36:58,000 Speaker 11: to lose. 794 00:36:58,600 --> 00:37:00,279 Speaker 2: He could do whatever he wants to do this. 795 00:37:00,280 --> 00:37:02,400 Speaker 11: Free time, and he chooses to come back to DC 796 00:37:03,160 --> 00:37:06,439 Speaker 11: in front for her nomination. Look, I mean I think, 797 00:37:06,480 --> 00:37:10,240 Speaker 11: as we've just recounted, there are three consistent votes against 798 00:37:10,280 --> 00:37:13,080 Speaker 11: people who probably shouldn't be in these jobs. The question 799 00:37:13,239 --> 00:37:16,759 Speaker 11: is who's that fourth person? And that I think is 800 00:37:16,800 --> 00:37:18,360 Speaker 11: really hard to figure out. 801 00:37:19,840 --> 00:37:22,239 Speaker 2: Interesting we weren't supposed to know about Richard Burr. I 802 00:37:22,239 --> 00:37:24,480 Speaker 2: guess Lindsey Graham let that slip. So that must have 803 00:37:24,520 --> 00:37:27,359 Speaker 2: been an interesting moment for Richard Burr, who will be 804 00:37:27,520 --> 00:37:29,680 Speaker 2: you know, not only walking her around and doing the 805 00:37:29,719 --> 00:37:33,040 Speaker 2: meetings and so forth. I guess introducing her before the 806 00:37:33,120 --> 00:37:36,360 Speaker 2: confirmation hearing, Genie. But Richard Burr, of course, this is 807 00:37:36,360 --> 00:37:38,360 Speaker 2: a former chair of the Intelligence Committee, has been offering 808 00:37:38,360 --> 00:37:41,320 Speaker 2: advice and counsel in recent weeks. Here will he improve 809 00:37:41,360 --> 00:37:42,920 Speaker 2: her chances of being confirmed? 810 00:37:44,760 --> 00:37:47,640 Speaker 8: I think he will. Certainly. He knows how this is 811 00:37:47,680 --> 00:37:49,759 Speaker 8: going to play out for her in the hearing. He 812 00:37:49,840 --> 00:37:52,319 Speaker 8: knows what to tell her to watch out for. And 813 00:37:52,360 --> 00:37:55,200 Speaker 8: we heard Tom Caughton on Fox News over the weekend 814 00:37:55,320 --> 00:37:59,320 Speaker 8: saying essentially that she is going to have a fair hearing. 815 00:37:59,680 --> 00:38:03,120 Speaker 8: But it interesting when you hear that because what he 816 00:38:03,200 --> 00:38:07,040 Speaker 8: is saying is I'll guarantee the process, but not the outcome, 817 00:38:07,440 --> 00:38:11,359 Speaker 8: which suggests that there may be a fourth no out 818 00:38:11,400 --> 00:38:15,760 Speaker 8: there somewhere, if not more, Tulca Gabbard is the one 819 00:38:15,800 --> 00:38:19,960 Speaker 8: who's most likely to go down, although historically once you 820 00:38:20,040 --> 00:38:21,920 Speaker 8: get to the hearing, that's a you know, that's not 821 00:38:22,000 --> 00:38:25,040 Speaker 8: something that usually happens. And it's all the issues that 822 00:38:25,160 --> 00:38:28,120 Speaker 8: Kaylie mentioned, and then it's her flip flopping on seven 823 00:38:28,160 --> 00:38:32,200 Speaker 8: oh two, which has been troubling to many on the 824 00:38:32,280 --> 00:38:36,000 Speaker 8: particularly the Republican side. So this is somebody who we're 825 00:38:36,000 --> 00:38:38,640 Speaker 8: going to have to watch for, along with of course 826 00:38:38,800 --> 00:38:42,960 Speaker 8: Cash Battel this week, and of course there's other hearings 827 00:38:43,040 --> 00:38:45,839 Speaker 8: as well, including RFK Junior, and those are the three 828 00:38:46,080 --> 00:38:48,600 Speaker 8: sort of most controversial that Trump has nominated. 829 00:38:50,280 --> 00:38:52,919 Speaker 9: Well, but when we consider the president Genie fresh off 830 00:38:52,960 --> 00:38:55,600 Speaker 9: what ultimately, though hard fought, was a victory in getting 831 00:38:55,600 --> 00:38:59,640 Speaker 9: Pete Hegseth confirmed then maybe the shortest ever trade war 832 00:39:00,080 --> 00:39:02,560 Speaker 9: in the US and Colombia to make sure that migrants 833 00:39:02,560 --> 00:39:06,200 Speaker 9: could be deported back to that country on military aircraft 834 00:39:06,239 --> 00:39:10,200 Speaker 9: through threat of tariffs, and the Colombian president quickly agreed 835 00:39:10,239 --> 00:39:12,840 Speaker 9: to Trump's terms. We understand, is this not a lesson 836 00:39:12,880 --> 00:39:15,719 Speaker 9: that Donald Trump by and large is getting what he. 837 00:39:15,719 --> 00:39:16,960 Speaker 7: Wants, at least for now. 838 00:39:16,960 --> 00:39:18,480 Speaker 9: Why would we believe that there is going to be 839 00:39:18,480 --> 00:39:21,040 Speaker 9: an exception to that rule so early in this term. 840 00:39:22,040 --> 00:39:24,759 Speaker 8: Yeah, I wouldn't suggest that we know she's going to 841 00:39:24,840 --> 00:39:27,239 Speaker 8: go down. I think the thinking is she's the most 842 00:39:27,320 --> 00:39:30,840 Speaker 8: vulnerable of those left. That doesn't mean by any stretch 843 00:39:30,880 --> 00:39:33,800 Speaker 8: of the imagination, she goes down. And Donald Trump is 844 00:39:33,840 --> 00:39:36,640 Speaker 8: having a very good first week. But let's not forget 845 00:39:36,640 --> 00:39:39,080 Speaker 8: what just happened. And you were just talking about the 846 00:39:39,239 --> 00:39:43,000 Speaker 8: Chinese came out and they shot the gun over the bow. 847 00:39:43,440 --> 00:39:45,680 Speaker 8: There is no question on the timing here of the 848 00:39:45,800 --> 00:39:49,160 Speaker 8: Chinese coming out with all of this information on Deep Seek, 849 00:39:49,560 --> 00:39:52,759 Speaker 8: not just how much it cost, but what was involved 850 00:39:52,840 --> 00:39:56,240 Speaker 8: in the creation. That is a warning that Donald Trump's 851 00:39:56,280 --> 00:40:00,200 Speaker 8: smooth sailing may not be so smooth around the world, 852 00:40:00,239 --> 00:40:02,959 Speaker 8: that this competition is very real. So, yes, He's got 853 00:40:02,960 --> 00:40:06,520 Speaker 8: some important short term wins here, but it is not 854 00:40:06,560 --> 00:40:09,360 Speaker 8: going to be smooth sailing. It never is for the president. 855 00:40:10,480 --> 00:40:13,200 Speaker 2: I keep asking Rick on this Deep Seek matter, why 856 00:40:13,600 --> 00:40:15,520 Speaker 2: not if you're Donald Trump, why not just ban it 857 00:40:15,560 --> 00:40:19,520 Speaker 2: if it's scooping up a Gmail accounts and phone numbers 858 00:40:19,560 --> 00:40:21,920 Speaker 2: of Americans? Or would that make it more difficult for 859 00:40:22,040 --> 00:40:27,040 Speaker 2: him to rationalize keeping TikTok around. Yeah, well he. 860 00:40:27,000 --> 00:40:29,799 Speaker 11: Could always flip flop on TikTok again, right, I mean, like, 861 00:40:29,840 --> 00:40:32,839 Speaker 11: why don't we just come to agreement that these pernicious 862 00:40:34,000 --> 00:40:36,880 Speaker 11: kind of businesses that are really sponsored by the Chinese 863 00:40:36,920 --> 00:40:41,319 Speaker 11: Communist Party and are collecting enormous amount of data on 864 00:40:41,520 --> 00:40:45,120 Speaker 11: everything we do in our lives should not be allowed 865 00:40:45,120 --> 00:40:47,839 Speaker 11: to prosper in the United States. 866 00:40:47,520 --> 00:40:48,200 Speaker 2: It's not. 867 00:40:49,080 --> 00:40:52,440 Speaker 11: And I think that if you have consistency in the administration, 868 00:40:52,920 --> 00:40:55,000 Speaker 11: you'd look at this and many of these other apps 869 00:40:55,040 --> 00:40:58,200 Speaker 11: that are people flocking to outside of TikTok and you'd 870 00:40:58,200 --> 00:41:01,040 Speaker 11: shut them down immediately. And why I give access to 871 00:41:01,120 --> 00:41:04,520 Speaker 11: our data and our information when we don't have reciprocity 872 00:41:04,560 --> 00:41:08,480 Speaker 11: in China? Simply put, forget all the national security implications, 873 00:41:08,520 --> 00:41:09,880 Speaker 11: which are not insignificant. 874 00:41:10,800 --> 00:41:11,840 Speaker 2: You know, Donald Trump. 875 00:41:11,560 --> 00:41:15,680 Speaker 11: Wants to make it tough for countries that don't allow 876 00:41:15,719 --> 00:41:19,160 Speaker 11: our businesses to prosper in their markets. China is the 877 00:41:19,200 --> 00:41:21,560 Speaker 11: worst offender, go after them first. 878 00:41:23,920 --> 00:41:25,520 Speaker 9: Well, Rick, when we look at what's happening in the 879 00:41:25,520 --> 00:41:27,879 Speaker 9: markets today, an Aztec one hundred now down three point 880 00:41:27,960 --> 00:41:30,920 Speaker 9: three percent in video obviously is creating a massive drag 881 00:41:30,920 --> 00:41:33,640 Speaker 9: over the implications for that company. But are you surprised, 882 00:41:33,680 --> 00:41:35,719 Speaker 9: because I'm a little surprised that we haven't heard from 883 00:41:35,840 --> 00:41:38,400 Speaker 9: Donald Trump about this yet, knowing how he likes to 884 00:41:38,520 --> 00:41:40,400 Speaker 9: use the stock market as a barometer for how he 885 00:41:40,520 --> 00:41:42,280 Speaker 9: himself is doing as president. 886 00:41:43,200 --> 00:41:45,200 Speaker 11: Well, he hasn't put it out yet, so I mean, 887 00:41:45,200 --> 00:41:49,200 Speaker 11: maybe we'll hear from him later this afternoon. But yeah, 888 00:41:49,280 --> 00:41:52,440 Speaker 11: I wouldn't be surprised that we get a you know, 889 00:41:52,760 --> 00:41:56,120 Speaker 11: true social post even while he's still on the golf 890 00:41:56,160 --> 00:42:01,000 Speaker 11: course before the dinner tonight with Republican leadership. It says 891 00:42:01,040 --> 00:42:03,799 Speaker 11: something gives the country some indication of where his mind 892 00:42:03,880 --> 00:42:07,040 Speaker 11: is because it has been doing the wander a little 893 00:42:07,080 --> 00:42:09,960 Speaker 11: bit on this issue, and we'd like to see it 894 00:42:10,000 --> 00:42:13,279 Speaker 11: wander back to someplace that has strategic value to the 895 00:42:13,360 --> 00:42:14,080 Speaker 11: United States. 896 00:42:15,480 --> 00:42:19,800 Speaker 9: All right, Rick Davis and Jeanie Shanzino, our signature political panel, Thank. 897 00:42:19,680 --> 00:42:24,880 Speaker 2: You so much, thanks for listening to the Balance of 898 00:42:24,920 --> 00:42:28,440 Speaker 2: Power Podcasts. Make sure to subscribe if you haven't already, 899 00:42:28,440 --> 00:42:31,759 Speaker 2: at Apple, Spotify, or wherever you get your podcasts, and 900 00:42:31,840 --> 00:42:34,439 Speaker 2: you can find us live every weekday from Washington, DC 901 00:42:34,600 --> 00:42:37,320 Speaker 2: at noontime Eastern at Bloomberg dot com.