1 00:00:02,920 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,560 Speaker 1: Bloomberg Balance of Power podcast. Catch Just Live weekdays at 3 00:00:14,560 --> 00:00:17,759 Speaker 1: noon Eastern on Applecarplay and then roudo with the Bloomberg 4 00:00:17,800 --> 00:00:21,280 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:25,320 Speaker 1: or watch us live on YouTube. 6 00:00:25,800 --> 00:00:30,600 Speaker 2: Fascinating to hear just everyone evolve with the data. Certainly 7 00:00:30,680 --> 00:00:33,880 Speaker 2: the markets are today, and to hear the former Saint 8 00:00:33,920 --> 00:00:36,560 Speaker 2: Louis FED president say the soft landing for the US 9 00:00:36,680 --> 00:00:40,720 Speaker 2: economy is in view is something that we are obviously 10 00:00:40,760 --> 00:00:42,600 Speaker 2: going to hear. That's the kind of news that the 11 00:00:42,640 --> 00:00:45,600 Speaker 2: White House wants to listen to. And following this job's 12 00:00:45,800 --> 00:00:48,560 Speaker 2: data this morning, we may be in a different world. 13 00:00:48,560 --> 00:00:50,519 Speaker 2: It certainly feels like it then we were twenty four 14 00:00:50,520 --> 00:00:53,159 Speaker 2: hours ago, certainly coming off of the Fed meeting and 15 00:00:53,200 --> 00:00:54,720 Speaker 2: some of the more recent data that we've seen on 16 00:00:54,760 --> 00:00:58,720 Speaker 2: GDP and jobs. Mark Hamrick joins us. Now I'm glad 17 00:00:58,760 --> 00:01:03,240 Speaker 2: to say from our Washington Bureau, the bank Rate Washington 18 00:01:03,280 --> 00:01:07,000 Speaker 2: Bureau chief, you's senior economic analysts at bank Rate and 19 00:01:07,080 --> 00:01:10,920 Speaker 2: has been researching this job's data forest market. It's great 20 00:01:10,959 --> 00:01:15,000 Speaker 2: to have you on Bloomberg. Welcome the stuff that we 21 00:01:15,040 --> 00:01:20,039 Speaker 2: were hearing just now from Jim Bullard reinforces this view 22 00:01:20,560 --> 00:01:23,520 Speaker 2: that the FED may actually stick the soft landing. How 23 00:01:23,520 --> 00:01:25,600 Speaker 2: are you looking at this report today? 24 00:01:27,560 --> 00:01:29,280 Speaker 3: Good to be with you, Joan, Thanks for having me. 25 00:01:29,480 --> 00:01:31,680 Speaker 3: I think what he's saying is very parallel to what 26 00:01:31,720 --> 00:01:34,360 Speaker 3: the FED chairman said just a few days ago, and 27 00:01:34,440 --> 00:01:37,360 Speaker 3: that is there are a number of possible paths ahead, 28 00:01:37,880 --> 00:01:41,040 Speaker 3: and some of those pasts may well be constructive, meaning 29 00:01:41,360 --> 00:01:45,000 Speaker 3: we avoid a hard landing, we avoid a contraction in 30 00:01:45,040 --> 00:01:48,360 Speaker 3: the economy in the next let's say, six to twelve months, 31 00:01:49,080 --> 00:01:52,400 Speaker 3: and that the hope is indeed aligned with the prayer 32 00:01:53,000 --> 00:01:57,840 Speaker 3: that inflation will continue to come down. There are other paths, though, 33 00:01:57,880 --> 00:02:01,320 Speaker 3: that could involve events that we can even predict. And 34 00:02:01,360 --> 00:02:04,440 Speaker 3: so what I think I would prefer to associate myself 35 00:02:04,480 --> 00:02:08,440 Speaker 3: with in this discussion is the high degree of uncertainty, 36 00:02:08,919 --> 00:02:11,880 Speaker 3: to acknowledge that there are multiple paths and that we 37 00:02:11,919 --> 00:02:15,600 Speaker 3: don't have a high degree of certainty about a particular path. 38 00:02:15,880 --> 00:02:19,160 Speaker 2: Okay, so we're data dependent as we have been. We're 39 00:02:19,160 --> 00:02:22,960 Speaker 2: awfully used to that. But you can feel the shift 40 00:02:23,000 --> 00:02:24,960 Speaker 2: in sentiment here, can't you? 41 00:02:25,040 --> 00:02:25,200 Speaker 4: Mark? 42 00:02:25,240 --> 00:02:26,239 Speaker 5: Does that change your view? 43 00:02:27,240 --> 00:02:29,720 Speaker 3: Well, it's one day's worth of data, but obviously an 44 00:02:29,760 --> 00:02:35,120 Speaker 3: important set of data, you know, and you can concoct 45 00:02:35,120 --> 00:02:38,960 Speaker 3: a variety of paths just from today, For example, the 46 00:02:38,960 --> 00:02:41,320 Speaker 3: payrolls number coming in with a gain of one hundred 47 00:02:41,360 --> 00:02:44,800 Speaker 3: and seventy five thousand jobs. That's a decline of forty 48 00:02:44,880 --> 00:02:48,760 Speaker 3: percent from the previous month's revised number. So you can 49 00:02:48,800 --> 00:02:52,600 Speaker 3: come up with a scenario where that trajectory goes lower 50 00:02:52,880 --> 00:02:56,360 Speaker 3: that we get a much more pronounced slowing in the economy. 51 00:02:56,400 --> 00:02:57,800 Speaker 4: I don't think that's the base. 52 00:02:57,680 --> 00:03:02,080 Speaker 3: Case, but I would say broadly, this is a very 53 00:03:02,120 --> 00:03:07,200 Speaker 3: well balanced report which does take sort of the hot 54 00:03:07,320 --> 00:03:11,160 Speaker 3: plate of porridge out of the choice of three too hot, 55 00:03:11,360 --> 00:03:15,679 Speaker 3: too cold, just right today today alone, and we'll see 56 00:03:15,680 --> 00:03:17,519 Speaker 3: what the next rounds of data bring. 57 00:03:17,720 --> 00:03:19,440 Speaker 2: What are the next rounds that matter to you? Are 58 00:03:19,440 --> 00:03:22,959 Speaker 2: we back to obsessing over CPI or is it the 59 00:03:23,080 --> 00:03:25,760 Speaker 2: jobs report that's kind of leading your view? 60 00:03:26,760 --> 00:03:30,400 Speaker 3: I think we're mostly obsessing about the consumer price index 61 00:03:30,840 --> 00:03:31,919 Speaker 3: over the job's report. 62 00:03:31,960 --> 00:03:33,040 Speaker 4: And that's painful for. 63 00:03:33,080 --> 00:03:37,200 Speaker 3: Me to say, because I've always loved following the employment data. 64 00:03:37,320 --> 00:03:41,400 Speaker 3: But you know, when you're talking about the FED prioritizing 65 00:03:41,440 --> 00:03:44,040 Speaker 3: the part of the mandate with stable prices. Although it's 66 00:03:44,080 --> 00:03:47,560 Speaker 3: interesting to hear Chairman Powell this past week say well, 67 00:03:47,600 --> 00:03:49,560 Speaker 3: perhaps we need to be paying just a bit more 68 00:03:49,600 --> 00:03:53,480 Speaker 3: attention now to maximum employment than we were before. I 69 00:03:53,520 --> 00:03:55,720 Speaker 3: still think the CPI is the star of the show, 70 00:03:55,760 --> 00:03:58,640 Speaker 3: because there was nothing in the statement that led us 71 00:03:58,640 --> 00:04:02,720 Speaker 3: to believe that we're going to be prioritizing the employment side. 72 00:04:02,760 --> 00:04:05,560 Speaker 3: It is that we need greater confidence about coming down 73 00:04:05,600 --> 00:04:08,760 Speaker 3: to that. Heavily talked about two percent target. 74 00:04:08,960 --> 00:04:11,960 Speaker 2: You're looking at average hourly earnings in this report. We've 75 00:04:12,000 --> 00:04:14,600 Speaker 2: been with the n I on inflation watching that number 76 00:04:15,320 --> 00:04:18,120 Speaker 2: carefully of three point nine percent over the past year, 77 00:04:19,440 --> 00:04:22,400 Speaker 2: pay is exceeding inflation, which is a really good thing 78 00:04:22,480 --> 00:04:26,320 Speaker 2: for Joe Biden to say. But how concerning could that 79 00:04:26,480 --> 00:04:30,560 Speaker 2: be if this trend continues, when we consider the possibility 80 00:04:30,600 --> 00:04:33,320 Speaker 2: of a wage spiral, of this starting to become a 81 00:04:33,400 --> 00:04:35,800 Speaker 2: vicious cycle where the Fed needs to worry again. 82 00:04:37,000 --> 00:04:38,880 Speaker 3: Well, I think, first of all, Chairman pal has been 83 00:04:38,920 --> 00:04:41,800 Speaker 3: pretty consistent, and I think the data supports the view 84 00:04:42,360 --> 00:04:46,159 Speaker 3: that the job market has not been the primary cause 85 00:04:46,360 --> 00:04:50,160 Speaker 3: of inflation in the sense of wage growth, leading that 86 00:04:50,240 --> 00:04:54,440 Speaker 3: we know the imbalance between supply and demand broadly, and 87 00:04:54,520 --> 00:04:59,320 Speaker 3: the supply chains really fed that. The war against Ukraine 88 00:05:00,040 --> 00:05:03,320 Speaker 3: as another straw to sort of break that camel's back, 89 00:05:03,720 --> 00:05:06,160 Speaker 3: and we had to decline in the sort of month 90 00:05:06,200 --> 00:05:10,120 Speaker 3: over month annualized look at average hourly earnings. So we're 91 00:05:10,160 --> 00:05:13,719 Speaker 3: not above four percent as were before. We're at thirty nine. 92 00:05:14,040 --> 00:05:16,159 Speaker 3: So I think it's reasonable to expect that with this 93 00:05:16,360 --> 00:05:19,640 Speaker 3: moderation or normalization we have in the job market, that 94 00:05:19,680 --> 00:05:22,320 Speaker 3: we will not have a wage price spiral. We had 95 00:05:22,320 --> 00:05:25,000 Speaker 3: a number of things seasonally occurring at the beginning of 96 00:05:25,000 --> 00:05:27,799 Speaker 3: the year, with twenty two states, dozens of localities raising 97 00:05:27,839 --> 00:05:32,160 Speaker 3: their minimum wages that had to have been affecting the data, 98 00:05:32,200 --> 00:05:35,200 Speaker 3: and we know there were a number of negotiated settlements 99 00:05:35,240 --> 00:05:39,040 Speaker 3: involving unions that also probably lifted some of that. 100 00:05:39,080 --> 00:05:40,360 Speaker 4: So I would look at some of that. 101 00:05:40,360 --> 00:05:44,159 Speaker 3: As being seasonal or temporary, and that would probably be 102 00:05:44,240 --> 00:05:47,560 Speaker 3: consistent with numbers that are not as high going forward. 103 00:05:47,720 --> 00:05:47,960 Speaker 1: Got it. 104 00:05:48,040 --> 00:05:50,919 Speaker 2: We're spending time with Mark Hamrick from Bankrate here on 105 00:05:50,960 --> 00:05:54,080 Speaker 2: Balance of Power, on Bloomberg Radio and on YouTube. If 106 00:05:54,120 --> 00:05:55,840 Speaker 2: you want to find us now, go to YouTube search 107 00:05:55,960 --> 00:06:00,839 Speaker 2: Bloomberg Global News. You'll see Mark Hamrick's palatial office. While 108 00:06:00,839 --> 00:06:04,640 Speaker 2: you're at it mark. What's the most stubborn problem here 109 00:06:04,680 --> 00:06:07,560 Speaker 2: in the inflation conversation. I know you're watching oil it's 110 00:06:07,560 --> 00:06:09,880 Speaker 2: a little bit of a wildcard, but shelter has been 111 00:06:09,920 --> 00:06:12,040 Speaker 2: a real problem here moving forward. 112 00:06:12,080 --> 00:06:14,280 Speaker 5: It just doesn't want to budget well. 113 00:06:14,320 --> 00:06:18,720 Speaker 3: It seems to be services excluding shelter because, as the 114 00:06:18,800 --> 00:06:22,279 Speaker 3: chairman said this week, the rents data has its measure 115 00:06:22,360 --> 00:06:24,880 Speaker 3: doesn't seem to be matching what's happening in the marketplace, 116 00:06:24,920 --> 00:06:29,000 Speaker 3: and so it is expected that as we get essentially 117 00:06:29,400 --> 00:06:32,240 Speaker 3: the shelter part of all this sort of better reflected 118 00:06:32,279 --> 00:06:35,719 Speaker 3: in the data, that the CPI in the shelter component 119 00:06:35,720 --> 00:06:39,440 Speaker 3: as well, services more broadly may behave better. But we know, 120 00:06:39,520 --> 00:06:43,640 Speaker 3: for example, there are all kinds of almost extraordinary things 121 00:06:43,640 --> 00:06:47,160 Speaker 3: going on in the economy that may not relent, and 122 00:06:47,200 --> 00:06:50,599 Speaker 3: I would point to things like the extraordinary increases in 123 00:06:50,640 --> 00:06:53,440 Speaker 3: the cost of car insurance that are caused by a 124 00:06:53,560 --> 00:06:56,440 Speaker 3: number of different factors. With climate change is part of that. 125 00:06:56,560 --> 00:06:58,919 Speaker 3: Some of them are sort of post pandemic impacts of 126 00:06:59,160 --> 00:07:01,800 Speaker 3: people not seeming be able to drive very well anymore, 127 00:07:01,839 --> 00:07:04,240 Speaker 3: but also the sharp rise in car prices and the 128 00:07:04,279 --> 00:07:09,680 Speaker 3: extraordinary costs associated with repairing a car. So obviously still 129 00:07:09,720 --> 00:07:11,640 Speaker 3: on the services side, but we do need to see 130 00:07:11,640 --> 00:07:16,120 Speaker 3: more disinflation resume on the good side, and if we 131 00:07:16,160 --> 00:07:18,360 Speaker 3: can get alignment, you know, for the most part on 132 00:07:18,440 --> 00:07:20,480 Speaker 3: both of those, we might be in a better shape. 133 00:07:20,480 --> 00:07:23,320 Speaker 3: And I think that's sort of the consensus expectation right now. 134 00:07:23,400 --> 00:07:25,440 Speaker 2: I'm glad we could get some time with you today, Mark, 135 00:07:25,440 --> 00:07:27,840 Speaker 2: don't be a stranger. Thanks for joining us on Bloomberg. 136 00:07:27,840 --> 00:07:31,040 Speaker 2: That's Mark Hamrick from bank Rate on this job's Day. 137 00:07:31,080 --> 00:07:33,640 Speaker 2: I'm Joe Matthew at World Headquarters in New York as 138 00:07:33,680 --> 00:07:37,360 Speaker 2: we balance a couple of stories today because in this city, 139 00:07:37,720 --> 00:07:38,800 Speaker 2: Donald Trump. 140 00:07:38,720 --> 00:07:42,480 Speaker 5: Is back in court, and so is Hope Hicks. 141 00:07:45,920 --> 00:07:49,200 Speaker 1: You're listening to the Bloomberg Balance of Power podcast Ken 142 00:07:49,400 --> 00:07:52,440 Speaker 1: just live weekdays at noon Eastern on Applecarplay and then 143 00:07:52,520 --> 00:07:55,480 Speaker 1: Rodoo with the Bloomberg Business Ad. You can also listen 144 00:07:55,560 --> 00:07:58,679 Speaker 1: live on Amazon Alexa from our flagship New York station, 145 00:07:59,080 --> 00:08:01,400 Speaker 1: Just say Alexa play Bloomberg eleven. 146 00:08:04,000 --> 00:08:07,440 Speaker 2: This is a fascinating development here in the criminal trial, 147 00:08:07,480 --> 00:08:10,520 Speaker 2: the former president hush money trial, of course, that's now 148 00:08:10,600 --> 00:08:15,160 Speaker 2: under way. Hope Hicks, one of his closest associates over 149 00:08:15,200 --> 00:08:18,680 Speaker 2: the years, a personal assistant, who was always there to 150 00:08:18,680 --> 00:08:22,600 Speaker 2: take care of Donald Trump, is now testifying against him. 151 00:08:22,640 --> 00:08:26,160 Speaker 2: Speaking as we speak about the day she learned of 152 00:08:26,200 --> 00:08:30,800 Speaker 2: the access Hollywood tapes. Quite remarkable, she said. After getting 153 00:08:30,840 --> 00:08:33,120 Speaker 2: the email about the tape, she went to the twenty 154 00:08:33,120 --> 00:08:36,760 Speaker 2: fifth floor of Trump Tower to talk about it. Donald 155 00:08:36,760 --> 00:08:39,120 Speaker 2: Trump was doing debate prep at that moment in a 156 00:08:39,160 --> 00:08:42,800 Speaker 2: conference room with Jason Miller, Kelly and Conway, Steve Bann 157 00:08:42,800 --> 00:08:46,480 Speaker 2: and Jared Kushner and his no longer friend Chris Christi. 158 00:08:47,160 --> 00:08:50,040 Speaker 2: She verbally explained the email, She said to Trump, and 159 00:08:50,080 --> 00:08:53,280 Speaker 2: the group sought to quote absorb the shock of it unquote. 160 00:08:53,800 --> 00:08:56,320 Speaker 2: We're joined in studio here in New York right now 161 00:08:56,320 --> 00:09:00,199 Speaker 2: in the throes of this conversation by Dave Ehrenberg. Yes, 162 00:09:00,240 --> 00:09:03,079 Speaker 2: the Palm Beach County State Attorney is here and with 163 00:09:03,160 --> 00:09:04,080 Speaker 2: us in studio. 164 00:09:04,160 --> 00:09:05,680 Speaker 5: It's great to see you, sir, what a treatment. 165 00:09:05,920 --> 00:09:06,640 Speaker 6: Great to be back with you. 166 00:09:06,800 --> 00:09:06,959 Speaker 7: Joe. 167 00:09:07,040 --> 00:09:07,599 Speaker 5: Absolutely. 168 00:09:07,640 --> 00:09:09,720 Speaker 2: I don't know what's got you in Manhattan, but we're 169 00:09:09,800 --> 00:09:12,400 Speaker 2: watching this trial unfold here, and I believe you made 170 00:09:12,720 --> 00:09:16,080 Speaker 2: clear already at one point that Hope Hicks could be 171 00:09:16,160 --> 00:09:20,439 Speaker 2: the slam dunk testimony for the prosecution. 172 00:09:20,720 --> 00:09:22,800 Speaker 5: What are we learning so far well. 173 00:09:23,000 --> 00:09:26,040 Speaker 6: At first, she started by saying she doesn't remember being 174 00:09:26,360 --> 00:09:29,320 Speaker 6: in the room where they had that discussion between Pecker, 175 00:09:29,440 --> 00:09:32,440 Speaker 6: Cohen and anyone else in the room at the time. 176 00:09:32,440 --> 00:09:35,120 Speaker 6: I think it was in Trump himself back in August 177 00:09:35,120 --> 00:09:39,080 Speaker 6: twenty fifteen where everything hit the fan. They were trying 178 00:09:39,080 --> 00:09:43,640 Speaker 6: to plan a strategy to suppress these bad stories. Now 179 00:09:44,240 --> 00:09:45,920 Speaker 6: that's trouble that she doesn't remember that. How do you 180 00:09:45,960 --> 00:09:48,080 Speaker 6: not remember being in that meeting? You think you'd remember that. 181 00:09:48,120 --> 00:09:51,400 Speaker 6: She does remember, though, being on a conference call on 182 00:09:51,559 --> 00:09:55,360 Speaker 6: calls with these players. So she's going to help the prosecution, 183 00:09:55,400 --> 00:09:57,600 Speaker 6: but perhaps not as much as a state thought. 184 00:09:57,720 --> 00:10:00,240 Speaker 2: What do they want to hear from her today? When 185 00:10:00,320 --> 00:10:00,959 Speaker 2: is the job done? 186 00:10:01,120 --> 00:10:03,960 Speaker 6: They want to hear corroboration that Trump was part of 187 00:10:04,000 --> 00:10:07,840 Speaker 6: the scheme, and that this scheme was in response to 188 00:10:07,880 --> 00:10:11,280 Speaker 6: the Access Hollywood tape, because after they came out, people 189 00:10:11,360 --> 00:10:14,400 Speaker 6: thought the campaign was doomed and they couldn't afford another 190 00:10:14,920 --> 00:10:17,720 Speaker 6: Stormy Daniels to come out where there was more trash 191 00:10:17,760 --> 00:10:20,360 Speaker 6: about Trump, and so that's why they entered into the 192 00:10:20,360 --> 00:10:23,880 Speaker 6: scheme to influence the election. Because prosecutors have to prove 193 00:10:24,200 --> 00:10:26,600 Speaker 6: that not just there was a falsification of business records, 194 00:10:26,600 --> 00:10:30,200 Speaker 6: but it concealed a campaign finance crime, and that would 195 00:10:30,200 --> 00:10:30,800 Speaker 6: be the felony. 196 00:10:31,360 --> 00:10:35,240 Speaker 2: Is Hope Hicks testimony then more credible than Michael Cohen 197 00:10:35,320 --> 00:10:39,160 Speaker 2: or Stormy Daniels because of her prior relationship with Donald Trump. 198 00:10:39,200 --> 00:10:40,760 Speaker 2: That's been the conventional wisdom. 199 00:10:40,480 --> 00:10:42,319 Speaker 6: Here, prior and current relationship. 200 00:10:42,559 --> 00:10:43,839 Speaker 5: You can are they still close? 201 00:10:44,720 --> 00:10:47,959 Speaker 6: Well, they're not enemies. She has no axigrind. I don't 202 00:10:48,000 --> 00:10:50,440 Speaker 6: know how close they are, but she has no axagrind. 203 00:10:50,480 --> 00:10:53,360 Speaker 6: That's why she's powerful for the state. You see, the 204 00:10:53,520 --> 00:10:56,199 Speaker 6: defense is going to try to discredit Michael Cohen, the 205 00:10:56,280 --> 00:10:58,360 Speaker 6: key witness, by saying, you guys hate each other, Michael 206 00:10:58,360 --> 00:11:01,240 Speaker 6: Cohen has prior felonies, all that stuff. They're going to 207 00:11:01,320 --> 00:11:04,280 Speaker 6: try to discredit David Pecker by saying you're under a 208 00:11:04,320 --> 00:11:07,600 Speaker 6: non prosecution agreement. It's in your incentive to deal with 209 00:11:07,640 --> 00:11:10,640 Speaker 6: the prosecuers and makeup stuff. And they've already tried to 210 00:11:10,640 --> 00:11:14,120 Speaker 6: discredit Davidson, Keith Davidson by saying you're a sleezebag, You 211 00:11:14,160 --> 00:11:17,520 Speaker 6: have sleez bag clients, You travel in this sleazy world 212 00:11:17,520 --> 00:11:19,880 Speaker 6: of paparazzi. Of course Trump travel in that world too, 213 00:11:20,520 --> 00:11:22,440 Speaker 6: but with Hope picks. What do they have? They have 214 00:11:22,520 --> 00:11:25,760 Speaker 6: a loyalist who's trying to do the right thing apparently 215 00:11:25,760 --> 00:11:28,280 Speaker 6: and tell the truth, although sometimes her memory seems to 216 00:11:28,320 --> 00:11:29,280 Speaker 6: be faltering, got it? 217 00:11:29,320 --> 00:11:31,520 Speaker 2: So what does cross examination look like for her? 218 00:11:31,559 --> 00:11:34,040 Speaker 6: Then they're going to try to poke holes in her testimony. 219 00:11:34,160 --> 00:11:36,360 Speaker 6: They're probably going to treat with kid gloves, Yeah, okay, 220 00:11:36,360 --> 00:11:37,960 Speaker 6: And they're going to try to say, you don't remember this, 221 00:11:38,040 --> 00:11:39,040 Speaker 6: you don't remember that, do you? 222 00:11:39,240 --> 00:11:39,600 Speaker 8: Yes? 223 00:11:40,200 --> 00:11:43,040 Speaker 6: And that's where they'll try to say, like, you know, 224 00:11:43,080 --> 00:11:45,120 Speaker 6: you can't rely on her to corroborate Michael Cohen when 225 00:11:45,240 --> 00:11:47,200 Speaker 6: she doesn't remember a lot of these specifics. 226 00:11:47,280 --> 00:11:49,880 Speaker 2: How about that there's a gag order ruling that we're 227 00:11:49,880 --> 00:11:53,560 Speaker 2: waiting for a second gag order ruling as well. Four 228 00:11:53,600 --> 00:11:59,000 Speaker 2: more violations alleged the hearing yesterday. Does that mean another 229 00:11:59,040 --> 00:12:02,400 Speaker 2: four thousand dollars which Donald Trump would probably write at 230 00:12:02,440 --> 00:12:03,080 Speaker 2: dinner anyway. 231 00:12:03,440 --> 00:12:06,240 Speaker 6: Yeah, it's pocket change for him, you know, as long 232 00:12:06,280 --> 00:12:08,800 Speaker 6: as they're going to find him, and they're pretty limited 233 00:12:08,840 --> 00:12:10,199 Speaker 6: to how much they can find him. They've got the 234 00:12:10,240 --> 00:12:13,600 Speaker 6: statute for one thousand dollars per violation, and Dug Mashawan 235 00:12:13,800 --> 00:12:16,199 Speaker 6: is stuck. If he really wants to ratchet it up. 236 00:12:16,280 --> 00:12:18,120 Speaker 6: He could put him in time out. They have like 237 00:12:18,120 --> 00:12:21,760 Speaker 6: a little holding cell inside that courtroom inside the Yeah, 238 00:12:21,760 --> 00:12:23,360 Speaker 6: I don't think they'll go to that. I mean, but 239 00:12:23,440 --> 00:12:26,760 Speaker 6: maybe there's no way he's going to be incarcerated pre trial. 240 00:12:26,800 --> 00:12:28,319 Speaker 6: But could he be put in a room to sit 241 00:12:28,360 --> 00:12:29,360 Speaker 6: there for a few hourly? 242 00:12:29,480 --> 00:12:29,720 Speaker 4: Do that? 243 00:12:29,720 --> 00:12:32,560 Speaker 2: Though he's got the authority to do it. The Secret 244 00:12:32,600 --> 00:12:35,160 Speaker 2: Service would have to have some kind of a sidebar, right, 245 00:12:35,240 --> 00:12:35,960 Speaker 2: how would that work? 246 00:12:36,080 --> 00:12:38,560 Speaker 6: And they could just put him in a room by. 247 00:12:38,480 --> 00:12:40,920 Speaker 5: Himself, give him an office and shut the door. Yeah, right, 248 00:12:41,080 --> 00:12:41,560 Speaker 5: time out. 249 00:12:41,600 --> 00:12:44,880 Speaker 6: That'll teach you. Yeah, yeah, So you know, he should 250 00:12:44,880 --> 00:12:46,520 Speaker 6: be treated like everyone else. In my mind, I mean, 251 00:12:46,600 --> 00:12:49,920 Speaker 6: if you violate a court's gag order, you should be sanctioned. 252 00:12:50,120 --> 00:12:53,400 Speaker 6: Defendants in my courthouse, if they criticize the judge or 253 00:12:53,440 --> 00:12:55,839 Speaker 6: witnesses yours, yeah you're done? 254 00:12:55,920 --> 00:12:57,079 Speaker 5: What done? You go to jail? 255 00:12:57,320 --> 00:12:57,400 Speaker 9: Or? 256 00:12:57,760 --> 00:13:00,200 Speaker 2: I mean what if Joe Matthew was standing in there 257 00:13:00,200 --> 00:13:02,200 Speaker 2: and I said that, you know, this guy's a sleezbag 258 00:13:02,280 --> 00:13:03,240 Speaker 2: and did all of that stuff? 259 00:13:03,880 --> 00:13:05,760 Speaker 5: Is there a first warning? I get it. Do I 260 00:13:05,760 --> 00:13:07,800 Speaker 5: start with a fine? Or would you actually lock me up? 261 00:13:07,960 --> 00:13:08,120 Speaker 10: Now? 262 00:13:08,280 --> 00:13:11,040 Speaker 6: They would start with a fine, and they'd a strong warning. 263 00:13:11,080 --> 00:13:14,000 Speaker 6: If you continue to do it, you would be wearing. 264 00:13:14,320 --> 00:13:17,480 Speaker 2: Ten to what now, fifteen violations that would be in jail. 265 00:13:17,559 --> 00:13:19,320 Speaker 6: Yeah, they'd fit you with some steel bracelets. 266 00:13:19,320 --> 00:13:21,480 Speaker 2: Okay, great, I mean, you know, we do need to 267 00:13:21,480 --> 00:13:25,839 Speaker 2: ask these questions, particularly as he talks about the weaponization 268 00:13:26,800 --> 00:13:28,920 Speaker 2: of the justice system, when he is in fact being 269 00:13:28,920 --> 00:13:30,960 Speaker 2: treated better than anyone else would be. 270 00:13:31,080 --> 00:13:33,960 Speaker 6: His supporters say that there's a two tier system of justice. 271 00:13:34,000 --> 00:13:36,680 Speaker 6: I would agree, but not in the way they're thinking. 272 00:13:36,720 --> 00:13:39,360 Speaker 6: I think he's being treated better. And the other defendant 273 00:13:39,400 --> 00:13:43,640 Speaker 6: who did this continually and intentionally violated the courts gag 274 00:13:43,760 --> 00:13:47,839 Speaker 6: order and went after the judge and his daughter, Oh yeah, 275 00:13:48,080 --> 00:13:49,880 Speaker 6: I mean they'd be picking up trash on the side 276 00:13:49,880 --> 00:13:50,439 Speaker 6: of the highway. 277 00:13:50,559 --> 00:13:54,480 Speaker 2: There seems to be a feeling, based on smarter minds 278 00:13:54,520 --> 00:13:57,320 Speaker 2: than mine who come on this program, that this trial 279 00:13:57,480 --> 00:14:00,240 Speaker 2: is not going to need six to eight weeks. We're 280 00:14:00,280 --> 00:14:02,200 Speaker 2: moving along here. What do you think of the timeline 281 00:14:02,240 --> 00:14:02,720 Speaker 2: at this point. 282 00:14:02,840 --> 00:14:06,640 Speaker 6: Judge Marshan is a no nonsense judge. She's moving things along. 283 00:14:07,200 --> 00:14:11,480 Speaker 6: It is pretty telling when Trump was complaining that he 284 00:14:11,520 --> 00:14:13,400 Speaker 6: can't be on the campaign trail because of this. This 285 00:14:13,559 --> 00:14:15,760 Speaker 6: is this is not right. But on the same time 286 00:14:15,760 --> 00:14:18,679 Speaker 6: he's also complaining how quickly the trial is going. So 287 00:14:19,000 --> 00:14:21,040 Speaker 6: you know, whatever it is, it's grievance on both sides. 288 00:14:21,120 --> 00:14:23,320 Speaker 6: Too fast, too slow, it's too cold in the court room. 289 00:14:23,360 --> 00:14:26,560 Speaker 6: Whatever it is, he's being treated unfairly. Bottom line is 290 00:14:26,680 --> 00:14:29,560 Speaker 6: judge's matter, and Judge Murshan wants this thing to get 291 00:14:29,600 --> 00:14:31,040 Speaker 6: finished sooner than later, and it will. 292 00:14:31,160 --> 00:14:34,080 Speaker 2: You know, he made clear yesterday on truth Social that 293 00:14:34,120 --> 00:14:36,560 Speaker 2: he's not been sleeping. Did you see that in the courtroom? 294 00:14:36,880 --> 00:14:37,720 Speaker 5: He said he was like. 295 00:14:37,680 --> 00:14:41,480 Speaker 2: He's closing his beautiful blue eyes. 296 00:14:41,760 --> 00:14:44,480 Speaker 5: Yes, it's taking it all in very poetic. 297 00:14:44,880 --> 00:14:46,760 Speaker 6: You know, he's got to keep up with images, right, 298 00:14:46,800 --> 00:14:49,320 Speaker 6: he's the alpha male, and alpha males don't fall asleep 299 00:14:49,640 --> 00:14:53,240 Speaker 6: during testimony, especially when he's calling the current president's sleepy Joe. 300 00:14:53,240 --> 00:14:56,880 Speaker 6: You can't use that, Moniker if you're falling asleep while 301 00:14:56,880 --> 00:14:57,760 Speaker 6: you're at your own trial. 302 00:14:57,840 --> 00:14:59,640 Speaker 2: I think I heard sleepy done at the White House 303 00:14:59,720 --> 00:15:02,000 Speaker 2: course Bonds dinner, right, that's already out there now. 304 00:15:02,200 --> 00:15:03,920 Speaker 6: Yes, I didn't know he had blew lies by the way. 305 00:15:04,440 --> 00:15:04,840 Speaker 5: He didn't. 306 00:15:05,080 --> 00:15:06,640 Speaker 6: No, I didn't pay that close attention. 307 00:15:06,800 --> 00:15:08,960 Speaker 5: Well, I think he said they're beautiful. 308 00:15:09,240 --> 00:15:10,760 Speaker 6: He did say they're beautiful blue eyes. 309 00:15:10,840 --> 00:15:14,280 Speaker 2: Yeah, so maybe he'll be out of this thing sooner 310 00:15:14,320 --> 00:15:18,680 Speaker 2: than he thinks. At what point when this trial, when 311 00:15:18,680 --> 00:15:22,360 Speaker 2: the testimony resumes, how long will we wait for this 312 00:15:22,400 --> 00:15:23,160 Speaker 2: to go to the jury. 313 00:15:23,160 --> 00:15:24,520 Speaker 5: What's that process going to be like? 314 00:15:24,880 --> 00:15:27,320 Speaker 6: After the testimony is over, you'll have closing arguments and 315 00:15:27,360 --> 00:15:29,520 Speaker 6: then it goes to the jury right after the judge 316 00:15:29,560 --> 00:15:32,040 Speaker 6: reads the jury instructions, and then we'll see if you 317 00:15:32,040 --> 00:15:34,720 Speaker 6: can get a unanimous twelve member jury to agree on 318 00:15:34,760 --> 00:15:37,680 Speaker 6: a verdict. It could be a hung jury, and I 319 00:15:37,720 --> 00:15:40,320 Speaker 6: do think though it's very unlikely to be an acquittal. 320 00:15:40,400 --> 00:15:42,720 Speaker 6: The evidence that I've seen, the witnesses i've seen him 321 00:15:42,720 --> 00:15:45,360 Speaker 6: been pretty powerful. So if I had a guess, I 322 00:15:45,400 --> 00:15:47,520 Speaker 6: would say this is headed towards a conviction. Now. I 323 00:15:47,560 --> 00:15:49,720 Speaker 6: don't think he's going to serve any prison time for this. 324 00:15:49,760 --> 00:15:52,120 Speaker 6: I think he gets probation or maybe house arrests at most, 325 00:15:52,120 --> 00:15:54,640 Speaker 6: but he'll appeal whatever the final vertical will be. 326 00:15:54,680 --> 00:15:57,240 Speaker 2: Anyways, if he's found guilty, though, and he's brought in, 327 00:15:57,560 --> 00:15:59,280 Speaker 2: he's brought into the courthouse for all of that stuff 328 00:15:59,280 --> 00:16:00,760 Speaker 2: there he is, he's going to end up in a 329 00:16:00,840 --> 00:16:03,480 Speaker 2: room at some point that day, right, I mean, what 330 00:16:03,880 --> 00:16:09,320 Speaker 2: happens if he's found guilty and he's not given jail time. 331 00:16:10,080 --> 00:16:11,760 Speaker 2: Does he just walk out of there and get in 332 00:16:11,840 --> 00:16:13,680 Speaker 2: the suv or there's still going to be a long 333 00:16:13,760 --> 00:16:16,080 Speaker 2: day for him to do whatever is done with the 334 00:16:16,120 --> 00:16:17,120 Speaker 2: paperwork at the rest of it. 335 00:16:17,240 --> 00:16:19,560 Speaker 6: Yeah, he'll get processed, but he'll leave, He'll go home. 336 00:16:19,600 --> 00:16:22,440 Speaker 6: He's not going to be remanded to back into a 337 00:16:22,520 --> 00:16:25,000 Speaker 6: jail cell. And then he'll come back for sentencing, which 338 00:16:25,000 --> 00:16:27,440 Speaker 6: could take place a month later. And then the sentencing 339 00:16:27,480 --> 00:16:29,360 Speaker 6: I think will will not force him into jail. And 340 00:16:29,400 --> 00:16:32,400 Speaker 6: even if they did say your sentence includes incarceration, he 341 00:16:32,440 --> 00:16:35,600 Speaker 6: will appeal and then the appeals will last well beyond 342 00:16:35,640 --> 00:16:36,080 Speaker 6: the election. 343 00:16:36,280 --> 00:16:36,720 Speaker 5: I got it. 344 00:16:36,760 --> 00:16:40,600 Speaker 9: You're going to the courthouse now I'm flying home, okay. Yeah, man, 345 00:16:40,680 --> 00:16:42,880 Speaker 9: going back party in Palm Beach this week, and you 346 00:16:42,920 --> 00:16:46,120 Speaker 9: heard about that, right. Did you get invited, Marla, A 347 00:16:46,120 --> 00:16:47,120 Speaker 9: big Deep Steaks party. 348 00:16:47,320 --> 00:16:49,320 Speaker 6: Yeah, But somehow my invitation I think was. 349 00:16:49,320 --> 00:16:52,640 Speaker 2: Awso the man, I think it's is it in Hollywood floor, No, 350 00:16:52,680 --> 00:16:53,400 Speaker 2: it's in Palm Beach. 351 00:16:54,320 --> 00:16:55,240 Speaker 5: I didn't get mine either. 352 00:16:55,400 --> 00:16:55,600 Speaker 4: Yeah. 353 00:16:55,640 --> 00:16:58,400 Speaker 6: Also, I'm not eligible to be VP because if you 354 00:16:58,440 --> 00:17:01,560 Speaker 6: come from the same state. Your electoral votes in Florida 355 00:17:01,560 --> 00:17:02,120 Speaker 6: will be tossed. 356 00:17:02,120 --> 00:17:04,320 Speaker 5: Marco Rubio is going to move to another state, is 357 00:17:04,320 --> 00:17:04,760 Speaker 5: what I heard? 358 00:17:04,840 --> 00:17:08,080 Speaker 6: Yeah, Yes, Marco Rubio is the VP nominee. I will 359 00:17:08,400 --> 00:17:11,160 Speaker 6: eat my ID badge that they gave me today at Bloomberg. 360 00:17:11,160 --> 00:17:13,040 Speaker 2: If you're with us on YouTube, you see still he's 361 00:17:13,080 --> 00:17:14,840 Speaker 2: got the coolest pin in the room. Someday I want 362 00:17:14,840 --> 00:17:17,400 Speaker 2: one of those with the badge. Dave Ehrenberg, Palm Beach 363 00:17:17,440 --> 00:17:21,040 Speaker 2: County State Attorney, a great help to us getting through 364 00:17:21,080 --> 00:17:23,480 Speaker 2: this legal saga. And it's great to see you in person. 365 00:17:23,560 --> 00:17:26,240 Speaker 2: Dave here in New York at home safe. I'm Joe 366 00:17:26,280 --> 00:17:28,560 Speaker 2: Matthew at World Headquarters. This is balance of power. As 367 00:17:28,600 --> 00:17:31,719 Speaker 2: we add the voice of Tim O'Brien, What a perfect 368 00:17:31,800 --> 00:17:34,639 Speaker 2: day to have the senior executive editor of Bloomberg Opinion, 369 00:17:34,640 --> 00:17:36,760 Speaker 2: who of course wrote the book on Donald Trump. And Tim, 370 00:17:36,800 --> 00:17:38,919 Speaker 2: it's great to see you, welcome back. What is it 371 00:17:38,960 --> 00:17:42,320 Speaker 2: like for Donald Trump to see loyalists like Hope Hicks 372 00:17:42,880 --> 00:17:43,960 Speaker 2: sit on the stand today. 373 00:17:46,119 --> 00:17:48,800 Speaker 11: Well, I think he has to weigh whether people who 374 00:17:48,840 --> 00:17:53,320 Speaker 11: have traditionally been loyalists Joe are willing to sacrifice themselves 375 00:17:53,800 --> 00:17:56,520 Speaker 11: to someone who's always ed loyalty as a one way street, 376 00:17:57,640 --> 00:17:59,360 Speaker 11: and there are a lot of people around whom are 377 00:17:59,359 --> 00:18:02,040 Speaker 11: loyal to him, but they haven't been tested in a 378 00:18:02,119 --> 00:18:04,600 Speaker 11: court room. And I think one of the complications for 379 00:18:04,680 --> 00:18:07,760 Speaker 11: Hope Picks is she doesn't want to perjure herself in 380 00:18:07,880 --> 00:18:09,600 Speaker 11: this trial. 381 00:18:09,880 --> 00:18:12,000 Speaker 4: She really has nothing at stake. 382 00:18:11,800 --> 00:18:16,159 Speaker 11: Because she was a message bearer for Donald Trump. But 383 00:18:16,320 --> 00:18:21,359 Speaker 11: if she lied about things she knew about his relationship 384 00:18:21,440 --> 00:18:24,360 Speaker 11: with either of the women, and there's there's material evidence 385 00:18:24,359 --> 00:18:27,359 Speaker 11: that maybe what she said publicly was at odds with 386 00:18:27,800 --> 00:18:30,760 Speaker 11: what was an email or other people witnessed, I think 387 00:18:30,760 --> 00:18:35,320 Speaker 11: that she'll probably not want a toy with that reality 388 00:18:35,480 --> 00:18:39,080 Speaker 11: and run into deeper trouble simply in the interests of 389 00:18:39,119 --> 00:18:43,879 Speaker 11: being loyal to Donald Trump. So I assume she's speaking 390 00:18:43,880 --> 00:18:46,040 Speaker 11: her mind up there. I've been following it. I was 391 00:18:46,040 --> 00:18:48,840 Speaker 11: in the courtroom yesterday. I wasn't there today, and I'm 392 00:18:48,840 --> 00:18:52,320 Speaker 11: following her testimony right now at a distance, and she 393 00:18:53,080 --> 00:18:56,880 Speaker 11: seems to be preceding apace, and I have to believe 394 00:18:57,359 --> 00:18:59,359 Speaker 11: that that absolutely ranked as Donald Trump. 395 00:18:59,400 --> 00:19:03,359 Speaker 2: Did you say you there yesterday, Tim, Yeah, I've gone on. 396 00:19:03,359 --> 00:19:05,920 Speaker 11: I've been I've been at the courthouse several times. Now, yeah, 397 00:19:05,920 --> 00:19:06,880 Speaker 11: and I was there yesterday. 398 00:19:07,320 --> 00:19:10,440 Speaker 2: Well, take me into the courtroom, especially with your view, 399 00:19:10,720 --> 00:19:12,400 Speaker 2: what are you seeing that. 400 00:19:14,440 --> 00:19:16,960 Speaker 11: The first thing to recognize, Joe is this is you know, 401 00:19:17,000 --> 00:19:19,720 Speaker 11: this is the criminal court of the New York State 402 00:19:19,800 --> 00:19:24,359 Speaker 11: Supreme Court, and both the civil and criminal branches of 403 00:19:24,400 --> 00:19:30,639 Speaker 11: the court are very bonfire of the vanities, venues populated 404 00:19:30,680 --> 00:19:34,080 Speaker 11: by judges with lots of different personalities, and lots of 405 00:19:34,200 --> 00:19:37,760 Speaker 11: cases have historically moved through those courtrooms that involve powerful 406 00:19:37,840 --> 00:19:41,800 Speaker 11: names in New York and scandalous comings and goings, and 407 00:19:41,840 --> 00:19:44,960 Speaker 11: this is probably one of the most epic cases in 408 00:19:45,000 --> 00:19:47,760 Speaker 11: that context to ever roll through there. And there's a 409 00:19:47,840 --> 00:19:51,000 Speaker 11: huge media gaggle every day. There are no Trump supporters 410 00:19:51,040 --> 00:19:54,359 Speaker 11: at all. He's been saying people are outside protesting with 411 00:19:54,680 --> 00:19:58,240 Speaker 11: It's speak, and virtually like the only guy out there 412 00:19:58,400 --> 00:20:01,359 Speaker 11: is a troubled man with a large bell and a 413 00:20:01,480 --> 00:20:05,159 Speaker 11: cross and some verbies about Trump on his T shirt, 414 00:20:05,200 --> 00:20:08,439 Speaker 11: walking around the park every morning, rigging his bell, starting 415 00:20:08,440 --> 00:20:13,000 Speaker 11: at about seven am, which is typically when I get there. Yeah, 416 00:20:13,160 --> 00:20:17,320 Speaker 11: reporters are shepherded in. There's a main courtroom where some 417 00:20:17,359 --> 00:20:20,240 Speaker 11: of our Bloomberg reporters are, and then there's a joint 418 00:20:20,280 --> 00:20:22,520 Speaker 11: overflow room, and I've been in the overflow room. 419 00:20:23,119 --> 00:20:25,000 Speaker 2: So you haven't made eye contact with him yet. 420 00:20:27,320 --> 00:20:29,880 Speaker 11: No, I have not made eye contact with Donald Trump. 421 00:20:30,040 --> 00:20:32,400 Speaker 11: I'm trying to, you know, I don't know the last time. 422 00:20:32,680 --> 00:20:34,160 Speaker 11: The last time he and I ran into each other 423 00:20:34,200 --> 00:20:36,960 Speaker 11: was at a White House correspondence dinner, the famous one 424 00:20:36,960 --> 00:20:37,720 Speaker 11: where Obama. 425 00:20:38,880 --> 00:20:40,480 Speaker 5: That was a fateful night for our nation. 426 00:20:42,480 --> 00:20:44,960 Speaker 11: If yeah, yeah, if we're to believe that that's when 427 00:20:45,000 --> 00:20:46,680 Speaker 11: Donald Trump decided to make a comeback. 428 00:20:46,720 --> 00:20:48,240 Speaker 4: But I think these other things were at work. 429 00:20:48,760 --> 00:20:52,199 Speaker 2: Yeah, if he gets elected, is the White House correspondents 430 00:20:52,240 --> 00:20:53,200 Speaker 2: dinner back on ice? 431 00:20:56,480 --> 00:20:59,520 Speaker 11: You know, I imagine it is. He has always hated 432 00:21:00,280 --> 00:21:07,600 Speaker 11: black tie events. He famously reporters. He loves reporters. He 433 00:21:07,720 --> 00:21:12,119 Speaker 11: hates bad coverage. He's a media addict. But he authentically 434 00:21:12,240 --> 00:21:15,000 Speaker 11: hates charitable events and black tie events. And you know, 435 00:21:15,040 --> 00:21:18,840 Speaker 11: Manhattan real estate it's lifeblood. Are these fundraisers that the 436 00:21:19,240 --> 00:21:22,800 Speaker 11: elite of the real estate community go to. And I 437 00:21:22,920 --> 00:21:24,400 Speaker 11: used to talk to him. I asked him a number 438 00:21:24,440 --> 00:21:25,360 Speaker 11: of times, why don't. 439 00:21:25,119 --> 00:21:26,720 Speaker 4: You go to these? And I hate those things. 440 00:21:27,080 --> 00:21:29,240 Speaker 11: You wouldn't find me dead in a black eye and 441 00:21:29,280 --> 00:21:31,880 Speaker 11: then in very blue language. He described me what he'd 442 00:21:31,960 --> 00:21:34,080 Speaker 11: rather be doing on a Saturday night that I can't 443 00:21:34,119 --> 00:21:35,200 Speaker 11: share on your radio show. 444 00:21:35,240 --> 00:21:38,240 Speaker 4: Okay, but I think he'd want. 445 00:21:38,200 --> 00:21:40,399 Speaker 11: Nothing to do with the White House Correspondence Center generally. 446 00:21:40,800 --> 00:21:44,560 Speaker 2: Is this wearing on him or is he emboldened by 447 00:21:44,880 --> 00:21:46,560 Speaker 2: being in court four days a week. 448 00:21:49,080 --> 00:21:51,679 Speaker 11: I think the answer is yes to both of those questions, 449 00:21:51,760 --> 00:21:54,440 Speaker 11: but for different reasons. It is absolutely wearing a Donald 450 00:21:54,480 --> 00:21:58,800 Speaker 11: Trump is aged so significantly even since I think twenty 451 00:21:58,840 --> 00:22:01,560 Speaker 11: twenty two, but certainly since twenty twenty, and definitely since 452 00:22:01,560 --> 00:22:05,600 Speaker 11: twenty sixteen. He's a little more hunched over. His hair 453 00:22:05,720 --> 00:22:08,560 Speaker 11: is getting harder to paste in an effective peekaboo way 454 00:22:08,560 --> 00:22:11,400 Speaker 11: on the top of his head. His eyes are pouchy 455 00:22:11,600 --> 00:22:15,600 Speaker 11: and red. He is tired, as we know. He's nodding 456 00:22:15,640 --> 00:22:18,520 Speaker 11: off or at least going into some fugue state of 457 00:22:18,600 --> 00:22:22,920 Speaker 11: meditation during the court proceedings, and he hates being there. 458 00:22:22,960 --> 00:22:24,320 Speaker 4: He's not in control of the script. 459 00:22:24,359 --> 00:22:27,600 Speaker 11: This is the worst reality TV show a reality TV 460 00:22:27,720 --> 00:22:31,840 Speaker 11: star could ever participate in, and he can't control the proceedings. 461 00:22:32,000 --> 00:22:33,960 Speaker 11: So yeah, and he doesn't want to go to jail 462 00:22:34,000 --> 00:22:38,240 Speaker 11: for whatever bravado he puts out there. People close sum 463 00:22:38,280 --> 00:22:39,800 Speaker 11: have said he does not want to go to jail. 464 00:22:40,520 --> 00:22:42,800 Speaker 11: The testimony in this case. He had a porn star 465 00:22:43,280 --> 00:22:45,600 Speaker 11: into the front office of the Trump organization, which is 466 00:22:45,640 --> 00:22:50,800 Speaker 11: on the twenty sixth floor of Trump Tower, and his 467 00:22:50,920 --> 00:22:53,800 Speaker 11: residence where his wife was nursing their four month old child, 468 00:22:53,840 --> 00:22:56,399 Speaker 11: barn is about thirty floors above that. I don't know 469 00:22:56,440 --> 00:22:57,840 Speaker 11: that he wants any of that out in the public, 470 00:22:57,880 --> 00:23:01,159 Speaker 11: and it's there now. Oh no, he doesn't like this. 471 00:23:03,240 --> 00:23:05,960 Speaker 11: On the other hand, I think he also is happy 472 00:23:06,000 --> 00:23:09,480 Speaker 11: to use it as a venue to make his case 473 00:23:09,920 --> 00:23:12,480 Speaker 11: that he's a victim and he's being unfairly prosecuted. 474 00:23:13,359 --> 00:23:15,080 Speaker 2: I'm really glad you could join us today. I didn't 475 00:23:15,080 --> 00:23:17,040 Speaker 2: realize it was your day off of court. Tim, thank 476 00:23:17,080 --> 00:23:21,240 Speaker 2: you for being there for us as you bring your 477 00:23:21,280 --> 00:23:24,720 Speaker 2: thoughts to Bloomberg Opinion. Find him on the terminal OPI 478 00:23:24,840 --> 00:23:27,240 Speaker 2: and go or at Bloomberg dot com. Tim O'Brien, Bloomberg 479 00:23:27,240 --> 00:23:30,040 Speaker 2: Opinion Senior executive editor, who, as I mentioned, wrote the 480 00:23:30,040 --> 00:23:31,800 Speaker 2: book on Donald Trump, and it's great to get his 481 00:23:31,920 --> 00:23:36,920 Speaker 2: view here on social media. The former president quote, contrary 482 00:23:36,960 --> 00:23:40,640 Speaker 2: to the fake news media, I don't fall asleep during 483 00:23:40,680 --> 00:23:47,440 Speaker 2: the crooked DA's witch hunt, especially not today. I simply 484 00:23:47,480 --> 00:23:52,040 Speaker 2: close my beautiful blue eyes, sometimes listen intensely and take 485 00:23:52,080 --> 00:23:54,520 Speaker 2: it all in kind of like here. 486 00:23:54,600 --> 00:23:55,879 Speaker 5: On Bloomberg Radio. 487 00:23:59,240 --> 00:24:02,760 Speaker 1: You're listening to the Bloomberg Balance of Power podcast Ketch 488 00:24:02,880 --> 00:24:05,800 Speaker 1: just live weekdays at newon Eastern on Appo, CarPlay and 489 00:24:05,800 --> 00:24:08,959 Speaker 1: then Roudoro with the Bloomberg Business app. Listen on demand 490 00:24:09,000 --> 00:24:14,520 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 491 00:24:15,040 --> 00:24:18,160 Speaker 2: Following the release of this job's report, the headline says, 492 00:24:18,200 --> 00:24:21,000 Speaker 2: at all US jobs post smallest gain in six months 493 00:24:21,040 --> 00:24:24,880 Speaker 2: as unemployment rises. We got reaction earlier today on Bloomberg 494 00:24:24,920 --> 00:24:28,600 Speaker 2: TV and Radio from the Acting Labor Secretary Julie Sue. 495 00:24:28,640 --> 00:24:32,840 Speaker 12: Here, she is wage gains continue to outpace inflation. That 496 00:24:32,920 --> 00:24:36,320 Speaker 12: means that there's more money in workers' pockets. This is obviously, 497 00:24:36,359 --> 00:24:39,080 Speaker 12: as you say, this is a sign of how good 498 00:24:39,080 --> 00:24:42,080 Speaker 12: people feel, and a good job changes lives, and a 499 00:24:42,119 --> 00:24:44,720 Speaker 12: good jobs with wages that are enough to sustain a 500 00:24:44,800 --> 00:24:48,920 Speaker 12: family are really important, and we continue to combat inflation 501 00:24:49,119 --> 00:24:50,040 Speaker 12: and high prices. 502 00:24:52,000 --> 00:24:55,399 Speaker 13: Reaction from the Labor Department today. Now, let's get reaction 503 00:24:55,480 --> 00:24:57,600 Speaker 13: from the White House. Joining us now from the North 504 00:24:57,680 --> 00:25:00,320 Speaker 13: Lawn on Bloomberg TV. And radio is Heather Bousche, member 505 00:25:00,359 --> 00:25:03,280 Speaker 13: of the Council of Economic Advisors. Heather, thank you so 506 00:25:03,359 --> 00:25:07,400 Speaker 13: much for being here on Bloomberg. Obviously, while we did 507 00:25:07,440 --> 00:25:11,600 Speaker 13: see some softening, perhaps it is not all too unexpected. 508 00:25:11,640 --> 00:25:13,639 Speaker 13: The fact of the matter remains, though, that employment is 509 00:25:13,640 --> 00:25:16,680 Speaker 13: something of a lagging indicator. If we're starting to see 510 00:25:16,720 --> 00:25:19,879 Speaker 13: the softness show up in a more material way, now, 511 00:25:20,040 --> 00:25:22,679 Speaker 13: where do you expect that we will be by November? 512 00:25:24,000 --> 00:25:27,840 Speaker 8: Well, today's report is really good news. You know, the 513 00:25:27,840 --> 00:25:30,280 Speaker 8: Secretary talk the Acting Secretary talked about it. You know, 514 00:25:30,359 --> 00:25:33,520 Speaker 8: we have seen this unemployment rate below four percent for 515 00:25:33,640 --> 00:25:37,120 Speaker 8: whopping twenty seven months. That's the longest stretch going back 516 00:25:37,160 --> 00:25:39,919 Speaker 8: over half a century. And we don't see a lot 517 00:25:39,960 --> 00:25:42,560 Speaker 8: of signs of softening. When you dig under the hood 518 00:25:43,040 --> 00:25:45,760 Speaker 8: you look at the report. For example, we've seen that 519 00:25:45,840 --> 00:25:47,800 Speaker 8: for women who are between the ages of twenty five 520 00:25:47,800 --> 00:25:51,800 Speaker 8: and fifty four, so the working age population, their labor 521 00:25:51,800 --> 00:25:55,800 Speaker 8: force participation and their employment rates have hit serious high 522 00:25:55,880 --> 00:25:58,320 Speaker 8: going back to nineteen forty eight when Rosie the Riveter 523 00:25:58,400 --> 00:26:00,560 Speaker 8: went home. And of course we also saw the block 524 00:26:00,640 --> 00:26:03,320 Speaker 8: unemployment rate fall last month. So when you dig in, 525 00:26:03,400 --> 00:26:05,560 Speaker 8: you actually see signs of people coming back into the 526 00:26:05,600 --> 00:26:09,080 Speaker 8: labor force. You see, you know, a strong labor market 527 00:26:09,119 --> 00:26:11,680 Speaker 8: overall at that steady pace that we need to see 528 00:26:11,720 --> 00:26:13,280 Speaker 8: at this point in the economic recovery. 529 00:26:13,440 --> 00:26:16,840 Speaker 2: So slow and steady have been the magic words from 530 00:26:16,880 --> 00:26:19,280 Speaker 2: you from the get go, Heather, As we've been talking 531 00:26:19,320 --> 00:26:22,880 Speaker 2: about this since the very start of this administration, as 532 00:26:22,920 --> 00:26:25,760 Speaker 2: we consider the idea of a soft landing, is this 533 00:26:26,400 --> 00:26:30,400 Speaker 2: actually more the definition of stable growth? 534 00:26:31,520 --> 00:26:33,240 Speaker 8: This is what you want to see at this point 535 00:26:33,280 --> 00:26:35,679 Speaker 8: in recovery. You know, our analysis at the Council of 536 00:26:35,680 --> 00:26:38,560 Speaker 8: Economic Advisors is that you need about one hundred thousand 537 00:26:38,600 --> 00:26:41,439 Speaker 8: jobs per month just to keep pace with population growth. 538 00:26:41,640 --> 00:26:43,600 Speaker 8: And at one hundred and seventy five thousand, you know, 539 00:26:43,600 --> 00:26:45,480 Speaker 8: in two hundred and forty some one thousand over the 540 00:26:45,520 --> 00:26:48,840 Speaker 8: past three months, we are certainly above that basic pace. 541 00:26:49,320 --> 00:26:52,840 Speaker 8: And you know, we continue to see healthy gains in wages. 542 00:26:53,080 --> 00:26:55,760 Speaker 8: They've been abating in recent months, but certainly you see 543 00:26:55,760 --> 00:26:58,560 Speaker 8: those steady gains and particularly those stronger gains for the 544 00:26:58,560 --> 00:27:01,719 Speaker 8: bottom eighty percent of the labor market that are production 545 00:27:01,760 --> 00:27:04,680 Speaker 8: and non supervisory employees. These are the kinds of gains 546 00:27:04,720 --> 00:27:07,000 Speaker 8: that we want to see month after month, people being 547 00:27:07,000 --> 00:27:09,080 Speaker 8: able to go out there and get a job. That 548 00:27:09,160 --> 00:27:12,119 Speaker 8: low unemployment rate, those jobs that are being available but 549 00:27:12,200 --> 00:27:14,480 Speaker 8: yet not so hot that it's overheating the economy. 550 00:27:15,800 --> 00:27:18,480 Speaker 13: Well, how they're speaking of what we've seen month over month, 551 00:27:18,640 --> 00:27:21,760 Speaker 13: as you alluded to the statistic twenty seven months in 552 00:27:21,800 --> 00:27:25,119 Speaker 13: a row with an unemployment rate below four percent. When 553 00:27:25,160 --> 00:27:28,280 Speaker 13: you're modeling out what's going to happen to unemployment as 554 00:27:28,320 --> 00:27:30,359 Speaker 13: we move forward, when are we going to be breaking 555 00:27:30,400 --> 00:27:32,800 Speaker 13: above that four percent level. 556 00:27:33,680 --> 00:27:35,920 Speaker 8: Well, I'd like to see us break the next record 557 00:27:35,960 --> 00:27:38,600 Speaker 8: in that streak going so it's not just going back 558 00:27:38,640 --> 00:27:40,800 Speaker 8: for more than fifty years, but going back more than that. 559 00:27:41,440 --> 00:27:43,920 Speaker 8: You know, certainly, you know the president's goal from day 560 00:27:43,960 --> 00:27:46,080 Speaker 8: one was to get people back to work, keep that 561 00:27:46,160 --> 00:27:50,359 Speaker 8: unemployment rate low. That is what helps boost wages across 562 00:27:50,359 --> 00:27:53,160 Speaker 8: the country, makes it easy for folks who are out 563 00:27:53,160 --> 00:27:55,080 Speaker 8: there who want a job to get into the labor market, 564 00:27:55,160 --> 00:27:57,399 Speaker 8: to find that work, to switch jobs, and so we 565 00:27:57,440 --> 00:28:00,080 Speaker 8: certainly want to see that unemployment rate kept in that 566 00:28:00,160 --> 00:28:02,960 Speaker 8: low space. It's one of the goals of what we 567 00:28:03,119 --> 00:28:07,199 Speaker 8: mean by a strong, stable jobs recovery. And I just 568 00:28:07,240 --> 00:28:09,440 Speaker 8: want to emphasize that one of the things that we've 569 00:28:09,440 --> 00:28:12,320 Speaker 8: seen that I think has been really impressive in this recovery, 570 00:28:12,359 --> 00:28:14,800 Speaker 8: of course, has been that we've hit these historic lows 571 00:28:14,880 --> 00:28:18,800 Speaker 8: for black unemployment rate in the gap in the unemployment 572 00:28:18,840 --> 00:28:21,880 Speaker 8: rate across states. We aren't at those lows right this month, 573 00:28:21,880 --> 00:28:24,480 Speaker 8: but we have seen those, you know, over the past year, 574 00:28:24,760 --> 00:28:26,840 Speaker 8: and being able to see this kind of recovery that's 575 00:28:26,840 --> 00:28:30,200 Speaker 8: giving so much opportunity to people all across the country 576 00:28:30,359 --> 00:28:33,280 Speaker 8: in a way that is equitable and is reaching into 577 00:28:33,320 --> 00:28:35,720 Speaker 8: pockets of the economy that this is exactly what the 578 00:28:35,720 --> 00:28:37,679 Speaker 8: President wants to see. It's good for the American people. 579 00:28:39,000 --> 00:28:41,400 Speaker 13: Well, Heather, I fully understand that the President would like 580 00:28:41,440 --> 00:28:44,560 Speaker 13: to see unemployment remaining below four percent. Is just a 581 00:28:44,640 --> 00:28:46,520 Speaker 13: question of whether or not that's going to continue to 582 00:28:46,560 --> 00:28:49,760 Speaker 13: be realistic if we're talking about policy that is still 583 00:28:49,840 --> 00:28:52,600 Speaker 13: tight and the lagged effects of the tightening that we've 584 00:28:52,640 --> 00:28:56,120 Speaker 13: seen starting to kick in more substantially. I just wonder 585 00:28:56,160 --> 00:29:00,640 Speaker 13: if realistically you think unemployment can stay this low, still 586 00:29:00,680 --> 00:29:02,920 Speaker 13: remain this high for much longer. 587 00:29:03,960 --> 00:29:06,440 Speaker 8: Well, you know, I cannot comment on FED policy, which 588 00:29:06,480 --> 00:29:08,760 Speaker 8: I think is implicit in this question. I think you know, 589 00:29:08,800 --> 00:29:11,760 Speaker 8: what we are looking to see is the President has 590 00:29:11,840 --> 00:29:14,520 Speaker 8: made all of these investments all across the United States, 591 00:29:14,560 --> 00:29:18,280 Speaker 8: investments in infrastructure, investments in new technology and manufacturing and 592 00:29:18,320 --> 00:29:20,760 Speaker 8: good jobs, and we are still seeing those play out. 593 00:29:20,840 --> 00:29:24,800 Speaker 8: We have had these very high numbers for investment, investment 594 00:29:24,880 --> 00:29:27,120 Speaker 8: in the construction of new manufacturing facilities. 595 00:29:27,520 --> 00:29:28,600 Speaker 4: We are seeing. 596 00:29:30,040 --> 00:29:32,760 Speaker 8: Shovels in the ground for all these infrastructure projects, and 597 00:29:32,800 --> 00:29:36,160 Speaker 8: so I remain optimistic that as we see this recovery progress, 598 00:29:36,200 --> 00:29:38,920 Speaker 8: we'll be able to keep this kind of steady job gains. 599 00:29:39,560 --> 00:29:42,160 Speaker 8: We've been able to deliver this for years now, and 600 00:29:42,240 --> 00:29:44,560 Speaker 8: this is the economy. It's been a little engine that could. 601 00:29:44,760 --> 00:29:46,680 Speaker 8: But we have a lot of you know, investment that 602 00:29:46,800 --> 00:29:48,640 Speaker 8: still has yet to come, and hopefully that will give 603 00:29:48,680 --> 00:29:50,840 Speaker 8: some strength to the labor market. And we're starting from 604 00:29:51,000 --> 00:29:52,680 Speaker 8: very solid foundation here. 605 00:29:52,720 --> 00:29:55,320 Speaker 2: Spending time with Heather Bouchet, who's talking with us live 606 00:29:55,360 --> 00:29:58,280 Speaker 2: from the White House on Bloomberg TV and Radio. Heather, 607 00:29:58,360 --> 00:30:00,680 Speaker 2: we started the program with a special con with the 608 00:30:00,680 --> 00:30:03,720 Speaker 2: former Saint Louis FED President Jim Bullard. By the way, 609 00:30:03,760 --> 00:30:06,240 Speaker 2: this is not a question about FED policy, don't worry, 610 00:30:06,280 --> 00:30:08,840 Speaker 2: but he did say that a soft landing for the 611 00:30:08,960 --> 00:30:12,840 Speaker 2: US economy is in view. Do you agree at this point? 612 00:30:12,880 --> 00:30:14,960 Speaker 2: Is it already happening. Is this the type of report 613 00:30:15,000 --> 00:30:15,840 Speaker 2: that confirms that. 614 00:30:17,200 --> 00:30:19,480 Speaker 8: Well, you know, as we have seen month after month, 615 00:30:19,480 --> 00:30:21,320 Speaker 8: and I've talked to you and you know, folks around 616 00:30:21,360 --> 00:30:24,360 Speaker 8: the country about this, this is that kind of stable growth, 617 00:30:25,000 --> 00:30:27,440 Speaker 8: you know, a soft landing implies, you know that we 618 00:30:28,120 --> 00:30:30,280 Speaker 8: already know exactly what's happened, that it's in the rear 619 00:30:30,360 --> 00:30:32,320 Speaker 8: view mirror, but we're living this in real time. So 620 00:30:32,680 --> 00:30:34,440 Speaker 8: I think that you know, as we watch the data 621 00:30:34,480 --> 00:30:36,560 Speaker 8: as we always do, this is the kind of the 622 00:30:36,600 --> 00:30:38,240 Speaker 8: recovery we want to see. And you know, of course, 623 00:30:38,280 --> 00:30:40,200 Speaker 8: on top of it, you know, we have seen that 624 00:30:40,240 --> 00:30:42,480 Speaker 8: you know, prices have come down sixty percent from their peak. 625 00:30:42,680 --> 00:30:44,920 Speaker 8: We've actually seen over the past year the prices for 626 00:30:45,000 --> 00:30:49,480 Speaker 8: some goods facing consumers like milk and eggs and used 627 00:30:49,480 --> 00:30:51,800 Speaker 8: cars and airline fares, you know, those are lower than 628 00:30:51,800 --> 00:30:53,840 Speaker 8: they were a year ago. So we have seen some 629 00:30:53,880 --> 00:30:57,040 Speaker 8: relief for families over time. And I think combined, this 630 00:30:57,240 --> 00:30:59,080 Speaker 8: is the kind of you know, trying to find that 631 00:30:59,080 --> 00:31:01,040 Speaker 8: sweet spot where you can keep growing and you keep 632 00:31:01,040 --> 00:31:03,760 Speaker 8: adding jobs and you keep making sure that workers receive 633 00:31:03,800 --> 00:31:05,240 Speaker 8: their fair pay. 634 00:31:06,440 --> 00:31:09,080 Speaker 13: Heather, we were speaking earlier this week with someone from 635 00:31:09,120 --> 00:31:13,200 Speaker 13: the groundwork collaborative. It used to work alongside Elizabeth Warren 636 00:31:13,200 --> 00:31:15,600 Speaker 13: when we were talking about the way that FED policy, 637 00:31:15,640 --> 00:31:18,120 Speaker 13: which I won't ask you to comment on directly what 638 00:31:18,160 --> 00:31:19,800 Speaker 13: the Fed should do with this policy, but the way 639 00:31:19,840 --> 00:31:21,880 Speaker 13: that it is transmitting in the economy. Now that we 640 00:31:21,920 --> 00:31:24,959 Speaker 13: have seen something of a stagnation in progress in getting 641 00:31:25,240 --> 00:31:30,680 Speaker 13: inflation down, it bears questioning whether or not actually just 642 00:31:30,840 --> 00:31:33,280 Speaker 13: pure interest rate policy is going to be able to 643 00:31:33,280 --> 00:31:35,640 Speaker 13: get us that last mile down to two percent or 644 00:31:35,720 --> 00:31:38,600 Speaker 13: is it going to take something else, like more action 645 00:31:39,240 --> 00:31:40,280 Speaker 13: from this administration. 646 00:31:41,640 --> 00:31:45,000 Speaker 8: Well, you know, this president has remained committed to lowering 647 00:31:45,640 --> 00:31:48,040 Speaker 8: you know, pain points for families in terms of prices 648 00:31:48,040 --> 00:31:51,080 Speaker 8: across the economy, is taking a series of steps, you know, 649 00:31:51,320 --> 00:31:53,960 Speaker 8: a series of steps for example on junk fees, you know, 650 00:31:54,040 --> 00:31:57,120 Speaker 8: making it possible for you know, consumers to not face 651 00:31:57,240 --> 00:31:59,600 Speaker 8: those fees that just add up those hidden fate those 652 00:31:59,680 --> 00:32:01,960 Speaker 8: hidden fees. You know. I often think of, you know, 653 00:32:01,960 --> 00:32:04,760 Speaker 8: what the Consumer Financial Protection Bureau is done with credit 654 00:32:04,760 --> 00:32:08,280 Speaker 8: card fees for consumers. But that's just one example of 655 00:32:08,440 --> 00:32:10,440 Speaker 8: the variety of the ways that the President is focused 656 00:32:10,480 --> 00:32:12,880 Speaker 8: on lowering prices. Name about what he's done to lower 657 00:32:12,920 --> 00:32:15,680 Speaker 8: prescription drug prices, lower the price of insulin, lower the 658 00:32:15,680 --> 00:32:18,440 Speaker 8: price of health care for families. You know, all of 659 00:32:18,480 --> 00:32:22,280 Speaker 8: this adds up and gives relief to families pocketbooks. The 660 00:32:22,320 --> 00:32:25,240 Speaker 8: President has been focused on creating these jobs and you 661 00:32:25,360 --> 00:32:28,480 Speaker 8: addressing real problems facing families all across the country. 662 00:32:29,000 --> 00:32:32,600 Speaker 2: Heather, it's hard to underscore the impact that immigration is 663 00:32:32,680 --> 00:32:35,200 Speaker 2: having on our job market right now. It's born out 664 00:32:35,200 --> 00:32:37,640 Speaker 2: in the numbers, and I wonder to what extent the 665 00:32:37,680 --> 00:32:40,960 Speaker 2: White House will make the case in the coming months, 666 00:32:40,960 --> 00:32:44,959 Speaker 2: in the coming days that immigration is an important driver 667 00:32:45,480 --> 00:32:48,160 Speaker 2: of our job market and is in fact having an 668 00:32:48,200 --> 00:32:51,400 Speaker 2: impact potentially for the better on inflation. 669 00:32:51,480 --> 00:32:54,320 Speaker 8: How would you answer that, Well, you know, the President 670 00:32:54,400 --> 00:32:56,720 Speaker 8: came into office, he had an immigration plan that he 671 00:32:56,800 --> 00:32:59,480 Speaker 8: released on day one. You know, he has worked to 672 00:32:59,520 --> 00:33:03,120 Speaker 8: find sensible solutions here. You know, certainly, what we want 673 00:33:03,160 --> 00:33:04,600 Speaker 8: to see in the labor market is you want to 674 00:33:04,600 --> 00:33:06,520 Speaker 8: see those folks who are on the sidelines, who want 675 00:33:06,560 --> 00:33:08,600 Speaker 8: to get into the labor force, you know, get access 676 00:33:08,600 --> 00:33:10,440 Speaker 8: to those jobs. It's why I point into the fact 677 00:33:10,440 --> 00:33:13,000 Speaker 8: that you have this historic high and labor force participation 678 00:33:13,440 --> 00:33:15,800 Speaker 8: among women between the ages of twenty five to fifty four, 679 00:33:15,800 --> 00:33:19,240 Speaker 8: and you've seen good numbers on labor force participation. More generally, 680 00:33:19,680 --> 00:33:22,360 Speaker 8: that's people coming into the labor market seeing those those 681 00:33:22,440 --> 00:33:23,880 Speaker 8: economic opportunities. 682 00:33:24,880 --> 00:33:27,800 Speaker 2: Heather Bouchet of the White House Council of Economic Advisors 683 00:33:27,840 --> 00:33:29,720 Speaker 2: with us live from the North Lawn at the White House. Heather, 684 00:33:29,800 --> 00:33:32,080 Speaker 2: it's great to see you. Thanks for coming back to 685 00:33:32,120 --> 00:33:34,080 Speaker 2: talk to us today on balance of power. I'm Joe 686 00:33:34,080 --> 00:33:37,400 Speaker 2: Matthew in New York. Kayley Lines is in Washington, and Kayley, 687 00:33:37,520 --> 00:33:40,640 Speaker 2: it's just a remarkable reminder on what a difference a 688 00:33:40,720 --> 00:33:44,880 Speaker 2: single day's data could make on sentiment, if not infestrates themselves. 689 00:33:46,360 --> 00:33:48,280 Speaker 13: Yeah, I mean, think about the round trip we have 690 00:33:48,360 --> 00:33:51,240 Speaker 13: made in terms of expectations for FED cuts, which Heather 691 00:33:51,280 --> 00:33:54,000 Speaker 13: Bouche would not talk to us about. We started the 692 00:33:54,080 --> 00:33:56,760 Speaker 13: year thinking the Fed might cut up to six times, 693 00:33:57,160 --> 00:33:59,000 Speaker 13: then we were down to one cut. It seems that 694 00:33:59,000 --> 00:34:01,040 Speaker 13: we're pricing more of them back in on what many 695 00:34:01,040 --> 00:34:03,560 Speaker 13: are saying is of Goldilock's jobs report. And we know, 696 00:34:03,640 --> 00:34:06,920 Speaker 13: Joe that President Biden is standing by his prediction last 697 00:34:06,920 --> 00:34:09,479 Speaker 13: we heard that there will be rate cuts this year. 698 00:34:09,640 --> 00:34:12,200 Speaker 2: Well, he may seem pressient at this point, and we 699 00:34:12,200 --> 00:34:15,000 Speaker 2: all know this has a direct impact to what is 700 00:34:15,040 --> 00:34:18,239 Speaker 2: happening on the campaign trail, and where we're going to be, say, 701 00:34:18,320 --> 00:34:22,800 Speaker 2: post Labor Day, when people really start paying attention, Kaylee. 702 00:34:22,840 --> 00:34:26,640 Speaker 2: Young people who are actually watching interest rates with hopes 703 00:34:26,680 --> 00:34:28,879 Speaker 2: to buy their first home, people who are of course 704 00:34:28,920 --> 00:34:31,480 Speaker 2: looking at the gas pump every time they need to 705 00:34:31,480 --> 00:34:33,040 Speaker 2: fill up their car. All of that's going to really 706 00:34:33,080 --> 00:34:37,799 Speaker 2: start combining and colliding into people making opinions that are 707 00:34:37,800 --> 00:34:41,239 Speaker 2: going to last until November. So they are hoping, no 708 00:34:41,239 --> 00:34:43,799 Speaker 2: matter what they can say or not say about the FED, 709 00:34:43,800 --> 00:34:45,080 Speaker 2: they're hoping that cuts are coming. 710 00:34:47,920 --> 00:34:48,200 Speaker 14: Yeah. 711 00:34:48,239 --> 00:34:50,640 Speaker 13: Absolutely, it's going to make a difference the timing of 712 00:34:50,680 --> 00:34:52,880 Speaker 13: those cuts. And of course we heard from Chairman Powell 713 00:34:53,239 --> 00:34:55,480 Speaker 13: in the press conference earlier this week saying they don't 714 00:34:55,520 --> 00:34:58,279 Speaker 13: think about the political context at all. So all the 715 00:34:58,320 --> 00:35:01,400 Speaker 13: market expectation that be hard to cut in September just 716 00:35:01,440 --> 00:35:04,760 Speaker 13: ahead of the election or November just after it, maybe 717 00:35:04,760 --> 00:35:07,160 Speaker 13: that is a not so much the case if you're 718 00:35:07,160 --> 00:35:08,600 Speaker 13: actually sitting on the FMC. 719 00:35:08,840 --> 00:35:09,200 Speaker 5: That's right. 720 00:35:09,280 --> 00:35:11,680 Speaker 2: Let's assemble the panel to get their take on another 721 00:35:11,719 --> 00:35:14,120 Speaker 2: important news day. Genie Schanzano was with us, of course, 722 00:35:14,280 --> 00:35:18,520 Speaker 2: Bloomberg Politics contributor Democratic Analysts joined today by Republican strategist 723 00:35:18,560 --> 00:35:22,080 Speaker 2: Lisa Camuso Milner, the former RNC communications director at host 724 00:35:22,320 --> 00:35:25,680 Speaker 2: of the Friday Reporter podcast, What's to take here? Genie, 725 00:35:25,680 --> 00:35:27,879 Speaker 2: Goldilocks is a word we keep throwing around. The fact 726 00:35:27,880 --> 00:35:31,240 Speaker 2: of the matter is a slowing job market, not exactly. 727 00:35:31,280 --> 00:35:33,080 Speaker 2: The greatest story for the White House to be telling 728 00:35:33,200 --> 00:35:35,880 Speaker 2: is exactly what they want, isn't it. 729 00:35:35,880 --> 00:35:37,880 Speaker 10: It absolutely is, And I think you could hear it 730 00:35:37,880 --> 00:35:40,200 Speaker 10: in both your great interview with Heather Bouche and the 731 00:35:40,440 --> 00:35:43,279 Speaker 10: and you know Julie Sue's comments. You can hear they 732 00:35:43,280 --> 00:35:46,280 Speaker 10: are elated by this report. It is all good news. 733 00:35:46,320 --> 00:35:48,120 Speaker 10: I mean it was only you know, just a few 734 00:35:48,200 --> 00:35:50,640 Speaker 10: days ago people were saying we wouldn't see a cut 735 00:35:50,719 --> 00:35:53,440 Speaker 10: until after the election. Now the possibility it may come 736 00:35:53,520 --> 00:35:56,760 Speaker 10: earlier has opened up. So that is all good news 737 00:35:56,760 --> 00:36:00,600 Speaker 10: for the White House. From a campaign perspective, I think 738 00:36:00,719 --> 00:36:03,440 Speaker 10: the Biden campaign, and I know they will, has to 739 00:36:03,520 --> 00:36:06,920 Speaker 10: keep their eye on the ball. You cannot tell people 740 00:36:07,040 --> 00:36:11,240 Speaker 10: about good numbers. That is not going to work. So yes, 741 00:36:11,520 --> 00:36:15,080 Speaker 10: you know, all of his supporters and everything else they 742 00:36:15,120 --> 00:36:17,560 Speaker 10: know these numbers are good. But for the people on 743 00:36:17,600 --> 00:36:20,480 Speaker 10: the ground in these key seven states, this is more 744 00:36:20,520 --> 00:36:24,400 Speaker 10: about talking about what Donald Trump has said CNBC. He 745 00:36:24,440 --> 00:36:27,200 Speaker 10: says he's going to cut Social Security. That has to 746 00:36:27,200 --> 00:36:29,520 Speaker 10: go out. They have to be focusing on the threat 747 00:36:29,520 --> 00:36:32,520 Speaker 10: Donald Trump is to the economy, not trying to sell 748 00:36:32,600 --> 00:36:36,279 Speaker 10: Joe Biden's accomplishments. Let the data speak for itself and 749 00:36:36,400 --> 00:36:38,839 Speaker 10: talk about the threat that is looming if people vote 750 00:36:38,840 --> 00:36:42,280 Speaker 10: for Donald Trump. Rather, that's the campaign strategy. 751 00:36:43,680 --> 00:36:46,080 Speaker 13: Well, certainly, when the data was looking better than it 752 00:36:46,120 --> 00:36:48,560 Speaker 13: is now, when we were talking of payrolls growth north 753 00:36:48,600 --> 00:36:51,920 Speaker 13: of three hundred thousand plus, he still wasn't getting credit 754 00:36:51,960 --> 00:36:55,319 Speaker 13: for the economy. So I understand that sentiment. Genie, does 755 00:36:55,360 --> 00:36:58,560 Speaker 13: that mean, Lisa? For Republicans, the economy is going to 756 00:36:58,600 --> 00:37:01,320 Speaker 13: be the best issue. If Biden can't talk about it, 757 00:37:01,440 --> 00:37:03,919 Speaker 13: or talk about it well enough, frame it well enough 758 00:37:03,960 --> 00:37:06,239 Speaker 13: for voters to actually give him credit for it, then 759 00:37:06,400 --> 00:37:08,920 Speaker 13: that's all opportunity to the other side. 760 00:37:09,760 --> 00:37:12,560 Speaker 15: Absolutely, Kelly. I mean, I think more than anything, Genie 761 00:37:12,560 --> 00:37:13,920 Speaker 15: took the words right out of my mouth. I mean, 762 00:37:13,960 --> 00:37:16,520 Speaker 15: regardless of how good the numbers are, you can't tell 763 00:37:16,560 --> 00:37:19,160 Speaker 15: people how the economy is performing if they don't feel 764 00:37:19,160 --> 00:37:21,880 Speaker 15: that way. And so that's why we talk about consumer sentiment. 765 00:37:21,920 --> 00:37:24,320 Speaker 15: And we talk about a variety of other things, because. 766 00:37:24,040 --> 00:37:27,600 Speaker 16: That's really the way that people approach election day, right, 767 00:37:27,680 --> 00:37:32,200 Speaker 16: So Republicans will be doing everything they can to define 768 00:37:32,200 --> 00:37:34,479 Speaker 16: and continue to define this White House is not being 769 00:37:34,480 --> 00:37:37,680 Speaker 16: good on the economy, even though the data says otherwise. 770 00:37:37,920 --> 00:37:39,120 Speaker 6: And so this is the word. 771 00:37:39,200 --> 00:37:40,799 Speaker 16: This is the word verse word. 772 00:37:40,560 --> 00:37:43,160 Speaker 15: Game that's going to happen between now and November in 773 00:37:43,160 --> 00:37:45,920 Speaker 15: a way that's going to get harder and more difficult 774 00:37:45,960 --> 00:37:48,759 Speaker 15: to navigate. So sure, in the playbook for Republicans, it's 775 00:37:48,760 --> 00:37:51,000 Speaker 15: to talk about how Joe Biden's not great for the economy. 776 00:37:51,120 --> 00:37:52,759 Speaker 15: And in the playbook for the Democrats, they're going to 777 00:37:52,760 --> 00:37:54,400 Speaker 15: do the same and talk about how Donald Trump is 778 00:37:54,440 --> 00:37:56,799 Speaker 15: not doing what they need to excuse me, would not 779 00:37:56,880 --> 00:37:58,960 Speaker 15: do what he needs to do in order to continue 780 00:37:59,000 --> 00:37:59,440 Speaker 15: to grow it. 781 00:38:00,120 --> 00:38:04,279 Speaker 2: Let's distill this conversation into a simple question. Jennie Shan say, noh, 782 00:38:04,280 --> 00:38:08,160 Speaker 2: does Joe Biden need interest rate cuts to win reelection? 783 00:38:10,000 --> 00:38:13,600 Speaker 10: You know, they would be amazing, Joe Matthew, that would 784 00:38:13,600 --> 00:38:16,919 Speaker 10: be great. He's hoping for them. You know, he would 785 00:38:16,960 --> 00:38:19,839 Speaker 10: probably tell you he doesn't need them, he can't control them. 786 00:38:20,480 --> 00:38:23,680 Speaker 10: The economy, of course, is gonna matter. But again, there 787 00:38:23,880 --> 00:38:27,719 Speaker 10: is no majority out there just so excited to vote 788 00:38:27,760 --> 00:38:30,600 Speaker 10: for Joe Biden. So the way they have to frame 789 00:38:30,640 --> 00:38:35,080 Speaker 10: this electorally is Donald Trump the threat to everything Joe 790 00:38:35,080 --> 00:38:37,680 Speaker 10: Biden has achieved. And you know, it's hard for us 791 00:38:37,719 --> 00:38:40,680 Speaker 10: not to talk about our own individual accomplishments, which is 792 00:38:40,680 --> 00:38:43,040 Speaker 10: what this campaign wants to do. And Joe Biden, look, 793 00:38:43,080 --> 00:38:45,799 Speaker 10: I did this, this, and this, stop it. Don't talk 794 00:38:45,840 --> 00:38:48,200 Speaker 10: about what you've done, talk about what the other guy 795 00:38:48,320 --> 00:38:52,080 Speaker 10: will do. You're the incumbent. This is a referendum on you. 796 00:38:52,520 --> 00:38:54,719 Speaker 10: He is a threat to what you've achieved. But you've 797 00:38:54,760 --> 00:38:57,400 Speaker 10: got to stop talking about achievements and focus on threat. 798 00:38:58,040 --> 00:38:59,920 Speaker 10: There's no plainer way to say it. And they have 799 00:39:00,120 --> 00:39:02,839 Speaker 10: the benefit of it, you know, having an opponent who 800 00:39:02,840 --> 00:39:05,000 Speaker 10: should keep his mouth shut and let the attention be 801 00:39:05,080 --> 00:39:08,000 Speaker 10: on Joe Biden, but always wants to talk about himself. 802 00:39:08,080 --> 00:39:09,280 Speaker 10: So let him. 803 00:39:10,480 --> 00:39:13,240 Speaker 13: And of course he's in court again today. We'll probably 804 00:39:13,280 --> 00:39:16,360 Speaker 13: hear from him as he's walking out at the end 805 00:39:16,400 --> 00:39:19,279 Speaker 13: of the proceedings today. As usual, Genie Shanzo and Lisa 806 00:39:19,280 --> 00:39:21,160 Speaker 13: Caamusa Miller will be sticking with us. We have much 807 00:39:21,160 --> 00:39:24,240 Speaker 13: more to discuss with them, including Joe another big problem 808 00:39:24,239 --> 00:39:27,400 Speaker 13: for President Biden. The economy is not the only issue 809 00:39:27,440 --> 00:39:30,279 Speaker 13: on the list for this incumbent president. Increasingly it is 810 00:39:30,560 --> 00:39:33,960 Speaker 13: his policy toward Israel and the ramifications of that, including 811 00:39:34,600 --> 00:39:37,360 Speaker 13: what we have seen playing out on college campuses across 812 00:39:37,360 --> 00:39:37,880 Speaker 13: the country. 813 00:39:40,960 --> 00:39:44,319 Speaker 1: You're listening to the Bloomberg Balance of Power podcast kens 814 00:39:44,440 --> 00:39:47,239 Speaker 1: just Live weekdays at noon Eastern on Apple car Play 815 00:39:47,280 --> 00:39:49,680 Speaker 1: and then roud Oro with the Bloomberg Business app. You 816 00:39:49,719 --> 00:39:52,960 Speaker 1: can also listen live on Amazon Alexa from our flagship 817 00:39:53,040 --> 00:39:56,840 Speaker 1: New York station, Just Say Alexa Play Bloomberg eleven thirty. 818 00:39:59,080 --> 00:40:02,640 Speaker 2: I'm Jill Matthew in New York. Kaylee Lines is in Washington. 819 00:40:02,719 --> 00:40:04,720 Speaker 2: Coming up, We're going to spend some time with Jessica 820 00:40:04,800 --> 00:40:08,759 Speaker 2: Kavanaugh of the Carnegie Endowment for International Peace with the 821 00:40:08,840 --> 00:40:13,120 Speaker 2: latest and a potential cease fire between Israel and Hamas 822 00:40:13,200 --> 00:40:15,440 Speaker 2: right now. It's a pleasure, though, to bring in my 823 00:40:15,560 --> 00:40:18,920 Speaker 2: colleague here in New York, Anne Marie hor Durn, with 824 00:40:18,960 --> 00:40:21,800 Speaker 2: an important conversation we've been looking forward to. A Member 825 00:40:21,840 --> 00:40:24,360 Speaker 2: of Parliament is with us here at World Headquarters. Alex 826 00:40:24,400 --> 00:40:27,000 Speaker 2: Berghardt and Anne Marie will hand things over to you. 827 00:40:27,360 --> 00:40:29,239 Speaker 14: Thank you so much. Joe, that's right. I'm joined by 828 00:40:29,239 --> 00:40:32,759 Speaker 14: Alex Burghart, UK Cabinet Office Minister leading on AI in 829 00:40:32,800 --> 00:40:35,080 Speaker 14: the public sector. I want to start out with your 830 00:40:35,160 --> 00:40:38,319 Speaker 14: role in artificial intelligence. This role wouldn't exist even as 831 00:40:39,080 --> 00:40:40,400 Speaker 14: two or three years ago, and need to live in 832 00:40:40,440 --> 00:40:43,120 Speaker 14: the United Kingdom. We've seen this government, led by the 833 00:40:43,120 --> 00:40:46,600 Speaker 14: Prime Minister Rishi Sunac really want to invest and hone 834 00:40:46,680 --> 00:40:49,680 Speaker 14: AI even within the government. I know you're in the 835 00:40:49,680 --> 00:40:52,799 Speaker 14: beta mode of this red box. Tell us a little 836 00:40:52,800 --> 00:40:55,600 Speaker 14: bit about what you're doing, what you're focused on, and 837 00:40:55,920 --> 00:40:57,560 Speaker 14: how the government could potentially harness this. 838 00:40:57,960 --> 00:41:00,120 Speaker 17: Thanks Am Marie, thank you for having me on and 839 00:41:00,200 --> 00:41:01,839 Speaker 17: it's great to be in New York to talk about 840 00:41:01,840 --> 00:41:03,720 Speaker 17: the work we're doing in the UK government at the moment. 841 00:41:04,080 --> 00:41:07,080 Speaker 17: As you said, the Prime Minister is really passionate about AI. 842 00:41:07,239 --> 00:41:10,080 Speaker 17: We held the first AI safety summit that the world 843 00:41:10,080 --> 00:41:13,759 Speaker 17: has seen last year, very very productive. But the work 844 00:41:13,760 --> 00:41:16,080 Speaker 17: that I'm doing is on how we can deploy AI 845 00:41:16,280 --> 00:41:19,239 Speaker 17: for the public good and that means how we can 846 00:41:19,280 --> 00:41:22,719 Speaker 17: You know, it's about eighteen months ago we sat down 847 00:41:22,719 --> 00:41:25,680 Speaker 17: and said this new technology is emerging potentially one of 848 00:41:25,680 --> 00:41:28,200 Speaker 17: the great leaps forward. How are we going to harness 849 00:41:28,239 --> 00:41:31,160 Speaker 17: it to improve the quality of public services and drive 850 00:41:31,200 --> 00:41:34,000 Speaker 17: down costs for the taxpayer. And there's a number of 851 00:41:34,080 --> 00:41:36,560 Speaker 17: ways in which that's emerging. And the first is that 852 00:41:37,000 --> 00:41:40,560 Speaker 17: you can now automate tasks like never before. And I 853 00:41:40,760 --> 00:41:44,000 Speaker 17: have you mentioned Red Box, which is named after the 854 00:41:44,040 --> 00:41:46,880 Speaker 17: you know, the red ministerial box that British ministers carry around. 855 00:41:47,120 --> 00:41:49,600 Speaker 14: I still hope they'll do that for show and the Yeah. 856 00:41:49,719 --> 00:41:50,279 Speaker 5: Absolutely. 857 00:41:51,120 --> 00:41:54,040 Speaker 17: But what we now have we've been building as a 858 00:41:54,080 --> 00:41:58,480 Speaker 17: tool that can summarize huge documents very very quickly, that 859 00:41:58,520 --> 00:42:00,880 Speaker 17: can relate them to what's been going on in Parliament, 860 00:42:01,160 --> 00:42:04,040 Speaker 17: what's been going on in the press, and can pull 861 00:42:04,080 --> 00:42:06,640 Speaker 17: out kind of key points that ministers need to focus on. 862 00:42:06,960 --> 00:42:11,000 Speaker 17: And that's saving my private office hundreds of hours. But 863 00:42:11,080 --> 00:42:13,880 Speaker 17: it's also starting to build a tool that is going 864 00:42:13,920 --> 00:42:18,720 Speaker 17: to create institutional memory, recreate institutional memory in our government department. 865 00:42:18,880 --> 00:42:21,360 Speaker 17: So you know, when we're starting out on a project, 866 00:42:21,440 --> 00:42:23,440 Speaker 17: we'll be able to ask, have we tried something like 867 00:42:23,480 --> 00:42:25,960 Speaker 17: this before? Why didn't we carry on with it? You 868 00:42:26,000 --> 00:42:29,000 Speaker 17: know what was good about it? So that huge resource 869 00:42:29,000 --> 00:42:34,800 Speaker 17: of documentation that's currently lying unused in government is going 870 00:42:34,880 --> 00:42:36,200 Speaker 17: to come back into play. 871 00:42:36,360 --> 00:42:39,160 Speaker 14: So two questions immediately come to mind. One talent and 872 00:42:39,200 --> 00:42:42,160 Speaker 14: the other security. Let's start with talent first. If you 873 00:42:42,200 --> 00:42:45,239 Speaker 14: work in AI, you can get paid handsomely going to 874 00:42:45,280 --> 00:42:48,719 Speaker 14: say open AI. How do you attract that talent to say, 875 00:42:48,719 --> 00:42:50,440 Speaker 14: come work as a civil servant. 876 00:42:50,560 --> 00:42:52,840 Speaker 17: It's a great question. We were really worried about this 877 00:42:52,920 --> 00:42:57,120 Speaker 17: at the start because we can't pay that money. And 878 00:42:57,200 --> 00:43:00,560 Speaker 17: you know, I've got a really great head of the program, 879 00:43:00,640 --> 00:43:02,440 Speaker 17: Laura Gilbert, who's out in New York with me at 880 00:43:02,440 --> 00:43:06,600 Speaker 17: the moment, and she said, as long as we can 881 00:43:06,640 --> 00:43:10,120 Speaker 17: pay something bit more than we pay our normal civil servants. 882 00:43:10,440 --> 00:43:14,600 Speaker 17: What we have is data. We have really good data, 883 00:43:14,880 --> 00:43:18,920 Speaker 17: lots of centralized data. And if you are an AI addict, 884 00:43:19,000 --> 00:43:22,160 Speaker 17: if you're one of these super smart, crazy clever people 885 00:43:22,360 --> 00:43:24,160 Speaker 17: who wants to get involved, the thing you want to 886 00:43:24,160 --> 00:43:27,880 Speaker 17: play with is data. And so we've we've been looking 887 00:43:27,920 --> 00:43:31,200 Speaker 17: at huge quantities of data and things like public prescriptions 888 00:43:31,400 --> 00:43:36,320 Speaker 17: health service, looking how we can improve the quality of prescriptions, 889 00:43:36,600 --> 00:43:39,600 Speaker 17: drive down cost. We've been looking at how we can 890 00:43:39,880 --> 00:43:42,480 Speaker 17: eliminate fraud and error in the benefit system. We have 891 00:43:43,200 --> 00:43:47,080 Speaker 17: two hundred and eighty billion pound benefit and pension system 892 00:43:47,200 --> 00:43:49,920 Speaker 17: and we currently employ thousands and thousands of people to 893 00:43:50,000 --> 00:43:52,080 Speaker 17: check for fraud. We think we're going to be able 894 00:43:52,120 --> 00:43:54,200 Speaker 17: to vastly reduce that and improve. 895 00:43:54,000 --> 00:43:55,840 Speaker 14: So attracted that talent hasn't been an issue. 896 00:43:55,960 --> 00:43:59,759 Speaker 17: No, No, we've We've been really pleasantly surprised that loads 897 00:43:59,800 --> 00:44:03,600 Speaker 17: of people have applied and they've passed our very very 898 00:44:03,600 --> 00:44:04,680 Speaker 17: stringent tests to get in. 899 00:44:04,960 --> 00:44:07,399 Speaker 14: The one concern as well as security. You put all 900 00:44:07,440 --> 00:44:11,560 Speaker 14: of this now, documents that live in a cloud, you're 901 00:44:11,600 --> 00:44:14,920 Speaker 14: working more with AI. How do you safeguard that to 902 00:44:15,000 --> 00:44:16,120 Speaker 14: say adversaries? 903 00:44:16,400 --> 00:44:20,440 Speaker 17: Yeah, it's a central question and we have a very 904 00:44:20,480 --> 00:44:26,400 Speaker 17: effective security service in the UK and we're constantly learning 905 00:44:26,480 --> 00:44:30,000 Speaker 17: from partners. I was out in talent in Estonia right 906 00:44:30,080 --> 00:44:33,520 Speaker 17: on the fringes of NATO a few weeks ago, learning 907 00:44:33,520 --> 00:44:36,759 Speaker 17: from them because they were party to some enormous cyber 908 00:44:36,760 --> 00:44:41,040 Speaker 17: attacks a few years ago and have become very very resilient. 909 00:44:41,160 --> 00:44:43,960 Speaker 17: So it's uppermost in our mind when we're vetting people, 910 00:44:44,520 --> 00:44:46,920 Speaker 17: but also when we're building systems to make sure that 911 00:44:46,960 --> 00:44:51,760 Speaker 17: they're not that they can't be attacked by enemy operator. 912 00:44:51,800 --> 00:44:54,200 Speaker 14: If you use AI in the defense sector in the 913 00:44:54,280 --> 00:44:58,120 Speaker 14: UK government, how important is it that all that technology 914 00:44:58,200 --> 00:45:02,640 Speaker 14: comes in house out of House well because of these concerns. 915 00:45:02,680 --> 00:45:06,600 Speaker 17: No, no, I think it's not just defense. Right when 916 00:45:06,640 --> 00:45:09,560 Speaker 17: we were starting out, we could easily have gone and 917 00:45:09,640 --> 00:45:12,440 Speaker 17: picked a number of big companies, Big UK companies have 918 00:45:12,840 --> 00:45:17,400 Speaker 17: fantastic a sector in London. But we wanted to understand 919 00:45:17,400 --> 00:45:20,640 Speaker 17: this technology ourselves. So we've hired this cracked team of 920 00:45:20,760 --> 00:45:24,520 Speaker 17: thirty people going up to seventy who are going to 921 00:45:24,560 --> 00:45:26,560 Speaker 17: be able to build bespoke systems for us. 922 00:45:26,600 --> 00:45:26,799 Speaker 4: Now. 923 00:45:26,920 --> 00:45:30,160 Speaker 17: In the future, I think there'll be a case of 924 00:45:30,360 --> 00:45:33,680 Speaker 17: some stuff we will build ourselves and use many times, 925 00:45:33,719 --> 00:45:38,240 Speaker 17: some stuff we will build bespoke for particular apartments perhaps 926 00:45:38,280 --> 00:45:42,840 Speaker 17: like defense, and some things we will buy in. But 927 00:45:43,840 --> 00:45:46,879 Speaker 17: having people who actually know how it works and know 928 00:45:46,920 --> 00:45:49,720 Speaker 17: what government's needs are I think is central to getting 929 00:45:49,760 --> 00:45:50,560 Speaker 17: this revolution right. 930 00:45:50,920 --> 00:45:52,600 Speaker 14: I know you're in New York, so you're missing all 931 00:45:52,600 --> 00:45:55,920 Speaker 14: the morning press in the UK after a critical election 932 00:45:56,320 --> 00:45:59,600 Speaker 14: last night, and you know you saw the Bellwether parliamentary 933 00:45:59,640 --> 00:46:02,880 Speaker 14: seat that the Conservatives lost. Do you honestly think the 934 00:46:02,880 --> 00:46:05,640 Speaker 14: Conservative Party if the elections are going to be held 935 00:46:05,640 --> 00:46:07,280 Speaker 14: this year at some point I know the Prime Minister 936 00:46:07,320 --> 00:46:09,000 Speaker 14: said at the second half of the year, do you 937 00:46:09,040 --> 00:46:11,120 Speaker 14: think the current Conservives will be able to hold onto power. 938 00:46:11,480 --> 00:46:13,399 Speaker 17: I do think they will be able to and I'll 939 00:46:13,400 --> 00:46:16,520 Speaker 17: tell you what. Look, we've had a tough night. The 940 00:46:16,560 --> 00:46:18,840 Speaker 17: truth is that in twenty twenty one, when this cycle 941 00:46:18,880 --> 00:46:22,360 Speaker 17: of elections was last on, we had a vaccine bounce 942 00:46:22,560 --> 00:46:24,479 Speaker 17: that was a very good year for us. We always 943 00:46:24,480 --> 00:46:28,320 Speaker 17: suspected we might come down. But there is a silver 944 00:46:28,400 --> 00:46:30,759 Speaker 17: lining to this cloud, and it's the fact that Ben 945 00:46:30,800 --> 00:46:34,359 Speaker 17: Houchin are mayor in Teesside, in the northeast, traditionally quite 946 00:46:34,360 --> 00:46:36,839 Speaker 17: a deprived part of the country, which under the Conservatives 947 00:46:36,880 --> 00:46:40,359 Speaker 17: is now flourishing. He's won, he's held on, He's done 948 00:46:40,360 --> 00:46:42,680 Speaker 17: a very good job there, and I think when it 949 00:46:42,719 --> 00:46:45,040 Speaker 17: comes to the election and people actually have to make 950 00:46:45,080 --> 00:46:46,839 Speaker 17: a choice about who they want to see in power 951 00:46:46,840 --> 00:46:49,279 Speaker 17: for the next five years, is it going to be 952 00:46:49,400 --> 00:46:52,680 Speaker 17: the Prime Minister and the Conservatives that has got us 953 00:46:52,719 --> 00:46:56,840 Speaker 17: through COVID, that has seen off inflation and the energy 954 00:46:56,840 --> 00:46:59,759 Speaker 17: crisis and has a plan for the future, or is 955 00:46:59,800 --> 00:47:01,759 Speaker 17: it to be a Labor party that really has no 956 00:47:01,880 --> 00:47:04,160 Speaker 17: plan and no agenda. I think they're going to come 957 00:47:04,160 --> 00:47:04,440 Speaker 17: with us. 958 00:47:04,960 --> 00:47:08,200 Speaker 14: Do now regret though potentially removing Boris Johnson, just from 959 00:47:08,200 --> 00:47:09,640 Speaker 14: an electability point of view. 960 00:47:10,520 --> 00:47:15,399 Speaker 17: No, I don't because Boris certainly had his strengths, but 961 00:47:15,840 --> 00:47:20,480 Speaker 17: things weren't working out and he made some mistakes and 962 00:47:20,880 --> 00:47:23,240 Speaker 17: we couldn't have pretended that those mistakes haven't harmed. 963 00:47:23,280 --> 00:47:25,480 Speaker 14: Besides Ai, which I know the Prime Minister is really 964 00:47:25,480 --> 00:47:27,880 Speaker 14: focused on, but a lot of that has feels a 965 00:47:27,880 --> 00:47:31,200 Speaker 14: little bit like it's not tangible yet to voters and 966 00:47:31,239 --> 00:47:34,160 Speaker 14: the electorate. What does Rischie Sunac need to do. Number 967 00:47:34,160 --> 00:47:35,920 Speaker 14: one thing he needs to do going into this election. 968 00:47:36,080 --> 00:47:38,680 Speaker 17: So I think there are some really good stories to tell. 969 00:47:38,920 --> 00:47:41,839 Speaker 17: I mentioned t side up in the Northeast when I 970 00:47:41,920 --> 00:47:45,319 Speaker 17: was the Minister for Skills. I was lucky enough to 971 00:47:45,320 --> 00:47:48,960 Speaker 17: be part of this great piece of work where Ben Houchin, 972 00:47:49,000 --> 00:47:52,239 Speaker 17: the mayor, persuaded the energy companies to come and build 973 00:47:52,280 --> 00:47:56,760 Speaker 17: hydrogen plants on the condition that they offered training courses 974 00:47:56,800 --> 00:48:00,200 Speaker 17: for young boys and girls in the local colleges. So 975 00:48:00,320 --> 00:48:02,560 Speaker 17: you have, you know, the government setting up a free 976 00:48:02,560 --> 00:48:06,319 Speaker 17: pot and teaside, the mayor bringing in the business, and 977 00:48:06,360 --> 00:48:09,120 Speaker 17: then the business securing the training places so that young 978 00:48:09,200 --> 00:48:12,800 Speaker 17: people get those new jobs in their community. And that 979 00:48:12,800 --> 00:48:14,959 Speaker 17: that is what we call leveling up in the UK. 980 00:48:15,400 --> 00:48:18,440 Speaker 17: And we're starting to see the fruits of it, you know, 981 00:48:19,200 --> 00:48:22,680 Speaker 17: new business in towns which have been left behind, and 982 00:48:22,800 --> 00:48:25,440 Speaker 17: local people getting those jobs and adding to the prosperity 983 00:48:25,440 --> 00:48:27,480 Speaker 17: of the places where they live. That's something that didn't 984 00:48:27,520 --> 00:48:30,680 Speaker 17: happen under thirteen years of labor. It's happening under the 985 00:48:30,719 --> 00:48:33,440 Speaker 17: Conservatives and I've been proud to be part of it. 986 00:48:33,560 --> 00:48:34,800 Speaker 14: Do you want to break some news. Do you know 987 00:48:34,840 --> 00:48:35,759 Speaker 14: when the election will be? 988 00:48:36,200 --> 00:48:38,640 Speaker 17: Well, I'd love to tell you, but the primary don't 989 00:48:38,640 --> 00:48:39,879 Speaker 17: know yet. I don't know yet. 990 00:48:39,920 --> 00:48:41,759 Speaker 14: Okay, all right, we'll leave it there. Thank you so 991 00:48:41,840 --> 00:48:44,880 Speaker 14: much for your time. That was Alex Burghart, UK Cabinet Officer, 992 00:48:44,960 --> 00:48:48,240 Speaker 14: Minister leaning on AI in the public sector, Joe. 993 00:48:48,080 --> 00:48:51,600 Speaker 2: Kayley, Ane Marie Hordurin live in New York. Thank you 994 00:48:51,640 --> 00:48:56,680 Speaker 2: so much for the great conversation. Anne Marie. 995 00:48:57,160 --> 00:49:00,000 Speaker 1: If you're listening to the Bloomberg Balance of Power podcast, 996 00:49:00,560 --> 00:49:03,799 Speaker 1: catch Just Live weekdays at noon Eastern on Apocarplay and 997 00:49:03,800 --> 00:49:06,960 Speaker 1: then Proudoro with the Bloomberg Business app. Listen on demand 998 00:49:07,000 --> 00:49:12,839 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 999 00:49:13,400 --> 00:49:16,840 Speaker 13: This is something that perhaps the administration is trying to 1000 00:49:16,840 --> 00:49:19,560 Speaker 13: hang their hats on, Joe. The continued strength it seems 1001 00:49:19,560 --> 00:49:21,960 Speaker 13: of the US economy, but of course they're facing a 1002 00:49:22,040 --> 00:49:24,080 Speaker 13: number of other headwinds as well, as we continue to 1003 00:49:24,120 --> 00:49:29,920 Speaker 13: see campus protests, pro Palestinian protests across the country and abroad, 1004 00:49:30,520 --> 00:49:33,640 Speaker 13: still efforting a cease fire deal between Israel and Hamasta 1005 00:49:33,680 --> 00:49:36,280 Speaker 13: that to this point has not yet come to fruition. 1006 00:49:36,360 --> 00:49:37,120 Speaker 5: Well that's true, Kayley. 1007 00:49:37,400 --> 00:49:40,040 Speaker 2: You and I started this week on Monday with talk 1008 00:49:40,120 --> 00:49:43,799 Speaker 2: of an imminent announcement like that day or night, and 1009 00:49:43,880 --> 00:49:47,239 Speaker 2: it's been five days and we're still waiting. So now 1010 00:49:47,280 --> 00:49:50,800 Speaker 2: a new clock is ticking. An important headline this morning 1011 00:49:50,800 --> 00:49:53,319 Speaker 2: in the Wall Street Journal Israel gives Hamas a week 1012 00:49:53,640 --> 00:49:57,200 Speaker 2: to strike a deal on a RAFA, or rather a 1013 00:49:57,320 --> 00:49:59,640 Speaker 2: RAFA offensive will begin. And it gets us back to 1014 00:49:59,680 --> 00:50:02,160 Speaker 2: the site idea question at least whether RAFA is a 1015 00:50:02,200 --> 00:50:07,960 Speaker 2: bargaining ship or indeed something that Israel is telegraphing will happen. Kaylee, 1016 00:50:08,000 --> 00:50:10,560 Speaker 2: We're lucky to be joined by Jennifer Kavanaugh right now, 1017 00:50:10,640 --> 00:50:13,560 Speaker 2: senior fellow in the American state Craft Program at the 1018 00:50:13,560 --> 00:50:16,720 Speaker 2: Carnegie Endowment for International Peace, and it's. 1019 00:50:16,560 --> 00:50:17,800 Speaker 5: Great to have you with us. Jennifer. 1020 00:50:17,840 --> 00:50:19,919 Speaker 2: We have a lot of questions about what's happening right now, 1021 00:50:19,920 --> 00:50:24,360 Speaker 2: including the status of talks now that HAMAS delegation is 1022 00:50:24,880 --> 00:50:28,279 Speaker 2: joining the situation in Cairo, what do you expect to 1023 00:50:28,280 --> 00:50:29,120 Speaker 2: happen this weekend. 1024 00:50:30,920 --> 00:50:33,879 Speaker 18: Well, I heard the same report that you did that 1025 00:50:33,920 --> 00:50:37,040 Speaker 18: Hamas has indicated that they are willing to continue negotiations, 1026 00:50:37,160 --> 00:50:39,719 Speaker 18: so there's still a chance for a deal, But there 1027 00:50:39,719 --> 00:50:42,480 Speaker 18: are a number of stumbling box one of which you 1028 00:50:42,680 --> 00:50:45,480 Speaker 18: just mentioned, which is the fact that Netanyahu has made 1029 00:50:45,480 --> 00:50:50,239 Speaker 18: it clear that the IDF the Israeli defense for US 1030 00:50:50,280 --> 00:50:53,080 Speaker 18: and tends to move on Rafa whether or not there 1031 00:50:53,160 --> 00:50:57,480 Speaker 18: is a deal, which really reduces Hamas's incentive to strike 1032 00:50:57,560 --> 00:51:00,319 Speaker 18: any sort of a cord, given that it doesn't seem 1033 00:51:00,360 --> 00:51:02,879 Speaker 18: to buy them anything in the long term. Of course, 1034 00:51:02,920 --> 00:51:05,400 Speaker 18: the other stumbling block is the lack of a real 1035 00:51:06,160 --> 00:51:09,319 Speaker 18: plan for the future of Gaza. What happens if this 1036 00:51:09,360 --> 00:51:11,160 Speaker 18: is not a long term seas fare or if it 1037 00:51:11,239 --> 00:51:13,600 Speaker 18: is to Gaza in the long term, And those are 1038 00:51:13,640 --> 00:51:16,240 Speaker 18: things I think that are likely weighing on the minds 1039 00:51:16,239 --> 00:51:19,040 Speaker 18: of Hama's leaders as they're going into these negotiations. 1040 00:51:20,440 --> 00:51:23,320 Speaker 13: Well, so, Jennifer, it's interesting that you raise the incentives 1041 00:51:23,920 --> 00:51:28,360 Speaker 13: or perhaps lack thereof, for Hamas, knowing that perhaps Israel 1042 00:51:28,400 --> 00:51:30,600 Speaker 13: will be moving into Rafa. Either way, that if they 1043 00:51:30,640 --> 00:51:33,560 Speaker 13: release hostages, they are losing some of the leverage that 1044 00:51:33,600 --> 00:51:37,800 Speaker 13: they have remaining. Why would Hamas agree to a temporary 1045 00:51:37,800 --> 00:51:41,200 Speaker 13: ceasefire at this point, Well. 1046 00:51:41,040 --> 00:51:43,280 Speaker 18: It's possible if they would see an advantage to having 1047 00:51:43,920 --> 00:51:49,319 Speaker 18: some time to rebuild their forces or to solidify their 1048 00:51:49,360 --> 00:51:53,399 Speaker 18: grounds before Israel moved in, So it's possible that that 1049 00:51:53,560 --> 00:51:55,240 Speaker 18: is one way they're thinking. 1050 00:51:55,320 --> 00:51:56,280 Speaker 4: Another is that. 1051 00:51:56,400 --> 00:51:59,920 Speaker 18: This idea that even a temporary seasfire could become permanent. 1052 00:52:00,400 --> 00:52:03,120 Speaker 18: There have been some who have indicated that even on 1053 00:52:03,160 --> 00:52:05,960 Speaker 18: the Israeli side, there's a recognition that a temporary cease 1054 00:52:06,000 --> 00:52:09,120 Speaker 18: fire would likely be a permanent one. So there's the 1055 00:52:09,160 --> 00:52:13,120 Speaker 18: potential that this uh that Yahoo's threat to move on 1056 00:52:13,239 --> 00:52:17,640 Speaker 18: Ralpha to regardless of a deal, is just that it's 1057 00:52:17,640 --> 00:52:22,120 Speaker 18: a bluff and that what what is what starts as 1058 00:52:22,360 --> 00:52:26,600 Speaker 18: a temporary spire would become permanent. But that raises a 1059 00:52:26,600 --> 00:52:28,600 Speaker 18: whole host of other questions about what that means for 1060 00:52:28,640 --> 00:52:31,560 Speaker 18: the long term, and there's a lot of uncertainty for Hamas. 1061 00:52:32,040 --> 00:52:32,239 Speaker 8: You know. 1062 00:52:32,480 --> 00:52:36,480 Speaker 18: Another big news item this week was this idea of 1063 00:52:36,640 --> 00:52:40,560 Speaker 18: a Israeli Saudi normalization deal and it's hard to see 1064 00:52:40,560 --> 00:52:43,280 Speaker 18: how that moves forward without a plan for a permanent 1065 00:52:43,320 --> 00:52:47,120 Speaker 18: Palestinian state, But Israel has indicated that it's not interested 1066 00:52:47,160 --> 00:52:51,360 Speaker 18: in moving in that direction either, So from Amas's perspective, 1067 00:52:51,360 --> 00:52:54,279 Speaker 18: there's definitely an incentive to keep the talks going in 1068 00:52:54,320 --> 00:52:57,200 Speaker 18: hopes that they can delay any sort of further military operation, 1069 00:52:57,640 --> 00:52:59,719 Speaker 18: but it's hard to see what the incentives are for 1070 00:52:59,719 --> 00:53:02,319 Speaker 18: actually striking that deal without a lot more information and 1071 00:53:02,360 --> 00:53:03,680 Speaker 18: give on the Israeli side. 1072 00:53:03,920 --> 00:53:06,920 Speaker 2: Jennifer does the arrival potentially this weekend is what we're 1073 00:53:06,960 --> 00:53:11,680 Speaker 2: hearing of a temporary peer to deliver humanitarian aid to Gaza. 1074 00:53:11,719 --> 00:53:13,600 Speaker 2: The US military of course building that. 1075 00:53:14,000 --> 00:53:14,760 Speaker 5: As we speak. 1076 00:53:14,840 --> 00:53:19,200 Speaker 2: Does it change the dynamic at all in these talks. 1077 00:53:19,239 --> 00:53:22,239 Speaker 2: Does it increase the chance for a ceasefire once it's 1078 00:53:22,320 --> 00:53:22,880 Speaker 2: up and running. 1079 00:53:24,640 --> 00:53:26,880 Speaker 18: I'm not sure that really factors in all that much. 1080 00:53:27,800 --> 00:53:30,479 Speaker 18: I mean, the most efficient way to get aid into 1081 00:53:30,520 --> 00:53:35,000 Speaker 18: Gaza is with trucks over land borders, so the peer 1082 00:53:35,080 --> 00:53:38,360 Speaker 18: will offer some temporary relief possibly, But even if that 1083 00:53:38,440 --> 00:53:41,960 Speaker 18: aid starts arriving this weekend, it's going to face delays 1084 00:53:41,960 --> 00:53:45,439 Speaker 18: and actually getting into the hands of population because it's 1085 00:53:45,480 --> 00:53:47,719 Speaker 18: still not really clear how that AID is going to 1086 00:53:47,719 --> 00:53:51,400 Speaker 18: get from the peer to the population, and the big 1087 00:53:51,520 --> 00:53:55,000 Speaker 18: bottlenecks are the security checks of that AID as it 1088 00:53:55,080 --> 00:54:01,040 Speaker 18: moves from the peer onto land, and it's not there's 1089 00:54:01,080 --> 00:54:04,120 Speaker 18: no protocol yet or procedures that have been outlined for 1090 00:54:04,280 --> 00:54:06,799 Speaker 18: how that process is going to occur. That's going to 1091 00:54:06,840 --> 00:54:09,640 Speaker 18: be faster than what's already been put in place. So 1092 00:54:09,960 --> 00:54:13,040 Speaker 18: I'm not sure that that factors in, although it certainly 1093 00:54:13,080 --> 00:54:16,640 Speaker 18: would be beneficial for the god of population long term 1094 00:54:16,680 --> 00:54:19,720 Speaker 18: to be able to get access to more AID. 1095 00:54:20,320 --> 00:54:25,000 Speaker 13: Well, you raise the question of perhaps bottlenecks that could 1096 00:54:25,040 --> 00:54:27,200 Speaker 13: arise once things are off the peer. There's also just 1097 00:54:27,239 --> 00:54:29,839 Speaker 13: the question of the security of the peer itself. This 1098 00:54:29,880 --> 00:54:32,920 Speaker 13: is something that the Defense Secretary, Lloyd Austin, was asked 1099 00:54:32,960 --> 00:54:37,080 Speaker 13: about earlier in Honolulu, and this was his response. 1100 00:54:37,880 --> 00:54:42,040 Speaker 7: The first question was regarding any incredible information that we 1101 00:54:42,160 --> 00:54:47,600 Speaker 7: have that AMAS is going to attack our troops. Of course, 1102 00:54:47,640 --> 00:54:55,279 Speaker 7: I don't discuss intelligence information at the podiums, but I 1103 00:54:55,320 --> 00:55:00,200 Speaker 7: don't see any indications currently that there is an active intent. 1104 00:55:00,360 --> 00:55:00,799 Speaker 5: To do that. 1105 00:55:02,600 --> 00:55:05,320 Speaker 7: Having excited that this is this is a combat zone 1106 00:55:05,440 --> 00:55:07,799 Speaker 7: and a number of things can happen. A number of 1107 00:55:07,800 --> 00:55:08,640 Speaker 7: things will happen. 1108 00:55:10,360 --> 00:55:14,240 Speaker 13: A number of things, Jennifer, he said, can and will happen. 1109 00:55:14,800 --> 00:55:18,360 Speaker 13: Could this peer be something of an impetus for actual 1110 00:55:18,480 --> 00:55:22,080 Speaker 13: US troops getting involved in a more material way if 1111 00:55:22,120 --> 00:55:27,359 Speaker 13: indeed there were to be an attack, Well, there's certainly. 1112 00:55:27,000 --> 00:55:29,800 Speaker 18: The risk that that could happen. That's one of the 1113 00:55:30,480 --> 00:55:34,080 Speaker 18: uh one of the criticisms that has arisen of the 1114 00:55:34,120 --> 00:55:37,040 Speaker 18: plan for this per since the start is that it's 1115 00:55:37,080 --> 00:55:39,960 Speaker 18: not clear how US troops are going to be protected 1116 00:55:40,000 --> 00:55:41,799 Speaker 18: and how they're going to keep them from being on 1117 00:55:41,840 --> 00:55:46,759 Speaker 18: the land, which then could signal a larger US role 1118 00:55:46,840 --> 00:55:51,239 Speaker 18: in this conflict. Then then the Defense Department has indicated 1119 00:55:52,840 --> 00:55:55,839 Speaker 18: it intends to have or that it wants to have. 1120 00:55:57,160 --> 00:56:00,680 Speaker 18: You know, one of Hamas's goals has been throughout this 1121 00:56:00,800 --> 00:56:05,560 Speaker 18: conflict to separate Israel from its Western support. So attacking 1122 00:56:05,680 --> 00:56:09,160 Speaker 18: US forces and sort of forcing this decision of how 1123 00:56:09,760 --> 00:56:12,239 Speaker 18: in Israel's camp is the United States willing to be 1124 00:56:13,320 --> 00:56:15,920 Speaker 18: certainly could be a tactic, and so attacks on the 1125 00:56:16,000 --> 00:56:20,120 Speaker 18: pier are certainly not out of the question in terms 1126 00:56:20,160 --> 00:56:23,600 Speaker 18: of trying to force the US hand in that way. 1127 00:56:24,040 --> 00:56:27,360 Speaker 18: At the same time, I don't think any player involved 1128 00:56:27,400 --> 00:56:30,240 Speaker 18: in this conflict whether it's the United States. Hamas Aaron 1129 00:56:30,440 --> 00:56:34,759 Speaker 18: Israel wants to see an escalation to any sort of 1130 00:56:34,800 --> 00:56:40,240 Speaker 18: regional regional conflict. Hamas certainly would like to have de escalation, 1131 00:56:40,400 --> 00:56:43,520 Speaker 18: not escalation, and so that could weigh on the other 1132 00:56:43,600 --> 00:56:47,200 Speaker 18: side of keeping them from from putting any pressure on 1133 00:56:47,280 --> 00:56:47,960 Speaker 18: US forces. 1134 00:56:48,160 --> 00:56:52,080 Speaker 2: Jennifer, what happens if, as some are predicting, Israel opens 1135 00:56:52,120 --> 00:56:54,440 Speaker 2: a new front to the north, What happens to talks 1136 00:56:54,560 --> 00:56:57,880 Speaker 2: with Hamas if Israel attacks has Belah? 1137 00:57:00,200 --> 00:57:02,239 Speaker 18: Well, I mean, that's a that's a tough question, but 1138 00:57:02,280 --> 00:57:05,400 Speaker 18: I think the better question is whether or not Israel 1139 00:57:05,440 --> 00:57:10,000 Speaker 18: can really resource a second front without additional US support, 1140 00:57:11,280 --> 00:57:15,040 Speaker 18: And I would my estimate is is probably not. If 1141 00:57:15,360 --> 00:57:17,480 Speaker 18: Israel decides to open a second front, that opens a 1142 00:57:17,520 --> 00:57:20,320 Speaker 18: number of hard questions for the United States about how 1143 00:57:20,360 --> 00:57:25,720 Speaker 18: far it's willing to lean in terms of providing offensive 1144 00:57:26,000 --> 00:57:29,360 Speaker 18: military to the United States to excuse me, to Israel. 1145 00:57:29,960 --> 00:57:33,920 Speaker 18: And that's already been a contentious issue in the United States, 1146 00:57:34,720 --> 00:57:39,720 Speaker 18: with some senators calling for conditions on AID and uh 1147 00:57:40,160 --> 00:57:44,240 Speaker 18: and and putting pressure on President Biden to come out 1148 00:57:44,280 --> 00:57:46,720 Speaker 18: more strongly in terms of leaning on the leverage that 1149 00:57:46,760 --> 00:57:50,840 Speaker 18: the United States gains from providing military aid in terms 1150 00:57:50,840 --> 00:57:55,400 Speaker 18: of reigning Natanyaku in to limit this conflict, to prevent 1151 00:57:55,440 --> 00:57:59,040 Speaker 18: it from becoming a regional one, which is a real 1152 00:57:59,160 --> 00:58:01,720 Speaker 18: risk if Israel war to move into Lebanon. 1153 00:58:02,960 --> 00:58:05,400 Speaker 13: Well, Jennifer, as you talk about the idea of limiting aid, 1154 00:58:05,560 --> 00:58:09,160 Speaker 13: certainly there is a chunk of people in the US 1155 00:58:09,240 --> 00:58:11,360 Speaker 13: right now, including some members of Congress, who would not 1156 00:58:11,480 --> 00:58:14,160 Speaker 13: like to see the US continuing to provide unconditional aid 1157 00:58:14,240 --> 00:58:17,200 Speaker 13: to Israel because of concern around Palestinian life and what's 1158 00:58:17,200 --> 00:58:20,320 Speaker 13: happening in Gaza, And certainly that has shown up on 1159 00:58:20,400 --> 00:58:23,440 Speaker 13: college campuses across the country as we have seen what 1160 00:58:23,720 --> 00:58:27,040 Speaker 13: was a pro Palestinian movement perhaps morphing into something that 1161 00:58:27,360 --> 00:58:31,360 Speaker 13: could have more anti Semitism involved. What effect do you 1162 00:58:31,400 --> 00:58:35,120 Speaker 13: think the visuals and the rhetoric around these protests is 1163 00:58:35,160 --> 00:58:38,600 Speaker 13: actually having with the situation or on the situation on 1164 00:58:38,680 --> 00:58:41,120 Speaker 13: the ground in the Middle East. Is that something that 1165 00:58:41,160 --> 00:58:44,800 Speaker 13: emboldened to Moss Does it embolden Israel, you know, make 1166 00:58:44,880 --> 00:58:47,880 Speaker 13: them more secure in the notion that they have to 1167 00:58:47,920 --> 00:58:51,240 Speaker 13: fight vigorously for their right to exist. How do you 1168 00:58:51,320 --> 00:58:51,760 Speaker 13: view that? 1169 00:58:53,960 --> 00:58:56,240 Speaker 18: I could see it as possibly emboldening the Moss in 1170 00:58:56,280 --> 00:59:01,200 Speaker 18: the sense that it is eroding the golob credibility and 1171 00:59:01,280 --> 00:59:05,520 Speaker 18: reputation of both the United States and Israel, which is 1172 00:59:05,560 --> 00:59:07,640 Speaker 18: one of the long term goals of these groups. 1173 00:59:08,840 --> 00:59:08,960 Speaker 8: Uh. 1174 00:59:09,080 --> 00:59:12,640 Speaker 18: For Israel, you know, seeing global protests against the way 1175 00:59:12,680 --> 00:59:16,320 Speaker 18: the war has been conducted certainly helped shift public opinion 1176 00:59:16,320 --> 00:59:19,480 Speaker 18: against them and limit their flexibility to continue the war. 1177 00:59:20,080 --> 00:59:24,680 Speaker 18: And for the United States, it raises questions about a 1178 00:59:24,680 --> 00:59:28,959 Speaker 18: double standard. You know, some countries across the Global South 1179 00:59:29,080 --> 00:59:32,120 Speaker 18: especially have been very critical of what they see as 1180 00:59:32,600 --> 00:59:35,400 Speaker 18: a double standard between the way the United States has 1181 00:59:35,440 --> 00:59:39,080 Speaker 18: responded to Israel's conduct of its war in Gaza and 1182 00:59:39,200 --> 00:59:41,640 Speaker 18: Russia's conduct of its war in Ukraine, which which the 1183 00:59:41,720 --> 00:59:44,240 Speaker 18: United States has come up very strongly against. Now, there 1184 00:59:44,240 --> 00:59:48,440 Speaker 18: are obviously very significant differences between those two conflicts, but 1185 00:59:48,560 --> 00:59:51,720 Speaker 18: that connection has been made, and that narrative, which has 1186 00:59:51,760 --> 00:59:56,480 Speaker 18: been fueled by disinformation and by Russian sources and by 1187 00:59:57,840 --> 01:00:01,240 Speaker 18: anti Israel sources, has has taken and that can have 1188 01:00:01,280 --> 01:00:07,560 Speaker 18: an impact on US influence across places in Africa and 1189 01:00:08,400 --> 01:00:10,360 Speaker 18: other parts of the Middle East as well. 1190 01:00:12,200 --> 01:00:14,720 Speaker 13: All Right, Jennifer Kavanaugh, great to have you on Balance 1191 01:00:14,720 --> 01:00:16,800 Speaker 13: of Power today. Thank you so much for joining us she, 1192 01:00:16,840 --> 01:00:18,959 Speaker 13: of course, is a Senior Fellow in the American state 1193 01:00:19,040 --> 01:00:23,000 Speaker 13: Craft Program at the Carnegie Endowment for International Peace. 1194 01:00:25,200 --> 01:00:28,440 Speaker 2: Thanks for listening to the Balance of Power podcast. Make 1195 01:00:28,440 --> 01:00:31,960 Speaker 2: sure to subscribe if you haven't already, at Apple, Spotify. 1196 01:00:31,520 --> 01:00:33,560 Speaker 5: Or wherever you get your podcasts, and 1197 01:00:33,640 --> 01:00:36,240 Speaker 2: You can find us live every weekday from Washington, DC 1198 01:00:36,400 --> 01:00:39,080 Speaker 2: at noontime Eastern at Bloomberg dot com.