1 00:00:02,720 --> 00:00:10,560 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,560 --> 00:00:14,480 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,560 --> 00:00:18,439 Speaker 1: Eastern on Applecarplay and Android Auto with the Bloomberg Business App. 4 00:00:18,600 --> 00:00:21,840 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,920 --> 00:00:24,600 Speaker 1: us live on YouTube. 6 00:00:24,800 --> 00:00:27,320 Speaker 2: Other major news story just crossing the tape of breaking 7 00:00:27,360 --> 00:00:30,400 Speaker 2: this morning. Donald Trump, the first former US president convicted 8 00:00:30,440 --> 00:00:32,280 Speaker 2: of a felony, was sentenced by a New York judge 9 00:00:32,280 --> 00:00:36,520 Speaker 2: Friday to no jail or probation for his hush money case. 10 00:00:36,560 --> 00:00:39,959 Speaker 2: Joinings right now is June Grassol, Bloomberg's legal analyst. 11 00:00:40,000 --> 00:00:43,040 Speaker 3: Here, June. No surprises here for you, No. 12 00:00:43,040 --> 00:00:45,320 Speaker 4: Really, no surprises at all. I thought it would take 13 00:00:45,479 --> 00:00:47,240 Speaker 4: much longer if Trump decided to speak. 14 00:00:47,320 --> 00:00:48,240 Speaker 5: So he did give a. 15 00:00:48,120 --> 00:00:51,640 Speaker 4: Little rambling speech, echoing things that he said over and 16 00:00:51,680 --> 00:00:53,760 Speaker 4: over again, how this is a witch hunt, how it's 17 00:00:53,800 --> 00:00:57,640 Speaker 4: not fair even talking though about the election. He got 18 00:00:57,680 --> 00:00:59,920 Speaker 4: a few things in there. So, I mean, this is 19 00:01:00,120 --> 00:01:02,200 Speaker 4: what the judge had said he was going to do. 20 00:01:02,240 --> 00:01:05,080 Speaker 4: He was going to sentence him to an unconditional release. 21 00:01:05,120 --> 00:01:07,559 Speaker 4: There was not going to be any kind of prison time, 22 00:01:07,640 --> 00:01:11,400 Speaker 4: no penalties, no fines, nothing. It's just the stigma of 23 00:01:11,520 --> 00:01:14,840 Speaker 4: now being a convicted felon and in ten days being 24 00:01:14,880 --> 00:01:18,000 Speaker 4: the first president to be sworn in as the President 25 00:01:18,000 --> 00:01:21,120 Speaker 4: of the United States as a convicted felon. I think 26 00:01:21,160 --> 00:01:23,160 Speaker 4: that's what he's been trying to avoid all along. 27 00:01:23,720 --> 00:01:26,640 Speaker 6: Well, Juna does say that Trump plans to appeal the 28 00:01:26,959 --> 00:01:30,360 Speaker 6: verdict and seek to overturn his conviction through the appeals process. 29 00:01:30,680 --> 00:01:32,640 Speaker 6: What would that look like. What is the likelihood of 30 00:01:32,680 --> 00:01:33,280 Speaker 6: that outcome? 31 00:01:33,800 --> 00:01:38,400 Speaker 4: Well, so Trump has appealed just about every decision legal 32 00:01:38,440 --> 00:01:41,560 Speaker 4: decision that has been handed down against him, So this 33 00:01:41,680 --> 00:01:44,480 Speaker 4: is no surprise. He's already started to appeal some of 34 00:01:44,520 --> 00:01:46,800 Speaker 4: the motions and some of the things the judge did. 35 00:01:47,080 --> 00:01:50,600 Speaker 4: So what happens is once the sentence is handed down, 36 00:01:50,640 --> 00:01:52,720 Speaker 4: I have about thirty days to say whether or not 37 00:01:52,760 --> 00:01:56,600 Speaker 4: they're going to appeal, and then they do their arguments 38 00:01:56,640 --> 00:02:00,200 Speaker 4: in an appellate brief to the Appellate Division in this case, 39 00:02:00,240 --> 00:02:03,040 Speaker 4: and then he can Probably he'll probably appeal whatever they 40 00:02:03,080 --> 00:02:05,320 Speaker 4: say if it's not good for him, to the highest 41 00:02:05,320 --> 00:02:06,800 Speaker 4: court in New York, which is the New York Court 42 00:02:06,800 --> 00:02:09,400 Speaker 4: of Appeals, and most likely to the Supreme Court, because 43 00:02:09,400 --> 00:02:15,359 Speaker 4: he's going to be arguing about these presidential immunity decisions 44 00:02:15,400 --> 00:02:18,160 Speaker 4: and whether they affected In other words, what happened here 45 00:02:18,240 --> 00:02:21,399 Speaker 4: is he said after that presidential immunity decision came out, 46 00:02:21,440 --> 00:02:24,520 Speaker 4: he said that Judge Mrchon shouldn't have allowed in some 47 00:02:24,639 --> 00:02:27,639 Speaker 4: of the testimony from example, for Hope Picks, which had 48 00:02:27,639 --> 00:02:30,640 Speaker 4: taken place in the White House, because that was done 49 00:02:30,680 --> 00:02:33,920 Speaker 4: in the course of his presidential duties. Judge Marchon disagreed 50 00:02:33,960 --> 00:02:36,880 Speaker 4: with that and also said that there was overwhelming evidence, 51 00:02:36,919 --> 00:02:39,280 Speaker 4: so that wasn't even needed for the jury. So that's 52 00:02:39,320 --> 00:02:42,240 Speaker 4: going to be one, definitely one of his points of appeal. 53 00:02:43,000 --> 00:02:44,960 Speaker 2: What else is out there for the president? Like most people, 54 00:02:45,000 --> 00:02:47,120 Speaker 2: I can't keep track, and I think it feels like 55 00:02:47,160 --> 00:02:50,560 Speaker 2: most of them are rather resolved or dismissed or well. 56 00:02:50,840 --> 00:02:53,280 Speaker 4: When he takes office, nothing is going to happen to 57 00:02:53,360 --> 00:02:56,360 Speaker 4: him at all for four years because they won't go 58 00:02:56,400 --> 00:02:59,840 Speaker 4: after there's no prosecution of sitting presidents. The Georgia case 59 00:03:00,160 --> 00:03:04,919 Speaker 4: still sort of hanging around in appellate courts. 60 00:03:04,360 --> 00:03:06,680 Speaker 5: It was the. 61 00:03:06,520 --> 00:03:09,600 Speaker 4: Prosecutor there was thrown out because of a relationship with 62 00:03:09,680 --> 00:03:13,120 Speaker 4: another prosecutor on the case, So that's left that very tenuous. 63 00:03:13,840 --> 00:03:14,560 Speaker 3: That case is. 64 00:03:14,520 --> 00:03:18,359 Speaker 4: Still there, But I mean, really most he'll just have appeals, 65 00:03:18,400 --> 00:03:21,320 Speaker 4: the appeals of this, and the classified document case goes 66 00:03:21,320 --> 00:03:22,160 Speaker 4: forward without him. 67 00:03:22,320 --> 00:03:25,119 Speaker 2: Something else in front of the Supreme Court, that TikTok 68 00:03:25,280 --> 00:03:29,240 Speaker 2: price for hundreds of millions of people out there, I think, 69 00:03:29,480 --> 00:03:30,080 Speaker 2: care about this? 70 00:03:30,440 --> 00:03:31,919 Speaker 3: What do you expect this to play out? 71 00:03:32,400 --> 00:03:34,679 Speaker 4: You know, this is hard, and I'm about to try 72 00:03:34,680 --> 00:03:37,160 Speaker 4: to listen to the oral arguments, so we'll try to 73 00:03:37,200 --> 00:03:39,520 Speaker 4: see how the justices feel. It's very hard because in 74 00:03:39,520 --> 00:03:42,800 Speaker 4: this case, the United States is claiming that this is 75 00:03:42,800 --> 00:03:46,000 Speaker 4: a matter of national security, and with matters of national security, 76 00:03:46,440 --> 00:03:49,520 Speaker 4: the justices usually leave it up to the executive branch 77 00:03:49,520 --> 00:03:51,920 Speaker 4: when the executive branch has a lot of authority and 78 00:03:52,160 --> 00:03:54,880 Speaker 4: there's deference to the executive branch. But at the same time, 79 00:03:55,320 --> 00:03:57,920 Speaker 4: you know, the First Amendment experts I've spoken to talk 80 00:03:57,960 --> 00:04:00,800 Speaker 4: about this as a First Amendment violation, the violation of 81 00:04:00,800 --> 00:04:03,040 Speaker 4: the First Amendment rights of the millions and millions of 82 00:04:03,080 --> 00:04:06,240 Speaker 4: people who are on TikTok and who don't have any 83 00:04:06,320 --> 00:04:09,720 Speaker 4: other way to express themselves exactly the way they do 84 00:04:09,840 --> 00:04:13,040 Speaker 4: on TikTok. So we'll see what happens. It's one thing 85 00:04:13,120 --> 00:04:14,680 Speaker 4: is for sure, it's going to be a very fast 86 00:04:14,720 --> 00:04:16,880 Speaker 4: decision because they're going to come down with it before 87 00:04:16,920 --> 00:04:18,159 Speaker 4: the band goes into effect. 88 00:04:18,560 --> 00:04:20,840 Speaker 6: I know, president like Donald Trump has also spoken out 89 00:04:20,880 --> 00:04:23,760 Speaker 6: about his view on this whole idea of the TikTok ban. 90 00:04:24,320 --> 00:04:26,080 Speaker 6: How much of a sway does it even seem that 91 00:04:26,120 --> 00:04:28,080 Speaker 6: he would be able to make toward this decision. 92 00:04:28,480 --> 00:04:31,839 Speaker 4: Well, he has been his views as on many things 93 00:04:31,839 --> 00:04:34,720 Speaker 4: have been varying. On TikTok he was against it than 94 00:04:34,800 --> 00:04:37,720 Speaker 4: for it, against it, now he is apparently for it. 95 00:04:37,760 --> 00:04:41,479 Speaker 4: He submitted a brief to the Supreme Court as the 96 00:04:41,680 --> 00:04:45,640 Speaker 4: upcoming president, the president elects saying that the court should 97 00:04:45,680 --> 00:04:49,960 Speaker 4: delay the law going into effects so that he could 98 00:04:49,960 --> 00:04:52,599 Speaker 4: come in and solve the problem. And it talked about 99 00:04:52,680 --> 00:04:55,800 Speaker 4: him being a master deal maker and how he's the 100 00:04:55,839 --> 00:04:58,880 Speaker 4: only one who can come in and solve this whole problem. 101 00:04:59,279 --> 00:05:00,919 Speaker 4: I mean, how much that carries. 102 00:05:01,000 --> 00:05:03,080 Speaker 3: We have to see. All right, Judan, thank you so much. 103 00:05:03,120 --> 00:05:03,640 Speaker 3: We appreciate it. 104 00:05:03,720 --> 00:05:07,520 Speaker 2: June Grosso, a legal analyst for Bloomberg, giving us the 105 00:05:07,600 --> 00:05:10,480 Speaker 2: latest on the sentence handing down from the New York 106 00:05:10,480 --> 00:05:13,400 Speaker 2: Court here in President Trump, as well as the oral 107 00:05:13,480 --> 00:05:16,119 Speaker 2: arguments being heard right now in the US Supreme Court 108 00:05:16,160 --> 00:05:19,080 Speaker 2: regarding TikTok and the ownership there. 109 00:05:19,120 --> 00:05:21,479 Speaker 3: So we'll keep in touch with June. 110 00:05:22,600 --> 00:05:26,520 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch the program 111 00:05:26,600 --> 00:05:30,039 Speaker 1: live weekdays at ten am Eastern on Applecarplay and Android 112 00:05:30,040 --> 00:05:33,039 Speaker 1: Auto with the Bloomberg Business App. You can also listen 113 00:05:33,160 --> 00:05:36,400 Speaker 1: live on Amazon Alexa from our flagship New York station, 114 00:05:36,960 --> 00:05:40,240 Speaker 1: Just say Alexa Play Bloomberg eleven thirty. 115 00:05:40,600 --> 00:05:42,680 Speaker 2: It is normal Linda sitting in for Alex deal on 116 00:05:42,720 --> 00:05:46,720 Speaker 2: Paul Swinginger live here in our Bloomberg Interactive Brokers studio, streaming. 117 00:05:46,320 --> 00:05:47,560 Speaker 3: Live on YouTube as well. 118 00:05:47,880 --> 00:05:50,680 Speaker 2: Let me get to the economic data points we saw today, 119 00:05:50,680 --> 00:05:52,839 Speaker 2: particularly the job zumbers. We can do that with Jeffrey Cleveland, 120 00:05:52,880 --> 00:05:55,400 Speaker 2: chief economist for Peydon and Regal. Jeffrey, thank you so 121 00:05:55,480 --> 00:05:58,120 Speaker 2: much for joining us. Jeffrey, I know you're based in 122 00:05:58,200 --> 00:06:01,839 Speaker 2: Los Angeles. You know, terrible situation out there. I wonder 123 00:06:01,839 --> 00:06:03,320 Speaker 2: if we could just get a couple of minutes from you. 124 00:06:03,320 --> 00:06:05,480 Speaker 2: You're right on the ground there in Los Angeles. Uh, 125 00:06:05,640 --> 00:06:09,360 Speaker 2: kind of what's the experience like, Well, it's I. 126 00:06:09,320 --> 00:06:13,479 Speaker 7: Mean, condolences to all the families who've lost property and 127 00:06:13,520 --> 00:06:16,640 Speaker 7: loved ones and you know, big shout out to all 128 00:06:16,680 --> 00:06:19,719 Speaker 7: the first responders. I think it's it's just amazing working 129 00:06:19,720 --> 00:06:22,760 Speaker 7: through the night here to to try and keep things 130 00:06:22,760 --> 00:06:25,800 Speaker 7: in check. I mean, this is an ongoing situation. We're 131 00:06:25,800 --> 00:06:29,040 Speaker 7: still in the midst of it. You know. Fortunately, in 132 00:06:29,120 --> 00:06:33,240 Speaker 7: my personal situation, we've been very fortunate, and it's great 133 00:06:33,279 --> 00:06:35,640 Speaker 7: to see the community in Los Angeles, a lot of 134 00:06:35,680 --> 00:06:38,200 Speaker 7: neighbors coming together and helping each other. 135 00:06:38,240 --> 00:06:40,359 Speaker 5: So I think that that's been you know, you know, 136 00:06:40,480 --> 00:06:41,680 Speaker 5: one positive. 137 00:06:41,240 --> 00:06:44,080 Speaker 7: Aspect of this, of this whole affair, all right, Jeffrey, 138 00:06:44,080 --> 00:06:46,479 Speaker 7: our thoughts and fairs are obviously with our good friends 139 00:06:46,480 --> 00:06:48,799 Speaker 7: out there in Los Angeles, So you guys stay safe. 140 00:06:49,240 --> 00:06:53,080 Speaker 2: Jeffrey, we had a really really strong nonfoum payrolls a 141 00:06:53,160 --> 00:06:53,880 Speaker 2: number here today. 142 00:06:54,120 --> 00:06:55,240 Speaker 3: What were your takeaways. 143 00:06:56,000 --> 00:06:58,400 Speaker 7: I mean, I think it's marvelous. I mean, all things considered. 144 00:06:58,480 --> 00:07:01,240 Speaker 7: You know, I'm usually very up beat. It's kind of 145 00:07:01,240 --> 00:07:03,360 Speaker 7: hard to be upbeat, you know, here in LA on 146 00:07:03,400 --> 00:07:05,760 Speaker 7: a day like this, but you know, the job's data 147 00:07:05,760 --> 00:07:06,239 Speaker 7: is excellent. 148 00:07:07,240 --> 00:07:10,280 Speaker 5: You know. I guess a few myths that have been debunked. 149 00:07:10,320 --> 00:07:12,760 Speaker 7: One was that, you know, Paul high rates, we're going 150 00:07:12,840 --> 00:07:14,120 Speaker 7: to derail the economy. 151 00:07:14,560 --> 00:07:15,920 Speaker 5: It just really hasn't happened. 152 00:07:16,560 --> 00:07:20,120 Speaker 7: Average payroll growth in twenty twenty four, I guess when 153 00:07:20,120 --> 00:07:21,720 Speaker 7: all things are said and done, looks like it'll be 154 00:07:21,760 --> 00:07:24,600 Speaker 7: around one hundred and eighty six thousand monthly average pace, 155 00:07:25,000 --> 00:07:27,200 Speaker 7: which is a little bit slower than twenty twenty three, 156 00:07:27,240 --> 00:07:31,280 Speaker 7: but excellent job growth. It's keeping that unemployment rate just 157 00:07:31,320 --> 00:07:34,720 Speaker 7: above four percent for the last seven months, really, which 158 00:07:34,720 --> 00:07:37,440 Speaker 7: is really remarkable the stability we're seeing there. So I 159 00:07:37,440 --> 00:07:41,200 Speaker 7: think this is a great jobs report all things considered. 160 00:07:41,600 --> 00:07:45,000 Speaker 7: If inflation continues to moderate, this is really the soft 161 00:07:45,080 --> 00:07:48,080 Speaker 7: landing that we had been hoping for, and definitely the 162 00:07:48,080 --> 00:07:49,800 Speaker 7: FED has been hoping for it. So it's all around 163 00:07:49,800 --> 00:07:51,880 Speaker 7: great news actually on all fronts for me. 164 00:07:52,560 --> 00:07:55,120 Speaker 6: So, Jeffrey, this was obviously good news and when we 165 00:07:55,160 --> 00:07:57,320 Speaker 6: think about the strength of the US economy, But of 166 00:07:57,320 --> 00:07:59,920 Speaker 6: course there are some speculations about how this could affect 167 00:08:00,240 --> 00:08:02,600 Speaker 6: the Fed's rate cut trajectory. Of course, you mentioned that 168 00:08:02,640 --> 00:08:05,720 Speaker 6: there is still scope for rate cuts in twenty twenty five, 169 00:08:06,160 --> 00:08:09,120 Speaker 6: but when what's the timeline being in your view. 170 00:08:09,640 --> 00:08:12,680 Speaker 7: I think the most important message for investors is that 171 00:08:12,920 --> 00:08:16,360 Speaker 7: the FED is not trying to slow the economy or 172 00:08:16,920 --> 00:08:19,840 Speaker 7: soften the labor market. I think the very content with 173 00:08:19,880 --> 00:08:22,120 Speaker 7: where things are. As far as the labor market being 174 00:08:22,240 --> 00:08:26,000 Speaker 7: a threat to the inflation outlook, I think those risks 175 00:08:26,040 --> 00:08:29,280 Speaker 7: have diminished. So average hourly earnings back below four percent, 176 00:08:29,960 --> 00:08:33,720 Speaker 7: So we're not in that situation where we were two 177 00:08:33,760 --> 00:08:35,760 Speaker 7: years ago where people were worried about a wage price 178 00:08:36,120 --> 00:08:38,360 Speaker 7: sort of spiral. So I don't think the Fed needs 179 00:08:38,360 --> 00:08:41,240 Speaker 7: to try to slow the labor market. They would like 180 00:08:41,280 --> 00:08:42,800 Speaker 7: to stick the landing, they would like to get a 181 00:08:42,800 --> 00:08:45,880 Speaker 7: soft landing, but I think they can be patient from here. 182 00:08:46,200 --> 00:08:49,040 Speaker 7: I think for us that means waiting to see if 183 00:08:49,120 --> 00:08:54,320 Speaker 7: inflation continues to moderate. We got a very favorable core 184 00:08:54,400 --> 00:08:57,559 Speaker 7: PCEE reading for November, just you know, just before the 185 00:08:57,640 --> 00:08:59,959 Speaker 7: end of the year. So if we get more readings 186 00:09:00,120 --> 00:09:02,680 Speaker 7: like that to start twenty twenty five, I think that 187 00:09:02,679 --> 00:09:04,680 Speaker 7: could be very good news. So I think they could wait, 188 00:09:05,040 --> 00:09:07,880 Speaker 7: be patient. No urgency to cut rates, but we do 189 00:09:07,920 --> 00:09:10,280 Speaker 7: think they will cut rates over the course of the year. 190 00:09:10,360 --> 00:09:13,600 Speaker 7: Right now, we're still penciled in at one cut per quarter, 191 00:09:14,080 --> 00:09:16,800 Speaker 7: so about one hundred basis points, but that's really driven 192 00:09:16,840 --> 00:09:20,319 Speaker 7: by inflation getting back to two percent at some point. 193 00:09:20,800 --> 00:09:22,400 Speaker 2: Yeah, and it looks like, you know, I'm just looking 194 00:09:22,400 --> 00:09:24,320 Speaker 2: at the University of Michigan data and they have obviously 195 00:09:24,360 --> 00:09:27,160 Speaker 2: some one year inflation outlook five to ten year inflation 196 00:09:27,160 --> 00:09:29,000 Speaker 2: out looks. Both of those ticked up to about three 197 00:09:29,040 --> 00:09:31,560 Speaker 2: point three percent, you know, much higher, well, I guess, 198 00:09:31,559 --> 00:09:34,000 Speaker 2: noticeably higher than worth they were last month, and higher 199 00:09:34,040 --> 00:09:36,200 Speaker 2: than maybe the consensus forecast there. 200 00:09:36,400 --> 00:09:37,840 Speaker 3: What do you think that data reflects. 201 00:09:38,320 --> 00:09:40,680 Speaker 5: I think that reflects sentiment, Paul. I mean, you do. 202 00:09:40,880 --> 00:09:44,400 Speaker 7: Every client that I talk to, colleagues and friends and 203 00:09:44,400 --> 00:09:48,280 Speaker 7: family members, they're definitely worried that inflation will pick back up, 204 00:09:49,040 --> 00:09:51,880 Speaker 7: whether you know that's something they're seeing in their day 205 00:09:51,920 --> 00:09:54,840 Speaker 7: to day or it's just the fear maybe some economic 206 00:09:54,880 --> 00:09:57,800 Speaker 7: policy policy shifts that are going to be enacted here 207 00:09:57,800 --> 00:10:00,520 Speaker 7: that will push inflation back up. That's definitely power fear 208 00:10:00,760 --> 00:10:02,680 Speaker 7: that you hear express. So maybe that's been showing up 209 00:10:02,720 --> 00:10:04,959 Speaker 7: in sentiment indicators. Looking at the end, you know, the 210 00:10:05,280 --> 00:10:09,720 Speaker 7: actual data though for core PCE, we're pretty pretty optimistic, Paul. 211 00:10:09,960 --> 00:10:10,439 Speaker 5: We had that. 212 00:10:10,400 --> 00:10:13,760 Speaker 7: Point one percent month to month reading for November, and 213 00:10:13,920 --> 00:10:16,080 Speaker 7: you know, when we run the numbers, it's possible core 214 00:10:16,120 --> 00:10:19,439 Speaker 7: PC gets to two percent year on year by sometime 215 00:10:19,480 --> 00:10:22,320 Speaker 7: in the third quarter of this year. Of twenty twenty five, 216 00:10:22,360 --> 00:10:25,720 Speaker 7: which will be which will be fantastic news for everyone, 217 00:10:25,720 --> 00:10:30,160 Speaker 7: for consumers especially, So I think that's maybe sentiment driving 218 00:10:30,200 --> 00:10:32,959 Speaker 7: things more than actual inflation data that we're seeing. 219 00:10:33,600 --> 00:10:36,559 Speaker 6: Jeffrey quickly, what was the driving force behind the pickup 220 00:10:36,640 --> 00:10:38,320 Speaker 6: in the December payrolls numbers? 221 00:10:39,679 --> 00:10:42,280 Speaker 7: Well, I mean, I think, you know, across the board, 222 00:10:42,480 --> 00:10:46,640 Speaker 7: the surprise here is probably the government payrolls that being 223 00:10:46,679 --> 00:10:52,000 Speaker 7: in there, leisure and hospitality. I think overall, just everyone's 224 00:10:52,080 --> 00:10:54,920 Speaker 7: expecting that the higher interest rates we're going to lead 225 00:10:54,960 --> 00:10:57,960 Speaker 7: to a cool down, a bit more notable slowdown, and 226 00:10:58,000 --> 00:11:00,560 Speaker 7: we really, we really haven't seen that. The The three 227 00:11:00,600 --> 00:11:03,520 Speaker 7: month moving average was one hundred and seventy k so 228 00:11:03,720 --> 00:11:07,400 Speaker 7: even if you exclude the December reading, you still see 229 00:11:07,920 --> 00:11:10,320 Speaker 7: pretty solid three month average. 230 00:11:10,400 --> 00:11:12,080 Speaker 5: So just a lot more. 231 00:11:11,960 --> 00:11:14,880 Speaker 7: Resilience overall in the pace of payrolls the last few months, 232 00:11:15,120 --> 00:11:16,440 Speaker 7: and many people had expected. 233 00:11:16,600 --> 00:11:16,800 Speaker 3: Hie. 234 00:11:16,840 --> 00:11:19,080 Speaker 2: Jeffrey, thank you so much for We appreciate it. Jeffrey Cleveland, 235 00:11:19,200 --> 00:11:21,920 Speaker 2: chief economist, paid in Narrigo. He is based in Los Angeles, 236 00:11:21,960 --> 00:11:23,760 Speaker 2: so we wish him and all our good friends in 237 00:11:23,800 --> 00:11:25,560 Speaker 2: Los Angeles god speed here as they deal with this 238 00:11:25,880 --> 00:11:26,800 Speaker 2: these fires. 239 00:11:26,480 --> 00:11:31,720 Speaker 1: Here you're listening to the Bloomberg Intelligence podcast. Catch us 240 00:11:31,800 --> 00:11:34,840 Speaker 1: live weekdays at ten am Eastern on Apple Coarclay, and 241 00:11:34,840 --> 00:11:38,120 Speaker 1: Android Auto with the Bloomberg Business App. Listen on demand 242 00:11:38,160 --> 00:11:42,120 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 243 00:11:43,240 --> 00:11:45,800 Speaker 3: The economic data point of the day, of course, was the. 244 00:11:47,600 --> 00:11:51,199 Speaker 2: Labor data payroll number coming out change non farm payroll 245 00:11:51,360 --> 00:11:53,640 Speaker 2: came out in two hundred and fifty six thousand, and 246 00:11:53,760 --> 00:11:56,000 Speaker 2: consentsus was one hundred and sixty five thousand, So a 247 00:11:56,000 --> 00:11:58,400 Speaker 2: big beat in terms of the labor marketing receiving movement 248 00:11:58,400 --> 00:12:00,160 Speaker 2: in the financial markets. 249 00:12:00,160 --> 00:12:02,080 Speaker 3: Old of that, let's break that number down a little bit. 250 00:12:02,080 --> 00:12:06,360 Speaker 2: We can do that with Kate Dushane, CEO of RGP. Kate, 251 00:12:06,400 --> 00:12:10,640 Speaker 2: thanks so much for joining us here. Again, a big print, 252 00:12:10,960 --> 00:12:12,960 Speaker 2: big beat on that headline print. 253 00:12:13,000 --> 00:12:14,880 Speaker 3: What did you take away? 254 00:12:15,240 --> 00:12:15,440 Speaker 5: Well? 255 00:12:15,440 --> 00:12:19,079 Speaker 8: I think that tells us that the labor market continues 256 00:12:19,160 --> 00:12:22,559 Speaker 8: to be very strong. I think that's a good indication, 257 00:12:22,640 --> 00:12:26,200 Speaker 8: although it will put a pause probably on interest rate cuts, 258 00:12:27,280 --> 00:12:29,400 Speaker 8: but it does tell us that the market is stronger 259 00:12:29,440 --> 00:12:32,439 Speaker 8: than we've all believed. 260 00:12:33,520 --> 00:12:35,640 Speaker 6: How are you thinking about it? In the mix of 261 00:12:35,760 --> 00:12:38,200 Speaker 6: the outlook for how the FAG can be viewing rake 262 00:12:38,280 --> 00:12:39,440 Speaker 6: cuts in twenty twenty five. 263 00:12:40,440 --> 00:12:44,680 Speaker 8: Well, I think it probably portends a pause in January 264 00:12:44,720 --> 00:12:47,920 Speaker 8: and we'll see where we go. What we need to 265 00:12:48,000 --> 00:12:52,440 Speaker 8: see is more movement in the labor market, not just 266 00:12:52,640 --> 00:12:59,199 Speaker 8: new jobs, but movement that really tells us that projects 267 00:12:59,240 --> 00:13:02,439 Speaker 8: are starting to have up and so many companies are 268 00:13:02,480 --> 00:13:08,880 Speaker 8: facing technological change and disruption, and we need to see 269 00:13:08,960 --> 00:13:13,800 Speaker 8: more transactional work come back into the marketplace, and that 270 00:13:14,040 --> 00:13:20,600 Speaker 8: then will signal that really post election, the economic market 271 00:13:20,760 --> 00:13:21,439 Speaker 8: is improving. 272 00:13:22,559 --> 00:13:24,439 Speaker 2: Kate, how about on the wage front here, we had 273 00:13:24,520 --> 00:13:26,920 Speaker 2: average hourly earnings on a year of a year basis 274 00:13:26,920 --> 00:13:29,199 Speaker 2: came in a positive three point nine percent, just a 275 00:13:29,240 --> 00:13:31,280 Speaker 2: smidge below the four percent consensus. 276 00:13:31,559 --> 00:13:33,960 Speaker 3: What's the wage market look like. 277 00:13:34,840 --> 00:13:37,960 Speaker 8: Well, I think it's been strong, but it's i'd say 278 00:13:38,000 --> 00:13:41,760 Speaker 8: cooling slightly. This is an interesting time of year because 279 00:13:41,800 --> 00:13:44,839 Speaker 8: the quits rate is down, but that's to be expected 280 00:13:44,920 --> 00:13:47,959 Speaker 8: given that so many companies are year end and they 281 00:13:48,160 --> 00:13:50,920 Speaker 8: are paying bonuses in the first quarter of the new 282 00:13:50,960 --> 00:13:53,720 Speaker 8: calendar year, so people tend to stay put a little 283 00:13:53,720 --> 00:13:56,400 Speaker 8: bit to get their bonuses and then start moving around. 284 00:13:56,920 --> 00:14:00,480 Speaker 8: We are cautiously optimistic that we're going to start seeing 285 00:14:00,520 --> 00:14:04,480 Speaker 8: more talent movement. It's been pretty stagnant the last twelve 286 00:14:04,600 --> 00:14:08,880 Speaker 8: months as people have gotten more conservative in their thinking, 287 00:14:09,040 --> 00:14:13,800 Speaker 8: both clients spending money and talent moving. But we're cautiously 288 00:14:13,840 --> 00:14:16,960 Speaker 8: optimistic that that's opening up in the new calendar year 289 00:14:17,080 --> 00:14:23,320 Speaker 8: post election, when economic activity may pick up with deregulation, 290 00:14:23,800 --> 00:14:24,720 Speaker 8: tax cuts, etc. 291 00:14:25,760 --> 00:14:28,880 Speaker 6: What were the main drivers behind this big blowout report? 292 00:14:28,960 --> 00:14:31,360 Speaker 6: We saw a big beat this morning. What was driving that? 293 00:14:32,280 --> 00:14:36,640 Speaker 8: Yeah, mostly it was in retail, hospitality, healthcare, and government. 294 00:14:37,160 --> 00:14:39,200 Speaker 8: So you know, you have to look at where the 295 00:14:39,240 --> 00:14:43,680 Speaker 8: activity is strongest, and it's not absolutely across the board. 296 00:14:43,760 --> 00:14:47,120 Speaker 8: I think manufacturing was down as a matter of fact, 297 00:14:47,200 --> 00:14:49,720 Speaker 8: So you know, when you look at a report like this, 298 00:14:49,920 --> 00:14:52,000 Speaker 8: you've got to dig into the detail to say how 299 00:14:52,040 --> 00:14:55,080 Speaker 8: does it impact particular segments of business. 300 00:14:56,880 --> 00:15:00,520 Speaker 2: We had news this week that's really important too, Global 301 00:15:00,520 --> 00:15:03,640 Speaker 2: Wall Street JP Morgan announced they want everybody back in 302 00:15:03,680 --> 00:15:06,320 Speaker 2: the office five days a week, and that follows on 303 00:15:06,360 --> 00:15:09,720 Speaker 2: some other big tech companies like Amazon making similar announcements. 304 00:15:09,880 --> 00:15:12,440 Speaker 2: Are we going to see some change here? I kind 305 00:15:12,480 --> 00:15:14,440 Speaker 2: of felt like the status quo was a hybrid thing, 306 00:15:14,480 --> 00:15:16,800 Speaker 2: but it still seems like some big companies want to 307 00:15:16,800 --> 00:15:18,160 Speaker 2: get their people back full. 308 00:15:17,960 --> 00:15:21,000 Speaker 8: Time, right, So we work with some of the best 309 00:15:21,000 --> 00:15:23,400 Speaker 8: brands in the world. We work with eighty eight percent 310 00:15:23,480 --> 00:15:26,800 Speaker 8: of the Fortune five hundred, so we have a good 311 00:15:26,840 --> 00:15:29,680 Speaker 8: pulse of what's happening in the workplace. And I would 312 00:15:29,680 --> 00:15:33,920 Speaker 8: say absolutely the dominant trend is still a hybrid environment. 313 00:15:35,120 --> 00:15:39,640 Speaker 8: So many highly skilled employees say they will not go 314 00:15:39,720 --> 00:15:43,600 Speaker 8: back full time. So I think that while certain companies 315 00:15:43,640 --> 00:15:47,720 Speaker 8: are laying down these mandates very hard to enforce them, 316 00:15:47,840 --> 00:15:50,320 Speaker 8: very hard to keep high potentials who don't want to 317 00:15:50,320 --> 00:15:53,600 Speaker 8: work that way anymore. So clearly what we see across 318 00:15:53,600 --> 00:15:55,920 Speaker 8: the board in our client base is a hybrid approach 319 00:15:56,440 --> 00:15:59,680 Speaker 8: two to three days a week in the office for collaboration, 320 00:16:00,080 --> 00:16:04,920 Speaker 8: learning together, and some flexibility, which is what high performing 321 00:16:04,960 --> 00:16:05,720 Speaker 8: talent wants. 322 00:16:06,000 --> 00:16:08,080 Speaker 3: All right, Kate, thank you so much. We appreciate that. 323 00:16:08,160 --> 00:16:11,840 Speaker 2: Kate to Shane, CEO of our GP, I don't know. 324 00:16:11,920 --> 00:16:14,000 Speaker 2: I kind of feel like we're seeing a little bit 325 00:16:14,000 --> 00:16:17,920 Speaker 2: of a move and a pendulum back to more. 326 00:16:17,680 --> 00:16:19,880 Speaker 3: In office versus less definitely in office. 327 00:16:19,920 --> 00:16:22,040 Speaker 2: I don't know, but I mean, Kate again, she talks 328 00:16:22,040 --> 00:16:24,640 Speaker 2: to all these Fortune five hundred companies. I think a 329 00:16:24,640 --> 00:16:26,680 Speaker 2: lot of people I can still push back on that. 330 00:16:26,720 --> 00:16:28,680 Speaker 2: We have to see that plays out. 331 00:16:30,320 --> 00:16:34,040 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 332 00:16:34,120 --> 00:16:37,200 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 333 00:16:37,200 --> 00:16:40,520 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 334 00:16:40,600 --> 00:16:44,120 Speaker 1: you get your podcasts, or watch us live on YouTube. 335 00:16:45,000 --> 00:16:47,840 Speaker 2: All right, normal, Linda, and for Alex Steel here today, 336 00:16:47,840 --> 00:16:50,160 Speaker 2: I'm Paul Sweeting. We're live on our Bloomberg Interactive Broker studio. 337 00:16:50,200 --> 00:16:53,080 Speaker 2: We're streaming live on YouTube as well. Of course, the 338 00:16:53,520 --> 00:16:56,760 Speaker 2: big news story of the week have been the terrible 339 00:16:57,280 --> 00:17:01,280 Speaker 2: fires in Los Angeles and we've been trying to get 340 00:17:01,280 --> 00:17:04,119 Speaker 2: some different angles on that all week. Will Wade joins 341 00:17:04,160 --> 00:17:07,240 Speaker 2: this energy and climate reporter for Bloomberg News. Well, thanks 342 00:17:07,280 --> 00:17:09,240 Speaker 2: so much. I appreciate getting some time here. We want 343 00:17:09,240 --> 00:17:11,400 Speaker 2: to talk to you about the Constellation deal as well 344 00:17:11,440 --> 00:17:12,200 Speaker 2: in the energy space. 345 00:17:12,200 --> 00:17:15,800 Speaker 3: But first, anything to add on these LA fires. 346 00:17:17,280 --> 00:17:21,080 Speaker 9: I mean, the fires are just tragic, They're huge. We 347 00:17:21,160 --> 00:17:25,159 Speaker 9: see that Cawfires just ranked the Palisades fire as the 348 00:17:25,200 --> 00:17:27,840 Speaker 9: third most damaging in state history. To Eton one is 349 00:17:27,880 --> 00:17:30,320 Speaker 9: right behind it is the fourth, and of course the 350 00:17:30,320 --> 00:17:33,960 Speaker 9: worst was the twenty eighteen campfire that destroyed the entire 351 00:17:33,960 --> 00:17:36,640 Speaker 9: city of Palisades. But these things are still burning, and 352 00:17:36,760 --> 00:17:38,760 Speaker 9: you know, there's still one hundred and fifty thousand people 353 00:17:38,760 --> 00:17:41,320 Speaker 9: that are under evacuation order, including some of my family. 354 00:17:41,520 --> 00:17:42,760 Speaker 3: Talk to us about that. Do you have some of 355 00:17:42,760 --> 00:17:44,080 Speaker 3: your family in that part of the world. 356 00:17:44,960 --> 00:17:45,240 Speaker 10: Sure. 357 00:17:45,359 --> 00:17:49,600 Speaker 9: My aunt lives in North Pasadena. She was evacuated on Tuesday. 358 00:17:50,160 --> 00:17:53,520 Speaker 9: She's doing fine, she's rattled, but I've been tracking the 359 00:17:53,560 --> 00:17:56,320 Speaker 9: progress of the fire. It's kind of getting closer to 360 00:17:56,480 --> 00:17:59,200 Speaker 9: her house. I really hope it does fine. It's actually 361 00:17:59,200 --> 00:18:02,200 Speaker 9: a really nice house. Use it onto the Apple TV 362 00:18:02,280 --> 00:18:07,280 Speaker 9: show Shrinking. Yeah, it's a really nice place. And then 363 00:18:07,640 --> 00:18:10,919 Speaker 9: I heard from my mom yesterday. She said, Hey, remember 364 00:18:10,960 --> 00:18:13,440 Speaker 9: that restaurant I took you to brunch last summer. 365 00:18:13,160 --> 00:18:15,879 Speaker 11: When you were visiting. Yeah, it burned down. That was 366 00:18:15,960 --> 00:18:19,360 Speaker 11: up on North Lake Street. So it feels very personal 367 00:18:19,400 --> 00:18:19,639 Speaker 11: to me. 368 00:18:20,119 --> 00:18:21,600 Speaker 3: Yep, more and more stories coming out. 369 00:18:21,760 --> 00:18:21,960 Speaker 11: Yeah. 370 00:18:21,960 --> 00:18:23,720 Speaker 6: I mean, when you think about a lot of these stories, 371 00:18:23,960 --> 00:18:25,960 Speaker 6: some people didn't even have the opportunity to go back 372 00:18:25,960 --> 00:18:28,879 Speaker 6: to their homes to grab items, especially as the evacuations 373 00:18:28,880 --> 00:18:31,720 Speaker 6: have been in place. Have your family member spoken at 374 00:18:31,720 --> 00:18:33,639 Speaker 6: all to that experience or what have you been hearing 375 00:18:33,680 --> 00:18:34,200 Speaker 6: on the ground. 376 00:18:35,320 --> 00:18:38,240 Speaker 9: I know that my mom was telling me that her 377 00:18:38,240 --> 00:18:40,600 Speaker 9: aunt left and my aunt left in such a hurry. 378 00:18:40,920 --> 00:18:45,080 Speaker 9: She left some important medication behind and they were able 379 00:18:45,119 --> 00:18:46,960 Speaker 9: to go back and get that, and neighborhood was able 380 00:18:46,960 --> 00:18:47,359 Speaker 9: to get in. 381 00:18:47,400 --> 00:18:49,639 Speaker 10: But it's unclear when they're going to be able to 382 00:18:49,640 --> 00:18:50,080 Speaker 10: go back. 383 00:18:51,359 --> 00:18:56,480 Speaker 9: They're not very contained right now. Palisades fire is still 384 00:18:56,480 --> 00:18:59,160 Speaker 9: only like eight percent contained, and they eaten one that's 385 00:18:59,200 --> 00:19:01,520 Speaker 9: the one in Pacity is only three percent contained. 386 00:19:01,760 --> 00:19:03,679 Speaker 10: Those are not big numbers. 387 00:19:03,960 --> 00:19:07,160 Speaker 2: Yeah, absolutely, all right, Well, hopefully some good news coming 388 00:19:07,160 --> 00:19:09,520 Speaker 2: out of that part of the world soon. Let's talk 389 00:19:09,520 --> 00:19:14,080 Speaker 2: about in your world of reporting. Their Constellation Energy surged 390 00:19:14,400 --> 00:19:17,800 Speaker 2: after agreed to acquire closely held Calpine Core before sixteen 391 00:19:17,840 --> 00:19:21,520 Speaker 2: point four billion to create the largest fleet of US 392 00:19:21,560 --> 00:19:22,320 Speaker 2: power stations. 393 00:19:22,440 --> 00:19:24,120 Speaker 3: Talk to us about this deal. What's going on here? 394 00:19:25,320 --> 00:19:29,760 Speaker 9: So Constellation already is notable. They have the biggest fleet 395 00:19:29,800 --> 00:19:33,560 Speaker 9: of nuclear power plants, and their shares have gone up 396 00:19:33,640 --> 00:19:35,720 Speaker 9: like more than one hundred percent in the past year 397 00:19:36,320 --> 00:19:39,160 Speaker 9: because like the last year, all we've seen in electricity 398 00:19:39,400 --> 00:19:43,679 Speaker 9: is more and more demand for electricity from data centers 399 00:19:43,720 --> 00:19:48,280 Speaker 9: and artificial intelligence and electric vehicles and people shifting their 400 00:19:48,280 --> 00:19:51,960 Speaker 9: homes to electric heating and gas heating, and basically anyone 401 00:19:52,000 --> 00:19:54,680 Speaker 9: who's got electricity to sell isn't a really strong position. 402 00:19:56,320 --> 00:20:00,359 Speaker 9: So Constellation went out and bought Calpine, which is the 403 00:20:00,359 --> 00:20:03,600 Speaker 9: biggest gas provider. They've got the biggest fleet of gas 404 00:20:03,720 --> 00:20:06,640 Speaker 9: power plants, and so now they're going to have together 405 00:20:07,160 --> 00:20:09,280 Speaker 9: the biggest power plant fleet. 406 00:20:09,040 --> 00:20:12,280 Speaker 11: In the entire United States. It's going to be enormous. 407 00:20:12,560 --> 00:20:15,879 Speaker 9: And it comes to time when power demand is just 408 00:20:15,960 --> 00:20:19,000 Speaker 9: going up in ways that we haven't seen in decades, 409 00:20:20,040 --> 00:20:22,600 Speaker 9: and the utilities weren't really ready for this that we 410 00:20:22,680 --> 00:20:26,400 Speaker 9: didn't see the AI boom coming a year ago. And 411 00:20:26,600 --> 00:20:30,800 Speaker 9: so now if you have a power plant, you're in 412 00:20:30,880 --> 00:20:33,199 Speaker 9: a great place, and it takes years to build moolence. 413 00:20:34,000 --> 00:20:36,960 Speaker 6: Is this transaction setting the tone for iminate activity in 414 00:20:37,000 --> 00:20:39,399 Speaker 6: the energy space? More broadly, what's the outlook for the 415 00:20:39,440 --> 00:20:41,640 Speaker 6: return of more deals in twenty twenty five. 416 00:20:42,960 --> 00:20:45,240 Speaker 9: We could see more. I'm hearing a lot of people 417 00:20:45,359 --> 00:20:48,840 Speaker 9: talking about interest in energy transactions. And it used to 418 00:20:48,920 --> 00:20:51,879 Speaker 9: be one of the sleepiest corners of the of the 419 00:20:52,119 --> 00:20:55,560 Speaker 9: M and A space. People thought, you know, power plants 420 00:20:55,560 --> 00:20:58,360 Speaker 9: were just like super boring assets. 421 00:20:58,400 --> 00:21:00,240 Speaker 10: They just make power and sell power. 422 00:21:00,119 --> 00:21:03,920 Speaker 9: And utilities have reliable dividends that your grandmothers always love. 423 00:21:04,680 --> 00:21:07,600 Speaker 9: But the share prices for so many of these companies 424 00:21:07,640 --> 00:21:09,760 Speaker 9: have just surged in the past year. So I mean 425 00:21:09,800 --> 00:21:11,160 Speaker 9: it's given them money to go shopping. 426 00:21:12,000 --> 00:21:14,240 Speaker 2: Well, let's step back in your space, just the greater 427 00:21:14,400 --> 00:21:15,200 Speaker 2: energy space here. 428 00:21:15,359 --> 00:21:17,360 Speaker 3: Where does nuclear fit in here? 429 00:21:17,400 --> 00:21:20,200 Speaker 2: We've had some entrepreneurs come in here and say, hey, 430 00:21:20,200 --> 00:21:23,880 Speaker 2: we've got some new technology. You tiny little nuclear plan, 431 00:21:23,920 --> 00:21:27,399 Speaker 2: I'll put it next to a big, you know, data center, 432 00:21:27,440 --> 00:21:29,160 Speaker 2: and we're all, it's a good way, it's a good option. 433 00:21:29,320 --> 00:21:31,320 Speaker 3: It talk to us about that type of stuff. 434 00:21:32,119 --> 00:21:35,760 Speaker 9: Okay, So on paper, that sounds like the perfect combination. 435 00:21:36,000 --> 00:21:39,920 Speaker 9: These small modular reactors can go next to the data centers. 436 00:21:40,040 --> 00:21:43,880 Speaker 9: The reactors run around the clock, the data centers run 437 00:21:43,920 --> 00:21:44,600 Speaker 9: around the clock. 438 00:21:44,920 --> 00:21:46,119 Speaker 10: It makes a lot of sense. 439 00:21:46,440 --> 00:21:48,879 Speaker 9: The thing to keep in mind is the time frame, 440 00:21:49,280 --> 00:21:51,520 Speaker 9: because we're not going to see any of these. 441 00:21:51,359 --> 00:21:55,119 Speaker 10: New reactors for years, maybe. 442 00:21:54,680 --> 00:21:56,800 Speaker 9: A couple by the end of the decade, most likely 443 00:21:56,880 --> 00:22:00,000 Speaker 9: a twenty thirties thing. But these are just very very 444 00:22:00,080 --> 00:22:04,520 Speaker 9: very slow moving projects. And the data center companies they 445 00:22:04,560 --> 00:22:06,960 Speaker 9: want as much power as they can get, like yesterday, 446 00:22:07,000 --> 00:22:07,760 Speaker 9: they need it now. 447 00:22:08,119 --> 00:22:10,200 Speaker 3: Yep. All right, So maybe we're going to see a 448 00:22:10,240 --> 00:22:10,960 Speaker 3: lot of gas. 449 00:22:11,320 --> 00:22:13,520 Speaker 2: Yes, yeah, I think you're right, and I think we've 450 00:22:13,520 --> 00:22:14,639 Speaker 2: got some of that in this country. 451 00:22:14,680 --> 00:22:15,000 Speaker 5: Will wait. 452 00:22:15,040 --> 00:22:16,280 Speaker 3: Thanks so much for joining us. We'll wait. 453 00:22:16,400 --> 00:22:19,639 Speaker 2: Energy and Climate reporter for Bloomberg News joining us via 454 00:22:19,720 --> 00:22:22,440 Speaker 2: zoom And we appreciate getting sharing some of his family 455 00:22:23,680 --> 00:22:25,680 Speaker 2: experiences that some of his family members are having out 456 00:22:25,680 --> 00:22:28,840 Speaker 2: there in Los Angeles as those folks continue to deal 457 00:22:28,880 --> 00:22:31,119 Speaker 2: with a very very difficult situation. And we heard from 458 00:22:31,200 --> 00:22:34,639 Speaker 2: Rob Carolin Bloomberg Meteorologists earlier in the hour a couple 459 00:22:34,640 --> 00:22:38,440 Speaker 2: of days here of some reduced wins maybe throughout the weekend, 460 00:22:38,680 --> 00:22:41,359 Speaker 2: and that's a would be a big help. But then unfortunately, 461 00:22:41,400 --> 00:22:44,800 Speaker 2: the forecast calls for those winds to pick up next week, 462 00:22:44,840 --> 00:22:47,800 Speaker 2: so maybe the firefighters can get a better handle on 463 00:22:47,840 --> 00:22:50,080 Speaker 2: some of these fires over the next several days. 464 00:22:50,680 --> 00:22:55,399 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 465 00:22:55,600 --> 00:22:59,080 Speaker 1: and anywhere else you get your podcasts. Listen live each 466 00:22:59,080 --> 00:23:04,200 Speaker 1: weekday to newon Eastern on Bloomberg dot Com, the iHeartRadio app, 467 00:23:04,400 --> 00:23:07,560 Speaker 1: tune In, and the Bloomberg Business app. You can also 468 00:23:07,720 --> 00:23:11,159 Speaker 1: watch us live every weekday on YouTube and always on 469 00:23:11,240 --> 00:23:12,480 Speaker 1: the Bloomberg terminal