1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,200 Speaker 1: us live on YouTube. 6 00:00:27,600 --> 00:00:28,040 Speaker 2: Joining us. 7 00:00:28,120 --> 00:00:32,360 Speaker 3: Nancyl is our chief global economist, Hyper Sandler. You killed 8 00:00:32,400 --> 00:00:37,239 Speaker 3: it in July about we can't get private enterprise to 9 00:00:37,560 --> 00:00:41,680 Speaker 3: employ people. Has the song changed in the last six months? 10 00:00:41,720 --> 00:00:42,159 Speaker 4: Near term? 11 00:00:42,280 --> 00:00:44,720 Speaker 5: No, employment's going to be on the week side. Companies 12 00:00:44,760 --> 00:00:48,000 Speaker 5: are still really focused on their profit margins, but employments 13 00:00:48,040 --> 00:00:52,240 Speaker 5: a lagging indicator quite quite frankly, the government did crowd 14 00:00:52,280 --> 00:00:54,680 Speaker 5: out employment earlier over the past couple of years, the 15 00:00:55,160 --> 00:00:59,080 Speaker 5: healthcare industry crowded out the private center education, so we're 16 00:00:59,120 --> 00:00:59,480 Speaker 5: kind of. 17 00:00:59,480 --> 00:01:00,800 Speaker 4: Unwhining that right now. 18 00:01:01,160 --> 00:01:03,840 Speaker 5: So that's also a headwind along with the private sector 19 00:01:03,880 --> 00:01:06,759 Speaker 5: still a little bit focused on protecting their profit margins. 20 00:01:06,800 --> 00:01:07,760 Speaker 2: When do we get. 21 00:01:07,560 --> 00:01:12,240 Speaker 3: Back to job formation that doesn't involve healthcare workers and bartenders. 22 00:01:12,880 --> 00:01:18,080 Speaker 5: Probably in mid twenty mid twenty twenty six. You're seeing 23 00:01:18,120 --> 00:01:21,720 Speaker 5: green shoots for the labor markets. You have profits improving 24 00:01:21,760 --> 00:01:23,959 Speaker 5: across the board, both s and p. Five hundred s 25 00:01:24,000 --> 00:01:26,840 Speaker 5: and P. Six hundred Russell two thousand, So you're getting 26 00:01:26,840 --> 00:01:29,640 Speaker 5: the breadth of now profits companies are willing to spend. 27 00:01:29,680 --> 00:01:32,520 Speaker 5: They always first spend on technology to further improve their 28 00:01:32,560 --> 00:01:36,080 Speaker 5: productivity and their profitability. And then you get employment. Employment 29 00:01:36,160 --> 00:01:38,480 Speaker 5: is a lagging indicator, so you're setting the stage for 30 00:01:38,560 --> 00:01:41,280 Speaker 5: employment as you move into the second third quarter of 31 00:01:41,319 --> 00:01:44,560 Speaker 5: twenty twenty six, and you are getting some indications that 32 00:01:44,640 --> 00:01:49,280 Speaker 5: it is incrementally improving. Small businesses have stopped firing, which 33 00:01:49,320 --> 00:01:52,520 Speaker 5: is again the first step in getting job job hiring. 34 00:01:52,560 --> 00:01:54,400 Speaker 5: As we go through twenty twenty six. 35 00:01:54,480 --> 00:01:58,520 Speaker 6: We've had a little bit of hindsight here, Nancy with tears. 36 00:01:59,040 --> 00:02:00,000 Speaker 4: What happened with tears? 37 00:02:00,040 --> 00:02:02,240 Speaker 6: How did they kind of impact the economy? 38 00:02:02,240 --> 00:02:02,720 Speaker 7: How are they? 39 00:02:02,800 --> 00:02:04,440 Speaker 6: How are they impacting the economy? 40 00:02:04,600 --> 00:02:07,920 Speaker 5: So first they are attacks. Tariffs are attacks. How much 41 00:02:08,560 --> 00:02:10,880 Speaker 5: as a share of a share of GDP you're about 42 00:02:10,919 --> 00:02:13,639 Speaker 5: over ten percent as a hit, up from two percent 43 00:02:13,760 --> 00:02:15,680 Speaker 5: at the beginning of the year, And it's really a 44 00:02:15,720 --> 00:02:19,640 Speaker 5: regressive tax on that lower end consumer, on smaller on 45 00:02:19,760 --> 00:02:24,480 Speaker 5: smaller businesses. There have been some offsets where some durable 46 00:02:24,480 --> 00:02:27,239 Speaker 5: good prices have gone up, other service prices have gone down. 47 00:02:27,280 --> 00:02:30,359 Speaker 5: Some food prices have gone down, but net they have 48 00:02:30,720 --> 00:02:34,200 Speaker 5: kept inflation. They have kept inflation sticky, sticky, sticky this. 49 00:02:34,200 --> 00:02:37,800 Speaker 6: Year going forward here, I mean, I'm looking at some 50 00:02:37,880 --> 00:02:40,960 Speaker 6: of the early retail sales we got from Black Friday, 51 00:02:41,320 --> 00:02:43,720 Speaker 6: Cyber Monday, whatever it's called, and so on. Seems like 52 00:02:43,760 --> 00:02:45,960 Speaker 6: the consumer is still okay out there. 53 00:02:45,960 --> 00:02:47,200 Speaker 2: How do you view the consumer? 54 00:02:47,360 --> 00:02:51,720 Speaker 5: So a consumer out of a slump, consumer spending always 55 00:02:51,720 --> 00:02:53,880 Speaker 5: turns up. I went back and looked at all cycles 56 00:02:53,880 --> 00:02:57,720 Speaker 5: since nineteen sixty. Consumer spending always turns up before jobs 57 00:02:57,720 --> 00:03:01,600 Speaker 5: turn up. Why they're highly sticklical. Interests are down, banks 58 00:03:01,639 --> 00:03:06,119 Speaker 5: are willing to make loans, they're refinancing their credit card debt, 59 00:03:06,160 --> 00:03:09,200 Speaker 5: they're using helock, going from something over twenty percent to 60 00:03:09,280 --> 00:03:12,080 Speaker 5: something less than less than ten percent. So it's not 61 00:03:12,320 --> 00:03:15,360 Speaker 5: jobs that actually drive consumer spending. It's it's the FED. 62 00:03:15,600 --> 00:03:17,959 Speaker 5: And then as you go into twenty twenty six, we're 63 00:03:17,960 --> 00:03:20,720 Speaker 5: going to get a big booster shot to disposable income 64 00:03:20,880 --> 00:03:23,080 Speaker 5: from these tax from these tax refunds. 65 00:03:23,440 --> 00:03:26,240 Speaker 3: Nancy Lazar, where this folks across the nation, We welcome 66 00:03:26,360 --> 00:03:28,920 Speaker 3: all of you finishing out the year. Are we drowning 67 00:03:28,919 --> 00:03:32,519 Speaker 3: in outlooks? Sam row has like forty seven outlooks to read. 68 00:03:32,600 --> 00:03:35,120 Speaker 3: Just today he's in charge of reading outlooks. We listen 69 00:03:35,200 --> 00:03:39,440 Speaker 3: to Sam row Ro look for him on substack as well. 70 00:03:39,440 --> 00:03:42,080 Speaker 3: But when Nancy Lazar, we have someone steeped in the 71 00:03:42,120 --> 00:03:45,800 Speaker 3: linkage here of a nation's history into our economy. I 72 00:03:45,840 --> 00:03:49,480 Speaker 3: look at ken Burns's magisterial American Revolution. There's a little 73 00:03:49,480 --> 00:03:52,800 Speaker 3: bit of grievance there which they highlight versus just simply 74 00:03:53,120 --> 00:03:55,960 Speaker 3: you know, Philadelphia against the King is a little more 75 00:03:55,960 --> 00:03:59,600 Speaker 3: complicated than that. The Element Trust Barometer this year the 76 00:03:59,680 --> 00:04:03,400 Speaker 3: high level of grievance towards government, business and the rich. 77 00:04:03,920 --> 00:04:08,840 Speaker 3: And it's his daily carrievance in agony within the news media. 78 00:04:09,200 --> 00:04:12,400 Speaker 3: You fought that for decades. Yeah, is it morning in 79 00:04:12,440 --> 00:04:14,560 Speaker 3: America and we just don't know it. Oh. 80 00:04:14,600 --> 00:04:17,520 Speaker 5: I think that's been unfolding for fifteen years. We've called 81 00:04:17,520 --> 00:04:20,680 Speaker 5: it the US manufacturing Renaissance started back in twenty ten 82 00:04:20,960 --> 00:04:23,760 Speaker 5: Middle America as our favorite emerging market. 83 00:04:24,320 --> 00:04:25,880 Speaker 4: You're seeing it certainly. 84 00:04:25,760 --> 00:04:29,359 Speaker 5: Within unemployment rates around individual states that are more business 85 00:04:29,400 --> 00:04:32,680 Speaker 5: are more business friendly. So in current policies certainly are 86 00:04:32,680 --> 00:04:35,960 Speaker 5: going to reinforce bringing back blue collar jobs to the 87 00:04:36,040 --> 00:04:38,159 Speaker 5: United States. And so we're quite excited. 88 00:04:39,000 --> 00:04:39,360 Speaker 4: At first. 89 00:04:39,360 --> 00:04:42,440 Speaker 5: The private sector started back in twenty ten, the corporate 90 00:04:42,520 --> 00:04:45,840 Speaker 5: tax cut in seventeen reinforced it, and now full capex 91 00:04:45,920 --> 00:04:49,960 Speaker 5: appreciation is going as another major booster shot for the 92 00:04:50,040 --> 00:04:54,000 Speaker 5: kind of reindustrialization of the of the United States, which 93 00:04:54,040 --> 00:04:57,480 Speaker 5: is a necessary backbone for every economy. I worry about 94 00:04:57,560 --> 00:05:00,440 Speaker 5: Germany Europe in general by allowing I need to come 95 00:05:00,440 --> 00:05:04,479 Speaker 5: in and dump cars. You need a diverse source of 96 00:05:04,600 --> 00:05:07,080 Speaker 5: jobs because we have a diverse labor force and we 97 00:05:07,120 --> 00:05:11,400 Speaker 5: need a big, big consumers need to have a choice 98 00:05:11,440 --> 00:05:13,359 Speaker 5: of what kind of job. Not every wants to go 99 00:05:13,400 --> 00:05:16,040 Speaker 5: to college. Nothing wrong with blue collar jobs, nothing wrong 100 00:05:16,080 --> 00:05:17,520 Speaker 5: with getting. 101 00:05:17,240 --> 00:05:21,040 Speaker 3: Out of nothing wrong with blue collar jobs. Paul missus 102 00:05:21,120 --> 00:05:25,800 Speaker 3: Keenan sists, we're hanging wallpaper. Have you priced out wallpaper hangers? 103 00:05:25,800 --> 00:05:25,960 Speaker 2: Oh? 104 00:05:26,040 --> 00:05:27,679 Speaker 7: Yeah, absolutely, I mean. 105 00:05:27,560 --> 00:05:29,880 Speaker 2: I mean, yeah, there's physicians. It mounts cinide. 106 00:05:30,040 --> 00:05:31,880 Speaker 4: Don't make that Sis's up. 107 00:05:32,200 --> 00:05:34,800 Speaker 6: So, I mean, is the give us a sense of 108 00:05:34,960 --> 00:05:38,760 Speaker 6: kind of the labor market here, because we it seems solid. 109 00:05:38,839 --> 00:05:42,360 Speaker 6: The unemployment rate, the headline number that we all look 110 00:05:42,400 --> 00:05:44,800 Speaker 6: at seems fine, seems kind of full employment ish. 111 00:05:46,160 --> 00:05:47,320 Speaker 4: Is it as strong as it looks? 112 00:05:47,760 --> 00:05:47,920 Speaker 3: Well? 113 00:05:48,000 --> 00:05:48,560 Speaker 4: Under the hood. 114 00:05:48,600 --> 00:05:50,880 Speaker 5: You have had some significant layof announcements here in the 115 00:05:50,920 --> 00:05:52,760 Speaker 5: fourth quarter, and so there is a chance that the 116 00:05:52,839 --> 00:05:56,039 Speaker 5: unemployment rate does grind higher as we go into the 117 00:05:56,040 --> 00:05:59,480 Speaker 5: first part of twenty twenty. Twenty twenty six, maybe around 118 00:05:59,480 --> 00:06:02,000 Speaker 5: five sent some of the leading indicator's point to about 119 00:06:02,000 --> 00:06:04,840 Speaker 5: five percent, But that's historically, as you just said, still 120 00:06:05,200 --> 00:06:08,800 Speaker 5: not high, and the labor market is a lagging indicator, 121 00:06:09,360 --> 00:06:11,520 Speaker 5: and as we go through twenty six, I think it 122 00:06:11,560 --> 00:06:13,839 Speaker 5: is incremently going to start to heal. 123 00:06:14,320 --> 00:06:15,440 Speaker 2: Tell me about it. I'm looking. 124 00:06:15,839 --> 00:06:18,359 Speaker 3: Paul taught me this screen to Wi screens, s and 125 00:06:18,400 --> 00:06:22,120 Speaker 3: P up sixteen percent year to date, nasdak full nastack 126 00:06:22,520 --> 00:06:26,520 Speaker 3: up twenty one percent year to date. I'm going to suggest, Nancy, 127 00:06:26,600 --> 00:06:30,240 Speaker 3: that's on the back of a sprightly nominal GDP. 128 00:06:30,839 --> 00:06:33,240 Speaker 2: I see all sorts of opinions our government shutdown. 129 00:06:33,320 --> 00:06:35,680 Speaker 3: I get that, But do you just assume we can 130 00:06:35,720 --> 00:06:41,000 Speaker 3: sustain four percent plus nominal GDP and at least okay 131 00:06:41,080 --> 00:06:41,919 Speaker 3: real GDP. 132 00:06:42,440 --> 00:06:45,600 Speaker 5: Oh I think to be sure, policy is very supportive 133 00:06:45,640 --> 00:06:49,400 Speaker 5: of growth, and our corporate backbone is very very healthy 134 00:06:49,400 --> 00:06:52,800 Speaker 5: from a productivity perspective. So combination of the FED cutting 135 00:06:52,880 --> 00:06:54,919 Speaker 5: rates one hundred and fifty basis points over the past 136 00:06:55,000 --> 00:06:58,799 Speaker 5: over a year now, banks easing lending standards, very productive 137 00:06:58,880 --> 00:07:01,800 Speaker 5: fiscal policy, not government spending, but tax and centers for 138 00:07:01,839 --> 00:07:05,640 Speaker 5: the private sector to invest, tax refunds for the consumer. 139 00:07:05,880 --> 00:07:08,080 Speaker 5: I think four percent is actually probably on the low side, 140 00:07:08,240 --> 00:07:09,200 Speaker 5: could be stronger than that. 141 00:07:09,920 --> 00:07:12,040 Speaker 6: Corporate earnings they seem to be pretty good. I mean 142 00:07:12,080 --> 00:07:14,559 Speaker 6: the third quarter numbers, the low double digits. Second quarter 143 00:07:14,640 --> 00:07:15,240 Speaker 6: was strong, and. 144 00:07:15,840 --> 00:07:18,560 Speaker 2: Now it's off for cliffs. Yes, terrible, exactly. I have 145 00:07:18,600 --> 00:07:21,400 Speaker 2: no idea where we'll be in January exactly. 146 00:07:21,040 --> 00:07:23,440 Speaker 5: No, no, no, what's happened with the corporate profit backdrop. 147 00:07:23,480 --> 00:07:25,800 Speaker 5: It's definitely broadening out, which is what we needed. It 148 00:07:25,840 --> 00:07:28,120 Speaker 5: was led by you know, the mag seven or eight 149 00:07:28,240 --> 00:07:31,080 Speaker 5: or nine or whatever. And now it's into the smaller 150 00:07:31,080 --> 00:07:33,280 Speaker 5: cap space, which is crucial because that's where the jobs 151 00:07:33,320 --> 00:07:37,200 Speaker 5: are created. And so again with that healing. In with 152 00:07:38,080 --> 00:07:41,720 Speaker 5: with that healing in small cap earnings, you are setting 153 00:07:41,800 --> 00:07:43,760 Speaker 5: the stage for a healthier labor market as you go 154 00:07:43,760 --> 00:07:44,360 Speaker 5: into twenty three. 155 00:07:44,360 --> 00:07:47,080 Speaker 3: The way we rolled this morning at the nine o'clock hour, 156 00:07:47,280 --> 00:07:51,000 Speaker 3: Michael Green will be with us. His sub stack on 157 00:07:51,080 --> 00:07:55,720 Speaker 3: the poverty line created a firestorm across the nation. 158 00:07:55,920 --> 00:07:57,120 Speaker 2: Michael Green will join. 159 00:07:57,080 --> 00:08:01,080 Speaker 3: Us for first extended comments on this, and we start 160 00:08:01,120 --> 00:08:05,119 Speaker 3: here with Nancy Lazar of a Piper Sandler as well. 161 00:08:05,440 --> 00:08:08,800 Speaker 3: Michael Green says, a poverty line, you know, it's constructed, 162 00:08:08,800 --> 00:08:11,400 Speaker 3: it's a formula and all that. But there's a lot 163 00:08:11,440 --> 00:08:15,120 Speaker 3: of Americans struggling at a higher income level than the 164 00:08:15,160 --> 00:08:15,840 Speaker 3: poverty line. 165 00:08:15,880 --> 00:08:16,400 Speaker 2: Do you buy it. 166 00:08:19,000 --> 00:08:21,800 Speaker 5: I'm not that school on his analysis. I think that's 167 00:08:21,840 --> 00:08:24,720 Speaker 5: probably a little bit of an exaggeration. I grew up 168 00:08:24,720 --> 00:08:26,560 Speaker 5: in Middle America. The cost of living there is a 169 00:08:26,600 --> 00:08:29,840 Speaker 5: lot lower than it is in the East Coast. 170 00:08:30,400 --> 00:08:33,040 Speaker 2: He based it on cool Paul helped me Caudwell, New Jersey. 171 00:08:33,160 --> 00:08:39,199 Speaker 5: Yeah sure, yeah, yeah, I would agree that the low 172 00:08:39,280 --> 00:08:42,040 Speaker 5: end consumer has been squeezed. I think that's going to 173 00:08:42,120 --> 00:08:44,080 Speaker 5: change as we go into how is it going to 174 00:08:44,160 --> 00:08:46,200 Speaker 5: change that you are going to see a broader and 175 00:08:46,240 --> 00:08:49,679 Speaker 5: broader footprint of industries hiring, making it possible for people 176 00:08:49,720 --> 00:08:51,760 Speaker 5: with many different skills actually to get a job. 177 00:08:51,800 --> 00:08:53,960 Speaker 2: She's too optimistic to be in the show, Paul, do 178 00:08:54,080 --> 00:08:56,880 Speaker 2: something exactly given that back job, Nancy. 179 00:08:57,400 --> 00:08:59,280 Speaker 6: I guess we're going to hear from our fed next 180 00:08:59,280 --> 00:09:02,680 Speaker 6: week a week from today and presumably the market's discounting 181 00:09:02,760 --> 00:09:05,960 Speaker 6: a rate cut. How aggressive does a FED need to 182 00:09:06,000 --> 00:09:07,000 Speaker 6: be in cutting race? 183 00:09:07,040 --> 00:09:07,400 Speaker 4: Do you think? 184 00:09:07,520 --> 00:09:09,720 Speaker 5: I don't think they need to be aggressive. They probably 185 00:09:09,720 --> 00:09:12,199 Speaker 5: will continue to to cut given the sluggishness in the 186 00:09:12,280 --> 00:09:16,280 Speaker 5: labor market. They classically even when the economy picks up again. 187 00:09:16,280 --> 00:09:18,360 Speaker 5: I went back and looked at all cycles. Even when 188 00:09:18,360 --> 00:09:20,880 Speaker 5: the economy picks up, the FED tends to continue to 189 00:09:20,880 --> 00:09:23,000 Speaker 5: cut rates because they are focused on the labor market, 190 00:09:23,200 --> 00:09:26,360 Speaker 5: and the labor market is a lagging is a lagging indicator. 191 00:09:26,480 --> 00:09:29,040 Speaker 5: I'd be careful in cutting too aggressively, because you do. 192 00:09:29,080 --> 00:09:31,120 Speaker 5: They've already cut one hundred and fifty basis points, and 193 00:09:31,200 --> 00:09:32,240 Speaker 5: you have this fiscal sport. 194 00:09:32,440 --> 00:09:36,120 Speaker 3: Years ago it was Hymen Lazarre. Everybody thought Hymen could 195 00:09:36,160 --> 00:09:40,160 Speaker 3: be chairman. Everybody thought Lazarre could be chairman. Let's take 196 00:09:40,200 --> 00:09:44,040 Speaker 3: that perspective. If you look at Nancy Lazar, now. 197 00:09:43,880 --> 00:09:46,640 Speaker 2: Are you threat? Is there a threat to FED independence? 198 00:09:47,840 --> 00:09:48,319 Speaker 4: I don't think so. 199 00:09:48,440 --> 00:09:50,719 Speaker 5: I think the bond vigilani is going to make sure 200 00:09:50,760 --> 00:09:52,600 Speaker 5: of that. We saw the bond chairman. 201 00:09:52,440 --> 00:09:54,080 Speaker 2: Hasse it's going to be told what to do by 202 00:09:54,080 --> 00:09:54,880 Speaker 2: the bond market. 203 00:09:55,120 --> 00:09:58,600 Speaker 5: I think so. I think last year we It's something 204 00:09:58,679 --> 00:10:01,280 Speaker 5: that happened often in the sixties and seventies. It happened 205 00:10:01,360 --> 00:10:03,679 Speaker 5: last fall when the FED cut too aggressively when inflation 206 00:10:03,800 --> 00:10:06,840 Speaker 5: was still too was still too still too sticky. So yes, 207 00:10:06,880 --> 00:10:08,640 Speaker 5: I think the bond market will be that vigilanti. 208 00:10:09,160 --> 00:10:13,599 Speaker 6: So what's the opportunity here for We're talking about a 209 00:10:13,600 --> 00:10:15,800 Speaker 6: lot of this reshoring and the growth of manufacturing in 210 00:10:15,800 --> 00:10:18,640 Speaker 6: the US. Is that going to fundamentally change our economy 211 00:10:19,160 --> 00:10:20,800 Speaker 6: in any way shape for big time? 212 00:10:20,840 --> 00:10:21,760 Speaker 4: I mean, how is it? 213 00:10:21,760 --> 00:10:25,520 Speaker 5: It's again, you need labor force participation to continue to increase, 214 00:10:25,520 --> 00:10:27,520 Speaker 5: and the only way you do that is through offering 215 00:10:27,559 --> 00:10:31,079 Speaker 5: a broader footprint of industries hiring. With this on shoing, 216 00:10:31,200 --> 00:10:33,400 Speaker 5: you also have a huge job multiplier. It's not just 217 00:10:33,520 --> 00:10:35,440 Speaker 5: people complain to me, well, not many people work in 218 00:10:35,440 --> 00:10:37,760 Speaker 5: factories today. It's like I know that I grew up 219 00:10:37,760 --> 00:10:40,360 Speaker 5: in that environment. It's changed dramatically over the decades. At 220 00:10:40,360 --> 00:10:42,480 Speaker 5: the end of the day, though, it's the multiplier supporting 221 00:10:42,520 --> 00:10:47,440 Speaker 5: these these these these factories, smaller businesses, restaurants, grocery stores. 222 00:10:47,600 --> 00:10:51,400 Speaker 3: Right, the industry we're guilty of this, Lisa is the 223 00:10:51,400 --> 00:10:53,800 Speaker 3: only one who's not. We're based on the three zip 224 00:10:53,840 --> 00:10:57,439 Speaker 3: codes in Manhattan. Lisa has a much broader perspective than that. 225 00:10:57,840 --> 00:11:01,280 Speaker 3: Piper will always in forever be the right northwest. It 226 00:11:01,280 --> 00:11:04,400 Speaker 3: will be Minneapolis as well. What are the fancy people 227 00:11:04,440 --> 00:11:08,160 Speaker 3: in New York City and Washington not get about business 228 00:11:08,200 --> 00:11:10,800 Speaker 3: formation north of the Mayo Clinic. 229 00:11:11,800 --> 00:11:12,720 Speaker 4: That you do need. 230 00:11:13,640 --> 00:11:15,640 Speaker 5: I'm being very redundant here, and I and I and 231 00:11:15,679 --> 00:11:16,400 Speaker 5: I apologize. 232 00:11:16,559 --> 00:11:17,880 Speaker 2: We like that it's so retired. 233 00:11:18,960 --> 00:11:21,280 Speaker 5: It's it's it's that you you do need a diverse 234 00:11:21,320 --> 00:11:23,720 Speaker 5: set of jobs. You don't need to go to college. 235 00:11:23,760 --> 00:11:27,160 Speaker 5: I was tickled Pallunteer announced that they are hired a 236 00:11:27,200 --> 00:11:30,360 Speaker 5: bunch of high school kids to to to to you know, 237 00:11:30,440 --> 00:11:33,000 Speaker 5: check out the work, the work of the work ethic 238 00:11:33,040 --> 00:11:34,520 Speaker 5: and do you want to go to college or do 239 00:11:34,559 --> 00:11:35,720 Speaker 5: you want to stay dose? 240 00:11:35,840 --> 00:11:38,720 Speaker 2: AI help the kids that go. I just don't want 241 00:11:38,720 --> 00:11:42,880 Speaker 2: to take Shakespeare in one O two. AI help those kids. 242 00:11:42,960 --> 00:11:46,520 Speaker 5: Technological innovation has always made education better, from you know, 243 00:11:47,000 --> 00:11:49,840 Speaker 5: using my Bomar brain to eventually going to to Excel, 244 00:11:49,960 --> 00:11:54,000 Speaker 5: et cetera. So absolutely, technological innovation is great for kids 245 00:11:54,040 --> 00:11:55,640 Speaker 5: as long as it's properly used. 246 00:11:55,880 --> 00:11:56,120 Speaker 2: Yep. 247 00:11:56,200 --> 00:12:00,080 Speaker 6: So going forward here, I'm thinking about kind of where 248 00:12:00,120 --> 00:12:02,720 Speaker 6: we need to go here. I mean, it seems like 249 00:12:03,679 --> 00:12:08,280 Speaker 6: this economy is in pretty good shape. Is that your consensus? 250 00:12:08,360 --> 00:12:10,680 Speaker 6: I mean, I know there's some crosswinds and headwinds out there, 251 00:12:10,720 --> 00:12:12,800 Speaker 6: but I mean I'm seeing growth out there. I'm seeing 252 00:12:12,840 --> 00:12:16,720 Speaker 6: and instrates coming down. I'm seeing corporate profits pretty darn steady. 253 00:12:16,760 --> 00:12:18,520 Speaker 6: It seems like it's a pretty solid position. 254 00:12:18,679 --> 00:12:20,480 Speaker 5: I've been listening to people talk about the dollar and 255 00:12:20,480 --> 00:12:22,000 Speaker 5: how the dollar is going to go down, and I 256 00:12:22,160 --> 00:12:23,960 Speaker 5: just tend to disagree with that. I mean, I think 257 00:12:24,040 --> 00:12:26,839 Speaker 5: your growth will be okay in twenty twenty in twenty 258 00:12:26,840 --> 00:12:29,000 Speaker 5: twenty six because of the stimulus that they've put in place, 259 00:12:29,000 --> 00:12:31,720 Speaker 5: both monetary and physical. But if we can get to 260 00:12:31,760 --> 00:12:33,360 Speaker 5: one and a half percent, that's good news. 261 00:12:33,480 --> 00:12:35,320 Speaker 2: We got you here. We've got a breaking headline. 262 00:12:35,360 --> 00:12:39,400 Speaker 3: This was made for Nancy Lazar Automatic data Processing. 263 00:12:39,600 --> 00:12:43,400 Speaker 2: Nobody knows that's like Minnesota May mining and manufacturing. Thanks right, 264 00:12:43,760 --> 00:12:45,760 Speaker 2: Automatic Data Processing. US. 265 00:12:45,880 --> 00:12:50,400 Speaker 3: November private employment falls thirty two thousand. 266 00:12:50,840 --> 00:12:53,440 Speaker 2: The estimate was plus ten thousand. 267 00:12:54,240 --> 00:12:57,240 Speaker 3: What happens emotionally when we go over four point five 268 00:12:57,280 --> 00:12:58,600 Speaker 3: percent unemployment rate? 269 00:12:58,840 --> 00:13:00,640 Speaker 2: Is that critical? Or do I need to get to 270 00:13:00,679 --> 00:13:01,520 Speaker 2: five point zero? 271 00:13:01,920 --> 00:13:04,400 Speaker 5: I think five percent is worth. I think I give 272 00:13:04,440 --> 00:13:06,280 Speaker 5: you earlier that you know something with a fore handle 273 00:13:06,360 --> 00:13:08,800 Speaker 5: is still pretty on the tame side. But we do 274 00:13:08,840 --> 00:13:10,680 Speaker 5: think you could move above above five as you go 275 00:13:10,720 --> 00:13:14,880 Speaker 5: into early twenty early twenty twenty six. But again that 276 00:13:15,600 --> 00:13:17,440 Speaker 5: is a lagging indicator. It's not going to change our 277 00:13:17,440 --> 00:13:19,840 Speaker 5: outlook where we think growth is going to reaccelerate. We're 278 00:13:19,880 --> 00:13:22,200 Speaker 5: two percent GDP growth this year with all the headmans 279 00:13:22,240 --> 00:13:25,160 Speaker 5: that we had, the shutdown the tariffs. Next year it's 280 00:13:25,200 --> 00:13:28,200 Speaker 5: going to be stronger than that given all the stimulus. 281 00:13:27,960 --> 00:13:30,480 Speaker 3: Is I said in my intro, like I don't remember 282 00:13:30,559 --> 00:13:33,040 Speaker 3: who was on the show two hours ago. Lisa has 283 00:13:33,080 --> 00:13:35,920 Speaker 3: to remind me. I certainly don't remember who was on 284 00:13:35,960 --> 00:13:39,719 Speaker 3: the show three days ago. I remember Crystal Clear with 285 00:13:39,880 --> 00:13:43,000 Speaker 3: the Sun coming through in July when Nancy Lazaar talked 286 00:13:43,000 --> 00:13:46,120 Speaker 3: to us about the American labor Absolute true, truly Nancy 287 00:13:46,200 --> 00:13:49,200 Speaker 3: one of the great insights of Bloomberg Surveillance this year. 288 00:13:49,520 --> 00:13:51,240 Speaker 2: She is a Piper Sandler. 289 00:13:51,559 --> 00:13:55,760 Speaker 3: Stay with us more from Bloomberg Surveillance coming up after this. 290 00:14:03,000 --> 00:14:06,600 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us Live 291 00:14:06,640 --> 00:14:09,840 Speaker 1: weekday afternoons from seven to ten Am Eastern, Listen on 292 00:14:09,880 --> 00:14:13,560 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 293 00:14:13,720 --> 00:14:15,200 Speaker 1: watch us live on YouTube. 294 00:14:15,600 --> 00:14:21,280 Speaker 2: Joining us now, Michael Green, pinata a c management. How 295 00:14:21,320 --> 00:14:22,000 Speaker 2: the hell are you? 296 00:14:22,960 --> 00:14:25,120 Speaker 7: I definitely have taken a few waks with the baseball 297 00:14:25,160 --> 00:14:25,440 Speaker 7: at this. 298 00:14:25,400 --> 00:14:26,840 Speaker 2: Point, I'm going to defend you. 299 00:14:26,920 --> 00:14:29,640 Speaker 3: Okay, I get it. There's people Michael Green's an idiot. 300 00:14:30,080 --> 00:14:32,640 Speaker 3: How dare you think one hundred and forty thousand is 301 00:14:32,680 --> 00:14:37,600 Speaker 3: a poverty line? You say, up front, it's where you live. 302 00:14:38,240 --> 00:14:40,440 Speaker 3: And you go and Paul, you know this better than me. 303 00:14:41,000 --> 00:14:45,520 Speaker 3: You go to Caldwell, New Jersey, near Cedar Grove, just 304 00:14:45,560 --> 00:14:49,120 Speaker 3: south of Little Falls Township and say, I'm sorry, the 305 00:14:49,120 --> 00:14:52,240 Speaker 3: poverty line in Cardwell, New Jersey is not the way 306 00:14:52,240 --> 00:14:54,280 Speaker 3: it is eighty miles south of Louisville. 307 00:14:54,320 --> 00:14:57,560 Speaker 8: Discuss Yeah, this really is the underlying story. First, there 308 00:14:57,560 --> 00:15:00,200 Speaker 8: are multiple poverty lines right across the country. In a 309 00:15:00,280 --> 00:15:02,040 Speaker 8: high cost region, you're going to have a very different 310 00:15:02,080 --> 00:15:04,000 Speaker 8: experience than if you live in a low cost region. 311 00:15:04,800 --> 00:15:07,840 Speaker 8: But the overall point was when you start thinking about 312 00:15:07,880 --> 00:15:10,240 Speaker 8: what we define as the poverty line currently at about 313 00:15:10,240 --> 00:15:13,200 Speaker 8: thirty one two hundred dollars for a family for two 314 00:15:13,240 --> 00:15:16,840 Speaker 8: earners two children. That doesn't come anywhere close to meeting 315 00:15:16,880 --> 00:15:18,840 Speaker 8: the needs of a family that is living in a 316 00:15:18,840 --> 00:15:21,440 Speaker 8: place like called Well, New Jersey, where the calculation works 317 00:15:21,440 --> 00:15:23,320 Speaker 8: out to about one hundred and thirty six thousand, five 318 00:15:23,360 --> 00:15:25,640 Speaker 8: hundred dollars needs to be made before you can even 319 00:15:25,680 --> 00:15:29,400 Speaker 8: start saving a dime. Wow, that's an extraordinary feeling of 320 00:15:29,480 --> 00:15:32,400 Speaker 8: percarity when we talk about the dynamic that most American 321 00:15:32,400 --> 00:15:36,200 Speaker 8: households can't afford something to break, can't afford an emergency expense, 322 00:15:36,240 --> 00:15:36,680 Speaker 8: et cetera. 323 00:15:36,800 --> 00:15:37,720 Speaker 7: That's why. 324 00:15:38,320 --> 00:15:42,080 Speaker 6: So who sets the poverty line? Again, it's around thirty 325 00:15:42,120 --> 00:15:46,160 Speaker 6: two thousand nationally in the US. Who sets up poverty line? 326 00:15:46,200 --> 00:15:51,560 Speaker 6: And how does that impact policies and support group levels 327 00:15:51,560 --> 00:15:52,080 Speaker 6: and policies? 328 00:15:52,200 --> 00:15:53,680 Speaker 8: Yeah, I think this is one of the really critical 329 00:15:53,680 --> 00:15:55,720 Speaker 8: things that keeps coming out. Right, many people will point 330 00:15:55,720 --> 00:15:57,880 Speaker 8: out that poverty lines are arbitrary. Right, we can define 331 00:15:57,880 --> 00:16:00,320 Speaker 8: twenty percent of the population as or its, et cetera. 332 00:16:00,440 --> 00:16:03,440 Speaker 8: It really doesn't matter where it is unless it affects policy. 333 00:16:03,840 --> 00:16:06,000 Speaker 8: And that number, which is maintained by the Department of 334 00:16:06,000 --> 00:16:08,920 Speaker 8: Health and Human Services, is updated by the CPI from 335 00:16:08,960 --> 00:16:11,760 Speaker 8: the BLS is used to define the point at which 336 00:16:11,760 --> 00:16:15,760 Speaker 8: we begin withdrawing benefits for many types of activities, things 337 00:16:15,920 --> 00:16:18,119 Speaker 8: like housing, things like healthcare, things. 338 00:16:17,880 --> 00:16:19,200 Speaker 7: Like food support. 339 00:16:19,600 --> 00:16:22,680 Speaker 8: That creates a value that I call the value of death, 340 00:16:22,680 --> 00:16:26,000 Speaker 8: but more accurately is described as the benefit cliff. Once 341 00:16:26,040 --> 00:16:29,440 Speaker 8: you start passing those thresholds of earnings, the government starts 342 00:16:29,480 --> 00:16:31,960 Speaker 8: taking away the benefits and it actually leaves you in 343 00:16:32,000 --> 00:16:35,120 Speaker 8: a position where between about forty thousand and one hundred 344 00:16:35,120 --> 00:16:38,920 Speaker 8: thousand dollars, largely on a nationwide basis, you find yourself 345 00:16:39,000 --> 00:16:41,760 Speaker 8: with marginal tax rates that can exceed one hundred percent 346 00:16:41,800 --> 00:16:42,880 Speaker 8: in some situations. 347 00:16:43,760 --> 00:16:47,040 Speaker 6: So what are some of the areas where maybe the 348 00:16:47,080 --> 00:16:51,440 Speaker 6: government numbers aren't correctly calculating the true cost of what 349 00:16:51,480 --> 00:16:53,720 Speaker 6: it means to live in? It is it housing? It 350 00:16:53,760 --> 00:16:55,000 Speaker 6: is it childcare? 351 00:16:55,080 --> 00:16:57,960 Speaker 8: It's a healthcare No, It's the crazy part is it's 352 00:16:58,000 --> 00:16:58,760 Speaker 8: all of those things. 353 00:16:58,840 --> 00:16:59,000 Speaker 7: Right. 354 00:16:59,040 --> 00:17:02,360 Speaker 8: So, the simple reality is that the CPI is devised 355 00:17:02,360 --> 00:17:04,159 Speaker 8: by the BLS. You are not going to find me 356 00:17:04,200 --> 00:17:06,920 Speaker 8: in here arguing conspiracy in an attempt to suppress it, 357 00:17:06,960 --> 00:17:10,199 Speaker 8: et cetera. But it's used to define certain types of 358 00:17:10,320 --> 00:17:13,600 Speaker 8: price changes. The CPI that we quote for policy purposes 359 00:17:13,640 --> 00:17:16,480 Speaker 8: is the CPI Urban wage journers. This is what you 360 00:17:16,520 --> 00:17:19,360 Speaker 8: would expect to experience if you are buying a representative 361 00:17:19,400 --> 00:17:22,040 Speaker 8: basket across all of the workers in the United States, 362 00:17:22,160 --> 00:17:24,719 Speaker 8: high mm, low income, et cetera. People who are at 363 00:17:24,720 --> 00:17:27,719 Speaker 8: the poverty line or near the poverty line don't have 364 00:17:27,800 --> 00:17:30,160 Speaker 8: the same choices that you and I have when they 365 00:17:30,160 --> 00:17:32,720 Speaker 8: make purchases. They don't get to decide, hey, I'm going 366 00:17:32,800 --> 00:17:35,840 Speaker 8: to wait until tires go on sale. Nor are they 367 00:17:35,880 --> 00:17:38,399 Speaker 8: benefiting from gosh, the air conditioner that I had thirty 368 00:17:38,480 --> 00:17:41,800 Speaker 8: years ago suddenly costs a lot less or works much 369 00:17:41,840 --> 00:17:42,640 Speaker 8: more efficiently. 370 00:17:43,080 --> 00:17:44,240 Speaker 7: In most situations, they. 371 00:17:44,119 --> 00:17:46,800 Speaker 8: Aren't even evaluating do I buy an air conditioner? And 372 00:17:46,840 --> 00:17:49,920 Speaker 8: so a really simple example of this is in housing, 373 00:17:50,440 --> 00:17:53,960 Speaker 8: we incorporate features like air conditioning through a quality metric, 374 00:17:54,000 --> 00:17:57,159 Speaker 8: a hedonic adjustment that basically says, look, I understand that 375 00:17:57,200 --> 00:18:00,240 Speaker 8: the apartment went from one thousand dollars to eleven hundred dollars, 376 00:18:00,640 --> 00:18:03,680 Speaker 8: but because they installed air conditioning for you, right, it's 377 00:18:03,720 --> 00:18:06,520 Speaker 8: really only one thousand dollars you actually had under. 378 00:18:06,320 --> 00:18:08,840 Speaker 3: Granite slabs in the kitchen as well. Part one, My 379 00:18:08,960 --> 00:18:12,280 Speaker 3: life is a lie. How I've broken benchmark quietly broke 380 00:18:12,320 --> 00:18:16,480 Speaker 3: America a sub stack which lit on fire across thinking 381 00:18:16,520 --> 00:18:19,919 Speaker 3: America Michael Green where this was simplify asset. We'll get 382 00:18:19,960 --> 00:18:21,800 Speaker 3: to his view on the view four to twenty six, 383 00:18:21,840 --> 00:18:25,680 Speaker 3: but this is too important discussion. My basic take off 384 00:18:25,760 --> 00:18:29,159 Speaker 3: your good work, the critics of your work, the supporters 385 00:18:29,160 --> 00:18:33,520 Speaker 3: of your work, is the poor get to a point, 386 00:18:33,560 --> 00:18:37,080 Speaker 3: as you stated moments ago, where things are taken away 387 00:18:37,119 --> 00:18:39,520 Speaker 3: from them and they have almost a discentive to work. 388 00:18:40,000 --> 00:18:43,000 Speaker 3: We talked to Hugh von steinis this sounds like United Kingdom? 389 00:18:43,119 --> 00:18:46,240 Speaker 3: One oh one? What does a mayor mam Dami do? 390 00:18:46,800 --> 00:18:51,080 Speaker 3: What does the next president, Republican or Democrat do to 391 00:18:51,119 --> 00:18:55,520 Speaker 3: incentifize people besides taking government programs away? 392 00:18:56,040 --> 00:18:59,360 Speaker 8: Well, in the most most extreme version of this right, 393 00:18:59,480 --> 00:19:01,960 Speaker 8: they are actually solving for what people are saying, which 394 00:19:02,000 --> 00:19:05,040 Speaker 8: is I'm not being listened to. So when Domi addresses 395 00:19:05,040 --> 00:19:08,720 Speaker 8: affordability and says people are struggling, they recognize that he's 396 00:19:08,760 --> 00:19:12,199 Speaker 8: telling the truth. His solutions would not be my solutions. 397 00:19:12,240 --> 00:19:15,280 Speaker 8: And that's part of my frustration with the rights perspective, 398 00:19:15,320 --> 00:19:18,440 Speaker 8: or the conservative component of this. If we're putting people 399 00:19:18,440 --> 00:19:21,200 Speaker 8: in a position which they're forced to turn to somebody 400 00:19:21,200 --> 00:19:24,720 Speaker 8: who is listening to them and offering bad solutions. We 401 00:19:24,800 --> 00:19:28,439 Speaker 8: can sit there, you know, and be uptight and basically say, well, 402 00:19:28,480 --> 00:19:31,040 Speaker 8: they're choosing socialism, we'll show them right, they're going to 403 00:19:31,040 --> 00:19:33,919 Speaker 8: have the worst possible outcome. Or we can recognize that 404 00:19:33,920 --> 00:19:36,320 Speaker 8: we're facing conditions that look an awful lot like the 405 00:19:36,359 --> 00:19:39,080 Speaker 8: French Revolution, in which we're basically saying, well, they can 406 00:19:39,119 --> 00:19:42,199 Speaker 8: always eat cake. Right, that's absurd, That's not what we 407 00:19:42,240 --> 00:19:44,680 Speaker 8: want to do. We need to actually engage the national 408 00:19:44,720 --> 00:19:47,960 Speaker 8: discussion before we hit rock bottom so we can make 409 00:19:48,040 --> 00:19:52,280 Speaker 8: the relatively easy and painless choices to reform the system, 410 00:19:52,600 --> 00:19:55,639 Speaker 8: improve the outcomes, improve the incentives, and I'm sorry to 411 00:19:55,760 --> 00:19:58,600 Speaker 8: reverse those, improve the incentives, and then improve the outcomes 412 00:19:59,000 --> 00:20:01,959 Speaker 8: so that people are able to make the choices that 413 00:20:02,040 --> 00:20:04,080 Speaker 8: allow them to pursue happiness. 414 00:20:05,680 --> 00:20:08,000 Speaker 6: Where I mean, like the poverty I'm learning so much 415 00:20:08,000 --> 00:20:09,919 Speaker 6: about this and it didn't even think about it quite frankly, 416 00:20:09,920 --> 00:20:11,919 Speaker 6: but the poverty line was created by the Social Security 417 00:20:11,920 --> 00:20:15,479 Speaker 6: Administration in nineteen sixty three, adopted in the next year 418 00:20:15,520 --> 00:20:17,840 Speaker 6: by the White House, and the person who created it 419 00:20:18,040 --> 00:20:23,080 Speaker 6: set the threshold at three times the minimum adequate food budget. Yeah, 420 00:20:24,119 --> 00:20:27,520 Speaker 6: that makes sense, it seems simple, but it kind of 421 00:20:27,520 --> 00:20:30,760 Speaker 6: makes sense. But the world's changed since then, and so 422 00:20:30,840 --> 00:20:33,280 Speaker 6: that is not a good predictor anymore. 423 00:20:33,359 --> 00:20:34,639 Speaker 7: Yeah, it's radically changed. 424 00:20:34,640 --> 00:20:36,919 Speaker 8: So, I mean the reason that the three times was 425 00:20:37,000 --> 00:20:39,280 Speaker 8: chosen was not because of the thirty two percent of 426 00:20:39,320 --> 00:20:41,640 Speaker 8: the thirty three percent, but because that was a way 427 00:20:41,680 --> 00:20:44,880 Speaker 8: of scaling up and capturing the entire budget. Okay, Right, 428 00:20:44,960 --> 00:20:46,800 Speaker 8: So they were basically saying, look, if you're spending a 429 00:20:46,800 --> 00:20:49,000 Speaker 8: third on food, you're likely spending a third on housing, 430 00:20:49,000 --> 00:20:51,480 Speaker 8: and you're likely spending a third on the other necessities 431 00:20:51,480 --> 00:20:57,240 Speaker 8: of life telephone, transportation, et cetera. Unfortunately, what has happened 432 00:20:57,280 --> 00:21:00,359 Speaker 8: is we froze that, and as I described before, sei 433 00:21:00,600 --> 00:21:05,280 Speaker 8: doesn't meaningfully capture the underlying cash increase that's actually happening. 434 00:21:05,840 --> 00:21:07,919 Speaker 8: So really, what that line is moved to the point 435 00:21:08,080 --> 00:21:11,320 Speaker 8: of which it is just basically describing starvation, right, It's 436 00:21:11,320 --> 00:21:13,240 Speaker 8: not doesn't actually mean anything anymore. 437 00:21:13,600 --> 00:21:14,160 Speaker 2: Michael Green. 438 00:21:14,440 --> 00:21:16,199 Speaker 3: With this year, we do have breaking news, and the 439 00:21:16,240 --> 00:21:19,400 Speaker 3: markets have moved on it. This is a small startup 440 00:21:19,440 --> 00:21:26,720 Speaker 3: company named Microsoft. Microsoft lowers AI software sales quotas stock 441 00:21:26,760 --> 00:21:29,480 Speaker 3: down two percent, the market was up, futures up twenty 442 00:21:30,040 --> 00:21:36,560 Speaker 3: and markets were up twenty and SMP down minus nineteen 443 00:21:36,680 --> 00:21:37,120 Speaker 3: as well. 444 00:21:37,160 --> 00:21:40,560 Speaker 2: That sources the information. We thank them for that. Microsoft 445 00:21:40,600 --> 00:21:44,119 Speaker 2: lowers AI software sales quotas and it moves the market. 446 00:21:44,480 --> 00:21:46,360 Speaker 3: Let's say a little bit more on this micro green 447 00:21:46,400 --> 00:21:48,680 Speaker 3: and then we've got to look to simplify usset management. 448 00:21:48,680 --> 00:21:53,240 Speaker 3: In the View for twenty twenty six, do you parse 449 00:21:53,440 --> 00:21:59,040 Speaker 3: a distinction between Republican and Democrats solutions to half of 450 00:21:59,080 --> 00:22:01,080 Speaker 3: America flat on their back? 451 00:22:02,920 --> 00:22:03,720 Speaker 7: You know the challenges. 452 00:22:03,720 --> 00:22:05,520 Speaker 8: I don't think either party is actually coming up with 453 00:22:05,560 --> 00:22:08,040 Speaker 8: good solutions. Instead, they both appear to be in pursuit 454 00:22:08,080 --> 00:22:12,680 Speaker 8: of power to basically prosecute their individual agendas. I would 455 00:22:12,760 --> 00:22:15,040 Speaker 8: really love to say that there is a meaningful distinguishing 456 00:22:15,119 --> 00:22:18,399 Speaker 8: characteristic largely on the right as we should cut benefits further, 457 00:22:19,000 --> 00:22:21,840 Speaker 8: and on the left as we should expand them willingly. Right, 458 00:22:21,920 --> 00:22:24,000 Speaker 8: that's part of the reason for the vitriol is is 459 00:22:24,040 --> 00:22:27,280 Speaker 8: that both sides effectively see this is either stealing ammunition 460 00:22:27,359 --> 00:22:30,160 Speaker 8: from a focus on the poor or on the right 461 00:22:30,440 --> 00:22:33,280 Speaker 8: basically creating the ammunition that could be used to meaningfully 462 00:22:33,280 --> 00:22:35,800 Speaker 8: expand benefits. In a culture of dependency, we. 463 00:22:35,840 --> 00:22:36,560 Speaker 2: Go to surveillance. 464 00:22:36,640 --> 00:22:40,760 Speaker 3: Childcare correspondent Lisa Matteo the last echo I heard through 465 00:22:40,800 --> 00:22:44,120 Speaker 3: the kitchen was empty the dishwasher as well, Lisa. The 466 00:22:44,160 --> 00:22:47,480 Speaker 3: heart of this within the list of Michael Green, within 467 00:22:47,560 --> 00:22:50,400 Speaker 3: his sub stack, what I hear from people, I don't 468 00:22:50,440 --> 00:22:53,840 Speaker 3: care what they're making childcare out of COVID. 469 00:22:54,440 --> 00:22:55,400 Speaker 2: There's no other. 470 00:22:55,280 --> 00:22:58,919 Speaker 9: Issue, Oh definitely. I mean a lot of people, I know, 471 00:23:00,480 --> 00:23:04,480 Speaker 9: because because they can't afford, they think it's better for 472 00:23:04,520 --> 00:23:06,480 Speaker 9: them to be able to just stay home and take 473 00:23:06,520 --> 00:23:08,399 Speaker 9: care of the kids and that. 474 00:23:09,840 --> 00:23:10,480 Speaker 2: And I'm surprised. 475 00:23:10,760 --> 00:23:14,000 Speaker 6: I'm surprised of all the benefit packages out there that 476 00:23:14,160 --> 00:23:18,520 Speaker 6: companies Corporate America offer their employees, whether it's healthcare or 477 00:23:18,680 --> 00:23:23,440 Speaker 6: wellness or all this other there isn't a childcare offering. 478 00:23:23,600 --> 00:23:28,000 Speaker 6: I'm just you know, I don't see that talked about enough. Yes, well, 479 00:23:28,040 --> 00:23:30,280 Speaker 6: Matt Miller came back from Germany to come back here 480 00:23:30,320 --> 00:23:32,560 Speaker 6: to Bloomberg and New York. That was the first thing 481 00:23:32,560 --> 00:23:33,160 Speaker 6: that jumped out. 482 00:23:33,359 --> 00:23:36,400 Speaker 3: Now, the first thing did was by bitcoin five thousand 483 00:23:36,520 --> 00:23:39,680 Speaker 3: dollars lost his tope. Michael Green with us here and 484 00:23:39,840 --> 00:23:41,960 Speaker 3: we're gonna move on. But are you going to write 485 00:23:41,960 --> 00:23:45,159 Speaker 3: a sequel to this substance? I mean, we're publishing today. 486 00:23:45,240 --> 00:23:47,920 Speaker 8: Can we make it enough the movie, right, I'm trying 487 00:23:47,920 --> 00:23:50,680 Speaker 8: to write this as a weekly series. The third part, 488 00:23:50,760 --> 00:23:53,600 Speaker 8: with some superposed solutions, comes out this week, and at 489 00:23:53,640 --> 00:23:56,240 Speaker 8: that point I'm sure I will kiss everybody off to 490 00:23:56,320 --> 00:23:58,720 Speaker 8: the except my name again, Michael Green. 491 00:23:58,800 --> 00:24:00,560 Speaker 2: My life is a live part. No one there. It 492 00:24:00,640 --> 00:24:01,359 Speaker 2: is a sub sketch. 493 00:24:01,520 --> 00:24:04,399 Speaker 3: It's only eight hundred dollars a year for I'm kidding, 494 00:24:04,560 --> 00:24:09,320 Speaker 3: it's extremely reasonable accessibilities. Some of the best minds out there. 495 00:24:09,320 --> 00:24:13,600 Speaker 3: Paul Krugman's out there, Adam Toos, Michael Green is well, 496 00:24:13,760 --> 00:24:17,200 Speaker 3: what is the simplify asset view to twenty twenty six. 497 00:24:18,119 --> 00:24:21,240 Speaker 8: Look, we are always somewhat cautious. Most of our portfolio 498 00:24:21,280 --> 00:24:23,920 Speaker 8: is focused around fixed income. We recognize that the growing 499 00:24:24,000 --> 00:24:26,560 Speaker 8: need for most households is income and that tends to 500 00:24:26,640 --> 00:24:31,520 Speaker 8: represent the focus in our portfolio. I'm very concerned about 501 00:24:31,560 --> 00:24:34,359 Speaker 8: the rising risks in the credit space. In particular, you 502 00:24:34,440 --> 00:24:39,080 Speaker 8: highlighted a downgrade in Microsoft's AI expenditures. An incredible amount 503 00:24:39,240 --> 00:24:41,760 Speaker 8: of capital investment is being driven off of the AI 504 00:24:41,840 --> 00:24:44,960 Speaker 8: framework that's bleeding into the credit markets. We're seeing this 505 00:24:45,040 --> 00:24:48,480 Speaker 8: with things like the deteriorating loan credit for companies like 506 00:24:48,520 --> 00:24:52,720 Speaker 8: Blue Owl, et cetera. You know I'm concerned, and I've 507 00:24:52,720 --> 00:24:55,240 Speaker 8: written about this. Unfortunately, in a world that's dominated by 508 00:24:55,240 --> 00:24:58,320 Speaker 8: passive investing, the market is largely responding to flows that 509 00:24:58,359 --> 00:25:00,840 Speaker 8: are coming in from people who are employees. That means 510 00:25:00,880 --> 00:25:04,080 Speaker 8: that the market is increasingly associated with a lagging indicator. 511 00:25:04,760 --> 00:25:06,920 Speaker 8: And if employment continues to weaken, as we saw with 512 00:25:07,000 --> 00:25:09,800 Speaker 8: today's ADP, I would expect that ultimately begins to put 513 00:25:09,800 --> 00:25:11,880 Speaker 8: pressure on the market. 514 00:25:12,400 --> 00:25:17,720 Speaker 6: And the FED cutting rates. How impactful is that? Do 515 00:25:17,760 --> 00:25:18,040 Speaker 6: you think? 516 00:25:18,359 --> 00:25:18,479 Speaker 3: Well? 517 00:25:18,520 --> 00:25:20,800 Speaker 8: I think it can actually be somewhat impactful. And the 518 00:25:20,840 --> 00:25:23,040 Speaker 8: reason why, though, is a bit confusing. If you think 519 00:25:23,040 --> 00:25:27,760 Speaker 8: about portfolios like target date funds or systematically rebalancing portfolios, 520 00:25:28,280 --> 00:25:30,640 Speaker 8: if the FED cuts rates, that causes bonds to rise 521 00:25:30,680 --> 00:25:32,760 Speaker 8: in price. The way we're supposed to think about it 522 00:25:32,840 --> 00:25:35,240 Speaker 8: is the lower interest rate is run on a discounted 523 00:25:35,280 --> 00:25:38,359 Speaker 8: cash flow analysis and gives a marginally higher value for equities. 524 00:25:38,720 --> 00:25:41,240 Speaker 8: But if I have a systematically rebalanced portfolio and my 525 00:25:41,280 --> 00:25:43,840 Speaker 8: fifty percent weight in bonds goes up two percent, well, 526 00:25:43,880 --> 00:25:46,520 Speaker 8: now I'm underweight equities and I have to buy equities 527 00:25:46,880 --> 00:25:49,879 Speaker 8: sell some bonds. I think that defines the behavior that 528 00:25:49,920 --> 00:25:53,320 Speaker 8: we've seen far more than anyone doing fundamental analysis at 529 00:25:53,320 --> 00:25:53,640 Speaker 8: this point. 530 00:25:53,840 --> 00:25:55,399 Speaker 2: That was beautifully described. 531 00:25:55,760 --> 00:26:02,000 Speaker 3: Summarize again this the bond market, folks, the marginal equity 532 00:26:02,119 --> 00:26:03,960 Speaker 3: purchasers sale. 533 00:26:04,760 --> 00:26:06,159 Speaker 7: And the reverse. 534 00:26:06,240 --> 00:26:08,760 Speaker 8: Yeah, that's the three by five, right, The two assets 535 00:26:08,880 --> 00:26:13,000 Speaker 8: in a systematically rebalanced portfolio are tied by their price behavior. 536 00:26:14,040 --> 00:26:18,600 Speaker 2: I think I get that, Yeah, Michael Green one on one, Yeah, exactly. 537 00:26:18,960 --> 00:26:21,280 Speaker 3: How are the hedge funds doing. I mean, everybody's trying 538 00:26:21,280 --> 00:26:24,040 Speaker 3: to bet the market. Everybody's trying to arbitrage and get 539 00:26:24,080 --> 00:26:27,600 Speaker 3: an edge. Did Financial Wall Street get an edge this year? 540 00:26:28,480 --> 00:26:28,640 Speaker 7: Well? 541 00:26:28,680 --> 00:26:30,679 Speaker 8: I think it depends on how you define it, right. 542 00:26:30,720 --> 00:26:33,840 Speaker 8: So many hedge funds are doing extraordinarily well, particularly those 543 00:26:33,880 --> 00:26:36,560 Speaker 8: that are focused in areas that are components of arbitrage. 544 00:26:36,560 --> 00:26:38,920 Speaker 8: We've seen an incredible growth of things like the treasury 545 00:26:38,960 --> 00:26:42,000 Speaker 8: basis trade, which is very very similar in its underlying 546 00:26:42,040 --> 00:26:45,240 Speaker 8: construction to equity index arbitrage, where you're speculating on what's 547 00:26:45,280 --> 00:26:47,360 Speaker 8: going to be in the index, what's not in the index, 548 00:26:47,359 --> 00:26:50,360 Speaker 8: et cetera. Those have been very fruitful areas for investment. 549 00:26:50,400 --> 00:26:52,080 Speaker 8: I think the macro calls have been a lot harder 550 00:26:52,119 --> 00:26:55,080 Speaker 8: this year, right, People have struggled with the direction of 551 00:26:55,119 --> 00:26:57,320 Speaker 8: interest rates. At the start of the year, we were 552 00:26:57,320 --> 00:27:00,000 Speaker 8: losing control. I was skeptical of that. It ended up 553 00:27:00,040 --> 00:27:02,880 Speaker 8: being right. But the simple reality is we've had lots 554 00:27:02,920 --> 00:27:05,880 Speaker 8: of movement in both directions with no real clear outcome yet. 555 00:27:06,000 --> 00:27:08,000 Speaker 3: I've got to get your substant going. Are you gonna 556 00:27:08,000 --> 00:27:09,520 Speaker 3: write on bitcoin? 557 00:27:09,960 --> 00:27:12,879 Speaker 8: I have written on bitcoin. I actually want to emphasize 558 00:27:12,920 --> 00:27:15,560 Speaker 8: the substack is both cheap. It is subsidized for those 559 00:27:15,560 --> 00:27:18,480 Speaker 8: who buy Simplify products, and candidly, if you call me, 560 00:27:18,520 --> 00:27:20,480 Speaker 8: if you send me a message over Subsack or Twitter 561 00:27:20,520 --> 00:27:22,320 Speaker 8: and say I simply can't afford it, I'm more than 562 00:27:22,320 --> 00:27:26,560 Speaker 8: happy to grant you. 563 00:27:23,640 --> 00:27:27,840 Speaker 7: You are fully subscribed. 564 00:27:28,119 --> 00:27:32,360 Speaker 2: You think that's funny over there, Miss Potato, that's good stuff. 565 00:27:32,800 --> 00:27:35,440 Speaker 8: But you know that ultimately puts us into a situation 566 00:27:35,560 --> 00:27:37,880 Speaker 8: where there's lots of stuff that's out there on the substack. 567 00:27:37,920 --> 00:27:40,040 Speaker 8: I encourage people to read it, and I also encourage 568 00:27:40,040 --> 00:27:42,200 Speaker 8: you to spend find better ways to spend your time. 569 00:27:42,840 --> 00:27:46,040 Speaker 3: I'm thinking about you know who did he upset the most? 570 00:27:46,560 --> 00:27:51,280 Speaker 2: Bernie Sanders or I don't know, you could go either way. 571 00:27:51,440 --> 00:27:53,120 Speaker 7: If I got them both mad, then I probably. 572 00:27:53,440 --> 00:27:55,080 Speaker 6: Then you're do a new job, right, You changed the. 573 00:27:55,119 --> 00:28:00,080 Speaker 3: Debate, cover The Washington Post Michael Green's Simplify Asset Management. 574 00:28:00,000 --> 00:28:00,640 Speaker 2: To stay with us. 575 00:28:00,880 --> 00:28:11,160 Speaker 3: More from Bloomberg Surveillance coming up after this. 576 00:28:11,160 --> 00:28:15,080 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 577 00:28:15,119 --> 00:28:18,520 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 578 00:28:18,560 --> 00:28:21,520 Speaker 1: with the Bloomberg Business App. You can also listen live 579 00:28:21,600 --> 00:28:25,159 Speaker 1: on Amazon Alexa from our flagship New York station. Just 580 00:28:25,200 --> 00:28:27,600 Speaker 1: say Alexa play Bloomberg eleven thirty. 581 00:28:27,760 --> 00:28:29,280 Speaker 2: You've seen It's a magical moment. 582 00:28:29,320 --> 00:28:32,399 Speaker 3: A couple of weeks ago, Dan Tannebaum with Oliver Wyman, 583 00:28:32,480 --> 00:28:36,240 Speaker 3: mister von Steina says all sorts of perspective. I'm banking, 584 00:28:36,720 --> 00:28:39,160 Speaker 3: but also on his United Kingdom. He has served the 585 00:28:39,240 --> 00:28:43,440 Speaker 3: nation at Treasury and also with mister Carne at Bank 586 00:28:43,520 --> 00:28:46,280 Speaker 3: of England, and Hugh joins us this morning. He ended 587 00:28:46,360 --> 00:28:50,280 Speaker 3: the year here. I want to take a step back, 588 00:28:50,880 --> 00:28:54,120 Speaker 3: and I think everyone listening in America and this morning goes, 589 00:28:54,680 --> 00:28:59,320 Speaker 3: what's it going to take for Britain to recover? The 590 00:28:59,360 --> 00:29:03,479 Speaker 3: Prime minister are going after Brexit? I believe yesterday and such, 591 00:29:04,040 --> 00:29:08,400 Speaker 3: what is this von steinas pixie dust to get Britain 592 00:29:08,640 --> 00:29:09,560 Speaker 3: to turn it around? 593 00:29:11,600 --> 00:29:13,960 Speaker 10: Well, Tom thanks for having me back on. Look, I 594 00:29:13,960 --> 00:29:16,560 Speaker 10: think it's a great question. I mean, I think one 595 00:29:16,600 --> 00:29:20,000 Speaker 10: thing we've debated before is that since Brexit, the UK 596 00:29:20,080 --> 00:29:22,840 Speaker 10: has become ever more European. In fact, as of last 597 00:29:22,880 --> 00:29:25,600 Speaker 10: week we have the same tax rates as France, but 598 00:29:26,360 --> 00:29:28,640 Speaker 10: with none of the benefits of being in the EU 599 00:29:28,720 --> 00:29:31,440 Speaker 10: from a trading block. And maybe you know, some of 600 00:29:31,480 --> 00:29:33,760 Speaker 10: the animal spirits that we so loved about the UK 601 00:29:33,880 --> 00:29:36,480 Speaker 10: being a bit dampened. So look that the thesis for 602 00:29:36,560 --> 00:29:38,600 Speaker 10: me would be how we can get back to be 603 00:29:38,680 --> 00:29:39,560 Speaker 10: more mid atlantic. 604 00:29:40,120 --> 00:29:40,239 Speaker 6: Now. 605 00:29:40,280 --> 00:29:41,520 Speaker 4: I think there are some positives here. 606 00:29:41,560 --> 00:29:44,680 Speaker 10: I think about it that we've got amazing entrepreneurs, amazing companies. 607 00:29:44,920 --> 00:29:47,280 Speaker 10: In fact, we've got three of the top universities in 608 00:29:47,760 --> 00:29:51,000 Speaker 10: the world and the clusters of development around them are 609 00:29:51,000 --> 00:29:53,600 Speaker 10: really exciting. But we need to be mid atlantic. And 610 00:29:53,640 --> 00:29:56,880 Speaker 10: so if you want to have one positive, this week 611 00:29:56,240 --> 00:30:00,000 Speaker 10: the Bank of England announced it's moving in the direction 612 00:30:00,160 --> 00:30:03,080 Speaker 10: of the FED and the Trump's policy, which is bank 613 00:30:03,160 --> 00:30:06,320 Speaker 10: regulation is going to be refined. And actually this is 614 00:30:06,320 --> 00:30:09,000 Speaker 10: probably the first mid atlantic step we've taken in the 615 00:30:09,040 --> 00:30:12,880 Speaker 10: last decade. So amidst the doom and gloom about the taxes, 616 00:30:13,200 --> 00:30:15,640 Speaker 10: there are some positives at least financial regulations heading in 617 00:30:15,680 --> 00:30:16,520 Speaker 10: the right direction, and it. 618 00:30:16,440 --> 00:30:19,280 Speaker 3: Appears McLaren rains have sent it Nabu Dhabi this week, 619 00:30:19,320 --> 00:30:23,120 Speaker 3: and Lando and piastre getting it done. 620 00:30:23,120 --> 00:30:27,320 Speaker 2: Maybe against Vince. It's just like the sixteenth century or something. 621 00:30:27,360 --> 00:30:30,880 Speaker 3: Sure, I mean it's not what's the city look like, 622 00:30:30,960 --> 00:30:33,360 Speaker 3: Paul and I want and if we visit, like, what's 623 00:30:33,360 --> 00:30:37,840 Speaker 3: the vibrancy of the city versus the boom in New York. 624 00:30:39,280 --> 00:30:40,920 Speaker 4: Well, please come over and visit. 625 00:30:40,960 --> 00:30:44,160 Speaker 10: Look, your offices in London are still in a fantastic place. 626 00:30:44,200 --> 00:30:46,840 Speaker 10: In London is busy, but no Look, as I'm in 627 00:30:46,960 --> 00:30:50,640 Speaker 10: New York, you know every six weeks's New York's booming. 628 00:30:50,920 --> 00:30:54,760 Speaker 10: London's rolling over and there's clearly some amazing entrepreneurs, but 629 00:30:54,800 --> 00:30:56,760 Speaker 10: it's just not got the same bars as New York, 630 00:30:57,000 --> 00:31:00,760 Speaker 10: where there's excitement. But that said, you know, as I 631 00:31:00,840 --> 00:31:04,400 Speaker 10: meet with the private market firms, they're very excited about 632 00:31:04,400 --> 00:31:06,760 Speaker 10: the outlook for M and A in the UK next year. 633 00:31:07,120 --> 00:31:10,240 Speaker 10: We've seen two US private market firms acquire insurers this 634 00:31:10,360 --> 00:31:13,600 Speaker 10: year because they're excited by the financial deregulation allowing them 635 00:31:13,720 --> 00:31:16,680 Speaker 10: to invest. So you know, around the edges there's still 636 00:31:16,720 --> 00:31:19,880 Speaker 10: an awful lot of excitement, but the streets don't have 637 00:31:19,920 --> 00:31:20,640 Speaker 10: the buzz of New York. 638 00:31:20,680 --> 00:31:24,240 Speaker 6: Of course, talk to us about private credit here, Hugh. 639 00:31:24,360 --> 00:31:28,080 Speaker 6: This is obviously a significant new market. Over the last 640 00:31:28,400 --> 00:31:32,280 Speaker 6: ten to fifteen years, there's been some concerns about credit 641 00:31:32,400 --> 00:31:35,280 Speaker 6: quality creeping into this part of the market. How do 642 00:31:35,320 --> 00:31:37,720 Speaker 6: you see it, because you've got so much experience looking 643 00:31:37,720 --> 00:31:39,440 Speaker 6: at the financial markets. 644 00:31:39,840 --> 00:31:42,920 Speaker 10: Look, Paul, I think I think the thing which is 645 00:31:42,960 --> 00:31:45,720 Speaker 10: misunderstood is that we've now got an asset class or 646 00:31:45,800 --> 00:31:48,720 Speaker 10: a range of assets which are almost three trillin a size, 647 00:31:49,080 --> 00:31:50,680 Speaker 10: and they're going to be the good, the bad, and 648 00:31:50,720 --> 00:31:53,120 Speaker 10: the ugly in that area. And so if I sort 649 00:31:53,120 --> 00:31:55,960 Speaker 10: of break it into let's say, you know, there's mid 650 00:31:56,000 --> 00:31:58,880 Speaker 10: market finance, there's acquisition finance, and there's obviously all this 651 00:31:58,960 --> 00:32:02,520 Speaker 10: investment grade private and I think it's very different rhythms 652 00:32:02,560 --> 00:32:06,440 Speaker 10: in the market. So in leverage finance, of course, there 653 00:32:06,440 --> 00:32:10,640 Speaker 10: are companies who borrowed before interest rates went up, probably 654 00:32:10,640 --> 00:32:13,600 Speaker 10: have the wrong capital structure and maybe if they haven't 655 00:32:13,600 --> 00:32:15,360 Speaker 10: had the cash flow to work through the debt, we'll 656 00:32:15,400 --> 00:32:18,320 Speaker 10: need to restructure. And that's the area of real focus 657 00:32:18,360 --> 00:32:20,920 Speaker 10: and tension where you're seeing, you know, the percentage of 658 00:32:20,960 --> 00:32:24,160 Speaker 10: pick being paid, you know, payment in kind instead of cash. 659 00:32:24,200 --> 00:32:26,840 Speaker 10: Interest has been picking up, and there's clearly going to 660 00:32:26,840 --> 00:32:29,240 Speaker 10: be some restructurings or highly like to be some restrucures 661 00:32:29,240 --> 00:32:29,760 Speaker 10: in that area. 662 00:32:30,200 --> 00:32:31,480 Speaker 4: We flip to the other side. 663 00:32:31,960 --> 00:32:35,960 Speaker 10: The biggest boomers we've discussed before has been insurers giving 664 00:32:36,000 --> 00:32:38,280 Speaker 10: money to private credit to get about a one to 665 00:32:38,320 --> 00:32:40,280 Speaker 10: one and a half percent pick up on what they 666 00:32:40,320 --> 00:32:43,880 Speaker 10: could in the public markets. Those loans are much more 667 00:32:43,920 --> 00:32:48,640 Speaker 10: around infrastructure, data centers, utilities. Now I'm not saying that 668 00:32:48,640 --> 00:32:50,760 Speaker 10: there couldn't be some credit events there, but that's a 669 00:32:50,880 --> 00:32:53,920 Speaker 10: very different part of economy which is booming, has huge 670 00:32:53,920 --> 00:32:58,120 Speaker 10: capital needs because as you see with the data center issuance, 671 00:32:58,520 --> 00:33:01,320 Speaker 10: they're having to tap the private markets as well as 672 00:33:01,360 --> 00:33:04,200 Speaker 10: public markets because the need for capex is so overwhelming. 673 00:33:04,280 --> 00:33:06,160 Speaker 4: So I think we've got different rhythms. 674 00:33:06,880 --> 00:33:09,000 Speaker 10: I think we there are going to be some credit events, 675 00:33:09,000 --> 00:33:11,160 Speaker 10: but I think in a way where we need to 676 00:33:11,160 --> 00:33:14,400 Speaker 10: think about this is credit overall. This isn't This is 677 00:33:14,440 --> 00:33:17,760 Speaker 10: a very diversified marketplace, and there's going to be fit. 678 00:33:17,920 --> 00:33:20,600 Speaker 10: Somethings are hot and some things which quite frankly, will 679 00:33:20,600 --> 00:33:21,520 Speaker 10: go it will fail. 680 00:33:22,360 --> 00:33:25,200 Speaker 6: So, Hugh, we're in for twenty twenty six. What are 681 00:33:25,200 --> 00:33:27,360 Speaker 6: the key themes you're looking at here? Because I mean 682 00:33:27,600 --> 00:33:30,600 Speaker 6: you could step back and say, boy, generally the economies 683 00:33:30,640 --> 00:33:33,520 Speaker 6: are generally pretty strong inflations there, but it's not too 684 00:33:33,600 --> 00:33:36,720 Speaker 6: much of a risk. We've got most central banks cutting 685 00:33:36,840 --> 00:33:39,960 Speaker 6: rates for a lot of folks, and corporate earning seem 686 00:33:39,960 --> 00:33:41,240 Speaker 6: pretty solid from a lot of folks. 687 00:33:41,280 --> 00:33:43,640 Speaker 4: That seems pretty constructive for risk assets. 688 00:33:43,680 --> 00:33:45,959 Speaker 6: Is that your view or you're a little bit different. 689 00:33:47,240 --> 00:33:48,520 Speaker 4: No, Look, I think no. 690 00:33:48,600 --> 00:33:50,640 Speaker 10: I can the aeras of the market that I know well, 691 00:33:50,680 --> 00:33:53,360 Speaker 10: I mean, let's say take European banks, I'm pretty constructive. Still, 692 00:33:53,480 --> 00:33:55,400 Speaker 10: I don't see a big pickup in bad debts. I 693 00:33:55,400 --> 00:33:58,280 Speaker 10: see the interest rate environment being conducive, but there's not 694 00:33:58,400 --> 00:34:01,200 Speaker 10: much growth here. But I think the themes. Look, I've 695 00:34:01,240 --> 00:34:05,000 Speaker 10: got three big themes the next year. So one is mercantilism. 696 00:34:05,360 --> 00:34:10,279 Speaker 10: How will the tariff policies that invest domestically. How will 697 00:34:10,320 --> 00:34:13,560 Speaker 10: mercantism not just play out in the US and China? 698 00:34:13,640 --> 00:34:15,800 Speaker 10: But what happens to Europe being the piggy in the middle, 699 00:34:16,000 --> 00:34:20,160 Speaker 10: do they really invest and take advantage someone like Norway 700 00:34:20,200 --> 00:34:24,160 Speaker 10: with all its rare arts or will they get panicked 701 00:34:24,480 --> 00:34:27,040 Speaker 10: and make some poor deals. So I think mercantilism and 702 00:34:27,080 --> 00:34:29,520 Speaker 10: how that plays out, I think is really key. I 703 00:34:29,520 --> 00:34:33,320 Speaker 10: think second is the whole AI data boom, the whole Capex. 704 00:34:34,040 --> 00:34:36,799 Speaker 10: Does that continue to have real force because in which 705 00:34:36,840 --> 00:34:40,520 Speaker 10: case that's very positive backdrop for at least banks and 706 00:34:40,560 --> 00:34:43,920 Speaker 10: financial markets because that's a huge need for credit. And 707 00:34:43,960 --> 00:34:46,000 Speaker 10: then the third is like kind of you know we've 708 00:34:46,040 --> 00:34:49,280 Speaker 10: had is then the debate about the cycle in Europe 709 00:34:49,440 --> 00:34:52,040 Speaker 10: and really will we take advantage? Is this late cycle 710 00:34:52,120 --> 00:34:54,440 Speaker 10: and we're going to go into a slight slowdown or 711 00:34:54,480 --> 00:34:57,680 Speaker 10: will Europe start to get it sort of mojo back together? 712 00:34:58,560 --> 00:35:00,479 Speaker 4: So they're for me the three big theme for twenty 713 00:35:00,520 --> 00:35:01,000 Speaker 4: twenty six. 714 00:35:01,160 --> 00:35:06,040 Speaker 3: The claim started with European banking and penetrating analysis of 715 00:35:06,080 --> 00:35:10,600 Speaker 3: income statements here von steinas with that background, your thoughts 716 00:35:10,960 --> 00:35:17,760 Speaker 3: and how private credit will clear given lower valuations than expected? 717 00:35:18,239 --> 00:35:20,040 Speaker 3: How is that process going to play out? 718 00:35:23,160 --> 00:35:25,600 Speaker 10: So Tom, I think this goes back to this multi speed. 719 00:35:26,080 --> 00:35:30,439 Speaker 10: So I think that you know, in the Capex rich 720 00:35:31,200 --> 00:35:36,719 Speaker 10: insurance supported you know quite frankly boom around Capex. I 721 00:35:36,760 --> 00:35:40,480 Speaker 10: think that the demand for capital is so high it's 722 00:35:40,480 --> 00:35:42,600 Speaker 10: actually providing a bit of a risk premium, and that's 723 00:35:42,640 --> 00:35:44,840 Speaker 10: why you're still still seeing this this extra So I 724 00:35:44,880 --> 00:35:48,160 Speaker 10: think that piece of the market absent at a major 725 00:35:48,160 --> 00:35:50,680 Speaker 10: shock is in really good shape. But I think around 726 00:35:50,719 --> 00:35:55,439 Speaker 10: acquisition finance, those deals which were written you know, five 727 00:35:55,480 --> 00:35:58,320 Speaker 10: six years ago probably over leven in terms of companies. 728 00:35:58,360 --> 00:36:00,640 Speaker 10: If they haven't had that cash flow work through, then 729 00:36:00,640 --> 00:36:02,799 Speaker 10: I suspect there will be some you know, they're clearly 730 00:36:02,840 --> 00:36:05,680 Speaker 10: going to be some restructurings and credit events. I think 731 00:36:05,840 --> 00:36:09,319 Speaker 10: what you've seen, Tom is that if you like the 732 00:36:09,360 --> 00:36:13,680 Speaker 10: continuation funds, the secondary funds, the pick that the innovations 733 00:36:13,680 --> 00:36:16,040 Speaker 10: that the credit markets have had have been trying to 734 00:36:16,120 --> 00:36:20,200 Speaker 10: help private equity owners through a cycle where they haven't 735 00:36:20,239 --> 00:36:23,480 Speaker 10: been able to sell. And so the pause, the ball 736 00:36:23,520 --> 00:36:25,759 Speaker 10: case is that the pick up an M and A 737 00:36:25,880 --> 00:36:28,640 Speaker 10: that you've had on the show, whether it's Morgan Stanley, JP, 738 00:36:28,719 --> 00:36:31,040 Speaker 10: Morgan Goldman's are expecting if that M and A and 739 00:36:31,120 --> 00:36:35,040 Speaker 10: IPO Boom picks up, that's a release alve. But if 740 00:36:35,040 --> 00:36:37,759 Speaker 10: that doesn't play out, then I still think we're going 741 00:36:37,840 --> 00:36:40,600 Speaker 10: to get you know, a couple of percent restructurings next 742 00:36:40,680 --> 00:36:43,279 Speaker 10: year of that cohort which you know are under a 743 00:36:43,320 --> 00:36:43,800 Speaker 10: lot of pressure. 744 00:36:44,160 --> 00:36:47,520 Speaker 3: Hugh, take that phone called Tot, Maam. They're looking for 745 00:36:47,560 --> 00:36:48,920 Speaker 3: a new coach. I know they are. 746 00:36:49,040 --> 00:36:49,080 Speaker 7: You. 747 00:36:49,239 --> 00:36:52,359 Speaker 3: Von Steina is the next coach of the Tots where us. 748 00:36:52,360 --> 00:36:57,120 Speaker 3: He is with Oliver Wyman there on his disunited that kingdom. 749 00:36:57,440 --> 00:37:00,839 Speaker 3: Stay with us. More from Bloomberg Survey on coming up 750 00:37:01,040 --> 00:37:08,680 Speaker 3: after this. 751 00:37:08,680 --> 00:37:12,560 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 752 00:37:12,640 --> 00:37:16,040 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 753 00:37:16,080 --> 00:37:19,040 Speaker 1: with the Bloomberg Business app. You can also listen live 754 00:37:19,080 --> 00:37:22,680 Speaker 1: on Amazon Alexa from our flagship New York station, Just 755 00:37:22,719 --> 00:37:26,040 Speaker 1: say Alexa play Bloomberg eleven thirty the newspaper. 756 00:37:26,160 --> 00:37:29,239 Speaker 2: She's been working at it diligently since for twenty two. 757 00:37:29,320 --> 00:37:31,160 Speaker 2: This morning, Lisa Mato, you got it. 758 00:37:31,239 --> 00:37:31,920 Speaker 4: Let's start with this. 759 00:37:32,600 --> 00:37:35,680 Speaker 9: San Francisco drivers are saying that waymos self's driving cars. Yes, 760 00:37:35,960 --> 00:37:39,080 Speaker 9: are behaving like New York City taxi drivers. Oh boy, 761 00:37:39,080 --> 00:37:41,799 Speaker 9: they're getting aggressive, okay, Wall Street jurn I spoke to 762 00:37:41,800 --> 00:37:42,200 Speaker 9: some of them. 763 00:37:43,160 --> 00:37:44,120 Speaker 4: She's seen it. Okay. 764 00:37:44,320 --> 00:37:47,360 Speaker 9: So they're saying they're in the tunnel and they're changing lanes, 765 00:37:47,480 --> 00:37:49,800 Speaker 9: you know. By the San Francisco yer they're making illegal 766 00:37:49,960 --> 00:37:52,839 Speaker 9: U turns and then the minute the light turns green, 767 00:37:52,880 --> 00:37:53,760 Speaker 9: theyy florid. 768 00:37:54,000 --> 00:37:56,120 Speaker 2: I saw that. I saw that. 769 00:37:56,920 --> 00:37:59,680 Speaker 3: One went by me. I'm fit the avenue. I don't 770 00:37:59,680 --> 00:38:02,600 Speaker 3: get it. I get it, Austin, I get this. 771 00:38:03,040 --> 00:38:05,040 Speaker 2: Help me. Lisa Loblaw won't speak to me. 772 00:38:05,880 --> 00:38:08,080 Speaker 9: Well there's a reason, okay. So the Wall Street Journal 773 00:38:08,080 --> 00:38:10,520 Speaker 9: spoke with their senior director of product management and they 774 00:38:10,520 --> 00:38:12,279 Speaker 9: told them about this. Right, So what he said is 775 00:38:12,280 --> 00:38:15,960 Speaker 9: that they're trying to make their cars confidently assertive. 776 00:38:16,120 --> 00:38:18,640 Speaker 4: That's how they put it, Yes, because they used to 777 00:38:18,680 --> 00:38:19,800 Speaker 4: be a little bit passive. 778 00:38:19,920 --> 00:38:22,359 Speaker 9: And then when you're passive, that can, you know, become 779 00:38:22,400 --> 00:38:24,680 Speaker 9: a little disruptive, you know, because if you have a 780 00:38:24,719 --> 00:38:28,200 Speaker 9: car who's being nicey nice, and sometimes it can disrupt things. 781 00:38:28,320 --> 00:38:30,520 Speaker 9: So they say they want them to be a little 782 00:38:30,520 --> 00:38:35,200 Speaker 9: bit more confident. I used to be confright, and then yeah, 783 00:38:35,280 --> 00:38:39,560 Speaker 9: and once you get used to drive, Yeah. 784 00:38:39,160 --> 00:38:42,920 Speaker 2: And I was confidently assertive and drove the VW Bug 785 00:38:42,960 --> 00:38:45,360 Speaker 2: into a ditch. Oh gosh. 786 00:38:46,640 --> 00:38:46,759 Speaker 3: No. 787 00:38:46,760 --> 00:38:48,759 Speaker 9: But you know, with the regular drivers, like my daughter, 788 00:38:48,800 --> 00:38:50,880 Speaker 9: she just started learning. She was two hands on the wheel. 789 00:38:50,920 --> 00:38:53,120 Speaker 9: Now she's got like a Starbucks one hand. She's like 790 00:38:53,600 --> 00:38:56,680 Speaker 9: like no, you can't get confident like that. 791 00:38:56,760 --> 00:38:58,239 Speaker 2: And here we go. 792 00:38:58,600 --> 00:39:01,480 Speaker 9: Okay, there's a new in demand job skill. Are you 793 00:39:01,520 --> 00:39:04,640 Speaker 9: ready for it? It's being an influencer on social media? 794 00:39:04,719 --> 00:39:05,040 Speaker 2: Okay. 795 00:39:05,320 --> 00:39:10,319 Speaker 9: So companies like Starbucks, Delta Airlines, they're hiring people to 796 00:39:10,440 --> 00:39:14,560 Speaker 9: be these specific positions to show how fun the company 797 00:39:14,640 --> 00:39:17,319 Speaker 9: is to work for, to give different details, all with 798 00:39:17,400 --> 00:39:20,640 Speaker 9: the approval of the company. However, so they're saying it's 799 00:39:20,640 --> 00:39:22,640 Speaker 9: a win win for the company. So it allows the 800 00:39:22,640 --> 00:39:24,920 Speaker 9: companies to show place, you know, to showcase, hey, this 801 00:39:25,000 --> 00:39:27,240 Speaker 9: is a great place to work. And then it allows 802 00:39:27,280 --> 00:39:30,000 Speaker 9: the workers a chance to bring their skills to a 803 00:39:30,040 --> 00:39:34,960 Speaker 9: bigger audience. They get, you know, work trips, professional development training, 804 00:39:35,000 --> 00:39:39,320 Speaker 9: they get to update their resume, their LinkedIn profiles, rich. 805 00:39:43,800 --> 00:39:44,800 Speaker 2: Technical director. 806 00:39:45,239 --> 00:39:51,440 Speaker 3: Can you see kind of fellow on TikTok No, I'm 807 00:39:51,480 --> 00:39:55,120 Speaker 3: not sure, as you kill it every day. 808 00:39:55,400 --> 00:39:56,000 Speaker 4: It's a big thing. 809 00:39:56,040 --> 00:39:56,640 Speaker 2: It's a big thing. 810 00:39:56,680 --> 00:39:59,880 Speaker 9: I'm not walking around my phone trying to detail. 811 00:40:00,080 --> 00:40:02,000 Speaker 4: We'll see if that comes to it. Okay. 812 00:40:02,080 --> 00:40:06,919 Speaker 9: So there's a new exclusive club okay, soho house better 813 00:40:06,960 --> 00:40:07,279 Speaker 9: look out. 814 00:40:07,320 --> 00:40:07,600 Speaker 2: Okay. 815 00:40:07,600 --> 00:40:10,960 Speaker 9: It's in New York City. It's called Moss. It recently opened. 816 00:40:11,000 --> 00:40:13,520 Speaker 9: It's five stories at five twenty fifth Avenue, right by 817 00:40:13,520 --> 00:40:16,000 Speaker 9: forty third Street, so right in midtown. It was founded 818 00:40:16,000 --> 00:40:18,279 Speaker 9: by these two sisters, and the New York Post took 819 00:40:18,320 --> 00:40:18,759 Speaker 9: a tour of it. 820 00:40:18,840 --> 00:40:18,960 Speaker 2: Right. 821 00:40:19,000 --> 00:40:22,920 Speaker 9: So you have five fancy restaurants, all this lounge space, 822 00:40:23,080 --> 00:40:26,879 Speaker 9: twenty thousand square feet of dining and social space. Here's 823 00:40:26,880 --> 00:40:30,680 Speaker 9: a good thing, twenty thousand feet of wellness space. 824 00:40:30,719 --> 00:40:35,160 Speaker 4: There's two floors cigar, yes if that's different word. 825 00:40:35,400 --> 00:40:39,040 Speaker 6: Hally and Colleen Brooks called Moss a mix of quoting 826 00:40:39,239 --> 00:40:42,560 Speaker 6: intelligent leisure and physical culture. 827 00:40:42,600 --> 00:40:45,160 Speaker 4: You have it there, you have it now. The cost 828 00:40:45,239 --> 00:40:46,160 Speaker 4: of it costs. 829 00:40:46,360 --> 00:40:49,319 Speaker 9: The costs here it is okay, monthly dues anywhere from 830 00:40:49,320 --> 00:40:52,440 Speaker 9: two eighty to seven hundred and forty five dollars, and 831 00:40:52,520 --> 00:40:55,080 Speaker 9: that's on top of the initiation fee, which can run 832 00:40:55,120 --> 00:40:58,680 Speaker 9: you from fifteen hundred to nearly four thousand dollars. So 833 00:40:58,760 --> 00:41:00,600 Speaker 9: that's just to be a member and then to get 834 00:41:00,600 --> 00:41:02,040 Speaker 9: there and to you know, pay for all your food 835 00:41:02,040 --> 00:41:02,640 Speaker 9: and drink. 836 00:41:02,640 --> 00:41:03,120 Speaker 4: Some knowledge. 837 00:41:03,640 --> 00:41:04,799 Speaker 6: That sounds like it's just. 838 00:41:06,480 --> 00:41:08,800 Speaker 9: I've been to show house and I'm like, whoom, Maybe 839 00:41:08,800 --> 00:41:11,799 Speaker 9: I have to find a friend who comes over to here. 840 00:41:12,520 --> 00:41:15,120 Speaker 9: But it's just another place that that people can spend 841 00:41:15,160 --> 00:41:16,680 Speaker 9: their money here in New York City, all right. 842 00:41:16,719 --> 00:41:19,000 Speaker 6: I mean there's the clubs everywhere. I mean the old clubs, 843 00:41:19,239 --> 00:41:21,799 Speaker 6: vintage clubs that have been around for hundreds of years, 844 00:41:21,840 --> 00:41:23,400 Speaker 6: and then some of the new clubs. 845 00:41:24,160 --> 00:41:26,080 Speaker 2: We're coming up the concept next to your folks. 846 00:41:26,120 --> 00:41:31,600 Speaker 3: Club Surveillance Lisa's living room, Lisa Mateo, thank you so 847 00:41:31,719 --> 00:41:33,360 Speaker 3: much the newspapers. 848 00:41:33,560 --> 00:41:38,400 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 849 00:41:38,520 --> 00:41:42,800 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 850 00:41:42,920 --> 00:41:46,400 Speaker 1: seven to ten am Eastern on Bloomberg dot com, the 851 00:41:46,480 --> 00:41:50,520 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 852 00:41:50,520 --> 00:41:53,920 Speaker 1: can also watch us live every weekday on YouTube and 853 00:41:54,120 --> 00:41:55,840 Speaker 1: always on the Bloomberg terminal. 854 00:42:00,760 --> 00:42:01,320 Speaker 5: Hi