1 00:00:00,280 --> 00:00:07,160 Speaker 1: Joining us now Julia Pollock, Bloomberg's Audio studios recruits far 2 00:00:07,200 --> 00:00:14,840 Speaker 1: more important. This is the Bloomberg Savannahs Podcast. I'm Tim 3 00:00:14,920 --> 00:00:17,960 Speaker 1: Keene along with Paul Sweeney. Join us each day for 4 00:00:18,160 --> 00:00:22,760 Speaker 1: insight from the best in economics, finance, investment, and international relations. 5 00:00:23,040 --> 00:00:25,760 Speaker 2: You can also watch the show live on YouTube. 6 00:00:26,160 --> 00:00:30,159 Speaker 1: Visit the Bloomberg Podcast channel on YouTube to see the 7 00:00:30,240 --> 00:00:33,960 Speaker 1: show weekday morning from seven to ten and the easter from. 8 00:00:33,760 --> 00:00:36,080 Speaker 2: Our global headquarters in New York City. 9 00:00:36,440 --> 00:00:40,200 Speaker 1: Subscribe to the podcast on Apple, Spotify, or anywhere else 10 00:00:40,280 --> 00:00:44,320 Speaker 1: you listen, and always I'm Bloomberg Radio, the Bloomberg Terminals, 11 00:00:44,520 --> 00:00:46,360 Speaker 1: and the Bloomberg Business. 12 00:00:45,960 --> 00:00:50,000 Speaker 3: App hapecs orders today, we would have expected to see 13 00:00:50,000 --> 00:00:53,720 Speaker 3: a much larger decline in business investment with such high rates. 14 00:00:53,880 --> 00:00:57,440 Speaker 3: So the data that's coming in is pretty good, but 15 00:00:57,520 --> 00:01:00,880 Speaker 3: it's spectacular compared to where people thought we'd be now 16 00:01:01,680 --> 00:01:04,120 Speaker 3: a year ago. Over year ago and red started rising. 17 00:01:04,520 --> 00:01:08,240 Speaker 4: So when you talk to your companies here, what's the 18 00:01:08,360 --> 00:01:13,920 Speaker 4: challenge they have to attracting retaining talent here? Because I 19 00:01:13,959 --> 00:01:16,760 Speaker 4: look at a Jolt's number that's still really high, and 20 00:01:16,840 --> 00:01:18,720 Speaker 4: I'm like, I don't know all the Sweeney off Springs. 21 00:01:18,720 --> 00:01:21,200 Speaker 4: They're all employed here. What are your employers that you 22 00:01:21,240 --> 00:01:21,520 Speaker 4: talk to? 23 00:01:21,560 --> 00:01:24,480 Speaker 1: Tell Paul, you're the only father east of the Mississippi 24 00:01:24,560 --> 00:01:27,040 Speaker 1: River whose children are all employed gainfully. 25 00:01:27,520 --> 00:01:30,440 Speaker 2: It's a domain set of one. 26 00:01:31,440 --> 00:01:35,440 Speaker 3: Well, we have had twenty six months now of unemployment 27 00:01:35,480 --> 00:01:39,760 Speaker 3: atten below four percent. That's the longest period since the sixties. Really, 28 00:01:39,959 --> 00:01:43,119 Speaker 3: so this is still an incredibly tightly market. Employers thought 29 00:01:43,160 --> 00:01:45,440 Speaker 3: things would get easier, They thought leverage would swing all 30 00:01:45,480 --> 00:01:48,000 Speaker 3: the way back to employers. Hasn't really happened. They're still 31 00:01:48,040 --> 00:01:50,880 Speaker 3: struggling out there, and they're still finding that our attention 32 00:01:51,120 --> 00:01:53,559 Speaker 3: is fairly low. People are job hopping and finding better things. 33 00:01:53,640 --> 00:01:55,960 Speaker 2: I get to me, and I could be wrong. 34 00:01:56,040 --> 00:01:59,360 Speaker 1: There's so much hot era out there now about this 35 00:01:59,560 --> 00:02:01,640 Speaker 1: new how you get a job? 36 00:02:02,280 --> 00:02:04,440 Speaker 2: What do you see in the day to day grind 37 00:02:04,480 --> 00:02:05,320 Speaker 2: and Zip recruiter? 38 00:02:05,480 --> 00:02:08,600 Speaker 1: Like does a resume matterner anymore? Do you have to 39 00:02:08,720 --> 00:02:11,600 Speaker 1: master all this digital You got someone here. I needed 40 00:02:11,639 --> 00:02:13,880 Speaker 1: a change to be able to make more money and 41 00:02:13,960 --> 00:02:14,880 Speaker 1: have a life. 42 00:02:14,639 --> 00:02:15,600 Speaker 2: Outside my job. 43 00:02:15,680 --> 00:02:19,920 Speaker 1: Who doesn't Zip recruiter helped me discover something better. I 44 00:02:19,919 --> 00:02:24,520 Speaker 1: think our audience worldwide is fascinated by this new method. 45 00:02:25,200 --> 00:02:27,440 Speaker 1: How's a method work within our economy, and. 46 00:02:27,360 --> 00:02:31,560 Speaker 3: So for years, job search was centered around search right 47 00:02:31,600 --> 00:02:34,920 Speaker 3: people typing in a job title and finding the few 48 00:02:35,000 --> 00:02:40,320 Speaker 3: jobs that were in their area. Now, with AI matching technology, 49 00:02:40,320 --> 00:02:43,200 Speaker 3: people create a profile, they answer a couple of questions 50 00:02:43,240 --> 00:02:45,000 Speaker 3: and say what they want and what they're interested in, 51 00:02:45,400 --> 00:02:48,640 Speaker 3: and then a technology instantly alerts them to jobs that 52 00:02:48,680 --> 00:02:50,760 Speaker 3: match their skills and experience and shows them jobs they 53 00:02:50,760 --> 00:02:54,639 Speaker 3: wouldn't even have considered. And that is where the sort 54 00:02:54,680 --> 00:02:57,080 Speaker 3: of exciting new discovery is taking place. 55 00:02:57,160 --> 00:02:58,680 Speaker 2: I just wanted to be the bad boy for the 56 00:02:58,760 --> 00:03:04,040 Speaker 2: Rochester Reds aim back then, ya back then? So what 57 00:03:04,080 --> 00:03:04,799 Speaker 2: are the sectors? 58 00:03:04,880 --> 00:03:08,520 Speaker 4: I mean, what are the sectors that are just really 59 00:03:09,160 --> 00:03:12,200 Speaker 4: in dire need of just workers. 60 00:03:12,840 --> 00:03:17,600 Speaker 3: So there are many sectors where the workforce is aging, 61 00:03:17,760 --> 00:03:22,000 Speaker 3: where people are retiring in huge numbers, and where the 62 00:03:22,000 --> 00:03:25,400 Speaker 3: talent pipeline is drinking. People are not enrolling in accounting anymore, 63 00:03:25,400 --> 00:03:28,560 Speaker 3: They're not enrolling in the skilled trades in the kinds 64 00:03:28,560 --> 00:03:31,200 Speaker 3: of numbers. I have a whole theory on this, and 65 00:03:31,280 --> 00:03:32,800 Speaker 3: so a lot of jobs are just seen as kind 66 00:03:32,800 --> 00:03:33,079 Speaker 3: of old. 67 00:03:33,120 --> 00:03:36,560 Speaker 1: Why Paul and I are asking, because we've survived this 68 00:03:36,720 --> 00:03:40,960 Speaker 1: in school, what does the accounting industry do it's a 69 00:03:41,000 --> 00:03:43,480 Speaker 1: broad statement, not the big four, but what do they 70 00:03:43,480 --> 00:03:44,040 Speaker 1: do well? 71 00:03:44,080 --> 00:03:46,680 Speaker 3: So, so companies like KPMG, you're saying, wow, we've got 72 00:03:46,880 --> 00:03:49,360 Speaker 3: an image problem. Young smart people want to go into tech, 73 00:03:49,440 --> 00:03:52,000 Speaker 3: they want to go into AI and do all these 74 00:03:52,040 --> 00:03:52,480 Speaker 3: fun jobs. 75 00:03:52,520 --> 00:03:54,320 Speaker 5: They don't want to pay accounts. 76 00:03:54,320 --> 00:03:58,240 Speaker 3: They aft, So what is to pay? 77 00:03:58,360 --> 00:04:01,560 Speaker 2: Is the paul. It's a tough job, but. 78 00:04:01,800 --> 00:04:05,400 Speaker 3: The bigger issue is the perception that it's really hard 79 00:04:05,400 --> 00:04:08,000 Speaker 3: and stressful. So the number one reason people give us 80 00:04:07,800 --> 00:04:11,280 Speaker 3: for having quit a job is stress. People are increasingly 81 00:04:11,320 --> 00:04:14,840 Speaker 3: young people especially are prioritizing work life balance, and so 82 00:04:15,000 --> 00:04:18,160 Speaker 3: what KPMG and other companies that are strongly. 83 00:04:18,400 --> 00:04:22,680 Speaker 2: Account are prioritizing work, like are you kidding me? An 84 00:04:22,680 --> 00:04:27,400 Speaker 2: account what's an accountant make nowadays? Six fres dificult six 85 00:04:27,400 --> 00:04:30,119 Speaker 2: figures and twenty you pop them one hundred and eighty. 86 00:04:30,400 --> 00:04:31,720 Speaker 2: Nobody's worried about stress. 87 00:04:32,160 --> 00:04:37,480 Speaker 3: That's what companies that What industries that are very seasonal 88 00:04:37,560 --> 00:04:42,159 Speaker 3: like accounting, are doing now is increasing staffing generally across 89 00:04:42,200 --> 00:04:44,760 Speaker 3: the year, right, so that you don't have people who 90 00:04:44,800 --> 00:04:47,120 Speaker 3: are mostly kind of idle for several months and then 91 00:04:47,160 --> 00:04:49,240 Speaker 3: who have these massive rushes when they're working twenty four 92 00:04:49,279 --> 00:04:53,679 Speaker 3: to seven. They're the companies are absorbing that seasonal risk 93 00:04:54,240 --> 00:04:57,880 Speaker 3: and kind of overstaffing during during parts of the year 94 00:04:57,920 --> 00:04:59,960 Speaker 3: and then giving people an easier time. 95 00:05:00,040 --> 00:05:02,640 Speaker 4: I'm jerk, taxis, how does this back to home thing? 96 00:05:02,680 --> 00:05:04,480 Speaker 4: How is it playing out here? We're four or five 97 00:05:04,600 --> 00:05:08,080 Speaker 4: years into it here? How do you think it's How 98 00:05:08,200 --> 00:05:10,599 Speaker 4: is it shaking out? And we still have more room 99 00:05:10,680 --> 00:05:12,279 Speaker 4: to go in terms of that shacking. 100 00:05:12,000 --> 00:05:16,240 Speaker 3: Out, Very very resilient. Remote work is just about stabilized 101 00:05:16,279 --> 00:05:18,719 Speaker 3: in job hostings now at around eleven percent. There's still 102 00:05:18,720 --> 00:05:21,880 Speaker 3: a huge mismatch though, between demand for remote work and 103 00:05:22,640 --> 00:05:27,400 Speaker 3: remoters at hybrid remote and hybrid okay hybrid, sixty five 104 00:05:27,480 --> 00:05:29,680 Speaker 3: percent of job seekers say they would prefer to find 105 00:05:29,680 --> 00:05:32,760 Speaker 3: a remote or hybrid job. So there's huge. 106 00:05:32,520 --> 00:05:33,640 Speaker 5: Demand for remote work. 107 00:05:34,000 --> 00:05:36,400 Speaker 3: We know eleven percent of the people who just quit 108 00:05:36,480 --> 00:05:39,960 Speaker 3: jobs are looking for remote work, and that's why they quit. 109 00:05:40,160 --> 00:05:43,480 Speaker 2: One final question is just so so important. You got 110 00:05:43,520 --> 00:05:44,040 Speaker 2: to come back. 111 00:05:44,640 --> 00:05:47,799 Speaker 1: Where's she She's like West Coast, right, She's like working 112 00:05:47,839 --> 00:05:49,839 Speaker 1: like a twenty hour day going down to Santa. 113 00:05:49,560 --> 00:05:52,520 Speaker 2: Monica surfing, surfing and all that. 114 00:05:52,800 --> 00:05:56,120 Speaker 1: The absolute thing I hear from everybody older, is that 115 00:05:56,240 --> 00:05:57,400 Speaker 1: young kids won't work. 116 00:05:57,760 --> 00:05:58,280 Speaker 2: Is that true? 117 00:05:58,279 --> 00:06:01,200 Speaker 3: What do you see at ZIP recruiter, Well, prime age 118 00:06:01,279 --> 00:06:04,120 Speaker 3: labor force precipation is the highest it's been since two 119 00:06:04,120 --> 00:06:07,200 Speaker 3: thousand and one, right, so it's it's it's not exactly true, 120 00:06:07,920 --> 00:06:10,240 Speaker 3: but yes, there is a bit more priority placed on 121 00:06:10,680 --> 00:06:14,279 Speaker 3: work life balance and companies are having to improve and 122 00:06:14,839 --> 00:06:15,680 Speaker 3: that pandemic. 123 00:06:15,720 --> 00:06:17,000 Speaker 4: I think part of that's a pandemic. A lot of 124 00:06:17,040 --> 00:06:20,000 Speaker 4: people just said, man, life is short. 125 00:06:20,080 --> 00:06:23,359 Speaker 2: I need to read. I strongly agree. 126 00:06:23,560 --> 00:06:24,159 Speaker 4: I think that is. 127 00:06:24,240 --> 00:06:24,760 Speaker 2: And I don't know. 128 00:06:25,520 --> 00:06:27,000 Speaker 4: I think that's here for a while. 129 00:06:27,279 --> 00:06:28,200 Speaker 2: Don't be a strange. 130 00:06:28,240 --> 00:06:28,560 Speaker 1: I think. 131 00:06:28,800 --> 00:06:30,760 Speaker 2: And we would love to come out to La to 132 00:06:30,800 --> 00:06:34,240 Speaker 2: have you and you. We could do it. 133 00:06:34,680 --> 00:06:36,599 Speaker 1: We could, we could do it right by the pool 134 00:06:36,640 --> 00:06:40,320 Speaker 1: of the Sunset Tower Hotel. Nobody's there at seven, it's 135 00:06:40,320 --> 00:06:43,559 Speaker 1: three or four. We got Julie over there for early 136 00:06:43,560 --> 00:06:46,560 Speaker 1: morning cockcaills. Julia Pollock, thank you so much for Zipper. 137 00:06:46,680 --> 00:07:00,039 Speaker 2: This was fascinating joining us. Now. This is the interview. 138 00:06:59,760 --> 00:07:03,640 Speaker 1: Of the day with good perspective on the frenzy of 139 00:07:03,680 --> 00:07:05,960 Speaker 1: the moment. Paul, I'm embarrassed to say this, but I 140 00:07:06,040 --> 00:07:08,680 Speaker 1: got to rip up the script short with bitdog at 141 00:07:08,720 --> 00:07:12,360 Speaker 1: fifty six thousand with liz Anne Saunders at Charles Schwabs. 142 00:07:12,360 --> 00:07:15,560 Speaker 1: She and I are on the same page on this. Lizanne, 143 00:07:15,640 --> 00:07:19,120 Speaker 1: you know you've done fiscal advice to our government. You've 144 00:07:19,160 --> 00:07:23,640 Speaker 1: been involved in new administrations and giving them counsel on. 145 00:07:24,040 --> 00:07:27,680 Speaker 2: How to be responsible. As a five you were like seventeen, 146 00:07:27,720 --> 00:07:28,920 Speaker 2: I remember twenty years ago. 147 00:07:29,080 --> 00:07:33,840 Speaker 1: But liz Anne, did Gary Gensler screw this up? How 148 00:07:33,840 --> 00:07:39,280 Speaker 1: do you feel about the SEC green lighting bitcoin within 149 00:07:39,360 --> 00:07:40,800 Speaker 1: our retirement plans? 150 00:07:41,720 --> 00:07:46,080 Speaker 6: Well, there's there's always caution around this, and as you know, 151 00:07:46,200 --> 00:07:50,600 Speaker 6: Tom don't we don't offer it. We do provide the 152 00:07:50,640 --> 00:07:54,920 Speaker 6: opportunity for some of the you know, ETF vehicles to 153 00:07:54,960 --> 00:07:58,160 Speaker 6: be purchase a soul, but it's always with a wrapper 154 00:07:58,320 --> 00:08:01,800 Speaker 6: around about under standing the risk associated with this. It's 155 00:08:01,800 --> 00:08:05,880 Speaker 6: not a currency. It doesn't really provide and has it 156 00:08:06,000 --> 00:08:09,800 Speaker 6: provided an inflation hedge per se, and that you have 157 00:08:09,880 --> 00:08:13,400 Speaker 6: to treat it like a very speculative trade or investment 158 00:08:13,480 --> 00:08:17,240 Speaker 6: in your portfolio. But you know, beyond that, we we 159 00:08:17,360 --> 00:08:19,880 Speaker 6: can't control what all of our investors want to do. 160 00:08:19,960 --> 00:08:22,960 Speaker 6: But I'm a skeptic and I am just on crypto 161 00:08:23,040 --> 00:08:23,480 Speaker 6: in general. 162 00:08:23,560 --> 00:08:25,720 Speaker 1: Paul, I'm going to get in trouble here. But I'm 163 00:08:25,800 --> 00:08:28,600 Speaker 1: upset every time I go to the Bloomberg and do 164 00:08:28,720 --> 00:08:31,520 Speaker 1: the symbol for bitcoin that we have, which is xbt 165 00:08:31,960 --> 00:08:34,360 Speaker 1: x ray void Tom, and I have to hit the 166 00:08:34,360 --> 00:08:36,160 Speaker 1: famous yellow currency button. 167 00:08:36,280 --> 00:08:40,840 Speaker 2: Yes, you do next, it's not I don't care where 168 00:08:40,880 --> 00:08:42,719 Speaker 2: they put it. Yeah, but it's not. 169 00:08:43,040 --> 00:08:45,280 Speaker 1: I think it's more like an equity almost. But continue, 170 00:08:45,320 --> 00:08:46,000 Speaker 1: I just will talk. 171 00:08:46,440 --> 00:08:47,080 Speaker 2: Lizanne's right. 172 00:08:47,200 --> 00:08:48,559 Speaker 4: I know a guy of six floor we can talk 173 00:08:48,559 --> 00:08:50,439 Speaker 4: to about that work on the Hey, listen. 174 00:08:50,240 --> 00:08:53,559 Speaker 6: It's become very correlated to indexes like the Nasdaq one hundred, 175 00:08:53,640 --> 00:08:55,000 Speaker 6: So I think you're absolutely right. 176 00:08:55,520 --> 00:08:58,240 Speaker 4: Hey, Lizene, we're just kind of through the earning season here, 177 00:08:58,640 --> 00:09:00,960 Speaker 4: a couple more of the retailers left to come here. 178 00:09:01,240 --> 00:09:02,080 Speaker 4: What's your takeaway? 179 00:09:03,960 --> 00:09:06,760 Speaker 6: Maybe yet again, but to a more significant degree. You 180 00:09:06,960 --> 00:09:09,959 Speaker 6: saw analysts forced to lower the bar to a more 181 00:09:10,000 --> 00:09:13,280 Speaker 6: significant degree than was actually necessary, and as a result, 182 00:09:13,320 --> 00:09:15,560 Speaker 6: you've had almost a perfect round trip. If you go 183 00:09:15,600 --> 00:09:18,720 Speaker 6: back to October of last year, the expectation was about 184 00:09:18,720 --> 00:09:21,040 Speaker 6: eleven percent earn its growth for the fourth quarter. You 185 00:09:21,160 --> 00:09:25,160 Speaker 6: started the reporting season down sub two percent, but then 186 00:09:25,200 --> 00:09:27,760 Speaker 6: you've seen analysts have to ratchet things back up and 187 00:09:27,840 --> 00:09:31,640 Speaker 6: last I looked yesterday or Friday, it was back up 188 00:09:31,679 --> 00:09:35,679 Speaker 6: in the ten percent and change now. In fairness, though, 189 00:09:35,880 --> 00:09:39,640 Speaker 6: because of the way base effects work, that increase that 190 00:09:39,640 --> 00:09:43,199 Speaker 6: we're now seeing in Q four twenty twenty three, because 191 00:09:43,200 --> 00:09:45,640 Speaker 6: the bar gets set too low, You've seen analysts have 192 00:09:45,720 --> 00:09:48,960 Speaker 6: to ratchet down estimates for Q four twenty twenty four 193 00:09:49,400 --> 00:09:51,280 Speaker 6: because the year over years is not going to be 194 00:09:51,400 --> 00:09:54,360 Speaker 6: robust because you got that bigger pop in Q three. 195 00:09:54,440 --> 00:09:58,360 Speaker 6: But I think analysts have been admittedly flying a little 196 00:09:58,400 --> 00:10:01,679 Speaker 6: more blind in this environment called the pandemic era, where 197 00:10:01,800 --> 00:10:04,840 Speaker 6: even though there's fewer companies that are not providing guidance 198 00:10:04,920 --> 00:10:08,640 Speaker 6: at all, the guidance is just not quite as maybe 199 00:10:08,679 --> 00:10:11,679 Speaker 6: it was never precise, but it's a little the guidance 200 00:10:11,720 --> 00:10:14,359 Speaker 6: is a little more loosey goosey right now, leaving analysts 201 00:10:14,360 --> 00:10:16,880 Speaker 6: to have to kind of finagle things on their own 202 00:10:17,040 --> 00:10:19,600 Speaker 6: and also not adjust earnings too far out. 203 00:10:19,840 --> 00:10:22,800 Speaker 4: So one of the things Luzan as people try to 204 00:10:22,800 --> 00:10:25,800 Speaker 4: get a handle on those earnings is we need to 205 00:10:25,800 --> 00:10:27,679 Speaker 4: see a broadening out of this market. We saw a 206 00:10:27,720 --> 00:10:30,160 Speaker 4: little bit of a November December last year, but it 207 00:10:30,360 --> 00:10:33,439 Speaker 4: still feels like this market may be a little too 208 00:10:33,480 --> 00:10:35,800 Speaker 4: thin in terms of maybe the magnificent seven or five 209 00:10:35,920 --> 00:10:37,839 Speaker 4: or however many are left are kind of really driving 210 00:10:37,880 --> 00:10:39,760 Speaker 4: the performance here, and a lot of folks say that 211 00:10:39,840 --> 00:10:41,360 Speaker 4: makes them nervous. How do you think about it? 212 00:10:42,400 --> 00:10:45,360 Speaker 6: So I do think there's still is risk associated with 213 00:10:45,400 --> 00:10:47,480 Speaker 6: the concentration, but it's nowhere near as cute as it 214 00:10:47,559 --> 00:10:49,320 Speaker 6: was last year. To your point that we've had to 215 00:10:49,320 --> 00:10:53,439 Speaker 6: start whittling down from the magnificent seven to the sensational 216 00:10:53,559 --> 00:10:57,600 Speaker 6: six to the fabulous five, because we've seen that move 217 00:10:57,640 --> 00:11:00,200 Speaker 6: from in the case of Tesla, just out of the 218 00:11:00,280 --> 00:11:03,319 Speaker 6: seven in terms of the largest seven stocks recently dropped 219 00:11:03,320 --> 00:11:06,400 Speaker 6: down to number ten. And you've had stocks outside of 220 00:11:06,440 --> 00:11:10,160 Speaker 6: the sort of techy world like Brickshire Hathaway, like Eli, 221 00:11:10,240 --> 00:11:14,440 Speaker 6: Lilly leapfrog Tesla. But I think what's happening and you 222 00:11:14,440 --> 00:11:18,280 Speaker 6: don't pick it up necessarily by traditional breath statistics or 223 00:11:18,360 --> 00:11:21,120 Speaker 6: just looking at the MAGS seven is there's more churn 224 00:11:21,200 --> 00:11:25,040 Speaker 6: under the surface. So the Nasdaq Index overall, at the 225 00:11:25,080 --> 00:11:28,079 Speaker 6: index level, the maximum draw down this year from a 226 00:11:28,160 --> 00:11:30,400 Speaker 6: year to date high is only three percent, But the 227 00:11:30,520 --> 00:11:34,439 Speaker 6: average member maximum draw down again year to date from 228 00:11:34,440 --> 00:11:36,720 Speaker 6: a year to date high within the Nasdaq is negative 229 00:11:36,720 --> 00:11:40,520 Speaker 6: twenty two percent, so there's a lot more churn going 230 00:11:40,520 --> 00:11:42,360 Speaker 6: on under the surface. And I think in this kind 231 00:11:42,400 --> 00:11:45,680 Speaker 6: of market environment, to get the true story, the narrative 232 00:11:45,720 --> 00:11:48,920 Speaker 6: that the market is telling, you have got to leave 233 00:11:49,000 --> 00:11:51,439 Speaker 6: aside just index level analysis. 234 00:11:51,600 --> 00:11:53,920 Speaker 1: Lizanne four equity types in a room, you're going to 235 00:11:53,960 --> 00:11:55,679 Speaker 1: get seventeen answers. 236 00:11:55,240 --> 00:11:56,200 Speaker 2: On a rebalance. 237 00:11:56,600 --> 00:11:59,319 Speaker 1: What is the liz Ane Saunders formula. 238 00:11:59,320 --> 00:12:03,400 Speaker 6: For REBOUNDCE So I think to the extent investors can 239 00:12:03,480 --> 00:12:07,520 Speaker 6: do it based on the implications of turnover, tax bracket, 240 00:12:07,600 --> 00:12:13,559 Speaker 6: et cetera. I think portfolio based rebalancing versus calendar based rebalancing. 241 00:12:13,640 --> 00:12:16,320 Speaker 6: Letting actual moves in your portfolio, whether it's at the 242 00:12:16,360 --> 00:12:20,240 Speaker 6: individual stock level or some group like the Magnificent seven, 243 00:12:20,320 --> 00:12:24,040 Speaker 6: or at the sector asset class level. Let the moves 244 00:12:24,120 --> 00:12:26,520 Speaker 6: up and down as a share of your portfolio, dictate 245 00:12:26,559 --> 00:12:29,840 Speaker 6: the timing associated with rebalancing, versus say, what the mutual 246 00:12:30,400 --> 00:12:34,079 Speaker 6: fund complex does, which is last quarter, I mean last 247 00:12:34,120 --> 00:12:36,880 Speaker 6: week of every quarter. It's very calendar based, and I 248 00:12:36,880 --> 00:12:40,600 Speaker 6: think that's just a beneficial way for individual investors to 249 00:12:40,720 --> 00:12:43,480 Speaker 6: stay in gear not have to make all or nothing decisions. 250 00:12:43,559 --> 00:12:46,439 Speaker 6: And as I always say, do a version of BI 251 00:12:46,480 --> 00:12:49,040 Speaker 6: low cell high, which is you know, at low trim high. 252 00:12:49,520 --> 00:12:51,360 Speaker 6: I suppose boring to talk about. I love when you 253 00:12:51,360 --> 00:12:54,040 Speaker 6: guys ask me about that, but for the most part, 254 00:12:54,040 --> 00:12:56,640 Speaker 6: it's not maybe what it's not the bomb bass that 255 00:12:56,800 --> 00:12:59,480 Speaker 6: is more intriguing to people, but it's actually what matters. 256 00:13:00,080 --> 00:13:04,440 Speaker 4: Hey, Liz, and thinking about this market here, a lot 257 00:13:04,520 --> 00:13:07,200 Speaker 4: of folks are saying, yeah, earnings are fine, but we've 258 00:13:07,200 --> 00:13:08,760 Speaker 4: got to focus on what the Fed's going to do. 259 00:13:08,800 --> 00:13:11,160 Speaker 4: And I'm an old self side I don'tlyt so earnings 260 00:13:11,160 --> 00:13:13,600 Speaker 4: still matter to me, but we can't escape that this 261 00:13:13,679 --> 00:13:15,800 Speaker 4: FED is really a key driver of this marketplace. What 262 00:13:15,840 --> 00:13:18,800 Speaker 4: do you expect our freeder reserve to do this year? 263 00:13:19,800 --> 00:13:22,920 Speaker 6: Well, as you guys know, we've talked about this a 264 00:13:22,920 --> 00:13:26,800 Speaker 6: lot on this program and on TV in advance of 265 00:13:26,920 --> 00:13:29,839 Speaker 6: the better than expected job most recent job support, the 266 00:13:29,960 --> 00:13:33,000 Speaker 6: hotter than expected CPI report. We were not in the 267 00:13:33,040 --> 00:13:36,680 Speaker 6: March camp, felt that that was just too aggressive an assumption, 268 00:13:36,840 --> 00:13:40,120 Speaker 6: not to mention the six to seven cuts priced in 269 00:13:40,240 --> 00:13:43,920 Speaker 6: at that point, and that's now shifted to an outlook 270 00:13:43,960 --> 00:13:47,480 Speaker 6: that's a little more in line with the fed's dots, 271 00:13:47,520 --> 00:13:50,840 Speaker 6: but I think it's still too soon to tell the 272 00:13:50,840 --> 00:13:53,720 Speaker 6: FED is data dependent. I think this is a FED 273 00:13:54,200 --> 00:13:56,760 Speaker 6: that took the elevator up, the opposite of what they 274 00:13:56,760 --> 00:13:58,960 Speaker 6: normally do, which is take the escalator up. And I 275 00:13:58,960 --> 00:14:01,280 Speaker 6: think they're going to take the sc later down in 276 00:14:01,320 --> 00:14:05,680 Speaker 6: the interest of making sure that inflation has come down 277 00:14:05,679 --> 00:14:07,680 Speaker 6: as staying there. The other really important thing, and this 278 00:14:07,720 --> 00:14:09,520 Speaker 6: is what you need to watch for in all the 279 00:14:09,600 --> 00:14:13,600 Speaker 6: upcoming inflation data reports is Powell's emphasis, not at the 280 00:14:13,800 --> 00:14:16,920 Speaker 6: FOMC meeting or the presser, but in the sixty minutes 281 00:14:16,960 --> 00:14:21,240 Speaker 6: interview when he somewhat suddenly mentioned the twelve month rate 282 00:14:21,280 --> 00:14:23,680 Speaker 6: of change as being a key as opposed to the 283 00:14:23,680 --> 00:14:25,480 Speaker 6: thick six month rate of change or the three month 284 00:14:25,520 --> 00:14:27,960 Speaker 6: rate of change. That's another way of saying, we want 285 00:14:28,000 --> 00:14:32,520 Speaker 6: to sort of elongate the analysis period to feel confident 286 00:14:32,640 --> 00:14:35,240 Speaker 6: that inflation has come down and it's likely to stay down. 287 00:14:35,440 --> 00:14:37,000 Speaker 1: Li'sand a little weight to the tape here of the 288 00:14:37,080 --> 00:14:40,600 Speaker 1: magnificent whatever they are, a little saggy. Microsoft goes from 289 00:14:40,600 --> 00:14:43,080 Speaker 1: a four to twelve over the last couple of days 290 00:14:43,120 --> 00:14:45,360 Speaker 1: down to four oh seven right now, even in vidio 291 00:14:45,440 --> 00:14:49,520 Speaker 1: breaking down a little bit, do you still model out 292 00:14:49,720 --> 00:14:53,200 Speaker 1: it is completely normative to have a ten percent correction? 293 00:14:53,920 --> 00:14:56,080 Speaker 1: Is that still part of the Saunders playbook? 294 00:14:56,720 --> 00:14:59,120 Speaker 6: Sure, and a lot of people forget we had one. 295 00:14:59,360 --> 00:15:02,000 Speaker 6: In the latter of last year, there was a ten 296 00:15:02,040 --> 00:15:04,120 Speaker 6: percent correction in the S and P more for the 297 00:15:04,200 --> 00:15:07,760 Speaker 6: NASDAC from the late July to late October ten year 298 00:15:07,880 --> 00:15:12,160 Speaker 6: yield spike from subforida to up five. So it's incredible 299 00:15:12,160 --> 00:15:15,000 Speaker 6: how short memories are, as if the most recent correction 300 00:15:15,320 --> 00:15:18,680 Speaker 6: was way back in the twenty twenty covid era. And 301 00:15:18,720 --> 00:15:20,840 Speaker 6: I think to some degree, not on a day to 302 00:15:20,960 --> 00:15:23,640 Speaker 6: day basis or maybe week to week, but I think 303 00:15:23,880 --> 00:15:26,200 Speaker 6: the bond market is to some degree still in the 304 00:15:26,240 --> 00:15:28,280 Speaker 6: driver's seat for the equity market. And I think if 305 00:15:28,280 --> 00:15:31,720 Speaker 6: we were to get an outsized move, especially tied to 306 00:15:31,800 --> 00:15:34,720 Speaker 6: inflation on the upside and yields, I think that that 307 00:15:34,760 --> 00:15:36,920 Speaker 6: would be to the detriment of the equity market. 308 00:15:37,120 --> 00:15:39,640 Speaker 1: Lizanne Saunders, thank you so much. In honor of Lizanne, 309 00:15:39,680 --> 00:15:41,720 Speaker 1: Tomorrow all of our music. 310 00:15:41,480 --> 00:15:48,080 Speaker 2: Will be led Zeppelin. This is really cool. 311 00:15:48,280 --> 00:15:50,400 Speaker 1: I mean, he was with Steve Cohen over to SEC 312 00:15:50,440 --> 00:15:51,960 Speaker 1: and then Cohen bought the Mets. 313 00:15:51,680 --> 00:15:53,600 Speaker 2: And Nicholes said forget it, see. 314 00:15:53,440 --> 00:15:55,960 Speaker 1: You and you know this is a guy who writes 315 00:15:56,000 --> 00:16:00,920 Speaker 1: a memo and it's read religiously on Wall Street because 316 00:16:00,960 --> 00:16:03,840 Speaker 1: of his work, And like Mario Gibelly, I'm gonna take 317 00:16:03,840 --> 00:16:08,040 Speaker 1: it back to there's something about being an auto securities 318 00:16:08,440 --> 00:16:12,600 Speaker 1: analyst as Nick Colis was at First Boston a few 319 00:16:13,280 --> 00:16:13,880 Speaker 1: years ago. 320 00:16:14,360 --> 00:16:16,120 Speaker 2: Is just hugely read Data Trek. 321 00:16:16,200 --> 00:16:19,400 Speaker 1: Again, we protect the copyright of all of our guests 322 00:16:19,440 --> 00:16:22,760 Speaker 1: looked at Data Trek to get Nick Colis's brilliant work. 323 00:16:22,840 --> 00:16:24,920 Speaker 4: Yeah, Temmy had a pretty good career on Wall Street. 324 00:16:24,960 --> 00:16:27,720 Speaker 4: But here's a guy. It goes to Haverford College, great 325 00:16:27,760 --> 00:16:32,120 Speaker 4: school outside of Philly. He majors in Near Eastern archaeology. 326 00:16:32,200 --> 00:16:34,720 Speaker 4: Are you kidding me? If one of your offspring came 327 00:16:34,800 --> 00:16:37,520 Speaker 4: to you, Thomason, I'm going to major near Yeah, let's 328 00:16:37,520 --> 00:16:38,000 Speaker 4: go there. 329 00:16:37,880 --> 00:16:41,400 Speaker 1: Right now, Nick Colis, how about that Near Eastern archaeology 330 00:16:41,440 --> 00:16:42,080 Speaker 1: to get you through? 331 00:16:42,280 --> 00:16:43,360 Speaker 2: But how did that work? 332 00:16:44,560 --> 00:16:44,720 Speaker 1: Oh? 333 00:16:44,920 --> 00:16:46,600 Speaker 5: Very very slowly, very slightly. 334 00:16:46,600 --> 00:16:48,680 Speaker 4: But he made up for it by getting his MBA 335 00:16:48,760 --> 00:16:51,240 Speaker 4: at the Chicago Hey, Nick, thanks so much for joining 336 00:16:51,320 --> 00:16:54,960 Speaker 4: us here. Warren Buffett out with his annual letter. You 337 00:16:55,000 --> 00:16:57,840 Speaker 4: know what he didn't even talk about once was AI. 338 00:16:58,520 --> 00:17:00,840 Speaker 4: What do we read into that if Buffett doesn't care 339 00:17:00,840 --> 00:17:04,240 Speaker 4: about AI. Is he missing something? Are we overplaying something? 340 00:17:05,520 --> 00:17:06,600 Speaker 5: Yeah, it's fascinating. 341 00:17:06,680 --> 00:17:09,040 Speaker 7: You're right. He didn't mention AI even once in his letter, 342 00:17:09,080 --> 00:17:13,040 Speaker 7: which is one of the most widely read portfolio manager 343 00:17:13,119 --> 00:17:14,040 Speaker 7: letters in the world. 344 00:17:14,480 --> 00:17:16,840 Speaker 5: And I just take it as kind of Warren being Warren. 345 00:17:17,000 --> 00:17:20,800 Speaker 7: He cares about fundamentals, and he cares about company management, 346 00:17:20,800 --> 00:17:24,320 Speaker 7: and he cares about return of capital. AI is probably 347 00:17:24,320 --> 00:17:25,879 Speaker 7: just a footnote for him. 348 00:17:26,320 --> 00:17:28,439 Speaker 4: Are you concerned or to what level are you concerned? 349 00:17:28,520 --> 00:17:28,720 Speaker 1: Nick? 350 00:17:28,760 --> 00:17:32,119 Speaker 4: About? This is still a very concentrated market. There's not 351 00:17:32,200 --> 00:17:34,320 Speaker 4: a lot of breadth that there, whether it's the Magnificent 352 00:17:34,760 --> 00:17:36,960 Speaker 4: seven or five, or whether it's just a handful of 353 00:17:37,040 --> 00:17:40,560 Speaker 4: names pushing this market higher. The technicians telling me that's 354 00:17:40,600 --> 00:17:42,359 Speaker 4: not really a healthy market. How do you think about it? 355 00:17:43,600 --> 00:17:45,600 Speaker 7: It's I totally take a point that it's probably not 356 00:17:45,640 --> 00:17:47,720 Speaker 7: a healthy market, but it's the market that we have 357 00:17:48,320 --> 00:17:50,840 Speaker 7: and to some degree at least forgetting some movement out 358 00:17:50,880 --> 00:17:54,840 Speaker 7: of names besides tech. So Lily is helping healthcare, Berkshire 359 00:17:54,880 --> 00:17:57,120 Speaker 7: is helping financials, and those are two groups that are 360 00:17:57,119 --> 00:18:00,399 Speaker 7: performing here to date. So while we're having some amount 361 00:18:00,400 --> 00:18:03,000 Speaker 7: of narrowness at least it's narrowness in some sectors, it's 362 00:18:03,040 --> 00:18:06,000 Speaker 7: besides tech and tech adjacent. So I put that in 363 00:18:06,000 --> 00:18:08,760 Speaker 7: the win column versus say last year, where it was 364 00:18:08,840 --> 00:18:11,480 Speaker 7: really almost all tech for the first half of the year. 365 00:18:12,720 --> 00:18:15,400 Speaker 4: So when you think about this market here, Nick, I mean, 366 00:18:15,600 --> 00:18:18,240 Speaker 4: do we have to be smart on earnings? Do we 367 00:18:18,280 --> 00:18:20,400 Speaker 4: have to be smart on the FED? I mean, I'm 368 00:18:20,400 --> 00:18:21,920 Speaker 4: not even sure what's really driving this mark. 369 00:18:22,680 --> 00:18:25,399 Speaker 1: That's the smartest question I've heard this month, Paul. The 370 00:18:25,520 --> 00:18:28,879 Speaker 1: month's ending, the month's ending. I mean, this is really 371 00:18:28,920 --> 00:18:29,640 Speaker 1: really important. 372 00:18:29,640 --> 00:18:31,199 Speaker 2: Fos. Paul Sweening nails it. 373 00:18:31,560 --> 00:18:34,880 Speaker 1: Nicholas, am I a FED watcher or a street watcher? 374 00:18:36,040 --> 00:18:37,800 Speaker 7: I think you've got to be a street watcher. I 375 00:18:37,800 --> 00:18:41,960 Speaker 7: think it is said to a first degree of magnitude. 376 00:18:42,040 --> 00:18:45,360 Speaker 7: Rates don't really matter anymore. It comes down to what's 377 00:18:45,400 --> 00:18:47,960 Speaker 7: the story, what's the theme. If it's tech, that it's AI, 378 00:18:48,520 --> 00:18:51,119 Speaker 7: if it's outside of tech, that it's organic growth, So 379 00:18:51,240 --> 00:18:54,080 Speaker 7: a lily for example, being for the best example. It 380 00:18:54,119 --> 00:18:56,480 Speaker 7: comes down to stocks, It comes down to sectors. We've 381 00:18:56,520 --> 00:19:00,240 Speaker 7: got three winning sectors year to date, financial, healthcare, and tech, 382 00:19:00,840 --> 00:19:02,040 Speaker 7: and that's the way it's going to be most of 383 00:19:02,080 --> 00:19:03,800 Speaker 7: the year. This is kind of a mid cycle market. 384 00:19:04,040 --> 00:19:06,840 Speaker 7: This is a market where we're caring about growth, not Rachel. 385 00:19:06,880 --> 00:19:09,159 Speaker 1: You a guy that I miss, miss miss each and 386 00:19:09,200 --> 00:19:11,880 Speaker 1: every day. He was so kind to me, Clayton Christiensen 387 00:19:12,320 --> 00:19:16,480 Speaker 1: in disruption. This morning, we're seeing disruption at Macy's, Nick 388 00:19:16,520 --> 00:19:18,720 Speaker 1: coolis are we going to see a lot more disruption 389 00:19:19,240 --> 00:19:22,520 Speaker 1: of the have nots of corporate enterprise in the next 390 00:19:22,560 --> 00:19:23,159 Speaker 1: five years? 391 00:19:24,080 --> 00:19:24,480 Speaker 7: Boy? 392 00:19:24,840 --> 00:19:26,840 Speaker 5: I miss Christensen as well. It's a good point. 393 00:19:26,920 --> 00:19:30,879 Speaker 7: And you know his thesis was that disruption happens in perpetuity. 394 00:19:30,920 --> 00:19:33,720 Speaker 7: It happens every day in every way, and so I 395 00:19:33,720 --> 00:19:36,240 Speaker 7: think it's the single most important theme in investing, frankly, 396 00:19:36,320 --> 00:19:37,760 Speaker 7: not just day to day, in week to week, but 397 00:19:37,880 --> 00:19:40,360 Speaker 7: year and year and decades a decade. 398 00:19:40,560 --> 00:19:42,879 Speaker 4: So, Nick, if that is in fact the case in 399 00:19:42,960 --> 00:19:46,479 Speaker 4: terms of disruption, is there any scenario where I'm not 400 00:19:46,560 --> 00:19:48,720 Speaker 4: overweight tech? Just like forever? 401 00:19:50,760 --> 00:19:53,080 Speaker 7: Our basic take on this has been, no, you have 402 00:19:53,119 --> 00:19:55,679 Speaker 7: to be overweight tech and tech adjacent because tech is 403 00:19:55,720 --> 00:19:57,520 Speaker 7: now about, you know, in four different sectors. 404 00:19:58,400 --> 00:20:00,280 Speaker 5: But you do have to be long tech. And we 405 00:20:00,520 --> 00:20:01,200 Speaker 5: actually done. 406 00:20:01,080 --> 00:20:06,399 Speaker 7: Maths compared XLK to Berkshire Hathaway and XLK usually beats 407 00:20:06,400 --> 00:20:09,600 Speaker 7: Berkshire Hathaway on any given rolling one year basis back 408 00:20:09,640 --> 00:20:14,399 Speaker 7: for twenty thirty years. Innovation trumps everything, Technology trumps everything. 409 00:20:14,400 --> 00:20:16,800 Speaker 7: It's been that way for forever. I don't think it'll change. 410 00:20:16,920 --> 00:20:19,480 Speaker 1: Well, where are you? And Paul was mentioning you're work 411 00:20:19,480 --> 00:20:20,880 Speaker 1: going back to First Boston. 412 00:20:21,960 --> 00:20:24,920 Speaker 2: I look at AI A. I don't know what I'm 413 00:20:24,960 --> 00:20:25,560 Speaker 2: talking about. 414 00:20:25,600 --> 00:20:29,160 Speaker 1: I'm not qualified to opine, but Nick Collis, I look 415 00:20:29,200 --> 00:20:31,440 Speaker 1: at it where, Okay, people are. 416 00:20:31,359 --> 00:20:33,840 Speaker 2: Going to fail it AI, but there's got to be 417 00:20:33,920 --> 00:20:36,040 Speaker 2: some winners out there. Is that how you look at it? 418 00:20:37,280 --> 00:20:38,800 Speaker 7: I look at it kind of in this sort of 419 00:20:38,880 --> 00:20:42,520 Speaker 7: cliched picks and shovels paradigm where you don't necessarily want 420 00:20:42,520 --> 00:20:44,280 Speaker 7: to be the person going out to look for the gold. 421 00:20:44,320 --> 00:20:45,879 Speaker 7: You want to be the person selling the picks and 422 00:20:45,920 --> 00:20:48,840 Speaker 7: the shovels and the genes and sieves to the people 423 00:20:48,840 --> 00:20:50,520 Speaker 7: who want to go out and search for the gold. 424 00:20:50,560 --> 00:20:52,840 Speaker 7: And you know, that's why Nvidia is working so well, 425 00:20:52,920 --> 00:20:57,200 Speaker 7: that's why other names like Amazon should work fine. 426 00:20:57,920 --> 00:21:01,320 Speaker 4: So, Nick, you say that earnings for this market, what's 427 00:21:01,359 --> 00:21:04,320 Speaker 4: your takeaway from this most recent earning season. We've just 428 00:21:04,400 --> 00:21:06,359 Speaker 4: kind of just about to conclude here this week. 429 00:21:07,200 --> 00:21:09,399 Speaker 7: Yeah, this was kind of a C minus earning season 430 00:21:09,440 --> 00:21:12,040 Speaker 7: for me. It didn't really knock the cover off the ball. 431 00:21:12,080 --> 00:21:16,800 Speaker 7: You had some big wins Facebook obviously, Meta, Nvidia obviously, 432 00:21:16,880 --> 00:21:18,960 Speaker 7: but by and large, this was kind of a very 433 00:21:19,640 --> 00:21:22,040 Speaker 7: mediocre fourth quarter and the market knew it would be, 434 00:21:22,040 --> 00:21:23,840 Speaker 7: which is where we had that swoon last year. But 435 00:21:23,920 --> 00:21:25,959 Speaker 7: I think we're fine the rest of the year. Earnings 436 00:21:25,960 --> 00:21:28,639 Speaker 7: growth should pick up. But the current earning season was 437 00:21:28,680 --> 00:21:29,520 Speaker 7: kind of a nothing for me. 438 00:21:30,720 --> 00:21:34,200 Speaker 4: So what's the key driver for you through the mainit 439 00:21:34,240 --> 00:21:36,040 Speaker 4: of the year. Is it going to be earnings? Do 440 00:21:36,080 --> 00:21:38,840 Speaker 4: you need to see meaningful earnings growth in the back 441 00:21:38,840 --> 00:21:41,240 Speaker 4: half of this year? Is there earnings risk in this market? 442 00:21:42,280 --> 00:21:44,960 Speaker 7: There is some earnings risk versus expectations. I mean, we 443 00:21:45,000 --> 00:21:47,040 Speaker 7: all know that analysts guests too high and then have 444 00:21:47,080 --> 00:21:49,199 Speaker 7: to cut down. It was the case when I was 445 00:21:49,280 --> 00:21:51,320 Speaker 7: doing the job in the nineteen nineties. It's still the 446 00:21:51,320 --> 00:21:54,760 Speaker 7: case now. So earnings won't meet the streets current expectations, 447 00:21:54,800 --> 00:21:57,560 Speaker 7: but there will be enough earnings leverage to give us 448 00:21:57,680 --> 00:22:01,240 Speaker 7: four or five six seven percent earnings on say three 449 00:22:01,240 --> 00:22:04,160 Speaker 7: percent revenue growth, and that's enough to keep the market going. 450 00:22:04,200 --> 00:22:05,720 Speaker 7: The market's not just worried about this year. It's worried 451 00:22:05,760 --> 00:22:08,280 Speaker 7: about showing Ordnie's leverage for the next two, three, four, 452 00:22:08,440 --> 00:22:11,359 Speaker 7: five years, and we should get that extra recession. This 453 00:22:11,480 --> 00:22:13,200 Speaker 7: year just has to show that it has some growth. 454 00:22:13,400 --> 00:22:15,720 Speaker 1: Nick, we'red fifty one hundred rounded up. I mean, do 455 00:22:15,760 --> 00:22:17,960 Speaker 1: you have an XPX target out one year, two years? 456 00:22:18,000 --> 00:22:20,320 Speaker 1: Are you doing an ed yard any of the Roaring twenties? 457 00:22:21,680 --> 00:22:24,919 Speaker 7: No, but I do understand that there is a I 458 00:22:24,960 --> 00:22:26,040 Speaker 7: do think that there. 459 00:22:25,920 --> 00:22:28,400 Speaker 5: Is a very strong tail into this market. 460 00:22:28,480 --> 00:22:31,080 Speaker 7: I don't have a nartificial price target, but I'm totally 461 00:22:31,080 --> 00:22:33,640 Speaker 7: comfortable telling clients belong Us Equities here. 462 00:22:34,119 --> 00:22:48,080 Speaker 2: Nichole is hugely valuable. Look at the front pages around 463 00:22:48,119 --> 00:22:49,919 Speaker 2: the world. She called me up today, she said, I 464 00:22:49,960 --> 00:22:53,320 Speaker 2: got twenty ideas. I said, keep slash it. 465 00:22:53,680 --> 00:22:57,200 Speaker 8: All right, we're talking about the zembic effect. First of all, 466 00:22:57,480 --> 00:22:59,040 Speaker 8: this is from the New York Times. They're saying a 467 00:22:59,040 --> 00:23:01,439 Speaker 8: lot of those sele celebrities that kind of you know, 468 00:23:01,520 --> 00:23:04,840 Speaker 8: posted about their curves and how they're you know, going 469 00:23:04,840 --> 00:23:06,879 Speaker 8: through all these things, and a lot of fans. They 470 00:23:06,880 --> 00:23:08,760 Speaker 8: gained a lot of fans. Well, now they have to 471 00:23:08,800 --> 00:23:11,960 Speaker 8: explain how they dropped weight because some of them are 472 00:23:11,960 --> 00:23:14,600 Speaker 8: on these weight loss drugs. So it's a back and forth. 473 00:23:14,680 --> 00:23:18,760 Speaker 8: The fans are feeling betrayed about it. The social media influencers, 474 00:23:18,800 --> 00:23:21,360 Speaker 8: they're struggling over well, how do I say this now? 475 00:23:21,400 --> 00:23:23,879 Speaker 8: Because for so long I was talking about fat shaming 476 00:23:23,920 --> 00:23:25,040 Speaker 8: and remember. 477 00:23:24,720 --> 00:23:27,560 Speaker 2: Bostics walking by right now, Romaine and I are number 478 00:23:28,160 --> 00:23:31,639 Speaker 2: our fans are not worried about losing our curves. I 479 00:23:31,640 --> 00:23:33,199 Speaker 2: mean I know that right now, Paul, What do you 480 00:23:33,200 --> 00:23:33,480 Speaker 2: think of. 481 00:23:34,600 --> 00:23:36,440 Speaker 4: It's The effect is everywhere. I mean, you know a 482 00:23:36,480 --> 00:23:38,600 Speaker 4: lot of people and unfortunately for a lot of folks 483 00:23:38,600 --> 00:23:41,720 Speaker 4: who really need it, they can't get it right because 484 00:23:41,760 --> 00:23:45,040 Speaker 4: some people, for. 485 00:23:45,200 --> 00:23:48,320 Speaker 1: Me on this it's a diabetic drug, yes, correct, and 486 00:23:48,600 --> 00:23:53,600 Speaker 1: if I have a serious insulin diabetic issue, I can't 487 00:23:53,640 --> 00:23:57,800 Speaker 1: get my drug because somebody's trying to figure out correct rounds. 488 00:23:58,240 --> 00:24:02,240 Speaker 8: Yeah, yep, that's and it's expensive, expensive scripts. 489 00:24:02,280 --> 00:24:05,080 Speaker 4: They're writing the scripts and they're just not enough supply. 490 00:24:05,200 --> 00:24:07,760 Speaker 4: So a lot of the pharma super manufacturers they're trying 491 00:24:07,760 --> 00:24:10,240 Speaker 4: to ramp up supply, much like we did, you know, 492 00:24:10,359 --> 00:24:12,520 Speaker 4: during the COVID and the vaccines. 493 00:24:12,520 --> 00:24:14,800 Speaker 2: But it's just gonna take the time next. 494 00:24:14,440 --> 00:24:16,320 Speaker 8: All right, Wall Street Journal that's where we going next. 495 00:24:16,560 --> 00:24:20,120 Speaker 8: The number of private equity firms owned by women minorities, well, 496 00:24:20,160 --> 00:24:22,680 Speaker 8: that's had a record raising capital the last year. It's 497 00:24:22,760 --> 00:24:25,800 Speaker 8: starting to downfall, starting to starting to dwindle for their 498 00:24:25,800 --> 00:24:29,000 Speaker 8: fundraising goals. This it was a report from investment firm 499 00:24:29,080 --> 00:24:32,320 Speaker 8: Fairview Capital Partners. So they say that in group of 500 00:24:32,320 --> 00:24:34,840 Speaker 8: firms are diverse fying groups, it's running into the toughest 501 00:24:34,880 --> 00:24:37,920 Speaker 8: market conditions. So some of those sub segments. Here's who's 502 00:24:37,920 --> 00:24:40,200 Speaker 8: seeing a decline. It's the number of funds being raised 503 00:24:40,200 --> 00:24:43,720 Speaker 8: by Black Asian American women who owned firms last year, 504 00:24:43,760 --> 00:24:46,560 Speaker 8: that's shrank for the first time. And then women minority 505 00:24:46,600 --> 00:24:50,200 Speaker 8: own funds their overall have started to decrease their fundraising targets. 506 00:24:50,280 --> 00:24:52,520 Speaker 8: And the reason they're saying their concern is because bringing 507 00:24:52,560 --> 00:24:55,320 Speaker 8: diversity into venture, they're saying, is going to help you know, 508 00:24:55,359 --> 00:24:57,880 Speaker 8: these overlook segments. So that's why this is a concern 509 00:24:58,560 --> 00:25:00,000 Speaker 8: for them. But they're starting to fall off. 510 00:25:00,240 --> 00:25:00,800 Speaker 6: Yeah, i'mazing. 511 00:25:00,960 --> 00:25:04,840 Speaker 4: Just you know, as interest rates came moved higher, just 512 00:25:04,920 --> 00:25:08,600 Speaker 4: became harder to raise capital for everyone, including you know, 513 00:25:08,760 --> 00:25:11,280 Speaker 4: some of these minority groups. And so I guess it's 514 00:25:11,320 --> 00:25:14,520 Speaker 4: not surprising from that perspective, but you know, you hear 515 00:25:14,560 --> 00:25:17,560 Speaker 4: from the folks in the financial services industry. They're trying 516 00:25:17,600 --> 00:25:21,200 Speaker 4: to be supportive of diversity across all across the industry. 517 00:25:21,200 --> 00:25:23,720 Speaker 2: But it's tough. It always has been, quite. 518 00:25:23,560 --> 00:25:25,040 Speaker 8: Frankly, most finely. 519 00:25:25,119 --> 00:25:25,639 Speaker 2: All right, what else? 520 00:25:26,000 --> 00:25:26,119 Speaker 7: Right? 521 00:25:26,160 --> 00:25:28,919 Speaker 8: So we got some tech here Meta we have the 522 00:25:28,960 --> 00:25:33,400 Speaker 8: first true augmented reality glasses could be unveiled this fall, 523 00:25:34,160 --> 00:25:37,600 Speaker 8: just when you've got the vision pro right, Okay, this 524 00:25:37,760 --> 00:25:41,720 Speaker 8: it's an internal project to referred to as Orion. It's 525 00:25:41,800 --> 00:25:44,480 Speaker 8: different from metas they have the ray band smart glasses, 526 00:25:44,520 --> 00:25:46,720 Speaker 8: it's different from It's not like what you're wearing Thomas 527 00:25:47,480 --> 00:25:52,879 Speaker 8: got toes. These are a little bit thicker. They're different 528 00:25:52,880 --> 00:25:55,880 Speaker 8: from the Quest headsets too. So they're kind of going 529 00:25:55,920 --> 00:25:59,000 Speaker 8: back to the whole Meta thing. It seems like it's 530 00:25:59,040 --> 00:26:01,479 Speaker 8: been in the work for so years under their Meta's 531 00:26:01,600 --> 00:26:05,240 Speaker 8: Reality Labs division. No word on the cost of it, 532 00:26:05,359 --> 00:26:07,480 Speaker 8: but you know this is from Business Insider. They're saying 533 00:26:07,520 --> 00:26:10,120 Speaker 8: it's going to be unveiled during their annual Connect conference 534 00:26:10,720 --> 00:26:13,040 Speaker 8: that comes out this fall, so we'll see. 535 00:26:13,080 --> 00:26:13,119 Speaker 1: No. 536 00:26:13,480 --> 00:26:17,080 Speaker 4: I mean, the stock has worked, The stock has worked dramatic. 537 00:26:17,119 --> 00:26:19,200 Speaker 4: It's up one hundred and eighty four percent over the 538 00:26:19,240 --> 00:26:23,440 Speaker 4: past twelve months, primarily because they're not talking about the metaverse. 539 00:26:23,520 --> 00:26:26,320 Speaker 4: 're talking about cost cutting, driving profitability of the core 540 00:26:26,359 --> 00:26:30,720 Speaker 4: advertising business, not letting zuck talk about the metaverse. That's 541 00:26:30,760 --> 00:26:31,760 Speaker 4: why the stock's working. 542 00:26:31,800 --> 00:26:34,280 Speaker 2: So are going to bring it? 543 00:26:34,520 --> 00:26:38,800 Speaker 1: You actually hear music with the glasses? No, your kids, 544 00:26:39,800 --> 00:26:42,120 Speaker 1: you know, I mean, like, you know, Lisa walks around 545 00:26:42,119 --> 00:26:45,880 Speaker 1: with the AirPods. Cool kids, But do the glasses really 546 00:26:45,920 --> 00:26:47,880 Speaker 1: like give you good fidelity. 547 00:26:47,800 --> 00:26:50,560 Speaker 8: They're supposed I mean, Mark Zuckworth, he posted a photo 548 00:26:50,600 --> 00:26:52,520 Speaker 8: on threads. You know, we had them in the background, 549 00:26:52,640 --> 00:26:55,960 Speaker 8: so it's they're there. There are threads, Yes, threads. 550 00:26:55,960 --> 00:26:56,680 Speaker 3: That's the other thing. 551 00:26:56,680 --> 00:26:59,280 Speaker 4: It's still on my phone, by the way, because that 552 00:26:59,359 --> 00:27:01,800 Speaker 4: was the thing for a week, literally a week. 553 00:27:01,920 --> 00:27:05,080 Speaker 8: Yeah, and for a week. It's kind of a social blurb. 554 00:27:05,320 --> 00:27:07,680 Speaker 4: It's not there, no social thing. 555 00:27:08,880 --> 00:27:09,159 Speaker 2: All right. 556 00:27:09,280 --> 00:27:12,159 Speaker 8: One last thing before we go. This is a this 557 00:27:12,280 --> 00:27:15,600 Speaker 8: is a doozy Wall Street journal. The see through pants 558 00:27:15,640 --> 00:27:21,119 Speaker 8: scare of the MLB Spring training. Okay, so the US, yes, 559 00:27:21,600 --> 00:27:25,239 Speaker 8: apparently they're they're lightweight and lightweight and breatheable. But that 560 00:27:25,320 --> 00:27:27,679 Speaker 8: causes an issue because the baseball players are worried that 561 00:27:27,720 --> 00:27:31,439 Speaker 8: the uniforms are too sheer. They're revealing on the body. 562 00:27:31,560 --> 00:27:33,119 Speaker 8: You know, the tucked in jersey tails, you know how 563 00:27:33,119 --> 00:27:34,960 Speaker 8: they do that. It makes it look like they're wearing 564 00:27:35,040 --> 00:27:37,880 Speaker 8: a diaper. So they're not very excepted. This is apparently 565 00:27:37,960 --> 00:27:42,680 Speaker 8: Nike's new vapor premiere line. It's like sweat wicking technology, 566 00:27:42,840 --> 00:27:45,960 Speaker 8: recycled yards, supposed to be lightweight. You know, it's hot 567 00:27:45,960 --> 00:27:46,840 Speaker 8: out where they are. 568 00:27:46,880 --> 00:27:48,760 Speaker 2: I have no idea what they're thinking. 569 00:27:49,359 --> 00:27:49,639 Speaker 8: I have. 570 00:27:50,440 --> 00:27:52,880 Speaker 1: There was one season I believe in the NHL where 571 00:27:52,920 --> 00:27:54,359 Speaker 1: they did something as stupid as this. 572 00:27:54,840 --> 00:27:57,600 Speaker 2: Is, years and years and years ago. Ye, just fix it, 573 00:27:58,119 --> 00:27:59,640 Speaker 2: and I understand, we don't want to go back. 574 00:28:00,600 --> 00:28:03,680 Speaker 1: I had this is Chilsten's drugs a long time ago. 575 00:28:04,240 --> 00:28:07,000 Speaker 1: I had a Little League uniform that if I was 576 00:28:07,040 --> 00:28:08,679 Speaker 1: thrown into water, I would have drowned. 577 00:28:08,840 --> 00:28:12,480 Speaker 2: It was so thick it was wool or whatever. I 578 00:28:12,520 --> 00:28:14,280 Speaker 2: was like, what, this doesn't feel like a uniform. 579 00:28:14,280 --> 00:28:16,760 Speaker 8: Well, it's like out of a Seinfeld episode. You remember 580 00:28:16,800 --> 00:28:20,720 Speaker 8: George Constanzo when he convinced okay, you know Steinbrenner, to 581 00:28:20,800 --> 00:28:23,600 Speaker 8: change the uniforms, and they. 582 00:28:22,640 --> 00:28:26,600 Speaker 1: Here, baby, you can find me under the lights. Diamonds 583 00:28:26,720 --> 00:28:29,960 Speaker 1: under my eyes turn the rhythm up. Don't you want 584 00:28:30,000 --> 00:28:32,879 Speaker 1: to just come along for the ride. I'm I the 585 00:28:32,880 --> 00:28:35,680 Speaker 1: only one in the planet who hasn't seen the Barbie movie. 586 00:28:36,640 --> 00:28:39,160 Speaker 2: Me too, you haven't segned? What do you think? 587 00:28:40,120 --> 00:28:42,200 Speaker 8: I thought it was okay, that's what I daughter like. 588 00:28:42,560 --> 00:28:44,960 Speaker 8: My daughter really liked it. It's already girl power. 589 00:28:45,040 --> 00:28:46,360 Speaker 4: Steel is a huge fan. 590 00:28:46,520 --> 00:28:46,680 Speaker 5: Yeah. 591 00:28:46,760 --> 00:28:48,160 Speaker 8: Yeah, it's a very girl power woman. 592 00:28:49,720 --> 00:28:51,880 Speaker 4: I mean, you know, she picked it over, picked it 593 00:28:52,120 --> 00:28:56,360 Speaker 4: off armor, the whole female empowerment thing, that's what it is. 594 00:28:56,440 --> 00:28:57,920 Speaker 1: And at my point here where I got to start 595 00:28:57,920 --> 00:29:01,600 Speaker 1: watching Oscar movies just to keep so I can do 596 00:29:01,760 --> 00:29:02,560 Speaker 1: the job. 597 00:29:02,640 --> 00:29:06,120 Speaker 2: I mean, you know, you do you do the Barbie movie. 598 00:29:05,800 --> 00:29:08,480 Speaker 1: And I mean Ken took the you know, Ken's like 599 00:29:08,680 --> 00:29:10,720 Speaker 1: in the Oscars and all that. 600 00:29:10,800 --> 00:29:12,920 Speaker 2: But there's doll like dua lipa, I mean, you know, 601 00:29:13,080 --> 00:29:13,680 Speaker 2: dance to night. 602 00:29:14,480 --> 00:29:17,280 Speaker 1: We're gonna feature We're gonna feature lots of Oscar themes 603 00:29:17,280 --> 00:29:21,120 Speaker 1: here in the coming days. 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