1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,200 --> 00:00:13,840 Speaker 2: This is a breaking news update from Bloomberg, instant reaction 3 00:00:14,120 --> 00:00:17,959 Speaker 2: and analysis from our three thousand journalists and analysts around 4 00:00:18,000 --> 00:00:18,480 Speaker 2: the world. 5 00:00:19,480 --> 00:00:23,400 Speaker 3: I'm Alexis Christophers, and these numbers just crossing the Bloomberg Now. 6 00:00:23,440 --> 00:00:26,880 Speaker 3: The Labor Department says the US economy lost ninety two 7 00:00:27,000 --> 00:00:31,280 Speaker 3: thousand jobs in February. That is worse than expected. We 8 00:00:31,280 --> 00:00:34,320 Speaker 3: were looking at an additional fifty five thousand jobs, and 9 00:00:34,360 --> 00:00:36,720 Speaker 3: of course this is compared to January, when we added 10 00:00:36,760 --> 00:00:40,160 Speaker 3: one hundred and thirty thousand jobs. The unemployment rate ticking 11 00:00:40,240 --> 00:00:42,440 Speaker 3: up to four point four percent of the estimate there 12 00:00:42,560 --> 00:00:44,879 Speaker 3: was four point three percent in the prior month was 13 00:00:44,920 --> 00:00:48,320 Speaker 3: four point three percent. Checking wages month over month up 14 00:00:48,360 --> 00:00:50,920 Speaker 3: slightly to four tenths of a percent, estimates were for 15 00:00:50,960 --> 00:00:54,480 Speaker 3: three tenths and earnings year over year also a bit hotter, 16 00:00:54,560 --> 00:00:57,880 Speaker 3: three point eight percent versus the three point seven percent expected. 17 00:00:57,880 --> 00:01:00,720 Speaker 3: But again the headline here the economy lost many more 18 00:01:00,800 --> 00:01:03,720 Speaker 3: jobs and expected ninety two thousand in the month of February. 19 00:01:04,319 --> 00:01:06,800 Speaker 3: Estimates were for fifty five thousand. We also just got 20 00:01:06,840 --> 00:01:09,720 Speaker 3: retail sales numbers out for the month of January and 21 00:01:09,760 --> 00:01:12,280 Speaker 3: they were down two tenths of a percent versus the 22 00:01:12,400 --> 00:01:16,080 Speaker 3: estimate of three tenths of a percent. As for market reaction, 23 00:01:16,640 --> 00:01:18,800 Speaker 3: it is swift. The Dow futures now down more than 24 00:01:18,800 --> 00:01:22,560 Speaker 3: four hundred points s and P futures off sixty four guys. 25 00:01:22,360 --> 00:01:26,160 Speaker 2: Claudia sam this as we continue with all of our 26 00:01:26,200 --> 00:01:29,119 Speaker 2: good work here. These are the kind of numbers, Claudia, 27 00:01:29,120 --> 00:01:33,600 Speaker 2: where amateurs like me go, okay, that means diminished GDP. 28 00:01:33,880 --> 00:01:36,760 Speaker 2: Is that correct that all of this sun's back to 29 00:01:36,880 --> 00:01:41,040 Speaker 2: a lesser real GDP where we're on the sum recession watch. 30 00:01:42,319 --> 00:01:46,279 Speaker 4: So not necessarily you know this so clearly these numbers 31 00:01:46,280 --> 00:01:48,640 Speaker 4: from February are not in like you know, checking the 32 00:01:48,680 --> 00:01:51,520 Speaker 4: box on signs of stabilization in the labor market. Right, 33 00:01:51,520 --> 00:01:53,680 Speaker 4: we're losing jobs and I'm glor ready ticked up. This 34 00:01:53,800 --> 00:01:57,560 Speaker 4: is not a good sign. This actually sits pretty consistently, 35 00:01:57,880 --> 00:02:00,120 Speaker 4: especially if you'll get the last three months with what 36 00:02:00,160 --> 00:02:03,000 Speaker 4: we saw all of last year. The US economy last 37 00:02:03,080 --> 00:02:07,280 Speaker 4: year created almost no jobs on net right, and at 38 00:02:07,280 --> 00:02:11,760 Speaker 4: the same time consumer spending increased business investment and create 39 00:02:11,840 --> 00:02:15,440 Speaker 4: GDP rows for the year on on trend right, it 40 00:02:15,480 --> 00:02:17,320 Speaker 4: may we can talk about concentration. 41 00:02:17,480 --> 00:02:19,160 Speaker 5: We can talk about what sectors. 42 00:02:18,720 --> 00:02:22,200 Speaker 4: It's in, but we have already been for a year 43 00:02:22,440 --> 00:02:27,560 Speaker 4: in a jobless expansion. So unfortunately, what the February data, 44 00:02:27,639 --> 00:02:31,160 Speaker 4: with this latest labor market data suggests is that's still 45 00:02:31,160 --> 00:02:33,320 Speaker 4: where we're at right And we have been looking for 46 00:02:33,360 --> 00:02:35,480 Speaker 4: signs that hiring was picking up, and you know that 47 00:02:35,639 --> 00:02:38,520 Speaker 4: January gave some The January employment report gave some signs 48 00:02:38,520 --> 00:02:41,239 Speaker 4: of that. January still is a really strong number, even 49 00:02:41,280 --> 00:02:43,919 Speaker 4: with down revisions. It's all, you know, it's close to 50 00:02:43,919 --> 00:02:46,560 Speaker 4: one hundred and thirty thousand still, But I mean, clearly, 51 00:02:46,720 --> 00:02:49,519 Speaker 4: to lose ninety thousand jobs on net in February is 52 00:02:49,560 --> 00:02:52,920 Speaker 4: a real problem, Claudia. Or it's a it's a we're 53 00:02:52,919 --> 00:02:53,960 Speaker 4: not creating jobs. 54 00:02:54,040 --> 00:02:54,720 Speaker 5: It's that question. 55 00:02:54,919 --> 00:02:57,120 Speaker 4: Is it a problem? That's a whole separate And this 56 00:02:57,160 --> 00:02:59,720 Speaker 4: has been a really difficult conversation to have. But we've 57 00:02:59,720 --> 00:03:01,880 Speaker 4: been in this for well over a year now. 58 00:03:02,760 --> 00:03:06,960 Speaker 6: So Claudia, what's it? What do we know about the 59 00:03:07,240 --> 00:03:10,440 Speaker 6: supply of labor? We know that this administration is effectively 60 00:03:10,440 --> 00:03:14,480 Speaker 6: closed down the border, reducing supply of labor to some industries, 61 00:03:14,919 --> 00:03:19,440 Speaker 6: you know, whether it be housing, construction, agricultural, hospitality. What 62 00:03:19,520 --> 00:03:21,320 Speaker 6: do we know with a year's worth of data here 63 00:03:21,560 --> 00:03:23,359 Speaker 6: as to the supply of labor. 64 00:03:23,760 --> 00:03:27,640 Speaker 4: Well, the estimates with immigration come in. It takes some time. 65 00:03:27,840 --> 00:03:31,080 Speaker 4: We have you know, updated estimates from the Census Bureau, 66 00:03:31,120 --> 00:03:34,040 Speaker 4: we have updated estimates from Congressional Budget Office. They're pulling 67 00:03:34,040 --> 00:03:36,080 Speaker 4: in a lot of different pieces of data. These are 68 00:03:36,120 --> 00:03:39,240 Speaker 4: still in flux, but it is very clear directionally, and 69 00:03:39,280 --> 00:03:41,840 Speaker 4: it's also very clear in terms of magnitudes. These are 70 00:03:42,040 --> 00:03:45,880 Speaker 4: large down shifts and immigration and immigrants have been kind 71 00:03:45,880 --> 00:03:49,800 Speaker 4: of on the margin additional workers in recent years. So 72 00:03:50,000 --> 00:03:52,760 Speaker 4: it does like directionally this makes sense, and I think 73 00:03:52,760 --> 00:03:55,840 Speaker 4: that is important to keep in context these shifts in 74 00:03:55,960 --> 00:03:58,400 Speaker 4: job creation going from you know, hundreds of thousands of 75 00:03:58,480 --> 00:04:01,720 Speaker 4: jobs created on net not that long ago, to not 76 00:04:01,760 --> 00:04:04,760 Speaker 4: creating any and if maybe even destroying jobs on net 77 00:04:04,760 --> 00:04:08,040 Speaker 4: in the US economy, Like that is a dramatic shift, 78 00:04:08,640 --> 00:04:11,800 Speaker 4: and the unemployment rate has drifted up I word, four 79 00:04:11,880 --> 00:04:14,400 Speaker 4: point four percent. So like we have to keep the 80 00:04:14,600 --> 00:04:18,200 Speaker 4: like the magnitudes and the drama on the payroll side. 81 00:04:18,240 --> 00:04:20,120 Speaker 4: It's not just about we can demand it is this 82 00:04:20,200 --> 00:04:23,240 Speaker 4: supply and that's a policy choice. But keep an eye 83 00:04:23,240 --> 00:04:25,360 Speaker 4: on like the unemployment rate has drifted up, and that 84 00:04:25,800 --> 00:04:27,680 Speaker 4: is there is still a problem. This is not just 85 00:04:27,720 --> 00:04:30,520 Speaker 4: about supply. We don't have enough demand for workers. 86 00:04:30,600 --> 00:04:33,000 Speaker 2: I mean, Claudia, do your point in a flat economy. 87 00:04:33,040 --> 00:04:35,200 Speaker 2: I just did a three month moving average, folks in 88 00:04:35,240 --> 00:04:37,080 Speaker 2: the back of my HP twelve c oh. 89 00:04:37,160 --> 00:04:37,400 Speaker 5: Yeah. 90 00:04:37,440 --> 00:04:41,120 Speaker 2: And the bottom line here is we've generated five tho 91 00:04:41,560 --> 00:04:45,640 Speaker 2: six hundred and sixty jobs over the last ninety days 92 00:04:45,680 --> 00:04:48,520 Speaker 2: per month. I mean that is I've never seen it. 93 00:04:48,640 --> 00:04:52,400 Speaker 2: That's like a flat economy. I have, Claudia quickly here. 94 00:04:52,520 --> 00:04:56,440 Speaker 2: I mean, there's a lot of negative statistics. Claudia, what 95 00:04:56,520 --> 00:04:59,920 Speaker 2: does a FED do with this information? If labor man? 96 00:05:01,040 --> 00:05:03,960 Speaker 4: So they're watching They're watching all of this very carefully. 97 00:05:04,080 --> 00:05:06,800 Speaker 4: I think the unemployment really does some a lot of 98 00:05:06,839 --> 00:05:09,600 Speaker 4: this up. The fact that you know, the unemployment rate 99 00:05:09,640 --> 00:05:11,680 Speaker 4: did tick up. We're still at low levels, but it 100 00:05:11,720 --> 00:05:14,960 Speaker 4: has been drifting up gradually. They're going to keep I mean, 101 00:05:15,040 --> 00:05:20,280 Speaker 4: this returns some attention to the downside risks to employment, right, 102 00:05:20,320 --> 00:05:23,240 Speaker 4: it's all about the employment risks. The inflation risks today 103 00:05:23,240 --> 00:05:25,599 Speaker 4: brought some of those employment risks back into focus. But 104 00:05:25,640 --> 00:05:28,919 Speaker 4: this is still largely a labor market that looks like 105 00:05:29,040 --> 00:05:33,279 Speaker 4: it's working relatively well. Not a recessionary dynamic, but a 106 00:05:33,520 --> 00:05:35,160 Speaker 4: very unusual dynamic. 107 00:05:35,800 --> 00:05:38,919 Speaker 2: Okay, it's unusual, but I mean there's a lot of 108 00:05:38,960 --> 00:05:40,880 Speaker 2: people flat on their back in this country. 109 00:05:40,920 --> 00:05:43,280 Speaker 5: Claudia saying, cut interest rates. 110 00:05:43,760 --> 00:05:48,279 Speaker 2: If Waller in company, goals be in company, Hasset in company, 111 00:05:48,560 --> 00:05:52,080 Speaker 2: if they cut interest rates, does that help the labor 112 00:05:52,120 --> 00:05:54,120 Speaker 2: economy or is it now removed? 113 00:05:54,839 --> 00:05:58,839 Speaker 4: Cutting interest rates is a way to stimulate demand, whether 114 00:05:58,920 --> 00:06:02,760 Speaker 4: that's you know, consumer is going out making bigger purchases 115 00:06:02,760 --> 00:06:05,000 Speaker 4: they have to take out, you know, on their credit cards, 116 00:06:05,120 --> 00:06:09,040 Speaker 4: buying a home, businesses making investment equipment and software like 117 00:06:09,920 --> 00:06:11,720 Speaker 4: it's a channel that can help. 118 00:06:11,760 --> 00:06:13,200 Speaker 5: It is not all powerful. 119 00:06:13,440 --> 00:06:16,120 Speaker 4: It's a very blunt tool, but you know that's the 120 00:06:16,120 --> 00:06:18,680 Speaker 4: tool that fed's got, and it is very clear from 121 00:06:18,720 --> 00:06:20,960 Speaker 4: this power FED they will defend the labor market if 122 00:06:20,960 --> 00:06:21,440 Speaker 4: they need to. 123 00:06:21,960 --> 00:06:24,680 Speaker 2: Doctor Sum, thank you so much for supporting us in 124 00:06:24,720 --> 00:06:28,120 Speaker 2: your note and all your work with this. Claudia Sum 125 00:06:28,520 --> 00:06:33,880 Speaker 2: with us this morning with New Century Advisors, we said 126 00:06:33,880 --> 00:06:36,520 Speaker 2: good morning here with the futures, negative forty went to 127 00:06:36,600 --> 00:06:40,360 Speaker 2: negative sixty. Now they're back negative fifty two on futures. 128 00:06:40,360 --> 00:06:43,160 Speaker 2: The vix out two big figures twenty five point a two. 129 00:06:43,279 --> 00:06:45,880 Speaker 2: Be sure Nadia doesn't leave the studio here just to 130 00:06:45,920 --> 00:06:48,120 Speaker 2: see the vix out that much and go, I gotta go. 131 00:06:48,480 --> 00:06:51,880 Speaker 5: Bloomberg excuvinglet's this morning, this job's day. It's brunching by 132 00:06:52,000 --> 00:06:52,880 Speaker 5: ibk R. 133 00:06:53,440 --> 00:06:57,960 Speaker 2: Well, the year over year change in the USCPI will 134 00:06:58,320 --> 00:07:01,520 Speaker 2: exceed two point six percent this February. 135 00:07:01,800 --> 00:07:02,919 Speaker 5: Turn your view into. 136 00:07:02,800 --> 00:07:05,839 Speaker 2: A trade at I b k R dot com slash 137 00:07:05,920 --> 00:07:10,520 Speaker 2: forecast last trading day. It is March eleventh. One of 138 00:07:10,600 --> 00:07:15,280 Speaker 2: my favorite things. It's like the Miserable Winter. It was 139 00:07:15,320 --> 00:07:19,600 Speaker 2: a great song Arlo Guthrie sang it Northampton Winter. That's 140 00:07:19,600 --> 00:07:21,120 Speaker 2: what it was like at Smith College. 141 00:07:21,240 --> 00:07:22,000 Speaker 5: Joining us now. 142 00:07:22,280 --> 00:07:25,640 Speaker 2: Nattie lovel here from the Union Bank of Switzerland, Israel. 143 00:07:25,720 --> 00:07:28,560 Speaker 2: What was the coldest morning at Smith College? I mean 144 00:07:28,600 --> 00:07:31,080 Speaker 2: there must have been one where you just said, this 145 00:07:31,160 --> 00:07:32,200 Speaker 2: is terrible. 146 00:07:32,360 --> 00:07:35,920 Speaker 1: Terrible, especially since I'm from an island, so it was 147 00:07:36,000 --> 00:07:36,560 Speaker 1: quite brutal. 148 00:07:37,600 --> 00:07:39,360 Speaker 5: You were not used to it. 149 00:07:39,600 --> 00:07:41,360 Speaker 1: I was not used to it at all, so I 150 00:07:41,840 --> 00:07:42,320 Speaker 1: was just it. 151 00:07:42,600 --> 00:07:45,000 Speaker 5: You were forced to study as well. Thank you so 152 00:07:45,080 --> 00:07:45,760 Speaker 5: much for coming in. 153 00:07:46,080 --> 00:07:50,120 Speaker 2: I just with a geopolitical shock and with this economic data, 154 00:07:51,040 --> 00:07:56,200 Speaker 2: someone with a measured view do they just sit back 155 00:07:56,440 --> 00:07:59,320 Speaker 2: and watch the show unfold, or is this a point 156 00:07:59,680 --> 00:08:01,600 Speaker 2: of action for ubs? 157 00:08:02,360 --> 00:08:04,920 Speaker 1: You know, I'm still in a studio idea and escape. 158 00:08:04,920 --> 00:08:06,880 Speaker 1: Although when I did see the numbers, I said, oh, 159 00:08:06,960 --> 00:08:10,680 Speaker 1: this is not a good combination right now, particularly, you know, 160 00:08:10,760 --> 00:08:13,880 Speaker 1: because the narrative had been that there was stabilization in 161 00:08:13,920 --> 00:08:16,920 Speaker 1: the labor market, and then this is causing questions to that. 162 00:08:17,080 --> 00:08:19,040 Speaker 1: And it's a little surprise. And just given the data 163 00:08:19,040 --> 00:08:22,040 Speaker 1: that had been coming through initial jobless claim and also 164 00:08:22,080 --> 00:08:24,200 Speaker 1: some of just a survey page book said that there 165 00:08:24,240 --> 00:08:26,640 Speaker 1: was stabilization. So this is a little bit perplexing and 166 00:08:26,680 --> 00:08:29,160 Speaker 1: put the FED in an opposition at the same time 167 00:08:29,200 --> 00:08:33,560 Speaker 1: that you have inflation risk rise and geopolitical tension. But 168 00:08:33,920 --> 00:08:36,320 Speaker 1: it's I would say, at the core, you know, it's 169 00:08:36,320 --> 00:08:38,880 Speaker 1: too early for us to fundamentally change of you and 170 00:08:38,920 --> 00:08:41,240 Speaker 1: so sort of stay the course, stay invested in this. 171 00:08:41,640 --> 00:08:44,680 Speaker 1: Do we have to reassess some potential rise and risks 172 00:08:44,720 --> 00:08:48,080 Speaker 1: around where markets could go in the next few months. Absolutely, 173 00:08:48,480 --> 00:08:50,000 Speaker 1: you know, in terms of like do we want to 174 00:08:50,040 --> 00:08:52,199 Speaker 1: take on more defensive position and we're not quite there, 175 00:08:52,200 --> 00:08:53,880 Speaker 1: and yet we need to see a little bit more 176 00:08:53,960 --> 00:08:57,400 Speaker 1: data because we know that there's some discal locations and 177 00:08:57,559 --> 00:09:00,280 Speaker 1: pucuriarity that can also happen in the labor market. 178 00:09:00,760 --> 00:09:01,080 Speaker 5: Nattie. 179 00:09:01,080 --> 00:09:03,280 Speaker 6: One of the challenges I guess for this market is 180 00:09:03,280 --> 00:09:06,640 Speaker 6: that it's been led for the longest time by technology 181 00:09:06,640 --> 00:09:09,559 Speaker 6: information services. The names we all know, maybe the mag seven, 182 00:09:09,600 --> 00:09:12,960 Speaker 6: but broader than that, those stories are now under pressure. 183 00:09:13,000 --> 00:09:14,760 Speaker 6: The AI story is kind of morphed a little bit, 184 00:09:14,760 --> 00:09:17,199 Speaker 6: and it's not just a net positive for AI. Now 185 00:09:17,200 --> 00:09:19,640 Speaker 6: people are asking tough questions, how do you think about 186 00:09:20,160 --> 00:09:22,200 Speaker 6: tech as a leader in this market. 187 00:09:22,679 --> 00:09:24,960 Speaker 1: Uh, you know, we did down gray tech and comm 188 00:09:24,960 --> 00:09:27,800 Speaker 1: services to our neutral So that's an indication to us 189 00:09:27,880 --> 00:09:30,640 Speaker 1: that is no longer going to be a leader of 190 00:09:30,679 --> 00:09:32,960 Speaker 1: the market. Now, that's not to say that is going 191 00:09:33,040 --> 00:09:35,480 Speaker 1: to continue to drag down the market. We do hope 192 00:09:35,480 --> 00:09:39,000 Speaker 1: to see some stabilization in tech. You know, the AI 193 00:09:39,080 --> 00:09:41,920 Speaker 1: tails are still there structurally, but you'll obviously you see 194 00:09:42,000 --> 00:09:43,680 Speaker 1: volatility pick up and so you have to be a 195 00:09:43,679 --> 00:09:46,000 Speaker 1: bit more selective in this area. It's not so much 196 00:09:46,000 --> 00:09:48,240 Speaker 1: about the sectors. The way how you position across the 197 00:09:48,320 --> 00:09:51,880 Speaker 1: AI value change. That's a distinction that you're seeing because 198 00:09:51,920 --> 00:09:54,920 Speaker 1: you know the beneficiarrea of the capex spending has really 199 00:09:54,960 --> 00:09:58,600 Speaker 1: been the semiconductors as well as and then memories. Software 200 00:09:58,640 --> 00:10:00,760 Speaker 1: is under pressure and so we I think that it's 201 00:10:00,800 --> 00:10:03,800 Speaker 1: about more about you know, positioning properly across AI valution 202 00:10:03,920 --> 00:10:07,240 Speaker 1: and not so much within the not so much about 203 00:10:07,240 --> 00:10:08,040 Speaker 1: the sect as a whole. 204 00:10:08,240 --> 00:10:11,160 Speaker 2: Not in lovel with this ubs growth of global wealth 205 00:10:11,320 --> 00:10:14,720 Speaker 2: management you published, Thank you for publishing your target here 206 00:10:14,800 --> 00:10:15,480 Speaker 2: for December. 207 00:10:15,760 --> 00:10:19,520 Speaker 5: You're in nine months away and it's a double digit view. 208 00:10:19,679 --> 00:10:21,480 Speaker 5: There's an enthusiasm here. 209 00:10:22,160 --> 00:10:26,400 Speaker 2: How do you acquire shares given the hour by hour 210 00:10:26,600 --> 00:10:31,520 Speaker 2: buffeting we're getting right now Brent crude eighty nine dollars 211 00:10:31,600 --> 00:10:35,560 Speaker 2: twenty nine cents, But you're basically saying into the next year, 212 00:10:36,040 --> 00:10:37,520 Speaker 2: acquire shares. 213 00:10:37,200 --> 00:10:38,840 Speaker 5: Right basically, you know. 214 00:10:39,160 --> 00:10:42,640 Speaker 1: And I think it's because, again we know, geopolitical rates 215 00:10:42,640 --> 00:10:44,560 Speaker 1: and shocks so I tend to be short lived and 216 00:10:44,559 --> 00:10:46,920 Speaker 1: while they can cause them near term volatility, well sort 217 00:10:46,920 --> 00:10:49,080 Speaker 1: of see how things play out in the next couple 218 00:10:49,120 --> 00:10:51,640 Speaker 1: of weeks in the Strait of Hormus and if if 219 00:10:51,679 --> 00:10:54,760 Speaker 1: oil the flow of oil can resume in a meaningful way. 220 00:10:54,880 --> 00:10:56,800 Speaker 1: We think, if that happens, and you should see some 221 00:10:56,840 --> 00:11:00,200 Speaker 1: normalization in energy prices, and that's why we think that 222 00:11:00,320 --> 00:11:04,360 Speaker 1: ultimately crude oil brent will get back down to sixty 223 00:11:04,360 --> 00:11:06,960 Speaker 1: seven dollars by the end of the year because there 224 00:11:07,080 --> 00:11:10,680 Speaker 1: is excess capacity in the system sixty seven dollars brent 225 00:11:10,840 --> 00:11:13,480 Speaker 1: by the end of the year. Because we do think 226 00:11:13,520 --> 00:11:16,000 Speaker 1: that there is you know, capacity in the system. What's 227 00:11:16,000 --> 00:11:18,480 Speaker 1: caused and despite we know is just concerned about the 228 00:11:18,520 --> 00:11:21,760 Speaker 1: disruption near term, and we know that geopolitical risk markets 229 00:11:21,760 --> 00:11:24,520 Speaker 1: tent to bounce back. Now again we'll see where you know, 230 00:11:24,600 --> 00:11:27,079 Speaker 1: GDP kind of comes in. We know that there's consumer 231 00:11:27,160 --> 00:11:30,880 Speaker 1: stimilus coming from the tax returns. Let's continue to watch 232 00:11:30,920 --> 00:11:34,760 Speaker 1: the labor markets. And so when we look at the picture, now, yes, 233 00:11:34,840 --> 00:11:38,000 Speaker 1: this job reports does you know, cause us for a 234 00:11:38,120 --> 00:11:40,280 Speaker 1: pause to reassess a few things. But when we look 235 00:11:40,320 --> 00:11:43,120 Speaker 1: at the picture collectively, even before today, it felt like 236 00:11:43,160 --> 00:11:46,679 Speaker 1: this economy was on pace for above trend GDP growth 237 00:11:46,679 --> 00:11:48,560 Speaker 1: and that's still our core view. And so if you 238 00:11:48,640 --> 00:11:51,240 Speaker 1: have that as well as earnings growth at double digits 239 00:11:51,400 --> 00:11:53,040 Speaker 1: and the broad in and out we all having that 240 00:11:53,120 --> 00:11:55,600 Speaker 1: broad in out right, I think you can get you know, 241 00:11:55,720 --> 00:11:57,480 Speaker 1: to double digits by the end of the year. And 242 00:11:57,520 --> 00:12:01,720 Speaker 1: we've seen that in past periods. Where you've geopolitical shocks exact. 243 00:12:01,520 --> 00:12:03,920 Speaker 2: The first time Nattia level Wood in the Iron Horse 244 00:12:04,000 --> 00:12:09,559 Speaker 2: Cafe in Northampton. Well, I've never seen a market slash 245 00:12:09,559 --> 00:12:14,640 Speaker 2: economy like this. It's nuts taking the labor economy. We're 246 00:12:14,679 --> 00:12:18,079 Speaker 2: flat on our back. That's the summation. And the GDP 247 00:12:18,280 --> 00:12:18,960 Speaker 2: numbers are. 248 00:12:18,840 --> 00:12:21,679 Speaker 6: Like shocking, shockingly they're hanging in there. I mean, so 249 00:12:22,080 --> 00:12:26,080 Speaker 6: we have seen a rotation starting lay last year out 250 00:12:26,080 --> 00:12:27,719 Speaker 6: of some of the tech names that you were talking 251 00:12:27,720 --> 00:12:30,680 Speaker 6: about into some more industrials and maybe small and mid cap. 252 00:12:30,760 --> 00:12:32,800 Speaker 6: Is that something you guys embraced. You think that's a 253 00:12:32,840 --> 00:12:34,360 Speaker 6: longer term trend we. 254 00:12:34,400 --> 00:12:36,559 Speaker 1: Have and you know we did upgrade industrials in the 255 00:12:36,600 --> 00:12:39,560 Speaker 1: last month or so, and that really again it's like 256 00:12:39,880 --> 00:12:43,120 Speaker 1: planning into that you know cyclical uptick that we do expect. 257 00:12:43,240 --> 00:12:46,760 Speaker 1: You've seen you've seen in em you know, manufacturing services 258 00:12:46,880 --> 00:12:50,880 Speaker 1: all above expectations in the most recent numbers above fifty. 259 00:12:51,280 --> 00:12:54,000 Speaker 1: And then you also have you know, defense spending that 260 00:12:54,040 --> 00:12:57,720 Speaker 1: we expect to continue to be robust and increase. And 261 00:12:57,760 --> 00:13:01,720 Speaker 1: then the structural growth story that's how industrustals is the 262 00:13:02,080 --> 00:13:05,080 Speaker 1: electrification story and a build out of electrocal growth, grace 263 00:13:05,120 --> 00:13:08,000 Speaker 1: and monetization and around AI and so we do think 264 00:13:08,040 --> 00:13:10,640 Speaker 1: that that cyclical story feels like it's still intact, and 265 00:13:10,720 --> 00:13:13,480 Speaker 1: you want to have some exposure balance in the portfolio, 266 00:13:13,640 --> 00:13:16,080 Speaker 1: not just structural growth, but also some cycicle. 267 00:13:16,040 --> 00:13:17,320 Speaker 5: Can you come in on Sunday? 268 00:13:18,080 --> 00:13:21,520 Speaker 1: You know, Tom, You know I was working this past Sunday, 269 00:13:21,720 --> 00:13:25,040 Speaker 1: so I can't be here, but I won't be working. 270 00:13:26,200 --> 00:13:28,280 Speaker 5: I'm going to just rip up the script right now. 271 00:13:28,320 --> 00:13:30,480 Speaker 2: Not a level with this out of Smith College and 272 00:13:30,520 --> 00:13:35,839 Speaker 2: I buster chops, but we're talking double major mathematics physics. 273 00:13:36,360 --> 00:13:40,720 Speaker 5: I want you to talk to everyone listening across. 274 00:13:40,200 --> 00:13:46,480 Speaker 2: This nation about the motivation necessary, all the biases against 275 00:13:46,520 --> 00:13:50,240 Speaker 2: girls doing Stemina has improved, it's gotten better. 276 00:13:50,600 --> 00:13:54,360 Speaker 5: What was it like when you chose to do mathematics 277 00:13:54,640 --> 00:13:55,280 Speaker 5: in physics? 278 00:13:56,120 --> 00:13:58,480 Speaker 1: You know, thankfully I did it at Smith which was 279 00:13:58,480 --> 00:14:01,960 Speaker 1: a quite supportive environment and you know, being able to 280 00:14:02,000 --> 00:14:05,480 Speaker 1: look up to other women physicists at the time at 281 00:14:05,480 --> 00:14:08,800 Speaker 1: Smith College. And I think that we continue to break 282 00:14:08,840 --> 00:14:12,240 Speaker 1: those glass ceilings and just to show that you know, 283 00:14:12,320 --> 00:14:16,560 Speaker 1: women just like anybody else and have the chops to 284 00:14:16,640 --> 00:14:19,720 Speaker 1: do it. And I think that that's a great story. 285 00:14:19,960 --> 00:14:22,880 Speaker 5: Nurturing it seriously, and I adore Mount holy O. 286 00:14:23,080 --> 00:14:25,920 Speaker 2: That's a school next Duke, folks, for thease you don't 287 00:14:25,960 --> 00:14:29,160 Speaker 2: know this, Duke Chapel Hill is sort of like Mount 288 00:14:29,200 --> 00:14:33,000 Speaker 2: holy Oke Smith as well. But there's something about and 289 00:14:33,360 --> 00:14:35,520 Speaker 2: I'm talking my book here, folks, you after thought did 290 00:14:35,560 --> 00:14:38,840 Speaker 2: the all girls thing. There's something about the nurturing environment. 291 00:14:39,240 --> 00:14:42,240 Speaker 2: It's okay for you to do Newtonian physics in an 292 00:14:42,240 --> 00:14:43,320 Speaker 2: all girl environment. 293 00:14:43,560 --> 00:14:45,800 Speaker 1: Well, I think it's okay to do it anywhere, right, 294 00:14:45,960 --> 00:14:48,840 Speaker 1: but yes, you it can be a bit more encouraged 295 00:14:48,840 --> 00:14:51,320 Speaker 1: in one year in classroom with other women. I mean 296 00:14:51,320 --> 00:14:53,840 Speaker 1: people people like to look up what to look up 297 00:14:53,880 --> 00:14:55,800 Speaker 1: and to see what, you know, someone that looks like 298 00:14:55,840 --> 00:14:57,320 Speaker 1: them doing the things that they want to do. 299 00:14:57,400 --> 00:15:00,000 Speaker 2: When you're in ubs and there with some smooth investment 300 00:15:00,080 --> 00:15:03,800 Speaker 2: a banker who took marketing, it's you know, some school. 301 00:15:03,840 --> 00:15:05,680 Speaker 2: They're looking at you like and you're like, get you 302 00:15:05,840 --> 00:15:09,880 Speaker 2: shut up. I mean, what's it like bouncing off of 303 00:15:10,000 --> 00:15:12,520 Speaker 2: global Wall Street with your academic background. 304 00:15:13,000 --> 00:15:17,000 Speaker 1: Well, thankfully at ubs, but particularly in the chief investment office, 305 00:15:17,120 --> 00:15:19,120 Speaker 1: I would say a lot of us do have a 306 00:15:19,240 --> 00:15:20,040 Speaker 1: very strong. 307 00:15:19,760 --> 00:15:22,200 Speaker 5: Analytical post round stuff. 308 00:15:22,320 --> 00:15:24,600 Speaker 1: So that is definitely the case, and I wouldn't even 309 00:15:24,600 --> 00:15:26,440 Speaker 1: say where I started my career. One of the things 310 00:15:26,480 --> 00:15:29,240 Speaker 1: that attracted you know, at the time I started a 311 00:15:29,280 --> 00:15:32,840 Speaker 1: Capital Group manager those of the American funds and again 312 00:15:33,280 --> 00:15:36,480 Speaker 1: strong math background. Most people did have that, so again 313 00:15:36,960 --> 00:15:37,920 Speaker 1: encouraging environment. 314 00:15:38,120 --> 00:15:40,800 Speaker 2: Robin Wiggles is a great write up on Capitol Group 315 00:15:40,840 --> 00:15:42,880 Speaker 2: and active again really struggling. 316 00:15:42,960 --> 00:15:45,080 Speaker 5: The Capitol Group doing better. 317 00:15:44,880 --> 00:15:47,920 Speaker 6: Than most series LA like TCW and Capital Group. Those 318 00:15:47,920 --> 00:15:49,360 Speaker 6: are your two anchor meetings in LA. 319 00:15:49,560 --> 00:15:52,320 Speaker 1: It was I needed to go to warm Weather after Smith. 320 00:15:52,920 --> 00:15:56,840 Speaker 2: Exactly smart Dodi, Thank you so much, Doddia Lobel from 321 00:15:56,880 --> 00:15:59,080 Speaker 2: the Union Bank of Switzer and I'm sorry, I'm not 322 00:15:59,200 --> 00:16:01,760 Speaker 2: going to all always. We'll call it the Union Bank 323 00:16:01,800 --> 00:16:05,440 Speaker 2: of Switzerland ubs with us today. Thank you, Thank you 324 00:16:05,480 --> 00:16:08,800 Speaker 2: so much, Nadia for coming in on jobs Day, the 325 00:16:08,840 --> 00:16:11,920 Speaker 2: markets to tier eight Nattia level, driving the market lower 326 00:16:12,280 --> 00:16:15,960 Speaker 2: negative seventy seven on a future's we're ought three big 327 00:16:16,000 --> 00:16:21,360 Speaker 2: figures on the vics twenty six point nine zero, the 328 00:16:21,400 --> 00:16:24,320 Speaker 2: oil eighty nine dollars Brent crude almost up to that 329 00:16:24,440 --> 00:16:26,920 Speaker 2: ninety level right now, up four dollars fifty five. 330 00:16:27,120 --> 00:16:28,480 Speaker 5: We're going to get that at any moment. 331 00:16:28,560 --> 00:16:31,720 Speaker 2: Let me go over so one, mister Bloomberg taught me 332 00:16:31,760 --> 00:16:36,760 Speaker 2: how to do this, so one commodity gip is that's 333 00:16:36,760 --> 00:16:39,520 Speaker 2: about all I know. But then up we go and 334 00:16:39,560 --> 00:16:41,560 Speaker 2: we see if we have a ninety print yet on 335 00:16:41,640 --> 00:16:42,440 Speaker 2: Brent Crude. 336 00:16:43,360 --> 00:16:47,320 Speaker 5: But eighty nine, yeah, eighty nine, ninety nine are you 337 00:16:47,480 --> 00:16:48,000 Speaker 5: kidding me? 338 00:16:48,400 --> 00:16:51,480 Speaker 2: Within a penny of ninety dollars, Beryl, We want to 339 00:16:51,520 --> 00:16:54,200 Speaker 2: get NAUGHTI in here to give Jennifer Lee time to 340 00:16:54,280 --> 00:16:59,720 Speaker 2: really digest this economic data gently. Is just spectacular female capital, 341 00:16:59,760 --> 00:17:03,200 Speaker 2: marcuse of just slicing and dicing it and putting it 342 00:17:03,240 --> 00:17:06,200 Speaker 2: together in the fifteen to twenty minutes, generally you've had 343 00:17:06,200 --> 00:17:07,160 Speaker 2: to digest the data. 344 00:17:07,400 --> 00:17:09,560 Speaker 5: What is the distinction, you see? 345 00:17:10,720 --> 00:17:12,840 Speaker 7: My distinction is I have no idea what how we're 346 00:17:12,840 --> 00:17:15,520 Speaker 7: going to call this good morning, very very thank you 347 00:17:15,600 --> 00:17:17,040 Speaker 7: very much for having me on. I would like Nadia 348 00:17:17,119 --> 00:17:19,400 Speaker 7: to talk to my daughter. By the way, I still 349 00:17:19,640 --> 00:17:21,560 Speaker 7: can't figure out what she needs to do. And at 350 00:17:21,560 --> 00:17:23,040 Speaker 7: the age of fourteen, you still don't know what you 351 00:17:23,080 --> 00:17:24,560 Speaker 7: want to do with your life. And I was gonna 352 00:17:24,600 --> 00:17:26,800 Speaker 7: go all Asian tiger mom on her and the same lot. 353 00:17:27,600 --> 00:17:29,720 Speaker 5: Asian Are you an Asian tiger mom? 354 00:17:30,520 --> 00:17:34,399 Speaker 7: A little bit, just a little bit in terms of 355 00:17:34,400 --> 00:17:36,639 Speaker 7: the data this morning definitely a bit of a shock. 356 00:17:37,640 --> 00:17:40,760 Speaker 7: I was expecting a weaker US jobs number, but I 357 00:17:40,840 --> 00:17:42,840 Speaker 7: was not looking for a negative, so that was a 358 00:17:42,880 --> 00:17:44,800 Speaker 7: little bit of an eye opener. And of course you 359 00:17:44,840 --> 00:17:47,680 Speaker 7: have the double whammy of a weaker retail sales figure. 360 00:17:47,800 --> 00:17:51,360 Speaker 7: So this puts, you know, the doves on the minority 361 00:17:51,359 --> 00:17:53,760 Speaker 7: of the of the doves on the Federal Reserve right 362 00:17:53,800 --> 00:17:56,480 Speaker 7: back into play. You know, you had a waller which 363 00:17:56,520 --> 00:17:58,240 Speaker 7: I thought was interesting just a couple of weeks ago, 364 00:17:58,280 --> 00:18:00,840 Speaker 7: I think when he said that the next meeting would 365 00:18:00,840 --> 00:18:02,439 Speaker 7: be a coin toss, and I was thinking, wow, that's 366 00:18:02,440 --> 00:18:05,360 Speaker 7: an interesting little twist. But you know, I'm sure now 367 00:18:05,359 --> 00:18:07,639 Speaker 7: he's going to be firmly still on the on the 368 00:18:07,640 --> 00:18:09,560 Speaker 7: side calling for rate cuts. So we're going to see 369 00:18:09,600 --> 00:18:11,840 Speaker 7: how all of this pants out. You know, we are 370 00:18:11,880 --> 00:18:13,680 Speaker 7: still just for the record, we're still not looking for 371 00:18:14,040 --> 00:18:17,600 Speaker 7: any rate cuts to come until probably June. We can't 372 00:18:17,640 --> 00:18:19,560 Speaker 7: sort of take one month with a grant of salt. 373 00:18:20,080 --> 00:18:22,320 Speaker 7: Always look for the revisions, you know, and generally the 374 00:18:22,359 --> 00:18:25,520 Speaker 7: revisions for jobs on the downward trend, but overall, you know, 375 00:18:25,560 --> 00:18:27,359 Speaker 7: it just shows softening US growth. 376 00:18:28,280 --> 00:18:28,639 Speaker 5: Terrorfs. 377 00:18:28,680 --> 00:18:30,120 Speaker 7: I hate bring up the tea word, but it's still 378 00:18:30,119 --> 00:18:33,600 Speaker 7: out there. Terrorsts are still a big source of uncertainty, 379 00:18:33,680 --> 00:18:37,320 Speaker 7: especially now with businesses. They're all sort of focusing refocusing 380 00:18:37,400 --> 00:18:39,840 Speaker 7: on some of their efforts now on the possible refund 381 00:18:39,920 --> 00:18:41,359 Speaker 7: process and how messy that's going to be. 382 00:18:41,840 --> 00:18:45,040 Speaker 6: So Jen, I think the narrative or the consensus coming 383 00:18:45,080 --> 00:18:48,200 Speaker 6: into today was kind of a no higher, no fire 384 00:18:48,359 --> 00:18:50,919 Speaker 6: type of labor market, and maybe we can live with 385 00:18:51,000 --> 00:18:53,760 Speaker 6: that for a while. That's not the worst thing given 386 00:18:53,800 --> 00:18:56,919 Speaker 6: where the unemployment rate is. Does today's number change that 387 00:18:57,040 --> 00:18:57,720 Speaker 6: narrative at all? 388 00:18:58,640 --> 00:19:01,000 Speaker 7: No, again, you know, I'm I mean, obviously it makes 389 00:19:01,359 --> 00:19:03,680 Speaker 7: it's obviously it's a little bit more softer than many 390 00:19:03,720 --> 00:19:06,200 Speaker 7: people had expected. But at the same time we still 391 00:19:06,240 --> 00:19:08,360 Speaker 7: this is coming on the heels you know of a Yes, 392 00:19:08,440 --> 00:19:12,560 Speaker 7: a dowurly revised figure in January, but at least it 393 00:19:12,600 --> 00:19:15,200 Speaker 7: was still higher, so a network still higher. But again 394 00:19:16,000 --> 00:19:19,320 Speaker 7: not a great not a great report, but a four 395 00:19:19,359 --> 00:19:21,200 Speaker 7: point four percent job was ready. It could have been higher, 396 00:19:21,240 --> 00:19:22,960 Speaker 7: could been higher than that. It was interesting, by the 397 00:19:22,960 --> 00:19:25,639 Speaker 7: way that ragings were still a point four percent I 398 00:19:25,640 --> 00:19:27,400 Speaker 7: think month to months and three eight year of years, 399 00:19:27,440 --> 00:19:30,040 Speaker 7: so people are still getting a wage that you know, 400 00:19:30,119 --> 00:19:32,600 Speaker 7: the ninety five percent that are still working are still 401 00:19:32,600 --> 00:19:34,880 Speaker 7: getting a steady wage point four percent month over month, 402 00:19:35,640 --> 00:19:37,520 Speaker 7: but they're obviously holding back a little bit, you know, 403 00:19:37,560 --> 00:19:40,960 Speaker 7: worrying about higher prices to business when the whole affordability 404 00:19:41,040 --> 00:19:43,280 Speaker 7: narrative comes into play as well. And now we've got oil, 405 00:19:43,880 --> 00:19:46,120 Speaker 7: you know, touching on eighty bucks. I think the last check, 406 00:19:46,640 --> 00:19:47,920 Speaker 7: you know, that's not helping it all either. 407 00:19:48,000 --> 00:19:50,919 Speaker 5: So you mentioned generally four point four percent unemployment. 408 00:19:50,960 --> 00:19:53,399 Speaker 2: I mean, you come out of Waterloo up in Canada, folks, 409 00:19:53,600 --> 00:19:57,320 Speaker 2: which is bulletproof statistics and math on economics. What I 410 00:19:57,440 --> 00:19:59,360 Speaker 2: get and I got this on my trip to Phoenix 411 00:19:59,400 --> 00:20:02,959 Speaker 2: this week, jen Lee, is just simple. America doesn't believe 412 00:20:03,000 --> 00:20:07,080 Speaker 2: it's a four four percent unemployment with all the adjustments 413 00:20:07,160 --> 00:20:11,440 Speaker 2: hedonic this and technology and AI. What does his four 414 00:20:11,520 --> 00:20:15,960 Speaker 2: point four statistics feel like right now? Like six percent 415 00:20:16,440 --> 00:20:18,360 Speaker 2: or seven percent unemployment? 416 00:20:19,280 --> 00:20:21,920 Speaker 7: You know, it probably feels a bit higher and again, 417 00:20:22,040 --> 00:20:23,480 Speaker 7: but you know you have to flick look on the 418 00:20:23,480 --> 00:20:25,560 Speaker 7: flip side, that's still you know, over ninety five percent 419 00:20:25,600 --> 00:20:28,720 Speaker 7: of the of the labor of the population that is 420 00:20:28,840 --> 00:20:33,919 Speaker 7: still employed gainfully employed, so it's still relatively low. You know, 421 00:20:33,960 --> 00:20:36,920 Speaker 7: as you're the guests I've been saying, it's still somewhat stable, 422 00:20:37,640 --> 00:20:40,679 Speaker 7: but again heading higher. I'm always looking at things like 423 00:20:40,720 --> 00:20:43,919 Speaker 7: the wages, at wage growth, because that ultimately is the 424 00:20:43,960 --> 00:20:47,600 Speaker 7: biggest source of support for the US consumer. Knowing that 425 00:20:47,680 --> 00:20:50,040 Speaker 7: you have a study income coming in on a regular 426 00:20:50,080 --> 00:20:54,119 Speaker 7: paycheck every other week, I think does wonders for your 427 00:20:54,119 --> 00:20:57,359 Speaker 7: own personal you know, self worth. So in the meantime, 428 00:20:57,359 --> 00:20:59,399 Speaker 7: I think we're going to see some more pullback in 429 00:20:59,480 --> 00:21:04,520 Speaker 7: this very a certain geopilical environment economic environment. But you 430 00:21:04,560 --> 00:21:06,320 Speaker 7: know that looks like you know, the FED is not 431 00:21:06,680 --> 00:21:08,800 Speaker 7: is not finished yet, and they will continue to cut rates. 432 00:21:08,880 --> 00:21:10,600 Speaker 5: We get absolutely. 433 00:21:10,640 --> 00:21:13,200 Speaker 6: I'm looking at the retail sales Tom, I mean, I guess, 434 00:21:13,280 --> 00:21:15,880 Speaker 6: Jennet kind of coming in and in line with expectations. 435 00:21:16,440 --> 00:21:18,040 Speaker 6: What do you make of when you see the retail 436 00:21:18,040 --> 00:21:20,639 Speaker 6: sales numbers? What do you make of the US consumer 437 00:21:20,720 --> 00:21:22,280 Speaker 6: these days? I guess hanging in. 438 00:21:22,240 --> 00:21:25,600 Speaker 7: There, still hanging in. I mean, it was obviously it was, 439 00:21:25,640 --> 00:21:27,520 Speaker 7: you know, there was a lot of broad based weakness, 440 00:21:27,560 --> 00:21:30,080 Speaker 7: but there are still some gains and things like furniture, 441 00:21:30,560 --> 00:21:34,159 Speaker 7: groceries of course, you know, general merchandise, building materials, you know, 442 00:21:34,240 --> 00:21:36,679 Speaker 7: but the other things like the discretionary areas such as 443 00:21:36,800 --> 00:21:38,560 Speaker 7: dining out, which is what I always doom in on, 444 00:21:39,359 --> 00:21:42,480 Speaker 7: you know, sporting goods, those were all lower. So again 445 00:21:42,640 --> 00:21:44,320 Speaker 7: just speaks to a little bit more of the weakness 446 00:21:44,359 --> 00:21:47,320 Speaker 7: and the more cautiousness of the US consumer. But again 447 00:21:47,440 --> 00:21:50,600 Speaker 7: it wasn't It's just one month or a couple months, 448 00:21:50,600 --> 00:21:51,840 Speaker 7: I guess at this point. But more like you know, 449 00:21:51,880 --> 00:21:54,600 Speaker 7: I always look at revisions, and then we'll be looking 450 00:21:54,640 --> 00:21:57,719 Speaker 7: at the more important, all encompassing PC report that's going 451 00:21:57,760 --> 00:21:59,280 Speaker 7: to be coming out. I guess in the say, a 452 00:21:59,320 --> 00:21:59,960 Speaker 7: few weeks. 453 00:22:00,119 --> 00:22:01,400 Speaker 5: We got to go to breaking news. 454 00:22:01,400 --> 00:22:03,399 Speaker 2: But I just got one final question, and with the 455 00:22:03,400 --> 00:22:06,520 Speaker 2: Bank of Montreal's Jenna at Lee as well, should the 456 00:22:06,600 --> 00:22:09,399 Speaker 2: Canadians be so desperate is to give up some of 457 00:22:09,440 --> 00:22:12,800 Speaker 2: their young stars and draft picks to get Robert Thomas 458 00:22:12,800 --> 00:22:15,800 Speaker 2: of the Saint Louis Blues or my favorite nause ande 459 00:22:15,840 --> 00:22:18,480 Speaker 2: cadre to the Canadians, you have to go large here 460 00:22:19,000 --> 00:22:22,159 Speaker 2: Friday as the trade doagline approaches, you. 461 00:22:22,160 --> 00:22:24,359 Speaker 7: Know what you wrong? Person asks you what all the 462 00:22:24,400 --> 00:22:26,159 Speaker 7: other guys who are a lot more onto this than 463 00:22:26,240 --> 00:22:26,560 Speaker 7: I am