1 00:00:00,600 --> 00:00:10,799 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,840 --> 00:00:15,000 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:15,040 --> 00:00:17,520 Speaker 1: Eastern on Apple car Playing and Broyd Auto with the 4 00:00:17,520 --> 00:00:21,520 Speaker 1: Bloomberg Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,640 --> 00:00:23,360 Speaker 1: or watch us live on YouTube. 6 00:00:23,440 --> 00:00:26,279 Speaker 2: But we're also going to talk about jobs and the 7 00:00:26,280 --> 00:00:28,320 Speaker 2: economic fundamentals and all that fun stuff. And for that, 8 00:00:28,480 --> 00:00:32,000 Speaker 2: Michael McKee is joining us. Bloomberg Economics. No, you're not 9 00:00:32,040 --> 00:00:35,560 Speaker 2: Bloomberg Economics. What your policy correspondent? 10 00:00:35,800 --> 00:00:36,600 Speaker 3: Well, economics. 11 00:00:37,479 --> 00:00:37,879 Speaker 4: It is a. 12 00:00:39,360 --> 00:00:40,319 Speaker 5: Title like that's the. 13 00:00:40,320 --> 00:00:43,320 Speaker 4: Thing red Sox analysts for I mean there's that too. 14 00:00:45,320 --> 00:00:48,000 Speaker 2: I gotta ask, are you surprised about the depth of 15 00:00:48,040 --> 00:00:50,200 Speaker 2: the reaction, like people trying to talk about a fifty 16 00:00:50,200 --> 00:00:53,800 Speaker 2: bases point cut in September, terminal rates being revised, lower 17 00:00:53,960 --> 00:00:55,120 Speaker 2: the bond rally. 18 00:00:55,480 --> 00:00:56,080 Speaker 6: I don't. 19 00:00:56,760 --> 00:00:59,560 Speaker 3: I don't ever get surprised by market reactions. I love 20 00:00:59,560 --> 00:01:02,360 Speaker 3: it said this. I've said this before and I'll say 21 00:01:02,400 --> 00:01:05,800 Speaker 3: it again. The fat has a reaction function. The markets 22 00:01:06,040 --> 00:01:08,640 Speaker 3: have an overreaction function, and they always go too far, 23 00:01:08,760 --> 00:01:10,920 Speaker 3: too fast, and then they come back a little bit 24 00:01:10,959 --> 00:01:13,400 Speaker 3: to sanity at some point. Because you get a hurt 25 00:01:13,480 --> 00:01:17,440 Speaker 3: instinct when some kind of news breaks and the markets 26 00:01:17,440 --> 00:01:21,560 Speaker 3: were leaning towards a bad report, and so this just 27 00:01:21,840 --> 00:01:25,320 Speaker 3: you know, pushed them in a direction they already wanted 28 00:01:25,360 --> 00:01:28,600 Speaker 3: to go. And I'll leave it to smarter people like 29 00:01:28,760 --> 00:01:31,080 Speaker 3: just to tell you why they want to do that, 30 00:01:31,360 --> 00:01:34,800 Speaker 3: but and whether or not lower rates are going to 31 00:01:34,880 --> 00:01:37,959 Speaker 3: be good for equities or not. But at this point, 32 00:01:38,040 --> 00:01:42,080 Speaker 3: I think it's today you just kind of look past 33 00:01:42,360 --> 00:01:44,920 Speaker 3: what happened in the markets, and Monday. 34 00:01:44,560 --> 00:01:44,960 Speaker 1: You come back. 35 00:01:45,000 --> 00:01:46,520 Speaker 5: Can't do that, this is the fun part for us. 36 00:01:46,600 --> 00:01:49,480 Speaker 3: But go ahead, well Monday, Monday, you come in and 37 00:01:49,520 --> 00:01:51,760 Speaker 3: you start thinking about what does this mean for the 38 00:01:51,760 --> 00:01:54,680 Speaker 3: overall economy. I'm telling everybody takes Saturday and Sunday just. 39 00:01:58,320 --> 00:01:58,600 Speaker 7: Well. 40 00:01:58,680 --> 00:02:04,200 Speaker 8: Have actually Austin Goulsby will be on Bloomberg Television noon. 41 00:02:04,320 --> 00:02:06,680 Speaker 8: I believe that's on our Eco go page here. So 42 00:02:07,360 --> 00:02:10,640 Speaker 8: when it comes to someone like that, who's obviously on 43 00:02:10,680 --> 00:02:14,280 Speaker 8: the federal reserve, what are you looking to potentially hear 44 00:02:14,360 --> 00:02:15,800 Speaker 8: from him? And what do you want to kind of 45 00:02:15,800 --> 00:02:18,560 Speaker 8: gauge here now coming out of obviously the Fed decision, 46 00:02:18,600 --> 00:02:21,000 Speaker 8: and because he at the beginning of July, he was 47 00:02:21,080 --> 00:02:23,080 Speaker 8: kind of one of the first people that really, we 48 00:02:23,120 --> 00:02:25,800 Speaker 8: know he's dubbish, but he started indicating that he felt 49 00:02:25,840 --> 00:02:27,880 Speaker 8: like cuts were coming pretty soon. Yeah. 50 00:02:27,960 --> 00:02:33,200 Speaker 3: Well, the chairman was very certain during his news conference 51 00:02:33,280 --> 00:02:36,440 Speaker 3: that everybody was in agreement that they should pause, and 52 00:02:36,480 --> 00:02:39,680 Speaker 3: I'm wondering if that's exactly true or if he was 53 00:02:39,960 --> 00:02:43,600 Speaker 3: maybe seeing what he wanted to see. And obviously, the 54 00:02:43,639 --> 00:02:47,600 Speaker 3: market is saying today that the FED made a mistake, 55 00:02:48,120 --> 00:02:52,720 Speaker 3: So do they think how do they defend themselves to 56 00:02:52,800 --> 00:02:56,359 Speaker 3: the idea of a mistake? And does this lock in September? 57 00:02:56,919 --> 00:02:59,919 Speaker 3: And obviously what do they think of a fifty basis point. 58 00:03:00,200 --> 00:03:02,480 Speaker 3: I don't think it's something that they want to do, 59 00:03:02,639 --> 00:03:04,399 Speaker 3: so I don't think that'll be a big deal. 60 00:03:04,480 --> 00:03:06,760 Speaker 2: I mean, I know that the markets overreact and the 61 00:03:06,760 --> 00:03:09,800 Speaker 2: FED onder I get all that, But if the market 62 00:03:09,800 --> 00:03:13,000 Speaker 2: has to price in a fifty bases point cut or 63 00:03:13,080 --> 00:03:17,280 Speaker 2: even an intermeting cut, then the FED has the enviable 64 00:03:17,360 --> 00:03:20,480 Speaker 2: job of having to walk back expectations to kind of 65 00:03:20,520 --> 00:03:21,960 Speaker 2: get that out of the market. 66 00:03:22,160 --> 00:03:23,920 Speaker 5: How did they do that when they also have to 67 00:03:23,919 --> 00:03:25,280 Speaker 5: acknowledge like things are going to beeker. 68 00:03:25,400 --> 00:03:28,160 Speaker 3: That's why they don't want to do that. They they 69 00:03:28,240 --> 00:03:32,160 Speaker 3: wouldn't do an intermeding cut unless there was some real 70 00:03:32,240 --> 00:03:34,880 Speaker 3: collapse in the economy. And we did get one hundred 71 00:03:34,880 --> 00:03:40,920 Speaker 3: and fourteen thousand jobs. It's what the Fed had been 72 00:03:40,960 --> 00:03:45,080 Speaker 3: looking for. They'd been looking for a more gradual ratchet down. 73 00:03:46,000 --> 00:03:49,840 Speaker 3: This was a fairly dramatic move, but it's not out 74 00:03:49,880 --> 00:03:55,600 Speaker 3: of It's not an abnormal result for the economy. And 75 00:03:55,640 --> 00:04:00,640 Speaker 3: the unemployment rate is four point three percent and that's 76 00:04:00,680 --> 00:04:06,480 Speaker 3: still historically low. So yes, things deteriorated, perhaps more quickly 77 00:04:06,520 --> 00:04:09,000 Speaker 3: than they anticipated, but they're not going to panic at 78 00:04:09,000 --> 00:04:09,440 Speaker 3: this point. 79 00:04:09,560 --> 00:04:12,120 Speaker 2: Okay, Mike, Actually stay with us, Hank tight for this segment, 80 00:04:12,120 --> 00:04:14,120 Speaker 2: we're going to bring in Jonny Bailey. She's chief workforce 81 00:04:14,160 --> 00:04:17,839 Speaker 2: analyst at employee Bridge, joining us now from Florida. Jony, 82 00:04:18,160 --> 00:04:22,080 Speaker 2: give us your take on the numbers, Like they weren't terrible. 83 00:04:22,120 --> 00:04:25,280 Speaker 2: I understand the job market's slowing, but what's your take. 84 00:04:28,480 --> 00:04:32,520 Speaker 9: If you can see that we have a cooling job market, 85 00:04:33,000 --> 00:04:35,320 Speaker 9: you know, and it's been coming for some time, you know, 86 00:04:35,360 --> 00:04:39,359 Speaker 9: over the last really even eighteen months. Most of the 87 00:04:39,480 --> 00:04:42,960 Speaker 9: job growth has been in the healthcare sector, in the 88 00:04:42,960 --> 00:04:44,360 Speaker 9: government sector. 89 00:04:44,320 --> 00:04:46,000 Speaker 10: And in leisure and hospitality. 90 00:04:46,279 --> 00:04:49,640 Speaker 9: But there's been many sectors that haven't been adding that 91 00:04:49,880 --> 00:04:55,760 Speaker 9: robust job growth. Manufacturing, professional business services has been struggling. 92 00:04:56,200 --> 00:05:00,200 Speaker 9: The temporary help sector has really been struggling. So I 93 00:05:00,200 --> 00:05:04,040 Speaker 9: think we're seeing more of the same. But this report 94 00:05:04,560 --> 00:05:08,200 Speaker 9: showed some signs of real weakening when you look at 95 00:05:08,200 --> 00:05:12,360 Speaker 9: the unemployment numbers. That is certainly what concerns me the most. 96 00:05:12,720 --> 00:05:15,760 Speaker 9: That we tipped up to four point three percent. We're 97 00:05:15,839 --> 00:05:19,919 Speaker 9: up to seven point one million unemployed people in the 98 00:05:20,040 --> 00:05:24,640 Speaker 9: United States and right now, I can't tell you that 99 00:05:24,640 --> 00:05:27,360 Speaker 9: that's going to change very quickly. I think we're going 100 00:05:27,400 --> 00:05:30,480 Speaker 9: to see more of that for the rest of this year. 101 00:05:31,600 --> 00:05:34,200 Speaker 8: What if any When it comes to inflationary costs or 102 00:05:34,320 --> 00:05:37,680 Speaker 8: driving people to go back into the workforce. 103 00:05:38,200 --> 00:05:41,400 Speaker 9: Oh, I think you are spot on when it comes 104 00:05:41,440 --> 00:05:46,080 Speaker 9: to that. We are seeing people enter back into the workforce, 105 00:05:46,160 --> 00:05:50,200 Speaker 9: so that that is a good sign. Even labor participation 106 00:05:51,000 --> 00:05:54,840 Speaker 9: tipped up to sixty two point seven percent, so people 107 00:05:54,920 --> 00:05:57,800 Speaker 9: are coming back. They have to come back to work, 108 00:05:58,360 --> 00:06:02,240 Speaker 9: and that is due to inflationationary costs. You know, we're 109 00:06:02,279 --> 00:06:06,479 Speaker 9: seeing people not only you know, need both parents maybe 110 00:06:06,520 --> 00:06:10,640 Speaker 9: to work in a family, but some taking second jobs, 111 00:06:11,360 --> 00:06:14,599 Speaker 9: looking for part time work or maybe gig work to 112 00:06:14,720 --> 00:06:20,839 Speaker 9: kind of supplement their incomes. So yes, unemployment will continue 113 00:06:20,880 --> 00:06:24,040 Speaker 9: to grow as we start to see more people participating 114 00:06:24,279 --> 00:06:29,880 Speaker 9: in the overall workforce. And unfortunately, job openings are starting 115 00:06:29,920 --> 00:06:33,039 Speaker 9: to decline month over month. I think we're down to 116 00:06:33,080 --> 00:06:37,400 Speaker 9: about eight point one million job openings and now we 117 00:06:37,520 --> 00:06:42,080 Speaker 9: have seven point one million unemployed workers. So you know, 118 00:06:42,120 --> 00:06:46,359 Speaker 9: there's still more jobs than there are unemployed people, but 119 00:06:46,560 --> 00:06:50,880 Speaker 9: that gap is really narrowing, and it could reverse that. 120 00:06:50,920 --> 00:06:54,400 Speaker 9: We will have more unemployed people than we do have 121 00:06:54,480 --> 00:06:58,120 Speaker 9: open jobs in the US in the next couple months. 122 00:06:58,720 --> 00:07:02,120 Speaker 3: One thing we saw in the report today that would 123 00:07:02,200 --> 00:07:06,159 Speaker 3: be ordinarily even a red flag is a drop in 124 00:07:06,320 --> 00:07:12,080 Speaker 3: temporary health services hiring. Basically, are you finding that companies 125 00:07:13,520 --> 00:07:16,320 Speaker 3: don't want to add anybody at this point? 126 00:07:17,520 --> 00:07:22,200 Speaker 9: Yes, you know, unfortunately the temporary help sector has been 127 00:07:22,280 --> 00:07:25,400 Speaker 9: hit the hardest over the last two years. 128 00:07:26,160 --> 00:07:28,320 Speaker 10: We've been seeing declines. 129 00:07:27,840 --> 00:07:33,200 Speaker 9: In you know, job growth for gosh, I think since 130 00:07:33,400 --> 00:07:37,640 Speaker 9: March of twenty twenty two, so again this month is concerning. 131 00:07:37,720 --> 00:07:40,280 Speaker 9: There was a loss of twenty two thousand jobs in 132 00:07:40,320 --> 00:07:44,560 Speaker 9: this sector, and you know, it really points to employers 133 00:07:44,600 --> 00:07:48,320 Speaker 9: are going to let their temporary workers go first and 134 00:07:48,360 --> 00:07:51,520 Speaker 9: try to hold on to their permanent staff before they 135 00:07:51,560 --> 00:07:56,040 Speaker 9: need to lay them off, and it has a profound 136 00:07:56,560 --> 00:08:00,520 Speaker 9: impact on the overall temporary health industry. Has been a 137 00:08:00,560 --> 00:08:05,000 Speaker 9: softness across the board. Certainly, I see it at Employee Bridge. 138 00:08:05,080 --> 00:08:07,320 Speaker 9: I'm also the chair of the board for the American 139 00:08:07,360 --> 00:08:11,120 Speaker 9: Staffing Association, and I can tell you the entire industry 140 00:08:11,280 --> 00:08:12,920 Speaker 9: is feeling it across the board. 141 00:08:13,120 --> 00:08:14,720 Speaker 10: We're hopeful, you know. 142 00:08:14,720 --> 00:08:17,600 Speaker 9: As we look at coming into the holiday and the 143 00:08:17,720 --> 00:08:21,720 Speaker 9: peak season, that employers are going to start adding to 144 00:08:21,800 --> 00:08:25,360 Speaker 9: their payrolls and hopefully twenty twenty five is a much 145 00:08:25,400 --> 00:08:30,760 Speaker 9: better year, but it would point to a challenging economic 146 00:08:30,880 --> 00:08:35,360 Speaker 9: climate right now and certainly concerns because employers are not 147 00:08:35,720 --> 00:08:39,359 Speaker 9: adding temporary workers, you know, to their payrolls. 148 00:08:39,679 --> 00:08:42,839 Speaker 8: Where are we still seeing bright spots within the labor force? 149 00:08:42,920 --> 00:08:48,640 Speaker 9: Jny, Well, you know, bright spots, I will say, can 150 00:08:49,320 --> 00:08:52,960 Speaker 9: still be in that healthcare sector. There's a tremendous amount 151 00:08:53,000 --> 00:08:57,600 Speaker 9: of job growth in healthcare and I expect those trends 152 00:08:57,600 --> 00:08:58,520 Speaker 9: to continue. 153 00:08:59,320 --> 00:09:02,320 Speaker 10: You know, we have been seeing construction jobs start to 154 00:09:02,360 --> 00:09:03,520 Speaker 10: come back, and. 155 00:09:03,520 --> 00:09:06,960 Speaker 9: If you look at the horizon, I do expect that 156 00:09:07,040 --> 00:09:10,720 Speaker 9: we will see a resurgence in manufacturing. We're just not 157 00:09:11,000 --> 00:09:14,200 Speaker 9: seeing that right now, but many plants are being you 158 00:09:14,240 --> 00:09:17,840 Speaker 9: know built across the country and those jobs will come 159 00:09:17,880 --> 00:09:21,400 Speaker 9: back in the US. I also think if you look 160 00:09:21,559 --> 00:09:28,200 Speaker 9: at the breakdown of unemployment, certainly having education, college degree, 161 00:09:28,920 --> 00:09:31,560 Speaker 9: you know, put you in a much better position. 162 00:09:32,320 --> 00:09:33,640 Speaker 10: My concern in this. 163 00:09:33,600 --> 00:09:38,240 Speaker 9: Month's report was actually those lower wage jobs, you know, 164 00:09:38,360 --> 00:09:41,240 Speaker 9: really not coming back and being eliminated. And when you 165 00:09:41,280 --> 00:09:45,920 Speaker 9: look at unemployment, we saw the largest jump in unemployment 166 00:09:46,720 --> 00:09:51,880 Speaker 9: in twenty five years of age and older. For individuals 167 00:09:51,920 --> 00:09:56,560 Speaker 9: that have not completed their high school diploma. It went 168 00:09:56,640 --> 00:09:59,400 Speaker 9: almost it went up almost a full point. We saw 169 00:09:59,440 --> 00:10:02,920 Speaker 9: that up to six point seven percent. So those low 170 00:10:03,000 --> 00:10:09,120 Speaker 9: wage jobs are certainly being impacted. College degree it's still 171 00:10:09,160 --> 00:10:12,280 Speaker 9: down to about three and a half percent unemployment, so 172 00:10:12,480 --> 00:10:16,320 Speaker 9: certainly lower than that four point three percent, So education 173 00:10:16,760 --> 00:10:22,440 Speaker 9: skills experience, those jobs are still out there and in demand. 174 00:10:23,280 --> 00:10:26,559 Speaker 3: Is this something the situation we have now with employment 175 00:10:26,880 --> 00:10:28,600 Speaker 3: that a FED rate cut is going to fix? 176 00:10:29,960 --> 00:10:32,160 Speaker 10: It will certainly help, you know. 177 00:10:32,200 --> 00:10:36,800 Speaker 9: I think most employers right now are being very focused 178 00:10:37,040 --> 00:10:41,360 Speaker 9: on you know, cost containment and where they're investing, and 179 00:10:41,440 --> 00:10:44,920 Speaker 9: with where interest rates are right now, you know, their 180 00:10:45,000 --> 00:10:48,959 Speaker 9: purse strings are just a bit tighter. So when when 181 00:10:49,000 --> 00:10:53,079 Speaker 9: we talk to our customers at employee Bridge and certainly 182 00:10:53,760 --> 00:10:56,880 Speaker 9: employers across the board, you know, they are saying that 183 00:10:56,920 --> 00:11:00,600 Speaker 9: they are waiting, you know, for the FED to cut 184 00:11:00,679 --> 00:11:05,080 Speaker 9: rights and that they're hopeful that when that happens, things 185 00:11:05,120 --> 00:11:07,440 Speaker 9: will start to pick up and they will start to 186 00:11:07,520 --> 00:11:10,960 Speaker 9: make those hiring decisions. 187 00:11:09,840 --> 00:11:11,199 Speaker 10: Again and move forward. 188 00:11:11,400 --> 00:11:14,240 Speaker 9: So I would say, from everything we're hearing on the 189 00:11:14,280 --> 00:11:16,680 Speaker 9: front lines, yes, that will help. 190 00:11:16,800 --> 00:11:18,840 Speaker 8: You know, Jenny willly have about twenty seconds left. But 191 00:11:19,240 --> 00:11:21,400 Speaker 8: we've seen when it comes to women in entering the 192 00:11:21,440 --> 00:11:23,679 Speaker 8: labor force coming out of COVID, it's been a bit 193 00:11:23,720 --> 00:11:26,320 Speaker 8: of a struggle, more so compared to prior to that. 194 00:11:26,320 --> 00:11:28,000 Speaker 4: But what do we sing on that front? 195 00:11:28,679 --> 00:11:33,040 Speaker 9: Yeah, you know, I think that there's more flexibility for 196 00:11:33,440 --> 00:11:36,360 Speaker 9: women in the workforce right now than there's probably ever 197 00:11:36,480 --> 00:11:41,679 Speaker 9: been before. Employers want to hire, you know, a device workforce, 198 00:11:41,800 --> 00:11:45,520 Speaker 9: they want women to come back, and they're offering more flexibility. 199 00:11:45,679 --> 00:11:48,760 Speaker 9: So options are out there, and I do think we're 200 00:11:48,760 --> 00:11:51,040 Speaker 9: seeing women enter back as well. 201 00:11:51,120 --> 00:11:55,080 Speaker 8: Great to hear Jenny Bailey, chief Work Analysts here and 202 00:11:55,160 --> 00:11:57,959 Speaker 8: apparently the chair of the American Staffing Association. Of course, 203 00:11:58,000 --> 00:11:59,959 Speaker 8: Mike McKee over our own at Bloomberg. 204 00:12:00,320 --> 00:12:06,400 Speaker 1: Here you're listening to the Bloomberg Intelligence Podcast. Catch us 205 00:12:06,440 --> 00:12:09,839 Speaker 1: live weekdays at ten am Eastern on applecar Play and 206 00:12:09,840 --> 00:12:12,760 Speaker 1: Android Auto with the Bloomberg Business app. You can also 207 00:12:12,840 --> 00:12:16,320 Speaker 1: listen live on Amazon Alexa from our flagship New York station, 208 00:12:16,720 --> 00:12:21,679 Speaker 1: Just say Alexa play Bloomberg eleven thirty Bloomberg. 209 00:12:21,240 --> 00:12:24,080 Speaker 2: Intelligence Radio, Alex Steele, Paul Sweeny's off on the beach 210 00:12:24,280 --> 00:12:26,480 Speaker 2: just mentioned is here, as well as John Tucker. Yeah, 211 00:12:26,480 --> 00:12:28,800 Speaker 2: we haven't seen those chunky moves in the bond market 212 00:12:28,840 --> 00:12:31,640 Speaker 2: in the front end since guess when, oh twenty twenty 213 00:12:31,679 --> 00:12:34,760 Speaker 2: three March, the less VB action there, So let's for 214 00:12:35,160 --> 00:12:38,200 Speaker 2: a perspective on like the type of sort of panic 215 00:12:38,240 --> 00:12:40,000 Speaker 2: buying if you will, coming into the front end. 216 00:12:40,040 --> 00:12:42,720 Speaker 8: Also, the Atlanta Fed GDP now for the third quarter 217 00:12:42,760 --> 00:12:44,720 Speaker 8: coming in around two and a half percent, and then 218 00:12:44,720 --> 00:12:46,920 Speaker 8: the ECFS you function in the terminot's where you can 219 00:12:46,960 --> 00:12:49,640 Speaker 8: see the economic forecast for GDP annually as well as 220 00:12:49,720 --> 00:12:52,400 Speaker 8: quarter over quarter, still seeing strong growth here. So I 221 00:12:52,440 --> 00:12:55,360 Speaker 8: know people are potentially spooked by this job number coming 222 00:12:55,360 --> 00:12:58,839 Speaker 8: in below one hundred and fifty thousand, But again, when 223 00:12:58,840 --> 00:13:01,160 Speaker 8: you're looking at some of the economic projections here, still 224 00:13:01,160 --> 00:13:03,240 Speaker 8: pretty strong growth here overall for the US. 225 00:13:03,080 --> 00:13:05,839 Speaker 2: It's such a good perspective, which begs the question, then 226 00:13:06,080 --> 00:13:07,880 Speaker 2: when you have a sell off that's triggered by that 227 00:13:07,960 --> 00:13:10,520 Speaker 2: growth scare, what do you do then when the underlying 228 00:13:10,600 --> 00:13:13,640 Speaker 2: data is still okay? Well Matt Stuckey is chief portfolio 229 00:13:13,720 --> 00:13:16,560 Speaker 2: manager of equities at Northwestern a mutual Wealth Management and 230 00:13:16,600 --> 00:13:19,000 Speaker 2: he joins US now, So to that point, when you 231 00:13:19,000 --> 00:13:22,079 Speaker 2: see the NASDAC off three percent, do you buy the dip? 232 00:13:23,679 --> 00:13:26,920 Speaker 11: Well, good morning, thanks for having me. Look, I think 233 00:13:26,920 --> 00:13:29,320 Speaker 11: before you rush into any kind of buying and selling 234 00:13:29,360 --> 00:13:32,840 Speaker 11: activity on a day like today, revisiting kind of where 235 00:13:32,840 --> 00:13:35,080 Speaker 11: you're at from a risk allocation is probably where you 236 00:13:35,120 --> 00:13:37,720 Speaker 11: need to start. And so if your way underweight risk assets, 237 00:13:37,800 --> 00:13:41,480 Speaker 11: maybe today's a better entry point. But again, I think 238 00:13:41,520 --> 00:13:44,840 Speaker 11: it's it's important to always kind of center whatever trading 239 00:13:44,840 --> 00:13:47,400 Speaker 11: activity you make based on kind of your long term 240 00:13:47,440 --> 00:13:49,400 Speaker 11: risk tolerance, because that's likely to be tested in the 241 00:13:49,440 --> 00:13:50,080 Speaker 11: coming months. 242 00:13:50,600 --> 00:13:53,719 Speaker 8: So how are you advising clients to position? What are 243 00:13:53,720 --> 00:13:56,440 Speaker 8: you suggesting that they buy? What are you suggesting that 244 00:13:56,480 --> 00:13:59,560 Speaker 8: they sell? When it comes to equities. 245 00:14:00,160 --> 00:14:04,680 Speaker 11: With inequities, Look, I mean we we have been somewhat 246 00:14:04,720 --> 00:14:08,079 Speaker 11: vocal about our concern about concentration building in the S 247 00:14:08,160 --> 00:14:10,640 Speaker 11: and P for the last year or so, and and 248 00:14:10,720 --> 00:14:13,160 Speaker 11: to kind of counteract a little bit of that growing risk, 249 00:14:13,640 --> 00:14:16,280 Speaker 11: you know, we've recommended clients kind of use a little 250 00:14:16,280 --> 00:14:18,440 Speaker 11: bit of a value tilt within their portfolio in the 251 00:14:18,520 --> 00:14:22,200 Speaker 11: S and P space, maybe an equal weighted exposure as 252 00:14:22,200 --> 00:14:25,840 Speaker 11: well to mix in some diversification. You know, we also 253 00:14:25,920 --> 00:14:28,920 Speaker 11: have been somewhat positive about the optionality that we think 254 00:14:29,320 --> 00:14:32,280 Speaker 11: exists in US small caps and midcaps, where you know, 255 00:14:32,400 --> 00:14:36,440 Speaker 11: from evaluation perspective prior to July, you know, things were 256 00:14:36,520 --> 00:14:39,880 Speaker 11: fairly compressed and dislocated versus the S and P, and 257 00:14:39,920 --> 00:14:42,560 Speaker 11: we thought it could work in a variety of economic outcomes, 258 00:14:42,600 --> 00:14:45,520 Speaker 11: one being a mild recession which kind of catalyzes some 259 00:14:45,600 --> 00:14:49,600 Speaker 11: aggressive FED rate cuts, or you know, a soft landing 260 00:14:49,600 --> 00:14:52,040 Speaker 11: scenario which still allows the FED to cut maybe just 261 00:14:52,120 --> 00:14:55,960 Speaker 11: by less that broadens out the economic participation into its economy. 262 00:14:56,720 --> 00:14:56,880 Speaker 12: You know. 263 00:14:57,120 --> 00:14:59,480 Speaker 11: At this point now, though, you know, I think we 264 00:14:59,560 --> 00:15:03,960 Speaker 11: got to have longer term horizon for that to play out, 265 00:15:04,000 --> 00:15:07,080 Speaker 11: because it does look like incrementally the labor market is 266 00:15:07,120 --> 00:15:09,160 Speaker 11: accelerat to the downside, and we're likely to be in 267 00:15:09,160 --> 00:15:11,200 Speaker 11: some chocolate of waters here for the next few months. 268 00:15:11,400 --> 00:15:13,320 Speaker 2: So you mentioned the Russell, and now we're looking at 269 00:15:13,320 --> 00:15:15,880 Speaker 2: the Rustle down over four percent. We haven't seen this 270 00:15:16,040 --> 00:15:18,120 Speaker 2: kind of slide since June of twenty twenty two. 271 00:15:18,840 --> 00:15:21,640 Speaker 5: I mean, I appreciate that it's looking for value. Is interesting. 272 00:15:21,800 --> 00:15:24,960 Speaker 5: How do you manage? Then we had a minor run up. 273 00:15:24,800 --> 00:15:26,920 Speaker 2: And then here we are down again, the most in 274 00:15:26,960 --> 00:15:28,160 Speaker 2: two years. 275 00:15:28,720 --> 00:15:32,320 Speaker 11: Well, you know, we're talking about our within equity allocation. 276 00:15:32,360 --> 00:15:34,680 Speaker 11: I think it's important for your listeners to understand that 277 00:15:34,720 --> 00:15:39,040 Speaker 11: within the global context of our portfolios, our aggregate equity 278 00:15:39,080 --> 00:15:43,600 Speaker 11: position has been underweight with a preference for high quality 279 00:15:43,600 --> 00:15:46,360 Speaker 11: fixed income, and so we're thinking about a little bit 280 00:15:46,400 --> 00:15:49,120 Speaker 11: of offense in that part of the equity portfolio because 281 00:15:49,160 --> 00:15:53,280 Speaker 11: we have a defensive position in fixed income, which is 282 00:15:53,560 --> 00:15:55,560 Speaker 11: in a day like today, you know, really proving it's 283 00:15:55,600 --> 00:15:59,680 Speaker 11: worth from a diversification perspective. So, you know, our message 284 00:15:59,720 --> 00:16:01,680 Speaker 11: to CLI clients on days like today is that this 285 00:16:01,880 --> 00:16:04,760 Speaker 11: is likely to be the environment we deal with for 286 00:16:04,800 --> 00:16:08,320 Speaker 11: the next few months of volatility back and forth, especially 287 00:16:08,320 --> 00:16:13,400 Speaker 11: in areas like small caps, which not only have higher cyclicality, 288 00:16:13,440 --> 00:16:15,840 Speaker 11: but also higher beta associated with them. 289 00:16:16,720 --> 00:16:16,960 Speaker 4: Matt. 290 00:16:17,000 --> 00:16:20,120 Speaker 8: Something I'm curious about is whether or not, especially because 291 00:16:20,160 --> 00:16:22,480 Speaker 8: PAL did signal that rate cuts could come as soon 292 00:16:22,520 --> 00:16:26,120 Speaker 8: as that September eighteenth rate decision here. But Bank of 293 00:16:26,160 --> 00:16:28,200 Speaker 8: America actually had some interesting data that they put in 294 00:16:28,240 --> 00:16:30,960 Speaker 8: their flow show for Michael Hartnett this morning, where the 295 00:16:31,000 --> 00:16:33,040 Speaker 8: S and P five hundred has advanced more than thirty 296 00:16:33,240 --> 00:16:35,280 Speaker 8: percent in the past nine months, compared to an average 297 00:16:35,280 --> 00:16:38,720 Speaker 8: gain of just two percent and a dozen prior occasions 298 00:16:38,720 --> 00:16:42,400 Speaker 8: since nineteen seventy nine leading up to a first rate cut. 299 00:16:42,480 --> 00:16:44,320 Speaker 8: So I'm kind of wondering when you have such a 300 00:16:44,320 --> 00:16:47,360 Speaker 8: big run like that in risk assets, how much of 301 00:16:47,400 --> 00:16:50,000 Speaker 8: that was they sell the news, especially because of small caps, 302 00:16:50,000 --> 00:16:52,320 Speaker 8: and that run up to what FED was signaling there, Matt. 303 00:16:53,640 --> 00:16:58,080 Speaker 11: You know, I thinking through kind of prior cycles and 304 00:16:58,480 --> 00:17:02,800 Speaker 11: kind of connecting that to what the FED has been doing. Look, 305 00:17:02,800 --> 00:17:05,760 Speaker 11: it's not uncommon prior to the first rate cut for 306 00:17:05,920 --> 00:17:10,120 Speaker 11: for markets to corrally and make new all time highs. However, 307 00:17:10,880 --> 00:17:13,480 Speaker 11: to your point earlier about you know, the sell the 308 00:17:13,520 --> 00:17:18,240 Speaker 11: news kind of message here. You know, rate cuts when 309 00:17:18,240 --> 00:17:22,040 Speaker 11: they happen for you know, a response to a decline 310 00:17:22,080 --> 00:17:25,560 Speaker 11: macroeconomic situation which looks like you know, indeed, if it 311 00:17:25,600 --> 00:17:27,480 Speaker 11: starts in September, that's what the FED is going to 312 00:17:27,480 --> 00:17:31,840 Speaker 11: be using as the rationale have a very different equity 313 00:17:31,880 --> 00:17:34,919 Speaker 11: outcome versus rate cuts that are company with the soft landing, 314 00:17:35,600 --> 00:17:37,720 Speaker 11: and so we'll have to wait and see which economic 315 00:17:37,720 --> 00:17:40,760 Speaker 11: outcome we get, but it certainly kind of ratchets up 316 00:17:40,760 --> 00:17:44,000 Speaker 11: the risk profile and the skew of outcomes if we've 317 00:17:44,040 --> 00:17:46,280 Speaker 11: had so much for a run up into that first cut, 318 00:17:47,359 --> 00:17:50,520 Speaker 11: And from my perspective, it is somewhat of evaluation driven 319 00:17:51,160 --> 00:17:52,000 Speaker 11: rebalance there. 320 00:17:52,600 --> 00:17:56,040 Speaker 2: When you mentioned fixed income, where on the curve do 321 00:17:56,119 --> 00:17:59,520 Speaker 2: you think still provides the most value on a price 322 00:17:59,600 --> 00:18:01,400 Speaker 2: appreciateciation basis? 323 00:18:02,040 --> 00:18:04,320 Speaker 11: Sure, I mean this is kind of the more recent 324 00:18:04,480 --> 00:18:06,879 Speaker 11: kind of area that we've changed our fixed income allocation. 325 00:18:07,960 --> 00:18:11,000 Speaker 11: You know, for the last four or five years, we've 326 00:18:11,040 --> 00:18:15,240 Speaker 11: been under rate duration wise. During twenty twenty three, we 327 00:18:15,400 --> 00:18:18,119 Speaker 11: moved our duration back into kind of alignment with the 328 00:18:18,480 --> 00:18:21,040 Speaker 11: Bloomberg Barclays Act in between that you know, five and 329 00:18:21,119 --> 00:18:25,000 Speaker 11: six kind of year range, and most recently a couple 330 00:18:25,080 --> 00:18:28,600 Speaker 11: of months ago, we extended even further to an access 331 00:18:28,680 --> 00:18:33,360 Speaker 11: duration position in our fixed income portfolios. With a very 332 00:18:33,440 --> 00:18:37,280 Speaker 11: high credit rating of double a plus in that position. 333 00:18:37,560 --> 00:18:39,639 Speaker 11: And we accomplish that just with a small position in 334 00:18:39,720 --> 00:18:42,840 Speaker 11: TLT in our model portfolios, which moved our duration out 335 00:18:42,880 --> 00:18:46,120 Speaker 11: a year or so. And you know, the thought there 336 00:18:46,280 --> 00:18:48,639 Speaker 11: is is that, you know, as the Fed is starting 337 00:18:48,680 --> 00:18:51,840 Speaker 11: to ease policy, as inflation is less of a headwind 338 00:18:51,920 --> 00:18:54,439 Speaker 11: to fixed income pricing, you know, this is a position 339 00:18:54,480 --> 00:18:56,800 Speaker 11: that's a really nice diversify in an environment like we're 340 00:18:56,800 --> 00:18:57,520 Speaker 11: dealing with today. 341 00:18:58,040 --> 00:19:00,119 Speaker 8: All Right, Matt, thanks so much for joining us. The 342 00:19:00,119 --> 00:19:03,480 Speaker 8: great getting your perspective, especially on a volatile day like today. 343 00:19:03,520 --> 00:19:07,199 Speaker 8: So Matt Stucky, chief portfolio manager and of equities at 344 00:19:07,240 --> 00:19:11,480 Speaker 8: Northwestern Mutual Wealth Management, joining us on zoom from Milwaukee, Wisconsin. 345 00:19:13,000 --> 00:19:16,879 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 346 00:19:16,960 --> 00:19:20,040 Speaker 1: weekdays at ten am Eastern on Appo card playing Android 347 00:19:20,040 --> 00:19:23,160 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 348 00:19:23,200 --> 00:19:27,040 Speaker 1: you get your podcasts, or watch us live on YouTube. 349 00:19:27,680 --> 00:19:29,480 Speaker 5: So let's get to the economic part of this. 350 00:19:29,720 --> 00:19:32,080 Speaker 2: Bill Lee is chief economist in Milkan Institute and he 351 00:19:32,160 --> 00:19:34,720 Speaker 2: is joining us. Now, Hi, Bill, the market is taking 352 00:19:34,760 --> 00:19:37,159 Speaker 2: this job. Support is like a total disaster, like a 353 00:19:37,200 --> 00:19:39,600 Speaker 2: complete growth scare, is that the right way of looking 354 00:19:39,640 --> 00:19:39,919 Speaker 2: at it. 355 00:19:40,840 --> 00:19:44,040 Speaker 13: I spend my entire career warning people not to overreact 356 00:19:44,080 --> 00:19:46,000 Speaker 13: to one data point, and it looks like the markets 357 00:19:46,040 --> 00:19:49,000 Speaker 13: that continuing to do that market is never disappointed and 358 00:19:49,119 --> 00:19:51,800 Speaker 13: always overreacting in right now, all I can say is 359 00:19:51,840 --> 00:19:54,200 Speaker 13: that how can you have a recession when the entrepreneur 360 00:19:54,280 --> 00:19:56,400 Speaker 13: rate is between four and four and a half, which 361 00:19:56,440 --> 00:19:58,520 Speaker 13: most people think is where the natural rate is supposed 362 00:19:58,560 --> 00:19:58,720 Speaker 13: to be. 363 00:19:59,440 --> 00:20:01,159 Speaker 6: The second thing is that the. 364 00:20:02,680 --> 00:20:05,760 Speaker 13: Numbers are showing that the unapployment rate has gone up 365 00:20:05,800 --> 00:20:08,920 Speaker 13: because the labor force has grown more than the population. 366 00:20:09,920 --> 00:20:13,600 Speaker 13: The layoffs are starting to mount up this month, but 367 00:20:13,680 --> 00:20:16,040 Speaker 13: this is the first month of layoffs that we've seen, 368 00:20:16,359 --> 00:20:19,560 Speaker 13: So for me, I think the recession calls and your 369 00:20:19,600 --> 00:20:21,320 Speaker 13: fears in the markets are way overreaction. 370 00:20:21,840 --> 00:20:24,080 Speaker 8: And I'm glad you brought that up, Bill, because Alex 371 00:20:24,119 --> 00:20:26,360 Speaker 8: and I earlier were talking about the latest alien fed 372 00:20:26,400 --> 00:20:29,160 Speaker 8: GDP NOW number for the third carter coming in at 373 00:20:29,200 --> 00:20:30,520 Speaker 8: two and a half percent, and as you know that 374 00:20:30,520 --> 00:20:32,560 Speaker 8: those numbers can be volatile, but still, when you're looking 375 00:20:32,600 --> 00:20:34,680 Speaker 8: at kind of the trajector you're here for, economic growth 376 00:20:34,680 --> 00:20:37,520 Speaker 8: still looks pretty solid when you're talking about the dynamics 377 00:20:37,520 --> 00:20:40,240 Speaker 8: within the labor market and particularly the participation rate. 378 00:20:40,280 --> 00:20:42,440 Speaker 4: How much does that plan into. 379 00:20:42,320 --> 00:20:44,239 Speaker 8: Especially when you see a number drop like that, as 380 00:20:44,240 --> 00:20:47,600 Speaker 8: far as who's coming into the workforce and who's leaving it, that's. 381 00:20:47,440 --> 00:20:49,520 Speaker 13: Really critical, Jess, And I'm glad you brought that up, 382 00:20:49,640 --> 00:20:52,240 Speaker 13: because as much as people point to the SAM rule 383 00:20:52,280 --> 00:20:55,320 Speaker 13: and the unopplanneer rate rising as being a recession indicator, 384 00:20:55,560 --> 00:20:57,919 Speaker 13: a lot of indicators and historical relationships like that have 385 00:20:58,080 --> 00:21:00,720 Speaker 13: just not worked so well long as the you'll curb 386 00:21:00,720 --> 00:21:02,840 Speaker 13: been inverted, for example, and people have said, oh my god, 387 00:21:02,880 --> 00:21:05,639 Speaker 13: that's always a good indicator that in a receect. So 388 00:21:05,800 --> 00:21:08,520 Speaker 13: so I think we have to look at carefully at 389 00:21:08,520 --> 00:21:11,840 Speaker 13: that composition of the labor force. And what we see 390 00:21:11,880 --> 00:21:14,800 Speaker 13: is that immigration and other factors have and people just 391 00:21:14,840 --> 00:21:17,359 Speaker 13: wanted to work now because it's easier to get to 392 00:21:17,440 --> 00:21:20,520 Speaker 13: work uh, and there are more jobs readily available, so 393 00:21:20,560 --> 00:21:24,320 Speaker 13: people are encouraged to participate and try to try to 394 00:21:24,359 --> 00:21:25,320 Speaker 13: try to get more jobs. 395 00:21:25,520 --> 00:21:25,680 Speaker 6: Now. 396 00:21:25,720 --> 00:21:28,800 Speaker 13: The bad part about this is that consumers have been 397 00:21:28,800 --> 00:21:31,560 Speaker 13: spending like crazy, as we know, uh, and savings rates 398 00:21:31,560 --> 00:21:33,680 Speaker 13: have been dropping. Now the rich people have been dipping 399 00:21:33,680 --> 00:21:38,040 Speaker 13: into savings. But you know, median worker and the lower 400 00:21:38,080 --> 00:21:40,760 Speaker 13: half the population have really been resilting to a lot 401 00:21:40,760 --> 00:21:43,280 Speaker 13: of credit in order to make ends meet, and and 402 00:21:43,280 --> 00:21:45,679 Speaker 13: and part of that making ends meet is getting a 403 00:21:45,720 --> 00:21:49,120 Speaker 13: second and third job, because most jobs that are available 404 00:21:49,160 --> 00:21:52,320 Speaker 13: right now are leisure, hospitality, and sectors in the economy 405 00:21:52,359 --> 00:21:54,840 Speaker 13: where they just just aren't that high. So for me, 406 00:21:55,000 --> 00:21:58,439 Speaker 13: the real problem out there is the growing bifurcation in 407 00:21:58,520 --> 00:22:01,320 Speaker 13: the population of rich and poor. And I think we're 408 00:22:01,320 --> 00:22:02,840 Speaker 13: going to start to see more and more of that 409 00:22:03,560 --> 00:22:04,879 Speaker 13: as we go toward the election. 410 00:22:05,720 --> 00:22:09,520 Speaker 2: I mean, yeah, that shape recovery. Your economy just keeps 411 00:22:09,520 --> 00:22:13,960 Speaker 2: getting more ca shaped. Your old Alma mater a city 412 00:22:14,000 --> 00:22:16,520 Speaker 2: group I came out with their call. It's one hundred 413 00:22:16,520 --> 00:22:18,160 Speaker 2: and twenty five basis points for this year in terms 414 00:22:18,160 --> 00:22:21,920 Speaker 2: of cuts fifteen and September fifteen, November twenty five for December. 415 00:22:22,040 --> 00:22:24,120 Speaker 2: That feels like one of the more dubvish calls out there. 416 00:22:24,160 --> 00:22:26,320 Speaker 2: Do you think that's an economy that needs that kind 417 00:22:26,320 --> 00:22:26,720 Speaker 2: of move? 418 00:22:28,160 --> 00:22:31,240 Speaker 13: Well, I'm glad we're not there anymore because the need 419 00:22:31,280 --> 00:22:33,639 Speaker 13: to attract client attention is something that I don't need 420 00:22:33,680 --> 00:22:36,600 Speaker 13: to worry about anymore. And I feel sorry for Andrew Hollendhorse, 421 00:22:36,760 --> 00:22:39,120 Speaker 13: who's still in the business of trying to distinguish themselves 422 00:22:39,240 --> 00:22:41,960 Speaker 13: from every other economists out there. I think that's a 423 00:22:42,040 --> 00:22:45,520 Speaker 13: bit overboard from my experience at the FED. I think 424 00:22:45,520 --> 00:22:48,600 Speaker 13: the reaction at the Board and among all the district banks, 425 00:22:48,760 --> 00:22:52,760 Speaker 13: they'll be saying, you know, we're normalizing the economy. The 426 00:22:52,800 --> 00:22:56,399 Speaker 13: need for large number of rate increases is really not there, 427 00:22:56,680 --> 00:22:58,439 Speaker 13: and if we were to do it, it would signal 428 00:22:58,520 --> 00:23:00,840 Speaker 13: to the markets that there's some thing to really worry 429 00:23:00,880 --> 00:23:04,639 Speaker 13: about and that we're panicking. And the need to panic 430 00:23:04,720 --> 00:23:08,280 Speaker 13: right now is avoiding the impression of panicking right now 431 00:23:08,320 --> 00:23:09,680 Speaker 13: is at the paramount for the FED. 432 00:23:10,000 --> 00:23:12,080 Speaker 6: So I think we're going to see twenty. 433 00:23:11,920 --> 00:23:15,560 Speaker 13: Five basis points in September, and maybe if the data 434 00:23:15,600 --> 00:23:19,920 Speaker 13: continue to deteriorate like this, they'll talk about a more 435 00:23:19,960 --> 00:23:23,680 Speaker 13: continued set of rate increases and probably hint at three. 436 00:23:24,119 --> 00:23:26,080 Speaker 13: But if the data starts to turn around a bit 437 00:23:26,240 --> 00:23:29,359 Speaker 13: and stabilize and normalize and we don't see an acceleration 438 00:23:29,520 --> 00:23:31,960 Speaker 13: in the worstening, I think they're going to say, you know, 439 00:23:32,160 --> 00:23:33,120 Speaker 13: possibly too. 440 00:23:33,840 --> 00:23:38,280 Speaker 8: Where do you see average job growth coming in over 441 00:23:38,320 --> 00:23:41,720 Speaker 8: the next twelve months? With the expectations that the FED 442 00:23:41,800 --> 00:23:43,800 Speaker 8: is going to begin its rate cutting cycle. 443 00:23:45,200 --> 00:23:45,520 Speaker 6: Yeah. 444 00:23:45,880 --> 00:23:49,320 Speaker 13: I think when we look at where the payrolls are weakening, 445 00:23:49,440 --> 00:23:51,920 Speaker 13: it's exactly in those sectors where the FED wants it 446 00:23:52,000 --> 00:23:55,080 Speaker 13: to weaken, the intrasensitive sectors. In fact, one surprising part 447 00:23:55,080 --> 00:23:58,680 Speaker 13: of the numbers is how strong construction continues to be. 448 00:23:59,320 --> 00:24:01,240 Speaker 13: But I think the FED is going to start saying, 449 00:24:01,520 --> 00:24:04,320 Speaker 13: if we are successful in normalizing interest rates and normalizing 450 00:24:04,320 --> 00:24:09,080 Speaker 13: the economy, we'll see payrolls and household employment growth somewhere 451 00:24:09,080 --> 00:24:10,840 Speaker 13: in the one hundred thousand, tw one hundred and twenty 452 00:24:10,880 --> 00:24:11,680 Speaker 13: thousand range. 453 00:24:11,840 --> 00:24:12,600 Speaker 6: That's normal. 454 00:24:13,280 --> 00:24:16,520 Speaker 13: And so everything we've seen up until now at the 455 00:24:16,520 --> 00:24:19,639 Speaker 13: two hundred level is way above normal and not sustainable. 456 00:24:20,640 --> 00:24:23,919 Speaker 5: Here's my broad question. Also, how it relates to tech. 457 00:24:25,440 --> 00:24:29,439 Speaker 2: Hyper scalers are spending gazillions of dollars that's a technical 458 00:24:29,520 --> 00:24:34,120 Speaker 2: term in terms of spending for AI. Can we have 459 00:24:34,280 --> 00:24:39,879 Speaker 2: a meaningfully weaker economy with that kind of capac spend? 460 00:24:41,440 --> 00:24:44,639 Speaker 13: Great point, because as we see in the numbers this month, 461 00:24:44,960 --> 00:24:49,560 Speaker 13: one of the surprising sources of job of job decline 462 00:24:49,720 --> 00:24:53,600 Speaker 13: payroll decline is in information systems. Now, fortunately, most of 463 00:24:53,680 --> 00:24:56,520 Speaker 13: that almost half of that is because of broadcasting and 464 00:24:56,560 --> 00:24:59,640 Speaker 13: newspapers and publishing. But there is a component that talks 465 00:24:59,680 --> 00:25:03,879 Speaker 13: about where the hyperscalers are and that also shows a 466 00:25:04,000 --> 00:25:08,520 Speaker 13: small set of job the payroll declines, and I think 467 00:25:08,520 --> 00:25:11,440 Speaker 13: what we're seeing is that companies are having to rationalize 468 00:25:11,520 --> 00:25:13,800 Speaker 13: their finances and to say, if we're going to spend 469 00:25:13,800 --> 00:25:17,080 Speaker 13: a lot on capex, that means that we're using capital, 470 00:25:17,640 --> 00:25:21,840 Speaker 13: AI and other types of innovations to substitute for labor, 471 00:25:22,480 --> 00:25:26,359 Speaker 13: and especially labor that's very expensive labor. So right now, 472 00:25:26,400 --> 00:25:28,520 Speaker 13: if you don't have the right skill set in the 473 00:25:28,560 --> 00:25:31,720 Speaker 13: IT high tech industry, your jobs are on the line 474 00:25:31,720 --> 00:25:35,400 Speaker 13: because you can have to prove to the employer that 475 00:25:35,520 --> 00:25:38,840 Speaker 13: you're you're going to be a value added producer going 476 00:25:38,880 --> 00:25:42,880 Speaker 13: forward in a world where AI threatens to take over 477 00:25:43,040 --> 00:25:45,399 Speaker 13: a lot of the skilled jobs, skilled jobs like you know, 478 00:25:46,640 --> 00:25:50,200 Speaker 13: entry level programmers, where software itself is being written by 479 00:25:50,240 --> 00:25:53,200 Speaker 13: the AI software that's being installed. 480 00:25:53,720 --> 00:25:56,640 Speaker 8: So with Jackson Hole obviously coming up at the end 481 00:25:56,760 --> 00:25:58,800 Speaker 8: of this month, so we'll have a lot of different 482 00:25:58,840 --> 00:26:01,840 Speaker 8: FED speakers between now and then in LX a few weeks. 483 00:26:01,880 --> 00:26:07,200 Speaker 4: I know Alex is excited about that obviously. That September eighteenth, decision. 484 00:26:06,800 --> 00:26:08,919 Speaker 8: Being the next meeting for the Federal Reserve WIL to 485 00:26:08,960 --> 00:26:11,200 Speaker 8: decide on rate cut expectations. But how many rate cuts 486 00:26:11,240 --> 00:26:14,400 Speaker 8: are you really forecasting, either for this year or over 487 00:26:14,440 --> 00:26:16,600 Speaker 8: the next twelve months, Because, like we've been talking about 488 00:26:16,600 --> 00:26:18,720 Speaker 8: so much, Alex and I, the economy is still strong. 489 00:26:18,760 --> 00:26:20,159 Speaker 8: I mean, it doesn't seem like this is going to 490 00:26:20,200 --> 00:26:23,320 Speaker 8: necessarily need to be an aggressive rate cutting cycle like 491 00:26:23,359 --> 00:26:25,560 Speaker 8: something you would have seen during the pandemic or the 492 00:26:25,600 --> 00:26:28,359 Speaker 8: Great Financial Crisis or coming out of the dot com 493 00:26:28,720 --> 00:26:32,800 Speaker 8: bubble bursting here with the economic growth still pretty sturdy here, 494 00:26:32,800 --> 00:26:33,960 Speaker 8: So what are you for seeing here? 495 00:26:34,760 --> 00:26:37,720 Speaker 13: That's a great question, because I think the real boat onus, 496 00:26:37,760 --> 00:26:42,200 Speaker 13: on shairpal Now is at Jackson Hole to calm Lamarks 497 00:26:42,240 --> 00:26:45,120 Speaker 13: and say we're not in a recession, we're not panicking. 498 00:26:45,400 --> 00:26:47,160 Speaker 6: We are in a normalizing situation. 499 00:26:47,560 --> 00:26:49,880 Speaker 13: That has to be as primary message, and in doing 500 00:26:49,920 --> 00:26:53,800 Speaker 13: so he will try to hint more at the expect 501 00:26:53,960 --> 00:26:56,720 Speaker 13: two cuts possibly three for the rest of this year, 502 00:26:57,600 --> 00:27:00,840 Speaker 13: and nowhere near the levels of fifty pace points initially, 503 00:27:00,880 --> 00:27:05,119 Speaker 13: and we'll front loaded with two the COVID of two cuts, 504 00:27:05,359 --> 00:27:07,399 Speaker 13: and we'll have to continue with two more for the. 505 00:27:07,400 --> 00:27:07,920 Speaker 6: Rest of the year. 506 00:27:08,240 --> 00:27:10,440 Speaker 13: That would be the wrong message to said, because right 507 00:27:10,440 --> 00:27:15,040 Speaker 13: now markets are way over excited about the possibility of recession. 508 00:27:15,080 --> 00:27:18,200 Speaker 13: I think his job in Jackson Hall will be calm 509 00:27:18,240 --> 00:27:21,480 Speaker 13: to the markets and calm expectations, and to restore a 510 00:27:21,520 --> 00:27:24,840 Speaker 13: sense of historical perspective as to what is normal and 511 00:27:25,800 --> 00:27:28,680 Speaker 13: what is a normal FED reaction to what's going on, 512 00:27:28,800 --> 00:27:32,520 Speaker 13: which is moderating interest rates because they are restricted right now, 513 00:27:32,560 --> 00:27:35,200 Speaker 13: there's no question, But we don't need to panic and 514 00:27:35,720 --> 00:27:36,840 Speaker 13: cut them so aggressively. 515 00:27:37,119 --> 00:27:38,800 Speaker 2: All right, Bill, we appreciate it was great to talk 516 00:27:38,840 --> 00:27:40,160 Speaker 2: to you again. It's been a while for me, Bill, 517 00:27:40,240 --> 00:27:42,520 Speaker 2: the chief economist at Milk and Institute. 518 00:27:42,560 --> 00:27:44,000 Speaker 5: Really good to get that perspective. 519 00:27:44,080 --> 00:27:46,920 Speaker 2: So sort of walking that tightrope then of having to 520 00:27:46,960 --> 00:27:50,320 Speaker 2: work back some expectations now for more FED cuts, but 521 00:27:50,480 --> 00:27:52,879 Speaker 2: keep showing that the economy does need a little bit 522 00:27:52,920 --> 00:27:55,600 Speaker 2: of support. That is another kind of tight rope balancing 523 00:27:56,000 --> 00:27:57,679 Speaker 2: that the Fed's going to have to do over the 524 00:27:57,680 --> 00:27:58,600 Speaker 2: next few weeks. 525 00:28:00,280 --> 00:28:04,160 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 526 00:28:04,240 --> 00:28:07,760 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 527 00:28:07,800 --> 00:28:10,560 Speaker 1: Auto with the Bloomberg Business app. You can also listen 528 00:28:10,680 --> 00:28:13,760 Speaker 1: live on Amazon Alexa from our flagship New York station. 529 00:28:14,160 --> 00:28:16,920 Speaker 1: Just say Alexa, play Bloomberg eleven thirty. 530 00:28:18,520 --> 00:28:20,000 Speaker 5: This is Bloomberg Intelligence Radio. 531 00:28:20,000 --> 00:28:21,879 Speaker 2: We bring you all the top news in business and 532 00:28:21,880 --> 00:28:24,359 Speaker 2: finance and economics, and we are live from Interactive Broker 533 00:28:24,400 --> 00:28:27,480 Speaker 2: Studio right here in Midtown Manhattan. Also check us out 534 00:28:27,920 --> 00:28:30,160 Speaker 2: on YouTube. All right, you just heard a market check there. 535 00:28:30,200 --> 00:28:33,399 Speaker 2: It is ugly out there. I go back to Cameron 536 00:28:33,440 --> 00:28:35,840 Speaker 2: christ Macroman. He writes her Bloomberg that says, who's going 537 00:28:35,880 --> 00:28:36,600 Speaker 2: to save the market? 538 00:28:36,720 --> 00:28:38,320 Speaker 5: Help me be one? You're my only hope. 539 00:28:38,600 --> 00:28:40,880 Speaker 2: Who's the only hope? Is it going to be Nvidia? 540 00:28:41,080 --> 00:28:42,880 Speaker 2: Is it going to be Powell? Is it something else? 541 00:28:43,360 --> 00:28:46,000 Speaker 2: Ben Emmons is chief investment officer and founder at fed 542 00:28:46,080 --> 00:28:49,720 Speaker 2: Watch Advisors. He joins us, Now, Ben, what saves the market? 543 00:28:51,040 --> 00:28:53,160 Speaker 12: Yeah, it would be the feth if I say feed 544 00:28:53,200 --> 00:28:57,080 Speaker 12: Watch Advisors, because you know, this is clearly a Loucal 545 00:28:57,200 --> 00:29:00,440 Speaker 12: for fifty basis boys right now, right because of this 546 00:29:00,480 --> 00:29:04,080 Speaker 12: week Bayrold data. Then again, you know, drilling the report, 547 00:29:04,160 --> 00:29:06,760 Speaker 12: it's a lot about technology jobs. I guess this is 548 00:29:06,760 --> 00:29:08,960 Speaker 12: what Powell really said. It's like the leags are showing 549 00:29:09,040 --> 00:29:11,480 Speaker 12: up in the economy, right. The variable lags of policy 550 00:29:12,000 --> 00:29:14,360 Speaker 12: and technology gets hit but at the most and guess what, 551 00:29:14,440 --> 00:29:17,040 Speaker 12: that's social down the most today in the market. So 552 00:29:17,080 --> 00:29:19,560 Speaker 12: I think alex is a fifty base boy cut that 553 00:29:19,600 --> 00:29:21,240 Speaker 12: the FED would have to deliver. Of course it's not 554 00:29:21,280 --> 00:29:23,160 Speaker 12: going to do it, but I do think that this 555 00:29:23,280 --> 00:29:25,800 Speaker 12: report sets us up for the September media for sure, 556 00:29:26,160 --> 00:29:29,200 Speaker 12: as Powell's sort of signaled it, so Marcus will eventually 557 00:29:29,240 --> 00:29:31,520 Speaker 12: rebound from this. It looks like to me it was 558 00:29:31,840 --> 00:29:36,040 Speaker 12: obviously overshooting to the downstrom both yields and stars, and. 559 00:29:36,040 --> 00:29:39,320 Speaker 8: Especially coming off the back as you know, beIN from 560 00:29:39,640 --> 00:29:42,120 Speaker 8: how signaling that those rate cuts are coming as soon 561 00:29:42,320 --> 00:29:44,440 Speaker 8: as a September Here, I mean, how much of this 562 00:29:44,600 --> 00:29:47,360 Speaker 8: really changed from the last forty eight hours, because obviously 563 00:29:47,520 --> 00:29:50,520 Speaker 8: we did get that manufacturing data yesterday. Of course we 564 00:29:50,560 --> 00:29:53,040 Speaker 8: had the jobs dated this morning, but we already saw 565 00:29:53,080 --> 00:29:56,440 Speaker 8: this decline really ramping up yesterday after a huge balance 566 00:29:56,440 --> 00:29:59,160 Speaker 8: at a huge rally with the NASDAC up around three 567 00:29:59,240 --> 00:30:01,560 Speaker 8: percent on Wednesday, and obviously the S and P five 568 00:30:01,640 --> 00:30:04,560 Speaker 8: hundred posting it's best FED day in about two years here, 569 00:30:04,640 --> 00:30:06,400 Speaker 8: So how much of this is kind of like a 570 00:30:06,480 --> 00:30:08,720 Speaker 8: re rotation here moving into other corners of the market 571 00:30:08,760 --> 00:30:11,520 Speaker 8: when you had speculative areas like small caps really get 572 00:30:11,520 --> 00:30:14,000 Speaker 8: ahead of themselves, especially in July and now moving maybe 573 00:30:14,000 --> 00:30:15,880 Speaker 8: toward these kind of divid in paying corners of the 574 00:30:15,880 --> 00:30:16,400 Speaker 8: market here. 575 00:30:17,400 --> 00:30:19,960 Speaker 12: Yeah, I think it's totally right. Yes, you know, there's 576 00:30:20,000 --> 00:30:22,960 Speaker 12: a really nice rotation function on the Boombook terminal that 577 00:30:23,040 --> 00:30:26,880 Speaker 12: shows exactly that you see precisely deportation playing out the 578 00:30:27,120 --> 00:30:30,720 Speaker 12: sextici you described. So it is also about that people 579 00:30:30,760 --> 00:30:33,360 Speaker 12: look at this like, you know, there's an election playing 580 00:30:33,360 --> 00:30:35,400 Speaker 12: out here too. You know, Harris catching up really quick 581 00:30:35,400 --> 00:30:37,160 Speaker 12: to Trump in the polls, raising a lot of money. 582 00:30:37,280 --> 00:30:39,400 Speaker 12: So the Trump trade that's fading, and that Trump trade 583 00:30:39,480 --> 00:30:42,720 Speaker 12: was very associated with small caps against the backdrop of 584 00:30:42,800 --> 00:30:45,680 Speaker 12: an economy that's just softening. I don't think this is 585 00:30:45,720 --> 00:30:48,960 Speaker 12: the two thousand and seven suddenly we're in a recession 586 00:30:49,400 --> 00:30:52,440 Speaker 12: moments right with the back then the idea, But I 587 00:30:52,520 --> 00:30:55,000 Speaker 12: do think the yuk of steepening indicates, yeah, the eclumns 588 00:30:55,040 --> 00:30:57,959 Speaker 12: on a much slower path and you're getting lower payrolls. 589 00:30:58,400 --> 00:31:00,600 Speaker 12: And you know, small caps don't do that great initially 590 00:31:00,640 --> 00:31:03,680 Speaker 12: on that type of news. So there's a combination of two. 591 00:31:04,200 --> 00:31:06,400 Speaker 12: I think that rotation will continue. That's why I think 592 00:31:06,480 --> 00:31:09,320 Speaker 12: that the shell of the tech stocks is probably getting 593 00:31:09,760 --> 00:31:13,120 Speaker 12: overshot to the downside, makes these stocks over sold, and 594 00:31:13,120 --> 00:31:15,120 Speaker 12: that's why I think you can expect the rebound coming 595 00:31:15,160 --> 00:31:16,680 Speaker 12: in once they settle out there. 596 00:31:17,560 --> 00:31:19,760 Speaker 2: When you mentioned this is a clear call for the 597 00:31:19,800 --> 00:31:22,600 Speaker 2: FED to cut like right now, gun calls for fifty 598 00:31:22,600 --> 00:31:25,320 Speaker 2: basis points now from City JP Morgan, you also mentioned that, 599 00:31:25,560 --> 00:31:27,480 Speaker 2: I guess my dumb question here is why. 600 00:31:27,920 --> 00:31:30,680 Speaker 5: I mean, I understand that the report wasn't great. 601 00:31:31,400 --> 00:31:34,920 Speaker 2: There's obviously you can look at some potential seasonality, like 602 00:31:34,960 --> 00:31:39,760 Speaker 2: the permanently unemployed people. A lot of them are temporary unemployed. 603 00:31:39,800 --> 00:31:42,800 Speaker 2: In terms of the overall number. You could also make 604 00:31:42,840 --> 00:31:45,640 Speaker 2: an argument there is a weather factor, even though I 605 00:31:45,720 --> 00:31:49,280 Speaker 2: understand some of the headlines showed no, but why the urgency? 606 00:31:50,800 --> 00:31:52,720 Speaker 12: Yeah, And that's the puzzle of it. Alex like to 607 00:31:52,840 --> 00:31:55,520 Speaker 12: know why that sentiment shifts suddenly. But I think that 608 00:31:55,560 --> 00:31:58,120 Speaker 12: people are looking at maybe the accumulation of data and 609 00:31:58,200 --> 00:32:01,280 Speaker 12: so claims are steadily rising, The full we gaverage is 610 00:32:01,280 --> 00:32:05,720 Speaker 12: steadily rising. We're closer to that Zamble trigger, not exactly. 611 00:32:05,760 --> 00:32:07,440 Speaker 12: You know, Mike and kea at a nice spreadsheet this 612 00:32:07,520 --> 00:32:09,960 Speaker 12: morning on the show, and it says like you're just 613 00:32:10,000 --> 00:32:12,200 Speaker 12: a tenth of whatever percent away from that trigger. But 614 00:32:12,520 --> 00:32:15,400 Speaker 12: I think that's that it's a psychology ultimately, even the 615 00:32:15,520 --> 00:32:18,240 Speaker 12: Poul says that that rule is just a statistical measure, 616 00:32:18,320 --> 00:32:21,160 Speaker 12: nothing else. So it's psychology here that plays a role. 617 00:32:21,200 --> 00:32:25,000 Speaker 12: And you know, ultimately it's about like the fat can 618 00:32:25,160 --> 00:32:28,560 Speaker 12: really cut rates one and it could move more of 619 00:32:28,600 --> 00:32:31,560 Speaker 12: the restriction. And if you're drill the reports, you say, 620 00:32:31,800 --> 00:32:34,040 Speaker 12: there's definitely reasons why you don't have to cut with 621 00:32:34,240 --> 00:32:38,040 Speaker 12: like slashing rates because espaceally, you also have strong job 622 00:32:38,080 --> 00:32:42,479 Speaker 12: gains in healthcare and construction and financial activity and leisure, 623 00:32:42,520 --> 00:32:44,680 Speaker 12: which which have been engines of growth in the economy 624 00:32:44,680 --> 00:32:47,120 Speaker 12: the last several years. So that's not by the weakness 625 00:32:47,120 --> 00:32:50,200 Speaker 12: systems really the technology jobs in itself. So I think 626 00:32:50,240 --> 00:32:53,440 Speaker 12: it's more about psychology that we're fed, you're behind the curve, 627 00:32:53,480 --> 00:32:56,160 Speaker 12: you got to move. Why people are trading the fifty 628 00:32:56,200 --> 00:32:59,560 Speaker 12: base point cut, which as we know, is unlikely to 629 00:32:59,560 --> 00:33:02,760 Speaker 12: be delivered September more than twenty five. So it's more 630 00:33:02,840 --> 00:33:05,480 Speaker 12: like the Fed now gets enough evidence to remove the 631 00:33:05,520 --> 00:33:09,040 Speaker 12: restriction of this policy, and this report just cements that 632 00:33:09,040 --> 00:33:11,760 Speaker 12: that that goal for the to. 633 00:33:11,760 --> 00:33:16,480 Speaker 8: Alex's point, JP Morgan City seeing basically these FED dealing 634 00:33:16,480 --> 00:33:18,520 Speaker 8: two half point rate cuts, but then also you have 635 00:33:18,640 --> 00:33:22,560 Speaker 8: Goldman Sacks over there they added a third quarter point 636 00:33:22,640 --> 00:33:25,680 Speaker 8: rate cut in November to their prior forecast. Also Bank 637 00:33:25,760 --> 00:33:27,680 Speaker 8: of America, who had been holding out for rate cuts 638 00:33:27,680 --> 00:33:29,520 Speaker 8: in the beginning of December, they said they now see 639 00:33:29,760 --> 00:33:32,240 Speaker 8: to look for the first move in actually September here, 640 00:33:32,440 --> 00:33:34,200 Speaker 8: So when you're looking ahead over the next couple of 641 00:33:34,200 --> 00:33:37,560 Speaker 8: weeks for other indicators when it comes to the economy, 642 00:33:37,640 --> 00:33:39,920 Speaker 8: next week's a little bit lighter on the economic calendar, 643 00:33:39,920 --> 00:33:42,720 Speaker 8: but we still have some services related data coming out 644 00:33:42,720 --> 00:33:44,440 Speaker 8: as well. But then the week after that, obviously we'll 645 00:33:44,480 --> 00:33:48,640 Speaker 8: have another update when it comes to CPI on August fourteenth. 646 00:33:48,720 --> 00:33:50,719 Speaker 8: So what are you looking ahead between now and then, 647 00:33:50,720 --> 00:33:53,440 Speaker 8: because next week's also a huge earnings week still on 648 00:33:53,480 --> 00:33:55,280 Speaker 8: the back of coming out of these big tech earnings, 649 00:33:55,320 --> 00:33:57,120 Speaker 8: because you have a lot of consumer focused names that 650 00:33:57,120 --> 00:33:57,960 Speaker 8: are going to be reporting. 651 00:33:59,240 --> 00:34:01,360 Speaker 12: Yeah, I would look at those because that's where I 652 00:34:01,400 --> 00:34:03,640 Speaker 12: think the issue is currently. Right, if you look at 653 00:34:03,680 --> 00:34:06,320 Speaker 12: the current sell of today in the S and B, 654 00:34:06,440 --> 00:34:10,279 Speaker 12: what's the worst performing as sectors The consumer discretionary, right, 655 00:34:10,320 --> 00:34:13,560 Speaker 12: So I think that's where the economic pain point is 656 00:34:13,600 --> 00:34:16,080 Speaker 12: currently today in the markets. So these are earnings from 657 00:34:16,120 --> 00:34:19,799 Speaker 12: these consumer companies are obviously key to watch for any 658 00:34:19,880 --> 00:34:23,879 Speaker 12: kind of significant demand slowdown. Neil McDonald's was I think 659 00:34:23,880 --> 00:34:25,719 Speaker 12: it kind of a wake up goal earlier this week 660 00:34:25,880 --> 00:34:28,520 Speaker 12: that it showed, like, you know what, these consumers aren't 661 00:34:28,520 --> 00:34:31,560 Speaker 12: so out there, you know, eating left and right everything, 662 00:34:31,840 --> 00:34:34,840 Speaker 12: and are more conservative or getting more conservative, so that 663 00:34:34,880 --> 00:34:36,560 Speaker 12: I think it was the first precursor for what the 664 00:34:36,560 --> 00:34:39,200 Speaker 12: consumer sectors really showing that it is this slowdown that 665 00:34:39,280 --> 00:34:43,560 Speaker 12: we've been anticipating, against the sentiment that you once again highlight. 666 00:34:43,600 --> 00:34:45,320 Speaker 12: It's amazing, right, all of a sudden, we're getting a 667 00:34:45,400 --> 00:34:48,799 Speaker 12: repurported Every bank jumps all over one another to add 668 00:34:48,840 --> 00:34:51,759 Speaker 12: more raycuts. Well at first they were reluctant to put 669 00:34:51,760 --> 00:34:54,680 Speaker 12: out ratcuts, right. So I think it's that combination of 670 00:34:54,719 --> 00:34:57,920 Speaker 12: that that bit of the you know, exaggerated sentiment that 671 00:34:58,320 --> 00:35:01,600 Speaker 12: we know over all these years of aline oshaps after 672 00:35:01,719 --> 00:35:06,520 Speaker 12: favoral reports, against the true economic environment, which is slowing. 673 00:35:07,040 --> 00:35:09,600 Speaker 12: I don't think this is the recession moments, but we 674 00:35:09,680 --> 00:35:12,960 Speaker 12: definitely have to concefen is probably overtightening here, therefore they 675 00:35:12,960 --> 00:35:13,600 Speaker 12: can change. 676 00:35:13,760 --> 00:35:15,480 Speaker 5: All right, Ben, we gotta leave it there. Thanks a lot. 677 00:35:15,840 --> 00:35:19,160 Speaker 2: Ben Emmons joining us there from fed Watch Advisors. He's 678 00:35:19,200 --> 00:35:21,160 Speaker 2: the founder and CEO of that. 679 00:35:22,800 --> 00:35:26,720 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 680 00:35:26,760 --> 00:35:30,320 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 681 00:35:30,320 --> 00:35:33,120 Speaker 1: Auto with the Bloomberg Business app. You can also listen 682 00:35:33,239 --> 00:35:36,319 Speaker 1: live on Amazon Alexa from our flagship New York station. 683 00:35:36,680 --> 00:35:40,399 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 684 00:35:40,719 --> 00:35:43,120 Speaker 2: All right, let's get to Amazon. Isn't a tech company? 685 00:35:43,280 --> 00:35:44,960 Speaker 2: Isn't an e commerce company? I feel like this is 686 00:35:44,960 --> 00:35:47,800 Speaker 2: always a question. Putam Goyle is joining us. She's senior 687 00:35:47,880 --> 00:35:50,800 Speaker 2: US e Commerce and retail analyst at Bloomberg Intelligence. Amazon 688 00:35:50,880 --> 00:35:54,000 Speaker 2: stock is down by about twelve percent. I know it's 689 00:35:54,040 --> 00:35:56,160 Speaker 2: a tough tape, so it's hard to really parse out, 690 00:35:56,440 --> 00:35:59,360 Speaker 2: but put them help me understand why the decline in Amazon. 691 00:36:00,280 --> 00:36:03,080 Speaker 7: The decline is largely due to the operating margin guidance, 692 00:36:03,080 --> 00:36:06,439 Speaker 7: which came in below street expectations, as they're investing more 693 00:36:06,520 --> 00:36:09,840 Speaker 7: in Capex, which is really on the AI site to 694 00:36:09,920 --> 00:36:13,239 Speaker 7: support the cloud business. Now, you could argue that they 695 00:36:13,239 --> 00:36:15,800 Speaker 7: did also talk about the consumer and it being weaker 696 00:36:15,840 --> 00:36:17,839 Speaker 7: and it trading down. But I think you know, when 697 00:36:17,840 --> 00:36:20,680 Speaker 7: the consumer trades down, Amazon can still do well and 698 00:36:20,719 --> 00:36:23,279 Speaker 7: take share because they press the pedal on price and 699 00:36:23,320 --> 00:36:26,959 Speaker 7: convenience pretty hard, which draws them the attention that they need. 700 00:36:28,719 --> 00:36:31,960 Speaker 8: So when you look at Amazon and mov function, maz 701 00:36:32,080 --> 00:36:33,960 Speaker 8: and is the ticker symbol on this. So, like Alex 702 00:36:34,040 --> 00:36:36,240 Speaker 8: was talking about down twelve percent, it's actually the worst 703 00:36:36,239 --> 00:36:38,399 Speaker 8: performer in the S and P five hundred and also 704 00:36:38,520 --> 00:36:43,239 Speaker 8: dragging down the com communication the consumer discretionary sector down 705 00:36:43,280 --> 00:36:44,600 Speaker 8: over five percent right now. 706 00:36:44,760 --> 00:36:46,640 Speaker 4: So when it comes to especially when you think. 707 00:36:46,480 --> 00:36:49,239 Speaker 8: Of spinders that feed into in video, because that was 708 00:36:49,280 --> 00:36:51,160 Speaker 8: something that when it comes to those customers, because we 709 00:36:51,160 --> 00:36:54,040 Speaker 8: won't hear from Nvidia until August twenty eighth, so a 710 00:36:54,080 --> 00:36:56,240 Speaker 8: lot of people coming into this week we're looking toward 711 00:36:56,480 --> 00:36:59,800 Speaker 8: in Vidia's customers because if you looked at say Amazon 712 00:36:59,920 --> 00:37:03,600 Speaker 8: or even Meta Alphabet and others who you know, if 713 00:37:03,600 --> 00:37:06,560 Speaker 8: you combined their CAPEX spending over the prior four quarters 714 00:37:06,600 --> 00:37:09,239 Speaker 8: before this earning season, it was around one hundred and 715 00:37:09,280 --> 00:37:11,560 Speaker 8: fifty billion dollars. So the thing was, well they pull 716 00:37:11,640 --> 00:37:13,480 Speaker 8: back or not. For the most part, we still saw 717 00:37:13,520 --> 00:37:15,160 Speaker 8: a lot of spending. So I'm kind of wondering from 718 00:37:15,160 --> 00:37:17,560 Speaker 8: that equation, Punam, what are you seeing there as far 719 00:37:17,600 --> 00:37:20,279 Speaker 8: as what this could potentially mean for a stock like 720 00:37:20,320 --> 00:37:22,319 Speaker 8: in Video because obviously this is more of a discretionary 721 00:37:22,320 --> 00:37:24,160 Speaker 8: type company when it comes to Amazon. But when it 722 00:37:24,160 --> 00:37:26,359 Speaker 8: comes to the spending, how do you parse. 723 00:37:26,080 --> 00:37:28,360 Speaker 10: That sure stuf? For Amazon? 724 00:37:28,400 --> 00:37:29,680 Speaker 7: The one thing you have to keep in mind that 725 00:37:29,719 --> 00:37:33,480 Speaker 7: there were behind the AI wave, right, so they're investing 726 00:37:33,520 --> 00:37:36,520 Speaker 7: more into AI than maybe some of their peers, and 727 00:37:36,560 --> 00:37:38,640 Speaker 7: we think that's the reason that you're seeing a tickup 728 00:37:38,640 --> 00:37:40,920 Speaker 7: in the second half from the thirty point five billion 729 00:37:40,960 --> 00:37:43,000 Speaker 7: in the first half. Now, when it comes to some 730 00:37:43,080 --> 00:37:46,000 Speaker 7: of their counterparts, they've been ahead of the curve and 731 00:37:46,040 --> 00:37:48,960 Speaker 7: they could, depending on where their sales come out and 732 00:37:48,960 --> 00:37:52,160 Speaker 7: where consumer demand is, they could continue at a steady 733 00:37:52,200 --> 00:37:54,319 Speaker 7: pace or even pull back a little because they are 734 00:37:54,360 --> 00:37:55,400 Speaker 7: somewhat ahead of the curve. 735 00:37:55,840 --> 00:37:59,080 Speaker 2: This is a super basic, dumb question. As they ramp 736 00:37:59,200 --> 00:38:01,040 Speaker 2: up their AI stuff, how does that help them with 737 00:38:01,120 --> 00:38:02,759 Speaker 2: e commerce? And so that's such a huge chunge of 738 00:38:02,760 --> 00:38:05,319 Speaker 2: their business. Like I know that the AWS is a 739 00:38:05,320 --> 00:38:08,040 Speaker 2: sexy growing part, but when you look at revenue, whether 740 00:38:08,080 --> 00:38:11,279 Speaker 2: it's e commerce or online stores, it's still double what 741 00:38:11,320 --> 00:38:12,680 Speaker 2: AWS brings in. 742 00:38:13,000 --> 00:38:13,960 Speaker 5: How does AI help that? 743 00:38:15,480 --> 00:38:18,440 Speaker 7: AI is actually a big big deal in the retail 744 00:38:18,480 --> 00:38:20,440 Speaker 7: space and the e commerce space. So when you think 745 00:38:20,440 --> 00:38:22,560 Speaker 7: about AI, what it helps them do is it helps 746 00:38:22,560 --> 00:38:25,520 Speaker 7: them across all facets of their e commerce business, whether 747 00:38:25,560 --> 00:38:28,240 Speaker 7: that's search, right, So you go into the Amazon search 748 00:38:28,280 --> 00:38:30,680 Speaker 7: for and let's say you know you're used to typing 749 00:38:30,680 --> 00:38:32,719 Speaker 7: in I want to black dress, but now you don't 750 00:38:32,719 --> 00:38:35,160 Speaker 7: have to. You can say going to black tie event, right, 751 00:38:35,200 --> 00:38:38,040 Speaker 7: and they should be able to populate addresses that gover that. 752 00:38:38,280 --> 00:38:41,319 Speaker 7: So conversion is one of the biggest pain points in 753 00:38:41,440 --> 00:38:44,680 Speaker 7: e commerce. You're going online to browse more than you 754 00:38:44,719 --> 00:38:46,839 Speaker 7: are to buy, whereas you're going in store to buy 755 00:38:46,960 --> 00:38:49,440 Speaker 7: more than you are to browse. So I think as 756 00:38:49,760 --> 00:38:53,239 Speaker 7: what AI can do in a meaningful ways improve conversion 757 00:38:53,560 --> 00:38:56,680 Speaker 7: because you can get the results that you're looking for faster, 758 00:38:57,239 --> 00:38:59,960 Speaker 7: you can improve the shopping journey, you can get customers 759 00:39:00,080 --> 00:39:03,719 Speaker 7: to find what they want more easily, and not just that. Right, 760 00:39:03,760 --> 00:39:06,440 Speaker 7: they're using AIA just for the search, but they're using 761 00:39:06,480 --> 00:39:08,879 Speaker 7: it in customer service, they're using it for inventory, they're 762 00:39:08,960 --> 00:39:12,840 Speaker 7: using it and they're automated shopping platforms like the Roofs 763 00:39:12,960 --> 00:39:15,640 Speaker 7: or the Alexa. So there's a lot that's happening with 764 00:39:16,400 --> 00:39:20,759 Speaker 7: generative AI, especially which we think will help drive retail 765 00:39:21,080 --> 00:39:22,480 Speaker 7: higher for a long time. 766 00:39:23,000 --> 00:39:25,439 Speaker 8: We only have about a minute left here, but you've 767 00:39:25,440 --> 00:39:27,640 Speaker 8: talked about also how when it comes to the margin 768 00:39:27,680 --> 00:39:31,360 Speaker 8: equation for Amazon, how you're seeing that expanding over the 769 00:39:31,400 --> 00:39:33,520 Speaker 8: long term. And as you know, Alex, when you think 770 00:39:33,520 --> 00:39:36,400 Speaker 8: of the discretionary sector margins coming out of COVID, that 771 00:39:36,440 --> 00:39:38,840 Speaker 8: was such a big issue because of the inflationary pressures. 772 00:39:39,120 --> 00:39:41,439 Speaker 8: So I'm wondering Punin when you're thinking about that, because 773 00:39:41,440 --> 00:39:43,399 Speaker 8: if you're not an Amazon, or maybe like a home 774 00:39:43,480 --> 00:39:45,719 Speaker 8: durable like a home depot, a lot of those other 775 00:39:45,760 --> 00:39:48,000 Speaker 8: retailers are struggling. So what are you seeing from the 776 00:39:48,040 --> 00:39:50,759 Speaker 8: margin aspect maybe more broadly, or what can Amazon tell 777 00:39:50,840 --> 00:39:53,440 Speaker 8: us kind of moving forward what that means for discretionary 778 00:39:53,520 --> 00:39:55,160 Speaker 8: type of companies in the retail space. 779 00:39:56,000 --> 00:39:58,480 Speaker 7: Sure, so remember Amazon is a retail company, but it's 780 00:39:58,480 --> 00:40:02,200 Speaker 7: also a tech company, right. The marketing opportunity for Amazon 781 00:40:02,280 --> 00:40:04,840 Speaker 7: really comes from the tech side. So the cloud business, 782 00:40:04,840 --> 00:40:07,080 Speaker 7: which is about one hundred billion dollars, we estimate that 783 00:40:07,080 --> 00:40:09,800 Speaker 7: going into two hundred billion dollars with a forty percent margin. 784 00:40:10,239 --> 00:40:10,719 Speaker 10: There you go. 785 00:40:10,800 --> 00:40:13,480 Speaker 7: You just added another forty billion dollars in profit. And 786 00:40:13,520 --> 00:40:15,359 Speaker 7: then when you look at the AW, when you look 787 00:40:15,360 --> 00:40:18,000 Speaker 7: at the advertising business, fifty billion dollars run rate going 788 00:40:18,000 --> 00:40:20,880 Speaker 7: to one hundred billion dollars, which we think carries higher 789 00:40:21,000 --> 00:40:24,440 Speaker 7: margin than AWS, you're looking at adding about another fifty 790 00:40:24,480 --> 00:40:27,719 Speaker 7: billion at the minimum or more operating income. So right 791 00:40:27,719 --> 00:40:30,800 Speaker 7: there alone, you're reaching about one hundred billion dollars in 792 00:40:30,840 --> 00:40:33,640 Speaker 7: operating income in the next five years additionally to what 793 00:40:33,719 --> 00:40:37,320 Speaker 7: you have today. And that's the profit driving part of Amazon. 794 00:40:37,920 --> 00:40:40,160 Speaker 7: And you can argue that ads are supported by the 795 00:40:40,200 --> 00:40:41,280 Speaker 7: growing retail business. 796 00:40:41,440 --> 00:40:43,560 Speaker 5: Punam, we got to leave it there up against a break. 797 00:40:43,560 --> 00:40:44,120 Speaker 5: Thank you very much. 798 00:40:44,120 --> 00:40:47,480 Speaker 2: Putnam Gooyle, Senior EUS Commerce analysts for Bloomberg Intelligence. 799 00:40:49,040 --> 00:40:52,919 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 800 00:40:53,000 --> 00:40:56,040 Speaker 1: weekdays at ten am Eastern on Apple car Play and 801 00:40:56,040 --> 00:40:58,959 Speaker 1: Android Auto with the Bloomberg Business app. You can also 802 00:40:59,040 --> 00:41:02,560 Speaker 1: listen live on Amazon Alexa from our flagship New York station, 803 00:41:02,920 --> 00:41:05,680 Speaker 1: Just say Alexa playing Bloomberg eleven thirty. 804 00:41:07,400 --> 00:41:09,960 Speaker 2: This is the Bloomberg Intelligence Radio. So the latest right 805 00:41:10,000 --> 00:41:12,319 Speaker 2: now is that city adjusting its fed rate call. They 806 00:41:12,360 --> 00:41:15,560 Speaker 2: see a fifty basis point cut in September and November, 807 00:41:15,840 --> 00:41:18,520 Speaker 2: and twenty five basis points in December. So things are 808 00:41:18,560 --> 00:41:21,840 Speaker 2: moving fast and furious. What's also being fast and furious 809 00:41:21,920 --> 00:41:24,160 Speaker 2: is Intel stock. I just want to start there because 810 00:41:24,239 --> 00:41:27,000 Speaker 2: it's whenever you have a company like Intel mentioned something 811 00:41:27,080 --> 00:41:30,000 Speaker 2: like liquidity very high up on their earnings, that's never 812 00:41:30,120 --> 00:41:33,080 Speaker 2: really a good sign. That stock is now plummeting twenty 813 00:41:33,160 --> 00:41:35,600 Speaker 2: eight percent. I want to bring an anarag Rana Bloomberg 814 00:41:35,600 --> 00:41:37,320 Speaker 2: Intelligence senior technology analyst. 815 00:41:37,320 --> 00:41:40,000 Speaker 5: You can also hit on Apple as well, but anarag 816 00:41:40,120 --> 00:41:42,120 Speaker 5: I just what happened here? 817 00:41:43,920 --> 00:41:44,439 Speaker 11: Yeah, I mean. 818 00:41:44,400 --> 00:41:47,279 Speaker 14: Mentel is going through restructuring right now, so I mean 819 00:41:47,320 --> 00:41:50,520 Speaker 14: this is just a fallout from that, because remember right now, 820 00:41:51,160 --> 00:41:53,560 Speaker 14: data center is where all the investments are going in 821 00:41:53,600 --> 00:41:56,799 Speaker 14: and in Vidio GPUs is what everybody wants. So that's 822 00:41:56,880 --> 00:41:59,000 Speaker 14: really not playing in the you know, sweet spot of 823 00:41:59,080 --> 00:42:02,080 Speaker 14: what Intel does, big turnaround story, and you know, it 824 00:42:02,160 --> 00:42:03,880 Speaker 14: seems some issues there. 825 00:42:04,320 --> 00:42:06,399 Speaker 8: And as you know, that stock has already been under 826 00:42:06,440 --> 00:42:08,080 Speaker 8: tremendous pressure. 827 00:42:07,920 --> 00:42:09,560 Speaker 4: This year alone too. 828 00:42:09,640 --> 00:42:11,640 Speaker 8: So usually when there's cost cutting efforts, when you hear 829 00:42:11,680 --> 00:42:15,040 Speaker 8: those kind of magic words, usually investors will gravitate toward that, 830 00:42:15,160 --> 00:42:16,799 Speaker 8: especially when you think of say, as you know, Hona 831 00:42:16,840 --> 00:42:18,960 Speaker 8: rog Meta at the end of twenty twenty two when 832 00:42:19,000 --> 00:42:21,760 Speaker 8: it first announced, it's a big tranch of job cuts 833 00:42:21,760 --> 00:42:24,279 Speaker 8: and cost cutting efforts. But with this and especially the 834 00:42:24,320 --> 00:42:27,040 Speaker 8: intricacies that you were just talking about, what exactly is 835 00:42:27,080 --> 00:42:29,400 Speaker 8: it that investors need to see in order to have 836 00:42:29,440 --> 00:42:31,239 Speaker 8: more conviction for a stock like this. 837 00:42:32,840 --> 00:42:34,719 Speaker 14: I think sales growth needs to pick up because at 838 00:42:34,760 --> 00:42:36,440 Speaker 14: the end of the day, unless you see that, you know, 839 00:42:36,480 --> 00:42:38,200 Speaker 14: that's not going to translate into. 840 00:42:38,800 --> 00:42:40,360 Speaker 6: Cash flows and bottom lines. 841 00:42:40,560 --> 00:42:42,359 Speaker 14: You know, in the case of Meta, you know there 842 00:42:42,520 --> 00:42:44,920 Speaker 14: was exus spending, but at the same time, you know 843 00:42:44,960 --> 00:42:48,799 Speaker 14: their digital assets were still being used very aggressively by public, 844 00:42:48,920 --> 00:42:51,919 Speaker 14: you know, whether it's Instagram or WhatsApp, and mean, there's 845 00:42:51,960 --> 00:42:54,560 Speaker 14: no shortage of assets over there. So two different and 846 00:42:54,600 --> 00:42:56,959 Speaker 14: distinct stories in the tech land. 847 00:42:58,040 --> 00:42:58,960 Speaker 5: What do you make of Apple? 848 00:42:59,000 --> 00:43:01,960 Speaker 2: Then it wasn't terrible at all if you're taking a 849 00:43:01,960 --> 00:43:04,080 Speaker 2: look just at the opening market, considering the selloup that 850 00:43:04,080 --> 00:43:06,120 Speaker 2: we're having, and Apple stock is actually up two point 851 00:43:06,160 --> 00:43:07,840 Speaker 2: four percent best stainer as today in. 852 00:43:07,880 --> 00:43:10,719 Speaker 4: The S and P five hundred, Yeah, it was. 853 00:43:10,920 --> 00:43:12,720 Speaker 14: You could say that tech is right. I mean Apple 854 00:43:12,800 --> 00:43:15,640 Speaker 14: is right now the cleanest story in techland only because 855 00:43:15,680 --> 00:43:18,680 Speaker 14: they are not spending billions in capex. They are seeing 856 00:43:18,719 --> 00:43:22,040 Speaker 14: some improvement on their top line and with the promise 857 00:43:22,120 --> 00:43:25,839 Speaker 14: of potentially a refurs cycle on the iPhone coming over 858 00:43:25,880 --> 00:43:27,960 Speaker 14: the next twelve to twenty four months, So things are 859 00:43:28,000 --> 00:43:31,040 Speaker 14: looking good for Apple from a on a relative basis 860 00:43:31,080 --> 00:43:34,360 Speaker 14: when you look at companies like Amazon or Microsoft. 861 00:43:35,000 --> 00:43:38,280 Speaker 8: That's right, and especially because Apple in the first quarter 862 00:43:38,320 --> 00:43:40,239 Speaker 8: it was worst performance relatives to the S and P 863 00:43:40,440 --> 00:43:43,319 Speaker 8: five hundred one of it is worse since the dot 864 00:43:43,320 --> 00:43:45,160 Speaker 8: com bubble burst. But if you look at where it 865 00:43:45,239 --> 00:43:48,400 Speaker 8: was from mid April to now, up almost thirty percent 866 00:43:48,480 --> 00:43:49,080 Speaker 8: in that span. 867 00:43:49,239 --> 00:43:51,240 Speaker 4: So even though there were concerns. 868 00:43:50,800 --> 00:43:54,040 Speaker 8: About China and is the latest earnings report still there's 869 00:43:54,080 --> 00:43:56,040 Speaker 8: more optimism on all the other side of that. So 870 00:43:56,200 --> 00:43:57,680 Speaker 8: what improvements when it comes to China? 871 00:43:57,760 --> 00:43:58,440 Speaker 4: Have you seen there? 872 00:43:59,760 --> 00:43:59,960 Speaker 8: Yeah? 873 00:44:00,200 --> 00:44:02,680 Speaker 14: I think April is when the company came out and 874 00:44:02,719 --> 00:44:05,000 Speaker 14: said that there, you know, numbers in China are not 875 00:44:05,160 --> 00:44:08,640 Speaker 14: as bad as news agencies and analysts were making it 876 00:44:08,680 --> 00:44:10,680 Speaker 14: out to be. And I think that led to a 877 00:44:10,760 --> 00:44:13,480 Speaker 14: reversal of the stock at that point, and since then 878 00:44:13,520 --> 00:44:16,560 Speaker 14: they did a very big AI event, which surprisingly went 879 00:44:16,760 --> 00:44:20,440 Speaker 14: very well because Apple's been criticized over the past few 880 00:44:20,520 --> 00:44:23,319 Speaker 14: years of not innovating enough. So I think those two 881 00:44:23,360 --> 00:44:28,120 Speaker 14: factors really changed the investive perception of Apple in terms 882 00:44:28,160 --> 00:44:30,880 Speaker 14: of as a company and its fundamentals. And now we 883 00:44:30,920 --> 00:44:34,160 Speaker 14: are waiting for the iPhone sixteen you know presentation, which 884 00:44:34,200 --> 00:44:36,680 Speaker 14: is going to be somewhere around the September time frame, 885 00:44:36,960 --> 00:44:39,520 Speaker 14: and with that will come the next level of you 886 00:44:39,520 --> 00:44:42,520 Speaker 14: could say, hardware refash cycle. So things are looking good 887 00:44:42,520 --> 00:44:45,120 Speaker 14: for Apple, not so much for the other tech players 888 00:44:45,120 --> 00:44:45,640 Speaker 14: at this point. 889 00:44:45,920 --> 00:44:48,080 Speaker 2: Before we let you go, I mean, I understand you 890 00:44:48,120 --> 00:44:49,960 Speaker 2: said that Apple's not spending boat loads in the same 891 00:44:49,960 --> 00:44:52,239 Speaker 2: way on AI, but don't we want them to do that? 892 00:44:52,280 --> 00:44:53,880 Speaker 5: Like at some point are they going to be behind 893 00:44:53,880 --> 00:44:54,359 Speaker 5: on that then? 894 00:44:55,760 --> 00:44:57,960 Speaker 14: So think about it this way. People are dying to 895 00:44:58,000 --> 00:45:01,720 Speaker 14: have their large language model on the Apple distribution network. 896 00:45:02,000 --> 00:45:03,759 Speaker 14: They don't have to spend the money opening I can 897 00:45:03,800 --> 00:45:06,719 Speaker 14: do all of that spending. They will just license it 898 00:45:07,000 --> 00:45:09,560 Speaker 14: and to have it on their phone. This is another 899 00:45:09,600 --> 00:45:11,560 Speaker 14: way for them to say, why do I need to 900 00:45:11,560 --> 00:45:13,880 Speaker 14: make data centers when I can rent the data centers 901 00:45:13,880 --> 00:45:16,440 Speaker 14: whenever I need them. So they have a fairly different 902 00:45:16,440 --> 00:45:19,719 Speaker 14: strategy when it comes to capital allocation as compared to 903 00:45:19,760 --> 00:45:20,520 Speaker 14: the other companies. 904 00:45:20,960 --> 00:45:22,560 Speaker 5: All Right, I super appreciate it. 905 00:45:22,560 --> 00:45:24,920 Speaker 2: Thanks a lot on our ground up Bloomberg Intelligence senior 906 00:45:25,000 --> 00:45:27,080 Speaker 2: US technology analyst joining us. 907 00:45:27,200 --> 00:45:31,680 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 908 00:45:31,880 --> 00:45:35,520 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 909 00:45:35,680 --> 00:45:38,640 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 910 00:45:38,760 --> 00:45:42,200 Speaker 1: iHeartRadio app tune In, and the Bloomberg Business app. You 911 00:45:42,239 --> 00:45:45,400 Speaker 1: can also watch us live every weekday on YouTube and 912 00:45:45,560 --> 00:45:47,200 Speaker 1: always on the Bloomberg terminal