1 00:00:00,840 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:05,280 Speaker 1: my co host Matt Miller. 3 00:00:05,640 --> 00:00:09,600 Speaker 2: Every business day we bring you interviews from CEOs, market pros, 4 00:00:09,720 --> 00:00:13,600 Speaker 2: and Bloomberg experts, along with essential market moving news. 5 00:00:14,160 --> 00:00:17,279 Speaker 1: Find the Bloomberg Markets Podcast on Apple Podcasts or wherever 6 00:00:17,400 --> 00:00:20,480 Speaker 1: you listen to podcasts, and at Bloomberg dot com slash podcast. 7 00:00:21,520 --> 00:00:24,000 Speaker 1: I tell you this auto strike just it ain't going 8 00:00:24,040 --> 00:00:25,759 Speaker 1: away here. It seems like it's getting even worse. The 9 00:00:25,800 --> 00:00:28,800 Speaker 1: UAW just came across the Bloomberg terminal around ten to 10 00:00:28,840 --> 00:00:32,040 Speaker 1: fifteen Wall Street time. The UAW says five thousand members 11 00:00:32,080 --> 00:00:37,480 Speaker 1: at GM Arlington Assembly join strike. So this is kind 12 00:00:37,479 --> 00:00:38,640 Speaker 1: of going the wrong way, and it got to the 13 00:00:38,640 --> 00:00:40,800 Speaker 1: point now where General Motors today I have to putt 14 00:00:40,800 --> 00:00:43,920 Speaker 1: out some good numbers removes guidance because of the strike. 15 00:00:44,040 --> 00:00:45,960 Speaker 1: So I don't know what's going on there. But I 16 00:00:46,000 --> 00:00:47,840 Speaker 1: know who does know, Kevin Tyne, and he's a senior 17 00:00:47,840 --> 00:00:50,560 Speaker 1: automotive analyst for Bloomberg Intelligence. He joined just via zoom 18 00:00:50,600 --> 00:00:55,320 Speaker 1: from our Princeton office. Kevin, tell us what GM said today, 19 00:00:55,880 --> 00:00:58,560 Speaker 1: you know about the strike and how it's impacting their 20 00:00:59,000 --> 00:01:00,480 Speaker 1: I guess operations. 21 00:01:00,840 --> 00:01:05,160 Speaker 3: Yeah, well, look that was strike started late late in 22 00:01:05,240 --> 00:01:07,760 Speaker 3: the third quarter, so it would be the impact. I 23 00:01:07,760 --> 00:01:10,000 Speaker 3: mean every day of the fourth quarter so far has 24 00:01:10,080 --> 00:01:14,160 Speaker 3: been impacted by the strike. But you know, the backwards 25 00:01:14,160 --> 00:01:17,160 Speaker 3: looking results were actually pretty good, better than expected, and 26 00:01:17,400 --> 00:01:21,360 Speaker 3: just show the profitability that the company can produce and 27 00:01:21,480 --> 00:01:24,959 Speaker 3: the you know, removing some guidance. There is just an 28 00:01:24,959 --> 00:01:27,920 Speaker 3: issue of not flaunting that you're going to make fourteen 29 00:01:28,000 --> 00:01:32,520 Speaker 3: billion when you're trying to negotiate with the union. But 30 00:01:33,360 --> 00:01:36,200 Speaker 3: you know, it could mean it's close, right that this 31 00:01:36,280 --> 00:01:39,640 Speaker 3: is the final turns of the screw that kind of 32 00:01:39,640 --> 00:01:43,800 Speaker 3: gets the manufacturer to give what the union thinks they deserve. 33 00:01:44,319 --> 00:01:49,280 Speaker 3: I think they're probably close on the wage, the increase, 34 00:01:49,320 --> 00:01:53,320 Speaker 3: the percentage, and probably the ratification bonus. I think it's 35 00:01:53,360 --> 00:01:56,000 Speaker 3: all the sort of secondary issues there in terms of 36 00:01:56,320 --> 00:02:01,440 Speaker 3: headcount capacity, you know, new product plants and things like that, 37 00:02:01,440 --> 00:02:05,400 Speaker 3: that are the sticking points this late in the negotiations. 38 00:02:05,720 --> 00:02:07,920 Speaker 4: Why are only some plants on strike? 39 00:02:10,560 --> 00:02:13,639 Speaker 3: Well, you know, it looks bad for everyone, and it's 40 00:02:13,720 --> 00:02:16,600 Speaker 3: very difficult to put out that many workers, right because 41 00:02:16,600 --> 00:02:19,200 Speaker 3: then they go to the strike fund and then you 42 00:02:19,280 --> 00:02:22,440 Speaker 3: completely shut down everything. And I think it's just counterproductive 43 00:02:22,520 --> 00:02:25,000 Speaker 3: to say, you know, we're not going to produce anything 44 00:02:25,000 --> 00:02:30,840 Speaker 3: at all, then you're putting the host in real danger. 45 00:02:31,400 --> 00:02:34,760 Speaker 1: All right, So, Kevin, I guess the big issue, as 46 00:02:34,760 --> 00:02:38,960 Speaker 1: I understand it, is, you know, as the industry, I 47 00:02:38,960 --> 00:02:42,079 Speaker 1: guess he continues its evolution in the EV front, there's 48 00:02:42,120 --> 00:02:44,080 Speaker 1: a real question as to how many jobs are going 49 00:02:44,160 --> 00:02:46,120 Speaker 1: to be needed and where those jobs are going to be, 50 00:02:46,240 --> 00:02:48,680 Speaker 1: and they're going to be different types of jobs, to 51 00:02:48,720 --> 00:02:50,560 Speaker 1: the point where I guess the companies are saying, hey, 52 00:02:50,600 --> 00:02:54,160 Speaker 1: we can't guarantee X number of positions because quite frankly, 53 00:02:54,200 --> 00:02:56,840 Speaker 1: we don't know what positions we're going to need. Is 54 00:02:56,840 --> 00:02:58,400 Speaker 1: that kind of where we are? And if so, I 55 00:02:58,400 --> 00:02:59,560 Speaker 1: don't know how you resolve that. 56 00:03:00,440 --> 00:03:02,520 Speaker 3: Yeah, And look in the other issue too, is that 57 00:03:02,639 --> 00:03:09,000 Speaker 3: as labor costs increase for those union shops, they're only 58 00:03:09,560 --> 00:03:13,919 Speaker 3: GM Ford and STILLANTIS brands. So even if there were 59 00:03:14,040 --> 00:03:19,079 Speaker 3: no EV transition, the domestic manufacturers and their brands are 60 00:03:19,080 --> 00:03:22,880 Speaker 3: going to be less competitive against even you know, Honda 61 00:03:22,960 --> 00:03:26,880 Speaker 3: in Ohio, or Nissan and Tennessee or any of the 62 00:03:26,880 --> 00:03:30,240 Speaker 3: plants down in the South that are not unionized. Never 63 00:03:30,320 --> 00:03:33,760 Speaker 3: mind the EV manufacturers who are not unionized. 64 00:03:33,800 --> 00:03:34,200 Speaker 1: As well. 65 00:03:34,280 --> 00:03:39,400 Speaker 3: So you know, there's the EV transition is part of it. 66 00:03:39,840 --> 00:03:43,360 Speaker 3: But the manufacturers have been very profitable on internal combustion, 67 00:03:43,560 --> 00:03:46,040 Speaker 3: but by making fewer vehicles. So I think that's where 68 00:03:46,040 --> 00:03:49,440 Speaker 3: the capacity and the headcount uncertainty comes in as well, 69 00:03:49,480 --> 00:03:52,120 Speaker 3: where you're saying, you know, yes, we're making money, but 70 00:03:52,200 --> 00:03:55,920 Speaker 3: we're doing it on fewer units. We can't be behold 71 00:03:55,960 --> 00:04:00,720 Speaker 3: into these capacity you know, in footprint requirements going forward 72 00:04:00,800 --> 00:04:02,720 Speaker 3: when we don't know that we're actually going to need 73 00:04:02,760 --> 00:04:03,360 Speaker 3: that much. 74 00:04:03,880 --> 00:04:07,160 Speaker 4: What are the UAW members being paid and what are 75 00:04:07,160 --> 00:04:07,880 Speaker 4: they asking for? 76 00:04:09,400 --> 00:04:12,280 Speaker 3: Yeah, so you know, when you look at it all 77 00:04:12,320 --> 00:04:16,320 Speaker 3: in as the cost to the manufacturer, it's probably in 78 00:04:16,360 --> 00:04:19,280 Speaker 3: the sixty dollars per hour range, and it'll go up 79 00:04:19,320 --> 00:04:21,800 Speaker 3: into the nineties and maybe even higher depending where the 80 00:04:21,839 --> 00:04:24,279 Speaker 3: contract is ultimately done. 81 00:04:24,000 --> 00:04:24,200 Speaker 4: You know. 82 00:04:24,240 --> 00:04:27,640 Speaker 3: And then you compare that all in to the transplants 83 00:04:27,920 --> 00:04:33,120 Speaker 3: of European or Asian manufacturers or EV manufacturers and there there, 84 00:04:33,160 --> 00:04:36,000 Speaker 3: you know, the cost to the company is significantly less, 85 00:04:37,120 --> 00:04:39,760 Speaker 3: you know, And that's what probably needs to be reconciled 86 00:04:39,800 --> 00:04:42,080 Speaker 3: and what the domestic manufacturers are saying, Look, if you 87 00:04:42,120 --> 00:04:45,320 Speaker 3: want to increase your membership, you can't just keep coming 88 00:04:45,360 --> 00:04:48,000 Speaker 3: back to us, right, you take your twenty five percent 89 00:04:48,160 --> 00:04:50,599 Speaker 3: increase and go show it to some of these other 90 00:04:50,680 --> 00:04:53,599 Speaker 3: manufacturers and try and build your base that way, because 91 00:04:53,600 --> 00:04:54,840 Speaker 3: we don't have much more to give. 92 00:04:55,720 --> 00:04:59,159 Speaker 1: So, Kevin, when we do get a resolution, is it 93 00:04:59,200 --> 00:05:01,520 Speaker 1: going to be are we just assuming that it's going 94 00:05:01,600 --> 00:05:04,200 Speaker 1: to apply to all three of the big three automakers? 95 00:05:09,360 --> 00:05:09,680 Speaker 5: Oops? 96 00:05:09,760 --> 00:05:13,320 Speaker 1: Kevin hears uh, I think we lost Kevin. All right, 97 00:05:13,560 --> 00:05:15,480 Speaker 1: Well that was my big smart question the day, and 98 00:05:16,839 --> 00:05:20,200 Speaker 1: we need to know. I think we lost the audio 99 00:05:20,200 --> 00:05:21,960 Speaker 1: with Kevin, so we'll have to go back to that. 100 00:05:22,000 --> 00:05:25,680 Speaker 1: But again, you know, it's serious here for these automakers 101 00:05:25,680 --> 00:05:27,800 Speaker 1: because you know, I mean Jim again pulling its guidance. 102 00:05:27,800 --> 00:05:29,200 Speaker 1: But as Kevin said, maybe that just might be a 103 00:05:29,279 --> 00:05:32,360 Speaker 1: negotiating tactic here. You don't want to say, oh, yeah, 104 00:05:32,360 --> 00:05:35,960 Speaker 1: we we reiterate our profit guidance of fourteen billion dollars 105 00:05:36,120 --> 00:05:38,680 Speaker 1: or something like that when you're trying to plead, you know, 106 00:05:38,720 --> 00:05:39,960 Speaker 1: and trending to negotiate salaries. 107 00:05:40,000 --> 00:05:43,479 Speaker 4: And especially given what we were talking about earlier, GM 108 00:05:43,520 --> 00:05:47,719 Speaker 4: beating a third quarter estimates despite losing two hundred million 109 00:05:47,760 --> 00:05:51,080 Speaker 4: dollars from the walkout during that quarterly period. But then 110 00:05:51,120 --> 00:05:53,960 Speaker 4: also what it means for when it comes to a 111 00:05:53,960 --> 00:05:56,880 Speaker 4: automaker like that that has been rethinking its growth plans 112 00:05:56,920 --> 00:06:00,279 Speaker 4: for EV sales because those sales have plug in have 113 00:06:00,320 --> 00:06:02,960 Speaker 4: been actually slower than anticipated. So a lot of different 114 00:06:02,960 --> 00:06:04,080 Speaker 4: moving pieces there. 115 00:06:04,640 --> 00:06:06,000 Speaker 1: All right, let's go back to Kevin Tyne and we 116 00:06:06,000 --> 00:06:07,760 Speaker 1: got them back, We got the audio back. So Kevin, 117 00:06:07,800 --> 00:06:10,960 Speaker 1: my question was, just, when we do get an agreement, 118 00:06:11,080 --> 00:06:14,080 Speaker 1: is it going to apply to all three automakers just 119 00:06:14,160 --> 00:06:14,960 Speaker 1: kind of automatically? 120 00:06:15,800 --> 00:06:19,960 Speaker 3: Yeah, Well, typically what would happen. Historically you'd have negotiation 121 00:06:20,160 --> 00:06:24,440 Speaker 3: between the union and one manufacturer, usually the most financially sound, 122 00:06:24,800 --> 00:06:27,160 Speaker 3: and then the other deals fall into place. This has 123 00:06:27,200 --> 00:06:29,880 Speaker 3: been unique in that the union has been negotiating with 124 00:06:29,920 --> 00:06:32,400 Speaker 3: all three at the same time. So yeah, this one 125 00:06:32,440 --> 00:06:36,240 Speaker 3: would probably happen amongst all three and one shot, and 126 00:06:36,279 --> 00:06:38,400 Speaker 3: then it'll just be a matter of catching up on 127 00:06:38,520 --> 00:06:42,920 Speaker 3: production over the subsequent quarters going into twenty twenty four. 128 00:06:43,040 --> 00:06:48,280 Speaker 6: Yeah, as far as looking ahead and what could all 129 00:06:48,360 --> 00:06:50,880 Speaker 6: this play out, what exactly do you think would be 130 00:06:50,960 --> 00:06:54,480 Speaker 6: the remaining timetable for how long this actually. 131 00:06:54,120 --> 00:06:55,120 Speaker 4: Could continue on for? 132 00:06:56,960 --> 00:07:00,760 Speaker 3: Yeah, I think it's close, you know, I think people 133 00:07:00,800 --> 00:07:03,040 Speaker 3: look at it like this is a lot of pressure 134 00:07:03,080 --> 00:07:05,560 Speaker 3: on the manufacturers, and it certainly is, but it's also 135 00:07:05,600 --> 00:07:09,960 Speaker 3: pressure on the union as well. You know, you have 136 00:07:10,040 --> 00:07:12,040 Speaker 3: a lot of people that aren't earning what they're used 137 00:07:12,080 --> 00:07:15,560 Speaker 3: to earning, and they're in the strike fund, and everybody, 138 00:07:15,600 --> 00:07:17,680 Speaker 3: I think wants to move forward. So I would say 139 00:07:17,680 --> 00:07:20,880 Speaker 3: we're probably closer. And this is based on nothing than 140 00:07:21,000 --> 00:07:24,760 Speaker 3: just what we're hearing in the rhetoric is that it's 141 00:07:24,760 --> 00:07:28,040 Speaker 3: probably closer than it isn't, And I think it's the 142 00:07:28,440 --> 00:07:31,560 Speaker 3: wage number is probably there, and then it's just some 143 00:07:31,640 --> 00:07:34,360 Speaker 3: of these other secondary issues that just need to be 144 00:07:34,440 --> 00:07:38,160 Speaker 3: hammered out in terms of details, because manufacturers, again, they 145 00:07:38,200 --> 00:07:42,080 Speaker 3: want that flexibility to say, what this industry looks like 146 00:07:42,160 --> 00:07:44,480 Speaker 3: in three four years from now may not be what 147 00:07:44,520 --> 00:07:47,520 Speaker 3: it is today, and we need the flexibility to rationalize 148 00:07:47,560 --> 00:07:48,880 Speaker 3: cost if that's the case. 149 00:07:49,080 --> 00:07:52,080 Speaker 1: Hey, Kevin, A big picture. I just replaced the twenty 150 00:07:52,080 --> 00:07:54,480 Speaker 1: fourteen BMW with the stick shift, and I got the 151 00:07:54,560 --> 00:07:58,040 Speaker 1: twenty twenty four BMW X three, extraordinarily happy. Didn't even 152 00:07:58,080 --> 00:08:00,679 Speaker 1: think about getting ev because it was such the premium price. 153 00:08:01,400 --> 00:08:05,040 Speaker 1: So is the world rethinking, Are you guys as industry 154 00:08:05,120 --> 00:08:09,040 Speaker 1: rethinking what the ultimate end market is for evs, I mean, 155 00:08:09,480 --> 00:08:11,560 Speaker 1: it seems like it's not as strong as I maybe 156 00:08:11,640 --> 00:08:12,120 Speaker 1: once thought. 157 00:08:12,760 --> 00:08:15,440 Speaker 3: Yeah, I think so. And that's playing out in a 158 00:08:15,440 --> 00:08:19,640 Speaker 3: lot of different ways. You know, dealers were you know, 159 00:08:19,800 --> 00:08:21,760 Speaker 3: the manufacturers are going to the dealers and saying, look, 160 00:08:21,800 --> 00:08:23,840 Speaker 3: you need to fit your outfit your stores for this, 161 00:08:24,000 --> 00:08:26,440 Speaker 3: and now they're kind of holding back a little bit, 162 00:08:26,440 --> 00:08:28,160 Speaker 3: and the dealers are waiting it out and not being 163 00:08:28,200 --> 00:08:31,240 Speaker 3: the first ones to move. But I think if the 164 00:08:31,320 --> 00:08:37,040 Speaker 3: demand and profitability profile of EV doesn't improve significantly through 165 00:08:37,080 --> 00:08:40,439 Speaker 3: twenty twenty four, and we've already seen it, right, Ford 166 00:08:40,440 --> 00:08:43,839 Speaker 3: pushed out its building its battery plan, General Motors put 167 00:08:43,880 --> 00:08:47,000 Speaker 3: another year on the timeline. I think if not by 168 00:08:47,000 --> 00:08:49,560 Speaker 3: the end of next year, there will be some of 169 00:08:49,559 --> 00:08:52,560 Speaker 3: those one hundred percent by twenty thirty five, and the 170 00:08:52,640 --> 00:08:55,320 Speaker 3: longer term goals are going to start to be walked 171 00:08:55,320 --> 00:08:59,280 Speaker 3: back because the addressable market might not be what it 172 00:08:59,360 --> 00:09:01,960 Speaker 3: seemed to be when it was first going. And ultimately, 173 00:09:02,200 --> 00:09:04,120 Speaker 3: when you look at it, you know, on the one hand, 174 00:09:04,200 --> 00:09:07,320 Speaker 3: you have everybody saying how Tesla dominates an EV, but 175 00:09:07,400 --> 00:09:11,280 Speaker 3: if demand goes away, you know, then you're questioning really 176 00:09:11,520 --> 00:09:14,200 Speaker 3: everybody else, Right, If there's no demand for Tesla. What 177 00:09:14,280 --> 00:09:17,320 Speaker 3: is the demand for a forty V or GMEV, which 178 00:09:17,320 --> 00:09:19,600 Speaker 3: don't even exist yet in any kind of volume. 179 00:09:19,960 --> 00:09:22,960 Speaker 1: Yep, very interesting. It seems like the market's changing a 180 00:09:22,960 --> 00:09:26,520 Speaker 1: little bit. And again I went internal combustion engine in 181 00:09:26,600 --> 00:09:29,400 Speaker 1: old school. Kevin Tony, thanks so much for joining us. 182 00:09:29,600 --> 00:09:34,240 Speaker 1: Kevin is the senior automotive analysts for Bloomberg Intelligence. He's 183 00:09:34,280 --> 00:09:38,160 Speaker 1: a sconce down in our Princeton, New Jersey headquarters. Down there, 184 00:09:38,520 --> 00:09:40,040 Speaker 1: great lunches down there by the way. 185 00:09:40,080 --> 00:09:44,640 Speaker 7: Ooh, you're listening to the team. Ken's are live program 186 00:09:44,800 --> 00:09:48,720 Speaker 7: Bloomberg Markets weekdays at ten am Eastern on Bloomberg dot com, 187 00:09:48,840 --> 00:09:51,960 Speaker 7: the iHeartRadio app, and the Bloomberg Business app, or listen 188 00:09:52,040 --> 00:09:54,160 Speaker 7: on demand wherever you get your podcasts. 189 00:09:56,000 --> 00:09:58,840 Speaker 1: I want to continue talking about these markets here because 190 00:09:58,840 --> 00:10:01,400 Speaker 1: again we are right in the middle of earnings. We've 191 00:10:01,440 --> 00:10:04,679 Speaker 1: got yields moving all over the place, kind of, as 192 00:10:04,880 --> 00:10:07,319 Speaker 1: Gina said, kind of dictating the market to a certain degree. 193 00:10:07,679 --> 00:10:10,440 Speaker 1: Let's bringing Liz Young, she's head of investment strategy at 194 00:10:10,520 --> 00:10:13,800 Speaker 1: so Far and Liz, thanks so much for joining us. 195 00:10:14,360 --> 00:10:17,800 Speaker 1: I know you cut your teeth on small caps. And 196 00:10:17,840 --> 00:10:20,280 Speaker 1: Gina Martin Adams and Bloomberg Intelligence was just talk about 197 00:10:20,480 --> 00:10:22,880 Speaker 1: kind of the tough headwinds they face. How do you 198 00:10:22,880 --> 00:10:25,960 Speaker 1: think about the small cap space right here? 199 00:10:27,679 --> 00:10:29,000 Speaker 8: Yeah, Hi, thanks for having me. 200 00:10:29,080 --> 00:10:31,920 Speaker 9: So I did cut my teeth as a small cap analyst, 201 00:10:31,920 --> 00:10:33,840 Speaker 9: and I have a soft spot in my heart for them, 202 00:10:34,360 --> 00:10:36,240 Speaker 9: and it does pain me at a time like this 203 00:10:36,400 --> 00:10:37,719 Speaker 9: to say, I just don't think that. 204 00:10:37,640 --> 00:10:39,040 Speaker 8: They're a goodbye yet. 205 00:10:39,240 --> 00:10:41,680 Speaker 9: And you look at where we are in the economic 206 00:10:41,720 --> 00:10:45,160 Speaker 9: cycle and where yields are. Many small cap companies, because 207 00:10:45,160 --> 00:10:48,800 Speaker 9: they're new and because they're growing, need financing in order 208 00:10:48,880 --> 00:10:52,920 Speaker 9: to produce that growth. So as yield rise, as borrowing 209 00:10:52,960 --> 00:10:56,560 Speaker 9: costs rise, and capital is constricted, small cap companies feel 210 00:10:56,600 --> 00:10:59,360 Speaker 9: that much more than large cap companies do, who can 211 00:10:59,480 --> 00:11:03,400 Speaker 9: usually find announce their growth internally. So small caps are 212 00:11:03,440 --> 00:11:07,520 Speaker 9: probably feeling the pain of capital constriction much more. Also, 213 00:11:07,760 --> 00:11:10,120 Speaker 9: just where you are in the economic cycle, I still 214 00:11:10,120 --> 00:11:12,800 Speaker 9: think there are many many signals telling us that we 215 00:11:12,840 --> 00:11:17,280 Speaker 9: are late cycle. Small caps tend to outperform in early cycle, 216 00:11:17,400 --> 00:11:20,360 Speaker 9: so we would need to finish late cycle, get through 217 00:11:20,360 --> 00:11:22,920 Speaker 9: probably a bit of a slowdown, and then restart the 218 00:11:22,960 --> 00:11:24,880 Speaker 9: early part of the cycle, which I just do not 219 00:11:25,000 --> 00:11:26,280 Speaker 9: think is where we are today. 220 00:11:26,559 --> 00:11:30,760 Speaker 4: What are small cap stocks in the technology sector telling 221 00:11:30,840 --> 00:11:33,320 Speaker 4: us at this point, because typically if they're holding up better, 222 00:11:33,400 --> 00:11:36,120 Speaker 4: that couldn't mean brighter times ahead for small caps or 223 00:11:36,200 --> 00:11:38,200 Speaker 4: we see any indication of that right now. 224 00:11:39,720 --> 00:11:42,400 Speaker 9: Well, I think sectors as a whole. As you move 225 00:11:42,480 --> 00:11:45,880 Speaker 9: down the market cap spectrum, the makeup is very different. 226 00:11:45,960 --> 00:11:47,480 Speaker 8: So technology is one of those. 227 00:11:47,480 --> 00:11:51,480 Speaker 9: Obviously you're not seeing big tech stocks, and the behavior 228 00:11:51,520 --> 00:11:53,080 Speaker 9: that we're seeing in big tech stocks, you're not going 229 00:11:53,120 --> 00:11:55,680 Speaker 9: to see that in the small cap space. Generally speaking, 230 00:11:55,720 --> 00:11:57,880 Speaker 9: in small cap tech, you're seeing things that are down 231 00:11:57,920 --> 00:12:01,480 Speaker 9: the supply chain, so they're making components or maybe they're 232 00:12:01,840 --> 00:12:05,560 Speaker 9: early software companies, so they're still going to be quite 233 00:12:05,600 --> 00:12:09,120 Speaker 9: sensitive to moves in the market and probably quite sensitive 234 00:12:09,160 --> 00:12:12,880 Speaker 9: to yields as well. Small cap is actually quite dominated 235 00:12:12,920 --> 00:12:16,800 Speaker 9: by things like healthcare, and the differences in industry makeup 236 00:12:16,800 --> 00:12:21,040 Speaker 9: of healthcare can affect the performance of small caps tremendously. 237 00:12:21,920 --> 00:12:24,760 Speaker 9: As you move down the market cap spectrum, beta in 238 00:12:24,880 --> 00:12:27,920 Speaker 9: general is increased, so I would be careful in a 239 00:12:28,000 --> 00:12:32,200 Speaker 9: rising rate environment, I would be careful with really growthy names, 240 00:12:32,200 --> 00:12:36,880 Speaker 9: particularly in the small cap space, and generally speaking, even 241 00:12:36,920 --> 00:12:39,920 Speaker 9: when you do enter that early cycle behavior, and small 242 00:12:39,960 --> 00:12:43,440 Speaker 9: caps tend to outperform. What usually tends to outperform is 243 00:12:43,480 --> 00:12:46,760 Speaker 9: small cap value because a lot of those are dominated 244 00:12:46,760 --> 00:12:50,200 Speaker 9: by the financial space. So it really does make a 245 00:12:50,200 --> 00:12:52,840 Speaker 9: difference when you look at the sector makeup of different 246 00:12:52,880 --> 00:12:56,240 Speaker 9: size categories, and investors should keep that in mind as 247 00:12:56,320 --> 00:12:58,400 Speaker 9: we move through these different parts of the business cycle. 248 00:12:58,920 --> 00:13:01,160 Speaker 1: Hey, Lis, I wonder just kind of stepping back here, 249 00:13:01,559 --> 00:13:03,280 Speaker 1: you know, in a world where you've got you know 250 00:13:03,360 --> 00:13:05,520 Speaker 1: that the ten year at four point eight seven to 251 00:13:05,640 --> 00:13:08,120 Speaker 1: thirty year, boy, it's at five percent. Haven't seen that 252 00:13:08,160 --> 00:13:10,000 Speaker 1: in a while, and of course a two year at 253 00:13:10,000 --> 00:13:12,720 Speaker 1: five point one percent and that kind of world, can 254 00:13:12,760 --> 00:13:16,160 Speaker 1: equities perform? 255 00:13:16,360 --> 00:13:18,440 Speaker 8: Well, so far they've done okay. 256 00:13:18,920 --> 00:13:22,200 Speaker 9: I mean we've seen we've seen yields be pretty volatile 257 00:13:22,240 --> 00:13:25,200 Speaker 9: all year since the end of July, so that local 258 00:13:25,240 --> 00:13:28,480 Speaker 9: equities top in July July thirty first. Obviously we saw 259 00:13:28,640 --> 00:13:31,600 Speaker 9: quite a swift rise in the ten year since that point, 260 00:13:31,720 --> 00:13:35,720 Speaker 9: and equity saw a down draft. That's logically and rationally 261 00:13:35,840 --> 00:13:38,560 Speaker 9: how I think it should work. You should see some 262 00:13:38,760 --> 00:13:41,800 Speaker 9: pressure on valuations as yields rise. So I think that 263 00:13:41,800 --> 00:13:45,679 Speaker 9: that's actually been a pretty rational change in tone in 264 00:13:45,720 --> 00:13:49,240 Speaker 9: the market, and it's been quite orderly, I mean the drawdown, 265 00:13:49,320 --> 00:13:52,080 Speaker 9: although it feels like it's been prolonged because we were 266 00:13:52,160 --> 00:13:54,800 Speaker 9: used to such a strong up up movement in the 267 00:13:54,800 --> 00:13:57,400 Speaker 9: beginning of the year. It feels long, but it really 268 00:13:57,400 --> 00:13:58,079 Speaker 9: has not been that. 269 00:13:58,080 --> 00:13:59,720 Speaker 8: Long, nor has it been that terrible. 270 00:13:59,720 --> 00:14:01,800 Speaker 9: I mean, it hit maybe seven and a half percent 271 00:14:01,920 --> 00:14:05,520 Speaker 9: down on the SMP at worst, so not even in 272 00:14:05,600 --> 00:14:10,400 Speaker 9: correction territory. Now, as yields stay high, I think that's 273 00:14:10,440 --> 00:14:13,760 Speaker 9: where valuations really come into question. And as we go 274 00:14:13,880 --> 00:14:17,839 Speaker 9: through Q three earning season, obviously looking out into Q 275 00:14:17,960 --> 00:14:20,880 Speaker 9: four and into twenty twenty four, expectations are really high, 276 00:14:20,920 --> 00:14:24,080 Speaker 9: and I think the market is priced for those expectations 277 00:14:24,080 --> 00:14:27,200 Speaker 9: to come true. So as we get more information from 278 00:14:27,320 --> 00:14:30,240 Speaker 9: CEO th than guidance, if we find out that those 279 00:14:30,240 --> 00:14:34,120 Speaker 9: earnings are not realistic to achieve, we're probably going to 280 00:14:34,120 --> 00:14:38,120 Speaker 9: see more pressure on valuations, and yields are not necessarily 281 00:14:38,200 --> 00:14:41,800 Speaker 9: helping that story. So I don't think that stocks can 282 00:14:41,840 --> 00:14:44,640 Speaker 9: maintain these valuations if we keep yields this high for 283 00:14:44,720 --> 00:14:47,280 Speaker 9: a very very long period of time. But it's not 284 00:14:47,400 --> 00:14:50,920 Speaker 9: going to happen in a broad swath across the market. 285 00:14:50,920 --> 00:14:54,720 Speaker 9: You're going to see probably discerning choices in each sector 286 00:14:54,800 --> 00:14:58,160 Speaker 9: of companies that are less sensitive to rates doing better. 287 00:14:58,800 --> 00:15:01,120 Speaker 4: What's the make or break lef in the ten year 288 00:15:01,240 --> 00:15:04,640 Speaker 4: treasury yield to where there would be a potentially bigger 289 00:15:04,680 --> 00:15:07,400 Speaker 4: calibration in the broader US stock market. 290 00:15:09,800 --> 00:15:12,280 Speaker 9: I don't know that there's necessarily a level that's going 291 00:15:12,320 --> 00:15:15,120 Speaker 9: to send it all one direction or another. Five percent 292 00:15:15,320 --> 00:15:18,320 Speaker 9: was clearly a very mental threshold for people. 293 00:15:18,720 --> 00:15:20,760 Speaker 8: I still think that that's probably the case. 294 00:15:22,240 --> 00:15:24,480 Speaker 9: There's still people out there calling for six percent and 295 00:15:24,520 --> 00:15:27,960 Speaker 9: maybe even seven percent and higher. So I think when 296 00:15:28,000 --> 00:15:31,440 Speaker 9: you look at it from the investor standpoint, you have 297 00:15:31,560 --> 00:15:34,200 Speaker 9: individual investors or retail investors who are going to be 298 00:15:34,200 --> 00:15:37,000 Speaker 9: more sensitive to hearing about mortgage rates going up. So 299 00:15:37,040 --> 00:15:39,760 Speaker 9: as mortgage rates crept towards eight percent, I think that 300 00:15:39,800 --> 00:15:42,840 Speaker 9: gave people a lot of pause about whether or not 301 00:15:42,880 --> 00:15:45,400 Speaker 9: they wanted to be throwing all their money at risk assets. 302 00:15:45,880 --> 00:15:50,520 Speaker 9: And then you've got institutional investors and money managers who 303 00:15:50,600 --> 00:15:53,240 Speaker 9: are watching yields and the inversion much more closely, and 304 00:15:53,280 --> 00:15:56,000 Speaker 9: they're watching the cost of capital much more closely. So 305 00:15:56,120 --> 00:15:59,360 Speaker 9: the ten year treasury at five percent or above gives 306 00:15:59,560 --> 00:16:02,640 Speaker 9: them a little bit more consternation. So I don't think 307 00:16:02,640 --> 00:16:05,320 Speaker 9: that there's a magic number that you know, oh my gosh, 308 00:16:05,360 --> 00:16:08,720 Speaker 9: if we get to that, everything changes. But as it 309 00:16:08,720 --> 00:16:12,200 Speaker 9: gets higher, it does get more difficult to sustain. 310 00:16:12,280 --> 00:16:15,920 Speaker 8: And as you have corporate debt coming due next year. 311 00:16:15,960 --> 00:16:18,640 Speaker 9: In the year after, many corporations have to renew their debt, 312 00:16:18,840 --> 00:16:22,200 Speaker 9: and those corporations took that debt out when rates. 313 00:16:21,960 --> 00:16:22,720 Speaker 8: Were much lower. 314 00:16:22,760 --> 00:16:25,280 Speaker 9: So I think we're slowly going to hear about things 315 00:16:25,320 --> 00:16:28,920 Speaker 9: being unsustainable at this level of rates. I'm not entirely 316 00:16:28,960 --> 00:16:30,720 Speaker 9: sold that we're going to be able to stay this 317 00:16:30,920 --> 00:16:33,760 Speaker 9: high for very, very long, because I just don't think 318 00:16:33,760 --> 00:16:35,160 Speaker 9: the economy can withstand it. 319 00:16:35,880 --> 00:16:38,480 Speaker 1: Hey, Liz, Tech is going to take center stage here 320 00:16:38,920 --> 00:16:41,880 Speaker 1: after the close today with Microsoft and Alphabet. How do 321 00:16:41,920 --> 00:16:43,080 Speaker 1: you guys think about tech right here? 322 00:16:45,520 --> 00:16:47,960 Speaker 9: Tech is definitely going to take center stage this week, 323 00:16:48,200 --> 00:16:50,280 Speaker 9: and I think everybody's going to be watching and listening. 324 00:16:50,760 --> 00:16:52,840 Speaker 8: I would say this tech has. 325 00:16:52,760 --> 00:16:56,960 Speaker 9: Been the darling this year, and almost as if it 326 00:16:57,000 --> 00:16:59,520 Speaker 9: can do well in any environment. If rates are going up, 327 00:16:59,560 --> 00:17:01,120 Speaker 9: it's suppose to do well. If they're going down, it's 328 00:17:01,160 --> 00:17:05,280 Speaker 9: supposed to do well. Sideways, up, down. Everything has been 329 00:17:05,320 --> 00:17:09,560 Speaker 9: true at certain points that's not typically how an asset 330 00:17:09,600 --> 00:17:12,359 Speaker 9: class will work. So I think we're going to start 331 00:17:12,400 --> 00:17:17,120 Speaker 9: seeing separation, especially among big tech and we talk about them, 332 00:17:17,320 --> 00:17:19,520 Speaker 9: whether you want to call them the Magnificent seven or 333 00:17:19,600 --> 00:17:22,040 Speaker 9: just big tech stocks in general. We talk about them 334 00:17:22,440 --> 00:17:25,560 Speaker 9: as a homogeneous asset class, but they're really not, and 335 00:17:25,600 --> 00:17:28,840 Speaker 9: many of them are dependent on different parts of the consumer, 336 00:17:28,920 --> 00:17:31,040 Speaker 9: on different parts of the economy, and I think we're 337 00:17:31,040 --> 00:17:34,880 Speaker 9: going to start seeing some divergence in performance among those 338 00:17:35,000 --> 00:17:38,120 Speaker 9: names where it's not just okay, you win because you're 339 00:17:38,119 --> 00:17:41,600 Speaker 9: in that big tech basket. So this week, I think 340 00:17:41,680 --> 00:17:46,159 Speaker 9: is really important, not just for the results, because interestingly, 341 00:17:46,520 --> 00:17:49,359 Speaker 9: as earnings have come in so far, we're seeing even 342 00:17:49,400 --> 00:17:51,440 Speaker 9: companies that have beat still be punished. 343 00:17:51,600 --> 00:17:53,040 Speaker 8: So it's not just about the results. 344 00:17:53,080 --> 00:17:55,960 Speaker 9: It's about the sentiment and the commentary that comes out 345 00:17:56,000 --> 00:17:58,280 Speaker 9: of those companies, because that's what we'll send the market 346 00:17:58,280 --> 00:17:59,080 Speaker 9: in a different direction. 347 00:18:00,000 --> 00:18:01,800 Speaker 1: Thank you so much for joining us. We really appreciate 348 00:18:01,840 --> 00:18:04,359 Speaker 1: getting some of your time. Liz Young. She's head of 349 00:18:04,520 --> 00:18:07,040 Speaker 1: investment strategy at SOFI. 350 00:18:07,440 --> 00:18:10,600 Speaker 7: You're listening to the tape. Cat's are Live program Bloomberg 351 00:18:10,640 --> 00:18:14,240 Speaker 7: Markets weekdays at ten am Eastern on Bloomberg Radio, the 352 00:18:14,280 --> 00:18:17,520 Speaker 7: tune in app, Bloomberg dot Com, and the Bloomberg Business App. 353 00:18:17,560 --> 00:18:20,359 Speaker 7: You can also listen live on Amazon Alexa from our 354 00:18:20,400 --> 00:18:24,800 Speaker 7: flagship New York station, Just say Alexa play Bloomberg eleven thirty. 355 00:18:26,560 --> 00:18:31,080 Speaker 1: Sony Challa joins us. She is a portfolio manager partner 356 00:18:31,119 --> 00:18:35,800 Speaker 1: at times Square Capital Management located guess where Jess, Time Square. 357 00:18:36,320 --> 00:18:38,800 Speaker 1: How about that go figure some good naming rights there, 358 00:18:38,920 --> 00:18:40,600 Speaker 1: So no, thanks so much for joining us. You're live 359 00:18:40,600 --> 00:18:42,760 Speaker 1: here in on our Bloomberg Interactive Broker studio, so we 360 00:18:42,800 --> 00:18:46,320 Speaker 1: appreciate you making the time here. What you call on 361 00:18:46,400 --> 00:18:48,960 Speaker 1: technology here, boy, I hear some big, big numbers in 362 00:18:49,040 --> 00:18:51,919 Speaker 1: terms of Capex the cloud, and then the kids are 363 00:18:51,920 --> 00:18:54,960 Speaker 1: talking about this thing, AI. How do you put that 364 00:18:55,080 --> 00:18:56,800 Speaker 1: all together and have a tech call? 365 00:18:57,200 --> 00:18:57,440 Speaker 10: Yeah? 366 00:18:57,520 --> 00:19:01,600 Speaker 11: Sure, I would say the investor sentiment positioning is broadly 367 00:19:01,680 --> 00:19:05,280 Speaker 11: cautious as we head into Q three earning season, as 368 00:19:05,320 --> 00:19:09,320 Speaker 11: there's angst building around twenty twenty four outlooks and whether 369 00:19:09,359 --> 00:19:12,399 Speaker 11: we will get a Q four budget flush. If we 370 00:19:12,440 --> 00:19:17,399 Speaker 11: look at channel checks and alternative data providers, they're painting 371 00:19:17,600 --> 00:19:21,200 Speaker 11: a conflicting message on the health of IT spending environment. 372 00:19:21,920 --> 00:19:22,800 Speaker 5: And I would. 373 00:19:22,680 --> 00:19:26,240 Speaker 11: Describe the visibility as clear as mud at this point. 374 00:19:27,000 --> 00:19:32,120 Speaker 11: And what I would say is that today's tonight's earnings 375 00:19:32,160 --> 00:19:37,080 Speaker 11: calls from the megacaps like Google and Microsoft will give 376 00:19:37,119 --> 00:19:41,359 Speaker 11: us a better understanding of whether the public cloud consumption 377 00:19:41,560 --> 00:19:45,119 Speaker 11: headwinds or abating or not, and the trajectory of the 378 00:19:45,240 --> 00:19:51,240 Speaker 11: hyperscale or capex into twenty twenty four. You know, the 379 00:19:51,320 --> 00:19:55,480 Speaker 11: thing is that if you rewind to the start of 380 00:19:55,520 --> 00:20:00,760 Speaker 11: twenty twenty three, as cost of capital has risen, you know, 381 00:20:01,040 --> 00:20:05,120 Speaker 11: all these companies went on an endeavor to become financially fit. 382 00:20:05,280 --> 00:20:06,160 Speaker 5: So we've seen. 383 00:20:06,200 --> 00:20:13,119 Speaker 11: Significant positive earnings and free cash revisions upwards. Margin expansions 384 00:20:13,359 --> 00:20:17,239 Speaker 11: have taken place, but what has been pressured is the 385 00:20:17,320 --> 00:20:21,960 Speaker 11: net revenue retention rates as expansions have slowed as customers 386 00:20:21,960 --> 00:20:29,080 Speaker 11: have cut back on spending and optimized their budgets with these. 387 00:20:28,400 --> 00:20:31,159 Speaker 5: Big megacaps and other software providers. 388 00:20:31,600 --> 00:20:35,080 Speaker 11: So the question is going forward into twenty twenty four 389 00:20:35,480 --> 00:20:40,359 Speaker 11: with genai products from all these software companies ramping, whether 390 00:20:40,840 --> 00:20:46,439 Speaker 11: that will serve as an incremental monetization driver into twenty 391 00:20:46,480 --> 00:20:51,600 Speaker 11: four to drive you know, better revenue growth, especially given 392 00:20:51,640 --> 00:20:55,159 Speaker 11: that the macro environment continues to be broadly stable and 393 00:20:55,200 --> 00:20:59,359 Speaker 11: the comps are going to be easier into twenty twenty four. 394 00:21:00,200 --> 00:21:04,360 Speaker 11: Point I would highlight on this front is that we 395 00:21:04,400 --> 00:21:08,600 Speaker 11: should not overlook the lapping of the precipitous decline in 396 00:21:08,680 --> 00:21:12,520 Speaker 11: ventor capital funding that started in two Q of last year. 397 00:21:13,160 --> 00:21:17,480 Speaker 11: If you look at the trailing twelvemonth VC funding, it 398 00:21:17,600 --> 00:21:20,320 Speaker 11: is sitting at two hundred and sixty two billion, which 399 00:21:20,359 --> 00:21:23,359 Speaker 11: is down a little over fifty percent year of a 400 00:21:23,440 --> 00:21:25,640 Speaker 11: year from five hundred and thirty. 401 00:21:25,440 --> 00:21:27,200 Speaker 5: Eight billion last year. 402 00:21:27,880 --> 00:21:31,360 Speaker 11: And the biggest negative step step down occurred between Q 403 00:21:31,400 --> 00:21:32,640 Speaker 11: two and Q three. 404 00:21:32,480 --> 00:21:33,359 Speaker 5: Of last year. 405 00:21:33,960 --> 00:21:37,960 Speaker 11: And you know, assuming a certain percentage of these VC 406 00:21:38,200 --> 00:21:41,680 Speaker 11: funds end up as public cloud revenues, the drag from 407 00:21:41,760 --> 00:21:45,800 Speaker 11: that collapse in VC funding exactly a year ago, by 408 00:21:45,880 --> 00:21:48,399 Speaker 11: our estimate, is, you know, is a drag of about 409 00:21:48,480 --> 00:21:50,639 Speaker 11: ten percent of public cloud revenues. 410 00:21:51,040 --> 00:21:51,840 Speaker 5: So I think the. 411 00:21:51,840 --> 00:21:55,960 Speaker 11: Comps are are easing into into the back half. So 412 00:21:56,680 --> 00:21:59,520 Speaker 11: that's the backdrop, and you know, we're very interested to 413 00:21:59,560 --> 00:22:04,479 Speaker 11: see how the revenues flow are reported tonight. 414 00:22:05,040 --> 00:22:08,800 Speaker 4: Something I'm keeping a close eye on is buybacks because 415 00:22:08,840 --> 00:22:11,720 Speaker 4: we know that technology companies in particular have been a 416 00:22:11,800 --> 00:22:13,760 Speaker 4: key pillar of support when you think about the broader 417 00:22:14,320 --> 00:22:16,840 Speaker 4: stock market in last year with those buybacks being at 418 00:22:16,880 --> 00:22:18,680 Speaker 4: a record, but they did slow in the first half 419 00:22:18,760 --> 00:22:21,360 Speaker 4: of the year. As technology companies, obviously we're going through 420 00:22:21,359 --> 00:22:24,360 Speaker 4: a lot of cost cutting efforts. What are you expecting 421 00:22:24,440 --> 00:22:26,359 Speaker 4: to hear on that front from some of these big 422 00:22:26,400 --> 00:22:27,040 Speaker 4: tech companies. 423 00:22:27,640 --> 00:22:33,280 Speaker 11: Yeah, we expect capital allocation to be an important top 424 00:22:33,359 --> 00:22:36,320 Speaker 11: and going forward, given the cost of capital is higher, 425 00:22:36,920 --> 00:22:42,320 Speaker 11: and so I think expect a similar strategy going forward 426 00:22:42,400 --> 00:22:45,200 Speaker 11: in terms of buybacks as. 427 00:22:45,000 --> 00:22:46,760 Speaker 5: Free cash flows have ramped up. 428 00:22:47,119 --> 00:22:51,960 Speaker 11: I do expect, I do expect a balance between investments 429 00:22:52,000 --> 00:22:58,479 Speaker 11: and buybacks, and I don't expect any major surprises on 430 00:22:58,520 --> 00:22:59,879 Speaker 11: that front going forward. 431 00:23:00,400 --> 00:23:02,520 Speaker 1: So now, for the first half of the year, we 432 00:23:02,560 --> 00:23:05,919 Speaker 1: all learned a new term AI, and every company that 433 00:23:06,000 --> 00:23:08,360 Speaker 1: reported earnings for two or three quarters, whether they may 434 00:23:08,800 --> 00:23:11,879 Speaker 1: dog food or where they may, you know, missiles talked 435 00:23:11,880 --> 00:23:15,119 Speaker 1: about how AI is transforming their business in the supercharge 436 00:23:15,119 --> 00:23:22,000 Speaker 1: at Kroger Croker when they's McDonald's. What is AI to 437 00:23:22,080 --> 00:23:25,080 Speaker 1: you and is it incremental to spending? 438 00:23:25,760 --> 00:23:28,480 Speaker 5: Yes, it's an interesting uh. 439 00:23:29,359 --> 00:23:32,439 Speaker 11: You know initially when uh, if you look at the 440 00:23:32,560 --> 00:23:36,040 Speaker 11: equity performance between me and July, we got we were 441 00:23:36,080 --> 00:23:40,639 Speaker 11: in the hype cycle of AI, and in general, I 442 00:23:40,680 --> 00:23:45,840 Speaker 11: would say investors generally overestimate the impact of new technologies 443 00:23:45,960 --> 00:23:49,440 Speaker 11: like jen ai and the near term, but under estimate 444 00:23:49,560 --> 00:23:53,719 Speaker 11: the longer term impact. So what is jen A I definitely, 445 00:23:53,800 --> 00:23:56,840 Speaker 11: I think, you know, we've been, as part of our 446 00:23:56,880 --> 00:23:59,800 Speaker 11: ongoing due diligence, talk to a lot of customers. We've 447 00:24:00,000 --> 00:24:07,040 Speaker 11: spoken to leaders of IT departments at big financial institutions, industrials, 448 00:24:07,080 --> 00:24:13,399 Speaker 11: and healthcare companies, and there is definitely a view internally 449 00:24:13,520 --> 00:24:19,520 Speaker 11: that GENI could be a meaningful productivity enhancer, and all 450 00:24:19,600 --> 00:24:26,560 Speaker 11: these companies are exploring different GENI use cases within their organizations. 451 00:24:26,560 --> 00:24:32,040 Speaker 11: Our senses that the first use cases for GENI are 452 00:24:32,080 --> 00:24:37,640 Speaker 11: probably going to be internal use cases to improve productivity improvement, 453 00:24:39,160 --> 00:24:44,760 Speaker 11: be it in a call center agent, for a marketing professional, 454 00:24:44,880 --> 00:24:49,119 Speaker 11: for a software developer. These tools, anecdotally, what we've heard, 455 00:24:49,920 --> 00:24:53,320 Speaker 11: increased productivity by twenty five to thirty percent, so they're 456 00:24:53,359 --> 00:24:58,280 Speaker 11: definitely pretty impactful. There's a lot of interest within organizations, 457 00:24:58,600 --> 00:25:04,160 Speaker 11: but they're also mindful and want to understand the data 458 00:25:04,240 --> 00:25:11,159 Speaker 11: privacy issues around GENI, security issues around GENI, and the cost, 459 00:25:12,320 --> 00:25:15,639 Speaker 11: you know, the cost of implementing JENI. So they're moving 460 00:25:15,800 --> 00:25:19,919 Speaker 11: thoughtfully and conservatively. That's why I said we overestimate the 461 00:25:19,960 --> 00:25:23,840 Speaker 11: impact of the near term but underestimate the longer term impact. 462 00:25:24,200 --> 00:25:29,800 Speaker 11: So as GENI products from software vendorors become generally, you know, 463 00:25:29,840 --> 00:25:33,840 Speaker 11: more generally available. Microsoft's is coming out on November first, 464 00:25:33,880 --> 00:25:37,040 Speaker 11: for example, a lot of these tools will be rolled out. 465 00:25:38,160 --> 00:25:42,080 Speaker 11: Then the enterprises will, you know, decide whether it makes 466 00:25:42,119 --> 00:25:45,560 Speaker 11: sense for them at the cost at the price points. 467 00:25:45,440 --> 00:25:46,520 Speaker 5: That they're being delivered. 468 00:25:47,240 --> 00:25:51,119 Speaker 11: But from our vantage point, it's more of twenty twenty 469 00:25:51,160 --> 00:25:53,640 Speaker 11: four twenty twenty five revenue growth. 470 00:25:53,440 --> 00:25:56,600 Speaker 4: Through did we only have about a minute left. But 471 00:25:56,840 --> 00:25:59,080 Speaker 4: if you are able to join the earnings call for 472 00:25:59,400 --> 00:26:03,400 Speaker 4: Microsoft or Alphabet, what question would you ask for each company? 473 00:26:03,920 --> 00:26:09,400 Speaker 11: Yeah, the number one question is what is happening on 474 00:26:09,560 --> 00:26:17,160 Speaker 11: the consumption optimized optimization? Have customers optimize the spend or 475 00:26:17,240 --> 00:26:19,600 Speaker 11: is there more to go on that front? And the 476 00:26:19,680 --> 00:26:24,560 Speaker 11: second is the trajectory of the capex spending. You know, 477 00:26:25,040 --> 00:26:28,600 Speaker 11: that's an important tell for future demand that may be 478 00:26:28,600 --> 00:26:30,600 Speaker 11: coming on the GENI front. 479 00:26:30,600 --> 00:26:32,520 Speaker 1: Because the expect I mean the understanding or a least 480 00:26:32,520 --> 00:26:37,320 Speaker 1: my understanding is jen Ai is incremental to existing budgets. 481 00:26:37,440 --> 00:26:39,040 Speaker 1: Is that true in your mind? 482 00:26:39,480 --> 00:26:44,959 Speaker 11: So there will be definitely repurposing off budgets, So savings 483 00:26:45,040 --> 00:26:48,400 Speaker 11: in some parts of the budget will be repurposed to JENNI. 484 00:26:49,680 --> 00:26:52,600 Speaker 5: But you know, I do believe that. 485 00:26:53,440 --> 00:26:57,400 Speaker 11: You know, our conversations are suggesting that the IT budgets 486 00:26:57,400 --> 00:27:00,840 Speaker 11: are looking to go up mid to high single percentage 487 00:27:00,880 --> 00:27:04,760 Speaker 11: points in twenty twenty four. So and part of that 488 00:27:04,960 --> 00:27:08,840 Speaker 11: is Jenny I related. And that view is that budget 489 00:27:08,840 --> 00:27:11,040 Speaker 11: outlook is slightly better than what we've seen in twenty 490 00:27:11,080 --> 00:27:11,560 Speaker 11: twenty three. 491 00:27:11,720 --> 00:27:14,919 Speaker 1: Okay, very good. We'll certainly be paying attention to the 492 00:27:15,280 --> 00:27:18,760 Speaker 1: Microsoft and to the Google numbers after the closed tonight. 493 00:27:18,840 --> 00:27:23,600 Speaker 1: So neutrala partner and portfolio manager at Times Square Capital Management, 494 00:27:24,480 --> 00:27:26,960 Speaker 1: timely discussion here as we get ready to kick off 495 00:27:26,960 --> 00:27:28,560 Speaker 1: some big, big tech earnings. 496 00:27:29,520 --> 00:27:33,360 Speaker 7: You're listening to the Team Ken's live program Bloomberg Markets 497 00:27:33,400 --> 00:27:36,480 Speaker 7: weekdays at ten am Eastern on Bloomberg dot com, the 498 00:27:36,560 --> 00:27:39,720 Speaker 7: iHeartRadio app, and the Bloomberg Business app, or listen on 499 00:27:39,760 --> 00:27:41,879 Speaker 7: demand wherever you get your podcasts. 500 00:27:44,200 --> 00:27:48,560 Speaker 1: Ank Rate dot Com US homeworkers thirty year fixed seven 501 00:27:48,600 --> 00:27:52,200 Speaker 1: point ninety eight percent. Just extraordinary. That is the high 502 00:27:52,280 --> 00:27:54,280 Speaker 1: since March of two thousand. 503 00:27:54,440 --> 00:27:54,720 Speaker 5: Wow. 504 00:27:54,960 --> 00:27:58,080 Speaker 1: Makes me feel less dumb for my six percent mortgage 505 00:27:58,119 --> 00:28:00,320 Speaker 1: I got back in March of this year. I did 506 00:28:00,320 --> 00:28:02,959 Speaker 1: feel a little like a knucklehead back then. Six percent, 507 00:28:03,040 --> 00:28:05,600 Speaker 1: but not too bad. But that can't be good for 508 00:28:05,800 --> 00:28:07,879 Speaker 1: like the housing market overall. Let's check in with somebody 509 00:28:07,880 --> 00:28:12,320 Speaker 1: who knows this stuff, Brad Dilman, Chief Economists, RPM Living 510 00:28:12,560 --> 00:28:14,479 Speaker 1: is the firm. Hey, Brad, we got a mortgage RDE 511 00:28:14,520 --> 00:28:17,760 Speaker 1: up there at eight percent on the thirty year fixed man, 512 00:28:17,800 --> 00:28:19,840 Speaker 1: what's that mean for the residential real estate market? 513 00:28:21,000 --> 00:28:22,479 Speaker 12: Well, I think we can see that in the existing 514 00:28:22,520 --> 00:28:23,000 Speaker 12: home sales. 515 00:28:23,080 --> 00:28:26,760 Speaker 13: Right If that number is now at four million seasonally annualized, 516 00:28:26,760 --> 00:28:28,879 Speaker 13: that's pretty ugly that we got to go back to 517 00:28:28,920 --> 00:28:30,760 Speaker 13: the Great Recession to see a figure that bad. 518 00:28:30,840 --> 00:28:33,280 Speaker 12: So it translates into low volume, that's for sure. 519 00:28:33,760 --> 00:28:36,080 Speaker 4: And we're going to get a batch of housing data 520 00:28:36,160 --> 00:28:39,360 Speaker 4: throughout this week, so starting tomorrow will have us new 521 00:28:39,440 --> 00:28:43,040 Speaker 4: home sales for the month of September. When we did 522 00:28:43,040 --> 00:28:45,960 Speaker 4: get August data, it did fall to a five month low. 523 00:28:46,320 --> 00:28:49,040 Speaker 4: What are you thinking that we'll end up seeing from 524 00:28:49,080 --> 00:28:50,240 Speaker 4: this data tomorrow? 525 00:28:51,640 --> 00:28:53,680 Speaker 13: I think the the consensus figure I had in front 526 00:28:53,680 --> 00:28:54,840 Speaker 13: of me was six eighty six. 527 00:28:55,080 --> 00:28:56,320 Speaker 12: I think we may actually beat that. 528 00:28:56,320 --> 00:28:59,240 Speaker 13: AT's say, six hundred eighty six thousand seasonally, just at annualized, 529 00:28:59,240 --> 00:29:00,840 Speaker 13: I think it will come in seven hundred, but I 530 00:29:00,880 --> 00:29:02,480 Speaker 13: think it'll have a little bit more strength to it. 531 00:29:03,120 --> 00:29:05,360 Speaker 13: New home sales obviously came down from their peak, but 532 00:29:05,400 --> 00:29:07,920 Speaker 13: you know, if you compare them to pre COVID era, 533 00:29:08,160 --> 00:29:09,280 Speaker 13: they're still pretty strong. 534 00:29:10,120 --> 00:29:13,560 Speaker 4: Also, though, another data point that will get later this week, 535 00:29:13,600 --> 00:29:15,760 Speaker 4: which is important to look at the future direction when 536 00:29:15,800 --> 00:29:17,560 Speaker 4: it comes to the housing market is also when you're 537 00:29:17,560 --> 00:29:20,280 Speaker 4: looking at housing starts and building permits, and when you're 538 00:29:20,320 --> 00:29:23,040 Speaker 4: looking at pending home sales. Obviously a leading indicator of 539 00:29:23,080 --> 00:29:25,800 Speaker 4: existing home sales, given typically they're going to go under 540 00:29:25,880 --> 00:29:28,720 Speaker 4: contract a month or two before they're end up being sold. 541 00:29:29,000 --> 00:29:31,400 Speaker 4: What are you seeing on that end, and is that 542 00:29:31,520 --> 00:29:34,320 Speaker 4: showing any sort of promising signs? More broadly for the 543 00:29:34,320 --> 00:29:36,120 Speaker 4: housing market, You know, I. 544 00:29:36,080 --> 00:29:38,120 Speaker 13: Really look at the builders when I think about this, 545 00:29:38,200 --> 00:29:39,840 Speaker 13: and what I saw with them was really in the 546 00:29:39,880 --> 00:29:42,720 Speaker 13: last ninety days or so, the reporting of a material 547 00:29:42,760 --> 00:29:45,960 Speaker 13: slowdown in community traffic that's very clearly tied to the 548 00:29:46,000 --> 00:29:48,360 Speaker 13: recent move in the ten year treasury rate. I think 549 00:29:48,480 --> 00:29:50,320 Speaker 13: when we look at the existing home sales side and 550 00:29:50,360 --> 00:29:52,440 Speaker 13: pending home sales and how that may move. We really 551 00:29:52,520 --> 00:29:54,600 Speaker 13: end up with a question of geography here, and it 552 00:29:54,600 --> 00:29:56,400 Speaker 13: translates to what we see on the rental market too. 553 00:29:56,480 --> 00:29:57,800 Speaker 12: The areas that are really strong thing. 554 00:29:57,960 --> 00:30:03,240 Speaker 13: It's Madison, Wisconsin, Maha, Nebraska, Urbana, Champagne, Illinois. It's markets 555 00:30:03,280 --> 00:30:05,160 Speaker 13: that really haven't been in the spotlight in terms of 556 00:30:05,160 --> 00:30:07,360 Speaker 13: housing in quite some time. And these may be the 557 00:30:07,440 --> 00:30:10,040 Speaker 13: kinds of areas that actually lead even in this high 558 00:30:10,080 --> 00:30:11,000 Speaker 13: interest rate environment. 559 00:30:11,720 --> 00:30:15,240 Speaker 1: So, Bret, I've heard, I've heard from real estate folks 560 00:30:15,240 --> 00:30:17,800 Speaker 1: like yourselves that there's just not enough housing in the 561 00:30:17,920 --> 00:30:21,240 Speaker 1: United States And A Tory, how did that happen? If 562 00:30:21,240 --> 00:30:24,880 Speaker 1: that's even true? And I mean, b how do you 563 00:30:24,920 --> 00:30:25,320 Speaker 1: fix it? 564 00:30:26,520 --> 00:30:28,240 Speaker 12: So A, Yeah, I think it is true. 565 00:30:28,600 --> 00:30:30,800 Speaker 13: My own analysis shows that we're under built by about 566 00:30:30,800 --> 00:30:33,280 Speaker 13: six hundred and fifty thousand units right now. How that 567 00:30:33,360 --> 00:30:35,280 Speaker 13: happened really goes all the way back to the Great 568 00:30:35,320 --> 00:30:38,080 Speaker 13: Recession and really our efforts to stimulate home prices for 569 00:30:38,120 --> 00:30:40,160 Speaker 13: about five years by. 570 00:30:39,960 --> 00:30:42,400 Speaker 12: Increasing affordability on the margin. 571 00:30:42,480 --> 00:30:45,280 Speaker 13: Back then, it resulted in less affordability and subsequent time 572 00:30:45,320 --> 00:30:48,840 Speaker 13: periods and therefore lower construction volume, particularly in single family 573 00:30:48,840 --> 00:30:52,440 Speaker 13: where it took more savings and migration to affordability for 574 00:30:52,520 --> 00:30:55,600 Speaker 13: people to own. Now we are closing this gap. The 575 00:30:55,640 --> 00:30:57,840 Speaker 13: degree to which we're underbuilt has been made up four 576 00:30:57,840 --> 00:31:00,400 Speaker 13: in two parts. One has been that we have seen 577 00:31:00,440 --> 00:31:03,080 Speaker 13: a de facto housing supply stimulus in terms of COVID 578 00:31:03,080 --> 00:31:06,280 Speaker 13: era response. We saw fiction moratoria translates to high rank 579 00:31:06,280 --> 00:31:08,760 Speaker 13: growth and that into high multifamily starts. And then of 580 00:31:08,760 --> 00:31:10,720 Speaker 13: course the really low interest rates that we had back 581 00:31:10,720 --> 00:31:13,440 Speaker 13: then in terms of mortgages translating to home price appreciation, 582 00:31:13,800 --> 00:31:16,560 Speaker 13: which translated into a lot of single family starts. We're 583 00:31:16,560 --> 00:31:18,400 Speaker 13: closing this gap. I think we're under built by six 584 00:31:18,440 --> 00:31:21,520 Speaker 13: hundred and fifty thousand units today. Let's put that in context. 585 00:31:21,600 --> 00:31:24,240 Speaker 13: There's nearly one point seven million housing units under construction 586 00:31:24,480 --> 00:31:27,400 Speaker 13: right now, so that means we've just by today's figures. Yeah, 587 00:31:27,440 --> 00:31:29,479 Speaker 13: you've got to figure in obsolescence and such. But if 588 00:31:29,520 --> 00:31:32,400 Speaker 13: we finished everything that's under construction right now, we'd be 589 00:31:32,440 --> 00:31:33,600 Speaker 13: overbuilt by a million units. 590 00:31:34,280 --> 00:31:37,240 Speaker 4: What about when it comes to particular home builders, because 591 00:31:37,320 --> 00:31:40,480 Speaker 4: dear Horton Lenard, they have a particular demographic when it 592 00:31:40,520 --> 00:31:43,520 Speaker 4: comes to that, But when it comes to housing affordability 593 00:31:43,880 --> 00:31:47,320 Speaker 4: for lower income demographics, what builders do you think are 594 00:31:47,360 --> 00:31:50,760 Speaker 4: out there that could help this particular segment of the population. 595 00:31:51,800 --> 00:31:53,480 Speaker 13: I just think it's going to be smaller builders, some 596 00:31:53,480 --> 00:31:55,479 Speaker 13: of which may not even be publicly traded, right These 597 00:31:55,520 --> 00:31:56,960 Speaker 13: are going to be folks who are in these much 598 00:31:56,960 --> 00:31:59,080 Speaker 13: smaller markets that actually have a pretty. 599 00:31:58,800 --> 00:31:59,720 Speaker 12: Good land basis. 600 00:32:00,040 --> 00:32:01,920 Speaker 13: If we look at the big builders that focus on 601 00:32:01,960 --> 00:32:03,760 Speaker 13: that move up buyer, that's really where a lot of 602 00:32:03,800 --> 00:32:06,480 Speaker 13: the pain is right now. These people can't sell their 603 00:32:06,480 --> 00:32:09,080 Speaker 13: existing home at an attractive enough price really because of 604 00:32:09,120 --> 00:32:11,239 Speaker 13: mortgage rates, and then they can't turn around and get 605 00:32:11,280 --> 00:32:13,400 Speaker 13: the discounts that they'd really need into the home that 606 00:32:13,400 --> 00:32:14,240 Speaker 13: they would move into. 607 00:32:14,440 --> 00:32:15,840 Speaker 12: So the move up buyers really hurt. 608 00:32:15,880 --> 00:32:17,960 Speaker 13: Right now, we're seeing a little bit of a shift 609 00:32:17,960 --> 00:32:20,520 Speaker 13: i'd say to you know, call it C locations, not 610 00:32:20,560 --> 00:32:22,880 Speaker 13: so much in the D locations anymore, but a shift 611 00:32:22,920 --> 00:32:25,720 Speaker 13: back in to see a focus on kind of smaller 612 00:32:25,720 --> 00:32:29,160 Speaker 13: and higher quality product that really might kind of reflect 613 00:32:29,360 --> 00:32:31,959 Speaker 13: a bumping down effect when it comes to ownership. We 614 00:32:32,000 --> 00:32:34,080 Speaker 13: can flip that to the rental side, where it looks 615 00:32:34,160 --> 00:32:37,560 Speaker 13: like supply, you know, is siphoning demand from Class B 616 00:32:37,920 --> 00:32:40,440 Speaker 13: and providing a lot of alternatives now for renters who 617 00:32:40,520 --> 00:32:42,960 Speaker 13: look to more affordable but still quality options. 618 00:32:43,440 --> 00:32:45,720 Speaker 1: Are you? Are you down in Atlanta, Bread? 619 00:32:46,920 --> 00:32:48,400 Speaker 12: No, I'm in Clintonville, Wisconsin. 620 00:32:48,520 --> 00:32:48,920 Speaker 1: Clinton. 621 00:32:49,640 --> 00:32:50,200 Speaker 12: I'm remote. 622 00:32:50,240 --> 00:32:52,280 Speaker 13: I work for a company that's based out of Austin, 623 00:32:52,320 --> 00:32:54,560 Speaker 13: and I spend time there, but I'm in rural Wisconsin, 624 00:32:54,600 --> 00:32:55,760 Speaker 13: which is where the wife is from. 625 00:32:56,080 --> 00:32:57,760 Speaker 1: Clinton. Where's Clinton, Wisconsin? 626 00:32:58,680 --> 00:33:01,240 Speaker 12: Clintonville is about forty five five minutes west of Green Bay. 627 00:33:01,800 --> 00:33:03,040 Speaker 12: They make fire trucks out here. 628 00:33:03,400 --> 00:33:04,800 Speaker 1: So how's the winter treating you so far? 629 00:33:05,680 --> 00:33:07,040 Speaker 12: It's not too bad. Yeah, I got a little bit 630 00:33:07,040 --> 00:33:08,080 Speaker 12: of a storm right now, but. 631 00:33:07,960 --> 00:33:09,400 Speaker 8: It's actually a beautiful fall. 632 00:33:09,920 --> 00:33:11,480 Speaker 13: But may we talk in a few months when it's 633 00:33:11,480 --> 00:33:12,840 Speaker 13: you know, dark at four o'clock contea? 634 00:33:13,040 --> 00:33:13,120 Speaker 4: Right? 635 00:33:13,160 --> 00:33:13,440 Speaker 10: All right? 636 00:33:13,440 --> 00:33:15,000 Speaker 1: If I want so, if I want to buy a 637 00:33:15,040 --> 00:33:19,800 Speaker 1: four bedroom fairly new construction, Clintonville, Wisconsin, what's that going 638 00:33:19,800 --> 00:33:20,200 Speaker 1: to run me? 639 00:33:21,200 --> 00:33:22,840 Speaker 12: Well, there's not too much supply out here, I'll tell 640 00:33:22,840 --> 00:33:23,120 Speaker 12: you that. 641 00:33:23,720 --> 00:33:25,640 Speaker 13: But you know, we I think we can say that, 642 00:33:25,760 --> 00:33:28,040 Speaker 13: you know, on the on the new home side, prices 643 00:33:28,080 --> 00:33:29,160 Speaker 13: are down from their peak. 644 00:33:29,440 --> 00:33:31,080 Speaker 12: I would think if you wanted to build. 645 00:33:30,800 --> 00:33:32,720 Speaker 13: In rural America, if you wanted to go build, and 646 00:33:33,080 --> 00:33:35,440 Speaker 13: you know Urbana Champaign, which is is rural enough for 647 00:33:35,440 --> 00:33:37,640 Speaker 13: anybody who's sitting in New York or a major metropolitan 648 00:33:37,640 --> 00:33:40,400 Speaker 13: area and you want your four bedroom house. 649 00:33:40,160 --> 00:33:42,360 Speaker 12: That's really nice. You've been looking anywhere from three fifty 650 00:33:42,440 --> 00:33:43,360 Speaker 12: to four to fifty. 651 00:33:43,800 --> 00:33:46,360 Speaker 4: Do you talk to brokers often and if so, what 652 00:33:46,400 --> 00:33:49,000 Speaker 4: are they telling you about what they're hearing anecdotally from 653 00:33:49,000 --> 00:33:49,920 Speaker 4: potential buyers. 654 00:33:51,000 --> 00:33:53,280 Speaker 13: You know, I don't talk to brokers personally. I'm a 655 00:33:53,360 --> 00:33:55,400 Speaker 13: data guy, right, so I see through this in data 656 00:33:55,440 --> 00:33:56,240 Speaker 13: and reading reports. 657 00:33:56,440 --> 00:33:58,440 Speaker 12: But what I am hearing from the home builders. 658 00:33:58,200 --> 00:34:00,840 Speaker 13: Has been this really this decline in community trap that 659 00:34:00,880 --> 00:34:03,000 Speaker 13: you know, the builders have been buying down rate for people. 660 00:34:03,000 --> 00:34:05,760 Speaker 12: They're really getting to the end of that. They're not 661 00:34:05,800 --> 00:34:08,279 Speaker 12: wanting to cut their asking price yet, and so they're 662 00:34:08,320 --> 00:34:08,839 Speaker 12: turning around. 663 00:34:08,840 --> 00:34:11,560 Speaker 13: They're trying to make up margin by basically going after 664 00:34:11,600 --> 00:34:13,719 Speaker 13: the trade so labor and materials cost and trying to 665 00:34:13,719 --> 00:34:15,000 Speaker 13: get concessions on that front. 666 00:34:16,040 --> 00:34:18,680 Speaker 1: Dude, you're not kidding, man. I just popped up Clintonville 667 00:34:18,719 --> 00:34:22,120 Speaker 1: on the Google Maps. You are west of Green Bay, 668 00:34:23,400 --> 00:34:27,720 Speaker 1: northwest of Appleton. That, dude, you are like the center 669 00:34:27,760 --> 00:34:30,440 Speaker 1: of American No, no question, right, what's it? How's life 670 00:34:30,480 --> 00:34:31,000 Speaker 1: out there? 671 00:34:31,840 --> 00:34:31,960 Speaker 13: Oh? 672 00:34:32,000 --> 00:34:33,400 Speaker 12: I've only been out here for about a month and 673 00:34:33,440 --> 00:34:35,640 Speaker 12: a half in California. 674 00:34:35,760 --> 00:34:38,080 Speaker 13: I was in Seattle, I was in Boston, I was 675 00:34:38,120 --> 00:34:39,919 Speaker 13: in London, and then I was in Atlanta. 676 00:34:40,040 --> 00:34:42,040 Speaker 12: All for me, it's the holy region of the country, 677 00:34:42,080 --> 00:34:42,480 Speaker 12: and it's. 678 00:34:42,320 --> 00:34:45,160 Speaker 4: Still neat all right, look at less about like the economy, Like, 679 00:34:45,200 --> 00:34:46,160 Speaker 4: what are you seeing out there? 680 00:34:47,600 --> 00:34:50,080 Speaker 12: Some growth? Right, you know, an area like this. HA 681 00:34:50,200 --> 00:34:51,640 Speaker 12: had a tough time coming out. 682 00:34:51,560 --> 00:34:53,719 Speaker 13: Of the Great Recession for quite a long time, and 683 00:34:53,719 --> 00:34:56,239 Speaker 13: I'd say really around twenty eighteen twenty or nineteen or 684 00:34:56,239 --> 00:34:58,440 Speaker 13: so things started to pick up awesome, and then of 685 00:34:58,440 --> 00:35:01,200 Speaker 13: course the pandemic led to enough remote work and then 686 00:35:01,280 --> 00:35:03,440 Speaker 13: some continued growth out here. You know, out here though 687 00:35:03,440 --> 00:35:05,800 Speaker 13: it's a lot of farming, it's manufacturing, right, We build 688 00:35:05,800 --> 00:35:07,759 Speaker 13: fire trucks and a little. 689 00:35:07,480 --> 00:35:09,640 Speaker 12: Bit in terms of wind turbines and things like this. 690 00:35:09,880 --> 00:35:13,000 Speaker 1: Awesome, all right, Brad, Great chatting with you. Great getting 691 00:35:13,000 --> 00:35:16,560 Speaker 1: the local color from Clintonville, Wisconsin. Bradilman, he's the chief 692 00:35:16,560 --> 00:35:18,440 Speaker 1: economist RPM Living. 693 00:35:18,760 --> 00:35:21,800 Speaker 7: You're listening to the tape Cat's are live program Bloomberg 694 00:35:21,920 --> 00:35:25,520 Speaker 7: Markets weekdays at ten am Eastern on Bloomberg Radio, the 695 00:35:25,560 --> 00:35:28,799 Speaker 7: tune in app, Bloomberg dot Com, and the Bloomberg Business app. 696 00:35:28,840 --> 00:35:31,640 Speaker 7: You can also listen live on Amazon Alexa from our 697 00:35:31,680 --> 00:35:36,040 Speaker 7: flagship New York station, Just Say Alexa, play Bloomberg eleven. 698 00:35:35,760 --> 00:35:39,680 Speaker 1: Thirty, Coley Smith plus twenty live here in our Bloomberg 699 00:35:39,719 --> 00:35:42,200 Speaker 1: Interactor Broker Studio Earnings Here, we're all been focusing on 700 00:35:42,200 --> 00:35:44,440 Speaker 1: the tech earnings coming out after the close. We had 701 00:35:44,480 --> 00:35:48,480 Speaker 1: some good industrial earnings out three M and Gee Boast 702 00:35:48,480 --> 00:35:50,680 Speaker 1: had some pretty good numbers, boosted the profit outlook. The 703 00:35:50,680 --> 00:35:52,600 Speaker 1: stocks are up five or six percent. We said we 704 00:35:52,680 --> 00:35:54,640 Speaker 1: got to get Brook Sutherland in here. She is the 705 00:35:54,680 --> 00:35:59,720 Speaker 1: Bloomberg opinion person who covers industrial America like no one else. Hey, Brook, 706 00:36:00,120 --> 00:36:02,720 Speaker 1: I don't know, it seems like industrial America is doing Okay, 707 00:36:02,760 --> 00:36:05,200 Speaker 1: what are your takeaways from three M? Do you know 708 00:36:05,239 --> 00:36:10,759 Speaker 1: what THREEM stands for? This is an awkward mining and 709 00:36:10,800 --> 00:36:12,399 Speaker 1: manufacturing three M? And GE? 710 00:36:12,600 --> 00:36:14,880 Speaker 14: What G stands for General Alegen? 711 00:36:15,320 --> 00:36:17,880 Speaker 1: There you go, got one of us exactly what your 712 00:36:17,920 --> 00:36:19,600 Speaker 1: takeaway brooks from some of these companies here. 713 00:36:19,840 --> 00:36:23,680 Speaker 15: Sure, So there's unique stories happening at both GE and 714 00:36:23,840 --> 00:36:26,560 Speaker 15: three M, and so you know at GE it's really 715 00:36:26,560 --> 00:36:29,759 Speaker 15: a story of just the aerospace market is continuing to 716 00:36:29,840 --> 00:36:33,319 Speaker 15: boom and there is a supply problem there rather than 717 00:36:33,360 --> 00:36:36,600 Speaker 15: a demand problem that the airlines of the world air 718 00:36:36,680 --> 00:36:40,040 Speaker 15: lessers want more aircraft, more jet engines than these companies 719 00:36:40,080 --> 00:36:43,640 Speaker 15: can produce, and demand is really fair to robust still. 720 00:36:43,840 --> 00:36:46,720 Speaker 1: So GE, do you not have the supply chain product 721 00:36:47,160 --> 00:36:49,759 Speaker 1: in I guess the stuff to make them, or you're 722 00:36:49,800 --> 00:36:51,160 Speaker 1: just a capacity. 723 00:36:51,400 --> 00:36:53,360 Speaker 15: It's a little bit of both. And so what was 724 00:36:53,400 --> 00:36:56,800 Speaker 15: interesting in the US is that while we extended payroll 725 00:36:56,840 --> 00:36:59,360 Speaker 15: aid to the airlines during the pandemic, we did not 726 00:36:59,560 --> 00:37:02,279 Speaker 15: do that the aircraft manufacturers, and so all of these 727 00:37:02,280 --> 00:37:07,200 Speaker 15: companies slashed their workforces very aggressively, and then when they 728 00:37:07,480 --> 00:37:10,200 Speaker 15: tried to rehire them, they found that that was more 729 00:37:10,440 --> 00:37:12,279 Speaker 15: difficult than they thought it was going to be. That 730 00:37:12,320 --> 00:37:14,640 Speaker 15: a number of people had sort of retired. There was 731 00:37:14,640 --> 00:37:17,480 Speaker 15: obviously a lot of competition for skilled labor. That is 732 00:37:17,520 --> 00:37:22,280 Speaker 15: particularly true this labor shortage issue at the smaller supplier. 733 00:37:22,360 --> 00:37:25,080 Speaker 15: So if you're a company like GE, your ability to 734 00:37:25,120 --> 00:37:28,120 Speaker 15: compete for top talent is better than somebody further down 735 00:37:28,160 --> 00:37:31,160 Speaker 15: the line. But of course GE depends on these smaller 736 00:37:31,400 --> 00:37:33,400 Speaker 15: suppliers to be able to churn out jet engines. I 737 00:37:33,400 --> 00:37:36,480 Speaker 15: talked with Larry Cole this morning actually, and the CEO 738 00:37:36,520 --> 00:37:39,320 Speaker 15: of GE and talked about how they're still seeing supply 739 00:37:39,440 --> 00:37:42,880 Speaker 15: chain constraints and the delinquent trees were up in the 740 00:37:42,920 --> 00:37:45,439 Speaker 15: third quarter relative to the second quarter. They're working hand 741 00:37:45,480 --> 00:37:47,399 Speaker 15: in hand with their supply chain to try to really 742 00:37:47,520 --> 00:37:49,840 Speaker 15: ramp up output, but it is it's challenging. 743 00:37:50,480 --> 00:37:54,680 Speaker 14: How much has a story of materials versus labor issues. 744 00:37:55,200 --> 00:37:58,200 Speaker 15: I think it's more on the labor front at this point. 745 00:37:58,280 --> 00:37:59,960 Speaker 15: That's really where the constraints are. 746 00:38:00,520 --> 00:38:03,319 Speaker 1: All right, So three M what's the story there? Three 747 00:38:03,360 --> 00:38:05,359 Speaker 1: at the Saint Palm, Minnesota, great town by the way, 748 00:38:05,360 --> 00:38:05,640 Speaker 1: if you. 749 00:38:05,560 --> 00:38:10,240 Speaker 15: Haven't been, it is it is not a demand story. 750 00:38:10,280 --> 00:38:11,920 Speaker 15: At three AM to the same extent as what we're 751 00:38:11,920 --> 00:38:15,680 Speaker 15: seeing in GE, they actually cut their organic sales growth 752 00:38:15,760 --> 00:38:18,319 Speaker 15: outlook for the year. They're continuing to see a lot 753 00:38:18,360 --> 00:38:22,919 Speaker 15: of weakness and consumer markets, electronics, some spottiness in industrials 754 00:38:22,920 --> 00:38:25,520 Speaker 15: amid a slow down in Europe, and you know, less 755 00:38:26,000 --> 00:38:28,160 Speaker 15: robust performance in China than I think a lot of 756 00:38:28,239 --> 00:38:29,960 Speaker 15: companies were hoping for. As we came out of the 757 00:38:29,960 --> 00:38:33,359 Speaker 15: other end of the COVID lockdowns there, they did raise 758 00:38:33,400 --> 00:38:36,640 Speaker 15: their profit guidance and that reflects very aggressive cost cutting 759 00:38:36,640 --> 00:38:38,880 Speaker 15: actions that they're taking. Now, this is not the first 760 00:38:39,239 --> 00:38:42,800 Speaker 15: restructuring effort by three AM under any stress of the imagination, 761 00:38:42,880 --> 00:38:45,600 Speaker 15: but this one does appeal appear, excuse me, to have 762 00:38:45,640 --> 00:38:48,279 Speaker 15: a little bit more heft to it where it is 763 00:38:48,320 --> 00:38:50,440 Speaker 15: actually showing up on the bottom line. One of the 764 00:38:50,560 --> 00:38:53,239 Speaker 15: long standing complaints that analysts have had about three M 765 00:38:53,400 --> 00:38:55,719 Speaker 15: is that it announces is restructuring programs and then we 766 00:38:55,840 --> 00:38:59,840 Speaker 15: just never really see any kind of impact. That it 767 00:39:00,000 --> 00:39:02,000 Speaker 15: appears to be different this time around, and I think 768 00:39:02,000 --> 00:39:04,200 Speaker 15: that's why you're seeing some enthusiasm around the stuff today. 769 00:39:04,280 --> 00:39:07,040 Speaker 14: Well, tell us a little bit about the restructuring efforts 770 00:39:07,040 --> 00:39:09,640 Speaker 14: that three M has made. I got a little loss 771 00:39:09,680 --> 00:39:11,960 Speaker 14: trying to get ready for this to see just how 772 00:39:11,960 --> 00:39:14,520 Speaker 14: many job cuts they've made and what kinds of different 773 00:39:14,719 --> 00:39:16,480 Speaker 14: stages it's come in. So if you could give us 774 00:39:16,480 --> 00:39:19,200 Speaker 14: a little bit of the backstory there, sure, it's been. 775 00:39:19,080 --> 00:39:21,960 Speaker 15: Going on for a few years now. I mean, the 776 00:39:22,000 --> 00:39:25,800 Speaker 15: bigger issue with three M, apart from arguably a bloated 777 00:39:25,800 --> 00:39:29,040 Speaker 15: cost structure, is that they have these legacy liabilities hanging 778 00:39:29,040 --> 00:39:33,000 Speaker 15: over their head that involve Forever Chemicals or pfas and 779 00:39:33,600 --> 00:39:36,320 Speaker 15: also ear plugs that they sold to the military that 780 00:39:36,440 --> 00:39:40,319 Speaker 15: veterans have alleged contributed to hearing loss. So those have 781 00:39:40,400 --> 00:39:43,600 Speaker 15: really been weighing on the company because they were somewhat 782 00:39:43,640 --> 00:39:45,799 Speaker 15: open ended. It was not really clear what was going 783 00:39:45,840 --> 00:39:49,080 Speaker 15: to happen. Now three M does have a settlement for 784 00:39:49,239 --> 00:39:52,719 Speaker 15: the public water claims related to PFAS that which is 785 00:39:52,760 --> 00:39:54,480 Speaker 15: working its way through the court, and it also has 786 00:39:54,520 --> 00:39:57,960 Speaker 15: a settlement for the combat arms the ear plugs issue, 787 00:39:57,960 --> 00:39:59,960 Speaker 15: which is also going to work its way through the system. 788 00:40:00,120 --> 00:40:02,839 Speaker 15: So they've made progress in certain terms of clearing out 789 00:40:02,840 --> 00:40:05,279 Speaker 15: some of these legacy issues, but there are still some 790 00:40:05,400 --> 00:40:08,560 Speaker 15: p fast items outstanding that I think will continue to 791 00:40:08,560 --> 00:40:11,879 Speaker 15: make this a tricky stock to own for investors because 792 00:40:11,880 --> 00:40:14,320 Speaker 15: you're not really just betting on industrial markets or costcut. 793 00:40:14,360 --> 00:40:15,719 Speaker 1: That's what I was just going to ask you about, 794 00:40:15,719 --> 00:40:17,600 Speaker 1: because I'm looking at the stock price performance in three 795 00:40:17,680 --> 00:40:19,360 Speaker 1: M is down about twenty five percent year today, but 796 00:40:19,440 --> 00:40:22,799 Speaker 1: GE is up about seventy five percent year to date. 797 00:40:22,880 --> 00:40:24,840 Speaker 1: So when I think of GE, I'm back. I go 798 00:40:24,920 --> 00:40:27,640 Speaker 1: back to the day's when it was everything it was 799 00:40:27,760 --> 00:40:31,520 Speaker 1: GE was the economy, including the financial system. Obviously, they've 800 00:40:31,560 --> 00:40:34,800 Speaker 1: paired it down dramatically over the last ten fifteen years. 801 00:40:35,680 --> 00:40:37,799 Speaker 1: Is Larry Colp to see are they done. Do we 802 00:40:37,880 --> 00:40:41,080 Speaker 1: have the new ge ors. There's still stuff to sell 803 00:40:41,160 --> 00:40:41,720 Speaker 1: or spend offers. 804 00:40:41,880 --> 00:40:44,439 Speaker 15: So their plan is to spin off ge Vernova, which 805 00:40:44,480 --> 00:40:47,280 Speaker 15: will be the energy businesses, so that's their gas turbines, 806 00:40:47,280 --> 00:40:50,839 Speaker 15: but also the renewable energy the wind turbine businesses. They 807 00:40:50,960 --> 00:40:53,120 Speaker 15: said today that that is going to happen in the 808 00:40:53,120 --> 00:40:55,640 Speaker 15: second quarter of twenty twenty four, which is around the 809 00:40:56,040 --> 00:40:58,320 Speaker 15: sort of general timefirme that they've given before, but a 810 00:40:58,400 --> 00:41:02,520 Speaker 15: little bit more specific in detail. And then once that happens, 811 00:41:03,760 --> 00:41:07,799 Speaker 15: you're mostly done as far as the streamlining process. It's 812 00:41:07,800 --> 00:41:11,759 Speaker 15: an aerospace and defense company with some legacy insurance liabilities 813 00:41:11,800 --> 00:41:14,520 Speaker 15: that they likely will want to sort out sooner rather 814 00:41:14,600 --> 00:41:17,239 Speaker 15: than later, just to really clean up the story. And 815 00:41:17,280 --> 00:41:19,640 Speaker 15: then I think the conversation really shifts to do you 816 00:41:19,680 --> 00:41:23,200 Speaker 15: start looking at acquisitions really, which is crazy to think 817 00:41:23,239 --> 00:41:26,120 Speaker 15: about after you know, the dark days of ge and 818 00:41:26,280 --> 00:41:28,040 Speaker 15: cash flow burn and all of that. But the balance 819 00:41:28,080 --> 00:41:29,400 Speaker 15: sheet is in a much better place. 820 00:41:29,200 --> 00:41:31,080 Speaker 1: And I'm just I was just going to point that out. 821 00:41:31,080 --> 00:41:32,640 Speaker 1: You talk about the balance sheet, I'm looking for on 822 00:41:32,680 --> 00:41:34,759 Speaker 1: my FA function and back in twenty nineteen they had 823 00:41:34,800 --> 00:41:36,840 Speaker 1: ninety four billion of debt. That's down to like twenty 824 00:41:36,880 --> 00:41:38,359 Speaker 1: three twenty four billion of debt. 825 00:41:38,400 --> 00:41:40,759 Speaker 15: That's pretty good, right, because they've sold off all these 826 00:41:40,760 --> 00:41:42,800 Speaker 15: businesses and so they've been able to bring in money 827 00:41:42,800 --> 00:41:45,360 Speaker 15: and really ship away at that debt load, and that 828 00:41:45,480 --> 00:41:47,640 Speaker 15: puts the company in position where we can't have these 829 00:41:47,640 --> 00:41:50,800 Speaker 15: conversations about you know, what kinds of acquisitions might make sense. 830 00:41:51,120 --> 00:41:54,360 Speaker 15: You know, GE will be once they've spun off the 831 00:41:54,440 --> 00:41:56,480 Speaker 15: energy business. It will be somewhat unique in that the 832 00:41:56,600 --> 00:42:01,000 Speaker 15: aerospace business will be highly focused on engines. You don't 833 00:42:01,040 --> 00:42:05,600 Speaker 15: really have a comparable raytheon of course produces the GTF 834 00:42:05,600 --> 00:42:07,120 Speaker 15: out of its Pratt and Whitney unit, but they have 835 00:42:07,160 --> 00:42:10,279 Speaker 15: a much more robust defense business. So that raises a 836 00:42:10,360 --> 00:42:12,200 Speaker 15: question of would g you want to get, you know, 837 00:42:12,280 --> 00:42:14,840 Speaker 15: deeper into defense or are there other parts of aerospace 838 00:42:14,880 --> 00:42:17,719 Speaker 15: that might be appealing to the company, whether that's avionics 839 00:42:17,800 --> 00:42:19,640 Speaker 15: or other types of aircraft parts. 840 00:42:19,920 --> 00:42:23,040 Speaker 14: This is all really impressive for Larry Culp, you'd think, right, 841 00:42:23,120 --> 00:42:27,040 Speaker 14: I mean, look at like the story that he's inherited. Obviously, 842 00:42:27,080 --> 00:42:29,040 Speaker 14: like there's been a bit of turnover at the top, 843 00:42:29,080 --> 00:42:31,640 Speaker 14: but he's been really you know, the man of the 844 00:42:31,640 --> 00:42:34,080 Speaker 14: past couple of years here at the top of the 845 00:42:34,120 --> 00:42:36,640 Speaker 14: GE ladder. I mean, what kind of legacies that mean 846 00:42:36,719 --> 00:42:38,520 Speaker 14: for him? And like all that he has done to 847 00:42:38,560 --> 00:42:41,040 Speaker 14: turn this company around. I mean I used to cover 848 00:42:41,120 --> 00:42:43,680 Speaker 14: it back when the bonds were not trading so well. 849 00:42:43,719 --> 00:42:45,200 Speaker 14: I mean, this is like you were saying now, the 850 00:42:45,280 --> 00:42:48,160 Speaker 14: deleveraging story has been incredible, but it's got to be 851 00:42:48,320 --> 00:42:50,000 Speaker 14: like I mean, he's got to be like CEO of 852 00:42:50,000 --> 00:42:50,560 Speaker 14: the century. 853 00:42:51,560 --> 00:42:53,680 Speaker 15: Sure, he's certainly being paid a lot of money to 854 00:42:53,760 --> 00:42:57,600 Speaker 15: do this, but he really has accomplished a lot at GE, 855 00:42:57,640 --> 00:43:01,120 Speaker 15: and it's really been impressive to see. It's been a 856 00:43:01,120 --> 00:43:04,319 Speaker 15: long process with some stops and starts, but to make 857 00:43:04,400 --> 00:43:06,920 Speaker 15: this kind of progress on the debt load particularly gives 858 00:43:06,960 --> 00:43:09,560 Speaker 15: GE a future that really just was not, you know, 859 00:43:09,680 --> 00:43:11,799 Speaker 15: conceivable a few years ago. And I think that's really 860 00:43:11,880 --> 00:43:12,720 Speaker 15: to Larry's credit. 861 00:43:12,840 --> 00:43:14,919 Speaker 1: Yeah, and to even have the discussion, which I can't 862 00:43:14,920 --> 00:43:17,440 Speaker 1: remember the last time we didn't with G about growing. 863 00:43:17,880 --> 00:43:19,960 Speaker 1: I mean it's been almost twenty years. I mean, I 864 00:43:20,000 --> 00:43:24,799 Speaker 1: think since Jack Welch left it's been at a The 865 00:43:24,840 --> 00:43:26,000 Speaker 1: conversation has been. 866 00:43:25,960 --> 00:43:28,759 Speaker 15: Folks, and well, they did some acquisitions in the in 867 00:43:28,800 --> 00:43:31,279 Speaker 15: the era that didn't work out so much kind of 868 00:43:31,719 --> 00:43:32,960 Speaker 15: but yes, correct. 869 00:43:32,719 --> 00:43:34,600 Speaker 1: All right, brook thanks so much for joining us. Brooks Souther. 870 00:43:34,719 --> 00:43:37,040 Speaker 1: Then she's a columnist for Bloomberg Opinion, covering all the 871 00:43:37,080 --> 00:43:40,320 Speaker 1: industrial America, some great companies, some great industries. She covers 872 00:43:40,360 --> 00:43:41,960 Speaker 1: the deal. She kind of does it. Also, we appreciate 873 00:43:41,960 --> 00:43:43,960 Speaker 1: getting a few minutes of Brooks time here in our 874 00:43:43,960 --> 00:43:45,520 Speaker 1: Bloomberg Interactive Broker Studio. 875 00:43:45,760 --> 00:43:48,880 Speaker 7: You're listening to the tape Cat's are live program Bloomberg 876 00:43:48,960 --> 00:43:52,520 Speaker 7: Markets weekdays at ten am Eastern on Bloomberg Radio, the 877 00:43:52,600 --> 00:43:55,799 Speaker 7: tune in app, Bloomberg dot Com, and the Bloomberg Business App. 878 00:43:55,840 --> 00:43:58,680 Speaker 7: You can also listen live on Amazon Alexa from our 879 00:43:58,680 --> 00:44:03,720 Speaker 7: flagship New York station. Just say Alexa, play Bloomberg eleven thirty. 880 00:44:04,680 --> 00:44:07,799 Speaker 1: Right now, people want to talk big, big media. We're 881 00:44:07,880 --> 00:44:10,040 Speaker 1: talking music, can talk Hollywood and all that kind of stuff. 882 00:44:10,040 --> 00:44:11,960 Speaker 1: There's lots to talk about, and we go to our 883 00:44:12,000 --> 00:44:15,000 Speaker 1: go to analyst, Keitha Ranganathan. She is the media analyst 884 00:44:15,040 --> 00:44:19,480 Speaker 1: for Bloomberg Intelligence, joining us via zoom from the headquarters 885 00:44:19,520 --> 00:44:22,760 Speaker 1: of BIATDN in Princeton, New Jersey. Keitha, let's start with Spotify. 886 00:44:22,880 --> 00:44:25,319 Speaker 1: Good story, some good numbers. Tell us what we got 887 00:44:25,320 --> 00:44:26,600 Speaker 1: from our friends at Spotify. 888 00:44:27,320 --> 00:44:30,759 Speaker 10: Yeah, excellent story. Paul at Spotify when they reported their 889 00:44:30,800 --> 00:44:33,880 Speaker 10: three Q today, so they beat on almost every metric 890 00:44:33,920 --> 00:44:36,960 Speaker 10: that we were looking at. User numbers came in really strong, 891 00:44:37,080 --> 00:44:41,000 Speaker 10: premium subscriber momentum will continue into four Q. They said 892 00:44:41,040 --> 00:44:43,480 Speaker 10: that they expect their monthly active users to reach the 893 00:44:43,560 --> 00:44:46,040 Speaker 10: six hundred million mark by the end of this year. 894 00:44:46,280 --> 00:44:49,319 Speaker 10: They're targeting about a billion in the next three to 895 00:44:49,320 --> 00:44:52,040 Speaker 10: four years time. But I think most important for this 896 00:44:52,160 --> 00:44:55,680 Speaker 10: story was really the inflection in the profitability metric. I mean, 897 00:44:55,719 --> 00:44:58,560 Speaker 10: this is this is a streaming company that has plenty 898 00:44:58,600 --> 00:45:01,359 Speaker 10: of subscribers. Before, for some reason, they haven't been really 899 00:45:01,400 --> 00:45:05,160 Speaker 10: able to generate profits and that really kind of goes 900 00:45:05,200 --> 00:45:07,600 Speaker 10: to their business model. But for the first time in 901 00:45:07,640 --> 00:45:11,959 Speaker 10: two years, they actually generated a nice surprise profit, which 902 00:45:11,960 --> 00:45:13,520 Speaker 10: is I think what is really driving most of that 903 00:45:13,560 --> 00:45:14,920 Speaker 10: stock reaction today and. 904 00:45:14,920 --> 00:45:19,360 Speaker 14: Tell us, Githa, is that profitability because Spotify was raising 905 00:45:19,440 --> 00:45:22,880 Speaker 14: prices in the period or like more to the strength 906 00:45:22,920 --> 00:45:24,560 Speaker 14: of the business that you're talking about. 907 00:45:25,600 --> 00:45:28,319 Speaker 10: That's a great point. Yes, they did raise prices, and 908 00:45:28,360 --> 00:45:30,520 Speaker 10: I think what it tells us in terms of their 909 00:45:31,640 --> 00:45:35,080 Speaker 10: you know, not just their the operating income number, but 910 00:45:35,200 --> 00:45:37,239 Speaker 10: the fact that they were able to gain subscribers even 911 00:45:37,239 --> 00:45:38,960 Speaker 10: as they increased prices, it just tells us that they 912 00:45:38,960 --> 00:45:41,120 Speaker 10: have a lot of pricing power. There's obviously a lot 913 00:45:41,120 --> 00:45:43,640 Speaker 10: of stickiness for the product. But in terms of the 914 00:45:43,680 --> 00:45:47,200 Speaker 10: margin story itself, they have really been looking at cost 915 00:45:47,280 --> 00:45:50,560 Speaker 10: discipline very very carefully, and so they have been able 916 00:45:50,600 --> 00:45:53,160 Speaker 10: to finally cut down on their marketing spend. They've been 917 00:45:53,160 --> 00:45:55,680 Speaker 10: able to cut down on personnel costs, which is what 918 00:45:55,800 --> 00:46:00,000 Speaker 10: drove that operating profit as well as a slight mode 919 00:46:00,040 --> 00:46:00,960 Speaker 10: margin expansion. 920 00:46:01,760 --> 00:46:05,799 Speaker 1: All right, Githa, you cover everything. We can go many 921 00:46:05,800 --> 00:46:07,680 Speaker 1: different directions. Right now, we're going to switch gears and 922 00:46:07,719 --> 00:46:11,360 Speaker 1: go to Hollywood. The actors. What's going on? They're still 923 00:46:11,360 --> 00:46:12,920 Speaker 1: on strike, don't they know? They don't live in the 924 00:46:13,000 --> 00:46:15,359 Speaker 1: real world. What's going on with the actors? 925 00:46:15,840 --> 00:46:18,040 Speaker 10: Yeah, I mean, you know, a few days ago, actually 926 00:46:18,080 --> 00:46:20,200 Speaker 10: maybe a couple of weeks ago, you know that they 927 00:46:20,239 --> 00:46:21,759 Speaker 10: you know, they had been talking to the studios, but 928 00:46:21,800 --> 00:46:24,759 Speaker 10: then everything kind of hit a stalemate again when they 929 00:46:24,760 --> 00:46:28,520 Speaker 10: basically said that they wanted a viewership bonus. I think 930 00:46:28,560 --> 00:46:30,920 Speaker 10: they said the industry basically said it would cost them 931 00:46:30,960 --> 00:46:32,880 Speaker 10: something like about a billion dollars and I think that 932 00:46:33,000 --> 00:46:35,719 Speaker 10: was kind of a no go. We had, you know, 933 00:46:35,719 --> 00:46:37,480 Speaker 10: the Netflix CEO kind of talk about it at the 934 00:46:37,480 --> 00:46:40,560 Speaker 10: Bloomberg screen Time conference, and that's where kind of things 935 00:46:40,719 --> 00:46:44,200 Speaker 10: have have been left out so that it's supposed to restart, 936 00:46:44,280 --> 00:46:46,200 Speaker 10: I think today, but we'll see where it goes. In 937 00:46:46,239 --> 00:46:50,520 Speaker 10: the meantime, studios are really kind of facing a difficult situation. 938 00:46:50,560 --> 00:46:52,520 Speaker 10: There's a lot of uncertainty in terms of the twenty 939 00:46:52,560 --> 00:46:54,960 Speaker 10: twenty four content slate. We just saw that Paramount pushed 940 00:46:55,000 --> 00:46:58,520 Speaker 10: out Mission Impossible eight by a whole year now to 941 00:46:58,600 --> 00:47:01,319 Speaker 10: twenty twenty five. You know, we know Disney pushed out 942 00:47:01,320 --> 00:47:04,400 Speaker 10: Dead Poultry. So yeah, the film slate, especially for twenty 943 00:47:04,440 --> 00:47:06,800 Speaker 10: twenty four looks really really shaky. 944 00:47:06,840 --> 00:47:07,080 Speaker 13: Paul. 945 00:47:07,520 --> 00:47:11,560 Speaker 14: Can you tell us either what the studios and the 946 00:47:11,600 --> 00:47:15,719 Speaker 14: actors want that is maybe if it's different, or how 947 00:47:15,719 --> 00:47:19,560 Speaker 14: does it compare to the writer's strike that has already resolved. 948 00:47:20,680 --> 00:47:22,640 Speaker 10: Yeah, so, you know, with the writer's strike, of course, 949 00:47:22,680 --> 00:47:24,719 Speaker 10: a lot of it was in terms of remuneration. A 950 00:47:24,719 --> 00:47:27,080 Speaker 10: lot of it was in terms of transparency in terms 951 00:47:27,080 --> 00:47:30,360 Speaker 10: of viewership metrics, and I think the studios have promised 952 00:47:30,400 --> 00:47:33,239 Speaker 10: to do better both in terms of paying them as 953 00:47:33,239 --> 00:47:36,000 Speaker 10: far as residuals are concerned, as far as releasing you know, 954 00:47:36,040 --> 00:47:38,040 Speaker 10: some of the viewership numbers, as well as some more 955 00:47:38,080 --> 00:47:41,960 Speaker 10: guardrails around kind of the use of AI. I think 956 00:47:42,000 --> 00:47:43,799 Speaker 10: what the with the actors, it's a little bit of 957 00:47:43,840 --> 00:47:46,239 Speaker 10: a different situation though. First of all, there are four 958 00:47:46,239 --> 00:47:48,480 Speaker 10: times the number of actors that there are writers, and 959 00:47:48,520 --> 00:47:52,000 Speaker 10: so the whole calculus kind of changes from an economics perspective, 960 00:47:52,440 --> 00:47:55,080 Speaker 10: and it's going to be pretty onerous for the studios 961 00:47:55,080 --> 00:47:57,600 Speaker 10: to kind of accept all of the actors' conditions. And 962 00:47:58,239 --> 00:48:01,319 Speaker 10: so that's where I think there is you know, a 963 00:48:01,360 --> 00:48:04,279 Speaker 10: lot of you know, the differences of opinion kind of 964 00:48:04,320 --> 00:48:06,480 Speaker 10: creeping up on top of that. I think the actors 965 00:48:06,520 --> 00:48:10,200 Speaker 10: are getting I don't know if greedy is the right 966 00:48:10,239 --> 00:48:12,719 Speaker 10: word to use, but they definitely want a lot more 967 00:48:12,840 --> 00:48:16,560 Speaker 10: so for shows that are being viewed, probably more often 968 00:48:16,600 --> 00:48:19,600 Speaker 10: they want, you know, what the studios are calling this 969 00:48:19,719 --> 00:48:22,520 Speaker 10: viewership bonus kind of a payment is almost like a 970 00:48:22,520 --> 00:48:24,839 Speaker 10: little bit of a tax. That's how you know, death 971 00:48:24,880 --> 00:48:28,040 Speaker 10: Serrando's kind of called it. So they're not happy with that. 972 00:48:28,160 --> 00:48:30,120 Speaker 10: So we'll have to see, I mean, somebody has to 973 00:48:30,400 --> 00:48:32,600 Speaker 10: cave there has to be some compromise. 974 00:48:32,719 --> 00:48:37,160 Speaker 1: All right, pivot yet again, Disney they're looking to kind 975 00:48:37,200 --> 00:48:40,080 Speaker 1: of I don't know restructures are right word, but certainly 976 00:48:40,080 --> 00:48:42,160 Speaker 1: looking at all their assets. And one of the big 977 00:48:42,200 --> 00:48:46,799 Speaker 1: assets is their satellite business in India, which I think 978 00:48:46,840 --> 00:48:49,480 Speaker 1: they got from the Fox acquisition. I'm not sure talk 979 00:48:49,520 --> 00:48:51,000 Speaker 1: to us about what's going on there that there's a 980 00:48:51,040 --> 00:48:53,200 Speaker 1: story that they may be looking to sell some or 981 00:48:53,200 --> 00:48:53,640 Speaker 1: all of it. 982 00:48:54,560 --> 00:48:56,520 Speaker 10: You know, you're absolutely right. So when they paid the 983 00:48:56,560 --> 00:48:58,640 Speaker 10: seventy one billion dollars for a huge chunk of the 984 00:48:58,680 --> 00:49:01,120 Speaker 10: Fox assets, a big part of that actually Star India 985 00:49:01,760 --> 00:49:04,200 Speaker 10: and Star India is really a collection of plenty of 986 00:49:04,280 --> 00:49:08,080 Speaker 10: local TV networks, about sixty TV channels and a very 987 00:49:08,200 --> 00:49:11,239 Speaker 10: very robust streaming service which was called hot Star. And 988 00:49:11,320 --> 00:49:13,480 Speaker 10: this was really one of the crown jewels that Disney 989 00:49:13,520 --> 00:49:16,120 Speaker 10: thought they got when they kind of acquired when they 990 00:49:16,120 --> 00:49:19,520 Speaker 10: made that acquisition, because Hotstar really had a lot of 991 00:49:19,719 --> 00:49:23,200 Speaker 10: users on its streaming platform, over about one hundred hundred 992 00:49:23,200 --> 00:49:25,319 Speaker 10: and fifty million, and so it kind of really helped 993 00:49:25,360 --> 00:49:27,960 Speaker 10: them juice that Disney plus subscriber number because they were 994 00:49:27,960 --> 00:49:31,400 Speaker 10: selling it as Disney plus Hotstar. And so when subscriber 995 00:49:31,560 --> 00:49:33,799 Speaker 10: numbers were the main metric of success. I mean, this 996 00:49:33,960 --> 00:49:36,600 Speaker 10: was this was the huge story for them. Of course, 997 00:49:36,640 --> 00:49:40,000 Speaker 10: all of that changed because the main problem with hot 998 00:49:40,000 --> 00:49:43,640 Speaker 10: Star was, yes, subscriber growth was good, but the revenue 999 00:49:43,640 --> 00:49:47,479 Speaker 10: that a hot Star user brought in was very, very 1000 00:49:47,520 --> 00:49:49,919 Speaker 10: low compared to a US subscriber, but only about one 1001 00:49:50,000 --> 00:49:52,640 Speaker 10: tenth the revenue that a US Disney Plus subscriber would 1002 00:49:52,640 --> 00:49:54,800 Speaker 10: bring in, so it obviously was kind of really hurting 1003 00:49:54,880 --> 00:49:58,200 Speaker 10: the bottom line. There was this additional issue with you know, 1004 00:49:58,320 --> 00:50:01,680 Speaker 10: sports rights and you know, the rights of cricket, which 1005 00:50:01,719 --> 00:50:04,720 Speaker 10: is really important in a country like India, but Disney 1006 00:50:04,719 --> 00:50:07,000 Speaker 10: didn't want to pay up and so they started losing 1007 00:50:07,080 --> 00:50:10,759 Speaker 10: subscribers and eventually Disney kind of came to a point 1008 00:50:10,760 --> 00:50:12,840 Speaker 10: where they decided that the best thing to do in 1009 00:50:12,920 --> 00:50:16,200 Speaker 10: terms of, you know, the business and the overall strategy 1010 00:50:16,200 --> 00:50:18,960 Speaker 10: would be to kind of get rid of the whole 1011 00:50:19,000 --> 00:50:21,480 Speaker 10: Star India operation. And so right now they're looking to 1012 00:50:21,520 --> 00:50:25,760 Speaker 10: talk with one of the biggest telecom operators in India, 1013 00:50:25,800 --> 00:50:29,799 Speaker 10: which is Reliance. I think the sticking point right now 1014 00:50:29,840 --> 00:50:32,600 Speaker 10: is really the price. It ranges anywhere from about seven 1015 00:50:32,640 --> 00:50:34,680 Speaker 10: billion to ten billion. I think Disney wants ten billion, 1016 00:50:34,800 --> 00:50:37,240 Speaker 10: Reliance probably wants to pay closer to seven to eight billion, 1017 00:50:37,480 --> 00:50:39,920 Speaker 10: so they're looking to probably not sell the whole thing 1018 00:50:39,960 --> 00:50:42,880 Speaker 10: to still kind of keep some kind of steak. But 1019 00:50:42,960 --> 00:50:46,879 Speaker 10: definitely any progress there and any influx of cash would 1020 00:50:46,880 --> 00:50:48,879 Speaker 10: I think be great for Disney, which has a lot 1021 00:50:48,920 --> 00:50:51,840 Speaker 10: more strategic kind of decisions to make, especially with the 1022 00:50:51,880 --> 00:50:54,600 Speaker 10: purchase of Hulu. They still have to buy out Comcast 1023 00:50:54,719 --> 00:50:57,080 Speaker 10: thirty three percent stake, so that's hanging in the balance 1024 00:50:57,120 --> 00:50:59,239 Speaker 10: along with all the other things in terms of their 1025 00:50:59,239 --> 00:51:01,040 Speaker 10: linear TV network as well as ESPN. 1026 00:51:01,239 --> 00:51:03,359 Speaker 1: All Right, Gith, I think we kind of got through 1027 00:51:03,400 --> 00:51:06,320 Speaker 1: everything in which we can do with you. Keith Ranganathan. 1028 00:51:06,360 --> 00:51:09,840 Speaker 1: She is the media analyst for Bloomberg Intelligence breaking it 1029 00:51:09,880 --> 00:51:13,239 Speaker 1: all down. We've got Spotify, good numbers, Hollywood actors in 1030 00:51:13,280 --> 00:51:16,560 Speaker 1: the studios, still at an impasse and dizzy thinking about 1031 00:51:16,600 --> 00:51:17,520 Speaker 1: what to do with her assets. 1032 00:51:17,520 --> 00:51:21,440 Speaker 2: And thanks for listening to the Bloomberg Markets podcasts. You 1033 00:51:21,440 --> 00:51:24,799 Speaker 2: can subscribe and listen to interviews at Apple Podcasts or 1034 00:51:25,040 --> 00:51:28,759 Speaker 2: whatever podcast platform you prefer. I'm Matt Miller. I'm on 1035 00:51:28,800 --> 00:51:31,600 Speaker 2: Twitter at Matt Miller nineteen seventy three. 1036 00:51:31,800 --> 00:51:34,240 Speaker 1: And I'm fall Sweeney I'm on Twitter at pt Sweeney 1037 00:51:34,280 --> 00:51:36,960 Speaker 1: Before the podcast. You can always catch us worldwide at 1038 00:51:37,000 --> 00:51:38,719 Speaker 1: Bloomberg Radio