1 00:00:02,720 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:18,560 Speaker 1: Eastern on Applecarclay and Android Auto with the Bloomberg Business App. 4 00:00:18,640 --> 00:00:21,920 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,960 --> 00:00:23,480 Speaker 1: us live on YouTube. 6 00:00:24,200 --> 00:00:27,040 Speaker 2: Speaking of technology, piece of news out, I thought it 7 00:00:27,080 --> 00:00:30,240 Speaker 2: was really interesting Scarlett Microsoft saying, hey, we're not gonna 8 00:00:30,240 --> 00:00:34,800 Speaker 2: have as much I guess data center capacity as we thought. 9 00:00:34,840 --> 00:00:36,000 Speaker 2: We're not going to have as much as we need 10 00:00:36,040 --> 00:00:39,400 Speaker 2: until maybe sometime next year. It's just another data point that, 11 00:00:39,760 --> 00:00:41,800 Speaker 2: as Jay was just pointing out, there's lots of ways 12 00:00:41,800 --> 00:00:45,600 Speaker 2: to play AI. Money's being spent all throughout the economy, 13 00:00:45,640 --> 00:00:46,880 Speaker 2: not just the tech stack. 14 00:00:47,200 --> 00:00:48,840 Speaker 3: But there's still logjams nonetheless. 15 00:00:48,920 --> 00:00:51,159 Speaker 2: Yeah, still logjams nonetheless. So let's see what's going on 16 00:00:51,200 --> 00:00:54,120 Speaker 2: with our good friends at Microsoft. On rog Rana joins 17 00:00:54,120 --> 00:00:58,920 Speaker 2: this technology analyst for Bloomberg Intelligence. Again, what do you 18 00:00:58,920 --> 00:01:01,760 Speaker 2: make of this Microsoft news anorog that they say, you know, 19 00:01:02,120 --> 00:01:05,160 Speaker 2: data center crunch is going to persist into twenty twenty six. 20 00:01:06,640 --> 00:01:09,120 Speaker 4: Yeah, you know, Microsoft talked about a little bit of 21 00:01:09,280 --> 00:01:12,080 Speaker 4: this in the earning scoll about let's say twelve months 22 00:01:12,080 --> 00:01:14,360 Speaker 4: ago and then they said things are easy or things 23 00:01:14,440 --> 00:01:16,759 Speaker 4: are improving, and it does have an impact on their 24 00:01:16,760 --> 00:01:20,360 Speaker 4: cloud business growth rate when things are night Now this news, 25 00:01:20,400 --> 00:01:22,920 Speaker 4: I think it was an excellent article written by Bloomberg News, 26 00:01:22,920 --> 00:01:25,160 Speaker 4: and you know, it gives us a lot of things 27 00:01:25,160 --> 00:01:27,080 Speaker 4: to think about as to what's going to happen over 28 00:01:27,120 --> 00:01:29,760 Speaker 4: the next twelve to eighteen months. We think capex could 29 00:01:29,800 --> 00:01:32,840 Speaker 4: go up, we think cloud realization of the rates could 30 00:01:32,880 --> 00:01:35,759 Speaker 4: go down. And you know, the AI boom is going 31 00:01:35,800 --> 00:01:38,560 Speaker 4: to continue, or the AI infrastructure boom is going to continue, 32 00:01:38,680 --> 00:01:41,640 Speaker 4: because if Microsoft needs more capacity, it's going to go 33 00:01:41,680 --> 00:01:44,880 Speaker 4: to people like Corevive, Nevia's Oracle, They're going to go 34 00:01:44,959 --> 00:01:47,600 Speaker 4: to their you know, companies that they work with to 35 00:01:47,640 --> 00:01:50,240 Speaker 4: create the data centers. And then you know the downstream 36 00:01:50,480 --> 00:01:54,480 Speaker 4: effect of that. So positive news for the AI infrastructure space, 37 00:01:54,760 --> 00:01:57,480 Speaker 4: but maybe has an impact on Microsoft's cloud growth rate. 38 00:01:58,240 --> 00:02:01,200 Speaker 3: Does it have an impact on Microsoft's well and how 39 00:02:01,240 --> 00:02:04,360 Speaker 3: will that show up in the earnings when the company reports. 40 00:02:05,240 --> 00:02:07,440 Speaker 4: Yeah, I think it can have an impact on their 41 00:02:07,520 --> 00:02:11,120 Speaker 4: gross margins. You may see it take down. They they 42 00:02:11,120 --> 00:02:13,800 Speaker 4: have said that, you know that their next financial years, 43 00:02:13,840 --> 00:02:16,520 Speaker 4: the next fiscal year they're going to spend more on 44 00:02:16,600 --> 00:02:19,160 Speaker 4: capex than last year, but the rate of growth is 45 00:02:19,200 --> 00:02:21,440 Speaker 4: going to go down. Now they haven't given any figure, 46 00:02:21,480 --> 00:02:23,760 Speaker 4: so you can drive a big truck in that particular 47 00:02:23,880 --> 00:02:26,960 Speaker 4: range because they are giving themselves the flexibility to say that. 48 00:02:27,360 --> 00:02:29,880 Speaker 4: One could argue that the year after that now they're 49 00:02:29,960 --> 00:02:31,960 Speaker 4: you know, maybe they're going to spend even more. So 50 00:02:32,040 --> 00:02:34,840 Speaker 4: that really, you know, has an impact on the entire cycle. 51 00:02:34,919 --> 00:02:37,640 Speaker 4: So that means Oracle has to spend more, That means 52 00:02:37,639 --> 00:02:40,000 Speaker 4: Meta has to spend more, Amazon has to spend more, 53 00:02:40,480 --> 00:02:43,840 Speaker 4: and that that you know, continues this big boom of 54 00:02:44,320 --> 00:02:47,440 Speaker 4: all the downstream companies. We have anything from chips to 55 00:02:48,040 --> 00:02:50,520 Speaker 4: you know, data center cooling and water, et cetera. 56 00:02:52,360 --> 00:02:55,120 Speaker 2: What inning on do you think we are in this 57 00:02:55,320 --> 00:02:58,040 Speaker 2: AI tech build out? 58 00:02:59,480 --> 00:03:02,360 Speaker 4: I think we're in a fairly early innings because unlike 59 00:03:02,440 --> 00:03:05,920 Speaker 4: software coding or you could say, you know, the buildout 60 00:03:05,960 --> 00:03:08,480 Speaker 4: of a new e commerce website, this one's going to 61 00:03:08,520 --> 00:03:12,040 Speaker 4: take some time because every data center takes a long 62 00:03:12,120 --> 00:03:15,880 Speaker 4: time to come up. I mean from breaking ground, getting permits, 63 00:03:15,880 --> 00:03:18,920 Speaker 4: to getting power to actually building it and putting it together. 64 00:03:19,320 --> 00:03:21,440 Speaker 4: I mean, it takes a few years for that to 65 00:03:21,480 --> 00:03:24,640 Speaker 4: build out. So I do not see any reason why 66 00:03:24,680 --> 00:03:26,720 Speaker 4: in five to seven years we'll still not be talking 67 00:03:26,720 --> 00:03:27,760 Speaker 4: about this topic. 68 00:03:28,960 --> 00:03:30,840 Speaker 3: You know, when we come back to this data center 69 00:03:30,919 --> 00:03:33,760 Speaker 3: crunch for Microsoft, is this a zero sum game where 70 00:03:33,880 --> 00:03:36,960 Speaker 3: it's Microsoft's loss for now in the short term as 71 00:03:36,960 --> 00:03:40,040 Speaker 3: it builds these things out, and it's competitors gain. And 72 00:03:40,080 --> 00:03:42,800 Speaker 3: if so, what are the names that are likely to 73 00:03:42,840 --> 00:03:45,440 Speaker 3: be most able to benefit. 74 00:03:46,720 --> 00:03:48,880 Speaker 4: No, I don't think it's anybody's gain in this point. 75 00:03:48,960 --> 00:03:51,240 Speaker 4: So the crunch that they are having, I bet the 76 00:03:51,280 --> 00:03:53,760 Speaker 4: same thing is happening with Google, same thing is happening 77 00:03:53,760 --> 00:03:56,680 Speaker 4: with Meta and Amazon. They are all going out to 78 00:03:56,760 --> 00:04:00,000 Speaker 4: these third party neocloud providers to see wherever they can 79 00:04:00,040 --> 00:04:02,680 Speaker 4: find capacity, and at the end of the day, whoever 80 00:04:02,920 --> 00:04:05,560 Speaker 4: has any capacity left, you know they will find a 81 00:04:05,560 --> 00:04:08,800 Speaker 4: customer from one of these large vendors. Because what not 82 00:04:08,920 --> 00:04:11,320 Speaker 4: only what they're doing is selling products to the third 83 00:04:11,320 --> 00:04:15,400 Speaker 4: parties outside their internal processes, they are actually improving it 84 00:04:15,440 --> 00:04:18,240 Speaker 4: as well. Somebody like a Meta, They really are improving 85 00:04:18,279 --> 00:04:22,120 Speaker 4: their ads to add business because of AI, and they 86 00:04:22,279 --> 00:04:24,240 Speaker 4: need more capacity because of that as well. 87 00:04:25,720 --> 00:04:29,080 Speaker 2: Earnings will be kicking off the season next week for 88 00:04:29,120 --> 00:04:31,040 Speaker 2: the banks, and then we'll get the tech companies a 89 00:04:31,040 --> 00:04:33,560 Speaker 2: little bit later. What are you going to be listening 90 00:04:33,600 --> 00:04:36,679 Speaker 2: for anaag during this earning cycle for your tech names. 91 00:04:37,880 --> 00:04:40,560 Speaker 4: It's a big tale of two cities. One side, we're 92 00:04:40,600 --> 00:04:44,880 Speaker 4: going to see actual drop in discretionary spending, so any 93 00:04:44,880 --> 00:04:47,240 Speaker 4: of the consulting names that they're not going to have 94 00:04:47,279 --> 00:04:50,279 Speaker 4: a good time. Any of the traditional software names, even 95 00:04:50,320 --> 00:04:52,760 Speaker 4: SaaS names, they're not going to have a good time 96 00:04:52,800 --> 00:04:55,800 Speaker 4: because subscription growth is going to slow down. But on 97 00:04:55,839 --> 00:04:58,000 Speaker 4: the other side, you know, somebody like a code Weave 98 00:04:58,120 --> 00:05:01,440 Speaker 4: or an Oracle or a Microsoft, they will talk about 99 00:05:01,560 --> 00:05:04,520 Speaker 4: more bookings. Oracle is not going to report in this 100 00:05:04,560 --> 00:05:07,440 Speaker 4: particular running season, but a month after that, I think 101 00:05:07,480 --> 00:05:10,680 Speaker 4: they will all see a good increase in the backlog 102 00:05:10,760 --> 00:05:13,520 Speaker 4: or the order book. But the rest of the space, 103 00:05:13,560 --> 00:05:14,600 Speaker 4: I think is going to struggle. 104 00:05:15,279 --> 00:05:18,200 Speaker 3: Once upon a time, a lot of the companies benefited 105 00:05:18,200 --> 00:05:21,400 Speaker 3: from the end of the year rush to use up 106 00:05:21,440 --> 00:05:24,800 Speaker 3: the IT budget. You know, every company had a certain 107 00:05:24,839 --> 00:05:27,520 Speaker 3: amount of money allotted to spending on IT, and a 108 00:05:27,560 --> 00:05:29,560 Speaker 3: lot of times companies didn't get around using it until 109 00:05:29,560 --> 00:05:30,880 Speaker 3: the fourth quarter, and then they would do so in 110 00:05:30,880 --> 00:05:33,360 Speaker 3: a big rush. Do you see that happening this time around? 111 00:05:34,520 --> 00:05:36,760 Speaker 4: Yes, it would happen, but only happen on the AI 112 00:05:36,880 --> 00:05:40,760 Speaker 4: side of things, the non A side of the tech spending. 113 00:05:41,040 --> 00:05:43,560 Speaker 4: I think that's still going to struggle. We may not 114 00:05:43,680 --> 00:05:48,040 Speaker 4: have a resolution of that till the global macro environment improves. 115 00:05:48,080 --> 00:05:51,080 Speaker 4: Still we have a resolution between US China trade war 116 00:05:51,400 --> 00:05:54,040 Speaker 4: till we know what's happening to interest rate. I think 117 00:05:54,200 --> 00:05:55,960 Speaker 4: that part of the equation is going to struggle. 118 00:05:57,520 --> 00:06:00,599 Speaker 5: Stay with us. More from Bloomberg Intelligence coming up after this. 119 00:06:04,240 --> 00:06:07,960 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 120 00:06:08,040 --> 00:06:11,120 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 121 00:06:11,160 --> 00:06:14,440 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 122 00:06:14,520 --> 00:06:17,600 Speaker 1: you get your podcasts, or watch us live on YouTube. 123 00:06:18,440 --> 00:06:20,800 Speaker 3: All right, let's turn now to a sector that, of 124 00:06:20,839 --> 00:06:23,359 Speaker 3: course is affected by tariffs directly, and that is the 125 00:06:23,400 --> 00:06:26,719 Speaker 3: auto sector. Steve Man is Bloomberg Intelligence Global Autos and 126 00:06:26,760 --> 00:06:29,240 Speaker 3: Industrials research analysts, and he joins us down to talk 127 00:06:29,279 --> 00:06:31,640 Speaker 3: about Stilantis Silantis. 128 00:06:32,200 --> 00:06:36,119 Speaker 5: It's Chrysler, right, Paul, Jeep, Chrysler, all those good perds. 129 00:06:36,120 --> 00:06:37,440 Speaker 4: Okay, I'll just get to us. 130 00:06:37,440 --> 00:06:39,760 Speaker 3: Because I see Stilantis, I'm like, what company is this? 131 00:06:39,800 --> 00:06:40,360 Speaker 4: I don't get it. 132 00:06:40,600 --> 00:06:43,440 Speaker 3: In any case, it's third quarter shipment's climb to thirteen percent, 133 00:06:43,520 --> 00:06:45,520 Speaker 3: led by rise in North America, so there is a 134 00:06:45,520 --> 00:06:48,480 Speaker 3: bit of a recovery here after the carmaker has been 135 00:06:48,520 --> 00:06:50,599 Speaker 3: working down inventory in the US. 136 00:06:51,440 --> 00:06:52,839 Speaker 5: Steve, thanks for joining us. 137 00:06:52,960 --> 00:06:56,080 Speaker 3: Let's talk a little bit about Stilantis and how sensitive 138 00:06:56,279 --> 00:06:58,920 Speaker 3: vulnerable it is to President Trump's tariffs. 139 00:07:00,120 --> 00:07:00,320 Speaker 5: Yeah. 140 00:07:00,360 --> 00:07:04,719 Speaker 6: I think they are very sensitive to tariffs. But I 141 00:07:04,720 --> 00:07:07,800 Speaker 6: think a lot of the impact on companies like Stillentis 142 00:07:07,800 --> 00:07:13,440 Speaker 6: and the Detroit Trio is really their operations in Mexico 143 00:07:13,520 --> 00:07:16,920 Speaker 6: and Canada. I think Trump is looking for them to 144 00:07:17,160 --> 00:07:20,640 Speaker 6: actually move some of those production back into the US 145 00:07:21,080 --> 00:07:26,120 Speaker 6: and employing more US workers. So, I mean, there's been 146 00:07:26,160 --> 00:07:28,080 Speaker 6: a lot of rhetoric and a lot of you know, 147 00:07:28,120 --> 00:07:34,680 Speaker 6: potential changes. Changes are impending, but I think for now, 148 00:07:35,160 --> 00:07:38,040 Speaker 6: auto tariffs has been pretty quiet, and I don't think 149 00:07:38,720 --> 00:07:42,160 Speaker 6: you know, the Trump you know, the tweets are going 150 00:07:42,200 --> 00:07:44,000 Speaker 6: to impact the Detroit three. 151 00:07:44,680 --> 00:07:49,400 Speaker 2: So where are we in terms of implementing tariffs on 152 00:07:49,760 --> 00:07:52,840 Speaker 2: Auto's just incoming and outcoming in the US. 153 00:07:52,840 --> 00:07:55,040 Speaker 5: We're already actually being loving at the moment. 154 00:07:55,840 --> 00:07:58,920 Speaker 6: Yeah, it's it's happening at the moment. We've heard a 155 00:07:58,920 --> 00:08:01,880 Speaker 6: lot of news on and you know companies moving production 156 00:08:02,040 --> 00:08:05,840 Speaker 6: back to the US. GM have moved some of their 157 00:08:05,880 --> 00:08:11,360 Speaker 6: Silverado production, one of the highest profit vehicles, you know, 158 00:08:11,440 --> 00:08:15,559 Speaker 6: from from Canada back to the US. So we're hearing 159 00:08:15,600 --> 00:08:19,920 Speaker 6: that from four and some other automakers. You know, Hyundai 160 00:08:19,960 --> 00:08:22,880 Speaker 6: is investing a lot in the US, you know, likely 161 00:08:22,960 --> 00:08:25,800 Speaker 6: to move some of the production from South Korea into 162 00:08:25,840 --> 00:08:29,280 Speaker 6: the US. So we are already starting to hear and 163 00:08:29,360 --> 00:08:33,239 Speaker 6: see the effects of those auto tariffs. 164 00:08:33,520 --> 00:08:36,560 Speaker 3: See, this might be an unanswerable question, but with companies 165 00:08:37,080 --> 00:08:38,960 Speaker 3: making the moves to do that, this will take a 166 00:08:39,000 --> 00:08:41,400 Speaker 3: long time. This is a multi year process, right. You 167 00:08:41,440 --> 00:08:43,800 Speaker 3: don't just decide that you're going to reshore manufacturing. It 168 00:08:43,840 --> 00:08:46,600 Speaker 3: happens the next day. Is just saying that you're going 169 00:08:46,640 --> 00:08:49,439 Speaker 3: to do that enough to appease the administration? 170 00:08:50,720 --> 00:08:52,880 Speaker 6: Well, it's it's I look at it as a two 171 00:08:52,920 --> 00:08:56,719 Speaker 6: phase process. There's what I call low hanging fruits. So 172 00:08:57,080 --> 00:09:00,320 Speaker 6: you know, for example, I gave earlier on the really 173 00:09:00,360 --> 00:09:04,080 Speaker 6: Silverado that GYM shifted to back to the US. You know, 174 00:09:04,160 --> 00:09:08,840 Speaker 6: if they have spare capacity, uh in the US, that's 175 00:09:08,880 --> 00:09:11,199 Speaker 6: that's a no brainer. They can shift that back quickly. 176 00:09:11,480 --> 00:09:15,640 Speaker 6: But you're absolutely right. You know, longer term, it's going 177 00:09:15,720 --> 00:09:19,760 Speaker 6: to take years to kind of unravel, uh, the the 178 00:09:19,760 --> 00:09:23,000 Speaker 6: North American supply chain chain to focus more in the US. 179 00:09:23,240 --> 00:09:26,280 Speaker 6: It's going to take years because you know, plants take 180 00:09:26,400 --> 00:09:28,800 Speaker 6: years to build, and then you also have to bring 181 00:09:28,880 --> 00:09:33,480 Speaker 6: back the suppliers. The suppliers rather produce their parts near 182 00:09:33,520 --> 00:09:37,440 Speaker 6: the manufacturing, near the assembly plants rather than you know 183 00:09:37,520 --> 00:09:40,440 Speaker 6: other you know, uh in other countries where you know, 184 00:09:40,520 --> 00:09:43,760 Speaker 6: shipping cross could cost could be very high, so it 185 00:09:44,160 --> 00:09:47,840 Speaker 6: could take, if not years, a couple of decades to 186 00:09:48,160 --> 00:09:50,079 Speaker 6: actually turn. 187 00:09:50,120 --> 00:09:50,960 Speaker 5: That ship around. 188 00:09:51,360 --> 00:09:55,319 Speaker 2: So where is Stillans is just from a positioning perspective 189 00:09:55,400 --> 00:09:58,480 Speaker 2: right now relative to the other automakers out there. 190 00:09:59,120 --> 00:10:01,480 Speaker 6: Yees, stillent Is has been losing quite a bit of 191 00:10:01,520 --> 00:10:04,240 Speaker 6: market share on their high you know, the higher profit 192 00:10:04,440 --> 00:10:08,520 Speaker 6: vehicles like the ram trucks, the jeeps, and you know, 193 00:10:08,559 --> 00:10:10,960 Speaker 6: with the new CEO coming on board, you know, the 194 00:10:11,080 --> 00:10:16,720 Speaker 6: shift the strategy has shifted from more of achieving cost 195 00:10:16,760 --> 00:10:21,199 Speaker 6: savings from the mergers that created Silentists back in two 196 00:10:21,200 --> 00:10:24,760 Speaker 6: thousand and one to more of an outreach. You know, 197 00:10:24,880 --> 00:10:26,439 Speaker 6: how are we going to how are they going to 198 00:10:27,240 --> 00:10:31,839 Speaker 6: answer the demands of the consumer They really want the 199 00:10:31,960 --> 00:10:34,200 Speaker 6: v eight back, which is what they're doing to bring 200 00:10:34,240 --> 00:10:37,679 Speaker 6: that vight heav me back, and you know I they'd 201 00:10:37,679 --> 00:10:40,439 Speaker 6: also bring the mid sized cheep Cherokee back, which has 202 00:10:40,520 --> 00:10:42,199 Speaker 6: been very popular with consumers. 203 00:10:42,960 --> 00:10:46,120 Speaker 5: Stay with us. More from Bloomberg Intelligence coming up after this. 204 00:10:50,000 --> 00:10:53,680 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 205 00:10:53,800 --> 00:10:56,320 Speaker 1: weekdays at ten a m. Eastern on Apple, cor Play 206 00:10:56,360 --> 00:10:59,320 Speaker 1: and Android Auto with the Bloomberg Business app. Listen on 207 00:10:59,400 --> 00:11:02,640 Speaker 1: demand wherever you get your podcasts, or watch us live 208 00:11:02,720 --> 00:11:03,360 Speaker 1: on YouTube. 209 00:11:04,640 --> 00:11:07,000 Speaker 2: Let's talk about the consumer here. How's the consumer doing 210 00:11:07,040 --> 00:11:09,360 Speaker 2: out there? There's lots of ways you can kind of 211 00:11:09,440 --> 00:11:11,400 Speaker 2: get a sense for that. We talked to Mike Halen 212 00:11:11,640 --> 00:11:14,760 Speaker 2: from Bloomberg Intelligence about how the restaurant traffic is doing. 213 00:11:15,000 --> 00:11:16,000 Speaker 5: And we also can. 214 00:11:15,920 --> 00:11:20,720 Speaker 2: Talk to Lindsay Dutch. She covers the consumer hardlines retail companies. 215 00:11:21,000 --> 00:11:22,960 Speaker 2: She's a senior analyst of Bloomberg Intelligence. 216 00:11:23,280 --> 00:11:27,160 Speaker 5: Lindsay, let's talk like, I know Dick's Sporting goods ALTA. 217 00:11:27,520 --> 00:11:28,640 Speaker 5: You've got a couple of companies that. 218 00:11:28,559 --> 00:11:31,480 Speaker 2: Are going to be reporting earnings coming up, and what 219 00:11:31,520 --> 00:11:32,720 Speaker 2: do you expect from these companies? 220 00:11:34,000 --> 00:11:36,640 Speaker 7: Yeah, thanks Paul for having me. We are taking a 221 00:11:36,679 --> 00:11:39,800 Speaker 7: look at full year guidance going into the third quarter 222 00:11:39,840 --> 00:11:43,679 Speaker 7: earnings and of course that important holiday shopping season, and 223 00:11:44,120 --> 00:11:47,160 Speaker 7: what we've noticed is, you know, the guidance ranges are very, 224 00:11:47,280 --> 00:11:50,080 Speaker 7: very wide for these retailers. It's baking in a lot 225 00:11:50,120 --> 00:11:53,960 Speaker 7: of uncertainty surrounding the consumer. But when we look at 226 00:11:53,960 --> 00:11:57,760 Speaker 7: the demand trends and sort of first half results, first 227 00:11:57,760 --> 00:12:01,199 Speaker 7: half results were pretty solid for many of the hardline retailers, 228 00:12:01,240 --> 00:12:04,720 Speaker 7: and we're seeing better demand in the beauty space, you know, 229 00:12:05,000 --> 00:12:08,880 Speaker 7: better demand for electronics even and home furnishing, some categories 230 00:12:08,880 --> 00:12:11,800 Speaker 7: that have really been struggling. And when I look at 231 00:12:11,800 --> 00:12:14,040 Speaker 7: this guidance range, I sort of think that we might 232 00:12:14,040 --> 00:12:16,680 Speaker 7: be able to trend sort of towards the middle upper 233 00:12:16,760 --> 00:12:20,240 Speaker 7: half of the range if that demand can hang on 234 00:12:20,720 --> 00:12:22,800 Speaker 7: through the second half into twenty twenty six. 235 00:12:23,559 --> 00:12:26,920 Speaker 3: Can that demand hang on if prices increase or the 236 00:12:26,960 --> 00:12:30,240 Speaker 3: supply is limited. We're hearing again these headlines from President 237 00:12:30,320 --> 00:12:33,480 Speaker 3: Trump that there could be a massive increase of tariffs 238 00:12:33,480 --> 00:12:35,959 Speaker 3: on goods from China. Dick Sporting Goods, all to Beauty 239 00:12:36,040 --> 00:12:40,400 Speaker 3: certainly do rely on China for their supply chain. So 240 00:12:40,440 --> 00:12:42,800 Speaker 3: I'm curious whether that gets folded in. 241 00:12:44,120 --> 00:12:46,320 Speaker 7: So I think when we think about the second half, 242 00:12:46,559 --> 00:12:49,240 Speaker 7: I think a lot of that inventory is already in place, 243 00:12:50,160 --> 00:12:53,200 Speaker 7: and there have been price increases that have occurred on 244 00:12:53,280 --> 00:12:56,760 Speaker 7: that inventory. We're expecting to see that. We do think 245 00:12:56,840 --> 00:12:59,000 Speaker 7: this shopper is going to come out a lot like 246 00:12:59,040 --> 00:13:03,160 Speaker 7: they did last year, selective value focused, but they're still 247 00:13:03,280 --> 00:13:06,800 Speaker 7: willing to spend, you know, on certain things. And I 248 00:13:06,840 --> 00:13:08,800 Speaker 7: think that you know, the key draw there is, you know, 249 00:13:08,840 --> 00:13:13,800 Speaker 7: anything that's new Nintendo switch to, you know, anything exclusive 250 00:13:13,960 --> 00:13:16,240 Speaker 7: or like a premium type product, you know, which does 251 00:13:16,280 --> 00:13:18,880 Speaker 7: skew to Addict's sporting goods. I think when I think 252 00:13:18,920 --> 00:13:21,600 Speaker 7: about the risk, you know, of these headlines that we're seeing, 253 00:13:21,679 --> 00:13:25,839 Speaker 7: you know, best Buy, you know, is responding to those headlines. 254 00:13:26,240 --> 00:13:29,600 Speaker 7: I think if we see a big, much higher levey 255 00:13:29,720 --> 00:13:32,280 Speaker 7: on goods from China, you know, that's something that they're 256 00:13:32,280 --> 00:13:35,000 Speaker 7: going to have to address. In the twenty twenty six year, 257 00:13:35,640 --> 00:13:38,640 Speaker 7: they have significantly reduced their exposure, you know, of those 258 00:13:38,679 --> 00:13:41,160 Speaker 7: hardlines names we were talking about. Best Buy is probably 259 00:13:41,160 --> 00:13:44,800 Speaker 7: the most exposed thirty three percent of cogs. But it's 260 00:13:44,840 --> 00:13:48,480 Speaker 7: all indirect exposure, so it's not stuff that they're directly importing. 261 00:13:49,080 --> 00:13:51,760 Speaker 7: It's just some of the inventory that they have on hand. 262 00:13:53,080 --> 00:13:56,640 Speaker 2: Lindsay, the companies you cover, the hardline retailers, what's their 263 00:13:56,840 --> 00:13:58,280 Speaker 2: I don't know if they have a collective view of 264 00:13:58,280 --> 00:14:00,520 Speaker 2: how the consumers doing out there. 265 00:14:00,320 --> 00:14:01,960 Speaker 5: What are they telling you guys. 266 00:14:03,720 --> 00:14:07,720 Speaker 7: Yeah, again, I think they're what we've seen, and this 267 00:14:07,840 --> 00:14:09,960 Speaker 7: is sort of going back all the way, you know, 268 00:14:10,000 --> 00:14:13,959 Speaker 7: to last year's holiday season, is that newness is driving 269 00:14:14,040 --> 00:14:17,400 Speaker 7: demand and that's no matter what the category. So like 270 00:14:17,440 --> 00:14:21,760 Speaker 7: beauty electronics, we saw explosive demand for that Nintendo switch 271 00:14:21,880 --> 00:14:26,400 Speaker 7: to But even in the sporting goods market, you know, 272 00:14:26,680 --> 00:14:31,240 Speaker 7: new product or a premium type product is really drawing 273 00:14:31,280 --> 00:14:34,280 Speaker 7: that consumer in, even if it's a higher price point. 274 00:14:34,600 --> 00:14:38,440 Speaker 7: So consumers are definitely value focused, but they're making sacrifices. 275 00:14:38,440 --> 00:14:42,080 Speaker 7: They're choosing to shop value on certain things and then 276 00:14:42,080 --> 00:14:45,800 Speaker 7: they're splurging on other things. It's really hard to discern. 277 00:14:45,960 --> 00:14:49,320 Speaker 7: But like I said, we've seen improvement broadly in the 278 00:14:49,360 --> 00:14:54,480 Speaker 7: home furnishings category, also in electronics, and then beauty, which 279 00:14:54,560 --> 00:14:57,400 Speaker 7: kind of took a leg down last year, is looking 280 00:14:57,440 --> 00:14:58,520 Speaker 7: a lot better this year. 281 00:15:00,000 --> 00:15:01,680 Speaker 3: We talk a little bit about these companies and their 282 00:15:01,680 --> 00:15:04,360 Speaker 3: efforts to make sure that the consumer stays with them 283 00:15:04,520 --> 00:15:06,560 Speaker 3: no matter what happens, even if they can go to 284 00:15:06,600 --> 00:15:08,720 Speaker 3: say TJ Max and get it for cheaper, because they 285 00:15:08,720 --> 00:15:13,080 Speaker 3: have these loyalty programs that tie the consumer so closely 286 00:15:13,200 --> 00:15:16,200 Speaker 3: to their brand. Even as an aggregator, Dick Sporting Goods 287 00:15:16,320 --> 00:15:18,920 Speaker 3: does not sell its own branded merchandise. It sells Nike, 288 00:15:18,960 --> 00:15:21,800 Speaker 3: it sells New Balance, but people go back repeatedly to 289 00:15:21,920 --> 00:15:22,360 Speaker 3: the store. 290 00:15:23,960 --> 00:15:24,200 Speaker 4: Right. 291 00:15:24,680 --> 00:15:28,320 Speaker 7: Yeah, those loyalty programs, you know, for the retailers are 292 00:15:28,360 --> 00:15:30,400 Speaker 7: great because that gives them a lot of data on 293 00:15:30,640 --> 00:15:34,240 Speaker 7: their their customers that shop the most with them. You know, 294 00:15:34,280 --> 00:15:36,760 Speaker 7: I think this is where, you know, assortment matters and 295 00:15:36,880 --> 00:15:41,680 Speaker 7: exclusives matter. So, you know, Dick's smaller peer, Academy Sports, 296 00:15:41,720 --> 00:15:44,440 Speaker 7: they have not seen the growth that Dix is seeing. 297 00:15:44,480 --> 00:15:47,520 Speaker 7: And it's just because they also carry Nike, but they 298 00:15:47,600 --> 00:15:50,920 Speaker 7: might not carry the brand new Nike basketball sneakers for 299 00:15:51,000 --> 00:15:55,040 Speaker 7: the season whereas Dix does. So the assortment you really 300 00:15:55,080 --> 00:15:57,800 Speaker 7: have to dive in and look at very specifically. You 301 00:15:57,800 --> 00:16:00,080 Speaker 7: know what some of these retailers have. They have to 302 00:16:00,160 --> 00:16:03,240 Speaker 7: have that newest product. They have to have you know, 303 00:16:03,360 --> 00:16:05,920 Speaker 7: exclusive items where you can't go elsewhere to get it, 304 00:16:06,800 --> 00:16:09,680 Speaker 7: and that is really key to keeping that customer back. 305 00:16:09,760 --> 00:16:12,280 Speaker 7: I also think you know, when you have a positive 306 00:16:12,320 --> 00:16:15,320 Speaker 7: experience shopping at a retailer, you know you're going to 307 00:16:15,360 --> 00:16:18,640 Speaker 7: go back to them as well for that customer service 308 00:16:18,760 --> 00:16:21,040 Speaker 7: or whatever it is that they're providing to you that 309 00:16:21,400 --> 00:16:22,440 Speaker 7: no one else can give you. 310 00:16:23,040 --> 00:16:27,720 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 311 00:16:27,920 --> 00:16:31,400 Speaker 1: and anywhere else you get your podcasts. 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