1 00:00:02,720 --> 00:00:10,559 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 00:00:14,600 --> 00:00:17,880 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,080 Speaker 1: or watch us live on YouTube. 6 00:00:24,040 --> 00:00:27,160 Speaker 2: Purring Season, let's talk about a Micron Technologies came out 7 00:00:27,200 --> 00:00:30,960 Speaker 2: some numbers last night. Stocks up twelve percent year today, 8 00:00:31,120 --> 00:00:33,239 Speaker 2: But that's not the good number. The good number is 9 00:00:33,760 --> 00:00:36,960 Speaker 2: year to date up three hundred percent, over the trailing 10 00:00:37,000 --> 00:00:41,280 Speaker 2: twelve months, up eight hundred percent. So and this is 11 00:00:41,320 --> 00:00:43,840 Speaker 2: a one point three trillion dollar market cap company, people, 12 00:00:43,880 --> 00:00:48,000 Speaker 2: So there's some real money being made by investors here. 13 00:00:48,040 --> 00:00:50,200 Speaker 2: This is not a pink sheet, which my next guest 14 00:00:50,200 --> 00:00:51,600 Speaker 2: doesn't know what a pink sheet is, but it's not 15 00:00:51,640 --> 00:00:54,680 Speaker 2: a pink sheet stock. Jake Silverman, Semiconductor Analyts or Bloomberg 16 00:00:54,680 --> 00:00:57,080 Speaker 2: Intelligence Joints is here what you hear from Micron last. 17 00:00:57,000 --> 00:00:57,400 Speaker 3: Night, Jake? 18 00:00:57,440 --> 00:01:00,400 Speaker 2: That that's got the market pretty positi here. 19 00:01:00,560 --> 00:01:04,920 Speaker 4: Yeah, I mean it's continued upward pricing momentum. All that 20 00:01:05,040 --> 00:01:09,080 Speaker 4: is for the most part AI driven, you know. I mean, look, 21 00:01:09,080 --> 00:01:11,920 Speaker 4: we've seen healthy PC smartphone demand, but that's not the 22 00:01:11,959 --> 00:01:16,080 Speaker 4: real story. Right, We're seeing hyperscale CAPEX continue to grow 23 00:01:16,080 --> 00:01:18,800 Speaker 4: at an incredibly high rate, and memory is becoming an 24 00:01:18,840 --> 00:01:22,000 Speaker 4: increasingly large portion of that, But it's really on pricing. 25 00:01:22,360 --> 00:01:25,440 Speaker 4: Demand is strong because of AI buildouts, Right, We're shifting 26 00:01:25,480 --> 00:01:29,200 Speaker 4: from an AI training or environment to AI inferencing, and 27 00:01:29,240 --> 00:01:31,640 Speaker 4: that's just increasing the amount of memory that you need 28 00:01:31,720 --> 00:01:35,280 Speaker 4: in these data centers. The memory intensity is going higher. 29 00:01:35,400 --> 00:01:38,440 Speaker 4: But then we're also seeing longer term contracts being signed 30 00:01:38,440 --> 00:01:41,880 Speaker 4: by customers. They talked to Micron talked about sixteen last night, 31 00:01:43,080 --> 00:01:45,840 Speaker 4: one hundred billion dollars of revenue contract going all the 32 00:01:45,840 --> 00:01:47,600 Speaker 4: way out in some cases to twenty thirty. 33 00:01:48,120 --> 00:01:51,480 Speaker 5: Wow. So of course now the bar continually gets raised 34 00:01:51,720 --> 00:01:53,920 Speaker 5: for a company like Micron. Was there anything sort of 35 00:01:54,080 --> 00:01:57,160 Speaker 5: the minutia of this report that I don't know is 36 00:01:57,160 --> 00:01:59,480 Speaker 5: maybe a mini red flag for Micron or for the 37 00:01:59,520 --> 00:02:00,880 Speaker 5: greater in industry. 38 00:02:01,200 --> 00:02:03,760 Speaker 4: Yeah, So it's the interesting thing is, yeah, you really 39 00:02:03,880 --> 00:02:06,720 Speaker 4: is truly minute show because I think Mark the CFO 40 00:02:06,840 --> 00:02:10,640 Speaker 4: mentioned ASC six oh six last night, not something you 41 00:02:10,680 --> 00:02:13,640 Speaker 4: typically hear on memory calls. But but the interesting thing 42 00:02:13,680 --> 00:02:15,920 Speaker 4: about this is they talk about floor pricing and some 43 00:02:16,000 --> 00:02:19,040 Speaker 4: of these agreements I think they have twenty five percent 44 00:02:19,160 --> 00:02:23,359 Speaker 4: of their revenue or bits contracted out, but they're talking 45 00:02:23,400 --> 00:02:25,799 Speaker 4: about getting up to fifty percent or so of that 46 00:02:26,240 --> 00:02:30,000 Speaker 4: demand getting contracted. Now, that leaves another fifty percent that 47 00:02:30,160 --> 00:02:33,320 Speaker 4: isn't potentially going to get contracted. So when we start 48 00:02:33,360 --> 00:02:35,760 Speaker 4: to see a downturn, you know, the floor pricing on 49 00:02:35,800 --> 00:02:39,080 Speaker 4: those contract agreements, you know, they're talking about healthier margins 50 00:02:39,080 --> 00:02:41,880 Speaker 4: than even the last cyclical peak, which would put it 51 00:02:41,919 --> 00:02:46,280 Speaker 4: at you know, north of sixty percent probably, which is pretty. 52 00:02:46,000 --> 00:02:47,600 Speaker 5: So still an enviable position. 53 00:02:47,680 --> 00:02:50,000 Speaker 4: It's still enviable, but it's also a question mark is 54 00:02:50,040 --> 00:02:52,560 Speaker 4: when does the downturn occur and what happens to the 55 00:02:52,600 --> 00:02:55,920 Speaker 4: rest of the business that isn't contracted out, and you know, 56 00:02:56,520 --> 00:02:59,560 Speaker 4: what are the margins on the floor pricing for some 57 00:02:59,639 --> 00:03:02,280 Speaker 4: of those tracks. Anyway, it's all just there's a lot 58 00:03:02,280 --> 00:03:04,440 Speaker 4: of question marks and a lot of unknowns, and unfortunately 59 00:03:04,480 --> 00:03:07,120 Speaker 4: we're just not going to really know near term what's 60 00:03:07,120 --> 00:03:10,200 Speaker 4: going to happen. It's too far out because capacity in 61 00:03:10,240 --> 00:03:12,559 Speaker 4: the industry just can't keep pace with demand. 62 00:03:13,320 --> 00:03:13,679 Speaker 6: All right. 63 00:03:14,240 --> 00:03:17,480 Speaker 2: Mike trailing twelve month stocks up, Micron trailing twelve month 64 00:03:17,480 --> 00:03:20,440 Speaker 2: stocks up eight hundred and twenty five percent, sk Heinex 65 00:03:20,840 --> 00:03:22,960 Speaker 2: up nine hundred and twenty five percent, Western Digital up 66 00:03:23,000 --> 00:03:26,240 Speaker 2: nine hundred and eighty percent, Cegate Technology up six hundred 67 00:03:26,240 --> 00:03:30,480 Speaker 2: and forty percent. Is there anyone differentiate between these companies 68 00:03:30,560 --> 00:03:31,919 Speaker 2: or do you just shut up and buy them? 69 00:03:32,120 --> 00:03:32,480 Speaker 7: Buy them? 70 00:03:33,720 --> 00:03:37,000 Speaker 4: Well, so the thing is sk Heinex, they have the capacity, 71 00:03:37,240 --> 00:03:40,800 Speaker 4: they have HB, they have a stronger HBM demand base 72 00:03:41,040 --> 00:03:43,680 Speaker 4: because of the capacity and because of their historyuth Nvidia 73 00:03:43,920 --> 00:03:47,560 Speaker 4: than Micron. Micron has about twenty to twenty five percent 74 00:03:47,640 --> 00:03:51,960 Speaker 4: DM market share, a little bit lower on land. Sk 75 00:03:52,080 --> 00:03:54,960 Speaker 4: Henix has that capacity base, Samsung has that capacity base. 76 00:03:55,000 --> 00:03:56,800 Speaker 4: But also if you look at Samsung, they have tons 77 00:03:56,840 --> 00:03:59,000 Speaker 4: of other businesses. It's just that no one needs to 78 00:03:59,000 --> 00:04:01,280 Speaker 4: care as much about them right now because memory is 79 00:04:01,320 --> 00:04:04,200 Speaker 4: doing so well. But they have foundry business, they have smartphone, 80 00:04:04,200 --> 00:04:07,600 Speaker 4: all sorts of TV. I mean they're all and then 81 00:04:07,640 --> 00:04:09,640 Speaker 4: you look at it Western Digital and Cgate and they're 82 00:04:09,800 --> 00:04:11,960 Speaker 4: they're not even memory their storage, and you know, it's 83 00:04:11,960 --> 00:04:15,080 Speaker 4: hard to differentiate. But they have their own duopoly scenario 84 00:04:15,200 --> 00:04:17,800 Speaker 4: going where they're the main players in that industry and 85 00:04:17,800 --> 00:04:20,920 Speaker 4: they're not increasing capacity either, And so you have several 86 00:04:20,920 --> 00:04:23,360 Speaker 4: different dynamics all going around, But how do you really 87 00:04:23,400 --> 00:04:27,839 Speaker 4: differentiate between Heinez and Micron and sand Disk. It's really difficult. 88 00:04:28,680 --> 00:04:32,200 Speaker 5: Did this report from Micron appease investors' worries about the 89 00:04:32,240 --> 00:04:34,039 Speaker 5: AI trade or is this just is this going to 90 00:04:34,040 --> 00:04:37,640 Speaker 5: be like a short lived situation? I think it. 91 00:04:37,839 --> 00:04:39,760 Speaker 4: What it really did is the reason I mentioned the 92 00:04:39,760 --> 00:04:42,839 Speaker 4: floor pricing is because I think that was what investors 93 00:04:42,839 --> 00:04:46,680 Speaker 4: wanted to know, is will these contracts get renegotiated and 94 00:04:46,720 --> 00:04:49,640 Speaker 4: take step down pricing when the cycle starts to turn. 95 00:04:49,720 --> 00:04:52,440 Speaker 4: Assuming you still think these stocks are cyclical, which in 96 00:04:52,520 --> 00:04:55,599 Speaker 4: my point of view, I still think that memory is cyclical. 97 00:04:55,760 --> 00:04:58,159 Speaker 4: It's just that we might see some structural changes in 98 00:04:58,200 --> 00:05:01,599 Speaker 4: the way that those price, the price volatility changes. It 99 00:05:01,680 --> 00:05:04,640 Speaker 4: might just be less volatile and maybe even actually elongated. 100 00:05:05,040 --> 00:05:07,359 Speaker 4: But it also might mean that instead of having tens 101 00:05:07,360 --> 00:05:10,159 Speaker 4: of billions of dollars of cash burn, you might not 102 00:05:10,320 --> 00:05:14,000 Speaker 4: see any cash burn at all in the industry. It 103 00:05:14,040 --> 00:05:16,760 Speaker 4: could be razor thin in terms of free cash flow. 104 00:05:16,839 --> 00:05:20,000 Speaker 4: But yeah, investors, I think are looking at this and 105 00:05:20,000 --> 00:05:22,240 Speaker 4: they're trying to figure out is this short lived? Is 106 00:05:22,279 --> 00:05:26,160 Speaker 4: this long term? Are we going to actually see a 107 00:05:26,200 --> 00:05:28,640 Speaker 4: real cycle play out? What's the length of that cycle. 108 00:05:28,760 --> 00:05:31,440 Speaker 4: And I think the floor pricing and the more talk 109 00:05:31,480 --> 00:05:34,080 Speaker 4: about contracts how many customers, I think that starts to 110 00:05:34,120 --> 00:05:36,720 Speaker 4: impease some of the anxiety. 111 00:05:36,760 --> 00:05:37,440 Speaker 1: Stay with us. 112 00:05:37,480 --> 00:05:39,719 Speaker 5: More from Bloomberg Intelligence coming up after this. 113 00:05:43,480 --> 00:05:47,200 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 114 00:05:47,279 --> 00:05:50,320 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 115 00:05:50,360 --> 00:05:53,679 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 116 00:05:53,720 --> 00:05:56,839 Speaker 1: you get your podcasts, or watch us live on YouTube. 117 00:05:58,040 --> 00:06:01,400 Speaker 2: Well, we get some earnings from dartin Red Restaurants here today. 118 00:06:02,160 --> 00:06:03,000 Speaker 8: Weak outlook. 119 00:06:03,080 --> 00:06:06,520 Speaker 3: Apparently the Olive Garden sales outlook disappoints. 120 00:06:06,560 --> 00:06:08,880 Speaker 2: Let's break it down with Michael Halen, senior restaurant and 121 00:06:08,880 --> 00:06:11,200 Speaker 2: food services analyst for Bloomberg Intelligence. 122 00:06:11,520 --> 00:06:14,279 Speaker 3: Mike, what do you see from Darden with their earnings report? 123 00:06:16,200 --> 00:06:19,400 Speaker 7: Yeah, you know, it was a pretty solid report. 124 00:06:19,600 --> 00:06:22,400 Speaker 9: You know, cut they were able to drive pretty strong 125 00:06:22,440 --> 00:06:26,320 Speaker 9: seam store sales, especially at Longhorn. You know, they had 126 00:06:26,600 --> 00:06:29,159 Speaker 9: a social media post go viral about the return of 127 00:06:29,880 --> 00:06:33,200 Speaker 9: their Palmsjean crusted lamb chops. 128 00:06:34,720 --> 00:06:36,279 Speaker 7: So all in all, it was it was a pretty 129 00:06:36,320 --> 00:06:36,919 Speaker 7: good quarter. 130 00:06:37,320 --> 00:06:41,240 Speaker 9: The issue would really be, you know, twofold Number one 131 00:06:41,360 --> 00:06:44,440 Speaker 9: is their fiscal twenty seven guidance came in light on 132 00:06:44,480 --> 00:06:45,680 Speaker 9: the EPs line. 133 00:06:45,880 --> 00:06:46,080 Speaker 7: Right. 134 00:06:46,160 --> 00:06:50,119 Speaker 9: This company is known to guide pretty conservatively, so that 135 00:06:50,120 --> 00:06:52,080 Speaker 9: that could be what's. 136 00:06:51,920 --> 00:06:52,640 Speaker 7: Going on there. 137 00:06:52,680 --> 00:06:54,919 Speaker 9: And the other thing is, you know, sales are going 138 00:06:55,000 --> 00:06:57,880 Speaker 9: to slow sequentially, So sales are going to slow sequentially 139 00:06:57,920 --> 00:07:00,960 Speaker 9: for everyone because the restaurant industry had a very good 140 00:07:01,040 --> 00:07:04,600 Speaker 9: summer last year. So now we have to lap those 141 00:07:04,600 --> 00:07:07,760 Speaker 9: tough pomps. We have tough base effects, and especially so 142 00:07:07,960 --> 00:07:11,480 Speaker 9: for Darden's brand. So Darden's brands had a nice boost 143 00:07:11,600 --> 00:07:15,640 Speaker 9: last year from rolling out third party delivery with Uber Eats, 144 00:07:16,160 --> 00:07:18,960 Speaker 9: and now that they're going to lap it, especially Olive Garden, 145 00:07:19,800 --> 00:07:20,720 Speaker 9: sales are going to slow. 146 00:07:21,840 --> 00:07:24,960 Speaker 5: So, Michael, they also own Ruth's Chris Steakhouse. You mentioned Longhorn, 147 00:07:25,040 --> 00:07:27,840 Speaker 5: But what is happening at Olive Garden. We know that 148 00:07:27,840 --> 00:07:30,400 Speaker 5: they've been trying to get things back on track, and 149 00:07:30,480 --> 00:07:34,080 Speaker 5: they even were doing smaller portions. I think they're still 150 00:07:34,080 --> 00:07:36,440 Speaker 5: doing that. That doesn't seem to be taken. What what's 151 00:07:36,480 --> 00:07:38,680 Speaker 5: going on? Why can't they seem to gain traction with 152 00:07:38,760 --> 00:07:39,360 Speaker 5: the consumer? 153 00:07:41,480 --> 00:07:44,440 Speaker 9: Yeah, you know, I don't I don't necessarily feel that 154 00:07:44,440 --> 00:07:46,800 Speaker 9: that's the case. I mean, they had same sort of 155 00:07:46,800 --> 00:07:51,640 Speaker 9: sales that were pretty strong, you know last year, right, Like. 156 00:07:53,120 --> 00:07:56,200 Speaker 7: It's basically part of the issue is their own success. 157 00:07:56,240 --> 00:07:58,520 Speaker 9: So last year, Olive Garden had a pretty good year, 158 00:07:58,520 --> 00:08:00,800 Speaker 9: and now they have to lap those strong results. You know, 159 00:08:00,840 --> 00:08:04,760 Speaker 9: we we still think that Darden is gonna outpace most 160 00:08:04,760 --> 00:08:09,680 Speaker 9: of their casual dining peers, Olive Garden included. You know, 161 00:08:09,840 --> 00:08:13,240 Speaker 9: but we see that this industry as a whole slowing 162 00:08:13,280 --> 00:08:19,320 Speaker 9: this summer. You know, low income consumers are still strapped, right, 163 00:08:19,480 --> 00:08:24,080 Speaker 9: They've they spent their higher tax refunds, you know, at 164 00:08:24,120 --> 00:08:27,400 Speaker 9: the pump. And you know, we expect restaurant you know, 165 00:08:27,920 --> 00:08:31,880 Speaker 9: uh sales here to start to to decelerate here over 166 00:08:31,920 --> 00:08:35,280 Speaker 9: the next quarter. And you know, Olive Garden and Darden 167 00:08:35,360 --> 00:08:36,520 Speaker 9: is not I mute. 168 00:08:36,760 --> 00:08:38,600 Speaker 3: So what what do you see, Michael? 169 00:08:38,720 --> 00:08:41,280 Speaker 2: Just cross the board, you cover all these restaurants, you 170 00:08:41,320 --> 00:08:43,920 Speaker 2: see from the quick service restaurants all the way up 171 00:08:43,960 --> 00:08:47,199 Speaker 2: to some of the higher end stuff. Is the K 172 00:08:47,360 --> 00:08:50,640 Speaker 2: shaped economy apparent in the restaurant business as well? 173 00:08:52,600 --> 00:08:53,040 Speaker 7: For sure? 174 00:08:53,160 --> 00:08:57,000 Speaker 9: That's probably We've been writing about it for several years now. 175 00:08:57,040 --> 00:09:01,160 Speaker 9: We were probably the first industry to feel it. And yeah, 176 00:09:01,320 --> 00:09:04,880 Speaker 9: i'd say, going back two plus years, we saw it. 177 00:09:05,880 --> 00:09:08,720 Speaker 9: I think I forget maybe it was Chipotle who was 178 00:09:08,720 --> 00:09:10,960 Speaker 9: one of the first to admit it because they didn't 179 00:09:10,960 --> 00:09:13,320 Speaker 9: have that many low income consumers, so it wasn't going 180 00:09:13,400 --> 00:09:15,400 Speaker 9: to impact them as much as some of their peers. 181 00:09:15,400 --> 00:09:20,640 Speaker 9: But you know, yes, this is inflation really impacts the 182 00:09:20,679 --> 00:09:21,600 Speaker 9: restaurant industry. 183 00:09:21,679 --> 00:09:22,200 Speaker 7: Number one. 184 00:09:22,240 --> 00:09:25,800 Speaker 9: It impacts low income and middle income consumer spending. 185 00:09:25,880 --> 00:09:26,080 Speaker 10: Right. 186 00:09:26,200 --> 00:09:28,000 Speaker 7: People have been spending way. 187 00:09:27,800 --> 00:09:30,160 Speaker 9: More at the pump over the last couple of months 188 00:09:30,160 --> 00:09:33,480 Speaker 9: than they had been. That takes money, you know, out 189 00:09:33,559 --> 00:09:36,640 Speaker 9: of the out of their wallet that could be used 190 00:09:36,679 --> 00:09:40,480 Speaker 9: for restaurant visits. Restaurants are very, very sensitive. It really 191 00:09:40,520 --> 00:09:43,800 Speaker 9: is a canary for canary and the coalmi for the 192 00:09:43,880 --> 00:09:47,840 Speaker 9: economy in the United States, and low income consumers remain strapped. 193 00:09:47,840 --> 00:09:50,160 Speaker 9: Low and middle income got a boost with these refund 194 00:09:50,160 --> 00:09:53,040 Speaker 9: shack checks. You know, we expect that to be short 195 00:09:53,080 --> 00:09:56,920 Speaker 9: lived and now we just have to, you know, face 196 00:09:56,920 --> 00:09:59,400 Speaker 9: some tough comps. You know, I think it's it's a 197 00:09:59,440 --> 00:10:03,480 Speaker 9: tough time for restaurants. You know, low income consumers not 198 00:10:03,559 --> 00:10:06,319 Speaker 9: getting better and it's not going to until we see 199 00:10:06,520 --> 00:10:10,040 Speaker 9: inflation get back down to that two percent or below. 200 00:10:10,520 --> 00:10:12,680 Speaker 5: Yeah, the margins are just so razor thin for so 201 00:10:12,720 --> 00:10:14,800 Speaker 5: many of these restaurants. But did they say on the 202 00:10:14,840 --> 00:10:18,199 Speaker 5: earnings call anything about beef prices, These high beef prices 203 00:10:18,240 --> 00:10:21,679 Speaker 5: and the fact that consumers are still going to steakhouses. 204 00:10:21,800 --> 00:10:23,920 Speaker 5: It seems like in droves, including. 205 00:10:23,559 --> 00:10:28,439 Speaker 9: Tonight, steakhouses do pretty well in times of beef inflation. 206 00:10:28,640 --> 00:10:32,400 Speaker 9: And part of that is, you know, the gap between 207 00:10:32,840 --> 00:10:35,000 Speaker 9: what they pay at the grocery store and at the 208 00:10:35,040 --> 00:10:38,920 Speaker 9: restaurants tends to close. Restaurants can sell different cuts of meat, right, 209 00:10:39,000 --> 00:10:42,920 Speaker 9: so they can be more particular and take advantage of 210 00:10:43,040 --> 00:10:47,960 Speaker 9: movements of different cuts of meat, and so the gap actually. 211 00:10:47,559 --> 00:10:50,360 Speaker 7: Shrinks when we see beef inflation, and so. 212 00:10:50,400 --> 00:10:54,520 Speaker 9: People will opt to get their steaks out at a restaurant. 213 00:10:55,320 --> 00:10:58,000 Speaker 9: This year, we're looking for more inflation. It's not going 214 00:10:58,080 --> 00:11:01,240 Speaker 9: to be what we saw last year. So Darden was 215 00:11:01,240 --> 00:11:04,080 Speaker 9: talking about some low single digit beef inflation. It's going 216 00:11:04,120 --> 00:11:06,160 Speaker 9: to be higher in the first quarter, but then it's 217 00:11:06,160 --> 00:11:09,240 Speaker 9: going to start to lap some really strong inflation in 218 00:11:09,280 --> 00:11:12,320 Speaker 9: the back half of last year. And so for that reason, 219 00:11:12,559 --> 00:11:14,880 Speaker 9: the chain's going to see less beef inflation, and the 220 00:11:15,040 --> 00:11:17,679 Speaker 9: entire industry is going to see less beef inflation as 221 00:11:17,679 --> 00:11:18,439 Speaker 9: the year goes on. 222 00:11:18,720 --> 00:11:21,120 Speaker 3: I'm getting my New York strip tonight a Keen steakhouse. 223 00:11:21,280 --> 00:11:23,400 Speaker 5: I passed keys the other day and I thought, of you, 224 00:11:23,440 --> 00:11:24,920 Speaker 5: that's your favorite steakhouse in the city. 225 00:11:24,960 --> 00:11:26,760 Speaker 2: Right now, some boys are coming in from out of town. Nice, 226 00:11:26,760 --> 00:11:30,480 Speaker 2: that's where they want to go. So we'll do that, Hey, Mike. 227 00:11:30,679 --> 00:11:34,200 Speaker 2: One of the industries singled out is potentially at risk 228 00:11:34,320 --> 00:11:37,679 Speaker 2: from tighter immigration was the restaurant industry. 229 00:11:38,120 --> 00:11:39,559 Speaker 3: Have you seen that as that come to fruition. 230 00:11:41,280 --> 00:11:44,560 Speaker 9: Yeah, we have seen it, and you know, we are 231 00:11:44,679 --> 00:11:48,200 Speaker 9: just you know, we've been writing our mid year outlook, 232 00:11:48,240 --> 00:11:50,840 Speaker 9: and what we've been talking about is that casual dining 233 00:11:51,000 --> 00:11:54,880 Speaker 9: in the first half of the year outperformed quick service 234 00:11:54,920 --> 00:11:57,679 Speaker 9: restaurants in terms of their sales, in terms of valuation. 235 00:11:57,840 --> 00:11:59,480 Speaker 7: They really have for the last year and a half. 236 00:12:00,040 --> 00:12:02,400 Speaker 9: So a big part of that is a better supply 237 00:12:02,480 --> 00:12:08,800 Speaker 9: and demand balance. So since the pandemic, like right after 238 00:12:08,840 --> 00:12:11,640 Speaker 9: the pandemic, and for a while, casual dining chains, full 239 00:12:11,679 --> 00:12:14,560 Speaker 9: service sitdown chains have been shutting stores. In fact, they've 240 00:12:14,559 --> 00:12:17,840 Speaker 9: been shutting them for fifteen plus years since the Great Recession, 241 00:12:18,360 --> 00:12:21,280 Speaker 9: and so but at the same time, quick service and 242 00:12:21,320 --> 00:12:25,040 Speaker 9: fast casual names. You know, for some reason, this narrative 243 00:12:25,080 --> 00:12:29,400 Speaker 9: came out that quick service was recession proof, as ridiculous 244 00:12:29,440 --> 00:12:32,360 Speaker 9: as that is. And you know, people were building quick 245 00:12:32,400 --> 00:12:34,880 Speaker 9: service and fast casual chains as fast as they could 246 00:12:34,880 --> 00:12:35,960 Speaker 9: for the last five. 247 00:12:35,800 --> 00:12:36,600 Speaker 7: Or six years. 248 00:12:36,920 --> 00:12:41,040 Speaker 9: And now that part of the business is overbuilt, whereas 249 00:12:41,080 --> 00:12:45,000 Speaker 9: casual dining has a better supply and demand imbalance balance. 250 00:12:45,320 --> 00:12:50,440 Speaker 9: And so now that you know immigration has declined, you know, 251 00:12:50,559 --> 00:12:53,480 Speaker 9: these full service chains are just in a much better spot. 252 00:12:54,679 --> 00:12:55,360 Speaker 1: Stay with us. 253 00:12:55,400 --> 00:12:57,600 Speaker 5: More from Bloomerick Intelligence coming up after this. 254 00:13:01,440 --> 00:13:05,080 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 255 00:13:05,160 --> 00:13:08,240 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 256 00:13:08,240 --> 00:13:11,520 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 257 00:13:11,559 --> 00:13:15,120 Speaker 1: you get your podcasts, or watch us live on YouTube. 258 00:13:15,960 --> 00:13:19,040 Speaker 2: Ford Motor Company took an unusually human approach to fixing 259 00:13:19,080 --> 00:13:22,560 Speaker 2: its stubborn quality problems. It brought back what it caused 260 00:13:22,679 --> 00:13:25,960 Speaker 2: gray beard engineers to help train younger staff and to 261 00:13:26,040 --> 00:13:29,760 Speaker 2: reprogram the artificial intelligence tools that weren't getting the job 262 00:13:30,000 --> 00:13:32,880 Speaker 2: done Earlier. Bloomberg Television anchor Matt Miller spoke with Ford 263 00:13:33,000 --> 00:13:37,040 Speaker 2: CEO Jim Farley on bringing back human inspectors. 264 00:13:37,120 --> 00:13:42,000 Speaker 10: That human motivation to pay attention to everyone everything is amazing. Look, 265 00:13:42,160 --> 00:13:45,480 Speaker 10: we make eighty five percent of our vehicles in the US. Man. 266 00:13:45,920 --> 00:13:49,839 Speaker 10: That means these are US factory workers versus even our 267 00:13:49,840 --> 00:13:53,360 Speaker 10: domestic competitors. They're some of the biggest importers in the US. 268 00:13:53,840 --> 00:13:56,360 Speaker 10: We're not building these vehicles in South Korea or Japan. 269 00:13:56,679 --> 00:14:01,480 Speaker 10: These are American workers beating Toyota and Hyundai, and are 270 00:14:01,520 --> 00:14:03,400 Speaker 10: domestics who import their vehicles. 271 00:14:04,000 --> 00:14:07,400 Speaker 3: We beat them all, all right. That was Ford CEO 272 00:14:07,520 --> 00:14:08,480 Speaker 3: Jim of Farley. 273 00:14:08,559 --> 00:14:10,480 Speaker 2: Looking at Ford stocks up two point eight percent today 274 00:14:10,480 --> 00:14:13,040 Speaker 2: of about eight point four percent year to date. Matt 275 00:14:13,080 --> 00:14:16,200 Speaker 2: Miller joins, this year, Matt, you had that interview with 276 00:14:16,240 --> 00:14:20,120 Speaker 2: mister Frawley. I was not expecting that story, what. 277 00:14:20,160 --> 00:14:20,840 Speaker 8: That they were going to do? 278 00:14:21,480 --> 00:14:23,160 Speaker 5: Great, Beard, Ederis I like it? 279 00:14:23,400 --> 00:14:25,360 Speaker 8: Yeah, No, I think my demo, but I think. 280 00:14:25,440 --> 00:14:28,840 Speaker 6: I mean, that's the most interesting part of this story, actually, 281 00:14:28,880 --> 00:14:31,600 Speaker 6: the comeback. I told him, you're like Tiger Woods winning 282 00:14:31,640 --> 00:14:32,840 Speaker 6: the Masters in twenty nineteen. 283 00:14:32,880 --> 00:14:34,920 Speaker 8: You're like, you're like Jordan winning. 284 00:14:34,640 --> 00:14:37,840 Speaker 6: A championship, you know, in twenty twenty six, because they 285 00:14:37,880 --> 00:14:41,720 Speaker 6: were so far down they were fifteenth ranked fifteenth in 286 00:14:41,840 --> 00:14:45,040 Speaker 6: JD Power's survey in twenty twenty three, and they're number 287 00:14:45,120 --> 00:14:49,360 Speaker 6: one today among the major automakers. And this isn't somebody said, hey, 288 00:14:49,480 --> 00:14:53,200 Speaker 6: don't you just buy those rankings. No, it's based on 289 00:14:53,280 --> 00:14:57,840 Speaker 6: how many problems customers report per hundred vehicles, So you 290 00:14:57,880 --> 00:15:02,440 Speaker 6: can't influence them other than doing a better job building cars. 291 00:15:02,240 --> 00:15:04,360 Speaker 8: Or a worse job obviously if you want to go down. 292 00:15:04,440 --> 00:15:08,760 Speaker 6: So it's not only an amazing comeback, but it's going 293 00:15:08,840 --> 00:15:11,600 Speaker 6: to be a huge contribution also to the bottom line 294 00:15:11,640 --> 00:15:15,560 Speaker 6: because what happens when you build crapp equality cars, They 295 00:15:15,640 --> 00:15:19,359 Speaker 6: keep coming back for warranty work, you keep getting safety recalls, 296 00:15:19,520 --> 00:15:21,000 Speaker 6: and you have to spend a lot of money. And 297 00:15:21,000 --> 00:15:23,600 Speaker 6: that was really a significant hit to Ford's bottom line 298 00:15:23,640 --> 00:15:25,560 Speaker 6: over the last couple of years. They were losing a 299 00:15:25,560 --> 00:15:27,400 Speaker 6: lot of money. Farley now says they're going to save 300 00:15:27,520 --> 00:15:31,400 Speaker 6: hundreds of millions of dollars, and they're forecasting between eight 301 00:15:31,400 --> 00:15:33,240 Speaker 6: and a half and ten and a half billion dollars 302 00:15:33,520 --> 00:15:37,600 Speaker 6: in pre tax earnings this year. I could imagine that 303 00:15:37,960 --> 00:15:41,480 Speaker 6: forecast getting upgraded at their next earning is because of 304 00:15:41,680 --> 00:15:42,920 Speaker 6: this improvement in quality. 305 00:15:43,040 --> 00:15:46,200 Speaker 5: Are they doing it with more AI or less AI? 306 00:15:46,280 --> 00:15:48,600 Speaker 5: Guess when I hear about the human touch, I'm thinking, Oh, 307 00:15:48,640 --> 00:15:51,320 Speaker 5: I don't Maybe they're doing this with like actual humans 308 00:15:51,360 --> 00:15:52,680 Speaker 5: and not so much the technology. 309 00:15:52,760 --> 00:15:53,320 Speaker 8: Yeah, I think. 310 00:15:53,480 --> 00:15:58,600 Speaker 6: I mean, I asked him, is it technology factory processes? 311 00:15:58,760 --> 00:16:02,200 Speaker 6: Are you more close monitoring your suppliers are using AI? 312 00:16:02,680 --> 00:16:04,720 Speaker 6: And he said, we're using AI, but this is really 313 00:16:04,760 --> 00:16:08,600 Speaker 6: a human labor solution to the problem. We've We've brought 314 00:16:08,640 --> 00:16:12,280 Speaker 6: back people who have real experience. They're teaching our younger workers. 315 00:16:12,560 --> 00:16:16,080 Speaker 6: They're also better able to train the AI, because you know, 316 00:16:16,120 --> 00:16:18,160 Speaker 6: you've got to tell the AI what to do, and 317 00:16:18,240 --> 00:16:20,840 Speaker 6: if you don't know to start with, that's a real problem. 318 00:16:21,600 --> 00:16:25,240 Speaker 6: So I think at this point, when we're worried about 319 00:16:25,240 --> 00:16:28,800 Speaker 6: AI taking human jobs is refreshing. It's a really refreshing 320 00:16:28,800 --> 00:16:32,040 Speaker 6: thing to hear. And it's really interesting as well that 321 00:16:32,120 --> 00:16:34,800 Speaker 6: they need some of those skilled workers back on the 322 00:16:34,840 --> 00:16:37,480 Speaker 6: factory floor at the Rouge and other plants around around 323 00:16:37,520 --> 00:16:38,400 Speaker 6: the country. 324 00:16:38,480 --> 00:16:42,160 Speaker 2: What's the company saying these days? What's mister Farley saying 325 00:16:42,200 --> 00:16:45,080 Speaker 2: about electric vehicles? Because this is an industry here in 326 00:16:45,120 --> 00:16:49,320 Speaker 2: the US that kind of went aggressively at some point 327 00:16:49,400 --> 00:16:51,000 Speaker 2: time when it seemed like that's really where the world 328 00:16:51,080 --> 00:16:53,320 Speaker 2: was going. They cost a lot of money, they've lost 329 00:16:53,320 --> 00:16:54,680 Speaker 2: a lot of money. Now they've kind of pulled back 330 00:16:54,680 --> 00:16:55,120 Speaker 2: a little bit. 331 00:16:55,240 --> 00:16:56,200 Speaker 7: Well, yeah, where's Ford. 332 00:16:56,440 --> 00:16:59,240 Speaker 6: I mean, they lost almost five billion dollars last year 333 00:16:59,280 --> 00:17:03,480 Speaker 6: on ev and they're fixing to lose another four billion 334 00:17:03,520 --> 00:17:03,960 Speaker 6: this year. 335 00:17:04,080 --> 00:17:07,080 Speaker 8: About they've really pulled back from evs. 336 00:17:07,160 --> 00:17:12,040 Speaker 6: And as an example, they built a battery factory in Marshall, 337 00:17:12,040 --> 00:17:16,440 Speaker 6: Michigan with c at L with a Chinese battery manufacturer, 338 00:17:17,520 --> 00:17:21,000 Speaker 6: and they're they're going to produce about twenty gigawatts of 339 00:17:21,080 --> 00:17:24,320 Speaker 6: power a year there, but not aiming it as much 340 00:17:24,400 --> 00:17:27,359 Speaker 6: at car batteries anymore as they are at giant data 341 00:17:27,440 --> 00:17:29,720 Speaker 6: storage batteries. So these are gonna be like the size 342 00:17:29,720 --> 00:17:34,240 Speaker 6: of a shipping container. And if you're putting up like 343 00:17:34,240 --> 00:17:37,639 Speaker 6: a gigawat data center, you're gonna need to buy like 344 00:17:37,720 --> 00:17:41,239 Speaker 6: forty or fifty of these things to hold power in 345 00:17:41,280 --> 00:17:44,560 Speaker 6: case your original power source has a glitch or needs 346 00:17:44,560 --> 00:17:47,160 Speaker 6: to get change changed over or whatever. They've already got 347 00:17:47,160 --> 00:17:51,119 Speaker 6: a big deal with EDF of the US and I 348 00:17:51,160 --> 00:17:53,480 Speaker 6: asked him, you know, are you making deals with hyperscalers 349 00:17:53,480 --> 00:17:56,440 Speaker 6: like Meta, like Google, like Amazon? And he said that's 350 00:17:56,480 --> 00:17:58,160 Speaker 6: you know, the direction that they're headed, and they're really 351 00:17:58,160 --> 00:18:01,560 Speaker 6: excited about it. That's an unexpected tailwind for this company 352 00:18:01,720 --> 00:18:04,000 Speaker 6: and one of the reasons that their stock has outperformed 353 00:18:04,080 --> 00:18:07,879 Speaker 6: every single competitor in terms of the major company all 354 00:18:07,920 --> 00:18:08,520 Speaker 6: the way around. 355 00:18:08,320 --> 00:18:10,680 Speaker 5: An incredible comeback story. Is the F one fifty still 356 00:18:10,720 --> 00:18:12,000 Speaker 5: the best selling truck in the US? 357 00:18:12,200 --> 00:18:13,160 Speaker 8: Well, the F series. 358 00:18:13,240 --> 00:18:16,080 Speaker 6: It's important to say the F series because that encompasses 359 00:18:16,440 --> 00:18:19,320 Speaker 6: the F one, fifty two, fifty three, fifty four, fifty six, 360 00:18:19,400 --> 00:18:21,080 Speaker 6: fifty seven to fifty all. 361 00:18:21,160 --> 00:18:21,720 Speaker 3: All over it. 362 00:18:21,920 --> 00:18:24,520 Speaker 5: They have an ev as well, don't they, The Lightning? 363 00:18:24,640 --> 00:18:25,359 Speaker 9: Yeah, the Lightning. 364 00:18:25,480 --> 00:18:27,520 Speaker 8: Paul and I both have driven it. Paul, do you 365 00:18:27,520 --> 00:18:28,760 Speaker 8: think that, which is crazy. 366 00:18:28,600 --> 00:18:30,920 Speaker 5: Can also be a backup generator for your home? 367 00:18:31,000 --> 00:18:31,520 Speaker 3: Can do anything? 368 00:18:31,720 --> 00:18:32,600 Speaker 8: Exam thing it can? 369 00:18:32,760 --> 00:18:36,160 Speaker 6: In fact, you can switch it over your home over 370 00:18:36,320 --> 00:18:38,359 Speaker 6: the average home I think can run fully for like 371 00:18:38,400 --> 00:18:41,120 Speaker 6: three days on that. But that's another project from which 372 00:18:41,160 --> 00:18:43,399 Speaker 6: they really pulled back substantially. I mean, it was a 373 00:18:43,720 --> 00:18:45,359 Speaker 6: it was a fun car to drive, but it was 374 00:18:45,440 --> 00:18:48,040 Speaker 6: a It was a money loser for them, and the 375 00:18:48,119 --> 00:18:50,359 Speaker 6: depreciation hit is horrible for anyone who. 376 00:18:50,320 --> 00:18:52,159 Speaker 8: Actually bought one for full price. 377 00:18:53,000 --> 00:18:56,960 Speaker 6: The point is they are the biggest seller of American 378 00:18:56,960 --> 00:18:59,359 Speaker 6: trucks in terms of the F series nameplate. It sells 379 00:18:59,359 --> 00:19:04,480 Speaker 6: more than Sierra. It sells more than Silverado, although if 380 00:19:04,520 --> 00:19:08,399 Speaker 6: you were to combine GM and Silverado, Chevy Silverado and 381 00:19:08,440 --> 00:19:11,879 Speaker 6: GMC Sierra, then they actually outsell the app series. 382 00:19:13,160 --> 00:19:17,840 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 383 00:19:18,040 --> 00:19:22,000 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 384 00:19:22,200 --> 00:19:25,560 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 385 00:19:25,600 --> 00:19:29,439 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 386 00:19:29,480 --> 00:19:32,760 Speaker 1: can also watch us live every weekday on YouTube and 387 00:19:33,000 --> 00:19:34,920 Speaker 1: always on the Bloomberg terminal