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 Applecarplay 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 --> 00:00:23,120 Speaker 1: us live on YouTube. 6 00:00:23,600 --> 00:00:26,320 Speaker 2: Back to earnings under Armour shares. Let's take a look. 7 00:00:26,320 --> 00:00:30,320 Speaker 2: They are down eighteen percent. They forecast worse than expected 8 00:00:30,360 --> 00:00:32,720 Speaker 2: sales and profit for the current quarter. Here to break 9 00:00:32,760 --> 00:00:34,920 Speaker 2: it all down for us, as Poohim Goyle, senior US 10 00:00:34,960 --> 00:00:39,120 Speaker 2: e commerce and retail analysts at Bloomberg Intelligence poon em 11 00:00:39,159 --> 00:00:42,680 Speaker 2: thanks for coming out this morning. So weren't they just 12 00:00:42,760 --> 00:00:44,760 Speaker 2: I'm confused because it wasn't under Armour just starting to 13 00:00:45,080 --> 00:00:46,519 Speaker 2: make this turnaround planned. 14 00:00:47,680 --> 00:00:50,879 Speaker 3: Yeah, you know what, We've seen under Armour make several 15 00:00:50,960 --> 00:00:54,360 Speaker 3: attempts at a turnaround in the last decade. So this 16 00:00:54,440 --> 00:00:57,520 Speaker 3: is another attempt. And they do have the right pillars 17 00:00:57,560 --> 00:01:00,520 Speaker 3: in place, you know, focusing on brand equity, forocusing on 18 00:01:00,560 --> 00:01:04,560 Speaker 3: full price sales. The issue is that the macro's not cooperating. 19 00:01:04,920 --> 00:01:08,520 Speaker 3: We have one hundred million dollar impact on their costs 20 00:01:08,560 --> 00:01:11,920 Speaker 3: from tariffs that they're expecting. We're seeing that they want 21 00:01:11,959 --> 00:01:15,720 Speaker 3: to push full price in an environment where promotions are 22 00:01:15,720 --> 00:01:20,040 Speaker 3: picking up, so that's going to cost them sales net net. Basically, 23 00:01:20,080 --> 00:01:22,039 Speaker 3: that means that sales are going to be down mid 24 00:01:22,080 --> 00:01:25,160 Speaker 3: to high single digits in the next fiscal quarter, and 25 00:01:25,240 --> 00:01:28,920 Speaker 3: North America, which is a clear key region for them, 26 00:01:29,240 --> 00:01:32,640 Speaker 3: could be down low double digits. So the turnaround isn't 27 00:01:32,720 --> 00:01:35,560 Speaker 3: shaping up like we expected, and I just think it 28 00:01:35,600 --> 00:01:37,160 Speaker 3: needs a lot more time right now. 29 00:01:37,600 --> 00:01:39,680 Speaker 4: That is actually what caught my eye to the weak 30 00:01:39,720 --> 00:01:42,640 Speaker 4: North America outlook. I think they're forecasting a fourteen percent 31 00:01:42,680 --> 00:01:46,080 Speaker 4: to sixteen percent drop in North America sales, which is massive. 32 00:01:46,160 --> 00:01:48,720 Speaker 4: So what then, is your view of under Armour's strategy, 33 00:01:48,800 --> 00:01:52,120 Speaker 4: especially compared to its peers like Nike or Adidas or 34 00:01:52,160 --> 00:01:54,120 Speaker 4: Adidas depending on who you're speaking with. 35 00:01:55,160 --> 00:01:57,920 Speaker 3: Yeah, so I think each of them are pursuing the 36 00:01:57,960 --> 00:02:01,000 Speaker 3: strategy in a similar way in that they're focusing on 37 00:02:01,040 --> 00:02:03,760 Speaker 3: the profitable channels to drive growth. So when you look 38 00:02:03,760 --> 00:02:06,040 Speaker 3: at Adidas, you know they've been doing really well for 39 00:02:06,080 --> 00:02:09,240 Speaker 3: the last few years, and it's in part by their 40 00:02:09,280 --> 00:02:12,560 Speaker 3: effort to really push innovation and product to the consumer 41 00:02:12,919 --> 00:02:16,160 Speaker 3: in the right channels, and really they've done a great 42 00:02:16,240 --> 00:02:19,640 Speaker 3: job When it comes to Nike, they're clearly in turnaround mode. 43 00:02:20,160 --> 00:02:23,240 Speaker 3: They are moving forward with their turnaround. We are starting 44 00:02:23,240 --> 00:02:26,880 Speaker 3: to see signs of you know, things getting better, especially 45 00:02:26,919 --> 00:02:30,240 Speaker 3: on their new products. That said, Nike hasn't reported yet. 46 00:02:30,240 --> 00:02:33,520 Speaker 3: And Nike too has exposure to Vietnam when it comes 47 00:02:33,560 --> 00:02:36,840 Speaker 3: to their production, so they will to be under pressure. 48 00:02:36,919 --> 00:02:39,160 Speaker 3: But we don't think that promotions go away completely. 49 00:02:39,200 --> 00:02:39,320 Speaker 2: Right. 50 00:02:39,400 --> 00:02:42,200 Speaker 3: Nike is liquidating a lot of inventory throats direct channel 51 00:02:42,400 --> 00:02:45,079 Speaker 3: and the promotions are very high. So when you think 52 00:02:45,120 --> 00:02:48,480 Speaker 3: about the customer, they're going to see Nike being discounted 53 00:02:48,560 --> 00:02:52,160 Speaker 3: aggressively because they're trying to liquidate inventory, and then you 54 00:02:52,200 --> 00:02:55,000 Speaker 3: see under Armour going at full price what our customer 55 00:02:55,080 --> 00:02:58,160 Speaker 3: is going to buy, right, it just means that under 56 00:02:58,240 --> 00:03:00,720 Speaker 3: Armour isn't going to be able to delay over the 57 00:03:00,760 --> 00:03:04,040 Speaker 3: growth that they're expecting to because of the current promotional environment. 58 00:03:04,440 --> 00:03:06,440 Speaker 2: So with that said, I mean, the CEO was talking 59 00:03:06,600 --> 00:03:09,520 Speaker 2: and said that they want to focus on strengthening the brand, 60 00:03:09,520 --> 00:03:12,320 Speaker 2: positioning right premium products. They came out with this U 61 00:03:12,360 --> 00:03:16,120 Speaker 2: a halo footwear you know line, is that the answer 62 00:03:16,160 --> 00:03:16,919 Speaker 2: for them? 63 00:03:17,680 --> 00:03:20,840 Speaker 3: The answer is, in part, yes, you need to have 64 00:03:20,919 --> 00:03:22,560 Speaker 3: you know what he talked about on the call, which 65 00:03:22,560 --> 00:03:24,080 Speaker 3: I think every brand needs to do, is they need 66 00:03:24,120 --> 00:03:26,720 Speaker 3: to have a good, better, best positioning within their product lineup. 67 00:03:26,960 --> 00:03:29,720 Speaker 3: So yes, you can go ahead and introduce premium product, 68 00:03:29,919 --> 00:03:33,359 Speaker 3: but remember under Armour isn't really viewed as a premium 69 00:03:33,360 --> 00:03:36,120 Speaker 3: brand like Nike is, right, So you're trying to change 70 00:03:36,160 --> 00:03:39,160 Speaker 3: customer perception here, and that doesn't happen overnight, so it'll 71 00:03:39,160 --> 00:03:42,800 Speaker 3: take time. I think the value chained that under Our 72 00:03:42,840 --> 00:03:45,520 Speaker 3: plays and is still very very important to their brand 73 00:03:45,960 --> 00:03:48,720 Speaker 3: and their ability to keep prices low there is going 74 00:03:48,760 --> 00:03:51,280 Speaker 3: to be critical. It'll be nice to see what they 75 00:03:51,280 --> 00:03:53,120 Speaker 3: do on the premium side, but I don't think they 76 00:03:53,120 --> 00:03:56,200 Speaker 3: can hang their hat on that for a turnaround just yet. 77 00:03:57,080 --> 00:03:59,440 Speaker 2: All right, you said it all. Under Armour share still 78 00:03:59,560 --> 00:04:02,760 Speaker 2: down nineteen percent. That's Punam Gooyle, senior US e Commerce 79 00:04:02,760 --> 00:04:06,320 Speaker 2: and retail analysts Over at Bloomberg Intelligence. 80 00:04:08,120 --> 00:04:11,800 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 81 00:04:11,880 --> 00:04:15,240 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 82 00:04:15,360 --> 00:04:18,440 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 83 00:04:18,480 --> 00:04:21,960 Speaker 1: get your podcasts, or watch us live on YouTube. 84 00:04:21,920 --> 00:04:24,680 Speaker 2: And welcome back to Bloomberg Intelligence. I'm Lisa Matteo sitting 85 00:04:24,720 --> 00:04:28,719 Speaker 2: alongside Isabelle Lee. Paul Sweeney has the day off. All right, 86 00:04:28,760 --> 00:04:31,480 Speaker 2: we're going to get back to earnings. Wendy's cut their 87 00:04:31,520 --> 00:04:34,359 Speaker 2: full year sales guidance. They posted a bigger than expected 88 00:04:34,400 --> 00:04:38,680 Speaker 2: quarterly decline. So what is going on at the burger chain. Well, 89 00:04:38,839 --> 00:04:41,800 Speaker 2: let's bring in Michael Hallin. He's Bloomberg Intelligence senior restaurant 90 00:04:41,880 --> 00:04:46,560 Speaker 2: and food service analysts joining us live from Princeton. Mike's 91 00:04:46,600 --> 00:04:49,839 Speaker 2: thanks for coming in. What can you tell us about Wendy's. 92 00:04:49,839 --> 00:04:53,360 Speaker 2: What was the big sticking point for them? 93 00:04:53,600 --> 00:04:58,400 Speaker 5: Oh, listen, the previous management team through a lot of 94 00:04:58,480 --> 00:05:03,000 Speaker 5: promotions at the wall and none of them are really stuck. 95 00:05:03,120 --> 00:05:07,479 Speaker 5: So you know, the danger of you know, promoting a 96 00:05:07,480 --> 00:05:10,760 Speaker 5: lot of different products is twofold. 97 00:05:10,279 --> 00:05:10,440 Speaker 2: You know. 98 00:05:10,680 --> 00:05:14,320 Speaker 5: Number one, it makes the operations suffer, right, So it's 99 00:05:14,360 --> 00:05:17,160 Speaker 5: it's harder to execute in the kitchens, it's harder to 100 00:05:17,240 --> 00:05:20,080 Speaker 5: execute at the front of the house. Speed of service 101 00:05:20,160 --> 00:05:23,039 Speaker 5: ends up slipping, you know, quality of the food could 102 00:05:23,160 --> 00:05:26,360 Speaker 5: suffer because it's it's not served hot, right, and then 103 00:05:26,440 --> 00:05:30,120 Speaker 5: marketing so consumers get confused, right, Like what we saw 104 00:05:30,120 --> 00:05:33,280 Speaker 5: at McDonald's was run two promotions over the quarter, right, 105 00:05:33,400 --> 00:05:37,880 Speaker 5: Wendy's ran a handful. So when you're putting what do 106 00:05:37,920 --> 00:05:39,400 Speaker 5: you put the marketing dollars behind? 107 00:05:39,480 --> 00:05:39,640 Speaker 6: Right? 108 00:05:39,680 --> 00:05:41,760 Speaker 5: But if you start promoting something for a couple of 109 00:05:41,760 --> 00:05:45,719 Speaker 5: weeks and then switch your message, people don't really know 110 00:05:45,839 --> 00:05:48,200 Speaker 5: why they're coming to your store, don't have a good 111 00:05:48,240 --> 00:05:50,719 Speaker 5: reason to come to your stores. And so that's why 112 00:05:50,760 --> 00:05:53,599 Speaker 5: we saw this massive underperformance in the second quarter, about 113 00:05:53,600 --> 00:05:56,880 Speaker 5: four hundred basis points versus the rest of quick service restaurants. 114 00:05:57,279 --> 00:05:59,760 Speaker 4: And what is your take on when they's decision to 115 00:05:59,800 --> 00:06:02,799 Speaker 4: cut it's twenty twenty five EPs outlook below the prior 116 00:06:02,920 --> 00:06:07,200 Speaker 4: range and analyst expectation. Is it more structural weakness like 117 00:06:07,240 --> 00:06:09,760 Speaker 4: consumer trends or is it really more one off pressures 118 00:06:09,839 --> 00:06:12,320 Speaker 4: and how long do you think those issues might last? 119 00:06:13,360 --> 00:06:15,400 Speaker 5: So this is one off pressures. I mean you saw 120 00:06:15,480 --> 00:06:18,760 Speaker 5: McDonald's outperform the market by two hundred basis points, right, 121 00:06:18,800 --> 00:06:24,159 Speaker 5: and so this is primarily self inflicted. You know, restaurant 122 00:06:24,200 --> 00:06:28,240 Speaker 5: consumers are spending money. They're more discerning, however, right, and 123 00:06:28,279 --> 00:06:31,800 Speaker 5: so the chains that are providing a good, consistent experience, 124 00:06:31,880 --> 00:06:34,239 Speaker 5: good value for the money, that's where people are spending 125 00:06:34,240 --> 00:06:35,800 Speaker 5: their money. They don't want to go out and spend 126 00:06:35,880 --> 00:06:38,279 Speaker 5: a lot of money and have a bad night, a 127 00:06:38,360 --> 00:06:41,080 Speaker 5: bad lunch, a bad dinner, whatever it is, right, And 128 00:06:41,160 --> 00:06:44,840 Speaker 5: so that's why we're seeing this huge bifurcation and there's 129 00:06:44,880 --> 00:06:49,360 Speaker 5: a widening gap between winners and losers. And so for Wendys, 130 00:06:49,720 --> 00:06:52,400 Speaker 5: when you have bad operations, right, and when you have 131 00:06:52,520 --> 00:06:57,800 Speaker 5: bad service, it takes time to regain that customer trust. So, 132 00:06:58,200 --> 00:07:00,839 Speaker 5: you know, they got it to pretty terrible SAMSAR sales 133 00:07:00,880 --> 00:07:02,920 Speaker 5: here in the US for the rest of the year. 134 00:07:03,520 --> 00:07:06,560 Speaker 5: They were down five to six percent in July, which 135 00:07:06,600 --> 00:07:11,840 Speaker 5: is a horrific number, you know, way underperforming. The street, 136 00:07:11,880 --> 00:07:14,240 Speaker 5: which is over was just about a one and a 137 00:07:14,280 --> 00:07:18,160 Speaker 5: half percent increase. So this is going to take time to. 138 00:07:18,120 --> 00:07:21,640 Speaker 2: Fix now, Mike. One of the things you mentioned these promotions, right, 139 00:07:21,640 --> 00:07:25,440 Speaker 2: but Wendy's has also done things like expanded their operating hours. 140 00:07:25,480 --> 00:07:25,600 Speaker 4: Right. 141 00:07:25,640 --> 00:07:30,280 Speaker 2: They're making this push for breakfast late night business. I'm 142 00:07:30,280 --> 00:07:33,160 Speaker 2: guessing that's not working. I don't think breakfast when I 143 00:07:33,200 --> 00:07:34,000 Speaker 2: think Wendy's. 144 00:07:34,200 --> 00:07:38,320 Speaker 5: I don't know, Well, this breakfast has been an issue 145 00:07:38,440 --> 00:07:41,680 Speaker 5: for years now since they debuted it right there, and 146 00:07:41,720 --> 00:07:44,920 Speaker 5: they debuted breakfast into it, you know, at a time 147 00:07:44,960 --> 00:07:47,480 Speaker 5: when breakfast sales have been slipping, and they're slipping even 148 00:07:47,600 --> 00:07:50,720 Speaker 5: more this year because it's just an easy meal to skip. 149 00:07:50,760 --> 00:07:53,640 Speaker 5: You can grab a bagel and a coffee and easily 150 00:07:53,680 --> 00:07:58,520 Speaker 5: make it to lunch, right, And so they've been trying 151 00:07:58,600 --> 00:08:01,400 Speaker 5: to gain steam in this daypart, and so they've been 152 00:08:01,480 --> 00:08:05,080 Speaker 5: actually spending corporate dollars in addition to the franchise e 153 00:08:05,200 --> 00:08:08,240 Speaker 5: dollars to try to expand that day part at a 154 00:08:08,280 --> 00:08:11,160 Speaker 5: time when people are pulling back at breakfast and it's 155 00:08:11,160 --> 00:08:13,480 Speaker 5: been a disaster for their lunch and their dinner business. 156 00:08:14,080 --> 00:08:17,320 Speaker 4: And Wendy has also reduced his dividends significantly, and it's 157 00:08:17,360 --> 00:08:19,920 Speaker 4: CEO is also stepping down. So how do you think 158 00:08:20,080 --> 00:08:24,239 Speaker 4: these capital allocation and leadership changes might affect the strategy 159 00:08:24,360 --> 00:08:24,960 Speaker 4: moving forward? 160 00:08:26,560 --> 00:08:29,880 Speaker 5: Yeah, Kirk Tanner basically lit this thing on fire and 161 00:08:29,960 --> 00:08:33,000 Speaker 5: ran for the exits. It's you know, he made a 162 00:08:33,040 --> 00:08:37,280 Speaker 5: lot of management switches, moved a lot of people around 163 00:08:37,360 --> 00:08:40,920 Speaker 5: the organization, fired people, brought new people in, you know, 164 00:08:41,200 --> 00:08:44,520 Speaker 5: and then left right before things fell apart. Right, And 165 00:08:44,559 --> 00:08:47,360 Speaker 5: now they have an interim CEO who said the right 166 00:08:47,400 --> 00:08:50,439 Speaker 5: things on the call, right, But he comes from ups 167 00:08:50,559 --> 00:08:53,200 Speaker 5: and he's only been in the restaurant industry since December, right, 168 00:08:53,280 --> 00:08:56,320 Speaker 5: so there's definitely a void at the top. We would 169 00:08:56,400 --> 00:09:00,720 Speaker 5: love to see them find a good, strong restaurant operator 170 00:09:00,720 --> 00:09:03,600 Speaker 5: slash marketer to run this business going forward. 171 00:09:04,120 --> 00:09:06,080 Speaker 2: So what's the winning formula for them? What do they 172 00:09:06,080 --> 00:09:06,440 Speaker 2: have to do? 173 00:09:06,520 --> 00:09:06,760 Speaker 6: Is it? 174 00:09:06,840 --> 00:09:09,559 Speaker 2: Is it more promotions and more collaborations. 175 00:09:11,120 --> 00:09:14,120 Speaker 5: No, there's too many of those, So they're going to 176 00:09:14,160 --> 00:09:15,880 Speaker 5: cut They're going to cut back on them and get 177 00:09:15,920 --> 00:09:19,720 Speaker 5: the operations right right. And once you get the operations right, 178 00:09:19,800 --> 00:09:22,520 Speaker 5: meaning people go and they have a good experience, speed 179 00:09:22,559 --> 00:09:26,440 Speaker 5: of service is on point right, the food gets to 180 00:09:26,480 --> 00:09:29,920 Speaker 5: you hot right, you have a good, enjoyable experience. Once 181 00:09:30,000 --> 00:09:33,480 Speaker 5: they get that stuff nailed, then they can start pushing 182 00:09:33,520 --> 00:09:35,440 Speaker 5: on the marketing right, because you don't want people to 183 00:09:35,440 --> 00:09:38,160 Speaker 5: come back to your restaurants and then have another bad experience. 184 00:09:38,760 --> 00:09:41,280 Speaker 5: Then you're really going to be up the creek without 185 00:09:41,280 --> 00:09:43,920 Speaker 5: a paddle, right, And so that that's what it's going 186 00:09:43,960 --> 00:09:46,479 Speaker 5: to be about. It's going to be about nailing the operations. 187 00:09:46,920 --> 00:09:49,600 Speaker 5: Then once they're confident in that, then they can start 188 00:09:49,640 --> 00:09:56,120 Speaker 5: pressing more, do some more collaborations, whatever, institute more menu items, 189 00:09:56,120 --> 00:09:57,720 Speaker 5: and that's what management talked about on the call, they 190 00:09:57,720 --> 00:09:59,360 Speaker 5: said they're going to push a lot of the initiatives 191 00:09:59,400 --> 00:10:02,280 Speaker 5: they had original only planned for the second half into 192 00:10:02,280 --> 00:10:04,680 Speaker 5: twenty twenty six. But you know, it was a crazy call. 193 00:10:04,720 --> 00:10:06,520 Speaker 5: I mean they were talking about how a lot of 194 00:10:06,559 --> 00:10:10,000 Speaker 5: these initiatives they were just basically pushing out with very 195 00:10:10,040 --> 00:10:13,000 Speaker 5: little testing, which is not how you run a restaurant business. 196 00:10:13,200 --> 00:10:16,360 Speaker 2: It's not I remember that Taki's collapse. They just didn't 197 00:10:16,520 --> 00:10:19,240 Speaker 2: work out. Thank you Michael Hammon for joining us, the 198 00:10:19,280 --> 00:10:23,559 Speaker 2: Bloomberg Intelligence senior Restaurant and food service analyst. 199 00:10:25,040 --> 00:10:28,720 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 200 00:10:28,800 --> 00:10:32,199 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 201 00:10:32,280 --> 00:10:35,360 Speaker 1: with the Bloomberg Business app, Listen on demand wherever you 202 00:10:35,400 --> 00:10:38,400 Speaker 1: get your podcasts, or watch us live on YouTube. 203 00:10:39,040 --> 00:10:41,520 Speaker 2: There has been a ton of stories in tech and 204 00:10:41,600 --> 00:10:43,839 Speaker 2: the news flow is continuing. I want to start with 205 00:10:43,880 --> 00:10:46,320 Speaker 2: this first one, Meta picking up Pimko blue out for 206 00:10:46,320 --> 00:10:49,200 Speaker 2: a twenty nine billion dollar data center deal. So here 207 00:10:49,200 --> 00:10:51,560 Speaker 2: to talk more about it, Man Deep Sink, Bloomberg Intelligence 208 00:10:51,640 --> 00:10:54,720 Speaker 2: senior Tech industry analysts, Mandy, thanks for joining us. So 209 00:10:54,920 --> 00:10:57,960 Speaker 2: twenty nine billion dollar data center deal. I mean that's 210 00:10:58,000 --> 00:10:58,719 Speaker 2: that's pretty big. 211 00:10:58,800 --> 00:11:02,160 Speaker 6: No, it's only if you don't look at their twenty 212 00:11:02,200 --> 00:11:04,920 Speaker 6: twenty six CAPEX number, which could be north of one 213 00:11:04,960 --> 00:11:09,600 Speaker 6: hundred billion. So look, the numbers are getting bigger and 214 00:11:09,640 --> 00:11:13,040 Speaker 6: bigger in the world of AI infrastructure. And for a 215 00:11:13,080 --> 00:11:17,360 Speaker 6: company like Meta, which was spending maybe thirty billion dollars 216 00:11:17,400 --> 00:11:21,559 Speaker 6: in capex every year and has tripled its capex probably 217 00:11:21,559 --> 00:11:26,680 Speaker 6: two one hundred plus next year, they need some external 218 00:11:26,720 --> 00:11:29,760 Speaker 6: help when it comes to you know, procuring the land, 219 00:11:30,440 --> 00:11:33,400 Speaker 6: getting power twenty four to seven. I mean, at the 220 00:11:33,480 --> 00:11:37,199 Speaker 6: end of the day, Meta is an application company that 221 00:11:37,480 --> 00:11:40,640 Speaker 6: you know does ads, and they're trying to get in 222 00:11:40,760 --> 00:11:44,520 Speaker 6: their own chips as well, but that's not their core competency. 223 00:11:44,600 --> 00:11:47,720 Speaker 6: So it makes sense that you know, they're partnering with 224 00:11:48,880 --> 00:11:53,920 Speaker 6: these large players on the infrastructure side because it will 225 00:11:53,960 --> 00:11:56,160 Speaker 6: turn out to be a supercycle, and you know, the 226 00:11:56,160 --> 00:12:02,240 Speaker 6: more partners they have in terms of these AI infrastructure buildouts, 227 00:12:02,280 --> 00:12:04,320 Speaker 6: I think it will help them in the long term. 228 00:12:05,120 --> 00:12:08,400 Speaker 4: But is this kind of public private financial structure common 229 00:12:08,440 --> 00:12:11,560 Speaker 4: for large tech infrastructures like Meta? Are they pushing into 230 00:12:11,640 --> 00:12:13,960 Speaker 4: new ground and what are the benefits of using debt 231 00:12:14,040 --> 00:12:14,760 Speaker 4: versus equity? 232 00:12:15,360 --> 00:12:19,280 Speaker 6: Well, I mean now with one hundred billion dollar CAPEX, 233 00:12:19,600 --> 00:12:23,280 Speaker 6: it's more than their free cash flow every year. So 234 00:12:23,400 --> 00:12:26,440 Speaker 6: up until now, you know, we were in that thirty 235 00:12:26,440 --> 00:12:30,640 Speaker 6: to sixty billion dollar range. Metas annual free cash flow 236 00:12:31,000 --> 00:12:35,000 Speaker 6: is around seventy billions. So from that perspective, they could 237 00:12:35,000 --> 00:12:38,280 Speaker 6: afford to fund it on their own, I mean, because 238 00:12:38,360 --> 00:12:42,240 Speaker 6: the scale keeps getting bigger and bigger every year. And look, 239 00:12:42,480 --> 00:12:45,440 Speaker 6: others may have the same problem. Microsoft has also talked 240 00:12:45,440 --> 00:12:49,200 Speaker 6: about one hundred and twenty billion dollars run rate probably 241 00:12:49,240 --> 00:12:53,920 Speaker 6: in twenty twenty six as well. So external financing will 242 00:12:53,920 --> 00:12:57,680 Speaker 6: come into play because, as I said, these companies have 243 00:12:57,720 --> 00:13:03,800 Speaker 6: the lllms, they have the data, the algorithm, the applications, 244 00:13:04,240 --> 00:13:07,079 Speaker 6: but they don't have the expertise in terms of procuring 245 00:13:07,160 --> 00:13:10,000 Speaker 6: power twenty four to seven, and you need a lot 246 00:13:10,080 --> 00:13:14,679 Speaker 6: more power when it comes to AI scale that everyone 247 00:13:14,760 --> 00:13:17,440 Speaker 6: is imagining, you know, twelve months from now, twenty four 248 00:13:17,480 --> 00:13:22,480 Speaker 6: months from now. So from that perspective, also external expertise 249 00:13:22,559 --> 00:13:26,760 Speaker 6: in terms of procuring land, setting up large clusters, how 250 00:13:26,800 --> 00:13:29,520 Speaker 6: to power them, it does make sense that they have 251 00:13:29,760 --> 00:13:31,280 Speaker 6: a private partnership there. 252 00:13:31,320 --> 00:13:33,800 Speaker 2: Now, I always hear you're talking about capex, that's so 253 00:13:33,920 --> 00:13:36,280 Speaker 2: much je, But when are we going to rese that 254 00:13:36,320 --> 00:13:38,240 Speaker 2: point where peop are going to start saying, you know what, 255 00:13:38,600 --> 00:13:41,119 Speaker 2: where's my return on investment? Like, I see you're spending 256 00:13:41,240 --> 00:13:43,600 Speaker 2: you know this much? But when are people going to 257 00:13:43,600 --> 00:13:45,439 Speaker 2: start to turn the question a little bit? 258 00:13:45,800 --> 00:13:49,360 Speaker 6: So I mean, look at how far open ai and 259 00:13:49,520 --> 00:13:52,520 Speaker 6: Nthropic have come. Right, So we know with open ai 260 00:13:53,000 --> 00:13:56,040 Speaker 6: they are at a twelve billion dollar and we'll run 261 00:13:56,160 --> 00:13:59,120 Speaker 6: rate now revenue run rate, and Thropic has five x. 262 00:13:59,520 --> 00:14:01,439 Speaker 6: It went from one billion at the start of the 263 00:14:01,520 --> 00:14:05,400 Speaker 6: year to five billion dollar rund rate. Look at Microsoft's 264 00:14:05,600 --> 00:14:09,000 Speaker 6: cloud growth number. They went to thirty nine percent growth 265 00:14:09,000 --> 00:14:14,000 Speaker 6: in Azure, seventeen percent left from AI. So look, you're 266 00:14:14,000 --> 00:14:17,120 Speaker 6: not going to see a very clear distinction between what 267 00:14:17,480 --> 00:14:21,840 Speaker 6: is the AI contribution. In the case of Microsoft, it's 268 00:14:21,960 --> 00:14:26,880 Speaker 6: very clear. But for Meta, they talked about their ads 269 00:14:26,920 --> 00:14:29,960 Speaker 6: getting better, and when you look at the growth rates, 270 00:14:30,040 --> 00:14:32,600 Speaker 6: Meta grew twenty two percent in the quarter. Compare that 271 00:14:32,640 --> 00:14:37,480 Speaker 6: to Snapchat four percent Pinterest and these are companies that 272 00:14:37,560 --> 00:14:40,960 Speaker 6: are fifty times smaller in scale than Meta. So the 273 00:14:41,040 --> 00:14:45,200 Speaker 6: fact that Meta is growing that fast, they're sort of 274 00:14:46,040 --> 00:14:49,560 Speaker 6: proving to everyone that, look, there is an advantage to 275 00:14:49,800 --> 00:14:53,960 Speaker 6: owning the infrastructure to investment in AI. And even though 276 00:14:54,240 --> 00:14:57,160 Speaker 6: the model is not similar to a Microsoft where they 277 00:14:57,160 --> 00:15:00,520 Speaker 6: are renting the cloud capacity and it's an old reredictable 278 00:15:00,560 --> 00:15:03,880 Speaker 6: revenue stream meta, I think has a higher bar to 279 00:15:03,960 --> 00:15:09,520 Speaker 6: prove in terms of your ROI question. But clearly, I 280 00:15:09,560 --> 00:15:12,280 Speaker 6: think the fact that they did so well this earnings 281 00:15:13,000 --> 00:15:15,000 Speaker 6: they already have an upper hand when it comes to 282 00:15:15,040 --> 00:15:16,000 Speaker 6: digital ads. 283 00:15:16,400 --> 00:15:18,040 Speaker 4: What about when it comes to soft Bank and the 284 00:15:18,080 --> 00:15:21,480 Speaker 4: Stargate AI push. What's significance of soft Bank buying the 285 00:15:21,520 --> 00:15:24,800 Speaker 4: fox Con plant in Ohio and can you talk about 286 00:15:24,960 --> 00:15:26,960 Speaker 4: their bigger ambitions for AI? 287 00:15:27,320 --> 00:15:31,600 Speaker 6: I mean soft Bank also has a big announcement from 288 00:15:31,640 --> 00:15:33,760 Speaker 6: earlier in the year, you know, five hundred billion up 289 00:15:33,800 --> 00:15:37,080 Speaker 6: to five hundred billion dollars in investment. So all these 290 00:15:37,080 --> 00:15:40,240 Speaker 6: companies have to figure out how is it that they're 291 00:15:40,240 --> 00:15:42,440 Speaker 6: going to deploy the money. So in the case of 292 00:15:43,160 --> 00:15:47,000 Speaker 6: soft Bank, I mean, they either partner with TSMC or 293 00:15:47,240 --> 00:15:51,160 Speaker 6: fox Con because they don't assemble their own chips. They 294 00:15:51,200 --> 00:15:55,160 Speaker 6: don't do, you know, semiconductor manufacturing, So partnering makes a 295 00:15:55,160 --> 00:15:58,200 Speaker 6: ton of sense here in the United States. And that's 296 00:15:58,240 --> 00:16:01,120 Speaker 6: where that five hundred billion dollar number you can show 297 00:16:01,200 --> 00:16:03,720 Speaker 6: that this is how much I deployed this year, and 298 00:16:05,240 --> 00:16:07,600 Speaker 6: it kind of shows your roadmap for the following years 299 00:16:07,600 --> 00:16:10,680 Speaker 6: as well, because now that you're investing in one facility, 300 00:16:11,000 --> 00:16:14,040 Speaker 6: chances are you'll probably add to that next year and 301 00:16:14,120 --> 00:16:14,480 Speaker 6: so on. 302 00:16:15,040 --> 00:16:17,400 Speaker 2: All right, man deep Sing, Always a pleasure. Glad to 303 00:16:17,400 --> 00:16:19,400 Speaker 2: have you here in the studio. Bloomberg Intelligence, senior tech 304 00:16:19,400 --> 00:16:22,560 Speaker 2: industry analyst on the latest tech announcement. 305 00:16:24,400 --> 00:16:28,080 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 306 00:16:28,160 --> 00:16:31,280 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 307 00:16:31,280 --> 00:16:34,600 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 308 00:16:34,640 --> 00:16:37,760 Speaker 1: you get your podcasts, or watch us live on YouTube. 309 00:16:38,120 --> 00:16:40,600 Speaker 2: All eyes have been on the Central Bank and interest rates, right, 310 00:16:40,680 --> 00:16:43,000 Speaker 2: but there's a new book out. It's taking a look 311 00:16:43,040 --> 00:16:46,680 Speaker 2: into how decisions behind the fit, the ECB, etc. They're 312 00:16:46,800 --> 00:16:51,600 Speaker 2: constrained by the natural rate of interest. So what exactly 313 00:16:51,800 --> 00:16:53,160 Speaker 2: is this? What we're going to do is go to 314 00:16:53,200 --> 00:16:57,040 Speaker 2: the expert. Is Tom Orlick, Bloomberg Economists chief ecomomist joins 315 00:16:57,080 --> 00:17:00,400 Speaker 2: us from DC. Thanks for joining us, tom So. The 316 00:17:00,440 --> 00:17:02,880 Speaker 2: book is called The Price of Money, A Guide to 317 00:17:02,920 --> 00:17:06,400 Speaker 2: the past, present and future of the rate Natural rate 318 00:17:06,440 --> 00:17:08,879 Speaker 2: of Interest. I got to start by asking you, what 319 00:17:09,040 --> 00:17:11,399 Speaker 2: exactly is this, this natural rate of interest? 320 00:17:12,600 --> 00:17:16,080 Speaker 7: So thanks for having me on, Lisa. So the natural 321 00:17:16,240 --> 00:17:20,080 Speaker 7: rate of interest, it's kind of a won key concept, right, 322 00:17:20,880 --> 00:17:24,199 Speaker 7: but if you're an investor in the treasury market, if 323 00:17:24,200 --> 00:17:26,679 Speaker 7: you're an investor in the equity market, if you're an 324 00:17:26,720 --> 00:17:31,399 Speaker 7: investor in the real estate market, it's pretty important. The 325 00:17:31,520 --> 00:17:34,320 Speaker 7: natural rate of interest is the rate of interest which 326 00:17:34,440 --> 00:17:39,040 Speaker 7: balances the supply of saving and the demand for investment 327 00:17:39,520 --> 00:17:42,720 Speaker 7: in the economy. And for a long time, from the 328 00:17:42,800 --> 00:17:47,280 Speaker 7: nineteen eighties through the twenty tens, it was falling, right. 329 00:17:47,560 --> 00:17:51,960 Speaker 7: That's why Larry Summers was talking about secular stagnation. That's 330 00:17:52,000 --> 00:17:55,480 Speaker 7: why the US Treasury was borrowing at such low rates 331 00:17:55,920 --> 00:17:59,600 Speaker 7: for much of the last decade. The big argument that 332 00:17:59,640 --> 00:18:03,240 Speaker 7: we make in our book, a book with essays by 333 00:18:03,280 --> 00:18:08,920 Speaker 7: my colleagues at Bloomberg Economics, edited by Stephanie Flanders, Jamie Rush, 334 00:18:08,960 --> 00:18:12,160 Speaker 7: and myself, The big argument we make is that the 335 00:18:12,160 --> 00:18:16,119 Speaker 7: forces that were dragging interest rates down for much of 336 00:18:16,160 --> 00:18:20,200 Speaker 7: the last four decades have now reversed, and we now 337 00:18:20,280 --> 00:18:23,160 Speaker 7: have gone from a world where there's too much saving, 338 00:18:23,680 --> 00:18:27,399 Speaker 7: not enough investment, and so low interest rates to a 339 00:18:27,480 --> 00:18:32,000 Speaker 7: world where there's not enough saving, too much investment, and 340 00:18:32,040 --> 00:18:35,000 Speaker 7: so the US Treasury and everybody else is going to 341 00:18:35,040 --> 00:18:37,000 Speaker 7: be paying much more to borrow. 342 00:18:37,800 --> 00:18:41,359 Speaker 4: So what are the big forces among demographics, technology, and 343 00:18:41,440 --> 00:18:45,160 Speaker 4: geopolitics that you think will drive the natural rate higher 344 00:18:45,200 --> 00:18:46,920 Speaker 4: in the coming decade. 345 00:18:47,440 --> 00:18:50,240 Speaker 7: So it's a great question, Isabelle. So let's think about 346 00:18:50,640 --> 00:18:54,600 Speaker 7: what was dragging interest rates down. So first of all, 347 00:18:54,960 --> 00:18:58,960 Speaker 7: you had too much saving. The baby boomers were working 348 00:18:59,080 --> 00:19:04,480 Speaker 7: and saving money for their retirement. China, Saudi Arabia, other 349 00:19:04,520 --> 00:19:09,080 Speaker 7: petro states were pumping their savings into the US treasury market. 350 00:19:10,040 --> 00:19:13,560 Speaker 7: And then on the investment side, well, governments had their 351 00:19:13,560 --> 00:19:19,320 Speaker 7: debt under control, government deficits were low, and growth was weak, 352 00:19:19,480 --> 00:19:22,920 Speaker 7: which meant the private sector didn't have a huge incentive 353 00:19:22,960 --> 00:19:25,919 Speaker 7: to invest. So for a long time, from the nineteen 354 00:19:25,960 --> 00:19:29,600 Speaker 7: eighties to the twenty tens, the pattern was too much saving, 355 00:19:30,000 --> 00:19:35,120 Speaker 7: not enough investment, and falling interest rates. In the last decade, 356 00:19:35,200 --> 00:19:38,439 Speaker 7: all of those trends have started to reverse. The baby 357 00:19:38,440 --> 00:19:42,560 Speaker 7: boomers have retired, so they're not adding to their pensions, 358 00:19:42,560 --> 00:19:47,439 Speaker 7: they're spending their pensions down. China, Saudi Arabia, they're not 359 00:19:47,520 --> 00:19:51,679 Speaker 7: putting any money in the US treasury market anymore, and 360 00:19:51,880 --> 00:19:57,320 Speaker 7: US treasury borrowing has exploded. President Trump inherited a deficit 361 00:19:57,720 --> 00:20:00,800 Speaker 7: of six point four percent of GDP in twenty four 362 00:20:01,640 --> 00:20:06,080 Speaker 7: and with his One Big Beautiful Bill, threatens to send 363 00:20:06,119 --> 00:20:10,840 Speaker 7: that deficit higher. So the pattern is shifted from too 364 00:20:10,880 --> 00:20:16,040 Speaker 7: much saving, not enough investment, and falling interest rates to 365 00:20:16,200 --> 00:20:20,679 Speaker 7: not enough saving, too much investment and rising interest rates. 366 00:20:21,560 --> 00:20:24,720 Speaker 7: Donald Trump wants a new FED chair to cut the 367 00:20:24,760 --> 00:20:28,520 Speaker 7: short term policy rate. Even if he does that, we 368 00:20:28,640 --> 00:20:31,800 Speaker 7: think these big structural forces are going to keep longer 369 00:20:31,880 --> 00:20:35,159 Speaker 7: term borrowing costs elevated in the years ahead. 370 00:20:35,359 --> 00:20:37,440 Speaker 2: Yeah, and you mentioned that, So your book suggests that 371 00:20:37,520 --> 00:20:39,480 Speaker 2: it's not going to be that simple to just, you know, 372 00:20:39,560 --> 00:20:40,720 Speaker 2: get a new FED chair. 373 00:20:40,840 --> 00:20:45,119 Speaker 7: Correct, Yeah, that's right. So there's there's so much excitement 374 00:20:45,160 --> 00:20:47,560 Speaker 7: around the question of who the next FED chair is 375 00:20:47,600 --> 00:20:52,720 Speaker 7: going to be. Yesterday we had Stephen Myron, the head 376 00:20:52,760 --> 00:20:56,280 Speaker 7: of the Counsel of Economic Advisors, nominated to the FED Board. 377 00:20:57,080 --> 00:21:01,200 Speaker 7: There's talk that perhaps Kevin Hassett, the head of the NEEC, 378 00:21:01,800 --> 00:21:05,520 Speaker 7: perhaps Kevin Walsh, former member of the FMC, could be 379 00:21:05,560 --> 00:21:09,119 Speaker 7: the new FED chair. And the market is betting that 380 00:21:09,160 --> 00:21:11,959 Speaker 7: whoever it is is going to move the dial and 381 00:21:12,000 --> 00:21:16,640 Speaker 7: start delivering a lower FED policy rate. But guess what, 382 00:21:17,400 --> 00:21:21,840 Speaker 7: it's not the FED which has the determining force on 383 00:21:21,880 --> 00:21:25,040 Speaker 7: the cost of borrowing across the US economy. It's actually 384 00:21:25,320 --> 00:21:30,080 Speaker 7: those bigger dynamics, the balance between saving and investment. And 385 00:21:30,119 --> 00:21:32,080 Speaker 7: the big argument we make in our book is that 386 00:21:32,080 --> 00:21:35,200 Speaker 7: that balance has shifted, and so it doesn't matter who 387 00:21:35,200 --> 00:21:37,760 Speaker 7: the FED chair is, borrowing costs are going to be 388 00:21:37,800 --> 00:21:38,760 Speaker 7: structurally higher. 389 00:21:39,320 --> 00:21:41,239 Speaker 4: And you mentioned this earlier that if the cost of 390 00:21:41,240 --> 00:21:45,760 Speaker 4: money keep rising, what then should governments, businesses, and individuals 391 00:21:45,960 --> 00:21:48,200 Speaker 4: do differently to maybe adapt. 392 00:21:50,080 --> 00:21:54,440 Speaker 7: So let's think about what impact very low borrowing costs 393 00:21:54,440 --> 00:21:59,720 Speaker 7: have had in past decades. So first for governments, when 394 00:21:59,760 --> 00:22:03,439 Speaker 7: borrowing is cheap, then governments can keep on piling on 395 00:22:03,520 --> 00:22:09,639 Speaker 7: debt and it's still sustainable. Think about equity market investors 396 00:22:10,000 --> 00:22:13,359 Speaker 7: or property market investors. If you've put money to work 397 00:22:13,400 --> 00:22:15,919 Speaker 7: in the US stock market or in US real estate 398 00:22:16,200 --> 00:22:19,400 Speaker 7: pretty much anytime over the last four decades, you've made 399 00:22:19,480 --> 00:22:22,280 Speaker 7: quite a lot of money. And part of the reason 400 00:22:22,320 --> 00:22:25,280 Speaker 7: for that is that interest rates have been low, So 401 00:22:25,320 --> 00:22:29,040 Speaker 7: your cost of borrowing to make stock or property investments 402 00:22:29,080 --> 00:22:33,439 Speaker 7: has been low. Now, with interest rates rising, all of 403 00:22:33,440 --> 00:22:37,880 Speaker 7: those dynamics swing into reverse for the US, the US 404 00:22:38,000 --> 00:22:40,720 Speaker 7: Treasury could be facing a world in the years ahead 405 00:22:40,960 --> 00:22:44,320 Speaker 7: where the cost of interest payments on their debt is 406 00:22:44,400 --> 00:22:47,920 Speaker 7: more than total US spending on the military, on defense, 407 00:22:47,960 --> 00:22:51,879 Speaker 7: on the Pentagon. For investors in the stock market or 408 00:22:51,920 --> 00:22:56,520 Speaker 7: the equity market, that upward pressure on asset prices from 409 00:22:56,600 --> 00:23:00,040 Speaker 7: low interest rates, well, at a minimum, I think we 410 00:23:00,080 --> 00:23:03,159 Speaker 7: can say that's not going to be guaranteed going forwards, 411 00:23:03,760 --> 00:23:06,240 Speaker 7: and we could well be moving into a world where 412 00:23:06,280 --> 00:23:10,960 Speaker 7: structurally higher borrowing costs actually mean downward pressure on stocks, 413 00:23:11,200 --> 00:23:12,879 Speaker 7: downward pressure on real estate. 414 00:23:13,320 --> 00:23:15,719 Speaker 2: So, Tom, what can you tell us about You know, 415 00:23:15,800 --> 00:23:18,520 Speaker 2: where is the natural rate of injuries? Where is it headed? 416 00:23:20,600 --> 00:23:25,120 Speaker 7: So the focus of our book is on the natural 417 00:23:25,200 --> 00:23:31,560 Speaker 7: rate of the ten year horizon. Now we think it's 418 00:23:31,640 --> 00:23:37,119 Speaker 7: headed up from a low of below two percent in 419 00:23:37,200 --> 00:23:40,320 Speaker 7: the mid twenty tens to around two and a half 420 00:23:40,480 --> 00:23:45,800 Speaker 7: percent today, and it's going to continue edging higher in 421 00:23:45,880 --> 00:23:49,800 Speaker 7: the months and years ahead. Now, what does that mean 422 00:23:49,840 --> 00:23:53,040 Speaker 7: for the ten year treasury the rate, which is probably 423 00:23:53,080 --> 00:23:57,160 Speaker 7: the most important one in the whole global financial system. Well, 424 00:23:57,480 --> 00:23:59,920 Speaker 7: we think something in the four to five percent range, 425 00:24:00,359 --> 00:24:03,439 Speaker 7: something around four point five percent is going to be 426 00:24:03,480 --> 00:24:07,080 Speaker 7: the new normal in the years ahead, doesn't mean there 427 00:24:07,080 --> 00:24:10,439 Speaker 7: isn't going to be huge variation around that. If the 428 00:24:10,480 --> 00:24:13,679 Speaker 7: Fed cuts policy rates, if that becomes the narrative for 429 00:24:13,720 --> 00:24:16,920 Speaker 7: the next few months, it's going to impact long term 430 00:24:16,960 --> 00:24:20,640 Speaker 7: borrowing costs. But we think the new normal around which 431 00:24:20,680 --> 00:24:23,920 Speaker 7: we're going to be fluctuating in the months and years 432 00:24:23,920 --> 00:24:27,240 Speaker 7: ahead for the ten year treasury is around four point five. 433 00:24:27,080 --> 00:24:29,439 Speaker 4: Percent and we have less than one minute left. But 434 00:24:29,480 --> 00:24:32,760 Speaker 4: you mentioned risks like AI war and climate. Give us 435 00:24:32,760 --> 00:24:35,280 Speaker 4: a sense on how exactly those might drive up the 436 00:24:35,359 --> 00:24:36,040 Speaker 4: natural rate. 437 00:24:37,400 --> 00:24:42,080 Speaker 7: So maybe we'll just talk about the AI piece of it. So, AI, 438 00:24:42,600 --> 00:24:45,520 Speaker 7: if it delivers on its promise, is going to be 439 00:24:45,520 --> 00:24:49,280 Speaker 7: a game changer for growth. And if the economy starts 440 00:24:49,280 --> 00:24:52,800 Speaker 7: growing faster, well that's going to create all kinds of 441 00:24:52,840 --> 00:24:58,119 Speaker 7: investment opportunities. Investment in the data centers to power AI, 442 00:24:58,880 --> 00:25:03,400 Speaker 7: investment in re configuration of factories and offices to take 443 00:25:03,440 --> 00:25:08,640 Speaker 7: advantage of the new technology. And if investment demand goes up, 444 00:25:09,000 --> 00:25:13,040 Speaker 7: well that changes the saving investment balance and that will 445 00:25:13,119 --> 00:25:16,920 Speaker 7: be another force which adds pressure for interest rates to 446 00:25:17,040 --> 00:25:17,600 Speaker 7: rise higher. 447 00:25:17,920 --> 00:25:20,000 Speaker 2: All right, tom Orlick, thank you so much. Good look 448 00:25:20,040 --> 00:25:23,960 Speaker 2: at the book Boomberg Economics, Chief economist here at Bloomberg. 449 00:25:24,760 --> 00:25:29,480 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 450 00:25:29,640 --> 00:25:33,600 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 451 00:25:33,840 --> 00:25:37,119 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 452 00:25:37,200 --> 00:25:41,080 Speaker 1: iHeartRadio app tune In, and the Bloomberg Business app. You 453 00:25:41,080 --> 00:25:44,399 Speaker 1: can also watch us live every weekday on YouTube and 454 00:25:44,600 --> 00:25:46,560 Speaker 1: always on the Bloomberg terminal