1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:17,880 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,120 Speaker 1: or watch us live on YouTube. 6 00:00:23,760 --> 00:00:27,000 Speaker 2: It's yet another day of data center deals. 7 00:00:27,360 --> 00:00:29,680 Speaker 3: I feel like this is a never ending story here, 8 00:00:29,720 --> 00:00:31,800 Speaker 3: and it continues to propel the stock market higher. 9 00:00:31,800 --> 00:00:32,960 Speaker 2: And that's kind of what's happening here. 10 00:00:33,000 --> 00:00:35,400 Speaker 3: The nazak up one point three percent, the SMP five 11 00:00:35,479 --> 00:00:37,879 Speaker 3: hundred up one point one percent. So we need to 12 00:00:38,000 --> 00:00:41,800 Speaker 3: bring Caroline Hide, our BTech co anchor, in to our 13 00:00:41,800 --> 00:00:44,519 Speaker 3: New York studios here to kind of walk us through 14 00:00:44,560 --> 00:00:46,440 Speaker 3: some of the big stories. And I guess let's start 15 00:00:46,479 --> 00:00:48,960 Speaker 3: on the one that became official, which is black Rocks 16 00:00:49,040 --> 00:00:51,960 Speaker 3: GIP buying aligned data centers. 17 00:00:52,000 --> 00:00:54,080 Speaker 2: This is a forty billion dollar AI. 18 00:00:53,880 --> 00:00:56,880 Speaker 4: Bet, and to be fair, it's a lot more than Blackrock. 19 00:00:57,160 --> 00:00:59,959 Speaker 5: You've got Blackrock, but you've got MGX, which is Mamdala 20 00:01:00,520 --> 00:01:03,880 Speaker 5: AI investment company, part of that sovereign wealth fund focus 21 00:01:03,960 --> 00:01:06,360 Speaker 5: on AI. But you've got Microsoft in the mix, You've 22 00:01:06,360 --> 00:01:08,399 Speaker 5: got in video in the mix, You've got XAI in 23 00:01:08,440 --> 00:01:12,480 Speaker 5: the mix. Basically, anyone who likes financing data centers, or 24 00:01:12,560 --> 00:01:15,280 Speaker 5: needs access to data centers, or has some gpused to 25 00:01:15,319 --> 00:01:18,080 Speaker 5: put inside data centers seemingly wanted in on what was 26 00:01:18,120 --> 00:01:21,360 Speaker 5: the one hundred billion dollar get together pool of capital, 27 00:01:21,360 --> 00:01:23,160 Speaker 5: and this is their first chunk of change, forty billion 28 00:01:23,200 --> 00:01:26,000 Speaker 5: being committed to ALIGN data centers. It's over in Texas 29 00:01:26,280 --> 00:01:29,280 Speaker 5: and this was actually owned by mcquarie, a big Australian 30 00:01:29,319 --> 00:01:32,880 Speaker 5: infrastructure player, and they are now managing to sell off. 31 00:01:32,959 --> 00:01:36,760 Speaker 5: It's a huge campus you're thinking about operating in US 32 00:01:36,800 --> 00:01:39,840 Speaker 5: and indeed in South America Aligned they've got fifty campuses, 33 00:01:39,840 --> 00:01:41,360 Speaker 5: They've got seventy eight data centers. 34 00:01:41,480 --> 00:01:43,679 Speaker 4: But all of this is as we seem to have. 35 00:01:43,640 --> 00:01:47,319 Speaker 5: Insatiable demand for compute and therefore values go skyrocketing. 36 00:01:47,680 --> 00:01:51,080 Speaker 6: So your tech beek Caroline is always front center for 37 00:01:51,120 --> 00:01:54,120 Speaker 6: this market. It's even more so, certainly the last two 38 00:01:54,200 --> 00:01:56,120 Speaker 6: years with AI. It's even worse in the last two 39 00:01:56,160 --> 00:01:58,040 Speaker 6: weeks with a lot of these. 40 00:01:57,880 --> 00:02:00,280 Speaker 7: Circular deals that have been referred to circular. 41 00:02:01,720 --> 00:02:03,920 Speaker 6: Where people are investing in each other's companies and things 42 00:02:03,920 --> 00:02:06,280 Speaker 6: like that, and the dollar amounts are so huge. Are 43 00:02:06,320 --> 00:02:09,400 Speaker 6: your sources are they saying this feels a little frothy? 44 00:02:09,440 --> 00:02:10,320 Speaker 7: What are your sources help? 45 00:02:10,480 --> 00:02:12,440 Speaker 5: I think a lot of people are starting to put 46 00:02:12,440 --> 00:02:15,400 Speaker 5: the word bubble in the context of AI in infrastructure 47 00:02:15,440 --> 00:02:18,000 Speaker 5: right now. Look, you even have the CFO of City 48 00:02:18,040 --> 00:02:21,120 Speaker 5: Group yesterday talking about his anxiety when it comes to 49 00:02:21,160 --> 00:02:24,480 Speaker 5: potential frothiness in the AI market. You've had the global 50 00:02:24,560 --> 00:02:27,960 Speaker 5: certain manager's survey coming from Bank of America yesterday more 51 00:02:28,240 --> 00:02:30,760 Speaker 5: the most we've ever seen in terms of majority thinking 52 00:02:30,760 --> 00:02:34,399 Speaker 5: that these AI players are too highly valued. So certainly 53 00:02:34,560 --> 00:02:37,240 Speaker 5: the circularityuse people pause. We had a great fan manager 54 00:02:37,240 --> 00:02:39,799 Speaker 5: on just yesterday really saying, look, even though they think 55 00:02:39,840 --> 00:02:41,840 Speaker 5: in video is a bit even though today HSBC has 56 00:02:41,919 --> 00:02:44,680 Speaker 5: raised the price target on video to maybe putting this 57 00:02:44,720 --> 00:02:47,760 Speaker 5: at an eight trillion dollar company in the next twelve months, 58 00:02:48,080 --> 00:02:50,320 Speaker 5: but people do have pause when they're putting one hundred 59 00:02:50,360 --> 00:02:53,560 Speaker 5: billion dollars in equity investment into open Ai, basically so 60 00:02:53,639 --> 00:02:56,239 Speaker 5: that open ai can keep buying its own GPUs. You 61 00:02:56,360 --> 00:02:58,640 Speaker 5: see that happening over in Europe. Another key player that 62 00:02:58,639 --> 00:03:00,000 Speaker 5: we've got to keep an eye on is end Scale. 63 00:03:00,160 --> 00:03:03,639 Speaker 5: Letters is currently a private AI data center builder Outer 64 00:03:03,720 --> 00:03:06,160 Speaker 5: I might add they've never built one single AI data center. 65 00:03:06,200 --> 00:03:09,280 Speaker 5: But they were a cryptomnor that's pivoted and now they're 66 00:03:09,280 --> 00:03:12,640 Speaker 5: committing to doing four data center projects with Microsoft. But 67 00:03:12,880 --> 00:03:15,680 Speaker 5: n Scale of course got the tap the anointment from 68 00:03:15,720 --> 00:03:18,200 Speaker 5: Jensen when he went over to London saying I want 69 00:03:18,200 --> 00:03:20,920 Speaker 5: to back you in my equity because guess what, two 70 00:03:20,919 --> 00:03:22,919 Speaker 5: thousand GPUs are going to be offered in those. 71 00:03:22,760 --> 00:03:24,440 Speaker 4: Four projects to Microsoft. 72 00:03:24,600 --> 00:03:27,519 Speaker 5: So it just keeps on being this idea that ultimately 73 00:03:27,520 --> 00:03:29,720 Speaker 5: where are we getting the money from at the moment, 74 00:03:30,040 --> 00:03:32,200 Speaker 5: build it and they will come. Is a mentality we 75 00:03:32,280 --> 00:03:34,720 Speaker 5: need the infrastructure before you can really get the productivity games. 76 00:03:34,760 --> 00:03:36,200 Speaker 4: So in videos putting its cash to work. 77 00:03:36,280 --> 00:03:39,240 Speaker 3: Okay, So circular funding and yet another example of that. 78 00:03:39,680 --> 00:03:43,080 Speaker 3: So what I'm confused about is how some companies that 79 00:03:43,120 --> 00:03:45,560 Speaker 3: had indicated things would be kind of rough just a 80 00:03:45,560 --> 00:03:47,760 Speaker 3: few months ago had now turned around and are seeing 81 00:03:47,760 --> 00:03:52,120 Speaker 3: a completely different tune. ASML, which is a Dutch semiconductor 82 00:03:52,120 --> 00:03:56,000 Speaker 3: equipment maker, had warned that the the trade war the 83 00:03:56,160 --> 00:03:58,560 Speaker 3: terraf Sun China was going to be hurtful towards business. 84 00:03:58,880 --> 00:04:01,880 Speaker 3: Now it's completely like turn around and said, you know 85 00:04:01,960 --> 00:04:03,480 Speaker 3: what demands great. 86 00:04:03,920 --> 00:04:06,520 Speaker 5: Maybe they'll be able to eke out growth in twenty 87 00:04:06,600 --> 00:04:10,360 Speaker 5: twenty six. I think it's also our expectations for ASML 88 00:04:10,440 --> 00:04:12,360 Speaker 5: came down some. If you're looking at a quarter on 89 00:04:12,480 --> 00:04:16,120 Speaker 5: quarter basis, the sales and the bookings fell, it's because 90 00:04:16,240 --> 00:04:20,360 Speaker 5: China is so outsized in their revenue stream, and China's 91 00:04:20,400 --> 00:04:22,440 Speaker 5: going to start dialing back in twenty twenty six because 92 00:04:22,480 --> 00:04:25,080 Speaker 5: of the geopolitical issues and the fact that the US 93 00:04:25,200 --> 00:04:28,280 Speaker 5: is asking its neighbors and allies to stop allowing such 94 00:04:28,400 --> 00:04:29,960 Speaker 5: semiconductor equipment. 95 00:04:29,560 --> 00:04:30,200 Speaker 4: Into the nation. 96 00:04:30,279 --> 00:04:33,960 Speaker 5: And you just had the House China Committee saying once again, 97 00:04:34,000 --> 00:04:36,719 Speaker 5: we're worried about ASML, but also KLA and some of 98 00:04:36,760 --> 00:04:39,599 Speaker 5: the other US players. So I think that we are seeing, yes, 99 00:04:39,680 --> 00:04:43,360 Speaker 5: ASML managing to calm anxiety, that they will still see 100 00:04:43,400 --> 00:04:46,480 Speaker 5: growth from other pockets for these euv This is extreme 101 00:04:46,640 --> 00:04:47,920 Speaker 5: ultra violet lithography. 102 00:04:47,920 --> 00:04:50,000 Speaker 4: They're the only people that make. 103 00:04:49,880 --> 00:04:54,359 Speaker 5: This particular sophisticated equipment that is making your leading edge 104 00:04:55,000 --> 00:04:57,520 Speaker 5: chips that are going to be fueling our AI consumption. 105 00:04:57,880 --> 00:05:00,360 Speaker 5: So if they're the only player, well they've got really 106 00:05:00,600 --> 00:05:04,000 Speaker 5: it's sort of an built in demand pool. But China 107 00:05:04,120 --> 00:05:05,560 Speaker 5: is going to be diving back, and the market wanted 108 00:05:05,560 --> 00:05:07,240 Speaker 5: to hear that others were going to step in, and 109 00:05:07,240 --> 00:05:08,480 Speaker 5: it seems as though they are going to. 110 00:05:10,160 --> 00:05:13,279 Speaker 7: Stay with us. More from Bloomberg Intelligence coming up after this. 111 00:05:16,920 --> 00:05:20,640 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 112 00:05:20,720 --> 00:05:23,799 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 113 00:05:23,800 --> 00:05:27,120 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 114 00:05:27,160 --> 00:05:30,719 Speaker 1: you get your podcasts, or watch us live on YouTube. 115 00:05:31,520 --> 00:05:34,520 Speaker 3: LBMA shares are higher right now after a surprise return 116 00:05:34,560 --> 00:05:37,560 Speaker 3: to sales growth. So maybe that is leading to folks 117 00:05:37,560 --> 00:05:40,640 Speaker 3: saying perhaps the downturn we saw in luxury is over. 118 00:05:41,560 --> 00:05:43,359 Speaker 2: Let's get some perspective from Debrah Aikn. 119 00:05:43,440 --> 00:05:47,240 Speaker 3: She has Bloomberg Intelligence Luxury Goods analyst deb Good to 120 00:05:47,279 --> 00:05:49,799 Speaker 3: speak with you. What are you thinking when it comes 121 00:05:49,839 --> 00:05:53,560 Speaker 3: to LVMH's results on what it signals about whether luxury 122 00:05:53,680 --> 00:05:54,400 Speaker 3: is back. 123 00:05:56,240 --> 00:06:02,080 Speaker 8: Hike? Yeah, so really a very big sentiment indicator. The 124 00:06:02,160 --> 00:06:06,200 Speaker 8: comments from the company late last night out of Paris 125 00:06:06,720 --> 00:06:11,080 Speaker 8: were more positive than the market anticipated. When we look 126 00:06:11,080 --> 00:06:14,000 Speaker 8: at the numbers in terms of the organic sales growth, 127 00:06:14,000 --> 00:06:16,560 Speaker 8: the market expected around minus one. We came in a 128 00:06:16,640 --> 00:06:20,719 Speaker 8: plus one. But it's about the sequential improvement from Q 129 00:06:20,800 --> 00:06:24,279 Speaker 8: two to Q three and the fact that all five 130 00:06:24,320 --> 00:06:28,200 Speaker 8: of the business units are improved versus Q two and 131 00:06:28,360 --> 00:06:31,719 Speaker 8: more than that. China is mid to high single digit 132 00:06:31,839 --> 00:06:33,200 Speaker 8: growth versus a year ago. 133 00:06:33,600 --> 00:06:35,040 Speaker 2: The US is robust. 134 00:06:35,160 --> 00:06:39,279 Speaker 8: Europe is doing the same as it did across the board, 135 00:06:39,320 --> 00:06:42,760 Speaker 8: doing okay but missing out on tourism and Asia. Extrapan 136 00:06:42,880 --> 00:06:47,159 Speaker 8: is positive. We know four q US will face a 137 00:06:47,200 --> 00:06:49,440 Speaker 8: bit more of a difficult comp after they spent in 138 00:06:49,560 --> 00:06:53,960 Speaker 8: last year beyond the election and the Trump win. But 139 00:06:54,120 --> 00:06:56,799 Speaker 8: into the first half of twenty twenty six, the market 140 00:06:56,880 --> 00:06:59,440 Speaker 8: is looking more positive and it's certainly rallied the whole 141 00:06:59,480 --> 00:07:02,360 Speaker 8: of the second This morning and this afternoon. 142 00:07:02,360 --> 00:07:06,080 Speaker 6: Hey, dev, what's the correlation between luxury spending and just 143 00:07:06,200 --> 00:07:09,320 Speaker 6: kind of the broader stock market around the world. Because 144 00:07:09,480 --> 00:07:12,400 Speaker 6: markets are really performing well, how does that correlate to 145 00:07:12,520 --> 00:07:13,600 Speaker 6: just luxury spending? 146 00:07:15,160 --> 00:07:15,400 Speaker 9: You know? 147 00:07:15,480 --> 00:07:17,560 Speaker 8: The big thing, The big thing on luxury spend has 148 00:07:17,600 --> 00:07:23,520 Speaker 8: been that the very high end has done well. So 149 00:07:23,920 --> 00:07:28,239 Speaker 8: EMMS Brunella Cucinelli, where they work with a restricted volume 150 00:07:28,320 --> 00:07:32,440 Speaker 8: operating model, they've done well in terms of their top 151 00:07:32,480 --> 00:07:36,520 Speaker 8: line growth. But when I think about an LVMH, you 152 00:07:36,560 --> 00:07:38,880 Speaker 8: know they're given how big they are, they need a 153 00:07:38,920 --> 00:07:42,560 Speaker 8: big volume there. Even with some price in to manage 154 00:07:42,600 --> 00:07:46,239 Speaker 8: growth in this category, and instead what we saw last 155 00:07:46,320 --> 00:07:48,880 Speaker 8: year and the beginning of this year was maybe a 156 00:07:48,880 --> 00:07:52,080 Speaker 8: little bit of trading down. So brands like Tapestry's Coach 157 00:07:53,080 --> 00:07:56,640 Speaker 8: Ralph Lauren, they became really so popular, not only in 158 00:07:56,640 --> 00:08:00,320 Speaker 8: the US, but more on a globalized basis too. And 159 00:08:00,360 --> 00:08:03,840 Speaker 8: so the view has been that the sentiment around the 160 00:08:03,880 --> 00:08:07,760 Speaker 8: share prices has very much been opposed and opposite to 161 00:08:08,360 --> 00:08:11,200 Speaker 8: what's been happening on the stock market. But with the 162 00:08:11,240 --> 00:08:14,320 Speaker 8: exception of the mid range and the mid range have 163 00:08:14,400 --> 00:08:19,040 Speaker 8: done better because the view in the investor mindset has 164 00:08:19,080 --> 00:08:23,480 Speaker 8: been that the luxury buyer will trade down. They've done 165 00:08:23,520 --> 00:08:26,440 Speaker 8: that in some brands, but not all brands, in some categories, 166 00:08:26,480 --> 00:08:29,680 Speaker 8: not all categories, and generally we expect the biggest and 167 00:08:29,720 --> 00:08:31,040 Speaker 8: the best to come back first. 168 00:08:32,760 --> 00:08:36,280 Speaker 3: What about LVMH's wines and spirits division. We've been hearing 169 00:08:36,320 --> 00:08:40,360 Speaker 3: from Constellation Brands and other spirits companies that you know, 170 00:08:40,400 --> 00:08:44,480 Speaker 3: there's been this massive shift in consumer tastes away from alcohol, 171 00:08:44,520 --> 00:08:49,760 Speaker 3: certainly the younger generation. Does that affect a company like LVMH. 172 00:08:49,840 --> 00:08:53,240 Speaker 8: So a different kind of thing with LVMH. I think 173 00:08:53,320 --> 00:08:56,240 Speaker 8: at the very high end we had some US weakness, 174 00:08:56,400 --> 00:09:02,679 Speaker 8: so they operate in wines, fine mine, high end champagnes, cognacs, 175 00:09:02,880 --> 00:09:06,760 Speaker 8: and others. Champagne is doing well and is back to 176 00:09:06,800 --> 00:09:11,240 Speaker 8: growth in the US. Rose wine is doing very very well, 177 00:09:11,800 --> 00:09:15,680 Speaker 8: but some of the spirit side is still struggling a 178 00:09:15,679 --> 00:09:19,120 Speaker 8: little bit, and I think that's because we've seen some 179 00:09:19,240 --> 00:09:23,800 Speaker 8: trading down. So we had China very heavily stocked and 180 00:09:23,880 --> 00:09:26,720 Speaker 8: the US not so solid through the first half the year. 181 00:09:26,720 --> 00:09:29,040 Speaker 8: But there are signs of that coming back. If I 182 00:09:29,080 --> 00:09:31,280 Speaker 8: look at the numbers on the Q three for wines 183 00:09:31,320 --> 00:09:33,960 Speaker 8: and spirits, they're at plus one and they were at 184 00:09:34,080 --> 00:09:36,880 Speaker 8: minus four for Q two and minus nine for Q one, 185 00:09:37,440 --> 00:09:40,720 Speaker 8: So it seems as though inventory is leveled out and 186 00:09:40,760 --> 00:09:42,720 Speaker 8: we're starting to see some selling. 187 00:09:43,480 --> 00:09:46,520 Speaker 6: Deba I learned from you long ago, and looking at luxury, 188 00:09:46,559 --> 00:09:48,280 Speaker 6: you have to also pay attention to what's happening in 189 00:09:48,360 --> 00:09:51,800 Speaker 6: China and the Chinese consumer. Are the Chinese spending either 190 00:09:52,600 --> 00:09:55,680 Speaker 6: in China or are they traveling to the London Parish, 191 00:09:55,679 --> 00:09:56,960 Speaker 6: New York Milan type thing? 192 00:09:57,280 --> 00:09:57,839 Speaker 7: What are you seeing? 193 00:09:59,360 --> 00:10:02,360 Speaker 8: Yeah, still we're seeing a lot of the spend. We're 194 00:10:02,360 --> 00:10:05,120 Speaker 8: getting mid thigh single digit growth in that Q three 195 00:10:05,160 --> 00:10:10,040 Speaker 8: from Alvia Maitia on your is on localized spending. We 196 00:10:10,160 --> 00:10:14,120 Speaker 8: are seeing pockets of growth on the tourism side, so 197 00:10:14,200 --> 00:10:17,600 Speaker 8: there is a more positive view and mixed linked into 198 00:10:17,800 --> 00:10:21,520 Speaker 8: the commentary from these results, but overall we are still 199 00:10:21,600 --> 00:10:28,320 Speaker 8: absolutely missing Asian tourist, Chinese tourists from Europe, and also 200 00:10:28,520 --> 00:10:31,480 Speaker 8: in Europe, we're missing the strength of the dollar having 201 00:10:31,600 --> 00:10:35,719 Speaker 8: swung over last year with US purchases here and you 202 00:10:36,200 --> 00:10:39,000 Speaker 8: are seeing some but not as many in terms of 203 00:10:39,040 --> 00:10:42,400 Speaker 8: full recovery versus twenty nineteen. There's growth year on year, 204 00:10:42,840 --> 00:10:45,800 Speaker 8: but not versus twenty nineteen into the USI. But when 205 00:10:45,840 --> 00:10:48,880 Speaker 8: it comes to the Chinese tourists, we used to say 206 00:10:49,920 --> 00:10:53,320 Speaker 8: a third of luxury goods just over we're on the work. 207 00:10:53,440 --> 00:10:57,040 Speaker 8: We're from the Chinese cohort, and that would include on 208 00:10:57,200 --> 00:10:59,600 Speaker 8: land and traveling right and we still think there's a 209 00:10:59,600 --> 00:11:03,240 Speaker 8: way for that to go, but certainly on land and 210 00:11:03,280 --> 00:11:05,160 Speaker 8: locally they're doing better than they were. 211 00:11:06,000 --> 00:11:09,160 Speaker 7: Stay with us. More from Bloomberg Intelligence coming up after this. 212 00:11:13,040 --> 00:11:16,760 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 213 00:11:16,840 --> 00:11:19,920 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 214 00:11:19,960 --> 00:11:23,240 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 215 00:11:23,320 --> 00:11:26,920 Speaker 1: you get your podcasts, or watch us live on YouTube. 216 00:11:27,160 --> 00:11:30,440 Speaker 3: Paul, it feels very two thousand and seven ish with 217 00:11:30,480 --> 00:11:32,720 Speaker 3: the deal making taking place, with the banks reporting these 218 00:11:32,760 --> 00:11:36,760 Speaker 3: incredible numbers, a lot of companies saying they may go private. 219 00:11:37,720 --> 00:11:39,839 Speaker 2: We're hearing a lot of speculation about that. 220 00:11:39,880 --> 00:11:42,920 Speaker 3: The latest is Grinder, and in this case, the dating 221 00:11:42,920 --> 00:11:45,120 Speaker 3: app has confirmed that it received a letter from its 222 00:11:45,200 --> 00:11:49,600 Speaker 3: largest shareholders interested in exploring a take private transaction. So 223 00:11:49,679 --> 00:11:54,320 Speaker 3: let's bring in our Bloomberg Intelligence Internet analysts, software and 224 00:11:54,360 --> 00:11:57,400 Speaker 3: Internet analysts with us, Nicole Desuza to give us a 225 00:11:57,440 --> 00:12:00,840 Speaker 3: little bit more here. So, Nicole, Grind, this dating app 226 00:12:00,840 --> 00:12:04,480 Speaker 3: that's focused on the LGBT community, does not actually have 227 00:12:04,559 --> 00:12:07,800 Speaker 3: a proposal to evaluate. It's just telling everyone, Hey, this 228 00:12:07,840 --> 00:12:10,360 Speaker 3: is happening, and there's percolations of this happening. 229 00:12:10,679 --> 00:12:11,120 Speaker 9: Correct. 230 00:12:11,520 --> 00:12:13,360 Speaker 10: So, as of right now, what we know what's been 231 00:12:13,400 --> 00:12:16,800 Speaker 10: reported is there are two investors, Raymond's Age and James 232 00:12:16,800 --> 00:12:20,040 Speaker 10: lou who together control about sixty percent of Grinder. They 233 00:12:20,040 --> 00:12:24,200 Speaker 10: are in talks with Fortress Investment Group to secure debt 234 00:12:24,200 --> 00:12:27,720 Speaker 10: financing to take the company private. There has been no 235 00:12:28,000 --> 00:12:30,840 Speaker 10: direct proposal at this time, but discussions seem to be 236 00:12:30,880 --> 00:12:33,880 Speaker 10: around a fifteen dollars share price, which would value Grinder 237 00:12:33,920 --> 00:12:35,240 Speaker 10: at around three billion dollars. 238 00:12:35,679 --> 00:12:38,199 Speaker 6: Talk to us about this company. How has it performed 239 00:12:38,840 --> 00:12:40,120 Speaker 6: as a publicly traded company. 240 00:12:40,720 --> 00:12:43,880 Speaker 10: So you're to date this shares are down around twenty 241 00:12:44,000 --> 00:12:47,440 Speaker 10: nine percent. That being said, Grinder is one of the 242 00:12:47,520 --> 00:12:50,840 Speaker 10: few dating apps that is still growing paying users, so 243 00:12:50,880 --> 00:12:51,400 Speaker 10: we've seen so. 244 00:12:51,520 --> 00:12:53,560 Speaker 7: They're growing, They're still growing users. 245 00:12:53,280 --> 00:12:55,720 Speaker 10: Yes, okay, and that at this point right now is 246 00:12:55,720 --> 00:12:57,600 Speaker 10: a little bit rare for dating apps. Right We've seen 247 00:12:57,640 --> 00:13:01,520 Speaker 10: Tender lose users, We've seen bumble looos lot of users. Grinder, 248 00:13:01,559 --> 00:13:03,560 Speaker 10: because of their niche user base, has been able to 249 00:13:03,600 --> 00:13:06,000 Speaker 10: hang on to a good amount of their users and 250 00:13:06,000 --> 00:13:07,040 Speaker 10: grow users every year. 251 00:13:08,520 --> 00:13:10,000 Speaker 2: What is their strategy going forward? 252 00:13:10,040 --> 00:13:12,000 Speaker 3: Because they did read something about how they have this 253 00:13:12,080 --> 00:13:15,120 Speaker 3: three year plan where they're targeting some pretty aggressive growth 254 00:13:15,160 --> 00:13:17,640 Speaker 3: and the fact that they're growing users is a good sign. 255 00:13:17,800 --> 00:13:20,360 Speaker 3: But the dating app business doesn't seem to be that 256 00:13:20,440 --> 00:13:21,160 Speaker 3: great right now. 257 00:13:21,640 --> 00:13:22,520 Speaker 2: Yes, So they have. 258 00:13:22,440 --> 00:13:24,640 Speaker 10: A couple of different levers that they can pull. The 259 00:13:24,679 --> 00:13:26,880 Speaker 10: first one is raising prices. They've talked for the first 260 00:13:26,920 --> 00:13:29,800 Speaker 10: time about raising prices. They haven't raised prices since twenty eighteen, 261 00:13:30,480 --> 00:13:34,920 Speaker 10: so they're looking now at potentially raising prices introducing a 262 00:13:34,960 --> 00:13:38,400 Speaker 10: new premium tier. Right now, they get around twenty four 263 00:13:38,440 --> 00:13:40,920 Speaker 10: dollars per paying user, so there is a little bit 264 00:13:40,920 --> 00:13:42,839 Speaker 10: of room for growth. They only have about eight percent 265 00:13:42,840 --> 00:13:45,720 Speaker 10: of their total user base of fifteen million users who 266 00:13:45,800 --> 00:13:48,319 Speaker 10: actually pay for the app, so there is room there. 267 00:13:48,320 --> 00:13:51,679 Speaker 10: They're also growing advertising revenue. Grinder is one of the 268 00:13:51,720 --> 00:13:54,680 Speaker 10: few dating apps that does have a pretty solid ad platform. 269 00:13:55,160 --> 00:13:58,320 Speaker 10: They grew AD revenue around forty percent last quarter, which 270 00:13:58,360 --> 00:14:01,400 Speaker 10: was a big step up. Expect that to continue. They're 271 00:14:01,400 --> 00:14:04,079 Speaker 10: looking at new ad units, they're looking at better targeting, 272 00:14:04,640 --> 00:14:06,960 Speaker 10: so we do think there are there's a room for 273 00:14:07,080 --> 00:14:08,640 Speaker 10: ad revenue to really grow from here. 274 00:14:08,880 --> 00:14:11,120 Speaker 6: I mean, so you step back for the digital ad story, 275 00:14:11,160 --> 00:14:14,880 Speaker 6: it's still a very bullish story for digital advertising. I 276 00:14:14,880 --> 00:14:19,000 Speaker 6: mean there's still that big macro call of digital advertising. 277 00:14:19,000 --> 00:14:20,880 Speaker 6: Whether it's a big ones like Facebook or the smaller 278 00:14:20,920 --> 00:14:24,760 Speaker 6: ones like grind. You're taking dollars away from traditional analog media. 279 00:14:24,800 --> 00:14:26,120 Speaker 6: Is that story still in play and if so, how 280 00:14:26,120 --> 00:14:27,160 Speaker 6: long do you think it goes for? 281 00:14:27,680 --> 00:14:29,560 Speaker 10: I think it is still in play. I mean, we 282 00:14:29,600 --> 00:14:32,920 Speaker 10: do still see some ad dollars going to more traditional sources. 283 00:14:32,960 --> 00:14:36,720 Speaker 10: So you know, obviously, digital advertising is much better targeting. 284 00:14:37,160 --> 00:14:39,680 Speaker 10: You can do things like direct response advertising where users 285 00:14:40,240 --> 00:14:42,480 Speaker 10: are taken directly to a website to make a purchase. 286 00:14:42,840 --> 00:14:44,000 Speaker 4: It's a good use of ad. 287 00:14:43,840 --> 00:14:48,160 Speaker 10: Dollars for companies. Grinder has a really unique user base. 288 00:14:48,560 --> 00:14:52,280 Speaker 10: Their user base is more affluent, they have higher discression 289 00:14:52,320 --> 00:14:54,520 Speaker 10: or income, they tend to be higher educated. So it 290 00:14:54,560 --> 00:14:56,320 Speaker 10: could be a really great platform for a lot of 291 00:14:56,360 --> 00:14:59,640 Speaker 10: advertisers who are looking to advertise to that base. 292 00:15:00,040 --> 00:15:02,880 Speaker 3: Also, gen Z pretty heavy as well, so talk a 293 00:15:02,920 --> 00:15:05,720 Speaker 3: little bit about how that is very appealing to advertisers. 294 00:15:06,080 --> 00:15:06,280 Speaker 4: Yeah. 295 00:15:06,400 --> 00:15:09,480 Speaker 10: So, actually it's funny because Grinder is one of the 296 00:15:09,680 --> 00:15:12,320 Speaker 10: only dating apps really who isn't necessarily seeing an issue 297 00:15:12,400 --> 00:15:15,560 Speaker 10: attracting gen Z users. They've talked a lot about how 298 00:15:16,000 --> 00:15:18,360 Speaker 10: the issues that other dating apps are facing they don't 299 00:15:18,360 --> 00:15:21,000 Speaker 10: really face because it's such a unique user base and 300 00:15:21,040 --> 00:15:24,600 Speaker 10: because people come to Grinder not just for romantic connection 301 00:15:24,680 --> 00:15:26,600 Speaker 10: but also just to meet people, to make friends, to 302 00:15:26,760 --> 00:15:29,800 Speaker 10: have a community. So Grinder has done a great job 303 00:15:29,800 --> 00:15:32,160 Speaker 10: of attracting these users of holding on to them, and 304 00:15:32,200 --> 00:15:35,160 Speaker 10: again it could be a great place for advertisers to reach. 305 00:15:35,240 --> 00:15:38,080 Speaker 6: Gen Z thirty seconds stuff and why was this stock 306 00:15:38,120 --> 00:15:41,840 Speaker 6: down or is down forty some unpercented, so they have they. 307 00:15:41,680 --> 00:15:44,200 Speaker 10: Have missed on a few revenue metrics. They were a 308 00:15:44,240 --> 00:15:46,520 Speaker 10: little bit light on revenue last quarter, a little bit 309 00:15:46,560 --> 00:15:47,320 Speaker 10: light on ebita. 310 00:15:48,040 --> 00:15:49,640 Speaker 4: But again we think, you know. 311 00:15:49,640 --> 00:15:52,160 Speaker 10: The long term growth perspective for this company is really strong. 312 00:15:52,760 --> 00:15:56,280 Speaker 10: They have been growing users, which is unique for dating apps. 313 00:15:56,320 --> 00:15:59,200 Speaker 10: So we're very comfortable with the twenty to twenty five 314 00:15:59,200 --> 00:16:01,000 Speaker 10: percent revenue growth through twenty twenty seven. 315 00:16:02,320 --> 00:16:05,400 Speaker 7: Stay with us. More from Bloomberg Intelligence coming up after this. 316 00:16:08,920 --> 00:16:12,600 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 317 00:16:12,680 --> 00:16:15,760 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay, and Android 318 00:16:15,800 --> 00:16:19,080 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 319 00:16:19,160 --> 00:16:22,680 Speaker 1: you get your podcasts, or watch us live on YouTube. 320 00:16:23,200 --> 00:16:25,600 Speaker 3: You know, for all the talk of all these companies 321 00:16:26,040 --> 00:16:30,040 Speaker 3: involved in AI deals circular deals where they're teaming up 322 00:16:30,040 --> 00:16:32,680 Speaker 3: with someone and they're buying something or investing in somebody 323 00:16:32,680 --> 00:16:35,120 Speaker 3: and partnering with something to buy their own chips back, 324 00:16:35,680 --> 00:16:39,280 Speaker 3: one company is noticeably absent from all these announcements, and 325 00:16:39,280 --> 00:16:39,960 Speaker 3: that is a big one. 326 00:16:39,960 --> 00:16:41,400 Speaker 2: It's Apple. Yeah, where is it? 327 00:16:41,760 --> 00:16:42,360 Speaker 9: I don't know. 328 00:16:42,440 --> 00:16:45,040 Speaker 7: They have a lot of cash, they do, I don't know. 329 00:16:44,760 --> 00:16:48,080 Speaker 7: I don't know their AI play. That's what I don't know. 330 00:16:48,280 --> 00:16:50,200 Speaker 3: Well, their AI doesn't work very well on their phone. 331 00:16:50,280 --> 00:16:52,360 Speaker 3: Right now, I can tell you that An A. Grana 332 00:16:52,440 --> 00:16:54,960 Speaker 3: is a tech analyst at Bloomberg Intelligence and he joins 333 00:16:55,000 --> 00:16:58,240 Speaker 3: US now from Chicago, So An Rag. There are some 334 00:16:58,280 --> 00:17:01,840 Speaker 3: headlines here that Apple is looking to beef up its 335 00:17:01,880 --> 00:17:06,159 Speaker 3: smart home offerings lesson its dependence on China. This is 336 00:17:06,200 --> 00:17:09,240 Speaker 3: something that the President of the United States has been 337 00:17:09,240 --> 00:17:12,040 Speaker 3: pushing Apple to do, to bring some of it's manufacturing 338 00:17:12,080 --> 00:17:14,480 Speaker 3: back to the US. But Apple's not doing that. It 339 00:17:14,560 --> 00:17:18,320 Speaker 3: is beefing up its manufacturing operations in Vietnam. What's going 340 00:17:18,359 --> 00:17:18,919 Speaker 3: on with Apple? 341 00:17:20,200 --> 00:17:22,800 Speaker 9: See, when you look at it, whether it's accessories or 342 00:17:22,880 --> 00:17:25,280 Speaker 9: you know, putting together the phones, you really cannot do 343 00:17:25,320 --> 00:17:27,360 Speaker 9: that in the US. We don't have the size, factories 344 00:17:27,480 --> 00:17:30,639 Speaker 9: or automation to do that. So you will have to 345 00:17:30,680 --> 00:17:33,840 Speaker 9: do that somewhere in Asia. And as they're diversifying away 346 00:17:33,840 --> 00:17:37,800 Speaker 9: from China because of the obvious threat between US and 347 00:17:37,800 --> 00:17:41,440 Speaker 9: in China trade wars, Vietnam is a proper location where 348 00:17:41,520 --> 00:17:45,400 Speaker 9: they can assemble let's say, some accessories or smaller products 349 00:17:45,400 --> 00:17:47,600 Speaker 9: where you know they may cost you one hundred dollars 350 00:17:47,680 --> 00:17:50,359 Speaker 9: or fifty dollars, but they have the low cost area 351 00:17:50,440 --> 00:17:52,919 Speaker 9: to produce them or I would say assemble them. 352 00:17:53,560 --> 00:17:57,440 Speaker 6: So an Uraga, We've spent the last two three four 353 00:17:57,520 --> 00:18:01,000 Speaker 6: weeks speaking with you, speaking with man Deep, speaking with 354 00:18:01,080 --> 00:18:04,399 Speaker 6: other tech experts about all these deals around the AI 355 00:18:04,680 --> 00:18:07,879 Speaker 6: ecosystem that we've seen ten billion dollars here, one hundred 356 00:18:07,920 --> 00:18:12,040 Speaker 6: billion dollars there companies ranging from Microsoft to AMD to 357 00:18:12,200 --> 00:18:15,560 Speaker 6: Nvidio to open Ai. We have not talked about Apple 358 00:18:16,320 --> 00:18:18,160 Speaker 6: what is and I'm not sure if that's a good 359 00:18:18,200 --> 00:18:19,560 Speaker 6: or bad thing. I don't know if these deals are 360 00:18:19,600 --> 00:18:21,600 Speaker 6: good or bad. I just know there a lot of them. 361 00:18:21,920 --> 00:18:24,720 Speaker 6: They're coming out of the woodwork. There's big numbers, and 362 00:18:24,800 --> 00:18:27,560 Speaker 6: Apple's just conspicuous by its absence. It feels like, how 363 00:18:27,560 --> 00:18:28,280 Speaker 6: do you think about it? 364 00:18:29,040 --> 00:18:31,960 Speaker 9: Yeah, you know, you could look at it both ways. 365 00:18:32,000 --> 00:18:34,040 Speaker 9: One way is you criticize that they're not really at 366 00:18:34,080 --> 00:18:37,080 Speaker 9: the forefront of the next generation model out there. But 367 00:18:37,160 --> 00:18:38,840 Speaker 9: the other way you can say is, you know, let 368 00:18:38,920 --> 00:18:41,440 Speaker 9: everybody else fight it out. In the end, it will 369 00:18:41,480 --> 00:18:43,719 Speaker 9: go to the one that has the best model and 370 00:18:43,800 --> 00:18:47,280 Speaker 9: include that in there. Its own distribution channel, which is 371 00:18:47,280 --> 00:18:50,520 Speaker 9: basically iOS. We have heard from Olkham and has done 372 00:18:50,520 --> 00:18:53,120 Speaker 9: some really good work on this particular aspect of it. 373 00:18:53,160 --> 00:18:56,640 Speaker 9: Is the next the next version of CD may have 374 00:18:57,560 --> 00:19:00,520 Speaker 9: technology from some of the third body providers, you know, 375 00:19:00,520 --> 00:19:03,760 Speaker 9: whether that's Open AI and Tropic or even Gemini. You know, 376 00:19:03,840 --> 00:19:05,840 Speaker 9: our bet is that, you know, we hope that they 377 00:19:05,840 --> 00:19:08,080 Speaker 9: go with Gemini because they already get a lot of 378 00:19:08,119 --> 00:19:11,159 Speaker 9: money from Google for the search business. Maybe there is 379 00:19:11,200 --> 00:19:14,280 Speaker 9: some revenue stating on that part as well, So we 380 00:19:14,359 --> 00:19:17,080 Speaker 9: think eventually, we don't know when they will get it 381 00:19:17,160 --> 00:19:20,240 Speaker 9: right when it comes to AI infusing in their product, 382 00:19:20,240 --> 00:19:23,359 Speaker 9: but it's going to come with some third party rather 383 00:19:23,400 --> 00:19:24,639 Speaker 9: than in house AI. 384 00:19:25,359 --> 00:19:26,879 Speaker 3: So in other words, they're kind of waiting for the 385 00:19:26,960 --> 00:19:30,600 Speaker 3: dust to settle, waiting for winners to emerge before picking 386 00:19:30,640 --> 00:19:35,240 Speaker 3: their horse and riding it. Is that something other device makers, 387 00:19:35,280 --> 00:19:38,160 Speaker 3: handset makers are doing as well. I mean, Alphabet doesn't 388 00:19:38,200 --> 00:19:40,240 Speaker 3: have to do that because it has its own AI 389 00:19:40,400 --> 00:19:42,680 Speaker 3: business and it makes handsets. 390 00:19:43,400 --> 00:19:47,000 Speaker 9: Yeah, and it's very well integrated because it's the Google Gemini, 391 00:19:47,119 --> 00:19:50,080 Speaker 9: it's part of Android and then you know Samsung is 392 00:19:50,080 --> 00:19:52,320 Speaker 9: going to license that. So they are all set on 393 00:19:52,359 --> 00:19:55,280 Speaker 9: that particular aspect of it. But it's possible that Apple 394 00:19:55,359 --> 00:20:00,320 Speaker 9: may choose to work with Gemini, Google itself again get 395 00:20:00,320 --> 00:20:03,000 Speaker 9: their technology, infuse it in their products, and you and 396 00:20:03,040 --> 00:20:05,480 Speaker 9: I get the same experience we would get, you know, 397 00:20:05,560 --> 00:20:09,040 Speaker 9: on on on, like for example, using chat GPD or anthropic. 398 00:20:09,320 --> 00:20:11,720 Speaker 9: I think from what we have heard from Marc is 399 00:20:12,240 --> 00:20:14,960 Speaker 9: the research right now is they are running parallel chat 400 00:20:15,000 --> 00:20:18,280 Speaker 9: pots internally try to see which one has a better output. 401 00:20:18,480 --> 00:20:20,800 Speaker 9: And eventually we know with Apple it's going to go 402 00:20:20,880 --> 00:20:24,800 Speaker 9: with the one the highest quality of searches or queries 403 00:20:24,880 --> 00:20:27,959 Speaker 9: or answers, and and you know, let's let's hope that 404 00:20:27,960 --> 00:20:30,200 Speaker 9: they get it around in the March timeframe that it's 405 00:20:30,480 --> 00:20:31,359 Speaker 9: rumored to come out. 406 00:20:32,880 --> 00:20:35,240 Speaker 6: Earnings for the tech companies are going to be in 407 00:20:35,280 --> 00:20:38,520 Speaker 6: a couple of weeks. Here what should we be focusing 408 00:20:38,560 --> 00:20:39,480 Speaker 6: on this quarter? 409 00:20:39,560 --> 00:20:43,440 Speaker 9: On a rug, so we we're bifurcating the entire tech 410 00:20:43,520 --> 00:20:46,159 Speaker 9: space into two buckets. One is area where we are 411 00:20:46,160 --> 00:20:48,440 Speaker 9: going to see some weakness. That's going to be more 412 00:20:48,480 --> 00:20:52,080 Speaker 9: on the consulting side, more on your traditional software side. 413 00:20:52,359 --> 00:20:55,360 Speaker 9: And on the second half of the equation is companies 414 00:20:55,400 --> 00:20:58,399 Speaker 9: that will see an uplift in their revenue because of 415 00:20:58,480 --> 00:21:02,840 Speaker 9: AI related investment. So Cove and Microsoft fall in that bucket. 416 00:21:03,200 --> 00:21:04,800 Speaker 9: But on the other side, you know you're going to 417 00:21:04,840 --> 00:21:07,840 Speaker 9: see some struggle with let's say IBM consulting, although IBM 418 00:21:07,880 --> 00:21:11,760 Speaker 9: software should do well, and that is the bifurcation that 419 00:21:11,960 --> 00:21:14,919 Speaker 9: we have. What is going to be most important for Microsoft, 420 00:21:14,920 --> 00:21:18,120 Speaker 9: for example, is all the headline news that we are 421 00:21:18,520 --> 00:21:24,120 Speaker 9: hearing about lower capacity or some constraints in data center work. 422 00:21:24,359 --> 00:21:26,920 Speaker 9: Whether that's going to have an impact on Azure guidance 423 00:21:27,000 --> 00:21:30,480 Speaker 9: or their cloud revenue guidance for next quarter. That is 424 00:21:30,480 --> 00:21:32,199 Speaker 9: going to be the biggest question for going into the 425 00:21:32,240 --> 00:21:33,400 Speaker 9: quarter for Microsoft. 426 00:21:33,600 --> 00:21:36,080 Speaker 3: Which of the names have the potential to surprise most 427 00:21:36,119 --> 00:21:38,480 Speaker 3: to the upside given what you've seen so far in 428 00:21:38,600 --> 00:21:40,600 Speaker 3: terms of estimates, I. 429 00:21:40,560 --> 00:21:43,600 Speaker 9: Think Core Weve has one potential. But at the same time, 430 00:21:43,640 --> 00:21:46,160 Speaker 9: you know, this stock moves so much on a daily 431 00:21:46,200 --> 00:21:49,360 Speaker 9: basis with any new announcement that comes out, so it's 432 00:21:49,400 --> 00:21:51,800 Speaker 9: tough to say with a lot of that optimism is 433 00:21:51,840 --> 00:21:55,000 Speaker 9: probably baked into the numbers at this point. 434 00:21:55,760 --> 00:21:58,680 Speaker 6: So what's the big thing that you guys are working on. 435 00:21:59,000 --> 00:22:03,920 Speaker 6: I've referred so many people to the Bloomberg Intelligence Technology 436 00:22:03,960 --> 00:22:08,000 Speaker 6: Teams AI report here, which really is definitive. I think 437 00:22:08,000 --> 00:22:10,840 Speaker 6: and kind of laying out for people what AI is 438 00:22:11,160 --> 00:22:14,280 Speaker 6: and you know, what are all the facets of it here, 439 00:22:14,560 --> 00:22:17,480 Speaker 6: what's the next level of analysis for you guys in 440 00:22:17,520 --> 00:22:19,240 Speaker 6: Bloomberg Intelligence Technology. 441 00:22:20,359 --> 00:22:22,440 Speaker 9: So the biggest thing we are trying to hone in 442 00:22:22,440 --> 00:22:26,359 Speaker 9: and bifocate this investment cycle that you mentioned, you know, 443 00:22:26,440 --> 00:22:29,600 Speaker 9: during the initial remarks. There are two aspects of it. 444 00:22:29,720 --> 00:22:32,560 Speaker 9: One is everything that open ai is leading. It's signing 445 00:22:32,600 --> 00:22:36,200 Speaker 9: contracts with Nvidia, Oracle, AMD and so forth. Now at 446 00:22:36,200 --> 00:22:38,320 Speaker 9: this time open ai doesn't have the money to fund 447 00:22:38,359 --> 00:22:40,680 Speaker 9: a lot of that stuff. They have enough financial backouds 448 00:22:40,680 --> 00:22:42,960 Speaker 9: to take care of it, so, you know, let's so 449 00:22:43,080 --> 00:22:45,639 Speaker 9: that's one area to focus on. The second part is 450 00:22:46,000 --> 00:22:50,719 Speaker 9: companies like Meta, Amazon, Microsoft, they are going out and 451 00:22:51,440 --> 00:22:55,120 Speaker 9: building capacity or signing up deals for data centers and 452 00:22:55,280 --> 00:22:58,119 Speaker 9: new chips. Now they have the cash to do it. 453 00:22:58,359 --> 00:23:00,840 Speaker 9: So we are trying to figure out and these cases 454 00:23:01,119 --> 00:23:04,040 Speaker 9: to see both of these scenartives, to see which ones 455 00:23:04,080 --> 00:23:07,440 Speaker 9: of them will have a greater impact on the downstream ecosystem, 456 00:23:07,520 --> 00:23:10,920 Speaker 9: you know, whether it's hardware providers or chip providers or 457 00:23:10,960 --> 00:23:13,000 Speaker 9: for that matter, data center providers as well. 458 00:23:14,480 --> 00:23:19,199 Speaker 1: This is the Bloomberg Intelligence Podcast available on Apple, Spotify, 459 00:23:19,359 --> 00:23:23,360 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 460 00:23:23,560 --> 00:23:26,840 Speaker 1: ten am to noon Eastern on Bloomberg dot Com, the 461 00:23:26,920 --> 00:23:30,800 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 462 00:23:30,840 --> 00:23:34,119 Speaker 1: can also watch us live every weekday on YouTube and 463 00:23:34,320 --> 00:23:36,280 Speaker 1: always on the Bloomberg terminal