1 00:00:02,520 --> 00:00:13,440 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive 2 00:00:13,480 --> 00:00:17,279 Speaker 1: from coast to coast with Caroline Hide in New York 3 00:00:17,560 --> 00:00:19,520 Speaker 1: and ever Low in Sent Francisco. 4 00:00:22,680 --> 00:00:25,320 Speaker 2: This is Bloomberg Tech coming up, Qualcom and arm out 5 00:00:25,320 --> 00:00:27,920 Speaker 2: with their earnings. Will break them down with the two CEOs, 6 00:00:28,000 --> 00:00:30,200 Speaker 2: Christiano Amon and Rene haass. 7 00:00:30,080 --> 00:00:34,080 Speaker 3: Plas Alphabet's capex mic drop record spending plans hit the 8 00:00:34,120 --> 00:00:35,960 Speaker 3: stock despite strong earnings. 9 00:00:36,280 --> 00:00:39,440 Speaker 2: And Bitcoin falls below seventy thousand US dollars for the 10 00:00:39,479 --> 00:00:42,520 Speaker 2: first time since late twenty twenty four. Will break down 11 00:00:42,520 --> 00:00:45,600 Speaker 2: the negative momentum impacting crypto. 12 00:00:45,240 --> 00:00:48,839 Speaker 3: Markets and that negative momentum is affecting markets more broadly. 13 00:00:48,880 --> 00:00:50,479 Speaker 3: At the moment, check out the nasak off by one 14 00:00:50,479 --> 00:00:53,199 Speaker 3: point four percent. We are training the lowest since November. 15 00:00:53,320 --> 00:00:55,600 Speaker 3: Right now at the moment ed we are seeing pain 16 00:00:55,680 --> 00:00:57,360 Speaker 3: across the board. And that's why we've got to go 17 00:00:57,600 --> 00:01:00,600 Speaker 3: to our Bloombost Cross Asset reporter to say we can 18 00:01:00,600 --> 00:01:03,320 Speaker 3: dig into all of these moves across asset classes with 19 00:01:03,360 --> 00:01:06,960 Speaker 3: Alexander Zamaneva, who's with us now, I don't know where 20 00:01:07,040 --> 00:01:08,640 Speaker 3: to look at the moment, everything is in the red. 21 00:01:08,880 --> 00:01:11,000 Speaker 4: It has been a really ugly week, Caroline. We have 22 00:01:11,120 --> 00:01:14,240 Speaker 4: obviously seen corrections in tech over the last three years 23 00:01:14,400 --> 00:01:17,360 Speaker 4: since the launch of chat GPT, but nothing has rivaled 24 00:01:17,600 --> 00:01:20,160 Speaker 4: the sheer magnitude of this sell off that we're seeing 25 00:01:20,200 --> 00:01:24,000 Speaker 4: in the sector across various assets, hitting both stock and 26 00:01:24,200 --> 00:01:26,760 Speaker 4: credit market. Software stocks, of course, have been at the 27 00:01:26,800 --> 00:01:29,600 Speaker 4: forefront of this. They are down about fifteen percent this 28 00:01:29,720 --> 00:01:32,440 Speaker 4: week and twenty nine percent from their all time highs 29 00:01:32,440 --> 00:01:35,120 Speaker 4: in September. It's also important to note that this selloff 30 00:01:35,360 --> 00:01:39,040 Speaker 4: has triggered a number of extreme levels. From a technical perspective. 31 00:01:39,360 --> 00:01:43,160 Speaker 4: The share of software stocks at over sold levels eclipsed 32 00:01:43,200 --> 00:01:46,120 Speaker 4: seventy percent yesterday. That is an all time high. In 33 00:01:46,160 --> 00:01:49,160 Speaker 4: the broader tech sector that shares about forty five percent, 34 00:01:49,360 --> 00:01:52,440 Speaker 4: also a record and another barometer of how painful it 35 00:01:52,520 --> 00:01:55,640 Speaker 4: has been. The I Shares Expanded Tech Software ETV that 36 00:01:55,760 --> 00:01:58,280 Speaker 4: is ticker IGV compared to the S and P five 37 00:01:58,360 --> 00:02:00,920 Speaker 4: hundred is the most over sold that it has ever been, 38 00:02:00,960 --> 00:02:03,920 Speaker 4: and of course that risk off sentiment is spreading today. 39 00:02:03,960 --> 00:02:06,360 Speaker 4: What we've seen so far is that it has really 40 00:02:06,400 --> 00:02:09,160 Speaker 4: been focused on tech, so up until today, it's really 41 00:02:09,240 --> 00:02:11,799 Speaker 4: been a rotation out of tech and in two other 42 00:02:11,880 --> 00:02:13,760 Speaker 4: pockets of the market, and now we're really seeing the 43 00:02:13,800 --> 00:02:15,840 Speaker 4: sell off broad and out. Looking at the S and 44 00:02:15,840 --> 00:02:17,959 Speaker 4: P five hundred, it is down one point two percent 45 00:02:18,040 --> 00:02:21,040 Speaker 4: right now. The Dow Jones Industrial Average, which up until 46 00:02:21,080 --> 00:02:23,440 Speaker 4: today has been kind of shielded from this, is now 47 00:02:23,480 --> 00:02:27,240 Speaker 4: down one point two percent. Also, the SNP equal weight yesterday, 48 00:02:27,240 --> 00:02:29,880 Speaker 4: for example, was up zero point nine percent even as 49 00:02:29,919 --> 00:02:32,399 Speaker 4: the broader market sold off. It is down again today, 50 00:02:32,480 --> 00:02:34,600 Speaker 4: So really risk off across the board. And we have 51 00:02:34,639 --> 00:02:37,919 Speaker 4: to talk of course about Bitcoin. It fell below sixty 52 00:02:37,919 --> 00:02:41,000 Speaker 4: eight thousand today, which is the lowest since November twenty 53 00:02:41,040 --> 00:02:44,560 Speaker 4: twenty four, down about forty five percent from it's October high. 54 00:02:44,600 --> 00:02:48,000 Speaker 4: Also big news today that crypto exchange Gemini plans to 55 00:02:48,040 --> 00:02:50,840 Speaker 4: cut about twenty five percent of its workforce, so really 56 00:02:50,880 --> 00:02:51,760 Speaker 4: seeing the pain of that. 57 00:02:52,960 --> 00:02:56,080 Speaker 2: Bloomberg's Alexandre just Semonova with the macro picture at the 58 00:02:56,120 --> 00:02:58,640 Speaker 2: index level, this is what matters when it comes to 59 00:02:58,680 --> 00:02:59,480 Speaker 2: technology earnings. 60 00:02:59,520 --> 00:03:01,639 Speaker 5: Caroline called it the mic drop moment. 61 00:03:01,800 --> 00:03:05,160 Speaker 2: Alphabet parent of Google with a Capex forecast for the 62 00:03:05,200 --> 00:03:08,919 Speaker 2: fiscal year of one hundred and eighty five billion dollars. 63 00:03:09,280 --> 00:03:12,040 Speaker 2: The street had forecast just shy of one hundred and 64 00:03:12,080 --> 00:03:14,239 Speaker 2: twenty billion dollars. That's a bit of a delta. The 65 00:03:14,280 --> 00:03:16,680 Speaker 2: stockdown almost five percent, on track for its biggest drop 66 00:03:16,840 --> 00:03:20,919 Speaker 2: since May of last year, a big number to digest earnings. 67 00:03:21,000 --> 00:03:24,919 Speaker 2: Also in the chip sector, Qualcomm down almost eight percent. 68 00:03:25,000 --> 00:03:27,600 Speaker 2: It gave a forecast for the current period eleven billion 69 00:03:27,639 --> 00:03:30,679 Speaker 2: dollars in sales at the top end. How much better 70 00:03:30,720 --> 00:03:32,520 Speaker 2: would that have been were it not for the impact 71 00:03:32,520 --> 00:03:34,240 Speaker 2: of what's happening in memory chips right now? 72 00:03:34,240 --> 00:03:36,080 Speaker 5: In the memory market, ARMED. 73 00:03:35,960 --> 00:03:39,080 Speaker 2: Similarly, but actually it is up five percentage points and 74 00:03:39,120 --> 00:03:42,800 Speaker 2: it's accelerated throughout the session. Sales and fiscal fourth quarter 75 00:03:42,800 --> 00:03:45,040 Speaker 2: will be about one point four to seven billion dollars, 76 00:03:45,160 --> 00:03:48,560 Speaker 2: just ahead of consensus. How are they managing what's happening 77 00:03:48,800 --> 00:03:51,160 Speaker 2: in the memory shortage and when is they going to 78 00:03:51,200 --> 00:03:55,320 Speaker 2: transition from the handset story to the data center story. 79 00:03:55,800 --> 00:03:59,040 Speaker 2: Let's talk through it. ARM CEO Rene Husk joins us. Now, Rene, 80 00:03:59,040 --> 00:04:01,160 Speaker 2: good morning, thank you for joining us. That there is 81 00:04:01,200 --> 00:04:04,840 Speaker 2: a lot going on. Let's get the sort of handset, 82 00:04:04,880 --> 00:04:08,720 Speaker 2: smartphone and memory situation out of the way. If that's okay, 83 00:04:09,080 --> 00:04:12,640 Speaker 2: You know clearly this is impacting outlook for the smartphone 84 00:04:12,680 --> 00:04:14,720 Speaker 2: market across this calendar year. 85 00:04:15,200 --> 00:04:16,560 Speaker 5: How do you think it showed. 86 00:04:16,400 --> 00:04:19,120 Speaker 2: Up in the earnings that you posted and would it 87 00:04:19,120 --> 00:04:21,800 Speaker 2: have been slightly better if the situation were different? 88 00:04:22,839 --> 00:04:26,440 Speaker 6: Yeah, good morning, Good morning, ed. So, first off, the 89 00:04:26,720 --> 00:04:30,400 Speaker 6: quarter was amazing for us. We had not only record revenue, 90 00:04:30,400 --> 00:04:33,480 Speaker 6: but record royalties one point two to four billion in revenue, 91 00:04:34,240 --> 00:04:38,800 Speaker 6: nearly seven hundred and forty million dollars in royalties, and 92 00:04:38,839 --> 00:04:40,920 Speaker 6: if you just stack that up, that's twenty seven percent 93 00:04:41,040 --> 00:04:45,680 Speaker 6: year on year. Our data center business is exploding. We 94 00:04:45,680 --> 00:04:48,080 Speaker 6: were up one hundred percent year on year, probably north 95 00:04:48,080 --> 00:04:51,840 Speaker 6: of one hundred percent year on year. So to your question, no, 96 00:04:52,440 --> 00:04:55,440 Speaker 6: the memory situation isn't really impacting arms so directly. And 97 00:04:55,920 --> 00:04:59,159 Speaker 6: you might ask, well why is that? Well, Number one, 98 00:04:59,600 --> 00:05:01,680 Speaker 6: we are a spread across a lot of different businesses. 99 00:05:01,680 --> 00:05:04,800 Speaker 6: As I said, the data center business is increasingly growing 100 00:05:04,800 --> 00:05:06,520 Speaker 6: for us, and we think in a few years it'll 101 00:05:06,520 --> 00:05:07,520 Speaker 6: be our largest business. 102 00:05:08,400 --> 00:05:11,480 Speaker 7: Secondly, our products are used across the. 103 00:05:11,400 --> 00:05:14,640 Speaker 6: Board, so we tend to see in memory shortages is 104 00:05:14,800 --> 00:05:17,280 Speaker 6: the bottom end of the stack starts to get impacted, 105 00:05:18,120 --> 00:05:20,440 Speaker 6: and that's actually lower royalty rates for us. 106 00:05:20,520 --> 00:05:23,159 Speaker 7: So as a result, we don't get impacted very much. 107 00:05:23,240 --> 00:05:27,240 Speaker 6: So no, short answer is no impact this quarter, and 108 00:05:27,440 --> 00:05:30,520 Speaker 6: we raised our guidance for the next quarter because, as 109 00:05:30,560 --> 00:05:32,760 Speaker 6: I said, we're just not seeing that kind of impact, 110 00:05:32,760 --> 00:05:35,440 Speaker 6: but I'm not denying that it's there. But for the 111 00:05:35,560 --> 00:05:38,120 Speaker 6: ARMED business, the impact is quite minimal. 112 00:05:39,040 --> 00:05:40,120 Speaker 5: Renee, thank you for that. 113 00:05:40,400 --> 00:05:43,320 Speaker 2: Data center royalty revenue grown one hundred percent year on year, 114 00:05:43,360 --> 00:05:46,280 Speaker 2: As you outlined, I get the same question for you 115 00:05:46,360 --> 00:05:49,480 Speaker 2: from everyone's sell side through the buyside, which has give 116 00:05:49,560 --> 00:05:50,960 Speaker 2: me a specific year. 117 00:05:51,440 --> 00:05:52,640 Speaker 5: Market on the calendar. 118 00:05:53,160 --> 00:05:57,200 Speaker 2: When ARM goes from being handset to data center and 119 00:05:57,279 --> 00:06:00,279 Speaker 2: it accounts for more of your business, is that selection 120 00:06:00,440 --> 00:06:02,279 Speaker 2: points clear on your calendar? 121 00:06:02,320 --> 00:06:06,479 Speaker 6: At least it's very clear, And that's why in the 122 00:06:06,520 --> 00:06:10,000 Speaker 6: earnings call, I said in a few years. As you know, 123 00:06:10,040 --> 00:06:12,960 Speaker 6: we don't typically provide forward guidance on an annual basis, 124 00:06:13,560 --> 00:06:16,039 Speaker 6: but we have a line of a site that says 125 00:06:16,080 --> 00:06:19,760 Speaker 6: we see it coming and it's probably coming sooner than 126 00:06:19,800 --> 00:06:23,039 Speaker 6: we had thought. And the reason for that is the 127 00:06:23,120 --> 00:06:25,800 Speaker 6: data center growth. But if you click below that, why 128 00:06:25,880 --> 00:06:29,160 Speaker 6: is data center growing so rapidly, it is the a 129 00:06:29,520 --> 00:06:31,880 Speaker 6: presence of ARM CPUs in the data center. We're now 130 00:06:31,960 --> 00:06:35,880 Speaker 6: over fifty percent market share with the hyperscalers. Secondly, the 131 00:06:35,880 --> 00:06:39,080 Speaker 6: CPUs that are being used are using more arm CPUs 132 00:06:39,120 --> 00:06:42,000 Speaker 6: inside the chip one hundred and ninety two cores for 133 00:06:42,080 --> 00:06:48,200 Speaker 6: example inside a graviton chip going from ninety six VERA 134 00:06:48,240 --> 00:06:51,200 Speaker 6: and video VERA going from seventy two cores on grace 135 00:06:51,279 --> 00:06:53,520 Speaker 6: now to eighty eight. So what does that mean. That 136 00:06:53,600 --> 00:06:57,320 Speaker 6: means more cores, means more royalties and high growth rate. Well, 137 00:06:57,360 --> 00:06:59,679 Speaker 6: why are there more cores? When you think about agentic 138 00:06:59,720 --> 00:07:05,080 Speaker 6: AI and everything associated with agents moving workloads across systems, 139 00:07:05,560 --> 00:07:07,880 Speaker 6: managing workflows, et cetera, et cetera. That's the kind of 140 00:07:07,880 --> 00:07:11,400 Speaker 6: work only CPUs can do. So to your question, while 141 00:07:11,400 --> 00:07:13,720 Speaker 6: we're not giving a date, we can see it and 142 00:07:13,760 --> 00:07:16,080 Speaker 6: it's coming sooner than we had thought, even probably six 143 00:07:16,080 --> 00:07:17,080 Speaker 6: to nine months ago. 144 00:07:17,520 --> 00:07:19,240 Speaker 3: And probably on the back of when you look at 145 00:07:19,280 --> 00:07:23,160 Speaker 3: an alphabet increasing its capital expenditure by another well potentially 146 00:07:23,160 --> 00:07:26,720 Speaker 3: one hundred and eighty five billion dollars renee. Is the 147 00:07:26,960 --> 00:07:29,680 Speaker 3: AI bubble this worry about AI infrastructure build out a 148 00:07:29,680 --> 00:07:31,400 Speaker 3: thing of the past to you, or there are still 149 00:07:31,440 --> 00:07:33,720 Speaker 3: somewhat bottleneck issues that you're concerned about. 150 00:07:34,640 --> 00:07:37,640 Speaker 6: Yeah, so it's a great observation, Caroline, and yes, there's 151 00:07:37,760 --> 00:07:40,440 Speaker 6: huge growth in Google's capex not all of that one 152 00:07:40,520 --> 00:07:42,520 Speaker 6: hundred and eighty billion dollars as coming does of course, 153 00:07:42,880 --> 00:07:47,280 Speaker 6: but what does that say. We continue to see investments 154 00:07:47,760 --> 00:07:50,280 Speaker 6: in the data center, whether it's what Meta had announced 155 00:07:50,400 --> 00:07:54,880 Speaker 6: or Microsoft announced and now Google Alphabet that exceed what 156 00:07:55,000 --> 00:07:57,960 Speaker 6: people had originally thought was even possible even a couple 157 00:07:57,960 --> 00:08:00,480 Speaker 6: of years ago. If you go back to when we 158 00:08:00,520 --> 00:08:04,080 Speaker 6: announced the Stargate initiative in January of twenty twenty four, 159 00:08:04,880 --> 00:08:07,080 Speaker 6: five hundred billion dollars over a number of years, people 160 00:08:07,120 --> 00:08:09,280 Speaker 6: looked at those numbers and said, how is that even possible? 161 00:08:09,440 --> 00:08:15,040 Speaker 6: Now eighteen months later, it looks quite quite credible. So 162 00:08:15,880 --> 00:08:20,480 Speaker 6: bottom line is we are seeing such an investment because 163 00:08:20,520 --> 00:08:22,720 Speaker 6: the AI opportunity, the way I like to think about it, 164 00:08:22,760 --> 00:08:25,800 Speaker 6: is kind of the final frontier relative technology. When you 165 00:08:25,840 --> 00:08:29,080 Speaker 6: think about what could be on beyond AI, it's really 166 00:08:29,080 --> 00:08:32,679 Speaker 6: hard to imagine. So also the fact that AI has 167 00:08:32,760 --> 00:08:36,280 Speaker 6: really had very little penetration, let's say, into large enterprise 168 00:08:36,559 --> 00:08:40,040 Speaker 6: or into our health systems or things around drug discovery. 169 00:08:40,360 --> 00:08:42,080 Speaker 7: So there's a long, long runway. 170 00:08:42,120 --> 00:08:44,720 Speaker 6: I think people are a little nervous about it as 171 00:08:44,840 --> 00:08:47,880 Speaker 6: decidedly so because we've not seen it before, right we've 172 00:08:47,880 --> 00:08:50,040 Speaker 6: not seen the order of magnitude we're talking about, so 173 00:08:50,480 --> 00:08:52,560 Speaker 6: it's somewhat natural for you to look at it and say, well, 174 00:08:52,960 --> 00:08:55,319 Speaker 6: gravity's got to hit it sometime. But then if you're 175 00:08:55,320 --> 00:08:57,560 Speaker 6: a little intellectually look at it and say, my gosh, 176 00:08:57,840 --> 00:08:59,760 Speaker 6: is AI going to be something that will change and 177 00:08:59,760 --> 00:09:03,120 Speaker 6: trainansform how everything is done well? Of course, and then 178 00:09:03,200 --> 00:09:06,160 Speaker 6: there's going to be an investment to support that. And 179 00:09:06,200 --> 00:09:09,000 Speaker 6: that's what we're saying, investment. 180 00:09:08,559 --> 00:09:12,120 Speaker 3: To support that. We don't mention stargate. That immediately makes 181 00:09:12,120 --> 00:09:14,320 Speaker 3: me think of Massa. And you were clear on the 182 00:09:14,360 --> 00:09:16,720 Speaker 3: call yesterday that you've spoken to him. You don't think 183 00:09:16,760 --> 00:09:18,839 Speaker 3: Soft bangk is in any way going to sell down 184 00:09:18,880 --> 00:09:20,840 Speaker 3: at stake in ARM. But how much is that an 185 00:09:20,840 --> 00:09:22,839 Speaker 3: overhang in the longer term and how much actually do 186 00:09:22,880 --> 00:09:24,559 Speaker 3: you want to see more free float of your stock? 187 00:09:26,200 --> 00:09:29,080 Speaker 6: Well, I have one very large shareholder who I talked 188 00:09:29,120 --> 00:09:32,400 Speaker 6: to quite frequently who loves ARM and he's very long 189 00:09:32,440 --> 00:09:37,200 Speaker 6: on ARM. So he has no intention to sell at all. 190 00:09:37,240 --> 00:09:39,080 Speaker 6: And I shouldn't even say anytime soon. I don't know 191 00:09:39,360 --> 00:09:42,320 Speaker 6: when that would be. Quite frankly, we do talk about it. 192 00:09:42,400 --> 00:09:45,360 Speaker 6: He said he's got no interest in selling how that 193 00:09:45,400 --> 00:09:47,600 Speaker 6: impacts the float and etc. You know, that's not something 194 00:09:47,679 --> 00:09:49,960 Speaker 6: candidly I spend a whole lot of bandwidth thinking about. 195 00:09:50,480 --> 00:09:53,520 Speaker 6: But he's very, very long on ARM because he sees 196 00:09:53,600 --> 00:09:57,040 Speaker 6: the enormous opportunity that we have. And if you think 197 00:09:57,080 --> 00:10:00,040 Speaker 6: about what we've done since we've gone public, Carol, and 198 00:10:00,640 --> 00:10:03,360 Speaker 6: in the Flaw of twenty twenty three, we told the 199 00:10:03,360 --> 00:10:05,760 Speaker 6: world we'd be growing at twenty five percent year on 200 00:10:05,880 --> 00:10:07,920 Speaker 6: year for two three years, and people didn't believe it 201 00:10:07,960 --> 00:10:11,360 Speaker 6: was possible. Here we are now a couple of years later, 202 00:10:11,520 --> 00:10:14,439 Speaker 6: and we're beyond what we told investors during our roadshow, 203 00:10:14,440 --> 00:10:17,040 Speaker 6: and things are even stronger than they were at their time. 204 00:10:17,120 --> 00:10:18,880 Speaker 7: So as a result, he sees it. 205 00:10:19,160 --> 00:10:21,120 Speaker 6: He sees probably more of the data than anyone does, 206 00:10:21,440 --> 00:10:24,200 Speaker 6: and that's why he's not selling RAN now. 207 00:10:24,200 --> 00:10:25,440 Speaker 5: I want to go back to CPU. 208 00:10:25,760 --> 00:10:29,720 Speaker 2: January twenty sixth, Bloomberg speaks to Nvidia CEO Jensen Wang, 209 00:10:30,320 --> 00:10:33,680 Speaker 2: and he speaks for the first time about selling to 210 00:10:33,720 --> 00:10:37,760 Speaker 2: the market via CPU as a standalone. And that seems 211 00:10:37,800 --> 00:10:41,600 Speaker 2: critically important because if you think about the pipeline for 212 00:10:41,720 --> 00:10:46,720 Speaker 2: Blackwell and Rubin, right, those are GPUs coded in on 213 00:10:46,840 --> 00:10:51,760 Speaker 2: based architecture and those building they don't want to sort 214 00:10:51,760 --> 00:10:55,480 Speaker 2: of have to cross pollinate x eighty six based platforms 215 00:10:55,520 --> 00:10:59,040 Speaker 2: with their ARM based GPUs. It seemed to be really substantive. 216 00:11:00,080 --> 00:11:03,160 Speaker 2: You explain how much of a boost that was for 217 00:11:03,360 --> 00:11:08,440 Speaker 2: ARM and whether this idea that the VIA CPU goes 218 00:11:08,440 --> 00:11:11,560 Speaker 2: into the market as a standalone product changes the trajectory 219 00:11:11,559 --> 00:11:13,280 Speaker 2: at all, because at the same time a video talks 220 00:11:13,360 --> 00:11:16,880 Speaker 2: up about how much content it owns proportionally in the 221 00:11:16,920 --> 00:11:17,800 Speaker 2: overall system. 222 00:11:18,520 --> 00:11:21,960 Speaker 6: Just take it and run with it, please, Yeah, you know, so, 223 00:11:22,040 --> 00:11:25,200 Speaker 6: first off, thrilled to see Jensen say that they're a 224 00:11:25,200 --> 00:11:27,640 Speaker 6: great partner and Vera is a great product. 225 00:11:27,720 --> 00:11:30,079 Speaker 7: And as I mentioned earlier, VERA has gone from. 226 00:11:30,559 --> 00:11:34,040 Speaker 6: Has gone now eighty eight CPUs inside it CPU cores 227 00:11:34,320 --> 00:11:37,520 Speaker 6: from seventy two. So why is that a really good 228 00:11:37,520 --> 00:11:41,199 Speaker 6: thing for us going forward? Well, primarily because when you 229 00:11:41,240 --> 00:11:44,240 Speaker 6: think about the data centers and how they're evolving to 230 00:11:44,360 --> 00:11:48,720 Speaker 6: from what is general purpose compute moving to AI compute 231 00:11:49,120 --> 00:11:52,640 Speaker 6: a mix of training and inference, and those inference workloads 232 00:11:52,679 --> 00:11:55,440 Speaker 6: are urgentic. That's right down the center of the plate 233 00:11:55,520 --> 00:11:57,680 Speaker 6: for what the CPU not only is good at, but 234 00:11:57,800 --> 00:12:01,440 Speaker 6: can only do, can only do. So what that means 235 00:12:01,559 --> 00:12:03,520 Speaker 6: is inside the data center. You're going to start to 236 00:12:03,520 --> 00:12:07,720 Speaker 6: see movement towards a homogeneous type of structure where people 237 00:12:07,760 --> 00:12:10,440 Speaker 6: would love to have the ARM stack running almost everything. 238 00:12:10,480 --> 00:12:12,880 Speaker 6: It's just easier from a maintenance standpoint, it's easier from 239 00:12:12,920 --> 00:12:16,720 Speaker 6: an upgrade standpoint, it's easier from a cost standpoint. So 240 00:12:17,559 --> 00:12:20,720 Speaker 6: and also the flexibility it can affords you can build 241 00:12:20,760 --> 00:12:24,840 Speaker 6: a tremendously efficient custom system based on ARM. The Vera 242 00:12:24,960 --> 00:12:30,040 Speaker 6: Reuben platform AD compared to Grace Blackwell uses six x 243 00:12:30,080 --> 00:12:31,880 Speaker 6: the number of CPUs and that's when you look at 244 00:12:31,880 --> 00:12:36,000 Speaker 6: the storage, the DPU, the offload. That's a huge increase. 245 00:12:36,440 --> 00:12:39,960 Speaker 6: So yes, selling loose veras that's a great thing. We're 246 00:12:40,000 --> 00:12:40,920 Speaker 6: super happy to see that. 247 00:12:41,320 --> 00:12:44,000 Speaker 3: Briefly, Renee, you have such a bird side perspective because 248 00:12:44,040 --> 00:12:47,439 Speaker 3: you're working with Nvidia, but also you're working with open Ai. 249 00:12:47,559 --> 00:12:50,440 Speaker 3: It was reported potentially was looking with you at your 250 00:12:50,640 --> 00:12:53,480 Speaker 3: technology to be working with its own custom ship with Broadcom. 251 00:12:53,559 --> 00:12:55,560 Speaker 3: You've got Meta looking at custom chips you of course, 252 00:12:55,880 --> 00:12:58,199 Speaker 3: how do you see this evolving? 253 00:12:59,760 --> 00:13:02,160 Speaker 7: Yeah, I have a lucky job. 254 00:13:02,240 --> 00:13:04,960 Speaker 6: I get to work with just about everybody in the 255 00:13:05,000 --> 00:13:10,240 Speaker 6: industry across the planet, whether it's in the fab foundry area, 256 00:13:10,400 --> 00:13:13,080 Speaker 6: whether it is a chip company, whether it's an OEM, 257 00:13:13,120 --> 00:13:15,440 Speaker 6: whether it's a software provider. We work and talk to 258 00:13:15,440 --> 00:13:19,440 Speaker 6: everyone because ARM is just so pervasive. The common theme 259 00:13:19,800 --> 00:13:23,480 Speaker 6: we see is continued investment in AI, and not just 260 00:13:23,520 --> 00:13:26,040 Speaker 6: at the data center. It's trying to figure out how 261 00:13:26,040 --> 00:13:28,800 Speaker 6: do you run those AI workloads everywhere? 262 00:13:29,480 --> 00:13:31,160 Speaker 7: How do you run them in wearables, how. 263 00:13:31,040 --> 00:13:33,160 Speaker 6: Do you continue to make them more efficient in a 264 00:13:33,360 --> 00:13:36,480 Speaker 6: smartphone or a PC, or in physical AI, whether it's 265 00:13:36,520 --> 00:13:40,400 Speaker 6: autonomous driving and or robotics. So we're involved in all 266 00:13:40,400 --> 00:13:44,760 Speaker 6: the conversations and the common theme is heavy, heavy investment. 267 00:13:44,880 --> 00:13:46,960 Speaker 6: And one of the challenges that we see in the 268 00:13:47,040 --> 00:13:50,400 Speaker 6: chip world around this is, as you know, it takes 269 00:13:50,440 --> 00:13:52,160 Speaker 6: a couple of years to build a chip, the IP 270 00:13:52,360 --> 00:13:54,920 Speaker 6: that we developed that goes into the chips a couple 271 00:13:55,040 --> 00:13:57,440 Speaker 6: maybe a couple of years in before it. Trying to 272 00:13:57,480 --> 00:14:00,760 Speaker 6: predict what the architectures look like four years after the 273 00:14:00,840 --> 00:14:04,240 Speaker 6: chip has been designed where the AI models are going 274 00:14:04,400 --> 00:14:07,439 Speaker 6: is really very tricky. That lends itself also though, very 275 00:14:07,440 --> 00:14:10,839 Speaker 6: well to ARM because we are programmable, we are flexible, 276 00:14:11,280 --> 00:14:15,160 Speaker 6: and we are low power, meaning that wherever the chips 277 00:14:15,240 --> 00:14:17,520 Speaker 6: drop no pun intended, we should be in a very 278 00:14:17,520 --> 00:14:19,720 Speaker 6: good position to be able to drive those workloads. 279 00:14:20,400 --> 00:14:23,480 Speaker 3: I'm cia n A has with the broader perspective. We 280 00:14:23,560 --> 00:14:25,720 Speaker 3: thank you for it. Now coming up, we got more 281 00:14:25,720 --> 00:14:29,400 Speaker 3: earnings to talk about. Alphabet's results. Expectations for Amazon just 282 00:14:29,400 --> 00:14:30,400 Speaker 3: coming thick and fast, folks. 283 00:14:30,440 --> 00:14:31,520 Speaker 8: As a bitty bag tech. 284 00:14:36,320 --> 00:14:39,520 Speaker 3: Record spending by cloud providers, Well, it's raining on the parade. 285 00:14:39,240 --> 00:14:40,080 Speaker 8: Of big tech earnings. 286 00:14:40,120 --> 00:14:42,600 Speaker 3: Following Alphabet's results last night, Let's talk it through with 287 00:14:42,680 --> 00:14:47,120 Speaker 3: Ioko Yoshioka, who say with Wealth Enhancement Group. Ioko, it 288 00:14:47,120 --> 00:14:50,280 Speaker 3: looked at one point after the announcement yesterday that we 289 00:14:50,280 --> 00:14:52,360 Speaker 3: were going the way of Meta that even though Capex 290 00:14:52,440 --> 00:14:55,040 Speaker 3: was going up, we were celebrating the AI rewards and 291 00:14:55,080 --> 00:14:58,040 Speaker 3: the revenue boost, and then we went more the way 292 00:14:58,280 --> 00:15:00,320 Speaker 3: of Microsoft and we were worrying about the said to 293 00:15:00,360 --> 00:15:02,280 Speaker 3: the Kapex are you selling on this? 294 00:15:03,920 --> 00:15:07,200 Speaker 9: No, Caroline, We're not selling on this. You know, these 295 00:15:07,280 --> 00:15:11,000 Speaker 9: companies are still high quality companies and they're still growing 296 00:15:11,200 --> 00:15:14,440 Speaker 9: very quickly. I think it's just an adjustment from a 297 00:15:14,520 --> 00:15:18,680 Speaker 9: valuation standpoint in terms of what are these companies worth 298 00:15:18,760 --> 00:15:21,160 Speaker 9: over the long term, how much longer are they going 299 00:15:21,200 --> 00:15:25,040 Speaker 9: to be spending at these levels, because the issue for 300 00:15:25,240 --> 00:15:28,720 Speaker 9: investors is really just the sort of collapse in free 301 00:15:28,720 --> 00:15:31,440 Speaker 9: cash flow that we, you know, have been just grown 302 00:15:31,440 --> 00:15:34,760 Speaker 9: accustomed to. These these companies used to return so much 303 00:15:34,760 --> 00:15:37,240 Speaker 9: of that free cash flow to shareholders and now it's 304 00:15:37,280 --> 00:15:40,280 Speaker 9: being spent for investment for good reason, and over the 305 00:15:40,320 --> 00:15:41,600 Speaker 9: long term this should. 306 00:15:41,360 --> 00:15:42,280 Speaker 5: Help them grow. 307 00:15:42,640 --> 00:15:45,480 Speaker 9: However, it just means that the investor kind of gets 308 00:15:45,480 --> 00:15:48,000 Speaker 9: put to the to the side for a little bit. 309 00:15:49,200 --> 00:15:51,360 Speaker 3: Are you worried in any way about the free cash 310 00:15:51,360 --> 00:15:54,080 Speaker 3: flow the alphabet is perhaps taking a hit on because 311 00:15:54,120 --> 00:15:56,000 Speaker 3: from what we could understand from the numbers, in fact, 312 00:15:56,120 --> 00:15:58,960 Speaker 3: the becoming ever more efficient. The marginison is being supported 313 00:15:59,000 --> 00:16:02,480 Speaker 3: because they're to be integrated. They're able to cash in 314 00:16:02,560 --> 00:16:05,600 Speaker 3: on growing cloud and focus on compute much more than 315 00:16:05,680 --> 00:16:06,440 Speaker 3: rivals per se. 316 00:16:07,440 --> 00:16:11,000 Speaker 9: Absolutely, I mean with you know, the cloud business growing 317 00:16:11,040 --> 00:16:15,600 Speaker 9: forty eight percent, well beyond what investors were expecting at 318 00:16:15,640 --> 00:16:19,920 Speaker 9: around thirty percent. If that continues, the investment that they're 319 00:16:19,960 --> 00:16:24,560 Speaker 9: doing is justified, and I think investors will eventually reward 320 00:16:24,600 --> 00:16:27,640 Speaker 9: them for that. It's just in the meantime. Meantime just 321 00:16:27,760 --> 00:16:31,160 Speaker 9: recalibrating really what you want to pay. And the momentum 322 00:16:31,160 --> 00:16:34,800 Speaker 9: had been so strong for Alphabet going into earnings that 323 00:16:34,880 --> 00:16:38,000 Speaker 9: there's just a little bit of a you know, take 324 00:16:38,080 --> 00:16:40,520 Speaker 9: profit attitude going on in marketing. 325 00:16:40,560 --> 00:16:44,200 Speaker 2: Right, Okay, let's bring back the capital expended. Just chart, 326 00:16:44,360 --> 00:16:46,960 Speaker 2: wait for some TV magic. It's going to appear any second. 327 00:16:47,280 --> 00:16:50,120 Speaker 2: And then you look at that and you go, my goodness, 328 00:16:51,520 --> 00:16:53,640 Speaker 2: you know it is Caro called it mic drop moment. 329 00:16:53,680 --> 00:16:54,360 Speaker 5: It is shocking. 330 00:16:54,840 --> 00:16:58,040 Speaker 2: But what you said a moment ago, Google Cloud growing 331 00:16:58,040 --> 00:17:03,000 Speaker 2: at forty eight percent, Like the whole Microsoft anxiety was 332 00:17:03,000 --> 00:17:05,960 Speaker 2: that Azure was off by a percentage point? Why is 333 00:17:06,040 --> 00:17:10,080 Speaker 2: Alphabet not getting the credit for the Google Cloud growth? 334 00:17:10,560 --> 00:17:13,240 Speaker 2: And everyone's just staring at that chart. 335 00:17:15,480 --> 00:17:16,479 Speaker 5: It's a great question. 336 00:17:16,680 --> 00:17:20,160 Speaker 9: I mean, you know, Microsoft missed by zero point four percent. 337 00:17:20,920 --> 00:17:23,960 Speaker 9: You know they posted thirty nine percent instead of thirty 338 00:17:24,000 --> 00:17:27,760 Speaker 9: nine point four, and you know, yet Google really sort 339 00:17:27,800 --> 00:17:30,159 Speaker 9: of blew it out of the water. And you know, 340 00:17:30,440 --> 00:17:33,640 Speaker 9: I really feel like it's that focus on that CAPAC 341 00:17:33,720 --> 00:17:37,359 Speaker 9: spend in twenty twenty six more so than anything else. 342 00:17:37,760 --> 00:17:40,760 Speaker 9: It's great that we're seeing that growth on the cloud 343 00:17:40,800 --> 00:17:44,720 Speaker 9: for both Microsoft and for Alphabet, but really it's that 344 00:17:44,920 --> 00:17:48,160 Speaker 9: spend in order to get those growth numbers, I think 345 00:17:48,240 --> 00:17:50,280 Speaker 9: is what is giving investors a little pause. 346 00:17:51,760 --> 00:17:53,479 Speaker 5: Amazon's down four percent. 347 00:17:53,920 --> 00:17:56,280 Speaker 2: How much is that just anxiety about what they will 348 00:17:56,400 --> 00:17:57,560 Speaker 2: won't need to say tonight? 349 00:17:58,920 --> 00:17:59,400 Speaker 8: Absolutely? 350 00:17:59,480 --> 00:18:01,199 Speaker 9: I think I'll lot of it has to do with 351 00:18:01,280 --> 00:18:04,000 Speaker 9: the anxiety about what they'll say tonight and how much 352 00:18:04,840 --> 00:18:07,080 Speaker 9: investors might be off or the street might be off. 353 00:18:07,119 --> 00:18:10,200 Speaker 9: In terms of the estimate for twenty twenty six CAPEX 354 00:18:10,520 --> 00:18:14,520 Speaker 9: for Amazon, I think investors are anticipating about one hundred 355 00:18:14,520 --> 00:18:17,400 Speaker 9: and twenty five billion in spend, which is up twenty 356 00:18:17,480 --> 00:18:20,679 Speaker 9: two percent or so from twenty twenty five. And so 357 00:18:20,800 --> 00:18:23,760 Speaker 9: we'll have to see if Amazon decides to spend a 358 00:18:23,760 --> 00:18:24,400 Speaker 9: little bit more. 359 00:18:26,240 --> 00:18:29,600 Speaker 2: Yoka Yoshoka, Wealth Enhancement Group, really good summary of what's 360 00:18:29,640 --> 00:18:31,080 Speaker 2: going on in the mag seven. 361 00:18:31,119 --> 00:18:32,199 Speaker 5: Thank you so much for coming up. 362 00:18:32,440 --> 00:18:36,320 Speaker 2: AI tools keep coming for the enterprise software market, But 363 00:18:36,400 --> 00:18:40,000 Speaker 2: will they be the existential threat that investors fit? 364 00:18:40,040 --> 00:18:42,520 Speaker 5: We've got more on that next. This is been Big Tech. 365 00:18:50,320 --> 00:18:52,840 Speaker 3: And it's introducing a new platform to help companies deploy 366 00:18:53,000 --> 00:18:55,919 Speaker 3: AI agents more easily and pave the way for broader 367 00:18:55,960 --> 00:18:59,560 Speaker 3: adoption among corporate customers. The new product called Frontier, and 368 00:18:59,640 --> 00:19:03,000 Speaker 3: iizations to build and manage those AI tools so that 369 00:19:03,119 --> 00:19:06,520 Speaker 3: each agent has appropriate guardrails and data access ed. 370 00:19:06,520 --> 00:19:07,040 Speaker 8: What have you got? 371 00:19:07,880 --> 00:19:11,760 Speaker 2: Speaking of the enterprise shakeup caused by AI anthropics, legal 372 00:19:11,800 --> 00:19:14,440 Speaker 2: plug in, for its clawed cowork, may not be as 373 00:19:14,480 --> 00:19:18,359 Speaker 2: devastating a blow to legal solutions providers as according to 374 00:19:18,400 --> 00:19:21,919 Speaker 2: research from John Davies at Bloomberg Intelligence, who joins us 375 00:19:21,920 --> 00:19:24,800 Speaker 2: now at John as someone that's suffered through years of 376 00:19:24,880 --> 00:19:26,879 Speaker 2: law school and was born to two attorneys. 377 00:19:27,600 --> 00:19:28,719 Speaker 5: I enjoyed reading it. 378 00:19:29,080 --> 00:19:35,480 Speaker 2: Your conclusion is that Claude Legal is insufficiently expert to 379 00:19:35,960 --> 00:19:38,720 Speaker 2: mount a challenge. Just dig a bit deeper into your thesis. 380 00:19:40,080 --> 00:19:41,080 Speaker 10: Absolutely, and hello. 381 00:19:41,440 --> 00:19:45,760 Speaker 11: I think the key thing is that all these generic 382 00:19:45,840 --> 00:19:48,879 Speaker 11: tools don't have access to the vast googles of data 383 00:19:49,480 --> 00:19:53,760 Speaker 11: which the very specialized tools which the established companies have 384 00:19:53,960 --> 00:19:57,560 Speaker 11: access to, which it built up really over many decades, 385 00:19:57,600 --> 00:20:02,760 Speaker 11: even centuries. In some cases, they're not easily replicable sets 386 00:20:02,800 --> 00:20:05,679 Speaker 11: of data. It's a lot of shoe leather involved. You've 387 00:20:05,680 --> 00:20:08,359 Speaker 11: got to visit vast numbers of courthouses, and it's not 388 00:20:08,400 --> 00:20:10,600 Speaker 11: simply a question of digitizing the information. 389 00:20:11,000 --> 00:20:12,639 Speaker 10: You've also got to put it in context. 390 00:20:13,160 --> 00:20:16,440 Speaker 11: So the companies we're talking about here are West Law 391 00:20:16,640 --> 00:20:20,440 Speaker 11: and Lexus and Nexus each employ many hundreds of legal 392 00:20:20,440 --> 00:20:24,040 Speaker 11: professionals and have done for a very long time, and 393 00:20:24,080 --> 00:20:28,359 Speaker 11: all that information is caught up inside their products. And 394 00:20:28,400 --> 00:20:31,440 Speaker 11: that's the thing which I think the generic tools won't 395 00:20:31,480 --> 00:20:34,200 Speaker 11: have access to don't have access to, and therefore they're 396 00:20:34,240 --> 00:20:37,760 Speaker 11: more likely to make mistakes, to hallucinate and to lead 397 00:20:37,800 --> 00:20:41,280 Speaker 11: people astray. And you can't really work this stuff out 398 00:20:41,280 --> 00:20:43,879 Speaker 11: from first principles because sometimes the law defies logic. 399 00:20:44,200 --> 00:20:46,280 Speaker 10: It's not really like a science problem. 400 00:20:46,080 --> 00:20:48,679 Speaker 5: Here defies logic. 401 00:20:49,040 --> 00:20:51,760 Speaker 8: It's interesting John that in many ways. 402 00:20:52,200 --> 00:20:55,200 Speaker 3: Look Claude Cowork had said that in a statement, they said, look, 403 00:20:55,200 --> 00:20:56,800 Speaker 3: you still need a human in the loop. We're not 404 00:20:57,040 --> 00:21:00,439 Speaker 3: suggesting this to just run wildly free. And particularly we 405 00:21:00,440 --> 00:21:03,840 Speaker 3: had an investor on yesterday, Ude Charuvu who's from Harding Loafner, 406 00:21:03,840 --> 00:21:05,600 Speaker 3: who is saying the thing with the Lexus and Nexus though, 407 00:21:05,640 --> 00:21:06,960 Speaker 3: is that it is a point solution, it's not a 408 00:21:06,960 --> 00:21:09,440 Speaker 3: platform solution. And that's why people have the anxiety that 409 00:21:09,640 --> 00:21:12,440 Speaker 3: might be knocked out in such a way. What more 410 00:21:12,800 --> 00:21:16,880 Speaker 3: could we see from these AI developments that might give 411 00:21:16,960 --> 00:21:20,480 Speaker 3: you pause about Alexus, Nexus or whoever's being competed against. 412 00:21:22,560 --> 00:21:24,520 Speaker 11: I think if they, if they do somehow manage to 413 00:21:24,520 --> 00:21:27,000 Speaker 11: gain access to the data, and clearly, you know, while 414 00:21:27,200 --> 00:21:30,040 Speaker 11: it's expensive to replicate, these companies have a vast amount 415 00:21:30,040 --> 00:21:33,399 Speaker 11: of money, so that could be could be one angle, 416 00:21:34,320 --> 00:21:37,200 Speaker 11: and I guess I guess the other one is if 417 00:21:37,240 --> 00:21:39,320 Speaker 11: in some way it's a bit like proving a negative 418 00:21:39,320 --> 00:21:42,040 Speaker 11: but if they can somehow prove that they're no longer hallucinating, 419 00:21:43,320 --> 00:21:45,520 Speaker 11: then and they can they can point to where they 420 00:21:45,520 --> 00:21:47,760 Speaker 11: don't have the knowledge and say, okay, beyond this point 421 00:21:48,040 --> 00:21:49,480 Speaker 11: you need as a lawyer to go and do the 422 00:21:49,560 --> 00:21:52,040 Speaker 11: work yourself. But here is the kind of basic tool 423 00:21:52,119 --> 00:21:54,960 Speaker 11: set that could become quite a useful product which could 424 00:21:55,000 --> 00:21:59,280 Speaker 11: be sold, perhaps at a much lower cost than the 425 00:22:00,040 --> 00:22:02,680 Speaker 11: number of providers have at the moment. But it really 426 00:22:02,720 --> 00:22:05,119 Speaker 11: seems like quite a stretch, and there's an enormous amount 427 00:22:05,160 --> 00:22:10,160 Speaker 11: of experience built into the use of the existing products 428 00:22:10,920 --> 00:22:12,920 Speaker 11: people have been using in the decades, much. 429 00:22:12,800 --> 00:22:15,639 Speaker 10: Like they have various tools in financial markets. 430 00:22:15,320 --> 00:22:19,400 Speaker 3: And your notes point out they've also been enthusiastic adoptors 431 00:22:19,400 --> 00:22:23,439 Speaker 3: of AI themselves, so have been major innovating too. John Davies, 432 00:22:23,560 --> 00:22:26,119 Speaker 3: Bloomberg Intelligence is a great note. Thanks for bringing it 433 00:22:26,119 --> 00:22:28,440 Speaker 3: to us. Meanwhile, coming up, put it all about crypto 434 00:22:28,640 --> 00:22:31,680 Speaker 3: increasingly under pressure. We'll break down what's behind these moves. Next, 435 00:22:32,320 --> 00:22:33,240 Speaker 3: this is Bloomberg Tech. 436 00:22:42,600 --> 00:22:44,040 Speaker 5: Welcome back to Bloomberg Tech. 437 00:22:44,119 --> 00:22:47,399 Speaker 2: In the last thirty minutes or so, actually markets have 438 00:22:47,440 --> 00:22:49,399 Speaker 2: come off session lows and as that one hundred is 439 00:22:49,440 --> 00:22:52,440 Speaker 2: down nine tenths of a percent, had been down about 440 00:22:52,480 --> 00:22:54,920 Speaker 2: one point eight percent and trading at its lowest level 441 00:22:54,960 --> 00:22:57,560 Speaker 2: since November. We'll keep an eye out on the Bloomberg terminal. 442 00:22:57,600 --> 00:22:59,600 Speaker 2: I'm not really sure what the news flow is. Maybe 443 00:22:59,600 --> 00:23:02,440 Speaker 2: this is just to kind of market sentiment thing that's 444 00:23:02,480 --> 00:23:05,800 Speaker 2: going on. Earnings though, of course, are a big factor 445 00:23:05,800 --> 00:23:08,320 Speaker 2: in it. We talked about Alphabet, which itself is on 446 00:23:08,359 --> 00:23:10,760 Speaker 2: track for its worst day since May. After the bell, 447 00:23:10,800 --> 00:23:13,879 Speaker 2: we get Amazon, and Amazon's down four percent. Right, you 448 00:23:13,920 --> 00:23:16,720 Speaker 2: don't usually see a name that's going to report earnings 449 00:23:16,760 --> 00:23:21,320 Speaker 2: after the bell decline with that conviction, usually you're treading water. 450 00:23:21,720 --> 00:23:24,959 Speaker 2: But because Alphabet, the parent of Google, posted such a 451 00:23:25,240 --> 00:23:29,000 Speaker 2: monster capital expenditures forecast for this year one hundred and 452 00:23:29,040 --> 00:23:31,880 Speaker 2: eighty five billion dollars, maybe there's some read through their cara. 453 00:23:31,960 --> 00:23:34,920 Speaker 2: Maybe the market's like, oh wow, what's Amazon going to say? 454 00:23:34,960 --> 00:23:37,520 Speaker 2: Like what do we thinks coming here? And of course 455 00:23:37,560 --> 00:23:38,159 Speaker 2: we're bracing. 456 00:23:38,480 --> 00:23:42,120 Speaker 3: Yeah, we're bracing. Meanwhile, well, if you're bracing for crypto 457 00:23:42,440 --> 00:23:44,880 Speaker 3: to be falling further, you got that delivered. We're off 458 00:23:44,880 --> 00:23:48,639 Speaker 3: by six percent today, we're below the important seventy thousand 459 00:23:48,680 --> 00:23:51,639 Speaker 3: dollars level, and that negative momentum is just accelerating across 460 00:23:51,640 --> 00:23:52,840 Speaker 3: cryptocurrency is written large. 461 00:23:52,880 --> 00:23:54,320 Speaker 8: Look, it's driven maybe. 462 00:23:54,040 --> 00:23:57,400 Speaker 3: In part by vanishing marginal demand amid this week's volatility 463 00:23:57,440 --> 00:24:00,719 Speaker 3: in other areas tech equities, precious metals. The most cryptove 464 00:24:00,800 --> 00:24:05,280 Speaker 3: reporter Ioshan joins us, Now we are is this people 465 00:24:05,400 --> 00:24:08,000 Speaker 3: selling crypto to cover losses elsewhere? 466 00:24:08,440 --> 00:24:10,199 Speaker 8: Is it more fundamental than that? 467 00:24:11,119 --> 00:24:14,440 Speaker 12: Right now, it feels like there's some more fundamental issues 468 00:24:14,480 --> 00:24:17,240 Speaker 12: within the cryptoal industry style based on what I'm talking 469 00:24:17,480 --> 00:24:19,840 Speaker 12: like everyone I'm talking to in the crypto industry, there's 470 00:24:19,920 --> 00:24:23,800 Speaker 12: a crisis face right, Like you know digital digital currencies 471 00:24:23,880 --> 00:24:26,840 Speaker 12: like promise of like we build this like internet like 472 00:24:26,960 --> 00:24:30,400 Speaker 12: Internet money, and that's kind of disappearing because like when 473 00:24:30,440 --> 00:24:33,080 Speaker 12: prices are going down of assi class that's supposed to 474 00:24:33,560 --> 00:24:36,000 Speaker 12: be going up, that's like really hard to sell the moment. 475 00:24:36,080 --> 00:24:37,119 Speaker 8: It's a store of value. 476 00:24:37,119 --> 00:24:38,760 Speaker 5: It yes, losing faith. 477 00:24:38,720 --> 00:24:41,680 Speaker 12: Yeah, not just not just bicoin as a digital goal. 478 00:24:41,880 --> 00:24:46,200 Speaker 12: Also other cryptocurrencies, right, like you see like Etherian Solana. 479 00:24:46,280 --> 00:24:49,080 Speaker 12: All these blockchains and crypto are supposed to sort of 480 00:24:49,080 --> 00:24:52,119 Speaker 12: build like rebuild a Wall Street and rebuild fintech and 481 00:24:52,240 --> 00:24:55,160 Speaker 12: Neil Bank and whatsoever. But that's not really happen right now. 482 00:24:55,200 --> 00:24:58,160 Speaker 12: Even if they're happening, as we're seeing some adoption from 483 00:24:58,200 --> 00:25:02,119 Speaker 12: Wall Street for example, right we start institutes are getting 484 00:25:02,119 --> 00:25:05,119 Speaker 12: into the space, but that's also not affecting prices. I 485 00:25:05,119 --> 00:25:07,439 Speaker 12: think that's a bigger puzzle for the industry to resolve 486 00:25:07,480 --> 00:25:08,000 Speaker 12: at the moment. 487 00:25:08,760 --> 00:25:12,520 Speaker 2: I think you wrote a really excellent summary using data 488 00:25:12,560 --> 00:25:15,840 Speaker 2: in the chart that actually, for all the hype around bitcoin, 489 00:25:15,880 --> 00:25:19,120 Speaker 2: if you compare to other asset classes, it has lagged, 490 00:25:19,400 --> 00:25:21,720 Speaker 2: not just in the short term but on a longer 491 00:25:21,800 --> 00:25:22,520 Speaker 2: term basis. 492 00:25:22,560 --> 00:25:23,960 Speaker 5: Just explain the reporting. 493 00:25:25,400 --> 00:25:28,200 Speaker 12: I think the issue is that, like you know, Bitcoin 494 00:25:28,240 --> 00:25:32,000 Speaker 12: is supposed to be like the digital gold, but what's 495 00:25:32,040 --> 00:25:34,879 Speaker 12: happening again, as I just mentioned to Caroline, that is like, 496 00:25:35,119 --> 00:25:36,920 Speaker 12: you know, we have this digital gold that's price is 497 00:25:36,960 --> 00:25:39,440 Speaker 12: supposed to go up, but we are seeing that gold 498 00:25:39,480 --> 00:25:42,159 Speaker 12: and solar prices are going up, but meanwhile Bitcoin is selling. 499 00:25:42,640 --> 00:25:45,199 Speaker 12: That's the issue of crypto right, like you don't have 500 00:25:45,600 --> 00:25:49,520 Speaker 12: a fundamental happening right now. That's like proving what like 501 00:25:49,560 --> 00:25:52,040 Speaker 12: all the bitcoin fans are trying to sell to the 502 00:25:52,119 --> 00:25:53,200 Speaker 12: market at the moment. 503 00:25:53,600 --> 00:25:55,480 Speaker 5: Right the most motion, thank you very much. 504 00:25:55,520 --> 00:25:59,720 Speaker 2: Another source of pain right now software debt, and just 505 00:25:59,760 --> 00:26:03,080 Speaker 2: for weeks, nearly eighteen billion dollars in loans has been 506 00:26:03,119 --> 00:26:07,240 Speaker 2: pushed into distressed territory, the highest level since October twenty 507 00:26:07,280 --> 00:26:10,520 Speaker 2: twenty two. For more, Bloomberg Americans finance edits a Sally 508 00:26:10,560 --> 00:26:14,080 Speaker 2: Bakeworld joins a Sally. There's enough anxiety and concern in 509 00:26:14,119 --> 00:26:17,160 Speaker 2: the market right now as software before we even started 510 00:26:17,480 --> 00:26:20,240 Speaker 2: writing about the debt pile. But it's the smart thing 511 00:26:20,320 --> 00:26:23,280 Speaker 2: to do explain what's at issue here, right and in 512 00:26:23,359 --> 00:26:25,800 Speaker 2: that kind of milestone that I just read out. 513 00:26:26,160 --> 00:26:29,560 Speaker 13: So I think the big question here for debt investors, 514 00:26:29,560 --> 00:26:31,600 Speaker 13: for the market more broadly, is how much of this 515 00:26:31,720 --> 00:26:36,520 Speaker 13: sell off in loans that are tied to software is justified. Now, 516 00:26:36,640 --> 00:26:38,399 Speaker 13: that's the big question that we can get to. But 517 00:26:38,440 --> 00:26:41,720 Speaker 13: in the meantime, it is providing a lot of potential 518 00:26:41,720 --> 00:26:45,200 Speaker 13: opportunities for investors who are scaring the market looking for 519 00:26:45,280 --> 00:26:48,520 Speaker 13: companies that are sort of good software loans I that 520 00:26:48,600 --> 00:26:52,760 Speaker 13: can withstand and maybe even benefit from AI, versus those 521 00:26:52,800 --> 00:26:55,400 Speaker 13: that are likely to be made obsolete or have their 522 00:26:55,440 --> 00:26:57,760 Speaker 13: revenue severely stressed by AI. 523 00:26:58,160 --> 00:26:59,359 Speaker 8: So that's sort of the big question. 524 00:26:59,400 --> 00:27:02,280 Speaker 13: And what is interesting is the sort of spirited defense 525 00:27:02,680 --> 00:27:05,480 Speaker 13: that some of the loan buying community, some of the 526 00:27:05,480 --> 00:27:08,919 Speaker 13: biggest loan buyers, have come out with. Aries said some 527 00:27:08,960 --> 00:27:11,639 Speaker 13: interesting things on its earnings call that you know, there 528 00:27:11,640 --> 00:27:14,040 Speaker 13: are different kinds of kinds of companies and a lot 529 00:27:14,080 --> 00:27:17,000 Speaker 13: of them will benefit from AI, and that AI cannot 530 00:27:17,080 --> 00:27:22,679 Speaker 13: actually replicate replicate a database, It cannot replicate proprietary data, 531 00:27:22,840 --> 00:27:26,840 Speaker 13: and so if you build a software portfolio around elements 532 00:27:26,920 --> 00:27:30,119 Speaker 13: like that, you can actually build a portfolio that's resistant 533 00:27:30,240 --> 00:27:32,720 Speaker 13: to AI and actually will benefit from it. 534 00:27:33,200 --> 00:27:36,960 Speaker 3: In fact, Mike Arraghetti join previous earlier shows. Today the 535 00:27:37,040 --> 00:27:39,880 Speaker 3: CEO of ARES talking about people are not really understanding 536 00:27:39,920 --> 00:27:42,880 Speaker 3: how senior and safe a lot of these loans are 537 00:27:42,960 --> 00:27:45,000 Speaker 3: as well. Is this a case of sort of throwing 538 00:27:45,000 --> 00:27:46,719 Speaker 3: the baby out with the bath water, or when are 539 00:27:46,760 --> 00:27:50,040 Speaker 3: we starting to potentially see people getting more nuanced on 540 00:27:50,080 --> 00:27:54,679 Speaker 3: which loans are exposed, which software names aren't adopting AI 541 00:27:54,680 --> 00:27:55,880 Speaker 3: fast enough sally. 542 00:27:55,800 --> 00:27:59,800 Speaker 13: Companies like aries like blue Al, They've all and tom O, Bravo, 543 00:28:00,119 --> 00:28:03,440 Speaker 13: who you know who buy in the space or borrow 544 00:28:03,480 --> 00:28:06,320 Speaker 13: heavily to fund in this space. They're probably all going 545 00:28:06,320 --> 00:28:08,880 Speaker 13: through all of their portfolios right now to look at this. 546 00:28:10,000 --> 00:28:12,240 Speaker 13: You know that there are AI companies, there are software 547 00:28:12,240 --> 00:28:15,160 Speaker 13: companies out there that generate billions of dollars of revenue, 548 00:28:15,160 --> 00:28:19,400 Speaker 13: and they're actually showing earnings that are accelerating, not declining, 549 00:28:19,760 --> 00:28:22,240 Speaker 13: So you know, they're using words sort of like it's 550 00:28:22,280 --> 00:28:24,720 Speaker 13: not monolithic. You don't just have this sort of very 551 00:28:24,880 --> 00:28:27,560 Speaker 13: binary situation, and you do have to look at the 552 00:28:27,640 --> 00:28:29,840 Speaker 13: nuances of some of the companies there. But there's some 553 00:28:29,880 --> 00:28:33,360 Speaker 13: really interesting dynamics going on in the loan market. For example, 554 00:28:33,560 --> 00:28:37,320 Speaker 13: clos collateralized loan obligations. They're big buyers of these loans 555 00:28:37,440 --> 00:28:40,000 Speaker 13: and they're only they have limits on what they can hold, 556 00:28:40,080 --> 00:28:42,640 Speaker 13: so they may become sort of fource sellers of loans 557 00:28:42,680 --> 00:28:46,040 Speaker 13: that do slip into distress set territory based on this 558 00:28:46,120 --> 00:28:48,080 Speaker 13: sell off, and again that could pose a lot of 559 00:28:48,080 --> 00:28:51,400 Speaker 13: buying opportunities which investors have to look through and sort 560 00:28:51,400 --> 00:28:54,120 Speaker 13: of sort out the good from the bad as. 561 00:28:53,960 --> 00:28:57,520 Speaker 3: It were, So interesting how John Z's however, Apollos sort 562 00:28:57,560 --> 00:29:00,560 Speaker 3: of talked about questioning if the real risk is if 563 00:29:00,600 --> 00:29:03,000 Speaker 3: software is dead, and they'd cut their exposure by half. 564 00:29:03,000 --> 00:29:05,000 Speaker 3: In twenty twenty five, we'll see how this continues to 565 00:29:05,040 --> 00:29:07,520 Speaker 3: ripple through the market. Sally Beekwell with the cross asset 566 00:29:07,840 --> 00:29:12,600 Speaker 3: AI read across. Let's talk about now SpaceX holding meetings 567 00:29:12,600 --> 00:29:15,520 Speaker 3: with banks from outside the US for its IPO, including 568 00:29:15,560 --> 00:29:18,120 Speaker 3: from Europe and other regions, and that's what According to sources, 569 00:29:18,400 --> 00:29:21,480 Speaker 3: the meetings took place before SpaceX announced that it would 570 00:29:21,480 --> 00:29:24,600 Speaker 3: acquire Xai, but the combined company is still expected to 571 00:29:24,640 --> 00:29:25,960 Speaker 3: hold the IPO later this year. 572 00:29:26,080 --> 00:29:27,960 Speaker 5: Ed Okay, coming up. 573 00:29:28,120 --> 00:29:32,640 Speaker 2: Snap Paid subscribers rise, but the company sees a dip 574 00:29:32,880 --> 00:29:36,160 Speaker 2: in daily active users, particularly in America. The more in 575 00:29:36,200 --> 00:29:40,720 Speaker 2: those numbers. Next down nine percent. This is Bloomberg Tech. 576 00:29:51,560 --> 00:29:51,720 Speaker 7: Time. 577 00:29:51,800 --> 00:29:54,240 Speaker 2: Now for talking tech. Let's go through some more of 578 00:29:54,280 --> 00:29:57,480 Speaker 2: the earnings. First up, Sony reporting a twenty two percent 579 00:29:57,560 --> 00:30:00,920 Speaker 2: rise in profit over the holiday quarter, and it said 580 00:30:00,960 --> 00:30:05,000 Speaker 2: it secured sufficient memory supply for its key PlayStation five 581 00:30:05,080 --> 00:30:05,880 Speaker 2: business this year. 582 00:30:05,880 --> 00:30:07,960 Speaker 5: The company did caution, however. 583 00:30:08,000 --> 00:30:11,640 Speaker 2: The profitability of the wider games and networking division worsened 584 00:30:12,000 --> 00:30:14,680 Speaker 2: due to rising hardware costs, plus a video partner on 585 00:30:14,800 --> 00:30:17,840 Speaker 2: Hi saw revenue time thirty five point five percent in 586 00:30:17,960 --> 00:30:20,880 Speaker 2: January to the equivalent of twenty three billion US dollars. 587 00:30:20,880 --> 00:30:23,200 Speaker 2: The tai One based company is one of the key 588 00:30:23,240 --> 00:30:26,560 Speaker 2: players in the AI hardware industry and is benefiting from 589 00:30:26,560 --> 00:30:29,400 Speaker 2: the billions being spent on the gear needed to train 590 00:30:29,600 --> 00:30:32,760 Speaker 2: and operate the models. And shares of Peloton a down 591 00:30:32,920 --> 00:30:36,200 Speaker 2: after the fitness company provided a weaker than expected revenue. 592 00:30:35,840 --> 00:30:37,840 Speaker 5: Forecast for the fiscal third quarter. 593 00:30:38,400 --> 00:30:41,840 Speaker 2: Investors have been hoping the release of AI powered treadmills, bikes, 594 00:30:41,840 --> 00:30:45,120 Speaker 2: and other new products would put some muscle into Peloton's 595 00:30:45,160 --> 00:30:46,000 Speaker 2: turnaround efforts. 596 00:30:46,040 --> 00:30:48,080 Speaker 5: Like that character pardon your puns. 597 00:30:48,160 --> 00:30:50,920 Speaker 3: Meanwhile, let's continue this theme of earnings and those that 598 00:30:50,920 --> 00:30:52,920 Speaker 3: are falling on the back of it. Snap down more 599 00:30:52,960 --> 00:30:55,400 Speaker 3: than eight percent amid a drop in daily active users 600 00:30:55,400 --> 00:30:57,240 Speaker 3: here in the United States. Still, the company actually posted 601 00:30:57,280 --> 00:31:00,320 Speaker 3: better than expected holiday quarter sales and actually paid subscrires. 602 00:31:00,360 --> 00:31:02,680 Speaker 3: We're rising twenty four million, So let's break it down. 603 00:31:03,040 --> 00:31:07,000 Speaker 3: Mitter Smiley Emake to senior analysts with us, it's many 604 00:31:07,080 --> 00:31:10,680 Speaker 3: pronged conversation we can have about Snap, But first and 605 00:31:10,720 --> 00:31:14,280 Speaker 3: foremost why are we seeing a decline in users in 606 00:31:14,320 --> 00:31:15,240 Speaker 3: the United States. 607 00:31:15,640 --> 00:31:16,880 Speaker 8: Yeah, it's a great question. 608 00:31:16,960 --> 00:31:19,920 Speaker 14: I mean, I think Snapchat definitely has kind of a 609 00:31:19,960 --> 00:31:23,160 Speaker 14: stickiness problem. I feel like we see people often age 610 00:31:23,160 --> 00:31:25,080 Speaker 14: out of it as they grow older, and then we're 611 00:31:25,080 --> 00:31:28,120 Speaker 14: also seeing reports that younger people are not adopting it. 612 00:31:28,160 --> 00:31:30,120 Speaker 14: You know, I'm talking jen now for really young people 613 00:31:30,200 --> 00:31:32,560 Speaker 14: aren't adopting it at the same rate that gen z 614 00:31:32,720 --> 00:31:33,280 Speaker 14: might have. 615 00:31:33,240 --> 00:31:34,840 Speaker 8: So they're kind of in this tough spot. 616 00:31:34,920 --> 00:31:36,800 Speaker 14: It's interesting we see a lot of the other social 617 00:31:36,800 --> 00:31:40,280 Speaker 14: platforms like Facebook, for instance, they're really trying to court 618 00:31:40,320 --> 00:31:42,720 Speaker 14: young users, and I feel like Snapchat in some ways 619 00:31:42,760 --> 00:31:45,000 Speaker 14: has the opposite issue, where it sort of has a 620 00:31:45,000 --> 00:31:47,480 Speaker 14: hold on this specific generation of young people, but when 621 00:31:47,480 --> 00:31:49,640 Speaker 14: you go above and below that, it is struggling a 622 00:31:49,640 --> 00:31:51,120 Speaker 14: bit more and I think that is why we're seeing 623 00:31:51,160 --> 00:31:51,960 Speaker 14: some of those falls. 624 00:31:52,080 --> 00:31:54,000 Speaker 3: And interestingly, you go back to November when we had 625 00:31:54,000 --> 00:31:57,400 Speaker 3: the previous earnings numbers and the shares skyrocketed, not just 626 00:31:57,440 --> 00:31:59,120 Speaker 3: a back of numbers, but on the back of a 627 00:31:59,160 --> 00:32:01,080 Speaker 3: deal they were meant to be had four hundred million 628 00:32:01,160 --> 00:32:04,680 Speaker 3: dollars in Mikestro cash and Acty with Perplexity, a partnership 629 00:32:04,680 --> 00:32:05,080 Speaker 3: to AI. 630 00:32:06,000 --> 00:32:06,680 Speaker 8: Any news on. 631 00:32:06,720 --> 00:32:09,040 Speaker 14: That, Yeah, I think everyone was kind of hoping this 632 00:32:09,080 --> 00:32:11,120 Speaker 14: earnings call, which shed a bit more late on this 633 00:32:11,240 --> 00:32:14,000 Speaker 14: deal and what's going on there. Of course, they ended 634 00:32:14,080 --> 00:32:16,120 Speaker 14: up saying that it's been delayed. They didn't provide a 635 00:32:16,200 --> 00:32:18,840 Speaker 14: ton of detail. And it's interesting because when the deal 636 00:32:18,880 --> 00:32:21,520 Speaker 14: was first announced, it was certainly welcomed by investors. I 637 00:32:21,520 --> 00:32:23,440 Speaker 14: think they were excited to kind of see a new 638 00:32:23,480 --> 00:32:26,160 Speaker 14: revenue stream for Snapchat and also just see how snap 639 00:32:26,200 --> 00:32:28,680 Speaker 14: is kind of looking into how it wants to compete 640 00:32:28,720 --> 00:32:31,440 Speaker 14: in the broader AI race, and so to see not 641 00:32:31,480 --> 00:32:35,440 Speaker 14: really any updates there is concerning and it also just 642 00:32:35,520 --> 00:32:37,680 Speaker 14: raises a lot of questions people already had around, you know, 643 00:32:37,800 --> 00:32:40,040 Speaker 14: sort of why Perplexity in the first place, Why was 644 00:32:40,040 --> 00:32:42,240 Speaker 14: the deal only for one year, How is it going 645 00:32:42,240 --> 00:32:44,200 Speaker 14: to fit into you know, how is Perplexity going to 646 00:32:44,200 --> 00:32:46,560 Speaker 14: fit into Snapchat's broader interface and whatnot. 647 00:32:46,680 --> 00:32:50,360 Speaker 8: So more questions and answers at this point. For sure, I'm. 648 00:32:50,240 --> 00:32:54,640 Speaker 2: Trying to understand where Snap fits in the world. It's 649 00:32:54,640 --> 00:32:57,120 Speaker 2: the first time he uses decline since twenty eighteen. I 650 00:32:57,120 --> 00:33:00,200 Speaker 2: haven't been on Snap for a very long time, and 651 00:33:00,320 --> 00:33:03,480 Speaker 2: twenty eighteen I certainly wasn't that. 652 00:33:03,520 --> 00:33:05,120 Speaker 5: Sounds like a worrying signal. 653 00:33:05,520 --> 00:33:08,080 Speaker 2: Right, you know, you're talking about the different revenue streams, 654 00:33:08,120 --> 00:33:10,440 Speaker 2: But at the end of the day, what is snap 655 00:33:10,640 --> 00:33:13,800 Speaker 2: and what does the shrinking user base suggest to you 656 00:33:13,880 --> 00:33:14,880 Speaker 2: MINDA Yeah. 657 00:33:14,680 --> 00:33:16,360 Speaker 14: I mean I think it's a fair question, and I 658 00:33:16,360 --> 00:33:19,320 Speaker 14: think that partly explains why we are seeing the shrinking 659 00:33:19,360 --> 00:33:21,560 Speaker 14: user base. I think a lot of users just aren't 660 00:33:21,600 --> 00:33:23,960 Speaker 14: seeing the value in it that they used to, especially 661 00:33:24,000 --> 00:33:27,960 Speaker 14: as we see Instagram, TikTok now YouTube really really gains 662 00:33:28,000 --> 00:33:30,840 Speaker 14: team and just really take a chip away a time spent. 663 00:33:31,000 --> 00:33:33,200 Speaker 8: That's something we see in our own forecast at E Marketer. 664 00:33:33,240 --> 00:33:35,640 Speaker 14: I mean, we are seeing time spent on Snapchat decline 665 00:33:35,680 --> 00:33:38,760 Speaker 14: year over year, at least in the US, and we're seeing. 666 00:33:38,480 --> 00:33:40,240 Speaker 8: Them try to, you know, try to fix that. Really. 667 00:33:40,240 --> 00:33:43,080 Speaker 14: That's why they're investing in things like games, and we're 668 00:33:43,080 --> 00:33:45,240 Speaker 14: seeing they introduced other features last year that are really 669 00:33:45,240 --> 00:33:47,680 Speaker 14: just meant to get people keep people on the app longer. 670 00:33:47,720 --> 00:33:49,040 Speaker 8: But it is tricky, you know. 671 00:33:49,080 --> 00:33:51,840 Speaker 14: Snapchat is really distinct and the social media landscape, which 672 00:33:52,160 --> 00:33:53,920 Speaker 14: in some ways I think has worked to its advantage, 673 00:33:53,960 --> 00:33:57,000 Speaker 14: but also has heard it because it really kind of 674 00:33:57,040 --> 00:33:59,200 Speaker 14: seems to struggle to keep up with the broader trends 675 00:33:59,280 --> 00:34:00,959 Speaker 14: unfolding in the broader landscape. 676 00:34:01,080 --> 00:34:04,040 Speaker 2: You know, it's easy to try and compare and contrast 677 00:34:04,120 --> 00:34:07,640 Speaker 2: with Meta, right, particularly in the glasses context. You know, 678 00:34:07,800 --> 00:34:11,000 Speaker 2: Meta has a generative AI tool, Meta AI and the 679 00:34:11,040 --> 00:34:14,719 Speaker 2: glasses have been the surprise package, the modus operandi by 680 00:34:14,719 --> 00:34:19,000 Speaker 2: which people interface with that with that AI tool. Can 681 00:34:19,000 --> 00:34:21,719 Speaker 2: you see the same story as snap with the glasses 682 00:34:21,960 --> 00:34:23,719 Speaker 2: and what the point of them will be ultimately? 683 00:34:24,320 --> 00:34:27,680 Speaker 14: Yeah, I think, you know, personally, I'm pretty I'm pretty 684 00:34:27,760 --> 00:34:29,520 Speaker 14: much a skeptic when it comes to the smart glasses 685 00:34:29,560 --> 00:34:32,000 Speaker 14: space in general. I just think it's you know, it 686 00:34:32,120 --> 00:34:35,000 Speaker 14: still remains really niche, and I think there's still a 687 00:34:35,000 --> 00:34:37,719 Speaker 14: lot of uncertainty around to what extent it will ever 688 00:34:37,840 --> 00:34:40,399 Speaker 14: hit mass adoption. And I think, but you know, even 689 00:34:40,440 --> 00:34:42,680 Speaker 14: say it does take off, people do end up wanting 690 00:34:42,719 --> 00:34:45,719 Speaker 14: these glasses. Snapchat is still in a tough position. I mean, 691 00:34:45,760 --> 00:34:47,759 Speaker 14: it is competing with pretty much all the all the 692 00:34:47,800 --> 00:34:50,160 Speaker 14: major tech giants who are investing in this space, who 693 00:34:50,200 --> 00:34:52,319 Speaker 14: are pouring tons of resources in this space. They all 694 00:34:52,400 --> 00:34:55,080 Speaker 14: have a lot more money than Snapchat. So yeah, it's 695 00:34:55,080 --> 00:34:57,359 Speaker 14: interesting to see them. Bet on it. It makes sense 696 00:34:57,360 --> 00:35:00,719 Speaker 14: with their history of augmented reality and whatnot, but I 697 00:35:01,080 --> 00:35:04,520 Speaker 14: think they're in a tough position going forward in that space. 698 00:35:05,520 --> 00:35:08,279 Speaker 2: Minder Smiley a v marketer, Thank you very much. Now 699 00:35:08,320 --> 00:35:12,600 Speaker 2: coming up, we speak with Qualcomm CEO Christiano Amon. That 700 00:35:12,719 --> 00:35:22,040 Speaker 2: conversation's next. This is Bloomberg Tech. Let's focus in on 701 00:35:22,080 --> 00:35:24,799 Speaker 2: Qualcom shares right now down about eight percent, on track 702 00:35:24,800 --> 00:35:27,280 Speaker 2: for their biggest drop since last summer. At one point 703 00:35:27,280 --> 00:35:30,399 Speaker 2: in the session, we were down eleven percent, on track 704 00:35:30,400 --> 00:35:32,800 Speaker 2: for the biggest drop since March of twenty twenty. The 705 00:35:32,840 --> 00:35:38,600 Speaker 2: world's largest maker of smartphone processors issued a lackluster revenue forecast, 706 00:35:38,719 --> 00:35:44,120 Speaker 2: raising some concerns that memory supply constraints could push prices higher, 707 00:35:44,360 --> 00:35:47,759 Speaker 2: which in turn with weigh on the handset demand. Joining 708 00:35:47,800 --> 00:35:52,759 Speaker 2: us to discuss is Christiana Ammon quil Comco. Christiano A 709 00:35:52,840 --> 00:35:55,239 Speaker 2: good morning. Thank you for becoming a morning bow Tech. 710 00:35:55,680 --> 00:35:58,600 Speaker 2: That I give you that what's happening in memory is 711 00:35:58,600 --> 00:36:02,080 Speaker 2: completely outside of your control, right, but the forecast of 712 00:36:02,120 --> 00:36:04,920 Speaker 2: the current period of sales up to eleven billion dollars, 713 00:36:05,320 --> 00:36:07,560 Speaker 2: I suppose one way of looking at it is how 714 00:36:07,640 --> 00:36:11,160 Speaker 2: much better would that have been were the market not 715 00:36:11,360 --> 00:36:15,440 Speaker 2: so constrained by the supply of memory right now, but 716 00:36:15,520 --> 00:36:19,160 Speaker 2: also the pricing pressure that that supply deficit puts in place. 717 00:36:20,239 --> 00:36:23,400 Speaker 15: Yeah, look, it's a very interesting situation. You know, in 718 00:36:23,600 --> 00:36:27,400 Speaker 15: one hand, I'm incredibly happy with the business, like everything 719 00:36:27,520 --> 00:36:31,560 Speaker 15: is going well. Demand, the strong macroeconomic indicators are good. 720 00:36:31,800 --> 00:36:35,120 Speaker 15: Demand for HANC it is strong. We have seen we 721 00:36:35,200 --> 00:36:37,359 Speaker 15: had like a record quarter in Q one. We saw 722 00:36:37,440 --> 00:36:42,440 Speaker 15: all of our customers reporting sell true data better than expectations. 723 00:36:42,800 --> 00:36:47,560 Speaker 15: But then the industry is now defined by the availability 724 00:36:47,600 --> 00:36:50,560 Speaker 15: the memory that is is going to be available for 725 00:36:50,600 --> 00:36:55,960 Speaker 15: consumer electronics, and it creates, you know, a sudden change 726 00:36:56,160 --> 00:37:00,399 Speaker 15: in how OEMs look at their build plan and they say, look, 727 00:37:00,440 --> 00:37:03,200 Speaker 15: I have to size the size of the market not 728 00:37:03,400 --> 00:37:06,319 Speaker 15: based on demand, but the memory that I can get 729 00:37:06,360 --> 00:37:09,000 Speaker 15: for consumer electronics. And that one makes it like this 730 00:37:09,160 --> 00:37:13,960 Speaker 15: unique period there's a go ahead. 731 00:37:14,000 --> 00:37:14,560 Speaker 5: Let me drop it. 732 00:37:14,640 --> 00:37:17,640 Speaker 2: But you know, within that market there are some specific 733 00:37:18,160 --> 00:37:21,680 Speaker 2: interesting case studies. Right the premium segment is good, like 734 00:37:21,920 --> 00:37:26,000 Speaker 2: from a demand side, particularly in China. So usually like 735 00:37:26,120 --> 00:37:29,600 Speaker 2: in any hardware environment where your supply constrained but demand 736 00:37:29,640 --> 00:37:33,400 Speaker 2: is high, like that's a good thing. And increasingly, like 737 00:37:33,480 --> 00:37:35,920 Speaker 2: think about the content in the phone that you provide. 738 00:37:36,440 --> 00:37:40,040 Speaker 2: How can you kind of navigate this to your advantage? 739 00:37:40,760 --> 00:37:43,000 Speaker 16: Yes, and that's a great observation. 740 00:37:43,080 --> 00:37:45,520 Speaker 15: That's why I think there's a lot of I think 741 00:37:45,600 --> 00:37:50,120 Speaker 15: a lot of unnecessary I think speculation. Right now, here's 742 00:37:50,160 --> 00:37:53,680 Speaker 15: what's going to happen. We saw this with Covid. OEM 743 00:37:53,760 --> 00:37:55,000 Speaker 15: is the first thing they're going to do. They're going 744 00:37:55,040 --> 00:37:58,359 Speaker 15: to prioritize premium and high tier, you know, because those 745 00:37:58,400 --> 00:38:00,000 Speaker 15: are more resilient I think. 746 00:37:59,840 --> 00:38:00,920 Speaker 16: To price increases. 747 00:38:01,440 --> 00:38:04,520 Speaker 15: They are we are going to see probably adjustment in 748 00:38:04,640 --> 00:38:08,560 Speaker 15: prices on hences and because you know demand it's strong, 749 00:38:09,200 --> 00:38:12,080 Speaker 15: it is very likely that the premium and the high 750 00:38:12,120 --> 00:38:15,160 Speaker 15: tier is going to be less impacted than the mass 751 00:38:15,200 --> 00:38:18,080 Speaker 15: tier on phones. And we have seen that the premi 752 00:38:18,160 --> 00:38:22,800 Speaker 15: teer continue to expand regardless, regardless over the several years, 753 00:38:23,160 --> 00:38:27,239 Speaker 15: the premi teer is expanding, and we're more concentrated on 754 00:38:27,280 --> 00:38:28,319 Speaker 15: the premium and the high tier. 755 00:38:28,440 --> 00:38:31,280 Speaker 16: So your your theory is one hundred percent correct. 756 00:38:32,040 --> 00:38:37,400 Speaker 15: All that happened is OEM's had thinking about a particular 757 00:38:37,480 --> 00:38:41,280 Speaker 15: size of the year that got resized by the memory availability. 758 00:38:41,400 --> 00:38:43,399 Speaker 15: They're adjusting their build plans and we're going to see 759 00:38:43,440 --> 00:38:44,759 Speaker 15: how this is going to play out in the next 760 00:38:44,760 --> 00:38:47,799 Speaker 15: few quarters. That's that's really the story. The good thing 761 00:38:48,120 --> 00:38:49,120 Speaker 15: is demand as high. 762 00:38:50,200 --> 00:38:53,720 Speaker 3: So the second quarter chip sales guidance was what worried people, 763 00:38:53,719 --> 00:38:56,279 Speaker 3: But third quarter, fourth quarter, it's going to play out 764 00:38:56,280 --> 00:38:57,239 Speaker 3: over that time frame. 765 00:38:57,280 --> 00:39:02,440 Speaker 15: Do you think it's one thing that I carefully worded. 766 00:39:02,600 --> 00:39:06,320 Speaker 15: I think during our earnings call, I said the memory 767 00:39:06,320 --> 00:39:10,160 Speaker 15: availability in pricing will be the defining factor for the 768 00:39:10,200 --> 00:39:13,280 Speaker 15: size of the hands and market. And we talk about 769 00:39:13,320 --> 00:39:15,640 Speaker 15: the size of hands and market because we have visibility 770 00:39:15,719 --> 00:39:19,200 Speaker 15: whole market because of our licensing business. But now we're 771 00:39:19,200 --> 00:39:21,880 Speaker 15: going to see how this play out. And I'm a 772 00:39:21,880 --> 00:39:25,919 Speaker 15: little hesitant to make a very definitive prediction on how 773 00:39:26,000 --> 00:39:27,560 Speaker 15: this is going to play out in Q three and Q. 774 00:39:27,600 --> 00:39:30,520 Speaker 16: Four, But the pandemic was a good proxy. 775 00:39:30,560 --> 00:39:32,560 Speaker 15: When we have something like that and we have a 776 00:39:32,560 --> 00:39:36,600 Speaker 15: semiconductor shortage, we saw the PREMI teer has been more resilient, 777 00:39:36,800 --> 00:39:39,759 Speaker 15: and you know, we're going to be working with our 778 00:39:39,800 --> 00:39:43,799 Speaker 15: customers as they move the roadmap to kind of those 779 00:39:43,840 --> 00:39:44,719 Speaker 15: type of devices. 780 00:39:44,920 --> 00:39:47,920 Speaker 3: And now you control the controllables, and those controllables have 781 00:39:47,960 --> 00:39:51,640 Speaker 3: been diversification in many ways. This speaks to why you've 782 00:39:51,680 --> 00:39:54,200 Speaker 3: been focusing in on new areas of growth, whether it 783 00:39:54,239 --> 00:39:56,360 Speaker 3: be autos or we connected devices, whether it be the 784 00:39:56,360 --> 00:39:59,400 Speaker 3: future of robotics, whether of course of BAI Christiana, how 785 00:39:59,480 --> 00:40:01,759 Speaker 3: much can you accelerate that to make up for the 786 00:40:01,800 --> 00:40:02,720 Speaker 3: handset issues. 787 00:40:03,560 --> 00:40:07,640 Speaker 15: Look, we we you know, it's not hopefully it's not 788 00:40:07,760 --> 00:40:11,279 Speaker 15: lost on people that we had another record in automotive. 789 00:40:11,360 --> 00:40:15,160 Speaker 15: We had actually a record in the company in Q one, 790 00:40:15,800 --> 00:40:19,799 Speaker 15: and not only we continue to be satisfied with the 791 00:40:19,880 --> 00:40:23,000 Speaker 15: direction the company is going on diversification, we had a 792 00:40:23,080 --> 00:40:25,400 Speaker 15: new things like robotics, for example, we had a record 793 00:40:25,440 --> 00:40:28,200 Speaker 15: in automotive. A couple of things that happen in the 794 00:40:28,280 --> 00:40:31,960 Speaker 15: quarter that are very very important. One is we announce 795 00:40:32,400 --> 00:40:36,200 Speaker 15: a broad partnership of Volkswagen Group across all the brands 796 00:40:37,640 --> 00:40:41,160 Speaker 15: to build you know, the Snapdragon digital chassis for Volkswagen. 797 00:40:41,560 --> 00:40:43,680 Speaker 15: We saw the launch of the Raw four or one 798 00:40:43,680 --> 00:40:46,200 Speaker 15: of the top selling cars in the world for digital cockpit, 799 00:40:46,880 --> 00:40:51,799 Speaker 15: and IoT is growing. We we enter robotics in a 800 00:40:51,840 --> 00:40:54,879 Speaker 15: short period of time with some major customers, so we're 801 00:40:54,880 --> 00:40:58,600 Speaker 15: excited about that. The fundamentals of the company are actually incredible, 802 00:40:58,960 --> 00:41:01,400 Speaker 15: and we just navigate to another phone cycle. 803 00:41:02,520 --> 00:41:07,680 Speaker 2: Christiano second consecutive quarter where automotive is above a billion dollars. 804 00:41:07,760 --> 00:41:11,200 Speaker 2: And I remember over years us discussing what was a 805 00:41:11,239 --> 00:41:17,040 Speaker 2: backlog in automotive. Right, apply that story and that experience 806 00:41:17,120 --> 00:41:20,360 Speaker 2: to your hopes in data center. You know, you've told 807 00:41:20,400 --> 00:41:22,360 Speaker 2: us when this will happen and who it will happen 808 00:41:22,400 --> 00:41:25,520 Speaker 2: with first, But how do you see that translating from 809 00:41:25,560 --> 00:41:29,360 Speaker 2: your order backlog to revenue growth and hitting milestones like 810 00:41:29,400 --> 00:41:30,440 Speaker 2: a billion dollar quarter. 811 00:41:31,480 --> 00:41:33,279 Speaker 16: Yes, we we. 812 00:41:34,800 --> 00:41:38,759 Speaker 15: We restated the data center will start showing up in 813 00:41:38,800 --> 00:41:44,520 Speaker 15: fiscal twenty seven. We have been talking for a while 814 00:41:44,840 --> 00:41:47,799 Speaker 15: that the data center is going to change. It's going 815 00:41:47,840 --> 00:41:50,800 Speaker 15: to go from the current focus on training into inference. 816 00:41:51,360 --> 00:41:54,279 Speaker 15: We have been saying, I think before what's popular, that 817 00:41:54,400 --> 00:41:57,480 Speaker 15: a different architecture will be required. I think the post 818 00:41:57,560 --> 00:42:01,560 Speaker 15: GPU architecture interesting. That the Grock development is kind of 819 00:42:01,640 --> 00:42:06,080 Speaker 15: validating that, and we're getting a lot of good feedback. 820 00:42:06,239 --> 00:42:09,839 Speaker 15: We have a new architecture, including for memory. We don't 821 00:42:09,880 --> 00:42:14,680 Speaker 15: need HBM, which is causing all of this memory situation, 822 00:42:15,320 --> 00:42:20,280 Speaker 15: and it's we have been very encouraged by the traction 823 00:42:20,480 --> 00:42:24,960 Speaker 15: we're getting. So it's going to be material in twenty seven, 824 00:42:25,040 --> 00:42:27,080 Speaker 15: and you know, we're going to provide a lot of 825 00:42:27,080 --> 00:42:28,959 Speaker 15: details in ourcoming investor event. 826 00:42:30,200 --> 00:42:35,160 Speaker 3: Just broadly, how are you thinking about the actual consumer 827 00:42:35,280 --> 00:42:36,600 Speaker 3: right now as well, Christiana? 828 00:42:37,080 --> 00:42:41,799 Speaker 15: Just briefly, yes, so phone is a great proxy for 829 00:42:41,840 --> 00:42:49,480 Speaker 15: consumer microeconomic indicators are strong. Consumer demand very strong. And 830 00:42:50,120 --> 00:42:52,600 Speaker 15: one of the things I said in the earnings called 831 00:42:52,760 --> 00:42:55,319 Speaker 15: sell true data on phones, and we have visibility because 832 00:42:55,320 --> 00:42:58,160 Speaker 15: of our licensing business exceeded all expectations. 833 00:42:58,239 --> 00:42:59,680 Speaker 16: Phones are getting off the shelf. 834 00:43:00,000 --> 00:43:02,880 Speaker 15: Well, it's not a demand issue, it's just a memory 835 00:43:02,880 --> 00:43:03,920 Speaker 15: supply issue. 836 00:43:04,320 --> 00:43:07,520 Speaker 3: We'll come Seo, Cristiano Aman, We so appreciate you joining 837 00:43:07,560 --> 00:43:09,240 Speaker 3: on this day after the earnings. 838 00:43:09,560 --> 00:43:10,120 Speaker 8: Stay well. 839 00:43:10,120 --> 00:43:13,399 Speaker 3: Meanwhile, that does it for another extraordinary edition at Bloomberg Tech. 840 00:43:13,760 --> 00:43:17,600 Speaker 3: There is so much market volatility for earnings coming think 841 00:43:17,600 --> 00:43:19,200 Speaker 3: and fast. We've got Amazon for tomorrow ed. 842 00:43:19,920 --> 00:43:22,360 Speaker 2: Yeah, so Alphabet has the mic drop of one hundred 843 00:43:22,400 --> 00:43:25,440 Speaker 2: and eighty five billion dollar CAPEX forecast. Is Amazon judged 844 00:43:25,480 --> 00:43:29,440 Speaker 2: by the same metric and they communicate that differently. Recap 845 00:43:29,480 --> 00:43:32,440 Speaker 2: those conversations on podcasts, two important CEO interviews. 846 00:43:32,600 --> 00:43:33,279 Speaker 5: A lot going on. 847 00:43:33,320 --> 00:43:36,320 Speaker 2: You know where to find it online, Apple, Spotify, iHeart 848 00:43:36,520 --> 00:43:39,640 Speaker 2: and of course on all the Bloomberg platforms from San 849 00:43:39,680 --> 00:43:40,959 Speaker 2: Francisco and New York. 850 00:43:41,360 --> 00:43:42,359 Speaker 5: This is Bloomberg Tech