1 00:00:00,160 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,520 --> 00:00:12,840 Speaker 2: This is the Bloomberg Daybreak europ podcast, available every morning 3 00:00:12,880 --> 00:00:16,400 Speaker 2: on Apple, Spotify or wherever you listen. It's Thursday, the 4 00:00:16,440 --> 00:00:19,439 Speaker 2: twenty ninth of August in London. I'm Stephen Carroll coming 5 00:00:19,520 --> 00:00:23,119 Speaker 2: up today. Shares an Nvidia tumble after the company's results 6 00:00:23,239 --> 00:00:26,800 Speaker 2: fail to live up to investor hopes. Despite meeting or 7 00:00:26,840 --> 00:00:31,480 Speaker 2: beating expectations across the board, French prosecutors charged the CEO 8 00:00:31,560 --> 00:00:36,720 Speaker 2: of Telegram over the app's alleged criminal use. Plus rich pickings, 9 00:00:36,760 --> 00:00:39,640 Speaker 2: why think tanks are lobbying the labor government to hike 10 00:00:39,800 --> 00:00:43,479 Speaker 2: taxes on the country's wealthiest. Let's start with a roundup 11 00:00:43,560 --> 00:00:47,080 Speaker 2: of our top stories. Shares in Nvidia tumbled and after 12 00:00:47,120 --> 00:00:49,559 Speaker 2: hours trading after it failed to live up to investor 13 00:00:49,680 --> 00:00:52,480 Speaker 2: hype with its latest set of results. The chip giant 14 00:00:52,520 --> 00:00:55,040 Speaker 2: is expecting revenues of thirty two and a half billion 15 00:00:55,120 --> 00:00:58,880 Speaker 2: dollars for the current quarter, slightly above consensus expectations but 16 00:00:59,040 --> 00:01:01,920 Speaker 2: far from the blowout numbers. Markets have become used to 17 00:01:02,520 --> 00:01:06,080 Speaker 2: news of production snags with its next generation Blackwell chips 18 00:01:06,080 --> 00:01:09,000 Speaker 2: added to the disappointment, but speaking to Bloomberg and Video 19 00:01:09,040 --> 00:01:11,280 Speaker 2: CEO Jensen Huang defended the rollout. 20 00:01:11,720 --> 00:01:14,039 Speaker 3: We're going to have lots and lots of supply and 21 00:01:14,440 --> 00:01:17,520 Speaker 3: we will be able to ramp starting in Q four. 22 00:01:17,959 --> 00:01:20,680 Speaker 3: We have billions of dollars of revenues and we'll remp 23 00:01:20,720 --> 00:01:22,680 Speaker 3: from there into Q one, into Q two and two 24 00:01:22,760 --> 00:01:24,479 Speaker 3: next year. We're going to have a great next year 25 00:01:24,480 --> 00:01:24,839 Speaker 3: as well. 26 00:01:25,360 --> 00:01:28,520 Speaker 2: Jensen Huang's bullish sentiment wasn't enough, and Vidio dropping almost 27 00:01:28,600 --> 00:01:32,320 Speaker 2: seven percent in late trading. The disappointing outlook threatens to 28 00:01:32,400 --> 00:01:35,600 Speaker 2: dampen the AI frenzy that has transformed in Vidia into 29 00:01:35,640 --> 00:01:40,280 Speaker 2: the world's second most valuable company. As in Video struggles 30 00:01:40,280 --> 00:01:43,399 Speaker 2: to meet lofty hopes for AI generated profit, another leader 31 00:01:43,400 --> 00:01:47,080 Speaker 2: in the industry is gaining more investor backing. Bloomberg understands 32 00:01:47,080 --> 00:01:50,160 Speaker 2: that open ai is getting closer to raising funding at 33 00:01:50,160 --> 00:01:53,320 Speaker 2: a valuation of more than one hundred billion dollars in 34 00:01:53,360 --> 00:01:56,640 Speaker 2: around lead by a one billion investment from Thrive Capital. 35 00:01:56,920 --> 00:01:59,880 Speaker 2: The financing would create one of the world's most valuable 36 00:02:00,200 --> 00:02:05,760 Speaker 2: entre backed startups, underscoring growing demand for generative artificial intelligence. 37 00:02:08,080 --> 00:02:12,560 Speaker 2: The CEO I excuse me, French prosecutors. The CEO of 38 00:02:12,560 --> 00:02:16,920 Speaker 2: Messaging Up Telegram has been charged over alleged criminal activity 39 00:02:16,960 --> 00:02:19,840 Speaker 2: on the platform. The decision comes days after he was 40 00:02:19,880 --> 00:02:22,320 Speaker 2: stopped at a French airport. Boomberg's teaba at a Baiyo 41 00:02:22,360 --> 00:02:23,200 Speaker 2: has the details. 42 00:02:23,480 --> 00:02:26,400 Speaker 4: The charges against Pavel Durov paint a picture of a 43 00:02:26,440 --> 00:02:31,880 Speaker 4: platform almost entirely uncooperative with authorities. That's what Paris prosecutors 44 00:02:31,880 --> 00:02:34,160 Speaker 4: had to say is they ordered the Telegram chief to 45 00:02:34,200 --> 00:02:37,640 Speaker 4: post five million euros bail and forbade him from leaving 46 00:02:37,680 --> 00:02:41,720 Speaker 4: France yesterday. Jurov has been questioned by police for four 47 00:02:41,800 --> 00:02:45,040 Speaker 4: days as part of an investigation into the possible criminal 48 00:02:45,080 --> 00:02:51,079 Speaker 4: responsibility of the platform's executives. Allegations against him include refusing 49 00:02:51,160 --> 00:02:55,240 Speaker 4: to help agencies run legal wire taps on suspects. For 50 00:02:55,280 --> 00:02:58,840 Speaker 4: their part, Telegram says its CEO has nothing to hide, 51 00:02:59,120 --> 00:03:02,000 Speaker 4: but the charges as they stand appear to include a 52 00:03:02,040 --> 00:03:07,480 Speaker 4: maximum sentence of ten years. In London, Tiwa Adubayo Bloomberg Radio. 53 00:03:08,320 --> 00:03:10,880 Speaker 2: Israel has launched a large scale military operation in the 54 00:03:10,880 --> 00:03:13,680 Speaker 2: West Bank. The army says they're trying to combat what 55 00:03:13,720 --> 00:03:17,680 Speaker 2: they describe as terrorist activity. PASTENI officials say ten people 56 00:03:17,760 --> 00:03:20,120 Speaker 2: have been killed and eleven others injured in the raids, 57 00:03:20,160 --> 00:03:24,160 Speaker 2: which also saw soldiers block access to hospitals. Former US 58 00:03:24,200 --> 00:03:26,880 Speaker 2: Defense Secretary William Cohen says this operation would have been 59 00:03:26,919 --> 00:03:27,960 Speaker 2: planned for some time. 60 00:03:29,000 --> 00:03:30,960 Speaker 5: As far as the West Bank is concerned, I think 61 00:03:31,000 --> 00:03:34,320 Speaker 5: the Israelis have adopted a policy of preemption. They are 62 00:03:34,400 --> 00:03:36,760 Speaker 5: not going to wait to be attacked. They were seeing 63 00:03:36,800 --> 00:03:40,680 Speaker 5: a plan evolved with Hispolo in Lebanon and they attacked. 64 00:03:41,000 --> 00:03:43,240 Speaker 5: They're going to do the same thing in the West Bank. 65 00:03:43,360 --> 00:03:45,800 Speaker 5: I don't think it came about overnight. I think this 66 00:03:45,960 --> 00:03:48,040 Speaker 5: as long in the planning. I don't think the Biden 67 00:03:48,080 --> 00:03:51,440 Speaker 5: administration on Biden Harris administration had any foreknowledge of this. 68 00:03:52,880 --> 00:03:56,040 Speaker 2: William Cohen, speaking there to Bloomberg Television. The Israeli military 69 00:03:56,080 --> 00:03:59,360 Speaker 2: said the operation was a preemptive strike, claiming Iran has 70 00:03:59,400 --> 00:04:02,440 Speaker 2: been smuggling weapons into the West Bank. A spokesman for 71 00:04:02,480 --> 00:04:05,080 Speaker 2: the Palestinian presidency in the West Bank said the IDF's 72 00:04:05,120 --> 00:04:10,160 Speaker 2: moves will not bring security and stability to anyone. Thames 73 00:04:10,160 --> 00:04:12,240 Speaker 2: Water says it will have to increase the amount it 74 00:04:12,360 --> 00:04:16,560 Speaker 2: charges consumers by nearly sixty percent to stay afloat. The 75 00:04:16,640 --> 00:04:21,320 Speaker 2: UK's largest water company, doubled down on proposals for blockbuster 76 00:04:21,480 --> 00:04:25,120 Speaker 2: fee increases in the next six years. It's a challenge 77 00:04:25,120 --> 00:04:28,120 Speaker 2: to the regulator off what, which has already rejected a 78 00:04:28,160 --> 00:04:32,720 Speaker 2: plan to up fees by a smaller amount. Thameswater's CEO 79 00:04:32,920 --> 00:04:36,520 Speaker 2: says the rules imposed in it make it uninvestible. It 80 00:04:36,640 --> 00:04:39,799 Speaker 2: needs to find three point three billion pounds by next 81 00:04:39,960 --> 00:04:45,279 Speaker 2: May to stay solvent. And Labour's tax plans have become 82 00:04:45,320 --> 00:04:48,760 Speaker 2: the focus of intense lobbying efforts as the new government 83 00:04:48,920 --> 00:04:51,640 Speaker 2: looks for ways to raise more revenue. Left wing think 84 00:04:51,680 --> 00:04:55,680 Speaker 2: tanks are pushing for higher taxes. Representatives for the Mega 85 00:04:55,800 --> 00:04:59,960 Speaker 2: Richer warning of possible fire sales and their client's lead 86 00:05:00,040 --> 00:05:03,280 Speaker 2: leaving the UK. Bloomberg James Wilcock has more. 87 00:05:03,640 --> 00:05:06,520 Speaker 6: It was these words that kick started the speculation. 88 00:05:07,200 --> 00:05:09,320 Speaker 7: And we'll be honest with you. There is a budget 89 00:05:09,400 --> 00:05:13,159 Speaker 7: coming in October and it's going to be painful. We 90 00:05:13,279 --> 00:05:16,720 Speaker 7: have no other choice given the situation that we're in. 91 00:05:17,240 --> 00:05:20,719 Speaker 7: Those with the broadest shoulders should bear the heavier burden. 92 00:05:21,320 --> 00:05:24,839 Speaker 6: After Keir Starmer's speech, the question many are asking is 93 00:05:24,880 --> 00:05:28,560 Speaker 6: who is in the crosshairs to pay more. The IPPR 94 00:05:28,680 --> 00:05:31,720 Speaker 6: I think, well known for its influence on labor, say 95 00:05:31,760 --> 00:05:35,440 Speaker 6: it should be those benefiting from capital gains, expensive properties 96 00:05:35,720 --> 00:05:40,280 Speaker 6: and large inheritances. Banking stocks also dropped in London yesterday 97 00:05:40,440 --> 00:05:44,200 Speaker 6: as traders bet they too could be targets. Labour's top 98 00:05:44,240 --> 00:05:47,360 Speaker 6: team face a tough balance with raising revenue to meet 99 00:05:47,400 --> 00:05:50,279 Speaker 6: their promises of a better state without cutting off the 100 00:05:50,360 --> 00:05:53,960 Speaker 6: UK's growth, which in a sudden reversal finds itself at 101 00:05:53,960 --> 00:05:57,040 Speaker 6: the top of the G seven in London. James Wilcock, 102 00:05:57,160 --> 00:05:58,120 Speaker 6: Bloomberg Radio. 103 00:05:58,839 --> 00:06:00,440 Speaker 2: Now, in a moment, we'll bring you up interview with 104 00:06:00,480 --> 00:06:02,719 Speaker 2: the video CEO and talk you through the reaction that 105 00:06:02,760 --> 00:06:05,479 Speaker 2: we've seen on markets to those results. But first, do 106 00:06:05,520 --> 00:06:08,960 Speaker 2: you know whether Resto mod is I didn't. I have 107 00:06:09,000 --> 00:06:11,320 Speaker 2: to admit it's a classic car that's been restored and 108 00:06:11,360 --> 00:06:13,599 Speaker 2: modified from the original, traditionally the sort of thing that 109 00:06:13,640 --> 00:06:16,279 Speaker 2: you might have found a neighbor tinkering with in a garage. 110 00:06:16,279 --> 00:06:18,440 Speaker 2: But our colleague Conna Elliott has been writing about how 111 00:06:19,000 --> 00:06:23,320 Speaker 2: the idea of arresto mod has gone very upscale and 112 00:06:23,360 --> 00:06:26,920 Speaker 2: now people are reworking luxury cars from Porsches to Lamborghini's 113 00:06:27,400 --> 00:06:29,520 Speaker 2: and as latest piece as a window into this world, 114 00:06:29,560 --> 00:06:31,760 Speaker 2: it's not just a hobby anymore, but something that's become 115 00:06:32,000 --> 00:06:36,520 Speaker 2: a small niche industry producing high end products with better craftsmanship, 116 00:06:36,600 --> 00:06:42,839 Speaker 2: improved technology and bespoke detailing, and sky high prices to match. 117 00:06:42,880 --> 00:06:45,800 Speaker 2: So the models that are created are rare, sometimes unique. 118 00:06:45,800 --> 00:06:49,640 Speaker 2: They're also increasingly nostalgic as the world turns towards electric cars. 119 00:06:50,080 --> 00:06:52,800 Speaker 2: It's fascinating piece why car collectors are paying through their 120 00:06:52,839 --> 00:06:55,360 Speaker 2: nose for Resto mods. You'll find it on bloomberg dot 121 00:06:55,360 --> 00:06:58,520 Speaker 2: com and on the terminal. Let's bring you more now 122 00:06:58,560 --> 00:07:00,960 Speaker 2: on those results from in Video, which is pointed investors 123 00:07:00,960 --> 00:07:04,200 Speaker 2: with an underwhelming forecast and use of production issues with 124 00:07:04,240 --> 00:07:07,240 Speaker 2: its next generation chips, and video CEO Jensen Wang has 125 00:07:07,240 --> 00:07:09,960 Speaker 2: been speaking to Bloomberg's Ed Ludlow. They began by discussing 126 00:07:09,960 --> 00:07:12,240 Speaker 2: the issues with the Blackwell chips. Here are some of 127 00:07:12,280 --> 00:07:13,600 Speaker 2: the highlights of that conversation. 128 00:07:14,400 --> 00:07:18,800 Speaker 3: We have started volume production. Volume production will ship in 129 00:07:19,360 --> 00:07:23,360 Speaker 3: Q four. Q four, we will have billions of dollars 130 00:07:23,400 --> 00:07:28,160 Speaker 3: of Blackwell revenues and we will ramp from there. We 131 00:07:28,200 --> 00:07:32,600 Speaker 3: will ramp from there. The demand for Blackwell far exceeds 132 00:07:32,800 --> 00:07:36,800 Speaker 3: its supply, of course in the beginning, because the demand 133 00:07:36,880 --> 00:07:39,280 Speaker 3: is so great, but we're going to have lots and 134 00:07:39,320 --> 00:07:42,520 Speaker 3: lots of supply, and we will be able to ramp 135 00:07:43,040 --> 00:07:45,920 Speaker 3: starting in Q four. We have billions of dollars of 136 00:07:45,920 --> 00:07:48,440 Speaker 3: revenues and we will ramp from there into Q one, 137 00:07:48,520 --> 00:07:50,400 Speaker 3: into Q two and two next year. We're going to 138 00:07:50,480 --> 00:07:51,480 Speaker 3: have a great next year as well. 139 00:07:51,760 --> 00:07:55,000 Speaker 8: Jensen, what is the demand for accelerated computing beyond the 140 00:07:55,080 --> 00:07:57,320 Speaker 8: hyperscalers and meta. 141 00:07:56,880 --> 00:08:01,640 Speaker 3: Hyperscalers represent about forty five percent of our total data 142 00:08:01,680 --> 00:08:06,400 Speaker 3: center business. We're relatively diversified today. We have hyperscalers, we 143 00:08:06,480 --> 00:08:12,040 Speaker 3: have Internet service providers, we have sovereign ais, we have 144 00:08:12,640 --> 00:08:18,560 Speaker 3: industries enterprises, so it's fairly fairly diversified a site outside 145 00:08:18,560 --> 00:08:23,240 Speaker 3: of hyperscalers the other fifty five percent. Now, the application 146 00:08:23,480 --> 00:08:26,600 Speaker 3: use across all of that, all of that data center 147 00:08:27,000 --> 00:08:31,560 Speaker 3: starts with accelerated computing. Accelerated computing does everything, of course, 148 00:08:31,880 --> 00:08:34,320 Speaker 3: from the models the things that we know about, which 149 00:08:34,360 --> 00:08:37,840 Speaker 3: is generative AI and that gets most of the attention, 150 00:08:38,600 --> 00:08:42,760 Speaker 3: but at the core we also do database processing, pre 151 00:08:42,880 --> 00:08:47,920 Speaker 3: and post processing of data before you use it for 152 00:08:48,120 --> 00:08:54,400 Speaker 3: generative AI, trans coding, scientific simulations, computer graphics of course, 153 00:08:54,480 --> 00:08:58,600 Speaker 3: image processing of course, and so there's tons of applications 154 00:08:58,640 --> 00:09:03,000 Speaker 3: that people use our accelerated computing for and one of 155 00:09:03,040 --> 00:09:06,160 Speaker 3: them is generative AI. Let's see what else can I say? 156 00:09:06,480 --> 00:09:09,520 Speaker 8: I think that's that lever jump in Jensen. Please on 157 00:09:09,880 --> 00:09:12,360 Speaker 8: sovereign AI. You and I've talked about that before, and 158 00:09:12,400 --> 00:09:15,200 Speaker 8: it was so interesting to hear something behind it that 159 00:09:15,440 --> 00:09:18,199 Speaker 8: in this fiscal year there will be low double digit 160 00:09:18,240 --> 00:09:21,200 Speaker 8: I think you said billions of dollars in sovereign AI sales. 161 00:09:21,520 --> 00:09:23,960 Speaker 8: But to the lay person, what does that mean? It 162 00:09:24,040 --> 00:09:26,280 Speaker 8: means deals with specific governments, if so. 163 00:09:26,280 --> 00:09:31,760 Speaker 3: Were, it's not necessarily. Sometimes it deals with a particular 164 00:09:32,520 --> 00:09:36,840 Speaker 3: regional service provider that's been funded by the government, and 165 00:09:36,920 --> 00:09:39,599 Speaker 3: oftentimes that's the case in a case of in the 166 00:09:39,679 --> 00:09:43,600 Speaker 3: case of Japan, for example, the Japanese government came out 167 00:09:43,840 --> 00:09:48,400 Speaker 3: and offered subsidies of a couple of billion dollars I 168 00:09:48,440 --> 00:09:53,320 Speaker 3: think for several different internet companies and telcos to be 169 00:09:53,360 --> 00:09:59,000 Speaker 3: able to fund their AI infrastructure. India has a Sovereign 170 00:09:59,040 --> 00:10:07,560 Speaker 3: AI initiative and they're building their AI infrastructure. Canada, the UK, France, Italy, 171 00:10:08,320 --> 00:10:12,800 Speaker 3: missing somebody, Singapore, Malaysia. You know, a large number of 172 00:10:12,880 --> 00:10:18,520 Speaker 3: countries are subsidizing their regional data centers so that they 173 00:10:18,559 --> 00:10:22,920 Speaker 3: could become able to build out their AI infrastructure. They 174 00:10:23,000 --> 00:10:28,720 Speaker 3: recognize that their countries knowledge, their country's data, digital data 175 00:10:28,840 --> 00:10:32,319 Speaker 3: is also their natural resource, not just the land they're 176 00:10:32,360 --> 00:10:34,880 Speaker 3: sitting on, not just the air above them. But they 177 00:10:35,360 --> 00:10:39,000 Speaker 3: realize now that their digital knowledge is part of their 178 00:10:39,440 --> 00:10:43,440 Speaker 3: natural and national resource, and they had to harvest that 179 00:10:43,800 --> 00:10:49,360 Speaker 3: and process that and transform it into their national digital intelligence. 180 00:10:49,760 --> 00:10:52,640 Speaker 3: And so this is what we call sovereign AI. You 181 00:10:52,679 --> 00:10:55,760 Speaker 3: could imagine almost every single country in the world will 182 00:10:56,760 --> 00:11:00,000 Speaker 3: eventually recognize this and build out their AI infrastructure. 183 00:11:00,480 --> 00:11:05,480 Speaker 8: Jensen, you explain clearly that demand to build generative AI 184 00:11:05,600 --> 00:11:08,680 Speaker 8: product on models or even at the GPU level is 185 00:11:08,760 --> 00:11:12,359 Speaker 8: greater than current supply in black class case. In particular, 186 00:11:12,600 --> 00:11:15,440 Speaker 8: explain the supply dynamics to me for your products and 187 00:11:15,480 --> 00:11:18,719 Speaker 8: whether you see an improvement sequentially quarter on quarter or 188 00:11:18,720 --> 00:11:20,920 Speaker 8: at some point by the end of fiscal year into 189 00:11:20,920 --> 00:11:21,400 Speaker 8: next year. 190 00:11:21,600 --> 00:11:24,719 Speaker 3: Well, the fact that we're growing would suggest that our 191 00:11:24,840 --> 00:11:29,640 Speaker 3: supply is improving, and our supply chain is quite large, 192 00:11:29,960 --> 00:11:32,400 Speaker 3: one of the largest supply chains in the world. We 193 00:11:32,440 --> 00:11:36,199 Speaker 3: have incredible partners and they're doing a great job supporting 194 00:11:36,280 --> 00:11:38,320 Speaker 3: us in our growth. As you know, we're one of 195 00:11:38,320 --> 00:11:41,640 Speaker 3: the fastest growing technology companies in history, and none of 196 00:11:41,640 --> 00:11:44,840 Speaker 3: that would have been possible without very strong demand but 197 00:11:44,960 --> 00:11:47,720 Speaker 3: also very strong supply. We're expecting Q three to have 198 00:11:47,760 --> 00:11:49,960 Speaker 3: more supply than Q two, We're expecting Q four to 199 00:11:50,000 --> 00:11:52,000 Speaker 3: have more supply than Q three, and we're expecting Q 200 00:11:52,040 --> 00:11:53,640 Speaker 3: one to have more supply than Q four, And so 201 00:11:53,679 --> 00:11:56,360 Speaker 3: I think our supply, our supply condition going into next 202 00:11:56,440 --> 00:11:59,320 Speaker 3: year will be in will be a large improvement over 203 00:11:59,320 --> 00:11:59,959 Speaker 3: this last year. 204 00:12:01,280 --> 00:12:03,319 Speaker 2: That's the CEO of and Vidia, Jensen Wang, speaking to 205 00:12:03,360 --> 00:12:06,320 Speaker 2: Bloomberg's Ed Ludlow, just after their results were published, and 206 00:12:06,360 --> 00:12:08,079 Speaker 2: you can listen to that interview in full on the 207 00:12:08,080 --> 00:12:11,480 Speaker 2: Bloomberg Talks podcast. All of our key conversations with decision 208 00:12:11,520 --> 00:12:14,200 Speaker 2: makers in one place. But we want to focus next 209 00:12:14,360 --> 00:12:18,360 Speaker 2: on the market reaction. Shares in Nvidia falling almost seven 210 00:12:18,400 --> 00:12:20,520 Speaker 2: percent and after hours in the back of those results, 211 00:12:20,520 --> 00:12:22,480 Speaker 2: at one points they were down over eight percent. We've 212 00:12:22,520 --> 00:12:24,640 Speaker 2: got Bloomberg TV anchor Pretty Group to with us for 213 00:12:24,720 --> 00:12:27,800 Speaker 2: more on the market reaction. This is one of those 214 00:12:27,800 --> 00:12:30,360 Speaker 2: things if you look at the numbers in Vidio met 215 00:12:30,480 --> 00:12:34,000 Speaker 2: or beat expectations on every measure based on what markets 216 00:12:34,080 --> 00:12:38,280 Speaker 2: were expecting. The consensus expectations Why wasn't that enough? 217 00:12:38,800 --> 00:12:40,640 Speaker 1: This is what happens when you're an A plus student. 218 00:12:41,400 --> 00:12:42,880 Speaker 1: This is this is the this is the down. 219 00:12:43,200 --> 00:12:43,920 Speaker 2: Not familiar with it all. 220 00:12:43,960 --> 00:12:46,839 Speaker 1: I have no idea, no no clue whatsoever, as I'm 221 00:12:46,880 --> 00:12:49,560 Speaker 1: sure you have no clue whatsoever. Look, this is this 222 00:12:49,600 --> 00:12:51,559 Speaker 1: is a really important piece of the equation because you've 223 00:12:51,600 --> 00:12:53,800 Speaker 1: seen it in other companies before. You've seen this in 224 00:12:53,880 --> 00:12:56,720 Speaker 1: Microsoft as Asia product. You've seen it in Apple as well, 225 00:12:56,840 --> 00:12:59,000 Speaker 1: where you have these gains of I'm going to give 226 00:12:59,000 --> 00:13:01,720 Speaker 1: you Microsoft as an example, thirty forty percent in the product, 227 00:13:01,760 --> 00:13:04,280 Speaker 1: and enough starts the market starts to expect that. So 228 00:13:04,280 --> 00:13:06,200 Speaker 1: when you get to say twenty nine percent in one quarter, 229 00:13:06,520 --> 00:13:08,360 Speaker 1: it actually takes a big hit. You're seeing the exact 230 00:13:08,400 --> 00:13:11,360 Speaker 1: same dynamic within Vidia here, where you've seen these massive 231 00:13:11,400 --> 00:13:14,560 Speaker 1: bumps and beats quarter over quarter. That it's the margin 232 00:13:14,600 --> 00:13:16,480 Speaker 1: of the beat that matters. Now, that margin of the 233 00:13:16,520 --> 00:13:19,480 Speaker 1: beat is that came in softer than expected, and that's 234 00:13:19,520 --> 00:13:21,920 Speaker 1: what tanked the stock. Simply that maybe you did get 235 00:13:21,960 --> 00:13:24,080 Speaker 1: an A plus plus this quarter, you got an A 236 00:13:24,200 --> 00:13:26,679 Speaker 1: minus or an A and I'm sure that you know 237 00:13:26,760 --> 00:13:29,559 Speaker 1: translates very well for how grading system in Europe works. 238 00:13:29,640 --> 00:13:31,640 Speaker 1: But I think this is important, especially when it comes 239 00:13:31,720 --> 00:13:33,800 Speaker 1: to where the growth is coming from. Because you looked 240 00:13:33,800 --> 00:13:36,480 Speaker 1: at the data center's demand still very good. If you 241 00:13:36,520 --> 00:13:38,559 Speaker 1: look at some of the gaming chips demand, which remember 242 00:13:38,559 --> 00:13:41,440 Speaker 1: and Vidia came to fruition or came to promise because 243 00:13:41,480 --> 00:13:43,800 Speaker 1: of their visual gaming chip. That was kind of their 244 00:13:43,920 --> 00:13:47,440 Speaker 1: their original claim to fame. Look at their automotive units 245 00:13:47,480 --> 00:13:50,719 Speaker 1: that actually came in softer then expected. That's not unfamiliar 246 00:13:50,880 --> 00:13:52,520 Speaker 1: to what we're seeing here in the EV space. I 247 00:13:52,520 --> 00:13:54,160 Speaker 1: should also add, even though you had some really good 248 00:13:54,240 --> 00:13:56,160 Speaker 1: numbers across the board, some really good beats, I was 249 00:13:56,200 --> 00:13:58,640 Speaker 1: talking about a fifty billion dollars buyback for the share 250 00:13:58,720 --> 00:14:00,920 Speaker 1: as well, and yet the market didn't respond to that. 251 00:14:00,920 --> 00:14:02,640 Speaker 1: So I'm curious what happens at the US open today. 252 00:14:02,720 --> 00:14:04,719 Speaker 2: Yeah, definitely want to watch. I mean, look, this is 253 00:14:04,760 --> 00:14:07,199 Speaker 2: a company that's so large though that it's also a 254 00:14:07,240 --> 00:14:10,360 Speaker 2: macro story. What's the sort of broader market reaction. 255 00:14:10,800 --> 00:14:13,160 Speaker 1: Well, this is coming with a little bit of concern, 256 00:14:13,160 --> 00:14:15,640 Speaker 1: and I should preface this by saying, going into Nvidia 257 00:14:15,679 --> 00:14:18,040 Speaker 1: earnings for the first time in the last couple of quarters, 258 00:14:18,160 --> 00:14:20,680 Speaker 1: you actually had investors look at downside protection. So I'm 259 00:14:20,680 --> 00:14:22,680 Speaker 1: going to get a little nerdy here, but the options 260 00:14:22,720 --> 00:14:26,120 Speaker 1: market was actually looking at how you hedge a downside 261 00:14:26,120 --> 00:14:28,440 Speaker 1: in Nvidia, to the point that the five most traded 262 00:14:28,480 --> 00:14:31,160 Speaker 1: contracts in the S and P five hundred were Nvidia puts, 263 00:14:31,160 --> 00:14:33,520 Speaker 1: So basically that insurance against a drop. And this is 264 00:14:33,520 --> 00:14:36,080 Speaker 1: a really big deal because in previous iterations there has 265 00:14:36,120 --> 00:14:39,200 Speaker 1: been no downside protection. People were really one hundred percent 266 00:14:39,280 --> 00:14:41,200 Speaker 1: on the Nvidia train. And that's the first time you 267 00:14:41,280 --> 00:14:43,400 Speaker 1: kind of saw some jinners, which has only been magnified 268 00:14:43,600 --> 00:14:45,920 Speaker 1: since you got those results. Add on the fact that 269 00:14:45,920 --> 00:14:48,120 Speaker 1: you've got numbers out of Salesforce, you got numbers out 270 00:14:48,120 --> 00:14:51,840 Speaker 1: of CrowdStrike, both of which missed on their revenue, and 271 00:14:51,880 --> 00:14:53,800 Speaker 1: of course Nvidia didn't miss on their revenue, but they 272 00:14:53,840 --> 00:14:55,640 Speaker 1: didn't beat as high. And a lot of that is 273 00:14:55,680 --> 00:14:58,480 Speaker 1: because enterprise demand right now, so your business is your 274 00:14:58,480 --> 00:15:02,040 Speaker 1: big corporates that are investing in computer infrastructure or AI, etc. 275 00:15:02,520 --> 00:15:05,440 Speaker 1: Aren't doing it with as much enthusiasm as they did before. 276 00:15:05,600 --> 00:15:08,200 Speaker 1: That's where the slowing demand is coming from. Whereas consumer 277 00:15:08,240 --> 00:15:11,080 Speaker 1: demand and consumer products are ramping up. Remember, we have 278 00:15:11,400 --> 00:15:13,800 Speaker 1: in addition to the tech space, we have an Apple 279 00:15:13,920 --> 00:15:16,440 Speaker 1: iPhone deb on September ninth, where they're going to be 280 00:15:16,440 --> 00:15:18,960 Speaker 1: revealing their first gen AI iPhone. And that's a big 281 00:15:19,000 --> 00:15:20,960 Speaker 1: deal because it speaks to the idea of how much 282 00:15:21,000 --> 00:15:26,840 Speaker 1: consumer adoption regular like regular mass consumer adoption actually is 283 00:15:26,960 --> 00:15:30,160 Speaker 1: attracted to an AI product, whereas before and all this 284 00:15:30,240 --> 00:15:33,960 Speaker 1: investment is mostly coming from a lot of the bigger companies, 285 00:15:34,000 --> 00:15:35,640 Speaker 1: and that's where the capex spend is coming from. 286 00:15:35,760 --> 00:15:37,600 Speaker 2: Yeah, and of course all of that very much feeding 287 00:15:37,600 --> 00:15:39,440 Speaker 2: into the outperformance of the MAC seven and what we've 288 00:15:39,440 --> 00:15:41,560 Speaker 2: seen on markets. Look, let's think about what we should 289 00:15:41,560 --> 00:15:44,120 Speaker 2: be looking at next. We're watching chip makers in Asia 290 00:15:44,160 --> 00:15:46,680 Speaker 2: this morning in Europe later US hours. One of the 291 00:15:46,720 --> 00:15:48,040 Speaker 2: key benchmarks you're watching. 292 00:15:47,760 --> 00:15:50,000 Speaker 1: Well, we already said TSMC shares take a little bit 293 00:15:50,000 --> 00:15:51,680 Speaker 1: of a beating in the Asia session, but in terms 294 00:15:51,680 --> 00:15:54,160 Speaker 1: of the broader market reaction, you actually aren't seeing as 295 00:15:54,360 --> 00:15:56,840 Speaker 1: bad of a reaction as expected. People were expecting this 296 00:15:56,840 --> 00:15:59,400 Speaker 1: to be this big macro event when it comes to 297 00:15:59,600 --> 00:16:03,480 Speaker 1: things like the South Korean Index, for example, which is 298 00:16:03,600 --> 00:16:07,320 Speaker 1: very heavily weighted towards chips, Japan, crypto bonds, et cetera. 299 00:16:07,400 --> 00:16:09,360 Speaker 1: You're not seeing that macro reaction. And I wonder how 300 00:16:09,400 --> 00:16:11,440 Speaker 1: much of this is because a lot of the pain 301 00:16:11,480 --> 00:16:13,840 Speaker 1: points in Vidio had to do with delays in their 302 00:16:13,880 --> 00:16:17,680 Speaker 1: Blackwell chips specifically as opposed to saying well, AI demand 303 00:16:17,960 --> 00:16:18,480 Speaker 1: is ending. 304 00:16:18,840 --> 00:16:21,280 Speaker 2: Okay, Curti Goute, thanks so much for talking us through. Now, 305 00:16:21,320 --> 00:16:23,520 Speaker 2: the Prime Minister care Starmer has warned people to brace 306 00:16:23,560 --> 00:16:26,720 Speaker 2: for short term pain as the government prepares its budget 307 00:16:26,760 --> 00:16:30,360 Speaker 2: for October. Public finances are facing a massive shortfall and 308 00:16:30,440 --> 00:16:33,440 Speaker 2: intense lobbying is underway to influence who will bear the 309 00:16:33,440 --> 00:16:35,400 Speaker 2: cost of that. Joining us now for more details as 310 00:16:35,400 --> 00:16:38,720 Speaker 2: our UK Politics reporter James Wilcock. James, what, first of 311 00:16:38,760 --> 00:16:41,600 Speaker 2: all have Labor said already about what they're going to do? 312 00:16:41,720 --> 00:16:43,800 Speaker 6: Well, Stee, this has kind of been the story of 313 00:16:43,800 --> 00:16:46,360 Speaker 6: the stomma for sort of Labour's fiscal policy. We knew 314 00:16:46,440 --> 00:16:50,320 Speaker 6: before the election they've committed to no raiss to corporation tax, 315 00:16:50,440 --> 00:16:55,040 Speaker 6: national Insurance VAT income, the big ones, and they also 316 00:16:55,040 --> 00:16:57,440 Speaker 6: committed to not changing the fiscal rules. Now there's some 317 00:16:57,680 --> 00:16:59,800 Speaker 6: up to date reporting from our Senior Economy Report of 318 00:17:00,200 --> 00:17:02,560 Speaker 6: older that they might be wiggling on that, but still 319 00:17:02,640 --> 00:17:05,080 Speaker 6: there's a straight jacket that's been crafted and then over 320 00:17:05,119 --> 00:17:07,879 Speaker 6: the summer they've come into office and found that the 321 00:17:07,880 --> 00:17:11,840 Speaker 6: government had already spent twenty billion pounds that wasn't accounted for. 322 00:17:12,000 --> 00:17:15,119 Speaker 6: That's when the doom and gloom began, which culminated this 323 00:17:15,240 --> 00:17:18,240 Speaker 6: speech to this week from Keir Starmer where he said 324 00:17:18,520 --> 00:17:19,919 Speaker 6: the area is going to be pain and it's going 325 00:17:19,960 --> 00:17:21,879 Speaker 6: to be felt by those with the broader shoulders. That 326 00:17:22,119 --> 00:17:24,680 Speaker 6: has really set the cat amongst the pigeons of those 327 00:17:24,720 --> 00:17:26,879 Speaker 6: who might have the broader shoulders. 328 00:17:27,080 --> 00:17:29,320 Speaker 2: So what sort of pressure is the government now being 329 00:17:29,359 --> 00:17:31,520 Speaker 2: put under it by various larby groups. 330 00:17:31,680 --> 00:17:33,680 Speaker 6: Quite because there's going to be people unhappy no matter 331 00:17:33,720 --> 00:17:35,760 Speaker 6: which way this goes. I mean it always is with 332 00:17:35,800 --> 00:17:39,440 Speaker 6: tough decisions. So you have the ippbr Institute for Public 333 00:17:39,440 --> 00:17:41,879 Speaker 6: Policy Research. They are left leaning think tanks often have 334 00:17:41,920 --> 00:17:44,520 Speaker 6: a lot of influence on labor policy. They want the 335 00:17:44,560 --> 00:17:47,600 Speaker 6: government to address what they call the capital versus income distinction, 336 00:17:47,640 --> 00:17:49,919 Speaker 6: which is basically, we get paid is one way most 337 00:17:49,960 --> 00:17:51,400 Speaker 6: of us make money. The other one is we get 338 00:17:51,400 --> 00:17:53,440 Speaker 6: it from wealth. And they would say that wealth is 339 00:17:53,480 --> 00:17:56,359 Speaker 6: taxed between about ten to twenty eight percent income it 340 00:17:56,400 --> 00:17:58,760 Speaker 6: goes up to forty five percent. There's a big distinction there, 341 00:17:59,080 --> 00:18:02,600 Speaker 6: and they would be unhap if that wasn't equalized because 342 00:18:02,600 --> 00:18:04,720 Speaker 6: it would harm leveling up, and they see that was 343 00:18:04,720 --> 00:18:06,479 Speaker 6: a good way to raise revenue. So you're looking at 344 00:18:06,480 --> 00:18:09,600 Speaker 6: capital gains tax, inheritance tax. You then have some of 345 00:18:09,640 --> 00:18:12,280 Speaker 6: the ultra wealthy their lobby in the government saying if 346 00:18:12,280 --> 00:18:14,399 Speaker 6: capital gains is going to go up, all our clients 347 00:18:14,400 --> 00:18:16,520 Speaker 6: will take their money outside the UK and there's risks 348 00:18:16,520 --> 00:18:18,959 Speaker 6: of a fire sale. You have pension groups who are 349 00:18:18,960 --> 00:18:21,639 Speaker 6: trying to protect tax free sort of perks they have 350 00:18:21,720 --> 00:18:24,000 Speaker 6: around their pensions. And you also have groups in the 351 00:18:24,040 --> 00:18:27,320 Speaker 6: private equity sector lobbying for the stuff. Now that's all 352 00:18:27,359 --> 00:18:29,480 Speaker 6: tax I have to point out. There is one big 353 00:18:29,520 --> 00:18:32,159 Speaker 6: group that everyone leaves out of this debate, which is 354 00:18:32,280 --> 00:18:34,800 Speaker 6: the group's lobbying for labor to do more. This is 355 00:18:34,800 --> 00:18:37,239 Speaker 6: a government that has promised to reform the state and 356 00:18:37,320 --> 00:18:40,480 Speaker 6: do a lot more with money. The groups we always 357 00:18:40,480 --> 00:18:42,679 Speaker 6: talk about are ones just trying to raise revenue to 358 00:18:42,720 --> 00:18:45,760 Speaker 6: cover the books. What we don't talk about enough is 359 00:18:46,160 --> 00:18:48,840 Speaker 6: what the revenue label will have to raise to do 360 00:18:48,960 --> 00:18:52,200 Speaker 6: new things to actually prove itself as a government that 361 00:18:52,600 --> 00:18:55,119 Speaker 6: beyond just the kind of missing twenty billion will be 362 00:18:55,160 --> 00:18:57,800 Speaker 6: a key question going forward as to how much reeves 363 00:18:57,840 --> 00:19:00,479 Speaker 6: the Chancellor will need to raise to do more than 364 00:19:00,600 --> 00:19:02,240 Speaker 6: just kind of stay afloat. 365 00:19:02,680 --> 00:19:05,399 Speaker 2: This is Bloomberg Daybreak Europe, your morning brief on the 366 00:19:05,480 --> 00:19:08,520 Speaker 2: stories making news from London to Wall Street and beyond. 367 00:19:08,800 --> 00:19:12,760 Speaker 9: Look for us on your podcast feed every morning, on Apple, Spotify, 368 00:19:12,880 --> 00:19:14,800 Speaker 9: and anywhere else you get your podcasts. 369 00:19:14,880 --> 00:19:17,879 Speaker 2: You can also listen live each morning on London Dab Radio, 370 00:19:17,920 --> 00:19:21,679 Speaker 2: the Bloomberg Business app, and Bloomberg dot Com. 371 00:19:21,720 --> 00:19:24,479 Speaker 9: Our flagship New York station is also available on your 372 00:19:24,520 --> 00:19:29,240 Speaker 9: Amazon Alexa devices. Just say Alexa play Bloomberg eleven thirty. 373 00:19:29,480 --> 00:19:32,120 Speaker 2: I'm Caroline Hipka and I'm Stephen Carol. Join us again 374 00:19:32,160 --> 00:19:34,760 Speaker 2: tomorrow morning for all the news you need to start 375 00:19:34,800 --> 00:19:40,360 Speaker 2: your day right here on Bloomberg Daybreak Europe