1 00:00:00,160 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,560 --> 00:00:12,799 Speaker 2: This is the Blueberg DAYBAQ podcast, available every morning on Apple, 3 00:00:12,880 --> 00:00:16,360 Speaker 2: Spotify or wherever you listen. It's Thursday, the twenty seventh 4 00:00:16,360 --> 00:00:19,640 Speaker 2: of February in London. I'm Caroline Hepka coming up today 5 00:00:19,960 --> 00:00:24,800 Speaker 2: and Video delivers results that underwhelm high expectations after years 6 00:00:24,800 --> 00:00:28,800 Speaker 2: of blowouts. President Trump says the EU was created to 7 00:00:28,960 --> 00:00:33,080 Speaker 2: screw the United States, as he proposes twenty five percent 8 00:00:33,240 --> 00:00:36,559 Speaker 2: tariffs on the block plus doing it for the gram. 9 00:00:36,760 --> 00:00:39,640 Speaker 2: Why more and more central bankers are posting on the 10 00:00:39,720 --> 00:00:42,680 Speaker 2: social media site. Let's start with a roundup of our 11 00:00:42,720 --> 00:00:46,320 Speaker 2: top stories. Shares in Nvidia fell in after hours trading 12 00:00:46,400 --> 00:00:50,479 Speaker 2: as the AI Darling delivered good but not great results 13 00:00:50,720 --> 00:00:53,760 Speaker 2: in Video. Says that quarterly sales will be slightly above 14 00:00:53,880 --> 00:00:58,320 Speaker 2: analyst estimates at about forty three billion dollars, but gross 15 00:00:58,360 --> 00:01:01,880 Speaker 2: profit margins will be tight to than expected. We got 16 00:01:01,920 --> 00:01:07,559 Speaker 2: reaction from Angelo Zeno, vice president of Equity Research at CFRA. 17 00:01:08,600 --> 00:01:11,280 Speaker 3: The gross margin number was probably the one black eye 18 00:01:11,319 --> 00:01:14,479 Speaker 3: as far as where we kind of were looking at 19 00:01:14,480 --> 00:01:17,679 Speaker 3: the guidance side of things. It was definitely a disappointment. 20 00:01:17,959 --> 00:01:19,880 Speaker 3: I think when you kind of especially look at the 21 00:01:19,880 --> 00:01:22,840 Speaker 3: trajectory of gross margins over the last couple of quarters. 22 00:01:22,840 --> 00:01:24,600 Speaker 3: It kind of hit a peak run rate of about 23 00:01:24,640 --> 00:01:26,840 Speaker 3: seventy eight percent in the first half of. 24 00:01:27,200 --> 00:01:28,600 Speaker 1: Calendar twenty twenty four. 25 00:01:28,959 --> 00:01:32,520 Speaker 3: So the margins continue to compress here going into the 26 00:01:32,560 --> 00:01:35,160 Speaker 3: April quarter. The good news is we do expect that 27 00:01:35,240 --> 00:01:38,480 Speaker 3: to essentially be the trough of the cycle here in 28 00:01:38,520 --> 00:01:39,399 Speaker 3: the April quarter. 29 00:01:39,880 --> 00:01:44,399 Speaker 2: Angelo Zino speaking there as concerns about slowing spending have 30 00:01:44,560 --> 00:01:48,960 Speaker 2: continued to weigh on the artificial intelligence industry. Chinese art 31 00:01:49,040 --> 00:01:52,320 Speaker 2: up Deep Seek has also sparked fears that chatbots can 32 00:01:52,440 --> 00:01:56,080 Speaker 2: be developed at a cheaper rate, potentially reducing the need 33 00:01:56,120 --> 00:02:01,440 Speaker 2: for Nvidia's powerful chips for AI. President Donald Trump says 34 00:02:01,480 --> 00:02:04,360 Speaker 2: that tariff's on products from the European Union will be 35 00:02:04,600 --> 00:02:08,600 Speaker 2: twenty five percent, announcing the changes during a cabinet meeting yesterday, 36 00:02:08,880 --> 00:02:12,519 Speaker 2: he went on to use strong language to attack the block. 37 00:02:13,120 --> 00:02:15,600 Speaker 1: It was formed in order to screw the United States. 38 00:02:15,639 --> 00:02:18,880 Speaker 4: I mean, look, let's be honest, the European Union was 39 00:02:18,919 --> 00:02:20,920 Speaker 4: formed in order to screw the United States. 40 00:02:20,960 --> 00:02:23,640 Speaker 1: That's a purpose serve and they've done a good job 41 00:02:23,680 --> 00:02:24,639 Speaker 1: of it. But now I'm. 42 00:02:24,520 --> 00:02:28,120 Speaker 2: President, well, Trump's proposal for a twenty five percent tariff 43 00:02:28,120 --> 00:02:31,560 Speaker 2: on the EU is new officials later clarified that all 44 00:02:31,600 --> 00:02:35,320 Speaker 2: options are being considered on whether those would affect all 45 00:02:35,400 --> 00:02:38,519 Speaker 2: exports from the block or only certain products or sectors. 46 00:02:38,960 --> 00:02:42,840 Speaker 2: An EU commissioned spokesperson said that the block would act 47 00:02:42,960 --> 00:02:47,720 Speaker 2: quote firmly and immediately against unjustified barriers to free and 48 00:02:47,800 --> 00:02:51,040 Speaker 2: fair trade. Bloomberg Economics has calculated that if the EU 49 00:02:51,120 --> 00:02:54,400 Speaker 2: did face a blanket twenty five percent US tariff, the 50 00:02:54,480 --> 00:02:57,200 Speaker 2: hit to GDP could be as much as one and 51 00:02:57,200 --> 00:03:02,200 Speaker 2: a half percent, with Germany most badly hit. Trump's comments 52 00:03:02,240 --> 00:03:05,119 Speaker 2: on the eukme as he gave a series of apparently 53 00:03:05,160 --> 00:03:09,320 Speaker 2: contradictory answers about his plans for tariffs twenty five percent 54 00:03:09,360 --> 00:03:12,240 Speaker 2: tarifs on Canada and Mexico. The US president said that 55 00:03:12,280 --> 00:03:15,919 Speaker 2: he's not stopping the tariffs, due to come into force 56 00:03:15,960 --> 00:03:18,880 Speaker 2: on the fourth of March, but then he later mentioned 57 00:03:19,160 --> 00:03:22,720 Speaker 2: the second of April as the implementation date. White House 58 00:03:22,720 --> 00:03:27,040 Speaker 2: officials were forced to later clarify that deadline is still 59 00:03:27,200 --> 00:03:32,960 Speaker 2: next Tuesday, although Trump is still undecided on granting another extension. 60 00:03:33,360 --> 00:03:36,440 Speaker 2: UK Chancellor Rachel Reeves says that the British government wants 61 00:03:36,480 --> 00:03:39,720 Speaker 2: to boost to trade with the US. Total trading goods 62 00:03:39,760 --> 00:03:42,800 Speaker 2: and services between the two countries was worth two hundred 63 00:03:42,800 --> 00:03:46,440 Speaker 2: and ninety four billion pounds in twenty twenty four, and 64 00:03:46,560 --> 00:03:49,880 Speaker 2: in an exclusive interview with Bloomberg the G twenty meeting 65 00:03:49,960 --> 00:03:53,040 Speaker 2: in Cape Town, Rachel Reeves made the case for even 66 00:03:53,160 --> 00:03:58,560 Speaker 2: closer economic ties with the UK's biggest single country trading partner. 67 00:03:58,920 --> 00:04:03,200 Speaker 5: In terms of the future trading relationship between the UK 68 00:04:03,600 --> 00:04:06,400 Speaker 5: and the US. Last time that President Trump was in 69 00:04:06,440 --> 00:04:10,240 Speaker 5: the White House, trade and investment between our two countries increase, 70 00:04:10,360 --> 00:04:12,920 Speaker 5: and I have every confidence that that can happen. 71 00:04:12,720 --> 00:04:16,120 Speaker 2: Again, Chancellor Rachel Reeves, speaking there as the Bank of 72 00:04:16,160 --> 00:04:20,760 Speaker 2: England policy maker Swati Dingra warned yesterday that world trade 73 00:04:20,800 --> 00:04:25,240 Speaker 2: appears to be heading for an orderly fragmentation. Well, the 74 00:04:25,320 --> 00:04:28,560 Speaker 2: UK Chancellor's call for closer economic ties comes just as 75 00:04:28,600 --> 00:04:31,800 Speaker 2: Prime Minister Kis Starmer heads to Washington as the latest 76 00:04:31,880 --> 00:04:36,480 Speaker 2: anxious ally hoping to sway the US president's stands towards Ukraine. 77 00:04:37,080 --> 00:04:39,680 Speaker 2: It's the first face to face meeting of the two 78 00:04:39,760 --> 00:04:44,120 Speaker 2: leaders since Trump's election. Bloomberg's James Walcock reports, now. 79 00:04:44,080 --> 00:04:46,320 Speaker 6: The UK has always wanted to be seen as the 80 00:04:46,360 --> 00:04:49,760 Speaker 6: bridge between the US and Europe, with leaders scrambling to 81 00:04:49,839 --> 00:04:53,279 Speaker 6: change Ukraine's fate. Kiss Starma is stressing that's so called 82 00:04:53,360 --> 00:04:54,839 Speaker 6: a special relationship. 83 00:04:55,200 --> 00:05:01,800 Speaker 4: We share fundamental values of openness, of democracy, freedom of speech, 84 00:05:02,080 --> 00:05:05,840 Speaker 4: a freedom which this week we've shown our willingness to 85 00:05:06,040 --> 00:05:10,160 Speaker 4: defend with the biggest sustained increase in our defense spending 86 00:05:10,400 --> 00:05:11,599 Speaker 4: since the Cold War. 87 00:05:12,080 --> 00:05:15,440 Speaker 6: The UK Prime Minister faces a potentially career defining test. 88 00:05:16,080 --> 00:05:18,800 Speaker 6: Will you have any purchase on a US president who 89 00:05:18,839 --> 00:05:22,800 Speaker 6: has been willing to upend transatlantic relations. Starmer's aids tell 90 00:05:22,839 --> 00:05:25,480 Speaker 6: Bloomberg they would be delighted if they can get through 91 00:05:25,520 --> 00:05:29,039 Speaker 6: the week without any public disagreement with Trump in London. 92 00:05:29,200 --> 00:05:30,839 Speaker 6: James Wilcock Bloomberg Radio. 93 00:05:31,440 --> 00:05:35,440 Speaker 2: Now to another story of interest. The US Director of 94 00:05:35,520 --> 00:05:40,119 Speaker 2: National Intelligence Tarlsi Gabbard has called for an investigation into 95 00:05:40,160 --> 00:05:44,640 Speaker 2: the UK ordering Apple to give access for the global 96 00:05:44,720 --> 00:05:47,520 Speaker 2: data of its customers. Gabbart said that the decision could 97 00:05:47,600 --> 00:05:52,800 Speaker 2: leave American encrypted data at risk of being exposed. So far, 98 00:05:52,839 --> 00:05:55,720 Speaker 2: instead of complying with the UK, Apple has removed its 99 00:05:55,839 --> 00:06:01,040 Speaker 2: most advanced encrypted security features in Britain that will potentially 100 00:06:01,040 --> 00:06:03,800 Speaker 2: make it easier for the government or outside hackers to 101 00:06:03,880 --> 00:06:09,600 Speaker 2: obtain UK user data. Months after Chancellor h Vve's crackdown 102 00:06:09,720 --> 00:06:12,960 Speaker 2: on the UK's so called non dom tax regime, wealthy 103 00:06:13,000 --> 00:06:16,760 Speaker 2: foreigners are making their concerns known more now from Bloomberg's 104 00:06:16,760 --> 00:06:17,560 Speaker 2: team at Adebayo. 105 00:06:18,320 --> 00:06:22,880 Speaker 7: The UK government is having open conversations with wealthy overseas 106 00:06:22,960 --> 00:06:27,599 Speaker 7: nationals about tax that's according to Investment Minister Poppy Gustafferson, 107 00:06:27,640 --> 00:06:30,840 Speaker 7: who says there's a collaborative dialogue between the two groups 108 00:06:31,080 --> 00:06:34,320 Speaker 7: as the Treasury tries to troubleshoot issues. The news comes 109 00:06:34,360 --> 00:06:37,840 Speaker 7: after a decision to scrap a preferential tax scheme which 110 00:06:37,839 --> 00:06:41,159 Speaker 7: allowed foreign residents to avoid levies on UK earnings for 111 00:06:41,240 --> 00:06:44,640 Speaker 7: up to fifteen years, a move which provoked the ayre 112 00:06:44,839 --> 00:06:48,800 Speaker 7: of the ultra rich. Now, Gustafferson says the Chancellor is 113 00:06:48,920 --> 00:06:51,520 Speaker 7: trying to create a tax structure which will be viewed 114 00:06:51,560 --> 00:06:55,160 Speaker 7: as fair by the general public but prevents talented foreigners 115 00:06:55,160 --> 00:06:57,840 Speaker 7: from shunning the UK in London. To you at a 116 00:06:57,880 --> 00:06:59,440 Speaker 7: Bayo Bloomberg Radio. 117 00:06:59,320 --> 00:07:02,520 Speaker 2: And those stories, Let's get to the markets this hour. 118 00:07:02,640 --> 00:07:06,320 Speaker 2: Europeans stop future sinking half of one percent. This morning 119 00:07:06,400 --> 00:07:09,760 Speaker 2: they dropped one percent yesterday after President Trump's threat of 120 00:07:10,000 --> 00:07:14,000 Speaker 2: twenty five percent tariffs against the EU. So interesting the 121 00:07:14,040 --> 00:07:19,400 Speaker 2: impact via stocks. The Euros also weaker this morning in 122 00:07:19,480 --> 00:07:22,400 Speaker 2: terms of the trade. Now we're down two tens of 123 00:07:22,440 --> 00:07:25,760 Speaker 2: one percent one spot zero four six seven. US stop 124 00:07:25,840 --> 00:07:28,120 Speaker 2: futures are high for the S and P five hundred 125 00:07:28,160 --> 00:07:30,840 Speaker 2: up by three tenths of one percent. We saw Nvidia 126 00:07:30,920 --> 00:07:33,080 Speaker 2: shares falling one and a half percent in ex traded 127 00:07:33,200 --> 00:07:36,840 Speaker 2: in extended trading yesterday. The stock did rise though before 128 00:07:36,880 --> 00:07:40,120 Speaker 2: the earnings release, up three point seven percent, sort of 129 00:07:40,120 --> 00:07:43,640 Speaker 2: ahead of the release. Asian stocks though, did fall because 130 00:07:43,760 --> 00:07:47,600 Speaker 2: of the underwhelming seen as underwhelming results from en Video 131 00:07:47,640 --> 00:07:50,920 Speaker 2: or not quite as as amazing as people had been 132 00:07:50,960 --> 00:07:54,720 Speaker 2: hoping for. So you've got the MSCI Aged Pacific Index 133 00:07:54,760 --> 00:07:56,880 Speaker 2: down by three tents of one percent, Hank saying Tech 134 00:07:56,920 --> 00:08:00,600 Speaker 2: index dropping two percent. Tenny US treasury yield so yesterday 135 00:08:00,640 --> 00:08:04,200 Speaker 2: dropped four basis points. They're up to basis points this morning. 136 00:08:04,240 --> 00:08:07,760 Speaker 2: So we're trading at four twenty seven on that ten 137 00:08:07,880 --> 00:08:10,680 Speaker 2: year yield. In a moment, we are going to bring 138 00:08:10,760 --> 00:08:13,200 Speaker 2: you more details in fact, on Nvidia's first set of 139 00:08:13,240 --> 00:08:17,640 Speaker 2: earning since the emergence of deep seek But first, more 140 00:08:17,680 --> 00:08:21,360 Speaker 2: on this story that's come high today. Recruitment firms are 141 00:08:21,440 --> 00:08:26,080 Speaker 2: noticing that junior bankers are using AI to draft their resumes, 142 00:08:26,200 --> 00:08:30,000 Speaker 2: but beware if you don't properly proofread the application and 143 00:08:30,160 --> 00:08:34,280 Speaker 2: errors creep in. It's raising red flags for potential investment 144 00:08:34,360 --> 00:08:38,480 Speaker 2: banking employers. Of course, they are focused on the detail 145 00:08:38,559 --> 00:08:42,760 Speaker 2: that apparently you need in those junior banking jobs. Bloomberg's 146 00:08:42,760 --> 00:08:45,400 Speaker 2: Georgia Hill has the story and the details on this 147 00:08:45,520 --> 00:08:50,840 Speaker 2: about the proliferation of AI assisted resumes. Her point essentially 148 00:08:51,000 --> 00:08:53,760 Speaker 2: is that it is slowing the hiring process down because 149 00:08:53,800 --> 00:08:57,040 Speaker 2: everybody has to actually spend more time thinking about whether 150 00:08:57,080 --> 00:09:00,679 Speaker 2: the applicant is really as amazing as the AI. You know, 151 00:09:00,760 --> 00:09:05,720 Speaker 2: maybe AI assisted a CV might demonstrate, which is interesting 152 00:09:05,800 --> 00:09:08,720 Speaker 2: and also a bit ironic given that some recruiters are 153 00:09:08,720 --> 00:09:12,320 Speaker 2: also using AI to help filter applicants. Anyway, we could 154 00:09:12,320 --> 00:09:14,560 Speaker 2: all see the kind of arms race in terms of 155 00:09:14,960 --> 00:09:20,480 Speaker 2: AI generated cvs and AI generated readers of cvs. But 156 00:09:20,559 --> 00:09:22,440 Speaker 2: it's a really nice piece on the Blueberg terminal. I 157 00:09:22,440 --> 00:09:23,959 Speaker 2: think if you're out there looking for a job, one 158 00:09:23,960 --> 00:09:27,240 Speaker 2: to think about now. In Nvidia reported results which were 159 00:09:27,280 --> 00:09:30,720 Speaker 2: tinged with a touch of disappointment yesterday after two years 160 00:09:30,720 --> 00:09:35,079 Speaker 2: of blockbuster results and stratospheric stock price gains in twenty 161 00:09:35,160 --> 00:09:38,120 Speaker 2: twenty three and twenty twenty four. Joining us this morning, 162 00:09:38,120 --> 00:09:40,800 Speaker 2: it's been big intelligence. Is senior analyst Robert Lee to 163 00:09:40,880 --> 00:09:44,040 Speaker 2: discuss this. Robert, great to have you with us this morning. 164 00:09:44,320 --> 00:09:47,480 Speaker 2: A lot has been written on the Bloomberg terminal, on 165 00:09:47,520 --> 00:09:50,720 Speaker 2: the website about the Nvidia results. Everybody's got a view 166 00:09:50,960 --> 00:09:54,199 Speaker 2: because this company is so important. It's been the dominant 167 00:09:54,240 --> 00:09:59,240 Speaker 2: seller of processes that create and run AI software. Just firstly, 168 00:09:59,320 --> 00:10:02,880 Speaker 2: on the out for the first quarter, what have they said. 169 00:10:03,240 --> 00:10:05,760 Speaker 8: Okay, thanks very much for having me on. I guess 170 00:10:06,840 --> 00:10:09,360 Speaker 8: investors have become used to, or you know, being fed 171 00:10:09,400 --> 00:10:12,079 Speaker 8: a diet of continual Beaten rays with the company, and 172 00:10:13,000 --> 00:10:14,920 Speaker 8: you know it's got a long track record of doing that, 173 00:10:15,040 --> 00:10:17,840 Speaker 8: running over multiple quarters. So I think, first of all, 174 00:10:17,880 --> 00:10:21,559 Speaker 8: the stop price reaction, you saw the rate of incremental 175 00:10:21,600 --> 00:10:25,520 Speaker 8: beaten raises diminishing. Maybe part of that reflects the higher base, 176 00:10:26,640 --> 00:10:30,480 Speaker 8: but also reflects, I think a change in narrative with 177 00:10:31,160 --> 00:10:34,520 Speaker 8: investors focusing more on the potential risks that in video 178 00:10:34,600 --> 00:10:38,840 Speaker 8: faces in the short to medium term and not just 179 00:10:38,960 --> 00:10:42,400 Speaker 8: the positive you know underlying story which is very well known. 180 00:10:42,840 --> 00:10:46,439 Speaker 8: So the Q one guidance to answer your question came. 181 00:10:47,520 --> 00:10:49,960 Speaker 8: There's something referred to with in markets as whisper numbers. 182 00:10:50,000 --> 00:10:52,480 Speaker 8: I mean, there are official consensus numbers, but there is 183 00:10:52,520 --> 00:10:55,080 Speaker 8: always a view that, you know, a company may beat 184 00:10:55,760 --> 00:10:59,360 Speaker 8: or or miss those. So I think there was some 185 00:10:59,400 --> 00:11:02,640 Speaker 8: disappointment and there was a hope within some sections of 186 00:11:02,640 --> 00:11:06,360 Speaker 8: investors that the company's revenue and gross margin guidance could 187 00:11:06,400 --> 00:11:08,360 Speaker 8: come in a little bit better than it actually did. 188 00:11:08,920 --> 00:11:11,040 Speaker 8: So I think that's one short term trigger. But as 189 00:11:11,040 --> 00:11:14,080 Speaker 8: I said, I think the narrative is changing. One of 190 00:11:14,120 --> 00:11:17,400 Speaker 8: the major focuses on the risk front is obviously the 191 00:11:17,440 --> 00:11:18,960 Speaker 8: scope for further tariffs. 192 00:11:19,520 --> 00:11:21,079 Speaker 1: So obviously with. 193 00:11:21,040 --> 00:11:24,520 Speaker 8: A new administration in place, that remains a very real 194 00:11:24,559 --> 00:11:27,480 Speaker 8: threat to them because China is still a very material 195 00:11:27,520 --> 00:11:28,679 Speaker 8: part of their business. 196 00:11:29,840 --> 00:11:33,800 Speaker 2: So that just unpacked. You talk about beaten rays, explain 197 00:11:33,880 --> 00:11:34,880 Speaker 2: that to the audience. 198 00:11:35,880 --> 00:11:39,040 Speaker 8: Well, I guess stock market's run and many different things, 199 00:11:39,040 --> 00:11:41,880 Speaker 8: but in short term, it's all about expectations and about 200 00:11:41,920 --> 00:11:48,720 Speaker 8: the incremental performance or it's you know, for a stop 201 00:11:48,720 --> 00:11:51,120 Speaker 8: price to go up in the near term. Then the 202 00:11:51,160 --> 00:11:54,880 Speaker 8: guidance that a company sets and the numbers they report 203 00:11:55,440 --> 00:11:59,160 Speaker 8: on their earning state ideally would need to come ahead 204 00:11:59,240 --> 00:12:02,960 Speaker 8: of what was expt So there's an incremental positive surprise 205 00:12:03,360 --> 00:12:07,840 Speaker 8: and obviously the reverse you know, disappointment if as we've 206 00:12:07,880 --> 00:12:11,400 Speaker 8: seen with in video on the Q four numbers. So 207 00:12:11,600 --> 00:12:14,400 Speaker 8: in absolute terms, these are still good numbers, but they 208 00:12:15,080 --> 00:12:18,640 Speaker 8: beat the actual reported numbers, and more importantly, the guidance 209 00:12:19,160 --> 00:12:22,920 Speaker 8: didn't quite meet the very highest of expectations, So there 210 00:12:22,960 --> 00:12:27,079 Speaker 8: was incremental disappointment even though the numbers themselves were good. 211 00:12:27,760 --> 00:12:31,800 Speaker 2: Yeah, understood good. In terms of the CEO, Jensen Wang, 212 00:12:32,200 --> 00:12:36,840 Speaker 2: he talked about demand for Blackwell is amazing. Now of 213 00:12:36,880 --> 00:12:39,920 Speaker 2: course there's a new model deep Seek. How did the 214 00:12:39,960 --> 00:12:42,600 Speaker 2: CEO's have come across given that there is this new 215 00:12:42,600 --> 00:12:46,560 Speaker 2: competitive landscape, as you say, you know, it does look 216 00:12:46,600 --> 00:12:48,600 Speaker 2: like things are quite different now for in video. 217 00:12:49,280 --> 00:12:52,280 Speaker 8: Yeah, well, Jensen Wang is not just a CEO, and 218 00:12:52,760 --> 00:12:55,600 Speaker 8: you know and played an instrumental role in the you know, 219 00:12:55,679 --> 00:12:59,160 Speaker 8: the humongous growth that this company has seen in recent years. 220 00:12:59,160 --> 00:13:03,679 Speaker 8: He's their chief farc detect, their chief evangelist, their chief cheerleader. 221 00:13:03,880 --> 00:13:06,199 Speaker 8: So you know, he's very good at setting out the 222 00:13:06,240 --> 00:13:08,960 Speaker 8: stall and giving the sels pitch, which is what he 223 00:13:09,000 --> 00:13:13,760 Speaker 8: continues to do. Again, I think the narrative is changing 224 00:13:14,040 --> 00:13:17,640 Speaker 8: and more with a focus on these software companies and 225 00:13:17,679 --> 00:13:20,560 Speaker 8: big tech platforms that are ultimately buying these chips, are 226 00:13:20,600 --> 00:13:23,360 Speaker 8: installing it in the data centers. You know, a point 227 00:13:23,400 --> 00:13:26,080 Speaker 8: I've tried to repeatedly make, but both in our little 228 00:13:26,160 --> 00:13:29,080 Speaker 8: chats and then the publish research we have in the terminal. 229 00:13:29,240 --> 00:13:33,520 Speaker 8: It's monetization because again, if we did a straw pole 230 00:13:33,600 --> 00:13:35,920 Speaker 8: of listeners on this call at the moment, how many 231 00:13:35,960 --> 00:13:37,760 Speaker 8: of us are actually putting our hand in our pocket 232 00:13:37,960 --> 00:13:38,600 Speaker 8: and paying. 233 00:13:38,400 --> 00:13:39,280 Speaker 1: For these services? 234 00:13:39,559 --> 00:13:43,120 Speaker 8: And if we did, probably the chances we just switched 235 00:13:43,120 --> 00:13:47,560 Speaker 8: to another service because there are many, many alternative supplies 236 00:13:47,559 --> 00:13:51,360 Speaker 8: out the moment. The majority of AI bots or AI 237 00:13:52,080 --> 00:13:55,280 Speaker 8: tools are available for free. There is a low level 238 00:13:55,280 --> 00:13:58,640 Speaker 8: of product differentiation, you know, in many respects, or you 239 00:13:58,679 --> 00:14:02,760 Speaker 8: go back to textbook definitions, it is a commoditize sector. 240 00:14:03,200 --> 00:14:06,600 Speaker 8: So again I'm not referring to the hardware side. Obviously 241 00:14:06,679 --> 00:14:08,720 Speaker 8: in Nvidia is the global leader and what they do, 242 00:14:09,120 --> 00:14:13,240 Speaker 8: they're effectively and monopoly at the moment, But the monetization 243 00:14:13,320 --> 00:14:16,319 Speaker 8: of the software companies, you know, the US tech platforms 244 00:14:16,480 --> 00:14:19,000 Speaker 8: due to spend around three hundred and fifty billion US 245 00:14:19,120 --> 00:14:21,560 Speaker 8: dollars this year, So I would argue that the rate 246 00:14:21,600 --> 00:14:25,320 Speaker 8: of monetization is not coming through anywhere fast enough to 247 00:14:25,480 --> 00:14:27,360 Speaker 8: justify these very high levels of CAPEX. 248 00:14:27,840 --> 00:14:30,320 Speaker 2: Right, Robert, thank you so much for your time this morning. 249 00:14:30,560 --> 00:14:34,160 Speaker 2: This is such an interesting space. Bloombig Intelligence is senior 250 00:14:34,200 --> 00:14:35,360 Speaker 2: analyst Robert Lee. 251 00:14:35,520 --> 00:14:35,960 Speaker 4: Thank you. 252 00:14:36,480 --> 00:14:40,200 Speaker 2: Okay, let's dive into another interesting story. So central bankers 253 00:14:40,680 --> 00:14:45,200 Speaker 2: are trying their hand at marketing and influencing on social media. 254 00:14:45,600 --> 00:14:48,680 Speaker 2: This is in order to reach gen z and millennials 255 00:14:48,760 --> 00:14:51,800 Speaker 2: in the wake of an inflation crisis in many countries 256 00:14:51,840 --> 00:14:58,160 Speaker 2: and also the surprising issue of conspiracy theories around policy making. 257 00:14:58,280 --> 00:15:01,880 Speaker 2: Joining us now is our UK economy reporter, Arena and 258 00:15:02,040 --> 00:15:05,840 Speaker 2: girl who's been writing about why something like one hundred 259 00:15:05,880 --> 00:15:09,960 Speaker 2: central banks have actually established a presence on Instagram. Arena. 260 00:15:10,000 --> 00:15:13,560 Speaker 2: It's a great story, great tale. What are central banks 261 00:15:13,680 --> 00:15:15,640 Speaker 2: doing with their Insta accounts? 262 00:15:16,400 --> 00:15:20,040 Speaker 1: Hi, Caroline? Well, you know they're trying to meet. 263 00:15:19,840 --> 00:15:23,440 Speaker 9: Gen zs where they are, and that is on social media. 264 00:15:23,480 --> 00:15:26,360 Speaker 9: So most gen zs get their news on social media, 265 00:15:27,280 --> 00:15:29,840 Speaker 9: and central banks are trying to go there speak in 266 00:15:29,880 --> 00:15:33,160 Speaker 9: their language, so trying to keep the talk of basis 267 00:15:33,160 --> 00:15:38,320 Speaker 9: points down to regain their trust, counter misinformation and educate. 268 00:15:39,640 --> 00:15:41,960 Speaker 9: And what does that look like, Well, you know those 269 00:15:42,040 --> 00:15:44,720 Speaker 9: videos of celebrities showing a day in their life on 270 00:15:44,760 --> 00:15:47,640 Speaker 9: social media, So for example, some central bankers are trying 271 00:15:47,720 --> 00:15:51,240 Speaker 9: to do that as well, and you know, you can 272 00:15:51,320 --> 00:15:53,120 Speaker 9: imagine with various degrees of success. 273 00:15:53,200 --> 00:15:56,000 Speaker 1: And I think the Bank of Canada its own videos are. 274 00:15:55,880 --> 00:15:59,440 Speaker 9: Seemingly ai narrated, so they can look clumsy sometimes. 275 00:16:00,400 --> 00:16:03,080 Speaker 1: And then there are all sorts of funny posts. 276 00:16:03,560 --> 00:16:07,800 Speaker 9: D e c B has young people explaining it's decisions, 277 00:16:07,840 --> 00:16:11,720 Speaker 9: it's industrate decisions. And for Valentine's Day they had this 278 00:16:12,160 --> 00:16:16,080 Speaker 9: photo of the eurosymbol made of chocolate hearts captioned with 279 00:16:16,440 --> 00:16:19,360 Speaker 9: roses are red, violets are blue inflations on track to 280 00:16:19,360 --> 00:16:22,440 Speaker 9: settle around too, and. 281 00:16:22,160 --> 00:16:25,360 Speaker 2: So that's it's also very cheesy then as well, exactly 282 00:16:25,600 --> 00:16:26,240 Speaker 2: exactly and a. 283 00:16:26,240 --> 00:16:30,480 Speaker 9: Bit you know, poking fun at themselves as well. And 284 00:16:30,920 --> 00:16:34,040 Speaker 9: I mean maybe the most striking for me was the 285 00:16:34,040 --> 00:16:39,120 Speaker 9: Bank of Jamaica. And the Bank of Jamaica has this 286 00:16:40,080 --> 00:16:45,040 Speaker 9: lunchtime concerts at the Central Bank, these reggae concerts, and 287 00:16:45,200 --> 00:16:47,960 Speaker 9: on its Instagram account you can find videos of people 288 00:16:48,320 --> 00:16:52,600 Speaker 9: in the central bank, just random people dancing to the 289 00:16:52,680 --> 00:16:57,040 Speaker 9: reggae music. So yeah, that's that was the funniest example 290 00:16:57,280 --> 00:16:58,760 Speaker 9: and probably the most successful. You know. 291 00:16:59,360 --> 00:17:01,720 Speaker 2: Yeah, So this the central bankers sort of needing to 292 00:17:01,760 --> 00:17:05,040 Speaker 2: reach out to the public is very interesting obviously because 293 00:17:05,640 --> 00:17:09,520 Speaker 2: you know, they're officials with such importance, but they're not elected, 294 00:17:09,680 --> 00:17:12,639 Speaker 2: so you know, they're kind of interactions with the public. 295 00:17:12,680 --> 00:17:14,800 Speaker 2: It's quite interesting. What do you think of the aim 296 00:17:14,920 --> 00:17:17,320 Speaker 2: of all of this is then? And also, I guess 297 00:17:17,359 --> 00:17:20,520 Speaker 2: what does success look like? I mean, some of what 298 00:17:20,560 --> 00:17:24,680 Speaker 2: you outlined, yes is perhaps sounds a bit a bit 299 00:17:24,760 --> 00:17:29,679 Speaker 2: cheesy or not as glamorous as the successful Instagram posts 300 00:17:29,680 --> 00:17:33,480 Speaker 2: that you might expect. But what are what is the aim? 301 00:17:34,320 --> 00:17:36,680 Speaker 9: That's a great question, and I think many people are 302 00:17:36,720 --> 00:17:39,800 Speaker 9: still trying to answer the questions. So the big aim is, 303 00:17:39,880 --> 00:17:42,399 Speaker 9: you know, to to engage to educate the public, because 304 00:17:42,440 --> 00:17:47,360 Speaker 9: central banker's decisions on interest rate policies they affect everyone. 305 00:17:47,440 --> 00:17:49,520 Speaker 9: You know, we can just think of mortgage rates as 306 00:17:49,560 --> 00:17:52,879 Speaker 9: the main example, but most people don't understand how it 307 00:17:52,960 --> 00:17:55,320 Speaker 9: works or how it affects them. So central bankers have 308 00:17:55,400 --> 00:17:56,879 Speaker 9: to be out there and they have to set the 309 00:17:57,000 --> 00:18:00,000 Speaker 9: narrative and often they have to be a bit cheat 310 00:18:00,480 --> 00:18:03,280 Speaker 9: because that's what people consume on social media, or that's 311 00:18:03,400 --> 00:18:06,760 Speaker 9: what central bankers think people consume on social media. But 312 00:18:06,920 --> 00:18:09,960 Speaker 9: I think there is a limit to how successful they 313 00:18:10,000 --> 00:18:12,960 Speaker 9: can be. As someone put it to me, central bankers 314 00:18:13,040 --> 00:18:15,480 Speaker 9: have to be on Instagram, but they won't be effective. 315 00:18:15,560 --> 00:18:18,120 Speaker 1: But they still have to be there, and. 316 00:18:18,040 --> 00:18:21,960 Speaker 9: That's because there's this trade off between precision and accessibility 317 00:18:22,000 --> 00:18:24,639 Speaker 9: that they have and politicians, for example, don't have this. 318 00:18:25,240 --> 00:18:27,280 Speaker 1: So central bankers are technocrats. 319 00:18:27,440 --> 00:18:29,560 Speaker 9: They are precise, and this is what makes them good 320 00:18:29,600 --> 00:18:32,639 Speaker 9: at their job to set interest rates, but that is 321 00:18:32,680 --> 00:18:37,159 Speaker 9: also what makes them a bit less accessible to the 322 00:18:37,200 --> 00:18:40,720 Speaker 9: general public, a bit clumsier when trying to explain interest 323 00:18:40,840 --> 00:18:42,639 Speaker 9: rates to an average person. 324 00:18:42,840 --> 00:18:45,440 Speaker 2: I also thought it was interesting that it's the central 325 00:18:45,520 --> 00:18:48,639 Speaker 2: banks that you pick out, as you know, having an 326 00:18:48,720 --> 00:18:52,680 Speaker 2: Instagram feed. There aren't that many individual policy makers who do. 327 00:18:53,200 --> 00:18:55,520 Speaker 2: But there is a big exception of course, that's the 328 00:18:55,560 --> 00:19:00,119 Speaker 2: ECB's Christine Legarde. What is she using her Instagram feed for? 329 00:19:01,280 --> 00:19:04,000 Speaker 9: Well, that's right, and you know, Christine la guard ironically 330 00:19:04,119 --> 00:19:08,320 Speaker 9: has twice as many Instagram followers as the as the ECB. 331 00:19:09,320 --> 00:19:11,080 Speaker 9: And you know, I should add that the ECB is 332 00:19:11,080 --> 00:19:14,119 Speaker 9: one of the most active central banks on Instagram, So 333 00:19:14,200 --> 00:19:15,760 Speaker 9: you know the fact that Christine la Guard is more 334 00:19:15,800 --> 00:19:19,760 Speaker 9: successful than her own bank is quite telling. You know, 335 00:19:19,800 --> 00:19:23,560 Speaker 9: she's one of those rare central bankers that commands attention 336 00:19:23,720 --> 00:19:26,600 Speaker 9: to herself. She's not camera shy. She invites the camera. 337 00:19:27,560 --> 00:19:30,199 Speaker 9: So she has all these videos where she talks to 338 00:19:30,240 --> 00:19:33,119 Speaker 9: the camera and she, you know, says I met with 339 00:19:33,920 --> 00:19:36,320 Speaker 9: this friend and colleague of mine, or you know, I'm 340 00:19:36,359 --> 00:19:38,760 Speaker 9: in Lithuania right now for x or for for y, 341 00:19:40,080 --> 00:19:43,200 Speaker 9: and she you know, sometimes she would also post stuff 342 00:19:43,240 --> 00:19:46,240 Speaker 9: like a photo of the Notre Dame after the reopening, 343 00:19:46,400 --> 00:19:50,880 Speaker 9: so trying to give a bit of a glimpse into 344 00:19:50,920 --> 00:19:54,280 Speaker 9: her life as well. And I think that one of 345 00:19:54,320 --> 00:19:58,280 Speaker 9: the more telling examples of Christine La Guard's sort of 346 00:19:58,480 --> 00:20:01,080 Speaker 9: social media presence and relateationship with the media and with 347 00:20:01,119 --> 00:20:05,240 Speaker 9: the public is when she decided when the ECB decided 348 00:20:05,280 --> 00:20:07,359 Speaker 9: to cut interest rates for the first time in the 349 00:20:07,400 --> 00:20:11,280 Speaker 9: cycle last summer, and she wore a golden necklace saying 350 00:20:11,480 --> 00:20:14,400 Speaker 9: in spelling out in charge at the press conference when 351 00:20:14,400 --> 00:20:17,159 Speaker 9: she was announcing this decision, which obviously attracted lots of 352 00:20:17,200 --> 00:20:20,840 Speaker 9: cameras and a lot of people were speaking about this afterwards, 353 00:20:20,840 --> 00:20:24,760 Speaker 9: so I guess that was a successful, successful attempt to 354 00:20:24,960 --> 00:20:25,639 Speaker 9: reach the public. 355 00:20:26,680 --> 00:20:29,439 Speaker 10: This is Bloomberg Daybreak Europe, your morning brief on the 356 00:20:29,480 --> 00:20:32,520 Speaker 10: stories making news from London to Wall Street and beyond. 357 00:20:32,800 --> 00:20:36,800 Speaker 2: Look for us on your podcast feed every morning, on Apple, Spotify, 358 00:20:36,880 --> 00:20:38,840 Speaker 2: and anywhere else you get your podcasts. 359 00:20:38,880 --> 00:20:41,920 Speaker 10: You can also listen live each morning on London DAB Radio, 360 00:20:41,960 --> 00:20:45,600 Speaker 10: the Bloomberg Business app, and Bloomberg dot Com. 361 00:20:45,720 --> 00:20:48,479 Speaker 2: Our flagship New York station is also available on your 362 00:20:48,520 --> 00:20:53,240 Speaker 2: Amazon Alexa devices. Just say Alexa play Bloomberg eleven thirty. 363 00:20:53,480 --> 00:20:56,160 Speaker 10: I'm Caroline Hepca and I'm Stephen Carroll. Join us again 364 00:20:56,160 --> 00:20:58,760 Speaker 10: tomorrow morning for all the news you need to start 365 00:20:58,800 --> 00:21:02,480 Speaker 10: your day. Right here Bloomberg day Break Europe. 366 00:21:03,600 --> 00:21:06,000 Speaker 1: Mm hmm