1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:09,760 --> 00:00:12,639 Speaker 2: This is the Bloomberg DAYVAC podcast. Good morning, It's Friday, 3 00:00:12,680 --> 00:00:15,920 Speaker 2: the thirteenth of February. I'm Caroline Hepgat in London and. 4 00:00:15,840 --> 00:00:19,560 Speaker 1: I'm Stephen Carolin Brussels. Coming up today, a former karaoke 5 00:00:19,720 --> 00:00:24,200 Speaker 1: company drags the logistics industry into the AI scare trade. 6 00:00:24,600 --> 00:00:28,520 Speaker 2: Hungary's opposition leader accuses Victor Auban of using a sex 7 00:00:28,640 --> 00:00:31,880 Speaker 2: tape of a consensual encounter to smear him. 8 00:00:32,080 --> 00:00:35,480 Speaker 1: And four years on from Russia's full scale invasion, the economic, 9 00:00:35,520 --> 00:00:40,520 Speaker 1: political and security fallout is reverberating far beyond Ukraine's borders. 10 00:00:41,120 --> 00:00:43,280 Speaker 3: Let's start with a roundup of our top stories. 11 00:00:44,159 --> 00:00:46,320 Speaker 1: Yet more companies are being caught up in the so 12 00:00:46,479 --> 00:00:50,520 Speaker 1: called AI scare trade. Logistic stocks plunged on Wall Street 13 00:00:50,560 --> 00:00:53,880 Speaker 1: triggered by a former karaoke company's announcement of a new 14 00:00:53,920 --> 00:00:57,520 Speaker 1: platform algorithm, is only worth a tiny fraction of the 15 00:00:57,600 --> 00:01:00,720 Speaker 1: value that was erased from a constellation of large companies, 16 00:01:00,880 --> 00:01:04,000 Speaker 1: with the Russell three thousand Trucking index tumbling by six 17 00:01:04,040 --> 00:01:07,520 Speaker 1: point six percent. The sharp move lower follows weeks of 18 00:01:07,600 --> 00:01:12,320 Speaker 1: mounting anxiety over AI's impact across multiple sectors with concerns 19 00:01:12,360 --> 00:01:16,200 Speaker 1: now showing signs of morphing into a broader reassessment of risk. 20 00:01:16,880 --> 00:01:20,280 Speaker 1: Asian stocks followed. US index is lower, while traditional safe 21 00:01:20,280 --> 00:01:24,120 Speaker 1: haven assets including gold, copper, and silver also declined. Sharply 22 00:01:24,800 --> 00:01:28,960 Speaker 1: Motley Fool Asset Managements Shelby McFadden says this marks the 23 00:01:29,000 --> 00:01:32,000 Speaker 1: next stage of the AI cycle and that it is 24 00:01:32,080 --> 00:01:34,119 Speaker 1: unfolding faster than she expected. 25 00:01:35,080 --> 00:01:37,720 Speaker 4: Now we're starting to even think about labor implications, which 26 00:01:37,760 --> 00:01:40,000 Speaker 4: I myself didn't think the market would start to consider 27 00:01:40,000 --> 00:01:43,199 Speaker 4: for maybe another couple of months. So seems that now 28 00:01:43,560 --> 00:01:45,720 Speaker 4: maybe some investors are doing a little bit of a 29 00:01:45,760 --> 00:01:48,640 Speaker 4: spiral where it's how many things does this touch? Is 30 00:01:48,680 --> 00:01:51,000 Speaker 4: this a sort of splatter where we need to look 31 00:01:51,040 --> 00:01:53,560 Speaker 4: all around the room and find all the different places 32 00:01:53,560 --> 00:01:55,960 Speaker 4: that there is this sort of AI residue. Seems to 33 00:01:56,000 --> 00:01:57,640 Speaker 4: me that that's the market's conclusion right now. 34 00:01:58,400 --> 00:02:01,640 Speaker 1: McFadden added that she s's Legit sticks and consultancies as 35 00:02:01,680 --> 00:02:06,120 Speaker 1: among the more inefficient sectors at risk. The latest market 36 00:02:06,160 --> 00:02:09,120 Speaker 1: ructions come as Anthropic announced it has completed a thirty 37 00:02:09,160 --> 00:02:12,359 Speaker 1: billion dollar funding round at a three hundred and eighty 38 00:02:12,360 --> 00:02:17,080 Speaker 1: billion dollar valuation. The firm's technology, including coding agents and 39 00:02:17,160 --> 00:02:20,600 Speaker 1: tools that automate enterprise work tasks, has been at the 40 00:02:20,639 --> 00:02:23,639 Speaker 1: heart of recent selloffs that have shaken global markets. 41 00:02:24,800 --> 00:02:28,079 Speaker 2: US President Donald Trump is reportedly looking to scale back 42 00:02:28,200 --> 00:02:31,959 Speaker 2: tariffs on steel and aluminium goods. The Financial Time says 43 00:02:32,000 --> 00:02:34,960 Speaker 2: the White House is looking at introducing more targeted measures 44 00:02:35,000 --> 00:02:36,799 Speaker 2: as a way to combat the cost of living. 45 00:02:36,960 --> 00:02:38,400 Speaker 3: Blue Makes James Walcock has. 46 00:02:38,240 --> 00:02:42,240 Speaker 5: More Republicans are growing anxious. Earlier this week, the House 47 00:02:42,280 --> 00:02:46,200 Speaker 5: of representstives pass to build directly targeting the president's tariffs 48 00:02:46,240 --> 00:02:50,160 Speaker 5: on Canadian imports. It's this growing nervousness about the cost 49 00:02:50,160 --> 00:02:53,120 Speaker 5: of living and upcoming midterms that are the background to 50 00:02:53,160 --> 00:02:57,520 Speaker 5: the ft story. The paper site's three unnamed sources saying 51 00:02:57,520 --> 00:03:01,720 Speaker 5: White House trade officials were worried hurting consumers by hitting 52 00:03:01,720 --> 00:03:05,440 Speaker 5: the prices of food and drink. Scans countries including the UK, 53 00:03:05,760 --> 00:03:08,800 Speaker 5: Mexico and Canada, as well as EU members could stand 54 00:03:08,800 --> 00:03:12,919 Speaker 5: to benefit from any easing. In London, James Wilcock Bloomberg. 55 00:03:12,560 --> 00:03:16,400 Speaker 1: Radio Goldman Sachs top lawyer, is leaving the firm following 56 00:03:16,440 --> 00:03:19,240 Speaker 1: the release of documents highlighting her links to sex offender. 57 00:03:19,320 --> 00:03:23,120 Speaker 1: Jeffrey Epstein, CEO David Solomon announced that Kathy Romner will 58 00:03:23,160 --> 00:03:25,400 Speaker 1: step down at the end of June, adding that he 59 00:03:25,480 --> 00:03:28,519 Speaker 1: respects her decision to resign and that she would be missed. 60 00:03:28,680 --> 00:03:31,600 Speaker 1: Bloombrook's finance reporter Harry Wilson says the revelations from the 61 00:03:31,600 --> 00:03:33,600 Speaker 1: Epstein files are likely to keep coming. 62 00:03:34,200 --> 00:03:37,880 Speaker 6: What we're seeing is a whole host of people around 63 00:03:37,880 --> 00:03:41,600 Speaker 6: the world, often very wealthy, very influential people, being caught 64 00:03:41,680 --> 00:03:45,520 Speaker 6: up in this, I guess ever growing scandal, which is 65 00:03:45,560 --> 00:03:49,880 Speaker 6: that they in some way have either had linked connections, 66 00:03:49,960 --> 00:03:54,200 Speaker 6: were close friends associates of Jeffrey Epstein, and those relationships 67 00:03:54,240 --> 00:03:58,120 Speaker 6: now are getting exposed in a very public and a 68 00:03:58,240 --> 00:04:01,120 Speaker 6: very damaging way for them. 69 00:04:01,600 --> 00:04:04,400 Speaker 1: Our port Harry Wilson, referring there to others mentioned in 70 00:04:04,440 --> 00:04:07,720 Speaker 1: the documents, including former US Treasury Secretary Larry Summers and 71 00:04:07,760 --> 00:04:11,480 Speaker 1: attorney Brad Karp. The bank said that Rumler disclosed to 72 00:04:11,560 --> 00:04:14,280 Speaker 1: its leadership at the time that she had previously dealt 73 00:04:14,280 --> 00:04:17,080 Speaker 1: with Epstein, who had offered to use his network to 74 00:04:17,120 --> 00:04:20,159 Speaker 1: help her build her private practice. In a statement, Romner 75 00:04:20,200 --> 00:04:23,880 Speaker 1: said her responsibility is to put Goldman Sachs interests first. 76 00:04:25,120 --> 00:04:29,400 Speaker 2: Hungary's opposition leader Peter Maya has said that he was 77 00:04:29,480 --> 00:04:32,719 Speaker 2: secretly take having sex and has accused the government of 78 00:04:32,800 --> 00:04:37,479 Speaker 2: trying to blackmail him ahead of key elections. Maya's Teaser 79 00:04:37,560 --> 00:04:40,920 Speaker 2: party has a wide lead in polls over the incumbent 80 00:04:41,000 --> 00:04:43,880 Speaker 2: Victor Alban who has been in power for sixteen years. 81 00:04:43,920 --> 00:04:46,320 Speaker 3: After rumors of the sex tape appeared. 82 00:04:46,040 --> 00:04:49,200 Speaker 2: In Hungarian media, the opposition leader said that he was 83 00:04:49,240 --> 00:04:50,520 Speaker 2: the victim of blackmail. 84 00:04:52,760 --> 00:04:55,880 Speaker 7: I was on as you so so shall you reap? 85 00:04:56,560 --> 00:04:59,240 Speaker 7: You will not be able to intimidate or blackmail me. 86 00:05:00,040 --> 00:05:03,520 Speaker 7: Russian secret service help and a flood of fake videos 87 00:05:03,680 --> 00:05:07,320 Speaker 7: will not be enough. Destroying my family will not be 88 00:05:07,480 --> 00:05:11,920 Speaker 7: enough either. The vast majority of Hungarian people see through 89 00:05:12,000 --> 00:05:14,680 Speaker 7: the Aorbang government's lies and in humanity. 90 00:05:15,760 --> 00:05:19,960 Speaker 2: Peter Mayav speaking Varra translator in an online video address 91 00:05:20,080 --> 00:05:24,719 Speaker 2: that the politicians subtitled into English. A spokesman for ubanns 92 00:05:24,720 --> 00:05:28,040 Speaker 2: FIDE's party said in a Facebook post that Maya's comments 93 00:05:28,120 --> 00:05:31,920 Speaker 2: implied the politician had been misleading the public. The alleged 94 00:05:32,120 --> 00:05:34,760 Speaker 2: sex tape is the latest scandal in the country's dirtiest 95 00:05:34,760 --> 00:05:39,400 Speaker 2: selection campaign to date. Ahead of a vote in April, the. 96 00:05:39,440 --> 00:05:42,440 Speaker 1: UK's Defense Secretary John Healey says allies have pleased as 97 00:05:42,480 --> 00:05:45,279 Speaker 1: much as thirty five billion dollars in new military aid 98 00:05:45,320 --> 00:05:48,320 Speaker 1: for Ukraine. He says Western countries have never been more 99 00:05:48,480 --> 00:05:49,960 Speaker 1: determined to end the war. 100 00:05:51,000 --> 00:05:54,440 Speaker 8: We will step up military assistance to Ukraine, we will 101 00:05:54,440 --> 00:05:57,640 Speaker 8: step up pressure on Russia, and we want to make 102 00:05:57,920 --> 00:06:02,520 Speaker 8: twenty twenty six the year this war ends, the year 103 00:06:02,760 --> 00:06:03,680 Speaker 8: we secure peace. 104 00:06:04,720 --> 00:06:07,320 Speaker 1: Heally and other European defense ministers are rushing to shore 105 00:06:07,400 --> 00:06:10,680 Speaker 1: up the war battered country as Moscow's full scale invasion 106 00:06:10,680 --> 00:06:14,600 Speaker 1: approaches its four year mark. Washington has effectively ended its 107 00:06:14,600 --> 00:06:18,159 Speaker 1: financial aid to Ukraine since President Trump returned to OFFUS 108 00:06:18,480 --> 00:06:21,200 Speaker 1: with peace talks stalled. Months of Russian air strikes have 109 00:06:21,279 --> 00:06:24,840 Speaker 1: left millions of Ukrainians to endure winter without steady light 110 00:06:25,160 --> 00:06:26,240 Speaker 1: or heat. 111 00:06:27,040 --> 00:06:30,719 Speaker 2: And now to a people and Pay story, Jane Fraser 112 00:06:30,760 --> 00:06:34,159 Speaker 2: now sits among the highest paid banking executives in the 113 00:06:34,320 --> 00:06:37,760 Speaker 2: US on Wall Street Stephen that's after Citygroup boosted her 114 00:06:37,760 --> 00:06:39,520 Speaker 2: pay by twenty two percent. 115 00:06:39,720 --> 00:06:44,080 Speaker 3: Bloomberg's Adebayo has more forty two million dollars. 116 00:06:44,360 --> 00:06:47,279 Speaker 9: That's how much City Group CEO Jane Fraser is set 117 00:06:47,320 --> 00:06:50,159 Speaker 9: to take home in her twenty twenty five package. The 118 00:06:50,279 --> 00:06:53,760 Speaker 9: upgraded total follows a sixty six percent surge in stock, 119 00:06:54,160 --> 00:06:57,080 Speaker 9: more than any other Wall Street bank, and puts her 120 00:06:57,080 --> 00:07:01,200 Speaker 9: total compensation just one million dollars behind JP Morgan, Magnate, 121 00:07:01,320 --> 00:07:04,679 Speaker 9: Jamie Diamond. Included in the bump is a one point 122 00:07:04,720 --> 00:07:07,800 Speaker 9: five million dollar base six point one million dollars of 123 00:07:07,920 --> 00:07:11,720 Speaker 9: cash incentive, and the rest in stock awards. Phraser's increase 124 00:07:11,800 --> 00:07:14,200 Speaker 9: is yet another sign of confidence from the board in 125 00:07:14,240 --> 00:07:17,040 Speaker 9: her leadership as she attempts to turn the bank around 126 00:07:17,120 --> 00:07:20,600 Speaker 9: after years of lagging its peers. The move comes after 127 00:07:20,680 --> 00:07:25,080 Speaker 9: salary upchecks across Wall Street as firms including Goldman Sachs, 128 00:07:25,120 --> 00:07:28,960 Speaker 9: Morgan Stanley, and JP Morgan op to Boo CEO Rewards 129 00:07:29,400 --> 00:07:31,880 Speaker 9: in London to added Bay Bloomberg Radio. 130 00:07:32,680 --> 00:07:34,760 Speaker 2: And those are our top stories for you this morning. 131 00:07:34,760 --> 00:07:37,760 Speaker 2: In terms of the markets, Asian stocks are lower and 132 00:07:37,840 --> 00:07:40,000 Speaker 2: the sell off is deepening after we also saw an 133 00:07:40,000 --> 00:07:42,800 Speaker 2: ai field sell off in the US yesterday. You got 134 00:07:42,840 --> 00:07:45,800 Speaker 2: the hang Saying Index down two percent this morning. Ten 135 00:07:45,840 --> 00:07:49,600 Speaker 2: year treasury yields saw six basis points a move lower 136 00:07:49,760 --> 00:07:54,080 Speaker 2: yesterday because of sort of a haven driven surge. This morning, 137 00:07:54,120 --> 00:07:56,280 Speaker 2: we traded at four eleven, so up about a basis 138 00:07:56,280 --> 00:07:59,240 Speaker 2: point right now, your pinstop futures clinging onto the green, 139 00:07:59,360 --> 00:08:01,840 Speaker 2: not so for the we're in the red there and 140 00:08:02,160 --> 00:08:05,720 Speaker 2: gold and bitcoin this morning are both nodging high Goalsop 141 00:08:05,800 --> 00:08:06,720 Speaker 2: seven tenths Stephen. 142 00:08:07,640 --> 00:08:09,720 Speaker 1: In a moment, we'll bring you more on the winners 143 00:08:09,720 --> 00:08:12,640 Speaker 1: and losers in the latest AI disruptions sell off, plus 144 00:08:12,640 --> 00:08:16,560 Speaker 1: how four years of war in Ukraine has changed Europe. 145 00:08:17,160 --> 00:08:20,000 Speaker 1: But another story that we've been reading this morning, humans 146 00:08:20,120 --> 00:08:23,200 Speaker 1: coming to the rescue of technology, flipping the narrative on 147 00:08:23,240 --> 00:08:25,440 Speaker 1: its head that perhaps we've talked about more recently. This 148 00:08:25,480 --> 00:08:27,800 Speaker 1: is the self driving car start of a Weimo finding 149 00:08:27,840 --> 00:08:31,040 Speaker 1: a solution to one of tech's newest problems. What happens 150 00:08:31,080 --> 00:08:34,679 Speaker 1: if someone leaves the door of a robotaxi open, preventing 151 00:08:34,720 --> 00:08:38,480 Speaker 1: it from leaving. Wenol has a solution, get a nearby 152 00:08:38,520 --> 00:08:42,040 Speaker 1: delivery driver to close the door. A driver in Atlanta 153 00:08:42,160 --> 00:08:45,080 Speaker 1: recently received a door dash offer, paying eleven dollars and 154 00:08:45,080 --> 00:08:48,839 Speaker 1: twenty five cents to close an open Weimo vehicle door. 155 00:08:48,960 --> 00:08:51,320 Speaker 1: They posted about it on Reddit. The two companies have 156 00:08:51,400 --> 00:08:54,079 Speaker 1: confirmed this is a new partnership that didn't say who's 157 00:08:54,120 --> 00:08:57,480 Speaker 1: paying exactly, rather whether it's Weimo that's paying these drivers 158 00:08:57,920 --> 00:09:00,640 Speaker 1: to do it might only be a temporary though. Waymos 159 00:09:00,679 --> 00:09:04,920 Speaker 1: says that its future vehicle platforms will have automated door closures, 160 00:09:04,920 --> 00:09:06,200 Speaker 1: which sounds even more terrifying. 161 00:09:06,559 --> 00:09:10,760 Speaker 2: Yeah, that's a bonker's story, isn't it. Weimo autonomous vehicles 162 00:09:10,760 --> 00:09:11,640 Speaker 2: they're coming to London. 163 00:09:11,679 --> 00:09:12,200 Speaker 3: Of course. 164 00:09:13,040 --> 00:09:16,520 Speaker 2: I'm also interested at how quickly the number of autonomous 165 00:09:16,600 --> 00:09:21,440 Speaker 2: rivalists cars is actually going up. Benef talking about robotaxis 166 00:09:21,760 --> 00:09:24,880 Speaker 2: going from eight thousand to eighteen thousand this year. So 167 00:09:24,960 --> 00:09:27,160 Speaker 2: you know, maybe it's a problem we'll run into a 168 00:09:27,200 --> 00:09:29,720 Speaker 2: bit more often. Yeah, I need somebody to shut the 169 00:09:29,760 --> 00:09:32,199 Speaker 2: door after me. Thank you very much to. 170 00:09:32,200 --> 00:09:34,640 Speaker 1: Sort of service you like to become accustomed to, I think, 171 00:09:34,679 --> 00:09:38,360 Speaker 1: Caroline well, from humans helping out technology to the acts 172 00:09:38,440 --> 00:09:42,040 Speaker 1: that some technology is causing human Investors fears of AI 173 00:09:42,120 --> 00:09:45,640 Speaker 1: disruption and sectors from commercial property to logistics, sparking another 174 00:09:45,760 --> 00:09:48,360 Speaker 1: sell off on Wall Street, but their losses may be 175 00:09:48,559 --> 00:09:52,000 Speaker 1: asias gain, where chip makers are benefiting from the increased 176 00:09:52,080 --> 00:09:54,719 Speaker 1: use of AI. Our executive edger for Asian markets, Paul 177 00:09:54,760 --> 00:09:58,240 Speaker 1: Dobs and joins us now for more. Firstly, Paul, this 178 00:09:58,280 --> 00:10:00,959 Speaker 1: is an improbable sentence, but perhaps you can explain how 179 00:10:00,960 --> 00:10:04,640 Speaker 1: a former karaoke company turned to AI and have now 180 00:10:04,720 --> 00:10:06,760 Speaker 1: caused this massive sell off on markets. 181 00:10:06,760 --> 00:10:09,120 Speaker 3: I don't think it's got anything to do with closing doors. 182 00:10:10,640 --> 00:10:13,320 Speaker 10: Morning Stephen, though, but the robots are coming for all 183 00:10:13,360 --> 00:10:16,280 Speaker 10: of our jobs, sooner or later, it would seem. I 184 00:10:16,400 --> 00:10:20,520 Speaker 10: don't entirely know how this story all fits together, but 185 00:10:20,679 --> 00:10:25,400 Speaker 10: the company that used to be focused on karaoke at 186 00:10:25,400 --> 00:10:27,720 Speaker 10: some point in the last couple of years changed and 187 00:10:27,760 --> 00:10:30,880 Speaker 10: decided to go all in on freight logistics instead. I 188 00:10:30,920 --> 00:10:35,440 Speaker 10: realized that it had AI tools that would make that 189 00:10:35,600 --> 00:10:40,920 Speaker 10: process a lot smoother and easily scalable relative to some 190 00:10:41,000 --> 00:10:44,320 Speaker 10: of the existing companies that are doing similar things out there. 191 00:10:44,760 --> 00:10:47,160 Speaker 10: And you know, the market is in such a fragile 192 00:10:47,240 --> 00:10:49,320 Speaker 10: sort of state of mind at the moment, given the 193 00:10:49,320 --> 00:10:52,920 Speaker 10: other sell offs we've seen in various industries where it's 194 00:10:52,920 --> 00:10:57,120 Speaker 10: looked like AI could do those high labor intensive, high 195 00:10:57,160 --> 00:11:00,320 Speaker 10: cost jobs at a fraction of the cost. You know, 196 00:11:00,880 --> 00:11:03,840 Speaker 10: each different sector in turn is facing a little bit 197 00:11:03,880 --> 00:11:07,120 Speaker 10: of a come upance where people are realizing, well, this 198 00:11:07,200 --> 00:11:09,360 Speaker 10: is another thing that maybe AI can do, and so 199 00:11:09,520 --> 00:11:13,360 Speaker 10: maybe the companies that are doing it don't deserve the 200 00:11:13,440 --> 00:11:16,400 Speaker 10: valuations they've currently got. So I think that this one 201 00:11:17,000 --> 00:11:18,320 Speaker 10: if you look at some of the comments that we 202 00:11:18,360 --> 00:11:21,400 Speaker 10: have in the story, which are quite good. Even the 203 00:11:21,440 --> 00:11:23,640 Speaker 10: CEO of the company can't believe it. He's talking about 204 00:11:23,640 --> 00:11:27,200 Speaker 10: a David and Goliath moment, him being the David very much. 205 00:11:27,320 --> 00:11:29,520 Speaker 10: But some of the other commentary is more along the 206 00:11:29,559 --> 00:11:31,640 Speaker 10: lines of don't know if this is actually going to 207 00:11:31,679 --> 00:11:35,760 Speaker 10: be the company or the thing that blows up entire industries, 208 00:11:35,880 --> 00:11:38,640 Speaker 10: but you know, the signaling or the message or the 209 00:11:38,679 --> 00:11:42,040 Speaker 10: direction of travel is clear that more companies are going 210 00:11:42,120 --> 00:11:44,400 Speaker 10: to have their business models questions. Is the power of 211 00:11:44,480 --> 00:11:47,359 Speaker 10: AI is tapped and exploited? 212 00:11:48,320 --> 00:11:50,000 Speaker 3: Yeah, isn't that interesting. 213 00:11:50,040 --> 00:11:53,120 Speaker 2: Everyone's trying to pick this story apart and understand it. 214 00:11:53,160 --> 00:11:53,960 Speaker 3: For starters. 215 00:11:54,679 --> 00:11:58,560 Speaker 2: There are winners though, and topics, massive new funding round 216 00:11:58,880 --> 00:12:01,920 Speaker 2: shows that doesn't it come Copanies providing infrastructure for AI 217 00:12:02,600 --> 00:12:05,880 Speaker 2: are doing well, and actually a lot of them are 218 00:12:06,000 --> 00:12:06,600 Speaker 2: in Asia. 219 00:12:07,240 --> 00:12:09,480 Speaker 10: Yeah, that's right, Caroline. So I've been banging on about 220 00:12:09,480 --> 00:12:12,360 Speaker 10: this a few times on your shows recently, just the 221 00:12:12,480 --> 00:12:16,559 Speaker 10: outperformance that we've seen in the Asian market relative to 222 00:12:16,600 --> 00:12:18,960 Speaker 10: the US in particular. So the S and P turned 223 00:12:19,240 --> 00:12:23,839 Speaker 10: negative here to date, yesterday, the Asian equivalent is up, 224 00:12:23,880 --> 00:12:26,920 Speaker 10: you know, more than ten percent even with today's setback. 225 00:12:27,160 --> 00:12:29,920 Speaker 10: And the thing is it's about whereabouts your position within 226 00:12:30,000 --> 00:12:32,440 Speaker 10: the sort of AI value chain. And as you were saying, 227 00:12:32,480 --> 00:12:34,440 Speaker 10: a lot of the companies that are making the equipment, 228 00:12:34,480 --> 00:12:39,240 Speaker 10: the chips, the hardware that goes into the AI companies 229 00:12:39,440 --> 00:12:41,679 Speaker 10: that are then you know, like anthropic building out their 230 00:12:41,760 --> 00:12:44,480 Speaker 10: data centers and scaling up in order to do the 231 00:12:44,520 --> 00:12:47,440 Speaker 10: things that threaten those businesses, like the karaoke companies doing 232 00:12:48,920 --> 00:12:50,320 Speaker 10: a lot of them are based in Asia, right, and 233 00:12:50,360 --> 00:12:52,080 Speaker 10: we know about that when we know about how strong 234 00:12:52,120 --> 00:12:55,840 Speaker 10: and dominant they are in South Korea, Samsung and ske Heinis, 235 00:12:56,080 --> 00:12:58,440 Speaker 10: you know, like narly half the market in Taiwan, t 236 00:12:58,600 --> 00:13:01,920 Speaker 10: smcs absolutely dominant as well, and they're so they're a big, 237 00:13:02,000 --> 00:13:07,720 Speaker 10: powerful sort of holding within the broader Asia index. And 238 00:13:07,760 --> 00:13:10,280 Speaker 10: so that's allowing for that sharp out performance that we're 239 00:13:10,920 --> 00:13:13,079 Speaker 10: seeing and a lot of well it doesn't even take 240 00:13:13,080 --> 00:13:14,679 Speaker 10: a lot of cash, but some cash flowing out of 241 00:13:14,720 --> 00:13:17,960 Speaker 10: the US market into the rest of the world is 242 00:13:18,000 --> 00:13:21,680 Speaker 10: certainly seeing out performance relative to what's going on with 243 00:13:21,679 --> 00:13:22,640 Speaker 10: the S and P at the moment. 244 00:13:23,240 --> 00:13:26,000 Speaker 1: But thinking about where the story goes from here, Paul, 245 00:13:26,240 --> 00:13:28,920 Speaker 1: I mean, our investor is getting any more use to 246 00:13:28,920 --> 00:13:32,000 Speaker 1: what one strash has described as these AI land mines. 247 00:13:34,160 --> 00:13:37,640 Speaker 10: I'm not sure that we know exactly how to deal 248 00:13:37,679 --> 00:13:40,080 Speaker 10: with it yet, Stephen, is the is the honest answer. 249 00:13:40,160 --> 00:13:42,120 Speaker 10: I think that what we did see with some of 250 00:13:42,120 --> 00:13:46,280 Speaker 10: the companies, like the financial services ones that got that 251 00:13:46,400 --> 00:13:48,880 Speaker 10: had a big sell off maybe a week or ten 252 00:13:48,960 --> 00:13:52,320 Speaker 10: days ago, bounce back pretty quickly as well. So it's 253 00:13:52,360 --> 00:13:54,480 Speaker 10: more like the knee jerk is oh gosh, I don't 254 00:13:54,480 --> 00:13:57,200 Speaker 10: really just don't know how severe this is. And then 255 00:13:57,240 --> 00:13:59,920 Speaker 10: when you get to evaluation level the people prefer it, 256 00:14:00,000 --> 00:14:01,800 Speaker 10: it does seem to be that the market kind of 257 00:14:01,960 --> 00:14:06,800 Speaker 10: finds a way to adjust to that pretty quickly. But 258 00:14:06,920 --> 00:14:09,439 Speaker 10: I do think, yeah, like you said, that, we're getting 259 00:14:09,440 --> 00:14:11,640 Speaker 10: to this point where there's going to be more of 260 00:14:11,679 --> 00:14:14,480 Speaker 10: those kinds of things. I think the other thing to 261 00:14:14,480 --> 00:14:17,360 Speaker 10: note is, you know that funding round that you were 262 00:14:17,400 --> 00:14:23,160 Speaker 10: talking about for Anthropic shows the humongous demand from everybody 263 00:14:23,360 --> 00:14:25,880 Speaker 10: to try to get into these not yet listed companies 264 00:14:25,920 --> 00:14:29,280 Speaker 10: and the huge valuations that they're able to demand before 265 00:14:29,280 --> 00:14:32,080 Speaker 10: going to market because of the opportunities that they offer. 266 00:14:33,320 --> 00:14:35,560 Speaker 2: Okay, Paul, Thank you so much for being with us 267 00:14:35,560 --> 00:14:38,960 Speaker 2: this morning. That is Paul Dobson, our executive editor for 268 00:14:39,160 --> 00:14:44,720 Speaker 2: HIA Markets. Thanks stay with us. More from Bloomberg daybaqube 269 00:14:44,760 --> 00:14:45,720 Speaker 2: coming up after this. 270 00:14:47,680 --> 00:14:50,080 Speaker 1: It's been almost four years since Russia began its full 271 00:14:50,080 --> 00:14:53,920 Speaker 1: scale invasion of Ukraine. The war has devastated Ukrainian cities, 272 00:14:54,000 --> 00:14:56,720 Speaker 1: claimed hundreds of thousands of lives, and forced more than 273 00:14:56,760 --> 00:15:00,160 Speaker 1: ten million people to flee their homes. The effects the 274 00:15:00,160 --> 00:15:02,720 Speaker 1: conflict have been felt across Europe, and our reporters have 275 00:15:02,760 --> 00:15:05,920 Speaker 1: been looking at the economic, political, and security fallout as 276 00:15:05,960 --> 00:15:09,240 Speaker 1: leaders gather for the Munich Security Conference. Our senior editor 277 00:15:09,280 --> 00:15:12,000 Speaker 1: Alan Crawford joins us now from Munich for more. Alan, 278 00:15:12,040 --> 00:15:15,680 Speaker 1: good morning. This war has changed so much in Europe. 279 00:15:16,120 --> 00:15:19,120 Speaker 1: Billions are being poured into defense for the first time 280 00:15:19,240 --> 00:15:22,920 Speaker 1: in decades. What's been the scale of that, Mark, Stephen. 281 00:15:23,040 --> 00:15:26,320 Speaker 11: I mean, we tend to think in terms of that 282 00:15:26,480 --> 00:15:30,280 Speaker 11: Europe's not doing enough and individual countries are not pitching off, 283 00:15:30,320 --> 00:15:33,920 Speaker 11: and in terms of help for Ukraine or even spending enough. 284 00:15:34,000 --> 00:15:36,360 Speaker 11: But it's worth looking at how far we have actually 285 00:15:36,400 --> 00:15:42,640 Speaker 11: come that. Remember before the fuel scale invasion for years back, 286 00:15:42,680 --> 00:15:46,960 Speaker 11: twenty twenty two, then many countries in Europe were spending 287 00:15:47,000 --> 00:15:50,760 Speaker 11: way below the two percent threshold of GDP on defense, 288 00:15:50,960 --> 00:15:56,000 Speaker 11: and now after pressure from Donald Trump, they're committed to 289 00:15:56,040 --> 00:15:59,000 Speaker 11: spending five percent. And I mean I remember, for example, 290 00:15:59,040 --> 00:16:02,160 Speaker 11: one of the stars in Germany of the defense and 291 00:16:02,640 --> 00:16:06,440 Speaker 11: rhine metal that they used to essentially keep their head 292 00:16:06,520 --> 00:16:10,680 Speaker 11: down and try not to publicize themselves because the you know, 293 00:16:10,880 --> 00:16:14,560 Speaker 11: armaments were unpopular. I remember even when I first looked 294 00:16:14,600 --> 00:16:17,240 Speaker 11: at them, then they were promoting things like the fact 295 00:16:17,280 --> 00:16:19,200 Speaker 11: that they had bees on the roof and they were 296 00:16:19,200 --> 00:16:24,320 Speaker 11: selling their own honey. And now of course they're they're 297 00:16:24,720 --> 00:16:26,920 Speaker 11: one of the stars. The stock is up like sixteen 298 00:16:27,280 --> 00:16:32,440 Speaker 11: hundred percent since then. It's worth saying Ukraine is producing 299 00:16:32,600 --> 00:16:35,080 Speaker 11: vast amounts of its own weaponry. And of course the 300 00:16:35,720 --> 00:16:41,040 Speaker 11: nature of warfare has been completely revolutionized with these kill 301 00:16:41,200 --> 00:16:44,800 Speaker 11: zones at the front, with drones. I myself witnessed in Kiev, 302 00:16:46,600 --> 00:16:51,280 Speaker 11: these remotely operated tracked vehicles which now service troops at 303 00:16:51,280 --> 00:16:54,720 Speaker 11: the front. So I mean, it's everything has been turned 304 00:16:54,760 --> 00:16:55,320 Speaker 11: on its head. 305 00:16:55,680 --> 00:16:59,320 Speaker 2: I remember last ye, so speaking to a defense industry 306 00:16:59,320 --> 00:17:03,120 Speaker 2: companies Alan concerned about getting access to talent, you know, 307 00:17:03,200 --> 00:17:06,520 Speaker 2: to feed that pipeline. So it is dramatic the change. 308 00:17:06,880 --> 00:17:10,280 Speaker 2: But also, you know, when we're thinking very big picture, 309 00:17:10,480 --> 00:17:15,800 Speaker 2: Europe's energy mix is also radically changed, and that's because 310 00:17:15,880 --> 00:17:19,440 Speaker 2: Russian supplies are being phased out. So there are also 311 00:17:19,680 --> 00:17:21,320 Speaker 2: huge consequences from that. 312 00:17:21,440 --> 00:17:24,640 Speaker 11: Surely, absolutely, and this is again an area of where 313 00:17:26,480 --> 00:17:32,439 Speaker 11: industry is crying out for help because of the rise 314 00:17:32,560 --> 00:17:35,640 Speaker 11: and the price of energy that Europe's not taking lots 315 00:17:35,680 --> 00:17:40,000 Speaker 11: of LNG from the US, for example. But again it's 316 00:17:40,760 --> 00:17:43,960 Speaker 11: I think we should at times stop and look back 317 00:17:44,080 --> 00:17:48,480 Speaker 11: and realize that Europe was actually facing a real energy 318 00:17:48,520 --> 00:17:52,280 Speaker 11: crisis when it took this difficult decision to cut off supplies. 319 00:17:52,280 --> 00:17:55,119 Speaker 11: You can debate the you know how we got there, 320 00:17:55,480 --> 00:18:00,560 Speaker 11: but nevertheless, the cutoff supplies of fossil fuels and largely 321 00:18:00,640 --> 00:18:04,560 Speaker 11: and countries like Germany in Europ's biggest economy, of course, 322 00:18:04,600 --> 00:18:08,800 Speaker 11: cut off gas supplies entirely. And we use this example 323 00:18:08,800 --> 00:18:12,560 Speaker 11: of this one company as kV P Studity, which is 324 00:18:12,600 --> 00:18:14,760 Speaker 11: in the former east of Germany on the River Elba, 325 00:18:14,880 --> 00:18:18,240 Speaker 11: and they suffered, they immediately, they were profitable and suffered 326 00:18:18,240 --> 00:18:21,639 Speaker 11: three years in the red. And now excuse me that 327 00:18:21,800 --> 00:18:24,320 Speaker 11: the chief executive is still seeing that it's a matter 328 00:18:24,400 --> 00:18:28,200 Speaker 11: of the survival for the entire chemical industry in Europe. 329 00:18:28,600 --> 00:18:32,320 Speaker 1: There are also broader questions being asked about European security, 330 00:18:32,320 --> 00:18:34,960 Speaker 1: of course, highlighted where you are in that highly critical 331 00:18:35,040 --> 00:18:37,280 Speaker 1: speech by the US Vice President at Evans at the 332 00:18:37,359 --> 00:18:41,000 Speaker 1: Munich Cause Security Conference last year. A new EU survey 333 00:18:41,080 --> 00:18:43,240 Speaker 1: out this morning shows that more than two thirds of 334 00:18:43,280 --> 00:18:47,320 Speaker 1: Europeans believe that their country is under threat. How has 335 00:18:47,480 --> 00:18:52,760 Speaker 1: the political conversation around European security changed during this war. 336 00:18:53,240 --> 00:18:56,960 Speaker 11: It's hard to underestimate the change that it's just it's 337 00:18:57,200 --> 00:19:02,919 Speaker 11: it's massive. You've got leaders like Fredrich Mertz, the Chancellor 338 00:19:02,960 --> 00:19:05,720 Speaker 11: of Germany, who is from West Germany, grew up in 339 00:19:05,800 --> 00:19:10,560 Speaker 11: the under the US security umbrella, and he's now questioning 340 00:19:12,119 --> 00:19:15,080 Speaker 11: the future of transatlantic relations. I think that will be 341 00:19:15,119 --> 00:19:18,240 Speaker 11: a theme from later today, incidentally in his speech opening 342 00:19:18,320 --> 00:19:21,760 Speaker 11: the conference. But you, of course, we just had this 343 00:19:21,880 --> 00:19:26,520 Speaker 11: Greenland saga where Donald Trump was claiming that the US 344 00:19:26,560 --> 00:19:31,520 Speaker 11: should control Greenland, which is sovereign Danish territory. We had 345 00:19:31,560 --> 00:19:35,840 Speaker 11: the National Security Strategy from the US just before Christmas 346 00:19:35,840 --> 00:19:41,080 Speaker 11: there which it was being very clear and open about 347 00:19:41,160 --> 00:19:46,000 Speaker 11: the desire the administration's desire to promote right wing, anti immigration, 348 00:19:47,160 --> 00:19:53,399 Speaker 11: anti EU, anti climate action forces in Europe against the 349 00:19:53,840 --> 00:19:58,680 Speaker 11: over the established governments. We had tariffs of course globally, 350 00:19:58,840 --> 00:20:01,800 Speaker 11: but it's worth saying it's not just about the US. 351 00:20:02,880 --> 00:20:07,080 Speaker 11: Because of China support for Vladimir Putine or at least 352 00:20:07,240 --> 00:20:12,280 Speaker 11: refusal to join in the sanctions against Russia, then you've 353 00:20:12,320 --> 00:20:17,639 Speaker 11: seen Europe at once being skeptical and weary of China relations, 354 00:20:17,760 --> 00:20:20,680 Speaker 11: on the other hand being thrown into bed with Beijing. 355 00:20:21,000 --> 00:20:25,160 Speaker 11: I mean with Q Stormer there, with Macron there, Carney 356 00:20:25,240 --> 00:20:29,800 Speaker 11: from Canada, Sanchez, I believe of Spain is going eminently 357 00:20:30,000 --> 00:20:36,240 Speaker 11: and it's it's a very difficult balancing at that Europe 358 00:20:36,240 --> 00:20:37,560 Speaker 11: is suddenly finding itself in. 359 00:20:38,560 --> 00:20:41,280 Speaker 1: This is Bloomberg Daybreak Europe, your morning brief on the 360 00:20:41,359 --> 00:20:44,400 Speaker 1: stories making news from London to Wall Streets and beyond. 361 00:20:44,720 --> 00:20:47,919 Speaker 2: Look for us on your podcast feed every morning, on Apple, 362 00:20:48,040 --> 00:20:50,840 Speaker 2: Spotify and anywhere else you get your podcasts. 363 00:20:50,880 --> 00:20:53,960 Speaker 1: You can also listen live each morning on London Dab Radio, 364 00:20:54,000 --> 00:20:56,560 Speaker 1: the Bloomberg Business app, and Bloomberg dot Com. 365 00:20:56,720 --> 00:20:59,479 Speaker 2: Our flagship New York station, is also available on your 366 00:20:59,520 --> 00:21:04,240 Speaker 2: Amazon Alexa devices. Just say Alexa play Bloomberg eleven thirty. 367 00:21:04,480 --> 00:21:05,880 Speaker 3: I'm Caroline Hepka. 368 00:21:05,640 --> 00:21:08,080 Speaker 1: And I'm Stephen. Carol join us again tomorrow morning for 369 00:21:08,200 --> 00:21:10,560 Speaker 1: all the news you need to start your day right 370 00:21:10,600 --> 00:21:15,760 Speaker 1: here on Bloomberg Daybreak. Europe