1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,720 --> 00:00:12,680 Speaker 2: This is the Bloomberg Day BAQ podcast. Good morning, It's Thursday, 3 00:00:12,680 --> 00:00:15,520 Speaker 2: the fifth of February. I'm Caroline Hepca in London and. 4 00:00:15,480 --> 00:00:19,120 Speaker 1: I'm Stephen Carolin Brussels. Coming up today. Growing fears over 5 00:00:19,200 --> 00:00:22,759 Speaker 1: how AI could up end business models rip through global 6 00:00:22,800 --> 00:00:25,959 Speaker 1: markets for a third day in a trillion dollar tech 7 00:00:26,000 --> 00:00:26,319 Speaker 1: sell off. 8 00:00:27,120 --> 00:00:30,120 Speaker 2: UK Prime Minister Kiss Starmer is forced to climb down 9 00:00:30,200 --> 00:00:34,360 Speaker 2: and release documents relating to his appointment of Peter Mandelsson 10 00:00:34,440 --> 00:00:35,720 Speaker 2: as US ambassador. 11 00:00:36,040 --> 00:00:39,199 Speaker 1: Plus how a group of puzzle loving mathletes in Prague 12 00:00:39,520 --> 00:00:43,440 Speaker 1: are using sci fi inspired trading to dominate Europe's most 13 00:00:43,520 --> 00:00:44,800 Speaker 1: volatile power market. 14 00:00:45,400 --> 00:00:47,400 Speaker 3: Let's start with the roundup of our top stories. 15 00:00:47,640 --> 00:00:51,760 Speaker 1: AI's potential to change business models large and small is 16 00:00:51,840 --> 00:00:55,280 Speaker 1: driving a trillion dollar sell off in stocks and bonds 17 00:00:55,280 --> 00:00:58,400 Speaker 1: and loans of companies. The route was first sparked by 18 00:00:58,440 --> 00:01:01,440 Speaker 1: Anthropics release of a new two for legal Work earlier 19 00:01:01,480 --> 00:01:05,000 Speaker 1: this week. The move ignited fears across markets that AI 20 00:01:05,120 --> 00:01:10,039 Speaker 1: leaders will overtake established industry players and innovation sooner rather 21 00:01:10,080 --> 00:01:13,400 Speaker 1: than later, and in a confusing mix of market signals. 22 00:01:13,440 --> 00:01:16,360 Speaker 1: Even companies long seen as the prime beneficiaries of the 23 00:01:16,400 --> 00:01:20,080 Speaker 1: AI boom are showing signs of fatigue. In its latest 24 00:01:20,120 --> 00:01:24,319 Speaker 1: earnings report, Alphabet topped projections for quarterly revenue, but said 25 00:01:24,400 --> 00:01:28,640 Speaker 1: capital spending on AI will be significantly higher than anticipated. 26 00:01:29,080 --> 00:01:31,920 Speaker 1: CEOs under pitch I says the money will deliver a 27 00:01:32,000 --> 00:01:33,080 Speaker 1: returnal investment. 28 00:01:33,840 --> 00:01:37,800 Speaker 4: Revenue from AI solutions built by our partners increased nearly 29 00:01:37,880 --> 00:01:41,240 Speaker 4: three hundred percent year over year, and commitments from our 30 00:01:41,240 --> 00:01:44,720 Speaker 4: top fifteen software partners grew more than sixteen x year 31 00:01:44,760 --> 00:01:45,240 Speaker 4: over year. 32 00:01:46,720 --> 00:01:49,320 Speaker 1: Center Pitcheye, speaking there as the Google parents, said that 33 00:01:49,360 --> 00:01:52,160 Speaker 1: capital expenditure could come close to one hundred and eighty 34 00:01:52,200 --> 00:01:56,000 Speaker 1: five billion dollars this year, compared with just under one 35 00:01:56,080 --> 00:01:59,920 Speaker 1: hundred and twenty billion dollars that analysts had expected. I'll 36 00:02:00,000 --> 00:02:03,680 Speaker 1: Tabet shares fluctuated and extended trading following the report. 37 00:02:04,920 --> 00:02:07,640 Speaker 2: The price of silver has plunged by as much as 38 00:02:07,640 --> 00:02:11,840 Speaker 2: seventeen percent today after a two day recovery. Silver prize 39 00:02:11,840 --> 00:02:14,240 Speaker 2: has hit an all time high in late January of 40 00:02:14,280 --> 00:02:17,919 Speaker 2: more than one hundred and twenty dollars an ounce. Since then, though, 41 00:02:18,000 --> 00:02:20,480 Speaker 2: silver has lost more than a third of its value 42 00:02:20,520 --> 00:02:24,480 Speaker 2: and is trading at around seventy five dollars. The precious 43 00:02:24,480 --> 00:02:28,760 Speaker 2: metal rally last month was driven by speculative leveraged bets, 44 00:02:29,040 --> 00:02:35,119 Speaker 2: geopolitical upheaval and concerns over fed independence in the UK. 45 00:02:35,240 --> 00:02:38,600 Speaker 1: Kir Starmer's position is in doubt following the scrutiny of 46 00:02:38,639 --> 00:02:41,640 Speaker 1: the appointment of Peter Mandelsson as UK ambassador to the 47 00:02:41,760 --> 00:02:45,160 Speaker 1: US and his relationship with Jeffrey Epstein. The Prime Minister 48 00:02:45,200 --> 00:02:48,120 Speaker 1: is facing backlash from his own party members after he 49 00:02:48,160 --> 00:02:52,200 Speaker 1: struggled to answer questions from Opposition leader kemmy Badenoch about 50 00:02:52,240 --> 00:02:57,000 Speaker 1: his knowledge of Epstein and Mandelsson's relationship. Speaking in Parliament yesterday, 51 00:02:57,040 --> 00:03:00,960 Speaker 1: Starmer maintained he was not warned of the extent of wrongdoing. 52 00:03:02,280 --> 00:03:09,400 Speaker 5: Madlsson betrayed our country, our parliament and my party. Mister Speaker, 53 00:03:09,760 --> 00:03:13,720 Speaker 5: he lied repeatedly to my team when asked about his 54 00:03:13,840 --> 00:03:17,959 Speaker 5: relationship with Epstein before and during his tenure as ambassador. 55 00:03:18,800 --> 00:03:21,720 Speaker 1: K Starmer, speaking during Prime Minister's questions or he was 56 00:03:21,720 --> 00:03:24,600 Speaker 1: forced to acknowledge that the material used to vest Mandlsson 57 00:03:24,919 --> 00:03:29,360 Speaker 1: did contain details of Mandalsson's dealings with Epstein, Andp's voted 58 00:03:29,440 --> 00:03:33,359 Speaker 1: to release all documents related to Mandelson's appointment as an ambassador. 59 00:03:33,600 --> 00:03:38,800 Speaker 1: They'll be reviewed by the cross party Intelligence and Security Committee. 60 00:03:39,600 --> 00:03:42,960 Speaker 2: Now. The Bank of England is widely expected to leave 61 00:03:43,160 --> 00:03:46,200 Speaker 2: interest rates on whold today as it waits for more 62 00:03:46,240 --> 00:03:50,080 Speaker 2: evidence that inflation is under control. Bloomakes You and Potts 63 00:03:50,160 --> 00:03:51,040 Speaker 2: has a preview. 64 00:03:51,960 --> 00:03:54,880 Speaker 6: Just one of thirty two economists in Bloomberg survey expects 65 00:03:54,960 --> 00:03:57,960 Speaker 6: the rake cut today. The overwhelming consensus is that the 66 00:03:58,040 --> 00:04:01,400 Speaker 6: UK SPASE eight will remain unchained at three point seventy 67 00:04:01,400 --> 00:04:04,680 Speaker 6: five percent ahead of the twelve PM announcement. Rate setters 68 00:04:04,720 --> 00:04:08,120 Speaker 6: will be weighing the contradictory problems of above target inflation 69 00:04:08,360 --> 00:04:11,680 Speaker 6: and growing concerns about the labor market with unemployment now 70 00:04:11,760 --> 00:04:15,600 Speaker 6: above five percent. But on productivity there could finally be 71 00:04:15,720 --> 00:04:19,200 Speaker 6: some good news. Speaking to Bloomberg's scianists say that headline 72 00:04:19,200 --> 00:04:23,000 Speaker 6: productivity estimates may be masking a recent resurgence driven by 73 00:04:23,000 --> 00:04:27,400 Speaker 6: the adoption of artificial intelligence. One economists from UBS Wealth 74 00:04:27,440 --> 00:04:30,640 Speaker 6: Management saying the UK and global economy are likely in 75 00:04:30,720 --> 00:04:33,760 Speaker 6: better shape than the media would have us believe. In London, 76 00:04:33,800 --> 00:04:35,280 Speaker 6: I'm uing pots to Bloomberg Radio. 77 00:04:36,279 --> 00:04:38,840 Speaker 1: The European Central Bank is also likely to keep interest 78 00:04:38,920 --> 00:04:42,080 Speaker 1: rates on hold for a fifth consecutive meeting. That's despite 79 00:04:42,160 --> 00:04:46,880 Speaker 1: geopolitical tensions and a stronger euro. All economists surveyed by 80 00:04:46,880 --> 00:04:50,320 Speaker 1: Bloomberg expect the deposit rate to be kept at two 81 00:04:50,360 --> 00:04:54,440 Speaker 1: percent as today's meeting. Investors analyst cy rates staying there 82 00:04:54,520 --> 00:04:56,719 Speaker 1: until the end of next year, with the chances of 83 00:04:56,720 --> 00:04:59,040 Speaker 1: a hike in twenty twenty six receding. 84 00:05:00,000 --> 00:05:02,680 Speaker 2: I've got some breaking news this hour. BNP Pariba has 85 00:05:02,720 --> 00:05:07,560 Speaker 2: reported unexpectedly high fourth quarter profit and raised some midterm 86 00:05:07,680 --> 00:05:11,919 Speaker 2: financial targets. So the French lender achieved net income of 87 00:05:12,000 --> 00:05:15,039 Speaker 2: two point nine seven billion euros in the three months 88 00:05:15,120 --> 00:05:18,720 Speaker 2: through to December. The firms also raised its target for 89 00:05:18,880 --> 00:05:23,400 Speaker 2: profitability for twenty twenty eight. Meanwhile, the Spanish lender BBVA 90 00:05:23,560 --> 00:05:26,040 Speaker 2: has reported fourth quarter profits of just over two and 91 00:05:26,040 --> 00:05:29,560 Speaker 2: a half billion euros, broadly in line with estimers. Net 92 00:05:29,640 --> 00:05:33,120 Speaker 2: interests income came in at over seven billion euros, with 93 00:05:33,240 --> 00:05:38,719 Speaker 2: some two hundred million euros ahead of expectations. Bbva's shares 94 00:05:38,800 --> 00:05:41,000 Speaker 2: have doubled over the last twelve months. 95 00:05:41,720 --> 00:05:44,520 Speaker 1: The biggest US lenders are pushing the European Union to 96 00:05:44,560 --> 00:05:47,840 Speaker 1: loosen its cap on banker bonuses their lobby incomes. As 97 00:05:47,839 --> 00:05:50,640 Speaker 1: the EU considers a wider set of reforms to boost 98 00:05:50,720 --> 00:05:53,920 Speaker 1: competitiveness In books. Tam Adebayo has the story. 99 00:05:54,960 --> 00:05:58,200 Speaker 7: The EU is accelerating a planned review of its banking 100 00:05:58,320 --> 00:06:01,520 Speaker 7: rule book after pressure from the States and for the 101 00:06:01,560 --> 00:06:04,920 Speaker 7: sector's biggest names. There's one item that's top of the agenda. 102 00:06:05,400 --> 00:06:08,640 Speaker 7: The likes of Goldman, Sachs and JP Morgan are pushing 103 00:06:08,680 --> 00:06:11,840 Speaker 7: for a loosening of banker bonus rules, which currently cap 104 00:06:11,920 --> 00:06:15,599 Speaker 7: payments at twice fixed salaries. But whilst the Association for 105 00:06:15,680 --> 00:06:18,600 Speaker 7: Financial Markets in Europe has put the issue on its 106 00:06:18,680 --> 00:06:23,040 Speaker 7: wish list of reforms, there is some pushback. Bloomberg understands 107 00:06:23,080 --> 00:06:26,080 Speaker 7: that insiders feel the change could come at the expense 108 00:06:26,160 --> 00:06:30,440 Speaker 7: of other measures like simplifying capital structure and reducing daily 109 00:06:30,520 --> 00:06:35,160 Speaker 7: regulatory burdens. In London, Tea at Bayo, Bloomberg Radio. 110 00:06:35,640 --> 00:06:37,880 Speaker 2: And those are our top stories for you this morning. 111 00:06:38,120 --> 00:06:41,640 Speaker 2: Looking at the markets, the tech sell off continues in Asia. 112 00:06:41,680 --> 00:06:45,359 Speaker 2: The MASCI Asia Pacific indexes down by one point three percent. 113 00:06:45,760 --> 00:06:48,840 Speaker 2: Gold and silver continue to decline. Gold is down by 114 00:06:48,880 --> 00:06:51,599 Speaker 2: one point two percent this morning. You've also got copper 115 00:06:51,720 --> 00:06:55,120 Speaker 2: down today on the LME, Bitcoin falling to a ten 116 00:06:55,200 --> 00:06:59,239 Speaker 2: month low in Asia, trading. Looking at stock futures for Europe, 117 00:06:59,240 --> 00:07:01,920 Speaker 2: we're also expecting a lower open here. We're down by 118 00:07:01,920 --> 00:07:04,320 Speaker 2: two tens of one percent. The Blue Big Dollar spot 119 00:07:04,320 --> 00:07:07,640 Speaker 2: indexes slightly firmer. The pound and the euro are both 120 00:07:07,960 --> 00:07:11,200 Speaker 2: lower this morning ahead of central bank rate decisions. 121 00:07:11,240 --> 00:07:13,320 Speaker 3: Those are the markets in. 122 00:07:13,280 --> 00:07:15,960 Speaker 1: A moment more and the continuing tech sell off that's 123 00:07:15,960 --> 00:07:19,280 Speaker 1: been deepening over AI disruption fears. Plus how a check 124 00:07:19,400 --> 00:07:23,239 Speaker 1: trading firm took inspiration from science fiction to dominate Europe's 125 00:07:23,320 --> 00:07:27,400 Speaker 1: most volatile power market. But another story that caught ari 126 00:07:27,680 --> 00:07:30,240 Speaker 1: and a lot of attention this morning as well. In 127 00:07:30,280 --> 00:07:34,040 Speaker 1: the UK, the bruising Prime Minister's questions for Kirs starmery yesterday. 128 00:07:34,440 --> 00:07:38,160 Speaker 2: Yeah, absolutely, MP's have voted for the government here in 129 00:07:38,160 --> 00:07:42,240 Speaker 2: Britain to disclose all the documents relating to Peter mandelson 130 00:07:42,280 --> 00:07:47,160 Speaker 2: appoint and his appointment as US ambassador. So Kis Starmer 131 00:07:47,400 --> 00:07:50,560 Speaker 2: had wanted to keep those documents confidential, arguing that there 132 00:07:50,600 --> 00:07:53,920 Speaker 2: were issues of national security, but instead they will now 133 00:07:53,960 --> 00:07:58,200 Speaker 2: go to this parliamentary cross party committee for review and 134 00:07:58,240 --> 00:08:02,880 Speaker 2: then presumably release. It's a major defeat for Kis Starmer 135 00:08:02,960 --> 00:08:05,400 Speaker 2: and that is the point. It shows the depth of 136 00:08:05,560 --> 00:08:10,240 Speaker 2: anger of his own MPs really about this whole issue 137 00:08:10,520 --> 00:08:12,760 Speaker 2: that has arisen because of Jeffrey Epstein and all of 138 00:08:12,800 --> 00:08:16,400 Speaker 2: those files that were released. It could perhaps eventually precipitate 139 00:08:16,520 --> 00:08:20,960 Speaker 2: a leadership challenge. We don't know, because it shows, really 140 00:08:21,160 --> 00:08:25,040 Speaker 2: or could show how much was known about Mandalson's relationship 141 00:08:25,080 --> 00:08:28,360 Speaker 2: with epscen or maybe more details before the decision was 142 00:08:28,360 --> 00:08:31,560 Speaker 2: made to appoint him as the UK's ambassador. So there 143 00:08:31,600 --> 00:08:35,079 Speaker 2: was a really dramatic moment yesterday in Parliament when Kenny 144 00:08:35,160 --> 00:08:39,400 Speaker 2: Badenot was asking the Prime Minister whether the official secret 145 00:08:39,480 --> 00:08:44,360 Speaker 2: vetting for Mandalson mentioned this ongoing relationship with Epstein, and 146 00:08:44,360 --> 00:08:48,040 Speaker 2: the Prime Minister applied at one point yes to stunned NPS. 147 00:08:48,240 --> 00:08:50,240 Speaker 2: He then went on to say that Mandelson though didn't 148 00:08:50,280 --> 00:08:51,840 Speaker 2: tell the truth when he was questioned. 149 00:08:52,640 --> 00:08:52,840 Speaker 8: Yeah. 150 00:08:52,840 --> 00:08:55,040 Speaker 1: Look, it's a huge political story in the UK and 151 00:08:55,080 --> 00:08:56,920 Speaker 1: I've been interested to read what Matthew Brooker has been 152 00:08:56,920 --> 00:08:59,360 Speaker 1: writing about this for Bloomberg Opinion, thinking about what the 153 00:08:59,400 --> 00:09:01,800 Speaker 1: bigger picture might be actually for the future of the 154 00:09:01,800 --> 00:09:05,559 Speaker 1: House of Lords. Will this finally prompt the long discussed 155 00:09:05,880 --> 00:09:09,320 Speaker 1: reform of how lords are appointed and vetted. Of course, 156 00:09:09,360 --> 00:09:12,679 Speaker 1: the vetting they're very much in focus for Peter Mandelson 157 00:09:12,840 --> 00:09:15,600 Speaker 1: as well, and whether or not this might see Labor 158 00:09:15,640 --> 00:09:17,800 Speaker 1: deliver on some of what it's promised in its manifesto 159 00:09:17,960 --> 00:09:20,440 Speaker 1: of being big changes for the upper house. I mean 160 00:09:20,440 --> 00:09:22,520 Speaker 1: Matthew Brooker's point, you know, seems to be much easier 161 00:09:22,520 --> 00:09:24,679 Speaker 1: to sack a prince than a lord at the moment. 162 00:09:24,760 --> 00:09:27,240 Speaker 1: As well. He makes quite a good argument for how 163 00:09:27,240 --> 00:09:29,360 Speaker 1: this could be done as well, and says that look, 164 00:09:29,360 --> 00:09:32,240 Speaker 1: you know, if you have an upper house that's unelected, 165 00:09:32,440 --> 00:09:34,360 Speaker 1: you need to have confidence and the people who are 166 00:09:34,360 --> 00:09:36,439 Speaker 1: in it. And if you don't have this sort of confidence, 167 00:09:36,480 --> 00:09:39,200 Speaker 1: then you know that's going to cause bigger questions about 168 00:09:39,240 --> 00:09:41,920 Speaker 1: the function and the value of the House of Lords. 169 00:09:42,200 --> 00:09:44,440 Speaker 2: Yeah, and I was really interested in his point that 170 00:09:44,600 --> 00:09:47,440 Speaker 2: Canada has an upper house that's based on the UK's, 171 00:09:47,480 --> 00:09:51,240 Speaker 2: but it's got this independent body that picks people to 172 00:09:51,280 --> 00:09:53,480 Speaker 2: go into that upper house. Who's saying, look, why isn't 173 00:09:53,480 --> 00:09:55,400 Speaker 2: that a model? I thought that it was a really 174 00:09:55,400 --> 00:09:58,679 Speaker 2: interesting point, and we'll put a link to that story 175 00:09:58,720 --> 00:09:59,920 Speaker 2: in our podcast show notes. 176 00:10:01,000 --> 00:10:03,240 Speaker 1: Well, let's get into the big market moving story that 177 00:10:03,400 --> 00:10:07,320 Speaker 1: sell off continuing for a third day today, inspired by 178 00:10:07,480 --> 00:10:10,720 Speaker 1: these fears over AI on the verge of up ending 179 00:10:10,840 --> 00:10:13,200 Speaker 1: business models for a wide range of companies. We've now 180 00:10:13,280 --> 00:10:16,079 Speaker 1: seen a trillion dollars wiped off software stocks as a 181 00:10:16,120 --> 00:10:18,320 Speaker 1: result of this. Matt Blox, I'm senior analysts at Bloomberg 182 00:10:18,360 --> 00:10:21,640 Speaker 1: Intelligence joins us now for more math. There have been 183 00:10:21,679 --> 00:10:26,240 Speaker 1: many AI driven selloffs since chat GPT went mainstream. Is 184 00:10:26,280 --> 00:10:28,120 Speaker 1: this the most significant one so far? 185 00:10:29,600 --> 00:10:29,760 Speaker 8: Yeah? 186 00:10:30,040 --> 00:10:32,280 Speaker 9: I think it is without question obviously probably one of 187 00:10:32,320 --> 00:10:34,840 Speaker 9: the other noteworthy ones that comes to mind as well. 188 00:10:34,960 --> 00:10:36,800 Speaker 9: You know, we heard about deep Seek. She kind of 189 00:10:36,840 --> 00:10:40,600 Speaker 9: really shook up the industry. But yeah, I think the 190 00:10:40,640 --> 00:10:43,360 Speaker 9: both the breadth and depth of the sell off and 191 00:10:43,840 --> 00:10:46,880 Speaker 9: the speed of it has just been quite breath shaking. 192 00:10:47,080 --> 00:10:50,160 Speaker 2: Really the Deep See moment, I mean, was that because 193 00:10:50,200 --> 00:10:53,400 Speaker 2: it was China versus the US that was the issue there, 194 00:10:53,480 --> 00:10:55,760 Speaker 2: wasn't it? And then it leads to the question about 195 00:10:55,840 --> 00:10:59,520 Speaker 2: whether the current sell off is an overreaction or not. 196 00:11:00,360 --> 00:11:04,000 Speaker 9: I think part of it was China US, but actually 197 00:11:04,040 --> 00:11:07,000 Speaker 9: part of that Deep Seek moment was actually quite similar 198 00:11:07,040 --> 00:11:09,600 Speaker 9: I think to what we're seeing now. Essentially, you know, 199 00:11:09,800 --> 00:11:15,520 Speaker 9: the deep Seek model purported to do what the developed 200 00:11:15,840 --> 00:11:23,240 Speaker 9: US market large language models we're doing, but massively reduced cost. Yeah, exactly, 201 00:11:23,320 --> 00:11:25,520 Speaker 9: hugely cheaper. And this was like, you know, wow, we 202 00:11:25,559 --> 00:11:27,840 Speaker 9: thought this was the new model, and actually maybe this 203 00:11:27,920 --> 00:11:29,679 Speaker 9: is the new model here. And I think that's exactly 204 00:11:29,720 --> 00:11:33,560 Speaker 9: what's happening here is that you know, even kind of 205 00:11:33,880 --> 00:11:38,239 Speaker 9: new generation software companies are potentially going to be usurped 206 00:11:38,280 --> 00:11:42,480 Speaker 9: by these AI developed AI tools, you know, And that's 207 00:11:42,520 --> 00:11:44,800 Speaker 9: really essentially what Anthropic has done. It said, Okay, we 208 00:11:44,840 --> 00:11:50,760 Speaker 9: started with Claude code, Claudes large language model and code. 209 00:11:50,840 --> 00:11:55,680 Speaker 9: Claud Code helps software developers to you know, completely reimagine 210 00:11:55,760 --> 00:12:00,240 Speaker 9: how I develop software for new programs, and that kind 211 00:12:00,240 --> 00:12:03,920 Speaker 9: of evolved into Clawed Cowork, which actually now is an 212 00:12:03,920 --> 00:12:08,960 Speaker 9: incredibly interesting and powerful add on to Excel, the most 213 00:12:09,400 --> 00:12:12,600 Speaker 9: popular bit of productivity software in the world, and as 214 00:12:12,720 --> 00:12:17,600 Speaker 9: usurped Microsoft's own co pilot potentially in that platform. And 215 00:12:17,640 --> 00:12:21,800 Speaker 9: now that's extended into the kind of legal tool you know, 216 00:12:22,040 --> 00:12:25,600 Speaker 9: seemingly needing almost you know, very very kind of little 217 00:12:26,880 --> 00:12:30,559 Speaker 9: human intervention to develop this code and providing a very 218 00:12:30,600 --> 00:12:33,160 Speaker 9: powerful tool. I think that's kind of what's kind of 219 00:12:33,200 --> 00:12:36,920 Speaker 9: really made people kind of you know, step back and rethink, wow, 220 00:12:37,000 --> 00:12:39,560 Speaker 9: you know, we thought we had this figured out and 221 00:12:39,600 --> 00:12:41,920 Speaker 9: maybe we don't. And the answer to that in the 222 00:12:41,920 --> 00:12:44,840 Speaker 9: short term, as it often is with markets, is let's 223 00:12:44,880 --> 00:12:48,319 Speaker 9: just sell everything and think about it and then step 224 00:12:48,360 --> 00:12:50,920 Speaker 9: back in once we have a new view about what 225 00:12:51,040 --> 00:12:54,319 Speaker 9: the future is and pick our new winners once we've 226 00:12:54,360 --> 00:12:56,120 Speaker 9: got that figured out. 227 00:12:56,120 --> 00:12:58,240 Speaker 1: This time around, as software stocks that are very much 228 00:12:58,240 --> 00:13:01,040 Speaker 1: in focus, but are there other sectors could be vulnerable 229 00:13:01,080 --> 00:13:04,800 Speaker 1: to this sort of investor pressure over AI in the future. 230 00:13:05,000 --> 00:13:05,560 Speaker 3: Yeah, exactly. 231 00:13:05,600 --> 00:13:07,920 Speaker 9: And obviously software has been the focus, but it has 232 00:13:08,080 --> 00:13:11,360 Speaker 9: hit other industries. You know, One notable one has been 233 00:13:11,400 --> 00:13:15,120 Speaker 9: the big advertising agencies. So if we look back to 234 00:13:15,320 --> 00:13:19,640 Speaker 9: Tuesday Publicist, which is one of the biggest and most 235 00:13:19,640 --> 00:13:23,119 Speaker 9: successful ad agencies, They've made a massive pivot towards technology 236 00:13:23,120 --> 00:13:27,520 Speaker 9: and AI, so were perceived to be leading this transition 237 00:13:27,559 --> 00:13:31,400 Speaker 9: and managing it really well. They reported really good results 238 00:13:31,440 --> 00:13:35,120 Speaker 9: and encouraging outlook, the whole ad agency group sell off, 239 00:13:35,200 --> 00:13:37,079 Speaker 9: you know, eight to ten percent that day, and I've 240 00:13:37,080 --> 00:13:40,640 Speaker 9: had further declines still because they are also perceived as 241 00:13:40,679 --> 00:13:46,200 Speaker 9: an industry that could be completely disrupted by AI. And 242 00:13:46,240 --> 00:13:51,960 Speaker 9: I think this whole kind of anthropic moment has again 243 00:13:52,040 --> 00:13:55,280 Speaker 9: led to kind of incremental concerns that the modern these businesses. 244 00:13:55,559 --> 00:13:58,400 Speaker 9: Yes we knew or exposed to it, but that seemed 245 00:13:58,440 --> 00:14:02,520 Speaker 9: to be managing that transition in a good way. Actually, 246 00:14:02,840 --> 00:14:05,360 Speaker 9: we need to go back and rethink that. So I 247 00:14:05,400 --> 00:14:08,880 Speaker 9: think anything that's kind of like a services based industry 248 00:14:09,920 --> 00:14:19,160 Speaker 9: from ad agency's, legal, accounting, consulting, financial advisory, all these 249 00:14:19,280 --> 00:14:26,560 Speaker 9: kind of human intensive service based industries potentially not going 250 00:14:26,640 --> 00:14:27,600 Speaker 9: to be untouched by this. 251 00:14:28,400 --> 00:14:30,520 Speaker 3: Yes, it's sort of an incredible moment. 252 00:14:30,800 --> 00:14:33,720 Speaker 2: Is it going to be a transition with AI or 253 00:14:33,880 --> 00:14:36,240 Speaker 2: just a rupture? I think investors are really kind of 254 00:14:36,280 --> 00:14:39,520 Speaker 2: contemplating this. Matt, thank you so much for your time today. 255 00:14:39,560 --> 00:14:44,280 Speaker 2: Matt Bloxham is Bloomberg's senior analyst with Bloomberg Intelligence. 256 00:14:44,320 --> 00:14:49,160 Speaker 3: Thank you for your time. Stay with us. More from 257 00:14:49,200 --> 00:14:51,320 Speaker 3: Bloomberg Daybaque coming up after this. 258 00:14:51,880 --> 00:14:54,600 Speaker 1: Now, a check trading firm has come from nowhere to 259 00:14:54,680 --> 00:14:59,120 Speaker 1: dominate Europe's most volatile power market. The trio behind Second 260 00:14:59,200 --> 00:15:03,520 Speaker 1: Foundation to inspiration from science fiction, hiring maths prodigies from 261 00:15:03,560 --> 00:15:07,240 Speaker 1: across Eastern Europe. Our energy reporter Eva Brendel joins us 262 00:15:07,280 --> 00:15:09,320 Speaker 1: now for more. Eva, good morning, great to have you 263 00:15:09,360 --> 00:15:13,280 Speaker 1: with us. How has Second Foundation become such an important player. 264 00:15:13,640 --> 00:15:16,960 Speaker 8: So the company operates on the ultrasure term market and 265 00:15:17,040 --> 00:15:20,320 Speaker 8: to be successful in this you have to use algorithmic trading, 266 00:15:20,800 --> 00:15:23,000 Speaker 8: and this is what they seem to be very good at. 267 00:15:23,440 --> 00:15:27,640 Speaker 8: They have built very sophisticated algorithms that can react to 268 00:15:27,720 --> 00:15:31,960 Speaker 8: the market in milliseconds. And to get good at this 269 00:15:32,080 --> 00:15:35,520 Speaker 8: sort of trading is the main strategy is to have 270 00:15:35,720 --> 00:15:40,440 Speaker 8: very smart employees who constantly can improve those algorithms. And 271 00:15:40,560 --> 00:15:43,200 Speaker 8: so they hire a lot of smart radios with a 272 00:15:43,280 --> 00:15:46,200 Speaker 8: special love for solving math riddles. And they even say 273 00:15:46,240 --> 00:15:50,160 Speaker 8: they have their most math Olympic medalists in Eastern Europe. 274 00:15:50,600 --> 00:15:54,520 Speaker 2: Wow, okay, so mass prodigies then are working for this company. Well, 275 00:15:54,560 --> 00:15:57,200 Speaker 2: then tell us a bit more about the inter day 276 00:15:57,320 --> 00:16:01,840 Speaker 2: power market that they operate in, the second foundation operates in, 277 00:16:02,320 --> 00:16:06,440 Speaker 2: and why it's such a lucrative space actually to use 278 00:16:06,480 --> 00:16:07,440 Speaker 2: all these people in. 279 00:16:07,880 --> 00:16:10,800 Speaker 8: So, the interjay power market has undergone a big change 280 00:16:10,840 --> 00:16:12,840 Speaker 8: in recent years, and this has to do with the 281 00:16:12,920 --> 00:16:16,720 Speaker 8: energy transition because as more renewables came into the system, 282 00:16:17,000 --> 00:16:21,000 Speaker 8: more volatility came to the market. And yeah, now it 283 00:16:21,080 --> 00:16:23,400 Speaker 8: is it's pretty hard to predict how windy it will 284 00:16:23,440 --> 00:16:27,000 Speaker 8: be or how much sun will shine that day, prices 285 00:16:27,040 --> 00:16:30,520 Speaker 8: can hugely swing. And yeah, on very windy sunny days 286 00:16:30,520 --> 00:16:33,560 Speaker 8: of the sea, prices will go negative or prices can 287 00:16:33,600 --> 00:16:36,880 Speaker 8: also jump very high up to one thousand euro pomega 288 00:16:37,200 --> 00:16:39,960 Speaker 8: what are when demand is high and it is also windless. 289 00:16:40,600 --> 00:16:44,000 Speaker 8: And this increased volatility has made the market much more 290 00:16:44,040 --> 00:16:48,520 Speaker 8: attractive for algorithmic traders who can react faster than anyone else. 291 00:16:49,000 --> 00:16:52,200 Speaker 1: Yeah, the co founders are fans of science fiction. How 292 00:16:52,200 --> 00:16:54,440 Speaker 1: has that influenced their business? 293 00:16:54,640 --> 00:16:57,600 Speaker 8: So, first of all, the company is named after the 294 00:16:57,640 --> 00:17:02,240 Speaker 8: second Foundation, this third book in Isaacs of Foundations Areas, 295 00:17:02,440 --> 00:17:04,879 Speaker 8: and every new employee gets a copy of that book. 296 00:17:04,920 --> 00:17:09,520 Speaker 8: And also they have other things named after science fiction books. 297 00:17:09,560 --> 00:17:12,880 Speaker 8: So their trading platform is called soft Hoham, named after 298 00:17:12,880 --> 00:17:17,200 Speaker 8: a supercomputer in the Three Body Problem. And also when 299 00:17:17,200 --> 00:17:21,600 Speaker 8: you visit their company's park office, all of their walls 300 00:17:21,600 --> 00:17:24,200 Speaker 8: areligned with bookshelves and you can guess what's in their 301 00:17:24,240 --> 00:17:26,280 Speaker 8: even more science fiction books. 302 00:17:26,920 --> 00:17:30,720 Speaker 3: Okay, so then what's next for the company. 303 00:17:31,240 --> 00:17:34,480 Speaker 8: The company now expands a battery business across Europe, and 304 00:17:34,880 --> 00:17:38,440 Speaker 8: they might at some point even beyond expand beyond energy. 305 00:17:38,680 --> 00:17:41,080 Speaker 8: So they share with me that they might go into 306 00:17:41,200 --> 00:17:42,119 Speaker 8: equity trading. 307 00:17:42,200 --> 00:17:46,600 Speaker 1: Next, this is Bloomberg Daybreak Europe, your morning brief on 308 00:17:46,680 --> 00:17:49,840 Speaker 1: the stories making news from London to Wall Street and beyond. 309 00:17:50,200 --> 00:17:54,160 Speaker 2: Look for so on your podcast feed every morning on Apple, Spotify, 310 00:17:54,280 --> 00:17:56,280 Speaker 2: and anywhere else you get your podcasts. 311 00:17:56,359 --> 00:17:59,399 Speaker 1: You can also listen live each morning on London Dab Radio, 312 00:17:59,440 --> 00:18:02,159 Speaker 1: the Bloomberg Business app, and Bloomberg dot Com. 313 00:18:02,200 --> 00:18:04,960 Speaker 2: Our flagship New York station, is also available on your 314 00:18:05,000 --> 00:18:09,719 Speaker 2: Amazon Alexa devices. Just say Alexa play Bloomberg eleven thirty. 315 00:18:09,960 --> 00:18:11,240 Speaker 3: I'm Caroline Hepka and. 316 00:18:11,200 --> 00:18:13,840 Speaker 1: I'm Stephen Carol. Join us again tomorrow morning for all 317 00:18:13,880 --> 00:18:16,280 Speaker 1: the news you need to start your day right here 318 00:18:16,320 --> 00:18:19,680 Speaker 1: on Bloomberg Daybreak Europe