1 00:00:02,680 --> 00:00:05,160 Speaker 1: Good morning. It's Wenesday, the thirty first of January here 2 00:00:05,200 --> 00:00:07,840 Speaker 1: in London. This is the Bloomberg Daybreak at podcast. I'm 3 00:00:07,880 --> 00:00:09,040 Speaker 1: Caroline Hepkare and. 4 00:00:09,000 --> 00:00:10,799 Speaker 2: I'm Stephen Carroll. Coming up today. 5 00:00:10,960 --> 00:00:14,920 Speaker 3: Microsoft and Alphabet beat expectations with their earnings, but fail 6 00:00:15,000 --> 00:00:17,799 Speaker 3: to excite investors with their AI offerings. 7 00:00:18,239 --> 00:00:22,439 Speaker 1: A US judge strikes down Elon Musk's fifty five billion 8 00:00:22,480 --> 00:00:24,880 Speaker 1: dollar Tesla pay package and the. 9 00:00:24,920 --> 00:00:29,080 Speaker 3: Two point six billion dollar experiment to cover up Europe's 10 00:00:29,160 --> 00:00:32,600 Speaker 3: dirty habit. We look at the plan in Norway to 11 00:00:32,760 --> 00:00:35,320 Speaker 3: bury industrial pollution under the sea. 12 00:00:35,720 --> 00:00:38,720 Speaker 1: Let's start with a roundup of our top stories. Despite 13 00:00:38,800 --> 00:00:43,200 Speaker 1: posting results that beat expectations, shares in Microsoft and Google 14 00:00:43,240 --> 00:00:46,919 Speaker 1: parent Alphabet dropped after market. The tech chance are struggling 15 00:00:47,000 --> 00:00:51,080 Speaker 1: to meet investor expectations on what AI advances can deliver 16 00:00:51,280 --> 00:00:54,520 Speaker 1: in the short term. At Microsoft, revenue increased at the 17 00:00:54,520 --> 00:00:58,120 Speaker 1: fastest rates it is twenty twenty two. Our tech reporter 18 00:00:58,320 --> 00:01:02,040 Speaker 1: Jackie Davilos says that AI products helped to drive cloud 19 00:01:02,080 --> 00:01:04,759 Speaker 1: computing growth, but traders wanted more. 20 00:01:05,920 --> 00:01:10,520 Speaker 4: Azure growth has seen some sluggish quarters in previous periods. 21 00:01:10,560 --> 00:01:13,559 Speaker 4: It looks like it's starting to recover in part due 22 00:01:13,560 --> 00:01:17,319 Speaker 4: to that AI related growth. But investors are looking for 23 00:01:17,480 --> 00:01:19,640 Speaker 4: a little bit more of a boost. When you think 24 00:01:19,680 --> 00:01:22,720 Speaker 4: about just how much excitement has been baked into AI, 25 00:01:23,000 --> 00:01:25,720 Speaker 4: they're looking for a little bit more. We were seeing 26 00:01:25,800 --> 00:01:29,480 Speaker 4: fifty to sixty percent growth in the heyday during that 27 00:01:29,640 --> 00:01:32,920 Speaker 4: post pandemic period in cloud computing was really on a tear, 28 00:01:33,360 --> 00:01:34,840 Speaker 4: and that's come down quite. 29 00:01:34,680 --> 00:01:39,319 Speaker 1: A bit, Bloomberg's Jackie Davelos, speaking there as Microsoft reported 30 00:01:39,360 --> 00:01:42,560 Speaker 1: a twenty four percent rise in revenue for its commercial 31 00:01:42,600 --> 00:01:44,200 Speaker 1: cloud computing business. 32 00:01:44,400 --> 00:01:48,120 Speaker 3: At Alphabet, quarterly results also raised investor concerns, even as 33 00:01:48,160 --> 00:01:52,600 Speaker 3: earning's beat estimates. Sales excluding partner payouts jumped by fifteen percent, 34 00:01:52,800 --> 00:01:55,760 Speaker 3: but a narrow revenue miss for the core Google search 35 00:01:55,840 --> 00:01:59,400 Speaker 3: business drove shares lower in after hours trading. Co host 36 00:01:59,400 --> 00:02:02,320 Speaker 3: of Bloomberg Technology Ed Ludlow says the rise of generative 37 00:02:02,360 --> 00:02:06,240 Speaker 3: AI has enabled companies to challenge Alphabet's market dominance in 38 00:02:06,280 --> 00:02:06,760 Speaker 3: the space. 39 00:02:07,400 --> 00:02:11,400 Speaker 5: One thesis or idea is that maybe the streets concern 40 00:02:11,520 --> 00:02:14,359 Speaker 5: about weakness in the search business is they don't yet 41 00:02:14,440 --> 00:02:17,680 Speaker 5: see tangible evidence that all of the R and D 42 00:02:17,800 --> 00:02:20,640 Speaker 5: and work in generative AI and all of the product 43 00:02:20,639 --> 00:02:24,920 Speaker 5: released is actually doing anything supportive to Google's core business. 44 00:02:25,120 --> 00:02:28,120 Speaker 5: Compare and contrast that with Microsoft, where you see the 45 00:02:28,160 --> 00:02:31,560 Speaker 5: contribution of AI across its kind of legacy and newer 46 00:02:31,919 --> 00:02:36,000 Speaker 5: offerings and software suites. It's clearly seeing a top and 47 00:02:36,040 --> 00:02:38,200 Speaker 5: bottom line effect ed. 48 00:02:38,240 --> 00:02:42,320 Speaker 3: Louvelow's analysis comes after higher expectations for Alphabet's AI efforts 49 00:02:42,360 --> 00:02:45,400 Speaker 3: push the stock up by almost sixty percent over the 50 00:02:45,440 --> 00:02:48,360 Speaker 3: past year to a near two trillion dollar valuation. 51 00:02:49,680 --> 00:02:54,040 Speaker 1: European banking giant Santander has reported better than expected results 52 00:02:54,040 --> 00:02:56,920 Speaker 1: for the fourth quarter. Net income at the Spanish lender 53 00:02:57,040 --> 00:03:00,400 Speaker 1: came in at two point nine billion euros. That's three 54 00:03:00,440 --> 00:03:04,120 Speaker 1: hundred and seventy million euros more than what analysts were expecting, 55 00:03:04,440 --> 00:03:08,239 Speaker 1: whilst net interesting income also beat expectations at over eleven 56 00:03:08,280 --> 00:03:10,880 Speaker 1: point one billion euros. The bank says that it is 57 00:03:10,919 --> 00:03:14,040 Speaker 1: now targeting single digit revenue growth for this year and 58 00:03:14,080 --> 00:03:17,520 Speaker 1: a return on tangible equity of sixteen percent. 59 00:03:18,360 --> 00:03:21,320 Speaker 3: UBS has cut a group of senior bankers, according to 60 00:03:21,320 --> 00:03:24,200 Speaker 3: people familiar with the matter. Senior figures departing the Swiss 61 00:03:24,200 --> 00:03:27,639 Speaker 3: firm include the global head of technology and two vice chairman. 62 00:03:27,680 --> 00:03:29,760 Speaker 3: Bloomberg's Charlie Palace has the details. 63 00:03:30,639 --> 00:03:34,800 Speaker 6: It comes as the financial giant reduces its headcount following 64 00:03:34,880 --> 00:03:39,080 Speaker 6: last year's takeover of form Arrival Credit Sueese. The sources 65 00:03:39,080 --> 00:03:41,560 Speaker 6: say the zurip based firm made several of the cuts 66 00:03:41,640 --> 00:03:45,320 Speaker 6: last week. UBS's workforce jumped to about one hundred and 67 00:03:45,400 --> 00:03:48,480 Speaker 6: twenty thousand when the Credit Sweese deal closed in June, 68 00:03:48,800 --> 00:03:51,040 Speaker 6: and the bank has said it aims to save around 69 00:03:51,160 --> 00:03:55,560 Speaker 6: six billion dollars in staff costs incoming years. In New York, 70 00:03:55,760 --> 00:03:58,000 Speaker 6: Charlie Pellett Bloomberg Radio. 71 00:03:58,920 --> 00:04:03,120 Speaker 1: Elon Musk's fifty five billion dollar Tesla pay package has 72 00:04:03,160 --> 00:04:07,320 Speaker 1: been voided by a court following a shareholder challenge. If 73 00:04:07,360 --> 00:04:10,840 Speaker 1: the decision survives appeal, it could threaten the entrepreneur's fortune 74 00:04:10,880 --> 00:04:13,920 Speaker 1: and throw the fate of his companies into question. Mask's 75 00:04:13,960 --> 00:04:18,360 Speaker 1: twenty eighteen award was the largest compensation package in history, 76 00:04:18,440 --> 00:04:22,600 Speaker 1: helping him occupy the number one spot on Bloomberg's Billionaires 77 00:04:22,600 --> 00:04:26,239 Speaker 1: Index for most of the last two years. Tesla's board 78 00:04:26,279 --> 00:04:29,560 Speaker 1: will now need to agree on new payment terms for 79 00:04:29,640 --> 00:04:30,360 Speaker 1: their CEO. 80 00:04:31,080 --> 00:04:33,599 Speaker 3: The Federal Reserve meets today as markets asked when the 81 00:04:33,680 --> 00:04:37,720 Speaker 3: central bank will declare its fight against inflation over investors 82 00:04:37,760 --> 00:04:40,120 Speaker 3: expector on Pale to hold rate steady for a fourth 83 00:04:40,279 --> 00:04:43,720 Speaker 3: straight meeting. Bloomberg's Fed editor Kate Davidson sums up what 84 00:04:43,760 --> 00:04:45,520 Speaker 3: we've heard from the FOMC. 85 00:04:46,200 --> 00:04:49,080 Speaker 7: The sense is that from what we've heard and probably 86 00:04:49,080 --> 00:04:51,560 Speaker 7: what we'll hear, they're just not in a huge rush. 87 00:04:51,560 --> 00:04:55,440 Speaker 7: They're not seeing anything concerning any big reason to compel 88 00:04:55,480 --> 00:04:56,800 Speaker 7: them to go earlier. 89 00:04:58,200 --> 00:05:00,560 Speaker 3: For Davidson, the key question is how the FED chair 90 00:05:00,640 --> 00:05:03,880 Speaker 3: is thinking about where rates will go in Spring. Investors 91 00:05:03,920 --> 00:05:06,760 Speaker 3: see he roughly forty percent chance the Central Bank will 92 00:05:06,800 --> 00:05:08,800 Speaker 3: lower rates for the first time in March. 93 00:05:09,520 --> 00:05:13,159 Speaker 1: The International Monetary Fund is warning Chancellor Jeremy Hunts that 94 00:05:13,400 --> 00:05:16,960 Speaker 1: cutting taxes would be bad for the UK economy. The 95 00:05:17,000 --> 00:05:20,240 Speaker 1: Fund sees Britain's economy growing at zero point six percent 96 00:05:20,320 --> 00:05:23,919 Speaker 1: this year and one point six percent in twenty twenty five, 97 00:05:24,360 --> 00:05:28,440 Speaker 1: but chief economist Pierre Olivia Garinchi says that Britain's high 98 00:05:28,440 --> 00:05:31,240 Speaker 1: public debt is a problem. 99 00:05:31,640 --> 00:05:34,719 Speaker 8: There is a need to put in place medium term 100 00:05:34,920 --> 00:05:41,080 Speaker 8: fiscal plans that will accommodate a very significant increasing spending pressures. 101 00:05:41,520 --> 00:05:46,240 Speaker 8: We would advise against further discretionary tax cuts as envisioned 102 00:05:46,320 --> 00:05:47,120 Speaker 8: will discuss now. 103 00:05:48,279 --> 00:05:51,680 Speaker 1: An IMF spokesperson went one further than Garincha, saying that 104 00:05:51,720 --> 00:05:55,640 Speaker 1: the UK should actually be raising taxes. The US based 105 00:05:55,680 --> 00:05:59,640 Speaker 1: institution last intervened in the UK in terms of government 106 00:05:59,680 --> 00:06:03,159 Speaker 1: policy see in twenty twenty two when it openly criticized 107 00:06:03,200 --> 00:06:07,640 Speaker 1: then Prime Minister Liz truss is disastrous mini budget. Now, 108 00:06:07,640 --> 00:06:10,039 Speaker 1: in a moment, we'll discuss the latest tech earnings and 109 00:06:10,080 --> 00:06:13,320 Speaker 1: why investors seem to have been so disappointed. Plus will 110 00:06:13,320 --> 00:06:18,039 Speaker 1: bring you details of a multi billion euro project to 111 00:06:18,160 --> 00:06:22,679 Speaker 1: store a captured carbon off the Norwegian coast. But another 112 00:06:22,760 --> 00:06:25,640 Speaker 1: story caught our eye this morning. Maybe winter but already 113 00:06:25,680 --> 00:06:28,719 Speaker 1: thinking about another heat wave for the summer. 114 00:06:28,480 --> 00:06:30,320 Speaker 2: Rating of thinking about advance. 115 00:06:30,400 --> 00:06:32,480 Speaker 3: This is a report from the Environmental Audit Committee here 116 00:06:32,480 --> 00:06:35,200 Speaker 3: in the UK, saying the government's doing little to prepare 117 00:06:35,240 --> 00:06:38,880 Speaker 3: for hotter summers and the consequences of more frequent heat waves. 118 00:06:39,000 --> 00:06:39,520 Speaker 2: Last year, of. 119 00:06:39,520 --> 00:06:41,480 Speaker 3: Course the warmest on record in the UK. The Met 120 00:06:41,560 --> 00:06:44,680 Speaker 3: Office already expects twenty twenty four to be even hotter. 121 00:06:45,400 --> 00:06:48,360 Speaker 3: The report saying that more than four point six million 122 00:06:48,440 --> 00:06:53,800 Speaker 3: English homes experience summertime overheating, and around ninety percent of 123 00:06:53,839 --> 00:06:56,800 Speaker 3: the existing homes will get too hot on a scenario 124 00:06:56,800 --> 00:06:59,159 Speaker 3: where global temperatures rise by two degrees. 125 00:06:59,320 --> 00:06:59,520 Speaker 6: Yeah. 126 00:06:59,560 --> 00:07:01,400 Speaker 1: The issue though with this, and it has been for 127 00:07:01,440 --> 00:07:06,320 Speaker 1: a long time, is who pays for upgrading the UK's 128 00:07:06,440 --> 00:07:09,440 Speaker 1: rather ancient housing stock. I mean some of the solutions 129 00:07:09,720 --> 00:07:13,280 Speaker 1: put forward installing shutters as almost unheard of in the UK, 130 00:07:13,440 --> 00:07:17,600 Speaker 1: really increasing the size of green spaces, also using things 131 00:07:17,640 --> 00:07:21,240 Speaker 1: like reflective paint on roofs, but little of these have 132 00:07:21,360 --> 00:07:25,560 Speaker 1: been rolled out at any scale. This pointed out by 133 00:07:25,560 --> 00:07:27,080 Speaker 1: the Committee chairman Philip Dunn. 134 00:07:27,400 --> 00:07:30,560 Speaker 3: Yeah, something definitely to watch as we think about warmer 135 00:07:30,600 --> 00:07:33,040 Speaker 3: times ahead to come this year. Let's get more now though, 136 00:07:33,040 --> 00:07:34,680 Speaker 3: on their aft of tech earnings that we've had out. 137 00:07:34,680 --> 00:07:38,160 Speaker 3: Investors not impressed with some of what they heard from Microsoft, 138 00:07:38,200 --> 00:07:41,680 Speaker 3: to Alphabet and AMD, despite them reporting strong numbers and 139 00:07:41,920 --> 00:07:45,920 Speaker 3: further embracing of artificial intelligence. Bloomberg TV anchor Critty coopters 140 00:07:45,920 --> 00:07:48,760 Speaker 3: with us for more on this. What is going on here? 141 00:07:48,880 --> 00:07:53,080 Speaker 3: Microsoft posted beats across the board, Alphabet's highest quarterly revenue 142 00:07:53,120 --> 00:07:56,680 Speaker 3: and profits in its history. AMD sales forecasts quarter. Okay, 143 00:07:56,680 --> 00:07:59,960 Speaker 3: it was after than expected, but still strong growth prospects 144 00:08:00,200 --> 00:08:01,680 Speaker 3: and that's just just want. 145 00:08:01,680 --> 00:08:04,240 Speaker 9: These are very different companies. Let's start with Microsoft. Microsoft's 146 00:08:04,240 --> 00:08:06,760 Speaker 9: their main kind of growth driver is their cloud business, 147 00:08:06,760 --> 00:08:09,720 Speaker 9: it's their Asia business. They posted about a thirty percent growth, 148 00:08:09,880 --> 00:08:12,200 Speaker 9: twenty eight percent was the estimate there. But the problem 149 00:08:12,240 --> 00:08:15,800 Speaker 9: here is for a lot of this artificial intelligence kind 150 00:08:15,800 --> 00:08:17,720 Speaker 9: of pick up and this boost, you have to look 151 00:08:17,760 --> 00:08:20,240 Speaker 9: at what company is most positioned to take big most 152 00:08:20,240 --> 00:08:21,920 Speaker 9: advantage of it. So it's not just a story about 153 00:08:22,160 --> 00:08:25,000 Speaker 9: are we investing in AI or in Microsoft's case, how 154 00:08:25,080 --> 00:08:27,240 Speaker 9: much of their investments going in too Open AI in particular, 155 00:08:27,280 --> 00:08:29,840 Speaker 9: Remember they have a forty nine percent stake in that company, 156 00:08:30,160 --> 00:08:32,360 Speaker 9: backing Sam Altman there. But it's also a question of 157 00:08:32,400 --> 00:08:34,839 Speaker 9: what kind of products do they offer that actually can 158 00:08:34,960 --> 00:08:37,520 Speaker 9: make AI become a bit more commercial, and that's where 159 00:08:37,559 --> 00:08:39,920 Speaker 9: Microsoft really has the edge here. The problem is a 160 00:08:39,920 --> 00:08:41,760 Speaker 9: lot of that is priced in, and that's why you 161 00:08:41,800 --> 00:08:45,080 Speaker 9: only actually saw despite the numbers, they weren't blowout numbers. 162 00:08:45,080 --> 00:08:47,400 Speaker 9: They just kind of came in line with expectations, Asia 163 00:08:47,480 --> 00:08:51,040 Speaker 9: coming in hotter than expected, but not as hot as 164 00:08:51,080 --> 00:08:53,920 Speaker 9: perhaps to your point investors wanted. Alphabet is a similar 165 00:08:53,960 --> 00:08:57,040 Speaker 9: story in that same out was really good quarterly revenue, 166 00:08:57,040 --> 00:08:59,760 Speaker 9: Their cloud numbers were really strong as well, but at 167 00:08:59,760 --> 00:09:01,000 Speaker 9: the end of the day, you need to look at 168 00:09:01,000 --> 00:09:04,560 Speaker 9: their advertising revenue. Google in particular that our YouTube business. 169 00:09:04,800 --> 00:09:08,840 Speaker 9: It's very exposed to the cyclicality of the US economy. 170 00:09:08,840 --> 00:09:10,760 Speaker 9: So if you start to see a slowdown in business investment, 171 00:09:10,800 --> 00:09:14,360 Speaker 9: slowdown in marketing or ad spend for example, that's directly 172 00:09:14,400 --> 00:09:16,240 Speaker 9: going to hit Alphabet more than it does any of 173 00:09:16,280 --> 00:09:20,800 Speaker 9: the other Magnificent seven companies as well. And AMD is well, 174 00:09:20,800 --> 00:09:23,520 Speaker 9: this one's really simple. That's a simple forecast story where 175 00:09:23,559 --> 00:09:25,559 Speaker 9: you do see them really just get punished right off 176 00:09:25,559 --> 00:09:28,240 Speaker 9: the bat. But again, three different stories. But I think 177 00:09:28,280 --> 00:09:32,440 Speaker 9: the takeaway here is that there's been so much optimism already. 178 00:09:32,480 --> 00:09:33,920 Speaker 9: These are the stocks that have driven the S and 179 00:09:33,960 --> 00:09:36,280 Speaker 9: P five hundred to a record high. To me, this 180 00:09:36,320 --> 00:09:38,720 Speaker 9: looks more like positioning than fundamentals driven. 181 00:09:38,880 --> 00:09:42,920 Speaker 1: Okay, that's interesting. On the businesses though, Is there a 182 00:09:43,000 --> 00:09:46,360 Speaker 1: risk if Alphabet Microsoft has taken the lead on AI. 183 00:09:46,400 --> 00:09:49,000 Speaker 1: I see lots of headlines about you know, Microsoft being back. 184 00:09:49,440 --> 00:09:52,240 Speaker 1: Is it some softness in its cool search out business? 185 00:09:52,280 --> 00:09:54,680 Speaker 9: There is, there is, there's a little bit, it's not 186 00:09:55,120 --> 00:09:57,760 Speaker 9: as expected. So basically the way you have to look 187 00:09:57,800 --> 00:10:00,240 Speaker 9: at tech earnings is and this is almost kind of 188 00:10:00,280 --> 00:10:03,360 Speaker 9: a nuanced approach, but basically you say, not only did 189 00:10:03,360 --> 00:10:06,240 Speaker 9: they meet their earnings, did they forecast something even better? 190 00:10:06,280 --> 00:10:08,520 Speaker 9: Did they surprise you in some way? The problem is 191 00:10:08,559 --> 00:10:11,160 Speaker 9: the market's gotten so used to those expectations. So I 192 00:10:11,160 --> 00:10:13,480 Speaker 9: think one of the big takeaways here for Alphabet in 193 00:10:13,520 --> 00:10:15,959 Speaker 9: particular is there was a lot of scrutiny on their 194 00:10:15,960 --> 00:10:19,080 Speaker 9: cloud business because if you'll remember, Microsoft is the leader 195 00:10:19,200 --> 00:10:23,280 Speaker 9: in cloud right next to Amazon Amazon Web Services so AWS. 196 00:10:23,480 --> 00:10:26,360 Speaker 9: And if you think about what products actually position these 197 00:10:26,360 --> 00:10:29,440 Speaker 9: companies really well for this kind of take up of AI, 198 00:10:30,280 --> 00:10:32,640 Speaker 9: it's the cloud businesses in particular. So that's why Microsoft 199 00:10:32,640 --> 00:10:34,520 Speaker 9: and Amazon kind of had that edge, and you can 200 00:10:34,559 --> 00:10:37,040 Speaker 9: see that in the share price that even though Microsoft 201 00:10:37,040 --> 00:10:40,400 Speaker 9: didn't impress, the shrif didn't drop that substantially after hours, 202 00:10:40,440 --> 00:10:42,640 Speaker 9: they're only down three tons of one percent by the 203 00:10:42,760 --> 00:10:44,439 Speaker 9: end of US after hours. 204 00:10:44,480 --> 00:10:44,800 Speaker 7: Training. 205 00:10:45,000 --> 00:10:47,160 Speaker 9: To talk about a little bit more about Alphabet in particular, 206 00:10:47,240 --> 00:10:49,880 Speaker 9: it's that their cloud business is still developing. They are 207 00:10:49,920 --> 00:10:52,000 Speaker 9: not the leadership in cloud. They're trying to get there, 208 00:10:52,160 --> 00:10:54,240 Speaker 9: but they're competing with likes of Oracle, for example, for 209 00:10:54,360 --> 00:10:57,080 Speaker 9: market share because this is a really really hard market 210 00:10:57,120 --> 00:11:00,360 Speaker 9: to actually break into and that's where Microsoft has edge. 211 00:11:00,920 --> 00:11:03,720 Speaker 3: Can I ask you to about another story that we're 212 00:11:03,720 --> 00:11:06,200 Speaker 3: following this morning, right, Elon Musk, this course ruling in 213 00:11:06,280 --> 00:11:09,959 Speaker 3: Delaware striking down his Tesla pay package after a shareholder challenge. 214 00:11:10,160 --> 00:11:10,720 Speaker 2: What happened? 215 00:11:10,840 --> 00:11:12,760 Speaker 9: So a couple of things here that our international audience 216 00:11:12,800 --> 00:11:15,079 Speaker 9: needs to know is, first off, most companies are incorporated 217 00:11:15,160 --> 00:11:17,600 Speaker 9: in Delaware simply because it is a tax friendly state 218 00:11:18,240 --> 00:11:21,520 Speaker 9: and because they are known for speedy decisions like this one. 219 00:11:21,600 --> 00:11:24,480 Speaker 9: Elon Musk basically had a fifty five billion dollar pay package. 220 00:11:24,520 --> 00:11:26,959 Speaker 9: A lot of that was tied to stock options, and 221 00:11:27,240 --> 00:11:30,320 Speaker 9: that makes sense. He's building a company, Tesla stock is 222 00:11:30,320 --> 00:11:33,720 Speaker 9: going through the roof. He has historically sold stock to 223 00:11:34,040 --> 00:11:37,240 Speaker 9: famously by Twitter now named x. So one of the 224 00:11:37,240 --> 00:11:39,600 Speaker 9: big questions was is the fifty five billion dollars really 225 00:11:39,720 --> 00:11:42,040 Speaker 9: justified for that? And a shareholder had brought this up 226 00:11:42,080 --> 00:11:44,400 Speaker 9: and filed a petition saying that this is not justified 227 00:11:44,559 --> 00:11:47,640 Speaker 9: given he hasn't fully disclosed his conflicts of interest and 228 00:11:47,679 --> 00:11:51,520 Speaker 9: that the pay negotiations weren't fully a negotiation, and that 229 00:11:51,559 --> 00:11:53,400 Speaker 9: was something that came up in this court order as well. 230 00:11:53,440 --> 00:11:55,000 Speaker 9: So now it looks like he will not be getting 231 00:11:55,000 --> 00:11:57,880 Speaker 9: the full fifty five billion dollars because a Delaware judge, who, 232 00:11:57,880 --> 00:12:00,240 Speaker 9: by the way, is the same judge that basically made 233 00:12:00,320 --> 00:12:03,040 Speaker 9: him by Twitter when he tried to say that Twitter 234 00:12:03,080 --> 00:12:06,880 Speaker 9: was not being honest about some of the numbers, basically 235 00:12:06,920 --> 00:12:08,480 Speaker 9: now is saying that we have to go right back 236 00:12:08,520 --> 00:12:10,199 Speaker 9: and renegotiate that pay package. 237 00:12:10,640 --> 00:12:13,320 Speaker 3: Okay, well, Critic Guta, we will watch the developments in 238 00:12:13,320 --> 00:12:16,720 Speaker 3: that story with interest and what legal challenges may follow 239 00:12:16,880 --> 00:12:20,120 Speaker 3: as well. Critic Gup to Bloomberg TV anchor there for 240 00:12:20,280 --> 00:12:23,319 Speaker 3: joining us, Thank you. Let's go to Norway for our 241 00:12:23,320 --> 00:12:26,319 Speaker 3: next story and a two point six billion dollar project 242 00:12:26,360 --> 00:12:29,360 Speaker 3: for a network of carbon storage tanks buried under the 243 00:12:29,400 --> 00:12:31,800 Speaker 3: north Sea. It's a plan that's won the backing of 244 00:12:31,840 --> 00:12:35,160 Speaker 3: Germany's government could pave the way for a new international 245 00:12:35,240 --> 00:12:38,880 Speaker 3: trade in industrial emissions. Joining us now, as Carrie Langren, 246 00:12:38,880 --> 00:12:42,880 Speaker 3: who covers oil, gas and renewables for Bloomberg. Carrie, great 247 00:12:42,880 --> 00:12:45,440 Speaker 3: to have you with us. What made you? First of all, 248 00:12:45,320 --> 00:12:48,480 Speaker 3: I want to write about carbon capture and storage in Norway? 249 00:12:49,360 --> 00:12:51,880 Speaker 10: Well, you know it's about a little over a year 250 00:12:51,920 --> 00:12:56,400 Speaker 10: ago now, last January, I was the German Vice chancellor 251 00:12:56,520 --> 00:12:59,120 Speaker 10: Robert Habock came to Norway and was visiting, and he 252 00:12:59,679 --> 00:13:02,760 Speaker 10: and the energy minister went to visit the cement plant 253 00:13:02,800 --> 00:13:04,920 Speaker 10: south of Osso, and I was with this whole group 254 00:13:04,960 --> 00:13:08,679 Speaker 10: of reporters that went along on this press trip, and 255 00:13:08,800 --> 00:13:10,760 Speaker 10: I was surrounded by the German press and we were 256 00:13:10,760 --> 00:13:13,760 Speaker 10: there and Robert Habeck was talking about this cement plant 257 00:13:13,760 --> 00:13:17,360 Speaker 10: which was going to have carbon capture sort of built 258 00:13:17,400 --> 00:13:19,760 Speaker 10: on a facility built onto the side so that they 259 00:13:19,800 --> 00:13:23,280 Speaker 10: could capture the carbon from that facility, and the German 260 00:13:23,360 --> 00:13:26,600 Speaker 10: press was just really fascinated by what was going on, 261 00:13:26,640 --> 00:13:29,160 Speaker 10: and they were talking about how Robert Habeck had sort 262 00:13:29,160 --> 00:13:31,760 Speaker 10: of shifted, how it used to be anti carbon capture 263 00:13:31,800 --> 00:13:34,720 Speaker 10: but was now in favor of it, and it was 264 00:13:34,800 --> 00:13:36,760 Speaker 10: just really you know, they were just discussing this and 265 00:13:36,760 --> 00:13:39,960 Speaker 10: it was so fascinating to see how controversial it was 266 00:13:39,960 --> 00:13:43,760 Speaker 10: in Germany, while in Norway it's actually something that's quite accepted. 267 00:13:44,880 --> 00:13:46,880 Speaker 10: So that really got me interested in the subject. And 268 00:13:46,920 --> 00:13:48,439 Speaker 10: so I decided that it was going to be something 269 00:13:48,520 --> 00:13:50,040 Speaker 10: that was going to follow through the rest of the year, 270 00:13:50,160 --> 00:13:52,520 Speaker 10: and and I have done that, and then at this 271 00:13:52,559 --> 00:13:54,360 Speaker 10: point it was it felt like it was about time 272 00:13:54,360 --> 00:13:54,720 Speaker 10: to write a. 273 00:13:54,720 --> 00:13:57,640 Speaker 3: Story Okay, well, I mean carbon cuts showing stories long 274 00:13:57,679 --> 00:14:01,040 Speaker 3: associated with the oil and gas industry, but the projects 275 00:14:01,040 --> 00:14:03,400 Speaker 3: that you and your colleague Pretosorgo have been rising about 276 00:14:03,480 --> 00:14:04,480 Speaker 3: are slightly different. 277 00:14:04,520 --> 00:14:06,880 Speaker 2: How so well, and that. 278 00:14:06,840 --> 00:14:08,800 Speaker 10: Was what was sort of caught my attention because I 279 00:14:08,920 --> 00:14:11,240 Speaker 10: say it has been closely associated with oil and gas, 280 00:14:11,280 --> 00:14:14,200 Speaker 10: but in this case it was a cement factory, and 281 00:14:14,200 --> 00:14:16,240 Speaker 10: that's what we started writing about. And what's sort of 282 00:14:16,280 --> 00:14:19,200 Speaker 10: a little bit more acceptable in Germany is having these 283 00:14:19,400 --> 00:14:21,720 Speaker 10: sectors that are hard to abate. So we're talking steel, 284 00:14:21,960 --> 00:14:25,400 Speaker 10: we're talking fertilizer, we're talking cement. With these are sorts 285 00:14:25,440 --> 00:14:29,560 Speaker 10: of industries where the actual production of the product itself 286 00:14:29,600 --> 00:14:31,760 Speaker 10: creates emission. So it's not you can't just plug in 287 00:14:31,760 --> 00:14:35,120 Speaker 10: a wind farm and you know, cut the emissions from 288 00:14:35,160 --> 00:14:38,560 Speaker 10: the facility. And those sectors are really struggling with the 289 00:14:38,680 --> 00:14:42,200 Speaker 10: challenge of how to address carbon emissions and climate change 290 00:14:42,360 --> 00:14:44,960 Speaker 10: and meet the targets that we set across Europe and 291 00:14:45,000 --> 00:14:48,480 Speaker 10: the world. And so for those sectors, carbon capture is 292 00:14:48,960 --> 00:14:52,040 Speaker 10: looking like one of the best options. And then you 293 00:14:52,080 --> 00:14:55,040 Speaker 10: have a country like Germany which is coming around to 294 00:14:55,040 --> 00:14:58,080 Speaker 10: the idea of using carbon capture but doesn't really necessarily 295 00:14:58,160 --> 00:15:02,040 Speaker 10: like the idea of having carbon capture underground under their 296 00:15:02,040 --> 00:15:05,680 Speaker 10: own feet in Germany, and so then that begs the question, well, 297 00:15:05,680 --> 00:15:07,880 Speaker 10: where are we going to put this carbon? Well, you 298 00:15:07,920 --> 00:15:09,640 Speaker 10: have a country like Norway that is quite happy to 299 00:15:09,680 --> 00:15:11,720 Speaker 10: say how about under the north Sea? How about shipping 300 00:15:11,760 --> 00:15:14,760 Speaker 10: it to us? And so that is that sort of 301 00:15:14,760 --> 00:15:18,040 Speaker 10: introduced this idea of developing a carbon network across Europe. 302 00:15:18,440 --> 00:15:20,880 Speaker 3: What are the biggest hurdles from making these kind of 303 00:15:21,000 --> 00:15:24,480 Speaker 3: hubs work? Is there a unified approach around this? 304 00:15:25,960 --> 00:15:28,920 Speaker 10: Well, I mean I think probably when I spoke to 305 00:15:28,920 --> 00:15:31,400 Speaker 10: Ecuinor about this sort of initially early in my reporting, 306 00:15:31,480 --> 00:15:32,800 Speaker 10: one of the things they were saying is, you know, 307 00:15:32,880 --> 00:15:37,120 Speaker 10: the technology for the actual storage and transport is something 308 00:15:37,160 --> 00:15:39,640 Speaker 10: that we're they that the oil and gas sector is 309 00:15:39,680 --> 00:15:42,320 Speaker 10: quite familiar with. Equinor has actually been doing it since 310 00:15:42,320 --> 00:15:45,480 Speaker 10: the nineties and it's actually sort of about twenty seven 311 00:15:45,520 --> 00:15:48,840 Speaker 10: million tons of carbon under the north Sea already at 312 00:15:48,840 --> 00:15:53,160 Speaker 10: two of their different oil fields. But it's the actual 313 00:15:53,400 --> 00:15:56,400 Speaker 10: capturing of the of the carbon at the different facilities 314 00:15:56,440 --> 00:15:58,840 Speaker 10: that is something that needs that needs to be sort 315 00:15:58,840 --> 00:16:03,400 Speaker 10: of worked through. Its complicated. It involves often separating the 316 00:16:03,440 --> 00:16:06,560 Speaker 10: carbon out from the flu gas, and again it depends 317 00:16:06,600 --> 00:16:10,880 Speaker 10: on the facility heating it, cooling it, liquefying it, So 318 00:16:10,920 --> 00:16:12,680 Speaker 10: that's one aspect of it. Then you actually have the 319 00:16:12,680 --> 00:16:17,120 Speaker 10: whole transport network, and at this point, transporting carbon dioxidic 320 00:16:17,200 --> 00:16:21,040 Speaker 10: cross international borders, it's considered a waste product when in 321 00:16:21,080 --> 00:16:23,680 Speaker 10: this case it's not in food. Sometimes it's transported for food, 322 00:16:23,720 --> 00:16:26,040 Speaker 10: but in this case it's a waste product, and so 323 00:16:26,360 --> 00:16:30,400 Speaker 10: the legality of that is still not entirely clear. So 324 00:16:30,440 --> 00:16:32,880 Speaker 10: that's one of the hurdles, the legal hurdles to actually 325 00:16:32,920 --> 00:16:35,120 Speaker 10: allow it to be sent across borders. And then of 326 00:16:35,120 --> 00:16:38,600 Speaker 10: course the all the issues of actually laying the pipe 327 00:16:38,680 --> 00:16:41,400 Speaker 10: and you know who's going to pay for that, and 328 00:16:41,640 --> 00:16:44,120 Speaker 10: costs associated with inflation, all those sort of things that 329 00:16:44,680 --> 00:16:45,480 Speaker 10: all come into play. 330 00:16:45,760 --> 00:16:47,800 Speaker 3: Yeah, it talk to us about you visited one of 331 00:16:47,840 --> 00:16:50,800 Speaker 3: these disease, the Northern Lights CO two terminal. 332 00:16:50,840 --> 00:16:53,720 Speaker 10: What's it like, Yeah, no, it was, and this is 333 00:16:53,760 --> 00:16:55,840 Speaker 10: the first, I mean, this is a global first. That's 334 00:16:55,840 --> 00:16:57,360 Speaker 10: why I really felt it was important to write this 335 00:16:57,400 --> 00:16:59,680 Speaker 10: story at this time because it's going to actually become 336 00:16:59,680 --> 00:17:03,680 Speaker 10: operational next year. You know this facility you arrived there, 337 00:17:03,680 --> 00:17:06,240 Speaker 10: there's a visitors center. It's apparently already had two thousand 338 00:17:06,240 --> 00:17:09,320 Speaker 10: and six hundred some visitors. These are people, a lot 339 00:17:09,359 --> 00:17:11,680 Speaker 10: of visitors apparently from Asia. This is not your sort 340 00:17:11,680 --> 00:17:14,720 Speaker 10: of tourist stop, not your Norwegian tourist destination. Go see 341 00:17:14,760 --> 00:17:17,119 Speaker 10: the Fjords, don't go to this place. But it was. 342 00:17:17,640 --> 00:17:20,360 Speaker 10: It's the facility that people are really interested in because 343 00:17:20,600 --> 00:17:25,920 Speaker 10: of you know, if it worked, you know, it could 344 00:17:25,960 --> 00:17:27,880 Speaker 10: be quite interesting. But you have a you have a 345 00:17:27,920 --> 00:17:30,040 Speaker 10: basically a dock where the ship will come in. It's 346 00:17:30,040 --> 00:17:31,760 Speaker 10: going to be a big one hundred and thirty meters ship. 347 00:17:32,160 --> 00:17:34,440 Speaker 10: The facility, there's four of them being built in China 348 00:17:34,520 --> 00:17:36,960 Speaker 10: right now, so that will dock there. It has it 349 00:17:37,000 --> 00:17:38,720 Speaker 10: will have tanks on board, It will have come from 350 00:17:38,760 --> 00:17:43,600 Speaker 10: a facility either the cement plant or a waste facility 351 00:17:43,960 --> 00:17:46,880 Speaker 10: with a liquidfied carbon on board. That will then get 352 00:17:47,119 --> 00:17:49,760 Speaker 10: put into a pipe. It goes to these different these 353 00:17:49,800 --> 00:17:53,800 Speaker 10: twelve different containers and then slowly but surely gets pumped 354 00:17:53,800 --> 00:17:58,640 Speaker 10: through one hundred kilometer pipeline out into a reservoir under 355 00:17:58,680 --> 00:18:01,160 Speaker 10: the northeast. So that's about two point six kilometers under 356 00:18:01,200 --> 00:18:03,679 Speaker 10: the north Sea. So and that's how sort of process 357 00:18:03,680 --> 00:18:06,920 Speaker 10: happens very slowly, so it's actually quite like a tidy 358 00:18:07,400 --> 00:18:10,440 Speaker 10: neat small little facility they have. They're doing phase one 359 00:18:10,560 --> 00:18:14,240 Speaker 10: now and then have phase two planned. But yeah, and 360 00:18:14,240 --> 00:18:15,840 Speaker 10: then it was under snow when I was there a 361 00:18:15,840 --> 00:18:18,639 Speaker 10: couple of weeks ago, but normally normally would be in 362 00:18:18,800 --> 00:18:21,280 Speaker 10: Bergen's wet, so it probably wouldn't have so much snow. 363 00:18:21,960 --> 00:18:24,760 Speaker 3: Okay, yeah, I mean it sounds absolutely fascinating. There are 364 00:18:24,800 --> 00:18:27,320 Speaker 3: critics of this technology though, that say that it's expensive, 365 00:18:27,680 --> 00:18:30,720 Speaker 3: extends the life of fossil fuels. How are those who 366 00:18:30,760 --> 00:18:33,800 Speaker 3: are supporting projects like this responding to those concerns? 367 00:18:34,480 --> 00:18:37,160 Speaker 10: Well, I think, I mean the biggest at this point. 368 00:18:37,200 --> 00:18:39,760 Speaker 10: I mean, I think the people who are proponents of CCSA, 369 00:18:39,880 --> 00:18:43,760 Speaker 10: we've let the climate change come go too far and 370 00:18:43,800 --> 00:18:45,800 Speaker 10: at this point you have to, Yeah, you know, you 371 00:18:45,840 --> 00:18:47,840 Speaker 10: have to. You have to take measures, even if you're 372 00:18:47,880 --> 00:18:50,639 Speaker 10: not necessarily ones that you even if it would be 373 00:18:50,640 --> 00:18:52,960 Speaker 10: better maybe to have abated it in the first place. 374 00:18:54,040 --> 00:18:56,000 Speaker 10: And there's I mean, there are the proponents would also 375 00:18:56,040 --> 00:18:59,000 Speaker 10: say that we know this works, I mean, or at 376 00:18:59,119 --> 00:19:01,680 Speaker 10: least if you look at what Equanor has done in 377 00:19:01,760 --> 00:19:04,240 Speaker 10: the in the North Sea, I mean, the carbon dox 378 00:19:04,280 --> 00:19:07,359 Speaker 10: that is sitting under under the seabed, and they have 379 00:19:07,480 --> 00:19:09,760 Speaker 10: seismic they have sort of a pretty good idea of it, 380 00:19:09,880 --> 00:19:13,920 Speaker 10: of how it happens, of how it behaves under the seabed. 381 00:19:15,200 --> 00:19:19,119 Speaker 10: Then there also would be critics around the actual cost 382 00:19:19,200 --> 00:19:21,000 Speaker 10: of it and whether this is the best way to 383 00:19:21,040 --> 00:19:25,480 Speaker 10: be using sort of scant resources. So and also maybe 384 00:19:25,480 --> 00:19:28,080 Speaker 10: there's other options for different for different sectors. I spoke 385 00:19:28,119 --> 00:19:30,320 Speaker 10: to a to a cement factory and they were talking 386 00:19:30,320 --> 00:19:33,600 Speaker 10: about sort of recycling cement and verious different options there. 387 00:19:33,880 --> 00:19:37,960 Speaker 10: But that's that's what the critics would probably pull out 388 00:19:38,000 --> 00:19:39,680 Speaker 10: as being the challenges. 389 00:19:40,960 --> 00:19:43,679 Speaker 3: This is Bloomberg Daybreak Europe, your morning brief on the 390 00:19:43,760 --> 00:19:46,800 Speaker 3: stories making news from London to Wall Street and beyond. 391 00:19:47,080 --> 00:19:50,240 Speaker 1: Look for us on your podcast feed every morning, on Apple, 392 00:19:50,400 --> 00:19:53,080 Speaker 1: Spotify and anywhere else you get your podcasts. 393 00:19:53,119 --> 00:19:56,160 Speaker 3: You can also listen live each morning on London Dab Radio, 394 00:19:56,200 --> 00:19:58,719 Speaker 3: the Bloomberg Business app, and Bloomberg dot Com. 395 00:19:58,920 --> 00:20:02,200 Speaker 1: Our flagship Neil station is also available on your Amazon 396 00:20:02,240 --> 00:20:06,880 Speaker 1: Alexa devices. 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