1 00:00:02,520 --> 00:00:13,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive 2 00:00:13,880 --> 00:00:17,680 Speaker 1: from coast to coast with Caroline Hyde and New York 3 00:00:17,960 --> 00:00:21,079 Speaker 1: and Vla Low in sent Francisco. 4 00:00:23,880 --> 00:00:25,640 Speaker 2: This is Bloomberg Tech coming up. 5 00:00:25,720 --> 00:00:28,920 Speaker 3: Netflix reaches an amended all cash agreement to buy Warner 6 00:00:28,920 --> 00:00:33,040 Speaker 3: Brothers Discovery studio and streaming business, aiming to expedite the sale. 7 00:00:33,120 --> 00:00:35,800 Speaker 4: Plus, we bring you some of our top tech conversations 8 00:00:35,840 --> 00:00:39,600 Speaker 4: from the World Economic Forum, CEOs from G forty two, Athropic, DeepMind, 9 00:00:39,680 --> 00:00:40,440 Speaker 4: and many more. 10 00:00:41,240 --> 00:00:45,120 Speaker 3: And VC firms continue piling into defense tech. This is 11 00:00:45,159 --> 00:00:49,600 Speaker 3: geopolitical tensions escalate between the US and Greenland. 12 00:00:49,200 --> 00:00:50,800 Speaker 5: And that takes us to the market. 13 00:00:50,880 --> 00:00:54,880 Speaker 4: Said, because the tussle over Greenland, the concerns around further 14 00:00:54,960 --> 00:00:57,560 Speaker 4: tariffs on Europe and what Europe's reaction to the United 15 00:00:57,560 --> 00:01:01,080 Speaker 4: States might be has got volatility higher and risk assets lower. 16 00:01:01,120 --> 00:01:03,400 Speaker 4: We're selling America again. Now's that off by one point 17 00:01:03,440 --> 00:01:06,520 Speaker 4: two percent, having its worst day in in over a month. 18 00:01:06,560 --> 00:01:08,080 Speaker 4: The S and p F I've found and wipes out 19 00:01:08,400 --> 00:01:11,000 Speaker 4: it's gains for the year, and you're seeing money move 20 00:01:11,040 --> 00:01:13,399 Speaker 4: into the havens such as gold, and what are you 21 00:01:13,440 --> 00:01:14,559 Speaker 4: looking at underneath the hood? 22 00:01:15,200 --> 00:01:18,080 Speaker 3: I'm looking at Netflix reaching an a mended agreement with 23 00:01:18,080 --> 00:01:21,600 Speaker 3: Warner Brothers Discovery for an all cash offer to buy 24 00:01:21,640 --> 00:01:24,760 Speaker 3: the studios and streaming businesses. And remember the plan is 25 00:01:24,760 --> 00:01:27,960 Speaker 3: for them to then spin off the legacy networks, and 26 00:01:28,000 --> 00:01:31,400 Speaker 3: this was the overhang. Paramount's argument was that its bid 27 00:01:31,480 --> 00:01:35,240 Speaker 3: was superior because of the stock component that had been 28 00:01:35,240 --> 00:01:38,840 Speaker 3: in Netflix's initial offer. Bloomberg reported last week that this 29 00:01:39,000 --> 00:01:41,400 Speaker 3: was going to happen, So it's confirmation that's where the 30 00:01:41,480 --> 00:01:44,440 Speaker 3: names involved are trading. There's still a lot more to come. 31 00:01:44,800 --> 00:01:47,720 Speaker 3: Of course, let's get the reaction and analysis to the 32 00:01:47,800 --> 00:01:51,400 Speaker 3: new offer with Getha Rangonaprom from Bloomberg Intelligence, and you 33 00:01:51,480 --> 00:01:55,040 Speaker 3: write two things in your research. The first that this 34 00:01:55,160 --> 00:01:58,120 Speaker 3: ramps up the pressure on Paramount, Getha, but also it 35 00:01:58,240 --> 00:02:01,400 Speaker 3: raises the stakes for Netflix with why you think this 36 00:02:01,480 --> 00:02:02,960 Speaker 3: ramps up the pressure on Paramount. 37 00:02:04,080 --> 00:02:06,760 Speaker 6: Yeah, this really ramps up the pressure on Paramount because 38 00:02:06,800 --> 00:02:08,840 Speaker 6: really the ball is now in their court. They've been 39 00:02:08,960 --> 00:02:12,639 Speaker 6: arguing for the longest time that the Netflix offer obviously 40 00:02:12,760 --> 00:02:15,320 Speaker 6: is not that great because it had that stock component. 41 00:02:15,680 --> 00:02:19,000 Speaker 6: Now obviously Netflix making it an all cash deal, and 42 00:02:19,040 --> 00:02:21,600 Speaker 6: now really what this hinges on is the value of 43 00:02:21,760 --> 00:02:24,519 Speaker 6: the cable networks business. So remember Netflix is only buying 44 00:02:24,560 --> 00:02:27,440 Speaker 6: the studio and streaming assets. There is still that cable 45 00:02:27,480 --> 00:02:30,720 Speaker 6: networks business from Warner which they expect to spin out. 46 00:02:30,720 --> 00:02:33,000 Speaker 6: And if you read a filing that was put out 47 00:02:33,000 --> 00:02:37,480 Speaker 6: by Warner today, they have those cable networks valued anywhere 48 00:02:37,480 --> 00:02:40,079 Speaker 6: from about one and a half dollars depending on how 49 00:02:40,080 --> 00:02:42,920 Speaker 6: you value it per share, going up to as high 50 00:02:43,080 --> 00:02:45,760 Speaker 6: ed as about seven dollars a share. So again I 51 00:02:45,760 --> 00:02:48,560 Speaker 6: think they believe that they can actually extract more value 52 00:02:48,600 --> 00:02:50,519 Speaker 6: if they go ahead and they complete that spin out. 53 00:02:50,760 --> 00:02:53,760 Speaker 6: So now really all of the anti this is really 54 00:02:53,840 --> 00:02:55,720 Speaker 6: kind of up the anti for paramount. They have to 55 00:02:55,840 --> 00:02:59,000 Speaker 6: raise their bid significantly, I would think in order to 56 00:02:59,040 --> 00:02:59,959 Speaker 6: sway Warner's board. 57 00:03:00,480 --> 00:03:02,720 Speaker 5: He's a using thirty two dollars as the magic number. 58 00:03:02,720 --> 00:03:06,960 Speaker 6: Why I actually think so thirty two we think is 59 00:03:07,040 --> 00:03:09,960 Speaker 6: you know, a starting point to get Warner back to 60 00:03:10,000 --> 00:03:13,519 Speaker 6: the board, just kind of looking at the value of 61 00:03:13,560 --> 00:03:18,000 Speaker 6: the networks, looking at possible you know, termination fees, financing costs. 62 00:03:18,320 --> 00:03:21,640 Speaker 6: But really again we think that you know, Warner really 63 00:03:21,680 --> 00:03:24,360 Speaker 6: looks at its cable networks business. Yes, there is no 64 00:03:24,520 --> 00:03:27,440 Speaker 6: doubt that this is a declining business. It faces a 65 00:03:27,440 --> 00:03:29,680 Speaker 6: lot of secular pressure from cord cutting. But at the 66 00:03:29,680 --> 00:03:31,920 Speaker 6: same time, I mean, they do have some great assets. 67 00:03:31,919 --> 00:03:34,160 Speaker 6: They have international exposure. You know, they can spend, they 68 00:03:34,160 --> 00:03:36,760 Speaker 6: can possibly selsion, and so they think they can extract 69 00:03:36,760 --> 00:03:38,080 Speaker 6: a lot of value, which is why we think that 70 00:03:38,560 --> 00:03:40,360 Speaker 6: paramount might need to go up to about thirty four 71 00:03:40,400 --> 00:03:43,880 Speaker 6: dollars to fully kind of get on on board. 72 00:03:44,440 --> 00:03:47,560 Speaker 3: Keith Again, Netflix adjusting to an all cash offer in 73 00:03:47,680 --> 00:03:50,160 Speaker 3: part because its own stock that was part of its 74 00:03:50,200 --> 00:03:54,120 Speaker 3: initial offer has been under pressure since this all started. 75 00:03:54,520 --> 00:03:57,800 Speaker 3: We get earnings after the bell. What are you expecting 76 00:03:57,840 --> 00:04:00,520 Speaker 3: to hear from Netflix and what to invest need to 77 00:04:00,560 --> 00:04:03,080 Speaker 3: hear to give them confidence that this is the right 78 00:04:03,120 --> 00:04:03,640 Speaker 3: path forward. 79 00:04:04,880 --> 00:04:07,640 Speaker 6: Yeah, what really investors need to hear is, first of all, 80 00:04:08,000 --> 00:04:11,000 Speaker 6: I think everybody's looking for really good four Q numbers 81 00:04:11,280 --> 00:04:16,200 Speaker 6: and that should I think that you should. Absolutely. Netflix 82 00:04:16,200 --> 00:04:18,239 Speaker 6: would absolutely deliver on that. But I think the major 83 00:04:18,320 --> 00:04:20,120 Speaker 6: thing that investors are going to focus on ed is 84 00:04:20,160 --> 00:04:22,839 Speaker 6: going to be guidance for twenty twenty six. The magic 85 00:04:22,920 --> 00:04:25,839 Speaker 6: number that consensus is looking at as thirteen percent revenue growth. 86 00:04:26,040 --> 00:04:28,600 Speaker 6: Should Netflix guide to anything lower than that, I think 87 00:04:28,600 --> 00:04:29,280 Speaker 6: they are going to. 88 00:04:29,200 --> 00:04:29,840 Speaker 5: Be in trouble. 89 00:04:30,000 --> 00:04:31,840 Speaker 4: Keathan Rank and Athan is always great to get your 90 00:04:31,880 --> 00:04:34,680 Speaker 4: take and your analysis, which is so instant when we 91 00:04:34,720 --> 00:04:37,280 Speaker 4: have these breaking news. We appreciate it from Blueberg Intelligence. 92 00:04:37,720 --> 00:04:40,640 Speaker 4: Let's stay with the context of earnings, with where MAGS 93 00:04:40,640 --> 00:04:43,040 Speaker 4: seven names are. Whether they're set of course to begin 94 00:04:43,080 --> 00:04:46,200 Speaker 4: reporting next week. Is the big ones like Microsoft, Tesla, 95 00:04:46,400 --> 00:04:49,320 Speaker 4: Meta kicking things off on Wednesday, but of course Netflix 96 00:04:49,360 --> 00:04:52,719 Speaker 4: is tonight. Tiffany Way, Columbi, a thread Needle senior portfolio manager. 97 00:04:52,600 --> 00:04:53,120 Speaker 5: Joins us. 98 00:04:53,200 --> 00:04:55,720 Speaker 4: As we are on the cusp of earnings and as 99 00:04:55,760 --> 00:05:00,280 Speaker 4: geopolitical headwinds seem to just shift the narrative entirely. When 100 00:05:00,320 --> 00:05:03,240 Speaker 4: you see down days like today, should people making the 101 00:05:03,240 --> 00:05:04,800 Speaker 4: most of it, buying into weakness. 102 00:05:05,240 --> 00:05:07,520 Speaker 7: I think that's the case. The backdrop for stocks still 103 00:05:07,560 --> 00:05:10,680 Speaker 7: looks very good. Obviously, the headlines over the weekend are 104 00:05:10,720 --> 00:05:13,159 Speaker 7: creating some volatility, and I'm not surprised to see some 105 00:05:13,240 --> 00:05:15,560 Speaker 7: selling just given stocks have been very resilient. But the 106 00:05:15,560 --> 00:05:17,520 Speaker 7: backdrop for the economy and I think the market is 107 00:05:17,560 --> 00:05:19,960 Speaker 7: still very strong, So yeah, I think this should be 108 00:05:20,000 --> 00:05:22,360 Speaker 7: an opportunity and then you know, earnings coming up will 109 00:05:22,360 --> 00:05:24,520 Speaker 7: bring the focus back to fundamentals. 110 00:05:24,480 --> 00:05:25,479 Speaker 5: Of the fundamentals good. 111 00:05:25,839 --> 00:05:28,800 Speaker 7: I think they should be pretty good, you know, demand 112 00:05:28,839 --> 00:05:31,600 Speaker 7: especially you mentioned the MAG seven and the hyperskillers. I 113 00:05:31,640 --> 00:05:34,919 Speaker 7: think we're going to see great numbers out of those companies. Importantly, 114 00:05:34,960 --> 00:05:37,559 Speaker 7: I think we'll probably continue to see very strong capex numbers, 115 00:05:37,560 --> 00:05:39,360 Speaker 7: which is important for a lot of the tech sector. 116 00:05:40,040 --> 00:05:42,760 Speaker 7: So I think those should be good indicators for rest 117 00:05:42,800 --> 00:05:43,320 Speaker 7: of the market. 118 00:05:44,440 --> 00:05:46,760 Speaker 3: The reality right now, Tiffany, is that that texts a 119 00:05:46,800 --> 00:05:49,520 Speaker 3: big underperformer in the session. Right it's a moment in time, 120 00:05:49,880 --> 00:05:52,320 Speaker 3: but the S and B five hundreds wiped out its 121 00:05:52,360 --> 00:05:57,880 Speaker 3: gains from twenty twenty six. This is escalating, not de escalating. 122 00:05:58,000 --> 00:06:01,760 Speaker 3: Where do you expect markets go from here? Based on 123 00:06:01,800 --> 00:06:05,200 Speaker 3: the headlines that have come out from President Trump and 124 00:06:05,240 --> 00:06:07,000 Speaker 3: what's happening with Greenland. 125 00:06:06,960 --> 00:06:09,400 Speaker 7: Yeah, I think we could see some more consolidation, maybe 126 00:06:09,480 --> 00:06:12,800 Speaker 7: a few points lower in the market. You know, certainly 127 00:06:12,880 --> 00:06:15,800 Speaker 7: volatility might lead to additional selling, but again I think 128 00:06:15,800 --> 00:06:17,919 Speaker 7: this is a good opportunity, and as we get further 129 00:06:17,960 --> 00:06:20,039 Speaker 7: into earnings, I think things will stabilize. 130 00:06:20,680 --> 00:06:23,480 Speaker 3: The biggest declines are in the biggest name, some of 131 00:06:23,480 --> 00:06:26,680 Speaker 3: the MAG seven names. Is that just general sort of anxiety, 132 00:06:27,320 --> 00:06:31,719 Speaker 3: geopolitical anxiety as opposed to some direct read through where 133 00:06:32,120 --> 00:06:35,040 Speaker 3: if this tariff threat is enacted, it is those names 134 00:06:35,040 --> 00:06:35,880 Speaker 3: that are hardest hit. 135 00:06:36,640 --> 00:06:38,560 Speaker 7: I think that's I think that's fair for today. I 136 00:06:38,560 --> 00:06:40,640 Speaker 7: think it's just a general selling of the market. We're 137 00:06:40,680 --> 00:06:43,479 Speaker 7: not seeing additional selling in names and might be hardest 138 00:06:43,520 --> 00:06:44,920 Speaker 7: hit by the tariffs. We don't have a ton of 139 00:06:44,920 --> 00:06:47,359 Speaker 7: additional details and what these tariffs might look like, so 140 00:06:47,400 --> 00:06:49,360 Speaker 7: I think this is just a reflection of broader selling 141 00:06:49,400 --> 00:06:51,719 Speaker 7: in the market that's hitting the largest names the most today. 142 00:06:52,240 --> 00:06:53,040 Speaker 5: Some are getting love. 143 00:06:53,520 --> 00:06:56,120 Speaker 4: Intel is actually getting loved at the start of the year. 144 00:06:56,160 --> 00:06:59,080 Speaker 4: More broadly, we seem to be betting once again, not 145 00:06:59,200 --> 00:07:02,520 Speaker 4: just on the GP but also CPU for everything around 146 00:07:02,520 --> 00:07:04,800 Speaker 4: AI and they still going to be a winners. And 147 00:07:04,880 --> 00:07:06,640 Speaker 4: how nuanced you need to get on name. 148 00:07:06,520 --> 00:07:09,159 Speaker 7: By name, Yeah, I think we're definitely seeing people try 149 00:07:09,200 --> 00:07:11,800 Speaker 7: to pick spots outside of the main winners so far, 150 00:07:11,920 --> 00:07:15,000 Speaker 7: so outside of the net the videos and the broad cooms, 151 00:07:15,040 --> 00:07:17,160 Speaker 7: trying to look for other ways to play the AI trade. 152 00:07:17,200 --> 00:07:19,480 Speaker 7: Intel has been a case of that. We've seen the 153 00:07:19,480 --> 00:07:22,680 Speaker 7: semiconductor equipment stocks have done well so far to start 154 00:07:22,680 --> 00:07:24,360 Speaker 7: the year, and the memory stocks are also ways that 155 00:07:24,400 --> 00:07:28,280 Speaker 7: people have tried to play this sort of broadening AI exposure. Intel, 156 00:07:28,320 --> 00:07:30,240 Speaker 7: I think is a trickier one because they do still 157 00:07:30,240 --> 00:07:32,520 Speaker 7: have trouble with their foundry business. But I think there's 158 00:07:32,560 --> 00:07:35,960 Speaker 7: definitely some some other opportunities where investors are looking for 159 00:07:36,000 --> 00:07:38,360 Speaker 7: other ways to play the AI the AI trade. 160 00:07:38,360 --> 00:07:40,280 Speaker 5: Are you looking in other ways to play the AI trade? 161 00:07:40,400 --> 00:07:42,440 Speaker 4: In video is such an important part of some of 162 00:07:42,440 --> 00:07:45,360 Speaker 4: the portfolios you run. Should people be expanding or is 163 00:07:45,960 --> 00:07:48,560 Speaker 4: still previous winner is going to keep on giving in 164 00:07:48,600 --> 00:07:49,360 Speaker 4: twenty two to six. 165 00:07:49,480 --> 00:07:52,240 Speaker 7: Yeah, I think the fundamentals for video are still very good. 166 00:07:52,600 --> 00:07:54,280 Speaker 7: But I think it makes sense that people are looking 167 00:07:54,280 --> 00:07:56,120 Speaker 7: for what the next leg of the value trade may 168 00:07:56,160 --> 00:07:58,320 Speaker 7: be for AI. So we're certainly looking at other parts 169 00:07:58,320 --> 00:08:00,600 Speaker 7: of tech like the semi caap equipment company, but also 170 00:08:00,680 --> 00:08:03,720 Speaker 7: companies that are involved in the infrastructure build out for AI, 171 00:08:03,800 --> 00:08:05,239 Speaker 7: so things like electrical reatment. 172 00:08:06,120 --> 00:08:08,679 Speaker 3: Tying that all together please, Tiffany, then you know next 173 00:08:08,680 --> 00:08:11,800 Speaker 3: week is huge. What are the data points that you 174 00:08:11,880 --> 00:08:15,800 Speaker 3: look for when those biggest technology names have earnings? Of course, 175 00:08:16,000 --> 00:08:19,360 Speaker 3: we've studied capital expenditure closely, but we're trying to gage 176 00:08:19,360 --> 00:08:21,120 Speaker 3: this time, like when does it transition to you guys 177 00:08:21,200 --> 00:08:24,400 Speaker 3: saying we need to see really big top or bottom 178 00:08:24,400 --> 00:08:27,680 Speaker 3: line growth to feel confident that this AI thing is real. 179 00:08:28,240 --> 00:08:28,440 Speaker 2: Yeah. 180 00:08:28,480 --> 00:08:31,080 Speaker 7: I think especially for the largest hyperscalar names, we need 181 00:08:31,120 --> 00:08:34,360 Speaker 7: to see continued acceleration and growth of the cloud businesses. 182 00:08:35,320 --> 00:08:37,480 Speaker 7: And then we also need to see the CAPEX numbers 183 00:08:37,520 --> 00:08:40,439 Speaker 7: remain stable or higher for the year. And I think 184 00:08:40,480 --> 00:08:42,719 Speaker 7: those are kind of the two large indicators that we'll 185 00:08:42,720 --> 00:08:43,840 Speaker 7: be looking at from those companies. 186 00:08:43,880 --> 00:08:48,440 Speaker 3: In particular, which of the world's technology companies are you 187 00:08:48,480 --> 00:08:50,440 Speaker 3: going to be paying most attention to, Tiffany? 188 00:08:51,400 --> 00:08:53,640 Speaker 7: I think in the near term it's you know, the 189 00:08:54,240 --> 00:08:58,320 Speaker 7: mag seven and especially Amazon, Microsoft, Google and then Meta 190 00:08:58,320 --> 00:09:00,920 Speaker 7: also which had a big capex announcement last quarter or so, 191 00:09:00,960 --> 00:09:01,760 Speaker 7: all of coursing. 192 00:09:01,520 --> 00:09:02,400 Speaker 5: To see what they have to say. 193 00:09:02,480 --> 00:09:06,240 Speaker 4: Yeah, I mean we had nice tea leaves already. If 194 00:09:06,240 --> 00:09:09,000 Speaker 4: you're looking at earning some TSMC and that's something that 195 00:09:09,000 --> 00:09:13,960 Speaker 4: you've been looking at. Semi conductor equipment manufacturing, how much 196 00:09:14,040 --> 00:09:16,600 Speaker 4: resilience did you hear from that company and how much 197 00:09:16,760 --> 00:09:18,960 Speaker 4: do you just put AI bubble warries. 198 00:09:18,600 --> 00:09:19,440 Speaker 5: To one side. 199 00:09:19,720 --> 00:09:21,640 Speaker 7: Yeah, I mean they commented that they don't think that 200 00:09:21,679 --> 00:09:23,719 Speaker 7: there's a bubble and AI that they're seeing a ton 201 00:09:23,760 --> 00:09:26,520 Speaker 7: of good demand from their customers, and I think that's 202 00:09:26,520 --> 00:09:29,240 Speaker 7: reflective of the entire ecosystem for AI right now, and 203 00:09:29,280 --> 00:09:31,280 Speaker 7: that's a great indicator for again, like you mentioned the 204 00:09:31,320 --> 00:09:34,680 Speaker 7: semiicap equipment names, and also a good indicator of demand 205 00:09:34,679 --> 00:09:37,000 Speaker 7: we're seeing from memory companies which are part of the 206 00:09:37,080 --> 00:09:39,319 Speaker 7: value chain as well, Tiffany. 207 00:09:39,360 --> 00:09:42,319 Speaker 3: One of the things that's come back out of Davos 208 00:09:42,440 --> 00:09:45,440 Speaker 3: is the idea of whether America should or should not 209 00:09:45,480 --> 00:09:48,920 Speaker 3: allow technology to be exported to China. You know, when 210 00:09:48,960 --> 00:09:51,480 Speaker 3: you're coming up through the ranks of Bloemberg Television, you 211 00:09:51,559 --> 00:09:53,960 Speaker 3: kind of learn about China as the engine room of 212 00:09:53,960 --> 00:09:56,520 Speaker 3: the world economy. And I've always been curious to ask 213 00:09:56,559 --> 00:09:59,960 Speaker 3: you how much you worry about that, the balance between 214 00:10:00,240 --> 00:10:04,480 Speaker 3: to accessing that market and the competitive risks in exporting 215 00:10:04,480 --> 00:10:07,079 Speaker 3: technology and national security risks to a market like China. 216 00:10:07,720 --> 00:10:09,600 Speaker 7: Yeah, I think this is a very tricky one, right 217 00:10:09,600 --> 00:10:12,240 Speaker 7: because we want to keep our dominance in AI and 218 00:10:12,280 --> 00:10:15,280 Speaker 7: technology and development of new technology, but we also don't 219 00:10:15,280 --> 00:10:18,800 Speaker 7: want to force China's hand to sort of replicate some 220 00:10:18,840 --> 00:10:22,280 Speaker 7: of our technologies or develop their own technologies. So keeping them, 221 00:10:22,480 --> 00:10:24,800 Speaker 7: you know, to some extent, dependent on our companies is 222 00:10:24,840 --> 00:10:27,760 Speaker 7: also an interesting balance to strike. So honestly, this is 223 00:10:28,400 --> 00:10:29,640 Speaker 7: a very tricky one to figure out. 224 00:10:30,800 --> 00:10:32,720 Speaker 3: Tiffany Wade of Columbia, Fred need or great to have 225 00:10:32,760 --> 00:10:33,640 Speaker 3: you on Bloomberg Tech. 226 00:10:33,720 --> 00:10:34,560 Speaker 2: Thank you very much. 227 00:10:34,600 --> 00:10:34,720 Speaker 8: Now. 228 00:10:34,760 --> 00:10:36,800 Speaker 2: Bloomberg is in Davos. 229 00:10:36,400 --> 00:10:39,360 Speaker 3: This week speaking to leaders across finance and tech at 230 00:10:39,360 --> 00:10:43,240 Speaker 3: the World Economic Forum. Coinbased CEO Brian Armstrong is speaking 231 00:10:43,440 --> 00:10:44,640 Speaker 3: with Bloomberg's Emily Chan. 232 00:10:44,920 --> 00:10:47,720 Speaker 5: Listen to this the flight risk concern. 233 00:10:48,200 --> 00:10:50,840 Speaker 9: Yeah, so that's certainly one of the core parts of 234 00:10:50,880 --> 00:10:53,920 Speaker 9: the debate. I think that some of the bank CEOs 235 00:10:53,920 --> 00:10:56,120 Speaker 9: I've spoken with have kind of said, hey, we have 236 00:10:56,240 --> 00:11:00,560 Speaker 9: this really high regulatory burden for being a bank, and 237 00:11:00,960 --> 00:11:02,800 Speaker 9: what you're doing kind of looks like a bank, and 238 00:11:02,840 --> 00:11:04,400 Speaker 9: so we think it's super unfair you should have to 239 00:11:04,440 --> 00:11:07,520 Speaker 9: have a bank license too. And what I tell them is, well, 240 00:11:07,559 --> 00:11:10,240 Speaker 9: we're not doing something very important that you do. We 241 00:11:10,280 --> 00:11:13,440 Speaker 9: do not do fractional reserve lending, which means, for those 242 00:11:13,440 --> 00:11:15,280 Speaker 9: who don't know, you know, at a bank you deposit 243 00:11:15,320 --> 00:11:18,640 Speaker 9: your funds, they're not keeping your money there, they're actually 244 00:11:18,679 --> 00:11:20,960 Speaker 9: lending it out and earning interest on that, and then 245 00:11:21,000 --> 00:11:23,720 Speaker 9: they pay you a very small percentage of that. Like 246 00:11:23,760 --> 00:11:26,640 Speaker 9: the average savings account makes like fourteen basis points or something, 247 00:11:27,080 --> 00:11:28,560 Speaker 9: and that's called net interest margin. 248 00:11:28,600 --> 00:11:30,040 Speaker 2: And that's the whole bank business model. 249 00:11:30,040 --> 00:11:32,200 Speaker 9: And so that's why they have such high regulatory burden, 250 00:11:32,400 --> 00:11:34,040 Speaker 9: because there can be a run on the bank, Like 251 00:11:34,080 --> 00:11:36,920 Speaker 9: your money is not all there in a crypto world, 252 00:11:37,880 --> 00:11:40,559 Speaker 9: there's a one hundred percent reserve, so all your money 253 00:11:40,600 --> 00:11:40,880 Speaker 9: is there. 254 00:11:40,920 --> 00:11:43,760 Speaker 2: It eliminates this entire category of risk around a bank run. 255 00:11:44,080 --> 00:11:46,360 Speaker 9: No such thing as possible if there's one hundred percent 256 00:11:46,400 --> 00:11:48,920 Speaker 9: of the money there. And so we don't need a 257 00:11:48,920 --> 00:11:52,000 Speaker 9: bank license. We're regulated by the SEC, the CFTC. We 258 00:11:53,080 --> 00:11:55,040 Speaker 9: you know, we have a National Trust Charter, like there's 259 00:11:55,040 --> 00:11:57,880 Speaker 9: different entities and stable cooin issuers can operate under these 260 00:11:57,920 --> 00:12:01,800 Speaker 9: models as well. And so we've kind of said, you know, 261 00:12:02,040 --> 00:12:05,280 Speaker 9: we don't need a bank license. That's what currently already 262 00:12:05,280 --> 00:12:07,880 Speaker 9: exists in the law. The Genius Act even enshrined that further. 263 00:12:08,400 --> 00:12:10,960 Speaker 9: And so there has to be some other solution here. 264 00:12:11,160 --> 00:12:12,720 Speaker 9: How do we flip the banks from thinking of this 265 00:12:12,720 --> 00:12:15,040 Speaker 9: as a threat to an opportunity where we can all 266 00:12:15,040 --> 00:12:15,400 Speaker 9: go win. 267 00:12:16,000 --> 00:12:20,640 Speaker 10: Let's talk about the opportunity. You know, we started off 268 00:12:20,640 --> 00:12:23,360 Speaker 10: talking about how crypto has had a lot of momentum lately. 269 00:12:23,800 --> 00:12:25,760 Speaker 10: A lot of that was when crypto was on a tear. 270 00:12:25,840 --> 00:12:28,240 Speaker 10: The markets have definitely pulled back over the last couple 271 00:12:28,280 --> 00:12:30,520 Speaker 10: of months. So here, I know this is always your 272 00:12:30,520 --> 00:12:33,160 Speaker 10: favorite question, but is winter coming? 273 00:12:35,080 --> 00:12:37,760 Speaker 9: Well, there's always short term fluctuations in crypto, but I 274 00:12:37,800 --> 00:12:39,760 Speaker 9: think you know, if you look over the last two years, 275 00:12:39,960 --> 00:12:43,280 Speaker 9: Bitcoin's up like one hundred percent, pretty great outcome for 276 00:12:43,280 --> 00:12:45,920 Speaker 9: anybody who invested. You know, I've said publicly I think 277 00:12:45,920 --> 00:12:48,199 Speaker 9: that bitcoin could hit a million dollars by twenty thirty. 278 00:12:48,360 --> 00:12:49,520 Speaker 2: I still think that's true. 279 00:12:49,720 --> 00:12:52,440 Speaker 9: So whatever happens in any given week or month, you know, 280 00:12:52,440 --> 00:12:53,840 Speaker 9: we try it to track it too much. 281 00:12:54,679 --> 00:12:56,520 Speaker 2: It's the longer term trend that I think is interesting. 282 00:12:56,559 --> 00:12:58,280 Speaker 10: So bitcoin hit an all time high last year one 283 00:12:58,320 --> 00:13:00,880 Speaker 10: twenty five, one hundred twenty five thous What about twenty 284 00:13:00,880 --> 00:13:02,600 Speaker 10: twenty six. Let's do a shorter term for horizon. 285 00:13:02,640 --> 00:13:04,240 Speaker 5: Where is it going in twenty twenty six? 286 00:13:04,360 --> 00:13:05,960 Speaker 9: Well, you know, I don't like to make short term 287 00:13:05,960 --> 00:13:09,040 Speaker 9: predictions because who knows it's it's the market, you know, 288 00:13:09,200 --> 00:13:12,160 Speaker 9: short term voting machine, long term wing machine, or whatever. 289 00:13:12,240 --> 00:13:15,520 Speaker 9: So I think if I don't think people should be 290 00:13:15,559 --> 00:13:18,800 Speaker 9: like day trading, you know, unless you really want to 291 00:13:18,840 --> 00:13:20,640 Speaker 9: do that. I'm more of a buy and hold kind 292 00:13:20,640 --> 00:13:22,880 Speaker 9: of guy for the long term, and I think that 293 00:13:23,280 --> 00:13:25,679 Speaker 9: the cool thing about bitcoin is that it doesn't unlike 294 00:13:25,679 --> 00:13:29,960 Speaker 9: fiat currency, there's no money printer, right, so the supply 295 00:13:30,000 --> 00:13:30,680 Speaker 9: of it is fixed. 296 00:13:30,760 --> 00:13:31,200 Speaker 2: It's fine. 297 00:13:31,360 --> 00:13:34,320 Speaker 4: Coinbay CEO Brown arms from there, along with Bloomberg Semoni Chang. 298 00:13:34,360 --> 00:13:36,640 Speaker 5: You can watch the full fast Side chat. Just go 299 00:13:36,720 --> 00:13:38,440 Speaker 5: to life, go on your Bloomberg terminal. 300 00:13:38,480 --> 00:13:42,160 Speaker 4: Meanwhile, coming up willing you are Exclusive Conversation and Peng Shao, 301 00:13:42,200 --> 00:13:43,559 Speaker 4: he's the CEO of G forty two. 302 00:13:43,840 --> 00:13:47,199 Speaker 5: We've got to discuss the UAE's role in global AI development. 303 00:13:47,440 --> 00:13:48,719 Speaker 5: That's next. It's a bloombag tech. 304 00:14:02,320 --> 00:14:04,640 Speaker 4: Back to Davos now where Blue most jamano Be said 305 00:14:04,720 --> 00:14:07,360 Speaker 4: she sat down with pengshaw Is the CEO G forty two. 306 00:14:07,720 --> 00:14:10,960 Speaker 4: They discussed building AI infrastructure and the UAE's role in 307 00:14:11,000 --> 00:14:13,400 Speaker 4: the global AI development. They spoke on the sidelines in 308 00:14:13,400 --> 00:14:16,640 Speaker 4: the World Economic Forum, of course, starting with the chip imports, 309 00:14:16,800 --> 00:14:18,559 Speaker 4: and made existing restrictions. 310 00:14:18,040 --> 00:14:18,680 Speaker 5: To take a listener. 311 00:14:19,960 --> 00:14:25,400 Speaker 11: In this complex world of AI, nothing is straightforward. But 312 00:14:25,640 --> 00:14:29,520 Speaker 11: I must say that through the past half year since 313 00:14:29,640 --> 00:14:34,480 Speaker 11: the May Summit in Aberdabi. We've made a tremendous progress. 314 00:14:35,080 --> 00:14:37,480 Speaker 11: I'm happy to share with you that the first batch 315 00:14:37,520 --> 00:14:40,440 Speaker 11: of the most advanced AI chips will be shipped the 316 00:14:40,560 --> 00:14:43,280 Speaker 11: UE probably in the next couple of months. 317 00:14:43,000 --> 00:14:44,560 Speaker 5: And those are mostly in video chips. 318 00:14:44,880 --> 00:14:47,520 Speaker 11: They are mostly in video. But we also received the 319 00:14:47,640 --> 00:14:50,960 Speaker 11: expert license for Cerebus Chip, which is a company way 320 00:14:51,000 --> 00:14:53,880 Speaker 11: back to start up in California, and also a MD. 321 00:14:54,120 --> 00:14:56,960 Speaker 5: Yeah, did you have to give security assurances to the US? 322 00:14:57,040 --> 00:14:57,600 Speaker 2: Absolutely? 323 00:14:58,160 --> 00:15:02,280 Speaker 11: In fact, was not just a theore the call pledge. 324 00:15:02,440 --> 00:15:06,240 Speaker 11: It's something we had to practice for the past three 325 00:15:06,320 --> 00:15:10,000 Speaker 11: years now to physically demonstrate we have the ability to 326 00:15:10,160 --> 00:15:12,720 Speaker 11: ensure the safety and security of the spense technologies from 327 00:15:12,720 --> 00:15:13,080 Speaker 11: the US. 328 00:15:13,160 --> 00:15:13,440 Speaker 2: I e. 329 00:15:13,600 --> 00:15:16,600 Speaker 12: That there's no possibility for that technology to be passed 330 00:15:16,640 --> 00:15:17,440 Speaker 12: on elsewhere. 331 00:15:17,520 --> 00:15:20,440 Speaker 11: Cannot be a trands shipt. Yeah, there's no backwork for 332 00:15:20,720 --> 00:15:25,080 Speaker 11: remote access by unapproved parties, so and so forth. 333 00:15:25,240 --> 00:15:28,520 Speaker 12: Yes, let me ask you a big picture question, which 334 00:15:28,600 --> 00:15:32,800 Speaker 12: is the fact that obviously twenty twenty six was twenty 335 00:15:32,840 --> 00:15:35,240 Speaker 12: twenty five was a big year for AI just in 336 00:15:35,320 --> 00:15:38,520 Speaker 12: terms of the mainstream discussion around it. And I think 337 00:15:38,560 --> 00:15:40,960 Speaker 12: there are pockets of the market where people started to 338 00:15:41,040 --> 00:15:43,800 Speaker 12: speak up and say, there's so much money going into 339 00:15:43,800 --> 00:15:46,360 Speaker 12: this space, especially on CAPEX investment, it's going to be 340 00:15:46,400 --> 00:15:48,800 Speaker 12: really difficult to generate a return on investment. 341 00:15:49,480 --> 00:15:50,720 Speaker 5: Where do you stand on that debate? 342 00:15:51,600 --> 00:15:56,200 Speaker 11: I think there are three proper major factors to cause concern, 343 00:15:56,440 --> 00:16:00,840 Speaker 11: for doubt or even fear in this below. A movement 344 00:16:01,080 --> 00:16:04,200 Speaker 11: one is that it's clear now as we discussed earlier, 345 00:16:04,480 --> 00:16:09,440 Speaker 11: AI has entered our societies. AI is demonstrating it potentially 346 00:16:09,560 --> 00:16:13,360 Speaker 11: can do many things humans are doing today. So job 347 00:16:13,400 --> 00:16:18,280 Speaker 11: security is one concern. That's number one. Number two, as 348 00:16:18,320 --> 00:16:23,040 Speaker 11: we have seen, AI does require so much electricity, especially 349 00:16:23,720 --> 00:16:26,480 Speaker 11: in the US, there are such debates already. Can the 350 00:16:26,560 --> 00:16:30,240 Speaker 11: city centers eventually take power away from people who need 351 00:16:30,280 --> 00:16:33,480 Speaker 11: it to be left in the code and have AI 352 00:16:33,560 --> 00:16:34,520 Speaker 11: consume all the power? 353 00:16:34,720 --> 00:16:36,080 Speaker 2: This is power. 354 00:16:35,800 --> 00:16:39,840 Speaker 11: Concern number number two. Number three really is a concern 355 00:16:40,000 --> 00:16:45,120 Speaker 11: about a global race. Can we be actually left behind? 356 00:16:45,560 --> 00:16:49,960 Speaker 11: And what this means for government for national security. I 357 00:16:50,000 --> 00:16:53,840 Speaker 11: think all these are factors to cause certain pockets in 358 00:16:53,840 --> 00:16:59,560 Speaker 11: the US and elsewhere people are confused, concerned and asking 359 00:16:59,600 --> 00:17:03,880 Speaker 11: for a pot. But I think it's a mystic because 360 00:17:03,960 --> 00:17:07,120 Speaker 11: if we pulse, say in a US or a US 361 00:17:07,160 --> 00:17:11,560 Speaker 11: ecosystem or US allies many other nations. 362 00:17:15,359 --> 00:17:18,000 Speaker 3: That was Pengshao, CEO of G forty two, along with 363 00:17:18,040 --> 00:17:22,280 Speaker 3: Bloomberg's Jamana Bassecchi, staying at Davos. Santhropic CEO Dario ama 364 00:17:22,320 --> 00:17:27,159 Speaker 3: day Is warning the Trump administration against exporting advanced chips 365 00:17:27,400 --> 00:17:31,639 Speaker 3: to China, calling it a mistake with serious national security risks. 366 00:17:31,920 --> 00:17:34,480 Speaker 3: He sat down with Bloomberg editor in chief John Mickelfwaite 367 00:17:34,480 --> 00:17:37,879 Speaker 3: at Bloomberg House where the discussion started on the state 368 00:17:37,920 --> 00:17:39,200 Speaker 3: of China's AI models. 369 00:17:39,359 --> 00:17:42,720 Speaker 2: Listen to this. I think they never really caught up 370 00:17:42,960 --> 00:17:43,520 Speaker 2: that much. 371 00:17:43,560 --> 00:17:46,080 Speaker 13: So you know, of course there was this huge excitement 372 00:17:46,119 --> 00:17:50,639 Speaker 13: around deep Seek, right, but you know, the truth was 373 00:17:50,800 --> 00:17:51,560 Speaker 13: a couple of things. 374 00:17:51,640 --> 00:17:55,440 Speaker 2: One, you know, those models were very optimized for the benchmarks. 375 00:17:55,480 --> 00:17:58,600 Speaker 13: It's actually very easy to optimize the model for a 376 00:17:58,640 --> 00:18:02,119 Speaker 13: finite list of benchmark. When we go out into the world, 377 00:18:02,200 --> 00:18:05,359 Speaker 13: right when we're when we're, when we're uh, you know, 378 00:18:05,480 --> 00:18:09,520 Speaker 13: competing against other companies for enterprise contracts. We see just 379 00:18:09,720 --> 00:18:12,400 Speaker 13: honestly and Kennedy, we see Google, and we see open Ai. 380 00:18:12,880 --> 00:18:14,800 Speaker 13: Every once in a while we see a couple other 381 00:18:15,240 --> 00:18:20,960 Speaker 13: US players. I have almost never lost a deal, lost 382 00:18:21,000 --> 00:18:23,800 Speaker 13: a contract to to a Chinese model. 383 00:18:23,880 --> 00:18:26,120 Speaker 2: But now you have the Trump administration, and I think 384 00:18:26,160 --> 00:18:30,040 Speaker 2: you've already protested about this giving high speed chips and 385 00:18:30,119 --> 00:18:32,679 Speaker 2: video chips to the Chinese. That's right, that's right, the 386 00:18:32,720 --> 00:18:33,960 Speaker 2: thing that is holding them back. 387 00:18:34,119 --> 00:18:37,119 Speaker 13: And they've said it themselves, the CEOs of these companies 388 00:18:37,160 --> 00:18:40,320 Speaker 13: say it's the embargo on chips that's holding us back. 389 00:18:40,359 --> 00:18:41,760 Speaker 2: They explicitly say this. 390 00:18:42,359 --> 00:18:45,840 Speaker 13: And and now indeed, you know, there are some policies 391 00:18:45,880 --> 00:18:48,679 Speaker 13: and I hope they change their mind to uh, you know, 392 00:18:48,760 --> 00:18:52,639 Speaker 13: to explicitly send not quite our latest generation of chips, 393 00:18:52,640 --> 00:18:55,040 Speaker 13: although it was reported that even that was being considered. 394 00:18:55,600 --> 00:18:58,439 Speaker 13: But you know, the generation of chips that's that's just 395 00:18:58,480 --> 00:19:03,280 Speaker 13: one back. That's still dreamly powerful. And we are many 396 00:19:03,359 --> 00:19:06,680 Speaker 13: years ahead of China in terms of our in terms 397 00:19:06,720 --> 00:19:07,040 Speaker 13: of our. 398 00:19:06,960 --> 00:19:07,920 Speaker 2: Ability to make chips. 399 00:19:07,960 --> 00:19:09,960 Speaker 13: So I think it would be a big mistake to 400 00:19:10,240 --> 00:19:13,960 Speaker 13: ship these chips. You know, the the the analogy I 401 00:19:14,040 --> 00:19:18,040 Speaker 13: thought of if you think about the incredible national security 402 00:19:18,040 --> 00:19:23,320 Speaker 13: implications of building model building models that are essentially cognition, 403 00:19:23,440 --> 00:19:26,240 Speaker 13: that are essentially intelligence. Right, I've called where we're going 404 00:19:26,280 --> 00:19:29,560 Speaker 13: with this a country of geniuses in the data center. Right, 405 00:19:29,600 --> 00:19:33,440 Speaker 13: So imagine one hundred thousand, one hundred million people smarter 406 00:19:33,560 --> 00:19:36,040 Speaker 13: than any Nobel Prize winner, and it's going to be 407 00:19:36,119 --> 00:19:38,439 Speaker 13: under the control of one one country or another. 408 00:19:39,520 --> 00:19:41,520 Speaker 2: So so I think this is crazy. 409 00:19:41,560 --> 00:19:43,480 Speaker 13: I think it's you know, it's a bit like you know, 410 00:19:43,600 --> 00:19:47,360 Speaker 13: I don't know, like selling selling you know, nuclear weapons 411 00:19:47,359 --> 00:19:49,320 Speaker 13: to North Korea. 412 00:19:49,440 --> 00:19:52,680 Speaker 4: Athrobic CEO Daria Amada. They're speaking with Bloomberg editor in 413 00:19:52,760 --> 00:19:56,480 Speaker 4: chief John Mickelthwaite coming up. Just check out this list 414 00:19:56,480 --> 00:19:59,920 Speaker 4: of investors backing the new startup Humans and We'll find 415 00:20:00,080 --> 00:20:04,159 Speaker 4: out o striving the excitement and the huge punting ground 416 00:20:04,200 --> 00:20:06,640 Speaker 4: for a company fresh off the blocks is a Bloomberg. 417 00:20:06,240 --> 00:20:23,600 Speaker 3: Tech Humans and and You start up building a frontier 418 00:20:23,640 --> 00:20:26,400 Speaker 3: AI Lab has raised a four hundred and eighty million 419 00:20:26,480 --> 00:20:29,200 Speaker 3: dollar seed funding ground at a four point four to 420 00:20:29,200 --> 00:20:32,960 Speaker 3: eight billion dollar valuation and unusually large hall for a 421 00:20:33,000 --> 00:20:33,600 Speaker 3: young startup. 422 00:20:33,600 --> 00:20:35,120 Speaker 2: Bloomberg's VC reporter. 423 00:20:35,040 --> 00:20:39,200 Speaker 3: Natasha Mascarinus joins us, Now, what is the news here? 424 00:20:39,320 --> 00:20:41,280 Speaker 2: I mean, is it the seed ground of the evaluation? 425 00:20:41,400 --> 00:20:42,119 Speaker 2: What do we need to know? 426 00:20:42,400 --> 00:20:45,040 Speaker 14: Yeah, I mean this is the one of the largest 427 00:20:45,160 --> 00:20:48,800 Speaker 14: seed rounds in private market history. I also like to 428 00:20:48,840 --> 00:20:51,600 Speaker 14: say this is the new normal. For a Frontier Labs. 429 00:20:52,000 --> 00:20:56,439 Speaker 14: This is five top researchers and technologists leaving Anthropic XAI, 430 00:20:56,800 --> 00:21:01,240 Speaker 14: Google coming together and launching honestly a competitive to their 431 00:21:01,280 --> 00:21:04,199 Speaker 14: previous employers in a new way. So to me, the 432 00:21:04,240 --> 00:21:07,080 Speaker 14: news is that the AI bubble talk is at least, 433 00:21:07,440 --> 00:21:09,399 Speaker 14: you know, a step back for now, because we are 434 00:21:09,400 --> 00:21:12,880 Speaker 14: seeing investors back these early companies at very high valuation, 435 00:21:12,960 --> 00:21:14,240 Speaker 14: and strategic investors. 436 00:21:14,359 --> 00:21:17,680 Speaker 4: I can video for example, what new do we need 437 00:21:17,720 --> 00:21:19,240 Speaker 4: in a frontier lab right now? 438 00:21:20,800 --> 00:21:24,880 Speaker 14: Yeah, So the real question that we have is what 439 00:21:24,920 --> 00:21:27,359 Speaker 14: does Humans and really going to launch with. We don't 440 00:21:27,359 --> 00:21:30,360 Speaker 14: have a really strong idea of what their first product 441 00:21:30,760 --> 00:21:32,560 Speaker 14: is going to look like. But to me, it's really 442 00:21:32,560 --> 00:21:35,280 Speaker 14: being set up as the opposite of the set it 443 00:21:35,320 --> 00:21:39,159 Speaker 14: and forget it agents. It's going to be more collaborative. 444 00:21:39,280 --> 00:21:41,200 Speaker 14: When I spoke to the company, they said that it's 445 00:21:41,240 --> 00:21:44,240 Speaker 14: going to be more focused on long term outcomes for 446 00:21:44,280 --> 00:21:47,960 Speaker 14: communities and individuals. And to me, that says, you know, 447 00:21:48,000 --> 00:21:50,240 Speaker 14: maybe there will be a chat interface down the road, 448 00:21:50,240 --> 00:21:52,400 Speaker 14: but it won't be instant. It might be more focused 449 00:21:52,400 --> 00:21:56,080 Speaker 14: on memory or collaboration. So what I'm watching is really 450 00:21:56,080 --> 00:21:58,080 Speaker 14: to see if that's going to be the follow on. 451 00:21:58,119 --> 00:21:58,679 Speaker 5: That they've promised. 452 00:21:58,760 --> 00:22:00,560 Speaker 3: We just have twenty seconds, but I guess it is 453 00:22:00,600 --> 00:22:02,440 Speaker 3: the clue in the investors themselves. 454 00:22:02,640 --> 00:22:04,680 Speaker 14: I would say in video coming out as an early 455 00:22:04,760 --> 00:22:07,639 Speaker 14: investor is all you need to know about how serious 456 00:22:07,680 --> 00:22:09,880 Speaker 14: they're taking the compute needs of what they're going to do. 457 00:22:10,080 --> 00:22:11,119 Speaker 5: So that's what I would watch. 458 00:22:11,320 --> 00:22:14,640 Speaker 4: Bloomegs, Natasha and Mascarenas. It's a great write up. Thanks 459 00:22:14,680 --> 00:22:17,120 Speaker 4: for coming and explaining it today. You are coming up 460 00:22:17,359 --> 00:22:19,920 Speaker 4: report investor. What we known about their funding round of 461 00:22:20,000 --> 00:22:23,760 Speaker 4: late Georgian is the key investor in now. Margaret Wu 462 00:22:23,880 --> 00:22:26,720 Speaker 4: joins us now to talk about her new portfolio company 463 00:22:26,720 --> 00:22:29,560 Speaker 4: that's the Minion Dynamics and why she's getting into defense tech. 464 00:22:30,000 --> 00:22:55,320 Speaker 5: This is bluegg Tech. Welcome back to bluemeg Tech. 465 00:22:55,440 --> 00:22:58,320 Speaker 4: Checking on these markets that are under pressure, worst day 466 00:22:58,359 --> 00:23:00,720 Speaker 4: that we've seen in well at least a month, and 467 00:23:00,760 --> 00:23:02,240 Speaker 4: then as that one hundred are off by a percentage 468 00:23:02,280 --> 00:23:04,240 Speaker 4: point s and P five hundred raises all of its 469 00:23:04,280 --> 00:23:06,919 Speaker 4: annual gains. We are selling off risk assets, whether it's bonds, 470 00:23:07,000 --> 00:23:09,280 Speaker 4: whether it's the dollar, whether it's bitcoin as well or 471 00:23:09,280 --> 00:23:10,920 Speaker 4: off by more than two point six percent. Your flight 472 00:23:10,960 --> 00:23:14,520 Speaker 4: to safety is in gold and metals. Why because of geopolitics, 473 00:23:14,640 --> 00:23:17,479 Speaker 4: worries about Greenland, worries about a dial up in tariff 474 00:23:17,480 --> 00:23:20,199 Speaker 4: threats going towards Europe, and what their response might be. 475 00:23:20,640 --> 00:23:23,760 Speaker 4: You keep your eyes peeled what's happening from the focus 476 00:23:23,760 --> 00:23:25,919 Speaker 4: of geopolitics and President Trump. But move on to some 477 00:23:25,920 --> 00:23:28,359 Speaker 4: of the individual names that are underneath the hood. Look, 478 00:23:28,640 --> 00:23:30,760 Speaker 4: it doesn't help the nasat one hundred if you're wiping 479 00:23:30,760 --> 00:23:32,960 Speaker 4: out one hundred and fifty million dollars in market capitalization 480 00:23:33,000 --> 00:23:35,639 Speaker 4: of Nvidia having its worst day again in more than 481 00:23:35,680 --> 00:23:37,800 Speaker 4: a month. But I'm also looking at some companies that 482 00:23:37,880 --> 00:23:40,399 Speaker 4: still see love Intel. Webersh says, we think that and 483 00:23:40,840 --> 00:23:43,200 Speaker 4: overall we're going to see earnings better than expected. We're 484 00:23:43,200 --> 00:23:47,160 Speaker 4: seeing HSBC Seaport both saying the CPU side of the equation, 485 00:23:47,560 --> 00:23:50,359 Speaker 4: the ideas of PCs also the ramp up and foundry 486 00:23:50,359 --> 00:23:52,840 Speaker 4: are looking good. We are up on the thirty percent 487 00:23:52,960 --> 00:23:55,040 Speaker 4: here to date for Intel. But I'm looking also at 488 00:23:55,040 --> 00:23:56,960 Speaker 4: strategy that sells off the worst in a month because 489 00:23:56,960 --> 00:23:59,919 Speaker 4: Bitcoin's down, cryptos lower, and we're worried about the Banking 490 00:24:00,119 --> 00:24:04,240 Speaker 4: Senate Committee looking at that market structured deal at the moment, ed, 491 00:24:04,640 --> 00:24:05,679 Speaker 4: what do you keep an eye. 492 00:24:05,560 --> 00:24:08,160 Speaker 2: On Well, there's a lot of action in private markets 493 00:24:08,160 --> 00:24:08,440 Speaker 2: as well. 494 00:24:08,480 --> 00:24:11,879 Speaker 3: Toronto based venture firm Georgian has led a fifteen million 495 00:24:11,960 --> 00:24:15,800 Speaker 3: US dollar funding round in Dominion Dynamics, the firm's first 496 00:24:15,880 --> 00:24:19,040 Speaker 3: defense tech investment. It comes, as you just said, as 497 00:24:19,119 --> 00:24:22,000 Speaker 3: interest in Arctic security picks up, joining us to discuss. 498 00:24:22,280 --> 00:24:26,760 Speaker 3: Margaret wo, lead investor at Georgian, Dominion Dynamics is about 499 00:24:27,119 --> 00:24:29,399 Speaker 3: for both military and civilian use case, but it's about 500 00:24:29,400 --> 00:24:33,080 Speaker 3: a sensing network in the Arctic. You have focused as 501 00:24:33,080 --> 00:24:35,040 Speaker 3: an investor largely on AI. 502 00:24:35,160 --> 00:24:36,240 Speaker 2: This happens to be. 503 00:24:36,200 --> 00:24:40,760 Speaker 3: Your first defense play timely, But what's your thesis here 504 00:24:40,880 --> 00:24:41,680 Speaker 3: in making the play? 505 00:24:42,400 --> 00:24:45,480 Speaker 15: Well, you're right, Dominion Dynamics is a company with a 506 00:24:45,560 --> 00:24:49,120 Speaker 15: vision to become Canada's first defense neo prime and they're 507 00:24:49,160 --> 00:24:52,840 Speaker 15: starting by building an Arctic sensing and intelligence network for 508 00:24:52,960 --> 00:24:56,920 Speaker 15: dual use purposes. Now, our investment in this company really 509 00:24:56,960 --> 00:24:59,560 Speaker 15: began with a first meeting with the CEO and founder, 510 00:24:59,600 --> 00:25:02,679 Speaker 15: Elliot Pence, And what really struck me in that meeting 511 00:25:02,960 --> 00:25:06,359 Speaker 15: was not only the scale and the strategic importance of 512 00:25:06,400 --> 00:25:10,320 Speaker 15: this market, but the uniquely relevant background that Elliott has 513 00:25:10,359 --> 00:25:12,560 Speaker 15: to lead in this space, having been an early and 514 00:25:12,760 --> 00:25:15,760 Speaker 15: roll employee that helps lead the company's go to market 515 00:25:15,760 --> 00:25:17,440 Speaker 15: expansion into multiple geography. 516 00:25:17,520 --> 00:25:21,679 Speaker 3: We see that alumni effect, that network effect, SpaceX alumni 517 00:25:21,840 --> 00:25:25,400 Speaker 3: and ro alumni new companies. But in the here and now, 518 00:25:25,440 --> 00:25:27,800 Speaker 3: when you see the news headlines such that they are 519 00:25:28,160 --> 00:25:31,240 Speaker 3: about Greenland, I guess that must give you more confidence 520 00:25:31,240 --> 00:25:32,880 Speaker 3: that this is the right strategy right now. 521 00:25:33,000 --> 00:25:37,080 Speaker 15: Oh absolutely, At Jordan, we see several very strong tailwinds 522 00:25:37,119 --> 00:25:40,000 Speaker 15: for a company like Dominion. First is that the Canadian 523 00:25:40,040 --> 00:25:42,439 Speaker 15: government has made it very clear that they have a 524 00:25:42,480 --> 00:25:45,679 Speaker 15: commitment to increased defense spending from two percent of GDP 525 00:25:45,800 --> 00:25:48,560 Speaker 15: to five percent over the next ten years. The Arctic, 526 00:25:48,720 --> 00:25:52,000 Speaker 15: as you just mentioned, has become an increasingly strategic and 527 00:25:52,000 --> 00:25:56,240 Speaker 15: critical geography in the geopolitical landscape. And what's interesting is 528 00:25:56,280 --> 00:25:59,919 Speaker 15: that there are very few technology options for operating in 529 00:26:00,040 --> 00:26:04,520 Speaker 15: the extreme conditions of the Arctic environment, and Dominion is 530 00:26:04,600 --> 00:26:09,720 Speaker 15: developing ruggedized devices and equipment to solve this non trivial problem. 531 00:26:09,800 --> 00:26:12,000 Speaker 15: And the last thing I'll say is that with the 532 00:26:12,080 --> 00:26:16,840 Speaker 15: rise of companies like Andral and Helsing, we're really watching 533 00:26:16,880 --> 00:26:20,760 Speaker 15: a battle between legacy defense primes and neoprimes play out 534 00:26:20,760 --> 00:26:22,679 Speaker 15: in the US and Europe. But it's a little bit 535 00:26:22,680 --> 00:26:26,439 Speaker 15: different in Canada and that we don't have any real 536 00:26:26,640 --> 00:26:29,600 Speaker 15: legacy defense primes, so there's a white space and at 537 00:26:29,640 --> 00:26:32,320 Speaker 15: Georgia we believe that Dominion is poised to go capture 538 00:26:32,359 --> 00:26:33,439 Speaker 15: that Margaret. 539 00:26:33,720 --> 00:26:37,000 Speaker 4: There aren't many investors that also have an AI lab. 540 00:26:37,440 --> 00:26:39,520 Speaker 5: So where would you help a Dominion in that case? 541 00:26:39,560 --> 00:26:41,840 Speaker 4: Where are you helping your put photio companies with your 542 00:26:41,880 --> 00:26:42,840 Speaker 4: own talent that you have. 543 00:26:44,200 --> 00:26:44,360 Speaker 2: Right. 544 00:26:44,480 --> 00:26:47,240 Speaker 15: What makes Georgian different, and we've been investing in AI 545 00:26:47,480 --> 00:26:49,960 Speaker 15: since twenty sixteen, is that we actually have our own 546 00:26:50,000 --> 00:26:54,480 Speaker 15: internal AI lab of about twenty plus data scientists, mL engineers, 547 00:26:54,960 --> 00:26:59,200 Speaker 15: DevOps engineers and cybersecurity professionals that work with our portfolio 548 00:26:59,200 --> 00:27:03,720 Speaker 15: companies after we invest to accelerate their own product roadmaps. 549 00:27:03,880 --> 00:27:05,200 Speaker 5: So, as AI. 550 00:27:05,000 --> 00:27:07,840 Speaker 15: Investors, when we're looking at defense tech and a company 551 00:27:08,040 --> 00:27:12,840 Speaker 15: like Dominion Dynamics, we really see an industry that is 552 00:27:13,000 --> 00:27:17,840 Speaker 15: undergoing digital transformation and disruption from AI. Like many other 553 00:27:18,320 --> 00:27:24,119 Speaker 15: hardware and labor intensive industries, defense is essentially becoming software 554 00:27:24,119 --> 00:27:27,199 Speaker 15: defined and there's an increasing emphasis on the concept of 555 00:27:27,480 --> 00:27:30,280 Speaker 15: connected mass, meaning how do you quickly produce a lot 556 00:27:30,280 --> 00:27:32,359 Speaker 15: of things, but how do you make sure those things 557 00:27:32,359 --> 00:27:35,480 Speaker 15: can speak to each other, and that really intersects with 558 00:27:35,520 --> 00:27:38,280 Speaker 15: what we do at Georgian every day looking at areas 559 00:27:38,320 --> 00:27:44,560 Speaker 15: of technology like multimodal AI, physical AI, cybersecurity, and edge computing. 560 00:27:44,720 --> 00:27:47,560 Speaker 15: So our companies are working on these types of companies, 561 00:27:47,720 --> 00:27:50,680 Speaker 15: tracking where we believe there are headed and going and 562 00:27:51,280 --> 00:27:52,920 Speaker 15: we believe in that sense we're going to be a 563 00:27:52,960 --> 00:27:56,360 Speaker 15: great partner for a platform like Dominion, along with our 564 00:27:56,400 --> 00:27:58,720 Speaker 15: Canadian presence and connectivity. 565 00:27:58,800 --> 00:28:02,320 Speaker 4: If you're thinking of you really inherently an AI investor, 566 00:28:02,720 --> 00:28:04,320 Speaker 4: but now it's focused on defense. 567 00:28:04,640 --> 00:28:07,119 Speaker 5: Look, defense is a hot space and we know valuations 568 00:28:07,119 --> 00:28:09,280 Speaker 5: have been high. Another big bet. 569 00:28:09,160 --> 00:28:11,640 Speaker 4: Of yours has been Replet and boys that paying off 570 00:28:11,680 --> 00:28:13,760 Speaker 4: with its scale of its valuation. In the latest as 571 00:28:13,760 --> 00:28:16,200 Speaker 4: we understand, they're trippling its valuation to nine billion dollars. 572 00:28:16,200 --> 00:28:19,359 Speaker 4: We understand you and Georgian are helping lead that funding round. 573 00:28:19,880 --> 00:28:22,119 Speaker 5: When is it the right stage to invest? How are 574 00:28:22,160 --> 00:28:24,120 Speaker 5: you getting comfortable with these valuations? 575 00:28:26,040 --> 00:28:29,879 Speaker 15: Well, I can't really comment on a potential transaction, but 576 00:28:29,960 --> 00:28:33,080 Speaker 15: you're right, we are an existing investor in Replet, and 577 00:28:33,359 --> 00:28:36,399 Speaker 15: I believe this is a category defining company at the 578 00:28:36,680 --> 00:28:39,840 Speaker 15: app generation layer of vibe coding. When you think about 579 00:28:39,960 --> 00:28:42,920 Speaker 15: some of the lofty valuations that you're seeing. It's really 580 00:28:43,400 --> 00:28:47,720 Speaker 15: the potential of the market size behind something like Replet 581 00:28:47,920 --> 00:28:52,440 Speaker 15: and app generation. If software is eating the world, then 582 00:28:52,480 --> 00:28:55,280 Speaker 15: you should know that vibe coding is eating software and 583 00:28:55,320 --> 00:28:58,600 Speaker 15: that process is only accelerating. So we believe this has 584 00:28:58,600 --> 00:29:00,800 Speaker 15: the potential to be one of the law just markets 585 00:29:01,120 --> 00:29:04,640 Speaker 15: we've ever seen. And what I find particularly notable about 586 00:29:04,680 --> 00:29:08,960 Speaker 15: a company like Replet is that its product, with the 587 00:29:09,040 --> 00:29:12,440 Speaker 15: exceptional growth and millions of users, is still the worst 588 00:29:12,520 --> 00:29:15,240 Speaker 15: version of itself every single day. Because the company is 589 00:29:15,280 --> 00:29:18,400 Speaker 15: moving with such velocity that new incremental features are coming 590 00:29:18,400 --> 00:29:21,120 Speaker 15: out almost on a weekly basis, and with every new 591 00:29:21,200 --> 00:29:24,640 Speaker 15: coding agent launch, the company is making leaps forward towards 592 00:29:24,640 --> 00:29:30,280 Speaker 15: creating a one shot full stack engineering team and infrastructure. 593 00:29:29,720 --> 00:29:32,560 Speaker 3: To boot Margaret, our next guest is a pure play 594 00:29:32,920 --> 00:29:35,040 Speaker 3: software name in the defense space. 595 00:29:35,320 --> 00:29:36,720 Speaker 2: But I want to go back to what you just said. 596 00:29:36,840 --> 00:29:40,280 Speaker 3: You know the software being of value here and also 597 00:29:40,320 --> 00:29:43,160 Speaker 3: Dominion wanted to be a neo prime. Now we know 598 00:29:43,240 --> 00:29:46,400 Speaker 3: that also software is capital intensive. I just wondered if 599 00:29:46,400 --> 00:29:48,800 Speaker 3: you could reflect on that the need to fund growth 600 00:29:48,800 --> 00:29:51,960 Speaker 3: for these companies would be it talent access to compute 601 00:29:52,320 --> 00:29:53,920 Speaker 3: and software competence. 602 00:29:54,240 --> 00:29:57,080 Speaker 2: It's still an expensive gig absolutely. 603 00:29:57,160 --> 00:30:01,080 Speaker 15: I think historically there has been defense tech has been 604 00:30:01,120 --> 00:30:05,760 Speaker 15: a harder sector to invest into because of the startup 605 00:30:05,840 --> 00:30:08,840 Speaker 15: value of death and the amount of capital required. But 606 00:30:09,360 --> 00:30:12,760 Speaker 15: with the speed and the productivity that we are seeing 607 00:30:12,840 --> 00:30:16,080 Speaker 15: with things like Vibe coding, we believe companies can move 608 00:30:16,120 --> 00:30:18,200 Speaker 15: a lot faster in a much more cost effective way, 609 00:30:18,400 --> 00:30:20,280 Speaker 15: and that's how you've seen the rise of the New 610 00:30:20,360 --> 00:30:21,000 Speaker 15: York Primes. 611 00:30:21,680 --> 00:30:23,640 Speaker 4: Margarel Woo, what a joy to have you on the show. 612 00:30:23,640 --> 00:30:26,320 Speaker 4: Thank you very much, Adeve for joining today. Need Investor 613 00:30:26,720 --> 00:30:29,760 Speaker 4: at Georgian. Let's stick as Ed says, with the topic 614 00:30:29,760 --> 00:30:33,760 Speaker 4: of defense military software startup defense Unicorns has become a 615 00:30:33,880 --> 00:30:36,520 Speaker 4: unicorn itself, following says, one hundred and thirty six million 616 00:30:36,520 --> 00:30:37,600 Speaker 4: dollar funding around defense. 617 00:30:37,720 --> 00:30:39,520 Speaker 5: Unicorn CEO Rob Slaughter joins us. 618 00:30:39,480 --> 00:30:42,520 Speaker 4: To talk about the company's plans and how you're able 619 00:30:42,560 --> 00:30:44,160 Speaker 4: to get the cap table. I mean, you've got Bains 620 00:30:44,200 --> 00:30:46,520 Speaker 4: Capital Tech Opportunities Fund there, but you've also got ads, 621 00:30:46,560 --> 00:30:49,200 Speaker 4: a capital staffare ventures. I'm looking at Valor Equity Partners. 622 00:30:49,440 --> 00:30:51,640 Speaker 4: What is it that you tell them you're doing differently? 623 00:30:51,680 --> 00:30:53,880 Speaker 2: Well, really, it. 624 00:30:53,840 --> 00:30:57,440 Speaker 16: Just starts with the problem. I think obviously people know 625 00:30:58,520 --> 00:31:01,000 Speaker 16: and follow the news. Everybody I think in this country 626 00:31:01,040 --> 00:31:05,320 Speaker 16: believes and understands how lethal and effective the US military is. 627 00:31:05,680 --> 00:31:07,360 Speaker 16: But a lot of that lethality, a lot of that 628 00:31:07,400 --> 00:31:11,760 Speaker 16: capability was developed over the series of many decades. Meanwhile, 629 00:31:11,800 --> 00:31:15,120 Speaker 16: the software world has completely reinvented itself over the last 630 00:31:15,160 --> 00:31:17,680 Speaker 16: couple of years. So really, I think what investors or 631 00:31:17,680 --> 00:31:20,600 Speaker 16: company realize is not only is there a massive need, 632 00:31:20,960 --> 00:31:24,960 Speaker 16: but there's a massive market. In addition to that, there's 633 00:31:25,000 --> 00:31:29,320 Speaker 16: this massive change around how the Department of War is 634 00:31:29,400 --> 00:31:33,080 Speaker 16: open to contracting. So specifically, the Department of warf really 635 00:31:33,120 --> 00:31:36,200 Speaker 16: focuses on cost plus fees. I think the entire Department 636 00:31:36,240 --> 00:31:39,960 Speaker 16: of War has reinvented itself allowed for more fixed price contracting. 637 00:31:40,640 --> 00:31:45,320 Speaker 4: You called yourself the air Gap software company, So does 638 00:31:45,320 --> 00:31:47,560 Speaker 4: that get rid of Microsoft entirely? Do you come on 639 00:31:47,640 --> 00:31:50,320 Speaker 4: and help sure that the Department of War or any 640 00:31:50,320 --> 00:31:54,560 Speaker 4: of these other military focused areas of government are able 641 00:31:54,600 --> 00:31:56,680 Speaker 4: to still use the software providers they do, but you're 642 00:31:56,720 --> 00:31:58,600 Speaker 4: able to put this layer on top that makes it safe. 643 00:31:58,640 --> 00:31:59,680 Speaker 5: Where are you solving for? 644 00:32:00,640 --> 00:32:04,000 Speaker 2: Yeah, you absolutely nailed it. Most the entire world is 645 00:32:04,360 --> 00:32:04,880 Speaker 2: cloud based. 646 00:32:04,920 --> 00:32:07,760 Speaker 16: It's all centralized compute the Department of War, and we 647 00:32:07,840 --> 00:32:11,920 Speaker 16: believe many companies, many individuals, over the next decade or 648 00:32:12,000 --> 00:32:15,040 Speaker 16: two will actually find the value of these air gapped systems. 649 00:32:15,200 --> 00:32:17,400 Speaker 16: And let me define air gap for you. Air gap 650 00:32:17,480 --> 00:32:20,120 Speaker 16: is fully disconnected. That means it really doesn't touch anything. 651 00:32:20,120 --> 00:32:22,800 Speaker 16: It's semi disconnected, which means it might touch a few 652 00:32:22,800 --> 00:32:26,600 Speaker 16: things or even extremely high firewalls to where you know, 653 00:32:26,640 --> 00:32:29,600 Speaker 16: you might have access to the Internet to certain domains, 654 00:32:29,600 --> 00:32:31,360 Speaker 16: but you certainly can't go out and reach out. 655 00:32:31,400 --> 00:32:32,400 Speaker 2: You reach out to Docker. 656 00:32:32,720 --> 00:32:35,000 Speaker 16: You currently can't reach out to things like it hub. 657 00:32:36,320 --> 00:32:36,520 Speaker 2: Rob. 658 00:32:36,760 --> 00:32:39,560 Speaker 3: You had a career in the Air Force focused on technology. 659 00:32:39,680 --> 00:32:42,920 Speaker 3: Ten years ago, you tried to work with the DoD 660 00:32:43,120 --> 00:32:48,440 Speaker 3: to change how they approach software. Fast forward to present day, 661 00:32:48,640 --> 00:32:52,800 Speaker 3: clearly you see an opportunity. Has that changed how the 662 00:32:52,840 --> 00:32:56,920 Speaker 3: military apparatus views its procurement of software and how fast 663 00:32:56,960 --> 00:33:00,800 Speaker 3: you able to grow your contracts with the Defense Industrial Base? 664 00:33:01,720 --> 00:33:03,520 Speaker 2: Yeah, I think it goes back to the need. I 665 00:33:03,520 --> 00:33:05,080 Speaker 2: think ten years ago I didn't think. 666 00:33:05,240 --> 00:33:08,880 Speaker 16: I don't think people really understood what our adversaries were 667 00:33:08,920 --> 00:33:12,000 Speaker 16: capable of. I think there was a certain level of 668 00:33:12,440 --> 00:33:15,280 Speaker 16: you know, we have this superior tech advantage and I 669 00:33:15,280 --> 00:33:18,760 Speaker 16: think objectively speaking, that that's changed and with that need 670 00:33:18,840 --> 00:33:20,360 Speaker 16: comes a real desire to move quickly. 671 00:33:21,000 --> 00:33:21,200 Speaker 17: You know. 672 00:33:21,520 --> 00:33:23,760 Speaker 16: Previously, you know, there was some talk about the value 673 00:33:23,760 --> 00:33:25,960 Speaker 16: of death. One way to look at it is there's 674 00:33:25,960 --> 00:33:28,440 Speaker 16: several values of death. You have the value of death 675 00:33:28,440 --> 00:33:31,240 Speaker 16: of that first contract. But for a startup like us, 676 00:33:31,240 --> 00:33:34,440 Speaker 16: you have this value of death around software integration and 677 00:33:34,480 --> 00:33:37,000 Speaker 16: specifically as a company. That's the problem that we solve. 678 00:33:38,280 --> 00:33:41,880 Speaker 3: Rob sort A, CEO of Defense Unicorns reaching Unicorn status 679 00:33:42,120 --> 00:33:42,920 Speaker 3: as funning around. 680 00:33:42,920 --> 00:33:43,760 Speaker 2: Thank you very much. 681 00:33:44,000 --> 00:33:45,720 Speaker 3: Now, coming up, we're going to go live to Davos 682 00:33:45,720 --> 00:33:48,960 Speaker 3: for a conversation with UBS CEO Sergio A. 683 00:33:49,040 --> 00:34:03,800 Speaker 2: Mossi. That's next. This is being by Tech. Let's get 684 00:34:03,800 --> 00:34:04,680 Speaker 2: out to Davos. 685 00:34:04,360 --> 00:34:07,280 Speaker 3: Where Bloomberg Surveillance anchor John Ferrer is standing by. 686 00:34:07,480 --> 00:34:10,680 Speaker 8: John take it away, Hey, guys, live from Davos, Switzerland 687 00:34:10,840 --> 00:34:13,239 Speaker 8: at the World Economic Forum, standing by the King of 688 00:34:13,280 --> 00:34:15,799 Speaker 8: Swiss Banking. He might not like that introduction. It's Sergio 689 00:34:15,800 --> 00:34:19,840 Speaker 8: al Malti, the ubsc EO. Surge I, good to see you, hey, 690 00:34:19,920 --> 00:34:22,719 Speaker 8: thanks for braving the code. I appreciate it. Before we 691 00:34:22,719 --> 00:34:24,200 Speaker 8: get into the bank, we're going to ease into this 692 00:34:24,200 --> 00:34:25,680 Speaker 8: and start with financial markets. 693 00:34:25,880 --> 00:34:27,040 Speaker 2: What a start to the training week. 694 00:34:27,080 --> 00:34:31,360 Speaker 8: State side equities, open up, gap lower bonyard Hire dollar week. 695 00:34:31,880 --> 00:34:34,400 Speaker 8: We've seen this movie before. Last April got over it 696 00:34:34,400 --> 00:34:36,480 Speaker 8: pretty quickly. We've thrown a lot of this market in 697 00:34:36,520 --> 00:34:39,359 Speaker 8: the last twelve months. It hasn't stuck. Is there something 698 00:34:39,400 --> 00:34:41,520 Speaker 8: different about the way we're set up for twenty twenty six? 699 00:34:42,680 --> 00:34:46,000 Speaker 18: Well, I would say that it's probably the accumulation of 700 00:34:46,120 --> 00:34:49,080 Speaker 18: issues that are now out there and not resolved that 701 00:34:49,640 --> 00:34:52,759 Speaker 18: is becoming a little bit troubling in my point of view. 702 00:34:52,800 --> 00:34:55,800 Speaker 18: So I think that this is the only major change, 703 00:34:56,000 --> 00:34:59,799 Speaker 18: But we have to stay tuned for more relativity going 704 00:34:59,800 --> 00:35:04,480 Speaker 18: forwar and predictability and rapid changes. So I think that 705 00:35:05,520 --> 00:35:09,080 Speaker 18: staying diversified in financial markets nowadays is pretty important. 706 00:35:09,239 --> 00:35:11,920 Speaker 8: Let's get to what that word means, diversify. It feels 707 00:35:11,920 --> 00:35:14,480 Speaker 8: like that's a diplomatic way of saying South America sometimes, 708 00:35:14,480 --> 00:35:15,839 Speaker 8: and I'm not going to put words in your mouth. 709 00:35:15,920 --> 00:35:17,120 Speaker 2: I'll tell you what others are saying. 710 00:35:17,560 --> 00:35:20,480 Speaker 8: Pinco is talking about a multi year period of diversification 711 00:35:20,560 --> 00:35:24,000 Speaker 8: away from US assets. We've seen from others moving out 712 00:35:24,280 --> 00:35:26,400 Speaker 8: of US treasuries. There was a headline earlier on this 713 00:35:26,440 --> 00:35:29,839 Speaker 8: morning about a very small Danish pension fund, and they've 714 00:35:29,840 --> 00:35:31,799 Speaker 8: got their own issues in Denmark right now. Given their 715 00:35:31,840 --> 00:35:34,120 Speaker 8: relationship with America, what are you seeing development? 716 00:35:34,120 --> 00:35:37,880 Speaker 18: Well, Diversifying away from America is impossible. I think that 717 00:35:38,800 --> 00:35:42,760 Speaker 18: in any major asset allocation, one could probably think about 718 00:35:42,760 --> 00:35:47,000 Speaker 18: having an overweight or underweight, But diversifying away from the 719 00:35:47,080 --> 00:35:51,600 Speaker 18: US and also from the dollar is a quite dangerous beat. 720 00:35:52,080 --> 00:35:56,319 Speaker 18: You know, things can change rapidly, and US this is 721 00:35:56,320 --> 00:35:58,719 Speaker 18: the strongest economy in the world. The one was the 722 00:35:58,840 --> 00:36:01,840 Speaker 18: highest level of nail right now is a little bit bumpy, 723 00:36:02,160 --> 00:36:05,560 Speaker 18: but I would say that I wouldn't really bet against 724 00:36:05,800 --> 00:36:06,280 Speaker 18: the US. 725 00:36:06,360 --> 00:36:09,080 Speaker 8: There seems to be a difference between how the politicians 726 00:36:09,080 --> 00:36:11,720 Speaker 8: and the policymakers talk about America right now the backdrop 727 00:36:11,719 --> 00:36:14,440 Speaker 8: for international relations, and how a business person thinks of 728 00:36:14,440 --> 00:36:17,560 Speaker 8: America the economy and the opportunity. I've mentioned this nowt 729 00:36:17,600 --> 00:36:20,640 Speaker 8: a number of times already today about the survey the 730 00:36:20,680 --> 00:36:23,520 Speaker 8: PwC put out. They surveyed four and a half thousand 731 00:36:23,560 --> 00:36:27,719 Speaker 8: CEOs and the top destination for capital for investment America 732 00:36:27,800 --> 00:36:30,520 Speaker 8: and it was up on last year. As a bank 733 00:36:30,719 --> 00:36:33,960 Speaker 8: boss right now, a CEO who's thinking about expanding around 734 00:36:34,000 --> 00:36:34,360 Speaker 8: the world. 735 00:36:34,760 --> 00:36:36,400 Speaker 2: Why is US still top of mind for you? 736 00:36:37,000 --> 00:36:40,200 Speaker 18: Well, because from our center pint of view, we see 737 00:36:40,239 --> 00:36:45,120 Speaker 18: two big levers. First of all, wealth creation GDP growth innovations, 738 00:36:45,239 --> 00:36:49,239 Speaker 18: and also more indiosyncratic to UBS is that we see 739 00:36:49,280 --> 00:36:54,920 Speaker 18: potential for us to become more present increase our market share. 740 00:36:55,040 --> 00:36:57,839 Speaker 18: So that's one place. On the other end, we are 741 00:36:57,880 --> 00:37:00,960 Speaker 18: also very big in Asia. I mean we manage one 742 00:37:01,000 --> 00:37:03,279 Speaker 18: trillion of assets there. We are growing very fast, the 743 00:37:03,320 --> 00:37:07,600 Speaker 18: economy is growing. Half of the population in the world 744 00:37:07,800 --> 00:37:10,920 Speaker 18: is living there and is creating new wealth. But you 745 00:37:10,960 --> 00:37:13,879 Speaker 18: know in the America, in the US, by the way, 746 00:37:13,960 --> 00:37:19,400 Speaker 18: last year the US created twenty five millions of new millionaires, 747 00:37:19,520 --> 00:37:22,719 Speaker 18: so basically one thousand millionaires a day. 748 00:37:23,520 --> 00:37:25,239 Speaker 2: So it's a place. 749 00:37:24,920 --> 00:37:27,920 Speaker 18: For a financial institution, a wealth manager like UBS is 750 00:37:27,920 --> 00:37:28,480 Speaker 18: a place to be. 751 00:37:28,680 --> 00:37:30,120 Speaker 8: Let's talk about that. Is that something you want to 752 00:37:30,160 --> 00:37:31,920 Speaker 8: do organically or through an acquisition? 753 00:37:32,560 --> 00:37:34,000 Speaker 2: I think that we have enough to do. 754 00:37:35,960 --> 00:37:39,400 Speaker 18: Organically. By doing better what we can do, we are 755 00:37:39,480 --> 00:37:45,840 Speaker 18: enhancing our product capabilities. We just got a national charter 756 00:37:46,800 --> 00:37:51,759 Speaker 18: application being approved by the OCC. We are expanding our 757 00:37:52,200 --> 00:37:56,200 Speaker 18: interaction between the investment bank and our wealth management people 758 00:37:56,280 --> 00:37:59,480 Speaker 18: so I think that more things we can do to 759 00:37:59,560 --> 00:38:00,920 Speaker 18: get better and stronger. 760 00:38:01,040 --> 00:38:02,799 Speaker 8: It sounds like you're on the front foot at the 761 00:38:02,840 --> 00:38:04,800 Speaker 8: same time as the bousering behind me. I'm reminded of 762 00:38:04,840 --> 00:38:07,640 Speaker 8: where we are Switzerland and the issues on the horizon 763 00:38:07,640 --> 00:38:10,920 Speaker 8: potentially for the bank, and that's capital requirements. That feels 764 00:38:10,960 --> 00:38:12,839 Speaker 8: like a cloud that's hanging over this bank right now. 765 00:38:12,840 --> 00:38:14,440 Speaker 8: How quickly do you think we can resolve it? 766 00:38:16,239 --> 00:38:20,000 Speaker 18: Not quickly. I think it's a political process. Most likely 767 00:38:20,000 --> 00:38:22,520 Speaker 18: we're going to find out the direction of travel that 768 00:38:22,760 --> 00:38:26,160 Speaker 18: you know, in the middle of the second quarter, and 769 00:38:26,200 --> 00:38:29,360 Speaker 18: then it's still a political process. But you're right that 770 00:38:29,480 --> 00:38:34,319 Speaker 18: this is something that has been quite distracting for us. 771 00:38:34,360 --> 00:38:37,400 Speaker 18: Although we have been quite successful in managing the integration 772 00:38:37,440 --> 00:38:41,239 Speaker 18: of Predy. Swiss is almost completed. We are almost you know, 773 00:38:42,000 --> 00:38:45,600 Speaker 18: three months ago, and then the vast majority of the 774 00:38:45,680 --> 00:38:48,640 Speaker 18: job is done. So but we look forward for our 775 00:38:48,640 --> 00:38:50,160 Speaker 18: resolution also, I'm. 776 00:38:50,040 --> 00:38:50,440 Speaker 2: Sure you do. 777 00:38:50,560 --> 00:38:53,120 Speaker 8: From the strategic standpoint, How is it holding you back? 778 00:38:53,160 --> 00:38:55,160 Speaker 8: How is it distracting you? What are you prevented from 779 00:38:55,160 --> 00:38:57,080 Speaker 8: doing that you would like to do right now. 780 00:38:57,000 --> 00:38:59,520 Speaker 18: At this point in time, To be sure, nothing, because 781 00:38:59,600 --> 00:39:03,480 Speaker 18: you know, executing the integration is the top priority. We 782 00:39:03,520 --> 00:39:06,920 Speaker 18: cannot be complacent. Although ninety eighty five percent is done, 783 00:39:07,800 --> 00:39:11,799 Speaker 18: the last fifteen percent is as important. We still need 784 00:39:11,840 --> 00:39:16,279 Speaker 18: to take out three billion of costs and finalize the 785 00:39:16,320 --> 00:39:20,440 Speaker 18: restructuring and then we can we are prepared for growth, 786 00:39:20,640 --> 00:39:23,040 Speaker 18: and that's the reason why we are investing top line 787 00:39:23,040 --> 00:39:27,520 Speaker 18: but also in efficiencies AI and how we can become 788 00:39:27,920 --> 00:39:28,840 Speaker 18: better and stronger. 789 00:39:28,960 --> 00:39:31,480 Speaker 8: Where did the cost come out? You satisfied with the 790 00:39:31,520 --> 00:39:33,400 Speaker 8: size of the workforce. There's money to be done on 791 00:39:33,400 --> 00:39:33,920 Speaker 8: that side of. 792 00:39:33,840 --> 00:39:37,200 Speaker 18: Well, there is still unfortunately that's the more. You know, 793 00:39:37,440 --> 00:39:39,480 Speaker 18: a big chunk of the savings are going to come 794 00:39:39,520 --> 00:39:45,840 Speaker 18: by disconnecting all the A systems, data centers, and but 795 00:39:45,920 --> 00:39:48,319 Speaker 18: also there is a you know also a painful still 796 00:39:48,440 --> 00:39:52,040 Speaker 18: part on the account. But it's within what we always announced. 797 00:39:52,280 --> 00:39:56,520 Speaker 18: So you know, I think the direction of travel is said. 798 00:39:56,680 --> 00:39:58,640 Speaker 8: This is the top of the to do list for you, 799 00:39:58,840 --> 00:40:00,640 Speaker 8: and then someone else is going to step in. 800 00:40:00,760 --> 00:40:01,280 Speaker 2: Eventually. 801 00:40:01,520 --> 00:40:04,000 Speaker 8: You've offered your thought about where that someone might come from, 802 00:40:04,239 --> 00:40:06,640 Speaker 8: that you'd like to see them come from internally, from 803 00:40:06,680 --> 00:40:09,800 Speaker 8: within the bank, you open to someone coming from the outside. 804 00:40:10,120 --> 00:40:11,800 Speaker 18: Well, we always need to be open. I think that 805 00:40:11,960 --> 00:40:14,680 Speaker 18: the board is not you know, my job is to 806 00:40:15,320 --> 00:40:19,600 Speaker 18: is to prepare and to present to the board as 807 00:40:19,680 --> 00:40:23,600 Speaker 18: many candidate possible for internally, and the role of the 808 00:40:23,640 --> 00:40:26,880 Speaker 18: board is to also evaluate external candidates and find the 809 00:40:26,880 --> 00:40:29,799 Speaker 18: best solution for the future. But I would say the 810 00:40:29,800 --> 00:40:32,239 Speaker 18: bank is very strong, My team is very strong, and 811 00:40:32,960 --> 00:40:36,680 Speaker 18: I do believe that you know, an evolution is what 812 00:40:36,760 --> 00:40:39,279 Speaker 18: we need. Is probably not a revolution, but you know, 813 00:40:39,440 --> 00:40:40,640 Speaker 18: it all depends. 814 00:40:40,440 --> 00:40:41,760 Speaker 2: What's the timeline for that process. 815 00:40:41,760 --> 00:40:43,359 Speaker 8: Now, can you give us an idea or what point 816 00:40:43,400 --> 00:40:46,719 Speaker 8: do you present your ideas about who might succeed you? 817 00:40:47,080 --> 00:40:50,359 Speaker 18: Well, we always every year I present ideas, and you 818 00:40:50,360 --> 00:40:54,920 Speaker 18: know a succession. Succession is not a process that you do, 819 00:40:55,320 --> 00:41:00,719 Speaker 18: you know, only a few months or years before somebody leaves. 820 00:41:00,760 --> 00:41:04,399 Speaker 18: A succession is somebody that we manage every year. And 821 00:41:05,360 --> 00:41:07,560 Speaker 18: from my Iceland point of view, we need to be just 822 00:41:08,080 --> 00:41:10,600 Speaker 18: prepared to have the best person for that moment. 823 00:41:10,719 --> 00:41:13,239 Speaker 8: When that person is selected, there is another seat that 824 00:41:13,320 --> 00:41:14,120 Speaker 8: might open. 825 00:41:14,320 --> 00:41:16,000 Speaker 2: And it's the chairperson's seat. 826 00:41:16,040 --> 00:41:18,440 Speaker 8: And I just wonder when you step aside a CEO, 827 00:41:18,520 --> 00:41:20,960 Speaker 8: as the chapter truly closed for you and the bank. 828 00:41:21,600 --> 00:41:23,640 Speaker 18: Well, look, you know, right now I am very focused 829 00:41:23,680 --> 00:41:26,680 Speaker 18: on finishing my job honestly, I think this is still 830 00:41:26,800 --> 00:41:32,239 Speaker 18: very intense activity and then it's going to be you know, 831 00:41:32,280 --> 00:41:33,000 Speaker 18: I need to reflect. 832 00:41:33,080 --> 00:41:35,759 Speaker 8: You realize people watching this won't really believe that, well, 833 00:41:36,200 --> 00:41:39,120 Speaker 8: you are a human being. You were thinking about the 834 00:41:39,160 --> 00:41:40,680 Speaker 8: future and what comes next. 835 00:41:40,800 --> 00:41:43,600 Speaker 18: But people watching there are not expecting me to respond. 836 00:41:44,280 --> 00:41:46,359 Speaker 8: That is true as well, particularly this gentleman right here 837 00:41:47,040 --> 00:41:49,560 Speaker 8: who wants that response from you. Just a final question 838 00:41:49,600 --> 00:41:51,520 Speaker 8: from me. I believe you first took the job a 839 00:41:51,560 --> 00:41:54,279 Speaker 8: CEO back in twenty eleven. As you look back on things, 840 00:41:54,320 --> 00:41:55,759 Speaker 8: and I think this is the appropriate time to begin 841 00:41:55,800 --> 00:41:58,919 Speaker 8: to think about this. Your legacy at the bank. I'm 842 00:41:58,920 --> 00:42:00,680 Speaker 8: not sure you ever really thought that we'd end up 843 00:42:00,719 --> 00:42:04,680 Speaker 8: here integrating Credit Suite in the circumstances we did. But 844 00:42:04,760 --> 00:42:07,239 Speaker 8: how would you like your legacy to remembered as a 845 00:42:07,320 --> 00:42:08,880 Speaker 8: leader of UBS? 846 00:42:10,000 --> 00:42:13,320 Speaker 18: I was very proud. I mean, in a tragic moment 847 00:42:13,320 --> 00:42:15,759 Speaker 18: for Switzerland and for the banking industry, I was very 848 00:42:15,760 --> 00:42:18,479 Speaker 18: proud in twenty twenty three when I have two years 849 00:42:18,480 --> 00:42:21,120 Speaker 18: after I left that UBS was asked to step in 850 00:42:21,400 --> 00:42:25,479 Speaker 18: and stabilize and help stabilizing credit Swiss and being part 851 00:42:25,760 --> 00:42:28,400 Speaker 18: of the solution that was for me the you know, 852 00:42:28,640 --> 00:42:33,399 Speaker 18: almost reaching what I always thought I wanted to show 853 00:42:33,480 --> 00:42:37,520 Speaker 18: with our transformations in the first period. Right now, I 854 00:42:37,560 --> 00:42:40,359 Speaker 18: think that we have a solid bank, a stronger bank 855 00:42:40,400 --> 00:42:43,440 Speaker 18: than before, and I believe we are set for growth. 856 00:42:43,680 --> 00:42:46,440 Speaker 18: So the legacy is always to see that when you 857 00:42:46,560 --> 00:42:49,320 Speaker 18: leave after a couple of years, things are going even better. 858 00:42:49,719 --> 00:42:51,200 Speaker 8: So Jah, it's got to see it. Thanks for making 859 00:42:51,239 --> 00:42:52,919 Speaker 8: time for us. Thank you, We'll get you into the world. 860 00:42:53,200 --> 00:42:56,960 Speaker 8: That was the UBS CEO Sergio Ramoti speaking with Bloomberg 861 00:42:57,040 --> 00:42:59,839 Speaker 8: Surveillance right here at the World Economic Forum. 862 00:43:00,280 --> 00:43:01,040 Speaker 2: I throw it back to you. 863 00:43:01,480 --> 00:43:02,560 Speaker 5: Extraordinary conversation. 864 00:43:02,880 --> 00:43:05,759 Speaker 4: As always, we thank you John Farrow there with Sergio al. 865 00:43:05,680 --> 00:43:07,000 Speaker 5: Marti of UBS. 866 00:43:07,239 --> 00:43:11,240 Speaker 4: Now sticking with Davos and Switzerland, we have Bloomberg's Emily Chang. 867 00:43:11,400 --> 00:43:14,040 Speaker 4: She sat down earlier with Demis hasarvis, A CEO of 868 00:43:14,040 --> 00:43:14,480 Speaker 4: Deep Mind. 869 00:43:14,480 --> 00:43:14,960 Speaker 5: Take listen. 870 00:43:16,320 --> 00:43:20,520 Speaker 17: It's been hard work, really hard work, getting our technology 871 00:43:20,719 --> 00:43:23,200 Speaker 17: and the models sort of to back to state of 872 00:43:23,239 --> 00:43:25,759 Speaker 17: the art. I think we did that with Gemini three 873 00:43:25,880 --> 00:43:30,719 Speaker 17: especially and Nana Banana our imaging software, and then I 874 00:43:30,760 --> 00:43:33,319 Speaker 17: think we've also sort of adapted really to this new 875 00:43:33,360 --> 00:43:36,239 Speaker 17: world of shipping very fast, kind of bringing a kind 876 00:43:36,239 --> 00:43:37,960 Speaker 17: of startup energy to what we do. 877 00:43:37,960 --> 00:43:41,120 Speaker 10: Do you think people underestimated Google or got something wrong? 878 00:43:41,239 --> 00:43:43,160 Speaker 17: Yes, maybe, I'm not sure. I mean I think we 879 00:43:43,200 --> 00:43:47,120 Speaker 17: always had the ingredients, you know, to be at the 880 00:43:47,120 --> 00:43:50,359 Speaker 17: forefront of this. Obviously, we've got the long history in it. 881 00:43:50,680 --> 00:43:53,319 Speaker 17: I think, you know, over the last decade, Google and 882 00:43:53,360 --> 00:43:56,319 Speaker 17: deep Mind, between us, we've invented most of the breakthroughs 883 00:43:56,360 --> 00:43:59,560 Speaker 17: that the modern AI industry relies on now. Obviously Transformers, 884 00:43:59,600 --> 00:44:02,680 Speaker 17: most Familee, but Alpha go deep reinforcement learning these things, 885 00:44:03,560 --> 00:44:06,560 Speaker 17: and we have these incredible product surfaces, billions of users 886 00:44:06,640 --> 00:44:10,440 Speaker 17: services that are natural fits for AI actually, from search 887 00:44:10,560 --> 00:44:11,680 Speaker 17: to email to. 888 00:44:13,160 --> 00:44:13,480 Speaker 12: Chrome. 889 00:44:14,560 --> 00:44:18,400 Speaker 17: But it's just getting all of that together and organized 890 00:44:18,400 --> 00:44:19,880 Speaker 17: in the right way. And I think we've done that 891 00:44:19,920 --> 00:44:21,719 Speaker 17: in the last couple of years, and there's still a 892 00:44:21,760 --> 00:44:23,280 Speaker 17: lot more work to do, but I think we're starting 893 00:44:23,320 --> 00:44:24,120 Speaker 17: to see the fruits of that. 894 00:44:24,360 --> 00:44:28,320 Speaker 10: A year ago, Deep Sea seemed cataclysmic for the worst. 895 00:44:29,880 --> 00:44:33,200 Speaker 10: Now a year later it's quite China seems you have 896 00:44:33,239 --> 00:44:37,240 Speaker 10: been quieter. Yes, has your opinion on competition from China changed? 897 00:44:37,640 --> 00:44:38,160 Speaker 2: Not really. 898 00:44:38,520 --> 00:44:40,320 Speaker 17: I mean I didn't think it was cataclysmic in the 899 00:44:40,320 --> 00:44:42,319 Speaker 17: first place. I think it was a massive overreaction in 900 00:44:42,360 --> 00:44:45,480 Speaker 17: the West it was impressive, and I think it shows 901 00:44:45,520 --> 00:44:49,920 Speaker 17: that the Chinese are very capable that the deleting companies. 902 00:44:50,880 --> 00:44:53,359 Speaker 17: I think companies like Buy Dance actually, I would say 903 00:44:53,680 --> 00:44:57,239 Speaker 17: are the most capable, and there may be only six 904 00:44:57,280 --> 00:44:59,879 Speaker 17: months behind, not one or two years behind the front 905 00:45:00,480 --> 00:45:02,680 Speaker 17: So I think that's what Deepseak showed. Some of the 906 00:45:02,719 --> 00:45:05,440 Speaker 17: claims were over exaggerated about you know, the amount of 907 00:45:05,440 --> 00:45:07,600 Speaker 17: compute they used and being so minimal and so on, 908 00:45:07,640 --> 00:45:11,200 Speaker 17: because they relied on some Western models and also fine 909 00:45:11,239 --> 00:45:14,240 Speaker 17: tuning on the outputs of some of the leading Western models. 910 00:45:14,560 --> 00:45:17,719 Speaker 17: So it wasn't sort of Denovo. And the other thing 911 00:45:17,760 --> 00:45:19,640 Speaker 17: I think so far as not you know, yet to 912 00:45:19,640 --> 00:45:23,520 Speaker 17: be seen, is can China actually the Chinese companies innovate 913 00:45:23,600 --> 00:45:25,120 Speaker 17: beyond the frontier themselves. 914 00:45:27,800 --> 00:45:30,840 Speaker 3: That was Deep Mind CEO Demis Hasavis there along with 915 00:45:30,880 --> 00:45:34,000 Speaker 3: Bloomberg's Emily Chang, and that does it for this edition 916 00:45:34,520 --> 00:45:37,200 Speaker 3: of Bloomberg Tech Netflix Reporting After the Bell. 917 00:45:37,320 --> 00:45:39,160 Speaker 2: That's kind of the big one we're looking. 918 00:45:38,960 --> 00:45:42,520 Speaker 3: For both because of what we're waiting on more information 919 00:45:42,680 --> 00:45:45,840 Speaker 3: about this amended offer Caro for Warner Brothers Discovery to 920 00:45:45,920 --> 00:45:48,359 Speaker 3: an all cash deal. But as Geta Rang and Nathan 921 00:45:48,400 --> 00:45:50,719 Speaker 3: of Bloomberg Intelligence put it to us, we want to 922 00:45:50,719 --> 00:45:52,359 Speaker 3: know what's going to happen in twenty twenty six. 923 00:45:52,480 --> 00:45:53,319 Speaker 5: Yeah, we want to know if. 924 00:45:53,200 --> 00:45:56,000 Speaker 4: It can deliver on thirteen percent growth in revenue, where 925 00:45:56,000 --> 00:45:58,720 Speaker 4: they can still hit the levels of fifty to fifty 926 00:45:58,760 --> 00:46:00,560 Speaker 4: one billion dollars in revenue per year. 927 00:46:00,880 --> 00:46:01,200 Speaker 2: Quiz. 928 00:46:01,200 --> 00:46:03,480 Speaker 4: Look, with this all cash bid doesn't drive up their 929 00:46:03,560 --> 00:46:07,080 Speaker 4: leverage much, but does sure put the pressure on paramounts 930 00:46:07,080 --> 00:46:09,600 Speaker 4: guidance as well. So all eyes on that deal, on 931 00:46:09,640 --> 00:46:11,640 Speaker 4: those earnings, and don't forget to check out our podcast 932 00:46:11,640 --> 00:46:13,040 Speaker 4: of course, find it on the terminal as well as 933 00:46:13,080 --> 00:46:16,160 Speaker 4: online on Apples, Spotify, and iHeart to just reimagine all 934 00:46:16,200 --> 00:46:17,920 Speaker 4: the conversations I've been having at Davos ed. 935 00:46:18,160 --> 00:46:19,480 Speaker 5: There's a lot going on this week. 936 00:46:20,280 --> 00:46:23,719 Speaker 3: There is an earning start in Earnest Netflix today, and 937 00:46:23,760 --> 00:46:26,239 Speaker 3: then we brace for what's to come over the next 938 00:46:26,320 --> 00:46:27,040 Speaker 3: couple of weeks. 939 00:46:27,600 --> 00:46:28,560 Speaker 2: This is Bloomberg Tech