1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,800 --> 00:00:14,880 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Paul Sweeney along 3 00:00:14,880 --> 00:00:17,240 Speaker 2: with Tom Keene. Join us each day for insight from 4 00:00:17,239 --> 00:00:20,760 Speaker 2: the best in economics, geopolitics, finance, and investment. You can 5 00:00:20,800 --> 00:00:24,439 Speaker 2: also watch the show live on YouTube. Visit the Bloomberg 6 00:00:24,480 --> 00:00:27,760 Speaker 2: Podcast channel on YouTube to see the show weekday mornings 7 00:00:27,760 --> 00:00:30,400 Speaker 2: from seven to ten Eastern Remark Global Headquarters at New 8 00:00:30,480 --> 00:00:33,720 Speaker 2: York City. Subscribe to the podcast on Apple, Spotify, or 9 00:00:33,760 --> 00:00:36,800 Speaker 2: anywhere else you listen, and as always on Bloomberg Radio, 10 00:00:36,840 --> 00:00:40,000 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business App. Let's check 11 00:00:40,000 --> 00:00:42,120 Speaker 2: in with somebody who knows what's going on out there 12 00:00:42,120 --> 00:00:45,160 Speaker 2: in the Market's Christina Hooper. She's a chief global market 13 00:00:45,200 --> 00:00:49,080 Speaker 2: strategist for Investco. Christina, it's been a busy week here. 14 00:00:49,159 --> 00:00:51,920 Speaker 2: I mean, we've had a lot of central bank movement here. 15 00:00:52,000 --> 00:00:55,160 Speaker 2: We've had a lot of IPO markets or activity in 16 00:00:55,200 --> 00:00:58,360 Speaker 2: the markets as well. Let's start with the Federal Reserve 17 00:00:58,400 --> 00:01:00,600 Speaker 2: here and some of the other central banks. Quite frankly, 18 00:01:00,920 --> 00:01:02,320 Speaker 2: what did you take from the Fed and the other 19 00:01:02,360 --> 00:01:02,960 Speaker 2: central banks? 20 00:01:02,960 --> 00:01:03,920 Speaker 3: Commentary this week? 21 00:01:04,040 --> 00:01:08,440 Speaker 4: Paul, we are headed to an easier environment for monetary policy, 22 00:01:08,880 --> 00:01:10,720 Speaker 4: and as I think you know, I've been a big 23 00:01:10,760 --> 00:01:16,679 Speaker 4: believer that monetary policy has and will continue to drive markets, 24 00:01:17,000 --> 00:01:19,360 Speaker 4: and that's why I think we've had such a good week. 25 00:01:19,480 --> 00:01:23,040 Speaker 4: Even in terms of IPOs, Sentiment has gotten more positive 26 00:01:23,120 --> 00:01:26,240 Speaker 4: because we know the end is insight and that we're 27 00:01:26,280 --> 00:01:28,480 Speaker 4: going to start to see rate cuts. In fact, the 28 00:01:28,520 --> 00:01:31,559 Speaker 4: Swiss National Bank gave us a nice surprise this week, 29 00:01:31,600 --> 00:01:36,839 Speaker 4: our first present from major developed central banks in terms 30 00:01:36,840 --> 00:01:39,760 Speaker 4: of cutting. But this is just the beginning, and this 31 00:01:39,920 --> 00:01:42,759 Speaker 4: is so different than the environment we saw in twenty 32 00:01:42,840 --> 00:01:47,960 Speaker 4: twenty two, where we had surprise rate hikes, a whole 33 00:01:48,040 --> 00:01:50,840 Speaker 4: flurry of them, so much so that the World Bank 34 00:01:50,960 --> 00:01:54,640 Speaker 4: warned in September of twenty twenty two that this synchronized 35 00:01:54,680 --> 00:01:57,800 Speaker 4: tightening was something we hadn't seen in many decades. Well, 36 00:01:57,840 --> 00:02:00,200 Speaker 4: now we're getting to see what I think will be 37 00:02:00,680 --> 00:02:04,200 Speaker 4: synchronized cuts over the course of this year, which should 38 00:02:04,240 --> 00:02:05,920 Speaker 4: be very supportive for markets. 39 00:02:06,120 --> 00:02:07,880 Speaker 1: Yeah, could you talk a little bit more about what 40 00:02:07,920 --> 00:02:10,480 Speaker 1: you see as the markets play here, because we've talked 41 00:02:10,560 --> 00:02:13,800 Speaker 1: so frequently on this radio program about how frothy equity 42 00:02:13,840 --> 00:02:16,520 Speaker 1: markets are getting. So where does an investor go here? 43 00:02:16,919 --> 00:02:20,160 Speaker 4: Well, I think an investor needs to be well diversified. 44 00:02:20,480 --> 00:02:23,720 Speaker 4: We shouldn't ignore the US, but we do know that 45 00:02:23,880 --> 00:02:28,440 Speaker 4: valuations are much higher here than elsewhere, and so this 46 00:02:28,520 --> 00:02:32,359 Speaker 4: is a great opportunity to sharpen pencils and look around 47 00:02:32,400 --> 00:02:38,279 Speaker 4: the world for potential, and that potential can come from Japan. Interestingly, 48 00:02:38,560 --> 00:02:43,639 Speaker 4: their central bag is in a different place, just beginning tightening, 49 00:02:43,720 --> 00:02:47,679 Speaker 4: normalizing monetary policy. But that is a vote of confidence 50 00:02:47,680 --> 00:02:52,680 Speaker 4: in the Japanese economy, and I think well really spur 51 00:02:52,919 --> 00:02:57,639 Speaker 4: attention more investor interest in the Japanese stock market. Emerging 52 00:02:57,680 --> 00:03:03,200 Speaker 4: markets valuation opportunity abound, and in particular Asia em looks 53 00:03:03,240 --> 00:03:08,720 Speaker 4: attractive right now. There's growth potential there as well as valuations, 54 00:03:08,760 --> 00:03:11,800 Speaker 4: and against supportive monetary policy, we're likely to see a 55 00:03:11,840 --> 00:03:16,440 Speaker 4: weakening US dollar, which should help going outside the US. 56 00:03:16,760 --> 00:03:19,880 Speaker 4: But again there's still opportunity in the US, so investors 57 00:03:19,880 --> 00:03:22,760 Speaker 4: shouldn't ignore it, and I shouldn't be just talking about equities. 58 00:03:22,919 --> 00:03:26,320 Speaker 4: There are opportunities in fixed income. We're in a different 59 00:03:26,320 --> 00:03:30,320 Speaker 4: place than than where we've been for years in terms 60 00:03:30,320 --> 00:03:32,959 Speaker 4: of yield. We had lived in a yield scarce environment. 61 00:03:33,240 --> 00:03:35,520 Speaker 4: We're not there. I wouldn't say it's a golden age 62 00:03:35,520 --> 00:03:38,520 Speaker 4: of fixed income. But fixed income looks very attractive, and 63 00:03:38,560 --> 00:03:40,560 Speaker 4: there are a whole variety of areas that we can 64 00:03:40,640 --> 00:03:45,480 Speaker 4: choose from to make a diversified portfolio. Investment great credit 65 00:03:45,480 --> 00:03:49,560 Speaker 4: looks very attractive to me, but certainly opportunities in emerging markets, 66 00:03:49,640 --> 00:03:54,680 Speaker 4: high yield municipals. Again, there is so much an abundance. 67 00:03:54,720 --> 00:03:57,320 Speaker 4: So if you think about twenty twenty two as an 68 00:03:57,400 --> 00:04:02,160 Speaker 4: anis horribilis for markets, I think that it's something different, 69 00:04:02,240 --> 00:04:04,960 Speaker 4: a very different today and much better environment. 70 00:04:05,240 --> 00:04:06,800 Speaker 2: I kin I want to go to fixed income because 71 00:04:06,800 --> 00:04:08,800 Speaker 2: I'm wondering. I'm just looking at my screen here, Christina, 72 00:04:08,800 --> 00:04:11,320 Speaker 2: and I can just go over to a two year 73 00:04:11,640 --> 00:04:14,280 Speaker 2: United States Treasury and get four points six percent. That 74 00:04:14,360 --> 00:04:16,880 Speaker 2: seems pretty darn good. I mean, is that the trade 75 00:04:16,920 --> 00:04:18,600 Speaker 2: in fixing com or do I try to take some 76 00:04:19,560 --> 00:04:22,520 Speaker 2: credit risk here and think about investment grade credit or 77 00:04:22,560 --> 00:04:25,440 Speaker 2: maybe even what really has been the best performer in 78 00:04:25,480 --> 00:04:27,000 Speaker 2: fixing them, which is high yield. 79 00:04:27,040 --> 00:04:28,520 Speaker 3: How do I think about credit risk? 80 00:04:29,720 --> 00:04:32,159 Speaker 4: Well, I'm a big believer in diversification and thinking for 81 00:04:32,200 --> 00:04:35,160 Speaker 4: the longer term. I don't think it should be about treasuries. 82 00:04:35,720 --> 00:04:38,520 Speaker 4: I think there's a lot of opportunity moving out on 83 00:04:38,560 --> 00:04:41,960 Speaker 4: the risk spectrum, investment grade credit to me is a 84 00:04:41,960 --> 00:04:45,320 Speaker 4: sweet spot. But certainly high yield has been a strong performer. 85 00:04:45,680 --> 00:04:50,560 Speaker 4: And given what we're seeing in the US economy, how 86 00:04:50,680 --> 00:04:54,760 Speaker 4: it looks like a softer landing than we had died. 87 00:04:55,240 --> 00:04:58,560 Speaker 4: I think that makes the case for moving out having 88 00:04:58,640 --> 00:05:01,760 Speaker 4: exposure to high yield. Don't forget Muni's where there's some 89 00:05:01,960 --> 00:05:06,360 Speaker 4: very attractive yeals right now. So there is a lot 90 00:05:06,520 --> 00:05:09,560 Speaker 4: of opportunity. And of course don't forget emerging market. It's 91 00:05:09,600 --> 00:05:10,320 Speaker 4: dead in there. 92 00:05:10,640 --> 00:05:13,000 Speaker 1: Is there anything that you like in particular in emerging markets? 93 00:05:13,000 --> 00:05:16,279 Speaker 1: I mean you mentioned earlier Asia, but anything in Latin America, 94 00:05:16,320 --> 00:05:17,200 Speaker 1: anything in Africa. 95 00:05:17,839 --> 00:05:23,279 Speaker 4: Well, certainly Mexico benefits from a US economy, and so 96 00:05:23,640 --> 00:05:25,800 Speaker 4: I think what we're going to see in the US 97 00:05:26,040 --> 00:05:29,159 Speaker 4: is a pleasant surprise this year. I've been a believer 98 00:05:29,240 --> 00:05:31,719 Speaker 4: that we'd see a bumpy landing. I don't think it's 99 00:05:31,720 --> 00:05:34,359 Speaker 4: going to be as bumpy as I had anticipated, and 100 00:05:34,400 --> 00:05:36,920 Speaker 4: that should be good news for country like Mexico. 101 00:05:37,680 --> 00:05:39,560 Speaker 3: All right, Christina, thank you so much for joining us. 102 00:05:39,640 --> 00:05:44,000 Speaker 3: Christina Hooper. She is the chief Global market strategist for Investco. 103 00:05:54,400 --> 00:05:56,720 Speaker 2: Big Week in Technology let's get a couple of our 104 00:05:56,760 --> 00:05:58,120 Speaker 2: top technology analysts. 105 00:05:58,120 --> 00:05:59,800 Speaker 3: We got them together here on a Rock. 106 00:06:00,080 --> 00:06:04,360 Speaker 2: Na joins us via zoom from Chicago, and Man Deep 107 00:06:04,400 --> 00:06:07,320 Speaker 2: saying he's here in a Bloomberg interactor broker's studio on Rock. 108 00:06:07,400 --> 00:06:08,680 Speaker 2: Let's start with you here. I want to start with 109 00:06:08,680 --> 00:06:10,960 Speaker 2: Apple here. The more I read about this, I'm just 110 00:06:11,440 --> 00:06:13,599 Speaker 2: you know about Apple have facing these anti trust suits 111 00:06:14,480 --> 00:06:18,960 Speaker 2: both here in the US and abroad, have some regulatory challenges. 112 00:06:19,240 --> 00:06:22,560 Speaker 2: I'm not sure if this is a Microsoft thing from 113 00:06:22,920 --> 00:06:26,119 Speaker 2: kind of the nineties whereby I was kind of a 114 00:06:26,240 --> 00:06:29,520 Speaker 2: casting a pall over the stock that just couldn't get 115 00:06:29,560 --> 00:06:32,320 Speaker 2: out of or is it something that this story can 116 00:06:32,360 --> 00:06:34,960 Speaker 2: power through. What's the early read when you talked to 117 00:06:35,000 --> 00:06:35,919 Speaker 2: investors these days? 118 00:06:37,000 --> 00:06:39,560 Speaker 5: Yeah, I mean I mouse confess I was surprised by 119 00:06:39,600 --> 00:06:42,479 Speaker 5: the stock reaction yesterday. I mean, everybody knew this was 120 00:06:42,480 --> 00:06:45,320 Speaker 5: going to happen, so why the surprise And that was 121 00:06:45,360 --> 00:06:48,440 Speaker 5: a bit confusing. But having said that, you know, Apple 122 00:06:48,560 --> 00:06:50,880 Speaker 5: generates so much for a cash flow. It is truly 123 00:06:50,920 --> 00:06:54,160 Speaker 5: the bohemoth when it comes to their operating system, and 124 00:06:54,240 --> 00:06:56,479 Speaker 5: people are taking shots at it and this is not 125 00:06:56,560 --> 00:06:58,479 Speaker 5: going to end and it's a big overhang for the 126 00:06:58,480 --> 00:07:00,919 Speaker 5: stock over the next Cinnicks several years. You know, this 127 00:07:01,040 --> 00:07:02,760 Speaker 5: is not going to go through in the next six 128 00:07:02,800 --> 00:07:05,719 Speaker 5: months or twelve months. This is a multi year problem now, 129 00:07:06,320 --> 00:07:06,880 Speaker 5: I guess. 130 00:07:06,680 --> 00:07:09,840 Speaker 1: Mandy, could you talk a little bit about another issue 131 00:07:09,840 --> 00:07:12,440 Speaker 1: that Apple's been facing. It's had a string of pretty 132 00:07:12,440 --> 00:07:14,480 Speaker 1: bad news about where it is on AI. We have 133 00:07:15,040 --> 00:07:17,440 Speaker 1: these headlines that just have crossed that Apples and talks 134 00:07:17,440 --> 00:07:21,200 Speaker 1: to use bydos Ai and it's Chinese iPhones. You know, 135 00:07:21,240 --> 00:07:23,640 Speaker 1: we had this scoop earlier about the potential tie up 136 00:07:23,680 --> 00:07:26,240 Speaker 1: with Google for AI. I mean, it doesn't look like 137 00:07:26,280 --> 00:07:28,720 Speaker 1: it's really anywhere and the thing that is most hot 138 00:07:28,760 --> 00:07:30,880 Speaker 1: among investors, I. 139 00:07:30,880 --> 00:07:33,720 Speaker 6: Won't characterize it that way. I think in the end, 140 00:07:34,200 --> 00:07:37,440 Speaker 6: Jenni is still so early that you know, when we 141 00:07:37,480 --> 00:07:41,240 Speaker 6: think about who is the real beneficiary, obviously it's Nvidia, 142 00:07:41,360 --> 00:07:43,880 Speaker 6: and when it comes to on device Jenni, which is 143 00:07:43,920 --> 00:07:48,080 Speaker 6: where Apple plays in, nobody is a standout. Yes, Google 144 00:07:48,120 --> 00:07:51,440 Speaker 6: has a model, and obviously Apple is talking about leveraging 145 00:07:51,480 --> 00:07:55,120 Speaker 6: Google Gemini. But maybe it's a sound strategy to have 146 00:07:55,200 --> 00:07:58,480 Speaker 6: a Chinese vendor provide the LM for the Chinese phones, 147 00:07:58,520 --> 00:08:02,760 Speaker 6: because when it comes to LM chatbot functionality. It's all 148 00:08:02,800 --> 00:08:07,200 Speaker 6: about the local language, the local knowledge that the LLLM embeds, 149 00:08:07,280 --> 00:08:10,000 Speaker 6: and it may actually turn out to be a good 150 00:08:10,040 --> 00:08:15,040 Speaker 6: strategy to use local llms wherever Apple has an install base. 151 00:08:15,400 --> 00:08:19,280 Speaker 2: LLM definition Large Language model, which I know that because 152 00:08:19,320 --> 00:08:21,320 Speaker 2: I read the research coming from nDEP and on a 153 00:08:21,400 --> 00:08:25,080 Speaker 2: rock an rag another Apple issue here, and then maybe 154 00:08:25,120 --> 00:08:27,440 Speaker 2: we can broad it out a little bit. But again 155 00:08:27,480 --> 00:08:29,880 Speaker 2: I think I probably speak for most Apple investors is 156 00:08:29,920 --> 00:08:32,360 Speaker 2: I'm still trying to get my head around China. What 157 00:08:32,600 --> 00:08:34,600 Speaker 2: is the risk there for me China, both from a 158 00:08:34,679 --> 00:08:38,120 Speaker 2: demand for my products in China and maybe to a 159 00:08:38,200 --> 00:08:40,880 Speaker 2: lesser extent to supply chain, But that supply chain issue 160 00:08:40,880 --> 00:08:43,640 Speaker 2: still on the table. Where are you where? Where's the 161 00:08:43,679 --> 00:08:47,480 Speaker 2: street on kind of sussing out the China risk for Apple. 162 00:08:48,400 --> 00:08:50,200 Speaker 5: So when you look at you know, Apple, let's over 163 00:08:50,200 --> 00:08:53,200 Speaker 5: a ten year history. It really made inroads in the 164 00:08:53,280 --> 00:08:56,600 Speaker 5: US and the Western world, controlling market share. But the 165 00:08:56,640 --> 00:08:59,360 Speaker 5: next big market is China and that's they were doing well. 166 00:08:59,640 --> 00:09:03,240 Speaker 5: The phone came out last year. It really underscored that 167 00:09:03,800 --> 00:09:06,600 Speaker 5: there was refresh cycle for that particular phone that hasn't 168 00:09:06,600 --> 00:09:09,840 Speaker 5: happened in years. Consumer weakness in China, and Apple's just 169 00:09:09,880 --> 00:09:12,280 Speaker 5: losing market share at this point in terms of you know, 170 00:09:12,320 --> 00:09:14,680 Speaker 5: every quarter when they come out, and it's been a 171 00:09:14,800 --> 00:09:17,280 Speaker 5: very tough market. I don't see that changing at least 172 00:09:17,280 --> 00:09:21,120 Speaker 5: this year. They really need a catalyst to really go 173 00:09:21,200 --> 00:09:22,960 Speaker 5: out and say that, you know, we can we can 174 00:09:23,120 --> 00:09:26,400 Speaker 5: really work in China. Maybe the LLM, maybe the bartorship 175 00:09:26,400 --> 00:09:28,880 Speaker 5: with Baido is one of them. But having said that, 176 00:09:28,960 --> 00:09:31,199 Speaker 5: I don't see any chances that they're going to have 177 00:09:31,240 --> 00:09:35,280 Speaker 5: a big rebound in China at least this year, barning. 178 00:09:35,040 --> 00:09:37,160 Speaker 1: It out a little bit. Another really big tech story 179 00:09:37,240 --> 00:09:40,240 Speaker 1: this week is the Reddit IPO. I mean, that's gone 180 00:09:40,360 --> 00:09:43,160 Speaker 1: incredibly well. Mandy, canase start with you just to talk 181 00:09:43,200 --> 00:09:46,600 Speaker 1: about what your read is on how enthusiastic investors have 182 00:09:46,640 --> 00:09:48,160 Speaker 1: been for this, and like, do you think that this 183 00:09:48,320 --> 00:09:50,720 Speaker 1: is really an AI play? Paul is skeptical. 184 00:09:51,720 --> 00:09:54,640 Speaker 6: So, I mean, as I mentioned yesterday when I was 185 00:09:54,679 --> 00:09:58,760 Speaker 6: on your show, that look, Reddit has got something unique 186 00:09:58,760 --> 00:10:01,520 Speaker 6: when it comes to the user data and you know, 187 00:10:01,640 --> 00:10:05,679 Speaker 6: having the wide breadth of online communities, and that is 188 00:10:06,760 --> 00:10:10,320 Speaker 6: I think, really something that stands out versus other social 189 00:10:10,360 --> 00:10:13,440 Speaker 6: media platforms which are far bigger than Reddit. So the 190 00:10:13,480 --> 00:10:16,280 Speaker 6: criticism that I get from investors is it's an eighteen 191 00:10:16,400 --> 00:10:19,480 Speaker 6: year old company that it's not profitable, and for the 192 00:10:19,520 --> 00:10:22,080 Speaker 6: first ten years of its existence it didn't even have 193 00:10:22,160 --> 00:10:24,640 Speaker 6: an ADS model. So it's really in the last five 194 00:10:24,720 --> 00:10:28,480 Speaker 6: years they've started layering ADS and the IPO is coming 195 00:10:28,520 --> 00:10:31,560 Speaker 6: at a good time with this whole JENNYI wave because 196 00:10:32,080 --> 00:10:35,600 Speaker 6: everybody needs to train their models and if you're looking 197 00:10:35,640 --> 00:10:39,839 Speaker 6: for tech's corpus, Reddit is the go to place. So 198 00:10:40,280 --> 00:10:44,120 Speaker 6: to my mind, any product with stickiness where users come 199 00:10:44,160 --> 00:10:46,520 Speaker 6: to your platform every day, and in reddits case, they 200 00:10:46,600 --> 00:10:49,319 Speaker 6: need to boost their daily active users. Their monthly active 201 00:10:49,400 --> 00:10:52,680 Speaker 6: users is far higher than their daily active users. If 202 00:10:52,720 --> 00:10:55,320 Speaker 6: they're able to execute on that, I think they'll do 203 00:10:55,440 --> 00:10:57,640 Speaker 6: quite well in terms of the first six months of 204 00:10:57,679 --> 00:10:58,080 Speaker 6: the IPO. 205 00:10:58,320 --> 00:10:59,800 Speaker 3: Yeah, and you were dead on yesterday. 206 00:10:59,800 --> 00:11:03,800 Speaker 2: You're bullsh yesterday you're against my skepticism here. Stock rallied 207 00:11:04,000 --> 00:11:07,359 Speaker 2: just big time there, So good news for the redifilks, 208 00:11:07,360 --> 00:11:10,280 Speaker 2: good news for the IPO market, even after we had 209 00:11:10,280 --> 00:11:13,520 Speaker 2: that astera of the day before. Also a big aiplan 210 00:11:13,559 --> 00:11:15,880 Speaker 2: net stock is training really well on the IPO market. 211 00:11:16,120 --> 00:11:19,000 Speaker 2: Hey Anna Rod, I think you know the name that 212 00:11:19,040 --> 00:11:20,760 Speaker 2: I know you've been panning the table on a lot. 213 00:11:20,880 --> 00:11:23,600 Speaker 2: Is Microsoft here? What's the latest call here? 214 00:11:24,400 --> 00:11:24,520 Speaker 4: On? 215 00:11:24,640 --> 00:11:27,000 Speaker 2: Microsoft is still firmly in that magnificent I don't know 216 00:11:27,000 --> 00:11:29,120 Speaker 2: whether it's five or seven, what it is these days, 217 00:11:29,120 --> 00:11:30,360 Speaker 2: but what's the call here? 218 00:11:31,240 --> 00:11:32,960 Speaker 5: I think in the software world, if you want to 219 00:11:33,040 --> 00:11:35,920 Speaker 5: just pick one company that is truly exposed to AI 220 00:11:36,320 --> 00:11:38,920 Speaker 5: in the most direct way, it is Microsoft right now. 221 00:11:38,920 --> 00:11:42,000 Speaker 5: And I don't see anything changes. I'm actually surprised they 222 00:11:42,040 --> 00:11:44,040 Speaker 5: can go out and pays sic center fifteen million and 223 00:11:44,120 --> 00:11:46,920 Speaker 5: hire so many people and nobody says anything about it. 224 00:11:46,960 --> 00:11:49,200 Speaker 5: I mean, maybe this is the new way of acquiring companies. 225 00:11:49,880 --> 00:11:51,920 Speaker 5: I mean, it is remarkable the amount of money they're 226 00:11:51,960 --> 00:11:55,400 Speaker 5: spending on both on expanding their data centers for cloud 227 00:11:55,480 --> 00:11:58,840 Speaker 5: as well as AI. I see them, you know, differentiating 228 00:11:58,920 --> 00:12:02,000 Speaker 5: their more compare to others over the next few years. 229 00:12:02,200 --> 00:12:03,880 Speaker 1: But I guess one thing, can we just can I 230 00:12:03,960 --> 00:12:06,800 Speaker 1: just keep with this point any ark, because with Microsoft 231 00:12:06,880 --> 00:12:10,320 Speaker 1: they're spread across so many different areas. I mean, you 232 00:12:10,400 --> 00:12:12,840 Speaker 1: start to feel like that old anti trust sort of 233 00:12:13,200 --> 00:12:15,760 Speaker 1: vibe is starting to come back for Microsoft, that regulators 234 00:12:15,840 --> 00:12:17,280 Speaker 1: might start getting really really worried. 235 00:12:18,240 --> 00:12:20,480 Speaker 5: Yeah, as soon as you get a decent amount of 236 00:12:20,480 --> 00:12:22,760 Speaker 5: free cash flow. You will see the regulators come in. 237 00:12:22,840 --> 00:12:25,240 Speaker 5: But I mean, this is nothing that they haven't dealt 238 00:12:25,240 --> 00:12:27,679 Speaker 5: with in the past. There's not one tech company right 239 00:12:27,720 --> 00:12:29,760 Speaker 5: now that's not dealing with them, and I don't think 240 00:12:29,800 --> 00:12:30,720 Speaker 5: that's going to change. 241 00:12:30,880 --> 00:12:32,600 Speaker 2: I mean, it stocks up. I mean, first of all, 242 00:12:32,600 --> 00:12:36,480 Speaker 2: it's a three point two trillion dollar market cap company. 243 00:12:36,480 --> 00:12:37,120 Speaker 3: It's just amazing. 244 00:12:37,160 --> 00:12:40,400 Speaker 2: Year to date, the stocks up fourteen percent, trailling twelve months, 245 00:12:40,480 --> 00:12:45,400 Speaker 2: up sixty percent pe on the June twenty four it's thirty. 246 00:12:45,160 --> 00:12:47,199 Speaker 3: Six times, you know. But you know a lot of 247 00:12:47,200 --> 00:12:49,200 Speaker 3: folks will tell you, hey, we'll grow into that. All right. 248 00:12:49,280 --> 00:12:51,160 Speaker 2: Mandy, you cover so much in the tech space. What's 249 00:12:51,160 --> 00:12:53,120 Speaker 2: your top idea here? What are you guys talking about 250 00:12:53,120 --> 00:12:53,840 Speaker 2: the most these days? 251 00:12:53,880 --> 00:12:56,640 Speaker 6: I mean, right now, our top focus idea is Alphabet 252 00:12:56,840 --> 00:12:59,800 Speaker 6: because all the criticism they've been getting and you know 253 00:12:59,800 --> 00:13:02,520 Speaker 6: the fact that everyone is talking about them losing share 254 00:13:02,559 --> 00:13:05,920 Speaker 6: and search. We got one validation that there are no 255 00:13:06,760 --> 00:13:09,400 Speaker 6: more behind in terms of large anglid model race with 256 00:13:09,720 --> 00:13:13,400 Speaker 6: Apple considering you know, Google Gemini to be the model 257 00:13:13,440 --> 00:13:16,080 Speaker 6: and not Open AI or any other models out there. 258 00:13:16,440 --> 00:13:20,360 Speaker 6: And look, when it comes to search, I think Google 259 00:13:20,480 --> 00:13:23,000 Speaker 6: has the best platform when it comes to add tech 260 00:13:23,040 --> 00:13:24,840 Speaker 6: and time and again we see that. You know, with 261 00:13:25,000 --> 00:13:28,199 Speaker 6: other social media platforms, they're not able to monetize their 262 00:13:28,320 --> 00:13:32,200 Speaker 6: user base and engagement as well as Google does. And 263 00:13:32,280 --> 00:13:34,400 Speaker 6: you see that with Reddit, you see that with Twitter. 264 00:13:34,760 --> 00:13:37,680 Speaker 6: That's why Google search is so unique, because they're able 265 00:13:37,720 --> 00:13:40,920 Speaker 6: to monetize it far better than everyone else. So I'm 266 00:13:40,960 --> 00:13:42,760 Speaker 6: in the camp that they will hold on to their 267 00:13:42,760 --> 00:13:45,560 Speaker 6: search share. In fact, the search market will grow as 268 00:13:45,559 --> 00:13:48,199 Speaker 6: a result of the large anglid models, and Google will 269 00:13:48,200 --> 00:13:49,000 Speaker 6: be a beneficiary. 270 00:13:49,040 --> 00:13:52,880 Speaker 2: All right, Google, googg I'm sorry. Goog l is a 271 00:13:52,920 --> 00:13:55,280 Speaker 2: ticker for the pros out there. It's got a market 272 00:13:55,320 --> 00:13:57,480 Speaker 2: cap at one point eight billion dollars. 273 00:13:57,480 --> 00:14:00,640 Speaker 3: The stuck is trillion. Thank you very much for that correction. 274 00:14:00,679 --> 00:14:02,520 Speaker 3: Thank you. You even beat out Rich Truman on that. 275 00:14:02,720 --> 00:14:04,640 Speaker 2: Stocks up five percent year to date, up forty two 276 00:14:04,640 --> 00:14:07,120 Speaker 2: percent trailing twelve month. Anurag Ran A man Deep Singh 277 00:14:07,240 --> 00:14:10,720 Speaker 2: a couple of our top top leaders in technology research 278 00:14:10,760 --> 00:14:11,920 Speaker 2: for Bloomberg Intelligence. 279 00:14:12,120 --> 00:14:13,120 Speaker 3: They drive the business. 280 00:14:17,840 --> 00:14:21,520 Speaker 2: Let's talk energy here and sustainable energy, and to do that, 281 00:14:21,560 --> 00:14:23,160 Speaker 2: one of the folks we like to check in with 282 00:14:23,200 --> 00:14:25,240 Speaker 2: is Jonathan Maxoy. He's a CEO and co founder of 283 00:14:25,320 --> 00:14:28,920 Speaker 2: sustainable development capital. The name says it all. He joins 284 00:14:29,000 --> 00:14:30,920 Speaker 2: us here on a Bloomberg Interactive Brokers studio. He was 285 00:14:30,920 --> 00:14:33,360 Speaker 2: also the author of a new book which I will 286 00:14:33,400 --> 00:14:37,040 Speaker 2: Plug the Edge, How competition for resources is pushing the 287 00:14:37,080 --> 00:14:39,360 Speaker 2: world and its climate to the brink, and what we 288 00:14:39,400 --> 00:14:41,880 Speaker 2: can do about it. Jonathan, thanks so much for joining 289 00:14:41,960 --> 00:14:45,440 Speaker 2: us here. Did we have President Biden in the administration 290 00:14:45,560 --> 00:14:48,720 Speaker 2: do something with liquefied natural gas and people in the 291 00:14:48,800 --> 00:14:50,640 Speaker 2: energy patch? An, I'm so happy about it. What's going 292 00:14:50,680 --> 00:14:51,040 Speaker 2: on there? 293 00:14:51,160 --> 00:14:54,480 Speaker 7: Yeah, So, a couple of weeks ago there was a 294 00:14:54,800 --> 00:15:01,320 Speaker 7: moratorium on exports new export licenses though export of liquefied 295 00:15:01,360 --> 00:15:04,920 Speaker 7: natural gas to Europe. I'm in putting this into context. 296 00:15:05,440 --> 00:15:11,600 Speaker 7: Europe had to scramble for gas after Russia's invasion of Ukraine. 297 00:15:11,640 --> 00:15:14,360 Speaker 7: And where do you get it from? Well, you know, Kata, Norway. 298 00:15:14,400 --> 00:15:17,320 Speaker 7: But actually one of the biggest, if not the biggest 299 00:15:17,440 --> 00:15:21,480 Speaker 7: exporters is the United States. Right So now, having said 300 00:15:21,480 --> 00:15:24,800 Speaker 7: all of that, we had an announcwerment this week from 301 00:15:24,840 --> 00:15:26,880 Speaker 7: the White House to say, don't worry, you know it 302 00:15:26,960 --> 00:15:29,120 Speaker 7: will be within a year. We'll let these new export 303 00:15:29,160 --> 00:15:32,120 Speaker 7: licenses come back. There was already just to put this 304 00:15:32,160 --> 00:15:36,960 Speaker 7: into context, about fifty billion cubic feet per day authorized. 305 00:15:37,120 --> 00:15:39,680 Speaker 7: That's three times the level of today's exports. So this 306 00:15:39,760 --> 00:15:42,320 Speaker 7: isn't anything to panic about in the short run. Now 307 00:15:42,400 --> 00:15:46,280 Speaker 7: this was dressed or explained as a climate initiative. Now 308 00:15:46,280 --> 00:15:49,160 Speaker 7: I'm in the sustainability business, I would love to think that. 309 00:15:49,280 --> 00:15:52,720 Speaker 7: I'm also expecting having said that, that some thought has 310 00:15:52,760 --> 00:15:54,240 Speaker 7: had to be given to what it could do to 311 00:15:54,840 --> 00:15:58,400 Speaker 7: US prices. Do you know how much more expensive it 312 00:15:58,480 --> 00:16:01,600 Speaker 7: is to buy gas in the versus the United States? 313 00:16:01,840 --> 00:16:04,480 Speaker 7: A lot four to eight times on average over the 314 00:16:04,520 --> 00:16:07,640 Speaker 7: last five years or so, And it's never really over 315 00:16:07,640 --> 00:16:10,600 Speaker 7: the last decade been cheaper other than in one month, 316 00:16:10,640 --> 00:16:13,080 Speaker 7: which was in COVID when everything went upside down. So 317 00:16:13,440 --> 00:16:15,320 Speaker 7: you know, this is a big issue for Europe. It's 318 00:16:15,360 --> 00:16:18,040 Speaker 7: a huge opportunity for the United States to step into 319 00:16:18,080 --> 00:16:19,040 Speaker 7: Russia's shoes here. 320 00:16:19,240 --> 00:16:22,200 Speaker 1: So if it's a huge opportunity for the United States, 321 00:16:22,440 --> 00:16:24,720 Speaker 1: it does still seem to me that President brien has 322 00:16:24,720 --> 00:16:27,680 Speaker 1: just kind of completely undercut that potential advantage, or am 323 00:16:27,720 --> 00:16:28,400 Speaker 1: I missing something? 324 00:16:28,480 --> 00:16:31,960 Speaker 7: I think there's a moratorium. The White House has effectively 325 00:16:32,000 --> 00:16:35,800 Speaker 7: said the moratorium is pretty short lived, and it won't 326 00:16:35,880 --> 00:16:38,240 Speaker 7: really affect anything in the short run. I think the 327 00:16:38,600 --> 00:16:42,720 Speaker 7: bigger picture really for the US, it's an extraordinary energy position. 328 00:16:42,840 --> 00:16:47,720 Speaker 7: It's energy independent, it's the largest largest exporter actually potentially 329 00:16:47,720 --> 00:16:49,640 Speaker 7: of oil and gas in the world. So this is 330 00:16:49,720 --> 00:16:53,080 Speaker 7: quite a challenge. Actually, this is now a big Petra state. 331 00:16:53,160 --> 00:16:57,600 Speaker 7: What do you do in a changing environmental and climate world? 332 00:16:57,680 --> 00:17:00,880 Speaker 2: All right, so we're a sustainable development capital. Where are 333 00:17:00,920 --> 00:17:02,880 Speaker 2: you guys deploying your capital these day? Is where do 334 00:17:02,880 --> 00:17:04,800 Speaker 2: you think is some of the greatest opportunities. 335 00:17:04,840 --> 00:17:07,920 Speaker 7: So look, half of half of our investment, maybe more, 336 00:17:08,040 --> 00:17:11,440 Speaker 7: is actually coming into the United States, So we invest 337 00:17:12,080 --> 00:17:15,400 Speaker 7: in a different type of solution to everybody else, whether 338 00:17:15,600 --> 00:17:17,320 Speaker 7: most of the money is focused. This is big business. 339 00:17:17,480 --> 00:17:19,080 Speaker 7: Energy is one of the biggest business in the world. 340 00:17:19,200 --> 00:17:22,080 Speaker 7: Nine trillion has been invested in renewables. So if you 341 00:17:22,119 --> 00:17:24,520 Speaker 7: think of US as somebody in the clean energy sector, 342 00:17:24,520 --> 00:17:27,399 Speaker 7: you would expect as maybe to be building wind farms 343 00:17:27,480 --> 00:17:30,600 Speaker 7: or sellar parks and plugging it into the grid. The 344 00:17:30,600 --> 00:17:33,719 Speaker 7: place that we get excited actually is what with the 345 00:17:33,720 --> 00:17:36,560 Speaker 7: customer rather than the grid. You're going to have to 346 00:17:36,600 --> 00:17:38,760 Speaker 7: spend California alone is going to have to spend eighty 347 00:17:38,880 --> 00:17:41,600 Speaker 7: billion to build out its grid over the next decade, 348 00:17:41,680 --> 00:17:44,720 Speaker 7: just to transport the existing energy systems. If I told 349 00:17:44,760 --> 00:17:46,320 Speaker 7: you as I do when I come on your show, 350 00:17:46,600 --> 00:17:48,960 Speaker 7: how nuts it is that in the United States in 351 00:17:49,040 --> 00:17:51,720 Speaker 7: Europe about two thirds to seventy percent of the primary 352 00:17:51,800 --> 00:17:54,840 Speaker 7: energy is wasted or lost before it gets to the point. 353 00:17:54,960 --> 00:17:57,680 Speaker 2: I never understood that again, So after seventy percent of 354 00:17:57,720 --> 00:18:01,480 Speaker 2: the energy produced just gets wasted, it goes up into 355 00:18:01,480 --> 00:18:04,400 Speaker 2: the right the air, of the atmosphere, of the everywhere else. 356 00:18:04,440 --> 00:18:08,200 Speaker 7: Yeah, I'll unpack it very quickly, but because it is extraordinary, 357 00:18:08,240 --> 00:18:10,520 Speaker 7: it's the biggest dirty secret of the energy sector, and 358 00:18:10,560 --> 00:18:12,400 Speaker 7: I'll just unpack it to begin. It's why I wrote 359 00:18:12,400 --> 00:18:14,639 Speaker 7: the book actually, and thousands of people read it, and 360 00:18:14,640 --> 00:18:16,360 Speaker 7: if anybody would like to take casure with it, I'd 361 00:18:16,400 --> 00:18:19,240 Speaker 7: love to get your email. So the biggest loss of 362 00:18:19,359 --> 00:18:23,160 Speaker 7: energy happens actually in centralized energy systems. Gas and nuclear 363 00:18:23,240 --> 00:18:25,119 Speaker 7: are two of the largest other than coal, and the 364 00:18:25,119 --> 00:18:28,159 Speaker 7: two of the largest producers of electricity, for example, in 365 00:18:28,200 --> 00:18:31,399 Speaker 7: the United States. The problem is when you put either 366 00:18:31,440 --> 00:18:34,879 Speaker 7: a gas molecule in a turbine or frankly nuclear fuel 367 00:18:34,880 --> 00:18:37,800 Speaker 7: and a power station, only about half of it turns 368 00:18:37,800 --> 00:18:40,639 Speaker 7: into electricity. What happens to the other half, it turns 369 00:18:40,640 --> 00:18:44,720 Speaker 7: into heat. Now, if that heat is being produced very 370 00:18:44,760 --> 00:18:48,240 Speaker 7: far away from the energy load, in other words, where 371 00:18:48,240 --> 00:18:51,720 Speaker 7: the demand is what happens to it, well, not nothing, 372 00:18:51,760 --> 00:18:55,000 Speaker 7: it gets it just disappears into the atmosphere. Ultimately, the 373 00:18:55,000 --> 00:18:57,240 Speaker 7: bits that do escape into space, they don't need it 374 00:18:57,320 --> 00:18:59,760 Speaker 7: up there. So that's the biggest part of the loss. 375 00:18:59,800 --> 00:19:01,640 Speaker 7: It's what they call thermal loss is at the point 376 00:19:01,680 --> 00:19:04,600 Speaker 7: of generation. The solution to that is to generate closer 377 00:19:04,640 --> 00:19:06,040 Speaker 7: to where you need the energy, and then you could 378 00:19:06,080 --> 00:19:09,520 Speaker 7: use the heat, but we don't. There are other bits 379 00:19:09,560 --> 00:19:12,280 Speaker 7: of loss which happen. You lose about ten percent on 380 00:19:12,400 --> 00:19:15,560 Speaker 7: extracting and converting oil and gas, for example, into pipelines. 381 00:19:15,600 --> 00:19:17,159 Speaker 7: Why do I talk about oil and gas as a 382 00:19:17,200 --> 00:19:20,200 Speaker 7: sustainability guy, because eighty percent of the world's energy still 383 00:19:20,240 --> 00:19:22,840 Speaker 7: fossil fuels or oil, gas and coal. And then the 384 00:19:22,920 --> 00:19:26,760 Speaker 7: last piece of it is transmission and distribution systems. Washington, 385 00:19:26,840 --> 00:19:29,680 Speaker 7: I was there yesterday and I'm unbelievably happy to see 386 00:19:29,680 --> 00:19:31,320 Speaker 7: that they're looking on the demand side of this too. 387 00:19:31,359 --> 00:19:33,919 Speaker 7: Now because everything's been about grid, good grid, you know, 388 00:19:33,960 --> 00:19:36,160 Speaker 7: we need to invest in more in the grid. That's 389 00:19:36,240 --> 00:19:38,480 Speaker 7: just to get the energy for miles away into town. 390 00:19:38,800 --> 00:19:40,439 Speaker 7: But do you know what, five to ten percent of 391 00:19:40,440 --> 00:19:43,159 Speaker 7: it gets lost through transmission and distribution system. So you 392 00:19:43,160 --> 00:19:45,800 Speaker 7: added out ten percent plus fifty percent plus ten percent. 393 00:19:46,119 --> 00:19:48,479 Speaker 7: And the Lawrences live in more national laboratories. Numbers they 394 00:19:48,520 --> 00:19:52,200 Speaker 7: produce every July show that now in the United States, 395 00:19:52,240 --> 00:19:54,800 Speaker 7: seventy percent of primary energy is lost before it gets 396 00:19:54,800 --> 00:19:55,760 Speaker 7: to the point of use. 397 00:19:56,840 --> 00:19:59,000 Speaker 1: It's incredible, that's an incredible statistic. 398 00:19:59,000 --> 00:19:59,880 Speaker 3: Well, we have just got back. 399 00:20:01,320 --> 00:20:02,879 Speaker 7: But you know, I think, as I said I was 400 00:20:02,880 --> 00:20:05,280 Speaker 7: in DC yesterday, I'm not going to give away in 401 00:20:05,480 --> 00:20:09,240 Speaker 7: particular confidences, but I'm I think this is now the 402 00:20:09,280 --> 00:20:11,680 Speaker 7: big story of the next decade. You know, here we've 403 00:20:12,040 --> 00:20:13,840 Speaker 7: what do we do? You know we've got. 404 00:20:13,680 --> 00:20:15,879 Speaker 3: Are there technologies to reduce that number? 405 00:20:16,040 --> 00:20:19,320 Speaker 7: Absolutely, Technologies that have existed for a decade, that are 406 00:20:19,320 --> 00:20:22,160 Speaker 7: cost competitive and that are cheaper, cleaner, and more reliable. 407 00:20:22,200 --> 00:20:25,639 Speaker 7: I'll give you a few examples in the United States, 408 00:20:25,680 --> 00:20:27,600 Speaker 7: and we're one of the biggest investors in this space. 409 00:20:27,680 --> 00:20:30,560 Speaker 7: Rooftop solar and storage car ports where you can plug 410 00:20:30,600 --> 00:20:34,240 Speaker 7: directly to the buildings, on site generation. We run on 411 00:20:34,280 --> 00:20:36,560 Speaker 7: site generation for some of the biggest and most important 412 00:20:36,600 --> 00:20:39,359 Speaker 7: steel mills in the United States. So not all of this, 413 00:20:39,560 --> 00:20:44,520 Speaker 7: and that's basically using recycled gases, same stuff turbines and 414 00:20:44,560 --> 00:20:46,800 Speaker 7: engines that people use to generate energy in the middle 415 00:20:46,800 --> 00:20:49,399 Speaker 7: of nowhere. Instead we capture the waste gases and we 416 00:20:49,440 --> 00:20:52,160 Speaker 7: make energy for power and steel on site. Cutting cost, 417 00:20:52,160 --> 00:20:57,160 Speaker 7: cubon and improving reliability data centers is a huge issue, right, 418 00:20:57,400 --> 00:20:59,920 Speaker 7: I mean, it can't go a conversation without talking AI. 419 00:21:00,280 --> 00:21:02,560 Speaker 7: I think it's impolite these days. I'll do it, But 420 00:21:02,600 --> 00:21:05,159 Speaker 7: that AI alone should be about three percent of global 421 00:21:05,240 --> 00:21:07,920 Speaker 7: energy and I demand by the end of this decade. Right, 422 00:21:08,320 --> 00:21:09,760 Speaker 7: but how are you going to get the power to 423 00:21:09,800 --> 00:21:11,680 Speaker 7: the data centers? How are you going to cool them? 424 00:21:11,760 --> 00:21:12,159 Speaker 3: Did you know? 425 00:21:12,280 --> 00:21:14,320 Speaker 7: By the way, for every unit you put into a 426 00:21:14,400 --> 00:21:17,959 Speaker 7: data center of electricity, only zero point sixty five units 427 00:21:17,960 --> 00:21:20,600 Speaker 7: of compute come out the other side. So this is 428 00:21:20,640 --> 00:21:23,160 Speaker 7: the flip side of my point. Even when energy's got there, 429 00:21:23,200 --> 00:21:26,120 Speaker 7: it gets lost at the point of use. So what 430 00:21:26,160 --> 00:21:29,960 Speaker 7: do you do? You improve the mechanic corner, electrical equipment, 431 00:21:30,000 --> 00:21:33,760 Speaker 7: better heating, cooling, In the case of data centers lighting. 432 00:21:34,080 --> 00:21:38,080 Speaker 7: This is the biggest total addressable market in the energy sector, 433 00:21:38,200 --> 00:21:41,880 Speaker 7: not actually about generating more but wasting less. 434 00:21:41,880 --> 00:21:43,879 Speaker 3: See there's somebody that actually does something for a living. 435 00:21:44,000 --> 00:21:46,840 Speaker 3: I mean, I'm my whole wife on wallship pushing paper around. 436 00:21:47,000 --> 00:21:48,600 Speaker 3: That's not These guys actually do stuff. 437 00:21:48,800 --> 00:21:50,879 Speaker 1: Now, it's impressive. 438 00:21:50,520 --> 00:21:51,960 Speaker 3: I know. All right, So let me just let's go 439 00:21:51,960 --> 00:21:52,760 Speaker 3: over this again, folks. 440 00:21:52,800 --> 00:21:56,520 Speaker 2: Jonathan Maxwell, he's a CEO, he's a co founder Sustainable 441 00:21:56,640 --> 00:21:59,720 Speaker 2: Development Capital who's also the author of this book, The Edge, 442 00:22:00,040 --> 00:22:02,640 Speaker 2: How competition for resources is pushing the world and it's 443 00:22:02,680 --> 00:22:05,800 Speaker 2: climate to the brink, and what we can do about it. Again, 444 00:22:06,040 --> 00:22:07,960 Speaker 2: this is to me, this is the energy lost guy. 445 00:22:07,960 --> 00:22:09,879 Speaker 2: He's my energy lost guy. I didn't even know that 446 00:22:09,920 --> 00:22:11,960 Speaker 2: was really a thing, but it's a thing. Jonathan, thanks 447 00:22:11,960 --> 00:22:13,680 Speaker 2: so much for journeys. We really appreciate it. Best of 448 00:22:13,720 --> 00:22:15,439 Speaker 2: luck on that. Keep us up the date on what 449 00:22:15,600 --> 00:22:18,359 Speaker 2: you guys are doing, what the investments are, and what 450 00:22:18,440 --> 00:22:21,240 Speaker 2: our good friends Don and Washington could do to help us. 451 00:22:31,520 --> 00:22:33,399 Speaker 2: All right, folks, you're daily look at the front pages 452 00:22:33,440 --> 00:22:35,320 Speaker 2: around the world. At least miteo what he got for 453 00:22:35,440 --> 00:22:37,240 Speaker 2: us from the newspapers. 454 00:22:37,440 --> 00:22:39,080 Speaker 8: So it's Friday, right, so I figured we do a 455 00:22:39,119 --> 00:22:42,080 Speaker 8: getaway Friday, little travel theme going here. All right, we'll 456 00:22:42,080 --> 00:22:45,000 Speaker 8: start with something on the Bloomberg Boeing directors. 457 00:22:45,000 --> 00:22:47,680 Speaker 9: They're planning to meet next week with top executives. 458 00:22:47,240 --> 00:22:51,560 Speaker 8: From some of their largest airline airline customers who are 459 00:22:51,560 --> 00:22:55,240 Speaker 8: obviously frustrated, frustrated for obvious reasons. One person who won't 460 00:22:55,280 --> 00:22:58,440 Speaker 8: be there though, sources a Tay Bloomberg at CEO Dave Calhoun. 461 00:22:58,840 --> 00:23:00,000 Speaker 9: So that's kind of interest. 462 00:23:00,359 --> 00:23:03,040 Speaker 8: I mean, he's they say he's supportive. 463 00:23:02,560 --> 00:23:05,120 Speaker 9: Of the sessions. Okay, but he won't be there. 464 00:23:05,160 --> 00:23:07,480 Speaker 8: Who will be there as Larry Kellner, he's the chairman 465 00:23:07,520 --> 00:23:11,119 Speaker 8: of Boeing's board, two other three other directors. But it 466 00:23:11,280 --> 00:23:14,040 Speaker 8: just shows that growing frustration that I guess people have 467 00:23:14,200 --> 00:23:14,600 Speaker 8: with him. 468 00:23:14,760 --> 00:23:15,000 Speaker 6: Yeah. 469 00:23:15,080 --> 00:23:17,640 Speaker 1: I feel like, if you're not gonna have the CEO there, 470 00:23:17,800 --> 00:23:21,159 Speaker 1: what is the benefit? What's the upside versus? What is 471 00:23:21,200 --> 00:23:23,720 Speaker 1: the message? Is there a sense that he'll do more 472 00:23:23,760 --> 00:23:26,760 Speaker 1: harm than good, that he's not the one that people 473 00:23:26,800 --> 00:23:29,200 Speaker 1: want to see because they're so angry. What's the deal 474 00:23:29,240 --> 00:23:29,520 Speaker 1: with that? 475 00:23:30,160 --> 00:23:30,360 Speaker 3: Yeah? 476 00:23:30,359 --> 00:23:32,600 Speaker 2: But I mean it's a good it is you can 477 00:23:32,640 --> 00:23:35,520 Speaker 2: make spin. It is a good optical issue here, which 478 00:23:35,560 --> 00:23:38,320 Speaker 2: is the board going out to the big customers saying listen. 479 00:23:39,119 --> 00:23:42,480 Speaker 2: You have our attention here, you have our undivided attention. Yeah, 480 00:23:42,520 --> 00:23:44,439 Speaker 2: we're not coming here telling you anything. We're coming in 481 00:23:44,480 --> 00:23:45,080 Speaker 2: here to listen. 482 00:23:45,520 --> 00:23:46,160 Speaker 3: What do you need? 483 00:23:46,359 --> 00:23:49,280 Speaker 2: We'll take that back to our management team. Maybe maybe 484 00:23:49,320 --> 00:23:50,600 Speaker 2: it's a good thing, but I don't know. It's just 485 00:23:51,359 --> 00:23:55,320 Speaker 2: amazing how this has happened. And we remember asking George Ferguson, 486 00:23:55,359 --> 00:23:58,600 Speaker 2: who covers Boeing for Bloomberg Intelligence, he's covered the company 487 00:23:58,640 --> 00:24:01,960 Speaker 2: for decades. He's never seen it like this, where there 488 00:24:02,000 --> 00:24:06,280 Speaker 2: are so many quality issues here. So these are unusual 489 00:24:06,320 --> 00:24:08,080 Speaker 2: times and maybe some unusual strategies here. 490 00:24:08,200 --> 00:24:11,679 Speaker 8: They're definitely gonna get some unfiltered feedback. Yes, you can say, 491 00:24:12,320 --> 00:24:14,879 Speaker 8: all right, So have you guys ever lost your luggage 492 00:24:15,000 --> 00:24:15,720 Speaker 8: when you've traveled? 493 00:24:15,760 --> 00:24:15,920 Speaker 6: Have you? 494 00:24:15,960 --> 00:24:18,400 Speaker 3: I don't check anything, you don't check to check. Thinks 495 00:24:18,480 --> 00:24:20,159 Speaker 3: since like the eighties, So you fit it all in 496 00:24:20,160 --> 00:24:21,920 Speaker 3: a little back. I go to Europe for two weeks 497 00:24:21,960 --> 00:24:22,760 Speaker 3: with a Duffel bag. 498 00:24:22,840 --> 00:24:25,240 Speaker 1: Oh my gosh, Oh my gosh, you're my hero. 499 00:24:25,560 --> 00:24:27,080 Speaker 9: Right, that's what I say. Have you ever lost the 500 00:24:27,160 --> 00:24:27,840 Speaker 9: luggage jen. 501 00:24:27,880 --> 00:24:30,240 Speaker 1: A long time ago? Yeah, but I did get it back. 502 00:24:30,440 --> 00:24:33,080 Speaker 8: You did get Okay, that's the problem. So back in 503 00:24:33,160 --> 00:24:35,359 Speaker 8: twenty twenty two, there was a rise in this right, 504 00:24:35,400 --> 00:24:37,640 Speaker 8: A lot of people started losing their luggage, so airlines 505 00:24:37,640 --> 00:24:39,360 Speaker 8: started working to fix the problem. 506 00:24:39,720 --> 00:24:41,840 Speaker 9: Most of them did better. In twenty twenty three. 507 00:24:41,880 --> 00:24:45,160 Speaker 8: This is according to the Transportation Department. Nine major US 508 00:24:45,160 --> 00:24:49,439 Speaker 8: carriers actually did better, except four United. They mishandled bags 509 00:24:49,440 --> 00:24:52,919 Speaker 8: more than eleven percent worse than in twenty twenty two. 510 00:24:53,000 --> 00:24:54,160 Speaker 9: But they still perform. 511 00:24:53,880 --> 00:24:57,400 Speaker 8: Better than American airlines, which is usually performing better. So 512 00:24:57,560 --> 00:25:00,080 Speaker 8: they did worse too. A lot of people going using 513 00:25:00,400 --> 00:25:02,639 Speaker 8: Apple air tags to find the rest. That's when you 514 00:25:02,760 --> 00:25:04,679 Speaker 8: use you you do use that, Okay, so they use 515 00:25:04,760 --> 00:25:08,439 Speaker 8: Apple air tags. Allegiant actually performed the best when it 516 00:25:08,480 --> 00:25:11,840 Speaker 8: comes to not losing your luggage, but they this is 517 00:25:11,880 --> 00:25:14,600 Speaker 8: all happening as you hear about, you know, the airlines 518 00:25:14,720 --> 00:25:15,240 Speaker 8: raising the. 519 00:25:15,160 --> 00:25:16,480 Speaker 9: Fees for the checked bag. 520 00:25:16,640 --> 00:25:18,800 Speaker 8: So it's kind of like you're losing them, but I'm 521 00:25:18,840 --> 00:25:20,399 Speaker 8: paying more exactly to jacket. 522 00:25:20,640 --> 00:25:21,520 Speaker 3: It's frustrated. I don't know. 523 00:25:21,600 --> 00:25:23,280 Speaker 2: On the apps now, at least on the United app, 524 00:25:23,320 --> 00:25:25,240 Speaker 2: you can track your bag and see exactly kind. 525 00:25:25,160 --> 00:25:27,639 Speaker 3: Of where it is. Okay, yes, I really, yeah, So 526 00:25:27,640 --> 00:25:29,200 Speaker 3: that's kind of new thing on the United app. 527 00:25:29,960 --> 00:25:31,680 Speaker 1: So you don't need the air tag. I would still 528 00:25:31,720 --> 00:25:32,280 Speaker 1: get the air tag. 529 00:25:32,520 --> 00:25:33,359 Speaker 3: I would trust the air tag. 530 00:25:33,720 --> 00:25:34,239 Speaker 6: Yeah I do. 531 00:25:34,640 --> 00:25:37,360 Speaker 9: But does the air tag take you actually to where. 532 00:25:37,080 --> 00:25:37,960 Speaker 1: The like it does? 533 00:25:38,840 --> 00:25:39,400 Speaker 6: It does? 534 00:25:39,480 --> 00:25:43,119 Speaker 2: And I had sitting on a tarmac and like, you know, Newark. Okay, 535 00:25:43,160 --> 00:25:43,680 Speaker 2: that's not good. 536 00:25:43,840 --> 00:25:45,679 Speaker 1: No, but that's that's how I managed to get my 537 00:25:45,720 --> 00:25:47,520 Speaker 1: bag back when I had a delay because it was 538 00:25:47,560 --> 00:25:49,320 Speaker 1: sitting at on the tarmac and they're like, they're all here. 539 00:25:49,359 --> 00:25:51,520 Speaker 1: I'm like, look at my phone. I can see my 540 00:25:51,520 --> 00:25:52,520 Speaker 1: bag is on the tarmac. 541 00:25:52,720 --> 00:25:53,760 Speaker 9: See. So that does work. 542 00:25:53,800 --> 00:25:58,719 Speaker 8: Okay, see, you solve it all. Right, here's something interesting. 543 00:25:58,760 --> 00:26:01,000 Speaker 8: So you have you know, everybody the miles, right you 544 00:26:01,080 --> 00:26:03,800 Speaker 8: join the programs. If you don't have enough miles for 545 00:26:03,840 --> 00:26:07,080 Speaker 8: a free flight, you can now borrow them from your kids. 546 00:26:07,520 --> 00:26:09,800 Speaker 8: This is through a new program the United Airlines. It's 547 00:26:09,840 --> 00:26:13,960 Speaker 8: letting people pull share their frequent Flyer points with family 548 00:26:14,160 --> 00:26:14,880 Speaker 8: and friends. 549 00:26:15,119 --> 00:26:16,679 Speaker 9: So here's how it works. Let me break it down. 550 00:26:16,720 --> 00:26:18,720 Speaker 8: So the group leader has to be over eighteen, but 551 00:26:18,800 --> 00:26:21,520 Speaker 8: there is no minimum age for others. So that's how 552 00:26:21,560 --> 00:26:24,159 Speaker 8: you can sign up your kids. So everyone in the 553 00:26:24,160 --> 00:26:27,000 Speaker 8: pool has to have their own United Frequent Flyer account. 554 00:26:27,680 --> 00:26:31,359 Speaker 8: People like you have Jet Blue, Spirit Frontier. Like the 555 00:26:31,400 --> 00:26:33,840 Speaker 8: smaller airlines they do this, they do the pooling, but 556 00:26:34,119 --> 00:26:37,000 Speaker 8: United this is a first airline to the first major 557 00:26:37,040 --> 00:26:38,240 Speaker 8: airline to actually do this. 558 00:26:38,680 --> 00:26:40,880 Speaker 2: So well, we kind of like, you know, the Netflix 559 00:26:40,960 --> 00:26:43,479 Speaker 2: password things, So the kids get get booted off of 560 00:26:43,480 --> 00:26:46,040 Speaker 2: my Netflix accounts because they've been mooching off me for years. 561 00:26:46,400 --> 00:26:48,520 Speaker 2: Same thing for the United miles. I mean, I've been 562 00:26:48,600 --> 00:26:51,560 Speaker 2: very benevolent with my miles with the kids, but I 563 00:26:51,560 --> 00:26:53,600 Speaker 2: mean I can't imagine the day when I'm going to 564 00:26:53,640 --> 00:26:54,639 Speaker 2: get any of their miles. 565 00:26:54,880 --> 00:26:56,480 Speaker 9: I was about to say, I don't think they travel 566 00:26:56,480 --> 00:26:56,760 Speaker 9: more than. 567 00:26:56,720 --> 00:27:01,320 Speaker 1: You wait trip, Yeah, some Christmas present if you're a 568 00:27:01,359 --> 00:27:03,680 Speaker 1: little short of cash, have my miles. 569 00:27:03,359 --> 00:27:04,840 Speaker 9: Right, Oh see, there you go. 570 00:27:05,240 --> 00:27:07,399 Speaker 8: Yeah, but it's true because a lot of people have 571 00:27:07,440 --> 00:27:10,240 Speaker 8: been complaining about the miles, so this might be a little. 572 00:27:10,040 --> 00:27:10,520 Speaker 3: Bit of perk. 573 00:27:10,960 --> 00:27:16,080 Speaker 8: Finally, package holidays, you know those all in packages includes flights, hotels, transfers, food, everything. 574 00:27:16,560 --> 00:27:19,399 Speaker 8: They're becoming the hot new thing again. Okay, apparently it 575 00:27:19,400 --> 00:27:21,399 Speaker 8: took a hit because with the Internet people put their 576 00:27:21,400 --> 00:27:24,800 Speaker 8: own packages together. It was mainly a baby boomer thing, 577 00:27:25,520 --> 00:27:28,680 Speaker 8: but the younger travelers they're starting to get more sophisticated. 578 00:27:28,680 --> 00:27:31,800 Speaker 8: They wanted these offers and they want hassle for you vacations. 579 00:27:31,800 --> 00:27:33,480 Speaker 8: They just want people to do the work for them. 580 00:27:33,640 --> 00:27:37,080 Speaker 2: Here we go in September, going back to the motherland 581 00:27:37,119 --> 00:27:39,680 Speaker 2: in Ireland. They can't wait to see me, by the way, 582 00:27:39,920 --> 00:27:41,880 Speaker 2: so we're gonna go over there. And we were looking 583 00:27:41,920 --> 00:27:44,040 Speaker 2: at it like all the books, all the websites do 584 00:27:44,119 --> 00:27:45,199 Speaker 2: and all that kind of stuff, and I'm like, we 585 00:27:45,240 --> 00:27:46,040 Speaker 2: can't do this, we. 586 00:27:46,200 --> 00:27:46,840 Speaker 3: Don't want to do this. 587 00:27:47,000 --> 00:27:49,439 Speaker 2: We walked across the street and said, hey, here's how 588 00:27:49,520 --> 00:27:51,360 Speaker 2: much money I have. Here's kind of where I want 589 00:27:51,359 --> 00:27:54,000 Speaker 2: to go. And literally half hour later they came. 590 00:27:53,920 --> 00:27:56,520 Speaker 3: Back with a proposal. Bum I said, Okayank done. 591 00:27:56,640 --> 00:27:58,560 Speaker 1: That is fantastic. That is the way forward. That is 592 00:27:58,560 --> 00:27:59,040 Speaker 1: the future. 593 00:27:59,080 --> 00:27:59,280 Speaker 8: I e. 594 00:27:59,440 --> 00:28:02,240 Speaker 1: That's beyond old. 595 00:28:02,040 --> 00:28:03,479 Speaker 3: Old fashioned travel agents, you know. 596 00:28:03,560 --> 00:28:06,439 Speaker 9: So does include the food and all that kind of transfer? 597 00:28:06,520 --> 00:28:08,639 Speaker 2: Yeah, yeah, it's a tour, so the only thing so 598 00:28:08,680 --> 00:28:11,800 Speaker 2: they book you on some schlocky seats on United. 599 00:28:11,800 --> 00:28:13,359 Speaker 3: So I just use some of my mouths to upgrade 600 00:28:13,400 --> 00:28:14,919 Speaker 3: because you know, I'm not sitting in the back, you 601 00:28:14,920 --> 00:28:15,919 Speaker 3: know me please. 602 00:28:16,600 --> 00:28:19,000 Speaker 2: So but other than that, they took off everything and 603 00:28:19,040 --> 00:28:21,280 Speaker 2: I think for some of the I don't know some 604 00:28:21,320 --> 00:28:23,240 Speaker 2: of the more advanced trips. 605 00:28:23,560 --> 00:28:24,920 Speaker 3: It kind of makes sense still. I don't know. 606 00:28:24,960 --> 00:28:26,280 Speaker 2: I'm not even sure what I paid for it, but 607 00:28:26,480 --> 00:28:28,560 Speaker 2: in terms of a fee, but it was definitely worth 608 00:28:28,600 --> 00:28:29,159 Speaker 2: it whatever it was. 609 00:28:29,320 --> 00:28:30,960 Speaker 1: You'll be in Ireland, you'll go to a pub, but 610 00:28:30,960 --> 00:28:32,240 Speaker 1: it'll be exactly. 611 00:28:32,280 --> 00:28:32,920 Speaker 3: What would go wrong. 612 00:28:33,040 --> 00:28:34,160 Speaker 9: I think it just makes sense too. 613 00:28:34,200 --> 00:28:36,560 Speaker 8: I mean, just for families traveling, it's easier to have 614 00:28:36,640 --> 00:28:39,080 Speaker 8: that all inclusive, so you're not thinking about having to 615 00:28:39,080 --> 00:28:40,680 Speaker 8: dish out cash and how much who I got to 616 00:28:40,680 --> 00:28:41,320 Speaker 8: give this much to? 617 00:28:41,400 --> 00:28:42,400 Speaker 9: It's just all taken care of. 618 00:28:42,440 --> 00:28:42,720 Speaker 3: Yeah. 619 00:28:43,120 --> 00:28:44,880 Speaker 2: I should have done all inclusive when my kids were 620 00:28:44,880 --> 00:28:46,960 Speaker 2: a little because when you check out after a week, 621 00:28:47,000 --> 00:28:48,640 Speaker 2: you get a bill that's like fifty pages. 622 00:28:48,720 --> 00:28:50,080 Speaker 3: Oh yeah, long because it's. 623 00:28:50,000 --> 00:28:54,400 Speaker 2: Every smoothie, every beer, every soda, and it just kills you. 624 00:28:55,360 --> 00:28:57,800 Speaker 2: As now you go to all inclusive, you literally walk 625 00:28:57,800 --> 00:28:59,760 Speaker 2: out the last day, you don't do anything you've done. 626 00:29:00,240 --> 00:29:02,080 Speaker 9: You can even include gratuities in there if you want. 627 00:29:02,160 --> 00:29:02,360 Speaker 3: Yep. 628 00:29:02,720 --> 00:29:04,880 Speaker 2: Yeah, so anyway, a different way to go. So all right, 629 00:29:04,920 --> 00:29:08,760 Speaker 2: good stuff there. Lisa Mitteo here traveling and between now 630 00:29:08,800 --> 00:29:11,120 Speaker 2: in September. I don't travel anywhere because I'm at the 631 00:29:11,200 --> 00:29:12,800 Speaker 2: Jersey Shore, people can come to meet. 632 00:29:12,880 --> 00:29:14,760 Speaker 3: There's no place in a world I'd rather be. 633 00:29:15,200 --> 00:29:17,680 Speaker 2: This is the Bloomberg Surveillance Podcast, bringing you the best 634 00:29:17,720 --> 00:29:21,320 Speaker 2: in economics, geopolitics, finance, and investment. You can also watch 635 00:29:21,440 --> 00:29:24,920 Speaker 2: the show live on YouTube. Visit the Bloomberg Podcast channel 636 00:29:24,920 --> 00:29:27,840 Speaker 2: on YouTube to see the show weekday mornings from seven 637 00:29:27,880 --> 00:29:30,600 Speaker 2: to ten Eastern from our global headquarters in New York City. 638 00:29:30,880 --> 00:29:34,160 Speaker 2: Subscribe to the podcast on Apple, Spotify, or anywhere else 639 00:29:34,240 --> 00:29:37,480 Speaker 2: you listen, and as always on Bloomberg Radio, the Bloomberg Terminal, 640 00:29:37,560 --> 00:29:38,800 Speaker 2: and The Bloomberg Business Apple