1 00:00:00,040 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio News. 2 00:00:11,560 --> 00:00:14,840 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Krisner. Today 3 00:00:14,840 --> 00:00:18,400 Speaker 2: it's all about earnings. First, in Seoul, Samsung's chip unit 4 00:00:18,520 --> 00:00:21,919 Speaker 2: reported a profit increase of more than fivefold for the 5 00:00:22,079 --> 00:00:26,800 Speaker 2: December quarter, given that robust demand from memory for artificial intelligence, 6 00:00:27,160 --> 00:00:29,560 Speaker 2: and at the same time, Samsung announced a two and 7 00:00:29,560 --> 00:00:33,080 Speaker 2: a half billion dollar stock buyback. In the States, meantime, 8 00:00:33,120 --> 00:00:35,960 Speaker 2: there were a number of key earnings after the US close. 9 00:00:36,320 --> 00:00:39,279 Speaker 2: We heard from Microsoft to Meta as well as IBM, 10 00:00:39,520 --> 00:00:42,279 Speaker 2: along with Tesla. Joining us now for a closer look 11 00:00:42,440 --> 00:00:45,680 Speaker 2: is Daniel Newman. He is the CEO of Futurum Group. 12 00:00:46,040 --> 00:00:48,880 Speaker 2: Thank you so much for being here. Let's start with Microsoft. 13 00:00:49,320 --> 00:00:53,080 Speaker 2: The earnings and revenue for the latest quarter were above estimates. However, 14 00:00:53,600 --> 00:00:58,320 Speaker 2: Microsoft's cloud sales growth seemed to slow and CAPEX spending 15 00:00:58,400 --> 00:01:00,640 Speaker 2: hit a record, so the stock was down quite a 16 00:01:00,640 --> 00:01:03,520 Speaker 2: bit in late trading, around five percent. How do you 17 00:01:03,560 --> 00:01:06,039 Speaker 2: read this price action? What is it telling us? 18 00:01:06,800 --> 00:01:09,480 Speaker 3: Yeah, first of all, it was a pretty good quarter. 19 00:01:09,600 --> 00:01:11,760 Speaker 4: So when you see it fall six percent or so 20 00:01:11,840 --> 00:01:14,360 Speaker 4: after hours, you definitely have to, you know, raise an 21 00:01:14,360 --> 00:01:18,360 Speaker 4: eyebrown and say, what's happening, I actually think the thing 22 00:01:18,480 --> 00:01:21,959 Speaker 4: that spooking investors has more to do with the large 23 00:01:22,000 --> 00:01:24,840 Speaker 4: backlog that was shared by cfo Amy Hood. I think 24 00:01:24,840 --> 00:01:26,760 Speaker 4: it's about six hundred and twenty billion, which is a 25 00:01:26,800 --> 00:01:29,160 Speaker 4: massive number. But if you remember when Oracle did a 26 00:01:29,160 --> 00:01:32,679 Speaker 4: similar thing, shared its big backlog, there's a common denominator 27 00:01:32,680 --> 00:01:35,839 Speaker 4: here and that's open Ai. So while Microsoft is having 28 00:01:36,160 --> 00:01:40,320 Speaker 4: tremendous growth record results and by the way, I think 29 00:01:40,360 --> 00:01:42,959 Speaker 4: the cloud myths that everyone keeps talking about at thirty 30 00:01:43,040 --> 00:01:46,920 Speaker 4: nine percent azure growth against a forty percent a quarter ago, 31 00:01:47,280 --> 00:01:51,080 Speaker 4: so this is minuscule in terms of a miss still 32 00:01:51,160 --> 00:01:56,120 Speaker 4: really strong momentum, but that open ai commitment and the 33 00:01:56,200 --> 00:02:00,480 Speaker 4: relationship between Microsoft Open Ai, and basically right now everything 34 00:02:00,520 --> 00:02:03,520 Speaker 4: that open ai is touching feels a little bit toxic. 35 00:02:03,920 --> 00:02:06,240 Speaker 4: So all the companies that are in the kind of 36 00:02:06,280 --> 00:02:10,520 Speaker 4: ecosystem of Sam Altman's trillions of dollars of committed compute 37 00:02:10,520 --> 00:02:14,600 Speaker 4: spend seem to be penalized because there's a lack of 38 00:02:14,639 --> 00:02:17,440 Speaker 4: confidence in the market as to whether or not SAM 39 00:02:17,480 --> 00:02:19,280 Speaker 4: and open a are going to be able to execute. 40 00:02:19,360 --> 00:02:22,000 Speaker 4: So while some people are pointing to cloud, some people 41 00:02:22,080 --> 00:02:24,680 Speaker 4: are pointing to the CAPEC spending. 42 00:02:25,360 --> 00:02:26,440 Speaker 3: I see it a little differently. 43 00:02:26,520 --> 00:02:28,560 Speaker 4: I think people are a little nervous that there's too 44 00:02:28,680 --> 00:02:31,520 Speaker 4: much of its business committed to being able to support 45 00:02:31,520 --> 00:02:35,440 Speaker 4: open Ai. But I think Microsoft is well diversified, and 46 00:02:35,480 --> 00:02:36,800 Speaker 4: I think that might be an overreaction. 47 00:02:37,080 --> 00:02:39,760 Speaker 2: Before we talk about Meta, I want to explore this 48 00:02:40,000 --> 00:02:42,959 Speaker 2: open ai issue a little bit more visa v. Microsoft. 49 00:02:43,240 --> 00:02:45,960 Speaker 2: Are you saying that open ai potentially could be facing 50 00:02:46,040 --> 00:02:49,160 Speaker 2: a lot more in the way of competition, whether from 51 00:02:49,360 --> 00:02:53,519 Speaker 2: Alphabet or Google essentially, or perhaps Anthropic. 52 00:02:54,680 --> 00:02:55,760 Speaker 3: Yes, one percent. 53 00:02:56,480 --> 00:02:58,560 Speaker 4: I think what we're seeing, and by the way, Meta, 54 00:02:58,600 --> 00:03:02,560 Speaker 4: which we will talk about Meta Google and Thropic. But 55 00:03:02,720 --> 00:03:05,760 Speaker 4: Enthropic has been especially noisy lately, and then a really 56 00:03:05,800 --> 00:03:07,520 Speaker 4: good way we've seen what it's been able to do 57 00:03:07,600 --> 00:03:12,280 Speaker 4: with its code generation. It announced an outsized revenue performance 58 00:03:12,320 --> 00:03:15,920 Speaker 4: for the year. It has five times oversubscribed investment at 59 00:03:15,960 --> 00:03:18,600 Speaker 4: three hundred and fifty billion right now, and while that 60 00:03:18,720 --> 00:03:21,280 Speaker 4: still is smaller than open Ai, there's no question that 61 00:03:21,440 --> 00:03:24,560 Speaker 4: Entropic is executing very well, and it has to be 62 00:03:24,600 --> 00:03:28,079 Speaker 4: creating some jitters within investors that are looking at open 63 00:03:28,120 --> 00:03:30,720 Speaker 4: Ai as large commitments. And then, of course, all of 64 00:03:30,760 --> 00:03:33,560 Speaker 4: the companies attached to it its ecosystem. Google has no 65 00:03:33,680 --> 00:03:37,840 Speaker 4: doubt outperformed. Its market cap has soared. We were long 66 00:03:38,760 --> 00:03:41,440 Speaker 4: very optimistic about Google over the last year. We think 67 00:03:41,480 --> 00:03:44,480 Speaker 4: it's grown into a fair evaluation here, but it saw 68 00:03:44,480 --> 00:03:46,640 Speaker 4: its market cap almost double over the course of twenty 69 00:03:46,680 --> 00:03:49,080 Speaker 4: twenty five. And it's because it's been able to execute 70 00:03:49,160 --> 00:03:52,880 Speaker 4: not only models, but it has its own infrastructure. Microsoft 71 00:03:52,960 --> 00:03:55,000 Speaker 4: and Amazon other companies are just catching up on their 72 00:03:55,040 --> 00:03:58,800 Speaker 4: own homegrown chips. That's going to help with CAPEX. So yes, 73 00:03:58,920 --> 00:04:02,120 Speaker 4: all these things together are very important. But in the end, 74 00:04:02,160 --> 00:04:06,040 Speaker 4: what we're seeing Doug is compute is still the most 75 00:04:06,080 --> 00:04:09,520 Speaker 4: precious resource, and so you're seeing Metago big on investing 76 00:04:09,520 --> 00:04:13,560 Speaker 4: in compute. It's outsized CAPEX commitment. Microsoft is spending, but 77 00:04:13,640 --> 00:04:17,320 Speaker 4: they're spending to support that expected backlog, and so we 78 00:04:17,360 --> 00:04:20,520 Speaker 4: don't think the spending is as much a problem as 79 00:04:20,520 --> 00:04:22,920 Speaker 4: it is whether or not in who the customers are 80 00:04:23,080 --> 00:04:25,839 Speaker 4: that they're spending for. And I think that's what's creating 81 00:04:25,880 --> 00:04:28,839 Speaker 4: some consternation in the investor community. 82 00:04:29,120 --> 00:04:32,679 Speaker 2: So away from the hyperscalers, are you getting a sense 83 00:04:32,680 --> 00:04:35,039 Speaker 2: that we're going to begin for the people who are 84 00:04:35,120 --> 00:04:38,920 Speaker 2: actually investing in artificial intelligence, that we're going to begin 85 00:04:39,040 --> 00:04:41,520 Speaker 2: seeing an ROI, a return on investment. 86 00:04:43,040 --> 00:04:45,400 Speaker 4: We have said that this has to be and we 87 00:04:45,440 --> 00:04:48,159 Speaker 4: do believe it will be the year of ROI, of 88 00:04:48,240 --> 00:04:51,560 Speaker 4: a gentic AI and enterprise AI. And that's basically where 89 00:04:51,560 --> 00:04:55,520 Speaker 4: AI takes action to create greater productivity and efficiencies within business. 90 00:04:55,960 --> 00:04:59,359 Speaker 4: We think service now for instance, this quarter showed a 91 00:04:59,400 --> 00:05:04,800 Speaker 4: really strong perform so did IBM, both companies that provide 92 00:05:04,839 --> 00:05:09,360 Speaker 4: software to enterprises, AI platforms and AI capabilities to enterprises. 93 00:05:09,839 --> 00:05:12,880 Speaker 4: Enterprises are going to be consuming trillions of tokens. So 94 00:05:12,920 --> 00:05:14,919 Speaker 4: while many of us think of AI through the lens 95 00:05:14,920 --> 00:05:19,040 Speaker 4: of us using CHATGBT or using claud or using Gemini 96 00:05:19,120 --> 00:05:22,640 Speaker 4: in our everyday searches, the future is really when we 97 00:05:22,680 --> 00:05:25,080 Speaker 4: start to put AI to work to be able to 98 00:05:25,120 --> 00:05:28,919 Speaker 4: help automate workflows and processes within our everyday businesses. And 99 00:05:28,920 --> 00:05:32,039 Speaker 4: when that starts to scale inside healthcare and financial services 100 00:05:32,080 --> 00:05:35,040 Speaker 4: and inside manufacturing. That's where we think the inflection is 101 00:05:35,040 --> 00:05:37,120 Speaker 4: where business are going to say, okay, I spent X 102 00:05:37,200 --> 00:05:42,040 Speaker 4: dollars on AI software, agents, capabilities, and we are seeing 103 00:05:42,440 --> 00:05:46,520 Speaker 4: twenty thirty forty percent increases in productivity, which is yielding 104 00:05:46,640 --> 00:05:49,679 Speaker 4: greater profits, greater earnings, which. 105 00:05:49,480 --> 00:05:51,800 Speaker 3: Should be what it really appeases investors. 106 00:05:52,200 --> 00:05:55,320 Speaker 2: Tomorrow after the bell, we'll hear from Apple. This company 107 00:05:55,360 --> 00:05:58,479 Speaker 2: has been struggling a bit when it comes to artificial intelligence. 108 00:05:58,520 --> 00:06:02,440 Speaker 2: What will you be listening for or when Apple speaks 109 00:06:02,480 --> 00:06:04,159 Speaker 2: to analysts tomorrow after the bell. 110 00:06:05,360 --> 00:06:09,320 Speaker 4: Yeah, it's like Apple's wearing a fire retardant AI suit. 111 00:06:09,520 --> 00:06:11,679 Speaker 4: It just does not want to get in on AI. 112 00:06:12,040 --> 00:06:14,320 Speaker 4: I don't know why, you know, but it's funny because 113 00:06:14,320 --> 00:06:16,360 Speaker 4: they are sort of the opposite of all of these 114 00:06:16,400 --> 00:06:20,320 Speaker 4: other companies when it comes to their strategy. 115 00:06:20,320 --> 00:06:22,039 Speaker 3: They don't have the big cap ex commits. 116 00:06:22,080 --> 00:06:26,279 Speaker 4: They're really staying loyal to their existing hardware in the 117 00:06:26,320 --> 00:06:29,600 Speaker 4: moat that is their hardware ecosystem, and they're really trying 118 00:06:29,640 --> 00:06:33,120 Speaker 4: to maximize revenue by basically saying, yeah, we don't have 119 00:06:33,200 --> 00:06:35,480 Speaker 4: the models and we don't necessarily have the AI. 120 00:06:35,400 --> 00:06:38,159 Speaker 3: Software, but everybody's using it on our device. 121 00:06:38,600 --> 00:06:40,840 Speaker 4: So the big question for Apple is going to be 122 00:06:41,520 --> 00:06:44,680 Speaker 4: how long of a moat is the handset because that's 123 00:06:44,720 --> 00:06:47,520 Speaker 4: really where all of the momentum for Apple is. 124 00:06:47,560 --> 00:06:49,000 Speaker 3: And you're hearing things about wearables. 125 00:06:49,000 --> 00:06:52,200 Speaker 4: Maybe it's a metaglasses, maybe it's a pin or pendant 126 00:06:52,240 --> 00:06:54,760 Speaker 4: that's going to be worn from open ai. So the 127 00:06:55,160 --> 00:06:58,240 Speaker 4: platform is going to really matter over time. Apple, I think, 128 00:06:58,320 --> 00:07:00,960 Speaker 4: is one of those companies. Though they do the buybacks, 129 00:07:01,480 --> 00:07:04,920 Speaker 4: they continuously are sort of a safe haven because while 130 00:07:04,960 --> 00:07:07,080 Speaker 4: their numbers aren't as exciting as some of these other 131 00:07:07,080 --> 00:07:09,880 Speaker 4: companies for growth, they tend to perform and that's really 132 00:07:09,920 --> 00:07:11,120 Speaker 4: what Tim Cook's great at. 133 00:07:11,280 --> 00:07:12,880 Speaker 3: But I do think they need a leadership change. 134 00:07:12,880 --> 00:07:16,480 Speaker 4: They need to bring a young, aggressive, sort of transformational 135 00:07:16,560 --> 00:07:19,160 Speaker 4: leader to be the next Steve Jobs, the next person 136 00:07:19,160 --> 00:07:20,880 Speaker 4: that's you know, and there's no other Steve Jobs, but 137 00:07:20,920 --> 00:07:23,320 Speaker 4: the next of that ILK that's going to come in 138 00:07:23,360 --> 00:07:25,600 Speaker 4: and really change up Apple, because right now it is 139 00:07:25,640 --> 00:07:27,160 Speaker 4: definitely getting a little bit stale. 140 00:07:27,400 --> 00:07:30,760 Speaker 2: So the former Apple designer Johnny Ive is working with 141 00:07:30,920 --> 00:07:35,960 Speaker 2: open ai right now and developing a physical AI hardware device. 142 00:07:36,960 --> 00:07:39,840 Speaker 2: And before and I heard the criticism that you made 143 00:07:39,880 --> 00:07:44,760 Speaker 2: earlier of open ai, and that just how concentrated it 144 00:07:44,920 --> 00:07:47,000 Speaker 2: is right now in terms of its ability to kind 145 00:07:47,000 --> 00:07:49,440 Speaker 2: of connect with other companies in this AI space and 146 00:07:49,480 --> 00:07:53,239 Speaker 2: the risk that that may present. Is it too soon 147 00:07:53,680 --> 00:07:56,360 Speaker 2: to write off open Ai? I mean, we don't want 148 00:07:56,400 --> 00:07:59,720 Speaker 2: to throw out the baby with the bathwater necessarily, do we. 149 00:08:00,400 --> 00:08:02,520 Speaker 4: It's it would be a huge mistake. I mean, this 150 00:08:02,560 --> 00:08:05,080 Speaker 4: company has grown faster than any other company in history, 151 00:08:05,680 --> 00:08:08,680 Speaker 4: and it has some great capabilities. It is still the 152 00:08:08,760 --> 00:08:13,800 Speaker 4: synonymous brand with Generative AI or LLLMS. Right, you're using Chatchipt. 153 00:08:14,080 --> 00:08:16,480 Speaker 4: Even if you're using Gemini, people say I'm using Chatchipt. 154 00:08:16,960 --> 00:08:22,200 Speaker 4: So they've definitely created a brand an identity in the market. 155 00:08:22,240 --> 00:08:24,400 Speaker 3: But what has happened is a couple of things. 156 00:08:24,400 --> 00:08:26,800 Speaker 4: The first thing to happen is we have seen models, 157 00:08:26,920 --> 00:08:29,720 Speaker 4: and we talked about this earlier, you know, with model parody. 158 00:08:29,760 --> 00:08:32,760 Speaker 4: We're seeing Gemini leap frog and open ai model, and 159 00:08:32,800 --> 00:08:36,360 Speaker 4: then Anthropic and leapfrogs both, and then maybe a Chinese 160 00:08:36,440 --> 00:08:39,800 Speaker 4: open source model leapfrogs all of them in a certain capability, 161 00:08:39,800 --> 00:08:42,280 Speaker 4: and then open ai comes back. But what all these 162 00:08:42,360 --> 00:08:44,720 Speaker 4: companies understand is that the real mote is going to 163 00:08:44,720 --> 00:08:47,320 Speaker 4: be compute power, so all of them and this is 164 00:08:47,320 --> 00:08:50,000 Speaker 4: why Sam was spending so big. This is why Anthropics 165 00:08:50,080 --> 00:08:53,160 Speaker 4: now gone to Google and Amazon beyond Nvidia, this is 166 00:08:53,200 --> 00:08:55,480 Speaker 4: why Microsoft is spending so much on Capex, and of 167 00:08:55,480 --> 00:08:57,880 Speaker 4: course this is why Mark wants to build the Metacloud. 168 00:08:58,320 --> 00:09:00,440 Speaker 4: Sam was right when he was trying trying to go 169 00:09:00,480 --> 00:09:02,640 Speaker 4: out and build these contracts and get all these commitments 170 00:09:02,679 --> 00:09:06,000 Speaker 4: for compute power, because what that gives open ai will 171 00:09:06,000 --> 00:09:09,040 Speaker 4: be the flexibility to continue to innovate, to build, and 172 00:09:09,080 --> 00:09:10,280 Speaker 4: to pivot, knowing that. 173 00:09:10,200 --> 00:09:14,240 Speaker 3: What they're building today may only be the DVD. 174 00:09:14,000 --> 00:09:17,800 Speaker 4: Shipment version of Netflix, and that the future might be 175 00:09:17,840 --> 00:09:20,000 Speaker 4: something that looks more like the streaming version. You know, 176 00:09:20,080 --> 00:09:22,440 Speaker 4: we are going to see great innovation in AI, and 177 00:09:22,480 --> 00:09:24,160 Speaker 4: we don't even know what's going to come next. But 178 00:09:24,200 --> 00:09:26,640 Speaker 4: the one thing that all of these AI labs know, 179 00:09:27,000 --> 00:09:31,120 Speaker 4: that all of these hyper scalers know, that Mark Zuckerberg knows, 180 00:09:31,200 --> 00:09:34,880 Speaker 4: is that they don't have the compute power. They will 181 00:09:34,920 --> 00:09:37,840 Speaker 4: not be able to compete at some inflection in the future. 182 00:09:37,880 --> 00:09:40,120 Speaker 4: So Sam should not be SAM and openet should not 183 00:09:40,160 --> 00:09:42,960 Speaker 4: be written off. But there is very real reason to 184 00:09:43,000 --> 00:09:46,760 Speaker 4: be concerned if the current offerings that Sam has, if 185 00:09:46,760 --> 00:09:48,719 Speaker 4: he doesn't have a trick up his sleeve, because he's 186 00:09:48,760 --> 00:09:54,520 Speaker 4: certainly been caught with companies offering parody, offering competitive products, 187 00:09:54,559 --> 00:09:59,560 Speaker 4: and offering you know, alternatives that he has to deal with, 188 00:09:59,679 --> 00:10:01,440 Speaker 4: and so so that's going to be a big question. 189 00:10:01,520 --> 00:10:03,520 Speaker 4: But it's too soon to say open ai won't be 190 00:10:03,559 --> 00:10:03,960 Speaker 4: the winner. 191 00:10:04,200 --> 00:10:06,800 Speaker 2: So given everything we're talking about, does it really come 192 00:10:06,840 --> 00:10:08,600 Speaker 2: back to in Nvidia. At the end of the day, 193 00:10:08,640 --> 00:10:11,559 Speaker 2: you've got to belong that company because it's involved in 194 00:10:12,640 --> 00:10:15,400 Speaker 2: everything that's going right on right now in the space. 195 00:10:16,360 --> 00:10:20,880 Speaker 4: Look, if there wasn't great indicators from the TSMC results 196 00:10:20,960 --> 00:10:25,640 Speaker 4: from ASML which printed this morning that the insatiable demand 197 00:10:25,640 --> 00:10:29,439 Speaker 4: for compute is still very much intact. If these CAPEX 198 00:10:29,520 --> 00:10:32,200 Speaker 4: numbers aren't proving it, and if in Nvidia isn't the 199 00:10:32,200 --> 00:10:33,520 Speaker 4: biggest winner, I don't. 200 00:10:33,280 --> 00:10:33,760 Speaker 3: Know who is. 201 00:10:33,960 --> 00:10:37,240 Speaker 4: Nvidia is still making up the lion's share of the 202 00:10:37,320 --> 00:10:41,160 Speaker 4: compute It has among the most innovative products at any 203 00:10:41,160 --> 00:10:44,480 Speaker 4: given time. Of course, some may claim one spack or another, 204 00:10:44,520 --> 00:10:47,599 Speaker 4: but they have the deepest moat, the most loyalty in customers, 205 00:10:47,679 --> 00:10:51,800 Speaker 4: the largest backlog and revenue book that we've seen in 206 00:10:51,840 --> 00:10:55,440 Speaker 4: the marketplace, and right now it is the incumbent. And 207 00:10:55,760 --> 00:10:59,480 Speaker 4: also for the investors out there, it's trading at a 208 00:10:59,600 --> 00:11:03,559 Speaker 4: fairly low multiple. If you believe the forecast that it's 209 00:11:03,600 --> 00:11:06,120 Speaker 4: putting out and of course the order book that it 210 00:11:06,160 --> 00:11:08,600 Speaker 4: sees over the next year, you have to be very 211 00:11:08,600 --> 00:11:12,040 Speaker 4: optimistic that NVIDIAs come back to you. As an investor 212 00:11:12,400 --> 00:11:15,160 Speaker 4: and you have to be very positive that is still 213 00:11:16,080 --> 00:11:20,720 Speaker 4: the most likely to win the infrastructure battle over. 214 00:11:20,559 --> 00:11:21,160 Speaker 3: The long run. 215 00:11:21,280 --> 00:11:23,480 Speaker 2: Daniel will leave it there always a pleasure. Thanks so much. 216 00:11:23,600 --> 00:11:27,200 Speaker 2: Daniel Newman is the CEO of Futurum Group. Joining us 217 00:11:27,200 --> 00:11:38,000 Speaker 2: here on the Daybreak Asia podcast. Welcome back to the 218 00:11:38,080 --> 00:11:41,760 Speaker 2: Daybreak Asia Podcast. I'm Doug Krisner. The FED left interest 219 00:11:41,840 --> 00:11:45,400 Speaker 2: rates unchanged on Wednesday, in a move that was widely expected. 220 00:11:45,480 --> 00:11:49,440 Speaker 2: Policymakers pointed to improvements in the American economy as well 221 00:11:49,440 --> 00:11:52,199 Speaker 2: as the job market. Here is Chair J. Powell. 222 00:11:52,240 --> 00:11:55,320 Speaker 5: The US economy expanded at a solid pace last year 223 00:11:55,800 --> 00:11:58,840 Speaker 5: and just coming into twenty twenty six on a firm footing. 224 00:12:00,240 --> 00:12:03,319 Speaker 5: While job gains have remained low, the unemployment rate has 225 00:12:03,360 --> 00:12:08,800 Speaker 5: shown some signs of stabilization, and inflation remains somewhat elevated now. 226 00:12:08,840 --> 00:12:11,800 Speaker 2: As a result, the Fed did signal a more cautious 227 00:12:11,800 --> 00:12:16,199 Speaker 2: approach when it came to future potential cuts in interest rates. 228 00:12:16,520 --> 00:12:19,920 Speaker 2: And that's where we begin our conversation with Jeanette Garatty. 229 00:12:20,280 --> 00:12:23,880 Speaker 2: Jeanette is chief economist at Robertson Stevens. She spoke with 230 00:12:23,880 --> 00:12:27,119 Speaker 2: Bloomberg TV host Sherry on and April Hong. 231 00:12:27,120 --> 00:12:31,400 Speaker 6: And does today's FED decision move the needle at all 232 00:12:31,440 --> 00:12:34,000 Speaker 6: when it comes to great expectations for the rest of the. 233 00:12:34,000 --> 00:12:40,120 Speaker 7: Year, great expectations for the US economy. Perhaps not really, 234 00:12:40,480 --> 00:12:45,600 Speaker 7: I don't think this changes much of anything. First of all, 235 00:12:45,760 --> 00:12:50,560 Speaker 7: it was expected. Second of all, there was actually remarkably 236 00:12:50,640 --> 00:12:54,080 Speaker 7: little discussion in the press conference. I was very surprised 237 00:12:54,120 --> 00:12:59,560 Speaker 7: about the trajectory on interest rates beyond some discussion about 238 00:12:59,559 --> 00:13:04,760 Speaker 7: the next So I think he you know, maybe everybody 239 00:13:04,840 --> 00:13:07,440 Speaker 7: thought they knew what Jerome Powell was going to say 240 00:13:07,480 --> 00:13:09,400 Speaker 7: if they tried to pin him down to the second 241 00:13:09,400 --> 00:13:12,800 Speaker 7: half the year, But there really wasn't a whole lot 242 00:13:13,120 --> 00:13:17,720 Speaker 7: of substance there. And he did a rather interesting thing, 243 00:13:19,040 --> 00:13:22,760 Speaker 7: in my view, which is to shine a light on 244 00:13:23,480 --> 00:13:27,120 Speaker 7: some of the fiscal policy issues, some of the things 245 00:13:27,160 --> 00:13:31,120 Speaker 7: that are bothering people in the US economy right now, 246 00:13:31,160 --> 00:13:34,440 Speaker 7: if you will, do not have monetary policy solutions, only 247 00:13:34,480 --> 00:13:40,040 Speaker 7: have fiscal policy solutions. So that's where I think he's 248 00:13:40,040 --> 00:13:43,720 Speaker 7: saying that the needle is going to move, and he's 249 00:13:43,760 --> 00:13:47,040 Speaker 7: comfortable with monetary policy where it is right now. That 250 00:13:47,080 --> 00:13:49,200 Speaker 7: could change, as it always. 251 00:13:51,120 --> 00:13:53,240 Speaker 6: To your point, a little bit of that ca shaped 252 00:13:53,240 --> 00:13:56,560 Speaker 6: economy that we're seeing, right, the wealthy getting wealthier. But 253 00:13:56,840 --> 00:13:58,880 Speaker 6: also I think a lot of that conversation was crowded 254 00:13:58,920 --> 00:14:00,920 Speaker 6: out by the fact that we were really getting a 255 00:14:00,920 --> 00:14:03,120 Speaker 6: lot of questions around the politics of everything. 256 00:14:03,200 --> 00:14:03,440 Speaker 3: Right. 257 00:14:04,640 --> 00:14:06,880 Speaker 6: I have to ask you, what do you make a 258 00:14:06,960 --> 00:14:08,880 Speaker 6: Governor Waller's dubbish descent. 259 00:14:09,280 --> 00:14:10,079 Speaker 3: Does that sort of. 260 00:14:10,000 --> 00:14:13,280 Speaker 6: Give us a FED put in the months ahead if 261 00:14:13,320 --> 00:14:14,959 Speaker 6: he were to become the next FED chair? 262 00:14:17,040 --> 00:14:21,040 Speaker 7: Possibly The only thing I made of it right now 263 00:14:21,640 --> 00:14:27,640 Speaker 7: actually one that's a bit of a offhand remark, which 264 00:14:27,720 --> 00:14:31,480 Speaker 7: is that he's the only FED governor that the current 265 00:14:31,600 --> 00:14:38,440 Speaker 7: sitting FED voting member who is being contemplated to be 266 00:14:38,520 --> 00:14:42,400 Speaker 7: a future head of the FED. So, you know, he 267 00:14:42,960 --> 00:14:46,640 Speaker 7: voted this way because as perhaps he wanted to single 268 00:14:46,880 --> 00:14:50,680 Speaker 7: signaled to various people that he in fact would be 269 00:14:50,800 --> 00:14:56,920 Speaker 7: rather dummish. The leeway, the theoretical leeway for why he 270 00:14:57,000 --> 00:15:01,840 Speaker 7: did that was in d compous remarks. He did say 271 00:15:02,920 --> 00:15:05,880 Speaker 7: that while he feels and why the majority of the board, 272 00:15:05,960 --> 00:15:08,880 Speaker 7: while the majority of the Board felt that they were 273 00:15:08,960 --> 00:15:14,440 Speaker 7: very comfortably in the neutral range for monetary policy, in 274 00:15:14,480 --> 00:15:17,160 Speaker 7: the neutral rate of interest, that it was at the 275 00:15:17,240 --> 00:15:21,240 Speaker 7: high end, So there could be you know, it's not 276 00:15:22,240 --> 00:15:25,320 Speaker 7: out of bounds that Chris Waller could say, well, I 277 00:15:25,360 --> 00:15:27,720 Speaker 7: think we could have cut a quarter point and we 278 00:15:27,760 --> 00:15:34,200 Speaker 7: would still be firmly in the area of neutral policy stances. 279 00:15:34,240 --> 00:15:36,280 Speaker 7: So that would be the cover for what he decided 280 00:15:36,320 --> 00:15:36,560 Speaker 7: to do. 281 00:15:39,680 --> 00:15:41,720 Speaker 8: And that's just seems to be just focused on the 282 00:15:41,800 --> 00:15:44,240 Speaker 8: puff in the second half for the FED. I mean, 283 00:15:44,280 --> 00:15:46,200 Speaker 8: you look at the way goal has popped, right, the 284 00:15:46,400 --> 00:15:50,320 Speaker 8: expectation of a doubbish shift. What is your sense of 285 00:15:50,760 --> 00:15:53,280 Speaker 8: you know, in the first half, is it fair assumption 286 00:15:53,440 --> 00:15:54,560 Speaker 8: that we're not going to see a cut? 287 00:15:57,160 --> 00:16:00,400 Speaker 7: Well, now you're pinning me down to time and date 288 00:16:00,600 --> 00:16:04,240 Speaker 7: and magnetude, all of that step that economists love to avoid. 289 00:16:05,360 --> 00:16:09,880 Speaker 7: I do think that there will be two cuts this year. 290 00:16:10,120 --> 00:16:14,320 Speaker 7: The timing of it I would see as mostly being 291 00:16:14,480 --> 00:16:16,640 Speaker 7: in the second half, but could come in a little 292 00:16:16,640 --> 00:16:21,080 Speaker 7: bit earlier. But my expectation is premised on an assumption 293 00:16:21,800 --> 00:16:25,440 Speaker 7: then we will actually see some improvements in the inflation 294 00:16:25,640 --> 00:16:29,240 Speaker 7: numbers because of the way that the numbers are calculated 295 00:16:29,280 --> 00:16:32,960 Speaker 7: and because of other general trends in the economy. And 296 00:16:32,960 --> 00:16:37,920 Speaker 7: I'm making a grand assumption that there won't be any 297 00:16:38,480 --> 00:16:45,400 Speaker 7: unexpected terrriff announcements. But if that doesn't happen, then then 298 00:16:45,520 --> 00:16:48,320 Speaker 7: I don't know about those two cuts, and we could 299 00:16:48,440 --> 00:16:53,320 Speaker 7: we could have a very confrontational environment if inflation starts 300 00:16:53,360 --> 00:16:57,280 Speaker 7: to go the other way. I don't see that right now. 301 00:16:57,520 --> 00:17:00,320 Speaker 7: I think two cuts are in the mix. See it 302 00:17:00,400 --> 00:17:02,960 Speaker 7: starting at midyear. 303 00:17:03,600 --> 00:17:08,320 Speaker 8: Okay, so a couple of caveats to those Outlook, what 304 00:17:08,480 --> 00:17:12,239 Speaker 8: is your sense of the dollar whiplacks that we've been 305 00:17:12,240 --> 00:17:16,199 Speaker 8: seeing this week and the overall negative trajectory for the 306 00:17:16,280 --> 00:17:19,400 Speaker 8: green bag. How might that affect the US economy? 307 00:17:21,680 --> 00:17:25,640 Speaker 7: It will have macroeconomic effects. It will have effects on 308 00:17:26,320 --> 00:17:30,439 Speaker 7: prices in the United States. So the weaker dollar makes 309 00:17:30,680 --> 00:17:34,440 Speaker 7: those goods coming in from overseas that much more expensive. 310 00:17:34,520 --> 00:17:38,040 Speaker 7: We always we always see that in play. I think 311 00:17:38,960 --> 00:17:45,880 Speaker 7: Scott Bessant and Jerome Pwell are being economically intellectually honest 312 00:17:45,960 --> 00:17:51,680 Speaker 7: here in recognizing that, first of all, you can't do 313 00:17:52,040 --> 00:17:54,760 Speaker 7: very often what you want to do for the domestic 314 00:17:54,840 --> 00:17:59,800 Speaker 7: economy if you are trying to do something for the 315 00:18:00,600 --> 00:18:04,480 Speaker 7: something in the global markets, for example, at the same time, 316 00:18:04,520 --> 00:18:07,800 Speaker 7: you usually have to pick one perspective to determine policy. 317 00:18:08,359 --> 00:18:10,760 Speaker 7: It's domestic and that's what they're going to stick with. 318 00:18:12,520 --> 00:18:17,040 Speaker 7: There's there's obviously a lot going on. I'm not sure 319 00:18:17,160 --> 00:18:21,199 Speaker 7: how much of what is going on honestly reflects the 320 00:18:21,200 --> 00:18:26,400 Speaker 7: fundamentals as I see it. This is still a very point, 321 00:18:27,119 --> 00:18:30,320 Speaker 7: you know, and so it should the dollar should not 322 00:18:30,400 --> 00:18:31,400 Speaker 7: weaken this much. 323 00:18:33,880 --> 00:18:36,000 Speaker 6: Yeah, I mean to your point on the inflationary effects 324 00:18:36,040 --> 00:18:37,959 Speaker 6: of the US dollar. We saw a long term treasure 325 00:18:38,040 --> 00:18:40,840 Speaker 6: yields actually move as the dollar was falling, and actually 326 00:18:40,840 --> 00:18:43,840 Speaker 6: moving the opposite direction as the dollar rebounded. 327 00:18:43,920 --> 00:18:44,160 Speaker 4: Right. 328 00:18:45,359 --> 00:18:47,280 Speaker 6: I want to take you to the earlier point that 329 00:18:47,320 --> 00:18:50,800 Speaker 6: you were making about this bifurcation in the US economy 330 00:18:50,840 --> 00:18:52,879 Speaker 6: as well, because we have seen the Fed now perhaps 331 00:18:52,920 --> 00:18:56,399 Speaker 6: shift towards UH their focus on the stabilization of the 332 00:18:56,480 --> 00:19:01,120 Speaker 6: job market, but that key shaped economy that we continue 333 00:19:01,119 --> 00:19:03,159 Speaker 6: to see in the US. How problematic could this be? 334 00:19:04,880 --> 00:19:10,440 Speaker 7: Well, it's very problematic from a political standpoint. It's problematic 335 00:19:10,520 --> 00:19:17,479 Speaker 7: for monetaries, for the Federal Reserve because it partially goes 336 00:19:17,520 --> 00:19:20,000 Speaker 7: to the heart of what they feel they are there 337 00:19:20,040 --> 00:19:24,560 Speaker 7: to do, which is to protect the general fabric of 338 00:19:24,640 --> 00:19:28,000 Speaker 7: the US economy, which is usually expressed in terms of 339 00:19:28,560 --> 00:19:31,960 Speaker 7: inflation and employment, but it covers a number of other things. 340 00:19:32,000 --> 00:19:36,399 Speaker 7: So I don't think they like necessarily what they're seeing there, 341 00:19:35,920 --> 00:19:40,359 Speaker 7: but their tools are not tools that are designed to 342 00:19:40,520 --> 00:19:44,280 Speaker 7: do something about many of these things, and so that's 343 00:19:44,280 --> 00:19:48,920 Speaker 7: why I think there was Jerome Powell correctly mentioned, well, 344 00:19:48,960 --> 00:19:53,440 Speaker 7: it's understandable why from a spending standpoint, we are seeing 345 00:19:53,520 --> 00:19:57,720 Speaker 7: stronger spending in one sector of the economy, because that's 346 00:19:57,720 --> 00:20:00,920 Speaker 7: a sector that attempts to hold more ox and bonds, 347 00:20:01,080 --> 00:20:04,200 Speaker 7: more real estate. Those are areas where prices have gone up, 348 00:20:04,240 --> 00:20:08,920 Speaker 7: and so they're spending it. But the fundamental problem of 349 00:20:09,200 --> 00:20:16,600 Speaker 7: affordability and employment availability in certain sectors, that's a hard 350 00:20:16,680 --> 00:20:18,560 Speaker 7: one for the FED to address. 351 00:20:20,119 --> 00:20:23,919 Speaker 2: That was Jeanette Gerritty, chief economist at Robertson Stephens, speaking 352 00:20:23,920 --> 00:20:27,600 Speaker 2: to Bloomberg TV host Sherry On in April home bringing 353 00:20:27,600 --> 00:20:32,480 Speaker 2: it to you here on the Daybreak Asia podcast. Thanks 354 00:20:32,520 --> 00:20:36,160 Speaker 2: for listening to today's episode of the Bloomberg Daybreak Asia 355 00:20:36,320 --> 00:20:40,760 Speaker 2: Edition podcast. Each weekday, we look at the story shaping markets, finance, 356 00:20:41,119 --> 00:20:44,199 Speaker 2: and geopolitics in the Asia Pacific. You can find us 357 00:20:44,200 --> 00:20:48,400 Speaker 2: on Apple, Spotify, the Bloomberg Podcast YouTube channel, or anywhere 358 00:20:48,440 --> 00:20:51,520 Speaker 2: else you listen. Join us again tomorrow for insight on 359 00:20:51,600 --> 00:20:55,720 Speaker 2: the market moves from Hong Kong to Singapore and Australia. 360 00:20:56,160 --> 00:20:58,639 Speaker 2: I'm Doug prisoner and this is Bloomberg