1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:10,560 --> 00:00:13,960 Speaker 2: Welcome to the Bloomberg Daybreak Asia Podcast. I'm Doug Krisner. 3 00:00:14,280 --> 00:00:17,960 Speaker 2: Lunar New Year celebrations continue across the Asia Pacific. We've 4 00:00:17,960 --> 00:00:21,799 Speaker 2: got market holidays today in China, Hong Kong, and South 5 00:00:21,840 --> 00:00:24,200 Speaker 2: Korea to name a few. And coming up, we'll take 6 00:00:24,200 --> 00:00:27,040 Speaker 2: a look at the Chinese consumer with Shazad Kazi. He's 7 00:00:27,120 --> 00:00:31,400 Speaker 2: managing director at China Beisebook International. But we begin here 8 00:00:31,400 --> 00:00:34,720 Speaker 2: in the States and let's start with today's FED decision, 9 00:00:35,120 --> 00:00:37,920 Speaker 2: and to help shed some light, let's bring in George Sippoloni. 10 00:00:37,960 --> 00:00:42,080 Speaker 2: He is portfolio manager at Penn Mutual Asset Management. George 11 00:00:42,200 --> 00:00:45,720 Speaker 2: joining from just outside Philadelphia. Thank you, sir for making 12 00:00:45,760 --> 00:00:48,360 Speaker 2: time to chat with us. I think Powell was pretty 13 00:00:48,360 --> 00:00:50,519 Speaker 2: clear the Fed does not need to be in a 14 00:00:50,560 --> 00:00:53,239 Speaker 2: hurry to lower interest rates. Can you understand why or 15 00:00:53,280 --> 00:00:54,760 Speaker 2: do you disagree with his position? 16 00:00:55,480 --> 00:00:56,640 Speaker 3: Hey, del great to be with you. 17 00:00:56,920 --> 00:01:01,000 Speaker 4: I completely understand his position and standing. And I think 18 00:01:01,000 --> 00:01:04,160 Speaker 4: there's one so if you read through the text, there's 19 00:01:04,160 --> 00:01:08,200 Speaker 4: one omission that's clearly important. And so the last statement 20 00:01:08,360 --> 00:01:12,480 Speaker 4: was inflation has made progress towards the committee's two percent objective, 21 00:01:12,920 --> 00:01:16,199 Speaker 4: but remained somewhat elevated. That was from the last meeting. 22 00:01:16,520 --> 00:01:18,759 Speaker 4: In this meeting, they took out a lot of those 23 00:01:18,800 --> 00:01:22,680 Speaker 4: words and now they just say inflation remains somewhat elevated. 24 00:01:23,000 --> 00:01:25,880 Speaker 4: And I think that's absolutely the most accurate way he 25 00:01:25,880 --> 00:01:28,120 Speaker 4: could describe it. And I think that's the reason why 26 00:01:28,120 --> 00:01:31,080 Speaker 4: they stood pat and sounded a little bit more hawkish 27 00:01:31,200 --> 00:01:34,680 Speaker 4: then maybe the market expected, because obviously we saw the 28 00:01:34,720 --> 00:01:37,520 Speaker 4: stock market pulled back right away, the bond market pulled back. 29 00:01:38,040 --> 00:01:40,559 Speaker 4: They've rebounded, for sure, but I do think his stance 30 00:01:40,600 --> 00:01:42,080 Speaker 4: is the proper one at the moment. 31 00:01:41,880 --> 00:01:44,000 Speaker 2: And I'm just wondering as I'm listening to that whether 32 00:01:44,040 --> 00:01:48,480 Speaker 2: a portion of that unease or ill at ease has 33 00:01:48,520 --> 00:01:51,480 Speaker 2: to do with the fact that really we don't know 34 00:01:51,520 --> 00:01:54,640 Speaker 2: whether or not there are going to be inflationary impacts 35 00:01:54,680 --> 00:01:56,440 Speaker 2: as the result of some of the policies that we're 36 00:01:56,480 --> 00:01:57,920 Speaker 2: getting from this new administration. 37 00:01:58,720 --> 00:02:01,360 Speaker 4: You're one hundred percent right, And it's funny. We had 38 00:02:01,400 --> 00:02:04,240 Speaker 4: some Bloomberg people in showing us some really cool functions 39 00:02:04,280 --> 00:02:07,000 Speaker 4: on the system, and there's always something new. One of 40 00:02:07,000 --> 00:02:09,800 Speaker 4: the big ones that we noticed from an economic standpoint 41 00:02:09,840 --> 00:02:13,320 Speaker 4: is the word count obviously for what managers, what company 42 00:02:13,360 --> 00:02:16,320 Speaker 4: managers are concerned about, And the tariff chart is just 43 00:02:16,720 --> 00:02:20,760 Speaker 4: completely stunning and eye opening, and that's what everybody doesn't 44 00:02:20,800 --> 00:02:23,040 Speaker 4: know how to deal with yet, and we don't because 45 00:02:23,040 --> 00:02:25,720 Speaker 4: we don't know what the policy will be. And if 46 00:02:25,720 --> 00:02:28,400 Speaker 4: you look at inflation, the chart on inflation, we got 47 00:02:28,440 --> 00:02:31,920 Speaker 4: really surprised there in December. If you think about just 48 00:02:31,960 --> 00:02:34,799 Speaker 4: a month or so ago, how the market was ripping. 49 00:02:34,840 --> 00:02:37,640 Speaker 4: The stock market was ripping, and the bond market was 50 00:02:37,720 --> 00:02:41,000 Speaker 4: pretty tame, and from a yield standpoint, everything changed at 51 00:02:41,000 --> 00:02:43,880 Speaker 4: that point at the last December meeting, and it needed 52 00:02:43,919 --> 00:02:48,440 Speaker 4: to because inflation expectations resumed post election. And so now 53 00:02:48,480 --> 00:02:50,920 Speaker 4: we have a lot of uncertainty about, Okay, well we 54 00:02:50,960 --> 00:02:53,880 Speaker 4: get back to two percent inflation. I know the FED 55 00:02:53,919 --> 00:02:55,880 Speaker 4: wants us to get there, but we're not there yet. 56 00:02:55,960 --> 00:02:57,760 Speaker 4: So we're going to keep an eye on oil, We're 57 00:02:57,800 --> 00:02:59,800 Speaker 4: going to keep an eye on commodities, We're going to 58 00:02:59,840 --> 00:03:02,760 Speaker 4: keep and I on policy. And I think again, as 59 00:03:03,120 --> 00:03:05,720 Speaker 4: we are right now, the FED is in an uncertain 60 00:03:05,720 --> 00:03:07,800 Speaker 4: point and I think they made the right decision today. 61 00:03:07,840 --> 00:03:10,280 Speaker 2: So far, we had quite a few earnings, key earnings 62 00:03:10,280 --> 00:03:13,520 Speaker 2: after the bell, Microsoft Meta Tesla. Let's begin with Tesla. 63 00:03:13,639 --> 00:03:17,040 Speaker 2: Quarterly profit was disappointing, but on the call with analysts, 64 00:03:17,240 --> 00:03:19,280 Speaker 2: the companies seem to say, hey, we can return to 65 00:03:19,320 --> 00:03:22,920 Speaker 2: growth this year, and the stock popped a bit in 66 00:03:23,200 --> 00:03:25,720 Speaker 2: late trading, I think, up by around four percent at 67 00:03:25,720 --> 00:03:29,000 Speaker 2: the end of late US trading. What's your view on 68 00:03:29,040 --> 00:03:30,320 Speaker 2: the Tesla story right now? 69 00:03:30,800 --> 00:03:33,800 Speaker 4: Yeah, Tesla's an interesting one, so tip full disclosure. I'm 70 00:03:33,840 --> 00:03:36,640 Speaker 4: a value manager and Tesla's not in our wheelhouse by 71 00:03:36,680 --> 00:03:38,760 Speaker 4: any stretch. I think, you know, if you look at 72 00:03:38,800 --> 00:03:41,440 Speaker 4: Tesla as an auto company, I think all the auto 73 00:03:41,440 --> 00:03:44,840 Speaker 4: companies are facing a ton of competition from China, and 74 00:03:44,880 --> 00:03:47,320 Speaker 4: we're seeing that across the board. You name the company, 75 00:03:47,320 --> 00:03:50,960 Speaker 4: whether it's a European company, even some domestic companies. Now 76 00:03:51,000 --> 00:03:53,120 Speaker 4: four and GM are a little different because they're so 77 00:03:53,520 --> 00:03:56,160 Speaker 4: they have such a strong foothold in the US. But 78 00:03:56,200 --> 00:03:59,320 Speaker 4: if you look at European automakers that's sell into China, 79 00:03:59,400 --> 00:04:02,040 Speaker 4: they are not doing well. And if you look at 80 00:04:02,040 --> 00:04:05,400 Speaker 4: how strong Chinese ev companies have been doing, and that's 81 00:04:05,440 --> 00:04:06,840 Speaker 4: a lot of competition for Tesla. 82 00:04:06,920 --> 00:04:08,760 Speaker 3: So I understand why their earnings. 83 00:04:08,400 --> 00:04:10,960 Speaker 4: Are the way they are, but a lot of people 84 00:04:11,040 --> 00:04:14,000 Speaker 4: don't look at Tesla just as an automotive company. They 85 00:04:14,000 --> 00:04:16,640 Speaker 4: look at it as a tech company, as a robotics company, 86 00:04:17,680 --> 00:04:21,400 Speaker 4: as you know, an FSD company for you know, or 87 00:04:21,480 --> 00:04:25,839 Speaker 4: fully autonomous driving, and so they have that buzz about them, 88 00:04:26,200 --> 00:04:28,720 Speaker 4: and so it seems like no matter what the numbers 89 00:04:29,120 --> 00:04:31,279 Speaker 4: look like, or no matter how bad they look like, 90 00:04:31,440 --> 00:04:34,000 Speaker 4: some commentary can always help give the stock a pop. 91 00:04:34,120 --> 00:04:36,960 Speaker 4: So again, as a value manager, it's not my favorite 92 00:04:37,000 --> 00:04:39,360 Speaker 4: one to analyze because the fundamentals are so tough to 93 00:04:39,920 --> 00:04:40,320 Speaker 4: work with. 94 00:04:40,640 --> 00:04:43,760 Speaker 2: So let's go to Microsoft next, trading it around thirty 95 00:04:43,760 --> 00:04:47,320 Speaker 2: five times earnings, hardly meeting the definition of value. But 96 00:04:47,440 --> 00:04:51,159 Speaker 2: this company is so closely tied to this AI revolution. 97 00:04:51,320 --> 00:04:53,600 Speaker 2: Aren't you tempted to maybe put a little money to 98 00:04:53,640 --> 00:04:54,520 Speaker 2: work at Microsoft? 99 00:04:55,080 --> 00:04:57,520 Speaker 4: So I think so again, as a value manager, I 100 00:04:57,520 --> 00:04:59,440 Speaker 4: think one of the interesting things is we'll try to 101 00:04:59,480 --> 00:05:02,880 Speaker 4: start with companies that maybe have more upside potential than 102 00:05:03,440 --> 00:05:05,280 Speaker 4: some of the bigger names. So the bigger names are 103 00:05:05,320 --> 00:05:07,120 Speaker 4: doing great, and if you look at the numbers, they're 104 00:05:07,200 --> 00:05:10,720 Speaker 4: really good. After hours, the market really isn't that satisfied 105 00:05:10,760 --> 00:05:14,440 Speaker 4: with Microsoft, and the primary reason was the growth in 106 00:05:14,480 --> 00:05:17,960 Speaker 4: their Asia business or their cloud business, and so if 107 00:05:18,000 --> 00:05:21,440 Speaker 4: you look at what the commentary was, it was really 108 00:05:21,480 --> 00:05:22,039 Speaker 4: really telling. 109 00:05:22,080 --> 00:05:23,719 Speaker 3: And this is going to go back to your point. 110 00:05:24,040 --> 00:05:25,040 Speaker 3: Microsoft said its. 111 00:05:24,960 --> 00:05:27,760 Speaker 4: Cloud computing business will continue to grow slowly in the 112 00:05:27,760 --> 00:05:30,800 Speaker 4: current quarter as the company struggles to build enough data 113 00:05:30,839 --> 00:05:35,000 Speaker 4: centers to handle demand for its artificial intelligence products. And 114 00:05:35,080 --> 00:05:37,880 Speaker 4: then I'm sure we're going to talk about Meta as well. 115 00:05:37,960 --> 00:05:41,480 Speaker 4: Metas comments from a CAPEC standpoint were pretty eye opening 116 00:05:41,520 --> 00:05:44,160 Speaker 4: as well, especially in terms of what we just saw 117 00:05:44,279 --> 00:05:47,320 Speaker 4: Monday with deep Seek and the fears that these companies 118 00:05:47,320 --> 00:05:50,919 Speaker 4: were spending too much. That is the exact opposite of 119 00:05:50,960 --> 00:05:53,760 Speaker 4: what the company's just said after hours. So going back 120 00:05:53,800 --> 00:05:55,719 Speaker 4: to your point, Doug, I do think there are companies 121 00:05:55,760 --> 00:05:58,880 Speaker 4: in the data center business that look really, really cheap 122 00:05:59,360 --> 00:06:01,720 Speaker 4: relative to maybe some of these bigger names. I think 123 00:06:01,760 --> 00:06:05,440 Speaker 4: they're underappreciated. And I can't name each one just because 124 00:06:05,480 --> 00:06:08,359 Speaker 4: I can't, but that's our policy not to do that 125 00:06:08,400 --> 00:06:11,240 Speaker 4: in the media. But there are companies underlying that can 126 00:06:11,279 --> 00:06:14,520 Speaker 4: supply those data centers that can help fuel that growth 127 00:06:14,520 --> 00:06:15,640 Speaker 4: that we think are pretty cheap. 128 00:06:16,040 --> 00:06:19,240 Speaker 2: It's interesting that you mentioned Microsoft and Meta. When it 129 00:06:19,240 --> 00:06:22,640 Speaker 2: comes to AI. We know that Microsoft and open AI 130 00:06:22,760 --> 00:06:27,440 Speaker 2: have that partnership with chat GPT, Meta's AI model Islama, 131 00:06:28,120 --> 00:06:31,520 Speaker 2: and this week shocker was the story on deep Seek 132 00:06:31,560 --> 00:06:35,599 Speaker 2: and how it's aimodel can rival chat GPT. I think 133 00:06:35,600 --> 00:06:37,960 Speaker 2: it's important to point out that we are learning that 134 00:06:38,040 --> 00:06:41,719 Speaker 2: Microsoft is now looking at whether a group linked to 135 00:06:41,880 --> 00:06:44,239 Speaker 2: deep seek may have taken a large amount of data 136 00:06:44,279 --> 00:06:47,920 Speaker 2: from open AI in an unauthorized fashion. More to come 137 00:06:47,960 --> 00:06:51,440 Speaker 2: on that, But the deep seek model, known as R one, 138 00:06:51,600 --> 00:06:55,279 Speaker 2: is open source, and metas Lama AI model is also 139 00:06:55,400 --> 00:06:57,800 Speaker 2: open source. So I'm wondering whether the real story of 140 00:06:57,839 --> 00:07:01,520 Speaker 2: the week is the impact open sources having on these 141 00:07:01,800 --> 00:07:04,800 Speaker 2: AI models. Let's set that aside for a moment. I'm 142 00:07:04,839 --> 00:07:07,880 Speaker 2: wondering about whether some of the second order impacts of 143 00:07:07,920 --> 00:07:12,440 Speaker 2: the AI story are still intact, like electric power, for example, 144 00:07:12,520 --> 00:07:13,120 Speaker 2: are they. 145 00:07:13,520 --> 00:07:14,960 Speaker 3: You're one hundred percent right, Doug. 146 00:07:14,960 --> 00:07:16,640 Speaker 4: I mean, if you think about the ripple effects of 147 00:07:17,440 --> 00:07:20,400 Speaker 4: AI and this capex spending, I think as long as 148 00:07:20,440 --> 00:07:21,960 Speaker 4: you could tie it back and say and if that 149 00:07:21,960 --> 00:07:24,720 Speaker 4: capex is sustainable, it's going to create a lot of 150 00:07:24,760 --> 00:07:28,400 Speaker 4: demand for land and buildings that are close to or 151 00:07:28,520 --> 00:07:30,920 Speaker 4: data centers, and land that's going to be close to 152 00:07:31,120 --> 00:07:33,840 Speaker 4: power sources. It's going to help increase if you look 153 00:07:33,880 --> 00:07:36,200 Speaker 4: at a chart of potential natural gas demand that should 154 00:07:36,240 --> 00:07:39,800 Speaker 4: go up. And then again, it's funny because the ripple 155 00:07:39,800 --> 00:07:42,400 Speaker 4: effects work both ways, and a lot of those companies 156 00:07:42,440 --> 00:07:45,880 Speaker 4: that benefited over the last year from this AI buzz 157 00:07:46,400 --> 00:07:49,880 Speaker 4: all got hit on Monday pretty pretty severely. So again, 158 00:07:49,920 --> 00:07:54,000 Speaker 4: I think Zuckerberg's comment was pretty telling as well, saying 159 00:07:54,040 --> 00:07:56,240 Speaker 4: his consumer AI offering is going to be one of 160 00:07:56,280 --> 00:07:59,360 Speaker 4: the most transformative products that we've ever made. And that's 161 00:07:59,400 --> 00:08:02,400 Speaker 4: a pretty big statement coming from Zuckerberg in terms of, 162 00:08:02,560 --> 00:08:05,760 Speaker 4: you know, a huge product, like comparing it to something 163 00:08:05,800 --> 00:08:09,320 Speaker 4: that might be even bigger than Facebook. So yes, to 164 00:08:09,400 --> 00:08:11,200 Speaker 4: your point, there are going to be a lot of 165 00:08:11,280 --> 00:08:14,520 Speaker 4: names that should do really, really well that Capex. 166 00:08:14,160 --> 00:08:15,560 Speaker 3: Is going to have to hold up there. That's going 167 00:08:15,600 --> 00:08:16,240 Speaker 3: to be the key. 168 00:08:16,480 --> 00:08:19,840 Speaker 2: So Apple will be reporting tomorrow after the closing bell, 169 00:08:20,320 --> 00:08:21,280 Speaker 2: are you optimistic? 170 00:08:22,160 --> 00:08:24,920 Speaker 4: So Apple is challenging. So if you look at all 171 00:08:25,040 --> 00:08:28,840 Speaker 4: these names, So for example, if you look at Metas quarter, 172 00:08:28,880 --> 00:08:33,040 Speaker 4: they aren't eight dollars this quarter. If you compare that 173 00:08:33,200 --> 00:08:35,560 Speaker 4: to twenty twenty two, they aren't eight fifty nine in 174 00:08:35,600 --> 00:08:38,400 Speaker 4: the full year of twenty twenty two. So this was 175 00:08:38,440 --> 00:08:43,160 Speaker 4: an outstanding quarter. Apple just about all of their return 176 00:08:43,280 --> 00:08:47,480 Speaker 4: last year came from PE expansion and not from Earning's growth. 177 00:08:47,880 --> 00:08:50,520 Speaker 4: So I think there's a very big question. So each 178 00:08:50,559 --> 00:08:52,720 Speaker 4: of the each of these companies, obviously they're in the 179 00:08:52,760 --> 00:08:55,520 Speaker 4: mag seven. Some people may look at them, you know, 180 00:08:55,559 --> 00:08:58,680 Speaker 4: in a very homogeneous fashion, but they are all different companies. 181 00:08:58,960 --> 00:09:01,160 Speaker 4: And I think Apple needs to prove that they can 182 00:09:01,160 --> 00:09:04,240 Speaker 4: continue to grow, and I think they where these other 183 00:09:04,320 --> 00:09:06,880 Speaker 4: companies have. You know, if you look at Meta for example, 184 00:09:07,360 --> 00:09:09,559 Speaker 4: over the last year, their revenues went from one hundred 185 00:09:09,600 --> 00:09:11,760 Speaker 4: and thirty five billion up to one hundred and sixty 186 00:09:11,800 --> 00:09:15,600 Speaker 4: five billion, and Apple's kind of stayed steady. They've grown, 187 00:09:15,679 --> 00:09:18,560 Speaker 4: but not at this pace. And given the fact that 188 00:09:18,600 --> 00:09:22,000 Speaker 4: their PE is where it is today's thirty percent higher 189 00:09:22,000 --> 00:09:24,920 Speaker 4: than it was last year, for example, they have to 190 00:09:24,960 --> 00:09:26,679 Speaker 4: prove it now. They have to prove it once again 191 00:09:26,760 --> 00:09:28,680 Speaker 4: that they can grow at this size of a company. 192 00:09:28,720 --> 00:09:31,880 Speaker 4: Can they continue to grow it with headwinds like China 193 00:09:31,920 --> 00:09:34,720 Speaker 4: for example, staring at them in the face. 194 00:09:34,600 --> 00:09:36,600 Speaker 2: George will leave it. They're always a pleasure. Thanks for 195 00:09:36,600 --> 00:09:40,000 Speaker 2: making time to talk with us today. George Sippoloni. He 196 00:09:40,080 --> 00:09:44,280 Speaker 2: is portfolio manager at pen Mutual Asset management, joining from 197 00:09:44,360 --> 00:09:54,880 Speaker 2: just outside Philadelphia here on the Daybreak Asia podcast. Welcome 198 00:09:54,920 --> 00:09:58,120 Speaker 2: back to the Daybreak Asia Podcast. I'm Deuk Krisner. Many 199 00:09:58,200 --> 00:10:02,600 Speaker 2: countries across the APAK are enjoying Lunar New Year holidays, 200 00:10:02,640 --> 00:10:06,360 Speaker 2: so markets will now be keenly interested in the high 201 00:10:06,440 --> 00:10:10,160 Speaker 2: frequency data tracking consumer spending across the region for a 202 00:10:10,160 --> 00:10:13,199 Speaker 2: closer look. I'm joined now by Shazad Kazi. He's managing 203 00:10:13,200 --> 00:10:17,320 Speaker 2: director at the China Beijbook International. Shazade, thank you for 204 00:10:17,320 --> 00:10:19,480 Speaker 2: making time to chat with us. Let's begin by talking 205 00:10:19,520 --> 00:10:22,360 Speaker 2: about consumer behavior. What are your expectations? 206 00:10:22,559 --> 00:10:25,400 Speaker 1: Well, look, I think the consumer data actually look quite positive, 207 00:10:26,120 --> 00:10:27,880 Speaker 1: you know, and I think a lot of the credit 208 00:10:28,280 --> 00:10:30,360 Speaker 1: of the reasoning goes to the lunar New Year spending. 209 00:10:30,400 --> 00:10:33,720 Speaker 1: You got travel doing well, you got the hospitality sector 210 00:10:34,360 --> 00:10:37,840 Speaker 1: showing sales improvement. You even have restaurants showing sales improvement. 211 00:10:38,200 --> 00:10:41,520 Speaker 1: You even have retailers actually ramping up hiring. So I 212 00:10:41,520 --> 00:10:45,560 Speaker 1: think the expectation is that consumers are going to come 213 00:10:45,600 --> 00:10:48,280 Speaker 1: back and spend more money, you know, this year than 214 00:10:48,320 --> 00:10:50,720 Speaker 1: they have in the last probably couple of months, maybe 215 00:10:50,720 --> 00:10:51,559 Speaker 1: even compared. 216 00:10:51,240 --> 00:10:51,760 Speaker 5: To last year. 217 00:10:52,120 --> 00:10:55,160 Speaker 2: So how are you evaluating Let's talk about China here, 218 00:10:55,240 --> 00:10:57,680 Speaker 2: the overall Chinese economy at the moment, What does it 219 00:10:57,720 --> 00:11:00,840 Speaker 2: look like to you in terms of it's strength or 220 00:11:00,880 --> 00:11:02,000 Speaker 2: perhaps weakness. 221 00:11:02,280 --> 00:11:04,839 Speaker 1: Look, I think the beauty is a very nuanced right now. 222 00:11:04,920 --> 00:11:08,960 Speaker 1: You know, the economy is certainly not you know, shooting 223 00:11:09,040 --> 00:11:12,680 Speaker 1: upwards to the moon, so to speak, but it's absolutely 224 00:11:12,720 --> 00:11:15,520 Speaker 1: not falling apart. You know, you've got a story where 225 00:11:15,520 --> 00:11:18,680 Speaker 1: there's a lot of semblance of stability a word of 226 00:11:18,679 --> 00:11:21,560 Speaker 1: course of the Communist Party loves, compared to where things 227 00:11:21,559 --> 00:11:23,959 Speaker 1: were a year ago, and an improvement over what was 228 00:11:24,320 --> 00:11:28,720 Speaker 1: a week December and all around slower Q four. 229 00:11:29,240 --> 00:11:31,760 Speaker 2: So the latest PMI reading is, as I recall, on 230 00:11:31,800 --> 00:11:35,720 Speaker 2: the manufacturing side continued to show contraction. Isn't that concerning 231 00:11:35,720 --> 00:11:36,480 Speaker 2: to you? 232 00:11:36,480 --> 00:11:39,480 Speaker 1: You know, I don't buy that the economy actually was 233 00:11:39,600 --> 00:11:42,600 Speaker 1: in any kind of outright contraction heading into the beginning 234 00:11:42,640 --> 00:11:44,839 Speaker 1: of this year, to be honest, Doug, I wouldn't be 235 00:11:44,920 --> 00:11:47,960 Speaker 1: surprised if a lot of that is just lagged weakness 236 00:11:48,000 --> 00:11:51,240 Speaker 1: from late last year finally being reported in official data. 237 00:11:51,400 --> 00:11:53,520 Speaker 2: How are you understanding the risk of tariffs to the 238 00:11:53,559 --> 00:11:56,200 Speaker 2: overall manufacturing sector in China right now? 239 00:11:56,440 --> 00:11:56,640 Speaker 5: Yeah? 240 00:11:56,679 --> 00:11:59,120 Speaker 1: I think you know, overall If the economy is doing 241 00:11:59,160 --> 00:12:01,480 Speaker 1: all right, that brings down the pressure on she to 242 00:12:01,480 --> 00:12:04,720 Speaker 1: do large scale stimulus. The big risk factor then is 243 00:12:04,760 --> 00:12:07,760 Speaker 1: what happens with tariffs. If they do get hit with tariffs, 244 00:12:08,640 --> 00:12:10,680 Speaker 1: you know, then of course they are going to have 245 00:12:10,720 --> 00:12:13,400 Speaker 1: to step it up to provide additional support to the 246 00:12:13,400 --> 00:12:16,480 Speaker 1: manufacturing sector, which already, of course gets quite a lot 247 00:12:16,480 --> 00:12:18,920 Speaker 1: of help in terms of subsidies, zero interest rate loans 248 00:12:18,960 --> 00:12:22,520 Speaker 1: and so forth. But Beijing, i think will step up 249 00:12:22,880 --> 00:12:24,960 Speaker 1: the support for its factories. 250 00:12:25,200 --> 00:12:27,320 Speaker 2: Today in the US we had news that the Trump 251 00:12:27,400 --> 00:12:32,520 Speaker 2: administration is exploring additional curbs on the sale of certain 252 00:12:32,559 --> 00:12:35,400 Speaker 2: in Nvidia chips to China. This would be kind of 253 00:12:35,400 --> 00:12:37,960 Speaker 2: a continuation or maybe a deepening on some of the 254 00:12:38,000 --> 00:12:42,040 Speaker 2: export controls that were initiated under the Biden administration. It 255 00:12:42,120 --> 00:12:45,840 Speaker 2: seems like, certainly in the area of high technology, things 256 00:12:45,840 --> 00:12:47,760 Speaker 2: are maybe going to get a little bit more tense 257 00:12:47,800 --> 00:12:50,840 Speaker 2: between these two powerhouses, and not any less. 258 00:12:50,840 --> 00:12:54,960 Speaker 1: So that's absolutely correct. But here's the reality. You know, 259 00:12:55,000 --> 00:12:57,200 Speaker 1: we can talk a big game here in the US, 260 00:12:57,240 --> 00:13:01,520 Speaker 1: but the Chinese are still being able to actcess American chips, 261 00:13:01,640 --> 00:13:06,640 Speaker 1: including high end technology, So expert controls are incredibly complicated. 262 00:13:06,679 --> 00:13:09,640 Speaker 1: To say the least, and the administration, if it's serious 263 00:13:09,640 --> 00:13:11,760 Speaker 1: about export controls, is going to have to figure out 264 00:13:12,000 --> 00:13:15,319 Speaker 1: what the game plan is and learn from the lessons 265 00:13:15,320 --> 00:13:17,599 Speaker 1: of the last four years where clearly a lot of 266 00:13:17,640 --> 00:13:18,520 Speaker 1: stuff lead through. 267 00:13:19,080 --> 00:13:19,280 Speaker 5: Yeah. 268 00:13:19,320 --> 00:13:22,160 Speaker 2: We have also news today that Microsoft and open ai 269 00:13:22,880 --> 00:13:26,559 Speaker 2: are investigating the actions of a group that was linked 270 00:13:26,640 --> 00:13:30,120 Speaker 2: to the Chinese AI startup Deep Seek. Now this group 271 00:13:30,160 --> 00:13:33,240 Speaker 2: may have taken large amounts of data from the company 272 00:13:33,280 --> 00:13:37,559 Speaker 2: open Ai in an unauthorized fashion. That seems like it's 273 00:13:37,640 --> 00:13:40,360 Speaker 2: just going to fuel this tension even further. I mean, 274 00:13:40,520 --> 00:13:43,240 Speaker 2: what is the risk here between the US and China 275 00:13:43,440 --> 00:13:46,320 Speaker 2: when it comes to technology away from semiconductors. 276 00:13:46,880 --> 00:13:49,840 Speaker 1: Well so, technology theft, of course is an ever lasting 277 00:13:49,880 --> 00:13:51,560 Speaker 1: problem in the US China relationship. 278 00:13:51,559 --> 00:13:54,200 Speaker 5: This may be just a latest example of it. 279 00:13:54,720 --> 00:13:57,600 Speaker 1: I think the question is is the current administration going 280 00:13:57,640 --> 00:14:00,520 Speaker 1: to take any of this seriously and as and really 281 00:14:00,559 --> 00:14:02,960 Speaker 1: it just boils under the president? Is the focus there? 282 00:14:03,320 --> 00:14:05,520 Speaker 1: Is this going to mean much? Or is the focus 283 00:14:05,600 --> 00:14:07,280 Speaker 1: just going to continue to be on things like the 284 00:14:07,360 --> 00:14:10,240 Speaker 1: trade and balance because that will lead to two very 285 00:14:10,280 --> 00:14:13,839 Speaker 1: different types of policy prescriptions and actions. And of course 286 00:14:14,000 --> 00:14:17,280 Speaker 1: tariffs are not going to necessarily solve this problem, which, 287 00:14:17,280 --> 00:14:20,000 Speaker 1: as we said, requires vast amounts of efectsport controls, and 288 00:14:20,880 --> 00:14:24,040 Speaker 1: you know, things of that nature, more than just tariffs. 289 00:14:24,440 --> 00:14:28,240 Speaker 2: I think it's a well worn narrative, this deflationary pressure 290 00:14:28,280 --> 00:14:30,680 Speaker 2: that China has been enduring for a while. Now it 291 00:14:30,680 --> 00:14:33,280 Speaker 2: feels as though it's been a couple of years, and 292 00:14:33,360 --> 00:14:35,600 Speaker 2: it also feels is that it's becoming a little bit 293 00:14:35,680 --> 00:14:39,040 Speaker 2: more protracted. I'm curious, does that concern you at all? 294 00:14:39,560 --> 00:14:41,760 Speaker 1: You know, we're going to start getting more and more 295 00:14:41,800 --> 00:14:44,840 Speaker 1: concerned if we see these low levels of inflation persist. 296 00:14:44,880 --> 00:14:46,280 Speaker 1: You know, one thing I always like to point to 297 00:14:46,360 --> 00:14:49,000 Speaker 1: is that consumer inflation has not yet been hit by 298 00:14:49,680 --> 00:14:52,720 Speaker 1: outright deflation, unlike what has happened on the industrial side. 299 00:14:52,880 --> 00:14:56,680 Speaker 1: If that happens again, the pressure on the Communist Party, 300 00:14:56,720 --> 00:14:59,600 Speaker 1: and I think Secretary she goes off to figure out 301 00:14:59,640 --> 00:15:02,360 Speaker 1: what to and guess what they are not very good at, 302 00:15:02,400 --> 00:15:04,560 Speaker 1: and I'm not sure they even know how to do 303 00:15:04,640 --> 00:15:09,360 Speaker 1: consumer side stimulus, real consumer stimulus, which means that the 304 00:15:10,120 --> 00:15:13,000 Speaker 1: economy could get into some serious hot water. 305 00:15:13,560 --> 00:15:16,240 Speaker 2: Isn't that what's really necessary right now? To try to 306 00:15:16,280 --> 00:15:19,320 Speaker 2: find an effective way of stimulating domestic demand. 307 00:15:19,960 --> 00:15:22,640 Speaker 1: They have to do some amounts of stimulus. They are 308 00:15:22,680 --> 00:15:25,520 Speaker 1: not in so much trouble that they need to necessarily 309 00:15:25,560 --> 00:15:28,760 Speaker 1: do these sort of big Bazuka style spending. 310 00:15:28,800 --> 00:15:29,880 Speaker 5: But again, here's the thing. 311 00:15:30,360 --> 00:15:33,640 Speaker 1: She cares much less about the stock market and quite frankly, 312 00:15:33,760 --> 00:15:37,240 Speaker 1: much less about economic growth than he does about national security. 313 00:15:37,720 --> 00:15:39,880 Speaker 1: I think he's made it very clear that it's the 314 00:15:39,960 --> 00:15:44,440 Speaker 1: national security aspects that he's going to focus on, whether 315 00:15:44,480 --> 00:15:48,000 Speaker 1: it's independence in the tech sector, whether it's military dominance 316 00:15:48,040 --> 00:15:50,920 Speaker 1: within the region and so forth. He may be willing 317 00:15:50,960 --> 00:15:53,360 Speaker 1: to live with a low growth figure as long as 318 00:15:53,360 --> 00:15:55,320 Speaker 1: he can pursue those goals. 319 00:15:55,640 --> 00:15:59,120 Speaker 2: Do you see a policy prescription on the horizon, anything 320 00:15:59,160 --> 00:16:02,880 Speaker 2: that the government made on veil or initiate to try 321 00:16:02,920 --> 00:16:05,200 Speaker 2: to address some of the problems that we've been talking about. 322 00:16:05,920 --> 00:16:09,440 Speaker 1: I think they're taking a piecemeal approach, which again makes 323 00:16:09,480 --> 00:16:12,720 Speaker 1: sense because they're not trying to post these large GDP 324 00:16:12,840 --> 00:16:16,560 Speaker 1: growth figures anymore. They know it's easily sub five percent. 325 00:16:17,000 --> 00:16:19,920 Speaker 1: They'll they'll live with, you know, something closer to four 326 00:16:20,000 --> 00:16:21,840 Speaker 1: as well, even if they announce larger numbers. 327 00:16:22,640 --> 00:16:24,440 Speaker 5: So I don't see anything on the horizon for. 328 00:16:24,560 --> 00:16:27,680 Speaker 1: A big so called big bang stimulus that markets have 329 00:16:27,760 --> 00:16:30,400 Speaker 1: been scheering, you know, every few months now. 330 00:16:30,200 --> 00:16:33,040 Speaker 2: So I'm looking at the offshore currency right around seven 331 00:16:33,200 --> 00:16:36,680 Speaker 2: twenty six or so. Is this something that you expect 332 00:16:36,720 --> 00:16:39,800 Speaker 2: will weaken in terms of the yuan's relationship with a dollar. 333 00:16:39,880 --> 00:16:42,480 Speaker 2: I know that they use the basket in a lot 334 00:16:42,520 --> 00:16:45,200 Speaker 2: of the waiting when they set the daily reference rate, 335 00:16:45,240 --> 00:16:47,840 Speaker 2: but I'm just talking about the yuan's relationship with a 336 00:16:47,880 --> 00:16:50,680 Speaker 2: dollar right now. Are you expecting that to weaken further? 337 00:16:51,200 --> 00:16:52,280 Speaker 5: Look the week we could. 338 00:16:52,080 --> 00:16:53,920 Speaker 1: Get additional yuon week and if they're going to be 339 00:16:54,000 --> 00:16:56,800 Speaker 1: very careful about that, you know, they don't necessarily need 340 00:16:57,360 --> 00:16:57,720 Speaker 1: the yuan. 341 00:16:57,880 --> 00:16:59,960 Speaker 5: They do not want the yuant week and too much. 342 00:17:00,480 --> 00:17:02,760 Speaker 1: And they also want to be very careful about anything 343 00:17:02,760 --> 00:17:05,399 Speaker 1: that starts to look like it's a currency deval, So 344 00:17:06,119 --> 00:17:10,679 Speaker 1: they are not looking to antagonize necessarily the administration right now. 345 00:17:10,720 --> 00:17:13,240 Speaker 1: If theyuan weekends too much, on top of all the 346 00:17:13,280 --> 00:17:17,000 Speaker 1: other problems that the administration could point to, currency manipulation 347 00:17:17,119 --> 00:17:19,479 Speaker 1: could rise to the top very very quickly. 348 00:17:19,680 --> 00:17:21,560 Speaker 2: We'll leave it there, Shazad, thank you so much for 349 00:17:21,600 --> 00:17:24,240 Speaker 2: being with a. Shazad Kazi, managing director at the China 350 00:17:24,240 --> 00:17:28,400 Speaker 2: beij Book International, joining us here on the Daybreak Asia Podcast. 351 00:17:30,640 --> 00:17:34,040 Speaker 2: Thanks for listening to today's episode of the Bloomberg Daybreak 352 00:17:34,160 --> 00:17:37,560 Speaker 2: Asia Edition podcast. Each weekday, we look at the story 353 00:17:37,640 --> 00:17:41,960 Speaker 2: shaping markets, finance, and geopolitics in the Asia Pacific. You 354 00:17:42,000 --> 00:17:46,119 Speaker 2: can find us on Apple, Spotify, the Bloomberg Podcast YouTube channel, 355 00:17:46,240 --> 00:17:49,240 Speaker 2: or anywhere else you listen. Join us again tomorrow for 356 00:17:49,359 --> 00:17:52,879 Speaker 2: insight on the market moves from Hong Kong to Singapore 357 00:17:53,280 --> 00:18:02,680 Speaker 2: and Australia. I'm Doug Chrisner and this is Bloomberg. Hey,