1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:10,680 --> 00:00:14,120 Speaker 2: Welcome to the Bloomberg Daybreak Asia podcast. I'm Doug Chrisner. 3 00:00:14,560 --> 00:00:17,360 Speaker 2: The US equity market rose to record highs today. That 4 00:00:17,520 --> 00:00:20,239 Speaker 2: was after President Trump said he reached a trade deal 5 00:00:20,280 --> 00:00:24,080 Speaker 2: with Vietnam and in the process, Vietnam will avoid higher 6 00:00:24,079 --> 00:00:26,599 Speaker 2: tariffs that were set to take effect next week. In 7 00:00:26,640 --> 00:00:28,960 Speaker 2: a moment, we'll get more on this deal from Bloomberg's 8 00:00:29,040 --> 00:00:32,360 Speaker 2: Jill Disis in Hong Kong, but we begin here in 9 00:00:32,440 --> 00:00:35,160 Speaker 2: the States for a look at market action. I'm joined 10 00:00:35,200 --> 00:00:38,840 Speaker 2: by Brian Krowez. He is the president at Sharf Investments. 11 00:00:39,040 --> 00:00:42,880 Speaker 2: Brian is on the line from Los Gatos, California. Brian, 12 00:00:42,920 --> 00:00:45,600 Speaker 2: thank you for making time to chat with me. Certainly, 13 00:00:45,760 --> 00:00:48,479 Speaker 2: there is still a lot of uncertainty in the market. 14 00:00:48,520 --> 00:00:51,760 Speaker 2: Can you justify record high levels today for the S 15 00:00:51,800 --> 00:00:53,360 Speaker 2: and P and the Nasdaq comp? 16 00:00:54,280 --> 00:00:57,880 Speaker 3: Well, it's getting harder on a valuation basis. The S 17 00:00:57,920 --> 00:01:00,760 Speaker 3: and P is in the ninety fifth percent on evaluation, 18 00:01:00,880 --> 00:01:03,160 Speaker 3: and as you said, there's still a lot of uncertainty. 19 00:01:03,160 --> 00:01:05,399 Speaker 3: I mean, you just mentioned there's a tariff deal with Vietnam, 20 00:01:05,480 --> 00:01:07,560 Speaker 3: but if you look at the last twenty years, the 21 00:01:07,600 --> 00:01:09,880 Speaker 3: average tariff has been sort of one to two percent 22 00:01:09,920 --> 00:01:12,800 Speaker 3: on the US economy. Now many economists are thinking once 23 00:01:12,800 --> 00:01:14,600 Speaker 3: these deals are all done, they're going to be ten, 24 00:01:14,760 --> 00:01:18,160 Speaker 3: fifteen to twenty percent in aggregate. I mean, that's a 25 00:01:18,200 --> 00:01:21,399 Speaker 3: pretty big change from what we've been used to. So 26 00:01:21,880 --> 00:01:24,800 Speaker 3: it's sort of like investors were really really nervous about 27 00:01:25,920 --> 00:01:29,479 Speaker 3: tariffs and other policy uncertainty in April, and we've seem 28 00:01:29,520 --> 00:01:30,280 Speaker 3: to have forgotten that. 29 00:01:30,440 --> 00:01:33,119 Speaker 4: In fact, last quarter was the first quarter the. 30 00:01:33,160 --> 00:01:36,319 Speaker 3: S and P had gone down ten percent and finished 31 00:01:36,400 --> 00:01:39,520 Speaker 3: up by more than five in the history of the 32 00:01:39,600 --> 00:01:41,399 Speaker 3: S and P five hundred, So it's been a real 33 00:01:41,480 --> 00:01:44,240 Speaker 3: crazy run. I think given where evaluations are now, it's 34 00:01:44,240 --> 00:01:47,760 Speaker 3: getting a little harder to justify even with positive news 35 00:01:47,760 --> 00:01:48,320 Speaker 3: on tariffs. 36 00:01:48,440 --> 00:01:50,840 Speaker 2: So we're going to get the monthly jobs data tomorrow. 37 00:01:51,000 --> 00:01:56,840 Speaker 2: Today we had ADP reporting employment for American private firms 38 00:01:57,040 --> 00:01:59,320 Speaker 2: was down for the first time in more than two years. 39 00:02:00,080 --> 00:02:03,200 Speaker 2: We've heard from the FED that the labor market remains solid. 40 00:02:03,480 --> 00:02:07,400 Speaker 2: If we get evidence tomorrow of maybe a bit of 41 00:02:07,480 --> 00:02:10,760 Speaker 2: softening and payroll growth and maybe a spike in the 42 00:02:10,800 --> 00:02:13,760 Speaker 2: unemployment rate, is it too much to say that the 43 00:02:13,800 --> 00:02:15,000 Speaker 2: FED is behind the curve? 44 00:02:16,040 --> 00:02:20,320 Speaker 3: You know, it's very hard to say that the FED 45 00:02:20,360 --> 00:02:22,520 Speaker 3: is in a tough spot because, first of all, as 46 00:02:22,560 --> 00:02:24,960 Speaker 3: they've said, you've got tariffs coming. A lot of the 47 00:02:24,960 --> 00:02:27,440 Speaker 3: big companies have said, we did pre buying, we've done 48 00:02:27,480 --> 00:02:29,680 Speaker 3: other stuff, and so they're out ahead of these tariffs. 49 00:02:29,960 --> 00:02:32,160 Speaker 3: But you're starting to see some of it translate through, 50 00:02:32,480 --> 00:02:34,600 Speaker 3: and we haven't even really seen the tariffs go into 51 00:02:34,639 --> 00:02:37,080 Speaker 3: effect yet. So you've got tariffs as number one, But 52 00:02:37,160 --> 00:02:42,000 Speaker 3: i'd also point out, you know, there's other potential risks healthcare. 53 00:02:42,360 --> 00:02:46,240 Speaker 3: You saw senteen today down forty percent. They said healthcare 54 00:02:46,320 --> 00:02:50,320 Speaker 3: costs or higher than they thought. You've had this consistent 55 00:02:50,400 --> 00:02:53,919 Speaker 3: problem in the ACA, which is the is the pool 56 00:02:54,040 --> 00:02:59,720 Speaker 3: of ensured buyers that can't quite qualify for Medicaid. Likely 57 00:03:00,200 --> 00:03:01,840 Speaker 3: rates they are going to be going up quite a bit. 58 00:03:01,880 --> 00:03:03,880 Speaker 3: You could have people coming out of the pool. So 59 00:03:03,960 --> 00:03:06,359 Speaker 3: as we go into next year, we think healthcare costs 60 00:03:06,360 --> 00:03:09,920 Speaker 3: could be spiking up, and that would be another problem 61 00:03:09,960 --> 00:03:13,320 Speaker 3: in terms of inflation. So sure, if we get weakening labor, 62 00:03:14,120 --> 00:03:16,880 Speaker 3: you could maybe see inflation come down. Maybe let the FED, 63 00:03:17,200 --> 00:03:19,960 Speaker 3: you know, do something. But you know, we're certainly not 64 00:03:19,960 --> 00:03:21,919 Speaker 3: out of the woods yet. With terras and I think 65 00:03:21,960 --> 00:03:24,800 Speaker 3: healthcare is something that people need to also be looking 66 00:03:24,840 --> 00:03:25,840 Speaker 3: at in terms of inflation. 67 00:03:26,680 --> 00:03:29,040 Speaker 2: As we're talking about the labor market. I'm reminded of 68 00:03:29,120 --> 00:03:32,800 Speaker 2: the news today from Microsoft that it's got more job 69 00:03:32,880 --> 00:03:35,840 Speaker 2: cuts coming, about nine thousand workers. This is the second 70 00:03:36,080 --> 00:03:40,080 Speaker 2: major wave of layoffs this year for Microsoft. The company, 71 00:03:40,120 --> 00:03:42,480 Speaker 2: as we know, is looking to control cost. It's also 72 00:03:42,560 --> 00:03:46,839 Speaker 2: trying to ramp up artificial intelligence spending. Do we need 73 00:03:46,880 --> 00:03:51,200 Speaker 2: to consider the impact now of AI as companies begin 74 00:03:51,280 --> 00:03:54,000 Speaker 2: to adopt it more aggressively, the impact that AI is 75 00:03:54,040 --> 00:03:55,440 Speaker 2: going to have on the labor market. 76 00:03:56,240 --> 00:03:57,760 Speaker 4: Yeah, that's a very good point. 77 00:03:57,840 --> 00:04:00,160 Speaker 3: I mean, this is sort of a counter argument to 78 00:04:00,200 --> 00:04:03,840 Speaker 3: what I just said about healthcare, inflation and tariffs. 79 00:04:04,200 --> 00:04:06,080 Speaker 4: If AI leads to lots. 80 00:04:05,880 --> 00:04:09,840 Speaker 3: Of productivity, you could you could see that being a 81 00:04:09,880 --> 00:04:14,760 Speaker 3: deflationary force. It could have an impact on the labor 82 00:04:14,760 --> 00:04:17,880 Speaker 3: market for sure. I think Microsoft has already gone on 83 00:04:17,920 --> 00:04:21,040 Speaker 3: record of saying they're they're hiring less interns and they're 84 00:04:21,040 --> 00:04:24,880 Speaker 3: having a lot more computers doing their actual coding, and 85 00:04:24,920 --> 00:04:27,800 Speaker 3: so this is this is definitely already here. It's the 86 00:04:27,839 --> 00:04:29,680 Speaker 3: future is going to be a lot more, but it's 87 00:04:29,680 --> 00:04:33,200 Speaker 3: already here. It's already impacting the labor market. I've got 88 00:04:33,360 --> 00:04:36,479 Speaker 3: several friends who have kids that just graduated from school 89 00:04:36,480 --> 00:04:39,839 Speaker 3: with CS degrees, and they're actually struggling getting jobs, which is, 90 00:04:40,279 --> 00:04:41,800 Speaker 3: you know, you go back two years ago when they 91 00:04:41,800 --> 00:04:44,080 Speaker 3: were getting ten offers and now you've actually got computer 92 00:04:44,120 --> 00:04:48,400 Speaker 3: science majors much less, you know, history and English majors. 93 00:04:48,680 --> 00:04:53,520 Speaker 3: The job market for new college grads is really tough already, 94 00:04:53,520 --> 00:04:55,680 Speaker 3: and I think that's in part because of AI, and 95 00:04:56,520 --> 00:04:59,840 Speaker 3: so it's definitely impacting the labor market, you know. And 96 00:05:00,080 --> 00:05:02,479 Speaker 3: how much it does, I think is still an open question. 97 00:05:02,640 --> 00:05:05,200 Speaker 3: But it's definitely going to have some impacts. 98 00:05:05,320 --> 00:05:09,320 Speaker 2: And the spending on AI continues apace. Today we learned 99 00:05:09,320 --> 00:05:11,200 Speaker 2: that open AI is going to be running a massive 100 00:05:11,200 --> 00:05:14,839 Speaker 2: amount of computing power from Oracle data centers. How are 101 00:05:14,920 --> 00:05:19,320 Speaker 2: you feeling broadly about the AI trade? Still names like Oracle, 102 00:05:19,720 --> 00:05:21,160 Speaker 2: names like in Nvidia. 103 00:05:22,040 --> 00:05:22,800 Speaker 4: Yeah, well, we. 104 00:05:22,800 --> 00:05:25,159 Speaker 3: Actually own Oracle. We've own Oracle for a long time. 105 00:05:25,240 --> 00:05:28,440 Speaker 3: It's getting a little bit more expensive than it's been 106 00:05:28,480 --> 00:05:31,800 Speaker 3: for a while. But you know, as I'd like to 107 00:05:31,880 --> 00:05:35,920 Speaker 3: remind people, if they bought the top ten tech stocks 108 00:05:35,960 --> 00:05:38,200 Speaker 3: at the end of ninety nine, they actually would have 109 00:05:38,200 --> 00:05:42,080 Speaker 3: done pretty poorly over the next twenty years, despite the 110 00:05:42,120 --> 00:05:44,599 Speaker 3: fact that the Internet became more ubiquitous than any of 111 00:05:44,680 --> 00:05:45,520 Speaker 3: us imagined. 112 00:05:45,880 --> 00:05:47,359 Speaker 4: Cell phones became really big. 113 00:05:47,640 --> 00:05:50,320 Speaker 3: But back then you would have bought Nokia for cell phones, 114 00:05:50,360 --> 00:05:53,200 Speaker 3: not Apple. You would have bought Yahoo for the Internet, 115 00:05:53,279 --> 00:05:56,440 Speaker 3: not Google. You would have about Aol for email. You 116 00:05:56,440 --> 00:05:59,599 Speaker 3: would about Cisco Systems. You know, when I talked to 117 00:05:59,680 --> 00:06:02,200 Speaker 3: sort of a lot of people now, the thirty five 118 00:06:02,279 --> 00:06:05,000 Speaker 3: year olds, they don't even know Sun Microsystems. Had, you know, 119 00:06:05,120 --> 00:06:07,640 Speaker 3: was the dot in the dot com, you would have 120 00:06:07,680 --> 00:06:10,160 Speaker 3: bought that for sure. So it's really hard to pick 121 00:06:10,200 --> 00:06:13,919 Speaker 3: the winners. So AI will certainly be huge, but investors 122 00:06:14,000 --> 00:06:17,240 Speaker 3: might be getting a little over their skis, you know. Really, 123 00:06:17,240 --> 00:06:20,680 Speaker 3: it's particularly with these kind of down down the marketcap 124 00:06:20,760 --> 00:06:23,400 Speaker 3: ones that are that are going crazy and you're seeing 125 00:06:23,400 --> 00:06:26,200 Speaker 3: a lot of speculations. So I think there's some risk there. 126 00:06:26,720 --> 00:06:29,679 Speaker 3: Names like Oracle and Microsoft are going to be winners. 127 00:06:29,960 --> 00:06:31,720 Speaker 3: It's just a question of you know, what's the right 128 00:06:31,800 --> 00:06:36,080 Speaker 3: multiple and so even there I think maybe, uh, you know, 129 00:06:36,240 --> 00:06:38,440 Speaker 3: they're starting to get a little bit more pricey, But 130 00:06:38,480 --> 00:06:41,320 Speaker 3: certainly I would be very cautious of the kind of 131 00:06:41,440 --> 00:06:42,760 Speaker 3: more speculative. 132 00:06:42,279 --> 00:06:45,880 Speaker 2: Names Okay, so away from tech, let's talk about the financials. 133 00:06:46,279 --> 00:06:48,880 Speaker 2: A number of the big banks boasted their dividends after 134 00:06:49,000 --> 00:06:53,040 Speaker 2: passing the FED stress test. The latest stress test KBW 135 00:06:53,080 --> 00:06:55,360 Speaker 2: Bank index today was up one and a half percent. 136 00:06:55,440 --> 00:06:59,760 Speaker 2: We've got names like JP, Morgan, Bank of America, Goldman, Sachs, Wells, 137 00:06:59,800 --> 00:07:03,039 Speaker 2: far Go, the big guys. Is this a trade that 138 00:07:03,160 --> 00:07:05,840 Speaker 2: interest you right now? Taking a position in the big banks? 139 00:07:06,560 --> 00:07:10,440 Speaker 3: Well, we like quality companies for our style, so banks 140 00:07:10,440 --> 00:07:12,480 Speaker 3: are typically not as quality as we like to do. 141 00:07:12,520 --> 00:07:14,560 Speaker 4: But I will say for the banks, you know, that 142 00:07:14,680 --> 00:07:15,720 Speaker 4: was very good news. 143 00:07:16,560 --> 00:07:18,480 Speaker 3: And some of the reserve requirements are also going down, 144 00:07:18,560 --> 00:07:20,520 Speaker 3: so I think the quality of those banks is going 145 00:07:20,560 --> 00:07:23,320 Speaker 3: to go up. We talked about AI. AI actually can 146 00:07:23,400 --> 00:07:27,960 Speaker 3: be a big help in the financial sector going forward, 147 00:07:28,960 --> 00:07:31,240 Speaker 3: and so actually, you know, for the a I tried, 148 00:07:31,320 --> 00:07:33,360 Speaker 3: we think things like that that are really going to 149 00:07:33,400 --> 00:07:37,080 Speaker 3: able to get benefited from productivity enhancements are probably a 150 00:07:37,120 --> 00:07:40,480 Speaker 3: good good way to play it. Within financials, we like 151 00:07:40,640 --> 00:07:45,679 Speaker 3: things like insurance, We like insurance brokerage. You know, things 152 00:07:45,720 --> 00:07:49,440 Speaker 3: like Visa are going to continue to be winners. FI 153 00:07:49,560 --> 00:07:51,560 Speaker 3: Serve is one of our favorite names. So there's a 154 00:07:51,560 --> 00:07:54,520 Speaker 3: lot of things within financials we like, but banks are 155 00:07:54,520 --> 00:07:57,080 Speaker 3: one of those that are also benefiting. But financials broadly, 156 00:07:57,120 --> 00:07:59,800 Speaker 3: I think is a sector that is going to continue 157 00:07:59,800 --> 00:08:00,400 Speaker 3: to do well. 158 00:08:00,520 --> 00:08:03,440 Speaker 2: So you're very close to Silicon Valley. I'm curious, Brian 159 00:08:03,480 --> 00:08:07,080 Speaker 2: about the conversation that you're hearing there. What's it like, 160 00:08:07,160 --> 00:08:10,200 Speaker 2: what are people discussing, what's the focal point? 161 00:08:11,200 --> 00:08:12,760 Speaker 4: Yeah, well it's enough. 162 00:08:12,880 --> 00:08:16,960 Speaker 3: My brother's an executive at Microsoft. Definitely, there are conversations about, 163 00:08:17,080 --> 00:08:22,000 Speaker 3: you know, cutting, It's it's very interesting to see young 164 00:08:22,120 --> 00:08:26,520 Speaker 3: people coming out with engineering degrees suddenly finding themselves struggling 165 00:08:26,520 --> 00:08:27,160 Speaker 3: to get jobs. 166 00:08:27,200 --> 00:08:29,960 Speaker 4: And so that's that's the biggest thing. That's a very 167 00:08:29,960 --> 00:08:30,679 Speaker 4: big change. 168 00:08:31,040 --> 00:08:33,679 Speaker 3: I haven't heard that kind of thing since say two 169 00:08:33,760 --> 00:08:36,880 Speaker 3: thousand and two thousand and one, when you know, a 170 00:08:36,920 --> 00:08:39,960 Speaker 3: lot of layoffs are happening and we're still in a 171 00:08:40,000 --> 00:08:40,920 Speaker 3: pretty good period. 172 00:08:41,360 --> 00:08:43,640 Speaker 4: Tech stocks are going up, so it's not like back. 173 00:08:43,559 --> 00:08:45,839 Speaker 3: Then when you had a big Internet bubble and a 174 00:08:45,880 --> 00:08:48,840 Speaker 3: lot of companies that were just hanging on and a 175 00:08:48,840 --> 00:08:49,600 Speaker 3: lot of layoffs. 176 00:08:50,080 --> 00:08:53,360 Speaker 4: But today, even with all the success, you are hearing 177 00:08:53,440 --> 00:08:55,800 Speaker 4: a lot of younger people having trouble getting jobs. So 178 00:08:56,559 --> 00:09:00,960 Speaker 4: that's that's a very interesting development. That I would say 179 00:09:01,040 --> 00:09:02,559 Speaker 4: is really only like. 180 00:09:02,520 --> 00:09:05,320 Speaker 3: In the last six seven months, and that I think 181 00:09:05,360 --> 00:09:08,600 Speaker 3: that's in all likelihood AI and kind of where tech 182 00:09:08,600 --> 00:09:10,800 Speaker 3: companies are putting their money. You mentioned AI, they're putting 183 00:09:10,800 --> 00:09:14,000 Speaker 3: their money into capital investments and less in the labor 184 00:09:14,400 --> 00:09:16,920 Speaker 3: and so it definitely is affecting the labor market. I 185 00:09:16,960 --> 00:09:19,080 Speaker 3: still think though in silicon value there's a lot of 186 00:09:19,120 --> 00:09:23,320 Speaker 3: optimism for AI, and so it's not all doom and gloom, 187 00:09:23,360 --> 00:09:26,720 Speaker 3: but it is for people in certain parts of laborpool, 188 00:09:27,000 --> 00:09:27,960 Speaker 3: you know, a tougher market. 189 00:09:28,360 --> 00:09:31,600 Speaker 2: So tonight in the US, the House of Representatives is 190 00:09:31,800 --> 00:09:35,440 Speaker 2: kind of debating the next procedure here for a President 191 00:09:35,480 --> 00:09:39,000 Speaker 2: Trumps signature tax bill. It seems like there's a little 192 00:09:39,040 --> 00:09:42,000 Speaker 2: bit of resistance for the moment. Let's just set that 193 00:09:42,080 --> 00:09:46,040 Speaker 2: resistance aside and assume that this big beautiful bill does 194 00:09:46,080 --> 00:09:49,319 Speaker 2: get done, it moves to the President's desk. Do you 195 00:09:49,360 --> 00:09:51,520 Speaker 2: have a sense of the impact that this may have 196 00:09:51,600 --> 00:09:52,400 Speaker 2: on the economy. 197 00:09:53,280 --> 00:09:56,240 Speaker 3: Well, it's a big, beautiful bill, so I haven't read it, 198 00:09:56,280 --> 00:09:57,439 Speaker 3: and it's hard to know. 199 00:09:58,040 --> 00:09:59,720 Speaker 4: I mentioned sent in earlier. 200 00:10:00,120 --> 00:10:02,560 Speaker 3: I think that you know, if you're going to cut 201 00:10:02,679 --> 00:10:05,600 Speaker 3: Medicaid and you're already having problems with one of the 202 00:10:05,640 --> 00:10:09,640 Speaker 3: major ACA insurance providers who's already going to have a 203 00:10:09,640 --> 00:10:12,120 Speaker 3: big increase before this announcement, and now they're going to 204 00:10:12,160 --> 00:10:13,800 Speaker 3: go back and ask for an even bigger. 205 00:10:13,480 --> 00:10:15,400 Speaker 4: Increase in twenty twenty six. 206 00:10:15,960 --> 00:10:19,120 Speaker 3: I think we're going to have, you know, one impact 207 00:10:19,160 --> 00:10:23,480 Speaker 3: of it, in my opinion, would be a higher uninsured population, 208 00:10:23,960 --> 00:10:28,400 Speaker 3: which always translates into more healthcare inflation. And that might 209 00:10:28,440 --> 00:10:33,559 Speaker 3: be an unintended consequence of this bill. You know, obviously 210 00:10:33,800 --> 00:10:36,440 Speaker 3: we could be wrong on this, but that that's usually 211 00:10:36,559 --> 00:10:39,439 Speaker 3: what you end up with if you have more uninsured population, 212 00:10:40,160 --> 00:10:42,920 Speaker 3: and whenever you have health care inflation, it tends to 213 00:10:43,000 --> 00:10:45,600 Speaker 3: ripple through the economy and tends to be one of 214 00:10:45,640 --> 00:10:49,280 Speaker 3: those issues that your average American really cares about. Your 215 00:10:49,280 --> 00:10:53,400 Speaker 3: average Americans really looking at, you know, food, housing, and healthcare. 216 00:10:53,800 --> 00:10:56,560 Speaker 3: And so if that's going to really impact them, I 217 00:10:56,559 --> 00:11:00,600 Speaker 3: think it could have rapifications for the economy as we 218 00:11:00,679 --> 00:11:03,719 Speaker 3: go forward. In terms of the keeping the tax cut, 219 00:11:03,800 --> 00:11:06,640 Speaker 3: that's obviously positive for the economy, and there's all kinds 220 00:11:06,640 --> 00:11:08,760 Speaker 3: of things like they're taking away solar credits and stuff 221 00:11:08,800 --> 00:11:10,480 Speaker 3: like that. But one thing I haven't heard a lot 222 00:11:10,480 --> 00:11:12,640 Speaker 3: of people talk about is sort of the impacts of 223 00:11:12,720 --> 00:11:15,360 Speaker 3: healthcare translating to the economy. So for us, that's one 224 00:11:15,400 --> 00:11:17,240 Speaker 3: of the things we're kind of evaluating. 225 00:11:17,520 --> 00:11:19,520 Speaker 2: Brian will leave it there. It's always a pleasure. Thank 226 00:11:19,520 --> 00:11:22,400 Speaker 2: you so much. Brian Crowez. He is the president at 227 00:11:22,400 --> 00:11:26,000 Speaker 2: Scharf Investments. Joining from Los Gatos, California, here on the 228 00:11:26,040 --> 00:11:36,800 Speaker 2: Daybreak Asia podcast. Welcome back to the Daybreak Asia Podcast. 229 00:11:37,000 --> 00:11:40,480 Speaker 2: I'm Doug Prisner. President Trump says the US has reached 230 00:11:40,480 --> 00:11:44,080 Speaker 2: a trade agreement with Vietnam. It will give American companies 231 00:11:44,160 --> 00:11:46,920 Speaker 2: full market access and at the same time, the US 232 00:11:47,000 --> 00:11:51,240 Speaker 2: is slapping a twenty percent tariff on all Vietnamese imports. Now, 233 00:11:51,320 --> 00:11:54,959 Speaker 2: Hanoi hasn't confirmed the framework deal. For more, we heard 234 00:11:54,960 --> 00:11:58,240 Speaker 2: from Bloomberg News Desk editor Jill Desis. She spoke with 235 00:11:58,240 --> 00:12:02,040 Speaker 2: Bloomberg Cherry On and Heidi Strout Watts on the Asia trade. 236 00:12:02,520 --> 00:12:04,360 Speaker 5: Joe, what do we know about sort of the contours 237 00:12:04,440 --> 00:12:06,520 Speaker 5: of this steal and what's been agreed even though of 238 00:12:06,520 --> 00:12:10,160 Speaker 5: course that hasn't been a confirmation from the Vietnam side. 239 00:12:11,000 --> 00:12:12,920 Speaker 6: Well, yeah, I mean, Heidi, I think first of all, 240 00:12:12,960 --> 00:12:14,360 Speaker 6: I just want to point out that we do not 241 00:12:14,440 --> 00:12:16,800 Speaker 6: yet have a term sheet from the White House. They 242 00:12:16,800 --> 00:12:19,280 Speaker 6: haven't released anything, you know, giving a lot of further 243 00:12:19,320 --> 00:12:21,880 Speaker 6: details on there. So really I think there's just two 244 00:12:21,960 --> 00:12:23,839 Speaker 6: numbers that I can give you here. First of all, 245 00:12:25,200 --> 00:12:27,360 Speaker 6: the deal that Trump is announced would include a twenty 246 00:12:27,360 --> 00:12:30,120 Speaker 6: percent tariff on Vietnamese exports to the US, as well 247 00:12:30,120 --> 00:12:32,480 Speaker 6: as a forty percent levey on goods deemed to be 248 00:12:32,600 --> 00:12:35,600 Speaker 6: transshipped through the country. So what that tells me is 249 00:12:35,640 --> 00:12:38,080 Speaker 6: that as part of this steal, there's at least somewhat 250 00:12:38,080 --> 00:12:41,080 Speaker 6: of a focus perhaps on goods that you know, maybe 251 00:12:41,080 --> 00:12:44,440 Speaker 6: shipped through Vietnam from China for example. That's one thing 252 00:12:44,480 --> 00:12:47,320 Speaker 6: that the Trump administration has made very clear as it 253 00:12:47,360 --> 00:12:50,000 Speaker 6: continues to negotiate these types of deals, that one thing 254 00:12:50,080 --> 00:12:53,200 Speaker 6: it's focused on, particularly in some of these Southeast Asian countries, 255 00:12:53,520 --> 00:12:55,600 Speaker 6: is that it really wants to try to figure out 256 00:12:55,600 --> 00:12:58,080 Speaker 6: a way to box out China or otherwise, you know, 257 00:12:58,200 --> 00:13:02,679 Speaker 6: convince more manufacturers to to move goods that they manufacture 258 00:13:02,720 --> 00:13:06,200 Speaker 6: from China to other parts of Southeast Asia, including say Vietnam. 259 00:13:06,440 --> 00:13:08,680 Speaker 6: So that's one thing that those numbers perhaps tell me. 260 00:13:08,720 --> 00:13:11,200 Speaker 6: But again I do want to caution that we don't 261 00:13:11,240 --> 00:13:13,480 Speaker 6: have a term sheet. We don't know exactly what the 262 00:13:13,559 --> 00:13:16,600 Speaker 6: Vietnamese are saying about this, still obviously waiting more fulsome 263 00:13:16,880 --> 00:13:20,600 Speaker 6: confirmation from Hanoi about what exactly we're expecting with this deal. 264 00:13:20,640 --> 00:13:22,400 Speaker 6: But yeah, so it does tell you obviously, you know, 265 00:13:22,480 --> 00:13:25,880 Speaker 6: we're approaching that July ninth deadline that Trump has set 266 00:13:25,440 --> 00:13:28,560 Speaker 6: for you know, kind of coming up with some deals 267 00:13:28,559 --> 00:13:31,760 Speaker 6: to announce to address the reciprocal tariffs they'd announced back 268 00:13:31,800 --> 00:13:35,160 Speaker 6: in April. But we're still getting a lot of information 269 00:13:35,200 --> 00:13:37,400 Speaker 6: that's you know, still coming out. We'll see what ultimately 270 00:13:38,000 --> 00:13:39,960 Speaker 6: is in really kind of the nitty gritty of this 271 00:13:40,000 --> 00:13:40,760 Speaker 6: particular deal. 272 00:13:41,640 --> 00:13:43,920 Speaker 1: Jill, Let's talk a little bit about China, because, as 273 00:13:43,960 --> 00:13:46,680 Speaker 1: you mentioned, they're trying to box in China despite the 274 00:13:46,679 --> 00:13:49,880 Speaker 1: fact that they do have the supposed framework in place 275 00:13:50,240 --> 00:13:53,400 Speaker 1: that has cool tensions when it comes to those tariffs. 276 00:13:53,920 --> 00:13:56,640 Speaker 1: What are they trying to do in terms of using 277 00:13:56,720 --> 00:13:59,600 Speaker 1: O their trading partners and new deals in order to 278 00:13:59,640 --> 00:14:01,240 Speaker 1: restrict Chinese content. 279 00:14:02,280 --> 00:14:04,360 Speaker 6: Well, again, Sherry, I think you know, you look at 280 00:14:04,360 --> 00:14:06,920 Speaker 6: some of them, you know, the strategy that's actually being 281 00:14:07,280 --> 00:14:09,480 Speaker 6: you know, uh com here. I think that you know, 282 00:14:09,520 --> 00:14:11,400 Speaker 6: first of all, the idea is really kind of putting 283 00:14:11,400 --> 00:14:14,640 Speaker 6: pressure on the US trade partners to restrict trade that 284 00:14:14,720 --> 00:14:18,000 Speaker 6: they're doing with China. Obviously, we've seen this happen not 285 00:14:18,200 --> 00:14:20,200 Speaker 6: just in this latest round of trade deals, but over 286 00:14:20,240 --> 00:14:23,320 Speaker 6: the last several years of the US attitude towards China 287 00:14:23,520 --> 00:14:26,760 Speaker 6: has been very much particularly with its biggest allies, saying 288 00:14:27,320 --> 00:14:29,160 Speaker 6: you know, are there, are there you know, sanctions or 289 00:14:29,240 --> 00:14:31,240 Speaker 6: the restrictions you can put in place in terms of 290 00:14:31,280 --> 00:14:33,680 Speaker 6: dealing with uh, you know, in terms of working with 291 00:14:33,760 --> 00:14:36,360 Speaker 6: the Chinese technology, Chinese good there's a lot of you know, 292 00:14:36,400 --> 00:14:39,760 Speaker 6: obviously this more fulsome effort uh to sort of you know, 293 00:14:39,840 --> 00:14:44,360 Speaker 6: prevent China from developing you know, advanced technologies or you know, 294 00:14:44,400 --> 00:14:47,200 Speaker 6: working with say, you know, manufacturing parts or you know 295 00:14:47,240 --> 00:14:50,560 Speaker 6: parts that you know other uh other you know companies 296 00:14:50,600 --> 00:14:52,480 Speaker 6: and other countries might make and sending those to China. 297 00:14:52,520 --> 00:14:55,880 Speaker 6: So that's always a big part of this equation. But again, 298 00:14:56,040 --> 00:14:58,080 Speaker 6: now you're seeing this kind of play out I think 299 00:14:58,120 --> 00:15:01,280 Speaker 6: a little bit in some of these trade deals here. Obviously, 300 00:15:01,440 --> 00:15:03,840 Speaker 6: you know, we're still waiting for more on that Vietnam deal, 301 00:15:03,960 --> 00:15:08,240 Speaker 6: but that transshipment element of this trade deal again does 302 00:15:08,320 --> 00:15:10,680 Speaker 6: lead me to believe that there's a component in there 303 00:15:10,720 --> 00:15:13,720 Speaker 6: that's kind of directed toward trying to shut out China. 304 00:15:14,360 --> 00:15:17,320 Speaker 6: So again, you know, yes, obviously, as the United States 305 00:15:17,360 --> 00:15:19,960 Speaker 6: continues to you know, it's made its own trade deal 306 00:15:20,440 --> 00:15:22,680 Speaker 6: with China in the wake of all of this, the 307 00:15:22,720 --> 00:15:24,480 Speaker 6: fact that you've got all of these other countries that 308 00:15:24,520 --> 00:15:26,000 Speaker 6: are still up in the air in terms of what 309 00:15:26,560 --> 00:15:29,600 Speaker 6: their individual agreements look like the United States, you know, 310 00:15:29,640 --> 00:15:31,880 Speaker 6: I think does suggest that there is a strategy on 311 00:15:31,960 --> 00:15:34,240 Speaker 6: the part of the United States here to try to 312 00:15:34,360 --> 00:15:36,080 Speaker 6: you know, unite a lot of these countries and kind 313 00:15:36,120 --> 00:15:38,680 Speaker 6: of you know, create deals that you know are obviously 314 00:15:38,680 --> 00:15:40,880 Speaker 6: favorable to the United States, but that also maybe I'm 315 00:15:40,960 --> 00:15:43,440 Speaker 6: ultimately unfavorable to Beijing, which is. 316 00:15:43,360 --> 00:15:46,360 Speaker 5: Also why we've seen Beijing on this you know, multilateral 317 00:15:46,400 --> 00:15:50,440 Speaker 5: trade and diplomatic charm offensive right the FORIGN Minister among 318 00:15:50,520 --> 00:15:53,800 Speaker 5: Ease in Europe through to this Sunday over the weekend, 319 00:15:53,880 --> 00:15:56,680 Speaker 5: for the high level strategic dialogues with the Eues, he's 320 00:15:56,800 --> 00:16:00,240 Speaker 5: really you know, pushing home the point of collaboration and 321 00:16:00,480 --> 00:16:04,760 Speaker 5: working together confronting differences as such, there's a lot of 322 00:16:04,800 --> 00:16:09,760 Speaker 5: sort of really historic trade and diplomacy ties there. Could 323 00:16:09,760 --> 00:16:11,840 Speaker 5: that be a point of strength for Beijing. 324 00:16:12,800 --> 00:16:15,800 Speaker 6: I mean potentially and certainly, yes, I'd imagine that if 325 00:16:15,800 --> 00:16:18,200 Speaker 6: you're Wang YIV, you're for the foreign Minister, you're trying 326 00:16:18,200 --> 00:16:21,040 Speaker 6: to smooth over things in Europe, particularly ahead of there's 327 00:16:21,040 --> 00:16:24,080 Speaker 6: a pretty critical EU China summit that's happening in Beijing 328 00:16:24,360 --> 00:16:26,920 Speaker 6: later this month. So I think, you know, a lot 329 00:16:26,920 --> 00:16:29,720 Speaker 6: of what he's doing in Europe right now is kind 330 00:16:29,720 --> 00:16:32,760 Speaker 6: of paving the way for those further talks that they're 331 00:16:32,800 --> 00:16:34,680 Speaker 6: going to have at the end of the month. Yes, 332 00:16:34,760 --> 00:16:38,880 Speaker 6: obviously there's a ton of incredibly critical trade that goes 333 00:16:38,920 --> 00:16:42,240 Speaker 6: through between the EU and China. You know, we know 334 00:16:42,320 --> 00:16:45,360 Speaker 6: that Chinese EV's you know are you know, obviously have 335 00:16:45,480 --> 00:16:48,040 Speaker 6: a pretty big presence in Europe. I think, you know, 336 00:16:48,160 --> 00:16:51,120 Speaker 6: China is obviously, you know, interested in continuing to develop 337 00:16:51,160 --> 00:16:53,880 Speaker 6: some of those types of ties. So yes, obviously, if 338 00:16:53,880 --> 00:16:57,520 Speaker 6: you're the if you're Beijing in all of this, you're 339 00:16:57,520 --> 00:17:00,600 Speaker 6: trying to strengthen your position as well with all of 340 00:17:00,640 --> 00:17:02,720 Speaker 6: the trading partners that you had. I would point out that, 341 00:17:03,040 --> 00:17:06,480 Speaker 6: you know, as you know Donald Trump and the Trump administration, 342 00:17:06,560 --> 00:17:08,879 Speaker 6: we're trying to develop all of these other trade deals. 343 00:17:08,880 --> 00:17:11,760 Speaker 6: Some she jimping himself, the you know, president of China 344 00:17:12,280 --> 00:17:14,480 Speaker 6: was going through and trying to you know, foster tie 345 00:17:14,520 --> 00:17:17,920 Speaker 6: with you know a lot of you know, trading partners 346 00:17:17,960 --> 00:17:20,600 Speaker 6: in Southeast Asia. So this really is a case where 347 00:17:20,600 --> 00:17:23,800 Speaker 6: you've got the world's two foremost economic superpowers that are 348 00:17:23,880 --> 00:17:27,440 Speaker 6: ultimately trying to strategize and trying to work with you know, 349 00:17:27,480 --> 00:17:31,040 Speaker 6: their their individual trading partners. Because these are such important economies, 350 00:17:31,080 --> 00:17:34,439 Speaker 6: they do have incredibly strong trading partnerships and relationships, and 351 00:17:34,520 --> 00:17:36,879 Speaker 6: you know, they obviously have best of interests in keeping 352 00:17:36,920 --> 00:17:38,159 Speaker 6: those you know strong. 353 00:17:38,680 --> 00:17:40,600 Speaker 5: Boom My News desk out to Jode says there with 354 00:17:40,640 --> 00:17:41,680 Speaker 5: the lad us on trade. 355 00:17:43,600 --> 00:17:46,960 Speaker 2: Thanks for listening to today's episode of the Bloomberg Daybreak 356 00:17:47,119 --> 00:17:50,480 Speaker 2: Asia Edition podcast. Each weekday, we look at the story 357 00:17:50,560 --> 00:17:54,919 Speaker 2: shaping markets, finance, and geopolitics in the Asia Pacific. You 358 00:17:54,960 --> 00:17:59,040 Speaker 2: can find us on Apple, Spotify, the Bloomberg Podcast YouTube channel, 359 00:17:59,160 --> 00:18:02,199 Speaker 2: or anywhere else you listen. Join us again tomorrow for 360 00:18:02,320 --> 00:18:05,800 Speaker 2: insight on the market moves from Hong Kong to Singapore 361 00:18:06,200 --> 00:18:10,000 Speaker 2: and Australia. I'm Doug Prisoner and this is Bloomberg