1 00:00:02,520 --> 00:00:11,719 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. Welcome to the Bloomberg 2 00:00:11,800 --> 00:00:15,760 Speaker 1: Daybreak Asia podcast. I'm Doug Chrisner. So the public feud 3 00:00:15,880 --> 00:00:19,200 Speaker 1: between Elon Musk and President Trump erupt it today and 4 00:00:19,360 --> 00:00:22,640 Speaker 1: it cost Musk thirty four billion dollars in net worth. 5 00:00:23,120 --> 00:00:26,239 Speaker 1: Also today, President Trump and Chinese President Chi chen Ping 6 00:00:26,440 --> 00:00:29,960 Speaker 1: agreed to further trade talks after a ninety minute phone 7 00:00:29,960 --> 00:00:32,960 Speaker 1: call and a big question, will Apple be able to 8 00:00:33,000 --> 00:00:37,680 Speaker 1: successfully relocate its supply chain outside of China. We'll check 9 00:00:37,720 --> 00:00:41,480 Speaker 1: in with Bloomberg opinion columnist Katherine Thorbeck, but we begin 10 00:00:41,520 --> 00:00:43,640 Speaker 1: this morning with a look at market action. Joining me 11 00:00:43,720 --> 00:00:46,879 Speaker 1: now is Robert Shine. He is the chief investment officer 12 00:00:46,920 --> 00:00:49,960 Speaker 1: at Blanky Shine Wealth Management. Robert is on the line 13 00:00:49,960 --> 00:00:52,960 Speaker 1: from Palm Desert, California. Good of you to make time 14 00:00:52,960 --> 00:00:54,920 Speaker 1: to chat with us. I want to begin with this 15 00:00:55,040 --> 00:00:58,840 Speaker 1: public feud between Elon Musk and President Trump. It seemed 16 00:00:58,840 --> 00:01:04,360 Speaker 1: to just explode today into threats and recriminations. It began 17 00:01:04,560 --> 00:01:07,200 Speaker 1: when Trump accused Musk of trying to tank the tax 18 00:01:07,240 --> 00:01:12,040 Speaker 1: bill because, in Trump's words, it eliminates electric vehicle credits 19 00:01:12,319 --> 00:01:14,680 Speaker 1: and that in turn is going to hurt Tesla's bottom line, 20 00:01:14,680 --> 00:01:16,680 Speaker 1: the stock was down quite a bit today. Tesla I 21 00:01:16,720 --> 00:01:19,480 Speaker 1: think was off about fourteen percent, but later in the 22 00:01:19,560 --> 00:01:22,959 Speaker 1: day the damage may have been greater because Trump proposed 23 00:01:23,120 --> 00:01:27,280 Speaker 1: ending Musk's government contracts and subsidies, and that's when Musk 24 00:01:27,319 --> 00:01:30,720 Speaker 1: shot back and said he was going to immediately decommission 25 00:01:30,760 --> 00:01:35,520 Speaker 1: the SpaceX Dragon spacecraft. So Robert, first question, is this 26 00:01:35,560 --> 00:01:38,720 Speaker 1: simply a distraction or do you believe this is a 27 00:01:38,880 --> 00:01:39,800 Speaker 1: worrisome sign. 28 00:01:40,720 --> 00:01:44,320 Speaker 2: Well, quite honestly, at first I didn't think it would 29 00:01:44,480 --> 00:01:49,120 Speaker 2: escalate as quickly as it certainly did in real time. 30 00:01:49,440 --> 00:01:53,280 Speaker 2: That was I think shocking to everybody, and you know, 31 00:01:53,480 --> 00:01:57,680 Speaker 2: just watching and following along today's public and very you know, 32 00:01:58,040 --> 00:02:02,840 Speaker 2: very public political circus. My advice is, you know, the 33 00:02:02,920 --> 00:02:07,120 Speaker 2: Trump versus Musk. I believe there's only one person who 34 00:02:07,200 --> 00:02:09,680 Speaker 2: will able to be able to settle this right now, 35 00:02:10,400 --> 00:02:12,760 Speaker 2: and that, in my mind is the great Joe Rogan. 36 00:02:13,360 --> 00:02:16,040 Speaker 2: Joe's going to have to either sit them down in 37 00:02:16,080 --> 00:02:19,240 Speaker 2: a three hour face off in a podcast or put 38 00:02:19,280 --> 00:02:22,160 Speaker 2: them in a rink together because this this got escalated 39 00:02:22,320 --> 00:02:27,040 Speaker 2: very quickly and very you know, quite personal, and it 40 00:02:27,120 --> 00:02:29,600 Speaker 2: was sad to see. So hopefully we're going to turn 41 00:02:29,600 --> 00:02:30,160 Speaker 2: the corner on this. 42 00:02:30,440 --> 00:02:32,520 Speaker 1: Do you believe this is going to have any impact 43 00:02:32,639 --> 00:02:35,520 Speaker 1: on what the Senate is doing right now with respect 44 00:02:35,560 --> 00:02:38,800 Speaker 1: to the tax bill the charge that Musk is making 45 00:02:39,400 --> 00:02:42,160 Speaker 1: that this simply blows out the deficit in a very 46 00:02:42,280 --> 00:02:43,240 Speaker 1: very harmful way. 47 00:02:43,880 --> 00:02:46,320 Speaker 2: If you actually take a step back from what they're 48 00:02:46,360 --> 00:02:50,440 Speaker 2: saying and take out their personal jabs, they're both on 49 00:02:50,520 --> 00:02:54,960 Speaker 2: the same side. They both agree, I think this Senate. Also, 50 00:02:55,000 --> 00:02:57,399 Speaker 2: if you look at top senators, they were asked about 51 00:02:57,440 --> 00:03:00,600 Speaker 2: it later this afternoon, they are in a gree too. 52 00:03:01,080 --> 00:03:04,680 Speaker 2: There's a lot of spending, too much spending that needs 53 00:03:04,680 --> 00:03:07,320 Speaker 2: to be addressed. And let's quite frankly, this is sort 54 00:03:07,360 --> 00:03:09,880 Speaker 2: of the first round, the first week of what the 55 00:03:09,919 --> 00:03:12,800 Speaker 2: Senate is looking at. And everyone, and you know this, 56 00:03:13,040 --> 00:03:16,399 Speaker 2: everyone in Washington puts in their you know, their favorite 57 00:03:17,080 --> 00:03:20,240 Speaker 2: pet project and see if they could pass with nobody 58 00:03:20,480 --> 00:03:22,239 Speaker 2: being able to have time to read it and just 59 00:03:22,280 --> 00:03:26,320 Speaker 2: push the pass button. This shines a light squarely on 60 00:03:27,240 --> 00:03:31,000 Speaker 2: sort of a sobering moment and gets everyone attention to saying, hey, guys, 61 00:03:31,000 --> 00:03:33,320 Speaker 2: time out. We're all on the same page. There's too 62 00:03:33,520 --> 00:03:34,280 Speaker 2: much spending. 63 00:03:34,880 --> 00:03:37,200 Speaker 1: Very interesting in terms of the way in which the 64 00:03:37,280 --> 00:03:42,240 Speaker 1: day began because President Trump on truth social discussed the 65 00:03:42,280 --> 00:03:44,920 Speaker 1: fact that he and President She had a phone call 66 00:03:45,000 --> 00:03:48,000 Speaker 1: and they agreed to further trade talks. Do you think 67 00:03:48,080 --> 00:03:50,880 Speaker 1: that's a positive sign or maybe there's a little bit 68 00:03:50,920 --> 00:03:54,480 Speaker 1: too much optimism being expressed by the President and we've 69 00:03:54,520 --> 00:03:57,080 Speaker 1: got a long, long road ahead in terms of this 70 00:03:57,160 --> 00:03:57,680 Speaker 1: trade war. 71 00:03:58,400 --> 00:04:02,760 Speaker 2: Yeah, let's not over react based upon the distraction today 72 00:04:03,320 --> 00:04:07,680 Speaker 2: on social media between Trump and Elon Musk, simply because 73 00:04:08,720 --> 00:04:12,640 Speaker 2: we did inch closer to at least sitting down at 74 00:04:12,640 --> 00:04:16,080 Speaker 2: the table and a trade deal with China. I think 75 00:04:16,120 --> 00:04:18,400 Speaker 2: that would be extremely bullish for the market and healthy 76 00:04:18,839 --> 00:04:21,880 Speaker 2: to have a more normal relationship with China going forward 77 00:04:22,920 --> 00:04:25,760 Speaker 2: and with every partner around the world. I do believe 78 00:04:25,760 --> 00:04:28,360 Speaker 2: we're going to see a positive outcome and a measured 79 00:04:28,560 --> 00:04:30,920 Speaker 2: progress as a result. And I think this is a 80 00:04:30,960 --> 00:04:34,279 Speaker 2: great step forward, even though it's incremental. 81 00:04:35,120 --> 00:04:37,440 Speaker 1: I'm wondering whether we have reached, not just from the 82 00:04:37,520 --> 00:04:40,240 Speaker 1: US side, but from the China side as well, a 83 00:04:40,400 --> 00:04:44,840 Speaker 1: threshold for pain that can no longer be ignored by 84 00:04:44,839 --> 00:04:48,240 Speaker 1: both sides, and it's in both parties' best interest to 85 00:04:48,320 --> 00:04:50,440 Speaker 1: find a resolution as quickly as possible. 86 00:04:51,200 --> 00:04:55,280 Speaker 2: Yeah, both sides can self induce a recession to their economies. 87 00:04:56,160 --> 00:05:00,120 Speaker 2: And I don't think either one of them politically speak, 88 00:05:00,600 --> 00:05:03,200 Speaker 2: it's the smart thing to do or it's the right 89 00:05:03,240 --> 00:05:06,600 Speaker 2: thing to do. They just have to both put aside 90 00:05:06,600 --> 00:05:10,320 Speaker 2: their differences and sit down and start making some progress 91 00:05:10,680 --> 00:05:12,160 Speaker 2: for the people they all represent. 92 00:05:12,400 --> 00:05:15,080 Speaker 1: So we've talked about two things that essentially put the 93 00:05:15,320 --> 00:05:18,839 Speaker 1: FED into a box. We've got the budget situation and 94 00:05:18,880 --> 00:05:21,240 Speaker 1: we've got the trade war. Talk to me about what 95 00:05:21,279 --> 00:05:24,359 Speaker 1: your expectations are for FED policy in the next couple 96 00:05:24,400 --> 00:05:25,200 Speaker 1: of months. 97 00:05:25,720 --> 00:05:27,560 Speaker 2: I think it's going to be the next couple of 98 00:05:27,640 --> 00:05:31,000 Speaker 2: days and weeks, you know. The Federal Reserve, we do 99 00:05:31,160 --> 00:05:36,760 Speaker 2: believe they have the window of opportunity to start another 100 00:05:36,960 --> 00:05:40,880 Speaker 2: round of rate cuts, simply because I believe that the 101 00:05:40,880 --> 00:05:43,599 Speaker 2: macro data that we're going to see in the weeks 102 00:05:43,640 --> 00:05:47,080 Speaker 2: and months ahead will be showing a slower and a 103 00:05:47,120 --> 00:05:51,600 Speaker 2: cooling economy. Again, we see labor market in play, and 104 00:05:51,720 --> 00:05:54,479 Speaker 2: you know, jobs and wages are kind of, you know, 105 00:05:54,600 --> 00:05:58,320 Speaker 2: trending in the direction that the Federal Reserve needs. Obviously, 106 00:05:58,400 --> 00:06:00,839 Speaker 2: they're going to have to choose between inflation and jobs. 107 00:06:01,760 --> 00:06:05,000 Speaker 2: But at this moment, with all the uncertainty that we've seen, 108 00:06:05,480 --> 00:06:07,240 Speaker 2: and a lot of what the small business owners have 109 00:06:07,320 --> 00:06:10,120 Speaker 2: been doing, which is sitting on their hands. Everyone's waiting 110 00:06:10,120 --> 00:06:13,599 Speaker 2: for the tax bill, everyone's waiting to see the tariffs 111 00:06:13,600 --> 00:06:16,320 Speaker 2: and the shakeout from that. So I think there's going 112 00:06:16,400 --> 00:06:19,200 Speaker 2: to be some slowing in the economy that's going to 113 00:06:19,360 --> 00:06:22,520 Speaker 2: surface in the eco data that could give the Federal 114 00:06:22,560 --> 00:06:24,919 Speaker 2: Reserve in the next couple of months sort of the 115 00:06:24,960 --> 00:06:27,159 Speaker 2: opportunity to make a move. 116 00:06:27,440 --> 00:06:30,280 Speaker 1: So we've sketched out some of the issues that markets 117 00:06:30,279 --> 00:06:33,000 Speaker 1: are grappling with right now. I'm curious, Robert, to get 118 00:06:33,320 --> 00:06:36,720 Speaker 1: your strategy of how to kind of play the terrain, 119 00:06:36,800 --> 00:06:37,480 Speaker 1: so to speak. 120 00:06:38,240 --> 00:06:43,919 Speaker 2: Well, most important for anybody, stay focused and valuation and 121 00:06:43,960 --> 00:06:47,480 Speaker 2: discipline matter in markets like these. And let's be honest, 122 00:06:47,520 --> 00:06:50,400 Speaker 2: the earnings why markets are close to all time high 123 00:06:50,440 --> 00:06:55,320 Speaker 2: since April are the earnings are coming back and bouncing back, 124 00:06:55,360 --> 00:06:58,280 Speaker 2: if you will, and holding in there. In fact, we're 125 00:06:58,320 --> 00:07:01,960 Speaker 2: just seeing, you know, obviously, the concerns the markets about 126 00:07:01,960 --> 00:07:07,720 Speaker 2: inflation and tarras, and that has translated translated into the 127 00:07:07,760 --> 00:07:12,640 Speaker 2: analysts lowering their estimates for the second quarter this year 128 00:07:12,680 --> 00:07:16,840 Speaker 2: for US companies by way of four percent. Historically speaking, 129 00:07:16,920 --> 00:07:20,440 Speaker 2: we haven't seen something that large in the last five, 130 00:07:21,040 --> 00:07:24,800 Speaker 2: ten and fifteen years on average, they would lower estimates, 131 00:07:24,920 --> 00:07:27,120 Speaker 2: especially in the second quarter, by two point six percent. 132 00:07:27,640 --> 00:07:31,280 Speaker 2: That being said, earnings are hanging in there. The only 133 00:07:31,440 --> 00:07:34,640 Speaker 2: sector that didn't last quarter have a year over year 134 00:07:34,880 --> 00:07:40,320 Speaker 2: increase was industrials. Every other sector is improving by double 135 00:07:40,360 --> 00:07:44,320 Speaker 2: digit earnings, and even if we take out the mag seven, 136 00:07:44,520 --> 00:07:48,120 Speaker 2: we have growth in the US companies, So that could 137 00:07:48,160 --> 00:07:50,000 Speaker 2: be a positive for the markets. That's one of the 138 00:07:50,040 --> 00:07:52,920 Speaker 2: reasons why the markets are still hanging in there with 139 00:07:53,120 --> 00:07:57,200 Speaker 2: all of these distractions. So instead of the word of 140 00:07:57,240 --> 00:07:59,360 Speaker 2: the year uncertainty, I think the word of the year 141 00:07:59,400 --> 00:08:02,320 Speaker 2: is going to be resilslliency of the markets as well 142 00:08:02,360 --> 00:08:06,720 Speaker 2: as the economy. And if investors stay focused and keep 143 00:08:06,760 --> 00:08:09,520 Speaker 2: some cash on the sidelines, jump on some opportunities that 144 00:08:09,600 --> 00:08:12,000 Speaker 2: come their way. And trust me, we've already had plenty 145 00:08:12,000 --> 00:08:14,760 Speaker 2: of opportunity and for our clients, we put some money 146 00:08:14,760 --> 00:08:17,440 Speaker 2: to work and we're in great spot, so we're ready 147 00:08:17,480 --> 00:08:20,280 Speaker 2: to jump on that once again if there's more volatility. 148 00:08:20,400 --> 00:08:24,480 Speaker 1: Well, to your point about valuations, we had Broadcom going 149 00:08:24,520 --> 00:08:27,559 Speaker 1: into the day to day trading at around thirty five 150 00:08:27,680 --> 00:08:30,760 Speaker 1: times projected earnings over the next twelve months. Then we 151 00:08:30,840 --> 00:08:33,640 Speaker 1: heard from the company after the bell and Broadcom gave 152 00:08:34,160 --> 00:08:37,400 Speaker 1: somewhat of a lackluster forecast for revenue in the current 153 00:08:37,440 --> 00:08:41,280 Speaker 1: quarter fifteen point eight billion. That's only about one hundred 154 00:08:41,320 --> 00:08:45,560 Speaker 1: million above expectation, but the stock got hit about four 155 00:08:45,600 --> 00:08:49,280 Speaker 1: and a half percent in late trading. So, especially when 156 00:08:49,280 --> 00:08:52,320 Speaker 1: you deal with some of these companies that trade in 157 00:08:52,360 --> 00:08:55,720 Speaker 1: the tech space semiconductors. Here, in the case of Broadcom, 158 00:08:55,920 --> 00:08:59,280 Speaker 1: valuation perhaps the most important criteria. 159 00:08:59,360 --> 00:09:03,080 Speaker 2: Right, yeah, but Broadcom today closed out an all time high, 160 00:09:03,440 --> 00:09:06,760 Speaker 2: so they're you know, having them sell off based upon 161 00:09:07,559 --> 00:09:10,520 Speaker 2: you know, some a weak guide, and every management team, 162 00:09:10,559 --> 00:09:13,440 Speaker 2: whether you're in the chip sector or across the sp 163 00:09:13,520 --> 00:09:15,800 Speaker 2: five hundred, you're going to use this opportunity in your 164 00:09:15,840 --> 00:09:19,560 Speaker 2: conference call to use the word uncertainty ahead because that 165 00:09:19,760 --> 00:09:23,440 Speaker 2: gives you cover given if the economy starts, you know, 166 00:09:24,320 --> 00:09:27,920 Speaker 2: continuing to slow down and accelerate. But let's not forget 167 00:09:27,960 --> 00:09:30,080 Speaker 2: the AI spent for twenty twenty five, just in the 168 00:09:30,080 --> 00:09:33,080 Speaker 2: mag seven is two hundred and forty billion dollars. And 169 00:09:34,000 --> 00:09:37,559 Speaker 2: at this end of the day, Broadcom and Navidia are 170 00:09:37,600 --> 00:09:41,040 Speaker 2: in the chips, storage and power space, so they're squarely 171 00:09:41,080 --> 00:09:45,280 Speaker 2: focused on just executing. You know, I obviously the valuation 172 00:09:45,480 --> 00:09:47,760 Speaker 2: on Broadcom is a little bit rich right now, but 173 00:09:47,760 --> 00:09:51,960 Speaker 2: that was the anticipation of earnings. But if you just 174 00:09:52,000 --> 00:09:55,240 Speaker 2: be patient on some of these companies, let the market 175 00:09:55,760 --> 00:09:58,840 Speaker 2: bring you to a better valuation. Uh, there's still a 176 00:09:58,920 --> 00:10:03,480 Speaker 2: long term growth strategy and good companies to be investing in. 177 00:10:03,679 --> 00:10:06,000 Speaker 1: Robert, we'll leave it there, Thank you so much. Enjoy 178 00:10:06,080 --> 00:10:09,600 Speaker 1: the weekend. Robert Chaine, chief investment officer at Blankie Shine 179 00:10:09,600 --> 00:10:13,400 Speaker 1: Wealth Management, joining on the line from Palm Desert, California 180 00:10:13,440 --> 00:10:22,920 Speaker 1: here on the Daybreak Asia Podcast. Welcome back to the 181 00:10:22,960 --> 00:10:27,480 Speaker 1: Daybreak Asia Podcast. I'm Doug Chrisner. So, last month, President 182 00:10:27,520 --> 00:10:31,359 Speaker 1: Trump threatened to slap tariffs on Apple over its reluctance 183 00:10:31,440 --> 00:10:34,040 Speaker 1: to bring manufacturing back to the US, and at the 184 00:10:34,040 --> 00:10:38,480 Speaker 1: same time, Trump was very critical of Apple's move to 185 00:10:38,640 --> 00:10:41,920 Speaker 1: create more iPhone production in India. Now we know the 186 00:10:41,960 --> 00:10:45,760 Speaker 1: President has placed smartphone production in the spotlight as part 187 00:10:45,840 --> 00:10:49,080 Speaker 1: of his global trade war and his vision to re 188 00:10:49,280 --> 00:10:52,920 Speaker 1: shore manufacturing back to the United States. But in the 189 00:10:52,960 --> 00:10:56,440 Speaker 1: case of Apple, is this really feasible, especially when you 190 00:10:56,559 --> 00:11:00,000 Speaker 1: consider the company's relationship with China. Let's take a close 191 00:11:00,160 --> 00:11:03,920 Speaker 1: to look with Bloomberg's Catherine Thorbeck, Bloomberg opinion columnist who 192 00:11:04,000 --> 00:11:07,960 Speaker 1: joins from Tokyo. The history of making iPhones in China, 193 00:11:08,000 --> 00:11:10,840 Speaker 1: I think goes back to around two thousand and nine, 194 00:11:10,960 --> 00:11:13,679 Speaker 1: and over that period, I would think that the relationship 195 00:11:13,720 --> 00:11:17,800 Speaker 1: between China and Apple has been tightly forged, and it's 196 00:11:17,840 --> 00:11:20,400 Speaker 1: not going to be easy for Apple to extricate itself 197 00:11:20,440 --> 00:11:21,439 Speaker 1: from this situation. 198 00:11:21,720 --> 00:11:25,200 Speaker 3: Right, That's absolutely right, Doug. And we actually got even 199 00:11:25,240 --> 00:11:27,720 Speaker 3: more bad news for Apple and China this week. The 200 00:11:27,760 --> 00:11:30,920 Speaker 3: Financial Times actually reported that the rollout of Apple Intelligence, 201 00:11:31,000 --> 00:11:34,240 Speaker 3: these AI features for the iPhone was delayed even further 202 00:11:34,360 --> 00:11:38,199 Speaker 3: by regulators in Beijing. And that's this long awaited partnership 203 00:11:38,240 --> 00:11:40,760 Speaker 3: between Apple and Ali Baba and China to bring AI 204 00:11:40,800 --> 00:11:44,160 Speaker 3: features to the iPhone in that massive market for Apple, 205 00:11:44,559 --> 00:11:47,240 Speaker 3: and apparently regulators in Beijing are halting their approval of 206 00:11:47,240 --> 00:11:51,000 Speaker 3: this even further due to the trade war. And I think, 207 00:11:51,040 --> 00:11:53,600 Speaker 3: taking a step back, what's interesting here is that it's 208 00:11:53,600 --> 00:11:56,679 Speaker 3: not the US that's using this sort of crown jewel 209 00:11:56,720 --> 00:11:58,600 Speaker 3: of Silicon Valley as a chip in the trade war. 210 00:11:58,679 --> 00:12:02,000 Speaker 3: It's China. I think the reality is China has immense 211 00:12:02,120 --> 00:12:05,480 Speaker 3: leverage over Apple right now. And I actually wrote about 212 00:12:05,480 --> 00:12:08,520 Speaker 3: this new book called Apple and China by Patrick McGee 213 00:12:08,880 --> 00:12:13,000 Speaker 3: that very convincingly argues that Apple's biggest existential threat right 214 00:12:13,040 --> 00:12:15,920 Speaker 3: now is not Trump and is constant nagging about tariffs, 215 00:12:15,920 --> 00:12:18,680 Speaker 3: but Beijing and the hold and the sway that Beijing 216 00:12:18,760 --> 00:12:21,800 Speaker 3: has over Apple. And really, over the course of decades, 217 00:12:21,880 --> 00:12:24,880 Speaker 3: it's been Apple's been chasing sort of short term profits 218 00:12:24,880 --> 00:12:27,240 Speaker 3: by making really small decisions that have led to where 219 00:12:27,240 --> 00:12:29,640 Speaker 3: it is now, which is pretty much entirely relying on 220 00:12:29,720 --> 00:12:31,200 Speaker 3: China to produce its products. 221 00:12:31,240 --> 00:12:33,480 Speaker 1: So when I read your column and you referred to 222 00:12:33,600 --> 00:12:37,160 Speaker 1: Apple and China, the Patrick McGee book, I thought of 223 00:12:37,840 --> 00:12:42,520 Speaker 1: Chipwar by Chris Miller and his history of the semiconductor industry, 224 00:12:42,679 --> 00:12:45,959 Speaker 1: first design and built in Silicon Valley, and then very 225 00:12:46,040 --> 00:12:49,680 Speaker 1: quickly moving production to Asia, first Hong Kong. I believe 226 00:12:49,960 --> 00:12:53,679 Speaker 1: Japan was involved there, along with South Korea and eventually Taiwan. 227 00:12:54,120 --> 00:12:58,000 Speaker 1: So what you begin to understand is the intricacy of 228 00:12:58,080 --> 00:13:00,960 Speaker 1: the supply chain, and I would imagine that Apple is 229 00:13:01,280 --> 00:13:02,920 Speaker 1: very very reliant. 230 00:13:02,440 --> 00:13:06,840 Speaker 3: On that absolutely. I mean, at this point, Apple's you know, 231 00:13:06,880 --> 00:13:10,160 Speaker 3: all of its marquee products are pretty much entirely reliant 232 00:13:10,240 --> 00:13:13,960 Speaker 3: on suppliers in China, and I think, you know, with 233 00:13:14,040 --> 00:13:18,560 Speaker 3: Trump now, he's been very insistent on threatening all these 234 00:13:18,640 --> 00:13:21,200 Speaker 3: tariffs on Apple and asking them to move production back 235 00:13:21,200 --> 00:13:23,880 Speaker 3: to the US. I just don't think that's possible. And 236 00:13:24,120 --> 00:13:27,160 Speaker 3: for a number of reasons. You know, I think this 237 00:13:27,320 --> 00:13:30,360 Speaker 3: the supply chain ecosystem in China was built up sort 238 00:13:30,400 --> 00:13:32,240 Speaker 3: of as Beijing was playing the long game, So it 239 00:13:32,280 --> 00:13:34,360 Speaker 3: was built up over decades, and that's going to be very, 240 00:13:34,440 --> 00:13:37,240 Speaker 3: very hard to replicate in the US. But I also 241 00:13:37,240 --> 00:13:39,480 Speaker 3: think at this point, you know, Apple can't really move 242 00:13:39,520 --> 00:13:42,960 Speaker 3: away from China without irking and upsetting Beijing. So it 243 00:13:43,000 --> 00:13:45,559 Speaker 3: has to do so sort of very slowly so as 244 00:13:45,559 --> 00:13:48,200 Speaker 3: not to upset regulators in China. But also it can't 245 00:13:48,200 --> 00:13:50,880 Speaker 3: go too slow because then it, you know, will be 246 00:13:50,920 --> 00:13:55,080 Speaker 3: harder to inevitably get it done. So this book, which 247 00:13:55,120 --> 00:13:57,560 Speaker 3: is you know, a very gripping read on how we 248 00:13:57,640 --> 00:13:59,920 Speaker 3: sort of got here, but it sort of argues that 249 00:14:01,920 --> 00:14:05,559 Speaker 3: it basically argues that this technology transfer that was facilitated 250 00:14:05,559 --> 00:14:09,000 Speaker 3: by Apple through you know, setting up its supply chain 251 00:14:09,000 --> 00:14:12,560 Speaker 3: in China, actually made Apple one of the biggest corporate 252 00:14:12,800 --> 00:14:15,800 Speaker 3: the biggest corporate backer of President Chijin Pings Made in 253 00:14:15,880 --> 00:14:18,720 Speaker 3: China twenty twenty five plan, which was this really ambitious 254 00:14:18,720 --> 00:14:22,560 Speaker 3: goal to sever reliance on foreign technology, and Apple's upscilling 255 00:14:22,640 --> 00:14:25,080 Speaker 3: of workers in high tech manufacturing over the years have 256 00:14:25,200 --> 00:14:28,240 Speaker 3: actually given birth to these homegrown tech companies like Huawei. 257 00:14:28,600 --> 00:14:31,440 Speaker 1: Here you right about how in the early days it 258 00:14:31,520 --> 00:14:34,000 Speaker 1: was Apple engineers from the United States that were going 259 00:14:34,040 --> 00:14:37,360 Speaker 1: to China to help train Chinese workers, and how that's 260 00:14:37,400 --> 00:14:38,680 Speaker 1: kind of turned around. 261 00:14:39,360 --> 00:14:43,520 Speaker 3: Right, So I remember, I think we all remember during 262 00:14:43,720 --> 00:14:47,440 Speaker 3: President Trump's first term, he famously toured that Texas factory 263 00:14:47,440 --> 00:14:51,280 Speaker 3: and he claimed credit for bringing Apple production back to America. 264 00:14:51,360 --> 00:14:54,120 Speaker 3: Except some workers that were quoted in this book actually 265 00:14:54,120 --> 00:14:57,880 Speaker 3: called that plant an unmitigated fiasco, and they say that 266 00:14:57,960 --> 00:14:59,880 Speaker 3: workers in China had to be flown in to fi 267 00:15:00,200 --> 00:15:03,560 Speaker 3: all of the manufacturing issues that were really encountered in 268 00:15:03,560 --> 00:15:05,880 Speaker 3: the US heartland. And I thought that was a really 269 00:15:05,880 --> 00:15:08,160 Speaker 3: interesting anecdote sort of at the end of this book, 270 00:15:08,200 --> 00:15:11,400 Speaker 3: because up until then, the entire book was about how 271 00:15:11,480 --> 00:15:14,480 Speaker 3: Apple flew engineers from Coupertino to China to sort of 272 00:15:14,760 --> 00:15:18,520 Speaker 3: work with suppliers in Asia and build out these high 273 00:15:18,520 --> 00:15:22,400 Speaker 3: tech manufacturing ecosystems, and now the tables have it seems 274 00:15:22,400 --> 00:15:23,520 Speaker 3: like irreversibly turned. 275 00:15:24,280 --> 00:15:26,720 Speaker 1: Yeah. The other thing that's very interesting. During the first 276 00:15:26,720 --> 00:15:29,520 Speaker 1: Trump trade war, I think Apple was put on notice 277 00:15:29,560 --> 00:15:32,520 Speaker 1: that it needed to diversify its supply chains, and the 278 00:15:32,600 --> 00:15:37,120 Speaker 1: company began to deepen its relationship with India. How does 279 00:15:37,160 --> 00:15:39,680 Speaker 1: that enter into this story, right? 280 00:15:39,760 --> 00:15:42,080 Speaker 3: So, I think even more recently we've seen Apple try 281 00:15:42,120 --> 00:15:45,320 Speaker 3: to sort of move towards India and set up its 282 00:15:45,320 --> 00:15:47,720 Speaker 3: supply chain over there. But I think now that's going 283 00:15:47,800 --> 00:15:50,680 Speaker 3: to be very, very difficult for a number of reasons. 284 00:15:51,080 --> 00:15:55,280 Speaker 3: And one issue is that China does a really good 285 00:15:55,360 --> 00:15:59,760 Speaker 3: job of sort of suppressing labor issues. So, you know, 286 00:16:01,240 --> 00:16:04,400 Speaker 3: I think Apple suppliers in China were able to sort 287 00:16:04,400 --> 00:16:07,840 Speaker 3: of suppress any labor unrest and Beijing was able to 288 00:16:07,880 --> 00:16:10,480 Speaker 3: sort of quell any media reports of it. And there 289 00:16:10,560 --> 00:16:13,440 Speaker 3: was a Samsung plant that was set up in India 290 00:16:13,760 --> 00:16:15,560 Speaker 3: a couple of years ago, and I believe last year 291 00:16:15,600 --> 00:16:18,520 Speaker 3: there was a very big strike and that made international headlines, 292 00:16:18,520 --> 00:16:20,480 Speaker 3: and that kind of thing doesn't really happen in China. 293 00:16:21,120 --> 00:16:23,880 Speaker 3: You know, we saw during the COVID lockdowns at the 294 00:16:23,920 --> 00:16:27,800 Speaker 3: iPhone factory there that the protests were very very quickly 295 00:16:27,960 --> 00:16:30,640 Speaker 3: quashed in China, and so I think that that's going 296 00:16:30,680 --> 00:16:32,480 Speaker 3: to be hard to set up in India. And on 297 00:16:32,520 --> 00:16:35,400 Speaker 3: top of that, I mean, just like I said, they 298 00:16:35,480 --> 00:16:37,840 Speaker 3: built the supply chain ecosystem in China over the course 299 00:16:37,880 --> 00:16:40,200 Speaker 3: of decades, and so recreating that in India is going 300 00:16:40,240 --> 00:16:42,120 Speaker 3: to take about the same amount of time, if it's 301 00:16:42,160 --> 00:16:44,480 Speaker 3: even possible, and it's going to be very very expensive. 302 00:16:44,840 --> 00:16:47,200 Speaker 3: But at this point, you know, it's not just sort 303 00:16:47,200 --> 00:16:49,240 Speaker 3: of the first tier suppliers, but it's the second tier 304 00:16:49,280 --> 00:16:53,080 Speaker 3: suppliers and all the engineers, and just recreating that somewhere 305 00:16:53,080 --> 00:16:56,680 Speaker 3: else right now is a very very tall task for Apple, 306 00:16:56,720 --> 00:16:59,440 Speaker 3: and I think it's pretty much impossible in America. 307 00:16:59,600 --> 00:17:03,440 Speaker 1: We know that Apple's manufacturing partner in China is Fox Cohn, 308 00:17:03,480 --> 00:17:06,520 Speaker 1: and the company that is known in China as han Hi, 309 00:17:07,000 --> 00:17:10,800 Speaker 1: its founder Terry Guo, is really to be credited with 310 00:17:11,000 --> 00:17:14,200 Speaker 1: building this organization into quite the powerhouse, and I would 311 00:17:14,200 --> 00:17:17,480 Speaker 1: imagine that's another thing that would be very very difficult 312 00:17:17,600 --> 00:17:19,600 Speaker 1: for Apple to walk away from. 313 00:17:20,080 --> 00:17:21,879 Speaker 3: That's right, And so I think you know, we've all 314 00:17:21,920 --> 00:17:24,680 Speaker 3: heard of the sort of legendary partnership between Johnny Ive 315 00:17:24,760 --> 00:17:27,560 Speaker 3: the designer, and Steve Jobs, who really made the iPhone 316 00:17:28,640 --> 00:17:31,520 Speaker 3: such a unique product. But I think perhaps a more 317 00:17:31,560 --> 00:17:35,400 Speaker 3: revolutionary partnership was between Tim Cook and Terry Go who 318 00:17:35,760 --> 00:17:37,840 Speaker 3: really brought the iPhone to the masses and made it 319 00:17:37,880 --> 00:17:40,760 Speaker 3: so that it could be you know, manufactured at scale. 320 00:17:41,119 --> 00:17:41,919 Speaker 1: And Terry Go. 321 00:17:42,160 --> 00:17:45,080 Speaker 3: Was very very wise. You know, he was obsessed with 322 00:17:45,160 --> 00:17:46,000 Speaker 3: cutting costs. 323 00:17:46,080 --> 00:17:46,240 Speaker 1: You know. 324 00:17:46,320 --> 00:17:49,360 Speaker 3: One source in this book described him as worth two 325 00:17:49,359 --> 00:17:51,639 Speaker 3: billion dollars in nickels and dimes, and he would always 326 00:17:51,640 --> 00:17:53,919 Speaker 3: sort of dilute the hand soapen factories with water. So 327 00:17:53,960 --> 00:17:56,280 Speaker 3: he was very very frugal. But at the same time, 328 00:17:56,320 --> 00:17:59,280 Speaker 3: he recognized that working with Apple wasn't just about making profits. 329 00:17:59,640 --> 00:18:02,720 Speaker 3: It was sort of the tacit knowledge and the learning 330 00:18:02,800 --> 00:18:06,280 Speaker 3: that his team would would receive from the Apple engineers 331 00:18:06,280 --> 00:18:09,439 Speaker 3: that were flown over. So he understood that sort of 332 00:18:09,560 --> 00:18:12,240 Speaker 3: even losing money if it meant getting these Apple orders 333 00:18:12,400 --> 00:18:15,600 Speaker 3: was very very valuable, and I think sort of as 334 00:18:15,600 --> 00:18:17,840 Speaker 3: a result of that, he's sort of trained up this 335 00:18:17,920 --> 00:18:22,440 Speaker 3: whole army of engineers, these Fox cont engineers that really 336 00:18:22,480 --> 00:18:25,160 Speaker 3: have this sort of tacit knowledge that they can use 337 00:18:25,200 --> 00:18:28,120 Speaker 3: to make the iPhones, and now in China are sort 338 00:18:28,119 --> 00:18:31,840 Speaker 3: of being used to sort of launch some homegrown competitors 339 00:18:31,880 --> 00:18:35,920 Speaker 3: that are actually really a concern for Apple right now. 340 00:18:36,440 --> 00:18:39,720 Speaker 1: So maybe Apple is making a small step because recently 341 00:18:39,720 --> 00:18:42,600 Speaker 1: Bloomberg News reported that the company is planning to source 342 00:18:42,720 --> 00:18:46,280 Speaker 1: more than nineteen billion chips from the US this year 343 00:18:46,320 --> 00:18:50,160 Speaker 1: as part of a plan to diversify its global supply chain, 344 00:18:50,440 --> 00:18:54,320 Speaker 1: maybe reduce its reliance on China a little bit and 345 00:18:54,400 --> 00:18:57,840 Speaker 1: give the Trump administration something that it's looking for. We'll 346 00:18:57,840 --> 00:19:00,840 Speaker 1: see whether that develops into a bigger story. Catherine, Thank 347 00:19:00,840 --> 00:19:04,680 Speaker 1: you so much. Bloomberg Opinion columnist Katherine Thorbeck joining from 348 00:19:04,720 --> 00:19:10,080 Speaker 1: Tokyo here on the Daybreak Asia podcast. Thanks for listening 349 00:19:10,119 --> 00:19:14,320 Speaker 1: to today's episode of the Bloomberg Daybreak Asia Edition podcast. 350 00:19:14,640 --> 00:19:17,800 Speaker 1: Each weekday, we look at the story shaping markets, finance, 351 00:19:18,119 --> 00:19:21,240 Speaker 1: and geopolitics in the Asia Pacific. You can find us 352 00:19:21,240 --> 00:19:25,480 Speaker 1: on Apple, Spotify, the Bloomberg Podcast YouTube channel, or anywhere 353 00:19:25,480 --> 00:19:28,560 Speaker 1: else you listen. Join us again tomorrow for insight on 354 00:19:28,600 --> 00:19:32,760 Speaker 1: the market moves from Hong Kong to Singapore and Australia. 355 00:19:33,200 --> 00:19:35,639 Speaker 1: I'm Doug Chrisner, and this is Bloomberg