1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:10,000 --> 00:00:13,520 Speaker 2: Welcome to the Bloomberg day Break Asia Podcast. I'm Doug Chrisner. 3 00:00:14,080 --> 00:00:17,640 Speaker 2: So markets in Asia are looking to mimic Monday's performance 4 00:00:17,640 --> 00:00:20,360 Speaker 2: in the US, where the bulls drove equities to all 5 00:00:20,400 --> 00:00:24,160 Speaker 2: time highs. Also today the question of whether fierce competition 6 00:00:24,280 --> 00:00:28,440 Speaker 2: in China's AI industry is muddying the long term outlook 7 00:00:28,480 --> 00:00:30,600 Speaker 2: for the sector. In a moment or two, we'll be 8 00:00:30,680 --> 00:00:34,640 Speaker 2: joined by Bloomberg Opinion columnist Catherine Thorbeck. But we begin 9 00:00:34,680 --> 00:00:37,400 Speaker 2: this morning with markets. As I mentioned, equities in the 10 00:00:37,400 --> 00:00:39,560 Speaker 2: States at all time highs on the final day of 11 00:00:39,600 --> 00:00:42,080 Speaker 2: the second quarter. So now the S and P five 12 00:00:42,159 --> 00:00:45,920 Speaker 2: hundred is up roughly twenty five percent from its April lows, 13 00:00:46,360 --> 00:00:50,080 Speaker 2: its best quarter since December twenty twenty three. Today we 14 00:00:50,200 --> 00:00:52,959 Speaker 2: broke above sixty two hundred for the first time, tech 15 00:00:53,000 --> 00:00:55,880 Speaker 2: shares leading the charge. And for a closer look at 16 00:00:55,920 --> 00:00:59,000 Speaker 2: the price section, I'm joined now by Burns McKinney. He 17 00:00:59,200 --> 00:01:02,680 Speaker 2: is managing to arect doctor also senior portfolio manager at 18 00:01:02,800 --> 00:01:06,000 Speaker 2: NFJ Investment Group. Burns, thank you so much for making 19 00:01:06,040 --> 00:01:08,120 Speaker 2: time to chat with me. What's your view on the 20 00:01:08,240 --> 00:01:10,080 Speaker 2: rally that we saw in Q two. 21 00:01:11,040 --> 00:01:12,720 Speaker 3: It's it's it's just amazing. 22 00:01:12,760 --> 00:01:15,520 Speaker 4: How you know, if an investor went to sleep at 23 00:01:15,520 --> 00:01:17,360 Speaker 4: the end of the first quarter and then woke up 24 00:01:17,360 --> 00:01:19,080 Speaker 4: at the end of the second quarter, they think, hey, 25 00:01:19,120 --> 00:01:20,800 Speaker 4: this has been a pretty quiet quarter. 26 00:01:20,720 --> 00:01:21,880 Speaker 3: And not a lot has happened. 27 00:01:21,880 --> 00:01:24,199 Speaker 4: But you know, we've been on a pretty wild round trip, 28 00:01:24,280 --> 00:01:27,120 Speaker 4: and you know, really it's it's at least pretty simple 29 00:01:27,160 --> 00:01:29,559 Speaker 4: to explain. I mean, the market's you know, really got 30 00:01:29,640 --> 00:01:34,440 Speaker 4: pummeled after the April second announcement of the tariffs, the 31 00:01:35,280 --> 00:01:39,280 Speaker 4: Liberation Day or obliteration Day, if you will, And you know, 32 00:01:39,400 --> 00:01:41,040 Speaker 4: as the markets have kind of gained more and more 33 00:01:41,080 --> 00:01:44,000 Speaker 4: confidence that okay, you know what, the president really does 34 00:01:44,120 --> 00:01:46,440 Speaker 4: care what the markets think, and a lot of these 35 00:01:46,480 --> 00:01:49,840 Speaker 4: tariffs won't be as bad as feared, they rebounded really 36 00:01:49,960 --> 00:01:53,920 Speaker 4: just back where they were. That said, you know, the 37 00:01:54,000 --> 00:01:56,080 Speaker 4: risk awards, you know, may be a little bit worse 38 00:01:56,120 --> 00:01:57,880 Speaker 4: than it was at the beginning of the period, simply 39 00:01:57,920 --> 00:02:00,600 Speaker 4: because you know, despite the fact that the tariffs may 40 00:02:00,640 --> 00:02:03,960 Speaker 4: not be as bad as once feared, you're still looking 41 00:02:04,200 --> 00:02:07,320 Speaker 4: at levels that will probably be three to four times 42 00:02:07,440 --> 00:02:09,600 Speaker 4: anything that we've seen in our lifetime. 43 00:02:10,280 --> 00:02:13,880 Speaker 2: Last Friday strategist over at Bank of America, we're warning 44 00:02:13,960 --> 00:02:19,000 Speaker 2: that there is an increasing risk of a speculative bubble inequities. 45 00:02:19,080 --> 00:02:20,280 Speaker 2: Is that something you share. 46 00:02:21,200 --> 00:02:23,160 Speaker 3: Yeah, Bubble is a word that I think. 47 00:02:23,639 --> 00:02:26,839 Speaker 4: It gets clicks, It gets people excited. You know, it's 48 00:02:26,840 --> 00:02:29,400 Speaker 4: hard to say there's a bubble. But that said, you know, 49 00:02:29,520 --> 00:02:33,239 Speaker 4: equity markets do look a bit richly valued. You're looking 50 00:02:33,320 --> 00:02:35,960 Speaker 4: at you know, the US markets trading at about twenty 51 00:02:36,000 --> 00:02:39,280 Speaker 4: three times earnings. That's about a third above their long 52 00:02:39,360 --> 00:02:44,560 Speaker 4: term average valuation. And it's really only been more expensive 53 00:02:44,639 --> 00:02:47,639 Speaker 4: than this about twenty percent of the time over the 54 00:02:47,720 --> 00:02:51,040 Speaker 4: last twenty five years. And so stocks are rich. You know, 55 00:02:51,160 --> 00:02:54,200 Speaker 4: looking forward, it's hard to see multiple expansion from here 56 00:02:54,440 --> 00:02:56,720 Speaker 4: for an investor in the broader market. So you're just 57 00:02:56,720 --> 00:02:58,640 Speaker 4: going to have to rely on good old fashion earnings growth, 58 00:02:58,639 --> 00:03:00,920 Speaker 4: and even that's at risk given the fact that you know, 59 00:03:01,000 --> 00:03:05,600 Speaker 4: tariffs could squeeze margins. And so, you know, looking looking backward, 60 00:03:05,680 --> 00:03:07,320 Speaker 4: you in the last couple of years, you know, I say, 61 00:03:07,680 --> 00:03:09,760 Speaker 4: last year, we're sort of like throwing the football down 62 00:03:09,760 --> 00:03:12,880 Speaker 4: the field forty yard bomb. Year before that, forty yard 63 00:03:12,880 --> 00:03:16,160 Speaker 4: hail Mary. You know, going forward, investors probably kind of 64 00:03:16,320 --> 00:03:18,480 Speaker 4: looking at the good old fashioned, you know, three yards 65 00:03:18,520 --> 00:03:20,880 Speaker 4: in a cloud of dust, But there are opportunities to 66 00:03:20,919 --> 00:03:22,000 Speaker 4: be had beneath the surface. 67 00:03:22,200 --> 00:03:25,520 Speaker 2: So you mentioned margins. Are margins really the biggest test 68 00:03:25,680 --> 00:03:27,520 Speaker 2: in the upcoming earning season. 69 00:03:28,440 --> 00:03:30,800 Speaker 4: It's definitely what investors are going to be keeping an 70 00:03:30,840 --> 00:03:32,520 Speaker 4: eye on, and that's what they're going to be listening 71 00:03:32,560 --> 00:03:34,440 Speaker 4: for in all the earnings calls. 72 00:03:34,920 --> 00:03:37,720 Speaker 3: I mean in general, you know, you know, in. 73 00:03:37,680 --> 00:03:40,640 Speaker 4: A capitalistic society, margins are one of the most mean 74 00:03:40,680 --> 00:03:44,160 Speaker 4: reverting stats out there. And you know, even prior to 75 00:03:44,480 --> 00:03:49,600 Speaker 4: the current policy environment, corporate profit margins were really near 76 00:03:49,760 --> 00:03:52,240 Speaker 4: all time highs. And now when you factor in the 77 00:03:52,240 --> 00:03:55,360 Speaker 4: fact that we've seen tariffs start to go into place, 78 00:03:55,800 --> 00:03:59,360 Speaker 4: we haven't necessarily seen a lot of those increases in 79 00:03:59,440 --> 00:04:03,080 Speaker 4: costs be passed on to consumers, and so there's really 80 00:04:03,120 --> 00:04:04,320 Speaker 4: nowhere for that to go. 81 00:04:04,480 --> 00:04:06,680 Speaker 3: But basically squeeze. 82 00:04:06,200 --> 00:04:08,280 Speaker 4: Profit margins a little bit on the corporate environment, and 83 00:04:08,280 --> 00:04:10,280 Speaker 4: that's certainly what investors are going to be focused on. 84 00:04:10,440 --> 00:04:12,400 Speaker 2: Maybe we can talk a little bit about the dollar. 85 00:04:12,840 --> 00:04:14,840 Speaker 2: For the month of June, I think the Bloomberg Dollar 86 00:04:14,920 --> 00:04:17,480 Speaker 2: Spot index was down about two percent, and I think 87 00:04:17,720 --> 00:04:20,080 Speaker 2: right now we're at about the lowest level since March 88 00:04:20,120 --> 00:04:23,160 Speaker 2: twenty twenty two. I'm wondering whether you think this is 89 00:04:23,200 --> 00:04:29,000 Speaker 2: an illustration of diminished appeal of US assets globally. And 90 00:04:29,320 --> 00:04:31,480 Speaker 2: if that's the case, why is. 91 00:04:31,480 --> 00:04:35,279 Speaker 4: That there's definitely been more and more discussion about a 92 00:04:35,640 --> 00:04:38,960 Speaker 4: sort of an end to the period of US or 93 00:04:39,000 --> 00:04:43,000 Speaker 4: American exceptionalism. You know, we've been in an environment whereby 94 00:04:44,000 --> 00:04:48,680 Speaker 4: you know, US stocks ab outperformed global global global markets 95 00:04:48,680 --> 00:04:51,719 Speaker 4: outside the United States by over the last decade by 96 00:04:51,920 --> 00:04:55,240 Speaker 4: you know, one hundred percentage points. And you know a 97 00:04:55,279 --> 00:04:58,440 Speaker 4: lot of that's had to do with the innovation and 98 00:04:58,600 --> 00:05:02,000 Speaker 4: environment embracing in the United States. But you know, as 99 00:05:02,080 --> 00:05:05,919 Speaker 4: investors have seen certain threats to that again, you know, 100 00:05:06,000 --> 00:05:08,200 Speaker 4: trade wars. You know, we we say trade war is 101 00:05:08,240 --> 00:05:11,000 Speaker 4: easy to win. You know, there's really aren't. There might 102 00:05:11,040 --> 00:05:13,279 Speaker 4: be relative winners in a trade war, but you know, 103 00:05:13,400 --> 00:05:16,560 Speaker 4: basically on absolute basis, everyone loses. And so you know, 104 00:05:16,640 --> 00:05:20,359 Speaker 4: between that between you know, geopolitical risk and you know, 105 00:05:20,400 --> 00:05:24,360 Speaker 4: whether it's just smaller risks like threats to fit into independence. Uh, 106 00:05:24,400 --> 00:05:27,360 Speaker 4: and investors are starting to look elsewhere and you know, 107 00:05:27,480 --> 00:05:31,600 Speaker 4: you've seen lower evaluations overseas for a long time, but 108 00:05:31,640 --> 00:05:34,440 Speaker 4: you haven't necessarily had the catalysts to get investors to 109 00:05:34,520 --> 00:05:37,520 Speaker 4: jump into those valuations. So it definitely makes a case 110 00:05:37,560 --> 00:05:41,440 Speaker 4: for uh, you know, maybe investors diversifying their portfolios. Maybe 111 00:05:41,480 --> 00:05:44,120 Speaker 4: you know, again not necessarily selling the US, but you know, 112 00:05:44,160 --> 00:05:46,960 Speaker 4: maybe you know, diversifying away from your winners and maybe 113 00:05:47,000 --> 00:05:49,200 Speaker 4: you know, adding to some of your losers. 114 00:05:49,279 --> 00:05:51,960 Speaker 2: So the equity market seems to be telling us we 115 00:05:52,000 --> 00:05:55,080 Speaker 2: will avoid a recession here in the US. The bond 116 00:05:55,160 --> 00:05:59,599 Speaker 2: market seems to be suggesting that inflation is not an issue. 117 00:05:59,640 --> 00:06:01,720 Speaker 2: Right now, does the bond market have it right? 118 00:06:02,560 --> 00:06:02,760 Speaker 3: Yeah? 119 00:06:03,320 --> 00:06:05,520 Speaker 4: Well, first, yeah, I hate to admit this as an 120 00:06:05,560 --> 00:06:08,800 Speaker 4: equity investor, but the bond market usually gets a little 121 00:06:08,839 --> 00:06:12,479 Speaker 4: bit more correct than equity managers such as ourselves. But 122 00:06:12,920 --> 00:06:15,680 Speaker 4: you know, inflation, you know, you really have seen you know, 123 00:06:15,839 --> 00:06:20,520 Speaker 4: I think that the FED was fairly successful in you know, 124 00:06:20,880 --> 00:06:24,920 Speaker 4: threading that needle and navigating you know, cutting job openings 125 00:06:24,920 --> 00:06:28,800 Speaker 4: without cutting jobs, and taming inflation and just keeping you know, 126 00:06:28,960 --> 00:06:30,880 Speaker 4: the most important thing they had to do was keep 127 00:06:31,000 --> 00:06:34,600 Speaker 4: investor expectations of inflation down because that's the type of 128 00:06:34,640 --> 00:06:37,240 Speaker 4: thinking that can just spiral out of control. And you know, 129 00:06:37,240 --> 00:06:38,919 Speaker 4: we're in a world now where you know, the Fed's 130 00:06:39,000 --> 00:06:43,080 Speaker 4: preferred measure, the you know, the core PCEE for inflation 131 00:06:43,680 --> 00:06:46,080 Speaker 4: is now running roughly you know, two and a half percent, 132 00:06:46,200 --> 00:06:47,520 Speaker 4: and if in fact, if you look at the last 133 00:06:47,600 --> 00:06:50,880 Speaker 4: three months and annualize those, it's really right at the 134 00:06:50,920 --> 00:06:52,279 Speaker 4: FEDS two percent target. 135 00:06:52,360 --> 00:06:54,240 Speaker 3: And so inflation has been coming down. 136 00:06:54,480 --> 00:06:56,080 Speaker 4: You know. One of the big fears has been that 137 00:06:56,320 --> 00:07:00,680 Speaker 4: tariffs might you know, cause resurgence in inflation. We haven't 138 00:07:00,720 --> 00:07:04,280 Speaker 4: seen that yet, and so it does seem that you know, 139 00:07:04,680 --> 00:07:08,360 Speaker 4: you know, pricing increases are probably a bit behind us, 140 00:07:08,520 --> 00:07:11,600 Speaker 4: notwithstanding whether we have a geopolitical shock that might actually 141 00:07:11,680 --> 00:07:13,360 Speaker 4: drive up energy prices in the their term. 142 00:07:13,520 --> 00:07:15,320 Speaker 2: So I think we can agree that a lot of 143 00:07:15,320 --> 00:07:17,280 Speaker 2: the gains that we have seen in stocks have been 144 00:07:17,280 --> 00:07:19,840 Speaker 2: built on hope that the FED is going to resume 145 00:07:20,160 --> 00:07:22,000 Speaker 2: rate cuts at some point. Do you have a sense 146 00:07:22,000 --> 00:07:24,520 Speaker 2: of when that may happen? Is it September? Perhaps a 147 00:07:24,560 --> 00:07:25,720 Speaker 2: little sooner, maybe July? 148 00:07:26,360 --> 00:07:28,840 Speaker 4: Yeah, yeah, I think what the markets are pricing in 149 00:07:28,920 --> 00:07:31,960 Speaker 4: is something along the lines of September or October. 150 00:07:32,600 --> 00:07:32,760 Speaker 3: You know. 151 00:07:32,840 --> 00:07:34,560 Speaker 4: The great thing about this, and this is the reason 152 00:07:34,600 --> 00:07:37,040 Speaker 4: the markets have rallied, is that there's you know, there's 153 00:07:37,080 --> 00:07:39,800 Speaker 4: there's two reasons the Fed would cut rates. One is, 154 00:07:40,200 --> 00:07:42,680 Speaker 4: you know, in case of emergency, you see, you know 155 00:07:42,720 --> 00:07:45,560 Speaker 4: something has been broken, you know you're you're heading towards 156 00:07:45,560 --> 00:07:48,200 Speaker 4: a recession. And the other reason is simply when they 157 00:07:48,240 --> 00:07:52,440 Speaker 4: determine that the FED rate adjusted for inflation has just 158 00:07:52,480 --> 00:07:55,400 Speaker 4: gotten restricted because of the fact that they've been winning 159 00:07:55,400 --> 00:07:58,360 Speaker 4: that warworth inflation. So if you see a continuation of 160 00:07:58,360 --> 00:08:01,080 Speaker 4: that Fed cutting cycle, this is actually for the good reason, 161 00:08:01,120 --> 00:08:04,200 Speaker 4: the good news reason for the latter, as far as 162 00:08:04,360 --> 00:08:07,720 Speaker 4: you know, when they cut them, whether it's July, September, October, 163 00:08:07,880 --> 00:08:09,880 Speaker 4: you know, really what investors should focus on is not 164 00:08:09,920 --> 00:08:13,680 Speaker 4: necessarily what the Fed does next, but what they do last, 165 00:08:14,240 --> 00:08:17,400 Speaker 4: insofar as where they ultimates ultimately settle. 166 00:08:17,440 --> 00:08:17,920 Speaker 3: And this is. 167 00:08:17,880 --> 00:08:20,680 Speaker 4: Probably you know, if you're looking for a contrarian view, 168 00:08:20,760 --> 00:08:24,000 Speaker 4: it would be that given the fact that inflation's coming down, 169 00:08:24,080 --> 00:08:27,280 Speaker 4: but just due to deglobalization, it might not go back 170 00:08:27,320 --> 00:08:29,760 Speaker 4: to the you know, entirely to the levels that it's 171 00:08:29,800 --> 00:08:33,120 Speaker 4: been over the last ten fifteen years. And as such, 172 00:08:33,520 --> 00:08:36,080 Speaker 4: you know, when you know, the FED resumes cutting, they 173 00:08:36,160 --> 00:08:38,000 Speaker 4: might not be able to get rates down to that 174 00:08:38,160 --> 00:08:40,840 Speaker 4: year zero level that we've been at which you know, 175 00:08:40,920 --> 00:08:43,520 Speaker 4: if rates are just a little bit higher for longer, 176 00:08:43,800 --> 00:08:45,920 Speaker 4: that really makes a case for investors. Well, how do 177 00:08:46,000 --> 00:08:50,199 Speaker 4: I respond to this? It means go short duration with inequities, 178 00:08:50,240 --> 00:08:53,520 Speaker 4: go for value stocks, and specifically companies that are paying 179 00:08:53,559 --> 00:08:54,679 Speaker 4: and raising dividends. 180 00:08:54,920 --> 00:08:58,760 Speaker 2: Are those the key tenants of your strategy at this point? 181 00:08:59,360 --> 00:09:02,520 Speaker 4: You know, we're we're looking for relative valuation regardless of markets. 182 00:09:02,559 --> 00:09:05,640 Speaker 4: We don't like to try to time markets. We you know, 183 00:09:05,720 --> 00:09:08,880 Speaker 4: we like to stay fully invested at all times within 184 00:09:08,920 --> 00:09:12,400 Speaker 4: the framework diversification. But you know, we've always made the 185 00:09:12,440 --> 00:09:15,559 Speaker 4: case that you know, the some of the best strategies 186 00:09:15,600 --> 00:09:18,680 Speaker 4: through time have been those that have focused on companies 187 00:09:18,679 --> 00:09:22,880 Speaker 4: that are returning capital to shareholder, that are shareholder friendly, 188 00:09:22,960 --> 00:09:25,200 Speaker 4: and that means companies that are either buying back shares 189 00:09:25,400 --> 00:09:26,400 Speaker 4: or paying dividends. 190 00:09:26,600 --> 00:09:30,160 Speaker 2: What about opportunities offshore? Given everything that you're describing, I'm 191 00:09:30,160 --> 00:09:32,720 Speaker 2: wondering whether you find the same thing to be true 192 00:09:32,800 --> 00:09:35,000 Speaker 2: let's say in Asia or in Europe. 193 00:09:35,640 --> 00:09:38,120 Speaker 4: You know, I mean absolutely, I think at this point 194 00:09:38,160 --> 00:09:41,079 Speaker 4: in time, you've you know, I noted ago that you know, 195 00:09:41,080 --> 00:09:42,760 Speaker 4: whereas the S and P five hundreds trade and at 196 00:09:42,800 --> 00:09:45,520 Speaker 4: twenty three times earnings, the stocks in Europe are trading 197 00:09:45,559 --> 00:09:49,040 Speaker 4: at like fourteen times earnings. That valuation gap is as 198 00:09:49,120 --> 00:09:51,760 Speaker 4: wide as it's been in the last you know, ten 199 00:09:51,840 --> 00:09:55,040 Speaker 4: or fifteen years. And you know, again, investors have been 200 00:09:55,040 --> 00:09:57,800 Speaker 4: looking for a catalyst, and you know, that catalyst may 201 00:09:57,800 --> 00:10:00,200 Speaker 4: be the fact that you have overseas and place is 202 00:10:00,240 --> 00:10:04,280 Speaker 4: like Europe, a delayed response to interest rate cuts there 203 00:10:04,600 --> 00:10:07,640 Speaker 4: they have, you know, because inflation has really pulled back 204 00:10:07,640 --> 00:10:10,400 Speaker 4: there and they have been able to resume cutting interest rates. 205 00:10:10,400 --> 00:10:12,920 Speaker 4: You have that, but the policy environment is also looking 206 00:10:12,920 --> 00:10:15,319 Speaker 4: a little bit more favorable on the fiscal side. You're 207 00:10:15,360 --> 00:10:18,400 Speaker 4: starting to see signs of life there, whereas places like 208 00:10:18,440 --> 00:10:21,840 Speaker 4: Germany have basically been removing some of their debt caps 209 00:10:21,880 --> 00:10:25,000 Speaker 4: and starting to focus on infrastructure and defense spending. The 210 00:10:25,000 --> 00:10:27,600 Speaker 4: same goes for France and other countries, and so that 211 00:10:27,679 --> 00:10:30,280 Speaker 4: could be maybe that catalyst to you know, sort of 212 00:10:30,360 --> 00:10:33,160 Speaker 4: kickstart a reversion of the mean in places like Europe. 213 00:10:33,760 --> 00:10:36,000 Speaker 4: And you know, one other place to you know, investors 214 00:10:36,000 --> 00:10:38,520 Speaker 4: to look or at least for diversification purposes, is the 215 00:10:38,520 --> 00:10:41,199 Speaker 4: fact that you noted a few minutes ago the weakening 216 00:10:41,240 --> 00:10:44,880 Speaker 4: of the dollar. Historically speaking, when the dollar weakens, that 217 00:10:45,040 --> 00:10:47,760 Speaker 4: bodes well for emerging markets equities, so it makes a 218 00:10:47,760 --> 00:10:50,000 Speaker 4: great case for getting a little bit of exposure there too. 219 00:10:50,320 --> 00:10:52,280 Speaker 2: Burns will leave it there. Thank you so very much. 220 00:10:52,320 --> 00:10:57,280 Speaker 2: Burns McKinney is managing director also senior portfolio manager at 221 00:10:57,559 --> 00:11:01,559 Speaker 2: NFJ Investment Group. Joining us here on the Daybreak Asia podcast. 222 00:11:08,880 --> 00:11:11,800 Speaker 2: Welcome back to the Daybreak Asia Podcast. I'm Doug Chrisner. 223 00:11:12,200 --> 00:11:16,840 Speaker 2: China's crowded AI landscape is not only fueling rapid innovation, 224 00:11:17,000 --> 00:11:20,320 Speaker 2: but fierce competition as well, and it's that competition that 225 00:11:20,440 --> 00:11:23,520 Speaker 2: seems to be dragging down profits. Let's check in with 226 00:11:23,559 --> 00:11:28,520 Speaker 2: Bloomberg opinion columnist Katherine Thorbek. She covers all things tech 227 00:11:28,640 --> 00:11:32,280 Speaker 2: in Asia, and she joins us from our bureau in Tokyo. Catherine, 228 00:11:32,280 --> 00:11:34,280 Speaker 2: thank you for making time to chat with me about this. 229 00:11:34,679 --> 00:11:37,280 Speaker 2: Give me a sense of perspective on this. How recent 230 00:11:37,400 --> 00:11:41,480 Speaker 2: has this kind of tension between innovation and competition been 231 00:11:41,480 --> 00:11:43,240 Speaker 2: developing in AI in China? 232 00:11:44,040 --> 00:11:46,319 Speaker 1: This is really a story we've seen play out many 233 00:11:46,360 --> 00:11:48,480 Speaker 1: times in the history of China's tech sector. You know, 234 00:11:48,520 --> 00:11:52,280 Speaker 1: competition is notoriously fierce in the world's second largest economy, 235 00:11:52,320 --> 00:11:55,200 Speaker 1: So whenever a new craze emerges there's always just so 236 00:11:55,240 --> 00:11:57,240 Speaker 1: many rivals that sort of come out of the woodwork 237 00:11:57,280 --> 00:12:00,640 Speaker 1: ready to pounce, And for example, we saw this in 238 00:12:00,679 --> 00:12:03,320 Speaker 1: the food delivery market. There's some food delivery wars that 239 00:12:03,360 --> 00:12:05,000 Speaker 1: were going on, and it really became a race to 240 00:12:05,000 --> 00:12:06,760 Speaker 1: the bottom when it comes to pricing. You know, we 241 00:12:06,840 --> 00:12:10,000 Speaker 1: saw bubble t being sold for less than twenty five 242 00:12:10,040 --> 00:12:13,080 Speaker 1: cents last month, and we also SAWT in the electric 243 00:12:13,160 --> 00:12:15,040 Speaker 1: vehicle market, which is sort of left behind a trail 244 00:12:15,040 --> 00:12:18,560 Speaker 1: of zombie cars. And now these sort of same forces 245 00:12:18,559 --> 00:12:21,800 Speaker 1: are really in full swing in the booming artificial intelligence industry, 246 00:12:21,880 --> 00:12:24,680 Speaker 1: and these AI firms have really been focused on this 247 00:12:24,720 --> 00:12:27,120 Speaker 1: sort of classic playbook, which is scaling up their user 248 00:12:27,160 --> 00:12:30,280 Speaker 1: bases and racing for market share, and the result has 249 00:12:30,320 --> 00:12:32,040 Speaker 1: sort of been this rat race. You know, they're at 250 00:12:32,080 --> 00:12:34,880 Speaker 1: each other's throats when it comes to pricing, and it's 251 00:12:34,920 --> 00:12:37,120 Speaker 1: really become a race to the bottom. But I think 252 00:12:37,160 --> 00:12:39,959 Speaker 1: a key difference here is that nobody has actually figured 253 00:12:40,000 --> 00:12:42,560 Speaker 1: out has really cracked the key to getting consumers to 254 00:12:42,600 --> 00:12:45,280 Speaker 1: pay for these services. So it makes the issue of 255 00:12:45,320 --> 00:12:48,839 Speaker 1: monetization or a path to profitability seem a really long 256 00:12:48,880 --> 00:12:52,000 Speaker 1: way off. And this is really unique to China's tech sector. 257 00:12:52,120 --> 00:12:55,640 Speaker 1: You know, in the States, in Silicon Valley, there's sort 258 00:12:55,679 --> 00:12:58,520 Speaker 1: of a smaller number of large players that really dominate 259 00:12:58,559 --> 00:13:01,120 Speaker 1: the market and they really have control over pricing, whereas 260 00:13:01,120 --> 00:13:04,200 Speaker 1: in China, you know, there's just so many smaller players 261 00:13:04,240 --> 00:13:07,040 Speaker 1: and as well as the big tech companies, So competition 262 00:13:07,120 --> 00:13:09,360 Speaker 1: has been really really fierce, and I'm just not sure 263 00:13:09,360 --> 00:13:10,320 Speaker 1: how sustainable it is. 264 00:13:10,400 --> 00:13:12,800 Speaker 2: I'm just wondering. When you talk about big tech companies, 265 00:13:12,840 --> 00:13:15,600 Speaker 2: I think of Ali Baba, and you would expect maybe 266 00:13:15,600 --> 00:13:19,200 Speaker 2: that company or companies like Baba to have some sort 267 00:13:19,200 --> 00:13:20,760 Speaker 2: of advantage. 268 00:13:20,440 --> 00:13:24,000 Speaker 1: That's right. So Ali Baba and Byteedance and Tencent, these 269 00:13:24,000 --> 00:13:26,400 Speaker 1: sort of big tech players, I think they really can 270 00:13:26,480 --> 00:13:28,960 Speaker 1: play the long game and they can sort of sort 271 00:13:28,960 --> 00:13:30,800 Speaker 1: of weather this storm a little bit better than these 272 00:13:30,800 --> 00:13:33,840 Speaker 1: so called little dragons, which are these sort of startups 273 00:13:33,880 --> 00:13:37,080 Speaker 1: that are really driving innovation in China's tech ecosystem. And 274 00:13:37,120 --> 00:13:39,160 Speaker 1: so I think the big tech players are definitely in 275 00:13:39,160 --> 00:13:41,560 Speaker 1: a better position. But I also think that's a little 276 00:13:41,559 --> 00:13:44,120 Speaker 1: bit unfortunate because we really see sort of the biggest 277 00:13:44,120 --> 00:13:47,040 Speaker 1: breakthroughs in AI come from these smaller startups, which I 278 00:13:47,040 --> 00:13:48,000 Speaker 1: think are at higher risk. 279 00:13:48,040 --> 00:13:50,520 Speaker 2: Here does the government have a view on what's happening, 280 00:13:50,559 --> 00:13:51,720 Speaker 2: do you think so. 281 00:13:51,920 --> 00:13:54,439 Speaker 1: I think post deep Seek, there's just been a lot 282 00:13:54,480 --> 00:13:56,840 Speaker 1: of exuberance. There's been a lot of top down support 283 00:13:57,280 --> 00:13:59,800 Speaker 1: for the AI sector, and so it's sort of driving 284 00:13:59,840 --> 00:14:02,440 Speaker 1: the and in some ways it's a double edged sword, 285 00:14:02,480 --> 00:14:05,200 Speaker 1: you know, because there's so much excitement for AI and 286 00:14:05,240 --> 00:14:07,480 Speaker 1: so much top down support, it has really been driving 287 00:14:07,480 --> 00:14:11,240 Speaker 1: widespread adoption of AI services and AI tools throughout China, 288 00:14:11,280 --> 00:14:13,840 Speaker 1: which the government wants. But I think it definitely puts 289 00:14:13,880 --> 00:14:16,360 Speaker 1: these companies in a crunch when it comes to sort 290 00:14:16,360 --> 00:14:17,640 Speaker 1: of figuring out how to make money. 291 00:14:17,880 --> 00:14:20,600 Speaker 2: So when you talk about adoption, is it primarily on 292 00:14:20,640 --> 00:14:24,520 Speaker 2: the part of consumers using more AI related devices or 293 00:14:24,600 --> 00:14:26,040 Speaker 2: is it in industry as well? 294 00:14:26,440 --> 00:14:29,680 Speaker 1: That's right, So I think consumers definitely demand for AI 295 00:14:29,720 --> 00:14:32,480 Speaker 1: services and tools is red hot. You know, we see 296 00:14:32,520 --> 00:14:35,840 Speaker 1: so many chatbots, so many people using deep seak across 297 00:14:35,880 --> 00:14:38,880 Speaker 1: you know, local governments and across even hospitals. So I 298 00:14:38,880 --> 00:14:41,320 Speaker 1: think the adoption has been widespread. And the way I 299 00:14:41,360 --> 00:14:42,800 Speaker 1: kind of look at it when we talk about the 300 00:14:42,880 --> 00:14:45,600 Speaker 1: sort of top down support was you know, I'm not 301 00:14:45,600 --> 00:14:47,880 Speaker 1: going to remember which US president it was, but there 302 00:14:47,920 --> 00:14:50,040 Speaker 1: was a President that put electricity in the White House 303 00:14:50,080 --> 00:14:52,600 Speaker 1: to sort of signal that you know, this technology is 304 00:14:52,600 --> 00:14:54,840 Speaker 1: safe and we can, you know, rapidly adopt it. And 305 00:14:54,880 --> 00:14:56,160 Speaker 1: I think there have been a lot of top down 306 00:14:56,240 --> 00:14:59,240 Speaker 1: signals coming from Beijing and coming from Hijinping about how 307 00:14:59,360 --> 00:15:01,640 Speaker 1: AI is, you know, the future, and we shouldn't be 308 00:15:01,640 --> 00:15:03,440 Speaker 1: afraid of it. And I think we've really seen that 309 00:15:03,480 --> 00:15:06,000 Speaker 1: play out when it comes to consumers really sort of 310 00:15:06,040 --> 00:15:08,320 Speaker 1: embracing this technology and not being afraid of it and 311 00:15:08,400 --> 00:15:09,680 Speaker 1: sort of rushing to adopt it. 312 00:15:09,920 --> 00:15:12,120 Speaker 2: One of the big questions in the States as it 313 00:15:12,160 --> 00:15:15,760 Speaker 2: relates to the investments being made in artificial intelligence, is 314 00:15:15,800 --> 00:15:19,800 Speaker 2: the ROI the return on those investments. Do we have 315 00:15:19,880 --> 00:15:23,560 Speaker 2: any visibility into whether or not this is having kind 316 00:15:23,600 --> 00:15:25,920 Speaker 2: of a similar conundrum in China right now. 317 00:15:26,360 --> 00:15:28,880 Speaker 1: Right so, I really think that's sort of the biggest 318 00:15:28,880 --> 00:15:32,239 Speaker 1: existential threat hanging over sort of the entire AI ecosystem 319 00:15:32,240 --> 00:15:34,680 Speaker 1: in China is that there really is not a clear 320 00:15:34,760 --> 00:15:38,080 Speaker 1: path to profitability, and there's not even a clear path 321 00:15:38,120 --> 00:15:41,119 Speaker 1: to sort of monetization and making money off of consumers. 322 00:15:41,480 --> 00:15:44,240 Speaker 1: You know, so many of these chatbots are being offered 323 00:15:44,280 --> 00:15:46,600 Speaker 1: for free, and because you know, competitors are offering them 324 00:15:46,600 --> 00:15:50,000 Speaker 1: for free. Basically peer pressures all of the companies to 325 00:15:50,040 --> 00:15:53,800 Speaker 1: do the same. And I think there's one statistic that 326 00:15:54,280 --> 00:15:58,240 Speaker 1: our Bloomberg Intelligence colleagues wrote, which was that I think 327 00:15:58,320 --> 00:16:01,280 Speaker 1: all of the top ten AI chat bomds at China 328 00:16:01,360 --> 00:16:05,040 Speaker 1: generated just one million dollars in revenue from Apple's iOS 329 00:16:05,080 --> 00:16:08,600 Speaker 1: app store in twelve months, And during that same time period, 330 00:16:08,600 --> 00:16:11,520 Speaker 1: Open AI's chat ebt garnered six hundred and sixty nine 331 00:16:11,520 --> 00:16:14,440 Speaker 1: million dollars in iOS revenue. So that's quite a big difference. 332 00:16:14,480 --> 00:16:17,680 Speaker 1: And that's just one chatbot compared to ten of China's. 333 00:16:18,000 --> 00:16:20,440 Speaker 2: So what do we know about the rate of failure here? 334 00:16:20,520 --> 00:16:23,040 Speaker 2: I mean, do we have enough data to begin to 335 00:16:23,640 --> 00:16:24,680 Speaker 2: kind of quantify that? 336 00:16:25,360 --> 00:16:27,840 Speaker 1: So I think it's too soon to tell. Like I said, 337 00:16:27,880 --> 00:16:30,080 Speaker 1: there's you know, this top down support, and there's just 338 00:16:30,160 --> 00:16:32,560 Speaker 1: this insatiable hype, especially in the wake of Deep Seek, 339 00:16:32,600 --> 00:16:34,520 Speaker 1: and I think for now that's been a really strong 340 00:16:34,560 --> 00:16:37,880 Speaker 1: propellant of the AI sector. You know, A former government 341 00:16:37,880 --> 00:16:40,040 Speaker 1: official in China last week said that the nation is 342 00:16:40,040 --> 00:16:42,040 Speaker 1: on the cusp of generating more than one hundred Deep 343 00:16:42,040 --> 00:16:44,560 Speaker 1: Seek like breakthroughs. But I think you know, if you 344 00:16:44,600 --> 00:16:46,320 Speaker 1: look at more than one hundred deep seeks, you know, 345 00:16:46,360 --> 00:16:49,280 Speaker 1: what does that actually mean? That means such fierce competition, 346 00:16:49,800 --> 00:16:51,240 Speaker 1: And so I think in the long run we may 347 00:16:51,280 --> 00:16:53,960 Speaker 1: see at least one hundred you know, zombie AI tools 348 00:16:54,000 --> 00:16:57,160 Speaker 1: or zombie AI agents. But I think, you know, that's 349 00:16:57,200 --> 00:16:59,120 Speaker 1: still a long way off. And for now, you know, 350 00:16:59,160 --> 00:17:02,840 Speaker 1: this hype is really driving a lot of exuberance. But 351 00:17:03,200 --> 00:17:04,480 Speaker 1: we'll have to see how it plays out. 352 00:17:04,560 --> 00:17:07,359 Speaker 2: And I'm wondering about the workers that are involved in 353 00:17:07,400 --> 00:17:11,560 Speaker 2: these companies, the programmers, the software engineers. I would imagine 354 00:17:11,560 --> 00:17:14,560 Speaker 2: that it's a very good sign for them. The question 355 00:17:14,640 --> 00:17:15,800 Speaker 2: is whether it continues. 356 00:17:16,640 --> 00:17:18,919 Speaker 1: Yes, we will definitely have to see. You know, I 357 00:17:18,960 --> 00:17:23,240 Speaker 1: think the AI exuberance has just been especially after Deep Seak, 358 00:17:23,280 --> 00:17:27,040 Speaker 1: has just been absolute pandemonium in China, and so we'll 359 00:17:27,040 --> 00:17:29,560 Speaker 1: have to see how it eventually plays out. But yes, 360 00:17:29,840 --> 00:17:30,680 Speaker 1: a lot of excitement. 361 00:17:30,760 --> 00:17:32,440 Speaker 2: What is the next thing that you're going to be 362 00:17:32,840 --> 00:17:36,159 Speaker 2: watching for in trying to understand this story more deeply? 363 00:17:37,000 --> 00:17:39,760 Speaker 1: So I think eventually it's inevitable that there's going to 364 00:17:39,800 --> 00:17:42,040 Speaker 1: be some kind of cooling down, whether that's sort of 365 00:17:42,080 --> 00:17:45,080 Speaker 1: a consolidation on the horizon. But like I said, I 366 00:17:45,080 --> 00:17:48,119 Speaker 1: don't think that's coming anytime soon, because, you know, because 367 00:17:48,119 --> 00:17:50,359 Speaker 1: of all this excitement, because of all this top down support, 368 00:17:50,359 --> 00:17:52,080 Speaker 1: I think that this frenzy still has a little bit 369 00:17:52,080 --> 00:17:55,080 Speaker 1: of room to run. But I think the big question is, really, 370 00:17:55,119 --> 00:17:57,879 Speaker 1: how can any of these companies find a way to 371 00:17:57,920 --> 00:18:01,080 Speaker 1: monetize if nobody's actually willing to pay for these services? 372 00:18:01,119 --> 00:18:04,240 Speaker 1: You know, Chinese consumers historically have just not liked paying 373 00:18:04,280 --> 00:18:07,040 Speaker 1: for software services they're sort of intangible, and they've also 374 00:18:07,160 --> 00:18:10,280 Speaker 1: refused subscription models, which are sort of the two sort 375 00:18:10,280 --> 00:18:13,119 Speaker 1: of revenue streams that have taken hold in the US. 376 00:18:13,560 --> 00:18:16,160 Speaker 1: So without those, we'll have to see how how any 377 00:18:16,160 --> 00:18:17,880 Speaker 1: of them, whether they could come up with a killer 378 00:18:17,880 --> 00:18:20,920 Speaker 1: app that people are willing to pay for, or whether 379 00:18:20,960 --> 00:18:23,960 Speaker 1: you know, enterprises decide it's worth you know, shelling out 380 00:18:23,960 --> 00:18:27,080 Speaker 1: for AI services. But for now, it's the market is 381 00:18:27,119 --> 00:18:31,159 Speaker 1: pretty much dominated by free to use services, so I 382 00:18:31,520 --> 00:18:33,159 Speaker 1: question how sustainable that is. 383 00:18:33,320 --> 00:18:36,280 Speaker 2: We know the tension that exists, particularly in the realm 384 00:18:36,280 --> 00:18:39,879 Speaker 2: of technology between the US and China, and the limitations 385 00:18:39,880 --> 00:18:42,080 Speaker 2: that are inherently a part of that story, but I'm 386 00:18:42,119 --> 00:18:46,879 Speaker 2: wondering about the adoption of AI related products created by China. 387 00:18:47,000 --> 00:18:52,200 Speaker 2: Maybe being employed by or in other jurisdictions across parts. 388 00:18:51,920 --> 00:18:55,320 Speaker 1: Of Asia, right, So I think that there was hope that, 389 00:18:55,560 --> 00:18:57,840 Speaker 1: you know, if Chinese consumers aren't willing to pay, and 390 00:18:57,840 --> 00:19:00,119 Speaker 1: if the market at home is so hyper competitive, of 391 00:19:00,160 --> 00:19:03,439 Speaker 1: maybe these firms can start looking abroad for growth. But 392 00:19:03,520 --> 00:19:06,000 Speaker 1: I think that's really an uphill battle. You know, we've 393 00:19:06,040 --> 00:19:11,119 Speaker 1: already seen jurisdictions around the world, whether that's Italy Taiwan, 394 00:19:11,840 --> 00:19:14,240 Speaker 1: start to crack down on deep seek and restrict use 395 00:19:14,359 --> 00:19:17,840 Speaker 1: just because of all those sort of geopolitical tensions. So 396 00:19:17,880 --> 00:19:22,040 Speaker 1: I think going abroad would definitely be there's definitely hope 397 00:19:22,040 --> 00:19:24,760 Speaker 1: that that's like a market overseas markets or where some 398 00:19:24,800 --> 00:19:26,600 Speaker 1: of the growth is. But I think it's going to 399 00:19:26,600 --> 00:19:29,080 Speaker 1: be very, very difficult for these Chinese AI firms to 400 00:19:29,119 --> 00:19:30,880 Speaker 1: sort of distance themselves from Beijing. 401 00:19:31,200 --> 00:19:33,520 Speaker 2: We'll leave it there. Catherine, always a pleasure. Thank you 402 00:19:33,560 --> 00:19:37,600 Speaker 2: so very much, Bloomberg Opinion columnist Katherine Thorbeck. She covers 403 00:19:37,640 --> 00:19:41,520 Speaker 2: all things Asia tech from our bureau in Tokyo, talking 404 00:19:41,520 --> 00:19:46,639 Speaker 2: here on the Daybreak Asia podcast. Thanks for listening to 405 00:19:46,760 --> 00:19:51,760 Speaker 2: today's episode of the Bloomberg Daybreak Asia Edition podcast. Each weekday, 406 00:19:51,800 --> 00:19:55,720 Speaker 2: we look at the story shaping markets, finance, and geopolitics 407 00:19:55,720 --> 00:19:59,000 Speaker 2: in the Asia Pacific. You can find us on Apple, Spotify, 408 00:19:59,119 --> 00:20:02,639 Speaker 2: the Bloomberg Podcast, Fast YouTube channel, or anywhere else you listen. 409 00:20:03,040 --> 00:20:05,960 Speaker 2: Join us again tomorrow for insight on the market moves 410 00:20:06,000 --> 00:20:10,560 Speaker 2: from Hong Kong to Singapore and Australia. I'm Doug Prisoner 411 00:20:10,720 --> 00:20:12,119 Speaker 2: and this is Bloomberg