1 00:00:02,520 --> 00:00:06,519 Speaker 1: Bloomberg Audio Studios, podcasts, radio. 2 00:00:06,720 --> 00:00:09,719 Speaker 2: News, the tech run up that we've seen in terms 3 00:00:09,720 --> 00:00:13,119 Speaker 2: of stocks, and this of course after the FED and 4 00:00:13,240 --> 00:00:15,520 Speaker 2: its first rate cut of the year last week, and 5 00:00:15,520 --> 00:00:17,919 Speaker 2: the inflation data that we get out on Friday. Joining 6 00:00:18,000 --> 00:00:21,200 Speaker 2: us now is CEO and founder of ARC invest Kathy Would. 7 00:00:21,200 --> 00:00:24,520 Speaker 2: Good morning, Kathy, So you've hot footed it from our 8 00:00:24,560 --> 00:00:27,560 Speaker 2: TV studio into the REJO studio. We really appreciate your 9 00:00:27,600 --> 00:00:30,160 Speaker 2: time and we want to start on the H one 10 00:00:30,320 --> 00:00:33,440 Speaker 2: B visa change with President Donald Trump. It seems that 11 00:00:33,479 --> 00:00:37,519 Speaker 2: he has sided with magas anti immigration wing rather than 12 00:00:37,560 --> 00:00:40,240 Speaker 2: the tech executives that we saw him dining with only 13 00:00:40,280 --> 00:00:42,800 Speaker 2: a few weeks ago. How much of a concern is 14 00:00:42,840 --> 00:00:46,199 Speaker 2: it to you in terms of limiting those high skill 15 00:00:46,840 --> 00:00:49,360 Speaker 2: tech employees tech workers for some of the big names 16 00:00:49,400 --> 00:00:50,239 Speaker 2: that you invested in. 17 00:00:50,840 --> 00:00:53,800 Speaker 1: Yes, well, I think this is part of a much 18 00:00:53,840 --> 00:00:59,560 Speaker 1: broader negotiation, particularly with India. In mind, those negotiations have 19 00:00:59,680 --> 00:01:04,600 Speaker 1: not finished, and of course this is very important to India. 20 00:01:05,680 --> 00:01:10,280 Speaker 1: I think that our tech executives understand that this is 21 00:01:10,400 --> 00:01:15,040 Speaker 1: a part of a broader negotiation. I think the suddenness 22 00:01:15,200 --> 00:01:19,080 Speaker 1: the Friday announcement and the lack of clarity through a 23 00:01:19,080 --> 00:01:22,480 Speaker 1: lot of people, including US. The clarity now is this 24 00:01:22,560 --> 00:01:28,000 Speaker 1: applies only to new H one B visas, So I 25 00:01:28,040 --> 00:01:33,240 Speaker 1: think longer term, this administration has said that it is 26 00:01:33,480 --> 00:01:38,840 Speaker 1: very interested in bringing foreigners who have been educated in 27 00:01:38,920 --> 00:01:45,039 Speaker 1: the US into the US workforce, and I think longer term, 28 00:01:45,360 --> 00:01:47,520 Speaker 1: that's that's the way we should think about that. 29 00:01:47,680 --> 00:01:50,520 Speaker 2: So you see a change coming. This is punishment for India, 30 00:01:50,600 --> 00:01:52,919 Speaker 2: and the impacts on the US is a side effect 31 00:01:52,960 --> 00:01:53,840 Speaker 2: that will change. 32 00:01:53,920 --> 00:01:59,240 Speaker 1: It's a negotiation negotiation with India. Longer term. I think 33 00:01:59,560 --> 00:02:02,560 Speaker 1: President Trump and his team want to keep as much 34 00:02:03,160 --> 00:02:07,720 Speaker 1: innovation talent, technology talent as possible in the US. 35 00:02:10,200 --> 00:02:12,760 Speaker 3: Can I just ask you long term though, given the 36 00:02:12,800 --> 00:02:16,240 Speaker 3: Trump administration wants to keep as much talent, you also 37 00:02:16,360 --> 00:02:19,600 Speaker 3: have other countries raising the possibility of their own form 38 00:02:19,639 --> 00:02:22,760 Speaker 3: of golden visas, perhaps seeing this as an opportunity to 39 00:02:22,840 --> 00:02:25,520 Speaker 3: attract the same high skilled talent to their own countries. 40 00:02:25,560 --> 00:02:29,480 Speaker 3: Could there be longer term ramifications if this H one 41 00:02:29,880 --> 00:02:33,560 Speaker 3: B visa application fee does actually stay the higher fee. 42 00:02:33,919 --> 00:02:38,200 Speaker 1: Sure, I think this is I call this regulatory arbitrage. 43 00:02:38,280 --> 00:02:42,600 Speaker 1: Other companies countries should be looking at this as an 44 00:02:42,639 --> 00:02:46,880 Speaker 1: opportunity to attract the best and the brightest. As I said, 45 00:02:46,880 --> 00:02:49,920 Speaker 1: I don't think this is long term for the United States, 46 00:02:50,000 --> 00:02:52,079 Speaker 1: but sees the moment. 47 00:02:53,200 --> 00:02:57,120 Speaker 2: Okay, that's interesting that this is Yeah, Jermanica ahead, So yeah. 48 00:02:56,960 --> 00:02:59,320 Speaker 3: No, no, I just wanted to pivot back to macro. 49 00:03:00,440 --> 00:03:03,960 Speaker 3: You know, earlier this year, you mentioned in one of 50 00:03:03,960 --> 00:03:06,400 Speaker 3: an interviews that you conducted that the US had just 51 00:03:06,440 --> 00:03:09,160 Speaker 3: started to exit a rolling recession that started back in 52 00:03:09,200 --> 00:03:11,040 Speaker 3: twenty twenty two and was on the path to recovery. 53 00:03:11,040 --> 00:03:13,040 Speaker 3: And of course the FED then went on to cut 54 00:03:13,040 --> 00:03:16,120 Speaker 3: interest rates only last week. In your opinion, were the 55 00:03:16,160 --> 00:03:18,280 Speaker 3: Fed too late to cut interest rates? 56 00:03:19,840 --> 00:03:22,400 Speaker 1: I think there have been signals that the Fed should 57 00:03:22,440 --> 00:03:26,480 Speaker 1: cut interest rates for some time, but there's something else brewing. 58 00:03:27,240 --> 00:03:32,440 Speaker 1: So this rolling recession, we think, is evolving into a 59 00:03:32,680 --> 00:03:37,120 Speaker 1: rolling recovery, and you'll see weakness in employment. A lot 60 00:03:37,120 --> 00:03:42,560 Speaker 1: of that is about productivity. Companies are harnessing AI tools 61 00:03:43,120 --> 00:03:48,560 Speaker 1: and substituting capital for labor, and I think a lot 62 00:03:48,600 --> 00:03:52,400 Speaker 1: of people are going to think that this is another 63 00:03:52,480 --> 00:03:55,720 Speaker 1: sign that we're heading into a deep recession. We do 64 00:03:55,800 --> 00:04:02,000 Speaker 1: not think that's the case. We think that deregulation lower taxes. 65 00:04:02,560 --> 00:04:05,040 Speaker 1: I don't think people understand in the United States. What 66 00:04:05,160 --> 00:04:08,880 Speaker 1: has just happened to corporate tax rates? The rate itself 67 00:04:08,920 --> 00:04:11,960 Speaker 1: has stayed at twenty one percent, but when we incorporate 68 00:04:12,080 --> 00:04:17,640 Speaker 1: accelerated depreciation on structures, equipment, domestic R and D software, 69 00:04:18,200 --> 00:04:21,880 Speaker 1: the effective corporate tax rate in the US could be 70 00:04:22,200 --> 00:04:26,039 Speaker 1: now as low as ten percent. So I hear a 71 00:04:26,080 --> 00:04:30,160 Speaker 1: lot of talk about the dollar's demise and so forth. 72 00:04:30,360 --> 00:04:34,560 Speaker 1: We actually think that the dollar will turn around because 73 00:04:34,560 --> 00:04:38,440 Speaker 1: the return on invested capital in the US, thanks to 74 00:04:38,560 --> 00:04:44,599 Speaker 1: deregulation and tax policies, is going to increase relative to 75 00:04:45,080 --> 00:04:49,400 Speaker 1: the return on invested capital elsewhere. So a little contrarian 76 00:04:49,480 --> 00:04:52,520 Speaker 1: point of view, but that's what we think. And we 77 00:04:52,680 --> 00:04:57,599 Speaker 1: also think this rolling recovery will lead next year into 78 00:04:58,800 --> 00:05:04,320 Speaker 1: an economic boom, a productivity driven economic boom. And I 79 00:05:04,320 --> 00:05:07,000 Speaker 1: think this has been engineered by this administration. Get the 80 00:05:07,040 --> 00:05:09,200 Speaker 1: bad news out of the way as quickly as possible 81 00:05:09,440 --> 00:05:12,160 Speaker 1: because next year is the midterm elections. 82 00:05:12,279 --> 00:05:16,760 Speaker 2: So it's a tax cutting environment, deregulator environment, AI environment 83 00:05:16,760 --> 00:05:20,000 Speaker 2: that boost productivity. And so I mean, this is very 84 00:05:20,080 --> 00:05:24,599 Speaker 2: much what President Trump and the Republican administration believes. Others 85 00:05:24,640 --> 00:05:30,280 Speaker 2: are concerned about it triggering inflation. Are you not concerned 86 00:05:30,320 --> 00:05:31,400 Speaker 2: about that issue. 87 00:05:31,960 --> 00:05:36,760 Speaker 1: If productivity is the reason we're going to see accelerated growth, 88 00:05:36,960 --> 00:05:40,120 Speaker 1: not at all. In fact, productivity is one of the 89 00:05:40,160 --> 00:05:45,640 Speaker 1: most potent anti inflationary forces. We would not be surprised 90 00:05:45,680 --> 00:05:50,000 Speaker 1: to see inflation drop below two percent next year and 91 00:05:50,160 --> 00:05:54,000 Speaker 1: head for zero because we think the productivity gains are 92 00:05:54,120 --> 00:05:55,000 Speaker 1: that profound. 93 00:05:56,480 --> 00:05:59,280 Speaker 3: Let me ask you about the huge kapek spending plans 94 00:05:59,320 --> 00:06:02,600 Speaker 3: that many of the US hyperscalers have. You know, we're 95 00:06:02,600 --> 00:06:04,760 Speaker 3: talking about the hundreds of billions of dollars a year, 96 00:06:05,240 --> 00:06:08,320 Speaker 3: and one company's investment is another company's revenue, as in 97 00:06:08,320 --> 00:06:11,800 Speaker 3: the case of Nvidia. If there starts to be a 98 00:06:11,960 --> 00:06:16,280 Speaker 3: marginal slowdown in just this scale of CAPEX investment, would 99 00:06:16,279 --> 00:06:18,640 Speaker 3: that not mark a turnarounds in terms of just how 100 00:06:18,720 --> 00:06:22,080 Speaker 3: much bullishness there is about the promises of artificial intelligence 101 00:06:22,160 --> 00:06:22,520 Speaker 3: right now? 102 00:06:23,360 --> 00:06:28,600 Speaker 1: Well, I'm I like everyone else are, I'm very surprised 103 00:06:28,600 --> 00:06:36,159 Speaker 1: at how willing these companies are to spend massive amounts 104 00:06:37,400 --> 00:06:41,760 Speaker 1: in this space. But what we're not seeing is all 105 00:06:41,839 --> 00:06:45,400 Speaker 1: the companies who were starting to move into this space 106 00:06:46,040 --> 00:06:50,080 Speaker 1: and have capitulated, and we're down to the big four, 107 00:06:50,920 --> 00:06:56,919 Speaker 1: so Open AI and Thropic XAI and Gemini, which is Google, 108 00:06:57,880 --> 00:07:01,320 Speaker 1: and I think they are moving further ahead. Those are 109 00:07:01,360 --> 00:07:05,279 Speaker 1: the companies who are really spending the markets, are not 110 00:07:05,560 --> 00:07:11,040 Speaker 1: funding as freely the other competitors. I know here in 111 00:07:11,680 --> 00:07:14,560 Speaker 1: Europe that there are a few, so there will be 112 00:07:15,200 --> 00:07:19,760 Speaker 1: regional specific large language models as well, But in terms 113 00:07:19,760 --> 00:07:23,920 Speaker 1: of the global large language models, I think we're down 114 00:07:23,960 --> 00:07:26,880 Speaker 1: to the big four and they are duking it out. 115 00:07:27,040 --> 00:07:31,320 Speaker 1: That's why we're hearing so much about these capital spending plans. 116 00:07:31,320 --> 00:07:34,520 Speaker 1: They're really talking to one another, you know, and willing 117 00:07:34,560 --> 00:07:39,680 Speaker 1: to throw as much capital as possible to leapfrog one another. 118 00:07:40,000 --> 00:07:44,480 Speaker 1: But if you'll notice the performance characteristics of these lms, 119 00:07:45,280 --> 00:07:49,920 Speaker 1: while open ai is still ahead on at the margin, 120 00:07:50,720 --> 00:07:53,960 Speaker 1: the others are getting closer. And one we haven't talked 121 00:07:53,960 --> 00:07:57,840 Speaker 1: about is meta platform. They are, as you know, Mark 122 00:07:57,920 --> 00:08:02,960 Speaker 1: Zuckerboardberg is acqua hiring out of these companies that are 123 00:08:03,000 --> 00:08:05,880 Speaker 1: not going to make it right. So he is attracting 124 00:08:05,920 --> 00:08:09,800 Speaker 1: a lot of capital and is probably going to try 125 00:08:09,840 --> 00:08:14,000 Speaker 1: and get back in the game with his open source strategy. 126 00:08:14,960 --> 00:08:17,520 Speaker 2: What are the opportunities in China? Then, Thus the other 127 00:08:17,560 --> 00:08:20,400 Speaker 2: big stories around deep sea and the huge focus that 128 00:08:20,520 --> 00:08:23,600 Speaker 2: China has on so much of the new technological world, 129 00:08:23,640 --> 00:08:26,800 Speaker 2: but AI in particular, Deep Seek and others. Yes. 130 00:08:26,880 --> 00:08:31,880 Speaker 1: I think President Chichiping directed the economy a couple of 131 00:08:31,960 --> 00:08:37,000 Speaker 1: years ago to new productive forces, and that's all about 132 00:08:37,040 --> 00:08:45,160 Speaker 1: technology and competing aggressively in the technology arena. And we 133 00:08:45,240 --> 00:08:48,720 Speaker 1: think competition is a great thing as long as it's rational. 134 00:08:49,320 --> 00:08:55,600 Speaker 1: And on that score, President gi Giping's discussion about our 135 00:08:55,679 --> 00:09:00,240 Speaker 1: recent pronouncement and his team's pronouncement that they want to 136 00:09:00,280 --> 00:09:07,000 Speaker 1: move away from involution, which means massive commoditization in areas 137 00:09:07,080 --> 00:09:10,040 Speaker 1: like electric vehicles, that is very positive. So is he 138 00:09:10,200 --> 00:09:14,680 Speaker 1: starting to focus on profitability because these companies have to 139 00:09:14,720 --> 00:09:17,560 Speaker 1: spend so much. I think so, and that's a good thing. 140 00:09:18,160 --> 00:09:20,319 Speaker 2: Kathy, thank you so much for being with us. Really 141 00:09:20,320 --> 00:09:22,560 Speaker 2: great to speak to you and hear your views on 142 00:09:22,600 --> 00:09:25,960 Speaker 2: the H one B visa story as well as technological 143 00:09:26,000 --> 00:09:29,240 Speaker 2: advances in China. Kathy Wood is CEO and founder of 144 00:09:29,440 --> 00:09:31,680 Speaker 2: ARC invest. This is going back