1 00:00:02,520 --> 00:00:15,240 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. A single best idea. 2 00:00:15,400 --> 00:00:19,520 Speaker 1: It was a terrific Monday. Monday in July. You know, 3 00:00:19,680 --> 00:00:23,200 Speaker 1: you're really not focused like you got to get you 4 00:00:23,239 --> 00:00:25,720 Speaker 1: got to get the Tuesday, to get the week started. 5 00:00:26,120 --> 00:00:29,840 Speaker 1: Our team put together a great set of conversations to 6 00:00:29,880 --> 00:00:32,400 Speaker 1: get you to your Tuesday so you can get your 7 00:00:32,400 --> 00:00:35,760 Speaker 1: week started. Real high point. Elaine Ray joined us. She's 8 00:00:35,800 --> 00:00:39,640 Speaker 1: a giant in European economics. Was a really good and 9 00:00:39,720 --> 00:00:43,279 Speaker 1: thoughtful discussion on what she thinks Europe needs to do 10 00:00:43,440 --> 00:00:47,559 Speaker 1: to get their act together. It was very academic, very highbrow, 11 00:00:47,600 --> 00:00:50,000 Speaker 1: but that was wonderful. And then we had the lowbrow 12 00:00:50,040 --> 00:00:53,040 Speaker 1: as well. Isabelle Lee of Bloomberg News with a breaking 13 00:00:53,080 --> 00:00:56,960 Speaker 1: story the Compendium of Crypto at one hundred and eighteen 14 00:00:57,000 --> 00:01:00,160 Speaker 1: thousand bitcoin rather at one hundred and eighteen thousand and 15 00:01:00,280 --> 00:01:05,040 Speaker 1: whither from here. Wrapped around that was equities, bonds, currencies 16 00:01:05,360 --> 00:01:09,800 Speaker 1: and commodities and special guests in from Hong Kong. I 17 00:01:09,840 --> 00:01:13,120 Speaker 1: love saying this. With the Hong Kong and Shanghai Banking 18 00:01:13,200 --> 00:01:19,319 Speaker 1: Corporation HSBC, is there giant on semiconductor analysis. Here is 19 00:01:19,520 --> 00:01:21,559 Speaker 1: Frank Lee of HSBC. 20 00:01:21,800 --> 00:01:24,039 Speaker 2: I think it is an issue that people talk about, 21 00:01:24,040 --> 00:01:27,640 Speaker 2: but we haven't really seen that really materialize yet. I 22 00:01:27,680 --> 00:01:31,240 Speaker 2: do think the infrastructure build will continue. I think everybody 23 00:01:31,240 --> 00:01:34,680 Speaker 2: recognizes the importance of AI right now and why it's 24 00:01:34,680 --> 00:01:36,679 Speaker 2: so important to invest it in. You know, for example, 25 00:01:36,720 --> 00:01:39,840 Speaker 2: if you look at sovereign AI right now in the 26 00:01:39,880 --> 00:01:43,400 Speaker 2: announcements earlier in the year about you know, Saudi Arabia 27 00:01:43,400 --> 00:01:46,319 Speaker 2: canna invest this huge amount of desness. But there's also 28 00:01:46,319 --> 00:01:48,520 Speaker 2: the question are they ready yet, right because they need 29 00:01:48,560 --> 00:01:50,720 Speaker 2: to build the infrastructure in terms of the energy. But 30 00:01:50,760 --> 00:01:52,440 Speaker 2: I think it will eventually. I think we'll go hand 31 00:01:52,440 --> 00:01:52,800 Speaker 2: in hand. 32 00:01:53,120 --> 00:01:56,160 Speaker 1: Really really interesting and particularly Frank then the Pacific rim 33 00:01:56,240 --> 00:02:00,280 Speaker 1: on Taiwan and then over to mainland China as well. 34 00:02:00,360 --> 00:02:04,400 Speaker 1: Just absolutely fascinating. And again we protect the copyright of 35 00:02:04,480 --> 00:02:08,680 Speaker 1: our guests. His reports are jaw dropping in their complexity. 36 00:02:09,240 --> 00:02:12,320 Speaker 1: I threaten to actually read one and try to get 37 00:02:12,360 --> 00:02:15,600 Speaker 1: through it. On AI and almost on the physics and 38 00:02:16,360 --> 00:02:22,360 Speaker 1: computation wrapped around artificial intelligence, there's no physics with Lori Calvsina. 39 00:02:22,560 --> 00:02:25,240 Speaker 1: It's about studying the mood of the equity market with 40 00:02:25,520 --> 00:02:27,239 Speaker 1: RBC Capital Markets. 41 00:02:27,520 --> 00:02:29,960 Speaker 3: Lori Calvisina, Well, what I'll tell you I'm seeing in 42 00:02:30,000 --> 00:02:31,880 Speaker 3: my Decktom and Tom, you and I've known each other 43 00:02:31,919 --> 00:02:34,240 Speaker 3: a long time. I am sort of like anti theme, 44 00:02:34,360 --> 00:02:37,040 Speaker 3: anti fad, like I am never, you know, sort of 45 00:02:37,120 --> 00:02:39,480 Speaker 3: drinking the kool aid on the next hot thing. But 46 00:02:39,600 --> 00:02:41,960 Speaker 3: I've been calmed down a little bit on this AI 47 00:02:42,080 --> 00:02:44,840 Speaker 3: theme because when I look at the top ten megacap 48 00:02:44,919 --> 00:02:46,480 Speaker 3: names in the S and P five hundred, which are 49 00:02:46,520 --> 00:02:49,640 Speaker 3: largely AI plays, and I do a median pe of 50 00:02:49,639 --> 00:02:52,480 Speaker 3: those companies, and I compare it to the long term 51 00:02:52,520 --> 00:02:55,440 Speaker 3: growth expectations, and I take those two things right, and 52 00:02:55,480 --> 00:02:58,640 Speaker 3: I look at MAG seven versus rest of the S 53 00:02:58,720 --> 00:03:02,120 Speaker 3: and P rel pe line is the same line as 54 00:03:02,120 --> 00:03:04,799 Speaker 3: the relative long term earnings growth line, So they're getting 55 00:03:04,800 --> 00:03:08,560 Speaker 3: different multiples, but it's based on the differing perceptions of 56 00:03:08,560 --> 00:03:11,240 Speaker 3: what the long term earnings growth rates are. And that's 57 00:03:11,280 --> 00:03:13,799 Speaker 3: been very similar to what we tend to see over time. 58 00:03:13,800 --> 00:03:15,880 Speaker 3: I think there was a breakdown in that relationship around 59 00:03:15,880 --> 00:03:19,000 Speaker 3: the GFC briefly, but this is even how stocks behaved 60 00:03:19,040 --> 00:03:21,960 Speaker 3: back in the nineties and early two thousands. So I 61 00:03:22,000 --> 00:03:24,680 Speaker 3: think you've really got to tackle those long term earnings 62 00:03:24,680 --> 00:03:27,680 Speaker 3: growth expectations, and you've either got to just like Bang 63 00:03:27,840 --> 00:03:30,560 Speaker 3: down the mag seven trade and say their numbers are 64 00:03:30,600 --> 00:03:32,359 Speaker 3: way too optimistic, or you've got to look at the 65 00:03:32,400 --> 00:03:34,359 Speaker 3: rest of the market and say it's way too pessimistic 66 00:03:34,639 --> 00:03:37,440 Speaker 3: and move those up. And we're just not seeing any 67 00:03:37,560 --> 00:03:39,720 Speaker 3: change in that relative gap. So they're kind of each 68 00:03:39,760 --> 00:03:41,480 Speaker 3: getting the relative pe they deserve. 69 00:03:41,760 --> 00:03:46,800 Speaker 1: Bottle it, Laurie Kelvisen. There are the wonderful discussion of 70 00:03:47,080 --> 00:03:52,200 Speaker 1: piecing together your conviction about what the growth rate is, 71 00:03:52,240 --> 00:03:55,360 Speaker 1: however you measure that with a company and with an 72 00:03:55,440 --> 00:03:58,560 Speaker 1: industry as well. It really gets back to the basics 73 00:03:58,680 --> 00:04:02,120 Speaker 1: of security analysis. We're back to the basics here in 74 00:04:02,200 --> 00:04:05,920 Speaker 1: mid July onward to that July thirty FED meeting, and 75 00:04:06,000 --> 00:04:11,640 Speaker 1: of course all the geopolitics of the domestic Washington as well. 76 00:04:11,680 --> 00:04:14,840 Speaker 1: We're out on Apple Music, on Spotify as well as 77 00:04:14,840 --> 00:04:18,560 Speaker 1: where you find the podcast and on YouTube podcasts. It's 78 00:04:18,600 --> 00:04:27,560 Speaker 1: a single best idea