1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:12,880 --> 00:00:16,320 Speaker 2: Single best idea. We had Damien sassaur In to give 3 00:00:16,400 --> 00:00:20,840 Speaker 2: us an incredibly detailed pro briefing on the dynamics of 4 00:00:21,280 --> 00:00:25,120 Speaker 2: the rest of the world em and everyone bouncing off 5 00:00:25,160 --> 00:00:28,960 Speaker 2: this news flow that we have, and then the magic 6 00:00:29,040 --> 00:00:32,200 Speaker 2: of that is later on three or four guests later 7 00:00:32,240 --> 00:00:35,600 Speaker 2: to have Nathan Sheets with us, the chief global economist 8 00:00:36,240 --> 00:00:40,920 Speaker 2: for City Group, taking the same bouncing off all this 9 00:00:41,120 --> 00:00:45,920 Speaker 2: news flow and trying to coalesce it into a global view. 10 00:00:45,960 --> 00:00:48,440 Speaker 2: I thought it was just great to have sasaur back 11 00:00:48,479 --> 00:00:52,760 Speaker 2: to back with Sheets. Here's Nathan Sheets on the reality 12 00:00:53,400 --> 00:00:55,400 Speaker 2: of a higher yield regime. 13 00:00:56,040 --> 00:00:59,440 Speaker 3: I certainly think we're in a place where a central 14 00:00:59,560 --> 00:01:05,479 Speaker 3: banks are feeling pressured to be less accommodative and more 15 00:01:05,560 --> 00:01:08,560 Speaker 3: restrictive than what we expected as the year began. 16 00:01:09,319 --> 00:01:12,040 Speaker 1: And I think the key driver there is that, on 17 00:01:12,080 --> 00:01:16,480 Speaker 1: the one hand, this global economy continues to be quite 18 00:01:16,520 --> 00:01:19,679 Speaker 1: resilient y how we've worked down our able forecast by 19 00:01:19,720 --> 00:01:23,880 Speaker 1: a few tents, but inflation is going to be higher. 20 00:01:24,120 --> 00:01:26,360 Speaker 2: That's the hard of the matter. With the ambiguity of 21 00:01:26,400 --> 00:01:29,280 Speaker 2: a high nominal excuse me, with a high nominal GDP 22 00:01:30,200 --> 00:01:32,720 Speaker 2: and then what's the ambiguity. Do you get slow down 23 00:01:33,080 --> 00:01:38,039 Speaker 2: resilience do you get actual a pickup in a global 24 00:01:38,080 --> 00:01:41,200 Speaker 2: GDP here for that matter, for any other nation as well. 25 00:01:41,240 --> 00:01:44,560 Speaker 2: I think it makes for an incredibly uncertain dash to 26 00:01:44,640 --> 00:01:47,280 Speaker 2: the end of the year and into twenty twenty seven. 27 00:01:47,360 --> 00:01:51,360 Speaker 2: And we'll just do the best we can with the conversation. 28 00:01:52,000 --> 00:01:54,280 Speaker 2: Ed Ludlow twenty four to seven. I love to bust 29 00:01:54,320 --> 00:01:57,720 Speaker 2: this chops about his three hour workday out in San Francisco, 30 00:01:57,760 --> 00:02:00,880 Speaker 2: and as you well know, that's beyond far from the truth. 31 00:02:00,920 --> 00:02:03,640 Speaker 2: He's on the red Eye coming to sam coming to 32 00:02:03,760 --> 00:02:08,320 Speaker 2: New York here after the Apple meetings. Ad Ludlow on 33 00:02:08,400 --> 00:02:11,120 Speaker 2: technology and of course looking out to the weekends. News 34 00:02:11,480 --> 00:02:14,399 Speaker 2: that Google got a memo from SpaceX. 35 00:02:14,760 --> 00:02:17,880 Speaker 4: Google is going to pay space Yeah, nine hundred and 36 00:02:17,919 --> 00:02:21,280 Speaker 4: twenty five million dollars per month for compute. So there's 37 00:02:21,320 --> 00:02:24,320 Speaker 4: the immediate story. SpaceX is a company that launches rockets, 38 00:02:24,320 --> 00:02:26,320 Speaker 4: and on that rocket is some kind of payload for 39 00:02:26,360 --> 00:02:28,720 Speaker 4: a public or private sector customer. Then in the very 40 00:02:28,720 --> 00:02:33,240 Speaker 4: distance distant future it sells AI to enterprises. In the interim, 41 00:02:34,000 --> 00:02:36,000 Speaker 4: everyone I speak to on the cat table is saying 42 00:02:36,040 --> 00:02:39,200 Speaker 4: they are playing a blinder by hedging their bets becoming 43 00:02:39,240 --> 00:02:42,960 Speaker 4: a hyperscaler selling computing capacity. There are big questions about 44 00:02:43,280 --> 00:02:45,960 Speaker 4: why don't they need their own, but yeah, this is 45 00:02:46,240 --> 00:02:48,799 Speaker 4: interesting timing, pre pricing of trade. 46 00:02:49,000 --> 00:02:51,520 Speaker 2: My head is spinning. I'm trying to get smarter on 47 00:02:51,560 --> 00:02:53,320 Speaker 2: this as we dashed for the week, and we're so 48 00:02:53,480 --> 00:02:57,680 Speaker 2: advantaged by our equity desk, by our debt desk, and 49 00:02:57,760 --> 00:03:01,480 Speaker 2: of course all that's going on in technology there with 50 00:03:01,720 --> 00:03:05,679 Speaker 2: Ed Ludlow on podcasts, it's a technology on Apple and 51 00:03:05,800 --> 00:03:14,720 Speaker 2: Spotify on YouTube podcasts and single best idea