1 00:00:02,520 --> 00:00:15,160 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, single best idea. 2 00:00:15,280 --> 00:00:17,600 Speaker 2: We rarely do this, but we do it today. We're 3 00:00:17,640 --> 00:00:22,280 Speaker 2: going to devote our single best idea to one lonely economist. 4 00:00:22,680 --> 00:00:26,639 Speaker 2: Stephen Englander came out of the Yale University, combined with 5 00:00:26,720 --> 00:00:32,040 Speaker 2: Evanson and agricultural economics, and was definitive decades ago. It's 6 00:00:32,080 --> 00:00:36,040 Speaker 2: city group in what's called cross rates, not the euro 7 00:00:36,479 --> 00:00:41,440 Speaker 2: and the yen, the yen, the dollar, cable, sterling, the dollar, 8 00:00:42,000 --> 00:00:44,680 Speaker 2: but on all the other nuances that were out there. 9 00:00:45,000 --> 00:00:47,840 Speaker 2: That's how you migrate to Bill Winters, the standard charter 10 00:00:47,960 --> 00:00:53,360 Speaker 2: bank with a huge international and em almost the stereotype 11 00:00:53,440 --> 00:00:59,640 Speaker 2: is a Pacific ocean feel Singapore, Australia up to Hong Kong, etc. 12 00:01:00,640 --> 00:01:04,360 Speaker 2: Englander is definitive in foreign exchange and bringing it over 13 00:01:04,400 --> 00:01:09,000 Speaker 2: to economics now. He is riveted on what this FED 14 00:01:09,040 --> 00:01:14,200 Speaker 2: will do given the dual mandate, including collapsing employment. Steven 15 00:01:14,280 --> 00:01:18,279 Speaker 2: Englander on a September fifty basis point rate. 16 00:01:18,200 --> 00:01:22,720 Speaker 3: Cut, Ultimately I think yes, and let me be clear, 17 00:01:22,800 --> 00:01:24,920 Speaker 3: because we think that they do fifty and then they 18 00:01:24,959 --> 00:01:29,600 Speaker 3: pause because GDP numbers aren't bad. Productivity looks like it's 19 00:01:29,640 --> 00:01:30,520 Speaker 3: actually pretty good. 20 00:01:30,560 --> 00:01:32,880 Speaker 2: You sure. Sharma said that in the Ft today. 21 00:01:33,240 --> 00:01:37,160 Speaker 3: And the you know, you look at the labor numbers, 22 00:01:37,200 --> 00:01:41,000 Speaker 3: as you know, they're really mediocre. It's sluggish, softish. But 23 00:01:41,520 --> 00:01:43,240 Speaker 3: you know, as you know, I was at Lehman's in 24 00:01:43,280 --> 00:01:45,119 Speaker 3: two thousand and eight. This is not a two thousand 25 00:01:45,200 --> 00:01:48,160 Speaker 3: and eight type of labor market. That's not a twenty 26 00:01:48,200 --> 00:01:52,600 Speaker 3: April twenty twenty labor market. It's a mediocre, sluggish, poor 27 00:01:52,680 --> 00:01:57,000 Speaker 3: labor market where you know, you probably should get closer 28 00:01:57,040 --> 00:01:59,320 Speaker 3: to neutral, but nothing is falling off a cliff. 29 00:02:00,400 --> 00:02:04,400 Speaker 2: With Steven Englander on a bigger broader theme, which is, Okay, 30 00:02:04,560 --> 00:02:08,040 Speaker 2: we're all using AI. It's all changing our lives. Maybe 31 00:02:08,080 --> 00:02:11,360 Speaker 2: it's like late nineteen ninety four, early ninety five in 32 00:02:11,440 --> 00:02:17,279 Speaker 2: terms of technology changing the productivity the efficiency of America. 33 00:02:17,760 --> 00:02:21,560 Speaker 2: But what's it mean for the FED here? Englander on AI. 34 00:02:21,440 --> 00:02:23,600 Speaker 3: You know, we all talk about AI all day long, 35 00:02:24,600 --> 00:02:27,000 Speaker 3: and I think that that's going to be the real 36 00:02:27,440 --> 00:02:32,000 Speaker 3: decisor for how the economy breaks. You know, in practice, 37 00:02:32,240 --> 00:02:35,200 Speaker 3: given the absence of knowledge, it just means that you 38 00:02:35,800 --> 00:02:37,840 Speaker 3: sort of go slowly in the direction that you think 39 00:02:37,880 --> 00:02:42,200 Speaker 3: that data are telling you. I mean, there's no straw 40 00:02:42,280 --> 00:02:45,200 Speaker 3: here with which to make bricks. And you know, you 41 00:02:45,200 --> 00:02:48,880 Speaker 3: can critique the productivity data very easily as well. So 42 00:02:48,960 --> 00:02:51,880 Speaker 3: I think that they sort of you know, you take 43 00:02:51,919 --> 00:02:54,680 Speaker 3: a step, you see what happens. Take another step, see 44 00:02:54,680 --> 00:02:57,360 Speaker 3: what happens. If something bad happens, you stop, or you 45 00:02:57,360 --> 00:02:59,520 Speaker 3: step back a little bit. If it looks good, you 46 00:02:59,600 --> 00:03:00,000 Speaker 3: keep going. 47 00:03:00,440 --> 00:03:04,320 Speaker 2: Steven Angeloder the standard Charter Bank doctor Englander looks for 48 00:03:04,360 --> 00:03:09,320 Speaker 2: the revision statistic to be dramatic negative three quarters of 49 00:03:09,360 --> 00:03:14,120 Speaker 2: a million bodies maybe out two excuse me, seven hundred 50 00:03:14,160 --> 00:03:18,200 Speaker 2: and fifty thousand bodies out to one million. Many others, 51 00:03:18,200 --> 00:03:22,320 Speaker 2: including Bloomberg's Anda Wong, looking for a quiescent statistic of say, 52 00:03:22,400 --> 00:03:26,040 Speaker 2: negative four hundred thousand. So I'm even more benign than that. 53 00:03:26,120 --> 00:03:29,200 Speaker 2: It's a big debate, and we'll engage that debate tomorrow. 54 00:03:29,560 --> 00:03:33,600 Speaker 2: I'm Bloomberg Surveillance. It is a podcast on Apple, on Spotify, 55 00:03:34,120 --> 00:03:42,560 Speaker 2: on YouTube podcasts. It's single best idea