1 00:00:02,520 --> 00:00:16,640 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:12,840 --> 00:00:15,680 Speaker 2: Single Best Idea and a special edition. We'll get to 3 00:00:15,720 --> 00:00:18,799 Speaker 2: my essay of the Year in a moment. What a 4 00:00:18,920 --> 00:00:22,279 Speaker 2: joy A whole wide set of guests today, thanks to 5 00:00:22,440 --> 00:00:26,840 Speaker 2: Keith Cowing of NASA Watch for giving us great perspective 6 00:00:26,920 --> 00:00:30,920 Speaker 2: on Elon Musk in his space effort and what mister 7 00:00:30,960 --> 00:00:34,080 Speaker 2: Bezos is doing with Blue Origin. Everybody got safe back 8 00:00:34,120 --> 00:00:36,760 Speaker 2: to Earth after going up sixty two. As they call 9 00:00:36,800 --> 00:00:39,559 Speaker 2: it Shepherd, but it's sort of like Alan Shephard and 10 00:00:39,600 --> 00:00:42,720 Speaker 2: Mercury One where we're here, we're going up and we're 11 00:00:42,760 --> 00:00:45,000 Speaker 2: coming right back down. I think it's sort of cool 12 00:00:45,320 --> 00:00:49,040 Speaker 2: that they call it the Shepherd Mission. Our mission today 13 00:00:49,159 --> 00:00:52,360 Speaker 2: was good conversation Man Deep singh on Ai. Will have 14 00:00:52,440 --> 00:00:55,960 Speaker 2: him more and more tomorrow to look ahead at gold 15 00:00:56,000 --> 00:00:59,000 Speaker 2: at four thousand, maybe forty one hundred by the time 16 00:00:59,120 --> 00:01:03,760 Speaker 2: James Steele comes in the studio tomorrow from HSBC. Really 17 00:01:03,800 --> 00:01:07,559 Speaker 2: looking forward to that. Richard Clarina with a former vice 18 00:01:07,640 --> 00:01:11,680 Speaker 2: chairman of the Federal Reserve System with PIMCO and always 19 00:01:11,680 --> 00:01:16,160 Speaker 2: with Columbia. Richard Clarita and the turmoil, the Tumult of Japan. 20 00:01:16,600 --> 00:01:19,760 Speaker 3: Japan went through about a two decade period where they 21 00:01:19,760 --> 00:01:22,959 Speaker 3: had deflation. It wasn't a spiral, but prices were negative. 22 00:01:23,000 --> 00:01:24,920 Speaker 3: I think to me, Tom, one of the interesting things 23 00:01:24,959 --> 00:01:28,840 Speaker 3: about Japan is although the boj was trying to reflate 24 00:01:28,880 --> 00:01:32,280 Speaker 3: the economy, the politicians in the public actually didn't get 25 00:01:32,280 --> 00:01:36,000 Speaker 3: a vote. They actually liked deflation. You know, you've got 26 00:01:36,040 --> 00:01:38,679 Speaker 3: your savings in yen under the mattress. You know deflation 27 00:01:39,200 --> 00:01:40,760 Speaker 3: is good for you. So I think a challenge right 28 00:01:40,800 --> 00:01:43,680 Speaker 3: now in Japan is they finally, after twenty five years, 29 00:01:43,760 --> 00:01:47,200 Speaker 3: achieved the positive two or three percent inflation, but it's 30 00:01:47,240 --> 00:01:49,320 Speaker 3: creating substantial political tension. 31 00:01:49,440 --> 00:01:51,960 Speaker 2: Richard Clarina of PIMCO there and of course all of 32 00:01:52,000 --> 00:01:55,560 Speaker 2: us work at Columbia University, Bloomberg News off our Tokyo 33 00:01:55,720 --> 00:01:59,760 Speaker 2: desk today with a spectacular bar chart showing the agony 34 00:01:59,760 --> 00:02:03,320 Speaker 2: of an inflation to the Japanese. Their real wage, their 35 00:02:03,320 --> 00:02:07,960 Speaker 2: inflation adjusted wage is there's only one word for it. 36 00:02:07,960 --> 00:02:11,480 Speaker 2: It's grim. A special day my essay of the year, 37 00:02:11,680 --> 00:02:15,839 Speaker 2: and it is Professor Susie Welch of New York University. 38 00:02:15,919 --> 00:02:20,399 Speaker 2: Susie Welch, with some legitimate data study of this generational 39 00:02:20,480 --> 00:02:26,520 Speaker 2: divide between the goals aspirations of a older generation from 40 00:02:26,639 --> 00:02:29,080 Speaker 2: gen Z. It was an essay in the Wall Street Journal. 41 00:02:29,360 --> 00:02:33,240 Speaker 2: It's created a firestorm of comment. She was just brilliant. 42 00:02:33,280 --> 00:02:35,519 Speaker 2: Today here is Professor Welch. 43 00:02:35,800 --> 00:02:37,480 Speaker 1: They can't do what they would need to do, which 44 00:02:37,520 --> 00:02:40,960 Speaker 1: is promise a long term employment. I mean people feel 45 00:02:40,960 --> 00:02:42,959 Speaker 1: loyal when they feel like, Okay, I'm investing my time 46 00:02:42,960 --> 00:02:44,600 Speaker 1: in a company and I'm going to be here in 47 00:02:44,600 --> 00:02:46,400 Speaker 1: two or three years and my boss is going to be. 48 00:02:46,440 --> 00:02:49,560 Speaker 2: Here disclosure Bloomberg LP every day. It's a privilege. I mean, 49 00:02:49,560 --> 00:02:51,840 Speaker 2: that's where we come from, right, the three of us. 50 00:02:52,200 --> 00:02:54,560 Speaker 1: Right, Well, you've got probably a sense that, look, this 51 00:02:54,600 --> 00:02:57,000 Speaker 1: company is healthy and it's thriving, and we're all going 52 00:02:57,080 --> 00:02:58,920 Speaker 1: to be here, and I'm willing to get myself to 53 00:02:58,960 --> 00:03:01,799 Speaker 1: this organization and to work the extra hours because we're 54 00:03:01,800 --> 00:03:04,200 Speaker 1: all going to be here together. But for most people 55 00:03:04,200 --> 00:03:07,200 Speaker 1: going into organizations, there's this constant sense of fragility and 56 00:03:07,240 --> 00:03:09,320 Speaker 1: we may not be here. I could be gone tomorrow. 57 00:03:09,480 --> 00:03:12,800 Speaker 1: Why would you invest in yourself in that? And so 58 00:03:13,360 --> 00:03:16,800 Speaker 1: that contract is pretty much over now. There are places, 59 00:03:16,840 --> 00:03:19,040 Speaker 1: I think JP Morgan Goldman Zachs you can go and 60 00:03:19,080 --> 00:03:21,160 Speaker 1: think I could try to build my whole career here. 61 00:03:21,400 --> 00:03:23,280 Speaker 1: But there's not a lot of companies I've done anymore. 62 00:03:23,480 --> 00:03:27,200 Speaker 2: Susie Welch a riveting conversation. We hope to get that 63 00:03:27,320 --> 00:03:30,040 Speaker 2: out in its entirety for you on a podcast. We'll 64 00:03:30,040 --> 00:03:32,600 Speaker 2: see if we can pull that off. Today, I will 65 00:03:32,639 --> 00:03:35,920 Speaker 2: get the essay out on Twitter and LinkedIn and again 66 00:03:36,200 --> 00:03:39,280 Speaker 2: she's created with all of this is real academics. This 67 00:03:39,360 --> 00:03:42,960 Speaker 2: is not opinion, folks. This is like looking at complex 68 00:03:43,120 --> 00:03:48,240 Speaker 2: adult academic data about the emotions of gen Z versus 69 00:03:48,280 --> 00:03:52,840 Speaker 2: the emotions of the people on the hiring front at corporations. 70 00:03:52,880 --> 00:03:56,160 Speaker 2: We're in a podcast or out at Apple, your Spotify 71 00:03:56,480 --> 00:03:59,880 Speaker 2: YouTube podcasts, A single best idea 72 00:04:02,080 --> 00:04:02,480 Speaker 1: S