1 00:00:00,120 --> 00:00:03,360 Speaker 1: Let's say I'm squeamish. I don't like to see blood. 2 00:00:03,760 --> 00:00:07,240 Speaker 1: I get a bit uneasy around sick people makes me sad. 3 00:00:07,920 --> 00:00:11,039 Speaker 1: So what else could I do when I get old? 4 00:00:16,120 --> 00:00:18,000 Speaker 1: This episode is brought to you by nat X, the 5 00:00:18,120 --> 00:00:21,440 Speaker 1: Binary Options Exchange. Binary options let you limit your risk 6 00:00:21,680 --> 00:00:24,200 Speaker 1: and trade stock in dissees, commodities for x and more 7 00:00:24,480 --> 00:00:27,760 Speaker 1: from a single account. Nat X is a CFTC regulated 8 00:00:27,800 --> 00:00:32,600 Speaker 1: exchange with transparency, free market data, and fairness guarantee. The 9 00:00:32,640 --> 00:00:35,040 Speaker 1: future of trading is here now at n A d 10 00:00:35,200 --> 00:00:38,360 Speaker 1: e X, dot com, futures, options and spots. Trading involves 11 00:00:38,440 --> 00:00:48,640 Speaker 1: risk and may not be appropriate for all investors. Hi, 12 00:00:48,760 --> 00:00:51,640 Speaker 1: and welcome back to Bloomberg Benchmark, a podcast about the 13 00:00:51,640 --> 00:00:56,360 Speaker 1: global economy. It is Wednesday, December. I'm Tori Stiwell and 14 00:00:56,440 --> 00:00:59,800 Speaker 1: economics reporter with Bloomberg News, and I am in New 15 00:00:59,840 --> 00:01:04,120 Speaker 1: York work today with Dan Moss. And we're also joined 16 00:01:04,120 --> 00:01:08,600 Speaker 1: by Aki Edo, our editor for Benchmark in San Francisco. Guys, Hiaki, 17 00:01:08,800 --> 00:01:11,600 Speaker 1: are you feeling all lonesome out there? I am, I am, 18 00:01:11,600 --> 00:01:14,480 Speaker 1: I wish. Yeah. We're having a big party here in 19 00:01:14,600 --> 00:01:19,920 Speaker 1: New York with the producers Crazy. Today we're going to 20 00:01:20,040 --> 00:01:23,200 Speaker 1: be looking forward, not just next year, but to the 21 00:01:23,319 --> 00:01:27,200 Speaker 1: coming decade. We're going to offer everyone a sneak preview 22 00:01:27,520 --> 00:01:31,000 Speaker 1: far out into the future. What does the American labor 23 00:01:31,040 --> 00:01:33,920 Speaker 1: market look like a decade from now? And we have 24 00:01:33,959 --> 00:01:36,280 Speaker 1: a great guide with us, which is this giant set 25 00:01:36,280 --> 00:01:39,920 Speaker 1: of projections that the US Labor Department published this month. 26 00:01:40,280 --> 00:01:42,880 Speaker 1: It's got info on the fate of hundreds of different 27 00:01:42,959 --> 00:01:46,319 Speaker 1: kinds of jobs by the year, and it's a pretty 28 00:01:46,319 --> 00:01:49,320 Speaker 1: fascinating look into the future. Gosh, I just love this report. 29 00:01:49,440 --> 00:01:52,320 Speaker 1: I've used it for my own reporting, and I like 30 00:01:52,480 --> 00:01:55,240 Speaker 1: it for myself to you know, thinking about where I 31 00:01:55,280 --> 00:01:58,680 Speaker 1: want my own career to go. Uh Tori, what will 32 00:01:58,720 --> 00:02:03,640 Speaker 1: your life look like? And ideally I will be on 33 00:02:03,720 --> 00:02:11,239 Speaker 1: a farm making homemade cheese. And that's the dream just 34 00:02:11,400 --> 00:02:16,080 Speaker 1: in overalls, Yeah, retirement at age six. Now I'm going 35 00:02:16,120 --> 00:02:20,760 Speaker 1: to be a farmer. I'm gonnas how farmers are going 36 00:02:20,840 --> 00:02:24,399 Speaker 1: to do real quick? Farmers are going to lose jobs. Yeah, yeah, 37 00:02:24,480 --> 00:02:28,240 Speaker 1: we're moving away from an agricultural economy. You'll be one 38 00:02:28,280 --> 00:02:31,359 Speaker 1: of the very few. You'll be really special, excellent, It'll 39 00:02:31,400 --> 00:02:35,600 Speaker 1: be like an artisanal farm. To help us make sense 40 00:02:35,680 --> 00:02:39,320 Speaker 1: of this brave new world, and we have Heidi Sherholtz 41 00:02:39,320 --> 00:02:41,799 Speaker 1: on the line. She is the chief economist at the 42 00:02:41,880 --> 00:02:45,840 Speaker 1: Labor Department. Hello Heidi, Hi, thank you for having me. Heidi. 43 00:02:45,960 --> 00:02:48,720 Speaker 1: This is a huge report that you guys have put out. 44 00:02:48,760 --> 00:02:52,560 Speaker 1: So let's start with very broad, five thousand foot view 45 00:02:52,560 --> 00:02:55,959 Speaker 1: of the labor market. What are the main changes that 46 00:02:56,000 --> 00:02:58,480 Speaker 1: we are going to see in the demographic makeup of 47 00:02:58,480 --> 00:03:03,079 Speaker 1: our workforce over the next nine tennis years. Yeah. So 48 00:03:03,160 --> 00:03:06,679 Speaker 1: this is the report that the Bureau of Labor Statistics 49 00:03:06,840 --> 00:03:10,320 Speaker 1: puts out every two years where they do these massive 50 00:03:10,400 --> 00:03:13,840 Speaker 1: projections of what employment will be like for the next 51 00:03:13,880 --> 00:03:17,600 Speaker 1: ten years. They look at not just occupations and industries 52 00:03:17,639 --> 00:03:21,440 Speaker 1: that will be growing, but also demographic changes. And one 53 00:03:21,480 --> 00:03:24,440 Speaker 1: of the sort of the theme we see from these 54 00:03:24,520 --> 00:03:29,000 Speaker 1: numbers is not a surprise. The labor force is going 55 00:03:29,040 --> 00:03:33,120 Speaker 1: to continue to get older. We're seeing more of the 56 00:03:33,960 --> 00:03:36,840 Speaker 1: just broad aging of the population that will sort of 57 00:03:36,840 --> 00:03:39,560 Speaker 1: start tapering off at the end of this window, at 58 00:03:39,600 --> 00:03:42,000 Speaker 1: the end of this tenure window they're looking at, but 59 00:03:42,120 --> 00:03:45,080 Speaker 1: we are seeing the labor force continuing to get older. 60 00:03:45,080 --> 00:03:48,080 Speaker 1: And then the other thing that we're seeing is increasing 61 00:03:48,120 --> 00:03:51,760 Speaker 1: diversity of the labor force. We see bigger share of 62 00:03:51,800 --> 00:03:54,680 Speaker 1: the labor force are racial un ethnic minorities, and so 63 00:03:54,720 --> 00:03:59,480 Speaker 1: those two key things are sort of important dynamics going forward. 64 00:03:59,480 --> 00:04:02,280 Speaker 1: And one one thing I should say though, is none 65 00:04:02,280 --> 00:04:08,000 Speaker 1: of that is changing incredibly rapidly. Deetographic trends tend to 66 00:04:08,040 --> 00:04:10,520 Speaker 1: move pretty slowly, but that's the direction they're going in 67 00:04:10,640 --> 00:04:12,520 Speaker 1: right now. I want to I want to zoom in 68 00:04:12,560 --> 00:04:15,280 Speaker 1: on the on the kind of aging piece of this 69 00:04:15,320 --> 00:04:17,320 Speaker 1: because I thought it was really interesting in the report, 70 00:04:17,720 --> 00:04:20,719 Speaker 1: you guys say that the labor force participation rate, which 71 00:04:20,800 --> 00:04:23,880 Speaker 1: is the share of the working age population that is 72 00:04:23,920 --> 00:04:27,000 Speaker 1: either employed or at least looking for a job, that 73 00:04:27,160 --> 00:04:30,600 Speaker 1: rate for the sixty five years old and older age 74 00:04:30,600 --> 00:04:35,440 Speaker 1: group is going to rise to one point seven percent 75 00:04:35,560 --> 00:04:37,919 Speaker 1: from eighteen point six percent. And I think that's just 76 00:04:38,320 --> 00:04:40,560 Speaker 1: it's astounding. It's a it's a really big increase in 77 00:04:40,800 --> 00:04:43,920 Speaker 1: I think really illustrates what you just said very well. Yeah, 78 00:04:43,960 --> 00:04:47,840 Speaker 1: it's a fascinating dynamic. So we see workers workers who 79 00:04:47,839 --> 00:04:50,640 Speaker 1: are older or people who are older are more likely 80 00:04:50,680 --> 00:04:53,000 Speaker 1: to be in the labor force than they used to be, 81 00:04:53,080 --> 00:04:56,360 Speaker 1: and that trend is continuing. So some of that so 82 00:04:56,440 --> 00:05:01,800 Speaker 1: we're never going to retire at all. I do I 83 00:05:01,880 --> 00:05:04,640 Speaker 1: do plan on retiring myself, and I believe you all 84 00:05:04,680 --> 00:05:06,839 Speaker 1: will also be able to have a period of retirement. 85 00:05:07,040 --> 00:05:10,640 Speaker 1: But people are um starting to delay that more than 86 00:05:10,680 --> 00:05:15,200 Speaker 1: they used to. So we're starting to see workers over 87 00:05:15,279 --> 00:05:18,640 Speaker 1: age sixty five and larger numbers continue being in the 88 00:05:18,720 --> 00:05:21,840 Speaker 1: labor force. But you will note those numbers you cited 89 00:05:22,160 --> 00:05:25,240 Speaker 1: are still quite low. It's not like they're compared to 90 00:05:25,320 --> 00:05:29,600 Speaker 1: younger workers. Yes, and one of the dynamics we're seeing 91 00:05:30,120 --> 00:05:34,680 Speaker 1: is the um the overall labor force participation rate is 92 00:05:34,720 --> 00:05:38,880 Speaker 1: actually dropping. Interestingly enough, because when you even though you 93 00:05:38,960 --> 00:05:43,000 Speaker 1: have this increase in labor force participation of older workers, 94 00:05:43,760 --> 00:05:47,440 Speaker 1: their overall numbers are lower. It's growing, but from sort 95 00:05:47,480 --> 00:05:49,880 Speaker 1: of a very low base. And so as we have 96 00:05:50,160 --> 00:05:53,840 Speaker 1: the aging of the workforce, you're aging people into this 97 00:05:54,440 --> 00:05:58,360 Speaker 1: category that has a lower labor force participation rate. Let's 98 00:05:58,360 --> 00:06:01,640 Speaker 1: talk about this older population, and you know, as our 99 00:06:01,760 --> 00:06:05,560 Speaker 1: population ages, that really means that some jobs are going 100 00:06:05,560 --> 00:06:08,240 Speaker 1: to be in huge amen and other jobs aren't going 101 00:06:08,240 --> 00:06:10,400 Speaker 1: to be in demand at all. So, Dan, do you 102 00:06:10,440 --> 00:06:12,960 Speaker 1: want to walk us through some of those numbers. We'll 103 00:06:12,960 --> 00:06:17,279 Speaker 1: be seeing big increases in healthcare across the board. Someone 104 00:06:17,320 --> 00:06:20,560 Speaker 1: has to take care of this aging population. The job 105 00:06:20,600 --> 00:06:23,200 Speaker 1: that's going to see the most growth over the next 106 00:06:23,240 --> 00:06:27,600 Speaker 1: decade is a thing called personal care aids. These are 107 00:06:27,600 --> 00:06:31,680 Speaker 1: people who take care of everyday stuff when you can't 108 00:06:31,720 --> 00:06:35,360 Speaker 1: do it yourself. This job is going to employ almost 109 00:06:35,520 --> 00:06:39,680 Speaker 1: half a million more people in compared with last year. 110 00:06:40,120 --> 00:06:41,839 Speaker 1: That's a lot of people. And there are tons of 111 00:06:41,839 --> 00:06:44,280 Speaker 1: other jobs in healthcare that are also going to win 112 00:06:44,320 --> 00:06:49,840 Speaker 1: pretty big registered nurses, home health aids, nursing assistance, medical assistance. 113 00:06:50,520 --> 00:06:55,040 Speaker 1: So let's say I'm squeamish. I don't like to see blood. 114 00:06:55,400 --> 00:06:58,880 Speaker 1: I get a bit uneasy around sick people. Makes me sad. 115 00:07:00,760 --> 00:07:04,080 Speaker 1: You know, I'm not a huge guy in terms of 116 00:07:04,120 --> 00:07:09,400 Speaker 1: guzzling medicine or administering medicine. So what else could I 117 00:07:09,400 --> 00:07:12,600 Speaker 1: do when I get old? We've got other jobs for you, 118 00:07:12,720 --> 00:07:17,680 Speaker 1: I promise, Thank god there are You were really emphatic there. 119 00:07:17,760 --> 00:07:21,720 Speaker 1: That was great. Over the next ten years, it's expected 120 00:07:21,760 --> 00:07:25,840 Speaker 1: that will add almost ten million jobs. Around a quarter 121 00:07:25,920 --> 00:07:28,560 Speaker 1: of those jobs are indeed expected to be in healthcare, 122 00:07:28,560 --> 00:07:31,160 Speaker 1: so that's a huge share, but it's still only a 123 00:07:31,280 --> 00:07:34,320 Speaker 1: quarter of those jobs. So even though it's a fast 124 00:07:34,360 --> 00:07:37,000 Speaker 1: growing industry, there's going to be a lot of other 125 00:07:37,160 --> 00:07:39,960 Speaker 1: jobs growing. So there's a lot of other jobs. There's 126 00:07:40,000 --> 00:07:42,680 Speaker 1: a lot of other high paying jobs that are going 127 00:07:42,720 --> 00:07:45,960 Speaker 1: to be added. Outside of the health care industry. You 128 00:07:46,000 --> 00:07:49,080 Speaker 1: see a lot of growth and business and financial operations, 129 00:07:49,240 --> 00:07:54,880 Speaker 1: computer and mathematics occupations, management occupations. One of the category 130 00:07:54,920 --> 00:07:58,120 Speaker 1: that's growing strongly that is a good paying job that 131 00:07:58,120 --> 00:08:02,320 Speaker 1: doesn't necessarily require a college degree are installation, maintenance and 132 00:08:02,360 --> 00:08:06,280 Speaker 1: repair occupations. And that's one of the categories where the 133 00:08:06,320 --> 00:08:09,720 Speaker 1: aging of the workforce factors in. Is that like the 134 00:08:09,760 --> 00:08:12,040 Speaker 1: guy who comes in and puts in your cable box 135 00:08:12,760 --> 00:08:15,400 Speaker 1: at his or the plumber who comes in and compares 136 00:08:15,720 --> 00:08:18,560 Speaker 1: that that when you sort of think of installation and repair, 137 00:08:19,240 --> 00:08:22,880 Speaker 1: that that's a catch all for all of those skilled, 138 00:08:23,200 --> 00:08:26,440 Speaker 1: in many cases very skilled trades. And we're seeing many 139 00:08:26,480 --> 00:08:30,040 Speaker 1: of the workers in those jobs are getting older and 140 00:08:30,120 --> 00:08:33,760 Speaker 1: so as you see retirements happening, it's going to open 141 00:08:33,840 --> 00:08:35,520 Speaker 1: up a lot of jobs. And I just have to 142 00:08:35,559 --> 00:08:38,560 Speaker 1: mention this category because it's jumping out of me. You've 143 00:08:38,559 --> 00:08:43,320 Speaker 1: listed as an industry offices of dentists and they're supposed 144 00:08:43,360 --> 00:08:46,720 Speaker 1: to do really well. Yeah, I don't have anything specific 145 00:08:46,800 --> 00:08:49,679 Speaker 1: to say about the offices of that dis although one 146 00:08:49,679 --> 00:08:51,320 Speaker 1: thing I can say is that now that I've become 147 00:08:51,400 --> 00:08:54,480 Speaker 1: chief Economists at the Department of Labor, the job involves 148 00:08:54,520 --> 00:08:57,000 Speaker 1: such stress that I now grind my teeth at night. 149 00:08:57,280 --> 00:08:59,960 Speaker 1: Did you get a nightguard? I have a nightguard. Now 150 00:09:00,160 --> 00:09:04,760 Speaker 1: help health employ more than this, But I, UM, I 151 00:09:04,840 --> 00:09:07,560 Speaker 1: do think it's part of the broader We're going to 152 00:09:07,600 --> 00:09:10,480 Speaker 1: need more people in healthcare. I like. I also like 153 00:09:10,679 --> 00:09:15,119 Speaker 1: the occupation you guys have here. It's the fastest growing occupation, 154 00:09:15,200 --> 00:09:18,160 Speaker 1: even though it employees a relatively small number of people, 155 00:09:18,600 --> 00:09:23,320 Speaker 1: wind turbine service technicians. That makes me so the story 156 00:09:23,400 --> 00:09:26,440 Speaker 1: behind that. You're right, it's small, but it sticks out 157 00:09:26,480 --> 00:09:30,840 Speaker 1: as the fastest. Yeah, it is because it's been around 158 00:09:30,880 --> 00:09:33,360 Speaker 1: ten or so years when we started, since we started 159 00:09:33,400 --> 00:09:36,760 Speaker 1: to see a big investment in wind turbine and now 160 00:09:36,800 --> 00:09:39,880 Speaker 1: they're coming due for repair, and so we're we are 161 00:09:39,880 --> 00:09:42,280 Speaker 1: now seeing we're going to continue to see the need 162 00:09:42,320 --> 00:09:46,160 Speaker 1: for more of those of repair technicians. That's interesting because 163 00:09:46,640 --> 00:09:49,520 Speaker 1: I still think of them as being a failing new phenomenon. 164 00:09:49,600 --> 00:09:53,040 Speaker 1: But you're signing the replacement cycles already here. Yeah, we've 165 00:09:53,080 --> 00:09:56,520 Speaker 1: really we started to see, um that investment pick up 166 00:09:56,720 --> 00:09:59,360 Speaker 1: five ten years ago. So over the next ten years 167 00:10:00,080 --> 00:10:04,080 Speaker 1: they're gonna start to need to be fixed. Let's let's 168 00:10:04,120 --> 00:10:08,400 Speaker 1: bum everyone out for one second. Which jobs are disappearing 169 00:10:08,440 --> 00:10:11,400 Speaker 1: a CD of those numbers for us? Yeah, so the 170 00:10:11,480 --> 00:10:14,400 Speaker 1: postal service as an industry is going to lose a 171 00:10:14,440 --> 00:10:18,839 Speaker 1: whole lot a hundred and sixty five thousand jobs. Uh, 172 00:10:18,880 --> 00:10:21,240 Speaker 1: and we're probably going to see really big losses in 173 00:10:21,280 --> 00:10:24,600 Speaker 1: the number of federal government jobs. To other than that, 174 00:10:24,679 --> 00:10:28,560 Speaker 1: our economy is going to continue to make more progress 175 00:10:28,640 --> 00:10:31,960 Speaker 1: into becoming a service oriented economy. So we're gonna lose 176 00:10:32,000 --> 00:10:34,960 Speaker 1: a lot of manufacturing jobs. Um, these jobs are going 177 00:10:35,040 --> 00:10:38,120 Speaker 1: to move to countries with cheaper labor, or they're going 178 00:10:38,160 --> 00:10:42,240 Speaker 1: to be replaced by robots altogether, HAIDI. I worry that 179 00:10:42,280 --> 00:10:45,400 Speaker 1: we may already know the answer to this, but we've 180 00:10:45,400 --> 00:10:48,960 Speaker 1: got to ask anyway, what do our prospects as journalists 181 00:10:48,960 --> 00:10:53,560 Speaker 1: look like? So one of the journalists, it's tricky. It 182 00:10:53,800 --> 00:10:57,840 Speaker 1: is one of those industries where it's evolving so quickly 183 00:10:57,920 --> 00:11:00,640 Speaker 1: that one way people consume news to day may not 184 00:11:00,720 --> 00:11:02,760 Speaker 1: be the way they consume news the next day. But 185 00:11:02,920 --> 00:11:06,920 Speaker 1: I think the key thing is they're still consuming news 186 00:11:06,960 --> 00:11:09,520 Speaker 1: like you know, people are always going to be hungry 187 00:11:09,559 --> 00:11:13,480 Speaker 1: for the information, and so you guys are doing the 188 00:11:13,600 --> 00:11:17,560 Speaker 1: right thing by being creative about different ways to try 189 00:11:17,600 --> 00:11:20,720 Speaker 1: to get the news to people. Are not like regular 190 00:11:20,800 --> 00:11:24,959 Speaker 1: journalists were cool journals you are. I think she's saying 191 00:11:24,960 --> 00:11:30,680 Speaker 1: we're lucky we were exactly. Well that's a ringing endorsement 192 00:11:30,800 --> 00:11:34,760 Speaker 1: from the US government itself. Yeah, well, we've gone through 193 00:11:34,800 --> 00:11:38,000 Speaker 1: lots of winners and losers. Let's jump into a broader 194 00:11:38,040 --> 00:11:40,760 Speaker 1: discussion about the future of the job market and what 195 00:11:40,800 --> 00:11:43,040 Speaker 1: we can do to be ready for that future. After 196 00:11:43,120 --> 00:11:50,679 Speaker 1: a word from our sponsor, what do traders want to 197 00:11:50,840 --> 00:11:53,760 Speaker 1: limit risk? Access every opportunity and trade on a level 198 00:11:53,800 --> 00:11:56,560 Speaker 1: playing field. Nate x binary options let you set your 199 00:11:56,600 --> 00:11:59,120 Speaker 1: maximum profit and loss before the trade, so your risk 200 00:11:59,200 --> 00:12:03,760 Speaker 1: is always limited. Find opportunities in multiple markets, stock indussees, commodities, forks, 201 00:12:03,880 --> 00:12:08,280 Speaker 1: even economic numbers, and bitcoin, all from one account and platform. 202 00:12:08,400 --> 00:12:11,880 Speaker 1: Nat x is a CSTC regulated exchange with transparency, free 203 00:12:11,920 --> 00:12:16,559 Speaker 1: market data, and fairness guaranteed innovations of financial industry needs 204 00:12:16,600 --> 00:12:19,360 Speaker 1: and nat X already has. That's why we think binary 205 00:12:19,400 --> 00:12:22,200 Speaker 1: options are the future of trading, and it's here now 206 00:12:22,280 --> 00:12:25,400 Speaker 1: at n A d e X dot com. Futures options 207 00:12:25,400 --> 00:12:27,600 Speaker 1: and swaps. Trading involves risk and may not be appropriate 208 00:12:27,640 --> 00:12:35,280 Speaker 1: for all investors. So in a previous episode, we talked 209 00:12:35,320 --> 00:12:40,640 Speaker 1: about how advances and artificial intelligence are allowing engineers to 210 00:12:40,720 --> 00:12:43,880 Speaker 1: make software do all these things that only humans could 211 00:12:43,880 --> 00:12:47,000 Speaker 1: do before. And one of my pet favorites has been 212 00:12:47,320 --> 00:12:50,720 Speaker 1: driverless cars because I don't really like driving and this 213 00:12:50,760 --> 00:12:55,560 Speaker 1: would presumably displace human taxi drivers. So Heidi, you know, 214 00:12:55,600 --> 00:12:59,080 Speaker 1: what are your thoughts on the technological progress that we've 215 00:12:59,160 --> 00:13:01,360 Speaker 1: seen so far are and it's impact on the job 216 00:13:01,440 --> 00:13:05,079 Speaker 1: market and where do you think that's going. So while 217 00:13:05,200 --> 00:13:09,439 Speaker 1: I remain extremely excited about the prospect of driverless cars, 218 00:13:09,600 --> 00:13:13,120 Speaker 1: I do think that there's an important context for thinking 219 00:13:13,160 --> 00:13:16,800 Speaker 1: about how fast things are changing right now. There's a 220 00:13:16,880 --> 00:13:20,960 Speaker 1: sort of breathless conversation out there about this pace of change, 221 00:13:21,120 --> 00:13:24,120 Speaker 1: But there's actually a way we can look at, like 222 00:13:24,440 --> 00:13:27,160 Speaker 1: like sort of measure how fast things are changing, and 223 00:13:27,240 --> 00:13:32,600 Speaker 1: it's productivity growth. So if robots really were stealing all 224 00:13:32,600 --> 00:13:35,840 Speaker 1: our jobs, that means that before something that took you know, 225 00:13:35,920 --> 00:13:38,240 Speaker 1: ten people to do, now it takes one person to 226 00:13:38,400 --> 00:13:41,320 Speaker 1: sort of supervise for lack of a better word, ten 227 00:13:41,400 --> 00:13:45,719 Speaker 1: robots and so that one human hour of work they 228 00:13:45,760 --> 00:13:48,240 Speaker 1: get the same amount done, where before it took ten 229 00:13:48,360 --> 00:13:51,560 Speaker 1: human hours to do the work. So that kind of 230 00:13:51,600 --> 00:13:57,960 Speaker 1: scenario describes a big acceleration of productivity growth. But if 231 00:13:58,000 --> 00:14:04,280 Speaker 1: you look historically, productivity has typically grown around two percent 232 00:14:04,520 --> 00:14:07,400 Speaker 1: per year. It's sometimes faster, sometimes slower, but that's sort 233 00:14:07,440 --> 00:14:11,439 Speaker 1: of been its long run growth rate. It is, if anything, 234 00:14:11,880 --> 00:14:15,080 Speaker 1: a little slower than that over the last ten years 235 00:14:15,080 --> 00:14:19,000 Speaker 1: than it was before. So we are not seeing a 236 00:14:19,040 --> 00:14:23,520 Speaker 1: massive acceleration and productivity growth that would signal that robots 237 00:14:23,520 --> 00:14:25,960 Speaker 1: were stealing all of our jobs. And our listeners will 238 00:14:25,960 --> 00:14:28,480 Speaker 1: know from our very first episode it is the US 239 00:14:28,520 --> 00:14:34,960 Speaker 1: economies silent menace. Yeah, I I. One of the things 240 00:14:35,000 --> 00:14:38,760 Speaker 1: about that long run productivity growth is that that's happened 241 00:14:39,000 --> 00:14:42,680 Speaker 1: in times of prosperity and times of recessions, but that 242 00:14:43,000 --> 00:14:46,680 Speaker 1: but mostly it's happened in times of prosperity. In times 243 00:14:46,720 --> 00:14:49,840 Speaker 1: of prosperity is when there's a lot of innovation going on, 244 00:14:50,200 --> 00:14:53,400 Speaker 1: and productivity tends to accelerate because there's sort of a 245 00:14:53,480 --> 00:14:56,280 Speaker 1: lot of action out there and investments and innovation and 246 00:14:56,360 --> 00:14:59,720 Speaker 1: people people having the opportunity to try new things that 247 00:14:59,760 --> 00:15:03,640 Speaker 1: can lead to productivity growth um that goes hand in 248 00:15:03,720 --> 00:15:06,760 Speaker 1: hand with a lot of job growth, a lot of 249 00:15:06,800 --> 00:15:10,760 Speaker 1: good things happening, So it doesn't necessarily spell it doesn't 250 00:15:10,880 --> 00:15:15,800 Speaker 1: in my view, productivity growth doesn't spell menace. Um. You know, 251 00:15:16,400 --> 00:15:20,400 Speaker 1: robots will steal some jobs, but the people who then 252 00:15:20,560 --> 00:15:23,920 Speaker 1: benefit from that productivity growth have more income. They buy 253 00:15:24,000 --> 00:15:27,560 Speaker 1: nude things that generates demand for other things that people 254 00:15:27,600 --> 00:15:30,000 Speaker 1: get employed in other places. So there's there's sort of 255 00:15:30,840 --> 00:15:34,360 Speaker 1: there could be adjustment pain as there's one occupation or 256 00:15:34,360 --> 00:15:39,000 Speaker 1: industry that gets subsumed by robots, but it, you know, 257 00:15:39,000 --> 00:15:41,560 Speaker 1: it sort of balloons out elsewhere and there's something else 258 00:15:41,600 --> 00:15:44,560 Speaker 1: at growth. One thing I thought was really interesting in 259 00:15:45,560 --> 00:15:50,080 Speaker 1: projections is participation by youth in the labor force. So 260 00:15:50,160 --> 00:15:55,160 Speaker 1: people ages sixteen to twenty four, and right now they 261 00:15:55,240 --> 00:15:59,040 Speaker 1: make up about almost four of the labor force, but 262 00:15:59,160 --> 00:16:02,880 Speaker 1: that's projected to decrease. So I think it's it's fascinating 263 00:16:02,880 --> 00:16:06,000 Speaker 1: You've got this dynamic where the participation by older adults 264 00:16:06,040 --> 00:16:09,400 Speaker 1: is increasing and the participation by the youngest adults is decreasing. 265 00:16:09,400 --> 00:16:12,200 Speaker 1: What's going on there? Shouldn't the the young ones be 266 00:16:12,240 --> 00:16:15,120 Speaker 1: the ones that are most highly engaged? Is it's solely 267 00:16:15,160 --> 00:16:18,800 Speaker 1: because they're going to college. What what's what's thee you 268 00:16:18,880 --> 00:16:23,000 Speaker 1: put your finger on it. So the UM the there's 269 00:16:23,040 --> 00:16:26,760 Speaker 1: been a long term decline in labor force participation of 270 00:16:27,400 --> 00:16:30,000 Speaker 1: younger people, workers under the age of people under the 271 00:16:30,000 --> 00:16:34,080 Speaker 1: age of and that is a huge chunk of that 272 00:16:34,200 --> 00:16:37,840 Speaker 1: is attributable to people staying in school longer. So it's people. 273 00:16:38,080 --> 00:16:40,600 Speaker 1: You know, even high school graduation rates are going up, 274 00:16:40,920 --> 00:16:44,240 Speaker 1: and then college graduation rates going up, people going and 275 00:16:44,280 --> 00:16:48,400 Speaker 1: getting master's degrees and even higher levels of professional degrees. 276 00:16:48,600 --> 00:16:52,800 Speaker 1: The incidents of that, the share of young workers that 277 00:16:52,840 --> 00:16:55,960 Speaker 1: are continuing on in school is just going up. So 278 00:16:56,320 --> 00:17:01,320 Speaker 1: that um, that piece of the clin mine in labor 279 00:17:01,320 --> 00:17:04,760 Speaker 1: force participation among young people is actually really good news. 280 00:17:04,840 --> 00:17:08,639 Speaker 1: It's people making investments that will set them up to 281 00:17:08,760 --> 00:17:11,639 Speaker 1: get higher earnings going forward. And when you finished this 282 00:17:11,800 --> 00:17:14,720 Speaker 1: report and you sat back and you went home at night, 283 00:17:15,000 --> 00:17:19,520 Speaker 1: did anything keep you up anything? He'd really worry us, 284 00:17:21,240 --> 00:17:23,840 Speaker 1: you know, none of what maybe not in the sense 285 00:17:23,880 --> 00:17:27,199 Speaker 1: that it was what we see wasn't a surprise. The 286 00:17:27,960 --> 00:17:30,239 Speaker 1: even though there's changes, all we were seeing sort of 287 00:17:30,720 --> 00:17:33,600 Speaker 1: things like the fastest growing jobs are going to be 288 00:17:33,640 --> 00:17:37,040 Speaker 1: in healthcare, that there are. The labor market is evolving 289 00:17:37,080 --> 00:17:40,640 Speaker 1: all the time, but it tends to evolve pretty slowly. 290 00:17:40,960 --> 00:17:42,840 Speaker 1: If you look out in the world and you see 291 00:17:42,880 --> 00:17:46,000 Speaker 1: the jobs that people do, it's you know, it's this. 292 00:17:46,440 --> 00:17:49,200 Speaker 1: It doesn't evolve all that fast. We still have unless 293 00:17:49,240 --> 00:17:52,359 Speaker 1: there's a shock, right, unless we get another another accession, 294 00:17:52,720 --> 00:17:56,600 Speaker 1: oh right right, that would be indeed a uh that 295 00:17:56,880 --> 00:17:59,160 Speaker 1: that I do not want to have happened. And that's 296 00:17:59,200 --> 00:18:01,360 Speaker 1: the stand of mixed in and for as long as 297 00:18:01,520 --> 00:18:06,439 Speaker 1: is absolutely possible. Um. So the thing about these projections 298 00:18:06,600 --> 00:18:09,080 Speaker 1: is that they don't factor that in. These projections come 299 00:18:09,080 --> 00:18:11,919 Speaker 1: out of the Bureau of Labor Statistics, and we we 300 00:18:12,040 --> 00:18:15,280 Speaker 1: certainly it is not their job to try to predict 301 00:18:15,320 --> 00:18:17,720 Speaker 1: when the next recession will be. And so they just 302 00:18:17,880 --> 00:18:20,560 Speaker 1: assume that things are going to be humming along at 303 00:18:20,600 --> 00:18:23,080 Speaker 1: a at a sort of a happy place. And so 304 00:18:23,880 --> 00:18:26,879 Speaker 1: I do get worried about the prospect of another recession, 305 00:18:27,400 --> 00:18:30,680 Speaker 1: but that is not what these numbers are about it 306 00:18:31,040 --> 00:18:34,200 Speaker 1: right right, um, you know, how do you Before a break, 307 00:18:34,200 --> 00:18:39,480 Speaker 1: we talked about the not very encouraging future of print 308 00:18:39,520 --> 00:18:43,359 Speaker 1: journalism at least um so a newspaper, the newspaper and 309 00:18:43,440 --> 00:18:47,679 Speaker 1: periodicals industry is projected to lose more than one thousand 310 00:18:47,720 --> 00:18:51,520 Speaker 1: jobs over the next decade UM. For for people like 311 00:18:51,640 --> 00:18:57,439 Speaker 1: us who are in these potentially losing industries, UM, what 312 00:18:57,520 --> 00:19:00,560 Speaker 1: do you think we should be thinking about it? It 313 00:19:00,680 --> 00:19:04,040 Speaker 1: is tricky because you the well I keep saying things 314 00:19:04,080 --> 00:19:07,480 Speaker 1: evolved slowly, but there's some occupations and industries where things 315 00:19:07,520 --> 00:19:10,399 Speaker 1: are evolving quickly, and journalism in point of those. You 316 00:19:10,560 --> 00:19:14,159 Speaker 1: just see this, it's sort of lightning pace of the 317 00:19:14,240 --> 00:19:19,080 Speaker 1: way people absorb news just seems to be changing all 318 00:19:19,119 --> 00:19:22,160 Speaker 1: the time, really rapidly. But I think you just can 319 00:19:22,240 --> 00:19:25,359 Speaker 1: go back to we know they're still taking a news. 320 00:19:25,400 --> 00:19:28,280 Speaker 1: People are still really hungry for this information, and so 321 00:19:28,320 --> 00:19:30,919 Speaker 1: it will be out there. So the best advice is 322 00:19:31,000 --> 00:19:35,760 Speaker 1: to do what you're doing, experiment, be flexible, be you know, 323 00:19:35,840 --> 00:19:41,160 Speaker 1: sort of able to to um looking forward into how 324 00:19:41,200 --> 00:19:46,120 Speaker 1: people are consuming it and trying to go in that direction. Wonderful. Well, 325 00:19:46,160 --> 00:19:48,600 Speaker 1: thank you Heidi so much for joining us. It's been 326 00:19:48,640 --> 00:19:52,000 Speaker 1: great getting all this wonderful insight from you. It's been 327 00:19:52,040 --> 00:19:56,359 Speaker 1: my pleasure. Happy New Year, you guys, thanks again for 328 00:19:56,600 --> 00:19:59,400 Speaker 1: listening to Bloomberg Benchmark. We will be back next year 329 00:19:59,680 --> 00:20:02,520 Speaker 1: were and until then you can find us on the 330 00:20:02,520 --> 00:20:06,720 Speaker 1: Bloomberg Terminal and Bloomberg dot Com, as well as on iTunes, pocketcast, 331 00:20:06,920 --> 00:20:09,960 Speaker 1: stitch your Google Play, and while you're there, please take 332 00:20:10,000 --> 00:20:12,320 Speaker 1: a minute to rate and review the show. Some more 333 00:20:12,320 --> 00:20:14,480 Speaker 1: people can find us and let us know what you 334 00:20:14,560 --> 00:20:16,280 Speaker 1: thought of the show. You can talk to us and 335 00:20:16,359 --> 00:20:20,520 Speaker 1: follow us on Twitter at seven at Tori Stillwell and 336 00:20:20,840 --> 00:20:23,760 Speaker 1: at Daniel Moss DC. Happy New Year, We'll see you in. 337 00:20:30,640 --> 00:20:33,800 Speaker 1: We're proud of our new and growing suite of original podcasts, 338 00:20:33,880 --> 00:20:36,920 Speaker 1: all designed to help you navigate the complexities of business, 339 00:20:37,119 --> 00:20:41,320 Speaker 1: financial markets, and the global economy. In addition to Bloomberg Benchmark, 340 00:20:41,359 --> 00:20:44,359 Speaker 1: which you're listening to now, don't miss Odd Lots, a 341 00:20:44,440 --> 00:20:47,720 Speaker 1: deep dive into the intersection of markets, economics, and finance 342 00:20:47,760 --> 00:20:50,960 Speaker 1: with Joe Wisenhal and Tracy Alloway. There's also Deal the 343 00:20:51,000 --> 00:20:54,760 Speaker 1: Week with our mergers and Acquisitions reporter Alec Sherman, looking 344 00:20:54,800 --> 00:20:57,199 Speaker 1: at a breakdown of the biggest deals and giving you 345 00:20:57,240 --> 00:21:00,840 Speaker 1: an inside peek into corporate boardrooms. All three shows are 346 00:21:00,880 --> 00:21:05,640 Speaker 1: available on iTunes, SoundCloud, pocket casts for Android, Bloomberg dot Com, 347 00:21:05,720 --> 00:21:08,320 Speaker 1: and of course, the Bloomberg Terminal. Check them out and 348 00:21:08,359 --> 00:21:12,280 Speaker 1: subscribe today. This episode was brought to you by nate X. 349 00:21:12,400 --> 00:21:14,560 Speaker 1: You know any long term investment is going to go 350 00:21:14,600 --> 00:21:17,919 Speaker 1: through short term dips and price fluctuations. Nate X binary 351 00:21:17,960 --> 00:21:21,360 Speaker 1: options that you turn those short term movements into trading opportunities. 352 00:21:21,840 --> 00:21:24,560 Speaker 1: You decide your maximum profit and loss before each trade, 353 00:21:24,840 --> 00:21:27,880 Speaker 1: so your risk is always limited. Trade stock in dissees, 354 00:21:27,880 --> 00:21:31,440 Speaker 1: commodities for X, even bitcoin in economic numbers, all from 355 00:21:31,480 --> 00:21:35,720 Speaker 1: one account on a CFTC regulated US exchange. Instead of 356 00:21:35,760 --> 00:21:38,160 Speaker 1: just watching the markets ups and downs, turn them into 357 00:21:38,200 --> 00:21:41,840 Speaker 1: trading opportunities at nate x dot com. It's the future 358 00:21:41,880 --> 00:21:46,240 Speaker 1: of trading n A d e X, dot com, futures 359 00:21:46,280 --> 00:21:48,879 Speaker 1: options and swaps. Trading involves risk and may not be 360 00:21:48,920 --> 00:21:50,640 Speaker 1: appropriate for all investors.