1 00:00:00,080 --> 00:00:03,840 Speaker 1: Let's get to the labor story, because it has been 2 00:00:04,280 --> 00:00:08,119 Speaker 1: pervasive this year. Hollywood studios and actors are scheduled to 3 00:00:08,160 --> 00:00:13,080 Speaker 1: resume contract negotiations today. That follows the end of the 4 00:00:13,200 --> 00:00:17,599 Speaker 1: UAW United Auto Workers six week strike that costs the 5 00:00:17,600 --> 00:00:21,759 Speaker 1: Big three automakers supposedly two point nine billion dollars, but 6 00:00:21,880 --> 00:00:26,880 Speaker 1: got huge gains for the workers. At least I think 7 00:00:26,920 --> 00:00:29,600 Speaker 1: they're huge, you know, twenty five percent is the headline 8 00:00:29,680 --> 00:00:33,680 Speaker 1: figure that uaw's are going to be getting from gm 9 00:00:34,000 --> 00:00:38,960 Speaker 1: Ford and Stillantis, really record breaking wage hikes thanks to 10 00:00:39,680 --> 00:00:42,400 Speaker 1: the strikes and the new leadership. Let's talk about the 11 00:00:42,400 --> 00:00:46,200 Speaker 1: state of labor with the former US Labor Secretary, Robert 12 00:00:46,240 --> 00:00:50,480 Speaker 1: Reich currently University of California at Berkeley, professor. It's great 13 00:00:50,520 --> 00:00:52,000 Speaker 1: to get you on the program. Thanks so much for 14 00:00:52,040 --> 00:00:55,280 Speaker 1: your time, Professor. What do you make first of all 15 00:00:55,320 --> 00:00:58,360 Speaker 1: of the games we've seen out of the UAW, out 16 00:00:58,360 --> 00:01:02,800 Speaker 1: of the most recent negotiations with gm Ford and Stallantis. 17 00:01:03,720 --> 00:01:06,839 Speaker 2: Well, Matt, this agreement has not been ratified by members yet, 18 00:01:06,840 --> 00:01:11,399 Speaker 2: but it is groundbreaking, if not earth shattering, And I 19 00:01:11,480 --> 00:01:15,880 Speaker 2: say that because it marks a really substantial increase not 20 00:01:15,959 --> 00:01:20,240 Speaker 2: only in wages, cost of living, adjustments and a lot 21 00:01:20,280 --> 00:01:22,880 Speaker 2: of other things that well, if you had asked me 22 00:01:23,080 --> 00:01:26,520 Speaker 2: six months ago, I would say very unlikely that it 23 00:01:26,560 --> 00:01:30,440 Speaker 2: becomes part of the new bargain. And yet there it is, 24 00:01:30,600 --> 00:01:35,399 Speaker 2: and it's the Big three Stilantis, GM Ford I would expect, 25 00:01:35,600 --> 00:01:38,160 Speaker 2: And we can get into this if you want that 26 00:01:38,520 --> 00:01:41,720 Speaker 2: very very soon. We are going to see the UAW 27 00:01:42,400 --> 00:01:48,480 Speaker 2: targets Tesla and also the US divisions of some of 28 00:01:48,520 --> 00:01:52,800 Speaker 2: the foreign automakers like Hondo, Toyota and BMW. Yeah. 29 00:01:52,840 --> 00:01:55,560 Speaker 1: Well, I mean, how do you think they're going to 30 00:01:55,600 --> 00:02:00,840 Speaker 1: be seen by workers in those shops in the Carolina's 31 00:02:00,960 --> 00:02:05,600 Speaker 1: in California in Tennessee. Are they going to want the 32 00:02:05,640 --> 00:02:08,360 Speaker 1: same kind of gains and go to the union for 33 00:02:08,480 --> 00:02:10,679 Speaker 1: help or do you think those companies are going to 34 00:02:10,760 --> 00:02:13,360 Speaker 1: have to give workers raises in order to keep the 35 00:02:13,440 --> 00:02:14,519 Speaker 1: unions out. 36 00:02:15,160 --> 00:02:18,799 Speaker 2: Well, what we've seen historically is that when unions make 37 00:02:18,919 --> 00:02:22,920 Speaker 2: some progress in an industry, the non unionized shops in 38 00:02:22,960 --> 00:02:27,640 Speaker 2: that industry do tend to want to make defensive moves 39 00:02:27,720 --> 00:02:31,600 Speaker 2: that has provide wage increases and benefit increases to keep 40 00:02:31,639 --> 00:02:34,560 Speaker 2: the unions out. I don't know what's going to happen, 41 00:02:34,639 --> 00:02:39,440 Speaker 2: but undoubtedly the pressure is going to be increasing on 42 00:02:39,720 --> 00:02:44,000 Speaker 2: Tesla and Honda, Toyota and BMW in the United States. 43 00:02:44,240 --> 00:02:47,400 Speaker 3: Now, when it comes to productivity, which is an issue 44 00:02:47,480 --> 00:02:50,120 Speaker 3: in the United States, it's certainly an issue here in Canada. 45 00:02:50,160 --> 00:02:52,680 Speaker 3: We talked actually with the head of the union that 46 00:02:52,800 --> 00:02:56,840 Speaker 3: just represented the new automaker deals here in Canada today, 47 00:02:57,360 --> 00:03:01,240 Speaker 3: who had a conversation with our head Central Bank about, 48 00:03:01,680 --> 00:03:06,640 Speaker 3: in her opinion, the economic realities of productivity and how 49 00:03:06,680 --> 00:03:11,360 Speaker 3: it's measured today perhaps not fully recognizing the story of 50 00:03:12,120 --> 00:03:14,200 Speaker 3: the worker. And I know you've been thinking about that 51 00:03:14,240 --> 00:03:16,160 Speaker 3: as well in recent months. What more can you tell 52 00:03:16,200 --> 00:03:17,600 Speaker 3: us about your assessment on that front. 53 00:03:18,200 --> 00:03:21,919 Speaker 2: Well, generally speaking, just to stand back from the tumult 54 00:03:22,000 --> 00:03:26,400 Speaker 2: right now, predativity has been increasing. I think that a 55 00:03:26,480 --> 00:03:30,520 Speaker 2: lot of the measures we have used of productivity traditionally 56 00:03:30,840 --> 00:03:33,880 Speaker 2: don't quite work in the Internet age, with a lot 57 00:03:33,880 --> 00:03:37,160 Speaker 2: of the technology that workers surround themselves with. I don't 58 00:03:37,160 --> 00:03:39,880 Speaker 2: think there's any question that workers, whether we're talking about 59 00:03:39,920 --> 00:03:44,840 Speaker 2: auto workers or production workers, generally are substantially more productive 60 00:03:44,880 --> 00:03:47,960 Speaker 2: than they were, say, ten years ago, and yet their 61 00:03:48,080 --> 00:03:52,440 Speaker 2: wages have not really kept up. And that statement could 62 00:03:52,520 --> 00:03:56,240 Speaker 2: be not only the last ten years in terms of relevance. 63 00:03:56,600 --> 00:03:59,400 Speaker 2: But really the last forty years, if you look at 64 00:03:59,440 --> 00:04:05,240 Speaker 2: production workers and hourly workers, generally non supervisory workers, they 65 00:04:05,760 --> 00:04:11,280 Speaker 2: have experienced relatively stagnant wages adjusted for inflation. I think 66 00:04:11,720 --> 00:04:15,760 Speaker 2: that that has generated a kind of a very strong 67 00:04:16,440 --> 00:04:20,159 Speaker 2: built up desire on the part of workers and really 68 00:04:20,200 --> 00:04:23,440 Speaker 2: on the part of the public in general, to increase 69 00:04:23,560 --> 00:04:27,919 Speaker 2: the wages of these people. And we see the wages 70 00:04:27,960 --> 00:04:33,000 Speaker 2: have increased substantially. Well, even even post pandemic, there's been 71 00:04:33,360 --> 00:04:37,719 Speaker 2: an increase if you say, if you look at inflation 72 00:04:37,800 --> 00:04:42,240 Speaker 2: adjusted wages, but nowhere near what it would be had 73 00:04:42,440 --> 00:04:46,240 Speaker 2: wages kept up with productivity gains over the last ten 74 00:04:46,480 --> 00:04:47,560 Speaker 2: thirty forty years. 75 00:04:48,360 --> 00:04:51,120 Speaker 3: Now against that backdrop, and at a time when we 76 00:04:51,160 --> 00:04:55,760 Speaker 3: are seeing a fresh storyline around workers getting their fair share. 77 00:04:56,000 --> 00:04:58,080 Speaker 3: One of the other big narratives this year, which you've 78 00:04:58,080 --> 00:05:02,280 Speaker 3: commented on as well, is this AI transition. We have 79 00:05:02,360 --> 00:05:06,239 Speaker 3: new labor deals, yes, but what does this AI story 80 00:05:06,279 --> 00:05:10,080 Speaker 3: mean in terms of how many employees there are at 81 00:05:10,120 --> 00:05:14,040 Speaker 3: businesses and how this conversation productivity and worker pay is 82 00:05:14,120 --> 00:05:17,719 Speaker 3: going to come up in a world dominated by artificial intelligence. 83 00:05:19,520 --> 00:05:23,800 Speaker 2: I'm not a futurologist, Matt, but if we look at 84 00:05:24,760 --> 00:05:27,800 Speaker 2: the trends, the present trends, and I'm not talking about 85 00:05:27,800 --> 00:05:31,800 Speaker 2: I'm talking about everything from software to algorithms to new 86 00:05:31,920 --> 00:05:35,000 Speaker 2: kinds of labor saving devices, all the way through. What 87 00:05:35,240 --> 00:05:39,640 Speaker 2: ai've seems to promise there is going to be a 88 00:05:39,800 --> 00:05:44,280 Speaker 2: big issue not just for non supervisory workers hourly workers, 89 00:05:44,400 --> 00:05:49,560 Speaker 2: but also for all professionals across the board in terms 90 00:05:49,640 --> 00:05:52,680 Speaker 2: of their bargaining leverage. They're going to lose bargaining leverage. 91 00:05:53,360 --> 00:05:57,760 Speaker 2: Most of us and I included myself, professors, everybody who 92 00:05:58,400 --> 00:06:01,479 Speaker 2: is part of the knowledge economy, we are going to 93 00:06:01,600 --> 00:06:09,159 Speaker 2: be replicated and substitutable by artificial intelligence. Not immediately, but 94 00:06:09,320 --> 00:06:12,760 Speaker 2: certainly that looks like it is in the cards. AI 95 00:06:12,920 --> 00:06:15,839 Speaker 2: is not staying static. AI is getting better and better, 96 00:06:16,360 --> 00:06:20,760 Speaker 2: and yet human beings, human brains with regards to the 97 00:06:20,760 --> 00:06:25,080 Speaker 2: professional class, are not necessarily keeping up. And so I 98 00:06:25,080 --> 00:06:29,000 Speaker 2: wouldn't be surprised if, say, twenty years from now, most 99 00:06:29,040 --> 00:06:35,000 Speaker 2: of us were either working part time or dependent on 100 00:06:35,320 --> 00:06:41,800 Speaker 2: a universal basic income, or working in ways that really 101 00:06:41,880 --> 00:06:45,800 Speaker 2: made us vulnerable to kind of a spot auction market 102 00:06:46,000 --> 00:06:48,920 Speaker 2: in which are worth well we actually were earning at 103 00:06:48,920 --> 00:06:54,200 Speaker 2: any given time was dependent on the value that we 104 00:06:54,320 --> 00:06:58,240 Speaker 2: added at that moment, and that in turn dependent on 105 00:06:58,440 --> 00:07:03,560 Speaker 2: artificial intelligence. In other words, we could find ourselves, most 106 00:07:03,600 --> 00:07:07,120 Speaker 2: of us, working for what might be considered to be 107 00:07:07,240 --> 00:07:08,320 Speaker 2: artificial intelligence. 108 00:07:09,440 --> 00:07:12,360 Speaker 1: Great to get your insight. Really appreciate you joining us, 109 00:07:12,360 --> 00:07:14,679 Speaker 1: and I hope we can get you back. Robert Reich 110 00:07:14,760 --> 00:07:18,000 Speaker 1: their former US Labor secretary. Right now, he's a professor 111 00:07:18,240 --> 00:07:18,960 Speaker 1: at Berkeley