1 00:00:00,280 --> 00:00:07,200 Speaker 1: Bloomberg, Audio Studios, podcasts, radio news. 2 00:00:09,800 --> 00:00:12,119 Speaker 2: I get a lot of push alerts on my phone, 3 00:00:12,360 --> 00:00:14,840 Speaker 2: and over the last few weeks it seemed like many 4 00:00:14,840 --> 00:00:18,800 Speaker 2: of them were about layoffs. Amazon planning to cut thousands 5 00:00:18,800 --> 00:00:23,240 Speaker 2: of corporate workers. Target will be eliminating about eighteen hundred rules. 6 00:00:23,600 --> 00:00:27,000 Speaker 2: Other tech giants like Meta, Google and Intel have also 7 00:00:27,080 --> 00:00:30,840 Speaker 2: made cuts this year. Paramount Skydance expected to eliminate around 8 00:00:30,840 --> 00:00:34,920 Speaker 2: two thousand jobs in the US, with additional layoffs internationally. 9 00:00:36,479 --> 00:00:40,839 Speaker 2: From Amazon to Microsoft, Walmart to ups, US companies have 10 00:00:40,920 --> 00:00:44,920 Speaker 2: been slashing away at their workforces. Julia Fanzirez covers the 11 00:00:45,000 --> 00:00:47,879 Speaker 2: US economy for Bloomberg, and I asked her, is this 12 00:00:47,920 --> 00:00:50,000 Speaker 2: the kind of layoff spike that we often see at 13 00:00:50,000 --> 00:00:52,800 Speaker 2: this time of year, or is something else going on? 14 00:00:53,520 --> 00:00:56,200 Speaker 1: When you really look at it, it is not looking good. 15 00:00:56,280 --> 00:00:58,400 Speaker 1: It is some of the biggest job cuts at over 16 00:00:59,000 --> 00:01:01,720 Speaker 1: fifteen years. If you don't don't count the pandemic. 17 00:01:01,640 --> 00:01:05,559 Speaker 2: Employers and bankers and economists. Juliet talks to all of them, 18 00:01:05,800 --> 00:01:08,520 Speaker 2: and she's hearing again and again that these numbers could 19 00:01:08,600 --> 00:01:16,200 Speaker 2: be a sign that there's trouble ahead. I'm David Gerrett, 20 00:01:16,240 --> 00:01:18,839 Speaker 2: and this is the big take from Bloomberg News Today 21 00:01:18,840 --> 00:01:21,760 Speaker 2: on the show the Layoff Wave of twenty twenty five, 22 00:01:22,319 --> 00:01:24,600 Speaker 2: what it reveals about the state of the US economy 23 00:01:24,880 --> 00:01:27,120 Speaker 2: and what it means for the workers swept up in it. 24 00:01:30,600 --> 00:01:39,120 Speaker 2: And so far this year, US companies have announced layoffs 25 00:01:39,160 --> 00:01:42,600 Speaker 2: of nearly a million people. That's according to a report 26 00:01:42,600 --> 00:01:46,280 Speaker 2: from the outplacement firm Challenger, Gray and Christmas. The last 27 00:01:46,280 --> 00:01:48,480 Speaker 2: time the country saw layoff numbers that high was during 28 00:01:48,520 --> 00:01:52,360 Speaker 2: the COVID nineteen pandemic. Some of the bigger layoff headlines 29 00:01:52,480 --> 00:01:55,920 Speaker 2: have focused on cuts at tech companies, but the trend 30 00:01:56,000 --> 00:02:00,680 Speaker 2: goes beyond that. One industry UPS has cut workers, Lululemon 31 00:02:00,760 --> 00:02:04,480 Speaker 2: and Target. I asked Bloomberg's Julia Fanzerias, what's going on. 32 00:02:05,360 --> 00:02:07,800 Speaker 1: Each company is saying that there are specific reasons for 33 00:02:07,840 --> 00:02:10,120 Speaker 1: these layoffs. You know, in the government sector, a huge 34 00:02:10,120 --> 00:02:13,480 Speaker 1: reason is because of DOGE, while in other sectors, like 35 00:02:13,480 --> 00:02:16,840 Speaker 1: the tech sector, artificial intelligence has been driving it. But 36 00:02:16,960 --> 00:02:20,560 Speaker 1: it's all of these coming together around the same time 37 00:02:20,760 --> 00:02:23,400 Speaker 1: that is sending a warning sign to economists that more 38 00:02:23,600 --> 00:02:24,920 Speaker 1: is possibly to come. 39 00:02:26,880 --> 00:02:29,480 Speaker 2: Why are we seeing these layoffs now in the US economy? 40 00:02:29,680 --> 00:02:32,400 Speaker 1: The economy is slowing, the labor market is slowing, so 41 00:02:32,520 --> 00:02:34,919 Speaker 1: that is a fact, and even without the US government 42 00:02:35,000 --> 00:02:38,880 Speaker 1: data coming out, that has been clear. Additionally, because there 43 00:02:38,960 --> 00:02:43,600 Speaker 1: have been these tariffs and economic uncertainty and prices are rising, 44 00:02:44,040 --> 00:02:46,800 Speaker 1: companies are trying to then cut their costs by cutting 45 00:02:46,840 --> 00:02:49,919 Speaker 1: their workforce instead of increasing costs on consumers. So that's 46 00:02:49,960 --> 00:02:52,640 Speaker 1: another big reason. The third reason is there have been 47 00:02:52,639 --> 00:02:54,760 Speaker 1: a lot of mergers. You know, for Paramount, it was 48 00:02:54,800 --> 00:02:57,600 Speaker 1: the reason merger with sky Dance, and so each company 49 00:02:57,600 --> 00:03:00,680 Speaker 1: has a specific reason. But those are the macroeconomic background 50 00:03:00,800 --> 00:03:02,679 Speaker 1: contacts that is impacting those layoffs. 51 00:03:04,080 --> 00:03:06,280 Speaker 2: Kind of stepping back and looking at the impact of 52 00:03:06,320 --> 00:03:09,600 Speaker 2: these trade policies, it seems like a lot of these 53 00:03:09,600 --> 00:03:12,800 Speaker 2: companies have successfully kept those higher prices from being passed 54 00:03:12,840 --> 00:03:14,480 Speaker 2: on to consumers. And I wonder if you could kind 55 00:03:14,480 --> 00:03:18,640 Speaker 2: of dovetail that their efforts to keep prices lower on 56 00:03:18,680 --> 00:03:22,200 Speaker 2: store shelves with maybe what we're seeing here, is there 57 00:03:22,240 --> 00:03:24,840 Speaker 2: any kind of causality there they might be having to 58 00:03:24,840 --> 00:03:26,680 Speaker 2: look for cuts elsewhere as a result of them trying 59 00:03:26,720 --> 00:03:28,480 Speaker 2: to keep their cost down, their product costs down. 60 00:03:28,919 --> 00:03:31,520 Speaker 1: There is absolutely a causality there. They used to be 61 00:03:31,560 --> 00:03:34,400 Speaker 1: afraid of losing their employees, so they were labor hoarding 62 00:03:34,440 --> 00:03:36,320 Speaker 1: because from twenty twenty to twenty twenty two it was 63 00:03:36,520 --> 00:03:40,160 Speaker 1: very difficult to find workers. And now with higher prices, 64 00:03:40,200 --> 00:03:42,360 Speaker 1: they're being asked to make a decision. Either they increase 65 00:03:42,400 --> 00:03:45,200 Speaker 1: costs for consumers or they have to cut costs elsewhere. 66 00:03:45,360 --> 00:03:47,560 Speaker 1: And where are they going to cut costs? That's the workforce. 67 00:03:47,960 --> 00:03:50,120 Speaker 2: So we've talked about trade policy as a reason for 68 00:03:50,200 --> 00:03:53,920 Speaker 2: this happening, talked about kind of government priorities, how about AI. 69 00:03:54,000 --> 00:03:56,320 Speaker 2: I mean, this is like the overwhelming story and markets 70 00:03:56,480 --> 00:03:58,280 Speaker 2: and the economy, and I know it's gotten some blame 71 00:03:58,320 --> 00:04:00,280 Speaker 2: as well that maybe companies, as they reckon with what 72 00:04:00,320 --> 00:04:04,000 Speaker 2: that means for productivity, as they reckon with how much 73 00:04:04,040 --> 00:04:06,720 Speaker 2: capex they're going to have to do, maybe this is 74 00:04:06,760 --> 00:04:09,080 Speaker 2: a reason why we're seeing these layoffs. As you've looked 75 00:04:09,120 --> 00:04:10,840 Speaker 2: at the data and talked to experts, what do they 76 00:04:10,840 --> 00:04:13,440 Speaker 2: say about the role that this massive expenditure in AI 77 00:04:13,560 --> 00:04:14,760 Speaker 2: is having on the economy. 78 00:04:14,920 --> 00:04:16,760 Speaker 1: I think it's interesting because a lot of companies don't 79 00:04:16,760 --> 00:04:19,880 Speaker 1: want to necessarily point to AI being the reason for layoffs, 80 00:04:19,960 --> 00:04:22,960 Speaker 1: but economists can see these layoffs happening. Obviously, there are 81 00:04:23,000 --> 00:04:27,120 Speaker 1: other macroeconomic factors leading to this, but artificial intelligence has 82 00:04:27,200 --> 00:04:29,800 Speaker 1: really been one of the biggest ones, and so much 83 00:04:29,839 --> 00:04:33,200 Speaker 1: so that Federal Reserve hair pal had a question about 84 00:04:33,200 --> 00:04:35,560 Speaker 1: this and even discuss the fact that these layoffs were 85 00:04:35,640 --> 00:04:37,520 Speaker 1: large and that they would have to keep looking at 86 00:04:37,520 --> 00:04:40,320 Speaker 1: the impact of artificial intelligence into the US economy. 87 00:04:40,680 --> 00:04:42,640 Speaker 2: For many years, we've had this labor market where there 88 00:04:42,680 --> 00:04:44,720 Speaker 2: hasn't been a lot of churn, and that's been worrisome 89 00:04:44,760 --> 00:04:47,159 Speaker 2: to a lot of people. What does that say just 90 00:04:47,200 --> 00:04:49,479 Speaker 2: about the overall health of the labor market. I know 91 00:04:49,560 --> 00:04:51,560 Speaker 2: that we've seen the federalser have kind of focused more 92 00:04:51,600 --> 00:04:54,320 Speaker 2: intently now on the labor side of its dual mandate 93 00:04:54,640 --> 00:04:56,280 Speaker 2: against What does the job market tell us about the 94 00:04:56,320 --> 00:04:57,760 Speaker 2: health of the US economy more broadly? 95 00:04:58,000 --> 00:04:59,840 Speaker 1: You know, when people here that you know there is 96 00:05:00,000 --> 00:05:02,640 Speaker 1: low firing and then also low hiring, they think that 97 00:05:02,640 --> 00:05:04,480 Speaker 1: that's a good thing, but in reality it's not because 98 00:05:04,480 --> 00:05:06,520 Speaker 1: then people who are out of work are finding difficulty 99 00:05:06,560 --> 00:05:10,279 Speaker 1: getting into work. Younger employees, young workers are having a 100 00:05:10,279 --> 00:05:12,960 Speaker 1: difficulty climbing the corporate ladder because they're not able to 101 00:05:13,000 --> 00:05:17,320 Speaker 1: find other opportunities. And so the FED and economists are 102 00:05:17,400 --> 00:05:20,320 Speaker 1: very worried about this. Economy where there is low turn 103 00:05:20,400 --> 00:05:22,359 Speaker 1: and that is because that is a sign of a 104 00:05:22,400 --> 00:05:24,720 Speaker 1: cooling economy. As you said, the Federal Reserve has been 105 00:05:24,760 --> 00:05:27,400 Speaker 1: keeping an eye on the labor market mandate, and in 106 00:05:27,680 --> 00:05:30,920 Speaker 1: recent meetings Jerome Powell actually mentioned the laugh of something 107 00:05:30,960 --> 00:05:33,040 Speaker 1: they have to keep a close eye on. And even 108 00:05:33,080 --> 00:05:35,839 Speaker 1: though economists and the Fed don't have the data to 109 00:05:35,880 --> 00:05:38,800 Speaker 1: guide them to see if that is really impacting unemployment 110 00:05:38,880 --> 00:05:42,000 Speaker 1: levels and jobless claims on a numerical if it's actually 111 00:05:42,000 --> 00:05:44,440 Speaker 1: moving the needle. They have to keep a close eye 112 00:05:44,440 --> 00:05:46,920 Speaker 1: on this. And it is because of the fact that 113 00:05:47,320 --> 00:05:50,400 Speaker 1: now this low, higher, low fire environment might be switching 114 00:05:50,440 --> 00:05:54,240 Speaker 1: over to a low, higher, more fire environment. 115 00:05:55,279 --> 00:05:57,880 Speaker 2: Julia, As you look at these announcements, are we seeing 116 00:05:58,000 --> 00:06:00,720 Speaker 2: much from these companies about sort of what it might 117 00:06:00,839 --> 00:06:02,719 Speaker 2: or might not pretend for the future. In other words, 118 00:06:02,720 --> 00:06:05,120 Speaker 2: are they encouraging people to look at these in isolation, 119 00:06:05,360 --> 00:06:08,520 Speaker 2: or are they telling a kind of broader story about 120 00:06:08,560 --> 00:06:11,360 Speaker 2: the way it's reshaping their outlook on who they need 121 00:06:11,400 --> 00:06:13,040 Speaker 2: to have on staff, who they need to hire. 122 00:06:13,279 --> 00:06:15,719 Speaker 1: It's a little bit of both. They are not trying 123 00:06:15,760 --> 00:06:17,719 Speaker 1: to make it seem like these cuts will continue for 124 00:06:17,760 --> 00:06:19,760 Speaker 1: a long time. A lot of these companies. That's not 125 00:06:19,920 --> 00:06:22,039 Speaker 1: their goal. They're trying to say, oh, you know, this 126 00:06:22,160 --> 00:06:24,440 Speaker 1: is the end of the culling that we needed. This is, 127 00:06:24,520 --> 00:06:27,039 Speaker 1: you know, the end of the restructuring. But I also 128 00:06:27,040 --> 00:06:29,760 Speaker 1: think they are giving signs of where the jobs will 129 00:06:29,760 --> 00:06:32,000 Speaker 1: be in the future. They have specifically said, you know 130 00:06:32,080 --> 00:06:36,400 Speaker 1: that artificial intelligence has taken over chatbots customer service, They're 131 00:06:36,440 --> 00:06:39,080 Speaker 1: going to take over those entry level coding jobs. So 132 00:06:39,120 --> 00:06:42,520 Speaker 1: there are a lot of both. Elements of those messagings 133 00:06:42,640 --> 00:06:45,839 Speaker 1: are in these layoff conversations that companies are having. 134 00:06:48,360 --> 00:06:51,120 Speaker 2: Whatever reason these companies are giving for people on the 135 00:06:51,200 --> 00:06:55,120 Speaker 2: chopping block, layoffs or layoffs. So what's happening to all 136 00:06:55,120 --> 00:07:11,320 Speaker 2: those workers who've lost their jobs? That's next in the 137 00:07:11,320 --> 00:07:14,840 Speaker 2: midst of the government shutdown. It's impossible to know exactly 138 00:07:14,880 --> 00:07:17,400 Speaker 2: how many people have become unemployed so far this year, 139 00:07:18,080 --> 00:07:20,760 Speaker 2: but private sector estimates place that number at close to 140 00:07:20,800 --> 00:07:24,080 Speaker 2: a million. I asked Bloomberg's Julia Fanzera, is what the 141 00:07:24,160 --> 00:07:25,520 Speaker 2: job market looks like for them? 142 00:07:26,240 --> 00:07:28,600 Speaker 1: These employees who have been laid off are having such 143 00:07:28,640 --> 00:07:31,960 Speaker 1: difficulty re entering the labor market. It can take months, 144 00:07:32,120 --> 00:07:36,000 Speaker 1: oftentimes over a year to find another job and these 145 00:07:36,040 --> 00:07:38,000 Speaker 1: workers are out of a job now, they're looking for 146 00:07:38,240 --> 00:07:43,080 Speaker 1: sometimes temporary, seasonal jobs and jobs that necessarily they wouldn't 147 00:07:43,120 --> 00:07:45,440 Speaker 1: have considered, but because they have no other options. And 148 00:07:45,480 --> 00:07:48,240 Speaker 1: I think that is also where the feed is very concerned, 149 00:07:48,280 --> 00:07:51,160 Speaker 1: because again, while low higher low fire might seem like 150 00:07:51,200 --> 00:07:53,360 Speaker 1: a good thing, it is these workers who are left 151 00:07:53,440 --> 00:07:55,760 Speaker 1: out of the labor market who are finding difficulty getting 152 00:07:55,800 --> 00:07:56,880 Speaker 1: back in Julia. 153 00:07:56,920 --> 00:07:59,480 Speaker 2: How is that manifesting itself in the survey data that 154 00:07:59,520 --> 00:07:59,960 Speaker 2: we've seen. 155 00:08:00,480 --> 00:08:05,160 Speaker 1: The recent consumer confidence survey was really showing that employees 156 00:08:05,200 --> 00:08:08,560 Speaker 1: aren't concerned and confidence. Consumer confidence in general in the 157 00:08:08,600 --> 00:08:11,280 Speaker 1: economy has you know, waned quite a bit, even though 158 00:08:11,280 --> 00:08:15,080 Speaker 1: it has necessarily trickled over to consumer spending. The confidence 159 00:08:15,120 --> 00:08:17,760 Speaker 1: that consumers have on the economy has dwindled, and these 160 00:08:18,000 --> 00:08:22,600 Speaker 1: workers increasingly are seeing the economy as harder place to 161 00:08:22,640 --> 00:08:23,200 Speaker 1: find a job. 162 00:08:23,600 --> 00:08:25,120 Speaker 2: It was like a year ago we were talking a 163 00:08:25,160 --> 00:08:28,200 Speaker 2: lot about this being a really tight labor market. It 164 00:08:28,240 --> 00:08:30,600 Speaker 2: was very much a worker's job market. You kind of 165 00:08:30,640 --> 00:08:33,280 Speaker 2: ask for more money, be more choosy about the jobs 166 00:08:33,280 --> 00:08:34,920 Speaker 2: you wanted to take or where you wanted to stay, 167 00:08:35,280 --> 00:08:38,040 Speaker 2: races you could ask for. Now it sounds like we're 168 00:08:38,040 --> 00:08:41,280 Speaker 2: seeing this change underway, and I'm curious just at a 169 00:08:41,280 --> 00:08:44,559 Speaker 2: macro level what that means both for companies and for workers. 170 00:08:44,800 --> 00:08:47,880 Speaker 1: Yeah, workers are very much no longer in the driver's seed. Actually, 171 00:08:48,559 --> 00:08:52,400 Speaker 1: some recent data shows that, you know, worker pay increase 172 00:08:52,480 --> 00:08:56,160 Speaker 1: has slowed much, much, much more than anticipated. Especially young 173 00:08:56,200 --> 00:08:59,480 Speaker 1: workers are seeing some of like the slowest gains in 174 00:08:59,520 --> 00:09:01,920 Speaker 1: their pay increases, which is going to set them back 175 00:09:01,960 --> 00:09:05,600 Speaker 1: because this is already a generation that was less likely 176 00:09:05,640 --> 00:09:08,200 Speaker 1: to own a house, They have less investments in the 177 00:09:08,200 --> 00:09:10,520 Speaker 1: stock market, and so that's going to set them back 178 00:09:10,559 --> 00:09:13,680 Speaker 1: financially for quite a bit. But that is the difficulty. 179 00:09:13,720 --> 00:09:15,679 Speaker 1: Also is that you know, this is no longer a 180 00:09:15,960 --> 00:09:19,560 Speaker 1: worker's environment. They're really feeling this, and the wage growth 181 00:09:19,600 --> 00:09:23,240 Speaker 1: sometimes is barely barely barely keeping up with inflation. 182 00:09:23,840 --> 00:09:26,120 Speaker 2: I want to ask you lastly, when the US government 183 00:09:26,240 --> 00:09:29,280 Speaker 2: does reopen and we begin to get these data and 184 00:09:29,320 --> 00:09:32,440 Speaker 2: reports more regularly, again, what's the what's the one that 185 00:09:32,440 --> 00:09:34,760 Speaker 2: you're most eager to see as you continue to do 186 00:09:34,800 --> 00:09:36,280 Speaker 2: this reporting on the labor market. 187 00:09:36,520 --> 00:09:38,600 Speaker 1: Oh, I'm most eager to see the jobs report. I 188 00:09:38,600 --> 00:09:41,560 Speaker 1: think that's and that's really shifted in the past week. 189 00:09:41,600 --> 00:09:45,000 Speaker 1: I would say with these layoffs before the inflation report 190 00:09:45,080 --> 00:09:47,400 Speaker 1: was really the highlight. Everyone was very concerned, how are 191 00:09:47,400 --> 00:09:50,360 Speaker 1: they going to collect, you know, October prices because they 192 00:09:50,400 --> 00:09:53,040 Speaker 1: need those people in person going to brick and mortar 193 00:09:53,040 --> 00:09:56,160 Speaker 1: stores to collect those prices. But as these layoffs have 194 00:09:56,240 --> 00:09:59,160 Speaker 1: become a bigger story, there have been more headlines. Now 195 00:09:59,200 --> 00:10:02,160 Speaker 1: that jobs report is going to be very important and 196 00:10:02,280 --> 00:10:04,439 Speaker 1: seeing how that is going to impact the economy, that's 197 00:10:04,440 --> 00:10:05,840 Speaker 1: the one I'm most looking forward to. 198 00:10:12,480 --> 00:10:14,959 Speaker 2: This is the Big Take from Bloomberg News. I'm David Gura. 199 00:10:15,480 --> 00:10:17,760 Speaker 2: To get more from The Big Take and unlimited access 200 00:10:17,760 --> 00:10:20,880 Speaker 2: to all of Bloomberg dot com, subscribe today at Bloomberg 201 00:10:20,920 --> 00:10:24,640 Speaker 2: dot com slash podcast offer. If you liked this episode, 202 00:10:24,760 --> 00:10:26,839 Speaker 2: make sure to follow and review The Big Take wherever 203 00:10:26,880 --> 00:10:29,360 Speaker 2: you listen to podcasts. It helps people find the show. 204 00:10:29,880 --> 00:10:31,840 Speaker 2: Thanks for listening. We'll be back tomorrow