1 00:00:03,120 --> 00:00:07,440 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,600 --> 00:00:13,400 Speaker 2: Do you believe in ghosts because they're not just hanging 3 00:00:13,400 --> 00:00:17,160 Speaker 2: out in our creepiatics anymore. Ghosts have started to show 4 00:00:17,239 --> 00:00:19,000 Speaker 2: up in the job market. 5 00:00:19,079 --> 00:00:21,400 Speaker 3: Why does it feel like it's absolutely impossible to get 6 00:00:21,400 --> 00:00:22,160 Speaker 3: a job right now? 7 00:00:22,280 --> 00:00:27,680 Speaker 1: Companies are posting more fake job openings. Unfortunately, just like tender, 8 00:00:27,800 --> 00:00:28,800 Speaker 1: you're getting ghosted. 9 00:00:28,920 --> 00:00:31,960 Speaker 3: This means thousands of people, probably you, at some point, 10 00:00:32,200 --> 00:00:35,600 Speaker 3: will apply to a job online for absolutely no reason 11 00:00:35,760 --> 00:00:38,280 Speaker 3: and not here back, thinking it's your fault when it's not. 12 00:00:38,920 --> 00:00:40,920 Speaker 2: For months now, there have been a bunch of these 13 00:00:40,960 --> 00:00:44,880 Speaker 2: posts from job seekers complaining about so called ghost jobs. 14 00:00:45,320 --> 00:00:49,080 Speaker 2: These are jobs that companies advertise and post online, luring 15 00:00:49,120 --> 00:00:54,200 Speaker 2: in unsuspecting applicants, only to have those jobs disappear without 16 00:00:54,200 --> 00:00:58,280 Speaker 2: a trace. Ghost jobs have been haunting the job market 17 00:00:58,320 --> 00:01:00,520 Speaker 2: for a while, but now they seem to be showing 18 00:01:00,600 --> 00:01:03,680 Speaker 2: up in the data. A recent job market report showed 19 00:01:03,680 --> 00:01:06,959 Speaker 2: the number of jobs posted by companies was far higher 20 00:01:07,000 --> 00:01:10,400 Speaker 2: than the number of people actually being hired, and in May, 21 00:01:10,560 --> 00:01:14,119 Speaker 2: an online resource for job seekers asked over sixteen hundred 22 00:01:14,160 --> 00:01:18,679 Speaker 2: hiring managers whether their companies had listed ghost jobs. Stacy 23 00:01:18,720 --> 00:01:22,040 Speaker 2: Haller is the chief career advisor at resume Builder. She 24 00:01:22,160 --> 00:01:23,520 Speaker 2: told us what they found. 25 00:01:23,600 --> 00:01:27,080 Speaker 1: About thirty percent told us they currently have fake job postings. 26 00:01:27,520 --> 00:01:31,520 Speaker 1: Thirty percent is way too many. Forty percent said to 27 00:01:31,640 --> 00:01:33,679 Speaker 1: us they did it at some point during this year. 28 00:01:34,280 --> 00:01:34,960 Speaker 1: That's a lot. 29 00:01:35,640 --> 00:01:38,800 Speaker 2: But why would companies do this? Why would they post 30 00:01:38,959 --> 00:01:41,240 Speaker 2: jobs that don't exist. 31 00:01:43,440 --> 00:01:43,759 Speaker 3: Today? 32 00:01:43,760 --> 00:01:47,240 Speaker 2: On the show We Go ghost Job Hunting, we take 33 00:01:47,240 --> 00:01:50,560 Speaker 2: a look at the strange phenomenon, why it's happening, and 34 00:01:50,600 --> 00:01:52,960 Speaker 2: what all of the recent sightings can tell us about 35 00:01:53,000 --> 00:01:56,320 Speaker 2: what's going on in the economy. This is the big take. 36 00:01:56,680 --> 00:02:04,640 Speaker 2: I'm Sarah Holder. To get to the bottom of the 37 00:02:04,680 --> 00:02:08,000 Speaker 2: ghost jobs mystery, I called up Molly Smith. She's an 38 00:02:08,120 --> 00:02:10,960 Speaker 2: editor on the US Economy team at Bloomberg who started 39 00:02:11,000 --> 00:02:14,240 Speaker 2: investigating this trend last year. So, Molly, what is a 40 00:02:14,240 --> 00:02:14,919 Speaker 2: ghost job? 41 00:02:15,360 --> 00:02:17,680 Speaker 3: So think about how you hear about this. A lot 42 00:02:17,680 --> 00:02:21,000 Speaker 3: in dating, right that people get ghosted on these dating apps, 43 00:02:21,000 --> 00:02:23,400 Speaker 3: that you maybe reach out to a person and you 44 00:02:23,480 --> 00:02:26,200 Speaker 3: never hear back from them again. It's kind of like that, 45 00:02:26,400 --> 00:02:30,240 Speaker 3: except in a job posting. There are these jobs that 46 00:02:30,280 --> 00:02:34,000 Speaker 3: people are applying to online and are not hearing back 47 00:02:34,040 --> 00:02:36,600 Speaker 3: from the recruiter. It doesn't seem like there's a real 48 00:02:36,639 --> 00:02:39,679 Speaker 3: intent to hire, or at least an urgent one. It's 49 00:02:39,680 --> 00:02:42,280 Speaker 3: been really frustrating a lot of job seekers. They feel 50 00:02:42,280 --> 00:02:44,960 Speaker 3: like they're being gas lit and that these postings are 51 00:02:44,960 --> 00:02:47,359 Speaker 3: out there and that they're just not really genuine from 52 00:02:47,400 --> 00:02:48,839 Speaker 3: the companies that are posting them. 53 00:02:49,000 --> 00:02:51,040 Speaker 2: So it's not just that these jobs are ghost jobs, 54 00:02:51,080 --> 00:02:53,519 Speaker 2: they're literally ghosting applicants. 55 00:02:53,800 --> 00:02:54,760 Speaker 3: Yes, exactly. 56 00:02:55,560 --> 00:02:58,400 Speaker 2: When Molly first got interested in the phenomenon, she started 57 00:02:58,440 --> 00:03:01,600 Speaker 2: by looking at the data, in this case government data 58 00:03:01,720 --> 00:03:04,600 Speaker 2: the tracks how many job openings there are in the economy. 59 00:03:05,320 --> 00:03:08,720 Speaker 2: In twenty twenty two, the number peaked at twelve million 60 00:03:08,840 --> 00:03:12,639 Speaker 2: job openings, and it's still elevated, hovering around eight million 61 00:03:12,720 --> 00:03:15,760 Speaker 2: job openings. But that didn't seem to line up with 62 00:03:15,880 --> 00:03:20,480 Speaker 2: the vibes, which made people wonder was this number overstating 63 00:03:20,680 --> 00:03:22,720 Speaker 2: just how strong the labor market was. 64 00:03:23,280 --> 00:03:27,480 Speaker 3: We started hearing anecdotally of people who were applying for 65 00:03:27,560 --> 00:03:32,320 Speaker 3: these jobs and just getting these wild responses. There was 66 00:03:32,400 --> 00:03:35,640 Speaker 3: somebody we saw in a Reddit thread on jobs saying 67 00:03:35,680 --> 00:03:38,760 Speaker 3: they had applied to a position for a local grocery 68 00:03:38,800 --> 00:03:42,640 Speaker 3: store online, got rejected in the same day, and then 69 00:03:42,680 --> 00:03:45,560 Speaker 3: went into the store to ask what happened, and they said, Oh, 70 00:03:45,600 --> 00:03:48,680 Speaker 3: we're not actually hiring right now, we're just getting some 71 00:03:48,800 --> 00:03:52,560 Speaker 3: applicants together. Why you know, this seems to be like, 72 00:03:52,600 --> 00:03:55,640 Speaker 3: from what some recruiters have told us, an explicit tactic 73 00:03:55,800 --> 00:03:59,720 Speaker 3: that recruiters will do in order to generate a pool 74 00:03:59,760 --> 00:04:03,320 Speaker 3: of applicants for when a position does actually become available. 75 00:04:03,480 --> 00:04:05,320 Speaker 3: So it's something that you can do in advance to 76 00:04:05,400 --> 00:04:07,960 Speaker 3: maybe start filtering, and then when that need is real 77 00:04:08,040 --> 00:04:11,320 Speaker 3: and when it is urgent, you already have a whole 78 00:04:11,320 --> 00:04:12,680 Speaker 3: lot of people to choose from. 79 00:04:13,000 --> 00:04:15,680 Speaker 2: So seeing who's out there collecting their resumes but not 80 00:04:15,720 --> 00:04:18,560 Speaker 2: actually planning on giving a job to anyone until the 81 00:04:18,560 --> 00:04:22,839 Speaker 2: employer is ready exactly, let's give companies the benefit of 82 00:04:22,839 --> 00:04:24,960 Speaker 2: the doubt. What are some of the sort of non 83 00:04:25,080 --> 00:04:29,240 Speaker 2: sinister reasons why they might be posting ghost jobs. 84 00:04:29,560 --> 00:04:31,880 Speaker 3: We talked to a lot of recruiters about this, and 85 00:04:32,240 --> 00:04:35,000 Speaker 3: I think we've all seen what job hostings are like online. 86 00:04:35,000 --> 00:04:37,599 Speaker 3: It's pretty easy to fire off your resume and send 87 00:04:37,640 --> 00:04:40,680 Speaker 3: off a ton of applications at want and recruiters will 88 00:04:40,680 --> 00:04:43,560 Speaker 3: say that they've just been anundated with so many that 89 00:04:43,600 --> 00:04:47,000 Speaker 3: it isn't humanly possible for them to reply to all 90 00:04:47,040 --> 00:04:48,640 Speaker 3: the applications that they've received. 91 00:04:49,120 --> 00:04:51,640 Speaker 2: Is there also a situation where some of these job 92 00:04:51,680 --> 00:04:54,920 Speaker 2: sites are leaving up jobs after they've been filled, Like, 93 00:04:55,080 --> 00:04:58,200 Speaker 2: are sites like LinkedIn and indeed really up to date 94 00:04:58,240 --> 00:05:00,480 Speaker 2: on what kinds of jobs they're advertising. 95 00:05:01,200 --> 00:05:03,200 Speaker 3: So we talked to all of the platforms when we 96 00:05:03,200 --> 00:05:06,120 Speaker 3: were reporting this story about a year ago, and it's 97 00:05:06,120 --> 00:05:09,480 Speaker 3: interesting because we heard from Indeed that these ghost postings 98 00:05:09,560 --> 00:05:11,719 Speaker 3: are not an issue, but then they also said that 99 00:05:11,760 --> 00:05:15,360 Speaker 3: they remove tens of millions of them every month, So 100 00:05:15,480 --> 00:05:19,120 Speaker 3: it's like, okay, so which what is it. Some of 101 00:05:19,160 --> 00:05:22,240 Speaker 3: these postings can also be a bit duplicative. It seems 102 00:05:22,320 --> 00:05:25,640 Speaker 3: like I've seen some companies where you're hiring for a position, 103 00:05:25,720 --> 00:05:28,440 Speaker 3: but it could be filled in potentially three different regions, 104 00:05:28,680 --> 00:05:32,280 Speaker 3: and that represents three individual job postings even though it's 105 00:05:32,360 --> 00:05:35,479 Speaker 3: really just one job. So that could also be a 106 00:05:35,480 --> 00:05:37,880 Speaker 3: bit misleading. Then when you're looking at Wow, there's like 107 00:05:37,960 --> 00:05:41,000 Speaker 3: so many job openings in the economy, but maybe not 108 00:05:41,160 --> 00:05:44,480 Speaker 3: all of them are really individually different. 109 00:05:44,880 --> 00:05:47,640 Speaker 2: But there are also some other reasons being thrown around 110 00:05:47,720 --> 00:05:50,880 Speaker 2: for why we're seeing these ghost jobs that do seem 111 00:05:51,000 --> 00:05:53,480 Speaker 2: a little bit shady or at least end up making 112 00:05:53,560 --> 00:05:57,479 Speaker 2: job applicants feel gas lit, like those recruiters who admitted 113 00:05:57,480 --> 00:06:00,440 Speaker 2: to posting jobs they weren't actually hiring for just to 114 00:06:00,480 --> 00:06:03,520 Speaker 2: build up a pool of resumes for the future. That's 115 00:06:03,680 --> 00:06:06,479 Speaker 2: just one reason to post a job. I asked Molly 116 00:06:06,640 --> 00:06:11,839 Speaker 2: about another scenario, what about internal hires. I've definitely seen 117 00:06:12,240 --> 00:06:16,039 Speaker 2: jobs posted that end up getting taken down really quickly 118 00:06:16,600 --> 00:06:20,479 Speaker 2: and later learn that the job has been given to 119 00:06:20,480 --> 00:06:21,480 Speaker 2: an internal candidate. 120 00:06:21,960 --> 00:06:25,960 Speaker 3: So recruiters have told us that some postings need to 121 00:06:26,080 --> 00:06:30,120 Speaker 3: be available externally as well, in order to ensure that 122 00:06:30,160 --> 00:06:34,000 Speaker 3: the posting was fair, that they fully vetted a diverse 123 00:06:34,080 --> 00:06:38,000 Speaker 3: pool of candidates, and that it didn't exclude people because 124 00:06:38,040 --> 00:06:40,560 Speaker 3: they are external, and that you're really just getting the 125 00:06:40,600 --> 00:06:45,120 Speaker 3: widest pool available. But oftentimes a lot of job postings 126 00:06:45,279 --> 00:06:50,920 Speaker 3: may live on an internal company's portal for perhaps several weeks, 127 00:06:50,960 --> 00:06:54,599 Speaker 3: maybe a month, and then we'll be posted externally in 128 00:06:54,680 --> 00:06:57,760 Speaker 3: that time, though it's very possible that the job already 129 00:06:57,760 --> 00:07:00,440 Speaker 3: could have been filled and then it's only being posted 130 00:07:00,520 --> 00:07:02,640 Speaker 3: externally to give the appearance. 131 00:07:03,080 --> 00:07:03,960 Speaker 1: I guess that it. 132 00:07:03,960 --> 00:07:07,600 Speaker 3: Was posted fairly and given everybody a chance, even if 133 00:07:07,640 --> 00:07:09,880 Speaker 3: the decision had already been made at that point. 134 00:07:10,080 --> 00:07:11,120 Speaker 2: So it's about optics. 135 00:07:11,600 --> 00:07:13,120 Speaker 3: Yeah, that's one way of putting it. 136 00:07:13,560 --> 00:07:16,560 Speaker 2: We asked Stacy Haller at resume Builder what she'd heard 137 00:07:16,600 --> 00:07:19,240 Speaker 2: from the hiring managers they surveyed in that may report, 138 00:07:19,920 --> 00:07:23,520 Speaker 2: and those managers admitted optics are a big part of it. 139 00:07:23,920 --> 00:07:26,720 Speaker 1: So what they told us was many of them are 140 00:07:26,760 --> 00:07:29,440 Speaker 1: posting jobs, so they're on employees feel like, oh, we're 141 00:07:29,520 --> 00:07:31,600 Speaker 1: hiring more and you won't have to work so hard. 142 00:07:32,120 --> 00:07:35,360 Speaker 1: The workers are coming into the rescue, or they're telling 143 00:07:35,400 --> 00:07:37,320 Speaker 1: us they want you to believe the company is growing 144 00:07:37,480 --> 00:07:39,640 Speaker 1: and expanding when it's not. 145 00:07:40,520 --> 00:07:43,440 Speaker 2: Resume builders survey had a limited sample size and it 146 00:07:43,520 --> 00:07:46,760 Speaker 2: relied on hiring managers willing to self report their reasons 147 00:07:46,760 --> 00:07:50,560 Speaker 2: for posting ghost jobs. When it comes to official comprehensive 148 00:07:50,640 --> 00:07:53,360 Speaker 2: data on all this, there's a statistic that the Federal 149 00:07:53,400 --> 00:07:56,360 Speaker 2: Reserve uses to gauge the strength of the labor market. 150 00:07:56,760 --> 00:07:59,480 Speaker 2: It's called the Jolts Report for the Job Openings and 151 00:07:59,560 --> 00:08:03,200 Speaker 2: Labored Turnover Survey. Here's Bloomberg's Molly Smith again. 152 00:08:03,720 --> 00:08:07,360 Speaker 3: This is a survey that comes from the Bureau of 153 00:08:07,440 --> 00:08:11,280 Speaker 3: Labor Statistics that measures how many job openings there are 154 00:08:11,320 --> 00:08:13,680 Speaker 3: in the economy in a given month, and a lot 155 00:08:13,680 --> 00:08:17,000 Speaker 3: of economists we're thinking that it was just overstating how 156 00:08:17,040 --> 00:08:18,280 Speaker 3: strong the labor market is. 157 00:08:18,840 --> 00:08:22,360 Speaker 2: So molly as a self appointed ghost jobs buster called 158 00:08:22,440 --> 00:08:25,120 Speaker 2: up someone at the Bureau of Labor Statistics who's been 159 00:08:25,160 --> 00:08:27,760 Speaker 2: working on the jolt survey for over twenty years. 160 00:08:28,000 --> 00:08:30,840 Speaker 3: He actually provided a lot of great insight that really 161 00:08:30,920 --> 00:08:33,959 Speaker 3: stands more to the integrity of the jolt data and 162 00:08:34,080 --> 00:08:37,760 Speaker 3: saying how vetted these firms are, that this is a 163 00:08:37,800 --> 00:08:41,800 Speaker 3: survey of twenty one thousand business establishments, it's not scraping 164 00:08:41,840 --> 00:08:45,040 Speaker 3: online job postings, and that there's also some follow up 165 00:08:45,080 --> 00:08:48,240 Speaker 3: that's done to see, well, what is the hiring like 166 00:08:48,280 --> 00:08:51,000 Speaker 3: at these companies. You know, they can't verify that every 167 00:08:51,040 --> 00:08:53,680 Speaker 3: posting leads to an actual hire, but if there's a 168 00:08:53,720 --> 00:08:56,360 Speaker 3: big deviation between the two, they look at that and 169 00:08:56,400 --> 00:08:58,880 Speaker 3: they will pick out the numbers that don't mesh together. 170 00:08:59,160 --> 00:09:02,040 Speaker 3: And something else the joltz data does too, is that 171 00:09:02,320 --> 00:09:05,560 Speaker 3: in order to be considered active, a posting needs to 172 00:09:05,640 --> 00:09:08,760 Speaker 3: have the intent to hire within thirty days. The real 173 00:09:08,800 --> 00:09:11,640 Speaker 3: issues seem to be more with these posts that are online, 174 00:09:11,880 --> 00:09:15,199 Speaker 3: that the vetting process is maybe not as strong as 175 00:09:15,240 --> 00:09:18,200 Speaker 3: what the Bureau of Labor Statistics does and well, if 176 00:09:18,240 --> 00:09:21,480 Speaker 3: these companies that the job posts are usually listed on, 177 00:09:21,559 --> 00:09:25,480 Speaker 3: whether it's LinkedIn indeed is a recruiter. They have guidelines 178 00:09:25,559 --> 00:09:29,560 Speaker 3: that are meant to filter these things out, but it 179 00:09:29,600 --> 00:09:32,160 Speaker 3: seems like there are posts that inevitably do fall through 180 00:09:32,160 --> 00:09:32,679 Speaker 3: the cracks. 181 00:09:34,640 --> 00:09:38,240 Speaker 2: But ghost jobs are haunting more than just internet job boards. 182 00:09:38,600 --> 00:09:42,000 Speaker 2: If they're discouraging for job seekers, they're also frustrating to 183 00:09:42,080 --> 00:09:45,600 Speaker 2: everyone from policymakers to business owners trying to get a 184 00:09:45,640 --> 00:09:48,520 Speaker 2: sense of how well the economy is doing. We get 185 00:09:48,520 --> 00:09:59,040 Speaker 2: into all that after the break, so we know what 186 00:09:59,080 --> 00:10:02,600 Speaker 2: these ghost jobs mean for everyday workers trying to apply 187 00:10:02,679 --> 00:10:08,000 Speaker 2: for a job. It means frustration, disappointment, sometimes confusion. But 188 00:10:08,080 --> 00:10:10,559 Speaker 2: what does the existence of these ghost jobs mean about 189 00:10:10,600 --> 00:10:12,239 Speaker 2: the job market overall? 190 00:10:12,679 --> 00:10:15,760 Speaker 3: Yeah, so it's tough to make an inference about the 191 00:10:15,800 --> 00:10:18,120 Speaker 3: whole economy from this, but I guess like if we're 192 00:10:18,160 --> 00:10:20,600 Speaker 3: looking at just the data that's out there, that we 193 00:10:20,640 --> 00:10:24,440 Speaker 3: can still say that demand for workers is strong, that yes, 194 00:10:24,480 --> 00:10:27,240 Speaker 3: the unemployment rate has been rising in recent months, but 195 00:10:27,600 --> 00:10:31,079 Speaker 3: it's at four point one percent that's still historically very low. 196 00:10:31,400 --> 00:10:34,640 Speaker 2: The latest job's numbers will be released on Friday, including 197 00:10:34,679 --> 00:10:37,560 Speaker 2: the unemployment rate, and all eyes will be on it. 198 00:10:38,240 --> 00:10:41,000 Speaker 2: If that unemployment rate rises like it did last month, 199 00:10:41,200 --> 00:10:44,920 Speaker 2: it could mean the job market is starting to sour already. 200 00:10:44,920 --> 00:10:48,560 Speaker 2: We saw some worrying numbers on Thursday. Weekly jobless claims 201 00:10:48,640 --> 00:10:51,520 Speaker 2: rose more than expected to their highest level in nearly 202 00:10:51,559 --> 00:10:55,480 Speaker 2: a year. And according to Molly, there's another even wonkier 203 00:10:55,559 --> 00:10:57,600 Speaker 2: data point economists are paying attention to. 204 00:10:57,960 --> 00:11:00,280 Speaker 3: There's this ratio that we look at how how many 205 00:11:00,360 --> 00:11:04,040 Speaker 3: job openings are there for every unemployed worker aka how 206 00:11:04,040 --> 00:11:06,560 Speaker 3: many postings are there for every person whom I want 207 00:11:06,600 --> 00:11:09,000 Speaker 3: a job? And right now that ratio is at one 208 00:11:09,000 --> 00:11:11,720 Speaker 3: point two. This is more in line with the job 209 00:11:11,720 --> 00:11:14,600 Speaker 3: market we saw in twenty nineteen, and that it's not 210 00:11:14,760 --> 00:11:17,959 Speaker 3: the crazy tight job market that we saw in twenty 211 00:11:18,040 --> 00:11:21,280 Speaker 3: twenty two, where there were two jobs for every unemployed person. 212 00:11:21,760 --> 00:11:24,000 Speaker 2: So the job market isn't as tight as it was, 213 00:11:24,520 --> 00:11:26,240 Speaker 2: which might be a good thing when it comes to 214 00:11:26,280 --> 00:11:29,760 Speaker 2: reining in wage growth and inflation, but it's not great 215 00:11:29,800 --> 00:11:30,480 Speaker 2: for workers. 216 00:11:30,880 --> 00:11:34,199 Speaker 3: I mean for workers, it can certainly be frustrating because 217 00:11:34,240 --> 00:11:37,640 Speaker 3: in that environment you were getting these historic wage gains. 218 00:11:37,760 --> 00:11:39,960 Speaker 3: Pay is not going up by nearly as much now 219 00:11:40,000 --> 00:11:42,400 Speaker 3: as it was then. But again, it's not like the 220 00:11:42,480 --> 00:11:45,000 Speaker 3: job market has fallen off a cliff. We've just gone 221 00:11:45,040 --> 00:11:48,320 Speaker 3: from an extremely, extremely hot one to still a really 222 00:11:48,360 --> 00:11:48,880 Speaker 3: good one. 223 00:11:49,080 --> 00:11:51,679 Speaker 2: What has changed is who has the power in the 224 00:11:51,760 --> 00:11:55,320 Speaker 2: labor market. It's now shifted back towards employers, and that 225 00:11:55,400 --> 00:11:58,600 Speaker 2: means fewer people are quitting their jobs. We're no longer 226 00:11:58,679 --> 00:12:02,200 Speaker 2: living in the great resignation of the pandemic these days, 227 00:12:02,280 --> 00:12:05,680 Speaker 2: it's more like the Big stay. But Molly says that 228 00:12:05,800 --> 00:12:07,880 Speaker 2: isn't a reason to be totally alarmed. 229 00:12:08,240 --> 00:12:10,200 Speaker 3: I don't want people to be scared to think that 230 00:12:10,280 --> 00:12:13,040 Speaker 3: this job market is horrible. But the way that I 231 00:12:13,160 --> 00:12:15,480 Speaker 3: describe it to my friends is that it's not a 232 00:12:15,559 --> 00:12:18,240 Speaker 3: job market that I would quit right now my job 233 00:12:18,280 --> 00:12:21,000 Speaker 3: if I had a good gig, because it certainly doesn't 234 00:12:21,080 --> 00:12:24,400 Speaker 3: look to be one that's favoring the job applicants. 235 00:12:26,320 --> 00:12:29,840 Speaker 2: So the job market not horrible, but the slowdown does 236 00:12:29,920 --> 00:12:33,040 Speaker 2: have everybody's attention. The job market is one of the 237 00:12:33,040 --> 00:12:36,200 Speaker 2: most important parts of the US economy, and if hiring 238 00:12:36,240 --> 00:12:40,080 Speaker 2: slows down too much or unemployment rises too fast, it 239 00:12:40,120 --> 00:12:43,320 Speaker 2: could signal the US economy is heading in a bad direction. 240 00:12:44,240 --> 00:12:46,920 Speaker 2: The job market came up this week when Federal Reserve 241 00:12:47,040 --> 00:12:50,360 Speaker 2: cher Jerome Powell answered reporter's questions about whether or not 242 00:12:50,400 --> 00:12:53,559 Speaker 2: he would be cutting interest rates next month. The question 243 00:12:53,640 --> 00:12:56,679 Speaker 2: really is is one of are we worried about a 244 00:12:56,720 --> 00:12:58,920 Speaker 2: sharper downturn in the labor market, And the answer is, 245 00:12:58,920 --> 00:13:02,319 Speaker 2: we're watching really careful for that. It's a complicated calculus 246 00:13:02,320 --> 00:13:04,800 Speaker 2: for the Fed. A slowdown in hiring could be a 247 00:13:04,920 --> 00:13:07,320 Speaker 2: sign that the economy is slowing and they should cut 248 00:13:07,320 --> 00:13:11,120 Speaker 2: interest rates to help boost economic activity. But also, when 249 00:13:11,160 --> 00:13:14,079 Speaker 2: the job market was really hot, employers were offering more 250 00:13:14,120 --> 00:13:17,360 Speaker 2: and more money to lure workers to open jobs. To 251 00:13:17,480 --> 00:13:20,559 Speaker 2: offset paying workers more, companies raise the prices of the 252 00:13:20,600 --> 00:13:24,480 Speaker 2: stuff they were selling, and all that contributed to rising inflation. 253 00:13:24,960 --> 00:13:27,280 Speaker 3: I mean, workers would love to still be getting the 254 00:13:27,360 --> 00:13:29,520 Speaker 3: kinds of pay increases that they were a couple of 255 00:13:29,600 --> 00:13:32,880 Speaker 3: years ago, and to see that they had such bargaining 256 00:13:32,920 --> 00:13:36,840 Speaker 3: power when it came to negotiating with employers for different 257 00:13:36,920 --> 00:13:39,760 Speaker 3: kinds of perks, and that's just not the same kind 258 00:13:39,800 --> 00:13:42,199 Speaker 3: of job market we're in right now. But again, I 259 00:13:42,240 --> 00:13:45,079 Speaker 3: don't think any of us thought that was a sustainable environment. 260 00:13:45,320 --> 00:13:48,120 Speaker 3: It was awesome while it lasted. If that was the 261 00:13:48,120 --> 00:13:50,960 Speaker 3: position you were in, but it just wasn't ever going 262 00:13:51,000 --> 00:13:51,439 Speaker 3: to last. 263 00:13:51,600 --> 00:13:53,600 Speaker 2: Are we at a turning point in the job market 264 00:13:53,640 --> 00:13:54,000 Speaker 2: right now? 265 00:13:54,080 --> 00:13:56,439 Speaker 3: I think that's what everyone's trying to figure out. We've 266 00:13:56,520 --> 00:13:59,360 Speaker 3: kind of been talking about this with my colleagues of like, 267 00:13:59,520 --> 00:14:02,080 Speaker 3: right now, we're at what we would call a job 268 00:14:02,120 --> 00:14:06,720 Speaker 3: market that's running quote at trend. That's kind of normal, 269 00:14:07,040 --> 00:14:09,280 Speaker 3: you know, so to speak, and that's where you of 270 00:14:09,280 --> 00:14:11,280 Speaker 3: course would want to be, you know, something that is 271 00:14:11,480 --> 00:14:14,720 Speaker 3: steady state. So it's really tough right now to say 272 00:14:14,760 --> 00:14:17,800 Speaker 3: that this is like a bad job market again. It's 273 00:14:17,880 --> 00:14:22,720 Speaker 3: just softening very very gradually from a really really hot pace. 274 00:14:23,480 --> 00:14:26,760 Speaker 2: Now everyone is hoping that as the job market cools off, 275 00:14:27,120 --> 00:14:30,840 Speaker 2: it doesn't get too cold. But as workers and companies 276 00:14:30,920 --> 00:14:34,320 Speaker 2: navigate this new normal, where does that leave ghost jobs? 277 00:14:34,920 --> 00:14:38,880 Speaker 2: Probably not going away anytime soon. Companies have gotten a 278 00:14:38,880 --> 00:14:41,440 Speaker 2: lot of power back in this job market, and many 279 00:14:41,520 --> 00:14:44,800 Speaker 2: hiring managers reported to resume Builder that they were happy 280 00:14:44,840 --> 00:14:47,120 Speaker 2: with the results of their fake job postings. 281 00:14:47,520 --> 00:14:50,720 Speaker 1: Fake job postings in ghost jobs isn't new. It's been 282 00:14:50,760 --> 00:14:53,440 Speaker 1: happening for a while, but it's kind of taken off. 283 00:14:53,720 --> 00:14:57,280 Speaker 1: So my heart goes to job seekers who now have 284 00:14:57,440 --> 00:14:59,760 Speaker 1: to understand this part of the process. 285 00:15:00,280 --> 00:15:02,800 Speaker 2: So at least for now, it looks like it'll be 286 00:15:02,880 --> 00:15:05,240 Speaker 2: up to job seekers to try and suss out which 287 00:15:05,320 --> 00:15:09,040 Speaker 2: job postings are real. That, of course means more work 288 00:15:09,560 --> 00:15:12,040 Speaker 2: on top of all the work that already goes into 289 00:15:12,080 --> 00:15:14,760 Speaker 2: looking for a job. What advice do you have for 290 00:15:14,840 --> 00:15:18,800 Speaker 2: people who want to avoid getting misled or gas lit 291 00:15:19,120 --> 00:15:20,080 Speaker 2: by a ghost job. 292 00:15:20,720 --> 00:15:23,280 Speaker 3: I think one way maybe to do it is to 293 00:15:23,360 --> 00:15:27,320 Speaker 3: see if the job posting exists on a company's website 294 00:15:27,320 --> 00:15:30,080 Speaker 3: as well as on a platform, trace it back to 295 00:15:30,080 --> 00:15:33,720 Speaker 3: the original source, like is it actually there? And if 296 00:15:33,760 --> 00:15:36,560 Speaker 3: you do have some doubts, you know, maybe if there 297 00:15:36,680 --> 00:15:39,560 Speaker 3: is a contact to get to the recruiter directly. I 298 00:15:39,600 --> 00:15:41,800 Speaker 3: think everybody just really wants to know that there's a 299 00:15:41,880 --> 00:15:45,600 Speaker 3: human on the other side. That there's so much technology 300 00:15:45,720 --> 00:15:48,200 Speaker 3: and generative AI and so much of what we do now, 301 00:15:48,200 --> 00:15:51,080 Speaker 3: maybe without us even realizing it, that there still is 302 00:15:51,160 --> 00:15:54,720 Speaker 3: comfort to know that when you call somebody that there 303 00:15:54,760 --> 00:15:56,480 Speaker 3: is going to be a person on the other end. 304 00:15:56,760 --> 00:15:59,000 Speaker 3: Same with dating, same with applying to jobs. 305 00:16:02,680 --> 00:16:05,680 Speaker 2: This is the big take from Bloomberg News. I'm Sarah Holder. 306 00:16:06,080 --> 00:16:08,720 Speaker 2: This episode was produced by Julia Press. It was fact 307 00:16:08,760 --> 00:16:11,960 Speaker 2: checked by Adrian Atapia and edited by Stacy Vennicksmith and 308 00:16:12,040 --> 00:16:15,720 Speaker 2: Aaron Edwards. It was mixed by Blake Naples. Our senior 309 00:16:15,760 --> 00:16:19,000 Speaker 2: producers are Kim Gettlelson and Naomi Shaven. Our senior editor 310 00:16:19,040 --> 00:16:23,280 Speaker 2: is Elizabeth Ponso. Nicole beemsterbor is our executive producer. Sage 311 00:16:23,280 --> 00:16:26,920 Speaker 2: Bauman is Bloomberg's head of podcasts. Thanks so much for listening. 312 00:16:27,200 --> 00:16:29,680 Speaker 2: Please follow and review The Big Take wherever you get 313 00:16:29,680 --> 00:16:33,240 Speaker 2: your podcasts. It helps new listeners find the show. We'll 314 00:16:33,240 --> 00:16:34,000 Speaker 2: be back tomorrow