WEBVTT - The Hot Market for Jobs No One Wants

0:00:02.720 --> 0:00:07.200
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

0:00:09.200 --> 0:00:12.360
<v Speaker 2>Growing up in a small town in Kansas, Danielle Norwood

0:00:12.560 --> 0:00:15.920
<v Speaker 2>loved listening to the radio, but she didn't predict it

0:00:15.960 --> 0:00:17.079
<v Speaker 2>would become her career.

0:00:17.440 --> 0:00:21.320
<v Speaker 1>I had an opportunity to babysit for the general manager

0:00:21.440 --> 0:00:24.599
<v Speaker 1>of a radio station in town. He said, you have

0:00:24.640 --> 0:00:28.200
<v Speaker 1>a really interesting voice. Have you ever thought about getting

0:00:28.200 --> 0:00:28.960
<v Speaker 1>into radio?

0:00:29.480 --> 0:00:32.080
<v Speaker 2>She gave it a try, and soon she was hooked.

0:00:32.560 --> 0:00:35.320
<v Speaker 2>She started out as a board operator and worked her

0:00:35.360 --> 0:00:38.320
<v Speaker 2>way up the radio ranks in Solina, Kansas.

0:00:38.720 --> 0:00:41.480
<v Speaker 1>Back in the day, you're pushing commercials and you would

0:00:41.479 --> 0:00:44.160
<v Speaker 1>give the weather, and I actually had a radio show,

0:00:44.200 --> 0:00:45.720
<v Speaker 1>so I was playing records.

0:00:46.000 --> 0:00:49.200
<v Speaker 2>Eventually she moved to Topeka to host her own talk show.

0:00:49.840 --> 0:00:52.559
<v Speaker 2>By last fall, she was nearly forty years into her

0:00:52.640 --> 0:00:55.760
<v Speaker 2>radio career and hosting an award winning morning show for

0:00:55.800 --> 0:01:00.840
<v Speaker 2>a local station. But last November her station told her

0:01:00.920 --> 0:01:05.280
<v Speaker 2>they were letting her go. She was disappointed, upset, but

0:01:05.360 --> 0:01:07.880
<v Speaker 2>you thought that given her experience, she'd be able to

0:01:07.880 --> 0:01:10.360
<v Speaker 2>get a new job at another station before too long.

0:01:10.520 --> 0:01:14.119
<v Speaker 1>And I wasn't even going to just stay in just

0:01:14.600 --> 0:01:19.440
<v Speaker 1>Kansas or the central area. I was open to going

0:01:19.959 --> 0:01:21.880
<v Speaker 1>anywhere to get a good job.

0:01:22.280 --> 0:01:25.160
<v Speaker 2>How long did you expect it to take to find

0:01:25.360 --> 0:01:26.000
<v Speaker 2>a new job.

0:01:26.280 --> 0:01:30.920
<v Speaker 1>It was in the holidays season, so I thought, you know,

0:01:31.319 --> 0:01:36.240
<v Speaker 1>maybe by the end of January I would be doing

0:01:36.319 --> 0:01:40.880
<v Speaker 1>something radio related. And when that didn't happen, I'm like, okay,

0:01:40.959 --> 0:01:44.920
<v Speaker 1>well wait a second. So my next thought was, Okay,

0:01:45.040 --> 0:01:48.880
<v Speaker 1>I've got public relations experience, I could do marketing. I

0:01:48.920 --> 0:01:52.000
<v Speaker 1>have all these other things that are a part of

0:01:52.120 --> 0:01:55.440
<v Speaker 1>being in broadcasting that I could apply for.

0:01:55.920 --> 0:01:59.960
<v Speaker 2>But as weeks turned into months, Danielle started to get demoralized.

0:02:00.720 --> 0:02:05.440
<v Speaker 1>Nobody was even thinking to give me an interview after

0:02:05.520 --> 0:02:09.359
<v Speaker 1>a long time. It really your ego takes a hit.

0:02:10.000 --> 0:02:12.160
<v Speaker 2>She realized she might have to pivot.

0:02:12.520 --> 0:02:16.680
<v Speaker 1>Well, all of the rejections had gotten into the hundreds, Like,

0:02:16.960 --> 0:02:19.600
<v Speaker 1>maybe this is not working for me.

0:02:20.040 --> 0:02:22.640
<v Speaker 2>She started looking at job she'd never have considered before,

0:02:23.120 --> 0:02:27.480
<v Speaker 2>jobs outside of radio and marketing. And Danielle is one

0:02:27.480 --> 0:02:30.280
<v Speaker 2>of many job hunters right now in that position who

0:02:30.280 --> 0:02:34.600
<v Speaker 2>are navigating a uniquely challenging time in the American labor market.

0:02:35.000 --> 0:02:38.640
<v Speaker 2>Bloomberg's Mike Sasso says some of them are expanding their

0:02:38.720 --> 0:02:41.160
<v Speaker 2>job search in ways they wouldn't have expected.

0:02:41.440 --> 0:02:42.280
<v Speaker 3>I think when you do.

0:02:42.360 --> 0:02:46.440
<v Speaker 4>See people line up to be traffic flaggers, and you

0:02:46.520 --> 0:02:51.600
<v Speaker 4>hear that jobs at recyclable centers are much more easily

0:02:52.000 --> 0:02:54.960
<v Speaker 4>filled now. It's a sign that things are rough out there.

0:03:00.160 --> 0:03:02.840
<v Speaker 2>Holder, And this is the big take from Bloomberg News

0:03:03.400 --> 0:03:07.200
<v Speaker 2>Today on the show inside an unusual dynamic playing out

0:03:07.240 --> 0:03:10.920
<v Speaker 2>in one corner of the American labor market. Jobs once

0:03:11.000 --> 0:03:20.160
<v Speaker 2>considered undesirable are suddenly seeing higher applications and lower turnover. Mike'

0:03:20.160 --> 0:03:23.320
<v Speaker 2>sasso covers the economy for Bloomberg and to get a

0:03:23.360 --> 0:03:26.520
<v Speaker 2>pulse on how the economy is doing, he looks at

0:03:26.520 --> 0:03:30.080
<v Speaker 2>things like the unemployment rate, sure, but also at less

0:03:30.160 --> 0:03:34.560
<v Speaker 2>formal indicators of how real people are experiencing the economy

0:03:34.639 --> 0:03:37.880
<v Speaker 2>right now. And a few weeks back, an interesting data

0:03:37.880 --> 0:03:39.560
<v Speaker 2>point caught his eye.

0:03:39.640 --> 0:03:43.760
<v Speaker 4>Indeed, the big Giant job board just put out some

0:03:43.920 --> 0:03:50.160
<v Speaker 4>news about Christmas, Thanksgiving kind of holiday season jobs. They're

0:03:50.200 --> 0:03:53.120
<v Speaker 4>able to monitor, you know, how many people click on

0:03:53.520 --> 0:03:57.840
<v Speaker 4>seasonal job postings on Indeed, and they were showing a.

0:03:57.800 --> 0:04:02.680
<v Speaker 2>Spike, a nearly thirty cent spike year over year, and

0:04:02.800 --> 0:04:05.400
<v Speaker 2>clicks on seasonal job postings on Indeed.

0:04:05.640 --> 0:04:09.040
<v Speaker 4>Sometimes you just operate on hunches as a reporter and

0:04:09.440 --> 0:04:14.600
<v Speaker 4>seasonal jobs, by their nature are kind of your second choice.

0:04:14.640 --> 0:04:16.839
<v Speaker 3>Most people would like to have a permanent job.

0:04:17.080 --> 0:04:20.560
<v Speaker 2>So I just got the wondering, wondering if there are

0:04:20.720 --> 0:04:23.479
<v Speaker 2>other jobs that are typically hard to fill that might

0:04:23.560 --> 0:04:25.440
<v Speaker 2>now be seeing more interest.

0:04:26.000 --> 0:04:28.520
<v Speaker 4>A lot of those are blue collar oriented roles that

0:04:28.920 --> 0:04:31.919
<v Speaker 4>I happen to know that they have very high turnover rates.

0:04:32.400 --> 0:04:38.520
<v Speaker 4>They often have something that makes them less appealing, like stereotypically,

0:04:38.600 --> 0:04:41.760
<v Speaker 4>you know, the waste industry. Solid waste can be a

0:04:42.080 --> 0:04:46.680
<v Speaker 4>difficult role to fill. Traffic flaggers. You're kind of out

0:04:46.760 --> 0:04:50.800
<v Speaker 4>there flagging traffic in thirty degree weather or ninety five

0:04:50.839 --> 0:04:53.360
<v Speaker 4>degree weather, and often for twelve hours at a time.

0:04:53.520 --> 0:04:56.320
<v Speaker 4>The military, for example, it's a job that it can

0:04:56.400 --> 0:04:59.640
<v Speaker 4>be dangerous. Obviously, you can be torn away from your

0:04:59.640 --> 0:05:04.120
<v Speaker 4>family for months or a year on end if you're deployed.

0:05:04.240 --> 0:05:11.240
<v Speaker 2>So high turnover, potentially dangerous, unpleasant, temporary, and lower pay

0:05:11.440 --> 0:05:13.520
<v Speaker 2>are some of the That's pretty much.

0:05:13.440 --> 0:05:14.719
<v Speaker 3>You pretty much wrapped it up.

0:05:14.880 --> 0:05:19.799
<v Speaker 4>There was something unappealing about these jobs that would require

0:05:19.880 --> 0:05:22.799
<v Speaker 4>a second look in a kind of a weaker market,

0:05:22.960 --> 0:05:24.960
<v Speaker 4>and sure enough, there was some evidence that they are

0:05:25.000 --> 0:05:27.280
<v Speaker 4>seeing more interest and more applications.

0:05:27.640 --> 0:05:32.600
<v Speaker 2>Waste management companies are reporting higher employee retention rates. According

0:05:32.600 --> 0:05:36.240
<v Speaker 2>to the Solid Waste Giant waste Management, turnover among garbage

0:05:36.279 --> 0:05:40.080
<v Speaker 2>truck drivers is at an all time company low. Military

0:05:40.120 --> 0:05:43.839
<v Speaker 2>branches are reaching their recruiting goals ahead of schedule this year,

0:05:44.640 --> 0:05:48.160
<v Speaker 2>and traffic flagger companies who send people to direct traffic

0:05:48.200 --> 0:05:50.960
<v Speaker 2>at construction sites are having a good year too.

0:05:51.320 --> 0:05:54.320
<v Speaker 4>Two three years ago, the head of an Atlanta flagging

0:05:54.400 --> 0:05:56.680
<v Speaker 4>company was sort of lucky if he could get ten

0:05:56.760 --> 0:05:59.840
<v Speaker 4>applications a week, and so he's now getting up to

0:05:59.880 --> 0:06:03.200
<v Speaker 4>a week, which is you know what, six or sevenfold increase.

0:06:03.800 --> 0:06:06.599
<v Speaker 4>I don't want to overplay it and say that people

0:06:06.640 --> 0:06:09.120
<v Speaker 4>are lining up and banging down the door to get

0:06:09.120 --> 0:06:12.839
<v Speaker 4>into solid waste jobs or to be traffic flaggers, but

0:06:12.920 --> 0:06:15.279
<v Speaker 4>at the least they're telling me that some of the

0:06:15.440 --> 0:06:17.760
<v Speaker 4>real strain they saw from a couple of years ago

0:06:17.800 --> 0:06:18.719
<v Speaker 4>has alleviated.

0:06:19.040 --> 0:06:22.039
<v Speaker 2>The head of the Atlanta based traffic flagging company told

0:06:22.080 --> 0:06:25.400
<v Speaker 2>Mike he's gotten so much interest he's actually starting to

0:06:25.440 --> 0:06:27.880
<v Speaker 2>be more selective about who he hires.

0:06:28.279 --> 0:06:31.040
<v Speaker 4>He used to basically hire anyone who could pass a

0:06:31.120 --> 0:06:36.200
<v Speaker 4>drug test and pass a certification test three four years ago.

0:06:36.600 --> 0:06:39.839
<v Speaker 4>Now he's only able to hire fifteen percent of the

0:06:39.839 --> 0:06:42.080
<v Speaker 4>people applying to be traffic flaggers.

0:06:42.440 --> 0:06:45.520
<v Speaker 2>A fifteen percent acceptance rate is as selective as the

0:06:45.560 --> 0:06:50.720
<v Speaker 2>top us university's admissions for their first year classes. Some

0:06:50.800 --> 0:06:53.720
<v Speaker 2>of the other jobs Mike is tracking are more traditional,

0:06:54.200 --> 0:06:58.320
<v Speaker 2>but they have certain features that economists call disamenities that

0:06:58.400 --> 0:07:02.520
<v Speaker 2>make them less appealing. Jobs like substitute teaching.

0:07:02.760 --> 0:07:04.800
<v Speaker 4>It's a hard role to fill. I know they have

0:07:05.040 --> 0:07:10.120
<v Speaker 4>historically had high vacancy rates, really irregular work, generally low

0:07:10.160 --> 0:07:12.240
<v Speaker 4>pay seventeen eighteen dollars an hour.

0:07:12.960 --> 0:07:14.120
<v Speaker 3>I can remember.

0:07:14.600 --> 0:07:18.960
<v Speaker 4>Flicking staples at the substitute teachers or shooting spitballs back

0:07:19.080 --> 0:07:19.600
<v Speaker 4>in the day.

0:07:20.040 --> 0:07:23.920
<v Speaker 1>I could tell you everything I'm nervous about because it's

0:07:24.040 --> 0:07:28.840
<v Speaker 1>not in my comfort zone to be in charge of

0:07:29.400 --> 0:07:30.600
<v Speaker 1>a bunch of kids.

0:07:30.960 --> 0:07:34.200
<v Speaker 2>That's Danielle Norwood again. After she was laid off from

0:07:34.200 --> 0:07:37.560
<v Speaker 2>the local radio station, she spent months applying to job

0:07:37.640 --> 0:07:40.640
<v Speaker 2>after job, and when nobody got back to her, she

0:07:40.760 --> 0:07:44.840
<v Speaker 2>started thinking outside the box. She drove uber for a while.

0:07:45.040 --> 0:07:47.600
<v Speaker 2>She'd already been doing that to supplement her radio income,

0:07:48.160 --> 0:07:50.640
<v Speaker 2>but she found that she couldn't make a living from it,

0:07:51.240 --> 0:07:53.960
<v Speaker 2>so this summer she decided she'd apply to get her

0:07:54.000 --> 0:07:57.360
<v Speaker 2>teaching license and become a substitute teacher.

0:07:57.760 --> 0:07:59.679
<v Speaker 5>It's the only thing where the door is open.

0:08:00.400 --> 0:08:03.520
<v Speaker 1>They still need a lot of substitute teachers to help out.

0:08:04.080 --> 0:08:07.960
<v Speaker 2>She can see the disamenities clearly, no paid time off,

0:08:08.400 --> 0:08:11.320
<v Speaker 2>no health insurance, lack of consistency.

0:08:11.840 --> 0:08:15.480
<v Speaker 1>So, I mean, there's all these considerations to have to

0:08:15.560 --> 0:08:18.560
<v Speaker 1>think about, and it's like, well, do I really want

0:08:18.600 --> 0:08:23.440
<v Speaker 1>to do this and I'm not getting what I used

0:08:23.440 --> 0:08:25.720
<v Speaker 1>to get, But at the same time, I need to

0:08:25.840 --> 0:08:28.440
<v Speaker 1>check a little money is better than no money at

0:08:28.440 --> 0:08:29.640
<v Speaker 1>this particular point.

0:08:29.920 --> 0:08:32.480
<v Speaker 2>According to the latest medium wage data from the Bureau

0:08:32.520 --> 0:08:37.000
<v Speaker 2>of Labor Statistics, substitute teachers make about eighteen fifty an hour.

0:08:40.800 --> 0:08:43.760
<v Speaker 2>Coming up How the labor market got to this point

0:08:44.160 --> 0:08:56.480
<v Speaker 2>and what it means for the economy. Bloomberg's Mike Sasso

0:08:56.640 --> 0:09:00.440
<v Speaker 2>has been tracking how traditionally hard to fill jobs are

0:09:00.440 --> 0:09:03.520
<v Speaker 2>starting to get a lot more appealing. It's a sign

0:09:03.559 --> 0:09:06.199
<v Speaker 2>that employers are back in the driver's seat.

0:09:06.360 --> 0:09:06.880
<v Speaker 3>Used to be.

0:09:07.000 --> 0:09:10.400
<v Speaker 4>There was this concept about three years ago or something

0:09:10.559 --> 0:09:14.319
<v Speaker 4>was called labor hoarding, and it was basically the concept

0:09:14.400 --> 0:09:17.800
<v Speaker 4>that employers had had such a hard time filling roles

0:09:17.880 --> 0:09:21.200
<v Speaker 4>during the pandemic that even if things slowed down and

0:09:21.240 --> 0:09:23.400
<v Speaker 4>they were a little top heavy with people, they were

0:09:23.480 --> 0:09:26.960
<v Speaker 4>not going to let workers go. It was a great

0:09:27.000 --> 0:09:29.880
<v Speaker 4>time to be an employee. We saw wage rates rise

0:09:30.040 --> 0:09:33.280
<v Speaker 4>five percent a year. Pretty much. That's all gone away.

0:09:33.360 --> 0:09:35.040
<v Speaker 4>Now it's gotten ugly out there.

0:09:35.880 --> 0:09:38.760
<v Speaker 2>That ugliness in the labor market is showing up in

0:09:38.880 --> 0:09:42.800
<v Speaker 2>economic data in subtle and not so subtle waste.

0:09:43.200 --> 0:09:46.160
<v Speaker 4>The unemployment rate is somewhat Economists will say that it's

0:09:46.160 --> 0:09:51.319
<v Speaker 4>somewhat misleading because there has been this low higher low

0:09:51.440 --> 0:09:55.840
<v Speaker 4>fire phenomenon going on, which basically means there's very very

0:09:55.840 --> 0:09:59.319
<v Speaker 4>little hiring and you're seeing people sit in the unemployment

0:09:59.360 --> 0:10:02.959
<v Speaker 4>line for or six months, eight months, nine months. The

0:10:03.080 --> 0:10:08.200
<v Speaker 4>rate of hiring is actually at recessionary levels. So while

0:10:08.200 --> 0:10:10.880
<v Speaker 4>the unemployment level at four point three percent is still

0:10:10.920 --> 0:10:14.960
<v Speaker 4>fairly low, the rate at which companies are filling roles

0:10:15.040 --> 0:10:18.240
<v Speaker 4>is at recessionary levels, and so that makes it extremely

0:10:18.320 --> 0:10:21.600
<v Speaker 4>hard to get a job. There's a metric where they

0:10:21.720 --> 0:10:27.640
<v Speaker 4>study how long unemployed people have been unemployed. In about

0:10:27.720 --> 0:10:31.480
<v Speaker 4>twenty six percent of unemployed people have been out of

0:10:31.520 --> 0:10:33.800
<v Speaker 4>work for but half year.

0:10:34.000 --> 0:10:36.079
<v Speaker 3>Over a half year. Now that's a very high.

0:10:36.000 --> 0:10:39.680
<v Speaker 4>Level it's one of the highest in the past decade, excluding,

0:10:39.800 --> 0:10:42.840
<v Speaker 4>of course, the pandemic when things are off the charts.

0:10:42.920 --> 0:10:45.400
<v Speaker 4>But I think what it says, it's a sign of

0:10:45.440 --> 0:10:48.720
<v Speaker 4>how challenging it is to define work right now.

0:10:50.400 --> 0:10:54.000
<v Speaker 2>Worker's confidence about finding a new job is also waning.

0:10:54.600 --> 0:10:57.439
<v Speaker 2>A recent Harris poll conducted for Bloomberg found that nearly

0:10:57.520 --> 0:11:00.520
<v Speaker 2>half of employed respondents said it would take them four

0:11:00.520 --> 0:11:03.040
<v Speaker 2>months or more to find a job of similar quality

0:11:03.320 --> 0:11:07.120
<v Speaker 2>if they lost their jobs today. For a widening pool

0:11:07.200 --> 0:11:11.760
<v Speaker 2>of American workers, that's not a hypothetical. Companies from Amazon

0:11:11.880 --> 0:11:16.080
<v Speaker 2>and Target to Ups and Starbucks have collectively announced tens

0:11:16.120 --> 0:11:17.840
<v Speaker 2>of thousands of layoffs this year.

0:11:18.120 --> 0:11:21.160
<v Speaker 4>My colleague just did an article. He's studied something called

0:11:21.160 --> 0:11:25.240
<v Speaker 4>a warn notice. When companies make a mass layoff, they're

0:11:25.280 --> 0:11:28.400
<v Speaker 4>supposed to notify their state government, and it shows up

0:11:28.400 --> 0:11:31.800
<v Speaker 4>in these things called warn notices, And he noted that

0:11:32.400 --> 0:11:36.400
<v Speaker 4>in October nationally there were some of the highest readings

0:11:36.440 --> 0:11:38.720
<v Speaker 4>for warn notices in the past twenty years.

0:11:39.000 --> 0:11:42.600
<v Speaker 6>What we talked about earlier is the fact that the

0:11:42.640 --> 0:11:48.040
<v Speaker 6>power dynamic had switched from the hands of workers into

0:11:48.040 --> 0:11:49.080
<v Speaker 6>the hands of employers.

0:11:49.160 --> 0:11:52.760
<v Speaker 2>What would it take to actually reverse that dynamic again.

0:11:53.440 --> 0:11:55.440
<v Speaker 3>Boy, that's hard to say. I mean, you'd have to

0:11:55.480 --> 0:11:57.200
<v Speaker 3>have some shock.

0:11:57.360 --> 0:12:00.959
<v Speaker 4>I mean, certainly everyone's kind of watching immigrant right now,

0:12:01.040 --> 0:12:04.280
<v Speaker 4>and some of the data has shown a disappearance at

0:12:04.360 --> 0:12:07.640
<v Speaker 4>least from the labor roles of something like two million workers,

0:12:08.400 --> 0:12:12.839
<v Speaker 4>and there has been a lot of confusion over the

0:12:12.880 --> 0:12:17.240
<v Speaker 4>impacts of that. And suddenly, certainly, if those industries are

0:12:17.320 --> 0:12:21.080
<v Speaker 4>potentially at risk of losing a lot of manpower, that

0:12:21.320 --> 0:12:23.440
<v Speaker 4>kind of a shock to the labor market.

0:12:23.880 --> 0:12:25.520
<v Speaker 3>Competitor put power.

0:12:25.160 --> 0:12:29.280
<v Speaker 4>In the hands of workers if there's some major shortage,

0:12:29.320 --> 0:12:31.360
<v Speaker 4>I mean, that would probably be limited there as certain

0:12:31.559 --> 0:12:36.640
<v Speaker 4>roles like construction, like hospitality, you know, hotels. Of course,

0:12:37.120 --> 0:12:39.080
<v Speaker 4>those who would be likely to see it first.

0:12:39.840 --> 0:12:42.480
<v Speaker 2>In the meantime, job seekers who are flocking to jobs

0:12:42.520 --> 0:12:46.280
<v Speaker 2>that haven't always been desirable can take comfort in knowing that,

0:12:46.400 --> 0:12:49.600
<v Speaker 2>even if they're not full time with benefits, they might

0:12:49.640 --> 0:12:52.680
<v Speaker 2>have a better chance of being around for the foreseeable future.

0:12:53.440 --> 0:12:57.080
<v Speaker 2>That's because it's harder to replace them with AI. Unlike

0:12:57.160 --> 0:12:59.880
<v Speaker 2>some of the jobs that have been eliminated recently.

0:12:59.640 --> 0:13:05.280
<v Speaker 4>We have seen some companies specifically acknowledge AI and automation

0:13:05.720 --> 0:13:10.440
<v Speaker 4>being a factor, and some actually mentioned specifically targeting some

0:13:10.640 --> 0:13:14.680
<v Speaker 4>roles for automation, and so some companies seem to be

0:13:15.200 --> 0:13:18.880
<v Speaker 4>taking advantage of the increases in automation and AI right

0:13:18.920 --> 0:13:22.040
<v Speaker 4>now to reduce their costs. It's a little bit worrying

0:13:22.080 --> 0:13:24.920
<v Speaker 4>if you're caught up in that, and so we're kind

0:13:24.920 --> 0:13:28.240
<v Speaker 4>of watching to see how much of that happens as

0:13:28.280 --> 0:13:29.600
<v Speaker 4>you a passing phase.

0:13:32.000 --> 0:13:35.199
<v Speaker 2>Danielle Norwood is trying to look on the bright side.

0:13:35.480 --> 0:13:37.920
<v Speaker 2>She took her licensing exam to teach in the state

0:13:37.960 --> 0:13:40.560
<v Speaker 2>of Missouri and she just got her score back.

0:13:40.559 --> 0:13:43.280
<v Speaker 1>Which was ninety six point one five, which I was

0:13:43.320 --> 0:13:46.360
<v Speaker 1>screaming to Jesus because it was almost like for me

0:13:46.520 --> 0:13:49.880
<v Speaker 1>taking the bar. It was not an easy test to take.

0:13:50.440 --> 0:13:53.520
<v Speaker 2>She's working on getting her Kansas license now too, and

0:13:53.600 --> 0:13:56.880
<v Speaker 2>soon she'll be able to start teaching. And while subbing

0:13:57.120 --> 0:13:59.920
<v Speaker 2>is in her top pick of jobs, there are us

0:14:00.320 --> 0:14:02.640
<v Speaker 2>that Danielle says she's looking forward.

0:14:02.360 --> 0:14:06.960
<v Speaker 5>To being able to hopefully influence kids and to let

0:14:06.960 --> 0:14:09.720
<v Speaker 5>them know that there are people cheering for them and

0:14:10.360 --> 0:14:13.360
<v Speaker 5>if they have challenging situations, because I grew up in

0:14:13.400 --> 0:14:17.840
<v Speaker 5>a challenging situation too, economically, but you don't have to

0:14:17.840 --> 0:14:20.800
<v Speaker 5>be the situation you're in, you could always rise above

0:14:20.840 --> 0:14:23.520
<v Speaker 5>and push through, and I just hope to be a

0:14:23.520 --> 0:14:25.520
<v Speaker 5>lot of that for the kids that I deal with.

0:14:29.040 --> 0:14:32.080
<v Speaker 2>This is the Big Take from Bloomberg News. I'm Sarah Holder.

0:14:32.920 --> 0:14:35.400
<v Speaker 2>To get more from the Big Take and unlimited access

0:14:35.440 --> 0:14:39.280
<v Speaker 2>to all of Bloomberg dot com, subscribe today at Bloomberg

0:14:39.280 --> 0:14:43.520
<v Speaker 2>dot com Slash podcast offer. Thanks for listening. We'll be

0:14:43.560 --> 0:14:44.200
<v Speaker 2>back tomorrow.