1
00:00:00,567 --> 00:00:00,734
So what does the

2
00:00:00,801 --> 00:00:01,802
Wisconsin labor market

3
00:00:01,869 --> 00:00:03,070
look like right now

4
00:00:03,136 --> 00:00:05,038
for new entrants into it?

5
00:00:05,105 --> 00:00:06,440
It's always a little bit tricky

6
00:00:06,507 --> 00:00:08,175
graduating as the

7
00:00:08,775 --> 00:00:09,476
market's cooling.

8
00:00:09,543 --> 00:00:10,677
I mean, I did that myself

9
00:00:10,744 --> 00:00:12,779
forever ago and it's

10
00:00:13,146 --> 00:00:15,382
a little difficult, but

11
00:00:15,716 --> 00:00:17,718
students and new grads adapt

12
00:00:17,784 --> 00:00:19,586
and that's what's always

13
00:00:19,653 --> 00:00:20,654
happened in the past.

14
00:00:20,721 --> 00:00:21,989
Now, the question with AI is

15
00:00:22,055 --> 00:00:23,757
often, well, are we going

16
00:00:23,824 --> 00:00:26,260
to see a situation where

17
00:00:27,327 --> 00:00:30,130
AI substitutes for so many jobs

18
00:00:30,197 --> 00:00:31,999
that we see something we've

19
00:00:32,065 --> 00:00:33,133
never seen before?

20
00:00:33,200 --> 00:00:34,368
I can't really answer that.

21
00:00:34,434 --> 00:00:35,469
We just, we don't have

22
00:00:35,536 --> 00:00:37,604
enough data and we don't

23
00:00:38,505 --> 00:00:40,040
everything we see out there.

24
00:00:40,107 --> 00:00:41,041
You see one thing one day

25
00:00:41,108 --> 00:00:42,776
one thing the next.

26
00:00:43,877 --> 00:00:45,078
While this is something that

27
00:00:45,145 --> 00:00:45,712
the Department of

28
00:00:45,779 --> 00:00:46,346
Workforce Development

29
00:00:46,413 --> 00:00:47,147
is aware of

30
00:00:47,214 --> 00:00:49,349
and we've actually done

31
00:00:49,416 --> 00:00:50,250
work for the governor's

32
00:00:50,317 --> 00:00:52,119
task force on AI and

33
00:00:53,754 --> 00:00:55,889
looked into where there's

34
00:00:55,956 --> 00:00:57,257
exposure amongst these

35
00:00:57,324 --> 00:00:58,358
occupations to AI

36
00:00:58,425 --> 00:00:59,326
and there's a lot

37
00:00:59,393 --> 00:00:59,893
there will be

38
00:00:59,960 --> 00:01:00,794
a lot of exposure

39
00:01:00,861 --> 00:01:01,929
but it doesn't necessarily

40
00:01:01,995 --> 00:01:03,430
indicate substitution.

41
00:01:03,497 --> 00:01:04,731
In a lot of cases

42
00:01:04,798 --> 00:01:05,599
it will be folks

43
00:01:05,666 --> 00:01:07,267
working with AI.

44
00:01:07,334 --> 00:01:08,168
That's something

45
00:01:08,235 --> 00:01:10,370
we're already seeing.

46
00:01:11,305 --> 00:01:12,339
At least right now

47
00:01:12,406 --> 00:01:12,973
what we're seeing in

48
00:01:13,040 --> 00:01:14,508
the data is that

49
00:01:14,575 --> 00:01:16,076
it has been a little tougher

50
00:01:16,143 --> 00:01:18,612
for new grads to find work.

51
00:01:20,214 --> 00:01:21,215
That's not unusual.

52
00:01:21,281 --> 00:01:21,715
Like I said

53
00:01:21,782 --> 00:01:22,549
in a down period

54
00:01:22,616 --> 00:01:23,851
but we are seeing some

55
00:01:23,917 --> 00:01:25,085
indications that there may be

56
00:01:25,152 --> 00:01:25,819
some other things

57
00:01:25,886 --> 00:01:27,554
going on there.