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AI and Jobs series: How entry level jobs are changing in an AI era

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AI and Jobs series: How entry level jobs are changing in an AI era

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0:01

Welcome to Meet the Leader, the podcast

0:04

where top leaders share how they're

0:06

tackling the world's toughest

0:07

challenges. In today's episode, the

0:10

third in my AI and job series, we talk

0:13

entrylevel workers, what's changing for

0:15

the future of the workforce, and what

0:18

the leaders need to get in place. Now,

0:20

subscribe to Meet the Leader on Apple,

0:23

Spotify, and wherever you get your

0:25

favorite podcasts. Don't forget to rate

0:27

and review us. I'm Linda Lasina from the

0:30

World Economic Forum and this is Meet

0:33

the Leader.

0:34

>> How do you create that experience for

0:37

entry- level workers to create those

0:39

skills which traditionally have been

0:41

developed through if you like the

0:42

apprenticeship of you know doing the

0:44

work and sitting in a room and watching

0:46

and listening. How do you recreate those

0:48

experience and focus on the learning

0:49

required such that in five seven 10

0:52

years time we've got leaders coming

0:54

through the pipeline to take on the

0:55

mantle within the organizations around

0:57

the world. Each new generation inherits

0:59

their own tricky new job market. But the

1:02

latest crop of entry-level workers faces

1:04

a special challenge as AI automates the

1:07

rope tasks that these [music] workers

1:08

classically took on. What does the first

1:10

job even look like? No shortage of

1:13

experts have rung their hands over some

1:15

key existential questions like will

1:18

these roles just be destroyed? Or if

1:20

they aren't, how will they transform?

1:23

But critically, how can First Jobs still

1:26

serve their unassuming, overlooked, but

1:29

all important role as apprenticeships,

1:31

as training grounds for sectors

1:33

schooling workers on the critical

1:35

thinking, collaboration, and

1:36

relationship skills needed in any

1:38

sector. We have some thoughts in this

1:42

latest episode in my AI and jobs series.

1:44

We'll dig into a special report released

1:47

just last [music] month from the World

1:48

Economic Forum on AI and entry-level

1:51

jobs. We'll speak to the co-author who

1:53

shares some of the findings that both

1:54

surprised him and have him optimistic

1:57

for [music] what's ahead. He also

1:58

explains why some of the most dire

2:01

headlines we've been hearing about

2:02

what's ahead for new workers aren't

2:04

really taking shape. Should stay till

2:05

the end where we talk to a select group

2:07

of HR execs and leaders from our chief

2:10

people [music] officer community on the

2:12

advice that they wouldn't give new

2:14

workers any other year. They also share

2:16

the advice they give their own children

2:18

to navigate this uncertain job market.

2:21

It's advice that can help and inspire

2:23

anyone. We'll start with Peter Brown. He

2:25

is the global workforce leader at PWC

2:28

and he talked to my colleague Katarina

2:30

Gordichuk at Summer Davos, the annual

2:33

meeting of the new champions in Dian

2:35

China this June about our special report

2:38

AI and entry-level skills. They'll get

2:40

us started with why entry-level roles

2:43

have been such a hot topic of

2:45

conversation. Given the impact AI is

2:48

having on the world of work, I think it

2:50

puts a magnifying glass particularly on

2:51

entry level because if you think of how

2:53

jobs are broken down, you know, it's

2:55

right in the if you like in the

2:57

forefront of where AI is, you know,

2:59

really I think forcing those

3:00

organizations are getting head to

3:02

redesign work. So look, I'm I'm the

3:04

father of a 20-year-old. So the whole

3:06

topic around, you know, what do I do

3:08

coming out of college, you know, AI is

3:11

is is changing the the world of work.

3:13

There's there's other factors I think

3:14

influencing the world of work. You know,

3:17

beyond the disruptive technology, we've

3:19

got geopolitical tensions, you rising

3:21

pressures on, you know, on the economy.

3:24

We've got supply chain tensions. We've

3:26

got the demographic challenges. We do

3:28

lots of research around, you know,

3:29

what's on the mind of workers. And one's

3:32

called hopes and fears. It's the largest

3:33

survey of workers around the world. Um,

3:35

some 55,000 workers. when we put a lens

3:38

on that younger workers in particular,

3:41

they're more um optimistic around AI

3:44

than they are anxious. But that said,

3:46

you know, I'm a realist. We're all human

3:48

beings. You know, actually, we know also

3:50

workers around the world are feeling the

3:52

cost of living crisis, right? So, if

3:54

you're a young person coming into the

3:55

world of work, I can understand why they

3:57

are slightly, you know, why they are

3:59

concerned.

4:00

>> You mentioned entry- levelvel jobs are

4:02

kind of under the microscope when we

4:04

think about artificial intelligence. Why

4:06

is that the case? Why is it that we are

4:08

thinking of them as a separate category

4:10

that that group of people who are just

4:12

trying to get their first job?

4:13

>> Well, I don't actually think of them as

4:14

a separate category in relation to AI. I

4:18

think AI is changing the nature of work

4:20

at all levels, whether you're entry

4:21

level or somebody approaching

4:23

retirement. But I think if you think the

4:26

debate is often around AI and impact on

4:28

jobs and I think what our AI jobs

4:30

barometer which we released last week is

4:32

showing is actually the story is

4:34

actually much more around productivity

4:36

and skills. So in those sectors most

4:39

exposed to AI what we're seeing that the

4:41

organizations that are getting ahead are

4:42

seeing you three times growth in

4:44

productivity. Um yeah that's where the

4:47

work has fundamentally been redesigned.

4:49

So why is that happening when people

4:51

talk about redesign work? One thing

4:53

they're not doing is just layering AI

4:54

on, bolting AI onto existing ways of

4:57

working. Okay, some organizations have

4:59

done that in the chase of efficiencies

5:01

and you might get some incremental

5:03

efficiencies. You don't see the

5:05

long-term value. The organizations

5:07

getting ahead are fundamentally breaking

5:10

down work and working out what what is

5:12

the outcome they're trying to achieve?

5:14

What's the role of technology? What's

5:16

the role of the human being? Now if you

5:19

break down a job into tasks and skills

5:21

that's where I think AI is really coming

5:23

to play because there are certain tasks

5:26

that absolutely can be you know lend

5:27

themselves to be automated um cognitive

5:30

repetition um a AI comes to the four

5:34

there then back to your question around

5:36

why entry level getting the focus

5:38

because actually in those entry level

5:39

jobs much of of what the tasks they've

5:42

done traditionally can be automated but

5:45

what can't be automated is actually what

5:47

the the skills that are in huge demand

5:51

two times growth rate in the AI exposed

5:53

sector they're human skills judgment

5:55

problem solving critical thinking

5:57

relationship building that's the

5:59

fundamental question for leaders how do

6:01

you create that experience for entry-

6:04

level workers to create those skills

6:06

which traditionally have been developed

6:08

through if you like the apprenticeship

6:09

of you know doing the work and sitting

6:12

in a room and watching and listening how

6:14

do how do you recreate those experience

6:16

and focus on the learning required ired

6:18

such that in 5 7 10 years time we've got

6:21

leaders coming through the pipeline to

6:22

take on the mantle within the

6:24

organizations around the world. I think

6:26

it's I think there's a responsibility of

6:28

business leaders of policy makers of

6:30

educators to actually make sure we

6:32

intentionally design those experiences

6:34

such that young people can can gather

6:36

them and gain them such that they do

6:39

have the confidence when they go go into

6:40

the world of work. We know from our

6:42

research that um on entry- level skills,

6:45

employers are asking for seven times

6:47

greater what we would call seniorized um

6:50

skills. Skills that historically would

6:52

have developed in the first three to

6:53

four years. They're asking for those up

6:55

front. So, how do you create those? It's

6:58

not going to happen by osmosis. You've

6:59

got to be intentional about how you do

7:01

that. My encouragement to young people

7:05

is you again to take to take heed from

7:08

from history. you know, we've se after

7:09

every sort of revolution um in the world

7:12

of work, there's always been a net

7:14

increase in jobs. They're just different

7:15

jobs. And I've said for a long time, you

7:17

know, you can you can um protect people.

7:20

You can't protect jobs. Jobs will

7:22

change. They'll evolve. I think the

7:23

difference in in the current era is the

7:25

speed of that change. It's happening so

7:27

so quickly. But I think my my

7:29

encouragement to young people is you

7:30

take to take take take

7:32

be optimistic around the opportunity AI

7:35

brings but recognize that whereas in the

7:37

yesterday year organizations would hire

7:39

for if you like domain technical

7:41

expertise I think now yes you need

7:44

domain expertise but you also need what

7:46

I call AI fluency so for young people

7:49

take any opportunity to work with AI to

7:51

experiment with it to create the agility

7:53

the adaptability

7:55

but the other ingredient that employees

7:57

are al also seeking are those you know

7:59

people with those human skills the ones

8:00

I mentioned earlier on so for me taking

8:03

any opportunity where you're leading

8:04

where you're organizing where you're

8:06

bringing people you know a group of

8:08

people through some through some kind of

8:10

journey where you have to have diff you

8:12

learn to have difficult conversations

8:13

manage conflict um learn to build

8:16

relationships learn to speak and

8:18

communicate clearly any opportunity to

8:20

do that be that at school or at

8:22

university or at college you know I' I'd

8:24

embrace with with open arms

8:26

>> from experience PWC. What are some of

8:29

the ways that experiences could be

8:31

redesigned for entry- level workers?

8:32

>> Well, I think you know we like everybody

8:34

else are on this journey, right? So, I

8:36

wouldn't for one minute say we've got it

8:37

cracked, but we have made great progress

8:39

in terms of how we are intentionally

8:41

redesigning the the experience and work

8:44

across all our organizations. We have to

8:46

continually evolve, develop, reinvent to

8:48

maintain relevance to our to our

8:50

customers. When I joined PWC, I think

8:53

there were at least 17 18 ways you could

8:56

join at the entry level perspective.

8:58

It's now down to about five and it will

9:00

change again. Again, when I joined it

9:02

was people from certain degrees and that

9:04

there that there were certain

9:05

universities that we hired from. Again,

9:08

we've we've be we're much more diverse

9:10

and inclusive in terms of how we do that

9:11

in terms of the the people we hire and

9:14

we hire very much more now for potential

9:17

and skills as opposed to sort of badges

9:19

and career titles. And and then we've

9:22

been very intentional around the

9:23

experience our colleagues have when they

9:25

join in those early years. And I I think

9:27

it's a much broader experience which if

9:30

you like in terms of we know from from

9:32

the hopes and fear survey again workers

9:34

want flexibility and they want to be

9:36

able to apply their skills in a variety

9:38

of contexts not just in one particular

9:40

area and I think by by the way we've

9:43

changed our experience allows for that

9:45

sort of to create much greater agility

9:47

in the workforce which I think it works

9:49

for the for colleagues but also as a

9:52

business it works because it means we

9:53

can actually apply you know the right

9:55

skilled people in the right place at the

9:57

right time much more consistently.

9:59

>> You're the co-author of the new report

10:01

that we published with the World

10:02

Economic Forum and PWC and I was

10:06

wondering what are some of the findings

10:07

that surprised you the most in that

10:09

report.

10:09

>> So, so the report um artificial

10:12

intelligence and the impacts on future

10:14

entry- level workers um it's been a

10:16

fantastic collaboration. What surprised

10:19

me I think back to the whole debate

10:20

around AI and jobs which is something

10:23

that you know if we wanted to draw a

10:25

headline we could do that very easily

10:26

right and we see that all the time dare

10:28

I say sometimes those headlines aren't

10:30

backed up by evidence and data this

10:33

report really is lots of organizations

10:35

have been interviewed seeing exactly

10:37

what they're doing and I think my pos

10:39

positive message was that in many cases

10:42

they're actually increasing their hiring

10:43

at that entry level so there there's

10:45

there's a couple of um organizations in

10:47

there where you know they talk about how

10:49

they're specifically hiring more and

10:51

actually intentionally redesigning the

10:53

experience in in one organization. and

10:56

it talks about hiring 25% more um

10:59

against a rationale of if we don't

11:01

invest in the the start of the pipeline

11:03

how how are we going to have leaders in

11:05

five 10 years time right so that I was

11:07

encouraged by that another one was

11:09

actually was a large technology company

11:12

um where again there's often a a view

11:14

that actually well it's coding so it'll

11:16

be a machine so you don't need human

11:17

beings they're actually saying no

11:19

actually for their coders that they're

11:20

bringing on they're actually still

11:22

develop developing them in fundamental

11:24

coding experience

11:26

before they're sort of letting them

11:27

loose into the AI world. Why? Because

11:29

they want coders who have got that human

11:31

judgment, you know, because at the end

11:33

of the day, it's the humans that will be

11:34

making the decisions, not the the

11:36

technology. So, they want their coders

11:38

to have that human judgment such they

11:40

can make better decisions going forward.

11:42

So, great examples for me of humans and

11:44

technology working together. I have some

11:46

data here showing that 81% of employers

11:49

surveyed in the report say they

11:50

prioritized applied experience actually

11:53

and 34% said they prioritize degrees.

11:55

How do you view this interesting

11:57

dynamic? Do you think this could be a

11:59

catch 22 for graduates? How should they

12:02

perceive this skills versus degree

12:05

dilemma?

12:06

>> I think I think the catch 22 you

12:07

describe is a understandable dilemma.

12:10

We've got workers who um sort of

12:12

employers who are seeking entry- level

12:15

workers with sort of applied experience

12:18

and yet the paths to get that experience

12:20

in order to get through the door in the

12:22

first place are can appear to be quite

12:25

challenging. So I think it's around

12:27

making sure we have a a variety of

12:30

routes into that into that world of

12:32

work. Yet for some people going to

12:34

university and getting a degree is

12:35

absolutely right for them. for others a

12:37

more apprenticeship um appro approach

12:40

makes sense but and I think there are a

12:43

variety of uh ways in which we can

12:46

prepare young people but I think that

12:48

requires a lot more focus from business

12:51

leaders from educators from policy

12:53

makers to actually make sure that we're

12:55

doing that it's not again it's not going

12:56

to happen by accident we've got to be

12:58

very intentional about that and I think

12:59

that requires a um a lot of

13:02

collaboration across organizations to to

13:04

make that happen

13:06

>> what do you think people misunderstand

13:08

about AI and the future of work. What

13:10

are some things that often people have a

13:13

certain notion of and you wish to

13:15

clarify? I think the two biggest

13:17

misconceptions for me um are one is that

13:21

AI automatically means job loss right

13:24

for me it's actually around it's around

13:25

around the productivity and the skill

13:27

story and much more around work design

13:30

and indeed that's what what our data is

13:31

consistently showing us you know we are

13:34

seeing that those organizations that are

13:36

getting ahead are redesigning work and

13:38

they're seeing greater levels of

13:39

productivity revenue per employee and

13:41

actually we're seeing an increase in in

13:44

their hiring there as well I think the

13:46

second misconception is that AI

13:48

automatically means that human skills

13:52

become uh less important and actually

13:54

we're seeing the reverse actually as AI

13:56

is getting more advanced actually the

13:58

requirement for more advanced human

14:01

skills is increasing hence why I will

14:04

keep talking about the importance of

14:05

developing people with those those human

14:07

skills those skills that AI can't do

14:10

>> and acknowledging I guess that the world

14:12

of work is changing already not being in

14:14

denial about it the change is is well

14:16

advanced, right? Um and I think you when

14:18

people come and talk about the future of

14:19

work, well that's now, right? So I think

14:22

that's the urgency given the pace of

14:24

change. This is not something we can

14:26

just sit idly by and hope, right? That's

14:29

not really a strategy. We've got to be

14:30

intentional. We've got to work together

14:33

to actually make sure that we're

14:34

preparing young people for the world of

14:36

work now and for the next 20, 30, 40

14:39

years. H

14:40

>> we were lucky to have a host of chief

14:42

people officers and HR leads in our New

14:45

York office this spring. I'll finish

14:47

this episode with the advice they'd only

14:49

give new grads this year. We'll start

14:52

with Karina Cortez. She's the chief

14:54

people officer at Cornerstone on Demand.

14:57

She'll share the risks to avoid, how to

14:59

think beyond the task at hand, and to

15:01

lean into your fears. So my advice for

15:04

new grads that I think is a lot

15:06

different than than what I would have

15:07

done previously is to focus on the

15:11

outcome or the wisdom uh versus the

15:13

task. Again, when I think about how I

15:16

grew up and how a lot of my um cohort um

15:19

that came into the the workforce came

15:21

in, it was doing a lot of the task work.

15:23

It was understanding how something

15:25

worked. What was the whole process? Can

15:27

we continuously improve this process?

15:29

That's all being done by technology

15:31

nowadays. So what's really critical now

15:34

is to focus on what's going to happen as

15:37

a result of that and then what are the

15:39

critical thinking skills or what is the

15:42

accountability I need to put on top of

15:43

that. Um and so I think that's a lot

15:45

different than what I would have been

15:47

asking people to think about previously

15:49

as they're they're new grads coming into

15:50

the workplace. The risk is if someone

15:53

does not focus on outcome and is is

15:55

really task based is that role is going

15:57

to be obsolete. Um, we just keep seeing

15:59

that day after day of the routine work,

16:03

the efficiency plays, those are going

16:05

into place in a lot of organizations

16:07

because we want humans, we want people

16:09

to focus on higher order work. We want

16:11

them to be much more strategic. We want

16:14

to understand how we can keep up with

16:15

our competitors in the marketplace etc.

16:18

much more quickly than we have been

16:19

before. So if we're focusing if you as a

16:22

new grad are focusing just on the tasks

16:24

to be done, you're going to get left

16:25

behind from the people who are actually

16:28

able to level up if you will and really

16:30

think about the outcome impact um that

16:32

that that initiative or project that

16:35

you're working on um is going to have.

16:36

Yeah. Words of comfort I would give to

16:38

anyone entering the workforce for the

16:40

first time is something I wish I would

16:42

have learned earlier in my career is if

16:45

you're scared, do it anyway. I think

16:47

that those opportunities where I had the

16:50

most fear, I had the most trepidation. I

16:52

didn't know what was going to come next.

16:54

I I love to plan things. However, the

16:56

opportunities that I jumped into where I

16:59

was feeling those things have been where

17:01

I have learned the most and I think have

17:03

made me the leader I am today have made

17:05

me the person I am today, the mother,

17:07

um, etc., etc. So, jump into that, lean

17:10

into that, uh, lean into the fear and I

17:12

think you'll do a lot of learning and

17:13

growing if you do so. Leaning into the

17:16

fear and and leaning into the yes, if

17:17

you will, is really important in this

17:19

fastchanging environment because if you

17:21

can lean into that fear and try

17:23

something new out, you're going to learn

17:25

so much more yourself. You are going to

17:26

now have an applicable experience to

17:29

apply to something else. I am very

17:31

forthright with my team, by the way, and

17:33

letting them know, look, I'm taking

17:35

myself a vibe coding class because I I

17:37

want to understand what we're asking

17:39

other people to do. Does it scare me?

17:41

Yes. I'm not a technologist by nature. I

17:43

I went into the human resources field uh

17:45

for a very specific reason, but I also

17:48

understand that if I don't, I'm going to

17:49

get left behind because I'm not going to

17:51

understand enough. And so I think to

17:53

stay current, it is this opportunity to

17:55

keep leaning into new things, trying new

17:57

things out, figure out what works and

18:00

what doesn't for you. Um just because

18:01

somebody else likes it and loves it

18:02

doesn't mean it's going to work for me,

18:04

but I'm not going to know that unless I

18:05

try it.

18:06

>> Maria Flynn is the CEO of Nonprofit Jobs

18:08

for the Future. You might remember her

18:10

from last week's episode on fixing the

18:12

skills mismatch. You'll want to bone up

18:14

on that one. But here's the advice that

18:16

she is giving her daughter. Advice

18:17

that's valuable to workers of any age.

18:20

>> My oldest daughter is graduating in May,

18:22

so I'm I am living this in in real time

18:24

and talking with her and a lot of her

18:26

her friends. I would say two things

18:29

really come to mind. One is where you

18:32

start is not going to be where you

18:34

finish, right? So, it's like

18:35

understanding that even in the best of

18:38

times, that first job is likely not

18:41

going to be your dream job. And I even

18:44

say to my daughter, you know, I I wasn't

18:45

a CEO coming right out of [laughter]

18:47

college. You know, I was an entry- level

18:49

government worker working with, you

18:50

know, five other women in Philadelphia.

18:53

You know, it was not a glamorous uh

18:54

lifestyle. But wherever you start,

18:57

really be sure that you are learning

18:59

from that experience. Both in terms of

19:02

really identifying the skills that

19:04

you're learning, identifying what you

19:06

like and don't like about that

19:07

experience and how that can help you

19:10

guide to your next thing. So, it's

19:12

really, you know, understanding that

19:14

nothing is forever, right? Like your

19:16

first job is not going to be the job you

19:18

have forever. And but yet every job,

19:21

including that first job, can really

19:23

give you a wealth of information and

19:26

experience and skills that you can build

19:28

upon.

19:28

>> We'll finish this episode where we

19:30

started with Peter Brown. Here's his

19:33

advice for entry- levelvel workers. It's

19:35

a reminder on passion that can give even

19:38

veteran leaders a north star during an

19:40

uncertain time. I think a number of

19:42

things I would I would suggest and again

19:44

with my own children I try and sort of

19:47

have this kind of conversation with them

19:48

is first don't lose that excitement

19:50

right what are you passionate about and

19:52

where possible can can you follow that

19:55

passion and do something that you really

19:57

enjoy where you think you can make a

19:58

difference so I think do something

20:00

you're passionate about I think secondly

20:03

I would say don't necessarily view it in

20:05

terms of traditional jobs view it in

20:07

terms of skills right as as the world of

20:10

work is changing the focus on skills is

20:12

much more profound and I think there

20:14

there in that skills lens you know yes

20:17

there's there'll be an area of domain

20:19

tech your if you like your technical

20:21

skills that you're going to focus on but

20:23

actually align to that I think take any

20:26

opportunity to you know to to experiment

20:29

with AI tools to get that experience to

20:32

apply it in whatever context you're in

20:34

and create that agility and that sort of

20:36

fluency and thirdly I think that focus

20:38

around developing those human skills

20:40

which we know are in such high demand

20:43

particularly at entry level. So any

20:44

opportunity to to learn leadership

20:46

skills, to develop relationships,

20:49

teamwork, problem solving, critical

20:52

thinking, really easy to say, hard to

20:54

do, but take any opportunity. Um, and

20:57

there's all sorts of contexts of young

20:59

people where they can, you know,

21:00

potentially go and develop those skills.

21:03

>> And that's the final episode in our AI

21:05

and job series. Thanks so much to all of

21:07

the leaders who have talked to me and my

21:09

colleagues for this series. If you know

21:11

someone wondering what's ahead for AI

21:14

jobs and skills and [music] really that

21:15

should be everyone, send them this

21:17

episode. I mentioned our AI and

21:19

entrylevel jobs report. I'll have a link

21:21

to that in our show notes as well as the

21:23

PWC reports Peter mentioned the hopes

21:25

and fears survey and PWC's global AI and

21:28

jobs barometer. To listen to more

21:31

podcasts, including my colleagues

21:32

podcast, Radio Davos, go to w.ch.

21:35

ch/mpodcasts.

21:37

This episode of Meet the Leader was

21:38

produced and presented by me with

21:40

Sheamus Hart as editor and Gareth

21:42

[music] Nolan driving studio production.

21:44

That's it for now. I'm Linda Lina from

21:47

the World Economic Forum. Have a great

21:49

day.

Interactive Summary

This episode of Meet the Leader, part of a series on AI and the workforce, explores the challenges and opportunities for entry-level workers in an era of rapid AI integration. Experts from PWC and other organizations discuss how companies are redesigning roles, the shift from task-based work to outcome-based work, and why essential human skills—like critical thinking, judgment, and relationship-building—are becoming increasingly valuable. The podcast also offers practical advice from HR leaders to new graduates on how to navigate this changing landscape, emphasizing the importance of staying adaptable, being intentional about skill development, and leaning into new, often uncomfortable, experiences.

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