LinkedIn CEO: These 3 Jobs Will Explode in the Next 5 Years | Ryan Roslansky

At least in the US, 50% of college graduates this year will graduate either unemployed or undermployed and credit card debt is being outpaced by student loan debt for the first time in history.

>> This is Ryan Rosslansky, CEO of LinkedIn. He took LinkedIn from 7

LinkedIn. He took LinkedIn from 7 billion to 17 billion in revenue and crossed a billion members by betting big on AI, smarter hiring tools, skills-based matching, and a massive

push into video. LinkedIn is that the definitive labor market platform of the world. We have amazing insights into

world. We have amazing insights into actually what is happening across the world.

>> His data doesn't predict the job market.

It is the job market. What about entry- level jobs?

>> Entry- level jobs across the world right now, the hiring rate that we see are down roughly 12%. While we see that hiring is sluggish across most markets, the reason that it's sluggish doesn't have anything to do with AI.

>> Do you think college is just kind of fading away? And when I talk to people

fading away? And when I talk to people about what they should do with their career, it's less about where do you want to be in 5 years and it's more about over the next few months like what new skills do you want to learn?

>> So what are the top skills people should be adding to their LinkedIn right now?

>> This you know this huge demand on >> Ryan thank you so much and welcome to Silicon Valley girl.

>> Great to be here.

>> I am so happy to have you. So you're the CEO of LinkedIn and also executive vice president of Microsoft Copilot uh and Microsoft Office and we're at Davos today.

>> Yes.

>> So what is everyone talking about? I

think there's a lot of the things that I'm seeing, but I think one of the things that's probably most interesting to you potentially is I think if we were here maybe like three years ago, a lot of the conversations we would be having

would be with traditional media. And

this year, it's amazing to see kind of the creator influence like up and down the prominade and kind of the role that creators are playing in this new economy. And you know, we see it on

economy. And you know, we see it on LinkedIn. There's four million members

LinkedIn. There's four million members now that uh their official job title is creator. And it's just amazing to watch

creator. And it's just amazing to watch this kind of new industry explode to where it is today, be recognized at Davos, for example.

>> That is amazing and I'm happy to be part of it. It's amazing to see starting 12

of it. It's amazing to see starting 12 years ago and being a creator now is just a huge huge difference. Uh what do people say about AI? Do you think people hear more positive or negative?

>> It's interesting. I think people are all over the place because um their kind of opinions are based on what they heard from the last conversation. What I love about LinkedIn is that as the

definitive, you know, labor market platform of the world, we have amazing insights into actually what is happening uh across the world. And it's

interesting while we see that hiring is sluggish, you know, across most markets, the reason that it's sluggish doesn't have anything to do with AI in our opinion. It's actually more due to macro

opinion. It's actually more due to macro conditions, um, interest rates, not AI.

As it relates to AI, we see something totally different. There's actually been

totally different. There's actually been almost, you know, 1.3 million brand new net jobs on LinkedIn for AI roles like

data annotators. Um, over 600,000 new

data annotators. Um, over 600,000 new data center jobs uh exist on LinkedIn.

Um, you know, for deployed engineers that companies need to understand AI.

So, at least in terms of what we're seeing in the LinkedIn data right now, AI is a net positive addition to the job market, not something that's detracting jobs. That's great. But what what about

jobs. That's great. But what what about entry level jobs?

>> So entry- level jobs uh across the world right now, the hiring rate that we see are down roughly 12%. But they are not disproportionate to any of the other jobs. So they're down just as many much

jobs. So they're down just as many much as all the other jobs in the world. I

think kind of what I was saying before, a lot of that contraction is due, you know, large part to macroeconomic uh kind of in kind of climate and interest rates and, you know, um you know,

companies investing less in general. So

then the question becomes what do you know any professional you know even professionals do and you know we're seeing kind of two trends emerge one the the one that I said which is that um you

know micro entrepreneurship you know a rise in creators which is that hey if if the traditional path doesn't exist I need to take my career into my own hands uh and number two a real affinity now

towards trade roles and I think if you go back a couple years ago um you know people weren't as into these trade rules as they are right now, but especially kind of Gen Z sees as a much safer

option.

>> What do you mean trade uh like like firstline jobs um you know typical like trade roles not office jobs >> and they see those as more resilient in

an AI world. These are the types of jobs that AI probably won't take. Uh so we're seeing more affinity towards that as well.

>> Interesting. Have you seen like a huge uptick in creator? uh like when people put creator as job title >> right now there are 75 million people on

LinkedIn that somewhere in their profile say they're a creator and there's 4 million people that say they're complete 100% full-time job is creator so it's

fantastic and look at what you started >> how do career paths change because you also track people through their career inside the company you start as I don't know assistant and go up and up But

because um I think I heard you at one of the conference talking that a lot of people are hiring generalists now. So

you don't necessarily climb up the ladder. You expand horizontally

ladder. You expand horizontally acquiring new skills. Do you see that trend as well?

>> So I think first and foremost the really important thing like since the beginning of LinkedIn the feature that is requested most from members is show me what a typical career path is supposed

to look like. LinkedIn you have all this data. So if I want to become a CFO or a

data. So if I want to become a CFO or a CEO or an accountant or whatever, what is the path that people take? And the

reality is in the data there is no such thing as a linear career path. Like it's

all over the place. So the more that people first and foremost recognize that you have to take your career into your own hands. There's no natural path that

own hands. There's no natural path that exists that you just get on, I think is is really really important. Right now

it's more important than ever though because uh you know skills are changing.

The uh that the types of skills that are necessary for a specific role on LinkedIn have changed north of 25% you know over the last couple years alone.

We expect they'll change by 70% by 2030 largely influenced by AI and new tools and new ways of doing these professions.

So, um, you know, my, you know, I I often when I talk to people about what they should do with their career, it's it's less about where do you want to be in five years, and it's more about over the next few months, like what new skills do you want to learn? Because to

your point, these roles are flattening.

General lists are more and more where people are going these days.

>> So, what are the top skills people should be adding to their LinkedIn right now?

>> It's funny, there's this, you know, this huge demand kind of on both sides of the spectrum. Obviously like AI literacy is

spectrum. Obviously like AI literacy is important and I think no matter what your role your profession you know familiarizing yourself with these tools

is a really really smart investment in your own career you don't have to love them you don't have to use them all the time but just familiarizing yourself putting yourself in the mindset that I'm

going to figure out how I can be better at my job through AI is one thing so a set of AI skills but just as important on the other side are human skills

curiosity creativity courage communication, uh, compassion, the ability to work with other people, the ability to sit down with someone and actually have a

conversation. You can't just be mired in

conversation. You can't just be mired in using technology in a bubble and be successful. Uh, in a lot of work

successful. Uh, in a lot of work settings, you have to be able to, you know, disagree and commit with someone to be able to communicate with someone to help galvanize people to get something done. So I think the key right

something done. So I think the key right now is that combination of you know you know learn those AI skills and then if you got a way to be strong on those you know you know more human skills they're

typically called soft skills. I think

that's a misnomer. They don't you know soft kind of feels like it's less important. I think they're more

important. I think they're more important than ever.

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right, now back to our interview.

>> When you talk about soft skill soft skills, as someone who hires on LinkedIn, uh I don't really sort people by like creative, whatever, but I I read their posts.

>> So, what I found really helpful in hiring is that now we hire based on content that they post because it shows their personality. It shows how deep

their personality. It shows how deep they are in the subject. We just hired a YouTube strategist who's amazing >> and we hired them him purely based on what he was posting about building a YouTube channel.

>> I love that. So we we always thought that um the extension of your LinkedIn profile isn't just where you went to school, where you've worked, what skills you have, but the ability to demonstrate

the actual knowledge that you have in your head like by posting on LinkedIn.

And it's awesome to hear that you use that as a way to understand someone's identity better.

>> Yeah. You don't have to jump on a call.

You don't have to do anything. You just

read the posts. Yeah. Saves a lot of time.

>> So people post more on LinkedIn. That's

what >> also like as someone who started posting actively on LinkedIn last year.

>> Yeah.

>> And we made something that's equal to like a full-time salary just on LinkedIn. We grew from like 10,000 to

LinkedIn. We grew from like 10,000 to 50,000. Almost 50,000 in a year.

50,000. Almost 50,000 in a year.

>> Wow. Congratulations.

>> So it's LinkedIn is definitely the social network right now.

>> Thank you.

>> Thank you for that. By the way, any tips to grow on LinkedIn? You know, LinkedIn is unique because our platform exists to create economic opportunity for every

member of the global workforce. Our feed

exists as a mechanism to showcase your identity. Exactly the story that you

identity. Exactly the story that you just told so that if I'm trying to get hired or I want to make a name for myself in a specific field, the content

that I share is a way to do that. Other

platforms tend to stem from you know uh their vision is around you know entertainment or uh you know large engagement. Our largest business is in

engagement. Our largest business is in recruiting. Um so we don't come at it

recruiting. Um so we don't come at it from a perspective of you know we're trying to help you get you know a gazillion likes or you know 10 billion views or something like that. We're

trying to help you create authentic content that only you can do based on the skills that you have, what you have in your head, get that on the platform to the right people who may be able to,

you know, uh, learn from that or do something with it or hire you because of it. And that's where we find success.

it. And that's where we find success.

So, I think that that's just a different mindset that we always tell people about using LinkedIn. Um, you may not get, you

using LinkedIn. Um, you may not get, you know, the views you get on so many other platforms, but the people you reach, the quality of the audience, the opportunities that come are what we're really trying to do.

>> You get the right views. Also, what I noticed as a creator, telling your personal stories, especially if they're tied to some events, >> Yeah.

>> really, really helps grow.

>> I think it's interesting. I mean, I think especially um, you know, more in the younger generation, it always kind of felt taboo to talk about anything that felt, you

know, not buttoned up and professional on LinkedIn. But, but more and more, I

on LinkedIn. But, but more and more, I think the next generation, um, not only are they okay with it, but it actually tells a lot more about who they are, their personality, what they know, how they think. Um, it's really kind of

they think. Um, it's really kind of refreshing to see that happen on LinkedIn.

>> Absolutely. Let's go back to our LinkedIn profiles. There's a huge

LinkedIn profiles. There's a huge section, education, right? And a lot of people would take like top university small courses just to have that name, right? Because it meant a lot. Do you

right? Because it meant a lot. Do you

think college means as much these days or because we can acquire any skill online is just kind of fading fading away?

>> So two things. One, um

I dropped out of college very early on and was really focused on the skills that I needed to start a company and be an entrepreneur. So I had kind of a

an entrepreneur. So I had kind of a mixed view on that. Um, I do know right now, at least in the US, 50% of college graduates this year will graduate either

unemployed or undermployed.

And credit card debt is being outpaced by student loan debt for the first time in history. So, there's something that's

in history. So, there's something that's not really working in the current system. I am nowhere close to going so

system. I am nowhere close to going so far as to say college isn't worth it.

the social experience, the learning to, you know, the soft skills and you being able to be around people and communicate, I think are critical. And

if you can, you know, if you're fortunate enough to be in a college environment to have that experience, I think it's really, really worth it. But

I think that it's really more about a lot of those soft skills um for most professions than the typical hard skills that we always thought about from college in the past. And more

importantly, you know, more and more now when recruiters or anyone looking to hire on LinkedIn or starting their process, they aren't looking at what school did you go to. They're looking at

what skills do you have or what did your last post look like so I know more about you. So, it's it's mattering less than

you. So, it's it's mattering less than it has in the past, what what school you went to.

>> Are you still betting on college for your daughters? Because I have three

your daughters? Because I have three daughters right?

>> Absolutely. And I think again I think a lot of the social um you know components of that are critical. It's a great place to learn how to grow up um to learn how to interact with other people um you

know to form a network um to make mistakes. And so um you know while I

mistakes. And so um you know while I never mandate anything that any of my children do you know so far at least my oldest one like that's the career path that that that she's taken and she's having a wonderful time.

>> Have you ever regretted dropping out?

>> I think I missed a lot of really fun years by leaving college early. That's

for sure.

>> All right. That's yeah still still a big question. Yeah.

question. Yeah.

>> So, you are releasing a book, Open to Work. Can you talk about how someone can

Work. Can you talk about how someone can use this book to navigate their future?

I feel like you're the best person to write this book, by the way, because you have all the data. You're seeing what's happening on the market and yeah, I'm looking forward to reading it.

>> Thank you. So, it's been actually kind of unique because I've spent 25 years building, you know, internet products where you can build a product and test it out with people and see what happens and then change it really quickly. when

you write a book, you write it and it's kind of final and you hope and you know pray that it goes out there and people find value out of it. So, we're excited to release uh it soon, but it's a book that was written to help people really

understand and bring some clarity to what career paths look like in an AI first world. There's a lot of

first world. There's a lot of uncertainty. I think people are scared.

uncertainty. I think people are scared.

They don't know where to start. They

don't know where to turn. This book acts as a guide to help you understand how to think through it. What AI can do, what AI can't do. um the importance of the human skills that that we just talked

about um and how you can you know kind of pull those two things together and figure out what you want to do with your career and make the best career path for yourself. um you know it's not a crystal

yourself. um you know it's not a crystal ball but you know it's we try and leverage a lot of the things that we know and see on LinkedIn to help people make right career decisions because it's so difficult especially when you're

starting out to to know what to do or how to think and right now there's just so much you know unique craziness in the world of you know what does AI mean for jobs and and

roles and skills so at the end of the day if we can help more people make smarter career decisions like that's what we're aiming to do and we do that every day through LinkedIn But we wanted to try something different approach as well uh for people who maybe aren't on

LinkedIn or just you know want to kind of see it in the book form. So

>> is there a principle from that book that you can share that people can use to guide their careers?

>> I think most importantly a lot of what I see on LinkedIn are people just absolutely hyperfocused on um the hard skills, the AI skills, the technical

skills and they're completely dismissing the human skills. So we talk about it in five C's that we think are critical for you to learn and to master that will

make you stand out in the future.

Curiosity courage creativity uh compassion, and communication. Like

learning and understanding the importance of those five skills uh are where I would invest the majority of my time right now as a professional. It's

interesting because we have a lot of tools on how to develop our hard skills, but when it comes to curiosity, how do you even acquire?

>> So, it's hard. I mean, some people are fortunate enough to be born with it.

Yeah. Um, but you know, we do a lot through LinkedIn learning to also help, you know, through the data that we have to, you know, teach techniques and how to think about a lot of these soft skills.

>> People think they can't be learned, but they actually really can be learned.

They need to be practiced like any other skill. But, um, again, I think it's kind

skill. But, um, again, I think it's kind of that misnomer that soft means it wasn't as important. and just kind of bringing that to the forefront I think is the most important thing right now.

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I've heard someone say uh in the next 5 to 10 years you either become an entrepreneur maybe with a new niche or you die. What would you say like die as

you die. What would you say like die as a >> I hope that's not the case.

>> Um I absolutely expect that AI is going to uh democratize access to opportunity in a way that so many people that have

always wanted to create something or start something um build a business be an entrepreneur will have the tools to do it. Um I don't think it's going to be

do it. Um I don't think it's going to be the only path but I do think we will see many many more entrepreneurs and I think that's a really really good thing.

>> Yeah. Yeah. Me too. Can you uh give me you think top three jobs for the next three year three to five years and >> top three as defined how

>> uh most in demand.

>> So right now um there's a role called data annotator. You know what this is?

data annotator. You know what this is?

>> No.

>> It's fascinating. So um anytime you use a large language model um at the end of the day the way that those models keep getting better and

better are there are many human beings that are you know being paid to evaluate the output of those models based on their expertise. So, you know, maybe

their expertise. So, you know, maybe you're a I don't know, a cardiologist is your full-time job in in in like, you know, the real world, in the real life, but um you know, a large language model

company is trying to make their model better for people who are asking questions around heart health.

>> They will take the response that the model's giving, actually hand it to, you know, the cardiologist and pay them to say, "Mark this up, you know, is this right or wrong? What do you and then

take that and put it back into huge companies that sourcing those people to.

>> Exactly. And so that role is >> I mean if you think about like every uh you know topic, every niche topic, every language like has to be covered through these models and there's so much

knowledge in people's heads that um I think that's going to be a really really um you know hot job moving forward. I

also think anything that has to do with building uh out data centers and these are all types of jobs. These are you know trade jobs, these are hyper techchnical jobs. These are you know

techchnical jobs. These are you know maintenance jobs um but building the infrastructure of data centers moving forward I think is going to be critical because in order for anything that's AI related to actually flourish there's a

foundation that needs to be put in place.

>> And then the last one I'm paying a lot of attention to um is actually something which is called a um you know a forward deployed engineer. And that sounds like

deployed engineer. And that sounds like a really kind of odd term, but basically what it means is when a company decides that they want to pull AI into their company, they want to better use AI.

Uh it's really a tricky like thing to figure out. And historically that was

figure out. And historically that was kind of up to the IT department to figure out. But this new role, you know,

figure out. But this new role, you know, a forward deployed engineer is someone that will sit in the actual business in the marketing department um in the product department uh who is really skilled at both business needs and

understanding how AI works to kind of make that connection inside of a company. So companies are frequently

company. So companies are frequently hiring these people right now to help, you know, not just make AI a cool thing we put in our company, but actually help it return real value to the business.

>> I love that.

>> And creator, that's my fourth really important job. Sorry.

important job. Sorry.

>> Thank you so much. Thank you. I feel

like we're on the rise this year. That's

awesome. And do you think there are any jobs maybe like three jobs that you think are disappearing?

>> If you think about everyone's job, your job, my job, anybody's job, um ultimately it's a set of skills and tasks. If you break your

job down like that and then you kind of think about the ability for each task to be automatable by AI, you can quickly see that if your job is just a set of

tasks that can be automated, you need to start finding a new job. So AI right now is really good at things like summarizing or um rewriting or

translating. So, you know, those types

translating. So, you know, those types of jobs where AI is good at those skills are the types of jobs where, you know, we both try and through our data help LinkedIn members who have those jobs realize, hey, here's some more skills

you should be adding, you know, to kind of, you know, future proof yourself. But

that's kind of the framework to think through maybe where jobs will be more impacted.

>> I love that. Thank you so much, Ryan.

That was so insightful. And I hope everybody who just watched you go and start posting on LinkedIn. I've been

telling this to everyone around me. My

husband started posting. He got a few thousand subscribers right away. So, the

algorithm is really working. Thank you

so much again for being here. Thank you.