• Thought Leadership
  • McKinsey Digital Future of Work Summit: Skills that will count in the future

Susan Lund:

I think for young people today, what's clear is that they're gonna need to continue to learn throughout their lifetime. The idea that you get education when you're young and then you stop and you go and work for 40 or 50 years with that educational training and that's it? That's over.

All of us are gonna have to continue to adapt, get new skills, go back, possibly, for different types of training and credentials, but I think what's very clear is that what our kids need to do is learn how to learn and become very flexible and adaptable.

Arun S.:

The future of work that a college graduate is looking at today is so different from the future of work that I looked at when I was a college graduate. There's far less structure. There's far less predictability. You don't know that you can invest in a particular set of capabilities today, and that they will be valuable in 20 years.

We used to be able to say, "Well, this is the career I'm gonna choose." That's a difficult bet to make today with so much change.

Vasant Dhar:
I think more generally, what I tell students is that it would help if you had the skills that are required to deal with information. Those are the core skills that are necessary these days to help you learn new things. This ability to learn things on your own, to some extent, will be driven by the core skills you have and you can deal with information, handle and process information.

Tom Siebel:
I think the most important message is you need to prepare for yourself. I think if we're waiting for people who are sitting in the back waiting to be candidly taken care of by a welfare state, I don't think that's a very good answer.

James Manyika:

We actually found that, for example, something like 60% of all occupations have on average 30% of the activities in those occupations that are automatable.

What does that mean? It basically means that we're gonna see more people working alongside machines whether you call that artificial augmentation or augmented intelligence, but we're gonna see a lot more of that.

That's actually quite important 'cause it raises a whole sense of imperatives. It means that more skill is gonna be required to make the most of what the machines can do for the humans.

Anne-Marie S.:

I'm the mother of two teenage sons, 18 and 20. I think about, "How do I advise them" all the time. What I tell them is it matters far less what they choose to study than the skills they build.

I advise them to hone creative skills. I've actually got an actor and a musician, so that's not hard. But I tell them to think about analytic skills, creative skills, human skills, the self-presentation, being able to connect to others, being able to sell in the sense of persuade.

Katherine F.:
They're gonna need skills that they can only get by doing things. Every time they're given the opportunity to do something, they should say yes to it, even if it doesn't strike them initially as being exactly what they want to be doing.

Jeff Wald:
What are you passionate about? Does that map to what skillsets are needed to become a subject matter expert in a skillset that will have demand, and then be capable of marketing and monetizing that?

Allen Blue:
Look for that first job to be one where you learn not the specifics, but where you learn the generalities about actually thriving in the world of work.

Allen Blue:

I think of my own son, who's 16, and on the one end I think he should study science and he should understand systems, but would I tell him just to focus just on coding? I actually don't think I would. Machines aren't going to be very good at coding, by the way. Would I ask him to focus just on statistics? No, 'cause I think machines can calculate statistics and analytical things incredibly well.

But I think it's important to understand how statistics work. I know that's what he's gonna be doing 'cause he needs to understand that, and every more system that will view of those things and be able to think in a computer science-like way and understand systems and engineering systems.

Mike Rosenbaum:

Actually, the skills that I would recommend an 18-year-old think about may or may not fit in the traditional definition of skills, is try stuff that you never thought about. If you try things that you never thought about, you may find that you have skills and talents that you never realized you had.

Being able to challenge your own assumptions about what you're good at and what you can do creates massive opportunities to put yourself on a path that'll make you happy and successful.