Getting ready for the
future of work
Artificial
intelligence is poised to disrupt the workplace. What will the company of the
future look like—and how will people keep up?
Work is changing. Digital communications have
made remote work commonplace. The gig economy is growing. And advances in
artificial intelligence (AI) and robotics could upend the conventional
workplace. According to the McKinsey Global Institute, at least 30 percent of the activities associated with
the majority of occupations in the United States could be automated—including
knowledge tasks previously thought immune.
For workers of the
future, then, the ability to adapt their skills to the changing needs of the
workplace will be critical. Lifelong learning must
become the norm—and at the moment, the reality falls far short of the
necessity. The Consortium for Advancing Adult Learning and Development (CAALD),
a group of learning authorities whose members include researchers, corporate
and nonprofit leaders, and McKinsey experts, recently met in Boston for the
second year in a row to assess the state of the workplace and explore potential
solutions.
In a series of
discussions, CAALD members addressed the challenges facing individuals and society,
new ways to knit together learning and work, and the intriguing experiments
that companies are undertaking to help workers adapt to change.
Societal challenges
Bob Kegan, Harvard
Graduate School of Education: The number of employees who are operating in more
nonstandard, complex jobs is going to increase, while less complex work is
going to be increasingly automated. The time it takes for people’s skills to
become irrelevant will shrink. It used to be, “I got my skills in my 20s; I can
hang on until 60.” It’s not going to be like that anymore. We’re going to live
in an era of people finding their skills irrelevant at age 45, 40, 35. And
there are going to be a great many people who are out of work. What are you going to do about that? Or is work going to essentially become an elite
setting for more favored, privileged, complex people to live out meaningful
lives? That’s a disturbing question. It’s hard for me to believe that we’re
going to have a society in which half the people just don’t work. Work itself
is intrinsically meaningful. People need to go to work every day.
Jason Palmer, general
partner, New Markets Venture Partners: As a society, we have a big underinvestment in
education and training for older folks. There is a misconception that it makes
sense to spend $300 billion to $400 billion a year on college students between
the ages of 17 and 25 and then very little after that. But most Americans who need
higher education and postsecondary training are 35, 45, 55.
Maria Flynn, president
and CEO, Jobs for the Future: In a country with such imperfect career navigation
and lifelong-learning systems, plus the growth of the gig economy, we could end up worse off if we don’t start to change
now. On a broad scale, we have to think about the intersection of economic
mobility and the future of work, especially for those who are already left
behind in today’s economy. Without highly effective education and
workforce-development systems, those groups will fall further behind. That’s
something that worries me an awful lot.
Amy Edmondson, Harvard
Business School: We must view it
as a race to develop institutions to support lifelong learning. We need to move
fast because we’re playing catch-up, and this is a much harder game to play;
suddenly the numbers of people who need to learn fast are too big. Look at
Greece and Spain, where half of the people in their 20s there are unemployed.
Two things that human
beings don’t do well are thinking about the future and thinking about the
collective. The long term and the collective good will not naturally be taken
care of by the decision making of individual workers. So a motivating force is
needed to spur action, or else we slowly but surely will fail.
Claudio Feser, senior
partner, McKinsey & Company: That’s sobering, because it implies that leaving
human beings to themselves and saying, in effect, “Take care of your own
development” is probably not so fruitful. Whether it’s the state or whether
it’s companies, that means we will have social engineers who create
recommendations in which people are nudged, but also helped, to learn and
advance.
New skills needed
Bob Kegan: Work will increasingly be
about adaptive challenges, the ones that artificial intelligence and robots
will be less good at meeting. There’s going to be employment for people with
growth mind-sets, but fixed mind-sets are going to be more and more replaceable
by machines. We used to say things like, “You’re going to have 6.5 jobs over
the course of your career.” We should also be saying, “You’re going to have a
number of qualitative shifts in your own growth and capacity over the course of
your career.” That might be with the same employer, or it might be with 6.5
different employers.
Bror Saxberg, vice
president of learning science, Chan Zuckerberg Initiative: A lot of work that will
continue to be of high value for people to do is tied to meaning making with
other people. How does this decision, product, or service affect your life,
your challenges, your family? The corollary is that we need to train everybody,
early, on how to give meaning to other people’s challenges, work, skills, and
needs to ensure they will have valuable work to do. And imagine how fun it
would be to live in a world surrounded by people who are thinking
professionally about your needs, not just theirs! This will
require very intentional effort all through the growing-up years and beyond—it
is not a thing you pick up the night before you start work.
Betsy Ziegler, chief
innovation officer, Kellogg School of Management:One of the things that I’ve spent a
lot of time thinking about is how we train our students to think of AI or the machine as a team member rather than as a competitive threat. A lot of the
analyst work is being taken over by machines, for example, but that gives the
MBA graduates access to higher-skilled work. I think there’s a competitive
advantage to being human. Given that the level of ambiguity is amplifying and
the rate of change is increasing, what do people have to be equipped with? What
tools do they need? We don’t talk to them about that now. We don’t teach any of
them how to be a leader in the organization that is managing contractor talent
or that is responsible for this fluidity of work. We should.
The social costs of remote work
Maria Flynn: The distributed model among
knowledge workers brings challenges, something we are experiencing as Jobs for
the Future continues to grow and scale. With more locations, we have more
remote supervisors. When they send members of their teams into the field to
work with our clients, it can be challenging to assess performance and
competencies. We need a different skill set and strategies for the complexities
of managing performance when managers and their teams aren’t working in the
same place. We need to think differently to keep remote workers engaged and
connected when they’re not in the same location as their manager.
Portia Wu, former
assistant secretary, Employment and Training Administration, US Department of
Labor: What you lose in
being remote is the informal cross-fertilization, the knowledge you get because
you hear someone talking about something by the watercooler: “You’re doing that
in Arizona? I have this problem in Maryland.” This isn’t just a problem for
knowledge-based work. It’s just as much a problem in manufacturing. There’s a
loss that you have in not being together in a physical work environment. And I
do not know how to compensate for that.
Etienne van der Walt,
CEO, Neurozone: At Neurozone, we
don’t have an office; we are in different cities and work in the cloud. I can
honestly say I miss my people. I want to smell them, unconsciously—because we
need that. It’s trust, it’s a sense of belonging, and it’s good. Because of
this innate need, the gig economy may be creating a new organic network, a sort
of new organization, flocking together at worktables and workstations in cafés,
delis, and other outlets with great coffee. It will be interesting to learn
more about the characteristics of these gatherings and tap into them.
Tamara Ganc, chief learning
officer, Vanguard Group: With
our workforce now more dispersed, we’re leveraging technology so people don’t
need to be physically together to still connect live. For example, we often
combine live, online training with offline collaboration and exercises
following the learning event. We try to bring the online activities to life
through the art of storytelling. One specific technique that has been
successful is filming brief video vignettes of Vanguard leaders telling their
life and career stories. As a result, our workers feel more connected to our
leaders; that is, it tugs on their emotions a bit, even though they’re not
having a live conversation.
Inside the company of the future
Bob Kegan: We all know work settings
will need to be more agile, flexible, entrepreneurial, and creative—but on
behalf of what priorities? At the top of the list, I’d suggest making the
organization the most powerful incubator possible for the development of
talent. You’re never going to be able to hire and fire your way to the
competencies you need. So you have to think about how work itself can foster
talent.
Bror Saxberg: I think there is a serious
economic rationale for a business with a lot of low-wage people to be thinking
strategically about the future of those people, even as it sheds low-wage jobs
through automation. It’s not just to promote the best of those low-wage folks
to a new tier of cognitively more complex work—although that’s part of the
rationale. As human decision making becomes rarer, and also more complex with
higher impact, it becomes increasingly valuable to attract the best talent.
You’ll do a better job attracting this talent if you have a reputation for
taking care of people, even if you let some of them go. People at the company
need to be preparing for and even cycling through many lower-, mid-, and
upper-level jobs that remain to gain skills that will be useful even elsewhere.
That way, really good people, at any level, looking at coming in to the company
can say to themselves, “It’s turbulent, like everywhere now, but this place
goes out of its way to set people up for their next move.” Great people would
rather go to that company than to one that’s mostly just firing.
Tamara Ganc: At Vanguard, we have a
rotational culture, and I think that’s one reason why employment tenure in our
company is so long—people can post for a variety of roles, and these varied
experiences help workers become more fungible and have what feels like many
careers, all with the same organization. We are also piloting new ways to staff
project work at Vanguard. For example, one of our employee-resource groups
recently piloted a “gig economy” approach and said, “Here’s what we want to do
for Vanguard over the next 12 months. Who wants to sign up?” The response was
immediate.
Stretching mind-sets
Jeff Dieffenbach,
associate director, Massachusetts Institute of Technology Integrated Learning
Initiative: While change is
accelerating, one thing that is definitely not is the neuroplasticity of the
brain. In other words, the rate of change in the world may have surpassed the
speed at which the human mind can process those changes. I love tech, I love
innovative technology, but this machine—meaning our brain—can only go so far.
That’s a big part of the crisis that we’re facing.
Srini Pillay, Harvard
Medical School: If you say to
people, “You need to adapt,” but you don’t help them learn how to build a
change-oriented mind-set, it doesn’t really help. In fact, it hurts
productivity. People confuse productivity with the need for constant focus. But
that will not optimize brain function. Managing the brain’s energy budget
requires going between focus and unfocus. When you unfocus, you activate the
default-mode network—a key brain network responsible for energy management,
creativity, memory, flexibility in thinking, and prediction of the future.
You can teach these
mind-set shifts by teaching specific techniques—50 or 60 of them. Five to 15
minutes of napping, for example, creates clarity for one to three hours; 90
minutes of napping facilitates creativity. People say that creativity is one
solution for managing challenges in the future. But when you look at
unconscious associations to creativity, people associate it with vomit and
agony. We need to address these unconscious, automatic associations and teach
people how to override them.
Digital nudges
Etienne van der Walt: Until a year ago, I was
convinced that I could use online learning only for knowledge and for simple
skills. I’m increasingly convinced that’s not the case. One organization I know
of is using online tools to create mind-set shifts, and there are many of these
kinds of things popping up. By giving you tasks, they force you to think
positively about your day and they teach you to reframe certain things. And
this is all done online. These may be microsteps, but they are steps, and these
steps will become bigger.
Tamara Ganc: This reminds me of something
our leadership-development team launched last year with behavioral nudging. We
created what we call “whisper courses,” which were based on the premise that,
as leaders, we have the best intentions yet get so busy and forget to do the
many little things that matter so much. I recall us talking about how nice it
would be to have this invisible “helper” who sat on our shoulder and whispered
to us little reminders throughout the day, like, “Psssst . . . did you thank
Bill?” or, “Pssst . . . did you remember to compliment Ann on her presentation
yesterday?” To bring it to life, we simply used automatic emails as the helper.
A leader can sign up in our learning-management system for a six-week series of
nudges. On a Monday, you get a prompt related to the nudge series you signed up
for—for example, recognition or coaching. That Friday, you get an email asking
if you did it and to reflect on how it went. It influences behavior on a very
granular level.
September 2017
http://www.mckinsey.com/business-functions/organization/our-insights/getting-ready-for-the-future-of-work?cid=other-eml-alt-mkq-mck-oth-1709&hlkid=fb80304e2a1d45dab56ab49fcc093e11&hctky=1627601&hdpid=82515348-f9bf-4c43-861a-2a379a692aa9
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