New research indicates that AI adoption is poised to displace millions of white-collar jobs in the US, necessitating a proactive approach to reskilling and upskilling for workers to transition into future roles.
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We know AI adoption is rapidly
accelerating in the workplace. And now
new research shows which regions and
jobs are most at risk. According to the
Society of Human Resource Management,
SHRM for short, more than 9 million US
jobs are at risk. And they're mostly
white-collar jobs. More than 50% of
writers, programmers, and designers
could be displaced. Cities with the high
concentration of white-collar and tech
jobs will face the brunt of the impact,
including San Jose, Washington, D.C.,
and Durham. Roughly 38% of the workforce
fall into more AI-resistant roles, but
they are among the lowest-paid jobs. To
talk more about ways workers and
employers can prepare for this AI shift
is Johnny Taylor, president and CEO of
SHRM. Johnny, thank you for being with
us. Your research shows the projected
job losses are concentrated in about two
dozen occupations.
So, what makes these jobs the most
vulnerable to AI?
Well, first of all, they can be
automated. More than 50% of the task
associated with the jobs
can be automated. And to the extent that
the computer, some algorithm, can do the
work, then it makes the jobs and the
people in those jobs vulnerable.
So, research found the AI-resistant jobs
tend to be some of the lowest pay. So,
what does this mean for the future of
the US workforce and salaries? Well,
it's kind of scary, right? We're feeling
the pressure.
The reality is healthcare jobs, for
example, right now healthcare jobs are
at the same level as they were in 2022.
Huge demand, but to your point, many of
these jobs are CNA jobs. They're
lower-paid human touch jobs. And that
does pose a real concern for the US
economy because at the end of the day,
paying people or a lot of people less
money will impact the community of the
the economy because they'll have less
money to spend as consumers. Sure. And
and what can workers and employers do to
make this transition a little less
painful? Is there anything we can do?
Well, yeah, there are jobs on the other
side of this. Some jobs will go away.
There's naturally going to be some
displacement. Our research says as many
as 9 million jobs. So, what we can do is
be honest with people now and say this
is your opportunity to reskill for the
jobs on the other side of this. There
will be higher-paying jobs in the
post-COVID world, but we've got to
identify what those jobs are. Most
importantly, we've got to ensure that
the people have the skills to do those
jobs when they're made available and
posted. We've been reporting about some
gig workers who are actually getting
paid to train AI to essentially do their
jobs. And we're seeing for all
industries, including journalism, by the
way. I'm curious, are we going to see
more of that? Yes. Um, you know, this
the whole that we all talk about AI
right now, artificial intelligence. The
holy grail of this is AGI, artificial
general intelligence. This notion that
it can do most, if not all, of what
human beings do as work today. So, AI's
only getting better and better every
day. And so, we as human beings have to
try to figure out how to outpace it in
terms of what we do really well, which
is we innovate. We we work in teams. We
we create new products. That's going to
be what human beings are going to have
to be able to focus on. Are you seeing
some parallels between this moment in
time to say the Industrial Revolution,
where we saw machines taking over a lot
of jobs that previously were held by
human beings? Is it going to be a
similar transition, do you think?
Similar, but it's going to move much
more quickly. So, to that point, one of
my favorite movies, I don't know if I'd
describe it, but it was Hidden Figures.
The idea that, you know, at that moment,
if you remember in history, human beings
were called
computers. They literally were called
computers. Not machine computers, but
human computers, computers because there
weren't computers. And then all of a
sudden, the main main stream, get that,
mainframe computer came about. And the
people who did that work, the women who
literally put us on the moon, calculated
how we arrived safely on the moon and
left the moon, were now made
basically without jobs. And so, what
they did was they retrained and
reskilled themselves. That's the
opportunity now. This is our hidden
figures moment. We've seen this in
history before. There are jobs on the
other side of this, but what we've got
to do is make sure that we have the
skills, the commitment to to be able to
provide those jobs, to do those jobs in
the future. And we all have to be open
to evolving and learning new skills. I
love that we're doing that. Yes,
lifelong learning. It never stops.
Johnny Taylor, great to see you. Thanks
so much for being on our show. Thank you.
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