Bev Attfield:
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All right.
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Welcome everybody.
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Thank you for being here today.
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You might notice that there
is a dress code theme here.
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It's Team Green on this
side of the, the screen.
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Hopefully you've, uh, you got the
memo, but if not, we welcome all
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colors into this conversation today.
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So thank you for being here.
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I'm Bev Atfield.
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I partner within people.
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We are a global culture.
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Leadership strategy firm helping people
and organizations grow with purpose.
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And our approach demands that we
stay on the leading edge of what's
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changing in the world of work.
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And let's be honest, there's no shortage
of change in this realm now or ever.
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I think, you know, from pandemic holdovers
to the age old question of how do we
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engage employees to the new frontier of
ai, leaders around the world are tackling
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some prickly problems, and that's why
today's conversation is so important.
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To understand how to solve these
existing and emerging problems in our
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workplaces, and most importantly, for
our people to thrive, we must look
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to the evidence that we have at hand.
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And the Mercer Global Talent Trends
Report is one of the most reliable
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sources for major trends shaping the
future of work and talent management.
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It's now in its 11th year and the report
examines large scale data from over
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12,000 executives, HR leaders, employees,
and other stakeholders worldwide.
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And the latest report was released
this week at the World Economic
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Forum Annual Meeting in Dabo, and
I'm delighted to have the opportunity
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today to chat with Kate Bravery,
who is the senior partner and global
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leader of talented advisory at Mercer.
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Hot off the press.
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Key insights from the 2026 report.
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Kate has led the GTT since its
inception over a decade ago and
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has expanded authorship of the 2026
report with key leaders at Mercer
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to bring a much wider perspective.
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So I will say that today is
going to be a conversation.
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We have no slides or charts.
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We are going to spend 40 minutes.
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A few key insights from a very, very
dense and insightful report, so we're
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not gonna cover it line by line today
because we would need hours for that.
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And then we'll have 10 minutes of q&a.
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So please pop your questions into the
chat and we'll take as many as we can.
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At the end.
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Welcome, Kate.
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That was a big preamble before I got to
you, but thank you so much for being here.
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Thank you for wearing green and uh,
thanks for finding time in your busy
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schedule this week to share your insights.
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So how are you doing?
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Kate Bravery: I'm good.
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I can't believe that five minutes
ago we all turned up wearing green.
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I think because the topic of today is
about, uh, human-centric transformation,
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it's a very appropriate color.
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Bev Attfield: Absolutely.
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Absolutely.
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Yeah.
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Yeah.
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Kate Bravery: But that was wonderful to
be here and just to say that, uh, yes.
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A preview of the report was launch
launched at Davos yesterday.
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Some of the kind of headline
statistics and the actual report,
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um, which you've seen a preview of,
will actually be out, uh, in, in just
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a couple of weeks, early February.
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You can find it on the Mercer website,
but we're gonna be sharing, um, yeah, some
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of the headlines today and having some of
the chat about some of the opportunities
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and risks we see in the report.
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Bev Attfield: Brilliant.
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And, and thank you for giving us this,
uh, sneak preview behind the scenes
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as, uh, you've been crunching the data.
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'cause there's a lot of it and
there's some really juicy stuff to
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cover in, um, you know, the insights
that we're gonna share today.
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So let's, let's get right at it because,
um, we're gonna promise to be on time
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for our call here today as well for
all of our folks who are dialing in.
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Okay.
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So let's, let's kick things off.
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We'll stay at a little bit of a, sort
of a higher context to start with.
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I'd like to share this quote from the
first paragraph of the report that really
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stopped me in my tracks, and to quote, it
says To remain competitive organizations
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need every team performing at its peak.
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Exponential performance isn't
just essential, it's existential.
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What does this statement tell
us about the tone of what you're
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seeing in the report this year?
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Kate Bravery: There's some pretty
strong messages in this year's report.
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Um, I think the, the volatility
and the velocity of change
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that we saw last year is gonna
absolutely continue into this year.
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And probably the big message
we're hearing, particularly
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from executives in the report is
competition is gonna get harder.
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Everybody's being asked
to do more with less.
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We've got digital competitors, we've got.
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Geopolitical challenges that keep hitting
us fast and furiously, and therefore,
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if we aren't able to unlock the full
potential of human machine teaming,
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we're gonna lag behind our competitors.
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And that's what we meant by existential.
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There is definitely an overlay in this
year's report that we are in a business
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first performance driven environment.
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You know, there's those years
where we are much more employee
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centric and we're employer centric.
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This year it's very clear that if where
the executives are heading doesn't
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flow through to the workforce, if
the workforce can't pivot at pace,
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if the world outside is moving faster
than the world inside, we might be
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so far behind that we can't catch up.
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And so I think there's that big
acknowledgement that not just AI is
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changing everything, but if we can't.
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Achieve productivity uptick
that we talked about last year
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and we haven't achieved as yet.
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It's gonna be an
existential crisis for us.
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And that for me isn't just about which
AI we bring into our organizations,
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how we enable AI adoption.
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Um, it's also about how does our.
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Talent and reward processes, incentivize
new ways of working, how do we get
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that alignment because businesses
are pivoting and pivoting again.
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So that's really why I think exponential
performance really is, is the word
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of the moment for us, and unlocking
that through intentional design.
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Yeah.
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Bev Attfield: I'm seeing
some real tensions in there.
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Right.
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And I think as we're gonna get
into this conversation, we're gonna
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tap into some of those tensions
and, and talk about, you know.
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It's not ai just for the sake of ai
and what is the impact of AI and, you
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know, how does, how do people roles and,
and human resources respond to this?
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And, you know, what do leaders
need to do in this moment, right?
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So it's, it's quite a complex package of
things that businesses and decision makers
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and business have to address right now.
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Um, I guess what I'm, I'm curious
about this tone feels, feels quite.
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It's sort of like we've gotta act
now and there's some urgency to it.
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What's the biggest change you've seen
since the last report in, in that
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sort of tone and sense of urgency?
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Kate Bravery: Yeah.
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The report is a culmination, about
12,000 voices around the world, and it's
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made up of four different populations.
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We've got the investor
voice, executive, VE voice.
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HR and employees, so maybe I
just take them individually.
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The investors and executives are saying,
we've got to deliver return on ai.
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You know, we've invested billions
globally and very few of those
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pilots projects use cases ended
on delivering a commercial return.
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We've gotta do things differently.
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Investors are saying we will invest in
those organizations that are delivering
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commercial return on AI projects.
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Executives are saying We've gotta just
make greater progress than we have.
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The challenge is when I look at the
HR data, so for both of them, their
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top sort of talent initiative that
they believe or believe will deliver
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an ROI is redesigning work to take
advantage of the opportunities of ai.
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So that's what.
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They're driving and they're
driving very strong singular voice.
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We've gotta make progress here.
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On the HR side, their top talent
priority for:
2026
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to better retain and attract our talent.
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And actually redesigning work
is a number fifth priority.
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There's an immediate tension there between
what executives want to see and where
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HR is spending their time and money.
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But if you tell me what was different
from like two years ago, which is when
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we did the last big report, it's gotta
be what we're hearing from employees.
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And as you said, I've been
doing this for 11 years.
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We saw this year the lowest
amount of people feeling that
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they're thriving in their jobs.
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And we derived, we defined
thriving as thriving in their
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health, wealth, and career.
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Only 44% of the global employee
population surveyed said the thriving.
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It was 66% two years ago.
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Now I do a lot of research.
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That's a staggering decline, and I
also see it reflected on how many
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of our workers today are distracted,
depleted, and are desperate to leave.
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The challenge is many of them say,
I would like to leave, but the labor
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market's not just for me to leave.
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So I'm kind of hanging on in there.
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If you combine those two, we need to
drive the most aggressive transformation
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agenda we have ever driven.
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We're gonna do things in ways that
our parents and our grandparents
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could never even imagine.
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It's gonna be such a big change,
and yet we've got a workforce that's
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saying, I'm entering 2026, already burnt
out, exhausted, disengaged, depleted.
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That's gonna be a pretty
tough, pretty tough journey.
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And then you haven't got HR and
executives rowing in the same direction.
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So there are some really big callouts,
I think, demanding greater collaboration
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conversations this year because pushing a
transformation agenda without focusing on
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the employee experience is not gonna work.
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But if we've got limited teams capacity
and resources, spreading ourselves too
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thinly is gonna be a recipe for disaster.
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Bev Attfield: Yeah.
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And I, I think that as we're gonna dip our
toes into sort of our broad topics of, of
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AI and HR and leaders today, um, you know,
I think you've got some call to action for
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us as, as leaders in our businesses around
what we can start to think about, right?
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Transformation.
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Hard.
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If we are trying to transform with
people who are feeling burnt out and
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apathetic about their work and how they
feel at work, um, you know that that's
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a tremendous rock to push uphill, right?
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So I think we really need to take
heat when we are thinking about
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transformation around AI and what
that could mean for us and how
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that, what that could unlock for us.
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It could also disincentivize
people who are already feeling
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like they are struggling to
find joy in their work, right?
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So why don't we dig into, let's, let's
step into our, our, our three topics here.
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I, I mean, we could, obviously there's
a lot that we can unpack about those
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four parts of your cohort, but I
think there'll be some learnings that
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will come out through the, the three
trends that we're gonna dig into.
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So let's start with what.
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Maybe is on top of everyone's
minds at the moment is AI and
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the changing work landscape.
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I don't think anyone here in the
room can say that their life is not
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affected by AI today, or that you can
go a day without seeing some sort of
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news headline around AI and what it's
gonna do to us, either good or bad.
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Right?
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Think what
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and on in the beginning.
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The promise of ai.
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Right.
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It seemed quite optimistic, the last
report that came out around what
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opportunity there is for us in the
future of work with the arrival of ai.
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And I'm curious how that is delivered
over the past year because when I
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read the reporting, definitely to
me the sentiment has changed to
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be much more of a cautionary tale
around how we move forward from here.
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So what are your thoughts on what's
changed over the past two years?
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Kate Bravery: Look, I think there's
bright spots and I think there's concerns.
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Look, if I factually compare
the results two years ago to now
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worries that AI is gonna take
my job, have definitely gone up.
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So I think two years ago about.
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14% of people are so said, I'm
worried that AI will take my job.
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That's shot up to 40%.
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And I think it's down
to what you just said.
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There have been so many headlines
saying the reason for our restructure
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is because we're bringing in ai.
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I don't believe that's
always been strictly true.
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If we continue to keep blaming AI
for downsizing our workforce, I.
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I think many people a couple of years
ago, I mean, we didn't really know
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what we're talking about two years ago.
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I think many people were just, you
know, yeah, well maybe it's be a
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thing and, and maybe I can ignore it.
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Maybe it'll be like other, you know,
technology things that come in and
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we'll get close to it and we'll
understand it and then it'll be fine.
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But the reality is that actually
the closer people have gotta ai,
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the more their anxiety has gone.
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Paradox.
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Technology that's come into our workplace.
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So for example, you know, HR teams, when
Workday and Systems came in, they were
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like, oh my gosh, it's gonna take my job.
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And then when you get to know it,
you're like, actually it's not.
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But the nature of my work changes.
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What's actually happened is that when
people have got closer to ai and we track
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it in a number of different countries,
and it tracks almost the same, the
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more exposure people have, the more
nervous they're, because they're seeing
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actually this can do large chunks of
my job, or at least will in the future.
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And that's quite interesting because
what our research also shows is that
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it's often the people at the more
senior levels that have more exposure.
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So they've got greater fear.
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They're cutting deeper into their
workforce in this is global talent trends.
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They're predicting more headcount,
cuts, restructuring, redeployment
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of talent in the next two years.
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But the people lowest to the
organization that I think probably will
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be impacted more, aren't necessarily
equipped with that information.
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And then, you know, we sort
of combine that with the fact
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that when we asked employees.
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When was the last time your manager
had a conversation with you about how
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your work might change because of ai?
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Three Outta four said, I haven't had
a conversation on that in the last
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year, so I think we've got these
headlines that are driving fear into
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our people about, oh my God, will
my skills be relevant in six months?
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Well, I have a job in a year, and then
we haven't done the piece internally.
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Have honest conversations about
which skills are going up in value.
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How do you make sure that you
get the right type of experiences
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to future proof your career?
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And, and so I, I do
think that's a challenge.
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And when we, you know, that fear piece,
only 19% of HR said when we're rolling
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out new piece of technology like
ai question was specifically on ai.
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Only 19% think.
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Max that we've tried to roll out
AI on top of existing processes.
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We've measured kind of tech adoption, but
we haven't really looked at it through the
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of human adoption, and we haven't reduced
fears so that people have the capacity
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to embrace it and are excited about it.
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You know, we haven't championed
what it's gonna do for them.
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I said there's bright spots though.
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One thing I did notice, so two years
ago, most people, when we asked.
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Will AI help you to do your job quicker,
more effectively, better quality?
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Most people's answer was like, baby,
this year, pretty much everyone
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has said either AI has already
improved the way I do my job.
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Or they have said, I can see how AI will
enable me to do my job faster, better.
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There's still a whole of people
using it though that don't wanna
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it, which I think is interesting.
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The climate we have, the climate isn't
as open and transparent and those job
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fields fears are very real in the climate.
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Bev Attfield: Yeah, I think it's
interesting what you're saying there
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about the businesses are prioritizing
how we introduce and implement AI to help
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us solve all sorts of business problems
and bring efficiencies, et cetera.
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I think that there's a real area of
attention that's needed around the
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psychological impact that this is gonna
have on people at work, and not just from
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a fear and anxiety point of view about
how your job is changing, but how do you
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start to work with an workforce, right?
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00:16:49
How do we start to be in a place
where we're actually engaging
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:
00:16:52
with a different type of being in.
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00:17:00
Investors and executives around
the profit driven side of this
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:
00:17:04
and the ROI that's needed.
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I think we're at risk of forgetting
to pay attention to the human side of
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this and the experience of this change,
which is a critical piece of, of what
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00:17:16
we need to solve right now as leaders.
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00:17:18
I feel.
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00:17:19
Kate Bravery: Absolutely.
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00:17:19
If we want to drive up greater performance
or higher productivity, if we take a
295
:
00:17:24
short term lens on adding these new
tools that potentially could help us
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:
00:17:29
do our work faster and smarter, that's
gonna only have a short term life.
297
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00:17:33
Because if we want to have more
sustainable uptick in productivity,
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:
00:17:39
you know, we've really got to think
quite intentionally about how will
299
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00:17:43
the work look different in the future.
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We take advantage of, um, ai, who
does the work, what level of the
301
:
00:17:53
organization, whether we can use
contingent workers or internal
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:
00:17:56
workers, what type of AI can change
what you require of the human skills?
303
:
00:18:02
Doing that intentional work design can can
make a huge difference and I almost wish.
304
:
00:18:10
Disrupt jobs and start talking about how
AI allows us to design work differently.
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00:18:17
Unfortunately, only about 30% of HR
is actively leading the charge on
306
:
00:18:23
redesigning work, and yet we know
that those cohort of organizations
307
:
00:18:29
that have invested in work redesign.
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Productivity gains.
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00:18:36
But to your point around anxiety, if
you do that with people, it's quite an
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00:18:40
exciting and empowering opportunity.
311
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00:18:43
How do you make this job more fulfilling?
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00:18:45
How do you make this job less exhausting?
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00:18:47
How do you create capacity for
you to learn some core new skills?
314
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00:18:52
Um, that's a challenge actually.
315
:
00:18:54
Many employees are thirst
and they wanna have agency.
316
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00:18:56
They don't to be intentional.
317
:
00:19:01
Delivering those returns.
318
:
00:19:03
We need to do the hard
work on work redesign.
319
:
00:19:06
When we redesign jobs, such as the job of
a nurse, so we stripped it back to what
320
:
00:19:11
really requires nursing qualifications.
321
:
00:19:13
How can we have more junior nurses
stepping up and create a role that takes
322
:
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advantage of some of these new tools?
323
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00:19:20
We can unlock up to 60 to 80%
of capacity now that drives
324
:
00:19:24
that productivity equation.
325
:
00:19:26
And similarly, some of the talent
processes, performance management,
326
:
00:19:30
succession planning, even assessment or
engagement, they're once a year laborious.
327
:
00:19:37
They take a lot of time and many people
say they just don't have teeth in
328
:
00:19:41
sort of driving performance outcomes.
329
:
00:19:44
AI can also help a lot with that,
which I think means that we can
330
:
00:19:49
be much more targeted in as a
result of how work's changing.
331
:
00:19:54
What are the new performance goals?
332
:
00:19:56
Performance squared goals?
333
:
00:19:58
We can spend more time on the human
conversation because AI has helped
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:
00:20:03
prepared our briefing document
nudged us when we need to have a
335
:
00:20:06
conversation with someone who's
feeling a bit depleted or exhausted.
336
:
00:20:10
Having rewards that better fit what's
really gonna motivate our people.
337
:
00:20:14
That to me is really exciting, but
I think we need to embrace it with
338
:
00:20:17
a bit more gusto than we are today.
339
:
00:20:21
Bev Attfield: So what
do, what are we to do?
340
:
00:20:23
Like what would you say is the
most important action folks in
341
:
00:20:27
the room today and others around
the world in workplaces today?
342
:
00:20:31
Um, like what should we do to
use the data in our day-to-day?
343
:
00:20:35
Like what would you say is the most
important thing to do right now?
344
:
00:20:39
Kate Bravery: Look, we're right
at the beginning of the year,
345
:
00:20:41
so I think making sure that.
346
:
00:20:44
We are spending our time in areas that
are value adding is absolutely critical.
347
:
00:20:48
If you are sitting in an a leadership
chair or an HR chair, I would
348
:
00:20:53
make sure that you've, you really
understand what's our reputation?
349
:
00:20:58
Why are people staying, why are they
leaving, and what do they say about us?
350
:
00:21:01
And you can do that now with ai, you know,
in a matter of hours you can say, Hey, if
351
:
00:21:06
you compare the experience of working here
compared to the two or three competitors.
352
:
00:21:12
Are people normally leave for,
what's the reason why they leave?
353
:
00:21:15
That information is
out in the wider world.
354
:
00:21:17
We can scrape it, we can analyze it, we
can give that, and that can interrogate
355
:
00:21:21
is the talent initiatives we're gonna
spend our time and money on this year.
356
:
00:21:24
The right ones.
357
:
00:21:26
If you're a leader, you can start to
have that very honest conversation about,
358
:
00:21:32
you know, where is the business heading?
359
:
00:21:34
How are we bringing AI into our teams?
360
:
00:21:37
And what's your role in helping
to redesign how work gets done?
361
:
00:21:42
What are things that deplete productivity
today where we've got too many
362
:
00:21:46
meetings, too many in the meetings,
we have confusing lines of authority.
363
:
00:21:50
Decision making takes,
takes too much time.
364
:
00:21:53
Um, I think there's some very practical
things we can be doing at the beginning
365
:
00:21:58
to make sure that everyone says to
me, oh, you gotta do more with less.
366
:
00:22:01
I think we need to do less with less.
367
:
00:22:03
Um, and so, you know, using AI processes
to say, are we spending our time and
368
:
00:22:08
energy on the big initiatives that
are gonna move the needle is critical?
369
:
00:22:11
And then helping people to go have a
look at your goals and say, if you were
370
:
00:22:15
challenged to take a third of these
goals away, which ones could you, um,
371
:
00:22:21
so that you can double down on the areas
that are gonna have the most impact.
372
:
00:22:24
Because if we're in a business first
climate, and if performance matters
373
:
00:22:28
more than it's ever mattered before.
374
:
00:22:31
You wanna make your direct reports
are spending time in the areas
375
:
00:22:35
that are most value adding.
376
:
00:22:37
And back to our original point about
unlocking performance with increased
377
:
00:22:44
AI and human machine teaming, create
that climate of experimentation so
378
:
00:22:50
that people feel inclined to use these
tools to talk about these tools, to
379
:
00:22:54
share the learning, because that's not
happening at scale in many organizations.
380
:
00:22:58
Bev Attfield: Mm.
381
:
00:22:59
So I wanna bridge us into, I think
that steps us nicely into the next
382
:
00:23:02
trend, which is around reinventing hr.
383
:
00:23:06
And I wanted to just read a quote from
the report, which I think is a, is a
384
:
00:23:11
strong piece of advice for us as we
think about some of the things that
385
:
00:23:14
you've just talked about around how do
we transform our businesses to bring
386
:
00:23:18
that efficiency and to help ourselves be
more productive and increase performance.
387
:
00:23:22
But also how do we emphasize the human
experience in that transformation.
388
:
00:23:27
The quote is, for an AI powered
future, the:
2026
389
:
00:23:33
So in the machine age, organizational
systems and work itself must be
390
:
00:23:37
redesigned to deliver both business
impact and amplify human potential.
391
:
00:23:42
And this must be the year organizations
move from incremental experimentation
392
:
00:23:46
to intentional AI integration.
393
:
00:23:49
And my favorite part of this
piece of advice, they must
394
:
00:23:52
take their people with them.
395
:
00:23:55
So that being said, let's step into what
is that going to look and feel for us as
396
:
00:24:00
leaders and folks who might be concerned
with the HR function in a business
397
:
00:24:05
around what's gonna need to change.
398
:
00:24:07
I mean, you said that almost a
third of hr, um, are involved
399
:
00:24:12
in transformation strategies.
400
:
00:24:15
How are we going to help the
other 66% get on the bus, right.
401
:
00:24:19
To help us really bring about this change?
402
:
00:24:21
So, you know, we've.
403
:
00:24:23
We see a call to reinvent hr, right?
404
:
00:24:25
And in the report there is
a line that says in:
2026
405
:
00:24:30
reinvention is non-negotiable.
406
:
00:24:32
So I'd love to know the data is driving
you to make such a strong recommendation.
407
:
00:24:38
Kate Bravery: Yeah, and one of the
things I really liked about last year
408
:
00:24:42
has been the different experiments
that have happened within hr.
409
:
00:24:46
You know, we've spent the last decade
talking about needs to move away from.
410
:
00:24:52
Being a service deliverer or
operational partner to one that
411
:
00:24:58
is truly strategic advisor.
412
:
00:25:01
I think we achieved that
transition in COVID where you had
413
:
00:25:07
executives and HR working hand
in hand, global talent trends.
414
:
00:25:11
Their top priorities were identical,
um, and I think we made a lot of
415
:
00:25:15
big strides as a result of that.
416
:
00:25:17
As we started off the conversation
today, HR and executives are not on
417
:
00:25:20
the same page at the top priority.
418
:
00:25:23
So we need to get alignment there, but
also when we start to look at how AI
419
:
00:25:28
is enabling a very different experience
for our people at work, the boundaries
420
:
00:25:34
between what was reward mobility,
talent learning are actually blurring.
421
:
00:25:41
And you're not gonna get that
productivity gain if we've all
422
:
00:25:45
got separate goals and priorities.
423
:
00:25:47
Lemme give you an example.
424
:
00:25:49
I'm working with a client at the moment
and they're using agents to do needs
425
:
00:25:53
analysis across the organization.
426
:
00:25:55
So, um, it's a sales organization
and they're doing needs analysis,
427
:
00:25:59
they've got youth products coming out.
428
:
00:26:01
What are some of the kind of
training needs that we need to close?
429
:
00:26:05
Then they've got that needs analysis
and they're speaking to, I think 300
430
:
00:26:08
people across the organization in a
matter of days that's coming back.
431
:
00:26:13
And then they've got AI that is
creating customized content for the
432
:
00:26:18
three or four different personas
within their sales organization.
433
:
00:26:21
So obviously frontline sales,
technical sales, they have
434
:
00:26:23
different needs and they're creating
podcasts, content, different ways
435
:
00:26:28
to kind of get that learning.
436
:
00:26:30
And then what they're doing is
they're shipping that learning out.
437
:
00:26:34
A human is reviewing it, but then it's
being shipped out to these other personas
438
:
00:26:38
and then their realtime monitoring.
439
:
00:26:40
What's been the impact in sales in
the product that that training has
440
:
00:26:44
And if that impact is not being
shown for certain persona group,
441
:
00:26:47
they are changing, um, that training.
442
:
00:26:51
You think about the time that, that
would normally take, normally it
443
:
00:26:54
would be a couple of hours, you know,
a couple of weeks to just do the
444
:
00:26:56
training analysis and then it'd be
another to do the creation of that.
445
:
00:27:01
You wouldn't be linking that l and d
initiative with performance outcomes,
446
:
00:27:07
feeding it into your performance reviews
and modifying your training on the fly.
447
:
00:27:12
That's staggering.
448
:
00:27:13
I've got another client that has brought
in, um, a conversational AI tool.
449
:
00:27:18
That conversational AI tool is helping to
set goals at the beginning of the year.
450
:
00:27:22
So let's set smart goals based on
your business priorities and coming
451
:
00:27:27
out of your assessment results.
452
:
00:27:29
Automated individual development plan.
453
:
00:27:31
So they're making it relevant for
you and aligning it to your business.
454
:
00:27:34
Fantastic.
455
:
00:27:35
Once that AI coach already knows your
strengths and weaknesses, the AI coach
456
:
00:27:40
also knows what goals you're driving at.
457
:
00:27:42
Why wouldn't you then use that AI coach
to help you drive up performance, listen
458
:
00:27:49
in on a call and give you feedback
to see if you're meeting your goals?
459
:
00:27:51
So suddenly now you've got a bit
of information about goal setting.
460
:
00:27:55
You've got some performance management.
461
:
00:27:57
And then I've got a third client
who is using conversational
462
:
00:28:01
AI for their what used to be a
once a year engagement survey.
463
:
00:28:05
What they're doing is that for every
moment that matters, just got onboarded,
464
:
00:28:10
just got expanded control taken on a
broader team, they've got a, a chatbot
465
:
00:28:14
in the flow of work that's having a quick
conversation that's relevant for them.
466
:
00:28:17
That's feeding back kind of engagement
type data, direct to the manager.
467
:
00:28:22
They're still scraping that data and
doing an annual engagement survey
468
:
00:28:25
at the end of the end of the year.
469
:
00:28:26
That again, is blurring the
boundaries between kind of future
470
:
00:28:30
performance management and then
the once a year engagement process.
471
:
00:28:34
So if we stick in all our silos, we're
all gonna be innovating in AI in ways
472
:
00:28:39
that are crossing over, and we're missing
that opportunity to step back and be a bit
473
:
00:28:44
more aligned as a, my colleague, um, Jason
Abrook talks a lot about, we need less
474
:
00:28:48
North South thinking and more East West.
475
:
00:28:52
And as you know, one of the big
experiments that a number of clients
476
:
00:28:55
embarked on last year was saying, if,
when we think about our workforce,
477
:
00:29:00
it isn't just about how many humans
we have and kind of ft you know,
478
:
00:29:05
the, the full days that they work.
479
:
00:29:07
Maybe with AI it's more about the,
how they achieve that work, because
480
:
00:29:12
it'll be a combination of humans and
machines, but the technology side
481
:
00:29:17
of it sits in our IT department.
482
:
00:29:19
So maybe we need to be thinking about
digital talent and human talent together.
483
:
00:29:24
And that's a whole nother way
of thinking about, you mentioned
484
:
00:29:28
there, bringing in the agentic
workforce and the human workforce.
485
:
00:29:31
But if we're thinking about optimizing
costs and unlocking performance, having
486
:
00:29:37
them in separate areas or not working
closely together is gonna hold us back.
487
:
00:29:42
So I do think that it needs radical
transformation, transformation.
488
:
00:29:49
Eyes of the different personas we
have in our workforce, how does
489
:
00:29:54
experience need to look like for them,
for them to be inspired, for them
490
:
00:30:00
to embrace ai, for them to innovate.
491
:
00:30:03
That's probably quite a
lot there, but, uh, yeah,
492
:
00:30:05
Bev Attfield: no, no.
493
:
00:30:05
But
494
:
00:30:06
Kate Bravery: yes, the data there.
495
:
00:30:09
Bev Attfield: I think what's coming
up for me around that is that this one
496
:
00:30:12
sort of more territorial or siloed way
of thinking about business function.
497
:
00:30:17
Has to change and Char has an opportunity
to be the leader in that, right?
498
:
00:30:21
To really rethink about the function
of HR and being in the strategic
499
:
00:30:28
driver's seat alongside the other
key decision makers, rather than
500
:
00:30:33
just this thing on the side here.
501
:
00:30:36
That is, you know, some execs would
prefer just not to have to worry about
502
:
00:30:40
the people side of things, right?
503
:
00:30:42
We this like a real, I think
it's a real opportunity for.
504
:
00:30:49
Be in the driver's seat because there
you can prove the effectiveness and
505
:
00:30:54
the efficiency that will come from
changing processes where they should be
506
:
00:30:58
changed, but then harnessing the human
effort and the, the human contribution
507
:
00:31:04
that we're not seeing yet in ai.
508
:
00:31:06
Like we're, we're not there yet.
509
:
00:31:07
We're humans are gonna be
replaced in all functions.
510
:
00:31:11
Right?
511
:
00:31:12
So what's the opportunity now for us
to actually crystallize what that is?
512
:
00:31:16
Because.
513
:
00:31:16
I find it's a bit nebulous when I
listen to reports about, oh, well
514
:
00:31:20
the AI is gonna do this stuff over
here, and the humans are gonna do the
515
:
00:31:22
things that the humans are good at.
516
:
00:31:24
Okay, great.
517
:
00:31:24
Well what is that and how do we
make a business case for that?
518
:
00:31:28
Right?
519
:
00:31:28
Kate Bravery: And humans are really the
force multiplier here, not the technology.
520
:
00:31:33
Adding more technology isn't moving the
needle, but if you get the right humans.
521
:
00:31:39
Right.
522
:
00:31:40
Inspired in the right way, then you're
gonna get that 10 x performance that
523
:
00:31:44
you're looking for, and that comes back
to us having great data, great data.
524
:
00:31:50
About what skills does
this individual have today?
525
:
00:31:52
What's their potential to take on
a bigger role or a different role?
526
:
00:31:57
And I think one of the concerns coming
outta the report is we don't always
527
:
00:32:00
have our fingertips on what are the
skills that are relevant for today?
528
:
00:32:04
What are the skills we need for tomorrow?
529
:
00:32:05
What's the skills gap?
530
:
00:32:07
And are we intentionally moving
people to take advantage of that?
531
:
00:32:10
So we need to understand our people
better as well as do the work redesign,
532
:
00:32:15
because unless we do both of them.
533
:
00:32:17
This is gonna work.
534
:
00:32:19
And I was really surprised in this
year's research how many employees
535
:
00:32:23
said, my manager doesn't know what
skills I have and they certainly
536
:
00:32:27
dunno what my potential is.
537
:
00:32:29
Um, you know, promotions here are made
on tenure and there very few lateral
538
:
00:32:36
moves or gig opportunities that's
gonna have to change otherwise, the way
539
:
00:32:41
in which we're developing up people.
540
:
00:32:43
It's not gonna move fast enough given the
way that technology is changing the world.
541
:
00:32:48
Bev Attfield: Yes.
542
:
00:32:48
And coming back also to the, the stat
that you shared around, you know, the, the
543
:
00:32:53
44% of folks feel like they're thriving.
544
:
00:32:56
Right?
545
:
00:32:57
We are.
546
:
00:32:58
You know, we, we really are.
547
:
00:32:59
We, we we're sliding backwards and I,
I was quite astonished to see that stat
548
:
00:33:03
because I would've expected coming out of
the pandemic era, I wouldn't have expected
549
:
00:33:08
us to have made as many gains as we did.
550
:
00:33:09
And we've essentially just
hopped four steps back.
551
:
00:33:14
To, to where I imagine we would've
been right around the pandemic era,
552
:
00:33:18
and that's a lot to overcome, like
to bring us back up to where we were.
553
:
00:33:23
But I think what's exciting for me is
that for those savvy folks who get the
554
:
00:33:28
strategic intent and the the shift to the
things that you were talking about, like
555
:
00:33:34
skills and how do we measure performance
and how do we think about leadership,
556
:
00:33:38
which we're gonna talk about in a minute.
557
:
00:33:41
I think that there is a, a fast track
to actually getting folks to reimagining
558
:
00:33:45
and becoming re-inspired with their
work and the place that they work at.
559
:
00:33:49
Kate Bravery: Absolutely.
560
:
00:33:50
Absolutely.
561
:
00:33:51
And I, I think it, everything is to
play for, I think a lot of the, not
562
:
00:33:55
feeling like the thriving is because
of the change fatigue, the cognitive
563
:
00:33:59
exhaustion, lack of clarity, and I think
when we have the right leaders in place.
564
:
00:34:05
It can make a huge difference, and I think
there's gonna be a big focus this year on
565
:
00:34:10
ensuring that we have the right leaders
to lead through this time because my gosh,
566
:
00:34:14
leadership looks completely different
to it did I'd say even 18 months.
567
:
00:34:20
Bev Attfield: Yeah.
568
:
00:34:20
Yeah, absolutely.
569
:
00:34:21
I mean, it, it's, it's one of our
priority areas that within people is,
570
:
00:34:25
you know, we really focus on a human
centered leadership description, right?
571
:
00:34:29
And we, we bias towards those, um,
you know, emotional intelligence
572
:
00:34:34
qualities of, of a leader.
573
:
00:34:36
And, you know, this is going to be
something that, that folks who are
574
:
00:34:41
wanting to step more forcefully into
the leadership space, if we're gonna
575
:
00:34:45
understand what are those qualities.
576
:
00:34:47
We need to bring to work the makeup or
the DNA of a leader has to shift, right?
577
:
00:34:52
And, um, I think that's coming out
loud and clear in, in the data too.
578
:
00:34:56
So why don't we step into the
changing leadership demands piece
579
:
00:34:59
of our, our conversation here today
where, when you and I were having a
580
:
00:35:04
chat a couple of weeks ago, we were
talking about how we were seeing.
581
:
00:35:09
Hints in the data that the blueprint
for leadership is changing, and now
582
:
00:35:13
that the report is in our hands,
that is more clear than ever.
583
:
00:35:17
I'm, I'm, I'm feeling So tell us about
like, whatcha seeing has shifted in,
584
:
00:35:22
in what leaders need to be today?
585
:
00:35:24
Kate Bravery: Yeah, absolutely.
586
:
00:35:26
You know, when I think about
the role of leaders today to be
587
:
00:35:28
successful, they've got to elegantly
traverse lots of boundaries.
588
:
00:35:33
We've been talking a lot
about digital boundaries.
589
:
00:35:35
You've got some people in person,
you've got some people working
590
:
00:35:38
digitally, hybrid working.
591
:
00:35:40
You've got temporal boundaries.
592
:
00:35:42
We've, you know, we've got borderless
working, we've got, you know,
593
:
00:35:45
asynchronous working and that's exciting.
594
:
00:35:47
But it also brings its own challenges.
595
:
00:35:48
Borderless working also means we need
to traverse cultural boundaries, and
596
:
00:35:52
we've also got contractual boundaries.
597
:
00:35:54
Now we've got kind of full-time workers,
part-time workers, and you brought
598
:
00:35:56
up a few times the agent workforce.
599
:
00:35:59
That's a lot of complexity in the role of
leaders, and if you're wanting everyone
600
:
00:36:04
to bring their very best, that takes
a different type of empathy combined
601
:
00:36:10
with some really good business acumen,
because as we talked about, if we're
602
:
00:36:14
gonna unlock performance, we need to
probably have more honest and maybe
603
:
00:36:18
tougher conversations than we had last
year around where to prioritize what
604
:
00:36:22
is or isn't value adding, et cetera.
605
:
00:36:25
In the research we asked
leaders a whole series of.
606
:
00:36:28
What skills are important for success
in:
2026
607
:
00:36:31
be important for success in 2030?
608
:
00:36:34
And what was fascinating was
executives and investors said,
609
:
00:36:39
we need business leaders that are
really good at identifying risk.
610
:
00:36:45
Mindset can see across boundaries
because you know, it's a more
611
:
00:36:49
globally volatile environment
than we've seen previous years.
612
:
00:36:52
We need good commercial understanding
and, and better strengths
613
:
00:36:56
around strategic awareness.
614
:
00:36:57
So they really do see that kind of
business acumen is really important.
615
:
00:37:01
When we spoke to employees.
616
:
00:37:04
They didn't have any of that IQ BQ stuff.
617
:
00:37:07
It was all the eq.
618
:
00:37:08
I needed a manager who
I feel listens to me.
619
:
00:37:10
I need a manager who has my back.
620
:
00:37:12
I need someone who can
empathize and who can inspire.
621
:
00:37:16
When we looked at why people
are thinking of leaving, lack of
622
:
00:37:20
inspirational leadership has gone
up the list like never before.
623
:
00:37:24
So maybe as we've flattened organizations
got broader scans of control, or we've
624
:
00:37:28
focused on the business priorities.
625
:
00:37:30
We've some of that
inspiration of our people.
626
:
00:37:34
And so I think that is absolutely
kind of critical to get right.
627
:
00:37:38
But what was really interesting is when
ed what would be important in:
2030
628
:
00:37:43
In 2030, everybody said, we're gonna need
leaders with greater digital leadership,
629
:
00:37:49
but they're not prioritizing it now.
630
:
00:37:50
And I thought that was just really
interesting as sort of we, we need to
631
:
00:37:54
make sure that those leaders are being
invested to lead and inspire people.
632
:
00:38:01
First approach to their work and to
reward and recognize that, but it's
633
:
00:38:05
not on the agenda for this year.
634
:
00:38:07
And I just thought that was fascinating.
635
:
00:38:10
But I do think, um, the other
thing that came out was we need
636
:
00:38:13
leaders who can manage paradoxes.
637
:
00:38:15
They need to be good at driving
strategy and execution in this climate.
638
:
00:38:20
We've gotta focus on
the task and the people.
639
:
00:38:23
So it feels very different to a couple of
years ago where all the language was more
640
:
00:38:26
about servant leadership and uh, empathy.
641
:
00:38:30
It's definitely empathy and economics
today, and I think being able to manage
642
:
00:38:33
that, those paradoxes is pretty tough
for some leaders, particularly leaders
643
:
00:38:37
who maybe didn't have great role
models during those pandemic years and
644
:
00:38:41
have found themselves in these, these
big complex people leadership roles.
645
:
00:38:45
Bev Attfield: And to
what extent do you think.
646
:
00:38:48
Because that, that feels to me like
quite a business first framing.
647
:
00:38:51
It doesn't feel like a people first
framing from a leadership perspective,
648
:
00:38:55
like to what extent do you think our
leaders, like Agent izing the function
649
:
00:39:01
of leadership from a people development,
people nurturing, like you, you mentioned
650
:
00:39:05
that three out of four people had not
had a conversation with their leader
651
:
00:39:09
about the impact of AI on their job.
652
:
00:39:12
Right.
653
:
00:39:12
So I just, I wonder.
654
:
00:39:14
I feel like we're in a bit of a
dangerous place here where leaders
655
:
00:39:18
are going to think about outsourcing
the very human touch aspect of
656
:
00:39:23
their role to an agent, and they're
going to just focus on the business
657
:
00:39:29
priorities that they have at hand.
658
:
00:39:31
Do you think that's a risk?
659
:
00:39:32
Like what are you seeing?
660
:
00:39:34
Kate Bravery: Oh, I
absolutely think it's a risk.
661
:
00:39:35
It's something we talk
a lot about here me.
662
:
00:39:38
It's staggering what a lot of these
AI tools can do on your behalf.
663
:
00:39:43
Whether it is inferring what skills you
have today, whether it is automating
664
:
00:39:49
insights around assessment and
engagement, whether it's preparing
665
:
00:39:53
your performance review notes, and
writing your performance review.
666
:
00:39:57
I mean, it's quite attractive.
667
:
00:39:59
I mean, could you step back and
say, but this is where I think
668
:
00:40:02
values of the firm really matter.
669
:
00:40:05
This is where I think the
research that shows that those
670
:
00:40:09
organizations that have higher trust.
671
:
00:40:11
Where individuals feel that their
manager knows their skills, has their
672
:
00:40:16
best interest in heart, has their
back, is actively championing their
673
:
00:40:20
careers, um, without, but I do think
we're at a time where we need to
674
:
00:40:27
redefine that leadership blueprint.
675
:
00:40:29
What, what is that role of leader?
676
:
00:40:32
And are we actually measuring that
success as opposed to those leaders
677
:
00:40:36
being individual contributors?
678
:
00:40:37
Which I think we've seen too much of.
679
:
00:40:40
And then with ai, the, the hope
is that these processes reduce the
680
:
00:40:45
load on some of the kind of process
and operational work so you can
681
:
00:40:49
have better quality conversations.
682
:
00:40:52
Bev Attfield: Mm.
683
:
00:40:52
Kate Bravery: But what I'm seeing is with
the organizations that we partner with
684
:
00:40:56
to say, what leadership values do you
want embedded in your AI coaching tool?
685
:
00:41:03
What is our performance management
or our world philosophy?
686
:
00:41:06
Because you have to get that right
in order to teach the ai, which
687
:
00:41:09
sometimes is a great discipline that
actually enables managers to have
688
:
00:41:12
better conversations because now they
actually know what they've gotta do.
689
:
00:41:15
But you can then also have that AI who's
listing into your calls, monitoring
690
:
00:41:21
your meetings, giving you feedback where
you're spending time, feed that back.
691
:
00:41:26
Are you spending enough time
with the people on your team?
692
:
00:41:30
Are you dedicating enough time to
inspirational leadership rather,
693
:
00:41:33
rather than operational leadership?
694
:
00:41:36
So I actually think it's
almost like a Fitbit.
695
:
00:41:38
You know, you get more data,
but it doesn't replace the
696
:
00:41:41
need for a, a gym coach.
697
:
00:41:44
And in fact, the more people
that wear Fitbits, the more the
698
:
00:41:47
demand for coaches has gone up.
699
:
00:41:50
And I think this is the same.
700
:
00:41:51
I actually think as people get
more information about their
701
:
00:41:53
skills, where can they go?
702
:
00:41:55
They're gonna need more from their
performance coach, their manager.
703
:
00:41:59
And I also think we'll be nudging
managers and preparing managers
704
:
00:42:03
better and giving them feedback
where maybe they don't hit the mark.
705
:
00:42:08
I mean, performance management has
come up a few times on this call.
706
:
00:42:13
Performance management
fails at the moment.
707
:
00:42:15
In most organizations.
708
:
00:42:16
Executives say it hasn't got teeth,
it doesn't pivot fast enough, it
709
:
00:42:20
doesn't drive the right behaviors.
710
:
00:42:22
We don't differentiate top
performers and bottom performers.
711
:
00:42:25
Managers go, oh my God, please
don't change it from a five point
712
:
00:42:28
scale to a three point scale
to a i, I'm exhausted with it.
713
:
00:42:31
And it's just a tick box exercise.
714
:
00:42:33
And employees say, when I leave
my performance discussion,
715
:
00:42:36
I never feel flatter.
716
:
00:42:38
Mm-hmm.
717
:
00:42:38
We all of that, but I've actually seen
that, um, AI is actually helping some
718
:
00:42:45
very average managers become great.
719
:
00:42:49
Highlighting their blind spots,
coaching them to be a little bit
720
:
00:42:53
more inspirational in what they say.
721
:
00:42:55
And so I think we're past that hump
where last year it was like, oh
722
:
00:43:01
God, I couldn't have to do that.
723
:
00:43:02
And AI do it all me to say
actually AI could not just take
724
:
00:43:06
away some of that process, but
it could make me a better leader.
725
:
00:43:09
And if I'm not a better leader, maybe
it'll nudge me to move into an individual
726
:
00:43:13
controversial role where I'll thrive more.
727
:
00:43:16
So I have the fear, but I'm
seeing that fear being mitigated.
728
:
00:43:20
Bev Attfield: Yeah.
729
:
00:43:20
Two things coming up.
730
:
00:43:22
First of all, you had me at
values, keep values at the center.
731
:
00:43:25
Like that is definitely the bedrock
of, of our work as well, right?
732
:
00:43:29
Um, it doesn't matter if you are
considering making a, a switch
733
:
00:43:32
to more, um, you know, digital
process in your business, but put
734
:
00:43:37
your values at the center of it.
735
:
00:43:38
Train your agent to do it through
the lens of your own values.
736
:
00:43:43
Your business as well as the leadership
ethos that you wanna see in the
737
:
00:43:46
business, because the results you'll
get will be so much better matched
738
:
00:43:50
to who you're your exponential
739
:
00:43:51
Kate Bravery: performance.
740
:
00:43:52
Bev Attfield: Exactly.
741
:
00:43:53
And that's a, a shortcut, right?
742
:
00:43:54
For folks to just like double
down on your values because.
743
:
00:43:58
You can 100% train a A an LLM to
understand who you are through
744
:
00:44:03
the language of your values.
745
:
00:44:05
And that's another area where I
think HR can really step in and
746
:
00:44:08
lead here, right, is to bring
values into focus more frequently
747
:
00:44:14
in decisions that are being made.
748
:
00:44:16
Right.
749
:
00:44:17
I think the second piece that really
stands out for me is around performance
750
:
00:44:20
management and, and yes, you know
what a gift for us, if AI can help us
751
:
00:44:25
transform performance management, we
would've won if it only did that for us.
752
:
00:44:29
Right.
753
:
00:44:30
But I think what I, what I was very
intrigued by in the, the report
754
:
00:44:34
was this shift from performance
management to performance enablement.
755
:
00:44:39
I feel like let's use AI for what
it can really do in a fantastic way,
756
:
00:44:44
in a very quick and fast way that
humans cannot, because we can't parse
757
:
00:44:48
the amount of data that an AI can.
758
:
00:44:51
But let's also think about
this as a more textured way.
759
:
00:44:54
Like it's not about management,
it's about enablement, like
760
:
00:44:57
unlocking potential for people.
761
:
00:45:00
With the help of ai, tell me
your, your, your thoughts on,
762
:
00:45:03
you know, how do we get there?
763
:
00:45:04
How do we get to this, this
more human-centric approach to
764
:
00:45:08
helping people perform and unlock
prosperity in our business for
765
:
00:45:12
themselves and the organization?
766
:
00:45:14
Kate Bravery: You've said so
many interesting things that
767
:
00:45:16
I wanna jump on all of them.
768
:
00:45:18
Um, the first thing I would say, um,
and this is a big theme of our report
769
:
00:45:22
two years ago, is, um, the fastest
thing that's gonna make your top
770
:
00:45:26
talent leave is a mismatch imbalance.
771
:
00:45:29
So if you don't know the values of
your critical talent and you aren't
772
:
00:45:32
actively working to deliver on them,
when it is a more buoyant labor
773
:
00:45:36
market, they're the ones that are
gonna be off first, and they're,
774
:
00:45:38
they're the ones that have options.
775
:
00:45:39
So I do think spending time on your
values and your culture is gonna pay
776
:
00:45:44
dividends with regard to moving from
performance management to enablement.
777
:
00:45:48
No one wants to be, you don't, I
don't wanna, so I think changing
778
:
00:45:52
that dialogue to how do enable.
779
:
00:45:58
In your job and have a fulfilling
career can make a huge difference.
780
:
00:46:01
Said performance management has
become a bit of a please when perform
781
:
00:46:06
management with expanding portfolio.
782
:
00:46:11
You know, where can you go from here?
783
:
00:46:13
Careers.
784
:
00:46:14
When performance management becomes part
of a succession conversation, a career
785
:
00:46:18
conversation, then I think it can be
inspiring back to we need to get rid
786
:
00:46:22
of these silos and push them together.
787
:
00:46:24
Because actually then you turn something
that's quite annoying and fearful into
788
:
00:46:28
something that is exciting and positive.
789
:
00:46:30
So I think, I think that
can make a difference.
790
:
00:46:32
And then the other thing, which I think
we need to keep in mind, and we see it in
791
:
00:46:36
the data, is there are some conversations.
792
:
00:46:39
Young people are more comfortable to have
with tech than they are with a human.
793
:
00:46:44
There are some really challenging
questions around what gets
794
:
00:46:47
recognized here and how does our
performance management system work
795
:
00:46:52
and what is the consequence of it.
796
:
00:46:53
They don't wanna tell their manager
that, or I want my manager's job.
797
:
00:46:57
What do I need to do to get there?
798
:
00:46:59
And we've talked a about AI tools.
799
:
00:47:00
They don't have to be expensive AI tools,
orent layer that you're bringing into
800
:
00:47:04
your organization, they can be asking and
they're asking this question of chatt.
801
:
00:47:10
Bev Attfield: Yeah.
802
:
00:47:11
Kate Bravery: And I think that's
not a bad thing because Yes.
803
:
00:47:14
And Emily, you are nodding there
ferociously as probably the
804
:
00:47:17
younger person on the call here.
805
:
00:47:21
Bev Attfield: Emily is our
producer in the background.
806
:
00:47:23
Just
807
:
00:47:24
Kate Bravery: fy, sorry, sorry.
808
:
00:47:24
She's also wearing agreement as well,
which is just when I got on here.
809
:
00:47:30
Bev Attfield: Yeah, I, I mean, well,
I mean, still so much more to, to
810
:
00:47:34
unpack there, but you know, I, I think
it's what I just keep coming back
811
:
00:47:39
to is that that number of the 44%
of folks feel like they're thriving.
812
:
00:47:43
And I feel like if we just change
performance management, we could get
813
:
00:47:47
a 10% gain on that number overnight.
814
:
00:47:49
Kate Bravery: Oh gosh,
I wish it was that easy.
815
:
00:47:54
Bev Attfield: Can chat GPT?
816
:
00:47:55
Just solve that for us overnight, please.
817
:
00:47:58
Kate Bravery: But I, I, I do think
there's a bit about people feeling
818
:
00:48:00
that the deal's not working, that
they're putting in too much and
819
:
00:48:03
they're not getting enough return.
820
:
00:48:04
And I do feel that if we got people
orientated into the areas that delivered
821
:
00:48:09
the biggest value for the business,
then maybe the rewards would be there.
822
:
00:48:13
Because rewards, rewards have got
a bit thin in the last few years,
823
:
00:48:17
differentiation's been challenged and our
money doesn't go as far as it used to.
824
:
00:48:21
So getting the performance equation
right, benefits will stakeholders.
825
:
00:48:26
Bev Attfield: Okay, we
are nearing the hour.
826
:
00:48:29
We've covered a lot of ground, but
what I would love to hear, Kate, is
827
:
00:48:33
all that we've heard today, in addition
to what sits in the rest of the data,
828
:
00:48:37
what do you believe is the loudest call
to action for us to hear right now?
829
:
00:48:43
Kate Bravery: Gosh, loudest.
830
:
00:48:44
Call to action.
831
:
00:48:44
Um, the report is fresh off, off
the, um, the thing, so I haven't,
832
:
00:48:50
I think there's quite a few, um,
calls to action in the report.
833
:
00:48:55
Some of the ones we've talked about today.
834
:
00:48:58
I do think we need to use performance
management to performance enablement.
835
:
00:49:02
I do think we need to move away
from thinking about tenure based
836
:
00:49:06
promotion to skills based and or skills
powered and potential powered moves.
837
:
00:49:14
I think that will make a huge
difference and I also think managers
838
:
00:49:18
need to be more comfortable having
both performance conversations.
839
:
00:49:23
AI conversations.
840
:
00:49:25
How are we thinking about bringing ai?
841
:
00:49:28
What's the role you can play
in redesigning work given ai?
842
:
00:49:32
What skills do you have today that
if your job did disappear because
843
:
00:49:38
of AI, could enable you to do two
other roles in the organization?
844
:
00:49:42
And if you dunno,
845
:
00:49:45
you know, I think there's ways
we can start to encourage.
846
:
00:49:50
To take more control of their career
and start thinking more about it.
847
:
00:49:55
Skills of the currency
of the work, not jobs.
848
:
00:49:58
How does my portfolio look and what do I
need to do to futureproof my career and
849
:
00:50:03
how does that fit with where the company's
going and what is gonna be valued?
850
:
00:50:08
I think though that sort of
honesty is really important.
851
:
00:50:11
And then if I was gonna say one
thing that closed out, it would be
852
:
00:50:15
back to all of this stuff is great.
853
:
00:50:18
Redesign the HR function.
854
:
00:50:21
We can equip our people
with more AI enabled tools.
855
:
00:50:28
But if you're not inspired by the
purpose and the values that the company
856
:
00:50:31
stand for, this is all just gonna abide
your time until you find another job.
857
:
00:50:37
So be very clear about what's
the purpose of our organization?
858
:
00:50:41
What does it deliver back to society?
859
:
00:50:43
What's your role in that, and
what do we stand for as a firm?
860
:
00:50:47
Get some of that stuff right?
861
:
00:50:48
Some of this content around rewards
processes, some of that will be forgiven
862
:
00:50:55
as we drive this transformation.
863
:
00:50:56
Bev Attfield: Mm.
864
:
00:50:58
That's powerful framing and.
865
:
00:51:00
Definitely singing from the same song
sheet as us as we are thinking about, you
866
:
00:51:03
know, from our perspective when we are
advising and guiding clients through this
867
:
00:51:08
time of transformation around putting
your purpose and your people first.
868
:
00:51:12
Right.
869
:
00:51:12
Thanks Kate.
870
:
00:51:13
I I do have one question, which is a
bit of a step down from what you were
871
:
00:51:15
just sharing in your summary there.
872
:
00:51:17
So, Laurie's asking, do you see
a world where adding more AI can
873
:
00:51:23
actually make work more human?
874
:
00:51:26
Kate Bravery: A hundred percent and
I'm already seeing it at the moment.
875
:
00:51:29
I'm seeing that the right AI used in the
right way is improving us to have more
876
:
00:51:36
relevant conversations with our people.
877
:
00:51:39
It's helping older workers with
their memory and understanding
878
:
00:51:43
about what's important to
people, and it's enabling us to.
879
:
00:51:51
Making sure that people get the
opportunities or the rewards
880
:
00:51:54
that really resonate with them.
881
:
00:51:56
I mean, staggering amount of
people said I would forgo a 10%
882
:
00:51:58
pay rise to get more AI training.
883
:
00:52:01
Brilliant.
884
:
00:52:03
I've got, I've got a challenge reward,
um, thing, lemme put that as part
885
:
00:52:07
of the total reward proposition.
886
:
00:52:09
Um, so I'm seeing lots of bright spots
where I think AI is actually allowing
887
:
00:52:15
us to be more human, more connected.
888
:
00:52:18
Make better choices and make fairer
choices because it's also giving
889
:
00:52:22
us feedback around, you know, when
we look at how you distributed your
890
:
00:52:26
rewards or who you put on your high
potential slate, you've got biases.
891
:
00:52:31
We've all got biases.
892
:
00:52:32
I'd rather AI told me that before my
boss did, or worse, my employees did.
893
:
00:52:38
Bev Attfield: I'm really glad that
we're ending on a positive note
894
:
00:52:40
because I, I, I think that, that the
tendency at the moment is to really
895
:
00:52:45
feel anxious and feel like this is,
you know, something hard and negative
896
:
00:52:50
for all of us, and that it feels like.
897
:
00:52:53
The end is ni Right.
898
:
00:52:54
But I, I love that you're bringing this,
you know, pragmatic, fresh perspective
899
:
00:52:58
to this that is helping us understand
how can we optimize this and how can
900
:
00:53:02
we use AI for what AI is great at, to
supplement what humans are great at.
901
:
00:53:07
Right.
902
:
00:53:08
And I, I would like to think that there
is a future where we can coexist and that
903
:
00:53:12
things can be better because of that.
904
:
00:53:14
Um, and I think we just have to keep.
905
:
00:53:16
Keep looking at the data and, uh,
keep being inspired by the human
906
:
00:53:21
interest and involvement in this
process of transformation because
907
:
00:53:24
after all, it is an existential need.
908
:
00:53:27
And if we are to survive and thrive,
uh, we need to play a part, right?
909
:
00:53:30
We need to be in the driver's seat
of, of the change that's coming.
910
:
00:53:34
So thank you Kate.
911
:
00:53:36
We are almost at the top of the
hour and I be promise to everyone
912
:
00:53:40
their thank you everyone for
being, and thanks to you Kate for.
913
:
00:53:45
Um, being here to share your
insights and your wisdom.
914
:
00:53:48
There is obviously a lot more to
talk about and I've seen, uh, you
915
:
00:53:52
know, multiple comments in the chat
about you coming back to do part
916
:
00:53:56
two, so maybe that's a possibility.
917
:
00:53:58
Once the report is out, we can come
and continue this conversation.
918
:
00:54:02
Kate Bravery: Love to.
919
:
00:54:02
Bev Attfield: But if folks
wanted to find you and connect
920
:
00:54:05
with you, how do they do that?
921
:
00:54:06
Kate Bravery: Yeah.
922
:
00:54:07
Um, reach out to me on
LinkedIn, take bravery.
923
:
00:54:09
Really easy to find.
924
:
00:54:11
And as I said, this report's gonna
go up, um, I think in a couple of
925
:
00:54:14
weeks, uh, onto the Mercer website.
926
:
00:54:18
Uh, you can get sneak peek with the,
what the report we released at Davos on
927
:
00:54:21
there, uh, we're, we had so much data
this year and so many big messages.
928
:
00:54:27
We're actually gonna have
four separate reports.
929
:
00:54:30
So I'm actually gonna do a deep dive into
the leadership equation and, you know,
930
:
00:54:34
what do we really need to see in our
leaders if we could continue attracting
931
:
00:54:38
and inspiring people in this new world.
932
:
00:54:40
So maybe when that one's
out, I'm happy to come back.
933
:
00:54:44
Bev Attfield: Well,
that will be fantastic.
934
:
00:54:45
I know that I would love to hear more
and and dig into that with a lot more
935
:
00:54:49
time to spend on that focused area.
936
:
00:54:52
But we will follow up with the recording
to everyone who has registered for
937
:
00:54:55
today with a link to pre-register for
the report coming out in February.
938
:
00:54:59
I highly advise, get a good cup of
coffee, sit down and have a read of it.
939
:
00:55:03
There is some really juicy stuff in there
and it has to be paid attention to right
940
:
00:55:07
now if we're gonna make this change work.
941
:
00:55:11
Thanks.
942
:
00:55:17
Thank you to our listeners
for tuning in today.
943
:
00:55:19
Really hope you found this time together
valuable and if you are a leader who is
944
:
00:55:24
wanting to be more curious, hope that
you feel more resourced coming out of
945
:
00:55:27
this today, thank you so much to Emily,
our producer, who always brings us
946
:
00:55:31
together and helps us to create this.
947
:
00:55:33
These brilliant episodes, which we
really hope will move the needle on the
948
:
00:55:36
experience that people have at work.
949
:
00:55:39
So please do tune in to our
podcast every month for more
950
:
00:55:42
episodes on what's happening in
the culture and leadership space.
951
:
00:55:45
What's on the minds of leaders committed
to change in our community and other
952
:
00:55:49
future of work content you crave.
953
:
00:55:52
Re imagining work from within is
available wherever you podcasts.
954
:
00:55:57
That's a wrap for today.
955
:
00:55:58
Thank you so much.
956
:
00:55:59
And we'll see you next time.