In this episode of the Future Proof HR podcast, Thomas Kunjappu sits down with Alim Dhanji, CHRO at TD SYNNEX, whose career spans HR, finance, M&A, and even serving as President of Adidas Canada.
From leading through supply chain crises to running startups and now driving an AI-first HR transformation, Alim shares how curiosity, simplicity, and critical thinking have shaped his leadership across every function.
He talks about reimagining HR as a series of products, helping teams overcome fear of AI through experimentation, and building a “super worker” culture—where technology multiplies human capability instead of replacing it.
Alim also reflects on why this is the most exciting moment to be in HR, how leaders can simplify for impact, and how embracing AI literacy and critical reasoning can redefine the next generation of people leadership.
Topics Discussed:
If you’re rethinking what it means to lead HR in the age of AI, this conversation with Alim Dhanji offers a rare look at transformation from both sides of the business—where strategy meets empathy, and technology powers people to do their best work.
Additional Resources:
I do think that this is the moment where HR
2
:professionals and HR leaders can
have a greater impact, not only in
3
:business, but helping to channel and shape
some of the implications of AI in society.
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:We shouldn't forget that.
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:And I think that creates purpose because
it is going to change the swim lanes
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:of how people graduate, how people
learn, how many people are employed.
7
:Thomas Kunjappu: Hello and welcome to the
Future Proof HR podcast, where we explore
8
:how forward-thinking leaders are preparing
for disruption and redefining what it
9
:means to lead people in a changing world.
10
:I'm your host, Thomas
Kunjappu, CEO of Cleary.
11
:Today's guest is Alim Dhanji,
CHRO at TD SYNNEX, a dynamic HR
12
:leader and business executive
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:whose unconventional career spans
multiple industries and functions.
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:Alim has moved in and out of HR roles,
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:serving as president of Adidas Canada,
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:leading M&A strategy,
stepping into CFO duties,
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:and even running a tech startup.
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:Now as a seasoned CHRO, Alim
brings together commercial
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:acumen, strategic HR leadership,
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:and is even driving
AI-driven transformations.
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:So he believes that
today's HR leaders must go
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:beyond traditional functional
boundaries, using AI to deepen
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:business understanding and becoming
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:indispensable strategic partners
to the C-suite and the board.
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:Alim, welcome to the podcast.
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:Alim Dhanji: Thank you, Thomas.
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:So wonderful to be here.
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:I appreciate you inviting me.
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:Thomas Kunjappu: So right off the bat, you
have a very unconventional career, I would
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:say, coming in and out of HR in many ways.
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:Could you tell us a little bit about that?
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:Alim Dhanji: Sure.
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:It wasn't designed that way, certainly.
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:I've been in the workforce
now for roughly 27 years.
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:And I've always been entrepreneurial
minded because of family upbringing.
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:And I've always had this insatiable
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:appetite for curiosity and
different cultures, et cetera.
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:So I think that has ignited a growth
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:mindset and constant
questioning of different
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:operating models and
business environments.
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:And so, yes, I started
out in HR and then I
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:ended up taking a role in Asia,
moved to Hong Kong and got exposed
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:to M&A type of work, which was
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:fascinating, hyper-competitive,
especially in that part of the world.
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:That only continued to spur my
curiosity for getting into business.
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:And then I went to KPMG, where a year into
the role, I found myself also then leading
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:finance, which was never in the cards,
but it certainly gave me a different lens.
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:I went back into HR.
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:Then I went to run a dating
app with the founder.
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:That was phenomenal.
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:That's probably a different
podcast on its own.
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:You go along with these different
tours of duty and pick up
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:not only a lens, but different
skills, different points of
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:understanding around how to lead a team
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:of engineers or how to elevate the role
that finance plays an organization.
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:that kind
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:of has been a pattern in my role.
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:And then most recently, I was in the head
office of Adidas in a head of talent role.
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:And my CEO asked me to take on
the president of Adidas Canada,
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:which was phenomenal because
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:especially the senior you get
transferring to that kind of organization.
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:role is very rare and the
stakes are probably higher.
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:But I did it nonetheless.
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:And not only
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:that, it was in the midst of COVID, it was
in the midst of supply chain disruption.
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:So lots of
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:opportunity for crucibles
and really learning.
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:But now I find myself back in HR.
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:My passion is people
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:and culture, but I feel that because
of the different business rotations
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:I've done, I can bring a unique lens
and elevate in doing so as well.
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:Thomas Kunjappu: When you talk through
that trajectory, the question of
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:identity almost comes to mind for me.
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:a lot of folks define themselves
as let's say, I'm a student
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:or I am an HR professional or an
athlete a specific in the work world.
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:Like been in a specific function
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:and I'm entrenched and really investing
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:in what's happening in
this particular expertise.
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:And how do you think of yourself?
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:And maybe this is more belying my biases
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:because maybe you don't
even think in this way
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:in the professional world
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:and you're talking about curiosity.
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:But how do you, especially as you
go through these moments of pivot
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:in terms of what you're actually
doing, did you find the way you
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:identify yourself a shift in any major way
or did that, was that not even a question?
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:Alim Dhanji: Probably
not an overt question.
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:I think if anything, if I had to
pick a title, it would be student.
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:It's lifelong learning.
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:And having gone from large
corporates like Citigroup, where
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:you've got nearly 300,000 people
across 180 countries, to a
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:startup with 100 people, you've
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:got to be agile and thoughtful
around how you show up and how
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:you open yourself for learning.
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:I went to KPMG, where it's a partnership
and across different sectors.
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:So I think when you're
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:doing that,
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:the underlying red thread
is that you're a student.
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:You're constantly learning and picking
up best practices and giving back.
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:But I guess, yeah, I guess to
your question more specifically,
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:am proud to be an HR leader.
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:And the funny thing is when
I left HR to go to business
103
:and then came back to HR,
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:a lot of the people in HR
said, why would you do that?
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:Almost like it's a
negative to go back to HR.
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:And the reality is where that is
where a lot of the change in the
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:forward-looking business models are going.
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:Think about the impact of AI,
demographic changes, geopolitics.
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:They all have a massive influence
around how people show up.
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:So being in HR, I think that this
is the perfect time to be in HR.
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:Thomas Kunjappu: That's
a great perspective.
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:And maybe another way to get at
the question is you mentioned the
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:concept of tours of duty and
came from the military, but
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:also in the corporate setting.
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:Your typical employee is not
doing 25 years on a watch.
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:You're going in, which was
the career path, right?
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:You could start off right out of
high school or college and you work
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:your way through to retirement.
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:And there's a clear trajectory
and a career ladder.
120
:Companies have career ladders now,
but it's not for a specific person.
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:It's more for the organization because...
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:because people are coming in and
out and doing these tours of duty.
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:Do you think that is becoming a
more central part, central to how
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:HR professionals are developing?
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:Alim Dhanji: I think so.
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:I talk about tours of duty, they
can be within one organization.
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:If you've got a large organization,
you can go from corporate
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:functions to a P&L role,
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:or you can go through different
functions to a P&L role, or you
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:can go through different rotations
131
:within a corporate function.
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:Also, I think you can go
to different countries
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:if you're global environment.
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:And so the learning can be constant.
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:And it's not so much about a ladder,
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:it's more about a lattice.
137
:It's about navigating the organization
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:and picking up new capabilities
139
:and expanding your
employability in doing so as
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:well.
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:I do think that is a new generation.
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:The new generation is also thinking about
leaving the company and coming back.
143
:So lots of boomerangs, then
there's gig works and portfolio.
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:So this whole notion of portfolio
life, which is fascinating.
145
:So I do think that the
146
:traditional one organization
career ladder is no
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:longer case.
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:Thomas Kunjappu: So let's talk
about business impact and how
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:the HR role is changing a little
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:bit.
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:And especially with the lens that you've
had coming in and that title, do you think
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:your experience is shaping your
view of like HR's role specifically
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:within the organization?
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:Alim Dhanji: Yeah.
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:So on one hand, when I stepped into the
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:President of Adidas Canada role,
I was now on the receiving end of
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:what I was pushing out from the
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:talent role.
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:And the team is fantastic.
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:think that the team
produced ton of great value.
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:But sometimes when you're removed from
the front line, you focus more on best
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:practice and conceptual and strategy.
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:And so what I found now is I was
receiving those best practices.
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:But at the end of the day, the store
manager in their mid-20s has half
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:an hour a week to absorb corporate
functions are putting on the
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:marketing, loss prevention, finance.
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:Everyone's giving them something.
168
:So my 30-page or 20-page
deck is not going to land.
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:It's got to be pragmatic.
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:It's got to be simple.
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:It's got to be executable.
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:And so I think lens by which I
look at how HR is being delivered
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:has changed phenomenally,
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:like fundamentally.
175
:it is about simplification.
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:It is about impact and driving results,
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:not just about best practice.
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:Thomas Kunjappu: love this framing
and I'd love to push you to go, if
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:you can give me any kind of specifics,
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:is there something, if you want
to put yourself in the hot seat,
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:something that you were
delivering in an earlier time
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:as on the HR side to the business side
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:that you feel like, oh, if
it was done this way instead,
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:the impact would be more direct
or more actionable or more useful?
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:Alim Dhanji: I think
there could be a range of
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:products.
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:I just pick on one, program
like onboarding, right?
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:All the best practice say
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:that when someone comes into
the organization, it's about
190
:balancing the hearts and minds and
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:culture and what is the
company about, et cetera.
192
:Yes, that is true, but it
is also true that person
193
:who's coming in to sell shoes and
shirts needs to be operational
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:within the hour kind of thing.
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:we don't always have the luxury in
all roles to embed yourself in a
196
:week long learning about the culture.
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:So I think that now, especially
with technology, we can reimagine
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:what is onboarding and how
199
:does it start before you even
show up on the first day so
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:that you give micro learnings
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:in advance.
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:But also, perhaps it's getting
them operational first, and
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:then throughout their journey,
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:Perhaps it's getting them operational
first and then throughout their
205
:journey, give them the right doses
of culture, inspiration, or what
206
:is the company about, rather than
bombarding them just from the start.
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:Just one practical example.
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:And it's not necessarily a profound thing,
but when you have a number of different
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:HR programs, they start to compound.
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:this is one way to simplify.
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:Thomas Kunjappu: And looking at it
from the customer's point of view,
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:it's like when they start to compound,
you look at it from store clerk's
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:point of view, what just happened.
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:I just spent a
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:week in a room consuming all these like
PowerPoints, which then you forget about.
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:That's a classic way to do it.
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:So then let's talk about
AI a little bit more.
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:How do you see just AI
changing the way HR is done?
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:Alim Dhanji: You can't have a discussion
any day of the week without talking
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:about AI.
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:And it's, yes, there's a lot of AI
opportunity within HR, but quite frankly,
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:permeating right across the organization
in every function, country, every role.
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:But if I look
224
:at HR specifically, I started
this role about 16 months ago.
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:And within the first 90 days, of course,
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:after listening and paying attention
to what people need in the company,
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:I got together with my senior
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:HR leadership team and
we created a bold vision.
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:And it started off with,
we will be an AI first
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:digitally enabled HR function.
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:And my entire team was not with me.
232
:They rejected that and I
didn't want to be directive,
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:so I let it simmer for a couple of months.
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:But as time went on and
everything that's happening now
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:around how HR is absorbing AI,
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:whether it's recruitment
or learning or onboarding,
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:it's becoming real.
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:And so I didn't force it
through, but I did set the bar.
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:And what I found was that the
HR team grabbed onto the AI
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:first digitally enabled concept.
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:And now they love it, right?
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:Because it set the tone around
how we support the business.
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:And every product that we look at, so
look at HR as a series of products.
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:And therefore, how do
you manage each product?
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:And what is the design
thinking, et cetera?
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:business.
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:And every product that we look
at, so I look at HR as a series
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:of products and therefore
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:how do you manage each product and
what is the design thinking, et cetera.
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:So we're looking literally at every
product to say, if we had to scrap
251
:this product and rebuild it, how would
we look at it with an AI first lens?
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:done that with learning.
253
:We're now doing that with recruitment.
254
:And I can't wait to get started
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:on performance because I think
that is going to be such a huge
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:unlock around how we think about AI
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:enablement through performance.
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:But I could go on and on.
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:The biggest area I think is probably
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:unlocking transactional services
that HR is just so mired in.
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:And there are so many platforms out there,
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:but that look at automating and digitizing
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:and creating consumer-grade experiences
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:for your workforce to
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:transact within, with the company,
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:that just then creates all this capacity
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:for HR to do different things.
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:So there's both an effectiveness
269
:and an efficiency agenda for HR when
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:it comes to AI.
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:Thomas Kunjappu: Like with some of
the examples around like learning
272
:or recruitment, like there's,
273
:you could improve the candidate
or employee experience through
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:these programs beyond what
275
:you were able to do with the
resources you had available.
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:But then on the other hand, for example,
277
:with HR service delivery and
tickets and answering questions
278
:that can actually be more efficient,
279
:but also better for
employees at the same time.
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:I want to hone in on a
little sub challenge that
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:you've started talking about
there, which is bringing team
282
:along in a transformation as a
283
:mindset to be, let's say, be AI
native in this case, which there
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:is resistance, I think, across
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:the organization.
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:Like you said,
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:AI is impacting every
part of the organization.
288
:But let's stay specifically within HR.
289
:How did
290
:you think about guiding your team in this
direction, being firm, but also open?
291
:If you're talking to your peers who are
at the CHRO level, have that mindset, and
292
:at the organization level, there's this
buy-in towards reimagining the function.
293
:How would you go about translating
that into the organization
294
:itself or the function itself?
295
:Alim Dhanji: Yeah.
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:So I think it's important
always to role model first.
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:So I would share in our town halls,
even in our day-to-day interactions,
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:how I'm using AI to
make myself productive.
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:And it could be the most simple
example or something that's
300
:just innovative and complex.
301
:There are AI applications
out there where you
302
:could take a pretty dense annual report or
financial statement and put it in there.
303
:And it will produce a two-minute
podcast that you can listen
304
:to, which is in layman's terms.
305
:So what would normally take you
maybe 90 minutes to absorb and
306
:dense reading, not so exciting,
307
:you now have the gist of it within
a couple of minutes, which then
308
:sharpens your financial acumen.
309
:So I think you can go into a
meeting that much more prepared.
310
:But what else I did is with the team,
311
:We did a global hackathon.
312
:Alim Dhanji: This was almost about
eight or nine months ago, but we...
313
:We gave this challenge over 72 hours
to all HR colleagues around the world
314
:and said, come up with different ideas
of how you could leverage AI, whether
315
:it's efficiency or it's effectiveness.
316
:We want to hear them all.
317
:had no idea what we were going to get.
318
:I wasn't expecting any silver bullets.
319
:But what was amazing was that everyone
rallied and we got over 100 ideas and
320
:we picked the top 10 that we would then
321
:move forward for potential use cases.
322
:That is great.
323
:It's great to get that short list of 10,
324
:but what is even greater was just giving
people space and time to experiment
325
:and to try something different
and get comfortable with it.
326
:The resistance comes from the unknown.
327
:And there is a lot of fear because
the immediate thing that people go to
328
:when you talk about AI is it's just
for technologists, which I am not,
329
:or it's going to take over my job.
330
:And so why would I?
331
:I found the experimentation really helped.
332
:And then the third area is
about skills enablement.
333
:And there is no shortage of this.
334
:I don't think you need to
create that internally.
335
:You can go on MIT, Google.
336
:There's so many different options where
you could just go online and learn
337
:for free about different forms of AI.
338
:And if you're just using ChatGPT,
I think you're using like half a
339
:percentage point of what's really
available out there, right?
340
:So I think those three, there's
341
:probably more, but those three, I
would definitely say are fundamental
342
:and foundational in setting the
343
:tone around
344
:AI.
345
:Thomas Kunjappu: So then have you had
any reactions from the either HR teams or
346
:even we can go broader to the organization
as well, because we're talking about a
347
:whole workforce that is shifting, right,
and adapting to AI in their day to day.
348
:Any stories from the trenches?
349
:Alim Dhanji: Yeah.
350
:Shortly after I was visiting our
offices in Munich and I sat there
351
:and there were some presentations
and our head of comp for the region
352
:said, Oh, I want to show you.
353
:I just created our own
little GPT for comp.
354
:And that excited me.
355
:And what he did was one of the things
that comp people get quite often are
356
:job reviews, position profiles, because,
you know, you're going to reevaluate
357
:them and reassign a grade and then
attach a comp profile against it.
358
:And it's rinse and
repeat type of analysis.
359
:But now a GPT can do this.
360
:You load the job description,
it will analyze it against a set
361
:of variables that are defined.
362
:And then with the data from comp
surveys say, this job really looks
363
:like it's this grade.
364
:And if it's this grade, then
it'll be this comp range, right?
365
:So normally human intervention, probably a
couple hours with GPT, it's probably five
366
:to 10 minutes of some back
and forth, which then frees up
367
:capacity for the comp person
368
:and delights the manager that's.
369
:requesting it because they
get it really quickly.
370
:And probably you're
going to get additional
371
:intelligence from that chat interface
that you might not have had.
372
:So that was one really great
373
:example.
374
:On the other hand, I also got
feedback that, oh, wow, I'm
375
:scared because my job all day
376
:is to write job profiles.
377
:And now ChatGPT can
write it in 30 seconds.
378
:So that gives an opportunity
for us to have an open dialogue.
379
:And I don't want it to be threatening.
380
:So I don't want them to feel that
they're going to be exited next week.
381
:I want to give them time
and capacity to reskill.
382
:And I think that is an accountability and
something that leaders need to lean into
383
:so that we make sure that re-skilling
384
:is a benefit.
385
:And I got this from Tanuj,
who is CHRO and had a brand at
386
:Standard Charter, because this
387
:notion of re-skilling as a
benefit for employability is
388
:fascinating, especially now.
389
:If you've got a workforce that's
a bit nervous around what's going
390
:to happen to them, then we have a
responsibility as leaders to reskill
391
:and improve their employability.
392
:This has been a fantastic
conversation so far.
393
:If you haven't already done so,
make sure to join our community.
394
:We are building a network of the
most forward-thinking, HR and
395
:people, operational professionals
who are defining the future.
396
:I will personally be sharing
news and ideas around how we
397
:can all thrive in the age of ai.
398
:You can find it at go cleary.com/cleary
399
:community.
400
:Now back to the show.
401
:Thomas Kunjappu: And while it is
a responsibility, it can also be a
402
:competitive advantage in the labor
market if you are doing it well and are
403
:making that promise, especially in this
market, that's a great point and a good
404
:reframing of reskilling and
actually the L&D work and tying
405
:that HR function does, but
tying that to the engagement and
406
:outcome metrics potentially for
407
:the organization.
408
:But let's talk beyond AI to
just the future of how this
409
:function is kind of moving,
410
:But kind of moving, because in line
with your background of being curious,
411
:being a student, working with the
business as a client in HR, but then
412
:also being on that client side or on
the business owning P&Ls or trying to
413
:make things happen on a tactical level.
414
:How do you think HR professionals can go
from this tactical execution, which is an
415
:administration, which has been the
hallmark for a while, to becoming
416
:more influential, becoming true
417
:business partners within the organization?
418
:Alim Dhanji: Yeah.
419
:So I always think about,
maybe it's the M&A
420
:background in me, but do you divest?
421
:What do you acquire?
422
:What do you give up?
423
:What do you pick up?
424
:And so I do think that we're all
constrained in terms of time.
425
:Finding an hour in the week is
426
:difficult at best.
427
:And so you have to figure out how you're
going to divest and whether, again,
428
:going back to AI, if you can
leverage AI to make yourself more
429
:productive so that you can carve out
430
:an extra hour or 90 minutes in your week,
431
:then that liberates you
to pick up something new.
432
:And if you're sharpening
your P&L or financial
433
:or business acumen, I think
the one greatest benefit of
434
:AI is that it has technology.
435
:taken down the gatekeeping
of technical expertise.
436
:Right?
437
:If I'm going into a meeting and
I'm, and actually this is a true
438
:scenario where we're redesigning
439
:or reimagining some of our
compensation programs in equity,
440
:which is so hardwired to our financial
441
:metrics.
442
:And we want to be innovative,
but also want to be in compliance
443
:with, we're a public company,
444
:not a private equity.
445
:But I could use chat GPT or
other forms of AI to really
446
:teach myself around why looking
447
:at free cash flow versus return
on equity or certain type of other
448
:financial metric, you can quickly have
a discussion that gives you the right
449
:confidence and capability to
have that sort of debate with
450
:the CFO or other leaders.
451
:So technical
452
:gatekeeping is now no longer an issue.
453
:And so you don't necessarily
have to go to business school.
454
:Sure, going to business school
teaches you things and it gives you a
455
:broader depth.
456
:But if you're at a career level where you
don't want to go back to business school,
457
:I think AI is a big unlock.
458
:And I think that should be leveraged.
459
:Thomas Kunjappu: I just want to go
deeper on this particular use case,
460
:because I think from a couple of angles,
461
:first of all, I think there's a
good example of the kind of thing
462
:that deeper new work that AI,
463
:it's an example potentially of a
new work that AI enables because
464
:it's very easy to think about
465
:the kind of work that we're
doing today that goes away.
466
:But in this case, I would argue there's a
467
:kind of thing that maybe wouldn't
really get done maybe at a public
468
:company with a major huge ROI
469
:to getting the comp
structure exactly right.
470
:But for a lot of other
companies, this kind of work
471
:may not actually ever get done.
472
:Or if it does, in this case,
you're doing some complex modeling
473
:about how the compensation
474
:program might impact free cash
flow or the return on stock.
475
:And those things would really, I
would imagine in yesteryear, involve
476
:meetings, including someone in financial
operations or an analyst who is saying,
477
:okay, now you've got some homework.
478
:Come back with a model or build a
custom spreadsheet where we can make
479
:some tweaks, make some assumptions
and have a bunch of meetings together.
480
:But that could happen by yourself
more dynamically and you can get some
481
:answers more rapidly, which I think
the other part of what you're saying
482
:is it also is helping you.
483
:If you're curious, it's not
just about doing things,
484
:it's also about teaching
you things, right?
485
:So you should be able to
use general purpose AI
486
:to help you learn areas of the business.
487
:I guess in this case,
488
:we're talking about just
how to read a P&L statement
489
:and also the impact of the,
490
:in this case, compensation
and how it would impact that.
491
:But really, arguably
any product, as you say,
492
:or program from HR, if you want
to match it to, or think about
493
:ROI or think about how it impacts
494
:the P&L, you could do a similar
kind of exercise and teach yourself.
495
:that.
496
:Alim Dhanji: And it applies
to so many different areas.
497
:I've implemented value change
initiatives in other companies.
498
:And in the past, especially in
global companies, when you're rolling
499
:out values, it's not just about
500
:the organizational corporate layer.
501
:It is how are those values going to sit
in Mexico versus China versus Botswana.
502
:And typically, you would have
had to spend a small fortune
503
:on an external consultant who
504
:has a background in anthropology
or whatever to stress test it
505
:for you and give you a report
506
:that says, this is where we have concerns
and this is what you should consider.
507
:We just did that.
508
:We implemented our values.
509
:In fact, we're launching them next week.
510
:And before we had the discussion at
the ELT, we put it through a GPT.
511
:And I said, we operate in these countries.
512
:We want to make sure that our coworkers
understand and connect to the values,
513
:which countries should I anticipate
sensitivity and what I got back was
514
:something amazing and it was a table
515
:that helped me think through things
and I and I met with each of the
516
:presidents in our regions and I
517
:shared them they said yes that's
exactly correct and we should
518
:think about this word being a bit
519
:too aggressive in some parts of
the world this might be perceived
520
:as a dare or we have dare to go
521
:that might be perceived
be perceived as a threat.
522
:So how do we augment that?
523
:And so that it was
together, we dare and go.
524
:And that makes it a
little bit more accepting.
525
:But that piece of work, A,
would have taken us weeks to do.
526
:It would probably cost $100,000.
527
:And we did this in a couple hours.
528
:Right?
529
:So productivity, efficiency,
effectiveness, speed.
530
:So you delight the CEO because you got
this sorted within a short period of time.
531
:I could give you endless examples
of how AI is changing everyone's
532
:role and how they could lean in and
be more effective and efficient.
533
:Thomas Kunjappu: So if you take all
of these, there's so many use cases
534
:and examples that we were just like
535
:peppering in throughout, right?
536
:If you add them up all together
and you look to the future,
537
:what is the function look like?
538
:Do you imagine?
539
:Let's say, give it a
five-year horizon, right?
540
:What is going to be different about what
people are doing tactically, day-to-day?
541
:What's being demanded or what is a demand
sucked in from both employees and boards
542
:and executive teams from the function?
543
:And of course, how can we
all get ready for that.
544
:Alim Dhanji: Yeah.
545
:So the notion of super worker,
I think it is true, but
546
:connecting the super worker to a
547
:unlock of technical gatekeeping
for various disciplines then
548
:creates an opportunity for
549
:those that excel in critical thinking and
550
:change leadership, reasoning, articulating
some information and storytelling.
551
:By the way, those are all
portable capabilities, right?
552
:And not specific to a discipline,
finance or HR or marketing.
553
:Those are general capabilities.
554
:If you have someone with that and then
they're leveraging AI the right way,
555
:you don't need the
expertise in compensation.
556
:You don't need the expertise
of 10, 15 years in learning
557
:and development or in benefits
558
:administration, because AI is going to
be able to make that available to you.
559
:It's about writing the right prompt.
560
:It's about then taking that
information and then applying
561
:critical reasoning saying,
562
:does this make sense?
563
:Is this the right thing
for an organization?
564
:You're still going to
have to implement it.
565
:So then what's the change
leadership around it?
566
:So to me, it is about the super worker
567
:who can take vast amount of information.
568
:They don't have to be
the technical expert.
569
:It is literally the layer of
being able to take information,
570
:storytell it, and make meaning of it
571
:fit for purpose for the
organization that they're in.
572
:Thomas Kunjappu: That
573
:leads to an important question then.
574
:What would, if that's the case, and you're
talking to early career professionals
575
:who are just, or maybe someone who's
576
:just in college at the moment, right?
577
:And they're thinking about getting
into the HR field or that's
578
:what they're like studying for,
maybe even doing a master's in it.
579
:What kind of advice would you
580
:have for those kinds of
folks given that future?
581
:Alim Dhanji: It's a challenge.
582
:I honestly empathize with new grads
right now because we haven't in
583
:society adopted that superworker
584
:model and we haven't in organizations
created the stratification
585
:of how many humans and how
586
:many agents we need.
587
:I think it's coming.
588
:So we're there right now in
a little bit of a limbo and I
589
:know so many smart people who've
just graduated and cannot find
590
:work because the consulting firms are
not recruiting as much as they used to.
591
:so I think that there's
592
:going to be a period of ambiguity.
593
:What I would say to them is lean in
into those portable capabilities of
594
:critical thinking, understanding how
to leverage and harness storytelling.
595
:These are all
596
:important capabilities that I
think are going to become that
597
:much more critical going forward.
598
:I go back to another experience I had
when I got this Adidas president role.
599
:My then CEO, Casper,
600
:also sent me, and I was
privileged to do this.
601
:It was really difficult, but
I was privileged to go to
602
:Harvard for the AMP program.
603
:And what they do really well
is, we went through 180 cases,
604
:different companies, and you learn
everything about Disney to Starbucks
605
:to all kinds of different cases.
606
:What they're actually teaching
607
:teaching you is not to be an expert
as a technologist or a finance leader.
608
:They're
609
:teaching you critical thinking with
the data that you have available.
610
:Okay.
611
:So now I take that.
612
:And if I've learned some critical
thinking there, that's great.
613
:But the data that you have available
614
:now is endless, right?
615
:Think about that.
616
:So it's not just the data you
have available at your fingertips.
617
:You now
618
:with ChatGPT or any form of AI,
you can get all kinds of data,
619
:but then it's too much data.
620
:So
621
:how do you bring that back and
converge and diverge and make
622
:meaning of it and then implement
623
:a sound strategy?
624
:So it's exciting, but it's also scary.
625
:But I come back to critical thinking
as being the one capability that we
626
:really need to lean into.
627
:Thomas Kunjappu: Let me push back a little
bit on this one concept about not that
628
:critical thinking, storytelling, these
meta cognition skills are not important.
629
:Obviously, they are.
630
:And yet using like software engineering,
for example, like a software engineer
631
:is best positioned to prompt an
AI agent to create software for
632
:them that is not buggy and that's
performant and production ready.
633
:to create an AI agent that will help
them or work with AI in a way that
634
:will produce results that you can
actually reliably stand behind and
635
:recommend in polite conversation.
636
:And even forgetting the
637
:hallucinations, just the idea
that you're able to converse in
638
:depth on this particular field and
639
:topic versus asking maybe more basic
questions if you weren't there.
640
:Isn't there still, I guess
what I'm getting at, isn't
641
:there still role for expertise,
642
:in-depth knowledge beyond
the metacognition skills,
643
:which are important to get
into any particular topic
644
:because there will still
be specialties, right?
645
:And people who are really good
646
:in using the latest technology available
647
:to get outcomes that are best in class.
648
:Alim Dhanji: My hot take is for now, yes.
649
:Because we haven't yet gotten
into a full agentic workforce.
650
:But you're right.
651
:At some point, it'll take a
compensation expert coupled with
652
:someone who's probably a technologist
653
:to create an agent that can do exactly
654
:what that comp person could do.
655
:We're not there yet.
656
:And so right now we're
using general GPTs and AI
657
:to extract knowledge
and make meaning of it.
658
:But we're fast moving towards
agentic opportunities.
659
:And so when we get there,
660
:I do think that the technical
roles will no longer be needed.
661
:You're going to focus more on
what do you do with the outcome
662
:of what that agent's producing.
663
:Again, I'm not a futurist, but
that's what I'm seeing, the trend.
664
:go towards.
665
:I'm not a lawyer, but I worked
through just more recently
666
:creating a power attorney for
667
:my mother.
668
:Normally I'd go and pay 500
bucks and have it written.
669
:I wrote it.
670
:Now, again, I don't
671
:know if it's hallucinating or not,
but I wrote it in minutes, tweaked it.
672
:And then I have a phone
673
:a friend, right?
674
:So right now I just send
it to lawyer friend.
675
:I said, I don't want to pay.
676
:Can
677
:you take a look at it?
678
:And they did.
679
:And so it's pretty sound.
680
:Thomas Kunjappu: Yeah.
681
:Alim Dhanji: You know, it's pretty
682
:sound.
683
:So why would I go?
684
:So I think this is going to
continue to proliferate at the point
685
:where you're going to probably
have an agent that specializes
686
:in power of attorneys.
687
:Thomas Kunjappu: It makes sense.
688
:And at some point, the burden of proof is,
right now, the burden of proof is on the
689
:LLM for anything that is of import.
690
:So in this case, you want to get
this right if you're going to
691
:actually get this document signed.
692
:So you're putting a human in the loop.
693
:But maybe at some point, that
will be 9,999 times out of 10,000.
694
:It's just just getting it right and
so people flip to it being completely
695
:autonomous
696
:Alim Dhanji: yeah it's that it's that
validation rule right now there's
697
:definitely validation we are exploring
for example we do hundreds of rfps
698
:and rfps if you've ever written one
699
:two to three weeks at least right
depending on the how big the
700
:initiative is yeah i can literally do
701
:that now in an hour with
some back and forth.
702
:But I would
703
:be uncomfortable putting out an
RFP, responding to a client with
704
:it just going through our system
705
:and not having being reviewed by a human.
706
:So you still need a validation layer.
707
:And that might be
708
:a lawyer, that might be a salesperson
or a marketing person in future.
709
:I don't know.
710
:I think that a number of agents will
look at that RFP and comment on it.
711
:There might be some kind of DocuSign.
712
:There's got to be, that's
got to be where we're going.
713
:There are pros and cons to it
from a society perspective,
714
:from what this means for jobs.
715
:I'm not advocating for it.
716
:But I also have to accept that's
717
:probably where we're going.
718
:And so we have to think about
what are the implications.
719
:Thomas Kunjappu: Right.
720
:And the time horizon for that could
be, there's a lot of debate about that.
721
:We're talking
722
:about like fully agentic and not
to mention like AGI, but there's
723
:a clear trajectory that we can't
724
:ignore.
725
:And we've also talked about a lot of
things short term that we should be
726
:doing right away within the HR function
or not to future proof ourselves.
727
:Now, just to close out, you brought
up this concept of a super worker.
728
:Could you just explore that concept
a little bit more in depth for us?
729
:Alim Dhanji: think there are probably
multiple definitions and someone's
730
:probably got the right definition.
731
:I think there are probably
multiple definitions and someone's
732
:probably got the right definition.
733
:In my lens, it is someone who is
leveraging AI to make themselves so
734
:much more effective and efficient.
735
:And so what normally you do in
736
:40 hours, you might be able to do
in 30 or 25 hours, but you don't
737
:slack off for the other 10 or 15.
738
:You do more.
739
:And so actually you're
getting expansion, right?
740
:So 40 hour week, if that's
741
:what you're doing, you're probably
doing 70, but you're not working 70.
742
:I think that I see some of those
individuals in our organization who
743
:have just harnessed AI so brilliantly
that they're turning things around much
744
:quicker than they were in the past.
745
:And there's less back and forth.
746
:They're over delivering.
747
:So I do classify them as a super worker.
748
:Thomas Kunjappu: That's great.
749
:Thank you for that.
750
:And for the broader conversation,
Alim, are there any closing
751
:thoughts you want to share
752
:with us as you to mark this moment in
time where we're just in this transition?
753
:You specifically for folks
coming newly into the labor
754
:market, we talked about there's
755
:a lot of uncertainty and
it's really for everyone.
756
:There's uncertainty about where
things are headed specifically.
757
:What do you look forward to the most?
758
:Alim Dhanji: I mean, like all
conversations, they end up
759
:focusing so much more on AI.
760
:And so I do think that is
where the direction is.
761
:But if I raise the aperture there, it
is such an amazing moment to be in HR.
762
:And as I think about other
leaders who've left HR more
763
:recently, like Lina Nair, who left
764
:HR at Unilever now, is a very
successful CEO of Chanel and
765
:blowing the numbers out at the park.
766
:I do think that this is the moment
where HR professionals and HR leaders
767
:can have a greater impact, not only in
768
:business, but helping to channel and shape
some of the implications of AI in society.
769
:We shouldn't forget that.
770
:And I think that creates purpose because
it is going to change the swim lanes
771
:of how people graduate, how people
learn, how many people are employed.
772
:So get really excited about that.
773
:Maybe it's the geek in me, but super
exciting moment for us to be there.
774
:And we shouldn't shy away.
775
:I
776
:think we should just grab it
by the horns and go for it.
777
:Thomas Kunjappu: I love that.
778
:And if you have
779
:a growth mindset, you're a constant
student when the game on the field
780
:is changing, data is changing.
781
:It's just an opportunity to learn more.
782
:And because new knowledge
is available for the taking.
783
:Thank you for this wonderful
conversation, Alim.
784
:I think there's a lot of value for
fellow CHROs and people operations
785
:specialists to the directors of HR.
786
:We're all kind of thinking about
how their roles may change.
787
:And it's a really fascinating background
788
:that you bring into this.
789
:And specifically coming in and out
790
:and back to HR through
all of the transitions.
791
:Thank you once again for the conversation.
792
:To everyone out there who's listening,
793
:I hope you found as much value
794
:as I did.
795
:Good luck as you are future-proofing
your own organizations
796
:and your own HR functions,
797
:and I'll catch you on the next one.
798
:Bye now.
799
:Alim Dhanji: Thanks, Thomas.
800
:Thanks for joining us on this
episode of Future Proof HR.
801
:If you like the discussion, make
sure you leave us a five star
802
:review on the platform you're
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803
:Or share this with a friend or colleague
who may find value in the message.
804
:See you next time as we keep our pulse on
how we can all thrive in the age on AI.