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Reinventing HR: Courage, Curiosity, and the AI-Ready Workforce
Episode 317th November 2025 • Future Proof HR • Thomas Kunjappu
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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:

  • Reframing HR as a product-driven function.
  • Building an AI-first, digitally enabled HR team.
  • Turning resistance to AI into experimentation and learning.
  • Simplifying HR programs for real business impact.
  • The rise of the “super worker” and the fall of technical gatekeeping.
  • Why critical thinking is HR’s most future-proof skill.
  • How AI creates capacity for more human leadership.

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:

Transcripts

Alim Dhanji:

I do think that this is the moment where HR

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professionals and HR leaders can

have a greater impact, not only in

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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.

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Thomas Kunjappu: Hello and welcome to the

Future Proof HR podcast, where we explore

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how forward-thinking leaders are preparing

for disruption and redefining what it

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means to lead people in a changing world.

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I'm your host, Thomas

Kunjappu, CEO of Cleary.

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Today's guest is Alim Dhanji,

CHRO at TD SYNNEX, a dynamic HR

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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

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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.

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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

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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.

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It's about navigating the organization

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and picking up new capabilities

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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.

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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.

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So I do think that the

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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.

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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.

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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

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balancing the hearts and minds and

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culture and what is the

company about, et cetera.

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Yes, that is true, but it

is also true that person

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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

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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

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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

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journey, give them the right doses

of culture, inspiration, or what

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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

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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.

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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

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this product and rebuild it, how would

we look at it with an AI first lens?

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done that with learning.

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We're now doing that with recruitment.

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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

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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

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or recruitment, like there's,

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you could improve the candidate

or employee experience through

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these programs beyond what

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you were able to do with the

resources you had available.

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But then on the other hand, for example,

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with HR service delivery and

tickets and answering questions

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that can actually be more efficient,

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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

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along in a transformation as a

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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.

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But let's stay specifically within HR.

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How did

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you think about guiding your team in this

direction, being firm, but also open?

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If you're talking to your peers who are

at the CHRO level, have that mindset, and

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at the organization level, there's this

buy-in towards reimagining the function.

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How would you go about translating

that into the organization

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itself or the function itself?

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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

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just innovative and complex.

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There are AI applications

out there where you

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could take a pretty dense annual report or

financial statement and put it in there.

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And it will produce a two-minute

podcast that you can listen

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to, which is in layman's terms.

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So what would normally take you

maybe 90 minutes to absorb and

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dense reading, not so exciting,

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you now have the gist of it within

a couple of minutes, which then

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sharpens your financial acumen.

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So I think you can go into a

meeting that much more prepared.

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But what else I did is with the team,

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We did a global hackathon.

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Alim Dhanji: This was almost about

eight or nine months ago, but we...

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We gave this challenge over 72 hours

to all HR colleagues around the world

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and said, come up with different ideas

of how you could leverage AI, whether

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it's efficiency or it's effectiveness.

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We want to hear them all.

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had no idea what we were going to get.

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I wasn't expecting any silver bullets.

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But what was amazing was that everyone

rallied and we got over 100 ideas and

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we picked the top 10 that we would then

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move forward for potential use cases.

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That is great.

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It's great to get that short list of 10,

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but what is even greater was just giving

people space and time to experiment

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and to try something different

and get comfortable with it.

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The resistance comes from the unknown.

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And there is a lot of fear because

the immediate thing that people go to

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when you talk about AI is it's just

for technologists, which I am not,

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or it's going to take over my job.

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And so why would I?

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I found the experimentation really helped.

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And then the third area is

about skills enablement.

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And there is no shortage of this.

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I don't think you need to

create that internally.

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You can go on MIT, Google.

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There's so many different options where

you could just go online and learn

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for free about different forms of AI.

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And if you're just using ChatGPT,

I think you're using like half a

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percentage point of what's really

available out there, right?

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So I think those three, there's

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probably more, but those three, I

would definitely say are fundamental

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and foundational in setting the

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tone around

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AI.

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Thomas Kunjappu: So then have you had

any reactions from the either HR teams or

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even we can go broader to the organization

as well, because we're talking about a

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whole workforce that is shifting, right,

and adapting to AI in their day to day.

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Any stories from the trenches?

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Alim Dhanji: Yeah.

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Shortly after I was visiting our

offices in Munich and I sat there

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and there were some presentations

and our head of comp for the region

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said, Oh, I want to show you.

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I just created our own

little GPT for comp.

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And that excited me.

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And what he did was one of the things

that comp people get quite often are

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job reviews, position profiles, because,

you know, you're going to reevaluate

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them and reassign a grade and then

attach a comp profile against it.

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And it's rinse and

repeat type of analysis.

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But now a GPT can do this.

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You load the job description,

it will analyze it against a set

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of variables that are defined.

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And then with the data from comp

surveys say, this job really looks

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like it's this grade.

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And if it's this grade, then

it'll be this comp range, right?

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So normally human intervention, probably a

couple hours with GPT, it's probably five

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to 10 minutes of some back

and forth, which then frees up

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capacity for the comp person

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and delights the manager that's.

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requesting it because they

get it really quickly.

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And probably you're

going to get additional

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intelligence from that chat interface

that you might not have had.

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So that was one really great

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example.

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On the other hand, I also got

feedback that, oh, wow, I'm

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scared because my job all day

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is to write job profiles.

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And now ChatGPT can

write it in 30 seconds.

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So that gives an opportunity

for us to have an open dialogue.

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And I don't want it to be threatening.

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So I don't want them to feel that

they're going to be exited next week.

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I want to give them time

and capacity to reskill.

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And I think that is an accountability and

something that leaders need to lean into

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so that we make sure that re-skilling

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is a benefit.

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And I got this from Tanuj,

who is CHRO and had a brand at

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Standard Charter, because this

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notion of re-skilling as a

benefit for employability is

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fascinating, especially now.

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If you've got a workforce that's

a bit nervous around what's going

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to happen to them, then we have a

responsibility as leaders to reskill

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and improve their employability.

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This has been a fantastic

conversation so far.

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If you haven't already done so,

make sure to join our community.

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We are building a network of the

most forward-thinking, HR and

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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

listening to or watching us on.

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.

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