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HR in the Age of AI: Leadership, Talent, and the New Rules of Work
Episode 5220th February 2026 • Future Proof HR • Thomas Kunjappu
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In this episode of the Future Proof HR podcast, Thomas Kunjappu, CEO of Cleary, sits down with Adam McCoy, VP of HR at DMC Global Inc., to discuss what AI really means for HR leaders navigating economic pressure, talent shifts, and rising expectations to do more without adding headcount.

Adam explains why he is not asking for more HR headcount and how AI is changing the way teams prioritize, execute, and deliver value. From building leadership training with AI to rethinking day-to-day workflows, he shares practical examples of working smarter without sacrificing quality.

The conversation also explores how AI is reshaping talent acquisition on both sides of the hiring process. As candidates and employers both use AI tools, Adam breaks down the tension between efficiency, bias risk, legality, and candidate experience. He argues that AI fluency is quickly becoming a baseline expectation across roles.

They discussed governance and guardrails. Ignoring AI is reckless. Banning it is unrealistic. HR must help define responsible use, protect data, and build literacy across the organization.

The episode closes with a clear message: you won’t be replaced by AI, but you might be replaced by someone who knows how to use it.

Topics Discussed:

  1. Why many CHROs are prioritizing productivity over headcount expansion
  2. Using AI to build leadership training and accelerate HR execution
  3. The evolving AI arms race in talent acquisition
  4. Balancing automation, bias, and legal risk in AI-powered hiring
  5. How AI fluency is becoming a baseline job requirement
  6. The role of HR in enterprise AI governance and data guardrails
  7. Why ignoring or banning AI is not a viable strategy
  8. Reskilling inside the HR function to stay relevant
  9. Maintaining trust and employee experience in an AI-enabled workplace
  10. Why adaptability, not fear, is the real competitive advantage

If you are an HR leader navigating AI adoption, rethinking your talent strategy, or wondering how to stay relevant in a rapidly shifting workplace, this episode offers a grounded and candid look at what it takes to lead through the shift.

Additional Resources:

  1. Cleary’s AI-powered HR Chatbot
  2. Future Proof HR Community
  3. Connect with Adam McCoy on LinkedIn

Transcripts

:

I heard this at a recent event that you're not gonna be replaced

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by AI, you're gonna be replaced by

someone who knows how to use AI.

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Thomas Kunjappu: They keep

telling us that it's all over.

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For HR, the age of AI is upon

us, and that means HR should

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be prepared to be decimated.

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We reject that message.

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The future of HR won't be handed to us.

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Instead, it'll be defined by those

ready to experiment, adopt, and adapt.

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Future Proof HR invites these builders to

share what they're trying, how it's going,

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what they've learned, and what's next.

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We are committed to arming HR

with the AI insights to not

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just survive, but to thrive.

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Welcome to Future-Proof HR Podcast

, where we explore how forward-thinking

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HR leaders are preparing for disruption

and redefining what it means to

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lead people in a changing world.

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Today's guest is Adam McCoy,

VP of HR at DMC Global, Inc.

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A 20 plus year global HR leader

across manufacturing, supply chain,

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financial services, aviation, and tech.

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Adam focuses on aligning HR strategy

to business imperatives while

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elevating employee experience.

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He also serves as Colorado s

shrm state director, where he

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recently helped convene the state's

first AI focused HR conference.

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So a lot for us to talk about.

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Adam, welcome to the podcast.

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Speaker 2: Great, great to be here.

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Excited for the conversation.

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Speaker: So I'd love to talk about AI,

but before that, I wanna, play back

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a quote that you told me, you told me

last time we chatted, which is that,

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you're not running into the CEO's

office anytime soon asking for a lot

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of headcount within the HR function,

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Speaker 2: right?

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Speaker: with or without

a recession on deck.

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Speaker 2: Yeah.

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Speaker: Tell me more about that.

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Speaker 2: I think that, with

just the state of you know, you're

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right, the economy set aside.

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I think that we're in a place where there

are so many exceptional tools coming out

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every single day that we actually are able

to find ways to work smarter, to work.

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I think frankly to in many ways end

up with a better product, and not

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need necessarily all of the headcount

that it might have taken historically.

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When you think about developing something

simple like a job description or a

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comp plan or a PowerPoint deck, those

things would've taken a lot of time.

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And when you're a leader, you

probably want to save your

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time for what's most valuable.

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And perhaps you need to be maybe in the

approval process, but maybe you wouldn't

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have spent a lot of time designing it.

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Well now, everyone can do it.

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those folks of course, that

stay AI literate, right?

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And I think that's, that's the imperative.

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Speaker: okay.

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So I said we're not gonna talk about

AI with this question, but actually,

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so it sounds like that is like

really like what's on your mind?

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In addition, I don't know, there's

a kind of uncertainty, arguably

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in the macroeconomic situation.

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Speaker 2: I think that's more to it.

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I think that's definitely right and

certainly in our industry, in some

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of the industries that our companies

and my company's involved with

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are experiencing some volatility.

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I mean, I think like a lot of companies

are right, and I also don't know that

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it makes a lot of sense to go out

recruiting a bunch of folks at the moment.

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when the whole sort of larger economic

climate is a little bit unsettled, right?

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So I think it is about figuring out

what you can do, with what you have.

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And how do we challenge and keep

our staff ahead to meet this demand?

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But you're right, I wouldn't be

going into the corner office, as to

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ask for a significant incremental

headcount unless it was something

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project based or something.

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But otherwise, I don't think based on

economics, based on industry, I think

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there's a number of things that cause

that conversation to be where it's at.

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Speaker: You're very engaged

in the local HR community.

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Speaker 2: Yeah.

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Speaker: And you're talking to

your fellow CHROs all the time.

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What are the themes that have

emerged in:

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than in years past for you?

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Speaker 2: I think people used to feel

like aI was something fairly nebulous.

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Yes, we need to do AI

because we need to do AI.

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Because of course, why

wouldn't we wanna do AI?

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Because everyone's talking about AI

and it's on the front page of every

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newspaper and blah, blah, blah.

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But I think that for me, some of

the learnings that I've had from

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a couple of groups is some of the

things that we think about as probably

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most capable in an AI setting.

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What are some of the things I just

said, like in recruiting or in

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the creation of basic policies and

communications and those things, and sure.

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But I'm also, I was really in excited

and intrigued to hear about what

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someone larger companies are up to with

how they're using AI to really help

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streamline their employee experience.

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In a couple cases, their

customer experience.

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And while I suppose one could

wonder about all of the kinda

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the tentacles of those actions.

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I think that

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it feels almost cliche, I

suppose, but almost limitless.

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Like where we can go, we just need

to make sure we can as they say,

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keep the robots from rising up.

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But I feel like most HR leaders are

having some pretty intense conversations

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internally, whether they own the AI

strategy or not, but certainly how it

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impacts employees, companies that aren't

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taking a hard look at it, I

think are missing the boat.

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There's leakage, right?

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They may think, oh, we

don't use AI, whatever.

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But they are.

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And I think that's what a lot of CHROs are

trying to not only figure out the what,

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the why, the how and, some companies are

definitely farther along than others.

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Speaker: So you said something

interesting there, which is that

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depending on the company, you might

have a different role in HR with

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relation to how the organization

will proceed forward, with ai.

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Tell me more about that.

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And also if you think in your view, like

an ideal role that the HR department

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plays in a movement of the entire

organization towards being, let's say,

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more AI fluent native adoptive et cetera.

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Speaker 2: I think that some organizations

probably will rely on their it functions

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perhaps to set this, to either set

the strategy or to at least set the

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framework, put the guardrails up.

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And I think that's most companies are

grappling with what does that mean for us?

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But I think for HR, to me, the things

that hit my mind are how do I ensure

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the employees know what they should

be using, how to use it, right?

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Because I think that there's so

many tools that are out there that

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are just deployed as part of our

operating systems these days, right?

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Yeah.

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That people could just go to the races and

how can I help make sure not only we're

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using it for the right things, but also

that they're having a good experience too.

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And so I think about things like

training, I think about things

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like partnering with the business.

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So I even understand what's the

business hoping to do with AI?

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How can I support that?

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Because obviously as we recruit and

people turn over, how do I help make

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sure that the recruiting strategy

meets their needs to around AI?

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I think HR will certainly play a

significant role in the continued

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evolution of AI in the workplace.

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Speaker: Absolutely.

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So there's like the training and

also I around both the foundational

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skills, let's call it, around

how to engage with these tools.

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'cause it's a generational shift, right?

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But then on top of that, the specific

tools that an organization is using.

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Ensuring that you're partnering with

the business to ensure there's a

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good experience and outcomes there.

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But then also you're talking about how

it maps into the recruiting funnel.

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Speaker 2: Right?

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Speaker: Because that's another

interesting shift, right?

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I feel like it's commonly told that

if you're just generally looking

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for a job as a knowledge worker, go

sharpen your AI skills somehow and

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that should like somehow help you.

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From a recruiting perspective, do

you think that's starting to permeate

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into the job descriptions or just the

requirements right across the board

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and across industries and across

roles as being relevant and useful.

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Speaker 2: I think it is definitely

starting to permeate across many

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facets of the recruiting experience.

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The whole talent acquisition process.

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I think that certainly as a recruiter,

using these tools to not only help prepare

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the most dynamic posting, the phraseology

that will get people's attention.

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And I think that there's so much

to consume out there, right?

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So how do we use the tool to

help us cut through the noise?

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Sure.

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That's one thing.

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And I think will have a long shelf life.

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But I also feel like in

talking with again, some other

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my recruiting colleagues.

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I think there's maybe some growing

concern because the applicant pool

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has become so sharp as you said.

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People are now using these tools

exceptionally well, frankly.

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And when I think about HR's role to help

maybe screen through candidates to hand

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off a slate of candidates, we think is

the best right to the hiring authority.

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How does that change?

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I have probably friends in my network

that are probably embellishing, right?

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Their skillset, right?

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Because the tools lets them

let them do that so they fit

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through the funnel, right?

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And I guess kudos for

using technology, right?

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But I wonder about you can almost

start to see it in some resumes.

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Like when you like really take a close

look like the phraseology, It almost is

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I dunno, my grammar school teacher would

probably say I wasn't the best grammarian.

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But you can see in some language like

wow, that's fascinating word choice.

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And that makes me wonder

what was behind that, right?

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I think something like as you

said, like the recruiting process

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is the tip of the spear, right?

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And that's one way that we as HR

professionals are gonna help build

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more successful businesses, right?

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Is we want to attract and retain the

brightest and most capable talent.

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And if this can help us do that's great.

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I hope that people are

using it judiciously.

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Speaker: Yeah.

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So you went in a very

fascinating direction.

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Which I wanna come back to in one second.

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But I'm curious first, from the

approach of the job description itself

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Is a line item like AI fluent or like

able to, whether in marketing or in

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sales or in operations or HR, whatever

the function across every function.

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Are you starting to see the business

demand, hey, some kind of AI literacy

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or fluency or showing that you've

done a project or done something?

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And is that permeating kind of the

requirements of like more and more roles.

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That's really I want to get at

that first before we come to the

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actual recruitment side of it.

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'Cause from the talent acquisition

team's perspective, there's a fascinating

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story you're starting to get into there.

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But if we think all jobs are

shifting, are we starting to see that?

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Because the new jobs that are going

out there are starting to evolve

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to need AI to just get a new job?

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Speaker 2: I think that's definitely true.

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I've seen it certainly in more and

more job descriptions be whether

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it makes the final job description.

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It's certainly a requirement in

talking to a hiring authority.

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they may use a specific type of

tool or a specific platform that

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they wanna make sure you have

advanced experience in Copilot Pro

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or ChatGPT, version X, XX, right?

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Not only fluency in the tool, but

also to your point, have you done

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advanced modeling, doing, using this

kind of tool for this kind of outcome?

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And I think that will

continue to be out there.

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And, as I think about it from a

candidate perspective, and frankly

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just as an employee, I think

that scares some people, right?

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and.

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I think that again, it's cliche

that people say oh, I have

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to adapt, I have to change.

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it's real.

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Yeah.

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I think that's absolutely true.

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But yes, I think to spin around

to the top, I do see it continuing

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to permeate job requirements.

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and I expect we will be soon

getting to a place where you'll

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have to demonstrate your fluency.

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Speaker: And to that point

it's only escalating, right?

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Yeah.

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So it's just hey, you can have a

one minute conversation about AI,

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'cause you used it for a recipe.

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Okay, great.

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That means that you have some basic

mindset towards agility or like

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curiosity that we've established.

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Okay, great.

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Let's move you forward.

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But maybe, depending on the job

and the industry and the function.

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It'll be much more stringent, right?

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show me how or there's like a take

home project for certain roles.

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It's literally leveraging certain like AI.

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So yeah, I can see that escalating.

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So I'd love to circle back to

the really important point that

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you made, which is, I think of it

almost there's like a war going on.

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So let's go cliche, like

the talent war always.

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Sure.

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And what's interesting at this point

is the usual profiteers in war are

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selling to both sides in this case.

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So the candidates are yeah, there's

tools out there for candidates,

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so I quickly do all types of crazy

stuff to just get in the door.

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Speaker 2: Yep.

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Speaker: And they're fighting

AI bots and all types of things

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that recruiting teams are putting

in place to get more efficient.

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And you're like getting to this whole

new level of the shell game, right?

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If you want to keep using

this war metaphor, but either

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way it's certainly changing.

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As you're like working with a recruiting

team, how do you, think about the

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guidelines or you mentioned in some

cases maybe things might be going

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overboard on either side, right?

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Yeah.

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How do you think about the guidelines

that you said, like even like with

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your own recruiting practices, right?

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Because there's probably a tool that

you can take to eliminate any human

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interaction through the entire offer.

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That's right.

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Except all the way to offer,

accept process if you wanted to.

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Speaker 2: Yep.

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Speaker: We're not exactly

doing that, but yeah.

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Have you thought about the

guidelines or the guardrails?

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Speaker 2: Yeah.

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Yeah.

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and I think the crazy part I would say is

that just your comment, four seconds ago.

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One of these, CHROs that was

in the luncheon I was at just

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recently here, they are doing that.

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The people apply, through their ATS right?

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And the AI evaluates their

candidacy, flips them back,

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beautifully written responses.

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It feels absolutely human through to phone

screen that actually it is done by AI.

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It sounds perfectly human.

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It helps craft the offer and essentially

based on all of those things, it makes a

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decision and passes that to a recruiter

who actually then reviews everything and

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makes sure that this seems reasonable.

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That feels what a marvel

of efficiency, right?

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But I think the other thing that HR

folks are struggling with and I think

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our friends in the legal department

are struggling with are we've trained

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people over the years, hiring managers

and HR professionals to keep the

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hiring process as unbiased as possible.

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Thinking about discriminatory factors.

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Those kinds of things that can creep in.

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And we do our best to guard against that.

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How do we know that process that I just

described was on guard against that?

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And I'm sure someone's gonna say

to me, Adam, you teach the machine.

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I'm okay, I get that.

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That makes sense.

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But as humans evolve, I don't know if

it's quite that easy for it to always

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be making the best choice.

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And so I worry about some of

the screening tools that I know.

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So a lot of the recruiters rely on now.

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Because I think, again, the state

of the economy, there's a lot of

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people in the job market, right?

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And so I don't fal a recruiter

for using these tools they have

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to just get their job done, right?

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But I think it's making sure that we have

calibrated these tools to do what we need

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them to do in a set aside, the legality.

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'Cause I know that's shifting around

on a lot of these kinds of things.

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But just what we should stand for, right?

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As HR professionals.

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And so I think that's definitely a

ongoing conversation among HR leaders

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is do we feel confident in these tools?

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I think people are feeling more

confident as we, as the tools evolve.

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But I don't know that I'm ready to have

that whole process be managed by AI.

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I think there are components

of it that can and should be.

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But I think it's the TA process

that HR professionals think

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about when they think of AI.

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I think for the most part, right?

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Because there's other things,

having it handle employee

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relations, those kinds of things.

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It's gonna be incredibly difficult

for it to figure that out.

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But it's repetitive.

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The TA process is repetitive, right?

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Speaker: Yeah.

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Speaker 2: It's a great use case, right?

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I think

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Speaker: Combine that with immense amount

of volume and employer bargaining power

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at the moment with the labor market.

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Speaker 2: That's right.

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Speaker: And it's just like

this formula to let's just say

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push the law to catch up, right?

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That's right.

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To efficiency.

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Yeah, I'd like to think that the

other kind of downstream impact of

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this is imagine a market where it

is a little bit more even, right?

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Like for headed back to in and in

certain sectors,:

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Where it's very tight.

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Speaker 2: Right?

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Speaker: Think about the candidate

experience and for top talent.

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That just feels I don't

wanna deal with this bot or

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Speaker 2: Right.

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Speaker: people leaving, getting

outta these funnels because they just

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feel like it's disusing them of their

humanity and they can do better.

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That's a potential downstream

effect I can see as well.

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And it seems like the industries

where this kind of mass automation

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and talent acquisition is most used

is where that balance is completely

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shifted in favor of the employer.

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Speaker 2: Right?

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Speaker: And there's let's

just go as far as we can.

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But the moment, I guess

markets are brutal, right?

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The moment you're not able to successfully

get a high conversion rate of talent,

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there's gonna be pushback on that.

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And that's even separate from

the both the ethical and legal

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constraints that you mentioned.

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Let's talk also about some

other, use cases, right?

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Everyone has different ways that

they've come at AI use cases like

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both personally and maybe the

first time in the work world.

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Tell me about a little bit about yours.

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Like how did you, what was the

first you found it adding value

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in one of your like workflows?

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Speaker 2: One of the things

that I've used it for recently,

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and did a fairly used it.

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I think fairly successfully, was the

creation of a pretty comprehensive

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training curriculum for what I might

call kind of leadership 101, right?

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So for folks that are new to leadership,

the foundations of why do you need to be

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a leader all the way through to how do

you have a difficult conversation, right?

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And a colleague of mine in my

SHRM network here in Colorado

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also was talking with me about how

she had done something like this.

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And so I think I had to

learn a little bit, right?

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Of I wanna make sure I'm using

the right cues right or the

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right prompts as they say, right?

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I want you to build this with this long,

with three exercises, two handouts,

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a graphic and a whatever, right?

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And I was amazed at generally the output.

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And through to the speaker's notes,

it helped me actually focus more

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on the conversations in the room.

363

:

Which I feel like that's

where I'm adding the value.

364

:

Putting the words on a screen,

it's important, 'cause of

365

:

course they're staring at it.

366

:

We're all staring at it.

367

:

But the fact that I could focus

and hear and really listen, right?

368

:

Because I had the notes

right in front of me.

369

:

I didn't have to worry about losing

my place, those kinds of things.

370

:

If I was listening intently to the

room and come back to the curriculum.

371

:

But I thought it was successful.

372

:

It's something that I've talked

to a few of my peers about.

373

:

And we've been kinda exchanging

some experiences and what those

374

:

products actually looked like.

375

:

Oh, what tool did you do yours in yours?

376

:

Yours has some cool whatever, right?

377

:

And

378

:

Speaker: yeah.

379

:

Speaker 2: But at the end of the

day, getting back to kinda your

380

:

top question, it saved me time.

381

:

And in this era of I think not

resources just everywhere, it

382

:

served its purpose very well.

383

:

I was very pleased.

384

:

I think the attendees were

pleased and I would do it again.

385

:

This has been a fantastic

conversation so far.

386

:

If you haven't already done so,

make sure to join our community.

387

:

We are building a network of the

most forward-thinking, HR and

388

:

people, operational professionals

who are defining the future.

389

:

I will personally be sharing

news and ideas around how we

390

:

can all thrive in the age of ai.

391

:

You can find it at go cleary.com/cleary

392

:

community.

393

:

Now back to the show.

394

:

Speaker: So if you did not have

access to these tools, like if

395

:

you're doing this in we were in 2021,

396

:

Speaker 2: yep.

397

:

Speaker: would it have been

that you just wouldn't have

398

:

done the training to begin with?

399

:

Or you would've had the same amount of

time to do the training, but then you

400

:

would've gotten feeling way less confident

and prepared and probably not as great

401

:

of an outcome or another way to look at.

402

:

Would you actually have had an intern or

more access to resources back then where

403

:

they would've actually, you would've gone

back and forth with them to get it done?

404

:

Speaker 2: I think I would've

been less likely to commit

405

:

to the training number one.

406

:

Because

407

:

just even the process of coming

up with the words that you would

408

:

ordinarily used in 2019 or 2020, right?

409

:

Speaker: Yeah.

410

:

Speaker 2: It's an art, right?

411

:

And obviously the AI is

helping us with that art.

412

:

It's not a replacement, but it's a helper.

413

:

And if I had not had that, I would

not have been as able to become as

414

:

prepared as I was in the timeline

I needed to become as prepared in.

415

:

So the alternative would've

been two of them in my mind.

416

:

I did, either we didn't do

the training or we hired a

417

:

consultant to come in and do it.

418

:

And that has its own pluses and minuses.

419

:

Of course, both of them.

420

:

And we've gone down those roads before

we all of us have in HR, I'm sure.

421

:

But the fact that we can speak the

language of the business where we're

422

:

in, we don't have to, a consultant

doesn't have to get up to speed,

423

:

Speaker: Yeah.

424

:

Speaker 2: there's just a lot

that I think can make this quite

425

:

a story at the end of the day.

426

:

Speaker: Absolutely.

427

:

Thanks for going through that.

428

:

And then another kind of topic I wanted

to get your thoughts on was just enabling

429

:

the enterprise more broadly, right?

430

:

So with AI.

431

:

Have you guys gone like wall to wall?

432

:

Everyone, every employee has access

to some kind of LLM and go in.

433

:

And I'm just curious

like where you guys are.

434

:

You are in enabling the entire

organization and how that

435

:

process has been working.

436

:

Speaker 2: We are in

the midst, I would say.

437

:

So there are a couple of tools that are

currently out there and I think because

438

:

we've had some experience with them now,

over time, I think we will be like a lot

439

:

of organizations that I've heard from are

probably gonna be tailoring to probably

440

:

one or two choices for the general.

441

:

So for the wider employee population,

there could be scenarios where say

442

:

in finance or actuarial needs where

an even more powerful, more advanced

443

:

tool might be needed and that's great.

444

:

I think for the vast majority of

employees, we will be for example,

445

:

rolling out a policy that guides

the use, the responsible use of

446

:

AI technology and what kind of

technology we will want people to use.

447

:

Because I worry the companies

that haven't addressed that.

448

:

Speaker: Yeah,

449

:

Speaker 2: There's data

being leaked, right?

450

:

And they're either, they're not aware

or they don't wanna deal with it.

451

:

Or they think it's insignificant.

452

:

And I that's pretty important to me.

453

:

I think that as HR professionals, someone

could say, that's it securities issue.

454

:

That's the general counsel's issue.

455

:

I don't see it that way.

456

:

I think that this is a process where it's

gonna take all of us to help shape the

457

:

use of technology in our own environments.

458

:

And I think that's a

critical role for HR to play.

459

:

Speaker: Yeah, I agree.

460

:

And it should be once you align on that,

it should be a part of the training

461

:

for every new employee that comes in.

462

:

So you're maintaining that

standard once you created it and.

463

:

Who's gonna take that on, But Right.

464

:

But the HR team and to

ensure that it's ongoing.

465

:

You created this floor around of

understanding around like data use.

466

:

Like in fact, that's like the most basic

thing I feel like when I hear HR leaders

467

:

say like you have folks who are just

trying to look away and say, this is not.

468

:

For me, or maybe for other companies.

469

:

It doesn't matter in my industry.

470

:

But what are the chances that

some employee somewhere when the

471

:

organization isn't using, some sort

of AI tool for some part of their

472

:

process, it's like almost nil for

almost every company at this point.

473

:

And so at the very least, you

need to have something to address

474

:

how we are gonna allow it.

475

:

Even if what you're saying is, yeah,

we don't care about AI and we don't

476

:

want any adoption and don't use it.

477

:

Or you're not allowed to use it.

478

:

And if you do it, it's it's

of your own kind of volition.

479

:

But we will...

480

:

I dunno, we'll sue you if you

take company data off offline.

481

:

But you gotta address it in

some kind of format, right?

482

:

Speaker 2: Right.

483

:

I think that either of those

scenarios, I think are.

484

:

Not going to be the

winning scenario, right?

485

:

We're just gonna ignore it.

486

:

We're gonna pretend it's not happening.

487

:

that's just reckless.

488

:

Yeah.

489

:

And I think we're gonna forbid it.

490

:

I think is also not contemporary, right?

491

:

This tool is here.

492

:

It's impacting every port of your life.

493

:

You go onto Amazon, it's making AI

recommendations on that new pair of

494

:

shoes that it thinks you should get.

495

:

I think it really is about helping think

through what are the guardrails, right?

496

:

Because I, I believe in the

goodness of people, right?

497

:

And I'm sure that employee that

wanted to do an analysis of some

498

:

sales forecast or something.

499

:

More data.

500

:

Speaker: Yeah.

501

:

Yeah.

502

:

Speaker 2: They threw it into their

tool and it came back beautifully.

503

:

They got what they wanted, but that's now.

504

:

Speaker: Yeah.

505

:

Speaker 2: So I worry about that.

506

:

Yeah.

507

:

But organizations are

tackling it and we are too.

508

:

Speaker: Yeah.

509

:

Let's talk some more about

talent acquisition again.

510

:

One nuance is about like field roles

and manufacturing roles, right?

511

:

I know that that's like the sector.

512

:

Like a lot of your

portfolio leans towards.

513

:

Do you think the AI tools have

will have differing impacts in for

514

:

different types of industries, from a

recruiting efficacy kind of standpoint.

515

:

Or how do you think about it that

in your sector, without breaking

516

:

trust with candidates in the

recruiting process to leverage AI?

517

:

Speaker 2: I think that it will

vary, I think, based on sector.

518

:

I think that some sectors, I think

that some parts of work that are gonna

519

:

be either incredibly more manual, I

think there will be different kinds

520

:

of requirements that will continue

to be baked in that may not lean as

521

:

heavily towards these things, right?

522

:

But I think that as you move along in

your career, I think that even if you

523

:

started in a manufacturing role, right?

524

:

Like it's going to become more and

more of a reality as time goes on.

525

:

And even if today it's limited, perhaps.

526

:

I think in 12 months it's

gonna look different.

527

:

And in 12 more months it's

gonna look even more different.

528

:

I think keeping an eye to that

candidate experience and that employee

529

:

experience and adapting that a bit,

I think based on the environment you

530

:

operate in, I think is, appropriate

and I think would be more smart.

531

:

Yeah.

532

:

Speaker: At the top we were talking about

doing more with less or just having less.

533

:

In terms of resources, you

gotta like really clarify what

534

:

you can and cannot work on.

535

:

Or maybe you can do more or just as

much because of AI tools out there.

536

:

But the reality is there's some

prioritization, mechanics, I think

537

:

every CHRO's going through in the year.

538

:

As you're thinking on that evolved

at all or on how you would prioritize

539

:

just programming, just resources

like within the HR team for this era.

540

:

Speaker 2: I think...

541

:

Any golden rules or even spec or all

the way down to specific things that

542

:

you feel are just relevant for you.

543

:

I feel like it's conversations that I've

had with my team about how they use it.

544

:

What do they need to

use it more effectively?

545

:

The industry they're sitting in,

what do they see as the sort of next

546

:

use case in their function of HR?

547

:

And so I wanna be able to help,

and I think any CHRO would wanna

548

:

be able to help bridge that right.

549

:

And figure out, okay if even if I don't

know it which is entirely possible, right?

550

:

Let's go find it.

551

:

Let's go find the person that can

help us better understand this.

552

:

I think it all does, we're working

smart, we're focusing on the

553

:

right value added activities.

554

:

And if it's a new module of an

existing AI tool that we need to

555

:

consider or a bolt on to one of

our other pieces of HR technology.

556

:

I think we have to be

open-minded to what people need.

557

:

And I think it will be different based

on not only their role within HR, but I

558

:

think also their acumen with the tools.

559

:

Speaker: So now we're getting into

a little bit into this already.

560

:

HR re-skilling or skilling and re-skilling

within the HR function and across all

561

:

of the disciplines like within it.

562

:

Love to get your thoughts.

563

:

is, What's gonna be a really ascendant,

like what kind of skill sets are

564

:

gonna be really important for a

great future proof HR department?

565

:

Speaker 2: I think it's

going to be critically around

566

:

these kinds of conversations.

567

:

Being someone who continues to lean in.

568

:

I think that it would be easy

for some people to think this

569

:

tool is gonna take my job.

570

:

I heard this at a recent event

that you're not gonna be replaced

571

:

by AI, you're gonna be replaced by

someone who knows how to use AI.

572

:

Yeah.

573

:

I feel like helping to ensure that

574

:

you remain literate.

575

:

you think across the HR profession, there

are a lot of things that we do, like a

576

:

lot of fields that to stay current, right?

577

:

Understanding what's changing in the

regulatory climate, what's changing

578

:

at the local level, et cetera.

579

:

I think this is another one

of those things that will

580

:

be essential to stay fresh.

581

:

Because what we use it for

today, we're gonna use it for

582

:

something different tomorrow.

583

:

And if you aren't ready to adopt

that, then that could be a challenge.

584

:

And I think it's not being afraid, I

think it's really embracing the tools.

585

:

Speaker: It's interesting you say

that 'cause you're giving it the same

586

:

level as knowing the business or like

knowing like your local situation,

587

:

knowing the regulatory environment.

588

:

I feel like 10, 20 years ago when we

went from, I dunno, paper to HRIS, right?

589

:

Or like on premise or

like cloud-based software.

590

:

I don't think from an HR team

perspective you would put, hey, you

591

:

really need to know how to do word

processing versus writing it like.

592

:

I don't think you'd put it at that same

kind of tier in terms of like importance.

593

:

But do you think this is like distinct

in that it's like as much if you're

594

:

gonna be an HR professional in the

future like being AI literate is like

595

:

on that level with these other things.

596

:

As opposed to previous what we might

previously say about technology.

597

:

'Cause one way to look at this is, hey,

it's the latest wave of technology.

598

:

It's been shifting since

the industrial revolution.

599

:

Sure.

600

:

And it's just, you always gotta learn

the new tool and get with the times.

601

:

Speaker 2: No, I think

that's exactly right.

602

:

As I think about the entire AI

conversation, I think it used

603

:

to be the shiny new thing.

604

:

not that many years ago,

it was the shiny new thing.

605

:

Yeah.

606

:

Now, I think it's becoming imperative

and I think that those folks that

607

:

let themselves fall behind, I think

will not be as successful long term.

608

:

Speaker: So then we've made a

couple of things that, arguably

609

:

a couple of assertions that

arguably is like doom and gloom.

610

:

CHROs aren't gonna be like

expanding HR headcount anytime soon.

611

:

Maybe the market is such that

everyone needs to do more with less.

612

:

CHRO is able to provide like more

value themselves by using tools to do

613

:

a training that they otherwise wouldn't

have been able to do in the past.

614

:

Which is all great.

615

:

But If you are a college graduate or

about to come out and are crazy enough

616

:

to want to get into the function, right?

617

:

New and upcoming.

618

:

What thoughts would you have for them?

619

:

If a diverse at all from this do and

gloom summary I try to put in place?

620

:

Speaker 2: I think that it

is ripe with opportunity.

621

:

I think that there are so many ways, I

think, to embrace this technology, and

622

:

yes, it's making our workplaces different.

623

:

Sure.

624

:

But that's okay.

625

:

At the end of the day, I really

believe there's always gonna

626

:

be a place for good people.

627

:

If you're coming out of school or

you're coming new into the profession,

628

:

I think you get as experienced

as you can, as quickly as you can

629

:

and do it with the right things

that where the risk is low, right?

630

:

As you continue to build your skill

up and some of this stuff it's like

631

:

the high diving board too, right?

632

:

For me, I think that some of this

stuff is you just jump in, right?

633

:

And I think you have a

lifeguard that's great.

634

:

And you go right?

635

:

And I think that's what I would

say to someone who's coming in

636

:

that is not to be afraid of the

impact of some of these things.

637

:

The whole work construct I

think will continue to evolve.

638

:

And I think this is here to stay.

639

:

Speaker: You're really painting

a picture for me, Adam.

640

:

Talking about the high

diving board followed shortly

641

:

after talking about impact.

642

:

And I'd prefer to start

with the low diving board.

643

:

Even with the life

lifeguard in place there.

644

:

And I would pause it.

645

:

That's what college and side projects.

646

:

There's so many ways to get those reps

in if you're willing to like just go off

647

:

and learn and try things on your own.

648

:

Whether you're getting into the

workplace for the first time or you

649

:

already are at a place and have a role.

650

:

Right?

651

:

You could probably ask yourself literally

anything that I find myself doing.

652

:

Can I make this more efficient?

653

:

But If that's the case for like new

grads, one other perspective I would

654

:

love your thoughts on while I have you

is what about from a CHRO's perspective?

655

:

It's a very different vantage point.

656

:

There's sub-functions that are like

rolling and there's all these processes.

657

:

Not to mention you're thinking about

the executive team and the board and

658

:

enablement of the entire organization, but

personally as a CHRO or like when you go

659

:

to these other like SHRM meetings, like

what are the things that you can advice

660

:

you would have or at least things that

you do personally to feel like you're

661

:

adapting and moving with the current and

feel like you have a handle on things.

662

:

Yeah.

663

:

Like how do you actually do that?

664

:

What would you say you do

tactically, day to day, week to

665

:

week, along with everything else

to feel like you're with it?

666

:

Speaker 2: I keep trying.

667

:

I think that's so important, right?

668

:

I think that it would be easy for

someone to say, as you just did.

669

:

That okay, from where I sit,

I don't need to know as much

670

:

about the blah, blah, blah.

671

:

And I think that's when a leader of

any function, HR, finance, whatever

672

:

starts to lose a little bit of touch.

673

:

And I think that I wanna stay

relevant just as much as I

674

:

want my team to stay relevant.

675

:

And so I think you make a great

point that it's how I've become in a

676

:

fairly short order, I think, become

so comfortable with having it open

677

:

and just using it throughout the

day just for little things, right?

678

:

And larger things alike, right?

679

:

And so I think it's challenging

ourselves as much as we challenge

680

:

our departments to adapt.

681

:

and the business as a

whole, and that's our job.

682

:

Speaker: I love that.

683

:

So look at the man in the mirror

and then just keep trying.

684

:

I love that message because it

is easy to say there's a lot

685

:

of other things to do, right?

686

:

And maybe this is like someone else's job.

687

:

But then if you are trying every day that

it tends to show up right to your team,

688

:

to those around you, all stakeholders

and the message for the change that

689

:

you're looking for in the organization.

690

:

If it's embodied in what you're

doing personally, that's just

691

:

absolutely accelerates things.

692

:

So thank you for this conversation.

693

:

That's might be about

all the time we have.

694

:

But it was really fascinating to go talk

about the current environment that we

695

:

are in as a CHRO and what you're seeing

from a talent acquisition process.

696

:

The promise and the perils.

697

:

But ultimately you gotta try.

698

:

Gotta keep going, gotta try.

699

:

And there will be roles and there

will be jobs for good people, right?

700

:

Just have the right mindset.

701

:

I think that's a great

optimistic note to end on.

702

:

So thank you so much for

this conversation, Adam.

703

:

It's been fascinating and for everyone

out there who's following along

704

:

looking ways to future proof their own

organizations, their own HR functions.

705

:

I think you may have found a couple of

nuggets of insight and maybe a little

706

:

push to go off and do a thing or two.

707

:

And so thank you again, Adam

for this and signing off.

708

:

See you guys on the next one.

709

:

Bye Adam.

710

:

Speaker 2: Thanks.

711

:

Thanks for joining us on this

episode of Future Proof HR.

712

:

If you like the discussion, make

sure you leave us a five star

713

:

review on the platform you're

listening to or watching us on.

714

:

Or share this with a friend or colleague

who may find value in the message.

715

:

See you next time as we keep our pulse on

how we can all thrive in the age on AI.

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