Episode 77

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Published on:

11th Sep 2025

77. How does AI change the approach to professional development?

In this episode we discuss: How does AI change the approach to professional development?  We are joined by Anna Tavis, Clinical Professor and Chair of the Human Capital Management Department at NYU’s School of Professional Studies. 

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We chat about the following with Anna Tavis: 

  • If career growth is no longer about climbing the ladder, how should we redefine success in professional development?
  • Are our current learning systems truly preparing people for real work, or are they just ticking boxes outside the flow of everyday tasks?
  • Could AI-powered coaching finally make professional development as personalised and responsive as a sports coach with their athletes?
  • What happens to the manager’s role when AI takes over much of the supervision—does it free them to become genuine mentors?
  • How do we ensure AI-driven development tools enhance equity and well-being, rather than deepen existing gaps?

References 

  • linkedin.com/in/annatavis
  • https://www.sps.nyu.edu/homepage/academics/divisions-and-departments/division-of-programs-in-business/human-capital-management/coaching-and-technology-summit.html
  • https://www.amazon.com/Humans-Work-Practice-Creating-Workplace/dp/1398604232
  • https://www.amazon.com/Digital-Coaching-Revolution-Employee-Development/dp/1398612510

Biography 

Dr. Anna Tavis is Clinical Professor and Chair of the Human Capital Management Department at NYU’s School of Professional Studies. Recognised on the Thinkers50 Radar (2020) and among the Top 100 Global Influencers in People Analytics (2023, 2024), she co-authored Humans at Work (2022) and The Digital Coaching Revolution (2024).

Her global career spans business, consulting, and academia, including senior roles at Motorola, Nokia, United Technologies, and AIG Investments, as well as faculty positions at Columbia University, Williams College, and Fairfield University.

Her Harvard Business Review articles, “HR Goes Agile” and “The Performance Management Revolution,” co-authored with Dr. Peter Cappelli, have been featured in HBR’s Must Reads, Definitive Management Ideas of the Year, and Agile: The Insights You Need.

To learn more about Beth and Brandon or to find out about sponsorship opportunities click here

Summary

00:13:29 – Defining professional development

00:15:21 – Why traditional tools fall short

00:18:30 – AI-driven coaching in action

00:25:04 – Rethinking career growth

00:30:24 – Responsible AI rollout 



This podcast uses the following third-party services for analysis:

Podcorn - https://podcorn.com/privacy
Transcript
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Hello and welcome to another episode

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of the operations room a podcast for

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COOs. I am Brandon And then sing a,

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I am joined by Effy D'Air.

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That's like the first time you've

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ever messed up on that one.

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Apparently, I've lost it.

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How is life?

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So I listened to a different

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podcast. I know heresy, but you

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know, I listened to a

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sex and relationships podcast

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called.

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Savage Love by Dan Savage.

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I've ever mentioned him before.

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You have used to be the columnist

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for the Vancouver Sun the newspaper

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back in Vancouver

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Well, he actually was the columnist

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for the

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Seattle stranger.

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And then it was syndicated

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in all kinds of other places, so it

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must have been in yours.

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It was in the Albuquerque alibi, but

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I discovered originally the village

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voice. And so I've been a damn

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savage fan for years now as a

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podcast. And I listen.

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Nearly weekly.

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And he always has the same

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segments, and he always says the

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same thing.

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And when you say the same things,

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I'm like, oh, our listener's gonna

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find this weird or boring or

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whatever, but they're somehow like.

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Quite soothing.

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To hear it the same way every time.

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And then every so often he'll drop a

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word.

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He hasn't said it properly, rather

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than, oh, look, it's different.

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Puts our listeners into the groove

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from the outset.

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From the outset and then also the

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ending and the rap, you know, that I

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think people actually like to hear

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people being me and therefore I'm

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extrapolating more than just me.

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Like to hear the same thing multiple

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times. And also every saw

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a film when he...

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Doesn't say the exact same words.

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I go, oh, it isn't pre-recorded,

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because sometimes it's exactly the

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same. So anyhow, I'm going on

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holiday very soon.

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Nine working days away.

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Oh, I didn't know this.

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Really, fabulous. Where are you

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going?

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I'm good to help her.

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Sing family, sing friends.

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Recharging, seeing the sun, seeing

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some nice sunsets, I miss sunset so

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much. I miss sunsets in the sky.

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The desert and it's also very high

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and like I just feel like I can

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breathe. Have you been to

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Albuquerque?

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No, no, I haven't.

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Why would I go to Albuquerque?

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For a Breaking Bad tour?

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Does that, do they have a Breaking

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Bad Tour?

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They used to, I don't know if they

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still do, but Albuquerque definitely

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cashed in on Breaking Bad.

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It was filmed there, so.

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You can go to all of the places.

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The city itself is not beautiful.

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It's like.

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A very spread out.

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Southwestern or western city.

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Like all of them, loads of strip

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malls.

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Loads of individual houses.

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Have to drive, not a lot of charm,

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but they're pockets that are quite

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nice. And there's like a

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arts community, a lot a

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creativity.

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It's a real mixing

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pot of, I think New Mexico

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has highest per capita

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number of PhDs.

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In America.

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Well, because we have a lot of

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national labs, we have a lot PhDs

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working on.

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Ways to kill people efficiently.

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Not anymore with all the layoffs,

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but yeah, that makes sense.

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Well, this is true, but prior to

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that. It's the home of

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the nuclear programs for.

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America.

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Los Alamos.

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Sandhya national lab.

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So we have that combined with

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like a massive rich poor gap.

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And the smartest thrown in.

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Kind of like East London.

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Okay, all right.

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So the rich and poor divide, a lot

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of academics, and

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a dash of sprinkling of creativity

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artists, artisans.

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And then also like weird

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spirituality.

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This is like for me, an epitome of

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New Mexico.

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We tend to fly into Denver,

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and that's what we're doing this time,

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and then drive to Albuquerque.

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It's just a lot cheaper, but then we

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do some skiing on the way back, hang

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out in Denver a bit, see some

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friends. And so we were driving

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down and.

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Just outside of Santa Fe, there's

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another town called Las Vegas,

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New Mexico.

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Which is obviously not as famous

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as its sister.

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Las Vegas, Nevada.

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And we ended up eating there in

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this little Mexican restaurant,

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all run by.

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60 and 70 year olds.

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Hispanic women.

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Like, proper TIAs.

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I went to the bathroom, came out.

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And there were like beads

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everywhere. This woman's trying to

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pick them all up and they were.

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Beads from her bracelet that

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somebody from South Africa had given

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her. To bring good luck and

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fix.

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Pains and ailments.

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Because this is New Mexico.

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So you have like.

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A little bit of South Africa thrown

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in with some magic beads.

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In a place where everybody's pretty

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much speaking Spanish while cooking.

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The only Mexican food.

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It's just a different place.

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You know how every state in America

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is its own?

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Country. And it's a really relaxed.

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Kind of mystic vibe with.

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A lot of natural beauty.

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So I'm looking forward to going

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home, recharging spiritually.

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I might pick up some.

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Beads.

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I'm going on vacation too, as well,

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in the summer time, which is not

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anytime soon.

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I've actually assigned my wife the

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task of trying to find us where we

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should be going. So she is going to

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come back to me with her

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recommendations on the Mensinga.

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Summertime vacation so we'll see

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what I'll give you an update when I

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when I know

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You don't have any.

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A country yet.

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So the Turkey thing last year worked

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out well. It was kind of a tier

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three pricing for a tier one

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experience, I would say.

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So it's a.

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All-inclusive family.

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Beach.

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Pools, water slides, all these kind

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of requirements for the kids, the

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kids club and all that jazz.

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So I suspect we'll be doing

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something similar to that.

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With young children, I never wanted

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to do an all-inclusive.

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I didn't understand the point of it.

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I was a bit snobby about it.

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Then I did an all inclusive with

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young kids and I was like, this is

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amazing.

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And also, you could just properly

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relax, because...

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Of the buffet.

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The kids can look at the food,

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choose the three grapes they're

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willing to eat, and you just don't

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have to deal with either trying to

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cook stuff or the...

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Hassle of a restaurant where they

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just don't want to eat anything.

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I don't know. That's my children.

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My children were unbelievably picky

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and it was really stressful.

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So we've got an amazing topic for

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today, which is how does AI change

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the approach to professional

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development? And we have a wonderful

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guest for this which is Anna Thomas.

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She is the department chair at NYU.

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Where she oversees the HR program

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and is the co-author of Humans at

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Work. So before we get to and

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i wanted to ask you a couple

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questions first one is she

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defined professional development

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broadly as an ongoing commitment to

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our own skills and well being.

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To maintain career relevancy.

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Do you like that definition?

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I do. I like it better than, well,

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you know what I feel like about

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PDPs.

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Frameworks. So, you know, I hate a

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framework, I hate a PDP.

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So. Taking your

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relevancy into your own hands and

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your personal responsibility to

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figure out how you stay relevant

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sounds great to me.

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And then just briefly, if you can

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just package this up, why do we

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collectively hate PDPs,

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LMSs, training courses as

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a whole? What's the issue?

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So I hate PDPs because

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they generally are too many things

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that people are trying to do at

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once.

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Over too long a period.

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And like stupid smart objectives

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and you spend all this time writing

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it and like what resources do I need

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and in theory it should be good and

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help you think.

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But it just ends up becoming.

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Tedious.

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Overly complicated and then you put

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it in a drawer and never look at it

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again. So that's why I hate PDPs.

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LMS is.

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I rarely take a course

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ever.

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That I learned something from.

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And I have Almost.

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No respect for any teachers

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of any courses.

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I mean, I have to say this is like

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and training courses and stuff.

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And it's very hard to find somebody

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who's good and it's really hard to

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learn something from that.

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And then in LMS, you just stick it

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on a video and it becomes even more

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pointless.

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And more of a box-taking exercise.

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I have to say, though...

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I am taking, as you know,

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one course that has changed my life

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with an amazing teacher, and that's

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my writing class.

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But it's not about like how to write

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good emails.

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So my experience with LMSs in

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particular is that they get zero

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usage, zero adoption, or very

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little. At the end of the day, it

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has to be applied in some form,

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whether it's like your writing

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course or my acting classes that I

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talked about before, where you're

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not just getting instruction, you're

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getting out there to actually do it

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and getting critiqued on your doing.

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Thank you.

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I think that's where the rubber hits

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the road in terms of actual

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usefulness for those types

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of things.

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One thing that Anna had talked about

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was the future being

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these personalized AI coaches

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to mentor you in the flow of work.

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And get those nudges in real time

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as you're actually doing what you're

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doing. What do you think of that?

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I think it sounds scary and then

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also I'm not sure we

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all need nudges.

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I don't think I'd want to use AI as

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a thing that nudges me in a certain

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direction. I can see how that's

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helpful.

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With your sales team,

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if you're looking for some sort of

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compliance around doing the selling

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in the right way, but people don't

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really like to be nudged all the

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time. You know, you want to do a

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bit of learning and then have some

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agency and ability to do it

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yourself. I think it'll be more

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helpful when you go to.

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Or when you're monitoring

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a bunch of AIs, they're doing things

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for you.

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And then also I watched this video

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the other day.

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About Critical

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thinking?

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That when you use AI,

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your ability to think critically

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plummets.

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And that sounds.

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A bit scary.

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But then I was also thinking, is it

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scary or is it just that we don't

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like change and schools want

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to teach children the way the

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Victorians thought children should

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be taught and we feel like any

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diversion from that.

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Is bad and inherently awful,

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but really...

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Times change, humans'

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ability to use technology.

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Means that how we're hardwired

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in our bodies is nothing compared to

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what our brains are capable of.

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Is it okay that we lose the ability

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to critically think as long as we

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have the ability to have machines

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critically think for us?

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I suppose there's always a critical

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thinking that has to happen.

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You're just critically thinking

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about other issues than what's being

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provided to you from ChanGBT or

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whatever.

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Yeah, but I guess we do

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need to have an ability to recognize

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bullshit.

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And hallucinations and maybe

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it will just stop.

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Or will become really, really good

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at it because it matters a lot.

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I'm sure to your point, the

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orchestration of the AI agents to do

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useful things will become a skill

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unto itself, I suspect.

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She talked about this example

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of this company called Valance, and

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Valance is an AI coach.

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And it's specifically tailored to

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allowing you as an individual to

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vent to it.

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It's something that holds you

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AI-wise as being accountable.

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And helps you reflect on your

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performance, your ways of working,

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it assists you in role-playing

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scenarios, and assists you at

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working with others or managing

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others in this case.

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And this whole kind of AI

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coach space.

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What do you make of that? Because on

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the one side of it, I can see this

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having massive value in the sense

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that traditional coaching,

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business coaches like Matthew Stone.

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Very good, but very expensive and

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not scalable across the

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organization. So if you really want

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to have an AI coach.

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There for every single person in the

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company that legitimately, to your

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point, when you need help and you

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want help, you're using it to get

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help. What do you make of that?

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I think I'm just old.

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I'm old and a Luddite.

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There's a part of me that's like,

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yeah, I can see the value of that.

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And then there's a part of like.

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But where's the human connection

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and.

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How much of coaching?

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How much of the value of coaching is

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the insights that you get?

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And how much of the value of

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coaching is the connection you make

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with another human.

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Who then like helps you have real

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insights.

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And there's like.

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AI therapists.

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Kind of going back to the.

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Dan Savage chat in the beginning

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there.

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A.I.

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Girlfriends that lonely men can

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have. Or lonely people, but I think

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it tends to be men and it's like.

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It's amazing that people can

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bond with.

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Machines, knowing that they're

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machines, but are so desperate for

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connection.

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That they're able to form a

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bond with them angrily.

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Just kind of have the plausible

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deniability.

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And so.

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For how should I write this email

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or...

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Help me practice what I

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should say for a difficult

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conversation really quickly.

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There's a benefit to it.

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But if nobody talks to

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humans and all of our time

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is spent. With machines.

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I think we're just gonna have a lot

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more incels and we're gonna have a

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lot of more radicalized.

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Men in their mother's basements,

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and already young people aren't

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having sex anymore.

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I know that we're not talking about

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sex, but clearly it's on my mind

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today, somehow all of this

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technology stuff.

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Yes, use it.

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Tactically, but still

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also.

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Talk to other humans.

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Who are actual people.

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And not machines.

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You know, as Charlie Cowan had

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talked about, if you're line

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managing somebody and all

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their PDP information, their

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performance reviews, your

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one-to-ones, whatever they have

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around the individual.

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They're all sitting there as a

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project and you're basically using

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that as a tool to help yourself

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think through how best to help

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that person in terms of management

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of that individual for career

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development, for whatever purposes

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that you have, that seems like a

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very useful tactical thing to have

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by your side.

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As a bit of a co-pilot too to help

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you do those one-to-ones better and

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also being able to do

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that in a way where...

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You're not having to spend hundreds

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of pounds on coaches, but you have a

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tool by which you can help yourself

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be better as line manager.

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Yes, but I think you should still

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make sure you talk to people.

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And not just talk, like make

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connections with people.

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So why don't we wrap up and move

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on to our conversation with Anna

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Tevis.

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You know, professional development

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itself is changing as we speak

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because...

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Professional development used to be

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about climbing the corporate

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ladder.

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The mailroom to, you know,

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executive suite.

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And our professional development is

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a. Kind of a hygiene.

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Necessity for pretty much any

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professional.

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Because of the changing environment,

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changing technologies.

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Changing roles and

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you know, instability basically in

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the job market, a lot of volatility

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there.

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So professional development is

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an ongoing commitment that

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every professional should make to.

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Their own skills,

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to their own even well-being

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and mental health, to how to

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manage.

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This level of change

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all around us.

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So professional development is a

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must do.

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For anyone who is

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in the workplace.

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Professional development, if

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you want to make it short

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and easy to understand is

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your portfolio of skills.

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That are marketable and

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have a real application

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in the workplace.

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It is about your social network.

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Professional network.

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That needs to be constantly updated

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as people move around, etc.

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And it is really your ability

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to, you know, take in.

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And understand and analyze

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the context.

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Of the day.

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Situation, work environment you are

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in. So it's kind of

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from basic skills.

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What do I do?

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So who do I know?

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And what it all means.

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Those three components are

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in your portfolio for professional.

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So it's not about having to take a

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bunch of courses, because whenever I

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think about professional development,

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that's what I think.

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Not at all. In fact, we are moving

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far away from traditional

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credentialing.

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And uh... The courses courses just

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absolutely one of the ways in

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which you enhance your

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skills, build your network.

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Understand the market.

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SITUATION BOT

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There are so many other.

Speaker:

Ways in which that professional

Speaker:

development could be achieved by

Speaker:

individuals today because to new

Speaker:

technologies that.

Speaker:

It's just a small sliver

Speaker:

of what you need to understand

Speaker:

about.

Speaker:

Taking care of your professional

Speaker:

life.

Speaker:

My feeling around professional

Speaker:

development or instantly I think

Speaker:

about learning management systems or

Speaker:

LMSs and how useless they've been in

Speaker:

organizations for the most part in

Speaker:

scale-ups. So can you maybe just

Speaker:

quickly comment on the LMS thing

Speaker:

and then I guess maybe more

Speaker:

interesting for the audience I think

Speaker:

is where you're coming from Anna

Speaker:

just in terms of your...

Speaker:

Thesis on AI

Speaker:

and its impact on professional

Speaker:

development and what that looks like

Speaker:

going forward.

Speaker:

So I think the LMS is

Speaker:

the kind of early 21st

Speaker:

century way of organizing

Speaker:

information.

Speaker:

And it's still about an

Speaker:

individual sitting passively sitting

Speaker:

in front of.

Speaker:

Whatever needs to be developed.

Speaker:

Delivered the information where

Speaker:

the learner...

Speaker:

It's not a learner-centric,

Speaker:

it's a learner focused environment,

Speaker:

a little bit more targeted.

Speaker:

However, The learner is still

Speaker:

kind of a passive actor in

Speaker:

that. LMS in the situation.

Speaker:

Where we are at right now

Speaker:

with the technologies available to

Speaker:

us, and I write and speak

Speaker:

about it.

Speaker:

A personalized A.I.

Speaker:

Coaching.

Speaker:

Training, mentoring.

Speaker:

That is built in the flow

Speaker:

of work.

Speaker:

So you work or you do something,

Speaker:

you get feedback, you get

Speaker:

just-in-time data.

Speaker:

If there is a gap in your

Speaker:

understanding of how to do certain

Speaker:

things, there's an immediate

Speaker:

feedback, et cetera.

Speaker:

So it's very personalized.

Speaker:

You are not stopping to

Speaker:

do this professional development on

Speaker:

the side. You are actually.

Speaker:

Continuing to do your work,

Speaker:

your tasks, and learning

Speaker:

happens right there.

Speaker:

So we have that capability right

Speaker:

now with AI, and I think that

Speaker:

that's really the future of

Speaker:

learning. Overall not just

Speaker:

professional development because

Speaker:

those tools are beginning to

Speaker:

be. Introduced in

Speaker:

schools, at the universities.

Speaker:

We're still far from

Speaker:

the scaled implementation of

Speaker:

those tools.

Speaker:

But the experiments are on

Speaker:

the way.

Speaker:

Case studies are already beginning

Speaker:

to. Get published.

Speaker:

And really learning fast

Speaker:

about creating immersive

Speaker:

learning environments.

Speaker:

And as I mentioned.

Speaker:

In the flow of work rather than

Speaker:

away from work.

Speaker:

I guess when you were first

Speaker:

answering the question of...

Speaker:

Personal development or professional

Speaker:

development. I was thinking about it

Speaker:

as... Me developing

Speaker:

myself.

Speaker:

But actually, your answer is also

Speaker:

about... Training staff

Speaker:

or developing your teams.

Speaker:

And so as a COO, who's looking

Speaker:

at how to be much more effective

Speaker:

for my team.

Speaker:

Training and development, what would

Speaker:

you recommend?

Speaker:

To use the.

Speaker:

These personalized learning

Speaker:

tools, the coaches, and...

Speaker:

Even chat GPT could be

Speaker:

trained to be specifically

Speaker:

focused on

Speaker:

supporting, let's say, your team.

Speaker:

And accomplishing certain goals.

Speaker:

As a manager.

Speaker:

What these tools allow you to do

Speaker:

is to definitely have

Speaker:

frequent interactions with your

Speaker:

team. However, the team members are

Speaker:

already in between those sessions,

Speaker:

in between those interactions with

Speaker:

the manager.

Speaker:

Have the opportunity to get

Speaker:

that tutoring and feedback on

Speaker:

their own.

Speaker:

Because of the data on their

Speaker:

performance.

Speaker:

Delivered just in time.

Speaker:

If you take the performance

Speaker:

management process as it was

Speaker:

traditionally down in companies.

Speaker:

It was done at the end of the.

Speaker:

Year usually when a

Speaker:

manager got together with their

Speaker:

teams and and have had the

Speaker:

conversation.

Speaker:

There was a recency bias.

Speaker:

There were all sorts of.

Speaker:

Gaps in the data collection,

Speaker:

etc.

Speaker:

Now we can...

Speaker:

Fast forward to AI and

Speaker:

find that.

Speaker:

Those interactions could be

Speaker:

happening. On a daily basis.

Speaker:

There are systems that are...

Speaker:

Set up and you can help train

Speaker:

your system as needed for your

Speaker:

specific workplace.

Speaker:

That will provide nudges to

Speaker:

your team. So you as a manager

Speaker:

do not.

Speaker:

The traditional name for

Speaker:

or historical name for

Speaker:

a manager was a supervisor, right?

Speaker:

So the supervisor is no longer

Speaker:

looking over your shoulder because

Speaker:

you are getting from the system's

Speaker:

objective multimodal.

Speaker:

Communication around.

Speaker:

How you're performing.

Speaker:

And the manager can make

Speaker:

adjustments, have a different

Speaker:

level of conversation around

Speaker:

strategy.

Speaker:

How to best apply.

Speaker:

We have skills, et cetera, but.

Speaker:

The very basic.

Speaker:

Y'know. Feedback that needs

Speaker:

to happen for people to develop

Speaker:

their skills happens.

Speaker:

Pretty much automatically in those

Speaker:

organizations, especially now

Speaker:

as we see companies coming

Speaker:

in like these AI coaching companies,

Speaker:

some of them I work with them.

Speaker:

They're actually trained

Speaker:

on the company's

Speaker:

specific business.

Speaker:

On the company's

Speaker:

specific policies.

Speaker:

Other types of information that are

Speaker:

behind the firewall

Speaker:

that our lamps are

Speaker:

developed for the purposes of

Speaker:

that particular organization and

Speaker:

that particular business.

Speaker:

So there's a lot of targeting that

Speaker:

happens.

Speaker:

And then the role of manager becomes

Speaker:

more of a mentor and facilitator

Speaker:

rather than a supervisor in

Speaker:

the traditional sense.

Speaker:

And also we're really always

Speaker:

for.

Speaker:

Lots of practical advice on this

Speaker:

podcast and you're working with some

Speaker:

of these.

Speaker:

Providers do.

Speaker:

Recommend any, like who

Speaker:

should COOs look at?

Speaker:

Yeah, I mean, I will just name a

Speaker:

few in fact.

Speaker:

At NYU in New York,

Speaker:

I hold a coaching and technology

Speaker:

summit. Which is a

Speaker:

conference where we bring and

Speaker:

these companies that specialize in.

Speaker:

Coaching, educational.

Speaker:

AI support, et cetera.

Speaker:

So the top of line companies

Speaker:

range from the platforms that

Speaker:

Connect coaches and

Speaker:

That was the first step, coaches

Speaker:

with the employees, but

Speaker:

now they're all moving to purely AI.

Speaker:

My top of mind is Valence

Speaker:

is a company that pure

Speaker:

AI, they bring it into companies

Speaker:

and big companies,

Speaker:

diversified companies like Delta

Speaker:

Airlines.

Speaker:

Coca-Cola.

Speaker:

Nestle and others are

Speaker:

already bringing these tools

Speaker:

in to make them available

Speaker:

to.

Speaker:

The employees at all levels,

Speaker:

the beauty of these tools.

Speaker:

Obviously is that they are

Speaker:

cost-effective.

Speaker:

They're specialized in the

Speaker:

against policies and

Speaker:

specifics of that particular company

Speaker:

and that particular business, they

Speaker:

have the capability of looking at

Speaker:

data across multiple disciplines

Speaker:

and multiple departments.

Speaker:

And bring those data to

Speaker:

individuals in a very targeted way.

Speaker:

They're available.

Speaker:

24-7.

Speaker:

They are in multiple languages.

Speaker:

Et cetera, and my favorite case

Speaker:

study is what, for example,

Speaker:

Delta allies has done.

Speaker:

Where it was a very serious

Speaker:

sort of operational issue.

Speaker:

If you recall, there was a moment at

Speaker:

time when...

Speaker:

There was a computer crowd

Speaker:

strike to their system and then all

Speaker:

of the systems went down.

Speaker:

Basically grounding on the

Speaker:

airline for a whole number

Speaker:

of hours.

Speaker:

And so that was the

Speaker:

trigger for the company to think

Speaker:

what if we had AI

Speaker:

level support.

Speaker:

So these particular, and sort of

Speaker:

instead of sending emails,

Speaker:

communicating with a distributed

Speaker:

network of people.

Speaker:

Working at different airports, et

Speaker:

cetera, in different locations.

Speaker:

You can imagine that everyone on

Speaker:

their handheld devices have

Speaker:

access to these coaches that could

Speaker:

be.

Speaker:

Just in time trained on what

Speaker:

the company recommends, what kind of

Speaker:

recommendations centrally.

Speaker:

And provide the coaching support

Speaker:

to people on the ground at different

Speaker:

gates at different time

Speaker:

zones, etc.

Speaker:

So I think that that's kind of the

Speaker:

vision of...

Speaker:

You know, how these particular tools

Speaker:

are going to be used.

Speaker:

So. Than all just

Speaker:

for professional development.

Speaker:

But also for problem solving.

Speaker:

But also after the

Speaker:

fact, they could be a great

Speaker:

tool for self-reflection.

Speaker:

Thinking about what kinds of

Speaker:

skills were required.

Speaker:

For us to You know, really.

Speaker:

Get this right!

Speaker:

So I think Delta is now embracing

Speaker:

these tools and is beginning to

Speaker:

fine tune them, but really allowing.

Speaker:

All of the employees at all levels

Speaker:

access to.

Speaker:

The AI coaching tools.

Speaker:

It kind of seems like we're now

Speaker:

seeing...

Speaker:

Really a blending of everything now

Speaker:

together, which is it is all

Speaker:

about high performance and under the

Speaker:

banner of high performance.

Speaker:

We have all sorts of things we have

Speaker:

kind of classic training of skills,

Speaker:

soft skills in terms of how to work

Speaker:

with others and collaborate.

Speaker:

You've got the mental health part

Speaker:

of what that looks like.

Speaker:

How does that all play out, I guess,

Speaker:

just in terms of all the different

Speaker:

pots that we're talking about,

Speaker:

because if we go back to the start

Speaker:

of this podcast, we talked about

Speaker:

LMSs, and LMS did one specific

Speaker:

thing. Mental health as it's

Speaker:

classically been geared for scale up

Speaker:

does one specific thing so this

Speaker:

kind of blending together is really

Speaker:

now we're talking about all of that

Speaker:

high performance battery so i

Speaker:

imagine it my head.

Speaker:

So I'm just wondering where does

Speaker:

that end and where does a generic

Speaker:

tool like Chat GPT pick up then to

Speaker:

be honest, because it's hard to see

Speaker:

the dividing line anymore between a

Speaker:

generalist tool as opposed to a

Speaker:

specific tool based on company

Speaker:

information.

Speaker:

You're absolutely right.

Speaker:

I personally think that the future

Speaker:

of performance is going to

Speaker:

be in this ability to

Speaker:

integrate so many different inputs

Speaker:

and data.

Speaker:

On the humans and the humans are

Speaker:

going to be working in hybrid teams

Speaker:

and The next generation hybrid

Speaker:

is not whether you work from home or

Speaker:

in the office. It's going to be how

Speaker:

many thoughts you have on

Speaker:

your team and what kind of their

Speaker:

functions are going to be.

Speaker:

So I think these are all very

Speaker:

different skill sets that will

Speaker:

need to be acquired going forward.

Speaker:

But the one thing that I

Speaker:

see as the next step right now...

Speaker:

There are these specialties that way

Speaker:

the companies are.

Speaker:

As I mentioned, like valence with

Speaker:

their lead with AI developmental.

Speaker:

LLM called Nadia is

Speaker:

the name of the coach.

Speaker:

But the integration of like

Speaker:

wellbeing data, almost like

Speaker:

what I compare it to professional

Speaker:

athletes.

Speaker:

When we look at professional

Speaker:

athletes and look at their

Speaker:

performance.

Speaker:

You know, we do not separate out

Speaker:

the state of their health from

Speaker:

how they perform.

Speaker:

Which we still do for humans

Speaker:

in the workplace, right?

Speaker:

We kind of up until recently

Speaker:

probably called it was a great

Speaker:

accelerator.

Speaker:

For us to start looking into

Speaker:

the wellbeing part of

Speaker:

performance as an integral

Speaker:

part of.

Speaker:

Effective.

Speaker:

And productive.

Speaker:

Employee than their overall

Speaker:

So I think we're going to see

Speaker:

this tremendous degree of

Speaker:

integration.

Speaker:

In the workplace and...

Speaker:

Everyone is going to be managing

Speaker:

multiple.

Speaker:

Agents between agents,

Speaker:

digital tweens, this is still out

Speaker:

there.

Speaker:

They're already existing and

Speaker:

beginning to.

Speaker:

Show up in some experimental

Speaker:

case studies where You play

Speaker:

different scenarios, it's very

Speaker:

immersive.

Speaker:

We've talked about for skills

Speaker:

development, we've looked at.

Speaker:

Metaverse for example, we kind of

Speaker:

put it on the back burner for a

Speaker:

while But he's gonna come

Speaker:

back pretty soon where

Speaker:

you're going to be practicing skills

Speaker:

in these.

Speaker:

Simulated environments,

Speaker:

which basically ensure a

Speaker:

much more accelerated

Speaker:

Learning curve.

Speaker:

Than from what we've seen before

Speaker:

sitting in class and taking notes.

Speaker:

Et cetera, et cetera.

Speaker:

And the challenge for us right now

Speaker:

is to better understand.

Speaker:

How humans need to do that and

Speaker:

train people on taking

Speaker:

advantage of all of these support

Speaker:

systems.

Speaker:

That are becoming available.

Speaker:

And my recommendation is to start

Speaker:

with just some basic color lamps

Speaker:

that people have on there.

Speaker:

Phones right now like Chad's GPT.

Speaker:

And train them and create their

Speaker:

own.

Speaker:

Chat that will be like your

Speaker:

dedicated coach.

Speaker:

So that they have

Speaker:

of the memory and information about

Speaker:

your preferences, et cetera, et

Speaker:

cetera, and that will become even

Speaker:

more important.

Speaker:

As people move

Speaker:

from job to job because right now

Speaker:

a lot of these case studies are

Speaker:

within companies for the company

Speaker:

to achieve their goals, etc.

Speaker:

As I said, trend on the policies,

Speaker:

trend on that specific.

Speaker:

Market segment, etc.

Speaker:

But for individuals to be able

Speaker:

to have that.

Speaker:

Market relevance across

Speaker:

different segments in industries.

Speaker:

It will be.

Speaker:

Important to start with the coach

Speaker:

early on and there are some

Speaker:

incredibly persuasive.

Speaker:

Examples of where.

Speaker:

Starting from high school.

Speaker:

These AI career

Speaker:

coaches are beginning to get

Speaker:

introduced.

Speaker:

And then if all of that information

Speaker:

is preserved as you move around and

Speaker:

you own it.

Speaker:

That will help you.

Speaker:

Get coached, trained, et cetera,

Speaker:

et cetera, and find appropriate

Speaker:

employment.

Speaker:

So that's kind of the promise out

Speaker:

there. It's there right now.

Speaker:

As I said, where I

Speaker:

see most uptick...

Speaker:

Is in the integration of

Speaker:

AI coaching.

Speaker:

And learning and development, skills

Speaker:

development, and professional

Speaker:

development in companies.

Speaker:

With various types of

Speaker:

experimentation continuing with

Speaker:

other types of technologies.

Speaker:

But all of it is focused on

Speaker:

Accelerating.

Speaker:

Skills development, finding

Speaker:

better opportunities.

Speaker:

And better fit, to be honest.

Speaker:

For what you have

Speaker:

to offer and what the organizations

Speaker:

you might be joining are looking

Speaker:

for. If that makes sense.

Speaker:

It does make sense.

Speaker:

This future that you paint is.

Speaker:

Half terrifying and half

Speaker:

exciting.

Speaker:

Depending on whether you're going

Speaker:

for the Pink

Speaker:

Floyd, another brick in the wall

Speaker:

moment, or more

Speaker:

of the freeing that

Speaker:

we're all going to have these

Speaker:

machines doing everything.

Speaker:

I'm going to choose the free

Speaker:

egg. We're not all just bricks

Speaker:

in the wall controlling machines,

Speaker:

but actually, it means that we

Speaker:

have. The ability to

Speaker:

do more than we ever thought

Speaker:

possible before.

Speaker:

My sense working in startups

Speaker:

is there's never enough hours of the

Speaker:

day. There are never enough people,

Speaker:

the dreams and visions that you

Speaker:

have.

Speaker:

Are always 18 months away.

Speaker:

Do you think when we get really

Speaker:

good at using machines?

Speaker:

We'll actually achieve

Speaker:

what we want to achieve within

Speaker:

the right number of hours and

Speaker:

be able to relax.

Speaker:

I think that that's something that

Speaker:

we should definitely aspire for.

Speaker:

However, the biggest unknown to

Speaker:

me is not technology.

Speaker:

But the humans.

Speaker:

Because all of these tools are

Speaker:

showing up so fast.

Speaker:

And way evolutionary.

Speaker:

As, you know, mammals.

Speaker:

Are not able to

Speaker:

adjust in.

Speaker:

Change how we know our brains

Speaker:

are.

Speaker:

Paleolithic, you know, we'd go back

Speaker:

millennia.

Speaker:

So I think that's the biggest

Speaker:

unknown. And this is where...

Speaker:

The concerns are, and

Speaker:

this is the necessity

Speaker:

of really...

Speaker:

A very responsible

Speaker:

individuals who are

Speaker:

in charge or sort of.

Speaker:

Types of innovations.

Speaker:

And what I can say is with the

Speaker:

introduction of these tools.

Speaker:

In companies, the companies are

Speaker:

watching it.

Speaker:

Experimenting and watching, I'm

Speaker:

involved in a couple of research

Speaker:

projects right now.

Speaker:

As we are kind of studying the human

Speaker:

reaction to.

Speaker:

Is tools.

Speaker:

At scale in organizations,

Speaker:

like with one.

Speaker:

Leading insurance company we are.

Speaker:

Looking at.

Speaker:

Management behavior and how.

Speaker:

Fast the managers can adjust

Speaker:

how they're using these tools.

Speaker:

What a day.

Speaker:

Kind of the best practice use

Speaker:

cases.

Speaker:

And whether we're able

Speaker:

to accelerate that productivity and

Speaker:

efficiency, everything that we're

Speaker:

looking for.

Speaker:

But there's still a lot of questions

Speaker:

around.

Speaker:

You know, how the humans are going

Speaker:

to respond.

Speaker:

And the change will need to happen

Speaker:

all the way to schools,

Speaker:

high schools and before of how

Speaker:

we learn.

Speaker:

And what we learn.

Speaker:

And it's already beginning to

Speaker:

happen, but obviously not fast

Speaker:

enough and it's.

Speaker:

Most importantly, not evenly

Speaker:

distributed.

Speaker:

You'll have schools that are.

Speaker:

Embracing it.

Speaker:

Wishing it.

Speaker:

And then took in from an educational

Speaker:

perspective and companies as well.

Speaker:

And obviously those who do not have

Speaker:

the resources, the understanding,

Speaker:

the staff, et cetera.

Speaker:

And I think that.

Speaker:

We'll create a lot of.

Speaker:

Additional inequity in the market.

Speaker:

And it's been amazing speaking with

Speaker:

today. Unfortunately, we're rapidly

Speaker:

running out of time.

Speaker:

You have to answer the one question

Speaker:

we ask every single one of our

Speaker:

guests, which is out of everything

Speaker:

that we covered today and not.

Speaker:

If our listeners can only take one

Speaker:

thing away, what would it be?

Speaker:

I would say Just do it.

Speaker:

Try it, experiment on yourself.

Speaker:

Be out there.

Speaker:

Trust that this is going to work

Speaker:

out better for you if

Speaker:

you are.

Speaker:

Ahead of the curve.

Speaker:

On internalizing those tools,

Speaker:

learning how to.

Speaker:

Use them to your advantage, et

Speaker:

cetera. And then what.

Speaker:

Delights me about these

Speaker:

technologies.

Speaker:

They're a lot easier too.

Speaker:

Learn or to get.

Speaker:

Used to in.

Speaker:

Your day-to-day work.

Speaker:

Than anything that we've seen

Speaker:

before.

Speaker:

On that note, thank you, Anna,

Speaker:

for joining us on the Operations

Speaker:

Room. If you like what you hear,

Speaker:

please leave us a comment or

Speaker:

subscribe and we will see you next

Speaker:

week.

Show artwork for The Operations Room: A Podcast for COO’s

About the Podcast

The Operations Room: A Podcast for COO’s
We are the COO coaches to help you successfully scale in this new world where efficiency is as important as growth. Remember when valuations were 3-10x ARR and money wasn’t free? We do. Each week we share our experiences and bring in scale up experts and operational leaders to help you navigate both the burning operational issues and the larger existential challenges. Beth Ayers is the former COO of Peak AI, NewVoiceMedia and Codilty and has helped raise over $200m from top funds - Softbank, Bessemer, TCV, MCC, Notion and Oxx. Brandon Mensinga is the former COO of Signal AI and Trint.

About your host

Profile picture for Brandon Mensinga

Brandon Mensinga