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Is Your AI Rollout Built to Fail?
Episode 124 • Bonus Episode • 11th August 2026 • The So What from BCG • Boston Consulting Group BCG
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Kristy Ellmer and Julia Dhar, co-authors of How Change Really Works and founders of BCG’s Behavioral Science Lab, explain why so many transformations fail and what the science says separates success from failure. They break down the “messy middle,” why people resist being changed rather than change itself, and how giving employees real agency turns resistance into momentum.

What You’ll Learn:

Why “false alignment” among leaders, not resistance from employees, derails most transformations before they start.

Why giving employees real ownership, not just participation, turns resistance into momentum.

What makes AI transformations distinct from other kinds of organizational change

Learn More:

Read How Change Really Works: https://on.bcg.com/3SpBPzd

Your AI Change Is Actually a People Change: https://on.bcg.com/3RKUp4J

The False Alignment Trap: https://on.bcg.com/45R9ULH

CEOs Are Betting Big on AI Transformations. Science Is How They Win: https://on.bcg.com/4bGy1jG

We Found the Real Reason 70% of Transformations Fail: https://on.bcg.com/4xqmOMq

Chapters

(0:00) What Is Transformation?

(1:54) Why Leaders Need a New Playbook for Change

(3:42) Where Do Most Transformations Fail?

(5:37) What Does the “Messy Middle” Look Like?

(6:28) What Makes AI Transformations Different?

(9:25) Where Is the "End Point" in an AI Transformation?

(11:51) Why “Just Get on the Bus” Isn’t Good Advice for AI Change

(13:03) When to Walk Away from a Change Effort

(15:42) What Should Leaders Do When Momentum Fades?

(16:49) Why Giving Employees Ownership Matters

(21:06) What Should Leaders Do in the “Messy Middle”?

(22:37) How Do You Make Change Successful?

Meet the Experts

Kristy Ellmer: https://on.bcg.com/4xvpgBg

Co-Author, How Change Really Works

BCG Managing Director & Partner

North American Leader, BCG’s Transform Practice

Co-Founder, BCG’s Behavioral Science Lab:

https://on.bcg.com/4z9WhVs

Julia Dhar: https://on.bcg.com/45ec8Vj

Co-Author, How Change Really Works

BCG Managing Director & Partner

North American Leader, People and Organization Practice

Co-Founder, BCG’s Behavioral Science Lab: https://on.bcg.com/4z9WhVs

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Transcripts

Speaker:

- One of the biggest

myths out there is

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that people just

don't like to change.

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In fact, people are quite

positive about change.

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They know that to

improve is to change.

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What they don't like

is being changed.

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- The organizations that will

define the next decade won't

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simply be the smartest

organizations.

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They'll be the ones that

are the most adaptable.

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And adaptability is

something that we can learn,

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and you can build it

into the system

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that actually creates

the conditions

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where people are ready,

willing, and able--

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and even excited--

to change.

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- Welcome to

"The So What from BCG,"

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the podcast looking at the

ideas shaping business,

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the economy, and society.

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I'm Georgie Frost.

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AI is transforming the

way businesses operate,

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and CEOs are under enormous

pressure to make sure

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their organizations

don't get left behind.

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But history suggests

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that most large-scale

transformations fail.

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So how can businesses

stay focused

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and get to the finish line?

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Joining me today is

Kristy Ellmer,

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North American leader of

BCG's Transformation practice,

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and Julia Dhar,

North American leader

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of People and

Organizational practice.

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Together, they're the founders

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of BCG's Behavioral Science Lab

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and co-authors of

the bestselling new book

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"How Change Really Works:

Seven Science-Based Principles

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for Transforming Your Organization."

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Kristy, Julia, welcome.

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Before we talk about

how change really works,

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let's define,

if you wouldn't mind,

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what we actually mean

when we talk about change

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and transformations

in a business context.

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- We think about transformation

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as in any deliberate effort

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to shift how people do,

get something done together.

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So that can be an AI rollout.

It can be a merger.

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It can be a change in

the customer service.

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The transformation isn't about

changing just the strategy.

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It's actually about changing

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how people show up

on Tuesday morning.

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So think about it as,

are people coming

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and acting differently

six months from now

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in the way that

they do the work

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and the way that

they're operating?

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- Julia, why write

a book about change?

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- There are any number

of books about change.

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We've spilled a lot of words

over the last half century

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about our disappointment

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with the rates of success

in organizational change.

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I frankly think we're not

scandalized enough about

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how frequently change is not

successful in organizations.

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But there were two reasons, really.

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Number one is it is not that

change fails all the time.

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There are successes,

and they're not random.

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They leave clues.

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And we wanted to

systematically put

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those clues together into

a useful body of knowledge

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for our practitioners,

for CEOs,

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for chief transformation officers,

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just for someone trying

to make a positive change

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at their company or

in their community.

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The second is that we have

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an incredibly helpful

body of knowledge,

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in fact, bodies of knowledge,

from the behavioral sciences--

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psychology, economics,

neuroscience,

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customer research--

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about human beings,

about how we change,

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what are the circumstances

under which we predictably

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and sustainably can make

a shift in our behavior.

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20 years ago, a really

treasured friend, colleague,

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mentor, hero of ours, Jeanie Duck,

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wrote a book called "The Change Monster,"

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which gave concepts to what I think a lot

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of people were feeling about

the difficulty of change.

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One of the neatest things

about the last two decades

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about building behavioral

science at BCG has been

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that so many of the

concepts, the propositions

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in Jeanie's book now have science

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that did not exist at the time

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to back them up

and to affirm them.

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- Julia, can you go

into more detail for me

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about why and where

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so many transformations

fall down?

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- I think a number-one error

that we make upfront is

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having false alignment

rather than true agreement--

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not devoting sufficient

time to say,

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do we have the same set

of objectives and intentions

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and measures of success

for the transformation

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among a relatively small

group of executives?

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This is really simple.

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This is like the cheapest

behavioral science hack

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of all time.

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If you're embarking

on this journey,

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if you're midway

through the journey,

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get that group

of people together.

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Give them each a piece

of paper and a pen--

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they can share a pen

if budgets are tight--

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and write down what are the

goals of this transformation

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and how will we know if

we have achieved them.

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You'll be surprised

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by how often you get

wildly different answers.

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The second, in the middle,

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what Kristy always talks

about as the messy middle,

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is assuming that change

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in behavior, commitment, energy

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will just come by default,

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that it will emerge

naturally and spontaneously

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rather than being

something that we plan for.

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It won't. Of course it won't.

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And, and then the third is

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actually sustaining that momentum

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over a really long period of time--

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one of these consistent themes

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from even very tenured executives.

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One of my favorite CEOs,

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who I admire a lot,

said the other day,

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"You know, I'm on my third

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like really significant

transformation

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and turnaround at

my third company.

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And I had forgotten how

difficult it would be.

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I'd forgotten how hard it is

to do something like this.

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I always just thought it

would be a little bit easier."

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Planning for that idea

that there are periods

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where it will be difficult

and boring and painful

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to move through the journey

is really critical.

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- Kristy, the messy middle?

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- The messy middle. The messy

middle isn't dramatic.

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It's actually quite quiet.

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And this is the thing

that leaders need

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to be paying attention for.

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This is when you're in the

middle of the transformation

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and maybe some things are going on track,

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some things are maybe off track,

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but you've been

at it for a while.

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Meetings become updates

instead of decision meetings.

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Initiatives maybe

slip by two weeks.

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Maybe then it's

a couple of months.

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And you start to hear a

lot of reporting increases

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but actually a lot less discussion

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and problem-solving

and challenging it.

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And that is when the, the

leaders should start to worry.

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If you think about momentum,

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momentum isn't something

that disappears overnight.

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It actually leaks.

And in the messy middle,

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that is where the

momentum is leaking.

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And your job as a leader

is actually to say,

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how do I create and maintain that momentum

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throughout the

transformation?

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Because that is where

transformations go

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to live and die.

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- Julia, you mentioned about

your favorite CEO going

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through three transformations.

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- I don't have a favorite

CEO, Georgie.

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- Oh, sorry. One of.

Forgive me.

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- You know, that'd be like having

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a favorite family member.

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- Yeah, sorry. No biases here, of course.

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- I do, I do deeply

admire this one.

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- You mentioned a CEO

who you admire greatly.

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Can I say greatly as well?

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- Certainly you may.

- Excellent stuff.

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You mentioned, Julia,

you mentioned a CEO

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that you admire greatly.

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They've gone through

three transformations.

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I'm just wondering how

similar transformations are

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depending on, I suppose,

what you're transforming.

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And, and with that, AI is of course going

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to be on many CEOs' agendas.

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How fundamentally different

would that transformation be

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from other kinds

of transformation?

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- I think human beings are

beautiful and unique.

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Thank goodness they are

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because this is why I have a job.

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Transformations are equally

beautiful and unique.

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And I say a little bit

of that in jest

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because of course there are ways

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in which human beings

are very similar.

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There are ways

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in which organizations

are very similar.

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This is why benchmarks

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and best practices are

somewhat useful.

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But acknowledging and taking

time to learn about the ways

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in which an organization

is beautiful and unique,

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the beliefs that

people have about it,

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the beliefs that they have

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about the things that

will be difficult or easy

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inside their organization

are really important.

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And I think that's a really

important gesture of respect

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and empathy for

anyone who is trying

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to make change happen

is to understand

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where are people

actually beginning?

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Because it will reveal to

you something really obvious,

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which is that everyone is always starting

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from a, quite a different

starting point than you.

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What's distinct and different

about AI? Probably two things.

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Number one, I think, is

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the degree and

intensity of change.

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I don't think it's

hyperbole to say

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this is highly,

highly likely to be

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the single most disruptive

change that anyone

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of the five generations

currently in the workforce are

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likely to see in

their working career.

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Number two is the way

in which it challenges

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or forces people to

confront their identity.

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So very often in any type of

organizational transformation,

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people are asking,

will I have a job?

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What will I be doing?

Who will I be doing it with?

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One of the things

that is different

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in some AI transformations

is people are asking,

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"If I don't write software code, who am I;

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what is valuable

about being a person

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in this organization?"

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at the same time

as they are asking,

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"What should I advise

my child to do;

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do I think my spouse

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or significant other

will have a job?"

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And so the complexity and

intensity of the emotions

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that people will have

around that are likely

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to be more significant

than in other situations.

226

00:09:26,291 --> 00:09:27,958

- But with something like AI--

227

00:09:27,958 --> 00:09:30,625

and I feel we're in quite

a nascent period here--

228

00:09:30,625 --> 00:09:32,750

what does the end

point look like?

229

00:09:33,625 --> 00:09:36,375

Do we know? And does that

make it more complicated?

230

00:09:36,375 --> 00:09:38,208

- No, I, I don't

think we know.

231

00:09:38,208 --> 00:09:40,375

And I think what we're

working through right now is

232

00:09:40,375 --> 00:09:42,958

actually understanding what

does the change look like

233

00:09:42,958 --> 00:09:45,583

and how can we think about

it in sort of chapters.

234

00:09:45,583 --> 00:09:46,958

And I think one

of the elements

235

00:09:46,958 --> 00:09:48,375

that we talk about

in the book

236

00:09:48,375 --> 00:09:50,375

that was really

important to us is

237

00:09:50,375 --> 00:09:52,291

this idea of endings.

238

00:09:52,291 --> 00:09:55,250

And the important reason

it matters so much is

239

00:09:55,250 --> 00:09:57,625

because humans need endings.

240

00:09:57,625 --> 00:09:59,291

And so one of the

things we recognize

241

00:09:59,291 --> 00:10:01,125

and we hear from a lot

of our organizations

242

00:10:01,125 --> 00:10:03,750

that we work with is "my

people are tired," right?

243

00:10:03,750 --> 00:10:05,208

The organization is fatigued,

244

00:10:05,208 --> 00:10:08,250

and now you're throwing

all of this AI change in.

245

00:10:08,250 --> 00:10:10,458

And so how can we

actually get people to

246

00:10:10,458 --> 00:10:13,250

improve their ability to

sort of take on change?

247

00:10:13,250 --> 00:10:14,916

And one of the things

that we found is

248

00:10:14,916 --> 00:10:17,958

companies just keep adding

on to levels of change.

249

00:10:17,958 --> 00:10:19,833

And I think about it

now that we are actually

250

00:10:19,833 --> 00:10:20,666

in a change economy,

251

00:10:20,666 --> 00:10:23,458

meaning we need to constantly be changing.

252

00:10:23,458 --> 00:10:26,583

But that doesn't mean that

you can't construct endings

253

00:10:26,583 --> 00:10:29,625

with natural periods to

actually help people see

254

00:10:29,625 --> 00:10:31,541

the start and the

end of something

255

00:10:31,541 --> 00:10:34,583

which is actually going to

improve their confidence

256

00:10:34,583 --> 00:10:36,000

and, therefore,

their cognitive load

257

00:10:36,000 --> 00:10:37,958

to take on the next change.

258

00:10:37,958 --> 00:10:41,041

You know, I think, in the AI

age that we're in right now,

259

00:10:41,041 --> 00:10:44,250

we can draw some inspiration

particularly as well

260

00:10:44,250 --> 00:10:47,208

as we think about how to

make AI more successful

261

00:10:47,208 --> 00:10:49,041

from a story that we

tell in the book.

262

00:10:49,041 --> 00:10:51,791

One of the things that

happened during World War II is

263

00:10:51,791 --> 00:10:54,666

there was, the US pilots were

having a lot of accidents,

264

00:10:54,666 --> 00:10:56,625

and they couldn't figure out why.

265

00:10:56,625 --> 00:10:59,708

And interestingly enough,

the, the government went

266

00:10:59,708 --> 00:11:03,125

and hired someone called Paul

Fitts, who was a psychologist.

267

00:11:03,125 --> 00:11:05,625

And what they found

was it was actually

268

00:11:05,625 --> 00:11:08,625

the, the cockpit design

of the airplane

269

00:11:08,625 --> 00:11:10,875

that was creating

all the mistakes.

270

00:11:10,875 --> 00:11:12,916

There weren't natural

human ways in sort of

271

00:11:12,916 --> 00:11:15,500

how they would use different

parts in the cockpit.

272

00:11:15,500 --> 00:11:17,750

Think of all the buttons

in different places.

273

00:11:17,750 --> 00:11:19,583

And so he actually redesigned the cockpit.

274

00:11:19,583 --> 00:11:22,250

And immediately what they

found was an increase in sort

275

00:11:22,250 --> 00:11:24,666

of performance from the pilots.

276

00:11:24,666 --> 00:11:26,000

And so if we think

about that story

277

00:11:26,000 --> 00:11:28,125

and we put AI into it,

right now we're sort

278

00:11:28,125 --> 00:11:31,458

of giving people a tool and

we're saying, use AI, right?

279

00:11:31,458 --> 00:11:33,208

Use it into your workflow.

280

00:11:33,208 --> 00:11:35,583

And what people are doing

is sort of small changes.

281

00:11:35,583 --> 00:11:37,208

They're sort of playing with it.

282

00:11:37,208 --> 00:11:38,500

We actually need to think about

283

00:11:38,500 --> 00:11:42,333

how do we redesign sort

of the cockpit with AI

284

00:11:42,333 --> 00:11:44,375

so that people can

engage in it differently.

285

00:11:44,375 --> 00:11:45,583

And when you start to do that,

286

00:11:45,583 --> 00:11:49,250

you'll actually get people

more engaged in the process

287

00:11:49,250 --> 00:11:51,708

versus just giving them the tool.

288

00:11:51,708 --> 00:11:52,666

- Julia?

289

00:11:52,666 --> 00:11:57,666

- If your assumption is that

a car is just a faster horse,

290

00:11:57,708 --> 00:12:02,708

you miss a lot of the chances

to think about the driver.

291

00:12:03,625 --> 00:12:07,125

We've spent a lot of

the last two years

292

00:12:07,125 --> 00:12:09,291

hearing from senior

leaders, telling people

293

00:12:09,291 --> 00:12:12,958

to get on the bus

when it comes to AI.

294

00:12:12,958 --> 00:12:16,125

And I increasingly think that

isn't very helpful advice.

295

00:12:16,125 --> 00:12:18,750

Number one, because

people already know it.

296

00:12:18,750 --> 00:12:23,208

Our research suggests that

close to 90% of employees know

297

00:12:23,208 --> 00:12:25,375

that they will need significant

298

00:12:25,375 --> 00:12:27,875

and substantial

retraining, reskilling

299

00:12:27,875 --> 00:12:30,333

to stay competitive in

their job, at their company,

300

00:12:30,333 --> 00:12:32,750

in the economy overall.

301

00:12:32,750 --> 00:12:33,875

But the thing that

really bends me

302

00:12:33,875 --> 00:12:36,083

out of shape about it is

303

00:12:36,083 --> 00:12:39,500

the thing about buses is they

usually have a large sign

304

00:12:39,500 --> 00:12:42,083

on the front that tells you

where the bus is going.

305

00:12:42,083 --> 00:12:44,875

They have predictable

and planned routes

306

00:12:44,875 --> 00:12:48,833

and stops along the way that

tell people what to expect.

307

00:12:48,833 --> 00:12:52,250

So I'd love us to spend

the next six months,

308

00:12:52,250 --> 00:12:54,875

the next 12 months being a

little bit more introspective

309

00:12:54,875 --> 00:12:58,041

among leadership teams

and asking,

310

00:12:58,041 --> 00:13:01,166

how well have we told people

where the bus is going

311

00:13:01,166 --> 00:13:03,291

and what to expect

along the journey?

312

00:13:04,250 --> 00:13:07,500

- How do you know when,

313

00:13:07,500 --> 00:13:09,791

I mean, to use

your bus analogy,

314

00:13:09,791 --> 00:13:12,208

when the bus is going

in the wrong direction

315

00:13:12,208 --> 00:13:15,000

and actually is probably best

316

00:13:15,000 --> 00:13:16,375

just to get off

and start again?

317

00:13:16,375 --> 00:13:19,708

- Organizations are full

of feelings and facts.

318

00:13:20,750 --> 00:13:23,583

Feelings are even more

important than facts,

319

00:13:23,583 --> 00:13:26,250

but a feeling is not

the same as a fact.

320

00:13:26,250 --> 00:13:29,750

So number one, if

you're an executive,

321

00:13:29,750 --> 00:13:31,000

if you're leading a change

322

00:13:31,000 --> 00:13:34,291

and you start to

have a feeling

323

00:13:34,291 --> 00:13:37,250

that the energy is

coming out of it,

324

00:13:37,250 --> 00:13:39,666

the success,

attention, focus is

325

00:13:39,666 --> 00:13:41,750

perhaps not what you

remembered, rightly or not,

326

00:13:41,750 --> 00:13:43,750

not what you remembered

at the beginning

327

00:13:43,750 --> 00:13:45,625

or not what you expected,

328

00:13:46,458 --> 00:13:49,333

first, that's just a feeling.

Let's get some facts.

329

00:13:49,333 --> 00:13:51,833

A good set of facts would be,

330

00:13:51,833 --> 00:13:54,666

how are we doing versus

our original objective?

331

00:13:54,666 --> 00:13:57,583

An equally useful set

of facts would be,

332

00:13:57,583 --> 00:13:59,791

how do other people feel?

333

00:13:59,791 --> 00:14:02,791

What measures of the emotion

and commitment do we have

334

00:14:02,791 --> 00:14:04,708

from other people

in the organization

335

00:14:04,708 --> 00:14:07,875

who we are expecting

to change?

336

00:14:07,875 --> 00:14:10,333

Do they believe that

we will be successful?

337

00:14:10,333 --> 00:14:13,083

How are they feeling about it?

338

00:14:13,083 --> 00:14:14,208

And let's say, Georgie,

339

00:14:14,208 --> 00:14:17,666

that your original diagnosis

is totally correct--

340

00:14:17,666 --> 00:14:22,458

that this effort appears

to have fizzled out,

341

00:14:22,458 --> 00:14:24,625

that none of the

things that we hoped

342

00:14:24,625 --> 00:14:26,875

that people would do

have happened,

343

00:14:26,875 --> 00:14:30,166

that none of the tools

we built are being used.

344

00:14:31,875 --> 00:14:34,250

We kind of have two choices at that point.

345

00:14:34,250 --> 00:14:37,666

One is you can look for

somewhere to put that blame,

346

00:14:37,666 --> 00:14:40,083

and very often you'll end up

with narratives like, well,

347

00:14:40,083 --> 00:14:43,458

people are not very engaged

or not very motivated

348

00:14:43,458 --> 00:14:45,583

or they're not

very appreciative

349

00:14:45,583 --> 00:14:47,875

of all the hard work

that has happened.

350

00:14:47,875 --> 00:14:49,875

But the alternative--

shout out

351

00:14:49,875 --> 00:14:54,541

to Katy Milkman, a phenomenal

professor at Wharton--is

352

00:14:54,541 --> 00:14:56,750

to induce a fresh start,

to just say,

353

00:14:56,750 --> 00:14:59,958

sometimes it is not that

we need to begin again,

354

00:14:59,958 --> 00:15:03,750

but let's just declare a moment

355

00:15:03,750 --> 00:15:06,625

where we can re-begin.

356

00:15:06,625 --> 00:15:09,583

And one of the things that

Professor Milkman has found is

357

00:15:09,583 --> 00:15:11,625

that, you know, we're much

more likely to be successful

358

00:15:11,625 --> 00:15:15,750

in making a change at emotionally

significant milestones

359

00:15:15,750 --> 00:15:18,500

like the 1st of January,

360

00:15:18,500 --> 00:15:23,125

your birthday, a Monday,

the start of a month.

361

00:15:23,125 --> 00:15:24,958

The thing that I love

about this research is,

362

00:15:24,958 --> 00:15:26,708

as it has continued

to progress,

363

00:15:26,708 --> 00:15:30,250

is just declaring

a fresh start can be

364

00:15:30,250 --> 00:15:32,333

psychologically

incredibly powerful.

365

00:15:32,333 --> 00:15:36,458

And number two, using that

mechanism of a fresh start

366

00:15:36,458 --> 00:15:38,041

is not an admission of defeat.

367

00:15:38,041 --> 00:15:42,416

It's sort of how you refocus

everyone to be successful.

368

00:15:42,416 --> 00:15:44,291

- Kristy, what's your view?

369

00:15:44,291 --> 00:15:45,625

- I think about momentum

370

00:15:45,625 --> 00:15:47,958

as something that's actually

a management system.

371

00:15:47,958 --> 00:15:50,416

So how do I feel ownership

of creating that?

372

00:15:50,416 --> 00:15:52,416

How do I create

more recognition

373

00:15:52,416 --> 00:15:54,833

in the organization

to create some momentum,

374

00:15:54,833 --> 00:15:56,750

even if we're

starting to leak it?

375

00:15:56,750 --> 00:15:58,791

If I think about how do

I take the initiatives

376

00:15:58,791 --> 00:16:01,083

and maybe break them

down into smaller pieces,

377

00:16:01,083 --> 00:16:03,375

so I can start to show some

more wins on the board?

378

00:16:03,375 --> 00:16:04,208

You know, it's similar

379

00:16:04,208 --> 00:16:06,208

to when you're doing any sort of activity

380

00:16:06,208 --> 00:16:08,000

like long-distance

running or something

381

00:16:08,000 --> 00:16:10,833

and that idea of people

feeling like they're winning

382

00:16:10,833 --> 00:16:13,041

is actually going to create that momentum.

383

00:16:13,041 --> 00:16:15,625

- If you are only going

to remember one thing,

384

00:16:15,625 --> 00:16:16,666

I think it would be

385

00:16:16,666 --> 00:16:21,125

that all of us are

addicted to progress.

386

00:16:21,125 --> 00:16:25,166

And like the dopamine hit

on progress is so high.

387

00:16:25,166 --> 00:16:28,416

And being able to

give that to someone

388

00:16:28,416 --> 00:16:29,458

by creating a structure

389

00:16:29,458 --> 00:16:32,125

in which they will

have made progress,

390

00:16:32,125 --> 00:16:33,500

they get to see that progress,

391

00:16:33,500 --> 00:16:36,791

you can make it visible

to other people

392

00:16:36,791 --> 00:16:41,000

and to themselves

is a free gift

393

00:16:41,000 --> 00:16:45,083

to people doing the hard

work in the organization

394

00:16:45,083 --> 00:16:47,166

and, by the way, is going to end up being

395

00:16:47,166 --> 00:16:49,083

a free gift to

the shareholders.

396

00:16:49,083 --> 00:16:53,041

- I want to dig into

why it matters so much

397

00:16:53,041 --> 00:16:56,916

to give people ownership in

successful transformations.

398

00:16:56,916 --> 00:16:58,708

Why is that so key?

399

00:16:58,708 --> 00:17:00,250

- I think one of the

elements we like

400

00:17:00,250 --> 00:17:02,000

to actually use

the word is agency

401

00:17:02,000 --> 00:17:04,916

and that idea of I

actually feel some agency

402

00:17:04,916 --> 00:17:07,541

and that I'm in control a little bit more.

403

00:17:07,541 --> 00:17:09,041

And as you think

about an organization,

404

00:17:09,041 --> 00:17:10,958

depending on the size and

scope of your transformation,

405

00:17:10,958 --> 00:17:12,583

you might have

thousands of people

406

00:17:12,583 --> 00:17:14,791

that are actually being

affected by the change.

407

00:17:14,791 --> 00:17:16,041

And so the idea is,

408

00:17:16,041 --> 00:17:19,041

how do you actually create

agency across that?

409

00:17:19,041 --> 00:17:20,916

One of the things that

we saw in the science was

410

00:17:20,916 --> 00:17:22,625

something called

the IKEA effect.

411

00:17:22,625 --> 00:17:24,375

And basically what

it came down to is

412

00:17:24,375 --> 00:17:26,333

a, a study that was done

413

00:17:26,333 --> 00:17:29,500

that actually had people

build IKEA furniture

414

00:17:29,500 --> 00:17:32,041

and had others sort of

purchase IKEA furniture.

415

00:17:32,041 --> 00:17:35,041

The people that built the

IKEA furniture actually saw

416

00:17:35,041 --> 00:17:38,208

a 63% increase in

their perceived value

417

00:17:38,208 --> 00:17:39,833

of that IKEA furniture.

418

00:17:39,833 --> 00:17:42,041

You know, Julia often

likes to say it like this,

419

00:17:42,041 --> 00:17:44,833

that people don't burn down

houses that they build.

420

00:17:44,833 --> 00:17:47,500

We actually spend a lot of

time designing a system

421

00:17:47,500 --> 00:17:48,875

in a transformation

422

00:17:48,875 --> 00:17:51,500

that actually says we're

creating that agency.

423

00:17:51,500 --> 00:17:53,291

We're getting more than

just participation.

424

00:17:53,291 --> 00:17:56,250

We're allowing people to

sort of make micro decisions

425

00:17:56,250 --> 00:17:58,916

or be part of influencing

communities or groups

426

00:17:58,916 --> 00:18:02,250

that are working teams

where they have more say.

427

00:18:02,250 --> 00:18:04,750

And the more you do that,

you create that more ownership

428

00:18:04,750 --> 00:18:06,500

in the transformation,

and all of a sudden,

429

00:18:06,500 --> 00:18:08,791

it's not 10 people rowing

in the boat, right?

430

00:18:08,791 --> 00:18:11,291

It's hundreds, if not

thousands, all rowing

431

00:18:11,291 --> 00:18:12,500

and rowing in

the same direction

432

00:18:12,500 --> 00:18:13,958

because they believe in it.

433

00:18:13,958 --> 00:18:15,083

- Julia, what's your take?

434

00:18:15,083 --> 00:18:17,166

- All of the hyperscalers,

435

00:18:17,166 --> 00:18:19,541

all of the model companies

are talking now

436

00:18:19,541 --> 00:18:23,166

about human agency, which

is so encouraging to me

437

00:18:23,166 --> 00:18:26,166

because two years ago, when we decided

438

00:18:26,166 --> 00:18:28,458

to devote a whole chapter to it,

439

00:18:28,458 --> 00:18:30,500

no one was talking about it.

440

00:18:30,500 --> 00:18:33,833

And for us, it was a direct

response to, I think,

441

00:18:33,833 --> 00:18:38,166

some really dangerous cliches

in organizational change.

442

00:18:38,166 --> 00:18:42,708

Things like "we need to

bring people along" made

443

00:18:42,708 --> 00:18:45,625

my own mental image of

like dragging people

444

00:18:45,625 --> 00:18:48,125

into something which, by

the way, sounds terrible

445

00:18:48,125 --> 00:18:50,958

for both parties involved.

446

00:18:50,958 --> 00:18:54,625

We just need to get

people excited.

447

00:18:54,625 --> 00:18:58,208

Well, I think the worst

thing that you can do

448

00:18:58,208 --> 00:19:00,666

in almost any situation

is tell people

449

00:19:00,666 --> 00:19:04,416

how you think they should

feel about something.

450

00:19:04,416 --> 00:19:08,625

So telling people that you,

you need them to get excited,

451

00:19:08,625 --> 00:19:11,458

I think, is a bit like telling

people not to get defensive.

452

00:19:11,458 --> 00:19:14,625

It's going to produce

the exact opposite result

453

00:19:14,625 --> 00:19:15,875

that you hope.

454

00:19:15,875 --> 00:19:19,875

Or when you say, we need,

455

00:19:19,875 --> 00:19:24,875

generically, some change

champions in the organization,

456

00:19:25,166 --> 00:19:30,041

well, if they don't have any

ability to act with agency,

457

00:19:30,041 --> 00:19:33,541

to honestly raise issues and resolve them,

458

00:19:33,541 --> 00:19:36,708

then they just become

propagandists for the state.

459

00:19:36,708 --> 00:19:38,500

None of that is useful.

460

00:19:38,500 --> 00:19:42,791

What is unbelievably

useful, especially when

461

00:19:42,791 --> 00:19:46,791

there will never be enough

time or money or attention

462

00:19:46,791 --> 00:19:51,250

to do all the things that

we want to do in a company,

463

00:19:51,250 --> 00:19:56,208

maximizing the ability for

people to make choices,

464

00:19:56,208 --> 00:20:01,208

take action, see the impact

of those, have agency

465

00:20:01,625 --> 00:20:04,875

gives you the chance

to multiply the results

466

00:20:04,875 --> 00:20:07,041

of what you are going to do.

467

00:20:07,041 --> 00:20:12,041

A COO, who I also

very deeply admire,

468

00:20:12,041 --> 00:20:15,333

was once rolling out a big change program

469

00:20:15,333 --> 00:20:17,375

across a complicated site

470

00:20:17,375 --> 00:20:22,208

and a very like diverse and diffuse site.

471

00:20:22,208 --> 00:20:23,833

And I said, "How's it,

472

00:20:23,833 --> 00:20:27,000

how's it going to work

after we train people,

473

00:20:27,000 --> 00:20:28,958

and how are we going to make

sure that they do it?"

474

00:20:28,958 --> 00:20:31,083

Because they have

a lot of independence,

475

00:20:31,083 --> 00:20:32,791

a fair bit of autonomy in

how they do their work,

476

00:20:32,791 --> 00:20:34,125

but in a very complicated,

477

00:20:34,125 --> 00:20:35,666

very safety-conscious environment.

478

00:20:35,666 --> 00:20:38,916

And the COO said,

479

00:20:38,916 --> 00:20:41,333

"Oh, I mean, I will

stand in the control room

480

00:20:41,333 --> 00:20:45,250

over their shoulder and

make sure that they do it."

481

00:20:45,250 --> 00:20:47,333

And I said,

"Yeah, I hear you.

482

00:20:47,333 --> 00:20:51,125

Solid plan until the point

at which you have to go

483

00:20:51,125 --> 00:20:53,666

to the restroom or get a coffee,

484

00:20:53,666 --> 00:20:56,375

and then the whole change

agenda falls apart."

485

00:20:56,375 --> 00:21:00,750

And so getting the

human at the center,

486

00:21:00,750 --> 00:21:02,833

the human who you

have to invite

487

00:21:02,833 --> 00:21:05,416

and encourage to change,

makes all the difference.

488

00:21:05,416 --> 00:21:06,750

- Okay, Kristy, so no standing

489

00:21:06,750 --> 00:21:08,500

over people's shoulders,

490

00:21:08,500 --> 00:21:10,375

but what are the three things

491

00:21:10,375 --> 00:21:13,708

that you think every CEO

or every leader should do

492

00:21:13,708 --> 00:21:15,375

to improve their chances

493

00:21:15,375 --> 00:21:17,583

of making it to the finishing line,

494

00:21:17,583 --> 00:21:19,958

getting through that messy middle?

495

00:21:19,958 --> 00:21:24,208

- So first thing is that idea

of I am creating a change,

496

00:21:24,208 --> 00:21:26,333

and it is a product and

a service that I need,

497

00:21:26,333 --> 00:21:28,291

I need my employees to buy into.

498

00:21:28,291 --> 00:21:30,208

And my job is to create a system

499

00:21:30,208 --> 00:21:34,166

that makes it easy for them

to change and to buy in.

500

00:21:34,166 --> 00:21:36,250

So number one is the mindset.

501

00:21:36,250 --> 00:21:38,166

The second is designing a program

502

00:21:38,166 --> 00:21:40,166

that makes it very easy for people

503

00:21:40,166 --> 00:21:42,375

to have agency and participate in.

504

00:21:42,375 --> 00:21:44,708

So too often in

transformations, we like to look

505

00:21:44,708 --> 00:21:47,041

at things at sort of

that 30,000-foot level,

506

00:21:47,041 --> 00:21:48,750

sort of the investor view

if you will, right?

507

00:21:48,750 --> 00:21:50,416

This is the, the five pillars

508

00:21:50,416 --> 00:21:51,750

and how we're going to

drive transformation.

509

00:21:51,750 --> 00:21:52,833

These are the five KPIs

510

00:21:52,833 --> 00:21:54,333

that are going to, we're going to measure.

511

00:21:54,333 --> 00:21:55,916

Here's the EBITDA impact.

512

00:21:55,916 --> 00:21:56,750

And understanding that

513

00:21:56,750 --> 00:21:59,875

as we think about how does that translate

514

00:21:59,875 --> 00:22:01,750

to the employees actually doing the work,

515

00:22:01,750 --> 00:22:03,458

we need to really break it down

516

00:22:03,458 --> 00:22:05,791

into small, manageable pieces.

517

00:22:05,791 --> 00:22:08,250

So really as they're

designing a transformation

518

00:22:08,250 --> 00:22:11,291

with their leadership team,

are they designing it in a way

519

00:22:11,291 --> 00:22:13,375

that actually is about how

the employees are going

520

00:22:13,375 --> 00:22:16,666

to engage in it versus how

they want to engage in it?

521

00:22:16,666 --> 00:22:17,500

And then the third is,

522

00:22:17,500 --> 00:22:19,750

as they think about kicking

off a transformation,

523

00:22:19,750 --> 00:22:21,125

they're going to

spend a lot of time

524

00:22:21,125 --> 00:22:24,000

getting ready, preparing,

building that excitement,

525

00:22:24,000 --> 00:22:26,416

and then, as soon as it gets

out into the organization,

526

00:22:26,416 --> 00:22:28,916

you see leaders kind of

scale back a little bit.

527

00:22:28,916 --> 00:22:30,916

The reality is they

actually need to dial in

528

00:22:30,916 --> 00:22:34,791

and actually make more time

for change and progress

529

00:22:34,791 --> 00:22:36,791

and really actually

build a plan around it.

530

00:22:36,791 --> 00:22:40,833

- Okay. We've covered the so

what. Now it's the now what.

531

00:22:40,833 --> 00:22:45,750

What are the next immediate

steps leaders should take?

532

00:22:45,750 --> 00:22:47,041

Julia?

533

00:22:47,041 --> 00:22:51,125

- Number one, make clear

534

00:22:51,125 --> 00:22:53,083

and specific requests.

535

00:22:53,083 --> 00:22:56,125

This works in your personal

life as well, by the way.

536

00:22:56,125 --> 00:23:00,791

But precise expectations

are a game changer.

537

00:23:00,791 --> 00:23:05,791

The second is, where you have

a change that is struggling,

538

00:23:06,291 --> 00:23:09,083

ask yourself earnestly, honestly,

539

00:23:09,083 --> 00:23:11,625

sincerely, empathetically,

540

00:23:11,625 --> 00:23:13,541

why would anyone do this?

541

00:23:14,958 --> 00:23:18,250

Is it likely that they'll

be able to make this change?

542

00:23:18,250 --> 00:23:20,166

And if your answer to why

would anyone do this is

543

00:23:20,166 --> 00:23:24,250

because I told them to, that's

none likely to be sufficient.

544

00:23:24,250 --> 00:23:29,250

And the third is make

progress visible and positive.

545

00:23:29,791 --> 00:23:34,791

We cannot overpraise

successful progress

546

00:23:35,750 --> 00:23:39,083

and consistently

seeing the behaviors

547

00:23:39,083 --> 00:23:42,750

that we would like to have

more of in the organization.

548

00:23:42,750 --> 00:23:44,666

- Kristy?

549

00:23:44,666 --> 00:23:46,375

- I think leaders sometimes think

550

00:23:46,375 --> 00:23:49,250

successful transformation

requires extraordinary people.

551

00:23:49,250 --> 00:23:50,416

And I don't think it does.

552

00:23:50,416 --> 00:23:52,541

It actually requires

ordinary people working

553

00:23:52,541 --> 00:23:54,333

in systems that help them succeed

554

00:23:54,333 --> 00:23:56,083

in the change that we're trying to drive.

555

00:23:56,083 --> 00:23:58,833

And have you built a

system and a way of working

556

00:23:58,833 --> 00:24:01,791

that is actually allowing

people that you have today

557

00:24:01,791 --> 00:24:04,791

to be better and to change

and do things differently?

558

00:24:04,791 --> 00:24:06,916

Because what we see with

successful transformation is

559

00:24:06,916 --> 00:24:08,791

it's not rare nor mysterious.

560

00:24:08,791 --> 00:24:10,458

It's knowable, it's repeatable,

561

00:24:10,458 --> 00:24:13,166

and it's really baited based

in that sort of science

562

00:24:13,166 --> 00:24:15,333

of how humans change.

563

00:24:15,333 --> 00:24:18,500

- Fabulous. Kristy, Julia,

thank you so much.

564

00:24:18,500 --> 00:24:20,083

And thank you for joining us.

565

00:24:20,083 --> 00:24:21,000

If you'd like to get your hands

566

00:24:21,000 --> 00:24:22,541

on Kristy and Julia's book,

567

00:24:22,541 --> 00:24:25,833

"How Change Really Works:

Seven Science-Based Principles

568

00:24:25,833 --> 00:24:27,625

for Transforming Your Organization,"

569

00:24:27,625 --> 00:24:29,500

you can find the link

in the show notes.

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