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Harvard Business Review
How McKinsey Plans to Survive AI (and Reinvent Consulting)
How McKinsey Plans to Survive AI (and Reinvent Consulting)
Harvard Business Review
·
31:36 · 9 thg 2, 2026
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This is just going to be that next evolution
0:03
of there'll be a whole bunch of things that a couple years ago we
0:07
did for our clients that our clients will do for themselves.
0:10
And the imperative will then be to move to the even more complicated questions.
0:14
And to your point, what are what are clients going to pay us for?
0:19
They're going to pay us to find ways to double their market cap.
0:22
and and until we get to CEOs who say, "I don't want to double
0:25
my market cap," I think there'll always be a more complicated
0:28
set of questions and opportunities out there.
0:38
So, I'm here with Bob Sternfelds,
0:39
the global managing director of McKenzie.
0:42
And Bob, thank you for being with us.
0:44
>> Oh, it's great to uh great to be here.
0:45
I'm excited to uh to have a chat with you.
0:48
So I want to start McKenzie
0:50
uh is turning maybe has turned 100.
0:52
HBR by the way we're 103.
0:54
So welcome to the Century Club.
0:57
You know how would you summarize the company's 100year legacy?
1:00
To what extent has McKenzie
1:03
created the ideas that have shaped the business world
1:06
or to what extent is it about identifying
1:09
and suggesting best practices
1:10
that come from elsewhere?
1:12
I guess I would start with
1:14
the nature of how we do our work.
1:16
And the idea is, look, we we co-create
1:18
with our clients and when we're at our best, it's um
1:22
it is it is figuring out how do we help clients get to places
1:26
they can't get to themselves.
1:28
And and so, you know, the whole notion in some ways of credit of
1:32
did you create something novel or did you,
1:35
you know, best practice
1:36
is a bit of a
1:38
maybe the way we frame is we're co-creating
1:40
with clients to help them come up with things that they may not have
1:43
come up with themselves or we might not have come up with themselves.
1:46
and and you know we we clearly
1:49
invest a boatload in proprietary IP.
1:54
We invest over a billion dollars a year in innovation,
1:57
new thought, new ideas.
1:59
McKenzie Global Institute for example,
2:01
which is a bit of our independent
2:03
research tank, but we've now created Mackenzie Health Institute.
2:06
I think if you do look at their history,
2:09
a lot of that is novel thinking.
2:12
you know, the most recent looking at a a global balance sheet
2:16
and and kind of saying how's the world when you look at assets and liabilities.
2:20
That's not a best practice.
2:22
That's a that's you know new new thought.
2:24
But equally part of the reason we stay global as an operating model
2:29
is then at the more micro levels,
2:32
the clients that we serve
2:34
don't want to understand
2:36
what the leading edge innovation
2:38
is in their particular country.
2:40
They want to understand
2:41
innovation around the world
2:43
and perhaps even cross
2:45
sector and that is part of our model.
2:49
So I'd probably say it's
2:50
if I had to guess it's probably half half on this around where are
2:54
there truly novel co-creation
2:57
and where is this idea of
2:59
um of figuring out how do you bring
3:02
innovation around the world to clients who may not have access to that innovation
3:06
based on their you know the reality that they're in.
3:09
So, one area of innovation
3:10
obviously is AI and I'm sure you're advising companies all the time on how
3:15
to adapt to an AIdriven world.
3:17
I I want to talk about that, but I I'm interested in the internal
3:21
discussions that are happening
3:23
at McKenzie about this.
3:24
You know, to what extent is AI
3:26
shifting the economics of your industry, headcount,
3:29
pricing, productivity, you know, are margins improving?
3:32
Are they under stress?
3:33
I mean, how what are the internal conversations
3:35
about AI for your business? AI.
3:38
We haven't talked about that at all. No, >> you should. It's really cool.
3:42
>> Can Can you educate me on it?
3:43
No, I'm just uh I'm just kidding.
3:45
Um I mean, it's hard to have a conversation
3:48
in any context right now
3:51
um that doesn't link back to
3:53
to some form of AI.
3:55
You know, I think this question around
3:57
AI and how how it impacts
4:00
McKenzie, there's kind of two
4:04
two sides of that coin.
4:05
there's a a client-f facing side and then there's a what are the implications
4:09
on McKenzie and kind of the way that I summarize it is
4:13
there's a unique moment to help all of our clients
4:17
reimagine themselves leveraging this technology
4:20
and to be able to do that we have to rewire ourselves
4:23
to be able to deliver that
4:25
and uh I may
4:27
just start with a bit of
4:29
you know what what I'm actually hearing
4:31
from clients around the world
4:34
across all industries and across across all geographies
4:36
and you know I I really hear in the truth room maybe two things
4:41
on the one hand
4:43
an enormous belief in the potential
4:45
for this wave of technological
4:49
change and and that's everything from
4:52
enormous productivity gains in
4:54
areas like customer care or
4:57
you know back office processes
4:58
but also to growth things you know if you think about
5:02
radically shortening the time of drug discovery
5:05
and what that actually means for longevity
5:07
and and and life and that's topline growth.
5:10
So so folks are excited
5:11
and and they're they're
5:15
but at the same time
5:17
from the the conversations that I have with with
5:22
you know, they'll often say, "Hey Bob,
5:24
so do I listen to my CFO or my CIO right now?"
5:27
My CFO is in my ear that
5:31
we're spending a lot of money on technology,
5:33
but we're not yet seeing
5:35
enterprise level value from this.
5:37
And so, do we really need to be
5:40
at the cutting edge or why can't we be a fast follower?
5:42
Let other folks figure out where this is and then we'll adopt quickly because
5:46
it's a lot more efficient to be a follower than a than a leader.
5:50
CIO is saying, "Are you crazy?
5:52
This is one of those moments and if we're not in the lead, we're
5:56
going to get disrupted."
5:56
You know, we spent a lot of time looking at
5:59
at least what we think the answer is here.
6:01
And and it's interesting.
6:03
I know we spent a lot of time talking about technology,
6:06
but what we're finding is
6:08
half, if not more
6:10
of the secret sauce
6:12
is organizational change as opposed to technology implementation.
6:17
This is for large large enterprise.
6:20
And you know, it's things like,
6:22
well, what does your look like after you're implementing data?
6:25
Could you have, for example, a much flatter
6:28
organization that cuts out a lot of middle layers and makes your organization faster?
6:33
When you think about really complicated
6:35
workflows, think about a a mortgage process.
6:37
You got all these steps, you know,
6:40
credit scoring, collection, after service, etc.
6:44
Those are all departments
6:45
in a in a bank.
6:47
Well, why do you have four or five departments in a process
6:50
if you can really enable this through AI?
6:52
Can't you break those walls down?
6:54
And so we're spending a lot of time thinking through
6:57
not only what's the strategy and how do you implement,
6:59
but how do you change the organization?
7:01
How do you rewire the organization
7:03
to realize the value and and if you can get that right, all of a
7:06
sudden the CFO and the CIO are actually on the same page.
7:10
But we're finding that's harder and it's taking longer than people thought.
7:14
And so I do think we're going to be in this period where
7:17
really enterprise fundamentally changing themselves. Yes, enormous potential.
7:21
It's going to take a little while to get there.
7:23
So then you kind of say, okay, what does that what does that mean for McKenzie?
7:26
Which is I think where you you started the question, Audi.
7:29
And it means a couple things for us.
7:33
One, um, you know, we
7:36
we're applying this to ourselves,
7:38
and you know, I often get asked,
7:40
how big is Mackenzie?
7:41
How many how many people do you do you employ?
7:44
And um I I now update this almost every month, but my latest answer
7:49
to you would be
7:50
60,000, but it's 40,000
7:53
humans and 20,000 agents.
7:56
And a little over a year and a half ago, that was 3,000 agents.
8:00
And and I originally
8:01
thought it was going to take us to 2030
8:04
to get to one agent per human.
8:06
I think we're going to be there in 18 months.
8:08
and we'll have every
8:10
employee enabled by at least one or more agents.
8:14
And we're going to have a workforce
8:16
that is human and agentic.
8:18
And how do we how do we kind of navigate that?
8:21
That's kind of one piece of of
8:24
what are the assets and and
8:25
technologies that we're building in ourselves.
8:28
The other big piece is how does it change our model?
8:31
We're coming around to the conviction that
8:34
we're migrating pretty quickly away from
8:37
let's call it pure advisory
8:38
work which was a lot of the origins of of our firm and kind
8:43
of a fee for service model etc.
8:45
And what's it moving to?
8:47
It's moving to much more of an outcomesbased
8:49
model where we say look let's
8:52
identify a joint business case together
8:55
and we will underwrite the outcomes of that of that business case
8:59
and and it aligns our interests with our clients a lot more
9:04
and I think will be the way of the future.
9:06
Now, I mean, AI is is going to get better, right?
9:08
We're still in the early
9:10
early phases of generative AI.
9:12
You know, if if technology
9:13
can continue to commoditize,
9:16
you know, even the kinds of analysis and insight that, you know, a McKenzie
9:21
has long provided, you know, what what will clients actually be pay be paying
9:25
for when they can probably do a lot of that
9:30
>> The kind of problems that we have tackled with our clients over a hundred
9:33
years has not been static.
9:35
it has changed radically
9:37
and uh even you know I'm now considered a dinosaur
9:42
in our firm because I'm a little over 30 years with us
9:45
but the stuff that I did when I joined as an associate
9:50
32 years we wouldn't consider even doing right now why
9:56
because clients do that stuff themselves
9:58
and we are solving
10:00
much more complicated interconnected
10:03
questions with our clients
10:04
And I think what this is going to then mean is this is just
10:08
going to be that next evolution
10:11
of there'll be a whole bunch of things that a couple years ago we
10:14
did for our clients that our clients will do for themselves.
10:18
And the imperative will then be to move to the even more complicated questions.
10:22
And to your point, what are what are clients going to pay us for?
10:26
They're going to pay us to find ways to double their market cap.
10:30
and and until we get to CEOs who say, "I don't want to double my market cap."
10:34
I think there'll always be a more complicated
10:36
set of questions and opportunities out there.
10:38
>> What is the evolving
10:39
skills profile then of a of a management consultant?
10:43
You know, what are you
10:44
and do you even know yet?
10:45
I mean, what what are you looking for in new hires?
10:47
And that must be evolving pretty quickly.
10:49
>> I might frame it in
10:52
what are some things we're confident about now
10:54
and then what are some things we're exploring.
10:56
When I came into this role and it was a little over four years
10:59
ago, I asked our talent attraction
11:01
team, "How we doing on attracting talent?"
11:04
And and I got a we're doing great, Bob. We're doing great. I said, "Why?"
11:08
And said, "Well, you know, we we get over a million applications
11:11
a year and we we hire anywhere between 8 and 10,000 people and and
11:15
even the million aren't a normal distribution, right?
11:17
It's there's some of the brightest minds in the world that are applying.
11:20
So effectively, what's the problem?
11:21
Why are you asking me?
11:22
You know, let me let me go back and do my job."
11:25
And and I kind of kept asking the question, but
11:29
well, how many profiles
11:30
are we are we really looking for?
11:32
What what are we systematically screening out?
11:34
And and it turned out that really when you bo it down worldwide,
11:39
there's really only 500
11:41
pathways that would lead you to McKenzie.
11:44
And that wasn't tying
11:46
with what our own organizational
11:48
research was saying that the half-life on skills was getting shorter, that people were
11:51
too focused on paper ceiling,
11:53
did you have the right credentials?
11:55
And so we we actually applied analytics
11:58
on ourselves and took the last 20 years of data and said
12:02
what are the skills and characteristics
12:04
that are most likely to make partner in McKenzie
12:06
because that's it's not perfect but it's kind of a marker of of success.
12:10
You know only one in six
12:11
hires make uh make partner.
12:14
And it turned out we had some bias in our system.
12:17
I'll just give you I mean it was McKenzie so we had like 50
12:20
different implications but I'll give you the biggest three.
12:24
One was that we were too focused on did you have
12:29
perfect marks versus did you have a setback and recover
12:33
and the applicant who had a setback and recovered
12:37
was more resilient and more likely
12:40
to be a higher probability of making partner in McKenzie
12:43
and we weren't screening for that.
12:44
So we've changed the process to look for
12:47
resilience in the in the application process.
12:50
It may sound shocking, but we weren't indexing
12:53
enough had you had real experience
12:58
in a significant way working with others.
13:01
Fundamentally, we're about helping our clients change.
13:04
And you know, if you've worked if you've done a team sport
13:08
or if you've worked in retail,
13:10
you know, working your way through college, you've had to engage with others.
13:14
and it's built a skill,
13:16
a human-touman skill that
13:18
um we're now indexing a lot more on.
13:20
And and then the last one was um was interesting.
13:25
Did you have the aptitude
13:27
to learn new stuff
13:30
versus had you mastered the subject that you chose to study?
13:34
And uh my my youngest guy used this one against me actually when he
13:39
was um he was ch middle guy was changing his major for the third
13:42
time and I was a little frustrated with him and he's like but dad
13:45
you published a paper that said you know if you have the aptitude to
13:47
learn new stuff and I'm like yeah but you have to do well
13:50
in the subject that you go to
13:53
send send his resume to me.
13:54
>> It's the only time
13:56
>> it's the only time he quoted me.
13:58
I was like really?
13:59
But um but it did get us to then change our assessment techniques where
14:04
we purposely create an environment
14:06
where you will no human in the world will have any pattern recognition in
14:11
this environment and we figure out how well do you do in an environment
14:15
where you have no pattern recognition.
14:16
You just have to go figure things out.
14:18
So those are some of the skills now
14:20
we know we're moving to.
14:23
We've launched more of an exploratory
14:25
look now going forward where you say,
14:27
"Okay, but if everyone gets super human
14:30
with these AI tools, what do you want to add on top of this
14:33
resilience, teamwork, ability to learn new stuff?"
14:36
That part I just told you I feel pretty solid about.
14:38
This part I'm going to tell you
14:40
is is places we're more in exploration
14:42
mode and just be be honest with you.
14:44
Uh and one of them is um well, what do the models not do well? Right?
14:49
What do the models not do well?
14:51
one, they don't aspire.
14:54
They're not good at setting the right aspiration level.
14:58
And so when you think about what great leaders
15:01
do is they help an organization
15:04
set the right as what should we aspire to?
15:06
And so how do we start to look for
15:08
and develop the skills of leadership?
15:11
Leadership is going to be durable in a postAI
15:14
world because one of the great things leaders do is they help set an
15:17
aspiration and get people to stretch.
15:19
So we're we're kind of focusing on that.
15:22
The second is judgment.
15:23
And you've seen time and time again the these models don't there's there's not
15:28
truth in the model.
15:30
There's not judgment in the model.
15:31
Humans need to impose those parameters.
15:35
So how do you build judgment and how do you build that capability?
15:38
And then maybe the the last one we're we're we're spending a lot of
15:42
time on is um
15:44
the models are inference models.
15:45
They're great at a linear approach to problem solving,
15:49
which is kind of what we've been teaching for the last hundred years.
15:52
What they're not great is
15:54
discontinuous leaps, truly novel thinking.
15:58
And so we're starting to figure out where
16:00
are backgrounds that are going to be more creative
16:03
to come up with things
16:05
that aren't about the next logical step, but are about a discontinuity.
16:08
And so we're going back to liberal arts degrees and kind of saying, hey,
16:12
you know, let's come back to some of the things that might have been
16:15
dep prioritized in the past
16:17
to see if we can get a little bit more creativity.
16:19
We've sort of looked looked back, we've looked forward, you've talked about the some
16:22
of the celebratory stuff that's going on.
16:25
I need to ask though, you you've also had, you know, your share of
16:28
un unwelcome publicity in recent years.
16:30
And I'm talking about Oxycontton,
16:33
bribery, bribery charges in South Africa, conflict of interest accusations
16:37
uh in the US and elsewhere.
16:39
How do you account for all of that?
16:41
How do you look at what happened and and why?
16:43
Well, I'm glad you asked and you know this has been
16:48
I think it's been a real soularching
16:50
for us starting about
16:53
four or five years ago
16:54
of um really two questions.
16:58
On the one hand,
17:02
where should we be more humble
17:05
and and learn from our mistakes
17:08
and at the same time
17:09
where should we be c more courageous
17:12
and just say look
17:15
we disagree with you and
17:17
we're even though we'll face criticism
17:19
we're going to push back because that's what we believe in.
17:22
And and let me kind of parse each of those.
17:24
you know, look that some of the ones that you mentioned
17:29
fall clearly in the in the humble camp.
17:31
And I think some of the great learnings that we had if I just
17:35
take take two in particular
17:38
the work with opioids
17:39
and our partnerships in South Africa
17:42
you know what we learned is
17:45
that we have to have a higher diligence
17:48
around client selection and
17:51
we put in place a framework
17:53
that is a really robust
17:56
assessment now that looks across every aspect from
18:00
the country, the topic, the institution,
18:03
the individuals, and the operating environment
18:06
to say, is this a client that we actually want to bring in to the firm?
18:11
And and so one of the languages that I've used with our partners, and
18:14
you know, it's hard to drive change in a partnership
18:16
is um you all grew up with the idea that one of the privileges
18:21
of a partner is to commit the firm.
18:22
And I'm not saying that's not the case anymore,
18:25
but you don't do it alone.
18:26
You do it with risk professionals.
18:28
and and we invested about a billion dollars.
18:30
I brought in the head of um
18:33
internal audit from Apple, the head of compliance from Walmart
18:38
to basically kind of modernize
18:40
us around these processes.
18:42
And it's why I also said, look, we apologize.
18:45
We got those wrong.
18:46
And but we don't want to set out just to remediate the problem.
18:50
We want to set out to try
18:52
and set the standard for professionalism for our industry.
18:55
And so I think that is an important lesson of
18:58
How do you learn from your mistakes?
19:00
Stay humble, but not seek to just repair them, but seek to actually make make yourself better.
19:06
And we've had a lot of learnings around that.
19:08
Mackenzie has learned a ton from this, and we're setting out to make ourselves better.
19:13
And and one of the things that I've tried to open myself up to both
19:16
to regulators and to clients is look, these are the new protocols we put in place.
19:21
Do you have any ideas on how we can make them better?
19:23
Because even what we've put in place, I'm not sure we're ever going to
19:26
be done on this front.
19:27
So, I just wanted to close the loop on that.
19:29
Like, I'm obsessed with
19:30
we got to be a journey to try and aspire to set the standard
19:33
for professionalism for our our our
19:38
But then, as you say, look, the lifeblood
19:40
of what we do and it's why
19:43
so many great talent from around the world come is the kind of impact
19:47
that they can have with clients.
19:49
I mean, from the outside,
19:51
you know, it looked like McKenzie was committed to growing as quickly as possible
19:54
in markets all over the world,
19:56
you know, with with by design relatively little centralized oversight.
20:01
And again, from the outside,
20:03
that sounds like a a recipe for trouble.
20:05
Is that is that a fair analysis?
20:07
>> Uh, no, not really.
20:09
It's easy to kind of say that are you from the outside, but the
20:13
truth of the matter is you have
20:15
three or four forces that are going on
20:18
you know, on the one hand, there's a
20:21
an on the side of um of media, governments
20:27
for for all institutions.
20:29
And um and so one of the things that,
20:33
you know, that we learned through this process is
20:36
there are some things that we're going to be criticized for that
20:40
that we're just going to push back on.
20:41
We got heavily criticized
20:43
for our work in hard to abate sectors
20:46
on their transition issues
20:48
and it was you know Mackenzie's
20:49
accelerating climate degradation etc.
20:52
And we pushed back and said no look if you're going to be committed
20:55
to climate transition you have to work with the hardest to abate sectors.
20:58
It's just naive to
21:00
say that you're going to solve this problem without that.
21:02
And so there's a portion of this that was rooted in
21:06
just more transparency, more criticism.
21:09
and I'm trying to build a bit of thicker skin.
21:12
There's a portion which was an evolution
21:16
in our organization model that said
21:18
look as as we do get bigger
21:21
and as the world gets more complicated
21:24
and more requirements are thrown in,
21:27
we do need tighter compliance standards.
21:32
And um this is where
21:35
the idea that we should have the same
21:39
compliance and accountability standards as a publicly traded company
21:43
even though we're not publicly traded
21:45
was I think one of the greatest
21:48
changes that we've been through in the last six years.
21:52
And growth has never been our objective function.
21:56
Um we're privately traded.
21:57
We don't have quarterly earnings.
21:59
You don't see McKenzie
22:00
talking about oh we had revenue growth of this or that
22:04
because the ethos internally
22:07
is that we're a profession not a business meaning that we want to put
22:10
our clients interests ahead of ourselves
22:14
and the objective should be are we doing distinctive
22:16
work versus you know any kind of work
22:19
but without the right controls
22:21
you can't guarantee that
22:22
and so one of the things I think we learned is even though we
22:25
had that as our ethos and the objective function was never grow at all cost.
22:29
If you don't put in place compliance,
22:32
you're not going to actually be able to enforce those standards.
22:35
And and it's painful for a partnership to give up some of that
22:41
But I think it's one that we now have pretty immediate.
22:45
You you never get 100%
22:47
uniformity in a in a partnership.
22:49
But I think there's pretty good agreement
22:50
that um these things have made us better and it's worth giving up that
22:55
autonomy to actually preserve the integrity of the
22:59
>> I'll throw one more, you know, sort of critical trope your way, which is,
23:03
you know, that people would say consultants
23:06
prescribe frameworks but don't have to live with the consequences.
23:09
How do you ensure that McKenzie's
23:11
advice is more than a PowerPoint strategy?
23:14
You know, that it creates
23:15
real lasting long-term >> I hope we get out of PowerPoint
23:21
entirely at someday, and I say that with love to Microsoft,
23:24
but um but it's
23:25
it isn't providing a unique insight.
23:31
It goes back to this notion of
23:34
what we really aspire to be is to be impact partners with our clients
23:38
and um we're on a change journey
23:41
of moving quite frankly from a model that was advisory
23:46
to one that um underwrites
23:48
outcomes and and today Audi about
23:51
a third of our revenues
23:53
total are underwriting outcomes.
23:56
So, it's not, hey, you handed me a PowerPoint, great.
23:59
It's we collectively signed up for this outcome together,
24:03
and we're tied on this journey all the way through until that impact is delivered.
24:08
My hope is that that crosses a majority of the revenues by the time
24:12
I'm done being the global manager
24:15
>> We've been around 100 years, you've been around 100 years, we're all presenting important ideas.
24:20
Uh, there are others as well.
24:22
And yet, this is hard, right?
24:24
Running a business is hard.
24:25
Nobody really has has cracked the code forever.
24:29
Where do you think leaders
24:30
most consistently, you know, get things
24:33
>> I think there is
24:35
some mix of a couple things that
24:38
are, at least in my mind, increasingly important.
24:41
You know, one is this um
24:44
this hunger and thirst
24:48
to acquire new information.
24:50
And whenever you get too confident,
24:53
too I think change for the negative is going to come.
24:59
And and so how do you have this
25:01
almost ruthless quest for
25:05
let me continue to question new things and and maybe also
25:09
from all levels in the organization.
25:11
Often the best ideas
25:13
are embedded somewhere lowered out.
25:16
The second and Audi you kind of linked it when you talked about both
25:19
of our organizations is
25:21
how much do you do this yourself
25:23
versus do you think about
25:26
and I think increasingly
25:28
we're seeing when people collaborate
25:30
across the value chain
25:32
etc you you find
25:34
disproportionate gain and yet our organizations
25:36
aren't geared to collaborate well right we're just not and so
25:41
thirst for new a focus on on collaboration
25:46
And then finally, I would say, and maybe this is kind of a sign
25:50
of the times, maybe not, but um speed matters.
25:54
You know, one of the things that we've we've studied to death is
25:58
um faster organizations outperform
26:01
slower organizations even if they make more mistakes.
26:04
And yet, we're not wired to do that.
26:06
There's such risk aversion in large enterprise.
26:10
If we could lean in a bit more to that, I think great things happen.
26:13
So on the issue of management, what
26:15
what seems to be fundamentally
26:17
different today, you know, versus
26:19
how companies have to adapt to,
26:21
you know, jolts in geopolitics
26:23
or or with technology,
26:25
you know, what are you seeing in terms of kind of new management paradigms
26:28
that are taking shape today?
26:30
>> I kind of look at it from the lens of the discussions that I
26:34
have, which is what are CEOs focused on, right?
26:37
What are what are some
26:38
big topics right now that
26:40
that are occupying the minds of senior management teams and
26:44
their discussions both amongst themselves and and and
26:47
with boards and and as you can imagine
26:50
that that varies based on where you sit in the world.
26:53
But there are some themes
26:55
to your question Audi that seem to be transversal.
26:59
I'd be lying if one of the themes wasn't one of the ones that
27:02
we talked about, which is how do I get value from this technology,
27:06
you know, and and what is everyone else doing because this is hard.
27:09
And so I would put that as one of the the themes of how
27:12
do I transform my enterprise
27:14
through this this revolution
27:17
in technology that we're seeing right before our eyes.
27:19
The second big theme is
27:21
um how do I build more
27:24
institutional because I'm increasingly
27:28
I'm talking now in the in the guise of a CEO
27:31
of the mind that unfortunately
27:33
things will never go back to how they were
27:36
there's going to be a world of continuous
27:38
shocks and so in a world of continuous
27:41
shocks do I have enough institutional
27:43
resilience in my organization
27:46
and when you burrow under that
27:49
you know what what folks often say is
27:53
I need I like sports I'll give you a sports analogy I I need
27:56
to play offense and defense at the same time.
27:59
So, I need defense
28:01
that I need enough buffer,
28:04
cushion to be able to withstand
28:06
something that I don't see coming.
28:08
But I also can't just play defense.
28:11
I need some capacity
28:12
to take some bold bets
28:14
even when I may be getting hit with exogenous shocks.
28:18
Can I play offense and defense at the same time?
28:20
is my simple version of
28:22
how do you build um institutional resilience?
28:25
And then maybe the last one, if I were to just give you three,
28:28
is um I haven't met a CEO yet
28:33
that thinks that their organization model is perfect. Haven't met one.
28:38
And you know, a lot of the
28:40
the seinal thinking actually comes from some stuff.
28:44
I'm going to date myself here, but I told you I was doing history.
28:47
A 1959 paper in HBR
28:50
by Gil Cle was a this was before he became a GMP.
28:55
He was one of my predecessors,
28:57
but it was about
28:59
creating a global organization
29:01
and it was the precursor
29:02
thinking to the matrixed organization.
29:07
And if you kind of look at almost every large enterprise
29:10
today, there is some version of a matrixed organization.
29:14
And I hear different
29:16
tension points from CEOs
29:18
about why their org
29:20
is one of the bottlenecks
29:21
in getting done what they need to get done. It's too slow. It's too cumbersome.
29:26
I can't resource reallocate.
29:27
It doesn't help me with complicated geography decisions.
29:31
Whatever it may be, Audi,
29:32
I hear a lot of questions about what should my future organization model be?
29:37
>> So, in 10 years time, what would you like McKenzie to be known for
29:40
that it is not known for today?
29:42
I think it's got to be a mix of
29:44
what do I hope we're still known for
29:47
and then what might be some new things, right?
29:49
I because it's not going to be just
29:52
stuff that McKenzie isn't known for today.
29:54
I I hope the part that it's continued to be known for
29:59
is um leadership factory of the world, right?
30:02
And and one of the things that's been very exciting is
30:05
no matter how long folks stay with us, they tend to do pretty well wherever they go.
30:10
and and you know we produce more CEOs than any other institution in the
30:14
world and I hope that's still the case in 10 years our are folks
30:18
coming to us and
30:21
you know sorry this is just my direct language you know maybe the experience
30:24
isn't easy and and maybe it's pretty hard and they got a lot of
30:27
tough feedback but do we make you a better leader no matter how long
30:31
you're in Mckenzie 2 years 30 years but do you leave Mackenzie a better
30:35
I hope that remains
30:36
I hope the part that
30:38
is new to your point is something that's inflight
30:42
today but I think not really well known
30:44
which is we complete
30:46
this journey from being an adviser to an impact partner
30:51
and that McKenzie is not known for hey they gave me great advice but
30:55
you know if it worked
30:57
that was because they were smart and if it didn't work it's because I
30:59
didn't implement uh which is the you know the joke right but as it
31:03
moved to you know what
31:05
we designed a business case together and these guys underwrote the same outcomes that
31:09
I took to the board
31:10
and we went on this journey and
31:12
um we kept at it until we got to someplace I didn't think I could get to.
31:16
I think that's the the part that I'd love to
31:19
land fully in this next decade.
31:22
>> Bob, thank you very much for for being here.
31:24
That was a great discussion and congratulations on turning 100. >> Thank you. I enjoyed it.
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