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McKinsey & Company

76 facts from 19 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.

1980

A 1980 McKinsey forecast for AT&T predicted 900,000 US cellular subscribers in 2000; the hosts say the actual figure was 109 million.

“They forecasted 900,000 people would be subscribed to a cellular telephony network in the year 2000.”

Acquired · Qualcomm, 1:10:29

2022

McKinsey's first Rewired book came out about three years before this episode, around the time ChatGPT was released, and an update appeared in April.

“If you look at our rewired research, the first book came free, it came out three years ago, pretty much at the same time where Chat GPT was released, and then this April, we released the update”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:08:40

2025

Isaac Sacolick cited a McKinsey data point that IT departments were more than twice as advanced in using generative AI as other departments.

“I saw a data point from McKinsey saying that IT is more than twice a advanced using gen AI than other departments.”

Isaac Sacolick · Building trust in AI: A CIO's perspective | CXOTalk #869, 0:38:02

2025

Daniel Whitenack says Deloitte, Accenture and McKinsey are making a lot of money from AI services.

“The companies that are making a lot of money off of AI are Deloitte, Accenture, McKinsey, right?”

Daniel Whitenack · Workforce dynamics in an AI-assisted world, 0:10:30

2025

Daniel Whitenack says that in enterprise AI the firms making money have been services organizations such as Accenture, Deloitte and McKinsey, while OpenAI has been losing a lot of money.

“The ones making the money is Accenture, Deloitte, McKenzie, uh, et cetera, the the services organizations, right?”

Daniel Whitenack · Cracking the code of failed AI pilots, 0:37:56

2025

In McKinsey's annual CFO surveys, the share of respondents reporting AI investment in their finance function was 24% in 2023, 50% in 2024 and 65% in 2025, according to Davide Grande.

“In 2023, 24% of our participants said yes. In 2024, it was 50%, in 2025, 65%.”

Sean Brown · 303. How finance leaders are driving value with AI, 0:19:59

2025

Davide Grande said that the share of surveyed CFOs actively using AI in finance rather than piloting it rose from 6% in 2024 to 51% in 2025.

“In 2024, 6% were active user, in 2025, 51%. So seven times increase in finance department.”

Sean Brown · 303. How finance leaders are driving value with AI, 0:21:15

2026

McKinsey defines mega deals as those above $10 billion, which reached about $1.1 trillion in value in the first half of the year, according to Tobias Lundberg.

“deals above $10 billion is what we have defined as mega deals. And they have reached some $1.1 1 trillion in the first half of this year.”

Alex Liu · 326. M&A heading into Q4: How AI is reshaping value creation, 0:09:06

2026

Tobias Lundberg says mega deal value in the first half was up almost 140% from a year earlier and was the strongest half year on record.

“that's up almost 140% versus the same period a year ago, and it's the strongest half year that we have we've seen on record.”

Alex Liu · 326. M&A heading into Q4: How AI is reshaping value creation, 0:09:06

2026

Benjamin Houssard says a McKinsey survey found awareness of AI in upstream M&A rose to about 88 from 51 the previous year, though adoption is lower.

“You see the level of awareness for upstream now up to eighty eight, uh, fifty one point from last year, even if the level of adoption is, uh, lower.”

Benjamin Houssard · 326. M&A heading into Q4: How AI is reshaping value creation, 0:41:13

Undated

Antoine Montard states that McKinsey defines strategy as a coherent set of hard-to-reverse choices made ahead of time under uncertainty to create and capture economic surplus.

“strategy is a coherent set of hard reverse choices made ahead of time in the face of uncertainty to create and capture economic surplus”

Antoine Montard · 240. Improving strategy with AI, 0:03:06

Undated

On McKinsey's power curve of the largest companies ranked by economic profit, the middle three quintiles create almost no value.

“the middle three quintiles almost create no value. It means that markets are efficient. It is really hard to beat the market.”

Antoine Montard · 240. Improving strategy with AI, 0:03:57

Undated

About 10 percent of companies starting in the middle three quintiles reach the top quintile of economic profit over ten years.

“we know that about 10% of the companies that start in the middle three quintile end up in the top quintile over a ten-year period.”

Antoine Montard · 240. Improving strategy with AI, 0:03:57

Undated

Antoine Montard describes the McKinsey strategy method as having three broad stages, starting with designing the strategy.

“So the strategy method has kind of three broad stages. I'll go through it quickly.”

Antoine Montard · 240. Improving strategy with AI, 0:04:44

Undated

Andrea Tricoli is an associate partner in McKinsey's Strategy and Corporate Finance Practice, based in London.

“Andrea Tricoli is an associate partner in our strategy and corporate finance practice and based in London.”

Sean Brown · 240. Improving strategy with AI, 0:02:26

Undated

Bruce Delteil is managing partner of McKinsey's Vietnam office and leads its Strategy Practice in Asia.

“Bruce Delteil is the managing partner of our Vietnam office and leads our strategy practice in Asia.”

Sean Brown · 240. Improving strategy with AI, 0:01:35

Undated

The guests identify five emerging roles for AI in strategy: researcher, interpreter, thought partner, simulator and communicator.

“We see the researcher, uh, the interpreter, the thought partner, and the simulator, and then communicator as these five emerging roles.”

Bruce Delteil · 240. Improving strategy with AI, 0:11:39

Undated

Antoine Montard says McKinsey's ten tests of strategy are described in a document of about forty pages.

“And we have kind of a vertical document that that goes through kind of the logic of it. It's about forty pages.”

Antoine Montard · 240. Improving strategy with AI, 0:35:26

Undated

Antoine Montard says a colleague built an agent in about ten minutes or less that assessed a company's strategy against McKinsey's ten tests.

“it it took him probably no more than ten minutes to do that, and it's repeatable, right?”

Antoine Montard · 240. Improving strategy with AI, 0:35:52

Undated

Inside the Strategy Room had a library of more than 230 episodes at the time of this recording.

“where you can also access our entire library of more than 230 episodes.”

Sean Brown · 240. Improving strategy with AI, 0:39:22

Undated

Rob Montgomery says McKinsey has partnered with clients on nearly 1,200 transformations across 30 sectors and 90 countries.

“We've partnered with clients on nearly 1,200 transformations in 30 different sectors, 90 different countries.”

Rob Montgomery · 243. A road map to successful transformation, 0:04:00

Undated

Louisa Greco says McKinsey research over roughly the last eight years shows engaging a broader set of employees raises transformation success odds by more than three times.

“We know that when we engage a broader set of employees in the ambition, the odds of success increase by more than three times.”

Louisa Greco · 243. A road map to successful transformation, 0:11:07

Undated

Rob Montgomery says nearly half of the impact seen in McKinsey client transformations now comes from top-line growth, a large rise over 15 years.

“nearly 50 of the impact that we have seen in our client transformations comes from growth, top line”

Rob Montgomery · 243. A road map to successful transformation, 0:25:52

Undated

Rob Montgomery says McKinsey treats the first three to six months of a transformation as the window for quick wins and building momentum.

“We like to think about, you know, three to six-ish months, as you know, the initial window where we're really focused on those quick wins”

Rob Montgomery · 243. A road map to successful transformation, 0:26:54

Undated

Kevin Carmody says 68 percent of the initiatives in McKinsey's transformations are small, worth $250,000 or less, reflecting wide involvement across the organization.

“68 of the initiatives in our transformations are smaller, 250,000, uh, dollars or less, not 10 million.”

Kevin Carmody · 243. A road map to successful transformation, 0:41:58

Undated

Dickie Steele says traditionally organized companies rated their readiness to capture value from AI, digitization and data significantly lower than emerging-structure companies, by as much as twenty points.

“organizations that were more traditionally organized, um, rated their preparedness to capture value from these tailwinds of AI, digitization and data significantly, um, at lower levels than people in emerging organizations.”

Dickie Steele · 276. From strategy to performance: Building a new operating model for a new world, 0:13:01

Undated

Rich Isenberg is a former chief information security officer and a partner in McKinsey's Atlanta office.

“A former chief information security officer or CISO, Rich brings his extensive knowledge of operations, vulnerabilities, and remedies across multiple industries”

Sean Brown · 288. Securing agentic AI: A playbook, 0:01:37

Undated

The McKinsey article describes four AI archetypes: pragmatic adopters, functional reinventors, business pioneers and internal transformers.

“four archetypes are mentioned the pragmatic adopters, functional reinventors, business pioneers and internal transformers.”

Sean Brown · 297. Boards in the age of AI, 0:22:11

Undated

Lari Hämäläinen described a scenario in which a company with 100,000 employees has 50,000 employees in three years, alongside 500,000 AI agents.

“If you have 100,000 employees as a CEO today, and let's say three years from now, which is actually in our projections, a viable scenario, you might have only 50,000 employees”

Lari Hämäläinen · 300. The CEO’s agenda for thriving in the agentic age, 0:13:40

Undated

McKinsey and Company began tracking each initiative in its large value creation plans weekly about 15 years before this episode.

“some 15 years ago, we started tracking every initiative on a weekly basis for our large value creation”

David Pralong · 301. Using generative AI to conduct outside-in diligence, 0:02:55

Undated

David Pralong says McKinsey's tracking produced millions of data points on initiative value and how fast initiatives ramp up.

“we have now millions of data points about not only the value of each one of these initiatives, but also how quickly these initiatives ramp up in value”

David Pralong · 301. Using generative AI to conduct outside-in diligence, 0:02:55

Undated

Will Bundy says McKinsey's tool can take an uploaded confidential information memorandum and list the initiatives, checking management's claims against McKinsey data with citations.

“if you upload a, uh, a confidential information memorandum, it will actually that it'll actually provide you all the initiatives.”

Laura Borton · 301. Using generative AI to conduct outside-in diligence, 0:08:44

Undated

Chase Covington says 88% of organizations McKinsey talks to have launched AI or digital transformation efforts, but under 25% of those feel meaningful progress.

“88% of organizations we talk to have launched some sort of AI or digital transformation effort. Of that group, less than 25% really feel honestly that there's been meaningful progress.”

Chase Covington · 301. Using generative AI to conduct outside-in diligence, 0:10:54

Undated

Chase Covington says McKinsey surveyed 40 global general partners and investment managers and analyzed operations across 200 investment teams to assess AI's impact in diligence.

“we surveyed forty global general partners, um, investment managers, analyze operations across 200 investment teams.”

Chase Covington · 301. Using generative AI to conduct outside-in diligence, 0:14:13

Undated

Will Bundy says McKinsey's tool can turn a downloaded data room into a value creation plan in about ten minutes, covering five to six major levers.

“put together a value creation plan in about ten minutes. It's going to hit the five to six major levers, initiatives, relative sizing, typical timeline to achieve, and actual cash flow impact.”

Laura Borton · 301. Using generative AI to conduct outside-in diligence, 0:31:21

Undated

Davide Grande said that in McKinsey's experience more than 50% of the time spent on strategic planning and control goes into creating reports that nobody reads and crunching data.

“according to our experience, more than 50% of the time of strategic planning and control is typically spent in creating reports that nobody reads, crunching data, et cetera.”

Davide Grande · 303. How finance leaders are driving value with AI, 0:14:20

Undated

Andrea Tricoli said McKinsey benchmarks show organizations often lose between one and four percent of value because contract terms such as discounts, rebates and hourly rates are not reflected in invoices.

“Our benchmarks show that often organizations leave on the table between one and four percent of value in leakage because complex terms, discounts, rebates, or specific hourly rates are not always always reflected in invoices.”

Andrea Tricoli · 303. How finance leaders are driving value with AI, 0:31:36

Undated

Meagan Hill says the average transformation engages only about 2% of employees, while top-quartile transformations activate 20 to 30% of the organization.

“the average transformation engages only about 2% of employees, and the most successful top quartile transformations activate twenty to 30% of the organization.”

Megan Hill · 310. The CEO's role in transformation, 0:35:42

Undated

Mathew Lee says successful transformations follow a three-part arc of setting a high aspiration, executing, and building mechanisms to sustain the change.

“A three-part arc, starting with setting a high aspiration, then moving to execution against those plans”

Matthew Lee · 310. The CEO's role in transformation, 0:07:24

Undated

Kurt Strovink serves on McKinsey's shareholders council and leads its global CEO services practice.

“He currently serves on our shareholders council and also leads our global CEO services practice.”

Sean Brown · 310. The CEO's role in transformation, 0:00:56

Undated

Meagan Hill says McKinsey has a specific hub that studies the performance of the thousands of transformations it has done.

“we actually have a a specific hub within the firm that looks at how those transformations perform.”

Megan Hill · 310. The CEO's role in transformation, 0:35:42

Undated

Alexander Sukharevsky says fewer than 100 companies have captured more than two thirds of AI transformation value, working in two or fewer domains with a one-to-three return ratio.

“Less than hundred companies so far have captured more than two thirds of the value. They did it in two or less domains with one to three return ratio.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:00:00

Undated

Sukharevsky says companies that boosted their bottom line or overall value by at least 20% followed the same transformation journey.

“All the companies that managed to get boost of at least 20% on their bottom line or the overall value of the company actually went through this journey.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:02:32

Undated

Sukharevsky says companies that successfully transformed focused on two or fewer business domains.

“what you see that the companies that transform themselves actually focused on two or less domains, so it's really about focus.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:02:32

Undated

Sukharevsky says some companies featured in the first edition of the McKinsey book are leaders in the second edition after applying agentic AI on the same foundation.

“if you look at the companies in our book that featured in the first edition, some of them are the leaders in the second edition because now they apply agentic using the same chassis.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:09:14

Undated

Sukharevsky says McKinsey's State of AI research found successful organizations have boards that are fluent in technology.

“the organizations that manage to do so successfully have full board being extremely savvy and fluent around various technology topics.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:16:05

Undated

Sukharevsky says winning companies earn a return of roughly three dollars for every dollar invested in transformation.

“ROI is pretty much going to be one to three, meaning on every dollar invested in transformation, the return is around free dollar.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:19:31

Undated

Sukharevsky says McKinsey's analysis covered what he believes is the largest empirical sample globally, over six years.

“we looked at, I think, the largest empirical sample globally over six years, and this is what it says.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:20:33

Undated

Sukharevsky says once a company establishes the foundational chassis, its likelihood of success rises to about 80 to 85 percent.

“once you establish the chassis, the likelihood of success is getting closer to eighty, 85%.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:21:06

Undated

Sukharevsky says top-performing organizations set up governance and digital trust frameworks from day one.

“if we look at the top performing organization, the governance is properly set from day one, and another part that a lot of digital trust frameworks are implemented also from day one.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:26:54

Undated

Sukharevsky says the fewer than 100 champion companies pursued efficiency savings, top-line growth and new business models together.

“if you look at the less than hundred champions, the recipe was always the same.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:31:36

Undated

Sukharevsky says McKinsey's data show no correlation between industry and transformation success, only with leadership team commitment.

“there is no correlation to the industry, but rather to the leadership team that decided to go on this journey.”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:40:51

Undated

Sukharevsky says McKinsey's differentiator is combining value-lever understanding, domain reinvention, technology use and change management.

“Our secret sauce is the combination of few skills that allow the transformation to flourish”

Alexander Sukharevsky · McKinsey: Why Agentic AI Pilots Stall, 0:43:45

Undated

In one client pilot, McKinsey identified almost 200 concentration risks, including one provider supporting more than thirty processes.

“in in one pilot with a client, we identified almost 200 concentration risks, and we identified one provider that was supporting more than thirty processes”

Laura Webanck · 320. The digital twin: Reimagining non-financial risk management, 0:33:08

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