Motley Fool Hidden Gems Investing - Interview with IBM CFO Jim Kavanaugh
Episode Date: March 1, 2026AI, hybrid cloud, and quantum - three big shifts happening at IBM. Motley Fool co-founder Tom Gardner and Motley Fool contributor Matt Frankel recently talked with IBM CFO Jim Kavanaugh about the new ...IBM. Host: Tom Gardner, Matt Frankel Guest: Jim Kavanaugh Producer: Bart Shannon, Mac Greer Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement.We’re committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode.Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices
Transcript
Discussion (0)
Over the last three-plus years, we've created more value for our shareholders than the prior
111 years combined.
That was IBM CFO Jim Cavanaugh.
I'm Motley Fool producer Matt Greer.
Now, Motley Fool co-founder and CEO Tom Gardner and Motley Fool contributor Matt Frankel recently talked with Kavanaugh about the new IBM and about what AI means for IBM's future.
Now, I should note that this interview was recorded on February 10th, prior to the big decline in IBM's stock price over concerns about Anthropic's new COBOL coding tool.
Hope you enjoy the conversation.
well hello fools we're so excited to spend the next half hour or so with the chief financial
officer of ibm jim cavanaugh and matt frankel our hidden gems investment analysts helping out
throughout jim thank you so much for this time great thank you tom i appreciate you having us
here and looking forward to an engaging discussion with both of you let's hope we don't let you down
we're so excited about this i will say for investors of the molly fool we have eight
recommendations of IBM. Those investments have done quite well for us. We take a very long-term
perspective with our investment strategy. So we're always looking to hold our investments for at
least five years. Obviously, there are so many transactions in the marketplace and so much
excitement about trading and sports betting and all the other things that people get drawn into.
But we're very convinced that the best returns come in the equity markets to those who find
businesses that are making improvements, solving the problems of the world, generating cash flow
from it. And so it is within that frame that we begin our conversations. I'll just start, Jim,
with maybe the standard question you might expect that investors or some investors may still think
of IBM as legacy services and hardware versus software, AI, and all of the R&D investments
that IBM has been making. But what would definitively change that perception, do you
think? What milestones should investors be watching as proof that we have a real transformation afoot
here. And it's that couple of years in at least. Yeah. Well, thank you, Tom. I appreciate it. And
I think that's a great place to start because we today at IBM, we firmly believe we're a
fundamentally different company than what we were five, seven years ago under Arvind's leadership
now as he's taken over the reins of the IBM company. But we've embarked several years ago
on a major strategic transformation that I would argue was all about reinventing IBM.
It was everything, Tom, from portfolio optimization and a bunch of moves around that I'm sure we could
talk about to underlying fundamental operating and business model transformation to arguably
the most important piece of what Arvind has really embedded and instilled in IBM, a cultural
transformation. We are a very different company. And it starts with our strategy, a very focused
strategy around what we believe are the three most transformative technological shifts that
we're seeing today. Hybrid cloud, AI, and emerging right now and becoming reality very soon,
quantum. And if you take a look at it, we have done a ton of work around building a software-led
platform-centric company to capitalize on those three strategic shifts. What a very important
integrated value proposition of infrastructure. So yes, we still have a infrastructure led by
the most enduring platform mainframe, but we also have a software business that we could talk about
and a consulting business that brings an integrated value proposition together that has a multiplier
effect of every time we land a platform dollar. Now, to your point, what is it going to take?
Well, let's just put this in perspective. You've been following us and we really appreciate
the recommendations from you and the team overall. Your trust, your confidence, and the investment
overall in our great company. But what we've done over the last handful of years, we've taken a
company that was in structurally declining portfolio growth, incrementally dilutive margins,
and a free cash flow engine that was stagnant at best to declining. And over the last three plus
years, we have built a durable, sustainable revenue growth model. We've improved our operating
margins over the last three and a half years by a thousand basis points. And we have basically
almost two and a half times our free cash flow, five plus billion dollars of growth over the last
three years. And by the way, the market has rewarded us on capitalizing on that. Put it in
perspective, over the last three, five years, our TSR is about 2x the S&P 500. And it's well above
the S&P tech over the last three to five years. And IBM, Tom, as you know, you've studied us quite
well. We just celebrated our 114 year anniversary. And over the last three plus years, we've created
more value for our shareholders than the prior 111 years combined. Hit all-time stock price,
all-time market value, all-time enterprise value overall. So now you say, well, where can we take
this company going forward to your question? Well, we laid out at our investor day last year
in February, about a year ago to almost a day here today. And we said that we were going to
fundamentally build the next leg of our shareholder value creation model that is built on three
pillars, accelerating this revenue growth even faster in this company, five plus percent led by
double digit growth in our software book of business. Two, continued operating margin leverage
about 100 basis points per year. We think we've got significant headroom still to go. And three,
a free cash flow engine that is going to grow faster than revenue, expanding free cash flow
margins each year that creates investment flexibility. You bring all that together
in the way I kind of summarize it to investors, our investment thesis, higher revenue growth,
higher operating margin company, strong free cash flow yield, high return on equity,
and a very attractive return to shareholder program with our dividend policy. That's kind
of how I would sum up the beginning of this discussion, Tom.
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This is going to be a bit of a walking tour or a pub crawl because we're going to go in a couple
different directions and return back, circle back to some points you've just made around
productivity and about change management and the culture at IBM today and the changes that
have emerged over the last couple of years. But I want to turn right now to what's happening with
AI, agentic AI and IBM's business. I've bundled three questions together in one. In fact,
I had these three questions and moments ago, I just turned to GPT and said, let's put it into
one question. Let's see how well it did with this. Jim, how does organizational disruption
from agentic AI compare with earlier technology shifts like cloud or mobile where the tools
evolved but headcount and core roles largely stayed the same at companies? And now here's
where we're getting the blended question. So how is this disruption different than cloud or mobile
and are clients finding that effective AI adoption requires rethinking their team structures and
their roles rather than just layering an AI onto existing workflows? And if so, third part,
what share of IBM's consulting engagements include AI-driven workforce transformation
or change management? How does that all weave together, if you can, three questions into one?
Okay. Well, you'll have to help me because I'm actually, as a CFO, I'm not very good at
multiple part questions, as you know, from our earnings calls. But I'll revert back to you and
you can refresh my memory. But let's take your first one, right? And then we'll go from there.
What is in the history of the information technology industry? What has technology
always been? It is a way to drive productivity and a source of competitive advantage. I would
argue for worlds, economies, industries, society at large. This next evolution of agentic AI
is going to be, and I believe the most powerful form of competitive advantage and productivity
that we will ever see, or let me personalize, I'll ever see in my professional lifetime overall.
But if you go back, Tom, and you look at the client-server technology shifts, the advent of
the services industry, the middleware era, to the internet, to the globalization era,
to most recently, 10 years ago plus, the cloud explosion. Technology has always brought
competitive advantage. It's always brought more productivity. Read that, GDP. That's why it's the
second most highest contributor to gdp behind health care and i think this is going to be the
same thing now so i think your second question had something to do i think around labor or human
capital etc i think around technology and gen ai gen ai will influence every workflow every job
every skill in every industry, without a doubt. By the way, revert back to your first part A
question. In all of those technological inflection shifts that have happened,
we have gotten more GDP growth. We have gotten more labor and human capital growth.
Is it in the same areas and disciplines? No, because the value equation has to change.
New industries were created.
New markets were created.
New companies were created.
New skills, new job disciplines were created.
And that's the evolution, I think, naturally of what technology does.
I think the same thing is going to happen with AI overall.
AI will influence.
Now you bring it back, and I think I remember your third-party equation around consulting.
By the way, I would argue today that is a huge differentiator in the IBM company because we are the only integrated information technology company that brings an innovative tech stack across hardware, software, services, platforms, AI, hybrid cloud, quantum with a consulting business at scale across 175 countries that drives platforms.
adoption and scale overall. I will tell you in AI, let me bring it home to myself, because not
only as CFO, I have the fiduciary responsibilities for the company. I also have been entrusted by
Arvind and the board, everything from the strategy to the portfolio, to all of the operations of the
company. So when you think about how we're deploying AI to productivity, this is tough work
to reinvent a company, it requires you to fundamentally change and rethink how you run
workflows in a company. How do you run HR? How do you run supply chain? How do you run procurement?
How do you run finance? How do you run sales development optimization? The consulting aspect
of bringing industry domain knowledge and strategy, technology, business consultancy
is essential, I think, for companies because companies to get the scale and value realization
of AI, they have to fundamentally change the way workflow gets done. Yes, it starts with data,
but it's all about workflow optimization and it ultimately is going to change operating and
business model. So consulting plays a very important role. Hopefully I kind of touched
your three if I vaguely remember. You nailed them. You nailed them, Matt.
All right. Well, I'm going to do kind of what Tom did and combine two of my questions. And it's
because the first one's short. So this is definitely just a financial question. In your
Q4 earnings, you reported that your AI book grew by $3 billion to $12.5 billion, I think was the
total. So just for investors watching who might not know exactly what that represents, can you
break down what that means and how investors should think about its growth. And the second
part is how does the acquisition of Confluent, how does that play into your AI strategy from a
long-term perspective and how will that strengthen that number even further? Sure. I mean, we're
extremely excited about the Confluent. If you hopefully can see over my shoulder, we have a
little of the props around some of the acquisitions and capabilities, but I'll come to Confluent here
in a minute. First around the AI book. First of all, IBM deploys enterprise AI. We're an enterprise
company that improves the economics around real work, boosting productivity, driving increased
innovation, starting and driving competitive advantage, as I talked about technology,
and it's also fueling growth. Our book of business, we exited 2025, inception to date,
so call that almost two years, $12.5 billion book of business. By the way, in the quarter,
it was north of $3 billion, to your point, so thank you. Underneath that, it's really made up
of, again, platform model, because we participate in all facets of models, software, agents,
assistance, orchestration. So software book is about, excuse me, north of $2 billion.
By the way, in 2025, up nearly 80% overall.
The remaining, call that north of $10.5 billion, is our consulting book of business.
That's our strategy and technology advisory work around AI.
That's our data transformation services to get companies ready to scale and deploy AI.
And that's our intelligent operations where we do application modernization, hybrid cloud architecture, etc.
So that gives you a little bit of the background.
We're extremely excited about where we think AI is going.
You look at studies that have been produced, whether it's BCG, McKinsey, you name it.
You know, they're calling trillions, like four trillions of value creation over time around AI when it's at peak.
And oh, by the way, interesting thing on that, just a little sidebar, only about a quarter of that is productivity.
Three quarters of that is actual new sources of growth, new industries, new companies, new markets.
and having an innovative tech stack
and a consulting business at scale plays to our advantage.
Now get to Confluent.
Confluent, we're extremely excited.
Open source company, we're very big in open source
starting with the initial Linux foundation that we started,
but Red Hat acquisition, HashiCorp,
Confluent plays extremely nicely to our strategy overall.
Confluent, leading open source company
around data streaming, events, real-time foundational for Gen AI overall, it is going
to become the glue. If you think about Gen AI, yes, you've got models. Yes, you've got applications.
And by the way, we've been public. We think there's going to be an explosion in applications
that are going to occur. On top of those applications, Matt, as you know quite well,
there's going to be multiples of agents that call on those applications.
What does Confluent do?
It's going to be the smart data platform that is going to be foundational for us to have companies scale AI
because it brings the integration of applications, of data, of security, of governance, of intelligence together.
Think models, applications, agents, and the connectors of all that is going to be the
underlying data connector around Confluence.
So we couldn't be more excited.
By the way, it fits our M&A strategy.
What do we look at in M&A?
We look for category-leading technologies in structurally growing markets where we can
add unique value inside IBM around integration and around delivering synergies on top of our
platforms. This fits extremely well with that overall. Expands our TAM, very important area,
so we couldn't be more excited. Just a quick follow-up. Let's just take these four factors
and if you have a formula for them or how you evaluate them from one quarter to the next,
one year to the next, and that would just be share buybacks, dividends, acquisitions, and R&D.
So taking those four different games you can play, how do you think about each dollar that
comes in of cash flow and where to deploy it? Well, discipline to capital allocation always
starts with investing back in our business. That is both an organic and an inorganic to the extent
we remain disciplined around our set of M&A criteria, strategic fit to our hybrid cloud
AI strategy, synergistic value, because every dollar we invest inorganically, we got to get
a multiple synergy. It's got to pull software, it's got to pull consulting, it's got to pull
our infrastructure platform, and it's got to have an attractive financial profile. So our capital
allocation strategy always starts with the biggest value creator, which is utilizing cash in the most
productive and effective way to create long-term sustainable competitive advantage. From there,
then, as a CFO and public company, you've got to look at any excess cash above your leverage ratios
on how you would have an attractive return to shareholder program. Given our investor mix,
and by the way, we've been doing a very good job of changing that over time, but we have a very
sticky, a very loyal retail base. They love the dividend. And we remain, we've been very
transparent. We remain committed to a secure, modestly growing dividend over time. I think
right now we've given a dividend for, what, 100 plus years. And we've raised our dividend. We're
an aristocrat right around 30 years in a row. And we feel very confident. We've been able to grow
went to a pretty attractive, still attractive dividend yield at a very appropriate now payout
ratio, much better than where we were five, six years ago. And then from there, given the free
cashflow generation engine, Tom, that we've been driving here and the vector of growth,
our return to shareholder program, we're approaching about 40% from a payout ratio.
So it gives us a lot of strategic optionality on how to distribute value back to our shareholders.
If we see something that is very attractive inorganically, we're going to continue our
organic engine.
You can bet on that.
That's priority number one.
R&D, our research investment, our quantum investment, and the next leg of emerging technology.
But if we see something very attractive that fits our M&A criteria, that will be highly prioritized.
Otherwise, we'll look at strategically diversifying how we give out return of value to shareholders.
And we're about at that payout ratio that allows us to have a lot of flexibility.
So I call that a high quality problem.
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final question is like the ski jump in the olympics it's not gonna be a long runway to
the question, but we're going to give you the opportunity to stick it quickly because we know
we need to respect your time. So be as succinct as you'd like to be. I'd just like to hear from
you. You have a 30-year history at IBM. Arvind has a 35-year history. You came in as, I believe,
stepped in as CFO in 2018, Arvind as CEO in 2020. We've heard about it through your points in this
conversation, so I could probably answer this, but anything special you'd like to give us about
what the Arvind Krishna years mean as distinct from what came before at IBM. And maybe if you
wanted to go in this direction also, I'd love to hear transformation culture, how you're fair to
every employee in this time of great change while relentlessly pursuing, you know, the prosperity
and success you want for all the stakeholders of the company with these new technologies.
Yeah. Well, Arvind and I go back 20 plus years. We became very close when I was the controller
the company back in 2007 he was running parts of our software portfolio overall we actually built
a relationship on the business that ultimately led to a friendship outside but it was a business
relationship on what i would call one day a mentoring relationship him deep technologists
me deep business model operating model financial model etc and we learned from each other
Another day it was a reverse mentoring. So we became very, very tight and our paths have crossed around different portfolio moves over time, Red Hat being the biggest piece. But what do I think what he's done around this company?
Number one, I think it will go down in history, he has probably engineered one of the most strategic reinventions of an iconic information technology company that's ever existed.
And I say that proudly at the end of the day.
The reason why we're here, 114, going to celebrate 115 years.
What has he done?
I think if you take a look at back at it, I said to someone earlier this morning, I
think there's three things that are important, which by the way, go back to when Arvin and
I were talking when he was interviewing with the succession plan to become the next CEO.
Because I asked him, I said, what do you want to be known for?
Where do you want to take IBM?
So I had just become CFO.
And by the way, a lot of their behind the scenes things have happened leading up the
both of our positions. But number one, he said, IBM historically has always delivered differentiated
value over 114 years when we had high value innovation platform models that we could create
distinctive advantage. Arguably, we haven't had one since the middleware era in the early 2000s.
a la his vision, hybrid cloud, AI, redhead acquisition, and what we've done with the
portfolio.
So he wanted to convert IBM into a platform-centric business, opening up IBM, which I think is
one of the most underappreciated things he's done in the company, creating strategic partnerships,
moving away from a historical proprietary IBM to one that is coopetition and strategically
complementary to other areas. Point number one. Number two, he had to change the mindset in this
company that we've got to drive durable, sustainable growth, a growth mindset overall.
And three, I think culturally, what has IBM always been known for? Responsible, ethical technology
that makes a difference in the world, in industry, society at large, technology for good.
I think in a very short period of time, when you check one, check two, check three,
he's well on his path. And I think that goes back to how I answered your first question,
that market valuation and how the market is looking at us. While that is great,
That's in the rear view mirror, all-time stock price, all-time enterprise value, you know, created more value in the last three years than a previous 111.
What makes us most excited is the engagement and momentum of every IBMer with a step in their walk right now.
And I think that's a pride statement and that's a relevancy statement with clients.
So that's kind of how I would wrap it up.
Jim Cavanaugh, the CFO of IBM, thank you so much for this time.
We're very happy investors thus far and looking forward to the next five plus years, both
learning from you as a business, enjoying the experience of getting to meet you in this
situation and making money for putting our money at work.
And that's the mission of The Motley Fool, to create a world that is smarter, happier
and richer.
And you've given that to us in this time.
So thanks very much, Jim.
Appreciate it.
Thank you again.
I appreciate your trust and confidence in investment.
We'll keep making it work for you.
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Thanks for listening, and we will see you tomorrow.
We'll be right back.
