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>> Accenture and Anthropic inking a
multi-year partnership deal to drive
enterprise AI adoption. The two, they're
going to form the Accenture Anthropic
business group with the goal of training
around 30,000 professionals in
leveraging AI as a catalyst for
reinvention. pleased to say joining us
right now is the CEO of Accenture, Julia
Julie, and the CEO of Anthropic, Daario
Amade. Great to have both of you here.
Uh, and Julie, I'll start with you. Uh,
mainly because when I saw this, I
thought, "Wow, this is neat." Then I
also thought about the fact that just
last week you announced a further
expansion of your partnership with
OpenAI. Talk a little bit about how
these two coexists under the Accenture
umbrella.
>> Sure. So, um, all of our partnerships
start with client demand. So the
partnerships are responding to client
demand and we have a long history. Our
clients expect us to be the number one
partner for every technology company
that matters and uh Enthropic this
partnership that we've announced today
is uh very important to our clients. And
so that's the role we play is to make
sure that we can take the world's best
technology and mix it up with industry
knowledge with process and how to
actually use it in the enterprise to get
to an outcome. And as you know today
it's all about when is AI showing up in
the P&L. We call that the P&L pivot and
this partnership uh will help our
clients make that pivot. Well, I am
curious then Dario if you can kind of
talk about specifically the anthropic
tools, the idea here uh of standardizing
how some of these AI agents actually
connect to uh the various uh uh
tentacles if you will, the various
applications out there.
>> Um yes, so we are um uh you know I think
we're going to start on the coding side.
Some of the technologies that have been
adopted quickly have been uh uh things
like uh claude code the the the um tool
tool we produce to help with development
and we've seen very large productivity
gains with that but we want to go beyond
that to more general use of our tool uh
claude and we want to drive usage of the
tool across areas like healthcare um
life sciences financial services public
sector you know things that anthropic
has worked with for a long time you know
more broadly I would say that uh
enterprises have been experimenting with
AI for quite a while, but uh you know I
think really you know as Julie said with
the with the P&L the the important thing
is really to deploy these at scale and
you know to actually drive ROI for them.
And so that's what we're trying to do.
That's why we have this whole business
center. That's why we're training 30,000
people to use Claude. And we're going to
work with CIOS of companies to track how
how how they're using uh Claude through
Accenture, how they're uh deploying the
tools, what returns they're getting,
what returns they're getting from the
tools. So, we're going to work with
Accenture to manage the whole life
cycle. We think these tools are are are
are revolutionary. We've seen that from
their use inside Anthropic and many
enterprises already. [snorts] But, uh,
the thing we're most excited for is is
to make sure that, you know, we can we
can really, uh, uh, spread these across
the enterprise world. And, you know,
that's that's where Accenture comes in
and can really drive these things at a
scale that hasn't been done before.
>> Yeah, it's interesting, Dario. I mean,
you think about AI, some of these uh,
LLMs, they're very popular with
consumers, individuals. Uh, they've been
well socialized. But when it comes to
enterprises, when it comes to that
business customer, you touched on maybe
some of the skepticisms that CIOS have
in really adopting AI as you look into
2026, this deal with Accenture. Uh how
much further does it put you when it
comes to sort of unlocking the
enterprise world and what's the goal
when it comes to 2026?
>> Yes. So, um you know, we we've already
seen substantial enterprise adoption.
This year, Anthropics revenue went from
1 billion uh annualized rate at the
beginning of the year to 10 billion
annualized rate at the end of the year.
Um, so we've already seen a lot of
adoption and you know 80 80% of that
revenue is enterprise and within that
particularly with things like coding but
in other areas we're we're starting to
see very strong ROI but the scale of
this is so large right the scale of what
needs to be done right there's hundreds
of billions maybe trillions of of you
know kind of enterprise enterprise
productivity out there value to be
created and so that while while it has
been growing quickly and we've been
overcoming that skepticism I think what
needs to be done h has you know is
enormous in scale compared to what to
what has been done what has been done
already and that's why partnerships with
Accenture are so important that you know
we really need to get to a scale that
it's it's you know a young company needs
to needs to partner with someone who
really understands the enterprise world
>> and Julie you made the point that you
know one of the big questions here is
when we're going to see AI show up uh in
the P&L there's also the big question of
when you see AI really show up in the
job market and I'm curious you know
whether you're seeing AI slow down
hiring for entry- levelvel jobs. Over at
Accenture, for example,
[snorts]
>> we are really focused on creating
sustainable entry-level jobs with AI.
And so our pivot in the talent side is
how do we now take our entrylevel
uh uh uh people, we call them
reinventors coming in and give them the
skills so they can operate at a higher
level. So for example, if you can now do
things that maybe would have taken you
two years, uh then you're losing two
years of experience at client. So how do
we now intro we're now introducing
communication training to help close
that gap? And so we believe it's way too
early to call the end of entrylevel jobs
versus the responsibility that we have
as a company and as companies across the
globe to change the way that we train
and that we think about jobs. so that we
have sustainable entry level jobs.
>> I am curious though uh Julie as you sort
of prep your own uh folks in internally
for uh not only using the tools
yourselves but obviously the idea that
these tools ultimately will then somehow
be used by clients. What has been the
uptake internally? How much retraining
have you had to do for your own folks?
>> Our training has been massive. Uh it
starts with back in 2019 we introduced
uh classical AI training. So when chatpt
came on that we were already had 500,000
people trained in the fundamentals of AI
in addition to the specialists. We just
kicked off our entire 750,000
or so reinventors agentic AI training
and in fact this partnership is all
about tapping into the talent advantage
that Accenture brings because you need
great technology expertise you also need
the industry expertise like in banking
you need to know your be able to know
your customer and so we're training all
of our people those who understand
industry and function and that's a big
talent advantage. So Dario, but this
goes back to the idea kind of of what
you're contributing and the idea that a
lot of people have been looking for more
of a standardized model to be able to
work off of and obviously anthropic at
least the way as you guys promote
yourselves. The idea of open source, the
idea of maybe a little bit more
transparency. There was a report today
in your information that you along with
a couple of others uh including uh
Google and open AAI for that matter are
going to be part of this AI foundation
that will seek to create a more
standardized system for some of this.
Can you talk a little bit about that?
>> Yes. So, so this is um we're we're
donating uh MCP which is the called the
model context protocol along with some
other things to a to a to a foundation.
And and what MCP is, it's it's a tool
that uh uh uh kind of governs and
standardizes how AI models intersect
with data. If you think about it, you
can think of an AI model as kind of as
kind of the brain, right? You have a
smart brain that knows a lot of things.
And when I bring that brain into an
enterprise context, there's all this
kind of knowledge and and tacit
knowledge that is present in the
enterprise. And so bringing them
together is always a challenge. You
know, the way I often like to say it is,
you know, suppose I took some very smart
person off the street and, you know,
plopped them into the middle of my
enterprise, gave them an executive role
and say, "Okay, congratulations. You
know, you're in you're in charge. You
get to make all the decisions." Now, as
smart as that person is, they wouldn't
at least not right away make make make
make make immediately good immediately
good decisions. So, there's this
integration layer that's missing and and
you know, I think these tools are
designed to facilitate that integration
layer and and make it easier. And so
we're we're excited to provide these
things to the world and and you know
kind of kind of make it easier to
facilitate access to the technology
across the world.
>> And Dario, before we let the two of you
go, I have to ask while we have you,
there has been reporting that you've
been in early talks for an IPO as early
as 2026. Can you confirm that? Uh
currently we are we are just focused on
growing our business um uh and you know
growing growing growing enterprise uh
growing enterprise revenue as as you can
see in this partnership.
>> All right. Well, obviously it's a great
partnership. I've known Julie for some
time and certainly uh you picked a good
partner there. Dario Amade is the CEO of
Anthropic. Julia, great to see you once
again. and Julie, the CEO over at
Accenture.