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Speaker 1: Bloomberg Audio Studios, podcasts, radio news, Accenture and Anthropic in

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Speaker 1: get a multi year partnership deal to drive enterprise AI adoption.

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Speaker 1: The two they're going to form the Accentric Anthropic Business

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Speaker 1: Group with the goal of training around thirty thousand professionals

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Speaker 1: in leveraging AI as a catalyst for reinvention pleases say.

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Speaker 1: Joining us right now is the CEO of accent Julie

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Speaker 1: Sweet and the CEO of Anthropic, Dario Amaday. Great to

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Speaker 1: have both of you here, and Julie, I'll start with you,

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Speaker 1: mainly because when I saw this, I thought, Wow, this

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Speaker 1: is me Tina. I also thought about the fact that

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Speaker 1: just last week you announced a further expansion of your

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Speaker 1: partnership with open AI. Talk a little bit about how

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Speaker 1: these two coexist under the Eccentri umbrella.

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Speaker 2: Sure, so all of our partnerships start with client demand.

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Speaker 2: So the partnerships are responding to client demand, and we

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Speaker 2: have a long history our clients expect us to be

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Speaker 2: the number one partner for every technology company that matters

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Speaker 2: and Anthropic this partnership that we've announced today is very

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Speaker 2: important to our clients, and so that's the role we play,

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Speaker 2: is to make sure that we can take the world's

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Speaker 2: best technology and mix it up with industry knowledge, with

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Speaker 2: process and how to actually use it in the enterprise

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Speaker 2: to get to an outcome. And as you know, today

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Speaker 2: it's all about when is AI showing up in the

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Speaker 2: P and L. We call that the P and L pivot,

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Speaker 2: and this partnership will help our clients make that pivot.

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Speaker 1: Well, I am curious, then, Daria, if you can kind

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Speaker 1: of talk about specifically the Anthropic tools, the idea here

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Speaker 1: of standardizing how some of these AI agents actually connect

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Speaker 1: to the various tentacles, if you will, the various applications

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Speaker 1: out there.

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Speaker 3: Yes, so we are. I think we're going to start

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Speaker 3: on the coding side. Some of the technologies that have

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Speaker 3: been adopted quickly have been things like cloud code, the

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Speaker 3: tool we produce to help with development, and we've seen

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Speaker 3: very large productivity gains with that. But we want to

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Speaker 3: go beyond that to more general use of our tool, Claud,

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Speaker 3: and we want to drive usage of the tool across

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Speaker 3: areas like healthcare, life sciences, financial services, public sector, you know,

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Speaker 3: things that Anthropic has worked with for a long time.

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Speaker 4: You know.

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Speaker 3: More broadly, I would say that enterprises have been experimenting

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Speaker 3: with AI for quite a while. But you know, I

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Speaker 3: think really, you know, as Julie said, with the P

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Speaker 3: and L, the important thing is really to deploy these

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Speaker 3: at scale and you know, to actually drive ROI for them,

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Speaker 3: and so that's what we're trying to do. That's why

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Speaker 3: we have this whole business center. That's why we're training

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Speaker 3: thirty thousand people to use CLAUD and we're going to

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Speaker 3: work with CIOs of companies to track how they're using

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Speaker 3: CLAUD through Accenture, how they're deploying the tools, what returns

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Speaker 3: they're getting, what returns they're getting from the tools. So

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Speaker 3: we're going to work with Accenture to manage the whole

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Speaker 3: life cycle. We think these tools are our revolutionary We've

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Speaker 3: seen that from their use inside and Thropic and many

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Speaker 3: enterprises already. But the thing we're most excited for is

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Speaker 3: to make sure that you know, we can really spread

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Speaker 3: these across the enterprise world. And you know, that's where

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Speaker 3: Accenture comes in and can really drive these things at

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Speaker 3: a scale that hasn't been done before.

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Speaker 4: Yeah, it's interesting, Dario. I mean, you think about AI,

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Speaker 4: some of these lms, they're very popular with consumers, individuals,

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Speaker 4: they've been well socialized, but when it comes to enterprises,

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Speaker 4: when it comes to that business customer. You touched on

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Speaker 4: maybe some of the skepticisms that CIOs have in really

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Speaker 4: adopting AI. As you look into twenty twenty six, this

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Speaker 4: deal with accenture, how much further does it put you

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Speaker 4: when it comes to sort of unlocking the enterprise world

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Speaker 4: and what's the goal when it comes to twenty twenty six.

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Speaker 3: Yes, so you know, we've already seen substantial enterprise adoption

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Speaker 3: this year andthropics revenue went from one billion annualized rate

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Speaker 3: at the beginning of the year to ten billion annualized

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Speaker 3: rate at the end of the year. So we've already

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Speaker 3: seen a lot of adoption, and you know, eighty eighty

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Speaker 3: percent of that revenues enterprise and within that particularly with

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Speaker 3: things like coding, but in other areas we're starting to

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Speaker 3: see very strong ROI. But the scale of this is

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Speaker 3: so large, right, the scale of what needs to be done, right,

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Speaker 3: there's hundreds of billions, maybe trillions of you know, kind

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Speaker 3: of enterprise enterprise productivity out there, value to be created,

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Speaker 3: and so that while while it has been growing quickly

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Speaker 3: and we've been overcoming that skepticism. I think what needs

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Speaker 3: to be done has you know, is enormous in scale

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Speaker 3: compared to what to what has been done, what has

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Speaker 3: been done already. And that's why partnerships with Accenture are

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Speaker 3: so important that you know, we really need to get

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Speaker 3: to a scale that it's it's you know, a young

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Speaker 3: company needs to needs to partner with someone who really

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Speaker 3: understands the enterprise world.

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Speaker 4: Angelie, you made the point that you know, one of

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Speaker 4: the big questions here is when we're going to see

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Speaker 4: AI show up in the p and L. There's also

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Speaker 4: the big question of one you see AI really show

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Speaker 4: up in the job market, And I'm curious, you know,

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Speaker 4: whether you're seeing AI slow down hiring for entry level jobs.

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Speaker 4: Over at Eccentsure, for example, we are.

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Speaker 2: Really focused on creating sustainable entry level jobs with AI,

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Speaker 2: and so our pivot in the talent side is how

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Speaker 2: do we now take our entry level people, we call

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Speaker 2: them reinventors, coming in and give them the skill so

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Speaker 2: they can operate at a higher level. So, for example,

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Speaker 2: if you can now do things that may be would

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Speaker 2: have taken you two years, then you're losing two years

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Speaker 2: of experience at clients. So how do we now we're

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Speaker 2: now introducing communication training to help close that gap, and

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Speaker 2: so we believe it's way too early to call the

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Speaker 2: end of entry level jobs versus the responsibility that we

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Speaker 2: have as a company and as companies across the globe

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Speaker 2: to change the way that we train and then we

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Speaker 2: think about jobs so that we have sustainable entry level jobs.

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Speaker 1: I am curious, so, Julie, as you sort of prep

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Speaker 1: your own folks internally for not only using the tools yourselves,

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Speaker 1: but obviously the idea that these tools ultimately will then

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Speaker 1: somehow be used by clients. What has been the uptake internally?

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Speaker 1: How much retraining have you had to do for your

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Speaker 1: own folks.

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Speaker 2: Our training has been massive. It starts with back in

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Speaker 2: twenty nineteen we introduced classical AI training. So when Chatchipt

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Speaker 2: came on that we were already had five hundred thousand

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Speaker 2: people chained in the fundamentals of AI in addition to

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Speaker 2: the specialists we just kicked off our entire seven hundred

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Speaker 2: and fifty thousand or so reinventors agentic AI training. And

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Speaker 2: in fact, this partnership is all about tapping into the

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Speaker 2: talent advantage that accenture brings because you need great technology expertise,

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Speaker 2: you also need the industry expertise, like in banking, you

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Speaker 2: need to know your be able to know your customer.

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Speaker 2: And so we're training all of our people those who

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Speaker 2: understand industry and function and that's a big talent advantage.

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Speaker 1: So Dario, but this goes back to the idea kind

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Speaker 1: of of what you're contributing and the idea that a

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Speaker 1: lot of people have been looking for more of a

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Speaker 1: standardized model to be able to work off of, and

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Speaker 1: obviously anthropic at least the way as you guys promote yourselves,

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Speaker 1: the idea of open source, the idea of maybe a

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Speaker 1: little bit more transparency. There was a report today in

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Speaker 1: ther Information that you, along with a couple of others

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Speaker 1: including Google and open Ai for that matter, are going

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Speaker 1: to be part of this AI foundation that will seek

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Speaker 1: to create a more standardized system for some of this.

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Speaker 1: Can you talk a little bit about that.

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Speaker 3: Yes, So this is we're donating MCP, which is called

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Speaker 3: the Model Context Protocol, along with some other things to

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Speaker 3: a foundation. And what MCP is it's a tool that

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Speaker 3: kind of governs and standardizes how AI models intersect with data.

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Speaker 3: If you think about it, you can think of an

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Speaker 3: AI model as kind of as kind of the brain. Right,

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Speaker 3: you have a smart brain that knows a lot of things,

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Speaker 3: and when I bring that brain into an enterprise context,

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Speaker 3: there's all this kind of knowledge and tacit knowledge that

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Speaker 3: is present in the enterprise, and so bringing them together

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Speaker 3: is always a challenge. You know. The way I often

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Speaker 3: like to say it is, you know, suppose I took

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Speaker 3: some very smart person off the street and you know,

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Speaker 3: PLoP them into the middle of my enterprise, gave them

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Speaker 3: an executive role and say, okay, congratulations, you know you're

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Speaker 3: in You're in charge. You get to make all the decisions. Now,

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Speaker 3: as smart as that person is, they wouldn't, at least

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Speaker 3: not right away, make make make make make immediately good,

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Speaker 3: immediately good decisions. So there's this integration layer that's missing.

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Speaker 3: And you know, I think these tools are designed to

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Speaker 3: facilitate that integration layer and make it easier. And so

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Speaker 3: we're excited to provide these things to the world and

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Speaker 3: you know, kind of kind of make it easier to

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Speaker 3: facilitate access to the technology across the world.

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Speaker 4: And Dario, before we let the two of you go,

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Speaker 4: I have to ask, while we have you, there has

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Speaker 4: been reporting that you've in early talks for an IPO

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Speaker 4: as early as twenty twenty six.

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Speaker 3: Can you confirm that currently we are we are just

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Speaker 3: focused on growing our business and you know, growing, growing,

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Speaker 3: growing enterprise, growing enterprise revenue, as you can see in

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Speaker 3: this partnership.

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Speaker 1: All right, Well, obviously it's a great partnership, known Julie

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Speaker 1: for some time and certainly you picked a good partner there.

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Speaker 1: Adario Amide is the CEO of Anthropic Julia. Great to

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Speaker 1: see you once again, Julie Sweet the CEO over at

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Speaker 1: a centre