WEBVTT - Amazon Soars on Fastest Cloud Growth in Years

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<v Speaker 2>All right, let's get back to Amazon.

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<v Speaker 3>There's a stock that's working, and it's working because the

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<v Speaker 3>cloud business for them and the AI play and that's

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<v Speaker 3>been the story behind Amazon and in stock for a

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<v Speaker 3>better part of ten to fifteen years. Here, it's not

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<v Speaker 3>so much the retail the stuff that we interact with

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<v Speaker 3>Amazon with getting the packages at the door. It's all

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<v Speaker 3>about their cloud business. On Rock Rana, he's a technology

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<v Speaker 3>analyst for Bloomberg Intelligence. The technology analysts for Bloomberg Intelligence,

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<v Speaker 3>an rap talk to us about the Amazon Web Services.

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<v Speaker 3>How did they do last quarter?

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<v Speaker 4>Yeah?

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<v Speaker 5>I think this is the one that really changed the

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<v Speaker 5>tone or the narrative. O fate of was because when

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<v Speaker 5>you look at over the last six months or so,

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<v Speaker 5>there is a there is you know, you could say

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<v Speaker 5>a fear out there that AWS is losing market share

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<v Speaker 5>to the likes of Oracle, the likes of you know, Google,

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<v Speaker 5>and Microsoft because the other three are showing momentum with

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<v Speaker 5>their AI workloads, but it wasn't as it was absent

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<v Speaker 5>for AWS. In fact, their capex went down a little bit,

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<v Speaker 5>lost quarter or you know when they reported last time,

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<v Speaker 5>stock was down the you know when when they had

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<v Speaker 5>reported their second quarter results. But finally they came out

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<v Speaker 5>yesterday AWS Acceleration. They were very confident about how it's

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<v Speaker 5>going to do next year. Capex is going up, their

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<v Speaker 5>chip business is doing well. So I think from that

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<v Speaker 5>point of view, that's a big overhang away from the stock.

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<v Speaker 4>People should be happy with this.

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<v Speaker 6>And when it comes to AWS, I feel like that's

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<v Speaker 6>the og of the cloud computing. I mean, whenever we

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<v Speaker 6>talk about cloud it's really Amazon leading the way and

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<v Speaker 6>then of course Alphabet Microsoft, but their growth rates were

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<v Speaker 6>much faster than Amazon because Amazon had a bigger base. Overall,

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<v Speaker 6>where does the put this latest quarter put AWS versus

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<v Speaker 6>Azure versus Alphabet.

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<v Speaker 5>See, that's what I'm saying. The others cloud providers are

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<v Speaker 5>so good at marketing that they have been beating up

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<v Speaker 5>on AWS for I would say almost two years, and

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<v Speaker 5>last night they came out I think with guns blazing

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<v Speaker 5>explaining their entire strategy in a far better way. And

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<v Speaker 5>I think that's what you resonate when you look at

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<v Speaker 5>the market share.

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<v Speaker 4>You're absolutely right.

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<v Speaker 5>Just from the infrastructure side, AWS is so much bigger

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<v Speaker 5>than everybody else, so much wider, much more entrenched with

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<v Speaker 5>enterprises than any of the others. But you know what's

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<v Speaker 5>happening is the first part of the first growth phase

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<v Speaker 5>of AI has been through chat GPT and that product

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<v Speaker 5>is hosted on Microsoft Azure. AWS doesn't have a consumer

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<v Speaker 5>product like that which is hosted on them. They're all

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<v Speaker 5>about enterprising adding more AI capabilities and that growth cycle

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<v Speaker 5>is only beginning. So I think this really puts us

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<v Speaker 5>very confident that AWS growth rate is going to continue

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<v Speaker 5>in this good trajectory, not just for next year, but

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<v Speaker 5>the year after that also.

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<v Speaker 6>And anurag, I know that this is something that happened

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<v Speaker 6>more recently, but of course there was a big outage

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<v Speaker 6>of AWS that seem to affect everyone across the nation.

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<v Speaker 6>Schools and students couldn't get online, businesses couldn't do things,

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<v Speaker 6>and they couldn't log into the websites that they needed to.

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<v Speaker 6>Did Amazon talk about that at all and give any reassurances.

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<v Speaker 5>See I think this is one of the biggest risks

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<v Speaker 5>for all cloud providers, not just Amazon, but Microsoft also

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<v Speaker 5>Microsoft also had a similar breakdown. Now think of these

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<v Speaker 5>cloud providers as electricity providers and it can happen to anybody.

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<v Speaker 5>One of our big thesis is that we know AI

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<v Speaker 5>is a big growth story for cloud. I think one

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<v Speaker 5>of the biggest stories later on is going to be

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<v Speaker 5>a multi cloud strategy. Every company, every enterprise is going

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<v Speaker 5>to go out and have a backup cloud provider similar

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<v Speaker 5>to what they do in electricity, and I think that

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<v Speaker 5>is going to add far more to the total addressable

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<v Speaker 5>market of this important service.

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<v Speaker 3>I know you guys at Bloomberg Intelligence wrote I think

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<v Speaker 3>the definitive research report on AI.

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<v Speaker 2>So, folks, if you want to learn about what this.

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<v Speaker 3>Whole AI thing is, go to big on your terminal

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<v Speaker 3>and that's where you'll find it.

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<v Speaker 2>If you don't have it, call your salesperson. But it's

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<v Speaker 2>what's the bare case? Is there a bare case for AI?

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<v Speaker 7>Here?

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<v Speaker 4>Anarak?

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<v Speaker 2>Because there's certainly spending a ton of money.

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<v Speaker 5>Yeah, the bear case is spending a lot of the money,

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<v Speaker 5>and I think that is something to be extremely careful

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<v Speaker 5>about because see one of the things I have to see,

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<v Speaker 5>is will enterprise suddenly say, you know what, I like

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<v Speaker 5>this thing. It is good to summarize a handful of emails.

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<v Speaker 5>It will give me so much a productivity. But that's

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<v Speaker 5>where it ends. It's not going to lead to massive layoffs.

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<v Speaker 4>You know. It's like another tool you and I have.

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<v Speaker 5>We have Excel, now we have chag GPT on the

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<v Speaker 5>side that I think is the bare case on it

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<v Speaker 5>is how much productivity somebody can get out of it.

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<v Speaker 5>And at the same time, you know, you when you're

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<v Speaker 5>spending let's say five hundred plus billion dollars a year

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<v Speaker 5>in adding more capacity, a lot of people are borrowing

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<v Speaker 5>that money. Private credit is involved. You have a lot

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<v Speaker 5>of that coming from one customer that's Opening Eye. You

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<v Speaker 5>know what if something happens and somebody else comes up

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<v Speaker 5>with a better model and Opening Eye is no longer

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<v Speaker 5>able to see that kind of growth momentum. So there

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<v Speaker 5>are enough bare cases out there. That's why, almost to

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<v Speaker 5>be very frank, almost on a weekly basis, you have

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<v Speaker 5>to track these things very carefully.

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<v Speaker 6>Yeah, that circular financing you just reference raises a lot

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<v Speaker 6>of concerns because so much of the economic growth that

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<v Speaker 6>we're seeing now is tied to investment in spending on AI,

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<v Speaker 6>So if anyone stops spending just a moment, or maybe

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<v Speaker 6>slows things down, that could have huge ramifications. Anurag always

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<v Speaker 6>appreciate your joining us on our g Rana is one

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<v Speaker 6>of our Bloomberg Intelligence senior technology analysts giving us the

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<v Speaker 6>low down here on Amazon Amazon Web Services, fastest cloud

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<v Speaker 6>growth in years for Amazon Web Services, providing some relief

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<v Speaker 6>to those investors.

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<v Speaker 3>Stay with us. More from Bloomberg Intelligence coming up after this.

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<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

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<v Speaker 1>weekdays at ten am. He's done on Apple, Cocklay and

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<v Speaker 1>Android Auto with the Bloomberg Business App. Listen on demand

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<v Speaker 6>It is Halloween, so I think about haunted houses, and

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<v Speaker 6>there's a great story on the Bloomberg Paul about a

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<v Speaker 6>real estate developer in Pennsylvania who wants to turn his

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<v Speaker 6>haunted house attraction, which is actually a former Penhurst asylum

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<v Speaker 6>into what else a data center?

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<v Speaker 2>Ah, of course, I mean it's.

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<v Speaker 6>Right white line with the times right. AI is the

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<v Speaker 6>only thing anyone cares about these days. Everyone's trying to

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<v Speaker 6>make money off of it, profit off demand for it.

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<v Speaker 6>But can the grid actually sustain all of this? It's

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<v Speaker 6>not clear.

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<v Speaker 4>With the guy he lives in an asylum.

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<v Speaker 6>No, he owns the asylum and he's turned it into

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<v Speaker 6>a haunted house. But now he wants to turn it

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<v Speaker 6>into a data center.

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<v Speaker 2>You think it's like really wired for that?

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<v Speaker 8>There show all good questions. All right, Let's bring in

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<v Speaker 8>Ryan Mallory.

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<v Speaker 6>He is president and CEO of flex Cential, which is

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<v Speaker 6>a private company that is tied in to this idea

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<v Speaker 6>of whether we have enough power to power all this

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<v Speaker 6>AI that everyone wants.

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<v Speaker 8>Ryan, thanks for joining us today.

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<v Speaker 7>Good morning, Scarlett and Paul. Thanks for the opportunity to

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<v Speaker 7>speak with you.

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<v Speaker 6>So just give us a primer first on what flex

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<v Speaker 6>Central does and how it ties in with whether our

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<v Speaker 6>grid can support all this demand for AI.

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<v Speaker 7>Yeah, so flex Cential is a national data center operator.

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<v Speaker 7>We've got a dynamic platform forty two data centers across

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<v Speaker 7>eighteen markets and so you know we're you know, right

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<v Speaker 7>at the cornerstone of that AI on ramp trend that's

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<v Speaker 7>out there. So we're seeing some of these big deployments

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<v Speaker 7>like you guys are talking about in Pennsylvania, and other places.

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<v Speaker 7>Flex cential is really that on ramp capability from that

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<v Speaker 7>network ingress.

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<v Speaker 3>So ran you say power availability is the new real estate,

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<v Speaker 3>What do you mean by that?

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<v Speaker 7>Yeah, you know, you know, it used to be trying

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<v Speaker 7>to find the land, so a piece of you know,

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<v Speaker 7>property that could support a data center was where everybody started.

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<v Speaker 7>Now it's really where where is the power at? You know,

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<v Speaker 7>in twenty twenty three, there was one hundred and seventy

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<v Speaker 7>six tear lots of power being you know, generated out

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<v Speaker 7>there for the data center marketplace. Twenty twenty eight, there's

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<v Speaker 7>going to be five hundred and eighty tara watts. And

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<v Speaker 7>so what we're seeing is this massive increase in power demand,

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<v Speaker 7>and you know, they're not making any more land close

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<v Speaker 7>to you know, the generation and transmission. So being able

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<v Speaker 7>to have access to that power is that really that

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<v Speaker 7>real estate mantra of location, location, location, So you've got

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<v Speaker 7>to find the power first.

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<v Speaker 3>I wouldn't know what a tear WoT is if I

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<v Speaker 3>tripped over, but what I do know sounds like a

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<v Speaker 3>lot five hundred and eighty terrawts. By twenty twenty eight,

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<v Speaker 3>that's twelve percent of the national electricity demand is going

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<v Speaker 3>to be gone for these AI things.

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<v Speaker 6>Yeah, sometimes we don't even have enough electricity just to

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<v Speaker 6>do what we do right now exactly. So that's the

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<v Speaker 6>question rian which parts of the country have this power

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<v Speaker 6>availability they're for this new revolution, and which have massive

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<v Speaker 6>backlogs and can't afford to have anything more plugged into

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<v Speaker 6>their grid.

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<v Speaker 4>Yeah.

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<v Speaker 7>You know, we've really seen some shifting in the game

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<v Speaker 7>board over the past several years where you know, the

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<v Speaker 7>Northern Virginia's and the California markets and even Georgia has

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<v Speaker 7>become power constrained just because of this massive shift to

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<v Speaker 7>those markets because of at that point in time power availability.

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<v Speaker 7>Now we're starting to see it turn to net new markets,

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<v Speaker 7>you know, Oregon, Utah, Colorado, Texas, North Carolina. These are

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<v Speaker 7>areas that you know, you know, from a legacy data

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<v Speaker 7>center market had been overlooked because they didn't have a

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<v Speaker 7>lot of the infrastructure. But they've caught up and those

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<v Speaker 7>markets are really primed to take off. That's where Flexential

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<v Speaker 7>spending a lot of its focus right now, and we

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<v Speaker 7>see a lot of others in the AI industry doing

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<v Speaker 7>the same.

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<v Speaker 3>All Right, so I need power to power these things up,

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<v Speaker 3>but I probably also need some water to cool them down.

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<v Speaker 2>Talk to us about water.

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<v Speaker 7>Yeah, you know, water is something that is a hot

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<v Speaker 7>topic in the data center industry because you know, when

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<v Speaker 7>you're talking about these high density compute workloads with AI,

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<v Speaker 7>we've seen them. You know, the actual you know, densities

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<v Speaker 7>per rack go up, you know, one hundred two hundred

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<v Speaker 7>three hundred percent over the past several years. You have

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<v Speaker 7>to have water, you know, from from a heat rejection standpoint,

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<v Speaker 7>and so a lot of companies historically had just used

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<v Speaker 7>evaporative water cooling to you know, to be able to

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<v Speaker 7>cool and empower these data centers. That's just not efficient,

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<v Speaker 7>and so it's really about utilizing you know, closed loop

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<v Speaker 7>systems where you can you know, put a liquid across

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<v Speaker 7>the chip you know, in the rack to be able

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<v Speaker 7>to dissipate that heat or reject that heat that's out

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<v Speaker 7>of there. There is a you know, there is a

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<v Speaker 7>little bit of a nuance out there. Companies that are

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<v Speaker 7>looking at operating at a zero w U E or

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<v Speaker 7>water U sufficiency are really what's needed in today's environment

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<v Speaker 7>so we don't become burdens on those local communities.

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<v Speaker 6>Let me ask a dumb question here. We have climate

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<v Speaker 6>change which is causing extreme weather. Here in the New

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<v Speaker 6>York region. We just had flash floods that resulted in

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<v Speaker 6>the death of two people and have really inundated the infrastructure.

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<v Speaker 6>Does that matter when you're looking at water as a

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<v Speaker 6>valuable resource in making sure that we can keep these

0:11:22.640 --> 0:11:23.560
<v Speaker 6>data centers running.

0:11:24.760 --> 0:11:27.440
<v Speaker 7>Yeah, I mean, climate change is a topic that's near

0:11:27.480 --> 0:11:30.480
<v Speaker 7>and dear to everybody in the data center's data center

0:11:30.480 --> 0:11:34.880
<v Speaker 7>world's heart because we have big footprint impacts in communities.

0:11:35.160 --> 0:11:37.760
<v Speaker 7>But when you're looking at how we're building the data

0:11:37.800 --> 0:11:41.920
<v Speaker 7>centers in today's environment with these closed loop systems, we're

0:11:41.960 --> 0:11:45.320
<v Speaker 7>just not drawing off of those off of those water

0:11:45.360 --> 0:11:48.800
<v Speaker 7>sources that are out there because they're closed and contained,

0:11:49.120 --> 0:11:52.280
<v Speaker 7>so it's not the same impact that historically was happening

0:11:52.360 --> 0:11:53.040
<v Speaker 7>in the industry.

0:11:53.559 --> 0:11:58.479
<v Speaker 3>I'm all about nuclear here, particularly small modular reactors SMRs.

0:11:58.520 --> 0:12:01.000
<v Speaker 3>Talk to us about that technology and is that going

0:12:01.040 --> 0:12:03.360
<v Speaker 3>to be a solution in any time in the near future.

0:12:04.600 --> 0:12:07.960
<v Speaker 7>You know, SMRs are are the future of the data

0:12:07.960 --> 0:12:10.160
<v Speaker 7>center world, as is nuclear in general.

0:12:10.440 --> 0:12:12.160
<v Speaker 2>You know, we've got to be focused.

0:12:11.800 --> 0:12:14.880
<v Speaker 7>To the you know, to the climate comment that scarlet

0:12:14.920 --> 0:12:18.360
<v Speaker 7>me just a second ago, around how we're impacting the environment.

0:12:19.120 --> 0:12:22.880
<v Speaker 7>SMRs are small footprint reactors. We've been doing those for

0:12:23.080 --> 0:12:26.560
<v Speaker 7>thirty forty years, you know, for you know, government based use,

0:12:26.840 --> 0:12:30.640
<v Speaker 7>and you know they're tried and true from a performance perspective.

0:12:30.840 --> 0:12:33.280
<v Speaker 7>What we've really got to get through is just the

0:12:34.000 --> 0:12:37.240
<v Speaker 7>permitting you know process and being able to deploy them.

0:12:37.480 --> 0:12:40.640
<v Speaker 7>You know, you can deploy anywhere from a fifty megawatt

0:12:40.679 --> 0:12:43.679
<v Speaker 7>to three hundred megawatt reactor and a small form factor

0:12:44.000 --> 0:12:47.480
<v Speaker 7>and that's going to really deliver that that capability that's

0:12:47.520 --> 0:12:49.840
<v Speaker 7>out there to be able to power these data centers

0:12:50.120 --> 0:12:52.720
<v Speaker 7>in a more rapid fashion. You know, a ten year

0:12:52.880 --> 0:12:55.839
<v Speaker 7>permitting process is just not going to going to help

0:12:55.880 --> 0:12:58.360
<v Speaker 7>anybody in the industry, whether it's you know, the home

0:12:58.440 --> 0:13:00.440
<v Speaker 7>consumer or the data center.

0:13:01.000 --> 0:13:02.760
<v Speaker 6>All right, good stuff, Ryan, thank you so much for

0:13:02.880 --> 0:13:06.240
<v Speaker 6>joining us todaying sharing your expertise with us. Ryan Mallory,

0:13:06.280 --> 0:13:09.679
<v Speaker 6>a CEO of Flexsential on the growing streen on power

0:13:10.040 --> 0:13:13.400
<v Speaker 6>due to this AI boom and he joins us from Denver, Colorado.

0:13:13.520 --> 0:13:16.400
<v Speaker 6>So a lot to think about there as everyone it

0:13:16.400 --> 0:13:19.040
<v Speaker 6>feels like it wants to find some way in on AI.

0:13:19.559 --> 0:13:22.720
<v Speaker 2>Stay with us. More from Bloomberg Intelligence coming up after this.

0:13:26.600 --> 0:13:30.319
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:13:30.400 --> 0:13:33.080
<v Speaker 1>weekdays at ten am. He's done on Apple, Cocklay and

0:13:33.080 --> 0:13:36.360
<v Speaker 1>Android Auto with the Bloomberg Business App. Listen on demand

0:13:36.400 --> 0:13:39.960
<v Speaker 1>wherever you get your podcasts, or watch us live on YouTube.

0:13:40.679 --> 0:13:42.160
<v Speaker 2>I think it near and dear to my heart. We

0:13:42.160 --> 0:13:43.079
<v Speaker 2>were just talking about that.

0:13:43.200 --> 0:13:44.680
<v Speaker 3>You know, what are some of these companies in these

0:13:44.720 --> 0:13:47.120
<v Speaker 3>industries that are kind of slowly decaying, like the cable

0:13:47.160 --> 0:13:48.559
<v Speaker 3>television industry, what do they do?

0:13:49.600 --> 0:13:50.520
<v Speaker 4>But it's also.

0:13:50.559 --> 0:13:52.680
<v Speaker 6>Declined, but they're not dead and they're not going to

0:13:52.679 --> 0:13:54.880
<v Speaker 6>be dead anytime soon, right, Well, No, and I think.

0:13:54.760 --> 0:13:56.600
<v Speaker 3>The other one here is just kind of what some

0:13:56.600 --> 0:13:59.199
<v Speaker 3>of these big legacy cable media companies do, and that

0:13:59.400 --> 0:14:04.560
<v Speaker 3>certainly you know true with when you look at Warner Brothers, Discovery, Paramount.

0:14:04.600 --> 0:14:06.600
<v Speaker 3>All these companies are trying to figure out what to

0:14:06.679 --> 0:14:07.360
<v Speaker 3>kind of do, and.

0:14:07.280 --> 0:14:10.199
<v Speaker 6>They're teaming up as a one solution, right because maybe

0:14:10.240 --> 0:14:12.520
<v Speaker 6>scale gets them somewhere that they can't get on their

0:14:12.559 --> 0:14:13.280
<v Speaker 6>own exactly.

0:14:13.520 --> 0:14:15.959
<v Speaker 3>Our next guest has got a really interesting opinion piece

0:14:16.000 --> 0:14:19.320
<v Speaker 3>out on this, Paul Hardart. He's a Distinguished Clinical Professor

0:14:19.360 --> 0:14:21.760
<v Speaker 3>of Marketing at New York University Stern School of business.

0:14:21.840 --> 0:14:25.280
<v Speaker 3>By the way, I think Stern has Basically they're half

0:14:25.320 --> 0:14:26.320
<v Speaker 3>of Global Wall Street.

0:14:26.080 --> 0:14:27.800
<v Speaker 2>Came out of the Stern School of business. I'm convincing

0:14:27.800 --> 0:14:28.760
<v Speaker 2>these people are everywhere.

0:14:29.160 --> 0:14:31.000
<v Speaker 3>Paul, thanks for so much for joining us here. Talk

0:14:31.000 --> 0:14:34.200
<v Speaker 3>to us about Warner Brothers. You know, it's a legacy

0:14:34.240 --> 0:14:38.760
<v Speaker 3>media company now part of Warner Brothers, the Discovery. You know,

0:14:38.800 --> 0:14:41.000
<v Speaker 3>the question is should they be sold, should they merge

0:14:41.000 --> 0:14:44.320
<v Speaker 3>with another company. It's a proud company with a lot

0:14:44.360 --> 0:14:45.880
<v Speaker 3>of just legacy media assets.

0:14:45.920 --> 0:14:46.880
<v Speaker 2>What do you think they should do?

0:14:48.880 --> 0:14:50.600
<v Speaker 4>That's a great question. Thanks for having me, Bob, Paul

0:14:50.640 --> 0:14:52.840
<v Speaker 4>and scholar. Nice to be with you.

0:14:51.920 --> 0:14:55.119
<v Speaker 9>You know, it's a challenging so from a business standpoint,

0:14:55.600 --> 0:14:57.200
<v Speaker 9>it seems like they have a lot of debt. I

0:14:57.240 --> 0:15:00.720
<v Speaker 9>think the plan was always to sell as you know that.

0:15:00.760 --> 0:15:03.520
<v Speaker 9>You know, they were originally Time Warner. Then there was

0:15:03.560 --> 0:15:07.160
<v Speaker 9>a sort of disastrous AOL Time Warner merger. Then they

0:15:07.160 --> 0:15:09.840
<v Speaker 9>were sold to AT and T, which didn't go well.

0:15:09.920 --> 0:15:14.120
<v Speaker 9>AT and T then spun it off with Discovery led

0:15:14.120 --> 0:15:16.520
<v Speaker 9>by David Zaslaw, and now here we are just a

0:15:16.520 --> 0:15:19.120
<v Speaker 9>few years later, once again they're for sale. So first

0:15:19.120 --> 0:15:21.080
<v Speaker 9>of all, I feel very bad for the people that

0:15:21.160 --> 0:15:25.360
<v Speaker 9>work there. It's been a really tumultuous history. But they

0:15:25.400 --> 0:15:27.760
<v Speaker 9>have to optimize the assets, right, that's their job as

0:15:27.760 --> 0:15:29.480
<v Speaker 9>it relates to the shareholders.

0:15:29.520 --> 0:15:32.120
<v Speaker 4>So I think they're trying to figure out and the exit.

0:15:32.200 --> 0:15:33.760
<v Speaker 9>I think there was a period of time where a

0:15:33.800 --> 0:15:36.000
<v Speaker 9>lot of people felt that ultimately they could wrap these

0:15:36.080 --> 0:15:38.160
<v Speaker 9>up and sell it to a big tech.

0:15:37.960 --> 0:15:39.640
<v Speaker 4>Firm that was same.

0:15:39.720 --> 0:15:43.360
<v Speaker 9>I think that was the viewpoint of Sherry Redstone, originally

0:15:43.400 --> 0:15:48.680
<v Speaker 9>with Viacom and CBS and then ultimately Paramount. So I

0:15:48.720 --> 0:15:50.640
<v Speaker 9>think they're trying to get the most value for what

0:15:50.720 --> 0:15:53.080
<v Speaker 9>they have originally. Like you had just talked earlier about

0:15:53.080 --> 0:15:57.040
<v Speaker 9>the cable assets, the plan was sort of reflecting exactly

0:15:57.120 --> 0:16:00.640
<v Speaker 9>what Comcast is doing is spinning off its cable assets versant.

0:16:01.360 --> 0:16:04.640
<v Speaker 9>The plan had been for Warner Brothers Discovery to split

0:16:04.680 --> 0:16:08.640
<v Speaker 9>the company, with their CFO taking the cable assets and

0:16:09.560 --> 0:16:13.040
<v Speaker 9>the other assets, the Warner Brothers Discovery the studio and

0:16:13.120 --> 0:16:18.040
<v Speaker 9>the HBO Max platform, the streaming platform staying as one entity.

0:16:18.280 --> 0:16:21.680
<v Speaker 9>So in that time, David Ellison has come out and

0:16:21.720 --> 0:16:25.800
<v Speaker 9>made a three successive offers. The value the soccer price

0:16:25.840 --> 0:16:30.600
<v Speaker 9>has gone up is effectively tripled since April, so you know,

0:16:30.680 --> 0:16:33.880
<v Speaker 9>their job is to do optimize the value for their shareholders,

0:16:33.880 --> 0:16:35.400
<v Speaker 9>and so I think that's what they're trying to do

0:16:35.480 --> 0:16:35.880
<v Speaker 9>right now.

0:16:36.720 --> 0:16:40.480
<v Speaker 6>So what's the value here to a Skydance Paramount or

0:16:40.520 --> 0:16:42.840
<v Speaker 6>to a Comcast or to a Netflix.

0:16:42.960 --> 0:16:44.760
<v Speaker 8>Is the IP of Warner Brothers.

0:16:45.160 --> 0:16:47.240
<v Speaker 6>You just go to the HBO app and you see

0:16:47.280 --> 0:16:49.680
<v Speaker 6>friends there, you see Game of Thrones, you see all

0:16:49.720 --> 0:16:51.840
<v Speaker 6>kinds of assets that the company owns.

0:16:52.520 --> 0:16:54.960
<v Speaker 8>That IP is valuable, But does it diminish over time?

0:16:55.000 --> 0:16:56.760
<v Speaker 6>I mean does it need to be folded into something

0:16:56.760 --> 0:16:58.520
<v Speaker 6>bigger to maximize its value?

0:17:00.040 --> 0:17:00.200
<v Speaker 7>Yeah?

0:17:00.200 --> 0:17:02.040
<v Speaker 9>Well, so you know, in anything in media, we sort

0:17:02.040 --> 0:17:04.160
<v Speaker 9>of always talked about the content and the distribution, right,

0:17:04.200 --> 0:17:06.760
<v Speaker 9>you sort of need both. You can't just have great content.

0:17:06.800 --> 0:17:08.560
<v Speaker 9>It has to be to be able to be discovered.

0:17:09.480 --> 0:17:12.400
<v Speaker 9>And as we all know from you know, following the pandemic,

0:17:12.440 --> 0:17:14.720
<v Speaker 9>our habits have changed and a lot of us now

0:17:14.800 --> 0:17:15.840
<v Speaker 9>we stream content.

0:17:16.320 --> 0:17:19.159
<v Speaker 4>So scale is helpful in that.

0:17:19.320 --> 0:17:22.160
<v Speaker 9>So one of the things the value propositions for any

0:17:22.200 --> 0:17:24.840
<v Speaker 9>of these buyers, whether it's Comcast, whether it's Netflix, whether

0:17:24.920 --> 0:17:29.120
<v Speaker 9>it's possibly Apple or certainly Paramount is you know, Paramount

0:17:29.119 --> 0:17:31.720
<v Speaker 9>plus has struggled a little bit. So pairing that with

0:17:31.880 --> 0:17:35.000
<v Speaker 9>HBO Max. You'd get a huge subscriber base, you'd get

0:17:35.040 --> 0:17:38.040
<v Speaker 9>extra content. It's not that different than what Disney did

0:17:38.080 --> 0:17:41.720
<v Speaker 9>by merging with Fox, realizing that to compete with Netflix

0:17:41.720 --> 0:17:45.080
<v Speaker 9>they need a huge amount of content. So I think

0:17:45.119 --> 0:17:47.960
<v Speaker 9>it's sort of the same playbook of scaling up having

0:17:48.040 --> 0:17:51.760
<v Speaker 9>a large, deep library that some people when you know,

0:17:51.800 --> 0:17:54.120
<v Speaker 9>we all have credit card builds, we all everyone has

0:17:54.160 --> 0:17:56.960
<v Speaker 9>to check and see how they are spending their money.

0:17:56.960 --> 0:18:00.159
<v Speaker 9>And if we're all subscribing to five or six or

0:18:00.320 --> 0:18:04.000
<v Speaker 9>seven streaming services, it becomes you know, on economics. So

0:18:04.080 --> 0:18:05.840
<v Speaker 9>I think the idea is you want to be one

0:18:05.840 --> 0:18:08.560
<v Speaker 9>of those two or three streaming services that you know

0:18:08.720 --> 0:18:09.679
<v Speaker 9>the family needs.

0:18:10.080 --> 0:18:11.720
<v Speaker 3>And Paul, what I think is one of the unique

0:18:11.720 --> 0:18:14.399
<v Speaker 3>aspects of a potential deal with Warner Brothers Discover is

0:18:14.440 --> 0:18:17.920
<v Speaker 3>you've got a CEO and a board that says basically, hey,

0:18:17.920 --> 0:18:18.920
<v Speaker 3>we're open to doing a deal.

0:18:18.960 --> 0:18:19.560
<v Speaker 4>We're for sale.

0:18:19.640 --> 0:18:21.360
<v Speaker 2>Kind of how does that play into it?

0:18:21.400 --> 0:18:25.000
<v Speaker 9>Absolutely well, well, they've they've basically said that, you know,

0:18:25.000 --> 0:18:27.760
<v Speaker 9>they've they've turned down three offers, and again the stock

0:18:27.800 --> 0:18:31.920
<v Speaker 9>price is more than tripled, so at some point they

0:18:31.960 --> 0:18:33.639
<v Speaker 9>are you know, the board is also going to have

0:18:33.720 --> 0:18:35.760
<v Speaker 9>to sort of base the music and say, you know

0:18:35.800 --> 0:18:39.520
<v Speaker 9>why they're not accepting this offer. So I think what

0:18:39.560 --> 0:18:43.200
<v Speaker 9>they're looking for, right, they're trying to, you know, elevate

0:18:43.280 --> 0:18:45.480
<v Speaker 9>you know, having more parties interested is always good in

0:18:45.520 --> 0:18:50.639
<v Speaker 9>any dynamics. So it's unclear exactly how interested Netflix or

0:18:50.680 --> 0:18:53.760
<v Speaker 9>Comcast is, but some of those assets, just like you know,

0:18:53.760 --> 0:18:57.640
<v Speaker 9>if you go to a consignment shop, there's definitely something

0:18:57.680 --> 0:18:59.960
<v Speaker 9>that would be interesting. And I think that the benefit

0:19:00.040 --> 0:19:03.280
<v Speaker 9>fit to Comcasts, Netflix, any other people, you know, giving

0:19:03.359 --> 0:19:05.680
<v Speaker 9>access to the data room there is first of all,

0:19:05.720 --> 0:19:07.920
<v Speaker 9>you learn a lot about what your competitor is doing,

0:19:08.040 --> 0:19:11.760
<v Speaker 9>so you get access to information. Two, there there is

0:19:11.840 --> 0:19:14.600
<v Speaker 9>a deal, right they may only want HBO Max, they

0:19:14.640 --> 0:19:17.600
<v Speaker 9>may only want certain IP but there's probably a deal

0:19:17.640 --> 0:19:20.040
<v Speaker 9>worth looking at. And then lastly is sort of what

0:19:20.119 --> 0:19:24.080
<v Speaker 9>Comcasts did with Disney is you might also elevate the

0:19:24.119 --> 0:19:26.040
<v Speaker 9>price for one of your competitors.

0:19:26.080 --> 0:19:27.280
<v Speaker 4>So that's not a bad thing.

0:19:27.320 --> 0:19:28.800
<v Speaker 9>It's so you sort of you know what, you're sort

0:19:28.840 --> 0:19:30.560
<v Speaker 9>of the skunk at the picnic a little bit. And

0:19:31.160 --> 0:19:33.399
<v Speaker 9>so I think all of those factor into it in

0:19:33.440 --> 0:19:36.080
<v Speaker 9>a way. But there's no reason I think it would

0:19:36.119 --> 0:19:40.000
<v Speaker 9>be it would be an obligation of duty from these

0:19:40.080 --> 0:19:42.639
<v Speaker 9>other companies not to look at it, you know, just

0:19:42.720 --> 0:19:43.080
<v Speaker 9>kick the.

0:19:43.040 --> 0:19:43.840
<v Speaker 4>Tires a little bit.

0:19:44.240 --> 0:19:47.000
<v Speaker 6>Paul Hardart does Sting Whish, Clinical Professor at nyuster In

0:19:47.000 --> 0:19:49.920
<v Speaker 6>School of Business. He is a Bloomberg Opinion contributor as well.

0:19:49.920 --> 0:19:52.440
<v Speaker 6>You can check out what he writes on the Bloomberg Terminal.

0:19:53.840 --> 0:19:58.520
<v Speaker 1>This is the Bloomberg Intelligence podcast, available on Apple, Spotify,

0:19:58.720 --> 0:20:02.200
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0:20:02.240 --> 0:20:05.960
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0:20:06.119 --> 0:20:09.639
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0:20:10.040 --> 0:20:13.000
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0:20:13.359 --> 0:20:15.640
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