WEBVTT - Dell Raises AI Server Sales Outlook While HP Cuts Jobs

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is a

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<v Speaker 1>lie from coast to coast, with Caroline Hide in New

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<v Speaker 1>York and Ed Ludlow in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. We zero in on

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<v Speaker 2>tech earnings with Dell raising its AI servership and outlook

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<v Speaker 2>well HP announces job cuts, plus Warner Brothers Discovery asking

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<v Speaker 2>bidders for sweetened offers by December first as it explores

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<v Speaker 2>options for a sale, and Nvidia in focus is Doubts

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<v Speaker 2>over the company's AI chip dominance are growing. I'm Jim

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<v Speaker 2>Centeveec in New York in for Caroline Hide and Ed Ludlow.

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<v Speaker 2>Let's get a check on markets right now. Ustocks advancing

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<v Speaker 2>as expectations for an interest rate cut at the fed's

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<v Speaker 2>next meeting are helping to fuel gains before the Thanksgiving break.

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<v Speaker 2>NAZAC one hundred up right now and look at the

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<v Speaker 2>last three days of four percent. This after both the

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<v Speaker 2>S and P five hundred and NAZAC on hundred moved

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<v Speaker 2>away from their last record highs in late October.

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<v Speaker 3>The NAZAK one hundred.

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<v Speaker 2>Down about let's say, three point six percent from that

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<v Speaker 2>all time high. The s and P five hundred, though

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<v Speaker 2>down just a little over one percent. We're also looking

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<v Speaker 2>at tech earnings with Dell and HP. Dell raising its

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<v Speaker 2>annual projections for the AI server market thanks to sustain

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<v Speaker 2>demand for machines needed in the current data boom. Meanwhile,

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<v Speaker 2>HP stock under pressure down two point two percent right now.

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<v Speaker 2>The company now it's four thousand to six thousand job

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<v Speaker 2>cuts over the next couple of years by using more

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<v Speaker 2>AI tools. For more on HP and Dell, let's bring

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<v Speaker 2>in Bloomberg's and Dina Bastina joins us here in New York.

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<v Speaker 2>I want to start with HP. Four thousand to six

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<v Speaker 2>thousand jobs sounds like a lot. And indeed, if we

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<v Speaker 2>go to the six thousand sound it's like a ten

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<v Speaker 2>percent of.

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<v Speaker 3>The company's workforce.

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<v Speaker 2>But that's through twenty twenty eight fiscal years, so we're

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<v Speaker 2>a few years away from that. And if it's AI

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<v Speaker 2>that they're going to replace these people with, AI can

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<v Speaker 2>change a lot between.

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<v Speaker 3>Now and then.

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<v Speaker 4>Sure, And to be clear, each did a similar magnitude

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<v Speaker 4>job cut over the last three years.

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<v Speaker 3>They just finished it.

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<v Speaker 4>They have these kind of periodic efficiency plans. I guess

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<v Speaker 4>what's new about this one is the idea is that

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<v Speaker 4>they are going to use AI tools and models to

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<v Speaker 4>do things like product development, customer customer service sales, and

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<v Speaker 4>that's where you're getting these job cuts. But at the

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<v Speaker 4>same time, even though they're going to be saving money

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<v Speaker 4>that way, they said they actually took they actually came

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<v Speaker 4>in below on their guide for next year for fiscal

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<v Speaker 4>fiscal year profit and that was because of a completely

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<v Speaker 4>different issue around memory price increases. So you had both

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<v Speaker 4>you have these job cuts and it's not you know,

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<v Speaker 4>making the bottom line look where people expected it would

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<v Speaker 4>come in.

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<v Speaker 2>Well, speaking of those price increases, that also hitting Dell,

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<v Speaker 2>So let's let's talk a little bit about Dell. Dell

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<v Speaker 2>is contending with despite strong demand, how is it going

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<v Speaker 2>to make its AI server business more profitable.

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<v Speaker 4>So the AI server business, and that's basically since I

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<v Speaker 4>know you're going to be talking about GPUs in a minute,

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<v Speaker 4>are the servers that have GPUs that go into these

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<v Speaker 4>AI data centers, and the demand for them has been

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<v Speaker 4>very high for Dell and other makers. Of the problem

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<v Speaker 4>is that in order to get some of these deals

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<v Speaker 4>and in order to deploy some of those servers, Dell

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<v Speaker 4>was basically incurring more significant costs. What they're trying to

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<v Speaker 4>do now is pull back from that a little bit

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<v Speaker 4>to widen the profit margin in that business. They've they

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<v Speaker 4>succeeded in the last quarter, they told me, because they

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<v Speaker 4>were able to serve a more diverse group of customers,

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<v Speaker 4>so some of those were a better, more profitable sets

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<v Speaker 4>of deals.

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<v Speaker 3>Yeah.

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<v Speaker 2>I think these rising costs are going to be the

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<v Speaker 2>same throughout the next.

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<v Speaker 3>Year as well.

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<v Speaker 2>You know, always good to see you, Welcome back to

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<v Speaker 2>New York, Happy Thanksgiving as well. Well, let's bring in

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<v Speaker 2>now in talking video because in video shares over the

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<v Speaker 2>last five days taking a hit down more than three percent.

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<v Speaker 2>The stock facing pressures as AI Chip rivals gained ground,

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<v Speaker 2>leaving investors wondering if it's dominance can be sustained. Bloomberg's

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<v Speaker 2>Ryan Vistelica joins us for more So, Ryan, I think

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<v Speaker 2>the big question that investors have after seeing what happened

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<v Speaker 2>with Alphabet in this report in the information earlier this week,

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<v Speaker 2>is can Googles TPUs actually compete with the GPUs from Nvidia?

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<v Speaker 3>What are you hearing?

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<v Speaker 5>Hey, good morning, Thanks for having me. So I would

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<v Speaker 5>say that while there are a lot of differences between

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<v Speaker 5>Innvidia's chips and alphabets. Alphabets are designed for one specific purpose,

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<v Speaker 5>which is working with AI workloads in the cloud, which

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<v Speaker 5>is really the dominant use case for a lot of

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<v Speaker 5>the AI infrastructure that's being done right now. So there

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<v Speaker 5>is certainly a very big market for the TPU chips,

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<v Speaker 5>as we saw with the Anthropic deal that was announced

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<v Speaker 5>a couple of weeks ago and with this report with Meta,

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<v Speaker 5>so that opens up potentially a huge new market for Alphabet,

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<v Speaker 5>and it does put in Vidia's market share under a

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<v Speaker 5>little bit of pressure. Now, this is still very early

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<v Speaker 5>days and it's not like Alphabet is out there selling

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<v Speaker 5>chips to people in the same way that Nvidia is,

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<v Speaker 5>but certainly people are reassessing what our market share is

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<v Speaker 5>going to look like over the coming years. And if

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<v Speaker 5>in Videas is a lot smaller than previously expected, what

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<v Speaker 5>does that mean for the stock? What does that mean

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<v Speaker 5>for the valuation? What does that mean for its expected

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<v Speaker 5>growth rates going forward?

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<v Speaker 2>Yeah, I mean the analyst community, though at this point

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<v Speaker 2>even investors may be a little concerned, but the analyst community,

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<v Speaker 2>they've still got buys on this stock. I mean, there's

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<v Speaker 2>only one analyst who's tracked by Bloomberg. Jay Goldberg over

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<v Speaker 2>at Seaport, who has a sell on in Vidia.

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<v Speaker 3>Is he changing his tune? Are these analysts changing their tune?

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<v Speaker 6>No?

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<v Speaker 5>In fact, I spoke with him yesterday and he said

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<v Speaker 5>he is more negative on Nvidia now than he was

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<v Speaker 5>a couple of weeks ago. I would say that, you know,

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<v Speaker 5>the new concerns about you know, custom silicon and new

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<v Speaker 5>rising competition for in VideA. This comes at a time

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<v Speaker 5>when people are increasingly questioning the AI trade. There is

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<v Speaker 5>a lot of debate right now about the amount of

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<v Speaker 5>spending going on, how durable is this going to be,

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<v Speaker 5>how sustainable, what kind of returns our companies see on this?

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<v Speaker 5>And if they're not seeing big returns on this investment,

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<v Speaker 5>are is a going to pull back on their AI

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<v Speaker 5>spending going forward? And VideA is really at the heart

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<v Speaker 5>of a lot of AI debate right now. And then

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<v Speaker 5>you add in this new one where what does their

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<v Speaker 5>market share look like? What about competition? That is just

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<v Speaker 5>another reason for people to be skeptical. Although analysts so

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<v Speaker 5>far are holding firm and remain pretty positive.

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<v Speaker 2>Yeah, in Vidia shares up thirty two percent over the

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<v Speaker 2>last year, Bloomberg's Ryan Vistellica. Happy Thanksgiving, Ryan, Thanks for

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<v Speaker 2>joining us. Well, let's get more on the wider tech markets.

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<v Speaker 2>Nancy Tangler, CEO and CIO of Laffer Tangler Investment. She

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<v Speaker 2>says there's more room to run for AI stocks, writing quote,

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<v Speaker 2>since we are in the early stages of the AI

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<v Speaker 2>adoption and investment cycle, we believe the providers of the technology,

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<v Speaker 2>the picks and shovels, will continue to produce enviable earnings growth.

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<v Speaker 2>Nancy joins us, Now, what's a more promising pick and

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<v Speaker 2>or shovel?

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<v Speaker 3>Is it alphabet or is it in video? Nancy?

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<v Speaker 7>Thanks, you're having tim You know, I'm actually going to

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<v Speaker 7>go We own them both, and I'm going to go

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<v Speaker 7>with Nvidia. And the reason for that is I think

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<v Speaker 7>analysts are forgetting our investors are not focusing on Kuda,

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<v Speaker 7>which is the software system that developers use around the

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<v Speaker 7>Nvidia chips, Blackwell and then soon to be Reuben and

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<v Speaker 7>I think it's analogous to Apple and the App Store.

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<v Speaker 7>So you know, it was just a handset company when

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<v Speaker 7>we were buying it. I was told that every time

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<v Speaker 7>I talked about it on the air, but it was

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<v Speaker 7>really the app store and services that we were buying,

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<v Speaker 7>and this I think is analogous to that. If they lose,

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<v Speaker 7>you know, if they go from eighty percent to seventy

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<v Speaker 7>nine percent market share, I can live with that because

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<v Speaker 7>I think the earnings growth is going to continue.

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<v Speaker 8>And let'sten forget.

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<v Speaker 7>AMD is in the wings and we also own that

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<v Speaker 7>and Broadcom which.

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<v Speaker 8>Is developing the TPUs.

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<v Speaker 7>So I think there's a lot of ways to make

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<v Speaker 7>money in this trade.

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<v Speaker 2>At what point do we move meond the so called

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<v Speaker 2>picks and shovels of the AI trade and start to

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<v Speaker 2>see the increase in i don't know efficiency, the increase

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<v Speaker 2>in productivity in non technology companies.

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<v Speaker 7>So we listened to the company's tim and let me

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<v Speaker 7>give you one great example. We've talked about it before,

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<v Speaker 7>but Walmart is our poster child of our investing theme,

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<v Speaker 7>which is an old economy company that is pivoted to

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<v Speaker 7>the new technologies and is now going to be listed

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<v Speaker 7>on the NASDAK lets. Remember, so they had six percent

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<v Speaker 7>revenue growth, pretty good for Walmart, but twenty seven percent

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<v Speaker 7>in e commerce That was also interesting to me. But

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<v Speaker 7>what really got my attention was that delivery speeds were

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<v Speaker 7>thirty five percent of digital orders are arriving in under

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<v Speaker 7>three hours. They're also using automation in the fulfillment center,

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<v Speaker 7>so fifty percent of their orders are fulfilled automatically via robot.

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<v Speaker 7>We own the company that did all that for them, Symbotic,

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<v Speaker 7>So that's a second or maybe even third derivative player

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<v Speaker 7>in AI.

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<v Speaker 8>So I think it's broadening out. We're hearing it from

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<v Speaker 8>all across.

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<v Speaker 7>You know, Raytheon talked about how they were utilizing AI

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<v Speaker 7>in order to improve supply supply log.

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<v Speaker 9>Jams that's a stock we own, and TGLR, all of

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<v Speaker 9>these we own there actually, So I think it's important

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<v Speaker 9>to start listening to the companies paying attention to who's

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<v Speaker 9>seeing margin expansion, and we're definitely seeing it at the

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<v Speaker 9>company level.

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<v Speaker 3>Nancy.

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<v Speaker 2>If we were talking a week ago, I think we'd

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<v Speaker 2>have started our conversation focused on the idea of a bubble,

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<v Speaker 2>maybe concerns about CAPEX spending, the handwringing that we saw

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<v Speaker 2>last week over some of these valuations that has seemed

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<v Speaker 2>to receded received just a little bit this week. But

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<v Speaker 2>you've been through multiple cycles and I'm wondering how you

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<v Speaker 2>view the whole AI bubble talk right now, compared to

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<v Speaker 2>let's say, the tech boom of the late nineties and

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<v Speaker 2>bust as well.

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<v Speaker 10>Well.

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<v Speaker 7>I wish I was as clever as ed Yar Danny

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<v Speaker 7>because he coined this phrase too, But I wrote a

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<v Speaker 7>piece called the bubble and Bubble Talk.

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<v Speaker 8>I think it's important to note a couple of things.

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<v Speaker 7>In the nineties, from ninety six to two thousand, the

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<v Speaker 7>growth stocks that whose valuations were skyrocketing were actually experiencing

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<v Speaker 7>contracting earnings.

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<v Speaker 8>We're not seeing that now. Growth. The growth stocks in.

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<v Speaker 7>This particular technological revolution are experiencing about twenty percent growth

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<v Speaker 7>on average. Cap X was also something that was healthy

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<v Speaker 7>and then accelerated through the entire decade. We're just now

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<v Speaker 7>starting to see that ramp up in the last couple

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<v Speaker 7>of years.

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<v Speaker 8>So I think it's important.

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<v Speaker 7>And then these companies have fortress balance sheets and all this.

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<v Speaker 7>I don't want to say I am going to say

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<v Speaker 7>nonsense around Oracle. I think it's important to remember that

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<v Speaker 7>this is a company that's always had a ton of debt.

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<v Speaker 7>Debt to equity was four hundred and twenty seven percent

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<v Speaker 7>at the end of the quarter. That's down from seven

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<v Speaker 7>hundred and eighty percent year over year. This is all

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<v Speaker 7>before they issued the eighteen billion dollars in debt for

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<v Speaker 7>the open Ai data center build out. That this company

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<v Speaker 7>has a history of using debt. But the PPE is

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<v Speaker 7>up one hundred and thirty percent year over year, while

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<v Speaker 7>debt is only up nine So debt to equity will decline.

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<v Speaker 2>So you're not concerned at all about the price of

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<v Speaker 2>five year CDSS for Oracle rising to the highest going

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<v Speaker 2>back to October twenty twenty two. That's not concerning you.

0:11:23.920 --> 0:11:24.200
<v Speaker 11>It is.

0:11:24.280 --> 0:11:25.360
<v Speaker 8>It's a par trade though.

0:11:25.559 --> 0:11:28.560
<v Speaker 7>What concerns me more is the concentration in the market

0:11:28.640 --> 0:11:31.720
<v Speaker 7>around open Ai, and I think that has to sort

0:11:31.760 --> 0:11:34.680
<v Speaker 7>itself out now. Such in a della would tell you

0:11:34.720 --> 0:11:37.120
<v Speaker 7>that data centers are fungible. If we don't use it

0:11:37.160 --> 0:11:39.640
<v Speaker 7>for this, we'll use it for that, and I think

0:11:39.679 --> 0:11:44.000
<v Speaker 7>that's certainly true. But I am concerned about the SPEN.

0:11:44.120 --> 0:11:46.120
<v Speaker 7>I mean, that's a company with a burn rate, right

0:11:46.559 --> 0:11:51.520
<v Speaker 7>open Ai ten billion revenues and trillions and spend. Oracle

0:11:51.559 --> 0:11:55.560
<v Speaker 7>has other businesses they can change shift directions use data

0:11:55.559 --> 0:11:56.720
<v Speaker 7>center for cloud computing.

0:11:57.200 --> 0:11:58.640
<v Speaker 8>I don't like the par trade, but.

0:11:58.640 --> 0:12:00.640
<v Speaker 7>I think we were added to it a couple of

0:12:00.679 --> 0:12:03.240
<v Speaker 7>days ago and I think I think from here we're

0:12:03.240 --> 0:12:07.000
<v Speaker 7>going to be talking about fundamentals instead of it became

0:12:07.040 --> 0:12:10.480
<v Speaker 7>the post, it became the narrative stock for this.

0:12:10.480 --> 0:12:13.240
<v Speaker 8>This bubble is overdone. We're not in a bubble.

0:12:13.360 --> 0:12:15.720
<v Speaker 2>Yeah, those September highs that we saw for Oracle, I

0:12:15.720 --> 0:12:18.680
<v Speaker 2>mean we're done significantly from those, but still up seven

0:12:18.720 --> 0:12:20.160
<v Speaker 2>percent over the last year.

0:12:20.160 --> 0:12:21.679
<v Speaker 3>In about twenty percent so far this year.

0:12:21.720 --> 0:12:24.920
<v Speaker 2>Nancy Tangler of Laffer Tangler Investments always good to see

0:12:24.920 --> 0:12:28.080
<v Speaker 2>you happy Thanksgiving. Well, Uber is going to begin offering

0:12:28.160 --> 0:12:30.559
<v Speaker 2>driver list trips and we ride vehicles around parts of

0:12:30.600 --> 0:12:33.600
<v Speaker 2>Abu Dhabi. The new milestone follows the two companies first

0:12:33.640 --> 0:12:36.480
<v Speaker 2>launching a ride service with safety operators behind the wheel

0:12:36.520 --> 0:12:39.400
<v Speaker 2>almost a year ago. They intend to expand their driver

0:12:39.440 --> 0:12:42.480
<v Speaker 2>list vehicle operating territory at Abu Dhabi and extend their

0:12:42.520 --> 0:12:47.280
<v Speaker 2>partnership to Dubai soon. Well, coming up, holiday shopping season

0:12:47.360 --> 0:12:50.520
<v Speaker 2>is here and with it new online scams. We're going

0:12:50.559 --> 0:12:52.240
<v Speaker 2>to discuss what to look out for it how to

0:12:52.240 --> 0:12:53.280
<v Speaker 2>protect yourself next.

0:12:53.520 --> 0:12:54.680
<v Speaker 3>This is Bloomberg Tech.

0:13:07.040 --> 0:13:09.920
<v Speaker 2>Holiday shopping sales seem to start earlier and earlier, but

0:13:10.000 --> 0:13:12.960
<v Speaker 2>this year's Black Friday and Cyber Monday deals might not

0:13:13.040 --> 0:13:16.360
<v Speaker 2>be a steep. Bloomberg opinion columnist Andrea Felstaid has a

0:13:16.360 --> 0:13:19.520
<v Speaker 2>peace out, and she writes that tariffs will cause retailers

0:13:19.559 --> 0:13:23.040
<v Speaker 2>to offer smaller discounts. In the quest for deals, shoppers

0:13:23.040 --> 0:13:25.400
<v Speaker 2>may be tempted to turn to new websites or click

0:13:25.480 --> 0:13:28.640
<v Speaker 2>ads for deals that turn out to be scams. Teresa

0:13:28.679 --> 0:13:31.680
<v Speaker 2>Payton is former White House CIO and current CEO of

0:13:31.679 --> 0:13:33.760
<v Speaker 2>the cybersecurity firm Forderless Solutions.

0:13:34.120 --> 0:13:36.400
<v Speaker 3>She joins us for more good to have you on

0:13:36.440 --> 0:13:37.040
<v Speaker 3>the program.

0:13:37.160 --> 0:13:39.800
<v Speaker 2>You know, I'm always thinking that we're in this day

0:13:39.840 --> 0:13:42.640
<v Speaker 2>and age where it can easily become victims of fraud

0:13:42.720 --> 0:13:45.400
<v Speaker 2>or victims of scams. But why does it happen with

0:13:45.520 --> 0:13:48.960
<v Speaker 2>increased frequency during heavy shoppy seasons like Black Friday.

0:13:50.080 --> 0:13:52.960
<v Speaker 12>Well, we're all busy and many of us are looking

0:13:53.000 --> 0:13:55.760
<v Speaker 12>for extra deals and extra bargains this year, like you

0:13:55.840 --> 0:14:00.240
<v Speaker 12>mentioned earlier, because of the tariffs, and with that, we're

0:14:00.280 --> 0:14:04.400
<v Speaker 12>getting bombarded on social media with things that look really

0:14:04.440 --> 0:14:06.960
<v Speaker 12>cool and hot, and we want to make sure we

0:14:07.000 --> 0:14:09.920
<v Speaker 12>get the deal, we get it quickly before they run out.

0:14:10.480 --> 0:14:15.199
<v Speaker 12>And don't forget, criminals and fraudsters now have AI as

0:14:15.200 --> 0:14:17.520
<v Speaker 12>a tool at their fingertips, and so it's making it

0:14:17.760 --> 0:14:20.360
<v Speaker 12>very cost effective for them to target you and me

0:14:20.440 --> 0:14:21.640
<v Speaker 12>while we do our holiday shop.

0:14:21.720 --> 0:14:22.800
<v Speaker 2>Okay, so I want to get to what we can

0:14:22.840 --> 0:14:24.800
<v Speaker 2>do to protect ourselves. But before we do that, Teresa,

0:14:24.880 --> 0:14:27.240
<v Speaker 2>how are they using AI to target us? What does

0:14:27.240 --> 0:14:29.000
<v Speaker 2>that look like? And how could that look differently than

0:14:29.040 --> 0:14:30.080
<v Speaker 2>the scams that we're used to.

0:14:30.880 --> 0:14:34.760
<v Speaker 12>Yeah, so they're basically reverse engineering websites that you or

0:14:34.760 --> 0:14:37.640
<v Speaker 12>I might go to, the legitimate websites, and then they're

0:14:37.960 --> 0:14:41.160
<v Speaker 12>doing things like a play on the name and then

0:14:41.200 --> 0:14:46.320
<v Speaker 12>setting up imposter social media accounts and basically jumping.

0:14:46.000 --> 0:14:46.720
<v Speaker 10>Into your feed.

0:14:46.840 --> 0:14:49.520
<v Speaker 12>Then you follow this great deal and then the next

0:14:49.560 --> 0:14:51.920
<v Speaker 12>thing you know, you're buying from a scammer or a

0:14:52.000 --> 0:14:54.480
<v Speaker 12>fraudster and not from the actual website that you think

0:14:54.520 --> 0:14:59.360
<v Speaker 12>you're visiting. They're also spinning up businesses using bots to

0:14:59.400 --> 0:15:02.200
<v Speaker 12>actually give them them sells great reviews. So it all

0:15:02.240 --> 0:15:04.640
<v Speaker 12>looks like it's on the up and up, But just

0:15:04.720 --> 0:15:06.720
<v Speaker 12>a little bit of diligence and a little bit of research,

0:15:06.760 --> 0:15:09.280
<v Speaker 12>you'll be able to figure out and spot the scam

0:15:09.400 --> 0:15:11.280
<v Speaker 12>sites and the fraud sites pretty easily.

0:15:11.360 --> 0:15:14.000
<v Speaker 2>Okay, you mentioned diligence and research. You shared with our

0:15:14.040 --> 0:15:18.120
<v Speaker 2>team reputation checkers for websites. I'd never actually even heard

0:15:18.160 --> 0:15:21.120
<v Speaker 2>of these or used them before. Should these be part

0:15:21.160 --> 0:15:24.000
<v Speaker 2>of our diet when it comes to healthy shopping?

0:15:24.800 --> 0:15:26.840
<v Speaker 12>Yeah, I love the fact that you brought this up

0:15:26.880 --> 0:15:31.280
<v Speaker 12>because I personally use these websites, especially if I'm going

0:15:31.280 --> 0:15:33.720
<v Speaker 12>to a site I've never ordered from before. Even if

0:15:33.760 --> 0:15:35.960
<v Speaker 12>I have a friend or a relative tell me they've

0:15:36.040 --> 0:15:39.840
<v Speaker 12>used a site, so things like scam Advisor, you aurl, Void,

0:15:40.320 --> 0:15:42.920
<v Speaker 12>trust Pilot, and I will post these on my social

0:15:42.960 --> 0:15:46.960
<v Speaker 12>media accounts. These websites will actually tell you how old

0:15:46.960 --> 0:15:50.360
<v Speaker 12>the domain name is. It could be legitimately a brand

0:15:50.400 --> 0:15:53.320
<v Speaker 12>new business, or it might be a scamra frauds, you're

0:15:53.360 --> 0:15:54.720
<v Speaker 12>taking advantage of holidays.

0:15:55.080 --> 0:15:56.119
<v Speaker 10>So it'll also.

0:15:55.880 --> 0:16:00.520
<v Speaker 12>Tell you whether or not security companies or consumers reported

0:16:00.640 --> 0:16:01.840
<v Speaker 12>issues with these sites.

0:16:02.080 --> 0:16:04.520
<v Speaker 10>And of course old school still rules.

0:16:05.000 --> 0:16:07.680
<v Speaker 12>The Better Business Bureau is a great place to check

0:16:07.720 --> 0:16:08.920
<v Speaker 12>on a domain name as well.

0:16:09.040 --> 0:16:12.120
<v Speaker 2>Okay, so I think that for me, at least one

0:16:12.160 --> 0:16:14.760
<v Speaker 2>area that I always think of as a backstop is

0:16:15.360 --> 0:16:18.680
<v Speaker 2>the way I pay. And I'm only using credit cards

0:16:19.040 --> 0:16:21.560
<v Speaker 2>on these websites because I feel like if I have

0:16:21.640 --> 0:16:25.480
<v Speaker 2>an issue then I can just call my credit card

0:16:25.560 --> 0:16:29.080
<v Speaker 2>company and they can protect me. Are people using other

0:16:29.120 --> 0:16:32.160
<v Speaker 2>payment solutions that might not have that same level of protection.

0:16:33.240 --> 0:16:35.160
<v Speaker 10>Yeah, this is the tough part, and I agree with you.

0:16:35.320 --> 0:16:38.960
<v Speaker 12>I only use a credit card when I am shopping online.

0:16:39.040 --> 0:16:42.280
<v Speaker 12>I do not use my debit card. I don't use

0:16:42.360 --> 0:16:46.680
<v Speaker 12>gift cards to shop online. What's happening is a lot

0:16:46.720 --> 0:16:49.840
<v Speaker 12>of these scam sites and fraud sites will say things

0:16:49.920 --> 0:16:54.320
<v Speaker 12>like we only accept Venmo or zell, we only accept

0:16:54.560 --> 0:16:58.800
<v Speaker 12>gift cards, we only accept wire transfers. So they might say, well,

0:16:58.960 --> 0:17:01.360
<v Speaker 12>for this to work, we're international, we have to have

0:17:01.400 --> 0:17:04.960
<v Speaker 12>a wire transfer. These are red flags when a merchant

0:17:05.040 --> 0:17:07.840
<v Speaker 12>tells you they will only accept those form of payment

0:17:07.920 --> 0:17:11.520
<v Speaker 12>and they won't accept credit card. Chances are you're dealing

0:17:11.520 --> 0:17:14.520
<v Speaker 12>with a fraudster because they know the credit card companies

0:17:14.520 --> 0:17:17.399
<v Speaker 12>will actually come after them and shut them down, so

0:17:17.440 --> 0:17:19.600
<v Speaker 12>they want you to use these other forms of payment.

0:17:20.000 --> 0:17:22.520
<v Speaker 2>Other red flags maybe a price is too good to

0:17:22.560 --> 0:17:23.680
<v Speaker 2>be true.

0:17:23.920 --> 0:17:26.920
<v Speaker 12>Yeah, So if you see things like seventy to ninety

0:17:26.920 --> 0:17:31.560
<v Speaker 12>percent off during the holiday season, that is typically a

0:17:31.600 --> 0:17:34.160
<v Speaker 12>red flag. Now, unless you're on sort of a household

0:17:34.280 --> 0:17:38.159
<v Speaker 12>name website that you navigated to on your own, you

0:17:38.200 --> 0:17:40.440
<v Speaker 12>didn't follow a link in social media, you didn't follow

0:17:40.520 --> 0:17:41.959
<v Speaker 12>link in an email or text.

0:17:42.400 --> 0:17:44.640
<v Speaker 10>So if it's too good to be true, also look

0:17:44.640 --> 0:17:47.399
<v Speaker 10>at that domain name. When in doubt.

0:17:47.560 --> 0:17:50.560
<v Speaker 12>There's a website called VirusTotal dot com. You can use

0:17:50.600 --> 0:17:53.639
<v Speaker 12>it for free. Copy and paste that website in there,

0:17:53.840 --> 0:17:56.400
<v Speaker 12>and it'll actually evaluate the URL and tell you whether

0:17:56.480 --> 0:17:58.640
<v Speaker 12>or not you might be dealing with the scam site.

0:17:58.760 --> 0:18:00.840
<v Speaker 2>Okay, Teresa, before we let you go, if you do

0:18:01.000 --> 0:18:05.320
<v Speaker 2>somehow become a victim of not necessarily a cyber attack,

0:18:05.440 --> 0:18:08.680
<v Speaker 2>but maybe an attack on your identity or some sort

0:18:08.720 --> 0:18:10.520
<v Speaker 2>of scam, what should be the first thing you do?

0:18:11.400 --> 0:18:13.440
<v Speaker 12>Yeah, first thing you do is you want to call

0:18:13.480 --> 0:18:16.240
<v Speaker 12>your bank. So whatever payment method you used, you need

0:18:16.280 --> 0:18:18.560
<v Speaker 12>to lock down your life. The next thing to think

0:18:18.560 --> 0:18:21.240
<v Speaker 12>about is actually you can report it at the FBI,

0:18:21.280 --> 0:18:24.639
<v Speaker 12>to IC three dot gov and the FTC FTC dot gov.

0:18:25.080 --> 0:18:28.280
<v Speaker 12>But also there is a nonprofit resource that is free

0:18:28.280 --> 0:18:32.199
<v Speaker 12>to use called the Identity Resource Theft Center. It's a

0:18:32.240 --> 0:18:36.359
<v Speaker 12>great nonprofit. I've referred people there and they will actually

0:18:36.359 --> 0:18:37.320
<v Speaker 12>give you a checklist.

0:18:38.160 --> 0:18:39.639
<v Speaker 10>You can talk to a real human.

0:18:39.359 --> 0:18:41.800
<v Speaker 12>Being and work on getting your peace of mind and

0:18:41.840 --> 0:18:42.879
<v Speaker 12>your identity back.

0:18:43.520 --> 0:18:46.800
<v Speaker 2>Teresa, Payton, CEO of Forder Lists Solutions, thank you so

0:18:46.880 --> 0:18:48.240
<v Speaker 2>much for joining us.

0:18:48.840 --> 0:18:49.359
<v Speaker 3>Coming out, the.

0:18:49.400 --> 0:18:52.320
<v Speaker 2>US face is a potential electricity crisis due to a

0:18:52.400 --> 0:18:55.600
<v Speaker 2>surge in demand to power AI data centers. We've got

0:18:55.600 --> 0:19:12.320
<v Speaker 2>the details. Next, this is Bloomberg Tech. Well, today we

0:19:12.359 --> 0:19:14.560
<v Speaker 2>take a look at America's power system. It was already

0:19:14.600 --> 0:19:18.160
<v Speaker 2>under stress even before the AI boom. Now with AI

0:19:18.280 --> 0:19:21.800
<v Speaker 2>data centers coming online, a new Schneider Electric analysis foresees

0:19:21.840 --> 0:19:25.520
<v Speaker 2>the US facing a potential electricity crisis. This is the

0:19:25.640 --> 0:19:28.800
<v Speaker 2>surgeon demand comes at odds with the reality of aged

0:19:28.840 --> 0:19:33.080
<v Speaker 2>and vulnerable grids. Bloomberg's ESG reporter Alistair Marsh joins us

0:19:33.080 --> 0:19:38.080
<v Speaker 2>from No More. Alistair, how does electricity crisis manifest in

0:19:38.160 --> 0:19:41.440
<v Speaker 2>the United States? Certainly higher bills as part of that,

0:19:41.480 --> 0:19:44.600
<v Speaker 2>but are we talking rolling blackouts here for many Americans?

0:19:46.680 --> 0:19:50.400
<v Speaker 13>Well, essentially, the Schneider Electric data shows that the massive

0:19:50.440 --> 0:19:52.840
<v Speaker 13>amount of power demands to power demand in the US

0:19:52.840 --> 0:19:55.560
<v Speaker 13>has basically been flat for about two decades, and all

0:19:55.600 --> 0:20:00.240
<v Speaker 13>of a sudden with the advent of Aisle, the last

0:20:00.240 --> 0:20:03.399
<v Speaker 13>AI acceleration that we're seeing in the US, with the

0:20:03.440 --> 0:20:05.560
<v Speaker 13>billions of dollars of kpex being put to work and

0:20:05.600 --> 0:20:07.720
<v Speaker 13>the mass build out of data centers. You suddenly have

0:20:07.840 --> 0:20:11.600
<v Speaker 13>this surge in demand. Add to that increase electrification, add

0:20:11.640 --> 0:20:14.480
<v Speaker 13>to that onsurine of manufacturing, and you suddenly have this

0:20:14.520 --> 0:20:18.800
<v Speaker 13>sort of crisis moment where the energy infrastructure in the

0:20:18.920 --> 0:20:21.000
<v Speaker 13>US has not been invested in and not been built

0:20:21.040 --> 0:20:26.000
<v Speaker 13>out particularly aggressively for a period meets a very aggressive

0:20:26.119 --> 0:20:28.240
<v Speaker 13>build out of AI, and so we're going to reach,

0:20:28.440 --> 0:20:30.359
<v Speaker 13>according to the Schneider data, we're going to reach a

0:20:30.400 --> 0:20:32.919
<v Speaker 13>crunch point in about three years, in twenty twenty eight.

0:20:33.000 --> 0:20:36.439
<v Speaker 13>That's the moment they say that the supply available on

0:20:36.480 --> 0:20:38.200
<v Speaker 13>the system will not be able to will no longer

0:20:38.200 --> 0:20:40.879
<v Speaker 13>be able to meet demand unless we start eating into

0:20:41.359 --> 0:20:45.040
<v Speaker 13>emergency reserves of power which you are saved from moments

0:20:45.040 --> 0:20:47.840
<v Speaker 13>of extreme weather or cyber attacks and so forth, all

0:20:47.840 --> 0:20:49.879
<v Speaker 13>of which means that the grid is basically going to

0:20:49.920 --> 0:20:53.520
<v Speaker 13>become under increased strain and going to be increasingly vulnerable.

0:20:53.680 --> 0:20:56.119
<v Speaker 2>You cover ESG for Bloomberg News. You're joining us from London.

0:20:56.160 --> 0:20:57.320
<v Speaker 2>I'm not going to make your wigh in on the

0:20:57.320 --> 0:21:00.399
<v Speaker 2>politics of infrastructure spending here in the United States, but

0:21:00.760 --> 0:21:04.480
<v Speaker 2>it's very political, like so much spending is is there

0:21:04.560 --> 0:21:07.399
<v Speaker 2>foreseeably a way that even if the US had the money,

0:21:08.040 --> 0:21:13.240
<v Speaker 2>they could reliably upgrade the grid's weak points with enough

0:21:14.359 --> 0:21:16.760
<v Speaker 2>in enough time to be ready for this surge.

0:21:18.680 --> 0:21:21.000
<v Speaker 13>A short answer is no, I mean you're kind to

0:21:21.440 --> 0:21:24.000
<v Speaker 13>let me not weigh into the US politics, But there

0:21:24.080 --> 0:21:27.200
<v Speaker 13>is both a political issue here. I mean, you see

0:21:27.240 --> 0:21:30.359
<v Speaker 13>it with the recently power prices are on the ballot

0:21:30.359 --> 0:21:32.680
<v Speaker 13>in New Jersey, and they'll be increasingly on the ballot,

0:21:32.880 --> 0:21:35.199
<v Speaker 13>and that could turn against the AI build out if

0:21:35.200 --> 0:21:37.800
<v Speaker 13>there's a sort of political groundswell against that. But also

0:21:37.800 --> 0:21:41.240
<v Speaker 13>there's a geopolitical element here where the US is in

0:21:41.280 --> 0:21:44.199
<v Speaker 13>a race with China to be kind of the AI superpower,

0:21:44.600 --> 0:21:48.280
<v Speaker 13>and China has Why you could argue that the US

0:21:48.320 --> 0:21:51.080
<v Speaker 13>has the advantage in terms of tech and chips, actually

0:21:51.160 --> 0:21:54.560
<v Speaker 13>China has a structural advantage with cheaper, abundant power, and

0:21:54.600 --> 0:21:57.760
<v Speaker 13>that might be, according to some analysts, something that wins

0:21:57.760 --> 0:21:59.840
<v Speaker 13>out in the long run. And so what Schneider is

0:21:59.840 --> 0:22:03.080
<v Speaker 13>saying here to go back to actually answer your question

0:22:03.600 --> 0:22:05.960
<v Speaker 13>is that no, you can't fix us in the three

0:22:06.040 --> 0:22:09.440
<v Speaker 13>year period because you can't build enough generation and enough

0:22:09.480 --> 0:22:11.800
<v Speaker 13>transmission in that period because most of those projects will

0:22:11.800 --> 0:22:14.320
<v Speaker 13>take ten years to build. Therefore, you need to find

0:22:14.359 --> 0:22:17.680
<v Speaker 13>ways at the margin what are sometimes called grid enhancing technologies,

0:22:17.840 --> 0:22:22.199
<v Speaker 13>battery storage, micro grids, other things that can kind of

0:22:22.200 --> 0:22:26.840
<v Speaker 13>build out extra capacity to that don't require those large,

0:22:26.920 --> 0:22:29.760
<v Speaker 13>long infrastructure buildouts that just won't be ready in time.

0:22:30.160 --> 0:22:33.679
<v Speaker 2>Bloomberg's Alistair Marsh joining us from London. Alistair mentioned the

0:22:33.720 --> 0:22:36.680
<v Speaker 2>political implications of this. Do you check out Bloomberg Opinion

0:22:36.920 --> 0:22:39.480
<v Speaker 2>and Connorson had an interesting story just in the last

0:22:39.480 --> 0:22:42.280
<v Speaker 2>few days about what happened in Georgia. Hey, coming up next,

0:22:42.320 --> 0:22:45.320
<v Speaker 2>we're going to speak with CFR senior equity analyst Angela

0:22:45.400 --> 0:22:49.600
<v Speaker 2>Zeno as investors begin to question longevity of the AI trade.

0:22:49.720 --> 0:23:04.280
<v Speaker 2>This is Bloomberg Tech. Welcome back to Bloomberg Tech. I'm

0:23:04.320 --> 0:23:06.640
<v Speaker 2>Tim Steneveek in New York in for Caroline Hide and

0:23:06.720 --> 0:23:09.640
<v Speaker 2>at Ludlow. Let's take a look at the markets. Checking

0:23:09.640 --> 0:23:12.800
<v Speaker 2>out the NASAQ one hundred slightly up on the day today,

0:23:12.960 --> 0:23:17.120
<v Speaker 2>hopes of a FED rate cut in the December meeting. Meanwhile,

0:23:17.160 --> 0:23:20.119
<v Speaker 2>also taking a look at alphabet in Nvidia. In Vidia

0:23:20.160 --> 0:23:22.919
<v Speaker 2>facing concerns that its market share and semis used in

0:23:22.960 --> 0:23:26.760
<v Speaker 2>AI computing is slipping following a report suggesting Google's AI

0:23:26.800 --> 0:23:29.560
<v Speaker 2>processors are gaining ground. Google down on the day one

0:23:29.600 --> 0:23:33.080
<v Speaker 2>point two percent, in Vidia higher by one point eight percent.

0:23:33.640 --> 0:23:36.639
<v Speaker 2>This comes as in video celebrated Google's achievement earlier today,

0:23:36.720 --> 0:23:39.520
<v Speaker 2>but also saying the chip makers still quote a generation

0:23:39.600 --> 0:23:42.920
<v Speaker 2>ahead of the industry. It's the only platform that runs

0:23:42.960 --> 0:23:46.760
<v Speaker 2>every AI model and does it everywhere computing is done.

0:23:46.800 --> 0:23:49.119
<v Speaker 2>This is a tweet from the Nvidia newsroom or a

0:23:49.160 --> 0:23:51.720
<v Speaker 2>post on acts I should say from the Nvidia newsroom.

0:23:51.920 --> 0:23:55.480
<v Speaker 2>Let's get more with Bloomberg Equities reporter Carmen Reinikey. Carmen

0:23:55.560 --> 0:23:59.719
<v Speaker 2>does seem like investors are starting to feel like Alphabet's

0:23:59.720 --> 0:24:03.200
<v Speaker 2>Google could be gaining when it comes to market share

0:24:03.400 --> 0:24:04.840
<v Speaker 2>in what Invidia.

0:24:04.480 --> 0:24:05.840
<v Speaker 3>Has absolutely ruled.

0:24:05.880 --> 0:24:08.959
<v Speaker 2>But still the analyst community community at this point is

0:24:09.000 --> 0:24:10.119
<v Speaker 2>not really convinced.

0:24:10.200 --> 0:24:13.560
<v Speaker 3>What are your sources telling you, Yeah, that's really true.

0:24:13.560 --> 0:24:16.360
<v Speaker 6>I mean, I think in Nvidia is really still so dominant.

0:24:16.359 --> 0:24:18.199
<v Speaker 6>And that's what we're seeing from analysts.

0:24:18.240 --> 0:24:19.000
<v Speaker 8>You know, even though.

0:24:18.920 --> 0:24:22.399
<v Speaker 6>There's been sort of these questions about the AI trade

0:24:22.560 --> 0:24:25.719
<v Speaker 6>and you know, Google's chips coming in being more competition,

0:24:26.280 --> 0:24:29.200
<v Speaker 6>analysts have actually raised their estimates for Nvidia going forward.

0:24:29.280 --> 0:24:30.280
<v Speaker 8>You know, it's last.

0:24:30.080 --> 0:24:34.199
<v Speaker 6>Quarter was so good, had this huge revenue forecast, and

0:24:34.320 --> 0:24:35.840
<v Speaker 6>you know, we're seeing a little bit of a relief

0:24:35.960 --> 0:24:38.680
<v Speaker 6>rally in the shares today. It's gotten pretty beaten down,

0:24:38.760 --> 0:24:41.120
<v Speaker 6>but dip buyers are you know, starting to come back in.

0:24:41.440 --> 0:24:42.560
<v Speaker 10>And then on the flip side.

0:24:42.359 --> 0:24:45.200
<v Speaker 6>We're seeing you know, Google actually dip a little bit today. Now,

0:24:45.280 --> 0:24:47.840
<v Speaker 6>of course it was it's been at a record high,

0:24:47.880 --> 0:24:51.159
<v Speaker 6>so that's that's no surprise. But really, you know, in

0:24:51.200 --> 0:24:53.640
<v Speaker 6>Nvidia does seem to still remain on top, and it's

0:24:53.640 --> 0:24:55.639
<v Speaker 6>one that we're going to continue watching as really the

0:24:55.680 --> 0:24:57.199
<v Speaker 6>dominant player in the AI space.

0:24:57.359 --> 0:24:59.680
<v Speaker 2>Dominant player in the AI space. But in terms of

0:24:59.720 --> 0:25:04.120
<v Speaker 2>stock performance this year, Alphabet has just been remarkable, close

0:25:04.160 --> 0:25:07.280
<v Speaker 2>to seventy percent increase so far this year. In Vidia

0:25:07.520 --> 0:25:10.480
<v Speaker 2>up about thirty five percent. That's nothing to shake a

0:25:10.520 --> 0:25:14.960
<v Speaker 2>stick at. Also, Alphabet approaching a four trillion dollar marketcap.

0:25:15.119 --> 0:25:18.560
<v Speaker 2>We're in videos, you know, above four trillion dollars. Are

0:25:18.600 --> 0:25:21.920
<v Speaker 2>analysts more bullish on in video? Are they more bullish

0:25:21.960 --> 0:25:23.119
<v Speaker 2>when it comes to Alphabet?

0:25:24.320 --> 0:25:26.320
<v Speaker 6>You know, I think analysts are really bullish across the

0:25:26.320 --> 0:25:28.960
<v Speaker 6>board on both companies. You know, they're so big and

0:25:28.960 --> 0:25:32.040
<v Speaker 6>they do so many things so well. But you know,

0:25:32.080 --> 0:25:34.680
<v Speaker 6>the market cap thing is really interesting. We're watching all

0:25:34.720 --> 0:25:38.000
<v Speaker 6>of those companies very closely. You know, it's always been

0:25:38.040 --> 0:25:41.880
<v Speaker 6>sort of Apple and in Vidia jockeying for the top spot,

0:25:41.960 --> 0:25:43.800
<v Speaker 6>you know, the biggest company in the world. But you know,

0:25:43.840 --> 0:25:47.320
<v Speaker 6>Google's really in the mix now, so it'll be really

0:25:47.320 --> 0:25:49.760
<v Speaker 6>interesting to see sort of where we end up this year.

0:25:50.119 --> 0:25:52.960
<v Speaker 6>You're right, Google's stock has done so well. I think

0:25:53.000 --> 0:25:55.480
<v Speaker 6>it's still the top performing stock in the meg seven,

0:25:55.520 --> 0:25:59.680
<v Speaker 6>really kind of taking over in Video's place there. But yeah, overall,

0:25:59.760 --> 0:26:02.600
<v Speaker 6>you know, so Wall Street is very bullish on these

0:26:02.840 --> 0:26:05.280
<v Speaker 6>on these stocks, and I think in Vidia still only

0:26:05.320 --> 0:26:09.280
<v Speaker 6>really has one bear on Wall Street, who just boosted

0:26:09.320 --> 0:26:12.200
<v Speaker 6>his estimates, you know, for the company's earnings going forward.

0:26:12.280 --> 0:26:12.440
<v Speaker 3>Yeah.

0:26:12.520 --> 0:26:16.040
<v Speaker 2>Jay Goldberg over at cpour Research that lonely in Vidia bear,

0:26:16.080 --> 0:26:19.359
<v Speaker 2>but he's sticking by his call. Bloomberg's harmon Ryanikey joining us.

0:26:19.359 --> 0:26:22.280
<v Speaker 2>Happy holidays, Carmen, appreciate you joining us today. Hey, let's

0:26:22.280 --> 0:26:24.879
<v Speaker 2>get more on the market movements with Angelo Zeno, senior

0:26:24.960 --> 0:26:28.679
<v Speaker 2>equity analyst at CFI Research. Angela, what do you make

0:26:28.720 --> 0:26:31.879
<v Speaker 2>of this sort of race between Alphabet and in Video

0:26:31.880 --> 0:26:33.879
<v Speaker 2>that we've seen play out over the last couple of days.

0:26:33.880 --> 0:26:37.080
<v Speaker 2>The narrative shift that hey, wait, a second Alphabet with

0:26:37.119 --> 0:26:39.800
<v Speaker 2>a ten year old product might actually have something that

0:26:39.800 --> 0:26:41.800
<v Speaker 2>could compete within Video's GPUs.

0:26:41.840 --> 0:26:42.399
<v Speaker 3>Do you buy it?

0:26:43.520 --> 0:26:43.760
<v Speaker 8>Yeah?

0:26:43.800 --> 0:26:45.520
<v Speaker 14>And thanks for having me, Tim. The way I look

0:26:45.560 --> 0:26:48.760
<v Speaker 14>at this is, listen, in Video's had the ninety percent

0:26:48.840 --> 0:26:52.640
<v Speaker 14>plus market share on the computer side right with their GPUs.

0:26:53.280 --> 0:26:55.199
<v Speaker 14>Our view the whole time was that they were going

0:26:55.240 --> 0:26:58.000
<v Speaker 14>to lose share anyway, and that custom silicon chips were

0:26:58.040 --> 0:27:00.800
<v Speaker 14>going to gain a bigger pe. So the pie A

0:27:00.920 --> 0:27:03.960
<v Speaker 14>and D eventually was going to have its share as

0:27:04.000 --> 0:27:06.560
<v Speaker 14>a second alternative to the GPU market. So this is

0:27:06.640 --> 0:27:10.000
<v Speaker 14>kind of playing out though the way we anticipated. It's

0:27:10.040 --> 0:27:12.959
<v Speaker 14>going to be a slow role, but ultimately, listen, I

0:27:12.960 --> 0:27:15.280
<v Speaker 14>do think there's a place for TPUs as well as

0:27:15.320 --> 0:27:17.960
<v Speaker 14>other customs silicon chips. I don't think you can necessarily

0:27:18.000 --> 0:27:21.240
<v Speaker 14>sleep on, you know, a company like Amazon. But you know,

0:27:21.359 --> 0:27:25.399
<v Speaker 14>it's interesting that the strategic pivot that potentially Alphabet is

0:27:25.440 --> 0:27:29.000
<v Speaker 14>looking at potentially you know, looking to sell those TPUs

0:27:29.040 --> 0:27:31.440
<v Speaker 14>to Meta and you know, to the extent that that's

0:27:31.520 --> 0:27:34.440
<v Speaker 14>true and to how quickly some of that scales up,

0:27:34.480 --> 0:27:38.480
<v Speaker 14>I think is a risk to the Invidia story. But again,

0:27:38.560 --> 0:27:41.080
<v Speaker 14>I mean, video will continue to be the dominant player

0:27:41.160 --> 0:27:44.200
<v Speaker 14>out there, and I think investors, you know, maybe it

0:27:44.240 --> 0:27:48.120
<v Speaker 14>shouldn't be looking too deep into the share fight and

0:27:48.320 --> 0:27:51.399
<v Speaker 14>kind of you know, can also consider the upside in

0:27:51.480 --> 0:27:54.000
<v Speaker 14>terms of the total addressable market opportunity here over the

0:27:54.040 --> 0:27:54.800
<v Speaker 14>next couple of years.

0:27:54.880 --> 0:27:57.640
<v Speaker 2>Well, it makes me think of the incredible and enviable

0:27:57.720 --> 0:28:00.560
<v Speaker 2>margins that Invidia has and it's data center bits, and

0:28:00.600 --> 0:28:03.200
<v Speaker 2>I'm wondering, okay, well, even if in Video still becomes

0:28:03.200 --> 0:28:06.159
<v Speaker 2>and remains the clear market leader, does it put margin

0:28:06.160 --> 0:28:08.040
<v Speaker 2>pressure on the company? Does the company have to come

0:28:08.040 --> 0:28:09.560
<v Speaker 2>out and say, okay, well we're not going to charge

0:28:09.560 --> 0:28:13.480
<v Speaker 2>as much for these GPUs because they're potentially, at least

0:28:13.520 --> 0:28:17.360
<v Speaker 2>for some customers there may be another option out there.

0:28:17.440 --> 0:28:18.800
<v Speaker 3>Does it put margin pressure on them?

0:28:19.560 --> 0:28:21.480
<v Speaker 14>I think that's an interesting point. The way we look

0:28:21.480 --> 0:28:23.399
<v Speaker 14>at this actually is a little bit differently. I mean,

0:28:23.400 --> 0:28:26.120
<v Speaker 14>when we think about kind of these next gen offerings

0:28:26.280 --> 0:28:28.760
<v Speaker 14>that in Video is set to roll out, and we're

0:28:28.800 --> 0:28:31.720
<v Speaker 14>big believers that listen, in Vidia is the generation ahead.

0:28:31.760 --> 0:28:34.680
<v Speaker 14>They will continue to be you know, leaders in terms

0:28:34.720 --> 0:28:37.480
<v Speaker 14>of technology advancements. But as you roll out Ruben, and

0:28:37.600 --> 0:28:39.840
<v Speaker 14>Ruben doesn't really have kind of the step up function

0:28:40.240 --> 0:28:44.200
<v Speaker 14>you know to Blackwell the way Blackwell had relative to Hopper.

0:28:44.440 --> 0:28:47.080
<v Speaker 14>But you get to Ruben and then Ruben Ultra, You're

0:28:47.120 --> 0:28:49.840
<v Speaker 14>going to see some significant content growth here over the

0:28:49.840 --> 0:28:52.400
<v Speaker 14>next couple of years from a Nvidia in the data center.

0:28:52.160 --> 0:28:54.280
<v Speaker 3>So that should continue to hold up data.

0:28:54.360 --> 0:28:57.760
<v Speaker 14>Their revenue trajectory as well as you know, the margins

0:28:57.800 --> 0:29:00.720
<v Speaker 14>here for the company. So we're not necessary really concerned

0:29:00.760 --> 0:29:03.400
<v Speaker 14>about margins here. But that said, listen, if we get

0:29:03.440 --> 0:29:06.320
<v Speaker 14>to a point where you know, the whole debate between

0:29:06.360 --> 0:29:09.160
<v Speaker 14>supply demands starts to you know, even out and those

0:29:09.200 --> 0:29:12.560
<v Speaker 14>competitive pressures do start to intensify, then you have an issue.

0:29:12.600 --> 0:29:14.640
<v Speaker 14>It's not something we're really kind of concerned about here

0:29:14.640 --> 0:29:16.160
<v Speaker 14>over the next eighteen to twenty four months.

0:29:16.200 --> 0:29:19.800
<v Speaker 2>So okay, so you know, in terms of not being

0:29:19.800 --> 0:29:22.000
<v Speaker 2>concerned in the near term, that makes sense. What about

0:29:22.040 --> 0:29:23.920
<v Speaker 2>the other side of the coin, which is the opportunity

0:29:23.920 --> 0:29:28.000
<v Speaker 2>that it presents for Alphabet Can they ramp up production

0:29:28.080 --> 0:29:28.440
<v Speaker 2>of these?

0:29:28.560 --> 0:29:29.880
<v Speaker 3>Can they can they.

0:29:29.960 --> 0:29:32.520
<v Speaker 2>Actually get these to customers quickly who they want them?

0:29:33.240 --> 0:29:35.680
<v Speaker 14>Yeah, I mean, and to the extent that they you know,

0:29:35.720 --> 0:29:38.600
<v Speaker 14>they're looking at this strategic pivot I think, you know,

0:29:38.680 --> 0:29:41.719
<v Speaker 14>remains to be seen, but yeah, I mean, listen, it's

0:29:41.760 --> 0:29:45.280
<v Speaker 14>an opportunity for them. Again, I don't think they take

0:29:45.360 --> 0:29:46.960
<v Speaker 14>up a huge chunk of the market. I think it's

0:29:47.000 --> 0:29:50.800
<v Speaker 14>actually a bigger play, an opportunity for Broadcom, to be

0:29:50.840 --> 0:29:52.600
<v Speaker 14>honest with you, and as you kind of go into

0:29:52.640 --> 0:29:56.120
<v Speaker 14>twenty six and twenty seven, the accelerating growth that you're

0:29:56.160 --> 0:29:59.480
<v Speaker 14>going to see in their semiconductor business I think is

0:29:59.560 --> 0:30:03.560
<v Speaker 14>kind of a nic intriguing play alongside there their software offering,

0:30:03.600 --> 0:30:07.280
<v Speaker 14>where if you have any concerns about share loss from Nvidia,

0:30:07.920 --> 0:30:10.280
<v Speaker 14>take a look at Broadcom because that becomes a nice

0:30:10.280 --> 0:30:12.960
<v Speaker 14>interesting play on a company that we'll be taking market

0:30:13.000 --> 0:30:16.760
<v Speaker 14>share here on that customer silicon growth as they also

0:30:16.840 --> 0:30:19.640
<v Speaker 14>continue to broad in out their customer base outside of

0:30:19.760 --> 0:30:24.680
<v Speaker 14>just you know, Alphabet's TPUs to other customs silicon vendors.

0:30:24.840 --> 0:30:27.080
<v Speaker 2>Angela, if we were having a conversation last week, we'd

0:30:27.120 --> 0:30:29.720
<v Speaker 2>probably be talking about and we'd probably started the conversation

0:30:29.800 --> 0:30:33.080
<v Speaker 2>with equity evaluations, And I'm just wondering how you're looking

0:30:33.080 --> 0:30:36.600
<v Speaker 2>at valuations right now where there's been some talk about okay,

0:30:36.640 --> 0:30:39.480
<v Speaker 2>things are looking a little bit bubbly right now.

0:30:40.520 --> 0:30:43.240
<v Speaker 14>You know, I actually feel much better about valuations today

0:30:43.240 --> 0:30:45.960
<v Speaker 14>than I did three four weeks ago, and it almost

0:30:46.040 --> 0:30:48.440
<v Speaker 14>kind of self corrected itself out right. So when you

0:30:48.480 --> 0:30:51.840
<v Speaker 14>look ahead of just you know, late October, look at valuations,

0:30:51.840 --> 0:30:54.880
<v Speaker 14>they were essentially where we were at the June twenty

0:30:54.920 --> 0:30:59.000
<v Speaker 14>four you know, tech highs, and essentially at twenty year highs,

0:30:59.160 --> 0:31:00.800
<v Speaker 14>So you kind of look, get what the market is

0:31:00.840 --> 0:31:02.960
<v Speaker 14>done here. We've actually had a better than expected Q

0:31:03.040 --> 0:31:05.640
<v Speaker 14>three earning season. On top of that, also we'll pull

0:31:05.680 --> 0:31:08.320
<v Speaker 14>back here on the tech side, that's really kind of

0:31:08.360 --> 0:31:13.000
<v Speaker 14>compressed multiples to now where you would expect multiples on

0:31:13.480 --> 0:31:16.120
<v Speaker 14>a forward basis to be here over the last five years.

0:31:16.160 --> 0:31:19.320
<v Speaker 14>So when you look at valuations, especially given the earnings

0:31:19.360 --> 0:31:21.120
<v Speaker 14>growth that we see over the next eighteen to twenty

0:31:21.160 --> 0:31:25.560
<v Speaker 14>four months, we actually think this is actually an enticing opportunity,

0:31:25.800 --> 0:31:28.840
<v Speaker 14>especially with some of those larger cap tech names. You

0:31:28.880 --> 0:31:31.840
<v Speaker 14>look at maybe some of the most reasonable valuations out there.

0:31:32.120 --> 0:31:34.560
<v Speaker 14>Meta and Nvidia really kind of stand out at this

0:31:34.680 --> 0:31:36.880
<v Speaker 14>point in time where I think they could be kind

0:31:36.880 --> 0:31:39.600
<v Speaker 14>of nice rebound plays on the sharp pullback they've.

0:31:39.440 --> 0:31:42.640
<v Speaker 2>Pad Hey, just twenty seconds angelo before we let you go.

0:31:42.680 --> 0:31:45.240
<v Speaker 2>We just had an interesting conversation with Alistair Marsh about

0:31:45.720 --> 0:31:48.840
<v Speaker 2>data centers and what could happen in the United States

0:31:48.880 --> 0:31:52.000
<v Speaker 2>to the electric grid and China actually taking a lead

0:31:52.040 --> 0:31:55.240
<v Speaker 2>as a result of infrastructure issues here. Just very briefly,

0:31:55.920 --> 0:31:58.320
<v Speaker 2>how could that reign in data center growth and development

0:31:58.320 --> 0:32:00.920
<v Speaker 2>here in the US if that were and is some

0:32:00.960 --> 0:32:02.280
<v Speaker 2>sort of boundary or barrier.

0:32:02.920 --> 0:32:05.680
<v Speaker 14>Yeah, it's one of the biggest risks going into twenty

0:32:05.720 --> 0:32:08.680
<v Speaker 14>twenty six, the energy bottlenecks, and more so into twenty

0:32:08.680 --> 0:32:11.400
<v Speaker 14>seven and twenty eight, right as we start transforming and

0:32:11.480 --> 0:32:15.160
<v Speaker 14>changing the narrative from the bookings growth expectations to one

0:32:15.240 --> 0:32:19.240
<v Speaker 14>where it's also all about execution of these data center buildouts.

0:32:19.640 --> 0:32:24.000
<v Speaker 2>Luzino, Senior equity analyst at CFRI Research. Happy Thanksgiving, Thanks

0:32:24.000 --> 0:32:26.959
<v Speaker 2>so much for joining us Well. Mckensey cut about two

0:32:27.080 --> 0:32:29.320
<v Speaker 2>hundred global tech jobs in the past week as the

0:32:29.360 --> 0:32:33.080
<v Speaker 2>consulting firm joins Rivals and using AI to automate some positions,

0:32:33.440 --> 0:32:36.720
<v Speaker 2>and sources say the company is closely assessing what tasks

0:32:36.760 --> 0:32:39.680
<v Speaker 2>can be carried out by AI and isn't ruling out

0:32:39.680 --> 0:32:43.480
<v Speaker 2>additional reductions across different functions over the next two years

0:32:43.800 --> 0:32:47.160
<v Speaker 2>this as it ramps up use of the tech coming

0:32:47.200 --> 0:32:50.680
<v Speaker 2>up one our music settles a copyright lawsuit against AI startups,

0:32:50.680 --> 0:32:53.800
<v Speaker 2>So no more on that. Next this is Bloomberg Tech.

0:33:06.480 --> 0:33:09.600
<v Speaker 2>Warner Music Group and AI music creator Suno have settled

0:33:09.600 --> 0:33:12.000
<v Speaker 2>a copyright lawsuit and agreed on a new partnership in

0:33:12.040 --> 0:33:15.240
<v Speaker 2>creating music. Suno was accused by Warner Music and other

0:33:15.360 --> 0:33:18.920
<v Speaker 2>major record labels for using copyrighted material without compensating artists

0:33:19.000 --> 0:33:21.959
<v Speaker 2>or their companies. For the latest Bloomberg Music and podcast

0:33:22.040 --> 0:33:25.520
<v Speaker 2>reporter Ashley Carmen joins us now and for people aren't

0:33:25.520 --> 0:33:27.760
<v Speaker 2>for people to understand Warner Music in the music industry

0:33:27.760 --> 0:33:29.320
<v Speaker 2>and where publishers and labels fall in.

0:33:29.360 --> 0:33:30.640
<v Speaker 3>But where do sooner fall into this?

0:33:31.320 --> 0:33:33.840
<v Speaker 15>Well, that's the big question. So Suno and its competitor

0:33:33.920 --> 0:33:36.440
<v Speaker 15>Udio have really found a business in allowing people to

0:33:36.480 --> 0:33:39.160
<v Speaker 15>type in prompts and gift songs in return. And so

0:33:39.240 --> 0:33:41.960
<v Speaker 15>now the big question is is this competition for the

0:33:41.960 --> 0:33:46.600
<v Speaker 15>traditional record labels? Probably? Is this a tool for artists

0:33:46.720 --> 0:33:49.920
<v Speaker 15>human artists? Probably? And what does this actually mean for

0:33:49.960 --> 0:33:51.640
<v Speaker 15>the business? And so this deal is kind of a

0:33:51.720 --> 0:33:53.880
<v Speaker 15>landmark moment in that entire dialogue.

0:33:53.920 --> 0:33:57.360
<v Speaker 2>Is there like a historical corollary or parallel.

0:33:56.880 --> 0:33:57.560
<v Speaker 3>We can draw here.

0:33:57.640 --> 0:33:59.880
<v Speaker 2>Is this like when Steve Jobs unbundled the album and

0:34:00.280 --> 0:34:02.600
<v Speaker 2>let us download one song for a ninety nine cents?

0:34:02.680 --> 0:34:03.920
<v Speaker 3>Is it a bigger deal than that?

0:34:04.240 --> 0:34:06.680
<v Speaker 15>People like to compare it to the Napster moment, where

0:34:06.760 --> 0:34:08.960
<v Speaker 15>this could really be a paradigm shift. Yeah, how people

0:34:09.000 --> 0:34:13.120
<v Speaker 15>create music, how they consume music, where they consume music,

0:34:13.200 --> 0:34:16.080
<v Speaker 15>where they create music. So it gets a lot of comparisons.

0:34:16.080 --> 0:34:18.840
<v Speaker 15>And I think, unlike that moment where the record labels

0:34:18.880 --> 0:34:20.759
<v Speaker 15>and Napster were really at odds for years and it

0:34:20.840 --> 0:34:23.680
<v Speaker 15>basically creted the entire music business. They want to start

0:34:23.680 --> 0:34:26.720
<v Speaker 15>making partnerships and actually have a hand in this business.

0:34:26.800 --> 0:34:27.880
<v Speaker 3>What do artists think of this?

0:34:28.040 --> 0:34:30.760
<v Speaker 2>Because in that moment, and I live through the Napster moment,

0:34:30.840 --> 0:34:33.760
<v Speaker 2>I mean, guilty is charged. Don't get me in trouble

0:34:33.800 --> 0:34:38.600
<v Speaker 2>for that. But artists were understandably really upset, and you know,

0:34:38.600 --> 0:34:40.680
<v Speaker 2>you had Lars Lrick on one side from Metallica.

0:34:40.680 --> 0:34:42.719
<v Speaker 3>It was a really big deal. Where do artists fall

0:34:42.719 --> 0:34:43.320
<v Speaker 3>in this debate?

0:34:44.000 --> 0:34:46.200
<v Speaker 15>Artists are using these tools in the studios. I go

0:34:46.239 --> 0:34:47.640
<v Speaker 15>to the studios and I say, do you use AI

0:34:47.680 --> 0:34:50.040
<v Speaker 15>and They're like, yeah, we do. But at the same time,

0:34:50.040 --> 0:34:53.279
<v Speaker 15>I think they don't want wholly AI generated songs to

0:34:53.320 --> 0:34:56.400
<v Speaker 15>come in and take market share away from human created works.

0:34:56.560 --> 0:34:58.919
<v Speaker 2>But is there also this understanding that there wasn't then

0:34:59.040 --> 0:35:01.120
<v Speaker 2>that for our an artists to make money they need

0:35:01.160 --> 0:35:02.680
<v Speaker 2>to do more than just create the music.

0:35:03.680 --> 0:35:05.120
<v Speaker 15>I mean, this is this is the thing, is that

0:35:05.160 --> 0:35:08.200
<v Speaker 15>business is shifting so much. Streaming brought the industry back

0:35:08.200 --> 0:35:11.440
<v Speaker 15>from piracy, but it also meant that now so many

0:35:11.480 --> 0:35:13.120
<v Speaker 15>people can upload their music, they don't need to go

0:35:13.120 --> 0:35:15.160
<v Speaker 15>through a distributor to be in retail stores. It means

0:35:15.160 --> 0:35:17.160
<v Speaker 15>they have to tour. It means they need to create merch.

0:35:17.200 --> 0:35:19.080
<v Speaker 15>It means they need to build these super fans to

0:35:19.160 --> 0:35:20.240
<v Speaker 15>keep that business going.

0:35:20.440 --> 0:35:24.279
<v Speaker 2>Bloomberg's actually Carmen joining us. Thanks so much, Ashley, Happy Thanksgiving.

0:35:24.640 --> 0:35:27.080
<v Speaker 2>Let's turn out a Warner Brothers Discovery stay on Media.

0:35:27.160 --> 0:35:30.560
<v Speaker 2>The company asking bidders for swedened offers by December. This

0:35:30.680 --> 0:35:33.560
<v Speaker 2>December first actually, as it explores options for a sale.

0:35:33.680 --> 0:35:36.520
<v Speaker 2>Bloomberg's media reporter Hannah Miller has been reporting on the

0:35:36.560 --> 0:35:39.640
<v Speaker 2>saga and she joins us. Now, So, Hannah, who are

0:35:39.680 --> 0:35:42.280
<v Speaker 2>the companies that are at play right now for these assets.

0:35:42.520 --> 0:35:46.440
<v Speaker 16>Yeah, so we have Paramount, Comcasts and Netflix. They all

0:35:46.440 --> 0:35:50.240
<v Speaker 16>have some differences with their bids with the obstacles facing

0:35:50.280 --> 0:35:54.280
<v Speaker 16>them here. But those are the players going for Warner

0:35:54.280 --> 0:35:55.640
<v Speaker 16>Brothers Discoveries assets.

0:35:55.960 --> 0:35:57.799
<v Speaker 2>Do they all want the same assets or do they

0:35:57.800 --> 0:35:58.760
<v Speaker 2>want different assets?

0:35:59.000 --> 0:36:01.520
<v Speaker 16>So Comcasts and net Flix they're going for streaming and

0:36:01.600 --> 0:36:06.200
<v Speaker 16>studios they want, you know, those big profit sectors for

0:36:06.320 --> 0:36:10.680
<v Speaker 16>Warner Brothers Discovery. Paramount wants the whole thing. There'll take

0:36:10.719 --> 0:36:12.719
<v Speaker 16>the cable networks too, even though we've seen so many

0:36:12.760 --> 0:36:15.760
<v Speaker 16>people cut the cord and shift from cable to streaming.

0:36:16.160 --> 0:36:19.279
<v Speaker 2>From a regulatory perspective, is that a harder Is that

0:36:19.320 --> 0:36:22.000
<v Speaker 2>a harder barrier? Does it kind of not matter given

0:36:22.400 --> 0:36:25.719
<v Speaker 2>what we've seen from this administration and the way that

0:36:25.760 --> 0:36:27.920
<v Speaker 2>media has changed in recent years, because there could there

0:36:27.920 --> 0:36:29.759
<v Speaker 2>you know, CNN is part of that, and CNN and

0:36:29.800 --> 0:36:32.799
<v Speaker 2>CBS living side by side a network and cable when

0:36:32.800 --> 0:36:34.160
<v Speaker 2>it comes to news, that could be a challenge.

0:36:34.200 --> 0:36:36.520
<v Speaker 16>Now, Yeah, it's a great question. It's something a lot

0:36:36.520 --> 0:36:40.680
<v Speaker 16>of investors are thinking about. With Paramount. We know that

0:36:41.000 --> 0:36:44.799
<v Speaker 16>the CEO, David Ellison, he's spoken about the positive relationship

0:36:45.080 --> 0:36:48.239
<v Speaker 16>that he has with President Trump, So that could help

0:36:48.280 --> 0:36:51.520
<v Speaker 16>smooth things over on a regulatory front. The thing with

0:36:51.640 --> 0:36:56.239
<v Speaker 16>Netflix is that there are questions about if both streaming

0:36:56.360 --> 0:37:00.239
<v Speaker 16>services were under Netflix, if HBO Max got added to Netflix,

0:37:01.000 --> 0:37:03.840
<v Speaker 16>would they dominate and have too much market share?

0:37:04.120 --> 0:37:07.560
<v Speaker 2>Wow, I can't believe we're talking about streamers and antitrust.

0:37:07.760 --> 0:37:10.040
<v Speaker 2>That's kind of where we are in this world, Hannah,

0:37:10.040 --> 0:37:11.879
<v Speaker 2>before we let you go, David Allison is one David

0:37:11.880 --> 0:37:14.719
<v Speaker 2>we're thinking about. David Zaslov is another David that we're

0:37:14.719 --> 0:37:16.480
<v Speaker 2>thinking about over at Warner Brothers Discovery.

0:37:16.520 --> 0:37:17.560
<v Speaker 3>What happens to him after this?

0:37:17.920 --> 0:37:21.120
<v Speaker 16>Yeah, so the role he plays with whatever shakes out,

0:37:21.320 --> 0:37:24.560
<v Speaker 16>that is a big factor here. We know he's someone

0:37:24.640 --> 0:37:27.400
<v Speaker 16>who still wants to stay in the mix, and I

0:37:27.400 --> 0:37:30.400
<v Speaker 16>think a lot of the investors, the shareholders, they're all

0:37:30.440 --> 0:37:34.799
<v Speaker 16>thinking about what role Zazov will play after a deal.

0:37:35.120 --> 0:37:37.680
<v Speaker 2>Bloomberg's Hannah Miller. Hopefully she's not too busy during the

0:37:37.719 --> 0:37:39.959
<v Speaker 2>holidays staying on top of this deal. Appreciate you taking

0:37:39.960 --> 0:37:42.160
<v Speaker 2>the time. Well, coming up, we're going to talk to

0:37:42.200 --> 0:37:45.760
<v Speaker 2>the startup that's using AI to help restaurants identify ingredients

0:37:45.800 --> 0:37:48.920
<v Speaker 2>that could be allergens or restricted under some diets. It's

0:37:48.920 --> 0:37:51.919
<v Speaker 2>an issue restaurants chains from California soon won't be able

0:37:51.960 --> 0:38:07.879
<v Speaker 2>to ignore. This is Bloomberg Tech. Well, if any part

0:38:07.880 --> 0:38:09.960
<v Speaker 2>of your thanks Evin Jenner is being ordered or coming

0:38:10.000 --> 0:38:12.160
<v Speaker 2>from a restaurant, you might have had to ask about

0:38:12.200 --> 0:38:14.960
<v Speaker 2>the ingredient list to check any allergens for your guests.

0:38:15.400 --> 0:38:18.160
<v Speaker 2>It's an issue that goes far beyond Thanksgiving, with millions

0:38:18.200 --> 0:38:22.080
<v Speaker 2>of Americans with allergies or dietary restrictions struggling when they

0:38:22.120 --> 0:38:24.919
<v Speaker 2>go out to eat. Startup Fudini is aiming to solve

0:38:24.960 --> 0:38:27.560
<v Speaker 2>this problem with an AI tool to help restaurants thoroughly

0:38:27.600 --> 0:38:32.320
<v Speaker 2>and clearly label ingredients. Fudini COEO. Dylan McDonald joins us. Now, Dylan,

0:38:32.360 --> 0:38:34.040
<v Speaker 2>you've got a really interesting story. I think, like so

0:38:34.120 --> 0:38:37.360
<v Speaker 2>many startups, it comes from a place of necessity for

0:38:37.480 --> 0:38:39.680
<v Speaker 2>the founder. Talk to us a little bit about what

0:38:39.719 --> 0:38:40.359
<v Speaker 2>you've dealt with.

0:38:41.640 --> 0:38:43.640
<v Speaker 17>Yeah, first, see Tim, thanks very much for having me.

0:38:43.719 --> 0:38:46.560
<v Speaker 17>Great to be here. And yeah, like you mentioned.

0:38:46.280 --> 0:38:49.880
<v Speaker 11>I diagnosed celiac when I was ten years old and

0:38:49.960 --> 0:38:53.120
<v Speaker 11>so have a lot of personal experience navigating dining out

0:38:53.160 --> 0:38:55.759
<v Speaker 11>of home and ordering online while needing to know what's

0:38:55.800 --> 0:38:58.319
<v Speaker 11>in my food and just over a long period of time,

0:38:58.440 --> 0:39:01.319
<v Speaker 11>got more and more for it with how difficult it

0:39:01.440 --> 0:39:04.920
<v Speaker 11>was to get that information and mistakes and inaccuracies, and

0:39:04.960 --> 0:39:06.560
<v Speaker 11>decided to try and do something about it.

0:39:06.640 --> 0:39:09.480
<v Speaker 2>So how can AI actually help restaurants do this? Because

0:39:09.520 --> 0:39:10.960
<v Speaker 2>you know, when you do look at a menu, when

0:39:11.000 --> 0:39:14.319
<v Speaker 2>you do talk to a server, I feel like in

0:39:14.360 --> 0:39:16.160
<v Speaker 2>this day and age, they have a good understanding of

0:39:16.200 --> 0:39:19.600
<v Speaker 2>at least some of the most common allergies like gluten

0:39:19.640 --> 0:39:23.399
<v Speaker 2>for example, and people who have celiac. So what does

0:39:23.440 --> 0:39:25.040
<v Speaker 2>AI allow them to take a step further?

0:39:25.080 --> 0:39:25.759
<v Speaker 3>How does it do that?

0:39:27.000 --> 0:39:28.839
<v Speaker 17>Yeah, it's a fair point. I think you're right.

0:39:28.840 --> 0:39:30.680
<v Speaker 11>I think a lot of restaurants have got on top

0:39:30.719 --> 0:39:34.359
<v Speaker 11>of gluten free, vegan, vegetarian, the main ones. But there's

0:39:34.360 --> 0:39:36.839
<v Speaker 11>one hundred and seventy three million Americans who have some

0:39:36.880 --> 0:39:40.440
<v Speaker 11>form of food energy or dietry requirement, and the allergens

0:39:40.520 --> 0:39:43.480
<v Speaker 11>go far beyond just you know, gluten and vegan. And

0:39:43.560 --> 0:39:46.600
<v Speaker 11>so what we do is we help restaurants by ingesting

0:39:46.640 --> 0:39:50.280
<v Speaker 11>their menu information, the recipe information, and the product information,

0:39:50.719 --> 0:39:54.160
<v Speaker 11>and we have trained large anguage models to break those

0:39:54.200 --> 0:39:56.880
<v Speaker 11>down to the ingredient level, tag them with the correct

0:39:56.920 --> 0:40:00.080
<v Speaker 11>allergen and dietary requirements and then we're able to to

0:40:00.280 --> 0:40:04.480
<v Speaker 11>power a personalized menu solution whereby consumers can see exactly

0:40:04.480 --> 0:40:06.880
<v Speaker 11>what they can and can't eat on the menu depending

0:40:06.920 --> 0:40:08.239
<v Speaker 11>on their personal requirements.

0:40:08.320 --> 0:40:10.680
<v Speaker 2>You have a background in law, your former corporate attorney,

0:40:10.800 --> 0:40:13.640
<v Speaker 2>and you know, I wonder about the liability element here.

0:40:13.960 --> 0:40:19.400
<v Speaker 2>You know, mistakes happen, mistakes get made, AI lms hallucinate. Well,

0:40:19.440 --> 0:40:21.000
<v Speaker 2>how do you protect around that and how do you

0:40:21.040 --> 0:40:22.719
<v Speaker 2>make sure that even if a food says it doesn't

0:40:22.760 --> 0:40:26.400
<v Speaker 2>have something, it doesn't become contaminated somewhere with that ingredient process.

0:40:27.520 --> 0:40:30.120
<v Speaker 17>Yeah, it's a great question. Firstly, on hallucinations.

0:40:30.239 --> 0:40:34.840
<v Speaker 11>Our technology never guesses if there is you know, it's

0:40:34.880 --> 0:40:37.560
<v Speaker 11>based on structured ingredient and supplier data.

0:40:37.640 --> 0:40:40.359
<v Speaker 17>If there's ever a scenario where it is ensure, it.

0:40:40.320 --> 0:40:42.520
<v Speaker 11>Will tag in the back end for us that it's

0:40:42.680 --> 0:40:45.360
<v Speaker 11>there's an uncertainty and our dietitian team will come in

0:40:45.440 --> 0:40:48.719
<v Speaker 11>over the top and do QA and manually intervene and

0:40:48.800 --> 0:40:51.400
<v Speaker 11>as you know, they make inputs into the system, the

0:40:51.640 --> 0:40:54.560
<v Speaker 11>LLM learns, it gets smarter and smarter over time. From

0:40:54.800 --> 0:40:58.160
<v Speaker 11>a legal liability standpoint, we would argue that not having

0:40:58.200 --> 0:41:01.799
<v Speaker 11>any documentation on our ergens is a much higher risk

0:41:02.040 --> 0:41:04.520
<v Speaker 11>because right now you have a consumer, a member of

0:41:04.640 --> 0:41:07.840
<v Speaker 11>staff who's likely not trained on all the ingredients and

0:41:07.920 --> 0:41:10.160
<v Speaker 11>all the allergens and all the menu items, and they're

0:41:10.200 --> 0:41:13.560
<v Speaker 11>the line of protection for the restaurant between the consumer

0:41:13.640 --> 0:41:17.480
<v Speaker 11>and a potentially life threatening a life threatening incident. And

0:41:17.520 --> 0:41:21.840
<v Speaker 11>fifty four percent of all allergic reactions and restaurants occur

0:41:22.239 --> 0:41:25.160
<v Speaker 11>after the staff have been notified. And so that tells

0:41:25.239 --> 0:41:27.120
<v Speaker 11>us that the current system of dealing with this by

0:41:27.160 --> 0:41:28.800
<v Speaker 11>word of mouth isn't working.

0:41:28.920 --> 0:41:30.600
<v Speaker 2>So, Dylan, how does it work? Is it a two

0:41:30.719 --> 0:41:33.719
<v Speaker 2>sided market where you have to get the restaurant or

0:41:33.760 --> 0:41:37.280
<v Speaker 2>the restaurant chain to add your technology, but then also

0:41:37.400 --> 0:41:40.000
<v Speaker 2>get people who have these allergies to use it.

0:41:41.160 --> 0:41:45.080
<v Speaker 11>Yeah, So we partner with the restaurant chains, food service operators.

0:41:45.160 --> 0:41:50.160
<v Speaker 11>We ingest their menu, recipe product technology from various tech stacts.

0:41:50.719 --> 0:41:52.719
<v Speaker 11>And then how it works typically is they put a

0:41:52.800 --> 0:41:55.760
<v Speaker 11>QRE code in venue on physical menus and menu boards

0:41:56.320 --> 0:41:59.040
<v Speaker 11>and a digital link on their website. This is the

0:41:59.040 --> 0:42:02.480
<v Speaker 11>most basic integrate, and then when consumers come into the

0:42:02.520 --> 0:42:06.080
<v Speaker 11>physical environment or digital environment, they scan the QRE. It

0:42:06.120 --> 0:42:08.480
<v Speaker 11>prompts them to create their dietary profile where they can

0:42:08.520 --> 0:42:11.480
<v Speaker 11>choose from over one hundred and fifty different allergens and

0:42:11.520 --> 0:42:15.080
<v Speaker 11>dietary requirements, and then instantly it will show them here's

0:42:15.160 --> 0:42:17.160
<v Speaker 11>exactly what you can eat, here's what you can eat

0:42:17.160 --> 0:42:19.760
<v Speaker 11>with a modifier, and what that modifier is, and here's

0:42:19.760 --> 0:42:22.719
<v Speaker 11>what you can't eat and why. So it's completely personalized

0:42:22.760 --> 0:42:26.000
<v Speaker 11>based on their requirements and the consumer discovers this In

0:42:26.040 --> 0:42:27.399
<v Speaker 11>the Restaurant's Environment.

0:42:27.160 --> 0:42:30.600
<v Speaker 2>Center Bill sixty eight in the state of California, this

0:42:30.880 --> 0:42:33.640
<v Speaker 2>is effective next week. It's going to require major chains

0:42:33.640 --> 0:42:37.640
<v Speaker 2>to provide detailed allergen info. Many people argue, this is

0:42:37.640 --> 0:42:41.320
<v Speaker 2>a major step toward transparency. How has that increased adoption

0:42:41.400 --> 0:42:41.960
<v Speaker 2>of your product?

0:42:43.160 --> 0:42:45.360
<v Speaker 11>Yeah, so just on that it was signed by Gavin

0:42:45.440 --> 0:42:48.080
<v Speaker 11>Usom a month ago. It becomes effect of one July

0:42:48.200 --> 0:42:48.719
<v Speaker 11>twenty six.

0:42:49.320 --> 0:42:49.920
<v Speaker 8>And so what in.

0:42:50.200 --> 0:42:54.400
<v Speaker 11>Essence requires is every restaurant chain and foods service facility

0:42:54.719 --> 0:42:57.920
<v Speaker 11>with twenty plus locations nationwide, where at least one of

0:42:57.920 --> 0:43:00.960
<v Speaker 11>those is in California, to label all of their physical

0:43:01.040 --> 0:43:04.680
<v Speaker 11>and digital menus for the major nine food origens. So

0:43:04.880 --> 0:43:07.920
<v Speaker 11>this is obviously a major step change for restaurants. They

0:43:07.960 --> 0:43:09.680
<v Speaker 11>can do it one of two ways they can either

0:43:09.800 --> 0:43:13.840
<v Speaker 11>physically annotate every one of their menu items with those origens,

0:43:14.360 --> 0:43:17.560
<v Speaker 11>or they can use a digital like a QR code

0:43:17.719 --> 0:43:20.440
<v Speaker 11>that links out to digital allergen menu. And that's obviously

0:43:20.520 --> 0:43:23.520
<v Speaker 11>what we do, and from speaking to a lot of

0:43:23.920 --> 0:43:26.440
<v Speaker 11>the bigger chains recently, as you might imagine, their strong

0:43:26.480 --> 0:43:30.400
<v Speaker 11>preferences to use a digital mechanism, and so we're getting

0:43:30.800 --> 0:43:33.080
<v Speaker 11>a lot more inbound then we certainly were a few

0:43:33.080 --> 0:43:34.480
<v Speaker 11>months ago, which is fantastic.

0:43:35.000 --> 0:43:36.399
<v Speaker 17>But we continue to work with like.

0:43:36.360 --> 0:43:40.760
<v Speaker 11>I said, with independence chains, food service facilities of all types.

0:43:41.360 --> 0:43:45.640
<v Speaker 2>Dylan McDonald, he's founder and CEO of Fudini, joining us

0:43:45.640 --> 0:43:48.840
<v Speaker 2>from Santa Monica, California. Well, that is going to do

0:43:48.880 --> 0:43:51.560
<v Speaker 2>it for this edition of Bloomberg Tech. Do not forget

0:43:51.560 --> 0:43:53.840
<v Speaker 2>to check out our podcast. You can find it on

0:43:53.880 --> 0:43:57.200
<v Speaker 2>the terminal as well as online at Apple, Spotify and

0:43:57.320 --> 0:43:59.440
<v Speaker 2>iHeart This is Bloomberg