WEBVTT - Trump Wants Big Tech to Pay for Power

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

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<v Speaker 1>from coast to coast with Caroline Hyde in New York

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<v Speaker 1>and Ed Lovelow in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up, Bloomberg Reporting. President Trump

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<v Speaker 2>moves to have tech companies pay for surging energy prices

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<v Speaker 2>following the rise of AI data centers plus AI coding

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<v Speaker 2>startup RECLT could hit evaluation of nine billion dollars in

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<v Speaker 2>a new round of funding. We have the details, and

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<v Speaker 2>we'll be joined by the Chairman of the Federal Trade

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<v Speaker 2>Commission for a conversation on antitrust, consumer protection, and AI

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<v Speaker 2>regulation that is later this hour. Our top story to

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<v Speaker 2>Trump administration and governors from Northeastern states are taking an

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<v Speaker 2>unprecedented step to get tech companies to pay for surging

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<v Speaker 2>energy price is as data centers gobble up more electricity,

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<v Speaker 2>the administration will direct the country's largest grid operator, PJAM

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<v Speaker 2>Interconnection to hold an emergency power auction. That's according to

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<v Speaker 2>a White House official. Those companies will be able to

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<v Speaker 2>bid on fifteen year contracts for new electricity generation, which

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<v Speaker 2>could support potentially fifteen billion dollars worth of new power plants.

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<v Speaker 2>To fuel the AI boom. Also, according to the official Bloomberg,

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<v Speaker 2>Senior Tech editor Mike Shepherd joins us, Now, what do

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<v Speaker 2>we need to know here, shep, I mean, this is

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<v Speaker 2>very much in the consciousness of this administration, but also

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<v Speaker 2>at the forefront of what the hyperscalers are thinking about too.

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<v Speaker 3>Bill really is in a lot of ways, while the

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<v Speaker 3>administration is trying to find a way to make the

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<v Speaker 3>tech companies pay for some of this new power that

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<v Speaker 3>they would need to sustain and keep the AI boom going,

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<v Speaker 3>they are also giving the tech industry, in large part,

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<v Speaker 3>especially the biggest companies the hyperscalers, what they've wanted. They

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<v Speaker 3>are willing to pay for some of their extra power generation,

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<v Speaker 3>but they need somehow the wherewithal from the grid operators

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<v Speaker 3>themselves to add that infrastructure. So this would provide some

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<v Speaker 3>stability in the funding, and it would also provide a

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<v Speaker 3>slug of money for the grid operator in this case

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<v Speaker 3>PGM Interconnection, to start laying the groundwork for some of

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<v Speaker 3>that infrastructure. Now, what's interesting about this is PGM actually

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<v Speaker 3>runs these kinds of so called emergency auctions on a

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<v Speaker 3>somewhat regular basis, and they almost have one in the

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<v Speaker 3>pipeline for this very need for the question of data centers,

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<v Speaker 3>but they usually go on twelve month intervals, not fifteen

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<v Speaker 3>year intervals, so this really would provide pricing stability for

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<v Speaker 3>those buyers. Now, one other question, though ed, is how

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<v Speaker 3>the grid operators will proceed with this, and PGM was

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<v Speaker 3>not invited to the White House event. We are expecting

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<v Speaker 3>an announcement shortly from Interior Secretary Doug Bergham and Energy

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<v Speaker 3>Secretary Chris Right, and it's unclear exactly how enthusiastically they

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<v Speaker 3>will be embracing this.

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<v Speaker 2>The other big news overnight, the United States and Taiwan

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<v Speaker 2>have reached a deal to lower tariffs on some goods

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<v Speaker 2>but critically cooperate and co invest in semiconductor capacity.

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<v Speaker 4>What do we need to know, they might.

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<v Speaker 3>Well, what's really key in this deal is that not

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<v Speaker 3>only are we seeing the tariff rate on goods from

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<v Speaker 3>Taiwan dropped to fifteen percent from the current twenty percent,

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<v Speaker 3>just as importantly, we are seeing the outlines of a more,

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<v Speaker 3>much more significant investment in American semiconductor of manufacturing. And

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<v Speaker 3>the announcement from the White House didn't name any names

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<v Speaker 3>in terms of companies, but you and I our heads

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<v Speaker 3>are going to go right to Taiwan Semiconductor Manufacturing Company.

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<v Speaker 3>They are the top maker of AI chips and they

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<v Speaker 3>are really the leading edge of vanguard of tai chip

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<v Speaker 3>production in Taiwan. And under this deal, we have been

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<v Speaker 3>told by sources, TSMC would commit to building for additional

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<v Speaker 3>semiconductor manufacturing plants here in Arizona are through the twenty thirties.

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<v Speaker 3>And that's on top of six plants that they have

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<v Speaker 3>already planned to build in two advanced packaging pros. So

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<v Speaker 3>we're looking for additional investment and the total added investment

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<v Speaker 3>would be as much as one hundred billion dollars, and

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<v Speaker 3>that is what we're hearing from Comerace Secretary Howard Lutnek.

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<v Speaker 2>TSMC's US sisters shares hitting record highs on track for

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<v Speaker 2>their best week since June, and it has a lot

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<v Speaker 2>of momentum to do with their earnings print as well.

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<v Speaker 2>But of course cooperation with the US members. Mike Sheppard,

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<v Speaker 2>thank you very much. Both of those stories that that

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<v Speaker 2>might just outlined are playing out in markets. Let's start

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<v Speaker 2>with the energy auction piece. First, Utilities probably the second

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<v Speaker 2>biggest decliner as a group within the s and P

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<v Speaker 2>five hundred SMP Utilities Index down seven ten percent, and

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<v Speaker 2>within that you see single names like Constellation, like Vistra

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<v Speaker 2>with very market almost double digit declines in the session.

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<v Speaker 2>The big story on semiconductors still is the bottleneck that

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<v Speaker 2>is memory. But the bottleneck in memory drives up the

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<v Speaker 2>main players. Micron again another name in equity markets. So

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<v Speaker 2>this pushing record highs. It is on track for its

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<v Speaker 2>eighth straight week of gains, eight straight weekly gain. That's

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<v Speaker 2>his best run since twenty sixteen.

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<v Speaker 4>Price is a high.

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<v Speaker 2>Supply is tight, and that's good when you're one of

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<v Speaker 2>the main players. Let's talk more about markets. Martin Norton,

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<v Speaker 2>mpower chief investment strategist joins us now, and I want

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<v Speaker 2>to start with the memory bottleneck.

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<v Speaker 4>It seems to me to be severe justin in the

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<v Speaker 4>control room.

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<v Speaker 2>Let's get that chart ready on DDR four, because as

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<v Speaker 2>we enter the new year, this has become a great

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<v Speaker 2>story for all parts of the data center supply chain.

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<v Speaker 4>How are you looking into that, Marta.

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<v Speaker 5>Well, I think it seems like as we're entering twenty

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<v Speaker 5>twenty six, we're reaching that phase that we had anticipated

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<v Speaker 5>within the AI life cycle, and that's the bottleneck phase

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<v Speaker 5>where the building and the demand and the supply are

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<v Speaker 5>exponential moving higher, and that's putting us at a point

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<v Speaker 5>where we're facing constraints and running headlong into them every

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<v Speaker 5>which way we turn. And I think the memory element

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<v Speaker 5>is a big one, not just because it relates to

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<v Speaker 5>the AI trade, but because it has ramifications outside of AI.

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<v Speaker 5>So I think that's something that we're going to need

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<v Speaker 5>to watch in earning season to get a sense for

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<v Speaker 5>what that looks like, not just for the AI trade,

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<v Speaker 5>but for some of these other areas like PC's and

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<v Speaker 5>get a sense for how folks are navigating that.

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<v Speaker 2>There are many still grappling with the demand supply supply

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<v Speaker 2>demand equation.

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<v Speaker 4>Three things have happened. We went through memory.

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<v Speaker 2>PGM actually downgraded and cut its peak time demand forecasts

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<v Speaker 2>because a lot of the data centers aren't actually being

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<v Speaker 2>built right. There are issues with construction and actually securing

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<v Speaker 2>electricity supply, and then there's the actions of this administration.

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<v Speaker 2>Is that any of that giving you kind of paused

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<v Speaker 2>for thought on how intact cycle.

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<v Speaker 5>Is well, I guess, just taking say the downgrade of

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<v Speaker 5>energy there, I think one consideration is that timelines have

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<v Speaker 5>always been in flux. When you look at what it

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<v Speaker 5>takes to build a data center, the permitting that goes

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<v Speaker 5>along with it, the construction, all the different elements. It's

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<v Speaker 5>a multi year proposition, and so it's no surprise that

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<v Speaker 5>it's hard to really understand when exactly the data center

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<v Speaker 5>is coming online. So I think, you know, the progression

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<v Speaker 5>creates clarity. I don't know if that's a change to

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<v Speaker 5>the AI narrative. And then of course you have President

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<v Speaker 5>Trump and the affordability issues running headlong into the AI trade,

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<v Speaker 5>so another factor to consider. But I guess what we'll

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<v Speaker 5>be looking for in earning season is does the boondazzel continue? Yes,

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<v Speaker 5>we have all these factors that I think create moments

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<v Speaker 5>of doubt for investors over the course of twenty twenty six,

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<v Speaker 5>But are we seeing the boondazzel continue? Can we take

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<v Speaker 5>comfort from the idea like we did with with Taiwan Semi,

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<v Speaker 5>that Capex continues, that revenues continue, And that's what I

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<v Speaker 5>think is really the focus as we as we move

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<v Speaker 5>into Q four earning season.

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<v Speaker 2>Let's go back to our top story, Bloomberg reporting that

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<v Speaker 2>the White House, in association with governors from the northeast

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<v Speaker 2>wants to force an auction for the data center operators.

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<v Speaker 2>We talk about the heavy hand of the White House

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<v Speaker 2>or Washington, but how heavy is that hand?

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<v Speaker 4>To your mind, Well, it's.

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<v Speaker 5>We're still I think somewhat I mean, broadly speaking around

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<v Speaker 5>the affordability issues and a trial balloon phase right where

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<v Speaker 5>different ideas are suggested and we see how the market

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<v Speaker 5>anticipates and how we actually implement this those ideas. This

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<v Speaker 5>one seems a little bit more fully baked, simply because

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<v Speaker 5>it's coming not just from truth Social but from the

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<v Speaker 5>administration officials more broadly, and it's you know, to Bloomberg's reporting,

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<v Speaker 5>it's not just focused on the affordability issue, but really

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<v Speaker 5>directed at the heart of the need of AI, which

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<v Speaker 5>is bringing energy online. So it seems as though it's

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<v Speaker 5>serving multiple per P says. What will be interesting to

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<v Speaker 5>see is how the AI providers respond to this. Is

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<v Speaker 5>this considered a good news, does it bring on and

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<v Speaker 5>leieve some constraint for them, or is there frustration on

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<v Speaker 5>what it could mean for their margins? And I think

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<v Speaker 5>that's something we're going to need.

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<v Speaker 4>To watch your margins.

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<v Speaker 2>We'll find out about, as you said, during earnings, which

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<v Speaker 2>start in earnest next week, can we discuss that a

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<v Speaker 2>bit more marked to finish. You know, where are you

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<v Speaker 2>looking within the earnings window? What kind of data points

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<v Speaker 2>are going to drive your thesis for this coming year

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<v Speaker 2>in the tech sector.

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<v Speaker 5>Well, we're in an AI moment of doubt as we speak.

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<v Speaker 5>I mean, really since Oxtober twenty ninth, we've seen this

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<v Speaker 5>kind of malaise hit AI names as folks start to

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<v Speaker 5>worry about some of the very issues we're discussing, and

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<v Speaker 5>also including things like circular financing and all the big

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<v Speaker 5>spending that we're seeing. And so I think at a

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<v Speaker 5>very high level, we're still going to look for those

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<v Speaker 5>things around revenue, for those things around cafex, to just

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<v Speaker 5>get a sense for whether the company's confidence remains and

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<v Speaker 5>whether they're continuing to improve their collection of rents from

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<v Speaker 5>this space. I also think we're going to want to

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<v Speaker 5>look more broadly at the overall market and get a

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<v Speaker 5>sense where are we seeing AI implementation? And I think

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<v Speaker 5>that can mean looking at what folks are spending on clouds, costs,

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<v Speaker 5>looking at what they're spending on software. Are we beginning

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<v Speaker 5>to see more than just general purpose implementation? I think

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<v Speaker 5>that's something that we're going to need to watch as well.

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<v Speaker 5>So I think in this earning season it's really casting

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<v Speaker 5>a wide net and as always listening to guidance and

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<v Speaker 5>how companies are planning to navigate the challenges that they're facing.

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<v Speaker 4>Martin Awson, Empire, thank you very much.

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<v Speaker 2>Now coming up, AI coding startup Replic could be reaching

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<v Speaker 2>evaluation of nine billion dollars. We have more in the reporting. Next,

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<v Speaker 2>this is Bloomberg Tech. Open Ai and Microsoft fail to

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<v Speaker 2>avoid a try over. Elon Musk claims that open ai

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<v Speaker 2>betrayed its founding mission as a public charity when it

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<v Speaker 2>took billions in funding from the software giants and made

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<v Speaker 2>plans to operate as a for profit business. The case

0:11:12.080 --> 0:11:16.160
<v Speaker 2>was ordered to proceed to a jury trial in late April.

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<v Speaker 2>Another top story AI coding startup replet It's nearing a

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<v Speaker 2>deal for a new round of funding that would roughly

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<v Speaker 2>triple its valuation to nine billion dollars. That's according to sources.

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<v Speaker 2>Let's get the details with bloomberg'sventure capital reporter Natasha Mascaraine

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<v Speaker 2>is part of the team that broke the story.

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<v Speaker 4>Let's start with the round.

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<v Speaker 2>What do we know about the size, Who's participating and

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<v Speaker 2>the emphasis on that big jump in valuation totally.

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<v Speaker 6>So the last time we reported that replat was raising

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<v Speaker 6>it was only four months ago in September, at a

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<v Speaker 6>three billion valuation. Now we're hearing that it's at a

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<v Speaker 6>nine billion valuation, gone to raise four hundred million from

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<v Speaker 6>an existing investor, led round Georgian, and we're not surprised.

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<v Speaker 6>Back to back fundraising is more common than not an

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<v Speaker 6>AI startup to these, and Replet as a coding company

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<v Speaker 6>is no exception.

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<v Speaker 2>It is more common than not, and so is a

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<v Speaker 2>discussion around vibe coding and the different coding platforms that

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<v Speaker 2>are out there. I guess the best place to go

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<v Speaker 2>next is is why there's an attraction to replt and

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<v Speaker 2>why it's different from the others.

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<v Speaker 3>Yeah.

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<v Speaker 6>When I think about coding startups, I think about two buckets.

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<v Speaker 6>I think about the ones that are focusing on selling

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<v Speaker 6>to enterprises, the big corporations. I think that's cursor and anthropic.

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<v Speaker 6>Then there's a second bucket, and that's where I really

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<v Speaker 6>place Replet. It's focusing on getting the non developer to

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<v Speaker 6>use vibe coding at their organization, and it's a big

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<v Speaker 6>theme I'm hearing as I asked CEOs what they're thinking

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<v Speaker 6>about for twenty twenty six. They want you to prototype

0:12:41.720 --> 0:12:44.480
<v Speaker 6>and not be living in your docs and decks too much.

0:12:44.880 --> 0:12:47.240
<v Speaker 6>So when I think about investor interest in Replet, it's

0:12:47.280 --> 0:12:50.560
<v Speaker 6>really a bet on getting the non technical coders start

0:12:50.640 --> 0:12:53.160
<v Speaker 6>shipping apps and trying it themselves.

0:12:53.360 --> 0:12:57.640
<v Speaker 2>The Attasha Mascarinus making the Bloomberg Tech debut starting twenty

0:12:57.679 --> 0:12:59.960
<v Speaker 2>twenty six strong, what do we expect? What is the

0:13:00.240 --> 0:13:05.240
<v Speaker 2>Replet round signal for the fundraising environment for AI? My

0:13:05.360 --> 0:13:06.839
<v Speaker 2>hunch is that you're going to be pretty busy.

0:13:07.000 --> 0:13:08.400
<v Speaker 4>It's going to be a very busy year.

0:13:08.679 --> 0:13:08.880
<v Speaker 7>You know.

0:13:08.920 --> 0:13:10.840
<v Speaker 6>When I think about what used to be the standard

0:13:10.840 --> 0:13:12.720
<v Speaker 6>in Silicon Valley, I used to think you need an

0:13:12.760 --> 0:13:15.960
<v Speaker 6>outside investor to value each new round, to give you

0:13:16.040 --> 0:13:18.079
<v Speaker 6>sort of a new mark in Silicon Valley of being

0:13:18.120 --> 0:13:21.920
<v Speaker 6>deserving of that valuation. For me, now that's a retired concept.

0:13:21.960 --> 0:13:26.040
<v Speaker 6>Seeing Georgian come in and back an existing investment at

0:13:26.040 --> 0:13:29.120
<v Speaker 6>that higher evaluation is considered them making a smart and

0:13:29.160 --> 0:13:32.680
<v Speaker 6>savvy move with asymmetric information. So I expect to see

0:13:32.720 --> 0:13:36.320
<v Speaker 6>a lot more existing investors marking up their stakes, looking

0:13:36.320 --> 0:13:39.440
<v Speaker 6>to double down on their big bets and get bigger

0:13:39.520 --> 0:13:41.840
<v Speaker 6>chunks of those startups, because we definitely know they're going

0:13:41.880 --> 0:13:44.959
<v Speaker 6>to be raising more and maybe diluting that ownership as

0:13:45.000 --> 0:13:45.600
<v Speaker 6>time goes on.

0:13:45.920 --> 0:13:49.360
<v Speaker 2>Bloomberg's and Tash Mascarinus thank you. Another story in the

0:13:49.360 --> 0:13:53.560
<v Speaker 2>world of private markets, German investor Digital Transformation Capital Partners

0:13:53.880 --> 0:13:56.480
<v Speaker 2>is gearing up to raise what would be Europe's largest

0:13:56.480 --> 0:13:59.800
<v Speaker 2>ever venture capital fund focused on defense startups, with the

0:13:59.800 --> 0:14:03.319
<v Speaker 2>target of about five hundred and eighty million US dollars.

0:14:03.760 --> 0:14:07.560
<v Speaker 2>Tech reporter Christina Kuriosoglu has been following the story. Joins

0:14:07.640 --> 0:14:10.680
<v Speaker 2>us now from Berlin. Tell me about the fund, you know,

0:14:10.760 --> 0:14:14.280
<v Speaker 2>the size is the headline, but the players and what

0:14:14.320 --> 0:14:15.839
<v Speaker 2>they hope to do with the money raised.

0:14:18.120 --> 0:14:18.480
<v Speaker 4>Yeah.

0:14:18.559 --> 0:14:24.000
<v Speaker 8>So TDCP is a firm that's Hamburg based and they

0:14:24.480 --> 0:14:29.600
<v Speaker 8>will be looking at supply chains, materials, robotics and all

0:14:29.680 --> 0:14:33.800
<v Speaker 8>kinds of things that are concerned with the defense infrastructure

0:14:33.880 --> 0:14:38.240
<v Speaker 8>in Europe. And you know, the process here, it's been

0:14:38.400 --> 0:14:44.200
<v Speaker 8>pretty slow. Russia's full scale invasion into Ukraine happened nearly

0:14:44.280 --> 0:14:48.160
<v Speaker 8>four years ago, and just now we slowly see more

0:14:48.200 --> 0:14:51.320
<v Speaker 8>and more funds being raised across Europe that are looking

0:14:51.360 --> 0:14:55.120
<v Speaker 8>at at the tech Even though that conflict has shown

0:14:55.320 --> 0:15:00.640
<v Speaker 8>how important drones become and what kind of like modern warfare.

0:15:00.720 --> 0:15:02.000
<v Speaker 8>Questions have come.

0:15:01.880 --> 0:15:05.240
<v Speaker 2>Up that there are companies and telling out there, but

0:15:05.320 --> 0:15:07.080
<v Speaker 2>in your reporting, do you get a sense for why

0:15:07.120 --> 0:15:09.520
<v Speaker 2>it's been so slow if the techs there in the

0:15:09.520 --> 0:15:13.360
<v Speaker 2>capital is finally there as well, Yes.

0:15:13.440 --> 0:15:16.600
<v Speaker 8>So a couple of reasons, of course. So what we've

0:15:16.640 --> 0:15:21.320
<v Speaker 8>been hearing from our sources is that, for example, DTCPS

0:15:21.480 --> 0:15:26.040
<v Speaker 8>funds now is being anchored by Porsche, the family holding,

0:15:26.040 --> 0:15:29.920
<v Speaker 8>and by Deutsche Telecom and this marks a massive shift

0:15:30.080 --> 0:15:33.360
<v Speaker 8>in mentality that these companies are now investing in a

0:15:33.440 --> 0:15:38.520
<v Speaker 8>fund that potentially will back weapons systems. So private companies

0:15:38.600 --> 0:15:41.040
<v Speaker 8>put a lot of restrictions on themselves when it came

0:15:41.080 --> 0:15:45.600
<v Speaker 8>to weapon investments, and also public funds were very slow

0:15:45.680 --> 0:15:50.040
<v Speaker 8>to adjust. And at the same time, you know, it's

0:15:50.080 --> 0:15:55.160
<v Speaker 8>not just the companies, it's also a market question in

0:15:55.320 --> 0:15:59.800
<v Speaker 8>terms of if you're looking to develop weapons and military

0:16:00.560 --> 0:16:04.680
<v Speaker 8>then you need a founder that has the respective experience,

0:16:04.880 --> 0:16:08.760
<v Speaker 8>and you also probably only have one customer, and that

0:16:08.880 --> 0:16:12.240
<v Speaker 8>is the government or a government for that matter, and

0:16:12.320 --> 0:16:15.600
<v Speaker 8>that's a tough customer to have because the procurement processes

0:16:15.640 --> 0:16:20.280
<v Speaker 8>are slow and the you know, it's very complex, so

0:16:20.560 --> 0:16:25.400
<v Speaker 8>I think to come back to DTCP, they kind of

0:16:25.440 --> 0:16:28.040
<v Speaker 8>like broadened the space that they want to invest in

0:16:28.040 --> 0:16:31.880
<v Speaker 8>in a bit to look at products that are being

0:16:31.920 --> 0:16:36.440
<v Speaker 8>made for civilian and military technologies and for weapons, to

0:16:36.520 --> 0:16:38.720
<v Speaker 8>kind of like circle around that question.

0:16:39.880 --> 0:16:42.960
<v Speaker 2>Bloomberg Tech reporter Christina curious Oglu, Great to have you

0:16:43.000 --> 0:16:45.440
<v Speaker 2>on the show, Thank you so much. Coming up the

0:16:45.560 --> 0:16:49.200
<v Speaker 2>rise of humanoid robots and why Barclays says it could

0:16:49.200 --> 0:16:51.520
<v Speaker 2>be the next two hundred billion dollar market.

0:16:52.080 --> 0:16:53.000
<v Speaker 4>This is Blouemberg Tech.

0:17:06.760 --> 0:17:09.040
<v Speaker 9>Just a few years ago. The robots here were kind

0:17:09.040 --> 0:17:09.480
<v Speaker 9>of yankee.

0:17:09.640 --> 0:17:12.159
<v Speaker 10>They were wobbly, and they had wires coming out of

0:17:12.160 --> 0:17:16.200
<v Speaker 10>their head, and they looked like science experiments. And it's

0:17:16.520 --> 0:17:20.080
<v Speaker 10>really fascinating to see just how quickly humanoids are turning

0:17:20.080 --> 0:17:21.720
<v Speaker 10>it into a real product.

0:17:23.359 --> 0:17:26.040
<v Speaker 2>That was Open Mind CEO Jan Liphart speaking of US

0:17:26.080 --> 0:17:30.600
<v Speaker 2>at CEES, where humanoid robots dominated the conversation. This week,

0:17:30.960 --> 0:17:35.359
<v Speaker 2>Barkley's published its forecast for the humanoid market, with expectations

0:17:35.600 --> 0:17:38.160
<v Speaker 2>that it could grow to two hundred billion dollars by

0:17:38.200 --> 0:17:40.960
<v Speaker 2>twenty thirty five. Here to break down that research is

0:17:41.000 --> 0:17:46.280
<v Speaker 2>zonitza Tudor rover Barkley's Somatic FICC research team director. Really

0:17:46.320 --> 0:17:49.639
<v Speaker 2>timely piece of research as well. And what is interesting

0:17:49.720 --> 0:17:52.919
<v Speaker 2>is there's the two hundred billion dollar market forecast, but

0:17:53.040 --> 0:17:56.439
<v Speaker 2>you identify two or three key factors about why you

0:17:56.520 --> 0:17:58.800
<v Speaker 2>now see the commercial viability.

0:17:59.080 --> 0:18:00.560
<v Speaker 4>What are those factors?

0:18:01.600 --> 0:18:04.000
<v Speaker 11>Hello and Capornik, and thanks for having me on the show.

0:18:04.160 --> 0:18:07.480
<v Speaker 11>AI is indeed getting very physical, and I think humanoid

0:18:07.640 --> 0:18:10.560
<v Speaker 11>robots are the forefront of his strength. But I think

0:18:10.640 --> 0:18:14.400
<v Speaker 11>the reason why the proposition is changing and why there's

0:18:14.440 --> 0:18:17.000
<v Speaker 11>going to be demand for these robots is because the

0:18:17.080 --> 0:18:21.800
<v Speaker 11>demographics of the war population is changing. The reality is

0:18:21.920 --> 0:18:26.359
<v Speaker 11>that humans are getting older. I think by twenty fifty

0:18:27.119 --> 0:18:30.280
<v Speaker 11>the share of people aged about sixty five is going

0:18:30.359 --> 0:18:33.560
<v Speaker 11>to double. Also, humans don't really want to live in

0:18:33.640 --> 0:18:36.160
<v Speaker 11>rural areas anymore. They want to be based in cities.

0:18:36.520 --> 0:18:39.880
<v Speaker 11>But the factories and the manufacturing facilities are actually located

0:18:39.920 --> 0:18:42.280
<v Speaker 11>outside of these cities, which creates a bit of a

0:18:42.359 --> 0:18:45.800
<v Speaker 11>structural issue. And then let's not forget that.

0:18:48.280 --> 0:18:50.440
<v Speaker 7>Workers' preferences are changing.

0:18:50.119 --> 0:18:53.680
<v Speaker 11>So which means that they will be certain essential jobs

0:18:53.760 --> 0:18:57.760
<v Speaker 11>yet undesirable which might not be sealed. And I think

0:18:57.800 --> 0:19:01.240
<v Speaker 11>this is precisely where humanoid enter the picture. I think

0:19:01.280 --> 0:19:05.639
<v Speaker 11>they could be taking on these repetitive jobs, this now dirty,

0:19:05.680 --> 0:19:11.359
<v Speaker 11>potentially dangerous jobs of maintain productivity and producing efficiency gains

0:19:11.400 --> 0:19:12.920
<v Speaker 11>for the industry as a whole.

0:19:14.480 --> 0:19:16.960
<v Speaker 2>The main players in this field talk a lot about

0:19:17.000 --> 0:19:21.480
<v Speaker 2>the labor shortage in particular manufacturing and heavy industry. You're

0:19:21.480 --> 0:19:23.120
<v Speaker 2>saying it's going to be a two hundred billion dollar

0:19:23.720 --> 0:19:26.359
<v Speaker 2>market by twenty thirty five. In your research, do you

0:19:26.440 --> 0:19:28.760
<v Speaker 2>have any sense of how real the market is today,

0:19:29.119 --> 0:19:34.120
<v Speaker 2>how many humanoids are actually out there in manufacturing contexts

0:19:34.160 --> 0:19:37.440
<v Speaker 2>around the world in present day.

0:19:38.000 --> 0:19:40.760
<v Speaker 11>The reality is that I think that humanoid robots are

0:19:41.400 --> 0:19:44.280
<v Speaker 11>no longer confined to research labs. They're stepping out of

0:19:44.280 --> 0:19:46.840
<v Speaker 11>the lab and they're getting into the real economy, into

0:19:46.840 --> 0:19:52.040
<v Speaker 11>the real world. They are a couple of thousand humanoid

0:19:52.080 --> 0:19:57.639
<v Speaker 11>robots already deployed on factory floors doing actual work in manufacturing,

0:19:57.720 --> 0:20:00.399
<v Speaker 11>which I think is a natural starting place. Goes the

0:20:00.840 --> 0:20:04.960
<v Speaker 11>jobs that are more structured, more easily defined, so it

0:20:05.000 --> 0:20:08.440
<v Speaker 11>is the place to start for humanoids. But I think

0:20:08.440 --> 0:20:10.280
<v Speaker 11>this is going to change in the next five to

0:20:10.320 --> 0:20:13.359
<v Speaker 11>ten years as the technology matures and as this market

0:20:13.400 --> 0:20:15.600
<v Speaker 11>picks up space. So I think I wouldn't be surprised

0:20:15.640 --> 0:20:19.080
<v Speaker 11>that by twenty thirty five, when we actually project that

0:20:19.320 --> 0:20:21.720
<v Speaker 11>the humanoids market is going to be as big as

0:20:21.720 --> 0:20:25.400
<v Speaker 11>two hundred billion dollars, that we'll see tens of thousands,

0:20:25.520 --> 0:20:28.240
<v Speaker 11>potentially even millions of humanoid robots.

0:20:29.560 --> 0:20:33.800
<v Speaker 2>The supply chain for the humanoid robot is fascinating. I

0:20:33.800 --> 0:20:35.919
<v Speaker 2>think a lot of emphasis at CES was on the

0:20:35.920 --> 0:20:39.639
<v Speaker 2>breakthroughs in the models themselves, the ability to solve, in

0:20:39.720 --> 0:20:44.159
<v Speaker 2>particular the real world data limitations. But you've got some

0:20:44.240 --> 0:20:47.000
<v Speaker 2>interesting pricing you're talking about, like you know, per unit

0:20:47.080 --> 0:20:50.360
<v Speaker 2>three million down to one hundred thousand, the economics changing

0:20:50.480 --> 0:20:54.280
<v Speaker 2>fifteen thousand dollars for a humanoid robot. What's happening that

0:20:54.320 --> 0:20:57.119
<v Speaker 2>gives you conviction that you'll see that change in the

0:20:57.160 --> 0:20:58.840
<v Speaker 2>economics of a humanoid robot?

0:21:00.200 --> 0:21:00.360
<v Speaker 3>Right?

0:21:00.400 --> 0:21:02.200
<v Speaker 11>So, I think that there are a couple of things

0:21:02.200 --> 0:21:04.280
<v Speaker 11>happening at the same time. First of all, over the

0:21:04.320 --> 0:21:08.280
<v Speaker 11>past three to five years, we've seen really significant breakthroughs

0:21:08.280 --> 0:21:11.600
<v Speaker 11>in cognitive AI models. But it's not only the AI

0:21:11.720 --> 0:21:14.760
<v Speaker 11>that is getting better. The batteries are also getting better,

0:21:14.880 --> 0:21:18.600
<v Speaker 11>more efficient, more powerful, and they also have been significant

0:21:18.640 --> 0:21:21.679
<v Speaker 11>breakthroughs in high precision manufacturing and When I put all

0:21:21.720 --> 0:21:25.440
<v Speaker 11>these three components together, the result is that the unit

0:21:25.560 --> 0:21:30.560
<v Speaker 11>costs for producing humanoid robots is coming down. We estimate

0:21:30.600 --> 0:21:34.000
<v Speaker 11>in our research that costs have been thirty have declined

0:21:34.000 --> 0:21:36.800
<v Speaker 11>by thirty times over the past five years, from three

0:21:36.840 --> 0:21:40.200
<v Speaker 11>million dollars per unit to one hundred thousand dollars per unit,

0:21:40.400 --> 0:21:43.480
<v Speaker 11>and this means that the economics are getting optically more attractive.

0:21:43.640 --> 0:21:46.280
<v Speaker 11>The use cases are expanding, and hence I think that

0:21:46.280 --> 0:21:50.200
<v Speaker 11>the investment opportunity is also becoming more real and stronger.

0:21:50.480 --> 0:21:54.840
<v Speaker 2>Right, very quickly, Zanita, who's ahead? We have fifteen seconds

0:21:54.960 --> 0:21:56.880
<v Speaker 2>China or the United States here.

0:21:58.760 --> 0:22:00.920
<v Speaker 11>I think it's going to be a tough competition. I think,

0:22:00.920 --> 0:22:03.000
<v Speaker 11>for the moment if China, this is where we've seen

0:22:03.040 --> 0:22:04.879
<v Speaker 11>most of the Roberts being deployed. But I think the

0:22:05.000 --> 0:22:06.119
<v Speaker 11>US is quickly catching up.

0:22:07.960 --> 0:22:10.639
<v Speaker 2>So I need to throw over Berkley to again out

0:22:10.680 --> 0:22:12.919
<v Speaker 2>this week with the forecast that humanoid will be a

0:22:12.920 --> 0:22:15.920
<v Speaker 2>two hundred billion dollar market by twenty thirty five. Thank

0:22:15.960 --> 0:22:18.240
<v Speaker 2>you so much for joining us on the program. Now

0:22:18.240 --> 0:22:21.280
<v Speaker 2>coming up an important conversation, We're going to be joined

0:22:21.280 --> 0:22:25.440
<v Speaker 2>by the Chairman of the Federal Trade Commission to discuss antitrust,

0:22:25.760 --> 0:22:29.600
<v Speaker 2>consumer protection, and AI regulation. A lot has happened this

0:22:29.720 --> 0:22:33.639
<v Speaker 2>week with regards to the FTC. A conversation also about

0:22:34.320 --> 0:22:38.000
<v Speaker 2>aqua hiers, which in the technology industry was a mainstay

0:22:38.119 --> 0:22:39.960
<v Speaker 2>story of twenty twenty five.

0:22:40.240 --> 0:22:41.560
<v Speaker 4>That conversation is next.

0:22:41.800 --> 0:22:43.800
<v Speaker 2>This is what your markets look like, flat at the

0:22:43.840 --> 0:22:46.200
<v Speaker 2>index level, outperformance in chips.

0:22:46.680 --> 0:22:47.600
<v Speaker 4>This is Bloomberg Tech.

0:22:59.560 --> 0:23:03.040
<v Speaker 2>Welcome to our Bloomberg TV and radio audiences around the world.

0:23:03.119 --> 0:23:06.000
<v Speaker 2>A recurring theme of recent tech m and a has

0:23:06.040 --> 0:23:09.520
<v Speaker 2>been deals to bring in talent in so called aquahiers.

0:23:09.960 --> 0:23:12.639
<v Speaker 2>The Federal Trade Commission is taking notice. One member of

0:23:12.680 --> 0:23:17.360
<v Speaker 2>the FTC worn Thursday that these quote creative deal structures

0:23:17.680 --> 0:23:22.080
<v Speaker 2>could raise antitrust concerns. Let's discuss and delighted to welcome

0:23:22.119 --> 0:23:26.480
<v Speaker 2>Andrew Ferguson, Chairman of the FTC, to the program. We

0:23:26.600 --> 0:23:30.479
<v Speaker 2>cover the topic of aquahiers on Bloomberg Tech regularly. It

0:23:30.600 --> 0:23:35.200
<v Speaker 2>was a mainstay story in twenty twenty five. When does

0:23:35.200 --> 0:23:38.960
<v Speaker 2>a talent deal stop being a talent deal and become

0:23:39.560 --> 0:23:42.520
<v Speaker 2>more than that, become a merger? What are the rules

0:23:42.560 --> 0:23:46.800
<v Speaker 2>based approach that the FTC would take chairmen to look

0:23:46.840 --> 0:23:47.080
<v Speaker 2>at that?

0:23:48.800 --> 0:23:52.560
<v Speaker 12>Yeah, so we are examining look, aqui hiers have been around,

0:23:52.760 --> 0:23:56.000
<v Speaker 12>especially in the sort of startup founder space, for a

0:23:56.000 --> 0:24:01.080
<v Speaker 12>long time, and they've gotten bigger basically in the last

0:24:01.119 --> 0:24:03.480
<v Speaker 12>ad men and a lot of people were of the

0:24:03.560 --> 0:24:05.639
<v Speaker 12>view that these things were sort of being constructed in

0:24:05.680 --> 0:24:09.280
<v Speaker 12>these big deals to try to escape you know, Hart

0:24:09.320 --> 0:24:12.040
<v Speaker 12>Scott Rodino review, which is pre merger anti trust review

0:24:12.040 --> 0:24:15.320
<v Speaker 12>in the United States, because the Biden administration was trying

0:24:15.320 --> 0:24:17.440
<v Speaker 12>to block all deals, and I think generally they were

0:24:18.680 --> 0:24:21.879
<v Speaker 12>that isn't you know, necessary anymore. We don't need clever

0:24:22.119 --> 0:24:26.399
<v Speaker 12>workarounds for around anti trust review anymore because at the

0:24:26.440 --> 0:24:29.840
<v Speaker 12>FTC under the Trump administration, you get a fair shake.

0:24:30.040 --> 0:24:31.440
<v Speaker 9>I'm not saying your deal will go through.

0:24:31.600 --> 0:24:33.680
<v Speaker 12>I've sued to block several deals this year and I've

0:24:33.680 --> 0:24:37.080
<v Speaker 12>won those cases. But if your deal's not illegal, we

0:24:37.160 --> 0:24:38.679
<v Speaker 12>get out of the way and sort of let the

0:24:38.720 --> 0:24:41.600
<v Speaker 12>market take care of things. So we are beginning to

0:24:41.680 --> 0:24:44.960
<v Speaker 12>examine that the HSR Act has a provision that says

0:24:44.960 --> 0:24:47.600
<v Speaker 12>you're not allowed to structure deals in order to escape

0:24:47.760 --> 0:24:50.960
<v Speaker 12>pre merger review. And so we are beginning to examine

0:24:51.000 --> 0:24:54.679
<v Speaker 12>these actly hires to make sure that they aren't an

0:24:54.720 --> 0:24:56.840
<v Speaker 12>attempt to get around HSR.

0:24:56.880 --> 0:24:57.200
<v Speaker 9>Review.

0:24:57.240 --> 0:24:59.720
<v Speaker 12>But the message I want to send sort of Silicon

0:24:59.800 --> 0:25:02.639
<v Speaker 12>val and so the M and A infrastructure generally is

0:25:03.560 --> 0:25:07.280
<v Speaker 12>you don't need to structure deals as a clever, you know,

0:25:07.600 --> 0:25:10.280
<v Speaker 12>attempt to get around pre merger review. You'll get a

0:25:10.320 --> 0:25:13.200
<v Speaker 12>fair shake at the FTC. Deal may not go through,

0:25:13.520 --> 0:25:15.400
<v Speaker 12>but if your deal is legal, I will get out

0:25:15.400 --> 0:25:17.520
<v Speaker 12>of your way very quickly. And if it's not, I'll

0:25:17.520 --> 0:25:19.240
<v Speaker 12>take you to court and I'll fight to win there.

0:25:19.560 --> 0:25:22.280
<v Speaker 12>We're not going to let the process be the punishment anymore.

0:25:22.880 --> 0:25:24.520
<v Speaker 4>But jem, you know it is.

0:25:24.800 --> 0:25:26.920
<v Speaker 12>It is important to us, to us to make sure

0:25:26.960 --> 0:25:29.600
<v Speaker 12>that people aren't going to use clever deal.

0:25:29.440 --> 0:25:31.280
<v Speaker 9>Structures to get around pre merger review.

0:25:32.000 --> 0:25:35.199
<v Speaker 2>The language of clever or creative deal structures that I've

0:25:35.280 --> 0:25:38.040
<v Speaker 2>cited at the beginning of our conversation was from your

0:25:38.359 --> 0:25:41.240
<v Speaker 2>colleague and fellow commissioner Mark made or Right, who is

0:25:41.280 --> 0:25:44.480
<v Speaker 2>speaking at a conference in California yesterday. I think what

0:25:45.320 --> 0:25:48.400
<v Speaker 2>the industry hopes to understand from you is what the

0:25:48.440 --> 0:25:51.440
<v Speaker 2>threshold is or what the set of rules would be

0:25:51.960 --> 0:25:59.680
<v Speaker 2>where a hiring proposal situation should be reported to antitrust

0:25:59.720 --> 0:26:03.720
<v Speaker 2>author It should be Yeah, as simple as that, it

0:26:03.760 --> 0:26:05.400
<v Speaker 2>should be reported.

0:26:07.320 --> 0:26:10.400
<v Speaker 12>Yeah, and you know, we are beginning to examine how

0:26:10.440 --> 0:26:13.840
<v Speaker 12>these deals work. Aqui higher deal structures vary from deal

0:26:13.880 --> 0:26:17.119
<v Speaker 12>to deal, and so there wouldn't necessarily be sort of

0:26:17.119 --> 0:26:19.800
<v Speaker 12>a one size fits all rule, but we are beginning

0:26:19.840 --> 0:26:22.679
<v Speaker 12>to examine these big aqui higher deals that raise a

0:26:22.680 --> 0:26:26.040
<v Speaker 12>lot of attention so that we can understand when an

0:26:26.080 --> 0:26:28.960
<v Speaker 12>aqui hier is in fact an acquisition that might be

0:26:29.040 --> 0:26:32.119
<v Speaker 12>covered by the pre merger review laws and when it's not.

0:26:33.160 --> 0:26:35.480
<v Speaker 9>And we need to understand them before.

0:26:35.240 --> 0:26:37.879
<v Speaker 12>We're sort of out there telling people what the rules are.

0:26:37.920 --> 0:26:39.840
<v Speaker 12>But this is you're right, this has become a big

0:26:39.960 --> 0:26:42.719
<v Speaker 12>enough deal that we are beginning to work very closely

0:26:42.760 --> 0:26:46.000
<v Speaker 12>at how these things work, including you know, determining whether

0:26:46.040 --> 0:26:48.600
<v Speaker 12>we need to promulgate additional guidance here in the coming

0:26:48.640 --> 0:26:51.879
<v Speaker 12>months about how we understand these aqui hiers.

0:26:53.119 --> 0:26:55.280
<v Speaker 2>Is there a fact that that matters more to you,

0:26:55.280 --> 0:26:58.119
<v Speaker 2>you know, the number of employees hired, or putting a

0:26:58.200 --> 0:27:03.280
<v Speaker 2>value on the intellectual capital or the competitive advantage that

0:27:03.480 --> 0:27:05.080
<v Speaker 2>such a transaction would give the.

0:27:05.080 --> 0:27:10.840
<v Speaker 12>Aquara So the value that matters for HSR is set

0:27:10.880 --> 0:27:13.159
<v Speaker 12>by the statute that's not really here or there, but

0:27:13.280 --> 0:27:18.600
<v Speaker 12>the HSR Act applies to deals where assets or stock

0:27:18.720 --> 0:27:22.240
<v Speaker 12>are being purchased, and that's what triggers HSR review. And

0:27:22.280 --> 0:27:25.439
<v Speaker 12>so what we need to understand, which is why we're

0:27:25.480 --> 0:27:28.479
<v Speaker 12>beginning to examine this question now, is when does an

0:27:28.520 --> 0:27:32.119
<v Speaker 12>aqui hier you know, involve the sale of the acquisition

0:27:32.359 --> 0:27:35.000
<v Speaker 12>of assets or stock in a way that would trigger

0:27:35.080 --> 0:27:37.120
<v Speaker 12>the statute. Look, at the end of the day, I'm

0:27:37.119 --> 0:27:40.119
<v Speaker 12>a lawyer and a law enforcer, and I enforced statutes,

0:27:40.160 --> 0:27:43.080
<v Speaker 12>and those statutes have texts, and so it's my job

0:27:43.160 --> 0:27:46.879
<v Speaker 12>to understand whether things happening in the marketplace trigger the

0:27:46.920 --> 0:27:49.439
<v Speaker 12>text that Congress is actually passed for us. But that's

0:27:49.480 --> 0:27:51.480
<v Speaker 12>what we're looking at. We're not trying to set sort

0:27:51.480 --> 0:27:54.240
<v Speaker 12>of we wouldn't be setting like aqui hier rules generally,

0:27:54.520 --> 0:27:56.919
<v Speaker 12>we would be looking at deals and trying to understand,

0:27:57.240 --> 0:27:59.960
<v Speaker 12>you know, does this in fact involve the acquisition or

0:28:00.080 --> 0:28:03.840
<v Speaker 12>sale of assets or stock and is anything being structured

0:28:03.840 --> 0:28:07.080
<v Speaker 12>as an attempt to circumvent review. But you know, I'm

0:28:07.119 --> 0:28:09.200
<v Speaker 12>not here to say this is what the rules are.

0:28:09.240 --> 0:28:11.800
<v Speaker 12>There will be you know, hard and fast, clear rules.

0:28:12.040 --> 0:28:14.399
<v Speaker 12>There aren't even for the ordinary deals. We've got the

0:28:14.680 --> 0:28:17.159
<v Speaker 12>you know, the HSR Act and the HSR rules. But

0:28:17.240 --> 0:28:19.560
<v Speaker 12>deal structure is even an ordinary in then a very

0:28:19.640 --> 0:28:24.000
<v Speaker 12>widely and so we have to apply the text that Congress.

0:28:23.680 --> 0:28:25.320
<v Speaker 9>Actually wrote to specific deals.

0:28:25.640 --> 0:28:29.280
<v Speaker 12>But aqui hiers have become frequent enough and large enough

0:28:29.640 --> 0:28:32.360
<v Speaker 12>that we are beginning to look at the appropriate way

0:28:32.400 --> 0:28:36.240
<v Speaker 12>to apply the law that Congress actually adopted to aquihiers.

0:28:36.520 --> 0:28:37.800
<v Speaker 9>I don't it's not my job.

0:28:37.680 --> 0:28:40.239
<v Speaker 12>As an enforcer to sort of fit square pegs into

0:28:40.360 --> 0:28:42.440
<v Speaker 12>round holes. But it is my job to make sure

0:28:42.480 --> 0:28:44.440
<v Speaker 12>that the will of Congress, which is the will of

0:28:44.520 --> 0:28:46.840
<v Speaker 12>the people at the end of the day, is being followed.

0:28:46.840 --> 0:28:48.400
<v Speaker 12>And that's what we're here to try to do. We're

0:28:48.440 --> 0:28:51.120
<v Speaker 12>trying to figure out how that applies in the case

0:28:51.160 --> 0:28:52.520
<v Speaker 12>of aquehiers.

0:28:53.120 --> 0:28:55.440
<v Speaker 2>CHAM and how common is this in the field of

0:28:55.440 --> 0:29:01.040
<v Speaker 2>ofstficial intelligence or how often is this particular scenario, And

0:29:01.120 --> 0:29:07.240
<v Speaker 2>crossing your desk from the AI industry.

0:29:06.320 --> 0:29:09.560
<v Speaker 9>We've seen a couple in the last twelve months.

0:29:09.680 --> 0:29:12.480
<v Speaker 12>My understanding is that the act we hire sort of structure,

0:29:12.760 --> 0:29:14.960
<v Speaker 12>if you want to call it that, where you know,

0:29:16.360 --> 0:29:19.080
<v Speaker 12>a firm acquires a lot of the talent and another

0:29:19.120 --> 0:29:21.040
<v Speaker 12>firm is pretty old, has been going on for a

0:29:21.080 --> 0:29:24.280
<v Speaker 12>long time, but it often involves very small firms, and

0:29:24.280 --> 0:29:25.920
<v Speaker 12>I think the reason that a lot of people are

0:29:25.920 --> 0:29:28.640
<v Speaker 12>starting to notice it is because now it involves much

0:29:28.720 --> 0:29:32.160
<v Speaker 12>larger firms, and the sort of price being attached to

0:29:32.640 --> 0:29:37.120
<v Speaker 12>obtaining the talent into licensing IP is in the billions.

0:29:37.320 --> 0:29:39.040
<v Speaker 9>So I've definitely seen a couple in the.

0:29:38.960 --> 0:29:42.640
<v Speaker 12>AI space this year, which is why has attracted a

0:29:42.640 --> 0:29:44.760
<v Speaker 12>lot of the attention, and it's why we're beginning to

0:29:44.800 --> 0:29:48.160
<v Speaker 12>try to examine how are these working and how does

0:29:48.360 --> 0:29:52.720
<v Speaker 12>the law that Congress passed governing pre merger review actually

0:29:52.760 --> 0:29:56.680
<v Speaker 12>apply here as well as the provision in the pre

0:29:56.760 --> 0:30:00.560
<v Speaker 12>merger review law that says you can't structure deal in

0:30:00.720 --> 0:30:04.440
<v Speaker 12>order to try to escape HSR review. So that is

0:30:04.440 --> 0:30:06.320
<v Speaker 12>what we are trying to understand now. But certainly, I

0:30:06.360 --> 0:30:09.000
<v Speaker 12>mean you are reported on them, you can read them

0:30:09.000 --> 0:30:11.320
<v Speaker 12>about them on the Wall Street Journal. It's definitely true

0:30:11.320 --> 0:30:13.000
<v Speaker 12>that there have been a couple of these big ones

0:30:13.080 --> 0:30:14.920
<v Speaker 12>in the AI area.

0:30:16.160 --> 0:30:16.760
<v Speaker 4>You're alive with.

0:30:16.760 --> 0:30:19.320
<v Speaker 2>Us on Bloomberg Television, Bloomberg Radar around the world. We're

0:30:19.320 --> 0:30:23.360
<v Speaker 2>speaking to Andrew Ferguson, Chairman of the FTC. I think

0:30:23.600 --> 0:30:25.920
<v Speaker 2>the biggest case study of late which just to give

0:30:25.960 --> 0:30:30.440
<v Speaker 2>an example of the structure is Nvidio and GROC because

0:30:30.680 --> 0:30:32.440
<v Speaker 2>you know what in video CEO Jens Mung told me

0:30:32.480 --> 0:30:34.520
<v Speaker 2>a couple of weeks ago is they hired about four

0:30:34.600 --> 0:30:38.320
<v Speaker 2>hundred engineers, but it also included the licensing of the

0:30:38.320 --> 0:30:42.240
<v Speaker 2>core technology at a twenty billion dollar value. But over

0:30:42.600 --> 0:30:46.440
<v Speaker 2>a set time Horizon Grock exists as a company still,

0:30:46.480 --> 0:30:48.960
<v Speaker 2>but with a focus on one of its business lines,

0:30:49.360 --> 0:30:54.560
<v Speaker 2>that hiring and licensing of technology format. Is there anything specific.

0:30:54.240 --> 0:30:58.959
<v Speaker 12>There, Chairman, Yeah, so I can't talk about specific deals

0:30:59.080 --> 0:31:03.360
<v Speaker 12>or specific buttial investigations. As a law enforcer, you know,

0:31:03.400 --> 0:31:06.000
<v Speaker 12>I have to maintain a lot of confidentiality about the

0:31:06.040 --> 0:31:09.600
<v Speaker 12>work of the commission. But I mean, you know, that

0:31:10.280 --> 0:31:13.520
<v Speaker 12>particular structure of the equahier was different from example, from

0:31:13.600 --> 0:31:17.600
<v Speaker 12>the one that Meta conducted earlier in the year. These

0:31:17.600 --> 0:31:18.880
<v Speaker 12>things vary pretty wildly.

0:31:18.920 --> 0:31:19.640
<v Speaker 9>The terms of the.

0:31:19.560 --> 0:31:22.960
<v Speaker 12>Aile I'm sorry, of the software and IP licensing can vary.

0:31:23.280 --> 0:31:27.560
<v Speaker 12>The number of employees obtained in the transaction can vary.

0:31:28.280 --> 0:31:30.560
<v Speaker 12>So we're trying to understand these things first of all,

0:31:30.600 --> 0:31:32.840
<v Speaker 12>because the last thing I want to do is sort

0:31:32.880 --> 0:31:35.600
<v Speaker 12>of blindly charge ahead with a bunch of you know,

0:31:35.880 --> 0:31:40.000
<v Speaker 12>sort of pre determined assumptions and start trying to apply

0:31:40.040 --> 0:31:42.880
<v Speaker 12>the law to something we don't understand. But it is

0:31:43.000 --> 0:31:45.720
<v Speaker 12>very important to me, because it's very important to Congress

0:31:46.160 --> 0:31:49.520
<v Speaker 12>that people not try to come up with ways to

0:31:49.560 --> 0:31:51.640
<v Speaker 12>attempt to get around pre merger review.

0:31:52.040 --> 0:31:53.920
<v Speaker 9>And that's what we're looking at. And again, it's just

0:31:54.000 --> 0:31:54.960
<v Speaker 9>not necessary.

0:31:55.080 --> 0:31:56.960
<v Speaker 12>I get why people wanted to do this in the

0:31:57.000 --> 0:32:00.680
<v Speaker 12>previous administration, where the anti trust enforcers tended to use

0:32:00.720 --> 0:32:03.040
<v Speaker 12>the process as a way to block deals rather than

0:32:03.280 --> 0:32:05.080
<v Speaker 12>you know, sort of being a lot more honest about

0:32:05.080 --> 0:32:08.040
<v Speaker 12>it than taking people to court. But under the Trump administration,

0:32:08.840 --> 0:32:10.280
<v Speaker 12>we are either going to get out of your way

0:32:10.360 --> 0:32:11.280
<v Speaker 12>very quickly or.

0:32:11.240 --> 0:32:12.440
<v Speaker 9>We are going to take you to court.

0:32:12.480 --> 0:32:15.120
<v Speaker 12>We're not letting the process be the punishment, and so

0:32:15.400 --> 0:32:17.520
<v Speaker 12>people don't need to try to come up with ways

0:32:17.560 --> 0:32:18.720
<v Speaker 12>to get around HSR.

0:32:18.960 --> 0:32:20.920
<v Speaker 9>You will get a fair shake at the FTC.

0:32:22.080 --> 0:32:25.320
<v Speaker 2>Chivan, there's a lot of interest in the FTC and

0:32:25.400 --> 0:32:28.280
<v Speaker 2>consumer protection and what the FTC's remit is in the

0:32:28.320 --> 0:32:29.280
<v Speaker 2>domain of AI.

0:32:29.640 --> 0:32:30.480
<v Speaker 4>It's an example.

0:32:30.520 --> 0:32:33.520
<v Speaker 2>I know you won't comment on specific cases, but x

0:32:33.560 --> 0:32:36.400
<v Speaker 2>and Elon musk s XAI and Grock have been in

0:32:36.440 --> 0:32:39.680
<v Speaker 2>the news because of the use of the tool to

0:32:39.720 --> 0:32:44.960
<v Speaker 2>generate non consen sensual sexualized images. Does the FTC have

0:32:45.040 --> 0:32:49.760
<v Speaker 2>a role in regulating from a consumer protection standpoint that domain?

0:32:51.640 --> 0:32:53.160
<v Speaker 9>Yeah, I mean the President.

0:32:53.240 --> 0:32:56.800
<v Speaker 12>Congress passed and the President signed in spring of last

0:32:56.840 --> 0:32:59.920
<v Speaker 12>year the Take a Down Act, which is seminal groundbreak

0:33:00.240 --> 0:33:06.360
<v Speaker 12>legislation to protect people from artificially generated non consensual intimate images.

0:33:07.160 --> 0:33:10.440
<v Speaker 12>The criminal component of that law that the Department of

0:33:10.560 --> 0:33:12.520
<v Speaker 12>Justice enforces is already in effect.

0:33:12.880 --> 0:33:14.760
<v Speaker 9>The part that we enforce where we.

0:33:14.680 --> 0:33:18.840
<v Speaker 12>Have to compel platforms to take down these images and

0:33:18.880 --> 0:33:21.640
<v Speaker 12>then bring enforcement actions if they fail, will take effect

0:33:21.640 --> 0:33:22.240
<v Speaker 12>in the spring.

0:33:22.680 --> 0:33:23.800
<v Speaker 9>We are getting ready for that.

0:33:24.200 --> 0:33:28.600
<v Speaker 12>I have been meeting with the elite child protection prosecutors

0:33:28.640 --> 0:33:31.239
<v Speaker 12>and investigators at the Department of Homeland Security to make

0:33:31.280 --> 0:33:33.840
<v Speaker 12>sure that we're synced up on that mission. This is

0:33:33.880 --> 0:33:35.920
<v Speaker 12>relatively new to the FTC, and I want to make

0:33:35.960 --> 0:33:38.560
<v Speaker 12>sure we hit the ground running when the authority takes effect.

0:33:38.840 --> 0:33:43.719
<v Speaker 12>Right now, we are hiring specialists, prosecutors, lawyers, investigators, and

0:33:43.840 --> 0:33:47.640
<v Speaker 12>IT experts to enable us the second that this thing

0:33:47.680 --> 0:33:51.160
<v Speaker 12>takes effect to start bringing enforcement actions wherever these things

0:33:51.160 --> 0:33:53.680
<v Speaker 12>are happening. And I don't care what kind of company

0:33:53.720 --> 0:33:55.240
<v Speaker 12>you are, if you are a platform.

0:33:55.320 --> 0:33:55.960
<v Speaker 9>Whether you're a.

0:33:55.960 --> 0:33:59.800
<v Speaker 12>Legacy social media company a burgeoning AI company, I don't

0:33:59.800 --> 0:34:02.280
<v Speaker 12>care if you are violating to take a down Act.

0:34:02.320 --> 0:34:03.800
<v Speaker 12>You are going to hear from us, and we are

0:34:03.840 --> 0:34:05.960
<v Speaker 12>going to be ready to do it. This is incredibly

0:34:05.960 --> 0:34:09.200
<v Speaker 12>important legislation. I'm really excited that the FTC has a

0:34:09.280 --> 0:34:12.080
<v Speaker 12>role in this. I lobby Congress very heavily to make

0:34:12.120 --> 0:34:15.080
<v Speaker 12>sure that we had enough money to get this program

0:34:15.120 --> 0:34:17.160
<v Speaker 12>off the ground. When it takes effect in the middle

0:34:17.160 --> 0:34:19.560
<v Speaker 12>of this year. You're getting that money and we will

0:34:19.560 --> 0:34:20.000
<v Speaker 12>be ready.

0:34:21.320 --> 0:34:21.640
<v Speaker 4>Chairman.

0:34:21.680 --> 0:34:25.719
<v Speaker 2>President Trump has nominated David McNeil to the Commission.

0:34:25.840 --> 0:34:27.760
<v Speaker 4>Our audience have asked.

0:34:27.520 --> 0:34:30.760
<v Speaker 2>Me to ask you your thoughts on that someone perhaps

0:34:30.760 --> 0:34:37.080
<v Speaker 2>without antitrust experienced legal experience, the Commission experience, and somebody

0:34:37.160 --> 0:34:40.400
<v Speaker 2>you know, frankly with high net wealth.

0:34:40.719 --> 0:34:41.879
<v Speaker 4>Your thoughts please.

0:34:43.600 --> 0:34:43.880
<v Speaker 9>Look.

0:34:44.280 --> 0:34:46.399
<v Speaker 12>I am generally of the view that Washington has too

0:34:46.400 --> 0:34:49.440
<v Speaker 12>many lawyers. I think it is great that the President

0:34:49.480 --> 0:34:52.239
<v Speaker 12>has decided to nominate someone who isn't a lawyer, who

0:34:52.440 --> 0:34:55.399
<v Speaker 12>doesn't sort of think in the pathways that lawyers always think.

0:34:55.480 --> 0:34:58.600
<v Speaker 12>I think it's great that the President has nominated. You know,

0:34:58.719 --> 0:35:00.759
<v Speaker 12>I've never met mister McNeil I've talked him a little

0:35:00.760 --> 0:35:03.760
<v Speaker 12>since the nomination. The man is a true American patriot.

0:35:03.800 --> 0:35:06.359
<v Speaker 12>He's created thousands of jobs in this country. He has

0:35:06.400 --> 0:35:11.080
<v Speaker 12>been one of the most outspoken proponents of manufacturing here

0:35:11.120 --> 0:35:14.200
<v Speaker 12>in America. That has been one of the President's principal

0:35:14.320 --> 0:35:17.400
<v Speaker 12>economic priorities is to make sure we make and build

0:35:17.440 --> 0:35:21.000
<v Speaker 12>things in America. David McNeil has done that. He has

0:35:21.040 --> 0:35:23.560
<v Speaker 12>been successful in doing that, and I think it's great

0:35:23.800 --> 0:35:25.799
<v Speaker 12>that there is going to be sort of someone with

0:35:25.920 --> 0:35:29.120
<v Speaker 12>that perspective who isn't coming at this like I am

0:35:29.200 --> 0:35:32.120
<v Speaker 12>from fancy law schools with a long sort of litigation

0:35:32.280 --> 0:35:35.200
<v Speaker 12>and law enforcement background. He's coming at it as a

0:35:35.320 --> 0:35:39.040
<v Speaker 12>job creator, as a wealth creator, and as one of

0:35:39.200 --> 0:35:42.440
<v Speaker 12>the most outspoken proponents of manufacturing in America that there

0:35:42.480 --> 0:35:45.600
<v Speaker 12>is in this country. You know, is it an unconventional pick, Yeah,

0:35:45.640 --> 0:35:48.080
<v Speaker 12>of course it is. But part of what has made

0:35:48.120 --> 0:35:51.000
<v Speaker 12>President Trump so successful is that he doesn't always think

0:35:51.080 --> 0:35:53.360
<v Speaker 12>in the conventions that governed DC. And I think that

0:35:53.440 --> 0:35:56.160
<v Speaker 12>this is a really, really good idea to bring someone

0:35:56.200 --> 0:35:58.440
<v Speaker 12>with mister McNeil's perspective here to the Commission.

0:36:00.280 --> 0:36:03.640
<v Speaker 2>The major concern for the consumer right now is affordability.

0:36:04.480 --> 0:36:08.680
<v Speaker 2>What is the FTC able to do on pricing pressure,

0:36:08.760 --> 0:36:11.720
<v Speaker 2>bringing prices down, addressing that consumer concern.

0:36:13.560 --> 0:36:15.919
<v Speaker 12>Yeah, I mean, it's one of my main concerns too.

0:36:16.239 --> 0:36:18.240
<v Speaker 12>We're doing a lot on this front. On the merger

0:36:18.280 --> 0:36:21.319
<v Speaker 12>review front, my first two merger enforcement actions were in

0:36:21.320 --> 0:36:27.640
<v Speaker 12>the healthcare space. Just won one of those healthcare enforcement

0:36:27.680 --> 0:36:31.200
<v Speaker 12>actions last week and several months before the judge denied

0:36:31.200 --> 0:36:34.359
<v Speaker 12>our injunction, but only because after I sued them, they

0:36:34.400 --> 0:36:36.960
<v Speaker 12>offered to divest the assets that were the problem, so

0:36:37.040 --> 0:36:39.160
<v Speaker 12>that was a win for the Commission as well. Another

0:36:39.239 --> 0:36:43.239
<v Speaker 12>merger enforcement action I brought is about industrial adhesives that

0:36:43.280 --> 0:36:45.759
<v Speaker 12>are used to build homes. We have a real home

0:36:45.800 --> 0:36:48.719
<v Speaker 12>building crisis in this country. Although under President Trump, home

0:36:48.760 --> 0:36:51.239
<v Speaker 12>sales went up last year for the first time in

0:36:51.280 --> 0:36:54.279
<v Speaker 12>a while, we still have a home affordability crisis in

0:36:54.280 --> 0:36:58.440
<v Speaker 12>this country. And I have focused intently on the competition side,

0:36:58.600 --> 0:37:03.400
<v Speaker 12>on making sure that we are active in markets grocery, healthcare,

0:37:04.040 --> 0:37:07.360
<v Speaker 12>homes to try to bring prices down consumers and to

0:37:07.440 --> 0:37:10.720
<v Speaker 12>make sure that all Americans get the advantages that come

0:37:11.040 --> 0:37:14.520
<v Speaker 12>with vigorous competition. On the other side, I sued ticket

0:37:14.560 --> 0:37:18.960
<v Speaker 12>Master and a groundbreaking lawsuit charging them with having basically

0:37:18.960 --> 0:37:22.360
<v Speaker 12>inflated all the prices of tickets in violation of multiple

0:37:22.400 --> 0:37:26.839
<v Speaker 12>federal laws. Americans have been complaining justly for a long

0:37:26.920 --> 0:37:29.960
<v Speaker 12>time that it has become almost impossible to take your

0:37:29.960 --> 0:37:33.520
<v Speaker 12>family to a ballgame or to a concert without having

0:37:33.520 --> 0:37:35.640
<v Speaker 12>to fork over the value of a mortgage payment to

0:37:35.680 --> 0:37:37.960
<v Speaker 12>do it. We have been very active in the ticketing

0:37:38.000 --> 0:37:40.120
<v Speaker 12>space to make sure that those prices are going to

0:37:40.160 --> 0:37:43.240
<v Speaker 12>come down. We have been bringing actions on the consumer

0:37:43.239 --> 0:37:46.760
<v Speaker 12>protection side in the healthcare space. We've also been bringing

0:37:46.760 --> 0:37:49.840
<v Speaker 12>a lot of consumer protection cases and competition cases to

0:37:49.880 --> 0:37:54.400
<v Speaker 12>protect the value of wages against non competes, against job scams.

0:37:54.800 --> 0:37:57.839
<v Speaker 12>The FTC is a little agency. Our budget is even

0:37:57.960 --> 0:38:01.200
<v Speaker 12>half a billion dollars, but we have returned literally billions

0:38:01.200 --> 0:38:04.279
<v Speaker 12>of dollars of wrongfully taking money just in the last

0:38:04.360 --> 0:38:07.040
<v Speaker 12>year back in the pockets of the American consumers. We

0:38:07.160 --> 0:38:10.719
<v Speaker 12>are doing everything we can within our little remit to

0:38:10.800 --> 0:38:13.400
<v Speaker 12>try to bring down prices and to make this country

0:38:13.400 --> 0:38:15.480
<v Speaker 12>a more affordable place to live, which is exactly what

0:38:15.560 --> 0:38:17.000
<v Speaker 12>President Trump has been telling us to do.

0:38:17.880 --> 0:38:18.240
<v Speaker 4>Chairman.

0:38:18.640 --> 0:38:21.880
<v Speaker 2>Very quickly, Bloomberg's reported that the White House is considering

0:38:21.920 --> 0:38:26.360
<v Speaker 2>you for a DOJ fraud role. What would that entail

0:38:26.600 --> 0:38:30.080
<v Speaker 2>and legally would it be possible for you to take

0:38:30.120 --> 0:38:33.000
<v Speaker 2>on that role while remaining chair of the FTC.

0:38:34.480 --> 0:38:36.880
<v Speaker 12>I can tell you definitively, I'm not leaving the Federal

0:38:36.920 --> 0:38:39.560
<v Speaker 12>Trade Commission and I'm not going to the Department of Justice.

0:38:39.760 --> 0:38:42.240
<v Speaker 12>This is an important full time job that the President

0:38:42.480 --> 0:38:45.680
<v Speaker 12>entrusted me with to try to help the American people

0:38:45.719 --> 0:38:48.040
<v Speaker 12>that just voted in their tens of millions to make

0:38:48.080 --> 0:38:49.080
<v Speaker 12>Donald Trump president.

0:38:49.400 --> 0:38:50.280
<v Speaker 9>That's what we have done.

0:38:50.400 --> 0:38:53.200
<v Speaker 12>We've sent billions of dollars of wrongfully taking money back

0:38:53.200 --> 0:38:56.280
<v Speaker 12>to Americans, and I'm focused on fighting fraud and protecting

0:38:56.320 --> 0:38:58.240
<v Speaker 12>competition right here at the FTC.

0:38:59.200 --> 0:39:02.160
<v Speaker 2>Andrew Ferguson and FTC Chairman, thank you for your time here.

0:39:02.200 --> 0:39:06.360
<v Speaker 2>On Bloomberg Tech. Okay, coming up, Jermaina Alaman of Prometeer

0:39:06.600 --> 0:39:09.800
<v Speaker 2>joins us to discuss the future of banking within AI.

0:39:10.800 --> 0:39:12.319
<v Speaker 4>That's next. This is Bloomberg Tech.

0:39:22.520 --> 0:39:26.920
<v Speaker 2>After TSMC reported huge profits in the fourth quarter, CFO

0:39:27.000 --> 0:39:30.279
<v Speaker 2>Wendel Huang sat down with Bloomberg Tech's Annibal Drawlers to

0:39:30.320 --> 0:39:34.280
<v Speaker 2>affirm his strong conviction in the mega trend of AI demand.

0:39:34.560 --> 0:39:37.240
<v Speaker 2>He first weighed in on whether the company is prioritizing

0:39:37.280 --> 0:39:39.960
<v Speaker 2>certain markets as part of his expansion plans.

0:39:39.960 --> 0:39:40.440
<v Speaker 4>Listen to this.

0:39:42.280 --> 0:39:44.720
<v Speaker 13>We don't look at it this way. It really depends

0:39:44.760 --> 0:39:48.440
<v Speaker 13>on customer demand. In the US, A lot of customer

0:39:49.320 --> 0:39:52.479
<v Speaker 13>wants to go there, so we will expand over there.

0:39:52.880 --> 0:39:56.200
<v Speaker 13>But for the leading edge technologies, it will be in

0:39:56.239 --> 0:40:03.400
<v Speaker 13>Taiwan because it's a heavy cooperation between the R and

0:40:03.480 --> 0:40:08.320
<v Speaker 13>D people and operation people for practical reasons.

0:40:07.920 --> 0:40:11.120
<v Speaker 14>And leading edge will continue to be led by Taiwan.

0:40:11.200 --> 0:40:14.160
<v Speaker 14>You think over the US market and that no changes

0:40:14.200 --> 0:40:16.200
<v Speaker 14>to that at all, even with you adding a lot

0:40:16.200 --> 0:40:17.480
<v Speaker 14>more capacity in the States.

0:40:17.719 --> 0:40:19.640
<v Speaker 7>Yeah, that's for practical reasons.

0:40:19.840 --> 0:40:22.640
<v Speaker 14>Is it possible though, to speed up how quickly that

0:40:22.719 --> 0:40:26.880
<v Speaker 14>advanced tech can be shifted from Taiwan to the States.

0:40:27.000 --> 0:40:29.680
<v Speaker 7>Yeah, we can try to do that to shorten the gap.

0:40:29.800 --> 0:40:32.279
<v Speaker 14>What does that transfer gap look like then? If right

0:40:32.280 --> 0:40:35.960
<v Speaker 14>now it's several years Taiwan is ahead, what does that

0:40:36.000 --> 0:40:37.360
<v Speaker 14>actually look like in the future.

0:40:37.600 --> 0:40:40.560
<v Speaker 13>We don't have a specific timeline now, but we do

0:40:41.040 --> 0:40:41.960
<v Speaker 13>we can try.

0:40:42.080 --> 0:40:45.400
<v Speaker 7>To accelerate that. We think we can try to accelerate.

0:40:45.480 --> 0:40:48.680
<v Speaker 14>Could it be shortened months? Do you think it will

0:40:48.719 --> 0:40:53.000
<v Speaker 14>be difficult challenging? Okay, so it stays at least one

0:40:54.239 --> 0:40:55.080
<v Speaker 14>one year behind.

0:40:55.160 --> 0:41:00.680
<v Speaker 2>Then there was tsmc CFO when Huang along Bloomberg texts

0:41:00.680 --> 0:41:03.919
<v Speaker 2>Annibal drawers president Trump's call for a ten percent cap

0:41:03.960 --> 0:41:07.160
<v Speaker 2>on credit card interest rates. Since shares of financial firms

0:41:07.160 --> 0:41:10.520
<v Speaker 2>tumbling this week, with bank CEOs in particular warning the

0:41:10.560 --> 0:41:13.480
<v Speaker 2>move could harm the economy, not just their bottom lines.

0:41:13.719 --> 0:41:17.040
<v Speaker 2>Let's talk through it with Shamena Alamann, co CEO of Promiteo,

0:41:17.120 --> 0:41:22.680
<v Speaker 2>which provides technical infrastructure to help corporations connect to financial institutions.

0:41:23.200 --> 0:41:27.600
<v Speaker 2>I find this very interesting because rate caps also may

0:41:27.600 --> 0:41:30.920
<v Speaker 2>have an impact on how unsecured credit and that's the conversation,

0:41:31.160 --> 0:41:35.680
<v Speaker 2>right is essentially engineered. It's also about access, your reaction

0:41:35.800 --> 0:41:36.720
<v Speaker 2>to the week's events.

0:41:38.120 --> 0:41:42.280
<v Speaker 15>Okay. So I think that what's most striking about these

0:41:42.320 --> 0:41:47.200
<v Speaker 15>news is somehow how it has shown the US commerce

0:41:47.200 --> 0:41:51.759
<v Speaker 15>dependency on grade guards and great guard rails. And so

0:41:52.000 --> 0:41:55.000
<v Speaker 15>we're talking about eighty percent of the population access in

0:41:55.040 --> 0:41:58.839
<v Speaker 15>grade through grade guards plus gradecard bands being one point

0:41:58.880 --> 0:42:02.320
<v Speaker 15>two trillion, which I think it's a very relevant number

0:42:02.480 --> 0:42:05.360
<v Speaker 15>because it shows its sizes the opportunity, you know, and

0:42:05.400 --> 0:42:09.440
<v Speaker 15>it's a massive opportunity. Okay, And so I think that

0:42:09.600 --> 0:42:13.520
<v Speaker 15>when we talk about a limitation like this, like a

0:42:13.640 --> 0:42:19.440
<v Speaker 15>restriction on an intervation on the rates. We are talking

0:42:19.560 --> 0:42:24.000
<v Speaker 15>about somehow reshaping the infrastructure. You know, we always tend

0:42:24.000 --> 0:42:26.960
<v Speaker 15>to think as financially infrastructure as a given, but it's

0:42:26.960 --> 0:42:29.759
<v Speaker 15>actually designed, you know. And what we're having here is

0:42:29.800 --> 0:42:34.319
<v Speaker 15>a direct intervention, and what basically forces a conversation on

0:42:34.400 --> 0:42:38.400
<v Speaker 15>the underlying infrastructure and the underlying product. And the conversation

0:42:38.520 --> 0:42:42.120
<v Speaker 15>is the question is basically what needs to happen at

0:42:42.120 --> 0:42:45.120
<v Speaker 15>the product level in order to meet this constraint, in

0:42:45.239 --> 0:42:47.960
<v Speaker 15>order to meet this new condition, you know. And so

0:42:48.040 --> 0:42:51.200
<v Speaker 15>I think that the question goes to, well, basically, what's

0:42:51.239 --> 0:42:53.600
<v Speaker 15>the design, you know, like what's the shape of the

0:42:53.719 --> 0:42:55.120
<v Speaker 15>great car system? Right now?

0:42:56.400 --> 0:42:59.640
<v Speaker 2>So this time, right, she may let me just jump in,

0:42:59.680 --> 0:43:01.400
<v Speaker 2>like this time, we're also going to wait and see

0:43:01.480 --> 0:43:05.879
<v Speaker 2>if this happens. What the behavioral reaction is. So let's

0:43:05.880 --> 0:43:07.920
<v Speaker 2>say that a section of the economy is closed to

0:43:07.960 --> 0:43:11.160
<v Speaker 2>the credit card. Well, we spoke to the Klana CEO

0:43:11.239 --> 0:43:13.360
<v Speaker 2>earlier this week, Right, there's a lot of those that

0:43:13.440 --> 0:43:17.960
<v Speaker 2>would talk up buy now, pay later, account to account payments.

0:43:18.160 --> 0:43:20.480
<v Speaker 2>Does that kind of phase out credit card reliance?

0:43:22.200 --> 0:43:25.319
<v Speaker 15>Well, I think that what will happen is that you

0:43:25.400 --> 0:43:29.080
<v Speaker 15>have a one point to trillion opportunity, you know, and

0:43:29.400 --> 0:43:32.319
<v Speaker 15>if we talk about the actual shape of the great

0:43:32.400 --> 0:43:36.000
<v Speaker 15>card system right now, it's a bundle tool. You have

0:43:36.040 --> 0:43:39.480
<v Speaker 15>a payment tool plus a credit line tool, okay, and

0:43:39.520 --> 0:43:43.440
<v Speaker 15>these tool are combined. If we see what has happened

0:43:43.520 --> 0:43:46.319
<v Speaker 15>in the payment space over the last ten years is

0:43:46.480 --> 0:43:51.160
<v Speaker 15>massive disruption, which is basically New Entrance leveraging technology to

0:43:51.280 --> 0:43:56.200
<v Speaker 15>provide better and most efficient solutions, more cost effective solutions.

0:43:56.239 --> 0:43:56.520
<v Speaker 7>Okay.

0:43:56.640 --> 0:43:59.360
<v Speaker 15>And I think that that gives us a glimpse, you know,

0:43:59.480 --> 0:44:03.440
<v Speaker 15>like a on what would happen at the credit line

0:44:03.600 --> 0:44:07.440
<v Speaker 15>infrastructure level, you know, like we could expect a movement

0:44:07.600 --> 0:44:12.240
<v Speaker 15>like that, and that means New Entrance very interested seeing

0:44:12.280 --> 0:44:15.640
<v Speaker 15>the size of the opportunity jumping into the space, leveraging

0:44:15.680 --> 0:44:19.000
<v Speaker 15>new technology in order to meet the requirements of this

0:44:19.080 --> 0:44:21.839
<v Speaker 15>demand because the demand won't go anywhere, you know, and

0:44:21.880 --> 0:44:22.920
<v Speaker 15>it's a huge demand.

0:44:24.280 --> 0:44:26.440
<v Speaker 2>Samana, It was a big week for bank earnings where

0:44:26.480 --> 0:44:28.759
<v Speaker 2>we hope to find out about how banks are using

0:44:28.800 --> 0:44:31.640
<v Speaker 2>AI in real terms. A lot of questions to JP

0:44:31.760 --> 0:44:34.799
<v Speaker 2>Morgan about how much they're spending on AI. But what

0:44:34.960 --> 0:44:38.719
<v Speaker 2>was your takeaway on the transition how we go from

0:44:38.719 --> 0:44:42.360
<v Speaker 2>like analysis to the banks running function using AI.

0:44:43.560 --> 0:44:46.880
<v Speaker 15>Okay, Well, I think that twenty twenty five marks the

0:44:46.960 --> 0:44:52.080
<v Speaker 15>year in which AI moved from being an experimentation to

0:44:52.200 --> 0:44:55.800
<v Speaker 15>full deployment, you know, And I think that's very interesting.

0:44:56.719 --> 0:45:00.200
<v Speaker 15>Perhaps the most popular initiative was open Ai since and

0:45:00.280 --> 0:45:04.600
<v Speaker 15>checkout powered by Stripe. Definitely we will see more of that,

0:45:05.280 --> 0:45:10.759
<v Speaker 15>especially in the financial institutions banks landscape over this year,

0:45:10.920 --> 0:45:14.719
<v Speaker 15>you know. And I think that that will bring a

0:45:14.760 --> 0:45:17.160
<v Speaker 15>lot of innovation and a lot of news over the

0:45:17.280 --> 0:45:21.520
<v Speaker 15>coming year. I think that what we've seen over twenty

0:45:21.600 --> 0:45:26.960
<v Speaker 15>twenty five is AI becoming an efficiency lever and not

0:45:27.040 --> 0:45:31.640
<v Speaker 15>an innovation toy anymore, you know. And so what financial

0:45:31.680 --> 0:45:37.120
<v Speaker 15>institutions banks have done is use AI internally. Initially it

0:45:37.280 --> 0:45:42.799
<v Speaker 15>was mostly chatbots, small projects. But what we've done, what

0:45:42.880 --> 0:45:47.560
<v Speaker 15>they have noticed is that basically AI can impact the

0:45:47.760 --> 0:45:52.480
<v Speaker 15>main areas of the financial institution, and especially four banks

0:45:52.480 --> 0:45:56.319
<v Speaker 15>that have been historically very site have had stortally a

0:45:56.400 --> 0:45:58.960
<v Speaker 15>very siloed tech stack, you know, with different parts of

0:45:58.960 --> 0:46:04.040
<v Speaker 15>the bank having different databases, different technologies, different systems.

0:46:04.600 --> 0:46:07.399
<v Speaker 4>AI helps all of these to.

0:46:07.400 --> 0:46:11.040
<v Speaker 15>Come together, you know, and work as a comprehensive tech stack,

0:46:11.200 --> 0:46:14.239
<v Speaker 15>you know. And so now we are seeing initiatives in

0:46:14.760 --> 0:46:19.160
<v Speaker 15>fraud and credit of course, in middle and back office,

0:46:19.239 --> 0:46:23.520
<v Speaker 15>you know, and creating efficiencies in speed okay, and this

0:46:23.719 --> 0:46:27.759
<v Speaker 15>is real time responses to anything that an user can need.

0:46:28.680 --> 0:46:32.440
<v Speaker 2>Samana Adaman, co founder Coco Prevateere, great summary of the

0:46:32.480 --> 0:46:34.520
<v Speaker 2>banks in an AI. Thank you very much. That does

0:46:34.560 --> 0:46:36.959
<v Speaker 2>it for the edition of Bloomberg Tech. What a week

0:46:37.000 --> 0:46:40.000
<v Speaker 2>it's been. Recap on the pod. You know exactly where

0:46:40.040 --> 0:46:42.880
<v Speaker 2>to find it. Have a great weekend. This is bloombag

0:46:42.920 --> 0:46:43.160
<v Speaker 2>Tech