WEBVTT - AI Dividend Proposal Roils Korean Market

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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 Hide in New York

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<v Speaker 1>and Eva Low in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. Big swings in Korean

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<v Speaker 2>stocks after a South Korean policy maker suggests paying citizens

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<v Speaker 2>at dividend using taxes on AI profits.

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<v Speaker 3>Past The largest US derivatives exchange CME is planning to

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<v Speaker 3>create a futures market for computing power, one of the

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<v Speaker 3>key drivers of the AI.

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<v Speaker 2>Boom, and SAP pushes further into AI agents across business

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<v Speaker 2>operations with its new Autonomous Enterprise platform.

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<v Speaker 4>We'll discussed with the CEO.

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<v Speaker 3>First we check in on these markets, which well, maybe

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<v Speaker 3>for once we get a shakeout of what has been

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<v Speaker 3>a relentless grind hire in the tech industry and most

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<v Speaker 3>notably some of the chip stocks which today are the

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<v Speaker 3>biggest foolers having been of course the crescendo effect in

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<v Speaker 3>the NASDAK we're not by one point four percent. It's

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<v Speaker 3>the biggest drop we've seen since late March ed and

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<v Speaker 3>all of this is as we still have anxiety about

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<v Speaker 3>to your politics and that is feeding through to inflationary trashures.

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<v Speaker 4>More broadly, take a look at this chart.

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<v Speaker 2>Korean stocks took a dive on Tuesday following a Facebook

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<v Speaker 2>post by a South Korean policy maker saying the nation

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<v Speaker 2>should pay citizens a quote dividend using taxes on AI profits.

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<v Speaker 2>The benchmark hosspy sank as much as five percent, then

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<v Speaker 2>paired losses when the Korean government later said that was

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<v Speaker 2>his personal opinion.

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<v Speaker 4>South Korean shares of.

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<v Speaker 2>Samsung's and s k heinez recoup some of their losses,

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<v Speaker 2>but still closed down around five percent. Let's get more

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<v Speaker 2>with Bloomberg's executive editor for Global Tech, Peter Elstrove. It's

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<v Speaker 2>the kind of story you wake up, you see at

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<v Speaker 2>number one on the Bloomberg terminal, and you're not really surprised,

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<v Speaker 2>but you do a double take and you go a

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<v Speaker 2>Facebook post that sank an entire market.

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<v Speaker 4>Who is this policy maker and what do we need

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<v Speaker 4>to know? Yeah, it is a.

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<v Speaker 5>Bit of a surprise, and there are surprising dynamics behind

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<v Speaker 5>this post. So, as you mentioned, this advisor Kim Engbung

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<v Speaker 5>posted on Facebook about this idea of an AI dividend

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<v Speaker 5>really a citizen's dividend because of the AI profits. Again,

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<v Speaker 5>it was posted on Facebook. It's not official policy. The

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<v Speaker 5>President's office was quick to come out and say that

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<v Speaker 5>it's his personal opinion. But it's a twenty five hundred

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<v Speaker 5>word post. It's very in depth. It's actually quite philosophical.

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<v Speaker 5>He talks about the evolution of the Korean economy, what

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<v Speaker 5>it means for the people, what it means for citizens,

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<v Speaker 5>how they're going to be challenges, but they're going to

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<v Speaker 5>be opportunities too, and then he homes in out in

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<v Speaker 5>this idea that perhaps there should be a dividend to

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<v Speaker 5>rebuild the social foundation of the country as they go

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<v Speaker 5>into this new era. So he's not talking about new

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<v Speaker 5>taxes on these companies, just to be clear, on the

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<v Speaker 5>key companies like Samsung and sk Heinix, he's just talking

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<v Speaker 5>about how the country is going to benefit from their

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<v Speaker 5>profits and what the country should do with those profits.

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<v Speaker 5>And the profits are pretty staff just to be clear,

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<v Speaker 5>Samsung is on track to make something like two hundred

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<v Speaker 5>and twenty billion dollars this year. Sk Heinix won't be

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<v Speaker 5>far behind. So you're talking about four hundred billion dollars

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<v Speaker 5>in profits from just two companies. Of course, it's not

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<v Speaker 5>as much as you would get in the US, but

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<v Speaker 5>it's much more concentrated in Korea, so the contribution to

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<v Speaker 5>the Korean budget is going to be much more substantial.

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<v Speaker 5>They're going to have this windfall, and so he's talking

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<v Speaker 5>about what they should do with it.

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<v Speaker 3>He's clicking in on a hot button topic, whether it

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<v Speaker 3>be here in the United States, where Open Ai has

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<v Speaker 3>been essentially suggesting ways in which there could be some

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<v Speaker 3>sort of wealth fund created to distribute the wealth created

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<v Speaker 3>by AI more broadly. But also there's potential labor issues,

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<v Speaker 3>particularly for Samsung.

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<v Speaker 6>Sk heinis has.

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<v Speaker 3>Been promising profits towards its engineers and workers, but Samsung

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<v Speaker 3>is facing a potential strike.

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<v Speaker 5>Yeah, it's a really important point. This is not just

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<v Speaker 5>a Korea issue. This is really a global issue. Governments

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<v Speaker 5>around the world. They're trying to figure out, what are

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<v Speaker 5>we going to do if there is this big, big

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<v Speaker 5>AI boom as we've seen so far, what are you

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<v Speaker 5>going to do with all those profits? What are you

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<v Speaker 5>going to do with that new wealthy You've had the

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<v Speaker 5>billionaire's tax proposed of course in California too. Now Samsung

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<v Speaker 5>and eske Heinix have been wrestling with this issue. As

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<v Speaker 5>you mentioned, Samsung right now is in negotiations with its

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<v Speaker 5>labor union, which is threatened to strike because they want

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<v Speaker 5>to bigger share those profits too. Again, this is not

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<v Speaker 5>a new tax on these companies though, if they proceed

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<v Speaker 5>with this dividend. As we've talked about, it's more a

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<v Speaker 5>sense of what the Korean government can do to prepare.

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<v Speaker 5>And the big message from Kim in this whole discussion

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<v Speaker 5>is that his government in Korea and then governments around

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<v Speaker 5>the world, need to be more proactive and thinking about

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<v Speaker 5>how they're going to navigate this much more complex world

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<v Speaker 5>with AI as it begins to change the economy, begins

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<v Speaker 5>to change the workplace and employment too.

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<v Speaker 3>Philosophical indeed, blom bags Peter Alstrom, thanks for running us

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<v Speaker 3>through it. Look Staying in Asia, President Trump is poised

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<v Speaker 3>to travel to China to meet with President Shijinping later

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<v Speaker 3>this week now, a number of top tech executives are

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<v Speaker 3>expected to join the trip.

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<v Speaker 6>As we told you yesterday, the.

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<v Speaker 3>Likes of Tim Kok, the likes of tests Evil Musk

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<v Speaker 3>notably absent in Vidio CEO Jensen Wang, who was reportedly

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<v Speaker 3>not even invited here with Moris Bloomberg's Chip and AI

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<v Speaker 3>reporter Maggi Easton say is that the case that the

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<v Speaker 3>invite wasn't extended to Jensen who seems so close to

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<v Speaker 3>the president.

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<v Speaker 7>Yes, exactly, that's what we're reporting here. In Vidia's chief

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<v Speaker 7>executive officer, the leader of America's most valuable company, did

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<v Speaker 7>not get the invite to come to China, even though

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<v Speaker 7>he has a lot at stake in China, and Jiwang

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<v Speaker 7>is continuing to push for some sort of AI chip

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<v Speaker 7>sale there, though. This seems to be a signal that

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<v Speaker 7>he's not going to get Blackwell sales in China anytime soon,

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<v Speaker 7>at least from the US permission side.

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<v Speaker 2>It's interesting you're writing about this in your Tech in

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<v Speaker 2>Depth today right that the President's priorities and Jensen Wang's

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<v Speaker 2>priorities right now they might not be as aligned as

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<v Speaker 2>they have been in recent months. Just take us into

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<v Speaker 2>your Tech in Debt.

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<v Speaker 7>Absolutely, so, there's really a stark contrast here. If you

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<v Speaker 7>look at the last time President Trump met with President

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<v Speaker 7>she in Korea last October, Blackwells were top of mind.

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<v Speaker 7>You know, President Trump was telling reporters that he was

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<v Speaker 7>going to talk.

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<v Speaker 6>To She about those chips.

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<v Speaker 7>At the same time, in video was lobbying for potentially

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<v Speaker 7>selling those high powered processors to China. So now we're

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<v Speaker 7>seeing sort of a reversal in Trump's priorities.

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<v Speaker 6>The issue of AI chips has.

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<v Speaker 7>Been deliberated, and it was decided that, you know, the

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<v Speaker 7>US would allow in Video to sell its H two

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<v Speaker 7>hundred processor, which is less powerful than the Blackwell. And

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<v Speaker 7>it seems to be that that's sort of where the

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<v Speaker 7>line stands, and the latest signal of that is, of

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<v Speaker 7>course Jensen not joining for this China trip.

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<v Speaker 3>It's interesting that maybe more on the focus from the

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<v Speaker 3>Chinese leadership perspective is Taiwan, and there in line is

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<v Speaker 3>the whole issue of supply chain and a desire to

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<v Speaker 3>make America stand alone a little bit more in its

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<v Speaker 3>own ability to fabricate these chips. Margie, who do you

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<v Speaker 3>think is going to be centered around conversation?

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<v Speaker 6>And when it comes to.

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<v Speaker 3>Jensen, is it a big loss because the market is

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<v Speaker 3>down what eight ten percent on his name today?

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<v Speaker 7>Well, look, it's certainly not the boost that the idea

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<v Speaker 7>that AI chips could be on the table and Blackwells

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<v Speaker 7>could be on the table was last October. I mean

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<v Speaker 7>that's sent in Video's you know market cap above five

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<v Speaker 7>trillion dollars. So we're not seeing that same enthusiasm, and

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<v Speaker 7>even for something like the H two hundreds, it's unclear

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<v Speaker 7>if in video will ever be able to you know,

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<v Speaker 7>tally up sales from selling those to China. China could

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<v Speaker 7>still reject those. You know, it's possible that comes up

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<v Speaker 7>in this meeting, though the focus is probably going to

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<v Speaker 7>be bigger geopolitical issues, especially the warn Iran, and so

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<v Speaker 7>it seems since AI chips are just not a focus

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<v Speaker 7>in videos, definitely not going to get a boost from

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<v Speaker 7>this meeting, and you know, they might even see some declines.

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<v Speaker 6>As you're pointing.

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<v Speaker 2>Out Lin Beg's Maggie Eastland, thank you very much. The

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<v Speaker 2>melt up in chip SUNDAYI infrastructure stocks is hitting a

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<v Speaker 2>pause today. I'm looking at the Philadelphia Semiconductor Index. It's

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<v Speaker 2>up behind forty percent over the last twelve months through

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<v Speaker 2>yesterday's close, up seventy percent year to date, but today,

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<v Speaker 2>in the moment, we're on track for our biggest drop

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<v Speaker 2>since that last week of March. Is probably worth pointing

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<v Speaker 2>out as well that CPI inflation accelerating in April, coming

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<v Speaker 2>in three point eight percent year on year. That has

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<v Speaker 2>had big impact on the markets of the moment. Let's

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<v Speaker 2>get more with Kim Forrest, CEO Boca Capital Partners. I

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<v Speaker 2>was talking with the equities desk this morning at Bloomberg

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<v Speaker 2>News about a lot of these names that are really

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<v Speaker 2>lower today, taking a pause, Intel, Micron, Intel particular, they

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<v Speaker 2>were kind of primed for a bit of a pullback, right.

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<v Speaker 4>Is that it is that.

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<v Speaker 2>Just timing in the moment, or is it this CPI

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<v Speaker 2>print we got this morning.

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<v Speaker 8>I think the CPI print is completely disregarded by the

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<v Speaker 8>Chip Nation and AI because they don't care. They just

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<v Speaker 8>simply don't care what cast things are, or I guess

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<v Speaker 8>overall they don't care. God knows that. You know, AMD

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<v Speaker 8>is probably making some gains because they have a somewhat

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<v Speaker 8>lower price GPU than in Nvidia, and it's capable, so

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<v Speaker 8>you know, cost is relative. But yes, I don't think

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<v Speaker 8>CPI has anything to do with today's tech selloff. I

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<v Speaker 8>think it has more to do with just look at

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<v Speaker 8>the gains for the year, and sometimes you just run

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<v Speaker 8>out of buyers, even momentum buyers can't continue. So it's

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<v Speaker 8>probably that as well as what happened in South Korea. Again,

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<v Speaker 8>buyers want to buy companies that are going up and

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<v Speaker 8>perhaps yesterday's sell off of those memory names was enough

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<v Speaker 8>to cool the temperature of buying chip stocks today.

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<v Speaker 3>It's interesting to talk about momentum, and we've been hearing

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<v Speaker 3>from some of the biggest leaders on Wall Street just

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<v Speaker 3>today about whether AI is real, what the investment opportunities are,

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<v Speaker 3>who wins, who lose?

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<v Speaker 6>Just take a listen to Jamie Diamond a little bit earlier.

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<v Speaker 9>Kim, The way I look at it is that AI

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<v Speaker 9>is re all. A lot of money's going to go

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<v Speaker 9>into it. It doesn't mean everyone does it is going

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<v Speaker 9>to be a winner. Like go back to the Internet.

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<v Speaker 9>A lot of people lost, a lot of people won.

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<v Speaker 9>And so you know in the hyper skills those data centers.

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<v Speaker 4>Not find use.

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<v Speaker 9>They probably will, But is it possible some do it badly,

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<v Speaker 9>design it badly, didn't get the right Yes, of course

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<v Speaker 9>it's possible, Kim.

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<v Speaker 3>You've that on invested in the right names, some that

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<v Speaker 3>have done incredibly well through momentum otherwise recently, But are

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<v Speaker 3>too many ramping higher at this moment?

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<v Speaker 6>Will we start to see more discernment?

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<v Speaker 8>I hope so it Actually we've seen some discernment with

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<v Speaker 8>Intel coming back from you know, it was not only

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<v Speaker 8>dead and buried, but it had the.

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<v Speaker 4>Grass grew over.

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<v Speaker 8>It's great, right, I mean, it was gone, and yet

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<v Speaker 8>here we are, and why are we here? I think

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<v Speaker 8>it's the forward movement of AI development. And whenever AI

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<v Speaker 8>came on the scene and chat GPT captured everyone's imagination

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<v Speaker 8>both in Nvidia and open AI seemed to be like

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<v Speaker 8>the winners, and everybody else was just going to languish. Well,

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<v Speaker 8>technology rollouts don't really work that way. And I think

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<v Speaker 8>we're probably in I've been watching a lot of baseball

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<v Speaker 8>because the Pittsburgh Pirates are actually tolerable to watch this

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<v Speaker 8>year so far, and we're probably in the bottom of

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<v Speaker 8>the second inning in AIM, so we have a lot

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<v Speaker 8>of road to go ahead of us.

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<v Speaker 2>The big calendar item this week probably is President Trump's

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<v Speaker 2>visit to China meeting with President President g and also

0:11:43.400 --> 0:11:47.880
<v Speaker 2>the delegation of top CEOs, all relevant to to the

0:11:47.920 --> 0:11:51.480
<v Speaker 2>fields that you've outlined. What's at stake here for the

0:11:51.480 --> 0:11:55.920
<v Speaker 2>technology investor and for markets this week.

0:11:55.400 --> 0:11:58.920
<v Speaker 8>Well, the US and China are walking a really really

0:11:59.040 --> 0:12:04.800
<v Speaker 8>narrow line between each other. Where AI is considered is

0:12:05.200 --> 0:12:10.120
<v Speaker 8>you know, the topic for a long time America has

0:12:10.200 --> 0:12:13.920
<v Speaker 8>been winning. But I think it feels like decades ago

0:12:14.240 --> 0:12:17.000
<v Speaker 8>whenever Deep Seek came out. Maybe it was the beginning

0:12:17.240 --> 0:12:20.800
<v Speaker 8>of twenty twenty five. You know, the shiver went through

0:12:21.000 --> 0:12:24.080
<v Speaker 8>the AI community going, oh my gosh, China might have

0:12:24.200 --> 0:12:30.000
<v Speaker 8>something here. And while we want competition, it's the military

0:12:30.120 --> 0:12:33.120
<v Speaker 8>uses of AI and the military uses of the chips

0:12:33.120 --> 0:12:36.280
<v Speaker 8>that were very cognizant of. And I think that's why,

0:12:37.200 --> 0:12:40.240
<v Speaker 8>you know, Jensen Wong didn't get the invite. They don't

0:12:40.280 --> 0:12:43.319
<v Speaker 8>really want to discuss that at this point, so don't

0:12:43.360 --> 0:12:46.439
<v Speaker 8>invite them, don't have the conversation about it. But yes,

0:12:46.559 --> 0:12:51.080
<v Speaker 8>AI is very much a contention between the US and China,

0:12:51.240 --> 0:12:54.360
<v Speaker 8>and I know that the US is you know, US

0:12:54.480 --> 0:12:57.040
<v Speaker 8>first would like to develop it and sell it to

0:12:57.080 --> 0:12:59.280
<v Speaker 8>the rest of the world, but so would China. So

0:12:59.760 --> 0:13:02.160
<v Speaker 8>there's going to be tension over the world of AI.

0:13:02.920 --> 0:13:05.640
<v Speaker 3>Kim Forest Cio of Boca Capital Partners, it's always great

0:13:05.640 --> 0:13:07.920
<v Speaker 3>to check in with you. Thanks the expertise. Now coming

0:13:08.000 --> 0:13:10.840
<v Speaker 3>up the largest US de riveters exchange. That's the CME.

0:13:11.160 --> 0:13:15.600
<v Speaker 3>It's planning to create a futures market for computing power details.

0:13:15.600 --> 0:13:16.840
<v Speaker 6>Next, this is Bloomberg Tech.

0:13:23.360 --> 0:13:28.200
<v Speaker 10>The United States is short power for short compute we're

0:13:28.200 --> 0:13:31.360
<v Speaker 10>short chipped. Is there going to be shortages at all?

0:13:31.400 --> 0:13:37.080
<v Speaker 10>Three and memory for things. I actually believe a new

0:13:37.120 --> 0:13:41.040
<v Speaker 10>acid class will be buying futures of compute. We just

0:13:41.080 --> 0:13:43.760
<v Speaker 10>don't have enough compute power right now.

0:13:44.800 --> 0:13:47.440
<v Speaker 3>That was black Rock CEO Larry Fink a week ago

0:13:47.480 --> 0:13:48.320
<v Speaker 3>at Milken.

0:13:48.160 --> 0:13:50.079
<v Speaker 6>For telling what is big news out today.

0:13:50.160 --> 0:13:53.000
<v Speaker 3>CME and Silicon Data are teaming up to create a

0:13:53.000 --> 0:13:55.840
<v Speaker 3>futures market for computing power, one of the pillars of

0:13:55.840 --> 0:13:56.400
<v Speaker 3>the AI boom.

0:13:56.400 --> 0:13:58.960
<v Speaker 6>Bloomberg's finance for portech. Adam Doherty has actually.

0:13:58.640 --> 0:14:01.360
<v Speaker 3>Been following what's the condage has been doing around this

0:14:01.360 --> 0:14:03.520
<v Speaker 3>for a while, and now the CME brings it because,

0:14:03.640 --> 0:14:06.800
<v Speaker 3>according to Terry Duffy at the CME computes the new oil.

0:14:07.000 --> 0:14:09.920
<v Speaker 11>That's right, it's just another commodity that is going to

0:14:09.920 --> 0:14:13.600
<v Speaker 11>be able to not just be traded, tracked versus That's

0:14:13.720 --> 0:14:16.400
<v Speaker 11>really what was the first pillar was the index that

0:14:16.480 --> 0:14:20.800
<v Speaker 11>was created Silicon Data bringing that too investors so they

0:14:20.840 --> 0:14:24.160
<v Speaker 11>could at least start to have more transparency around putting

0:14:24.200 --> 0:14:28.480
<v Speaker 11>a number to what people were valuing as the price

0:14:29.000 --> 0:14:33.320
<v Speaker 11>of compute technology. And now we have the ability to hedge,

0:14:33.600 --> 0:14:37.400
<v Speaker 11>to hedge against price moves and some of the risks

0:14:37.440 --> 0:14:41.600
<v Speaker 11>that are out there, as it would you tracking oil

0:14:41.800 --> 0:14:44.720
<v Speaker 11>or other commodity prices. This is really bringing this into

0:14:44.720 --> 0:14:47.560
<v Speaker 11>the institutional space, and you're going to have both the

0:14:47.600 --> 0:14:51.120
<v Speaker 11>tech firms and investors that are going to jump into

0:14:51.160 --> 0:14:53.480
<v Speaker 11>this and build the market and grow it so that

0:14:53.520 --> 0:14:55.560
<v Speaker 11>it has the actual liquidity to back it.

0:14:56.400 --> 0:14:58.480
<v Speaker 2>Kata and I go even more basic than that. You know,

0:14:58.560 --> 0:15:02.880
<v Speaker 2>futures contracts an agreement to buy or sell something at

0:15:02.920 --> 0:15:05.600
<v Speaker 2>a later date at a fixed price, So you're either

0:15:05.760 --> 0:15:08.600
<v Speaker 2>locking in that cost or you're betting in a price

0:15:08.720 --> 0:15:12.080
<v Speaker 2>change in either direction. But like with compute, like I

0:15:12.120 --> 0:15:16.120
<v Speaker 2>think we're talking about GPUs or GPU hours something like that.

0:15:16.200 --> 0:15:18.200
<v Speaker 2>You know, have they worked out how this would work

0:15:18.400 --> 0:15:20.160
<v Speaker 2>in the real world, that's.

0:15:20.040 --> 0:15:23.840
<v Speaker 11>Right, So the index is where you're getting into that

0:15:23.880 --> 0:15:28.040
<v Speaker 11>detail about GPUs and the processing power. That was kind

0:15:28.080 --> 0:15:31.960
<v Speaker 11>of the first step. Now with the futures contracts, as

0:15:32.280 --> 0:15:35.800
<v Speaker 11>you are pointing out, this is the ability to hedge

0:15:35.840 --> 0:15:41.080
<v Speaker 11>for future moves, putting a price to or really the

0:15:41.560 --> 0:15:45.240
<v Speaker 11>bet of where these contracts are going to be traded

0:15:45.320 --> 0:15:45.960
<v Speaker 11>in the future.

0:15:46.520 --> 0:15:47.960
<v Speaker 6>So it's both looking at.

0:15:47.800 --> 0:15:52.920
<v Speaker 11>Where is the price of these GPU processing power trading

0:15:53.000 --> 0:15:56.440
<v Speaker 11>today and where do we see it in a few weeks,

0:15:56.680 --> 0:15:59.800
<v Speaker 11>months and as it builds out it's really going to be.

0:16:00.760 --> 0:16:03.440
<v Speaker 11>It has to develop, and I think that it's something

0:16:03.480 --> 0:16:08.320
<v Speaker 11>that also needs the blessing of regulators. But the intent

0:16:08.520 --> 0:16:11.440
<v Speaker 11>is to be able to put a price on not

0:16:11.600 --> 0:16:15.240
<v Speaker 11>just where this power is trading at the very moment,

0:16:15.480 --> 0:16:16.440
<v Speaker 11>but in the future.

0:16:17.000 --> 0:16:20.520
<v Speaker 3>Silicon Data commonly who's the founder of all this previously

0:16:20.520 --> 0:16:24.480
<v Speaker 3>a trader, was her idea to bring transparency to those

0:16:24.480 --> 0:16:26.440
<v Speaker 3>who were going and trying to buy compute and just

0:16:26.560 --> 0:16:28.920
<v Speaker 3>understand what one offering was like to another. Or she

0:16:29.040 --> 0:16:31.560
<v Speaker 3>really thinking that this could become a fully fledged asset

0:16:31.560 --> 0:16:33.520
<v Speaker 3>class that the retail investors want to get in it,

0:16:33.520 --> 0:16:35.480
<v Speaker 3>and more broadly, we want to sort of build up

0:16:35.480 --> 0:16:36.760
<v Speaker 3>an ecosystem.

0:16:36.200 --> 0:16:38.440
<v Speaker 11>Around I do think it was all about the ecosystem.

0:16:38.680 --> 0:16:42.200
<v Speaker 11>What Silicon Data and what Carmen was building from the

0:16:42.320 --> 0:16:45.480
<v Speaker 11>very start was again one pillar to something that was

0:16:45.560 --> 0:16:49.400
<v Speaker 11>much larger. And when we talk about transparency, before today,

0:16:50.000 --> 0:16:53.880
<v Speaker 11>there really wasn't a big player like CME that was

0:16:53.920 --> 0:16:58.000
<v Speaker 11>able to bring compute as an asset class to the

0:16:58.000 --> 0:17:03.040
<v Speaker 11>market in this way. As a derivatives exchange, they already

0:17:03.120 --> 0:17:05.959
<v Speaker 11>have the traders and so You might not have just

0:17:06.440 --> 0:17:12.119
<v Speaker 11>the tech firms and the AI providers, the superscalers that

0:17:12.200 --> 0:17:14.920
<v Speaker 11>are going to be using this to hedge their own costs,

0:17:15.119 --> 0:17:19.159
<v Speaker 11>but you're bringing an entire new institutional base that is

0:17:19.160 --> 0:17:21.840
<v Speaker 11>going to look at this asset class in the same

0:17:21.880 --> 0:17:24.760
<v Speaker 11>way that they would oil, metals and other things that

0:17:24.760 --> 0:17:26.600
<v Speaker 11>they trade. So it's going to be kind of a

0:17:26.640 --> 0:17:29.840
<v Speaker 11>mix of many different worlds that is going to build

0:17:30.000 --> 0:17:31.600
<v Speaker 11>this ecosystem, this new market.

0:17:32.600 --> 0:17:35.000
<v Speaker 2>That was my next question really is like put CME

0:17:35.119 --> 0:17:37.840
<v Speaker 2>in the context of the broader derivatives markets. A next

0:17:37.840 --> 0:17:40.840
<v Speaker 2>step would be, I guess other players would make similar

0:17:40.840 --> 0:17:44.680
<v Speaker 2>proposals for futures contracts on computes in other jurisdictions.

0:17:44.960 --> 0:17:49.000
<v Speaker 11>Yes, you already have seen some exchanges, some upstarts, but

0:17:49.320 --> 0:17:52.240
<v Speaker 11>no one to the size of CME, which is the

0:17:52.320 --> 0:17:56.520
<v Speaker 11>largest US derivatives exchange, come into this space. It's very

0:17:56.560 --> 0:18:00.960
<v Speaker 11>likely that we'll see other large exchange operators will jump

0:18:01.000 --> 0:18:03.960
<v Speaker 11>into this and build their own marketplace, because it's all

0:18:04.000 --> 0:18:07.320
<v Speaker 11>about the more liquidity, the more trading, and the more

0:18:07.400 --> 0:18:09.359
<v Speaker 11>interest that you can build, the better it is for

0:18:09.440 --> 0:18:11.159
<v Speaker 11>the market as a whole. It doesn't need to be

0:18:11.320 --> 0:18:13.200
<v Speaker 11>just one exchange.

0:18:13.359 --> 0:18:16.159
<v Speaker 2>Bloombo's Karen Doherty on a big breaking news story this morning,

0:18:16.200 --> 0:18:19.440
<v Speaker 2>Thank you very much. Sam Altman is expected to take

0:18:19.440 --> 0:18:21.960
<v Speaker 2>the stand today in the closely watched trial over the

0:18:22.040 --> 0:18:25.960
<v Speaker 2>charitable status of open Ai. Elon Musk has accused the

0:18:26.000 --> 0:18:29.720
<v Speaker 2>startup and his fellow co founders and Microsoft of betraying

0:18:29.800 --> 0:18:33.520
<v Speaker 2>open AI's founding mission for their own benefit. Yesterday, we

0:18:33.680 --> 0:18:37.360
<v Speaker 2>learn more about the financial gains during testimony from Microsoft

0:18:37.359 --> 0:18:40.600
<v Speaker 2>CEO Sati and Nadella and open AI's former chief scientist

0:18:40.760 --> 0:18:44.800
<v Speaker 2>Ilia Sutzkiva. Bloomberg's Madeline Meckelberg is covering the case and

0:18:44.800 --> 0:18:48.119
<v Speaker 2>has been there every single day. Let's start with the

0:18:48.440 --> 0:18:50.959
<v Speaker 2>what's to come, Sam Altman. You know this is the

0:18:51.119 --> 0:18:54.320
<v Speaker 2>testimony probably that the world's waiting for.

0:18:54.600 --> 0:18:56.000
<v Speaker 4>What do we know at this stage?

0:18:57.840 --> 0:18:58.280
<v Speaker 10>That's right.

0:18:58.320 --> 0:19:01.479
<v Speaker 12>This is definitely the high profile witness that we've been

0:19:01.520 --> 0:19:03.879
<v Speaker 12>waiting to hear from. We've heard from at this point

0:19:03.920 --> 0:19:07.359
<v Speaker 12>all of the other major players in this open Ai

0:19:07.680 --> 0:19:11.400
<v Speaker 12>battle with Elon Musk, that includes Elon Musk, Greg Brockman,

0:19:11.760 --> 0:19:15.720
<v Speaker 12>Ilias Setskov, Sati, Nadella. As you said, and so we

0:19:15.760 --> 0:19:18.359
<v Speaker 12>don't know much about Altman. We don't even know what

0:19:18.480 --> 0:19:20.919
<v Speaker 12>time we're expecting him to take the stand today, but

0:19:21.000 --> 0:19:23.760
<v Speaker 12>there's just a few days left at trial, and he

0:19:23.800 --> 0:19:25.919
<v Speaker 12>really has a lot of questions that he's going to

0:19:25.920 --> 0:19:28.640
<v Speaker 12>have to answer for before the jury. I think we're

0:19:28.640 --> 0:19:30.320
<v Speaker 12>going to hear him grilled on a lot of the

0:19:30.359 --> 0:19:34.040
<v Speaker 12>subjects that we've covered already at trial, mainly about his

0:19:34.200 --> 0:19:38.359
<v Speaker 12>relationship with Elon Musk, but also chiefly about his ouster.

0:19:38.600 --> 0:19:41.159
<v Speaker 12>That's something that Musk's legal team has been making a

0:19:41.160 --> 0:19:43.680
<v Speaker 12>really big issue of. This is back in the twenty

0:19:43.720 --> 0:19:47.120
<v Speaker 12>twenty two twenty twenty three time period, and they're going

0:19:47.160 --> 0:19:49.880
<v Speaker 12>through a lot of concerns that employees voiced at that time,

0:19:50.040 --> 0:19:52.160
<v Speaker 12>or members of the board rather voiced at that time

0:19:52.560 --> 0:19:55.159
<v Speaker 12>about his leadership style. So I think this is going

0:19:55.200 --> 0:19:57.600
<v Speaker 12>to be an opportunity for him to kind of respond

0:19:57.680 --> 0:20:00.520
<v Speaker 12>to a lot of the allegations and the description that we've

0:20:00.560 --> 0:20:03.119
<v Speaker 12>heard so far and tell his side of the story,

0:20:03.119 --> 0:20:05.440
<v Speaker 12>which is an essential one in this case.

0:20:05.480 --> 0:20:08.280
<v Speaker 3>And the essential element of the story is well to

0:20:08.320 --> 0:20:12.240
<v Speaker 3>convince that it wasn't just out of greed that they were.

0:20:12.119 --> 0:20:13.760
<v Speaker 6>Turning into a for profit business.

0:20:13.760 --> 0:20:17.000
<v Speaker 3>What is it that through Sam's leadership style that they're

0:20:17.040 --> 0:20:18.720
<v Speaker 3>looking to prove one way or other.

0:20:20.160 --> 0:20:20.680
<v Speaker 4>That's right.

0:20:20.800 --> 0:20:23.880
<v Speaker 12>So that's the central argument from Musk here, is that

0:20:23.960 --> 0:20:26.920
<v Speaker 12>they've betrayed the founding mission in an effort to try

0:20:26.960 --> 0:20:30.040
<v Speaker 12>to enrich themselves. That's why we've heard so much about

0:20:30.240 --> 0:20:32.920
<v Speaker 12>how much stake some of these leaders have in open AI,

0:20:33.320 --> 0:20:36.080
<v Speaker 12>how much money was being thrown around and made here

0:20:36.200 --> 0:20:38.919
<v Speaker 12>since they've made this conversion to a for profit. I

0:20:38.960 --> 0:20:41.320
<v Speaker 12>know your viewers know that the value of open ai

0:20:41.440 --> 0:20:45.280
<v Speaker 12>has skyrocketed, especially in recent years, and so all these

0:20:45.320 --> 0:20:47.600
<v Speaker 12>folks who had equity in the very early days of

0:20:47.640 --> 0:20:50.960
<v Speaker 12>making it a for profit have made significant return since then.

0:20:51.000 --> 0:20:54.000
<v Speaker 12>Their steak has grown so much. And so I think

0:20:54.200 --> 0:20:56.480
<v Speaker 12>what we've seen from Musk lawyers is an attempt to

0:20:56.520 --> 0:20:59.280
<v Speaker 12>show that all men has maybe not been truthful to

0:20:59.320 --> 0:21:01.359
<v Speaker 12>the board and the past asked, his motives have not

0:21:01.440 --> 0:21:04.320
<v Speaker 12>always been clear. So while he may be saying one

0:21:04.400 --> 0:21:07.840
<v Speaker 12>thing about his commitment to the mission, I think they're

0:21:07.840 --> 0:21:10.760
<v Speaker 12>trying to have the jury ask some questions about whether

0:21:10.800 --> 0:21:13.200
<v Speaker 12>he's telling the truth there and whether that's really where

0:21:13.240 --> 0:21:14.159
<v Speaker 12>his motivation is.

0:21:14.840 --> 0:21:17.080
<v Speaker 3>Megs, Madlin and Macabeg will let you get back to

0:21:17.119 --> 0:21:17.680
<v Speaker 3>that courtroom.

0:21:17.680 --> 0:21:18.440
<v Speaker 6>We appreciate you.

0:21:19.920 --> 0:21:23.639
<v Speaker 3>Checking in on eBay and GameStop shares well. Apparently the

0:21:23.720 --> 0:21:27.400
<v Speaker 3>fifty six billion dollar takeover offer from GameStop is.

0:21:28.400 --> 0:21:31.360
<v Speaker 6>Deeply non credible nor attractive.

0:21:31.560 --> 0:21:35.600
<v Speaker 3>According to eBay itself, ed, we have clearly something that

0:21:35.640 --> 0:21:37.800
<v Speaker 3>now could become some sort of proxy battle. It could

0:21:37.800 --> 0:21:41.320
<v Speaker 3>become hostile takeover where Ryan Cohen goes directly to shareholders

0:21:41.680 --> 0:21:44.160
<v Speaker 3>of eBay. But thus far a company that is worth

0:21:44.200 --> 0:21:46.880
<v Speaker 3>a quarter of the company it's trying to book bid

0:21:46.920 --> 0:21:48.720
<v Speaker 3>four hasn't managed to convince the board.

0:21:49.400 --> 0:21:51.320
<v Speaker 2>Yeah, the offer was one hundred and twenty five dollars

0:21:51.359 --> 0:21:54.399
<v Speaker 2>a share, fifty percent cash, fifty percent game Stop stock.

0:21:54.600 --> 0:21:57.359
<v Speaker 2>eBay's at one oh seven, and there were concerns about

0:21:57.359 --> 0:22:00.639
<v Speaker 2>actually how game Stop would come up with the financing

0:22:00.640 --> 0:22:01.280
<v Speaker 2>of that offer.

0:22:01.440 --> 0:22:02.240
<v Speaker 4>What happens next?

0:22:02.400 --> 0:22:04.280
<v Speaker 3>Yeah, and question of course all about whether or not

0:22:04.280 --> 0:22:07.320
<v Speaker 3>this can remain an investment grade company if combined, and

0:22:07.359 --> 0:22:10.040
<v Speaker 3>that seems to be a key issue that our reporting

0:22:10.040 --> 0:22:13.880
<v Speaker 3>shows that resources showing that that TV offering not enough

0:22:13.960 --> 0:22:15.080
<v Speaker 3>if it's not investment graded.

0:22:16.480 --> 0:22:25.360
<v Speaker 2>Not the end of that story. Welcome back to Bloomberg Tech.

0:22:25.440 --> 0:22:29.399
<v Speaker 2>Generally speaking, we're seeing technology stocks down and quite significantly then,

0:22:29.400 --> 0:22:32.440
<v Speaker 2>as that one hundred off by almost two percent now,

0:22:32.440 --> 0:22:36.320
<v Speaker 2>and actually semiconductors and chips are the mainstay of that decline.

0:22:36.359 --> 0:22:39.280
<v Speaker 2>There's two parts to it. We saw an astonishing rally,

0:22:39.280 --> 0:22:42.240
<v Speaker 2>in particular in chip stocks that as of yesterday's close

0:22:42.280 --> 0:22:44.960
<v Speaker 2>we're up seventy percent year to date, so we're taking

0:22:44.960 --> 0:22:48.160
<v Speaker 2>a time out a breather, but the Philadelphia Semiconductor Index

0:22:48.240 --> 0:22:50.560
<v Speaker 2>down almost six percent and on track for its biggest

0:22:50.600 --> 0:22:51.879
<v Speaker 2>drop since the last week of March.

0:22:52.080 --> 0:22:53.720
<v Speaker 4>We did get a pretty hot.

0:22:53.480 --> 0:22:56.760
<v Speaker 2>Inflation print this morning, and our equities desk is saying

0:22:57.240 --> 0:22:59.639
<v Speaker 2>in the Global markets wrap that that's part of it,

0:22:59.720 --> 0:23:01.720
<v Speaker 2>the whole in rally. In the rally we see in

0:23:01.760 --> 0:23:06.240
<v Speaker 2>stocks carry now. Intel is an interesting case study one

0:23:06.240 --> 0:23:08.920
<v Speaker 2>of those taking a breather. It's been driven by reports

0:23:08.920 --> 0:23:11.760
<v Speaker 2>for a potential deal with Apple and a strategic pivot

0:23:11.760 --> 0:23:14.320
<v Speaker 2>into AI. Intel was staging a comeback and in a

0:23:14.359 --> 0:23:17.320
<v Speaker 2>blazing rally, added over four hundred billion dollars in market

0:23:17.400 --> 0:23:20.680
<v Speaker 2>value in just six weeks, but short interest is near

0:23:20.720 --> 0:23:24.119
<v Speaker 2>a fifty two week high, suggesting that for some today

0:23:24.200 --> 0:23:27.520
<v Speaker 2>might be the day to bet against some momentum rhyme.

0:23:27.560 --> 0:23:31.399
<v Speaker 2>Vastellica joins us with for once some good timing on

0:23:31.440 --> 0:23:33.520
<v Speaker 2>the piece you put out this morning. I joke, I joke,

0:23:34.600 --> 0:23:37.240
<v Speaker 2>explain the short interest piece to me. How does that work?

0:23:37.280 --> 0:23:38.800
<v Speaker 2>Why would it drive the stock like this?

0:23:39.840 --> 0:23:43.359
<v Speaker 13>Sure, so, as you mentioned, Intel has seen some really

0:23:43.440 --> 0:23:47.160
<v Speaker 13>tremendous momentum in the Star price over the past few weeks.

0:23:47.200 --> 0:23:49.760
<v Speaker 13>I think it's up more than two hundred percent since

0:23:50.000 --> 0:23:53.280
<v Speaker 13>late March. So that's a very attractive opportunity for a

0:23:53.320 --> 0:23:56.560
<v Speaker 13>lot of short sellers who are expecting that this momentum

0:23:56.600 --> 0:23:59.679
<v Speaker 13>will not only reverse, but reverse in a pretty dramatic fashion.

0:23:59.720 --> 0:24:02.280
<v Speaker 13>Because in addition to how much the stock is moved up,

0:24:02.640 --> 0:24:05.719
<v Speaker 13>the multiple is at an all time high over one

0:24:05.760 --> 0:24:09.119
<v Speaker 13>hundred times estimated earnings. So you have a high valuation

0:24:09.280 --> 0:24:12.560
<v Speaker 13>stock that's already seen some pretty significant games. It's not

0:24:12.600 --> 0:24:15.480
<v Speaker 13>really a surprise that people are betting on a reversal,

0:24:15.840 --> 0:24:18.480
<v Speaker 13>even though a lot of short sellers are saying, when

0:24:18.520 --> 0:24:22.119
<v Speaker 13>you have a company like this with so much positive momentum,

0:24:22.320 --> 0:24:26.840
<v Speaker 13>so much fundamental momentum, it's very difficult to pick a

0:24:26.960 --> 0:24:29.560
<v Speaker 13>top and really write the move down. So a lot

0:24:29.560 --> 0:24:32.280
<v Speaker 13>of confusion here, but certainly some people are betting on

0:24:32.320 --> 0:24:33.400
<v Speaker 13>a reversal.

0:24:33.400 --> 0:24:36.479
<v Speaker 3>And they're looking pretty clever today at least as we're

0:24:36.480 --> 0:24:39.240
<v Speaker 3>currently trading off by more than ten percent. What's interesting, though,

0:24:39.320 --> 0:24:42.440
<v Speaker 3>is that the analyst community still think one should be

0:24:42.440 --> 0:24:44.880
<v Speaker 3>buying the stock. What is it seventeen buys only three cells,

0:24:44.880 --> 0:24:45.720
<v Speaker 3>even though the price.

0:24:45.560 --> 0:24:47.479
<v Speaker 6>Target is a little out of whack who it currently

0:24:47.520 --> 0:24:47.800
<v Speaker 6>is run.

0:24:48.800 --> 0:24:50.800
<v Speaker 13>I would say that consensus is a little bit more

0:24:50.880 --> 0:24:53.879
<v Speaker 13>muted on Intel relative to some other big tech names.

0:24:54.440 --> 0:24:57.280
<v Speaker 13>I think there's far more hold ratings than there are buys.

0:24:57.320 --> 0:24:59.720
<v Speaker 13>But I do think people are warming up to this story.

0:25:00.160 --> 0:25:03.359
<v Speaker 13>A lot of skepticism for years about will they be

0:25:03.440 --> 0:25:07.000
<v Speaker 13>able to get their foundry business back at the top

0:25:07.040 --> 0:25:09.159
<v Speaker 13>of the line the industry standard, and there's been a

0:25:09.160 --> 0:25:12.000
<v Speaker 13>lot of optimism that they are showing some progress on

0:25:12.040 --> 0:25:14.919
<v Speaker 13>This turnaround was a very ambitious move. It's cost them

0:25:14.960 --> 0:25:17.280
<v Speaker 13>a lot of money. There's been a lot of skepticism,

0:25:17.320 --> 0:25:20.480
<v Speaker 13>but lately we are seeing very strong results. We had

0:25:20.560 --> 0:25:23.960
<v Speaker 13>this report about potentially working with Apple on chip making,

0:25:24.000 --> 0:25:26.960
<v Speaker 13>which would be a huge validation for the chip making business.

0:25:27.160 --> 0:25:30.160
<v Speaker 13>So there are some very positive signs here. Like I said,

0:25:30.280 --> 0:25:32.720
<v Speaker 13>the multiple is very high, there's a lot of questions

0:25:32.720 --> 0:25:35.119
<v Speaker 13>out there, and the stock has already seen a pretty

0:25:35.119 --> 0:25:36.160
<v Speaker 13>significant move.

0:25:36.400 --> 0:25:38.400
<v Speaker 3>And that's benefit of the US government for one play

0:25:38.440 --> 0:25:40.200
<v Speaker 3>bags Ron Plastelica, thanks so much.

0:25:40.400 --> 0:25:41.400
<v Speaker 6>Always great reporting.

0:25:41.560 --> 0:25:44.040
<v Speaker 3>Now let's talk about a growing number of bench firms

0:25:44.119 --> 0:25:47.360
<v Speaker 3>who are pumping ever larger sums into leading startups, open

0:25:47.400 --> 0:25:48.200
<v Speaker 3>AI and topic.

0:25:48.240 --> 0:25:50.240
<v Speaker 6>But our next guest is taking a different approach.

0:25:50.240 --> 0:25:52.480
<v Speaker 3>Bennett Segeil is a co founder of a style which

0:25:52.520 --> 0:25:56.840
<v Speaker 3>targets seed stage startups. Checks three five million dollars, it's

0:25:56.880 --> 0:25:59.080
<v Speaker 3>just closed. It's third fund four hundred and fifty million

0:25:59.080 --> 0:26:01.960
<v Speaker 3>dollars in total. That's a large seed round and fund,

0:26:02.560 --> 0:26:05.480
<v Speaker 3>but perhaps small versus multi stage VC fundraises that we've

0:26:05.480 --> 0:26:07.359
<v Speaker 3>seen of late. So Bennett and I'm pleased to welcome

0:26:07.440 --> 0:26:11.960
<v Speaker 3>you here into the New York studio. Seeds rounds have

0:26:12.080 --> 0:26:14.280
<v Speaker 3>become astronomically large in many ways.

0:26:14.440 --> 0:26:17.000
<v Speaker 6>So are you doing what you've always done? Are you

0:26:17.040 --> 0:26:18.960
<v Speaker 6>having to change with the times? How is your VC

0:26:19.080 --> 0:26:19.560
<v Speaker 6>model looking?

0:26:19.760 --> 0:26:19.879
<v Speaker 1>Well?

0:26:19.920 --> 0:26:21.920
<v Speaker 14>First off, thank you for having me. I think we

0:26:22.400 --> 0:26:24.280
<v Speaker 14>right now live in a world of giants, both on

0:26:24.359 --> 0:26:26.840
<v Speaker 14>the venture capital side and the company side, and we've

0:26:26.960 --> 0:26:30.320
<v Speaker 14>really stuck to our craft, which is early stage investing,

0:26:30.440 --> 0:26:33.040
<v Speaker 14>backing founders with an idea of raising a few million

0:26:33.080 --> 0:26:35.960
<v Speaker 14>dollars and looking to build a giant of tomorrow, and

0:26:36.080 --> 0:26:38.880
<v Speaker 14>we wanted a fund size that allowed us to execute

0:26:38.920 --> 0:26:40.960
<v Speaker 14>on this strategy where we could be a close partner

0:26:41.000 --> 0:26:44.320
<v Speaker 14>to these founders. As funds get larger, incentive shift and

0:26:44.359 --> 0:26:46.880
<v Speaker 14>they increasingly put larger amounts of capital on the later

0:26:46.960 --> 0:26:49.000
<v Speaker 14>stage rounds, and you see that with Anthropic and Open

0:26:49.080 --> 0:26:53.200
<v Speaker 14>AI raising many billions of dollars. We tend to start

0:26:53.600 --> 0:26:56.600
<v Speaker 14>more at the ground floor and have crafted our fund

0:26:56.640 --> 0:26:59.280
<v Speaker 14>in our team to be a partner to founders when

0:26:59.560 --> 0:27:02.440
<v Speaker 14>it's not obvious and before the technology is clear, before

0:27:02.480 --> 0:27:03.920
<v Speaker 14>the market opportunity is present.

0:27:04.400 --> 0:27:07.399
<v Speaker 3>But the size of the seed rounds, even when a

0:27:07.480 --> 0:27:09.920
<v Speaker 3>product hasn't developed. I mean, you're thinking, what was it

0:27:10.040 --> 0:27:13.440
<v Speaker 3>reporting around two billion being raised by Thinking Machines Lab.

0:27:13.840 --> 0:27:17.720
<v Speaker 3>You're thinking about safer superintelligence again, a two billion seed round.

0:27:18.000 --> 0:27:19.679
<v Speaker 6>I know Ed's going to come in with the avocados

0:27:19.720 --> 0:27:23.040
<v Speaker 6>and the mangoes, But how do you stick to your knitting? Oh,

0:27:23.119 --> 0:27:25.240
<v Speaker 6>you just you ignore those sorts of coming.

0:27:25.240 --> 0:27:27.280
<v Speaker 14>No, it's a great question. I think there's a bifurcation

0:27:27.400 --> 0:27:29.680
<v Speaker 14>in the market. I think there's traditional seed rounds, which

0:27:29.800 --> 0:27:34.000
<v Speaker 14>increasingly companies started by younger founders, graduates from Harvard MIT Stanford.

0:27:34.040 --> 0:27:36.359
<v Speaker 14>They're raising what we call more traditional seed round of

0:27:36.440 --> 0:27:38.880
<v Speaker 14>between three to five million dollars. In many cases, they're

0:27:38.880 --> 0:27:42.120
<v Speaker 14>building on top of foundational model companies, so they're leveraging

0:27:42.680 --> 0:27:46.320
<v Speaker 14>the technology and the capital invested in open Ianthropic and

0:27:46.400 --> 0:27:48.399
<v Speaker 14>we've backed a number of those companies and they build them.

0:27:48.520 --> 0:27:51.360
<v Speaker 14>What we call the application layer on the flip side

0:27:51.440 --> 0:27:53.400
<v Speaker 14>is exactly the types of rounds you're talking about. It's

0:27:53.400 --> 0:27:57.320
<v Speaker 14>typically researchers that are spinning out of established model companies.

0:27:57.359 --> 0:27:59.960
<v Speaker 14>They're raising in many cases could be hundreds of millions,

0:28:00.040 --> 0:28:01.600
<v Speaker 14>could be billions of dollars out of the gate to

0:28:01.680 --> 0:28:04.720
<v Speaker 14>go and do research and perhaps commercialize the future technology.

0:28:05.040 --> 0:28:08.240
<v Speaker 14>We've largely avoided those rounds. In those rounds have been

0:28:08.480 --> 0:28:11.280
<v Speaker 14>led by companies like Indries and Horrowitz and others. We

0:28:11.400 --> 0:28:14.160
<v Speaker 14>will pick our spots, but many cases founders don't really

0:28:14.240 --> 0:28:16.119
<v Speaker 14>need five hundred million dollars out of the gate, though

0:28:16.160 --> 0:28:18.320
<v Speaker 14>in this capital markets environment, they're able to get it,

0:28:18.560 --> 0:28:20.480
<v Speaker 14>and there are funds that will back them to do so.

0:28:21.920 --> 0:28:25.560
<v Speaker 2>Before co founding a Star, you did four years at

0:28:25.600 --> 0:28:30.000
<v Speaker 2>CO two and I imagine focused on slightly different scale

0:28:30.240 --> 0:28:32.520
<v Speaker 2>and domains, but would you just reflect a little bit

0:28:32.560 --> 0:28:35.879
<v Speaker 2>on the difference in your experience what that was like

0:28:35.960 --> 0:28:39.360
<v Speaker 2>out investing out of CO two versus the seed stage

0:28:39.600 --> 0:28:41.960
<v Speaker 2>at these check sizes and round sizes.

0:28:42.520 --> 0:28:44.960
<v Speaker 14>Yeah, it's a great question. I think incentives do matter,

0:28:45.160 --> 0:28:48.800
<v Speaker 14>and there's a reason that funds increasingly raise larger amounts

0:28:48.840 --> 0:28:51.040
<v Speaker 14>of money over time, and when they raise larger quantuments

0:28:51.040 --> 0:28:53.040
<v Speaker 14>of capital, they tend to invest in the later stages

0:28:53.080 --> 0:28:55.840
<v Speaker 14>and they tend to focus on large dollar deployment. You know,

0:28:55.920 --> 0:28:58.320
<v Speaker 14>CO two is a multi stage fund. They invest venturing

0:28:58.360 --> 0:29:00.480
<v Speaker 14>through public markets. Most of the focus tends to be

0:29:00.560 --> 0:29:03.200
<v Speaker 14>on the growth stages when there's already clear winners and

0:29:03.320 --> 0:29:06.240
<v Speaker 14>you could invest hundreds and millions of dollars in a company.

0:29:06.000 --> 0:29:08.200
<v Speaker 4>And look to earn a multiple on that.

0:29:08.440 --> 0:29:10.720
<v Speaker 14>You know where we play at the seed stage, we're

0:29:10.880 --> 0:29:13.440
<v Speaker 14>investing typically it starts out at a couple of million dollars.

0:29:13.480 --> 0:29:16.760
<v Speaker 14>We're backing on a founder before there's an idea, before

0:29:16.760 --> 0:29:19.760
<v Speaker 14>there's consensus around a market, and we're working with them

0:29:19.840 --> 0:29:20.680
<v Speaker 14>to build their business.

0:29:20.960 --> 0:29:22.280
<v Speaker 4>The beauty of our model is.

0:29:22.400 --> 0:29:24.640
<v Speaker 14>We can actually make venture type returns, and we can

0:29:24.720 --> 0:29:26.640
<v Speaker 14>make one hundred, two hundred and three hundred times our

0:29:26.680 --> 0:29:29.040
<v Speaker 14>money but we have to go and find these, you know,

0:29:29.320 --> 0:29:32.080
<v Speaker 14>incredible opportunities early, and it takes many years for the

0:29:32.200 --> 0:29:35.160
<v Speaker 14>companies to sort of grow and mature. The other aspect

0:29:35.200 --> 0:29:37.520
<v Speaker 14>of our model, which is different from coaches, will continue

0:29:37.600 --> 0:29:40.200
<v Speaker 14>to invest, which we've done in our best companies over time,

0:29:40.640 --> 0:29:43.320
<v Speaker 14>and be one of the largest shareholders in the cap table,

0:29:43.360 --> 0:29:46.000
<v Speaker 14>so be much more concentrated with a handful of companies

0:29:46.040 --> 0:29:48.160
<v Speaker 14>that we hope will go from inception stage to the

0:29:48.200 --> 0:29:50.160
<v Speaker 14>public markets over a decade or longer.

0:29:51.040 --> 0:29:54.640
<v Speaker 2>Well, Caroline was referring to about coconut rounds, avocado rounds,

0:29:54.720 --> 0:29:57.000
<v Speaker 2>mango seed rounds. Is I wrote a column a few

0:29:57.040 --> 0:30:00.560
<v Speaker 2>months ago that it's pointless saying seed because inside cases

0:30:01.280 --> 0:30:04.480
<v Speaker 2>the entry level is so high. But you're committed to

0:30:04.560 --> 0:30:08.440
<v Speaker 2>this two to five million dollar level, you know, that

0:30:08.880 --> 0:30:12.040
<v Speaker 2>would counter that that the seed market is alive and

0:30:12.160 --> 0:30:14.120
<v Speaker 2>well and true to its definition.

0:30:14.680 --> 0:30:16.400
<v Speaker 14>Look, we're going to play the game in the field.

0:30:16.480 --> 0:30:19.080
<v Speaker 14>We've modestly grown fun size. We started out with a

0:30:19.120 --> 0:30:21.040
<v Speaker 14>three hundred million dollar fund. We're now in fun three

0:30:21.120 --> 0:30:23.640
<v Speaker 14>or four hundred and fifty million, So we see inflation

0:30:23.960 --> 0:30:26.360
<v Speaker 14>in round size, and you know, our goals to partner

0:30:26.440 --> 0:30:28.760
<v Speaker 14>with the best founders in Silicon Valley, so we will

0:30:28.800 --> 0:30:31.800
<v Speaker 14>do what we need to do to accomplish that. That said,

0:30:32.160 --> 0:30:35.280
<v Speaker 14>it's still rare for founders to raise one hundred million

0:30:35.320 --> 0:30:38.880
<v Speaker 14>dollars out of the gate with no product or prior

0:30:39.000 --> 0:30:42.080
<v Speaker 14>track record. That is a rare, I would say circumstance

0:30:42.120 --> 0:30:45.040
<v Speaker 14>of particularly researchers coming out of labs what we see

0:30:45.120 --> 0:30:48.000
<v Speaker 14>in other cases. For instance, with a company called Decagon,

0:30:48.080 --> 0:30:50.240
<v Speaker 14>which is one of the leaders in AI customer support.

0:30:50.320 --> 0:30:52.760
<v Speaker 14>It's one of the killer use cases that AI where

0:30:52.760 --> 0:30:54.800
<v Speaker 14>you could replace a lot of folks in the call

0:30:54.880 --> 0:30:57.440
<v Speaker 14>center functions. You know, we co let a seed round

0:30:57.440 --> 0:31:00.080
<v Speaker 14>at a twenty two point five million dollar valuation. In

0:31:00.200 --> 0:31:02.360
<v Speaker 14>less than three years, the company has valued at nearly

0:31:02.440 --> 0:31:05.440
<v Speaker 14>five billion dollars, and we've invested in every single round

0:31:05.720 --> 0:31:07.640
<v Speaker 14>and worked with them to build the business. I think

0:31:07.640 --> 0:31:09.920
<v Speaker 14>there are a number of examples like that where you

0:31:10.000 --> 0:31:12.240
<v Speaker 14>can do a lot with less capital and in fact

0:31:12.400 --> 0:31:15.000
<v Speaker 14>enforces discipline on the teams and the companies.

0:31:15.760 --> 0:31:19.040
<v Speaker 2>Decagoon founded by Jesse Jang and Ashri and Stream of Us.

0:31:19.080 --> 0:31:22.360
<v Speaker 2>I think I've been on this program Bennett's eeg or

0:31:22.360 --> 0:31:25.240
<v Speaker 2>Astar co founder, not enough time, but really interesting look

0:31:25.280 --> 0:31:27.440
<v Speaker 2>at that earlier stage of investing. Thank you very much.

0:31:27.880 --> 0:31:31.000
<v Speaker 2>Now coming up, we're going to speak with SAPCO Christian Klein.

0:31:31.440 --> 0:31:36.040
<v Speaker 2>There's the company debuts, it's autonomous enterprise platform, it's conversations.

0:31:36.120 --> 0:31:37.600
<v Speaker 4>Next, this is Doonberg Tech.

0:31:40.880 --> 0:31:44.440
<v Speaker 2>SAP has unveiled a new autonomous enterprise platform at this

0:31:44.560 --> 0:31:49.160
<v Speaker 2>year's SAP Sapphire Conference, expanding its push into AI agents

0:31:49.200 --> 0:31:54.160
<v Speaker 2>across business operations. Joining us now is SAP CEO Christian Client.

0:31:54.440 --> 0:31:57.840
<v Speaker 2>Let's start by stripping away the jargon. What is an

0:31:57.840 --> 0:32:01.160
<v Speaker 2>autonomous enterprise platform and what is it that your customers

0:32:01.200 --> 0:32:04.160
<v Speaker 2>can now do, Christian that they couldn't do before.

0:32:05.240 --> 0:32:07.560
<v Speaker 4>Yeah, thanks a lot. First of all, ed for having

0:32:07.640 --> 0:32:08.520
<v Speaker 4>me yesterday.

0:32:08.680 --> 0:32:12.160
<v Speaker 15>We launch the Autonomous Enterprise and we have record attendency

0:32:12.200 --> 0:32:15.680
<v Speaker 15>at Sapphire and I see only thousands of customers very

0:32:15.760 --> 0:32:19.600
<v Speaker 15>excited about the Autonomous Enterprise because we showed our customers

0:32:19.640 --> 0:32:22.760
<v Speaker 15>today that while the large language models are getting better

0:32:22.800 --> 0:32:26.000
<v Speaker 15>and better, they don't know anything about your business data

0:32:26.080 --> 0:32:29.160
<v Speaker 15>and your business processes. And as part of the autonomous

0:32:29.240 --> 0:32:32.040
<v Speaker 15>Enterprise is our new AI platform. And here we are

0:32:32.080 --> 0:32:35.120
<v Speaker 15>infusing the brain of every company, which is the EERP,

0:32:35.760 --> 0:32:38.800
<v Speaker 15>into the platform, so that the agents also not only

0:32:38.920 --> 0:32:41.400
<v Speaker 15>have the large language models, but also that they have

0:32:41.600 --> 0:32:44.640
<v Speaker 15>the context of how a company wants. And then on

0:32:44.760 --> 0:32:47.520
<v Speaker 15>top we had customers like eight and AM, JP Mong

0:32:47.640 --> 0:32:50.360
<v Speaker 15>Chase who have brewn that you know, with these agents

0:32:50.440 --> 0:32:54.560
<v Speaker 15>you can really deliver accurate, compland and reliable results.

0:32:54.840 --> 0:32:57.920
<v Speaker 6>Christian, how are you showing that productivity?

0:32:58.280 --> 0:33:00.880
<v Speaker 3>What sort of data, what sort of statistics you're able

0:33:00.960 --> 0:33:01.800
<v Speaker 3>to show your clients?

0:33:02.680 --> 0:33:05.640
<v Speaker 15>Actually we shottle together with JP Mong Chase that they

0:33:05.720 --> 0:33:08.080
<v Speaker 15>can close the books faster now by thirty percent.

0:33:08.360 --> 0:33:11.120
<v Speaker 4>We have shown with H and M that the turno.

0:33:11.560 --> 0:33:14.440
<v Speaker 15>In their commerce shop is now better because of our

0:33:14.520 --> 0:33:18.120
<v Speaker 15>personalized agent. We have shown that inventory god reduced by

0:33:18.200 --> 0:33:21.560
<v Speaker 15>ten percent because actually our agents work with each other

0:33:21.920 --> 0:33:25.400
<v Speaker 15>and the demand agent actually signaled the inventory agent, hey,

0:33:25.600 --> 0:33:29.280
<v Speaker 15>how to optimize and to how to optimize procurement. So

0:33:29.400 --> 0:33:32.320
<v Speaker 15>we really could also connect the story very well from

0:33:32.360 --> 0:33:35.440
<v Speaker 15>the front office into the fulfillment functions, which is the

0:33:35.520 --> 0:33:36.400
<v Speaker 15>power of SAP.

0:33:38.320 --> 0:33:42.160
<v Speaker 2>Very recently spoke to AWS CEO Matt Garman, an AWS

0:33:42.440 --> 0:33:45.920
<v Speaker 2>partner of SAPs, but they are also moving into this

0:33:46.080 --> 0:33:50.080
<v Speaker 2>exact domain. How much pressure you feel, in Christian to

0:33:50.240 --> 0:33:55.720
<v Speaker 2>offer this sort of encompassing agentic platform because if you don't,

0:33:55.840 --> 0:33:56.640
<v Speaker 2>someone else will.

0:33:57.640 --> 0:33:58.200
<v Speaker 4>Yeah, for sure.

0:33:58.280 --> 0:34:01.360
<v Speaker 15>But look, take AWS actually a great partner. I mean,

0:34:01.600 --> 0:34:04.440
<v Speaker 15>Matta and I talk regularly, and because you know, as

0:34:04.480 --> 0:34:06.960
<v Speaker 15>a matter of fact, not all data of the world

0:34:07.040 --> 0:34:09.880
<v Speaker 15>sits in SEP systems. And with AWS, we are now

0:34:09.960 --> 0:34:12.680
<v Speaker 15>partnering to also build a harmony data layer because of

0:34:12.760 --> 0:34:16.480
<v Speaker 15>course still agents they can't compensate for problem data modules.

0:34:16.640 --> 0:34:19.840
<v Speaker 15>And as part of our new SEP business aiplatform, we

0:34:19.960 --> 0:34:23.600
<v Speaker 15>also now harmonized data SAP non SEP data, and then

0:34:23.640 --> 0:34:26.759
<v Speaker 15>we've infused it into the agents, so we see AWS

0:34:27.000 --> 0:34:29.759
<v Speaker 15>Microsoft we had in Vitair. Here on stage we have

0:34:29.920 --> 0:34:33.000
<v Speaker 15>data break Snowflakes. They are all now joining our platform

0:34:33.120 --> 0:34:35.920
<v Speaker 15>to harmonize business data and these are the partnerships we

0:34:36.040 --> 0:34:38.200
<v Speaker 15>need to deliver highly ecoate AI.

0:34:39.080 --> 0:34:41.719
<v Speaker 3>Is it the accuracy that you think wins people over

0:34:41.800 --> 0:34:44.560
<v Speaker 3>from worrying that you're going to lose out competition? That's

0:34:44.560 --> 0:34:47.240
<v Speaker 3>the heart of where it's going, Like everyone's a frenemi,

0:34:47.400 --> 0:34:49.760
<v Speaker 3>but also the labs serious competition.

0:34:49.880 --> 0:34:51.560
<v Speaker 6>How do you fend off the software anxiety?

0:34:52.680 --> 0:34:53.560
<v Speaker 4>Caroline Exactly.

0:34:53.760 --> 0:34:55.799
<v Speaker 15>I guess the heart of the new platform is clearly

0:34:55.880 --> 0:34:58.680
<v Speaker 15>our contact layer, because the brain of every company is

0:34:58.760 --> 0:35:01.000
<v Speaker 15>the EERP. I mean, we have over seven point five

0:35:01.040 --> 0:35:04.120
<v Speaker 15>million data fields in there, we have thousands of business processes,

0:35:04.360 --> 0:35:07.360
<v Speaker 15>and that knowledge sits in our platform. And this is

0:35:07.440 --> 0:35:10.399
<v Speaker 15>clearly how the platform also can differentiate. You can use

0:35:10.480 --> 0:35:13.879
<v Speaker 15>any commodity LLM you want. People can bring their own

0:35:13.960 --> 0:35:16.440
<v Speaker 15>modules what they would like to use. But then on

0:35:16.560 --> 0:35:20.399
<v Speaker 15>the blootform, these agents immediately get the context what only

0:35:20.600 --> 0:35:23.319
<v Speaker 15>SEP has and that's our why to win, and that's

0:35:23.320 --> 0:35:24.759
<v Speaker 15>how SEP will differentiate.

0:35:26.440 --> 0:35:30.440
<v Speaker 2>Christian in Nvidia CEO Jens Munk's formula or equation is

0:35:30.560 --> 0:35:35.560
<v Speaker 2>very simple. More compute, more tokens, more revenues. Do you

0:35:35.600 --> 0:35:38.080
<v Speaker 2>have any case studies with customers where you can say

0:35:38.400 --> 0:35:42.000
<v Speaker 2>there's actual real revenues through the agentic work they've done

0:35:42.040 --> 0:35:42.560
<v Speaker 2>with SAP.

0:35:43.719 --> 0:35:43.919
<v Speaker 4>Yeah.

0:35:43.960 --> 0:35:46.200
<v Speaker 15>I had Chensen actually with me on the keynote today

0:35:46.239 --> 0:35:48.880
<v Speaker 15>and he clearly said he, of course, which is our

0:35:49.000 --> 0:35:51.120
<v Speaker 15>best luck first of all as a customer to SVP,

0:35:51.440 --> 0:35:54.440
<v Speaker 15>but the second obviously in order to get higher consumption

0:35:54.600 --> 0:35:57.600
<v Speaker 15>of compute and chips. I mean, you need consumption at

0:35:57.640 --> 0:36:00.719
<v Speaker 15>the top where the real value creation happens. And that's

0:36:00.760 --> 0:36:03.919
<v Speaker 15>why when we actually now can build an autonomous supply

0:36:04.040 --> 0:36:06.400
<v Speaker 15>chain for in Vitia. I mean they see this immediately

0:36:06.480 --> 0:36:08.799
<v Speaker 15>also in the hardware consumption. And this is where also

0:36:08.880 --> 0:36:11.759
<v Speaker 15>in Vita and SAP are partnering up to build the

0:36:11.800 --> 0:36:12.920
<v Speaker 15>autonomous enterprise.

0:36:13.440 --> 0:36:17.320
<v Speaker 3>Christian Klein of SAP Sapphire event, we very much appreciate

0:36:17.360 --> 0:36:18.200
<v Speaker 3>you joining from Florida.

0:36:18.280 --> 0:36:18.560
<v Speaker 6>Thank you.

0:36:24.560 --> 0:36:26.600
<v Speaker 3>Ford, and it's set to open a nearly three billion

0:36:26.640 --> 0:36:30.520
<v Speaker 3>dollar battery plant in Marshall, Michigan, bringing new manufacturing jobs.

0:36:30.320 --> 0:36:31.560
<v Speaker 6>An investment to the United States.

0:36:31.719 --> 0:36:35.480
<v Speaker 3>The facility will use technology though license from China's COATL

0:36:35.719 --> 0:36:39.400
<v Speaker 3>supplying LITHIUMAH and phosphate battery chemistry, an arrangement drawing some

0:36:39.520 --> 0:36:42.239
<v Speaker 3>scrutiny amid the US China attentions. This comes across as

0:36:42.280 --> 0:36:44.320
<v Speaker 3>President Trump heads to China this week for talks of

0:36:44.360 --> 0:36:46.640
<v Speaker 3>President using ping so joining us. We've got a roundtable

0:36:46.920 --> 0:36:49.759
<v Speaker 3>Niberg's Auto Report at Keith Norton and Senior Tech editor

0:36:49.840 --> 0:36:52.840
<v Speaker 3>Mike Shephard And Keith, I start with you, because what

0:36:53.040 --> 0:36:56.040
<v Speaker 3>is the relationship like between Ford and CAATL. Has it

0:36:56.120 --> 0:36:59.600
<v Speaker 3>been rosy throughout the ability to build out this manufacturing site.

0:37:00.600 --> 0:37:00.759
<v Speaker 10>Yeah.

0:37:00.880 --> 0:37:05.200
<v Speaker 16>CTL is in Marshall, Michigan right now, training workers, helping

0:37:05.400 --> 0:37:07.920
<v Speaker 16>get this plant off the ground. It's due to open

0:37:08.520 --> 0:37:12.080
<v Speaker 16>this year. Ford takes great pains to say it's fully

0:37:12.200 --> 0:37:14.720
<v Speaker 16>owned by Ford and the workers are employed by Ford.

0:37:15.120 --> 0:37:17.040
<v Speaker 16>It is just a licensing deal. But they've had a

0:37:17.080 --> 0:37:22.000
<v Speaker 16>good relationship to develop these lower cost LFP batteries that

0:37:22.080 --> 0:37:27.080
<v Speaker 16>are central to Ford's efforts to overhaul its EV strategy

0:37:27.360 --> 0:37:31.920
<v Speaker 16>and deploy more affordable evs in twenty twenty seven.

0:37:32.480 --> 0:37:37.040
<v Speaker 3>But Mike this relationship, though Rosie hasn't been particularly well

0:37:37.080 --> 0:37:40.320
<v Speaker 3>loved by some people in Michigan. But even and the

0:37:40.360 --> 0:37:43.239
<v Speaker 3>wholes of Congress, right, how has this been sitting The

0:37:43.400 --> 0:37:46.240
<v Speaker 3>sharing of technology between China and US giants?

0:37:47.600 --> 0:37:50.200
<v Speaker 17>Well, in general, there has been a lot of reluctance

0:37:50.360 --> 0:37:53.560
<v Speaker 17>to allow this kind of a partnership. Anything that remotely

0:37:53.719 --> 0:37:58.680
<v Speaker 17>touches on advanced technology immediately draws concerns from wawmakers here

0:37:59.200 --> 0:38:03.560
<v Speaker 17>in Washington who really fear the leakage of technology to China,

0:38:03.680 --> 0:38:08.000
<v Speaker 17>but also the potential leakage of data and other information

0:38:08.239 --> 0:38:11.960
<v Speaker 17>that could jeopardize US national security. And we have seen that,

0:38:12.080 --> 0:38:15.200
<v Speaker 17>of course in the battle over TikTok, and then more

0:38:15.280 --> 0:38:19.040
<v Speaker 17>recently we have seen this in terms of legislation at

0:38:19.080 --> 0:38:21.880
<v Speaker 17>the State level, and even introduced here at the national

0:38:22.000 --> 0:38:25.960
<v Speaker 17>level this week in Washington aimed at restricting Chinese purchases

0:38:26.160 --> 0:38:30.480
<v Speaker 17>of land and also investments in businesses here for those

0:38:30.640 --> 0:38:33.680
<v Speaker 17>verious security reasons. And it's important to know, Caro, that

0:38:33.880 --> 0:38:38.000
<v Speaker 17>COTL itself is the focus of some of those concerns.

0:38:38.160 --> 0:38:40.719
<v Speaker 17>The company in twenty twenty five was added to this

0:38:40.920 --> 0:38:45.240
<v Speaker 17>Pentagon list of companies that the US government believes support

0:38:45.360 --> 0:38:46.720
<v Speaker 17>China's military.

0:38:47.360 --> 0:38:50.279
<v Speaker 2>Keith, do you not have a great sense of deja vu?

0:38:50.880 --> 0:38:53.879
<v Speaker 2>Didn't you and I write about a COATL licensing deal

0:38:53.920 --> 0:38:57.560
<v Speaker 2>in twenty twenty three that Sections as a Republican Party

0:38:57.760 --> 0:38:59.280
<v Speaker 2>then said was a trojan horse.

0:39:00.000 --> 0:39:00.320
<v Speaker 4>Different.

0:39:01.280 --> 0:39:04.799
<v Speaker 16>Yeah, So there continues to be these concerns, as Mike

0:39:04.840 --> 0:39:08.839
<v Speaker 16>is saying about ties to the Chinese Commingist Party with CTL.

0:39:09.160 --> 0:39:13.399
<v Speaker 16>But here's the reality, Ed, you cannot pursue an EV

0:39:13.600 --> 0:39:17.759
<v Speaker 16>strategy without dealing with the Chinese. The Chinese control eighty

0:39:17.800 --> 0:39:21.360
<v Speaker 16>percent of the world's capacity for batteries, and that is

0:39:21.440 --> 0:39:25.440
<v Speaker 16>the most costly component of an electric vehicle. CATL has

0:39:25.560 --> 0:39:28.880
<v Speaker 16>half of that, So they're the battery giant that you

0:39:29.040 --> 0:39:31.680
<v Speaker 16>must deal with if you want to have an electric

0:39:31.760 --> 0:39:32.600
<v Speaker 16>vehicle strategy.

0:39:33.800 --> 0:39:36.920
<v Speaker 2>What that story at the time showed shep and became

0:39:37.080 --> 0:39:40.279
<v Speaker 2>true in the first few months of this administration was

0:39:40.360 --> 0:39:44.200
<v Speaker 2>there is a scale of China hawkishness right ranging from

0:39:44.560 --> 0:39:48.319
<v Speaker 2>we need complete access and work with China to let's

0:39:48.360 --> 0:39:50.520
<v Speaker 2>not do any business with China. And when the President

0:39:50.640 --> 0:39:53.839
<v Speaker 2>goes with that entourage with CEOs in the next twenty

0:39:53.880 --> 0:39:57.719
<v Speaker 2>four hours, that spectrum of hawkishness will also be a

0:39:57.800 --> 0:39:59.240
<v Speaker 2>part of the political story.

0:40:00.680 --> 0:40:03.600
<v Speaker 17>Well, it certainly will ed. We will see that follow

0:40:03.760 --> 0:40:07.360
<v Speaker 17>the delegation with the President. And these are the concerns

0:40:07.440 --> 0:40:11.040
<v Speaker 17>that's around the ability of China, for example, to purchase

0:40:11.719 --> 0:40:15.239
<v Speaker 17>advanced AI chips from Nvidia, and a notable absence of

0:40:15.360 --> 0:40:18.960
<v Speaker 17>courses noted early on the program is Nvidia's Jensen Wang

0:40:19.560 --> 0:40:23.799
<v Speaker 17>and also the Iran conflict itself will barge into these

0:40:23.880 --> 0:40:28.200
<v Speaker 17>talks and really perhaps restrain the ability of unfettered deal

0:40:28.280 --> 0:40:30.800
<v Speaker 17>making by some of these companies. They'll be looking for

0:40:31.400 --> 0:40:35.399
<v Speaker 17>smaller wins, perhaps in the Chinese market, and then we'll

0:40:35.480 --> 0:40:38.080
<v Speaker 17>come up the question, of course, of what can China

0:40:38.160 --> 0:40:40.560
<v Speaker 17>do for the US, which is what Donald Trump has

0:40:40.640 --> 0:40:44.320
<v Speaker 17>tried with other trading partners like Japan, South Korea, the

0:40:44.440 --> 0:40:48.439
<v Speaker 17>European Union, encouraging them to invest here in the US

0:40:48.480 --> 0:40:51.880
<v Speaker 17>as part of trade negotiations. The challenge is though reaching

0:40:51.960 --> 0:40:54.480
<v Speaker 17>some sort of a grand bargain with the US would

0:40:54.560 --> 0:40:58.600
<v Speaker 17>require much more complex talks on issues ranging from tariffs

0:40:58.880 --> 0:41:02.680
<v Speaker 17>to market access China, and then also the even more

0:41:02.760 --> 0:41:07.240
<v Speaker 17>sensitive question of rare earths and whether China would relax

0:41:07.520 --> 0:41:10.840
<v Speaker 17>its position in terms of handling the choke point that

0:41:10.960 --> 0:41:15.040
<v Speaker 17>it holds, the chokehold that it holds over those elements

0:41:15.080 --> 0:41:19.000
<v Speaker 17>that are critical to manufacturing in so many areas, including autos,

0:41:19.080 --> 0:41:20.479
<v Speaker 17>but across the economy, I mean.

0:41:20.400 --> 0:41:22.520
<v Speaker 3>Where US is where it's that when it comes to

0:41:22.640 --> 0:41:25.600
<v Speaker 3>battery technology. Keith and I go back in many ways

0:41:25.640 --> 0:41:28.440
<v Speaker 3>to market access, because with one breath you'll hear the

0:41:28.520 --> 0:41:32.600
<v Speaker 3>Ford CEO working on this relationship with the atl and

0:41:32.640 --> 0:41:34.480
<v Speaker 3>then the second best saying, but we don't want Chinese

0:41:34.520 --> 0:41:36.759
<v Speaker 3>main cars or auto's coming to the United States.

0:41:36.800 --> 0:41:38.600
<v Speaker 6>So that's something that's got to be balanced.

0:41:39.000 --> 0:41:42.480
<v Speaker 16>Exactly right, because the United States is still well behind

0:41:42.560 --> 0:41:46.440
<v Speaker 16>the Chinese and eb technology maybe a decade behind. And

0:41:47.120 --> 0:41:50.720
<v Speaker 16>of course the Chinese auto industry is supported by its government,

0:41:50.840 --> 0:41:54.560
<v Speaker 16>so they have lower costs. So Jim Farley, the CEO

0:41:54.640 --> 0:41:57.799
<v Speaker 16>of Ford, says, keep the Chinese out, but we also

0:41:58.000 --> 0:41:59.840
<v Speaker 16>value our partnerships with the Chinese.

0:42:00.120 --> 0:42:01.879
<v Speaker 5>We want to do more of them.

0:42:02.040 --> 0:42:05.600
<v Speaker 16>So yeah, it's a very fine line that they're treading here,

0:42:05.840 --> 0:42:08.320
<v Speaker 16>and they do need Chinese tech if they want to

0:42:08.400 --> 0:42:12.000
<v Speaker 16>have evs, but they also would be swamped by Chinese

0:42:12.040 --> 0:42:15.600
<v Speaker 16>competition if Chinese evs were allowed in For America.

0:42:16.120 --> 0:42:20.600
<v Speaker 2>Bloombergs Keith Norton and Bloomberg's Mike Shepherd, thank you very much. Okay,

0:42:20.640 --> 0:42:23.320
<v Speaker 2>before we go, let's take a look at today's big number.

0:42:23.440 --> 0:42:25.640
<v Speaker 2>One hundred and thirty five billion dollars. That's how much

0:42:25.719 --> 0:42:29.360
<v Speaker 2>Netflix says it has spent over the past decade making

0:42:29.440 --> 0:42:32.560
<v Speaker 2>films and TV shows in more than fifty countries. That's

0:42:32.600 --> 0:42:35.480
<v Speaker 2>a part of a new website called the Netflix Effect

0:42:35.840 --> 0:42:38.240
<v Speaker 2>that the company is using to show how it boosts

0:42:38.280 --> 0:42:41.800
<v Speaker 2>local economies. Netflix says the impact goes beyond direct employment.

0:42:41.840 --> 0:42:45.439
<v Speaker 2>For instance, highlighting how South Korea Caro sort of twenty

0:42:45.520 --> 0:42:47.400
<v Speaker 2>five percent spike in airline bookings.

0:42:47.880 --> 0:42:50.359
<v Speaker 3>I just think new film Nana and the Magician's Nephew

0:42:50.400 --> 0:42:53.759
<v Speaker 3>actually going to having a long run in theaters. How

0:42:54.000 --> 0:42:56.920
<v Speaker 3>Netflix is changing the game that does it though, for

0:42:57.040 --> 0:42:59.120
<v Speaker 3>this edition of Bloomberg Tech, a.

0:42:59.200 --> 0:43:01.719
<v Speaker 2>Big show ahead, a big remainder of the week. Don't

0:43:01.760 --> 0:43:03.719
<v Speaker 2>forget to check out the pod. That's where you can

0:43:03.800 --> 0:43:05.719
<v Speaker 2>find it. This is Bloomberg Tech.

0:43:06.560 --> 0:43:06.960
<v Speaker 7>M HM