WEBVTT - Alibaba to Ramp Up AI Spend, Kimmel Returns to Late Night

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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 Sentrancsco.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>Ali Barberscher's surge to the highest level for nearly four

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<v Speaker 3>years after revealing plans to ramp up AI spending.

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<v Speaker 4>Plus Stargate takes shape. Five new data center sites in

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<v Speaker 4>the US planned as open aiplows one are a billion

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<v Speaker 4>dollars into AI infrastructure along with partners Oracle and SoftBank.

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<v Speaker 3>And Jimmy Kimmel returned to TV Tuesday night, saying it

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<v Speaker 3>was never his intention to make light of the murder

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<v Speaker 3>of Charlie Kirk.

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<v Speaker 2>We have the latest.

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<v Speaker 4>Let's turn our attention though to the markets which are

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<v Speaker 4>flat on the day and the moment, and I'm looking

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<v Speaker 4>at nassack up. Well, we're currently lower by tenth of

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<v Speaker 4>a percent. We have been training higher. No, we've got sensitivity,

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<v Speaker 4>sensitivity to the macro data home sales coming strong yields

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<v Speaker 4>on the bond market therefore push higher. Also though the

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<v Speaker 4>bond market, the US treasury market being affected by a

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<v Speaker 4>big corporate debt sale coming from a big tech player

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<v Speaker 4>at Yeah.

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<v Speaker 3>There's a lot of stories to get to in the program.

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<v Speaker 3>You are right, Oracle shares are down, but it's a

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<v Speaker 3>debt story tapping corporate bond markets for fifteen billion dollars

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<v Speaker 3>of debt, including a very rare.

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<v Speaker 2>Forty year No.

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<v Speaker 3>In the program, we're going to get to that and

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<v Speaker 3>their role in what's happening with open AI and the

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<v Speaker 3>Stargate build out. Ali Barber having a really strong day

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<v Speaker 3>simply pledging to spend even more on AI than the

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<v Speaker 3>fifty billion dollars they already disclose, and then Microns strong

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<v Speaker 3>forecast for the current period in line with consensus above consensus.

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<v Speaker 3>But as you know is always the case, there are

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<v Speaker 3>elements of the street that were even more bullish. They

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<v Speaker 3>wanted to see more from the Memory Maker in the

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<v Speaker 3>role that it's playing in Aida Center's characters.

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<v Speaker 4>Only when it's added forty percent of its share price

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<v Speaker 4>in just this month's the lone ed. But first it

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<v Speaker 4>is the United Nations General Assembly. It's still underway this

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<v Speaker 4>week here in New York, and we now go to

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<v Speaker 4>the un Rose Garden Weblionberg survey that says Amri Horden

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<v Speaker 4>is standing by with a special guest.

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<v Speaker 5>Thank you so much, Caroline. Well, as far as the

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<v Speaker 5>UN General Assembly goes, this one was of note. The

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<v Speaker 5>past twenty four hours we saw really a massive geopolitical

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<v Speaker 5>shift from the rhetoric of President Donald Trump, and I'm

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<v Speaker 5>so glad right now to get the inside of what

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<v Speaker 5>this means for Europe. She's European's top diplomat and also

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<v Speaker 5>the former Estonian Prime Minister Kaya Kalis. Thank you so much,

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<v Speaker 5>and welcome to Bloomberg TV.

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<v Speaker 6>Thank you for having me.

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<v Speaker 5>So yesterday, President Trump came out with this post on

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<v Speaker 5>social media saying he thinks Ukraine can actually get back

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<v Speaker 5>all of the land, a very different tone that we

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<v Speaker 5>saw from him even just three weeks ago. He said

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<v Speaker 5>that the European Union would have to be on board

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<v Speaker 5>with this, so what is the path forward?

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<v Speaker 6>Well, it was also very positive statement. I mean before

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<v Speaker 6>I also met with the Ukrainians who had a meeting

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<v Speaker 6>with President Trump and also said that it was a

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<v Speaker 6>very good meeting, asking you know, how you know US

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<v Speaker 6>can support also Ukraine and saying that you know, Russia's

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<v Speaker 6>economy is not doing well all what we also read

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<v Speaker 6>in the in the post. So we have been on

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<v Speaker 6>that line, and we really welcome the shift in the tone.

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<v Speaker 5>The president also talked about even going further into even Russia.

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<v Speaker 5>Is you're prepared to buy more weapons to then give

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<v Speaker 5>them to Ukraine.

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<v Speaker 6>Well, we are doing a lot. I mean this year

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<v Speaker 6>only our military support to Ukraine has been twenty five billion,

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<v Speaker 6>which is more than any other year. It is clear

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<v Speaker 6>that we have to help Ukraine to defend themselves because

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<v Speaker 6>as President Zelenski said in speech as well, I mean

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<v Speaker 6>if we allow Russia will just go further, we have

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<v Speaker 6>to push them back. We have to also say that

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<v Speaker 6>this is not okay and you cannot let the aggression

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<v Speaker 6>pay off.

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<v Speaker 5>Due to the sense of which European countries, though are

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<v Speaker 5>willing to put it more funds when it comes to Ukraine,

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<v Speaker 5>whether or not it's funds directly or to actually buy

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<v Speaker 5>those weapons.

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<v Speaker 6>Well, we have different initiatives also to help European countries

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<v Speaker 6>to help Ukraine but also invest more in their own defense,

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<v Speaker 6>and we are putting a lot of funding on the table.

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<v Speaker 6>Of course, it is difficult. It requires also member states

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<v Speaker 6>to make some very difficult decisions like cutting social spending

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<v Speaker 6>but also raising taxes which are not popular. That is

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<v Speaker 6>very clear but we are in this situation where we

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<v Speaker 6>are where we have to invest in defense, and the

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<v Speaker 6>problem is that you need it when you actually don't

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<v Speaker 6>feel the need yet. So you need to do the

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<v Speaker 6>decisions way before you actually need the defense capabilities. And

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<v Speaker 6>if you do it, it acts as a deterrence so

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<v Speaker 6>that the aggressor would not look your way.

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<v Speaker 5>Trump also said yesterday the US is prepared for more

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<v Speaker 5>powerful sanctions, robust sanctions, tariffs on Russia, but only if

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<v Speaker 5>the European Union is in lockstep.

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<v Speaker 7>Now, we have seen.

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<v Speaker 5>Movements the European Union is talking about when it comes

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<v Speaker 5>to things like fossil fuels. They are ready to do

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<v Speaker 5>these tariffs. But we are three years and seven months

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<v Speaker 5>into this war. Why did it take for President Trump

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<v Speaker 5>to convince Brussels to do what Brussels probably knew from

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<v Speaker 5>the very beginning they had to do.

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<v Speaker 8>Now, excuse me.

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<v Speaker 6>We have done the nineteen packages of sanctions, and we

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<v Speaker 6>would like our partners three in lockstep with us because

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<v Speaker 6>we have put a lot of pressure than next the

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<v Speaker 6>package that we propose now, as also crypto financing institutions.

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<v Speaker 6>Also energy. Yes, what Bresident Trump says about energy is true.

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<v Speaker 6>We have been saying for the I know.

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<v Speaker 5>You specifically are talking about this for a year.

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<v Speaker 6>Quite some time, because we have been dependent on Russia

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<v Speaker 6>and now we are phasing out, and it's true that it.

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<v Speaker 2>Should be faster.

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<v Speaker 6>We are trying to push those few Member states who

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<v Speaker 6>are still buying Russian energy to show that actually, if

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<v Speaker 6>you want this war to stop, you need to really

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<v Speaker 6>cut off the funding of this war which comes from

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<v Speaker 6>the fossil fuds.

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<v Speaker 5>Hungary, Belgium, France.

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<v Speaker 2>Do you think they're really prepared to do this?

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<v Speaker 6>I mean these countries, I mean the countries who are

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<v Speaker 6>dependent on Some are making great steps and some are

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<v Speaker 6>not so clearly, some are great friends of President Trump,

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<v Speaker 6>which has been also our appeal to President Trump to

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<v Speaker 6>talk to them, like Hungary, for example, so that this

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<v Speaker 6>is necessary. The neighbors around Hungary, for example, have proposed

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<v Speaker 6>solutions so that they can get energy from the neighbors

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<v Speaker 6>and do not have to depend on Russia, but so

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<v Speaker 6>far they haven't really wanted to as the energy is

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<v Speaker 6>much cheaper.

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<v Speaker 5>Do you view this posture now from the United States?

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<v Speaker 5>Some are calling it a full one eighty? Do you

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<v Speaker 5>view it as concrete? Is this tangible?

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<v Speaker 6>How long will it last, Well, we welcome those statements

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<v Speaker 6>and the change of tone. Like I said, so let's

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<v Speaker 6>build on this also really tangible steps. I mean on

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<v Speaker 6>the European side, we have been keeping this line. Also

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<v Speaker 6>putting our money where our mouth is, I mean, supporting

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<v Speaker 6>Ukraine their defense capability, is investing more in our defense

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<v Speaker 6>and also pushing back Russia, putting pressure on Russia. What

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<v Speaker 6>we want to see you from all our allies.

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<v Speaker 5>One country that could really put pressure on Russia is China.

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<v Speaker 5>Given the fact that you've been working with the United

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<v Speaker 5>States when it comes to Russia, could more be done

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<v Speaker 5>between the European Union and the US to put pressure

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<v Speaker 5>on China to then put pressure on putin USS tariffs

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<v Speaker 5>on China. Is it time for the European Union to

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<v Speaker 5>consider putting the walls up on China, not just what's

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<v Speaker 5>going on in Ukraine, but also they're pretty much dismantling

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<v Speaker 5>the European industrial base.

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<v Speaker 6>Well, it is true. We have two big worries with China.

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<v Speaker 6>One is the economic cursive practices that they are using

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<v Speaker 6>against European companies which are really hurting our companies, industry

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<v Speaker 6>and economy. And the other part is them being the

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<v Speaker 6>key enabler of Russia's war in Ukraine. So we had

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<v Speaker 6>China Summit. We are stressing all these points and really

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<v Speaker 6>raising these points and also acting on them. If you

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<v Speaker 6>look at the sanctions package, we are sanctioned also Chinese

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<v Speaker 6>companies who are enabling this war to continue. So we

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<v Speaker 6>are not or let's put it this way, that we

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<v Speaker 6>are believers of free trades, so we are not using

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<v Speaker 6>tariffs as the measures, but we are putting pressure by

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<v Speaker 6>other means.

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<v Speaker 9>I just want to.

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<v Speaker 5>Finish on the incursions. When it comes to European airspace. Friday,

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<v Speaker 5>it happened in Estonia, a country you used to lead

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<v Speaker 5>is a Estonia, and these countries prepared to do with

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<v Speaker 5>the President Donald Trump thinks NATO ally should do shoot

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<v Speaker 5>these Russian aircrafts down.

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<v Speaker 6>Well, NATO is a collective defense alliance, which means that

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<v Speaker 6>attack on one is attack on all. This is Article five.

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<v Speaker 6>So it's clearly if if those drones are airplanes, are

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<v Speaker 6>violating the airspace, are creating security risks, then there has

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<v Speaker 6>to be a proper response. The Esonia asked the article

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<v Speaker 6>for which is consultations how to continue and all the

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<v Speaker 6>member states in NATO, including the United States, have vowed

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<v Speaker 6>to keep up their commitments.

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<v Speaker 5>Madam Callis, thank you so much for time on Blomberg

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<v Speaker 5>TV today. Caroline ed, of course, that was Europe's top

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<v Speaker 5>diplomat welcoming the really reversal we saw from the President

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<v Speaker 5>of the United States right here at the UN yesterday

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<v Speaker 5>when it comes to Putin's invasion of Ukraine.

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<v Speaker 3>Bloomberg's Amory Horden at the United Nations, thank you very much.

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<v Speaker 9>So.

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<v Speaker 3>Coming up on Bloomberg Tech, the largest US maker CP

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<v Speaker 3>computer memory ships gabe an upbeat forecast for the current quoler.

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<v Speaker 3>We'll talk about what's lifting Mike One's outlook. Next, why

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<v Speaker 3>the shares aren't doing so well. This is Bloomberg Tech.

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<v Speaker 4>Microsoft will start using AI models from Anthropic to help

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<v Speaker 4>power its workplace AI assistant, a product that has so far,

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<v Speaker 4>of course, been mostly driven by Open AI. Starting today,

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<v Speaker 4>business users of Microsoft's Copilot branded AI assistant well, they

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<v Speaker 4>will be able to toggle between open AI and Anthropic

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<v Speaker 4>models for certain functions like digital research assistance or building

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<v Speaker 4>customized AI Toolsberg's Brody Ford joins us for this and

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<v Speaker 4>so many other stories. Brody we start with the idea

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<v Speaker 4>the Microsoft becoming less and less dependent on open ai

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<v Speaker 4>and versus vice versa.

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<v Speaker 10>That's the big question for Microsoft right it's kind of stake.

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<v Speaker 10>It's ai bets on the idea that open ai will

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<v Speaker 10>be its golden goose. These two companies have slowly moved

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<v Speaker 10>apart from one another, and today we see Microsoft making

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<v Speaker 10>a big partnership with the other kind of leading frontier

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<v Speaker 10>model maker of anthropics, showing that you know, they're testing

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<v Speaker 10>the waters. They're looking around. They aren't as a bet

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<v Speaker 10>on the Altman show, Brody.

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<v Speaker 3>The big story in the market today is is Oracle

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<v Speaker 3>tap in corporate bonds fifteen billion dollars including a forty

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<v Speaker 3>year note, which is a rare thing, but actually it

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<v Speaker 3>just speaks what you wrote about in the Tech and

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<v Speaker 3>Depth newsletter. There are all these pledges and Oracle and

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<v Speaker 3>others are run in all these checks for future infrastructure,

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<v Speaker 3>and now they're trying to work out how they're going

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<v Speaker 3>to cover those checks.

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<v Speaker 10>Oracle is one of the great cash cow businesses of

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<v Speaker 10>all time, but it's cash flows when negative, and it's

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<v Speaker 10>going to be negative for the next couple of years.

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<v Speaker 10>They've committed the serving of open ai, serving customers like

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<v Speaker 10>Meta with huge data centers and that money's got to

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<v Speaker 10>come from somewhere, and so folks have wondered where that

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<v Speaker 10>will be, and so seeing them tap the debt markets

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<v Speaker 10>in a big way today is not a shocker, but

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<v Speaker 10>it's maybe a larger sum than we anticipated.

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<v Speaker 4>And how amazing that people are willing to commit to

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<v Speaker 4>buying forty year debt when still we're wondering if we

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<v Speaker 4>win the AI race in that time. But I think

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<v Speaker 4>it speaks to what was announce of late yesterday as well,

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<v Speaker 4>open AI articulating those five new sites around United States,

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<v Speaker 4>the idea that they need they're going to be playing

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<v Speaker 4>four hundred billion of the five hundred billion committed in stargate.

0:12:05.880 --> 0:12:08.360
<v Speaker 4>But what was really interesting and shoeing Gafari wrote about

0:12:08.400 --> 0:12:11.400
<v Speaker 4>this was that basically some altman saying, we haven't quite

0:12:11.440 --> 0:12:15.079
<v Speaker 4>got funding tied up here yet, We're having to be creative,

0:12:15.160 --> 0:12:18.040
<v Speaker 4>basically is what they're saying. And look at how Video

0:12:18.160 --> 0:12:19.120
<v Speaker 4>invested in Open AI.

0:12:19.240 --> 0:12:21.520
<v Speaker 10>Off the back of that, you're hearing these fears of

0:12:21.559 --> 0:12:25.400
<v Speaker 10>a circular spending a lot more right that one hundred

0:12:25.440 --> 0:12:27.920
<v Speaker 10>billions going from Open Aid to Video to Oracle and

0:12:28.040 --> 0:12:30.719
<v Speaker 10>back right, And the Oracle's new co CEO said that

0:12:30.880 --> 0:12:34.120
<v Speaker 10>in Texas yesterday as well that look, we're clearly doing

0:12:34.200 --> 0:12:36.760
<v Speaker 10>something here. You can see it. We have ambitious plans.

0:12:37.440 --> 0:12:40.040
<v Speaker 10>The money is something we're still figuring out. This is

0:12:40.080 --> 0:12:42.240
<v Speaker 10>a historic amount of investment, and we're going to have

0:12:42.360 --> 0:12:45.360
<v Speaker 10>to use interesting new structures. Was I think his words.

0:12:46.520 --> 0:12:49.839
<v Speaker 3>There's three new sites right in this expansion of stargates,

0:12:49.920 --> 0:12:53.480
<v Speaker 3>Shackelford County, Texas, donn Aana County, New Mexico, and then

0:12:53.520 --> 0:12:56.480
<v Speaker 3>somewhere in the Midwest. So we don't know about explain

0:12:56.600 --> 0:12:59.520
<v Speaker 3>Oracle's involvement, because they are actually at the heart of

0:12:59.600 --> 0:13:01.840
<v Speaker 3>this sty and I think it's worth lingering.

0:13:01.600 --> 0:13:07.319
<v Speaker 10>On Oracle as agreed to effectively be the infrastructure middle person.

0:13:07.480 --> 0:13:09.320
<v Speaker 10>Right They're going to go out and find data center

0:13:09.400 --> 0:13:12.120
<v Speaker 10>developers who have figured out the power. They're going to

0:13:12.160 --> 0:13:15.240
<v Speaker 10>rent big old buildings from them, fill them with servers,

0:13:15.320 --> 0:13:17.240
<v Speaker 10>and then use power from those servers and give it

0:13:17.320 --> 0:13:20.840
<v Speaker 10>to open AI. They have committed to a pretty incredible

0:13:20.920 --> 0:13:24.280
<v Speaker 10>project here, and it's work that's worth noting that Microsoft

0:13:24.400 --> 0:13:26.839
<v Speaker 10>passed on. They said that for whatever reason, they weren't

0:13:26.840 --> 0:13:30.400
<v Speaker 10>going to do that, and so Oracle has found its

0:13:30.440 --> 0:13:33.480
<v Speaker 10>way to be taken seriously in the clouds infrastructure game.

0:13:33.720 --> 0:13:36.400
<v Speaker 10>Did something huge, but now it has to deliver.

0:13:38.120 --> 0:13:40.120
<v Speaker 3>And has to find some money to do it. Adix

0:13:40.160 --> 0:13:42.720
<v Speaker 3>brody Ford, great reporting, Thank you very much. The other

0:13:42.760 --> 0:13:45.400
<v Speaker 3>big story out there in the market is Micron shares

0:13:45.440 --> 0:13:48.040
<v Speaker 3>a little bit under pressure. The company reported a strong

0:13:48.160 --> 0:13:51.400
<v Speaker 3>outlook for the current core to help by demand for

0:13:51.480 --> 0:13:54.120
<v Speaker 3>high bandwidth memory in the AI context. It's a classic

0:13:54.160 --> 0:13:57.679
<v Speaker 3>scenario Carrage talking about earlier where it beat consensus on

0:13:58.200 --> 0:14:01.080
<v Speaker 3>its outlook, but at the very high end of estimates.

0:14:01.360 --> 0:14:03.560
<v Speaker 3>You know, this was a high bar kind of corner.

0:14:03.600 --> 0:14:06.760
<v Speaker 3>Let's get out to Kim Forrest Cio a book Capital Partners.

0:14:07.720 --> 0:14:10.839
<v Speaker 3>You know, the market starting to understand that HBM is

0:14:11.240 --> 0:14:14.720
<v Speaker 3>absolutely critical to the AI infrastructure build out we've got,

0:14:15.400 --> 0:14:18.000
<v Speaker 3>but still such a high bar for Micron. What was

0:14:18.040 --> 0:14:20.880
<v Speaker 3>your reaction and interpretation of those numbers.

0:14:22.520 --> 0:14:25.880
<v Speaker 8>I thought they were incredible because I had, you know,

0:14:26.080 --> 0:14:29.760
<v Speaker 8>consensus estimates kind of in my mind whenever I was

0:14:29.840 --> 0:14:33.000
<v Speaker 8>looking at this stock. Now, the other thing that is

0:14:33.120 --> 0:14:36.520
<v Speaker 8>missing from this equation is it's run up tremendously in

0:14:36.600 --> 0:14:39.360
<v Speaker 8>the recent past, So I think there is a little

0:14:39.680 --> 0:14:43.600
<v Speaker 8>but maybe some of the traders that aren't in that

0:14:43.720 --> 0:14:45.840
<v Speaker 8>aren't going to stay around in the name are out

0:14:46.040 --> 0:14:48.800
<v Speaker 8>because of the great gains they've gotten in the recent past.

0:14:48.960 --> 0:14:51.360
<v Speaker 8>So there's a little bit of profit taking going on.

0:14:52.000 --> 0:14:55.440
<v Speaker 8>But really all arrows are green and pointed up. So

0:14:55.600 --> 0:14:58.200
<v Speaker 8>I think this stock is pointed up into the right.

0:14:58.920 --> 0:15:01.000
<v Speaker 8>And some of the the areas that I think are

0:15:01.080 --> 0:15:04.560
<v Speaker 8>most kind of strange is old tech is coming back

0:15:04.640 --> 0:15:07.880
<v Speaker 8>for them as well. And I mean that's kind of

0:15:08.000 --> 0:15:10.600
<v Speaker 8>great too for a lot of players if you are

0:15:10.720 --> 0:15:15.200
<v Speaker 8>a tech oriented investor, so regular servers, you know, just

0:15:15.600 --> 0:15:20.120
<v Speaker 8>the stuff that Microsoft and Oracle has been building for itself,

0:15:20.720 --> 0:15:24.200
<v Speaker 8>for enterprise to rent out aws, that sort of stuff

0:15:24.720 --> 0:15:27.320
<v Speaker 8>is on the upswing. It has been missing for a

0:15:27.400 --> 0:15:31.400
<v Speaker 8>couple of years, right. And then here's a crazy idea, PCs.

0:15:31.560 --> 0:15:35.480
<v Speaker 8>Because they're killing Windows ten, there is going to be

0:15:35.560 --> 0:15:39.600
<v Speaker 8>increased demand for PCs and probably the higher endpcs as

0:15:39.680 --> 0:15:43.880
<v Speaker 8>people start to play around with AI. So all arrows

0:15:44.080 --> 0:15:46.480
<v Speaker 8>look upwards. And I don't really care what the stock's

0:15:46.520 --> 0:15:49.800
<v Speaker 8>doing today. It generally does does this and it's not

0:15:49.920 --> 0:15:52.200
<v Speaker 8>trading off quite as much as it had in the

0:15:52.280 --> 0:15:53.960
<v Speaker 8>recent past on the day after.

0:15:53.840 --> 0:15:56.320
<v Speaker 3>Earning well kim trading up in the recent past is

0:15:56.400 --> 0:15:58.920
<v Speaker 3>up ninety four percent year today, second best performer on

0:15:58.960 --> 0:16:02.120
<v Speaker 3>the Philadelphia Index this year. I'm going to ask you

0:16:02.280 --> 0:16:08.120
<v Speaker 3>something generally about AI infrastructure. Are various technology companies writing

0:16:08.360 --> 0:16:13.120
<v Speaker 3>checks that energy companies, the grid utilities can't cash in

0:16:13.240 --> 0:16:16.200
<v Speaker 3>the future, like something has got to give here.

0:16:17.320 --> 0:16:21.120
<v Speaker 8>Yes, absolutely, we have this crazy thing called the physical world,

0:16:21.400 --> 0:16:24.800
<v Speaker 8>right that is running up against the virtual world. And

0:16:25.400 --> 0:16:28.400
<v Speaker 8>I'm one of the people that really worry about this.

0:16:29.720 --> 0:16:32.840
<v Speaker 8>I think AI is going to add productivity, but the

0:16:32.960 --> 0:16:36.080
<v Speaker 8>open AI kind of model of we're going to have

0:16:36.200 --> 0:16:39.680
<v Speaker 8>one big brain that you're going to tap into it

0:16:39.920 --> 0:16:43.360
<v Speaker 8>worries me first of all, for just tally up the expenses.

0:16:43.880 --> 0:16:47.000
<v Speaker 8>I'm someone that came out of tech because the companies,

0:16:47.080 --> 0:16:50.239
<v Speaker 8>the AI companies I was working for, were not profitable

0:16:50.640 --> 0:16:54.280
<v Speaker 8>because they didn't understand the problem. The cost of the

0:16:54.600 --> 0:16:58.320
<v Speaker 8>problem had to be lower than the cost of this,

0:16:58.600 --> 0:17:01.680
<v Speaker 8>or sorry, higher than the cost of the solution. And

0:17:01.800 --> 0:17:05.040
<v Speaker 8>I don't really understand what lms are solving, Like you

0:17:05.160 --> 0:17:08.200
<v Speaker 8>can't do a quick like back of the envelope calculation

0:17:08.359 --> 0:17:10.360
<v Speaker 8>and go yeah, people are really going to benefit from

0:17:10.400 --> 0:17:14.720
<v Speaker 8>these financially. So these are the things that I worry about,

0:17:14.800 --> 0:17:17.239
<v Speaker 8>not just power but who's going to pay for all

0:17:17.280 --> 0:17:21.000
<v Speaker 8>this infrastructure? Forty year notes for Oracle lovely that they

0:17:21.040 --> 0:17:23.600
<v Speaker 8>think they're going to get paid back shorter timeline than that.

0:17:24.200 --> 0:17:27.439
<v Speaker 8>But I don't understand the use case where businesses are

0:17:27.480 --> 0:17:30.840
<v Speaker 8>going to pay like right, enormous sums of money.

0:17:30.720 --> 0:17:33.520
<v Speaker 4>To ta Ki to cut to the chase. Do you

0:17:33.600 --> 0:17:37.120
<v Speaker 4>think this is more you know, the idea of big

0:17:37.200 --> 0:17:38.399
<v Speaker 4>bubble rather than big bets.

0:17:39.920 --> 0:17:40.159
<v Speaker 9>I do.

0:17:40.800 --> 0:17:43.720
<v Speaker 8>I do, And it's a very very big bubble because

0:17:43.760 --> 0:17:47.280
<v Speaker 8>they've solved a very big problem natural language processing. But

0:17:47.400 --> 0:17:50.040
<v Speaker 8>people are conflating that it's more than that, that this

0:17:50.200 --> 0:17:53.480
<v Speaker 8>is a thinking machine, and it is not. I think

0:17:53.600 --> 0:17:56.679
<v Speaker 8>that this will be used. I think llms are very useful,

0:17:57.080 --> 0:17:59.280
<v Speaker 8>but they are not the answer, the end all be

0:17:59.440 --> 0:17:59.760
<v Speaker 8>all of.

0:17:59.800 --> 0:18:04.320
<v Speaker 4>A So therefore exposure at the moment you talk about

0:18:04.359 --> 0:18:06.680
<v Speaker 4>open ai, and there's a lot of private money going

0:18:06.720 --> 0:18:09.800
<v Speaker 4>into open ai, but open AI's demand props up the

0:18:09.840 --> 0:18:12.680
<v Speaker 4>future revenue streams of video maybe even Micron as well.

0:18:13.119 --> 0:18:16.040
<v Speaker 4>How much can you keep buying in to these companies

0:18:16.160 --> 0:18:18.879
<v Speaker 4>like Micron that is posting gross margin in excess of

0:18:18.920 --> 0:18:19.600
<v Speaker 4>fifty percent in.

0:18:19.640 --> 0:18:23.080
<v Speaker 2>The here and now, Well, here's here's my model.

0:18:23.160 --> 0:18:27.040
<v Speaker 8>It's the third option that we're not talking about is

0:18:27.119 --> 0:18:30.199
<v Speaker 8>that companies, and I'm not recommending them, I'm using them

0:18:30.240 --> 0:18:34.960
<v Speaker 8>as an example. Pallenteer solves smaller problems with AI that

0:18:35.160 --> 0:18:38.200
<v Speaker 8>still need the same sort of chips, the same sort

0:18:38.240 --> 0:18:42.280
<v Speaker 8>of infrastructure, but not just not quite as much. Right,

0:18:42.800 --> 0:18:47.800
<v Speaker 8>So they're solving problems, smaller problems at a smaller cost,

0:18:48.359 --> 0:18:51.280
<v Speaker 8>and that I think is going to be the formula,

0:18:51.400 --> 0:18:52.000
<v Speaker 8>and there will.

0:18:51.840 --> 0:18:52.600
<v Speaker 2>Be many of these.

0:18:53.080 --> 0:18:56.240
<v Speaker 8>But unlike open AI that seems to think that, you know,

0:18:56.320 --> 0:18:59.959
<v Speaker 8>we're going to have servers from New York to San Francis,

0:19:00.160 --> 0:19:03.879
<v Speaker 8>US go, you know, throughout the country, like all of

0:19:03.960 --> 0:19:07.320
<v Speaker 8>the country is going to have those. It's hyperbole, of course,

0:19:07.359 --> 0:19:10.240
<v Speaker 8>I don't think that, but you know, the scale is

0:19:10.400 --> 0:19:13.879
<v Speaker 8>not the same as with a smaller AI sort of model.

0:19:14.440 --> 0:19:17.520
<v Speaker 4>Kim Forrest and both Capital partners always love the straight talking.

0:19:17.680 --> 0:19:26.800
<v Speaker 4>Thanks for joining. Jimmy Kimmel returned to the airwaves last

0:19:26.880 --> 0:19:29.760
<v Speaker 4>night after Disney lifted its suspension following remarks made by

0:19:29.840 --> 0:19:32.960
<v Speaker 4>the host about the assassination of Charlie Kirk. Here is

0:19:32.960 --> 0:19:35.520
<v Speaker 4>what Kimmel had to say about the controversy.

0:19:35.840 --> 0:19:37.879
<v Speaker 11>And the truth is, I don't think what I have

0:19:38.040 --> 0:19:39.560
<v Speaker 11>to say is going to make much of a difference.

0:19:39.600 --> 0:19:40.520
<v Speaker 2>If you like me, like me.

0:19:40.560 --> 0:19:42.640
<v Speaker 11>If you don't, you don't. I have no illusions about

0:19:42.720 --> 0:19:45.040
<v Speaker 11>changing anyone's mind, but I do want to make something

0:19:45.080 --> 0:19:47.600
<v Speaker 11>clear because it's important to me as a human and

0:19:47.720 --> 0:19:50.800
<v Speaker 11>that is you understand that it was never my intention

0:19:51.240 --> 0:19:54.040
<v Speaker 11>to make light of the murder of a young man.

0:19:55.240 --> 0:19:55.600
<v Speaker 10>I don't.

0:20:00.359 --> 0:20:03.439
<v Speaker 4>Bloomberg's Hannah Miller, who covers Hollywood and entertainment, joins us,

0:20:03.480 --> 0:20:07.200
<v Speaker 4>now emotional at times but also fighting talks at others,

0:20:07.240 --> 0:20:10.720
<v Speaker 4>particularly when targeted at Brendan Carr, the SEC, and the

0:20:10.800 --> 0:20:11.320
<v Speaker 4>White House.

0:20:11.680 --> 0:20:13.600
<v Speaker 7>Yeah, if you listen to the rest of that monologue,

0:20:13.720 --> 0:20:17.159
<v Speaker 7>you know, Jimmy goes hard after a Brendan Carr and

0:20:17.440 --> 0:20:21.480
<v Speaker 7>really calls him out for stifling free speech. And you know,

0:20:21.560 --> 0:20:24.640
<v Speaker 7>he makes very clear he's not sorry about what exactly

0:20:24.720 --> 0:20:27.520
<v Speaker 7>he said. He's sorry if he caused offense over the

0:20:27.600 --> 0:20:28.840
<v Speaker 7>death of Charlie Kirk.

0:20:29.800 --> 0:20:30.119
<v Speaker 2>Hannah.

0:20:30.359 --> 0:20:33.960
<v Speaker 3>The President reacted in a post on truth Social And

0:20:34.240 --> 0:20:38.240
<v Speaker 3>we also had the reporting from Bloomberg about recent days

0:20:38.400 --> 0:20:41.200
<v Speaker 3>Kimmel meeting himself directly with Disney executives.

0:20:41.640 --> 0:20:43.960
<v Speaker 2>What's the reporting we need to know about on that Yeah.

0:20:44.000 --> 0:20:47.040
<v Speaker 7>So even before Jimmy Kimmel went on air, you had

0:20:47.119 --> 0:20:50.159
<v Speaker 7>President Trump posting on truth social you know, making these

0:20:50.320 --> 0:20:53.640
<v Speaker 7>vague legal threats, you know, saying that he had previously

0:20:53.800 --> 0:20:57.640
<v Speaker 7>gotten millions of dollars from ABC, referencing a past lawsuit

0:20:57.720 --> 0:21:00.840
<v Speaker 7>that they had settled, and that you know, he might

0:21:00.880 --> 0:21:03.480
<v Speaker 7>go after them again. So you again, we're seeing this

0:21:03.840 --> 0:21:07.639
<v Speaker 7>contentious relationship between the Trump administration and media.

0:21:08.119 --> 0:21:11.720
<v Speaker 4>And also the two major TV station known as Sinclair

0:21:11.840 --> 0:21:16.000
<v Speaker 4>Nexstar that puts out the content to many many Americans

0:21:16.359 --> 0:21:19.639
<v Speaker 4>are still having Jimmy kimb Alive on hold. So how

0:21:19.720 --> 0:21:21.439
<v Speaker 4>does that impact Disney's business model here?

0:21:21.720 --> 0:21:24.720
<v Speaker 7>Yeah, so about twenty three percent of the country was

0:21:24.880 --> 0:21:27.359
<v Speaker 7>not able to see this, you know, they were they

0:21:27.400 --> 0:21:30.240
<v Speaker 7>saw other broadcasting, you know, news programming things like that.

0:21:31.520 --> 0:21:33.639
<v Speaker 7>You know, we've seen a lot of talk about the

0:21:33.680 --> 0:21:36.600
<v Speaker 7>business impact when it comes to subscription cancelations when you

0:21:36.640 --> 0:21:39.600
<v Speaker 7>look at Disney Plus and Hulu. Jimmy Kimmel actually made

0:21:39.600 --> 0:21:42.479
<v Speaker 7>a joke about that where he read instructions about how

0:21:42.560 --> 0:21:46.480
<v Speaker 7>to you know, get your subscription back if you did cancel. So,

0:21:46.640 --> 0:21:49.800
<v Speaker 7>you know, it's it's been very interesting to see the impact.

0:21:49.480 --> 0:21:53.080
<v Speaker 3>On Disney Bloomberg's Hannemiller and the team at screen time

0:21:53.119 --> 0:21:54.920
<v Speaker 3>around the clock reporting really appreciate it.

0:22:01.320 --> 0:22:02.560
<v Speaker 2>Welcome back to Bloomberg Tech.

0:22:02.560 --> 0:22:04.960
<v Speaker 3>I want to get right to Ali Barber's US listed

0:22:05.040 --> 0:22:07.040
<v Speaker 3>shares or ADRs. We've just in the last couple of

0:22:07.119 --> 0:22:09.240
<v Speaker 3>minutes come off a session high. We're up nine and

0:22:09.280 --> 0:22:11.240
<v Speaker 3>a half percent, on track for the biggest jump in

0:22:11.240 --> 0:22:14.200
<v Speaker 3>about a month. The shares trading at their highest levels

0:22:14.200 --> 0:22:15.520
<v Speaker 3>since the middle of twenty twenty one.

0:22:16.000 --> 0:22:17.159
<v Speaker 2>The story is really simple.

0:22:17.720 --> 0:22:20.040
<v Speaker 3>Overnight, Ali Barber said it was going to commit to

0:22:20.160 --> 0:22:23.600
<v Speaker 3>spending even more than the fifty billion dollars it had

0:22:23.640 --> 0:22:27.240
<v Speaker 3>already committed for artificial intelligence, and that is something we

0:22:27.320 --> 0:22:30.840
<v Speaker 3>see in China Caro, from Huawei through to ten Cent.

0:22:30.960 --> 0:22:33.600
<v Speaker 3>But Ali barbera a key name and clearly it's driving markets.

0:22:33.640 --> 0:22:35.440
<v Speaker 3>And the last thing I'd say is I saw a

0:22:35.480 --> 0:22:37.720
<v Speaker 3>headline on the term of this morning that when those

0:22:37.760 --> 0:22:40.000
<v Speaker 3>ADRs jumped in the pre market, the rest of the

0:22:40.080 --> 0:22:42.640
<v Speaker 3>market went with it, and we saw futures gain as well.

0:22:42.840 --> 0:22:43.760
<v Speaker 2>So we're paying attention.

0:22:44.200 --> 0:22:46.600
<v Speaker 4>We are to thirty five billion dollars added in market

0:22:46.680 --> 0:22:49.480
<v Speaker 4>cap and to a new large language model update too

0:22:49.520 --> 0:22:51.439
<v Speaker 4>from Ali Barba let's get to it. Boomberg's Henry Wren,

0:22:51.480 --> 0:22:53.960
<v Speaker 4>who covers equities in tech, joins us now. And it

0:22:54.119 --> 0:22:56.080
<v Speaker 4>does seem to be the fact that Ali Barbera is

0:22:56.160 --> 0:23:00.000
<v Speaker 4>all in, whether it's offering cloud, whether it's expanding its investment,

0:23:00.240 --> 0:23:02.400
<v Speaker 4>whether it's thinking about its own chips too.

0:23:03.960 --> 0:23:05.960
<v Speaker 12>Yes, it's about building an ecosystem.

0:23:06.040 --> 0:23:06.760
<v Speaker 2>Thanks for having me.

0:23:06.920 --> 0:23:11.840
<v Speaker 12>So it's Alibaba's annual developers conference and lots of surprise.

0:23:11.920 --> 0:23:14.600
<v Speaker 12>The biggest surprises you mentioned is about them raising the

0:23:14.680 --> 0:23:17.360
<v Speaker 12>kapex guidance for AI capex.

0:23:17.000 --> 0:23:17.920
<v Speaker 2>Over the next three years.

0:23:18.280 --> 0:23:21.160
<v Speaker 12>We already knew from February that in the next three

0:23:21.240 --> 0:23:23.680
<v Speaker 12>years they are going to commit over fifty billion US

0:23:23.760 --> 0:23:27.239
<v Speaker 12>dollars of spending on AI infrastructure, but they said they

0:23:27.240 --> 0:23:30.240
<v Speaker 12>will be spending more, but although that they didn't give

0:23:30.440 --> 0:23:34.080
<v Speaker 12>specific numbers. But investors are already getting excited about their

0:23:34.119 --> 0:23:34.920
<v Speaker 12>AI projects.

0:23:35.359 --> 0:23:37.439
<v Speaker 2>So the shares rallied, of course.

0:23:37.560 --> 0:23:40.960
<v Speaker 12>And on data center and cloud, the company said it

0:23:41.080 --> 0:23:44.000
<v Speaker 12>has already been expanding overseas, it will continue to do

0:23:44.160 --> 0:23:47.040
<v Speaker 12>so and over the next year it will be building

0:23:47.160 --> 0:23:51.440
<v Speaker 12>data centers in countries like the Netherlands, France and Brazil.

0:23:51.840 --> 0:23:52.919
<v Speaker 2>And that's another plus.

0:23:53.320 --> 0:23:56.479
<v Speaker 12>And On the model side, the company released this new

0:23:56.600 --> 0:24:00.520
<v Speaker 12>QN Max three model, which, according to the company is

0:24:00.840 --> 0:24:04.320
<v Speaker 12>amound the top in the charts the benchmark as well.

0:24:04.400 --> 0:24:07.520
<v Speaker 12>So all those are pluses and for Chinese investors that

0:24:07.600 --> 0:24:12.560
<v Speaker 12>are enthusiastic about AI developments, the shares have reacted positively.

0:24:13.960 --> 0:24:16.640
<v Speaker 3>Bloombergs Henry Rare and out of London, thank you very much.

0:24:16.800 --> 0:24:21.800
<v Speaker 3>China's biggest tech firms are pouring unprecedented sums into artificial intelligence,

0:24:21.880 --> 0:24:24.640
<v Speaker 3>matching the massive investments already underway.

0:24:24.280 --> 0:24:24.800
<v Speaker 2>In the US.

0:24:25.240 --> 0:24:28.639
<v Speaker 3>Global tech investment firm Process holds a significant stake in

0:24:28.680 --> 0:24:31.800
<v Speaker 3>one of those giants. Ten Cent joining us now is

0:24:31.920 --> 0:24:35.000
<v Speaker 3>CEO for Britzio Bluisi, who visits us in San Francisco.

0:24:35.320 --> 0:24:37.840
<v Speaker 3>You know, Henry did a good job breaking down what

0:24:37.960 --> 0:24:41.600
<v Speaker 3>Ali Barba had to say. You through your lens of

0:24:41.720 --> 0:24:45.560
<v Speaker 3>ten Cent, understand what's happening in China. How do you

0:24:45.680 --> 0:24:48.720
<v Speaker 3>interpret and react to what Ali Barba told us overnight?

0:24:48.840 --> 0:24:51.240
<v Speaker 9>Hello Ed and Caroline, pleasure to be here. Thanks for

0:24:51.640 --> 0:24:56.080
<v Speaker 9>receiving me. We are extremely excited about AI in China.

0:24:56.200 --> 0:24:58.760
<v Speaker 9>I know there is so much geopolitical tention about who's

0:24:58.800 --> 0:25:01.720
<v Speaker 9>going to in This is not like a simple win thing.

0:25:02.160 --> 0:25:03.960
<v Speaker 9>This is going to change the world in the next

0:25:04.080 --> 0:25:06.919
<v Speaker 9>ten twenty years substantially, and the giants of China are

0:25:06.960 --> 0:25:10.400
<v Speaker 9>invested substantially against that. Aliba Bai is doing a great work,

0:25:10.480 --> 0:25:12.440
<v Speaker 9>but also ten Cent is doing a great work. Deep

0:25:12.520 --> 0:25:15.160
<v Speaker 9>Seat had a big impact in what everyone is doing

0:25:15.240 --> 0:25:18.679
<v Speaker 9>here also in Europe and US, so we are bullshed.

0:25:18.720 --> 0:25:21.040
<v Speaker 9>This is going to keep growing. I want to give

0:25:21.080 --> 0:25:25.760
<v Speaker 9>you one extra data. China ten days ago released it

0:25:25.960 --> 0:25:30.040
<v Speaker 9>is AI plus policy. Yes, where they say in three

0:25:30.160 --> 0:25:32.800
<v Speaker 9>years seventy percent of the device are going to be

0:25:32.840 --> 0:25:35.639
<v Speaker 9>AI enabled using open source AI. In ten years, the

0:25:35.760 --> 0:25:39.040
<v Speaker 9>whole society is going to be disrupted by AI. So

0:25:39.119 --> 0:25:41.760
<v Speaker 9>it's amazing how committed China is to AI. And I

0:25:41.800 --> 0:25:44.000
<v Speaker 9>think it's our obligation in US to do that. It's

0:25:44.040 --> 0:25:47.359
<v Speaker 9>our obligation as one of the biggest European companies to

0:25:47.560 --> 0:25:50.760
<v Speaker 9>invest in Europe so it can keep the pace or

0:25:50.840 --> 0:25:51.240
<v Speaker 9>do better.

0:25:51.600 --> 0:25:51.760
<v Speaker 11>You know.

0:25:53.359 --> 0:25:56.800
<v Speaker 3>Overall, what these Chinese technology companies share is their commitment

0:25:56.840 --> 0:25:57.200
<v Speaker 3>to spend.

0:25:57.280 --> 0:25:58.320
<v Speaker 2>But they are very different.

0:25:58.400 --> 0:26:00.920
<v Speaker 3>They have different proportions of the business on e commerce,

0:26:01.320 --> 0:26:05.680
<v Speaker 3>pure cloud computing. How should we distinguish ten cents AI

0:26:05.840 --> 0:26:08.640
<v Speaker 3>strategy from Ali Barba, what is the piece of ten

0:26:08.720 --> 0:26:11.359
<v Speaker 3>cents AI plan that you have most burtish on?

0:26:11.960 --> 0:26:16.919
<v Speaker 9>The tencent has wishats and we set pay and all

0:26:17.000 --> 0:26:20.879
<v Speaker 9>the communications in China runs against through isshets, and the

0:26:20.960 --> 0:26:25.000
<v Speaker 9>impacts of AI in communications in companionship is amazing and

0:26:25.119 --> 0:26:28.320
<v Speaker 9>now in shopping through messaging. So we are very bullished

0:26:28.320 --> 0:26:30.640
<v Speaker 9>that there is a lot of things to do through tencents,

0:26:31.080 --> 0:26:33.560
<v Speaker 9>But I want to remind you all we are trying

0:26:33.560 --> 0:26:36.560
<v Speaker 9>to replicate that in Europe, India and Latin America. That's

0:26:36.600 --> 0:26:39.840
<v Speaker 9>what Process is doing today. I think China is playing

0:26:39.960 --> 0:26:42.280
<v Speaker 9>very well. US is playing very well, but that is

0:26:42.400 --> 0:26:46.159
<v Speaker 9>a big space for other big tech champions in Europe.

0:26:46.480 --> 0:26:49.760
<v Speaker 9>Europe is more or less the size of the American economy,

0:26:49.920 --> 0:26:54.480
<v Speaker 9>but has like ASML, Process, Spotify, Mistra, maybe three or

0:26:54.520 --> 0:26:57.680
<v Speaker 9>four one hundred billion dollar companies. We believe there will

0:26:57.720 --> 0:26:59.840
<v Speaker 9>be trillion dollar company in Europe. That's why we're investing

0:26:59.840 --> 0:27:02.600
<v Speaker 9>in Europe tributy there the same thing in India. Were

0:27:02.640 --> 0:27:06.000
<v Speaker 9>invested hard in India. We invested a lot in Latin America.

0:27:06.440 --> 0:27:11.439
<v Speaker 9>And it's good to remind sometimes everyone, including my US friends,

0:27:11.600 --> 0:27:13.200
<v Speaker 9>AI is going to be a global thing and we

0:27:13.359 --> 0:27:16.280
<v Speaker 9>have many global rights tech champions around the world. That's

0:27:16.280 --> 0:27:17.080
<v Speaker 9>what Process is doing.

0:27:17.760 --> 0:27:18.240
<v Speaker 2>Fabricio.

0:27:18.359 --> 0:27:21.240
<v Speaker 4>Yeah, you're trying to make Process that global tech champion.

0:27:21.600 --> 0:27:24.960
<v Speaker 4>Can you describe the exact tactic of that at the moment,

0:27:25.000 --> 0:27:27.200
<v Speaker 4>because it seems like you're all in on this idea

0:27:27.240 --> 0:27:30.720
<v Speaker 4>of lifestyle e commerce system. More broadly, how do you

0:27:30.800 --> 0:27:32.280
<v Speaker 4>become the bigger than the some of your parts?

0:27:34.240 --> 0:27:36.200
<v Speaker 9>Definitely, we are very excited about what we are doing.

0:27:36.240 --> 0:27:39.040
<v Speaker 9>Our first part of the strategy to invest in our

0:27:39.119 --> 0:27:42.560
<v Speaker 9>three ecosistems Latin America, where we are doing very well

0:27:42.680 --> 0:27:45.520
<v Speaker 9>through ifood and a whole ecosystem around the eyefoot for example,

0:27:45.560 --> 0:27:47.879
<v Speaker 9>a despeg got acquisition we did for two billion dollars

0:27:48.280 --> 0:27:52.920
<v Speaker 9>a few months ago. In India, we are making many

0:27:53.000 --> 0:27:55.919
<v Speaker 9>investments that are growing faster through AI. For example, today

0:27:55.960 --> 0:27:59.240
<v Speaker 9>we announced the investment in the biggest mobility player in India.

0:27:59.600 --> 0:28:03.840
<v Speaker 9>And Europe, we are really investing to develop technology innovation.

0:28:04.000 --> 0:28:04.439
<v Speaker 2>In Europe.

0:28:04.680 --> 0:28:07.680
<v Speaker 9>We did the Just Takeaway acquisition there just form five

0:28:07.760 --> 0:28:11.000
<v Speaker 9>months ago. It was approved by European Commission in five months,

0:28:11.040 --> 0:28:12.919
<v Speaker 9>what is like a record time. We are very excited

0:28:12.920 --> 0:28:15.960
<v Speaker 9>about that. That's what Europe needs to move faster, to

0:28:16.040 --> 0:28:19.000
<v Speaker 9>take more riskily to create local champions. We expected to

0:28:19.119 --> 0:28:22.480
<v Speaker 9>close this offering in one week next Wednesday, actually, and

0:28:22.600 --> 0:28:24.159
<v Speaker 9>this is just the first step. We are going to

0:28:24.280 --> 0:28:28.720
<v Speaker 9>keep investing harder in Europe. We are announcing we launching

0:28:28.800 --> 0:28:31.480
<v Speaker 9>next week the AI House Amsterdam, where we have hundreds

0:28:31.520 --> 0:28:35.040
<v Speaker 9>of people together IFEW universities and other companies developing local

0:28:35.160 --> 0:28:38.880
<v Speaker 9>models in Amsterdam in the Netherlands because we need players

0:28:38.920 --> 0:28:42.800
<v Speaker 9>investing really hard there. I'm quite confident with the level

0:28:42.840 --> 0:28:45.040
<v Speaker 9>of scale that we have with thirch thousand people, the

0:28:45.120 --> 0:28:48.880
<v Speaker 9>level of investment in these ruptive AI models will we

0:28:48.920 --> 0:28:51.480
<v Speaker 9>will help Europe to position itself as a leader in

0:28:51.520 --> 0:28:51.920
<v Speaker 9>this race.

0:28:52.640 --> 0:28:54.960
<v Speaker 4>What about other areas of em and I then promo,

0:28:55.000 --> 0:28:57.600
<v Speaker 4>because you're trying to make your portfolio ever more focused,

0:28:58.120 --> 0:29:00.600
<v Speaker 4>why could you make additional add ons as interesting?

0:29:01.880 --> 0:29:04.320
<v Speaker 9>As I said, we spent seven billion the last few months.

0:29:04.360 --> 0:29:06.160
<v Speaker 9>We are going to keep spending hoping the next few

0:29:06.240 --> 0:29:10.680
<v Speaker 9>days announce another big investment in France of a money.

0:29:12.400 --> 0:29:14.440
<v Speaker 2>Yeah, just a few days.

0:29:14.640 --> 0:29:17.640
<v Speaker 9>To keep investing a lot in Europe. My commitment was

0:29:17.720 --> 0:29:20.000
<v Speaker 9>to invest up to fifteen billion dollars in Europe and

0:29:20.120 --> 0:29:23.080
<v Speaker 9>we are moving invest on this direction. I'm a little frustrated.

0:29:23.120 --> 0:29:26.200
<v Speaker 9>The European Commission also asted me to divest two billion

0:29:26.240 --> 0:29:28.920
<v Speaker 9>dollars one billion dollars before I keep investing. I think

0:29:28.960 --> 0:29:31.760
<v Speaker 9>this is the wrong mindset. Europe needs to invest ten.

0:29:31.960 --> 0:29:34.560
<v Speaker 9>I can do it by myself fifty one hundred billion dollars,

0:29:34.760 --> 0:29:36.200
<v Speaker 9>and that's what Europe needs.

0:29:36.240 --> 0:29:36.960
<v Speaker 2>Fabricy, I want to.

0:29:36.960 --> 0:29:39.479
<v Speaker 3>Hold you to account something because you said to our

0:29:39.600 --> 0:29:42.640
<v Speaker 3>US audience, don't forget Europe. When I look at what

0:29:42.760 --> 0:29:46.600
<v Speaker 3>you have done, there's been some selling down in Delivery Hero.

0:29:47.520 --> 0:29:49.600
<v Speaker 2>Also some of the Chinese made one, for example.

0:29:49.840 --> 0:29:54.560
<v Speaker 3>Yeah, so net Net, you're going to continue adding proportionately

0:29:54.680 --> 0:29:59.320
<v Speaker 3>to the European investment and taking potentially from proportionately.

0:29:59.360 --> 0:30:02.040
<v Speaker 9>We're going to invest substantially modern Europe. We have up

0:30:02.080 --> 0:30:06.320
<v Speaker 9>to fifteen billion dollars to invest in Europe. The Delivery

0:30:06.400 --> 0:30:10.240
<v Speaker 9>Hero discussion about selling now was our agreement with the

0:30:10.240 --> 0:30:13.960
<v Speaker 9>European Commission. They asked Cadaks to divest a and I

0:30:14.120 --> 0:30:16.800
<v Speaker 9>disagree with think you European Commission. We did that during

0:30:16.840 --> 0:30:20.000
<v Speaker 9>five months. We are moving fast. That's what Europe. Europe needs.

0:30:20.360 --> 0:30:22.640
<v Speaker 9>But they also said please sell a little. That's the

0:30:22.720 --> 0:30:25.960
<v Speaker 9>wrong strategy. We had to invest more fifteen billion dollars faster.

0:30:26.480 --> 0:30:28.680
<v Speaker 9>That's what I'm going to keep talking in Brussels, and

0:30:28.800 --> 0:30:31.440
<v Speaker 9>that's what I think European needs. Everyone was talking this

0:30:31.560 --> 0:30:34.680
<v Speaker 9>week about the Mario drug Report. He said Europe needs

0:30:34.720 --> 0:30:37.280
<v Speaker 9>to be more aggressive, needs to constoly date to local champions.

0:30:37.600 --> 0:30:39.800
<v Speaker 9>One year after the report, just eleven percent of the

0:30:39.920 --> 0:30:40.960
<v Speaker 9>report was implemented.

0:30:41.040 --> 0:30:41.680
<v Speaker 2>That's not enough.

0:30:42.200 --> 0:30:45.200
<v Speaker 9>But the Good News process is very committed to help collaborate,

0:30:45.280 --> 0:30:48.200
<v Speaker 9>work together. We need bigger companies invest in more infest

0:30:48.280 --> 0:30:51.320
<v Speaker 9>in Europe, specifically developing AI. So I'm quite excited. I

0:30:51.440 --> 0:30:53.680
<v Speaker 9>know many times getting TV he says it's a bubble,

0:30:53.760 --> 0:30:57.640
<v Speaker 9>it's not. I'm absolutely sure the impact in AI in

0:30:57.680 --> 0:30:59.840
<v Speaker 9>the next ten years is going to completely change.

0:31:00.000 --> 0:31:00.719
<v Speaker 2>Who are the winners.

0:31:00.840 --> 0:31:02.680
<v Speaker 9>So if you're not moving fast and the impact in

0:31:02.720 --> 0:31:06.560
<v Speaker 9>AI today in process is disruptive. We are moving faster,

0:31:06.680 --> 0:31:11.680
<v Speaker 9>We have better service for our customers, we are more efficient. Obviously,

0:31:12.000 --> 0:31:14.320
<v Speaker 9>there is lots of people investing in our lots, specifically

0:31:14.320 --> 0:31:17.480
<v Speaker 9>here in US. Obviously, lots of the complex people are

0:31:17.480 --> 0:31:19.880
<v Speaker 9>investing today. They are also going to fail. That's part

0:31:19.920 --> 0:31:21.800
<v Speaker 9>of the process. We're not going to have only winners.

0:31:21.840 --> 0:31:25.280
<v Speaker 9>We have winders and losers. We are working three times

0:31:25.360 --> 0:31:27.720
<v Speaker 9>harder in Process to make sure that we are one

0:31:27.760 --> 0:31:30.280
<v Speaker 9>of those windors, specifically in Europe and India and Latin America.

0:31:30.440 --> 0:31:32.440
<v Speaker 4>Well, let us know which there's the French winner in

0:31:32.480 --> 0:31:34.920
<v Speaker 4>the next few days. So Brisa Luisi, great to have

0:31:35.040 --> 0:31:38.320
<v Speaker 4>you back, Process CEO. Now let's turn to the efforts

0:31:38.360 --> 0:31:41.440
<v Speaker 4>to harness the power of AI. That's what Ruth poor At,

0:31:41.440 --> 0:31:44.160
<v Speaker 4>Alphabet's president and CIO, has just been discussing with Bloomberg's

0:31:44.160 --> 0:31:46.600
<v Speaker 4>franscin Laqua at the Bloomberg Global Forum a New York

0:31:46.640 --> 0:31:47.160
<v Speaker 4>take listen.

0:31:47.920 --> 0:31:50.520
<v Speaker 13>I think where we are with AI is it is

0:31:50.640 --> 0:31:54.040
<v Speaker 13>both moving really fast and really slow. And what I

0:31:54.120 --> 0:31:56.680
<v Speaker 13>mean by that is when you focus on the science,

0:31:57.440 --> 0:32:02.040
<v Speaker 13>they breakthroughs in science or breathtaking pace which we're seeing advancement.

0:32:02.560 --> 0:32:04.280
<v Speaker 13>And I think one of the best ways to think

0:32:04.280 --> 0:32:07.760
<v Speaker 13>about that is actually with my colleague Demisisabas, who runs

0:32:07.840 --> 0:32:10.840
<v Speaker 13>Google Deep Mind, and the work he did to develop

0:32:10.920 --> 0:32:14.680
<v Speaker 13>something called alpha fold, which is the three D prediction

0:32:14.760 --> 0:32:19.080
<v Speaker 13>of protein structures, which is viewed as the single greatest

0:32:19.120 --> 0:32:21.240
<v Speaker 13>contribution to drug discovery.

0:32:21.120 --> 0:32:21.920
<v Speaker 2>In our lifetime.

0:32:22.120 --> 0:32:24.440
<v Speaker 13>And he went from working on that he's been in

0:32:25.560 --> 0:32:28.840
<v Speaker 13>neuroscience and computer science, physics for his whole life. But

0:32:29.000 --> 0:32:31.880
<v Speaker 13>four years ago started on this journey to take on

0:32:32.040 --> 0:32:34.920
<v Speaker 13>what had been a fifty year grand challenge to predict

0:32:34.960 --> 0:32:38.960
<v Speaker 13>protein structure of the protein structures for all known proteins.

0:32:39.120 --> 0:32:42.400
<v Speaker 13>And in four years he went from an idea that

0:32:42.480 --> 0:32:45.000
<v Speaker 13>people challenged, is it possible? And he said why not?

0:32:45.680 --> 0:32:48.840
<v Speaker 13>To a solution which has now been open sourced. Three

0:32:48.880 --> 0:32:51.200
<v Speaker 13>million scientists around the world are using it, one hundred

0:32:51.200 --> 0:32:54.200
<v Speaker 13>and ninety countries and the Nobel Prize. That is the

0:32:54.240 --> 0:32:56.840
<v Speaker 13>speed of change, and we're seeing that across Google dep mind.

0:32:57.160 --> 0:33:00.800
<v Speaker 13>What is slow is actually the implement in both the

0:33:00.840 --> 0:33:03.960
<v Speaker 13>public and the private sector. We're still very early days.

0:33:04.320 --> 0:33:07.760
<v Speaker 13>The excitement about AI is across the board. The economic

0:33:07.960 --> 0:33:12.680
<v Speaker 13>upside for trillion potential contribution to GDP by twenty thirty

0:33:12.840 --> 0:33:16.120
<v Speaker 13>with proper application across the industry. In the public sector,

0:33:16.200 --> 0:33:19.959
<v Speaker 13>what's called the fusion, it's the better delivery of healthcare,

0:33:20.120 --> 0:33:23.920
<v Speaker 13>better delivery of education, and that is still very early days.

0:33:24.240 --> 0:33:26.719
<v Speaker 13>AI is clearly a lot more than a chatbot. It's

0:33:26.720 --> 0:33:29.520
<v Speaker 13>about a fundamental rethink of the processes that we have

0:33:30.120 --> 0:33:32.160
<v Speaker 13>and I would say for each one of us as leaders.

0:33:32.400 --> 0:33:33.640
<v Speaker 13>We need to start on that journey.

0:33:34.600 --> 0:33:37.600
<v Speaker 3>That was Alphabet President and CIO Ruth Porat from the

0:33:37.640 --> 0:33:41.840
<v Speaker 3>Bloomberg Philanthropies Global Forum earlier today. Okay, coming up, Steve Jang,

0:33:41.920 --> 0:33:44.680
<v Speaker 3>founder of Kindred Ventures, joins us for a conversation about

0:33:44.680 --> 0:33:48.240
<v Speaker 3>the opportunities all of these AI announcements create for the

0:33:48.320 --> 0:33:50.240
<v Speaker 3>private investor, for the venture capitalist.

0:33:50.280 --> 0:33:52.600
<v Speaker 2>That's coming up next. This is Bloomberg Tech.

0:33:55.200 --> 0:33:58.240
<v Speaker 3>Companies are investing hundreds of billions of dollars in AI

0:33:58.360 --> 0:33:59.000
<v Speaker 3>data centers.

0:33:59.040 --> 0:34:00.080
<v Speaker 2>We've been talking about that.

0:34:00.120 --> 0:34:03.080
<v Speaker 3>Announcements just keep coming from Ali Barber to Open Ai

0:34:03.200 --> 0:34:04.560
<v Speaker 3>and and Video on Monday. I want to get the

0:34:04.640 --> 0:34:07.480
<v Speaker 3>private market perspective on this. So Steve Jang, founder of

0:34:07.560 --> 0:34:10.680
<v Speaker 3>Kindred Ventures and early AI investor, and here with us

0:34:10.719 --> 0:34:15.160
<v Speaker 3>for VC Spotlight, and you're operating at a different level

0:34:15.600 --> 0:34:18.160
<v Speaker 3>of the curve, right, I think that's one way of

0:34:18.239 --> 0:34:22.120
<v Speaker 3>putting it. But I do want to get your reaction

0:34:22.320 --> 0:34:26.200
<v Speaker 3>to that Open AI and Video deal because it's all

0:34:26.320 --> 0:34:28.600
<v Speaker 3>of it that's happening in the market right now.

0:34:29.000 --> 0:34:31.200
<v Speaker 2>Right, And thank you for having me. It's great to

0:34:31.280 --> 0:34:31.600
<v Speaker 2>be back.

0:34:33.040 --> 0:34:37.200
<v Speaker 14>It's both surprising in scale but not surprising that it's

0:34:37.280 --> 0:34:41.759
<v Speaker 14>happening number one, I think we're undershooting or underestimating how

0:34:41.840 --> 0:34:44.640
<v Speaker 14>much compute we need for not only training, but for inference.

0:34:45.560 --> 0:34:49.640
<v Speaker 14>That growth, that growth and demand is scaling out in

0:34:49.760 --> 0:34:53.000
<v Speaker 14>every direction right now. We're seeing that across early stage

0:34:53.040 --> 0:34:55.400
<v Speaker 14>startups as well as growth stage startups.

0:34:55.040 --> 0:34:55.840
<v Speaker 2>And public companies.

0:34:56.120 --> 0:34:59.200
<v Speaker 14>So if you think about what's happening today globally, first off,

0:35:00.000 --> 0:35:03.440
<v Speaker 14>every region is now in the AI competition, the model

0:35:03.480 --> 0:35:08.280
<v Speaker 14>competition race number two. They're specialized models in video, in audio,

0:35:09.000 --> 0:35:13.160
<v Speaker 14>in voices and speech models, physics models, medical science models.

0:35:13.160 --> 0:35:14.960
<v Speaker 14>You look at what DeepMind is doing, you look at

0:35:15.280 --> 0:35:18.600
<v Speaker 14>what small startups like Sofons are doing in medical sciences,

0:35:19.800 --> 0:35:23.560
<v Speaker 14>and then you also see what's happening in particular with demand.

0:35:24.040 --> 0:35:27.839
<v Speaker 14>And so we're just moving from an experimental phase into

0:35:28.000 --> 0:35:31.760
<v Speaker 14>a commercial application phase. So everything that's happened up until

0:35:31.840 --> 0:35:35.520
<v Speaker 14>today has just been in that experimental testing phase. And

0:35:35.600 --> 0:35:38.800
<v Speaker 14>so if you think about TikTok and Instagram and YouTube

0:35:38.840 --> 0:35:42.400
<v Speaker 14>on the consumer level, there's double digit adoption right now

0:35:42.560 --> 0:35:45.719
<v Speaker 14>on creators and users. They're using AI tools. Then if

0:35:45.719 --> 0:35:49.160
<v Speaker 14>you look at enterprises in small businesses that are already

0:35:49.200 --> 0:35:52.080
<v Speaker 14>starting to use voice AI for call centers, they're using

0:35:52.120 --> 0:35:55.160
<v Speaker 14>it to write reports, they're using it for search and answers.

0:35:55.680 --> 0:35:57.680
<v Speaker 14>So we're just at the beginning, and I think every

0:35:57.800 --> 0:36:01.400
<v Speaker 14>single I look back yesterday before we came on today,

0:36:01.640 --> 0:36:04.000
<v Speaker 14>and I saw all the projections from a year ago,

0:36:04.680 --> 0:36:07.680
<v Speaker 14>and we're already surpassing that by ten x today. The

0:36:07.840 --> 0:36:09.200
<v Speaker 14>inference demand alone.

0:36:09.200 --> 0:36:11.520
<v Speaker 4>Steve, the reason we come to you is because the

0:36:11.600 --> 0:36:14.399
<v Speaker 4>prowess of the bets you've already met. And we think

0:36:14.440 --> 0:36:17.920
<v Speaker 4>about perplexity, and we think about PLAYII. How do you ensure,

0:36:17.960 --> 0:36:19.880
<v Speaker 4>Steve that you're not part of what some are starting

0:36:19.880 --> 0:36:21.560
<v Speaker 4>to feel as like a house of cards of everyone

0:36:21.600 --> 0:36:24.120
<v Speaker 4>giving money to the same sort of players. And ultimately,

0:36:24.200 --> 0:36:28.480
<v Speaker 4>if the productivity doesn't achieve, if the money doesn't achieve,

0:36:28.800 --> 0:36:30.960
<v Speaker 4>then suddenly we start to see some real holes.

0:36:32.680 --> 0:36:35.200
<v Speaker 14>I think what's important here is that you do see

0:36:35.239 --> 0:36:37.600
<v Speaker 14>the demand, and you do see the uptake. Commercially, you

0:36:37.680 --> 0:36:41.120
<v Speaker 14>see revenues, you see adoption, you see usage. I'll give

0:36:41.120 --> 0:36:43.920
<v Speaker 14>you an example of this. So today, in terms of

0:36:44.000 --> 0:36:47.839
<v Speaker 14>generative media, generative video is relatively new, well, let's say

0:36:47.840 --> 0:36:50.919
<v Speaker 14>it's about a year and a half old. Google byt

0:36:51.000 --> 0:36:54.000
<v Speaker 14>Dance and many other small startups are providing these models.

0:36:54.280 --> 0:36:57.480
<v Speaker 14>The compute just for that which is showing up on YouTube,

0:36:57.480 --> 0:37:00.680
<v Speaker 14>which is showing up in video ads, is now showing

0:37:00.800 --> 0:37:06.000
<v Speaker 14>up through Creatify on Comcast and Universal Channel. Video ads

0:37:06.040 --> 0:37:09.960
<v Speaker 14>now is making real money. It's making real CPMs for

0:37:10.239 --> 0:37:10.880
<v Speaker 14>real brands.

0:37:11.040 --> 0:37:12.600
<v Speaker 2>And so as long as.

0:37:12.520 --> 0:37:16.279
<v Speaker 14>There is economic productivity on the demand side, that's why

0:37:16.400 --> 0:37:20.200
<v Speaker 14>you're seeing all this scaling of cost of investment in GPUs,

0:37:20.360 --> 0:37:23.480
<v Speaker 14>data centers and energy, and you see these long term contracts.

0:37:23.520 --> 0:37:27.200
<v Speaker 14>One hundred billion dollars was an amazing size for a

0:37:27.239 --> 0:37:31.080
<v Speaker 14>Softbaing Vision fund five years ago, and today that's just

0:37:31.200 --> 0:37:33.880
<v Speaker 14>one company making an investment for a round trip commercial.

0:37:34.080 --> 0:37:35.879
<v Speaker 3>Steve, you're in the green room right when from riz

0:37:36.320 --> 0:37:38.640
<v Speaker 3>Borisi was sat in that chair and he talks about

0:37:38.640 --> 0:37:41.560
<v Speaker 3>the bubble in the context that like, well, that's normal

0:37:41.840 --> 0:37:45.279
<v Speaker 3>part of the game, some failures, you'd need to find successes.

0:37:45.840 --> 0:37:47.880
<v Speaker 2>Do you do you think about it in those terms, in.

0:37:47.960 --> 0:37:51.200
<v Speaker 3>The context of there's such a capital concentration in these

0:37:51.280 --> 0:37:52.400
<v Speaker 3>few names, there's.

0:37:52.200 --> 0:37:55.120
<v Speaker 14>Always going to be an urbcharge between the current demand

0:37:55.280 --> 0:37:59.400
<v Speaker 14>and economic productivity revenue, right and the investment capital and

0:37:59.480 --> 0:38:03.440
<v Speaker 14>the timeline in between. Bubbles are necessary for a collection

0:38:03.600 --> 0:38:08.440
<v Speaker 14>and hyper focus of talent engineering, talent, research, talent building

0:38:08.520 --> 0:38:11.600
<v Speaker 14>talent as well as capital, and that's what creates that

0:38:11.960 --> 0:38:13.880
<v Speaker 14>enormous growth and velocity in any.

0:38:13.800 --> 0:38:16.360
<v Speaker 2>Sort of tech cycle. We saw this every tech cycle.

0:38:16.880 --> 0:38:19.240
<v Speaker 14>This tech cycle is very different because there's real revenue

0:38:19.239 --> 0:38:24.319
<v Speaker 14>and commercial application happening. So again look at GPUs as

0:38:25.000 --> 0:38:27.359
<v Speaker 14>just one part of this. Energy is the other part.

0:38:27.640 --> 0:38:30.280
<v Speaker 14>Data center space is the other. Then there's a software

0:38:30.320 --> 0:38:33.719
<v Speaker 14>infrastructure layer there, so called middleware, which is a bad

0:38:33.800 --> 0:38:36.640
<v Speaker 14>word in the last tech cycle, but is actually where

0:38:36.800 --> 0:38:40.120
<v Speaker 14>value capture and differentiation happens now, and so this is

0:38:40.120 --> 0:38:43.000
<v Speaker 14>really important. You see companies like together Ai, you see

0:38:43.040 --> 0:38:46.399
<v Speaker 14>companies like foul and the generative media cloud space, these

0:38:46.480 --> 0:38:49.520
<v Speaker 14>companies and core Weave a core Weave is a company

0:38:49.560 --> 0:38:53.000
<v Speaker 14>that started out as bitcoin a data mining data center.

0:38:53.080 --> 0:38:54.480
<v Speaker 4>Steve, can I go to that? Can I go to

0:38:54.520 --> 0:38:57.600
<v Speaker 4>crypto because we're talking about a potential bubble and I

0:38:57.719 --> 0:38:59.440
<v Speaker 4>know that you've got a lot of experience in crypto.

0:38:59.480 --> 0:39:03.000
<v Speaker 4>I'm looking at Tether potentially looking at funding with evaluation

0:39:03.120 --> 0:39:07.120
<v Speaker 4>of five hundred billion dollars. Is that a bubble sign

0:39:07.160 --> 0:39:07.960
<v Speaker 4>to you or not?

0:39:11.040 --> 0:39:15.760
<v Speaker 14>The sale coins right now and crypto, there's an interesting

0:39:15.800 --> 0:39:18.560
<v Speaker 14>thing happening right now where fintech as we knew it,

0:39:18.800 --> 0:39:23.360
<v Speaker 14>global payments, infrastructure companies like Stripe and many other companies

0:39:23.560 --> 0:39:26.800
<v Speaker 14>fragmented around the world. In FX, it's getting slowly transformed

0:39:26.800 --> 0:39:30.960
<v Speaker 14>by crypto, especially stable coins. We don't It is again

0:39:31.480 --> 0:39:34.680
<v Speaker 14>very easy to underestimate this. I think it's harder to

0:39:35.120 --> 0:39:36.879
<v Speaker 14>really look at the frontier edge and say how big

0:39:36.960 --> 0:39:39.440
<v Speaker 14>could this be? But you see the US government and

0:39:39.520 --> 0:39:43.120
<v Speaker 14>many other foreign governments. This is an area unlike AI

0:39:43.719 --> 0:39:47.120
<v Speaker 14>where there isn't a concept of sovereign crypto. In AI,

0:39:47.239 --> 0:39:51.800
<v Speaker 14>we have sovereign AI, and there's a competition in crypto. Interestingly,

0:39:51.920 --> 0:39:55.239
<v Speaker 14>there's much more of a cross border collaboration that wants

0:39:55.280 --> 0:39:56.279
<v Speaker 14>to be on blockchains.

0:39:56.719 --> 0:39:58.640
<v Speaker 2>This is obviously very recent.

0:39:58.440 --> 0:40:02.440
<v Speaker 14>In terms of government push with administration, but underlying that

0:40:02.600 --> 0:40:06.080
<v Speaker 14>is still compute. Same data centers that are providing AI

0:40:06.239 --> 0:40:10.040
<v Speaker 14>compute high performance compute are also supplying it for crypto.

0:40:10.640 --> 0:40:14.480
<v Speaker 4>So fascinating. Steve Jang, managing partner and founder of Kind Adventures.

0:40:14.440 --> 0:40:15.880
<v Speaker 1>Giving us the full picture.

0:40:17.239 --> 0:40:20.479
<v Speaker 4>Social media app Instagram is proving more popular than Heffer,

0:40:20.680 --> 0:40:24.160
<v Speaker 4>whiching three billion monthly users. This is parent company Meta

0:40:24.200 --> 0:40:26.560
<v Speaker 4>looks to short form videos and private messaging to really

0:40:26.600 --> 0:40:29.160
<v Speaker 4>drive the growth for more Blue mos kak Wagnan joins us,

0:40:29.360 --> 0:40:32.120
<v Speaker 4>You've had a really interesting conversation with Anamisari. What did

0:40:32.160 --> 0:40:34.240
<v Speaker 4>you detail about the forward path for Instagram?

0:40:34.480 --> 0:40:37.080
<v Speaker 15>Yeah, the big thing for me that I took away

0:40:37.160 --> 0:40:39.880
<v Speaker 15>is that they're leaning into these products that have not

0:40:40.040 --> 0:40:43.000
<v Speaker 15>necessarily been historically how you think of Instagram be doing

0:40:43.040 --> 0:40:47.040
<v Speaker 15>these glossy life moments, the traditional feed. They're leaning into dms,

0:40:47.360 --> 0:40:50.520
<v Speaker 15>leaning into real stories, things like that. So Instagram has

0:40:50.640 --> 0:40:53.920
<v Speaker 15>changed a lot since twenty ten and the three billion

0:40:54.280 --> 0:40:55.520
<v Speaker 15>they're leaning into that change.

0:40:55.560 --> 0:40:59.000
<v Speaker 3>I think part of the discussion was about testing and

0:40:59.120 --> 0:41:00.400
<v Speaker 3>changes to the al rhythm.

0:41:00.760 --> 0:41:01.479
<v Speaker 2>What are they doing.

0:41:01.920 --> 0:41:04.880
<v Speaker 15>They're going to let people essentially pick the topics they

0:41:04.920 --> 0:41:06.920
<v Speaker 15>want to see more of, so be more explicit in

0:41:07.080 --> 0:41:09.279
<v Speaker 15>the things that they're hoping to see. You know, you

0:41:09.320 --> 0:41:12.200
<v Speaker 15>can pick your favorite sports team, you can go very granular.

0:41:12.480 --> 0:41:14.200
<v Speaker 15>And they say they're able to do this because of

0:41:14.280 --> 0:41:17.879
<v Speaker 15>the advancements in AI. They're able to read videos with AI,

0:41:18.000 --> 0:41:21.440
<v Speaker 15>determine exactly what's in them, and then feed that to you. Historically, ed,

0:41:21.560 --> 0:41:23.719
<v Speaker 15>you know, it's been more implicit, like they will look

0:41:23.719 --> 0:41:25.560
<v Speaker 15>at your behavior and try and guess what you like,

0:41:25.880 --> 0:41:27.600
<v Speaker 15>they're going to run this test where people can be

0:41:27.880 --> 0:41:30.359
<v Speaker 15>a lot more specific about what they want to see

0:41:30.600 --> 0:41:32.759
<v Speaker 15>and hopefully change their algorithm to show that.

0:41:33.000 --> 0:41:36.120
<v Speaker 4>And also interesting where they're testing that and which parts

0:41:36.160 --> 0:41:37.680
<v Speaker 4>of the globe they really want to penetrate.

0:41:37.840 --> 0:41:39.719
<v Speaker 15>Yeah, so the algorithm test is going to be in

0:41:39.760 --> 0:41:43.040
<v Speaker 15>several different markets. They are doing a test in India

0:41:43.120 --> 0:41:45.759
<v Speaker 15>specifically around reels, where they're going to open the app

0:41:45.960 --> 0:41:48.239
<v Speaker 15>into reels, so instead of opening into that main feed,

0:41:48.480 --> 0:41:50.680
<v Speaker 15>you're not going to get basically TikTok.

0:41:50.280 --> 0:41:51.360
<v Speaker 2>When you open Instagram.

0:41:51.840 --> 0:41:53.839
<v Speaker 15>And I was going to say, and there's a reason

0:41:53.840 --> 0:41:56.160
<v Speaker 15>they're doing it in India because TikTok is banned in India, right,

0:41:56.200 --> 0:41:57.759
<v Speaker 15>So this is a great opportunity for them to kind

0:41:57.760 --> 0:42:00.520
<v Speaker 15>of take advantage of the fact that a core editor.

0:42:00.440 --> 0:42:01.360
<v Speaker 2>Is not in that market.

0:42:02.520 --> 0:42:04.840
<v Speaker 3>Bloomberg's cut Wagner, it's a kind of must read a

0:42:04.960 --> 0:42:07.839
<v Speaker 3>base on an interview. Massari, who heads up Instagram, really

0:42:07.880 --> 0:42:09.800
<v Speaker 3>appreciate you joining the show on it. That does it

0:42:10.239 --> 0:42:11.960
<v Speaker 3>for this edition of Bloomberg.

0:42:11.600 --> 0:42:13.799
<v Speaker 4>Tech Character you do not want to forget to check

0:42:13.840 --> 0:42:15.960
<v Speaker 4>out our podcast. There is so much debate out there

0:42:16.040 --> 0:42:16.640
<v Speaker 4>around AI.

0:42:16.960 --> 0:42:17.800
<v Speaker 2>Stick with us for it.

0:42:17.920 --> 0:42:20.200
<v Speaker 4>You can find on the terminal, so it's online on Apple,

0:42:20.320 --> 0:42:23.360
<v Speaker 4>Spotify and iHeart. What an incredible time to keep on

0:42:23.480 --> 0:42:25.480
<v Speaker 4>telling these stories. This is Bloomberg Tech.