WEBVTT - Tech Stocks Under Pressure As Iran War Drags On

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

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

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<v Speaker 1>and Edla Lolow in San Francisco.

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

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<v Speaker 3>Tech socks fowards oil prices spike again, stoking fears the

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<v Speaker 3>war in Iran will further crimp energy supplies a fuel inflation.

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<v Speaker 4>Plus, we hear from Michael Dell and the US Energy

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<v Speaker 4>Department Under Secretary for Science about Dell's work with the

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<v Speaker 4>federal government on Ai.

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<v Speaker 3>And new details emerged on Apple's entry into the foldable

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<v Speaker 3>phone category.

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<v Speaker 2>We'll break it down key headlines.

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<v Speaker 3>Iran Supreme Leader has called for the strait of hermuz

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<v Speaker 3>to remain closed and warn that new fronts may be

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<v Speaker 3>opened if the war persists.

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<v Speaker 2>Here with the latest in.

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<v Speaker 3>The Middle East is Bloomberg Jermana Vissecchi live from Dubai.

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<v Speaker 3>And you know those are the two red headlines on

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<v Speaker 3>the terminal, right, the latest in public address from Iran

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<v Speaker 3>Supreme Leader that start there.

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<v Speaker 2>But conscious of course.

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<v Speaker 3>That in real time drone attacks continue across the region,

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<v Speaker 3>including where.

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<v Speaker 5>You are exactly that ed and it is day thirteen

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<v Speaker 5>now of the Iran war with no signs really that

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<v Speaker 5>things are letting up. And you know, as you can see,

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<v Speaker 5>we have actually started working from home today. Many institutions

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<v Speaker 5>around Dubai have actually advised their employees to be working

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<v Speaker 5>from home out of precaution. There hasn't been a formal

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<v Speaker 5>evacuation notice issued, but I think what has happened in

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<v Speaker 5>the last twenty four hours is the intensity of the

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<v Speaker 5>strikes has really taken on a different dimension. And what

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<v Speaker 5>you're seeing here is, you know, the UEE has been

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<v Speaker 5>extremely successful at intercepting many of the projectiles that have

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<v Speaker 5>been headed towards them. Out of all of the projectiles

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<v Speaker 5>that Iran have fired, about two thirds have been directed

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<v Speaker 5>towards the UAE alone, just to give you an idea

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<v Speaker 5>here of Kant. But that's not to say that some

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<v Speaker 5>of the fallen debris isn't causing damage on residential buildings,

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<v Speaker 5>which is exactly the situation that we're in. So out

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<v Speaker 5>of an abundance of precaution, we are, of course broadcasting

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<v Speaker 5>for home. But I will tell you that the tone

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<v Speaker 5>still coming out of Iran is one of defiance. We

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<v Speaker 5>had the first statement a couple of hours ago coming

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<v Speaker 5>through from the new Supreme Leader, the son of the

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<v Speaker 5>prior Supreme Leader, and he was saying that they will

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<v Speaker 5>maintain the closure of the Straits of Hormos. They are

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<v Speaker 5>very aware of the cost that this is inflicted on

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<v Speaker 5>the global economy and global energy infrastructure, and they've also

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<v Speaker 5>warned that new fronts could open up and that they

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<v Speaker 5>will continue to strike on US acids. This coming after

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<v Speaker 5>a very intense twenty four hours of more vessels being

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<v Speaker 5>targeted around the Persian Gulf, more fuel depots also being

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<v Speaker 5>hit set a flame. We've had disruption and oil supply

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<v Speaker 5>and analysts essmates vary, but any way you look at it,

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<v Speaker 5>as long as the straits mains closed, what you're going

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<v Speaker 5>to continue to see is this upward push on the

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<v Speaker 5>price of oil.

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<v Speaker 4>And Jamana I can only imagine the stress that's putting

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<v Speaker 4>you on and all of your colleagues, your family at

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<v Speaker 4>the moment to all to us them a little bit

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<v Speaker 4>about what you think the impact is written large on

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<v Speaker 4>your part of the world. The UAE not an oil force,

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<v Speaker 4>it is a financial force. But how do you think

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<v Speaker 4>that this focus on all prices as well is changing

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<v Speaker 4>the tone in the Middle East?

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<v Speaker 5>Well, Ue obviously some very notable OPEC producer and so

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<v Speaker 5>you know there are two dimensions to this.

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<v Speaker 2>Of course, the focus.

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<v Speaker 5>From an economic perspective is maintaining the flow of oil

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<v Speaker 5>and ensuring that production doesn't get permanently halted or disrupted.

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<v Speaker 5>What has happened is some of the key OPEC producers

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<v Speaker 5>from the region, the likes of Saudi Arabia, Kuwait, iraq Uee,

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<v Speaker 5>have had to manage their production levels simply because they

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<v Speaker 5>don't have any capacity left in their store. They're looking

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<v Speaker 5>for other ways to get that oil out. You've probably

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<v Speaker 5>heard about this East West pipeline in Saudi Arabia that

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<v Speaker 5>Saudi Arabia are leaning on as well. In the UAE,

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<v Speaker 5>there's also Fugera, a pipeline that bypasses the straits as

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<v Speaker 5>options to get the oil out.

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<v Speaker 2>But beyond the oils dimensioned.

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<v Speaker 5>As you say, look these are this is a part

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<v Speaker 5>of the world that has spent decades painting this image

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<v Speaker 5>of a place where financial the financial ecosystem constructure. They've

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<v Speaker 5>created the whole ecosystem around it to bring in capital

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<v Speaker 5>and to bring an investment from abroad. And you even

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<v Speaker 5>saw it when President Trump made a visit almost a

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<v Speaker 5>year ago to this part of the world talking about

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<v Speaker 5>the investments and the opportunities in terms of artificial intelligence

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<v Speaker 5>and the diversification strategies that these economies are pursuing. At

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<v Speaker 5>risk here is that these projects are being severely tested

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<v Speaker 5>by and undermined by the geopolitical developments with really no

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<v Speaker 5>end in sights. And of course this is the reason

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<v Speaker 5>why GCC states have been one for ages trying to

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<v Speaker 5>avoid the scenario and two actively trying to work the

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<v Speaker 5>diplomatic channels to make it stop.

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<v Speaker 4>Emos Jamana Vissecci, We so appreciate you coming live for

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<v Speaker 4>us from Dubai. Stay safe, Thank you. Now look. A

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<v Speaker 4>pro Iranian digital activist group Handala, has claimed credit for

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<v Speaker 4>a cyber attack against medical technology making a Striker Now.

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<v Speaker 4>The attack crippled the company's global operations, with many Striker

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<v Speaker 4>employees around the world unable to work due to the

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<v Speaker 4>breach so all. According to a source and a memoc

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<v Speaker 4>by blombag News, Striker is still investigating the breach and

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<v Speaker 4>doesn't know when its systems will be back online. Joining

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<v Speaker 4>us now are the details? Is bloombag to Patrick Howell

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<v Speaker 4>O'Neil from our cybersecurity team. And it's actually not the

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<v Speaker 4>company Striker that's telling us it's an Iranian impact cyber hack.

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<v Speaker 4>It's Iran itself. How do we know that Striker is

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<v Speaker 4>dealing with this?

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<v Speaker 6>So yesterday a little bit after midnight Eastern time, computers

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<v Speaker 6>began to turn off and strike your offices around the world.

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<v Speaker 6>It was a bit of a frantic scene. Employees trying

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<v Speaker 6>to once they realized what was going on, unplugged the

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<v Speaker 6>computers to save the data, and it interrupted operations around

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<v Speaker 6>the world for the company.

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<v Speaker 2>Employees were sent home. I mean, it was a full stop.

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<v Speaker 6>Data was wiped on the computers and even on phones

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<v Speaker 6>and devices, even personal devices for employees that had you know,

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<v Speaker 6>corporate software on their computers, on their phones rather and

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<v Speaker 6>then Hondala posted taking credit for the attack and saying

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<v Speaker 6>it was in response to a suspected US strike of

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<v Speaker 6>an Iranian school and has said that.

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<v Speaker 7>They have a ton of data.

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<v Speaker 6>But Striker is it appears really recovering and getting back

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<v Speaker 6>on its feet.

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<v Speaker 2>Patrick, this is a case study.

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<v Speaker 3>Right Handala is a pro ranean distractivist group. What can

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<v Speaker 3>you tell us about Iran's broadest strategy cyber strategy? In

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<v Speaker 3>response to what the United States has thus far enacted

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<v Speaker 3>in the region.

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<v Speaker 6>When you think about Iran's cyber strategy, you can easily

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<v Speaker 6>put it into the context of iran strategy overall in

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<v Speaker 6>this war, which is that it's defined by asymmetry. I mean,

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<v Speaker 6>you can think about drones, missiles, the kinetic space for sure,

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<v Speaker 6>and the cyberspaces just like that. They are looking ways,

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<v Speaker 6>looking for ways to impose cost on Israel, on the

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<v Speaker 6>US and on partners of those countries, and so there

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<v Speaker 6>are opportunistically looking for companies with connections, companies that will

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<v Speaker 6>make usplash. There's a big propaganda value for doing things

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<v Speaker 6>like this.

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<v Speaker 2>What the actual.

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<v Speaker 6>Impact is economically, The long term impact of this company

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<v Speaker 6>is to be determined, but it's a major propaganda win

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<v Speaker 6>for Iran, and you can expect continued opportunistic attacks like

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<v Speaker 6>this from the country.

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<v Speaker 3>Bloomberg's Patrick how O'Neil, thank you very much. The conflict

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<v Speaker 3>in Iran and across the Middle East continues to bring

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<v Speaker 3>investor attention back to defense technology. Joining us to discuss

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<v Speaker 3>is Lauren Webster Piper Sandler, Managing director of Investment Banking.

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<v Speaker 2>And that's your expertise.

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<v Speaker 3>It's not just cyber But I look at the Bloomberg

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<v Speaker 3>terminal every morning for the last couple of weeks, and

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<v Speaker 3>the stories that are up there in the realm of

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<v Speaker 3>tech are to do with defense technology. Must have the

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<v Speaker 3>same conversation with clients on a data.

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<v Speaker 8>Basis, absolutely, And I think there's a couple of thematics

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<v Speaker 8>that are really driving investor interest in the category. And

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<v Speaker 8>it certainly started before the current conflict.

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<v Speaker 9>One was this push across.

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<v Speaker 8>The West US, Canada, Europe for sort of sovereign reindustrialization

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<v Speaker 8>of their defense space. A lot of investment pouring into

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<v Speaker 8>we want to buy what we build in our borders. Two,

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<v Speaker 8>more recently, the rotation out of the software sector. The

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<v Speaker 8>sell doun on AI concerns that money hasn't just sat

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<v Speaker 8>on the sidelines, it's been plowing into industrial space is

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<v Speaker 8>like defense technology. And then third third, the current conflict

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<v Speaker 8>is certainly bringing kind of a microscope to the space

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<v Speaker 8>and really getting investor interests there.

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<v Speaker 3>In a war scenario, it's hard to determine what actually

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<v Speaker 3>has changed. Right, One of the data sets we track

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<v Speaker 3>is non classified or declassified dollars that go to the

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<v Speaker 3>legacy for ballistics, right, and they go to the same players,

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<v Speaker 3>the vast majority still to Lockheed, etc. Are you seeing

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<v Speaker 3>actually this new group of largely private companies get real

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<v Speaker 3>tangible traction in this environment.

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<v Speaker 9>Yeah, yeah, certainly.

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<v Speaker 8>And there's a couple pockets that really plug into the

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<v Speaker 8>ballistics space. And you're right, like, we have a huge

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<v Speaker 8>resupply requirement there after expending so many in the current conflict.

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<v Speaker 9>But one is in sort of the launch capability, and.

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<v Speaker 8>There's a lot of investor interest going into particularly private

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<v Speaker 8>companies to be able to fuel the launch capability for

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<v Speaker 8>those ballistics ammunitions. So that's one pocket. The other one

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<v Speaker 8>is actually kind of the picks and shovels around the industry.

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<v Speaker 8>We have a whole manufacturing base we need to reconstitute

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<v Speaker 8>here in Europe saying the same thing, we need to

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<v Speaker 8>have our supply chain within our borders, and so it's

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<v Speaker 8>not just ship subs ballistics, but it is the supply

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<v Speaker 8>chain around that entirely.

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<v Speaker 4>Go a little bit learn not just in defense tech,

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<v Speaker 4>but we think about cybersecurity at this moment as well.

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<v Speaker 4>We were just hearing about what's happened with Stryker. How

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<v Speaker 4>much is that a point of interest? How much of

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<v Speaker 4>people willing to take on what has been some software

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<v Speaker 4>anxiety around that area.

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<v Speaker 8>Yeah, yeah, absolutely, so, I think I think you're right

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<v Speaker 8>around sort of the interest and where it was, particularly

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<v Speaker 8>in the SaaS sell off.

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<v Speaker 9>I mentioned previously.

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<v Speaker 8>Cybersecurity was not immune to the sell down, but we

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<v Speaker 8>see it. I see it as somewhat overblown for a

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<v Speaker 8>few reasons. One is, companies like Strike or others, they

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<v Speaker 8>know the threat is still very real in there, and

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<v Speaker 8>they need effective cybersecurity tooling. So efficacy is super important

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<v Speaker 8>and a lot of the AI solutions are just starting

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<v Speaker 8>to get there. Two is cybersecurity is actually going to

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<v Speaker 8>continue to be a place that wins. It's a beneficiary

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<v Speaker 8>from plugging AI capabilities into it, and so I think

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<v Speaker 8>you're going to see cybersecurity companies continue to do quite well.

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<v Speaker 8>They've done better than the broader software market given both

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<v Speaker 8>the threat and the opportunity from some of the new

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<v Speaker 8>AI technology learn not that.

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<v Speaker 4>Any of that set themselves apart that have managed a

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<v Speaker 4>sell themselves as a platform, not some sort of single

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<v Speaker 4>point of service, but well broadly have intertwined gender to

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<v Speaker 4>AI ahead of the curve.

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<v Speaker 8>Yeah, you certainly saw last week Crowdstrikes earnings come out

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<v Speaker 8>and just really strong performance from the business around this

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<v Speaker 8>platform story. Look, it has end points, millions of endpoints,

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<v Speaker 8>billions of endpoints that it is monitoring, and that is

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<v Speaker 8>a data.

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<v Speaker 9>Mote in the AI in the AI era. Second, they

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<v Speaker 9>are using AI to really drive.

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<v Speaker 8>Security outcomes for their customers, So you saw that bright

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<v Speaker 8>spot in their earnings for sure.

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<v Speaker 2>What are you modeling for to happen in the duration

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<v Speaker 2>of this conflict? What you are as a team discussing.

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<v Speaker 3>Through the lens of different asset prices and how long

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<v Speaker 3>you think, particularly the volatility in oil, Right, that's the

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<v Speaker 3>end opinning of what's going on. But the simple question

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<v Speaker 3>is having anything it's kind of lost.

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<v Speaker 9>Yeah, I wish I had a crystal ball for that.

0:12:05.679 --> 0:12:08.480
<v Speaker 8>But certainly you know there's going to be near term disruption.

0:12:08.559 --> 0:12:11.640
<v Speaker 8>We have seen multiple points of that this year, first

0:12:11.640 --> 0:12:13.520
<v Speaker 8>the AI sell off.

0:12:13.320 --> 0:12:15.080
<v Speaker 9>In the market, now the conflict.

0:12:15.360 --> 0:12:19.319
<v Speaker 8>But I think long term, we see a few opportunities

0:12:19.400 --> 0:12:22.160
<v Speaker 8>with a significant growth outlook, and those continue to be

0:12:22.240 --> 0:12:26.680
<v Speaker 8>defense technology going from largely private to public over time,

0:12:26.720 --> 0:12:31.240
<v Speaker 8>and we're really excited about that and we will see yeah, certainly,

0:12:32.040 --> 0:12:35.880
<v Speaker 8>but in cybersecurity, we expect to see a bounce back

0:12:35.920 --> 0:12:37.480
<v Speaker 8>to as well on Webster.

0:12:37.640 --> 0:12:40.000
<v Speaker 4>It's been great having you on today of Pipistana. Thank

0:12:40.040 --> 0:12:43.760
<v Speaker 4>you for your time. Coming up, another eye popping valuation

0:12:43.960 --> 0:12:46.199
<v Speaker 4>in the AI boom, but going to that private market

0:12:46.240 --> 0:12:49.440
<v Speaker 4>we just discussed Cursor could nearly double its worth to

0:12:49.520 --> 0:12:52.720
<v Speaker 4>fifty billion dollars. That conversation next, this is pretty bad tech.

0:13:05.880 --> 0:13:08.600
<v Speaker 3>Cursor is reportedly in talks and a new funding round

0:13:08.600 --> 0:13:11.439
<v Speaker 3>that would value the company at around fifty billion dollars,

0:13:11.480 --> 0:13:14.480
<v Speaker 3>nearly double its valuation from just last fall, all according

0:13:14.480 --> 0:13:17.439
<v Speaker 3>to sources. So the latest Bloomersons hash Mascaranas broke the

0:13:17.480 --> 0:13:19.920
<v Speaker 3>story with the team, there's a lot of interesting Cursor.

0:13:19.960 --> 0:13:22.640
<v Speaker 3>There has been for quite some time. They've moved quickly,

0:13:22.679 --> 0:13:25.120
<v Speaker 3>grown the product. But this is a big jump in valuation.

0:13:25.480 --> 0:13:27.520
<v Speaker 3>What are the details on the round? Who are the players?

0:13:27.679 --> 0:13:27.839
<v Speaker 2>Yeah?

0:13:27.920 --> 0:13:28.760
<v Speaker 9>Absolutely so.

0:13:28.920 --> 0:13:32.160
<v Speaker 10>Earlier this month we reported that Cursor has topped two

0:13:32.160 --> 0:13:36.040
<v Speaker 10>billion an annualized revenue. That's up from around one hundred

0:13:36.080 --> 0:13:38.800
<v Speaker 10>million in annualized revenue at this time last year. So

0:13:38.880 --> 0:13:41.959
<v Speaker 10>the revenue growth has just been insane, which is basically

0:13:42.040 --> 0:13:45.880
<v Speaker 10>investor catnip in this industry. We've also been watching Cursor

0:13:45.960 --> 0:13:49.440
<v Speaker 10>focus on more in house model efforts, which I would

0:13:49.520 --> 0:13:51.360
<v Speaker 10>expect is a big part of why they need to

0:13:51.480 --> 0:13:54.360
<v Speaker 10>raise new capitals so soon after their last round closed

0:13:54.440 --> 0:13:56.560
<v Speaker 10>just a few months ago. You know, we don't know

0:13:56.600 --> 0:13:59.520
<v Speaker 10>the lead investors just yet, but we do know. I mean,

0:13:59.600 --> 0:14:02.720
<v Speaker 10>just looking at the market, so many companies are hitting

0:14:02.760 --> 0:14:06.320
<v Speaker 10>revenue milestones or even new funding milestones. With yesterday Replet

0:14:06.600 --> 0:14:08.880
<v Speaker 10>announcing that they had raised at nine billion and.

0:14:08.920 --> 0:14:11.160
<v Speaker 4>Natasha, I mean, we've got the reput CEO joining us

0:14:11.200 --> 0:14:13.520
<v Speaker 4>a little late in the show, and it just feels

0:14:13.520 --> 0:14:16.559
<v Speaker 4>that all of these companies are able to thrive simultaneously.

0:14:16.600 --> 0:14:19.040
<v Speaker 4>The fact that all we talk about is Anthropic and

0:14:19.080 --> 0:14:22.040
<v Speaker 4>it's cowork and it's coding a bit capabilities open a

0:14:22.120 --> 0:14:23.720
<v Speaker 4>eyes as well, but still this space.

0:14:23.560 --> 0:14:25.720
<v Speaker 9>For Cursor, Yeah, absolutely.

0:14:25.760 --> 0:14:27.920
<v Speaker 10>I mean it's it's a little bit of a cliche

0:14:27.920 --> 0:14:30.440
<v Speaker 10>that it's not a winner takes all market, because at

0:14:30.440 --> 0:14:32.720
<v Speaker 10>some point it does dip over into it. I mean,

0:14:33.000 --> 0:14:36.040
<v Speaker 10>when Cursor launched its product in twenty twenty three, in

0:14:36.120 --> 0:14:39.560
<v Speaker 10>developers eyes, all the big names of AI were missing.

0:14:39.640 --> 0:14:43.000
<v Speaker 10>Open Ai didn't have a product, Anthropic didn't have a product.

0:14:43.000 --> 0:14:46.040
<v Speaker 10>They were the model layer helping these companies, but once

0:14:46.080 --> 0:14:49.840
<v Speaker 10>they saw Cursor's growth, you know, and other growth. We

0:14:50.040 --> 0:14:54.000
<v Speaker 10>absolutely saw them put more efforts into their own products.

0:14:54.440 --> 0:14:56.840
<v Speaker 10>My expectation is this year, similar to last year, we

0:14:56.840 --> 0:14:59.640
<v Speaker 10>will see consolidation in this space. Last year we saw

0:14:59.640 --> 0:15:03.480
<v Speaker 10>windsor or of a smaller company get acquired by Cognition.

0:15:03.680 --> 0:15:06.360
<v Speaker 10>I am watching the same thing this year because to

0:15:06.400 --> 0:15:09.200
<v Speaker 10>your point, despite the immense growth, there are just so

0:15:09.240 --> 0:15:09.920
<v Speaker 10>many players.

0:15:10.320 --> 0:15:12.360
<v Speaker 3>You know, see a lot of headlines on the Bloomberg right,

0:15:12.440 --> 0:15:13.960
<v Speaker 3>Lovable is one out of Sweden.

0:15:14.040 --> 0:15:15.520
<v Speaker 2>I think that's raised money.

0:15:15.880 --> 0:15:18.760
<v Speaker 3>By the way, Curser didn't reply to comment on our story,

0:15:18.880 --> 0:15:21.000
<v Speaker 3>but I did put on X that Basically, as far

0:15:21.000 --> 0:15:24.080
<v Speaker 3>as I can tell, Replic, Cursor, and clud Code just

0:15:24.120 --> 0:15:26.440
<v Speaker 3>all do the same thing in a slightly different way.

0:15:27.120 --> 0:15:31.360
<v Speaker 3>It is a competitive field, the AI coding agent space.

0:15:31.600 --> 0:15:32.720
<v Speaker 4>It's immensely competitive.

0:15:32.760 --> 0:15:35.440
<v Speaker 10>I mean, think about also this whole idea of people

0:15:35.480 --> 0:15:38.280
<v Speaker 10>being worried that their jobs are going to be automated away.

0:15:38.720 --> 0:15:41.360
<v Speaker 10>You see engineers trying all the products, but they are

0:15:41.400 --> 0:15:44.880
<v Speaker 10>going to pick one at some point, and so right

0:15:44.880 --> 0:15:46.720
<v Speaker 10>now it feels like there's this arm rates to figure

0:15:46.720 --> 0:15:50.040
<v Speaker 10>out which is going to be the preferred coding assistant

0:15:50.120 --> 0:15:53.360
<v Speaker 10>or software development assistant and you know, day by day

0:15:53.400 --> 0:15:54.680
<v Speaker 10>we see these companies go ahead.

0:15:54.480 --> 0:15:55.000
<v Speaker 2>To head on it.

0:15:55.720 --> 0:15:59.080
<v Speaker 4>Natasha, it's great. You're so much the breaking us in

0:15:59.120 --> 0:16:02.000
<v Speaker 4>the private area. Thank you very much. In Dean, Natasha Mascaron, is.

0:16:02.000 --> 0:16:12.320
<v Speaker 3>There software firm at Lassian is joining rivals blaming AI

0:16:12.520 --> 0:16:15.680
<v Speaker 3>for massive staff reductions. The Sydney based company plans to

0:16:15.680 --> 0:16:18.440
<v Speaker 3>cut sixteen hundred jobs, about a tent of.

0:16:18.440 --> 0:16:19.520
<v Speaker 2>Its global workforce.

0:16:19.760 --> 0:16:23.200
<v Speaker 3>The most ready forward has the software spaceed details. It

0:16:23.280 --> 0:16:25.400
<v Speaker 3>is the latest one right. The scale is not perhaps

0:16:25.480 --> 0:16:27.520
<v Speaker 3>the same as what we heard from Block a little

0:16:27.560 --> 0:16:30.040
<v Speaker 3>while back, but you have the details. Why is it

0:16:30.120 --> 0:16:31.600
<v Speaker 3>Lassian doing this and what to doing?

0:16:31.680 --> 0:16:31.840
<v Speaker 2>Well?

0:16:31.880 --> 0:16:33.680
<v Speaker 11>This is the cool thing to do now if you're

0:16:33.720 --> 0:16:36.280
<v Speaker 11>a software company, right, if you want to cut costs,

0:16:36.320 --> 0:16:38.640
<v Speaker 11>you say it's doing to AI. A couple of years

0:16:38.680 --> 0:16:41.640
<v Speaker 11>ago it was that you were flattening management layers, and

0:16:42.360 --> 0:16:45.480
<v Speaker 11>today it's that AI is changing the market. And there

0:16:45.520 --> 0:16:48.000
<v Speaker 11>is some truth to that, right. I mean, Elassian stock

0:16:48.160 --> 0:16:51.160
<v Speaker 11>is down fifty percent on this year, and a lot

0:16:51.200 --> 0:16:54.200
<v Speaker 11>of that is because investors are scared they're not adapting

0:16:54.200 --> 0:16:57.400
<v Speaker 11>to AI correctly. So there is certainly some truth that

0:16:57.520 --> 0:17:00.760
<v Speaker 11>AI fuels these cuts. But it's probably not quite as

0:17:00.840 --> 0:17:03.680
<v Speaker 11>direct as some of these management memos make it out

0:17:03.720 --> 0:17:03.960
<v Speaker 11>to me.

0:17:04.280 --> 0:17:07.720
<v Speaker 4>Oh, the old AI washing debate continues, Brody, and you've

0:17:07.800 --> 0:17:09.760
<v Speaker 4>just been breaking the news last week the Oracle was

0:17:09.840 --> 0:17:13.040
<v Speaker 4>likely to be laying off many thousands of people that

0:17:13.160 --> 0:17:15.359
<v Speaker 4>might be understood, and after their earnings, it feels as

0:17:15.359 --> 0:17:18.600
<v Speaker 4>though they've filed some formal paperwork. All of this seems

0:17:18.600 --> 0:17:20.000
<v Speaker 4>to be building. Are we going to hear it from

0:17:20.000 --> 0:17:22.280
<v Speaker 4>other software names? We've got more earnings coming after the Bell,

0:17:22.320 --> 0:17:22.880
<v Speaker 4>for example.

0:17:24.440 --> 0:17:26.680
<v Speaker 11>I think it's likely that we're going to keep hearing.

0:17:26.760 --> 0:17:29.959
<v Speaker 11>I mean, this whole AI job displacement question has been

0:17:30.000 --> 0:17:33.520
<v Speaker 11>going for years, and it seems like it's only ramping up. Yeah,

0:17:33.520 --> 0:17:36.760
<v Speaker 11>I mean tonight we have Adobe. Notably, they haven't done

0:17:36.760 --> 0:17:40.400
<v Speaker 11>a big scale layoff, and they're firmly in this bucket

0:17:40.480 --> 0:17:43.800
<v Speaker 11>of a company that is kind of really facing a

0:17:43.800 --> 0:17:46.280
<v Speaker 11>lot of skepticism from the market about their ability to

0:17:46.320 --> 0:17:47.680
<v Speaker 11>compete in this AI era.

0:17:48.760 --> 0:17:51.840
<v Speaker 4>Bloomberg's Brody Ford, thank you very much, indeed on all

0:17:51.880 --> 0:17:55.360
<v Speaker 4>things AI, and unfortunately work at displacement. But let's talk

0:17:55.400 --> 0:17:58.800
<v Speaker 4>about Netflix now. Maybe shelling out up to six hundred

0:17:58.840 --> 0:18:02.840
<v Speaker 4>million dollars to Qua afflex AI startup into Positive. That's

0:18:02.880 --> 0:18:05.040
<v Speaker 4>according to sources familiar with the deal. Now the movement

0:18:05.080 --> 0:18:07.639
<v Speaker 4>mark one of the biggest purchases ever for the streaming giant.

0:18:08.000 --> 0:18:10.240
<v Speaker 4>Here with more Blueberg's Luca Sure who covers all things

0:18:10.280 --> 0:18:14.359
<v Speaker 4>media and entertainment, and well, they couldn't get Warner Brothers Discovery,

0:18:14.560 --> 0:18:17.880
<v Speaker 4>so they're going in on AI. And actually it's cash

0:18:17.920 --> 0:18:20.400
<v Speaker 4>portion is less, but there's some quotas they should hit.

0:18:21.560 --> 0:18:24.440
<v Speaker 12>Yeah, I mean the the price was initially described to

0:18:24.480 --> 0:18:26.440
<v Speaker 12>me as six hundred million dollars. I spoke to a

0:18:26.520 --> 0:18:29.359
<v Speaker 12>knot different people where there is an earnout that would

0:18:29.600 --> 0:18:32.600
<v Speaker 12>get to six hundred and perhaps even more. The initial

0:18:32.680 --> 0:18:35.640
<v Speaker 12>upfront money is less than that, but still a big

0:18:35.680 --> 0:18:38.480
<v Speaker 12>payday for a company that nobody even knew existed. Really

0:18:38.600 --> 0:18:41.600
<v Speaker 12>until Netflix announced this deal, you know, Ben Affleck had

0:18:41.600 --> 0:18:44.760
<v Speaker 12>been out there giving some really interesting public statements on AI,

0:18:44.880 --> 0:18:46.920
<v Speaker 12>but it seemed just as sort of a curious filmmaker,

0:18:47.000 --> 0:18:48.800
<v Speaker 12>not as someone who'd started his own company.

0:18:49.560 --> 0:18:52.040
<v Speaker 3>The performance triggers are interesting when you just stop and

0:18:52.040 --> 0:18:54.359
<v Speaker 3>look at what Interpositive does right. The tools that it

0:18:54.480 --> 0:19:00.440
<v Speaker 3>makes allows filmmakers to alter existing footage. Talk a little

0:19:00.480 --> 0:19:03.200
<v Speaker 3>bit about that Lucas. Why it's useful to Netflix.

0:19:04.160 --> 0:19:06.359
<v Speaker 2>Yeah, well, it's useful on a couple of fronts.

0:19:06.400 --> 0:19:09.840
<v Speaker 12>One is, this is an AI company that is founded

0:19:09.880 --> 0:19:12.480
<v Speaker 12>by a filmmaker. It's for filmmakers, And if you listen

0:19:12.520 --> 0:19:15.960
<v Speaker 12>to Ben Affleck talk, you know they don't They don't

0:19:16.040 --> 0:19:19.359
<v Speaker 12>train on a bunch of existing work that's already out there.

0:19:19.359 --> 0:19:21.800
<v Speaker 12>You're not going to run into copyright issues in the

0:19:21.840 --> 0:19:24.800
<v Speaker 12>way that Google, Facebook, Open AI, et cetera.

0:19:24.920 --> 0:19:28.280
<v Speaker 2>Are. You are supposed to upload your movie.

0:19:28.080 --> 0:19:30.639
<v Speaker 12>As you're making it or your TV show, and the

0:19:30.720 --> 0:19:33.520
<v Speaker 12>model will train on what you have put into it

0:19:33.560 --> 0:19:36.639
<v Speaker 12>and can then help you change your shots, adapt your shots,

0:19:36.680 --> 0:19:40.800
<v Speaker 12>take things out, adjust certain backgrounds. And so it's exactly

0:19:40.840 --> 0:19:44.159
<v Speaker 12>what Hollywood should want in an AI product, which I

0:19:44.160 --> 0:19:46.640
<v Speaker 12>think is helpful to Netflix because most people in Hollywood

0:19:46.640 --> 0:19:48.840
<v Speaker 12>are going to be very mistrustful of companies like Netflix

0:19:48.880 --> 0:19:50.760
<v Speaker 12>and Amazon when it comes to AI. They're going to

0:19:50.800 --> 0:19:53.359
<v Speaker 12>assume that they are out to do sort of what

0:19:53.400 --> 0:19:56.159
<v Speaker 12>you were just talking about with with Brody Right job displacement.

0:19:57.040 --> 0:20:00.760
<v Speaker 4>This is a lot of money. How lo is the

0:20:00.840 --> 0:20:04.320
<v Speaker 4>scale of the engineering talent, the scale of the company.

0:20:04.440 --> 0:20:08.080
<v Speaker 4>How long has been Affleck been building this basically in stealth.

0:20:09.240 --> 0:20:11.200
<v Speaker 12>The company is only a couple of years old, the

0:20:11.359 --> 0:20:15.200
<v Speaker 12>staff is still quite sparse. I think the number caught

0:20:15.240 --> 0:20:17.520
<v Speaker 12>a lot of people, including myself, off guard, which is

0:20:17.560 --> 0:20:19.439
<v Speaker 12>one of the reasons why we ended up reporting it

0:20:19.480 --> 0:20:21.639
<v Speaker 12>right that the news that Netflix was buying this company

0:20:21.640 --> 0:20:24.000
<v Speaker 12>had already been announced. What I was most interested in

0:20:24.280 --> 0:20:26.160
<v Speaker 12>was when I heard how much they had paid for it.

0:20:26.640 --> 0:20:29.199
<v Speaker 12>But my understanding is that, you know, the company had

0:20:29.240 --> 0:20:31.359
<v Speaker 12>been out looking to raise money in the private markets

0:20:31.359 --> 0:20:33.800
<v Speaker 12>and was getting evaluation north of a billion dollars, and

0:20:33.840 --> 0:20:37.040
<v Speaker 12>so when they had the opportunity to sell, they didn't

0:20:37.080 --> 0:20:38.760
<v Speaker 12>get a price quite that high, but it had to

0:20:38.760 --> 0:20:41.320
<v Speaker 12>be pretty significant for them to consider doing it and

0:20:41.400 --> 0:20:44.360
<v Speaker 12>essentially become a proprietary technology for Netflix.

0:20:45.080 --> 0:20:47.359
<v Speaker 3>It is interesting we started the segment by saying, like

0:20:47.440 --> 0:20:50.760
<v Speaker 3>for Netflix, biggest acquisition or deal ever and sort of

0:20:50.800 --> 0:20:53.639
<v Speaker 3>completely have forgotten about and look past what happened with

0:20:53.680 --> 0:20:55.160
<v Speaker 3>the Warner Brothers Discovery bid.

0:20:55.760 --> 0:20:57.520
<v Speaker 2>Fold that in where we're at with it.

0:20:59.080 --> 0:21:01.160
<v Speaker 12>Waiting on what it's going to happen with Warner Brothers

0:21:01.160 --> 0:21:04.080
<v Speaker 12>in Paramount right, Netflix is pretty much out. Paramount CEO

0:21:04.640 --> 0:21:06.880
<v Speaker 12>David Ellison was on the Warner Brothers lot this week

0:21:06.960 --> 0:21:10.000
<v Speaker 12>talking to some senior staff. They're trying to get that

0:21:10.080 --> 0:21:12.320
<v Speaker 12>deal approved by the fall so that they don't have

0:21:12.359 --> 0:21:14.480
<v Speaker 12>to start paying that the ticking fee they have that

0:21:14.480 --> 0:21:17.240
<v Speaker 12>would make their acquisition of Warner Brothers even more expensive.

0:21:18.560 --> 0:21:21.960
<v Speaker 3>Bloo invested Kashaw, who is managing editor, leads our screen

0:21:22.000 --> 0:21:23.280
<v Speaker 3>Time team with the reporting.

0:21:23.359 --> 0:21:30.480
<v Speaker 2>Thank you very much, Apple.

0:21:30.760 --> 0:21:33.320
<v Speaker 4>Well, let's entry into the foldable phone category. The long

0:21:33.400 --> 0:21:36.920
<v Speaker 4>awaited device is set to have an iPad like feature

0:21:37.320 --> 0:21:40.080
<v Speaker 4>when it's fully opened, according to sources lets Kmore and

0:21:40.080 --> 0:21:42.280
<v Speaker 4>bloombergs Mark gum And, who of course wrote the story,

0:21:42.520 --> 0:21:44.640
<v Speaker 4>So well, there's going to be a screen on the front,

0:21:44.640 --> 0:21:46.600
<v Speaker 4>but also the internal screen is going to feel more

0:21:46.640 --> 0:21:47.480
<v Speaker 4>like an iPad Mini.

0:21:48.480 --> 0:21:49.720
<v Speaker 7>Yeah, this is pretty exciting.

0:21:49.760 --> 0:21:51.960
<v Speaker 13>So if you've used an iPad Mini, it has about

0:21:52.000 --> 0:21:54.600
<v Speaker 13>an eight inch screen, and now this foldable phone, it

0:21:54.600 --> 0:21:56.800
<v Speaker 13>will be kind of small when it's closed, but when

0:21:56.840 --> 0:21:58.840
<v Speaker 13>you open it up, it'll be the size of an

0:21:58.880 --> 0:22:01.320
<v Speaker 13>iPad Mini. So basically an iPad many you can fit

0:22:01.440 --> 0:22:03.760
<v Speaker 13>in your pocket. And so with that, you're going to

0:22:03.760 --> 0:22:07.120
<v Speaker 13>see an updated version of iOS twenty seven later this year,

0:22:07.520 --> 0:22:10.040
<v Speaker 13>and some of the key features will be iPad like

0:22:10.119 --> 0:22:13.720
<v Speaker 13>layouts for apps that'll run standard iOS. The other cool

0:22:13.760 --> 0:22:16.040
<v Speaker 13>things here is that it'll be a little different from

0:22:16.119 --> 0:22:19.880
<v Speaker 13>past foldables and that it'll have better durability, and then

0:22:19.960 --> 0:22:22.560
<v Speaker 13>it'll also have a reduced crease, so it'll have a

0:22:22.640 --> 0:22:25.800
<v Speaker 13>market leading crease so to speak. Right now, most foldable

0:22:25.840 --> 0:22:28.960
<v Speaker 13>phones you see that line in the middle on the

0:22:28.960 --> 0:22:31.080
<v Speaker 13>Apple version, it'll be much less visible.

0:22:31.119 --> 0:22:33.119
<v Speaker 7>So that's going to be pretty nifty.

0:22:33.160 --> 0:22:35.240
<v Speaker 13>And obviously this is going to be probably north of

0:22:35.280 --> 0:22:38.359
<v Speaker 13>two thousand dollars, so it's obviously a good thing that

0:22:38.359 --> 0:22:40.960
<v Speaker 13>they have the technology a little superior to what's on

0:22:41.000 --> 0:22:41.679
<v Speaker 13>the market today.

0:22:42.440 --> 0:22:45.359
<v Speaker 3>Mark take us inside Apple, not just in the story

0:22:45.359 --> 0:22:47.840
<v Speaker 3>you put out yesterday or overnight, but but all the

0:22:47.920 --> 0:22:52.360
<v Speaker 3>reporting on this product over the last few months. Does

0:22:52.440 --> 0:22:55.399
<v Speaker 3>management feel like this is big for the direction that

0:22:55.440 --> 0:22:58.240
<v Speaker 3>Apple wants to go, that it's going to be one

0:22:58.280 --> 0:23:00.720
<v Speaker 3>of the most high volume products, things like that.

0:23:02.000 --> 0:23:03.760
<v Speaker 7>I actually think it's going to be pretty niche.

0:23:04.600 --> 0:23:07.399
<v Speaker 13>You know, they'll sell some maybe five to ten percent

0:23:07.440 --> 0:23:11.720
<v Speaker 13>of overall iPhone units in a year will be the

0:23:12.040 --> 0:23:15.200
<v Speaker 13>foldable phone. But it is going to be niche from

0:23:15.240 --> 0:23:18.240
<v Speaker 13>the get go, obviously because that price point, which puts

0:23:18.240 --> 0:23:20.879
<v Speaker 13>it at about double what you're paying for sort of

0:23:20.920 --> 0:23:25.840
<v Speaker 13>the baseline profones, and obviously some people like the current candy.

0:23:25.480 --> 0:23:27.879
<v Speaker 7>Bar style, so the slab of glass style.

0:23:28.800 --> 0:23:29.000
<v Speaker 1>You know.

0:23:29.000 --> 0:23:31.840
<v Speaker 13>They're also working on new versions of the regular profone,

0:23:31.920 --> 0:23:34.160
<v Speaker 13>so you'll see an eighteen Pro and eighteen Pro Max

0:23:34.160 --> 0:23:34.760
<v Speaker 13>in the fall.

0:23:35.119 --> 0:23:37.720
<v Speaker 7>Big focus there is on processor and camera.

0:23:37.840 --> 0:23:41.520
<v Speaker 13>The phones will look basically the same as the current versions,

0:23:42.160 --> 0:23:44.800
<v Speaker 13>and then a year later, as early as twenty twenty seven,

0:23:45.200 --> 0:23:47.399
<v Speaker 13>you'll see more of an edge to edge phone with

0:23:47.800 --> 0:23:51.919
<v Speaker 13>more curved glass. In honor of the products twenty year anniversary.

0:23:52.359 --> 0:23:54.920
<v Speaker 4>In Meg's mot Guman always with it will think xactly

0:23:55.000 --> 0:23:58.120
<v Speaker 4>we thank you. Now in Washington, Tech John Dell has

0:23:58.160 --> 0:24:01.160
<v Speaker 4>been holding an event with its biggest customer, the US government.

0:24:01.480 --> 0:24:04.120
<v Speaker 4>Earlier Ed spoke with Dell CEO Michael Dell and under

0:24:04.160 --> 0:24:06.240
<v Speaker 4>Secutuary of Science at the US Department of Energy that

0:24:06.320 --> 0:24:10.040
<v Speaker 4>Stario gil who spoke about using AI to advance scientific discovery.

0:24:10.040 --> 0:24:10.520
<v Speaker 4>Take a listen.

0:24:12.920 --> 0:24:14.680
<v Speaker 3>A lot of the themes that you're trying to get across,

0:24:14.680 --> 0:24:16.800
<v Speaker 3>and I don't know what conclusions you've reached in the

0:24:16.880 --> 0:24:19.960
<v Speaker 3>last hour with your colleagues sat next to you, is

0:24:19.960 --> 0:24:23.280
<v Speaker 3>that either government is getting it right in the United States,

0:24:23.359 --> 0:24:26.359
<v Speaker 3>or they're not in where they're allocating resource, where they're

0:24:26.400 --> 0:24:31.760
<v Speaker 3>deploying policy to build critical national AI infrastructure. What are

0:24:31.800 --> 0:24:33.240
<v Speaker 3>the conclusions you've reached today.

0:24:35.119 --> 0:24:39.159
<v Speaker 14>You know, we're seeing in government a number of the

0:24:39.240 --> 0:24:46.080
<v Speaker 14>projects advanced from the pilot phase to production phase. And certainly,

0:24:46.359 --> 0:24:50.639
<v Speaker 14>you know Dario can speak to the ambitious initiatives, but

0:24:51.359 --> 0:24:55.119
<v Speaker 14>you know we are you know, we have built a

0:24:55.160 --> 0:25:02.119
<v Speaker 14>platform for open scillable systems to enable all the great

0:25:02.119 --> 0:25:05.320
<v Speaker 14>sciences occurring in the national labs and beyond. Certainly we

0:25:05.400 --> 0:25:08.719
<v Speaker 14>have a fabulous example in the DOWT in a cluster

0:25:08.920 --> 0:25:14.479
<v Speaker 14>that we're beginning to deploy, and all this is about

0:25:14.560 --> 0:25:21.879
<v Speaker 14>accelerating science, scientific discovery and progress. And certainly you know

0:25:21.960 --> 0:25:25.200
<v Speaker 14>that's that's a huge parorty. So great to be here

0:25:25.280 --> 0:25:29.560
<v Speaker 14>with our largest customer, and you know, we're very mission

0:25:29.600 --> 0:25:36.280
<v Speaker 14>focused and making sure our solutions are enabling the mission

0:25:36.320 --> 0:25:41.000
<v Speaker 14>wherever it occurs, whether that's in space, out in the

0:25:41.040 --> 0:25:45.560
<v Speaker 14>field and everywhere else does go.

0:25:45.640 --> 0:25:48.240
<v Speaker 3>There are case studies, right we could talk for example

0:25:48.480 --> 0:25:52.240
<v Speaker 3>about the progress you've made with any RSC, but zooming

0:25:52.280 --> 0:25:56.600
<v Speaker 3>out for a moment, if you will, from the DOES perspective,

0:25:57.040 --> 0:26:00.119
<v Speaker 3>why is AI infrastructure now such a core part of

0:26:00.119 --> 0:26:03.720
<v Speaker 3>of national security and energy security implications.

0:26:05.440 --> 0:26:09.560
<v Speaker 15>Well, because we're in the midst of computer revolution, and

0:26:09.960 --> 0:26:12.280
<v Speaker 15>AIS have the heart of that revolution, and it is

0:26:12.320 --> 0:26:16.159
<v Speaker 15>going to transform how science and engineering are practiced in

0:26:16.160 --> 0:26:22.280
<v Speaker 15>our nation. The Monday before Thanksgiving, President Trump sign an

0:26:22.280 --> 0:26:26.880
<v Speaker 15>executive order to launch the Genesis Mission, and within that mission,

0:26:27.480 --> 0:26:31.480
<v Speaker 15>we seek to harness this computer revolution to double the

0:26:31.480 --> 0:26:35.359
<v Speaker 15>productivity and impact of America's trillion dollars a year R

0:26:35.400 --> 0:26:38.919
<v Speaker 15>and D ecosystem and science and engineering are at the

0:26:38.960 --> 0:26:43.240
<v Speaker 15>heart of our progress and capabilities in national security, in discovery, science,

0:26:43.359 --> 0:26:47.600
<v Speaker 15>in energy, in health. And the example of the partnership

0:26:48.280 --> 0:26:50.479
<v Speaker 15>that we have with the Downes system in NURSK in

0:26:50.520 --> 0:26:54.919
<v Speaker 15>one of our seventeen national laboratories exemplifies the power of

0:26:55.040 --> 0:26:56.879
<v Speaker 15>using AI to accelerate.

0:26:56.400 --> 0:27:01.600
<v Speaker 3>Science toge is and mister Dell sent next to you

0:27:01.640 --> 0:27:05.480
<v Speaker 3>delivering supercomputers to the timeline you'd expect.

0:27:06.520 --> 0:27:09.280
<v Speaker 15>Yes, one of the So, for example, in that system

0:27:09.359 --> 0:27:12.160
<v Speaker 15>that we're standing up, we already have an early access

0:27:12.160 --> 0:27:15.080
<v Speaker 15>program where we stood up the first generation of nodes

0:27:15.600 --> 0:27:18.920
<v Speaker 15>of the Nvidia GPUs system is going to be operational

0:27:19.640 --> 0:27:23.520
<v Speaker 15>for the science community mid twenty twenty seven. So I

0:27:23.520 --> 0:27:26.439
<v Speaker 15>think one of the characteristics we're seeing right now is

0:27:26.480 --> 0:27:29.000
<v Speaker 15>that we used to have supercomputing projects that would take

0:27:29.040 --> 0:27:31.439
<v Speaker 15>a decade to build. Now we're building these things in

0:27:31.480 --> 0:27:35.760
<v Speaker 15>two years, and that's a big, big change in terms.

0:27:35.560 --> 0:27:38.720
<v Speaker 2>Of the velocity with which it's moving. One of my

0:27:38.800 --> 0:27:43.000
<v Speaker 2>quotes the government is doing is sorry to interrupt.

0:27:42.600 --> 0:27:50.520
<v Speaker 14>There, please try out leveraging the integrated rack scalable systems

0:27:50.520 --> 0:27:53.280
<v Speaker 14>that we're building for commercial and enterprise. And obviously there

0:27:53.320 --> 0:27:58.040
<v Speaker 14>are enormous buildouts in AI data centers as you'r weld

0:27:58.040 --> 0:28:04.080
<v Speaker 14>aware ed and and so they'll kind of again leveraging

0:28:04.119 --> 0:28:08.960
<v Speaker 14>that open scalable architecture that we built will accelerate the

0:28:09.000 --> 0:28:14.080
<v Speaker 14>government's progress in all of its AI infrastructural requirements.

0:28:15.680 --> 0:28:18.440
<v Speaker 3>That was Dell CEO, Michael Dell and Darry O'Gill, under

0:28:18.480 --> 0:28:21.040
<v Speaker 3>Secretary for Science at the US Department of Energy. Now

0:28:21.040 --> 0:28:24.360
<v Speaker 3>coming up, startup Sunday raise one hundred and sixty five

0:28:24.400 --> 0:28:28.119
<v Speaker 3>million as it works toward bringing dishwashing and laundry folding

0:28:28.200 --> 0:28:31.600
<v Speaker 3>robots into your home. Speak to the CEO.

0:28:31.680 --> 0:28:33.000
<v Speaker 2>Next. This is Wimberg Tech.

0:28:38.920 --> 0:28:42.440
<v Speaker 4>AI coding startup replet has raised four hundred million dollars

0:28:42.480 --> 0:28:44.320
<v Speaker 4>in a Series D round led by B to B

0:28:44.400 --> 0:28:47.680
<v Speaker 4>investor Georgian founding the company at nine million dollars. Joining

0:28:47.760 --> 0:28:50.320
<v Speaker 4>us to discuss the latest funding is Replet CEO. I'm

0:28:50.400 --> 0:28:53.040
<v Speaker 4>Jad Masad. Wonderful to have you with us, A'm Janden.

0:28:53.440 --> 0:28:55.200
<v Speaker 4>What's the money going to be used for? Because you're

0:28:55.520 --> 0:28:57.320
<v Speaker 4>building it up in a swift formation.

0:28:59.400 --> 0:29:03.400
<v Speaker 16>Yeah, there's a lot of product innovation to be done,

0:29:03.560 --> 0:29:07.880
<v Speaker 16>so we're hiring more people in R and D. You know,

0:29:07.960 --> 0:29:13.760
<v Speaker 16>Replet is kind of expanding beyond just code. We think

0:29:13.800 --> 0:29:18.480
<v Speaker 16>that code has become the universal interface for knowledge work.

0:29:19.080 --> 0:29:23.719
<v Speaker 16>So we're seeing customers of ours. They're not just building apps,

0:29:23.720 --> 0:29:27.600
<v Speaker 16>although that's a big use case. They're building automations that

0:29:27.680 --> 0:29:30.840
<v Speaker 16>are building slide decks, they're building marketing materials. They are

0:29:30.840 --> 0:29:34.600
<v Speaker 16>doing all sorts of things with a replets. So we're

0:29:34.640 --> 0:29:38.600
<v Speaker 16>expanding that, but we're also expanding internationally. We're seeing a

0:29:38.600 --> 0:29:41.720
<v Speaker 16>lot of excitement around Replet and places like in Japan,

0:29:42.920 --> 0:29:45.400
<v Speaker 16>South Korea, I'll say the Middle East. We have this

0:29:45.440 --> 0:29:48.520
<v Speaker 16>big partnership with out Arabia and that's growing across the

0:29:48.560 --> 0:29:52.520
<v Speaker 16>Middle East, but also Asia. We were just in India for

0:29:52.600 --> 0:29:55.959
<v Speaker 16>the AI summit there and there's tremendous excitement there. We've

0:29:56.000 --> 0:29:58.680
<v Speaker 16>partnered with a Razor Pay it was also a customer,

0:29:59.200 --> 0:30:03.720
<v Speaker 16>and we're bringing kind of the raplets superpower to developers

0:30:03.720 --> 0:30:04.520
<v Speaker 16>in India.

0:30:04.640 --> 0:30:05.840
<v Speaker 2>So there's a lot to do.

0:30:06.760 --> 0:30:08.640
<v Speaker 4>I have to do the follow up of if you

0:30:08.720 --> 0:30:12.080
<v Speaker 4>are with significant exposure and growing in Saudi Arabia, how

0:30:12.120 --> 0:30:15.040
<v Speaker 4>have things been in the last couple of weeks? Is

0:30:15.080 --> 0:30:18.920
<v Speaker 4>that still growing as quickly as you anticipate it is?

0:30:19.040 --> 0:30:19.360
<v Speaker 2>It is?

0:30:19.520 --> 0:30:23.520
<v Speaker 16>We haven't seen any any disruption to growth or day

0:30:23.520 --> 0:30:28.920
<v Speaker 16>to day operations. Obviously, wish the best of the people

0:30:28.960 --> 0:30:31.920
<v Speaker 16>there and hope things helpe we get to pece system

0:30:31.920 --> 0:30:32.560
<v Speaker 16>as possible.

0:30:33.920 --> 0:30:37.680
<v Speaker 2>I'm dad. You may see this is not fair.

0:30:37.720 --> 0:30:43.040
<v Speaker 3>But if you put replt alongside Cursor, right alongside poor Code,

0:30:43.240 --> 0:30:45.920
<v Speaker 3>there are different functions. There are different strengths, but the

0:30:46.320 --> 0:30:47.960
<v Speaker 3>base functions are similar.

0:30:48.040 --> 0:30:48.240
<v Speaker 2>Right.

0:30:48.480 --> 0:30:50.880
<v Speaker 3>You actually also have a lot of investors in common

0:30:51.440 --> 0:30:55.080
<v Speaker 3>with Cursor. How do you manage that and just basically

0:30:55.120 --> 0:30:57.880
<v Speaker 3>say no, like no, this is what Replet does. This

0:30:57.920 --> 0:31:00.680
<v Speaker 3>is how we're different, This is our motor, what we're

0:31:00.680 --> 0:31:01.360
<v Speaker 3>doing best.

0:31:02.840 --> 0:31:06.360
<v Speaker 16>Yeah, So if you look at our customers, our customers

0:31:06.760 --> 0:31:10.680
<v Speaker 16>buy Cursor buy clod code, but they buy them for

0:31:10.800 --> 0:31:16.320
<v Speaker 16>their core engineering teams. What are the rest of the

0:31:16.360 --> 0:31:22.280
<v Speaker 16>company using code? Is democratized now anyone can build applications,

0:31:22.320 --> 0:31:26.760
<v Speaker 16>can build software, and the most innovative companies in the

0:31:26.760 --> 0:31:28.800
<v Speaker 16>world are opening their eyes to that and saying we

0:31:28.840 --> 0:31:31.440
<v Speaker 16>don't want to be left behind. We want our product

0:31:31.440 --> 0:31:34.360
<v Speaker 16>managers to be able to ship software. We want our

0:31:34.400 --> 0:31:37.800
<v Speaker 16>designers to prototype and get in front of customers as

0:31:37.840 --> 0:31:38.760
<v Speaker 16>early as possible.

0:31:39.800 --> 0:31:43.400
<v Speaker 2>And that's not just startups. This is like we're talking about.

0:31:43.440 --> 0:31:46.160
<v Speaker 16>You know, eighty five percent of the Fortune five hundred

0:31:46.240 --> 0:31:51.080
<v Speaker 16>companies are using replet and in the primary departments is

0:31:51.120 --> 0:31:56.280
<v Speaker 16>primarily outside of engineering, so we don't really compete with them.

0:31:56.760 --> 0:31:59.280
<v Speaker 2>Had to head on deals.

0:32:00.720 --> 0:32:05.000
<v Speaker 3>The benchmark right now in Silicon Valley. Again, you can

0:32:05.000 --> 0:32:07.960
<v Speaker 3>tell me if I'm wrong, but it's ars. You know

0:32:08.120 --> 0:32:11.080
<v Speaker 3>how real these businesses are coming in? How quickly take

0:32:11.160 --> 0:32:13.600
<v Speaker 3>us inside report? How's things going financially?

0:32:14.720 --> 0:32:18.040
<v Speaker 2>Yeah, I mean last year we grew one hundred UCTs.

0:32:19.360 --> 0:32:21.400
<v Speaker 16>We went from two point five million to two hundred

0:32:21.440 --> 0:32:25.200
<v Speaker 16>and fifty million dollars. I said last year that it

0:32:25.280 --> 0:32:28.520
<v Speaker 16>looks like we're going to be headed to a billion

0:32:28.720 --> 0:32:33.480
<v Speaker 16>arr in twenty twenty six and we're on track. So

0:32:33.920 --> 0:32:37.520
<v Speaker 16>I think that's that's really exciting. But we also spend

0:32:37.520 --> 0:32:41.520
<v Speaker 16>a lot of time just making sure enterprise adoption is

0:32:42.080 --> 0:32:44.920
<v Speaker 16>going as planned because you know you mentioned Cursor and

0:32:44.920 --> 0:32:48.240
<v Speaker 16>clod Code, they're going after established markets. What we're telling

0:32:48.360 --> 0:32:51.560
<v Speaker 16>enterprise is that now you need to decentralize innovation. This

0:32:51.640 --> 0:32:55.400
<v Speaker 16>is we're creating a new category of you know, anyone

0:32:55.440 --> 0:32:59.000
<v Speaker 16>can code the enterprise. So so the thing we're most

0:32:59.000 --> 0:33:02.960
<v Speaker 16>proud of recent as the adoption in the enterprise.

0:33:04.200 --> 0:33:06.360
<v Speaker 3>I'm je Masad Replet CEO. It's great to have you

0:33:06.440 --> 0:33:08.840
<v Speaker 3>back on Bloomberg Tech. Thank you very much. We have

0:33:08.920 --> 0:33:11.960
<v Speaker 3>more funding news. Robotics firm Sunday has reached a nearly

0:33:12.040 --> 0:33:15.120
<v Speaker 3>one point two billion dollar valuation following one hundred and

0:33:15.160 --> 0:33:17.880
<v Speaker 3>sixty five million dollar funding round. The startup is using

0:33:17.880 --> 0:33:21.239
<v Speaker 3>AI to develop a robot that can do housework and

0:33:21.280 --> 0:33:25.080
<v Speaker 3>plans to launch a testing program later this year. Sunday's

0:33:25.120 --> 0:33:28.800
<v Speaker 3>co founder and CEO, Tony Job, joins us now in studio.

0:33:28.960 --> 0:33:32.840
<v Speaker 2>We just showed some video of Memo. You weren't able

0:33:32.880 --> 0:33:33.600
<v Speaker 2>to bring Memo with you.

0:33:33.680 --> 0:33:37.720
<v Speaker 3>It's quite quite big and quite heavy, but it's an

0:33:37.760 --> 0:33:39.000
<v Speaker 3>interesting use case.

0:33:40.800 --> 0:33:42.120
<v Speaker 2>What are you going to use the funding for.

0:33:42.440 --> 0:33:44.520
<v Speaker 3>I guess in the first instance, to kind of accelerate

0:33:44.560 --> 0:33:46.760
<v Speaker 3>this testing program so that I can have one in

0:33:46.760 --> 0:33:49.080
<v Speaker 3>my home, or anyone watching Bloombo Tech right now can say,

0:33:49.160 --> 0:33:50.360
<v Speaker 3>all right, I'll get one of those.

0:33:50.640 --> 0:33:51.520
<v Speaker 2>Yeah, one hundred percent.

0:33:51.680 --> 0:33:53.880
<v Speaker 17>I think the bid of program is a really great

0:33:53.920 --> 0:33:57.479
<v Speaker 17>way for us to all kind of exercise our muscle.

0:33:57.720 --> 0:34:00.680
<v Speaker 17>I've deployed these robusts into real peoples toms, which is

0:34:00.720 --> 0:34:03.280
<v Speaker 17>the first time these general purpose robusts are deployed to

0:34:03.480 --> 0:34:06.880
<v Speaker 17>like real homes as well as decleaning the research focus

0:34:07.000 --> 0:34:07.960
<v Speaker 17>that we have internally.

0:34:08.120 --> 0:34:10.080
<v Speaker 3>I chair my family in town and they're here to

0:34:10.120 --> 0:34:12.080
<v Speaker 3>watch the show today and they know full well that

0:34:12.680 --> 0:34:14.759
<v Speaker 3>you know in the living room is the laundry and

0:34:14.800 --> 0:34:17.440
<v Speaker 3>it's not folded because of the difficulty in training me

0:34:17.960 --> 0:34:21.279
<v Speaker 3>to do it. What is the technical challenge on the

0:34:21.280 --> 0:34:25.759
<v Speaker 3>hardware side, but also software side, dexterity to get the

0:34:25.880 --> 0:34:27.320
<v Speaker 3>robot to fold laundry?

0:34:27.600 --> 0:34:29.600
<v Speaker 17>Yeah, yeah, I think the breakthrough is really about the

0:34:29.640 --> 0:34:32.200
<v Speaker 17>AI that is behind it. You think about GENI as

0:34:32.239 --> 0:34:35.080
<v Speaker 17>a AI that generate images and texts, but we use

0:34:35.120 --> 0:34:38.839
<v Speaker 17>it to generate actions. I think one of the most

0:34:38.840 --> 0:34:41.520
<v Speaker 17>important part is how we gather the data to train

0:34:41.600 --> 0:34:45.279
<v Speaker 17>this really powerful AI. And what we do is we

0:34:45.360 --> 0:34:49.399
<v Speaker 17>develop this glove club memory gloves, and essentially we give

0:34:49.440 --> 0:34:51.920
<v Speaker 17>it to people so that they can do the laundry

0:34:51.920 --> 0:34:54.360
<v Speaker 17>in their own homes, and we capture that data to

0:34:54.440 --> 0:34:56.399
<v Speaker 17>train our robusts to do the same thing.

0:34:57.480 --> 0:35:01.759
<v Speaker 4>Skill capture gloves, So basically that's giving the data, the

0:35:01.840 --> 0:35:04.279
<v Speaker 4>underlying data so that the robot can learn. This was

0:35:04.320 --> 0:35:06.439
<v Speaker 4>sort of a breakthrough that you made in academia, Tony,

0:35:06.480 --> 0:35:08.160
<v Speaker 4>But I'm interested as to how the beta is going

0:35:08.160 --> 0:35:10.440
<v Speaker 4>and how many people actually want them in their homes.

0:35:11.080 --> 0:35:12.359
<v Speaker 2>Yeah, we have a huge way list.

0:35:12.640 --> 0:35:15.160
<v Speaker 17>We have more than three thousand people who spend like

0:35:15.200 --> 0:35:18.560
<v Speaker 17>thirty minute like filling up this whole sand of forum,

0:35:19.040 --> 0:35:21.520
<v Speaker 17>and we're actually in the process of selecting people who

0:35:21.560 --> 0:35:23.080
<v Speaker 17>will be participating in it this year.

0:35:24.000 --> 0:35:27.160
<v Speaker 4>It's all about getting robots in the wild. Now, I'm

0:35:27.200 --> 0:35:30.000
<v Speaker 4>interested Tony as to We've been watching a lot of

0:35:30.040 --> 0:35:33.959
<v Speaker 4>these videos basically on fast forward, they're going at four

0:35:34.000 --> 0:35:36.440
<v Speaker 4>times the speed than they actually do. What do you

0:35:36.480 --> 0:35:38.759
<v Speaker 4>think your biggest learning will be in the wild. Where

0:35:38.760 --> 0:35:40.719
<v Speaker 4>do you think there will be issues? Where do you

0:35:40.760 --> 0:35:44.080
<v Speaker 4>think they'll really overcome a lot of the concerns people have.

0:35:45.280 --> 0:35:49.120
<v Speaker 17>Yeah, I think for us, we're actually not super worried

0:35:49.120 --> 0:35:52.560
<v Speaker 17>about speed because essentially, if your laundry, if all your

0:35:52.560 --> 0:35:55.560
<v Speaker 17>houseworks can be done by the robot, it's essentially like

0:35:55.800 --> 0:35:57.600
<v Speaker 17>you go to work and you come back to work

0:35:57.800 --> 0:36:00.879
<v Speaker 17>after eight hours and all the work is done. So

0:36:00.920 --> 0:36:03.120
<v Speaker 17>the part that we're really dis thing is we do

0:36:03.200 --> 0:36:07.360
<v Speaker 17>not actually need to train on data that is collective

0:36:07.360 --> 0:36:10.080
<v Speaker 17>from the robot because we have this whole fleet of

0:36:10.239 --> 0:36:13.759
<v Speaker 17>memory developers, so our interest and our users interests are

0:36:13.760 --> 0:36:17.080
<v Speaker 17>almost perfectly aligned. We want feedbacks, we don't necessarily need

0:36:17.400 --> 0:36:18.440
<v Speaker 17>the data from your homes.

0:36:18.480 --> 0:36:21.279
<v Speaker 3>Bloomberg Tech executive producer Jackie Lopez has come in with

0:36:21.400 --> 0:36:23.319
<v Speaker 3>probably the most important question of the day, which is

0:36:23.600 --> 0:36:24.080
<v Speaker 3>will it.

0:36:23.960 --> 0:36:26.840
<v Speaker 2>Come with the hat? And why does Memo have a hat?

0:36:27.600 --> 0:36:30.960
<v Speaker 3>For me, probably a more important question, particularly because it's

0:36:30.960 --> 0:36:33.720
<v Speaker 3>not bipedal, right, is what are you going to charge

0:36:33.760 --> 0:36:34.000
<v Speaker 3>for it?

0:36:34.040 --> 0:36:36.040
<v Speaker 2>And how are you going to charge? What's the model?

0:36:36.360 --> 0:36:38.240
<v Speaker 17>Yeah, I think the way we think about the robot

0:36:38.280 --> 0:36:41.279
<v Speaker 17>we build is almost a perfect example of MVP, which

0:36:41.320 --> 0:36:44.160
<v Speaker 17>is a minimum viable product that we try to simplify.

0:36:44.200 --> 0:36:45.600
<v Speaker 2>We try to lower the cost.

0:36:46.120 --> 0:36:48.000
<v Speaker 17>So in the beginning when we sell it, we're going

0:36:48.000 --> 0:36:50.480
<v Speaker 17>to sell it for around ten kuss dollar. But just

0:36:50.600 --> 0:36:53.320
<v Speaker 17>like personal computers, just like phones, so we'll get cheaper

0:36:53.320 --> 0:36:53.839
<v Speaker 17>over time.

0:36:53.960 --> 0:36:54.960
<v Speaker 2>But it comes with the hat.

0:36:55.160 --> 0:36:59.720
<v Speaker 17>Yes, the hat is really interesting because we essentially imagine

0:36:59.719 --> 0:37:03.040
<v Speaker 17>a world that the robots are everywhere, the ubiquitous rates,

0:37:03.080 --> 0:37:06.040
<v Speaker 17>and we really want to make eye contact with the robot.

0:37:06.400 --> 0:37:08.560
<v Speaker 17>And instead of putting a camera us inside the eyes

0:37:08.600 --> 0:37:12.480
<v Speaker 17>of the robot, we essentially hide it underneath the hat,

0:37:12.760 --> 0:37:14.680
<v Speaker 17>so it looks a lot more natural. You can make

0:37:14.719 --> 0:37:16.400
<v Speaker 17>eye contact with it.

0:37:16.400 --> 0:37:17.080
<v Speaker 2>It's cute.

0:37:17.360 --> 0:37:20.680
<v Speaker 4>Tony Jiao, thank you, CEO Sunday, come back. Tell us

0:37:20.680 --> 0:37:30.480
<v Speaker 4>how that testing in the wild continues. Investors have been

0:37:30.600 --> 0:37:34.400
<v Speaker 4>clamoring for early access to share private companies like SpaceX

0:37:34.480 --> 0:37:37.640
<v Speaker 4>before their IPOs, but they're turning to the wild world

0:37:37.640 --> 0:37:40.360
<v Speaker 4>of special purpose vehicles or SPVs. They act kind of

0:37:40.400 --> 0:37:43.760
<v Speaker 4>as a middle man structure whose main asset is shares

0:37:43.800 --> 0:37:46.520
<v Speaker 4>of other private companies, but there are some questions around

0:37:46.520 --> 0:37:49.000
<v Speaker 4>who really owns the stock or if it even exists.

0:37:49.040 --> 0:37:51.880
<v Speaker 4>Bloomberg's Bailey Lipschaltz joins us some more, and you really

0:37:51.920 --> 0:37:55.520
<v Speaker 4>do this wonderful deep dive. Look, not every SPV is

0:37:55.800 --> 0:37:59.200
<v Speaker 4>born equal. Some are more questionable than others. But what's

0:37:59.239 --> 0:38:02.480
<v Speaker 4>amazing is that sort of co founders of Andrail or

0:38:02.560 --> 0:38:07.600
<v Speaker 4>the hottest IBO candidates are getting sent well SPV terms

0:38:07.640 --> 0:38:10.120
<v Speaker 4>that they know they haven't issued shares too.

0:38:10.200 --> 0:38:11.640
<v Speaker 2>They know they haven't issued shares too.

0:38:11.680 --> 0:38:15.280
<v Speaker 18>They're very They're a company that is very outspoken about

0:38:15.320 --> 0:38:18.000
<v Speaker 18>pushing back against these and just kind of the potential fees,

0:38:18.200 --> 0:38:21.719
<v Speaker 18>and they're if you go on X Palmer and Matt

0:38:21.760 --> 0:38:24.239
<v Speaker 18>are very vocal about not wanting this to be a thing.

0:38:24.280 --> 0:38:26.719
<v Speaker 18>And the big question is if there's a market, why

0:38:26.760 --> 0:38:28.840
<v Speaker 18>aren't people investing in it? And it goes to the

0:38:28.880 --> 0:38:31.799
<v Speaker 18>whole debate about capitalism. Right, if you are willing to

0:38:31.920 --> 0:38:33.759
<v Speaker 18>take on these fees and willing to take on the

0:38:33.840 --> 0:38:36.560
<v Speaker 18>risk to buy Androil at two and a half times

0:38:36.840 --> 0:38:39.560
<v Speaker 18>its latest funding round and pay a fee to a manager.

0:38:39.760 --> 0:38:42.839
<v Speaker 18>From the management perspective, why not they're offering the deal

0:38:42.880 --> 0:38:46.000
<v Speaker 18>And from the investor perspective, hopefully you did your due diligence.

0:38:47.080 --> 0:38:50.880
<v Speaker 3>Bailey to quote the Great Shrek, and much like ogres,

0:38:51.600 --> 0:38:53.120
<v Speaker 3>SPVs can have layers.

0:38:54.040 --> 0:38:55.760
<v Speaker 2>That was good layers, Donkey.

0:38:56.160 --> 0:39:00.080
<v Speaker 3>And that within it buries a very complicated web of

0:39:00.320 --> 0:39:04.959
<v Speaker 3>extra fees and what Carol was talking about understanding within

0:39:05.040 --> 0:39:07.880
<v Speaker 3>those layers, if the stock's even there a tool in

0:39:07.920 --> 0:39:11.399
<v Speaker 3>the end, if there is actually ownership of real cap

0:39:11.440 --> 0:39:14.880
<v Speaker 3>table position in a private company.

0:39:14.960 --> 0:39:16.960
<v Speaker 18>Yeah, and I think that goes back to the question

0:39:17.080 --> 0:39:20.279
<v Speaker 18>of if you're invested in a co invest on the

0:39:20.320 --> 0:39:23.920
<v Speaker 18>cap table in an SPV, a so called clean SPV, congratulations,

0:39:23.920 --> 0:39:26.040
<v Speaker 18>That makes all the sense in the world. If you're

0:39:26.080 --> 0:39:29.480
<v Speaker 18>being pitched an email that's saying, hey, pay me two

0:39:29.520 --> 0:39:33.160
<v Speaker 18>and ten for access to this SPV. But that's on

0:39:33.239 --> 0:39:36.600
<v Speaker 18>top that SPV is investing in another SPVs that's charging

0:39:36.840 --> 0:39:39.760
<v Speaker 18>another to and ten, and that's investing in another SPV

0:39:39.840 --> 0:39:40.960
<v Speaker 18>that's charging two and twenty.

0:39:41.160 --> 0:39:42.120
<v Speaker 2>Well, congratulations.

0:39:42.120 --> 0:39:44.400
<v Speaker 18>Even if those shares do exist, which there are questions

0:39:44.440 --> 0:39:47.080
<v Speaker 18>around that, if there is a liquidity event like an

0:39:47.120 --> 0:39:49.839
<v Speaker 18>IPO or a sale, you may be thinking that you're

0:39:49.880 --> 0:39:52.239
<v Speaker 18>only paying the initial fees, but in reality what you

0:39:52.360 --> 0:39:55.880
<v Speaker 18>end up getting distributed is much much smaller because of

0:39:55.920 --> 0:39:57.680
<v Speaker 18>those carry fees in that management fee.

0:39:57.840 --> 0:40:02.480
<v Speaker 4>Look, FOMO inspires a lot about and already you started

0:40:02.520 --> 0:40:05.759
<v Speaker 4>to see that behavior in this there is fraud or

0:40:05.719 --> 0:40:07.040
<v Speaker 4>at least allegations of fraud.

0:40:07.239 --> 0:40:10.960
<v Speaker 18>Yeah, and one person settle for those charges allegations of

0:40:11.000 --> 0:40:14.080
<v Speaker 18>fraud that they shares never actually existed. So cold outreach,

0:40:14.360 --> 0:40:16.799
<v Speaker 18>wire me your money. And even though I'm promising you

0:40:16.880 --> 0:40:19.240
<v Speaker 18>not providing those documents that I actually own the shares

0:40:19.239 --> 0:40:22.480
<v Speaker 18>of said private company or said fund, I'm putting it

0:40:22.520 --> 0:40:25.280
<v Speaker 18>in my bank account. And we have seen settlements already.

0:40:25.320 --> 0:40:26.960
<v Speaker 18>And the more people I talk to you, the more

0:40:27.000 --> 0:40:29.719
<v Speaker 18>this is potentially the tip of the iceberg because you

0:40:29.800 --> 0:40:32.279
<v Speaker 18>don't have these issues come to light until there is

0:40:32.360 --> 0:40:35.000
<v Speaker 18>a forced event. So when there is an IPO, when

0:40:35.040 --> 0:40:37.759
<v Speaker 18>people say, hey, looking for those SpaceX shares I owned,

0:40:37.920 --> 0:40:40.320
<v Speaker 18>well maybe they don't end up getting transferred to your account,

0:40:40.320 --> 0:40:41.440
<v Speaker 18>and that's where the issues show up.

0:40:42.520 --> 0:40:45.560
<v Speaker 2>Bloombost baby lip shots with the big take. Thank you

0:40:45.719 --> 0:40:46.080
<v Speaker 2>very much.

0:40:46.160 --> 0:40:48.680
<v Speaker 3>That does it carry for this edition of Bloomberg Tech.

0:40:49.120 --> 0:40:50.760
<v Speaker 4>Your father and I should come in all the time

0:40:50.960 --> 0:40:53.680
<v Speaker 4>on Fire at ludlay today on Fire, don't forget to

0:40:53.760 --> 0:40:55.480
<v Speaker 4>check out our podcast. You can find it on the

0:40:55.560 --> 0:40:59.040
<v Speaker 4>terminal so it's online on Apple, Spotify and iHeart this

0:40:59.120 --> 0:40:59.919
<v Speaker 4>is Bloomberg Tech.