WEBVTT - SoftBank’s Son Pitches $1 Trillion US AI Hub

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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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 ever Though in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up one trillion dollars for

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<v Speaker 2>a USAI hub, the latest big bet being pitched by SoftBank,

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<v Speaker 2>band of Masayosti's son. We dig into the reality of

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<v Speaker 2>the numbers. Plus Meta launches three hundred and ninety nine

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<v Speaker 2>dollars oakly AI glasses aimed at athletes and thrill seekers.

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<v Speaker 2>We discussed the surprise hit smart glasses and China's baid Eyes,

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<v Speaker 2>a Robotaxi expansion in Asia. We discuss the next steps

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<v Speaker 2>for a the adoption. But we're also eyeing what's happening

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<v Speaker 2>in terms of Middle East tensions. I want to move

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<v Speaker 2>into those Middle Eastern tensions as well, because look, more broadly,

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<v Speaker 2>we are seeing Israeli officials warning that Iran is tapping

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<v Speaker 2>into private, securely focused cameras to gather some information, particular

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<v Speaker 2>intelligence against adversaries.

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<v Speaker 3>Now it's going to be a.

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<v Speaker 2>Key focus that we've seen repeated with hamas with Russia

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<v Speaker 2>in other conflicts. Bloomberg's Mike Shephard joins US now on

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<v Speaker 2>what is some deep investigation, mic.

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<v Speaker 4>Cara.

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<v Speaker 5>This is something that highlights a longstanding vulnerability with surveillance cameras,

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<v Speaker 5>which have become ubiquitous around the world. When we look

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<v Speaker 5>in our homes, even you see those doorbell cameras, and

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<v Speaker 5>you go to any office or department store, there are

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<v Speaker 5>cameras everywhere, even on the streets. Yet the data that

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<v Speaker 5>is being gathered, the images, the footage is not necessarily

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<v Speaker 5>as secure. We've seen instances several years ago of hacks

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<v Speaker 5>of startups that had just reams of data from tens

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<v Speaker 5>of thousands of surveillance cameras. But there is also a

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<v Speaker 5>geopolitical concern as well, and we see the highlighted with

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<v Speaker 5>Israel warning citizens to either turn the cameras off or

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<v Speaker 5>at the very least update the passwords.

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<v Speaker 3>Okay.

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<v Speaker 2>So a key call to their own citizens at the

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<v Speaker 2>moment and one that will follow throughout. But from real

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<v Speaker 2>war tensions to the global trade war once more, Mike,

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<v Speaker 2>there's some really interesting news breaking very recently across the

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<v Speaker 2>BlueBag terminal coming from the Wall Street Journal talking about

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<v Speaker 2>how the US is preparing action targeting Allies chip plants

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<v Speaker 2>in China. In particular, there's talk of ending waivers for

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<v Speaker 2>the likes of TSMCSK, Heinek, Samsung that actually make chips

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<v Speaker 2>in China. Right, it seems to be trying to make

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<v Speaker 2>it harder for global chip makers basically to operate in China.

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<v Speaker 5>Well to a degree, yes, and the idea from the

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<v Speaker 5>Trump administration is to what they see it as according

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<v Speaker 5>to the journals reporting, level the playing field when it

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<v Speaker 5>comes to requirements for rare earths to be shipped to

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<v Speaker 5>the US. In other words, the same degree of licensing

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<v Speaker 5>required for that would soon be perhaps required for bringing

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<v Speaker 5>American technology, American chip making equipment into China or at

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<v Speaker 5>least updated or repaired in the Chinese market. Remember that TSMCSK, Heinix,

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<v Speaker 5>and Samsung produce a lot of chips for the American

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<v Speaker 5>market in China, but what they use is US equipment

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<v Speaker 5>and equipment from overseas. Use equipment would now need a license.

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<v Speaker 5>Rather than just getting a blanket waiver where you can

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<v Speaker 5>bring it in without having to check every time with

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<v Speaker 5>the US government, you would need that level of permission. Now,

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<v Speaker 5>this is not pertaining to the most advanced, the highest

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<v Speaker 5>end AI chips, for instance, this is a lot of

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<v Speaker 5>the legacy level semiconductors, the older generation chips that go

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<v Speaker 5>into automobiles, consumer electronics, and other lower end things. So

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<v Speaker 5>it's not exactly targeting the upper end that we've seen

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<v Speaker 5>the US government do, for instance by barring AMD in

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<v Speaker 5>video of course, from selling their most advanced AI chips. Instead,

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<v Speaker 5>this is taking aim in a different end of production

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<v Speaker 5>in China of certain kinds of chips.

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<v Speaker 2>Mike Sheffin breaking it all down for us around the world,

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<v Speaker 2>thank you so much. Now, look, there is another top

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<v Speaker 2>story that we're watching. SoftBank founder Massio Shei's son is

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<v Speaker 2>planning a trillion dollar industrial complex in Arizona. It's to

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<v Speaker 2>build robots. Further, it's AI endeavors. Look TSMC potentially playing

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<v Speaker 2>a key role here. Lumberg's Peter Elstrom joins us to

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<v Speaker 2>break it down.

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<v Speaker 3>One trillion is a lot, One trillion is a lot, Caroline.

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<v Speaker 6>Yeah, So Masio Sheisana has another big bowld vision. What

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<v Speaker 6>he's pitching companies like TSMC and Samsung on now is

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<v Speaker 6>building out these industrial parks and places like Arizona in

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<v Speaker 6>the United States. The ideal is to kind of appeal

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<v Speaker 6>to the Trump administration and try to bring some advanced

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<v Speaker 6>manufacturing back to the United States. Now. There are a

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<v Speaker 6>few related projects going on right now, and it's not

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<v Speaker 6>as crazy as it may sound at first. Blush TSMC,

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<v Speaker 6>for example, is trying to bring in a lot of

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<v Speaker 6>its suppliers into Arizona into the United States so that

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<v Speaker 6>it can produce more of the advanced chips within the country.

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<v Speaker 6>Samsung is doing a very similar thing in Texas. And

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<v Speaker 6>remember soft Bank spent years investing in startups and they

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<v Speaker 6>have hundreds of startups that would be able to put

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<v Speaker 6>facilities there. And the focus here is going to be

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<v Speaker 6>on AI and robotics. Those are two big areas for

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<v Speaker 6>their investments. So you could also see some soft Bank

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<v Speaker 6>backed companies move into these kinds of ventures.

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<v Speaker 2>Okay, so it doesn't sound as crazy as it seems

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<v Speaker 2>as how you articulate it, Peter, But we know that

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<v Speaker 2>actually promising money and deploying it at two very different things.

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<v Speaker 2>And actually Stargate, for example, already what massiochisn has been

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<v Speaker 2>wooing President Trump with and in line with Oracle and

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<v Speaker 2>Open Ai to build infrastructure in the US that's been

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<v Speaker 2>hard to deploy right.

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<v Speaker 6>Right, that's only five hundred billion in Carolina.

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<v Speaker 3>That's much more reasonable.

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<v Speaker 6>Yeah, they talked about the Stargate venture with open AI

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<v Speaker 6>in particular, where they're going to build out data centers

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<v Speaker 6>in the United States. That began as one hundred billion

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<v Speaker 6>dollar venture and then they said, hey, this could get

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<v Speaker 6>as big as five hundred billion dollars. But as we've reported,

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<v Speaker 6>they ran into some problems there in terms of the financing.

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<v Speaker 6>Some of the terriff issues that the Trump administration was

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<v Speaker 6>talking about ran into their ability to be able to

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<v Speaker 6>get banks on board, to be able to get the

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<v Speaker 6>money to be able to get some of these projects underway.

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<v Speaker 6>So that's going a little bit slow at this point.

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<v Speaker 6>And you're exactly right when it comes to this adventure

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<v Speaker 6>that we're talking about now, the industrial parks that also

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<v Speaker 6>would need financing. It's not clear how quickly they'd be

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<v Speaker 6>able to pull that together.

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<v Speaker 5>Now.

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<v Speaker 6>Selt Bank has had preliminary conversations with state officials, Howard

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<v Speaker 6>Lutnick's office at the Commerce Department in particular, so they

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<v Speaker 6>have begun some of these conversations. It's not clear exactly

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<v Speaker 6>how far along they are. It will depend on whether

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<v Speaker 6>they get some of the tax incentives that they want.

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<v Speaker 6>Some of the other corporate support to determine whether they're

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<v Speaker 6>going to be able to proceed.

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<v Speaker 2>Peter astrom Me, thank you for bringing us the story.

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<v Speaker 2>Let's dig in now with Jordan Klin. Mazuoko America's managing director,

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<v Speaker 2>actually wrote about this soft bank promise in his morning note.

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<v Speaker 3>You're joining us.

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<v Speaker 2>Now so much to cover you think this is perhaps

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<v Speaker 2>more of a marketing employee.

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<v Speaker 7>Yeah, that's that's where the you know, the skeptic in

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<v Speaker 7>me thinks it's it's a little bit more of that.

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<v Speaker 7>I mean, you never want to underestimate soft bank. And

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<v Speaker 7>when it comes to AI and robotics, I think there's

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<v Speaker 7>a lot of interest, particularly from the capital markets, but

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<v Speaker 7>you know, the size and the scale seem a little

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<v Speaker 7>bit trumped up, so to speak, I think, and the

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<v Speaker 7>timing I would question as well. Like and that's why

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<v Speaker 7>I don't think you're seeing the stocks move at all,

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<v Speaker 7>because investors are just kind of, you know, somewhat immune

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<v Speaker 7>to these sort of numbers that keep you know, going

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<v Speaker 7>up and up, but they're not necessarily you know, believing

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<v Speaker 7>that that's going to impact the stocks anytime soon.

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<v Speaker 2>I love that you say we're becoming immune to these

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<v Speaker 2>sorts of numbers. That sort of number was actually articulated

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<v Speaker 2>by Samumon a little bit ago with our own memory.

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<v Speaker 3>Chang, just take and listen to Sam's point here.

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<v Speaker 8>The interesting question is if we had if we knew

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<v Speaker 8>how to get a trillion dollars right now, if we don't,

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<v Speaker 8>would we be able to deploy that profitably in the

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<v Speaker 8>next few years? And I'm not sure about that, but

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<v Speaker 8>I feel confident we can like make five hundred million

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<v Speaker 8>value back.

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<v Speaker 2>Samonman is saying he's confident he can get half of

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<v Speaker 2>your money back if you give him a trillion. So, ultimately,

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<v Speaker 2>are these the right bets to be betting on as

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<v Speaker 2>an investor in the likely winners? Would you still allocate

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<v Speaker 2>to TSMC if indeed a trillion is talked about in

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<v Speaker 2>Arizona for example?

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<v Speaker 7>Well, I love TSM personally, and I really like a

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<v Speaker 7>lot of these AI compute names that are going to

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<v Speaker 7>facilitate a lot of this expansion into gen Ai. But honestly,

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<v Speaker 7>I don't think you need the trillion dollar headlines to

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<v Speaker 7>make these stocks look attractive or compelling. Everything in the

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<v Speaker 7>near term sounds like the demand for AI tokens and

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<v Speaker 7>inferencing is rising and Video is doing a great job

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<v Speaker 7>of improving the production and output of their new Blackwell

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<v Speaker 7>server racks and the cloud Hyperscalers who buy all this

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<v Speaker 7>equipment all seem keen to increase investment as opposed to

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<v Speaker 7>limited or low it down. So yeah, it's great when

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<v Speaker 7>soft Bank and others talk big picture plans down the road,

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<v Speaker 7>but I think there's just so much demand and interest

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<v Speaker 7>near term that investors should be focused, you know, more

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<v Speaker 7>on that and less on you know, big scale projects

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<v Speaker 7>that may or may not come about because as your

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<v Speaker 7>you know, prior analysts mentioned before this piece, you know,

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<v Speaker 7>there's a lot of regulation in government involvement that would

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<v Speaker 7>need to come to pass even before you can even entertain.

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<v Speaker 3>Some of this talking of government involvement.

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<v Speaker 2>That's perhaps what's in the eye of the storm for

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<v Speaker 2>investors right now.

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<v Speaker 3>I'm seeing nvidios of.

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<v Speaker 2>Near session lows at the moment and others that perhaps

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<v Speaker 2>make things in China, particularly chips, because there's Wall Street

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<v Speaker 2>Journal reporting saying that the US might make it even

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<v Speaker 2>harder to use US equipment in China, the likes of

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<v Speaker 2>tsmcsk Henich, Samsung, for example. How much of a headwind

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<v Speaker 2>is this for the overall semiconductor space.

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<v Speaker 7>Well, it's a great question, and I think what you're

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<v Speaker 7>seeing here is these reports get leaked or information from

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<v Speaker 7>the administration gets leaked to the press. They put out

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<v Speaker 7>stories that talk about potential restrictions that the US could

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<v Speaker 7>put on our intellectual property, our leading edge equipment and

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<v Speaker 7>technology that would go either to our allies or anyone

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<v Speaker 7>related to China. And in my opinion, this is similar

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<v Speaker 7>to the reports you heard on EDA software being blocked

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<v Speaker 7>or restricted from China when we were trying to get

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<v Speaker 7>those rare earth and magnet imports turned back on. So

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<v Speaker 7>what I think is happening is you have two big

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<v Speaker 7>Korean memory companies that make memory inside China, and the

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<v Speaker 7>US wants to get leverage in the current ongoing trade

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<v Speaker 7>negotiations with South Korea or maybe other Asian nations who

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<v Speaker 7>would be exposed to these rules, and so they throw

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<v Speaker 7>this out as well, we might restrict the ability to

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<v Speaker 7>get those leading edge tools, which would basically make those

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<v Speaker 7>fabs inefficient. It wouldn't shut them down, but if you

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<v Speaker 7>can't get the best latest equipment, it basically puts you

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<v Speaker 7>at a competitive disadvantage versus companies like Micron, So I

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<v Speaker 7>think it's more posturing and leverage, but it would be

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<v Speaker 7>a real It definitely doesn't help the sentiment across SEMIS.

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<v Speaker 7>And that's to answer your question, because anytime you bring

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<v Speaker 7>up government restrictions in China, it just puts some downward

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<v Speaker 7>pressure on SEMIS. But again, I don't necessarily think this

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<v Speaker 7>is what is going to happen anytime soon.

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<v Speaker 3>It's just a risk, just a risk, but people act

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<v Speaker 3>on those risks.

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<v Speaker 2>And as we see the socks Semi conduct To index

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<v Speaker 2>now trading off by one point seven percent, and it's

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<v Speaker 2>kla it's land research in particular in the headwinds. Can

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<v Speaker 2>you give us a sense of who in despite these

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<v Speaker 2>sorts of environment you just have to allocate to because well,

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<v Speaker 2>the positives just so outweigh. Does it still remain in

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<v Speaker 2>video all cases TSMC at all cases? Are they're more

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<v Speaker 2>nuanced plays to be had, because it feels as though

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<v Speaker 2>we've been ringing that one for a while.

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<v Speaker 7>Well, you mentioned the names that would be most at

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<v Speaker 7>risk would be the equipment company's kla ASML, potentially AMAT

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<v Speaker 7>and LAMB, and those stocks have been going up in

0:12:18.400 --> 0:12:20.720
<v Speaker 7>the face of a lot of concern that the US

0:12:20.840 --> 0:12:24.280
<v Speaker 7>could put further restrictions on those equipment and that those

0:12:24.320 --> 0:12:27.200
<v Speaker 7>tools going into China. So a lot of the people

0:12:27.240 --> 0:12:30.120
<v Speaker 7>I speak to are already cautious on the equipment stocks.

0:12:30.640 --> 0:12:33.640
<v Speaker 7>But what I actually think it definitely really won't impact

0:12:33.800 --> 0:12:39.880
<v Speaker 7>Nvidia in my opinion TSM. Honestly, again, demand exceed supply.

0:12:40.240 --> 0:12:43.400
<v Speaker 7>They're going to do fine. And the other name that

0:12:43.440 --> 0:12:45.520
<v Speaker 7>I would look at, as you mentioned, like who could

0:12:45.520 --> 0:12:50.199
<v Speaker 7>benefit is Micron. So Micron is the other large dram

0:12:50.480 --> 0:12:54.640
<v Speaker 7>nand flash memory supplier, and they don't have big factories

0:12:54.679 --> 0:12:58.439
<v Speaker 7>inside China. They're the only US memory company, so they're

0:12:58.480 --> 0:13:02.600
<v Speaker 7>like our leading champ and we want them to survive

0:13:02.679 --> 0:13:04.920
<v Speaker 7>and do well. And obviously they're going to try to

0:13:04.960 --> 0:13:07.880
<v Speaker 7>move more of their manufacturing into the United States, but

0:13:08.160 --> 0:13:10.480
<v Speaker 7>they would be at an advantage if the US was

0:13:10.559 --> 0:13:14.480
<v Speaker 7>to restrict Samsung and Heinez from getting those needed tools

0:13:14.520 --> 0:13:17.760
<v Speaker 7>in those Chinese facilities. And that's the one that's reporting

0:13:17.840 --> 0:13:19.839
<v Speaker 7>next week. That's the one I think that's going to

0:13:19.920 --> 0:13:24.440
<v Speaker 7>sound super bullish on demand for memory in AI, and

0:13:24.480 --> 0:13:26.440
<v Speaker 7>that's the one I think that could really be the

0:13:26.440 --> 0:13:27.760
<v Speaker 7>surprise upside winner.

0:13:28.760 --> 0:13:32.439
<v Speaker 2>Upside already up twenty eight percent so far. This month

0:13:32.480 --> 0:13:36.000
<v Speaker 2>they came out with real vision for allocating to R

0:13:36.040 --> 0:13:38.600
<v Speaker 2>and D here in America. But last week we'll wait

0:13:38.600 --> 0:13:40.560
<v Speaker 2>for their earnings a little bit later. As you say,

0:13:40.640 --> 0:13:42.800
<v Speaker 2>thank you so much Jordan Klin. Always great to have

0:13:42.880 --> 0:13:46.439
<v Speaker 2>him on from Mazuha coming up as Tesla prepares to

0:13:46.520 --> 0:13:51.400
<v Speaker 2>laun James robotaxi service. Well, the global competition in autonomous

0:13:51.400 --> 0:13:53.079
<v Speaker 2>cab space is heating.

0:13:52.800 --> 0:13:55.080
<v Speaker 3>Up A's next as Bluebertech.

0:14:03.440 --> 0:14:06.560
<v Speaker 2>Chinese technology giant Baidu well it is planning to expand

0:14:06.559 --> 0:14:09.320
<v Speaker 2>its robo taxi service in Singapore and Malaysia as as

0:14:09.360 --> 0:14:12.160
<v Speaker 2>early as this year, according to people familiar with the matter.

0:14:12.240 --> 0:14:15.040
<v Speaker 2>Now the company is in discussions with potential partners in

0:14:15.080 --> 0:14:18.439
<v Speaker 2>the two markets. By news Apollogo, it's about one thousand

0:14:18.679 --> 0:14:21.600
<v Speaker 2>self driving vehicles worldwide, mostly in China.

0:14:21.840 --> 0:14:22.040
<v Speaker 9>Now.

0:14:22.040 --> 0:14:25.120
<v Speaker 2>This newsicalse comes as Elon Musks Tesla prepares to launch

0:14:25.120 --> 0:14:28.320
<v Speaker 2>its robotaxi services in Austin this weekend. Let's get more

0:14:28.320 --> 0:14:31.280
<v Speaker 2>on the autonomous market. Karako comments here with us. She's

0:14:31.320 --> 0:14:33.600
<v Speaker 2>a professor of Civil and Transport engineering over at the

0:14:33.640 --> 0:14:35.040
<v Speaker 2>University of Texas at Austin.

0:14:35.360 --> 0:14:36.720
<v Speaker 3>Her work includes research on the.

0:14:36.640 --> 0:14:39.560
<v Speaker 2>Impact of bringing self driving cars to the roads and

0:14:39.680 --> 0:14:42.680
<v Speaker 2>kara for anyone who is worried about the safety involved here,

0:14:43.160 --> 0:14:45.800
<v Speaker 2>your data shows, look, we should be pursuing this path.

0:14:47.480 --> 0:14:47.720
<v Speaker 7>Yeah.

0:14:47.960 --> 0:14:50.600
<v Speaker 10>So, in an early paper, just looking at the kinds

0:14:50.640 --> 0:14:55.000
<v Speaker 10>of technologies that auto manufacturers already have, we expected about

0:14:55.040 --> 0:14:58.840
<v Speaker 10>an eighty five percent crash reduction and fatality reduction and

0:14:59.200 --> 0:15:02.240
<v Speaker 10>crash cost reduction, which is a lot of money because

0:15:02.280 --> 0:15:05.480
<v Speaker 10>Americans already lose about three thousand dollars a year per

0:15:05.560 --> 0:15:10.280
<v Speaker 10>capita every year to crash costs. And what we've already

0:15:10.280 --> 0:15:13.480
<v Speaker 10>seen is Weimo is hitting that target on the streets

0:15:13.480 --> 0:15:14.920
<v Speaker 10>of San Francisco.

0:15:15.360 --> 0:15:18.040
<v Speaker 11>Phoenix, and an La, where.

0:15:17.840 --> 0:15:20.600
<v Speaker 10>It's been comparing itself to the other drivers that are

0:15:20.600 --> 0:15:22.080
<v Speaker 10>on those exact same streets.

0:15:22.720 --> 0:15:26.480
<v Speaker 2>Of course, cost to vehicle owners, cost of life as well,

0:15:26.600 --> 0:15:28.680
<v Speaker 2>car is something that just everyone is so focused on,

0:15:28.960 --> 0:15:31.560
<v Speaker 2>but there has to be regulation that keeps up. China

0:15:31.640 --> 0:15:33.600
<v Speaker 2>is going at this full speed, so is Asian. We're

0:15:33.640 --> 0:15:36.880
<v Speaker 2>just talking about how bydo is rolling out across Singapore Malaysia.

0:15:37.360 --> 0:15:39.680
<v Speaker 2>Are we keeping pace with how quickly the innovation could

0:15:39.720 --> 0:15:40.840
<v Speaker 2>change here in the US?

0:15:41.880 --> 0:15:44.120
<v Speaker 10>Well, I think so thanks to Tesla, but of course

0:15:44.160 --> 0:15:47.280
<v Speaker 10>they also have a gigafactory in China, and so China

0:15:47.400 --> 0:15:50.320
<v Speaker 10>may have access to all of that intellectual property and

0:15:50.680 --> 0:15:54.160
<v Speaker 10>be able to mimic it quickly to catch up with

0:15:54.720 --> 0:15:57.000
<v Speaker 10>Tesla with a Chinese based company.

0:15:57.680 --> 0:16:00.480
<v Speaker 2>Okay, so thanks to Tesla, thanks to Weimo, thanks Zooks,

0:16:00.480 --> 0:16:02.000
<v Speaker 2>who we had on earlier in the week. There is

0:16:02.040 --> 0:16:04.720
<v Speaker 2>plenty of companies that are showing that it can be done.

0:16:04.920 --> 0:16:07.160
<v Speaker 2>Just remind us of also not the cost implications from

0:16:07.160 --> 0:16:11.680
<v Speaker 2>an insurance perspective, but more broadly, how much easier, how

0:16:11.720 --> 0:16:14.920
<v Speaker 2>much more cost efficient will it be to make these vehicles,

0:16:14.920 --> 0:16:16.960
<v Speaker 2>Because look, zuks is saying it's going to make ten

0:16:17.040 --> 0:16:20.160
<v Speaker 2>thousand in the next few years or so per year

0:16:20.240 --> 0:16:22.920
<v Speaker 2>in their new facility. But all of these means they're

0:16:22.920 --> 0:16:24.880
<v Speaker 2>pretty expensive pieces of equipment as it stands.

0:16:26.080 --> 0:16:30.080
<v Speaker 10>Right so people are estimating that the Waimo vehicles right now,

0:16:30.120 --> 0:16:33.640
<v Speaker 10>which are on a very expensive Jaguar Ipace, which is

0:16:33.680 --> 0:16:36.800
<v Speaker 10>a suggested retail price of seventy five thousand, I think,

0:16:36.840 --> 0:16:39.880
<v Speaker 10>so add another seventy five thousand to get all of

0:16:39.920 --> 0:16:42.440
<v Speaker 10>the lighter and everything else installed. But if you can

0:16:42.560 --> 0:16:45.560
<v Speaker 10>install it all directly on the assembly line in one

0:16:45.600 --> 0:16:48.320
<v Speaker 10>coherent piece, that the cost comes down a bit, and

0:16:48.320 --> 0:16:51.640
<v Speaker 10>of course weimo's not in the business of actually manufacturing

0:16:51.680 --> 0:16:53.880
<v Speaker 10>the vehicles and Tesla is and if you go to

0:16:53.920 --> 0:16:56.800
<v Speaker 10>the Tesla website, I think they're offering the technology for

0:16:56.880 --> 0:17:00.000
<v Speaker 10>eight thousand dollars up front, plus another one hundred dollars

0:17:00.240 --> 0:17:02.920
<v Speaker 10>a month, and so that starts to sound pretty reasonable.

0:17:03.280 --> 0:17:05.440
<v Speaker 10>And we do expect those costs to come down long

0:17:05.560 --> 0:17:09.120
<v Speaker 10>term to maybe under five thousand dollars off the top.

0:17:09.200 --> 0:17:11.600
<v Speaker 10>And if you have to have a monthly check fee

0:17:11.680 --> 0:17:15.200
<v Speaker 10>or something, so they're updating, you know, to new standards

0:17:15.240 --> 0:17:18.119
<v Speaker 10>each month, and there might be another fifty dollars fee

0:17:18.160 --> 0:17:18.720
<v Speaker 10>on top of that.

0:17:18.800 --> 0:17:23.440
<v Speaker 2>I suppose talk to us therefore about how FSD seems

0:17:23.560 --> 0:17:26.440
<v Speaker 2>to work at the moment, because we hear on both

0:17:26.480 --> 0:17:28.679
<v Speaker 2>sides the equation. Many love it, Many feel that it

0:17:28.720 --> 0:17:32.640
<v Speaker 2>is incredibly efficient. Others say there are still so many holes,

0:17:32.680 --> 0:17:35.280
<v Speaker 2>so many ways in which that it underperforms. We cannot

0:17:35.359 --> 0:17:37.639
<v Speaker 2>roll it out yet in the United States.

0:17:38.240 --> 0:17:39.440
<v Speaker 11>Well, it's already out there.

0:17:39.560 --> 0:17:42.479
<v Speaker 10>So a lot of us have friends and neighbors and

0:17:42.560 --> 0:17:45.359
<v Speaker 10>people just alongside us in the traffic stream and you

0:17:45.440 --> 0:17:48.480
<v Speaker 10>may not notice because there is somebody in that driver's seat,

0:17:48.480 --> 0:17:51.199
<v Speaker 10>but they are in FSD mode, and so I believe

0:17:51.240 --> 0:17:56.240
<v Speaker 10>they've driven billions, billions of miles already, whereas the Waymouth

0:17:56.240 --> 0:18:01.119
<v Speaker 10>fleet has gone about sixty million miles of rider only.

0:18:01.200 --> 0:18:02.680
<v Speaker 11>So nobody in the driver's seat.

0:18:02.680 --> 0:18:04.960
<v Speaker 10>And that's the big jump here, is that they're they're

0:18:04.960 --> 0:18:08.840
<v Speaker 10>tweaking the algorithms so that the car will be able

0:18:08.840 --> 0:18:12.760
<v Speaker 10>to move without somebody in that driver's seat and will

0:18:12.760 --> 0:18:15.160
<v Speaker 10>do a lot of the parking, which they're not doing

0:18:15.240 --> 0:18:18.439
<v Speaker 10>right now for the owners of FSD who paid that

0:18:18.480 --> 0:18:21.119
<v Speaker 10>eight thousand dollars plus one hundred dollars a month, and

0:18:21.200 --> 0:18:24.400
<v Speaker 10>of course have to be in that driver's seat legally,

0:18:24.480 --> 0:18:27.000
<v Speaker 10>have to be a licensed driver and have to keep

0:18:27.040 --> 0:18:30.199
<v Speaker 10>their eyes open, you know, much of the time. But

0:18:30.280 --> 0:18:33.119
<v Speaker 10>when I was in that driver's seat, I did nothing.

0:18:33.280 --> 0:18:35.920
<v Speaker 10>It was very precise, It was very impressive on very

0:18:36.440 --> 0:18:40.639
<v Speaker 10>complex network here, the routes that we were taking, but

0:18:40.720 --> 0:18:43.840
<v Speaker 10>it was broad daylight. And the one thing I noticed is,

0:18:43.880 --> 0:18:45.840
<v Speaker 10>you know, it does go above the posted speed limit

0:18:45.880 --> 0:18:48.119
<v Speaker 10>to keep up with the traffic around it, which the

0:18:48.119 --> 0:18:49.320
<v Speaker 10>Waymo vehicles don't do.

0:18:49.680 --> 0:18:51.640
<v Speaker 11>And it also came, you know, a lot.

0:18:51.680 --> 0:18:54.600
<v Speaker 10>It was much more confident around pedestrians and scooters and

0:18:54.640 --> 0:18:58.520
<v Speaker 10>cyclists than I would normally be as a driver myself.

0:18:58.560 --> 0:19:01.040
<v Speaker 11>So that's where I'm a little bit nervous. If somebody

0:19:01.080 --> 0:19:02.520
<v Speaker 11>turns around mid stream.

0:19:02.600 --> 0:19:06.560
<v Speaker 10>You know, you've seen the images of scooters falling in

0:19:06.560 --> 0:19:07.000
<v Speaker 10>front of.

0:19:06.960 --> 0:19:07.320
<v Speaker 11>A way MO.

0:19:07.680 --> 0:19:10.120
<v Speaker 10>That would be tough, So there will be some really

0:19:10.119 --> 0:19:13.640
<v Speaker 10>hard breaking or maneuvering if they're going to avoid those

0:19:13.720 --> 0:19:14.400
<v Speaker 10>kinds of crashes.

0:19:14.440 --> 0:19:16.080
<v Speaker 11>So that's that's something I'd be watching out for.

0:19:16.720 --> 0:19:19.640
<v Speaker 2>And when it comes to well keeping in the speed limit,

0:19:19.680 --> 0:19:21.720
<v Speaker 2>there are some settings you can adjustice there. Kara, We

0:19:21.760 --> 0:19:24.240
<v Speaker 2>thank you Kara Kocheman. She's the professor at the University

0:19:24.320 --> 0:19:33.359
<v Speaker 2>of Texas At Austin. Meta is rolling out new aiglasses

0:19:33.400 --> 0:19:36.840
<v Speaker 2>with Oakley that are targeted to athletes. The new versions,

0:19:36.880 --> 0:19:39.200
<v Speaker 2>which start at three hundred and ninety nine dollars, include

0:19:39.240 --> 0:19:43.360
<v Speaker 2>improved video quality features like water resistance. Man Neat Singh

0:19:43.520 --> 0:19:46.399
<v Speaker 2>are in house athlete and Bloomberg intelligence.

0:19:46.280 --> 0:19:47.919
<v Speaker 3>Writer talks to us a little bit.

0:19:47.960 --> 0:19:49.760
<v Speaker 2>Look it's funny the way the story is written by

0:19:49.800 --> 0:19:51.960
<v Speaker 2>Mark German. He says people are using them also for

0:19:52.000 --> 0:19:54.400
<v Speaker 2>thrill seeking. They're getting on roller coasters and using them.

0:19:54.600 --> 0:19:57.520
<v Speaker 2>Why are these Oakley versions going to be better?

0:19:58.480 --> 0:20:00.480
<v Speaker 12>I mean, it just turns out to be a better

0:20:00.560 --> 0:20:03.200
<v Speaker 12>phone factor. When you think about, you know, the ray

0:20:03.240 --> 0:20:07.840
<v Speaker 12>Bang glasses compared to the VR headset, I would say

0:20:07.920 --> 0:20:11.960
<v Speaker 12>it's a much easier phone factor to use, you know,

0:20:12.080 --> 0:20:15.359
<v Speaker 12>as an AI glass. But at the same time, I

0:20:15.400 --> 0:20:19.760
<v Speaker 12>think they also realized that the VR headset weren't really

0:20:20.119 --> 0:20:25.040
<v Speaker 12>as impressive to use from a gross margin perspective, So

0:20:25.240 --> 0:20:27.720
<v Speaker 12>I think the ray Band glasses and the oak Ley

0:20:27.840 --> 0:20:32.639
<v Speaker 12>glasses probably are better from a gross margin standpoint. And look,

0:20:32.920 --> 0:20:36.000
<v Speaker 12>in the case of Meta, we know they'll be losing

0:20:36.040 --> 0:20:39.280
<v Speaker 12>about twenty billion dollars this year on reality labs, and

0:20:39.320 --> 0:20:42.359
<v Speaker 12>there is no line of sight in terms of when

0:20:42.480 --> 0:20:45.200
<v Speaker 12>this is going to get profitable or you know, when

0:20:45.240 --> 0:20:47.960
<v Speaker 12>the economies of scale will kick in. So from that

0:20:48.040 --> 0:20:51.399
<v Speaker 12>standpoint as well, I think it's a better pivot for

0:20:51.560 --> 0:20:55.360
<v Speaker 12>them to focus on their glasses compared to the VR headset,

0:20:55.400 --> 0:20:59.000
<v Speaker 12>where they were doing all the manufacturing themselves from the

0:20:59.040 --> 0:20:59.560
<v Speaker 12>ground up.

0:21:00.000 --> 0:21:02.520
<v Speaker 2>They stick to display lists, or at least they enhance

0:21:02.600 --> 0:21:04.639
<v Speaker 2>the offering on display lists. How many of these do

0:21:04.680 --> 0:21:07.120
<v Speaker 2>you think they're actually going to be able to sell overall?

0:21:07.160 --> 0:21:10.240
<v Speaker 2>Because you run the numbers with your latest big Yes, I.

0:21:10.359 --> 0:21:13.280
<v Speaker 12>Have So look, when it comes to Apple Watch, they

0:21:13.280 --> 0:21:16.800
<v Speaker 12>are about forty million units sold. Air pods are about

0:21:16.920 --> 0:21:19.840
<v Speaker 12>you know, er take seventy to eighty million in a year.

0:21:20.280 --> 0:21:24.200
<v Speaker 12>Raybang glasses were about one million, and we are headsets

0:21:24.320 --> 0:21:28.600
<v Speaker 12>were about seven million last year. So adding Oakley, which

0:21:28.640 --> 0:21:32.040
<v Speaker 12>has the same parent company we're talking about, maybe it

0:21:32.119 --> 0:21:35.800
<v Speaker 12>scales from one to two million this year, but it

0:21:36.000 --> 0:21:39.200
<v Speaker 12>still doesn't match the scale of an Apple simply because

0:21:39.280 --> 0:21:42.600
<v Speaker 12>the ecosystem that Apple has with the content and the

0:21:42.720 --> 0:21:46.119
<v Speaker 12>app store, it's so hard to replicate for a meta,

0:21:46.200 --> 0:21:48.760
<v Speaker 12>and that's been their challenge, even though they have invested

0:21:48.800 --> 0:21:51.840
<v Speaker 12>so much. So to my mind, ecosystem is where a

0:21:51.920 --> 0:21:54.639
<v Speaker 12>meta lacks, and it'll be a hard thing to scale

0:21:54.720 --> 0:21:56.680
<v Speaker 12>up even with the Oakly glasses.

0:21:56.840 --> 0:21:59.520
<v Speaker 3>And I'm saying, I'm Brett meg Intelligence. We thank you.

0:22:05.320 --> 0:22:08.160
<v Speaker 3>Welcome back to Blueberg Tech and Karen Hydeen, New York,

0:22:08.600 --> 0:22:10.480
<v Speaker 3>not in London. Let's get a pict check on these

0:22:10.520 --> 0:22:11.679
<v Speaker 3>markets because as.

0:22:11.560 --> 0:22:14.440
<v Speaker 2>We stand, we are currently down about one point three

0:22:14.440 --> 0:22:16.760
<v Speaker 2>percent and we've got anxiety building, whether or not it's

0:22:16.760 --> 0:22:18.680
<v Speaker 2>about Middle East tensions, whether or not it's about yet

0:22:18.720 --> 0:22:24.080
<v Speaker 2>further restrictions on international chip makers making chips with US

0:22:24.080 --> 0:22:25.959
<v Speaker 2>equipment in China. That was a key story coming from

0:22:26.000 --> 0:22:27.680
<v Speaker 2>the Wall Street Journal put some pressure on the chip

0:22:27.680 --> 0:22:29.960
<v Speaker 2>stocks in particular or off by one and a quarter percent,

0:22:30.000 --> 0:22:32.400
<v Speaker 2>as we're also just embracing ourselves with some.

0:22:32.400 --> 0:22:33.920
<v Speaker 3>Volatility into the end of.

0:22:33.840 --> 0:22:37.159
<v Speaker 2>The day's close that of course, as we anticipate triple witching.

0:22:37.400 --> 0:22:40.119
<v Speaker 3>But DOLLI what resolutely remains high AMD.

0:22:40.200 --> 0:22:41.600
<v Speaker 2>We're up one and a half percent on the day,

0:22:41.640 --> 0:22:44.280
<v Speaker 2>we were up ten percent on the week AMD. Lisa

0:22:44.320 --> 0:22:47.280
<v Speaker 2>sou that discussion about where they go next with their

0:22:47.280 --> 0:22:50.640
<v Speaker 2>own generative AI chips really ringing through when she presented

0:22:50.720 --> 0:22:53.119
<v Speaker 2>last week. We've continued on the higher side for this

0:22:53.200 --> 0:22:55.719
<v Speaker 2>particular stock meta though off by one point four percent.

0:22:55.920 --> 0:22:57.119
<v Speaker 3>Interesting as they say, look.

0:22:57.000 --> 0:23:01.679
<v Speaker 2>We've got the latest and greatest Oakley AI glasses. Market

0:23:01.840 --> 0:23:04.520
<v Speaker 2>less convinced as it stams. But let's talk about another

0:23:04.600 --> 0:23:07.760
<v Speaker 2>key top corporate story, Microsoft planning to cut thousands of jobs,

0:23:07.800 --> 0:23:10.800
<v Speaker 2>particularly in sales. The company tries to trim its workforce,

0:23:10.800 --> 0:23:14.040
<v Speaker 2>I mean heavy spending on artificial intelligence that's bringing bluebags

0:23:14.080 --> 0:23:15.879
<v Speaker 2>proty Ford. This has been sort of a story that

0:23:16.040 --> 0:23:17.960
<v Speaker 2>we get a drip feed on who is it hitting

0:23:17.960 --> 0:23:18.399
<v Speaker 2>this time?

0:23:19.480 --> 0:23:21.760
<v Speaker 9>A lot of people see this, and they get confused because

0:23:21.800 --> 0:23:25.480
<v Speaker 9>they say, Microsoft world's most valuable company. Most days, they're

0:23:25.480 --> 0:23:28.040
<v Speaker 9>making all this money, why do they keep firing people?

0:23:28.440 --> 0:23:30.480
<v Speaker 9>A big part of it is because, you know, you

0:23:30.560 --> 0:23:32.760
<v Speaker 9>got to start spending eighty billion dollars a year on

0:23:32.960 --> 0:23:35.399
<v Speaker 9>AI data centers, and you don't want your margins to

0:23:35.440 --> 0:23:38.119
<v Speaker 9>move so much. And now we're seeing that there's this

0:23:38.280 --> 0:23:41.520
<v Speaker 9>kind of recurring rolling layoff. They laid off about six

0:23:41.560 --> 0:23:44.199
<v Speaker 9>thousand people a month or two ago. Now it's the

0:23:44.240 --> 0:23:46.080
<v Speaker 9>end of the fiscal year. And now who turns it

0:23:46.119 --> 0:23:49.439
<v Speaker 9>to get fired salespeople? And so it's something has happened

0:23:49.440 --> 0:23:52.320
<v Speaker 9>a bit in the social contract of these large companies

0:23:52.359 --> 0:23:55.040
<v Speaker 9>where these rolling layoffs have become much more common. And

0:23:55.080 --> 0:23:56.480
<v Speaker 9>it's not just Microsoft.

0:23:56.720 --> 0:23:59.840
<v Speaker 2>I'm talking of contracts. There's a contract between open ai

0:23:59.880 --> 0:24:01.800
<v Speaker 2>and Microsoft, and that seems to be getting ever more

0:24:01.840 --> 0:24:04.040
<v Speaker 2>contentious at the moment. Bring us the latest prodi on

0:24:04.119 --> 0:24:08.159
<v Speaker 2>just how open ai is competing against the hand that feeds.

0:24:08.520 --> 0:24:10.720
<v Speaker 9>Yeah, that was a nice transition. I mean, you know,

0:24:10.880 --> 0:24:14.080
<v Speaker 9>Microsoft inked this contract with open ai back in twenty

0:24:14.200 --> 0:24:16.719
<v Speaker 9>nineteen at the point a kind of you know, fledgling

0:24:17.359 --> 0:24:20.360
<v Speaker 9>AI startup, which is now one of the most powerful

0:24:20.400 --> 0:24:22.240
<v Speaker 9>companies in the world with a lot of leverage, and

0:24:22.280 --> 0:24:24.280
<v Speaker 9>they probably want a lot of things that are not

0:24:24.680 --> 0:24:27.960
<v Speaker 9>in that contours or that initial contract. And so you know,

0:24:28.119 --> 0:24:31.000
<v Speaker 9>essentially open ai wants to restructure itself. Who needs to

0:24:31.040 --> 0:24:34.960
<v Speaker 9>sign off on that. It's largest shareholder Microsoft. So there's

0:24:35.000 --> 0:24:38.280
<v Speaker 9>been a kind of drip drip of information around where

0:24:38.320 --> 0:24:42.320
<v Speaker 9>these disagreements are, where Microsoft wants to hold control, where

0:24:42.359 --> 0:24:45.800
<v Speaker 9>open ai wants to you know, it's it's the teenager

0:24:45.840 --> 0:24:47.560
<v Speaker 9>that's angry at their parent and wants to move out

0:24:47.600 --> 0:24:49.040
<v Speaker 9>of their house, but they got to figure out the

0:24:49.080 --> 0:24:49.800
<v Speaker 9>details still.

0:24:50.040 --> 0:24:52.600
<v Speaker 2>I love the analogies, and they're moving out of the

0:24:52.600 --> 0:24:55.520
<v Speaker 2>house of Microsoft to get compute from others and also

0:24:55.600 --> 0:24:58.320
<v Speaker 2>get money from others, largely Massouchy Son, who we know

0:24:58.400 --> 0:25:01.560
<v Speaker 2>has got big visions when it comes to Arizona today, Brody,

0:25:01.840 --> 0:25:03.719
<v Speaker 2>but just talk to us about why the tensions are

0:25:03.760 --> 0:25:05.200
<v Speaker 2>really hitting a focus point now.

0:25:05.760 --> 0:25:08.880
<v Speaker 9>The focus point now is because open ai wants to restructure,

0:25:08.920 --> 0:25:11.280
<v Speaker 9>and it's we've been hearing for a long time now

0:25:11.280 --> 0:25:15.320
<v Speaker 9>about negotiations between them and Microsoft. And you know, Microsoft,

0:25:15.400 --> 0:25:18.679
<v Speaker 9>as you pointed out, they made some changes that Okay,

0:25:18.720 --> 0:25:23.080
<v Speaker 9>you want so much compute. Maybe we don't want to

0:25:23.320 --> 0:25:25.199
<v Speaker 9>give all that compute, so we're going to allow you

0:25:25.240 --> 0:25:27.440
<v Speaker 9>to go seek it from others. Seek it from Oracle,

0:25:27.560 --> 0:25:29.920
<v Speaker 9>seek it from you know, they're getting some from core

0:25:30.040 --> 0:25:32.040
<v Speaker 9>Weave now. And so we are seeing little bits and

0:25:32.119 --> 0:25:35.840
<v Speaker 9>changes in the contract. I mean, you know Microsoft put

0:25:35.840 --> 0:25:39.160
<v Speaker 9>in I think it was fourteen billion dollars. They are

0:25:39.240 --> 0:25:41.680
<v Speaker 9>a savvy shop. They're going to make sure they get

0:25:41.760 --> 0:25:44.040
<v Speaker 9>their full ROI here, lu.

0:25:44.000 --> 0:25:45.919
<v Speaker 3>Meg's Brody Ford. We appreciate it.

0:25:45.960 --> 0:25:49.080
<v Speaker 2>Thank you so much as shift gears talk quantum now

0:25:49.080 --> 0:25:52.280
<v Speaker 2>because IBM has announced the latest milestone in its roadmap

0:25:52.320 --> 0:25:55.480
<v Speaker 2>to bring quantum computing into the future, planning to build

0:25:55.480 --> 0:25:57.200
<v Speaker 2>the world's first fault.

0:25:56.920 --> 0:25:59.080
<v Speaker 3>Tolerant quantum computer by twenty twenty nine.

0:25:59.240 --> 0:26:02.920
<v Speaker 2>It's called them Starling and expected to perform twenty thousand

0:26:03.080 --> 0:26:06.600
<v Speaker 2>times more operations than today's current quantum computers. Joining us

0:26:06.640 --> 0:26:11.359
<v Speaker 2>now Jerry Chow, IBM, Fellow Director of Quantum Systems. And

0:26:11.400 --> 0:26:15.000
<v Speaker 2>this is a new error correcting code. You say, basically

0:26:15.119 --> 0:26:17.560
<v Speaker 2>it cracks the code on science challenges of actually making

0:26:17.640 --> 0:26:18.480
<v Speaker 2>quantum of reality.

0:26:18.680 --> 0:26:19.280
<v Speaker 13>Absolutely.

0:26:19.320 --> 0:26:21.440
<v Speaker 4>I mean the whole here, the whole thing here is

0:26:21.440 --> 0:26:23.760
<v Speaker 4>that we crack the code in actually building something that's

0:26:23.800 --> 0:26:27.160
<v Speaker 4>realistic and planning for this with the full architecture, which

0:26:27.320 --> 0:26:29.520
<v Speaker 4>gives us the roadmap to go year of the year

0:26:29.560 --> 0:26:31.800
<v Speaker 4>of new technologies to hit that milestone in twenty twenty

0:26:31.920 --> 0:26:33.640
<v Speaker 4>nine with IBM Starling, can you.

0:26:33.560 --> 0:26:35.800
<v Speaker 2>Take us from here in twenty twenty five to twenty

0:26:35.880 --> 0:26:36.800
<v Speaker 2>twenty nine what.

0:26:36.960 --> 0:26:38.000
<v Speaker 3>Needs to be achieved?

0:26:38.000 --> 0:26:40.680
<v Speaker 2>Because there is so much hype, we kind of want

0:26:40.680 --> 0:26:42.760
<v Speaker 2>to disentangle what actually becomes reality.

0:26:42.880 --> 0:26:44.440
<v Speaker 13>Yeah, no, absolutely, there's a great question.

0:26:44.480 --> 0:26:46.200
<v Speaker 4>There's a lot of work that's been going on within

0:26:46.320 --> 0:26:50.240
<v Speaker 4>small demonstrations of error correction and the concepts that make

0:26:50.320 --> 0:26:52.560
<v Speaker 4>us believe that air creation can work. But what reve

0:26:52.640 --> 0:26:55.520
<v Speaker 4>defined is a technology roadmap that takes us from an

0:26:55.640 --> 0:26:58.439
<v Speaker 4>error correct did memory and the technologies that go into that,

0:26:58.880 --> 0:27:03.280
<v Speaker 4>then into operation across multiple memories, and then into a

0:27:03.400 --> 0:27:06.639
<v Speaker 4>large a larger scale system that brings in the operations

0:27:06.680 --> 0:27:09.040
<v Speaker 4>that are needed for a universal control to do any

0:27:09.119 --> 0:27:11.199
<v Speaker 4>kind of algorithm that gets us the Starling.

0:27:11.240 --> 0:27:13.560
<v Speaker 13>So a year after year of new technologies in our roadmap.

0:27:13.720 --> 0:27:14.840
<v Speaker 3>Okay, people are excited.

0:27:14.920 --> 0:27:17.400
<v Speaker 2>IBM shares are at a record high, and I'm sure

0:27:17.440 --> 0:27:20.119
<v Speaker 2>there's no surprise that has come in tank At the

0:27:20.200 --> 0:27:23.159
<v Speaker 2>same time as some of your announcements, can you talk

0:27:23.240 --> 0:27:25.800
<v Speaker 2>to us about them different ways that different companies are

0:27:25.800 --> 0:27:28.760
<v Speaker 2>deploying this, because we've had, you know, a year or

0:27:28.760 --> 0:27:30.399
<v Speaker 2>so ago, what was it, the Heron chip from you

0:27:30.440 --> 0:27:32.639
<v Speaker 2>guys really set the pet bar. But we've also had

0:27:32.680 --> 0:27:35.240
<v Speaker 2>the Willow chip coming from the likes of Google. You've

0:27:35.240 --> 0:27:37.320
<v Speaker 2>had as a lot out of Amazon, and there are

0:27:37.440 --> 0:27:39.919
<v Speaker 2>different ways of doing quantum, that's right. How is what

0:27:39.960 --> 0:27:42.160
<v Speaker 2>you're doing different from some of the other competitors.

0:27:42.240 --> 0:27:44.800
<v Speaker 4>Yeah, so I think we've really taken approach of getting

0:27:44.800 --> 0:27:47.840
<v Speaker 4>this out there and really building the whole ecosystem around us.

0:27:47.920 --> 0:27:49.639
<v Speaker 4>We've actually been putting these out on the clouds in

0:27:49.720 --> 0:27:52.440
<v Speaker 4>twenty sixteen, first just a five cubet machine back then, right,

0:27:52.800 --> 0:27:56.199
<v Speaker 4>and we've been successfully scaling since then, and we have

0:27:56.280 --> 0:27:58.840
<v Speaker 4>multiple one hundred cube machines the Heroin processors that.

0:27:58.800 --> 0:28:00.720
<v Speaker 13>Are available to our cloud users today.

0:28:00.800 --> 0:28:04.280
<v Speaker 4>So there's an ecosystem of many users in companies that

0:28:04.320 --> 0:28:08.680
<v Speaker 4>are leveraging our machines to actually find and discover new

0:28:08.800 --> 0:28:09.880
<v Speaker 4>algorithms and applications.

0:28:09.880 --> 0:28:11.840
<v Speaker 3>When you see many users, what are we talking about.

0:28:12.000 --> 0:28:13.800
<v Speaker 13>We have over five hundred thousand users.

0:28:13.840 --> 0:28:16.159
<v Speaker 4>We have a business ecosystem, our IBM Quantum network of

0:28:16.600 --> 0:28:22.040
<v Speaker 4>nearly three hundred institutions, companies, startups, national laboratories, academia.

0:28:22.119 --> 0:28:24.360
<v Speaker 2>And the reason everyone gets so excited when we hear

0:28:24.400 --> 0:28:26.159
<v Speaker 2>of the latest greatest chip, when we hear of a

0:28:26.240 --> 0:28:28.720
<v Speaker 2>roadmap to twenty twenty nine is because of the things

0:28:28.800 --> 0:28:31.199
<v Speaker 2>it could do. Absolutely, what are they doing it with

0:28:31.320 --> 0:28:33.119
<v Speaker 2>these five thousand people that are already out there.

0:28:33.200 --> 0:28:34.800
<v Speaker 4>Yeah, So, like there's a lot of there's a lot

0:28:34.800 --> 0:28:37.320
<v Speaker 4>of work that's getting ready for the larger systems, but

0:28:37.400 --> 0:28:39.520
<v Speaker 4>also we're in this phase where we're going to hit

0:28:39.600 --> 0:28:40.840
<v Speaker 4>quantum advantage in the.

0:28:40.800 --> 0:28:43.040
<v Speaker 13>Next few years. Quantum it's when we can.

0:28:43.000 --> 0:28:46.720
<v Speaker 4>Do something that's cheaper, faster, or more accurately using a

0:28:46.800 --> 0:28:50.360
<v Speaker 4>quantum computer plus classical computer than just a classical computer alone.

0:28:50.400 --> 0:28:54.400
<v Speaker 2>It's like AGI, but for quantum versus versus normal computers.

0:28:54.560 --> 0:28:56.640
<v Speaker 4>And you're already starting to see the intrusion of using

0:28:56.680 --> 0:28:59.719
<v Speaker 4>it with high performance supercomputers to look at things like

0:29:00.040 --> 0:29:03.200
<v Speaker 4>lecular structure, which is a very hard problem that you

0:29:03.400 --> 0:29:05.760
<v Speaker 4>tend to only use high performance computers for.

0:29:06.240 --> 0:29:09.240
<v Speaker 2>And that is why everyone thinks medical applications are gonna

0:29:09.240 --> 0:29:11.520
<v Speaker 2>be so important. But everyone's also got very excited about

0:29:11.520 --> 0:29:14.240
<v Speaker 2>the fact that quantum's gonna help with generas of AI.

0:29:14.560 --> 0:29:16.239
<v Speaker 3>How is that feeding into you right now?

0:29:16.320 --> 0:29:18.160
<v Speaker 4>Yeah, it's a really really good point because I think,

0:29:18.240 --> 0:29:20.280
<v Speaker 4>you know, AI is the buzz of Obviously quantum is

0:29:20.280 --> 0:29:23.040
<v Speaker 4>also coming right right right at the same time, I

0:29:23.040 --> 0:29:25.560
<v Speaker 4>think the way to think about it is it's additive. Right,

0:29:25.600 --> 0:29:28.440
<v Speaker 4>there are certain algorithms in the AI space that quantum

0:29:28.440 --> 0:29:30.600
<v Speaker 4>can help with. But also what we see here is

0:29:30.640 --> 0:29:34.560
<v Speaker 4>really that we're defining the future of computing. It's really bits, neurons,

0:29:34.640 --> 0:29:37.360
<v Speaker 4>and cubits, right, they all need to be working together

0:29:37.400 --> 0:29:40.320
<v Speaker 4>in an architecture we call quantum centric supercomputing. So you're

0:29:40.360 --> 0:29:43.120
<v Speaker 4>gonna have your CPUs, you're gonna have your GPUs, and

0:29:43.120 --> 0:29:45.840
<v Speaker 4>we're going to have your QPUs as well, all working

0:29:45.880 --> 0:29:48.920
<v Speaker 4>together to solve problems that best leverage each of those

0:29:48.960 --> 0:29:52.400
<v Speaker 4>modalities for parts of the problem and giving you overall

0:29:52.480 --> 0:29:53.440
<v Speaker 4>more power.

0:29:53.560 --> 0:29:56.920
<v Speaker 2>By putting it in the hands of people. Power probably

0:29:57.000 --> 0:29:59.400
<v Speaker 2>is one of the key words you're thinking of. Is

0:29:59.440 --> 0:30:01.200
<v Speaker 2>that going to be a bottleneck? We thin thinking about

0:30:01.240 --> 0:30:03.360
<v Speaker 2>how power and infrastructure is the limiting factor when it

0:30:03.360 --> 0:30:04.360
<v Speaker 2>comes to AI right now.

0:30:04.480 --> 0:30:06.920
<v Speaker 4>I mean, certainly one of the key selling points for

0:30:07.000 --> 0:30:09.400
<v Speaker 4>quantum is actually how efficient it can be for the

0:30:09.440 --> 0:30:12.080
<v Speaker 4>types of problems that you're looking to solve which require large,

0:30:12.120 --> 0:30:14.960
<v Speaker 4>high performance supercomputers. We're doing it a fraction of the

0:30:15.000 --> 0:30:17.840
<v Speaker 4>power despite even the infrastructure that we're building around some

0:30:17.880 --> 0:30:20.000
<v Speaker 4>of our super connecting Cuban architectures.

0:30:20.560 --> 0:30:23.440
<v Speaker 2>Can you talk about the architecture of the ecosystem for.

0:30:23.480 --> 0:30:24.040
<v Speaker 3>Us as well?

0:30:24.320 --> 0:30:28.480
<v Speaker 2>Because Jensen Woan suddenly kind of corrected himself on what

0:30:28.520 --> 0:30:30.880
<v Speaker 2>he thinks is going to take until twenty twenty twenty

0:30:31.120 --> 0:30:33.800
<v Speaker 2>twenty years from now he thought would be when quantum

0:30:33.880 --> 0:30:36.080
<v Speaker 2>computers become really useful, and then he backtracked.

0:30:36.280 --> 0:30:37.400
<v Speaker 3>Ultimately, he's probably.

0:30:37.160 --> 0:30:39.080
<v Speaker 2>Backtracking because he sees this as a business line and

0:30:39.080 --> 0:30:42.240
<v Speaker 2>an opportunity for him. Where does IBM fit in terms

0:30:42.280 --> 0:30:45.400
<v Speaker 2>of who it sells to and who it works alongside.

0:30:45.560 --> 0:30:50.360
<v Speaker 4>So our strategies really provide the differentiating computing platform in

0:30:50.400 --> 0:30:52.280
<v Speaker 4>terms of the hardware and the software at the bottom,

0:30:52.440 --> 0:30:54.920
<v Speaker 4>and then building this ecosystem all around it. A big

0:30:54.920 --> 0:30:57.120
<v Speaker 4>part of our strategy has been having an open source

0:30:57.320 --> 0:31:01.240
<v Speaker 4>software development Kisskit, which really appeals to a broader set

0:31:01.280 --> 0:31:05.160
<v Speaker 4>of users so that different startups users can all be

0:31:05.200 --> 0:31:08.880
<v Speaker 4>plugged into using this in addition to their other computing resources.

0:31:08.960 --> 0:31:10.040
<v Speaker 3>So taught me through.

0:31:09.840 --> 0:31:12.320
<v Speaker 2>The supply chain here, because at the moment you are

0:31:12.360 --> 0:31:15.880
<v Speaker 2>going to create the actual hardware. You're doing it in

0:31:16.120 --> 0:31:18.760
<v Speaker 2>Upstate New York, You're doing it probably across the United States,

0:31:18.800 --> 0:31:21.280
<v Speaker 2>and you've been focused on at home manufacturing in many

0:31:21.320 --> 0:31:23.000
<v Speaker 2>ways for that. But you're also going to be making

0:31:23.000 --> 0:31:24.560
<v Speaker 2>this software. You want to be a one stop shop.

0:31:24.560 --> 0:31:25.760
<v Speaker 2>But who do you have to rely on?

0:31:25.840 --> 0:31:28.600
<v Speaker 13>Well, actually, the software pieces that open source.

0:31:28.640 --> 0:31:31.000
<v Speaker 4>We have a lot of integration partners, third party of

0:31:31.040 --> 0:31:34.640
<v Speaker 4>startups are actually building functions within our ecosystem so that

0:31:34.720 --> 0:31:38.560
<v Speaker 4>they can drive verticals in optimization or in chemistry or

0:31:38.560 --> 0:31:41.440
<v Speaker 4>in machine learning that plug right in and leverage other

0:31:41.520 --> 0:31:44.320
<v Speaker 4>forms of compute in parallel with our machines.

0:31:44.440 --> 0:31:46.640
<v Speaker 2>I mean, ask a bit of a loaded question, Jerry,

0:31:47.160 --> 0:31:50.680
<v Speaker 2>But we keep on comparing US versus China when it

0:31:50.680 --> 0:31:51.240
<v Speaker 2>comes to AI.

0:31:51.640 --> 0:31:52.680
<v Speaker 3>What are you.

0:31:52.680 --> 0:31:56.040
<v Speaker 2>Actually seeing international adoption and quantum? Does everyone work harmoniously

0:31:56.080 --> 0:31:57.920
<v Speaker 2>together when it comes to quantum at the moment, because

0:31:57.920 --> 0:31:59.680
<v Speaker 2>it's still very much that early stage or you.

0:31:59.720 --> 0:32:03.280
<v Speaker 4>Race, We certainly see a lot of adoption throughout the world,

0:32:03.480 --> 0:32:05.720
<v Speaker 4>but certainly it is a race right, there is definitely

0:32:05.760 --> 0:32:08.600
<v Speaker 4>a technological race between the US and China. There's been

0:32:08.600 --> 0:32:11.240
<v Speaker 4>a lot of government funding in the US space in

0:32:11.280 --> 0:32:13.800
<v Speaker 4>this area, but I think we are also looking to really

0:32:13.800 --> 0:32:16.240
<v Speaker 4>make some bold moves here and really sort of cement

0:32:16.640 --> 0:32:20.520
<v Speaker 4>technologies a roadmap towards a quantum centric supercomputer that has

0:32:20.560 --> 0:32:21.080
<v Speaker 4>bold vision.

0:32:21.440 --> 0:32:23.520
<v Speaker 2>Well, thanks for talking us through that bold vision today,

0:32:23.640 --> 0:32:27.240
<v Speaker 2>Jerry Choo of IBM. Fascinating to dig in on quantum. Meanwhile,

0:32:27.240 --> 0:32:30.360
<v Speaker 2>coming up, check out these last mile delivery robots.

0:32:30.360 --> 0:32:31.520
<v Speaker 3>A company behind them.

0:32:31.640 --> 0:32:34.880
<v Speaker 2>It is closed a new funding round backing from Open Aiyes,

0:32:35.000 --> 0:32:37.640
<v Speaker 2>Sam Altman and his brother will have the details next.

0:32:37.640 --> 0:32:49.880
<v Speaker 3>This is a bluebg tech. They're coming behind last mild.

0:32:49.640 --> 0:32:52.720
<v Speaker 2>Delivery robots Coco Robotics. Well, it has just raised eighty

0:32:52.760 --> 0:32:55.680
<v Speaker 2>million dollars in its latest funding round. Startups backers include

0:32:55.680 --> 0:32:59.560
<v Speaker 2>open Aiyes, Sam Altman, and SNR Zach Rash Coco Robotics

0:32:59.600 --> 0:33:01.040
<v Speaker 2>c young founder joins us.

0:33:01.080 --> 0:33:03.040
<v Speaker 3>Now the money, what was it for, Zach?

0:33:04.520 --> 0:33:07.080
<v Speaker 14>Well, we really want to expand the service to more areas,

0:33:07.240 --> 0:33:11.160
<v Speaker 14>So we're building the best automas vehicle for our urban environment.

0:33:11.320 --> 0:33:17.200
<v Speaker 14>So we're operating in Los Angeles, Chicago, Miami, Helsinki, Finland.

0:33:17.520 --> 0:33:19.280
<v Speaker 15>We have a lot more cities coming up soon.

0:33:19.640 --> 0:33:22.000
<v Speaker 14>But you know, we want to build the best vehicle

0:33:22.080 --> 0:33:24.520
<v Speaker 14>to move goods around cities, to make it much cheaper

0:33:24.520 --> 0:33:25.800
<v Speaker 14>for our customers and commercials.

0:33:26.200 --> 0:33:28.320
<v Speaker 3>Okay, so is it all about US markets? Is there

0:33:28.360 --> 0:33:30.120
<v Speaker 3>an international focus as well here?

0:33:31.120 --> 0:33:31.320
<v Speaker 15>Yeah?

0:33:31.360 --> 0:33:33.440
<v Speaker 14>So in the US we've been partnering with sorda Ash

0:33:33.480 --> 0:33:35.680
<v Speaker 14>and uber Eats, and then we recently partnered with waltz

0:33:35.720 --> 0:33:39.040
<v Speaker 14>over in Helsinki. So we're live in Helsinki, Finland and

0:33:39.040 --> 0:33:40.960
<v Speaker 14>we have a lot more European markets coming up soon.

0:33:41.440 --> 0:33:44.080
<v Speaker 2>And what are some of the bottlenecks that you've seen

0:33:44.080 --> 0:33:46.120
<v Speaker 2>thus far rolling these things out? I've seen them at

0:33:46.160 --> 0:33:49.160
<v Speaker 2>plenty of conferences. I'm yet to get the deliveries here

0:33:49.200 --> 0:33:49.760
<v Speaker 2>in New York.

0:33:49.840 --> 0:33:51.920
<v Speaker 3>So what are is it? Government relations?

0:33:52.080 --> 0:33:54.200
<v Speaker 2>Is it ultimately just making sure that they can they're

0:33:54.200 --> 0:33:56.480
<v Speaker 2>fit for purpose in some of these more urban spaces.

0:33:57.720 --> 0:33:57.920
<v Speaker 15>Yeah.

0:33:57.960 --> 0:34:00.040
<v Speaker 14>So at first we had to get the technology to

0:34:00.080 --> 0:34:02.440
<v Speaker 14>work well enough where we can deliver goods to people

0:34:02.760 --> 0:34:04.960
<v Speaker 14>at high quality. We're moving a lot of food and

0:34:05.000 --> 0:34:08.040
<v Speaker 14>groceries today, right, so you're very time sensitive. It needs

0:34:08.040 --> 0:34:10.240
<v Speaker 14>to get there on time or people won't use the robots,

0:34:10.680 --> 0:34:11.560
<v Speaker 14>and the second thing we.

0:34:11.480 --> 0:34:13.760
<v Speaker 15>Need to do is get the cost to be lower.

0:34:14.000 --> 0:34:16.600
<v Speaker 14>Than the cost of a human driver or doesn't make

0:34:16.600 --> 0:34:19.360
<v Speaker 14>any sense, right, So we got the technology to that place.

0:34:19.640 --> 0:34:22.480
<v Speaker 14>We did that first in Los Angeles. Now we're scaling

0:34:22.560 --> 0:34:24.320
<v Speaker 14>up as fast as we can to get this service

0:34:24.360 --> 0:34:27.000
<v Speaker 14>to more and more people. The government relations side of

0:34:27.000 --> 0:34:29.719
<v Speaker 14>this has actually been going really well. We have a

0:34:29.719 --> 0:34:32.040
<v Speaker 14>really good relationship with the cities. We work with half

0:34:32.120 --> 0:34:34.680
<v Speaker 14>the states in the country of past legislation to allow

0:34:34.760 --> 0:34:37.839
<v Speaker 14>this sort of vehicle to operate, and I think we're

0:34:37.840 --> 0:34:39.080
<v Speaker 14>seeing a big trend in Europe to.

0:34:39.080 --> 0:34:40.080
<v Speaker 15>Adopt this as well.

0:34:41.280 --> 0:34:44.480
<v Speaker 14>There's typically not enough drivers to do the deliveries that

0:34:44.560 --> 0:34:48.520
<v Speaker 14>exist today, and it's incredibly expensive. So we're able to

0:34:48.800 --> 0:34:51.200
<v Speaker 14>make it more available to people, make it much more affordable,

0:34:51.200 --> 0:34:53.880
<v Speaker 14>and that usually aligns with the goals of our cities

0:34:53.960 --> 0:34:54.319
<v Speaker 14>and just.

0:34:54.280 --> 0:34:56.319
<v Speaker 2>Walk us through the process that those who haven't been

0:34:56.360 --> 0:34:59.920
<v Speaker 2>lucky enough to have their ice cream delivered via Coco Robotic,

0:35:00.520 --> 0:35:02.319
<v Speaker 2>what is it? How do they get contacted when they're

0:35:02.400 --> 0:35:03.239
<v Speaker 2>upping their high rise?

0:35:04.800 --> 0:35:07.680
<v Speaker 14>Yeah, so if you order on uberate's your DoorDash, you'll

0:35:07.719 --> 0:35:09.400
<v Speaker 14>have the you know, the option to opt in to

0:35:09.480 --> 0:35:12.239
<v Speaker 14>an atomous vehicle. If you opt in, it's usually a

0:35:12.239 --> 0:35:15.000
<v Speaker 14>lower lower cost to you. There's no tipping involved, so

0:35:15.040 --> 0:35:17.759
<v Speaker 14>most people do opt in. If you're in a high rise,

0:35:17.800 --> 0:35:19.640
<v Speaker 14>you can choose. I don't want a robot. I want

0:35:19.680 --> 0:35:21.279
<v Speaker 14>someone to come and bring it up to my door.

0:35:21.320 --> 0:35:24.120
<v Speaker 14>But I think we're seeing that happen less and less,

0:35:25.200 --> 0:35:28.080
<v Speaker 14>and it's a I think the human delivery experience can

0:35:28.120 --> 0:35:30.840
<v Speaker 14>also be a bit inconsistent. Maybe they'll bring it up

0:35:30.840 --> 0:35:32.399
<v Speaker 14>to your door, maybe they'll leave it the lobby, maybe

0:35:32.440 --> 0:35:34.719
<v Speaker 14>they'll leave it on the curb side. So one of

0:35:34.719 --> 0:35:37.560
<v Speaker 14>the benefits of using our Times vehicles is they will

0:35:37.600 --> 0:35:40.200
<v Speaker 14>be parked in front of your store. They'll be waiting

0:35:40.239 --> 0:35:42.080
<v Speaker 14>patiently or and sorry, in front of your building. They'll

0:35:42.120 --> 0:35:43.880
<v Speaker 14>be waiting patiently for you to come down and retrieve

0:35:43.880 --> 0:35:47.320
<v Speaker 14>you order. It's locked, it's insulated, the food is packaged

0:35:47.360 --> 0:35:50.080
<v Speaker 14>and preserved in the best possible way for you, and

0:35:50.840 --> 0:35:51.919
<v Speaker 14>you will wait for you to be ready.

0:35:51.920 --> 0:35:53.560
<v Speaker 15>So once you're ready, you come down, you click a.

0:35:53.480 --> 0:35:55.440
<v Speaker 14>Button in the app, a little open and you get

0:35:55.440 --> 0:35:56.239
<v Speaker 14>your goods.

0:35:56.840 --> 0:35:59.880
<v Speaker 2>What's interesting is, sadly we've heard over the course of

0:36:00.520 --> 0:36:05.000
<v Speaker 2>some moments of protest people taking out their anger on

0:36:05.239 --> 0:36:07.880
<v Speaker 2>driverless cars, for example, over in LA. Have you seen

0:36:07.960 --> 0:36:10.400
<v Speaker 2>any implication on your own robotics? How do people treat

0:36:10.400 --> 0:36:11.320
<v Speaker 2>them out there in the world.

0:36:12.920 --> 0:36:16.239
<v Speaker 15>Yeah, it's well, it's interesting. We were we were I

0:36:16.280 --> 0:36:17.399
<v Speaker 15>just saw this video that was.

0:36:17.360 --> 0:36:21.200
<v Speaker 14>Going around TikTok where the robot was driving through a protest.

0:36:21.239 --> 0:36:23.359
<v Speaker 14>We know, we worked at the city to geofence off

0:36:23.400 --> 0:36:26.000
<v Speaker 14>some areas where we shouldn't operate because there's active's protest,

0:36:26.040 --> 0:36:27.879
<v Speaker 14>but you know, they're popping up and moving all around

0:36:27.920 --> 0:36:30.880
<v Speaker 14>the city, so it's hard to be super precise. But

0:36:30.960 --> 0:36:33.719
<v Speaker 14>what ended up happening is everyone made a like a

0:36:33.719 --> 0:36:37.360
<v Speaker 14>tunnel a path and started chanting Coco and let the

0:36:37.440 --> 0:36:41.160
<v Speaker 14>robot through, which I thought was was was quite nice

0:36:41.200 --> 0:36:44.160
<v Speaker 14>and somewhat unexpected. But I think people have a lot

0:36:44.200 --> 0:36:46.240
<v Speaker 14>of affinity towards these I mean, we called it Coco

0:36:46.320 --> 0:36:48.200
<v Speaker 14>on purpose. It's it's you know, we looked up a

0:36:48.200 --> 0:36:49.960
<v Speaker 14>list of cute dog names. It was number one on

0:36:50.000 --> 0:36:53.719
<v Speaker 14>the list. So I think on one end, I think

0:36:53.719 --> 0:36:55.800
<v Speaker 14>people have some affinity towards them, and on the other hand,

0:36:56.600 --> 0:37:00.160
<v Speaker 14>people realize it's delivering their local businesses and their neighbors,

0:37:00.719 --> 0:37:03.759
<v Speaker 14>you know, dinner for their family. So I do think

0:37:03.800 --> 0:37:06.839
<v Speaker 14>people are actually quite respectful of the vehicle and making

0:37:06.880 --> 0:37:09.120
<v Speaker 14>sure that they're not disrupting, you know, their neighbors are

0:37:09.160 --> 0:37:11.440
<v Speaker 14>really the community product, Zach.

0:37:11.480 --> 0:37:14.520
<v Speaker 2>At the moment, the competition, I'm sure is a gig

0:37:14.560 --> 0:37:17.640
<v Speaker 2>worker and a car and a delivery, But how many

0:37:17.719 --> 0:37:20.319
<v Speaker 2>robotics competitors are starting to pop up?

0:37:20.400 --> 0:37:23.200
<v Speaker 3>And is that a good thing for the ecosystem?

0:37:23.920 --> 0:37:26.440
<v Speaker 14>Yeah, I think the timing is really the timing is

0:37:26.440 --> 0:37:28.080
<v Speaker 14>really interesting right now. Right we've been doing this for

0:37:28.160 --> 0:37:31.880
<v Speaker 14>about five years, A few things have happened in the world.

0:37:32.080 --> 0:37:35.480
<v Speaker 14>You have AI clearly has become extremely capable.

0:37:37.120 --> 0:37:38.200
<v Speaker 15>You first had chats to b T.

0:37:38.440 --> 0:37:40.440
<v Speaker 14>Now you have kind of AI everywhere and all of

0:37:40.440 --> 0:37:43.360
<v Speaker 14>your products, all big techs talking about it. You have

0:37:43.480 --> 0:37:45.560
<v Speaker 14>waymos you see on the road all the time now.

0:37:45.600 --> 0:37:47.840
<v Speaker 14>So I think a time as vehicles and AI and

0:37:47.920 --> 0:37:50.000
<v Speaker 14>how that goes into the physical world has become very

0:37:50.040 --> 0:37:54.000
<v Speaker 14>real for businesses, for investors, for you know, analysts covering

0:37:54.080 --> 0:37:57.799
<v Speaker 14>some of these stocks, and for consumers. So consumers are

0:37:57.800 --> 0:38:01.720
<v Speaker 14>starting to demand these services be integrated more and more.

0:38:01.920 --> 0:38:05.040
<v Speaker 14>At the same time, the cost of delivery has continued

0:38:05.080 --> 0:38:08.120
<v Speaker 14>to go up and up and up, so you have

0:38:08.200 --> 0:38:12.000
<v Speaker 14>kind of this macro where these brands and businesses are

0:38:12.960 --> 0:38:15.680
<v Speaker 14>concerned about you know, consumer spending and you know how

0:38:15.719 --> 0:38:18.240
<v Speaker 14>much how much more cost they can tolerate on delivery.

0:38:18.600 --> 0:38:20.600
<v Speaker 14>And then you have this other thing of AI that's

0:38:20.640 --> 0:38:23.520
<v Speaker 14>seeming to clearly work and do useful things. So I

0:38:23.520 --> 0:38:25.400
<v Speaker 14>think that's caused this to be the right time. And

0:38:25.760 --> 0:38:28.280
<v Speaker 14>we have, you know, seemingly unlimited demand for the product,

0:38:28.320 --> 0:38:30.319
<v Speaker 14>and we're just trying to ramp up production as fast

0:38:30.320 --> 0:38:30.880
<v Speaker 14>as possible.

0:38:30.920 --> 0:38:34.719
<v Speaker 2>And get this very briefly, Zach, you must have unlimited

0:38:34.760 --> 0:38:39.080
<v Speaker 2>demand for data to feed into the underlying lognacle's model

0:38:39.120 --> 0:38:40.440
<v Speaker 2>or whatever you're using to power this.

0:38:40.600 --> 0:38:41.960
<v Speaker 3>Where are you getting it from?

0:38:42.920 --> 0:38:45.560
<v Speaker 15>So we've done millions of miles of deliveries.

0:38:45.560 --> 0:38:48.080
<v Speaker 14>We've done over half a million deliveries, and those are

0:38:48.239 --> 0:38:50.960
<v Speaker 14>deliveries happening in the most chaotic parts of the world.

0:38:51.000 --> 0:38:51.160
<v Speaker 12>Right.

0:38:51.200 --> 0:38:54.279
<v Speaker 14>So this is Chicago, this is downtown LA and Hollywood,

0:38:54.320 --> 0:38:56.799
<v Speaker 14>this is Helsinki covered and covered in snow.

0:38:56.840 --> 0:38:59.920
<v Speaker 15>It's Miami with you know, hurricane winds going and rain.

0:39:01.480 --> 0:39:04.120
<v Speaker 14>And not only do we have you know, video data

0:39:04.160 --> 0:39:07.640
<v Speaker 14>of the robots navigating these situations, you know, we have

0:39:07.719 --> 0:39:10.799
<v Speaker 14>our remote operators who can come in during a delivery

0:39:11.040 --> 0:39:13.279
<v Speaker 14>take over for the autonomy, take over for the AI

0:39:13.600 --> 0:39:15.839
<v Speaker 14>and actually correct it and explain for it what to do.

0:39:16.040 --> 0:39:18.800
<v Speaker 14>So that's a very rich data set to train the system,

0:39:18.880 --> 0:39:21.200
<v Speaker 14>and it has to work really well because again, we're

0:39:21.200 --> 0:39:24.759
<v Speaker 14>moving food. So if you have autonomy that works kind

0:39:24.760 --> 0:39:26.600
<v Speaker 14>of well, but it delays the trip by twenty minutes,

0:39:26.640 --> 0:39:27.320
<v Speaker 14>it's not useful.

0:39:27.840 --> 0:39:29.279
<v Speaker 3>Zach, It's been great having you.

0:39:29.400 --> 0:39:37.920
<v Speaker 2>Zach Rash, co founder and CEO of Coco Robotics. Bloomberg's

0:39:37.920 --> 0:39:40.680
<v Speaker 2>Emily Chang sat down with Melinda French Gates in Seattle

0:39:40.920 --> 0:39:44.279
<v Speaker 2>to discuss her next chapter as a philanthropic powerhouse now.

0:39:44.280 --> 0:39:46.560
<v Speaker 2>They discussed her early career at Microsoft, but also her

0:39:46.560 --> 0:39:50.200
<v Speaker 2>outlook on the Trump administration and big text influence in Washington.

0:39:51.160 --> 0:39:54.120
<v Speaker 16>How is President Trump and these actions? How is this

0:39:54.160 --> 0:39:55.760
<v Speaker 16>impacting the philanthropic world?

0:39:56.040 --> 0:40:01.440
<v Speaker 17>The cuts in USA ideal alone, sixteen point nine million

0:40:01.600 --> 0:40:06.080
<v Speaker 17>women will not get maternal health services. People are going

0:40:06.160 --> 0:40:09.440
<v Speaker 17>hungry because of those cuts. As Americans? Is that what

0:40:09.560 --> 0:40:12.800
<v Speaker 17>we want? Do we want to create more crises around

0:40:12.840 --> 0:40:15.600
<v Speaker 17>the world, or do we want peace and prosperity for

0:40:15.719 --> 0:40:18.680
<v Speaker 17>others so they can live where they are? Philanthropy can

0:40:19.239 --> 0:40:22.040
<v Speaker 17>take a risk that we wouldn't want government to take

0:40:22.080 --> 0:40:25.640
<v Speaker 17>with our taxpayer funding, but it can prove things out

0:40:25.840 --> 0:40:29.360
<v Speaker 17>at scale, and then governments can come in to scale

0:40:29.400 --> 0:40:29.719
<v Speaker 17>that up.

0:40:29.920 --> 0:40:34.080
<v Speaker 16>Alon Musk and Doge, how do you feel about one man,

0:40:34.360 --> 0:40:38.240
<v Speaker 16>a billionaire, having that much independent power within the federal government.

0:40:38.880 --> 0:40:43.680
<v Speaker 17>Well, it's unprecedented to have anyone come in and say,

0:40:43.760 --> 0:40:46.640
<v Speaker 17>you know, we're just going to wipe it out like that.

0:40:46.640 --> 0:40:48.200
<v Speaker 3>That makes no sense to me.

0:40:48.560 --> 0:40:50.759
<v Speaker 16>What do you make of the tech billionaires lining up

0:40:50.760 --> 0:40:53.840
<v Speaker 16>behind President Trump and Silicon Valley's right turn.

0:40:54.840 --> 0:40:58.360
<v Speaker 17>What I've seen in the last sixty months to a

0:40:58.440 --> 0:41:01.279
<v Speaker 17>year is many people who use to say one thing

0:41:01.760 --> 0:41:05.479
<v Speaker 17>have absolutely shifted over here. Look, a democracy is made

0:41:05.520 --> 0:41:10.440
<v Speaker 17>up by our beliefs, and our investments and our values,

0:41:10.920 --> 0:41:13.520
<v Speaker 17>and we of all times right now should be living

0:41:13.560 --> 0:41:17.040
<v Speaker 17>those values out, not pivoting to what some calms person

0:41:17.120 --> 0:41:17.759
<v Speaker 17>tells us is.

0:41:17.760 --> 0:41:18.799
<v Speaker 15>The right thing to do.

0:41:19.160 --> 0:41:20.440
<v Speaker 13>Right That would be ridiculous.

0:41:20.440 --> 0:41:23.759
<v Speaker 2>Emine Chang's full conversation with Melinda French Gates. It's on

0:41:23.800 --> 0:41:26.680
<v Speaker 2>the circuit on bloombgg dot com and on Bloomberg Originals.

0:41:27.080 --> 0:41:30.239
<v Speaker 2>Now it's time for talking tech, and first up, were Australia,

0:41:30.280 --> 0:41:32.840
<v Speaker 2>it's moving closer to a ban on social media for

0:41:32.960 --> 0:41:36.120
<v Speaker 2>users under the age of sixteen. Key trial found that

0:41:36.200 --> 0:41:39.160
<v Speaker 2>checking a user's age is technologically possible and can be

0:41:39.160 --> 0:41:41.080
<v Speaker 2>integrated into existing services now.

0:41:41.080 --> 0:41:42.680
<v Speaker 3>The government backed findings.

0:41:42.320 --> 0:41:44.719
<v Speaker 2>Helped to clear the way for new laws that would

0:41:44.719 --> 0:41:48.520
<v Speaker 2>find digital platforms responsible for enforcing the age limit plus

0:41:48.640 --> 0:41:52.560
<v Speaker 2>TENUS US sales they decline and it deepens, with weekly

0:41:52.600 --> 0:41:54.360
<v Speaker 2>sales dropping more than twenty five percent.

0:41:54.120 --> 0:41:56.160
<v Speaker 3>Compared to a year ago. Am mid President Trump's.

0:41:55.880 --> 0:41:58.880
<v Speaker 2>Taris now the sales route comes alongside the company's cuts

0:41:58.920 --> 0:42:02.520
<v Speaker 2>in advertising spends. The commercial output now only in the

0:42:02.640 --> 0:42:06.120
<v Speaker 2>dozens and Emil musks thirty three billion dollars buyout of

0:42:06.480 --> 0:42:10.080
<v Speaker 2>x by Xai, but it's facing new scrutiny from EU regulators.

0:42:10.160 --> 0:42:13.080
<v Speaker 2>According to sources, the European Commission says that the deal

0:42:13.400 --> 0:42:16.920
<v Speaker 2>could influence the scale of potential fines that's under the

0:42:16.920 --> 0:42:20.360
<v Speaker 2>Digital Services Act. The Commission is also considering whether sales

0:42:20.400 --> 0:42:24.280
<v Speaker 2>from Musks other private businesses should be included to determine

0:42:24.320 --> 0:42:28.239
<v Speaker 2>potential fines against x Now that does it For this

0:42:28.400 --> 0:42:30.880
<v Speaker 2>edition of Bloomberg Tech, do not forget to check out

0:42:30.920 --> 0:42:33.400
<v Speaker 2>the podcast Tune in this weekend. You can find it

0:42:33.440 --> 0:42:35.840
<v Speaker 2>on the terminal as well as online on Apple, Spotify,

0:42:36.160 --> 0:42:36.680
<v Speaker 2>an iHeart.

0:42:37.360 --> 0:42:38.399
<v Speaker 3>This is Bloomberg Tech