WEBVTT - Nvidia Roars Back and Adobe Unveils AI Video Generator Tools

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<v Speaker 1>From Mahart where Innovation, Money and power colle in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>Live from New York and San Francisco. This is Bloomberg

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<v Speaker 2>Technology coming up. In Vidia on track for a record

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<v Speaker 2>close shares or bounced back after successfully calming concerns about

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<v Speaker 2>the product delays and its long term growth plans.

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<v Speaker 3>Adobe's Embrace of AI will talk to the company's CEO

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<v Speaker 3>about its new AI video generated tools as it kicks

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<v Speaker 3>off the annual Adobe Max conference.

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<v Speaker 2>And a successful catch. SpaceX celebrates a major milestone over

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<v Speaker 2>the weekend that Starship Rockets successfully catching its booster midair.

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<v Speaker 2>We discussed but first let's check in on these markets

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<v Speaker 2>because we are ramping high. Then now's that one hundred

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<v Speaker 2>is a seat up five tenths of a percent, and

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<v Speaker 2>we were higher up about a percentage point in earlier trade.

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<v Speaker 2>But we see Mood Music once again wanting to plow

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<v Speaker 2>money into some of the major Magnificent seven names, and

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<v Speaker 2>across the board, we're really seeing a risk on feel

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<v Speaker 2>is it whether China stimulus is going to come into play.

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<v Speaker 2>That's what's being eyed by Bitcoin just a quick look

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<v Speaker 2>at what's happening in the world or crypto at the moment,

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<v Speaker 2>we're up now five percent percent now NASDAC and Bitcoin

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<v Speaker 2>at the highest level since July.

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<v Speaker 4>And what are you.

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<v Speaker 3>Watching, Well, I'm going to go straight to Nvidia and

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<v Speaker 3>if you're just waking up, you're just joining us for

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<v Speaker 3>the first time on Bloomberg Television this morning. It is

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<v Speaker 3>a name we're going to watch all day because, as

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<v Speaker 3>you said, Cara, on a closing basis, if we trade

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<v Speaker 3>at that level one hundred and thirty eight, just below

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<v Speaker 3>one hundred and thirty nine dollars a share, and we

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<v Speaker 3>close there, we will clipse that June record or record

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<v Speaker 3>high that we close that in June. Actually, we're probably

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<v Speaker 3>about a dollar away on an intra day basis from

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<v Speaker 3>a record as well, which I know the team in

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<v Speaker 3>Bloomberg Equities are going to be watching very closely. Is

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<v Speaker 3>kind of like in Video's back, and that's going to

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<v Speaker 3>be our folk as much as it has been for

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<v Speaker 3>the last two years, which I'm very excited about.

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<v Speaker 5>As au It's back. Why is it back?

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<v Speaker 2>Why is it up eleven percent over the course of

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<v Speaker 2>the month. Bruly, Meg's around Blastelica is with us, just

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<v Speaker 2>talk us through the determed risk and feel around in video.

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<v Speaker 2>What have they managed to tell the market?

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<v Speaker 4>Hey, good morning, thanks for having me so.

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<v Speaker 6>I'd say that there was recent weakness in and Video

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<v Speaker 6>shares that was largely concerned about the company's Blackwold chips.

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<v Speaker 6>There were some engineering snags, a little bit of the

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<v Speaker 6>delay there. People didn't quite know how to suss out

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<v Speaker 6>the impact that this would have on future growth. However,

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<v Speaker 6>the CEO came out, he talked about how strong demand

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<v Speaker 6>has been. There's been some positive analyst commentary looking at

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<v Speaker 6>the orders for the Blackwold chip, all this has been

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<v Speaker 6>very strong. I think that's helped to ease a lot

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<v Speaker 6>of concerns that people had about the status of this chip,

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<v Speaker 6>the future product roadmap, and just in general the company's

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<v Speaker 6>flowity to continue executing, keep delivering these chips, which are

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<v Speaker 6>at course at the forefront of the whole AI trade.

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<v Speaker 3>Do you know what's interesting about in video, Ryan, is

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<v Speaker 3>that it's kind of constant communication. Jensen Wong does a

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<v Speaker 3>lot of interviews, but he also appears on stage all

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<v Speaker 3>of the time. He is at investor conferences all of

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<v Speaker 3>the time. You cover such a broad range of technology companies.

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<v Speaker 3>Have you ever known a company in vogue or not

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<v Speaker 3>to communicate that much?

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<v Speaker 4>That's a great question.

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<v Speaker 6>Certainly, he is out there a lot, and he is

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<v Speaker 6>obviously an investor favorite, so every time he speaks, everybody listens.

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<v Speaker 6>And of course everything he has been saying lately has

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<v Speaker 6>been pretty positive. It's hard to find too many, you know,

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<v Speaker 6>presidents for this kind of thing. You'd probably have to

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<v Speaker 6>go back to someone like Steve Jobs.

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<v Speaker 2>I guess maybe we'll have to go back to of course,

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<v Speaker 2>companies that are that much in the spotlight, Apple.

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<v Speaker 4>One of them.

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<v Speaker 2>And with Steve Jobs and now in Video, what is

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<v Speaker 2>there still perhaps remaining in terms of concerns. It looks

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<v Speaker 2>as though people feel they've got a runway for the

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<v Speaker 2>next twelve months in terms of orders.

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<v Speaker 6>Yeah, absolutely, I would say that, you know, they're considered

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<v Speaker 6>pretty far ahead of the curve as far as competition goes.

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<v Speaker 6>There's not too many concerns about that. There's a lot

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<v Speaker 6>of optimism about the new chip, and we've I've seen

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<v Speaker 6>a lot of Video's major customers like Microsoft, Meta Alphabet

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<v Speaker 6>and so board. They're all sticking with their capbex plan

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<v Speaker 6>So there's not really a concern that people are going

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<v Speaker 6>to pull back on their spending and that they're going

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<v Speaker 6>to see a drop up in the maand related to that.

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<v Speaker 6>So I would say that outside of maybe valuation, that's

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<v Speaker 6>probably the biggest concern you'll hear. But people are pretty

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<v Speaker 6>positive aboutting video's fundamentals from here yep.

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<v Speaker 3>As a reminder on an inter day basis, but a

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<v Speaker 3>lot more likely on a closing basis. In VideA a

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<v Speaker 3>fresh record Blimbo's Ryan Vasteliga, thank you very much. Another

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<v Speaker 3>top story, TSMC is expanding its global footprint and planning

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<v Speaker 3>more plants in Europe with a focus on the market

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<v Speaker 3>for AI chips. That's according to Taiwan's National Science and

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<v Speaker 3>Technology Council Minister wucheng Wen, who did not specify a

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<v Speaker 3>timeline for the expansion in Europe. This is TSMC just

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<v Speaker 3>broke round in August on a chip fabrication plant in

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<v Speaker 3>Germany's Dresden.

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<v Speaker 4>Listen to this.

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<v Speaker 7>They had started the construction of the first fab. Interesting.

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<v Speaker 7>They are already planning the next feel app in the

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<v Speaker 7>future for different market sectors as well, but of course

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<v Speaker 7>the most important would be the AIM market.

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<v Speaker 2>That's going to invest to take Michael Green is portfolio

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<v Speaker 2>manager at Simplify Asset Management. Manages a suite of ETFs

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<v Speaker 2>about six billion dollars in assets onder management. You've got

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<v Speaker 2>a rich history in terms of thinking through the macro Michael,

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<v Speaker 2>what then, of the exuberance still around chip names, is

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<v Speaker 2>it right to have that reality?

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<v Speaker 8>Well, I think this is a natural challenge, right. This

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<v Speaker 8>is what's called a positive bubble. It effectively is driving

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<v Speaker 8>innovation and investment into a space that absolutely requires it,

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<v Speaker 8>but there's almost no real opportunity for the company's currently

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<v Speaker 8>involved to earn the returns that are actually built into

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<v Speaker 8>these expectations. We may see that not happen in this

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<v Speaker 8>month or in this quarter, but as we look forward,

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<v Speaker 8>there's going to inevitably be a period of disappointment. This is,

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<v Speaker 8>in a lot of ways very similar to the buildout

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<v Speaker 8>around the dot com cycle, in which the Internet ultimately

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<v Speaker 8>exceeded all of our expectations, radically changing how we shop

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<v Speaker 8>and live our lives. But at the same time we

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<v Speaker 8>saw extraordinary disappointment as many of the companies involved were

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<v Speaker 8>unable to realize their potential.

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<v Speaker 3>Michael, that piece of news about TSMC in Europe shows

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<v Speaker 3>there is data center and chip capacity activity here in

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<v Speaker 3>the States, and there's the same in Europe. Is there

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<v Speaker 3>pros and cons to kind of focusing your attentions as

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<v Speaker 3>an investor on just one.

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<v Speaker 8>I'm not really sure that I would emphasize one versus

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<v Speaker 8>the other, because again, this is all data that can

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<v Speaker 8>be transmitted. A lot of the investment in Europe is

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<v Speaker 8>going to be a byproduct of separate and different privacy

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<v Speaker 8>rules and will probably continue to see investment around that.

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<v Speaker 9>The United States stands head and.

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<v Speaker 8>Shoulders above the rest of the world in terms of

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<v Speaker 8>data center capacity. I forget the exact number, but I

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<v Speaker 8>want to say it's roughly ten x its next largest competitor.

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<v Speaker 8>And at the same time, we're seeing extraordinary gains in

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<v Speaker 8>the efficiency of these data centers, which is actually going

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<v Speaker 8>to of course, that the capacity ends up being much

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<v Speaker 8>greater than we thought. The same underlying phenomenon we saw

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<v Speaker 8>again with fiber optic build out in the late nineteen nineties,

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<v Speaker 8>where we expected to have to use tons of dark fiber,

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<v Speaker 8>we ultimately laid that in the ground, and we've used

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<v Speaker 8>only a small fraction of it as other forms of

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<v Speaker 8>technology improved alongside it. In this case, we're starting to

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<v Speaker 8>see those efficiency gains from rewriting algorithms to optimize them

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<v Speaker 8>for AI or data center applications.

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<v Speaker 9>So ultimately, I think in both places.

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<v Speaker 8>We're going to find that we have at least a

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<v Speaker 8>period of access capacity that emerges, and I think investors

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<v Speaker 8>in both locations should be considered of that.

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<v Speaker 9>Europe probably offers.

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<v Speaker 8>A better construction environment, as I said, because they have

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<v Speaker 8>different rules, they're going to need to make their own investments.

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<v Speaker 2>So everyone going all in on basically the infrastructure build out.

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<v Speaker 2>But where else in the stack, where else in the

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<v Speaker 2>value add of AI should you be boarding out to?

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<v Speaker 8>Well, I think we're starting to get to the point

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<v Speaker 8>that you want to start thinking about the implications of this. Right, So,

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<v Speaker 8>financial institutions could benefit tremendously from an improved and the

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<v Speaker 8>ability to run analysis or process components. We're starting to

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<v Speaker 8>see shopping algorithms. Certainly, we're seeing things like support bots

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<v Speaker 8>in terms of the traditional call center type work. The

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<v Speaker 8>efficiency gains there are immens. Again, I think one of

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<v Speaker 8>the real challenges that we're going to face is that disruption.

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<v Speaker 9>We're really uncertain of it.

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<v Speaker 8>Right, People remember the comparisons of Amazon to Barnes and Noble,

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<v Speaker 8>and now they no longer remember Barnes and Noble except

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<v Speaker 8>as a college textbook destination. My hunches is we're going

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<v Speaker 8>to see a lot of the same things. The world

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<v Speaker 8>is changing very rapidly. It's a period of uncertainty. You

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<v Speaker 8>have to price that into effectively the optionality of these

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<v Speaker 8>names once you start to realize that it may turn

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<v Speaker 8>out that they are the vast majority are unable to

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<v Speaker 8>deliver on the opportunity that was in front of them.

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<v Speaker 8>Against that, I think that we're seeing lots of interesting

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<v Speaker 8>opportunities that are being created in more mundane areas like

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<v Speaker 8>fixed income, where we're beginning to recognize that the level

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<v Speaker 8>of interest rates is unlikely to.

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<v Speaker 3>Be what Wen, I'm sorry to interrupt you, then, Michael,

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<v Speaker 3>I just want to say, when we consider the US

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<v Speaker 3>economy on Bloomberg Technology in particular, it's often through the

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<v Speaker 3>lens of infrastructure, and that's kind of end of the economy.

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<v Speaker 3>But interestingly, specifically when it comes to the labor market,

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<v Speaker 3>you've been thinking about the gig economy, and we're going

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<v Speaker 3>to go very deep on that later in the program.

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<v Speaker 3>So I just wondered if you'd outline your thesis for us.

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<v Speaker 8>Yeah, So one of the things that we're really dealing

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<v Speaker 8>with is again this sort of radical change. Two thousand

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<v Speaker 8>and nine with uber was the advent of the app

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<v Speaker 8>based gig economy that initially targeted professional drivers. In twenty twelve,

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<v Speaker 8>that shifted with the introduction of Lyft and uber x

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<v Speaker 8>to effectively allow anyone to use their car to make

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<v Speaker 8>additional money, either as a side job or as a

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<v Speaker 8>substitute for unemployment.

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<v Speaker 9>The interesting thing that's happened is we haven't.

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<v Speaker 8>Really had a normal cycle or period of unemployment, and

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<v Speaker 8>one of the things that we're finding is that the

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<v Speaker 8>gig economy is effectively better destination for people than filing

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<v Speaker 8>for unemployment claims.

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<v Speaker 9>That would imply that the economy is actually the labor

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<v Speaker 9>markets quite a bit weaker than we're.

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<v Speaker 8>Getting in the headline data, and we're seeing this in

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<v Speaker 8>sentiment surveys of consumers.

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<v Speaker 9>And households, but it's not showing up in the official data.

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<v Speaker 8>One of the examples I give is California, for example,

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<v Speaker 8>where if you file for unemployment, your maximum benefit is

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<v Speaker 8>four hundred and fifty dollars a week for a maximum

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<v Speaker 8>of twenty six weeks.

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<v Speaker 9>That puts you at half of.

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<v Speaker 8>The poverty level for a two person household. In contrast,

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<v Speaker 8>if you already have a car and you're going to

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<v Speaker 8>face that depreciation associated with it, driving for Uber allows

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<v Speaker 8>you to replace a much larger fraction of your income

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<v Speaker 8>by utilizing an asset that you are no longer using.

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<v Speaker 9>In commute to work, et cetera.

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<v Speaker 8>That I think is really a key story that we're

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<v Speaker 8>going to have to figure out the reason why it

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<v Speaker 8>becomes an issue, And I want to emphasize I think

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<v Speaker 8>it's better that people are finding alternatives in the private sector,

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<v Speaker 8>but those private sector alternatives have their.

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<v Speaker 9>Own feedback loop.

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<v Speaker 8>Whereas more people find themselves driving for Uber, simultaneously, the

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<v Speaker 8>demand for these ride sharing services and gig economy and

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<v Speaker 8>applications begins to decline and the competition for the revenues

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<v Speaker 8>associated with them increases. Again, we're starting to see the

0:11:14.400 --> 0:11:17.120
<v Speaker 8>signs of that that people who are driving for Uber

0:11:17.160 --> 0:11:20.720
<v Speaker 8>are suddenly discovering that their incomes are beginning to fall significantly.

0:11:21.200 --> 0:11:22.720
<v Speaker 9>So this is going to be a real challenge for

0:11:22.760 --> 0:11:23.160
<v Speaker 9>our time.

0:11:23.200 --> 0:11:25.920
<v Speaker 8>Do we actually understand the data as that's coming in,

0:11:26.440 --> 0:11:29.120
<v Speaker 8>particularly with central bankers choosing to try to be as

0:11:29.200 --> 0:11:32.680
<v Speaker 8>data dependent as they possibly can. That data could change

0:11:32.760 --> 0:11:36.000
<v Speaker 8>very rapidly if we have a misunderstanding of the system.

0:11:36.480 --> 0:11:40.400
<v Speaker 3>Michael Green, portfolio manager at Simplify Asset Management, thank you

0:11:40.920 --> 0:11:42.800
<v Speaker 3>very much. And in line with what Michael was saying

0:11:42.800 --> 0:11:45.360
<v Speaker 3>coming out, we're going to go in detail into a

0:11:45.400 --> 0:11:49.360
<v Speaker 3>Bloomberg investigation which looks into how Uber and Lyft use

0:11:49.400 --> 0:11:53.160
<v Speaker 3>the loophole to deny drivers in New York City millions

0:11:53.200 --> 0:11:57.640
<v Speaker 3>of dollars in pay also taking a real quick look

0:11:57.720 --> 0:12:02.360
<v Speaker 3>at shares. I think of NAP, which got a downgrade

0:12:02.600 --> 0:12:05.280
<v Speaker 3>in the market earlier this morning and has taken a

0:12:05.320 --> 0:12:08.000
<v Speaker 3>little bit of a hit, maybe actually not as severe

0:12:08.000 --> 0:12:11.240
<v Speaker 3>as it was in the market open, but down about

0:12:11.240 --> 0:12:14.439
<v Speaker 3>a percentage point one point one percent. We'll get a

0:12:14.480 --> 0:12:16.880
<v Speaker 3>little bit more on that later in the program. This

0:12:16.960 --> 0:12:31.960
<v Speaker 3>is Bloomberg Technology. This was the Bloomberg Big take over

0:12:31.960 --> 0:12:35.160
<v Speaker 3>the weekend. Uber and Lyft have found a money saving

0:12:35.240 --> 0:12:40.680
<v Speaker 3>loophole in New York City lockouts. By simply preventing drivers

0:12:40.679 --> 0:12:43.760
<v Speaker 3>from logging into the apps, the companies set themselves up

0:12:43.760 --> 0:12:46.880
<v Speaker 3>to save as much as hundreds of millions of dollars

0:12:47.200 --> 0:12:51.000
<v Speaker 3>in driver payouts. That's according to Bloomberg estimates. Listen to this.

0:12:53.000 --> 0:12:55.200
<v Speaker 10>The summer of twenty twenty four was a stressful time

0:12:55.280 --> 0:12:57.480
<v Speaker 10>to be an Uber or Lyft driver in New York City.

0:12:57.679 --> 0:13:00.000
<v Speaker 11>Kill even Ballmark because there's Lackold's currently.

0:13:00.440 --> 0:13:03.880
<v Speaker 10>In May, Uber began preventing drivers from working seemingly at

0:13:03.960 --> 0:13:07.280
<v Speaker 10>random for hours at a time. Lift soon followed Suit.

0:13:07.480 --> 0:13:10.320
<v Speaker 12>They opened their app and normally you would be able

0:13:10.360 --> 0:13:13.160
<v Speaker 12>to click the go button and go online. But when

0:13:13.160 --> 0:13:16.319
<v Speaker 12>you're locked out, when you press go, nothing happens.

0:13:16.360 --> 0:13:20.120
<v Speaker 13>An individual lockout could happen from anywhere from five minutes

0:13:20.800 --> 0:13:22.520
<v Speaker 13>up to eight hours.

0:13:23.000 --> 0:13:25.840
<v Speaker 12>We understood that this stemmed from a six year old

0:13:25.920 --> 0:13:26.400
<v Speaker 12>pay rout.

0:13:26.760 --> 0:13:29.560
<v Speaker 13>I started driving for Uber to be able to work

0:13:29.600 --> 0:13:33.040
<v Speaker 13>at my own schedule because I went through a lot

0:13:33.080 --> 0:13:36.400
<v Speaker 13>of trauma with a divorce. I was a mess emotionally.

0:13:37.040 --> 0:13:40.680
<v Speaker 13>So basically, a lockout is when you cannot go online

0:13:40.800 --> 0:13:43.920
<v Speaker 13>to work, so essentially your micro fire.

0:13:44.120 --> 0:13:45.880
<v Speaker 9>Every day I would get locked out of Uber. It

0:13:45.960 --> 0:13:47.080
<v Speaker 9>was very frustrating.

0:13:47.679 --> 0:13:51.000
<v Speaker 13>It was also affecting my self respect. What am I

0:13:51.240 --> 0:13:53.880
<v Speaker 13>just the I'm a robot? Like getting locked out like

0:13:53.920 --> 0:13:55.800
<v Speaker 13>I'm a person. I have to feed my family.

0:13:55.920 --> 0:13:59.520
<v Speaker 12>Lockouts happen every hour of the day, every day, and

0:13:59.679 --> 0:14:04.520
<v Speaker 12>that's despite Uber saying their particular schedule of open access

0:14:04.559 --> 0:14:07.560
<v Speaker 12>times where people shouldn't be locked out. We found that

0:14:07.679 --> 0:14:10.959
<v Speaker 12>there were more than four hundred instances of lockouts happening

0:14:11.080 --> 0:14:16.120
<v Speaker 12>insert zones. So there's definitely potential impact there on consumer pricing.

0:14:16.240 --> 0:14:19.280
<v Speaker 12>A lot of people. Through our interviews, we learned that

0:14:19.440 --> 0:14:22.120
<v Speaker 12>they are working way beyond their usual hours to try

0:14:22.160 --> 0:14:23.520
<v Speaker 12>to make what they've made before.

0:14:49.360 --> 0:14:52.760
<v Speaker 3>Check out The Big Take Daily podcasts anywhere you get

0:14:52.840 --> 0:14:55.120
<v Speaker 3>your podcasts. I think that is one you definitely want

0:14:55.120 --> 0:14:55.640
<v Speaker 3>to check out.

0:14:55.680 --> 0:14:58.640
<v Speaker 2>Carrac Yeah, more on the sharing economy because cities around

0:14:58.680 --> 0:15:01.640
<v Speaker 2>the world are debating how to regulate short term rentals,

0:15:01.800 --> 0:15:04.240
<v Speaker 2>for some going as far as banning services like Airbnb

0:15:04.360 --> 0:15:07.200
<v Speaker 2>or erbo, others are trying to find a compromise through

0:15:07.240 --> 0:15:08.400
<v Speaker 2>limits and regulations.

0:15:08.640 --> 0:15:10.040
<v Speaker 4>You just saw her in that package.

0:15:10.080 --> 0:15:13.400
<v Speaker 2>We now have Natalie Lung live on sets talk about

0:15:13.400 --> 0:15:15.960
<v Speaker 2>the different approaches with Airbnb and the like and solving

0:15:16.000 --> 0:15:19.680
<v Speaker 2>some of the concerns and if they work. Natalie, what

0:15:19.800 --> 0:15:22.560
<v Speaker 2>are we currently seeing a city like New York trying

0:15:22.560 --> 0:15:23.520
<v Speaker 2>to compromise on.

0:15:23.920 --> 0:15:26.720
<v Speaker 12>Right The New York City had introduced almost a de

0:15:26.800 --> 0:15:31.240
<v Speaker 12>facto ban on short to rentals last year, basically ruling

0:15:31.280 --> 0:15:35.240
<v Speaker 12>out the short to rentals of less than thirty days

0:15:35.720 --> 0:15:38.800
<v Speaker 12>and more than a year into the law, we've seen

0:15:38.880 --> 0:15:42.880
<v Speaker 12>that vacancies have not gone up, so like hosts have

0:15:43.000 --> 0:15:46.640
<v Speaker 12>not released those short to rentals as expected, turning into

0:15:47.000 --> 0:15:50.360
<v Speaker 12>long term rentals, and the rent decreases we've seen in

0:15:50.400 --> 0:15:53.160
<v Speaker 12>the over the past year were attributed to other factors.

0:15:53.440 --> 0:15:55.680
<v Speaker 12>So our Airbnb is arguing that the law is not

0:15:55.840 --> 0:15:58.000
<v Speaker 12>as effective as the city had hoped.

0:15:59.160 --> 0:16:01.880
<v Speaker 3>As we write in the Natalie, there are two sides

0:16:02.000 --> 0:16:05.240
<v Speaker 3>to this story, and in the middle there is compromise.

0:16:05.720 --> 0:16:09.480
<v Speaker 3>Where have the companies and also like the hosts themselves

0:16:09.520 --> 0:16:13.080
<v Speaker 3>because they want to make money and the regulators found compromise.

0:16:14.480 --> 0:16:17.440
<v Speaker 12>Airbnb has introduced something called a city portal back in

0:16:17.480 --> 0:16:21.760
<v Speaker 12>twenty twenty to basically encourage more transparency, sharing more ways

0:16:21.840 --> 0:16:25.160
<v Speaker 12>that cities can access the data own listing, so cities

0:16:25.200 --> 0:16:29.520
<v Speaker 12>can ensure better licensing registration as well as an easier

0:16:29.680 --> 0:16:33.240
<v Speaker 12>way to collect tax revenue. So by increasing the data

0:16:33.440 --> 0:16:37.280
<v Speaker 12>they share, cities can ensure better enforcement.

0:16:38.000 --> 0:16:40.600
<v Speaker 2>Yeah, they need more transparency ultimately about what people are

0:16:40.640 --> 0:16:42.960
<v Speaker 2>making as well right to be able to declare a

0:16:43.000 --> 0:16:46.320
<v Speaker 2>win win with tax revenue going to the government as

0:16:46.320 --> 0:16:47.560
<v Speaker 2>well as to the people are hosting.

0:16:48.320 --> 0:16:52.320
<v Speaker 12>Yeah, that's the argument basically, and Airbnb is saying a

0:16:52.320 --> 0:16:54.960
<v Speaker 12>de facto band, like a blanket band like New York

0:16:55.000 --> 0:16:57.560
<v Speaker 12>City is almost like a cautionary tail, and cities shouldn't

0:16:57.560 --> 0:16:58.200
<v Speaker 12>go that far.

0:17:00.120 --> 0:17:03.040
<v Speaker 3>The question simply is what happens next. You know, in

0:17:03.120 --> 0:17:07.520
<v Speaker 3>New York City is a really interesting example where there's

0:17:07.520 --> 0:17:09.520
<v Speaker 3>a debate about where the laws get changed.

0:17:09.600 --> 0:17:10.240
<v Speaker 5>Natalie.

0:17:11.920 --> 0:17:15.800
<v Speaker 12>Interestingly, about a year, like a month ago, exactly a

0:17:15.880 --> 0:17:18.960
<v Speaker 12>year of this rule coming into effect, Airbnb came out

0:17:19.000 --> 0:17:23.600
<v Speaker 12>with taking stock of the effectiveness of this rule and

0:17:23.640 --> 0:17:26.560
<v Speaker 12>saying they are kind of appealing to the city to

0:17:27.040 --> 0:17:30.960
<v Speaker 12>perhaps adjust some provisions in the laws so that some

0:17:31.160 --> 0:17:35.439
<v Speaker 12>hosts can come back to their platform.

0:17:35.560 --> 0:17:39.040
<v Speaker 3>Bloomberg's Nasty lung across two very important stories in the

0:17:39.080 --> 0:17:39.800
<v Speaker 3>gig economy.

0:17:39.840 --> 0:17:41.600
<v Speaker 5>We really appreciate it. Thank you very much.

0:17:50.280 --> 0:17:52.359
<v Speaker 10>We can see those chats.

0:18:05.240 --> 0:18:06.440
<v Speaker 9>You should want to hurt cover.

0:18:07.520 --> 0:18:11.160
<v Speaker 3>SpaceX caught the attention of the world over the weekend,

0:18:11.320 --> 0:18:14.600
<v Speaker 3>making a first historic catch mid air for one of

0:18:14.600 --> 0:18:17.040
<v Speaker 3>its boosters. For more and what this leap means for

0:18:17.080 --> 0:18:20.600
<v Speaker 3>space exploration, Bloomberg's Lauren Grush joins US and was on

0:18:20.720 --> 0:18:24.320
<v Speaker 3>shift over the weekend covers SpaceX for us. Actually, there

0:18:24.320 --> 0:18:26.560
<v Speaker 3>were two milestones, and we need to talk about the

0:18:26.640 --> 0:18:28.960
<v Speaker 3>kind of Starship component of it.

0:18:29.000 --> 0:18:30.600
<v Speaker 5>But let's start with the booster.

0:18:30.840 --> 0:18:34.440
<v Speaker 3>Why that was significant and the idea of rapid reusability.

0:18:34.600 --> 0:18:36.640
<v Speaker 5>Lauren, right, Yeah, this.

0:18:36.760 --> 0:18:39.600
<v Speaker 14>Was a big hurdle that SpaceX needed to clear in

0:18:39.640 --> 0:18:41.520
<v Speaker 14>the road of development for Starship.

0:18:41.800 --> 0:18:44.560
<v Speaker 9>As you mentioned, Starship's promise.

0:18:44.240 --> 0:18:46.879
<v Speaker 14>Is that it's going to be fully reusable, so both

0:18:47.000 --> 0:18:51.160
<v Speaker 14>portions of the vehicle need to survive after launch.

0:18:51.359 --> 0:18:53.880
<v Speaker 12>But with the booster, you know, when they.

0:18:53.840 --> 0:18:56.720
<v Speaker 14>First proposed this idea, I think a lot of people

0:18:56.760 --> 0:19:01.359
<v Speaker 14>were skeptical. Obviously SpaceX has perfected landing its rockets with

0:19:01.440 --> 0:19:04.800
<v Speaker 14>its Falcon nine, but when this was proposed, catching the

0:19:04.880 --> 0:19:07.720
<v Speaker 14>rocket in midair rather than landing it, I think a

0:19:07.720 --> 0:19:09.879
<v Speaker 14>lot of people were wondering how this would work. But

0:19:10.359 --> 0:19:12.720
<v Speaker 14>it seemed to work just like a charm, at least

0:19:12.760 --> 0:19:15.119
<v Speaker 14>from what we saw. And so I think they've proved

0:19:15.200 --> 0:19:18.520
<v Speaker 14>a lot of skeptics wrong over the weekend.

0:19:18.640 --> 0:19:22.440
<v Speaker 15>And now NASA going is fall to consider that maybe

0:19:22.480 --> 0:19:26.040
<v Speaker 15>we'll be landing on the Moon, maybe using of cool

0:19:26.119 --> 0:19:28.880
<v Speaker 15>Starship as lotly as twenty twenty five, told us through

0:19:28.880 --> 0:19:30.240
<v Speaker 15>what needs to happen to get that on.

0:19:31.200 --> 0:19:33.879
<v Speaker 14>Yeah, I think the current plan is landing in twenty

0:19:33.920 --> 0:19:38.439
<v Speaker 14>twenty six with people, but you know, just to caution,

0:19:38.520 --> 0:19:42.159
<v Speaker 14>there's still quite a long road ahead for Starship. Obviously,

0:19:42.240 --> 0:19:45.399
<v Speaker 14>this was a huge milestone for the company, but next

0:19:45.440 --> 0:19:49.280
<v Speaker 14>they really need to showcase that they can refuel Starship

0:19:49.320 --> 0:19:52.000
<v Speaker 14>in orbit and so that's essentially like filling up at

0:19:52.040 --> 0:19:55.560
<v Speaker 14>the cast tank, but with a lot more engineering challenges.

0:19:56.040 --> 0:19:57.520
<v Speaker 9>But this will be crucial to.

0:19:57.480 --> 0:20:01.080
<v Speaker 14>That because they have to catch and then relaunched the

0:20:01.080 --> 0:20:04.080
<v Speaker 14>booster over and over again with back to back launches

0:20:04.080 --> 0:20:06.280
<v Speaker 14>in order to perform those refueling missions.

0:20:06.960 --> 0:20:11.000
<v Speaker 3>So the other Starship gets up to orbital altitude, orbital speeds,

0:20:11.040 --> 0:20:14.879
<v Speaker 3>goes around the world, and control lands into the Indian Ocean.

0:20:15.080 --> 0:20:17.359
<v Speaker 5>Taught me through that part please. Yeah.

0:20:17.359 --> 0:20:20.440
<v Speaker 14>So during the last flight, you know, Starship struggled when

0:20:20.480 --> 0:20:23.160
<v Speaker 14>it came back from space. We could see it kind

0:20:23.200 --> 0:20:25.760
<v Speaker 14>of burning up and breaking apart when it was plunging

0:20:25.800 --> 0:20:28.439
<v Speaker 14>through the atmosphere. But SpaceX said that they did a

0:20:28.600 --> 0:20:32.520
<v Speaker 14>total revamp on the heat shield on Starship, and from

0:20:32.520 --> 0:20:35.520
<v Speaker 14>what we saw, it seemed to survive relatively intact. I

0:20:35.520 --> 0:20:38.119
<v Speaker 14>think we saw a little burn through, but definitely not

0:20:38.240 --> 0:20:41.520
<v Speaker 14>nearly as significant as the prior play. And then so

0:20:41.680 --> 0:20:44.360
<v Speaker 14>it did survive, and then when they tried to splash

0:20:44.400 --> 0:20:47.159
<v Speaker 14>down in the ocean, they were able to flip and

0:20:47.240 --> 0:20:50.679
<v Speaker 14>kind of do a pretty precise landing. So yeah, it

0:20:50.800 --> 0:20:53.920
<v Speaker 14>really was a big milestone for both the Booster and Starship,

0:20:54.000 --> 0:20:58.800
<v Speaker 14>showcasing that maybe this rocket can be fully reusable, which is,

0:20:58.960 --> 0:21:01.280
<v Speaker 14>to be fair, something that SpaceX hasn't been able to

0:21:01.320 --> 0:21:03.119
<v Speaker 14>achieve yet with its Falcon nine.

0:21:03.280 --> 0:21:04.640
<v Speaker 9>You know, part of the Falcon.

0:21:04.400 --> 0:21:07.879
<v Speaker 14>Nine still goes unused or is destroyed after launch, and

0:21:07.920 --> 0:21:11.000
<v Speaker 14>so this would be a huge paradigm shift for SpaceX

0:21:11.040 --> 0:21:13.520
<v Speaker 14>and the launch industry in general.

0:21:13.880 --> 0:21:24.800
<v Speaker 2>Line crash, Welcome back to bluemog Technology. I'm Caroline Hyde

0:21:24.800 --> 0:21:25.200
<v Speaker 2>in New York.

0:21:25.720 --> 0:21:27.240
<v Speaker 5>Now I med loll in San Francisco.

0:21:27.359 --> 0:21:29.560
<v Speaker 2>Quick check on these market said, because we've got to

0:21:29.600 --> 0:21:31.399
<v Speaker 2>risk and feel that we're dialing back from our previous

0:21:31.440 --> 0:21:33.760
<v Speaker 2>highs on the NASAQ, we're still up some six tenths percent.

0:21:33.800 --> 0:21:36.240
<v Speaker 2>All eyes on earnings, All eyes on, of course, where

0:21:36.280 --> 0:21:40.120
<v Speaker 2>we'll see stimulus coming from China. Now, interestingly, the NASDAT

0:21:40.119 --> 0:21:42.920
<v Speaker 2>Golden Dragon Index, which tracks some of the key tech

0:21:43.040 --> 0:21:45.040
<v Speaker 2>names over in China. Training here in the US is

0:21:45.080 --> 0:21:47.760
<v Speaker 2>down by a percentage point. Even though Chinese stocks managed

0:21:47.760 --> 0:21:50.400
<v Speaker 2>to ramp up higher in their day of trade.

0:21:50.480 --> 0:21:51.320
<v Speaker 4>We maybe call off.

0:21:51.320 --> 0:21:54.000
<v Speaker 2>We're still waiting for that fiscal stimulus coming from China,

0:21:54.119 --> 0:21:57.440
<v Speaker 2>China being factored into crypto more broadly. But once again,

0:21:57.480 --> 0:22:00.040
<v Speaker 2>Bitcoin up five percent, a good strong play for that,

0:22:00.320 --> 0:22:02.240
<v Speaker 2>and we're seeing and it's training gets higher since July.

0:22:02.600 --> 0:22:04.840
<v Speaker 2>That as we also debate what is happening in terms

0:22:04.880 --> 0:22:06.600
<v Speaker 2>of the US economy where interest rates go and the

0:22:06.800 --> 0:22:08.520
<v Speaker 2>like move on, have a look at what's happening in

0:22:08.600 --> 0:22:11.440
<v Speaker 2>terms of overall big names that drivers higher. I'm looking

0:22:11.480 --> 0:22:13.159
<v Speaker 2>at Adobe up two point three percent. We have a

0:22:13.200 --> 0:22:16.480
<v Speaker 2>crucial conversation coming with a CEO, new generator of AI

0:22:16.560 --> 0:22:17.879
<v Speaker 2>in the world of video.

0:22:17.960 --> 0:22:18.600
<v Speaker 5>We'll get that to.

0:22:18.520 --> 0:22:20.359
<v Speaker 2>You in a moment. A SML though one of the

0:22:20.440 --> 0:22:22.600
<v Speaker 2>key points drivers on the nasat one hundred, of course,

0:22:22.680 --> 0:22:26.040
<v Speaker 2>European chip equipment maker is driving up one two point

0:22:26.080 --> 0:22:28.360
<v Speaker 2>six percent. Look all eyes on earnings they come out

0:22:28.560 --> 0:22:31.240
<v Speaker 2>on October the sixteenth, and I'm looking at Video. Look

0:22:31.400 --> 0:22:34.159
<v Speaker 2>once again, this three trillion dollar company is managing to

0:22:34.160 --> 0:22:37.400
<v Speaker 2>help take the benchmarks higher, all based on optimism around

0:22:37.400 --> 0:22:40.679
<v Speaker 2>the Blackwell focus, but also just AI more broadly. But

0:22:40.680 --> 0:22:41.880
<v Speaker 2>we've got an interesting take on.

0:22:41.840 --> 0:22:48.119
<v Speaker 3>AI now ed okay, buckle up. Open ai is going

0:22:48.119 --> 0:22:50.840
<v Speaker 3>to war with a man who owns a trademark and

0:22:50.920 --> 0:22:56.520
<v Speaker 3>website with the name open Ai with a Space. The

0:22:56.520 --> 0:22:59.080
<v Speaker 3>man at the center of the lawsuit filed a trademark

0:22:59.119 --> 0:23:02.800
<v Speaker 3>on the name open space Ai the same day Sam

0:23:02.840 --> 0:23:07.560
<v Speaker 3>Altman and Greg Brockman announced their company Open Ai. This man,

0:23:07.800 --> 0:23:11.520
<v Speaker 3>Guy Ravine, claims to have invented the video sharing technology

0:23:11.600 --> 0:23:15.680
<v Speaker 3>later made famous by Snapchat and TikTok. Evan Ratliff wrote

0:23:15.720 --> 0:23:19.000
<v Speaker 3>about it in Bloomberg BusinessWeek and joins us, Now, it

0:23:19.119 --> 0:23:24.280
<v Speaker 3>is an incredible tale, some incredible reporting. It's probably one

0:23:24.320 --> 0:23:27.920
<v Speaker 3>where chronology is important. So let's start at the beginning.

0:23:28.840 --> 0:23:32.480
<v Speaker 3>Open space AI and open ai were born at the

0:23:32.520 --> 0:23:33.159
<v Speaker 3>same time.

0:23:33.480 --> 0:23:34.240
<v Speaker 5>Take us from there.

0:23:35.880 --> 0:23:39.680
<v Speaker 16>So essentially, this gentleman, Guy Ravine, who is a kind

0:23:39.720 --> 0:23:45.120
<v Speaker 16>of technologist inventor, who was in Silicon Valley, he had

0:23:45.160 --> 0:23:47.679
<v Speaker 16>come up with an idea and he could document this

0:23:47.920 --> 0:23:51.040
<v Speaker 16>for open ai with a Space, and the idea was

0:23:51.600 --> 0:23:55.280
<v Speaker 16>that it would be a nonprofit that would be engaged

0:23:55.320 --> 0:23:58.200
<v Speaker 16>in deep learning research, and the way that they would

0:23:58.280 --> 0:24:01.760
<v Speaker 16>lure researchers away from Google, which was dominating deep learning

0:24:01.760 --> 0:24:04.119
<v Speaker 16>research at the time, was that they would say that

0:24:04.280 --> 0:24:06.680
<v Speaker 16>everything would be open, the research would be open, it

0:24:06.720 --> 0:24:09.280
<v Speaker 16>would all be done for the benefit of humanity. And

0:24:09.359 --> 0:24:11.919
<v Speaker 16>if you know anything about open ai, the company, the

0:24:12.000 --> 0:24:15.240
<v Speaker 16>organization open ai without a space, that is also.

0:24:15.000 --> 0:24:15.959
<v Speaker 1>Their origin story.

0:24:16.760 --> 0:24:21.199
<v Speaker 16>They just launched some months after Ravine can document that

0:24:21.240 --> 0:24:23.639
<v Speaker 16>he was pitching this story around Silicabaluy, so they launched

0:24:23.680 --> 0:24:25.800
<v Speaker 16>in December of twenty eleven.

0:24:26.400 --> 0:24:30.040
<v Speaker 2>The pitching is important because you originally thought Evan might

0:24:30.080 --> 0:24:32.040
<v Speaker 2>be a bit of a scammer, and then he went

0:24:32.160 --> 0:24:35.160
<v Speaker 2>to some of the really key names in Silicum Valley,

0:24:35.320 --> 0:24:39.200
<v Speaker 2>Jan Lukumb for example, and asked like did he come

0:24:39.240 --> 0:24:41.600
<v Speaker 2>to is he legit? And one key person came back

0:24:41.640 --> 0:24:42.480
<v Speaker 2>and said, I think he is.

0:24:43.920 --> 0:24:45.840
<v Speaker 16>He did, And that's to me is what makes this

0:24:45.880 --> 0:24:48.919
<v Speaker 16>story so interesting and different and kind of the story

0:24:48.920 --> 0:24:50.560
<v Speaker 16>that you don't hear about very often, which is that

0:24:50.800 --> 0:24:53.159
<v Speaker 16>it had first seemed like this was kind of what

0:24:53.200 --> 0:24:55.560
<v Speaker 16>they call a trademark troll lawsuit, like he filed at

0:24:55.600 --> 0:24:58.520
<v Speaker 16>the trademark the day that open ai launched like maybe

0:24:58.520 --> 0:25:00.680
<v Speaker 16>he's just trying to usurp it from them. He owns

0:25:00.720 --> 0:25:04.160
<v Speaker 16>the domain open ai. But then it turned out that

0:25:04.480 --> 0:25:06.200
<v Speaker 16>some of the people that he had pitched to, one

0:25:06.240 --> 0:25:09.120
<v Speaker 16>in particular Tom Gruber, who's the co inventor of Siri,

0:25:09.480 --> 0:25:11.840
<v Speaker 16>who used to be at Apple, who's a respected name

0:25:11.880 --> 0:25:15.680
<v Speaker 16>in AI, he's backing guy r v Up. He says, yes,

0:25:15.920 --> 0:25:18.439
<v Speaker 16>he pitched me this idea. Not only did pitch me

0:25:18.480 --> 0:25:21.320
<v Speaker 16>this idea, I can document that he had it before

0:25:22.160 --> 0:25:25.520
<v Speaker 16>open ai the company launched, And so it's not a

0:25:25.560 --> 0:25:28.800
<v Speaker 16>case of someone just claiming something out there in the blue.

0:25:29.000 --> 0:25:31.679
<v Speaker 16>It's actually there are people to whom he pitched the story,

0:25:31.880 --> 0:25:34.280
<v Speaker 16>and there are documents showing that he pitched the idea

0:25:34.760 --> 0:25:37.400
<v Speaker 16>before it launched. Now whether that legally matters is going

0:25:37.480 --> 0:25:39.399
<v Speaker 16>to be decided in the courts.

0:25:40.440 --> 0:25:43.040
<v Speaker 3>If you're just joining us on Bloomberg Technology, this really

0:25:43.080 --> 0:25:47.000
<v Speaker 3>is a must read in the BusinessWeek magazine. There's litigation

0:25:47.080 --> 0:25:49.879
<v Speaker 3>on going here, right, there's the trademark dispute. There's a suit.

0:25:50.040 --> 0:25:52.879
<v Speaker 3>Just update us on the latest on those front seven.

0:25:54.400 --> 0:25:58.000
<v Speaker 16>So essentially, I mean open ai has has really prevailed

0:25:58.040 --> 0:25:59.920
<v Speaker 16>in the arguments so far. I mean they got a

0:26:00.000 --> 0:26:02.720
<v Speaker 16>preliminary injunction against Guy Ravine, so he can no longer

0:26:02.840 --> 0:26:07.359
<v Speaker 16>use open ai the trademark or the domain open dot ai,

0:26:07.400 --> 0:26:10.919
<v Speaker 16>which he again bought well before open ai launched.

0:26:10.680 --> 0:26:12.440
<v Speaker 1>So he can't use either of those right now.

0:26:13.359 --> 0:26:16.080
<v Speaker 16>He filed a countersuit against them, claiming they stole the

0:26:16.119 --> 0:26:18.880
<v Speaker 16>idea from him. That most of that countersuit was dismissed

0:26:18.880 --> 0:26:22.440
<v Speaker 16>and now it's been refiled, so he's had setbacks in court,

0:26:23.160 --> 0:26:24.639
<v Speaker 16>but they're a long way.

0:26:24.440 --> 0:26:26.680
<v Speaker 1>From you know, what would eventually.

0:26:26.200 --> 0:26:28.040
<v Speaker 16>Be likely a jury trial if they ever got that

0:26:28.119 --> 0:26:30.159
<v Speaker 16>far that that would be minimum months.

0:26:30.240 --> 0:26:31.920
<v Speaker 1>If not, you know, over a year away.

0:26:33.080 --> 0:26:36.879
<v Speaker 2>These things always take an awful lot of time. Evan,

0:26:36.920 --> 0:26:39.600
<v Speaker 2>what do you think the response will be from open

0:26:39.640 --> 0:26:42.600
<v Speaker 2>ai to this investigation of yours? How have you been

0:26:42.720 --> 0:26:46.560
<v Speaker 2>talking to the company without a space, Well.

0:26:46.400 --> 0:26:49.840
<v Speaker 16>The company didn't have much interest in commenting. I mean,

0:26:49.880 --> 0:26:52.639
<v Speaker 16>of course they've they've filed a lot of arguments in

0:26:52.680 --> 0:26:55.520
<v Speaker 16>court and so they're sort of their comments are in

0:26:55.640 --> 0:26:58.240
<v Speaker 16>their legal briefs. Their only sort of general comment was,

0:26:58.280 --> 0:27:01.040
<v Speaker 16>you know, we took legal action action to stop the

0:27:01.040 --> 0:27:04.640
<v Speaker 16>intentional use of open ai from confusing and misleading our users.

0:27:05.160 --> 0:27:06.679
<v Speaker 1>Now, I think one of.

0:27:06.680 --> 0:27:08.400
<v Speaker 16>The big questions around the lawsuit is why don't they

0:27:08.400 --> 0:27:11.760
<v Speaker 16>just settle this lawsuit? Because the money that they're spending

0:27:11.960 --> 0:27:16.320
<v Speaker 16>in lawyers is probably, you could guess, already greater than

0:27:16.320 --> 0:27:18.800
<v Speaker 16>they might have settled the lawsuit for it. And the longer

0:27:18.800 --> 0:27:21.040
<v Speaker 16>it goes on, the more that's true. Now, whether they

0:27:21.040 --> 0:27:24.040
<v Speaker 16>want to make an example of Guyravine or with their

0:27:24.080 --> 0:27:26.199
<v Speaker 16>new funding round, it doesn't really matter to them how

0:27:26.280 --> 0:27:27.119
<v Speaker 16>much money they spend.

0:27:27.160 --> 0:27:28.639
<v Speaker 1>I think those will be the questions.

0:27:29.000 --> 0:27:32.199
<v Speaker 16>But I think the pressure always mounts the closer you

0:27:32.280 --> 0:27:33.840
<v Speaker 16>get to actually having a jury trial.

0:27:34.240 --> 0:27:37.520
<v Speaker 2>Extraordinary story. Go read it, Evan Ratliff. We thank you,

0:27:38.200 --> 0:27:38.760
<v Speaker 2>ed what forgot?

0:27:39.760 --> 0:27:43.080
<v Speaker 3>Many more stories in today's Talking Tech and first start

0:27:43.520 --> 0:27:45.840
<v Speaker 3>what are we looking at? Bank of America has folded

0:27:45.920 --> 0:27:50.080
<v Speaker 3>its fintech investment banking team into its tech practice, moving

0:27:50.119 --> 0:27:53.960
<v Speaker 3>about fifty bankers into its roughly two hundred strong tech group.

0:27:53.960 --> 0:27:56.159
<v Speaker 3>According to the Bank's chairman of Global m and A,

0:27:56.520 --> 0:27:59.119
<v Speaker 3>this is a move reflecting an industry wide shift in

0:27:59.160 --> 0:28:03.560
<v Speaker 3>financial service is toward software. Speaking of fintech, so far

0:28:03.600 --> 0:28:05.679
<v Speaker 3>as Reeds to Bild to use two billion dollars of

0:28:05.720 --> 0:28:10.080
<v Speaker 3>Fortress Investment Group funds for the origination of personal loans.

0:28:10.280 --> 0:28:12.600
<v Speaker 3>The online banks in the agreement will expand its loan

0:28:12.640 --> 0:28:16.840
<v Speaker 3>platform business of brokering deals for pre qualified borrowers and

0:28:16.880 --> 0:28:18.480
<v Speaker 3>originating loans on the.

0:28:18.440 --> 0:28:20.000
<v Speaker 5>Behalf of third parties.

0:28:20.280 --> 0:28:23.240
<v Speaker 3>And South Korea's exports of tech products slowed for a

0:28:23.280 --> 0:28:27.040
<v Speaker 3>third straight month, in indication that global demand may be

0:28:27.160 --> 0:28:30.800
<v Speaker 3>peeking out, according to government data that also showed memory

0:28:30.880 --> 0:28:35.080
<v Speaker 3>chip shipments and prices are starting to lose some momentum.

0:28:35.240 --> 0:28:39.360
<v Speaker 2>Caroline, Now, let's talk fast fashion giant. Shean's potential London

0:28:39.400 --> 0:28:43.040
<v Speaker 2>listing has attracted controversy and mere allegations of forced labor.

0:28:43.240 --> 0:28:43.400
<v Speaker 4>Now.

0:28:43.520 --> 0:28:47.280
<v Speaker 2>UK Prime Minister Kirs Starmer addressed these concerns today. The

0:28:47.280 --> 0:28:49.320
<v Speaker 2>Bloomberg's head of economics, Stephanie.

0:28:48.960 --> 0:28:51.560
<v Speaker 17>Flanders, well, I think we've got to get the balance

0:28:51.640 --> 0:28:55.960
<v Speaker 17>right and clearly we've got to have standards, high stands.

0:28:56.000 --> 0:29:00.320
<v Speaker 17>We do have high standards, not least for example in

0:29:00.480 --> 0:29:02.440
<v Speaker 17>rights at work, and I address that in my speech

0:29:02.440 --> 0:29:05.520
<v Speaker 17>here today to say look better rights and protection for

0:29:05.600 --> 0:29:07.200
<v Speaker 17>people in their workplace are.

0:29:07.040 --> 0:29:08.040
<v Speaker 11>Good for growth.

0:29:08.160 --> 0:29:10.920
<v Speaker 17>So we're clear where we stand on standards, but we're

0:29:10.920 --> 0:29:14.800
<v Speaker 17>future looking, we're pragmatic and subject to those standards. Then yes,

0:29:14.800 --> 0:29:17.320
<v Speaker 17>we do want investment into the United Kingdom because we

0:29:17.480 --> 0:29:20.200
<v Speaker 17>desperately need growth in this come. We have had meaningful

0:29:20.200 --> 0:29:22.800
<v Speaker 17>growth in the economy in the United Kingdom for fourteen

0:29:22.880 --> 0:29:25.080
<v Speaker 17>long years. We're determined to turn that around.

0:29:25.400 --> 0:29:27.440
<v Speaker 18>Just to be clear on that, so the government would

0:29:27.480 --> 0:29:31.240
<v Speaker 18>need to be sure that sheeds not using forced labor

0:29:31.440 --> 0:29:34.120
<v Speaker 18>in Hinjang before it could list in the UK.

0:29:34.320 --> 0:29:36.560
<v Speaker 17>I'm not going to get into individual businesses. What I

0:29:36.560 --> 0:29:39.000
<v Speaker 17>will say it and be very clear about it. Standards

0:29:39.000 --> 0:29:41.120
<v Speaker 17>and high standards do matter to us, So of course

0:29:41.160 --> 0:29:43.600
<v Speaker 17>we'll be looking at any issue that goes to high

0:29:43.680 --> 0:29:48.240
<v Speaker 17>standards with a particular feature on the rights of the workforce.

0:29:48.520 --> 0:29:50.920
<v Speaker 17>And we've been really clear that we see that as

0:29:51.640 --> 0:29:54.200
<v Speaker 17>two sides of the same coin when it comes to growth.

0:29:54.680 --> 0:29:57.960
<v Speaker 17>Good employment rights and protections and a lot of drag

0:29:58.080 --> 0:30:01.240
<v Speaker 17>on growth. They're fundamental for growth, and I think pretty

0:30:01.240 --> 0:30:03.720
<v Speaker 17>well all good businesses understand that, which is why in

0:30:03.720 --> 0:30:06.440
<v Speaker 17>many cases they've already put in place some of the

0:30:06.480 --> 0:30:09.400
<v Speaker 17>rights and protections that we are bringing forward in legislation.

0:30:11.520 --> 0:30:15.960
<v Speaker 3>Okay, coming up, Adobe launches a new AI video generator.

0:30:15.960 --> 0:30:19.200
<v Speaker 3>We're going to speak with Adobe CEO Shantanu Naran. That

0:30:19.400 --> 0:30:23.160
<v Speaker 3>is next, what a conversation. This is Bloomberg Technology.

0:30:32.840 --> 0:30:37.560
<v Speaker 2>Adobe makes its AI video debut, announcing new tools allowing

0:30:37.560 --> 0:30:40.480
<v Speaker 2>for video generation now. The company calls it Firefly, and

0:30:40.520 --> 0:30:43.160
<v Speaker 2>it's set to be implemented in its video editing software

0:30:43.160 --> 0:30:45.840
<v Speaker 2>Premiere Pro, taking on, of course, the likes of Open Ai,

0:30:45.960 --> 0:30:49.920
<v Speaker 2>Meta Google a place to say. Adobe CEO Shantanu Orian

0:30:50.080 --> 0:30:54.120
<v Speaker 2>joins us now on the back of the announcement in Miami. Shantanu,

0:30:54.480 --> 0:30:57.040
<v Speaker 2>what's interesting is you're getting it into the hands of

0:30:57.160 --> 0:31:01.320
<v Speaker 2>users faster than rivals. Is it based on what it's

0:31:01.360 --> 0:31:03.360
<v Speaker 2>trained upon? How are you able to give it to

0:31:03.440 --> 0:31:03.960
<v Speaker 2>us so quick?

0:31:05.600 --> 0:31:08.280
<v Speaker 18>Well, Caroline, first, thanks for having me on the show.

0:31:08.440 --> 0:31:08.760
<v Speaker 4>Max.

0:31:08.800 --> 0:31:12.520
<v Speaker 18>As you know, is our biggest creativity event, and it's

0:31:12.560 --> 0:31:15.760
<v Speaker 18>the time that our engineers really take it upon themselves

0:31:16.400 --> 0:31:19.480
<v Speaker 18>to show their magic to the entire creative community.

0:31:20.240 --> 0:31:22.320
<v Speaker 4>As you point out, we have been.

0:31:22.280 --> 0:31:25.440
<v Speaker 18>Hard at work ensuring that our Firefly set of models

0:31:25.760 --> 0:31:29.640
<v Speaker 18>works on things like images and vector in design. But

0:31:29.680 --> 0:31:33.280
<v Speaker 18>today's a big day because we have been releasing our

0:31:33.320 --> 0:31:37.320
<v Speaker 18>Firefly video models. You know, our strategy has always been

0:31:37.400 --> 0:31:39.960
<v Speaker 18>that it's not just about the models that people develop,

0:31:40.320 --> 0:31:42.680
<v Speaker 18>but it's the integration with the apps.

0:31:42.360 --> 0:31:43.719
<v Speaker 4>Where the real magic is.

0:31:43.840 --> 0:31:47.040
<v Speaker 18>And so we've had thirteen billion generations where people have

0:31:47.200 --> 0:31:50.560
<v Speaker 18>used either Photoshop or illustrator to do it, and today

0:31:50.600 --> 0:31:53.959
<v Speaker 18>that magic comes to video in Premiere Pro, will be

0:31:54.000 --> 0:31:58.560
<v Speaker 18>in after effects as well as on firefly dot com Santani.

0:31:59.320 --> 0:32:02.520
<v Speaker 3>The most interesting part is the accessibility. There are no

0:32:02.720 --> 0:32:07.000
<v Speaker 3>usage limits one, but beyond the basic subscription fees, you're

0:32:07.040 --> 0:32:09.520
<v Speaker 3>not charging for the AI tools.

0:32:09.960 --> 0:32:11.440
<v Speaker 5>Will that change.

0:32:12.520 --> 0:32:13.680
<v Speaker 4>Well, Our focus.

0:32:13.320 --> 0:32:17.000
<v Speaker 18>Really first is on ensuring that we develop these great models.

0:32:17.040 --> 0:32:19.880
<v Speaker 18>We're very differentiated, and these models were designed to be

0:32:19.960 --> 0:32:24.120
<v Speaker 18>commercially safe, so they've only been trained on licensed and

0:32:24.200 --> 0:32:25.840
<v Speaker 18>public domain content.

0:32:26.000 --> 0:32:28.600
<v Speaker 4>And you know, we want people to experiment with it.

0:32:28.640 --> 0:32:32.640
<v Speaker 18>So I think clearly on the imaging, vector and design front,

0:32:33.080 --> 0:32:35.200
<v Speaker 18>we have said as part of the subscription we don't

0:32:35.200 --> 0:32:37.800
<v Speaker 18>want you to think about credits. We just want you

0:32:37.840 --> 0:32:40.760
<v Speaker 18>to experience the magic that exists. A video might be

0:32:40.800 --> 0:32:43.200
<v Speaker 18>a little bit different at what we've announced today is

0:32:43.240 --> 0:32:46.200
<v Speaker 18>that it's available in a beta form. The cost of

0:32:46.320 --> 0:32:50.160
<v Speaker 18>producing video is clearly a little bit more expensive, but

0:32:50.320 --> 0:32:52.200
<v Speaker 18>first steps is to just get it in the hands

0:32:52.240 --> 0:32:55.400
<v Speaker 18>of people, have them try it, give us feedback, make

0:32:55.440 --> 0:32:58.480
<v Speaker 18>sure it's specific, and then as I think the amount

0:32:58.520 --> 0:33:03.280
<v Speaker 18>of video that's being generated is expanding. We will probably

0:33:03.320 --> 0:33:05.080
<v Speaker 18>have different pricing models for that.

0:33:06.720 --> 0:33:09.200
<v Speaker 3>One of the features is to take an existing piece

0:33:09.240 --> 0:33:11.760
<v Speaker 3>of video and use generative AI to.

0:33:11.840 --> 0:33:14.240
<v Speaker 5>Extend it, extend beyond actual.

0:33:14.760 --> 0:33:17.600
<v Speaker 3>As someone that trained in their early career on premiere,

0:33:17.880 --> 0:33:19.080
<v Speaker 3>I'm excited.

0:33:18.640 --> 0:33:19.360
<v Speaker 5>To use that.

0:33:19.720 --> 0:33:23.600
<v Speaker 3>How technically difficult was it for Adobe to achieve that

0:33:23.680 --> 0:33:25.280
<v Speaker 3>versus the work you've done in photo.

0:33:27.000 --> 0:33:30.160
<v Speaker 18>Well, every time you show something in photo and people say,

0:33:30.200 --> 0:33:34.440
<v Speaker 18>oh my god, that's magic. To your point, the ability

0:33:34.480 --> 0:33:37.960
<v Speaker 18>to extend that into video across every frame is so

0:33:38.120 --> 0:33:42.160
<v Speaker 18>much more computationally intensive as well as challenging in order

0:33:42.200 --> 0:33:42.400
<v Speaker 18>to do.

0:33:42.520 --> 0:33:45.160
<v Speaker 4>But the use cases are so dramatic. You've had a

0:33:45.240 --> 0:33:47.120
<v Speaker 4>video for some reason.

0:33:46.840 --> 0:33:49.400
<v Speaker 18>Unfortunately it got clipped off and you just want to

0:33:49.440 --> 0:33:52.480
<v Speaker 18>extend it. You have video that you want to align

0:33:52.560 --> 0:33:55.440
<v Speaker 18>with audio, the song is not long enough.

0:33:55.480 --> 0:33:56.120
<v Speaker 4>How do you do it?

0:33:56.360 --> 0:34:00.520
<v Speaker 18>So I think this generative extend concept, which is you know,

0:34:00.600 --> 0:34:04.240
<v Speaker 18>really something that's very pervasive in video editing, is something

0:34:04.280 --> 0:34:05.760
<v Speaker 18>that the customers will really like.

0:34:06.000 --> 0:34:08.320
<v Speaker 4>The Other thing that we've done is because.

0:34:08.040 --> 0:34:10.920
<v Speaker 18>We can now analyze every frame when you want to

0:34:10.960 --> 0:34:14.959
<v Speaker 18>remove something that inadvertently came into the image. You don't

0:34:14.960 --> 0:34:17.839
<v Speaker 18>have to go through the entire process again, you can

0:34:17.960 --> 0:34:20.960
<v Speaker 18>just through post production change it. So some pretty incredible

0:34:21.000 --> 0:34:24.800
<v Speaker 18>stuff and we're really excited to see what our customers

0:34:24.840 --> 0:34:25.239
<v Speaker 18>do with this.

0:34:25.800 --> 0:34:31.560
<v Speaker 2>You talked about the computational feat the intensity, what about GPUs,

0:34:31.680 --> 0:34:34.560
<v Speaker 2>what about your own access to compute?

0:34:35.719 --> 0:34:38.960
<v Speaker 18>You know, well, we've partnered with you know, Nvideo for

0:34:39.320 --> 0:34:42.600
<v Speaker 18>years in making sure all of this stuff is available.

0:34:43.239 --> 0:34:45.480
<v Speaker 18>You know, it was great to hear from Jensen this

0:34:45.560 --> 0:34:49.520
<v Speaker 18>morning when he heard about our new announcements. But you know,

0:34:49.560 --> 0:34:52.759
<v Speaker 18>we're partnering with all of the chip manufacturers as well

0:34:52.800 --> 0:34:56.120
<v Speaker 18>as all of the hyper scalers because our intent is

0:34:56.520 --> 0:35:00.680
<v Speaker 18>not just to make this magic available through you those chips,

0:35:00.719 --> 0:35:04.279
<v Speaker 18>but also increasingly people are talking about how you can

0:35:04.280 --> 0:35:06.799
<v Speaker 18>make this available on a mobile device or in a

0:35:06.840 --> 0:35:10.200
<v Speaker 18>hybrid environment. So, you know, as long as they keep

0:35:10.880 --> 0:35:14.120
<v Speaker 18>performing in terms of what they are doing innovation on

0:35:14.160 --> 0:35:18.800
<v Speaker 18>the chips, we'll take advantage of every single available GPU

0:35:18.840 --> 0:35:20.480
<v Speaker 18>and CPU for our customers.

0:35:20.960 --> 0:35:25.160
<v Speaker 2>That's expensive and also, look, investors have been so excited

0:35:25.200 --> 0:35:28.320
<v Speaker 2>around just generative AI full stop, but they want to

0:35:28.320 --> 0:35:31.279
<v Speaker 2>see the revenue, they want to see the profitability. Chantanouje,

0:35:31.280 --> 0:35:34.279
<v Speaker 2>you feel that you're able to give more light, more

0:35:34.320 --> 0:35:36.960
<v Speaker 2>clarity to the market as to when this really becomes

0:35:37.600 --> 0:35:38.800
<v Speaker 2>very revenue generating.

0:35:40.120 --> 0:35:43.799
<v Speaker 18>You're absolutely right, Carolin, that all of the focus thus

0:35:43.840 --> 0:35:46.480
<v Speaker 18>far has been on training, and people have been creating

0:35:46.520 --> 0:35:49.879
<v Speaker 18>all the models, and so all of the investment that's

0:35:49.960 --> 0:35:53.280
<v Speaker 18>actually happening is on the training side of the equation. However,

0:35:53.680 --> 0:35:57.920
<v Speaker 18>I think Adobe has delivered more generative AI software than

0:35:58.000 --> 0:36:02.360
<v Speaker 18>virtually any other large company that had a traditional business.

0:36:02.400 --> 0:36:04.800
<v Speaker 18>So if you think about what we've done with Acrobat

0:36:04.800 --> 0:36:08.319
<v Speaker 18>AI Assistant or Photoshop, and clearly the emphasis has to

0:36:08.360 --> 0:36:11.760
<v Speaker 18>go on inference because that's where people are seeing value,

0:36:11.800 --> 0:36:16.239
<v Speaker 18>that's where it's getting embedded in the workflows. We will

0:36:16.280 --> 0:36:19.279
<v Speaker 18>have three or four different ways in which we monetize it,

0:36:19.320 --> 0:36:21.439
<v Speaker 18>and we have a financial analyst Q and A where

0:36:21.440 --> 0:36:23.920
<v Speaker 18>we will talk about this as well. But as you

0:36:24.680 --> 0:36:28.520
<v Speaker 18>insight into that, certainly our subscription tier pricing will have

0:36:28.600 --> 0:36:31.480
<v Speaker 18>the ability to lose some of this AI. We will

0:36:31.480 --> 0:36:35.040
<v Speaker 18>have add on services. Firefly services is being used by

0:36:35.080 --> 0:36:38.640
<v Speaker 18>every large enterprise. They want to understand how they create

0:36:38.640 --> 0:36:41.840
<v Speaker 18>a custom model where they can have, for example, Bloomberg

0:36:41.920 --> 0:36:45.200
<v Speaker 18>assets in a custom model where only Bloomberg is allowed

0:36:45.200 --> 0:36:47.680
<v Speaker 18>to generate with that content. So I think we have

0:36:47.800 --> 0:36:51.920
<v Speaker 18>multiple ways in which we monetize it today. Already, performance

0:36:52.120 --> 0:36:55.399
<v Speaker 18>marketers will have a new product today which is called

0:36:55.480 --> 0:36:58.640
<v Speaker 18>gen Studio, so you can increase the agility by which

0:36:58.640 --> 0:37:02.000
<v Speaker 18>you place ads on every advertising system. So, you know,

0:37:02.040 --> 0:37:05.400
<v Speaker 18>we're both excited about the technology and the value, but

0:37:05.480 --> 0:37:08.880
<v Speaker 18>we're also confident that customers will see the value and

0:37:08.960 --> 0:37:10.319
<v Speaker 18>enable us to monetize it.

0:37:11.520 --> 0:37:15.160
<v Speaker 3>Chantonau intense interest in your M and A strategy. Karen

0:37:15.200 --> 0:37:18.040
<v Speaker 3>and I were with the Runway CEO last week. Will

0:37:18.080 --> 0:37:19.760
<v Speaker 3>you look at companies like Runway.

0:37:20.840 --> 0:37:22.160
<v Speaker 4>We're partnering with Runway.

0:37:22.440 --> 0:37:25.160
<v Speaker 18>You know, I think as it relates to models, we

0:37:25.200 --> 0:37:29.720
<v Speaker 18>believe that Adobe for its core domains such as video

0:37:29.800 --> 0:37:33.640
<v Speaker 18>and imaging and design, and we will certainly have our

0:37:33.680 --> 0:37:36.959
<v Speaker 18>own models, but people will want us to support third

0:37:36.960 --> 0:37:40.520
<v Speaker 18>party models in our applications because that is the interface

0:37:40.600 --> 0:37:44.440
<v Speaker 18>that everybody uses. We've demonstrated that for video at IBC

0:37:44.640 --> 0:37:48.240
<v Speaker 18>with Runway, and certainly we will support these customer models.

0:37:48.239 --> 0:37:50.680
<v Speaker 18>As I said, so if your Coke or Nike or

0:37:50.719 --> 0:37:54.040
<v Speaker 18>Bank of America and you're using it within your context,

0:37:54.080 --> 0:37:56.640
<v Speaker 18>you have access to that, so you know this is

0:37:56.680 --> 0:37:57.040
<v Speaker 18>going to.

0:37:57.000 --> 0:37:58.840
<v Speaker 4>Be such an exciting area.

0:37:59.320 --> 0:38:02.360
<v Speaker 18>Each model, I believe ed will have its own personality.

0:38:02.680 --> 0:38:05.560
<v Speaker 18>So rather than you know, try to create one model,

0:38:05.600 --> 0:38:08.359
<v Speaker 18>that's the super said, We're going to support all these

0:38:08.400 --> 0:38:11.480
<v Speaker 18>models because they will do some things differently and better.

0:38:12.760 --> 0:38:15.600
<v Speaker 3>Adobe CEO shantanoon I ran, it's great to finally have

0:38:15.719 --> 0:38:17.520
<v Speaker 3>you here on Bloomberg Technology.

0:38:17.560 --> 0:38:18.520
<v Speaker 5>Thank you for your time.

0:38:26.080 --> 0:38:28.719
<v Speaker 2>President Biden announcing six hundred and twelve million dollars in

0:38:28.800 --> 0:38:32.480
<v Speaker 2>recovery aid for areas stricken by hurricanes Milton and Helene

0:38:32.840 --> 0:38:35.920
<v Speaker 2>as he surveyed the aftermath of Milton and Florida. Biden

0:38:35.960 --> 0:38:38.160
<v Speaker 2>said last week that the damage from Milton alone could

0:38:38.200 --> 0:38:41.680
<v Speaker 2>be about fifty billion dollars based on early assessments. Let's

0:38:41.680 --> 0:38:44.160
<v Speaker 2>talk about access to aid and how technology might be

0:38:44.200 --> 0:38:47.800
<v Speaker 2>able to help here too. FTW Ventures founder and general

0:38:47.800 --> 0:38:50.840
<v Speaker 2>partner brand Frank has joining us, and look, you are

0:38:50.920 --> 0:38:53.799
<v Speaker 2>all about food security. You're all about food safety and

0:38:53.800 --> 0:38:57.200
<v Speaker 2>innovation around that. One innovation is needed in these moments.

0:38:58.680 --> 0:39:01.759
<v Speaker 19>FTW Ventures were early stage venture fund focused on a

0:39:01.760 --> 0:39:05.360
<v Speaker 19>sustainable food system. We believe technology provides the unlocks like

0:39:05.400 --> 0:39:10.160
<v Speaker 19>it has for many other industries, to create safety, security access,

0:39:10.520 --> 0:39:11.840
<v Speaker 19>optimal nutrition.

0:39:12.000 --> 0:39:13.160
<v Speaker 11>And the outcomes.

0:39:13.160 --> 0:39:15.160
<v Speaker 19>We all want to live a healthy and happy life,

0:39:15.320 --> 0:39:17.399
<v Speaker 19>especially in these times of need when we have war

0:39:17.480 --> 0:39:21.400
<v Speaker 19>and disasters that are taking a toll on our food system.

0:39:21.560 --> 0:39:23.640
<v Speaker 3>Brian, are we talking about hardware or are we talking

0:39:23.640 --> 0:39:24.400
<v Speaker 3>about software?

0:39:25.560 --> 0:39:26.640
<v Speaker 11>We're talking about all of it.

0:39:26.920 --> 0:39:30.840
<v Speaker 19>The reality is technology, from biotechnology to hardware and automation

0:39:31.239 --> 0:39:32.280
<v Speaker 19>to AI and mL.

0:39:32.600 --> 0:39:34.719
<v Speaker 11>All of these technologies that have been pioneered for.

0:39:34.760 --> 0:39:37.800
<v Speaker 19>General purpose and for other industries like the automotive industry

0:39:38.000 --> 0:39:40.880
<v Speaker 19>or energy generation can now be applied directly within the

0:39:40.880 --> 0:39:44.080
<v Speaker 19>food system. And so we're talking about replacing plastics with

0:39:44.120 --> 0:39:47.399
<v Speaker 19>sustainable materials. We're talking about biotechnology to grow our next

0:39:47.400 --> 0:39:50.440
<v Speaker 19>generation food. We're talking about AI and mL to speed

0:39:50.480 --> 0:39:53.480
<v Speaker 19>and optimize the supply chain in which food can reach people.

0:39:53.719 --> 0:39:55.960
<v Speaker 19>So it's any and all technologies that can be applied

0:39:56.000 --> 0:39:58.000
<v Speaker 19>directly within the food and agricultural sectors.

0:39:58.560 --> 0:40:01.799
<v Speaker 2>What sort of ey of check you having to be

0:40:01.840 --> 0:40:04.520
<v Speaker 2>writing at the moment, How facing competitive is it in

0:40:04.520 --> 0:40:05.279
<v Speaker 2>this space or not?

0:40:06.640 --> 0:40:09.040
<v Speaker 19>Yeah, it's the venture industry, and as the whole has

0:40:09.080 --> 0:40:12.120
<v Speaker 19>taken a turn in the recent year, we've seen the

0:40:12.200 --> 0:40:16.040
<v Speaker 19>amount of capital deployed down and the valuation of companies

0:40:16.040 --> 0:40:16.680
<v Speaker 19>coming down.

0:40:16.480 --> 0:40:19.160
<v Speaker 11>Slightly as well. However, we're still writing.

0:40:18.880 --> 0:40:21.200
<v Speaker 19>Significant checks of two hundred and fifty thousand dollars to

0:40:21.239 --> 0:40:24.520
<v Speaker 19>a million dollars into early stage startups that are really

0:40:24.600 --> 0:40:26.880
<v Speaker 19>trying to innovate. They're bringing the first science out of

0:40:26.960 --> 0:40:29.239
<v Speaker 19>loud where they're bringing their first technology out of their

0:40:29.239 --> 0:40:32.040
<v Speaker 19>offices to apply it to the food and agricultural sectors.

0:40:32.880 --> 0:40:35.640
<v Speaker 3>Brian, is this US centric or it's happening around the world.

0:40:36.640 --> 0:40:37.720
<v Speaker 11>It's happening around the world.

0:40:38.200 --> 0:40:40.640
<v Speaker 19>We had FTW focus on the North America market, but

0:40:40.719 --> 0:40:43.680
<v Speaker 19>we believe technology and innovation in North America should be

0:40:43.719 --> 0:40:45.720
<v Speaker 19>brought to all corners of the world. So we're working

0:40:45.760 --> 0:40:49.640
<v Speaker 19>with regions like Singapore and Southeast Asia to really bring

0:40:49.640 --> 0:40:53.520
<v Speaker 19>food security and safety to those members of the community

0:40:53.560 --> 0:40:57.239
<v Speaker 19>as well. We're also I'm also personally a advisor to

0:40:57.280 --> 0:41:00.080
<v Speaker 19>the World Food Programs Accelerator, which helps in places of

0:41:00.120 --> 0:41:03.560
<v Speaker 19>Sub Saharan Africa and Latin America with food access, security

0:41:03.600 --> 0:41:04.520
<v Speaker 19>and safety as well.

0:41:04.640 --> 0:41:05.799
<v Speaker 11>And so it's happening.

0:41:05.440 --> 0:41:07.919
<v Speaker 19>Everywhere and we're just trying to bring the best technologies

0:41:08.280 --> 0:41:10.719
<v Speaker 19>played up level this industry. It needs to see ten

0:41:10.760 --> 0:41:13.600
<v Speaker 19>billion people on the planet by twenty fifty Ran.

0:41:13.520 --> 0:41:17.800
<v Speaker 2>Frank, thank you for joining us. FTW Benure's general partner there. Meanwhile,

0:41:18.520 --> 0:41:21.399
<v Speaker 2>for this edition of Bloomberg Technology, we still have all

0:41:21.400 --> 0:41:23.360
<v Speaker 2>eyes on those record highs for Invidia.

0:41:24.000 --> 0:41:26.200
<v Speaker 3>Yeah, a reminder if you're just joining us, keep an

0:41:26.200 --> 0:41:28.800
<v Speaker 3>eye on Nvidia. There may be a fresh record plenty

0:41:28.840 --> 0:41:30.919
<v Speaker 3>to recap on the podcast. You know where to find

0:41:30.920 --> 0:41:34.319
<v Speaker 3>it online on those platforms and on the Bloomberg platforms.

0:41:34.520 --> 0:41:36.719
<v Speaker 3>Shout out my friends and the team in New York City,

0:41:36.800 --> 0:41:38.720
<v Speaker 3>the big team out here in San Francisco.

0:41:39.440 --> 0:41:40.759
<v Speaker 5>One day down, four to go.

0:41:41.000 --> 0:41:47.600
<v Speaker 3>This is Bloomberg Technology.