WEBVTT - Daybreak Weekend: US CPI, London Tech, China Eco Data

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

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<v Speaker 2>This is Bloomberg Daybreak Weekend, our global look at the

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<v Speaker 2>top stories in the coming week from our Daybreak anchors

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<v Speaker 2>all around the world. Straight Ahead on the program, we

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<v Speaker 2>looked at some key inflation data in the US and

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<v Speaker 2>how they could affect FED policy. I'm Nathan Hager in Washington.

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<v Speaker 3>I'm Carolyn Hepke Harid London, where we're getting ready for

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<v Speaker 3>the buzz of London Tech Week.

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<v Speaker 4>I'm Doug Chrisner looking at how higher energy prices will

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<v Speaker 4>impact Chinese inflation.

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<v Speaker 1>That's all straight ahead on Bloomberg Daybreak Weekend on Bloomberg

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<v Speaker 1>eleven three YEO New York, Bloomberg ninety nine to one, Washington, DC,

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<v Speaker 1>Bloomberg ninety two nine, Boston, DAB Digital Radio, London, Sirius

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<v Speaker 1>XM one twenty one, and around the world on Bloomberg Radio,

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<v Speaker 1>dot Com and the Bloomberg Business App.

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<v Speaker 2>Good day to you. I'm Nathan Hager. We begin today's

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<v Speaker 2>program with some key economic data in the US, with

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<v Speaker 2>a big focus on inflation. The May Consumer Price index

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<v Speaker 2>comes out Wednesday, followed by the index for producers the

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<v Speaker 2>following day, and for more on what to expect We're

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<v Speaker 2>joined by Edward Harrison, senior strategist at Bloomberg News and

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<v Speaker 2>author of the Everything Risk newsletter. Always great to speak

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<v Speaker 2>with you, Ed, And I think it's no secret that

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<v Speaker 2>just about everything is more expensive these days. So what

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<v Speaker 2>are you expecting to stand out when it comes to

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<v Speaker 2>the data this week.

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<v Speaker 5>Hey, Nathan, I'm expecting to see the numbers be relatively

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<v Speaker 5>elevated across the board PPI more than CPI. And what

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<v Speaker 5>we're looking for is we're looking for anything that's demonstray

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<v Speaker 5>below three percent on any of the figures that we see,

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<v Speaker 5>because the lowest expected number is two point nine percent

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<v Speaker 5>for core CPI. If we can get something in the

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<v Speaker 5>order of year and year increases more two point six

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<v Speaker 5>two point seven, that would be a very positive signal

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<v Speaker 5>for the Federal Reserve, which is meeting later in the month.

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<v Speaker 2>Why are you expecting producer prices to be higher this

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<v Speaker 2>time around, Well.

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<v Speaker 5>Just because of expectations. In terms of the Bloomberg average expectations,

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<v Speaker 5>the average economist expectations for final demand is six point

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<v Speaker 5>four percent for the month of May, and we also

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<v Speaker 5>have five point four percent expected if you take out

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<v Speaker 5>food and energy and those numbers are higher than you know,

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<v Speaker 5>a four point two percent number that's expected for CPI.

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<v Speaker 2>What are you expecting that it's going to be driving

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<v Speaker 2>all this? Of course, you know, you drive by a

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<v Speaker 2>gas station these days and prices are still much higher

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<v Speaker 2>than many of us would like to be spending. Is

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<v Speaker 2>that really what's continuing to drive the inflation picture right now?

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<v Speaker 3>No?

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<v Speaker 5>And you know, so that's why I think that the

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<v Speaker 5>number that I'm looking for in particular is the core

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<v Speaker 5>number for a CPI, that number which is at currently

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<v Speaker 5>it's at two point eight percent, it's expected to go

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<v Speaker 5>up to two point nine percent. That's the number that says,

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<v Speaker 5>here's what the economy looks like if you take out

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<v Speaker 5>these vital food and energy items over the last year,

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<v Speaker 5>here's the rise that we've seen. And if that number

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<v Speaker 5>is decent, you know, moving more towards the FEDS two

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<v Speaker 5>percent target, it changes the whole picture. Because last week

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<v Speaker 5>on Friday, what we saw is we saw a job's

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<v Speaker 5>number that was very large. If you look at the

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<v Speaker 5>last three months of job gains, it's the best that

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<v Speaker 5>we've seen since the beginning of twenty twenty four. And

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<v Speaker 5>so the market priced in a rate hike is soon

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<v Speaker 5>as the end of this year. On the back of that,

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<v Speaker 5>anything that we can see in terms of inflation that

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<v Speaker 5>is more towards two percent would therefore dial back those

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<v Speaker 5>expectations and cause yields to go down.

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<v Speaker 1>Yeah.

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<v Speaker 2>Coming off the back of those jobs numbers, we actually

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<v Speaker 2>spoke with White House National Economic Council Director Kevin Hasseid.

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<v Speaker 2>He was saying that the FED should be able to

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<v Speaker 2>look past an oil driven supply shock. Can it?

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<v Speaker 5>No, it can't, because those numbers are the best that

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<v Speaker 5>we've seen for the jobs in almost a three years

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<v Speaker 5>or two and a half years, i should say. And

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<v Speaker 5>the reality is is that with what we're seeing in

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<v Speaker 5>the Gulf, in addition to core numbers that are that

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<v Speaker 5>have reaccelerated. If you looked at PC, which is the

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<v Speaker 5>Fed's preferred gauge, we have bottomed fourteen months ago in

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<v Speaker 5>April twenty twenty five two point six percent. The most

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<v Speaker 5>recent reading was three point three percent, So we've seen

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<v Speaker 5>an acceleration in the core. This is taking out food

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<v Speaker 5>and energy. So there's no way that the FED can

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<v Speaker 5>look over that because we're looking at a trend that's

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<v Speaker 5>been going on for more than a year. And we've

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<v Speaker 5>seen an acceleration in the rate of inflation.

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<v Speaker 2>So what do you see potentially snapping that trend? Is

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<v Speaker 2>there anything that the FED can do at this point?

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<v Speaker 5>No, the Fed can just sit and wait. And the

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<v Speaker 5>reality again is that the Gulf only adds more problems there.

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<v Speaker 5>The interesting bit is is that, you know, when this

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<v Speaker 5>war began in the Middle East, people were expecting it

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<v Speaker 5>to have a very negative impact on consumer spending. But

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<v Speaker 5>it hasn't had a negative impact. It hasn't had a

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<v Speaker 5>negative impact on a job formation. So you know, the

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<v Speaker 5>steady state of the United States economy is very high,

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<v Speaker 5>and that means that the ability of the FED to

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<v Speaker 5>try to counteract the inflationary impulses is much greater, which

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<v Speaker 5>means that we should expect the FED to hike before

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<v Speaker 5>we expect them to lower rates.

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<v Speaker 2>All right, appreciate this d as always. That's Bloomberg News

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<v Speaker 2>Senior strategist Edward Harrison definitely check out adds the Everything

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<v Speaker 2>Risk newsletter. You can find it at Bloomberg dot com,

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<v Speaker 2>slash newsletters or by typing ni every Risk Go on

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<v Speaker 2>the Bloomberg terminal. Let's take a look now at some

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<v Speaker 2>stocks making news in the week Ahead. I'm Nathan Hager,

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<v Speaker 2>joined by Bloomberg Cross Asset reporter of Adana Hirich. But Dana,

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<v Speaker 2>we've got more tech earnings to look forward to this week,

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<v Speaker 2>including Oracle after the close. Of course, this has been

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<v Speaker 2>a company that's been a pretty big beneficiary of the

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<v Speaker 2>AI buildout. So should we be looking for a blowout

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<v Speaker 2>from Oracle?

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<v Speaker 6>First?

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<v Speaker 7>I want to say that every week we're looking forward

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<v Speaker 7>to some sort of tech earnings, right, so.

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<v Speaker 2>It seems like it.

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<v Speaker 7>Yeah, every week there's something of interest happening. So for Oracle,

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<v Speaker 7>that's ticker oh RCL on Wednesday, June tenth. The company

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<v Speaker 7>was once best known for its namesake database software, but

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<v Speaker 7>it's really found some success in providing the type of

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<v Speaker 7>chips filled data centers and other equipment that's necessary for

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<v Speaker 7>training and deploying AI models. And the reason I mentioned

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<v Speaker 7>that is just so that we get a sense of

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<v Speaker 7>what kind of read through it's giving us on a

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<v Speaker 7>specific sector of the economy. Shares of Oracle are up

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<v Speaker 7>some eighteen percent roughly eighteen percent year to date. Its

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<v Speaker 7>last quarterly report was very strong in terms of what

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<v Speaker 7>analysts had been expecting and what the company ended up

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<v Speaker 7>delivering Its last report was in March, and shares actually

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<v Speaker 7>soared after it posted results. It said that it's closely

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<v Speaker 7>watched infrastructure business had jumped eighty four percent to four

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<v Speaker 7>point nine billion dollars. The company also at the time

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<v Speaker 7>said that revenue reach ninety billion in the fiscal year

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<v Speaker 7>beginning in June. Also at the time, it handily beat

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<v Speaker 7>analyst projections on a number of other measures. So the

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<v Speaker 7>takeaway was that we were sort of seeing we were

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<v Speaker 7>getting this through line on AI spending. It gave investors

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<v Speaker 7>a really good look at how demand for AI centers

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<v Speaker 7>was going. There had been in the past some concern

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<v Speaker 7>that maybe that a specific corner of the market was

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<v Speaker 7>maybe slowing down, but then Oracle gave us those results.

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<v Speaker 7>Looking ahead, of course, we don't exactly know what the

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<v Speaker 7>company is going to be telling us, but we do

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<v Speaker 7>have some analyst projections, and we do have a report

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<v Speaker 7>from Bloomberg Intelligence where the analysts there say oracles physical

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<v Speaker 7>four qre results will likely reflect another quarter of robust

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<v Speaker 7>AI infrastructure demand.

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<v Speaker 2>Also this week, after the close on Thursday, we're going

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<v Speaker 2>to hear from Adobe. Now, you got to think this

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<v Speaker 2>company's got a lot to show for with all the

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<v Speaker 2>fears around SaaS apocalypse or whatever we're calling it now.

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<v Speaker 7>Yeah, exactly. And I love when a company can tell

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<v Speaker 7>us a specific story, you know, one of especially with

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<v Speaker 7>like Bellweather companies that can tell us something that's happening

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<v Speaker 7>within a certain sector of the economy or the market,

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<v Speaker 7>like we were just saying with Oracle. So for Adobe

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<v Speaker 7>ticker ADB, reporting on June eleventh, after the market close,

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<v Speaker 7>shares are not doing so great this year. They're down

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<v Speaker 7>some twenty five percent so far this year. When we

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<v Speaker 7>think of Adobe, we think of its software, it's creative tools,

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<v Speaker 7>it's digital marketing offerings, and also of course PDFs, which

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<v Speaker 7>I can never figure out how to edit or save

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<v Speaker 7>or print seriously, But a lot of Adobe's revenue is

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<v Speaker 7>generated via those subscriptions. Analysts will be paying attention to that.

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<v Speaker 7>But Adobe actually has a very interesting theme and the

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<v Speaker 7>story going on right now, which is that there are

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<v Speaker 7>talks about who it's next CEO will be. Bloomberg just

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<v Speaker 7>reported that the company is eyeing to internal leaders for

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<v Speaker 7>its quest for a new chief executive officer, and Adobe

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<v Speaker 7>has hired a well known search firm to look at

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<v Speaker 7>some external candidates who could be suited to running the

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<v Speaker 7>company in our ai era. And so there are two

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<v Speaker 7>contenders of two of its main business units who are

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<v Speaker 7>sort of like the leading in house candidates, and then

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<v Speaker 7>you know whoever else that they're looking at from the outside.

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<v Speaker 7>So analysts really are thinking about, you know what, will

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<v Speaker 7>we get some clarity around the CEO transition. It's sure

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<v Speaker 7>to be a key focus on the earnings call yea.

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<v Speaker 2>So maybe more than just numbers in this sorting.

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<v Speaker 7>St exactly exactly. It might even supersede some of the

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<v Speaker 7>financial metrics themselves, which is really interesting.

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<v Speaker 2>Yeah, it certainly is not just tech. Later on this

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<v Speaker 2>week as well, we're going to hear from Lenar reporting

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<v Speaker 2>their earnings. It's been pretty tough for the homebuilders in

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<v Speaker 2>this rate and price environment.

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<v Speaker 7>Fildana exactly another great example of a company that's giving

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<v Speaker 7>us a look at, in this case the housing market.

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<v Speaker 7>The home building market ticker LN shares are also lower

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<v Speaker 7>so far this year. The company is reporting after the

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<v Speaker 7>close on Thursday, June eleventh. This is one of the

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<v Speaker 7>largest US homebuilders by revenue, and again another great read

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<v Speaker 7>on home builder sentiments. So just in terms of some

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<v Speaker 7>of the data that we've seen for new home sales.

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<v Speaker 7>For instance, in April they had fallen month over month

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<v Speaker 7>some six percent to around six hundred and twenty two thousand.

0:11:57.559 --> 0:12:01.520
<v Speaker 7>US homebuilder sentiment had rebound London in May, but in

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<v Speaker 7>general it sort of remains pretty low, given affordability concerns

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<v Speaker 7>weighing on a lot of consumers and also weighing on

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<v Speaker 7>the spring selling season, and so it's important to keep

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<v Speaker 7>those things in mind in terms of what the housing

0:12:18.840 --> 0:12:21.720
<v Speaker 7>market looks like and whether or not people think we're

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<v Speaker 7>going to potentially continue to see a lackluster housing market persists,

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<v Speaker 7>you know, in future quarters.

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<v Speaker 2>Yeah, so we're going to learn more about the AI

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<v Speaker 2>build out and the housing build out this week. Thank you, Vildona.

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<v Speaker 2>That's Vildona Hirich, Cross asset reporter for Bloomberg News, and

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<v Speaker 2>coming up on Bloomberg day Break weekend, we'll discuss what

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<v Speaker 2>to expect from London's tech week. I'm Nathan Hager, and

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<v Speaker 2>this is Bloomberg. This is Bloomberg day Break Weekend, our

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<v Speaker 2>global look ahead at the top stories for invests in

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<v Speaker 2>the coming week. I'm Nathan Hager in Washington. Up later

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<v Speaker 2>in the program, we'll look to some key inflation data

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<v Speaker 2>in China. But first London Tech Week starts Monday. Executives

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<v Speaker 2>from AI labs like Anthropic Perplexity and Open Ai are

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<v Speaker 2>headed to Britain, which, after the US and China, sees

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<v Speaker 2>the highest AI investment globally. Let's get more from Bloomberg

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<v Speaker 2>day Break Europe banker Caroline Hepger in.

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<v Speaker 3>London, Nathan Summer conference season has arrived in London. CEOs,

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<v Speaker 3>politicians and innovators are rubbing shoulders the likes of south

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<v Speaker 3>By Southwest Founders Forum and London Tech Week, but the

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<v Speaker 3>regular gatherings mask a moment of deep uncertainty about the future.

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<v Speaker 3>Artificial intelligence promises to reshape the business world, but for

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<v Speaker 3>UBS's chief economists to ar captain, the new technology isn't

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<v Speaker 3>yet even close to delivering on its promises.

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<v Speaker 8>I think there are certainly a lot of corpors benefiting

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<v Speaker 8>from this spending boom and top twenty percent spending, but

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<v Speaker 8>there's also I think a very large part of the

0:14:00.440 --> 0:14:03.240
<v Speaker 8>population and businesses that is not benefiting from that, and

0:14:03.320 --> 0:14:05.720
<v Speaker 8>so I think we're in this sort of still relatively

0:14:05.760 --> 0:14:06.960
<v Speaker 8>fragile equilibrium.

0:14:07.040 --> 0:14:10.880
<v Speaker 3>Okay, you mentioned productivity gains. Where are you seeing them

0:14:10.960 --> 0:14:11.960
<v Speaker 3>in Europe from AI.

0:14:12.559 --> 0:14:15.560
<v Speaker 8>Oh I'm not seeing here anyway yet, so I think

0:14:15.559 --> 0:14:17.440
<v Speaker 8>it's way too early, right, So there's a we're in

0:14:17.480 --> 0:14:20.440
<v Speaker 8>the Capex phase what I call the figuring it out phase, right,

0:14:20.480 --> 0:14:25.320
<v Speaker 8>So we are diffusing AI into organizations, and the implementation

0:14:25.400 --> 0:14:27.920
<v Speaker 8>model is to go to people like me, give them

0:14:27.960 --> 0:14:29.880
<v Speaker 8>some AI programs and go figure it out. Right, that's

0:14:29.880 --> 0:14:31.960
<v Speaker 8>not a good implementation model. And if you look at

0:14:31.960 --> 0:14:35.400
<v Speaker 8>the implementation rate, so we do an enterprise adoption survey,

0:14:35.480 --> 0:14:38.000
<v Speaker 8>it's still very very low, less than twenty percent of

0:14:38.040 --> 0:14:40.720
<v Speaker 8>all the firms claim to be implementing at skill. So

0:14:40.760 --> 0:14:43.400
<v Speaker 8>it just cannot be the case that anything is happening

0:14:43.480 --> 0:14:45.600
<v Speaker 8>yet because no one's changed hiring behavior and no one's

0:14:45.600 --> 0:14:48.200
<v Speaker 8>really figured it out yet. Now, the reason it shows

0:14:48.240 --> 0:14:50.160
<v Speaker 8>up in the US in productivity data is because if

0:14:50.200 --> 0:14:52.720
<v Speaker 8>you create a lot of output with capex, you don't

0:14:52.760 --> 0:14:55.800
<v Speaker 8>hire anybody. It looks like per employee you're generating more output.

0:14:55.800 --> 0:14:58.720
<v Speaker 8>But that's not AI productivity the way I think about it, right,

0:14:58.720 --> 0:15:01.520
<v Speaker 8>that's just a shift from producing with libra to producing

0:15:01.560 --> 0:15:03.520
<v Speaker 8>with capital. In Europe, of course, you don't even have that.

0:15:03.720 --> 0:15:06.680
<v Speaker 3>AAR captain there speaking to me and James Wilcock on

0:15:06.720 --> 0:15:11.480
<v Speaker 3>Bloomberg Radio for Britain. Add to that, a somewhat more

0:15:11.560 --> 0:15:15.200
<v Speaker 3>frosty relationship with the US may be growing wariness of

0:15:15.240 --> 0:15:18.680
<v Speaker 3>Silicon Valley and a ship of state which seems to

0:15:18.800 --> 0:15:22.320
<v Speaker 3>lack a rudder. So does Britain's pitch to be an

0:15:22.360 --> 0:15:26.560
<v Speaker 3>AI leader increasingly look a little thin. Bloomberg TV anchor

0:15:26.680 --> 0:15:29.520
<v Speaker 3>Tom McKenzie joins me, Now you get the lucky job

0:15:29.520 --> 0:15:31.640
<v Speaker 3>of going down to London Tech Week to take the

0:15:31.680 --> 0:15:35.240
<v Speaker 3>temperature rub shoulders with all of these big CEOs, what

0:15:35.360 --> 0:15:36.840
<v Speaker 3>are you trying to find out?

0:15:37.440 --> 0:15:39.960
<v Speaker 9>Look? I think this is an incredible moment obviously for

0:15:39.960 --> 0:15:41.800
<v Speaker 9>the world of technology when we think about what's happening

0:15:41.840 --> 0:15:44.840
<v Speaker 9>in the US with the upcoming listings and IPOs of

0:15:44.840 --> 0:15:48.760
<v Speaker 9>SpaceX and likely of course Anthropic and Open AII as well.

0:15:48.840 --> 0:15:52.280
<v Speaker 9>So that intense focus on the innovation and the buildout

0:15:52.280 --> 0:15:54.080
<v Speaker 9>of these companies. And so the key question really is

0:15:54.120 --> 0:15:56.080
<v Speaker 9>where does the UK play in all of this? And

0:15:56.120 --> 0:15:58.680
<v Speaker 9>this is a really key annual gathering that pulls together

0:15:58.720 --> 0:16:01.920
<v Speaker 9>the great and the good ministers as well senior government

0:16:01.960 --> 0:16:05.400
<v Speaker 9>figures with leading CEOs across the UK tech ecosystem. So

0:16:05.760 --> 0:16:08.400
<v Speaker 9>my key questions and what I'm really trying to find

0:16:08.440 --> 0:16:11.600
<v Speaker 9>out is where does the UK play in the AI story?

0:16:11.840 --> 0:16:14.840
<v Speaker 9>Do we have some advantages that other nations don't, What

0:16:14.920 --> 0:16:16.880
<v Speaker 9>kind of companies do we building, what kind of support

0:16:16.960 --> 0:16:19.400
<v Speaker 9>is the government giving to those companies? And can this

0:16:19.520 --> 0:16:21.560
<v Speaker 9>be sustainable? Is this something that's going to have a

0:16:21.600 --> 0:16:25.440
<v Speaker 9>broader macroeconomic impact as well? That will really be the

0:16:25.520 --> 0:16:28.840
<v Speaker 9>key focus as I talked to CEOs executives and government

0:16:28.880 --> 0:16:30.000
<v Speaker 9>ministers as well next week.

0:16:30.120 --> 0:16:33.960
<v Speaker 3>Yeah, it comes after the UK government launched this five

0:16:34.040 --> 0:16:38.160
<v Speaker 3>hundred million pounds for AI in the UK that was

0:16:38.200 --> 0:16:42.000
<v Speaker 3>in April. It doesn't sound like very much money, does

0:16:42.040 --> 0:16:45.680
<v Speaker 3>it when you think about the billions in the AI space.

0:16:46.360 --> 0:16:49.440
<v Speaker 3>But it is intent, isn't it. What do you think

0:16:49.480 --> 0:16:52.240
<v Speaker 3>about the UK and whether we can really claim to

0:16:52.320 --> 0:16:54.920
<v Speaker 3>be a tech leader? How much does it show about

0:16:54.960 --> 0:16:58.400
<v Speaker 3>impetus to be in that leadership role in the UK?

0:16:58.520 --> 0:17:00.280
<v Speaker 9>I think there's a couple of metrics that you could

0:17:00.280 --> 0:17:03.360
<v Speaker 9>point to that show that there is a really healthy

0:17:03.440 --> 0:17:06.080
<v Speaker 9>momentum right now in the UK and the UK really

0:17:06.160 --> 0:17:09.720
<v Speaker 9>can claim to be playing a role. Not sure if

0:17:09.720 --> 0:17:12.960
<v Speaker 9>it's leading, but certainly a role, a significant role in

0:17:13.040 --> 0:17:16.399
<v Speaker 9>terms of the build out of AI and innovation. You

0:17:16.480 --> 0:17:18.800
<v Speaker 9>do have that fund from the UK government, the UK

0:17:18.840 --> 0:17:21.200
<v Speaker 9>Sovereign Wealth Fund, which yes, you say, in comparison the

0:17:21.240 --> 0:17:23.240
<v Speaker 9>numbers we see in the US is is minimal. But

0:17:23.280 --> 0:17:25.280
<v Speaker 9>what they would tell you James Wise is the chair

0:17:25.320 --> 0:17:28.280
<v Speaker 9>formerly and also at Balderton which is eventually capital firm.

0:17:28.320 --> 0:17:30.199
<v Speaker 9>What James would say is that look, not only do

0:17:30.200 --> 0:17:32.360
<v Speaker 9>we invest, but we also open the doors to government

0:17:32.359 --> 0:17:34.840
<v Speaker 9>for you. That credential that you get, that stamp of

0:17:34.960 --> 0:17:37.960
<v Speaker 9>UK government approval actually is meaningful. In fact, I was

0:17:37.960 --> 0:17:40.640
<v Speaker 9>speaking to Isomorphic Labs, a drug discovery company that sits

0:17:40.720 --> 0:17:42.760
<v Speaker 9>under alphabet is a unit there, and speaking to their

0:17:43.200 --> 0:17:45.520
<v Speaker 9>president he said it is meaningful. They've also had investment

0:17:46.480 --> 0:17:49.959
<v Speaker 9>from the UK Sovereign Fund, so that is an important

0:17:49.960 --> 0:17:52.640
<v Speaker 9>part we have. You know, three of the top ten

0:17:52.760 --> 0:17:56.120
<v Speaker 9>universities in the world are in the UK, Cambridge, Oxford

0:17:56.320 --> 0:17:59.280
<v Speaker 9>and Imperial. We have that talent, that deep research talent.

0:17:59.320 --> 0:18:02.520
<v Speaker 9>We do have the cap of the City of London,

0:18:02.680 --> 0:18:04.560
<v Speaker 9>and we do have access of course in those connections

0:18:04.880 --> 0:18:07.280
<v Speaker 9>to Europe as well, so on all those fronts there

0:18:07.359 --> 0:18:11.520
<v Speaker 9>is some supportive kind of muscle tissue there. What you're

0:18:11.520 --> 0:18:13.240
<v Speaker 9>also seeing in terms of fun flows. I'll just give

0:18:13.240 --> 0:18:15.320
<v Speaker 9>you a few statistics then that's come out of a

0:18:15.359 --> 0:18:18.120
<v Speaker 9>recent technician report. The UK tech sector has a combined

0:18:18.119 --> 0:18:21.320
<v Speaker 9>market value now of about one point six trillion US dollars,

0:18:21.680 --> 0:18:24.960
<v Speaker 9>and AI's total UK tech market value is in fact

0:18:24.960 --> 0:18:27.159
<v Speaker 9>more than doubled in the last five years. You have

0:18:27.280 --> 0:18:31.760
<v Speaker 9>companies like eleven Labs, like Synthesia, like Wave AI raising

0:18:31.800 --> 0:18:33.800
<v Speaker 9>billions of dollars, and.

0:18:33.800 --> 0:18:39.040
<v Speaker 3>So in terms of adoption and the next steps, how

0:18:39.119 --> 0:18:43.200
<v Speaker 3>far are we seeing the latest advances in AI filtering

0:18:43.320 --> 0:18:47.560
<v Speaker 3>through into how startups are doing business, but also into

0:18:47.600 --> 0:18:52.280
<v Speaker 3>how other businesses are adopting this technology and turning it

0:18:52.359 --> 0:18:54.399
<v Speaker 3>into productivity gains.

0:18:54.760 --> 0:18:58.840
<v Speaker 9>And I think that is a question that remains partly answered.

0:18:59.000 --> 0:19:02.080
<v Speaker 9>And you go around the UK's tech ecosystem and you

0:19:02.080 --> 0:19:06.000
<v Speaker 9>speak to people working in those organizations, they are leaning in.

0:19:06.040 --> 0:19:09.439
<v Speaker 9>They're using these platforms, They're using these AI solutions. No

0:19:09.520 --> 0:19:12.640
<v Speaker 9>doubt you and I are using forms of AI probably

0:19:12.640 --> 0:19:15.879
<v Speaker 9>on a daily basis as well. We maybe as individuals

0:19:15.880 --> 0:19:19.600
<v Speaker 9>be able to point to productivity gains. The harder question

0:19:19.680 --> 0:19:22.560
<v Speaker 9>to answer is at the corporate level, to your point,

0:19:22.600 --> 0:19:25.880
<v Speaker 9>at the enterprise level, are we yet seeing that filtering

0:19:25.880 --> 0:19:28.560
<v Speaker 9>through to earnings to the bottom line. I think the

0:19:28.680 --> 0:19:31.680
<v Speaker 9>jury is still out on that, but it is relatively

0:19:31.720 --> 0:19:35.480
<v Speaker 9>early days in terms of adoption, and smaller companies and

0:19:35.480 --> 0:19:39.120
<v Speaker 9>smaller enterprises may be adopting more quickly. Bigger enterprises, particularly

0:19:39.160 --> 0:19:41.399
<v Speaker 9>those that are regulator heavy regulator for example in the

0:19:41.400 --> 0:19:44.200
<v Speaker 9>financial services space, may take a little longer.

0:19:44.280 --> 0:19:44.520
<v Speaker 6>Though.

0:19:44.640 --> 0:19:47.840
<v Speaker 9>There are examples of banks that are leaning in too

0:19:47.920 --> 0:19:50.720
<v Speaker 9>AI adoption, and we've seen evidence of that in terms

0:19:50.720 --> 0:19:52.879
<v Speaker 9>of their commitments and their spending. So I think we

0:19:52.920 --> 0:19:54.960
<v Speaker 9>still need to see that evidence come through. And that

0:19:55.119 --> 0:19:57.399
<v Speaker 9>is a really key point because that comes down to

0:19:57.560 --> 0:19:59.639
<v Speaker 9>the return on investment. Are we getting our bank for

0:19:59.680 --> 0:20:04.200
<v Speaker 9>our bus As companies spend increasingly large amounts on AI solutions,

0:20:04.200 --> 0:20:07.880
<v Speaker 9>on so called tokens, is that paying off?

0:20:08.040 --> 0:20:08.280
<v Speaker 6>Yeah?

0:20:08.320 --> 0:20:12.119
<v Speaker 3>Absolutely. As sort of thinking about adoption also skills, What

0:20:12.160 --> 0:20:13.919
<v Speaker 3>sort of skills do people need to be able to

0:20:14.040 --> 0:20:16.240
<v Speaker 3>use AI? That's one of the issues that's been brought

0:20:16.320 --> 0:20:18.600
<v Speaker 3>up a lot, hasn't it in the UK? And you're right,

0:20:18.640 --> 0:20:21.480
<v Speaker 3>how much does it cost a company actually to have

0:20:21.720 --> 0:20:25.560
<v Speaker 3>AI tools that all of their workers can use those

0:20:25.600 --> 0:20:30.080
<v Speaker 3>sort of token costs. Look, there's another sort of slightly

0:20:30.640 --> 0:20:33.600
<v Speaker 3>darker issue, which is sort of the uncertainty around the

0:20:33.680 --> 0:20:35.439
<v Speaker 3>labor government. And I mean I was speaking to the

0:20:35.480 --> 0:20:38.120
<v Speaker 3>AI Minister only a few weeks ago about that software

0:20:38.440 --> 0:20:40.679
<v Speaker 3>well funded. I know you speak to a lot of

0:20:41.600 --> 0:20:45.680
<v Speaker 3>players and policy makers. The future of the current Prime

0:20:45.720 --> 0:20:48.960
<v Speaker 3>Minister is very uncertain. Andy Burnham, who seems at the

0:20:48.960 --> 0:20:52.000
<v Speaker 3>moment like the front runner maybe to replace him, sounds

0:20:52.040 --> 0:20:55.639
<v Speaker 3>a bit tough on regulation in the AI industry, in

0:20:55.680 --> 0:21:00.000
<v Speaker 3>the tech industry. Is that going to seep into issue

0:21:00.160 --> 0:21:04.240
<v Speaker 3>use if there's a kind of tougher view around technology

0:21:04.320 --> 0:21:04.880
<v Speaker 3>in Britain.

0:21:04.960 --> 0:21:07.119
<v Speaker 9>I think that is an important question. Clearly, it's a

0:21:07.240 --> 0:21:12.480
<v Speaker 9>question that we're putting to company executives around political uncertainty

0:21:12.480 --> 0:21:15.120
<v Speaker 9>in the UK and what that means for their investment

0:21:15.200 --> 0:21:17.040
<v Speaker 9>plans and their hiring plans. So I think that's a

0:21:17.119 --> 0:21:20.120
<v Speaker 9>valid question for those working and operating in the tech

0:21:20.160 --> 0:21:24.159
<v Speaker 9>ecosystem as well. I think it's fair to say that

0:21:24.240 --> 0:21:28.560
<v Speaker 9>the AI Minister kenesian Arian is pretty well received within

0:21:28.920 --> 0:21:35.119
<v Speaker 9>the tech ecosystem. I hear pretty solid responses off record

0:21:35.119 --> 0:21:39.000
<v Speaker 9>and on record to what that government minister is doing

0:21:39.200 --> 0:21:45.040
<v Speaker 9>Kanishka alongside the AI Sovereign Fund, and that is something

0:21:45.080 --> 0:21:48.720
<v Speaker 9>that clearly AI leaders and entrepreneurs in the UK. They

0:21:48.720 --> 0:21:51.359
<v Speaker 9>want to see that kind of commitment continuing, and there

0:21:51.400 --> 0:21:54.200
<v Speaker 9>has been some evidence that the UK is and the

0:21:54.280 --> 0:21:55.920
<v Speaker 9>UK government is trying to be on the front foot

0:21:56.040 --> 0:22:00.560
<v Speaker 9>in terms of aligning the regulation with innovation with adoption.

0:22:00.600 --> 0:22:02.080
<v Speaker 9>You've got one example of coming up at the end

0:22:02.080 --> 0:22:04.840
<v Speaker 9>of this year, which is Weimo is very likely to

0:22:04.960 --> 0:22:07.719
<v Speaker 9>be testing and actually rolling out its cars for the public.

0:22:07.720 --> 0:22:09.560
<v Speaker 9>They're testing now rolling out its cars for the public

0:22:09.880 --> 0:22:11.959
<v Speaker 9>by the end of this year. I speaking to them.

0:22:12.080 --> 0:22:15.560
<v Speaker 9>That's still currently the plan, and that is because the

0:22:15.680 --> 0:22:18.639
<v Speaker 9>UK has put in place a regulatory framework that allows

0:22:18.640 --> 0:22:20.159
<v Speaker 9>them to do that for the first time out of

0:22:20.200 --> 0:22:23.439
<v Speaker 9>the United States. So that is one example. It's not

0:22:23.480 --> 0:22:25.840
<v Speaker 9>to say that there aren't others who say we need

0:22:25.880 --> 0:22:28.600
<v Speaker 9>to have checks and balances around this technology. Yeah, so

0:22:28.720 --> 0:22:31.200
<v Speaker 9>I think it's an important question. Will that stability or

0:22:31.280 --> 0:22:34.240
<v Speaker 9>question marks about the future government post some kind of

0:22:34.240 --> 0:22:37.480
<v Speaker 9>headwind is something that I will be addressing and bringing

0:22:37.520 --> 0:22:40.160
<v Speaker 9>up with founders and CEOs next week.

0:22:40.240 --> 0:22:42.679
<v Speaker 3>Yeah. It's going to be fascinating, isn't it watching Weimo

0:22:42.800 --> 0:22:45.399
<v Speaker 3>for the first time outside a US city, you know,

0:22:45.480 --> 0:22:48.360
<v Speaker 3>trying to kind of weave their way through the ancient

0:22:48.440 --> 0:22:50.920
<v Speaker 3>streets of London's going to be a big test of

0:22:50.960 --> 0:22:52.760
<v Speaker 3>the company. It's going to be really interesting to see

0:22:52.760 --> 0:22:57.760
<v Speaker 3>how people in the UK react to that. In terms

0:22:57.760 --> 0:23:01.120
<v Speaker 3>of the other major tension, you have to also bring

0:23:01.240 --> 0:23:06.720
<v Speaker 3>up the worries maybe around dependency, around sovereignty. These are

0:23:07.640 --> 0:23:10.639
<v Speaker 3>lots of countries thinking about this, how dependent to be

0:23:10.800 --> 0:23:15.240
<v Speaker 3>on Silicon Valley on big US companies palente I can

0:23:15.240 --> 0:23:19.280
<v Speaker 3>point to as the most recent worry MPs of flag

0:23:19.320 --> 0:23:22.480
<v Speaker 3>that as a worry Palent's involvement, for example, with the NHS,

0:23:22.640 --> 0:23:25.960
<v Speaker 3>the National Health Service. How important are those tensions?

0:23:26.240 --> 0:23:28.600
<v Speaker 9>Well, I think those tensions are real and I think

0:23:28.800 --> 0:23:31.159
<v Speaker 9>one response to that, and we've heard this from some

0:23:31.240 --> 0:23:34.040
<v Speaker 9>would be well, it's fine, we can rip out and

0:23:34.080 --> 0:23:39.040
<v Speaker 9>replace Palenteer with what So we need to have an alternative. Palenteer,

0:23:39.600 --> 0:23:41.760
<v Speaker 9>the argument goes, is the best at what they do,

0:23:41.920 --> 0:23:44.719
<v Speaker 9>and if we want to be able to align all

0:23:44.720 --> 0:23:47.240
<v Speaker 9>the data across the NHS and make things like booking

0:23:47.240 --> 0:23:51.480
<v Speaker 9>appointments and collecting all of that evidence that can help

0:23:51.560 --> 0:23:54.600
<v Speaker 9>in terms of outcomes and have better healthc outcomes, then

0:23:54.640 --> 0:23:57.040
<v Speaker 9>we need this kind of technology. Of course, it is

0:23:57.040 --> 0:24:00.800
<v Speaker 9>a controversial company and hence the scrutiny that is it

0:24:00.880 --> 0:24:03.080
<v Speaker 9>is facing. As yet, we do not have a company

0:24:03.080 --> 0:24:05.399
<v Speaker 9>that can do what Palentteer does. Maybe in the future

0:24:05.440 --> 0:24:08.000
<v Speaker 9>we will, But I think the broader question about sovereignty

0:24:08.080 --> 0:24:10.119
<v Speaker 9>is real. Do we need more data centers? Do we

0:24:10.160 --> 0:24:12.600
<v Speaker 9>need more infrastructure? How much of that needs to be

0:24:12.800 --> 0:24:15.280
<v Speaker 9>on a supply chain that the UK has greater control

0:24:15.400 --> 0:24:19.000
<v Speaker 9>over all We speaking to the likes of Brookfield's head

0:24:19.080 --> 0:24:22.399
<v Speaker 9>of AI infrastructure about that point, we are a long

0:24:22.480 --> 0:24:24.960
<v Speaker 9>way from getting the kind of investment commitments around data

0:24:25.000 --> 0:24:28.119
<v Speaker 9>centers and infrastructure that the US is getting. Can we

0:24:28.240 --> 0:24:31.760
<v Speaker 9>rely on the hyperscalers? Can we and are we relaxed

0:24:31.880 --> 0:24:36.760
<v Speaker 9>about running our systems on ammazaws or on Azure or

0:24:36.800 --> 0:24:40.919
<v Speaker 9>on other parts of the Google Cloud system, or do

0:24:40.960 --> 0:24:43.520
<v Speaker 9>we need to have our own sovereign capabilities. The European

0:24:43.600 --> 0:24:45.639
<v Speaker 9>Union is coming up with their response to that, and

0:24:45.680 --> 0:24:48.439
<v Speaker 9>we're seeing that working through the system right now, so

0:24:48.560 --> 0:24:50.359
<v Speaker 9>that is also a valid question. And then if we

0:24:50.400 --> 0:24:52.640
<v Speaker 9>think about infrastructure, we have to think about energy. Our

0:24:52.760 --> 0:24:54.920
<v Speaker 9>energy costs are about three times that of the United States,

0:24:54.960 --> 0:24:57.480
<v Speaker 9>about two times out of China. Do we have the

0:24:57.480 --> 0:25:00.919
<v Speaker 9>Greek capacity? Are we building the energy that we need

0:25:01.000 --> 0:25:03.080
<v Speaker 9>to support this kind of infrastructure. What is the solution

0:25:03.160 --> 0:25:05.240
<v Speaker 9>on that front. Tony Blair has his views around the

0:25:05.240 --> 0:25:08.600
<v Speaker 9>North Sea oil story. Others will have opposing views, so

0:25:08.640 --> 0:25:10.920
<v Speaker 9>that is also part of the question that the UK

0:25:11.240 --> 0:25:14.200
<v Speaker 9>is going to have to wrestle with. And certainly entrepreneurs

0:25:14.200 --> 0:25:18.200
<v Speaker 9>and executives they want to see cheaper, cleaner, more accessible

0:25:18.280 --> 0:25:21.640
<v Speaker 9>energy and that is a really key part of how

0:25:21.640 --> 0:25:22.600
<v Speaker 9>we position going forward.

0:25:22.840 --> 0:25:24.919
<v Speaker 3>Yeah, it's going to be a very interesting week and

0:25:24.960 --> 0:25:27.240
<v Speaker 3>we look forward to all of your coverage from London

0:25:27.320 --> 0:25:30.800
<v Speaker 3>Tech Week. That is Bloomberg TV anchor Tom McKenzie. Thank you.

0:25:30.960 --> 0:25:33.520
<v Speaker 3>I'm Caroline hepget here in London. You can catch us

0:25:33.520 --> 0:25:36.119
<v Speaker 3>every weekday morning for Bloomberg Daybreak here at beginning at

0:25:36.160 --> 0:25:38.840
<v Speaker 3>six am in London. That's one am on Wall Street.

0:25:39.119 --> 0:25:42.920
<v Speaker 2>Nathan, Thanks Caroline. Then coming up by Bloomberg Daybreak Weekend,

0:25:42.960 --> 0:25:45.639
<v Speaker 2>we'll look ahead to inflation data from the world's second

0:25:45.760 --> 0:26:00.400
<v Speaker 2>largest economy. I'm Nathan Hagger and this is Bloomberg. This

0:26:00.480 --> 0:26:03.280
<v Speaker 2>is Bloomberg Daybreak Weekend, our global look ahead at the

0:26:03.280 --> 0:26:05.960
<v Speaker 2>top stories for investors in the coming week. I'm Nathan

0:26:06.040 --> 0:26:08.520
<v Speaker 2>Haiger in Washington. One of those stories is going to

0:26:08.520 --> 0:26:11.800
<v Speaker 2>be inflation in China. We get the main readings on

0:26:11.880 --> 0:26:14.639
<v Speaker 2>price pressures this week. For a preview, let's get to

0:26:14.680 --> 0:26:17.679
<v Speaker 2>Doug Krisner, host of the Bloomberg Daybreak Asia podcast.

0:26:18.160 --> 0:26:21.280
<v Speaker 4>Thanks Nathan. For years, authorities in China have been battling

0:26:21.280 --> 0:26:24.880
<v Speaker 4>a problem with deflation, and the price declines were showing

0:26:25.000 --> 0:26:27.960
<v Speaker 4>up at both the wholesale and retail levels. But the

0:26:28.080 --> 0:26:30.919
<v Speaker 4>energy shock as a result of the conflict in the

0:26:30.920 --> 0:26:35.040
<v Speaker 4>Middle East has changed the narrative somewhat. The latest reading

0:26:35.080 --> 0:26:39.040
<v Speaker 4>on PPI is likely to show factory gate prices rose

0:26:39.080 --> 0:26:42.080
<v Speaker 4>in the month of May. Even so, consumer prices are

0:26:42.119 --> 0:26:45.720
<v Speaker 4>still struggling to break out of their deflationary trap. For

0:26:45.800 --> 0:26:48.639
<v Speaker 4>a closer look, let's bring in Bloomberg's Alan Wong. Allen

0:26:48.800 --> 0:26:52.360
<v Speaker 4>is team leader for the China Economy and Government team.

0:26:52.440 --> 0:26:55.400
<v Speaker 4>He joins us from our studios in Hong Kong. Thank

0:26:55.400 --> 0:26:58.280
<v Speaker 4>you for being here. I want to begin with looking

0:26:58.359 --> 0:27:02.280
<v Speaker 4>at the PPI story and wondering if the expected pickup

0:27:02.320 --> 0:27:06.480
<v Speaker 4>that we're going to see, perhaps in factory gate prices

0:27:06.640 --> 0:27:10.240
<v Speaker 4>is due to forces beyond higher energy. Is it spilling

0:27:10.280 --> 0:27:11.879
<v Speaker 4>out beyond the energy complex?

0:27:12.720 --> 0:27:15.960
<v Speaker 10>We are seeing limiteds spill over in terms of price hikes,

0:27:16.359 --> 0:27:19.880
<v Speaker 10>which means that even if the producer prices are going up,

0:27:19.960 --> 0:27:23.960
<v Speaker 10>this is not quite the China inflation story just yet.

0:27:24.280 --> 0:27:26.320
<v Speaker 10>But just back through the producer prize a little bit,

0:27:27.080 --> 0:27:30.480
<v Speaker 10>we're seeing forecasts for a three point nine percent jump

0:27:30.760 --> 0:27:33.080
<v Speaker 10>year over year, and that would be the biggest search

0:27:33.119 --> 0:27:36.800
<v Speaker 10>we've seen since July twenty twenty two. So it is

0:27:36.880 --> 0:27:39.520
<v Speaker 10>still very much about the global energy crisis. It's still

0:27:39.600 --> 0:27:42.480
<v Speaker 10>very much about the shockwaves from the conflict in the

0:27:42.480 --> 0:27:46.720
<v Speaker 10>Middle East affecting China's factory flows. And if we look

0:27:46.760 --> 0:27:50.480
<v Speaker 10>at the breakdown in price data from the previous month's release,

0:27:50.560 --> 0:27:53.399
<v Speaker 10>the month of April, we've seen the cost of things

0:27:53.440 --> 0:27:57.680
<v Speaker 10>like crude extraction, petroleum, natural gas, they all shot up,

0:27:58.359 --> 0:28:01.720
<v Speaker 10>but then for out of categories we see mild effect

0:28:02.280 --> 0:28:05.920
<v Speaker 10>in terms of rising prices, and so so far it's

0:28:05.960 --> 0:28:07.280
<v Speaker 10>been pretty much contained.

0:28:07.760 --> 0:28:11.240
<v Speaker 4>So let's look at the consumer level now. And my

0:28:11.359 --> 0:28:14.440
<v Speaker 4>memory is that this is really a story about weak demand.

0:28:14.480 --> 0:28:17.320
<v Speaker 4>Has that changed or is that still very much the

0:28:17.359 --> 0:28:17.920
<v Speaker 4>same case.

0:28:18.359 --> 0:28:21.359
<v Speaker 10>The numbers actually tell the story here pretty well. I

0:28:21.400 --> 0:28:23.320
<v Speaker 10>mentioned that PBI is going to jump three point nine

0:28:23.359 --> 0:28:26.399
<v Speaker 10>percent for CPI for the month of May, it's going

0:28:26.440 --> 0:28:29.480
<v Speaker 10>to be a one point three percent increase, So that's

0:28:29.560 --> 0:28:32.280
<v Speaker 10>just slightly higher than the April figure which was one

0:28:32.280 --> 0:28:36.400
<v Speaker 10>point two percent. So this means that we actually, you know,

0:28:36.760 --> 0:28:39.720
<v Speaker 10>on one hand, you're seeing some healthy inflation compared to

0:28:40.520 --> 0:28:44.959
<v Speaker 10>the previous deflation story after the COVID. One point two

0:28:45.040 --> 0:28:47.640
<v Speaker 10>isn't that much globally speaking, But then it's a much

0:28:48.120 --> 0:28:52.400
<v Speaker 10>higher pace compared to the near zero level in the

0:28:52.440 --> 0:28:56.160
<v Speaker 10>two years after COVID. But then another way to look

0:28:56.200 --> 0:28:59.120
<v Speaker 10>at this is the gap between the rise in PBI

0:28:59.200 --> 0:29:02.320
<v Speaker 10>and CPI. If the gap is large, it just means

0:29:02.360 --> 0:29:06.720
<v Speaker 10>that factories and companies they are stomaching this higher input

0:29:06.720 --> 0:29:10.480
<v Speaker 10>costs and without passing that on to customers. It means

0:29:10.520 --> 0:29:13.200
<v Speaker 10>that to preserve their market shared they rather eat that

0:29:13.320 --> 0:29:16.880
<v Speaker 10>cost themselves. And for those companies, obviously it would be

0:29:17.000 --> 0:29:21.520
<v Speaker 10>terrible for them because they are suffering thinner profit margins.

0:29:22.040 --> 0:29:24.920
<v Speaker 10>But then even if consumers are happy that the price

0:29:25.040 --> 0:29:30.480
<v Speaker 10>tax are only modestly got bigger, their wages might suffer

0:29:30.520 --> 0:29:33.840
<v Speaker 10>too because the companies can't afford to raise prices and

0:29:33.960 --> 0:29:36.280
<v Speaker 10>they might have to, you know, they face pressure in

0:29:36.360 --> 0:29:38.320
<v Speaker 10>terms of how much they can pay their workers. So

0:29:38.360 --> 0:29:41.080
<v Speaker 10>all of these feeds back into the weak consumption story

0:29:41.080 --> 0:29:44.880
<v Speaker 10>in China, where consumers just don't feel secure enough about

0:29:44.880 --> 0:29:46.280
<v Speaker 10>the economic outlook to spend.

0:29:46.680 --> 0:29:49.000
<v Speaker 4>So I'm going to imagine alan that part of the

0:29:49.000 --> 0:29:52.640
<v Speaker 4>weak domestic demand story still traces back to the weakness

0:29:52.800 --> 0:29:54.840
<v Speaker 4>in the housing market. Is that still the case.

0:29:55.520 --> 0:29:57.920
<v Speaker 10>That's still very much the case, But you know, there

0:29:57.920 --> 0:30:01.640
<v Speaker 10>are signs that in some part it's of the Chinese economy,

0:30:02.320 --> 0:30:06.720
<v Speaker 10>housing is seeing some bottom. It's very controversial because you know,

0:30:06.800 --> 0:30:08.160
<v Speaker 10>you don't want to be the one to call the

0:30:08.160 --> 0:30:10.920
<v Speaker 10>bottom in the housing market, but we're seeing more voices

0:30:11.000 --> 0:30:15.680
<v Speaker 10>from among economists who I'm considering that like a slower

0:30:15.680 --> 0:30:18.920
<v Speaker 10>pace of decline in home prices. By some measures, we're

0:30:18.920 --> 0:30:23.760
<v Speaker 10>seeing that new home prices have actually risen months over month.

0:30:24.160 --> 0:30:27.520
<v Speaker 10>But when they will continue is another question because we

0:30:27.560 --> 0:30:29.800
<v Speaker 10>have seen something like that over the last couple of years,

0:30:29.840 --> 0:30:33.800
<v Speaker 10>but there have been false down so nobody is sticking

0:30:33.840 --> 0:30:36.120
<v Speaker 10>their neck out to call bottom just yet. And in

0:30:36.200 --> 0:30:38.680
<v Speaker 10>terms of the weak consumption story, housing is still a

0:30:38.680 --> 0:30:42.840
<v Speaker 10>big factor. But then the uncertainty in terms of geopolitical

0:30:43.240 --> 0:30:47.640
<v Speaker 10>outlook is also weighing on consumers' mind for sure, and

0:30:47.840 --> 0:30:52.080
<v Speaker 10>the fact that higher oil prices, and higher PPI may

0:30:52.880 --> 0:30:55.959
<v Speaker 10>limit how much the PBOC can do in terms of easing.

0:30:56.280 --> 0:31:00.000
<v Speaker 10>Will also mean that policymakers have less room to stimulate

0:31:00.280 --> 0:31:05.560
<v Speaker 10>domestic demand using direct measures. And one important the development

0:31:05.680 --> 0:31:08.800
<v Speaker 10>we've seen in terms of the macro economy, it's just

0:31:08.800 --> 0:31:11.920
<v Speaker 10>how people are paying down their debts more than they borrow.

0:31:12.240 --> 0:31:14.840
<v Speaker 10>So that's just another way to gauge just how weak

0:31:14.880 --> 0:31:15.640
<v Speaker 10>the sentiment is.

0:31:15.920 --> 0:31:18.440
<v Speaker 4>To what extent is the trade story a part of

0:31:18.600 --> 0:31:21.680
<v Speaker 4>the narrative when it comes to inflation, And I'm thinking

0:31:21.720 --> 0:31:25.560
<v Speaker 4>of the tariff story where the US is involved.

0:31:27.040 --> 0:31:30.040
<v Speaker 10>So yes, the US, it's trying to rebuild his tariff wall.

0:31:30.760 --> 0:31:34.840
<v Speaker 10>So even after they, you know, US President An Trump

0:31:35.000 --> 0:31:39.760
<v Speaker 10>met with she and kind of cooled down the tensions

0:31:39.800 --> 0:31:43.080
<v Speaker 10>that the two countries previously faced, and they agreed on

0:31:43.520 --> 0:31:48.880
<v Speaker 10>strategic stability framework that China came up with. So broadly speaking,

0:31:49.160 --> 0:31:53.840
<v Speaker 10>that relationship is looking steady and better than previously. But

0:31:53.880 --> 0:31:58.640
<v Speaker 10>then Trump did try to attempt to raise tariffs on

0:31:58.760 --> 0:32:03.040
<v Speaker 10>China and among a countries again, and China is not

0:32:03.080 --> 0:32:05.480
<v Speaker 10>happy with it, for sure, but it doesn't seem like

0:32:06.880 --> 0:32:10.920
<v Speaker 10>it would threaten the Dayton between the two countries and

0:32:11.160 --> 0:32:14.280
<v Speaker 10>the truth is that China's export to the US have

0:32:14.400 --> 0:32:18.480
<v Speaker 10>fallen by a lot already since the Trump returned to office,

0:32:18.720 --> 0:32:22.520
<v Speaker 10>So any marginal increase in the tariff ray on Chinese

0:32:22.600 --> 0:32:25.880
<v Speaker 10>exports are not going to hurt that part of export

0:32:25.960 --> 0:32:30.400
<v Speaker 10>that much. But then one potential surprise is coming from

0:32:30.440 --> 0:32:37.080
<v Speaker 10>the EU, which has been floating measures to curb China's

0:32:37.120 --> 0:32:44.000
<v Speaker 10>imports and and otherwise address China's over capacity issue. So

0:32:44.080 --> 0:32:47.200
<v Speaker 10>China has protested that in threatened countermeasures. We're seeing a

0:32:47.240 --> 0:32:50.520
<v Speaker 10>new trade war on horizon. That's to be determined, but

0:32:50.840 --> 0:32:53.960
<v Speaker 10>if trade frictions rise between those two economies, that could

0:32:54.000 --> 0:32:56.440
<v Speaker 10>be a source of headwinds for China's economy.

0:32:56.640 --> 0:32:59.280
<v Speaker 4>That's a great point. Alan, thank you so very much

0:32:59.320 --> 0:33:01.920
<v Speaker 4>for helping us look ahead to the Chinese inflation data

0:33:01.960 --> 0:33:05.040
<v Speaker 4>in the week ahead. Bloomberg's Alan Wong Allen is team

0:33:05.120 --> 0:33:08.200
<v Speaker 4>leader for the China Economy and Government team. Joining from

0:33:08.240 --> 0:33:11.880
<v Speaker 4>our studios in Hong Kong, we go to Taiwan next,

0:33:11.920 --> 0:33:14.720
<v Speaker 4>where Computechs took place in the last week. This is

0:33:14.760 --> 0:33:19.000
<v Speaker 4>Asia's largest tech showcase, and the event brought together CEOs

0:33:19.040 --> 0:33:22.360
<v Speaker 4>from the world's leading tech companies to discuss the outlook

0:33:22.400 --> 0:33:26.400
<v Speaker 4>for things like AI robotics and semiconductors, and that's where

0:33:26.440 --> 0:33:29.120
<v Speaker 4>we had the chance to speak with Albert Liu. Albert

0:33:29.160 --> 0:33:32.800
<v Speaker 4>is founder and CEO of AI chip firm Neuron. He

0:33:32.880 --> 0:33:34.600
<v Speaker 4>spoke with Bloomberg Steven Engel.

0:33:34.840 --> 0:33:37.960
<v Speaker 11>It's interesting. I'll just read you designed and manufactured chips

0:33:38.000 --> 0:33:42.200
<v Speaker 11>and hardware and software for EDGAI. So that's more local

0:33:42.240 --> 0:33:45.320
<v Speaker 11>solutions rather than uploading to the cloud. And there's all

0:33:45.480 --> 0:33:48.000
<v Speaker 11>kinds of and downloading from the cloud, so there's all

0:33:48.080 --> 0:33:53.480
<v Speaker 11>kinds of applications for that. But you are promoting NPUs

0:33:53.560 --> 0:33:56.920
<v Speaker 11>neural processing units. How does that compare? What is put

0:33:56.920 --> 0:34:01.200
<v Speaker 11>it into context for US NPUs versus cp USE and GPUs.

0:34:01.600 --> 0:34:04.760
<v Speaker 6>Yeah, I think the technology trend migration from CPU to

0:34:04.960 --> 0:34:09.120
<v Speaker 6>GPU to MP for AI computation. Computation power is a

0:34:09.160 --> 0:34:12.200
<v Speaker 6>really bit like a VHS to DVD to MB three.

0:34:12.360 --> 0:34:14.640
<v Speaker 6>So nb threo is quite tiny, right one tango so

0:34:14.760 --> 0:34:17.880
<v Speaker 6>they can revert BUND to DVD a bunch of vhs.

0:34:18.160 --> 0:34:21.120
<v Speaker 6>So you can sing in this way today using the

0:34:21.360 --> 0:34:26.400
<v Speaker 6>GPU or CPU to power GBD label AI is power hungry.

0:34:26.719 --> 0:34:29.040
<v Speaker 6>Some company even comes seeking to build a nuclear help

0:34:29.080 --> 0:34:31.840
<v Speaker 6>print to support that AI chain, which is kind of

0:34:31.920 --> 0:34:36.120
<v Speaker 6>ridiculous and nonsustainable right. Also the privacy and also operation

0:34:36.280 --> 0:34:40.840
<v Speaker 6>speed quich ai if down to the earth or enable

0:34:41.280 --> 0:34:43.880
<v Speaker 6>the device and the close to diva industry which you

0:34:43.880 --> 0:34:46.000
<v Speaker 6>will remote efficient and also low costs.

0:34:46.160 --> 0:34:48.520
<v Speaker 11>So how does this promote your technology? How does it

0:34:48.560 --> 0:34:51.799
<v Speaker 11>promote an edge AI? How does it promote you know

0:34:51.800 --> 0:34:54.080
<v Speaker 11>what we're seeing in China and around the world as well,

0:34:54.239 --> 0:34:57.000
<v Speaker 11>and that is the open claw movement and agentic AI

0:34:57.200 --> 0:35:00.440
<v Speaker 11>essentially and the creation of agents. And even in China

0:35:00.840 --> 0:35:05.600
<v Speaker 11>you're having one person companies. So you need that privacy local,

0:35:06.400 --> 0:35:09.480
<v Speaker 11>you need solutions local, low latency.

0:35:10.000 --> 0:35:13.560
<v Speaker 6>I think I would say not only local, also privacy,

0:35:13.640 --> 0:35:18.200
<v Speaker 6>but also controllable control. I mean, uh mp, you can

0:35:18.239 --> 0:35:21.000
<v Speaker 6>make it become possible is you can sing this way,

0:35:21.040 --> 0:35:24.480
<v Speaker 6>you can put the GVD label AI into a small

0:35:24.480 --> 0:35:28.480
<v Speaker 6>bux uh. Then the recent open clowd criticize is because

0:35:28.680 --> 0:35:32.359
<v Speaker 6>first they probably will spend the token fee like unexpected

0:35:32.480 --> 0:35:34.960
<v Speaker 6>right one night, you might spend like few hundred dollars.

0:35:35.239 --> 0:35:38.720
<v Speaker 6>And second they probably will leak your combinational information. There's

0:35:38.760 --> 0:35:42.040
<v Speaker 6>a couple of issues happen, like they even leak your

0:35:42.200 --> 0:35:47.240
<v Speaker 6>conversation with your your your your lofer and or even

0:35:47.280 --> 0:35:51.799
<v Speaker 6>your secret key or of your bank account to everywhere.

0:35:52.080 --> 0:35:55.399
<v Speaker 6>So the open claus is really open. Yeah, yeah, yeah,

0:35:55.440 --> 0:35:58.759
<v Speaker 6>open your privacy data everywhere. So if you can bring

0:35:58.800 --> 0:36:02.920
<v Speaker 6>the UH cloud label AI down to the earth, which

0:36:02.960 --> 0:36:05.280
<v Speaker 6>is what they're wrong, provide we are only selling the MPU,

0:36:05.400 --> 0:36:08.600
<v Speaker 6>but we also sell a system like a media doing

0:36:08.640 --> 0:36:11.040
<v Speaker 6>the H one hundred h two hundred there and then

0:36:11.040 --> 0:36:13.920
<v Speaker 6>we put the open crowd in the small box and

0:36:13.960 --> 0:36:17.400
<v Speaker 6>all the token is free and and also your privacy

0:36:17.480 --> 0:36:18.880
<v Speaker 6>data got control in local.

0:36:19.520 --> 0:36:21.400
<v Speaker 11>So where are we in the evolution? Right then you

0:36:21.600 --> 0:36:24.279
<v Speaker 11>talked about this is the age of inference now as

0:36:24.320 --> 0:36:27.400
<v Speaker 11>they still build out. Of course, UH the infrastructure for

0:36:27.560 --> 0:36:30.800
<v Speaker 11>the big data centers and training is happening from the

0:36:30.840 --> 0:36:34.880
<v Speaker 11>large language models. But how does your technology really fuel

0:36:35.120 --> 0:36:37.440
<v Speaker 11>the age and the era of inference?

0:36:37.880 --> 0:36:40.960
<v Speaker 6>I will say AI train first step definitely is the training,

0:36:41.360 --> 0:36:44.759
<v Speaker 6>right Clowd training, So the Clowd training definitely, GVU has

0:36:44.840 --> 0:36:47.880
<v Speaker 6>the greatest advantage because they're cool that Ecosys is so strong.

0:36:48.239 --> 0:36:52.640
<v Speaker 6>But once everyone's training or AI up to a certain

0:36:52.719 --> 0:36:56.040
<v Speaker 6>level become saturated or become more mature, then the second

0:36:56.080 --> 0:36:58.520
<v Speaker 6>one will be the cloud inference. Then the third one

0:36:58.560 --> 0:37:02.040
<v Speaker 6>will be like make them out of smaller and applied

0:37:02.080 --> 0:37:05.520
<v Speaker 6>to everywhere, which would be AHI. So I think cloud

0:37:05.520 --> 0:37:10.000
<v Speaker 6>AI or training AI. The GPU or the hardware is

0:37:10.040 --> 0:37:14.000
<v Speaker 6>super expensive and also power consumption is heavy and also

0:37:14.040 --> 0:37:17.239
<v Speaker 6>command doese emission is huge. Then once you move to

0:37:17.239 --> 0:37:20.840
<v Speaker 6>the inference, using these heavy hardware is kind of luxury.

0:37:21.120 --> 0:37:25.000
<v Speaker 6>So inference AI definitely is the right. Now the reason

0:37:25.080 --> 0:37:31.000
<v Speaker 6>AI s over n media acquire the lp U, right,

0:37:31.160 --> 0:37:34.600
<v Speaker 6>it's also facing the challenge of the inference that GPU

0:37:34.680 --> 0:37:37.200
<v Speaker 6>is two sevensy. Then move to the third one, which

0:37:37.239 --> 0:37:39.719
<v Speaker 6>will be HI. So I will say MP has a

0:37:39.760 --> 0:37:42.960
<v Speaker 6>great adventure in inference and HI. Because we are the

0:37:43.000 --> 0:37:45.439
<v Speaker 6>hardware dedications design for AI purpose.

0:37:45.160 --> 0:37:48.520
<v Speaker 11>How are you specifically and where are you impacted by

0:37:49.080 --> 0:37:52.840
<v Speaker 11>key components? The shortage and key components and memory is

0:37:52.880 --> 0:37:55.080
<v Speaker 11>the most acute for a lot of the big data centers.

0:37:55.080 --> 0:37:58.239
<v Speaker 11>But what's the most important and most acute shortage of

0:37:58.280 --> 0:37:59.520
<v Speaker 11>components for you?

0:37:58.880 --> 0:38:02.000
<v Speaker 6>You can see like what I said, MP street dongo

0:38:02.040 --> 0:38:04.280
<v Speaker 6>there taking on us Joe Mahy different as a TVD

0:38:04.400 --> 0:38:07.640
<v Speaker 6>and also VHS right the same thing MPU oxnicture is

0:38:07.719 --> 0:38:11.839
<v Speaker 6>much smaller and much low costs versus the GPU or

0:38:11.880 --> 0:38:14.839
<v Speaker 6>CPU GPU is any human history for Morning Street tak

0:38:14.920 --> 0:38:18.160
<v Speaker 6>and that was original designed for gaming or graphic for purse, right,

0:38:18.320 --> 0:38:22.960
<v Speaker 6>so they need they require HPN HIPing wish memory. Yeah so,

0:38:23.200 --> 0:38:25.399
<v Speaker 6>but MPU always is TV off.

0:38:25.480 --> 0:38:28.600
<v Speaker 4>That is Albert lu, founder and CEO of the AI

0:38:28.680 --> 0:38:32.279
<v Speaker 4>chip firm Neuron, speaking with Bloomberg Stephen Engel on the

0:38:32.360 --> 0:38:35.920
<v Speaker 4>sidelines of computext. I'm Doug Prisoner. You can catch us

0:38:35.920 --> 0:38:39.680
<v Speaker 4>weekdays for the Daybreak Asia podcast. It's available wherever you

0:38:39.719 --> 0:38:40.600
<v Speaker 4>get your podcast.

0:38:41.040 --> 0:38:43.759
<v Speaker 2>Nathan, Thanks Doug, And that does it for this edition

0:38:43.800 --> 0:38:46.960
<v Speaker 2>of Bloomberg Daybreak Weekend. Join us again Monday morning at

0:38:47.000 --> 0:38:49.560
<v Speaker 2>five am Wall Street Time for the latest on markets,

0:38:49.600 --> 0:38:51.960
<v Speaker 2>overseas and the news you need to start your day.

0:38:52.200 --> 0:38:54.880
<v Speaker 2>I'm Nathan Hager. Stay with us. Top stories and global

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<v Speaker 2>business headlines are coming up right now.