WEBVTT - Jobs Data and Apple Layoffs

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<v Speaker 1>From Mahard. We're Innovation, Money and Power Collie 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>I'm Caroline heard at Bloomberg's world headquarters in New York.

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<v Speaker 3>And alongsider for One more Day. I'm Ed Lovelow, also

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<v Speaker 3>in New York. This is Bloomberg Technology.

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<v Speaker 2>Coming up, we'll get a read on the health of

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<v Speaker 2>the tech labor market that.

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<v Speaker 4>As US jobs report comes in hot it is there.

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<v Speaker 4>With the read through into Silicon Valley, we'll discuss last.

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<v Speaker 3>We stick on the topic of jobs and new filing

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<v Speaker 3>shows Apple slashed around six hundred rolls after scrapping its

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<v Speaker 3>car and screen projects.

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<v Speaker 5>Will bring you that. Bloomberg Reporting and.

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<v Speaker 2>Meta changes its policies around artificial intelligence to allow more

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<v Speaker 2>AI generated content to remain on its platforms. We'll discuss

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<v Speaker 2>that and so much more throughout this hour. And what

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<v Speaker 2>are you watching on more of the MACROPA Just the.

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<v Speaker 3>Basics of the jobs numbers, three hundred and three thousand,

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<v Speaker 3>that's hot, the estimate two hundred and fourteen thousand worth,

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<v Speaker 3>noting that there was also an upward revision to twenty

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<v Speaker 3>two thousand. Net for the prior two months on the

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<v Speaker 3>money when it comes to.

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<v Speaker 5>Wages or earnings.

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<v Speaker 3>As you said, you know, we'll think about what this

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<v Speaker 3>means for specific tech names.

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<v Speaker 5>In just a moment.

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<v Speaker 3>But I think that it's good news in the sense

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<v Speaker 3>Corporate America is looking great, you know, powering the economy.

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<v Speaker 3>But the concern clearly is the timing of a FED

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<v Speaker 3>rate cut. Higher rates discount the present value of future

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<v Speaker 3>cash flows, as we always say on this show, and

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<v Speaker 3>the market right now pushing out that rate cut bet

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<v Speaker 3>to September from July. That's kind of where my head's

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<v Speaker 3>out right now.

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<v Speaker 2>Certainly, let's just get our heads around what happened with

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<v Speaker 2>the job's number, what it means for a labor force,

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<v Speaker 2>particularly in the technology sector. LinkedIn Head of Economics America's

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<v Speaker 2>Corey Katang is joining us for look your take on

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<v Speaker 2>the numbers, because all we've had inbound wise is companies

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<v Speaker 2>becoming more contained with their hiring, more focused on just

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<v Speaker 2>the AIS part of the equation and ultimately letting people go,

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<v Speaker 2>what do you make of the fact that still we've

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<v Speaker 2>got such a resilient jobs market coin.

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<v Speaker 6>Well, today's number was a solid number. It's important to

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<v Speaker 6>keep in mind that the job's number in terms of

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<v Speaker 6>total jobs added has actually been fluctuating on average between

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<v Speaker 6>two and three hundred since June twenty twenty three. So

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<v Speaker 6>we're actually seeing a fair amount of steadiness in the

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<v Speaker 6>labor market in terms of the number of jobs added.

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<v Speaker 6>When you think about what's happening in the tech sector,

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<v Speaker 6>we're seeing that the tech sector has also been sort

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<v Speaker 6>of stabilized since June twenty twenty three. Based on our

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<v Speaker 6>data a LinkedIn, we've see that the pace of hiring

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<v Speaker 6>at tech has leveled out.

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<v Speaker 5>It's still well.

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<v Speaker 6>Below what it was before the pandemic, but we are

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<v Speaker 6>no longer seeing massive drop offs in terms of hiring

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<v Speaker 6>in tech.

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<v Speaker 5>Corey, let's stick with that.

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<v Speaker 3>So the pace of hiring in technology has leveled off

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<v Speaker 3>according to your data. Therefore, it's not a big contributor

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<v Speaker 3>to that three to three we saw this morning.

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<v Speaker 5>The sector.

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<v Speaker 6>I mean, that's right, two thirds of that three oh

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<v Speaker 6>three is coming from just three sectors. Government, leisure and hospitality,

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<v Speaker 6>hospitals and healthcare. That's the case this month, that was

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<v Speaker 6>the case last month as well.

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<v Speaker 3>I'm also interested that in money, wages, earnings, call it

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<v Speaker 3>what you will, Karen and I pointed out, you know,

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<v Speaker 3>on estimates, but we're not hearing that, particularly in the

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<v Speaker 3>context of AI.

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<v Speaker 5>We heard from Brad light Cap.

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<v Speaker 3>The COO of Open AI, on the show yesterday there

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<v Speaker 3>is a talent war, and a net result of talent

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<v Speaker 3>war is usually you've got to pay more, either in

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<v Speaker 3>cash or in stock. What's your data telling you.

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<v Speaker 6>Well, certainly for AI roles, we're talking about technical AI roles,

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<v Speaker 6>not just roles that may use AI. For those technical

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<v Speaker 6>AI roles, there's a shortage of supply of workers that

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<v Speaker 6>has been growing. We've seen in LinkedIn data that the

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<v Speaker 6>number of workers who have those technical AI skills has

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<v Speaker 6>been rising and rising rapidly, but it hasn't been able

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<v Speaker 6>to keep up with the demand for these workers. So

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<v Speaker 6>that's driving wages up and companies are going to consider

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<v Speaker 6>other options, right They're also going to look for other

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<v Speaker 6>places like Brazil and India where can they find these

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<v Speaker 6>workers with these technical skills in order to build AI

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<v Speaker 6>tools in house to foster productivity and innovation, but also

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<v Speaker 6>managed to keep some control on their costs.

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<v Speaker 2>Interesting we're hearing of course that ultimately immigration is helping

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<v Speaker 2>keep down that wage inflation pressure. That's happening here in

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<v Speaker 2>the United States as well. I wonder how many of

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<v Speaker 2>those are coming into the tech sector. Is their talent

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<v Speaker 2>coming in from abroad at the moment, do you think?

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<v Speaker 1>Coy?

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<v Speaker 6>So right now we're not seeing a ton of talent

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<v Speaker 6>coming into the tech sector, but we are seeing a

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<v Speaker 6>recovery from the pandemic. So the pandemic really knocked off

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<v Speaker 6>a lot of movement within the tech sector, and we're

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<v Speaker 6>starting to see those numbers come back up.

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<v Speaker 5>Now.

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<v Speaker 6>There is a gap that was created by the workers

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<v Speaker 6>who didn't come in twenty twenty twenty twenty one, and

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<v Speaker 6>so we're still not there in terms of making up

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<v Speaker 6>the gap for those works, but it's starting to come

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<v Speaker 6>back at a level at a pace that can help

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<v Speaker 6>support that sector.

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<v Speaker 2>What about diversity, I mean, this is something that we

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<v Speaker 2>always need to keep a track on that ultimately the

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<v Speaker 2>disparity in wages that are going to people to color

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<v Speaker 2>versus white workers, women versus men.

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<v Speaker 4>How are the demographics shaking out at the moment.

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<v Speaker 6>So one thing we've actually recently seen at LinkedIn, we've

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<v Speaker 6>done an analysis that says when the labor market slows down,

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<v Speaker 6>we see less women hired into leadership and that's not

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<v Speaker 6>a situation where less women are applying for leadership. When

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<v Speaker 6>the labor market slows down, they're applying more, but they're

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<v Speaker 6>less likely to make their way into the top levels

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<v Speaker 6>of leadership. So as the labor market slows down, it's

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<v Speaker 6>very clear that everyone is disproportionately impacted. For example, the

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<v Speaker 6>pandemic wiped out about five years of gains in the

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<v Speaker 6>Black White unemployment gap. So as we continue to see

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<v Speaker 6>some of the air being let out of the labor market.

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<v Speaker 6>Right now, it looks stable, but if we do continue

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<v Speaker 6>to see some air light out as expected until we

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<v Speaker 6>start to see interest rates cut, that is certainly going

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<v Speaker 6>to proportionately impact workers.

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<v Speaker 3>LinkedIn Head of Economics for America's Corey Contenga, it's great

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<v Speaker 3>to have you back on the program.

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<v Speaker 5>Thank you.

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<v Speaker 3>Some important breaking headlines and an update. The FAA says

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<v Speaker 3>there is a ground stop at JFK and Newark Airports.

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<v Speaker 3>In a statement, the FAA says at four point eight

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<v Speaker 3>magnitude earthquake in New Jersey may impact some air traffic

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<v Speaker 3>facilities in New York, New Jersey, but also Philadelphia and Baltimore.

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<v Speaker 3>Air traffic operations are resuming as quickly as possible, and

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<v Speaker 3>for more real time information go to the official channels,

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<v Speaker 3>but we'll keep you posted here on Bloomberg Technology as well.

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<v Speaker 3>I'm one of those people due to fly back to

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<v Speaker 3>the West Coast from one of those airports this afternoon.

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<v Speaker 3>Let's see what happens and also stick with the job

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<v Speaker 3>story for a moment. According to filings with the California

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<v Speaker 3>Employment Development Department, Apple laid off more than six hundred

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<v Speaker 3>employees as part of the decisions to end its car

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<v Speaker 3>and smart watch display projects. More let's go out to

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<v Speaker 3>Bloomberg's Mark German. This is based on the warn notices,

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<v Speaker 3>a really important place to look.

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<v Speaker 5>What ima.

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<v Speaker 7>So we've known about the layoffs for quite some time. Obviously,

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<v Speaker 7>we broke the news in February that the Apple car

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<v Speaker 7>project was being ended, and we also broke the news

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<v Speaker 7>that the Apple micro led display project related to next

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<v Speaker 7>generation Apple watches was being ended. The display project is

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<v Speaker 7>less known, so me explained it for a minute. This

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<v Speaker 7>was an effort where Apple was custom designing its own

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<v Speaker 7>screens for the first time. Typically they relied on designs

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<v Speaker 7>from Samsung, LG, what have you. For the first time,

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<v Speaker 7>they were designing and test building test manufacturing their own

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<v Speaker 7>displays at facilities in Santa Clara in Silicon Valley, California.

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<v Speaker 7>So both of those projects ending. The people are some

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<v Speaker 7>of the people part of the projects being laid off.

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<v Speaker 7>We've known that. Now thanks to the war notices, we

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<v Speaker 7>have a number. The total was six hundred and fourteen

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<v Speaker 7>people right in California. Now the layoffs are actually a

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<v Speaker 7>lot higher than that. There was a big group of

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<v Speaker 7>Apple car employees working out of a secretive facility in

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<v Speaker 7>Arizona outside Phoenix, at an old General Motors facility, and

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<v Speaker 7>then in Asia you had several hundred people also working

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<v Speaker 7>on the display project. So in California, six hundred and

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<v Speaker 7>fourteen people, but the layoffs probably a bit closer to

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<v Speaker 7>one thousand.

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<v Speaker 4>Mark.

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<v Speaker 2>Can you give us the context of what one thousand

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<v Speaker 2>is relative to how many employees Apple has?

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<v Speaker 7>You know, Apple has about one hundred and eighty thousand employees,

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<v Speaker 7>maybe a little bit more, a little bit less than that,

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<v Speaker 7>but that is a rough estimate that that includes both

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<v Speaker 7>corporate and retail employees. On the on the corporate side,

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<v Speaker 7>it's probably closer to seventy thousand employees, right, So a

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<v Speaker 7>couple percentage points of the company. Again, these are not

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<v Speaker 7>the mass layoffs that you've seen from some of the

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<v Speaker 7>other companies in Silicon Valley. We're not talking about ten, eighteen,

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<v Speaker 7>twenty thirty percent here. But still for Apple, this is

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<v Speaker 7>three major rounds of layoffs. And I say major major

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<v Speaker 7>contextually for Apple because they just don't do this right.

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<v Speaker 7>So you had San Diego in January one hundred and

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<v Speaker 7>twenty one people. This was an office where they did

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<v Speaker 7>annotation and testing and improvement to Siri. They offer jobs

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<v Speaker 7>to those people in Texas, but you can probably count

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<v Speaker 7>on one or two hands how many people will be

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<v Speaker 7>moving from San Diego to Texas for this role. And

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<v Speaker 7>so that's one hundred and twenty one people. Then in

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<v Speaker 7>February another six hundred and fourteen people, plus the several

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<v Speaker 7>other one hundred in Asia in Arizona. So it is

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<v Speaker 7>quite notable for Apple that we've come to this point

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<v Speaker 7>where they're killing R and D projects and they're laying

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<v Speaker 7>people off.

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<v Speaker 2>Mar Gooman, we thank you so much for coming on

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<v Speaker 2>in a day where you're meant to be resting. Thank

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<v Speaker 2>you for spilling the means when it comes to Apple.

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<v Speaker 2>We've got some more stocks to watch for. At this moment,

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<v Speaker 2>Paramount currently under pressure. Now this is what we see

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<v Speaker 2>reporting coming from CNBC that sky Dance's unique offer for

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<v Speaker 2>Paramount is a special committee has a company continuing to

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<v Speaker 2>trade publicly.

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<v Speaker 4>But get this.

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<v Speaker 2>Ultimately, the offer coming from Skydance will mean that the

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<v Speaker 2>new ecuity will be dilutive for existing shareholders, but will

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<v Speaker 2>align voting in each economic control in a way that

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<v Speaker 2>hasn't been the case with the Redstone family. Of course,

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<v Speaker 2>this is as we see Skuydoance taking over that Redstone

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<v Speaker 2>Sherry Redstone element of control over Paramount's parent company shares.

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<v Speaker 2>Keep a close eye on this potential deal. We're down

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<v Speaker 2>four and a half percent after a rally yesterday. This

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<v Speaker 2>is Bluemo Technology. Let's just go to another key stock

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<v Speaker 2>that's actually on the move today to the higher side, Meta.

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<v Speaker 2>But this is as the company is actually announcing it's

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<v Speaker 2>changing its artificial intelligence policies. It's going to allow for

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<v Speaker 2>more content generated by AI to remain on its platforms

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<v Speaker 2>for more.

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<v Speaker 4>Let's bring in bluemos Kirk Wagner.

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<v Speaker 2>For ultimately the policy nuance here, they're going to allow it,

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<v Speaker 2>but they'll market.

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<v Speaker 5>That's right.

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<v Speaker 8>So a couple of years ago, they came out with

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<v Speaker 8>this manipulated media policy which basically said, you know, if

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<v Speaker 8>someone uploads a video that makes it look like you, Caroline,

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<v Speaker 8>are saying something you didn't actually say, it's been AI

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<v Speaker 8>generated to sort of mislead people, that they would take

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<v Speaker 8>that down. And now what they're saying is they're going

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<v Speaker 8>to leave it up, but they're going to label it.

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<v Speaker 8>And the idea being that if those types of videos

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<v Speaker 8>do not violate a different rule within the company, if

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<v Speaker 8>the only sort of you know, issue is that it

0:11:15.120 --> 0:11:17.440
<v Speaker 8>was AI generated, they're going to leave it up even

0:11:17.440 --> 0:11:19.280
<v Speaker 8>if it is misleading. Now, these things could still be

0:11:19.320 --> 0:11:21.720
<v Speaker 8>fact checked, right, so there's a couple different ways that

0:11:21.760 --> 0:11:25.079
<v Speaker 8>the company could sort of label these as AI generated

0:11:25.160 --> 0:11:27.360
<v Speaker 8>or misleading, but they are going to lead them up

0:11:27.400 --> 0:11:28.360
<v Speaker 8>instead of taking them down.

0:11:29.000 --> 0:11:34.080
<v Speaker 4>Kut. How does this differ from others, Well, you know.

0:11:34.400 --> 0:11:36.520
<v Speaker 8>X as we've seen, has sort of they have a

0:11:36.559 --> 0:11:40.000
<v Speaker 8>manipulated media policy as well, but it doesn't not necessarily

0:11:40.080 --> 0:11:42.520
<v Speaker 8>convinced that they're able to enforce these things in the

0:11:42.520 --> 0:11:45.160
<v Speaker 8>way that they say they are. You know, we've seen

0:11:45.160 --> 0:11:48.360
<v Speaker 8>this happen with the twenty twenty election. We saw some

0:11:48.520 --> 0:11:51.880
<v Speaker 8>manipulated videos and audio show up. We've already heard complaints

0:11:51.920 --> 0:11:54.400
<v Speaker 8>that this might be an issue for twenty twenty four, right,

0:11:54.440 --> 0:11:56.800
<v Speaker 8>So the reason we're following this news and why these

0:11:56.800 --> 0:11:58.920
<v Speaker 8>policies matter, of course, even if it is a small

0:11:59.040 --> 0:12:01.880
<v Speaker 8>number of actual post hosts that are impacted, it's that

0:12:02.000 --> 0:12:04.360
<v Speaker 8>those posts could be you know, shared by President Trump,

0:12:04.400 --> 0:12:08.000
<v Speaker 8>President Biden, major campaigns are that are trying to influence

0:12:08.000 --> 0:12:10.360
<v Speaker 8>this election, and so it's important that the company figure

0:12:10.400 --> 0:12:12.239
<v Speaker 8>this out before twenty twenty four happens.

0:12:12.679 --> 0:12:15.360
<v Speaker 2>Okay, And this does come into such a political context,

0:12:15.360 --> 0:12:17.280
<v Speaker 2>It comes in such context at the moment of just

0:12:17.360 --> 0:12:20.760
<v Speaker 2>generative AI being the flavor de jure. And are we

0:12:20.920 --> 0:12:25.600
<v Speaker 2>seeing ultimately companies having to front run politicians and indeed

0:12:25.640 --> 0:12:26.800
<v Speaker 2>regulatory change at this.

0:12:28.360 --> 0:12:31.720
<v Speaker 8>We are because there is no regulatory framework for how

0:12:31.760 --> 0:12:36.439
<v Speaker 8>these companies shouldn't moderate AI posts, but specifically generative AI.

0:12:36.679 --> 0:12:39.360
<v Speaker 8>And so we've seen Nick Klegg at Meta come out

0:12:39.360 --> 0:12:41.880
<v Speaker 8>publicly several times already in the last couple months and

0:12:41.920 --> 0:12:45.679
<v Speaker 8>say we need rules, We need you know, government and

0:12:45.720 --> 0:12:48.120
<v Speaker 8>regulators to basically come in and put some guardrails on

0:12:48.120 --> 0:12:50.800
<v Speaker 8>this thing, because otherwise it's up to the companies themselves

0:12:50.800 --> 0:12:53.240
<v Speaker 8>and Meta you know, to its credit, is trying to

0:12:53.280 --> 0:12:55.560
<v Speaker 8>be proactive, or at least that's what they seem to

0:12:55.559 --> 0:12:59.120
<v Speaker 8>be doing. But you know, unless there's anybody holding them accountable,

0:12:59.160 --> 0:13:02.480
<v Speaker 8>holding you Tube and X and other platforms accountable, it's

0:13:02.520 --> 0:13:05.800
<v Speaker 8>just everyone for themselves here. And so you know they

0:13:05.800 --> 0:13:09.480
<v Speaker 8>are doing this proactively because there is no framework from

0:13:09.520 --> 0:13:11.040
<v Speaker 8>the US or other governments.

0:13:11.080 --> 0:13:13.080
<v Speaker 4>Really, Wagner, we thank you.

0:13:20.880 --> 0:13:22.599
<v Speaker 3>Welcome back to Bloomberg Technology.

0:13:22.679 --> 0:13:23.320
<v Speaker 5>I'm ed LOVEO.

0:13:23.480 --> 0:13:24.480
<v Speaker 4>I'm Caroline Hyde.

0:13:24.600 --> 0:13:25.840
<v Speaker 5>Okay, a quick update.

0:13:25.960 --> 0:13:29.920
<v Speaker 3>An earthquake rattled northern New Jersey on this morning, shook

0:13:29.960 --> 0:13:33.400
<v Speaker 3>building offices in Manhattan, and was felt on Long Island

0:13:33.480 --> 0:13:37.280
<v Speaker 3>and in New York's Hudson Valley. Preliminary reports say it's

0:13:37.320 --> 0:13:41.040
<v Speaker 3>a four point seven magnitude tremor. New York Governor Kathi

0:13:41.120 --> 0:13:44.800
<v Speaker 3>Hokel posting about the quake, saying her team's assessing impact

0:13:45.080 --> 0:13:49.480
<v Speaker 3>and damage. Headlines also out that President Biden has been briefed.

0:13:49.640 --> 0:13:50.240
<v Speaker 5>Caroline.

0:13:50.440 --> 0:13:52.959
<v Speaker 2>You local San Franciscans are just going like, what are

0:13:52.960 --> 0:13:53.880
<v Speaker 2>they worrying about?

0:13:54.400 --> 0:13:55.080
<v Speaker 4>Ed, what have you got?

0:13:55.320 --> 0:13:57.240
<v Speaker 5>Okay, check this out for a second.

0:14:00.600 --> 0:14:04.480
<v Speaker 3>So it looks like I'm not the only Bay Area

0:14:04.559 --> 0:14:07.600
<v Speaker 3>local spending some time in New York City this week.

0:14:07.640 --> 0:14:10.800
<v Speaker 3>That was Levi CEO Michelle Gas ringing the bell at

0:14:10.800 --> 0:14:13.760
<v Speaker 3>the New York Stock Exchange earlier today, just days after

0:14:13.760 --> 0:14:18.160
<v Speaker 3>the company reported earnings, but also of significant milestone or

0:14:18.160 --> 0:14:23.400
<v Speaker 3>anniversary since the IPO five years interesting lifting EPs forecast

0:14:23.440 --> 0:14:26.320
<v Speaker 3>for the full year, reporting adjusted knit income for the

0:14:26.320 --> 0:14:31.280
<v Speaker 3>first quarter that beats estimates discipline cost cutting. There's a

0:14:31.280 --> 0:14:34.080
<v Speaker 3>bigger story out there, and it's Beyonce. Delighted to say

0:14:34.520 --> 0:14:37.040
<v Speaker 3>that Levi Michelle Gas joins us on set.

0:14:37.280 --> 0:14:39.640
<v Speaker 9>Thanks for having me, ed carolinem thrilled to be here.

0:14:39.840 --> 0:14:43.280
<v Speaker 3>I think we should just get right to Beyonce. To

0:14:43.360 --> 0:14:46.160
<v Speaker 3>those who are living under a rock or perhaps didn't

0:14:46.160 --> 0:14:50.200
<v Speaker 3>see it, Beyonce dropped the track list first for her

0:14:50.240 --> 0:14:53.760
<v Speaker 3>new album. One of the titles was Levi Eyes Jeans.

0:14:53.760 --> 0:14:57.280
<v Speaker 3>There was next Trye in there. That must be quite

0:14:57.320 --> 0:14:58.600
<v Speaker 3>a boost you got this week.

0:14:58.960 --> 0:15:01.200
<v Speaker 9>Well, I mean, let me just we are just so

0:15:01.360 --> 0:15:05.240
<v Speaker 9>honored that someone like Beyonce, who is a global icon

0:15:05.320 --> 0:15:07.160
<v Speaker 9>of a culture shaper, would.

0:15:07.080 --> 0:15:08.440
<v Speaker 4>Name a song after us.

0:15:09.160 --> 0:15:11.880
<v Speaker 9>Completely organic by the way, ed so, but.

0:15:11.800 --> 0:15:13.320
<v Speaker 5>We will hold it on. What do you mean by

0:15:13.360 --> 0:15:14.560
<v Speaker 5>completely organic?

0:15:14.600 --> 0:15:16.360
<v Speaker 9>That we didn't have anything to do with her?

0:15:16.440 --> 0:15:17.960
<v Speaker 5>Naming a song after us.

0:15:18.040 --> 0:15:20.160
<v Speaker 4>Yeah, but that being said.

0:15:20.080 --> 0:15:22.040
<v Speaker 9>I will say, I mean to me, you know, one

0:15:22.080 --> 0:15:24.160
<v Speaker 9>of the things that's so critical about Levi's. I mean,

0:15:24.200 --> 0:15:28.240
<v Speaker 9>we've been around for one hundred and seven years, deep heritage, authenticity,

0:15:28.440 --> 0:15:30.840
<v Speaker 9>but it's so important that we remain at the center

0:15:30.880 --> 0:15:34.520
<v Speaker 9>of culture. Right We're very We're a very inviting brand.

0:15:34.600 --> 0:15:38.000
<v Speaker 9>We resonate with so many different people to be at

0:15:38.000 --> 0:15:41.760
<v Speaker 9>that center of culture and have that youthfulness and relevance.

0:15:42.280 --> 0:15:44.920
<v Speaker 9>And there's no better testament to being at the center

0:15:44.960 --> 0:15:47.720
<v Speaker 9>of culture to have someone like Beyonce actually on her

0:15:47.760 --> 0:15:49.200
<v Speaker 9>own name a song after us.

0:15:49.480 --> 0:15:52.520
<v Speaker 4>So we are just thrilled. Has that done two sales

0:15:52.560 --> 0:15:53.720
<v Speaker 4>in the last week or so?

0:15:53.800 --> 0:15:55.480
<v Speaker 9>Can you get so it's so you know, so so

0:15:55.680 --> 0:15:58.000
<v Speaker 9>very early, But I think it's it's part of I

0:15:58.000 --> 0:16:00.400
<v Speaker 9>think the bigger thing that's happening right now is Levi's

0:16:00.480 --> 0:16:03.240
<v Speaker 9>is having a great moment. I mean, you just mentioned

0:16:03.280 --> 0:16:05.560
<v Speaker 9>we were so pleased to start the year off so strong,

0:16:05.720 --> 0:16:10.920
<v Speaker 9>exceeding expectations inside and externally, but underneath that a lot

0:16:10.960 --> 0:16:15.040
<v Speaker 9>of goodness. The denim category, after some volatility the last

0:16:15.040 --> 0:16:18.000
<v Speaker 9>couple of years, has stabilized. We're expecting the category to

0:16:18.040 --> 0:16:21.600
<v Speaker 9>grow globally in the mid single digits. Importantly, Levi's is

0:16:21.640 --> 0:16:24.040
<v Speaker 9>growing share, so in the US we're going share with

0:16:24.160 --> 0:16:28.120
<v Speaker 9>men's and women's, with youth, with the middle income consumer,

0:16:28.160 --> 0:16:29.920
<v Speaker 9>which is a great bell weather to the health of

0:16:29.920 --> 0:16:33.160
<v Speaker 9>the consumer. And you know, as we think about our

0:16:33.200 --> 0:16:36.680
<v Speaker 9>business kind of driving that optimism, I'd first say it's

0:16:36.680 --> 0:16:40.720
<v Speaker 9>our direct to consumer that business up now for eight

0:16:40.800 --> 0:16:45.080
<v Speaker 9>consecutive quarters, up eight percent. And also what's driving that

0:16:45.280 --> 0:16:48.360
<v Speaker 9>is what's happening in Denham, Like Levi's is having a moment,

0:16:48.560 --> 0:16:52.440
<v Speaker 9>Denim's having a moment. Head to toe denim dressing. We're

0:16:52.560 --> 0:16:55.760
<v Speaker 9>leading in trends. So as we think about our men's

0:16:55.760 --> 0:16:59.880
<v Speaker 9>and women's business, loose fits, baggy fits up forty percent,

0:17:00.440 --> 0:17:05.439
<v Speaker 9>our tops are exceeding expectations, dresses skirts, denim skirts are

0:17:05.560 --> 0:17:06.280
<v Speaker 9>triple digits.

0:17:06.359 --> 0:17:08.600
<v Speaker 4>So really, when you look underneath the.

0:17:08.600 --> 0:17:10.399
<v Speaker 9>Hood, there is a lot of great things to be

0:17:10.440 --> 0:17:13.000
<v Speaker 9>excited about. Hence why we raised expectations for the year.

0:17:13.040 --> 0:17:14.760
<v Speaker 2>And there's a lot to be said for the plans

0:17:14.800 --> 0:17:17.000
<v Speaker 2>that you've put in place. Now, you say that you

0:17:17.040 --> 0:17:19.200
<v Speaker 2>had nothing to do with Beyonce's naming of a song,

0:17:19.200 --> 0:17:21.560
<v Speaker 2>but actually Levi's did back in the day because they

0:17:21.560 --> 0:17:23.960
<v Speaker 2>were one of the only key brands that would affiliate

0:17:24.000 --> 0:17:26.960
<v Speaker 2>themselves with Destiny's child, and so ultimately she comes from

0:17:26.960 --> 0:17:28.480
<v Speaker 2>this place of authenticity.

0:17:28.600 --> 0:17:30.040
<v Speaker 4>You come from a place of leveraging it.

0:17:30.040 --> 0:17:32.480
<v Speaker 2>From an influencer perspective, we see how you read brand

0:17:32.880 --> 0:17:35.919
<v Speaker 2>the Instagram handle for the day to be a double eye.

0:17:36.320 --> 0:17:38.840
<v Speaker 2>What do you therefore do with the director consumer sort

0:17:38.880 --> 0:17:41.800
<v Speaker 2>of online element of this because I now buy my

0:17:41.880 --> 0:17:44.560
<v Speaker 2>Levi's via Amazon. How much have you been we're a

0:17:44.560 --> 0:17:46.639
<v Speaker 2>tech show. How much has technology been where it's.

0:17:46.520 --> 0:17:46.919
<v Speaker 4>At for you?

0:17:46.960 --> 0:17:49.600
<v Speaker 9>No, I think that's great. I mean testaments who are

0:17:49.600 --> 0:17:52.960
<v Speaker 9>really talented marketing and social media time team women. When

0:17:52.960 --> 0:17:56.000
<v Speaker 9>that happened, instantly they got after it and to your point,

0:17:56.080 --> 0:17:58.880
<v Speaker 9>leveraged that branding and social media. And we've had over

0:17:58.920 --> 0:18:00.680
<v Speaker 9>a billion impressions since they.

0:18:00.600 --> 0:18:01.720
<v Speaker 4>Got after that that day.

0:18:01.840 --> 0:18:04.840
<v Speaker 9>Just to give you a sense, but peeing direct to

0:18:04.880 --> 0:18:08.480
<v Speaker 9>consumer is really omnichannel. If you think about our e

0:18:08.520 --> 0:18:11.040
<v Speaker 9>commerce business that was up with double digits on top

0:18:11.080 --> 0:18:12.600
<v Speaker 9>of double digits, I mean that.

0:18:12.560 --> 0:18:13.600
<v Speaker 4>Business is on fire.

0:18:13.840 --> 0:18:16.479
<v Speaker 9>But it's all connected. And as we connect with our

0:18:16.520 --> 0:18:21.720
<v Speaker 9>consumer online and our stores, all ships raise and you

0:18:22.320 --> 0:18:23.440
<v Speaker 9>made a commona Amazon.

0:18:23.640 --> 0:18:24.480
<v Speaker 4>We want people to.

0:18:24.400 --> 0:18:27.280
<v Speaker 9>Buy Levi's wherever they want to. I mean, we love

0:18:27.320 --> 0:18:29.639
<v Speaker 9>it when they're engaging in the store because they can

0:18:29.680 --> 0:18:31.600
<v Speaker 9>see the full expression, right, they can see all.

0:18:31.520 --> 0:18:32.159
<v Speaker 4>The new fits.

0:18:32.280 --> 0:18:35.360
<v Speaker 9>Our talented stylists can help them find their next favorite

0:18:35.359 --> 0:18:37.240
<v Speaker 9>pair of jeans or the next great top that goes

0:18:37.240 --> 0:18:39.440
<v Speaker 9>with it. But you know, as many.

0:18:39.200 --> 0:18:39.679
<v Speaker 4>Stores you will.

0:18:39.680 --> 0:18:42.160
<v Speaker 9>We have three thousand stores now globally, a thousand which

0:18:42.200 --> 0:18:44.760
<v Speaker 9>are company owned and operated, and we're intending to build

0:18:44.760 --> 0:18:47.560
<v Speaker 9>a lot more one hundred Net News stores this year.

0:18:47.720 --> 0:18:50.359
<v Speaker 9>One of which, by the way, is that we're relocating

0:18:50.640 --> 0:18:53.280
<v Speaker 9>at the Champs des Age just in time for the Olympics.

0:18:53.600 --> 0:18:56.320
<v Speaker 9>It's going to be a beautiful store this summer before

0:18:56.359 --> 0:18:59.439
<v Speaker 9>the Olympics. And so we'll have those flagships stores, but

0:18:59.480 --> 0:19:01.399
<v Speaker 9>lots of store that are coming into neighborhoods. But we're

0:19:01.440 --> 0:19:04.000
<v Speaker 9>not going to be everywhere, so people can buy their

0:19:04.400 --> 0:19:06.200
<v Speaker 9>their Levi's wherever they like to shop.

0:19:06.280 --> 0:19:09.159
<v Speaker 3>Okay, so really quick, yes or no? Not answer if

0:19:09.160 --> 0:19:11.520
<v Speaker 3>you won't give me a number. Did Beyonce result in

0:19:11.560 --> 0:19:13.000
<v Speaker 3>an uptick of sales this week?

0:19:13.119 --> 0:19:14.160
<v Speaker 9>I'm not going to give you a number.

0:19:14.240 --> 0:19:14.800
<v Speaker 5>Kay, let me off.

0:19:14.880 --> 0:19:16.760
<v Speaker 9>But Lego I just said, being in the center of

0:19:16.800 --> 0:19:18.800
<v Speaker 9>culture is a privilege and we lean into it.

0:19:18.880 --> 0:19:20.199
<v Speaker 5>Let me ask you this really quickly.

0:19:20.400 --> 0:19:23.879
<v Speaker 3>You've talked about Paris, our city, San Francisco, is still

0:19:23.920 --> 0:19:28.320
<v Speaker 3>facing location issues where people are shutting stores. Would you

0:19:28.440 --> 0:19:31.080
<v Speaker 3>ever contemplate that in San Francisco?

0:19:31.240 --> 0:19:33.760
<v Speaker 9>We well, first of all, our headquarters in San Francisco.

0:19:34.080 --> 0:19:35.240
<v Speaker 4>We are here to stay.

0:19:35.480 --> 0:19:38.320
<v Speaker 9>We've renewed our lease in our headquarters. We are deeply

0:19:38.320 --> 0:19:41.760
<v Speaker 9>committed to San Francisco. We have a beautiful flagship store

0:19:41.800 --> 0:19:44.879
<v Speaker 9>on Market Street and they're doing great, So we are

0:19:45.119 --> 0:19:47.040
<v Speaker 9>we are committed to San Francisco and being part of

0:19:47.080 --> 0:19:50.440
<v Speaker 9>the solution to bring back the vibrancy to this amazing city.

0:19:51.440 --> 0:19:53.280
<v Speaker 2>It is so good to have you here talking with

0:19:53.320 --> 0:19:55.560
<v Speaker 2>San Francisco, but in the house in New York, both

0:19:55.560 --> 0:19:58.040
<v Speaker 2>of you flying back later today. It's a joy to

0:19:58.080 --> 0:20:01.520
<v Speaker 2>have leave CEO Michelle Gas at this moment where well,

0:20:02.240 --> 0:20:04.600
<v Speaker 2>Levi's on trend. Let's just talk about what else is

0:20:04.960 --> 0:20:06.640
<v Speaker 2>top of mind for many of you who are about

0:20:06.680 --> 0:20:07.200
<v Speaker 2>to fly out.

0:20:07.480 --> 0:20:09.840
<v Speaker 4>Some updates on the earthquake here in the East Coast.

0:20:09.960 --> 0:20:12.600
<v Speaker 2>JFK Airport posting on x that the airport does remain

0:20:12.680 --> 0:20:15.479
<v Speaker 2>open and operational again. Preliminary reports say that a four

0:20:15.520 --> 0:20:19.080
<v Speaker 2>point eight magnitude traumer rattle northern New Jersey, with Manhattan,

0:20:19.119 --> 0:20:21.080
<v Speaker 2>Long Island Hudson Valley also feeling the impact.

0:20:21.280 --> 0:20:23.320
<v Speaker 4>We're going to continue to monitor the headlines for you,

0:20:23.480 --> 0:20:24.240
<v Speaker 4>bring you the latest.

0:20:24.240 --> 0:20:26.119
<v Speaker 2>Most importantly for ED, because I know you're about to

0:20:26.119 --> 0:20:52.720
<v Speaker 2>board a plane.

0:20:41.840 --> 0:20:45.080
<v Speaker 3>I'm going to post on X. Responding to someone else

0:20:45.080 --> 0:20:49.600
<v Speaker 3>who had posted the Reuters headline, Musk says Reuters is

0:20:49.680 --> 0:20:55.199
<v Speaker 3>lying again in brackets. Reuters had reported that Tesla was

0:20:55.240 --> 0:20:58.800
<v Speaker 3>scrapping plans for a twenty five thousand dollars or low

0:20:58.880 --> 0:21:04.200
<v Speaker 3>cost EV in favor of favoring robotaxis Elon Musk taking

0:21:04.240 --> 0:21:08.480
<v Speaker 3>to his own social platform X to say that they

0:21:08.480 --> 0:21:09.000
<v Speaker 3>are lying.

0:21:09.119 --> 0:21:11.000
<v Speaker 2>We will keep you up to date with all the

0:21:11.040 --> 0:21:12.840
<v Speaker 2>goings on with Tesla. Now, let's get you all the

0:21:12.880 --> 0:21:15.560
<v Speaker 2>goings on. When it comes to artificial intelligence and out

0:21:15.560 --> 0:21:18.280
<v Speaker 2>in cloud, Flare is letting more developers bring their own

0:21:18.320 --> 0:21:21.240
<v Speaker 2>AI applications from hugging Face onto its platform now. The

0:21:21.280 --> 0:21:23.720
<v Speaker 2>company made the announcement this week, and it's also making

0:21:23.800 --> 0:21:29.400
<v Speaker 2>its fervolous GPU powered inference known as workers AI, generally available.

0:21:29.640 --> 0:21:31.919
<v Speaker 2>Let's bring in cloud Flair CEO Matthew Prints, So I'm

0:21:31.920 --> 0:21:34.560
<v Speaker 2>so police can always make these things far more simple

0:21:34.760 --> 0:21:36.520
<v Speaker 2>than some of the jug and that we have to say,

0:21:36.560 --> 0:21:39.200
<v Speaker 2>and I'm more interested. Ultimately, there has been this desire

0:21:39.240 --> 0:21:43.080
<v Speaker 2>by all companies to leverage the power of generative artificial intelligence,

0:21:43.160 --> 0:21:45.000
<v Speaker 2>and what we keep having to talk about is not

0:21:45.040 --> 0:21:47.440
<v Speaker 2>only how you integrate that within your workflow, but also

0:21:47.440 --> 0:21:48.399
<v Speaker 2>how expensive it can be.

0:21:48.840 --> 0:21:49.600
<v Speaker 4>You're trying to make.

0:21:49.480 --> 0:21:52.399
<v Speaker 2>It less expensive, make it more easy to adopt, to

0:21:52.400 --> 0:21:53.400
<v Speaker 2>build your own AI apps.

0:21:53.480 --> 0:21:55.320
<v Speaker 5>Right, That's exactly right.

0:21:55.359 --> 0:21:58.800
<v Speaker 10>There is not one AI solution for every company. We

0:21:58.840 --> 0:22:01.119
<v Speaker 10>don't think it's one size all, and so we're excited

0:22:01.119 --> 0:22:04.399
<v Speaker 10>to be partnering with hugging Face, which is effectively the

0:22:04.560 --> 0:22:08.719
<v Speaker 10>marketplace for the latest AI models, and we've made it

0:22:08.760 --> 0:22:12.000
<v Speaker 10>incredibly simple for a vast majority of the hugging Face

0:22:12.080 --> 0:22:15.120
<v Speaker 10>models that are on that marketplace. Anyone who can bring

0:22:15.240 --> 0:22:18.960
<v Speaker 10>anything to that marketplace, who with one click deploy those

0:22:19.000 --> 0:22:21.960
<v Speaker 10>models across the cloud Flair network and get the best

0:22:21.960 --> 0:22:24.400
<v Speaker 10>performance from those models, but also the best costs. How

0:22:24.400 --> 0:22:28.040
<v Speaker 10>can you actually get the value of AI without blowing.

0:22:27.720 --> 0:22:30.040
<v Speaker 4>Your budget your connectivity cloud company?

0:22:30.080 --> 0:22:32.320
<v Speaker 2>What's brilliant about The perspective you have is a birds

0:22:32.320 --> 0:22:35.120
<v Speaker 2>eye perspective. You can see where trends are actually meeting reality.

0:22:35.200 --> 0:22:37.760
<v Speaker 2>And there is so much hype that we talk about

0:22:37.800 --> 0:22:40.040
<v Speaker 2>on this program day in day out, Matthew, how real

0:22:40.200 --> 0:22:42.680
<v Speaker 2>is that? How ye how much you actually see companies

0:22:42.960 --> 0:22:45.159
<v Speaker 2>embrace jenerit to AI and make real differences.

0:22:46.000 --> 0:22:48.879
<v Speaker 10>I think that you know the generator AI story, you know,

0:22:48.960 --> 0:22:51.480
<v Speaker 10>pick your sports metaphor, but it is in its earliest

0:22:51.520 --> 0:22:55.320
<v Speaker 10>innings and there's something real here. But I think it's

0:22:55.359 --> 0:22:57.080
<v Speaker 10>going to take a while for us to take what

0:22:57.160 --> 0:23:00.000
<v Speaker 10>are really great demos and turn them into really great products.

0:23:00.320 --> 0:23:03.000
<v Speaker 10>So I think I think that the hype, the excitement

0:23:03.080 --> 0:23:05.439
<v Speaker 10>is justified. But I also think that we're going to

0:23:05.440 --> 0:23:07.560
<v Speaker 10>be in a period of time where companies are going

0:23:07.600 --> 0:23:09.280
<v Speaker 10>to have to experiment. They're going to have to try

0:23:09.320 --> 0:23:11.240
<v Speaker 10>different things, They're going to have to try different models,

0:23:11.240 --> 0:23:12.680
<v Speaker 10>they're going to have to try things that make sense

0:23:12.680 --> 0:23:15.040
<v Speaker 10>for them, and so it's critical to be able to

0:23:15.160 --> 0:23:18.199
<v Speaker 10>bring the right AI that your company needs and do

0:23:18.280 --> 0:23:20.239
<v Speaker 10>it in the most cost effective way. And that's what

0:23:20.280 --> 0:23:22.959
<v Speaker 10>we're here to deliver at cloud Flair with our workers

0:23:23.040 --> 0:23:23.879
<v Speaker 10>AI platform.

0:23:23.960 --> 0:23:27.360
<v Speaker 3>What we're talking about is an AI supply chain. Yesterday,

0:23:27.480 --> 0:23:30.680
<v Speaker 3>open Ais COO Brad Lightcap joined us on the show,

0:23:30.760 --> 0:23:33.120
<v Speaker 3>and this is what he said about that AI supply chain.

0:23:34.080 --> 0:23:36.359
<v Speaker 11>The supply chain will need to adapt to what we

0:23:36.400 --> 0:23:39.520
<v Speaker 11>think is going to be this highly inflected and nearly

0:23:39.560 --> 0:23:42.159
<v Speaker 11>exponential demand in the next ten years, and so we

0:23:42.160 --> 0:23:44.280
<v Speaker 11>spend a lot of time thinking about ways that we

0:23:44.320 --> 0:23:46.399
<v Speaker 11>can make sure that that demand is met. Part of

0:23:46.400 --> 0:23:48.240
<v Speaker 11>it is just being able to bring our models to bear,

0:23:48.280 --> 0:23:51.040
<v Speaker 11>but upstream of that is obviously making sure that the

0:23:51.080 --> 0:23:54.000
<v Speaker 11>actual underlying hardware and infrastructure exists to be able to

0:23:54.040 --> 0:23:56.719
<v Speaker 11>build the systems that we need to ultimately serve that demand.

0:23:57.960 --> 0:24:00.960
<v Speaker 3>Here's the thing, Matthew, are you convinced that your potential

0:24:00.960 --> 0:24:04.080
<v Speaker 3>customer base has even worked out in what form their

0:24:04.080 --> 0:24:07.160
<v Speaker 3>demand is what they actually plan to do with generatord AI.

0:24:08.400 --> 0:24:11.040
<v Speaker 10>I don't think that they've figured exactly out. I think

0:24:11.119 --> 0:24:15.640
<v Speaker 10>everybody in the business world today is at least experimenting

0:24:15.760 --> 0:24:18.280
<v Speaker 10>in this space. If you're not experimenting the space, you're

0:24:18.280 --> 0:24:21.240
<v Speaker 10>really risk running behind. But we want to make sure

0:24:21.240 --> 0:24:24.359
<v Speaker 10>that those experiments are as cost effective as possible. We

0:24:24.400 --> 0:24:26.320
<v Speaker 10>don't want people to just be lighting money on fire

0:24:26.600 --> 0:24:28.920
<v Speaker 10>when they're running AI experiments, and so we want to

0:24:28.920 --> 0:24:30.520
<v Speaker 10>make sure that they have the models that make the

0:24:30.560 --> 0:24:33.000
<v Speaker 10>most sense for their business, they're able to deploy them

0:24:33.000 --> 0:24:35.639
<v Speaker 10>in the way which is the most cost effective for

0:24:35.760 --> 0:24:39.040
<v Speaker 10>their business, and they get the local requirements that cloud

0:24:39.040 --> 0:24:42.600
<v Speaker 10>Flares network gives. We've been able to deploy our GPU

0:24:42.800 --> 0:24:45.639
<v Speaker 10>inference powered machines today in more than one hundred and

0:24:45.680 --> 0:24:49.840
<v Speaker 10>fifty cities worldwide, making us the most widely distributed AI

0:24:49.960 --> 0:24:53.200
<v Speaker 10>inference platform that's out there, and that's really powerful as

0:24:53.200 --> 0:24:56.080
<v Speaker 10>we serve our customers all around the world who want

0:24:56.080 --> 0:24:59.480
<v Speaker 10>to be able to do inference locally. Why hugging face

0:25:00.119 --> 0:25:02.639
<v Speaker 10>how you think this is the de facto model for

0:25:03.359 --> 0:25:07.359
<v Speaker 10>the de facto marketplace for where you distribute different AI models.

0:25:07.400 --> 0:25:11.080
<v Speaker 10>If you want to experiment with various AI models, they're

0:25:11.119 --> 0:25:14.280
<v Speaker 10>the place to go. It's sort of the gethub for

0:25:14.520 --> 0:25:18.440
<v Speaker 10>AI today. And so they've been that place where developers

0:25:18.440 --> 0:25:21.080
<v Speaker 10>are uploading those models, making it as easy as possible

0:25:21.440 --> 0:25:24.640
<v Speaker 10>for anybody to be able to distribute the incredible work

0:25:24.680 --> 0:25:27.800
<v Speaker 10>that they're building with these AI tools, and that partnered

0:25:27.800 --> 0:25:30.720
<v Speaker 10>with cloud Flare's network, that makes now deploying that in

0:25:31.320 --> 0:25:35.000
<v Speaker 10>those models and using them to solve real business challenges

0:25:35.200 --> 0:25:38.639
<v Speaker 10>anywhere in the world. That's an incredibly powerful combination and

0:25:38.680 --> 0:25:40.679
<v Speaker 10>that's something that we're excited to be doing with them,

0:25:40.720 --> 0:25:42.080
<v Speaker 10>and I think there's a lot more that we can

0:25:42.080 --> 0:25:42.560
<v Speaker 10>do together.

0:25:42.760 --> 0:25:45.439
<v Speaker 2>What's interesting about the time of AI is some of

0:25:45.480 --> 0:25:48.680
<v Speaker 2>the anxiety that is given to the workplace to whether

0:25:48.720 --> 0:25:51.120
<v Speaker 2>they'll lose their roles. Now, Matthew, I want to dovetail

0:25:51.200 --> 0:25:53.919
<v Speaker 2>into that something that you've experienced recently and actually tackled

0:25:53.920 --> 0:25:57.080
<v Speaker 2>head on in a very transparent manner. People having to

0:25:57.119 --> 0:25:59.320
<v Speaker 2>be laid off in the tech sector. Now, one of

0:25:59.359 --> 0:26:02.200
<v Speaker 2>your employees, as a twenty seven year old, was laid off.

0:26:02.040 --> 0:26:04.040
<v Speaker 4>And videoed how that occurred.

0:26:04.440 --> 0:26:06.760
<v Speaker 2>It went viral and there was pushback as to the

0:26:06.800 --> 0:26:08.399
<v Speaker 2>way in which people are being let go in the

0:26:08.440 --> 0:26:12.480
<v Speaker 2>tech sector. You actually took to Twitter now x saying

0:26:12.480 --> 0:26:14.840
<v Speaker 2>the video was painful for me to watch. Managers should

0:26:14.840 --> 0:26:17.480
<v Speaker 2>always be involved. HR should be involved, but it shouldn't

0:26:17.520 --> 0:26:20.679
<v Speaker 2>be outsourced to them. How have you seen response to

0:26:20.760 --> 0:26:23.120
<v Speaker 2>your own response? How are you thinking about your own

0:26:23.119 --> 0:26:25.280
<v Speaker 2>employee base that through more than three thousand that you

0:26:25.280 --> 0:26:26.160
<v Speaker 2>have with them at the moment.

0:26:26.800 --> 0:26:30.199
<v Speaker 10>Yeah, you know, I think across the entire industry. COVID

0:26:30.280 --> 0:26:33.160
<v Speaker 10>was this really strange period of time where I think,

0:26:33.280 --> 0:26:37.080
<v Speaker 10>for very reasonable and human reasons, a lot of companies

0:26:37.160 --> 0:26:40.639
<v Speaker 10>just stopped firing people even if they didn't perform at

0:26:40.640 --> 0:26:42.200
<v Speaker 10>their job. And so I don't want to talk about

0:26:42.280 --> 0:26:45.920
<v Speaker 10>the specifics of any individual employee. That's not fair to them,

0:26:45.960 --> 0:26:48.240
<v Speaker 10>but I will say that we think it's really important

0:26:48.520 --> 0:26:51.040
<v Speaker 10>that we have a culture of performance, that we have

0:26:51.080 --> 0:26:54.560
<v Speaker 10>a culture of where people who do well are rewarded

0:26:54.560 --> 0:26:57.480
<v Speaker 10>for that, and people who aren't we get off the team.

0:26:57.520 --> 0:26:59.119
<v Speaker 10>That doesn't mean that they're bad people. They might be

0:26:59.160 --> 0:27:01.399
<v Speaker 10>great employees or else, but they may just not be

0:27:01.440 --> 0:27:03.360
<v Speaker 10>the right fit for us. And what I'm encouraged by

0:27:03.880 --> 0:27:05.880
<v Speaker 10>is that, you know, last year, we had over one

0:27:05.920 --> 0:27:09.200
<v Speaker 10>point two million people apply to work for cloud Flip

0:27:09.240 --> 0:27:12.200
<v Speaker 10>for about a thousand jobs that we hired for. We're

0:27:12.320 --> 0:27:15.040
<v Speaker 10>way ahead of that trend through Q one of this

0:27:15.119 --> 0:27:18.080
<v Speaker 10>year with a record number of applicants. We've never seen

0:27:18.080 --> 0:27:21.080
<v Speaker 10>as many applicants, and so they're incredibly talented people who

0:27:21.119 --> 0:27:23.920
<v Speaker 10>want to come work hard and deliver on the mission

0:27:24.200 --> 0:27:27.399
<v Speaker 10>of helping build a better Internet, including delivering things like

0:27:27.440 --> 0:27:31.440
<v Speaker 10>our partnership with Hugging Face and the AI platform workers AI.

0:27:31.760 --> 0:27:35.720
<v Speaker 3>Okay, Cloud Fair CEO Matthew Prince. I appreciate the candor

0:27:35.760 --> 0:27:38.560
<v Speaker 3>on the question that Caroline asked because on social media that.

0:27:38.960 --> 0:27:40.040
<v Speaker 5>Was widely shared.

0:27:40.400 --> 0:27:43.720
<v Speaker 3>But also you're doing something that I think we learned

0:27:43.720 --> 0:27:46.439
<v Speaker 3>a lot about yesterday at Bloomberg Intelligence is AI Summit

0:27:46.880 --> 0:27:49.320
<v Speaker 3>partnerships to add a new layer of AI access on

0:27:49.359 --> 0:27:50.600
<v Speaker 3>top of cloud infrastructure.

0:27:50.640 --> 0:27:53.560
<v Speaker 5>That seems to be thing. Matthew Frintz, thank you so much. Okay.

0:27:54.080 --> 0:27:56.919
<v Speaker 3>US and EU officials were in Louven, Belgium for the

0:27:56.960 --> 0:28:01.760
<v Speaker 3>final Trade and Technology Council ministerial meet before elections on

0:28:01.840 --> 0:28:05.040
<v Speaker 3>both sides of the Atlantic. The Council, which is responsible

0:28:05.080 --> 0:28:09.840
<v Speaker 3>for coordinating US and European tech regulation efforts, is working

0:28:09.880 --> 0:28:12.720
<v Speaker 3>to set AI standards and to figure out how the

0:28:12.760 --> 0:28:17.200
<v Speaker 3>two blocks can collaborate. Here's European Commission Executive Vice President

0:28:17.400 --> 0:28:19.680
<v Speaker 3>Margaret ta BESTDAYA.

0:28:19.840 --> 0:28:22.520
<v Speaker 12>When it comes to AI, we have had an agreed

0:28:22.560 --> 0:28:25.560
<v Speaker 12>approach from the very first day, and I think that

0:28:25.600 --> 0:28:29.199
<v Speaker 12>the likelihood that that would produce artificial intelligence that you

0:28:29.240 --> 0:28:34.880
<v Speaker 12>can trust is so much bigger because artificial intelligence hold

0:28:35.160 --> 0:28:40.160
<v Speaker 12>immense promise if the negative sides can be controlled.

0:28:41.480 --> 0:28:44.520
<v Speaker 2>Yes, and Meanwhile, the two sides also announced a new

0:28:44.600 --> 0:28:48.640
<v Speaker 2>dialogue between the USAI Safety Institute and the EU's AI

0:28:48.720 --> 0:28:52.200
<v Speaker 2>Office that will explore tools and methods for evaluating technologies.

0:28:52.320 --> 0:28:54.560
<v Speaker 2>Now here's the US Secretary of Commerce, Gina Romando.

0:28:55.680 --> 0:29:00.120
<v Speaker 13>AI is changing the game again for everything and and

0:29:00.640 --> 0:29:05.920
<v Speaker 13>AI collaboration between Theater Office and our Safety Institute is strong,

0:29:06.000 --> 0:29:08.720
<v Speaker 13>will get stronger, all led by the TTC.

0:29:16.480 --> 0:29:19.720
<v Speaker 3>There gonna be some more changes at Twilio. Spurred by

0:29:19.760 --> 0:29:24.000
<v Speaker 3>pressure from activist investors, a software company is asking shareholders

0:29:24.120 --> 0:29:28.040
<v Speaker 3>to change its board director terms to one year, down

0:29:28.320 --> 0:29:30.920
<v Speaker 3>from three, beginning in twenty twenty five. The company also

0:29:30.960 --> 0:29:35.000
<v Speaker 3>announced that Byron Dieter, directors since twenty ten, will not

0:29:35.160 --> 0:29:38.480
<v Speaker 3>seek reelection at its upcoming annual investor meeting, and the

0:29:38.560 --> 0:29:41.520
<v Speaker 3>board is going to be reduced to nine members from

0:29:41.680 --> 0:29:44.760
<v Speaker 3>ten upon the end of his term. There's one man

0:29:44.800 --> 0:29:48.280
<v Speaker 3>to talk to Bloomberg's Brody Ford. I actually kind of

0:29:48.320 --> 0:29:52.360
<v Speaker 3>don't get this. Is this Twilio playing defense because there's

0:29:52.400 --> 0:29:54.360
<v Speaker 3>a lingering threat, Like what's going on?

0:29:55.400 --> 0:29:58.480
<v Speaker 14>Yeah, I mean what this is is Twilios seeking to

0:29:58.600 --> 0:30:01.920
<v Speaker 14>avoid what happened with this, you know, a big public

0:30:02.520 --> 0:30:06.160
<v Speaker 14>dispute with activists investors where they're airing dirty laundry and

0:30:06.200 --> 0:30:09.160
<v Speaker 14>you have to go on Twitter and take out ads

0:30:09.200 --> 0:30:10.960
<v Speaker 14>to say, hey, vote for us, all vote for the

0:30:11.000 --> 0:30:14.600
<v Speaker 14>activist investors. What we're seeing here is a classic tale

0:30:14.640 --> 0:30:18.040
<v Speaker 14>where a high growth software company hit a wall, right,

0:30:18.200 --> 0:30:21.320
<v Speaker 14>They had their growth plummet all of a sudden, they

0:30:21.320 --> 0:30:24.720
<v Speaker 14>had to do layoffs. Their future seemed uncertain. What happens

0:30:24.840 --> 0:30:28.080
<v Speaker 14>activists investors show up, right. They have been agitating for

0:30:28.200 --> 0:30:30.280
<v Speaker 14>changes for a couple of months now, and we've seen

0:30:30.320 --> 0:30:32.880
<v Speaker 14>Twilio make a number of changes over the last couple

0:30:32.880 --> 0:30:36.400
<v Speaker 14>of months to keep these activists investors happy and to

0:30:36.520 --> 0:30:40.040
<v Speaker 14>prevent getting themselves into some kind of public proxy battle,

0:30:40.080 --> 0:30:42.200
<v Speaker 14>which very few people are willing to take on.

0:30:43.320 --> 0:30:44.120
<v Speaker 4>Proxy battles.

0:30:44.120 --> 0:30:45.640
<v Speaker 2>Is where it's at in the news flow right now

0:30:45.640 --> 0:30:47.960
<v Speaker 2>at the moment, Brody and I'm interested like this, of course,

0:30:48.040 --> 0:30:51.360
<v Speaker 2>comes after Jeff Lawson himself CEO, had.

0:30:51.240 --> 0:30:53.040
<v Speaker 4>To stand down amid all of this.

0:30:53.960 --> 0:30:57.960
<v Speaker 2>Is there now a viewpoint that ultimately the fundamentals of

0:30:58.000 --> 0:30:59.920
<v Speaker 2>the business will be changing and oft and swiftly enough.

0:31:01.240 --> 0:31:04.400
<v Speaker 14>Well, that's a great question, because we've seen some changes here.

0:31:04.440 --> 0:31:07.800
<v Speaker 14>As you mentioned, the well known founder CEO step down.

0:31:07.840 --> 0:31:10.600
<v Speaker 14>They've changed some of the board terms. And when board

0:31:10.680 --> 0:31:12.840
<v Speaker 14>terms are changed in this way where you can vote

0:31:12.880 --> 0:31:16.480
<v Speaker 14>somebody out each given year, what that means is, hey,

0:31:16.680 --> 0:31:20.000
<v Speaker 14>improve your business fundamentals, or we're coming back next year

0:31:20.040 --> 0:31:23.040
<v Speaker 14>and we can vote your slate of candidates out very easily.

0:31:23.600 --> 0:31:23.800
<v Speaker 11>Right.

0:31:23.920 --> 0:31:26.200
<v Speaker 14>We saw a statement yesterday from one of the activist

0:31:26.320 --> 0:31:29.440
<v Speaker 14>investors saying we will continue to put pressure on this business.

0:31:29.760 --> 0:31:32.680
<v Speaker 14>And keep in mind, these activists were hoping that Blia

0:31:32.760 --> 0:31:35.800
<v Speaker 14>would sell itself, they were hoping that it would divest things.

0:31:35.880 --> 0:31:38.160
<v Speaker 14>I think they were hoping for more draftic changes than

0:31:38.200 --> 0:31:40.720
<v Speaker 14>we saw. So you know the odds that we see

0:31:40.720 --> 0:31:44.400
<v Speaker 14>some red headlines coming out about Twilio further, very.

0:31:44.240 --> 0:31:47.720
<v Speaker 2>Possible, pretty forward, Always a joy, Thank you very much.

0:31:47.760 --> 0:31:51.200
<v Speaker 4>Indeed. Meanwhile, Wow, thick and fast from the headline front.

0:31:51.120 --> 0:31:52.400
<v Speaker 5>D Yeah, incredible, Friday.

0:31:52.520 --> 0:31:54.840
<v Speaker 3>That does it for this addition of room bow technology,

0:31:54.840 --> 0:31:56.280
<v Speaker 3>You're going to have to recap the whole episode to

0:31:56.320 --> 0:31:58.080
<v Speaker 3>understand what happened on the pod.

0:31:58.520 --> 0:32:01.080
<v Speaker 5>What a week here with you in Ny. This is

0:32:01.080 --> 0:32:05.160
<v Speaker 5>Bloomberg