WEBVTT - AI Funding Frenzy Continues with Cursor, Thinking Machines 

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

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

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<v Speaker 1>and Eva low in sentrancs go.

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<v Speaker 2>This is Bloomberg Tech, Coming up Tech socks, whip saws,

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<v Speaker 2>Skepticism grows about the FED being able to cut interest rates.

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<v Speaker 3>In December plus Thinking Machines, the AI startup founded by

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<v Speaker 3>former Open Ai exec Mir Marati, is in talks to

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<v Speaker 3>raise funding at fifty billion dollar valuation.

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<v Speaker 2>And we sit down with the CEO of Cursor after

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<v Speaker 2>it raised two point three billion dollars in a funding

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<v Speaker 2>valuing the company twenty nine point three billion dollars.

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<v Speaker 3>Carter massive private sector funding valuations. But let's get to

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<v Speaker 3>the public sector, because we are being whip sored on

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<v Speaker 3>the day.

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<v Speaker 4>That we are flat if you're going your five day stretch.

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<v Speaker 3>The NASNAC is currently flat as a pancake, as we

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<v Speaker 3>might say over in the UK. But at the moment,

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<v Speaker 3>we are still seeing this questioning, question of valuations, questioning

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<v Speaker 3>of sustainability of CAPEC spend from the big AI players,

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<v Speaker 3>question of what the Federal Reserve does next. So we

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<v Speaker 3>dig into key assets that see volatility this week but

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<v Speaker 3>I'm looking at Crypto has been in the eye of

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<v Speaker 3>the form. We're off by seven percent, let's call it.

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<v Speaker 4>On Bitcoin.

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<v Speaker 3>More broadly, we're seeing a lot of pullback in terms

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<v Speaker 3>of the ETF buying. We see another more than eight

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<v Speaker 3>hundred million dollars washed out in terms of outflows from

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<v Speaker 3>those ETF products.

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<v Speaker 2>D The mood music of the market has changed this

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<v Speaker 2>Friday in the context of technology best laid plans. I

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<v Speaker 2>was going to tell you that Tesla and n Video

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<v Speaker 2>was two of the biggest decliners. Actually both now positive territory,

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<v Speaker 2>but over the course of the week, probably in Video

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<v Speaker 2>more than any other, has had volatility, starting the week

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<v Speaker 2>with a really big jump, then declining on news flow

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<v Speaker 2>actually an aggregate over the course of the week, it's

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<v Speaker 2>basically flat. But then there's the Super Bowl next week

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<v Speaker 2>with its earnings. Are we really talking about the FED

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<v Speaker 2>or are we really talking about an AI bubble and valuations?

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<v Speaker 5>Probably both at this point.

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<v Speaker 3>Character Yeah, and let's get to both of those key

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<v Speaker 3>elements we want to dissect. Blueing b TV Markets correspondent

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<v Speaker 3>Norah Melinda is here to really break down what felt

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<v Speaker 3>like the start of the day of a risk of rally.

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<v Speaker 3>The risk off is still there in crypto, but we're

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<v Speaker 3>really getting whip sored in the stock market.

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<v Speaker 6>We're seeing a lot of whip song in the market

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<v Speaker 6>and a lot of conversation here about a potential AI bubble.

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<v Speaker 6>But when you think about valuations from the S and

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<v Speaker 6>P five hundred more broadly, we haven't even seen a

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<v Speaker 6>five percent decline in the S and P five hundred

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<v Speaker 6>since April. So we do have folks over at Truer

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<v Speaker 6>Securities really talking about the fact that maybe this is

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<v Speaker 6>time for a correction because this is a longer period

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<v Speaker 6>than we've seen opposed to normal here, as we haven't

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<v Speaker 6>seen a correction here for the broader market.

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<v Speaker 2>Norah'm going to let you and the audience in on

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<v Speaker 2>a secret. I was going to take a vacation next week. Okay,

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<v Speaker 2>check my calendar. Super Bowl Wednesday. In video earnings. We've

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<v Speaker 2>got to talk about it and one of the reasons

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<v Speaker 2>it's great to having the program. Let's talk about it

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<v Speaker 2>through the lens of the options market and what that's

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<v Speaker 2>telling us about how they've looked at their calendars and

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<v Speaker 2>how they're preparing for that print.

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<v Speaker 6>Well, a lot of activity happening here in the options market,

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<v Speaker 6>as you mentioned in Vidia of course being the super

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<v Speaker 6>Bowl event for the market next Wednesday post market, but

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<v Speaker 6>we are seeing call options here on the vis what

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<v Speaker 6>strikes around sixty here and set to expire right before

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<v Speaker 6>the Nvidia earnings come out. So it really is showing

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<v Speaker 6>you a bit of a glimpse into the options market

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<v Speaker 6>and what that means is we think about volatility more

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<v Speaker 6>broadly and what that means for the broader market.

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<v Speaker 3>Someone's taking a bit of a holiday at least until

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<v Speaker 3>November the twenty fifth.

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<v Speaker 4>That's Michael Barry.

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<v Speaker 3>We understand a course, he's been winding down his sec

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<v Speaker 3>at least for Sion Asset Management, but he really sparked

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<v Speaker 3>off this whole narrative about how we assess assets and

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<v Speaker 3>ultimately the deterioration of them when it comes to GPS and.

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<v Speaker 6>Chips right, and he is talking about the fact that

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<v Speaker 6>potentially a lot of these tech companies are using it

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<v Speaker 6>to pad artificially their earnings here. So when we think

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<v Speaker 6>about tech companies and the fact that we do see

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<v Speaker 6>them flying high, we're seeing evaluations super intense here, We're

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<v Speaker 6>seeing them very high. It just really begs the question

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<v Speaker 6>more brobvious to whether or not these tech companies are

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<v Speaker 6>running further beyond what fundamentals will actually allow.

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<v Speaker 2>Invokes Nora Melinda with the tech market. Look, thank you

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<v Speaker 2>so much. Let's keep the discussion going and break down

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<v Speaker 2>the signals and the economy how they trickle into business.

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<v Speaker 2>Natalie Gallagher is principal economist and director at Board, an

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<v Speaker 2>AI powered enterprise planning platform providing macro analysis and strategic

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<v Speaker 2>guidance to global companies on business, investment and economic policy.

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<v Speaker 5>It's been a difficult week.

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<v Speaker 2>We planned this morning show with the narrative in the

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<v Speaker 2>market right now that this is about the FED and

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<v Speaker 2>what they will or won't do in December, but actually,

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<v Speaker 2>over the course of the week, it wasn't about that

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<v Speaker 2>at all. It was about valuations in an AI bubble

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<v Speaker 2>or not an AI bubble? What's the real driving force

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<v Speaker 2>right now? That's top of mind for the people you

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<v Speaker 2>speak to.

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<v Speaker 7>Yeah, you know, the debate has absolutely intensified when we

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<v Speaker 7>talk about are we in an AI bubble? And there's

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<v Speaker 7>really there's two sides to the story. On one side,

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<v Speaker 7>it doesn't appear to be as cut and dry as

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<v Speaker 7>maybe a repeat of the dot com bubble, and that's

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<v Speaker 7>because we have spending on real capital contracted services. We

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<v Speaker 7>also see profitability, right, We see revenue growth when we

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<v Speaker 7>look at enterprise planning, when we look at productivity tools, advertising,

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<v Speaker 7>and third and foremost, we also see that the hyperscalers

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<v Speaker 7>have some pretty resilient balance sheets to fall back on.

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<v Speaker 8>Now, there's absolutely risk right as we as.

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<v Speaker 7>We approach the potential for an AI bubble, but it's

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<v Speaker 7>not as cut and dry.

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<v Speaker 5>Let's try and link it to the Fed.

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<v Speaker 2>You know, why does it matter if the Fed does

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<v Speaker 2>or does not cut interest rates again in December?

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<v Speaker 7>Yeah, it matters extensively, especially for a sector like tech

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<v Speaker 7>because it's so rate sensitive. When we look at discounted

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<v Speaker 7>cash flows, we look at M and A activity. You know,

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<v Speaker 7>the Federal Reserve was already flying partially blind back in October.

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<v Speaker 7>Very likely data is going to continue to be delayed

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<v Speaker 7>or offset as we get into December, and.

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<v Speaker 8>So that elevates the risk of a flower Reserve.

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<v Speaker 7>Misstep that's going to have an outsized impact on tech.

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<v Speaker 3>What's having an outsized impact on the economy is AI investment.

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<v Speaker 3>In many ways, it's underlying why we see GDP growth.

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<v Speaker 3>But I've been speaking to CEOs of late and underneath

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<v Speaker 3>the hood, they're saying this economy is weak, and actually

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<v Speaker 3>we're seeing companies Verizon this week, Amazon earlier, they are

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<v Speaker 3>laying off tens of thousands of people in many ways

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<v Speaker 3>to try and right side their cost base. Natalie, what

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<v Speaker 3>are you actually hearing from the companies that leave right now?

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<v Speaker 5>Oh?

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<v Speaker 7>What I'm actually hearing is that there's really two sides

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<v Speaker 7>to the economy right now. Right it's regularly called a

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<v Speaker 7>K shaped economy.

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<v Speaker 8>So you're absolutely right.

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<v Speaker 7>We have AI valuations that are really driving business investment

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<v Speaker 7>and overall economic growth. R and D spending. For example,

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<v Speaker 7>it was up fifteen percent in Q two. That is

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<v Speaker 7>the highest it's been since the dot com era. Now,

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<v Speaker 7>when we talk about what's also sort of channeling economic growth,

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<v Speaker 7>those AI valuations, they're allowing higher income consumers to continue

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<v Speaker 7>to drive growth in the economy.

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<v Speaker 8>And that's why it's so important as.

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<v Speaker 7>We get into twenty twenty six, we really have to

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<v Speaker 7>talk about what does the tech sector look like and

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<v Speaker 7>what does AI look like in the next twelve months.

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<v Speaker 3>Now, Natalie, I'm going to ask more of a complex

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<v Speaker 3>one now, and I want your take just more broadly

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<v Speaker 3>on women's thinking about the AI bubble.

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<v Speaker 4>Michael Barry.

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<v Speaker 3>Many in the media have been talking about this depreciation

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<v Speaker 3>of certain assets. In particular, we're trying to work out

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<v Speaker 3>just how long an NVIDIAGPU lasts.

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<v Speaker 4>You has hit three.

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<v Speaker 3>Years, four years, five years, and the company is sort

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<v Speaker 3>of doing accounting wouldn't say tricks, but accounting changes to

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<v Speaker 3>try and understand how long these assets really last. From

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<v Speaker 3>your perspective, what is the asset that we should be analyzing,

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<v Speaker 3>What is the underlying accounting we should be keeping an

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<v Speaker 3>eye on, you.

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<v Speaker 8>Know, I would say even broader picture.

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<v Speaker 7>What we really need to track is the investment that's

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<v Speaker 7>been taking place right There's been a significant investment way

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<v Speaker 7>really across assets, and.

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<v Speaker 8>This is just part of the broader story.

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<v Speaker 7>What we're really going to need to see from an

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<v Speaker 7>eggnomic perspective, is this translate into meaningful productivity growth. If

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<v Speaker 7>we don't see that, then we risk a capital misallocation story.

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<v Speaker 2>Just a couple of minutes time, we're going to go

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<v Speaker 2>talk about applied materials the chip equipment maker, but that

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<v Speaker 2>story illustrates that Right now, there is still an issue

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<v Speaker 2>with tariffs and with China and with trade policy. How

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<v Speaker 2>is that impacting the global economy right now?

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<v Speaker 8>Right now?

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<v Speaker 7>You know, we saw an immediate de escalation when we

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<v Speaker 7>had the US China trade talks back in October, and

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<v Speaker 7>so that removed an immediate headwind, but it also introduced

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<v Speaker 7>a structural issue. Right we have an annual renegotiation.

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<v Speaker 8>Period for example.

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<v Speaker 7>Now, what that does in in broader sense, what tariffs

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<v Speaker 7>do is they create a situation where companies don't have

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<v Speaker 7>quite the forward guidance that they would like. Because we're

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<v Speaker 7>talking about investment cycles that are seven to ten years. Realistically,

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<v Speaker 7>we're getting about one year visibility and two overall prices.

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<v Speaker 3>We're about to get a bit of visibility next week

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<v Speaker 3>with our so called super when it comes to videas fundamentals.

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<v Speaker 4>But when you're.

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<v Speaker 3>Giving analysis, when you're thinking about strategic advice, do you

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<v Speaker 3>think the commitment to continue spending by big aipays is

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<v Speaker 3>there and is there globally at the moment, Natalie.

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<v Speaker 7>I absolutely think it continues to be have a lot

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<v Speaker 7>of weight behind it. Now, what I also see when

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<v Speaker 7>I look at the numbers is that there's been sort

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<v Speaker 7>of a clear shift in investment strategy towards evidence based

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<v Speaker 7>investment rather than just spending on faith alone.

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<v Speaker 9>You know, we.

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<v Speaker 7>Absolutely saw this with how investors responded to share prices

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<v Speaker 7>following the earnings release back in October.

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<v Speaker 3>It's been great having you come back to Natalie gallagha

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<v Speaker 3>As she's principal economist at Board.

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<v Speaker 4>We appreciate it. Look, it just teased us Apply Materials.

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<v Speaker 4>Let's go there.

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<v Speaker 3>I'm just going to flip on from Tesla and a

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<v Speaker 3>video and show you what's happening in Apply Materials Stop

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<v Speaker 3>right now, because we're off now only.

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<v Speaker 4>By three tenths of a percent.

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<v Speaker 3>This company was sinking as much as six percent at

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<v Speaker 3>the opening of trade. We will worried about the current

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<v Speaker 3>quarter sales that are suffering largely because of a decline

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<v Speaker 3>in Chinese business in particular that is a significant about

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<v Speaker 3>thirty percent, let's called it. Twenty nine percent of total

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<v Speaker 3>fourth quarter sales were from mainland China and they declined

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<v Speaker 3>some eight percent year on year. What are we thinking

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<v Speaker 3>about this fiscal year? Look, we've just been talking about

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<v Speaker 3>Taras and we know the outlook isn't great. But it's

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<v Speaker 3>interesting how much this stop wants to rebound, how much

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<v Speaker 3>the market wants to rebound, right now Yeah.

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<v Speaker 5>Coming up.

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<v Speaker 2>Former opai executive Mirror Marti's startup Thinking Machines Lab could

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<v Speaker 2>soon rank among the world's most valuable private companies. Give

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<v Speaker 2>you the latest in the funding talks. Next Sploomberg Tech.

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<v Speaker 3>Thinking machines Lab the AI startup founded by former open

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<v Speaker 3>ai executive Mirror Maurati. It could become one of the

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<v Speaker 3>most valuable private companies less than a year after I launched.

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<v Speaker 3>According to sources, the startup is in talks to raise

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<v Speaker 3>funding and a fifty billion dollar valuation, quadrupling its value

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<v Speaker 3>from July. Let's get more from Rachel Metz who worked

0:11:01.480 --> 0:11:03.600
<v Speaker 3>on this story. Well, their very own ed Ludlow and

0:11:03.600 --> 0:11:07.959
<v Speaker 3>shrin KAfari. Look is their fundamental growth? This is vindicating

0:11:08.160 --> 0:11:10.240
<v Speaker 3>this sort of fifty billion or is it on the

0:11:10.280 --> 0:11:13.320
<v Speaker 3>backing that she was there in such a leadership position

0:11:13.360 --> 0:11:14.120
<v Speaker 3>over at open Ai.

0:11:15.559 --> 0:11:18.200
<v Speaker 10>I mean, it's a very young company and they have

0:11:18.320 --> 0:11:21.800
<v Speaker 10>released a product, so it is possible that they're seeing

0:11:21.840 --> 0:11:24.400
<v Speaker 10>a lot of traction that they haven't spoken about publicly yet.

0:11:24.440 --> 0:11:27.680
<v Speaker 10>For their product, it's called Tinker and it helps people

0:11:27.720 --> 0:11:32.880
<v Speaker 10>and companies fine tune AI systems. But it's not clear

0:11:33.200 --> 0:11:35.520
<v Speaker 10>how much growth they could actually have right if they've

0:11:35.520 --> 0:11:37.280
<v Speaker 10>been around for less than a year, so it's pretty

0:11:37.320 --> 0:11:39.320
<v Speaker 10>tremendous so that they'd be in tox with this kind

0:11:39.360 --> 0:11:40.280
<v Speaker 10>of money and valuation.

0:11:41.200 --> 0:11:44.200
<v Speaker 2>When we broke the story, people on social media kind

0:11:44.240 --> 0:11:46.080
<v Speaker 2>of blew up and they were saying, oh, that would

0:11:46.120 --> 0:11:49.320
<v Speaker 2>be twenty five billion dollars per blog post because the

0:11:49.360 --> 0:11:50.600
<v Speaker 2>company has only ever done.

0:11:50.480 --> 0:11:51.679
<v Speaker 5>Two blog posts.

0:11:51.880 --> 0:11:53.600
<v Speaker 2>But what we did get the sense that this is

0:11:53.679 --> 0:11:57.560
<v Speaker 2>Mira Marati right, that she is out there talking to

0:11:57.600 --> 0:11:58.520
<v Speaker 2>investors about this.

0:11:58.640 --> 0:11:59.080
<v Speaker 5>It's her.

0:11:59.240 --> 0:12:01.920
<v Speaker 2>She's the face of that explained to our audience who

0:12:01.960 --> 0:12:06.480
<v Speaker 2>she is, why she's important, and I guess the intellectual

0:12:06.559 --> 0:12:09.240
<v Speaker 2>capital that she gives that place.

0:12:10.360 --> 0:12:10.680
<v Speaker 11>Sure.

0:12:10.800 --> 0:12:13.600
<v Speaker 10>So Murti has been in the tech industry for a

0:12:13.600 --> 0:12:17.080
<v Speaker 10>long time. She has been an Open AI or had

0:12:17.120 --> 0:12:19.080
<v Speaker 10>been an Open AI for a number of years and

0:12:19.320 --> 0:12:22.560
<v Speaker 10>was an executive there. So she was at the company

0:12:23.040 --> 0:12:27.920
<v Speaker 10>through before things sort of like exploded with the brief

0:12:27.960 --> 0:12:30.360
<v Speaker 10>ousting and rehiring of Sam Altman. In fact, she was

0:12:30.520 --> 0:12:35.040
<v Speaker 10>very very briefly named CEO during that whole debacle. So

0:12:35.600 --> 0:12:38.440
<v Speaker 10>she has a lot of experience dealing with crisis and

0:12:38.480 --> 0:12:41.360
<v Speaker 10>also with a company that's grown very very quickly in

0:12:41.480 --> 0:12:45.160
<v Speaker 10>AI and she has attracted a tremendous roster of talent

0:12:45.360 --> 0:12:46.400
<v Speaker 10>at this company.

0:12:46.080 --> 0:12:49.480
<v Speaker 3>Thinking, yeah, dig into that talent, Rachel, because she actually

0:12:49.760 --> 0:12:52.959
<v Speaker 3>drew over with her an awful lot of ex Open AI, well,

0:12:52.960 --> 0:12:54.760
<v Speaker 3>actual co founders going with her.

0:12:55.840 --> 0:13:00.240
<v Speaker 10>Absolutely, yes, quite a number of early employees. She has

0:13:00.760 --> 0:13:03.280
<v Speaker 10>co founded. One of the co founding employees over there,

0:13:03.800 --> 0:13:08.520
<v Speaker 10>John Shulman, with her. And also there are people advising

0:13:08.559 --> 0:13:10.720
<v Speaker 10>the company that used to work at OPENINGI. So it's

0:13:10.760 --> 0:13:13.760
<v Speaker 10>a very deep bench of experience from that company, but

0:13:13.800 --> 0:13:17.400
<v Speaker 10>also from other companies as well. But open Ai in particular,

0:13:17.840 --> 0:13:20.280
<v Speaker 10>there was a quite an exodus of talent from that

0:13:20.400 --> 0:13:21.520
<v Speaker 10>company to her company.

0:13:22.280 --> 0:13:24.440
<v Speaker 2>And again, the reason this is extraordinary it was only

0:13:24.480 --> 0:13:27.640
<v Speaker 2>February that they kind of came into existence publicly. July

0:13:27.920 --> 0:13:31.840
<v Speaker 2>raised at a twelve billion dollar valuation. Now November talks

0:13:31.840 --> 0:13:35.320
<v Speaker 2>for fifty billion dollar valuation, maybe more. Bloomberg's Rachel match,

0:13:35.400 --> 0:13:38.480
<v Speaker 2>thank you very much. Turning to media paramount, Netflix and

0:13:38.520 --> 0:13:43.520
<v Speaker 2>Comcast are eyeing potential bids for Warner Brothers Discovery. Meanwhile,

0:13:43.559 --> 0:13:47.960
<v Speaker 2>the company has amended CEO David Zaslav's contract to secure

0:13:48.000 --> 0:13:50.440
<v Speaker 2>his pay in the event of a sale. For more,

0:13:50.679 --> 0:13:53.240
<v Speaker 2>let's bring in Bloomberg's Felix Gillette who joins us. Now

0:13:53.360 --> 0:13:56.839
<v Speaker 2>there's a deadline to this, the bid part, and so

0:13:57.040 --> 0:14:01.079
<v Speaker 2>there's some mechanics to why Warner Brothers Discovery took this step.

0:14:02.280 --> 0:14:02.600
<v Speaker 5>Yeah.

0:14:02.720 --> 0:14:04.920
<v Speaker 12>I mean, now we know that the deadline for the

0:14:04.920 --> 0:14:08.679
<v Speaker 12>first bids is a week from yesterday, November twentieth, So

0:14:08.720 --> 0:14:11.160
<v Speaker 12>that's coming up fast. And I think this is another

0:14:11.200 --> 0:14:14.920
<v Speaker 12>signal that, you know, big transaction potentially could be coming

0:14:14.920 --> 0:14:17.400
<v Speaker 12>down the pipeline sooner rather than later. You know, they

0:14:17.480 --> 0:14:22.840
<v Speaker 12>changed Thatslov's compensation package to account for all these different possibilities,

0:14:23.640 --> 0:14:25.560
<v Speaker 12>you know, whether it's a sale of the whole company,

0:14:25.600 --> 0:14:28.800
<v Speaker 12>whether it's a partial sale, or potentially if there is

0:14:28.840 --> 0:14:31.840
<v Speaker 12>no sale and the company goes through with its planned

0:14:32.120 --> 0:14:35.520
<v Speaker 12>original plant spin off of the you know, the cable

0:14:35.560 --> 0:14:38.320
<v Speaker 12>networks from the studio and streaming business next year.

0:14:38.480 --> 0:14:40.880
<v Speaker 3>It's interesting. Now that's a reverse spin off. Initially it

0:14:40.960 --> 0:14:42.800
<v Speaker 3>was going to be Warner Brothers. It was spun off.

0:14:42.840 --> 0:14:44.640
<v Speaker 4>The actual bit of.

0:14:44.640 --> 0:14:47.880
<v Speaker 3>Movies and the magic and the streaming and cables were

0:14:47.880 --> 0:14:50.200
<v Speaker 3>going to be left with Discovery Global, and now it's

0:14:50.200 --> 0:14:53.520
<v Speaker 3>the other way around. But whatever the case, Detasazlov's saying

0:14:53.680 --> 0:14:57.560
<v Speaker 3>I'm committed until twenty thirty. Unless he's been he you know,

0:14:57.720 --> 0:14:59.480
<v Speaker 3>has to leave because the company is bought.

0:14:59.600 --> 0:15:01.280
<v Speaker 4>From your perspective, you're hearing more that.

0:15:01.480 --> 0:15:04.520
<v Speaker 3>The insiders would like it as a whole sold, or

0:15:04.520 --> 0:15:07.720
<v Speaker 3>would they like it sold for parts into different players.

0:15:08.360 --> 0:15:09.600
<v Speaker 5>Depends on who the bidder is.

0:15:09.640 --> 0:15:13.920
<v Speaker 12>I mean, Paramount Skydance clearly wants the whole thing. They're

0:15:13.920 --> 0:15:16.240
<v Speaker 12>happy to take the cable networks that would fit in

0:15:16.280 --> 0:15:19.640
<v Speaker 12>with their portfolio and give them additional scale. But if

0:15:19.680 --> 0:15:21.760
<v Speaker 12>you're talking about Netflix, they have no interest in the

0:15:21.800 --> 0:15:25.560
<v Speaker 12>cable networks. They just want, you know, the studio's business,

0:15:25.600 --> 0:15:29.960
<v Speaker 12>the library, the HBO Max side of things. Comcast you

0:15:30.000 --> 0:15:33.280
<v Speaker 12>could see maybe going either way, but really they want

0:15:33.320 --> 0:15:37.880
<v Speaker 12>the studio, the library in terms of scale, getting their

0:15:37.920 --> 0:15:40.800
<v Speaker 12>streaming business. Peacock, I think they're worried that if they

0:15:40.800 --> 0:15:43.320
<v Speaker 12>don't do a big transaction like this, you know, it's

0:15:43.320 --> 0:15:45.360
<v Speaker 12>going to be very difficult to keep up with Netflix

0:15:45.400 --> 0:15:46.680
<v Speaker 12>and Amazon the years ahead.

0:15:47.720 --> 0:15:50.560
<v Speaker 2>Fish, you've already answered this, but let's leave our audience

0:15:50.600 --> 0:15:53.200
<v Speaker 2>with the what we know, So explain just very quickly

0:15:53.240 --> 0:15:55.960
<v Speaker 2>again the deadline and where we think these bids stand.

0:15:56.800 --> 0:15:59.320
<v Speaker 12>Yeah, the deadline for the first bids is a week

0:15:59.680 --> 0:16:03.280
<v Speaker 12>from yesterday, Thursday, November twentieth. We think these three companies

0:16:03.280 --> 0:16:06.560
<v Speaker 12>are going to submit bids, and you know, the Warner

0:16:06.600 --> 0:16:09.040
<v Speaker 12>Brothers Discovery is saying that they're hoping to get this

0:16:09.240 --> 0:16:11.240
<v Speaker 12>decided one way or the other by the end of

0:16:11.240 --> 0:16:13.640
<v Speaker 12>the year. So we at least now have a very

0:16:13.680 --> 0:16:16.080
<v Speaker 12>concrete timeline for how they're going to deal.

0:16:15.920 --> 0:16:16.400
<v Speaker 11>With these bids.

0:16:16.440 --> 0:16:19.440
<v Speaker 12>They've been out there meeting with the bidders, you know,

0:16:19.520 --> 0:16:23.440
<v Speaker 12>presenting their financials, going through the library and plans.

0:16:24.320 --> 0:16:26.600
<v Speaker 5>So this has happened quick.

0:16:26.440 --> 0:16:31.000
<v Speaker 3>Now seemingly a fifty eight billion dollar offer from Paramount's

0:16:31.000 --> 0:16:34.800
<v Speaker 3>guidance is not enough. Bloomberg's Felix Jellette. We appreciate you

0:16:34.840 --> 0:16:43.080
<v Speaker 3>breaking it down Chinese e commerce platforms. They saw strong

0:16:43.160 --> 0:16:46.920
<v Speaker 3>sales during the country's month long shoppings event Singles Day

0:16:47.240 --> 0:16:50.080
<v Speaker 3>now an AI integration emerged as a major growth driver

0:16:50.160 --> 0:16:52.080
<v Speaker 3>of that. Let's peak with Jacob Cook, his co founder,

0:16:52.080 --> 0:16:55.720
<v Speaker 3>a CEO of wpic So Marketing and Technologies, which helps

0:16:55.760 --> 0:17:00.240
<v Speaker 3>global brands expand their reach in Asia, and boy have

0:17:00.320 --> 0:17:03.720
<v Speaker 3>we seen the reach of Singles Day into weeks into months.

0:17:03.960 --> 0:17:05.480
<v Speaker 4>But all the numbers actually good.

0:17:05.400 --> 0:17:08.240
<v Speaker 3>When you take into well the idea that it is

0:17:08.280 --> 0:17:10.040
<v Speaker 3>longer than on previous times.

0:17:10.640 --> 0:17:12.560
<v Speaker 11>Yeah, we did a like for light comparison.

0:17:12.640 --> 0:17:15.360
<v Speaker 13>We think it's about fourteen point eight percent up over

0:17:15.440 --> 0:17:17.639
<v Speaker 13>last year, which is actually much better than expected. We

0:17:17.640 --> 0:17:20.640
<v Speaker 13>think this is the strongest one since twenty twenty one,

0:17:20.880 --> 0:17:23.640
<v Speaker 13>and that's they ran a week earlier and a couple

0:17:23.680 --> 0:17:26.360
<v Speaker 13>of days later. But even taking that into account, we're

0:17:26.400 --> 0:17:28.840
<v Speaker 13>pretty optimistic at the Chinese consumer right now.

0:17:29.840 --> 0:17:32.000
<v Speaker 4>Okay, where is the Chinese consumer right now?

0:17:32.840 --> 0:17:34.840
<v Speaker 11>Well, middle class growth was pretty good.

0:17:35.240 --> 0:17:37.480
<v Speaker 13>You know, Ali Bob is now reporting numbers, especially with

0:17:37.520 --> 0:17:41.239
<v Speaker 13>their eighty eight VIP program that's also really strong and

0:17:41.240 --> 0:17:44.879
<v Speaker 13>that's focused on a more upscale consumer. They're reporting thirty

0:17:44.920 --> 0:17:48.200
<v Speaker 13>percent up in that particular category, so.

0:17:48.240 --> 0:17:49.000
<v Speaker 11>That's pretty good.

0:17:49.200 --> 0:17:51.760
<v Speaker 13>Middle class consumers are what people have been worried about

0:17:51.760 --> 0:17:53.800
<v Speaker 13>over the last couple of years. He has been pressure

0:17:53.800 --> 0:17:59.719
<v Speaker 13>and employment, so that really didn't play any consequences here

0:17:59.720 --> 0:18:01.679
<v Speaker 13>For this eleven eleven it was great. You know, we're

0:18:01.720 --> 0:18:04.480
<v Speaker 13>seeing close to fifteen percent growth year over year, which

0:18:04.480 --> 0:18:06.199
<v Speaker 13>is already the largest shopping festival.

0:18:06.240 --> 0:18:08.000
<v Speaker 11>So these numbers are pretty optimistic.

0:18:09.560 --> 0:18:11.440
<v Speaker 2>But we're in a position where we can look at

0:18:11.480 --> 0:18:14.560
<v Speaker 2>all of the Chinese technology companies that participate in this

0:18:15.040 --> 0:18:19.960
<v Speaker 2>and say this specific company one they are ahead. Ali

0:18:20.000 --> 0:18:22.479
<v Speaker 2>Baba is the one I'm thinking about most because in

0:18:22.520 --> 0:18:25.160
<v Speaker 2>early October the shares hit I think, the highest level

0:18:25.240 --> 0:18:28.200
<v Speaker 2>since twenty twenty one. But there's no sort of tangible

0:18:28.240 --> 0:18:31.359
<v Speaker 2>evidence that any one company, at least from what I

0:18:31.359 --> 0:18:34.119
<v Speaker 2>can see on the Bloomberg terminal, did any better or

0:18:34.160 --> 0:18:38.400
<v Speaker 2>AI made any more impact than any other in this period.

0:18:39.760 --> 0:18:40.960
<v Speaker 11>Yeah, it's interesting.

0:18:41.000 --> 0:18:44.399
<v Speaker 13>I think for sure the destination platforms as opposed to

0:18:44.400 --> 0:18:46.440
<v Speaker 13>the social commerce platforms did better here.

0:18:46.520 --> 0:18:48.159
<v Speaker 11>So let's JD that's Ali.

0:18:47.880 --> 0:18:51.200
<v Speaker 13>Baba there definitely we think much stronger growth than the

0:18:51.280 --> 0:18:53.200
<v Speaker 13>Doyan or red node platforms.

0:18:54.000 --> 0:18:55.680
<v Speaker 11>But AAR really did.

0:18:55.720 --> 0:18:58.919
<v Speaker 13>I mean, the business advisor that Ali Baba released is

0:18:59.280 --> 0:19:02.880
<v Speaker 13>quite effective. You know, it made things a lot more efficient.

0:19:03.119 --> 0:19:06.199
<v Speaker 13>Despite that growth of fourteen point eight percent that we

0:19:06.280 --> 0:19:09.000
<v Speaker 13>think they came in at, you know, ad spend growth

0:19:09.040 --> 0:19:11.320
<v Speaker 13>was much lower than that, which means that acquisition costs

0:19:11.320 --> 0:19:13.439
<v Speaker 13>have come down. And Ali Baba is really making it

0:19:13.480 --> 0:19:16.240
<v Speaker 13>more efficient to find your customers. And I think what's

0:19:16.280 --> 0:19:18.000
<v Speaker 13>going to happen as a result of that is we're

0:19:18.000 --> 0:19:19.879
<v Speaker 13>going to see a lot more ad shift maybe away

0:19:19.920 --> 0:19:23.360
<v Speaker 13>from the doin and tiktoks next year into Ali Baba platform,

0:19:23.359 --> 0:19:25.240
<v Speaker 13>I think, which is going to further drive that growth.

0:19:26.240 --> 0:19:28.520
<v Speaker 2>Jacob, what did you learn about the health of the

0:19:28.640 --> 0:19:29.480
<v Speaker 2>Chinese economy?

0:19:31.000 --> 0:19:33.040
<v Speaker 13>You know, this came in better than expected for us

0:19:33.040 --> 0:19:36.960
<v Speaker 13>too as well. You know, so we see really solid

0:19:37.200 --> 0:19:40.439
<v Speaker 13>growth and we've seen this what we looked at. We

0:19:40.480 --> 0:19:43.200
<v Speaker 13>saw labor pressure also picking up in terms of salaries

0:19:43.920 --> 0:19:46.440
<v Speaker 13>and the amount of household income recently. So this wasn't

0:19:46.480 --> 0:19:49.920
<v Speaker 13>totally unexpected. But I think if there was any apprehension

0:19:49.920 --> 0:19:52.560
<v Speaker 13>about the stability of that middle class consumer or upper

0:19:52.600 --> 0:19:54.680
<v Speaker 13>class consumer, I think that should be over and I

0:19:54.680 --> 0:19:57.119
<v Speaker 13>think we're putting into a really good twenty twenty six

0:19:57.880 --> 0:19:59.919
<v Speaker 13>in terms of the story about the Chinese consumption.

0:20:00.400 --> 0:20:02.119
<v Speaker 3>I mean, the government's been there to prop it up.

0:20:02.160 --> 0:20:04.520
<v Speaker 3>There's been subsidies so many ways. People would say that

0:20:04.560 --> 0:20:06.960
<v Speaker 3>they should be able to buy this moment, what is

0:20:07.040 --> 0:20:10.520
<v Speaker 3>it that they buy in terms of domestic brands versus

0:20:10.800 --> 0:20:13.080
<v Speaker 3>well the companies that you advise who are trying to

0:20:13.080 --> 0:20:14.040
<v Speaker 3>access Asia.

0:20:13.840 --> 0:20:14.399
<v Speaker 4>At this moment.

0:20:15.080 --> 0:20:16.760
<v Speaker 11>Yeah, I think it's all over the place. I mean

0:20:16.800 --> 0:20:17.840
<v Speaker 11>when we look at again.

0:20:17.680 --> 0:20:19.399
<v Speaker 13>When I was talking about the Ada Vip and we

0:20:19.400 --> 0:20:21.440
<v Speaker 13>look at that middle and upper class consumer, we would

0:20:21.480 --> 0:20:23.760
<v Speaker 13>see a lot more of the important products consumed by

0:20:23.760 --> 0:20:26.600
<v Speaker 13>that demographic. So that's what's driving a lot of that

0:20:26.640 --> 0:20:29.679
<v Speaker 13>growth right now. But you know, I think that a

0:20:29.680 --> 0:20:34.120
<v Speaker 13>lot of the local brands, especially you know, mainly TikTok

0:20:34.160 --> 0:20:37.280
<v Speaker 13>and Dillion focused a little bit more price conscious. But

0:20:37.359 --> 0:20:40.520
<v Speaker 13>I think what happened again, you know Ali Baba's business advisor.

0:20:41.200 --> 0:20:43.280
<v Speaker 13>You know, we expected, you know, in terms of the

0:20:43.280 --> 0:20:47.000
<v Speaker 13>price recommendations, to drive pricing down. We thought that was

0:20:47.000 --> 0:20:48.359
<v Speaker 13>what it was going to do, but we were actually

0:20:48.359 --> 0:20:51.399
<v Speaker 13>pleasantly surprised. In some cases it had actually recommended that

0:20:51.560 --> 0:20:53.520
<v Speaker 13>price has come up, which has been good for margins.

0:20:53.720 --> 0:20:56.080
<v Speaker 13>So I think all of those factors, you know, put

0:20:56.119 --> 0:20:58.520
<v Speaker 13>into place, I think foreign brands are going to be

0:20:58.560 --> 0:21:00.280
<v Speaker 13>a little bit more focused on that mark good for

0:21:00.320 --> 0:21:02.320
<v Speaker 13>next year seeing a little bit more margin growth and

0:21:02.640 --> 0:21:03.800
<v Speaker 13>top line revenue growth.

0:21:04.119 --> 0:21:06.720
<v Speaker 3>Steven Engel, our reporter over in Asia, did a beautiful

0:21:06.720 --> 0:21:09.560
<v Speaker 3>wrap up of like the ways in which they are

0:21:09.560 --> 0:21:13.520
<v Speaker 3>targeting using e commerce, social media and.

0:21:13.640 --> 0:21:15.280
<v Speaker 4>The influence of influencers.

0:21:15.640 --> 0:21:18.159
<v Speaker 3>But how are you seeing AI and some of the

0:21:18.520 --> 0:21:20.800
<v Speaker 3>ways in which technology are helping some of the brands

0:21:20.840 --> 0:21:23.040
<v Speaker 3>that you represent, well, I.

0:21:22.920 --> 0:21:25.520
<v Speaker 13>Think just from being on the ground, this year was

0:21:25.800 --> 0:21:28.000
<v Speaker 13>very efficient. I mean, you know, it did run for

0:21:28.040 --> 0:21:31.200
<v Speaker 13>a month, Sales were spread out different categories, which made

0:21:31.240 --> 0:21:34.119
<v Speaker 13>it really great to operate. I mean, if we go

0:21:34.240 --> 0:21:35.960
<v Speaker 13>back to ten years ago, is kind of bring your

0:21:36.000 --> 0:21:38.120
<v Speaker 13>toothbush and pillow to work because you were there twenty

0:21:38.160 --> 0:21:39.320
<v Speaker 13>four hours around the clock.

0:21:40.080 --> 0:21:40.480
<v Speaker 11>This year.

0:21:40.560 --> 0:21:43.480
<v Speaker 13>The preparations, the AI, just the assistance in general and

0:21:43.520 --> 0:21:46.919
<v Speaker 13>efficiencies really kind of made it great for operators and

0:21:46.960 --> 0:21:49.879
<v Speaker 13>it kind of reduced the stress level on people's operations.

0:21:49.920 --> 0:21:52.560
<v Speaker 13>So that was great and we'd expect that to continue

0:21:52.560 --> 0:21:53.320
<v Speaker 13>on into next year.

0:21:54.880 --> 0:22:00.800
<v Speaker 2>Jacob Cook, C of WPIC Marketing Technologies. You always on

0:22:00.880 --> 0:22:03.480
<v Speaker 2>the ground and then somewhere stunning like Vancouver.

0:22:03.960 --> 0:22:04.760
<v Speaker 5>How do you do that?

0:22:04.800 --> 0:22:08.680
<v Speaker 2>It's great to have you back on the show.

0:22:12.480 --> 0:22:14.120
<v Speaker 4>Welcome back to Bloomberg Tech.

0:22:14.200 --> 0:22:17.239
<v Speaker 3>Let's tech a check on these markets because we're all

0:22:17.280 --> 0:22:20.200
<v Speaker 3>over the place today. Look, we started much in the red.

0:22:20.240 --> 0:22:22.960
<v Speaker 3>We had anxiety building once again, tech valuations, what the

0:22:22.960 --> 0:22:25.080
<v Speaker 3>Federal Reserve might be able to do in December, what

0:22:25.280 --> 0:22:26.720
<v Speaker 3>economic data is going to tell us?

0:22:27.119 --> 0:22:28.479
<v Speaker 4>And then the rebound kicked off.

0:22:28.480 --> 0:22:30.679
<v Speaker 3>We're up four tenths of percent is Video and some

0:22:30.720 --> 0:22:34.360
<v Speaker 3>of the key other players, particularly Micron, Microsoft Broadcom, all

0:22:34.400 --> 0:22:36.280
<v Speaker 3>turn into the green. We're now up four tenths of

0:22:36.280 --> 0:22:38.639
<v Speaker 3>a percent, but on the week we're still under some pressure.

0:22:38.640 --> 0:22:41.080
<v Speaker 3>Bitcoins still hunt some pressure, well by six point six

0:22:41.119 --> 0:22:43.480
<v Speaker 3>percent over the course of the week, So we really

0:22:43.480 --> 0:22:45.480
<v Speaker 3>are seeing that that asset class is in the line

0:22:45.480 --> 0:22:47.600
<v Speaker 3>of fire. Even as the NASDAK bounces on this day

0:22:47.600 --> 0:22:49.560
<v Speaker 3>and helps draw it draw it to a weekly gain,

0:22:49.800 --> 0:22:53.520
<v Speaker 3>the bitcoin area does not. This therefore means that certain

0:22:53.560 --> 0:22:56.159
<v Speaker 3>stocks that are particular proxies to cryptos are having a

0:22:56.240 --> 0:22:58.639
<v Speaker 3>terrible time of it. Strategy off by fifteen percent. Look,

0:22:58.680 --> 0:23:00.639
<v Speaker 3>it was down as much as nine teen percent over

0:23:00.680 --> 0:23:03.359
<v Speaker 3>the course of the five days. In fact, its overall

0:23:03.400 --> 0:23:05.800
<v Speaker 3>valuation of the market cap of the company is now

0:23:06.200 --> 0:23:09.920
<v Speaker 3>somewhat below that of its overall bitcoin holdings. Right now,

0:23:09.960 --> 0:23:12.920
<v Speaker 3>so far has the sell off gone. We understand according

0:23:12.960 --> 0:23:16.520
<v Speaker 3>to other reporting that Michael Sailor's still buying bitcoin at

0:23:16.520 --> 0:23:17.600
<v Speaker 3>this particular moment they end.

0:23:18.480 --> 0:23:20.560
<v Speaker 2>There's a lot going on in private markets this week.

0:23:20.600 --> 0:23:22.919
<v Speaker 2>The name Cursor has been on the tip of the

0:23:22.960 --> 0:23:26.720
<v Speaker 2>tongue of big names across tech, including Sachi, Nadella and

0:23:26.840 --> 0:23:29.720
<v Speaker 2>Jensen Wang, and it's vibe coding software has been on

0:23:29.760 --> 0:23:32.200
<v Speaker 2>the tips of the fingers of employees at the likes

0:23:32.240 --> 0:23:36.479
<v Speaker 2>of Nvidia, Salesforce and PwC. Now the company has roughly

0:23:36.520 --> 0:23:40.000
<v Speaker 2>tripled its valuation in just a few months, raising two

0:23:40.000 --> 0:23:43.160
<v Speaker 2>point three billion dollars at a twenty nine point three

0:23:43.200 --> 0:23:48.440
<v Speaker 2>billion dollar valuation. Michael Tryll, Cursor CEO, joins us now

0:23:48.440 --> 0:23:52.000
<v Speaker 2>in San Francisco. Let's get the rounds out of the way,

0:23:52.119 --> 0:23:54.680
<v Speaker 2>because there is an awful lot to discuss about what

0:23:54.720 --> 0:23:57.639
<v Speaker 2>Cursor is doing and how Curse has been being used.

0:23:58.119 --> 0:24:01.040
<v Speaker 2>But my goodness, we've raised quite a lot of money

0:24:01.119 --> 0:24:03.000
<v Speaker 2>quite quickly from the last time we raised money at

0:24:03.000 --> 0:24:04.000
<v Speaker 2>a much higher evaluation.

0:24:04.640 --> 0:24:06.600
<v Speaker 5>Why and what does it mean to you?

0:24:07.240 --> 0:24:10.639
<v Speaker 9>Well, first, thank you for having me. We raise this

0:24:10.760 --> 0:24:14.320
<v Speaker 9>money to invest deeply in research. And we are this

0:24:14.440 --> 0:24:17.240
<v Speaker 9>company that's something in between a product company and then

0:24:17.280 --> 0:24:21.440
<v Speaker 9>also an AI and models company, and in parts it's

0:24:21.440 --> 0:24:23.760
<v Speaker 9>an important product lover for us to do our own

0:24:23.800 --> 0:24:26.879
<v Speaker 9>investment in product specific models and that's something we've been

0:24:26.880 --> 0:24:27.639
<v Speaker 9>doing for many years.

0:24:27.760 --> 0:24:29.200
<v Speaker 5>This lets us do that in a bigger way.

0:24:29.440 --> 0:24:33.199
<v Speaker 2>It's AI coding, and you know I was in Washington,

0:24:33.280 --> 0:24:36.720
<v Speaker 2>DC for GTCDC. Jensen one goes on stage and he

0:24:36.800 --> 0:24:41.399
<v Speaker 2>made a very pointed remark that software generally speaking, is

0:24:41.440 --> 0:24:44.159
<v Speaker 2>now worth paying for, and he used Cursor as the

0:24:44.200 --> 0:24:47.119
<v Speaker 2>case study. Would you actually talk us through the case study?

0:24:47.600 --> 0:24:50.200
<v Speaker 2>Nvidia is a big company, It has many of its

0:24:50.200 --> 0:24:53.080
<v Speaker 2>own engineers. How are they using Cursor, what are they

0:24:53.160 --> 0:24:56.480
<v Speaker 2>using it for, and how are you charging them for it?

0:24:56.800 --> 0:24:58.760
<v Speaker 9>Well, we've been really happy to see not just the

0:24:59.040 --> 0:25:02.439
<v Speaker 9>accelerating demand in our market, but also the success in

0:25:02.480 --> 0:25:05.040
<v Speaker 9>our deployments with customers. There was actually a study that

0:25:05.080 --> 0:25:07.720
<v Speaker 9>came out recently that showed that customers after they switched

0:25:07.720 --> 0:25:11.640
<v Speaker 9>to our agent get forty percent more done and in.

0:25:11.560 --> 0:25:15.000
<v Speaker 2>The productivity reference for the engineered themselves, the workload that

0:25:15.040 --> 0:25:15.960
<v Speaker 2>they're trying to get through.

0:25:16.040 --> 0:25:19.000
<v Speaker 9>Yes, okay, it's looking at plor requests, merged and metrics

0:25:19.040 --> 0:25:22.240
<v Speaker 9>like that, but folks are seeing lots of success out

0:25:22.240 --> 0:25:25.280
<v Speaker 9>in the field. And so to Jensen's comment, the ROI

0:25:25.440 --> 0:25:28.680
<v Speaker 9>of buying the tool is just has been so high

0:25:28.680 --> 0:25:30.560
<v Speaker 9>for many of our customers, which makes us really happy.

0:25:31.040 --> 0:25:34.040
<v Speaker 9>And on the pricing front, there's two components. One is

0:25:34.040 --> 0:25:36.240
<v Speaker 9>a seat component where we look at usage, we look

0:25:36.240 --> 0:25:38.520
<v Speaker 9>at how many people are using Cursor every month within

0:25:38.560 --> 0:25:42.439
<v Speaker 9>an account, and then pricing matches that, and then if

0:25:42.440 --> 0:25:44.640
<v Speaker 9>folks are using the product in a really, really deep way,

0:25:44.680 --> 0:25:47.480
<v Speaker 9>there's also a usage component, similar to a data breaksource snowflake.

0:25:48.320 --> 0:25:52.280
<v Speaker 3>What's interesting is vibe coding was all the lexicon in

0:25:52.280 --> 0:25:54.639
<v Speaker 3>the past few months, and many people felt that it

0:25:54.720 --> 0:25:55.359
<v Speaker 3>was individual.

0:25:55.440 --> 0:25:57.480
<v Speaker 4>So paying the twenty dollars for a Cursor.

0:25:57.160 --> 0:26:00.240
<v Speaker 3>And really doing it and really feeling the power of

0:26:00.359 --> 0:26:04.359
<v Speaker 3>understanding and being able to prompt. How about now what

0:26:04.400 --> 0:26:07.160
<v Speaker 3>you call AI coding? Is this more of an enterprise play?

0:26:07.240 --> 0:26:09.280
<v Speaker 3>Is it more of a sit at home and play

0:26:09.320 --> 0:26:11.840
<v Speaker 3>at being a developer play?

0:26:11.920 --> 0:26:16.320
<v Speaker 9>We serve professional development teams and in particular professional engineers

0:26:16.520 --> 0:26:20.240
<v Speaker 9>or are ICP, and so when we use the term

0:26:20.280 --> 0:26:23.439
<v Speaker 9>A coding, it's to underline that we care. You know,

0:26:23.560 --> 0:26:26.840
<v Speaker 9>there are some folks that experiment with the tool for prototypes,

0:26:27.320 --> 0:26:29.920
<v Speaker 9>but the core use case, the reason the vast majority

0:26:30.000 --> 0:26:32.680
<v Speaker 9>of customers are using Cursor is to get real work

0:26:32.680 --> 0:26:35.360
<v Speaker 9>done in their real jobs, and that means shipping carefully

0:26:35.400 --> 0:26:37.880
<v Speaker 9>in professional codebases at the highest degree of quality.

0:26:38.840 --> 0:26:41.359
<v Speaker 4>We were just talking about all the CEOs of the

0:26:41.400 --> 0:26:43.480
<v Speaker 4>Magnificent seven and others who have.

0:26:43.480 --> 0:26:46.440
<v Speaker 3>Been using Cursor been talking about Cursor.

0:26:46.720 --> 0:26:48.639
<v Speaker 4>They must have been calling Cursor, Michael.

0:26:48.720 --> 0:26:51.600
<v Speaker 3>How many imbounds you're getting on companies wanting.

0:26:51.359 --> 0:26:52.359
<v Speaker 4>To buy you at this moment.

0:26:54.160 --> 0:26:59.000
<v Speaker 9>We've been really excited to see demand both across the

0:26:59.080 --> 0:27:01.720
<v Speaker 9>Mac seven out of seven of the mag seven actually

0:27:01.760 --> 0:27:04.200
<v Speaker 9>our customers, and we're really happy about that. But then

0:27:04.240 --> 0:27:07.160
<v Speaker 9>also staples of the real economy like Starbucks and PwC

0:27:07.359 --> 0:27:14.280
<v Speaker 9>and Hilton and Budweiser, and then many digital natives like Stripe, Adobe, Uber, Nvidia,

0:27:14.600 --> 0:27:15.280
<v Speaker 9>Shopify and.

0:27:15.240 --> 0:27:15.720
<v Speaker 5>Others like that.

0:27:16.080 --> 0:27:18.000
<v Speaker 4>I'm going to jump in there and just quickly because

0:27:18.040 --> 0:27:18.600
<v Speaker 4>so go for it.

0:27:18.680 --> 0:27:20.160
<v Speaker 5>Please. Yeah, you're not.

0:27:20.160 --> 0:27:23.000
<v Speaker 3>Answering exactly my question. Has anyone been trying to buy you?

0:27:25.200 --> 0:27:26.960
<v Speaker 5>I can't talk about things like that here.

0:27:27.520 --> 0:27:29.919
<v Speaker 2>You can talk about them here. Bloomberg Tech is the

0:27:29.960 --> 0:27:32.720
<v Speaker 2>right place for it. What you've been doing is shopping yourself.

0:27:33.000 --> 0:27:36.280
<v Speaker 2>Find that very interesting. You used M and A to

0:27:36.520 --> 0:27:43.600
<v Speaker 2>address your own talent requirements growth by Design. What was

0:27:43.640 --> 0:27:45.639
<v Speaker 2>behind that move and what was the problem you were

0:27:45.640 --> 0:27:47.679
<v Speaker 2>trying to solve for in doing that?

0:27:48.680 --> 0:27:52.119
<v Speaker 9>Growth by Design was a talent agency that we had

0:27:52.119 --> 0:27:54.560
<v Speaker 9>worked with for a long time, and the folks that

0:27:54.600 --> 0:27:57.240
<v Speaker 9>were running that business. We got to know over many

0:27:57.280 --> 0:28:00.760
<v Speaker 9>months working with them on building the team, respected recruiting

0:28:00.840 --> 0:28:03.920
<v Speaker 9>leaders in the industry, and we started talking with them

0:28:03.960 --> 0:28:05.679
<v Speaker 9>a few months ago about whether they would come in

0:28:05.720 --> 0:28:09.320
<v Speaker 9>house and join us to lead talent for us. And

0:28:09.359 --> 0:28:11.280
<v Speaker 9>this is a strategy that we've taken kind of across

0:28:11.320 --> 0:28:13.360
<v Speaker 9>the board, whether it be an R and D, go

0:28:13.400 --> 0:28:16.720
<v Speaker 9>to market, GNA. We look for the best people in

0:28:16.760 --> 0:28:20.680
<v Speaker 9>our industry and sometimes conveniently or inconveniently, they are running

0:28:20.680 --> 0:28:21.320
<v Speaker 9>their own companies.

0:28:22.000 --> 0:28:25.760
<v Speaker 3>What's so interesting is how fierce the talent fight has

0:28:25.800 --> 0:28:28.400
<v Speaker 3>been in many ways Michael taught to us about where

0:28:28.440 --> 0:28:31.000
<v Speaker 3>you are getting your talent from, how you're going to

0:28:31.040 --> 0:28:33.000
<v Speaker 3>see that growth by design is going to bring on

0:28:33.040 --> 0:28:35.040
<v Speaker 3>even more of the best people to work and build

0:28:35.080 --> 0:28:37.520
<v Speaker 3>your business.

0:28:37.560 --> 0:28:41.120
<v Speaker 9>Still, largely folks that join us we reach out to,

0:28:41.560 --> 0:28:47.480
<v Speaker 9>and that's through knowing past colleagues of theirs, and we

0:28:47.520 --> 0:28:48.520
<v Speaker 9>invite them to interview.

0:28:48.960 --> 0:28:50.920
<v Speaker 5>But more and more we're.

0:28:50.560 --> 0:28:53.400
<v Speaker 9>Scaling that and trying to diversify how we find folks,

0:28:54.240 --> 0:28:57.719
<v Speaker 9>and then we have a deep interview process where, for instance,

0:28:57.760 --> 0:29:00.320
<v Speaker 9>on the engineering side of things, we invite folks and

0:29:00.400 --> 0:29:02.680
<v Speaker 9>for two whole days to spend two days with us

0:29:02.680 --> 0:29:05.720
<v Speaker 9>going and turned on a project, and that's both giving

0:29:05.760 --> 0:29:07.800
<v Speaker 9>them lots of information on us as a company that

0:29:07.920 --> 0:29:10.160
<v Speaker 9>also gives us really great signal about whether they're going

0:29:10.200 --> 0:29:11.000
<v Speaker 9>to be affect when they join.

0:29:12.280 --> 0:29:15.640
<v Speaker 2>You've grown incredibly quickly, and you've joined us on this

0:29:15.680 --> 0:29:18.280
<v Speaker 2>program to explain how Cursor is being used in the

0:29:18.280 --> 0:29:21.959
<v Speaker 2>real world and generating real revenues. But if you had

0:29:21.960 --> 0:29:24.560
<v Speaker 2>to reflect honestly on what's still difficult for you and

0:29:24.640 --> 0:29:27.800
<v Speaker 2>curs and what some of the I guess barriers or

0:29:27.840 --> 0:29:31.880
<v Speaker 2>headwinds are to your industry or you specifically, what are they?

0:29:32.120 --> 0:29:33.600
<v Speaker 2>You know, what is it that you need to see

0:29:33.680 --> 0:29:36.760
<v Speaker 2>change right now? But we have a long product journey left.

0:29:37.680 --> 0:29:39.480
<v Speaker 9>We're addressed at the very start of how we think

0:29:39.560 --> 0:29:41.960
<v Speaker 9>building software and coding is going to change over the

0:29:41.960 --> 0:29:45.280
<v Speaker 9>course of the next few years. And I think it

0:29:45.320 --> 0:29:47.840
<v Speaker 9>can be really really easy for folks who are removed

0:29:47.840 --> 0:29:50.560
<v Speaker 9>from writing code all day to stay in touch with

0:29:50.760 --> 0:29:54.040
<v Speaker 9>just how far away we are from all of software changing.

0:29:54.480 --> 0:29:56.520
<v Speaker 9>And despite all of the change over the past few years,

0:29:56.720 --> 0:29:59.240
<v Speaker 9>there's still so much further to go. And so in particular,

0:29:59.240 --> 0:30:01.880
<v Speaker 9>we're very focused on making Cursor not just more productive

0:30:01.880 --> 0:30:05.320
<v Speaker 9>for individual engineers, but now helping teams broadly and helping

0:30:05.320 --> 0:30:06.840
<v Speaker 9>across the software development life cycle.

0:30:07.200 --> 0:30:12.200
<v Speaker 2>Those that we regard as leaders of industry have talked

0:30:12.240 --> 0:30:16.400
<v Speaker 2>about the AI displacement of jobs or not displacement of jobs,

0:30:16.400 --> 0:30:19.880
<v Speaker 2>and actually, as it relates to Cursor, you know, many

0:30:19.920 --> 0:30:22.280
<v Speaker 2>take the view that it's not AI that's going to

0:30:22.280 --> 0:30:25.200
<v Speaker 2>take your job, it's somebody that uses AI that's likely

0:30:25.280 --> 0:30:27.560
<v Speaker 2>to take your job, just through the lens of what

0:30:27.680 --> 0:30:31.200
<v Speaker 2>Cursor sees through his customers and internally, where do you

0:30:31.320 --> 0:30:32.240
<v Speaker 2>sit on that debate?

0:30:32.320 --> 0:30:35.480
<v Speaker 9>Michael, Definitely, in the data that we have, we don't

0:30:35.600 --> 0:30:39.440
<v Speaker 9>see that. We see the fold of who's participating in

0:30:39.440 --> 0:30:43.720
<v Speaker 9>the software development life cycle expanding, and that's more engineers

0:30:44.080 --> 0:30:48.360
<v Speaker 9>getting within the fold and growing seats within engineering accounts

0:30:48.400 --> 0:30:51.880
<v Speaker 9>and growing engineering teams. But that's also folks in support

0:30:51.960 --> 0:30:54.200
<v Speaker 9>or in design helping to do small changes within a

0:30:54.200 --> 0:30:55.240
<v Speaker 9>production code base too.

0:30:55.920 --> 0:30:58.360
<v Speaker 2>Michael Trueau, Cursor CEO, thank you very much for coming

0:30:58.400 --> 0:31:00.360
<v Speaker 2>back here on luvent Tech and SF what you.

0:31:00.320 --> 0:31:03.400
<v Speaker 3>Got fascinating conversation, But now it's time for talking tech

0:31:03.440 --> 0:31:07.440
<v Speaker 3>head and first up, Jeff Fezios's Blue Origin nails a

0:31:07.600 --> 0:31:11.200
<v Speaker 3>major milestone it's next to Glen New Glen rocket booster

0:31:11.320 --> 0:31:14.160
<v Speaker 3>safely landed on a platform in the Atlantic after launching

0:31:14.160 --> 0:31:17.320
<v Speaker 3>a pair of small satellites on its way to study Mars.

0:31:17.760 --> 0:31:20.480
<v Speaker 3>Now that makes Blue Origin only the second company after

0:31:20.520 --> 0:31:24.360
<v Speaker 3>Elon Musk's SpaceX to successfully recover a booster, fittingly named

0:31:24.960 --> 0:31:26.960
<v Speaker 3>never tell Me the Odds.

0:31:28.120 --> 0:31:28.440
<v Speaker 4>Plus.

0:31:28.440 --> 0:31:31.480
<v Speaker 3>Emirates is reportedly partnering with SpaceX is Starlink to bring

0:31:31.560 --> 0:31:33.440
<v Speaker 3>faster in flight Wi Fi to its fleet.

0:31:33.520 --> 0:31:34.760
<v Speaker 4>Now that's according to sources.

0:31:34.800 --> 0:31:36.840
<v Speaker 3>The deal could be announced at the Dubai Air Show

0:31:36.880 --> 0:31:39.640
<v Speaker 3>on Monday, so the service will still need government.

0:31:39.400 --> 0:31:41.160
<v Speaker 4>Approval before it can be deployed.

0:31:41.880 --> 0:31:45.200
<v Speaker 3>And in a rare split between a chip maker and

0:31:45.200 --> 0:31:48.800
<v Speaker 3>its biggest customers, Amazon is joined in Microsoft in backing

0:31:48.880 --> 0:31:53.040
<v Speaker 3>legislation that could restrict Invidio's chip exports to China.

0:31:53.440 --> 0:31:55.240
<v Speaker 4>According to The Wall Street Journal, the.

0:31:55.200 --> 0:31:59.320
<v Speaker 3>Proposal would require chip makers to meet US demand before

0:31:59.360 --> 0:32:03.840
<v Speaker 3>shipping to come trees under arms embargos ed Okay.

0:32:03.880 --> 0:32:07.520
<v Speaker 2>Coming Up founder's fund is backing startup Netek, aiming to

0:32:07.600 --> 0:32:12.360
<v Speaker 2>supply AI to small businesses and we mean small businesses.

0:32:12.560 --> 0:32:14.920
<v Speaker 2>We're going to speak with the CEO, Melissa talking about

0:32:14.960 --> 0:32:16.680
<v Speaker 2>next this is Bloomberg Tech.

0:32:24.360 --> 0:32:27.920
<v Speaker 3>In a show of continued confidence, founder's fund is backing

0:32:28.080 --> 0:32:29.760
<v Speaker 3>Netik for the third time in a row.

0:32:29.960 --> 0:32:31.320
<v Speaker 4>It's the kind of support and.

0:32:31.320 --> 0:32:33.760
<v Speaker 3>Sustained support that the firm has previously on is shown

0:32:33.800 --> 0:32:36.520
<v Speaker 3>to the likes of Cognition AI or andill Now. Netik

0:32:36.560 --> 0:32:38.360
<v Speaker 3>has raised twenty three million dollars in a Series B

0:32:38.440 --> 0:32:41.720
<v Speaker 3>funding round aiming to talk quick businesses and contractors with

0:32:41.840 --> 0:32:45.840
<v Speaker 3>advanced AI tools. Melssa top max here Netics CEO Melissa

0:32:46.000 --> 0:32:48.600
<v Speaker 3>this is about main street, this is about h fax,

0:32:48.680 --> 0:32:52.800
<v Speaker 3>this is about contractors coming in repairing. Why target that

0:32:52.840 --> 0:32:53.640
<v Speaker 3>part of the market.

0:32:55.960 --> 0:32:58.479
<v Speaker 14>Well, thank you for having me, Caroline. I think for

0:32:58.600 --> 0:33:01.520
<v Speaker 14>us it's very important there. We're bringing frontier AI to

0:33:01.600 --> 0:33:04.360
<v Speaker 14>the industries that are the backbone of American economy.

0:33:04.600 --> 0:33:06.480
<v Speaker 8>I think a lot of startups.

0:33:06.120 --> 0:33:10.040
<v Speaker 14>Are existing in Silicon Valley that backs maybe developers, but

0:33:10.080 --> 0:33:13.200
<v Speaker 14>for us, we want to back these industries and large

0:33:13.240 --> 0:33:18.320
<v Speaker 14>companies in these industries in HVAC, plumbing, electric, solar, consumer

0:33:18.400 --> 0:33:21.760
<v Speaker 14>health and bring the frontier AI for them and help

0:33:21.840 --> 0:33:23.280
<v Speaker 14>them make more revenue.

0:33:23.880 --> 0:33:28.040
<v Speaker 3>Why doesn't some of the enterprise offerings thus far be

0:33:28.160 --> 0:33:31.200
<v Speaker 3>fit for purpose for these small and medium sized enterprises.

0:33:32.240 --> 0:33:35.600
<v Speaker 14>Yeah, I think these workflows are really deep. So I

0:33:35.600 --> 0:33:39.240
<v Speaker 14>think Ed was telling me actually just yesterday about adding

0:33:39.320 --> 0:33:40.880
<v Speaker 14>heat pump to his own home.

0:33:41.320 --> 0:33:43.600
<v Speaker 5>Yeah, he did add a heat pumps my home. Yeah,

0:33:43.640 --> 0:33:44.960
<v Speaker 5>hopefully it's working really well.

0:33:45.000 --> 0:33:48.400
<v Speaker 2>It works, but it was very difficult process. It was delayed.

0:33:48.520 --> 0:33:50.680
<v Speaker 2>There you answer the question, but.

0:33:50.760 --> 0:33:53.960
<v Speaker 14>Yes, yeah, it's exactly like Ed's experience, right, trying to

0:33:54.000 --> 0:33:56.160
<v Speaker 14>reach out to a company that might help you and

0:33:56.200 --> 0:34:00.200
<v Speaker 14>help you immediately because you have that need. Now, so

0:34:00.240 --> 0:34:03.840
<v Speaker 14>what we help with these industries with They all actually

0:34:04.120 --> 0:34:08.680
<v Speaker 14>face seasonality and volatility and have to have deep workflows

0:34:08.719 --> 0:34:10.200
<v Speaker 14>with their customers like AD.

0:34:10.560 --> 0:34:11.800
<v Speaker 8>So the other.

0:34:11.800 --> 0:34:15.919
<v Speaker 14>Solutions that might give you point solutions or easy workflows

0:34:16.120 --> 0:34:19.200
<v Speaker 14>will not work with these essential services that are serving

0:34:19.520 --> 0:34:22.840
<v Speaker 14>millions of consumers out there in America.

0:34:22.960 --> 0:34:25.920
<v Speaker 2>My small house in northern California is one end of

0:34:25.960 --> 0:34:28.640
<v Speaker 2>the scale. The other is data center build out and

0:34:28.760 --> 0:34:31.279
<v Speaker 2>Jensen one was speaking about this at GtC and DC.

0:34:31.400 --> 0:34:33.880
<v Speaker 2>I'm going to read you some of his quote. But

0:34:34.280 --> 0:34:36.960
<v Speaker 2>in order for us to win that the market, we

0:34:37.000 --> 0:34:41.240
<v Speaker 2>need mechanical engineers, electric engineers, plumbers, construction, skilled craft labor.

0:34:41.360 --> 0:34:43.960
<v Speaker 2>We need mountains of them. We need mountains of them,

0:34:44.080 --> 0:34:46.560
<v Speaker 2>and that's going to create lots of jobs and it's

0:34:46.600 --> 0:34:48.960
<v Speaker 2>going to be fantastic for the United States. But we

0:34:49.040 --> 0:34:52.520
<v Speaker 2>need a lot more. He seems to be suggesting that

0:34:52.520 --> 0:34:55.080
<v Speaker 2>that skilled labor that you want to work with with

0:34:55.200 --> 0:34:56.480
<v Speaker 2>contractors isn't there.

0:34:57.000 --> 0:34:58.480
<v Speaker 5>Is that your experience, there's.

0:34:58.360 --> 0:35:02.160
<v Speaker 14>Definitely labor shortage in these markets. We need more people

0:35:02.920 --> 0:35:05.840
<v Speaker 14>to go in and get trained in these industries for

0:35:05.920 --> 0:35:08.919
<v Speaker 14>our country. And it's not just for data centers. It's

0:35:08.960 --> 0:35:12.600
<v Speaker 14>actually as we have access to more tools, the energy

0:35:12.680 --> 0:35:16.800
<v Speaker 14>need is increasing from consumers and businesses, data centers across

0:35:16.800 --> 0:35:18.719
<v Speaker 14>the board, and we're going to need this labor to

0:35:18.760 --> 0:35:19.960
<v Speaker 14>be able to power it all.

0:35:20.760 --> 0:35:24.160
<v Speaker 3>Talk to us about total addressable market here, Melissa, because

0:35:24.280 --> 0:35:26.759
<v Speaker 3>it is such an obvious play to sort of make

0:35:26.800 --> 0:35:29.200
<v Speaker 3>sure that Main Street is equipped here.

0:35:29.480 --> 0:35:31.640
<v Speaker 4>But why haven't more tackled it. What are you seeing

0:35:31.680 --> 0:35:32.560
<v Speaker 4>in terms of the need?

0:35:34.320 --> 0:35:36.800
<v Speaker 14>I think when you're building a business in this area,

0:35:37.800 --> 0:35:40.239
<v Speaker 14>the mission is the most important thing. All of us

0:35:40.239 --> 0:35:44.440
<v Speaker 14>at Netek truly care about bringing AI to the backbone

0:35:44.480 --> 0:35:47.440
<v Speaker 14>of American economy and to the physical world.

0:35:47.600 --> 0:35:49.399
<v Speaker 8>I think this is maybe not.

0:35:49.400 --> 0:35:52.760
<v Speaker 14>The sexiest area that the Silicon Valley companies are building

0:35:52.800 --> 0:35:56.040
<v Speaker 14>in one, it's very difficult. You have to get integrated

0:35:56.080 --> 0:35:59.760
<v Speaker 14>with companies very closely. We partner with large private equity

0:35:59.800 --> 0:36:03.040
<v Speaker 14>firm and large enterprises in these industries and to really

0:36:03.160 --> 0:36:04.120
<v Speaker 14>learn their workplace.

0:36:04.160 --> 0:36:05.920
<v Speaker 2>So I think that's the root of Caroline's question though,

0:36:05.960 --> 0:36:08.560
<v Speaker 2>right if I said small businesses earlier, actually you work

0:36:08.600 --> 0:36:12.120
<v Speaker 2>with some bigger businesses as well. But you know, the

0:36:12.200 --> 0:36:15.200
<v Speaker 2>basic question is can a contractor or a small firm

0:36:15.239 --> 0:36:18.680
<v Speaker 2>of engineers, plumbers, whatever, afford to pay for your software?

0:36:18.840 --> 0:36:19.840
<v Speaker 2>That's what it comes down to.

0:36:20.320 --> 0:36:24.560
<v Speaker 14>Yeah, I think the question is about does that contractor

0:36:24.600 --> 0:36:27.359
<v Speaker 14>a solo contractor or maybe a few people do they

0:36:27.400 --> 0:36:28.440
<v Speaker 14>need AI today?

0:36:28.960 --> 0:36:29.160
<v Speaker 8>Right?

0:36:29.520 --> 0:36:32.640
<v Speaker 14>I think in there in that type of small business level,

0:36:32.920 --> 0:36:36.680
<v Speaker 14>if anything, capacity and labor being able to go take

0:36:36.719 --> 0:36:39.800
<v Speaker 14>on more jobs is the more problem. Then maybe investing

0:36:39.840 --> 0:36:42.560
<v Speaker 14>the small capital you have to AI tools. This is

0:36:42.560 --> 0:36:45.880
<v Speaker 14>why we actually started with more mid market and large enterprises,

0:36:46.120 --> 0:36:48.480
<v Speaker 14>because they're at a point that they can invest for

0:36:48.640 --> 0:36:51.480
<v Speaker 14>more growth with AI tools versus.

0:36:51.360 --> 0:36:52.399
<v Speaker 5>Not just real quick.

0:36:53.040 --> 0:36:55.520
<v Speaker 2>If you and Jensen wangare so much on the same page,

0:36:55.560 --> 0:36:56.839
<v Speaker 2>have you actually met with him and.

0:36:56.800 --> 0:36:57.480
<v Speaker 5>Talked about this.

0:36:57.840 --> 0:37:00.000
<v Speaker 14>I did not, but I got to listen to him

0:37:00.280 --> 0:37:04.160
<v Speaker 14>in DC when he was talking for the AI Executive

0:37:04.280 --> 0:37:07.040
<v Speaker 14>Order and I was front row and loved that he

0:37:07.160 --> 0:37:10.120
<v Speaker 14>talked about this type of jobs because I think we

0:37:10.160 --> 0:37:13.000
<v Speaker 14>need to encourage the young people to go into skilled

0:37:13.040 --> 0:37:17.120
<v Speaker 14>labor a lot more as AI does displace job in

0:37:17.280 --> 0:37:22.319
<v Speaker 14>more computer backed maybe small menial task areas. These are

0:37:22.360 --> 0:37:24.440
<v Speaker 14>the jobs that are not replaced for the next one

0:37:24.520 --> 0:37:25.200
<v Speaker 14>hundred years.

0:37:25.719 --> 0:37:28.839
<v Speaker 2>Melissa to magnetic see are great to have you on Bloombotech.

0:37:28.920 --> 0:37:32.520
<v Speaker 5>Thank you.

0:37:36.400 --> 0:37:40.640
<v Speaker 2>AI is reshaping holiday retail. Google is testing new AI

0:37:40.719 --> 0:37:44.359
<v Speaker 2>tools through its Gemini platform aimed at making search and

0:37:44.480 --> 0:37:46.840
<v Speaker 2>check out more seamless. It's part of a broader push

0:37:47.160 --> 0:37:51.040
<v Speaker 2>to bring agenticai into everyday shopping. Here with more is

0:37:51.120 --> 0:37:56.040
<v Speaker 2>Lenian Rincom, Google VP of Consumer Shopping product This is

0:37:56.200 --> 0:37:59.360
<v Speaker 2>interesting because we're going from the domain of AGENTICAI and

0:37:59.400 --> 0:38:02.840
<v Speaker 2>we're trying to take it to how consumers already you search,

0:38:03.640 --> 0:38:05.520
<v Speaker 2>marry them in the context of retail.

0:38:06.320 --> 0:38:08.480
<v Speaker 5>How does it work and why is it important?

0:38:09.320 --> 0:38:12.120
<v Speaker 15>Yeah, So agentic tech is, you know, relatively new, and

0:38:12.120 --> 0:38:15.759
<v Speaker 15>we're really focusing on bringing agentic ai for consumer problems

0:38:15.760 --> 0:38:18.479
<v Speaker 15>that really matter to consumers. And so for example, taking

0:38:18.520 --> 0:38:21.799
<v Speaker 15>the tedious parts of shopping and having AGENTICAI, which is

0:38:21.880 --> 0:38:24.000
<v Speaker 15>AI that does things on behalf of the user.

0:38:24.440 --> 0:38:26.000
<v Speaker 8>So, for example, with price.

0:38:25.800 --> 0:38:28.080
<v Speaker 15>Tracking, you know, we have the scenario of you see

0:38:28.080 --> 0:38:30.120
<v Speaker 15>a product, maybe the price is too high. You can

0:38:30.160 --> 0:38:32.320
<v Speaker 15>track the price and we will auto buy the product

0:38:32.400 --> 0:38:34.920
<v Speaker 15>for you. On the other hand, for example, let's say

0:38:34.920 --> 0:38:37.480
<v Speaker 15>you have a particular product. Let's say La Buboo is

0:38:37.520 --> 0:38:39.080
<v Speaker 15>one of the products of the season, and you want

0:38:39.080 --> 0:38:41.640
<v Speaker 15>to find it near you. It will actually make all

0:38:41.640 --> 0:38:43.880
<v Speaker 15>the calling for you for nearby businesses and tell you

0:38:43.960 --> 0:38:44.840
<v Speaker 15>whether it's in stock.

0:38:45.239 --> 0:38:48.879
<v Speaker 2>Do you have any evidence or data that this technology

0:38:48.960 --> 0:38:53.600
<v Speaker 2>change results in an actual purchase or more that increases

0:38:53.680 --> 0:38:56.759
<v Speaker 2>the likelihood that the consumer goes through with it.

0:38:57.120 --> 0:38:59.640
<v Speaker 15>I mean, anecdotally, we do see that consumers are really

0:38:59.719 --> 0:39:02.680
<v Speaker 15>loving this in the sense that both consumers and merchants

0:39:02.680 --> 0:39:05.880
<v Speaker 15>actually especially for the agentic calling, because it's allowing consumers

0:39:05.920 --> 0:39:07.960
<v Speaker 15>to have more confidence let's say that the product is

0:39:08.000 --> 0:39:08.960
<v Speaker 15>actually in store.

0:39:09.920 --> 0:39:13.479
<v Speaker 3>There are some that perhaps don't want others agents coming

0:39:13.480 --> 0:39:14.360
<v Speaker 3>and making purchases.

0:39:14.400 --> 0:39:15.839
<v Speaker 4>They want that direct relationship.

0:39:15.880 --> 0:39:19.560
<v Speaker 3>We've seen reports of Amazon doing a season desist on

0:39:19.640 --> 0:39:22.880
<v Speaker 3>perplexity because of creiment's being made.

0:39:23.200 --> 0:39:25.719
<v Speaker 4>How do you think you'll navigate the ecosystem in that way.

0:39:25.760 --> 0:39:28.000
<v Speaker 8>Lilian, Yeah, it's a great question.

0:39:28.040 --> 0:39:31.040
<v Speaker 15>You know, I think all of this agentic technology is

0:39:31.160 --> 0:39:34.200
<v Speaker 15>very nascent, and again at Google, we're really starting with

0:39:34.520 --> 0:39:37.640
<v Speaker 15>what are those real problems that consumers have and always

0:39:37.680 --> 0:39:41.840
<v Speaker 15>giving consumers control of the experience. So in that agentic checkout,

0:39:41.880 --> 0:39:44.160
<v Speaker 15>for example, as I mentioned, you know, we're starting with

0:39:44.400 --> 0:39:46.640
<v Speaker 15>a real user need, right, which is a lot of

0:39:46.680 --> 0:39:49.239
<v Speaker 15>times people will see a product maybe it's too expensive.

0:39:49.600 --> 0:39:52.040
<v Speaker 15>We let you track the price of the product, We

0:39:52.120 --> 0:39:54.799
<v Speaker 15>alert you when the product has reached that price, and

0:39:54.840 --> 0:39:57.960
<v Speaker 15>then you can auto buy, essentially have Google buy that

0:39:58.000 --> 0:40:00.719
<v Speaker 15>product for you on your behalf. And in this case

0:40:00.719 --> 0:40:02.799
<v Speaker 15>for the merchant, it's good in the sense that, you know,

0:40:02.880 --> 0:40:05.879
<v Speaker 15>maybe they would have lost that customer otherwise, right, maybe

0:40:05.880 --> 0:40:07.520
<v Speaker 15>they weren't ready to buy it at that price, And

0:40:07.600 --> 0:40:09.439
<v Speaker 15>so we think this is good for merchants and also

0:40:09.480 --> 0:40:10.200
<v Speaker 15>for consumers.

0:40:10.760 --> 0:40:14.960
<v Speaker 3>On the backhend, Lilian, we've got a beautifully geeky audience.

0:40:15.560 --> 0:40:18.279
<v Speaker 3>What is it that you've managed to do in the

0:40:18.360 --> 0:40:21.319
<v Speaker 3>last few months years that is just allowed for this,

0:40:21.480 --> 0:40:24.640
<v Speaker 3>that is now seeing the agents able to run run

0:40:24.680 --> 0:40:27.280
<v Speaker 3>free and make purchases on one's behalf safely.

0:40:28.800 --> 0:40:31.279
<v Speaker 8>Yeah, I think again. So a lot of this is new.

0:40:31.360 --> 0:40:33.880
<v Speaker 15>I will say that, you know, on the agentic calling piece,

0:40:33.920 --> 0:40:36.680
<v Speaker 15>we have been doing things like duplex, which you may

0:40:36.719 --> 0:40:38.440
<v Speaker 15>or may not be familiar with, which is where we're

0:40:38.520 --> 0:40:42.280
<v Speaker 15>using AI to essentially call a business on your behalf

0:40:42.560 --> 0:40:46.040
<v Speaker 15>for some years actually, you know, since twenty seven, twenty eighteen.

0:40:46.080 --> 0:40:47.680
<v Speaker 4>I think the restaurants have been doing it for me

0:40:47.719 --> 0:40:48.440
<v Speaker 4>for a long time.

0:40:48.960 --> 0:40:49.800
<v Speaker 8>Yeah, exactly.

0:40:49.800 --> 0:40:51.759
<v Speaker 15>On the calling piece, I think we've been doing this

0:40:51.800 --> 0:40:54.520
<v Speaker 15>for a long time, and we're really finding real user needs,

0:40:54.960 --> 0:40:57.879
<v Speaker 15>you know, for tedious parts of shopping where we think

0:40:57.880 --> 0:41:01.240
<v Speaker 15>it can help. On the agentic calling piece, also tracking

0:41:01.280 --> 0:41:03.600
<v Speaker 15>the price is something that we've done over some time.

0:41:04.000 --> 0:41:06.759
<v Speaker 15>This year, we've actually gotten down to the variant level.

0:41:06.800 --> 0:41:09.000
<v Speaker 15>So for example, if you see a shoe that you like,

0:41:09.360 --> 0:41:11.719
<v Speaker 15>it really matters the size and the color of the shoe,

0:41:11.719 --> 0:41:14.280
<v Speaker 15>and so now we're able to agentically, you know, really

0:41:14.320 --> 0:41:15.600
<v Speaker 15>track that price.

0:41:16.160 --> 0:41:17.360
<v Speaker 4>And then the buying.

0:41:17.400 --> 0:41:19.880
<v Speaker 15>Really what we're doing there is we are instantiating a

0:41:19.880 --> 0:41:23.120
<v Speaker 15>browser and really adding a product to the card on

0:41:23.160 --> 0:41:24.719
<v Speaker 15>the merchant side and letting you buy it.

0:41:25.440 --> 0:41:27.719
<v Speaker 2>The question is always what happens next and how is

0:41:27.760 --> 0:41:31.200
<v Speaker 2>this going to go? At the enterprise scale. The issue

0:41:31.200 --> 0:41:33.560
<v Speaker 2>with agentic AI is that you need many agents to

0:41:33.600 --> 0:41:36.360
<v Speaker 2>be able to communicate with one another. In fact, in

0:41:36.400 --> 0:41:39.080
<v Speaker 2>the consued think about an airline app, for example, and

0:41:39.120 --> 0:41:41.160
<v Speaker 2>they maybe use a different software platform to book the

0:41:41.560 --> 0:41:45.760
<v Speaker 2>flight originally. Are you encountering those problems? You know, Gemini

0:41:45.840 --> 0:41:47.840
<v Speaker 2>and what's outside of Google's control?

0:41:48.239 --> 0:41:51.080
<v Speaker 15>You know, I would say that it's still nascent. So today,

0:41:51.200 --> 0:41:54.680
<v Speaker 15>for example, a lot of our merchants and the way

0:41:54.680 --> 0:41:56.920
<v Speaker 15>that they show up is actually through relationships that we've

0:41:56.920 --> 0:41:58.840
<v Speaker 15>developed over the years. So we have something called the

0:41:58.840 --> 0:42:01.560
<v Speaker 15>shopping graph, which is, you know, fifty billion product listings

0:42:01.680 --> 0:42:04.480
<v Speaker 15>of all these merchants around the world. But as you say,

0:42:04.600 --> 0:42:07.520
<v Speaker 15>over time, you know, potentially you'll imagine a world where

0:42:08.040 --> 0:42:10.920
<v Speaker 15>merchant has an agent and we will be interacting between

0:42:11.000 --> 0:42:13.120
<v Speaker 15>the Gemini agent and that agent as well.

0:42:13.320 --> 0:42:15.480
<v Speaker 4>Yeah, Lillian and Rincon of Google.

0:42:15.600 --> 0:42:18.920
<v Speaker 3>Fascinating as we head towards holidays, taking a little bit

0:42:18.920 --> 0:42:19.319
<v Speaker 3>of the to.

0:42:19.280 --> 0:42:21.359
<v Speaker 4>Do list off our plate. Thank you for stopping by.

0:42:21.360 --> 0:42:23.879
<v Speaker 3>And meanwhile, that does it for this edition of Bloomberg Tech.

0:42:23.920 --> 0:42:25.839
<v Speaker 4>And what a week it's been. What a week We've

0:42:25.840 --> 0:42:26.560
<v Speaker 4>got coming.

0:42:27.440 --> 0:42:29.240
<v Speaker 5>It's the super Bowl and video Earnings.

0:42:29.239 --> 0:42:31.759
<v Speaker 2>Next week It's been a weird Friday where markets kind

0:42:31.760 --> 0:42:34.080
<v Speaker 2>of quite severely down, and now we're kind of up

0:42:34.080 --> 0:42:36.360
<v Speaker 2>a little bit, and I think everyone's just ready for

0:42:36.400 --> 0:42:39.000
<v Speaker 2>the weekend. Don't forget to check out the podcast. It's

0:42:39.000 --> 0:42:40.480
<v Speaker 2>a great thing to do on a weekend. You can

0:42:40.480 --> 0:42:44.440
<v Speaker 2>find it on the terminal as well as online on Apple, Spotify,

0:42:44.840 --> 0:42:47.399
<v Speaker 2>and iHeart from San Francisco and.

0:42:47.440 --> 0:42:50.520
<v Speaker 5>New York City. This is Bloomberg Tech