WEBVTT - Big Tech Earnings, Reid Hoffman and the Election

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<v Speaker 1>From Mahart where Innovation, Money and power collie in Silicon

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<v Speaker 1>Valley NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed Ludlove.

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<v Speaker 2>Live from New York and San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up Microsoft and Meta results

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<v Speaker 3>drag the market lower. We'll take a deep dive into

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<v Speaker 3>how the AI story is playing out for them.

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<v Speaker 4>And door dash posts its first operating profit since the

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<v Speaker 4>pandemic as it grows outside restaurant deliveries.

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<v Speaker 1>We speak to the CFO.

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<v Speaker 3>And we will sit down with Graylock partner and LinkedIn

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<v Speaker 3>co founder Reed Hoffman to discuss the impact of the

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<v Speaker 3>election on Silicon Valley. But first we check in on

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<v Speaker 3>these markets that are to the downside the NASDAC as

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<v Speaker 3>I shine a light off by more than two percent

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<v Speaker 3>of this is as the earnings come thick, come fast,

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<v Speaker 3>and Ed's going to be describing some of the key

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<v Speaker 3>point contributors to the downside. But I highlight Uber, one

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<v Speaker 3>of the latest ones out this morning, down the most

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<v Speaker 3>in two years.

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<v Speaker 2>Why gross bookings just not as high as market had

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<v Speaker 2>wanted to see.

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<v Speaker 3>We're seeing forty one billion dollars for their quarter just reported,

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<v Speaker 3>but the market wanted to see higher and they wanted

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<v Speaker 3>a better forecast as well. Is it being crimped back

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<v Speaker 3>by perhaps a slightly slower growth in the United States.

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<v Speaker 2>We're seeing California and.

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<v Speaker 3>New Jersey perhaps pushed back a little bit by the

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<v Speaker 3>cost of insurance, for example. But also there's an FX

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<v Speaker 3>headwind that's happening even though we saw record operating profit

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<v Speaker 3>eds so uber to the downside.

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<v Speaker 2>What else are you watching on the micro.

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<v Speaker 4>Basis, Yeah, emphasis on forecast when it comes to the

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<v Speaker 4>megacaps and members of the mag seven that reported Meta

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<v Speaker 4>narrowly beaten the quarter gone on the advertising business, but

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<v Speaker 4>it's warning of greater losses in reality labs as it

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<v Speaker 4>continues to invest in AI and capital expenditures growth into

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<v Speaker 4>twenty twenty five. Microsoft is similar story. In fact, the

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<v Speaker 4>stocks down by the most or on track to be

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<v Speaker 4>dropped by the most since October of twenty twenty two,

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<v Speaker 4>as your growth in the next three month period will

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<v Speaker 4>be thirty one to thirty two percent, but that's a

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<v Speaker 4>declined sequentially from the thirty four percent in the court

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<v Speaker 4>of just Gone. Unbelievably, they're saying that their supply constrained

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<v Speaker 4>or capacity constrained on the data center side.

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<v Speaker 2>In other words, they.

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<v Speaker 4>Don't have the compute capacity needed to meet the demand

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<v Speaker 4>that's out there for AI, which is like a really

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<v Speaker 4>fascinating predicatiment to be in there. But also record spending

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<v Speaker 4>right in the course just gone. The themes are quite consistent.

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<v Speaker 3>Carroc, the themes are and so is the movement across

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<v Speaker 3>most of the market. Let's bring in bloomberg'sjes menton who

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<v Speaker 3>helps really focus in on a drag lower for the

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<v Speaker 3>NASDAC and all eyes really have been on AI capacity

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<v Speaker 3>and AI spending.

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<v Speaker 5>That's right, and especially with Microsoft because they've ramped up

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<v Speaker 5>so much spinning, and especially I know you cover the

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<v Speaker 5>data center's focused as well, because that's not.

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<v Speaker 2>Something typically a company.

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<v Speaker 5>Like Microsoft would have done, say before twenty twenty, but

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<v Speaker 5>especially especially if you think about the utility stocks have

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<v Speaker 5>been taken off those types of tie to the data

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<v Speaker 5>center biness. But that's really where it is when you're

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<v Speaker 5>thinking about the CAPEC spending, not just for Microsoft, when

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<v Speaker 5>it comes to these other companies too, because even say

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<v Speaker 5>if you're looking over at Meta Mark Zuckerberg made it

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<v Speaker 5>clear they're still going to keep up that spending for

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<v Speaker 5>AI even though you're starting to see that is quite

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<v Speaker 5>of a boost there too when it comes to sales

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<v Speaker 5>tied to those types of AI losses there, but also

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<v Speaker 5>when you're thinking about we still have in a video

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<v Speaker 5>coming up for it's still a few weeks away, so

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<v Speaker 5>it's November twentieth, but when you think about its core

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<v Speaker 5>key clients here when it comes to AI spending and

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<v Speaker 5>what it means, I mean, they're all reporting this week,

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<v Speaker 5>so we already heard from Alphabet, obviously, we had Microsoft

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<v Speaker 5>and of course Meta, and then we'll have Amazon after

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<v Speaker 5>the bell. But with them raping up spending, that obviously

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<v Speaker 5>is going to boilde well for Nvidia, and when you

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<v Speaker 5>think about nearly half of its revenue growth when it

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<v Speaker 5>comes to those types of addison.

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<v Speaker 4>Yes, let me jump in here.

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<v Speaker 5>Though.

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<v Speaker 4>Really interesting, we're showing in videos down four percent or

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<v Speaker 4>more than right in video right And what's so interesting

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<v Speaker 4>is that second biggest points drag on the Nasdaq one

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<v Speaker 4>hundred and maybe the logic here is that Microsoft one

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<v Speaker 4>of the biggest buyers of invidious chips along with Meta,

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<v Speaker 4>their growth outlooks are disappointing. So even though they're both

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<v Speaker 4>saying we are committed to spending on AI if they

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<v Speaker 4>can't sustain the growth that investors want to see in

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<v Speaker 4>response to that, maybe those plans change. I just think

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<v Speaker 4>that's so interesting to see that name down significantly despite

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<v Speaker 4>its biggest customers saying yeah, we're going to spend money

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<v Speaker 4>on them, no worries.

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<v Speaker 5>Well, a lot of that also has to do because

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<v Speaker 5>the lingering concerns about the black wall chips, and especially

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<v Speaker 5>when you think of product delays and it's long term

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<v Speaker 5>growth prospects. So a lot of that really is tied

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<v Speaker 5>there to your point as far as what that means

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<v Speaker 5>and as far as how long can some of these

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<v Speaker 5>companies continue to ramp up that spending because we normally

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<v Speaker 5>haven't seen that, Like I mentioned, when it comes to something.

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<v Speaker 4>Like Microsoft astonishing gains going into earnings. It's an amazing

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<v Speaker 4>and interesting market session, and we have Bloomberg's Jesmentum, we're

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<v Speaker 4>grateful for it. Thank you. Let's get the cell side

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<v Speaker 4>reaction and bring in Sweater Cajuria, Managing director for Global

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<v Speaker 4>Internet at Wolf Research, And I think we've got to

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<v Speaker 4>start with Meta. It's a really interesting company to understand

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<v Speaker 4>because beaten, the care to gone, the social media advertising

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<v Speaker 4>supported business reality labs will see greater losses. Capital expenditures

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<v Speaker 4>will continue to grow. I've got a really big sense

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<v Speaker 4>of deja vu. I don't know about you, Schweta, but

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<v Speaker 4>what was your takeaway from that?

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<v Speaker 6>Yeah, well, first of all, thanks for having me ed,

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<v Speaker 6>it's good to be here. My takeaway was that there

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<v Speaker 6>are a lot of good things that are going on

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<v Speaker 6>for Meta and if we think about at a high level, yes,

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<v Speaker 6>on the negative side, gapex remains unclear. They'll probably spend

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<v Speaker 6>maybe fifty to sixty billion dollars in gapex next year.

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<v Speaker 6>We'll see when they guide, but that's a pretty big number.

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<v Speaker 6>And the losses in reality labs, certainly to your point,

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<v Speaker 6>is a concern. But on the flip side, what they

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<v Speaker 6>are doing in terms of how they are leveraging LAMA,

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<v Speaker 6>which I believe is a stroke of genius on their

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<v Speaker 6>part to their own advantage, is amazing. Especially as we

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<v Speaker 6>think about engagement and monetization. Video recommendations alone are driving

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<v Speaker 6>mid to high single dige percentage growth on time spent

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<v Speaker 6>impression growths are highcing gole digit pricing is improving eleven

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<v Speaker 6>percent for them and so and METAAI already has five

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<v Speaker 6>hundred million mus and so the engagement on the platform

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<v Speaker 6>is remarkable, and what they are trying to do is

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<v Speaker 6>continue to be able to monetize on a go forward basis.

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<v Speaker 6>So we expect their revenue growth to be sustained that

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<v Speaker 6>you know, call it mid team's growth rate even at

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<v Speaker 6>current levels. And they are probably one of the biggest

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<v Speaker 6>beneficiaries of deploying AI for their own advantage.

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<v Speaker 3>I mean, not half a billion monthly active use as

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<v Speaker 3>a metter AI was arresting, but what arrested the market

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<v Speaker 3>was the twenty twenty five promise to spend.

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<v Speaker 2>Just take a listen to what Mark Zuckerbag said on

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<v Speaker 2>the core.

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<v Speaker 7>First, it's clear that there are a lot of new

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<v Speaker 7>opportunities to use new AI advances to accelerate our core

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<v Speaker 7>business that should have strong ROI over the next few years.

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<v Speaker 7>So I think we should invest more there. And second

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<v Speaker 7>are AI and continue to require serious infrastructure, and I

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<v Speaker 7>expect to continue investing significantly there too.

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<v Speaker 3>So in your note Shretter, you talk about the new opportunities,

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<v Speaker 3>the new revenue avenues that we're going to see. What

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<v Speaker 3>are they articulate that for the market.

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<v Speaker 6>Sure, well, in the nearer mid term it is leveraging

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<v Speaker 6>these AI, the AI models and LAMA to their own

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<v Speaker 6>advantage around engagement and monetizations, so they are making their

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<v Speaker 6>recommendations better. An example would be unified videos. They're making

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<v Speaker 6>a full screen video on their platforms across their apps,

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<v Speaker 6>and that's going to drive engagement because it's live videos,

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<v Speaker 6>short form videos, differentiated videos, all on one platform on

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<v Speaker 6>a full screen, and that itself has opportunity to increase

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<v Speaker 6>supply in terms of ad impressions in that format. In

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<v Speaker 6>addition to that, they're using AI to make those recommendations

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<v Speaker 6>more targeted and they have not really untapped that opportunity

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<v Speaker 6>as much advantage, which plus is what grew their growth

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<v Speaker 6>in twenty twenty four. In twenty twenty five is most

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<v Speaker 6>likely going to be video recommendation platform and their video

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<v Speaker 6>feed That will probably drive their advertising growth in the

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<v Speaker 6>mid to long term. There are several other revenue sources

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<v Speaker 6>that they never had before. For example, business to business

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<v Speaker 6>messaging on WhatsApp that's probably two years out, but they're

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<v Speaker 6>already monetizing that, and then beyond two years Meta AI

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<v Speaker 6>in terms of adding advertising to their search feeds on

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<v Speaker 6>Meta ai in addition to subscription. Just like Chad GPT

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<v Speaker 6>or Gemini are completely new revenue sources for them.

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<v Speaker 4>And they continue to see early surprise success with ray

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<v Speaker 4>van Metas the Glasses and Swetter. You do not cover Microsoft,

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<v Speaker 4>but you do follow Alphabet, the parent of Google and

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<v Speaker 4>Amazon that reports after the bell and in the context

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<v Speaker 4>of cloud, I look at what Alphabet said and last

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<v Speaker 4>night Microsoft both seeming to suggest that the number three

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<v Speaker 4>and two players took market share from Aws, Amazon the

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<v Speaker 4>number one player. Do you go into Amazon's earning tonight

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<v Speaker 4>with that analysis as well?

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<v Speaker 6>Absolutely, I mean the top three players in the market

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<v Speaker 6>are Amazon's AWS, Azure and Google Cloud. What we also

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<v Speaker 6>saw with Google Cloud because I do cover it is

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<v Speaker 6>thirty five percent cloud growth rate and in part driven

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<v Speaker 6>by them not only gaining share, but also part of

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<v Speaker 6>expanding markettam, which is their AI services and products are

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<v Speaker 6>really driving that growth. If we look at their ten

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<v Speaker 6>Q and the backlog, the demand rends that they're seeing

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<v Speaker 6>are pretty amazing. So going into Amazon's print, our expectation

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<v Speaker 6>is that Amazon's AWS Cloud revenue likely grew twenty to

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<v Speaker 6>twenty one percent, and the streets looking for nineteen percent

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<v Speaker 6>growth rate. That's our expectation and we expect that to

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<v Speaker 6>accelerate in the fourth quarter.

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<v Speaker 3>You have an outperform writing on Amazon allies in that

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<v Speaker 3>after the ball Schwartzek.

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<v Speaker 2>Great to have you of Wolf Research coming up.

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<v Speaker 3>DoorDash remarks a major milestone since launching its IPO. The

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<v Speaker 3>CFO Rabi Uconda joins us. Next, this is Blueberg Technology

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<v Speaker 3>Time now for talking tech. First up, It's official the

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<v Speaker 3>EU is investigating e commerce platform Temu for potentially violating

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<v Speaker 3>the Digital Services Act. Now, the commission suspects that the

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<v Speaker 3>company is not doing enough to combat sales of illegal

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<v Speaker 3>products on its site.

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<v Speaker 2>Meanwhile, Elon Musk.

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<v Speaker 3>Was sued by the Philip Philadelphia District Attorney of his

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<v Speaker 3>political action committees one million a day sweepstakes targeting swing

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<v Speaker 3>state voters. Now the DA is asking a state court

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<v Speaker 3>to stop Musk from engaging in what it calls an

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<v Speaker 3>unlawful lottery. And Pelton has tapped Ford executive Peter Stern

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<v Speaker 3>as its new CEO. The fitness brand has struggled to

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<v Speaker 3>lose profitability since the pandemic. Ford Hardston last year to

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<v Speaker 3>run a newly created technology focused division of the automaker

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<v Speaker 3>ed Okay.

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<v Speaker 4>Door Dash has topped Wall Street expectations in nearly every

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<v Speaker 4>key metric. This earning season seeing its first quarterly operating

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<v Speaker 4>profit since the start of the pandemic, generating one hundred

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<v Speaker 4>and seven million dollars in operating income. And really it's

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<v Speaker 4>a story about an app or platform that's shifted from

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<v Speaker 4>restaurant deliveries to so much moreh CFO Rave in a

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<v Speaker 4>Conda is with us here in San Francisco. Let's just

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<v Speaker 4>focus on the future. So that was the story, right,

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<v Speaker 4>that what's happening is success in other business lines. But

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<v Speaker 4>so many interested about this long term future of door Dash.

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<v Speaker 4>You hinted there would be long term investments in new areas.

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<v Speaker 1>What are they sure?

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<v Speaker 8>We started our business with the restaurants as the core focus,

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<v Speaker 8>but today we are so much more than restaurants. Consumers

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<v Speaker 8>have it an all time high. More consumers are ordering

0:12:05.240 --> 0:12:10.160
<v Speaker 8>from more categories. It's grocery, its retail, it's Halloween costumes.

0:12:10.520 --> 0:12:13.439
<v Speaker 8>We are partnering with every single store in your local neighborhood.

0:12:13.720 --> 0:12:16.800
<v Speaker 8>Our goal is to be your local neighborhood superstore.

0:12:17.080 --> 0:12:20.800
<v Speaker 4>Which areas are the most profitable potentially business lines for

0:12:20.840 --> 0:12:21.240
<v Speaker 4>the app.

0:12:21.640 --> 0:12:24.560
<v Speaker 8>The overall business has been gap profitable now for the

0:12:24.559 --> 0:12:26.920
<v Speaker 8>first time as a public company. The way we think

0:12:26.920 --> 0:12:29.520
<v Speaker 8>about it is we are trying to build scale in

0:12:29.559 --> 0:12:32.440
<v Speaker 8>our business. Scale is the most important thing because scale

0:12:32.520 --> 0:12:36.400
<v Speaker 8>drives efficiency, which ultimately drives profitability in the business. If

0:12:36.440 --> 0:12:39.079
<v Speaker 8>you look at our restaurants business that has been profitable

0:12:39.120 --> 0:12:42.319
<v Speaker 8>for a few years, we're taking the profitability and building

0:12:42.360 --> 0:12:45.679
<v Speaker 8>our new categories business as well as our international business.

0:12:46.320 --> 0:12:48.960
<v Speaker 3>Let's just talk about international because you made acquisitions there

0:12:49.040 --> 0:12:51.320
<v Speaker 3>and I'm interested as to how the consumers stack up

0:12:51.440 --> 0:12:52.959
<v Speaker 3>US versus international consumer.

0:12:53.040 --> 0:12:57.880
<v Speaker 8>Right now, RABI International is seeing very good and strong growth.

0:12:58.480 --> 0:13:02.439
<v Speaker 8>The growth has been substantially faster than peers. We're gaining

0:13:02.440 --> 0:13:05.280
<v Speaker 8>share virtually in every country that we operate in. All

0:13:05.320 --> 0:13:07.920
<v Speaker 8>of that is being driven by the underlying product innovation.

0:13:08.520 --> 0:13:12.160
<v Speaker 8>Users are growing, order frequencies growing. We launched World Plus,

0:13:12.160 --> 0:13:15.160
<v Speaker 8>our subscription program in international markets, and that's off to

0:13:15.200 --> 0:13:16.079
<v Speaker 8>our flying start.

0:13:16.679 --> 0:13:17.480
<v Speaker 2>What's interesting is.

0:13:17.480 --> 0:13:19.439
<v Speaker 3>You're doing partnerships here in the US.

0:13:19.480 --> 0:13:20.120
<v Speaker 2>It is with lift.

0:13:20.600 --> 0:13:24.120
<v Speaker 3>How integral is that sort of a partnership for growing

0:13:24.280 --> 0:13:26.240
<v Speaker 3>your user base, which, of course your CEO is saying,

0:13:26.280 --> 0:13:28.319
<v Speaker 3>you're still only a single digit fraction of the overall

0:13:28.400 --> 0:13:29.199
<v Speaker 3>restaurant industry.

0:13:30.640 --> 0:13:33.120
<v Speaker 8>We're excited by the partnership with Lyft. We think it's

0:13:33.160 --> 0:13:36.800
<v Speaker 8>an opportunity for us to make dash Pass even more valuable.

0:13:37.280 --> 0:13:40.680
<v Speaker 8>We have over eighteen million plus subscribers that have saved

0:13:40.679 --> 0:13:44.320
<v Speaker 8>over ten billion dollars globally. Partnerships like this make it

0:13:44.360 --> 0:13:47.280
<v Speaker 8>a little bit more attractive, help our consumers save even more.

0:13:47.600 --> 0:13:50.880
<v Speaker 8>But the core focus continues to be to improve the platform.

0:13:50.920 --> 0:13:52.760
<v Speaker 8>That's where we see still the majority of the growth

0:13:52.760 --> 0:13:53.160
<v Speaker 8>for us.

0:13:53.240 --> 0:13:57.520
<v Speaker 4>You know, Rabi combining right hailing with delivery of food

0:13:57.559 --> 0:14:01.080
<v Speaker 4>and groceries sounds a lot like what Uba does, but

0:14:01.160 --> 0:14:04.640
<v Speaker 4>there's an interesting analysis to be done why you're friving.

0:14:05.240 --> 0:14:09.400
<v Speaker 4>But Uber also printed results that showed the consumer is

0:14:09.440 --> 0:14:11.920
<v Speaker 4>a little bit tepid right now in the right hailing

0:14:12.000 --> 0:14:15.520
<v Speaker 4>context in this gig economy world. Why is it that

0:14:15.559 --> 0:14:17.920
<v Speaker 4>you're succeeding in the here and now?

0:14:18.320 --> 0:14:20.000
<v Speaker 8>We have so much more than restaurants. I'll give you

0:14:20.000 --> 0:14:22.520
<v Speaker 8>a small example. Just a couple of months ago, we

0:14:22.520 --> 0:14:25.720
<v Speaker 8>were running late for back to school. We use DoorDash

0:14:26.000 --> 0:14:28.200
<v Speaker 8>for back to school supplies for both of our kids.

0:14:28.240 --> 0:14:29.680
<v Speaker 1>Okay, we want to.

0:14:29.640 --> 0:14:32.200
<v Speaker 8>Take away the worry of having a to do list.

0:14:32.560 --> 0:14:33.840
<v Speaker 1>We want DoorDash to be.

0:14:33.880 --> 0:14:36.920
<v Speaker 8>Your local commerce to do list. Local commerce is a

0:14:36.960 --> 0:14:40.440
<v Speaker 8>large opportunity. Delivery is the most frequent use case people

0:14:40.440 --> 0:14:42.920
<v Speaker 8>need at local stores. People order from local stores more

0:14:42.920 --> 0:14:45.720
<v Speaker 8>than any other activity, and we are the leaders in

0:14:45.760 --> 0:14:48.480
<v Speaker 8>that space. We are providing selection, We're bringing the best

0:14:48.480 --> 0:14:50.120
<v Speaker 8>of local neighborhoods to your doorstep.

0:14:51.280 --> 0:14:55.000
<v Speaker 3>Let's just talk a little bit more about the geography

0:14:55.200 --> 0:14:57.600
<v Speaker 3>of where you want to be expanding. I mean, is

0:14:58.360 --> 0:15:00.400
<v Speaker 3>it about spending power a geography when it comes to

0:15:00.680 --> 0:15:02.840
<v Speaker 3>a deal like the one that we see with Lift,

0:15:03.280 --> 0:15:06.400
<v Speaker 3>and how do you then extrapolate that to potentially international

0:15:06.840 --> 0:15:09.280
<v Speaker 3>geography growth as well.

0:15:09.520 --> 0:15:12.800
<v Speaker 8>We operate in over thirty countries, and the interesting thing

0:15:12.880 --> 0:15:15.000
<v Speaker 8>is even in all the countries that we operate in,

0:15:15.360 --> 0:15:18.720
<v Speaker 8>we're not in all the cities. Our focus continues to

0:15:18.720 --> 0:15:21.160
<v Speaker 8>be to build the best product possible, not just for consumers,

0:15:21.520 --> 0:15:24.640
<v Speaker 8>but merchants as well as dashers. We just announced a

0:15:24.720 --> 0:15:28.520
<v Speaker 8>product we call Commerce Platform for our merchants, which continues

0:15:28.560 --> 0:15:31.400
<v Speaker 8>to do really well. Even in the US, we are

0:15:31.480 --> 0:15:35.080
<v Speaker 8>the fastest growing from a grocery perspective. We're gaining share

0:15:35.120 --> 0:15:38.440
<v Speaker 8>compared to peers. Our goal is to expand to all

0:15:38.600 --> 0:15:41.800
<v Speaker 8>things within local commerce, within all the countries that we operate.

0:15:41.600 --> 0:15:45.440
<v Speaker 4>In your technology company. You just talk us about your business.

0:15:45.880 --> 0:15:49.520
<v Speaker 4>Why give me one reason why it helps you stand out.

0:15:49.760 --> 0:15:51.480
<v Speaker 4>You're very good at that, maybe others on.

0:15:52.080 --> 0:15:54.120
<v Speaker 8>There's three legs to the stool of growth that we

0:15:54.200 --> 0:15:58.560
<v Speaker 8>think about. It's selection, it's quality, it's affordability. It's not

0:15:58.720 --> 0:16:01.560
<v Speaker 8>one or the other. It's a combination of all three

0:16:01.600 --> 0:16:04.680
<v Speaker 8>things that consumers are looking and asking for. And we're

0:16:04.760 --> 0:16:08.440
<v Speaker 8>driving same store sales growth for merchants. Over seven million

0:16:08.520 --> 0:16:11.160
<v Speaker 8>dashers have dashed with us in the last year, earning

0:16:11.160 --> 0:16:14.200
<v Speaker 8>over fifteen billion, and we are the fasts going from

0:16:14.200 --> 0:16:17.280
<v Speaker 8>an overall consumer footprint perspective as well.

0:16:17.520 --> 0:16:19.560
<v Speaker 3>Rabbi, we want to thank you for coming in spelling

0:16:19.560 --> 0:16:22.520
<v Speaker 3>out the learnings and the potential door dash Cfo Ravi

0:16:22.720 --> 0:16:25.160
<v Speaker 3>in Acondo there. Meanwhile, coming up, I'm going to be

0:16:25.240 --> 0:16:28.040
<v Speaker 3>speaking with the Twilio CEO coming up next on the

0:16:28.080 --> 0:16:31.040
<v Speaker 3>heels of the company's quarterly earnings report and what are

0:16:31.040 --> 0:16:32.280
<v Speaker 3>you looking at in tess of earnings?

0:16:32.320 --> 0:16:35.520
<v Speaker 4>So really quick check on eBay stockdown more than eight

0:16:35.520 --> 0:16:38.880
<v Speaker 4>percent as a familiar story. The forecast for that key

0:16:38.960 --> 0:16:43.480
<v Speaker 4>holiday period was lackluster, and you know, I think It's

0:16:43.480 --> 0:16:45.680
<v Speaker 4>an interesting one because we're just talking about door Dash

0:16:45.720 --> 0:16:48.360
<v Speaker 4>and Uber and this key final three months of the year.

0:16:48.560 --> 0:16:51.920
<v Speaker 4>Everyone is giving us different as signals about consumer behavior,

0:16:51.960 --> 0:16:54.480
<v Speaker 4>but investors do not like what eBay is saying about

0:16:54.560 --> 0:16:57.440
<v Speaker 4>its marketplace and platform. We'll keep tracking it. This has

0:16:57.480 --> 0:17:18.640
<v Speaker 4>been most technology cloud communications player. Twilio's third quarter earnings

0:17:18.720 --> 0:17:20.960
<v Speaker 4>beat all street estimates and the company has now raised

0:17:21.000 --> 0:17:25.120
<v Speaker 4>its full year revenue outlook. Here with more Twilio CEO

0:17:25.240 --> 0:17:29.920
<v Speaker 4>Cozama Ship Chandler turnaround plan seems to be working, Margins

0:17:29.920 --> 0:17:33.560
<v Speaker 4>are improving. There's been this call ay structuring since you

0:17:33.640 --> 0:17:37.000
<v Speaker 4>came in as CEO or jump to CEO, which bit

0:17:37.359 --> 0:17:38.200
<v Speaker 4>is working best?

0:17:38.720 --> 0:17:40.199
<v Speaker 9>Yeah, I wouldn't call it a restructuring.

0:17:40.240 --> 0:17:44.520
<v Speaker 10>I would say it's steady progress, really good financial discipline,

0:17:45.160 --> 0:17:48.200
<v Speaker 10>operating rigor, a lot of innovation focus. And I think

0:17:48.200 --> 0:17:50.520
<v Speaker 10>what you're starting to see is that show up in

0:17:50.640 --> 0:17:54.800
<v Speaker 10>terms of accelerated growth, and I think increasingly we're starting

0:17:54.840 --> 0:17:57.840
<v Speaker 10>to become a beneficiary of this AI wave.

0:17:58.520 --> 0:18:01.800
<v Speaker 4>Let's expand on the innovation. Part of the blackstory you

0:18:01.840 --> 0:18:04.320
<v Speaker 4>know with Twilio was investors who really want to see

0:18:04.400 --> 0:18:08.560
<v Speaker 4>sort of discipline and a growth plan. But you're doing

0:18:08.640 --> 0:18:10.439
<v Speaker 4>things in the world of technology that matter.

0:18:10.920 --> 0:18:13.639
<v Speaker 9>Yeah, I mean, I think you're starting to see margins.

0:18:13.160 --> 0:18:15.640
<v Speaker 10>Really improve over the last several years, which I think

0:18:15.680 --> 0:18:18.960
<v Speaker 10>has been exciting for investors, certainly been exciting for us.

0:18:19.440 --> 0:18:21.879
<v Speaker 10>I think on top of that, though, we've also seen

0:18:22.040 --> 0:18:25.119
<v Speaker 10>a real return to innovation. So we're making some really

0:18:25.160 --> 0:18:28.800
<v Speaker 10>focused bets in terms of where that innovation lies. And

0:18:28.840 --> 0:18:32.960
<v Speaker 10>for us, it's really about delivering for consumers Visa VR

0:18:33.040 --> 0:18:36.960
<v Speaker 10>customers personalization at scale, and what that really means is

0:18:37.160 --> 0:18:42.280
<v Speaker 10>how do we combine communications plus contextual data plus AI

0:18:42.600 --> 0:18:47.119
<v Speaker 10>to deliver these amazing consumer experiences through digital interactions.

0:18:46.720 --> 0:18:49.600
<v Speaker 4>Because the magic of television. Your IFB's popped out, feel

0:18:49.640 --> 0:18:51.600
<v Speaker 4>free to pop it back in. And I'll point out

0:18:51.960 --> 0:18:53.760
<v Speaker 4>that a lot of the cell side analysts have raised

0:18:53.760 --> 0:18:55.560
<v Speaker 4>price targets on this idea. I think they see a

0:18:55.560 --> 0:18:58.080
<v Speaker 4>clearer future just very quick. So I want carry to

0:18:58.080 --> 0:19:00.439
<v Speaker 4>come in. I think that's fair. There's a clear longer

0:19:00.520 --> 0:19:01.160
<v Speaker 4>term coffee.

0:19:01.760 --> 0:19:03.600
<v Speaker 10>Yeah, I do think so, and I think we feel

0:19:03.640 --> 0:19:07.199
<v Speaker 10>pretty optimistic about our long term growth ambitions. Obviously, we

0:19:07.240 --> 0:19:10.360
<v Speaker 10>want to balance our ability to grow the company as

0:19:10.359 --> 0:19:14.320
<v Speaker 10>well as drive ongoing profitability and free cash flow and

0:19:14.440 --> 0:19:16.399
<v Speaker 10>finding that balance really is the trick.

0:19:16.760 --> 0:19:18.160
<v Speaker 9>But as I look out.

0:19:17.920 --> 0:19:20.359
<v Speaker 10>And see what's happening in sort of this age of AI,

0:19:20.480 --> 0:19:22.360
<v Speaker 10>I think we're going to be one of the real beneficiaries.

0:19:22.560 --> 0:19:26.040
<v Speaker 3>Let's talk about monetizing that AI cousmurf. You can hear

0:19:26.080 --> 0:19:28.919
<v Speaker 3>me well, because Morgan Stanley says, look, it's encouraging this

0:19:29.000 --> 0:19:31.760
<v Speaker 3>AI product integration, but they want to see the monetization.

0:19:31.920 --> 0:19:32.800
<v Speaker 2>How do you turn that on?

0:19:34.080 --> 0:19:35.880
<v Speaker 10>I mean, I think the way that it happens is

0:19:35.880 --> 0:19:38.080
<v Speaker 10>is that we've got this great data asset that we

0:19:38.160 --> 0:19:41.680
<v Speaker 10>bought several years ago in Segment, and on kind of

0:19:41.720 --> 0:19:45.280
<v Speaker 10>a standalone basis, it's a relatively small piece of our revenue.

0:19:45.640 --> 0:19:48.520
<v Speaker 10>But the long term play here is is that what

0:19:48.680 --> 0:19:53.240
<v Speaker 10>Segment does is extract contextual data out of the businesses

0:19:53.240 --> 0:19:56.639
<v Speaker 10>that we serve and our ability to combine that with

0:19:56.760 --> 0:19:59.919
<v Speaker 10>communications capabilities and then use a little bit of a

0:20:00.280 --> 0:20:03.440
<v Speaker 10>to create that awesome consumer outcome on the other side.

0:20:03.440 --> 0:20:05.320
<v Speaker 9>Like, that's really what we're going for, And.

0:20:05.240 --> 0:20:07.879
<v Speaker 10>What it kind of means is is that whether it's you,

0:20:08.000 --> 0:20:10.160
<v Speaker 10>whether it's the two of us, or whether it's thousands

0:20:10.200 --> 0:20:13.720
<v Speaker 10>of other consumers all at the same time, us being

0:20:13.720 --> 0:20:18.600
<v Speaker 10>able to achieve that personalization as if a business knows

0:20:18.960 --> 0:20:21.439
<v Speaker 10>every single thing about us in the way that they

0:20:21.480 --> 0:20:22.240
<v Speaker 10>interact with us.

0:20:22.280 --> 0:20:23.199
<v Speaker 9>That's what we unlock.

0:20:23.400 --> 0:20:26.359
<v Speaker 3>It's really interesting you bring up that segment part because

0:20:26.400 --> 0:20:29.960
<v Speaker 3>that was the area of the business that activist investors

0:20:30.040 --> 0:20:32.680
<v Speaker 3>wanted you to shirk to sell off. There is still

0:20:32.720 --> 0:20:36.000
<v Speaker 3>some weakness within it. Are you standing by the decision

0:20:36.080 --> 0:20:38.240
<v Speaker 3>to keep it as part of Twilio and how do

0:20:38.240 --> 0:20:39.679
<v Speaker 3>you tell that story going forward?

0:20:40.680 --> 0:20:42.840
<v Speaker 10>Yeah, I mean, look, I think we've made progress in

0:20:42.880 --> 0:20:45.159
<v Speaker 10>that business. We made a number of commitments at the

0:20:45.200 --> 0:20:48.200
<v Speaker 10>start of the year in terms of what we intended

0:20:48.240 --> 0:20:51.480
<v Speaker 10>to do to improve the ongoing performance of that business.

0:20:51.800 --> 0:20:53.840
<v Speaker 10>We're very much on track to get that business to

0:20:53.920 --> 0:20:56.679
<v Speaker 10>break even. We've made a number of improvements in the

0:20:56.680 --> 0:20:59.760
<v Speaker 10>go to market capacity of that business. It's not like

0:20:59.800 --> 0:21:02.480
<v Speaker 10>our work has done yet, it's still kind of continues

0:21:02.520 --> 0:21:04.680
<v Speaker 10>to pace. Again, I think it's important to remember that

0:21:05.000 --> 0:21:07.639
<v Speaker 10>it's really less than seven percent of our revenues overall,

0:21:07.920 --> 0:21:10.560
<v Speaker 10>and so when you consider it in the totality of Twilio,

0:21:11.080 --> 0:21:14.640
<v Speaker 10>the business growth is reaccelerating, the margins have been fantastic,

0:21:15.040 --> 0:21:18.600
<v Speaker 10>free cash flows have been activating, and now segment really

0:21:18.640 --> 0:21:23.280
<v Speaker 10>becomes an activation engine for AI using data and communications.

0:21:23.359 --> 0:21:26.040
<v Speaker 4>Because the stock is up fifteen percent, on track for

0:21:26.040 --> 0:21:28.280
<v Speaker 4>his biggest jump since twenty twenty two, at one point,

0:21:28.560 --> 0:21:30.600
<v Speaker 4>biggest jump since twenty twenty. I know that this is

0:21:30.600 --> 0:21:33.480
<v Speaker 4>a technology show and that many executives on it are

0:21:33.560 --> 0:21:37.040
<v Speaker 4>very disciplined about talking about the stock. But the market's

0:21:37.080 --> 0:21:39.120
<v Speaker 4>rewarding you here. What do you make of it?

0:21:39.640 --> 0:21:42.240
<v Speaker 10>Look, I think we're making steady progress right and we're

0:21:42.240 --> 0:21:45.159
<v Speaker 10>not necessarily focused on the day to day movement of

0:21:45.200 --> 0:21:47.240
<v Speaker 10>the stock price. I think this is the long game

0:21:47.280 --> 0:21:50.760
<v Speaker 10>that we're fundamentally playing here, and I think the age

0:21:50.760 --> 0:21:52.600
<v Speaker 10>of AI is going to play out for a long

0:21:52.640 --> 0:21:53.280
<v Speaker 10>time to come.

0:21:53.680 --> 0:21:54.879
<v Speaker 9>That's what we're excited about.

0:21:54.960 --> 0:21:58.800
<v Speaker 10>How can we deliver for customers in a very personalized way,

0:21:58.880 --> 0:22:04.119
<v Speaker 10>again using communications plus contextual data plus AI to deliver

0:22:04.160 --> 0:22:05.560
<v Speaker 10>those amazing consumer outcomes.

0:22:06.119 --> 0:22:10.159
<v Speaker 3>Twillio, CEO Kozumership Chandler, thanks for joining us today on

0:22:10.240 --> 0:22:20.480
<v Speaker 3>the numbers. Welcome back to BlueBag Technology. I'm Caroline Hide

0:22:20.480 --> 0:22:21.800
<v Speaker 3>in New York, kind of ed.

0:22:21.800 --> 0:22:22.800
<v Speaker 2>Lovelo in San Francisco.

0:22:22.840 --> 0:22:24.639
<v Speaker 4>In terms of earnings and markets, car I'm going to

0:22:24.640 --> 0:22:27.280
<v Speaker 4>go to some of the crypto related stocks because there's

0:22:27.280 --> 0:22:29.640
<v Speaker 4>a lot to fit in. So coin based missed estimates

0:22:29.720 --> 0:22:32.280
<v Speaker 4>essentially in the quarter gone. And what they're talking about

0:22:32.359 --> 0:22:35.520
<v Speaker 4>is we're entering election week, there is volatility and crypto

0:22:35.560 --> 0:22:38.160
<v Speaker 4>assets and markets tied to that, but it's not really

0:22:38.160 --> 0:22:40.240
<v Speaker 4>clear whether they're going to benefit or not. We'll continue

0:22:40.240 --> 0:22:43.280
<v Speaker 4>to track it. Micro Strategy again, it's a name that

0:22:43.320 --> 0:22:45.760
<v Speaker 4>holds bitcoin in particular on its balance sheet and has

0:22:45.800 --> 0:22:48.639
<v Speaker 4>pledged to buy more bitcoin but saw a loss in

0:22:48.680 --> 0:22:51.000
<v Speaker 4>the quarter. Were one of the first companies to do that,

0:22:51.080 --> 0:22:54.240
<v Speaker 4>by the way. And when we think about bitcoin volatility, yes,

0:22:54.280 --> 0:22:56.920
<v Speaker 4>but still above seventy thousand dollars per token. Then there's

0:22:56.920 --> 0:22:59.960
<v Speaker 4>the megacaps. Much to discuss with them.

0:23:00.200 --> 0:23:02.920
<v Speaker 3>So much on the megacaps. Let's talk about Microsoft earnings.

0:23:02.960 --> 0:23:05.240
<v Speaker 3>You want to get back to it because it underwhelmed

0:23:05.240 --> 0:23:08.399
<v Speaker 3>the forecast for growth from as you're perhaps letting the

0:23:08.440 --> 0:23:10.240
<v Speaker 3>market down somewhat in terms of growth.

0:23:10.240 --> 0:23:13.600
<v Speaker 2>But Microsoft CEO Sati and Adella is continuing to talk.

0:23:13.520 --> 0:23:15.600
<v Speaker 3>Up the company's AI business on the earning school at

0:23:15.640 --> 0:23:16.720
<v Speaker 3>least just take a listen.

0:23:18.080 --> 0:23:18.640
<v Speaker 1>All up.

0:23:18.800 --> 0:23:22.360
<v Speaker 11>Our AI business is on track to surpass an annual

0:23:22.440 --> 0:23:26.120
<v Speaker 11>revenue run rate of ten billion dollars next quarter, which

0:23:26.160 --> 0:23:28.760
<v Speaker 11>will make it the fastest business in our history to

0:23:28.800 --> 0:23:31.040
<v Speaker 11>reach this milestone.

0:23:31.600 --> 0:23:32.560
<v Speaker 2>He's got big talk.

0:23:32.640 --> 0:23:34.920
<v Speaker 3>Let's analyze it with the BLUEBG intelligence Senior and this

0:23:35.080 --> 0:23:37.600
<v Speaker 3>manly saying Microsoft is such an interesting one.

0:23:37.440 --> 0:23:39.040
<v Speaker 2>Because the cores look great.

0:23:39.119 --> 0:23:41.560
<v Speaker 3>They're seeing as your growth back at thirty four percent,

0:23:41.560 --> 0:23:43.960
<v Speaker 3>and then the forecast was a little bit weaker and

0:23:44.000 --> 0:23:45.920
<v Speaker 3>it seems to be a capacity that's limited.

0:23:45.960 --> 0:23:46.960
<v Speaker 2>Here would you make of it?

0:23:47.400 --> 0:23:50.040
<v Speaker 12>Well, so look at the Google Cloud growth and all

0:23:50.080 --> 0:23:53.399
<v Speaker 12>these vendors are growing. You know, the core business is

0:23:53.400 --> 0:23:56.119
<v Speaker 12>growing north of twenty percent. When you take out the

0:23:56.200 --> 0:23:59.359
<v Speaker 12>AI element. In the case of Google Cloud, we saw

0:24:00.040 --> 0:24:02.720
<v Speaker 12>the growth accelerate to thirty five percent and that was

0:24:02.760 --> 0:24:05.760
<v Speaker 12>all powered by AI. In the case of Microsoft, they

0:24:05.920 --> 0:24:09.359
<v Speaker 12>did some resegmenting, so they took out some portion and

0:24:09.440 --> 0:24:11.960
<v Speaker 12>it's not a very clean number to see. Okay, AI

0:24:12.040 --> 0:24:15.719
<v Speaker 12>contribution was twelve percentage points, and that's where you know

0:24:16.400 --> 0:24:20.040
<v Speaker 12>whether it's behind Google Cloud. It's not very clear because

0:24:20.040 --> 0:24:23.240
<v Speaker 12>of the resegmenting. But net Net, you know, they called

0:24:23.359 --> 0:24:27.159
<v Speaker 12>out GPUs supply shortages when your capex is growing up

0:24:27.200 --> 0:24:29.679
<v Speaker 12>fifty percent, and that's where you have to ask for yourself,

0:24:29.800 --> 0:24:32.199
<v Speaker 12>what is the CAPEX being spent on then if you

0:24:32.240 --> 0:24:35.560
<v Speaker 12>don't have enough GPUs, are they spending more on facilities?

0:24:35.640 --> 0:24:38.560
<v Speaker 12>And you know it's hard to parse that out, but

0:24:39.040 --> 0:24:42.240
<v Speaker 12>Google didn't call that out, so you know, it'll be

0:24:42.280 --> 0:24:45.080
<v Speaker 12>interesting to see what Amazon does tonight in terms of

0:24:45.200 --> 0:24:49.080
<v Speaker 12>you know, their n radio allocation and how they are

0:24:49.119 --> 0:24:51.879
<v Speaker 12>framing you know, the capacity shortages when it comes to

0:24:51.920 --> 0:24:54.800
<v Speaker 12>the advanced accelerators. But that's what it comes down to,

0:24:55.000 --> 0:24:58.960
<v Speaker 12>is how much capacity do you have available for external

0:24:59.080 --> 0:25:02.600
<v Speaker 12>use versus what is open AI consuming internally for training?

0:25:03.640 --> 0:25:05.720
<v Speaker 4>A lot of that is geared towards the enterprise business,

0:25:05.800 --> 0:25:09.240
<v Speaker 4>right Mandy. Even with Microsoft, this is a company that's

0:25:09.240 --> 0:25:13.280
<v Speaker 4>been wonderful. It's selling software to consumers as well, particularly

0:25:13.359 --> 0:25:16.720
<v Speaker 4>software that sometimes you can get for free on other platforms.

0:25:17.080 --> 0:25:20.119
<v Speaker 4>Did you get any sense of the trajectory of consumer

0:25:20.160 --> 0:25:23.959
<v Speaker 4>adoption for these kind of AI Improved Office three sixty

0:25:24.040 --> 0:25:25.160
<v Speaker 4>five and products like.

0:25:25.119 --> 0:25:27.320
<v Speaker 1>That, I mean, very unlikely.

0:25:27.359 --> 0:25:29.960
<v Speaker 12>I don't think they want to focus on consumer right

0:25:29.960 --> 0:25:32.400
<v Speaker 12>now because the enterprise opportunity is so big.

0:25:32.440 --> 0:25:33.400
<v Speaker 13>And they called out you.

0:25:33.359 --> 0:25:38.439
<v Speaker 12>Know, separate products Copilot, Copilot, Studio, Agent studio, so they

0:25:38.440 --> 0:25:41.639
<v Speaker 12>are creating you know that bundle that Microsoft is so

0:25:41.760 --> 0:25:44.360
<v Speaker 12>good at selling, and I'm sure they'll get a lot

0:25:44.359 --> 0:25:48.400
<v Speaker 12>of traction. But in terms of separate AI contribution, which

0:25:48.440 --> 0:25:51.920
<v Speaker 12>is what I think Meta got penalized for last night,

0:25:52.040 --> 0:25:55.480
<v Speaker 12>is not having that separate AI contribution even though it's

0:25:55.480 --> 0:25:58.840
<v Speaker 12>getting reflected in their family of apps. That's what investors

0:25:58.840 --> 0:26:01.600
<v Speaker 12>are focused on because the topics increases are so big,

0:26:01.800 --> 0:26:05.119
<v Speaker 12>and these companies keep calling out skialing was so you know,

0:26:05.160 --> 0:26:08.119
<v Speaker 12>you have to find that ceiling. How much will their

0:26:08.160 --> 0:26:09.320
<v Speaker 12>cabex keep going up?

0:26:09.880 --> 0:26:12.720
<v Speaker 3>Need the transparency you help bring it. Bloomberg Intelligence Senior

0:26:12.800 --> 0:26:20.840
<v Speaker 3>analyst Mandat Singh.

0:26:23.119 --> 0:26:26.560
<v Speaker 4>As the election approaches, leading voices in technology and the

0:26:26.600 --> 0:26:29.359
<v Speaker 4>bench capital industry on both sides are throwing their weight

0:26:29.400 --> 0:26:32.720
<v Speaker 4>behind their preferred candidates, like Elon Musk appearing at a

0:26:32.800 --> 0:26:36.400
<v Speaker 4>Donald Trump rally just this past weekend. Today on Bloomberg Technology,

0:26:36.440 --> 0:26:38.439
<v Speaker 4>we're going to speak with Reid Hoffman. You perhaps know

0:26:38.560 --> 0:26:41.679
<v Speaker 4>him best as the co founder of LinkedIn, but the

0:26:41.680 --> 0:26:44.280
<v Speaker 4>billionaire and investors also part of a group of Silicon

0:26:44.359 --> 0:26:48.080
<v Speaker 4>Valley investors that are immersed in this presidential election, rallying

0:26:48.080 --> 0:26:51.280
<v Speaker 4>behind his or their favorite candidate in the race.

0:26:51.480 --> 0:26:52.360
<v Speaker 1>Kamala Harris.

0:26:52.760 --> 0:26:55.200
<v Speaker 4>Reid Hoffman joins US now and read thank you for

0:26:55.240 --> 0:26:59.280
<v Speaker 4>your time in coming on Bloomberg Technology. You know, the

0:26:59.560 --> 0:27:01.760
<v Speaker 4>pitch and the place is to keep this focused on tech.

0:27:02.359 --> 0:27:05.240
<v Speaker 4>So I would like to ask you why is Kamala

0:27:05.320 --> 0:27:09.720
<v Speaker 4>Harris the best candidate for the technology industry and bench

0:27:09.800 --> 0:27:11.439
<v Speaker 4>capitalists around the US.

0:27:13.640 --> 0:27:17.040
<v Speaker 14>Well, So, what the tech industry needs is kind of

0:27:17.040 --> 0:27:20.560
<v Speaker 14>a stable environment in order to you know, kind of

0:27:20.680 --> 0:27:24.119
<v Speaker 14>follow the rules and prosper in an ability because, by

0:27:24.160 --> 0:27:25.960
<v Speaker 14>the way, one of the things that the tech industry

0:27:25.960 --> 0:27:28.000
<v Speaker 14>brings to the US is a kind of a It's

0:27:28.040 --> 0:27:31.119
<v Speaker 14>one of our most successful global industries where most of

0:27:31.280 --> 0:27:35.240
<v Speaker 14>for example, the large tech companies get the vast majority

0:27:35.280 --> 0:27:38.919
<v Speaker 14>of the revenues overseas, like the majority and depends on

0:27:39.160 --> 0:27:43.919
<v Speaker 14>the business and and so good global relations. In addition

0:27:43.960 --> 0:27:46.760
<v Speaker 14>to stability and an ability to kind of know that

0:27:46.800 --> 0:27:49.480
<v Speaker 14>you're following a rule of law versus what I think

0:27:49.480 --> 0:27:54.280
<v Speaker 14>of as grifter capitalism, all of that leads to, like,

0:27:54.920 --> 0:27:57.280
<v Speaker 14>you know, the reason why I and others like me

0:27:58.200 --> 0:28:02.680
<v Speaker 14>support Vice President Harris for president because I think those

0:28:02.720 --> 0:28:05.560
<v Speaker 14>are the more fundamental things. Then you know whether or

0:28:05.560 --> 0:28:08.520
<v Speaker 14>not a corporate tax rate goes up or down a little. Obviously,

0:28:08.560 --> 0:28:11.520
<v Speaker 14>those can be important in other other times for business.

0:28:11.920 --> 0:28:15.480
<v Speaker 14>But that's the reason why I think within the technology industry,

0:28:15.520 --> 0:28:17.480
<v Speaker 14>I think it's a fairly clear choice.

0:28:18.520 --> 0:28:18.800
<v Speaker 1>Read.

0:28:18.920 --> 0:28:22.080
<v Speaker 4>We recently had SEC chair Gary Ginster on the program

0:28:22.920 --> 0:28:26.280
<v Speaker 4>and a part of the conversation for both candidates is

0:28:26.359 --> 0:28:30.640
<v Speaker 4>continuity at the FTC and the SEC. You've actually spoken publicly,

0:28:30.760 --> 0:28:34.440
<v Speaker 4>I think about both already, But what is your latest position.

0:28:34.720 --> 0:28:36.160
<v Speaker 2>On those two roles.

0:28:36.240 --> 0:28:39.480
<v Speaker 4>Lina Kahn and Gary Gensler if Kamala Harris were to

0:28:39.520 --> 0:28:41.480
<v Speaker 4>continue in the White House due to their impact on

0:28:41.520 --> 0:28:43.760
<v Speaker 4>the technology industry.

0:28:44.680 --> 0:28:45.840
<v Speaker 1>Well, let's see.

0:28:45.880 --> 0:28:49.480
<v Speaker 14>So first, since I've spoken, because I get asked a

0:28:49.480 --> 0:28:52.520
<v Speaker 14>lot about Lena Kahn, I've spoken more about Lena Kahan.

0:28:53.600 --> 0:28:56.120
<v Speaker 14>You know, one misconception of clear Up is I've never

0:28:56.200 --> 0:28:59.200
<v Speaker 14>ever talked to Kamala Harris or anyone in the White

0:28:59.200 --> 0:29:02.400
<v Speaker 14>House about Lena con for this. So this is entirely

0:29:02.440 --> 0:29:05.560
<v Speaker 14>a press set of stories where I'm asked about my.

0:29:05.840 --> 0:29:06.440
<v Speaker 1>Point of view.

0:29:06.760 --> 0:29:08.960
<v Speaker 14>And I think she's done a very good job on

0:29:09.080 --> 0:29:12.680
<v Speaker 14>a number of things, the anti compete stuff that click

0:29:12.760 --> 0:29:16.400
<v Speaker 14>to cancel and subscriptions, the number of things on M

0:29:16.400 --> 0:29:19.239
<v Speaker 14>and A speaking as a partner at Greylock and as

0:29:19.240 --> 0:29:22.640
<v Speaker 14>a Silicon Valley person who invests in companies trying to

0:29:22.720 --> 0:29:25.040
<v Speaker 14>create the next generation of large tech companies.

0:29:25.640 --> 0:29:28.200
<v Speaker 1>Her you know, kind of like waging.

0:29:27.840 --> 0:29:31.640
<v Speaker 14>War on M and A is actually, in fact as

0:29:31.760 --> 0:29:36.400
<v Speaker 14>unhelpful to the tech industry. It actually accomplishes something different

0:29:36.440 --> 0:29:39.240
<v Speaker 14>than what she thinks she's accomplishing. She thinks she's trying

0:29:39.240 --> 0:29:42.520
<v Speaker 14>to accomplish the you know, kind of the limitation of

0:29:42.520 --> 0:29:44.400
<v Speaker 14>the growth of the large tech companies, and actually, in

0:29:44.440 --> 0:29:47.480
<v Speaker 14>fact she's causing a lack of funding for any of

0:29:47.480 --> 0:29:50.120
<v Speaker 14>the companies that might potentially compete with them. And so

0:29:50.240 --> 0:29:53.160
<v Speaker 14>that's a that's a different thing, and that's the Lena Khan,

0:29:53.200 --> 0:29:55.280
<v Speaker 14>which I still have the same point of view, and

0:29:55.320 --> 0:29:57.280
<v Speaker 14>I've asked about it from anyone and from.

0:29:57.160 --> 0:29:58.160
<v Speaker 1>An Nextperti's point of view.

0:29:58.200 --> 0:30:01.080
<v Speaker 14>I will continue to say that Gary Gensler, I think

0:30:01.120 --> 0:30:03.880
<v Speaker 14>the question, and I know Gary, I've talked to him

0:30:03.880 --> 0:30:06.960
<v Speaker 14>from the MIT days, is how do you kind of

0:30:07.040 --> 0:30:11.000
<v Speaker 14>shift kind of a kind of approach to crypto that's

0:30:11.160 --> 0:30:14.680
<v Speaker 14>less kind of hit with stick and more of a

0:30:15.000 --> 0:30:17.160
<v Speaker 14>here's the set of rules that we could set out

0:30:17.240 --> 0:30:22.000
<v Speaker 14>that would create a beneficial technological investment that helps US

0:30:22.040 --> 0:30:26.360
<v Speaker 14>position globally, and I think it's been uneven, And so

0:30:26.440 --> 0:30:30.520
<v Speaker 14>I would hope that you know, Vice President Harris, who

0:30:30.560 --> 0:30:35.280
<v Speaker 14>grew up within the California tech community, understands the importance

0:30:35.320 --> 0:30:37.600
<v Speaker 14>of this kind of rule of law, you know, kind

0:30:37.640 --> 0:30:41.520
<v Speaker 14>of equal basis innovation economy. She talked about, you know,

0:30:41.600 --> 0:30:45.400
<v Speaker 14>kind of innovation opportunities. She's the only presidential candidate in

0:30:46.400 --> 0:30:49.600
<v Speaker 14>US history who's spoken about the importance of founders. And

0:30:49.680 --> 0:30:51.640
<v Speaker 14>so I hope that she would bring a kind of

0:30:51.640 --> 0:30:54.600
<v Speaker 14>a more innovation forward point of view here.

0:30:54.640 --> 0:30:56.480
<v Speaker 1>And you know, would anticipate that.

0:30:56.880 --> 0:30:59.400
<v Speaker 2>An innovation forward perspective.

0:30:59.760 --> 0:31:03.200
<v Speaker 3>Is that the key difference that you anticipate if hypothetically

0:31:03.240 --> 0:31:08.240
<v Speaker 3>we had Harris administration, a difference from the current Biden administration,

0:31:08.360 --> 0:31:09.640
<v Speaker 3>or where else might she differ?

0:31:10.760 --> 0:31:12.480
<v Speaker 1>Well, I think so.

0:31:12.480 --> 0:31:16.160
<v Speaker 14>So she has always brought a certain because of you know,

0:31:16.360 --> 0:31:19.280
<v Speaker 14>talk to her over the years, and this intellectual curiosity

0:31:19.280 --> 0:31:21.440
<v Speaker 14>to what's going on in the tech industry, how that

0:31:21.480 --> 0:31:23.920
<v Speaker 14>can help everyday Americans, how that can help the rest

0:31:23.920 --> 0:31:26.480
<v Speaker 14>of American industry. And so it's kind of like, look,

0:31:26.520 --> 0:31:29.960
<v Speaker 14>I realize that the tech industry is about innovation and

0:31:30.080 --> 0:31:32.320
<v Speaker 14>building new things and those building of new things or

0:31:32.360 --> 0:31:34.560
<v Speaker 14>new products and services. But there are also ways that

0:31:34.600 --> 0:31:37.360
<v Speaker 14>can help all of America. And those are the questions

0:31:37.400 --> 0:31:41.320
<v Speaker 14>that she's asked. Now Biden, who has done a number

0:31:41.320 --> 0:31:44.480
<v Speaker 14>of great things in his presidency. You know, he's controlled

0:31:44.480 --> 0:31:48.320
<v Speaker 14>inflation better than you know, post COVID, than any other

0:31:48.800 --> 0:31:52.080
<v Speaker 14>you know, kind of first world country in doing that,

0:31:52.120 --> 0:31:52.320
<v Speaker 14>and I.

0:31:52.280 --> 0:31:53.960
<v Speaker 13>Think has done a number of very good things.

0:31:54.280 --> 0:31:55.520
<v Speaker 1>But he has not been as.

0:31:55.400 --> 0:31:58.600
<v Speaker 14>Engaged with the tech industry, whereas I think, you know,

0:31:59.080 --> 0:32:03.040
<v Speaker 14>Vice President Harrises, including you know, kind of in her

0:32:03.160 --> 0:32:06.600
<v Speaker 14>very acceptance speech, has been And so I think that

0:32:06.600 --> 0:32:10.080
<v Speaker 14>that kind of of how do we engage in the

0:32:10.120 --> 0:32:12.880
<v Speaker 14>conversation and look, for example, what she did in the

0:32:13.160 --> 0:32:17.360
<v Speaker 14>artificial intelligence you know, regulation and executive order process she

0:32:17.480 --> 0:32:19.520
<v Speaker 14>ran that first thing she did is she brought the

0:32:19.560 --> 0:32:23.600
<v Speaker 14>companies into the White House to say, hey, we really

0:32:23.600 --> 0:32:27.240
<v Speaker 14>need you guys to be going foot forward on safety

0:32:27.280 --> 0:32:30.040
<v Speaker 14>and regulation. What kinds of things can you voluntarily commit to?

0:32:30.760 --> 0:32:32.160
<v Speaker 14>You know, I talked to the folks who were there.

0:32:32.200 --> 0:32:34.000
<v Speaker 14>She pushed them very hard on map. Then she looked

0:32:34.040 --> 0:32:36.560
<v Speaker 14>at okay, so this is what they can commit to.

0:32:36.720 --> 0:32:39.640
<v Speaker 14>Here's what we can put into an executive order law.

0:32:40.040 --> 0:32:42.480
<v Speaker 14>Here's what we can do to ongoing monitor to what

0:32:42.560 --> 0:32:46.400
<v Speaker 14>happened and leave room renovation. That's what I expect across

0:32:46.680 --> 0:32:49.760
<v Speaker 14>her approaching the entire technology industry with AI as the

0:32:49.760 --> 0:32:50.440
<v Speaker 14>instance of it.

0:32:51.120 --> 0:32:54.600
<v Speaker 3>Let's go to the other hypothetical, because she's engaging at

0:32:54.640 --> 0:32:58.320
<v Speaker 3>the moment with the tech community. But many would say

0:32:58.320 --> 0:33:01.680
<v Speaker 3>that Trump is very much engaging with technology community with

0:33:01.800 --> 0:33:03.160
<v Speaker 3>the amount that he's having.

0:33:03.040 --> 0:33:04.400
<v Speaker 2>Elon Musk on stage.

0:33:05.200 --> 0:33:09.160
<v Speaker 3>Is we see Musk taking a bigger role within a

0:33:09.200 --> 0:33:12.440
<v Speaker 3>future administration? What does that mean for you and and

0:33:12.640 --> 0:33:16.480
<v Speaker 3>ultimately for the relationship that Silicon Valley has with el

0:33:16.480 --> 0:33:17.120
<v Speaker 3>On the Musk.

0:33:18.880 --> 0:33:22.000
<v Speaker 14>Well, I think it depends on what the Trump administration,

0:33:22.120 --> 0:33:26.040
<v Speaker 14>what Elon does. I think you know, the the Trump

0:33:26.440 --> 0:33:31.400
<v Speaker 14>you know, Trump and Trump presidency won. You know, his

0:33:31.400 --> 0:33:34.440
<v Speaker 14>his early presidency has shown a certain amount of grifter capitalism.

0:33:34.480 --> 0:33:38.440
<v Speaker 14>It's like trying to penalize his opponents using the instruments

0:33:38.440 --> 0:33:41.040
<v Speaker 14>of state. You know, obviously, you know, we saw that

0:33:41.040 --> 0:33:44.920
<v Speaker 14>happen with Amazon, which probably is you know, no inside

0:33:44.960 --> 0:33:48.880
<v Speaker 14>knowledge that probably correlated with Bezos's you know, forbidding the

0:33:48.960 --> 0:33:53.479
<v Speaker 14>Washington Post from issuing a support statement and so It's

0:33:53.560 --> 0:33:55.640
<v Speaker 14>kind of like the if you're going to be individual

0:33:55.720 --> 0:33:59.800
<v Speaker 14>company retaliatory, It's part of what might underlie a terrorist

0:34:00.800 --> 0:34:03.920
<v Speaker 14>is I can choose like who I'm going out favors

0:34:03.960 --> 0:34:07.840
<v Speaker 14>to that does not create a good stable environment for

0:34:08.440 --> 0:34:10.799
<v Speaker 14>investing in, you know, kind of like you know, how

0:34:10.840 --> 0:34:13.880
<v Speaker 14>do you invest in an overall industry and ecosystem. And

0:34:13.960 --> 0:34:16.560
<v Speaker 14>so then the question, you know, would come down with Elon. Obviously,

0:34:16.640 --> 0:34:21.840
<v Speaker 14>Elon's businesses have great ties to government. I mean, the

0:34:22.080 --> 0:34:26.600
<v Speaker 14>whole space business is deeply tied to regulation and kind

0:34:26.640 --> 0:34:31.880
<v Speaker 14>of government contracts. UH Automobiles is also tied to a

0:34:31.920 --> 0:34:33.360
<v Speaker 14>bunch of regulatory frameworks.

0:34:34.000 --> 0:34:36.560
<v Speaker 1>Obviously, you know what's going on with you know.

0:34:36.560 --> 0:34:41.319
<v Speaker 14>Kind of media and information has ties there too, And

0:34:41.400 --> 0:34:44.920
<v Speaker 14>I think unfortunately X dot Com is the primary supporter

0:34:45.040 --> 0:34:48.040
<v Speaker 14>of conspiracy theories and you know other kinds of things,

0:34:48.640 --> 0:34:49.960
<v Speaker 14>which is a serious problem.

0:34:50.360 --> 0:34:51.480
<v Speaker 1>All of that, the question.

0:34:51.360 --> 0:34:53.319
<v Speaker 13>Is is, all right, well, does it continue to be.

0:34:53.320 --> 0:34:57.239
<v Speaker 14>Grifter capitalism which is calling out to specific companies, or

0:34:57.320 --> 0:34:58.160
<v Speaker 14>is it rule of law?

0:34:59.360 --> 0:35:02.360
<v Speaker 4>I read on X and conspiracy theories. Bloomberg did a

0:35:02.360 --> 0:35:05.719
<v Speaker 4>deep report, a data based piece of investigative journalism on

0:35:05.760 --> 0:35:08.120
<v Speaker 4>that recently, and in that segment on the show, which

0:35:08.120 --> 0:35:10.960
<v Speaker 4>you can find on YouTube. We gave X's point of view,

0:35:11.000 --> 0:35:13.120
<v Speaker 4>which is that they disagree with that. And if you

0:35:13.200 --> 0:35:15.720
<v Speaker 4>allow me to, I've invited Elon Musk onto this program

0:35:15.760 --> 0:35:19.720
<v Speaker 4>many times, and you are here and he's not. Something's

0:35:19.719 --> 0:35:22.480
<v Speaker 4>different in this election. You're a well known person in

0:35:22.520 --> 0:35:24.880
<v Speaker 4>the world of technology, but there are others on both

0:35:24.960 --> 0:35:29.200
<v Speaker 4>sides who are speaking out, in my experience, more prominently

0:35:29.239 --> 0:35:33.399
<v Speaker 4>than previously. Have there been any negative consequences of that.

0:35:33.480 --> 0:35:35.960
<v Speaker 4>For example, if you are a bench capitalist or a

0:35:36.000 --> 0:35:41.600
<v Speaker 4>CEO that publicly speaking about your political orientation and your

0:35:41.640 --> 0:35:44.319
<v Speaker 4>support of a candidate has resulted in a loss of

0:35:44.320 --> 0:35:46.920
<v Speaker 4>opportunity in deals or whatever it may be.

0:35:49.040 --> 0:35:51.759
<v Speaker 14>Well, I've seen and you know, I think, you know,

0:35:51.840 --> 0:35:54.480
<v Speaker 14>this is something that's this fraught. You know, I don't

0:35:54.480 --> 0:36:00.200
<v Speaker 14>think it's just you know, retaliation in business circumstances from

0:36:00.440 --> 0:36:03.520
<v Speaker 14>folks who are supporting Trump, like I saw, you know,

0:36:03.600 --> 0:36:06.840
<v Speaker 14>kind of you know, when vcs were speaking out, some

0:36:07.120 --> 0:36:11.560
<v Speaker 14>LPs were very supportive of Trump, not at gray Lock

0:36:11.640 --> 0:36:15.799
<v Speaker 14>in this, but in other firms kind of uh, you know,

0:36:15.880 --> 0:36:20.040
<v Speaker 14>withdrew their support from the venture firms. I've seen other

0:36:20.120 --> 0:36:25.160
<v Speaker 14>kinds of things where you know, people you know kind

0:36:25.200 --> 0:36:29.200
<v Speaker 14>of uh, you know, kind of business relationships of soured

0:36:29.239 --> 0:36:31.320
<v Speaker 14>because of it, you know, which I think is very unfortunate.

0:36:31.400 --> 0:36:33.719
<v Speaker 14>I mean, I actually think the part of what we

0:36:33.719 --> 0:36:37.480
<v Speaker 14>should aspire to as Americans and as business people is

0:36:37.520 --> 0:36:40.239
<v Speaker 14>to is to kind of say, hey, look, what we

0:36:40.239 --> 0:36:42.319
<v Speaker 14>should do is say what's the thing that we do

0:36:42.480 --> 0:36:47.520
<v Speaker 14>to make American business and American industry better? And you know,

0:36:47.560 --> 0:36:52.040
<v Speaker 14>like I've I've I've heard of Republican senators trash talking

0:36:52.120 --> 0:36:55.960
<v Speaker 14>me internationally where you know, you think they'd be supportive

0:36:56.280 --> 0:36:59.040
<v Speaker 14>of American business people. So I think that there is

0:37:00.080 --> 0:37:02.480
<v Speaker 14>I think there are consequences of it, which you know,

0:37:02.520 --> 0:37:06.240
<v Speaker 14>I think is unfortunate. But I think it's more important

0:37:06.280 --> 0:37:10.160
<v Speaker 14>to be, you know, kind of patriotic about what is

0:37:10.200 --> 0:37:14.239
<v Speaker 14>good for America, American industry, and American society even when.

0:37:14.160 --> 0:37:14.799
<v Speaker 1>You have this fear.

0:37:15.800 --> 0:37:20.280
<v Speaker 3>Let's talking about the souring of certain relationships. The first

0:37:20.280 --> 0:37:22.000
<v Speaker 3>one that comes to my mind is the souring of

0:37:22.000 --> 0:37:25.680
<v Speaker 3>the relationship of who was a co founder of open ai,

0:37:25.800 --> 0:37:28.800
<v Speaker 3>Elon Musk and now open ai more.

0:37:28.680 --> 0:37:30.240
<v Speaker 2>Explicitly in its new form.

0:37:30.680 --> 0:37:33.719
<v Speaker 3>Have you spoken to Sam Altman about and indeed open

0:37:33.760 --> 0:37:36.640
<v Speaker 3>ai about the worries of Elon Musk, who seems to

0:37:36.680 --> 0:37:40.920
<v Speaker 3>have a dislike for the business, if he took a

0:37:40.920 --> 0:37:43.560
<v Speaker 3>more prominent role within the administration, what would it look

0:37:43.600 --> 0:37:45.880
<v Speaker 3>like for AI more broadly to have Elon Musk in

0:37:45.920 --> 0:37:46.720
<v Speaker 3>a position of power.

0:37:48.480 --> 0:37:51.840
<v Speaker 14>Well, one of the things that I would worry about

0:37:52.000 --> 0:37:54.799
<v Speaker 14>if Elon took a more prominent role is that he

0:37:54.800 --> 0:37:58.640
<v Speaker 14>would view that the only real success for you know,

0:37:58.800 --> 0:37:59.400
<v Speaker 14>the AI.

0:37:59.200 --> 0:38:00.560
<v Speaker 1>Industry is if he is doing it.

0:38:00.600 --> 0:38:04.480
<v Speaker 14>I mean, this is part of the question around the

0:38:04.520 --> 0:38:07.440
<v Speaker 14>fact that he's kind of doing these baseless lawsuits against

0:38:07.480 --> 0:38:10.879
<v Speaker 14>open AI that are you know, kind of like, well,

0:38:10.920 --> 0:38:13.640
<v Speaker 14>I gave money philanthropically and I should kind of cut

0:38:14.040 --> 0:38:18.040
<v Speaker 14>of what then turns into commercial, which is by the way, illegal, right,

0:38:18.480 --> 0:38:23.279
<v Speaker 14>and so you know, so that kind of of of

0:38:23.960 --> 0:38:28.200
<v Speaker 14>of issue might then rear its head in this kind

0:38:28.200 --> 0:38:32.120
<v Speaker 14>of tradition of you know, kind of Trump's grifter or capitalism.

0:38:32.719 --> 0:38:36.040
<v Speaker 14>I would hope that actually, in fact, if if Elon

0:38:36.400 --> 0:38:38.439
<v Speaker 14>were to accept a role, that he would go, look,

0:38:38.440 --> 0:38:40.600
<v Speaker 14>what I care about is all of them, you know,

0:38:40.680 --> 0:38:44.400
<v Speaker 14>the tech sector of American industry, not just my own efforts.

0:38:45.000 --> 0:38:47.319
<v Speaker 13>And I think we'd have to see what would play out.

0:38:47.360 --> 0:38:51.640
<v Speaker 4>Then the latest on the listigation between the two I

0:38:51.640 --> 0:38:54.520
<v Speaker 4>believe is also the eighth when open AI accused Elon

0:38:54.600 --> 0:38:57.239
<v Speaker 4>Musk of harassment in that legal fight, and again we've

0:38:57.239 --> 0:38:59.040
<v Speaker 4>covered it on this program Read and we'll go back

0:38:59.080 --> 0:39:04.239
<v Speaker 4>to it. Is AI and regulation of AI being discussed

0:39:04.360 --> 0:39:07.360
<v Speaker 4>enough in this election by either candidate.

0:39:09.280 --> 0:39:12.640
<v Speaker 14>Well, I'm not sure that it's the most central thing

0:39:12.920 --> 0:39:17.080
<v Speaker 14>for kind of the general American society at the moment. Look,

0:39:17.080 --> 0:39:19.880
<v Speaker 14>I think the how we get the benefits of AI

0:39:20.120 --> 0:39:23.840
<v Speaker 14>for American industry, American society, American consumers, I think is

0:39:23.880 --> 0:39:26.759
<v Speaker 14>really important. And one of the things about regulation is

0:39:26.800 --> 0:39:29.280
<v Speaker 14>it tends to slow down innovation, it tends to delay

0:39:29.320 --> 0:39:32.719
<v Speaker 14>and I think our tools for getting a medical assistant

0:39:32.800 --> 0:39:36.800
<v Speaker 14>on every smartphone, a tutor on every smartphone for every

0:39:37.280 --> 0:39:40.799
<v Speaker 14>American and maybe even more globally, I think those are

0:39:40.800 --> 0:39:42.560
<v Speaker 14>the important things to be trying to get to. And

0:39:42.600 --> 0:39:46.200
<v Speaker 14>that's less of a discussion about, you know, AI in

0:39:46.239 --> 0:39:49.960
<v Speaker 14>the election, but more kind of a like we should

0:39:49.960 --> 0:39:51.240
<v Speaker 14>be building towards the future.

0:39:52.320 --> 0:39:54.920
<v Speaker 4>Read. Ifdent former President Trump were to get a second

0:39:55.000 --> 0:39:57.759
<v Speaker 4>term in office, how are you preparing for that and

0:39:57.800 --> 0:39:59.000
<v Speaker 4>how do you approach it?

0:39:59.239 --> 0:40:00.480
<v Speaker 1>Were that to be the A case.

0:40:02.360 --> 0:40:04.640
<v Speaker 14>Well, if that's the case, then I would hope for

0:40:04.719 --> 0:40:07.600
<v Speaker 14>the folks who who have argued to me that, you know,

0:40:07.800 --> 0:40:11.680
<v Speaker 14>you shouldn't actually in fact take President Trump's words seriously.

0:40:11.880 --> 0:40:13.880
<v Speaker 14>That the fact that he is declaring a you know,

0:40:13.960 --> 0:40:16.600
<v Speaker 14>like a tariff war where you can do individual kind

0:40:16.600 --> 0:40:19.080
<v Speaker 14>of grifter capitalism, but that's actually not what.

0:40:19.040 --> 0:40:19.560
<v Speaker 1>He's going to do.

0:40:19.600 --> 0:40:22.040
<v Speaker 14>That he's going to try to be more business forward,

0:40:22.120 --> 0:40:25.160
<v Speaker 14>more technology forward, and you should not be paying attention

0:40:25.600 --> 0:40:27.680
<v Speaker 14>to what his words are. I would hope that they

0:40:27.719 --> 0:40:31.040
<v Speaker 14>would be they would be correct if it ends up

0:40:31.120 --> 0:40:34.319
<v Speaker 14>being what I fear, which is actually in fact a

0:40:34.800 --> 0:40:37.560
<v Speaker 14>you know, kind of an individual kind of uh, you know,

0:40:37.840 --> 0:40:41.200
<v Speaker 14>like sweating various businesses for his own kind of political favor.

0:40:42.000 --> 0:40:44.520
<v Speaker 14>I think that will affect American industry in a way

0:40:44.520 --> 0:40:47.960
<v Speaker 14>that will affect American prosperity. And so I think you

0:40:48.040 --> 0:40:50.759
<v Speaker 14>have to you have to you build in more resilience

0:40:50.800 --> 0:40:53.840
<v Speaker 14>to chaos an uncertainty, and that's what you would do.

0:40:53.920 --> 0:40:57.359
<v Speaker 14>I'm obviously very hopeful that Vice President Harris will win

0:40:57.400 --> 0:41:02.080
<v Speaker 14>the election, and so therefore haven't done enormous contingency planning yet.

0:41:02.760 --> 0:41:05.239
<v Speaker 3>We want to thank you so much for your perspective

0:41:05.239 --> 0:41:09.640
<v Speaker 3>today as you do. Indeed back Vice Paradison and Harris

0:41:10.120 --> 0:41:13.240
<v Speaker 3>for the administration is the future, Gray Lot partner Reid Hoffman,

0:41:13.480 --> 0:41:16.160
<v Speaker 3>we appreciate it, ed Okay.

0:41:16.200 --> 0:41:19.400
<v Speaker 4>Today's Big Take focuses on how Amazon is working to

0:41:19.400 --> 0:41:23.400
<v Speaker 4>make its Alexa devices a force in artificial intelligence. CEO

0:41:23.480 --> 0:41:26.759
<v Speaker 4>Andy jasse is eager to take on chat GPT with

0:41:26.840 --> 0:41:30.120
<v Speaker 4>the voice assistant that Amazon's claims is in one quarter

0:41:30.560 --> 0:41:34.319
<v Speaker 4>of US households, but technical challenges are slowing the company down.

0:41:34.600 --> 0:41:37.839
<v Speaker 4>Bloomberg's Austin carr Co wrote the Big Take, we are

0:41:37.880 --> 0:41:41.200
<v Speaker 4>an Alexa household that I'm using Chat GPT four oh,

0:41:41.280 --> 0:41:44.160
<v Speaker 4>voice inputs, so much more meta AI through the ray

0:41:44.200 --> 0:41:48.720
<v Speaker 4>banned glasses. It's an incredible dissection of the struggle Amazon

0:41:48.800 --> 0:41:50.800
<v Speaker 4>is having bringing Alexa into that field.

0:41:52.080 --> 0:41:53.160
<v Speaker 1>Yeah, it's pretty wild.

0:41:53.360 --> 0:41:55.640
<v Speaker 15>I mean just think it's been already almost two years

0:41:55.640 --> 0:42:00.360
<v Speaker 15>since chat GPT launched. Meanwhile, Microsoft, Google, even Apple have

0:42:00.440 --> 0:42:03.160
<v Speaker 15>rolled out a lot of AI tools and we haven't

0:42:03.160 --> 0:42:06.279
<v Speaker 15>really seen anything from Amazon despite them having more than

0:42:06.320 --> 0:42:09.360
<v Speaker 15>a decade lead in the chat bond space. You know,

0:42:09.360 --> 0:42:13.000
<v Speaker 15>they're in five hundred million some households with their devices,

0:42:13.280 --> 0:42:16.680
<v Speaker 15>but they've been struggling to move that old Alexa brain

0:42:16.800 --> 0:42:20.560
<v Speaker 15>to sort of a new LLM large language model approach.

0:42:21.400 --> 0:42:23.680
<v Speaker 15>And they've been dealing internally, based on the sources we're

0:42:23.680 --> 0:42:27.080
<v Speaker 15>talking to, with tons of hallucinations, with struggles with basic

0:42:27.160 --> 0:42:29.520
<v Speaker 15>tax The old Alexa used to be good at, like

0:42:29.560 --> 0:42:32.040
<v Speaker 15>turning on and off lights. And it's been really fascinating

0:42:32.040 --> 0:42:34.000
<v Speaker 15>to watch this company that is, you know, famous for

0:42:34.160 --> 0:42:38.160
<v Speaker 15>data infrastructure for cloud computing with AWS and with Alexa

0:42:38.320 --> 0:42:41.120
<v Speaker 15>A really fall behind in this AI war, and there's

0:42:41.160 --> 0:42:43.080
<v Speaker 15>a lot of questions among the sources we talked to

0:42:43.760 --> 0:42:45.839
<v Speaker 15>over whether or not they'll be able to catch up.

0:42:46.760 --> 0:42:48.680
<v Speaker 3>What's so great about the way you write is you

0:42:48.719 --> 0:42:51.360
<v Speaker 3>make it interesting and personal. We all know Andy Jesse,

0:42:51.920 --> 0:42:55.040
<v Speaker 3>of course, the leader of Amazon, is a big sports fan,

0:42:55.160 --> 0:42:57.200
<v Speaker 3>and you talk about how he keeps plodding the Alexa

0:42:57.280 --> 0:43:00.320
<v Speaker 3>with sports questions, and it just hallucinates in that effect,

0:43:00.440 --> 0:43:04.480
<v Speaker 3>particularly about up to the moment results. What therefore are

0:43:04.480 --> 0:43:06.880
<v Speaker 3>we seeing in terms of further investment, What are we

0:43:06.880 --> 0:43:09.680
<v Speaker 3>seeing in terms of eventual rollout.

0:43:10.880 --> 0:43:13.240
<v Speaker 15>It's TVD at this point, but our sources are indicating

0:43:13.239 --> 0:43:16.319
<v Speaker 15>that it's actually been repeatedly pushed back. There was an

0:43:16.360 --> 0:43:19.239
<v Speaker 15>early target in twenty twenty early twenty twenty four. Then

0:43:19.280 --> 0:43:21.759
<v Speaker 15>it was moved back month by month, most recently in

0:43:21.760 --> 0:43:24.160
<v Speaker 15>October they were hoping to launch it. They scrap that

0:43:24.239 --> 0:43:27.880
<v Speaker 15>event and they've replaced it with a smaller Kindle rollout.

0:43:28.440 --> 0:43:30.720
<v Speaker 15>So sourts are telling us this could actually be their target.

0:43:30.719 --> 0:43:33.759
<v Speaker 15>Deadline is being kicked back into twenty twenty five, which

0:43:33.840 --> 0:43:35.719
<v Speaker 15>really puts them behind the ball. But again, it's all

0:43:35.719 --> 0:43:38.600
<v Speaker 15>these technical challenges they're facing. It's not a matter of

0:43:38.640 --> 0:43:43.719
<v Speaker 15>necessarily buoucracy or some lack of overall goal. They're really

0:43:43.760 --> 0:43:45.960
<v Speaker 15>marghaling at troops toward this, and they're really running into

0:43:46.080 --> 0:43:49.640
<v Speaker 15>challenges with again making sure sort of an LLLM can

0:43:49.680 --> 0:43:52.719
<v Speaker 15>do basic tasks like you know, all the tasks that

0:43:52.719 --> 0:43:54.960
<v Speaker 15>you asked it to do around your home. Lms are

0:43:54.960 --> 0:43:58.000
<v Speaker 15>actually not particularly good at that. And with the hallucinations

0:43:58.080 --> 0:44:00.640
<v Speaker 15>with all these devices and homes of families, kids, you

0:44:00.680 --> 0:44:03.759
<v Speaker 15>don't want it spewing off sort of information that's provocative

0:44:03.880 --> 0:44:06.520
<v Speaker 15>or the list that can be a really reputational cause

0:44:06.520 --> 0:44:09.040
<v Speaker 15>a lot of reputational damage for Amazon and the Alexa brand.

0:44:10.280 --> 0:44:12.360
<v Speaker 4>There's this great academic debate we could have, but we

0:44:12.400 --> 0:44:15.080
<v Speaker 4>don't have time about the best hardware form factor to

0:44:15.280 --> 0:44:18.799
<v Speaker 4>use AI models in the voice system form. The other

0:44:18.840 --> 0:44:20.839
<v Speaker 4>bit of news is there is a timeline delay into

0:44:20.880 --> 0:44:23.200
<v Speaker 4>twenty twenty five. Just tell us what you understand. The

0:44:23.280 --> 0:44:26.200
<v Speaker 4>team is working to Amazon to get this into the

0:44:26.200 --> 0:44:26.760
<v Speaker 4>real world.

0:44:27.880 --> 0:44:30.560
<v Speaker 15>So the big challenge right now is merging that old

0:44:30.600 --> 0:44:32.960
<v Speaker 15>brand with the new brain. There's a lot of argument

0:44:32.960 --> 0:44:35.680
<v Speaker 15>about whether they should just scrap the old Amazon approach

0:44:35.840 --> 0:44:38.839
<v Speaker 15>and move to the sort of an LLM model that chat,

0:44:38.840 --> 0:44:43.200
<v Speaker 15>GPT and meta or using. But they're trying to do

0:44:43.239 --> 0:44:45.600
<v Speaker 15>this hybrid approach and that takes a lot of custom

0:44:45.680 --> 0:44:47.880
<v Speaker 15>code to make sure you know, when I ask it

0:44:47.920 --> 0:44:50.399
<v Speaker 15>to do a request it can deliver that it knows

0:44:50.400 --> 0:44:52.560
<v Speaker 15>my permissions, it knows that I have access to this

0:44:52.680 --> 0:44:55.680
<v Speaker 15>light bulb or this kitchen time or this microwave. And

0:44:55.719 --> 0:44:58.719
<v Speaker 15>that's the irony is that all the stuff that Amazon

0:44:58.960 --> 0:45:02.040
<v Speaker 15>Alexa is actually re good at are very simple tasks,

0:45:02.160 --> 0:45:05.440
<v Speaker 15>and that's what lms are not particularly adept at.

0:45:05.640 --> 0:45:08.560
<v Speaker 3>Bloomberg's Austin Carr, it's a great read. Thank you for

0:45:08.600 --> 0:45:11.239
<v Speaker 3>bringing it to us. Meanwhile, that does it for this

0:45:11.400 --> 0:45:14.759
<v Speaker 3>edition of Bloomberg Technology and Ed. We've got earnings like

0:45:14.800 --> 0:45:17.880
<v Speaker 3>Amazon after the Bell. But an important conversation coming up tomorrow.

0:45:18.560 --> 0:45:22.680
<v Speaker 4>Yeah, today the Democratic perspective. Tomorrow the Republican vivet Ramaswami,

0:45:22.760 --> 0:45:25.840
<v Speaker 4>a surrogate or backer or booster for Trump, will be

0:45:25.880 --> 0:45:28.640
<v Speaker 4>on the program to give his take on the technology

0:45:28.640 --> 0:45:31.279
<v Speaker 4>discussion to be had for either candidate. But you should

0:45:31.320 --> 0:45:34.000
<v Speaker 4>recap on the podcast. It was a pack show. It

0:45:34.120 --> 0:45:36.640
<v Speaker 4>was crazy. You know where to find it. Cara and

0:45:36.680 --> 0:45:39.440
<v Speaker 4>the team in New York. Everyone here in SF. Wow,

0:45:39.640 --> 0:45:41.320
<v Speaker 4>this was a great Bloomberg technology