WEBVTT - Earnings Round-Up, Creating With AI

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<v Speaker 1>From Marhart where Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde.

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<v Speaker 2>And Ed Ludlow.

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<v Speaker 3>Live from London for the Bloomberg Technology Summit. I'm Caroline Hyde.

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<v Speaker 2>And I'm Ed Ludlow in San Francisco. This is Bloomberg Technology.

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<v Speaker 3>Coming up. We'll have full earnings coverage.

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<v Speaker 4>Ahead is Spotify reports the results, and Google and Microsoft

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<v Speaker 4>we're going to.

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<v Speaker 3>Deliver after the bell, We've got you covered.

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<v Speaker 2>Plus, we'll hear from Reddick co founder Alexis o'hanian to

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<v Speaker 2>talk his investments in AI and crypto are they living

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<v Speaker 2>up to the hype?

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<v Speaker 4>And with the Bloomberg Tech Summit underway in London, we'll

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<v Speaker 4>hear from executives from Anthropic Delivery and so much more so.

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<v Speaker 2>After the bell we get the giants Microsoft in alphabet.

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<v Speaker 2>There's going to be interested in the cloud division of

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<v Speaker 2>those two names, right, There always is, But there will

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<v Speaker 2>also be intense interests in artificial intelligence. I guess by

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<v Speaker 2>this stage we ask how is that showing up in sales?

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<v Speaker 2>All of the R and D and investment in large

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<v Speaker 2>language or foundation models, are they actually making any money

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<v Speaker 2>from it? Top of mine right now is what's top

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<v Speaker 2>of the list. Spotify on track for its biggest jump

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<v Speaker 2>since January thirty first of this year, trading near its

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<v Speaker 2>highest level since July. Top line beat, bottom line beat,

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<v Speaker 2>premium subscriber beat, monthly active users beat. Let's get straight

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<v Speaker 2>to the details with Bloomberg's Ashley Carmen and Ashley I

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<v Speaker 2>guess the question is what is in the earnings playlist

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<v Speaker 2>for Spotify? What were the top numbers?

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<v Speaker 5>Yeah, so the big headline item is that Spotify turn

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<v Speaker 5>to profit in the third quarter at thirty two million

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<v Speaker 5>euro and that definitely was a surprise for analysts who

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<v Speaker 5>were expecting a pretty significant loss.

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<v Speaker 4>And they'd say it's an inflection point.

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<v Speaker 3>Can you tell us what really been the drivers of

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<v Speaker 3>growth here?

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<v Speaker 5>Yeah, for sure.

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<v Speaker 6>So over the past year, we've seen significant cost reduct

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<v Speaker 6>whether it be looking to lease real estate that they

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<v Speaker 6>previously rented, significant calling back on their podcast efforts, all

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<v Speaker 6>of that. Plus in July they initiated their first price

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<v Speaker 6>hikes on their standard plan in quite a while, which

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<v Speaker 6>we're starting to see some of the revenue growth from

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<v Speaker 6>that decision.

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<v Speaker 2>Actually here on Bluemog Technology, we've talked a lot about

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<v Speaker 2>what they've been doing in the artificial intelligence contexts and

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<v Speaker 2>in the podcast context And it's interesting, right because they

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<v Speaker 2>kind of did not green light some projects. They made

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<v Speaker 2>cost cuts, headcount reduction, but if you look at the

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<v Speaker 2>earnings that's showing up in a positive way.

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<v Speaker 3>Totally.

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<v Speaker 6>Yeah, they are really mentioning this year as their quote

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<v Speaker 6>unquote efficient year. They're really trying to find all these

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<v Speaker 6>different efficiencies, whether it be through AI, but really truly

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<v Speaker 6>through this cost cutting and trying to make sure they're

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<v Speaker 6>delivering on the businesses that they're pursuing.

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<v Speaker 4>Well, we see total active views as well as some

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<v Speaker 4>twenty six percent more than half billion. It's clear that

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<v Speaker 4>we're seeing some well key year of efficiency starting to

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<v Speaker 4>benefit in terms of growth too. Actually, Carmen, it's great

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<v Speaker 4>to have some time with you, thank you very much,

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<v Speaker 4>and deep breaking down the Spotify numbers and in need

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<v Speaker 4>the rally that we saw in the shares and and look,

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<v Speaker 4>that just sets us up for why there is so

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<v Speaker 4>much optimism around some of these big tech names that

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<v Speaker 4>are set to report after the bell, Microsoft.

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<v Speaker 3>Alphabet of course, parent at Google going to be coming

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<v Speaker 3>a little bit later.

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<v Speaker 4>Let's bring in Ana agran Or a Bloomberg intelligence for

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<v Speaker 4>what we can expect from Microsoft first and are we

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<v Speaker 4>expecting key revenue growth here as well?

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<v Speaker 7>Yeah, you know, the number really to catch for is

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<v Speaker 7>their cloud revenue. I mean it's a slight deceleration from

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<v Speaker 7>last quarter, but guidance for next quarter I think is

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<v Speaker 7>going to be really critical because in the software world,

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<v Speaker 7>Microsoft is the you know, the biggest player in AI

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<v Speaker 7>or anything generated AI right now. So I think that's

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<v Speaker 7>really where our eyes are going to be, our years

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<v Speaker 7>are going to be. You know, when they talk about

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<v Speaker 7>guidance for next quarter.

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<v Speaker 2>You know the battleground that I love to track and

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<v Speaker 2>a rag is the hyper scale cloud, right and I

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<v Speaker 2>think sure it's topline growth forecasts for around twenty seven percent.

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<v Speaker 2>I know we're so excited about artificial intelligence, we genuinely are,

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<v Speaker 2>but ultimately, how much do you focus on the bread

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<v Speaker 2>and butter business?

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<v Speaker 8>See?

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<v Speaker 7>Right now, the bread and burder business is not going

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<v Speaker 7>to accelerate the way the cloud should over the next

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<v Speaker 7>twelve to eighteen months. So that's why we really trying

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<v Speaker 7>trying to figure out if enterprise customers are still in

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<v Speaker 7>the cost cutting mode or have they started to invest

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<v Speaker 7>Because that data point I think is the single most

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<v Speaker 7>important thing for technology companies because unless that happens, you know,

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<v Speaker 7>you're not going to see a recovery in a lot

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<v Speaker 7>of these valuations that have gotten beaten up over the

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<v Speaker 7>last you know, couple of I would say, what.

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<v Speaker 4>Was what about spending at the moment? Anak how much

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<v Speaker 4>are they willing to be investing in their own business?

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<v Speaker 4>Because boy, they've been investing in open Ai.

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<v Speaker 7>Yeah, see the investment part I am. I personally, I

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<v Speaker 7>am not concerned about whether you know, I think it's

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<v Speaker 7>going to remain strong for all cloud providers only because

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<v Speaker 7>the backlog or the long term models are still there.

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<v Speaker 7>People need to invest and you know, move away from

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<v Speaker 7>on premise infrastructure. So I'm not concerned about CAPEX as

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<v Speaker 7>much as some you know, maybe investors are. But you know,

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<v Speaker 7>from my site, I think it's going to continue for

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<v Speaker 7>for many years to come.

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<v Speaker 2>All Right, I was being a bit sassy about cloud

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<v Speaker 2>and artifisial intelligence. Get it sasy software as a anyway,

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<v Speaker 2>Anna rag Rana of Bloomberg Intelligence, thank you very much.

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<v Speaker 2>Let's get at Google's results after Caroline love that I

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<v Speaker 2>know I knew you with all right, hard pivot Google's

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<v Speaker 2>after the bell. Who else is here but Mandy seeper

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<v Speaker 2>Bloomberg Intelligence, Mandy ads it's going to be a story

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<v Speaker 2>of how the ad business is done. We talked just

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<v Speaker 2>there about the sort of bread and butter business for Microsoft.

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<v Speaker 2>Is that what Bloomberg Intelligence looks for in Google's context

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<v Speaker 2>as well?

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<v Speaker 9>Yeah, and to me, you know, the bogie for YouTube

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<v Speaker 9>is quite low. When you think about Search, you know,

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<v Speaker 9>growing at nine percent consensus expectations and YouTube at ten percent.

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<v Speaker 9>You have to wonder why is YouTube not growing faster

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<v Speaker 9>when Meta is expected to grow twenty one percent? And

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<v Speaker 9>the real comparison here is YouTube shorts versus Meta reels.

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<v Speaker 9>Meta reels we know is a ten billion dollars run

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<v Speaker 9>read business. They have three exit over the last twelve months.

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<v Speaker 9>I think investors want to know what's going on with

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<v Speaker 9>YouTube shorts and if it's going to drive that top

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<v Speaker 9>line growth. And on the cloud side, I mean, look,

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<v Speaker 9>I mentioned about large anguid models. The good thing with

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<v Speaker 9>Google Cloud is they don't have a legacy business where

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<v Speaker 9>you know, Google Cloud is going to cannibalize its legacy business.

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<v Speaker 9>It's all incremental revenue from AI and large anglid models.

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<v Speaker 9>And I think if they give any details around the

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<v Speaker 9>licensing of their large anguid models, that would be quite interesting.

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<v Speaker 3>Mandid.

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<v Speaker 4>There was a lot of handwringing though previous couple of

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<v Speaker 4>quarters about well the competitive threat that generator of AI

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<v Speaker 4>certainly maybe coming from being Finally have they managed to

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<v Speaker 4>shake off any anxiety that search is going to be

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<v Speaker 4>upended here?

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<v Speaker 9>I mean, Caroline, this search is one business that has

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<v Speaker 9>still the strongest mode. And granted, you know GPT got traffic,

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<v Speaker 9>you know, the one hundred million users, but when you

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<v Speaker 9>look at the ad revenue, I don't think it's gonna

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<v Speaker 9>make a dent, at least for now and over time. Look,

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<v Speaker 9>Google has the advantage that they have over four billion

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<v Speaker 9>monthly active users with search, and even if you know,

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<v Speaker 9>the volume goes down because they are more large anguage

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<v Speaker 9>models doing searches, they still have the distribution. And so

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<v Speaker 9>to me, Search will continue to grow, you know, high

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<v Speaker 9>single digit and it's all about the other drivers, the

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<v Speaker 9>YouTube and the cloud that's going to accelerate the growth

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<v Speaker 9>through double digits.

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<v Speaker 2>Madip, there's part of this week which is the kind

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<v Speaker 2>of timing and structure of it. So Alphabet kind of

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<v Speaker 2>reports first, and you have meta Snap down the road

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<v Speaker 2>and Alphabet or Google kind of set the tone for

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<v Speaker 2>social media companies that make money from ads. Do you

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<v Speaker 2>expect it to play out that way that way this

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<v Speaker 2>week as well?

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<v Speaker 10>No.

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<v Speaker 9>I think it's going to be tough for the smaller

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<v Speaker 9>players simply because companies are still prudent about their sales

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<v Speaker 9>and marketing spend and they want to focus on the

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<v Speaker 9>highest ROI, and we know the highest ROI is search

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<v Speaker 9>and meta, Instagram and you know the social media, large

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<v Speaker 9>social media properties. I think Snap and Pinterest will have

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<v Speaker 9>easier comms, So that's good, But in terms of acceleration,

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<v Speaker 9>it's too early to say that we are headed for,

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<v Speaker 9>you know, a big rebound in AD spending next year.

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<v Speaker 4>Man name saying a Bloomberg Intelligence, We thank you so

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<v Speaker 4>much as we look ahead to those big earnings and

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<v Speaker 4>a key discussion about AI. We've got more of that

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<v Speaker 4>to come from One Alexis Ohanian, founder of VC firm

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<v Speaker 4>seven seventy six.

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<v Speaker 3>Co founder of course of Reddit.

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<v Speaker 4>He's just sat down with our own at Ludlow. Listen

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<v Speaker 4>to it in a minute. Listen bloom Bag Technology.

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<v Speaker 3>Time now for talking tech.

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<v Speaker 4>First up, in Vidia in processes from arm holdings to

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<v Speaker 4>develop chips for personal computers. Sources say that in Vidia

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<v Speaker 4>plans to make CPUs.

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<v Speaker 3>You know, we always associated with GPUs, but they would.

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<v Speaker 4>Run on Microsoft Windows and go on sales in as

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<v Speaker 4>twenty twenty five. Now AMD is also working with ARM

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<v Speaker 4>based processes. Of course, that's a chip design company to

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<v Speaker 4>move is really all putting pressure on the rival Intel,

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<v Speaker 4>which makes similar technology for PCs.

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<v Speaker 3>Also talking to AI chips.

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<v Speaker 4>The startup Rebellions is hoping to raise abou one hundred

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<v Speaker 4>million dollars in global investors. Based in South Korea, the

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<v Speaker 4>startup is in talks over Series B financing. They may

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<v Speaker 4>value the company at more than half a billion. Rebellions

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<v Speaker 4>is one of several players trying to capitalize off of

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<v Speaker 4>the rapid appeal of artificial intelligence software. Plus a group

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<v Speaker 4>of bipartisan centers will host yet another crop of tech

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<v Speaker 4>leaders and executives discuss well how to regulate this AI.

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<v Speaker 4>It will be the second in a series of forums

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<v Speaker 4>led by Senate Majority Leader Chuck Schumer, and indeed the

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<v Speaker 4>VC billionaire Mark and Risen is expected to attend and

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<v Speaker 4>then the previous forum took place on sept to the

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<v Speaker 4>thirteenth and included pearances from well Elon Musk for example, ed.

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<v Speaker 2>Yeah, let's stick with the artificial intelligence conversation. Earlier today,

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<v Speaker 2>I caught up with Alexis o'hanian, the founder of seven

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<v Speaker 2>seven six of course the co founder of Readit as well.

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<v Speaker 2>We discussed his approach to investing in AI companies and

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<v Speaker 2>how he's thought about the hype around AI this year.

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<v Speaker 10>Have a listen, there's a lot of hype right now.

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<v Speaker 10>I've been investing in the space for over a decade,

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<v Speaker 10>back when it was just narrow AI companies, you know,

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<v Speaker 10>seating companies like Athellis and Cruise. So this is really

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<v Speaker 10>now a big breakthrough. Generalized AI is a giant buzzword,

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<v Speaker 10>but there is some real special truth there, and we're

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<v Speaker 10>looking for companies that are using this technology to enhance

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<v Speaker 10>the user experience and outside of ways. It really is

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<v Speaker 10>as simple as that, and we're seeing across the portfolio

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<v Speaker 10>from AI produced dubbing like Deep Tune to sports media

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<v Speaker 10>Rita's been companies like score Plates. It's not about just

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<v Speaker 10>the buzzword, it's about how are you improving users' lives

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<v Speaker 10>using this technology effortlessly.

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<v Speaker 2>When I was looking through the port you know, the

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<v Speaker 2>examples of score play and deep tune. You kind of

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<v Speaker 2>split it maybe into a tool, an AI tool which

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<v Speaker 2>we call generative AI, and then an existing technology platform

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<v Speaker 2>which is kind of improved or added to using AI.

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<v Speaker 2>You know, explain to us why score play and deep

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<v Speaker 2>tune fit those two kind of categories and why you'd invested.

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<v Speaker 3>In them for sure.

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<v Speaker 10>Well, you know, as the owner of two professional sports teams,

0:11:27.080 --> 0:11:30.480
<v Speaker 10>I know how important media management is and this process

0:11:30.480 --> 0:11:33.560
<v Speaker 10>of actually capturing the clips, the photos or everything happening

0:11:33.640 --> 0:11:36.440
<v Speaker 10>on the pitch or in the stands, and then you know,

0:11:36.480 --> 0:11:39.080
<v Speaker 10>getting those out to the athletes, to social media, to

0:11:39.120 --> 0:11:42.560
<v Speaker 10>your media partners. That is a ton of work, and

0:11:43.000 --> 0:11:46.520
<v Speaker 10>software should automatically be able to seamlessly make all that

0:11:46.559 --> 0:11:49.079
<v Speaker 10>happen way more effectively. But now you layer in AI

0:11:49.200 --> 0:11:51.760
<v Speaker 10>and you have something that now does it ten times faster.

0:11:51.760 --> 0:11:55.839
<v Speaker 10>Whether it's identifying you know, this is Sidney LaRue, this

0:11:55.880 --> 0:11:58.920
<v Speaker 10>is her kicking a goal, this is the door dash

0:11:59.000 --> 0:12:01.880
<v Speaker 10>logo visible, and so all of that stuff can now

0:12:01.960 --> 0:12:04.960
<v Speaker 10>be automated away and so smaller teams can get far

0:12:05.000 --> 0:12:09.720
<v Speaker 10>more done. And it's not reinventing a whole new technology.

0:12:09.760 --> 0:12:13.280
<v Speaker 10>It's leveling up existing software that already has deep relationships

0:12:13.320 --> 0:12:15.240
<v Speaker 10>with customers. And so there are going to be these

0:12:15.280 --> 0:12:17.840
<v Speaker 10>types of companies that have strong moats and lock in

0:12:18.040 --> 0:12:20.400
<v Speaker 10>that are going to win. And you know, there's going

0:12:20.440 --> 0:12:21.319
<v Speaker 10>to be big winners in.

0:12:21.240 --> 0:12:22.000
<v Speaker 3>The space as well.

0:12:22.080 --> 0:12:24.719
<v Speaker 10>Chat GBT is probably the most famous one, which I'm

0:12:24.760 --> 0:12:27.400
<v Speaker 10>not an investor in, though I really should have bugged

0:12:27.440 --> 0:12:30.160
<v Speaker 10>Sam about that a lot earlier. You know, I use

0:12:30.200 --> 0:12:32.600
<v Speaker 10>it to tell bedtime stories with my daughter, and so

0:12:32.640 --> 0:12:37.240
<v Speaker 10>you're seeing this very generalized, you know, approach from NLM

0:12:37.320 --> 0:12:38.679
<v Speaker 10>like Open Eye that's going to solve a lot of

0:12:38.679 --> 0:12:40.400
<v Speaker 10>problems for a lot of people, and then much more

0:12:40.400 --> 0:12:43.600
<v Speaker 10>specific approaches that are solving at least right now, strong

0:12:43.679 --> 0:12:46.360
<v Speaker 10>business needs and you know, offering it like any other

0:12:46.480 --> 0:12:47.960
<v Speaker 10>subscription as a service business.

0:12:48.760 --> 0:12:51.640
<v Speaker 2>Just real quick if you do bug Sam Altman. I

0:12:51.720 --> 0:12:55.880
<v Speaker 2>reported last week that there's a tender off underway right

0:12:55.920 --> 0:12:58.480
<v Speaker 2>and there's pretty big, big blocks of shares on the

0:12:58.520 --> 0:13:03.320
<v Speaker 2>secondaries market. Yes that you know value open AI eighty

0:13:03.400 --> 0:13:07.000
<v Speaker 2>six ninety billion, more than one hundred billion. Some of

0:13:07.000 --> 0:13:09.680
<v Speaker 2>the prospectus that I've seen, is that a way for

0:13:09.720 --> 0:13:11.120
<v Speaker 2>you to get in or do you just you just

0:13:11.160 --> 0:13:14.319
<v Speaker 2>stay away? From open Ai given its late growth stage.

0:13:14.400 --> 0:13:16.520
<v Speaker 10>I am such an early investor. I want to be

0:13:16.600 --> 0:13:18.920
<v Speaker 10>there at the point of inception all the way to

0:13:18.960 --> 0:13:21.040
<v Speaker 10>maybe the Series A. That's that's when we like leading

0:13:21.080 --> 0:13:23.600
<v Speaker 10>and writing that first check. At this stage, I still

0:13:23.640 --> 0:13:25.760
<v Speaker 10>think there is value, but it's not you know, it's

0:13:25.760 --> 0:13:29.920
<v Speaker 10>above my pay grade. I enjoy I enjoy being super

0:13:29.960 --> 0:13:34.320
<v Speaker 10>early and right, but you know, it's still it's going

0:13:34.400 --> 0:13:36.920
<v Speaker 10>to continue to surprise us. I think what these technologies

0:13:36.920 --> 0:13:38.520
<v Speaker 10>are able to do, and yes, there is a ton

0:13:38.559 --> 0:13:41.040
<v Speaker 10>of hype, but I do think the sky is the limit.

0:13:41.080 --> 0:13:43.440
<v Speaker 10>And I've known Sam since he did y Combinator together

0:13:43.559 --> 0:13:46.560
<v Speaker 10>back in two thousand and five, and one thing he

0:13:46.640 --> 0:13:50.319
<v Speaker 10>has never lacked is ambition. And so if there's anyone

0:13:50.360 --> 0:13:52.719
<v Speaker 10>who can turn this into you know what all the

0:13:53.040 --> 0:13:56.880
<v Speaker 10>sort of hype is about, it would be him.

0:13:57.000 --> 0:14:00.319
<v Speaker 2>So a big emphasis there on artificial intelligence. Alexis Hani

0:14:00.400 --> 0:14:03.200
<v Speaker 2>and seven seven six found a co founder of Reddit.

0:14:11.120 --> 0:14:13.560
<v Speaker 10>I have been in crypto for over a decade. I

0:14:13.600 --> 0:14:16.120
<v Speaker 10>have invested through every single winter, and none of them

0:14:16.160 --> 0:14:19.720
<v Speaker 10>phase me. They're all healthy because they sort of clear

0:14:19.800 --> 0:14:23.640
<v Speaker 10>out the tourists and the grifters in every sector, in

0:14:23.640 --> 0:14:28.040
<v Speaker 10>every industry, and I think here we're seeing a response

0:14:28.360 --> 0:14:32.000
<v Speaker 10>to my guests, a sort of broader macro and global uncertainty.

0:14:32.600 --> 0:14:35.960
<v Speaker 10>And what's wild is I know, for some viewers it

0:14:36.000 --> 0:14:38.920
<v Speaker 10>may seem a little surprising that people would find safety

0:14:38.960 --> 0:14:42.320
<v Speaker 10>in a volatile cryptocurrency like bitcoin, but the fact that

0:14:42.360 --> 0:14:46.840
<v Speaker 10>it is truly decentralized and the fact that it is

0:14:46.880 --> 0:14:50.240
<v Speaker 10>backed by conviction, you know, to me, bitcoin has never

0:14:50.280 --> 0:14:53.120
<v Speaker 10>felt really all that different from gold.

0:14:55.280 --> 0:14:57.360
<v Speaker 3>Ah the age old digital gold.

0:14:57.360 --> 0:15:00.240
<v Speaker 4>Alexasirhanian there are seven seven six, just talking a little

0:15:00.280 --> 0:15:02.720
<v Speaker 4>bit more about his thesis around Web three, around crypto,

0:15:02.760 --> 0:15:05.280
<v Speaker 4>around bitcoin, and of course it has just hit thirty

0:15:05.280 --> 0:15:08.440
<v Speaker 4>five thousand dollars for the first time this year. Of course,

0:15:08.440 --> 0:15:11.320
<v Speaker 4>it's all kind of based on fresh demands, some of

0:15:11.360 --> 0:15:14.880
<v Speaker 4>them maybe for resilience in conflict, others well because we

0:15:14.880 --> 0:15:16.920
<v Speaker 4>think an ETF is going to be signed off sometimes

0:15:16.920 --> 0:15:19.040
<v Speaker 4>soon for spot bitcoin. Let's talk about it all with

0:15:19.080 --> 0:15:21.440
<v Speaker 4>Amy James, co executive director of Web three Working Group.

0:15:21.480 --> 0:15:22.960
<v Speaker 4>You join us, and of course a lot of our

0:15:23.000 --> 0:15:25.400
<v Speaker 4>advocacy work is about making sure everyone has got the

0:15:25.440 --> 0:15:27.640
<v Speaker 4>access the information to be able to be playing a

0:15:27.680 --> 0:15:33.720
<v Speaker 4>part in Web three. The ATF exposure, the ability to invest.

0:15:34.360 --> 0:15:37.160
<v Speaker 4>Is that really what's behind this thirty five thousand dollar pop.

0:15:38.720 --> 0:15:41.480
<v Speaker 1>It could be absolutely thank you so much for having

0:15:41.480 --> 0:15:42.960
<v Speaker 1>me on the show, just wanting to say that before

0:15:42.960 --> 0:15:46.800
<v Speaker 1>you get started. And it absolutely could be the speculation

0:15:46.920 --> 0:15:52.360
<v Speaker 1>that that's happening. And it also could be the economic

0:15:52.440 --> 0:15:55.680
<v Speaker 1>uncertainty as the previous guest was talking about, that is

0:15:55.760 --> 0:15:59.200
<v Speaker 1>driving people into bitcoin because it is potentially a more

0:15:59.280 --> 0:16:04.160
<v Speaker 1>stable asset over time. I personally think that the bitcoin

0:16:04.240 --> 0:16:08.080
<v Speaker 1>price action is the least interesting aspect of bitcoin, and

0:16:08.120 --> 0:16:11.440
<v Speaker 1>it's the technology underneath it that is far more important,

0:16:11.840 --> 0:16:14.840
<v Speaker 1>more exciting, and will have a much more profound impact

0:16:14.840 --> 0:16:15.920
<v Speaker 1>on our daily lives.

0:16:16.360 --> 0:16:18.400
<v Speaker 2>Yeah, Amy, this is why I'm so excited to have

0:16:18.440 --> 0:16:20.520
<v Speaker 2>you on the program. You know, you can see it

0:16:20.560 --> 0:16:23.960
<v Speaker 2>as bitcoin as a currency and the underlying blockchain technology

0:16:24.000 --> 0:16:27.720
<v Speaker 2>what makes it secure? If bitcoin has this kind of

0:16:27.840 --> 0:16:31.840
<v Speaker 2>upward trajectory thirty five thousand dollars now, Sunny Singh was

0:16:31.840 --> 0:16:35.160
<v Speaker 2>on the show last week talking about above one hundred

0:16:35.240 --> 0:16:38.440
<v Speaker 2>thousand at some point next year. Does that help the

0:16:38.520 --> 0:16:43.680
<v Speaker 2>technology become accepted and utilized in societies around the world.

0:16:44.880 --> 0:16:49.360
<v Speaker 1>That's absolutely right. Every time we have a ball run,

0:16:49.600 --> 0:16:52.680
<v Speaker 1>more and more people find out about the technology. It's

0:16:52.680 --> 0:16:55.200
<v Speaker 1>the price action that is, you know, the kind of

0:16:55.280 --> 0:16:57.080
<v Speaker 1>headline that gets people drawn in.

0:16:57.520 --> 0:17:00.000
<v Speaker 3>But once they once they come.

0:16:59.880 --> 0:17:02.920
<v Speaker 1>Into the space, they learn about the technology that really

0:17:03.000 --> 0:17:08.400
<v Speaker 1>has the potential to reshape the foundation of the Internet

0:17:08.760 --> 0:17:11.840
<v Speaker 1>and return it to its original vision of being a

0:17:11.880 --> 0:17:15.800
<v Speaker 1>free and fair marketplace for ideas. And so you know,

0:17:15.880 --> 0:17:19.000
<v Speaker 1>as they say, bear markets are for builders, and we

0:17:19.080 --> 0:17:22.480
<v Speaker 1>have been in a bear market since the Terra Luna

0:17:22.560 --> 0:17:27.200
<v Speaker 1>collapse in May of last year, and during that time

0:17:27.320 --> 0:17:31.600
<v Speaker 1>a tremendous amount of building has happened. And now I

0:17:31.640 --> 0:17:35.320
<v Speaker 1>would say that the deep PIN sector of the cryptospace,

0:17:35.320 --> 0:17:40.280
<v Speaker 1>which stands for decentralized physical infrastructure networks, is poised to

0:17:40.320 --> 0:17:43.400
<v Speaker 1>be sort of the breakout hit of this next bull run,

0:17:43.800 --> 0:17:47.720
<v Speaker 1>similar to NFTs and stable coins in previous runs.

0:17:48.960 --> 0:17:50.800
<v Speaker 3>Oh boy, another acronym.

0:17:51.320 --> 0:17:54.560
<v Speaker 4>So talk to us about deep in and what decentralized

0:17:54.560 --> 0:17:58.600
<v Speaker 4>physical infrastructure It actually feels a lot more real, tangible.

0:17:59.040 --> 0:18:00.920
<v Speaker 4>What exactly is it that you're building me?

0:18:02.359 --> 0:18:06.040
<v Speaker 1>That's right, So decentralized physical infrastructure networks, I like to

0:18:06.080 --> 0:18:09.040
<v Speaker 1>call them the plumbing of the web. So just as

0:18:09.080 --> 0:18:12.440
<v Speaker 1>we rely on water flowing from our tap, we rely

0:18:12.560 --> 0:18:15.800
<v Speaker 1>on these networks for the things that we do every day,

0:18:15.840 --> 0:18:18.240
<v Speaker 1>the things that allow us to be on this video

0:18:18.359 --> 0:18:21.879
<v Speaker 1>call together for you to broadcast your show to the world,

0:18:21.960 --> 0:18:26.720
<v Speaker 1>things like video trans coding with networks like live peer,

0:18:26.920 --> 0:18:30.960
<v Speaker 1>things like file storage networks. Those would be protocols like

0:18:31.440 --> 0:18:35.760
<v Speaker 1>r weave and IPFS. File coin is what most people

0:18:35.760 --> 0:18:39.239
<v Speaker 1>would know that as. And then also for things like

0:18:40.240 --> 0:18:43.679
<v Speaker 1>GPU rentals, which I'm sure you know. GPUs have been

0:18:43.720 --> 0:18:48.080
<v Speaker 1>a really constrained product because of supply issues, and so

0:18:48.480 --> 0:18:50.840
<v Speaker 1>builders have had a hard time getting their hands on

0:18:50.880 --> 0:18:53.760
<v Speaker 1>them to train their AI models, and marketplaces like a

0:18:53.800 --> 0:18:57.960
<v Speaker 1>cash network are making those available on a rental sort

0:18:58.000 --> 0:18:59.920
<v Speaker 1>of basis so that they can use them when they

0:19:00.080 --> 0:19:02.879
<v Speaker 1>need them without having to outlay a tremendous amount of

0:19:02.880 --> 0:19:06.480
<v Speaker 1>cash to purchase them and also really having to help

0:19:06.520 --> 0:19:10.760
<v Speaker 1>overcome those supply issues. So these networks are going to

0:19:11.440 --> 0:19:16.280
<v Speaker 1>return the Web to its decentralized shape. What we've seen

0:19:16.440 --> 0:19:18.840
<v Speaker 1>over the eras of Web one, Web two, and Web

0:19:18.880 --> 0:19:23.240
<v Speaker 1>three is a change from a decentralized structure in the

0:19:23.320 --> 0:19:25.480
<v Speaker 1>very beginning of the web and Web one, when everybody

0:19:25.520 --> 0:19:27.840
<v Speaker 1>ran it on their own computers, and then it became

0:19:27.960 --> 0:19:30.680
<v Speaker 1>centralized as We've entered this big heech.

0:19:30.520 --> 0:19:34.919
<v Speaker 2>Era and web three really really quick, just before we

0:19:35.000 --> 0:19:37.119
<v Speaker 2>run out of time here very quickly, just on what

0:19:37.160 --> 0:19:40.199
<v Speaker 2>you said, is the United States a good place for

0:19:40.280 --> 0:19:44.680
<v Speaker 2>this dream to become realized? Is a regulatory jurisdiction very quick.

0:19:46.119 --> 0:19:48.359
<v Speaker 1>So our hope is that it will be right now,

0:19:48.400 --> 0:19:50.920
<v Speaker 1>it is very precarious, and I think that the industry

0:19:50.960 --> 0:19:54.359
<v Speaker 1>feels very nervous about what will happen. We have some

0:19:54.480 --> 0:19:58.520
<v Speaker 1>great champions in the legislatorture who are helping to move

0:19:58.520 --> 0:20:00.560
<v Speaker 1>that forward, and we wish them the best and hope

0:20:00.560 --> 0:20:03.240
<v Speaker 1>that they are successful, because if not, we do face

0:20:03.280 --> 0:20:06.440
<v Speaker 1>the really serious danger of losing the tech industry here

0:20:06.440 --> 0:20:07.000
<v Speaker 1>in the US.

0:20:07.880 --> 0:20:10.120
<v Speaker 2>All right, Amy James at the WED three working group

0:20:10.119 --> 0:20:12.160
<v Speaker 2>here on Bloomberg Technology, Thank you so much.

0:20:20.880 --> 0:20:23.880
<v Speaker 4>Welcome back to Bloomberg Technology. I'm Caroline Hyde in London.

0:20:24.200 --> 0:20:26.080
<v Speaker 2>And I'm Ed Lovela in San Francisco. I think you'd

0:20:26.119 --> 0:20:29.680
<v Speaker 2>agree that this sort of candor third quarter earning season

0:20:30.280 --> 0:20:32.480
<v Speaker 2>Artificial intelligence is what we're going to look for in

0:20:32.560 --> 0:20:34.520
<v Speaker 2>terms of how's all of the news, all of the

0:20:34.640 --> 0:20:36.880
<v Speaker 2>R and D actually showing up in the top line

0:20:36.880 --> 0:20:39.720
<v Speaker 2>of these businesses invest in AI what do you have

0:20:39.760 --> 0:20:41.000
<v Speaker 2>to show for it AI everything?

0:20:42.320 --> 0:20:44.080
<v Speaker 4>And how many hundreds of times is it going to

0:20:44.119 --> 0:20:45.680
<v Speaker 4>be cited in various earning releases.

0:20:45.680 --> 0:20:47.680
<v Speaker 3>I know you'll be counting that one uphead, but in.

0:20:47.600 --> 0:20:49.680
<v Speaker 4>Fact it has been front and center and our own

0:20:49.680 --> 0:20:52.560
<v Speaker 4>Bloomberg Technology Summit today right here in London, and in

0:20:52.600 --> 0:20:55.040
<v Speaker 4>fact we were hearing from Joe Kaplan and Bropic co

0:20:55.160 --> 0:20:58.600
<v Speaker 4>founder and chief science officer, who waited on howard Thropic

0:20:58.840 --> 0:21:02.760
<v Speaker 4>has made commitments to hold itself accountable for safer and

0:21:02.840 --> 0:21:03.680
<v Speaker 4>more ethical AI.

0:21:03.840 --> 0:21:05.480
<v Speaker 3>He spoke to Bradstone, haven't listen.

0:21:05.920 --> 0:21:08.440
<v Speaker 11>One thing that we'd really like to see, And that's

0:21:08.440 --> 0:21:10.240
<v Speaker 11>sort of part of part of the reason why we're

0:21:10.280 --> 0:21:15.640
<v Speaker 11>excited to have started Anthropic is we think that there

0:21:15.640 --> 0:21:17.520
<v Speaker 11>should be kind of a race to the top on

0:21:18.280 --> 0:21:22.280
<v Speaker 11>safer AI, more ethical AI in preparation for the fact

0:21:22.320 --> 0:21:24.840
<v Speaker 11>that we believe there will be more powerful systems on

0:21:24.880 --> 0:21:27.360
<v Speaker 11>the horizon. So I think the goal is for there

0:21:27.359 --> 0:21:31.320
<v Speaker 11>to be competition in the direction of safer and more

0:21:31.359 --> 0:21:35.680
<v Speaker 11>reliable systems. So as to sort of make that concrete,

0:21:36.240 --> 0:21:40.600
<v Speaker 11>we recently made a set of commitments, a responsible Scaling policy.

0:21:40.640 --> 0:21:46.320
<v Speaker 11>Responsible scaling commitments about basically standards that will hold ourselves

0:21:46.400 --> 0:21:49.840
<v Speaker 11>to as we build more powerful systems. So the current

0:21:49.880 --> 0:21:54.720
<v Speaker 11>systems we have now like Claude two, we have information security,

0:21:54.800 --> 0:21:57.960
<v Speaker 11>we have constitutional AI. We think that that's sufficient, but

0:21:58.400 --> 0:22:02.959
<v Speaker 11>we're imagining systems that are effectively able to operate autonomously,

0:22:03.400 --> 0:22:05.080
<v Speaker 11>a system that might be able to sort of install

0:22:05.119 --> 0:22:08.320
<v Speaker 11>itself and run itself on new computers all on its own,

0:22:08.560 --> 0:22:12.040
<v Speaker 11>or a system potentially that might be used by bad

0:22:12.119 --> 0:22:17.760
<v Speaker 11>actors to say, build or operate cyber weapons, other kinds

0:22:17.800 --> 0:22:19.960
<v Speaker 11>of other kinds of other kinds of weapons. We all

0:22:20.000 --> 0:22:22.639
<v Speaker 11>know that current AI systems are really helpful to software

0:22:22.640 --> 0:22:24.920
<v Speaker 11>engineers for coding, but if you take that a step further,

0:22:25.560 --> 0:22:29.959
<v Speaker 11>the more powerful equivalent systems could be used used for hacking.

0:22:30.240 --> 0:22:34.680
<v Speaker 11>So we're very concerned about those possibilities and even more

0:22:34.720 --> 0:22:38.199
<v Speaker 11>speculative possibilities over the next few years. And so we

0:22:38.280 --> 0:22:41.200
<v Speaker 11>made a set of commitments about the sort of information

0:22:41.280 --> 0:22:45.000
<v Speaker 11>security and the level of safety and robustness to what's

0:22:45.040 --> 0:22:47.640
<v Speaker 11>called red teaming, where people try to break these models

0:22:47.880 --> 0:22:51.400
<v Speaker 11>to get them to violate their principles and do something bad.

0:22:53.840 --> 0:22:57.439
<v Speaker 4>Jared Kaplan, then Eanthropic co founder chief, starts efforts talking

0:22:57.480 --> 0:22:58.400
<v Speaker 4>with Bradstone.

0:22:58.760 --> 0:22:59.919
<v Speaker 3>Let's still keep to.

0:23:00.000 --> 0:23:03.560
<v Speaker 4>Talking about artificial intelligence and Synthashia is with us, the

0:23:03.600 --> 0:23:08.000
<v Speaker 4>world's leading AI video creation platform for enterprises. It's making

0:23:08.080 --> 0:23:11.359
<v Speaker 4>video production simple and intuitive without the need for cameras

0:23:11.400 --> 0:23:12.000
<v Speaker 4>or studios.

0:23:12.400 --> 0:23:14.560
<v Speaker 3>Very pleased to say that Victor Rippabelli is with us.

0:23:14.640 --> 0:23:17.919
<v Speaker 4>He's a Synthesia CEO, part of the inaugural list of

0:23:17.880 --> 0:23:21.760
<v Speaker 4>Bloombag UK tech startups to watch as well. So Victor, great, congratulations,

0:23:21.800 --> 0:23:24.199
<v Speaker 4>wonderful to see you singled out as really wanted to

0:23:24.200 --> 0:23:26.800
<v Speaker 4>be watching and boy is everyone watching AI and boys

0:23:26.840 --> 0:23:28.320
<v Speaker 4>the UK government watching AI?

0:23:28.640 --> 0:23:29.840
<v Speaker 3>How much do you think.

0:23:29.640 --> 0:23:34.120
<v Speaker 4>This conversation around, well, the direction of travel the guardrails

0:23:34.119 --> 0:23:36.680
<v Speaker 4>has changed since you were first building this company.

0:23:37.560 --> 0:23:40.119
<v Speaker 8>I think what we've seen we've been building for almost

0:23:40.119 --> 0:23:43.840
<v Speaker 8>seven years and has always been a topic for regulators,

0:23:43.880 --> 0:23:45.560
<v Speaker 8>always been a topic for the take country. Of course,

0:23:45.640 --> 0:23:47.879
<v Speaker 8>this is in many ways not new technology. It's just

0:23:47.920 --> 0:23:50.640
<v Speaker 8>had its moment where I think the world really woke

0:23:50.720 --> 0:23:52.480
<v Speaker 8>up to the fact how powerful these technologies are going

0:23:52.520 --> 0:23:53.600
<v Speaker 8>to be and how much they're going to be a

0:23:53.600 --> 0:23:57.960
<v Speaker 8>part of everything in our lives. The chet ChiPT moment

0:23:58.000 --> 0:24:00.000
<v Speaker 8>as we usually call it, which happened late last year.

0:24:00.240 --> 0:24:03.159
<v Speaker 8>I think really just gave us a version of this

0:24:03.200 --> 0:24:06.480
<v Speaker 8>technology that was incredibly accessible. Everyone with the Internet connection

0:24:06.560 --> 0:24:08.320
<v Speaker 8>and an email address could sign up and try to

0:24:08.320 --> 0:24:10.639
<v Speaker 8>play around with these tools to see all the amazing

0:24:10.640 --> 0:24:12.679
<v Speaker 8>things they can do, but also discover some of the

0:24:12.680 --> 0:24:14.639
<v Speaker 8>pitfalls of these technologies and some of the things we

0:24:14.680 --> 0:24:17.720
<v Speaker 8>have to watch out for. And the government right now

0:24:17.800 --> 0:24:20.600
<v Speaker 8>is obviously very focused on how we put the right

0:24:20.600 --> 0:24:23.200
<v Speaker 8>guard rails, but at the same time capture all the

0:24:23.240 --> 0:24:24.080
<v Speaker 8>amazing opportunity.

0:24:24.600 --> 0:24:26.800
<v Speaker 3>So Thedia, of course, has captured the attention of a

0:24:26.800 --> 0:24:28.320
<v Speaker 3>lot of clients. I mean, what is it.

0:24:28.359 --> 0:24:30.800
<v Speaker 4>You're in forty seven percent of Fortune one hundred companies

0:24:30.840 --> 0:24:35.320
<v Speaker 4>already using it, I mean hundreds thousands if not deploying

0:24:35.320 --> 0:24:38.800
<v Speaker 4>your videos. Why what are they doing to use your

0:24:38.920 --> 0:24:40.320
<v Speaker 4>tech in particular.

0:24:39.880 --> 0:24:41.320
<v Speaker 3>How are they working with it?

0:24:41.920 --> 0:24:44.000
<v Speaker 8>So the core thing is that we live in twenty

0:24:44.040 --> 0:24:46.840
<v Speaker 8>twenty three and people want to watch and listen to content.

0:24:47.040 --> 0:24:49.040
<v Speaker 8>They don't want to read that much anymore, and for

0:24:49.080 --> 0:24:50.879
<v Speaker 8>most people in their private lives, this is actually how

0:24:50.880 --> 0:24:52.800
<v Speaker 8>they consume content. Like most people spend a lot of

0:24:52.800 --> 0:24:56.359
<v Speaker 8>time on YouTube, TikTok and listen to podcasts reading is

0:24:56.400 --> 0:24:58.399
<v Speaker 8>on the decline, no matter if you like that or not.

0:24:59.080 --> 0:25:02.560
<v Speaker 8>But in the sector, it's really difficult to produce audio

0:25:02.560 --> 0:25:04.680
<v Speaker 8>and video content, right, like filming things with a camera,

0:25:04.760 --> 0:25:07.360
<v Speaker 8>recording things to the microphone. If you compare the production

0:25:07.480 --> 0:25:10.560
<v Speaker 8>process to writing a work document and making a PowerPoint slide,

0:25:10.560 --> 0:25:12.200
<v Speaker 8>for example, it's very very different.

0:25:12.280 --> 0:25:12.440
<v Speaker 9>Right.

0:25:12.840 --> 0:25:13.600
<v Speaker 3>What we offer is.

0:25:13.560 --> 0:25:17.000
<v Speaker 8>An alternative to traditional video production where you just like

0:25:17.000 --> 0:25:19.560
<v Speaker 8>you would make a PowerPoint presentation, you simply select your avatar,

0:25:19.680 --> 0:25:21.800
<v Speaker 8>you type out the script. You make these very kind

0:25:21.840 --> 0:25:24.160
<v Speaker 8>of simple videos and for the enterprise, but this means

0:25:24.200 --> 0:25:28.080
<v Speaker 8>that now they can train their employees or their customers

0:25:28.760 --> 0:25:30.840
<v Speaker 8>way better than they could before. So the information retention

0:25:30.920 --> 0:25:32.760
<v Speaker 8>of watching a video is around eight to ten times

0:25:32.800 --> 0:25:35.399
<v Speaker 8>as high as we read something in text. That really

0:25:35.520 --> 0:25:42.000
<v Speaker 8>is the utility that our customers get out of using SYNTHESIAIK.

0:25:40.359 --> 0:25:43.240
<v Speaker 2>So thank you for explaining how the technology works. One

0:25:43.280 --> 0:25:46.040
<v Speaker 2>of the stories we've covered here on the show is

0:25:46.080 --> 0:25:49.439
<v Speaker 2>in the context of the Israel mass war and video

0:25:49.560 --> 0:25:54.600
<v Speaker 2>content in circulation on social media platforms that purports to

0:25:54.640 --> 0:25:57.960
<v Speaker 2>be one thing, but in reality is not that thing.

0:25:58.000 --> 0:26:00.760
<v Speaker 2>It is fake or false. In some cases, video game

0:26:01.080 --> 0:26:04.240
<v Speaker 2>video which is claimed to be video of what's happening

0:26:04.240 --> 0:26:08.440
<v Speaker 2>on the ground. What is Synthesia doing to make sure

0:26:08.480 --> 0:26:12.520
<v Speaker 2>that video content generated through the platform is not shared

0:26:12.560 --> 0:26:15.000
<v Speaker 2>in such a way that is not used by bad

0:26:15.040 --> 0:26:18.520
<v Speaker 2>actors to share false information.

0:26:21.160 --> 0:26:22.719
<v Speaker 8>When we found the company, we did it on an

0:26:22.720 --> 0:26:25.800
<v Speaker 8>ethical framework, which is around consent, control, and collaboration of

0:26:25.880 --> 0:26:29.080
<v Speaker 8>the free seas as we call them. Content is around

0:26:29.119 --> 0:26:32.000
<v Speaker 8>any avatar advice that we reproduced. The likeness of it

0:26:32.040 --> 0:26:34.520
<v Speaker 8>is done with full consent from whoever's voice, a likeness

0:26:34.560 --> 0:26:37.320
<v Speaker 8>that is second one around control, it's around content moderations.

0:26:37.320 --> 0:26:39.359
<v Speaker 8>So we have very strict policies in place, but what

0:26:39.440 --> 0:26:41.119
<v Speaker 8>kind of content you're allowed to create and what kind

0:26:41.160 --> 0:26:43.439
<v Speaker 8>of content you're not allowed to create, and we monitor

0:26:43.480 --> 0:26:45.920
<v Speaker 8>that both with automatic systems and also humans in the loop.

0:26:46.920 --> 0:26:50.400
<v Speaker 8>For example, if you're creating news like content on current events,

0:26:50.480 --> 0:26:53.000
<v Speaker 8>that's only allowed if you're on an enterprise plan, which

0:26:53.040 --> 0:26:55.639
<v Speaker 8>means that we know who you are, and we know

0:26:55.720 --> 0:26:59.359
<v Speaker 8>that you have a good reputation and most likely a

0:26:59.400 --> 0:27:01.720
<v Speaker 8>well known media company. So we have a lot of

0:27:01.720 --> 0:27:05.000
<v Speaker 8>safeguards in place to make sure that the technology isn't misused.

0:27:05.000 --> 0:27:07.000
<v Speaker 8>In the case of what you're talking about, here. That's

0:27:07.040 --> 0:27:10.919
<v Speaker 8>sort of a different technologies than hours hours around the

0:27:11.000 --> 0:27:14.600
<v Speaker 8>AI avatars talking to the camera presenting something, whereas what

0:27:14.640 --> 0:27:16.879
<v Speaker 8>we're seeing here right is so something is then an

0:27:16.920 --> 0:27:19.800
<v Speaker 8>involvement of some of the disinformation and misinformation tactics that's

0:27:19.800 --> 0:27:21.840
<v Speaker 8>been deployed the last ten twenty.

0:27:21.600 --> 0:27:23.200
<v Speaker 3>Years, where you take a video of.

0:27:23.200 --> 0:27:25.400
<v Speaker 8>An explosion, for example, that actually happened five years ago,

0:27:25.400 --> 0:27:28.000
<v Speaker 8>where you say it happened yesterday. Now we're getting to

0:27:28.080 --> 0:27:30.879
<v Speaker 8>a point where computer graphics is getting good enough to

0:27:31.000 --> 0:27:33.560
<v Speaker 8>actually fool people into thinking that something that might have

0:27:33.600 --> 0:27:36.159
<v Speaker 8>been done in a gaming engine is actually happening in

0:27:36.160 --> 0:27:39.080
<v Speaker 8>real life. I think the ultimate technological solution to this

0:27:39.200 --> 0:27:42.840
<v Speaker 8>is around fingerprinting content that we generate both with AI

0:27:42.960 --> 0:27:44.560
<v Speaker 8>but also things we capture with a camera, so we

0:27:44.560 --> 0:27:47.560
<v Speaker 8>can begin to build a provenance chain of where content

0:27:47.640 --> 0:27:50.240
<v Speaker 8>came from, who created it, and I'm watching the original

0:27:50.280 --> 0:27:52.959
<v Speaker 8>or edited version of it. It's a really our technical problem,

0:27:53.560 --> 0:27:56.080
<v Speaker 8>but we're working on it with Adobe. Google is working

0:27:56.119 --> 0:27:58.480
<v Speaker 8>on as well, and I have a lot of optimism

0:27:58.600 --> 0:28:01.160
<v Speaker 8>that this technology will be are part of the media

0:28:01.200 --> 0:28:02.800
<v Speaker 8>landscape within the next couple of years.

0:28:03.359 --> 0:28:05.679
<v Speaker 3>Absolutely fascinating. We could talk to you for much longer.

0:28:05.840 --> 0:28:09.800
<v Speaker 4>Sadly we can't, but the Synthesia CEO there, Victor Ripperbelly,

0:28:10.040 --> 0:28:14.240
<v Speaker 4>UK based startup course ed. We've been focusing a lot

0:28:14.320 --> 0:28:16.280
<v Speaker 4>on those that are currently being built right here in

0:28:16.320 --> 0:28:17.920
<v Speaker 4>the capital of the EAED.

0:28:18.080 --> 0:28:19.600
<v Speaker 2>Yeah, it's so important to have you there on the

0:28:19.640 --> 0:28:21.520
<v Speaker 2>ground in London. Coming up we will have more from

0:28:21.560 --> 0:28:24.159
<v Speaker 2>the Bloomberg Technology Summit and here from more of the

0:28:24.240 --> 0:28:27.359
<v Speaker 2>startups on our Bloomberg Startups to Watch list. That's next.

0:28:27.400 --> 0:28:28.639
<v Speaker 2>This is Bloomberg Technology.

0:28:38.720 --> 0:28:42.560
<v Speaker 12>Earth ecosystems are delicately balanced, but they're under threat from

0:28:42.600 --> 0:28:46.320
<v Speaker 12>our actions, and so monitoring biodiversity will allow business leaders

0:28:46.320 --> 0:28:50.240
<v Speaker 12>to opt for more sustainable practices with so many data points,

0:28:50.280 --> 0:28:53.400
<v Speaker 12>though traditionally that's been easier said than done.

0:28:53.720 --> 0:28:57.000
<v Speaker 13>So Nature Metrics is a global nature technology company. We

0:28:57.200 --> 0:29:01.600
<v Speaker 13>make biodiversity measurable by analyzing the tiny traces of DNA

0:29:01.720 --> 0:29:05.120
<v Speaker 13>that all organisms leave behind in the environment. The process

0:29:05.200 --> 0:29:08.040
<v Speaker 13>works by literally just taking water in a syringe and

0:29:08.080 --> 0:29:10.960
<v Speaker 13>pushing it through a filter like this, and it captures

0:29:11.000 --> 0:29:12.640
<v Speaker 13>all of the DNA from the water. So the water

0:29:12.680 --> 0:29:14.760
<v Speaker 13>comes out the other side and all of the DNA

0:29:14.840 --> 0:29:17.120
<v Speaker 13>from the water gets stuck inside and then this is

0:29:17.160 --> 0:29:20.360
<v Speaker 13>sent to our lapse for analysis. So it's something that

0:29:21.000 --> 0:29:22.880
<v Speaker 13>literally anybody anywhere.

0:29:22.440 --> 0:29:24.600
<v Speaker 3>In the world can do. Yes, I got some.

0:29:24.520 --> 0:29:26.920
<v Speaker 13>Strange looks when I went to investors and said.

0:29:26.880 --> 0:29:30.160
<v Speaker 4>I'm going to revolutionize the scale of biodiversity monitoring and

0:29:30.200 --> 0:29:32.760
<v Speaker 4>they went, what, Well, who's going to pay for that?

0:29:32.800 --> 0:29:36.160
<v Speaker 13>I mean, buidiversity is not important enough for anyone with money.

0:29:36.360 --> 0:29:38.560
<v Speaker 13>But actually that was wrong because there was a there

0:29:38.680 --> 0:29:42.280
<v Speaker 13>was a market already, particularly in companies that were doing

0:29:42.360 --> 0:29:45.760
<v Speaker 13>environmental impact assessments. Don't let perfect be the enemy of

0:29:45.760 --> 0:29:46.120
<v Speaker 13>the good.

0:29:46.360 --> 0:29:47.840
<v Speaker 3>Especially if you're a scientist.

0:29:48.280 --> 0:29:50.360
<v Speaker 13>You can often feel like it's got to be ready

0:29:50.360 --> 0:29:52.960
<v Speaker 13>to publish or ready to write a PhD paper on

0:29:53.080 --> 0:29:55.520
<v Speaker 13>or you've tested it fifteen times before you go out

0:29:55.560 --> 0:29:57.360
<v Speaker 13>and start using it, and you have to take such

0:29:57.360 --> 0:29:58.240
<v Speaker 13>a different approach.

0:29:58.320 --> 0:30:07.120
<v Speaker 4>In business, let's stick with startups here in Europe. Well,

0:30:07.120 --> 0:30:09.440
<v Speaker 4>actually there's one that's been a key exit for the

0:30:09.520 --> 0:30:12.160
<v Speaker 4>tech scene here in the UK, and we were discussing

0:30:12.200 --> 0:30:14.240
<v Speaker 4>it at the Tech Summit just on today, online food

0:30:14.280 --> 0:30:17.200
<v Speaker 4>delivery company Delivery. In fact, the CEO was just telling

0:30:17.280 --> 0:30:20.080
<v Speaker 4>me that it is fielding ten thousand job applications a

0:30:20.120 --> 0:30:22.360
<v Speaker 4>week in the United Kingdom and as one hundred percent

0:30:22.360 --> 0:30:25.360
<v Speaker 4>committed to remain in the country. I sat down with Willshoes,

0:30:25.400 --> 0:30:27.960
<v Speaker 4>the delivery CEO, earlier at the Bloomerg Technology Summit.

0:30:28.000 --> 0:30:28.480
<v Speaker 3>Take listen.

0:30:29.120 --> 0:30:32.959
<v Speaker 14>We're still well above where we were pre COVID, but

0:30:33.000 --> 0:30:36.000
<v Speaker 14>I think what happened is as COVID on wound, we

0:30:36.120 --> 0:30:40.240
<v Speaker 14>then also were hit with a extremely high inflation on

0:30:40.320 --> 0:30:43.120
<v Speaker 14>the food side. So in some of our markets you've

0:30:43.120 --> 0:30:47.040
<v Speaker 14>had food inflation three x that of wage inflation. So

0:30:47.320 --> 0:30:49.840
<v Speaker 14>the UK was in that position probably about nine months ago.

0:30:50.240 --> 0:30:52.800
<v Speaker 14>Now some of that subsided, and so if you look

0:30:52.840 --> 0:30:55.400
<v Speaker 14>at that, for many people, what was I think a

0:30:55.520 --> 0:31:00.360
<v Speaker 14>regular purchase sort of became discretionary. But for people who

0:31:01.080 --> 0:31:05.200
<v Speaker 14>maybe are in London or in more affluent areas, it's persisted, right,

0:31:05.440 --> 0:31:08.560
<v Speaker 14>And so what really we've seen is as inflation has

0:31:08.600 --> 0:31:11.360
<v Speaker 14>slowed down for food, we're starting to see more and

0:31:11.440 --> 0:31:14.000
<v Speaker 14>more recovery, which is good, but it's tough when it's

0:31:14.000 --> 0:31:15.280
<v Speaker 14>three x out of wage inflation.

0:31:15.520 --> 0:31:15.720
<v Speaker 10>Right.

0:31:16.400 --> 0:31:18.800
<v Speaker 4>You've also those seen improvements, as you say you weren't

0:31:18.800 --> 0:31:20.600
<v Speaker 4>standing still, You've made changes to the app.

0:31:20.800 --> 0:31:22.680
<v Speaker 3>Yeah, like, what how have.

0:31:22.640 --> 0:31:26.120
<v Speaker 14>You watched I'd say, you know, the big ones grocery right,

0:31:26.520 --> 0:31:29.760
<v Speaker 14>it's you know, it's over eleven percent of our business.

0:31:29.760 --> 0:31:29.960
<v Speaker 6>Now.

0:31:30.000 --> 0:31:32.240
<v Speaker 14>We've built that over kind of three to four years

0:31:32.240 --> 0:31:34.840
<v Speaker 14>from a standing start, so that's been really great.

0:31:34.920 --> 0:31:35.560
<v Speaker 10>We've built some.

0:31:35.600 --> 0:31:38.840
<v Speaker 14>Dark stores called hop which is a compliment to our

0:31:38.880 --> 0:31:42.480
<v Speaker 14>grocery business. We've done a lot of different things, but

0:31:42.520 --> 0:31:44.520
<v Speaker 14>I think the thing I'm probably most proud of in

0:31:44.520 --> 0:31:48.880
<v Speaker 14>the last twelve months is just a series of really

0:31:48.920 --> 0:31:53.400
<v Speaker 14>sort of i'd call them incremental improvements to our service reliability.

0:31:54.680 --> 0:31:58.800
<v Speaker 14>So for example, a better new user address flow, or

0:31:59.320 --> 0:32:02.760
<v Speaker 14>for example, a better handover when the writer shows up,

0:32:03.000 --> 0:32:05.760
<v Speaker 14>to really minimize code for example, Yeah, like a code

0:32:05.840 --> 0:32:09.240
<v Speaker 14>right to minimize these sort of like errors that can happen,

0:32:09.960 --> 0:32:13.480
<v Speaker 14>And the cumulative impact of those are very, very large,

0:32:13.720 --> 0:32:16.320
<v Speaker 14>And the collective creativity it takes to actually do all

0:32:16.320 --> 0:32:18.800
<v Speaker 14>of those things, to me, is as important as the

0:32:18.840 --> 0:32:22.600
<v Speaker 14>shiny new thing like you know, grocery or a rolling

0:32:22.600 --> 0:32:23.960
<v Speaker 14>out pharmacy.

0:32:24.040 --> 0:32:27.040
<v Speaker 4>Or the shiny new thing on everyone's lips right now,

0:32:27.080 --> 0:32:30.040
<v Speaker 4>which is AI. I mean, how have you inherently been

0:32:30.040 --> 0:32:31.120
<v Speaker 4>an AI company for ages?

0:32:31.160 --> 0:32:33.480
<v Speaker 3>You just haven't been. It wasn't sexy, so you didn't

0:32:33.480 --> 0:32:34.480
<v Speaker 3>so much talk about it.

0:32:34.880 --> 0:32:36.960
<v Speaker 14>I don't know if I can go that far, but yeah,

0:32:36.960 --> 0:32:39.200
<v Speaker 14>I mean it's definitely a question we get asked a

0:32:39.240 --> 0:32:42.520
<v Speaker 14>lot about and we've been definitely utilizing jen Ai.

0:32:42.920 --> 0:32:43.800
<v Speaker 3>So in what way?

0:32:44.560 --> 0:32:47.320
<v Speaker 14>I think a few different ways. We have in our

0:32:47.360 --> 0:32:50.600
<v Speaker 14>employee version of the app a recommendation engine, so you

0:32:50.640 --> 0:32:54.800
<v Speaker 14>can type I want, you know, a healthy Mexican sort

0:32:54.840 --> 0:32:58.640
<v Speaker 14>of you know meal, or within this caloric range, you

0:32:58.680 --> 0:33:00.880
<v Speaker 14>can type something. It doesn't always work, if I'm honest,

0:33:00.880 --> 0:33:03.680
<v Speaker 14>but it gives cting it it's it is iterating and

0:33:03.720 --> 0:33:06.680
<v Speaker 14>it comes back with what is our increasingly better and

0:33:06.720 --> 0:33:10.000
<v Speaker 14>better recommendations. That's one thing we're doing on the consumer side.

0:33:10.280 --> 0:33:14.200
<v Speaker 14>I think on the customer care side, we've done a

0:33:14.200 --> 0:33:17.400
<v Speaker 14>lot of really cool things where Jenna I will summarize

0:33:17.440 --> 0:33:20.440
<v Speaker 14>the last ten interactions with the consumer and then tell

0:33:20.480 --> 0:33:22.920
<v Speaker 14>the agent, hey, do we think this consumer is happy?

0:33:23.000 --> 0:33:25.120
<v Speaker 14>And what's the summary of how the last few interactions

0:33:25.160 --> 0:33:27.920
<v Speaker 14>went without having to look all the stuff up yourself.

0:33:27.960 --> 0:33:30.280
<v Speaker 14>I think something like that's been really really powerful.

0:33:32.480 --> 0:33:35.840
<v Speaker 3>Will shoot delivery CEO there. Meanwhile, look, you want to

0:33:35.920 --> 0:33:37.280
<v Speaker 3>order a takeout, well you've got.

0:33:37.200 --> 0:33:39.040
<v Speaker 4>To pay for it, So let's talk about that space

0:33:39.080 --> 0:33:41.840
<v Speaker 4>here in the UK right now, the fintech landscape Britain

0:33:41.960 --> 0:33:44.360
<v Speaker 4>is well imursioning one. Monso is one of the largest

0:33:44.400 --> 0:33:47.120
<v Speaker 4>digital bangs in the UK, if not the found in

0:33:47.160 --> 0:33:49.560
<v Speaker 4>eight years ago. Monso wants to be one and one

0:33:49.600 --> 0:33:52.280
<v Speaker 4>stop shop basically the key app customers turned to in

0:33:52.360 --> 0:33:55.280
<v Speaker 4>order to manage their entire financial lives. Is on bluemg's

0:33:55.320 --> 0:33:57.240
<v Speaker 4>UK Startups to Watch, And we're now very pleased to

0:33:57.280 --> 0:33:59.960
<v Speaker 4>welcome from the company the CEO Sujata Party.

0:34:00.080 --> 0:34:02.520
<v Speaker 3>Yeah, thanks so much for joining us, Thanks for having me.

0:34:03.160 --> 0:34:06.560
<v Speaker 4>So we are all about financial inclusion, all about focusing

0:34:06.560 --> 0:34:09.319
<v Speaker 4>on people basically in the UK, realizing you don't need

0:34:09.360 --> 0:34:11.560
<v Speaker 4>to be wealthy to invest, but also how easy it is.

0:34:11.640 --> 0:34:13.600
<v Speaker 3>How much of a cultural shift is that.

0:34:14.880 --> 0:34:18.480
<v Speaker 15>I think it's money causes a lot of anxiety. That

0:34:18.640 --> 0:34:20.640
<v Speaker 15>is a commonality. You don't have to be wealthy or

0:34:20.680 --> 0:34:23.160
<v Speaker 15>poor to feel anxious about your money, and certainly all

0:34:23.200 --> 0:34:25.600
<v Speaker 15>the research we've shown shows that it is one of

0:34:25.640 --> 0:34:27.960
<v Speaker 15>the biggest barriers people have to advancement. Right you can

0:34:28.000 --> 0:34:30.640
<v Speaker 15>change the world through money, education and healthcare, and so

0:34:30.760 --> 0:34:33.400
<v Speaker 15>money is definitely the common thread. Certainly, when we launched

0:34:33.400 --> 0:34:35.640
<v Speaker 15>our most recent investments product, what we found was that

0:34:35.719 --> 0:34:38.279
<v Speaker 15>seventy percent of people in the UK did not know

0:34:38.320 --> 0:34:40.680
<v Speaker 15>where to turn to to find something easy and accessible

0:34:40.680 --> 0:34:44.239
<v Speaker 15>to start investing, and sixty percent of people said that

0:34:44.280 --> 0:34:46.319
<v Speaker 15>they didn't have enough money to get start investing, which

0:34:46.320 --> 0:34:48.880
<v Speaker 15>is counterintuitive, right, which is why actually our investment product

0:34:48.920 --> 0:34:51.319
<v Speaker 15>that we launched in partnership with Blackrock allows you to

0:34:51.320 --> 0:34:53.080
<v Speaker 15>invest with as little as a pound, Because how are

0:34:53.080 --> 0:34:55.400
<v Speaker 15>you going to learn the muscles and learn the habits

0:34:55.400 --> 0:34:57.200
<v Speaker 15>to be able to help you grow your money if

0:34:57.239 --> 0:34:59.800
<v Speaker 15>you don't actually get access to it and have some

0:35:00.080 --> 0:35:01.799
<v Speaker 15>one there by your side to help you learn.

0:35:02.239 --> 0:35:05.440
<v Speaker 3>What has been the recipe? Do you think of Monzo's

0:35:05.520 --> 0:35:08.680
<v Speaker 3>scale in the UK? It was a different way of marketing.

0:35:08.719 --> 0:35:12.120
<v Speaker 4>It's a different way of organically growing. What has it

0:35:12.239 --> 0:35:14.680
<v Speaker 4>Monso been able to offer other than you know, you

0:35:14.800 --> 0:35:17.560
<v Speaker 4>came from Amex, the CEO came from These are another

0:35:17.960 --> 0:35:20.000
<v Speaker 4>age old financial institutions.

0:35:20.000 --> 0:35:21.280
<v Speaker 3>What was this fintech doing differently?

0:35:21.520 --> 0:35:23.040
<v Speaker 15>Yeah, well it's not just one thing. I think if

0:35:23.040 --> 0:35:25.279
<v Speaker 15>it was, somebody would have replicated it by now. But

0:35:25.360 --> 0:35:28.080
<v Speaker 15>we have quite a very different business model than mostly right,

0:35:28.120 --> 0:35:31.520
<v Speaker 15>we have eight point four million customers, three hundred thousand

0:35:31.520 --> 0:35:34.920
<v Speaker 15>small businesses and growing and that growth momentum is accelerating.

0:35:34.960 --> 0:35:37.319
<v Speaker 15>We're growing by almost two hundred thousand customers a month

0:35:37.360 --> 0:35:39.759
<v Speaker 15>and mostly by word of mouth, so there's an incredibly

0:35:39.800 --> 0:35:43.240
<v Speaker 15>strong customer advocacy there. We're known for our hot coreld card.

0:35:43.400 --> 0:35:46.160
<v Speaker 15>I think some of our uniqueness starts with just the

0:35:46.200 --> 0:35:48.920
<v Speaker 15>fact that we build really delightful, intuitive products, and we

0:35:49.000 --> 0:35:51.480
<v Speaker 15>build them for and with our customers. So you know,

0:35:51.520 --> 0:35:54.040
<v Speaker 15>in the very early days, we invited customers literally into

0:35:54.040 --> 0:35:56.400
<v Speaker 15>our offices and they were able to tell us what

0:35:56.440 --> 0:35:58.680
<v Speaker 15>they wanted and we built with them. Even now, at

0:35:58.680 --> 0:36:01.239
<v Speaker 15>eight and a half million customers and counting, we're still

0:36:01.320 --> 0:36:03.319
<v Speaker 15>talking to them. We have more connection points across our

0:36:03.360 --> 0:36:06.040
<v Speaker 15>business and almost any other company or a single product

0:36:06.120 --> 0:36:07.880
<v Speaker 15>might have five hundred points of feedback in it in

0:36:07.920 --> 0:36:10.200
<v Speaker 15>just a single month, So we're hearing from them and

0:36:10.239 --> 0:36:11.560
<v Speaker 15>we're acting on it really nimbly.

0:36:11.719 --> 0:36:13.560
<v Speaker 3>But there's the products that we build.

0:36:13.600 --> 0:36:17.560
<v Speaker 15>We also own our own tech stack, and that's industry leading,

0:36:17.560 --> 0:36:19.279
<v Speaker 15>and we continue to invest in it. That means that

0:36:19.320 --> 0:36:21.359
<v Speaker 15>we can be both resilient, which is important when you're

0:36:21.360 --> 0:36:24.080
<v Speaker 15>dealing with people's money, but also be able to be

0:36:24.160 --> 0:36:26.360
<v Speaker 15>nimble in terms of speed to market and create inventive

0:36:26.400 --> 0:36:29.160
<v Speaker 15>things that nobody else has done before. And then finally,

0:36:29.200 --> 0:36:31.160
<v Speaker 15>we're not sharing our margins with a lot of other suppliers,

0:36:31.200 --> 0:36:33.160
<v Speaker 15>so we can invest in customer value.

0:36:34.840 --> 0:36:40.640
<v Speaker 2>So Jata, you heard the delivery CEO there talk about inflation.

0:36:41.000 --> 0:36:43.719
<v Speaker 2>We're very conscious about the jobs market in the UK,

0:36:44.400 --> 0:36:47.520
<v Speaker 2>interest rates, all these fun things. But you talk about

0:36:47.520 --> 0:36:51.719
<v Speaker 2>being nimble, and I wondered if Monzo kind of thrives

0:36:51.719 --> 0:36:54.719
<v Speaker 2>in this environment when the consumer has to make kind

0:36:54.719 --> 0:36:57.759
<v Speaker 2>of really proactive decisions about their money, or if you're

0:36:57.800 --> 0:37:00.440
<v Speaker 2>subject to the same challenges, is sort of traditional buyers.

0:37:01.960 --> 0:37:02.839
<v Speaker 3>Oh that's a great question.

0:37:02.880 --> 0:37:06.160
<v Speaker 15>Actually, I think we're built for kind of all stages

0:37:06.200 --> 0:37:08.920
<v Speaker 15>of finance, but we really come into our own right now.

0:37:09.160 --> 0:37:11.480
<v Speaker 15>So if you think about it, we're able to give you,

0:37:11.560 --> 0:37:14.719
<v Speaker 15>whether it's a simple savings challenge or helping you open

0:37:14.760 --> 0:37:17.120
<v Speaker 15>a pot to be able to set goals. We launched

0:37:17.120 --> 0:37:22.280
<v Speaker 15>an instant access product, savings product with no barriers to entry,

0:37:22.560 --> 0:37:24.600
<v Speaker 15>no lock up periods. We had over eight hundred and

0:37:24.600 --> 0:37:27.399
<v Speaker 15>fifty thousand customers pour into that in the last six

0:37:27.480 --> 0:37:29.840
<v Speaker 15>months and start to be able to make their money

0:37:29.840 --> 0:37:30.719
<v Speaker 15>work harder for them.

0:37:30.960 --> 0:37:32.759
<v Speaker 3>We launched a home ownership solution to.

0:37:32.760 --> 0:37:35.279
<v Speaker 15>Allow people to get visibility of their mortgage within our

0:37:35.360 --> 0:37:38.000
<v Speaker 15>Monzo product, and that allows them to think about we

0:37:38.040 --> 0:37:40.359
<v Speaker 15>can help them give nudges on what's the right loan

0:37:40.440 --> 0:37:42.720
<v Speaker 15>to value ratio, how do you might maybe get access

0:37:42.760 --> 0:37:44.440
<v Speaker 15>to a better rate, and what might you do in

0:37:44.520 --> 0:37:47.400
<v Speaker 15>terms of paying it down over time our investments product.

0:37:47.400 --> 0:37:49.040
<v Speaker 15>You might say, actually, this is the wrong time to

0:37:49.080 --> 0:37:51.000
<v Speaker 15>launch an investments product, but we've found is that like

0:37:51.040 --> 0:37:53.479
<v Speaker 15>a quarter of people out there actually saying this cost

0:37:53.480 --> 0:37:56.279
<v Speaker 15>of living crisis is making them think about investing more

0:37:56.280 --> 0:37:58.200
<v Speaker 15>than ever, and so we want to help them proactively

0:37:58.200 --> 0:37:59.000
<v Speaker 15>build that muscle.

0:38:00.239 --> 0:38:01.960
<v Speaker 3>Great tows some time with you. Thank you for joining us,

0:38:02.000 --> 0:38:06.160
<v Speaker 3>Thanks for having meat. Of course, the Monzo's coo.

0:38:14.040 --> 0:38:16.480
<v Speaker 2>Meta was sued by California in a group of more

0:38:16.520 --> 0:38:20.560
<v Speaker 2>than thirty states overclaims that it's social media platforms Instagram

0:38:20.600 --> 0:38:24.520
<v Speaker 2>and Facebook exploit youths for profit and feed them harmful

0:38:24.560 --> 0:38:27.000
<v Speaker 2>content and carry This is a company that faces a

0:38:27.000 --> 0:38:30.000
<v Speaker 2>lot of litigation at the moment, and.

0:38:29.880 --> 0:38:32.839
<v Speaker 4>Indeed so to Do, the parent company of YouTube, so

0:38:32.880 --> 0:38:34.680
<v Speaker 4>To does TikTok so to do a lot of these

0:38:34.680 --> 0:38:37.600
<v Speaker 4>social media companies, and it's notable that Meta was showing

0:38:37.600 --> 0:38:38.239
<v Speaker 4>the response there.

0:38:38.239 --> 0:38:39.480
<v Speaker 3>They've reacted by saying that they.

0:38:39.480 --> 0:38:44.360
<v Speaker 4>Share the agg's commitment to providing teens with safe, positive

0:38:44.400 --> 0:38:46.959
<v Speaker 4>experiences online. But they've already introduced more than thirty tools,

0:38:46.960 --> 0:38:49.839
<v Speaker 4>they say, to support tools and their families. So it's

0:38:50.040 --> 0:38:53.280
<v Speaker 4>notable that these attorneys general are being sort of pushed

0:38:53.280 --> 0:38:55.319
<v Speaker 4>that back by Meta. Will be interesting if they comment

0:38:55.360 --> 0:38:57.680
<v Speaker 4>about it amid their earnings, which come out what them

0:38:57.719 --> 0:38:58.360
<v Speaker 4>the twenty.

0:38:58.080 --> 0:39:02.239
<v Speaker 2>Fifth Yeah, and we stick with that story in twenty

0:39:02.239 --> 0:39:02.879
<v Speaker 2>four hours time.

0:39:04.480 --> 0:39:06.680
<v Speaker 3>Meanwhile, that does it for this edition of Bluebow Technology.

0:39:07.640 --> 0:39:10.600
<v Speaker 2>Don't forget check out the podcast apples Spotify, iHeart