WEBVTT - Paramount and Skydance Revive Deal, Apple and OpenAI's Relationship Deepens

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<v Speaker 1>From Mahart where Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed Ludlow.

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<v Speaker 2>And Caroline Heide a Bloomberg's weld headquarters in New York.

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<v Speaker 2>Ed Ludlow He's off. This is bloomg Technology coming up.

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<v Speaker 3>Paramount and Skydance reach a merger agreement after collapsing last month.

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<v Speaker 3>For coverage ahead, plus Apple and open Ai deep in

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<v Speaker 3>their relationship as the iPhone maker gets.

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<v Speaker 2>An observer on the company's board.

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<v Speaker 3>And we'll turn to the intersection of health and technology

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<v Speaker 3>as we sit down with the CEO SENOFIE. But first

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<v Speaker 3>quick check on these markets, because even without the play

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<v Speaker 3>of Nvidia, we're managing to break new records. We're currently

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<v Speaker 3>up three tenths of percent on the nastag up fifty

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<v Speaker 3>nine points. You're looking at the tenure yield screeching down

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<v Speaker 3>some nine points. Why will the bad news is good news?

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<v Speaker 3>The economy is showing some signs of slow and when

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<v Speaker 3>it comes to services, and indeed on those jobless claims

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<v Speaker 3>we fall some nine basis points. As maybe the Fed

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<v Speaker 3>can indeed start to cut for the rest of the year,

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<v Speaker 3>the stock six hundred actually in Europe doing well seven

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<v Speaker 3>tens percent higher. Of course, the day before the UK

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<v Speaker 3>heads to the polls, the foot seat one of the

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<v Speaker 3>only benchmarks seeing any sort of volume on the day.

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<v Speaker 3>Let's move on and have a look at what's happening

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<v Speaker 3>on the individual assets of choice. I'm looking at crypto

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<v Speaker 3>Bitcoin under pressure by two point eight percent, six one

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<v Speaker 3>hundred and fifty six.

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<v Speaker 2>The line to look at fifty hundred and thirty five.

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<v Speaker 2>What is that? You say, one hundred and eighty three

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<v Speaker 2>daily moving average?

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<v Speaker 3>Basically that is when we start to see more bearer

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<v Speaker 3>signals from the rest of the year if we break

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<v Speaker 3>below that. Move on to the individual stocks a choice

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<v Speaker 3>and look, there's a lot to be keeping an eye

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<v Speaker 3>on Tesla once again on the higher side, up more

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<v Speaker 3>than five percent and raising this year's losses as we

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<v Speaker 3>get deliveries that were better than expected but still falling.

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<v Speaker 3>Amazon off by one and a half percent. Bezos, he's

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<v Speaker 3>selling shares as we reached that record high yesterday. In

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<v Speaker 3>paramount We're going to dig into this deal.

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<v Speaker 2>Is there one? Can it last?

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<v Speaker 3>Will Skidans finally manage to buy out show Redstone?

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<v Speaker 2>We're up seven percent.

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<v Speaker 3>But we've got some key political news for you, and

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<v Speaker 3>before we get to all of the markets, who want

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<v Speaker 3>to really understand what's haidling out of Washington. The New

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<v Speaker 3>York Times, of course, has been reporting that President Biden

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<v Speaker 3>has indeed told an ally that well, he's wondering whether

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<v Speaker 3>to continue running for president, joining us some more as

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<v Speaker 3>a host of Bloomberg's Wall Street Week, David Weston intimately

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<v Speaker 3>understanding of the functioning of the White House and politics,

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<v Speaker 3>and this does seem to be the first time we've

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<v Speaker 3>heard from Biden's team at least that there's questions.

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<v Speaker 4>Well, there's a New York Times report that a close

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<v Speaker 4>ally said that, as you say, Carolyn, at the same time,

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<v Speaker 4>we now have the White House itself as spokespun prison

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<v Speaker 4>coming out and saying the President is not considering what's

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<v Speaker 4>drawing from the race at all. But the report was

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<v Speaker 4>actually a little more nuanced, I believe, which is, he

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<v Speaker 4>knows that he's in trouble and he's going to have

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<v Speaker 4>to do something to turn it around. Was more than

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<v Speaker 4>gist of the report. Again, a true to this close ally,

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<v Speaker 4>and that shouldn't come as a big surprise. I mean

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<v Speaker 4>that the President understands as a problem. In fact, there

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<v Speaker 4>were some Democrats who were trying to say, does he

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<v Speaker 4>not get it, there's a problem. So now they're coming

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<v Speaker 4>and saying, yes, I get it, there's a problem. The

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<v Speaker 4>question is what can he do to turn this perception around?

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<v Speaker 4>After that really unfortunate for him.

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<v Speaker 3>Debate Katie Rogers doing the reporting over at the New

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<v Speaker 3>York Times, and she articulates that there's a lot that

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<v Speaker 3>we can hear from the president in the next few days.

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<v Speaker 3>He has decided to go back out on the trail

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<v Speaker 3>in a significant way and do other key interviews to

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<v Speaker 3>try and prove that he's ready, willing and enable.

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<v Speaker 4>Exactly right, Colin, I think that's the key thing, is

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<v Speaker 4>the interviews. It's one thing to go out and give

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<v Speaker 4>a scripted speech to a rally. I'm not sure that

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<v Speaker 4>they believe that will really turn things around. But he

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<v Speaker 4>has agreed to do a sit down interview with my

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<v Speaker 4>old chop ABC News and George Stephanopolis, the close friend

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<v Speaker 4>and colleague, to sit down, and I believe I'm speculating

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<v Speaker 4>now that they decided we really need to go out

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<v Speaker 4>and prove credibly that this person is up to the job.

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<v Speaker 4>At this point, and they chose George I believe at

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<v Speaker 4>least I'm prejudice because they thought he will be a

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<v Speaker 4>tough interview and he'll put him through his paces, and

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<v Speaker 4>then they can assess can the president dig himself out

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<v Speaker 4>of this hole by a performance with someone like Georgetefanopolis

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<v Speaker 4>in a one on one.

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<v Speaker 3>Extended interview that last line in the story clear eyed,

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<v Speaker 3>They said that he has an uphill battle to convince voters, donors,

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<v Speaker 3>and indeed political class. We thank you for bringing us

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<v Speaker 3>to your insight knowledge when it comes to ABC and

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<v Speaker 3>indeed what's happening when it comes to debates in politics.

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<v Speaker 2>David Weston there, we thank him.

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<v Speaker 3>Look, markets, they are going to be affected by the

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<v Speaker 3>presidential election, They're going to be affected by worldwide elections.

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<v Speaker 3>In fact, let's bring in Melissa Otto, head of TMT

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<v Speaker 3>Research and Visible Alpha.

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<v Speaker 2>Look, we want to talk to you, Melissa.

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<v Speaker 3>About whether you should be going along in video in

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<v Speaker 3>this market, whether we should be getting more into this

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<v Speaker 3>chip stocks, but just more macro perspective. Are you thinking

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<v Speaker 3>about the presidential election? How does it affect your your research?

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<v Speaker 5>Yeah, I would say that markets are terrible at discounting

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<v Speaker 5>political risk in general. Ultimately, I think fundamentals are what

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<v Speaker 5>drive starts, and there tends to be what we're focused on.

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<v Speaker 3>It is notable that many feel whether it's a Biden

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<v Speaker 3>or if it he's in binding, whether it's a dumb,

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<v Speaker 3>cractical Republican president in the Weiss House, they will focus

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<v Speaker 3>in on technology, they will continue to invest and it

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<v Speaker 3>has all been about supply chains of late. Just tell

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<v Speaker 3>us a little bit about well, where you've been looking

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<v Speaker 3>from a chip perspective, how much you've been factoring in

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<v Speaker 3>geopolitics to in video's ability to sell into China for example.

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<v Speaker 5>Yeah, I would say it's a very interesting time right

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<v Speaker 5>now for the broad AI landscape. I think the million

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<v Speaker 5>dollar question that we're very focused on at the moment

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<v Speaker 5>is what is ultimately going to drive broad adoption, what's

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<v Speaker 5>going to get users around the world really fired up

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<v Speaker 5>about generative AI, its capabilities, its ability to summarize, to

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<v Speaker 5>save time, to make people more productive. And so there's

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<v Speaker 5>two angles to this. One is a consumer angle and

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<v Speaker 5>one is an enterprise angle, and it could be a

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<v Speaker 5>hybrid of both. And I think this is the broad

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<v Speaker 5>landscape that we're looking at.

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<v Speaker 3>I think what's interesting is that what could really infuse

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<v Speaker 3>our own use case is, of course Apple the partnership

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<v Speaker 3>with open Ai. We're going to be debating that later

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<v Speaker 3>in the show as to that board presence or board

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<v Speaker 3>observation that Apple now has with open Ai. But to

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<v Speaker 3>your point, where is the infrastructure investment still needed? Look,

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<v Speaker 3>people are amazed that today we're still breaking new records

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<v Speaker 3>even though Nvidia.

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<v Speaker 2>Is trading to the downside.

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<v Speaker 3>Have we seen all the value already accreted into these

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<v Speaker 3>prices right now when it comes to the infrastructure, the

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<v Speaker 3>picks and the shovels or more to go.

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<v Speaker 5>It's hard to say. I mean, I mean, based based

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<v Speaker 5>on the analysis that we have done, their expectations have

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<v Speaker 5>come up significantly since December. We've seen in our estimates

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<v Speaker 5>revisions of in the ballpark of two hundred billion dollars

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<v Speaker 5>since last year. So, you know, I think we thought

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<v Speaker 5>it looked a bit long in the tooth last December,

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<v Speaker 5>but it continued to rally. You know, estimates continued to

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<v Speaker 5>rise another fifty to seventy five billion dollars into this year.

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<v Speaker 5>So it's it's really hard to say. However, there we

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<v Speaker 5>take a step back and think about where we are

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<v Speaker 5>in a hardware replacement cycle and what role AI may

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<v Speaker 5>play in this. This could be a very interesting place

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<v Speaker 5>to look in and where expectations have remained fairly muted

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<v Speaker 5>for the moment, and it'll be interesting to see if

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<v Speaker 5>that changes over the next six to eighteen months. What

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<v Speaker 5>are you watching them very carefully?

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<v Speaker 2>What are the stumbling rocks with that?

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<v Speaker 3>I mean, Melissa, many talk to ultimately an issue with energy,

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<v Speaker 3>but where can one be putting money to work that

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<v Speaker 3>perhaps has been overlooked to late with that replacement cycle,

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<v Speaker 3>with the need to refresh, with the need to invest.

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<v Speaker 5>Yeah, I mean, if we I mean the hardware cycle

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<v Speaker 5>went bonkers in in the COVID era. You know, I

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<v Speaker 5>think consumers enterprises just rush to get the latest laptops,

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<v Speaker 5>smartphones to really equip people to be more connected, more mobile,

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<v Speaker 5>and to be able to work without having to worry

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<v Speaker 5>about going into the office. And so that was an

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<v Speaker 5>enormous catalyst for driving that replacement cycle. Now, a normal

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<v Speaker 5>replacement cycle is normally around three to five years. And

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<v Speaker 5>you know, given that COVID started in twenty twenty, we're

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<v Speaker 5>squarely in that, you know, that area. So I think,

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<v Speaker 5>you know, as we look out over the next year

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<v Speaker 5>or so, it'll be interesting to see how companies start

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<v Speaker 5>to think about spending and where they where they want

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<v Speaker 5>to upgrade. Now, we've had a couple of compelling announcements

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<v Speaker 5>by Microsoft and other laptop manufacturers, you know, showcasing their

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<v Speaker 5>new AI laptops. Now, are these new AI laptops potentially

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<v Speaker 5>going to get enterprises excited about the capabilities of Generative

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<v Speaker 5>A to make their employees more empowered, more productive in

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<v Speaker 5>a way they could really hit their bottom lines and

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<v Speaker 5>ultimately drive that replacement cycle more than expectations. Current expectations

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<v Speaker 5>are right around fifteen to twenty percent below where the

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<v Speaker 5>peak COVID units were, So what could potentially drive.

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<v Speaker 2>It some upside?

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<v Speaker 3>Well, Best Buy certainly investing in their talent pool to

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<v Speaker 3>be able to help sell those aipcs. When I say also,

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<v Speaker 3>we thank you so much. Had a TMT researcher for

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<v Speaker 3>Visible Alpha, all things markets and focus there coming up

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<v Speaker 3>that we've got to get into the deal paramounts deal

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<v Speaker 3>with s guidance.

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<v Speaker 2>It's been revived. We'll have all the details next.

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<v Speaker 3>This is BlueBag Technology. Shares of Paramount absolutely popping today.

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<v Speaker 3>Once again, Speculation is rife. Have we got a deal

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<v Speaker 3>between the company and the independent film and TV producers

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<v Speaker 3>Skuydance Media. They've been revived looking to buy out Sharry Redstone,

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<v Speaker 3>of course her particular controlling stake, and the deal reports

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<v Speaker 3>continue to drive shares higher and indeed well analysts trying

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<v Speaker 3>to understand whether this is in any way longer term

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<v Speaker 3>good fundamental for paramount National Amusements. Of course, in Skydance

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<v Speaker 3>re engaging in those talks. Laura Martin, the senior entertainment

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<v Speaker 3>internet analyst and niederm and Co. Has been following this

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<v Speaker 3>saga that will eventually be a movie for the last

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<v Speaker 3>seven months, and Laura, I mean, we get hints from

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<v Speaker 3>the Wall Street Journal that of a price point of

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<v Speaker 3>one point seventy five billion dollars for the National Amusement stake,

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<v Speaker 3>is that enough and what does it mean for the

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<v Speaker 3>non voting shareholders?

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<v Speaker 1>Right, so, the rumors is that the non voting shareholders

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<v Speaker 1>in the second step would get fifty half of their

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<v Speaker 1>shares taken out at.

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<v Speaker 6>Fifteen dollars a share, which is quite a bit higher.

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<v Speaker 1>Than today's move, which means that Wall Street's skeptical this

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<v Speaker 1>deal will go through too. Otherwise, I think that gap

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<v Speaker 1>would be narrower. So I think I think that Skydance. Look,

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<v Speaker 1>two things changed in this deal compared to the deal

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<v Speaker 1>Shearing walked away from a couple of weeks ago.

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<v Speaker 6>One is it doesn't require the.

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<v Speaker 1>Approval of the Independent Committee, but it all Instead, what

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<v Speaker 1>she got was a forty five day shopping period. So

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<v Speaker 1>in litigation, because she's going to get sued over this,

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<v Speaker 1>because she's getting better terms than public shareholders, that when

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<v Speaker 1>they get to court where the public shareholders are suing

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<v Speaker 1>her for taking a sweetheart deal from Skydance, she can say, look,

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<v Speaker 1>we shopped her for forty five days. No one else

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<v Speaker 1>stepped in at this price point or more, and therefore

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<v Speaker 1>we didn't screw you over public shareholders.

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<v Speaker 3>So in that anticipation, the worry, the anxiety that Sharry

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<v Speaker 3>Redstone has that she will be taken to court, what

0:11:44.920 --> 0:11:47.520
<v Speaker 3>do you think that forty five day shopping experience will

0:11:47.960 --> 0:11:50.280
<v Speaker 3>garne in any way? Laurie, You just give the viewpoint

0:11:50.320 --> 0:11:51.640
<v Speaker 3>that no one's going to step forward.

0:11:52.960 --> 0:11:56.400
<v Speaker 1>You know, I think most other companies would rather just

0:11:56.480 --> 0:11:59.960
<v Speaker 1>buy Paramount and not give the money to National Amusement

0:12:00.160 --> 0:12:04.160
<v Speaker 1>to her, But I don't expect them to go away

0:12:04.200 --> 0:12:06.680
<v Speaker 1>because as you say, this saga is like the Boy

0:12:06.679 --> 0:12:08.840
<v Speaker 1>who Cried Wolf. I mean, this deal's been on and

0:12:08.880 --> 0:12:10.640
<v Speaker 1>off at least four times that I can think of.

0:12:10.800 --> 0:12:14.640
<v Speaker 6>So if I was somebody else, I wouldn't stop doing

0:12:14.679 --> 0:12:15.360
<v Speaker 6>trying to do deals.

0:12:15.360 --> 0:12:18.000
<v Speaker 1>And you saw the Warner headline today that Warner is

0:12:18.040 --> 0:12:20.840
<v Speaker 1>thinking of trying to put it streaming businesses together, specifically

0:12:20.960 --> 0:12:23.160
<v Speaker 1>HBO Max with Paramount Plus to try to create a

0:12:23.200 --> 0:12:26.280
<v Speaker 1>bundle to comb out the Disney bundle with Hulu.

0:12:26.600 --> 0:12:28.240
<v Speaker 6>And so that's a smart idea.

0:12:28.360 --> 0:12:31.319
<v Speaker 1>So other business is going to get done here while

0:12:31.360 --> 0:12:34.560
<v Speaker 1>the fight for the top of who actually owns controls

0:12:34.600 --> 0:12:36.480
<v Speaker 1>the entity continues.

0:12:36.240 --> 0:12:39.319
<v Speaker 3>And potentially a sell off of BT we were expecting

0:12:39.360 --> 0:12:41.840
<v Speaker 3>that and senior management looking to take that over in

0:12:41.880 --> 0:12:44.280
<v Speaker 3>some way, Laura. So there are different parts of the

0:12:44.320 --> 0:12:46.800
<v Speaker 3>asset pile here, and yesterday we're all talking about the

0:12:46.880 --> 0:12:49.120
<v Speaker 3>room and that Barrydilla was eyeing, and of course previously

0:12:49.160 --> 0:12:51.360
<v Speaker 3>had run the problem at movie part of the business

0:12:52.040 --> 0:12:54.440
<v Speaker 3>when you're looking at the share price and you're saying,

0:12:54.440 --> 0:12:56.560
<v Speaker 3>at the moment it doesn't go all the way to

0:12:56.679 --> 0:13:00.640
<v Speaker 3>potentially fifteen dollars a share, that the voting on voting

0:13:00.800 --> 0:13:03.000
<v Speaker 3>b class would get what.

0:13:03.000 --> 0:13:03.600
<v Speaker 2>Should they do?

0:13:03.720 --> 0:13:07.880
<v Speaker 3>If I am an investor, a significant investor in the costbiches,

0:13:08.200 --> 0:13:09.160
<v Speaker 3>what do I do at this moment?

0:13:10.320 --> 0:13:12.959
<v Speaker 1>So I would wait to see who's the president of

0:13:12.960 --> 0:13:15.760
<v Speaker 1>the United States because as it currently so, the problem

0:13:15.840 --> 0:13:20.880
<v Speaker 1>right now the Biden administration has really negative M and

0:13:20.920 --> 0:13:23.000
<v Speaker 1>A people at the head of all these agencies. But

0:13:23.040 --> 0:13:26.440
<v Speaker 1>if we get a presidential switch, this industry we're talking

0:13:26.440 --> 0:13:28.319
<v Speaker 1>about right here all needs to consolidate.

0:13:28.360 --> 0:13:29.600
<v Speaker 6>They all need to buy each other.

0:13:29.679 --> 0:13:31.680
<v Speaker 1>There needs to be three competitors where they can rip

0:13:31.679 --> 0:13:34.880
<v Speaker 1>out costs, and Disney gets needs to get bought by Apple.

0:13:35.360 --> 0:13:38.319
<v Speaker 1>None of that consolidation can happen under the Biden administration.

0:13:38.360 --> 0:13:40.440
<v Speaker 1>But if we get a flip in presidency, I would

0:13:40.440 --> 0:13:42.920
<v Speaker 1>wait for that, And if the day that happens, I

0:13:42.920 --> 0:13:45.760
<v Speaker 1>think they'll be massive consolidation in media over the next.

0:13:45.679 --> 0:13:48.000
<v Speaker 6>Four years because all those all.

0:13:48.040 --> 0:13:49.720
<v Speaker 1>The head of the DJ will change, the head of

0:13:49.720 --> 0:13:52.079
<v Speaker 1>the FTC will change, the head of the FCC will

0:13:52.120 --> 0:13:54.800
<v Speaker 1>change to a Republican, and I think they'll be far

0:13:54.880 --> 0:13:58.760
<v Speaker 1>more sympathetic to allowing these the consolidation to occur to

0:13:58.760 --> 0:13:59.400
<v Speaker 1>cut costs.

0:14:00.120 --> 0:14:02.480
<v Speaker 3>Laura, we love it because you bring the viewpoints so

0:14:02.520 --> 0:14:05.920
<v Speaker 3>who remains on top. Who eventually in four years time,

0:14:06.120 --> 0:14:08.600
<v Speaker 3>if we do indeed get a change in the White

0:14:08.640 --> 0:14:10.080
<v Speaker 3>House wins out.

0:14:10.120 --> 0:14:11.280
<v Speaker 2>Who survives.

0:14:12.840 --> 0:14:16.760
<v Speaker 1>YouTube number one streamer, Amazon Prime, number two streamer? I

0:14:16.760 --> 0:14:20.120
<v Speaker 1>think the Disney Empire number three streamer, although I think

0:14:20.120 --> 0:14:24.640
<v Speaker 1>Apple should buy Disney, and I think these other ones.

0:14:24.680 --> 0:14:25.440
<v Speaker 6>I think Peacock.

0:14:25.680 --> 0:14:29.560
<v Speaker 1>Peacock can't buy CBS, which Paramount owns, but Warner Brothers can,

0:14:29.720 --> 0:14:32.720
<v Speaker 1>so maybe Paramount. Ultimately it doesn't go to sky Dance

0:14:33.200 --> 0:14:35.400
<v Speaker 1>because I'm sort of skeptical after they're on and off

0:14:35.440 --> 0:14:36.280
<v Speaker 1>all the time.

0:14:36.480 --> 0:14:38.800
<v Speaker 6>Then it should go in pieces to different people.

0:14:38.920 --> 0:14:40.800
<v Speaker 1>I think they if they waited to see what happened

0:14:40.800 --> 0:14:42.160
<v Speaker 1>in the election, they might be able to get a

0:14:42.160 --> 0:14:44.600
<v Speaker 1>better price. But I understand that Sherry wants to get

0:14:44.600 --> 0:14:46.200
<v Speaker 1>this done. She's got a lot of debt do it's

0:14:46.280 --> 0:14:48.359
<v Speaker 1>unclear she can pay unless she gets the steal.

0:14:48.120 --> 0:14:50.920
<v Speaker 3>Done precisely, so she can't wait. We all look to

0:14:50.960 --> 0:14:54.680
<v Speaker 3>what's happening in some valley. Will a deal be announced

0:14:54.720 --> 0:14:55.200
<v Speaker 3>this weekend?

0:14:55.200 --> 0:14:55.640
<v Speaker 2>Do you think?

0:14:55.720 --> 0:14:58.160
<v Speaker 3>And ultimately talk us through the next steps of your

0:14:58.200 --> 0:14:59.760
<v Speaker 3>own research at this point.

0:15:00.480 --> 0:15:03.320
<v Speaker 1>Right so, you know there's no Harvard Business School case

0:15:03.360 --> 0:15:06.000
<v Speaker 1>ever that says three. A three person committee is a

0:15:06.000 --> 0:15:08.400
<v Speaker 1>better form of leadership than a single leader, and that's

0:15:08.440 --> 0:15:09.320
<v Speaker 1>what we have at Paramount.

0:15:09.360 --> 0:15:10.840
<v Speaker 6>We have a three person committee.

0:15:11.160 --> 0:15:14.080
<v Speaker 1>So really there's no management, like there's no government, so

0:15:14.240 --> 0:15:16.840
<v Speaker 1>it needs to go. And they've just just destroyed like

0:15:16.880 --> 0:15:19.280
<v Speaker 1>seventy percent of the value. Oh well, and then if

0:15:19.280 --> 0:15:22.160
<v Speaker 1>Trump gets in and everybody's consolidating. It just took the

0:15:22.480 --> 0:15:25.520
<v Speaker 1>the worst possible price because it had to at Paramount.

0:15:25.960 --> 0:15:28.120
<v Speaker 1>But then I think we get a lot of consolidation

0:15:28.360 --> 0:15:30.040
<v Speaker 1>over the next four years and we end up at

0:15:30.040 --> 0:15:31.920
<v Speaker 1>the end of the true if there's a Trump administration,

0:15:32.000 --> 0:15:35.240
<v Speaker 1>we would end up with three competitors, maybe four, including

0:15:35.520 --> 0:15:41.600
<v Speaker 1>Apple and Amazon. I'm sorry, Amazon and Comcast, Peacock and Disney.

0:15:42.280 --> 0:15:46.680
<v Speaker 2>So what eleven dollars do we buy.

0:15:46.600 --> 0:15:49.680
<v Speaker 6>At eleven dollars? No, I don't think you do.

0:15:50.440 --> 0:15:52.320
<v Speaker 1>I think they've gone on and off with this deal

0:15:52.480 --> 0:15:55.080
<v Speaker 1>too many times, so no, I don't think you buy it.

0:15:55.120 --> 0:15:58.600
<v Speaker 3>Here, Laura Martin, we love having on the show. Thank you,

0:15:58.640 --> 0:16:09.680
<v Speaker 3>Seing Entertainment and Internet over Anina and Co. Following the

0:16:09.680 --> 0:16:14.120
<v Speaker 3>Supreme Court's decision to overturn that Chevron doctrine, lawmakers will

0:16:14.160 --> 0:16:16.760
<v Speaker 3>now be forced to become or more specific about how

0:16:16.800 --> 0:16:19.280
<v Speaker 3>they regulate AI, and for at least the past four years,

0:16:19.360 --> 0:16:22.720
<v Speaker 3>judges have deferred to administrative agencies to interpret vague laws

0:16:22.760 --> 0:16:25.000
<v Speaker 3>written by Congress. But now with the overturning of the

0:16:25.080 --> 0:16:27.760
<v Speaker 3>Chevron doctrine, it raises the states for Congress to write

0:16:27.840 --> 0:16:30.800
<v Speaker 3>legislation more efficiently, which could prove difficult in the field

0:16:30.840 --> 0:16:33.640
<v Speaker 3>of artificial intelligence. Of of course, the rapid development and the

0:16:33.680 --> 0:16:38.600
<v Speaker 3>volatility of the technology. I'm talking with the technology and

0:16:38.640 --> 0:16:41.080
<v Speaker 3>how it's being adopted. It's time now for our weekly

0:16:41.120 --> 0:16:44.120
<v Speaker 3>AI in Action segment for more insight on basically how

0:16:44.160 --> 0:16:46.240
<v Speaker 3>you the enterprise are adopting AI.

0:16:46.280 --> 0:16:46.840
<v Speaker 2>And please to say.

0:16:46.880 --> 0:16:49.760
<v Speaker 3>We're joined by Glean, CEO of in Jane and you're

0:16:49.840 --> 0:16:52.680
<v Speaker 3>talking about well, a new launch, your new platform which

0:16:52.720 --> 0:16:55.320
<v Speaker 3>is going to be helping companies build custom AI apps,

0:16:55.560 --> 0:16:57.920
<v Speaker 3>maybe some AI agents. We have been talking about AI

0:16:58.000 --> 0:17:01.400
<v Speaker 3>agents for months of in but there are still blockers.

0:17:01.520 --> 0:17:03.720
<v Speaker 3>Is to really make them effective? How will you help

0:17:03.760 --> 0:17:04.600
<v Speaker 3>businesses adopt it?

0:17:06.760 --> 0:17:10.879
<v Speaker 7>So, Gleen, AI agents are connected with all of it

0:17:11.080 --> 0:17:14.359
<v Speaker 7>enterprise knowledge and think of them like humans that can

0:17:14.400 --> 0:17:16.720
<v Speaker 7>actually use all of that knowledge to help you do

0:17:16.840 --> 0:17:17.480
<v Speaker 7>your work.

0:17:18.600 --> 0:17:20.040
<v Speaker 2>How who do they work.

0:17:20.080 --> 0:17:23.800
<v Speaker 3>Who have you been already working with to ensure that

0:17:24.160 --> 0:17:26.119
<v Speaker 3>when they're looking at their slack, when they're looking at

0:17:26.119 --> 0:17:30.560
<v Speaker 3>their intercompany and communication, the agency AI they bring to

0:17:30.640 --> 0:17:33.640
<v Speaker 3>bear really works with them.

0:17:34.000 --> 0:17:37.239
<v Speaker 7>So Gleen AI agents are actually used by almost all

0:17:37.320 --> 0:17:40.600
<v Speaker 7>the people inside any enterprise. You know. Think about engineers,

0:17:41.040 --> 0:17:44.959
<v Speaker 7>support people, your salespeople, all of them have you know,

0:17:45.320 --> 0:17:48.679
<v Speaker 7>different needs. You know that now AI is actually you know,

0:17:48.800 --> 0:17:51.639
<v Speaker 7>very capable of helping them with and like save a

0:17:51.680 --> 0:17:53.640
<v Speaker 7>lot of time for them. So, you know, for example,

0:17:53.640 --> 0:17:56.879
<v Speaker 7>think about engineers. You know, they're always like you know,

0:17:57.400 --> 0:18:01.880
<v Speaker 7>wanting to sort of get help writing code, helping toubleshoot issues,

0:18:02.280 --> 0:18:05.720
<v Speaker 7>and so glean AI agents can actually help them, you

0:18:05.720 --> 0:18:07.720
<v Speaker 7>know sort of do you know, work work on that

0:18:07.800 --> 0:18:11.440
<v Speaker 7>much faster than they could before. Think about customer care agents,

0:18:11.480 --> 0:18:14.000
<v Speaker 7>you know, day and day out, they are looking for

0:18:15.560 --> 0:18:18.520
<v Speaker 7>like how to resolve questions that the customers ask, and

0:18:18.680 --> 0:18:21.840
<v Speaker 7>Glean AI assistant will actually help them answer those questions

0:18:21.880 --> 0:18:22.200
<v Speaker 7>for them.

0:18:22.520 --> 0:18:24.520
<v Speaker 3>I believe you've got over two hundred customers. We're talking

0:18:24.640 --> 0:18:30.359
<v Speaker 3>data bricks, Camevra bill. But why would a company choose

0:18:30.400 --> 0:18:35.000
<v Speaker 3>glean over I don't know, chatchypt enterprise or Microsoft suffering.

0:18:36.960 --> 0:18:39.960
<v Speaker 7>So Glean has some of the world's leading enterprise companies,

0:18:40.119 --> 0:18:43.280
<v Speaker 7>many companies in the you know, you know, you know

0:18:43.359 --> 0:18:47.040
<v Speaker 7>Global two thousand that used to you know, Glean and

0:18:47.080 --> 0:18:49.439
<v Speaker 7>bring the product to all of their customers. Some of

0:18:49.480 --> 0:18:53.439
<v Speaker 7>the key reasons why Glean works better than Microsoft you

0:18:53.440 --> 0:18:58.240
<v Speaker 7>know Copilot or or Chat GPT is Gleen actually comes

0:18:58.280 --> 0:19:01.600
<v Speaker 7>with deep integration, you know, built into all of your

0:19:01.720 --> 0:19:05.760
<v Speaker 7>enterprise systems, like systems like Slack or sales Force or

0:19:06.200 --> 0:19:09.000
<v Speaker 7>Google Drive or Microsoft systems. Like if you think about

0:19:09.040 --> 0:19:11.440
<v Speaker 7>any large enterprise, you know, they have knowledge, there's you

0:19:11.520 --> 0:19:14.840
<v Speaker 7>know that's spread across many of these different systems, and

0:19:14.960 --> 0:19:17.399
<v Speaker 7>you know, and and actually to make AI work on

0:19:17.480 --> 0:19:20.080
<v Speaker 7>all of that knowledge and do useful things for you,

0:19:20.080 --> 0:19:22.840
<v Speaker 7>you have to first go and connect with those systems

0:19:23.040 --> 0:19:24.880
<v Speaker 7>and do it in a secure and safe way. And

0:19:24.920 --> 0:19:28.280
<v Speaker 7>that's where you know that Glink comes really handy, you know,

0:19:28.320 --> 0:19:30.120
<v Speaker 7>with our enterprise integrations.

0:19:30.200 --> 0:19:32.600
<v Speaker 3>Okay, so you've got the integrations. Maybe that could be

0:19:32.640 --> 0:19:37.480
<v Speaker 3>replicated replicated by others, but I'm interested is what perhaps

0:19:37.560 --> 0:19:40.640
<v Speaker 3>they can't replicate over at Microsoft is well using other

0:19:40.800 --> 0:19:43.399
<v Speaker 3>large language models. They're fully embedded with open AI whereas

0:19:43.400 --> 0:19:45.480
<v Speaker 3>you're kind of more agnostic. You've got open AI, you've

0:19:45.480 --> 0:19:48.159
<v Speaker 3>got anthropic Why go that route?

0:19:49.960 --> 0:19:51.520
<v Speaker 7>Well, I mean, like you said, I mean all of

0:19:51.560 --> 0:19:54.080
<v Speaker 7>these models, like there's so much competition in the market

0:19:54.520 --> 0:19:58.320
<v Speaker 7>and and you'll see, you know, each model having like

0:19:58.400 --> 0:20:01.560
<v Speaker 7>you know, some you know unique strength, and you know,

0:20:01.760 --> 0:20:04.199
<v Speaker 7>as a customer, like you want to make sure that

0:20:04.240 --> 0:20:06.160
<v Speaker 7>you know you have access to the best of all

0:20:06.200 --> 0:20:08.240
<v Speaker 7>the models that are out there. And that's what Gleen

0:20:08.280 --> 0:20:10.600
<v Speaker 7>actually helps you do. We work with all the different

0:20:10.880 --> 0:20:14.360
<v Speaker 7>AI models and depending on like your use case, your environment,

0:20:14.680 --> 0:20:16.680
<v Speaker 7>like there's a particular model that you know suits your

0:20:16.760 --> 0:20:19.760
<v Speaker 7>needs the most and will actually use that model for

0:20:19.800 --> 0:20:21.280
<v Speaker 7>you and give you that flexibility.

0:20:21.880 --> 0:20:23.560
<v Speaker 3>Great to have some time with you. Thank you for

0:20:23.560 --> 0:20:25.960
<v Speaker 3>coming to us live from India today. Glean CEO OF

0:20:26.119 --> 0:20:29.680
<v Speaker 3>and Jaine say, well, meanwhile, it's time now for talking

0:20:29.760 --> 0:20:30.679
<v Speaker 3>tech and first up.

0:20:30.720 --> 0:20:31.879
<v Speaker 2>Keywords Studios.

0:20:32.280 --> 0:20:34.240
<v Speaker 3>Let's agreed to a two and a half billion dollar

0:20:34.320 --> 0:20:37.960
<v Speaker 3>offer from investment firm EQT. Investors will get about twenty

0:20:38.000 --> 0:20:40.600
<v Speaker 3>six dollars forty per share in a cashdown from an

0:20:40.600 --> 0:20:44.080
<v Speaker 3>earlier offer of twenty seven dollars fifty. That's because Keywords

0:20:44.119 --> 0:20:46.600
<v Speaker 3>worked on popular titles such as Fortnite in Call of Duty,

0:20:46.840 --> 0:20:49.560
<v Speaker 3>but accepted the lower price after the gaming services industry

0:20:49.720 --> 0:20:54.400
<v Speaker 3>was hit with delays and canceled orders. Now Jim Rackliss

0:20:54.520 --> 0:20:58.040
<v Speaker 3>Inears Group is delaying its electric suv. Production of the

0:20:58.119 --> 0:21:00.960
<v Speaker 3>vehicle was expected to begin in twenty twenty seven, but

0:21:01.080 --> 0:21:03.240
<v Speaker 3>the company has now put the car on the back burner,

0:21:03.440 --> 0:21:05.879
<v Speaker 3>citing waning consumer demand for ebs and.

0:21:06.000 --> 0:21:07.359
<v Speaker 2>Uncertainty around tariffs.

0:21:07.680 --> 0:21:11.600
<v Speaker 3>No new timeline for production was specified, and shares a

0:21:11.680 --> 0:21:15.320
<v Speaker 3>soft Bank rising to an all time high. Look the

0:21:15.400 --> 0:21:17.280
<v Speaker 3>rally has been indicating a vote of confidence in CEO

0:21:17.320 --> 0:21:19.760
<v Speaker 3>Masayoshi San as he's really been ramping up investments in

0:21:19.840 --> 0:21:23.360
<v Speaker 3>oddificial intelligence and semiconductors. Soft Bank also getting a lift

0:21:23.359 --> 0:21:25.760
<v Speaker 3>with a help from the nickety two pis recovery. Of course,

0:21:25.760 --> 0:21:36.200
<v Speaker 3>it's expected to help boost the firm's earnings. Welcome back

0:21:36.200 --> 0:21:38.440
<v Speaker 3>to Bluemog Technology and Karen Hide in New York. Quick

0:21:38.520 --> 0:21:41.400
<v Speaker 3>check on these markets because a lot of political anxiety

0:21:41.440 --> 0:21:43.560
<v Speaker 3>here in the United States, But more broadly, we're focused

0:21:43.600 --> 0:21:45.439
<v Speaker 3>on the macro data fact that we've got perhaps some

0:21:45.480 --> 0:21:48.280
<v Speaker 3>slowing services data and indeed a little bit of calling

0:21:48.320 --> 0:21:49.840
<v Speaker 3>going on in the labor market. All eyes on non

0:21:49.880 --> 0:21:52.000
<v Speaker 3>farm pay rolls later this week. Now's that one hundred

0:21:52.000 --> 0:21:53.879
<v Speaker 3>and up to five tenths of a percent. Can the

0:21:53.920 --> 0:21:56.679
<v Speaker 3>FED cut into a scenario where services is cooling?

0:21:56.800 --> 0:21:57.920
<v Speaker 2>That is currently the bed on Wall.

0:21:57.840 --> 0:21:59.639
<v Speaker 3>Street, I'm looking at ten yure yield crushing down some

0:21:59.680 --> 0:22:01.880
<v Speaker 3>eight points on the back of some of that data.

0:22:02.000 --> 0:22:03.920
<v Speaker 3>But interestingly, we're looking at what's happening in Europe. We

0:22:04.040 --> 0:22:05.560
<v Speaker 3>close out the day on the higher side on the

0:22:05.560 --> 0:22:07.800
<v Speaker 3>stock six hundred and indeed on the foote one hundred

0:22:07.800 --> 0:22:10.359
<v Speaker 3>and six tens percent. That says, of course the UK

0:22:10.520 --> 0:22:13.359
<v Speaker 3>population head to the polls come tomorrow. We're up six

0:22:13.400 --> 0:22:16.120
<v Speaker 3>tenser percent because largely minus international company is doing well.

0:22:16.160 --> 0:22:17.680
<v Speaker 3>Move on, have a look at some of the individual

0:22:17.720 --> 0:22:21.399
<v Speaker 3>movers that I'm seeing and look four percent higher for Tesla,

0:22:21.480 --> 0:22:23.520
<v Speaker 3>let's call it five percent, let's call it most of

0:22:23.520 --> 0:22:26.040
<v Speaker 3>the losses of twenty twenty four are raised so far

0:22:26.160 --> 0:22:28.919
<v Speaker 3>with Tesla, with all eyes on the Robotaxi event August

0:22:28.960 --> 0:22:31.160
<v Speaker 3>the eighth, all eyes on the fact that actually deliveries

0:22:31.280 --> 0:22:33.480
<v Speaker 3>came out better than expected, even if we did slow

0:22:34.320 --> 0:22:36.480
<v Speaker 3>and quarter a year on year. I'm looking at Nvidia

0:22:36.680 --> 0:22:39.359
<v Speaker 3>down well up two point seven percent, if we're now

0:22:39.600 --> 0:22:41.760
<v Speaker 3>back on top. It was lower, and there was much

0:22:41.800 --> 0:22:43.040
<v Speaker 3>being said about the fact that the S and P

0:22:43.080 --> 0:22:44.640
<v Speaker 3>five hundred yesterday reached a.

0:22:44.600 --> 0:22:45.400
<v Speaker 2>New record high.

0:22:45.440 --> 0:22:48.159
<v Speaker 3>So did the naznag even within Vidia not playing Today

0:22:48.200 --> 0:22:50.040
<v Speaker 3>we go along and again we're up at one hundred

0:22:50.040 --> 0:22:52.520
<v Speaker 3>and twenty five dollars for the chip maker. And of

0:22:52.560 --> 0:22:55.280
<v Speaker 3>course what's happening with Apple training flat on the day

0:22:55.320 --> 0:22:58.000
<v Speaker 3>we had actually seen up about five ten percent in

0:22:58.080 --> 0:22:58.880
<v Speaker 3>earlier trade.

0:22:59.040 --> 0:23:00.920
<v Speaker 2>Much being made really on what's.

0:23:00.720 --> 0:23:03.879
<v Speaker 3>Happening with Apple and it's AI play Apple Intelligence and

0:23:03.960 --> 0:23:07.159
<v Speaker 3>indeed Open ai the relationship there we understand it secured

0:23:07.200 --> 0:23:10.040
<v Speaker 3>an observer role on open AI's board as part of

0:23:10.080 --> 0:23:12.800
<v Speaker 3>an agreement announced last month. Who had the scope of

0:23:12.800 --> 0:23:16.280
<v Speaker 3>course ours our own Mark German And so is this

0:23:16.320 --> 0:23:20.360
<v Speaker 3>impactful to almost be neck and neck with Microsoft here

0:23:20.400 --> 0:23:21.920
<v Speaker 3>with an observer position on the board.

0:23:23.240 --> 0:23:25.159
<v Speaker 8>Thank you so much for having me. Yeah, having an

0:23:25.160 --> 0:23:29.240
<v Speaker 8>observer position on the open ai board means this partnership

0:23:29.280 --> 0:23:32.080
<v Speaker 8>between Apple and open ai is a little bit tighter

0:23:32.119 --> 0:23:35.640
<v Speaker 8>than we had anticipated. Right, This seemed like a simple

0:23:35.840 --> 0:23:41.359
<v Speaker 8>integration of chat GPT into Apple Intelligence obviously the first

0:23:41.359 --> 0:23:44.960
<v Speaker 8>partner here by by having a board observer role, Apple

0:23:45.000 --> 0:23:47.680
<v Speaker 8>gets more insight into the decision making at the company,

0:23:47.920 --> 0:23:49.800
<v Speaker 8>and this is something that probably came in response to

0:23:49.800 --> 0:23:53.479
<v Speaker 8>all the controversy that was facing open AI in the

0:23:53.520 --> 0:23:56.040
<v Speaker 8>months prior to the agreement between Apple.

0:23:55.720 --> 0:23:57.040
<v Speaker 6>And the company being announced.

0:23:57.240 --> 0:23:59.560
<v Speaker 8>Apple probably said, if you want this to go through,

0:24:00.200 --> 0:24:02.560
<v Speaker 8>to know how your company is run and what's going on.

0:24:02.520 --> 0:24:05.879
<v Speaker 3>There, and tell us about Phil Schiller, who they've chosen

0:24:05.920 --> 0:24:06.760
<v Speaker 3>to be that observer.

0:24:08.080 --> 0:24:11.399
<v Speaker 8>Still Schilder, his title is Apple Fellow. He's in charge

0:24:11.440 --> 0:24:15.320
<v Speaker 8>of the app store and Apple's product presentations, including the

0:24:15.359 --> 0:24:18.399
<v Speaker 8>one where the opening ideal was announced in June at

0:24:18.440 --> 0:24:22.120
<v Speaker 8>its Worldwide Developers Conference. He's been at Apple about three decades,

0:24:22.760 --> 0:24:25.639
<v Speaker 8>very much a top lieutenant still to Tim Cook and

0:24:25.920 --> 0:24:28.920
<v Speaker 8>was one of the closest lieutenants and friends of Steve Jobs.

0:24:29.359 --> 0:24:33.320
<v Speaker 8>He ran Apple's marketing organization for well over twenty years.

0:24:33.880 --> 0:24:36.320
<v Speaker 8>He's known as one of the biggest defenders at the

0:24:36.359 --> 0:24:41.160
<v Speaker 8>company of Apple's privacy stances is product development process, it's

0:24:41.400 --> 0:24:48.360
<v Speaker 8>overall brand image and given the concerns over different concerns

0:24:48.359 --> 0:24:51.840
<v Speaker 8>from open AI and the safety with AI training, concerns

0:24:51.840 --> 0:24:56.159
<v Speaker 8>about Sam Altman, concerns about their technology concerns about ethics

0:24:56.200 --> 0:25:00.800
<v Speaker 8>and artificial intelligence concerns about hallucinations. It doesn't make sense

0:25:00.840 --> 0:25:03.399
<v Speaker 8>for someone like Schiller with that mindset to be the

0:25:03.400 --> 0:25:05.920
<v Speaker 8>one in that board observe role, especially if they're looking

0:25:05.920 --> 0:25:08.959
<v Speaker 8>for someone who's not from the AI sided Apple, who

0:25:09.000 --> 0:25:12.240
<v Speaker 8>would be in direct competition with the AI side of

0:25:12.320 --> 0:25:12.800
<v Speaker 8>open Ai.

0:25:13.359 --> 0:25:16.359
<v Speaker 3>Yeah, some awkward moments where maybe you're having to be

0:25:16.400 --> 0:25:19.400
<v Speaker 3>excused from certain board meetings when they really get into

0:25:19.400 --> 0:25:20.440
<v Speaker 3>the nitty gritty of AI.

0:25:20.600 --> 0:25:20.840
<v Speaker 2>Mark.

0:25:20.880 --> 0:25:23.880
<v Speaker 3>I'm interested in whether or not it is all about

0:25:23.920 --> 0:25:26.480
<v Speaker 3>open ai for Apple now because they were in talks

0:25:26.520 --> 0:25:28.280
<v Speaker 3>with other providers for large rue which models.

0:25:29.280 --> 0:25:32.080
<v Speaker 8>Yeah, open Ai certainly, they've said for a while offers

0:25:32.119 --> 0:25:35.239
<v Speaker 8>the best chatbot with chat GPT and that feature that

0:25:35.320 --> 0:25:37.920
<v Speaker 8>open Ai is integrated into. It's all about the chatbot,

0:25:38.080 --> 0:25:42.720
<v Speaker 8>all about texting questions or voicing questions into Siri while

0:25:42.800 --> 0:25:45.840
<v Speaker 8>using your iPhone, iPad or Mac and as a reporter.

0:25:45.920 --> 0:25:47.679
<v Speaker 8>That's going to come to the Apple Vision pro as

0:25:47.680 --> 0:25:50.720
<v Speaker 8>well as early as next year. But it doesn't stop

0:25:50.760 --> 0:25:53.560
<v Speaker 8>at open Ai. Apple's goals to have an ecosystem of

0:25:53.560 --> 0:25:57.520
<v Speaker 8>different chatbot providers that users can choose from, not dissimilar

0:25:57.560 --> 0:26:01.639
<v Speaker 8>to how you can choose between Yahoo being Google, Duckdutgo

0:26:02.280 --> 0:26:05.640
<v Speaker 8>as your search engine in Safari or any other mobile platform.

0:26:05.720 --> 0:26:09.760
<v Speaker 8>So they're still engaged in conversations with Google Gemini as

0:26:09.800 --> 0:26:11.920
<v Speaker 8>an alternative to Open AI for people who may want

0:26:11.920 --> 0:26:15.160
<v Speaker 8>to use that platform. Obviously, that would be an extension

0:26:15.160 --> 0:26:16.960
<v Speaker 8>of the Google Search deal, so it would makes sense

0:26:17.000 --> 0:26:19.680
<v Speaker 8>that Google would get in there. The other company they've

0:26:19.680 --> 0:26:23.240
<v Speaker 8>been talking to is Inthropic. They're also a big AI provider.

0:26:23.760 --> 0:26:26.480
<v Speaker 8>One company that they're not talking to and you should

0:26:26.480 --> 0:26:29.720
<v Speaker 8>not expect to be integrated into Apple platforms is Meta

0:26:29.840 --> 0:26:33.879
<v Speaker 8>with Lama. That is something that is not happening. They

0:26:33.920 --> 0:26:37.879
<v Speaker 8>had a brief conversation around February March timeframe when we

0:26:37.960 --> 0:26:42.280
<v Speaker 8>reported on the Open AI and geminideal initially, but neither

0:26:42.359 --> 0:26:46.199
<v Speaker 8>party moved to any sort of discussions or advanced negotiations.

0:26:47.080 --> 0:26:49.760
<v Speaker 8>I would imagine there's going to be more providers down

0:26:49.800 --> 0:26:53.520
<v Speaker 8>the road. Apple hinted at wanting some sort of specialized

0:26:53.600 --> 0:26:56.359
<v Speaker 8>chatbots in there. For instance, maybe someone comes up with

0:26:56.400 --> 0:26:59.040
<v Speaker 8>a chatbot that's all about food recipes. Maybe someone comes

0:26:59.119 --> 0:27:02.160
<v Speaker 8>up with a chat pot that's all about medical terminology

0:27:02.200 --> 0:27:04.679
<v Speaker 8>and medical information. Perhaps a doctor would want to use

0:27:04.680 --> 0:27:07.760
<v Speaker 8>that during a doctor's visit. So there are many, many

0:27:07.840 --> 0:27:10.600
<v Speaker 8>opportunities for more chatbots to be integrated.

0:27:10.160 --> 0:27:10.920
<v Speaker 6>Into the OS.

0:27:11.280 --> 0:27:13.400
<v Speaker 8>It's just to be seen how the integration is done

0:27:13.480 --> 0:27:16.480
<v Speaker 8>and when it happens. I expect Google to be done

0:27:16.480 --> 0:27:17.119
<v Speaker 8>before the end of the.

0:27:17.160 --> 0:27:20.119
<v Speaker 2>Year an app store Forreyi chatbots.

0:27:20.320 --> 0:27:23.240
<v Speaker 3>Marco Hemman, we thank you so much on all things

0:27:23.320 --> 0:27:26.760
<v Speaker 3>open AI and Apple. Meanwhile, AI is everywhere we know,

0:27:26.840 --> 0:27:27.720
<v Speaker 3>and it's particularly in the.

0:27:27.640 --> 0:27:28.560
<v Speaker 2>World of bench capital.

0:27:28.800 --> 0:27:31.399
<v Speaker 3>It would seem that venture deal making coming back, and

0:27:31.440 --> 0:27:34.320
<v Speaker 3>it's all really thanks to artificial intelligence. Let's bring in

0:27:34.320 --> 0:27:37.760
<v Speaker 3>Blomberg's Katie Ruth, who's deep within the VC team nowadays.

0:27:37.800 --> 0:27:40.119
<v Speaker 2>And look, we're back.

0:27:39.880 --> 0:27:43.240
<v Speaker 3>When it comes to VC deal making, but it's very specific.

0:27:44.640 --> 0:27:47.080
<v Speaker 9>Right It's got to be AI or one of the

0:27:47.119 --> 0:27:50.160
<v Speaker 9>other hot categories like defense tech right now. Otherwise it's

0:27:50.320 --> 0:27:52.760
<v Speaker 9>really hard to raise money right now.

0:27:52.960 --> 0:27:54.600
<v Speaker 2>I mean, if you look at the data.

0:27:54.560 --> 0:27:57.560
<v Speaker 9>Yes, we're up from where we were two years ago.

0:27:57.800 --> 0:28:01.239
<v Speaker 9>But two years ago was practically done Bust two point zero,

0:28:01.320 --> 0:28:05.040
<v Speaker 9>So we're back from from dead. But you know, we're

0:28:05.040 --> 0:28:08.560
<v Speaker 9>not back to normal or the ideal that many vcs

0:28:08.600 --> 0:28:09.040
<v Speaker 9>are hoping.

0:28:09.560 --> 0:28:13.680
<v Speaker 3>Fifty five point six billion dollars was invested by US

0:28:13.880 --> 0:28:17.040
<v Speaker 3>vcs of about a half from a year earlier quarter,

0:28:17.119 --> 0:28:20.040
<v Speaker 3>we understand. So this is all coming from pitchbook. Is

0:28:20.119 --> 0:28:23.280
<v Speaker 3>this a global theme? Are we really thinking that? You know,

0:28:23.320 --> 0:28:27.000
<v Speaker 3>we just had arvind On from Glenova based in India.

0:28:27.080 --> 0:28:32.280
<v Speaker 3>Are we seeing VC US VC money back international AI stories.

0:28:33.520 --> 0:28:36.920
<v Speaker 9>Yeah, it's more or less the same theme throughout the world.

0:28:37.080 --> 0:28:42.600
<v Speaker 9>The VC ecosystems pretty interconnected. But yes, AI is exciting

0:28:42.680 --> 0:28:48.160
<v Speaker 9>investors throughout the world, particularly the leading AI companies are

0:28:48.160 --> 0:28:51.440
<v Speaker 9>getting lots of money, and that's partly worth skewing the data.

0:28:51.520 --> 0:28:55.880
<v Speaker 9>And also you have companies like Elon Musk's Xai that

0:28:56.000 --> 0:28:59.520
<v Speaker 9>raised six billion dollars, which you know accounts for a

0:28:59.560 --> 0:29:03.120
<v Speaker 9>size of percentage of that. And so it's really that

0:29:03.600 --> 0:29:06.520
<v Speaker 9>it's not that there are a large number of companies

0:29:06.640 --> 0:29:08.440
<v Speaker 9>that are raising money.

0:29:08.680 --> 0:29:09.960
<v Speaker 2>I think the data actually showed it.

0:29:10.000 --> 0:29:13.000
<v Speaker 9>Was the lowest number since the second quarter of twenty twenty.

0:29:13.720 --> 0:29:17.360
<v Speaker 9>But it's that it's concentrated in the heart companies that

0:29:17.480 --> 0:29:20.040
<v Speaker 9>are bessers are excited about Katie Ruff.

0:29:20.280 --> 0:29:22.520
<v Speaker 2>Great to have you on the VC beef with us,

0:29:22.600 --> 0:29:23.320
<v Speaker 2>Thank you very much.

0:29:23.320 --> 0:29:26.920
<v Speaker 3>Indeed, meanwhile, let's stick with venture Nick Stronski you know him,

0:29:26.960 --> 0:29:29.200
<v Speaker 3>of course for the last decade shaking up banking with

0:29:29.280 --> 0:29:32.200
<v Speaker 3>his financial services firm Revolute in the UK, while he's

0:29:32.200 --> 0:29:34.760
<v Speaker 3>now looking to pull off a similar fee in venture capital.

0:29:34.960 --> 0:29:37.560
<v Speaker 3>He's actually built a quantitive investment firm for early stage

0:29:37.600 --> 0:29:42.040
<v Speaker 3>companies called quantum Light. It relies on algorithms AI over

0:29:42.160 --> 0:29:45.040
<v Speaker 3>human input to source deeals and it's invested in almost

0:29:45.080 --> 0:29:47.680
<v Speaker 3>a dozen startups in the past year after raising about two.

0:29:47.680 --> 0:29:49.200
<v Speaker 2>Hundred million docs.

0:29:49.480 --> 0:29:51.479
<v Speaker 3>I mean, while coming up, we're going to be talking

0:29:51.520 --> 0:29:54.520
<v Speaker 3>big business and the adoption of AI. Paul Hudson's CEO

0:29:54.560 --> 0:29:56.640
<v Speaker 3>of son off E. It's going to be discussing how

0:29:56.680 --> 0:29:59.560
<v Speaker 3>he's integrating generative AI in the world of biofarmer.

0:30:00.080 --> 0:30:01.880
<v Speaker 2>That's next. This is blom Make Technology.

0:30:12.600 --> 0:30:14.600
<v Speaker 3>Look, we've got to talk about the impact of generator

0:30:14.680 --> 0:30:18.400
<v Speaker 3>AI in real life across industries, biofarmer being one of them.

0:30:18.640 --> 0:30:20.440
<v Speaker 3>And I'm priessed to welcome of the show. Paul Hudson,

0:30:20.560 --> 0:30:24.360
<v Speaker 3>CEO of Sanofi, discuss how your enormous French bio farmer

0:30:24.400 --> 0:30:28.200
<v Speaker 3>company has been leveraging the new technology in its operations.

0:30:28.520 --> 0:30:31.479
<v Speaker 3>And yes there's drug discovery, but also what's so interesting,

0:30:31.480 --> 0:30:34.200
<v Speaker 3>Paul is you're integrating it within the functionality of your

0:30:34.240 --> 0:30:36.160
<v Speaker 3>business on a day to day basis.

0:30:36.840 --> 0:30:39.080
<v Speaker 10>Yeah, thank you, and it's a pleasure to be here.

0:30:39.120 --> 0:30:41.440
<v Speaker 10>We're really trying to do incredible things for patients and

0:30:41.480 --> 0:30:44.680
<v Speaker 10>discovering new medicines. And you know, with AI being the

0:30:44.720 --> 0:30:48.080
<v Speaker 10>great disruptor and all of the excitement last year, the

0:30:48.160 --> 0:30:50.600
<v Speaker 10>wow of large anguish models, and this year for us,

0:30:50.640 --> 0:30:52.880
<v Speaker 10>it's all about the how and how we can get

0:30:52.880 --> 0:30:57.280
<v Speaker 10>our you know, the large amounts of our organization focused

0:30:57.680 --> 0:31:01.840
<v Speaker 10>whether you're in a lab doing experts, whether using generative

0:31:01.880 --> 0:31:06.360
<v Speaker 10>AI in regulatory or text driven parts of our business,

0:31:06.360 --> 0:31:10.320
<v Speaker 10>and importantly snackable AI when we're looking at really trying

0:31:10.360 --> 0:31:13.360
<v Speaker 10>to give better decision intelligence for almost everybody in the

0:31:13.480 --> 0:31:17.400
<v Speaker 10>organization with the sole intent of becoming much more efficient

0:31:17.440 --> 0:31:19.440
<v Speaker 10>effective in delivering HU meds. And it's amazing.

0:31:19.520 --> 0:31:22.440
<v Speaker 3>Really, I love this snackable AI you're using play it's

0:31:22.440 --> 0:31:24.800
<v Speaker 3>a proprietary app. But I've got to ask sort of,

0:31:25.080 --> 0:31:28.200
<v Speaker 3>how have you thought about which underlying large language model you.

0:31:28.160 --> 0:31:28.760
<v Speaker 2>Should look to.

0:31:29.000 --> 0:31:31.880
<v Speaker 3>How you integrate this do you go to outsourced, do

0:31:31.880 --> 0:31:32.840
<v Speaker 3>you build it from within?

0:31:32.920 --> 0:31:33.160
<v Speaker 2>Point?

0:31:34.240 --> 0:31:38.040
<v Speaker 10>Well, look, we're drug discoverers and developers. We're not coders

0:31:38.120 --> 0:31:41.200
<v Speaker 10>at our heart. So we have this first of its

0:31:41.320 --> 0:31:44.959
<v Speaker 10>kind relationship now with open Ai, a partnership with Formation

0:31:45.120 --> 0:31:47.920
<v Speaker 10>Bio translating that for is to make sure that we

0:31:48.040 --> 0:31:52.040
<v Speaker 10>can be customizing large language models to look at drug discovery,

0:31:52.400 --> 0:31:56.400
<v Speaker 10>to try and drug undruggable diseases. To this point, and

0:31:56.440 --> 0:31:59.240
<v Speaker 10>we're doing things that have really never been done before.

0:31:59.280 --> 0:32:03.080
<v Speaker 10>It's early days, but it's extremely promising. And remember there's

0:32:03.120 --> 0:32:05.920
<v Speaker 10>such a large amount of diseases that don't have medicines

0:32:05.920 --> 0:32:08.200
<v Speaker 10>available for them because we simply have not had the

0:32:08.200 --> 0:32:12.480
<v Speaker 10>computing pair of the opportunity to deploy ourselves. And now

0:32:12.560 --> 0:32:15.960
<v Speaker 10>just now we're at this next great revolution in science.

0:32:16.040 --> 0:32:18.440
<v Speaker 10>It's such a privilege actually to lead a company at

0:32:18.440 --> 0:32:23.040
<v Speaker 10>this point. As for play, our sort of snackable approach,

0:32:23.560 --> 0:32:27.520
<v Speaker 10>we've partnered with a small startup out of Germany, a ley.

0:32:27.880 --> 0:32:30.720
<v Speaker 10>They've been working weathers, they've grown weathers, and that's by

0:32:30.760 --> 0:32:33.160
<v Speaker 10>the way, open for everybody. We don't own it, we

0:32:33.320 --> 0:32:35.080
<v Speaker 10>have it to share it. We want all boats to

0:32:35.200 --> 0:32:38.360
<v Speaker 10>rise win healthcare after all, and so the more users,

0:32:38.400 --> 0:32:40.840
<v Speaker 10>the more fun, the more accuracy, the more chance to

0:32:40.880 --> 0:32:41.920
<v Speaker 10>discovering new medicines.

0:32:42.000 --> 0:32:44.880
<v Speaker 3>So have your talent reacted because there's so much do

0:32:45.120 --> 0:32:47.280
<v Speaker 3>mongering that AI is going to take all our jobs.

0:32:49.040 --> 0:32:51.400
<v Speaker 10>Well, I think our approach has been how to weaponize

0:32:51.440 --> 0:32:53.680
<v Speaker 10>our people to do better. Like you know, I don't

0:32:53.680 --> 0:32:56.160
<v Speaker 10>know whether you're familiar with Ways, the driving app, but

0:32:56.240 --> 0:32:58.200
<v Speaker 10>I see it very much like that. I got to

0:32:58.200 --> 0:32:59.960
<v Speaker 10>get in the car, I'm going to start the end

0:33:00.120 --> 0:33:01.760
<v Speaker 10>and drive to the end of the street. And if

0:33:01.760 --> 0:33:05.040
<v Speaker 10>Ways says I'm statistically more likely to have an easier

0:33:05.080 --> 0:33:08.480
<v Speaker 10>journey turning left rather than turning right, I want that

0:33:08.560 --> 0:33:12.080
<v Speaker 10>advice as crowdsource large data, real time. I want our

0:33:12.120 --> 0:33:15.640
<v Speaker 10>people to feel they are amplified or multiplied in that event.

0:33:16.120 --> 0:33:19.680
<v Speaker 10>In that event too. The goal is not about less people.

0:33:19.720 --> 0:33:22.600
<v Speaker 10>The goal is about putting our people to be more

0:33:22.640 --> 0:33:26.240
<v Speaker 10>effective and to make and to have better decision intelligence

0:33:26.280 --> 0:33:30.160
<v Speaker 10>than itself gives us a great opportunity to do something incredible,

0:33:30.200 --> 0:33:34.280
<v Speaker 10>and we've only seen a huge Appetite's why on any

0:33:34.280 --> 0:33:38.640
<v Speaker 10>given day we have eighteen thousand people in our organization

0:33:38.920 --> 0:33:41.080
<v Speaker 10>using the EI we make available, and I think that's

0:33:41.080 --> 0:33:41.960
<v Speaker 10>pretty fantastic.

0:33:42.400 --> 0:33:45.680
<v Speaker 3>Let's talk about doing the amazing, the incredible, because we

0:33:45.760 --> 0:33:48.280
<v Speaker 3>have just seen a push up in your share price

0:33:48.320 --> 0:33:51.240
<v Speaker 3>on the day. And you've been reorientating this business of

0:33:51.280 --> 0:33:54.280
<v Speaker 3>Sonofye and thinking about more R and D, about drug

0:33:54.280 --> 0:33:57.960
<v Speaker 3>discovery and applicate and look some costly cases in the

0:33:58.000 --> 0:34:00.360
<v Speaker 3>way that you have to experiment in clinical t but

0:34:00.360 --> 0:34:02.400
<v Speaker 3>they've paid off today and we think about the drug

0:34:02.400 --> 0:34:06.000
<v Speaker 3>discovery when it comes to a key lung chronic long disorder.

0:34:06.040 --> 0:34:07.320
<v Speaker 2>Can you just tell us about what that means to

0:34:07.320 --> 0:34:07.760
<v Speaker 2>the business.

0:34:08.520 --> 0:34:12.200
<v Speaker 10>Well, in Europe, just yesterday today we got approval for

0:34:12.360 --> 0:34:15.799
<v Speaker 10>chronic constructive coon me disease COPD ficks a huge number

0:34:15.840 --> 0:34:18.680
<v Speaker 10>of people, third biggest killer. We're ready to go now

0:34:18.680 --> 0:34:21.360
<v Speaker 10>in Europe to be able to provide an advanced therapy

0:34:21.400 --> 0:34:23.440
<v Speaker 10>that will reduce their chance to go to hospital by

0:34:23.680 --> 0:34:26.279
<v Speaker 10>a third, and that's a breakthrough when there's been so

0:34:26.320 --> 0:34:30.000
<v Speaker 10>little innovation. We aspire to be the world's leading immnology company,

0:34:30.040 --> 0:34:33.520
<v Speaker 10>and that's partly driven by moments like that that we

0:34:33.560 --> 0:34:36.880
<v Speaker 10>live for in our industry to do things that transform

0:34:36.960 --> 0:34:40.840
<v Speaker 10>or protect patients' lives, will prevent disease. You know, the

0:34:40.880 --> 0:34:45.160
<v Speaker 10>reality is we're a very proud, huge, big company, but

0:34:45.640 --> 0:34:48.200
<v Speaker 10>we wanted to be at the forefront of science again,

0:34:48.239 --> 0:34:51.120
<v Speaker 10>and we've made some big bets, but appropriately so to

0:34:51.200 --> 0:34:53.440
<v Speaker 10>try and make sure our science is some of the

0:34:53.560 --> 0:34:56.840
<v Speaker 10>most exciting and it's first in class or best in class.

0:34:56.840 --> 0:34:59.480
<v Speaker 10>And to couple it with our conversation of earlier. The

0:34:59.520 --> 0:35:02.960
<v Speaker 10>more we add AI, the more we improve our decision intelligence,

0:35:03.360 --> 0:35:05.920
<v Speaker 10>the more opportunity we have to do more.

0:35:05.760 --> 0:35:06.440
<v Speaker 2>In that space.

0:35:06.480 --> 0:35:09.759
<v Speaker 10>And I think that's what's catching the excitement in our organization,

0:35:09.880 --> 0:35:12.920
<v Speaker 10>and we believe we're quite far ahead. I mean, of

0:35:12.920 --> 0:35:16.239
<v Speaker 10>course we're very responsible about how we use AI, but

0:35:16.560 --> 0:35:19.759
<v Speaker 10>others are still hesitating. We're taking our moment, but.

0:35:19.760 --> 0:35:22.600
<v Speaker 3>Sometimes you need good data to feed in to these

0:35:22.680 --> 0:35:25.680
<v Speaker 3>large language models. Paul, what about the data on viruses

0:35:25.680 --> 0:35:27.920
<v Speaker 3>such as well bird flu at the moment here in

0:35:27.920 --> 0:35:30.759
<v Speaker 3>the UK and the US. Indeed, Look, there is a

0:35:30.800 --> 0:35:32.680
<v Speaker 3>worry that the data hasn't been good enough in the

0:35:32.719 --> 0:35:34.840
<v Speaker 3>United States. Is that something that worries you and you

0:35:34.920 --> 0:35:36.640
<v Speaker 3>need to be developing a new vaccine for that.

0:35:37.800 --> 0:35:40.279
<v Speaker 10>Look, I mean, we've been through one pandemic. I think

0:35:40.320 --> 0:35:42.239
<v Speaker 10>we've learned a great deal about trying to have the

0:35:42.239 --> 0:35:45.200
<v Speaker 10>best data, and I think we position ourselves to take

0:35:45.239 --> 0:35:48.120
<v Speaker 10>advantage of those opportunities on behalf of society. Frankly, we

0:35:48.200 --> 0:35:51.680
<v Speaker 10>played a part small part in COVID, but we stand

0:35:51.719 --> 0:35:54.719
<v Speaker 10>ready should we be asked the data and it's legitimacy,

0:35:54.800 --> 0:35:57.560
<v Speaker 10>you know. We often that data comes in through government channels,

0:35:57.560 --> 0:36:00.239
<v Speaker 10>through health systems, you know, and we work at real

0:36:00.480 --> 0:36:03.680
<v Speaker 10>time speed to make sure that we have the very

0:36:03.760 --> 0:36:07.279
<v Speaker 10>best data available in terms of large language models and

0:36:07.480 --> 0:36:10.840
<v Speaker 10>the rest of the data sets. You know, we collaborate

0:36:10.960 --> 0:36:13.560
<v Speaker 10>far and wide. We have punishes with oak in with

0:36:13.719 --> 0:36:17.680
<v Speaker 10>atom wise, with excyensia. We really are trying to make

0:36:17.719 --> 0:36:21.240
<v Speaker 10>sure that we have at our fingertips huge data sets

0:36:21.280 --> 0:36:24.680
<v Speaker 10>to mean our accuracy and our predictive capability is far

0:36:24.760 --> 0:36:27.400
<v Speaker 10>ahead of the competition. We won't get it right everywhere,

0:36:27.719 --> 0:36:32.160
<v Speaker 10>but the data integrity of the absolute fundamental start in place.

0:36:32.400 --> 0:36:35.480
<v Speaker 10>Our relationship with open AI and with formation by it,

0:36:35.520 --> 0:36:38.640
<v Speaker 10>we're putting our own data at play to make sure

0:36:39.000 --> 0:36:41.520
<v Speaker 10>that they can learn from it too. Again, all boats

0:36:41.520 --> 0:36:43.080
<v Speaker 10>your rights. We're in healthcare to do good.

0:36:43.719 --> 0:36:46.160
<v Speaker 3>You're also selling off bits of healthcare because you're focusing

0:36:46.200 --> 0:36:48.000
<v Speaker 3>in on the R and D, the drug side, and

0:36:48.040 --> 0:36:51.160
<v Speaker 3>maybe the consumer business goes for a hefty price tag.

0:36:51.239 --> 0:36:54.080
<v Speaker 3>You've been thinking about IPO and you've been thinking about sale.

0:36:54.520 --> 0:36:55.839
<v Speaker 2>How is that process going poor?

0:36:56.719 --> 0:36:58.840
<v Speaker 10>Well, we announced that October that we were going to

0:36:58.840 --> 0:37:00.879
<v Speaker 10>become a pure play by Farmer. You know, we want

0:37:00.880 --> 0:37:02.880
<v Speaker 10>to double down on the things we just talked about,

0:37:02.880 --> 0:37:08.240
<v Speaker 10>and we have an incredibly successful and energized consumer business.

0:37:08.920 --> 0:37:11.359
<v Speaker 10>We feel that they feel, in fact, that they can

0:37:11.360 --> 0:37:13.560
<v Speaker 10>stand better on their own two feet and be independent,

0:37:13.640 --> 0:37:16.239
<v Speaker 10>raise their own capital, take on their own projects, and

0:37:16.520 --> 0:37:18.439
<v Speaker 10>we want to support them in that. It's the right

0:37:18.480 --> 0:37:21.960
<v Speaker 10>thing to do. Our capitals should be allocated towards discovering

0:37:21.960 --> 0:37:24.760
<v Speaker 10>new medicines, and there should be about growing their business

0:37:24.760 --> 0:37:26.920
<v Speaker 10>fast in the market, which by the way, they're doing

0:37:27.040 --> 0:37:30.279
<v Speaker 10>very successfully. We've declared that buy as early as Q

0:37:30.360 --> 0:37:33.960
<v Speaker 10>four twenty four will be ready to go to separate

0:37:34.000 --> 0:37:36.719
<v Speaker 10>that business. We haven't shared how we will do it,

0:37:36.760 --> 0:37:39.680
<v Speaker 10>but I think it's quite well known that, you know,

0:37:39.760 --> 0:37:43.680
<v Speaker 10>we're talking to interesting parties, certainly Pe, and we have

0:37:43.760 --> 0:37:48.239
<v Speaker 10>the capital markets vehicles available to us too. So no,

0:37:48.400 --> 0:37:51.600
<v Speaker 10>we're excited for them. There's a huge amount of interest.

0:37:51.680 --> 0:37:54.520
<v Speaker 10>It's a great business and we hope to create value

0:37:54.560 --> 0:37:57.480
<v Speaker 10>for patients, for stakeholders, and indeed for the people in

0:37:57.480 --> 0:37:57.960
<v Speaker 10>the business.

0:37:58.239 --> 0:38:03.279
<v Speaker 3>Q four twenty four is pretty notable given that we're

0:38:03.320 --> 0:38:06.680
<v Speaker 3>in quite a politically uncertain time. Look, we two bricks

0:38:06.719 --> 0:38:08.520
<v Speaker 3>sit here looking that there's going to be an election

0:38:08.880 --> 0:38:11.440
<v Speaker 3>and people voting in the UK tomorrow and then of

0:38:11.480 --> 0:38:14.239
<v Speaker 3>course this weekend is all important for France. How as

0:38:14.280 --> 0:38:16.520
<v Speaker 3>a leader of such a French giant, are you feeling

0:38:16.600 --> 0:38:19.440
<v Speaker 3>about the political risk of doing a deal in this market?

0:38:21.080 --> 0:38:23.839
<v Speaker 10>Well, look, you know, in terms of healthcare and being

0:38:23.840 --> 0:38:26.680
<v Speaker 10>a leader of ann incredibly important French company, you know,

0:38:26.719 --> 0:38:30.040
<v Speaker 10>our first priority is to ensure that whoever governs, they

0:38:30.080 --> 0:38:33.600
<v Speaker 10>provide a predictable, stable environment because research is a ten

0:38:33.600 --> 0:38:37.040
<v Speaker 10>to fifteen year process, so you know, we need to

0:38:37.080 --> 0:38:39.560
<v Speaker 10>think long term. We hope that whoever leads the country

0:38:39.800 --> 0:38:42.120
<v Speaker 10>will think long term. We know the current government has

0:38:42.120 --> 0:38:45.680
<v Speaker 10>been incredibly supportive of innovation and creating that ecosystem. We

0:38:45.760 --> 0:38:49.279
<v Speaker 10>hope that that would continue. Of course, you know, there

0:38:49.320 --> 0:38:52.680
<v Speaker 10>are people trying to understand what it means for the economy,

0:38:52.800 --> 0:38:55.520
<v Speaker 10>much like for the change in government. If it's to

0:38:55.600 --> 0:38:59.160
<v Speaker 10>come about in the UK, and people want that predictability

0:38:59.200 --> 0:39:02.160
<v Speaker 10>in the markets too, you know, we'll long term player

0:39:02.280 --> 0:39:04.279
<v Speaker 10>trying to do the right things for patients, trying to

0:39:04.320 --> 0:39:07.480
<v Speaker 10>drug the undruggable, and we hope to partner with whoever's

0:39:07.520 --> 0:39:10.360
<v Speaker 10>in power, of course, because we have to be ready

0:39:10.400 --> 0:39:13.120
<v Speaker 10>to do our part for society, and you know, so

0:39:13.320 --> 0:39:15.640
<v Speaker 10>far we believe that can continue.

0:39:15.960 --> 0:39:19.120
<v Speaker 3>Paul, it's been great talking to you the intersection of

0:39:19.200 --> 0:39:22.920
<v Speaker 3>drug discovery of artificial intelligence snackable AI as you call it,

0:39:22.960 --> 0:39:25.640
<v Speaker 3>Paul Hudson, great to have some time, CEO A Sanofie.

0:39:33.320 --> 0:39:36.160
<v Speaker 3>Can you believe it? Today marks one year of the

0:39:36.200 --> 0:39:38.920
<v Speaker 3>existence and metas Threads up in a bid of course

0:39:38.960 --> 0:39:40.759
<v Speaker 3>at the time to capitalize on the struggles of Elon

0:39:40.840 --> 0:39:43.560
<v Speaker 3>Musk's platform X number those cage fights and the talk

0:39:43.600 --> 0:39:46.600
<v Speaker 3>of that when one year in, Threads may soon compete

0:39:46.600 --> 0:39:48.839
<v Speaker 3>with X actually for advertising dollars as well.

0:39:49.040 --> 0:39:50.719
<v Speaker 2>Let's discuss all of this in Bloomberg's Kurt.

0:39:50.640 --> 0:39:53.080
<v Speaker 3>Wagner and what what was notable about Threads is there

0:39:53.120 --> 0:39:55.040
<v Speaker 3>wasn't advertising and there still isn't.

0:39:55.200 --> 0:39:59.080
<v Speaker 2>But will there be? Will that tap be turned on soon? Yeah,

0:39:59.120 --> 0:39:59.680
<v Speaker 2>that's the plan.

0:40:00.120 --> 0:40:04.040
<v Speaker 11>Conversation with Adam Assari who runs Instagram Instagram overseas Threads

0:40:04.520 --> 0:40:06.080
<v Speaker 11>and you know he said they want to do ads

0:40:06.120 --> 0:40:08.680
<v Speaker 11>sooner rather than later, right, And that's a big deal.

0:40:09.160 --> 0:40:12.319
<v Speaker 11>If you are X because Meta's ad system is just

0:40:12.360 --> 0:40:15.280
<v Speaker 11>so much more advanced. Advertisers are already used to spending

0:40:15.320 --> 0:40:18.920
<v Speaker 11>on Facebook and reels and Instagram, and if you add

0:40:19.120 --> 0:40:21.399
<v Speaker 11>you know, Threads into the mix, I really do think

0:40:21.440 --> 0:40:23.759
<v Speaker 11>that could be the kind of thing that takes you know,

0:40:24.040 --> 0:40:26.239
<v Speaker 11>money away from X, which is already struggling as you

0:40:26.280 --> 0:40:27.239
<v Speaker 11>know what is.

0:40:27.360 --> 0:40:30.600
<v Speaker 3>Adam and the team at Meta really sort of admitted

0:40:30.640 --> 0:40:33.000
<v Speaker 3>to and learned because it was a fascinating launch.

0:40:33.360 --> 0:40:34.359
<v Speaker 2>Threads sort of was.

0:40:34.320 --> 0:40:37.160
<v Speaker 3>Almost iterated on and built while we all played with it.

0:40:37.520 --> 0:40:40.480
<v Speaker 2>There was talk of decentralization. What has actually occurred with

0:40:40.480 --> 0:40:40.960
<v Speaker 2>the product?

0:40:42.400 --> 0:40:44.120
<v Speaker 11>Yeah, I mean they have moved quickly. There are there

0:40:44.120 --> 0:40:46.200
<v Speaker 11>are some good things that they've done in the first year.

0:40:46.760 --> 0:40:49.799
<v Speaker 11>You know, they did launch an API. Recently they've sort

0:40:49.840 --> 0:40:51.760
<v Speaker 11>of came out with this like tweet deck like feature

0:40:51.800 --> 0:40:54.879
<v Speaker 11>so that you could have multiple columns of you know,

0:40:55.080 --> 0:40:57.399
<v Speaker 11>feeds at one time. But where I think they really

0:40:57.400 --> 0:40:59.640
<v Speaker 11>struggled is to figure out, like what is the point

0:40:59.640 --> 0:41:00.960
<v Speaker 11>of threat? What's the purpose?

0:41:01.080 --> 0:41:01.239
<v Speaker 4>Right?

0:41:01.280 --> 0:41:03.760
<v Speaker 11>I think Twitter, before Elon got there, we knew.

0:41:03.640 --> 0:41:04.000
<v Speaker 5>What it was.

0:41:04.040 --> 0:41:05.920
<v Speaker 11>It was the place you went for breaking news, and

0:41:05.960 --> 0:41:08.880
<v Speaker 11>that was the specialty. I don't think Threads has a

0:41:08.880 --> 0:41:11.480
<v Speaker 11>specialty right now, and it's kind of been reluctant to

0:41:11.520 --> 0:41:13.759
<v Speaker 11>lean into breaking news in the way Twitter did, And

0:41:13.800 --> 0:41:16.359
<v Speaker 11>so I worry for them. If they're not great at

0:41:16.360 --> 0:41:17.680
<v Speaker 11>one thing, what do they.

0:41:17.520 --> 0:41:21.319
<v Speaker 3>Become And to that point will that put off advertising

0:41:21.400 --> 0:41:24.400
<v Speaker 3>or was there a threshold that Adam felt had been

0:41:24.480 --> 0:41:26.440
<v Speaker 3>hit that then meant okay, we're good to go.

0:41:26.520 --> 0:41:28.200
<v Speaker 2>We can lean into turning on the money now.

0:41:29.520 --> 0:41:29.640
<v Speaker 10>Well.

0:41:29.680 --> 0:41:31.920
<v Speaker 11>I think the benefit they have on the advertising the

0:41:31.920 --> 0:41:34.560
<v Speaker 11>front is that people are familiar with their ads systems, right,

0:41:34.600 --> 0:41:36.239
<v Speaker 11>so you could go and you could put money in,

0:41:36.440 --> 0:41:38.000
<v Speaker 11>and you could just take a little sliver of that

0:41:38.080 --> 0:41:40.440
<v Speaker 11>money and say, hey, send this over to Threads, right like,

0:41:40.480 --> 0:41:42.480
<v Speaker 11>you don't have to if you're an advertiser learn something

0:41:42.520 --> 0:41:45.160
<v Speaker 11>brand new, which I think is a huge advantage for them.

0:41:45.480 --> 0:41:47.799
<v Speaker 11>You know, it'll determine It'll be interesting to see if

0:41:47.800 --> 0:41:51.600
<v Speaker 11>advertisers think Threads is relevant enough for their ad dollars.

0:41:51.640 --> 0:41:54.000
<v Speaker 11>But for now, I think it's a very interesting thing

0:41:54.040 --> 0:41:56.600
<v Speaker 11>that people will eventually want to test out when they

0:41:56.880 --> 0:41:58.239
<v Speaker 11>do choose to turn the ads on.

0:41:58.560 --> 0:42:00.760
<v Speaker 2>It's meant to be a nicer pace place to play.

0:42:00.800 --> 0:42:01.840
<v Speaker 2>And I know Kurt Wagner.

0:42:01.880 --> 0:42:04.680
<v Speaker 3>You're out there on threads putting out some posts, so

0:42:04.840 --> 0:42:06.600
<v Speaker 3>go check them out there. We love you for your work,

0:42:06.640 --> 0:42:08.400
<v Speaker 3>Thank you for coming on. Meanwhile, that does it for

0:42:08.440 --> 0:42:10.759
<v Speaker 3>this edition of Bloomberg Technology. Do not forget to check

0:42:10.760 --> 0:42:13.160
<v Speaker 3>out on podcast Provide Not on the terminal, as well

0:42:13.160 --> 0:42:16.120
<v Speaker 3>as online on Apple, Spotify, and iHeart. Meanwhile, we wish

0:42:16.160 --> 0:42:19.640
<v Speaker 3>you are very happy July fourth tomorrow, but tune in

0:42:19.640 --> 0:42:20.360
<v Speaker 3>if you want to catch me.

0:42:20.400 --> 0:42:26.520
<v Speaker 2>I'm still on. This is Bloomberg Technology.