WEBVTT - Musk's Pay Package and ASML Orders Miss

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<v Speaker 1>From Mahard of Where Innovation, Money and Power.

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<v Speaker 2>Collie in Silicon Vallet NBN. This is Bloomberg Technology with

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<v Speaker 2>Caroline Hyde and Ed Love Love.

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<v Speaker 3>I'm Caroline Hyde at Bloomberg's world headquarters in New York.

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<v Speaker 4>And I'm Ed Lovedlow in San Francisco. This is Bloomberg

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<v Speaker 4>Technology coming up.

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<v Speaker 3>Tesla asked its investors to approve Musk's fifty six billion

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<v Speaker 3>dollar pay package. Again, we discussed the vote on moving

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<v Speaker 3>to Texas and its criticism of the Delaware court that

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<v Speaker 3>voided Musk's twenty eighteen award.

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<v Speaker 4>Chip making equipment orders dive at ASML as Europe's most

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<v Speaker 4>valuable company faces a pullback from its Taiwanese and South

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<v Speaker 4>Korean customers.

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<v Speaker 5>Are chip stockpiles back.

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<v Speaker 3>And meanwhile we bring you a key conversation with the

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<v Speaker 3>CEO of debt laden Autos as the French IT company

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<v Speaker 3>seeks to save itself. That and so much more coming

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<v Speaker 3>up throughout this hour. But let's get your cook check

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<v Speaker 3>on these markets. And I want to shine a light

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<v Speaker 3>and what's happening ultimately an the equity market, which pulls

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<v Speaker 3>back a little bit from where it had been. We're

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<v Speaker 3>seeing a little bit of caution, of course, as we

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<v Speaker 3>digest a more hawkish federal reserve, as we think about

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<v Speaker 3>where JA power is really steering us in terms of

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<v Speaker 3>number of cuts ubs, thinking it'll be two for this

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<v Speaker 3>year starting in maybe September.

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<v Speaker 6>Nevertheless, we're seeing.

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<v Speaker 3>Actually bob markets continuing to outperform, and not as much

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<v Speaker 3>as they were earlier. Red currently seeing a twenty year

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<v Speaker 3>yield just down by about two three basis points to

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<v Speaker 3>remember big auction coming ahead of that all important Beige

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<v Speaker 3>Book as well, and moment we're moving on and have

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<v Speaker 3>a look at what's happening in the world of crypto,

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<v Speaker 3>because Bitcoin has actually been well on the downside, even

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<v Speaker 3>as the US dollar is for once falling now after

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<v Speaker 3>six this is the first time in six days we've

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<v Speaker 3>actually seen the US dollar give up some of its

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<v Speaker 3>strength as we maybe just digest what has been, of

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<v Speaker 3>course an apparent slightly more hawkish shift, where we're looking

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<v Speaker 3>at a bitcoin currently off by two and a half

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<v Speaker 3>percent riskasset's still cautious out there are but what are

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<v Speaker 3>you watching?

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<v Speaker 4>On the micro Tesla continues to dominate headlines and market moves.

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<v Speaker 4>We're down for a four straight session, that's the worst

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<v Speaker 4>run of declines since the beginning of this year, and

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<v Speaker 4>the stock is trading at its lowest level in almost

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<v Speaker 4>a year. And I don't think this is to do

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<v Speaker 4>with the two red headlines on the Bloomberg tumil. I

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<v Speaker 4>think the proxy revealing that investors will vote on that

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<v Speaker 4>original twenty eighteen pay package rejected by a court, and

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<v Speaker 4>the idea of incorporating in Texas. I don't think that's

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<v Speaker 4>the downward pressure. There's indigestion from the events of the

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<v Speaker 4>last four days, executive departures, layoffs, and Elon's comment about

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<v Speaker 4>going all in on ROBOTAXI, and I think a lot

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<v Speaker 4>of people are trying to understand what's happening, what is

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<v Speaker 4>the big picture and when does it happen. But the

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<v Speaker 4>stock's under a lot of pressure, while the talk from

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<v Speaker 4>Elon Musk on his own platform X is fighting talk.

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<v Speaker 5>And I think we've got some pretty good guests to

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<v Speaker 5>go through that with.

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<v Speaker 3>Yeah, let's talk about the fighting talk, let's talk about

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<v Speaker 3>the reaction throughout. Let's start the Bloomberg's Crow Todell, And

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<v Speaker 3>what's so interesting is ultimately coming out fighting to Delaware,

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<v Speaker 3>to the court, to the judge that said initially, this

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<v Speaker 3>twenty eighteen pay package is far too much and new

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<v Speaker 3>board are not doing enough to push back. But I'm

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<v Speaker 3>interested ased why the argument goes that it would cost

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<v Speaker 3>billions more to renegotiate a pay package rather than just

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<v Speaker 3>try and vote through the current one.

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<v Speaker 7>Yeah, I do think it's interesting that the board sort

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<v Speaker 7>of you know, portrayed this as a nuisance, really this

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<v Speaker 7>idea that they would have to take on additional expense

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<v Speaker 7>that you know, the company accounted for having to set

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<v Speaker 7>up these options and set aside this this compensation for

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<v Speaker 7>musk and essentially would have to sort of, you know,

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<v Speaker 7>do it over again. It does also strike me just

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<v Speaker 7>from the language that was used in the filing that

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<v Speaker 7>it was sort of musky in and that Robin Denholm,

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<v Speaker 7>the chair of the company, you know, referred to this

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<v Speaker 7>idea of essentially that the court had taken away shareholder

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<v Speaker 7>or voice. It was kind of a freedom of speech

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<v Speaker 7>esque defense of this pay package. But of course, you know,

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<v Speaker 7>share you know, corporate governance critics are not going to

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<v Speaker 7>look on this very family, this idea of you know,

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<v Speaker 7>this this award being slapped down and the board just

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<v Speaker 7>going back to the world with the same plan.

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<v Speaker 4>Craig, you've been reading the proxy for the last four

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<v Speaker 4>hours and thirty minutes.

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<v Speaker 5>I know you have been at your desk doing that.

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<v Speaker 4>There's some granular detail in it that Tesla explains a

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<v Speaker 4>randy compensation program and the idea of reincorporating in Texas

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<v Speaker 4>in parallel, and my read on it is that they

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<v Speaker 4>basically don't want to be accused of using the Texas

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<v Speaker 4>incorporation as leverage in this ongoing pay issue.

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<v Speaker 7>Yeah, they want to kind of pair these two basically

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<v Speaker 7>get the shareholders backing again. You know, I guess make

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<v Speaker 7>the case really that shareholders, if they didn't already know

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<v Speaker 7>what went into this award, the Delaware court just you know,

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<v Speaker 7>brought to light a lot of these details, made clear

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<v Speaker 7>what was going on here and really sort of put

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<v Speaker 7>it back in the court of the shareholders and say

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<v Speaker 7>are you okay with this or aren't you? And of

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<v Speaker 7>course you know, we have you know, heard rumblings reported

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<v Speaker 7>on this idea that retail shareholders were really sort of

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<v Speaker 7>an uproar, you know, based on just at least the

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<v Speaker 7>volume of complaints about the way this was handled. Also

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<v Speaker 7>Tesla saying in the proxy that four of its ten

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<v Speaker 7>biggest institutional investors wrote to the company or you know,

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<v Speaker 7>somehow communicated that they were in support of this award.

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<v Speaker 7>So there is some reason to think that perhaps this

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<v Speaker 7>stands a chance of being approved, just as it was back.

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<v Speaker 4>In twenty eighteen, it was a load of dents texts

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<v Speaker 4>to go through testas down a percentage point. That way

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<v Speaker 4>of sessions in moos created ow great work, Thank you

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<v Speaker 4>very much. Just keep a conversation going with Pierre Faragu,

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<v Speaker 4>who's head of Tech Infrastructure research at New Street Research.

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<v Speaker 4>Just give me one sentence, what is the story of

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<v Speaker 4>Tesla right now? Just one sentence.

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<v Speaker 8>I'm not very good at doing one sentence, you know that.

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<v Speaker 9>So the one sentence would be Testa is a car

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<v Speaker 9>manufacturer first and for the seable future, they need to

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<v Speaker 9>continue to be successful at manufacturing cars, and that's a

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<v Speaker 9>platform for them to do additional amazing things.

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<v Speaker 8>You have a donomous driving.

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<v Speaker 9>They are the most advanced player in the world on

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<v Speaker 9>supervised autonomous driving, so your car driving by itself under

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<v Speaker 9>your supervision. They're making exceptional progress. There is a very

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<v Speaker 9>long term, like over the horizon goal host of being

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<v Speaker 9>able to do Robert. It's a much more still challenging

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<v Speaker 9>thing to get to very uncertain so and there's also

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<v Speaker 9>the opportunity to develop human and humanoid robots on the

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<v Speaker 9>same technology platform as FIG And these things will take

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<v Speaker 9>us whichever way you look at it.

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<v Speaker 8>And we know Elon Musk is very impatient, wants to

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<v Speaker 8>accelerate that momentum, but it's going to take us.

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<v Speaker 9>And in the meantime, we also need Tesla to see

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<v Speaker 9>that Tesla is still going to be a very successful

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<v Speaker 9>g manufacturers being able over time to stabilize pricing, to

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<v Speaker 9>continue to gain share with the product they have in

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<v Speaker 9>the market today, and then in the next two three

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<v Speaker 9>years to be able to ramp a large volume, lower

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<v Speaker 9>price platform to continue to grow sustainably, and all that

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<v Speaker 9>should deliver revenue growth and margin expansion.

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<v Speaker 8>And that's really like the near term and the longer

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<v Speaker 8>term is yes. But and robotaxes.

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<v Speaker 4>It was a loaded question, but you did give me

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<v Speaker 4>one sentence just without full stops of punctuation.

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<v Speaker 5>That's okay.

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<v Speaker 4>The reason I ask it is I'm trying to understand

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<v Speaker 4>in the moment the downward pressure on the stock, and

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<v Speaker 4>I don't think it's got much to do with the

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<v Speaker 4>proxy So of all the headlines of the last four days,

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<v Speaker 4>which was of most interest to ups.

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<v Speaker 9>Of the last few days, the most important headlines have heard, well,

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<v Speaker 9>you know, the most important thing of the last few

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<v Speaker 9>days was actually to digest swear the headlines of last week.

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<v Speaker 8>And so we've heard, like, we've read a rota's report

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<v Speaker 8>mode to.

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<v Speaker 9>Being canceled and things like that, and we've had like

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<v Speaker 9>you know, ins and indications from Milan Musk and from

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<v Speaker 9>this last chief designer that the modity is probably not cancered.

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<v Speaker 9>And so the most important breakthrough earlier this week was

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<v Speaker 9>the understanding that probably what's happening to that Tesla is

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<v Speaker 9>that Tesla is going to prioritize designing developing the robot

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<v Speaker 9>taxi in Austin for now, because anyway, the model too

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<v Speaker 9>will need to wait for Mexico to ramp in millions

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<v Speaker 9>of units, and Mexico is still two three years away,

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<v Speaker 9>and so in the meantime, producing only a quarter of

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<v Speaker 9>a million Model twos in Austin doesn't really help.

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<v Speaker 8>It's it's like a very very little help.

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<v Speaker 9>And so my educated guess is that Elan understood that

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<v Speaker 9>and thought, okay, let's go all in on robot taxi.

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<v Speaker 9>Let's get a platform out, let's have a small flet

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<v Speaker 9>on which we can try out tests, improve the technology,

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<v Speaker 9>and then let's get back to the model too a

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<v Speaker 9>bit later. So hopefully next week when the company reports,

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<v Speaker 9>we get a bit more lightly on that. So that's

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<v Speaker 9>really the big thing of the last forty eight.

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<v Speaker 3>I like the fact that you give us your reasoning,

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<v Speaker 3>you interpretation, pr give us your reasoning on whether the

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<v Speaker 3>stock should be down by a third so far this year.

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<v Speaker 9>Yes, so if you look at the potential of the

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<v Speaker 9>company in the long run, that's a nonsense.

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<v Speaker 8>Tesla makes electric cards.

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<v Speaker 9>Electric cars remain I think the future of cards and

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<v Speaker 9>nobody on us can make electric cars as good as

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<v Speaker 9>Tesla and as cost efficiently. And if anything, this gap

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<v Speaker 9>is widening. I just took delivery of my new medal three,

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<v Speaker 9>the high Lander. Like the podcast Testa is making it

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<v Speaker 9>doing grades and very cost efficient.

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<v Speaker 8>Cards is still mind blowing.

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<v Speaker 9>So I think it's still a very powerful company in

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<v Speaker 9>the stock is vastly undervalued if you look at it

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<v Speaker 9>in the long run. In terms of short term developments,

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<v Speaker 9>I have a lot of sympathy for where the stock

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<v Speaker 9>is going has been going in the last three months

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<v Speaker 9>because Tesla has been hitting a wall in terms of growth,

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<v Speaker 9>has been forced to regius pricing lots, you know, like

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<v Speaker 9>finding themselves in a situation where they were raising increasing

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<v Speaker 9>productions faster than demon could could increase. So they have

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<v Speaker 9>to reset the bar and it's not going to happen

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<v Speaker 9>over a few weeks. We still have a lot of

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<v Speaker 9>inventories ri seeing are still low. Demand is still not

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<v Speaker 9>enough to comfortably absorb the production today, so we will

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<v Speaker 9>need some time, you know, to get the start back

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<v Speaker 9>on track, and of course the stock correcting to that

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<v Speaker 9>is the way the market works, and yes, I have

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<v Speaker 9>sympathy for that. TESTA is at a low point, is

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<v Speaker 9>between two gross trajectories, continues to work on you know,

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<v Speaker 9>long terim moonshots like Theroid and a robotaxi, and in

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<v Speaker 9>the meantime, like the next couple of years are going

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<v Speaker 9>to be years of recovery.

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<v Speaker 8>So ahead of that, seeing the stock quickening makes sense

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<v Speaker 8>to me, even.

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<v Speaker 9>If I would disagree with that blatantly with evaluation implied,

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<v Speaker 9>if she will get it over like a three to

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<v Speaker 9>five year horizon, yeah.

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<v Speaker 3>Giving us short term and the long term, we thank you,

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<v Speaker 3>Head of Tech infrastructures, research of a new street research.

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<v Speaker 6>Some of the longest sentences in the house, but we

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<v Speaker 6>love it.

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<v Speaker 3>Meanwhile, coming up tech earnings, they're upon us will dive

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<v Speaker 3>deeper into what to expect and the current state of

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<v Speaker 3>tech market's more broadly aired.

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<v Speaker 6>What are you looking at ahead of that conversation?

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<v Speaker 4>Philadelphia Semiconductor Index or SOCKS twenty seven names in the red,

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<v Speaker 4>three in the green.

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<v Speaker 5>Biggest drop on ASML.

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<v Speaker 4>The story chip contract manufacturers are not ordering chip making equipment.

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<v Speaker 5>What does that tell us? We'll explain next. This is Bloomberg.

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<v Speaker 3>Technology ASML chip equipment maker, having its worst day since

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<v Speaker 3>June twenty twenty two. Now put it into context, this

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<v Speaker 3>is a company that's up about twenty five percent so

0:12:48.280 --> 0:12:50.920
<v Speaker 3>far this year. Nevertheless, we see a pullback because it's

0:12:50.960 --> 0:12:53.640
<v Speaker 3>earnings really disappoint on the quarter that we've just seen

0:12:53.840 --> 0:12:55.960
<v Speaker 3>in terms of revenue. But also pointing to this quarter

0:12:56.000 --> 0:12:58.080
<v Speaker 3>we're already in saying it's going to be low where

0:12:58.120 --> 0:13:02.400
<v Speaker 3>the market had anticipated. Why, Well, we're seeing TSMC Samsung

0:13:02.520 --> 0:13:04.880
<v Speaker 3>pull back on perhaps some of the orders that we

0:13:05.000 --> 0:13:07.120
<v Speaker 3>thought for some of their overall chip equipment.

0:13:07.440 --> 0:13:09.760
<v Speaker 6>Now, this still shows a chip sector that's.

0:13:09.640 --> 0:13:11.679
<v Speaker 3>In recovery when you're thinking of our own purchases of

0:13:11.720 --> 0:13:13.959
<v Speaker 3>electronic goods, and they're like, but what of the AI

0:13:14.240 --> 0:13:16.880
<v Speaker 3>revolution ed? This is what's so interesting is the fact

0:13:16.880 --> 0:13:20.240
<v Speaker 3>that actually their number one market, it's China. Basically half

0:13:20.360 --> 0:13:22.160
<v Speaker 3>of their revenue is coming from China at the moment,

0:13:22.240 --> 0:13:24.880
<v Speaker 3>even though we see those sanctions, those curbs on such

0:13:25.200 --> 0:13:29.400
<v Speaker 3>very high EUV chip equipment going to China, they can't

0:13:29.400 --> 0:13:31.520
<v Speaker 3>get their hands on that, but actually they're still relatively

0:13:31.640 --> 0:13:35.760
<v Speaker 3>strong orders for the lower elements of where that chip

0:13:35.760 --> 0:13:36.679
<v Speaker 3>equipment has been going.

0:13:36.920 --> 0:13:41.040
<v Speaker 4>But notably, look their own revenues that China historically is

0:13:41.080 --> 0:13:46.400
<v Speaker 4>big market. The story of the anxiety is about not China, TSMC, Taiwan,

0:13:46.600 --> 0:13:50.520
<v Speaker 4>Samsung in South Korea, all this CAPEX commitment, but they're

0:13:50.559 --> 0:13:53.719
<v Speaker 4>not fronting up in the short term. The drop was

0:13:53.760 --> 0:13:57.319
<v Speaker 4>called on quarter sixty one percent for EUV lithography. Basically,

0:13:57.559 --> 0:14:01.600
<v Speaker 4>they ain't buying machines that make chips. Why let's dig

0:14:01.720 --> 0:14:04.880
<v Speaker 4>deeper into these markets tech earning seasons also around the

0:14:04.920 --> 0:14:07.840
<v Speaker 4>corner epek Oscar Diskay, a senior market analyst over at

0:14:07.840 --> 0:14:11.559
<v Speaker 4>Swiss quote. You know, there's the headlines governments in Europe

0:14:11.559 --> 0:14:14.240
<v Speaker 4>and the United States right in big checks, saying come

0:14:14.280 --> 0:14:15.480
<v Speaker 4>and build chip factories.

0:14:15.520 --> 0:14:16.400
<v Speaker 5>It's going to be great.

0:14:16.720 --> 0:14:20.360
<v Speaker 4>And Samsung and TSMC gave us better capex outlooks for

0:14:20.440 --> 0:14:23.000
<v Speaker 4>this year, and then we've got ASML and things aren't

0:14:23.040 --> 0:14:23.720
<v Speaker 4>going so rosy.

0:14:23.800 --> 0:14:24.560
<v Speaker 5>What was your read on that?

0:14:25.760 --> 0:14:29.640
<v Speaker 10>Well, Actually, ASML Earning is really disappointed this morning in

0:14:29.760 --> 0:14:33.320
<v Speaker 10>Europe and kind of raised a couple of ibros regarding

0:14:33.880 --> 0:14:37.440
<v Speaker 10>the sustainability of the demand growth from chip makers and

0:14:37.600 --> 0:14:39.400
<v Speaker 10>the sustainability.

0:14:38.600 --> 0:14:39.160
<v Speaker 2>Of the AI.

0:14:39.360 --> 0:14:42.320
<v Speaker 10>Really now, it's important to note that ASML said that

0:14:42.480 --> 0:14:44.560
<v Speaker 10>the second half of this year is going to see

0:14:44.640 --> 0:14:49.080
<v Speaker 10>a rebound and they actually kept their full year outlook unchanged,

0:14:49.320 --> 0:14:52.320
<v Speaker 10>but obviously because now we are used to have fantastic

0:14:52.480 --> 0:14:56.920
<v Speaker 10>results from chip makers while the ASML's disappointment. Disappointment has

0:14:57.280 --> 0:15:01.680
<v Speaker 10>been a sour taste in investors well mouth this morning.

0:15:01.800 --> 0:15:04.960
<v Speaker 10>And I'm actually we actually think that at some point

0:15:05.120 --> 0:15:08.600
<v Speaker 10>reasonably the growth and growth expectations for chip makers will

0:15:08.920 --> 0:15:11.600
<v Speaker 10>be leveling out, and it's just to see if this

0:15:11.800 --> 0:15:15.600
<v Speaker 10>is the quarter that we will see these expectations slow down,

0:15:16.000 --> 0:15:18.880
<v Speaker 10>and there is a possibility that we do see them

0:15:18.960 --> 0:15:21.960
<v Speaker 10>slow down, and that's going to be able to trigger

0:15:22.200 --> 0:15:26.280
<v Speaker 10>actually a sizeable downside correction and profit taking. But more

0:15:26.400 --> 0:15:30.360
<v Speaker 10>broadly regarding AI, well, ASMA also said that they expect

0:15:30.440 --> 0:15:34.080
<v Speaker 10>AI to continue to contribute to their revenues, and we

0:15:34.240 --> 0:15:37.840
<v Speaker 10>do also expect AI really to continue, maybe not in

0:15:37.920 --> 0:15:41.400
<v Speaker 10>the same way because we expect some changes within the

0:15:41.520 --> 0:15:44.400
<v Speaker 10>AI segments. So what I mean by that is we

0:15:44.640 --> 0:15:47.280
<v Speaker 10>saw so far the first phase, what we call the

0:15:47.320 --> 0:15:50.240
<v Speaker 10>first phase of the AI really benefit to companies, to

0:15:50.400 --> 0:15:54.520
<v Speaker 10>chip makers, data centers, cloud businesses, all these companies that

0:15:54.640 --> 0:15:58.560
<v Speaker 10>do provide AI tools other companies. But we are now

0:15:58.800 --> 0:16:01.840
<v Speaker 10>thinking that there will be second phase in this AI

0:16:02.080 --> 0:16:05.720
<v Speaker 10>really which is expected to benefit two companies that actually

0:16:05.840 --> 0:16:10.160
<v Speaker 10>invest in massively in AI technologies and tools and which

0:16:10.200 --> 0:16:14.440
<v Speaker 10>should shortly start well seeing the return on their AI investments.

0:16:14.520 --> 0:16:16.440
<v Speaker 6>So I think that even though we see.

0:16:16.280 --> 0:16:20.600
<v Speaker 10>Some disappointment in terms of chip maker earnings Squart, while

0:16:20.640 --> 0:16:22.960
<v Speaker 10>the AI really is not ready to end, you.

0:16:23.080 --> 0:16:25.400
<v Speaker 3>Pack brun that out to the rest of earning season

0:16:25.480 --> 0:16:28.120
<v Speaker 3>for us, because well, there's a lot of optimism that

0:16:28.200 --> 0:16:30.320
<v Speaker 3>AI is already going to be helping with costs for example.

0:16:31.480 --> 0:16:34.920
<v Speaker 10>Well, actually, the AI has been the major talking point

0:16:35.000 --> 0:16:36.920
<v Speaker 10>and the expectations are quite high.

0:16:37.080 --> 0:16:37.400
<v Speaker 5>Mind you.

0:16:37.600 --> 0:16:41.440
<v Speaker 10>I mean looking at the magnificent seven socks expectations around

0:16:41.560 --> 0:16:45.080
<v Speaker 10>learning's growth of around forty percent for the first quarter.

0:16:45.400 --> 0:16:48.880
<v Speaker 10>That's huge number. That's still down from fifty five percent

0:16:49.000 --> 0:16:52.440
<v Speaker 10>printed a quarter earlier. But if we single out stocks

0:16:52.520 --> 0:16:54.840
<v Speaker 10>like Tesla and Apple who have been in trouble in

0:16:55.000 --> 0:16:59.360
<v Speaker 10>the first quarter, will the expectation of earnings growth goes.

0:16:59.320 --> 0:17:01.400
<v Speaker 6>All the way up to eighty percent.

0:17:01.520 --> 0:17:04.760
<v Speaker 10>So now we're talking about a handful of AI sucks,

0:17:04.840 --> 0:17:08.679
<v Speaker 10>namely Nvidia, Microsoft, but also Google, and we're sold by

0:17:08.800 --> 0:17:11.560
<v Speaker 10>Facebook and Amazon. So I think that there is a

0:17:11.840 --> 0:17:14.520
<v Speaker 10>huge optimism out there. But what we will be really

0:17:14.600 --> 0:17:18.680
<v Speaker 10>interested in is who within this AI segment is going

0:17:18.720 --> 0:17:22.120
<v Speaker 10>to be profiting from the AI developments, whether it's going

0:17:22.200 --> 0:17:24.760
<v Speaker 10>to be the provider of AI tools or are we

0:17:24.880 --> 0:17:27.919
<v Speaker 10>going to shift towards well the user of the AI tools.

0:17:28.359 --> 0:17:30.480
<v Speaker 6>IMPAC great to have your voice in the show. Thank you.

0:17:30.600 --> 0:17:34.280
<v Speaker 3>Ipek Oscar Deshka, Senior market analyst, Swiss quote giving us

0:17:34.320 --> 0:17:39.840
<v Speaker 3>the context. JP Morgan, Chase c Jamie Dinan. He makes

0:17:39.920 --> 0:17:42.200
<v Speaker 3>no secret of his firm than it is all in

0:17:42.320 --> 0:17:45.040
<v Speaker 3>on artificial intelligence. Now the head of the world's biggest bank,

0:17:45.160 --> 0:17:47.760
<v Speaker 3>when he's laying out his vision for the future money

0:17:47.840 --> 0:17:49.080
<v Speaker 3>in this AI world.

0:17:49.440 --> 0:17:51.280
<v Speaker 6>He spoke with Bloomberg Original's.

0:17:50.840 --> 0:17:53.720
<v Speaker 3>Host Emily Chang about that and so much more in

0:17:53.760 --> 0:17:56.520
<v Speaker 3>the premiere episode of The Circuits second season, particul Listen.

0:17:58.840 --> 0:18:00.760
<v Speaker 2>The best needs be prepared for any business.

0:18:01.440 --> 0:18:04.119
<v Speaker 11>I think when you think about really think about things

0:18:04.160 --> 0:18:06.840
<v Speaker 11>that can go terribly wrong, can you survive them? You know,

0:18:06.960 --> 0:18:09.879
<v Speaker 11>it could be technology, it could be government regulations, it

0:18:09.960 --> 0:18:12.639
<v Speaker 11>could be it could be the literally the weather. If

0:18:12.640 --> 0:18:14.320
<v Speaker 11>you're a restaurant, you know that might close you down.

0:18:14.400 --> 0:18:16.720
<v Speaker 11>If you have if you lose this week's business, you're

0:18:16.720 --> 0:18:18.760
<v Speaker 11>out of business. Get enough cash. So you should think

0:18:18.800 --> 0:18:19.320
<v Speaker 11>all that through.

0:18:19.800 --> 0:18:23.200
<v Speaker 12>Bill Gates once said banking is necessary, banks are not

0:18:24.320 --> 0:18:27.560
<v Speaker 12>to what extent could AI or fintech replace traditional banks.

0:18:28.040 --> 0:18:29.560
<v Speaker 11>So I think, first of all, I remember him saying

0:18:29.600 --> 0:18:31.720
<v Speaker 11>banks of dinosaurs. I spoke to about it in nineteen

0:18:31.800 --> 0:18:34.639
<v Speaker 11>ninety seven, and obviously he was dead roll. We probably

0:18:34.640 --> 0:18:38.080
<v Speaker 11>agree to that, but he's not wrong. The technology changes everything.

0:18:38.520 --> 0:18:41.320
<v Speaker 11>And if anyone is complacent or arrogant or think that

0:18:41.600 --> 0:18:43.200
<v Speaker 11>because you have a big position to day, you get

0:18:43.200 --> 0:18:46.520
<v Speaker 11>a big position tomorrow, that's a mistake. But the end

0:18:46.520 --> 0:18:48.480
<v Speaker 11>of this fine what is banking. Someone's going to have

0:18:48.560 --> 0:18:50.720
<v Speaker 11>to hold the money. Someone's got to move the money,

0:18:50.960 --> 0:18:53.080
<v Speaker 11>someone's got to raise the money, someone's got.

0:18:53.000 --> 0:18:55.400
<v Speaker 2>To do research, you know, around money.

0:18:55.760 --> 0:18:58.840
<v Speaker 11>Those services will still be around, and you know, hopefully

0:18:58.880 --> 0:19:00.320
<v Speaker 11>we're doing it and using a lot have to do

0:19:00.400 --> 0:19:02.720
<v Speaker 11>a better job at it. But I've always thought it's

0:19:02.880 --> 0:19:05.920
<v Speaker 11>very possible that some tech thing, you know, distant intermediates

0:19:05.960 --> 0:19:08.480
<v Speaker 11>a piece of that. And I've been writing about you know,

0:19:08.600 --> 0:19:11.080
<v Speaker 11>big tech going to our business. We've got fintech. We

0:19:11.160 --> 0:19:14.280
<v Speaker 11>also have big tech, and they will embed payment systems

0:19:14.320 --> 0:19:16.600
<v Speaker 11>in there. Some we're going to white label banks kind

0:19:16.600 --> 0:19:17.360
<v Speaker 11>of what Apple did.

0:19:17.920 --> 0:19:18.040
<v Speaker 13>Uh.

0:19:18.119 --> 0:19:19.480
<v Speaker 2>You know, they have the right to do that. I'm

0:19:19.480 --> 0:19:20.119
<v Speaker 2>not against that.

0:19:20.560 --> 0:19:23.520
<v Speaker 11>I would be against unfair use of their position to

0:19:23.680 --> 0:19:24.720
<v Speaker 11>dominus in a business.

0:19:25.000 --> 0:19:27.880
<v Speaker 12>Well, Apple is going deeper into financial services.

0:19:27.920 --> 0:19:29.520
<v Speaker 6>Do you worry about the bank of Apple.

0:19:29.640 --> 0:19:32.800
<v Speaker 11>Well, we'll get to compete, so they have a tough competitor.

0:19:32.880 --> 0:19:36.360
<v Speaker 11>But you know they hold money, move money. Yeah, they're

0:19:36.400 --> 0:19:38.440
<v Speaker 11>a form of a competitor. You know, we also partner

0:19:38.520 --> 0:19:41.199
<v Speaker 11>with them, but I'm very used to partnering and competing

0:19:41.280 --> 0:19:42.200
<v Speaker 11>with lots of people.

0:19:43.160 --> 0:19:44.040
<v Speaker 12>Existential threat.

0:19:45.080 --> 0:19:47.320
<v Speaker 2>I don't think it's an existential threat. But I think

0:19:47.440 --> 0:19:49.520
<v Speaker 2>if we were complacent about it.

0:19:49.720 --> 0:19:54.320
<v Speaker 4>Yes, that was JP Morgan, Chase CEO, Jamie Diamond, and

0:19:54.480 --> 0:19:56.159
<v Speaker 4>right here on set, this is being back in the

0:19:56.200 --> 0:19:59.200
<v Speaker 4>regional so it's Emily Chang. Jamie Diamond is kind of

0:19:59.200 --> 0:20:02.359
<v Speaker 4>one of the most upset about people like high flying

0:20:02.440 --> 0:20:06.560
<v Speaker 4>executive in the person yep, the circuit series too.

0:20:06.720 --> 0:20:07.760
<v Speaker 5>That's kind of what's cool.

0:20:07.600 --> 0:20:10.680
<v Speaker 4>About it is you get people in a chair but

0:20:11.200 --> 0:20:14.000
<v Speaker 4>being themselves. How did you do it this time around?

0:20:14.080 --> 0:20:14.480
<v Speaker 14>Oh boy?

0:20:14.560 --> 0:20:16.320
<v Speaker 12>And this was my first time meeting him. You know,

0:20:16.400 --> 0:20:18.960
<v Speaker 12>it was all about London, right in London, and he

0:20:19.119 --> 0:20:21.159
<v Speaker 12>was just there for a tech conference really quick. It

0:20:21.240 --> 0:20:23.440
<v Speaker 12>was all about just making the most of every single minute,

0:20:23.600 --> 0:20:26.040
<v Speaker 12>the handshake, the walk to the interview room, the chit

0:20:26.160 --> 0:20:28.720
<v Speaker 12>chat that you know before we actually got quote unquote

0:20:28.760 --> 0:20:31.760
<v Speaker 12>on camera for you know, the formal sit down interview,

0:20:31.880 --> 0:20:33.880
<v Speaker 12>and you know, we talked about how many days he's

0:20:33.920 --> 0:20:35.520
<v Speaker 12>on the road a year, one hundred and twenty days.

0:20:35.560 --> 0:20:38.720
<v Speaker 6>We talked about childhood, family. I asked, you know, how

0:20:38.760 --> 0:20:40.040
<v Speaker 6>do you do it? He was like, what do you mean,

0:20:40.720 --> 0:20:41.639
<v Speaker 6>how do you juggle it all?

0:20:41.760 --> 0:20:43.840
<v Speaker 12>And I think he kind of appreciated that question because

0:20:43.840 --> 0:20:45.480
<v Speaker 12>it's you know, you normally ask that to a woman,

0:20:45.560 --> 0:20:47.600
<v Speaker 12>and you don't ask that to someone like date Jamie Dimond,

0:20:47.600 --> 0:20:49.680
<v Speaker 12>and he was like, look, I don't I don't socialize,

0:20:49.680 --> 0:20:52.000
<v Speaker 12>I don't go on red carpets. It's it's work and

0:20:52.119 --> 0:20:55.040
<v Speaker 12>family and that's what it is, and family actually comes first.

0:20:55.359 --> 0:20:57.119
<v Speaker 12>And so that's kind of where we started, and we

0:20:57.800 --> 0:20:59.040
<v Speaker 12>tried to open up from there.

0:21:00.040 --> 0:21:02.280
<v Speaker 3>You then, of course peel away not only about his

0:21:02.440 --> 0:21:05.720
<v Speaker 3>family and keutles for continuing to ask that of both

0:21:05.760 --> 0:21:08.600
<v Speaker 3>men and women, but ultimately about how AI is changing

0:21:08.640 --> 0:21:10.280
<v Speaker 3>his business. You're going to be thinking about AI for

0:21:10.320 --> 0:21:11.960
<v Speaker 3>the rest of the season as well.

0:21:12.000 --> 0:21:14.359
<v Speaker 6>I'm pretty sure AI is a.

0:21:14.440 --> 0:21:17.160
<v Speaker 12>Huge part of the season, as it is a huge

0:21:17.200 --> 0:21:19.199
<v Speaker 12>part of your show. I mean, it's a huge part

0:21:19.240 --> 0:21:20.760
<v Speaker 12>of our world. We can't avoid it. One of the

0:21:20.840 --> 0:21:24.680
<v Speaker 12>interesting questions I had for him is, you know, Chat JPM,

0:21:24.840 --> 0:21:27.440
<v Speaker 12>will something like that exist in the future where we

0:21:27.520 --> 0:21:29.800
<v Speaker 12>could ask, you know, I've got thirty years, what should

0:21:29.800 --> 0:21:31.760
<v Speaker 12>I do with my money? And he said, essentially yes,

0:21:31.880 --> 0:21:34.359
<v Speaker 12>it's already doing that. We've got AI embedded and everything.

0:21:34.400 --> 0:21:36.960
<v Speaker 12>It's gonna learn more and more about you. Will I

0:21:37.040 --> 0:21:39.119
<v Speaker 12>be able to say to Chat JPM. I want to

0:21:39.119 --> 0:21:40.720
<v Speaker 12>get rich quick, and he was like, I hope it

0:21:40.760 --> 0:21:42.399
<v Speaker 12>tells you that you're crazy, because that's just.

0:21:43.240 --> 0:21:44.320
<v Speaker 6>Not possible.

0:21:45.720 --> 0:21:48.160
<v Speaker 5>Really quickly. What can we expect this season?

0:21:48.880 --> 0:21:49.040
<v Speaker 8>Oh?

0:21:50.119 --> 0:21:52.880
<v Speaker 12>Well, I hope you love it. We're traveling. We're taking

0:21:52.920 --> 0:21:55.240
<v Speaker 12>you to Latin America, going on Netflix sets. That's sort

0:21:55.280 --> 0:21:58.439
<v Speaker 12>of the next leg of their global expansion. After South Korea,

0:21:58.560 --> 0:22:00.880
<v Speaker 12>we go to see Mary Bara and Troy. We spend

0:22:00.920 --> 0:22:02.480
<v Speaker 12>a lot of time with her and really get to

0:22:02.560 --> 0:22:05.879
<v Speaker 12>know her behind the scenes. Palmer Lucky, the founder of Oculus,

0:22:06.080 --> 0:22:10.359
<v Speaker 12>and of course Anderild now making drones and satellites, AI

0:22:10.480 --> 0:22:11.040
<v Speaker 12>and warfare.

0:22:11.720 --> 0:22:13.639
<v Speaker 6>I hope you love it, sure.

0:22:13.600 --> 0:22:15.440
<v Speaker 5>Well, Bloomberg Original's host Emily Change.

0:22:15.480 --> 0:22:18.360
<v Speaker 4>You can catch the full first episode tonight on Bloomberg

0:22:18.400 --> 0:22:19.200
<v Speaker 4>six pm Eastern.

0:22:26.359 --> 0:22:28.680
<v Speaker 6>Welcome back to Bloombog Technology. I'm Caroline Hyde in New.

0:22:28.680 --> 0:22:31.240
<v Speaker 5>York and I'm as our Vote in San Francisco.

0:22:31.320 --> 0:22:32.960
<v Speaker 4>A very quick check in on the markets and when

0:22:32.960 --> 0:22:36.440
<v Speaker 4>it comes to publicly traded technology names. I'm taking a

0:22:36.480 --> 0:22:41.879
<v Speaker 4>look at Tesla sevent tens four percent. It's paired its decline,

0:22:42.040 --> 0:22:44.000
<v Speaker 4>but we're still down for a fourth straight session. We

0:22:44.080 --> 0:22:46.200
<v Speaker 4>talked about the reasons why earlier in the show with

0:22:46.280 --> 0:22:49.800
<v Speaker 4>Pierre Ferugu it's a sock that's below five hundred billion

0:22:49.800 --> 0:22:53.080
<v Speaker 4>dollars now in market cap, and you know, I'm looking

0:22:53.119 --> 0:22:56.359
<v Speaker 4>for stories. I'm looking for clear downward direction in the market.

0:22:56.520 --> 0:23:00.159
<v Speaker 4>Tesla was one name that contributes to that. Bitcoins so

0:23:00.240 --> 0:23:02.919
<v Speaker 4>really interesting. Actually during the course of this show, Carrow,

0:23:03.160 --> 0:23:05.480
<v Speaker 4>you highlighted it earlier. But we're now down nearer to

0:23:05.560 --> 0:23:09.440
<v Speaker 4>sixty thousand US dollars per token on bitcoin, a drop

0:23:09.520 --> 0:23:12.320
<v Speaker 4>of four percent in the session of an asset that

0:23:12.400 --> 0:23:15.280
<v Speaker 4>trades twenty four to seven on the Bloomberg terminal. There's

0:23:15.280 --> 0:23:17.320
<v Speaker 4>a lot of writing about the real world use case

0:23:17.960 --> 0:23:22.280
<v Speaker 4>ATMs in Latin America becoming more mainstay, but also the

0:23:22.520 --> 0:23:26.359
<v Speaker 4>industry bracing for the harving loads of people saying they're ready.

0:23:26.400 --> 0:23:28.320
<v Speaker 4>But if you look at some of the technology related

0:23:28.359 --> 0:23:31.520
<v Speaker 4>stocks linked to crypto, those are also seeing some downward pressure.

0:23:32.000 --> 0:23:33.919
<v Speaker 5>And we other pieces of news from that industry too.

0:23:34.400 --> 0:23:36.439
<v Speaker 3>We do, and let's dive in because Gray Scale Investment

0:23:36.520 --> 0:23:39.280
<v Speaker 3>CEO Michael the Sonosheine. He says that the market for

0:23:39.480 --> 0:23:43.440
<v Speaker 3>US spot bitcoin ETFs, still relatively new, hasn't seen.

0:23:43.359 --> 0:23:45.520
<v Speaker 6>Wide scale institutional adoption at least.

0:23:45.840 --> 0:23:48.520
<v Speaker 3>In an exclusive conversation with blouobg TV, the CEO also

0:23:48.600 --> 0:23:51.359
<v Speaker 3>spoke about the SEC's approval of bitcoin ETFs and the

0:23:51.440 --> 0:23:53.520
<v Speaker 3>long road to regulatory approval.

0:23:53.520 --> 0:23:54.280
<v Speaker 6>Is what we have to say.

0:23:55.280 --> 0:23:57.040
<v Speaker 15>Even though they've been in market now for three and

0:23:57.080 --> 0:23:59.840
<v Speaker 15>a half months, we still do not have listed option

0:24:00.119 --> 0:24:03.800
<v Speaker 15>unspot bitcoin et apps. This is a really important feature

0:24:03.880 --> 0:24:07.240
<v Speaker 15>that investors want and they deserve. This can help investors

0:24:07.280 --> 0:24:11.600
<v Speaker 15>to manage their positions, manage risk. Ultimately, I do believe

0:24:11.680 --> 0:24:14.640
<v Speaker 15>that the SEC should be approving these so that they're

0:24:14.680 --> 0:24:17.320
<v Speaker 15>once again not in a position to be treating spot

0:24:17.359 --> 0:24:21.080
<v Speaker 15>bitcoin et apps disparately from you know, bitcoin futures based UTPs.

0:24:23.200 --> 0:24:26.280
<v Speaker 4>Let's stick with regulation. Moving on to stable coins now.

0:24:26.320 --> 0:24:28.480
<v Speaker 4>I'm to push in the House and the Senate to

0:24:28.600 --> 0:24:32.480
<v Speaker 4>pass such legislation as soon as next month. Senators Loomis

0:24:32.560 --> 0:24:36.760
<v Speaker 4>and Gillibrand are proposing a measure that would ban algorithmic

0:24:36.920 --> 0:24:39.600
<v Speaker 4>stable coins and say that bill would protect consumers in

0:24:39.760 --> 0:24:43.760
<v Speaker 4>US dollar while enabling innovation in payments. Scout to DC

0:24:43.800 --> 0:24:46.159
<v Speaker 4>with Bloombers Kaylee Lyons. I saw a headline on the

0:24:46.240 --> 0:24:50.120
<v Speaker 4>terminal this morning that says the legislation has momentum from

0:24:50.160 --> 0:24:51.440
<v Speaker 4>one of those senators, does it.

0:24:53.160 --> 0:24:53.360
<v Speaker 2>Yeah.

0:24:53.680 --> 0:24:57.119
<v Speaker 16>This is an effort by Gillibrand and Lummis, who have

0:24:57.359 --> 0:24:59.920
<v Speaker 16>had cryptoinitiatives in the past. They've introduced in the past

0:25:00.160 --> 0:25:03.480
<v Speaker 16>much wider legislation to kind of set regulatory standards for

0:25:03.600 --> 0:25:06.080
<v Speaker 16>the industry as a whole. This is a much narrow effort,

0:25:06.119 --> 0:25:08.679
<v Speaker 16>and perhaps the narrowness of it is what could actually

0:25:08.760 --> 0:25:10.720
<v Speaker 16>get this across the finish line in the way that

0:25:10.800 --> 0:25:13.600
<v Speaker 16>other efforts have not. Essentially, what we're talking about here

0:25:13.720 --> 0:25:15.639
<v Speaker 16>is a framework for stable coins, as you mentioned, that

0:25:15.640 --> 0:25:19.040
<v Speaker 16>would ban algorithmic stable coins. Perhaps the example of an

0:25:19.040 --> 0:25:21.680
<v Speaker 16>algorithmic stable coin that looms largest in our head is

0:25:21.840 --> 0:25:24.600
<v Speaker 16>terry USD, which of course was supposed to be pegged

0:25:24.640 --> 0:25:26.320
<v Speaker 16>one for once and the dollar, but instead of being

0:25:26.359 --> 0:25:29.639
<v Speaker 16>backed by reserved to use smart contracts to try to

0:25:29.760 --> 0:25:32.280
<v Speaker 16>keep that peg, which worked until it did not and

0:25:32.320 --> 0:25:35.480
<v Speaker 16>then collapsed in fabulous fashion with forty billion dollars being

0:25:35.520 --> 0:25:37.520
<v Speaker 16>wiped out. So they want to avoid that in the future.

0:25:37.600 --> 0:25:40.320
<v Speaker 16>What this regulation instead would do is not allow those

0:25:40.600 --> 0:25:44.800
<v Speaker 16>and require one to one reserve requirements for stable coin issuers,

0:25:44.840 --> 0:25:47.400
<v Speaker 16>so making sure there actually is a dollar for every

0:25:47.960 --> 0:25:50.520
<v Speaker 16>one dollar stable coin that is out there, would set

0:25:50.560 --> 0:25:53.119
<v Speaker 16>some other guidelines as well as to the authorities that

0:25:53.200 --> 0:25:55.880
<v Speaker 16>federal and state regulators would have. And interestingly, it also

0:25:55.920 --> 0:25:59.520
<v Speaker 16>would establish the FDIC as being able to recover lost

0:25:59.520 --> 0:26:03.639
<v Speaker 16>assets these stable coins collapse. Obviously, again, that's probably a

0:26:03.720 --> 0:26:06.360
<v Speaker 16>product of what we have seen in the past. Will

0:26:06.440 --> 0:26:09.080
<v Speaker 16>this initiative actually move forward is kind of a question

0:26:09.200 --> 0:26:11.399
<v Speaker 16>that will be left to the Democratic Senator from Ohio

0:26:11.480 --> 0:26:13.560
<v Speaker 16>and chair of the Banking Committee, Shared Brown. He is

0:26:13.720 --> 0:26:16.639
<v Speaker 16>largely a cryptoskeptic, but in an interview this week he

0:26:16.760 --> 0:26:18.919
<v Speaker 16>did suggest that he could see the stable coin measure

0:26:19.160 --> 0:26:21.720
<v Speaker 16>attached to other measures that have gone through his committee,

0:26:21.720 --> 0:26:25.159
<v Speaker 16>including safe banking for marijuana companies in the clawbacks of

0:26:25.200 --> 0:26:28.280
<v Speaker 16>compensation for executives of collapse banks. So we'll see if

0:26:28.320 --> 0:26:30.440
<v Speaker 16>this initiative does move forward in the Senate. And I

0:26:30.440 --> 0:26:32.320
<v Speaker 16>would note as well that in the House, the Chair

0:26:32.320 --> 0:26:34.879
<v Speaker 16>of the Financial Services Committee, Patrick McHenry, along with the

0:26:34.960 --> 0:26:37.439
<v Speaker 16>ranking member Maxine Waters, are working on a stable coin

0:26:37.480 --> 0:26:38.240
<v Speaker 16>effort of their own.

0:26:38.800 --> 0:26:41.600
<v Speaker 3>Yeah, I mean already meeting with Senate to Majority Leader

0:26:41.800 --> 0:26:46.639
<v Speaker 3>Chuck Schumer about this and Kayleie more broadly, how necessary

0:26:46.760 --> 0:26:49.200
<v Speaker 3>is is for the industry to have some sort of

0:26:49.560 --> 0:26:52.560
<v Speaker 3>robust set of rules of god rails. We've already been

0:26:52.600 --> 0:26:55.120
<v Speaker 3>speaking with the European Commissioner, for example, about how they've

0:26:55.119 --> 0:26:57.680
<v Speaker 3>been trying to enforce regulation, and at least it's clarity

0:26:57.760 --> 0:26:58.320
<v Speaker 3>of some sort.

0:27:00.080 --> 0:27:02.880
<v Speaker 16>Clarity is what this industry is often asking for, Caroline,

0:27:02.920 --> 0:27:04.960
<v Speaker 16>and certainly this probably does not go as far as

0:27:05.000 --> 0:27:06.960
<v Speaker 16>the industry would like, but it would address us a

0:27:07.160 --> 0:27:09.360
<v Speaker 16>certain part of it. We've already heard from some industry

0:27:09.600 --> 0:27:12.640
<v Speaker 16>lobbying groups, like the Blockchain Associations that they are supportive

0:27:12.920 --> 0:27:14.800
<v Speaker 16>of the stable coin effort, and when I've talked to

0:27:14.960 --> 0:27:17.120
<v Speaker 16>people here in Washington, a lot of them have expressed

0:27:17.160 --> 0:27:20.640
<v Speaker 16>much more optimism that stable coin legislation is the most

0:27:20.760 --> 0:27:23.359
<v Speaker 16>likely thing to get through this Congress, versus more wide

0:27:23.400 --> 0:27:27.320
<v Speaker 16>sweeping legislation that would actually perhaps delineate what, for example,

0:27:27.400 --> 0:27:30.639
<v Speaker 16>the SEC would have control over versus the CFTC. That

0:27:30.760 --> 0:27:33.600
<v Speaker 16>has proven a lot more difficult to do. On Capitol Hill,

0:27:33.920 --> 0:27:36.280
<v Speaker 16>we have seen an effort get through the Financial Services

0:27:36.359 --> 0:27:39.560
<v Speaker 16>and Agricultural committees in the House that would delineate that

0:27:39.680 --> 0:27:44.360
<v Speaker 16>regulatory land, if you will, territory for those two different agencies,

0:27:44.400 --> 0:27:46.760
<v Speaker 16>but that has not moved forward further. And that really

0:27:47.440 --> 0:27:50.280
<v Speaker 16>is what would be required much more sweepingly to provide

0:27:50.359 --> 0:27:52.560
<v Speaker 16>clarity for the industry. And in the meantime, of course,

0:27:52.640 --> 0:27:54.840
<v Speaker 16>is you all probably know well based on your crypto

0:27:54.880 --> 0:27:58.159
<v Speaker 16>conversations here on Bloomberg Technology, the industry really sees that

0:27:58.280 --> 0:28:00.719
<v Speaker 16>at this point it's regulation buy horsemen, and it may

0:28:00.760 --> 0:28:03.960
<v Speaker 16>stay that way. Intel Congress actually moves forward more substantially.

0:28:04.320 --> 0:28:07.639
<v Speaker 3>Katie Lyon's just so thorough with the analysis and getting

0:28:07.720 --> 0:28:09.800
<v Speaker 3>us up to speed. We thank you so much over

0:28:09.880 --> 0:28:12.000
<v Speaker 3>there in Washington. Meanwhile, well, let's just talk about the

0:28:12.119 --> 0:28:14.520
<v Speaker 3>SEC a little bit more. It's blocked third party messaging

0:28:14.600 --> 0:28:18.560
<v Speaker 3>apps and texts from employees work mobile phones. Now it's

0:28:18.600 --> 0:28:21.439
<v Speaker 3>bringing its own practices closer to the standards it's enforcing

0:28:21.480 --> 0:28:24.520
<v Speaker 3>for the industry, and that includes what'sapp and I Message. Now,

0:28:24.560 --> 0:28:28.000
<v Speaker 3>the SEC says it will quote lower risk that their systems.

0:28:27.640 --> 0:28:31.480
<v Speaker 6>Could be compromised and enhance record keeping. Interesting one head.

0:28:32.280 --> 0:28:34.040
<v Speaker 5>Yeah, let's get to another story out of Europe.

0:28:34.119 --> 0:28:36.920
<v Speaker 4>The CEO of Atos, which has been struggling with tumbling

0:28:37.000 --> 0:28:40.080
<v Speaker 4>shares and a wall of debt, is confident that the

0:28:40.200 --> 0:28:45.320
<v Speaker 4>French IT company will be say CEO Paul Seller, spoke

0:28:45.400 --> 0:28:49.240
<v Speaker 4>in an exclusive interview with Bloomberg's Caroline Connen in Paris.

0:28:49.320 --> 0:28:49.960
<v Speaker 5>Have listened to this.

0:28:51.440 --> 0:28:55.160
<v Speaker 13>We are actually working with our creditors, both our banks

0:28:55.280 --> 0:28:59.520
<v Speaker 13>and our bondholders for a solution to our high level

0:28:59.560 --> 0:29:02.440
<v Speaker 13>of debt, and the maturities are coming due in the

0:29:02.560 --> 0:29:07.280
<v Speaker 13>next eighteen months and the dialogue is very very positive.

0:29:08.280 --> 0:29:11.040
<v Speaker 13>We're operating under the consoliation, as you have mentioned, is

0:29:11.120 --> 0:29:16.080
<v Speaker 13>like a mediator is helping through those discussions, and I

0:29:16.320 --> 0:29:20.560
<v Speaker 13>do believe that everybody is aligned. In fact, we recently

0:29:20.760 --> 0:29:26.840
<v Speaker 13>had secured some liquidity from those same bondholders and banks,

0:29:27.480 --> 0:29:29.120
<v Speaker 13>again an indication.

0:29:28.800 --> 0:29:31.240
<v Speaker 2>That everybody is really aligned to find a solution.

0:29:31.720 --> 0:29:34.440
<v Speaker 14>So what else could be part of the proposal apart

0:29:34.600 --> 0:29:37.440
<v Speaker 14>from this group of bondholders. Are we going to see,

0:29:38.240 --> 0:29:42.480
<v Speaker 14>for example, some asset disposal announced before the end of

0:29:42.600 --> 0:29:45.880
<v Speaker 14>next week. Is that a possibility or do you totally

0:29:46.440 --> 0:29:46.960
<v Speaker 14>exclude this.

0:29:47.800 --> 0:29:51.040
<v Speaker 13>I think what we have presented is a comprehensive plan

0:29:51.320 --> 0:29:54.959
<v Speaker 13>that included all the assets of ATOS. Now we're going

0:29:55.000 --> 0:29:57.480
<v Speaker 13>to have to see what proposals are going to come through.

0:29:57.720 --> 0:30:00.680
<v Speaker 13>Some of them will just keep the whole the whole

0:30:01.880 --> 0:30:05.280
<v Speaker 13>of the company together. One of those proposal is likely

0:30:05.360 --> 0:30:08.400
<v Speaker 13>to come from one point, one of our largest shareholders,

0:30:08.840 --> 0:30:11.400
<v Speaker 13>and others will come in from our bondholders who seem

0:30:11.440 --> 0:30:14.240
<v Speaker 13>to also be interested in keeping the whole company. But

0:30:14.400 --> 0:30:18.560
<v Speaker 13>we can't just really ago any potential proposal that may

0:30:18.640 --> 0:30:21.360
<v Speaker 13>come in and may entail a different mix of ideas

0:30:21.560 --> 0:30:23.360
<v Speaker 13>such as asset disposal or not.

0:30:24.200 --> 0:30:27.600
<v Speaker 14>Will this whole pen be able to save Atos?

0:30:28.360 --> 0:30:30.680
<v Speaker 13>Actually ATOS is a great company. As I mentioned to you,

0:30:30.840 --> 0:30:33.360
<v Speaker 13>it's just really is going to be you know, I

0:30:33.480 --> 0:30:35.120
<v Speaker 13>do believe that will come up with a plan and

0:30:35.200 --> 0:30:38.680
<v Speaker 13>the company will succeed long term, So we'll be saved.

0:30:39.000 --> 0:30:39.800
<v Speaker 8>It will be saved.

0:30:41.240 --> 0:30:43.960
<v Speaker 6>Carolyn Conan speaking with the h CEO called Sally.

0:30:44.640 --> 0:30:46.440
<v Speaker 3>Now coming up, we're going to be joined my Meno

0:30:46.520 --> 0:30:49.560
<v Speaker 3>Ventures partner Matt Murphy on the firm's new playbook for

0:30:49.680 --> 0:30:51.600
<v Speaker 3>AI applications.

0:30:51.760 --> 0:30:52.000
<v Speaker 13>Or on that.

0:30:52.120 --> 0:30:53.360
<v Speaker 6>Next, this is Blue Big Technology.

0:31:07.000 --> 0:31:09.360
<v Speaker 3>Now it's today's VC Spotlight, and we're going to be

0:31:09.400 --> 0:31:11.400
<v Speaker 3>taking a look at some of the winning strategies the

0:31:11.520 --> 0:31:16.040
<v Speaker 3>formulas being used by early AI native enterprise companies, because

0:31:16.120 --> 0:31:18.640
<v Speaker 3>that's the focus of Meno ventures latest AI paybook.

0:31:19.000 --> 0:31:21.600
<v Speaker 6>Here to discuss. This is Meno Ventures partner Matt Murphy,

0:31:21.800 --> 0:31:22.719
<v Speaker 6>and you've put out.

0:31:22.760 --> 0:31:26.840
<v Speaker 3>Basically, there's seven Golden rules for generative AI apps. So

0:31:26.960 --> 0:31:29.520
<v Speaker 3>this isn't the foundational models, but this is the applications

0:31:29.520 --> 0:31:31.480
<v Speaker 3>which can be built upon these models that can be

0:31:31.520 --> 0:31:35.720
<v Speaker 3>then used cross industry or across sales or marketing. What

0:31:35.880 --> 0:31:38.160
<v Speaker 3>have you learned about the similarities some of these breakout

0:31:38.200 --> 0:31:39.360
<v Speaker 3>successes we've already seen.

0:31:40.600 --> 0:31:44.240
<v Speaker 17>Sure, yeah, so I think basically this is the fastest

0:31:44.320 --> 0:31:49.480
<v Speaker 17>innovation cycle we've seen across many like mobile, cloud, et cetera.

0:31:49.880 --> 0:31:52.440
<v Speaker 17>And so what really has to happen to create the

0:31:52.520 --> 0:31:57.600
<v Speaker 17>foundation for application innovators to move as quickly as they

0:31:57.640 --> 0:31:59.440
<v Speaker 17>want to as you need the infrastructure side to be

0:31:59.520 --> 0:32:01.600
<v Speaker 17>built out. So you've got kind of the brain, the

0:32:01.680 --> 0:32:04.240
<v Speaker 17>heart and soul and something like anthropic and then a

0:32:04.280 --> 0:32:07.960
<v Speaker 17>lot of surrounding tooling to get data into the model,

0:32:08.040 --> 0:32:11.200
<v Speaker 17>such as an unstructured or a clean lab or pine

0:32:11.280 --> 0:32:13.240
<v Speaker 17>cone which kind of help you curate and get data

0:32:13.480 --> 0:32:16.560
<v Speaker 17>into the model. So that kind of is well underway,

0:32:16.680 --> 0:32:18.280
<v Speaker 17>and we feel like we're at a kind of tipping

0:32:18.360 --> 0:32:21.600
<v Speaker 17>point where the infrastructure stack is pretty well solidified and

0:32:21.720 --> 0:32:24.040
<v Speaker 17>now we're really going to see a ten year innovation

0:32:24.200 --> 0:32:27.640
<v Speaker 17>cycle around applications that's going to move faster and faster,

0:32:27.720 --> 0:32:29.640
<v Speaker 17>and now that that tooling infrastructure is in place.

0:32:29.920 --> 0:32:31.080
<v Speaker 1>So what we really took a look.

0:32:30.960 --> 0:32:34.080
<v Speaker 17>At in this report is what are some of the

0:32:34.360 --> 0:32:37.400
<v Speaker 17>early breakout applications, what have they done differently? And so

0:32:37.520 --> 0:32:41.000
<v Speaker 17>we came up with the seven Golden rules. So for example,

0:32:41.360 --> 0:32:44.640
<v Speaker 17>things like having an almost infinite content loop. If you

0:32:44.680 --> 0:32:48.200
<v Speaker 17>think about a lot of applications, before you basically had

0:32:48.240 --> 0:32:53.480
<v Speaker 17>to have a designer, design creative for each potential campaign.

0:32:53.720 --> 0:32:55.800
<v Speaker 1>You would then test that, take it back, iterate.

0:32:56.040 --> 0:32:58.360
<v Speaker 17>The way generative AI works is it can make end

0:32:58.440 --> 0:33:01.440
<v Speaker 17>different campaigns and actually kind of close the loop and

0:33:01.560 --> 0:33:04.760
<v Speaker 17>have this constant feedback system. So one of the companies

0:33:04.800 --> 0:33:07.520
<v Speaker 17>that does that really well is a company called Typeface,

0:33:07.560 --> 0:33:12.400
<v Speaker 17>which is the former CTO of Adobe and based recreating

0:33:12.440 --> 0:33:13.600
<v Speaker 17>the Adobe Creative.

0:33:13.320 --> 0:33:18.920
<v Speaker 1>Cloud with generative AI. So that's one very concrete example that's.

0:33:18.760 --> 0:33:21.840
<v Speaker 3>Obviously one of your portfolio companies start to jump in there.

0:33:21.920 --> 0:33:26.200
<v Speaker 3>But what's so interesting is what sets that particular business

0:33:26.280 --> 0:33:30.280
<v Speaker 3>apart from others that you're pitched. I mean you also say, look,

0:33:30.320 --> 0:33:33.520
<v Speaker 3>you want to see within these AI apps target work

0:33:33.640 --> 0:33:36.400
<v Speaker 3>that is high value, high volume, or facing labor shortages.

0:33:36.480 --> 0:33:39.920
<v Speaker 3>So basically, where is AI going to have the biggest impact.

0:33:40.440 --> 0:33:42.000
<v Speaker 3>What are some of the winning formulas there?

0:33:43.200 --> 0:33:45.760
<v Speaker 1>Yeah, sure, so what you want to do? Basically, there's

0:33:45.800 --> 0:33:48.040
<v Speaker 1>two ways that an a generator model can work.

0:33:48.080 --> 0:33:50.000
<v Speaker 17>It can work as a kind of an assistant, call

0:33:50.080 --> 0:33:54.040
<v Speaker 17>that a copilot, where it makes a worker smarter, better,

0:33:54.160 --> 0:33:57.360
<v Speaker 17>more efficient at their job. And then sometimes it'll actually

0:33:57.400 --> 0:33:59.960
<v Speaker 17>be able to replace that job and allow a work

0:34:00.200 --> 0:34:03.440
<v Speaker 17>to do something else, like a higher value, higher skilled activity.

0:34:03.840 --> 0:34:06.440
<v Speaker 17>Things like customer service are a great example of that,

0:34:07.000 --> 0:34:09.439
<v Speaker 17>and you kind of look for these pattern based, high

0:34:09.520 --> 0:34:12.799
<v Speaker 17>volume workflows. On the other end of the spectrum, there

0:34:12.840 --> 0:34:17.400
<v Speaker 17>are these high value, lower maybe amount of people workflows

0:34:17.600 --> 0:34:20.160
<v Speaker 17>like let's say a paralegal who spends all this time

0:34:20.320 --> 0:34:24.000
<v Speaker 17>digging through documents and matching terms and things like that,

0:34:24.120 --> 0:34:26.200
<v Speaker 17>when they could really do the analytic work if a

0:34:26.280 --> 0:34:28.919
<v Speaker 17>system built that for them. So that's kind of what's

0:34:28.960 --> 0:34:32.000
<v Speaker 17>being reimagined here with general AI is how do you

0:34:32.080 --> 0:34:35.360
<v Speaker 17>kind of take the bulk work and allow workers to

0:34:35.480 --> 0:34:37.680
<v Speaker 17>do more higher value add activities.

0:34:37.719 --> 0:34:40.960
<v Speaker 4>On top of that, Matt, I'd like to discuss how

0:34:41.280 --> 0:34:44.800
<v Speaker 4>backward or forward looking your report is and how crowded

0:34:44.880 --> 0:34:47.640
<v Speaker 4>the field of activity is in this space, I would

0:34:47.640 --> 0:34:52.600
<v Speaker 4>say that. Caroline and I talk about companies and platforms

0:34:52.640 --> 0:34:58.319
<v Speaker 4>targeting developers and apps quite regularly, an example being Salesforce.

0:34:57.840 --> 0:34:58.680
<v Speaker 5>And the app Exchange.

0:34:58.760 --> 0:35:01.839
<v Speaker 4>Right, they have brought in generative AI layer to their

0:35:01.880 --> 0:35:02.880
<v Speaker 4>existing products.

0:35:03.200 --> 0:35:05.000
<v Speaker 5>Just how busy is it right now in what you

0:35:05.120 --> 0:35:05.840
<v Speaker 5>see happening?

0:35:07.280 --> 0:35:09.080
<v Speaker 1>Yeah, I mean it's extremely busy, right.

0:35:09.120 --> 0:35:11.640
<v Speaker 17>I mean so if you look even anecdotally at our

0:35:11.760 --> 0:35:15.600
<v Speaker 17>portfolio over fifty companies early half of last year, maybe

0:35:15.680 --> 0:35:18.480
<v Speaker 17>twenty percent of companies were doing something with the generative AI.

0:35:18.880 --> 0:35:20.880
<v Speaker 17>Now it's pushing up against one hundred percent, and I

0:35:20.920 --> 0:35:22.920
<v Speaker 17>think that's a good proxy for what's going on in

0:35:22.960 --> 0:35:26.600
<v Speaker 17>the market. If you're an existing software company, it's not

0:35:26.719 --> 0:35:29.320
<v Speaker 17>doing something with generative AI, you're falling behind.

0:35:29.400 --> 0:35:30.799
<v Speaker 1>So that's one wave. But frankly, the.

0:35:30.840 --> 0:35:33.440
<v Speaker 17>Wave that we're most excited about is people kind of

0:35:33.719 --> 0:35:37.000
<v Speaker 17>rebuilding from the get go now with new capabilities of

0:35:37.080 --> 0:35:39.880
<v Speaker 17>generative AI, like a couple that I mentioned, Because the

0:35:39.920 --> 0:35:43.200
<v Speaker 17>most creative and innovative way to disrupt applications is to

0:35:43.360 --> 0:35:45.800
<v Speaker 17>kind of start with a founding team that has the

0:35:45.920 --> 0:35:48.960
<v Speaker 17>DNA around AI and thinks about how to build the

0:35:49.120 --> 0:35:50.880
<v Speaker 17>application from the bottoms up.

0:35:50.920 --> 0:35:53.239
<v Speaker 1>That way, whenever you bolt something on later.

0:35:54.120 --> 0:35:56.120
<v Speaker 17>It's beneficial, it's additive, it's going to be great for

0:35:56.239 --> 0:35:59.080
<v Speaker 17>Salesforce and other companies. But when a new company comes

0:35:59.120 --> 0:36:01.920
<v Speaker 17>in and says, hey, you could just this application shouldn't

0:36:01.920 --> 0:36:04.040
<v Speaker 17>even exist without generative AI.

0:36:04.280 --> 0:36:06.160
<v Speaker 1>I can give you an example if you'd like.

0:36:06.239 --> 0:36:10.279
<v Speaker 17>For example, take a company like Elios, which is doing

0:36:10.600 --> 0:36:13.880
<v Speaker 17>kind of a generative AI for a therapist conversation, so

0:36:13.960 --> 0:36:16.800
<v Speaker 17>you can listen to the conversation, use your own model

0:36:17.080 --> 0:36:20.560
<v Speaker 17>to kind of parse that and give doctor notes as

0:36:20.600 --> 0:36:23.719
<v Speaker 17>well as a potential diagnosis, and use generat AI to

0:36:23.880 --> 0:36:27.160
<v Speaker 17>package that up and curate the content that comes.

0:36:26.960 --> 0:36:27.279
<v Speaker 4>Out of that.

0:36:27.400 --> 0:36:29.879
<v Speaker 17>These are kind of capabilities that a model was never

0:36:29.960 --> 0:36:33.360
<v Speaker 17>able to process before, nor synthesize it down as something

0:36:33.440 --> 0:36:36.040
<v Speaker 17>as precise and important as a diagnosis.

0:36:37.080 --> 0:36:40.320
<v Speaker 4>Matt, one of your bullets is build where incumbents aren't, can't,

0:36:40.520 --> 0:36:43.080
<v Speaker 4>or won't. But you know, in the history of Silicon

0:36:43.200 --> 0:36:47.719
<v Speaker 4>Valley often something gets built because a founder realizes there's

0:36:47.760 --> 0:36:49.960
<v Speaker 4>a problem because they were at another tech company where

0:36:50.000 --> 0:36:52.680
<v Speaker 4>they were frustrated by something. Do you have any sense

0:36:52.719 --> 0:36:56.160
<v Speaker 4>that the end markets actually know what their use cases

0:36:56.160 --> 0:36:58.680
<v Speaker 4>are yet how they're supposed to be using generative AI

0:36:59.080 --> 0:37:02.080
<v Speaker 4>in whatever it is the business does well.

0:37:02.080 --> 0:37:03.680
<v Speaker 17>I think that's kind of my point is, like, I

0:37:03.719 --> 0:37:07.080
<v Speaker 17>think everyone knows that generative AI is a great writer.

0:37:07.360 --> 0:37:09.960
<v Speaker 17>It can take all the content you have, synthesize it

0:37:10.080 --> 0:37:13.640
<v Speaker 17>down and help people get through it really quickly. If

0:37:13.680 --> 0:37:15.640
<v Speaker 17>you've got a graph or a set of output, you

0:37:15.719 --> 0:37:17.520
<v Speaker 17>can distill all that down and it makes it so

0:37:17.880 --> 0:37:21.000
<v Speaker 17>much more effective for the user to consume the output.

0:37:20.680 --> 0:37:23.240
<v Speaker 1>Of your application. But that's kind of table stakes.

0:37:23.320 --> 0:37:26.239
<v Speaker 17>The things that again we're most interested in is how

0:37:26.320 --> 0:37:30.200
<v Speaker 17>are you using that technology to the make the application

0:37:30.320 --> 0:37:35.400
<v Speaker 17>completely different than what the incumbent has done and in

0:37:35.520 --> 0:37:35.920
<v Speaker 17>the past.

0:37:35.960 --> 0:37:37.759
<v Speaker 1>And that's really the opportunity lies here.

0:37:38.120 --> 0:37:39.959
<v Speaker 17>Seeing a bunch of examples of that in the legal

0:37:40.080 --> 0:37:42.800
<v Speaker 17>vertical that's a fast mower out of the gate and

0:37:42.920 --> 0:37:46.120
<v Speaker 17>areas like that. I already mentioned customer service. So it's

0:37:46.239 --> 0:37:49.400
<v Speaker 17>just different when you say let's change the entire workflow

0:37:49.600 --> 0:37:52.560
<v Speaker 17>versus bolt on the capability after.

0:37:52.440 --> 0:37:57.280
<v Speaker 4>The fact Menlovench has partner Matt Murphy. Thank you very much, Caroline.

0:37:58.080 --> 0:38:00.120
<v Speaker 3>Yeah, let's have a quick check on talking to he

0:38:00.360 --> 0:38:03.800
<v Speaker 3>first up to Shiba is seeking to cut five thousand jobs,

0:38:03.880 --> 0:38:05.600
<v Speaker 3>or roughly ten percent of its head count in Japan.

0:38:05.880 --> 0:38:08.640
<v Speaker 6>That's what the NIK is currently reporting now. The move could.

0:38:08.480 --> 0:38:11.640
<v Speaker 3>Initiate one hu Jupan's biggest rounds of staff reductions this

0:38:11.760 --> 0:38:13.600
<v Speaker 3>year in a country that has some of the world's

0:38:13.600 --> 0:38:18.239
<v Speaker 3>strictest worker protection laws. Plus, Apple is wearing a possibility

0:38:18.280 --> 0:38:20.440
<v Speaker 3>of making some of its gadgets in Indonesia now, the

0:38:20.520 --> 0:38:23.480
<v Speaker 3>iPhone maker has been exploring production bases beyond its longtime

0:38:23.520 --> 0:38:26.640
<v Speaker 3>stronghold of China. Of course, that to minimize geopolitical risks

0:38:26.719 --> 0:38:29.680
<v Speaker 3>as tensions they rise between the world's two biggest superpowers.

0:38:30.200 --> 0:38:32.279
<v Speaker 6>And business software start up Rippling.

0:38:32.440 --> 0:38:34.400
<v Speaker 3>Well, it's a reporter that's in talks to raise new

0:38:34.480 --> 0:38:37.600
<v Speaker 3>funding and evaluation between thirteen and fourteen billion dollars and

0:38:37.719 --> 0:38:39.920
<v Speaker 3>the company we understand is planning to raise about five

0:38:39.960 --> 0:38:42.640
<v Speaker 3>hundred million in a deal. According to sources, the talks

0:38:42.680 --> 0:38:45.480
<v Speaker 3>with investors are ongoing, with plans to finalize terms within

0:38:45.560 --> 0:38:47.719
<v Speaker 3>a few weeks. It might be said that Rippling so

0:38:47.840 --> 0:38:57.920
<v Speaker 3>far has denied some of those reports. So the Bloomberg

0:38:58.080 --> 0:39:00.680
<v Speaker 3>NEF Summit, it's in full swing here in New York,

0:39:00.719 --> 0:39:04.440
<v Speaker 3>convenient leaders and energy, industry, transport, technology, finance, and government

0:39:04.880 --> 0:39:07.160
<v Speaker 3>to discuss just how to shape a cleaner and more

0:39:07.200 --> 0:39:10.120
<v Speaker 3>competitive future. I'm pleased to say we're speaking to a

0:39:10.239 --> 0:39:14.360
<v Speaker 3>person who's doing just that. Cuna, your CEO, Spante Fresh

0:39:14.480 --> 0:39:17.640
<v Speaker 3>Office panel from the summit and Claude. What's so interesting

0:39:17.800 --> 0:39:21.680
<v Speaker 3>is you are providing the technology, the filters, the ability

0:39:21.800 --> 0:39:27.160
<v Speaker 3>for companies such as say manufacturing makers to carbon capture.

0:39:27.400 --> 0:39:28.520
<v Speaker 8>How well.

0:39:28.600 --> 0:39:31.320
<v Speaker 18>We kind of focus on a problem that we stated

0:39:31.440 --> 0:39:34.840
<v Speaker 18>the one hundred and thirty five years ago by fellow

0:39:34.880 --> 0:39:38.440
<v Speaker 18>called Venti Ernius, and we took the name Vante similar

0:39:38.520 --> 0:39:41.920
<v Speaker 18>to Tesla Fuish on the EV. So we're unicorn and

0:39:42.120 --> 0:39:46.319
<v Speaker 18>focusing on carbon management by providing solution to avoid SEE

0:39:46.440 --> 0:39:48.640
<v Speaker 18>two going out in the atmosphere in the first place,

0:39:49.040 --> 0:39:54.640
<v Speaker 18>industrial factory, cement pulp on paper plants, or even removing

0:39:54.719 --> 0:39:57.640
<v Speaker 18>the SU two from the atmosphere that's sorry above the ground.

0:39:57.760 --> 0:39:59.880
<v Speaker 18>So we are working in that case with the company

0:40:00.040 --> 0:40:03.120
<v Speaker 18>called clim Works and we provide the filters inside the

0:40:03.239 --> 0:40:05.759
<v Speaker 18>contactor that they have to collect the C two from

0:40:05.800 --> 0:40:06.480
<v Speaker 18>the atmosphere.

0:40:07.320 --> 0:40:09.960
<v Speaker 3>You built a lot of partnerships, You're working with a

0:40:10.000 --> 0:40:13.400
<v Speaker 3>lot of companies and emitter is how long a timeframe

0:40:13.480 --> 0:40:16.600
<v Speaker 3>is it to build such you know, to manufacture to

0:40:16.719 --> 0:40:19.040
<v Speaker 3>actually get this going when you know that one of

0:40:19.080 --> 0:40:20.480
<v Speaker 3>your clients wants indeed.

0:40:20.200 --> 0:40:23.800
<v Speaker 18>Action this so for a legacy is that we're sixteen

0:40:23.880 --> 0:40:27.640
<v Speaker 18>years in research, in developing the technology, the product, product,

0:40:27.719 --> 0:40:30.880
<v Speaker 18>proving out in the market, and raising all these partnership

0:40:30.920 --> 0:40:33.520
<v Speaker 18>to get there. We've raised five hundred million dollars to

0:40:33.600 --> 0:40:35.800
<v Speaker 18>get to the point where we are, and we're currently

0:40:35.880 --> 0:40:38.560
<v Speaker 18>building a factory to make the filters that we'll be

0:40:38.600 --> 0:40:41.840
<v Speaker 18>able to equip the equivalent of ten project of a

0:40:41.960 --> 0:40:44.920
<v Speaker 18>million ton. The world needs to get to ten thousand

0:40:45.080 --> 0:40:47.359
<v Speaker 18>plant of a million ton in the next thirty years.

0:40:47.600 --> 0:40:47.799
<v Speaker 2>Wow.

0:40:47.920 --> 0:40:50.920
<v Speaker 18>So this is factory number one for us, and we're

0:40:50.960 --> 0:40:53.920
<v Speaker 18>almost there in terms of building up the capacity to

0:40:54.040 --> 0:40:57.120
<v Speaker 18>deliver projects. So now when you look at the specific

0:40:57.239 --> 0:41:00.400
<v Speaker 18>project with one a meter, normally it takes about almost

0:41:00.520 --> 0:41:04.600
<v Speaker 18>two years of discussions studies to evaluate how we're going

0:41:04.680 --> 0:41:08.160
<v Speaker 18>to integrate the capture project into let's say a cement

0:41:08.280 --> 0:41:10.680
<v Speaker 18>factory or a pulp and paper plant, and then it

0:41:10.760 --> 0:41:13.480
<v Speaker 18>takes two years to construct. So these projects are to

0:41:13.560 --> 0:41:16.480
<v Speaker 18>take a certain amount of time to deploy, and imagine,

0:41:16.520 --> 0:41:18.160
<v Speaker 18>you know, we need to deploy at the rate of

0:41:18.280 --> 0:41:21.440
<v Speaker 18>two capture plant every week for the next thirty.

0:41:21.239 --> 0:41:25.440
<v Speaker 4>Years clause your twenty twenty two Series E three hundred

0:41:25.440 --> 0:41:28.440
<v Speaker 4>and eighty million dollars led by Chevron's venture arm I

0:41:28.520 --> 0:41:31.279
<v Speaker 4>remember twenty twenty one, twenty twenty two, there was a

0:41:31.320 --> 0:41:34.840
<v Speaker 4>lot of energy, pardon the expression behind your industry and

0:41:34.920 --> 0:41:39.080
<v Speaker 4>financial backing. Had things slowed down in terms of corporate

0:41:39.160 --> 0:41:42.839
<v Speaker 4>interest and public commitment to what you're trying to do, well,

0:41:42.920 --> 0:41:43.040
<v Speaker 4>you have?

0:41:43.200 --> 0:41:46.319
<v Speaker 18>Your question is two fold one. The corporate commitment has

0:41:46.400 --> 0:41:50.400
<v Speaker 18>been there and it's growing as well. I think the

0:41:50.520 --> 0:41:53.640
<v Speaker 18>support we got from the audio gas industry and primarily

0:41:53.800 --> 0:41:58.360
<v Speaker 18>led by Chevron, is instrumental in us being here today

0:41:58.480 --> 0:42:02.400
<v Speaker 18>be able to talk about about management. But you know

0:42:02.520 --> 0:42:05.240
<v Speaker 18>what's missing now to grow the business at the scale

0:42:05.280 --> 0:42:07.760
<v Speaker 18>that needs to be done is we need the private

0:42:07.840 --> 0:42:11.160
<v Speaker 18>equity infrastructure funds to come to play, and so far

0:42:11.320 --> 0:42:14.120
<v Speaker 18>they never come to the value of debt of early

0:42:14.239 --> 0:42:17.960
<v Speaker 18>start startup companies and help them to deploy. So this

0:42:18.120 --> 0:42:20.560
<v Speaker 18>is something that we're working on these days to bring

0:42:20.719 --> 0:42:23.520
<v Speaker 18>the two together because it's the sum of the financial

0:42:23.880 --> 0:42:28.239
<v Speaker 18>sector plus the corporate that will make this thing work. Now,

0:42:28.800 --> 0:42:32.080
<v Speaker 18>from a consumer point of view or the public acceptance,

0:42:32.920 --> 0:42:35.800
<v Speaker 18>I think that it's a slow process. And the analogy

0:42:35.840 --> 0:42:39.200
<v Speaker 18>I can give you is we've been throwing see you

0:42:39.280 --> 0:42:41.760
<v Speaker 18>two in the atmosphere freely for the last one hundred

0:42:41.880 --> 0:42:46.239
<v Speaker 18>years with no consequences. In the minds of people, the

0:42:46.320 --> 0:42:48.719
<v Speaker 18>analogy is the waste management. At the same time you

0:42:48.760 --> 0:42:52.600
<v Speaker 18>know you're rubbish at home. The waste management somebody collects

0:42:52.640 --> 0:42:56.760
<v Speaker 18>and transport and recycle and store your rubbish. That's because

0:42:56.800 --> 0:42:59.399
<v Speaker 18>it smells and you can see it. You cannot see

0:42:59.480 --> 0:43:02.359
<v Speaker 18>and smell Coe two. So it's very difficult for people

0:43:02.480 --> 0:43:06.040
<v Speaker 18>to associate that the common management industry needs to exist.

0:43:06.719 --> 0:43:10.960
<v Speaker 18>And the price of collecting your rubbish is about one

0:43:11.040 --> 0:43:14.320
<v Speaker 18>hundred and fifty dollars per per ton of SE two equivalent.

0:43:14.480 --> 0:43:17.919
<v Speaker 6>So Claude, we will share more time. Claude Latuna, your CEO.

0:43:18.040 --> 0:43:20.600
<v Speaker 6>A savante that does it for this edition of BLOEMG

0:43:20.640 --> 0:43:21.120
<v Speaker 6>Technology