WEBVTT - US Chip Curbs Impact, Netflix and Tesla Earnings

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<v Speaker 1>From Marhard. We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed loved Love.

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<v Speaker 2>I'm Caroline Heide of Bloomberg's Weld headquarters in New York

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<v Speaker 2>and Omed Lovelow in San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up.

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<v Speaker 4>Chip makers.

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<v Speaker 2>They worn on the impact of the US curbs on

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<v Speaker 2>China and the stocks they drop.

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<v Speaker 4>Will break down everything you need to know.

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<v Speaker 5>Past we push ahead to earnings. Is Netflix and Tesla

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<v Speaker 5>prepared to report results after the bell and.

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<v Speaker 4>We returned to our New York Tech Week conversations.

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<v Speaker 2>We're going to be discussing the state of fintech and

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<v Speaker 2>search for talent here.

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<v Speaker 5>I think China is the key story, particularly in the

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<v Speaker 5>context of US technology export curbs to China.

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<v Speaker 3>I want to first go to Europe ASML company.

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<v Speaker 5>A maker of chip making equipment, and basically short story,

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<v Speaker 5>they had earnings not good, but the proportion of what

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<v Speaker 5>the orders they're getting is increasingly from China. Ironically, so

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<v Speaker 5>they've had to come out and address the latest expansion

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<v Speaker 5>of curbs. In twenty twenty three, around ten to fifteen

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<v Speaker 5>percent of their shipments are going to be impacted by

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<v Speaker 5>these new restrictions. We're going to talk to our analysts

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<v Speaker 5>about what is going on here in just a moment's time.

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<v Speaker 5>The more direct impact as well is on video dropping

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<v Speaker 5>for a second straight day on a two day basis.

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<v Speaker 5>We're heading for our biggest two day drop since December

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<v Speaker 5>twenty twenty two. And they issued an EIGHTK after market.

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<v Speaker 5>They reiterated what they told us on Bloomberg Technology Caroline,

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<v Speaker 5>which is, Yeah, no near term impact of financials, but

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<v Speaker 5>basically this is going to impact our ability to service

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<v Speaker 5>our existing customers and develop new products. That is a concern, particularly.

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<v Speaker 6>For in video.

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<v Speaker 5>Let's get more detail and analysis on this and bring

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<v Speaker 5>in at man deep scene of Bloomberg intelligen and so, Mandy,

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<v Speaker 5>what we're talking about here is specifically a eight hundred

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<v Speaker 5>and h eight hundred China specific chips being caught by

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<v Speaker 5>increased curves. How do you analyze that sort of tangible

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<v Speaker 5>impact on the industry in twenty twenty three.

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<v Speaker 7>Yeah, Look, I mean we know China revenue is about

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<v Speaker 7>twenty percent of in videos overall revenue, and there is

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<v Speaker 7>likely some pull forward of that revenue. Given this wasn't

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<v Speaker 7>a complete surprise, you know, we're talking about these curves,

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<v Speaker 7>and then I definitely think there was a pull forward element,

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<v Speaker 7>which is why the company is probably saying there won't

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<v Speaker 7>be any near term impact. But down the line, you

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<v Speaker 7>have to ask yourself. You know about the customer base

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<v Speaker 7>of n VIDEOS chips, and it's mostly the hyperscalers. Hyperscalers

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<v Speaker 7>are about fifty percent of all the buyers of these

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<v Speaker 7>GPUs right now, and there are two or three big

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<v Speaker 7>hyperscalers in China. So if they're not able to get

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<v Speaker 7>their chips for AI training, which is the primary use

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<v Speaker 7>case here, I think that will have an impact, but

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<v Speaker 7>near term impact probably is muted because of that pull

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<v Speaker 7>forward aspect.

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<v Speaker 4>Interesting muted.

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<v Speaker 2>We're down by some ten percent over the last thirty days,

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<v Speaker 2>and indeed, more broadly, we saw more than seventy billion

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<v Speaker 2>dollars shed from the overall well chip stocks. When you're

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<v Speaker 2>looking at the semiconductor indices, how are you anticipating China

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<v Speaker 2>US two tug back or some of the valuation run

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<v Speaker 2>up that we've had because it's such a mixed picture

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<v Speaker 2>for chip makers out there. More broadly, we're just talking

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<v Speaker 2>about a SML and woful numbers coming from them.

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<v Speaker 6>Yeah.

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<v Speaker 7>I mean in the case of Nvidia, you had a

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<v Speaker 7>streak of upward revisions and to the extent, the bogie

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<v Speaker 7>for twenty twenty five is eighty billion in data center revenue.

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<v Speaker 7>Now when you look at, you know, the incremental data

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<v Speaker 7>center spend right now, every dollar is going towards AI

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<v Speaker 7>chips and networking, and clearly that will lot change. So

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<v Speaker 7>some of that, you know, chips that in Vidia can't

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<v Speaker 7>sell to China will be taken by somebody else.

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<v Speaker 1>And I've no.

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<v Speaker 7>Doubt that the company's undershipping demand right now.

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<v Speaker 6>But that eight billion number.

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<v Speaker 7>It's a very high bogie because the overall data spend

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<v Speaker 7>center spend right now is close to fifty to sixty

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<v Speaker 7>billion dollars when you add all the capex amounts. So

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<v Speaker 7>clearly for in Video to reach that target in twenty

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<v Speaker 7>twenty five, they need demand from everywhere, including China, and

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<v Speaker 7>I think that's what is at stake here in terms

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<v Speaker 7>of what kind of impact it will have two years

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<v Speaker 7>down the line.

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<v Speaker 5>Mandy, this is a story if there is one. ASML

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<v Speaker 5>is the company which makes the machines that make the chips,

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<v Speaker 5>and its bookings plunged forty two percent in the courter

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<v Speaker 5>gone because there isn't demand broadly out there, but demand

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<v Speaker 5>from China doubled. In other words, proportion of orders for

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<v Speaker 5>chip making equipment from China doubled. And yet in that

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<v Speaker 5>same twenty four hour period this company learned about expanded

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<v Speaker 5>export curbs on chip making equipment. How complexes that explain

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<v Speaker 5>it to us?

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<v Speaker 7>I mean, look at the supply chains right now, So

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<v Speaker 7>the fabs are all based in Taiwan. The assembly is

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<v Speaker 7>being done in China, So clearly, you know, it's not

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<v Speaker 7>a surprise that your latest end equipment is being needed

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<v Speaker 7>in China because they want to, you know, keep doubling

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<v Speaker 7>down on their ability to assemble and manufacture a lot

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<v Speaker 7>of these chips. But at the same time, I feel

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<v Speaker 7>the big driver for a company like a SML, or

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<v Speaker 7>for that matter, the semicap equipment complex is the diversification

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<v Speaker 7>aspect geographically, and every government right now is trying to

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<v Speaker 7>make sure that they have local semi fab manufacturing and

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<v Speaker 7>they want to get those equipments in the region where

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<v Speaker 7>they these companies are operating. So long term, I do

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<v Speaker 7>think the drivers are there for equipment companies, especially eue s.

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<v Speaker 7>In the case of ASML, but near term dynamics, obviously

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<v Speaker 7>you can't take China out of the equation given all

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<v Speaker 7>the manufacturing is being done over there.

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<v Speaker 2>Fascinating to SMLC actually said our Chinese customers say, we

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<v Speaker 2>are happy to take the machines that others don't want

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<v Speaker 2>at the moment. It's just questions how long they can

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<v Speaker 2>actually be shipping them there, manly saying always great to

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<v Speaker 2>have them on of course from Bloomberg Intelligence and look,

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<v Speaker 2>this picture is a difficult one we have from the

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<v Speaker 2>CFO of ASML really talking about a very dynamic macro

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<v Speaker 2>picture coming from China. So let's get into that picture

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<v Speaker 2>a little bit more with Amy Selco, a partner at

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<v Speaker 2>all bright Stonebridge Group, which is a part of Denton's

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<v Speaker 2>Global Advisors. And your expertise is needed here because there

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<v Speaker 2>are so many clouds, whether it be due political making,

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<v Speaker 2>whether it's a US pushing against shipments to China, and

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<v Speaker 2>then there's of course the Chinese economy, which can't really

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<v Speaker 2>get a clear read on. Start with the economy, how

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<v Speaker 2>much do you think demand is there for technology from

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<v Speaker 2>international imports right now?

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<v Speaker 8>Oh, demand is huge because that international technology is so

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<v Speaker 8>important for China to continue to push its economic recovery.

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<v Speaker 8>Good news coming out from China, as you saw with

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<v Speaker 8>the Q three three numbers beating expectations four point nine

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<v Speaker 8>percent growth in Q three, but it is a slowing

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<v Speaker 8>economy and the recovery is far from certain if China

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<v Speaker 8>doesn't have access to that technology. Clearly investment is going

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<v Speaker 8>to continue to be in technology to try to have

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<v Speaker 8>indigenous technologies replace this uncertainty around access to global technology.

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<v Speaker 8>But in the very short term, of course, Chinese demand

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<v Speaker 8>is going to continue to be significant for these technology imports.

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<v Speaker 3>Amy, let's head over to China.

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<v Speaker 5>The Belton Road Forum of President G kind of made

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<v Speaker 5>this thinly veiled comment directed at the US. I'm sure

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<v Speaker 5>that downplaying basically how much emphasis you should look at

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<v Speaker 5>the progress and development of others and the risk of

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<v Speaker 5>economic interdependence. I'm assuming that President G was talking in

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<v Speaker 5>the context of technology and technology exports. Are you worried

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<v Speaker 5>about about the sort of posturing on both sides here?

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<v Speaker 8>Well, certainly, absolutely, for all the clients that we serve,

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<v Speaker 8>it is a significant worry about where are those geopolitical

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<v Speaker 8>risks going In the wake, of course of what's happening

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<v Speaker 8>in Gaza, right now, the fact that Russia and China,

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<v Speaker 8>China's leaders are together in Beijing right now, as the

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<v Speaker 8>President of course is in Israel, and then we'll come

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<v Speaker 8>back to the United States to welcome the leadership of

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<v Speaker 8>the European Union here. And so there are these discussions

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<v Speaker 8>about how geopolitics are impacting interdependence, and I think that

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<v Speaker 8>is what President She was getting at in that reference.

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<v Speaker 8>He of course is celebrating a ten year anniversary of

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<v Speaker 8>the Belton Road Initiative, welcoming foreign leaders from a number

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<v Speaker 8>of countries, representatives from more than one hundred and thirty countries,

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<v Speaker 8>and so trying to tout the relevance of China on

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<v Speaker 8>the geopolitical stage. At the same time that obviously the

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<v Speaker 8>US and China disagree on some fundamental issues. And while

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<v Speaker 8>communicating again and that's a very positive thing, we're all

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<v Speaker 8>waiting to see what that communication does. Will it stabilize

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<v Speaker 8>the relationship or is it only a temporary law as

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<v Speaker 8>the relationship continues to get more challenging because of these

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<v Speaker 8>export controls, because of the US and China disagreeing on

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<v Speaker 8>issues around Ukraine, around the war that Israel is waging

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<v Speaker 8>against Hamas right now, and other issues around economic interdependence,

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<v Speaker 8>something that she Jinping is worried about too. But again

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<v Speaker 8>in the short term, he needs that technology input from

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<v Speaker 8>American companies and others into China.

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<v Speaker 2>I don't think geopolitical risks could be more complex, Amy,

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<v Speaker 2>and you've put that very clearly to us. In that

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<v Speaker 2>global picture right now, talk to us about the clients

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<v Speaker 2>and companies that I just think of m CEO, for example,

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<v Speaker 2>a company recently listed here in the United States. It's

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<v Speaker 2>UK based, it's international in terms of its focus, and

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<v Speaker 2>the CEO reading has was at a conference yesterday just saying, look,

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<v Speaker 2>this is so difficult to be able to just cut

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<v Speaker 2>off the technology from flowing into the China, and it

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<v Speaker 2>says it's a very hard problem to solve just coming

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<v Speaker 2>up with a list of components that are deemed critical

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<v Speaker 2>and applying some sort of kind of guidance against it.

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<v Speaker 2>How difficult is it for your clients to navigate this

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<v Speaker 2>right now?

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<v Speaker 8>It is harder than ever, that's right, Caroline, because companies

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<v Speaker 8>are trying to gauge where are there truly national security

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<v Speaker 8>based restrictions that are impacting them because of policies engaging

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<v Speaker 8>as well as policies here in Washington, DC, and they

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<v Speaker 8>have to navigate both of those issues you're talking about

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<v Speaker 8>ASML video other companies that are worried about policy developments

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<v Speaker 8>that are going to in some ways constrain and otherwise

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<v Speaker 8>open up different opportunities for them to continue to grow.

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<v Speaker 8>And so in Beijing, the policy restrictions are are we

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<v Speaker 8>just in the short term able to continue to sell

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<v Speaker 8>our products until China indigenously innovates its own competition to

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<v Speaker 8>our products, and so you can't have confidence in the

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<v Speaker 8>long term outlook for continued growth in the China market.

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<v Speaker 8>And then of course in Washington, the impact of yesterday's announcements,

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<v Speaker 8>how will that impact these companies' abilities to continue to

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<v Speaker 8>gain global profits that they put into global innovation that

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<v Speaker 8>are derived out of the China market. And so, yes,

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<v Speaker 8>companies are trying to balance these issues of significant national

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<v Speaker 8>security concerns that are coming not just out of one country,

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<v Speaker 8>out of multiple capitals. I'm mentioning Beijing and of course Washington,

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<v Speaker 8>but we're hearing these same concerns coming out.

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<v Speaker 1>Of Brussels, Tokyo, elsewhere.

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<v Speaker 8>And so companies just have to balance these issues and

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<v Speaker 8>try to advocate for the need to continue to promote

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<v Speaker 8>sales that aren't impacting national security in global markets so

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<v Speaker 8>that they continue to innovate and remain global leaders like Nvidia,

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<v Speaker 8>ASML others really are.

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<v Speaker 6>Amy.

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<v Speaker 3>Let's end on the data.

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<v Speaker 5>You know, it's a critical consumer electronics market.

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<v Speaker 3>There are hyperscalers there.

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<v Speaker 5>GDP came in four point nine percent, just below Beijing's

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<v Speaker 5>five percent target. Give us your Chinese economy scorecard based

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<v Speaker 5>on that data.

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<v Speaker 8>Well, China is, I think, in some ways relieved that

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<v Speaker 8>they're seeing consumption resuming on the ground in China. Now

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<v Speaker 8>this is short term and nobody is finished being worried,

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<v Speaker 8>least of all Chinese policy makers who are going to

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<v Speaker 8>continue with stimulus in order to get this economy restart

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<v Speaker 8>again meet this around five growth target for this year,

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<v Speaker 8>looking at next year being even more challenging. But maybe

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<v Speaker 8>we're looking at December ed for what the Chinese government

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<v Speaker 8>says about continued stimulus in twenty twenty four. But just

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<v Speaker 8>a reminder, putting more investment into the economy just adds

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<v Speaker 8>that adds to that debt to GDP ratio, and so

0:13:20.600 --> 0:13:24.640
<v Speaker 8>it is not a long term solution. Chinese economists are

0:13:24.640 --> 0:13:28.520
<v Speaker 8>saying that so are international economists that China really needs

0:13:28.520 --> 0:13:33.479
<v Speaker 8>to empower its consumers to continue to spend by investing

0:13:33.800 --> 0:13:38.120
<v Speaker 8>in programs that will help consumers be less worried about

0:13:38.320 --> 0:13:41.199
<v Speaker 8>that outlook for the Chinese economy. That's going to be

0:13:41.280 --> 0:13:44.400
<v Speaker 8>a difficult equation for China to manage.

0:13:44.880 --> 0:13:49.200
<v Speaker 5>Amy Seliko Principleward Dentin's Global Advisors, thank you, of course.

0:13:49.280 --> 0:13:53.960
<v Speaker 5>Denton's an Albright Stonebridge Group property, thank you very much.

0:13:54.120 --> 0:13:55.680
<v Speaker 5>Coming up, we're going to have the latest now on

0:13:55.720 --> 0:13:58.720
<v Speaker 5>the Israel hamass war and the deadly blast of a

0:13:58.760 --> 0:14:00.559
<v Speaker 5>hospital in Gaza City last night.

0:14:00.800 --> 0:14:05.959
<v Speaker 2>Karen, such complexity, such concerns, and meanwhile, here in the

0:14:06.040 --> 0:14:09.319
<v Speaker 2>United States there is a second vote upon us for

0:14:10.160 --> 0:14:13.480
<v Speaker 2>Republican Jim Jordan, who is looking to be the next speaker.

0:14:13.920 --> 0:14:16.040
<v Speaker 2>Will keep you up to date with how that second

0:14:16.120 --> 0:14:17.800
<v Speaker 2>vote doesn't EGO, it's underway.

0:14:17.920 --> 0:14:32.760
<v Speaker 9>This is Blombo technology.

0:14:35.400 --> 0:14:39.359
<v Speaker 10>I was deeply said in an outraged by the explosion

0:14:39.360 --> 0:14:42.520
<v Speaker 10>at the hospital in Gaza yesterday, and based on what

0:14:42.560 --> 0:14:45.360
<v Speaker 10>I've seen in appears as though it was done by

0:14:45.360 --> 0:14:49.240
<v Speaker 10>the other team, not you. But there's a lot of

0:14:49.280 --> 0:14:51.960
<v Speaker 10>people out there not sure. So we've got a lot

0:14:51.960 --> 0:14:53.480
<v Speaker 10>of We're going to overcome a lot of things.

0:14:54.640 --> 0:14:57.600
<v Speaker 2>US President Joe Biden there expressing his outrage at the

0:14:57.600 --> 0:15:00.040
<v Speaker 2>explosion of a Gaza city hospital and Tuesday.

0:14:59.760 --> 0:15:01.280
<v Speaker 4>Night they killed hundreds.

0:15:01.680 --> 0:15:03.880
<v Speaker 2>Now, he was speaking during a bilateral meeting with Israedi

0:15:03.880 --> 0:15:06.880
<v Speaker 2>Prime Minister Benjamin Natanyahu in Tel Aviv. We want to

0:15:06.880 --> 0:15:10.760
<v Speaker 2>bring in now, Joe Matthew, of just how difficult diplomacy

0:15:10.880 --> 0:15:13.040
<v Speaker 2>always is, and it's just got an.

0:15:12.920 --> 0:15:13.960
<v Speaker 4>Awful lot tougher.

0:15:14.000 --> 0:15:15.520
<v Speaker 2>Can you just bring us up to speed with where

0:15:15.560 --> 0:15:17.880
<v Speaker 2>we are with his trip at the moment to the

0:15:17.880 --> 0:15:18.280
<v Speaker 2>Middle East.

0:15:19.320 --> 0:15:20.640
<v Speaker 1>Well, you just framed it perfectly.

0:15:20.680 --> 0:15:23.800
<v Speaker 11>This is an incredible test for President Biden. It just

0:15:23.840 --> 0:15:26.400
<v Speaker 11>got a lot harder in the last twenty four hours

0:15:26.520 --> 0:15:30.520
<v Speaker 11>the news of this blast. He's really taking a decided

0:15:30.600 --> 0:15:33.440
<v Speaker 11>posture on this to say that data from the US

0:15:33.480 --> 0:15:36.960
<v Speaker 11>Defense Department shows that this in fact was not the

0:15:37.000 --> 0:15:41.080
<v Speaker 11>responsibility of Israel, but was a missile sent from a

0:15:41.160 --> 0:15:43.760
<v Speaker 11>terror group in Gaza. He said that in a couple

0:15:43.760 --> 0:15:46.840
<v Speaker 11>of different occasions today. But let's remind ourselves this was

0:15:46.840 --> 0:15:49.520
<v Speaker 11>supposed to be a multi day trip throughout the region.

0:15:49.920 --> 0:15:52.440
<v Speaker 11>And following that blast at the hospital, a summit of

0:15:52.480 --> 0:15:55.240
<v Speaker 11>Arab leaders was canceled in Jordan. The President's going to

0:15:55.240 --> 0:15:58.600
<v Speaker 11>be heading back to Washington tonight, So the stakes here

0:15:58.680 --> 0:15:59.960
<v Speaker 11>are very high for Joe Biden.

0:16:00.720 --> 0:16:03.560
<v Speaker 2>The stakes are It was also announced one hundred million

0:16:03.600 --> 0:16:05.720
<v Speaker 2>dollars in aid to both Gaza and.

0:16:05.720 --> 0:16:06.480
<v Speaker 9>The West Bank.

0:16:06.960 --> 0:16:10.760
<v Speaker 2>Just tell us how ultimately we're able to see aid flow.

0:16:10.800 --> 0:16:13.480
<v Speaker 2>At the moment, when we're looking at a house that's

0:16:13.520 --> 0:16:16.240
<v Speaker 2>going through a second vote, try and find a speaker.

0:16:17.360 --> 0:16:19.680
<v Speaker 11>Well, it can't, is the fact, and that's why there's

0:16:19.960 --> 0:16:21.920
<v Speaker 11>a great sense of urgency behind this vote.

0:16:21.920 --> 0:16:23.240
<v Speaker 1>It just started a short time ago.

0:16:23.360 --> 0:16:25.480
<v Speaker 11>Jim Jordan again is up for a second round and

0:16:25.600 --> 0:16:28.160
<v Speaker 11>is not expected to win this round, and there are

0:16:28.240 --> 0:16:31.040
<v Speaker 11>questions about what happens after that. The White House is

0:16:31.040 --> 0:16:35.480
<v Speaker 11>putting together a massive supplemental budget request one hundred billion

0:16:35.560 --> 0:16:39.920
<v Speaker 11>dollars for not only Israel, but also Ukraine, Taiwan, and

0:16:40.040 --> 0:16:43.640
<v Speaker 11>border security to try to give lawmakers no opportunity to

0:16:43.720 --> 0:16:45.800
<v Speaker 11>vote no, because one of these things will be, of course,

0:16:45.840 --> 0:16:48.640
<v Speaker 11>if not more of them, an important element to any

0:16:48.720 --> 0:16:49.840
<v Speaker 11>Democrat or Republican.

0:16:49.880 --> 0:16:51.400
<v Speaker 1>But there's got to be a speaker.

0:16:51.440 --> 0:16:53.880
<v Speaker 11>And at this point right now, it's unclear who will

0:16:53.880 --> 0:16:54.800
<v Speaker 11>hold the gavel and when.

0:16:54.840 --> 0:16:55.560
<v Speaker 1>And I'll remind you.

0:16:55.640 --> 0:16:58.560
<v Speaker 11>One month from today is when the government is set

0:16:58.560 --> 0:17:01.280
<v Speaker 11>to shut down. That also can not be managed unless

0:17:01.320 --> 0:17:02.960
<v Speaker 11>this speaker fight is resolved.

0:17:03.320 --> 0:17:14.320
<v Speaker 2>Joe Matthew, we thank you so much of Bloomberg time

0:17:14.359 --> 0:17:16.679
<v Speaker 2>now for work shifting Look. It's where we take a

0:17:16.680 --> 0:17:18.880
<v Speaker 2>look at the changing landscape of the labor market amid

0:17:18.880 --> 0:17:22.399
<v Speaker 2>advancers and technology first up. Regulators in the European Union

0:17:22.440 --> 0:17:25.440
<v Speaker 2>are moling over stricter rules to monitor generator of AI.

0:17:25.600 --> 0:17:28.639
<v Speaker 2>It's a proposal seen by Bloomberg outlined a three tiered

0:17:28.640 --> 0:17:31.720
<v Speaker 2>approach classifying AI models and systems and the rules that

0:17:31.760 --> 0:17:34.040
<v Speaker 2>would apply Now, the EU is poised to become the

0:17:34.080 --> 0:17:38.720
<v Speaker 2>first Western government to place mandatory rules on artificial intelligence. Meanwhile,

0:17:38.720 --> 0:17:41.600
<v Speaker 2>AI startup Inflection AI wants to limit the role of

0:17:41.680 --> 0:17:45.160
<v Speaker 2>chatbots in voting in elections. PI to the company's chatpot

0:17:45.320 --> 0:17:48.199
<v Speaker 2>won't be allowed to advocate for any political candidate. The

0:17:48.240 --> 0:17:50.720
<v Speaker 2>company is hoping other firms will make their chatbots to

0:17:50.840 --> 0:17:55.320
<v Speaker 2>the same. Plus this, a whopping seventeen point nine billion

0:17:55.359 --> 0:17:58.400
<v Speaker 2>dollars has been poured into AI startups so far this year,

0:17:58.480 --> 0:18:01.280
<v Speaker 2>and according to Pitchbook data half A Bloomberg, the value

0:18:01.280 --> 0:18:04.280
<v Speaker 2>of funding for AI companies clim twenty seven percent globally

0:18:04.320 --> 0:18:07.880
<v Speaker 2>compared to thirty one percent dip in overall deals for startups.

0:18:07.880 --> 0:18:12.080
<v Speaker 5>Set all right, this is a newsletter that the world

0:18:12.080 --> 0:18:15.919
<v Speaker 5>pays attention to, celebrity bench, capitalist mark and Dreesen is

0:18:15.920 --> 0:18:20.919
<v Speaker 5>issuing a new manifesto to highlight how technology can advance humanities,

0:18:21.000 --> 0:18:23.840
<v Speaker 5>achievements and flaws. In a blog post that you published

0:18:23.840 --> 0:18:27.240
<v Speaker 5>earlier this week, and Dreesen says, quote, the only perpetual

0:18:27.359 --> 0:18:30.960
<v Speaker 5>source of growth is technology. Give us a real world

0:18:31.000 --> 0:18:34.439
<v Speaker 5>problem and we can in technology that will solve it.

0:18:34.960 --> 0:18:36.760
<v Speaker 5>Let's go deep on this and bring in Bloomberg News

0:18:36.880 --> 0:18:40.119
<v Speaker 5>VC reporter Katie Ruth. What I just said. It's just

0:18:40.320 --> 0:18:44.160
<v Speaker 5>true when in Dreason puts out one of these blog posts,

0:18:44.240 --> 0:18:48.760
<v Speaker 5>it shared endlessly on social media platforms and debated. Just

0:18:48.840 --> 0:18:53.879
<v Speaker 5>outline and Dresen's argument in this latest academic exercise.

0:18:54.640 --> 0:18:55.479
<v Speaker 6>Sure, yeah, you're right.

0:18:55.560 --> 0:18:58.080
<v Speaker 12>He's definitely good at getting attention. And he's done this

0:18:58.160 --> 0:19:00.480
<v Speaker 12>several times over the years. He's done one that was

0:19:00.520 --> 0:19:03.000
<v Speaker 12>called software is eating the World, he did one it's

0:19:03.000 --> 0:19:05.480
<v Speaker 12>called It's time to Build, and now he's done this one.

0:19:05.600 --> 0:19:09.439
<v Speaker 12>And you know, it's always a super bullish case for technology,

0:19:09.440 --> 0:19:12.399
<v Speaker 12>which makes sense. He is a technology investor in it

0:19:12.480 --> 0:19:16.000
<v Speaker 12>is his job to see the future and make these bets.

0:19:16.520 --> 0:19:21.159
<v Speaker 12>He always includes zingers and some very controversial statements in there,

0:19:21.200 --> 0:19:23.120
<v Speaker 12>which I think, of course help it get more attention.

0:19:23.240 --> 0:19:25.399
<v Speaker 12>I think at the end of the day, what you

0:19:25.400 --> 0:19:28.400
<v Speaker 12>should look at this is marketing. He's trying to get

0:19:28.440 --> 0:19:31.240
<v Speaker 12>attention for his firm and dres and Horowitz, and you

0:19:31.440 --> 0:19:34.439
<v Speaker 12>get an edge on some of these startup deals that

0:19:34.480 --> 0:19:35.560
<v Speaker 12>he's trying to get access to.

0:19:36.160 --> 0:19:39.240
<v Speaker 2>It's also the pushback against regulation, right, he's trying to

0:19:39.280 --> 0:19:42.760
<v Speaker 2>speak to policymakers with fifty two hundred words where he

0:19:42.840 --> 0:19:47.159
<v Speaker 2>says a deceleration in AI will cost lives. Do you

0:19:47.240 --> 0:19:51.200
<v Speaker 2>think it will in any way stoke policymakers to pull

0:19:51.240 --> 0:19:52.720
<v Speaker 2>back on the regulatory endeavors.

0:19:53.200 --> 0:19:56.520
<v Speaker 12>Well, he's certainly a leading voice in the venture capital industry,

0:19:56.520 --> 0:19:58.760
<v Speaker 12>and so if they're interested in hearing from the industry,

0:19:58.760 --> 0:19:59.520
<v Speaker 12>he's probably one of.

0:19:59.520 --> 0:20:00.480
<v Speaker 4>The people talk to.

0:20:00.680 --> 0:20:03.440
<v Speaker 12>But I'm sure they would talk to an array of perspectives.

0:20:03.480 --> 0:20:06.560
<v Speaker 12>I mean, he's always taken a more libertarian point of view.

0:20:06.640 --> 0:20:09.840
<v Speaker 12>Not everyone in the tech industry has the same political

0:20:09.880 --> 0:20:13.000
<v Speaker 12>philosophies as he does, but he's you know, he's on

0:20:13.040 --> 0:20:15.879
<v Speaker 12>the board of Facebook. He's always been kind of vocal

0:20:16.000 --> 0:20:20.400
<v Speaker 12>about being anti regulation, anti anyone interfering with anything that

0:20:20.440 --> 0:20:24.359
<v Speaker 12>the technologist want to do. Yeah, exactly, and so you know,

0:20:24.440 --> 0:20:25.040
<v Speaker 12>this is just.

0:20:25.520 --> 0:20:28.320
<v Speaker 4>Part of the course from Mark and drecent Okatie.

0:20:28.320 --> 0:20:30.680
<v Speaker 2>We've great to have such VC expertise in the house

0:20:30.720 --> 0:20:39.040
<v Speaker 2>today we thank him.

0:20:39.240 --> 0:20:40.640
<v Speaker 4>Welcome back to BlueBag Technology.

0:20:40.640 --> 0:20:42.720
<v Speaker 2>I'm Caroline had in New York and right here in

0:20:42.760 --> 0:20:45.439
<v Speaker 2>the Big Apple Well, all week long we're covering the

0:20:45.480 --> 0:20:48.560
<v Speaker 2>technology industry because it's Tech Week. Upon us, I'm pleased

0:20:48.560 --> 0:20:50.040
<v Speaker 2>to say we're now joined by one of the key

0:20:50.040 --> 0:20:52.159
<v Speaker 2>founders in the area who chooses to live and operate

0:20:52.200 --> 0:20:54.760
<v Speaker 2>have fintech business here in the city. Joining us is

0:20:54.800 --> 0:20:58.719
<v Speaker 2>Stephanie Kirkpatrick or I'm CEO, which is all about making

0:20:58.840 --> 0:21:00.800
<v Speaker 2>payments that much with the faster.

0:21:00.960 --> 0:21:02.480
<v Speaker 4>It's basically building upon fed.

0:21:02.600 --> 0:21:05.280
<v Speaker 2>Now, before we get into what you're building, why build

0:21:05.280 --> 0:21:07.280
<v Speaker 2>it here in New York? It feels like fintech is

0:21:07.320 --> 0:21:10.080
<v Speaker 2>an obvious choice when you think about the financial institutions here.

0:21:10.640 --> 0:21:13.159
<v Speaker 13>I mean, I had a huge opportunity to pick up

0:21:13.200 --> 0:21:14.920
<v Speaker 13>and move to New York a number of years ago

0:21:15.280 --> 0:21:18.400
<v Speaker 13>to Chase my passion about the intersection of financial services

0:21:18.400 --> 0:21:21.000
<v Speaker 13>in tech, and here we are as I set out

0:21:21.040 --> 0:21:23.600
<v Speaker 13>to found ORM. There's no better place in the world

0:21:24.119 --> 0:21:27.320
<v Speaker 13>to recruit diverse talent and to live in an ecosystem

0:21:27.359 --> 0:21:32.280
<v Speaker 13>where there's grit and tenacity and frankly opportunity in particular

0:21:32.359 --> 0:21:36.160
<v Speaker 13>in fintech with what we're building, and I admit every

0:21:36.160 --> 0:21:38.919
<v Speaker 13>time I see that New York skyline, I think, Wow.

0:21:39.080 --> 0:21:41.359
<v Speaker 2>Okay, so you talked about the opportunity in terms of

0:21:41.600 --> 0:21:44.040
<v Speaker 2>who wants your products and what sort of products they

0:21:44.040 --> 0:21:46.879
<v Speaker 2>want to be, because you've been at plenty of other startups.

0:21:46.880 --> 0:21:48.520
<v Speaker 2>I mean I think of Lenvest, that was a great

0:21:48.560 --> 0:21:50.560
<v Speaker 2>exit sold to another financial institution.

0:21:51.440 --> 0:21:53.320
<v Speaker 4>What did you see that needed to be fixed and

0:21:53.400 --> 0:21:54.120
<v Speaker 4>why was New York.

0:21:54.040 --> 0:21:54.679
<v Speaker 9>The place to do it?

0:21:55.080 --> 0:21:56.439
<v Speaker 1>Well, there's a really unique insight.

0:21:56.520 --> 0:21:57.880
<v Speaker 13>So let me tell you what ORM does, and then

0:21:57.960 --> 0:21:59.600
<v Speaker 13>let me tell you about the problem. We are this

0:21:59.640 --> 0:22:04.600
<v Speaker 13>simplest API for fast, reliable payments and now instant bank

0:22:04.640 --> 0:22:09.160
<v Speaker 13>account faircification, which we actually just launched right before Tech Week,

0:22:09.200 --> 0:22:12.560
<v Speaker 13>so it's exciting times. And when I was inside of

0:22:12.560 --> 0:22:15.159
<v Speaker 13>big financial services, I saw this huge problem, which is

0:22:15.200 --> 0:22:18.399
<v Speaker 13>time to money. More than half of Americans don't have

0:22:18.520 --> 0:22:20.920
<v Speaker 13>enough money in the case of emergency, and if they

0:22:20.960 --> 0:22:23.120
<v Speaker 13>do and it's a high yealed savings account or it's

0:22:23.119 --> 0:22:26.840
<v Speaker 13>a brokerage account on a Saturday when they have the emergency,

0:22:26.880 --> 0:22:27.919
<v Speaker 13>they can't get access to it.

0:22:27.920 --> 0:22:29.280
<v Speaker 4>I feel that's what Krypto was full.

0:22:29.920 --> 0:22:31.240
<v Speaker 1>Well, it turns out.

0:22:31.119 --> 0:22:33.720
<v Speaker 13>The most recent innovation is actually the ATM, which isn't

0:22:33.760 --> 0:22:37.199
<v Speaker 13>good enough. So with the advent of instant payments, we

0:22:37.240 --> 0:22:39.919
<v Speaker 13>think that it's important to rebuild the infrastructure, but all

0:22:39.920 --> 0:22:42.480
<v Speaker 13>of our financial services and banking products sit on top.

0:22:42.320 --> 0:22:44.160
<v Speaker 2>Of and so now you've got this new rail which

0:22:44.200 --> 0:22:46.320
<v Speaker 2>has been put forward by the Federal Reserve.

0:22:46.840 --> 0:22:48.280
<v Speaker 4>How does this compare How.

0:22:48.119 --> 0:22:52.000
<v Speaker 2>Does a financial technological ecosystem here in the US compared

0:22:52.040 --> 0:22:53.240
<v Speaker 2>to a broad at the moment.

0:22:53.520 --> 0:22:56.639
<v Speaker 13>Well, you know, we are behind, let's say, relative to

0:22:56.680 --> 0:22:59.520
<v Speaker 13>Europe and other areas where instant payments has been sort

0:22:59.560 --> 0:23:02.320
<v Speaker 13>of a normal or has recently been introduced, But we're

0:23:02.359 --> 0:23:02.880
<v Speaker 13>catching up.

0:23:03.160 --> 0:23:04.000
<v Speaker 6>What I love about what.

0:23:03.960 --> 0:23:06.080
<v Speaker 13>The FED has done is FED now and the instant

0:23:06.080 --> 0:23:08.200
<v Speaker 13>payments product, and what we've had now for a couple

0:23:08.240 --> 0:23:12.040
<v Speaker 13>of years with OURTP real time payments is the beginnings

0:23:12.119 --> 0:23:15.440
<v Speaker 13>of an opportunity for consumers and businesses alike to see

0:23:15.440 --> 0:23:19.280
<v Speaker 13>the advantages of something happening instantly. Right in our everyday lives,

0:23:19.320 --> 0:23:22.280
<v Speaker 13>most things are faster and instant. In our financial lives.

0:23:22.320 --> 0:23:25.320
<v Speaker 13>Everything is slow five days a week. Maybe if it

0:23:25.359 --> 0:23:28.040
<v Speaker 13>comes in before the cutoff on Friday, the transaction can happen.

0:23:28.280 --> 0:23:31.919
<v Speaker 13>That's just no longer possible to sustain. And so now

0:23:31.960 --> 0:23:34.359
<v Speaker 13>with FED, now you not only get the large top

0:23:34.400 --> 0:23:37.280
<v Speaker 13>two three four hundred banks through the fed's new instant

0:23:37.280 --> 0:23:40.800
<v Speaker 13>Payments product, you also get all of the coverage for smaller,

0:23:40.880 --> 0:23:45.399
<v Speaker 13>critically important, systemically important banks as well as community focus banks.

0:23:45.480 --> 0:23:48.320
<v Speaker 13>So now we're getting distribution of instant payments, and the

0:23:48.440 --> 0:23:50.920
<v Speaker 13>dynamic has changed around what you can do for the

0:23:50.960 --> 0:23:55.000
<v Speaker 13>American wallet when an insurance claim wages, any sort of

0:23:55.000 --> 0:23:57.919
<v Speaker 13>financial transaction can happen twenty four to seven, three sixty

0:23:57.960 --> 0:24:00.800
<v Speaker 13>five nights, holidays, weekends, as opposed to nine to five

0:24:00.840 --> 0:24:01.520
<v Speaker 13>banking hours.

0:24:01.640 --> 0:24:04.000
<v Speaker 2>And I just think about that crux point that we

0:24:04.040 --> 0:24:07.280
<v Speaker 2>saw back March thirteenth when we were concerned about the

0:24:07.320 --> 0:24:09.239
<v Speaker 2>Silicon Valley Bank and the rush to try and get

0:24:09.240 --> 0:24:11.680
<v Speaker 2>payments through then and there to that point, I mean,

0:24:11.680 --> 0:24:14.479
<v Speaker 2>what tumultuous twenty twenty three actually has been. I mean,

0:24:14.480 --> 0:24:16.600
<v Speaker 2>I can't believe it's only about six months since that

0:24:16.680 --> 0:24:20.200
<v Speaker 2>debarcle in the banking area for you, because you're launching

0:24:20.200 --> 0:24:21.960
<v Speaker 2>these new products, because you're seeing the sort of level

0:24:22.000 --> 0:24:22.520
<v Speaker 2>of innovation.

0:24:23.200 --> 0:24:24.320
<v Speaker 4>Do you have vcs knocking?

0:24:24.400 --> 0:24:26.159
<v Speaker 2>Do you have the new vcs that putting boots on

0:24:26.200 --> 0:24:27.800
<v Speaker 2>the ground here in New York City knocking?

0:24:28.040 --> 0:24:30.239
<v Speaker 13>Well, let me start by saying our first investors were

0:24:30.320 --> 0:24:31.919
<v Speaker 13>boots on the ground in New York before it was

0:24:31.960 --> 0:24:34.720
<v Speaker 13>popular to be in New York City. So I'm obviously

0:24:34.800 --> 0:24:37.760
<v Speaker 13>steadfast about believing in the ecosystem here. And yeah, there

0:24:37.760 --> 0:24:39.760
<v Speaker 13>are people knocking at the door, I think because the

0:24:39.800 --> 0:24:41.840
<v Speaker 13>importance of the problem and the job to be done

0:24:41.920 --> 0:24:45.120
<v Speaker 13>is huge. That said, I think fundraising is a very

0:24:45.160 --> 0:24:49.000
<v Speaker 13>specific thing and it shouldn't be just done casually. And

0:24:49.000 --> 0:24:51.240
<v Speaker 13>what I love about the current environment as there's time

0:24:51.320 --> 0:24:54.520
<v Speaker 13>now built in unlike twenty twenty twenty twenty one, where

0:24:54.520 --> 0:24:57.560
<v Speaker 13>you're deciding in a weekend between you and your investors,

0:24:57.600 --> 0:24:59.359
<v Speaker 13>you can make a decision about what this is going

0:24:59.400 --> 0:25:01.159
<v Speaker 13>to look like because you are signing up for a

0:25:01.320 --> 0:25:04.679
<v Speaker 13>very long term, lifelong relationship with people are going to

0:25:04.680 --> 0:25:07.040
<v Speaker 13>sit on your board, and we've endeavored to have our

0:25:07.080 --> 0:25:10.080
<v Speaker 13>board be at least fifty percent female. We've endeavored to

0:25:10.080 --> 0:25:13.560
<v Speaker 13>have our rounds focused on having representation for female and

0:25:13.640 --> 0:25:17.160
<v Speaker 13>underrepresented investors. And so I can't rush that process despite

0:25:17.200 --> 0:25:17.800
<v Speaker 13>interest in.

0:25:17.760 --> 0:25:18.800
<v Speaker 1>The current environment.

0:25:18.960 --> 0:25:22.200
<v Speaker 13>I think it's really important to establish incredibly good relationships

0:25:22.480 --> 0:25:25.640
<v Speaker 13>so that when you say, let's handshake and put capital

0:25:25.640 --> 0:25:28.240
<v Speaker 13>into a business that's growing, you know that you're doing

0:25:28.320 --> 0:25:30.160
<v Speaker 13>it in a way that's designed to fuel the next

0:25:30.240 --> 0:25:32.960
<v Speaker 13>chapter and not just because that's what the environment is

0:25:33.000 --> 0:25:33.760
<v Speaker 13>promoting today.

0:25:33.920 --> 0:25:36.240
<v Speaker 2>Okay, interesting, so you've got a real focus on a

0:25:36.320 --> 0:25:38.720
<v Speaker 2>diverse board. I'm sure you're therefore also got a real

0:25:38.760 --> 0:25:41.840
<v Speaker 2>focus on diverse talent. Is the talent from a tech

0:25:41.880 --> 0:25:44.040
<v Speaker 2>perspective more diverse here in New York?

0:25:44.200 --> 0:25:45.320
<v Speaker 4>Do you look to hire in New York?

0:25:45.359 --> 0:25:47.040
<v Speaker 2>Do you look to just be sort of agnolstick as

0:25:47.080 --> 0:25:47.480
<v Speaker 2>to where.

0:25:47.359 --> 0:25:50.000
<v Speaker 13>You people sit well ORAM is actually a COVID baby,

0:25:50.000 --> 0:25:52.919
<v Speaker 13>which means during all of our growth and fundraising, we

0:25:52.920 --> 0:25:54.919
<v Speaker 13>were doing that during pandemic time. So we do have

0:25:54.960 --> 0:25:57.359
<v Speaker 13>the advantage of having both a footprint here in New

0:25:57.440 --> 0:25:59.959
<v Speaker 13>York and the opportunity to think about our core value

0:26:00.080 --> 0:26:03.399
<v Speaker 13>of diversity of thought through diversity of people broadly across

0:26:03.440 --> 0:26:05.919
<v Speaker 13>the US. I think the diversity of talent here is

0:26:06.000 --> 0:26:08.320
<v Speaker 13>exceptional because people come to New York for some of

0:26:08.359 --> 0:26:11.720
<v Speaker 13>the world class engineering programs and design programs that are

0:26:11.720 --> 0:26:14.640
<v Speaker 13>based right here in Manhattan. And as a result of that,

0:26:14.680 --> 0:26:17.880
<v Speaker 13>you have not only talent that's rolled out of other successful,

0:26:18.280 --> 0:26:22.000
<v Speaker 13>well built companies that want to go back into earlier

0:26:22.040 --> 0:26:24.679
<v Speaker 13>stage companies, you also have an influx of folks with

0:26:24.840 --> 0:26:28.240
<v Speaker 13>engineering talent coming out of the education system. And because

0:26:28.280 --> 0:26:30.840
<v Speaker 13>New York is already such a diverse place, that naturally

0:26:30.880 --> 0:26:34.240
<v Speaker 13>creates a population of opportunity. But we wouldn't I think

0:26:34.240 --> 0:26:36.920
<v Speaker 13>we would be remiss in not looking broadly where we

0:26:36.960 --> 0:26:39.199
<v Speaker 13>can find the most diverse talent to build frankly, the

0:26:39.200 --> 0:26:41.280
<v Speaker 13>best team, and that doesn't always have to be from

0:26:41.320 --> 0:26:46.960
<v Speaker 13>Stanford or Harvard. Diversity and obviously incredible talent comes from everywhere.

0:26:47.320 --> 0:26:49.600
<v Speaker 2>Well said Stephanie, it is great to have you here

0:26:49.640 --> 0:26:51.400
<v Speaker 2>in the building. She's got a whole load of other

0:26:51.440 --> 0:26:53.399
<v Speaker 2>events to run off to. We thank you for it,

0:26:53.440 --> 0:26:56.720
<v Speaker 2>Stephanie Kirkpatrick of AORAM great to get some fintech perspective

0:26:56.720 --> 0:26:58.640
<v Speaker 2>there and talent perspective, and we want to dig into

0:26:58.640 --> 0:27:00.960
<v Speaker 2>that angle a little bit more now because Spaniel Goodell

0:27:01.080 --> 0:27:04.359
<v Speaker 2>is with US Chief Economist and indeed's hiring lab leading

0:27:04.440 --> 0:27:07.200
<v Speaker 2>hiring platform, and I want to really get your assessment

0:27:07.240 --> 0:27:10.080
<v Speaker 2>of what the talent pool looks like here in New York,

0:27:10.080 --> 0:27:14.000
<v Speaker 2>in particular, how big an ecosystem, a bigger pool of

0:27:14.160 --> 0:27:17.159
<v Speaker 2>tech jobs is it compared to the industries.

0:27:17.800 --> 0:27:21.439
<v Speaker 14>You know, overall. I think New York is unique in

0:27:21.480 --> 0:27:24.080
<v Speaker 14>that has a larger sheriff tech jobs than we're seeing

0:27:24.560 --> 0:27:27.400
<v Speaker 14>for the nation as a whole, roughly double. But keep

0:27:27.440 --> 0:27:29.639
<v Speaker 14>in mind tech jobs still make up a relatively small

0:27:29.680 --> 0:27:32.600
<v Speaker 14>percentage of overall jobs, and New York roughly five percent

0:27:32.640 --> 0:27:33.280
<v Speaker 14>of all jobs.

0:27:34.800 --> 0:27:41.040
<v Speaker 5>Spaniel AI has had a pretty dramatic impact on cities

0:27:41.080 --> 0:27:43.439
<v Speaker 5>around the world, frankly, you know, from a sort of

0:27:43.440 --> 0:27:46.840
<v Speaker 5>wealth creation standpoint, job at creator standpoint, Caroline and I

0:27:46.920 --> 0:27:49.200
<v Speaker 5>sit there and look at some of the job postings

0:27:49.720 --> 0:27:52.960
<v Speaker 5>and the salaries on offer here in the Bay Area

0:27:53.000 --> 0:27:55.000
<v Speaker 5>as an example, do you see that happening in New

0:27:55.080 --> 0:27:57.879
<v Speaker 5>York as well, where there is a fight for talent and.

0:27:59.359 --> 0:28:00.760
<v Speaker 3>They're paying over the noise for it.

0:28:03.320 --> 0:28:06.120
<v Speaker 14>Yes, and no, you know, it's a good economists, I'll

0:28:06.119 --> 0:28:08.840
<v Speaker 14>tell you the one end. On the other hand, I

0:28:08.840 --> 0:28:11.920
<v Speaker 14>think taking a step back and looking at tech as

0:28:11.960 --> 0:28:14.920
<v Speaker 14>a you know, as a category as a whole. There, we,

0:28:15.040 --> 0:28:18.399
<v Speaker 14>particularly in New York, saw this extreme boom bust development happening.

0:28:18.440 --> 0:28:20.639
<v Speaker 14>Right So, we saw during the pandemic a lot of

0:28:20.680 --> 0:28:25.560
<v Speaker 14>tech companies hiring fiercely and demand for tech jobs was

0:28:25.720 --> 0:28:27.440
<v Speaker 14>very high. We saw that in R and D job

0:28:27.480 --> 0:28:31.199
<v Speaker 14>postings and right around you know, early twenty twenty two,

0:28:31.280 --> 0:28:33.920
<v Speaker 14>we saw that demand really start to scale back, and

0:28:34.040 --> 0:28:37.320
<v Speaker 14>now tech companies have right scaled. We've seen a lot

0:28:37.359 --> 0:28:39.280
<v Speaker 14>of action on the front, a lot of headlines where

0:28:39.520 --> 0:28:43.400
<v Speaker 14>tech companies are going through layoffs and that particularly hits

0:28:43.960 --> 0:28:48.280
<v Speaker 14>you know, software developers, engineers out there. And with that,

0:28:48.360 --> 0:28:51.600
<v Speaker 14>we've seen actually job postings, particularly in the New York

0:28:51.640 --> 0:28:55.000
<v Speaker 14>metro area, really take a step back. Demand has really

0:28:55.000 --> 0:28:57.440
<v Speaker 14>come down quite a bit, and now we're back to

0:28:58.760 --> 0:29:03.040
<v Speaker 14>below pre pandemic levels. We're actually thirty percent below in

0:29:03.120 --> 0:29:06.680
<v Speaker 14>terms of job postings in the New York metro area

0:29:06.840 --> 0:29:10.080
<v Speaker 14>to where we were early twenty twenty. So we've taken

0:29:10.080 --> 0:29:14.320
<v Speaker 14>a distinct tech step back on tech in New York, however,

0:29:14.360 --> 0:29:16.680
<v Speaker 14>and this is a big however, you know what you're

0:29:16.720 --> 0:29:20.440
<v Speaker 14>talking about in terms of GENAI jobs, they're really booming

0:29:20.760 --> 0:29:22.600
<v Speaker 14>what we've seen there, and we've just came out with

0:29:23.040 --> 0:29:25.240
<v Speaker 14>a bunch of research. We have a GENAI tracker that

0:29:25.280 --> 0:29:29.200
<v Speaker 14>we published and we look at jobs that's you know,

0:29:29.320 --> 0:29:33.320
<v Speaker 14>really demand GENAI skills. So think about machine learning engineers,

0:29:33.600 --> 0:29:36.600
<v Speaker 14>data scientists that can work with these algorithms for large

0:29:36.680 --> 0:29:39.720
<v Speaker 14>language models and so forth. And there you see, off

0:29:39.760 --> 0:29:43.560
<v Speaker 14>of a very small base, tremendous growth that you're really

0:29:43.800 --> 0:29:46.160
<v Speaker 14>starting to see. There's a lot of demand there. And yes,

0:29:46.160 --> 0:29:49.160
<v Speaker 14>you're absolutely right. Those jobs are getting paid very well,

0:29:49.480 --> 0:29:52.040
<v Speaker 14>and there's a small pool of people that have these

0:29:52.080 --> 0:29:54.480
<v Speaker 14>skills to be able to work with these models, and

0:29:54.520 --> 0:29:56.160
<v Speaker 14>they're in very high demand right now.

0:29:57.240 --> 0:30:00.280
<v Speaker 5>Spendier, our last guest, brought the thin tech perspective and

0:30:00.320 --> 0:30:03.239
<v Speaker 5>that that's an industry that we do associate with New

0:30:03.360 --> 0:30:06.960
<v Speaker 5>York given the sort of legacy finance industry there, But

0:30:07.080 --> 0:30:10.120
<v Speaker 5>in which corner of the technology sector is the highest

0:30:10.120 --> 0:30:13.240
<v Speaker 5>concentration of New York or East Coast jobs.

0:30:14.440 --> 0:30:16.960
<v Speaker 14>You know, we're seeing, particularly in New York, we're seeing

0:30:17.640 --> 0:30:20.960
<v Speaker 14>a high concentration just overall in software development and full

0:30:21.000 --> 0:30:24.200
<v Speaker 14>stack engineers, and we're starting to see that pick up

0:30:24.280 --> 0:30:29.040
<v Speaker 14>in GENAI type type jobs. And of course New York

0:30:29.400 --> 0:30:31.880
<v Speaker 14>has a lot of the fintech in there as well,

0:30:31.920 --> 0:30:34.600
<v Speaker 14>given that it's New York, so we do see that

0:30:34.680 --> 0:30:38.920
<v Speaker 14>concentration there. But it's worth noting that remote work has

0:30:38.920 --> 0:30:41.400
<v Speaker 14>really played a role here as well, because we have

0:30:41.520 --> 0:30:44.280
<v Speaker 14>seen some dilution on that front, right because now the

0:30:44.360 --> 0:30:48.800
<v Speaker 14>companies particular that are you know, have multiple you know,

0:30:48.920 --> 0:30:53.120
<v Speaker 14>bases around the country, are able to diversify their workforce

0:30:53.440 --> 0:30:56.719
<v Speaker 14>and also hire people in other locations and have them

0:30:56.760 --> 0:30:59.400
<v Speaker 14>work from home and have their nearest office speak relatively

0:30:59.440 --> 0:31:02.480
<v Speaker 14>close and dial into important things are happening in New York.

0:31:02.560 --> 0:31:04.920
<v Speaker 14>So partically on the tech front, we see that the

0:31:04.920 --> 0:31:07.520
<v Speaker 14>share of remote jobs is very high and that has

0:31:07.560 --> 0:31:10.200
<v Speaker 14>that dilution effect happening with that as well.

0:31:10.360 --> 0:31:13.400
<v Speaker 2>Espania, I know you have an economist hat, but I'm

0:31:13.480 --> 0:31:17.000
<v Speaker 2>interested in your regulatory take, if you're read in on

0:31:17.040 --> 0:31:19.719
<v Speaker 2>the idea that New York has in many ways sort

0:31:19.760 --> 0:31:22.600
<v Speaker 2>of try to lead the charge on regulating around the

0:31:22.680 --> 0:31:26.360
<v Speaker 2>youth of AI in hiring and ensuring that there isn't

0:31:26.360 --> 0:31:29.200
<v Speaker 2>bias built into the system and that was I think

0:31:29.880 --> 0:31:33.360
<v Speaker 2>brought in in April. How is that changing the landscape

0:31:33.400 --> 0:31:35.640
<v Speaker 2>do you think for hiring here in New York?

0:31:36.840 --> 0:31:40.160
<v Speaker 14>You know, I think it's too early to tell exactly what,

0:31:41.080 --> 0:31:45.400
<v Speaker 14>you know, how we integrate these new technologies, these new tools,

0:31:45.480 --> 0:31:49.000
<v Speaker 14>because they're constantly evolving. How companies are using them as

0:31:49.080 --> 0:31:53.960
<v Speaker 14>constantly evolving. And I do think that it's incredibly important

0:31:53.960 --> 0:31:56.200
<v Speaker 14>to think about bias and how we.

0:31:56.240 --> 0:31:57.000
<v Speaker 3>Use these tools.

0:31:57.040 --> 0:32:00.600
<v Speaker 14>And you know, it's we often think about of AI

0:32:00.720 --> 0:32:03.760
<v Speaker 14>is this own entity that it's being imposed on us

0:32:03.960 --> 0:32:05.720
<v Speaker 14>and we don't know what to do with it. The

0:32:06.000 --> 0:32:07.920
<v Speaker 14>good news is that we have all the control here.

0:32:07.960 --> 0:32:11.360
<v Speaker 14>We're able to figure out how we want to apply it,

0:32:11.400 --> 0:32:13.520
<v Speaker 14>where we want to apply it, and make sure it's

0:32:13.840 --> 0:32:18.680
<v Speaker 14>applied in a fair and equal way across different industries,

0:32:18.720 --> 0:32:21.360
<v Speaker 14>across different people, across different jobs. And you know, from

0:32:21.360 --> 0:32:24.960
<v Speaker 14>a policy perspective, that's really important, and now is the

0:32:25.000 --> 0:32:27.840
<v Speaker 14>time to start thinking about these issues so that we

0:32:27.920 --> 0:32:32.440
<v Speaker 14>can properly, you know, really use these tools to their

0:32:32.480 --> 0:32:35.400
<v Speaker 14>greatest advantage without causing additional issues.

0:32:35.880 --> 0:32:38.480
<v Speaker 2>It'spania really great to get your take, and we look

0:32:38.880 --> 0:32:41.440
<v Speaker 2>into that data that you provided on jen AI and

0:32:41.520 --> 0:32:44.000
<v Speaker 2>jobs with thank you Spenn and Goodell to indeed chief

0:32:44.000 --> 0:32:46.320
<v Speaker 2>economist and what for got coming up?

0:32:47.000 --> 0:32:49.240
<v Speaker 5>Yeah, well, technology jobs has been one of the stories

0:32:49.240 --> 0:32:51.880
<v Speaker 5>of the year. Another has been Tesla's shares doubling in

0:32:51.920 --> 0:32:54.120
<v Speaker 5>twenty twenty three. We're going to break down what's watching

0:32:54.200 --> 0:32:57.720
<v Speaker 5>Tesla's upcoming earnings with former board member Steve Wesley from

0:32:57.760 --> 0:33:00.000
<v Speaker 5>the Wesley Group. That's coming up next. This has been

0:33:00.040 --> 0:33:11.280
<v Speaker 5>Burg Technology.

0:33:17.000 --> 0:33:18.560
<v Speaker 4>Let's get into tech earnings land.

0:33:18.640 --> 0:33:21.400
<v Speaker 2>Now we've got Netflix reporting today after the market closed.

0:33:21.480 --> 0:33:23.600
<v Speaker 2>So much to monitor here from the company's push into

0:33:23.640 --> 0:33:26.760
<v Speaker 2>video games, the writers strike that's impacted all the Hollywood

0:33:26.760 --> 0:33:29.720
<v Speaker 2>of course, and still look, the co CEO, Ted Surroundos

0:33:29.760 --> 0:33:31.600
<v Speaker 2>thinks Netflix has some good days ahead.

0:33:31.600 --> 0:33:32.240
<v Speaker 9>Just take a listen.

0:33:33.080 --> 0:33:35.200
<v Speaker 15>We've a ton of room to grow revenue from here,

0:33:35.400 --> 0:33:39.320
<v Speaker 15>and I would say that we're pretty underpriced based on

0:33:39.600 --> 0:33:42.000
<v Speaker 15>those kind of statistics of ten percent of screen time

0:33:42.040 --> 0:33:43.200
<v Speaker 15>and five percent of revenue.

0:33:43.440 --> 0:33:45.360
<v Speaker 2>That was, of course at last weeks Bloomberg screen Time

0:33:45.400 --> 0:33:47.560
<v Speaker 2>event in La where Ted Surrandos sat down with our

0:33:47.640 --> 0:33:48.040
<v Speaker 2>very own.

0:33:48.000 --> 0:33:50.840
<v Speaker 4>Luca Shore Companies to say, joins us now, and so

0:33:50.920 --> 0:33:52.760
<v Speaker 4>that room to run that revenue push. Are we going

0:33:52.760 --> 0:33:53.480
<v Speaker 4>to see at this quarter?

0:33:54.880 --> 0:33:56.840
<v Speaker 6>Well, we'll find out in a few hours.

0:33:56.840 --> 0:33:59.760
<v Speaker 16>Obviously, they have spent much of this year instituting a

0:33:59.800 --> 0:34:02.360
<v Speaker 16>roleing out two of their big news strategies. That's their

0:34:02.400 --> 0:34:05.760
<v Speaker 16>advertising tier, which creates a lower priced option for some

0:34:05.800 --> 0:34:09.759
<v Speaker 16>cost sensitive consumers, and the crackdown on password sharing, which

0:34:09.760 --> 0:34:11.720
<v Speaker 16>amounts to a price increase for a lot of people.

0:34:12.040 --> 0:34:14.600
<v Speaker 16>You know, One question on a lot of investors' minds

0:34:14.880 --> 0:34:16.680
<v Speaker 16>and frank with a lot of customers minds, is whether

0:34:16.719 --> 0:34:18.960
<v Speaker 16>Netflix is going to raise prices for its basic tier.

0:34:19.000 --> 0:34:21.359
<v Speaker 6>Again, there's been some reporting to suggest they will.

0:34:21.440 --> 0:34:24.239
<v Speaker 16>The executives have suggested as much as well. That's sort

0:34:24.239 --> 0:34:25.960
<v Speaker 16>of what Ted surround Us I think was getting at

0:34:26.000 --> 0:34:29.839
<v Speaker 16>there when he said that the company or they are underpriced.

0:34:30.160 --> 0:34:32.919
<v Speaker 16>Whether they'll announce that after earnings today remains to be seen.

0:34:34.120 --> 0:34:37.200
<v Speaker 5>And Lucas that posted a perspective the ad supporting tier

0:34:37.360 --> 0:34:41.200
<v Speaker 5>right because it will inform that decision on raising prices,

0:34:41.280 --> 0:34:44.640
<v Speaker 5>And there seems to be a micro focus on Netflix's

0:34:44.680 --> 0:34:48.279
<v Speaker 5>ability right now to sell commercials and feed its ads

0:34:48.280 --> 0:34:49.000
<v Speaker 5>supported tier.

0:34:50.200 --> 0:34:52.480
<v Speaker 16>Yeah, well, we've just gone through or I think we're

0:34:52.480 --> 0:34:54.959
<v Speaker 16>in the middle of advertising week in New York.

0:34:55.640 --> 0:34:57.480
<v Speaker 6>One of their senior advertising executives.

0:34:57.560 --> 0:35:00.640
<v Speaker 16>Peter Naylor, who came from Snap and was pre at Hulu,

0:35:00.760 --> 0:35:03.920
<v Speaker 16>spoke and unveiled some new features, And I think the

0:35:04.000 --> 0:35:06.000
<v Speaker 16>challenge for them in advertising right now is they just

0:35:06.000 --> 0:35:08.160
<v Speaker 16>don't have a lot of scale. They've taken a different

0:35:08.160 --> 0:35:10.600
<v Speaker 16>approach from from Disney and others.

0:35:10.840 --> 0:35:12.480
<v Speaker 6>You know, they have made it an opt in.

0:35:14.040 --> 0:35:16.480
<v Speaker 16>Kind of tier, which means you can choose to sign

0:35:16.600 --> 0:35:18.960
<v Speaker 16>up for it, but existing customers see no change in

0:35:18.960 --> 0:35:21.839
<v Speaker 16>their pricing. And Netflix hasn't been growing fast enough to

0:35:21.840 --> 0:35:23.520
<v Speaker 16>add a ton of new customers to it.

0:35:24.160 --> 0:35:25.440
<v Speaker 6>But their approach is I.

0:35:25.400 --> 0:35:28.440
<v Speaker 16>Would say more customer or consumer friendly than most of

0:35:28.480 --> 0:35:29.000
<v Speaker 16>their peers.

0:35:29.239 --> 0:35:31.920
<v Speaker 2>What about the gaming landscape, because this was an interesting

0:35:31.960 --> 0:35:33.439
<v Speaker 2>area a focus for investors too.

0:35:34.600 --> 0:35:36.720
<v Speaker 6>You know, it's it still feels very early.

0:35:36.920 --> 0:35:38.719
<v Speaker 16>There was a pretty good piece in the Wall Street

0:35:38.800 --> 0:35:41.680
<v Speaker 16>Journal earlier this week looking at the kind of the

0:35:41.680 --> 0:35:45.839
<v Speaker 16>state of things with they're gaming. They've commissioned a ton

0:35:45.880 --> 0:35:48.759
<v Speaker 16>of games, They've released a lot of games. We have

0:35:48.840 --> 0:35:51.400
<v Speaker 16>yet to hear of any Netflix game that's been a

0:35:51.440 --> 0:35:54.520
<v Speaker 16>big breakout. They've been very cautious in their language around it,

0:35:54.600 --> 0:35:57.160
<v Speaker 16>you know, talking a lot about this sort of walk,

0:35:57.280 --> 0:36:00.680
<v Speaker 16>crawl run language that they like to use guesses that

0:36:01.200 --> 0:36:03.600
<v Speaker 16>we're still a few years away from seeing anything meaningful

0:36:03.600 --> 0:36:04.480
<v Speaker 16>from them in games.

0:36:06.080 --> 0:36:08.120
<v Speaker 5>All right, bloom Beerswig for sure, thank you very much.

0:36:08.160 --> 0:36:11.000
<v Speaker 5>The other big name after market is Tesla. The stockdown

0:36:11.080 --> 0:36:13.799
<v Speaker 5>four percent in the session, but remember it's up more

0:36:13.800 --> 0:36:18.280
<v Speaker 5>than one hundred percent year today. Tesla's margins rapidly eroding,

0:36:18.719 --> 0:36:22.560
<v Speaker 5>raising doubts about the viability of maintaining its sales growth

0:36:22.600 --> 0:36:25.520
<v Speaker 5>after the TV makers started waging that price for I

0:36:25.520 --> 0:36:28.320
<v Speaker 5>want to bring in Steve Wesley, Wesley Group managing partner,

0:36:28.360 --> 0:36:31.200
<v Speaker 5>but also of course a former Tesla board member. Steve

0:36:31.200 --> 0:36:34.800
<v Speaker 5>the equation for Tesla has been really simple. They're happy

0:36:34.800 --> 0:36:39.040
<v Speaker 5>to sacrifice the bottom line, cut prices, impact margins, but

0:36:39.200 --> 0:36:40.560
<v Speaker 5>maintain fifty percent.

0:36:40.320 --> 0:36:42.040
<v Speaker 3>Annual growth growth.

0:36:42.320 --> 0:36:46.319
<v Speaker 5>The question for investors is how much profit erosion they're

0:36:46.320 --> 0:36:47.080
<v Speaker 5>willing to take?

0:36:47.520 --> 0:36:48.759
<v Speaker 3>What do you think The answer is?

0:36:50.400 --> 0:36:52.960
<v Speaker 17>All right, now, they're just grabbing market share, so it's

0:36:53.000 --> 0:36:55.239
<v Speaker 17>a slow corner. They delivered four hundred and thirty five

0:36:55.239 --> 0:36:57.800
<v Speaker 17>thousand vehicles, down from a record for sixty six and

0:36:57.880 --> 0:37:00.239
<v Speaker 17>Q two twenty four point three billion in rev new

0:37:00.239 --> 0:37:03.040
<v Speaker 17>on track thirty five percent year over year growth and

0:37:03.040 --> 0:37:06.239
<v Speaker 17>one hundred million dollar a year. That's not bad, but

0:37:06.360 --> 0:37:09.319
<v Speaker 17>expect Tesla to come roaring back in Q four. Most

0:37:09.360 --> 0:37:11.640
<v Speaker 17>people don't realize the IF cut price is twenty five

0:37:11.800 --> 0:37:14.840
<v Speaker 17>percent in twenty twenty three and they're still profitable, so

0:37:14.880 --> 0:37:17.439
<v Speaker 17>our margin is compressed. Yeah, but you can now buy

0:37:17.440 --> 0:37:20.399
<v Speaker 17>a Model three or a Model Y for roughly thirty

0:37:20.400 --> 0:37:23.480
<v Speaker 17>two to thirty four k after rebates. That's less than

0:37:23.520 --> 0:37:27.120
<v Speaker 17>the average gas powered card America. So Tesla's currently is

0:37:27.360 --> 0:37:31.399
<v Speaker 17>like fifty percent of all evs in America. That's more

0:37:31.440 --> 0:37:33.719
<v Speaker 17>than everybody else in the market combined.

0:37:34.040 --> 0:37:35.680
<v Speaker 1>I think they're going to have a record to Q.

0:37:35.600 --> 0:37:38.760
<v Speaker 17>Four deliveries, probably close to five hundred and fifty thousand.

0:37:38.880 --> 0:37:41.080
<v Speaker 17>It will be big, at least one point eight one

0:37:41.120 --> 0:37:43.680
<v Speaker 17>point nine million units for the year. But the big

0:37:43.760 --> 0:37:47.680
<v Speaker 17>question is can they hold off byd and the Chinese makers.

0:37:47.880 --> 0:37:49.320
<v Speaker 17>That's going to be the big SmackDown.

0:37:50.520 --> 0:37:53.040
<v Speaker 5>I hear your big question. I raise you one other

0:37:53.080 --> 0:37:57.520
<v Speaker 5>big question. Is Tesla a car company or is Tesla

0:37:58.000 --> 0:38:01.240
<v Speaker 5>a technology company? And what we're writing about in Bloomberg

0:38:01.280 --> 0:38:05.040
<v Speaker 5>today is automotive gross margin forecast to fall from around

0:38:05.080 --> 0:38:09.120
<v Speaker 5>twenty eight percent, which is like tech margins, to nineteen

0:38:09.200 --> 0:38:11.520
<v Speaker 5>percent more in line with traditional car makers.

0:38:13.640 --> 0:38:17.040
<v Speaker 17>So here's the answer you may not have expected. Tesla

0:38:17.120 --> 0:38:20.239
<v Speaker 17>is a car company. It's absolutely a tech company. The

0:38:20.360 --> 0:38:23.400
<v Speaker 17>leader is selling over the air of software new features

0:38:23.440 --> 0:38:27.160
<v Speaker 17>like autonomous driving. But they're also an energy company. And

0:38:27.200 --> 0:38:31.040
<v Speaker 17>it is no should be no secret or surprise to

0:38:31.120 --> 0:38:34.360
<v Speaker 17>anyone that the two dominant leaders in the EV vehicle

0:38:34.400 --> 0:38:37.760
<v Speaker 17>world and every auto company is going electric. Make no mistake,

0:38:38.080 --> 0:38:41.680
<v Speaker 17>the two leaders, Tesla and BYD, are also energy companies.

0:38:42.200 --> 0:38:45.600
<v Speaker 17>So the big SmackDown here, the big battle is can

0:38:45.680 --> 0:38:51.400
<v Speaker 17>Tesla pulled off BYD. BYD is the clear leader in China,

0:38:51.600 --> 0:38:54.720
<v Speaker 17>in South America and Mexico. In places where you're selling

0:38:54.760 --> 0:38:57.799
<v Speaker 17>cars in the fifteen to twenty five thousand dollars range,

0:38:57.840 --> 0:39:01.319
<v Speaker 17>Tesla obviously has a big ef advantage thirty thousand dollars

0:39:01.360 --> 0:39:07.240
<v Speaker 17>in uprange, but Tesla has thirteen percent net margins. BYD

0:39:07.440 --> 0:39:10.560
<v Speaker 17>at four to five percent, those margins may come down

0:39:10.600 --> 0:39:12.719
<v Speaker 17>a little bit, but as long as Tesla continues to

0:39:12.760 --> 0:39:15.399
<v Speaker 17>grow at this rate thirty five percent year over year,

0:39:16.000 --> 0:39:17.879
<v Speaker 17>I think Tesla's going to be in the driver's seed

0:39:17.880 --> 0:39:19.360
<v Speaker 17>for a little longer than people think.

0:39:20.280 --> 0:39:22.920
<v Speaker 5>China is such an incredibly important story for so many

0:39:22.960 --> 0:39:26.520
<v Speaker 5>across tech an ev thanks to see Wesley Westy, Greek

0:39:26.560 --> 0:39:28.880
<v Speaker 5>managing partner and of course former board member at the

0:39:28.880 --> 0:39:30.280
<v Speaker 5>EV Maker character.

0:39:29.960 --> 0:39:31.280
<v Speaker 4>Talking in the importance of China.

0:39:31.600 --> 0:39:35.200
<v Speaker 2>Apple CEO Tim Cook one backing from Chinese Commerce Minister

0:39:35.400 --> 0:39:38.720
<v Speaker 2>today who told Cook that China welcomes Apple to benefit

0:39:38.760 --> 0:39:42.160
<v Speaker 2>from the country's market and engage in quote win win development.

0:39:42.360 --> 0:39:43.880
<v Speaker 2>Now this is all according to a sagment from the

0:39:43.960 --> 0:39:46.800
<v Speaker 2>Chinese ministry. It all comes at a time when Apple's

0:39:46.800 --> 0:39:49.319
<v Speaker 2>sales outlook in the world's number two economy look has

0:39:49.320 --> 0:39:51.759
<v Speaker 2>been under scrutiny. Meanwhile, as the US, of course, is

0:39:51.800 --> 0:39:54.680
<v Speaker 2>tightening rules on AI chip sales to China, iPhone Maker

0:39:54.719 --> 0:39:57.720
<v Speaker 2>and Fox Gone and Nvidia said they would build AI

0:39:57.760 --> 0:40:00.720
<v Speaker 2>factories together. It's all according to the financi Times spots.

0:40:00.760 --> 0:40:02.960
<v Speaker 2>Corn has been trying to diversify its revenue based from

0:40:02.960 --> 0:40:07.600
<v Speaker 2>manufacturing electronics to building the computing infrastructure powering autonomous technology.

0:40:08.239 --> 0:40:11.439
<v Speaker 2>See how we just tied that all in one beautiful bow.

0:40:11.440 --> 0:40:14.360
<v Speaker 2>Taie fu China and the impact on US tech. This

0:40:14.440 --> 0:40:15.800
<v Speaker 2>is reely make Technology.

0:40:23.280 --> 0:40:25.160
<v Speaker 4>X, the social network formerly known as Twitter.

0:40:25.320 --> 0:40:28.000
<v Speaker 2>It's just begun testing a one dollar per year subscription

0:40:28.080 --> 0:40:30.680
<v Speaker 2>fee for new accounts on the web that want to

0:40:30.719 --> 0:40:31.839
<v Speaker 2>post or interact.

0:40:31.520 --> 0:40:32.240
<v Speaker 4>With other users.

0:40:32.320 --> 0:40:34.480
<v Speaker 2>Now, the company says the measure, which is called not

0:40:34.600 --> 0:40:38.600
<v Speaker 2>a bot, has a potential to reduce spam, automated bot accounts,

0:40:38.640 --> 0:40:40.360
<v Speaker 2>and manipulation of its service.

0:40:40.520 --> 0:40:40.600
<v Speaker 17>Ed.

0:40:40.640 --> 0:40:43.480
<v Speaker 2>This is all, of course happening overseas New Zealand. One

0:40:43.480 --> 0:40:45.759
<v Speaker 2>of the test beds the Philippines as well, and Elon

0:40:45.840 --> 0:40:48.200
<v Speaker 2>Musk called it, you know, one dollar a year to write,

0:40:48.320 --> 0:40:48.640
<v Speaker 2>but you.

0:40:48.640 --> 0:40:49.280
<v Speaker 4>Read for free.

0:40:49.400 --> 0:40:49.800
<v Speaker 3>Yeah.

0:40:50.160 --> 0:40:53.799
<v Speaker 5>So when x first introduced subscriptions, the idea was that

0:40:53.880 --> 0:40:57.920
<v Speaker 5>it disincentivizes people that want to be spam or bot

0:40:57.920 --> 0:41:02.040
<v Speaker 5>account operators. Right, who pays nine dollars to have an

0:41:02.040 --> 0:41:04.920
<v Speaker 5>account that has the sole purpose of being spam or

0:41:04.920 --> 0:41:07.640
<v Speaker 5>a bo They're just doing it a much lower bar,

0:41:07.880 --> 0:41:10.040
<v Speaker 5>one dollar. I don't know if that will work, but

0:41:10.320 --> 0:41:11.879
<v Speaker 5>now they have a case study, and.

0:41:11.800 --> 0:41:13.920
<v Speaker 2>This is all about monetization. Of course, they got one

0:41:13.960 --> 0:41:16.480
<v Speaker 2>point two billion to pay in interest payments. Bloomberg understands

0:41:16.480 --> 0:41:18.840
<v Speaker 2>and in the Acarina already been articulating there might be

0:41:18.840 --> 0:41:21.440
<v Speaker 2>a three tier subscription level that we're going to see.

0:41:22.280 --> 0:41:25.800
<v Speaker 5>Yeah, squeezing out dollars, but you know how pervasive a

0:41:25.880 --> 0:41:27.560
<v Speaker 5>box on the platform. We still don't have a good

0:41:27.560 --> 0:41:29.800
<v Speaker 5>handle on that. Must says they're down, but many of

0:41:29.880 --> 0:41:31.239
<v Speaker 5>us experience them day to day.

0:41:31.440 --> 0:41:32.279
<v Speaker 9>Well said, that does it.

0:41:32.280 --> 0:41:34.200
<v Speaker 4>From this edition of Bloomberg Technology.

0:41:33.760 --> 0:41:34.040
<v Speaker 6>Though ed.

0:41:34.760 --> 0:41:36.960
<v Speaker 5>Yeah, recap the podcast and thank you for listening.

0:41:37.000 --> 0:41:38.400
<v Speaker 3>Wherever you get your podcasts.

0:41:38.520 --> 0:41:43.560
<v Speaker 5>From New York City and SF, this is Bloomberg Technology.