WEBVTT - Microsoft, OpenAI and UK Regulators

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<v Speaker 1>From Marhart where Innovation, Money and Power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed Love Love.

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<v Speaker 2>I'm Caroline Heide Bloomberg's world headquarters in New York and

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<v Speaker 2>I'm Ed Lovelow in San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up.

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<v Speaker 2>Open AI and Microsoft's partnership facing potential antitrust scrutiny in

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<v Speaker 2>the UK and the US will break down the CMA

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<v Speaker 2>and the FTC's concern on the competition and.

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<v Speaker 3>EU negotiators continue to debate rules for AI. Will discuss

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<v Speaker 3>the sticking points as regulators balancing the risks of artificial

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<v Speaker 3>intelligence and its potential benefits.

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<v Speaker 2>Plus, Harpoon Ventures raises one hundred and twenty five million

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<v Speaker 2>dollars for its forth fund to invest in ELI stage startups.

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<v Speaker 2>Will sit down with the founder Lars and Jensen from

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<v Speaker 2>today's PC Spotlight A first, let's checking on these markets

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<v Speaker 2>and completely flat on the Nasdaq. Look, we try to

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<v Speaker 2>digest the macro picture that is resilience in the US economy,

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<v Speaker 2>a strong jobs market, a confidence building in the consumer

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<v Speaker 2>and we're currently just what one point to the downside

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<v Speaker 2>on the Nasdaq after we've of course, we saw that

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<v Speaker 2>injection of buying yesterday. We do see big moves in

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<v Speaker 2>the bomb market. Though thirteen basis, let's call fourteen basis

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<v Speaker 2>points to the upside on the two years. People think

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<v Speaker 2>that perhaps we've got a little bit too exuberant about

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<v Speaker 2>thinking we'll have some sort of rate cuts as soon

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<v Speaker 2>as March, those probabilities dialing back in the market. We're

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<v Speaker 2>seeing Brent crew popping up about two point three percent

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<v Speaker 2>after indeed oil has been under pressure, but notably some

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<v Speaker 2>views that the US is going to have to build

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<v Speaker 2>up at stockpiles, just managing to push it up a

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<v Speaker 2>little bit higher. Let's move on and have a look

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<v Speaker 2>at what's happening in the world a crypto, of course,

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<v Speaker 2>because the dollar shows resilience. Today we see although over

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<v Speaker 2>the course of the five pass trading days, what a

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<v Speaker 2>tear bitcoin has been on. We're up more than ten percent.

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<v Speaker 2>Forty three eight hundred is where we currently traded. But

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<v Speaker 2>what about those micro details today.

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<v Speaker 3>Yeah, so a lot of newsflow heading into the end

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<v Speaker 3>of the year. One story we reported this morning Tesla

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<v Speaker 3>another executive has left the Dojo project, this time Bill Chang,

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<v Speaker 3>who is the principal engineer for Ai on the project.

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<v Speaker 3>You remember twenty four hours ago Mark German and I

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<v Speaker 3>reported that Ginesh Vin Kateramanan, who was the lead for Dojo,

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<v Speaker 3>had left.

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<v Speaker 4>We're now reporting on another departure.

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<v Speaker 3>Stock a little softer three tens to one percent, but

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<v Speaker 3>kind of in line with the market, not really drawing

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<v Speaker 3>a causal link. The big technology story right now is

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<v Speaker 3>Microsoft and open Ai. In the last hour, Bloomberg of reported,

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<v Speaker 3>citing a source, that the FTC has opened a preliminary

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<v Speaker 3>look from an antitrust perspective in Microsoft's investment on open Ai,

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<v Speaker 3>following the UKCMA, which has done a similar early or

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<v Speaker 3>prelim look, an invitation for the thoughts of the public

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<v Speaker 3>on what they feel about it, but it could lead

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<v Speaker 3>to a full blown probe. This is important. Did we

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<v Speaker 3>see it coming. Let's bring in Bloomberg, Thomas Seal out

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<v Speaker 3>of London. Thomas, they's start with the UKCMA. What are

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<v Speaker 3>the details of what we know?

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<v Speaker 5>Yeah, as you say, Edward, it's early stages, but I

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<v Speaker 5>think we did see it coming.

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<v Speaker 4>We saw some early signs.

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<v Speaker 5>It's hard to keep up with the CMA probes, even

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<v Speaker 5>on Microsoft's front. You know, it's only less than two

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<v Speaker 5>months since they closed the activision probe, but in recent

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<v Speaker 5>months they've been looking at AI foundation models. They've also

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<v Speaker 5>been looking at the cloud market, and in today's statement

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<v Speaker 5>on open Ai, they do explicitly mention the relationship with

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<v Speaker 5>Microsoft Azure and open Ai. So, yeah, really interesting and

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<v Speaker 5>interesting to see other regulators making similar any moves.

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<v Speaker 2>It's kind of fascinating ultimately, when we're looking across at

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<v Speaker 2>what also the USFTC is examining into the nature of

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<v Speaker 2>the investment that Microsoft.

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<v Speaker 6>Made in open Ai.

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<v Speaker 2>We know they put in what ultimately is about thirteen

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<v Speaker 2>billion dollars in terms of overall valuation that they've been

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<v Speaker 2>contributing to open Ai. But what the CMA is looking

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<v Speaker 2>at is whether, particularly through the governance situation, the unraveling,

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<v Speaker 2>the firing then rehiring of Sam Altman, that de facto

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<v Speaker 2>Microsoft has more control than well, they're less than fifty

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<v Speaker 2>percent ownership, they have inequity. What is it that the

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<v Speaker 2>CMA is trying to prove here? Hope and how can

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<v Speaker 2>consumers and competition competition be hurt?

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<v Speaker 5>Yeah, the key phrase, and when you look at antitrust,

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<v Speaker 5>there's a lot of dry or arcane phrases. The key

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<v Speaker 5>phrase with the CMA is substantial lessening of competition or

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<v Speaker 5>relevant merger situation. Now clearly this isn't a merger per se,

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<v Speaker 5>but it is a substantial investment. We don't know the

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<v Speaker 5>term sheet. I'm sure they would like to take a

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<v Speaker 5>look at it. In fact, on stage at the Bloomberg

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<v Speaker 5>Technology Conference last month, no back in October, I asked

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<v Speaker 5>the senior director at the CMA that very question whether

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<v Speaker 5>he'd like to see the term sheets, and you know,

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<v Speaker 5>you could tell you could tell that he would, and

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<v Speaker 5>he implied that they wanted to look at these vertical relationships,

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<v Speaker 5>as he says, between big tech companies and foundation models,

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<v Speaker 5>not just Microsoft OpenAI, but also substantial investments in anthropic

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<v Speaker 5>Obviously Google's full blown takeover several years ago of deep Mind,

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<v Speaker 5>and that.

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<v Speaker 2>Is precisely the deal that Brad Smith, president of Microsoft,

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<v Speaker 2>referenced in his post when responding to all of this,

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<v Speaker 2>he said, look, this is very different from Google's outright

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<v Speaker 2>acquisition of deep Mind in the UK, and they reference

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<v Speaker 2>that the only thing that has changed is that Microsoft

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<v Speaker 2>will now have non voting observer on the Open Ai board.

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<v Speaker 2>Thomas Seal great reporting and analysis on what's happening in

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<v Speaker 2>terms of.

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<v Speaker 6>The regulatory focus.

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<v Speaker 2>I mean has mentioned earlier in the USCFGC is examining

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<v Speaker 2>the nature of Microsoft's investment in the open AI as

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<v Speaker 2>well whether it may violate antitrust laws. It's all according

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<v Speaker 2>to a source and the inquiries of preliminary agency hasn't

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<v Speaker 2>opened a formal investigation, and the source says Microsoft didn't

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<v Speaker 2>report the transaction to the agency because look, the investment

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<v Speaker 2>in open AI doesn't amount control of the company under

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<v Speaker 2>US law. All of this, though, just shows the frenzy

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<v Speaker 2>with which many are regulators are trying to wrap their

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<v Speaker 2>head around the technological advancements that we see in AI

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<v Speaker 2>and how we see some guardrails for it. Let's just

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<v Speaker 2>go to the EU, where negotiators are still working to

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<v Speaker 2>hammer out rules on AI, hitting a snag when it

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<v Speaker 2>comes to face scanning technology in particular most Julian Deutsch

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<v Speaker 2>has had well a pretty intense week over there in Brussels,

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<v Speaker 2>where just people have been falling asleep at their desks.

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<v Speaker 6>It sounds like, in terms of trying to get.

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<v Speaker 2>A deal over the line, the stumbling block for you

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<v Speaker 2>at the moment, what do we know.

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<v Speaker 7>Yeah, So today Mark's we're about nine hours into the

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<v Speaker 7>second marathon round of trying to get a deal on

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<v Speaker 7>the Artificial Intelligence Act. Now this is after an nearly

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<v Speaker 7>twenty four hour round ended on Thursday afternoon without a deal.

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<v Speaker 7>So they reconvene this morning. I even kind of started

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<v Speaker 7>off with a bit of a hitch. Lawmakers were too

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<v Speaker 7>busy debating amongst themselves to actually enter the negotiating room.

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<v Speaker 6>Now we're seeing lots of Connor.

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<v Speaker 7>Proposals going back and forth between lawmakers and use dowing

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<v Speaker 7>some number of states.

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<v Speaker 6>But everyone's bucking up for another long night ahead.

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<v Speaker 3>And as we put on the screen right now, what's

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<v Speaker 3>its state? It would be the world's first comprehensive AI

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<v Speaker 3>law if we get some progress, Bloom. Most of the

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<v Speaker 3>dust's carry said, been busy, and we'll continue to be

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<v Speaker 3>busy tracking that one, thank you. The US labor market

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<v Speaker 3>continues to defy slow down forecast is evident in today's

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<v Speaker 3>payrolls report. However, this week we saw Spotify announced job

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<v Speaker 3>cuts that will impact seventeen percent of its workforce. There

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<v Speaker 3>are others Twilio, for example, So what's going on? Joining

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<v Speaker 3>us now to get a read on the labor market

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<v Speaker 3>is LinkedIn senior economist Corey Kintango, and Corey, great to

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<v Speaker 3>have you on the program. Let's just get right to

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<v Speaker 3>the technology sector. Do you have any sort of micro

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<v Speaker 3>focus on what is happening there with hiring firing into

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<v Speaker 3>context of what was a really robust jobs report.

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<v Speaker 8>So what we're seeing now on LinkedIn and the technology

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<v Speaker 8>sector are signs of stabilization. So hiring overall is down

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<v Speaker 8>about three percent since July, which is also a positive

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<v Speaker 8>sign for stabilization, but hiring in tech is actually up

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<v Speaker 8>three percent. So it's been about a year and a

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<v Speaker 8>half of cool down in tech and we are finally

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<v Speaker 8>starting to see some positive signs of stabilization in the

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<v Speaker 8>hiring market for tech.

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<v Speaker 2>What about well, the overall inflationary pressure wage inflation, that

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<v Speaker 2>was something that we saw in the bigger macro data

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<v Speaker 2>we're looking at at the moment, we're seeing while I

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<v Speaker 2>increased a zero point four percent for the average hourly

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<v Speaker 2>earnings month for month, we're seeing prices of people in

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<v Speaker 2>talent go up.

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<v Speaker 8>So in this week's jobs report, we did see an

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<v Speaker 8>acceleration in nominal wage growth, and that can kind of

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<v Speaker 8>fuel concerns about inflation, because one of the keys that

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<v Speaker 8>the FED thinks to controlling inflation is bringing down the

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<v Speaker 8>job market, bringing down nominal wage growth, so that wages

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<v Speaker 8>aren't feeding so much into price pressures. But that's this

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<v Speaker 8>month's job support is actually just kind of a reversal

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<v Speaker 8>of the slowdown that we saw last month. Nominal wages

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<v Speaker 8>are still running above what the FED would like, but

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<v Speaker 8>some of that that we're seeing is actually just coming

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<v Speaker 8>from the composition of workers. We saw a big drop

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<v Speaker 8>off in retail employees in this month's jobs report, so

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<v Speaker 8>those low wages are dropping off, which is kind of

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<v Speaker 8>inflating that number as well.

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<v Speaker 3>The low wages are dropping off, what are the higher

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<v Speaker 3>wages doing. One of my Caroline's favorite pastimes is to

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<v Speaker 3>go on the internet and look at all the postings

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<v Speaker 3>for AI related jobs and then despair at how well

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<v Speaker 3>paid those potential postings are.

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<v Speaker 4>But is he jealous?

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<v Speaker 3>Not the way jealous, but is AI having a serious

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<v Speaker 3>impact in the way that the news headlines would have

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<v Speaker 3>you believe?

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<v Speaker 8>Well, I'm going to have to get on and start

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<v Speaker 8>looking at those job postings myself.

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<v Speaker 4>That's the kiss.

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<v Speaker 8>So right now we're only seeing nascent impact from AI.

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<v Speaker 8>On the job market, only about four percent of employers

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<v Speaker 8>plan to make changes to their headcount. Is a result

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<v Speaker 8>of the innovations we've seen this year in AI. Conversations

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<v Speaker 8>are certainly up. We're all talking about it about seventy

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<v Speaker 8>ear a seventy percent higher this year than they were

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<v Speaker 8>last year. We're also saying that people are looking at

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<v Speaker 8>job postings to say AI, as you said, about seventeen

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<v Speaker 8>percent higher. They're getting about seventeen percent higher views compared

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<v Speaker 8>to jobs that don't see anything about AI. Now, a

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<v Speaker 8>lot of these jobs aren't AI jobs, they're just jobs

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<v Speaker 8>that mentioned generator of AI are mentioned AI in the

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<v Speaker 8>job hosting, in part because we know that this is

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<v Speaker 8>an exciting area and no one wants to be left behind.

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<v Speaker 2>It's great getting your perspective on really the nuance that's

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<v Speaker 2>happening within the technology sector, as well as more broadly,

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<v Speaker 2>the ramifications for what was a pretty sturdy set of

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<v Speaker 2>numbers from macro Data Today LinkedIn senior economist crow contango.

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<v Speaker 6>We thank you for your time.

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<v Speaker 2>Meanwhile, let's get the read across from economists to market implication.

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<v Speaker 6>We're so pleased to have in the building.

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<v Speaker 2>Leafetengla's Investment CIO as a tengler who really has such

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<v Speaker 2>a great viewpoint on when it comes to valuations in

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<v Speaker 2>this space, the technology space in particular. You've sort of

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<v Speaker 2>seen this economy before, you say, key, looking at the nineties,

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<v Speaker 2>We've been here, We've done that. Therefore, from the nineth

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<v Speaker 2>this resilience. Do you still buy tech? Yes, I think

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<v Speaker 2>you do.

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<v Speaker 9>I mean, if you look Caroline and thank you so

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<v Speaker 9>much for having me in studio.

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<v Speaker 6>It's great to be here.

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<v Speaker 9>I think when you look back at the nineties, you

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<v Speaker 9>learn that we can coexist. That is, stock equity investors

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<v Speaker 9>with higher interest rates the tenure averaged five to eight

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<v Speaker 9>percent during the decade, higher levels of inflation we were

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<v Speaker 9>above three percent for the entire decade, and a tight

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<v Speaker 9>labor market with productivity growth, and a number of other

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<v Speaker 9>things that we pay attention to, like the vix it

0:11:32.920 --> 0:11:35.679
<v Speaker 9>was low during the nineties. These are things that have

0:11:36.400 --> 0:11:39.520
<v Speaker 9>been before, and yet we've still been able to generate

0:11:39.559 --> 0:11:42.080
<v Speaker 9>excess returns. And where were the best returns in the nineties.

0:11:42.120 --> 0:11:44.400
<v Speaker 9>They they were in technology. I think we're at the

0:11:44.400 --> 0:11:47.400
<v Speaker 9>beginning of a new supercycle. So I think there's a

0:11:47.440 --> 0:11:50.120
<v Speaker 9>lot of reasons on weakness to buy these names.

0:11:50.760 --> 0:11:54.400
<v Speaker 2>Okay, we haven't actually seen that much weakness in Magnificent

0:11:54.440 --> 0:11:56.280
<v Speaker 2>seven yet. For example, maybe a bit of a dip

0:11:56.320 --> 0:11:58.599
<v Speaker 2>on some of the chip makers, but ultimately all you

0:11:58.720 --> 0:12:02.040
<v Speaker 2>still saying let's go for the Microsoft's then videos, Oh,

0:12:02.200 --> 0:12:02.439
<v Speaker 2>do you.

0:12:02.480 --> 0:12:05.400
<v Speaker 6>Broaden that viewpoint? We're broadening it.

0:12:05.559 --> 0:12:08.000
<v Speaker 9>So if you look back at the valuations, I mean,

0:12:08.080 --> 0:12:10.720
<v Speaker 9>let's not forget in the nineties it was the four horsemen.

0:12:11.000 --> 0:12:13.400
<v Speaker 9>I mean, at least now we have seven, right, and

0:12:13.480 --> 0:12:16.560
<v Speaker 9>Microsoft then was trading at fifty one times peak earnings.

0:12:16.600 --> 0:12:20.840
<v Speaker 9>It's only around thirty times, not peak earnings. So yes,

0:12:21.000 --> 0:12:23.440
<v Speaker 9>you want to own that name. I'm less enamored as

0:12:23.440 --> 0:12:25.480
<v Speaker 9>we talked about last time. I think I shocked ed

0:12:26.080 --> 0:12:28.600
<v Speaker 9>with Meta. We own a little bit of Google, but

0:12:28.679 --> 0:12:32.160
<v Speaker 9>we like Adobe, we like Service Now the poor man's

0:12:32.240 --> 0:12:37.760
<v Speaker 9>Nvidia broadcom which reported great returns yesterday, great results, and

0:12:37.920 --> 0:12:40.599
<v Speaker 9>Race a dividend fourteen percent. So those are some of

0:12:40.640 --> 0:12:43.000
<v Speaker 9>the places we broadened out to Oracle, which is a

0:12:43.000 --> 0:12:46.480
<v Speaker 9>generative AI computing play, but when we were buying it,

0:12:46.480 --> 0:12:50.000
<v Speaker 9>it was just kind of a cheap old economy technology

0:12:50.000 --> 0:12:50.920
<v Speaker 9>stock out.

0:12:51.760 --> 0:12:56.800
<v Speaker 3>Nancy ed is not that easily shocked, but one thing

0:12:56.840 --> 0:12:59.400
<v Speaker 3>that did catch my eye this year. I spent a

0:12:59.480 --> 0:13:02.720
<v Speaker 3>day with AA and they had this forecast that the

0:13:02.800 --> 0:13:07.679
<v Speaker 3>market for AI accelerators AI accelerators only will be four

0:13:07.760 --> 0:13:11.880
<v Speaker 3>hundred billion dollars in twenty twenty seven. That's up from

0:13:11.920 --> 0:13:13.679
<v Speaker 3>their forecast that they only just gave in August of

0:13:13.720 --> 0:13:17.400
<v Speaker 3>one hundred and fifty billion dollars. Last year, the entire

0:13:17.480 --> 0:13:20.920
<v Speaker 3>semiconductor market, every chip you can think of, was five

0:13:21.000 --> 0:13:25.400
<v Speaker 3>hundred billion dollars, which makes this forecast of multi multi

0:13:25.520 --> 0:13:28.960
<v Speaker 3>year ongoing expansion from AI even more.

0:13:30.480 --> 0:13:31.040
<v Speaker 4>Amazing.

0:13:31.160 --> 0:13:35.560
<v Speaker 3>I suppose do you see the investors following that trajectory

0:13:35.720 --> 0:13:37.360
<v Speaker 3>from now through twenty twenty seven.

0:13:37.920 --> 0:13:39.120
<v Speaker 6>I think eventually yes.

0:13:39.200 --> 0:13:41.360
<v Speaker 9>I mean what you continue to see is that the

0:13:41.440 --> 0:13:43.480
<v Speaker 9>bears don't get to be in charge very often, so

0:13:43.480 --> 0:13:45.760
<v Speaker 9>they're kind of loath to leave the stage. You know,

0:13:45.800 --> 0:13:48.079
<v Speaker 9>we heard that the tech trade was over in October

0:13:48.679 --> 0:13:51.560
<v Speaker 9>in the fall, but in particular October of twenty twenty two,

0:13:51.640 --> 0:13:54.760
<v Speaker 9>we were in buying. At the end of the summer,

0:13:54.880 --> 0:13:58.600
<v Speaker 9>the stock scot you know, pretty well trounced and including

0:13:58.600 --> 0:14:01.240
<v Speaker 9>the Magnificent seven. We wrote a piece on October thirty

0:14:01.240 --> 0:14:02.880
<v Speaker 9>first said you ought to get in here and buy

0:14:02.880 --> 0:14:04.840
<v Speaker 9>some of this stuff, and we were doing that, So

0:14:05.000 --> 0:14:06.480
<v Speaker 9>I think what you want to do. I mean, this

0:14:06.559 --> 0:14:09.720
<v Speaker 9>won't work forever ed, I mean, that's for sure, but

0:14:10.000 --> 0:14:12.679
<v Speaker 9>these super cycles can run five to ten years. And

0:14:12.720 --> 0:14:15.720
<v Speaker 9>we're in early days and you have identified the total

0:14:15.760 --> 0:14:19.120
<v Speaker 9>addressable market, which is critical and it it extends beyond

0:14:19.200 --> 0:14:20.800
<v Speaker 9>chips into software as well.

0:14:22.080 --> 0:14:24.840
<v Speaker 3>That is the conversation I'm having every day. At the moment,

0:14:25.000 --> 0:14:28.240
<v Speaker 3>everyone's obsessed with the GPUs, What about all the other stuff?

0:14:28.240 --> 0:14:32.160
<v Speaker 3>Producer John Hyland saying in our chat, if in Nvidia's

0:14:32.200 --> 0:14:36.040
<v Speaker 3>the champagne, then broad comms the pbr bit based on

0:14:36.080 --> 0:14:41.520
<v Speaker 3>your fisis, but what about the Ethernet infrastructure that's needed

0:14:41.680 --> 0:14:44.080
<v Speaker 3>the memory chips. Do you think that that's kind of

0:14:44.120 --> 0:14:45.480
<v Speaker 3>being discounted right now?

0:14:45.800 --> 0:14:48.280
<v Speaker 9>Yeah, I think you know, in Nvidia is sucking all

0:14:48.280 --> 0:14:49.800
<v Speaker 9>the air out of the room, and now you've got

0:14:49.840 --> 0:14:52.360
<v Speaker 9>AMD and they're kind of adding some value, you know,

0:14:52.400 --> 0:14:56.520
<v Speaker 9>adding some narrative to this. Broadcom is only partially it's

0:14:56.560 --> 0:14:58.600
<v Speaker 9>going to be about twenty five percent of revenues, the

0:14:59.520 --> 0:15:03.000
<v Speaker 9>enterprise cloud computing chip part of it. But they've got

0:15:03.080 --> 0:15:05.000
<v Speaker 9>VMware which is going to pick up some of the slacks.

0:15:05.000 --> 0:15:07.160
<v Speaker 9>So we're looking at names like Adobe, which I call

0:15:07.200 --> 0:15:10.160
<v Speaker 9>the unsung hero of generative AI, and we own it

0:15:10.200 --> 0:15:13.200
<v Speaker 9>and we're looking for opportunities to add to it. Service

0:15:13.240 --> 0:15:16.680
<v Speaker 9>now is taking it spend away from some of the

0:15:16.680 --> 0:15:20.800
<v Speaker 9>other providers directing the traffic in the clouds. So there

0:15:20.840 --> 0:15:23.240
<v Speaker 9>are a lot of ways to play this, and I think,

0:15:23.400 --> 0:15:25.760
<v Speaker 9>you know, I don't think you have to chase Nvidia

0:15:26.280 --> 0:15:27.000
<v Speaker 9>up the ladder.

0:15:27.480 --> 0:15:30.200
<v Speaker 2>Always so straight talking and coming out showing how you've

0:15:30.240 --> 0:15:31.880
<v Speaker 2>been putting your money where your mouth is. We really

0:15:31.920 --> 0:15:35.000
<v Speaker 2>appreciate it and as of love a Tanglar Investments. Great

0:15:35.000 --> 0:15:37.040
<v Speaker 2>to have a here in New York. Meanwhile, add to you.

0:15:37.920 --> 0:15:39.720
<v Speaker 3>Yeah, coming up, we're going to have a conversation about

0:15:39.760 --> 0:15:41.960
<v Speaker 3>DOC you sign out with its quarterly report. We're going

0:15:42.000 --> 0:15:44.600
<v Speaker 3>to recap those results and get the outlook with the

0:15:44.680 --> 0:15:49.680
<v Speaker 3>CEO coming up next, Alan Tigerson on the program Quick

0:15:49.720 --> 0:15:53.600
<v Speaker 3>one TSMC four tenths of a percent on the ADRs.

0:15:53.720 --> 0:15:55.080
<v Speaker 4>It's so weird. What's going on.

0:15:55.120 --> 0:15:58.720
<v Speaker 3>November data for sales not good. October had been good,

0:15:59.080 --> 0:16:01.240
<v Speaker 3>down the eleven foot first eleven months of the year,

0:16:01.280 --> 0:16:03.720
<v Speaker 3>the down four percent year and year. We have no

0:16:04.320 --> 0:16:07.360
<v Speaker 3>hard gauge on what's going on with this chip industry.

0:16:07.720 --> 0:16:10.560
<v Speaker 3>If we bottomed out in some areas, we're still sinking

0:16:10.600 --> 0:16:11.920
<v Speaker 3>in others, but we'll keep tracking it.

0:16:11.960 --> 0:16:13.120
<v Speaker 4>This is bloonbo technology.

0:16:29.240 --> 0:16:30.160
<v Speaker 6>Time for talking tech.

0:16:30.200 --> 0:16:33.400
<v Speaker 2>First up, Indian conglomerate Tata Group is planning to build

0:16:33.440 --> 0:16:35.880
<v Speaker 2>one of the country's biggest iPhone assembly plants now. The

0:16:35.880 --> 0:16:39.240
<v Speaker 2>facility will likely have about twenty assembly lines employ fifty

0:16:39.280 --> 0:16:43.160
<v Speaker 2>thousand workers. According to sources, Tato's plant would bolster Apple's

0:16:43.160 --> 0:16:46.840
<v Speaker 2>efforts to increase production in India. Meanwhile, ten Cent is

0:16:46.880 --> 0:16:49.520
<v Speaker 2>betting on its new open world adventure game to help

0:16:49.560 --> 0:16:52.920
<v Speaker 2>expand its global reach, and the official trailer for Last Sentinel,

0:16:53.200 --> 0:16:55.400
<v Speaker 2>while it was unveiled during the twenty twenty three Game

0:16:55.480 --> 0:16:59.080
<v Speaker 2>Awards send in a dystopian future Tokyo. Last Sentinel was

0:16:59.120 --> 0:17:01.880
<v Speaker 2>developed by ten centts California based Lightspeed at La Studio.

0:17:02.240 --> 0:17:04.000
<v Speaker 6>No word yet on the game's release date.

0:17:04.480 --> 0:17:06.560
<v Speaker 2>Plus raad coom we're just talking about it when that's

0:17:06.640 --> 0:17:09.159
<v Speaker 2>ten Lember Broadcom says it expects the rapid expansion of

0:17:09.200 --> 0:17:13.320
<v Speaker 2>AI computing to how offset its worst slowdown since twenty twenty.

0:17:13.480 --> 0:17:16.080
<v Speaker 2>CEO Hoc Tan referred to AI as someone a lot

0:17:16.080 --> 0:17:18.560
<v Speaker 2>of bright Spot for the chip maker, which expects salesforce

0:17:18.680 --> 0:17:20.879
<v Speaker 2>AI supporting chips to grow more than twenty percent in

0:17:20.880 --> 0:17:23.800
<v Speaker 2>twenty twenty four. Yesterday was Comm's the first calling reports

0:17:23.800 --> 0:17:26.200
<v Speaker 2>since it's acquisition of software firm VMware.

0:17:26.800 --> 0:17:29.960
<v Speaker 3>Ed well for we got yeah another earnings conversation. Doc

0:17:29.960 --> 0:17:33.080
<v Speaker 3>you sign out with results beating expectations on revue in

0:17:33.119 --> 0:17:36.359
<v Speaker 3>the third quarter gone, but offering a margin outlook that

0:17:36.480 --> 0:17:39.879
<v Speaker 3>was seen as cautious by some analysts. I like to

0:17:39.880 --> 0:17:42.800
<v Speaker 3>say that joining us now is DOCU sign CEO Alan

0:17:42.920 --> 0:17:46.520
<v Speaker 3>Tiger Sin Docu sign e signature document generation.

0:17:46.680 --> 0:17:49.200
<v Speaker 4>We all use it. Ye had great results.

0:17:49.280 --> 0:17:53.159
<v Speaker 3>The stock opened significantly lower, then rebounded, your up four percent,

0:17:53.560 --> 0:17:56.200
<v Speaker 3>and the analyst is saying, come on, give us a

0:17:56.240 --> 0:17:58.240
<v Speaker 3>little bit more on your margin outlook. Why were you

0:17:58.280 --> 0:17:59.120
<v Speaker 3>so conservative?

0:18:00.200 --> 0:18:03.800
<v Speaker 10>Well, we've I think shown that we can drive great

0:18:03.840 --> 0:18:06.120
<v Speaker 10>operating efficiency inside the business. I think that was really

0:18:06.160 --> 0:18:09.240
<v Speaker 10>the highlight of our Q three results, record operating profit.

0:18:09.000 --> 0:18:10.080
<v Speaker 4>Record free cash flow.

0:18:11.160 --> 0:18:14.720
<v Speaker 10>But we still have growth ambitions as well, So we're

0:18:14.760 --> 0:18:18.119
<v Speaker 10>balancing our investment and growth and our new roadmap with

0:18:18.880 --> 0:18:21.119
<v Speaker 10>continuing to find new operating efficiencies.

0:18:21.200 --> 0:18:24.760
<v Speaker 3>Most of Openingberg Technology audience with no docu signed from

0:18:24.800 --> 0:18:29.320
<v Speaker 3>e signature. Someone sends you something, you sign it electronically, done, dusted, simple.

0:18:29.640 --> 0:18:31.720
<v Speaker 3>But what is the technology story for dock sign he

0:18:31.760 --> 0:18:33.840
<v Speaker 3>talk it's about growth into what.

0:18:34.160 --> 0:18:39.000
<v Speaker 10>Yes, so historically we pioneered E signature and that continues

0:18:39.040 --> 0:18:41.119
<v Speaker 10>to be the majority of our business. But over the

0:18:41.200 --> 0:18:44.040
<v Speaker 10>last several years we've been investing what we call agreement management,

0:18:44.240 --> 0:18:52.680
<v Speaker 10>which is essentially helping companies manage agreements from development, editing, negotiating, settling, signing,

0:18:53.240 --> 0:18:55.560
<v Speaker 10>and then once you have the signed agreements, what are

0:18:55.560 --> 0:18:58.359
<v Speaker 10>you doing with them? How are you performing against your obligations,

0:18:58.359 --> 0:19:00.359
<v Speaker 10>how are your vendors performing, and how would you like

0:19:00.400 --> 0:19:03.160
<v Speaker 10>to renegotiate them when they're up for renewal. That whole

0:19:03.200 --> 0:19:06.360
<v Speaker 10>suite we call agreement management. We've delivered various pieces of it,

0:19:06.560 --> 0:19:08.520
<v Speaker 10>and we're really putting the whole thing together now.

0:19:09.080 --> 0:19:13.560
<v Speaker 2>Morgan Stanley analyst over there, Josh bare talking about decelerating trends,

0:19:13.600 --> 0:19:15.880
<v Speaker 2>of course, which you try to counteract with this growth

0:19:15.920 --> 0:19:18.480
<v Speaker 2>story of focus on a broader agreement. What is the

0:19:18.600 --> 0:19:21.320
<v Speaker 2>macro economy paint for you and your customers at the moment.

0:19:21.760 --> 0:19:25.160
<v Speaker 10>Yeah, I would say it's still a cautious outlook. Our

0:19:25.520 --> 0:19:28.560
<v Speaker 10>outlook reflects what we see right now. We don't try

0:19:28.560 --> 0:19:31.760
<v Speaker 10>to be macro prognosticators. But I would say the B

0:19:31.840 --> 0:19:34.600
<v Speaker 10>to B software space and enterprise spend in that area

0:19:34.800 --> 0:19:40.720
<v Speaker 10>is steady. Certainly, to the extent that the macro environment

0:19:40.720 --> 0:19:43.560
<v Speaker 10>and interest rates improved, then that will be very helpful.

0:19:43.600 --> 0:19:47.080
<v Speaker 10>But we're not projecting that yet. But I'd say that

0:19:47.119 --> 0:19:49.200
<v Speaker 10>we're in a stable environment.

0:19:49.600 --> 0:19:50.920
<v Speaker 4>We're not falling anymore.

0:19:51.640 --> 0:19:55.080
<v Speaker 2>Your background before, of course, Doc youre side Google. Before Google,

0:19:55.119 --> 0:19:58.760
<v Speaker 2>you were asset managing. You were also investing in startups

0:19:58.800 --> 0:20:01.920
<v Speaker 2>at Karlau for example, Alan, What is it that you've

0:20:01.920 --> 0:20:04.119
<v Speaker 2>managed to do because many would reflect that your manager

0:20:04.160 --> 0:20:06.760
<v Speaker 2>did contained costs. You already managed to show this expansion

0:20:06.800 --> 0:20:09.439
<v Speaker 2>while not bringing up the overall cost of doing business.

0:20:09.840 --> 0:20:12.439
<v Speaker 2>How have you brought over your playbook of seeing others

0:20:12.480 --> 0:20:14.399
<v Speaker 2>do it before to your business now?

0:20:14.800 --> 0:20:17.560
<v Speaker 10>Yes, so a guy, I'm an entrepreneur at heart. I

0:20:17.560 --> 0:20:19.919
<v Speaker 10>spent the early part of my career in startups and

0:20:19.920 --> 0:20:23.320
<v Speaker 10>then as an active venture investor, and so I still

0:20:23.480 --> 0:20:26.199
<v Speaker 10>look for entrepreneurial opportunity and growth and that's what excites

0:20:26.240 --> 0:20:28.320
<v Speaker 10>me and what excited me about the Docus sign opportunity,

0:20:28.560 --> 0:20:31.520
<v Speaker 10>and so I look for opportunities to invest in new

0:20:31.520 --> 0:20:35.879
<v Speaker 10>growth areas. At the same time, I've seen scale at Google,

0:20:36.000 --> 0:20:38.159
<v Speaker 10>and you know, some of the things that struck me

0:20:38.200 --> 0:20:42.520
<v Speaker 10>as I looked at DocuSign coming in was, for example,

0:20:42.600 --> 0:20:45.199
<v Speaker 10>we were not we were taking orders through humans for

0:20:45.320 --> 0:20:48.919
<v Speaker 10>the vast majority of our business. When at Google, if

0:20:48.920 --> 0:20:51.200
<v Speaker 10>an advertiser spend one hundred dollars or one hundred million

0:20:51.200 --> 0:20:53.280
<v Speaker 10>dollars a month with us, they placed their orders on

0:20:53.280 --> 0:20:55.199
<v Speaker 10>the system. So I felt there were some opportunities to

0:20:55.200 --> 0:20:58.040
<v Speaker 10>improve our self service options, not just for small customers,

0:20:58.080 --> 0:20:59.360
<v Speaker 10>but for customers of all sizes.

0:21:00.040 --> 0:21:00.920
<v Speaker 4>We're in the process of doing that.

0:21:01.040 --> 0:21:02.200
<v Speaker 10>That's doing really well.

0:21:02.240 --> 0:21:04.320
<v Speaker 4>Okay, I'm going to do it. I'm going to ask it.

0:21:04.960 --> 0:21:08.240
<v Speaker 3>What is the doc you sign AI story? If there

0:21:08.280 --> 0:21:08.720
<v Speaker 3>is one.

0:21:09.400 --> 0:21:11.520
<v Speaker 10>Actually, I think we have a great story. Now, I'm

0:21:11.520 --> 0:21:13.080
<v Speaker 10>sure all your guests say that. But if you think

0:21:13.119 --> 0:21:17.040
<v Speaker 10>about if you think about agreements, historically, the way companies

0:21:17.040 --> 0:21:20.480
<v Speaker 10>are treated agreements is they're essentially dumb flat files. There's

0:21:20.480 --> 0:21:22.679
<v Speaker 10>no sense of yeah, we may have digitized them, but

0:21:22.720 --> 0:21:24.960
<v Speaker 10>we still can barely find them. We certainly don't know

0:21:25.000 --> 0:21:27.640
<v Speaker 10>what's in them. The beauty of AI is. It allows

0:21:27.680 --> 0:21:30.280
<v Speaker 10>us to extract the essence of the agreement, the data

0:21:30.320 --> 0:21:32.480
<v Speaker 10>of the agreements, and then you can then measure those

0:21:32.520 --> 0:21:35.840
<v Speaker 10>agreements versus the actual performance as well as versus other

0:21:35.960 --> 0:21:38.639
<v Speaker 10>agreements with similar entities. And so we are in the

0:21:38.680 --> 0:21:40.879
<v Speaker 10>process of building that out. We're actually in active trials

0:21:40.880 --> 0:21:44.280
<v Speaker 10>with a number of large companies. We've built a sandbox

0:21:44.320 --> 0:21:46.359
<v Speaker 10>where they can try all this out. So I think

0:21:46.359 --> 0:21:49.400
<v Speaker 10>the agreement space is particularly well poised, and we as

0:21:49.480 --> 0:21:52.480
<v Speaker 10>a by far the largest player in the agreement space

0:21:52.600 --> 0:21:55.640
<v Speaker 10>with trusted relationships with almost a million and a half

0:21:55.640 --> 0:21:59.080
<v Speaker 10>companies pay us monthly dues. That puts us in a

0:21:59.080 --> 0:22:01.280
<v Speaker 10>great position too to do your begory.

0:22:01.119 --> 0:22:03.520
<v Speaker 4>Docu signed CEO Alan think it's in as great catch up.

0:22:03.600 --> 0:22:03.919
<v Speaker 4>Thank you.

0:22:12.440 --> 0:22:14.879
<v Speaker 3>Welcome back to bloombow Technology ed love though here in

0:22:14.920 --> 0:22:15.760
<v Speaker 3>San Francisco.

0:22:16.000 --> 0:22:17.760
<v Speaker 2>I'm Caroline hid in New York. Let's get a check

0:22:17.800 --> 0:22:19.920
<v Speaker 2>in on these markets. Last day of training of the week,

0:22:19.960 --> 0:22:22.560
<v Speaker 2>and well, we actually see a little bit of cautious buying.

0:22:22.560 --> 0:22:24.040
<v Speaker 2>When I'm looking at the NASDAK, we're up just a

0:22:24.080 --> 0:22:25.840
<v Speaker 2>tenth of a percent. Of course, we had a lot

0:22:25.880 --> 0:22:28.120
<v Speaker 2>of exuberance around AI will dig into that in a moment,

0:22:28.160 --> 0:22:30.200
<v Speaker 2>But the two year yield is showing significant sell off,

0:22:30.200 --> 0:22:33.520
<v Speaker 2>actually across the curve. Bond's selling off because look, good

0:22:33.560 --> 0:22:36.080
<v Speaker 2>news is bad news in terms of the strength of

0:22:36.080 --> 0:22:39.600
<v Speaker 2>the US economy. The jobs data showing growth, resilience, unemployment

0:22:39.640 --> 0:22:42.880
<v Speaker 2>coming down, all of this meaning that maybe the Federal Reserve, oh,

0:22:43.200 --> 0:22:45.560
<v Speaker 2>we keep rates a little bit higher for longer than

0:22:45.560 --> 0:22:48.480
<v Speaker 2>we'd anticipated. And certainly the confidence coming from the consumer

0:22:48.520 --> 0:22:49.760
<v Speaker 2>as well showing that too.

0:22:49.920 --> 0:22:50.240
<v Speaker 6>Interesting.

0:22:50.320 --> 0:22:52.600
<v Speaker 2>Though Bitcoin once again managed to shrug off the issues

0:22:52.600 --> 0:22:55.080
<v Speaker 2>with the bond market, it's still rallying today. Move on,

0:22:55.160 --> 0:22:56.639
<v Speaker 2>have a look at some of the individual movers that

0:22:56.680 --> 0:22:58.560
<v Speaker 2>we've got on the move. I'm looking at Alphabet just

0:22:58.560 --> 0:23:01.119
<v Speaker 2>pulling back on some of those that we saw yesterday.

0:23:01.200 --> 0:23:03.080
<v Speaker 2>Remember it did manage to push higher on the back

0:23:03.200 --> 0:23:06.480
<v Speaker 2>of its Gemini announcements. Pame Olsen, our opinion writer, really

0:23:06.560 --> 0:23:08.680
<v Speaker 2>digging into the detail of that announcement, saying, look, it

0:23:08.760 --> 0:23:12.199
<v Speaker 2>still lags open AI and actually some of those videos

0:23:12.200 --> 0:23:14.119
<v Speaker 2>and marketing tools just when all they were cracked up

0:23:14.160 --> 0:23:15.679
<v Speaker 2>to be. But still we're off by only about one

0:23:15.720 --> 0:23:18.199
<v Speaker 2>and a half percent. Video on the high side up

0:23:18.240 --> 0:23:20.920
<v Speaker 2>almost two percent. The exuberance around what's happening with AMD

0:23:20.960 --> 0:23:23.280
<v Speaker 2>that's putting back a little bit today. Interesting moves in

0:23:23.280 --> 0:23:25.760
<v Speaker 2>the chip sector in general, and TSMC not pointing to

0:23:25.800 --> 0:23:27.879
<v Speaker 2>all that much resilience in certain parts, but in video

0:23:28.080 --> 0:23:29.639
<v Speaker 2>gets a little bit of buying on the day. I'm

0:23:29.680 --> 0:23:31.760
<v Speaker 2>looking at Paramount quite a bit of buying in this

0:23:31.840 --> 0:23:35.840
<v Speaker 2>particular name. Will the studios be bought? Is it on offer?

0:23:35.840 --> 0:23:38.840
<v Speaker 2>In general, we're seeing Redbird capital to medicine as well,

0:23:39.119 --> 0:23:42.360
<v Speaker 2>potentially eyeing this particular company. That's what of course Deadline

0:23:42.440 --> 0:23:45.760
<v Speaker 2>is currently reporting, but people buying on that room ed a.

0:23:45.760 --> 0:23:47.600
<v Speaker 4>Big story this Friday.

0:23:47.840 --> 0:23:51.359
<v Speaker 3>A gene editing treatment for sickle cell disease based on

0:23:51.400 --> 0:23:55.480
<v Speaker 3>the Crisper technology was approved by US regulators, marking the

0:23:55.560 --> 0:23:58.600
<v Speaker 3>first time the technology can be used in patients in

0:23:58.640 --> 0:24:03.879
<v Speaker 3>the US. Uses precisely targeted changes in DNA to repair

0:24:04.000 --> 0:24:09.480
<v Speaker 3>flaws in patients genomes related to inherited disease, and if approved,

0:24:09.840 --> 0:24:12.160
<v Speaker 3>would be the first time this technology can be used

0:24:12.200 --> 0:24:15.480
<v Speaker 3>in patients. As we say in America, the treatment is

0:24:15.520 --> 0:24:19.960
<v Speaker 3>offered by Vertex Pharmaceuticals and Crisper Therapeutics. There was some

0:24:20.040 --> 0:24:23.639
<v Speaker 3>interesting equity or share response when the news broke. You

0:24:23.640 --> 0:24:27.680
<v Speaker 3>can see those names now lower in US trading. Jennifer

0:24:27.760 --> 0:24:31.480
<v Speaker 3>Dowdner is a biochemist at the University of California, Berkeley

0:24:31.520 --> 0:24:34.879
<v Speaker 3>and pioneered the crisper technology, which led to her winning

0:24:34.960 --> 0:24:38.439
<v Speaker 3>the twenty twenty Nobel Prize in Chemistry along with her

0:24:38.480 --> 0:24:43.680
<v Speaker 3>collaborator Emmanuel Chaventier. Jennifer Dowdner joins US now, I start

0:24:43.720 --> 0:24:46.760
<v Speaker 3>by asking you to just give your reaction to the

0:24:46.800 --> 0:24:48.840
<v Speaker 3>news we outlined well, and.

0:24:48.680 --> 0:24:50.560
<v Speaker 6>I'm just amused.

0:24:50.600 --> 0:24:54.960
<v Speaker 1>It's eleven years from a fundamental discovery in science.

0:24:54.560 --> 0:24:56.040
<v Speaker 6>To an approved therapeutic.

0:24:56.160 --> 0:24:59.680
<v Speaker 1>It's just extraordinary speed, and it speaks for the many,

0:24:59.680 --> 0:25:02.160
<v Speaker 1>many people that contributed to make that possible.

0:25:02.520 --> 0:25:05.040
<v Speaker 3>I posted on X the news, and what I was

0:25:05.080 --> 0:25:08.480
<v Speaker 3>surprised by is the number of people who responded saying

0:25:08.520 --> 0:25:12.120
<v Speaker 3>that they had been impacted by sickle cell disease, either

0:25:12.160 --> 0:25:16.440
<v Speaker 3>a family member, somebody they know. Could you just explain

0:25:16.560 --> 0:25:19.760
<v Speaker 3>the basics of what this treatment would do, how it

0:25:19.760 --> 0:25:21.160
<v Speaker 3>would work well.

0:25:21.200 --> 0:25:25.280
<v Speaker 1>Sickle cell disease is a human condition that results from

0:25:25.280 --> 0:25:29.679
<v Speaker 1>a single gene in our DNA that is defective, and

0:25:29.720 --> 0:25:32.160
<v Speaker 1>in patients that have two copies of that gene, they

0:25:32.200 --> 0:25:36.640
<v Speaker 1>have terrible symptoms. Pain crises they go through, it shortens

0:25:36.680 --> 0:25:41.400
<v Speaker 1>their lifespan. It's really a devastating disorder. And what chrispher

0:25:41.440 --> 0:25:45.120
<v Speaker 1>offers now is for some patients at least an opportunity

0:25:45.200 --> 0:25:47.679
<v Speaker 1>to have a treatment that is effectively a cure.

0:25:47.760 --> 0:25:48.440
<v Speaker 4>They don't.

0:25:48.880 --> 0:25:51.800
<v Speaker 1>They get a one and done therapy that removes their

0:25:51.840 --> 0:25:54.280
<v Speaker 1>symptoms for the rest of their life.

0:25:54.560 --> 0:25:59.600
<v Speaker 2>I'm interested in now the application, Jennifer, and ultimately, how

0:25:59.680 --> 0:26:01.760
<v Speaker 2>could you think this can be in the hands of

0:26:01.800 --> 0:26:07.080
<v Speaker 2>patients and really from an economic perspective and an equality perspective,

0:26:07.160 --> 0:26:08.920
<v Speaker 2>in the hands of patients when it's likely to be

0:26:08.960 --> 0:26:09.720
<v Speaker 2>pretty expensive.

0:26:11.240 --> 0:26:13.119
<v Speaker 1>Right Well, you bring up a very important point, and

0:26:13.160 --> 0:26:15.800
<v Speaker 1>that's a reason that we're working hard at the Innovative

0:26:15.840 --> 0:26:19.000
<v Speaker 1>Genomics Institute at the University of California to ensure that

0:26:19.119 --> 0:26:23.240
<v Speaker 1>this type of therapy becomes widely available and affordable, because,

0:26:23.280 --> 0:26:26.080
<v Speaker 1>as you point out, it's an expensive treatment right now,

0:26:26.119 --> 0:26:29.720
<v Speaker 1>and it also involves weeks of hospitalization to deliver the therapy.

0:26:29.840 --> 0:26:32.359
<v Speaker 1>So we really weren't want to figure out ways to

0:26:33.160 --> 0:26:37.560
<v Speaker 1>have new technologies intersecting with genomediting that will reduce class

0:26:37.640 --> 0:26:40.439
<v Speaker 1>and make it more available to people worldwide.

0:26:41.359 --> 0:26:44.480
<v Speaker 2>And talking of worldwide, the UK, the regulators there had

0:26:44.520 --> 0:26:47.760
<v Speaker 2>signed off the use of Chrispher cast nine. How do

0:26:47.800 --> 0:26:50.359
<v Speaker 2>you think this will become a global story. How do

0:26:50.400 --> 0:26:53.560
<v Speaker 2>you think that it will evolve to help other diseases

0:26:53.760 --> 0:26:56.240
<v Speaker 2>that currently affect in a pass down the generations.

0:26:57.320 --> 0:26:59.639
<v Speaker 1>Well, here's a very exciting thing about chrispher and that

0:26:59.760 --> 0:27:02.960
<v Speaker 1>is but it's a therapeutic that can be programmed for

0:27:03.080 --> 0:27:05.639
<v Speaker 1>different diseases. And now that we see the path forward

0:27:05.680 --> 0:27:09.360
<v Speaker 1>with sickle cell disease, which is amazing first start, it's

0:27:09.480 --> 0:27:11.480
<v Speaker 1>really the beginning of what I think will be a

0:27:11.480 --> 0:27:14.760
<v Speaker 1>new era of medicine where we have in the future

0:27:15.280 --> 0:27:18.520
<v Speaker 1>viewers for various kinds of genetic disorders and perhaps even

0:27:18.560 --> 0:27:22.520
<v Speaker 1>one day preventive treatments that result from modifying our genes.

0:27:23.800 --> 0:27:27.640
<v Speaker 3>The supply chain for these treatments is complicated, Jennifa, We've

0:27:27.680 --> 0:27:30.040
<v Speaker 3>covered on the show the idea that you do a

0:27:30.080 --> 0:27:33.880
<v Speaker 3>lot of the R and D and prelim manufacturing planning while.

0:27:33.640 --> 0:27:34.959
<v Speaker 4>It's pre approval.

0:27:35.640 --> 0:27:38.320
<v Speaker 3>Do you have confidence that there will be a sort

0:27:38.359 --> 0:27:42.720
<v Speaker 3>of availability of treatments for those that need them based

0:27:42.720 --> 0:27:46.240
<v Speaker 3>on the market's ability to make them to provide them.

0:27:47.800 --> 0:27:50.080
<v Speaker 1>Well, I do. I think it won't happen overnight, but

0:27:50.200 --> 0:27:53.840
<v Speaker 1>there's enormous effort going on, both in nonprofits and of

0:27:53.840 --> 0:27:56.960
<v Speaker 1>course in many companies to ensure that there will be

0:27:57.480 --> 0:28:01.400
<v Speaker 1>supply chain benefit. It's from this that we'll be able

0:28:01.440 --> 0:28:04.159
<v Speaker 1>to figure out how to get these products made and

0:28:04.200 --> 0:28:07.840
<v Speaker 1>the quantities that are needed. And I think that over time,

0:28:08.000 --> 0:28:10.359
<v Speaker 1>and it will take some time, there's going to be

0:28:10.560 --> 0:28:15.280
<v Speaker 1>some streamlining processes that will just advance the therapies and

0:28:15.480 --> 0:28:17.760
<v Speaker 1>make it more and more available to people around the world.

0:28:19.600 --> 0:28:24.720
<v Speaker 3>We outlined your twenty twenty Nobel Prize award. The work

0:28:24.760 --> 0:28:28.040
<v Speaker 3>that you've done is their work, at least at the

0:28:28.080 --> 0:28:31.560
<v Speaker 3>intersection of academia and biotechnology that still needs to be

0:28:31.600 --> 0:28:33.240
<v Speaker 3>done in this field. And if so, what are you

0:28:33.280 --> 0:28:34.080
<v Speaker 3>doing right now?

0:28:35.680 --> 0:28:38.360
<v Speaker 1>Yes, as I was driving to work this morning, I

0:28:38.480 --> 0:28:41.760
<v Speaker 1>was thinking, you know, this is a wonderful, exciting day,

0:28:42.280 --> 0:28:44.880
<v Speaker 1>but it's also the very beginning and there's a lot

0:28:44.920 --> 0:28:46.640
<v Speaker 1>of work to be done. It's time to roll up

0:28:46.640 --> 0:28:49.360
<v Speaker 1>our sleeves. I think we need to really work hard

0:28:49.360 --> 0:28:53.200
<v Speaker 1>to figure out how to, as we discussed, make these

0:28:53.640 --> 0:28:56.880
<v Speaker 1>therapies more widely available, of course bring down the cost,

0:28:57.000 --> 0:28:59.320
<v Speaker 1>and I think that will be a combination of technical

0:28:59.360 --> 0:29:03.160
<v Speaker 1>developments as well as working with regulators, working with patient

0:29:03.200 --> 0:29:07.640
<v Speaker 1>advocacy groups, and really figuring out how we appropriately partner

0:29:07.760 --> 0:29:11.680
<v Speaker 1>between academics and companies to control the cost in a

0:29:11.720 --> 0:29:15.480
<v Speaker 1>way that will make this benefit available to many.

0:29:15.880 --> 0:29:17.800
<v Speaker 2>And you do that, you are that sort of go

0:29:17.920 --> 0:29:20.800
<v Speaker 2>between between academia and helping advise companies. And I look

0:29:20.840 --> 0:29:23.720
<v Speaker 2>at Crispo, which the company involved here that has about

0:29:23.720 --> 0:29:26.800
<v Speaker 2>five billion dollar market capitalization. Vertex as a ninety billion

0:29:26.840 --> 0:29:29.880
<v Speaker 2>dollar market capitalization. Can put in the R and D spend.

0:29:29.960 --> 0:29:33.640
<v Speaker 2>But what about the money allocated to this field of

0:29:33.680 --> 0:29:36.280
<v Speaker 2>work at the moment, Jennifer, And where is the money

0:29:36.520 --> 0:29:37.800
<v Speaker 2>necessary to come from?

0:29:39.360 --> 0:29:42.160
<v Speaker 1>Well, it comes from various sources. Of course, investors are

0:29:42.160 --> 0:29:44.840
<v Speaker 1>playing a big role in these companies, but we're also

0:29:44.920 --> 0:29:49.440
<v Speaker 1>seeing big input from the governments. So you may know

0:29:49.520 --> 0:29:52.360
<v Speaker 1>the National Institutes of Help in the US has the

0:29:52.480 --> 0:29:56.720
<v Speaker 1>major effort to advance gena editing and the context of

0:29:56.800 --> 0:29:59.800
<v Speaker 1>gene and cell therapy, so that's very important. We have

0:30:00.080 --> 0:30:05.040
<v Speaker 1>other nonprofit organizations that do filmanthropic support of science. The

0:30:05.080 --> 0:30:07.520
<v Speaker 1>Gates Foundation comes to mind, but there are many others

0:30:07.600 --> 0:30:11.120
<v Speaker 1>who are supporting this. So there's a lot of effort

0:30:11.120 --> 0:30:14.360
<v Speaker 1>here and I think many people appreciate the potential of

0:30:14.400 --> 0:30:18.520
<v Speaker 1>genomeliting to impact large numbers of people if we can

0:30:18.640 --> 0:30:22.040
<v Speaker 1>really figure out how to reduce costs and make these

0:30:22.160 --> 0:30:26.680
<v Speaker 1>widely available therapies available to people around the world.

0:30:26.960 --> 0:30:29.080
<v Speaker 2>Of course, back in twenty twenty the world was in

0:30:29.120 --> 0:30:32.680
<v Speaker 2>a very different place, and the joy and necessary optimism

0:30:32.760 --> 0:30:39.400
<v Speaker 2>around leaps and bounds of creativity and technological development in science,

0:30:39.400 --> 0:30:42.280
<v Speaker 2>in particular medicine was really important. It feels that twenty

0:30:42.320 --> 0:30:44.600
<v Speaker 2>twenty three all the oxygen has been dragged out of the

0:30:44.640 --> 0:30:47.320
<v Speaker 2>room when it comes to AI innovation and generative AI.

0:30:47.880 --> 0:30:51.000
<v Speaker 2>To that end, there's a lot of discussion about safety,

0:30:51.160 --> 0:30:53.560
<v Speaker 2>and I know that's a big point for you, Jennifer.

0:30:53.640 --> 0:30:56.160
<v Speaker 2>How are you thinking about the application of crisper technologies

0:30:56.200 --> 0:30:58.280
<v Speaker 2>and ensuring that this is rolled out in the safest way,

0:30:58.320 --> 0:30:59.680
<v Speaker 2>manner and manner possible.

0:31:01.200 --> 0:31:03.400
<v Speaker 1>Well, it's a great question. It's very important. This is

0:31:03.400 --> 0:31:06.320
<v Speaker 1>one of our founding principles that are at our institute,

0:31:06.480 --> 0:31:11.960
<v Speaker 1>is ensuring safety and responsibility as chrisper technologies continue to advance.

0:31:12.520 --> 0:31:16.720
<v Speaker 1>I think it's for me one of the questions regarding

0:31:16.760 --> 0:31:19.880
<v Speaker 1>ethics is really about equity, and we've touched on that

0:31:20.440 --> 0:31:23.280
<v Speaker 1>a lot in this conversation. It's very important, but I

0:31:23.280 --> 0:31:25.800
<v Speaker 1>also think we have to continue to think about safety

0:31:26.080 --> 0:31:30.160
<v Speaker 1>and effectiveness of these therapies and to figure out really

0:31:30.160 --> 0:31:32.560
<v Speaker 1>how to work with regulators to ensure that we have

0:31:32.600 --> 0:31:35.840
<v Speaker 1>a process for testing the safety, but also that we

0:31:36.160 --> 0:31:40.040
<v Speaker 1>advance the therapy as quickly as we can to help patients.

0:31:40.160 --> 0:31:41.720
<v Speaker 1>It's a delicate balance.

0:31:42.440 --> 0:31:44.360
<v Speaker 3>But Jennifer, I want to return to the idea that

0:31:44.840 --> 0:31:47.959
<v Speaker 3>if sick will Sell is the start, what is the

0:31:48.000 --> 0:31:51.520
<v Speaker 3>next step, What is the next breakthrough that could help humankind.

0:31:53.160 --> 0:31:55.280
<v Speaker 1>Well, I'm very excited about a couple of things. I

0:31:55.320 --> 0:32:00.520
<v Speaker 1>think that certainly advancing the genomeediting approach into their types

0:32:00.560 --> 0:32:03.640
<v Speaker 1>of tissues will be important, and we're seeing some great

0:32:03.720 --> 0:32:08.160
<v Speaker 1>progress there in terms of especially for liver disease, work

0:32:08.200 --> 0:32:11.320
<v Speaker 1>being done by a company called Intellia that, for disclosure,

0:32:11.360 --> 0:32:13.360
<v Speaker 1>I'm a founder of, although I didn't do any of

0:32:13.400 --> 0:32:17.320
<v Speaker 1>the science they are doing, and they've shown effectiveness in

0:32:17.400 --> 0:32:21.840
<v Speaker 1>treating rare liver diseases using Chrisper genomeediting. And the important

0:32:21.880 --> 0:32:25.880
<v Speaker 1>thing there is they're delivering these molecules directly into patients

0:32:25.920 --> 0:32:29.040
<v Speaker 1>without requiring a bone marrow transplant which is required for

0:32:29.080 --> 0:32:32.280
<v Speaker 1>the sickle cell treatment. So I think that's an exciting advance.

0:32:32.680 --> 0:32:35.640
<v Speaker 1>And then there's also work to in the future provide

0:32:35.720 --> 0:32:39.960
<v Speaker 1>protective medicine for people who have genes that might make

0:32:40.000 --> 0:32:43.480
<v Speaker 1>them susceptible to cardiovascular disease, for example. So that's work

0:32:43.520 --> 0:32:45.000
<v Speaker 1>coming out of a company called VERB.

0:32:45.320 --> 0:32:46.520
<v Speaker 6>So I would keep an eye on those.

0:32:46.600 --> 0:32:50.040
<v Speaker 1>I think they're really exciting developments in the field going forward.

0:32:50.280 --> 0:32:52.640
<v Speaker 6>And developments that you keep out driving. Jennifer.

0:32:52.720 --> 0:32:55.040
<v Speaker 2>We really appreciate you making some time for us today

0:32:55.280 --> 0:32:57.440
<v Speaker 2>on this milestone here in the US. Jennifer Downa of

0:32:57.440 --> 0:33:01.040
<v Speaker 2>Correspound with the Innovative Genomics Institute, and of course chrisper

0:33:01.200 --> 0:33:01.880
<v Speaker 2>coh inventor.

0:33:02.280 --> 0:33:02.680
<v Speaker 6>Thank you.

0:33:03.440 --> 0:33:04.239
<v Speaker 1>Great to talk to you.

0:33:04.760 --> 0:33:05.720
<v Speaker 6>And we were just talking.

0:33:05.480 --> 0:33:07.520
<v Speaker 2>A bit about venture and the backing in medicine. Let's

0:33:07.520 --> 0:33:09.720
<v Speaker 2>talk about Harpoon Ventures raising one hundred and twenty five

0:33:09.720 --> 0:33:12.680
<v Speaker 2>million dollar fund and back early stage startups. We'll discuss

0:33:13.000 --> 0:33:15.959
<v Speaker 2>where that money is being allocated. That's Jensen's with us.

0:33:16.320 --> 0:33:17.440
<v Speaker 2>There's some blue meg technology.

0:33:33.520 --> 0:33:34.960
<v Speaker 4>It's time for the VC roundup.

0:33:35.000 --> 0:33:39.520
<v Speaker 3>First up Airspace Intelligence and AI startup targeting air travel

0:33:39.720 --> 0:33:42.000
<v Speaker 3>has raised thirty four million dollars in a funding round

0:33:42.080 --> 0:33:45.960
<v Speaker 3>lead by Andresen Horowitz to more aggressively pursued deals with

0:33:46.040 --> 0:33:49.600
<v Speaker 3>the US Department of Defense. The new financing brings a

0:33:49.600 --> 0:33:52.840
<v Speaker 3>bit of chunk of change to the equation. Meanwhile Group,

0:33:53.080 --> 0:33:56.680
<v Speaker 3>a Sam Outland backed crypto startup, has launched a bitcoin

0:33:56.840 --> 0:34:01.840
<v Speaker 3>private credit fund via its investment management Sidiery Meanwhile Advisors.

0:34:02.080 --> 0:34:04.960
<v Speaker 3>According to new reports, the fund is targeting a five

0:34:05.000 --> 0:34:09.320
<v Speaker 3>percent bitcoin denominated yield by lending bitcoin to borrowers.

0:34:09.480 --> 0:34:09.880
<v Speaker 4>Plus.

0:34:09.880 --> 0:34:14.800
<v Speaker 3>Harpoon Ventures, whose investors include Andresent Horowitz, veteran Pete Levine,

0:34:14.840 --> 0:34:18.080
<v Speaker 3>and former Olympic swimmer Michael Phelts, has raised one hundred

0:34:18.080 --> 0:34:20.080
<v Speaker 3>and twenty five million dollars for a new fund to

0:34:20.160 --> 0:34:24.800
<v Speaker 3>back early stage enterprise startups serving the public and private sectors.

0:34:24.880 --> 0:34:27.960
<v Speaker 2>Caroc's dig into that very story. Let's bring in Helping

0:34:28.040 --> 0:34:31.800
<v Speaker 2>Ventures founder Ausin Jensen for more on today's VC spotlight

0:34:31.880 --> 0:34:34.720
<v Speaker 2>and the money, the repeat.

0:34:34.880 --> 0:34:36.240
<v Speaker 6>Ability to raise money.

0:34:36.600 --> 0:34:39.239
<v Speaker 2>What is it that brings LPs back and have you

0:34:39.280 --> 0:34:40.920
<v Speaker 2>attracted new LPs for example?

0:34:41.000 --> 0:34:43.200
<v Speaker 11>Absolutely, it's a pleasure to be here and really appreciate

0:34:43.239 --> 0:34:46.239
<v Speaker 11>the time today. It's really a testament, I think to

0:34:46.280 --> 0:34:47.520
<v Speaker 11>what we built over the past.

0:34:47.360 --> 0:34:48.080
<v Speaker 4>Number of years.

0:34:48.120 --> 0:34:50.239
<v Speaker 11>When we started years ago, I really think that we

0:34:50.239 --> 0:34:54.240
<v Speaker 11>were the first to observe the emerging technology in startups.

0:34:54.280 --> 0:34:57.120
<v Speaker 11>We're going to have further reaching implications than they previously had,

0:34:57.120 --> 0:34:59.759
<v Speaker 11>at least in my lifetime. Maybe more specifically, they were

0:34:59.760 --> 0:35:03.879
<v Speaker 11>going to have national security and geopolitical implications that they

0:35:03.920 --> 0:35:06.480
<v Speaker 11>really hadn't until this current era. And we see this

0:35:06.520 --> 0:35:09.320
<v Speaker 11>more recently with the announcement by the Five Eyes of

0:35:09.400 --> 0:35:13.399
<v Speaker 11>Chinese Espionage. We see this with President Biden's Executive Order

0:35:13.480 --> 0:35:16.680
<v Speaker 11>on artificial Intelligence, and we're seeing it within our portfolio.

0:35:17.000 --> 0:35:18.560
<v Speaker 11>And so as we think about the LPs that are

0:35:18.560 --> 0:35:21.440
<v Speaker 11>re upping to us nowadays, there repeat LPs that have

0:35:21.480 --> 0:35:23.120
<v Speaker 11>been with us for the past five years, and we

0:35:23.200 --> 0:35:25.400
<v Speaker 11>certainly have brought on some new ones as well. But

0:35:25.440 --> 0:35:28.960
<v Speaker 11>it's no secret that LPs are actually struggling in this

0:35:29.120 --> 0:35:32.279
<v Speaker 11>environment due to the denominator effect, due to being over

0:35:32.360 --> 0:35:35.640
<v Speaker 11>allocated to private investments broadly speaking. But I think what

0:35:35.640 --> 0:35:38.040
<v Speaker 11>we built has been a testament to our progress over

0:35:38.040 --> 0:35:39.080
<v Speaker 11>the past six years.

0:35:39.239 --> 0:35:41.680
<v Speaker 2>And what's been interesting is you raise this fund at

0:35:41.680 --> 0:35:43.239
<v Speaker 2>a time where there is a lot of pand ringing

0:35:43.280 --> 0:35:47.680
<v Speaker 2>around artificial intelligence, future regulations, EOS being written, you still

0:35:47.680 --> 0:35:49.600
<v Speaker 2>try to get it back together with the AI act.

0:35:49.840 --> 0:35:52.080
<v Speaker 2>It's interesting that some of your portfolio companies already are

0:35:52.640 --> 0:35:55.920
<v Speaker 2>in the area of safety and AI. How have you

0:35:55.960 --> 0:35:58.560
<v Speaker 2>decided to switch companies a week from chaff in this

0:35:58.680 --> 0:35:59.560
<v Speaker 2>particular arena.

0:36:00.160 --> 0:36:02.360
<v Speaker 11>It's very difficult to do, and I think it's difficult

0:36:02.360 --> 0:36:05.160
<v Speaker 11>to do because the space is changing so drastically. So

0:36:05.200 --> 0:36:07.920
<v Speaker 11>when we think about what we're investing in, we're investing

0:36:07.920 --> 0:36:10.239
<v Speaker 11>in things from a first principle standpoint where we have

0:36:10.520 --> 0:36:15.399
<v Speaker 11>generally speaking, domain expert technologists who have a core defensible technology.

0:36:15.920 --> 0:36:20.200
<v Speaker 11>There are serial entrepreneurs oftentimes, and we're very customer obsessed.

0:36:20.239 --> 0:36:22.840
<v Speaker 11>We think that there's no greater gauge than talking to

0:36:22.880 --> 0:36:26.400
<v Speaker 11>the early customers of these technologies to understand the pain points,

0:36:26.560 --> 0:36:30.040
<v Speaker 11>to understand the budgets, and align those with our investment decisions.

0:36:31.280 --> 0:36:34.360
<v Speaker 3>Really interested in Stratus as an example, right of a

0:36:34.400 --> 0:36:38.240
<v Speaker 3>target company or a portfolio company. There are a section

0:36:38.320 --> 0:36:41.200
<v Speaker 3>of the VC community that kind of say, hey, our

0:36:41.239 --> 0:36:44.320
<v Speaker 3>portfolio companies have access to a lot of public capital,

0:36:44.600 --> 0:36:49.160
<v Speaker 3>whether it's defense or government or municipal. Does that make

0:36:49.200 --> 0:36:52.440
<v Speaker 3>for an attractive potential investment for you guys?

0:36:52.680 --> 0:36:53.720
<v Speaker 4>It does but I think.

0:36:53.520 --> 0:36:55.120
<v Speaker 11>The way we put it it needs to be dual

0:36:55.200 --> 0:36:57.320
<v Speaker 11>use in nature, we like to see companies with a

0:36:57.400 --> 0:36:59.719
<v Speaker 11>large addressable market in the enterprise and in the case

0:36:59.760 --> 0:37:02.880
<v Speaker 11>of a strawas they're selling predominantly to internet service providers

0:37:02.920 --> 0:37:05.640
<v Speaker 11>around the world. But our thesis in investing with them

0:37:05.680 --> 0:37:07.960
<v Speaker 11>and in subsequoling and helping with them was to do

0:37:08.040 --> 0:37:10.319
<v Speaker 11>business with Uncle Sam as well. And we think that's

0:37:10.360 --> 0:37:12.719
<v Speaker 11>a large scale, durable market for that company, and I

0:37:12.760 --> 0:37:16.000
<v Speaker 11>think really should increase the possible outcome of what that

0:37:16.040 --> 0:37:16.640
<v Speaker 11>company can do.

0:37:17.920 --> 0:37:21.759
<v Speaker 3>Luson what was the experience of raising the fund? How

0:37:21.800 --> 0:37:24.360
<v Speaker 3>long did it take? Was it challenging, was it easy?

0:37:24.719 --> 0:37:26.840
<v Speaker 3>Were you being pushed? We you do in the pushing

0:37:27.480 --> 0:37:28.239
<v Speaker 3>a little bit of both.

0:37:28.280 --> 0:37:30.319
<v Speaker 11>I think that this year, in twenty twenty three, it's

0:37:30.360 --> 0:37:32.360
<v Speaker 11>no secret that it was much more difficult than in

0:37:32.400 --> 0:37:33.440
<v Speaker 11>twenty twenty one.

0:37:33.640 --> 0:37:35.319
<v Speaker 4>In twenty twenty one, investors and.

0:37:35.320 --> 0:37:38.879
<v Speaker 11>Allocators and limited partners were really jumping both feet into

0:37:38.880 --> 0:37:42.040
<v Speaker 11>the pool, maybe diving into the pool adventure capital, probably

0:37:42.120 --> 0:37:45.479
<v Speaker 11>led by large scale IPOs, and getting cash back into

0:37:45.520 --> 0:37:48.480
<v Speaker 11>their wallets for them to redeploy. The IPO window has

0:37:48.480 --> 0:37:51.120
<v Speaker 11>been effectively shut, as we've seen since then, and so

0:37:51.200 --> 0:37:53.239
<v Speaker 11>it really puts allocators in a little bit of a

0:37:53.280 --> 0:37:55.880
<v Speaker 11>bind in terms of where they allocate that incremental dollar.

0:37:56.360 --> 0:37:58.840
<v Speaker 11>And it's also no secret that the opportunity cost of

0:37:58.840 --> 0:38:02.080
<v Speaker 11>capital has gone up. Many of the institutional investors out

0:38:02.120 --> 0:38:05.440
<v Speaker 11>there have about eight percent target on their overarching endowment

0:38:05.520 --> 0:38:08.440
<v Speaker 11>or foundation, and now you can essentially get that not

0:38:08.520 --> 0:38:11.400
<v Speaker 11>necessarily risk free, but much more so than allocating to

0:38:11.920 --> 0:38:15.560
<v Speaker 11>longer horizon asset classes like venture capital. So it took

0:38:15.560 --> 0:38:17.680
<v Speaker 11>a little bit longer, but I think we're fortunate that

0:38:17.719 --> 0:38:20.080
<v Speaker 11>we have durable capital partners that have worked with us

0:38:20.120 --> 0:38:22.359
<v Speaker 11>for the past six years, and the majority of which

0:38:22.360 --> 0:38:24.080
<v Speaker 11>have really stepped up to the plate to continue to

0:38:24.080 --> 0:38:24.520
<v Speaker 11>back us.

0:38:25.480 --> 0:38:29.120
<v Speaker 2>You mentioned the word pool, and I mean ask a

0:38:29.160 --> 0:38:31.279
<v Speaker 2>personal question, because my new people will recognize you for

0:38:31.320 --> 0:38:33.040
<v Speaker 2>the fact that you've got not one.

0:38:32.920 --> 0:38:35.320
<v Speaker 6>But two Olympic medals.

0:38:35.400 --> 0:38:38.600
<v Speaker 2>You're of course still deeply involved in jumping in the

0:38:38.640 --> 0:38:41.000
<v Speaker 2>sea every now and then, and I'm interested as to

0:38:41.040 --> 0:38:43.840
<v Speaker 2>how that mentality has affected the way in which you

0:38:43.960 --> 0:38:46.960
<v Speaker 2>raise money or actually and allocate.

0:38:46.560 --> 0:38:47.240
<v Speaker 6>And do business.

0:38:47.719 --> 0:38:49.799
<v Speaker 2>Actually does it make because people know who you are

0:38:49.840 --> 0:38:51.680
<v Speaker 2>and what you were dedicated to them more willing to

0:38:51.680 --> 0:38:52.359
<v Speaker 2>invest in you too.

0:38:52.800 --> 0:38:55.000
<v Speaker 11>I think it's a combination of attributes, to be honest,

0:38:55.040 --> 0:38:57.160
<v Speaker 11>and I think that really the wraw ingredients that I

0:38:57.280 --> 0:38:59.960
<v Speaker 11>used as an adolescent young swimmer going from high school

0:39:00.040 --> 0:39:02.640
<v Speaker 11>into professional swimming and going to the Olympics are the

0:39:02.760 --> 0:39:05.360
<v Speaker 11>ingredients of waking up early, grinding it out, and investing

0:39:05.360 --> 0:39:08.719
<v Speaker 11>in myself for decades, perhaps in order to make an

0:39:08.719 --> 0:39:11.799
<v Speaker 11>Olympic appearance. I think investing in venture capital is very

0:39:11.800 --> 0:39:14.880
<v Speaker 11>similar in the sense that you can't control necessarily the outputs,

0:39:15.080 --> 0:39:17.719
<v Speaker 11>but you can't control the inputs. You can control day

0:39:17.760 --> 0:39:19.000
<v Speaker 11>in and day out if you're going to be the

0:39:19.040 --> 0:39:21.520
<v Speaker 11>first in the pool and the last out, And ultimately

0:39:21.520 --> 0:39:23.640
<v Speaker 11>that's the effort we expect of our team and we

0:39:23.680 --> 0:39:25.759
<v Speaker 11>expect of our founders, and that's what we bring to

0:39:25.800 --> 0:39:26.920
<v Speaker 11>bear when we work with them.

0:39:27.040 --> 0:39:29.480
<v Speaker 2>In still a record holder in four hundred meter freestyle,

0:39:29.600 --> 0:39:31.319
<v Speaker 2>not to mention next Navy seal. We thank you so

0:39:31.400 --> 0:39:34.920
<v Speaker 2>much helping Ventures founder and general partner Nelson Jensen.

0:39:43.160 --> 0:39:45.479
<v Speaker 6>It's the latest edition of Blue Boy Business Week, and it.

0:39:45.360 --> 0:39:48.839
<v Speaker 2>Takes a deep dive into salesforce, particularly an environment that's

0:39:49.000 --> 0:39:51.799
<v Speaker 2>actually much harsher than it was pre pandemic, and it's

0:39:51.840 --> 0:39:56.440
<v Speaker 2>impacting tech firms across the broad This particular breakdown of

0:39:56.560 --> 0:39:58.960
<v Speaker 2>his piece the era of eight hundred dollars dinners and

0:39:59.000 --> 0:40:02.920
<v Speaker 2>luxury car bonuses over at Salesforce. That's why again Bloomberg's

0:40:02.920 --> 0:40:05.920
<v Speaker 2>Brodie Ford. It's a great cover, it's a great story,

0:40:06.120 --> 0:40:09.280
<v Speaker 2>and you really take a look at one particular individuals

0:40:09.320 --> 0:40:13.359
<v Speaker 2>sort of rise within sales role and ultimately how much

0:40:13.400 --> 0:40:16.960
<v Speaker 2>he was winning and bringing in what has changed CRM now.

0:40:17.120 --> 0:40:19.319
<v Speaker 12>So there was a while where at Salesforce and the

0:40:19.320 --> 0:40:22.160
<v Speaker 12>industry at large, you show up, you had a nice smile,

0:40:22.840 --> 0:40:25.239
<v Speaker 12>you can make four hundred k. I mean, software was

0:40:25.280 --> 0:40:27.880
<v Speaker 12>flying off the shelves. We saw entire industries had to

0:40:27.920 --> 0:40:30.600
<v Speaker 12>digitize in the pandemic. And even before that, I mean

0:40:30.640 --> 0:40:32.799
<v Speaker 12>there was just really this kind of golden era of

0:40:32.840 --> 0:40:35.560
<v Speaker 12>these software companies because there were so many customers.

0:40:35.600 --> 0:40:36.959
<v Speaker 4>Everybody needed to digitize.

0:40:37.440 --> 0:40:40.600
<v Speaker 12>Obviously, interest rates have gone up, the economic picture is

0:40:40.640 --> 0:40:42.920
<v Speaker 12>different and companies are saying, how the hell did we

0:40:43.080 --> 0:40:45.720
<v Speaker 12>was spending so much money on software, which has caused

0:40:45.719 --> 0:40:48.399
<v Speaker 12>companies like salesforces say, okay, we need to actually start

0:40:48.400 --> 0:40:51.960
<v Speaker 12>cutting costs. Where the costs with salespeople, so the job

0:40:52.000 --> 0:40:52.800
<v Speaker 12>gets a lot harder.

0:40:53.000 --> 0:40:57.080
<v Speaker 3>Mm hm, Brady, you got to shout out from Mark Bennioff,

0:40:57.800 --> 0:41:00.440
<v Speaker 3>the CEO Salesforce, says, you know, and I know you

0:41:00.520 --> 0:41:03.080
<v Speaker 3>write about somebody's company, it can go one way or another.

0:41:03.880 --> 0:41:06.520
<v Speaker 3>He seems to agree with the thesis outline in your peace.

0:41:07.920 --> 0:41:09.879
<v Speaker 12>I think they know that they need to be seen

0:41:09.880 --> 0:41:11.600
<v Speaker 12>as the bad guy for a little bit right now,

0:41:11.640 --> 0:41:14.080
<v Speaker 12>because remember they had all these activists investors a year

0:41:14.080 --> 0:41:16.680
<v Speaker 12>ago that were saying, you are not raising your profit

0:41:16.719 --> 0:41:20.320
<v Speaker 12>margins quickly enough. Essentially, this story shows what it looks

0:41:20.400 --> 0:41:23.200
<v Speaker 12>like when you raise your profit margins ten percentage points

0:41:23.200 --> 0:41:27.000
<v Speaker 12>in six months, things get harder. Salesforce is aware that

0:41:27.040 --> 0:41:29.560
<v Speaker 12>they need to be doing that, and they, I think

0:41:29.600 --> 0:41:31.760
<v Speaker 12>are happy to see it explained.

0:41:32.440 --> 0:41:34.840
<v Speaker 2>You go into detail that Bennioff himself is a really

0:41:34.960 --> 0:41:38.959
<v Speaker 2>a natural salesman. What sort of talent are they now

0:41:39.000 --> 0:41:42.239
<v Speaker 2>focusing in on? What if it's not a nice smile, Like,

0:41:42.320 --> 0:41:43.840
<v Speaker 2>what do they have to bring to the table? And

0:41:43.880 --> 0:41:45.680
<v Speaker 2>how is that the read across the rest of the

0:41:45.719 --> 0:41:46.920
<v Speaker 2>sales community.

0:41:47.120 --> 0:41:49.359
<v Speaker 4>Yeah, well, you know they still have salespeople.

0:41:49.400 --> 0:41:51.120
<v Speaker 12>It's funny is that they're just kind of hiring more

0:41:51.120 --> 0:41:53.520
<v Speaker 12>engineers now, you know, I mean when.

0:41:53.320 --> 0:41:55.600
<v Speaker 6>They're looking to Amazon, they're on marketplace, right.

0:41:55.719 --> 0:41:58.360
<v Speaker 12>I mean, when they hired thirty thousand people in the pandemic,

0:41:58.560 --> 0:42:01.520
<v Speaker 12>majority of those were salespeople, whereas now in the layoffs,

0:42:01.520 --> 0:42:03.000
<v Speaker 12>the majority cut or salespeople.

0:42:03.239 --> 0:42:04.399
<v Speaker 6>And so they're really just.

0:42:04.360 --> 0:42:06.120
<v Speaker 12>Focusing in on what's going to get us to the

0:42:06.160 --> 0:42:08.000
<v Speaker 12>next level, and a lot of that is having to

0:42:08.000 --> 0:42:10.480
<v Speaker 12>build new products. And we're seeing that across the industry.

0:42:10.520 --> 0:42:12.400
<v Speaker 12>I mean, there's a lot of high flying startups. You

0:42:12.440 --> 0:42:14.799
<v Speaker 12>can name any of them, Zoom, Twillia, doesn't matter. They

0:42:14.880 --> 0:42:17.200
<v Speaker 12>had a similar trajectory and now they're having a similar

0:42:17.200 --> 0:42:17.800
<v Speaker 12>bus cycle.

0:42:19.000 --> 0:42:21.880
<v Speaker 2>On that happy note, we'll leave it, but it's a

0:42:21.920 --> 0:42:25.160
<v Speaker 2>phenomenal story. It's getting a lot of pickup across online

0:42:25.200 --> 0:42:27.600
<v Speaker 2>and go pick it off a shelf or how you

0:42:27.640 --> 0:42:30.760
<v Speaker 2>consume of course your business week. Bloombog's body forward really

0:42:30.760 --> 0:42:33.560
<v Speaker 2>interesting deep dive into salesforce. While that does it for

0:42:33.600 --> 0:42:35.120
<v Speaker 2>this edition of Bloombog Technology ed.

0:42:36.080 --> 0:42:38.480
<v Speaker 4>In a relentless year and another relentless week. A lot

0:42:38.480 --> 0:42:39.000
<v Speaker 4>to recap.

0:42:39.080 --> 0:42:42.560
<v Speaker 3>Check out the pod, the Bloomberg Technology podcasts and Apple Spotify,

0:42:42.680 --> 0:42:46.400
<v Speaker 3>iHeart and we post It's Bloomberg and We're on YouTube

0:42:46.600 --> 0:42:48.120
<v Speaker 3>from San Francisco and New York City.

0:42:48.120 --> 0:42:50.360
<v Speaker 4>Happy Friday. This is Bloomberg Technology.