WEBVTT - Nvidia Reports and Palo Alto Drops

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From the Heart where Innovation, money and power. Collie in Silicon.

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<v Speaker 3>Valley, NBN.

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<v Speaker 4>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 5>I'm Caroline Heid at Bloomberg's weltad quarters in New York.

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<v Speaker 5>Ed Ludlow he is off. This is Bloomberg Technology coming up.

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<v Speaker 1>All eyes on Nvidia as.

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<v Speaker 5>The one point seven trillion dollar chip company. It gears

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<v Speaker 5>up for earnings results after the bell. Full coverage ahead,

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<v Speaker 5>plus we stick with earnings and Palo Alto Networks heading

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<v Speaker 5>for its biggest drop ever as customers face spending fatigue

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<v Speaker 5>in cybersecurity will bring you those numbers. And Google looks

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<v Speaker 5>to build an overen source AI community with the launch

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<v Speaker 5>of its new model Gemma, built on the same technology

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<v Speaker 5>as it's Gemini LLM. We'll discuss that and so much

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<v Speaker 5>more throughout the hour, but first let's check in on

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<v Speaker 5>these markets, because look, we are seeing a little bit

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<v Speaker 5>fatigue when we call it in terms of purchasing of

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<v Speaker 5>tech stocks.

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<v Speaker 1>Right now.

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<v Speaker 5>We are all waiting and watching to see whether the

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<v Speaker 5>AI hype can be borne out in the.

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<v Speaker 1>Reality of revenue.

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<v Speaker 5>Uptic over it in video Nazdac off by six tens percent.

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<v Speaker 5>Interesting Chinese stocks moving a little bit higher on those

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<v Speaker 5>US traded ones that ultimately is being seen as China

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<v Speaker 5>is putting in place and restrictions on selling maasbely getting

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<v Speaker 5>out of certain stocks and the open and the close

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<v Speaker 5>of their trade.

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<v Speaker 1>Could this support the market in the stock.

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<v Speaker 5>Inflow and see some sort of rebound that's been reflected

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<v Speaker 5>here in the US trade. I'm looking at bitcoin under

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<v Speaker 5>pressure just by one point eight percent. We're still at

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<v Speaker 5>about a fifty one thousand dollars handle, but still a

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<v Speaker 5>little bit of risk aversion today that sinks into that

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<v Speaker 5>particular area of risk assets.

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<v Speaker 1>Move on and have a look at one of the

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<v Speaker 1>individual movers are doing on a.

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<v Speaker 5>Day like today, because look, I've got to focus on

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<v Speaker 5>what's been happening more broadly on the world of palle

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<v Speaker 5>Alt networks as you see twenty six percent lower, a

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<v Speaker 5>quarter of its market capitalization erased on one day, as

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<v Speaker 5>they look actually on their fiscal quarter that they just

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<v Speaker 5>had lived up to expectations, but their forecast is where

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<v Speaker 5>we're worried about bytes technology. Interesting one traded over in

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<v Speaker 5>the UK off by more than nine percent as the

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<v Speaker 5>CEO suddenly steps down as he said, they's been making

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<v Speaker 5>some trades and not been telling executives or shareholders. That's

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<v Speaker 5>a UKAI and cyber and software company to keep an

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<v Speaker 5>eye on. And in Vidia, as we say, down some

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<v Speaker 5>two percent ahead of their earnings. Look, we are all

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<v Speaker 5>waiting and watching as to whether this one point seven

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<v Speaker 5>trillion dollar company can live up to the two hundred

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<v Speaker 5>percent growth in revenue that market is anticipating. Kunjin Sabani

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<v Speaker 5>is here with us. I'm so policed to say, Bloomberg

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<v Speaker 5>Intelligence More and Nvidia and just tell us a little

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<v Speaker 5>bit ultimately where the warriors. Has the market priced in

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<v Speaker 5>the right sort of level of growth for this earnings number?

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<v Speaker 6>Definitely? I mean, look the market the stock is price

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<v Speaker 6>for perfection, and we again expect a robust print and guide.

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<v Speaker 6>The supply has come in strong. Lead times have shrunk,

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<v Speaker 6>but so has the demand and continues to still outface supply,

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<v Speaker 6>especially as momentum in enterprise AI spending continues to rise,

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<v Speaker 6>so that increases the odds of another beaten rise.

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<v Speaker 5>And they are integral to AI infrastructure. They are integral

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<v Speaker 5>to building out of AI models. What's interesting though, is

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<v Speaker 5>in the past China has been integral to it.

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<v Speaker 1>Are we likely to get any guidance.

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<v Speaker 5>On how much geopolitics still affects the business and how

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<v Speaker 5>much they can sell ince that country.

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<v Speaker 6>Yes, I mean recently, you know, Jensen has been sort

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<v Speaker 6>of on a world whore meeting with heads of different

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<v Speaker 6>governments and different geographies, including China. So we do expect

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<v Speaker 6>some kind of commentary on that. The numbers for this

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<v Speaker 6>quarter have been dealers that China will be significantly lower

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<v Speaker 6>than what we have seen in the past, but in

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<v Speaker 6>the near term we think they can offset the demand

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<v Speaker 6>that they could have shipped to China by shipping to

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<v Speaker 6>other regions, which again continue to see significant increase in demand.

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<v Speaker 5>We will see how all of that lives off. I mean, really, Kunjen.

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<v Speaker 5>What's been so interesting has been some of the take

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<v Speaker 5>from other analysts out there today, Scott Rubner, Goldman Sachs.

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<v Speaker 5>What he's saying in Vidio is the most important stock

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<v Speaker 5>on planet Earth. We'll see how you analyze that stock

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<v Speaker 5>a little bit later. Being meg Intelligence analyst Punchin Sabani,

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<v Speaker 5>thank you so much for the breakdown ahead of those

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<v Speaker 5>numbers after the bell.

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<v Speaker 1>But let's make this broader.

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<v Speaker 5>Let's see how this particular stock fits in with the

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<v Speaker 5>rest of the industry group and indeed markets more generally

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<v Speaker 5>so pleased to welcome Chris and Bitterly, City Group Wealth,

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<v Speaker 5>head of Investment Solutions to the show and Kristin. When

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<v Speaker 5>you think about the most important stock on planet Earth,

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<v Speaker 5>I mean.

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<v Speaker 1>Is this the bell weather?

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<v Speaker 5>Do we sort of throw all the FED concerns and

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<v Speaker 5>talk and print that we're going to get from FED

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<v Speaker 5>minutes out the window.

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<v Speaker 7>This is clearly the key catalyst, at least for today

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<v Speaker 7>and maybe this week. But I think, look, this is

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<v Speaker 7>earnings after the close today. It's really about whether or

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<v Speaker 7>not this AI story has more legs in terms of

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<v Speaker 7>the momentum that we've seen in the market. I think

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<v Speaker 7>one of the things that we're looking at though, is

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<v Speaker 7>we can talk about the Magnificent seven, we can talk

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<v Speaker 7>about the concentration in market breadth, but it has been

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<v Speaker 7>backed up by delivering superior earnings. And when you have

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<v Speaker 7>earnings growth that's in the ballpark of twenty five percent plus,

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<v Speaker 7>it is something that actually compels the valuations that we

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<v Speaker 7>see and actually continued inflows into these companies.

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<v Speaker 5>Some might say actually in Vidio remarkably cheap in comparison

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<v Speaker 5>to where we've seen in terms of the run up

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<v Speaker 5>of the overall share price. But the spillover effects here,

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<v Speaker 5>the fact that people are looking out for anything that

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<v Speaker 5>has AI in its name. Many have felt that it's

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<v Speaker 5>kind of a rerun of crypto in some way, But

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<v Speaker 5>are they justified from your perspective. More broadly, on a

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<v Speaker 5>macro perspective, Walt productivity is going to be born out

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<v Speaker 5>for these companies.

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<v Speaker 7>I think when we look at these very large companies

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<v Speaker 7>that have performed quite well, we have to remember just

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<v Speaker 7>going back to twenty twenty two, they did not perform

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<v Speaker 7>well at all, So you were saying quite the opposite

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<v Speaker 7>story where you saw declines of fifty sixty plus percent. Now,

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<v Speaker 7>looking at this, like I said, it is backed up

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<v Speaker 7>by earnings. You're looking at the Magnificent seven represent close

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<v Speaker 7>to twenty percent of the earnings contribution of the US

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<v Speaker 7>equity market. We're only going back to twenty seventeen it

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<v Speaker 7>was five percent, So they have delivered in earnings growth.

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<v Speaker 7>I do think though as an investor, it's important to

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<v Speaker 7>have exposure here, but it's also important to have exposure

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<v Speaker 7>as to who are the beneficiaries the play when it

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<v Speaker 7>comes to the technology and the enablers very clear. I

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<v Speaker 7>think the adopters is where investors are really looking for

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<v Speaker 7>gains within twenty twenty four.

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<v Speaker 1>Okay, so dig into that.

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<v Speaker 5>Is it going for specific names in healthcare, specific names

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<v Speaker 5>in industry that have managed tool cup a good game

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<v Speaker 5>in AI or do you have to see the proof

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<v Speaker 5>in the pudding before you stop audocating money.

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<v Speaker 7>I think it's a little bit of a show me

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<v Speaker 7>story in twenty twenty four. I think you know, when

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<v Speaker 7>you just look at AI in terms of the number

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<v Speaker 7>of times it's been mentioned in earnings calls, it's come down.

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<v Speaker 7>I think, like last quarter it was six thousand times

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<v Speaker 7>and now it's about two thousand. But I do think

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<v Speaker 7>that when you look at sectors that stand to benefit

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<v Speaker 7>from this. I know cybersecurity very much in the news

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<v Speaker 7>based on last night's earnings, But you look at something

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<v Speaker 7>like cybersecurity and you say, okay, comparing the run up

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<v Speaker 7>of that sector versus the broader AI magnificent seven, there's

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<v Speaker 7>a comparative difference there, and evaluation difference actually on a

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<v Speaker 7>forward pe basis. You're looking at valuations that we haven't

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<v Speaker 7>seen since twenty twenty within that sector, and when I

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<v Speaker 7>think of the applications and the adopters of GENAI, not

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<v Speaker 7>only in an area with cybersecurity, does that increase the

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<v Speaker 7>total addressable market and the demand side of the equation.

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<v Speaker 7>But there are real productivity gains when it comes to

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<v Speaker 7>what used to take a security analyst hours to do

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<v Speaker 7>can come down to minutes. And we're going to see

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<v Speaker 7>those productivity gains in twenty twenty four.

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<v Speaker 1>Maybe not macro.

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<v Speaker 5>For US, there has been a perspective that the FED

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<v Speaker 5>is going to stop maybe talking about the productivity gains

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<v Speaker 5>the AI can bring more broadly to the US labor

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<v Speaker 5>force and the fact that we do have a tight

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<v Speaker 5>labor force, people still wanting to be hard. We do

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<v Speaker 5>seem to see growth within it. Will we see productivity gains?

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<v Speaker 5>Do you think more broadly in a macro perspective.

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<v Speaker 7>I think from a macro perspective, we have to go

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<v Speaker 7>back to even though we've seen volatility and the inflation print,

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<v Speaker 7>we have to go back to what we know is

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<v Speaker 7>true and where we're going to see flows from an

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<v Speaker 7>investing standpoint, So what we to be true right now?

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<v Speaker 7>We know that there's six trillion dollars sitting on the

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<v Speaker 7>sidelines in money market funds that has increased by one

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<v Speaker 7>and a half trillion dollars since the FED started its

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<v Speaker 7>hiking cycle. We know that we're at peak FED funds rates.

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<v Speaker 7>The question is when does the FED start cutting. I

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<v Speaker 7>don't think there's too many arguments that the FED would

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<v Speaker 7>resume a hiking cycle. Inflation, we knew it was going

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<v Speaker 7>to be a bumpy ride down to the.

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<v Speaker 1>Two percent target.

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<v Speaker 7>We see a path maybe down to two and a

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<v Speaker 7>half percent by the end of this year. And earnings

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<v Speaker 7>have troughed, and I think that's an important thing when

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<v Speaker 7>we look at this broadening, not only just because of

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<v Speaker 7>inflation coming down, raids coming down, cash on the sidelines,

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<v Speaker 7>Earnings troughed and Q three of last year and now

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<v Speaker 7>we're seeing more sectors turn to profitability, So you have

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<v Speaker 7>a profitability argument in addition to then productivity gains.

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<v Speaker 5>And it might be an argument therefore, when you come

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<v Speaker 5>back to your theme of cyber of buying on weakness.

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<v Speaker 5>What we love about having you on shows across on

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<v Speaker 5>network is the themes that you bring. Where else are

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<v Speaker 5>you seeing sort of forces that cannot be argued with

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<v Speaker 5>even in a Federal Reserve that potentially doesn't stop costing

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<v Speaker 5>as soon as we anticipate.

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<v Speaker 7>Another area that we love, and you're probably going to

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<v Speaker 7>laugh because you've heard me talk about this for years,

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<v Speaker 7>is longevity and investing in It's very tech.

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<v Speaker 1>It really does it kind of does work.

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<v Speaker 7>So we'll bring it full circle in terms of AI

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<v Speaker 7>gains there as well. But longevity is another area that

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<v Speaker 7>was left behind last year. So when you look at healthcare,

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<v Speaker 7>it was really exclusively about GLP one drugs until the

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<v Speaker 7>last two months of the year, and then biotech started

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<v Speaker 7>to get a little bit of a bid, med tech

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<v Speaker 7>started to get a little bit of a bid, and

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<v Speaker 7>life sciences. And so this is the same type of

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<v Speaker 7>argument when you think of productivity gains, when you think

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<v Speaker 7>of enhancements, when you think of what technology can do

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<v Speaker 7>in bringing down the cost of healthcare, there are a

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<v Speaker 7>lot of compelling valuation opportunities, both for the short term but.

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<v Speaker 1>Also for the long term.

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<v Speaker 5>We love the themes, you love the perspective the macro commentary.

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<v Speaker 5>Thanks so much, con thank you. Enjoy the healthy dose

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<v Speaker 5>of an exalt to the bell. Christian Visilicious City Group Wealth,

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<v Speaker 5>Head of Investment Solutions, Apple it's upgrading the security of

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<v Speaker 5>as I message app to fend off a looming future threat,

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<v Speaker 5>advanced quantum computing attacks. Let's bring in blue mugs Mark

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<v Speaker 5>German for more.

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<v Speaker 1>And we talk a lot.

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<v Speaker 5>About quantum computing, but the reality hasn't yet arrived.

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<v Speaker 1>Blapple wants to front run that.

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<v Speaker 2>Yeah, thank you so much for having me. That's right,

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<v Speaker 2>quantum computing. Some estimates indicate that these types of computers,

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<v Speaker 2>which are super duper computers, not just supercomputers so to speak,

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<v Speaker 2>won't arrive until the tail end of the decade or

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<v Speaker 2>deep into the twenty thirties. But Apple's starting to prepare

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<v Speaker 2>for that with I Message. Let me tell you why.

0:10:42.240 --> 0:10:46.800
<v Speaker 2>There is something called harvest now decrypt later attacks. Right.

0:10:47.080 --> 0:10:49.679
<v Speaker 2>What that means is someone could steal some data now,

0:10:50.080 --> 0:10:54.360
<v Speaker 2>even though it's unbreakable now, quantum computers in the future

0:10:54.400 --> 0:10:55.600
<v Speaker 2>may be able to break it open.

0:10:55.880 --> 0:10:56.120
<v Speaker 6>Right.

0:10:56.320 --> 0:10:58.920
<v Speaker 2>So Apple wants to stop that from happening. They don't

0:10:58.960 --> 0:11:01.680
<v Speaker 2>want someone to collect or steal someone's IM message data

0:11:01.960 --> 0:11:04.280
<v Speaker 2>in the year twenty twenty five and then crack it

0:11:04.320 --> 0:11:06.840
<v Speaker 2>open in twenty thirty two. And so that's what this

0:11:06.920 --> 0:11:10.400
<v Speaker 2>new I Message PQ three technology is going to do.

0:11:10.559 --> 0:11:14.880
<v Speaker 2>It's much improved encryption for the platform. It's rolling out

0:11:15.600 --> 0:11:18.760
<v Speaker 2>next month when Apple releases its next software updates, iOS

0:11:18.800 --> 0:11:21.719
<v Speaker 2>seventeen point four being the big one, and then it's

0:11:21.760 --> 0:11:25.319
<v Speaker 2>going to become the default for all I message conversations

0:11:25.480 --> 0:11:26.600
<v Speaker 2>by the end of this year.

0:11:26.920 --> 0:11:29.640
<v Speaker 5>And saying it's more efficient of effective at least than

0:11:29.640 --> 0:11:32.160
<v Speaker 5>the signal, of course than other competitors out there.

0:11:32.160 --> 0:11:32.640
<v Speaker 1>What's happen?

0:11:32.640 --> 0:11:35.160
<v Speaker 5>They're like, Mark, I'm interested, and also that you're reporting

0:11:35.160 --> 0:11:38.000
<v Speaker 5>that you've done overnight on Really some executive changes going

0:11:38.040 --> 0:11:38.480
<v Speaker 5>on at Apple.

0:11:38.480 --> 0:11:40.000
<v Speaker 1>This seems to be a never ending story.

0:11:41.160 --> 0:11:43.840
<v Speaker 2>Yeah, it's interesting. More executive changes at Apple, this one

0:11:43.920 --> 0:11:47.679
<v Speaker 2>in its audio division. Gary Jeeves, who's their vice president

0:11:47.679 --> 0:11:51.120
<v Speaker 2>of Acoustics, one of their top executives related to audio,

0:11:52.040 --> 0:11:54.559
<v Speaker 2>really has been the leader and at the forefront of

0:11:54.559 --> 0:11:57.520
<v Speaker 2>the development of air pods over the last decade or so,

0:11:58.200 --> 0:12:01.320
<v Speaker 2>which obviously now is a fifteen to twenty billion dollars

0:12:01.280 --> 0:12:04.640
<v Speaker 2>a year business for Apple. He has stepped down as

0:12:04.679 --> 0:12:07.120
<v Speaker 2>of this week from his role. He's given that role

0:12:07.200 --> 0:12:10.320
<v Speaker 2>to his top deputy. He's going to remain for the

0:12:10.320 --> 0:12:13.600
<v Speaker 2>next several months at Apple as an advisor, right, so

0:12:13.679 --> 0:12:15.959
<v Speaker 2>no longer running the team, but an advisor to Apple's

0:12:16.040 --> 0:12:20.800
<v Speaker 2>executive in charge of Beats, AirPods, now the home Pod

0:12:21.040 --> 0:12:24.679
<v Speaker 2>and other audio products, so more executive changes. This comes

0:12:24.720 --> 0:12:28.079
<v Speaker 2>after Dj Navotni, who was a key vice president of

0:12:28.120 --> 0:12:30.800
<v Speaker 2>hardware engineering there, left to be a senior vice president

0:12:30.840 --> 0:12:34.640
<v Speaker 2>of program management at Rivian earlier this year. Tang Tan,

0:12:34.840 --> 0:12:37.920
<v Speaker 2>the vice president of design for the iPhone, the Apple Watch,

0:12:38.160 --> 0:12:41.600
<v Speaker 2>and AirPods. He's going to join former Apple design chief

0:12:41.640 --> 0:12:44.679
<v Speaker 2>Johnny I've in his company love from working on new

0:12:44.720 --> 0:12:48.600
<v Speaker 2>AI products with Sam Altman, and you've seen a large

0:12:48.679 --> 0:12:51.200
<v Speaker 2>chunk of Apple's industrial design team leave as well. So

0:12:51.960 --> 0:12:56.040
<v Speaker 2>this is not a departure yet, but key executive stepping

0:12:56.040 --> 0:12:56.720
<v Speaker 2>down from their role.

0:12:57.120 --> 0:12:59.560
<v Speaker 5>Changing of the God Matt Gammon always ahead of it

0:12:59.760 --> 0:13:02.880
<v Speaker 5>with thank you so much for the insights. Now let's

0:13:02.920 --> 0:13:04.800
<v Speaker 5>turn our attention to talking tech and we're going to

0:13:04.840 --> 0:13:07.719
<v Speaker 5>stick with the theme of executive reshuffling. SpaceX seeing a

0:13:07.800 --> 0:13:10.280
<v Speaker 5>rare high level departure in its corporate ranks. According to

0:13:10.320 --> 0:13:13.120
<v Speaker 5>reporting from CNBC, the company senior vice president of its

0:13:13.120 --> 0:13:15.960
<v Speaker 5>commercial business is leaving after spending more than a decade

0:13:16.000 --> 0:13:18.800
<v Speaker 5>working there and was personally responsible for bringing in over

0:13:19.040 --> 0:13:23.400
<v Speaker 5>a billion dollars of annual revenue. Meanwhile, Samsung has sold

0:13:23.440 --> 0:13:27.200
<v Speaker 5>its entire remaining stake in ASML. That's as it pushes

0:13:27.200 --> 0:13:29.160
<v Speaker 5>into new areas of chip making. Now the world's largest

0:13:29.160 --> 0:13:31.959
<v Speaker 5>memory maker sold its remaining shares in the Dutch company

0:13:32.160 --> 0:13:33.800
<v Speaker 5>as it really tries to work to catch up with

0:13:33.920 --> 0:13:37.200
<v Speaker 5>rival s k Heinex in high bend bandwidth memory chips,

0:13:37.320 --> 0:13:40.480
<v Speaker 5>which are used to help in videos, accelerators, train artificial

0:13:40.520 --> 0:13:44.360
<v Speaker 5>intelligence plus sam mam and Freed is heading back to

0:13:44.400 --> 0:13:46.920
<v Speaker 5>court today for the first time since his November conviction.

0:13:47.200 --> 0:13:50.079
<v Speaker 5>That's over a multi billion dollar fraud in cryptocurrency customers.

0:13:50.120 --> 0:13:51.319
<v Speaker 1>Of course, Patwan.

0:13:51.040 --> 0:13:53.480
<v Speaker 5>Freed is slated to answer questions from a federal judge

0:13:53.520 --> 0:13:55.440
<v Speaker 5>as to whether he is aware of potential conflicts of

0:13:55.480 --> 0:13:58.520
<v Speaker 5>interest for the lawyers he hired last month to represent

0:13:58.600 --> 0:14:01.760
<v Speaker 5>him at sentencing in March. His new attorneys also represent

0:14:01.840 --> 0:14:06.760
<v Speaker 5>another cryptomogul facing criminal charges coming up. Vice president and

0:14:06.800 --> 0:14:09.800
<v Speaker 5>general manager of Google Workspace going to be joining us

0:14:10.160 --> 0:14:13.000
<v Speaker 5>a partner, Pabu joining us to talk about how duet

0:14:13.040 --> 0:14:17.160
<v Speaker 5>ai is turning into Google Workspace and it became Gemini.

0:14:17.240 --> 0:14:18.800
<v Speaker 1>That's next watching shows of Amazon.

0:14:18.800 --> 0:14:20.880
<v Speaker 5>Meanwhile, let's have a quick look at what's happening in

0:14:20.960 --> 0:14:23.960
<v Speaker 5>terms of well up eight nine tenths of the percent why.

0:14:23.840 --> 0:14:27.120
<v Speaker 1>Centering the Dow Jones Industrial average. What falls out Walgreens?

0:14:27.480 --> 0:14:38.200
<v Speaker 8>This is Blueberg Technology.

0:14:43.920 --> 0:14:45.920
<v Speaker 5>Just to talk about Google for a moment, because it's

0:14:46.000 --> 0:14:48.960
<v Speaker 5>got a lot of announcements. First up, it's introducing new

0:14:49.040 --> 0:14:52.240
<v Speaker 5>open large language models that's calling GEMMA. This is reversing

0:14:52.240 --> 0:14:54.560
<v Speaker 5>the company's kind of general strategy and keeping the company's

0:14:54.560 --> 0:14:57.880
<v Speaker 5>proprietary artificial intelligence technology out of public view. But the

0:14:57.920 --> 0:15:00.840
<v Speaker 5>models will handle text only have been built from the

0:15:00.920 --> 0:15:03.520
<v Speaker 5>same research and technology used to create the company's flagship

0:15:03.560 --> 0:15:07.120
<v Speaker 5>AI model, Gemini and Gemma will be released in two sizes,

0:15:07.360 --> 0:15:09.960
<v Speaker 5>one targeted at customers who plan to develop AI software

0:15:10.040 --> 0:15:12.800
<v Speaker 5>using high capacity AI chips and data centers, and then

0:15:12.800 --> 0:15:15.600
<v Speaker 5>a smaller model for more cost efficient app building. And

0:15:15.640 --> 0:15:18.760
<v Speaker 5>many would say, actually given them transformers being given to

0:15:18.800 --> 0:15:22.320
<v Speaker 5>the community in many ways Google has been open sourcing. Meanwhile,

0:15:22.400 --> 0:15:24.400
<v Speaker 5>let's stick with Google in another way in which you're

0:15:24.480 --> 0:15:27.360
<v Speaker 5>using it, perhaps at the enterprise. Some more news coming

0:15:27.400 --> 0:15:30.720
<v Speaker 5>out that's starting today Duet AI for Google Workspace. It's

0:15:30.720 --> 0:15:32.040
<v Speaker 5>going to have a brand new name, and you guess

0:15:32.120 --> 0:15:34.960
<v Speaker 5>that it's Gemini Workspace customers will be able to chat

0:15:35.000 --> 0:15:37.160
<v Speaker 5>with Gemini in a new way, and the chat experience

0:15:37.200 --> 0:15:40.320
<v Speaker 5>will have enterprise grade data protections as well as copyright

0:15:40.360 --> 0:15:43.880
<v Speaker 5>in demnification. Here to join a Vice president and General

0:15:43.920 --> 0:15:46.520
<v Speaker 5>Manager of Google Workspace a pantner PAPU. It is great

0:15:46.520 --> 0:15:49.680
<v Speaker 5>to have you with us a partner, and number of

0:15:49.760 --> 0:15:52.440
<v Speaker 5>ways it feels to be using Gemini Now when I'm

0:15:52.480 --> 0:15:54.760
<v Speaker 5>sat at my work desk, how do you envisage people

0:15:54.800 --> 0:15:58.000
<v Speaker 5>working with it to improve their productivity?

0:15:58.160 --> 0:16:00.960
<v Speaker 3>Well, first of all, we're super excited have Workspace center

0:16:01.080 --> 0:16:03.800
<v Speaker 3>the Gemini era. As you said, workspace comprisers of apps

0:16:03.800 --> 0:16:05.800
<v Speaker 3>that people use every day in their life, from Gmail,

0:16:05.960 --> 0:16:08.600
<v Speaker 3>Dark Drive, sheets, Meet, you name it, and so to

0:16:08.640 --> 0:16:11.800
<v Speaker 3>have Gemini infuse there to make all of your work

0:16:11.920 --> 0:16:15.080
<v Speaker 3>journeys more productive is fantastic. So we're already seeing people

0:16:15.120 --> 0:16:17.360
<v Speaker 3>do lots of interesting things like helping them write better,

0:16:17.600 --> 0:16:20.640
<v Speaker 3>making them sound more professional, perhaps making them sound more playful.

0:16:20.760 --> 0:16:24.920
<v Speaker 3>And so today's announcement is really exciting because Gemini in

0:16:25.040 --> 0:16:28.080
<v Speaker 3>Workspace just up levels all of the things that AI

0:16:28.200 --> 0:16:29.800
<v Speaker 3>can help you do in your work.

0:16:29.600 --> 0:16:31.960
<v Speaker 5>Life, and not many people might not realize as over

0:16:32.000 --> 0:16:35.480
<v Speaker 5>three billion people do use Google Workspace, and I'm therefore

0:16:35.520 --> 0:16:37.600
<v Speaker 5>you can garner so much data as to how it's

0:16:37.640 --> 0:16:41.080
<v Speaker 5>being effectively deployed, who, what types of people wear geographically,

0:16:41.120 --> 0:16:44.080
<v Speaker 5>but what are the guardrails that a lot of your

0:16:44.080 --> 0:16:45.840
<v Speaker 5>clients are going to be asking you for, because that

0:16:45.880 --> 0:16:48.200
<v Speaker 5>has been almost the nervousness, the reticent about the new

0:16:48.200 --> 0:16:49.240
<v Speaker 5>world of generative AI.

0:16:49.600 --> 0:16:51.800
<v Speaker 3>So one of the things that we hold very dear

0:16:52.160 --> 0:16:56.040
<v Speaker 3>is our promise to users about privacy, security and compliance.

0:16:56.120 --> 0:16:59.760
<v Speaker 3>And with Workspace, we offer enterprise grade security for all

0:16:59.760 --> 0:17:02.880
<v Speaker 3>of our Gemini features, which means you're in control of

0:17:02.920 --> 0:17:06.240
<v Speaker 3>your data. Your data never leaks into the models you get,

0:17:06.320 --> 0:17:09.560
<v Speaker 3>your data's never used for advertising, and so that level

0:17:09.640 --> 0:17:12.520
<v Speaker 3>of security and compliance being made available now to all

0:17:12.520 --> 0:17:15.280
<v Speaker 3>of our Gemini users is something that we're very proud of.

0:17:15.760 --> 0:17:18.639
<v Speaker 5>What's interesting is, of course, when I think about Workspace,

0:17:18.680 --> 0:17:21.600
<v Speaker 5>I think of enormous corporations in which I currently sit.

0:17:21.680 --> 0:17:26.000
<v Speaker 5>But small and medium size enterprises have got to have

0:17:26.040 --> 0:17:28.399
<v Speaker 5>been wanting to use generative AI in their heart too, right.

0:17:28.680 --> 0:17:31.679
<v Speaker 3>Absolutely, we just did a survey wag eighty seven percent

0:17:31.720 --> 0:17:34.520
<v Speaker 3>of small businesses and all medium sized businesses are all

0:17:34.560 --> 0:17:37.199
<v Speaker 3>ready to use generait of AI and so given our

0:17:37.280 --> 0:17:40.479
<v Speaker 3>user customer base of over ten million customers, we're excited

0:17:40.480 --> 0:17:43.199
<v Speaker 3>to bring Gemini today with a brand new launch at

0:17:43.200 --> 0:17:45.920
<v Speaker 3>a lower price point to businesses of all sizes all

0:17:45.960 --> 0:17:48.800
<v Speaker 3>over the world. And so with that launch, we now

0:17:48.880 --> 0:17:51.359
<v Speaker 3>enable small businesses to get more done every single day.

0:17:51.400 --> 0:17:51.720
<v Speaker 3>As well.

0:17:52.080 --> 0:17:54.280
<v Speaker 1>Taught to us about ultimately the pricing of this.

0:17:54.400 --> 0:17:57.080
<v Speaker 5>How does one come up with what real value is

0:17:57.200 --> 0:18:00.800
<v Speaker 5>worth in this and not be sort of blown around

0:18:00.880 --> 0:18:03.800
<v Speaker 5>by ultimately well other competitors of pricing that points at.

0:18:04.160 --> 0:18:07.439
<v Speaker 3>So we feel very strong about our pricing strategy. It's robust,

0:18:07.480 --> 0:18:09.520
<v Speaker 3>It's based on a number of factors, not just what

0:18:09.560 --> 0:18:11.760
<v Speaker 3>the market can bear, but also the perceived value of

0:18:11.760 --> 0:18:14.239
<v Speaker 3>our customers, because ultimately it comes down to customers and

0:18:14.240 --> 0:18:16.080
<v Speaker 3>what they're willing to pay for. And this is where

0:18:16.080 --> 0:18:18.400
<v Speaker 3>we started with a thirty dollars version for our enterprise

0:18:18.480 --> 0:18:21.760
<v Speaker 3>customers and a twenty dollar version for smaller businesses or

0:18:21.880 --> 0:18:23.960
<v Speaker 3>enterprises who want to get started. But I'm not quite

0:18:23.960 --> 0:18:26.760
<v Speaker 3>sure where to begin, and I said.

0:18:26.560 --> 0:18:29.679
<v Speaker 5>At the beginning, So with the breadth of three billion users,

0:18:30.520 --> 0:18:33.240
<v Speaker 5>how are you seeing it being used differently in different places?

0:18:33.359 --> 0:18:36.320
<v Speaker 3>Oh, it's so wonderful. It's so creative and clever. People

0:18:36.320 --> 0:18:38.480
<v Speaker 3>tell us stories all the time of things that they're

0:18:38.480 --> 0:18:40.560
<v Speaker 3>doing with it. We have small business people who are

0:18:40.560 --> 0:18:42.680
<v Speaker 3>actually just wanting to focus on their businesses. So, for example,

0:18:42.720 --> 0:18:45.000
<v Speaker 3>a music teacher really just wants to teach music, but

0:18:45.160 --> 0:18:48.120
<v Speaker 3>often has to respond to inbound inquiries all the time,

0:18:48.160 --> 0:18:51.679
<v Speaker 3>and so getting help replying to emails while sounding you know,

0:18:52.240 --> 0:18:54.600
<v Speaker 3>factual and professional is actually really fantastic.

0:18:54.800 --> 0:18:56.160
<v Speaker 1>We love the stories where people for.

0:18:56.119 --> 0:18:58.760
<v Speaker 3>Whom English is the second language, have been you know,

0:18:58.840 --> 0:19:00.960
<v Speaker 3>their work has been transformed by how it makes them

0:19:01.000 --> 0:19:04.320
<v Speaker 3>sound at work and gives them more confidence. Creativity unlocked

0:19:04.320 --> 0:19:06.400
<v Speaker 3>with things like im generation with slides. If you're trying

0:19:06.400 --> 0:19:08.520
<v Speaker 3>to brainstorm how you might think about a new product,

0:19:08.520 --> 0:19:11.040
<v Speaker 3>and so on, just coming up with visual aids of

0:19:11.200 --> 0:19:14.160
<v Speaker 3>like visualize what this idea might look like really helps

0:19:14.240 --> 0:19:18.360
<v Speaker 3>unlock some of the brainstorming. Banks using it for executive management,

0:19:18.359 --> 0:19:20.480
<v Speaker 3>event planners using it to get events done.

0:19:20.520 --> 0:19:21.520
<v Speaker 1>I mean, I could go on and on.

0:19:21.600 --> 0:19:24.280
<v Speaker 3>It's actually just truly tremendous what our customers are doing

0:19:24.280 --> 0:19:24.920
<v Speaker 3>with it already.

0:19:25.080 --> 0:19:28.720
<v Speaker 5>And look, you're a long time Google executive decades under

0:19:28.760 --> 0:19:31.760
<v Speaker 5>the belt and tell us a little bit about how

0:19:31.800 --> 0:19:33.840
<v Speaker 5>it's felt when, as we said at the beginning of

0:19:33.840 --> 0:19:38.000
<v Speaker 5>this conversation, you with of course deep Mind, have been

0:19:38.480 --> 0:19:42.560
<v Speaker 5>really R and D focused all things artificial intelligence, injecting

0:19:42.600 --> 0:19:46.639
<v Speaker 5>things like Transformer R and D into the broader ecosystem.

0:19:46.680 --> 0:19:48.480
<v Speaker 5>But then came this idea that you were behind the

0:19:48.520 --> 0:19:50.720
<v Speaker 5>curve that you were following on from Microsoft and open

0:19:50.760 --> 0:19:51.679
<v Speaker 5>Ai teaming together.

0:19:52.440 --> 0:19:54.200
<v Speaker 1>Have you been able to diffuse that? Have you been

0:19:54.240 --> 0:19:55.800
<v Speaker 1>able to think that that's not true?

0:19:56.000 --> 0:19:59.600
<v Speaker 3>I think ultimately customers decide in when customers use our products,

0:19:59.640 --> 0:20:02.080
<v Speaker 3>and the tell us that they're more helpful, more intuitive,

0:20:02.200 --> 0:20:03.160
<v Speaker 3>easy to use, and.

0:20:03.160 --> 0:20:04.359
<v Speaker 1>Actually deliver the value.

0:20:04.400 --> 0:20:06.320
<v Speaker 3>And it's not just about the hype. I think that's

0:20:06.359 --> 0:20:08.400
<v Speaker 3>where we need to focus is what are the real

0:20:08.480 --> 0:20:10.679
<v Speaker 3>users saying as opposed to all of the hype around this.

0:20:10.760 --> 0:20:13.439
<v Speaker 3>And so we love our partnership with deep Mind because

0:20:13.800 --> 0:20:16.960
<v Speaker 3>ultimately Google's focus on the user and making sure that

0:20:16.960 --> 0:20:19.879
<v Speaker 3>we're actually helpful to the user is what differentiates us

0:20:19.880 --> 0:20:20.720
<v Speaker 3>from everybody else.

0:20:20.920 --> 0:20:23.360
<v Speaker 5>Okay, so there is a lot of feeling that there's hype.

0:20:23.840 --> 0:20:27.600
<v Speaker 5>How are you in reality as just someone that uses

0:20:27.640 --> 0:20:29.480
<v Speaker 5>Gmail and docs and not just someone who's in charge

0:20:29.480 --> 0:20:33.200
<v Speaker 5>of workspace, is using generative AI on a daily basis.

0:20:32.960 --> 0:20:34.720
<v Speaker 3>So many people, so many ways. So first of all,

0:20:34.920 --> 0:20:36.919
<v Speaker 3>both at my work life and my personal life, I

0:20:36.960 --> 0:20:40.320
<v Speaker 3>often feel overwhelmed with email. Actually in my personal life

0:20:40.320 --> 0:20:43.639
<v Speaker 3>more so these days because schools and businesses and package

0:20:43.680 --> 0:20:45.800
<v Speaker 3>tracking and all of these things. So having Gmail be

0:20:45.840 --> 0:20:48.840
<v Speaker 3>a really helpful assistant to me by showing me the

0:20:48.840 --> 0:20:51.639
<v Speaker 3>summaries of the endless long emails I get has saved

0:20:51.680 --> 0:20:53.880
<v Speaker 3>me a lot of time at work at home, which

0:20:53.880 --> 0:20:56.679
<v Speaker 3>has been helpful. Same thing applies at work as well.

0:20:56.800 --> 0:20:59.320
<v Speaker 3>And you know, for example, I was prepping for an interview,

0:20:59.359 --> 0:21:02.000
<v Speaker 3>how does one your broadcast interview got some really great

0:21:02.000 --> 0:21:05.400
<v Speaker 3>clips from Gemini. Actually is like be confident but yourself.

0:21:05.600 --> 0:21:07.560
<v Speaker 3>There's just all sorts of ways in which it just

0:21:07.640 --> 0:21:09.760
<v Speaker 3>makes you a little bit more confident about what you're doing.

0:21:09.840 --> 0:21:12.159
<v Speaker 3>Freeing up your time to do other things helps you

0:21:12.280 --> 0:21:14.160
<v Speaker 3>be yourself in the best possible way.

0:21:14.400 --> 0:21:14.639
<v Speaker 9>You can.

0:21:14.680 --> 0:21:16.640
<v Speaker 5>Go back and say it to Gemini, you're a pretty

0:21:16.680 --> 0:21:18.879
<v Speaker 5>darn good Thanks very much, your vice president and general

0:21:18.880 --> 0:21:21.760
<v Speaker 5>manager at Google Workspace A Panna papu there on all

0:21:21.800 --> 0:21:24.360
<v Speaker 5>things of its injection into Gemini into the workplace.

0:21:31.760 --> 0:21:33.760
<v Speaker 1>Welcome back to Blue Meg Technology. I'm Karen Hide in

0:21:33.760 --> 0:21:35.320
<v Speaker 1>New York. Let's check in on these markets.

0:21:35.080 --> 0:21:36.760
<v Speaker 5>Because a little bit of a pull back, a little

0:21:36.760 --> 0:21:39.359
<v Speaker 5>bit of caution ahead of course the all important earnings

0:21:39.400 --> 0:21:41.000
<v Speaker 5>after the bell today, have a check in on what's

0:21:41.000 --> 0:21:43.080
<v Speaker 5>happening with the nast that one hundred. More broadly, software

0:21:43.200 --> 0:21:45.480
<v Speaker 5>one of the worst performing benchmarks if you compare it

0:21:45.480 --> 0:21:47.200
<v Speaker 5>to the S and p 'or of by six tenser percent.

0:21:47.240 --> 0:21:50.320
<v Speaker 5>I'm looking what's happening in bond markets right now, calmness.

0:21:50.520 --> 0:21:52.800
<v Speaker 5>Ultimately we're seeing four point twenty nine. Let's call it

0:21:52.840 --> 0:21:54.800
<v Speaker 5>on the tenure at the moment as we all anticipate

0:21:54.840 --> 0:21:57.200
<v Speaker 5>its course. From the macro perspective, the Fed minutes that

0:21:57.280 --> 0:21:59.320
<v Speaker 5>come a little bit later today, looking at Bitcoin just

0:21:59.400 --> 0:22:01.600
<v Speaker 5>off by one point percenters, risk assets sell off. More broadly,

0:22:01.680 --> 0:22:03.679
<v Speaker 5>let's have a look at what's happening on individual names

0:22:03.960 --> 0:22:05.080
<v Speaker 5>and particular stocks.

0:22:04.880 --> 0:22:05.720
<v Speaker 1>That are on the downside.

0:22:05.760 --> 0:22:07.560
<v Speaker 5>And I'm just going to shine a light on the

0:22:07.680 --> 0:22:10.280
<v Speaker 5>story of today as well as we anticipate in video

0:22:10.400 --> 0:22:12.080
<v Speaker 5>has got to sae what's happening with all of these

0:22:12.119 --> 0:22:15.600
<v Speaker 5>cyber stocks. The numbers after the bell are Palo Alto Networks. Yes,

0:22:15.640 --> 0:22:17.800
<v Speaker 5>they managed to meet that nineteen percent growth in revenue

0:22:17.840 --> 0:22:20.280
<v Speaker 5>for their previous fiscal quarter. But the forecast is going

0:22:20.320 --> 0:22:22.280
<v Speaker 5>to be sixteen percent growth. I'm afraid that's nowhere near

0:22:22.280 --> 0:22:24.080
<v Speaker 5>the twenty five percent we've all got rather used to

0:22:24.320 --> 0:22:27.720
<v Speaker 5>Palo Alto fooling the most in its history on record,

0:22:27.760 --> 0:22:30.000
<v Speaker 5>we're currently off by twenty six percent. We're also seeing

0:22:30.000 --> 0:22:33.359
<v Speaker 5>CrowdStrike down and z scala or lower in sympathy today.

0:22:33.600 --> 0:22:35.520
<v Speaker 5>But let's get back to the earnings that we still anticipate.

0:22:35.640 --> 0:22:37.760
<v Speaker 5>Let's get back to Nvidia results coming after the bell.

0:22:37.840 --> 0:22:39.840
<v Speaker 5>And of course here's what some of our guests have

0:22:39.880 --> 0:22:41.160
<v Speaker 5>had to say and what they expect.

0:22:41.280 --> 0:22:46.680
<v Speaker 4>Thank listen, there's seven hundred and seventy one companies announcing

0:22:46.720 --> 0:22:49.000
<v Speaker 4>this week, but there's really only one that matters, isn't

0:22:49.040 --> 0:22:50.840
<v Speaker 4>that and that is in video.

0:22:50.920 --> 0:22:53.800
<v Speaker 3>Of course, the structural side is very exciting, obviously, with

0:22:53.920 --> 0:22:56.160
<v Speaker 3>AI in the key, Driver's Saint.

0:22:56.119 --> 0:22:58.919
<v Speaker 7>In Video's earnings are going to be the story that

0:22:58.960 --> 0:23:01.639
<v Speaker 7>we all anticipate and wait with baited breath.

0:23:01.720 --> 0:23:05.960
<v Speaker 4>Expectations are high, Caroline. I think probably they'll deliver.

0:23:06.160 --> 0:23:08.560
<v Speaker 2>You look at Navida, there's no shortage of the demand.

0:23:08.640 --> 0:23:10.560
<v Speaker 4>I think it's going to be more about what Jensen

0:23:10.600 --> 0:23:14.560
<v Speaker 4>says about the outlook, the growth and the product lineup

0:23:14.720 --> 0:23:16.760
<v Speaker 4>as opposed to what he actually delivers in the earning.

0:23:18.600 --> 0:23:21.600
<v Speaker 5>There is so much hype about what this integral part

0:23:21.840 --> 0:23:25.880
<v Speaker 5>of AI infrastructure can deliver. How are we deploying generative AI?

0:23:26.000 --> 0:23:27.360
<v Speaker 5>How are we using it in our day to day

0:23:27.600 --> 0:23:29.520
<v Speaker 5>deon Nicholas and pleas to say, is at the forefront

0:23:29.560 --> 0:23:31.520
<v Speaker 5>of that is the CEO of fore Thought. It's a

0:23:31.520 --> 0:23:34.160
<v Speaker 5>company that uses generative AI for customer support. You're also

0:23:34.200 --> 0:23:36.840
<v Speaker 5>into the world of agents, which is another key hype

0:23:36.880 --> 0:23:37.960
<v Speaker 5>area at the moment, Dion.

0:23:38.200 --> 0:23:40.440
<v Speaker 1>When we are seeing the whole market.

0:23:40.080 --> 0:23:43.320
<v Speaker 5>Declaring that in Vidia is the most important company on

0:23:43.400 --> 0:23:46.120
<v Speaker 5>the planet or stock at least, how do you think

0:23:46.119 --> 0:23:47.399
<v Speaker 5>about this AI hype cycle?

0:23:48.000 --> 0:23:50.399
<v Speaker 10>No, I agree, Caroline, and thanks for having me back

0:23:50.440 --> 0:23:52.879
<v Speaker 10>on the show. When you think about it, like in

0:23:52.920 --> 0:23:55.040
<v Speaker 10>a gold rush, it's really the picks and shovels that

0:23:55.119 --> 0:23:57.439
<v Speaker 10>make the most money. And I think Nvidia really is

0:23:57.720 --> 0:24:00.280
<v Speaker 10>the picks and shovels business for AI. But at the

0:24:00.320 --> 0:24:01.960
<v Speaker 10>end of the day, we're still in the early innings

0:24:02.000 --> 0:24:05.040
<v Speaker 10>on the application layer, which I'm most excited about. Right

0:24:05.119 --> 0:24:07.440
<v Speaker 10>I actually think about all of the money that's being

0:24:07.440 --> 0:24:09.560
<v Speaker 10>spent on things like outsourcing and things like that in

0:24:09.600 --> 0:24:12.520
<v Speaker 10>the customer support world. And I think AI jen AI

0:24:12.600 --> 0:24:15.199
<v Speaker 10>and particularly AI agents are going to be the future

0:24:15.280 --> 0:24:16.679
<v Speaker 10>of this industry. I think it's going to be one

0:24:16.680 --> 0:24:18.960
<v Speaker 10>of the most massive software categories on the planet.

0:24:19.160 --> 0:24:21.480
<v Speaker 1>To get there, you need access to compute.

0:24:21.560 --> 0:24:23.439
<v Speaker 5>How have you managed to think around that ensure that

0:24:23.520 --> 0:24:25.840
<v Speaker 5>it's not eating so much of your cost that you

0:24:26.160 --> 0:24:27.560
<v Speaker 5>also have to just keep going to the market and

0:24:27.640 --> 0:24:29.359
<v Speaker 5>raising more and more in the VC world.

0:24:29.400 --> 0:24:32.199
<v Speaker 10>Agreed, especially over the last year and a half, call it,

0:24:32.320 --> 0:24:35.119
<v Speaker 10>everything has been about efficiency, right, and so not just

0:24:35.200 --> 0:24:36.840
<v Speaker 10>in terms of people and spend like that, but in

0:24:36.960 --> 0:24:39.280
<v Speaker 10>terms of compute power. And so you think about the

0:24:39.280 --> 0:24:41.919
<v Speaker 10>algorithms that we use every single day, getting smarter and

0:24:41.960 --> 0:24:44.199
<v Speaker 10>smarter not just on the application layer, but using those

0:24:44.240 --> 0:24:47.000
<v Speaker 10>algorithms to be smarter with our compute is how we

0:24:47.080 --> 0:24:47.320
<v Speaker 10>do that?

0:24:47.680 --> 0:24:47.920
<v Speaker 1>Okay?

0:24:48.200 --> 0:24:50.240
<v Speaker 5>Who have you turned to in terms of the ecosystem

0:24:50.280 --> 0:24:52.560
<v Speaker 5>to help you with that? Who have been your hyperscalers

0:24:52.560 --> 0:24:54.560
<v Speaker 5>of choice, who have been your access to GPUs?

0:24:54.920 --> 0:24:58.640
<v Speaker 10>Yeah, so we do a lot with open ai, for example.

0:24:58.840 --> 0:25:01.399
<v Speaker 10>You do a lot with the cloud players. So folks

0:25:01.440 --> 0:25:05.399
<v Speaker 10>like Microsoft, Azure, folks like Amazon AWS and things like that.

0:25:05.480 --> 0:25:07.840
<v Speaker 10>We actually announced a partnership with AWS a few months ago.

0:25:08.080 --> 0:25:10.280
<v Speaker 10>So what we're trying to do is be I would say,

0:25:10.320 --> 0:25:13.199
<v Speaker 10>agnostic to what's going on in the underlying layer and

0:25:13.240 --> 0:25:15.479
<v Speaker 10>make sure that we can have failovers, fallbacks and all

0:25:15.520 --> 0:25:17.280
<v Speaker 10>of that so that we can deliver a robust system

0:25:17.280 --> 0:25:17.920
<v Speaker 10>for our customers.

0:25:17.920 --> 0:25:19.679
<v Speaker 5>And let's talk about what you're delivering at the moment,

0:25:19.760 --> 0:25:23.280
<v Speaker 5>you're with instacll utwork, plenty of other companies turning to

0:25:23.320 --> 0:25:26.719
<v Speaker 5>you to basically make my experience when using those apps

0:25:27.119 --> 0:25:29.680
<v Speaker 5>more joyous. Right, Where are we in the innings of

0:25:30.160 --> 0:25:33.119
<v Speaker 5>development of having general to AI making my experience better?

0:25:33.600 --> 0:25:34.240
<v Speaker 1>Absolutely so.

0:25:34.280 --> 0:25:36.840
<v Speaker 10>At forethought, we've been delivering AI for the past six years,

0:25:36.920 --> 0:25:40.080
<v Speaker 10>and so it's exciting to see this boom so to speak,

0:25:40.119 --> 0:25:42.720
<v Speaker 10>in the genai world. But at the end of the day,

0:25:42.880 --> 0:25:45.359
<v Speaker 10>I think we're still very very early and there's so

0:25:45.480 --> 0:25:47.760
<v Speaker 10>much more to be done in this space. At forethought,

0:25:47.760 --> 0:25:50.919
<v Speaker 10>we're delivering AI agents for customer support. We're already solving

0:25:50.920 --> 0:25:54.000
<v Speaker 10>more than one hundred million issues a year, every single year,

0:25:54.359 --> 0:25:56.600
<v Speaker 10>and we think the technology is only going to get better.

0:25:56.720 --> 0:25:59.119
<v Speaker 10>Lllms are just the beginning and then we saw retrieval

0:25:59.160 --> 0:26:02.040
<v Speaker 10>augmented LLLM or RAGS, and then we saw AI Agents,

0:26:02.080 --> 0:26:04.920
<v Speaker 10>which we actually announced here on Bloomberg about a year

0:26:04.960 --> 0:26:07.399
<v Speaker 10>ago with our auto flows technology. And I think it's

0:26:07.400 --> 0:26:08.600
<v Speaker 10>going to keep getting better and better.

0:26:09.160 --> 0:26:11.840
<v Speaker 5>AI Agents, as I said, has been sort of all

0:26:11.840 --> 0:26:14.199
<v Speaker 5>the talk of the town. And what's so interesting about

0:26:14.359 --> 0:26:16.280
<v Speaker 5>the generative AI space is you all seem to be

0:26:16.359 --> 0:26:18.600
<v Speaker 5>frenemies in some way. You're just talking about how you're

0:26:19.080 --> 0:26:21.360
<v Speaker 5>leaning upon open Ai in some way, but open Ai

0:26:21.480 --> 0:26:24.600
<v Speaker 5>has GPTs itself. You then got Brett Taylor, who's the

0:26:24.680 --> 0:26:27.080
<v Speaker 5>chairman of open Ai, coming in and he's launching of

0:26:27.080 --> 0:26:30.960
<v Speaker 5>course Sierra, which is also all about agents and customers.

0:26:31.280 --> 0:26:33.439
<v Speaker 1>Where do you see the landscape being? How many players

0:26:33.440 --> 0:26:33.840
<v Speaker 1>will there be?

0:26:34.760 --> 0:26:36.359
<v Speaker 10>Again, as I said, I think this is going to

0:26:36.400 --> 0:26:39.040
<v Speaker 10>be one of the largest software categories on Planet Earth,

0:26:39.080 --> 0:26:41.040
<v Speaker 10>mark my words. And so there's going to be room

0:26:41.080 --> 0:26:43.919
<v Speaker 10>for multiple players. And ultimately, I think what's happening is

0:26:44.000 --> 0:26:46.359
<v Speaker 10>there's a shift from the old guard to the new guard.

0:26:46.600 --> 0:26:49.919
<v Speaker 10>You've seen incumbents companies like Zendesk and Salesforce and folks

0:26:49.960 --> 0:26:53.800
<v Speaker 10>like that scrambling to bring AI into their strategy. Because

0:26:53.880 --> 0:26:55.800
<v Speaker 10>being the help desk or being a CRM is not

0:26:55.920 --> 0:26:58.720
<v Speaker 10>necessarily going to cut it in an AI first future, right,

0:26:58.760 --> 0:27:01.920
<v Speaker 10>And so what we're seeing and being validated by folks

0:27:02.000 --> 0:27:04.679
<v Speaker 10>like Brett Taylor entering the space is that Jenai and

0:27:04.720 --> 0:27:07.000
<v Speaker 10>being AI first in this space is going to be

0:27:07.080 --> 0:27:07.880
<v Speaker 10>the way of the future.

0:27:08.000 --> 0:27:10.639
<v Speaker 5>How hard is it, though, when I can understand that

0:27:10.720 --> 0:27:13.600
<v Speaker 5>it work in instacrat A already, a startup is probably

0:27:13.600 --> 0:27:16.080
<v Speaker 5>more willing to go with a startup for its own

0:27:16.119 --> 0:27:17.440
<v Speaker 5>customer delivery.

0:27:17.680 --> 0:27:19.440
<v Speaker 1>But when you've got big, older.

0:27:19.119 --> 0:27:23.240
<v Speaker 5>Institutions, they've just got salesforce within them already. How hard

0:27:23.320 --> 0:27:25.119
<v Speaker 5>is it to say no, no, no, come to this

0:27:25.200 --> 0:27:28.800
<v Speaker 5>different offering untwine yourself from the incumbent.

0:27:29.200 --> 0:27:30.320
<v Speaker 8>I think that's a fair question.

0:27:30.400 --> 0:27:32.520
<v Speaker 10>So what we're seeing is a lot of activity in

0:27:32.560 --> 0:27:35.560
<v Speaker 10>the mid market SMB companies who are embracing the future

0:27:35.560 --> 0:27:39.240
<v Speaker 10>and things like that. A lot of these larger incumbent companies,

0:27:39.400 --> 0:27:41.399
<v Speaker 10>there's a lot of interest, there's a lot of hype,

0:27:41.640 --> 0:27:44.040
<v Speaker 10>but are they actually making the changes that's soon to

0:27:44.080 --> 0:27:46.040
<v Speaker 10>be seen? And that's actually another thing is we talk

0:27:46.080 --> 0:27:49.320
<v Speaker 10>about things like Nvidia, A lot of the use cases

0:27:49.320 --> 0:27:52.280
<v Speaker 10>seem to be experimental today, right, and so I'm curious

0:27:52.280 --> 0:27:53.840
<v Speaker 10>what's going to happen, what Jensen's going to say in

0:27:53.920 --> 0:27:56.040
<v Speaker 10>terms of the outlook for the future as we start

0:27:56.040 --> 0:27:58.320
<v Speaker 10>to see more of these technologies become put into production,

0:27:58.520 --> 0:28:00.680
<v Speaker 10>who's going to keep and truly be an AI first

0:28:00.720 --> 0:28:03.000
<v Speaker 10>company and who's just experimenting.

0:28:03.520 --> 0:28:06.840
<v Speaker 5>And then I'm sure Jensen might pay some lip service

0:28:06.880 --> 0:28:09.080
<v Speaker 5>to the fact that it's hard to get talent as

0:28:09.119 --> 0:28:10.719
<v Speaker 5>well and to scale at the spies that you want

0:28:10.800 --> 0:28:12.800
<v Speaker 5>to what are some of the things that hold back

0:28:12.840 --> 0:28:14.679
<v Speaker 5>forthought or what are some of the things that are

0:28:14.720 --> 0:28:15.280
<v Speaker 5>helping you grow.

0:28:15.680 --> 0:28:17.920
<v Speaker 10>Absolutely, I think talent is first and foremost the most

0:28:17.920 --> 0:28:21.480
<v Speaker 10>important thing. We were founded on this generative aivision, leveraging

0:28:21.720 --> 0:28:23.960
<v Speaker 10>both our own research as well as research from folks

0:28:23.960 --> 0:28:27.359
<v Speaker 10>like Chris Manning at Stanford, the godfather of NLP. And

0:28:27.480 --> 0:28:29.760
<v Speaker 10>in terms of holding us back, I mean, the sky's

0:28:29.760 --> 0:28:31.639
<v Speaker 10>the limit. In terms of this market, one of the

0:28:31.680 --> 0:28:34.040
<v Speaker 10>things is that it's a very noisy market. Everyone is

0:28:34.040 --> 0:28:36.680
<v Speaker 10>calling themselves a GENAI player, everyone is throwing AI into

0:28:36.680 --> 0:28:39.680
<v Speaker 10>their name, but in a lot of ways, again, we've

0:28:39.680 --> 0:28:42.160
<v Speaker 10>been at this for many years. We've stayed at the forefront,

0:28:42.320 --> 0:28:45.280
<v Speaker 10>and so it's really about showing customers what is true AI,

0:28:45.440 --> 0:28:47.760
<v Speaker 10>what you can actually deliver, and what that means for

0:28:47.840 --> 0:28:48.640
<v Speaker 10>their customers.

0:28:49.200 --> 0:28:51.440
<v Speaker 5>Deon, it's great to have you in town passing through

0:28:51.480 --> 0:28:53.160
<v Speaker 5>New York. Glad that you could stop by the show

0:28:53.400 --> 0:28:57.000
<v Speaker 5>for thoughts. CEO co founder Dion Nicholas, of course, talking

0:28:57.040 --> 0:28:59.360
<v Speaker 5>all things as we anticipate in video and were broadly

0:28:59.560 --> 0:29:01.440
<v Speaker 5>the impact generator A. I mean while coming up, but

0:29:01.480 --> 0:29:04.320
<v Speaker 5>we're going to be joined by Darren Abrahamson from Baine

0:29:04.320 --> 0:29:06.000
<v Speaker 5>Capital's techn Opportunities team.

0:29:05.800 --> 0:29:07.760
<v Speaker 1>To talk about where he's placing his bets.

0:29:07.760 --> 0:29:10.360
<v Speaker 5>Everyone's in town today, He's coming over from Boston to

0:29:10.400 --> 0:29:12.520
<v Speaker 5>be here in New York. Meanwhile, let's have quick check

0:29:12.520 --> 0:29:14.120
<v Speaker 5>on what's happening in terms of one of the AI

0:29:14.240 --> 0:29:16.239
<v Speaker 5>darlings of choice of late, which has been selling off

0:29:16.240 --> 0:29:17.480
<v Speaker 5>pretty hard over the last three.

0:29:17.360 --> 0:29:19.200
<v Speaker 1>Training days, super micro Computer.

0:29:19.560 --> 0:29:21.800
<v Speaker 5>Now actually short sellers have been notching about one point

0:29:21.840 --> 0:29:24.280
<v Speaker 5>two billion dollars of late as we've seen shares full

0:29:24.280 --> 0:29:26.320
<v Speaker 5>we're down another seven and three quarters of percent, but

0:29:26.880 --> 0:29:29.120
<v Speaker 5>remember this is a company that's up more than seven

0:29:29.240 --> 0:29:32.360
<v Speaker 5>hundred percent, and then last year this is a Bloomberg technology.

0:29:48.080 --> 0:29:50.880
<v Speaker 5>Let's returned to shares of Palo Altera Networks. Why because

0:29:50.880 --> 0:29:53.200
<v Speaker 5>they're heading for the biggest drop ever. That's after the

0:29:53.200 --> 0:29:56.360
<v Speaker 5>company cut its forecast amid a pullback in cybersecurity spending.

0:29:56.720 --> 0:29:59.200
<v Speaker 5>Joining us now is man leep seeing a bloomberg intelligence

0:29:59.240 --> 0:30:01.320
<v Speaker 5>and Mandat. The lie that caught me from the CEO

0:30:01.960 --> 0:30:03.760
<v Speaker 5>was that there's spending fatigue.

0:30:03.960 --> 0:30:04.840
<v Speaker 1>It says this is new.

0:30:06.480 --> 0:30:10.200
<v Speaker 11>Yeah, well, I think when you look at security, it's

0:30:10.280 --> 0:30:12.840
<v Speaker 11>one of those things that has worked really well along

0:30:12.880 --> 0:30:15.680
<v Speaker 11>with generative AI for the past few quarters. So it

0:30:15.800 --> 0:30:19.480
<v Speaker 11>makes you wonder what change in the last ninety days.

0:30:19.480 --> 0:30:22.600
<v Speaker 11>And they gave a prior guidance of about you know,

0:30:22.680 --> 0:30:25.080
<v Speaker 11>high teens growth for the full year and now they

0:30:25.120 --> 0:30:28.840
<v Speaker 11>cut it to loteins. So clearly, you know they are

0:30:28.920 --> 0:30:32.640
<v Speaker 11>seeing a change in environment. They tried to explain that with,

0:30:32.880 --> 0:30:35.840
<v Speaker 11>you know, a new go to market strategy, but you know,

0:30:36.040 --> 0:30:38.760
<v Speaker 11>pow Alta is the largest cybersecurity vendor and they have

0:30:38.920 --> 0:30:42.479
<v Speaker 11>had a lot of success with bundling their products. So

0:30:42.560 --> 0:30:45.320
<v Speaker 11>the fact that they are changing the go to market

0:30:45.720 --> 0:30:49.480
<v Speaker 11>in an environment that should favor cybersecurity, it is a

0:30:49.520 --> 0:30:51.960
<v Speaker 11>little bit of a surprise, and that's why you see

0:30:51.960 --> 0:30:53.080
<v Speaker 11>that kind of stock reaction.

0:30:53.360 --> 0:30:55.000
<v Speaker 5>And we've seen a run up of about one hundred

0:30:55.000 --> 0:30:57.320
<v Speaker 5>and twenty percent in the last year, which maybe is

0:30:57.320 --> 0:31:00.120
<v Speaker 5>why we've see the significant pullback Man Deep, But when

0:31:00.280 --> 0:31:03.040
<v Speaker 5>you went on to sort of outline that people don't

0:31:03.040 --> 0:31:04.920
<v Speaker 5>want to spend at the moment unless they see a

0:31:05.000 --> 0:31:09.600
<v Speaker 5>significant improvement, Well, the pole point of cybersecurity is ultimately

0:31:09.600 --> 0:31:11.640
<v Speaker 5>to be a defense. How do you think that they

0:31:11.840 --> 0:31:15.080
<v Speaker 5>and other competitors cloud strike can convince people to keep

0:31:15.160 --> 0:31:17.240
<v Speaker 5>on spending that you need to in this environment.

0:31:17.520 --> 0:31:20.360
<v Speaker 11>Yeah, it's a great point. Because the hyper scale cloud

0:31:20.400 --> 0:31:24.320
<v Speaker 11>providers are all giving you security. It's bundled security that

0:31:24.320 --> 0:31:28.280
<v Speaker 11>they are giving you. So these companies have to convince

0:31:28.400 --> 0:31:31.640
<v Speaker 11>the customers that it's something extra. They're supporting a multi

0:31:31.640 --> 0:31:35.600
<v Speaker 11>cloud strategy and the defenses that the hyperscalers give are

0:31:35.640 --> 0:31:38.000
<v Speaker 11>not enough. And in this case, I think Powell Alta

0:31:38.040 --> 0:31:42.000
<v Speaker 11>has to make that shift from firewalls to new subscriptions

0:31:42.080 --> 0:31:45.680
<v Speaker 11>cloud based revenue, which is at multi year transition. They

0:31:45.680 --> 0:31:49.200
<v Speaker 11>were doing well so far, but clearly the deceleration in

0:31:49.320 --> 0:31:53.480
<v Speaker 11>top line growth is definitely spooking a few investors over here.

0:31:53.640 --> 0:31:55.800
<v Speaker 5>As for sure, Man, name's saying so great to have

0:31:55.840 --> 0:31:58.440
<v Speaker 5>you on the show. Thank you of Bloomberg Intelligence. Now

0:31:58.440 --> 0:32:00.920
<v Speaker 5>we're going to turn our attention to the NUER landscape,

0:32:00.920 --> 0:32:02.920
<v Speaker 5>talk a little bit about cyber within it. I'm a

0:32:02.960 --> 0:32:05.440
<v Speaker 5>peace to Welcome to the show, Darren Abramson, he's partner

0:32:05.520 --> 0:32:09.120
<v Speaker 5>at Bain Capital's Tech Opportunities team on today's VC Spotlight.

0:32:09.160 --> 0:32:13.080
<v Speaker 5>Traveling in from Boston and I'm interested, Darren, and whether

0:32:13.560 --> 0:32:15.640
<v Speaker 5>you're hearing or seeing this from some of the startups

0:32:15.640 --> 0:32:17.400
<v Speaker 5>that you've been investing in. I know cyber has been

0:32:17.440 --> 0:32:19.880
<v Speaker 5>a theme, but all of us are talking about how

0:32:19.880 --> 0:32:22.440
<v Speaker 5>GENATVAI means that we need more cyber protection, not a

0:32:22.480 --> 0:32:23.440
<v Speaker 5>pullback or less.

0:32:24.080 --> 0:32:24.280
<v Speaker 6>Yeah.

0:32:24.280 --> 0:32:26.760
<v Speaker 12>I think it's really important that you sort of put

0:32:26.800 --> 0:32:28.320
<v Speaker 12>things in context. I think you pointed out on the

0:32:28.320 --> 0:32:30.479
<v Speaker 12>prior segment. You know, pale Alto's had a phenomenal run

0:32:30.560 --> 0:32:34.760
<v Speaker 12>up and a lot of the cyber companies really outperformed.

0:32:34.160 --> 0:32:35.000
<v Speaker 8>Over the last year.

0:32:35.160 --> 0:32:37.960
<v Speaker 12>As CFOs and customers look to cut back spend in

0:32:38.000 --> 0:32:40.200
<v Speaker 12>other areas of technology, cyber was one of those areas

0:32:40.200 --> 0:32:43.120
<v Speaker 12>that remain very resilient. But when we talked to chief

0:32:43.120 --> 0:32:45.800
<v Speaker 12>information security officers, what we're hearing a lot now is

0:32:45.840 --> 0:32:49.240
<v Speaker 12>particularly in the enterprise, that they don't want another solution.

0:32:49.320 --> 0:32:50.920
<v Speaker 12>They don't want to buy more. They need to actually

0:32:50.960 --> 0:32:53.480
<v Speaker 12>figure out how to integrate what they've got and patch

0:32:53.520 --> 0:32:56.120
<v Speaker 12>the holes that pop up inevitably when you integrate and

0:32:56.120 --> 0:32:59.440
<v Speaker 12>implement a lot of new technologies. That being said, to

0:32:59.480 --> 0:33:02.640
<v Speaker 12>your point, underlying threats persist, and I think AI is

0:33:02.680 --> 0:33:05.360
<v Speaker 12>going to accelerate that. Just the ease at which a

0:33:05.360 --> 0:33:08.000
<v Speaker 12>hacker can now you know, spoo for fish or spam

0:33:08.120 --> 0:33:10.120
<v Speaker 12>or do other things in a much more sophisticated way,

0:33:10.560 --> 0:33:13.280
<v Speaker 12>I think makes the cyber attack surface ever more dangerous.

0:33:13.600 --> 0:33:15.240
<v Speaker 12>And so we do see a lot of innovative new

0:33:15.280 --> 0:33:17.960
<v Speaker 12>companies that are solving those problems as well as in

0:33:18.000 --> 0:33:19.880
<v Speaker 12>other segments of the market, you know, down market. We

0:33:19.920 --> 0:33:22.560
<v Speaker 12>made an investment last year in a company called Blackpoint,

0:33:23.320 --> 0:33:26.080
<v Speaker 12>which has an MDR solution and they bring it sort

0:33:26.080 --> 0:33:28.760
<v Speaker 12>of all in one way to solve cyber problems for

0:33:28.800 --> 0:33:32.040
<v Speaker 12>smaller customers, and they're probably the highest growing company in

0:33:32.080 --> 0:33:34.800
<v Speaker 12>our portfolio right now because the demand is still clearly there.

0:33:34.800 --> 0:33:36.760
<v Speaker 12>So I think it very much depends on the segment

0:33:36.760 --> 0:33:38.560
<v Speaker 12>of the market the types of tools you're selling into.

0:33:39.160 --> 0:33:41.440
<v Speaker 5>Interesting that you point out that black Point Cyber was

0:33:41.720 --> 0:33:44.120
<v Speaker 5>a check you wrote last year where else have you

0:33:44.160 --> 0:33:45.040
<v Speaker 5>been deploying.

0:33:44.720 --> 0:33:45.440
<v Speaker 1>Your capital there?

0:33:45.480 --> 0:33:48.840
<v Speaker 5>For in this whole environment where generative AI suck the

0:33:48.840 --> 0:33:51.680
<v Speaker 5>oxygen down the room, have you just been leaning into

0:33:51.760 --> 0:33:53.240
<v Speaker 5>that theme or finding other ways?

0:33:53.560 --> 0:33:56.120
<v Speaker 12>Yeah, So our fund is really more sort of late

0:33:56.120 --> 0:33:59.320
<v Speaker 12>stage growth equity and even into some small growth her buyouts,

0:33:59.360 --> 0:34:01.560
<v Speaker 12>and so we're not we have a separate venture capital fund.

0:34:01.560 --> 0:34:03.160
<v Speaker 12>I think you've spoken to some of my partners from

0:34:03.200 --> 0:34:05.560
<v Speaker 12>that team before. You know, we really were born to

0:34:05.600 --> 0:34:07.640
<v Speaker 12>sit in between our venture effort and our large cap

0:34:07.640 --> 0:34:09.680
<v Speaker 12>private equity effort and sort of fill that gap for

0:34:09.840 --> 0:34:12.759
<v Speaker 12>later stage companies. And so for us, the generative I

0:34:13.160 --> 0:34:16.719
<v Speaker 12>sort of theme, which is obviously pervasive across the tech ecosystem,

0:34:17.200 --> 0:34:19.520
<v Speaker 12>is less of a direct investment opportunity. I think that's

0:34:19.840 --> 0:34:22.280
<v Speaker 12>earlier stage, you know, more risky, more venture capital.

0:34:23.000 --> 0:34:23.160
<v Speaker 9>You know.

0:34:23.200 --> 0:34:26.680
<v Speaker 12>For us, what we're looking for is established businesses, often

0:34:26.680 --> 0:34:30.200
<v Speaker 12>founder owned and led, who have reached some scale and

0:34:30.239 --> 0:34:32.560
<v Speaker 12>are looking for not just capital but support to kind

0:34:32.560 --> 0:34:34.440
<v Speaker 12>of help get to the next level. So, you know,

0:34:34.440 --> 0:34:36.280
<v Speaker 12>how do they get from fifty seventy five one hundred

0:34:36.280 --> 0:34:38.839
<v Speaker 12>million of revenue to two three four hundred million. And

0:34:38.880 --> 0:34:41.520
<v Speaker 12>that may be things like we need some outside help

0:34:41.560 --> 0:34:44.600
<v Speaker 12>in thinking about how to leverage generative AI to drive

0:34:44.600 --> 0:34:47.319
<v Speaker 12>our own process efficiency and find ways to innovate in

0:34:47.320 --> 0:34:49.920
<v Speaker 12>our product segment. It may be going to do their

0:34:49.960 --> 0:34:52.400
<v Speaker 12>first scale acquisition, it may be entering a new market,

0:34:52.640 --> 0:34:54.480
<v Speaker 12>and so we tend to be more focused right now

0:34:54.560 --> 0:34:57.000
<v Speaker 12>on how we can help our portfolio companies as well

0:34:57.040 --> 0:34:59.879
<v Speaker 12>as new investments leverage generatve AI as opposed to sort

0:34:59.880 --> 0:35:02.680
<v Speaker 12>of trying to back the next model or sort of

0:35:02.960 --> 0:35:03.719
<v Speaker 12>pure AI.

0:35:03.560 --> 0:35:04.279
<v Speaker 1>Company, if you will.

0:35:04.320 --> 0:35:07.080
<v Speaker 12>Now, over time that will evolve, but for now that

0:35:07.200 --> 0:35:08.560
<v Speaker 12>just feels to us a little bit early and a

0:35:08.560 --> 0:35:10.880
<v Speaker 12>little more sort of speculative than our focus.

0:35:11.400 --> 0:35:15.759
<v Speaker 5>And in that less speculative, more mature business, there has

0:35:15.840 --> 0:35:18.759
<v Speaker 5>been sort of a tough environment ultimately, people not wanting

0:35:18.800 --> 0:35:20.960
<v Speaker 5>to write such bigger checks to such big up companies

0:35:21.040 --> 0:35:25.120
<v Speaker 5>or indeed seed being very active other areas still slightly

0:35:25.160 --> 0:35:26.640
<v Speaker 5>concerned amid the economic environment.

0:35:26.840 --> 0:35:27.839
<v Speaker 1>Has that changed at all?

0:35:27.880 --> 0:35:29.560
<v Speaker 5>Have you actually found that, No, there was this real

0:35:29.600 --> 0:35:33.320
<v Speaker 5>sweet spot where companies are actually revenue generating, profit generating,

0:35:33.360 --> 0:35:34.799
<v Speaker 5>and that's where you want to be writing the checks.

0:35:34.960 --> 0:35:37.160
<v Speaker 12>Yeah, I think you've Again, I think there's different segments

0:35:37.200 --> 0:35:39.440
<v Speaker 12>of the market where we play. So what we did

0:35:39.480 --> 0:35:41.560
<v Speaker 12>see in the back half of last year. Is activity

0:35:41.560 --> 0:35:43.920
<v Speaker 12>really start to pick out on the buy outside of

0:35:43.960 --> 0:35:46.840
<v Speaker 12>our business. So growth your sort of mid market buyouts.

0:35:47.680 --> 0:35:51.360
<v Speaker 12>You know, companies that are high quality businesses of scale,

0:35:51.480 --> 0:35:54.400
<v Speaker 12>have some profitability, and in many cases have existing investors

0:35:54.440 --> 0:35:56.880
<v Speaker 12>who are starting to think about liquidity after a period

0:35:56.880 --> 0:35:59.160
<v Speaker 12>of the environment where it was tougher to do so.

0:35:59.200 --> 0:36:01.160
<v Speaker 12>And so that part of our business has picked up

0:36:01.239 --> 0:36:02.160
<v Speaker 12>quite significantly.

0:36:02.200 --> 0:36:04.880
<v Speaker 5>He's doing the buying, who are they tending to go

0:36:04.920 --> 0:36:07.120
<v Speaker 5>with other smaller companies? Are they being bought by larger companies,

0:36:07.160 --> 0:36:08.240
<v Speaker 5>Because it's a combination.

0:36:08.680 --> 0:36:10.759
<v Speaker 12>I'd say in many cases where where we're looking, it's

0:36:10.840 --> 0:36:13.680
<v Speaker 12>new financial investors coming in with a new thesis and

0:36:13.719 --> 0:36:16.319
<v Speaker 12>you know, providing some liquidity. In other cases, some of

0:36:16.360 --> 0:36:19.680
<v Speaker 12>our portfolio companies, you know, bigger, better capitalized businesses are

0:36:19.680 --> 0:36:22.560
<v Speaker 12>looking to take advantage and drive M and A as well.

0:36:22.800 --> 0:36:24.960
<v Speaker 12>And then you're seeing some activity from larger strategic So

0:36:25.160 --> 0:36:27.360
<v Speaker 12>i'd say that's still you know, less active. Obviously, the

0:36:27.400 --> 0:36:29.880
<v Speaker 12>IPO markets haven't been a real path for this. So

0:36:30.080 --> 0:36:32.120
<v Speaker 12>the buy outside of our business has been quite active

0:36:32.120 --> 0:36:34.080
<v Speaker 12>and really picked up over the last quarter or two.

0:36:35.160 --> 0:36:37.960
<v Speaker 12>The growth side I'd say is a tale of two worlds.

0:36:38.000 --> 0:36:40.640
<v Speaker 12>If you were one of the companies that raised you know,

0:36:40.800 --> 0:36:43.360
<v Speaker 12>at peak multiples very you know, at the top of

0:36:43.360 --> 0:36:46.200
<v Speaker 12>the market in twenty twenty one, it's still difficult to.

0:36:46.160 --> 0:36:47.000
<v Speaker 1>Go back to market.

0:36:47.600 --> 0:36:50.760
<v Speaker 12>People are still you know, somewhat stigmatic about down rounds,

0:36:50.800 --> 0:36:52.640
<v Speaker 12>and we're seeing a little bit more of that ease up,

0:36:53.640 --> 0:36:55.240
<v Speaker 12>but that part of the market, I think those companies

0:36:55.239 --> 0:36:58.440
<v Speaker 12>still need to grow into those valuations. For the most part. However,

0:36:58.560 --> 0:37:00.960
<v Speaker 12>where we tend to focus is a lot of founder

0:37:01.000 --> 0:37:03.040
<v Speaker 12>owned businesses who didn't raise money during that period of

0:37:03.040 --> 0:37:05.760
<v Speaker 12>time and where we're sort of the first institutional capital

0:37:05.800 --> 0:37:08.640
<v Speaker 12>coming in, and that's very different. The dynamics there are

0:37:08.800 --> 0:37:12.120
<v Speaker 12>around relationship and partnership, and it's less about what's going

0:37:12.160 --> 0:37:14.360
<v Speaker 12>on in the macro and more about when that specific

0:37:14.400 --> 0:37:17.480
<v Speaker 12>founder identifies an opportunity to do something different with their

0:37:17.520 --> 0:37:20.120
<v Speaker 12>business and wants the right partner to help them do that.

0:37:20.200 --> 0:37:22.239
<v Speaker 12>And that tends to be a pretty active segment of

0:37:22.239 --> 0:37:24.400
<v Speaker 12>the market where we've found, actually all of our investments

0:37:24.440 --> 0:37:25.600
<v Speaker 12>last year were a flavor of that.

0:37:25.680 --> 0:37:27.799
<v Speaker 5>For example, and those founders who are by them in

0:37:27.800 --> 0:37:29.920
<v Speaker 5>bootstrapped or have had wealth to be able to invest

0:37:29.920 --> 0:37:34.280
<v Speaker 5>in sales beforehand. I think coming from East coast of America,

0:37:34.320 --> 0:37:36.840
<v Speaker 5>are they generally US? Are you looking more further afield

0:37:36.880 --> 0:37:37.400
<v Speaker 5>and globally.

0:37:37.520 --> 0:37:39.400
<v Speaker 12>It's a great question. You know, we're big believers that

0:37:39.440 --> 0:37:41.480
<v Speaker 12>there are great companies being built all over the world.

0:37:41.520 --> 0:37:44.760
<v Speaker 12>So we have investments in Japan and Brazil and Europe

0:37:44.800 --> 0:37:48.440
<v Speaker 12>and Israel and all over the US. Interestingly, only one

0:37:48.480 --> 0:37:50.640
<v Speaker 12>of our portfolio companies is actually from the Bay Area.

0:37:50.840 --> 0:37:54.640
<v Speaker 12>We have two from Nebraska to phenomenal software companies all

0:37:54.719 --> 0:37:56.279
<v Speaker 12>up and down the East Coast, and so I think

0:37:56.320 --> 0:38:00.360
<v Speaker 12>it really speaks this idea of there's talent everywhere andnology

0:38:00.480 --> 0:38:03.640
<v Speaker 12>is transforming industries around the world. And so our job

0:38:03.680 --> 0:38:06.239
<v Speaker 12>is to go find those founders. And often they're not

0:38:06.280 --> 0:38:08.480
<v Speaker 12>in places you might expect, but they're building, you know,

0:38:08.520 --> 0:38:12.239
<v Speaker 12>phenomenal businesses kind of under the radar, and eventually we'll

0:38:12.239 --> 0:38:13.800
<v Speaker 12>get to a size and scale where they want to

0:38:13.840 --> 0:38:15.919
<v Speaker 12>partner like us to help them sort of scale and grow.

0:38:16.040 --> 0:38:19.040
<v Speaker 1>And how do you find those founders? What is your

0:38:19.040 --> 0:38:19.920
<v Speaker 1>pipeline look like?

0:38:20.040 --> 0:38:22.400
<v Speaker 5>Is it introductions of one found and on business turning

0:38:22.400 --> 0:38:23.960
<v Speaker 5>to another fun in their business, saying they've been a

0:38:24.000 --> 0:38:26.919
<v Speaker 5>great partner is it people that you know have been

0:38:27.440 --> 0:38:29.359
<v Speaker 5>backed to with I mean, how have you found these

0:38:29.360 --> 0:38:29.799
<v Speaker 5>sorts of.

0:38:30.160 --> 0:38:33.279
<v Speaker 12>So this is where I think being part of a

0:38:33.360 --> 0:38:36.399
<v Speaker 12>firm and a platform like being capital is really advantageous.

0:38:36.719 --> 0:38:38.960
<v Speaker 12>You know, we've been investing in the tech ecosystem for

0:38:39.320 --> 0:38:40.239
<v Speaker 12>really our history.

0:38:40.280 --> 0:38:41.080
<v Speaker 1>This is our forty year.

0:38:40.960 --> 0:38:43.520
<v Speaker 12>Anniversary, and so there's a huge amount of relationships and

0:38:43.560 --> 0:38:46.760
<v Speaker 12>networks around the world. We obviously have a venture capital business,

0:38:47.000 --> 0:38:48.440
<v Speaker 12>and so they're seeing a lot of companies at the

0:38:48.480 --> 0:38:51.560
<v Speaker 12>earlier stages, some of which they invest in, many they don't,

0:38:51.600 --> 0:38:54.480
<v Speaker 12>but those relationships persist and ultimately may grow into things

0:38:54.520 --> 0:38:56.759
<v Speaker 12>that are relevant for us. And then there's a lot

0:38:56.800 --> 0:38:59.799
<v Speaker 12>of just proactive sort of outreach. You know, our team

0:38:59.840 --> 0:39:01.760
<v Speaker 12>is traveling all over the world, all over the country

0:39:02.520 --> 0:39:05.040
<v Speaker 12>in very targeted sectors. We like to really focus on

0:39:05.440 --> 0:39:07.719
<v Speaker 12>sub segments of the market that we know well, specific

0:39:07.760 --> 0:39:11.759
<v Speaker 12>pockets of cybersecurity, vertical software, healthcare, IT, fintech, and so

0:39:11.840 --> 0:39:14.120
<v Speaker 12>within those we're trying to be very thematic around Okay,

0:39:14.160 --> 0:39:16.560
<v Speaker 12>these are the segments, these are the companies, these are

0:39:16.560 --> 0:39:18.120
<v Speaker 12>the founders, and how do we get in front of

0:39:18.120 --> 0:39:20.880
<v Speaker 12>them build those relationships which in many cases take you know,

0:39:20.880 --> 0:39:23.440
<v Speaker 12>four or five six years until they result in any

0:39:23.520 --> 0:39:26.080
<v Speaker 12>kind of transaction opportunity, until a lot of our time

0:39:26.120 --> 0:39:27.320
<v Speaker 12>and effort is really spent there.

0:39:27.800 --> 0:39:30.279
<v Speaker 5>So relationship business, thanks for spending some of that time

0:39:30.320 --> 0:39:33.640
<v Speaker 5>with us today, darn Abramsen, his partner at Bain Capital's

0:39:33.640 --> 0:39:44.880
<v Speaker 5>tech opportunities team. Universal Music it snapped up a minority

0:39:44.920 --> 0:39:47.560
<v Speaker 5>stake in coren Music Partners. That's a company that owns

0:39:47.600 --> 0:39:50.080
<v Speaker 5>one than sixty thousand songs by the likes of John

0:39:50.160 --> 0:39:52.080
<v Speaker 5>Legend or Lord or The Weekend and more. And the

0:39:52.160 --> 0:39:54.200
<v Speaker 5>music giant is actually paying two hundred and forty million

0:39:54.239 --> 0:39:56.560
<v Speaker 5>dollars for a twenty five point eight per cent steak

0:39:56.680 --> 0:40:00.080
<v Speaker 5>in the business here with more on why Murkes Michelle Davis,

0:40:00.160 --> 0:40:03.320
<v Speaker 5>and the reason is well, sort of exposure to music

0:40:03.400 --> 0:40:05.880
<v Speaker 5>rights to them bring to the masses, How do they benefit?

0:40:06.320 --> 0:40:09.560
<v Speaker 9>So? Universal Music already owns a ton of music rights.

0:40:09.920 --> 0:40:11.560
<v Speaker 9>You'll remember a big deal they did a couple of

0:40:11.600 --> 0:40:13.560
<v Speaker 9>years ago was buying Bob Dylan's whole catalog.

0:40:15.000 --> 0:40:16.319
<v Speaker 1>But this by being a.

0:40:16.280 --> 0:40:18.759
<v Speaker 9>Minority of investor, they're gonna have exposure to these music

0:40:18.800 --> 0:40:22.000
<v Speaker 9>rights in this particular catalog without being a direct owner.

0:40:22.719 --> 0:40:24.520
<v Speaker 9>Universal Music as well as a lot of other big

0:40:24.560 --> 0:40:27.319
<v Speaker 9>media music companies. Media companies are under pressure right now

0:40:27.320 --> 0:40:30.120
<v Speaker 9>to show returns to their shareholders, and this is kind

0:40:30.120 --> 0:40:31.640
<v Speaker 9>of an indirect way for them to do that without

0:40:31.680 --> 0:40:34.680
<v Speaker 9>spending too much, you know, dipping their toes into this

0:40:34.719 --> 0:40:38.239
<v Speaker 9>particular catalog, without just putting too much of their balance

0:40:38.280 --> 0:40:40.160
<v Speaker 9>sheet behind it. But I think it all speaks to

0:40:40.200 --> 0:40:43.279
<v Speaker 9>a much bigger trend within the music industry where some

0:40:43.360 --> 0:40:46.960
<v Speaker 9>of the traditional you know, Wall Street firms like Kkar, Apollo,

0:40:47.000 --> 0:40:50.160
<v Speaker 9>Blackstone that really poured money into the industry a few

0:40:50.200 --> 0:40:53.040
<v Speaker 9>years ago when music valuations were surging, they've all been

0:40:53.080 --> 0:40:56.040
<v Speaker 9>looking for an exit because you know, private equity, even

0:40:56.160 --> 0:41:00.279
<v Speaker 9>outside of music, outside of entertainment, Their LPs want them

0:41:00.320 --> 0:41:03.279
<v Speaker 9>to show some returns, to returns some money. As it's

0:41:03.280 --> 0:41:05.400
<v Speaker 9>gotten more expensive to them for them to invest in

0:41:05.480 --> 0:41:08.480
<v Speaker 9>stuff with rates going up, they've been under pressure to

0:41:08.520 --> 0:41:10.800
<v Speaker 9>show that that money to them. And this for Kkar,

0:41:11.080 --> 0:41:12.840
<v Speaker 9>you know, exiting, this is one way for them to

0:41:13.200 --> 0:41:13.480
<v Speaker 9>do that.

0:41:13.960 --> 0:41:18.239
<v Speaker 5>So Dundee Partners takes the other seventy odd percent of it,

0:41:18.400 --> 0:41:21.680
<v Speaker 5>and that's run by the Handel family. Ultimately, what does

0:41:21.800 --> 0:41:26.000
<v Speaker 5>Universal Music benefited shareholders with right with rights ownership. Is

0:41:26.000 --> 0:41:27.440
<v Speaker 5>it that they think the value will go up on

0:41:27.480 --> 0:41:29.040
<v Speaker 5>the rights to the music or they can use it.

0:41:29.000 --> 0:41:30.440
<v Speaker 1>In different and more interesting manners.

0:41:30.680 --> 0:41:32.359
<v Speaker 9>I think that's part of the assumption is you have

0:41:32.440 --> 0:41:34.600
<v Speaker 9>to expect if the value will go up, and it's

0:41:34.640 --> 0:41:36.920
<v Speaker 9>also a predictable revenue stream for them.

0:41:36.960 --> 0:41:40.080
<v Speaker 1>You know, you know right now a lot of the music.

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<v Speaker 9>Industry has recovered because we've figured out streaming. Compared to

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<v Speaker 9>twenty years ago, when you know, the music industry didn't

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<v Speaker 9>know what to do with everyone pirating music. Streaming is

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<v Speaker 9>a thing now, but they're still facing a lot of disruption.

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<v Speaker 9>There's questions around what will happen with TikTok and ai,

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<v Speaker 9>how that will affect everything. So this just gives them

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<v Speaker 9>a predictable revenue stream to build as show investors.

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<v Speaker 1>Well said Michelle Davis.

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<v Speaker 5>We thank you for a time on all those transactions

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<v Speaker 5>within the music industry. Meanwhile, how does it for this

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<v Speaker 5>edition of bloombig Technology. You do not want to forget

0:42:08.600 --> 0:42:10.880
<v Speaker 5>to check out our podcast. Got so much more to

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<v Speaker 5>wrap up, and of course stay braced from video earnings

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<v Speaker 5>after the bell we'll be digesting that tomorrow.

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<v Speaker 1>This is bluebad Technology