WEBVTT - Microsoft and AMD Earnings, and Nvidia and Meta CEOs Discuss AI

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From the heart of where Innovation, money and power. Collie

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<v Speaker 2>in Silicon Valley, Nbon.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 4>Live from New York.

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<v Speaker 5>This is Bloomberg Technology, Microsoft and AMD earnings on deck

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<v Speaker 5>as big tech flirts with a correction, and we hear

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<v Speaker 5>from Nvidio's CEO on Meta and Zuckerberg being their most

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<v Speaker 5>important customers. Plus a Tesla test drive that hit a roadbump.

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<v Speaker 5>Truest analyst William Stein joining us after narrowly avoiding a

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<v Speaker 5>car accident while testing full self driving.

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<v Speaker 4>This is a big day.

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<v Speaker 5>It's the charting gun basically for megacap tech earning. So

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<v Speaker 5>after market, you start with Microsoft and you start with AMD,

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<v Speaker 5>talking a lot about the money machine, the money going

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<v Speaker 5>into the machine, the investment in the infrastructure. That's where

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<v Speaker 5>we check on AMD that soft buy almost a percentage point.

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<v Speaker 5>The money coming out is the top line growth. Are

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<v Speaker 5>we going to see any anything tangible from Microsoft? In

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<v Speaker 5>particular massive investment in terms of CAPEX into the GPUs

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<v Speaker 5>and infrastructure needed for their cloud business. How is that

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<v Speaker 5>translating to top line growth? Let's talk about it and

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<v Speaker 5>what to expect with the Cole Web Senior vice president

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<v Speaker 5>and financial advisor at the Wealth Enhancement Group, a national

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<v Speaker 5>independent wealth management firm with eighty five point seven billion

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<v Speaker 5>dollars in client assets. I've been talking about the money

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<v Speaker 5>machine here on Bloomberg Technology, the money in for infrastructure

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<v Speaker 5>and not knowing how much money's coming out in terms

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<v Speaker 5>of top line growth.

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<v Speaker 4>Is that how you would approach earnings?

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<v Speaker 6>Yeah, you know, I think it's it's unique and you

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<v Speaker 6>have to look at each company differently, and the setup

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<v Speaker 6>going into this week is one where I think there

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<v Speaker 6>has to be a hyper focus on the unique business

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<v Speaker 6>model of each So when we talk specifically about Microsoft,

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<v Speaker 6>the thing that we know is that capacity is below demand.

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<v Speaker 7>So to your point, the spending is going to be high.

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<v Speaker 7>We expect that both in land GPUs, but on the

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<v Speaker 7>same token, we expect that bookings are going to be

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<v Speaker 7>relatively strong again this past quarter, and so we look

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<v Speaker 7>to names like Microsoft or continued Efficiency where they can

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<v Speaker 7>offset some of that cost spend through other parts of

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<v Speaker 7>the business. The other thing that I would mention, you know,

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<v Speaker 7>our King's point team is things that there's actually going

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<v Speaker 7>to be this transition over where the forgotten sub sector

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<v Speaker 7>of software is going to be more part of the

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<v Speaker 7>conversation again going forward. So we expect that both from Microsoft,

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<v Speaker 7>and we actually really think that about salesforce as well.

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<v Speaker 5>Let's focus in on Microsoft. I think language is really important.

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<v Speaker 5>Last quarter, Microsoft told us Nicole that they had over

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<v Speaker 5>rule more than thirty percent top line growth for the

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<v Speaker 5>cloud unit, and they said seven percent of that was

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<v Speaker 5>a contribution from AI. Do you think that a number

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<v Speaker 5>like that is enough for investors to say, okay, I

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<v Speaker 5>believe the story for all the investment you've made, you

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<v Speaker 5>are out actually making money from this AI thing.

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<v Speaker 7>You know, this is where we are in a pivotal

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<v Speaker 7>moment in evaluation. And so when you think about where

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<v Speaker 7>exactly AI is going to take us five years from now,

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<v Speaker 7>nobody knows the answer on that. What you're listening for

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<v Speaker 7>is when can I expect any glimmer of return on

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<v Speaker 7>the invested capital that's going to work today?

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<v Speaker 8>And so you've seen that play out in.

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<v Speaker 7>The last few weeks where you really did have to

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<v Speaker 7>right size your positions as valuations looked a bit stretched

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<v Speaker 7>if that is going to be a moving target. And

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<v Speaker 7>so we are very much of the choppy and the

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<v Speaker 7>short term great returns in a longer period of time

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<v Speaker 7>as you see that navigation both of right sizing positions

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<v Speaker 7>here to date from that really fast priced movement, and

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<v Speaker 7>then also this expected drop down.

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<v Speaker 8>In earnings in the next couple of quarters.

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<v Speaker 5>There's a line in one of our Bloomberg Terminal stories

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<v Speaker 5>today about how Microsoft is like one of the most

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<v Speaker 5>widely held stocks in the world amongst retail investors and

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<v Speaker 5>institutional investors. What kind of a dynamic is that when

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<v Speaker 5>you talk to clients, it seems that Microsoft's always been

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<v Speaker 5>there and you want to have a piece of it.

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<v Speaker 7>Yeah, Microsoft became the utility of enterprise business, and so

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<v Speaker 7>when you think about the structure of both business and

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<v Speaker 7>personal life today, Microsoft is at the center of that.

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<v Speaker 7>What Microsoft has built out for the consumer is a

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<v Speaker 7>unique story, and so you can both look to them

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<v Speaker 7>for having the free cash flow, the money to the

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<v Speaker 7>money to build the the future of infrastructure, will also

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<v Speaker 7>providing those subscription level services that are so necessary for

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<v Speaker 7>day to day operations, and so from that perspective, it's

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<v Speaker 7>really hard to break up with a position like Microsoft

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<v Speaker 7>in a portfolio.

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<v Speaker 5>Niicole I wanted to ask what this week's going to

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<v Speaker 5>be like for you. You know, if you're a technology investor,

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<v Speaker 5>you have just this incredible calendar of the world's biggest

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<v Speaker 5>technology names reporting and then a FED meeting slap bang

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<v Speaker 5>in the middle of it. How do you operate like

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<v Speaker 5>that in that environment?

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<v Speaker 8>Yeah, you know.

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<v Speaker 7>I think starting on Friday, what we started to see

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<v Speaker 7>was the narrowing in the divergence between Nasdaq and small cap,

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<v Speaker 7>and so that gave us a better footing going into

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<v Speaker 7>this week.

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<v Speaker 8>When we think about the FED.

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<v Speaker 7>We really see that as creating this backdrop where we

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<v Speaker 7>believe there can be wider participation. So we want diversified

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<v Speaker 7>portfolios to have their moment in the sun.

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<v Speaker 8>Again, I think seeing.

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<v Speaker 7>Too much return for too few names creates an investor

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<v Speaker 7>sentiment that is systemically.

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<v Speaker 8>Going to lead them in the wrong direction.

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<v Speaker 7>At the same time, though you've seen some of these

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<v Speaker 7>names like Meta, where we've chosen to deploy more cash

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<v Speaker 7>because you see where they're trading, and from a relative

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<v Speaker 7>valuation perspective at twenty two times, you have kind of

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<v Speaker 7>a tiny risk there, and so you can play both

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<v Speaker 7>sides of this leading into earnings.

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<v Speaker 8>When you have moments of volatility like we've had.

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<v Speaker 5>Mess is a great final thought based on the idea

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<v Speaker 5>you separate them out from the rest of the megacaps,

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<v Speaker 5>and it's something for us to look forward to see.

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<v Speaker 5>Nicole Webb, Senior vice president and financial advisor at the

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<v Speaker 5>Wealth Enhancement Group, Thank you now. Sticking with earnings so far,

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<v Speaker 5>CEO Anthony Noto joined Bloomberg just moments ago. Here's what

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<v Speaker 5>we had to say about the company's results. But also

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<v Speaker 5>it's planned for diversification.

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<v Speaker 9>Over the next five years.

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<v Speaker 10>I would expect our growth to result in revenue that's

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<v Speaker 10>about thirty percent financial services revenue, thirty percent tech platform revenue,

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<v Speaker 10>and thirty percent lending.

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<v Speaker 2>The business that's.

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<v Speaker 10>Growing the fastest now and that's increasing as a percent

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<v Speaker 10>of revenue the fastest is the financial services segment. We

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<v Speaker 10>had a record revenue for the quarter at close to

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<v Speaker 10>six hundred million dollars and twenty two percent growth, and

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<v Speaker 10>it was really driven by that financial services segment that

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<v Speaker 10>grew eighty percent year of year and is now starting

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<v Speaker 10>to reach real scale at about one hundred and seventy

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<v Speaker 10>million dollars of revenue. It's benefiting from fifty eight percent

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<v Speaker 10>growth in AUM in our invest business. It's benefiting from

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<v Speaker 10>deposit growth of eighty percent, and it's growing. It's benefiting

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<v Speaker 10>from high interchange revenue growth as well, and of course

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<v Speaker 10>forty percent product growth in that segment. So that'll be

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<v Speaker 10>the horse that we continue to ride to drive the diversification.

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<v Speaker 10>The second element would be, as you mentioned, the technology

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<v Speaker 10>platform business, which we believe is a mid to high

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<v Speaker 10>teens grower for the rest of this year, for the

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<v Speaker 10>full year I mean, and then going to twenty percent

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<v Speaker 10>growth shares. We have a great backlog of partners coming

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<v Speaker 10>online hopefully in twenty twenty.

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<v Speaker 11>Five, and theny One major question is around interest rates.

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<v Speaker 11>If you do see the FED cut this year, then

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<v Speaker 11>what does that four point six percent APY on your

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<v Speaker 11>sofa money product look like moving forward? If it lowers,

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<v Speaker 11>how competitive do you have to be to keep that

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<v Speaker 11>money flowing in.

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<v Speaker 10>Yeah, we think we'll still have a very competitive APY

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<v Speaker 10>and a declining rate environment. Several of our businesses will

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<v Speaker 10>benefit meetingful from a higher lower rate environment. The loans

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<v Speaker 10>in our balance sheet will be worth more. Everything else equal.

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<v Speaker 10>Home loans will actually see more financing, and that business

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<v Speaker 10>should benefit for greater demand, greater marketing, efficiencies gre greater

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<v Speaker 10>flow through.

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<v Speaker 9>Also our student loan and financing business would benefit. That

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<v Speaker 9>will all allow us.

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<v Speaker 10>To continue to maintain a very high APY relative to competition.

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<v Speaker 10>Many of our competitors that offer an APY that's even

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<v Speaker 10>close stars We're at four point six percent if you

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<v Speaker 10>do direct deposit, We're still superior to others. But those

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<v Speaker 10>that are to us will struggle to keep the same

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<v Speaker 10>rate in the same premium because they're not origination platforms.

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<v Speaker 10>So we benefit from both of those businesses working well together.

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<v Speaker 5>That was so FI CEO Anthony Noto, along with Bloomberg's

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<v Speaker 5>Shnale bask Another top story we're looking at is PayPal,

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<v Speaker 5>the company that suddenly got a sixty million dollar market

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<v Speaker 5>gap shares notably higher, up almost eight percent, jumping the

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<v Speaker 5>most in more than like twenty months adjusted EPs. You know,

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<v Speaker 5>the guidance that will increase loads of single digits I

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<v Speaker 5>think beats expectations. And then we discuss less on Bloomberg technology,

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<v Speaker 5>but one that seems to be holding its own in

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<v Speaker 5>the earnings context.

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<v Speaker 4>We will revisit it all right.

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<v Speaker 5>Coming up on the show, we will be joined by

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<v Speaker 5>Truest Security Senior analyst William Stein on his experience using

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<v Speaker 5>Tesla's full self driving technology. That's next, This is Bloomberg technology.

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<v Speaker 5>Elon Musk has said during Tesla's last two earnings calls

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<v Speaker 5>that investors won't understand the company unless they're using the

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<v Speaker 5>driver assistance system marketed as full self driving. Well Truest

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<v Speaker 5>Securities Managing director and senior analyst William Stein did just that,

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<v Speaker 5>and he writes the version he tried is quote stunningly good,

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<v Speaker 5>but does not solve autonomy. In fact, he even narrowly

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<v Speaker 5>avoided a crash or accident. William Stein joins me now

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<v Speaker 5>for more. And William, when I said on social media

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<v Speaker 5>you were coming on the program, many many people pointed

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<v Speaker 5>out that the version of a FSD you were using

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<v Speaker 5>was twelve point three point six, not the latest twelve

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<v Speaker 5>point five, which rolled out starting Friday last week and

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<v Speaker 5>in a limited release through the weekend. So let's start here.

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<v Speaker 5>Give me the basics of the tests you conducted, where

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<v Speaker 5>you conducted it, whose Tesla you were using, and the

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<v Speaker 5>parameters around it.

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<v Speaker 12>Please, yeah, that's a very fair question. Thanks for having me.

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<v Speaker 12>So both the test initially after the Q one earnings

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<v Speaker 12>report and the Q two report were done you know,

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<v Speaker 12>under very similar conditions. Sunny, dry, easy to see, easy

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<v Speaker 12>to operate. This was a Tesla owned car.

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<v Speaker 9>This was, you know, a I.

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<v Speaker 12>Approached Tesla as if I were any other potential buyer.

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<v Speaker 12>So I went to a Tesla showroom, signed up, and

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<v Speaker 12>plugged in a relatively local address about seven miles away

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<v Speaker 12>from from the showroom, someplace near where I live in

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<v Speaker 12>suburban New York City. And that was the setup, and

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<v Speaker 12>it mostly worked well in both cases.

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<v Speaker 4>And William, just real quick, when did this test take place?

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<v Speaker 9>Sure?

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<v Speaker 12>So the first one that I tried was right after

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<v Speaker 12>Q one, when Musk first issued this sort of directive

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<v Speaker 12>to investors or potential investors that they must see this

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<v Speaker 12>in order to determine whether they should invest in the company.

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<v Speaker 12>So that was about a quarter ago. And the most

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<v Speaker 12>recent one was done on Friday. Okay, And I'd like

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<v Speaker 12>to acknowledge that we did not have version twelve dot five.

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<v Speaker 12>I have asked the company for access to it hasn't

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<v Speaker 12>been made available to me yet. I think they will,

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<v Speaker 12>just it wasn't available when I went to the dealer

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<v Speaker 12>or to the I should say, to the showroom, and

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<v Speaker 12>I was using twelve to three dot six.

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<v Speaker 5>That's correct, William did test the response specifically to the

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<v Speaker 5>research report that you posted.

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<v Speaker 12>I reached out to management in a proactive effort to

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<v Speaker 12>not hide from them, because I think it's important when

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<v Speaker 12>one is critical of technology or a solution or a

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<v Speaker 12>financial aspect of a company.

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<v Speaker 9>That did not be confused with an attack or especially

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<v Speaker 9>something that's unfair.

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<v Speaker 12>And there was a reply, and it wasn't really substantial

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<v Speaker 12>other than you know, we understand your view and it's

0:13:11.600 --> 0:13:13.240
<v Speaker 12>okay to have a difference of opinion.

0:13:13.440 --> 0:13:15.840
<v Speaker 5>We're actually showing some style, William, just really quick. We're

0:13:15.880 --> 0:13:19.839
<v Speaker 5>showing some file footage of FSD which comes from Tesla.

0:13:19.920 --> 0:13:22.040
<v Speaker 5>It's not the trip that you took, and so I'm

0:13:22.080 --> 0:13:25.720
<v Speaker 5>just stating that because you used a Tesla sort of

0:13:25.800 --> 0:13:28.880
<v Speaker 5>showroom or dealership vehicle, you don't actually have access to

0:13:28.880 --> 0:13:30.280
<v Speaker 5>the footage from your trip, do you.

0:13:31.920 --> 0:13:32.560
<v Speaker 9>That's correct.

0:13:32.880 --> 0:13:35.200
<v Speaker 12>I tried to take I actually had my son with

0:13:35.240 --> 0:13:39.840
<v Speaker 12>me taking some videos, but unfortunately we didn't capture the

0:13:39.840 --> 0:13:45.360
<v Speaker 12>most interesting and most exciting, okay parts of the trip

0:13:45.679 --> 0:13:47.400
<v Speaker 12>or when I avoided in your ground.

0:13:47.480 --> 0:13:49.760
<v Speaker 5>One of the things you tested was the ability to

0:13:49.880 --> 0:13:53.160
<v Speaker 5>look away from the wheel right, and so I have

0:13:53.280 --> 0:13:55.400
<v Speaker 5>twelve point five on my own Tesla at home, and

0:13:55.480 --> 0:13:58.520
<v Speaker 5>I put on X for example my experiences with it.

0:13:58.600 --> 0:14:00.360
<v Speaker 5>But it doesn't require me to have my hands on

0:14:00.400 --> 0:14:02.840
<v Speaker 5>the wheel. It does require me to stay focused. The

0:14:02.880 --> 0:14:06.640
<v Speaker 5>camera in the cabin judges my ability to be attentive.

0:14:07.040 --> 0:14:10.000
<v Speaker 5>You tested by turning your head away for twenty to

0:14:10.080 --> 0:14:14.680
<v Speaker 5>forty seconds. My question around that is whether NITSA has

0:14:14.720 --> 0:14:16.959
<v Speaker 5>reached out to you, because that's one area that they've

0:14:17.000 --> 0:14:17.439
<v Speaker 5>looked at.

0:14:19.840 --> 0:14:23.080
<v Speaker 12>NITSA has not reached out to me. I was very

0:14:23.120 --> 0:14:27.960
<v Speaker 12>surprised that the car allowed me to be not just distracted.

0:14:28.000 --> 0:14:31.120
<v Speaker 12>I mean my head was completely turned away. I was looking,

0:14:31.280 --> 0:14:34.080
<v Speaker 12>you know, in the back seat. And you know, luckily

0:14:34.120 --> 0:14:35.760
<v Speaker 12>I was able to do this because I brought my

0:14:35.800 --> 0:14:38.040
<v Speaker 12>son with me and I said, hey, you know, tell

0:14:38.080 --> 0:14:40.960
<v Speaker 12>me if i'm if there's anything dangerous about to happen.

0:14:41.000 --> 0:14:46.480
<v Speaker 12>We were on a relatively you know, underpopulated area and

0:14:46.560 --> 0:14:49.400
<v Speaker 12>on the highway, so it was fairly predictable, and I

0:14:49.440 --> 0:14:52.920
<v Speaker 12>trusted him to give me enough warning. The car allowed

0:14:52.960 --> 0:14:54.320
<v Speaker 12>me to do is for something on the order of

0:14:54.400 --> 0:14:56.080
<v Speaker 12>thirty seconds, which.

0:14:56.080 --> 0:14:58.320
<v Speaker 9>Sixty miles an hour. It's half a mile.

0:14:58.360 --> 0:14:59.720
<v Speaker 12>I mean, you could do a lot of damage in

0:14:59.760 --> 0:15:01.720
<v Speaker 12>that that was sort of stunning.

0:15:01.760 --> 0:15:05.000
<v Speaker 9>When I got back to the showroom.

0:15:04.400 --> 0:15:09.320
<v Speaker 12>The service associate told me, oh, that's demo mode, and

0:15:09.360 --> 0:15:15.520
<v Speaker 12>that's to make the experience more useful and perhaps easy

0:15:16.040 --> 0:15:19.440
<v Speaker 12>for an inexperienced user of this technology.

0:15:20.280 --> 0:15:22.080
<v Speaker 9>For me, it was a little frightening, right. It allowed

0:15:22.120 --> 0:15:23.960
<v Speaker 9>me to distract William.

0:15:24.400 --> 0:15:26.600
<v Speaker 5>There are many on social media who are sort of

0:15:26.600 --> 0:15:28.880
<v Speaker 5>bemoaning that you didn't use twelve point five point one.

0:15:29.080 --> 0:15:31.920
<v Speaker 5>There are many that acknowledge twelve point five also has

0:15:32.600 --> 0:15:36.200
<v Speaker 5>yielded some quite worrying scenarios for those that have tested it.

0:15:36.520 --> 0:15:38.440
<v Speaker 5>I want to get to the big picture, which is

0:15:38.480 --> 0:15:41.000
<v Speaker 5>that Mosk said on both first quarter and second quarter,

0:15:41.000 --> 0:15:43.880
<v Speaker 5>and it is cool to judge whether Tesla can in

0:15:43.880 --> 0:15:45.200
<v Speaker 5>the future soul for autonomy.

0:15:45.440 --> 0:15:47.360
<v Speaker 4>Go out and use FSD for yourself.

0:15:47.520 --> 0:15:50.480
<v Speaker 5>The conclusion that I read in your research note is

0:15:50.560 --> 0:15:53.320
<v Speaker 5>you don't see the jump right from a consumer that's

0:15:53.400 --> 0:15:56.080
<v Speaker 5>using FSD and there will be more iterations of it

0:15:56.160 --> 0:15:59.320
<v Speaker 5>in their car to a world where Tesla operates a

0:15:59.320 --> 0:16:00.880
<v Speaker 5>fleet of robot taxes itself.

0:16:00.920 --> 0:16:01.760
<v Speaker 4>Do I have that right?

0:16:03.480 --> 0:16:07.880
<v Speaker 12>I think it's a very challenging thing to know with certainty.

0:16:08.000 --> 0:16:12.800
<v Speaker 12>Right there are certainly improvements from version to version. As

0:16:12.840 --> 0:16:16.640
<v Speaker 12>it stands in version twelve three six, this is totally

0:16:16.680 --> 0:16:20.160
<v Speaker 12>inadequate to solve autonomy, if there is such a thing

0:16:20.200 --> 0:16:24.200
<v Speaker 12>as solving it. Ifull autonomy is not there with twelve

0:16:24.200 --> 0:16:26.600
<v Speaker 12>three six, do I anticipate it could be there with

0:16:26.680 --> 0:16:29.120
<v Speaker 12>twelve five to one or some later version.

0:16:29.120 --> 0:16:30.720
<v Speaker 9>I would say that's a maybe.

0:16:31.680 --> 0:16:34.720
<v Speaker 12>I think for me, the big question is the near

0:16:34.840 --> 0:16:36.200
<v Speaker 12>accident that I experienced.

0:16:36.360 --> 0:16:37.640
<v Speaker 9>What was the failure mode?

0:16:37.680 --> 0:16:40.600
<v Speaker 5>I think that's William, may I jump in here. Please

0:16:40.960 --> 0:16:43.480
<v Speaker 5>let's go through the specifics of that. You were approaching

0:16:43.560 --> 0:16:47.080
<v Speaker 5>intersection at speed, there was a vehicle in front of

0:16:47.120 --> 0:16:49.920
<v Speaker 5>you making a right hand turn, and you write in

0:16:50.000 --> 0:16:53.040
<v Speaker 5>the note it didn't complete that turn. So just explain

0:16:53.120 --> 0:16:56.359
<v Speaker 5>literally what happened and how you or your son reacted.

0:16:57.560 --> 0:17:01.520
<v Speaker 12>Yeah, so it's slightly different from how you'd described. It

0:17:01.560 --> 0:17:06.440
<v Speaker 12>was in a very congested downtown street and a suburb.

0:17:07.119 --> 0:17:11.119
<v Speaker 12>We were lined up stopped at a light light turned green.

0:17:11.160 --> 0:17:13.639
<v Speaker 12>I think I was second in line. The car in

0:17:13.640 --> 0:17:17.439
<v Speaker 12>front of me progressed making a right turn, but it

0:17:17.480 --> 0:17:20.120
<v Speaker 12>didn't quite complete it. So I was the second car

0:17:20.480 --> 0:17:22.320
<v Speaker 12>in the line, and as the car in front of

0:17:22.359 --> 0:17:26.119
<v Speaker 12>me moved off to the right. The tesla just it

0:17:26.480 --> 0:17:30.480
<v Speaker 12>reacted as though it was all clear and just started accelerating,

0:17:31.160 --> 0:17:34.399
<v Speaker 12>and so the failure mode would have been, you know,

0:17:34.400 --> 0:17:36.840
<v Speaker 12>we would have hit the back right corner of the

0:17:36.880 --> 0:17:42.280
<v Speaker 12>car in front of us, and I had to you know, idea, William, we're.

0:17:42.080 --> 0:17:42.520
<v Speaker 4>Out of time.

0:17:42.560 --> 0:17:45.000
<v Speaker 5>William Stein a Trice Securities, I appreciate you coming on

0:17:45.040 --> 0:17:45.400
<v Speaker 5>the show.

0:17:46.920 --> 0:17:47.760
<v Speaker 4>He shares a.

0:17:47.760 --> 0:17:50.880
<v Speaker 5>Crowd Strike down around nine percent right now after reports

0:17:50.920 --> 0:17:54.800
<v Speaker 5>that Delta hired a prominent attorney following that technology outage

0:17:54.880 --> 0:17:57.520
<v Speaker 5>that led to carrier to cancel thousands of flights. Those

0:17:57.560 --> 0:18:01.560
<v Speaker 5>reports noting that the airline may seek compensation from both

0:18:01.600 --> 0:18:05.320
<v Speaker 5>CrowdStrike and Microsoft. Another catalyst, ever Core, added the company

0:18:05.520 --> 0:18:08.640
<v Speaker 5>to its tactical underperform list, the firm cutting the price

0:18:08.720 --> 0:18:11.160
<v Speaker 5>target from three hundred and fifty dollars to three twenty

0:18:11.200 --> 0:18:14.080
<v Speaker 5>five while maintaining its outperform rating.

0:18:14.160 --> 0:18:16.080
<v Speaker 4>Let's bring in Shlomakram, a CATO.

0:18:15.840 --> 0:18:19.560
<v Speaker 5>Network CEO, a leader of secure access service EDGE in

0:18:19.600 --> 0:18:22.240
<v Speaker 5>the field of IT security, and my goodness, the last

0:18:22.240 --> 0:18:24.960
<v Speaker 5>ten days with somebody of your experience and reputation in

0:18:25.000 --> 0:18:26.840
<v Speaker 5>the industry must have been interesting.

0:18:27.240 --> 0:18:29.440
<v Speaker 4>What happened well.

0:18:29.240 --> 0:18:34.040
<v Speaker 13>A mistake happened, and mistakes will happen, But what's really

0:18:34.080 --> 0:18:41.480
<v Speaker 13>important was that that mistake caused tremendous a disruption. And

0:18:41.640 --> 0:18:44.880
<v Speaker 13>I think what's really important is what is the.

0:18:44.920 --> 0:18:46.639
<v Speaker 2>Learning from that, Missie?

0:18:46.680 --> 0:18:47.320
<v Speaker 4>What is the learning?

0:18:47.520 --> 0:18:50.160
<v Speaker 13>And the learning is that we live in a very

0:18:50.440 --> 0:18:55.520
<v Speaker 13>vulnerable world where everything is digital. And imagine if this

0:18:55.720 --> 0:18:57.920
<v Speaker 13>was not a mistake but an attack.

0:18:58.520 --> 0:19:00.680
<v Speaker 4>I wrote about this, I call them right.

0:19:01.000 --> 0:19:03.639
<v Speaker 5>Let me ask you this real quick though, that in

0:19:03.680 --> 0:19:07.280
<v Speaker 5>the crowd strike example, Microsoft and crowdstrikes, what's about how

0:19:07.320 --> 0:19:10.520
<v Speaker 5>only one percent of Windows PCs were impacted, but it's

0:19:10.560 --> 0:19:13.119
<v Speaker 5>those PCs that were mission critical, right, think about the

0:19:13.119 --> 0:19:16.359
<v Speaker 5>cost of securing them? Is that just part of doing

0:19:16.400 --> 0:19:19.120
<v Speaker 5>business in this day and age. It's something like this happening.

0:19:19.359 --> 0:19:20.720
<v Speaker 2>Well, mistakes will happen.

0:19:20.840 --> 0:19:25.720
<v Speaker 13>You know, aws head an outage, GESPAN an outage, everybody

0:19:25.760 --> 0:19:30.920
<v Speaker 13>has an outage. But you have to take the economics

0:19:30.960 --> 0:19:34.200
<v Speaker 13>of that outage and learn from it. And the learning

0:19:34.359 --> 0:19:37.560
<v Speaker 13>is that everything needs to be gradual. You can't deploy

0:19:38.160 --> 0:19:42.199
<v Speaker 13>anything to all the computers in the world at the

0:19:42.200 --> 0:19:44.800
<v Speaker 13>same time. You need to be very gradual in doing that.

0:19:44.800 --> 0:19:49.560
<v Speaker 13>That's a cloud service learning. And the second learning is

0:19:49.600 --> 0:19:54.400
<v Speaker 13>that we really need to make security pervasive because the

0:19:54.440 --> 0:19:56.360
<v Speaker 13>next time it's not going to be a mistake, it's

0:19:56.359 --> 0:19:57.240
<v Speaker 13>going to be an attack.

0:19:58.760 --> 0:19:59.680
<v Speaker 4>And correct me if I'm wrong.

0:19:59.840 --> 0:20:02.840
<v Speaker 5>You built CATO because you basically looked at the big

0:20:02.840 --> 0:20:05.200
<v Speaker 5>guys out there, the names you and I have talked

0:20:05.240 --> 0:20:06.760
<v Speaker 5>about the fresh for, and you thought I can do

0:20:06.800 --> 0:20:10.520
<v Speaker 5>this better. Indifferently, your phone must have run a few times.

0:20:11.119 --> 0:20:13.400
<v Speaker 2>Well, I want to correct it.

0:20:13.960 --> 0:20:16.760
<v Speaker 13>I thought I can do it in a way that

0:20:16.920 --> 0:20:23.960
<v Speaker 13>simplifies security and AWS and digital transform it security and

0:20:24.080 --> 0:20:30.959
<v Speaker 13>make it more affordable and accessible to all types of organization,

0:20:31.240 --> 0:20:36.160
<v Speaker 13>which means that security is pervasive in cases of such

0:20:36.280 --> 0:20:37.600
<v Speaker 13>mistakes and thet texts.

0:20:37.840 --> 0:20:41.879
<v Speaker 5>You are very experienced, well known, and have invested a

0:20:41.880 --> 0:20:45.359
<v Speaker 5>lot in this sector. How do you assess how CrowdStrike

0:20:45.440 --> 0:20:47.680
<v Speaker 5>handled the fallout and responded.

0:20:48.080 --> 0:20:53.119
<v Speaker 13>I think they, George and his team responded really well

0:20:54.040 --> 0:20:58.280
<v Speaker 13>to this mistake, and I really commend them for.

0:20:58.240 --> 0:21:01.439
<v Speaker 5>That philosophically and very quickly. To we change how we

0:21:01.480 --> 0:21:05.040
<v Speaker 5>approach security now at the corporate or enterprise layer.

0:21:05.240 --> 0:21:08.840
<v Speaker 13>I think we need to operationalize security. I need we

0:21:08.920 --> 0:21:13.160
<v Speaker 13>need to make security available to any types of enterprise.

0:21:13.520 --> 0:21:17.359
<v Speaker 13>We need to digitively transform security and make it simple.

0:21:18.560 --> 0:21:22.320
<v Speaker 5>Schlimo Kramer, co founder and Ceoka Too Networks, really appreciate you.

0:21:22.400 --> 0:21:23.240
<v Speaker 2>Thank you very much.

0:21:23.200 --> 0:21:25.439
<v Speaker 5>Joining me here in New York City, but also drawing

0:21:25.440 --> 0:21:36.040
<v Speaker 5>on your your wealth of experience in this domain. Welcome

0:21:36.040 --> 0:21:38.760
<v Speaker 5>back to Bloomberg Technology, Ed Ludlow in New York City,

0:21:38.760 --> 0:21:41.240
<v Speaker 5>And overnight there was some news, so to speak about

0:21:41.240 --> 0:21:45.320
<v Speaker 5>two names that are a business relationship to names that

0:21:45.359 --> 0:21:48.200
<v Speaker 5>are well known in this industry, in Nvidia CEO Jensen

0:21:48.280 --> 0:21:50.080
<v Speaker 5>Huang and Meta CEO Mark Zuckerberg.

0:21:50.119 --> 0:21:51.840
<v Speaker 4>Just real quick mes as flat as a pancake.

0:21:52.080 --> 0:21:54.639
<v Speaker 5>It is in Nvidia that's been the main mover in

0:21:54.680 --> 0:21:57.560
<v Speaker 5>the last thirty minutes or so. Not entirely clear what

0:21:57.600 --> 0:22:01.000
<v Speaker 5>the catalyst is either way. Last night they both sat

0:22:01.040 --> 0:22:04.320
<v Speaker 5>down at the Sidegraph Computer Graphics conference to discuss the

0:22:04.320 --> 0:22:08.000
<v Speaker 5>future of generative AI and how open source will help

0:22:08.040 --> 0:22:12.359
<v Speaker 5>AI developers and creators. Here is Meta CEO Mark Zuckerberg.

0:22:13.240 --> 0:22:15.479
<v Speaker 14>There is a lot of new stuff to build, and

0:22:16.200 --> 0:22:19.560
<v Speaker 14>I think even if the progress on the foundation models

0:22:19.640 --> 0:22:21.879
<v Speaker 14>kind of stopped now, which I don't think it will,

0:22:22.280 --> 0:22:25.680
<v Speaker 14>I think we'd have like five years of product innovation

0:22:26.240 --> 0:22:29.040
<v Speaker 14>for the industry to basically figure out how to most

0:22:29.359 --> 0:22:31.880
<v Speaker 14>effectively use all the stuff that's gotten built so far.

0:22:32.320 --> 0:22:34.960
<v Speaker 14>But I actually just think the kind of foundation models

0:22:34.960 --> 0:22:38.480
<v Speaker 14>and the progress on the fundamental research is accelerating so

0:22:38.640 --> 0:22:40.640
<v Speaker 14>that it's a pretty wild time.

0:22:42.160 --> 0:22:45.240
<v Speaker 5>His breakdown what was said at the conference is Bloomberg's

0:22:45.440 --> 0:22:48.960
<v Speaker 5>Ian King actually for Jensen I and this was the

0:22:49.000 --> 0:22:51.920
<v Speaker 5>second appearance of the day, and he actually started by

0:22:51.960 --> 0:22:56.320
<v Speaker 5>talking about NIMS. We have a new acronym in the

0:22:56.359 --> 0:22:59.399
<v Speaker 5>world of AI and high performance GPUs. But basically in

0:22:59.480 --> 0:23:01.720
<v Speaker 5>videos trying to say to us all the rest of

0:23:01.760 --> 0:23:03.399
<v Speaker 5>you that aren't a hyperscaler, don't worry.

0:23:03.440 --> 0:23:03.879
<v Speaker 4>We got you.

0:23:05.200 --> 0:23:06.680
<v Speaker 2>Yeah, now that's exactly I mean.

0:23:06.680 --> 0:23:09.000
<v Speaker 15>This is something that they've previously announced and now it's

0:23:09.040 --> 0:23:12.560
<v Speaker 15>actually coming to market. These are micro services is what

0:23:12.560 --> 0:23:15.840
<v Speaker 15>they call them. Basically software that says, hey, you just

0:23:16.080 --> 0:23:17.880
<v Speaker 15>tell us what you want to do in your business

0:23:17.920 --> 0:23:20.119
<v Speaker 15>and we'll sort everything else out. We'll provide you with

0:23:20.160 --> 0:23:22.240
<v Speaker 15>the model and then all of the links to the

0:23:22.240 --> 0:23:24.560
<v Speaker 15>hardware and the other pieces of software and data that

0:23:24.600 --> 0:23:26.919
<v Speaker 15>you need. And this is a big push for the

0:23:26.960 --> 0:23:29.600
<v Speaker 15>company because right now they've got sort of four or

0:23:29.640 --> 0:23:33.320
<v Speaker 15>five big customers and great customers, but really they want

0:23:33.320 --> 0:23:36.080
<v Speaker 15>this to be out there in the economy, to be pervasive,

0:23:36.119 --> 0:23:37.679
<v Speaker 15>and that's what they're trying to facilitate.

0:23:38.280 --> 0:23:40.080
<v Speaker 4>In video is down pretty sharply.

0:23:40.240 --> 0:23:43.360
<v Speaker 5>I don't see any kind of clear catalyst other than

0:23:43.400 --> 0:23:45.760
<v Speaker 5>the mechanics of the market trying to work things out.

0:23:46.400 --> 0:23:50.400
<v Speaker 5>The conversation between Jensen Huang and Mark Zuckerberg highlighted one thing,

0:23:50.480 --> 0:23:53.600
<v Speaker 5>which is Meta is a critically important.

0:23:53.040 --> 0:23:53.920
<v Speaker 4>Customer for them.

0:23:54.359 --> 0:23:56.920
<v Speaker 5>Could you just explain to our audience what Meta does

0:23:56.960 --> 0:24:00.560
<v Speaker 5>within video's technology and a sense of how important a

0:24:00.600 --> 0:24:01.360
<v Speaker 5>customer they are.

0:24:02.359 --> 0:24:05.280
<v Speaker 15>Yeah, I mean they're one of the biggest spenders on

0:24:05.359 --> 0:24:07.399
<v Speaker 15>in videos, GPUs.

0:24:06.800 --> 0:24:07.840
<v Speaker 2>And other systems.

0:24:07.880 --> 0:24:11.919
<v Speaker 15>Basically, they are putting these massive supercomputers in place to

0:24:12.119 --> 0:24:16.040
<v Speaker 15>do training of AI models that they then use for

0:24:16.119 --> 0:24:19.280
<v Speaker 15>the services that they offer through the phase through Facebook

0:24:19.320 --> 0:24:22.200
<v Speaker 15>and their other platforms. And you know, Luckenberg was talking

0:24:22.200 --> 0:24:25.960
<v Speaker 15>about that yesterday. He was somewhat begrudgingly acknowledging just how

0:24:26.000 --> 0:24:29.119
<v Speaker 15>many hundreds of thousands of the GPUs he's bought off.

0:24:29.200 --> 0:24:31.840
<v Speaker 5>Jenson, I just add one thing to what Ian said,

0:24:31.840 --> 0:24:34.600
<v Speaker 5>which is that's why we're watching Microsoft and watching others

0:24:34.600 --> 0:24:38.480
<v Speaker 5>in the earnings context, because the infrastructure commitments probably will

0:24:38.480 --> 0:24:40.520
<v Speaker 5>have an impact on Nvidio down the line, and then

0:24:40.560 --> 0:24:42.720
<v Speaker 5>Ian will come back on the show. Bloomberg Z and King,

0:24:42.840 --> 0:24:45.120
<v Speaker 5>thank you very much. Sticking in the world of AI,

0:24:45.240 --> 0:24:48.760
<v Speaker 5>Credo Ai recently completed a funding round of twenty one

0:24:48.760 --> 0:24:51.719
<v Speaker 5>million dollars, but it doubled their valuation to about one

0:24:51.800 --> 0:24:55.320
<v Speaker 5>hundred and one million dollars. That's in Bloomberg exclusive reporting.

0:24:55.600 --> 0:24:59.359
<v Speaker 5>The company focuses on AI government governance, an area of

0:24:59.400 --> 0:25:03.720
<v Speaker 5>particular significance during a time where deep fakes are increasingly

0:25:03.760 --> 0:25:06.760
<v Speaker 5>interfering with election cycles. I'm delighted to bring in and

0:25:06.800 --> 0:25:11.160
<v Speaker 5>welcome back Navna Singh, who's the founder and CEO of Credoai.

0:25:11.800 --> 0:25:13.240
<v Speaker 4>I'll start on the funding round.

0:25:13.400 --> 0:25:16.720
<v Speaker 5>I we bring you to Bloomberg Technology because the world

0:25:16.720 --> 0:25:19.760
<v Speaker 5>of AI is basically on a collision course with society

0:25:19.960 --> 0:25:22.199
<v Speaker 5>and the world of politics. That's what we often talk about.

0:25:22.280 --> 0:25:24.840
<v Speaker 5>But let's just focus on credo for a minute. Why

0:25:24.880 --> 0:25:26.480
<v Speaker 5>did you raise the funds and what are you going

0:25:26.560 --> 0:25:27.000
<v Speaker 5>to do with it?

0:25:28.280 --> 0:25:29.960
<v Speaker 8>Well, thank you so much for having me ed.

0:25:30.440 --> 0:25:33.520
<v Speaker 1>Certainly a very exciting day for credoaif you've just raised

0:25:33.520 --> 0:25:37.160
<v Speaker 1>twenty one million dollars in new capital and this capital

0:25:37.240 --> 0:25:40.480
<v Speaker 1>round is really focused on making sure that the AI

0:25:40.640 --> 0:25:45.600
<v Speaker 1>oversight and accountability is pervasive. As Zuckerberg just pointed out,

0:25:45.640 --> 0:25:48.240
<v Speaker 1>we are living through really wild times and AI innovation,

0:25:48.640 --> 0:25:51.280
<v Speaker 1>but it can get really wild if the risk of

0:25:51.320 --> 0:25:56.000
<v Speaker 1>these technology is not really assessed and managed proactively. This

0:25:56.040 --> 0:25:58.880
<v Speaker 1>is where from our founding in twenty twenty, we've been

0:25:58.920 --> 0:26:02.760
<v Speaker 1>heads down focused on bringing AI governance to forefront. You know,

0:26:02.840 --> 0:26:06.880
<v Speaker 1>my belief has always been governance really unlocks the understanding

0:26:06.920 --> 0:26:10.120
<v Speaker 1>of this very complex technology, which, as you can imagine,

0:26:10.200 --> 0:26:14.280
<v Speaker 1>is just getting more and more complex with the coming

0:26:14.359 --> 0:26:18.280
<v Speaker 1>of the foundation models and frontier capabilities. So with this

0:26:18.400 --> 0:26:21.320
<v Speaker 1>round of funding, we are doubling down on making sure

0:26:21.960 --> 0:26:26.320
<v Speaker 1>that one understanding risk of these new frontier models is

0:26:26.359 --> 0:26:30.159
<v Speaker 1>at the hands of these enterprises. Secondly, making sure that

0:26:30.240 --> 0:26:34.200
<v Speaker 1>these organizations are well equipped for all the regulatory changes

0:26:34.240 --> 0:26:37.440
<v Speaker 1>that are happening globally, and lastly to adopt generative AI

0:26:37.480 --> 0:26:39.000
<v Speaker 1>with confidence at scale.

0:26:39.440 --> 0:26:44.920
<v Speaker 5>Mavrina, you are a vocal You have official positions in

0:26:45.000 --> 0:26:47.919
<v Speaker 5>government appointed panels in the domain of AI and some

0:26:47.960 --> 0:26:52.000
<v Speaker 5>of the safeguards around its use in society. I just

0:26:52.040 --> 0:26:54.560
<v Speaker 5>wonder if this this funding gives you the ability to

0:26:54.600 --> 0:26:57.119
<v Speaker 5>have a sort of louder voice in the things that

0:26:57.160 --> 0:26:58.200
<v Speaker 5>you think are important.

0:27:00.000 --> 0:27:00.560
<v Speaker 4>Absolutely.

0:27:00.840 --> 0:27:03.639
<v Speaker 1>You know, governance is many a time seen as a

0:27:03.680 --> 0:27:06.479
<v Speaker 1>barrier to innovation, and you and I've spoken about it

0:27:06.560 --> 0:27:08.840
<v Speaker 1>multiple times that governance actually is going to be an

0:27:09.040 --> 0:27:13.560
<v Speaker 1>enabler and a competitive advantage for every organization, whether you're

0:27:13.600 --> 0:27:16.480
<v Speaker 1>a Meta or a Microsoft, to really make sure that

0:27:16.560 --> 0:27:20.040
<v Speaker 1>you can bring the frontier EI capabilities with confidence in

0:27:20.080 --> 0:27:22.520
<v Speaker 1>the market. And I think with this round of funding,

0:27:22.880 --> 0:27:26.359
<v Speaker 1>what it is providing us is an ability to continue

0:27:26.400 --> 0:27:30.280
<v Speaker 1>delivering to our customers who are becoming responsible by design

0:27:30.680 --> 0:27:33.520
<v Speaker 1>and not waiting for failures to happen. In this world

0:27:33.560 --> 0:27:37.280
<v Speaker 1>where AI is transforming pretty much every use case, every

0:27:37.320 --> 0:27:38.880
<v Speaker 1>business at scale.

0:27:39.480 --> 0:27:43.080
<v Speaker 5>I think we should probably talk about the presidential election cycle.

0:27:44.760 --> 0:27:47.159
<v Speaker 5>A lot was made particularly from small tech, so to

0:27:47.200 --> 0:27:50.440
<v Speaker 5>speak about JD Vance in particular being a running mate

0:27:50.480 --> 0:27:56.399
<v Speaker 5>who supports entrepreneurship and in technological advancement. Does CREEDOT have

0:27:56.440 --> 0:28:00.240
<v Speaker 5>a position on what will happen with AI safey, God

0:28:00.320 --> 0:28:03.720
<v Speaker 5>rails and safety depending on the outcome of that race.

0:28:05.520 --> 0:28:08.240
<v Speaker 1>You know, ed we are living through a very important time,

0:28:08.359 --> 0:28:10.600
<v Speaker 1>especially with the upcoming election, and I don't want to

0:28:10.960 --> 0:28:13.439
<v Speaker 1>speculate what the outcome of that election is going to be.

0:28:13.880 --> 0:28:15.560
<v Speaker 1>But I think the key thing I want to bring

0:28:15.600 --> 0:28:19.320
<v Speaker 1>our focus back to is that irrespective of the outcome

0:28:19.440 --> 0:28:24.359
<v Speaker 1>of the election, governance of this transformational technology, artificial intelligence,

0:28:24.440 --> 0:28:27.040
<v Speaker 1>is going to be paramount. You know, we are seeing

0:28:27.560 --> 0:28:31.199
<v Speaker 1>at scale that the traditional GRC, the governance, risk and

0:28:31.240 --> 0:28:34.800
<v Speaker 1>compliance tooling that exists in the market does not serve

0:28:34.840 --> 0:28:38.400
<v Speaker 1>the needs of this very complex and emerging technology. And

0:28:38.440 --> 0:28:40.320
<v Speaker 1>this is where you know, not only did we coin

0:28:40.400 --> 0:28:43.240
<v Speaker 1>the term AI governance, but bringing in tools that can

0:28:43.320 --> 0:28:47.560
<v Speaker 1>keep up with this very increased sense of capabilities that

0:28:47.600 --> 0:28:50.840
<v Speaker 1>AI is presenting and also the increased risk it's presenting.

0:28:51.200 --> 0:28:53.720
<v Speaker 1>So irrespective of the election outcome, what is going to

0:28:53.760 --> 0:28:57.760
<v Speaker 1>be critical is enterprises put governance front and center as

0:28:57.800 --> 0:28:59.360
<v Speaker 1>they adopt this technology.

0:29:00.080 --> 0:29:02.680
<v Speaker 5>We've heard a lot from Mark Zuckerberg about open source.

0:29:02.720 --> 0:29:04.720
<v Speaker 5>We heard from him again it's cygraph. Just listen to

0:29:04.760 --> 0:29:05.920
<v Speaker 5>what he had to say on the topic.

0:29:06.720 --> 0:29:08.120
<v Speaker 14>I don't think that there's just gonna be like one

0:29:08.160 --> 0:29:09.880
<v Speaker 14>AI model, right, I mean, this is something that some

0:29:09.920 --> 0:29:12.240
<v Speaker 14>of the other companies in the industry, they're like, you know,

0:29:12.280 --> 0:29:15.960
<v Speaker 14>it's like they're building like one central agent and and yeah,

0:29:16.040 --> 0:29:18.200
<v Speaker 14>we'll have the MEDAI assistant that you can use. But

0:29:18.240 --> 0:29:20.800
<v Speaker 14>a lot of our vision is that we want to

0:29:20.840 --> 0:29:23.840
<v Speaker 14>empower all the people who use our products to basically

0:29:23.880 --> 0:29:25.400
<v Speaker 14>create agents for themselves.

0:29:25.400 --> 0:29:27.640
<v Speaker 4>So whether that's you know all the many.

0:29:27.440 --> 0:29:30.160
<v Speaker 14>Many millions of creators that are on the platform, or

0:29:30.480 --> 0:29:32.600
<v Speaker 14>you know, hundreds of millions of small businesses.

0:29:34.000 --> 0:29:36.320
<v Speaker 5>Your reaction to that Avrena in the idea that he's

0:29:36.360 --> 0:29:38.280
<v Speaker 5>he's a world where people go out and create their

0:29:38.280 --> 0:29:40.200
<v Speaker 5>own AI agents.

0:29:40.360 --> 0:29:43.280
<v Speaker 1>You know, absolutely true. I think we are already reaching

0:29:43.320 --> 0:29:45.680
<v Speaker 1>a stage where the reliance on a single model is

0:29:45.680 --> 0:29:49.600
<v Speaker 1>not going to happen. We at CRETOAI ourselves are now

0:29:49.640 --> 0:29:52.480
<v Speaker 1>switching from open AI to open source models because the

0:29:52.560 --> 0:29:55.960
<v Speaker 1>innovation in that space has been accelerating. So what we

0:29:56.000 --> 0:29:58.840
<v Speaker 1>are going to see ed is our need for a

0:29:58.880 --> 0:30:01.560
<v Speaker 1>single pain of governance. This is where Credo AI comes in.

0:30:01.920 --> 0:30:05.920
<v Speaker 1>That can actually not only you know, connect with different

0:30:06.040 --> 0:30:08.920
<v Speaker 1>AI toolings, but also be able to adapt.

0:30:08.520 --> 0:30:10.560
<v Speaker 4>To these new plethro.

0:30:10.280 --> 0:30:12.800
<v Speaker 1>FAI models and agents that are showing up in the market.

0:30:13.000 --> 0:30:16.560
<v Speaker 1>But the consistent pain of governance, which provides oversight and accountability,

0:30:16.600 --> 0:30:17.400
<v Speaker 1>is going to be critical.

0:30:17.720 --> 0:30:20.240
<v Speaker 5>Every innessing founder and CEO of Credo AI, Thank you

0:30:20.320 --> 0:30:20.720
<v Speaker 5>very much.

0:30:28.720 --> 0:30:31.200
<v Speaker 16>I had a fantastic experience with jd I worked with

0:30:31.320 --> 0:30:33.600
<v Speaker 16>him for about a year when he was just starting

0:30:33.600 --> 0:30:34.600
<v Speaker 16>out in Silicon Valley.

0:30:34.640 --> 0:30:41.080
<v Speaker 17>When it comes to deregulation, tax policy, AI, cryptocurrency, there is,

0:30:41.120 --> 0:30:43.200
<v Speaker 17>you know, some degree of consonants between what a jd

0:30:43.360 --> 0:30:45.080
<v Speaker 17>Vance wants and what much of the tech industry wants.

0:30:45.200 --> 0:30:47.240
<v Speaker 9>Jd Vance in the business side doesn't make me confident

0:30:47.280 --> 0:30:47.520
<v Speaker 9>at all.

0:30:47.560 --> 0:30:51.600
<v Speaker 17>But when it comes to Section two thirty, privacy, even competition,

0:30:51.680 --> 0:30:54.400
<v Speaker 17>to some degree, they're going to be at odds.

0:30:54.440 --> 0:30:56.240
<v Speaker 16>He's going to be good at for Silicon Valley, he's

0:30:56.240 --> 0:30:58.360
<v Speaker 16>going to be good for the country because he is

0:30:58.480 --> 0:31:01.960
<v Speaker 16>pro growth, he is pro innovation, and he's also pro

0:31:02.240 --> 0:31:06.080
<v Speaker 16>eliminating those regulations that strangle industry, that strangle growth.

0:31:06.240 --> 0:31:09.560
<v Speaker 3>Having somebody who's been as part of a fund, who's

0:31:09.560 --> 0:31:12.480
<v Speaker 3>seen the way innovation works, back companies, been on a

0:31:12.560 --> 0:31:14.720
<v Speaker 3>board things like that, I think it's kind of a

0:31:14.880 --> 0:31:17.240
<v Speaker 3>unique experience and opportunity that can be helpful.

0:31:19.560 --> 0:31:22.600
<v Speaker 5>Those were some of our recent guests weighing in on

0:31:22.680 --> 0:31:25.760
<v Speaker 5>Donald Trump's VP pick Jade Vance and what that can

0:31:25.840 --> 0:31:29.800
<v Speaker 5>mean for Silicon Valley. If the Republican ticket were elected.

0:31:29.960 --> 0:31:32.760
<v Speaker 5>Now some other vcs have been coming forward more recently

0:31:33.360 --> 0:31:36.760
<v Speaker 5>in support of Democratic candidate Kamala Harris. So as we

0:31:36.840 --> 0:31:40.280
<v Speaker 5>await her decision for a running mate, let's dig into

0:31:40.320 --> 0:31:44.120
<v Speaker 5>it with Katie Jacob Stanton, founder and general partner of

0:31:44.200 --> 0:31:45.200
<v Speaker 5>Moxy Ventures.

0:31:45.240 --> 0:31:47.160
<v Speaker 4>And it's been interesting.

0:31:47.720 --> 0:31:50.840
<v Speaker 5>You will have noticed your peers and colleagues in let's

0:31:50.840 --> 0:31:53.920
<v Speaker 5>call it venture capital but small tech maybe as well.

0:31:54.360 --> 0:31:58.120
<v Speaker 5>That week following the assassination attempt on former President Trump

0:31:58.120 --> 0:32:01.480
<v Speaker 5>and then Jade Vance emerging as the pick X in particular,

0:32:01.680 --> 0:32:04.680
<v Speaker 5>was a place where everyone was quite vocal. Now we're

0:32:04.680 --> 0:32:08.360
<v Speaker 5>hearing more from the Kamala Harris side. Your position, please, Katie.

0:32:08.760 --> 0:32:11.560
<v Speaker 18>Hi, thank you so much for having me. So we

0:32:11.600 --> 0:32:14.320
<v Speaker 18>live in a democracy and everyone has a right to

0:32:14.360 --> 0:32:17.640
<v Speaker 18>their own opinion, and I think our industry, just like

0:32:17.680 --> 0:32:21.080
<v Speaker 18>our country, has a diversity of opinions. And I think

0:32:21.080 --> 0:32:23.080
<v Speaker 18>there are a lot of people like myself who are

0:32:23.160 --> 0:32:27.640
<v Speaker 18>really enthusiastic and excited about what the Kamala Harris campaign

0:32:27.720 --> 0:32:32.000
<v Speaker 18>stands for or hope for optimism, for innovation, and we're

0:32:32.040 --> 0:32:33.479
<v Speaker 18>excited to move the country forward.

0:32:34.440 --> 0:32:37.360
<v Speaker 5>One of the areas of focus with JD Vance particular

0:32:37.440 --> 0:32:41.000
<v Speaker 5>is his experiences of entu capitist, his experience of so

0:32:41.080 --> 0:32:43.840
<v Speaker 5>called Silicon Valley and what that might mean for sort

0:32:43.880 --> 0:32:47.040
<v Speaker 5>of an environment where entrepreneurs want to thrive. Do you

0:32:47.040 --> 0:32:50.280
<v Speaker 5>feel that Kamala Harris has the same attributes that she

0:32:50.400 --> 0:32:53.120
<v Speaker 5>can provide a similar environment if she were to be

0:32:53.160 --> 0:32:53.760
<v Speaker 5>re elected.

0:32:54.880 --> 0:32:58.440
<v Speaker 4>Well, first, she's way better be elected. Yeah, yeah, she's

0:32:58.480 --> 0:32:58.960
<v Speaker 4>way better.

0:32:59.040 --> 0:33:03.040
<v Speaker 18>She's from the Bay Area, she understands technology, she understands innovation.

0:33:03.480 --> 0:33:07.440
<v Speaker 18>She also understands responsibility. So she is somebody that I

0:33:07.480 --> 0:33:10.840
<v Speaker 18>think we're very enthusiastic from the tech industry about what

0:33:10.880 --> 0:33:13.880
<v Speaker 18>she can bring to the future and really excited for

0:33:13.960 --> 0:33:14.600
<v Speaker 18>her campaign.

0:33:15.320 --> 0:33:19.920
<v Speaker 5>Finally, on the election, I was not in America in

0:33:19.960 --> 0:33:23.560
<v Speaker 5>twenty sixteen. I arrived twenty eighteen, But I find the

0:33:23.640 --> 0:33:27.200
<v Speaker 5>venture capital community how vocal they are a bit of

0:33:27.280 --> 0:33:30.320
<v Speaker 5>surprise this time around. Do you see a difference in

0:33:30.360 --> 0:33:34.200
<v Speaker 5>how active your industry is now versus twenty sixteen and

0:33:34.240 --> 0:33:35.000
<v Speaker 5>twenty twenty.

0:33:36.880 --> 0:33:40.160
<v Speaker 18>I think right now we have enormous challenges in front

0:33:40.200 --> 0:33:44.000
<v Speaker 18>of us. We have climate change, we have economic uncertainty,

0:33:44.160 --> 0:33:47.560
<v Speaker 18>we have a lack of access to healthcare affordability and

0:33:47.640 --> 0:33:50.880
<v Speaker 18>housing affordability, and it's important to be able to support

0:33:51.000 --> 0:33:56.040
<v Speaker 18>a number of entrepreneurs and innovators and to help provide

0:33:56.040 --> 0:33:58.960
<v Speaker 18>better solutions that make life and work better. So I

0:33:58.960 --> 0:34:03.640
<v Speaker 18>think they're enormous challenges, enormous opportunities, and again really excited

0:34:03.680 --> 0:34:06.959
<v Speaker 18>about teams that can move us forward and help us

0:34:07.000 --> 0:34:09.440
<v Speaker 18>build services for more people.

0:34:10.080 --> 0:34:13.560
<v Speaker 5>Casey, we welcome you to Bloomberg Technology because Moxie has

0:34:13.640 --> 0:34:16.320
<v Speaker 5>raised ninety five million dollars for a third fund. There's

0:34:16.320 --> 0:34:20.160
<v Speaker 5>some interesting and quite unique factors behind the LPs and

0:34:20.200 --> 0:34:22.440
<v Speaker 5>how you went about the raise. Just just explain the

0:34:22.480 --> 0:34:23.200
<v Speaker 5>basics of that.

0:34:24.480 --> 0:34:26.919
<v Speaker 18>Sure, we're thrilled to be able to announce our third fund,

0:34:26.960 --> 0:34:29.880
<v Speaker 18>which is ninety five million dollars in a really challenging

0:34:30.000 --> 0:34:34.200
<v Speaker 18>funding environment, and we're looking for founders who basically make

0:34:34.280 --> 0:34:37.200
<v Speaker 18>life and work better for millions of people around the world.

0:34:37.800 --> 0:34:41.319
<v Speaker 18>And most of our founders are technical, fifty percent of

0:34:41.360 --> 0:34:45.040
<v Speaker 18>them are immigrants, a third are women, and we're really

0:34:45.080 --> 0:34:47.839
<v Speaker 18>excited to have a diverse group of founders. We're also

0:34:47.920 --> 0:34:50.600
<v Speaker 18>really proud of the investors that have backed us. We

0:34:50.640 --> 0:34:55.680
<v Speaker 18>have a number of world class mission driven investors, from

0:34:55.840 --> 0:35:00.600
<v Speaker 18>GEM to the Nature Conservancy to Children's Health and Foundry,

0:35:00.640 --> 0:35:02.719
<v Speaker 18>and we're really delighted and honored to be able to

0:35:02.760 --> 0:35:03.800
<v Speaker 18>work with them going forward.

0:35:03.960 --> 0:35:06.520
<v Speaker 5>Case I just mentioned quickly you were within the Obamba

0:35:06.560 --> 0:35:09.799
<v Speaker 5>administration at one point, but in Tech, Twitter, Google, you're

0:35:09.800 --> 0:35:12.920
<v Speaker 5>on the board of Yahoo, Vivendi. How's that sort of

0:35:12.960 --> 0:35:16.319
<v Speaker 5>CB going to influence your your investments and where you

0:35:16.360 --> 0:35:16.960
<v Speaker 5>write checks.

0:35:18.200 --> 0:35:19.360
<v Speaker 8>I think it's really helpful.

0:35:19.400 --> 0:35:22.440
<v Speaker 18>So I invest in seed stage companies, but I'm on

0:35:22.480 --> 0:35:24.640
<v Speaker 18>the board of a company, the Vendi, which was started

0:35:24.640 --> 0:35:27.840
<v Speaker 18>by Napoleon, So that's a really wide range, and I

0:35:27.880 --> 0:35:31.000
<v Speaker 18>think it's important to be able to cross pollinate our network,

0:35:31.040 --> 0:35:36.880
<v Speaker 18>our experiences, and to enable ourselves and our team at

0:35:36.920 --> 0:35:39.640
<v Speaker 18>Moxie to be able to help support our founders, helping

0:35:39.640 --> 0:35:42.000
<v Speaker 18>them grow, helping them build, helping them hire.

0:35:42.880 --> 0:35:46.240
<v Speaker 5>Katie Jacob Stanton, founder and general partner of Moxie Ventures,

0:35:46.360 --> 0:35:56.280
<v Speaker 5>thank you once again going viral.

0:35:56.360 --> 0:35:57.040
<v Speaker 4>The Olympics.

0:35:57.120 --> 0:36:01.560
<v Speaker 5>Paris Olympic Games organizers postpone them men triathlon to Wednesday

0:36:01.600 --> 0:36:06.000
<v Speaker 5>morning due to insufficient water quality levels in the Sene River.

0:36:06.400 --> 0:36:08.719
<v Speaker 5>The delay to one of the game's flagship events came

0:36:08.760 --> 0:36:12.440
<v Speaker 5>when athletes were already at breakfast, leading to some anger

0:36:12.760 --> 0:36:15.960
<v Speaker 5>and disappointment. Meanwhile, the US is leading the field in

0:36:16.120 --> 0:36:19.480
<v Speaker 5>total medal count, recently picking up the gold in fencing

0:36:19.800 --> 0:36:23.680
<v Speaker 5>and swimming. However, Japan and China are leading the gold

0:36:23.719 --> 0:36:28.080
<v Speaker 5>medal count at six, just ahead of France, Australia and

0:36:28.120 --> 0:36:30.680
<v Speaker 5>South Korea. Everyone is talking about it on the social

0:36:30.760 --> 0:36:33.239
<v Speaker 5>So let's get back to the other big story of

0:36:33.280 --> 0:36:35.600
<v Speaker 5>the day, which is earnings. Out after the bell, you

0:36:35.600 --> 0:36:39.520
<v Speaker 5>have AMD, you have Microsoft reporting. Mandy Saying of Bloomberg

0:36:39.560 --> 0:36:41.960
<v Speaker 5>Intelligence joins me on set. I want to first just

0:36:42.000 --> 0:36:44.399
<v Speaker 5>think about Nvidia in the context of what's to come.

0:36:44.520 --> 0:36:48.120
<v Speaker 5>The stock is down significantly with no news headline. Although

0:36:48.200 --> 0:36:50.920
<v Speaker 5>if you read the markets and listen to the markets,

0:36:51.360 --> 0:36:55.040
<v Speaker 5>I think there's a growing skepticism that either the infrastructure

0:36:55.080 --> 0:36:57.360
<v Speaker 5>spend is going to pay off in top line growth

0:36:57.760 --> 0:37:00.279
<v Speaker 5>or that the infrastructure spend is going to remain what's

0:37:00.320 --> 0:37:02.160
<v Speaker 5>the b I take, Well, so I.

0:37:02.160 --> 0:37:03.000
<v Speaker 4>Look at it this week.

0:37:03.040 --> 0:37:06.200
<v Speaker 19>Google last week told us that they're raising their capex.

0:37:06.320 --> 0:37:11.200
<v Speaker 19>We expect something similar from Microsoft tonight. Meta also this week,

0:37:11.520 --> 0:37:15.360
<v Speaker 19>So that's all good news for video. I'm actually surprised

0:37:15.400 --> 0:37:18.480
<v Speaker 19>by the market reaction given you know, hyperscalers still make

0:37:18.600 --> 0:37:21.560
<v Speaker 19>up almost fifty percent of in Video's data center revenue.

0:37:21.960 --> 0:37:24.480
<v Speaker 19>Why is this start going down. Given whatever we have

0:37:24.560 --> 0:37:27.040
<v Speaker 19>heard so far has been incrementally positive.

0:37:27.120 --> 0:37:30.279
<v Speaker 5>That shot maybe I was talking in a few blocks ago.

0:37:30.400 --> 0:37:31.880
<v Speaker 5>This is still a stock. This up one hundred and

0:37:31.880 --> 0:37:33.120
<v Speaker 5>ten percent year today, and so.

0:37:33.120 --> 0:37:36.359
<v Speaker 19>That's where the valuations come into play. You know, there's

0:37:36.440 --> 0:37:39.040
<v Speaker 19>a lot of good news that's prized in, and you

0:37:39.080 --> 0:37:42.200
<v Speaker 19>know there could be some negatives in terms of the

0:37:42.360 --> 0:37:45.439
<v Speaker 19>ROI as you alluded to. You know, companies probably aren't

0:37:45.480 --> 0:37:48.719
<v Speaker 19>able to monetize the GPUs as fast as they would like.

0:37:49.040 --> 0:37:52.560
<v Speaker 5>The Bloomberg technology audience is global and diverse. Not everyone

0:37:52.600 --> 0:37:56.279
<v Speaker 5>is an institutional investor, not even retail investor. And way

0:37:56.280 --> 0:37:58.240
<v Speaker 5>we've been talking about it is like the money machine. Okay,

0:37:58.280 --> 0:38:01.240
<v Speaker 5>so you have capital spending going in and what everyone's

0:38:01.239 --> 0:38:03.479
<v Speaker 5>trying to understand is how many dollars are coming out

0:38:03.760 --> 0:38:06.960
<v Speaker 5>in terms of top line growth. So you gave Alphabet

0:38:07.000 --> 0:38:09.160
<v Speaker 5>as the example last week. I think what Ruthparat said

0:38:09.160 --> 0:38:11.320
<v Speaker 5>on the call was year to date, we've made billions

0:38:11.320 --> 0:38:16.719
<v Speaker 5>of dollars in AI infrastructure and generatord AI. Essentially, it

0:38:16.760 --> 0:38:18.600
<v Speaker 5>doesn't seem very tangible, do.

0:38:18.800 --> 0:38:19.279
<v Speaker 2>You know what I mean?

0:38:19.400 --> 0:38:21.919
<v Speaker 19>You know what I to me and Vidia is more

0:38:21.960 --> 0:38:26.520
<v Speaker 19>about the supply demand imbalance. As long as your supply constrained.

0:38:26.520 --> 0:38:30.240
<v Speaker 19>When it comes to GPUs and the demand exceeds supply,

0:38:30.680 --> 0:38:33.279
<v Speaker 19>I think it's positive for Nvidia. Once we get to

0:38:33.320 --> 0:38:36.360
<v Speaker 19>a point where TSMC can make enough of these chips

0:38:36.440 --> 0:38:40.240
<v Speaker 19>and you've got custom ASICs and companies can train outside

0:38:40.280 --> 0:38:43.200
<v Speaker 19>of Nvidia GPUs, that's when they will have a problem

0:38:43.280 --> 0:38:45.800
<v Speaker 19>sustaining that pricing that we have seen with GPUs.

0:38:45.840 --> 0:38:47.719
<v Speaker 5>Okay, so let's bring up the calendar because it's a

0:38:47.800 --> 0:38:49.480
<v Speaker 5>huge week. It's a good week to be in New

0:38:49.560 --> 0:38:53.200
<v Speaker 5>York City with you. I think Microsoft is a big one.

0:38:53.280 --> 0:38:55.160
<v Speaker 5>You know, what is the BI expectation.

0:38:55.520 --> 0:38:58.000
<v Speaker 19>I mean, the estimates have to go up for this

0:38:58.160 --> 0:39:00.560
<v Speaker 19>doc to sustain this kind of valuation. And when I

0:39:00.560 --> 0:39:04.120
<v Speaker 19>say estimates, last quarter they said geni contribution to Azure

0:39:04.320 --> 0:39:07.600
<v Speaker 19>was seven percentage points. You want to see that number

0:39:07.640 --> 0:39:10.560
<v Speaker 19>go up because even if it's flat, then what it's

0:39:10.640 --> 0:39:14.800
<v Speaker 19>telling you is Jenni actually is not translating into revenue.

0:39:14.840 --> 0:39:18.040
<v Speaker 19>To answer your prior question, and the copilot side of

0:39:18.080 --> 0:39:20.920
<v Speaker 19>it has to boost the office segment. I mean, what

0:39:20.960 --> 0:39:23.480
<v Speaker 19>we saw last quarter was it was low teen's growth.

0:39:23.760 --> 0:39:27.399
<v Speaker 19>You want some meaningful upside to office coming from these

0:39:27.440 --> 0:39:28.360
<v Speaker 19>copilot sales.

0:39:28.400 --> 0:39:30.200
<v Speaker 5>The other one after the bell is AMD and all

0:39:30.239 --> 0:39:32.360
<v Speaker 5>I'll say on that is that Lisa Sue, the CEO,

0:39:32.440 --> 0:39:34.320
<v Speaker 5>is coming on the show tomorrow, so we'll get the

0:39:34.360 --> 0:39:35.920
<v Speaker 5>opportunity to kind of review.

0:39:36.480 --> 0:39:38.200
<v Speaker 4>The rest of the week is also massive.

0:39:38.280 --> 0:39:42.080
<v Speaker 5>Maybe like in aggregate, Amazon AWS is a component with

0:39:42.080 --> 0:39:45.920
<v Speaker 5>an Apple Meta, what's the common thread, I mean Capex.

0:39:46.440 --> 0:39:48.960
<v Speaker 19>In the end, it comes down to what these companies

0:39:48.960 --> 0:39:53.200
<v Speaker 19>are spending and how does it translate into revenue. So

0:39:53.280 --> 0:39:57.560
<v Speaker 19>clearly for cloud guys like Amazon and Microsoft, it's the Azure.

0:39:57.239 --> 0:39:58.760
<v Speaker 4>Growth, the Awlus growth.

0:39:59.040 --> 0:40:02.160
<v Speaker 19>But for Meta about how they've deployed on their social

0:40:02.239 --> 0:40:06.120
<v Speaker 19>media network and they talked about custom chat our tools

0:40:06.160 --> 0:40:09.480
<v Speaker 19>for Instagram. I mean, that's huge if they can monetize it,

0:40:09.600 --> 0:40:12.600
<v Speaker 19>you know, through more ad revenue, and that's something to

0:40:12.640 --> 0:40:13.200
<v Speaker 19>watch out for.

0:40:13.680 --> 0:40:15.960
<v Speaker 5>It's a busy week for us here on Bloomberg Technology,

0:40:16.000 --> 0:40:18.439
<v Speaker 5>but my colleagues over at Bloomberg Intelligence are just as

0:40:18.480 --> 0:40:21.600
<v Speaker 5>busy and handle all those earnings so well. Mandate seeing

0:40:21.920 --> 0:40:25.239
<v Speaker 5>of Bloomberg Intelligence who's leading our tech team there. It's

0:40:25.280 --> 0:40:26.799
<v Speaker 5>a big week, but there was a lot that just

0:40:26.800 --> 0:40:28.960
<v Speaker 5>happened in the show, so recap. That may well do

0:40:29.000 --> 0:40:31.760
<v Speaker 5>it for this edition of Bloomberg Technology. But we always

0:40:31.760 --> 0:40:34.200
<v Speaker 5>have our podcast, which you can find on the Bloomberg

0:40:34.200 --> 0:40:37.799
<v Speaker 5>platforms like the Bloomberg Terminal, but also on Apple Spotify

0:40:38.080 --> 0:40:43.520
<v Speaker 5>and also on iHeart After the Bell, Microsoft, AMD Tomorrow

0:40:43.800 --> 0:40:47.200
<v Speaker 5>AMDCO Lisa Sue on this program. These are all big

0:40:47.200 --> 0:40:49.080
<v Speaker 5>ones you don't want to miss. You've got any questions,

0:40:49.280 --> 0:40:51.080
<v Speaker 5>you know where to find me. I'd be happy to

0:40:51.080 --> 0:40:52.840
<v Speaker 5>look at them and fill them to Lisa.

0:40:53.000 --> 0:40:55.120
<v Speaker 4>Thanks for tuning in. This is Bloomberg Technology.