WEBVTT - Tech Stocks Take a Beating and Tesla Recalls Cars

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<v Speaker 1>Imed Lovelow in San Francisco. This is Bloomberg Technology coming up,

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<v Speaker 1>Tech stocks taker Bruising, we'll discuss the sea of red

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<v Speaker 1>in the stock market. Is investors brace for a more

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<v Speaker 1>hawkish FED? Plus shop of five plunges. After earnings, we

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<v Speaker 1>discussed the company's revenue outlook with President Harley Finkelstein, and

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<v Speaker 1>bring you the latest on the CEO departure at YouTube

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<v Speaker 1>and a look at artificial intelligence and investing in it.

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<v Speaker 1>We speak with Greylock general partner song Butter Meddie. That's

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<v Speaker 1>for more. Let's stick with these markets and the tech sector,

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<v Speaker 1>bringing clear Bridge senior research analysts Hillary Fresh and Hillary

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<v Speaker 1>you know you've learned that one session and market does

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<v Speaker 1>not make but the FED giving us a clear kind

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<v Speaker 1>of travel direction today right when we think about the

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<v Speaker 1>technology sector, how are you thinking right now when it

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<v Speaker 1>ums particularly to software and there's high multiple tech names.

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<v Speaker 1>Thanks very much that it's good to be here. U.

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<v Speaker 1>First of all, there has I agree with Richard, there's

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<v Speaker 1>been a lot of speculation in this market, especially with

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<v Speaker 1>certain components of the Tech index. However, um I have

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<v Speaker 1>a slightly different view. Um when we look at how

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<v Speaker 1>we got here, um Q four orians in fact weren't

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<v Speaker 1>so bad. They weren't as bad as investors feared. UM

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<v Speaker 1>companies actually were able to constructively take down guidance for

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<v Speaker 1>the four year and on top of that, most companies

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<v Speaker 1>have actually taken a much more significant step toward profitability

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<v Speaker 1>and improving profitability, and I think that's a big part

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<v Speaker 1>of the reason why the average stock has rallied. The

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<v Speaker 1>IDV software next was up as of yesterday. That's almost

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<v Speaker 1>double the SMP appreciation, and there are components of that

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<v Speaker 1>that were up thirty not all of them speculative, but

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<v Speaker 1>I agree how interest rates are very tough for tech um. Plus,

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<v Speaker 1>we're entering the seasonally difficult part of the year, so

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<v Speaker 1>it's likely we give up some of these games, and

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<v Speaker 1>I think that would be constructive. You know, we're in

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<v Speaker 1>the debts of earning season, and you know, all we

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<v Speaker 1>can do on a case by case basis and look

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<v Speaker 1>at those that be expectations and those that miss. But

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<v Speaker 1>as you look across software sas enterprise in particular, how

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<v Speaker 1>are you discerning those that are are struggling in this

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<v Speaker 1>environment and those that are outdoing expectations. Sure well, at

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<v Speaker 1>clear Bridge we have a quality bias, and we tried

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<v Speaker 1>to invest in quality companies, quality management teams that are

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<v Speaker 1>extremely well positioned across their sector UM. HubSpot is an

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<v Speaker 1>example of that. HubSpot reported after the clothes that actually

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<v Speaker 1>beat revenues by five it beat EPs by thirty percent.

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<v Speaker 1>The street was concerned because they announced a sudden percent

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<v Speaker 1>headcount cut about a week ago, and actually they guided

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<v Speaker 1>inline revenues going forward and they guided EPs fift above

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<v Speaker 1>the streets. So I would say that's an example of

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<v Speaker 1>a quality name which we like a lot um and

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<v Speaker 1>we try to pick leading companies in their category a

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<v Speaker 1>comes that have UM like HubSpot, that are expanding a

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<v Speaker 1>product portfolio, moving up and down market, doing things to

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<v Speaker 1>really determine their destiny beyond the markets hit away. We

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<v Speaker 1>just showed a fantastic chart. In fact, I think we'll

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<v Speaker 1>bring it up again because it was that good showing

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<v Speaker 1>the NAS that one hundred a pretty historic relative highs

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<v Speaker 1>the SMP five hundred. Right we're talking about elevated levels

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<v Speaker 1>that go back to near its dot com peak. My

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<v Speaker 1>question to you, based on that chart is where do

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<v Speaker 1>we sit right now with tech valuations? We had a

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<v Speaker 1>brutal sell off in two we're trying to pass valuations

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<v Speaker 1>as part of the equation around higher rates as well.

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<v Speaker 1>That's such a good question, ed. Not all tech has

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<v Speaker 1>created equal. However, software and enterprise tech in particular has

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<v Speaker 1>actually been adjusting from evaluation perspective for two years. Two

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<v Speaker 1>years as of April. Currently, for software in particular, evaluations

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<v Speaker 1>stand within their pre pandemic five and tenure averages, and

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<v Speaker 1>for growth equities there below the tenure average, in part

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<v Speaker 1>because many of the growth contingents of of the sector

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<v Speaker 1>weren't as profitable, but they're becoming more profitable. So I

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<v Speaker 1>think we've done a lot of constructive work. Um. Again,

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<v Speaker 1>the markets certainly can give back a lot of what

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<v Speaker 1>we've gotten, but I would view those that give back

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<v Speaker 1>as an interesting opportunity because I think at the end

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<v Speaker 1>of the day, digital transformation and many of the things

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<v Speaker 1>these companies are doing for digital economy remain incredibly important.

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<v Speaker 1>I don't think that's going away by any means. Hillary,

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<v Speaker 1>how many of your conversations at clear Bridge and with

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<v Speaker 1>your clients are about artificial intelligence right now? Many that

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<v Speaker 1>tell me, sure, well, well, it's interesting, um, where we're

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<v Speaker 1>large holders of Microsoft and Avid fans, Um, what's interesting

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<v Speaker 1>about this. Even though the world is incredibly focused on

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<v Speaker 1>search and the impact of chat GBT on search, I

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<v Speaker 1>think the impact to Microsoft in particular goes well the

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<v Speaker 1>on search. I think this could be a huge boon

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<v Speaker 1>to their cloud business, their productivity application business, their development

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<v Speaker 1>platform business, all of that accruise eventually to their cloud business.

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<v Speaker 1>So I think this could be a leap frogging for

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<v Speaker 1>Microsoft in the marketplace, who has never actually been seen

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<v Speaker 1>and never gotten the credit for their technology prowess and

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<v Speaker 1>never been seen as a leader in important next generation technologies,

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<v Speaker 1>whereas AI is probably the most important next generation technology

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<v Speaker 1>of this decade. Hillary Fresh of clear Bridge, thank you

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<v Speaker 1>so much for your time. See we take it from

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<v Speaker 1>those market fundamentals to AI completely conversation, different conversation happening

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<v Speaker 1>on Wall Street and globally for investors, and honestly, it

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<v Speaker 1>is getting us excited, So thank you for your time. Night.

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<v Speaker 1>Shares of Shopify plunging today after earning sixteen cent dropped

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<v Speaker 1>biggest in a year, revenue forecast for the current fiscal

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<v Speaker 1>quarter below expectations. What's really interesting, though, at least five

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<v Speaker 1>analysts raised their price targets on the stock despite that

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<v Speaker 1>drop and that miss you can see on a two

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<v Speaker 1>day basis kind of the picture they're telling the story,

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<v Speaker 1>joining us now to discuss Shopify as president Harley Finkelstein

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<v Speaker 1>and Hardy. There's no getting away from that, right, that's

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<v Speaker 1>a pretty severe market reaction, at least the investors in

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<v Speaker 1>the context of the stock. But analysts raising price targets.

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<v Speaker 1>What is it that you think they got wrong in

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<v Speaker 1>their reaction the investors? I mean, well, first, before we

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<v Speaker 1>started get into the reaction, let's talk about the quarter,

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<v Speaker 1>because obviously this all came out of out of our

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<v Speaker 1>earnings released yesterday, out of out of the print. I

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<v Speaker 1>think in a year, in particularly Q four was a

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<v Speaker 1>quarter where performance mattered more than anything else, to the street,

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<v Speaker 1>to investors, to the world. More rather than you know, potential,

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<v Speaker 1>Shopify delivered. I think we demonstrated that while commerce is

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<v Speaker 1>moving fast, Shopify is moving much faster. On the top line,

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<v Speaker 1>we beat gm B was up on a conte currency basis.

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<v Speaker 1>In Q four, revenue was was up um it was

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<v Speaker 1>sixty one million dollars for the quarter. As excuse me,

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<v Speaker 1>revenue was up to one point seven billion dollars for

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<v Speaker 1>the quarter. That's up twenty eight percent on a constant

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<v Speaker 1>currency basis. So on the top line we did really well.

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<v Speaker 1>On the bottom line, we also had we were profitable.

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<v Speaker 1>We we showed a o I of but sixty one

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<v Speaker 1>million dollars, and more importantly, we demonstrated operating expense growth

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<v Speaker 1>actually decelerated from Q three to Q four. So when

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<v Speaker 1>I think about the last two quarters Q three, in

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<v Speaker 1>Q four, I think shop it has proven that we

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<v Speaker 1>can we can drive improvements in our cost structure and

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<v Speaker 1>at the same time grow revenue while still invest in

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<v Speaker 1>critical areas. And then you know, we we mentioned brands

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<v Speaker 1>like Supreme, Black and Deck or Glossier, Mattel all coming

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<v Speaker 1>out to Shopify. So in terms of the Q four

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<v Speaker 1>we're very proud of how we showed up there. Now,

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<v Speaker 1>in terms of the expectation, obviously people didn't necessarily like

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<v Speaker 1>the guidance. We were trying to be prudent and and

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<v Speaker 1>and frankly, this morning we woke up and we saw

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<v Speaker 1>inflation numbers came out completely different than everyone thought. We

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<v Speaker 1>can of macro trends. We can do is make sure

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<v Speaker 1>that we're building a durable company, that our products are

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<v Speaker 1>beloved by the millions of merchancy that used it. We're

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<v Speaker 1>now ten of all e commerce in the US, were

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<v Speaker 1>higher in other countries, but that we're building a company

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<v Speaker 1>that is operationally disciplined and notwithstanding obviously the you know

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<v Speaker 1>today's today's stock price change, we think we are we're

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<v Speaker 1>absolutely executing. My colleague Jeffrey Morgan wrote, Shopify like a

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<v Speaker 1>film that draws critics or a film that nobody loves,

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<v Speaker 1>is getting bad reviews from investors, but then praise from others.

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<v Speaker 1>You know, that's kind of the summary here. Despite the reaction,

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<v Speaker 1>you talked about the top line, and you talked a

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<v Speaker 1>little bit about the bottom line. I know that Toby

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<v Speaker 1>was asked about this on the call. There was a

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<v Speaker 1>want from the street to learn a little bit more

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<v Speaker 1>about the roadmap for profit profit throughout this calendar year.

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<v Speaker 1>Can you talk about what Shopify is doing to to

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<v Speaker 1>meet its profitability targets. You know, we're not a company

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<v Speaker 1>that was raised on the venture capital If you think

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<v Speaker 1>about the seven year period post I p O, we

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<v Speaker 1>were profitable, profitable five at A seven at A seven years.

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<v Speaker 1>So we're a company that actually has been profitable for

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<v Speaker 1>a very long time, and we we understand the path

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<v Speaker 1>back In fact, we you know, we were cashlow positive

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<v Speaker 1>Q three, cashlow pause by a Q four and we

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<v Speaker 1>had a y then. But we're also a company that

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<v Speaker 1>takes its medicine. If you think about the layoffs that

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<v Speaker 1>have been happening in tech the last couple of weeks,

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<v Speaker 1>Shopify did head count reduction back in July of last year.

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<v Speaker 1>So we're not a company that that has been bloated

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<v Speaker 1>like a lot of other companies have. But we're also

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<v Speaker 1>making sure the products that we're putting out there are

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<v Speaker 1>are products that have that are port into our merchants.

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<v Speaker 1>One metric that missed almost entirely is our attach rate,

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<v Speaker 1>which is now at two point eight five two point

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<v Speaker 1>eight five percent. The attach rate, which is effectively revenue

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<v Speaker 1>divided by g m V, is a proxy for the

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<v Speaker 1>usage of of of our products buy our merchants. So

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<v Speaker 1>remember we have small business that come to Shopify. We

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<v Speaker 1>also have a lot of larger merchants are coming to

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<v Speaker 1>Shopify as well. I mentioned Black and Decker and Mittel

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<v Speaker 1>and Supreme on the call yesterday, So we have all

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<v Speaker 1>these different growth vectors. Not to mention, once they come

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<v Speaker 1>into Shopify, we're not just helping them with a commerce

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<v Speaker 1>we help them with physical retail. We're giving them capital.

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<v Speaker 1>We gave about four hundred million dollars of cash advances

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<v Speaker 1>in the quarter. That's about We've done about four point

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<v Speaker 1>eight billion dollars of cash advances total since the capital

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<v Speaker 1>program came to be. We're doing these like audiences to

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<v Speaker 1>help with things right return and ad spin and helping

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<v Speaker 1>them reduce the cost of customer acquisition. Shop play is

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<v Speaker 1>very much becoming the retail operating system. And this isn't

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<v Speaker 1>something that we're hoping investors, you know, trust us and

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<v Speaker 1>you'll see in the future. We're doing that right now.

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<v Speaker 1>And and and the performance I think was indicated by

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<v Speaker 1>by the print yesterday. Hey Holliday, we just have about

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<v Speaker 1>fifteen seconds. But what's your assessment of the health of

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<v Speaker 1>your user based your customers and also others intimes of

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<v Speaker 1>the consumer read through? Well, this is where I get

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<v Speaker 1>excited because if you look actually at the US business registrations,

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<v Speaker 1>the last two years have been the highest business registrations

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<v Speaker 1>of the last ten years. That's on the merchant side.

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<v Speaker 1>On the consumer side, the consumer is strong. You know,

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<v Speaker 1>we had two hundred billion dollars of g m V two.

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<v Speaker 1>That's three Times two thousand nineteen, and if you on Wednesday,

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<v Speaker 1>when when US retail sales came out, it's served. I

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<v Speaker 1>think it was up three percent. In January it was

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<v Speaker 1>anticipated to be at one point eight percent. So the

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<v Speaker 1>the consumer in the world is strong, merchants are strong,

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<v Speaker 1>and Shopify is absolutely entrepreneurship company in the retail operating

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<v Speaker 1>system for the future of business. And we're happy and

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<v Speaker 1>proud of of what we're doing. We'll keep we'll keep

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<v Speaker 1>doing us Harley Finklestein, Shopify President, We're grateful for your time.

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<v Speaker 1>Thank you, Thank you very much. Now turning to another

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<v Speaker 1>name that we're watching, and that's YouTube CEO Susan Jiki,

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<v Speaker 1>stepping down from the role after nine years running Google's

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<v Speaker 1>video streaming division, handing the reins to top Lieutenant Neil Mohan,

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<v Speaker 1>joining us with Mooys, Bloomberg's Mark Berg and also the

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<v Speaker 1>author of Course of Light comments subscribed inside YouTube's chaotic

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<v Speaker 1>rise to world domination. Mark This is a big moment

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<v Speaker 1>for YouTube. It's the big moment that some people have

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<v Speaker 1>been expecting for a while. I'd say that the pickup

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<v Speaker 1>succession is surprised. No one who's been tracking YouTube and

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<v Speaker 1>Google Neil Mohan has been at YouTube in the role

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<v Speaker 1>of Chief Product Officer since his role has expanded in

0:11:59.160 --> 0:12:02.240
<v Speaker 1>those eight years. Actually worked with with Susan Wijiski before

0:12:02.320 --> 0:12:05.160
<v Speaker 1>that on Google Adds. So he's a known entity certainly

0:12:05.200 --> 0:12:07.680
<v Speaker 1>for advertisers and a little bit more so for for

0:12:07.920 --> 0:12:12.280
<v Speaker 1>YouTube creators. Is Susan leaving YouTube at a time where

0:12:12.320 --> 0:12:15.120
<v Speaker 1>they pressured and challenged or is she leaving them in

0:12:15.120 --> 0:12:18.960
<v Speaker 1>sort of robust rude health. Uh, let's say both. I mean,

0:12:19.080 --> 0:12:21.280
<v Speaker 1>you know, I think part of Susan's Likegacy, certainly on

0:12:21.280 --> 0:12:25.439
<v Speaker 1>the business side, has been taking this asseteen when she

0:12:25.559 --> 0:12:28.360
<v Speaker 1>joined YouTube, was this huge commercial success or sorry, are

0:12:28.360 --> 0:12:31.600
<v Speaker 1>the huge like pop culture success right, but had never

0:12:31.640 --> 0:12:35.000
<v Speaker 1>really proven itself to be profitable. Uh. They've gone through

0:12:35.080 --> 0:12:37.360
<v Speaker 1>like a series of crises around the business side. But

0:12:37.360 --> 0:12:40.240
<v Speaker 1>in the past five years that ad business, at least

0:12:40.559 --> 0:12:43.960
<v Speaker 1>from what they disclosed, has more than tripled. Uh. And

0:12:44.000 --> 0:12:46.880
<v Speaker 1>you know there's moving into TV streaming. Um, They've they've

0:12:46.880 --> 0:12:49.400
<v Speaker 1>struggled a little bit on competing with Spotify, but they're

0:12:49.440 --> 0:12:53.000
<v Speaker 1>big threats now are TikTok, which is clearly a much

0:12:53.000 --> 0:12:56.400
<v Speaker 1>bigger existential threat. Uh. And then just the larger threast

0:12:56.440 --> 0:12:58.840
<v Speaker 1>that Google has on the regulatory side, like that's very

0:12:58.920 --> 0:13:01.440
<v Speaker 1>unclear about YouTube shoote. So some saw this coming. This

0:13:01.520 --> 0:13:04.440
<v Speaker 1>is what Susan herself had to say in a blog

0:13:04.480 --> 0:13:09.120
<v Speaker 1>post that was published on Thursday morning about why the

0:13:09.120 --> 0:13:11.120
<v Speaker 1>time is right for me. I feel able to do

0:13:11.200 --> 0:13:14.760
<v Speaker 1>this because we have an incredible leadership team clearly referenced

0:13:14.760 --> 0:13:16.400
<v Speaker 1>as well to Neil who's going to take the reins.

0:13:16.400 --> 0:13:18.439
<v Speaker 1>What do we know about him him as a leader

0:13:18.600 --> 0:13:22.520
<v Speaker 1>is as an operator, he's incredibly googly. I mean, I

0:13:22.559 --> 0:13:24.280
<v Speaker 1>mean that the sense of he's been there since two

0:13:24.280 --> 0:13:27.160
<v Speaker 1>thousand eight. You know, people talk to me about this.

0:13:27.240 --> 0:13:29.360
<v Speaker 1>This this actually does have some value in the sense

0:13:29.400 --> 0:13:31.599
<v Speaker 1>of Google's a very political place and in order to

0:13:31.640 --> 0:13:34.800
<v Speaker 1>get things done, you know, YouTube is a division that

0:13:34.840 --> 0:13:37.280
<v Speaker 1>has to fight for resources with other with Google Cloud,

0:13:37.400 --> 0:13:40.840
<v Speaker 1>with Pixel right, uh, and certainly having someone who has

0:13:40.880 --> 0:13:44.079
<v Speaker 1>been so experienced with the company is an asset. He's

0:13:44.160 --> 0:13:47.280
<v Speaker 1>not a media executive, right, he never worked in media before.

0:13:48.000 --> 0:13:51.280
<v Speaker 1>Um Like on programming, they had Robert Kinsel, who was

0:13:51.320 --> 0:13:54.360
<v Speaker 1>their Hollywood chief who left earlier this year, and I

0:13:54.360 --> 0:13:57.280
<v Speaker 1>think that was his replacement was another person who worked

0:13:57.280 --> 0:13:59.840
<v Speaker 1>on Google Ads, and I think It's a clear indication here.

0:14:00.160 --> 0:14:02.360
<v Speaker 1>You know, YouTube has dropped their strategy to compete with

0:14:02.400 --> 0:14:05.760
<v Speaker 1>Netflix and Amazon Prime. They're like all in on becoming

0:14:06.240 --> 0:14:09.120
<v Speaker 1>just the pre premier sort of ad ad base destination

0:14:09.200 --> 0:14:11.960
<v Speaker 1>and competing with TikTok. Before we let you go, what

0:14:11.960 --> 0:14:13.720
<v Speaker 1>do we What do you kind of reflect on in

0:14:13.760 --> 0:14:16.360
<v Speaker 1>your book about Susan? What did you learn about her

0:14:16.360 --> 0:14:18.439
<v Speaker 1>as you went about writing. Yeah, Susan's a bit of

0:14:18.480 --> 0:14:21.640
<v Speaker 1>a cipher like unlike some say Sheryl Sandberg. She has

0:14:21.720 --> 0:14:24.520
<v Speaker 1>not built a public profile. Most people out on the

0:14:24.560 --> 0:14:26.880
<v Speaker 1>street don't know who she is. I think that's been

0:14:26.920 --> 0:14:29.360
<v Speaker 1>advantageous to to YouTube, and in some ways they've been

0:14:29.400 --> 0:14:31.880
<v Speaker 1>able to sort of avoid some of the scrutiny that

0:14:31.920 --> 0:14:34.800
<v Speaker 1>Facebook has. I think what will be really interesting going

0:14:34.840 --> 0:14:37.120
<v Speaker 1>forward is she is described by people who worked at

0:14:37.120 --> 0:14:39.280
<v Speaker 1>Google as one of the very few humings of the

0:14:39.400 --> 0:14:42.800
<v Speaker 1>planet that has a relationship with the Google founders, who

0:14:42.880 --> 0:14:44.960
<v Speaker 1>are as we know, have left the company but are

0:14:45.000 --> 0:14:48.040
<v Speaker 1>still the majority shareholders. And now as Google is having

0:14:48.040 --> 0:14:52.120
<v Speaker 1>this big existential moment around ai UM, she's an important

0:14:52.160 --> 0:14:55.080
<v Speaker 1>person there and and you know she's clearly still consulting,

0:14:55.200 --> 0:14:58.440
<v Speaker 1>but her absence will I think will be felt all right.

0:14:58.480 --> 0:15:01.840
<v Speaker 1>Bloom Dugs montug of Coolest Bloomberg Reporter, but also author

0:15:02.160 --> 0:15:04.280
<v Speaker 1>of that book that you can check out. I'm sure

0:15:04.280 --> 0:15:06.240
<v Speaker 1>you can get it anywhere. It's been out since September,

0:15:06.240 --> 0:15:08.960
<v Speaker 1>and I myself will be reading it like comments Subscribe

0:15:08.960 --> 0:15:14.480
<v Speaker 1>inside YouTube's chaotic rise to world domination. Now something else

0:15:14.520 --> 0:15:17.400
<v Speaker 1>we're keeping our eye on very closely. Changes coming to

0:15:17.480 --> 0:15:21.280
<v Speaker 1>an app near you. Both Meta and Spotify launching new

0:15:21.320 --> 0:15:25.320
<v Speaker 1>features metas Instagram rolling out broadcast channels, which let users

0:15:25.360 --> 0:15:28.960
<v Speaker 1>send text or photo updates directly to followers. The ideas

0:15:28.960 --> 0:15:32.080
<v Speaker 1>to offer another way to share posts without having to

0:15:32.120 --> 0:15:35.960
<v Speaker 1>put them on a potentially cluttered main Instagram feed. Meanwhile,

0:15:36.000 --> 0:15:41.080
<v Speaker 1>Spotify will launch a TikTok esque vertically scrolling feed next month.

0:15:41.320 --> 0:15:44.120
<v Speaker 1>At their stream on event in Los Angeles, Spotify executives

0:15:44.160 --> 0:15:46.960
<v Speaker 1>will announce the latest features and upgrades coming to the

0:15:47.000 --> 0:15:50.520
<v Speaker 1>audio platform. The move toward a TikTok like feed comes

0:15:50.720 --> 0:15:53.120
<v Speaker 1>as the company seeks to attract more of those gen

0:15:53.280 --> 0:15:56.360
<v Speaker 1>Z listeners. Now coming up will bring you the latest

0:15:56.360 --> 0:15:59.080
<v Speaker 1>news in the land of VC back startups from Hydrogen

0:15:59.320 --> 0:16:02.080
<v Speaker 1>and Finte to ed Tech, and we're keeping it global

0:16:02.520 --> 0:16:05.240
<v Speaker 1>as we had to break. I'm watching shares of door Dash,

0:16:05.520 --> 0:16:09.560
<v Speaker 1>a pretty strong forecast for earnings, kind of beating expectations.

0:16:09.800 --> 0:16:12.960
<v Speaker 1>Cross cunning efforts at that company really seemed to be

0:16:13.200 --> 0:16:16.360
<v Speaker 1>taking whole door Dash and tissue fading ebit dar of

0:16:16.400 --> 0:16:18.920
<v Speaker 1>a million to a hundred and seventy million in the

0:16:18.920 --> 0:16:21.560
<v Speaker 1>fiscal first quarter. Clearly the street likes it. Shares up

0:16:21.800 --> 0:16:24.240
<v Speaker 1>six and a half percent in after hours. This is

0:16:24.240 --> 0:16:38.600
<v Speaker 1>Bloomberg time now for the VC round up, starting with Bijou,

0:16:38.760 --> 0:16:42.640
<v Speaker 1>which is in negotiations with investors including TPG to raise

0:16:42.680 --> 0:16:45.520
<v Speaker 1>more than five hundred million dollars. The Indian d tech

0:16:45.560 --> 0:16:49.200
<v Speaker 1>startup is hoping to keep its valuation steady at about

0:16:49.200 --> 0:16:53.040
<v Speaker 1>two billion dollars during that financing. That's according to sources.

0:16:53.080 --> 0:16:57.080
<v Speaker 1>Now negotiations are ongoing. It's unclear if the prospective investors

0:16:57.080 --> 0:16:59.320
<v Speaker 1>will go ahead with a deal and buys you. Is

0:16:59.320 --> 0:17:03.520
<v Speaker 1>in talks separately with creditors to renegotiate an agreement governing

0:17:03.520 --> 0:17:06.480
<v Speaker 1>a one point two billion dollar loan that's in breach

0:17:06.600 --> 0:17:10.040
<v Speaker 1>of covenants. Sunfire is in talks with investors to raise

0:17:10.080 --> 0:17:13.200
<v Speaker 1>about two hundred million euros and a new financing round

0:17:13.320 --> 0:17:16.000
<v Speaker 1>that were put a one billion euro valuation on the

0:17:16.080 --> 0:17:19.520
<v Speaker 1>hydrogen startup, as according to German newspaper Handles Flat, who

0:17:19.600 --> 0:17:23.719
<v Speaker 1>cites sources similarly here, though discussions are solo ongoing and

0:17:23.760 --> 0:17:27.280
<v Speaker 1>talks yet to be finalized. And over in Pakistan, fintech

0:17:27.359 --> 0:17:31.600
<v Speaker 1>startup ad Alphi, which helps consumers and smaller businesses, obtained loans,

0:17:31.920 --> 0:17:35.000
<v Speaker 1>raised a seven point five million dollar funding round. It's

0:17:35.040 --> 0:17:37.920
<v Speaker 1>a sign of life for the South Asian country's VC

0:17:38.080 --> 0:17:40.639
<v Speaker 1>market after it dried up with a global decline in

0:17:40.680 --> 0:17:43.000
<v Speaker 1>tech stocks last year. The round was led by co

0:17:43.160 --> 0:17:48.040
<v Speaker 1>To Ventures, Clima Ventures, Fatima, Goober Ventures and Zane Capital.

0:17:56.240 --> 0:17:58.440
<v Speaker 1>I think there's hype and there's substance, and we try

0:17:58.480 --> 0:18:01.160
<v Speaker 1>to separate the two. Hype comes and goes. It kind

0:18:01.160 --> 0:18:04.679
<v Speaker 1>of creates this crazy animal spirits. You can't control it,

0:18:04.880 --> 0:18:06.600
<v Speaker 1>and so for the better of our part, we try

0:18:06.600 --> 0:18:09.160
<v Speaker 1>to ignore what happens with hype and focus on the substance.

0:18:09.520 --> 0:18:12.040
<v Speaker 1>And when it comes to substance, it is just starting

0:18:12.080 --> 0:18:15.360
<v Speaker 1>to see some of the results in Generative AI already.

0:18:16.560 --> 0:18:19.520
<v Speaker 1>Welcome back to bloom Blow Technology IMD Lovelow in San Francisco,

0:18:19.560 --> 0:18:22.280
<v Speaker 1>and that was part of our conversation with Sonya Huanga

0:18:22.359 --> 0:18:25.800
<v Speaker 1>Sequoia Capital speaking with us yesterday about you Guessed it

0:18:25.880 --> 0:18:31.440
<v Speaker 1>artficial intelligence and sticking with AI. Can bing take over Google?

0:18:31.560 --> 0:18:35.520
<v Speaker 1>That's what Microsoft seems to think. It's reported initial findings

0:18:35.720 --> 0:18:38.920
<v Speaker 1>after a week of testing new AI additions to it's

0:18:38.960 --> 0:18:41.919
<v Speaker 1>being search engine with users from more than one sixty

0:18:41.960 --> 0:18:45.880
<v Speaker 1>nine countries. The results aipowered answers have earned the approval

0:18:45.920 --> 0:18:49.840
<v Speaker 1>of around seventy of testers, and Chat in particular has

0:18:49.880 --> 0:18:53.840
<v Speaker 1>proven a popular edition that's deepened engagement. According to the company,

0:18:53.880 --> 0:18:56.320
<v Speaker 1>Now people are also using the chat cabable wile bing

0:18:56.600 --> 0:19:00.600
<v Speaker 1>beyond specific queries for quote more general discovery of the world,

0:19:00.960 --> 0:19:03.639
<v Speaker 1>and for social entertainment. It's the story we've just got

0:19:03.720 --> 0:19:06.000
<v Speaker 1>to stick with. So let's turn to Graylock, who've been

0:19:06.000 --> 0:19:08.719
<v Speaker 1>investing in AIM machine learning for a little while now

0:19:08.760 --> 0:19:12.280
<v Speaker 1>in companies like a Debt Inflection, Gretel and many more.

0:19:12.320 --> 0:19:14.320
<v Speaker 1>You see those names of their port photo companies on

0:19:14.320 --> 0:19:17.840
<v Speaker 1>the screen. Bring in Graylock General partner, some Mode medi

0:19:18.160 --> 0:19:20.119
<v Speaker 1>So I don't even know where to start at the moment.

0:19:20.200 --> 0:19:22.560
<v Speaker 1>Every day there's a new headline. But you heard so

0:19:22.640 --> 0:19:25.199
<v Speaker 1>when you talk about the sort of the hype and

0:19:25.240 --> 0:19:29.280
<v Speaker 1>the reality, where are you on the hype reality spectrum

0:19:29.359 --> 0:19:31.120
<v Speaker 1>right now in terms of what we're seeing in real

0:19:31.160 --> 0:19:34.399
<v Speaker 1>world deployment of AI. First, thanks for having me on

0:19:34.560 --> 0:19:36.680
<v Speaker 1>excited here to talk to you about AI. As you mentioned,

0:19:36.720 --> 0:19:39.200
<v Speaker 1>we've been investing in AI Graylock for over a decade,

0:19:39.600 --> 0:19:41.840
<v Speaker 1>and we believe the shift that we're seeing now around

0:19:41.840 --> 0:19:45.240
<v Speaker 1>generative AI is equal in importance to the earlier shifts

0:19:45.240 --> 0:19:47.679
<v Speaker 1>from cloud to on premise software and the shift from

0:19:47.720 --> 0:19:50.720
<v Speaker 1>desktop to mobile. I think every company is going to

0:19:50.760 --> 0:19:53.280
<v Speaker 1>be an AI company, and everything we do at work

0:19:53.359 --> 0:19:55.840
<v Speaker 1>and how we live is going to be transformed by AI.

0:19:55.920 --> 0:19:57.960
<v Speaker 1>So I met out thinking a lot of this is real.

0:19:58.359 --> 0:20:00.880
<v Speaker 1>One mental model that my partner Hoffman and I wrote

0:20:00.920 --> 0:20:03.760
<v Speaker 1>about I think about how AI might impact our lives

0:20:04.119 --> 0:20:07.160
<v Speaker 1>is this concept of a copilot for everybody. So get

0:20:07.200 --> 0:20:09.920
<v Speaker 1>Hub copilot is an initial copilot product that's used by

0:20:09.920 --> 0:20:13.760
<v Speaker 1>developers that helps developers write better code. Imagine a world

0:20:13.760 --> 0:20:16.919
<v Speaker 1>where copilots get for lawyers helping them write better briefs,

0:20:16.960 --> 0:20:20.240
<v Speaker 1>for doctors helping them do medical diagnoses, for salespeople helping

0:20:20.240 --> 0:20:23.440
<v Speaker 1>themselves software. I think if we're having this conversation three

0:20:23.520 --> 0:20:25.640
<v Speaker 1>years from now, all of us will be using these

0:20:25.640 --> 0:20:28.080
<v Speaker 1>products that feel like copilots in the way we work

0:20:28.119 --> 0:20:31.119
<v Speaker 1>and live some contexts with your audience. So Reid Hoffman,

0:20:31.200 --> 0:20:34.280
<v Speaker 1>your partner, he's kind of one of the founding members

0:20:34.280 --> 0:20:37.160
<v Speaker 1>of open ai. He is on the board. He invested

0:20:37.160 --> 0:20:40.680
<v Speaker 1>through his own means, his own charity or charitable funds.

0:20:41.040 --> 0:20:43.280
<v Speaker 1>But I know you guys track what open ai is

0:20:43.320 --> 0:20:46.720
<v Speaker 1>doing really closely. We'll get onto your portfolio companies. But

0:20:46.880 --> 0:20:50.600
<v Speaker 1>for you right now, who or what is leading the

0:20:50.640 --> 0:20:54.320
<v Speaker 1>way in artificial intelligence? I think you have to start

0:20:54.320 --> 0:20:56.480
<v Speaker 1>with open ai and give them immense credit what they've

0:20:56.520 --> 0:20:59.359
<v Speaker 1>done with the transformer model architecture, with products like Dolly,

0:20:59.480 --> 0:21:02.840
<v Speaker 1>GPP three, Chat GPT, new models that we think will

0:21:02.880 --> 0:21:05.720
<v Speaker 1>come out later this year. They're really at the front

0:21:05.720 --> 0:21:08.920
<v Speaker 1>lines of bringing these technology to lots of application developers

0:21:08.920 --> 0:21:10.920
<v Speaker 1>and users. And as you know, they expose these and

0:21:11.000 --> 0:21:13.359
<v Speaker 1>a p i s and we're fortunate to be involved

0:21:13.359 --> 0:21:15.600
<v Speaker 1>with a number of companies that are leveraging those a

0:21:15.680 --> 0:21:17.639
<v Speaker 1>p i s on the text and the image side

0:21:17.840 --> 0:21:20.439
<v Speaker 1>to build products that solve different business use cases and

0:21:20.440 --> 0:21:25.160
<v Speaker 1>consumer use cases. You said that to your mind, every

0:21:25.240 --> 0:21:28.680
<v Speaker 1>company will be an AI company, because you still explain

0:21:28.720 --> 0:21:31.280
<v Speaker 1>a little bit more what you meant I think if

0:21:31.320 --> 0:21:33.520
<v Speaker 1>you look at the capabilities of these models on the

0:21:33.560 --> 0:21:37.720
<v Speaker 1>generation side, whether they're generating text, image, video code, on

0:21:37.760 --> 0:21:41.240
<v Speaker 1>the classification and discriminative side, looking at a portfolio of

0:21:41.280 --> 0:21:43.960
<v Speaker 1>loans and predicting what portfolio, which loan is going to default,

0:21:44.359 --> 0:21:46.959
<v Speaker 1>you're going to see every business have to have an

0:21:46.960 --> 0:21:49.440
<v Speaker 1>AI strategy, and we're seeing that already. You talked about

0:21:49.480 --> 0:21:51.560
<v Speaker 1>Microsoft and the release of their new products around being

0:21:51.880 --> 0:21:54.040
<v Speaker 1>Google and oun sparred and as fast to catch up.

0:21:54.200 --> 0:21:56.080
<v Speaker 1>There are a number of early stage companies that are

0:21:56.160 --> 0:21:58.439
<v Speaker 1>leveraging AI in different ways. If you don't have an

0:21:58.440 --> 0:22:01.720
<v Speaker 1>AI strategy, you're going to miss a very important computing wave.

0:22:03.520 --> 0:22:09.639
<v Speaker 1>This is February of November, Chat GPT kind of gets

0:22:09.720 --> 0:22:13.800
<v Speaker 1>released the world. Yet there are investors like you to

0:22:13.880 --> 0:22:16.000
<v Speaker 1>have been at this for a while. My question is

0:22:16.040 --> 0:22:18.199
<v Speaker 1>how do you feel about that? You know that that

0:22:18.440 --> 0:22:21.440
<v Speaker 1>now there's a broader interest, But I guess you've been

0:22:21.480 --> 0:22:26.600
<v Speaker 1>trying to drum up interest in this well before November two. Absolutely,

0:22:26.640 --> 0:22:28.280
<v Speaker 1>as I said, we've been investing inn ai for more

0:22:28.320 --> 0:22:30.080
<v Speaker 1>than a decade, and we can talk about some of

0:22:30.080 --> 0:22:33.399
<v Speaker 1>our companies are scaling today and having real impact. But

0:22:33.480 --> 0:22:35.720
<v Speaker 1>I think Chat GPT was an important moment. I've heard

0:22:35.760 --> 0:22:38.679
<v Speaker 1>it described as the iPhone moment for Generator AI, and

0:22:38.720 --> 0:22:41.120
<v Speaker 1>I think the power of that interface and the way

0:22:41.119 --> 0:22:43.600
<v Speaker 1>that end users could actually use it in the real world,

0:22:43.880 --> 0:22:46.240
<v Speaker 1>it felt like magic, and I think it showed everyone

0:22:46.280 --> 0:22:48.680
<v Speaker 1>how a can be used. But as you pointed out

0:22:48.680 --> 0:22:50.240
<v Speaker 1>that we've been investing an air for a long time. So,

0:22:50.280 --> 0:22:52.840
<v Speaker 1>for example, were investors in a company called KRUSTA crusts

0:22:52.840 --> 0:22:55.760
<v Speaker 1>as a generative a company that services contact center. So

0:22:55.760 --> 0:22:58.720
<v Speaker 1>if you call Rising today, Rising contact center agents are

0:22:58.800 --> 0:23:01.640
<v Speaker 1>using Generative I and the they interact with you, leveraging

0:23:01.640 --> 0:23:03.600
<v Speaker 1>the technology Crust has built. And that's just one of

0:23:03.640 --> 0:23:06.120
<v Speaker 1>many examples. So so you brought up that that particular name,

0:23:06.119 --> 0:23:09.400
<v Speaker 1>that's we'll bring up on the screen your portfolio companies.

0:23:09.840 --> 0:23:13.439
<v Speaker 1>How do you value them accurately? You know, look at

0:23:13.480 --> 0:23:16.480
<v Speaker 1>those names you're invested in, um, you know, how do

0:23:16.560 --> 0:23:19.280
<v Speaker 1>they make money is on the top line one question.

0:23:19.400 --> 0:23:23.399
<v Speaker 1>But actually what we're being asked more often is valuations. Valuations,

0:23:23.440 --> 0:23:26.560
<v Speaker 1>valuations absolutely, So it's hard to talk about valuations in

0:23:26.560 --> 0:23:28.840
<v Speaker 1>a general sense. But whatever itsay is that Greylock, we're

0:23:28.880 --> 0:23:31.359
<v Speaker 1>early stage investors. We invest in a small set of

0:23:31.400 --> 0:23:33.560
<v Speaker 1>companies and we invest with a ten year plus time

0:23:33.680 --> 0:23:36.640
<v Speaker 1>rising right. Depending on the business, there are different ways

0:23:36.680 --> 0:23:39.560
<v Speaker 1>to think about valuations. Some of these businesses are enterprise companies,

0:23:39.600 --> 0:23:42.199
<v Speaker 1>so crust as a SAS company it leverages AI to

0:23:42.240 --> 0:23:44.960
<v Speaker 1>build its SaaS products, saying without normal security, a cybersecurity

0:23:45.000 --> 0:23:48.280
<v Speaker 1>company that leverages AI. These are durable business models that

0:23:48.320 --> 0:23:49.920
<v Speaker 1>have stood the test of time and we think will

0:23:49.960 --> 0:23:53.359
<v Speaker 1>lead to high growth, profitable and during businesses. I wanted

0:23:53.359 --> 0:23:55.840
<v Speaker 1>to ask you about Snorkel because I know that you

0:23:56.000 --> 0:23:59.120
<v Speaker 1>have published blog posts yourself gone on podcast to kind

0:23:59.119 --> 0:24:03.800
<v Speaker 1>of use them as a neat example as a case study.

0:24:04.200 --> 0:24:09.240
<v Speaker 1>How do you discern these startups that are promising versus

0:24:09.320 --> 0:24:11.680
<v Speaker 1>the start You know what I'm hearing from VNCH capsulists

0:24:11.680 --> 0:24:14.399
<v Speaker 1>and your peers is well, I'm getting a hundred decks

0:24:14.520 --> 0:24:17.959
<v Speaker 1>through my desk, about one percent of them are actually

0:24:18.000 --> 0:24:20.320
<v Speaker 1>focused on AI. The rest just claimed to be. So

0:24:20.720 --> 0:24:22.520
<v Speaker 1>using that as a case study, explain to me how

0:24:22.600 --> 0:24:26.359
<v Speaker 1>you've identified this as something with real promise. Absolutely so,

0:24:26.400 --> 0:24:28.480
<v Speaker 1>when we make an investment, we look at two things.

0:24:28.600 --> 0:24:31.000
<v Speaker 1>One is what is the problem that the entrepreneur in

0:24:31.040 --> 0:24:33.080
<v Speaker 1>team is trying to solve? And what type of market

0:24:33.080 --> 0:24:35.920
<v Speaker 1>opportunity does it represent? And the second is do they

0:24:35.920 --> 0:24:39.520
<v Speaker 1>have a durable, compounding technical advantage in solving that problem.

0:24:39.720 --> 0:24:42.080
<v Speaker 1>Storcle is a great example, so snor calls a data

0:24:42.200 --> 0:24:45.280
<v Speaker 1>science and machine learning platform for the enterprise. It enables

0:24:45.359 --> 0:24:48.440
<v Speaker 1>large banks and insurance companies and government agencies to take

0:24:48.480 --> 0:24:51.320
<v Speaker 1>advantage of all of these advancements we're seeing an AI.

0:24:51.359 --> 0:24:53.800
<v Speaker 1>When we first met the team, we were blown away

0:24:53.800 --> 0:24:56.680
<v Speaker 1>by this team's background, having come out of Stanford, having

0:24:56.720 --> 0:25:00.040
<v Speaker 1>published a number of interesting articles and results around on

0:25:00.160 --> 0:25:03.080
<v Speaker 1>ways AI can be used in enterprise contacts. And fast

0:25:03.119 --> 0:25:06.200
<v Speaker 1>forward to today, they're serving many of the largest Fortune

0:25:06.200 --> 0:25:08.919
<v Speaker 1>five accounts and enabling them to take something that feels

0:25:08.920 --> 0:25:11.439
<v Speaker 1>like chat Gypt but actually use it on top of

0:25:11.480 --> 0:25:13.600
<v Speaker 1>their own data and in use cases that they can

0:25:13.640 --> 0:25:16.119
<v Speaker 1>have in production today, driving business value. I want to

0:25:16.160 --> 0:25:18.400
<v Speaker 1>ask you a bit about the read three to enterprise

0:25:18.520 --> 0:25:21.360
<v Speaker 1>and sort of broader software companies. There's this idea right

0:25:21.440 --> 0:25:25.760
<v Speaker 1>that Microsoft may give as You're an advantage because those

0:25:25.800 --> 0:25:29.280
<v Speaker 1>customers using asual can get access to the open AI

0:25:29.440 --> 0:25:32.000
<v Speaker 1>A p I S, so that makes it more attractive.

0:25:32.040 --> 0:25:34.520
<v Speaker 1>Do you think that makes sense as a business proposition

0:25:34.560 --> 0:25:36.919
<v Speaker 1>for the biggest head companies. I think all of the

0:25:36.920 --> 0:25:39.359
<v Speaker 1>cloud players are going to need to have an AI story.

0:25:39.440 --> 0:25:41.720
<v Speaker 1>I think the relationship that Microsoft has with open AI

0:25:41.840 --> 0:25:43.960
<v Speaker 1>is a really interesting and smart one. We're going to

0:25:44.000 --> 0:25:47.639
<v Speaker 1>see similar, similar products get released by Google by AWS

0:25:47.720 --> 0:25:49.679
<v Speaker 1>that would be my production. And I think as you

0:25:49.760 --> 0:25:52.879
<v Speaker 1>serve the next wave of applications that leverage AI as

0:25:52.880 --> 0:25:55.600
<v Speaker 1>a cloud provider, you have to have AI capabilities built

0:25:55.640 --> 0:25:57.879
<v Speaker 1>in and you better believe that that's going to be

0:25:57.920 --> 0:26:00.720
<v Speaker 1>a dimension on which customers are going to discern. We

0:26:00.840 --> 0:26:03.400
<v Speaker 1>have to talk about ethics, and we have to talk

0:26:03.400 --> 0:26:07.320
<v Speaker 1>about concern The biggest concern is accuracy when it comes

0:26:07.320 --> 0:26:10.760
<v Speaker 1>to generative AI. You'll take please, I'm glad you brought

0:26:10.800 --> 0:26:12.639
<v Speaker 1>this up, and this is why I'm so happy that

0:26:12.680 --> 0:26:15.760
<v Speaker 1>we have things like chat gybt being these products actually

0:26:15.800 --> 0:26:18.359
<v Speaker 1>in the real world so that end users can interact

0:26:18.440 --> 0:26:20.920
<v Speaker 1>with them and these problems canna get surfaced that wouldn't

0:26:20.920 --> 0:26:22.960
<v Speaker 1>happen if these things were being built in the laboratory.

0:26:23.119 --> 0:26:25.159
<v Speaker 1>I'm confident that these things in the real world, with

0:26:25.200 --> 0:26:27.919
<v Speaker 1>the right guard rail and the human feedback systems, we

0:26:27.960 --> 0:26:29.800
<v Speaker 1>are going to see dramatic improvement and we're going to

0:26:29.840 --> 0:26:32.960
<v Speaker 1>see models and products that are trustworthy, speak the truth,

0:26:33.000 --> 0:26:36.680
<v Speaker 1>and act with high integrity. The phrase AI arms race

0:26:37.320 --> 0:26:39.880
<v Speaker 1>comes up every day. Now. Is that a fair way

0:26:39.920 --> 0:26:42.880
<v Speaker 1>of describing what we're seeing in the market right now?

0:26:43.600 --> 0:26:46.240
<v Speaker 1>I think it is if you believe as I do,

0:26:46.359 --> 0:26:48.840
<v Speaker 1>that AI is a wave on the same level of

0:26:48.840 --> 0:26:51.080
<v Speaker 1>impact as the shift to mobile or the shift of cloud.

0:26:51.560 --> 0:26:54.960
<v Speaker 1>Everything is up for grabs. We're seeing innovation and disruption everywhere.

0:26:55.160 --> 0:26:57.520
<v Speaker 1>You talked earlier about search, so that's just one of

0:26:57.560 --> 0:26:59.399
<v Speaker 1>many markets where we're seeing a lot of disruption. We

0:26:59.440 --> 0:27:02.280
<v Speaker 1>saw what Mike Saft died with being Google, announcing bard

0:27:02.320 --> 0:27:05.000
<v Speaker 1>and catching up newer companies like Niva and our portfolio

0:27:05.080 --> 0:27:08.080
<v Speaker 1>that are building AI need of approaches to search. We're

0:27:08.080 --> 0:27:11.160
<v Speaker 1>going to see it disrupt every market, all right, Graylock,

0:27:11.240 --> 0:27:13.639
<v Speaker 1>General partner Son Morta Medie, Thank you so much for

0:27:13.680 --> 0:27:16.360
<v Speaker 1>your time and taking us through your take. What what's

0:27:16.400 --> 0:27:20.800
<v Speaker 1>happening in AI? Now? Coming up? Tesla is recalling hundreds

0:27:20.840 --> 0:27:25.439
<v Speaker 1>of thousands of vehicles. We'll tell you why next. This

0:27:25.520 --> 0:27:40.800
<v Speaker 1>is Bloomberg. Tesla is recalling hundreds of thousands of vehicles

0:27:40.840 --> 0:27:45.680
<v Speaker 1>after US authorities said it's automating driving technology could increase

0:27:45.840 --> 0:27:48.680
<v Speaker 1>the risk of a crash yours makers so called full

0:27:48.720 --> 0:27:52.560
<v Speaker 1>self driving beta system quote may allow the vehicle to

0:27:52.640 --> 0:27:57.040
<v Speaker 1>act unsafe around intersections that according to Nitzer. Now joining

0:27:57.080 --> 0:28:00.359
<v Speaker 1>us for more is Bloomberg's Graham Star and editor on

0:28:00.400 --> 0:28:03.520
<v Speaker 1>our Global business team, Graham, let's get it out there early.

0:28:04.240 --> 0:28:08.600
<v Speaker 1>This recall requires an over the air update fix, right,

0:28:08.920 --> 0:28:12.240
<v Speaker 1>but what is an issue here? That's right, So Tesla

0:28:12.320 --> 0:28:16.520
<v Speaker 1>will be issuing these over the air software updates by

0:28:16.640 --> 0:28:20.760
<v Speaker 1>April fifteen. According to Nitza, Um, what's the issue is,

0:28:21.320 --> 0:28:24.959
<v Speaker 1>these cars are not behaving as up to the standards,

0:28:25.440 --> 0:28:28.600
<v Speaker 1>the safety standards that knitsa once at intersections. It is

0:28:28.640 --> 0:28:32.000
<v Speaker 1>going straight at lanes that are turned only. It is

0:28:32.480 --> 0:28:37.280
<v Speaker 1>having inconsistent speeds when UH speed limits change. It is

0:28:37.320 --> 0:28:41.360
<v Speaker 1>stopping for extended periods of time at intersections. Everything that

0:28:41.360 --> 0:28:44.720
<v Speaker 1>that this company that the agency says could lead to

0:28:44.760 --> 0:28:48.120
<v Speaker 1>a collision. And and so they are issuing this recall. Um,

0:28:48.360 --> 0:28:50.800
<v Speaker 1>the recall does not mean that cars are being sent back.

0:28:51.160 --> 0:28:54.400
<v Speaker 1>Tesla is issuing a software update that they said should

0:28:54.440 --> 0:28:56.880
<v Speaker 1>fix this issue. The company also says this has not

0:28:56.960 --> 0:29:02.080
<v Speaker 1>caused injuries or deaths. We're showing a tweet from Elon

0:29:02.240 --> 0:29:05.080
<v Speaker 1>Musk of course, as we always do, we reached down

0:29:05.120 --> 0:29:09.440
<v Speaker 1>to Tesla for comment. They did not reply. I personally

0:29:09.440 --> 0:29:11.760
<v Speaker 1>reached out to elon Mask Martin Viecker in the i

0:29:12.000 --> 0:29:15.360
<v Speaker 1>R team. Uh No one replied, but later he tweeted,

0:29:15.400 --> 0:29:18.560
<v Speaker 1>definitely the word recall for an overdir software update is

0:29:18.600 --> 0:29:22.640
<v Speaker 1>anachronistic in his view. You can see they're also the

0:29:22.640 --> 0:29:26.520
<v Speaker 1>shares eventually responding took a while, but down five point

0:29:26.560 --> 0:29:30.400
<v Speaker 1>seven percent. What do we know about the vehicle's impacted, Graham?

0:29:31.200 --> 0:29:33.840
<v Speaker 1>The vehicle's impacted right now, NITZA is saying it's a

0:29:33.960 --> 0:29:38.080
<v Speaker 1>it's a rare issue, but it is about you know,

0:29:38.120 --> 0:29:42.640
<v Speaker 1>a few dozen models of model S, Model three, Model X,

0:29:42.680 --> 0:29:47.360
<v Speaker 1>and mile Model Y vehicles between two thousand sixteen three.

0:29:47.720 --> 0:29:52.520
<v Speaker 1>So any Tesla vehicle UH produced in the last seven years,

0:29:52.840 --> 0:29:55.719
<v Speaker 1>um is you know, could be considered part of this recall.

0:29:55.840 --> 0:29:57.400
<v Speaker 1>And I do recommend that if you own one of

0:29:57.400 --> 0:29:59.880
<v Speaker 1>these vehicles to go on the nits A website and

0:30:00.000 --> 0:30:02.680
<v Speaker 1>see if your vehicle is affected. You know, a lot

0:30:02.680 --> 0:30:06.440
<v Speaker 1>of the our audience out there on Twitter, on other

0:30:06.480 --> 0:30:08.680
<v Speaker 1>social platforms, on Instagram, they're saying, you know, why are

0:30:08.720 --> 0:30:10.840
<v Speaker 1>you guys jumping on this is a software fixed. Why

0:30:10.840 --> 0:30:13.520
<v Speaker 1>are you calling it a recal? Well, according to Nitzer,

0:30:13.600 --> 0:30:16.160
<v Speaker 1>it is a technical recal. But the other point that

0:30:16.200 --> 0:30:18.960
<v Speaker 1>we're making our reporting right is that Elon Musk has

0:30:19.000 --> 0:30:23.640
<v Speaker 1>talked about how central fs D is to Tesla's valuation.

0:30:23.840 --> 0:30:26.760
<v Speaker 1>You know that that's what he's talked about in the past. Absolutely,

0:30:26.840 --> 0:30:30.160
<v Speaker 1>this is really about where he sees the company. And

0:30:30.240 --> 0:30:34.360
<v Speaker 1>as we've reported before, what is marketed as full self

0:30:34.440 --> 0:30:38.280
<v Speaker 1>driving or autopilot often comes into conflict with the reality

0:30:38.320 --> 0:30:41.120
<v Speaker 1>of the situation. The company itself says on its website

0:30:41.400 --> 0:30:44.800
<v Speaker 1>that full self driving and autopilot should not be enabled

0:30:44.840 --> 0:30:47.840
<v Speaker 1>without driver's attention, that the drivers should always keep their

0:30:47.840 --> 0:30:51.600
<v Speaker 1>hands available to take over um and this marketing and

0:30:51.840 --> 0:30:53.920
<v Speaker 1>even the labeling of a full self driving has had

0:30:53.960 --> 0:30:58.200
<v Speaker 1>people and critics and agencies complain about this. Uh. You know,

0:30:58.440 --> 0:31:01.200
<v Speaker 1>this is also part of an ongoing investigation that NITZA

0:31:01.240 --> 0:31:05.959
<v Speaker 1>has had into the company's autopilot and full self driving technology.

0:31:06.080 --> 0:31:08.440
<v Speaker 1>So this is a real risk for the company. Should

0:31:08.480 --> 0:31:11.200
<v Speaker 1>this not Should this have any more faults and be

0:31:11.280 --> 0:31:14.040
<v Speaker 1>something that the US government is investigating a little bit

0:31:14.080 --> 0:31:17.480
<v Speaker 1>more seriously. Bloom Doos Graham Star, thank you so much

0:31:17.480 --> 0:31:22.360
<v Speaker 1>for your reporting thank you now. Snapchat user growth is accelerating,

0:31:22.360 --> 0:31:25.160
<v Speaker 1>with the app now seeing seven hundred and fifty million

0:31:25.240 --> 0:31:28.920
<v Speaker 1>monthly users. Joining us for more is Bloomberg's Alex Brinker

0:31:29.000 --> 0:31:31.240
<v Speaker 1>and Alex this was kind of the big takeaway from

0:31:31.240 --> 0:31:35.160
<v Speaker 1>their investor today. The stock kind of reactive policy positively

0:31:35.200 --> 0:31:37.240
<v Speaker 1>in the sense that it paid losses, but all told,

0:31:37.560 --> 0:31:41.120
<v Speaker 1>closing down pretty significantly. Why is that seven hundred and

0:31:41.120 --> 0:31:44.920
<v Speaker 1>fifty million figure important? Yeah, And I was down in

0:31:44.960 --> 0:31:47.800
<v Speaker 1>Santa Monica at the investor day in person today and

0:31:47.880 --> 0:31:50.360
<v Speaker 1>when they shared that number, it was clear the market.

0:31:50.440 --> 0:31:52.520
<v Speaker 1>I saw a little bit of excitement on the user

0:31:52.560 --> 0:31:54.560
<v Speaker 1>growth side. If you think of a social media company,

0:31:54.560 --> 0:31:57.480
<v Speaker 1>there's two pillars, right, there's users and growth, and there's

0:31:57.560 --> 0:32:00.760
<v Speaker 1>AD revenue. Well, AD revenue has been really each challenge.

0:32:00.840 --> 0:32:02.800
<v Speaker 1>So it's a good little number for Snap to be

0:32:02.840 --> 0:32:05.120
<v Speaker 1>able to show up and say, hey, look our growth

0:32:05.320 --> 0:32:09.080
<v Speaker 1>is not only good strong. It grew in the last

0:32:09.080 --> 0:32:12.160
<v Speaker 1>ten months, but it's actually faster than the entire year

0:32:12.320 --> 0:32:15.720
<v Speaker 1>prior to that when it grew at now, if you

0:32:15.760 --> 0:32:18.000
<v Speaker 1>look at the stock today when that news came out,

0:32:18.000 --> 0:32:20.000
<v Speaker 1>there was a bit of a jump up about two

0:32:20.040 --> 0:32:23.320
<v Speaker 1>hours later. Um was when the CFO took the stage

0:32:23.600 --> 0:32:26.240
<v Speaker 1>and then started talking about some of the financial bit

0:32:26.240 --> 0:32:28.760
<v Speaker 1>of the business, which seemed to be a bit more disappointing,

0:32:30.040 --> 0:32:32.120
<v Speaker 1>right And and you know, we're showing that the share

0:32:32.160 --> 0:32:36.280
<v Speaker 1>performance on a twelve month basis is still down, so

0:32:36.360 --> 0:32:38.280
<v Speaker 1>over the last twelve months, what did What did the

0:32:38.320 --> 0:32:41.760
<v Speaker 1>CFO have to say about the advertising environment right now?

0:32:41.800 --> 0:32:44.720
<v Speaker 1>Because you know, I'm not personally using Snap anymore it

0:32:44.760 --> 0:32:47.120
<v Speaker 1>did when I was younger, but it still comes down

0:32:47.200 --> 0:32:50.560
<v Speaker 1>to adds when it comes to social media, it absolutely does.

0:32:50.600 --> 0:32:52.360
<v Speaker 1>And their ad business has had a lot of pressure,

0:32:52.400 --> 0:32:54.840
<v Speaker 1>not only from macro issues but because of the changes

0:32:54.880 --> 0:32:57.920
<v Speaker 1>that Apple made that made ads harder to track and

0:32:58.000 --> 0:33:01.720
<v Speaker 1>target folks. But he basically took a look at past

0:33:01.840 --> 0:33:04.120
<v Speaker 1>growth in terms of revenue, which the majority of their

0:33:04.120 --> 0:33:06.800
<v Speaker 1>revenue comes from their ad business. They've been growing at

0:33:06.800 --> 0:33:10.320
<v Speaker 1>a really incredibly strong clip until this past quarter. In

0:33:10.320 --> 0:33:12.800
<v Speaker 1>the fourth quarter, revenue was flat for the first time ever,

0:33:13.120 --> 0:33:15.600
<v Speaker 1>and they've guided that revenue is expected to fall two

0:33:15.600 --> 0:33:18.160
<v Speaker 1>to ten percent in the next quarter, the first ever decline.

0:33:18.520 --> 0:33:22.040
<v Speaker 1>So the CFO was basically talking through with a lot

0:33:22.080 --> 0:33:24.680
<v Speaker 1>of caveats, saying, you know, if we come back to

0:33:24.760 --> 0:33:28.000
<v Speaker 1>a stronger macro environment. If we are able to resolve

0:33:28.160 --> 0:33:30.360
<v Speaker 1>some of the issues and implement some of the tech

0:33:30.400 --> 0:33:33.080
<v Speaker 1>fixes that they're putting in place this quarter to improve

0:33:33.080 --> 0:33:36.040
<v Speaker 1>their ad business, then we can return to growth. But

0:33:36.320 --> 0:33:38.560
<v Speaker 1>as we saw from some of the analysts and investor

0:33:38.680 --> 0:33:41.520
<v Speaker 1>questions when we were there in Santa Monica, there is

0:33:41.560 --> 0:33:45.400
<v Speaker 1>some skepticism around how quickly that macro environment is going

0:33:45.440 --> 0:33:48.520
<v Speaker 1>to improve. Evan Spiegel, the CEO, fielded one of those

0:33:48.640 --> 0:33:52.400
<v Speaker 1>questions about the macro environment, and he said, look, things

0:33:52.440 --> 0:33:55.480
<v Speaker 1>are still bad, but they're leveling off. They're not getting better,

0:33:55.600 --> 0:33:58.240
<v Speaker 1>but at least we have some bad stability in terms

0:33:58.280 --> 0:34:02.040
<v Speaker 1>of where marketers are spending all line. So this fight forward.

0:34:02.160 --> 0:34:05.480
<v Speaker 1>Snap has this target of reaching a billion users, right,

0:34:05.560 --> 0:34:07.920
<v Speaker 1>that's the next step up. How does it get that?

0:34:09.080 --> 0:34:11.480
<v Speaker 1>It was really interesting and they said the majority of

0:34:11.520 --> 0:34:13.279
<v Speaker 1>that next billion, which they think they can do in

0:34:13.320 --> 0:34:16.359
<v Speaker 1>the next two to three years, they will be able

0:34:16.360 --> 0:34:19.640
<v Speaker 1>to get there through growth outside of their developed markets,

0:34:19.640 --> 0:34:22.520
<v Speaker 1>so not North America, not Europe, but the rest of

0:34:22.520 --> 0:34:25.640
<v Speaker 1>the world as they call it, of onboarding new users

0:34:25.680 --> 0:34:28.640
<v Speaker 1>who have never used Snapchat before in those developed areas

0:34:28.680 --> 0:34:32.520
<v Speaker 1>they're really focused on basically young people. They said they're

0:34:32.560 --> 0:34:35.800
<v Speaker 1>one of their key growth drivers in existing strong markets

0:34:36.000 --> 0:34:38.399
<v Speaker 1>is to be one of those first favorite apps, as

0:34:38.400 --> 0:34:40.960
<v Speaker 1>they called it, for people who newly get their smartphones.

0:34:41.239 --> 0:34:45.120
<v Speaker 1>They already hit about seventy five of users between the

0:34:45.160 --> 0:34:48.680
<v Speaker 1>age of thirteen and eighteen in their developed markets. So

0:34:48.920 --> 0:34:51.440
<v Speaker 1>it seems like as those folks age into having a

0:34:51.440 --> 0:34:54.120
<v Speaker 1>smartphone into their hands, they're trying to make sure that

0:34:54.160 --> 0:34:57.919
<v Speaker 1>they're downloading Snapchat at the same time. Alright, bloombergs atting

0:34:57.920 --> 0:35:00.000
<v Speaker 1>spurrin Ka, thank you on the ground, there a snap

0:35:00.120 --> 0:35:12.279
<v Speaker 1>invest today down in l A. In the eighties and nineties,

0:35:12.520 --> 0:35:16.759
<v Speaker 1>John McAfee was a Silicon Valley icon, but after he

0:35:16.840 --> 0:35:21.479
<v Speaker 1>sold his company and basked in his riches, things took

0:35:21.480 --> 0:35:25.480
<v Speaker 1>a dark turn. I will not allow them to imprison

0:35:25.560 --> 0:35:30.440
<v Speaker 1>me and shut my voice down. This season on Foundering

0:35:31.080 --> 0:35:35.719
<v Speaker 1>will retrace the life of John McAfee. Listen wherever you

0:35:35.760 --> 0:35:41.279
<v Speaker 1>get your podcasts. M All right, let's get more to

0:35:41.400 --> 0:35:44.760
<v Speaker 1>a deep dive into the self destruction of this Silicon

0:35:44.880 --> 0:35:48.200
<v Speaker 1>Valley icon and bring in Bloomberg's Jamie Tara Bay, host

0:35:48.520 --> 0:35:53.120
<v Speaker 1>of this particular Foundering podcast series. You spent fifteen months

0:35:53.560 --> 0:36:00.200
<v Speaker 1>working on this Jamie, what were your conclusions. One of

0:36:00.200 --> 0:36:02.560
<v Speaker 1>the things that we were really struck by, and there

0:36:02.640 --> 0:36:04.520
<v Speaker 1>was also a big question that we got about why

0:36:04.600 --> 0:36:06.840
<v Speaker 1>we even wanted to do this in the first place,

0:36:07.400 --> 0:36:11.680
<v Speaker 1>is that by by his end, John McAfee was practically irrelevant,

0:36:11.840 --> 0:36:16.040
<v Speaker 1>someone who the conspiracists really kind of looked at. But

0:36:16.160 --> 0:36:19.080
<v Speaker 1>when he was in his forties at a really, you know,

0:36:19.120 --> 0:36:22.000
<v Speaker 1>sort of formative time for a lot of tech founders,

0:36:22.400 --> 0:36:25.040
<v Speaker 1>he was someone who was disrupted to the industry. He

0:36:25.160 --> 0:36:28.600
<v Speaker 1>was someone who became very successful, very wealthy, very quickly.

0:36:29.239 --> 0:36:31.880
<v Speaker 1>And one of the things that we noticed and we

0:36:31.960 --> 0:36:35.120
<v Speaker 1>paid attention to, was the choices that he made once

0:36:35.120 --> 0:36:37.960
<v Speaker 1>he kind of came into that wealth and a lot

0:36:38.040 --> 0:36:42.320
<v Speaker 1>of there's so many similarities between him back then and

0:36:42.320 --> 0:36:44.680
<v Speaker 1>and some of the tech moguls that we see today.

0:36:45.080 --> 0:36:48.160
<v Speaker 1>He surrounded himself with the enighblers he made. He realized,

0:36:48.200 --> 0:36:52.040
<v Speaker 1>he recognized the outsized influence he had had, and he

0:36:52.120 --> 0:36:54.440
<v Speaker 1>made a lot of choices, not all of them good,

0:36:54.760 --> 0:36:56.440
<v Speaker 1>in the way that he was going to sort of

0:36:56.480 --> 0:37:00.800
<v Speaker 1>deploy that influence. J B. Walk us through what we

0:37:00.840 --> 0:37:03.480
<v Speaker 1>can expect in this series. What do we learn along

0:37:03.520 --> 0:37:07.520
<v Speaker 1>the way about the man, about his business about the

0:37:07.520 --> 0:37:11.160
<v Speaker 1>controversies as well. He was an eccentric, Silicon Valley kind

0:37:11.200 --> 0:37:17.239
<v Speaker 1>of guy, right, and he basically began he came to

0:37:17.360 --> 0:37:20.759
<v Speaker 1>our attention with the McAfee antivirus software program. And we

0:37:20.880 --> 0:37:24.759
<v Speaker 1>begin telling by telling that story, and it's it's very

0:37:24.800 --> 0:37:27.960
<v Speaker 1>striking because it is the journey of a man who

0:37:28.000 --> 0:37:30.799
<v Speaker 1>he goes around the world, he works as a computer programmer,

0:37:31.239 --> 0:37:34.080
<v Speaker 1>and then he winds up in Silicon Valley and he

0:37:34.520 --> 0:37:39.520
<v Speaker 1>basically stumbles along um this new technology that is evolving

0:37:39.640 --> 0:37:42.319
<v Speaker 1>that the rest of the world is still only just

0:37:42.600 --> 0:37:46.840
<v Speaker 1>learning about UM. What he does with it, the decisions

0:37:46.880 --> 0:37:51.839
<v Speaker 1>that he makes. He's impulsive, He's a very brilliant man,

0:37:52.160 --> 0:37:54.440
<v Speaker 1>but he's also he also has a lot of ego,

0:37:54.600 --> 0:37:58.960
<v Speaker 1>and he also enjoys the attention that comes from that.

0:37:59.560 --> 0:38:01.360
<v Speaker 1>There's a We spoke to a lot of people that

0:38:01.440 --> 0:38:05.200
<v Speaker 1>haven't spoken publicly before, and we uncovered a lot of

0:38:05.280 --> 0:38:11.040
<v Speaker 1>things that that he essentially fabricated or embellished over his lifetime.

0:38:12.239 --> 0:38:14.600
<v Speaker 1>Bloomberg's Jamie Tara Bay, thank you so much, and you

0:38:14.600 --> 0:38:17.400
<v Speaker 1>can go and listen to the podcast. The first episode

0:38:17.400 --> 0:38:19.799
<v Speaker 1>on the early days of John McAfee's career and the

0:38:19.840 --> 0:38:23.840
<v Speaker 1>first Warning Signs is out today. Now that does it

0:38:23.920 --> 0:38:26.680
<v Speaker 1>for this edition of Bloomberg Technology. Don't forget tune in

0:38:26.719 --> 0:38:31.720
<v Speaker 1>tomorrow Bloomberg's Technology Twitter spaces every Friday, twelve pm Eastern

0:38:32.040 --> 0:38:35.839
<v Speaker 1>nine and San Francisco. We may have another special guest

0:38:35.880 --> 0:38:39.279
<v Speaker 1>that wrapped this week's news. This is Bloomberg