WEBVTT - JD Vance Bashes Europe, Musk Factories' Undocumented Workers

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from the heart of

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<v Speaker 1>where innovation, money and power collide in Silicon Valley and beyond.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>Live from New York.

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<v Speaker 3>I'm Tim Stenoveek and I'm Jackie Devalas in San Francisco.

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<v Speaker 3>This is Bloomberg Technology Now coming up. US President jd

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<v Speaker 3>Vance blasts Europe, accusing the region's leaders of undermining democratic

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<v Speaker 3>values and taking aim at the blocks attempt to regulate

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<v Speaker 3>hate speech and misinformation in media online. Plus, we are

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<v Speaker 3>joined by the CEO of Data bricks on the company's

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<v Speaker 3>AI focused partnership with SAP and a look at Elon

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<v Speaker 3>Musk's empire and how some of his companies hired undocumented

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<v Speaker 3>workers to build factories. Let's also take a look at

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<v Speaker 3>those shares of Meta they're up on the day and

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<v Speaker 3>this as the company is pushing into augmented reality NAI

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<v Speaker 3>and has identified its next big bet, AI powered humanoid robots.

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<v Speaker 3>Let's get more on this with Bloomberg's Mark.

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<v Speaker 4>German, who joins us now.

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<v Speaker 3>Mark, humanoid robots sound like something out of a sci

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<v Speaker 3>fi movie. What is Meta's vision for this venture? Here

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<v Speaker 3>and how much are they spending to do it?

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<v Speaker 5>So Meta wants to own this still nascent humanoid market. Right,

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<v Speaker 5>These are home robots that can do chores for you,

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<v Speaker 5>maybe fold laundry, carry a glass of water, bring something

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<v Speaker 5>for you up the stairs. You've seen Tesla get into

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<v Speaker 5>this game with optimists, We've seen Boston Dynamics with Spot.

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<v Speaker 5>Other companies like Apple and Google Deep Mind or making

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<v Speaker 5>investments here. But Meta wants to be the android or

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<v Speaker 5>qualcom of the humanoid industry, empower the underpinnings, the software,

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<v Speaker 5>the hardware, the artificial intelligence, the sensor stacked the compute

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<v Speaker 5>for the whole industry. So they're talking to several partners,

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<v Speaker 5>including Unitry. They're talking to a company called Figure Ai,

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<v Speaker 5>and they want to power this. And today they're starting

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<v Speaker 5>up a new division run by the former CEO of

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<v Speaker 5>GM's Crews, Mark Whitten. They're going to hire about one

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<v Speaker 5>hundred people for their robotics field and their plan is

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<v Speaker 5>to try to own this market and eventually maybe even

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<v Speaker 5>make a humanoid robot of their own.

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<v Speaker 2>Mark is the idea here that they make money on

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<v Speaker 2>the hardware, the software. At the end of the day,

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<v Speaker 2>how is this a company How does this help the

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<v Speaker 2>company make more money selling US ads?

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<v Speaker 5>I mean, Meta is investing billions of dollars in artificial

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<v Speaker 5>intelligence and augmented reality, and those are two core technologies

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<v Speaker 5>that are also useful in humanoid robots. Right, this technology

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<v Speaker 5>could be applied to humanoids. They're spending sixty five billion

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<v Speaker 5>dollar on R and D investments across twenty twenty five,

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<v Speaker 5>so a portion of that will now go to humanoid robots.

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<v Speaker 5>And how they can make money from this one day

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<v Speaker 5>obviously is selling it to consumers, but sooner they can

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<v Speaker 5>make money on becoming the platform right and licensing their

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<v Speaker 5>technology parts of it open source to third party partners.

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<v Speaker 6>Right.

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<v Speaker 5>Meta believes that the hardware stacks are pretty well done

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<v Speaker 5>right now by the third party humanoid manufacturers.

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<v Speaker 7>Right.

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<v Speaker 5>Where they see a step down is in the AI

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<v Speaker 5>and the software, and they believe with Loma they can.

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<v Speaker 7>Fill that gap.

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<v Speaker 4>Mark.

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<v Speaker 3>What has the company learned from its reality labs, prior

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<v Speaker 3>ventures and headsets for example? What does it plan to

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<v Speaker 3>do differently this time around with humanoid robots?

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<v Speaker 5>Well, I don't think they're going to do much differently

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<v Speaker 5>right other than I think they're starting to hire a

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<v Speaker 5>little bit more slowly than they have with the augmented

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<v Speaker 5>reality metaverse push.

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<v Speaker 8>Right.

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<v Speaker 5>So they're hiring about one hundred people this year, right,

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<v Speaker 5>That seems like small potatoes compared to the number of

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<v Speaker 5>people they hired at the height of COVID, at the

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<v Speaker 5>height of building out the metaverse and mixed reality.

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<v Speaker 7>Right.

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<v Speaker 5>So they're going to go a little bit more slowly here,

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<v Speaker 5>maybe invest a little bit less money at the get go,

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<v Speaker 5>but I think their ambition is still the same.

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<v Speaker 7>What is that, Moonshaw?

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<v Speaker 5>What is that long term area that we can own

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<v Speaker 5>as a company.

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<v Speaker 2>Bloomberg's Mark German and joining us out there in Los Angeles. Mark,

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<v Speaker 2>always good to see you. Congratulations on this scoop as

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<v Speaker 2>well well. Earlier today we heard from Vice President JD

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<v Speaker 2>Vance who spoke at the Munich Security Conference. Take a

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<v Speaker 2>listen to what he had to say.

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<v Speaker 9>The threat that I worry the most about visa the

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<v Speaker 9>Europe is not Russia, it's not China, it's not any

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<v Speaker 9>other external actor.

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<v Speaker 7>And what I worry about is.

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<v Speaker 9>The threat from within the retreat of Europe from some

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<v Speaker 9>of its most fundamental values, values shared with the United

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<v Speaker 9>States of America.

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<v Speaker 2>Van's called out Europe's regulation of big tech, saying it's

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<v Speaker 2>out of control and harming free speech. Van cited incidents

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<v Speaker 2>from Germany to Sweden to the UK of what might

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<v Speaker 2>be called woke policies as evidence of how Europe has

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<v Speaker 2>lost its way. Bloomberg's Mike Shepherd joins us now to

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<v Speaker 2>discuss Mike, how did this message? How did this speech

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<v Speaker 2>land with the audience in Munich?

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<v Speaker 10>Well, it, Philip with flat because when you consider the

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<v Speaker 10>context of the Munich Security Conference, you have to think

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<v Speaker 10>about what's happened earlier this week we saw JD. Vance's boss,

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<v Speaker 10>President Donald Trump make this sudden outreach to Vladimir Putin

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<v Speaker 10>and Russia to try to negotiate an end to the

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<v Speaker 10>Ukraine War. And Ukraine really did not come up very

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<v Speaker 10>much in the speech at all from Vance, and overall

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<v Speaker 10>it was an elbows out address. He began his remarks

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<v Speaker 10>by saying basically that there is a new sheriff in town,

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<v Speaker 10>and he really tried to suggest that Europe need to

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<v Speaker 10>fall much more into line with his and Donald Trump's

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<v Speaker 10>brand of politics, especially when it comes to the tech

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<v Speaker 10>industry and regulation of online content and regulation of AI.

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<v Speaker 10>There's a thread between the remarks we heard today in

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<v Speaker 10>Munich and what he said earlier this week in Paris

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<v Speaker 10>where he addressed the artificial intelligence summit convened by French

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<v Speaker 10>President Manuel mccrom. The idea from Vance there was to

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<v Speaker 10>talk about overregulation of that sector too and say that

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<v Speaker 10>that is stifling innovation. But again he also brought up

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<v Speaker 10>this whole question of moderation and the risk of censorship

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<v Speaker 10>through artificial intelligence.

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<v Speaker 3>Mike Vice President Vance also seemed to suggest that the

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<v Speaker 3>annulment of the Romanian election in December was somehow uncalled for,

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<v Speaker 3>despite that there was evidence of Russian interference.

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<v Speaker 4>How did those commons land well?

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<v Speaker 10>Again, this is another remark that he made during his appearance.

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<v Speaker 10>It really did not sit well with the audience, especially

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<v Speaker 10>the Romanian delegation. There's ample evidence that Russia had tried

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<v Speaker 10>to interfere with the results, which led to a far

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<v Speaker 10>right candidate pulling off a surprising victory. And the concern

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<v Speaker 10>about Russian interference with and tampering with domestic affairs of

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<v Speaker 10>its closest neighbors is a constant concerning that we have

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<v Speaker 10>heard from Baltic officials that we have interviewed. You know,

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<v Speaker 10>I've spoken with the foreign ministers of Lithuania and Latvia

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<v Speaker 10>in the past year, and this is something very much

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<v Speaker 10>at top of mind, and they recognize the risk of

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<v Speaker 10>these kinds of interference operations. And it is a sensitive

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<v Speaker 10>point for Vance and the Republican Party too because dating

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<v Speaker 10>back to twenty sixteen, we saw Donald Trump's election somehow

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<v Speaker 10>tied to a Russian interference operation here as well. So

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<v Speaker 10>this is something he is trying to diminish. And don't forget,

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<v Speaker 10>Jade Vance is not just aiming this speech at the

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<v Speaker 10>audience Erah Munich. He has an audience back here in

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<v Speaker 10>the US that he's trying to satisfy, and that is

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<v Speaker 10>his allies, Donald Trump's allies, and they are looking for

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<v Speaker 10>him to have this really strong approach towards Europe. And

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<v Speaker 10>even if the speech didn't land well in the room there,

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<v Speaker 10>it very likely landed well with allies here who want

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<v Speaker 10>to see JD. Vance take this forceful role in propelling

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<v Speaker 10>the maga politics of Donald Trump for the future.

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<v Speaker 3>That's Bloomberg's Mike Shephard, appreciate you joining us. Shares of

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<v Speaker 3>Airbnb are surging today as the company posted an upbeat

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<v Speaker 3>forecast for the first three months of twenty twenty five,

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<v Speaker 3>citing continued strong demand following its holiday strength.

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<v Speaker 4>Now for more, Bloomberg's Natalie Lung joins us.

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<v Speaker 3>Now, Natalie, help us understand this because gigagonomy, peers, Lift

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<v Speaker 3>and Uber issued more muted forecasts. But what's driving Airbnb's

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<v Speaker 3>optimism here?

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<v Speaker 6>Yeah, they had a very good fourth quarter during the

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<v Speaker 6>holiday season where US airline carriers as well as online

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<v Speaker 6>travel peer Expedia also talked about, you know, strong international

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<v Speaker 6>travel and in particular, airbnbsaw acceleration of growth in all

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<v Speaker 6>of the regions that's operating in, including the US, where

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<v Speaker 6>there was some slowing demand last year, but it seems

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<v Speaker 6>like it's really back in the later part of the year.

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<v Speaker 5>Natalie.

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<v Speaker 2>What's going on with the company's experience as part of

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<v Speaker 2>the business and the investment that they talked about happening there?

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<v Speaker 6>Yeah, the company told us that they're going to be

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<v Speaker 6>spending two hundred million to a two hundred and fifty

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<v Speaker 6>million this year into new initiatives, including the relaunch of experiences.

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<v Speaker 6>The CEO talked a bit about how in the past

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<v Speaker 6>when they launched it, maybe havn't cross marketed products enough.

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<v Speaker 6>So let's say, when you're staying in staying in a

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<v Speaker 6>particular city that they don't push or promote their related

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<v Speaker 6>experience as much, and so the relaunch will be better

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<v Speaker 6>at that.

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<v Speaker 2>All right, Bloomberg's Natalie Lung, thanks so much for joining

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<v Speaker 2>us on Airbnb surging. Let's bring in Tiffany Wade, senior

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<v Speaker 2>portfolio manager at Columbia Threadnil Investments. They've got about six

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<v Speaker 2>hundred and forty five billion dollars in assets under management. Tiffany,

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<v Speaker 2>I want to start with Palo Alto Networks and get

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<v Speaker 2>your thoughts there, because we're seeing shares on a little

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<v Speaker 2>more than four percent as we speak. The company did

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<v Speaker 2>report disappointing earnings outlook, but for To net and Checkpoint

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<v Speaker 2>posted strong results. What's going on with Palo Alto.

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<v Speaker 11>I think across the cybersecurity space we are seeing pretty

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<v Speaker 11>strong trends. The last couple of quarters, we saw some

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<v Speaker 11>customer rationalization of spending. I think we're seeing that coming

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<v Speaker 11>to an end, and we're starting to see sales growth

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<v Speaker 11>pick up again. Palo Alto obviously down today, for the

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<v Speaker 11>most part, the metrics were pretty good that they reported

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<v Speaker 11>some of the key metrics that custo that investors look at,

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<v Speaker 11>recurring revenue was very strong in the quarter, and they

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<v Speaker 11>beat numbers for the most recent quarter that they provided. However,

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<v Speaker 11>free cash flow guidance looks like it's a little bit

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<v Speaker 11>second half loaded for the year, which I think is

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<v Speaker 11>disappointing some people. But I would say I think the

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<v Speaker 11>other important thing that we're positive on is that over

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<v Speaker 11>the last couple of quarters, Palo Alto was adopted a

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<v Speaker 11>platform approach to product sales, which seems to be resonating

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<v Speaker 11>with customers, and I think we saw more evidence of

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<v Speaker 11>that this quarter, and this helps customers consolidate spending, which

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<v Speaker 11>is a trend that we've seen for the last couple

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<v Speaker 11>of quarters. But I also think for the longer term,

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<v Speaker 11>the trend of increasing cyber threats is not slowing down,

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<v Speaker 11>and Palo Alto will play an important role in helping

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<v Speaker 11>their companies and their customers secure their data and also

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<v Speaker 11>their AI models, because we are seeing companies face traditional

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<v Speaker 11>security threats such as data breaches, but new threats driven

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<v Speaker 11>by AI, such as more sophisticated threats or enhanced security

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<v Speaker 11>threats that are designed to disrupt output for an AI model.

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<v Speaker 3>Tiffany, let's stick with AI in particular, some of the

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<v Speaker 3>big tech giants that have made some pretty wide comments

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<v Speaker 3>about infrastructure, R and D talent investments. How discerning our

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<v Speaker 3>investors when it comes to this kind of spend. Do

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<v Speaker 3>they care where it's going, especially now off the news

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<v Speaker 3>that Meta is building a humanoid robot, which is surely

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<v Speaker 3>to take quite a bit of investment there.

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<v Speaker 11>Yeah, I think investors are definitely keeping a very close

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<v Speaker 11>eye on the amount of spending that the large companies

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<v Speaker 11>like the hyperscalers are putting into AI, and over the

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<v Speaker 11>course of the next couple quarters, we're going to want

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<v Speaker 11>to see returns on those investments. For the cloud providers, specifically,

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<v Speaker 11>they're spending a significant amount of CAPEX in investing in

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<v Speaker 11>AI processing capacity. I think in order to stay ahead

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<v Speaker 11>of trends. Amazon's CEO Jeff Bezos said recently that he

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<v Speaker 11>thinks that we'll see a world where virtually every app

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<v Speaker 11>has generative AI in it, and they need to invest

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<v Speaker 11>to stay ahead of this. So the cloud providers are

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<v Speaker 11>offering a variety of AI models which are pre trained

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<v Speaker 11>for use cases, but they also help customers tune a

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<v Speaker 11>model or adapted to specific needs. And they're also offering

0:12:52.960 --> 0:12:56.720
<v Speaker 11>tools and services like secure data storage and data management

0:12:57.120 --> 0:12:59.679
<v Speaker 11>that make it easier for their customers to handle the

0:12:59.760 --> 0:13:02.320
<v Speaker 11>large data sets required for AI models.

0:13:02.840 --> 0:13:03.720
<v Speaker 7>And I think that all.

0:13:03.640 --> 0:13:07.160
<v Speaker 11>Of these services should see additional demand with faster adoption

0:13:07.360 --> 0:13:10.040
<v Speaker 11>of AI. And I think what we'll see is these

0:13:10.080 --> 0:13:13.000
<v Speaker 11>companies are becoming kind of the toll roads for AI,

0:13:13.040 --> 0:13:17.360
<v Speaker 11>where they're supplying the cloud, the tools some of the developers,

0:13:17.440 --> 0:13:21.080
<v Speaker 11>and the processing capacity that their customers need to enable

0:13:21.120 --> 0:13:23.360
<v Speaker 11>other companies to develop and deploy AI.

0:13:24.440 --> 0:13:27.080
<v Speaker 3>We've also seen some comments coming from Washington that the

0:13:27.120 --> 0:13:30.280
<v Speaker 3>government plans to be more supportive when it comes to

0:13:30.320 --> 0:13:34.439
<v Speaker 3>investments in artificial intelligence. How much of that initial enthusiasm

0:13:34.440 --> 0:13:38.080
<v Speaker 3>from President Trump's Stargate venture being announced has worn off

0:13:38.080 --> 0:13:38.520
<v Speaker 3>by now?

0:13:40.760 --> 0:13:44.000
<v Speaker 11>I think that that's probably the Stargate venture is a

0:13:44.040 --> 0:13:46.640
<v Speaker 11>flashy announcement, but I think it's more of the same

0:13:46.679 --> 0:13:49.240
<v Speaker 11>of what we're seeing. There was already a significant amount

0:13:49.280 --> 0:13:55.400
<v Speaker 11>of capital investment going into infrastructure spending. Formalizing announcements with

0:13:55.520 --> 0:13:59.680
<v Speaker 11>multiple companies investing is a great news story, and maybe

0:14:00.400 --> 0:14:01.840
<v Speaker 11>some of the spending, but I think a lot of

0:14:01.840 --> 0:14:04.080
<v Speaker 11>the spending was going to happen anyways over the next

0:14:04.080 --> 0:14:06.280
<v Speaker 11>three to four years and over the next decade.

0:14:06.640 --> 0:14:10.560
<v Speaker 2>Are you not at all concerned about CAPEX spending from

0:14:10.600 --> 0:14:15.120
<v Speaker 2>the hyperscalers from any members of the mag seven being

0:14:15.160 --> 0:14:16.600
<v Speaker 2>too much? Are you overspending?

0:14:18.360 --> 0:14:20.680
<v Speaker 11>I don't think they're overspending right now. A lot of

0:14:20.680 --> 0:14:23.520
<v Speaker 11>the spending from the mag seven companies is going to

0:14:23.560 --> 0:14:26.480
<v Speaker 11>their own use cases where they're actually seeing a return

0:14:26.520 --> 0:14:30.560
<v Speaker 11>on those investments in terms of better advertising models or

0:14:30.720 --> 0:14:34.920
<v Speaker 11>better offerings to customers. But a lot of the spending

0:14:35.000 --> 0:14:37.920
<v Speaker 11>is also going to support their customers who are trying

0:14:37.920 --> 0:14:41.400
<v Speaker 11>to develop AI tools that they're going to sell in

0:14:41.440 --> 0:14:44.320
<v Speaker 11>the future. So I don't think that the I wouldn't

0:14:44.320 --> 0:14:47.400
<v Speaker 11>call it overspending at this point. And I do think

0:14:47.480 --> 0:14:50.440
<v Speaker 11>that the adoption curve for AI is probably going to

0:14:50.480 --> 0:14:53.080
<v Speaker 11>pick up very significantly from here, as we do see

0:14:53.120 --> 0:14:57.040
<v Speaker 11>costs coming down very significantly, and that's going to fuel

0:14:57.080 --> 0:15:00.000
<v Speaker 11>more demand for the services that the cloud providers are

0:15:00.040 --> 0:15:00.640
<v Speaker 11>are providing.

0:15:00.880 --> 0:15:02.720
<v Speaker 2>Well, speaking of costs coming down, the news that we

0:15:02.800 --> 0:15:05.080
<v Speaker 2>got from deep Seek a little over two weeks ago

0:15:05.160 --> 0:15:08.080
<v Speaker 2>or three weeks ago at this point, does that mean that,

0:15:08.440 --> 0:15:13.680
<v Speaker 2>indeed these companies have become more efficient when they're training ms,

0:15:13.800 --> 0:15:16.320
<v Speaker 2>for example, that they won't need all the CAPEX that's

0:15:16.320 --> 0:15:16.960
<v Speaker 2>been invested.

0:15:18.680 --> 0:15:21.280
<v Speaker 11>That's definitely a concern in the market, and you saw

0:15:21.280 --> 0:15:23.680
<v Speaker 11>that in the Monday after the deep Seek R one

0:15:23.760 --> 0:15:29.080
<v Speaker 11>model announcement. I don't think that we're going to I

0:15:29.120 --> 0:15:32.160
<v Speaker 11>think what we're seeing is that the deep Seak announcement

0:15:32.240 --> 0:15:37.520
<v Speaker 11>was really highlighted the efficiency of model development already. So

0:15:37.840 --> 0:15:41.680
<v Speaker 11>costs for model development from the established US players like

0:15:41.720 --> 0:15:44.760
<v Speaker 11>open ai or Anthropic have been coming down almost as

0:15:44.840 --> 0:15:48.440
<v Speaker 11>quickly as we saw in the deep Seek model. So

0:15:48.480 --> 0:15:51.640
<v Speaker 11>I think it's really highlighted how efficient the models are becoming,

0:15:51.720 --> 0:15:56.320
<v Speaker 11>how fast the technology improvement is. And if we need

0:15:56.400 --> 0:16:03.520
<v Speaker 11>less processing power per computation or for inferencing instance, I

0:16:03.560 --> 0:16:06.720
<v Speaker 11>don't think that that leads to a lesser demand for

0:16:06.800 --> 0:16:09.880
<v Speaker 11>processing capacity. I think that means the adoption picks up faster.

0:16:11.080 --> 0:16:12.160
<v Speaker 7>So if you think.

0:16:12.000 --> 0:16:16.560
<v Speaker 11>About the adoption of cell phones, as they got cheaper,

0:16:16.720 --> 0:16:19.920
<v Speaker 11>more people bought them, you didn't end up needing to

0:16:19.960 --> 0:16:20.840
<v Speaker 11>make less cell phones.

0:16:21.760 --> 0:16:25.120
<v Speaker 3>That's Tiffani Wade from Columbia Thread Needle Investments, thanks for

0:16:25.200 --> 0:16:25.760
<v Speaker 3>joining us.

0:16:26.240 --> 0:16:27.160
<v Speaker 4>Coming up will be.

0:16:27.200 --> 0:16:30.240
<v Speaker 3>Joined by the CEO of AI startup Times on their

0:16:30.280 --> 0:16:33.960
<v Speaker 3>big funding round. We're also watching shares of draft kings

0:16:34.200 --> 0:16:37.800
<v Speaker 3>this as the Boston based company reported fourth quarter earnings

0:16:37.840 --> 0:16:41.800
<v Speaker 3>that eat expectations. Also boosted its sales guidance for the

0:16:41.840 --> 0:16:45.240
<v Speaker 3>current year to at least six point three billion dollars,

0:16:45.600 --> 0:16:48.720
<v Speaker 3>in the sign that the company is overcoming concerns about

0:16:48.720 --> 0:16:52.600
<v Speaker 3>a tough market for sports betting operators. This is Bloomberg

0:17:10.400 --> 0:17:13.560
<v Speaker 3>on today's AI and Action. We're looking at AI software

0:17:13.640 --> 0:17:17.400
<v Speaker 3>startup times. After Goldman Sachs Growth Equity Union led at

0:17:17.400 --> 0:17:20.600
<v Speaker 3>one hundred and twenty five million dollar funding round for

0:17:20.640 --> 0:17:23.919
<v Speaker 3>the company at one point three billion one point one

0:17:23.920 --> 0:17:26.960
<v Speaker 3>to three billion dollar valuation. Let's bring in CEO Owen

0:17:27.200 --> 0:17:31.320
<v Speaker 3>Henshee Owen, Welcome to the Unicorn club. How does it

0:17:31.359 --> 0:17:34.320
<v Speaker 3>feel to finally reach this smilestone and how do you

0:17:34.359 --> 0:17:35.640
<v Speaker 3>plan to put this money.

0:17:35.440 --> 0:17:38.840
<v Speaker 12>To use f person foremost, Jackie, thank you for having me.

0:17:38.840 --> 0:17:42.400
<v Speaker 12>Happy Valentine's Day. Yeah, it's a great question. We're really

0:17:42.480 --> 0:17:45.720
<v Speaker 12>proud and excited to have raised this capital. I think

0:17:45.760 --> 0:17:48.880
<v Speaker 12>where you'll see us invest is in the areas where

0:17:48.880 --> 0:17:51.960
<v Speaker 12>we've seen kind of outsized traction over the last eighteen months.

0:17:52.280 --> 0:17:54.280
<v Speaker 12>So as a startup, we've been around for about seven

0:17:54.359 --> 0:17:56.240
<v Speaker 12>years now. What it's really in the last kind of

0:17:56.280 --> 0:17:59.480
<v Speaker 12>eighteen months where we've experienced a lot of accelerated growth

0:18:00.200 --> 0:18:03.480
<v Speaker 12>as we brought these new AI capabilities to our customers.

0:18:03.800 --> 0:18:05.879
<v Speaker 12>And so we'll continue to invest in R and D.

0:18:06.119 --> 0:18:09.040
<v Speaker 12>We'll hire about one hundred people this year and that

0:18:09.040 --> 0:18:11.199
<v Speaker 12>will be all to support the growth and demand that

0:18:11.240 --> 0:18:15.200
<v Speaker 12>we're seeing. We're now doing about a billion automated actions

0:18:15.400 --> 0:18:18.399
<v Speaker 12>on behalf of our customers every single week, and we

0:18:18.480 --> 0:18:20.760
<v Speaker 12>expect that growth to accelerate if anything.

0:18:21.200 --> 0:18:23.080
<v Speaker 2>Oh and as Jackie mentioned, one hundred and twenty five

0:18:23.119 --> 0:18:26.639
<v Speaker 2>million dollar funding round, it increases the valuation by eighty percent,

0:18:26.800 --> 0:18:30.880
<v Speaker 2>so certainly a big round when it comes to your company.

0:18:31.200 --> 0:18:33.240
<v Speaker 2>I'm trying to get an understanding for how difficult it

0:18:33.359 --> 0:18:35.560
<v Speaker 2>was to raise money in this environment. How long did

0:18:35.600 --> 0:18:35.880
<v Speaker 2>it take?

0:18:36.000 --> 0:18:36.480
<v Speaker 7>Was it easy?

0:18:36.560 --> 0:18:37.080
<v Speaker 2>Was it tough?

0:18:38.680 --> 0:18:41.520
<v Speaker 12>I would say it's never easy, you know, raising capital,

0:18:41.560 --> 0:18:45.359
<v Speaker 12>regardless of the markets is never easy. I would say

0:18:45.440 --> 0:18:48.280
<v Speaker 12>that the reason we were able to raise this round,

0:18:48.400 --> 0:18:51.719
<v Speaker 12>and it's only nine months since our previous fundraise, was

0:18:51.920 --> 0:18:54.000
<v Speaker 12>just the success we've had in the market over the

0:18:54.080 --> 0:18:56.320
<v Speaker 12>last twelve months. And so as I say, and you know,

0:18:56.400 --> 0:18:59.880
<v Speaker 12>we've increased the number of automated actions, we're performing ten

0:19:00.560 --> 0:19:03.200
<v Speaker 12>in eighty months. We've grown our active users by about

0:19:03.200 --> 0:19:05.840
<v Speaker 12>two hundred and fifty percent in the last twelve months.

0:19:06.000 --> 0:19:08.320
<v Speaker 12>And so when you're kind of posting those numbers and

0:19:08.359 --> 0:19:11.199
<v Speaker 12>you're adding the level of value we are to our customers,

0:19:11.320 --> 0:19:14.080
<v Speaker 12>it tends to attract a lot of investor attention. And

0:19:14.160 --> 0:19:16.640
<v Speaker 12>so we find that our customers and the customer love

0:19:16.720 --> 0:19:19.240
<v Speaker 12>that we generate, that's really the reason we've been able

0:19:19.240 --> 0:19:20.640
<v Speaker 12>to raise at this kind of valuation.

0:19:21.640 --> 0:19:24.000
<v Speaker 3>Oh and let's talk about some of those customers, because

0:19:24.040 --> 0:19:26.680
<v Speaker 3>a lot of European startups kind of get a bad

0:19:26.880 --> 0:19:29.200
<v Speaker 3>rap for not being kind of the big heavy hitters

0:19:29.240 --> 0:19:31.720
<v Speaker 3>that you see coming out of the US and Silicon Valley.

0:19:32.080 --> 0:19:34.560
<v Speaker 3>Where is your customer base coming from?

0:19:35.640 --> 0:19:36.600
<v Speaker 7>Yeah, it's a great question.

0:19:36.680 --> 0:19:39.280
<v Speaker 12>So although we're headquartered here in Dublin, we also have

0:19:39.320 --> 0:19:42.879
<v Speaker 12>offices in San Francisco, Boston, and in Australia, and so

0:19:42.960 --> 0:19:46.639
<v Speaker 12>we very much consider ourselves a global company. About seventy

0:19:46.680 --> 0:19:49.680
<v Speaker 12>five percent of our customers are in North America and Canada.

0:19:49.720 --> 0:19:52.199
<v Speaker 12>We've got about twenty five percent in Europe. But it's

0:19:52.240 --> 0:19:55.640
<v Speaker 12>across a variety of different segments, from commercial to enterprise,

0:19:55.760 --> 0:20:00.320
<v Speaker 12>to fed to strategic. I would say that the their

0:20:00.480 --> 0:20:02.880
<v Speaker 12>initial sweet spot for talents was in those high grow

0:20:02.960 --> 0:20:06.760
<v Speaker 12>software companies so coin based, data Break, Snowflake. But since

0:20:06.760 --> 0:20:08.880
<v Speaker 12>then we've expanded a lot into your kind of more

0:20:08.920 --> 0:20:13.119
<v Speaker 12>traditional industries confectionery like Mars, but also in fed and

0:20:13.160 --> 0:20:14.040
<v Speaker 12>strategic as well.

0:20:15.560 --> 0:20:19.080
<v Speaker 3>We're expecting a much friendlier federal Trade Commission here in

0:20:19.119 --> 0:20:22.399
<v Speaker 3>the United States and something that might open up the

0:20:22.480 --> 0:20:25.359
<v Speaker 3>doors to more m and A. You operate in a

0:20:25.400 --> 0:20:28.119
<v Speaker 3>space that could potentially see some of that uptick. Have

0:20:28.200 --> 0:20:30.040
<v Speaker 3>you thought about how far you want to take this?

0:20:30.400 --> 0:20:32.520
<v Speaker 3>Do you see yourself as a public company or perhaps

0:20:32.560 --> 0:20:33.520
<v Speaker 3>sewing down the line.

0:20:34.760 --> 0:20:36.080
<v Speaker 7>Yeah, it's a great question.

0:20:36.280 --> 0:20:38.560
<v Speaker 12>I think what we love to do as a company,

0:20:38.720 --> 0:20:42.080
<v Speaker 12>honestly is build product that our customers love, make our

0:20:42.119 --> 0:20:45.639
<v Speaker 12>customers outrageously successful. And that's what we're going to be

0:20:45.680 --> 0:20:47.600
<v Speaker 12>focused on for the next kind of like short and

0:20:47.760 --> 0:20:50.600
<v Speaker 12>medium term. And I think if we do that, and

0:20:50.640 --> 0:20:53.520
<v Speaker 12>then I think we'll have optionality towards the outcome. But

0:20:53.640 --> 0:20:56.080
<v Speaker 12>right now, we're heads down focused on building a great product.

0:20:57.640 --> 0:21:01.240
<v Speaker 2>Owen Henchy, time CEO, joining us from Bublin this afternoon.

0:21:01.280 --> 0:21:03.560
<v Speaker 2>Thank you so much for joining us. To appreciate it.

0:21:12.240 --> 0:21:14.920
<v Speaker 2>Welcome back to Bloomberg Technology. I'm Jim Stenoviek in.

0:21:14.920 --> 0:21:19.280
<v Speaker 3>New York and I'm Jackie Devalis in San Francisco. SAP

0:21:19.440 --> 0:21:22.960
<v Speaker 3>and Data Bricks are launching a new product combining SAP's

0:21:23.000 --> 0:21:27.200
<v Speaker 3>business data with data Bricks AI platform for more. Ali Gotseed,

0:21:27.359 --> 0:21:30.440
<v Speaker 3>CEO of Data Bricks, joined us. Now, Ali, you're going

0:21:30.480 --> 0:21:33.320
<v Speaker 3>to invest two hundred and fifty million dollars. You say

0:21:33.320 --> 0:21:36.800
<v Speaker 3>you're expecting a billion dollars in revenue. Talk to us

0:21:36.840 --> 0:21:40.520
<v Speaker 3>about how this partnership is going to differentiate you from

0:21:40.520 --> 0:21:42.320
<v Speaker 3>what's already on the market.

0:21:43.520 --> 0:21:46.240
<v Speaker 13>Yeah, so this is you know, we've only had one

0:21:46.280 --> 0:21:48.760
<v Speaker 13>partnership this big, and that was ten years ago with Microsoft.

0:21:48.960 --> 0:21:50.359
<v Speaker 13>So we think this is going to be game tending

0:21:50.400 --> 0:21:53.280
<v Speaker 13>for the industry. So when we talk to our customers,

0:21:53.400 --> 0:21:55.000
<v Speaker 13>we say, oh, we have an amazing platform.

0:21:55.040 --> 0:21:57.719
<v Speaker 7>It's great. They always say, but what about the SAP data.

0:21:57.880 --> 0:22:01.160
<v Speaker 13>Because SAP's data is the most important data in the world.

0:22:01.240 --> 0:22:03.160
<v Speaker 7>It's what's powering all the leaders, all the.

0:22:03.119 --> 0:22:07.000
<v Speaker 13>Financial systems of over ninety percent of fourteen five hundred,

0:22:07.400 --> 0:22:09.320
<v Speaker 13>and this data has sort of been locked away and

0:22:09.320 --> 0:22:10.439
<v Speaker 13>people can't access it.

0:22:10.880 --> 0:22:13.840
<v Speaker 7>So what the partnership means is that anyone that goes

0:22:14.080 --> 0:22:14.600
<v Speaker 7>and now.

0:22:14.480 --> 0:22:17.560
<v Speaker 13>Buys SAP data backs from SAP, will get all this

0:22:17.680 --> 0:22:20.000
<v Speaker 13>data accessible right there and they can start building a

0:22:20.040 --> 0:22:23.199
<v Speaker 13>genetic systems AI and so on. So that's why we

0:22:23.200 --> 0:22:25.240
<v Speaker 13>saw bullish on it, and that's why we earmarked the

0:22:25.359 --> 0:22:27.760
<v Speaker 13>quarter a billion dollars, as you said, from our ten

0:22:27.880 --> 0:22:29.560
<v Speaker 13>billion dollar fundraise that we just did.

0:22:31.320 --> 0:22:34.520
<v Speaker 3>You know, another important partner of yours is Microsoft, and

0:22:34.600 --> 0:22:38.080
<v Speaker 3>it's increasingly becoming a competitor. It said that it's using

0:22:38.119 --> 0:22:42.040
<v Speaker 3>its products. It's fabric. It's going quickly. What's the pitch

0:22:42.160 --> 0:22:44.560
<v Speaker 3>to use data bricks rather than fabric.

0:22:46.160 --> 0:22:46.360
<v Speaker 8>Yeah.

0:22:46.400 --> 0:22:49.200
<v Speaker 13>Look, Microsoft's a great partner, but still remains a great partner.

0:22:49.240 --> 0:22:51.280
<v Speaker 13>They're actually investor in data bricks as well. So is

0:22:51.320 --> 0:22:53.840
<v Speaker 13>by the way, aws so is also a Google. But

0:22:53.880 --> 0:22:56.320
<v Speaker 13>there's competition. As you pointed out, they have sometimes their

0:22:56.359 --> 0:22:59.480
<v Speaker 13>own products. The great thing about SAP Data bricks is

0:22:59.480 --> 0:23:01.960
<v Speaker 13>that you have now all the SAP data in it

0:23:02.080 --> 0:23:04.359
<v Speaker 13>there and you won't find that in the other offerings,

0:23:04.359 --> 0:23:06.040
<v Speaker 13>So they don't the other offerings out there in the

0:23:06.080 --> 0:23:09.320
<v Speaker 13>market will not be there with all the business data

0:23:09.400 --> 0:23:12.320
<v Speaker 13>that SAP has, and it's been enriched with all the semantics.

0:23:12.359 --> 0:23:15.120
<v Speaker 7>So what I mean by that is this is not

0:23:15.280 --> 0:23:16.240
<v Speaker 7>just data on the.

0:23:16.119 --> 0:23:19.320
<v Speaker 13>Financial ledger of a company, it's also the travel system.

0:23:19.400 --> 0:23:20.760
<v Speaker 7>Because SAP has.

0:23:21.200 --> 0:23:23.800
<v Speaker 13>You know, a product called concur, they have success factors

0:23:23.800 --> 0:23:26.919
<v Speaker 13>for HR, they have a REVA for procurement. All this

0:23:27.040 --> 0:23:29.840
<v Speaker 13>data has been combined and enriched and it's just available

0:23:29.840 --> 0:23:32.600
<v Speaker 13>in spe Data bricks. But that's the big difference between

0:23:32.760 --> 0:23:35.600
<v Speaker 13>using SAP Data Bricks and using any other data platform

0:23:35.600 --> 0:23:36.040
<v Speaker 13>out there.

0:23:36.640 --> 0:23:40.240
<v Speaker 2>Ali, there's been a huge conversation lately around inference cost

0:23:40.320 --> 0:23:43.960
<v Speaker 2>and I'm wondering, if you've seen inference costs go down,

0:23:44.320 --> 0:23:46.400
<v Speaker 2>what does it mean for data bricks.

0:23:47.480 --> 0:23:50.560
<v Speaker 13>Yeah, inference cost has been going down all the time

0:23:50.800 --> 0:23:52.240
<v Speaker 13>in the last few years, and we have a whole

0:23:52.240 --> 0:23:56.320
<v Speaker 13>research team dedicated to just optimizing the software portion of that.

0:23:56.400 --> 0:23:58.959
<v Speaker 13>There's of course a hardware portion. We don't build hardware,

0:23:59.119 --> 0:24:02.040
<v Speaker 13>but the software portion is actually significant. Two we're seeing

0:24:02.080 --> 0:24:04.000
<v Speaker 13>you know, two and a half to three x boost

0:24:04.520 --> 0:24:05.560
<v Speaker 13>just in the software.

0:24:05.760 --> 0:24:07.480
<v Speaker 7>What does it mean, Well, what it means is that

0:24:07.480 --> 0:24:09.360
<v Speaker 7>it's just much cheaper to.

0:24:09.320 --> 0:24:12.680
<v Speaker 13>Build applications on top of AI. You know, it's kind

0:24:12.680 --> 0:24:14.960
<v Speaker 13>of crazy if you think about if you zoom out,

0:24:15.480 --> 0:24:18.400
<v Speaker 13>what it costs costs less than a dollar to produce

0:24:18.440 --> 0:24:22.880
<v Speaker 13>a million orbs. That's basically three books. You can get

0:24:22.920 --> 0:24:25.879
<v Speaker 13>the AI to produce three novel books for you for

0:24:25.960 --> 0:24:28.479
<v Speaker 13>less than a dollar, So that's what you know, cheaper

0:24:28.480 --> 0:24:31.760
<v Speaker 13>inference means and just just unlocks all these applications on

0:24:31.840 --> 0:24:33.359
<v Speaker 13>pop So that's what we're excited about.

0:24:33.680 --> 0:24:35.760
<v Speaker 7>But for those applications, you need.

0:24:35.600 --> 0:24:38.359
<v Speaker 13>Special data and that's all that's going to matter. And

0:24:38.400 --> 0:24:40.920
<v Speaker 13>the enterprises have all the special data. So the question

0:24:41.080 --> 0:24:43.399
<v Speaker 13>is how do you combine that data AI with that

0:24:43.440 --> 0:24:45.320
<v Speaker 13>special data that they have, and then of course with

0:24:45.400 --> 0:24:47.920
<v Speaker 13>the inference so that you can build these AI applications.

0:24:48.280 --> 0:24:50.439
<v Speaker 2>Well, as we heard from Jackie, you recently closed this

0:24:50.520 --> 0:24:55.159
<v Speaker 2>fifteen billion dollar funding at popping sixty two billion dollar valuation.

0:24:55.840 --> 0:25:00.119
<v Speaker 2>Is that it for fundraising? Is that done?

0:25:00.359 --> 0:25:00.520
<v Speaker 7>Ah?

0:25:00.800 --> 0:25:03.919
<v Speaker 13>Never say never, you know, but it's a significant portant

0:25:03.920 --> 0:25:05.879
<v Speaker 13>that we've raised. Now, I think it's more important for

0:25:05.920 --> 0:25:10.000
<v Speaker 13>us to invest at wisely invested in AI talents, invested

0:25:10.359 --> 0:25:14.119
<v Speaker 13>in building AI systems, invested in goal to market, expanding

0:25:14.119 --> 0:25:17.679
<v Speaker 13>around the world, and we have significant business in Europe

0:25:17.880 --> 0:25:20.720
<v Speaker 13>and in Asia and Latin America, you know, so continuing

0:25:20.760 --> 0:25:22.639
<v Speaker 13>to expand. We're about eight thousand people we want to

0:25:22.680 --> 0:25:25.840
<v Speaker 13>grow very fast. We're still hiring, so that's more focused

0:25:25.880 --> 0:25:26.080
<v Speaker 13>on that.

0:25:26.320 --> 0:25:30.960
<v Speaker 3>But never say never, Ali, We're seeing some reporting coming

0:25:30.960 --> 0:25:33.359
<v Speaker 3>out of our colleagues here on the venture capital team

0:25:33.440 --> 0:25:36.800
<v Speaker 3>that late stage startups are actually kind of struggling to

0:25:36.880 --> 0:25:41.080
<v Speaker 3>get additional funding because of just this dry up in IPOs.

0:25:41.160 --> 0:25:44.080
<v Speaker 3>What's the future for Data Bricks? Is that coming down

0:25:44.119 --> 0:25:44.840
<v Speaker 3>the pike for you?

0:25:46.480 --> 0:25:48.480
<v Speaker 13>Well, I've said many many times we will be a

0:25:48.480 --> 0:25:51.439
<v Speaker 13>public company. There's no doubt about it. So it's not

0:25:51.480 --> 0:25:54.320
<v Speaker 13>a question of if, it's a question of when, you know.

0:25:54.359 --> 0:25:56.520
<v Speaker 13>But the thing is, we're not trying to time the market.

0:25:56.920 --> 0:25:58.880
<v Speaker 13>We're trying to win the market. So that's what we're

0:25:58.880 --> 0:26:00.959
<v Speaker 13>focusing on. We've raised all the funding, now we're going

0:26:01.000 --> 0:26:02.800
<v Speaker 13>to use it. We did this big partnership with SAP

0:26:02.840 --> 0:26:04.800
<v Speaker 13>where we can get all the most important data in

0:26:04.880 --> 0:26:07.280
<v Speaker 13>Data Bricks. Now we want to build AI for our

0:26:07.280 --> 0:26:09.639
<v Speaker 13>customers and make them successful. That's the focus. How do

0:26:09.680 --> 0:26:10.520
<v Speaker 13>we win this market?

0:26:11.480 --> 0:26:14.320
<v Speaker 3>What kind of milestone are you setting for yourself before

0:26:14.359 --> 0:26:16.760
<v Speaker 3>you actually get to the point where you tell investors

0:26:16.840 --> 0:26:18.720
<v Speaker 3>that you're ready to go public, that you're ready.

0:26:20.280 --> 0:26:22.359
<v Speaker 7>We are ready. We could press a button and we

0:26:22.400 --> 0:26:23.359
<v Speaker 7>would be public today.

0:26:23.720 --> 0:26:25.920
<v Speaker 13>It's really sort of a question of what's the priority

0:26:26.000 --> 0:26:27.920
<v Speaker 13>right now and how much benefit do we get out

0:26:27.920 --> 0:26:30.639
<v Speaker 13>of going public this fundraise that we just did, the

0:26:30.680 --> 0:26:32.560
<v Speaker 13>fifteen billion that you just referred to.

0:26:32.720 --> 0:26:36.760
<v Speaker 7>We're also using a large portion of that towards.

0:26:36.440 --> 0:26:39.240
<v Speaker 13>Liquidity for our employees, so you know, we're solving the

0:26:39.240 --> 0:26:43.320
<v Speaker 13>liquidity problem. We're solving investing in you know, our business,

0:26:43.400 --> 0:26:46.359
<v Speaker 13>in our products. So you know, there's not an extreme

0:26:46.440 --> 0:26:50.080
<v Speaker 13>sense of urgency. But we evaluate, you know, every day.

0:26:50.280 --> 0:26:52.280
<v Speaker 13>If it's in our interest, we will go. If not,

0:26:52.600 --> 0:26:55.280
<v Speaker 13>you know, we'll stay private. I do think my guess

0:26:55.440 --> 0:26:57.159
<v Speaker 13>is that we will be public, and it's not going

0:26:57.160 --> 0:26:59.000
<v Speaker 13>to be too far in the distant future.

0:26:59.080 --> 0:27:01.720
<v Speaker 2>How far in the distant future twenty twenty five, twenty

0:27:01.720 --> 0:27:03.000
<v Speaker 2>twenty six, what can you tell us?

0:27:04.280 --> 0:27:06.960
<v Speaker 13>Yeah, I mean I would say the earliest would be

0:27:07.040 --> 0:27:11.520
<v Speaker 13>probably this year, but you know, I think that's unlikely.

0:27:11.680 --> 0:27:13.199
<v Speaker 13>That's that's all I can say. And then, you know,

0:27:14.160 --> 0:27:15.720
<v Speaker 13>but I don't think this is like a five years

0:27:15.720 --> 0:27:16.120
<v Speaker 13>out thing.

0:27:16.600 --> 0:27:19.560
<v Speaker 2>But still, I just want to confirm the option to

0:27:19.640 --> 0:27:22.840
<v Speaker 2>raise more money before going public, if you need it

0:27:22.840 --> 0:27:23.720
<v Speaker 2>is still on the table.

0:27:25.320 --> 0:27:27.840
<v Speaker 13>I mean, look, when we did this fundraise. We weren't

0:27:27.840 --> 0:27:29.800
<v Speaker 13>sure we were there's going to be enough interest. In fact,

0:27:30.000 --> 0:27:31.960
<v Speaker 13>we were you know, maybe we set the price too

0:27:32.040 --> 0:27:33.800
<v Speaker 13>high and there's not going to be enough capital. That

0:27:33.840 --> 0:27:36.200
<v Speaker 13>actually happened to some other late stage companies that tried

0:27:36.200 --> 0:27:37.000
<v Speaker 13>this year or two ago.

0:27:37.240 --> 0:27:38.200
<v Speaker 7>So we're worried about that.

0:27:38.600 --> 0:27:41.000
<v Speaker 13>And we got twice the amount that we wanted to

0:27:41.040 --> 0:27:43.280
<v Speaker 13>raise in interest. You know, we got close to twenty

0:27:43.280 --> 0:27:46.600
<v Speaker 13>billion dollars of interest, and you know, our pro and

0:27:46.640 --> 0:27:49.720
<v Speaker 13>the problem was the investors kept calling me and saying,

0:27:50.040 --> 0:27:53.320
<v Speaker 13>please don't cut me back, let me allocate the full

0:27:53.359 --> 0:27:54.840
<v Speaker 13>amount that I want to put in, let me put

0:27:54.920 --> 0:27:56.960
<v Speaker 13>one billion, let me leave this round.

0:27:57.320 --> 0:28:01.640
<v Speaker 7>So the interest for AI and data is just insane.

0:28:01.720 --> 0:28:03.840
<v Speaker 13>I have never seen anything like it in you know,

0:28:04.400 --> 0:28:06.800
<v Speaker 13>the ten fifteen years I've been doing this. So there's

0:28:06.880 --> 0:28:08.720
<v Speaker 13>a lot of capital out there, but they want to

0:28:08.720 --> 0:28:11.040
<v Speaker 13>invest it towards AI. So you're right, if you're not

0:28:11.119 --> 0:28:14.000
<v Speaker 13>an AI then it might be a completely different story.

0:28:14.080 --> 0:28:16.200
<v Speaker 13>So it's sort of a tale of two different cities,

0:28:16.480 --> 0:28:19.000
<v Speaker 13>you know, the AI companies where there was seems to

0:28:19.000 --> 0:28:21.160
<v Speaker 13>be infinite amount of interest, and then a non AI

0:28:21.280 --> 0:28:22.280
<v Speaker 13>companies where you know.

0:28:22.240 --> 0:28:25.400
<v Speaker 7>There's like it's sort of not great. It stopped growing.

0:28:25.520 --> 0:28:28.600
<v Speaker 13>They don't want to invess, right you know, multiples are depressed,

0:28:28.680 --> 0:28:29.680
<v Speaker 13>so unfortunately it's like that.

0:28:29.960 --> 0:28:33.359
<v Speaker 2>Right now, Ali got Zi Data Bricks CEO. Good to

0:28:33.359 --> 0:28:36.240
<v Speaker 2>see Ali, Thanks so much for joining us. Well, you

0:28:36.320 --> 0:28:38.160
<v Speaker 2>heard Ali mentioned it's kind of this tale of two

0:28:38.200 --> 0:28:40.880
<v Speaker 2>different types of companies, those ones that are AI backed

0:28:40.920 --> 0:28:44.440
<v Speaker 2>and those ones that aren't VC backed. Unicorns, though some

0:28:44.600 --> 0:28:47.440
<v Speaker 2>reaching a tipping point. Over one thousand startups with a

0:28:47.560 --> 0:28:51.120
<v Speaker 2>one billion dollar valuation or higher are struggling to IPO

0:28:51.200 --> 0:28:55.440
<v Speaker 2>and raise funds for more. Bloomberg's Katie Roof joins us. Katie,

0:28:55.480 --> 0:28:58.280
<v Speaker 2>was that surprising to hear from Ali that they just

0:28:58.320 --> 0:29:01.920
<v Speaker 2>have like investors cla to invest more and more money

0:29:02.320 --> 0:29:04.480
<v Speaker 2>or does that make sense because of where they play

0:29:04.520 --> 0:29:05.120
<v Speaker 2>in the market.

0:29:06.440 --> 0:29:07.880
<v Speaker 4>Yeah, I wasn't surprised at all.

0:29:07.920 --> 0:29:10.720
<v Speaker 14>I was well aware that there's a lot of investor

0:29:11.200 --> 0:29:14.200
<v Speaker 14>interests in data bricks, but you know, they are in

0:29:14.240 --> 0:29:17.080
<v Speaker 14>a league of their own. There's a small number of

0:29:17.120 --> 0:29:20.800
<v Speaker 14>these unicorns that are able to raise a lot or

0:29:20.840 --> 0:29:23.120
<v Speaker 14>deck accords in their case, that are able to raise

0:29:23.120 --> 0:29:23.840
<v Speaker 14>a lot of money.

0:29:24.800 --> 0:29:26.280
<v Speaker 4>You know, there are over a.

0:29:26.320 --> 0:29:29.800
<v Speaker 14>Thousand unicorns, maybe over twelve hundred according to CB Insights,

0:29:30.200 --> 0:29:34.800
<v Speaker 14>and the vast majority, especially the ones that aren't AI, are.

0:29:35.120 --> 0:29:37.440
<v Speaker 7>Going through a tough spot.

0:29:37.960 --> 0:29:41.800
<v Speaker 14>According to data reviewed by Karta, about well fewer than

0:29:41.880 --> 0:29:44.840
<v Speaker 14>thirty percent of the unicorns have raised money in the

0:29:44.920 --> 0:29:48.480
<v Speaker 14>last few years, and almost half of those were down rounds,

0:29:48.960 --> 0:29:52.160
<v Speaker 14>which used to be, you know, something that you wouldn't

0:29:52.200 --> 0:29:55.000
<v Speaker 14>do in greener times.

0:29:55.960 --> 0:29:59.280
<v Speaker 3>Katie, what about Zoo's other startups that aren't in a

0:29:59.360 --> 0:30:02.200
<v Speaker 3>league of their own, What sorts of desperate measures are

0:30:02.200 --> 0:30:03.200
<v Speaker 3>they now resorting to.

0:30:04.600 --> 0:30:07.720
<v Speaker 14>So beyond the down rounds, we've seen other things like

0:30:08.080 --> 0:30:11.480
<v Speaker 14>reopening the last round, you know, quietly raising more money

0:30:11.480 --> 0:30:12.440
<v Speaker 14>at the same valuation.

0:30:12.640 --> 0:30:14.120
<v Speaker 4>But then sometimes.

0:30:13.720 --> 0:30:17.960
<v Speaker 14>More desperate things like pay to play rounds, where you

0:30:18.560 --> 0:30:22.560
<v Speaker 14>require investors to you know, pay more money to be

0:30:22.600 --> 0:30:26.640
<v Speaker 14>able to keep their existing stake. There's all sorts of

0:30:26.720 --> 0:30:30.520
<v Speaker 14>different ways that they're getting creative here. Some of them

0:30:30.520 --> 0:30:34.440
<v Speaker 14>are taking on pretty difficult terms. You know, much was

0:30:34.520 --> 0:30:37.480
<v Speaker 14>made of what service Titan did. They took some difficult

0:30:37.560 --> 0:30:39.800
<v Speaker 14>terms from TBG, although in the end they were able

0:30:39.840 --> 0:30:42.560
<v Speaker 14>to go public at you know, above their round. But

0:30:42.680 --> 0:30:45.560
<v Speaker 14>most of them aren't on track to go public. There

0:30:45.560 --> 0:30:47.880
<v Speaker 14>have been very few IPOs in the last few years,

0:30:47.880 --> 0:30:50.840
<v Speaker 14>and so the industry is quietly talking about what's been

0:30:50.920 --> 0:30:55.080
<v Speaker 14>known as what's become known as zombie unicorns. These unicorns

0:30:55.080 --> 0:30:57.760
<v Speaker 14>that are like still there because they have revenue, but

0:30:58.840 --> 0:31:01.719
<v Speaker 14>they can't go public and provide liquidity for their investors.

0:31:02.040 --> 0:31:04.160
<v Speaker 14>No one wants to acquire them at the price for

0:31:04.240 --> 0:31:08.400
<v Speaker 14>their last round, and they're just in a really difficult plot.

0:31:09.240 --> 0:31:12.560
<v Speaker 3>That's Bloomberg's Katie Riff, thanks for joining us. Coming up,

0:31:12.760 --> 0:31:16.880
<v Speaker 3>advertisers return to X. More on that story. Next, this

0:31:17.040 --> 0:31:36.680
<v Speaker 3>is Bloomberg. Social media platform X is seeing a resurgence

0:31:36.840 --> 0:31:40.720
<v Speaker 3>in advertising. The company's revenue jumped over forty percent in

0:31:40.760 --> 0:31:44.280
<v Speaker 3>December compared to a year ago. This as marketers rethink

0:31:44.320 --> 0:31:47.800
<v Speaker 3>their position with the platform as Elon Musk gains newfound

0:31:47.840 --> 0:31:51.160
<v Speaker 3>influence with the US government. More on this. Bloomberg's Kurt

0:31:51.200 --> 0:31:54.160
<v Speaker 3>Wagner joins us. Now, Kurt, how much of this has

0:31:54.240 --> 0:31:58.160
<v Speaker 3>to do with Elon's influence in Washington versus X getting

0:31:58.320 --> 0:32:01.080
<v Speaker 3>better as a platform for mark to be on.

0:32:02.560 --> 0:32:05.600
<v Speaker 8>Yeah, I think the influenced part from Elon as a

0:32:05.680 --> 0:32:08.000
<v Speaker 8>huge factor here, right, because I think if you look

0:32:08.040 --> 0:32:11.000
<v Speaker 8>at what X looks like today versus what it looked

0:32:11.040 --> 0:32:13.479
<v Speaker 8>like six months ago. I don't see a huge difference.

0:32:13.520 --> 0:32:15.720
<v Speaker 8>The marketers that I talk to don't necessarily see a

0:32:15.800 --> 0:32:18.400
<v Speaker 8>huge difference. What has changed is to point out Jackie

0:32:18.480 --> 0:32:21.440
<v Speaker 8>is of course Elon's role within the government, and also

0:32:21.480 --> 0:32:25.800
<v Speaker 8>the fact that X is now outsuing brands that aren't

0:32:25.840 --> 0:32:28.800
<v Speaker 8>advertising on the platform. Right, So, if you're a marketer today,

0:32:28.880 --> 0:32:31.520
<v Speaker 8>you're sitting there going, hey, is it worth spending some

0:32:31.560 --> 0:32:34.720
<v Speaker 8>money on this service or sort of getting in the

0:32:34.760 --> 0:32:38.320
<v Speaker 8>crosshairs of Elon Musk right now given his power, and

0:32:38.360 --> 0:32:40.960
<v Speaker 8>I think some brands are choosing you know that it's

0:32:41.000 --> 0:32:42.200
<v Speaker 8>the time to return for.

0:32:42.160 --> 0:32:44.400
<v Speaker 2>Them at the end of the day, though Kirk, does

0:32:44.440 --> 0:32:47.840
<v Speaker 2>it work? Does it work better than meta platforms? Instagram?

0:32:47.840 --> 0:32:49.160
<v Speaker 2>Does it work better than TikTok?

0:32:50.600 --> 0:32:52.840
<v Speaker 8>As far as advertising goes, I mean it has never

0:32:52.960 --> 0:32:55.720
<v Speaker 8>worked better. It's a different type of ad, right, So

0:32:56.520 --> 0:33:00.000
<v Speaker 8>usually with X or formerly with Twitter, you would be

0:33:00.080 --> 0:33:02.160
<v Speaker 8>doing what's called the brand ad, essentially, you know, the

0:33:02.200 --> 0:33:05.440
<v Speaker 8>digital version of a TV commercial type of thing, and

0:33:05.600 --> 0:33:07.480
<v Speaker 8>you know that could be great if you're going alongside

0:33:07.480 --> 0:33:09.600
<v Speaker 8>the super Bowl or the Grammys or some other major

0:33:09.680 --> 0:33:12.440
<v Speaker 8>news event. You're not really going to drive sales in

0:33:12.480 --> 0:33:14.600
<v Speaker 8>the way that you would on Google or Meta, and

0:33:14.680 --> 0:33:16.800
<v Speaker 8>so it's a different type of AD. It's never performed

0:33:16.840 --> 0:33:19.440
<v Speaker 8>at the same level as those other competitors, which is

0:33:19.480 --> 0:33:21.560
<v Speaker 8>one of the reasons why X and Twitter's business has

0:33:21.600 --> 0:33:24.600
<v Speaker 8>always been significantly smaller than those bigger players.

0:33:25.440 --> 0:33:27.560
<v Speaker 3>Kurt, Now, with that we're seeing this kind of improvement

0:33:27.600 --> 0:33:29.960
<v Speaker 3>on the platform, where does this leave X in the

0:33:30.120 --> 0:33:33.960
<v Speaker 3>broader array of businesses that Elon Musk oversees.

0:33:35.360 --> 0:33:37.880
<v Speaker 8>Yeah, I mean it's always been you know, the most

0:33:37.920 --> 0:33:41.680
<v Speaker 8>maybe culturally important of those, just given the speech factor, right,

0:33:41.720 --> 0:33:44.520
<v Speaker 8>given the fact that Elon's out here commenting on on

0:33:44.840 --> 0:33:47.440
<v Speaker 8>you know, politics and other things that are happening in

0:33:47.480 --> 0:33:49.760
<v Speaker 8>the world, it's still certainly going to be a much

0:33:49.840 --> 0:33:53.480
<v Speaker 8>smaller part of the business than or his empire excuse me,

0:33:53.480 --> 0:33:56.880
<v Speaker 8>than a Tesla SpaceX even XAI. Right, the valuation we're

0:33:56.880 --> 0:34:00.239
<v Speaker 8>seeing that XAI is raised AD is significantly higher than

0:34:00.400 --> 0:34:02.960
<v Speaker 8>X so business wise, it is still a smaller part

0:34:03.000 --> 0:34:06.120
<v Speaker 8>of his portfolio. But again, it's more of the cultural

0:34:06.160 --> 0:34:08.560
<v Speaker 8>and speech elements of this that I think give it

0:34:08.680 --> 0:34:11.000
<v Speaker 8>so much clout within his broader universe.

0:34:11.640 --> 0:34:14.759
<v Speaker 2>Bloomberg' Kurt Wagner to subscribe to the Bloomberg Tech In

0:34:14.840 --> 0:34:18.759
<v Speaker 2>Depth newsletter. Go to Bloomberg dot com slash newsletters. Well,

0:34:18.840 --> 0:34:22.520
<v Speaker 2>let's look elsewhere in Elon Musk's empire. Today's Big Take

0:34:22.600 --> 0:34:26.000
<v Speaker 2>looks at how Tesla and SpaceX both relied on work

0:34:26.040 --> 0:34:30.120
<v Speaker 2>by undocumented immigrants all the while, well, Elon A. Musk

0:34:30.200 --> 0:34:34.439
<v Speaker 2>advocated for a broader crackdout Bloomberg Sarah Fryar joins us

0:34:34.480 --> 0:34:36.640
<v Speaker 2>for more on this. As I mentioned, Sarah, it is

0:34:36.680 --> 0:34:40.880
<v Speaker 2>today's big take. Julia Loves investigation. What did she find?

0:34:40.960 --> 0:34:44.400
<v Speaker 2>What did the Bloomberg News team find about Musk's company's

0:34:44.440 --> 0:34:45.960
<v Speaker 2>reliance on undocumented labor.

0:34:47.120 --> 0:34:49.840
<v Speaker 15>Well, it's really quite stunning.

0:34:49.480 --> 0:34:52.279
<v Speaker 16>I think we are all used to the idea that

0:34:52.360 --> 0:34:56.040
<v Speaker 16>a lot of construction projects, a lot of agriculture projects,

0:34:56.320 --> 0:35:01.960
<v Speaker 16>a lot of cleaning projects, do you undocumented labor? What's

0:35:02.640 --> 0:35:06.480
<v Speaker 16>what's different here is evil and must proximity to that

0:35:06.680 --> 0:35:12.760
<v Speaker 16>issue and advocacy against undocumented immigrants, of working with Donald

0:35:12.800 --> 0:35:16.640
<v Speaker 16>Trump on policy in that area. Tweeting started posting on

0:35:16.880 --> 0:35:20.000
<v Speaker 16>Ked about it constantly. This is this is a huge

0:35:20.520 --> 0:35:25.200
<v Speaker 16>area of interest and concern for Musk, and yet Julia

0:35:25.280 --> 0:35:30.239
<v Speaker 16>Love spoke with several undocumented workers who have helped be

0:35:30.440 --> 0:35:35.680
<v Speaker 16>part of must expansion in Austin with his gigafactory and

0:35:35.719 --> 0:35:41.480
<v Speaker 16>with SpaceX. So what they have spoken about is whether

0:35:41.480 --> 0:35:47.120
<v Speaker 16>they're working on on facilities, on construction, on parts of

0:35:47.800 --> 0:35:53.640
<v Speaker 16>expanding and maintaining those factories. It has been a critical

0:35:53.680 --> 0:35:55.680
<v Speaker 16>part of the.

0:35:55.560 --> 0:35:59.920
<v Speaker 17>Workforce for the gigafactory and for some SpaceX projects. So

0:36:00.560 --> 0:36:04.799
<v Speaker 17>we have been talking to those to those people and

0:36:04.840 --> 0:36:10.120
<v Speaker 17>trying to understand their role. Julia spoke with about a

0:36:10.160 --> 0:36:11.000
<v Speaker 17>dozen people.

0:36:12.600 --> 0:36:15.640
<v Speaker 3>Sarah, what did the company have to say about what

0:36:15.680 --> 0:36:18.680
<v Speaker 3>you guys found in the reporting? Are they improving practices

0:36:18.719 --> 0:36:20.800
<v Speaker 3>in any way?

0:36:20.840 --> 0:36:23.560
<v Speaker 15>We have not gotten a response yet from the company,

0:36:23.840 --> 0:36:27.799
<v Speaker 15>although of course, as we as journalists always do, we

0:36:27.840 --> 0:36:31.000
<v Speaker 15>ask for comment. We have not heard any response, but

0:36:31.120 --> 0:36:34.040
<v Speaker 15>we worked very hard to Julia Love worked very hard

0:36:34.040 --> 0:36:35.600
<v Speaker 15>to verify everything that she was.

0:36:35.520 --> 0:36:48.600
<v Speaker 3>Told Bloomberg Sarah Fryer, thanks for joining us. Apple and

0:36:48.640 --> 0:36:52.040
<v Speaker 3>Alphabet are restoring TikTok to its app stores after US

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<v Speaker 3>Attorney General Pam Bondi sent a letter to two companies

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<v Speaker 3>assuring that a band wouldn't immediately be enforced for more.

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<v Speaker 4>Bloomberg's Alex joins us.

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<v Speaker 3>Now Alex this has been quite the tit for tat

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<v Speaker 3>ever since the ban was initially passed. This is kind

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<v Speaker 3>of something that is underpinned by federal legislation. So even

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<v Speaker 3>though it's momentarily brought on, where does this leave the

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<v Speaker 3>fate of TikTok's future.

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<v Speaker 18>I think, Jackie, that it can seem like this is

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<v Speaker 18>a huge win. I do think that it is a

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<v Speaker 18>big win in sort of this longer saga that TikTok

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<v Speaker 18>is now back online in both the Apple and Google

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<v Speaker 18>app stores. However, it is definitely not the end of

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<v Speaker 18>the road for the platform. Donald Trump has essentially stopped

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<v Speaker 18>enforcement of the law that went into effect for seventy

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<v Speaker 18>five days, so from now that ME and C has

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<v Speaker 18>another roughly six weeks. Early April is the deadline at

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<v Speaker 18>this point, and so what he has to do between

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<v Speaker 18>now and the beginning of April is negotiated deal that

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<v Speaker 18>would keep TikTok running in the US, but would also

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<v Speaker 18>address the national security concerns that were brought up in

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<v Speaker 18>a very bipartisan manner with the prior administration in the

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<v Speaker 18>prior Congress. So even though like I said, it is,

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<v Speaker 18>you know, a big win in this longer saga, it

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<v Speaker 18>is certainly not the end of the line for TikTok,

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<v Speaker 18>and it does not guarantee its future in the United States.

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<v Speaker 2>Alex, what could that deal look like? Does that deal?

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<v Speaker 2>Is it on the table for the US perhaps to

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<v Speaker 2>buy TikTok via a sovereign wealth fund if that does

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<v Speaker 2>get established.

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<v Speaker 18>The terms of the deal, and you know, various proposals

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<v Speaker 18>that have been thrown around are very mushy. I think

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<v Speaker 18>that you know, every week we hear another kind of proposal,

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<v Speaker 18>we hear about another interested potential acquire, another interested potential buyer.

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<v Speaker 18>Some of the names that have been thrown out have

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<v Speaker 18>you know, denied actually being involved in any way. People

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<v Speaker 18>like Elon Musk, who we had initially heard was being

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<v Speaker 18>considered as one potential off ramp by the Chinese government,

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<v Speaker 18>actually came out just at the end of January to

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<v Speaker 18>say he's actually not interested. So the sovereign Wealth fund

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<v Speaker 18>was another thing that was put forward, but the terms

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<v Speaker 18>of how that would actually work were very unclear. We

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<v Speaker 18>also know that with this Auber Wealth Fund, this would

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<v Speaker 18>take a lot of time to actually to actually stand up.

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<v Speaker 18>And Donald Trump as of right now, has only given

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<v Speaker 18>himself until the beginning of April for the enforcement of

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<v Speaker 18>this law to kick back in. So that's all to say,

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<v Speaker 18>there's a lot of stuff on the table. It's all

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<v Speaker 18>a little bit uncertain at this point. But we do

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<v Speaker 18>know that there are ongoing talks in the White House

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<v Speaker 18>and between the White House and TikTok and Bye Dance

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<v Speaker 18>on a potential path forward.

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<v Speaker 4>Here, Alex.

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<v Speaker 3>Do we know what kind of assurances lawmakers want to

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<v Speaker 3>see before we end up getting any kind of deal

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<v Speaker 3>between President and Trump and any other party involved.

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<v Speaker 18>That is a great question, and most lawmakers have been

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<v Speaker 18>mum on this ever since the executive order was signed

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<v Speaker 18>by Donald Trump during his first day in office. We

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<v Speaker 18>know that a large number of the folks that actually

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<v Speaker 18>pushed this legislation across the finish line to begin with

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<v Speaker 18>were members of Trump's own party, and some of them,

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<v Speaker 18>for example Tom Cotton, have come out to say the

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<v Speaker 18>law needs to be enforced. And even though you know,

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<v Speaker 18>even though there hasn't been a whole ton of chatter

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<v Speaker 18>since the executive Order was signed, we do know that

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<v Speaker 18>behind the scenes there is likely a lot of pushback

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<v Speaker 18>from folks who are concerned that whatever deal may end

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<v Speaker 18>up coming to Fruition may not actually address the national

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<v Speaker 18>security concerns that got that app shot down here in

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<v Speaker 18>the first place, so that all remains to be seen.

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<v Speaker 2>Bloomberg's Alex Levine joining us from New York today. Alex,

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<v Speaker 2>thanks so much. Have a great long weekend, and you

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<v Speaker 2>have a great long weekend everybody, because that is going

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<v Speaker 2>to do it for this edition of Bloomberg Technology. Do

0:40:34.680 --> 0:40:37.239
<v Speaker 2>not forget to check out our podcast. You can find

0:40:37.280 --> 0:40:40.640
<v Speaker 2>it on a terminal as well as online on Apple, Spotify,

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<v Speaker 2>and iHeart This is Bloomberg. We'll see you on Tuesday.