WEBVTT - Microsoft, Nvidia Commit $15 Billion to OpenAI Rival

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is a

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<v Speaker 1>live from coast to coast with Caroline Hyde in New

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<v Speaker 1>York and Eva though in San Francisco.

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<v Speaker 2>This is Bloomberg Tech Coming up.

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<v Speaker 3>Microsoft and in video commit to invest up to fifteen

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<v Speaker 3>billion dollars combined in AI startup Anthropic. This is Saudi

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<v Speaker 3>Arabia's Crown Prince is set to discuss tech investments and

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<v Speaker 3>AI innovation with President Trump today, and gaming giant Roadblocks

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<v Speaker 3>takes steps to expand age verification across its platform.

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<v Speaker 2>We'll discuss with the CEO, but.

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<v Speaker 3>First we check in on these markets once again. Under pressure,

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<v Speaker 3>the nasdack off by one point seven percent. That we

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<v Speaker 3>have eraised one point eight trillion dollars from this benchmark

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<v Speaker 3>since the end of October, in large part because some

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<v Speaker 3>of the key AI players have been on the downside.

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<v Speaker 3>Bitcoin no recovers ever, so slightly uppercentage for we're in

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<v Speaker 3>NY two eight hundred and forty six. Move on to

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<v Speaker 3>individual movers because it's all around some of our top

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<v Speaker 3>story today cloud flaw. We want to check in and

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<v Speaker 3>we're down three percent. That's after it's been fixed. But

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<v Speaker 3>we were struggling to get onto NJ Transit, you are

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<v Speaker 3>struggling to get onto open AI's chatch ept, you are

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<v Speaker 3>struggling to get onto many A website because of cloud

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<v Speaker 3>flare more broadly, and that's as we saw an outage

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<v Speaker 3>that now they say has been fixed. We're still off

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<v Speaker 3>by three percent. Let's talk about, though, the top story

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<v Speaker 3>that we just mentioned, Microsoft and Nvidia both committing to

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<v Speaker 3>invest up to a combined fifteen billion dollars in Anthropic,

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<v Speaker 3>and a move that ties the AI developer closer to

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<v Speaker 3>the biggest backers of its rival, open Ai. Lumg's AI

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<v Speaker 3>editor Seth Bieman joins us some more, it's a tough

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<v Speaker 3>time to be announcing that you're going to be buying

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<v Speaker 3>cloud from one company. Well, they're going to be investing

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<v Speaker 3>equity in another.

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<v Speaker 2>Just more circular deals.

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<v Speaker 4>It feels like this one feels very clearly following the

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<v Speaker 4>opening eyeplaybook that we've been seeing in recent weeks. Here, Yes,

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<v Speaker 4>I think Anthropic is taking money from Microsoft and Nvidia.

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<v Speaker 4>Microsoft it's in the Anthropic then plans to commit spending

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<v Speaker 4>to Microsoft's platform using Nvidia chips. Kind of textbook here,

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<v Speaker 4>and I think we'll add to some of the anxiety there,

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<v Speaker 4>but it is on a big of a smaller scale. Also,

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<v Speaker 4>our understanding at this point is that this financing is

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<v Speaker 4>part of a larger investment round to be announced at

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<v Speaker 4>some in determined time. So tbd how much Anthropic is

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<v Speaker 4>actually planning to bring in here.

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<v Speaker 2>I mean they already just closed around that valued.

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<v Speaker 3>Them at more than one hundred and eighty.

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<v Speaker 4>The new normal. That's a bottomless need and everyone is

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<v Speaker 4>tapping everyone else. All the ships have to rise together

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<v Speaker 4>or else they fail.

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<v Speaker 3>But what's interesting is Amazon had to make clear that

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<v Speaker 3>they're still the number one provider of cloud and of

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<v Speaker 3>training compute to Anthropic. Everyone seems to be an Anthropic now,

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<v Speaker 3>But how are we seeing that rival that likes of

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<v Speaker 3>open Ai.

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<v Speaker 4>Yeah, I mean again, this is not going to either

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<v Speaker 4>or a model. It's a yes. And you know, I

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<v Speaker 4>think we've seen open Ai turned to anthropics backers, namely

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<v Speaker 4>Google and Amazon, so Anthropic is doing the same.

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<v Speaker 5>Now.

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<v Speaker 4>There's a lot of intrigue there about what that means

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<v Speaker 4>about the Microsoft opening our relationship. But again, at this moment,

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<v Speaker 4>everyone is tapping everyone else until the music stops.

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<v Speaker 3>And the music has been sounding a little jerky of late.

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<v Speaker 3>I mean, certainly in the public sector people have been

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<v Speaker 3>worrying about these circularity deals on the actual productivity gains

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<v Speaker 3>that we might ever get with AI, That's right.

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<v Speaker 4>I do think Anthropic, though, has messaged clearly in the

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<v Speaker 4>last week or so that while they're kind of playing

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<v Speaker 4>the Opening I playbook here, we're investing heavily in infrastructure,

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<v Speaker 4>in chips, building out more, we're doing it on a

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<v Speaker 4>smaller scale now. As I said, the last time I

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<v Speaker 4>was on fifteen twenty fifty billion dollars. These are massive sums,

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<v Speaker 4>but when compared to Opening Eyes one point four trillion,

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<v Speaker 4>a bit more measured.

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<v Speaker 2>Well.

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<v Speaker 3>We've also got other breaking news today from LLM innovations

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<v Speaker 3>and improvements, this time coming from Alphabet. Shares R under

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<v Speaker 3>a pressure down two point three percent, but they rallied

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<v Speaker 3>hard yesterday because we know Berkshire.

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<v Speaker 2>Halfaway is getting into Alphabet.

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<v Speaker 3>But now we've got Gemini three and it seems to

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<v Speaker 3>actually be really rather good.

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<v Speaker 6>That's right.

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<v Speaker 4>So at the same time that Google has been helping

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<v Speaker 4>Anthropic and Open AI, they're also still trying to be

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<v Speaker 4>the best model on the market, and so I think

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<v Speaker 4>with Gemini three they're really touting their gains encoding and

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<v Speaker 4>in mimicking the process human reasoning. Obviously, those are key

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<v Speaker 4>aspects for Anthropic and for Opening Eye as well. Interestingly,

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<v Speaker 4>the GENERI I three model also offers a more premium tier.

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<v Speaker 4>I think it's two hundred and fifty dollars something like

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<v Speaker 4>that amount that you get to do even more intense

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<v Speaker 4>reasoning where you can test different hypotheses and we'll see,

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<v Speaker 4>but they're all competing with the same kind of benchmark

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<v Speaker 4>claims here to try to be the dominant force.

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<v Speaker 3>And will we have news of LM's getting ever more sophisticated.

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<v Speaker 3>We're able to code, We're able to vibe code, and

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<v Speaker 3>your team has been so busy because vibe coding startup Lovable,

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<v Speaker 3>which is actually a European startup, seems to be expanding

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<v Speaker 3>and maybe even getting a really high valuation too.

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<v Speaker 4>Yeah. I think it's really probably the most promising or

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<v Speaker 4>one of the two most promising coming out of Europe

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<v Speaker 4>right now. A lot of the vibe coding leaders are

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<v Speaker 4>from the US, including Cursor, and you can argue Anthropic

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<v Speaker 4>and others. I think Level has seem pretty strong organic

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<v Speaker 4>demand and pretty promising growth in recurring revenue. But this

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<v Speaker 4>is a crowded market and if Google's model changes the

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<v Speaker 4>game overnight for coding capabilities, that might have disruptions further

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<v Speaker 4>on down the line.

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<v Speaker 2>It's very much to be seen.

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<v Speaker 3>Two hundred million dollars annual recurring revenue and according to sources,

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<v Speaker 3>a six billion dollar valuation.

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<v Speaker 2>We have the CEO and a little.

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<v Speaker 3>Bit later Seth amazing wrap up of all things AI,

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<v Speaker 3>Seth Fiegerman, of course, who helps edit across that team.

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<v Speaker 2>Let's turn to Washington.

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<v Speaker 3>Now, guess what we're talking about, AI, but with the

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<v Speaker 3>Saudi Arabian Crown Prince Mohammed Vin Sulman. Here's at the

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<v Speaker 3>White House today meeting President Trump. We know the talks

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<v Speaker 3>about deepening US Saudi ties, but really there is such

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<v Speaker 3>a focus on tech, on investment, on innovation, as Digital

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<v Speaker 3>Wi begs Tyler Kendall joining us from the White House.

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<v Speaker 3>A lot of it's going to be about chip access.

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<v Speaker 7>Right exactly, Caroline, and good morning to you. No doubt

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<v Speaker 7>access to critical chip technology is going to be at

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<v Speaker 7>the top of the agenda today. As Saudi Arabia has

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<v Speaker 7>faced US restriction since twenty twenty three, in part over

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<v Speaker 7>the Kingdom's ties to Beijing. Now, I will point out

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<v Speaker 7>that when President Trump visited Saudi Arabia back in May,

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<v Speaker 7>the two countries announced a slew of investment commitments related

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<v Speaker 7>to AI, related to data centers that are going to

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<v Speaker 7>come to rely on access to these advanced semiconductors. But

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<v Speaker 7>six months has gone by and we have yet to

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<v Speaker 7>see the US greenlight those export licenses. Now, people familiar

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<v Speaker 7>tell us here at Bloomberg News that the two sides

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<v Speaker 7>are still hashing out one the security conditions for these

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<v Speaker 7>shipments and two these specific reciprocal investments that RIOD is

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<v Speaker 7>going to commit to making when it comes to making

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<v Speaker 7>good on their pledge for six hundred billion dollars in

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<v Speaker 7>US investments over the next four years. Now, perhaps adding

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<v Speaker 7>to the pressure here is that we know that recently

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<v Speaker 7>the UAES saw some of its export licenses green light

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<v Speaker 7>when it comes to projects run by US companies there.

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<v Speaker 7>But Caroline, this really does dovetail into the other key

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<v Speaker 7>part of the conversations today, which has to do with defense.

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<v Speaker 7>We are watching closely whether or not the two countries

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<v Speaker 7>enter into a defense Mutual Cooperation pact, and also those

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<v Speaker 7>F thirty five's that President Trump indicated that he will

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<v Speaker 7>allow the sale of Of course, this comes back to

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<v Speaker 7>the chip conversation, because there are concerns here also about

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<v Speaker 7>whether or not China could have access to this advanced

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<v Speaker 7>technology in these fighter chets. Caroline, I'll end on this.

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<v Speaker 7>It's absolutely packed here in Washington. We're expecting tech leaders

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<v Speaker 7>from across the country to descend, in world, to descend here,

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<v Speaker 7>all leading up to tomorrow's US Saudi LNE Investment Summit

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<v Speaker 7>at the Kennedy Center here in Washington.

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<v Speaker 3>And we await that arrival of MBS to the White House.

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<v Speaker 3>Tyler Kendall, thank you very much. Indeed, let's get the

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<v Speaker 3>wider investor perspective here, please say. Margi Btella is with

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<v Speaker 3>US all Spring Global Investment, senior portfolio manager, head of

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<v Speaker 3>capital Allocation, and we are thinking about how global narrative

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<v Speaker 3>around AI continues to develop.

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<v Speaker 2>Have you got any worries.

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<v Speaker 3>That we've been seeing, at least in the pressure.

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<v Speaker 2>In the stock market of ly.

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<v Speaker 7>No.

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<v Speaker 8>I think this is a little garden variety correction because

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<v Speaker 8>we've had a few wobbles bad news in the private

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<v Speaker 8>credit market. I think they we'll have maybe five percent correction.

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<v Speaker 2>I think the year.

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<v Speaker 8>We'll finish on a very very strong note because really

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<v Speaker 8>the trend for artificial intelligence is so strong for data centers.

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<v Speaker 8>In fact, when you look at the companies that have commented,

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<v Speaker 8>basically they don't have enough capacity for all the demand,

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<v Speaker 8>and they've been able to raise prices. So that doesn't

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<v Speaker 8>sound to me like a peak of a market that's

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<v Speaker 8>very to collapse or all.

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<v Speaker 3>I'm just going to go out to some sound that

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<v Speaker 3>we heard a little bit earlier in a summit that

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<v Speaker 3>Bloomberg has been having over in Africa. They have the

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<v Speaker 3>JP Morgan vice chairman joining Tavipinto.

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<v Speaker 2>Just listen what he said about a correction is possible.

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<v Speaker 9>There is probably a correction there, and that correction will

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<v Speaker 9>also create a correction in the rest of the segments

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<v Speaker 9>in the SMPN, in the industry, because you are probably

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<v Speaker 9>in order to justify these valuations, you are considering a

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<v Speaker 9>level of productivity. That it will happen, but it may

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<v Speaker 9>not have been as fast as the market is pricing.

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<v Speaker 3>Daniel Pinto there, JP Morgan, just speaking with our own

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<v Speaker 3>editor over in Africa today, Margie, and I'm really interested

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<v Speaker 3>as to well, why you think this will just be

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<v Speaker 3>I think a garden variety correction. What will be there

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<v Speaker 3>to support it will be in Vidia's numbers that get

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<v Speaker 3>us back on track.

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<v Speaker 8>Well, I'm not sure anything in Vidia could say will

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<v Speaker 8>be enough to assuage market concerns. But really, when you

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<v Speaker 8>look at the big market corrections, the economic corrections, they've

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<v Speaker 8>all been driven by frankly, Federal Reserve activity, whether when

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<v Speaker 8>they start to aggressively raise rates. So right here it

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<v Speaker 8>looks you could say, well, the fit is somewhere between

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<v Speaker 8>neutral to slightly easing, and again that is not the precondition.

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<v Speaker 8>I think we've been through so many of these cycles,

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<v Speaker 8>all driven by the FED, that we think it's natural

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<v Speaker 8>that we should have a big downward correction, and I

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<v Speaker 8>don't think we will. I think we'll just have a

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<v Speaker 8>continued period of slow growth for most of the economy.

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<v Speaker 8>The tech sector is very strong because artificial intelligence is

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<v Speaker 8>really a qualitative leap in the kind of technology that

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<v Speaker 8>we've had over the last several decades. So we think

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<v Speaker 8>it's just a small correction. In fact, if you look

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<v Speaker 8>at Nvidia, the stock really for this quarter the fourth

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<v Speaker 8>quarter is really just about flatish, and all they are

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<v Speaker 8>except for Googles, only one that's up for the quarter,

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<v Speaker 8>So that says to me there's a lot of nervousness

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<v Speaker 8>waiting for it in Video. But I think after that

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<v Speaker 8>clear as a year, I think we'll have a strong

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<v Speaker 8>finish because the fundamentals are still so strong as far

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<v Speaker 8>as the I can see, which I would say is

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<v Speaker 8>at least for another year or so.

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<v Speaker 3>And we look at you today in video up thirty

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<v Speaker 3>five percent, but it has erode it about half a

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<v Speaker 3>trillion dollars of market cap since the end of October, Margie.

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<v Speaker 2>So is that a buying opportunity, Well.

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<v Speaker 10>I think it's.

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<v Speaker 8>I think it's a moderate opportunity, yes, because at least

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<v Speaker 8>you have some of a discount. The pe is around

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<v Speaker 8>forty times, and that's higher than the average stock which

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<v Speaker 8>is around twenty seven times. But on the other hand,

0:10:39.120 --> 0:10:41.480
<v Speaker 8>their leaders in their sector, they should have an above

0:10:41.520 --> 0:10:44.080
<v Speaker 8>average growth as far as the guy can see, so

0:10:44.200 --> 0:10:47.559
<v Speaker 8>it's really not as high priced as it was relatively

0:10:47.559 --> 0:10:48.280
<v Speaker 8>a few months ago.

0:10:48.320 --> 0:10:49.360
<v Speaker 2>So I'd say, yes, it's a.

0:10:49.320 --> 0:10:52.960
<v Speaker 8>Good time to add to in video because their fundamental

0:10:53.000 --> 0:10:55.280
<v Speaker 8>position is really strong. I think it's just as I said,

0:10:55.400 --> 0:10:58.679
<v Speaker 8>market nervousness. Short term traders have gotten badly whipsawed back

0:10:58.760 --> 0:11:00.560
<v Speaker 8>and forth in the last couple of months, and I

0:11:00.559 --> 0:11:03.000
<v Speaker 8>think that's what's we're all causing this downward wave, involved

0:11:03.160 --> 0:11:04.160
<v Speaker 8>orly giving us.

0:11:04.080 --> 0:11:06.080
<v Speaker 2>The longer term perspective. We always so appreciate it.

0:11:06.160 --> 0:11:09.280
<v Speaker 3>Margie Patel of all Spring Global Investments, Stay well, see

0:11:09.280 --> 0:11:12.080
<v Speaker 3>you soon we home. Meanwhile, coming up, gaming giant Roadblock

0:11:12.160 --> 0:11:15.160
<v Speaker 3>takes steps to expand age verification across its platform. We'll

0:11:15.200 --> 0:11:17.400
<v Speaker 3>discuss the details of Roblox CEO Dave Zuki.

0:11:17.440 --> 0:11:19.240
<v Speaker 2>That's next. This is a Blume meg Tech.

0:11:30.600 --> 0:11:33.640
<v Speaker 3>Roadblocks and as we've going rolling out age verification technology

0:11:33.679 --> 0:11:37.160
<v Speaker 3>for all users and is introducing age based chat as

0:11:37.160 --> 0:11:40.920
<v Speaker 3>the gaming platform expands safety features with further parental resources too.

0:11:41.360 --> 0:11:44.080
<v Speaker 3>Roblox CEO Dave Zuki joins us now and Dave. This

0:11:44.160 --> 0:11:47.200
<v Speaker 3>really builds on that big, ambitious September announcement.

0:11:47.600 --> 0:11:48.960
<v Speaker 2>How is this going to be rolling out?

0:11:50.240 --> 0:11:50.440
<v Speaker 10>Hey?

0:11:50.480 --> 0:11:53.240
<v Speaker 11>Great to be here and what an enormous responsibility. With

0:11:53.240 --> 0:11:56.720
<v Speaker 11>one hundred and fifty million users every day coming to

0:11:56.760 --> 0:11:59.600
<v Speaker 11>the platform, We're rolling out what we believe will be

0:11:59.679 --> 0:12:02.400
<v Speaker 11>the goal old standard for the future of Internet safety.

0:12:02.440 --> 0:12:06.920
<v Speaker 11>We're the first really major gaming platform to use AI

0:12:07.240 --> 0:12:10.480
<v Speaker 11>to estimate the age of everyone on the platform who

0:12:10.480 --> 0:12:14.160
<v Speaker 11>wants to use chat and communicate. We're going to start

0:12:14.240 --> 0:12:16.720
<v Speaker 11>rolling this out in December and then it'll be should

0:12:16.760 --> 0:12:21.480
<v Speaker 11>be all rolled out by January. Basically, on whatever device

0:12:21.520 --> 0:12:25.520
<v Speaker 11>you're on, take a quick image, will analyze your age

0:12:25.520 --> 0:12:28.440
<v Speaker 11>with AI, complement it with a bunch of other signals,

0:12:28.960 --> 0:12:32.160
<v Speaker 11>and use that really to figure out who who might

0:12:32.200 --> 0:12:34.760
<v Speaker 11>you be chatting with. To keep the platform more safe,

0:12:35.000 --> 0:12:37.800
<v Speaker 11>we're not going to be allowing minors, for example, to

0:12:37.840 --> 0:12:42.120
<v Speaker 11>communicate with people who are adults, and we're going to

0:12:42.160 --> 0:12:43.959
<v Speaker 11>roll it out to everyone on the platform.

0:12:44.440 --> 0:12:46.319
<v Speaker 3>I'm really interested as to how you're going to measure

0:12:46.360 --> 0:12:49.480
<v Speaker 3>success here, Dave, because in many ways you're trying to

0:12:49.520 --> 0:12:52.360
<v Speaker 3>prove a negative. But how are you going to be

0:12:52.440 --> 0:12:56.320
<v Speaker 3>internally thinking this has worked, people are satisfied and they're safe.

0:12:56.960 --> 0:12:59.880
<v Speaker 11>Well, I want to highlight things are already working in

0:13:00.080 --> 0:13:03.440
<v Speaker 11>that we're a very unique platform, and that we filter

0:13:03.640 --> 0:13:07.720
<v Speaker 11>all of the text and communication on our platform. We

0:13:07.880 --> 0:13:12.080
<v Speaker 11>don't allow the sharing of images, we have monitoring for

0:13:12.160 --> 0:13:16.320
<v Speaker 11>critical harms, We work very closely with law enforcement. So

0:13:17.480 --> 0:13:21.160
<v Speaker 11>I see this as an addition to everything we're doing

0:13:21.400 --> 0:13:24.320
<v Speaker 11>and really to our vision of what we've been calling

0:13:24.480 --> 0:13:27.720
<v Speaker 11>the gold standard, but we do estimate over the next

0:13:27.720 --> 0:13:31.480
<v Speaker 11>few months will will know roughly the age of everyone

0:13:31.520 --> 0:13:34.640
<v Speaker 11>on the platform, and we'll complement that with some of

0:13:34.679 --> 0:13:38.640
<v Speaker 11>the other things we do, like trusted connections and things

0:13:38.679 --> 0:13:42.160
<v Speaker 11>like that to constantly build on our innovation. You know,

0:13:42.240 --> 0:13:45.880
<v Speaker 11>we've shipped over one hundred safety innovations in the last year,

0:13:46.240 --> 0:13:48.640
<v Speaker 11>so it's really a continuation of that focus.

0:13:48.880 --> 0:13:51.839
<v Speaker 3>You're using a third party vendor persona, I believe, and

0:13:52.320 --> 0:13:54.400
<v Speaker 3>how are you going to be ensuring that that's robust

0:13:54.480 --> 0:13:56.840
<v Speaker 3>enough the AI The underlying technology is we're bust enough

0:13:56.880 --> 0:14:00.360
<v Speaker 3>ever in the UK well from the using Discord for example,

0:14:00.480 --> 0:14:04.640
<v Speaker 3>managed to bypass previous facial recognition age verification tests.

0:14:05.320 --> 0:14:08.360
<v Speaker 11>There's a bunch of other signals we have in addition

0:14:08.480 --> 0:14:11.480
<v Speaker 11>to the facial age estimation, and we do have the

0:14:11.520 --> 0:14:16.160
<v Speaker 11>ability to estimate several times if we need to so,

0:14:16.679 --> 0:14:19.040
<v Speaker 11>so in addition to using the camera to do an

0:14:19.040 --> 0:14:22.480
<v Speaker 11>age check, we have other ways to validate and putting

0:14:22.520 --> 0:14:26.160
<v Speaker 11>all of these signals together, we believe is pretty robust.

0:14:26.240 --> 0:14:29.480
<v Speaker 3>Really, what's so interesting is clearly you're here with safety

0:14:29.520 --> 0:14:32.080
<v Speaker 3>as a priority. You did mention back in the earnings

0:14:32.160 --> 0:14:35.120
<v Speaker 3>your CFO in particular that maybe you'll see some friction,

0:14:35.440 --> 0:14:38.240
<v Speaker 3>maybe the numbers, the revenue, the growth might be impacted

0:14:38.240 --> 0:14:41.280
<v Speaker 3>as people start to have to verify their age, maybe

0:14:41.360 --> 0:14:42.640
<v Speaker 3>slower to come and adopt.

0:14:42.880 --> 0:14:44.360
<v Speaker 2>Do you think that that will bear out? How will

0:14:44.360 --> 0:14:45.480
<v Speaker 2>it look longer term?

0:14:45.920 --> 0:14:49.680
<v Speaker 11>We shared this vision that we believe over ten percent

0:14:49.800 --> 0:14:53.000
<v Speaker 11>of the global gaming market, which is somewhere between a

0:14:53.040 --> 0:14:55.600
<v Speaker 11>one hundred and eighty and two hundred billion dollar market,

0:14:55.680 --> 0:14:58.240
<v Speaker 11>is going to be running on roadblocks. And in the

0:14:58.600 --> 0:15:02.160
<v Speaker 11>earnings call we just had, we shared this amazing growth

0:15:02.200 --> 0:15:06.320
<v Speaker 11>both on bookings and DAUS in the seventy percent year

0:15:06.400 --> 0:15:10.120
<v Speaker 11>on year rate. Long term, we believe this is just

0:15:10.160 --> 0:15:12.760
<v Speaker 11>the right thing for the platform. We're unique and that

0:15:12.800 --> 0:15:16.880
<v Speaker 11>we have all ages. We have people under thirteen, over

0:15:16.960 --> 0:15:20.360
<v Speaker 11>thirteen or over thirteen is growing rapidly. This is the

0:15:20.440 --> 0:15:24.320
<v Speaker 11>right long term vision and we're really optimistic about continuing

0:15:24.360 --> 0:15:24.960
<v Speaker 11>our growth.

0:15:25.480 --> 0:15:27.960
<v Speaker 3>Okay, so this is the right balance from your perspective,

0:15:28.720 --> 0:15:31.120
<v Speaker 3>What do you think the data will bear out as

0:15:31.160 --> 0:15:34.320
<v Speaker 3>to the name, well, ultimately the actual ages of people

0:15:34.360 --> 0:15:35.000
<v Speaker 3>you have using it.

0:15:35.040 --> 0:15:37.280
<v Speaker 2>Do you think you have more under thirteen's you anticipated?

0:15:37.280 --> 0:15:39.320
<v Speaker 2>Do you think you have more older users?

0:15:40.600 --> 0:15:43.920
<v Speaker 11>We can't estimate that exactly. What I can say is

0:15:43.960 --> 0:15:46.640
<v Speaker 11>that our the facial age estimation tech we're going to

0:15:46.720 --> 0:15:49.880
<v Speaker 11>use is pretty reasonable and pretty accurate. I've tried it,

0:15:50.520 --> 0:15:52.520
<v Speaker 11>some of my kids have tried it. We've tried it

0:15:52.840 --> 0:15:55.680
<v Speaker 11>within our staff meeting. So I think we're going to

0:15:55.760 --> 0:15:59.320
<v Speaker 11>find out we're reasonably close. But over time we will

0:15:59.320 --> 0:16:01.760
<v Speaker 11>get a better signal on everyone's age.

0:16:02.160 --> 0:16:05.760
<v Speaker 3>And this must be something that marked is that those

0:16:05.800 --> 0:16:08.200
<v Speaker 3>that eventually we're buying more ads with roadblocks are going

0:16:08.240 --> 0:16:10.600
<v Speaker 3>to be looking at is this going to help well

0:16:10.880 --> 0:16:14.200
<v Speaker 3>inject some fuel to that offering because people will feel

0:16:14.200 --> 0:16:16.960
<v Speaker 3>safer about what age group can be consuming such efforts.

0:16:17.720 --> 0:16:20.800
<v Speaker 11>We have shared a couple things. You know, we don't

0:16:20.840 --> 0:16:25.160
<v Speaker 11>target under eighteen already on the platform, but there's an

0:16:25.360 --> 0:16:30.360
<v Speaker 11>enormous number of older users joining the platform. We shared

0:16:30.440 --> 0:16:33.320
<v Speaker 11>in our earnings call I believe in Q four like

0:16:33.360 --> 0:16:37.320
<v Speaker 11>we're literally earn qth running at over ten billion hours

0:16:37.400 --> 0:16:41.240
<v Speaker 11>a month of engagement. That's an amazing amount of engagement.

0:16:41.400 --> 0:16:45.600
<v Speaker 11>Our economy is primarily driven right now by our virtual

0:16:45.600 --> 0:16:49.800
<v Speaker 11>economy powered by Robucks, but advertising is a wonderful compliment,

0:16:50.520 --> 0:16:52.920
<v Speaker 11>and you're right, we're going to have a better more

0:16:53.040 --> 0:16:56.240
<v Speaker 11>accurate estimate of everyone's age, which for a lot of

0:16:56.280 --> 0:17:00.000
<v Speaker 11>our advertisers that are starting to hop on with events

0:17:00.080 --> 0:17:03.360
<v Speaker 11>supporting all kinds of things, beauty products, movies, things like that,

0:17:03.680 --> 0:17:06.560
<v Speaker 11>they'll have a better idea of really the number of

0:17:06.600 --> 0:17:09.320
<v Speaker 11>people over eighteen on our platform.

0:17:09.600 --> 0:17:12.960
<v Speaker 3>Reblock CEO David Zuki on their latest safety updates.

0:17:13.000 --> 0:17:15.199
<v Speaker 2>We really appreciate you joining the show today. Thank you.

0:17:16.119 --> 0:17:17.800
<v Speaker 3>Now, coming up, we're going to be speaking with a

0:17:17.800 --> 0:17:21.040
<v Speaker 3>Lovable CEO, Anton Asika, as the company is said to

0:17:21.040 --> 0:17:23.879
<v Speaker 3>be nearing a six billion dollar valuation. This is bloom

0:17:23.880 --> 0:17:34.640
<v Speaker 3>bag tech AI coding startup Lovable. It's set to hit

0:17:34.680 --> 0:17:37.800
<v Speaker 3>a six billion dollar valuation. That's according to sources. The

0:17:37.880 --> 0:17:41.160
<v Speaker 3>company is seeing rapid growth, reaching two hundred million dollars

0:17:41.200 --> 0:17:44.439
<v Speaker 3>in annual recurring revenue and expanding with new offices in

0:17:44.440 --> 0:17:48.679
<v Speaker 3>Boston and San Francisco. Joining us now to discuss Anton Aseka,

0:17:48.800 --> 0:17:51.439
<v Speaker 3>CEO of Lovable, Anton, I go to the numbers that

0:17:51.480 --> 0:17:54.200
<v Speaker 3>you've actually given to us, the two hundred million dollars,

0:17:55.440 --> 0:17:58.960
<v Speaker 3>the annual revenue run rate, that's a lot who's purchasing.

0:18:00.560 --> 0:18:04.400
<v Speaker 6>So we're seeing Lovable since we launched just twelve months ago.

0:18:05.240 --> 0:18:09.119
<v Speaker 6>Empowered by this consumer and prosumer movement of individuals that

0:18:09.240 --> 0:18:11.800
<v Speaker 6>use the product and then they love it so they

0:18:11.840 --> 0:18:14.400
<v Speaker 6>put in their credit card. And that's just the movement

0:18:14.560 --> 0:18:18.840
<v Speaker 6>that's then translated to us being pulled into the enterprise

0:18:18.920 --> 0:18:24.000
<v Speaker 6>where Fortune five hundred companies like Klarna, HCA Healthcare, they're

0:18:24.000 --> 0:18:28.240
<v Speaker 6>transforming how they work on top of a completely new

0:18:28.240 --> 0:18:33.120
<v Speaker 6>weight to build the software, software products, and even software

0:18:33.160 --> 0:18:36.040
<v Speaker 6>companies on top of the products that are being.

0:18:35.960 --> 0:18:37.600
<v Speaker 2>Built two hundred million dollars.

0:18:37.960 --> 0:18:40.440
<v Speaker 3>In terms of what you're saying annual revenue run rate,

0:18:40.680 --> 0:18:43.240
<v Speaker 3>you're seeing, as you say, a breadth of enterprise adoption

0:18:43.400 --> 0:18:47.000
<v Speaker 3>and individual entrepreneurialism. But when it comes to vibe coding

0:18:47.160 --> 0:18:49.960
<v Speaker 3>and the use cases, where are you having to build

0:18:50.000 --> 0:18:52.359
<v Speaker 3>out your building offices in America, it would see.

0:18:52.800 --> 0:18:53.640
<v Speaker 10>Yeah, and that's great.

0:18:54.240 --> 0:18:58.240
<v Speaker 6>What we're seeing is that love is providing a lot

0:18:58.240 --> 0:19:01.480
<v Speaker 6>of value in large companies moving faster, and many of

0:19:01.480 --> 0:19:05.679
<v Speaker 6>those companies are in the US. So we have great

0:19:05.800 --> 0:19:09.520
<v Speaker 6>leadership that has built companies at the largest stage. Before

0:19:10.240 --> 0:19:13.800
<v Speaker 6>Ryan Meadows skilled Eclavio, he's not joining.

0:19:13.920 --> 0:19:15.960
<v Speaker 10>Building out from where he's based in Boston.

0:19:16.240 --> 0:19:19.240
<v Speaker 6>We have Maria and Kobe who joined from notion she's

0:19:19.280 --> 0:19:20.560
<v Speaker 6>moving with her family to Stockholm.

0:19:20.600 --> 0:19:21.760
<v Speaker 10>I think that says a lot.

0:19:22.200 --> 0:19:26.880
<v Speaker 6>While we keep the core headquarters here in Stockholm, as

0:19:26.920 --> 0:19:29.919
<v Speaker 6>we expand globally on the mission, which is simply to

0:19:30.480 --> 0:19:33.840
<v Speaker 6>reimagine how software is built and who gets to build it,

0:19:34.000 --> 0:19:38.199
<v Speaker 6>and it's initnessing a once in a generation democratization of

0:19:38.359 --> 0:19:39.200
<v Speaker 6>the software creation.

0:19:39.720 --> 0:19:41.719
<v Speaker 2>The pace is extraordinary. It's only four months ago.

0:19:41.760 --> 0:19:43.560
<v Speaker 3>It's only back in July that you mentioned that you've

0:19:43.560 --> 0:19:46.400
<v Speaker 3>got one hundred million dollar and your revenue run rate.

0:19:46.480 --> 0:19:50.119
<v Speaker 3>Now that's doubled. You are, we understand looking for funding.

0:19:50.119 --> 0:19:52.280
<v Speaker 3>You could have a six billion dollar valuation. Can you

0:19:52.320 --> 0:19:55.520
<v Speaker 3>comment on how much you were needing to have yet

0:19:55.560 --> 0:19:58.080
<v Speaker 3>further capital to finance this expansion.

0:20:00.119 --> 0:20:03.480
<v Speaker 6>Yeah, Krolyn, I'm not here to talk about any fundraising

0:20:03.520 --> 0:20:06.439
<v Speaker 6>that hasn't happened, but what I can say is that

0:20:06.680 --> 0:20:11.280
<v Speaker 6>the momentum is absolutely astounding and it's increasing. There are

0:20:11.320 --> 0:20:15.520
<v Speaker 6>one hundred thousand new projects built on Lovable every single day.

0:20:15.880 --> 0:20:21.920
<v Speaker 6>And what's was growing even faster is how much traffic

0:20:22.080 --> 0:20:26.080
<v Speaker 6>the meaningful applications and businesses built on Lovable are gathering.

0:20:26.400 --> 0:20:28.600
<v Speaker 10>We're seeing we're seeing five million visits.

0:20:28.680 --> 0:20:31.680
<v Speaker 6>The level websites per day That doubled in just the

0:20:31.760 --> 0:20:35.040
<v Speaker 6>last two months, and some part of that is us

0:20:35.080 --> 0:20:39.160
<v Speaker 6>building out and just reimagining how does the entire life

0:20:39.200 --> 0:20:43.040
<v Speaker 6>cycle of building a software product look like. We launched

0:20:43.440 --> 0:20:47.960
<v Speaker 6>Lovable's cloud and AI offering two months ago and that

0:20:48.000 --> 0:20:51.320
<v Speaker 6>has resulted in almost thirty percent of all the applications

0:20:51.320 --> 0:20:56.760
<v Speaker 6>built having AI included. Even though they're built without a

0:20:56.800 --> 0:20:59.560
<v Speaker 6>software engineer, they're built by the ninety nine percent who

0:20:59.560 --> 0:21:03.199
<v Speaker 6>don't go and then starting to collaborate with engineers. If

0:21:03.200 --> 0:21:06.840
<v Speaker 6>they're being built in large companies in the same platform.

0:21:06.280 --> 0:21:09.800
<v Speaker 3>What are your costs? Where are you having to spend more?

0:21:09.960 --> 0:21:10.520
<v Speaker 3>Is it talent?

0:21:10.720 --> 0:21:11.840
<v Speaker 2>Is it compute? Is it?

0:21:11.880 --> 0:21:14.000
<v Speaker 3>What is it that you are going to build within

0:21:14.040 --> 0:21:14.760
<v Speaker 3>your business model?

0:21:16.160 --> 0:21:20.240
<v Speaker 6>So when someone asks Lovable to build them and your

0:21:20.520 --> 0:21:25.000
<v Speaker 6>software or just a presentation and demonstration of something that

0:21:25.160 --> 0:21:28.840
<v Speaker 6>they think the business should be doing, we are of

0:21:28.840 --> 0:21:32.000
<v Speaker 6>course consuming compute to power the AI and that costs

0:21:32.080 --> 0:21:37.040
<v Speaker 6>a significant amount. But Lovable has healthy unit economics and

0:21:37.119 --> 0:21:39.840
<v Speaker 6>now what we're looking to do is to just do

0:21:40.000 --> 0:21:42.840
<v Speaker 6>everything we can to drive as much value for all

0:21:42.880 --> 0:21:45.439
<v Speaker 6>of our customers, and that's going to require us to

0:21:45.600 --> 0:21:49.680
<v Speaker 6>invest in the new offices that we're opening and to

0:21:49.720 --> 0:21:54.800
<v Speaker 6>take care and teach customers that are using levelble how

0:21:54.800 --> 0:21:56.280
<v Speaker 6>to get the most value out of the product.

0:21:56.400 --> 0:21:59.320
<v Speaker 3>And when you hear the anxiety in the public markets

0:21:59.720 --> 0:22:03.200
<v Speaker 3>that companies are overinvesting, so we're not seeing the AI

0:22:03.280 --> 0:22:05.800
<v Speaker 3>rewards yet in the timeframe that we need to for

0:22:05.840 --> 0:22:07.760
<v Speaker 3>the amount of money that's going on happital expenditure.

0:22:07.760 --> 0:22:08.439
<v Speaker 2>What do you say to that?

0:22:10.600 --> 0:22:15.680
<v Speaker 6>So when AI initiatives are being pushed into a company

0:22:15.680 --> 0:22:18.680
<v Speaker 6>top down, then I think there is often a risk

0:22:18.760 --> 0:22:21.240
<v Speaker 6>that the expectation is wrong.

0:22:21.520 --> 0:22:24.520
<v Speaker 10>Someone hasn't used the tools themselves.

0:22:24.560 --> 0:22:27.320
<v Speaker 6>What we're seeing with Lovable is that it's all being

0:22:28.040 --> 0:22:31.920
<v Speaker 6>adopted bottoms up. So people come to the web Lovable

0:22:31.920 --> 0:22:36.080
<v Speaker 6>website and they build an application, publish it online or

0:22:36.440 --> 0:22:39.560
<v Speaker 6>privately to their own company, and then they see value

0:22:39.640 --> 0:22:42.480
<v Speaker 6>and then they start paying. So I think there's a

0:22:42.480 --> 0:22:45.600
<v Speaker 6>a lot of different things happening in AI, and if

0:22:45.640 --> 0:22:49.119
<v Speaker 6>you're considering making buying decisions, you should yourself use the

0:22:49.160 --> 0:22:52.840
<v Speaker 6>technology and understand yourself how it can affect your business

0:22:52.920 --> 0:22:56.240
<v Speaker 6>outcomes or your personal personal life. And we've at Lovable,

0:22:56.240 --> 0:23:01.320
<v Speaker 6>we're seeing companies like Microsoft Klarna a large part of

0:23:01.440 --> 0:23:06.760
<v Speaker 6>fortunate one hundred companies adopting this new demo memo where

0:23:06.800 --> 0:23:10.000
<v Speaker 6>anyone in the company build software to take the company forward.

0:23:10.320 --> 0:23:11.200
<v Speaker 2>Demo do memo.

0:23:11.480 --> 0:23:14.359
<v Speaker 3>Wonderful to say, being born Ata Sweden, expanding here in

0:23:14.359 --> 0:23:17.439
<v Speaker 3>the United States. Leveable CEO, anton Asika. We thank you

0:23:17.480 --> 0:23:20.160
<v Speaker 3>so much for your time today. Now, another key story

0:23:20.160 --> 0:23:24.160
<v Speaker 3>we're all digesting is Microsoft and Vidia announcing investment combined

0:23:24.200 --> 0:23:27.760
<v Speaker 3>fifteen billion dollars into Anthropic. In return, Anthropik will be

0:23:27.760 --> 0:23:30.760
<v Speaker 3>committing to purchase thirty billion dollars of computing capacity for

0:23:30.840 --> 0:23:33.760
<v Speaker 3>Microsoft as your cloud service man Deep Seing and Boomberg

0:23:33.800 --> 0:23:38.000
<v Speaker 3>Intelligence breaking down what is again a circular deal here,

0:23:38.480 --> 0:23:40.840
<v Speaker 3>but it seems as though this could really be rivaling

0:23:40.840 --> 0:23:41.320
<v Speaker 3>open Ai.

0:23:42.320 --> 0:23:44.680
<v Speaker 12>Well, so the way I look at it is everyone

0:23:44.800 --> 0:23:48.000
<v Speaker 12>is looking to diversify. So in the case of Nvidia,

0:23:48.640 --> 0:23:52.320
<v Speaker 12>they want a long tail of cloud players for their chips.

0:23:52.359 --> 0:23:55.720
<v Speaker 12>In the case of Microsoft, they want to go beyond

0:23:55.840 --> 0:23:59.239
<v Speaker 12>open Ai, and you know, diversify into different lllms. And

0:23:59.680 --> 0:24:03.240
<v Speaker 12>because there are so few frontier LLM providers, I mean,

0:24:03.480 --> 0:24:06.479
<v Speaker 12>Nthropic is the obvious choice. You can't really invest in

0:24:06.520 --> 0:24:10.200
<v Speaker 12>Google or metas LM. So from that perspective, it makes

0:24:10.200 --> 0:24:13.879
<v Speaker 12>sense that they are looking for diversification. But look in

0:24:13.960 --> 0:24:16.200
<v Speaker 12>the end, when you look at you know, the deployment

0:24:16.280 --> 0:24:18.679
<v Speaker 12>of these lms, there is no doubt that you know,

0:24:19.800 --> 0:24:24.160
<v Speaker 12>Gemini just release their Gemini three llms, so the progress

0:24:24.320 --> 0:24:26.879
<v Speaker 12>is there. It's just for Microsoft because they don't have

0:24:26.960 --> 0:24:29.800
<v Speaker 12>their own LLLM. It makes sense that you know, they

0:24:29.840 --> 0:24:34.040
<v Speaker 12>are investing in Entropic and really making sure they have

0:24:35.119 --> 0:24:37.639
<v Speaker 12>you know, someone beyond open Ai to look up to

0:24:37.720 --> 0:24:41.760
<v Speaker 12>be because that contract expires in twenty thirty two, so

0:24:41.760 --> 0:24:43.640
<v Speaker 12>they're really playing the long game here.

0:24:43.640 --> 0:24:46.280
<v Speaker 3>And then playing the long game for compute demand as well.

0:24:46.320 --> 0:24:48.560
<v Speaker 3>How important is that thirty billion dollars to the overall

0:24:48.560 --> 0:24:49.160
<v Speaker 3>business model?

0:24:49.440 --> 0:24:52.600
<v Speaker 12>I mean Microsoft has a backlog of four hundred billion

0:24:52.680 --> 0:24:56.000
<v Speaker 12>dollars with a two year duration, so they already have

0:24:56.080 --> 0:24:58.760
<v Speaker 12>a ton of visibility. This thirty billions is sort of

0:24:58.800 --> 0:25:01.080
<v Speaker 12>an increment to that. And that's where you know, they

0:25:01.119 --> 0:25:05.199
<v Speaker 12>have really differentiated from the other hyperscale cloud providers with

0:25:05.280 --> 0:25:08.919
<v Speaker 12>their backlog, with their shorter duration, and with the visibility

0:25:08.920 --> 0:25:12.120
<v Speaker 12>and revenue they have from you know, just the GPU

0:25:12.240 --> 0:25:15.600
<v Speaker 12>and AI workloads compared to all other cloud providers. So

0:25:15.640 --> 0:25:19.359
<v Speaker 12>from that perspective. This kind of helps their revenue visibility

0:25:19.359 --> 0:25:20.840
<v Speaker 12>at least for the next two to three.

0:25:20.760 --> 0:25:24.280
<v Speaker 3>Years and keep seeing Blueberg Intelligence. Thank you so much.

0:25:25.080 --> 0:25:28.160
<v Speaker 3>Amid all the talk of this AI investment venture investors,

0:25:28.200 --> 0:25:30.760
<v Speaker 3>they are focused on two key things, picking the right

0:25:30.920 --> 0:25:34.479
<v Speaker 3>startups sort of intertwined AI and helping portfolio companies make

0:25:34.480 --> 0:25:36.479
<v Speaker 3>the most of the technology. Hillary goesher is with us

0:25:36.680 --> 0:25:41.080
<v Speaker 3>managing directorate Insight Partners, where she oversees these considerations the

0:25:41.160 --> 0:25:45.840
<v Speaker 3>VCPE firm. It's got ninety billion dollars regulatory assets under management. Hillary,

0:25:45.880 --> 0:25:47.440
<v Speaker 3>I'm so pleasing you're here to talk us.

0:25:47.400 --> 0:25:50.720
<v Speaker 2>Through what you have. You are in charge in many ways.

0:25:50.480 --> 0:25:52.679
<v Speaker 3>Of how AI is being adopted by your portfolio companies.

0:25:52.680 --> 0:25:56.040
<v Speaker 3>You're all in on software in particular over Insight. How

0:25:56.119 --> 0:25:58.600
<v Speaker 3>are companies making the most of it and really showing

0:25:58.640 --> 0:25:59.679
<v Speaker 3>productivity gains?

0:26:00.160 --> 0:26:03.440
<v Speaker 5>Caroline, thank you for having me on the show. So

0:26:03.480 --> 0:26:06.320
<v Speaker 5>Insight is an investor that invests across stage. We invest

0:26:06.359 --> 0:26:10.320
<v Speaker 5>from early stage startups, scale apps, grown ups once they

0:26:10.320 --> 0:26:13.639
<v Speaker 5>go IPO. And you know, over the history of Insight,

0:26:13.680 --> 0:26:16.399
<v Speaker 5>we've had fifty five RPOs companies that you would be

0:26:16.480 --> 0:26:20.399
<v Speaker 5>aware of, Shopify, Monday and this year Hinge Health, and

0:26:20.480 --> 0:26:23.360
<v Speaker 5>so we're very focused on making sure that we help

0:26:23.400 --> 0:26:26.040
<v Speaker 5>build the best companies. And so this year we're celebrating

0:26:26.080 --> 0:26:29.240
<v Speaker 5>twenty five years of Inside on Site, which is the

0:26:29.280 --> 0:26:32.280
<v Speaker 5>team that works alongside portfolio companies helping them scale and grow.

0:26:32.760 --> 0:26:33.679
<v Speaker 2>Because the one thing.

0:26:33.600 --> 0:26:36.679
<v Speaker 5>That CEOs ask, which is what do you provide me?

0:26:36.760 --> 0:26:39.159
<v Speaker 5>That's more than just capital, And the point is we

0:26:39.240 --> 0:26:43.000
<v Speaker 5>provide expertise, we provide access, we provide talent so that

0:26:43.040 --> 0:26:45.080
<v Speaker 5>they can really achieve their dreams. Just like you know,

0:26:45.119 --> 0:26:48.160
<v Speaker 5>Antonadel lovable, I love Insight Onsite.

0:26:48.640 --> 0:26:51.320
<v Speaker 3>That's actually twenty five years that you've been bringing this

0:26:51.440 --> 0:26:53.439
<v Speaker 3>to bear. And what is it that you learn at

0:26:53.480 --> 0:26:55.800
<v Speaker 3>the moment that leaders are needing of you? Where is

0:26:55.840 --> 0:26:57.480
<v Speaker 3>the guidance making most impact?

0:26:57.880 --> 0:27:01.760
<v Speaker 5>Yeah, So we have an accelerator program because, as you mentioned,

0:27:02.520 --> 0:27:05.080
<v Speaker 5>everything is changing with AI and we need our portfolio

0:27:05.119 --> 0:27:07.440
<v Speaker 5>companies to keep up with the pace of change. There

0:27:07.520 --> 0:27:11.000
<v Speaker 5>is a difference between those companies that are AI native

0:27:11.359 --> 0:27:14.400
<v Speaker 5>and those are companies that are cloud native. Anton being

0:27:14.760 --> 0:27:17.479
<v Speaker 5>you know, AI native, and how do we help our

0:27:17.480 --> 0:27:21.840
<v Speaker 5>companies who are cloud native pivot and make that shift

0:27:21.880 --> 0:27:25.120
<v Speaker 5>towards adopting AI. And really we think about it as

0:27:25.119 --> 0:27:28.600
<v Speaker 5>our AI Accelerator and it starts with the CEO. So

0:27:28.680 --> 0:27:31.880
<v Speaker 5>the CEO is the person that really needs to understand

0:27:31.920 --> 0:27:34.800
<v Speaker 5>and adopt and drive the change and the transformation. So

0:27:34.840 --> 0:27:38.280
<v Speaker 5>we bring CEOs into our AI Accelerator program. It's a

0:27:38.280 --> 0:27:42.320
<v Speaker 5>six month program small cohorts of CEOs, and we help

0:27:42.359 --> 0:27:44.880
<v Speaker 5>them think about two areas that they need to drive

0:27:45.000 --> 0:27:47.800
<v Speaker 5>change in. The first is around AI in the product,

0:27:48.320 --> 0:27:51.000
<v Speaker 5>So how are they building AI into their products that

0:27:51.600 --> 0:27:54.480
<v Speaker 5>delight and deliver more value for customers? And then how

0:27:54.480 --> 0:27:57.400
<v Speaker 5>are they adopting AI in their business so that they

0:27:57.600 --> 0:27:59.159
<v Speaker 5>grow and scale more efficiently.

0:28:00.000 --> 0:28:01.600
<v Speaker 3>When you're looking at I think you've got more than

0:28:01.600 --> 0:28:05.000
<v Speaker 3>one hundred and thirty dedicated professionals getting on site, getting

0:28:05.200 --> 0:28:08.359
<v Speaker 3>really bedded in with these businesses and helping them accelerate.

0:28:09.119 --> 0:28:11.520
<v Speaker 3>When they're thinking of just the top down approach, it

0:28:11.680 --> 0:28:12.879
<v Speaker 3>becomes a talent question.

0:28:13.160 --> 0:28:14.600
<v Speaker 2>How are you finding that.

0:28:14.440 --> 0:28:16.800
<v Speaker 3>Being an area of bringing everyone on board, everyone wanting

0:28:16.800 --> 0:28:19.600
<v Speaker 3>to adopt, everyone wanting to ensure that these pilots have

0:28:19.680 --> 0:28:20.720
<v Speaker 3>been proven out to work.

0:28:20.880 --> 0:28:25.760
<v Speaker 5>Yes, so there is a strong ground swell among employees

0:28:25.800 --> 0:28:28.399
<v Speaker 5>to want to learn these tools. There is a fear

0:28:28.440 --> 0:28:29.960
<v Speaker 5>as well on the other side, that if they don't

0:28:30.040 --> 0:28:32.640
<v Speaker 5>learn the tools, that would they be disintermediated, would they

0:28:32.680 --> 0:28:35.240
<v Speaker 5>not have jobs? Instead, what we're seeing is that AI

0:28:35.320 --> 0:28:38.320
<v Speaker 5>is really augmenting people and making them more efficient and

0:28:38.520 --> 0:28:41.680
<v Speaker 5>better able to do some of their jobs. I'll give

0:28:41.680 --> 0:28:43.800
<v Speaker 5>you a great example. So one of our portfolio companies

0:28:43.840 --> 0:28:46.800
<v Speaker 5>works in the airline industry. They sell security and training

0:28:46.840 --> 0:28:51.240
<v Speaker 5>software to large airlines. There are more than seven thousand

0:28:51.320 --> 0:28:54.560
<v Speaker 5>incidents that are tracked day, types of incidents that attract today,

0:28:54.720 --> 0:28:57.040
<v Speaker 5>whether an aeroplane is on the ground, in the air,

0:28:57.120 --> 0:29:00.760
<v Speaker 5>on takeoff, fun landing, taxing, and these are connected across

0:29:00.880 --> 0:29:05.000
<v Speaker 5>thousands of airports every day. There is analysts to collect

0:29:05.040 --> 0:29:08.280
<v Speaker 5>that information. It's an LM problem in the making. I mean,

0:29:08.280 --> 0:29:10.560
<v Speaker 5>there's nothing better than a very large language model to

0:29:10.600 --> 0:29:12.720
<v Speaker 5>be able to analyze all of this information and to

0:29:12.800 --> 0:29:16.160
<v Speaker 5>really help those analysts provide the critical insights that keep

0:29:16.200 --> 0:29:19.400
<v Speaker 5>aircraft in the air, keep passengers safe, and basically keep

0:29:19.400 --> 0:29:23.480
<v Speaker 5>revenue flowing. So those analysts actually now feel like heroes,

0:29:23.520 --> 0:29:26.840
<v Speaker 5>whereas before they were spending hours but also behind the

0:29:26.920 --> 0:29:29.280
<v Speaker 5>times three weeks, four weeks before. Sometimes they got the

0:29:29.360 --> 0:29:32.040
<v Speaker 5>data and were able to produce the insights. So in

0:29:32.080 --> 0:29:34.720
<v Speaker 5>some ways, AI is really augmenting and helping them up

0:29:34.800 --> 0:29:37.560
<v Speaker 5>skill and making them the heroes of the situation.

0:29:38.000 --> 0:29:40.760
<v Speaker 3>And that's really about organic growth there. I think of

0:29:40.760 --> 0:29:42.840
<v Speaker 3>the expertise that you have learned over your career when

0:29:42.880 --> 0:29:44.800
<v Speaker 3>it comes to inorganic as well, and some of the

0:29:44.840 --> 0:29:47.200
<v Speaker 3>acquisitions that have been made of your portfolio companies into

0:29:47.200 --> 0:29:49.800
<v Speaker 3>bigger companies. But how much are you seeing the AARI

0:29:50.280 --> 0:29:54.160
<v Speaker 3>is a talent acquisition story and that companies portfolio companies

0:29:54.200 --> 0:29:55.840
<v Speaker 3>are looking out to buy others at this moment.

0:29:55.880 --> 0:29:58.040
<v Speaker 2>Is that something that you're helping guide through. Yes.

0:29:58.200 --> 0:30:01.440
<v Speaker 5>I think it's interesting that you say that private equity

0:30:01.440 --> 0:30:03.560
<v Speaker 5>has always been thought of as the domain for M

0:30:03.560 --> 0:30:07.160
<v Speaker 5>and A, you know, buy and build, build a platform company,

0:30:07.200 --> 0:30:09.120
<v Speaker 5>but we think of it as also a domain for

0:30:09.200 --> 0:30:11.480
<v Speaker 5>venture capital. And the on site team has created and

0:30:11.560 --> 0:30:14.560
<v Speaker 5>expertise to help our companies make those acquisitions for exactly

0:30:14.600 --> 0:30:18.160
<v Speaker 5>as you say, either geographic expansion or potential new products

0:30:18.160 --> 0:30:20.680
<v Speaker 5>to put in and for equi hires. And that is

0:30:20.720 --> 0:30:22.520
<v Speaker 5>one of the ways that our companies are able to

0:30:22.560 --> 0:30:25.520
<v Speaker 5>access some of this AI talent because these you know,

0:30:25.680 --> 0:30:30.200
<v Speaker 5>new AI natives are starting AI first thinking companies and

0:30:30.280 --> 0:30:32.880
<v Speaker 5>some of those companies are right for acquisition by some

0:30:32.920 --> 0:30:34.760
<v Speaker 5>of our companies who are looking for their talent.

0:30:35.520 --> 0:30:38.040
<v Speaker 3>It's fascinating to have thirty years of insight in twenty

0:30:38.120 --> 0:30:40.080
<v Speaker 3>five years that you've been building this team of on

0:30:40.200 --> 0:30:42.880
<v Speaker 3>site expertise. It's wonderful to have you here on the show.

0:30:42.880 --> 0:30:45.160
<v Speaker 3>I hope you do come back soon. Hillary, of course,

0:30:45.320 --> 0:30:48.200
<v Speaker 3>is over at Insight Partners. Hillary Gosha, Managing Director. There

0:30:48.480 --> 0:30:51.720
<v Speaker 3>now coming up robots are doing more for law enforcement,

0:30:51.920 --> 0:30:55.320
<v Speaker 3>but as police departments invest more in these machines, ethical

0:30:55.400 --> 0:31:10.320
<v Speaker 3>questions are arising. 's next as a Bloomberg Tech, It's

0:31:10.360 --> 0:31:12.440
<v Speaker 3>time now for talking tech and first up into It

0:31:12.480 --> 0:31:14.160
<v Speaker 3>will spend more than one hundred million dollars on a

0:31:14.240 --> 0:31:16.959
<v Speaker 3>multi year deal with open Ai, aiming to make its

0:31:17.000 --> 0:31:20.400
<v Speaker 3>apps like TurboTax and QuickBooks more valuable with generator of

0:31:20.400 --> 0:31:21.120
<v Speaker 3>AI for.

0:31:21.080 --> 0:31:23.520
<v Speaker 2>The chatchbt maker. While the deal is part of a push.

0:31:23.320 --> 0:31:26.440
<v Speaker 3>To get consumers and businesses to rely more on its

0:31:26.520 --> 0:31:29.640
<v Speaker 3>AI tools plus I Do Will, It's posted its worst

0:31:29.680 --> 0:31:32.440
<v Speaker 3>sales fall on record. The Chinese search Chinet has seen

0:31:32.520 --> 0:31:35.280
<v Speaker 3>ad and marketing spend move to rival social apps.

0:31:35.520 --> 0:31:38.320
<v Speaker 2>Meanwhile, it's struggled to keep up in crowded.

0:31:37.920 --> 0:31:43.000
<v Speaker 3>AI race ul Jaomi, which sold its first card just

0:31:43.120 --> 0:31:46.000
<v Speaker 3>last year, is turning a profit from electric vehicle sales.

0:31:46.160 --> 0:31:48.880
<v Speaker 3>The company's EV division posted a profit of approximately ninety

0:31:48.920 --> 0:31:50.480
<v Speaker 3>eight million dollars in the September quarter.

0:31:50.840 --> 0:31:52.400
<v Speaker 2>Shaomi plans to boost.

0:31:52.080 --> 0:31:54.800
<v Speaker 3>Its EV production so it looks to compete with Tesla

0:31:55.080 --> 0:31:56.160
<v Speaker 3>and byd.

0:31:57.280 --> 0:31:57.560
<v Speaker 2>Now.

0:31:57.880 --> 0:32:01.520
<v Speaker 3>You may know this particular a mechanical dog we'll show

0:32:01.560 --> 0:32:05.320
<v Speaker 3>you in a minute for its firal dance routines, but

0:32:05.680 --> 0:32:09.320
<v Speaker 3>Boston Dynamics four legged robot Spot is also playing an

0:32:09.320 --> 0:32:13.160
<v Speaker 3>increasing role in law enforcement. According to previously unreported news,

0:32:13.560 --> 0:32:17.120
<v Speaker 3>more than sixty bomb squads and swap teams across the US.

0:32:16.960 --> 0:32:18.400
<v Speaker 2>And Canada are now using Spot.

0:32:18.600 --> 0:32:21.320
<v Speaker 3>Our consumer tech reporters Samantha Kelly joins US Now for

0:32:21.440 --> 0:32:24.640
<v Speaker 3>more and sam, I mean, how is this being adopted in?

0:32:24.640 --> 0:32:28.040
<v Speaker 2>What situations? Are we seeing them really take these on? Yeah,

0:32:28.080 --> 0:32:29.240
<v Speaker 2>this is really fascinating.

0:32:29.240 --> 0:32:31.760
<v Speaker 13>So we've seen some headlines over the years of Spot

0:32:31.840 --> 0:32:34.240
<v Speaker 13>showing up maybe at a crime scene, but now we're

0:32:34.280 --> 0:32:38.520
<v Speaker 13>getting new data from Boston Dynamics that shows more law

0:32:38.600 --> 0:32:42.560
<v Speaker 13>enforcement units across the US and Canada are implementing bringing

0:32:42.640 --> 0:32:46.760
<v Speaker 13>these robotic dogs into their forces to help out in

0:32:46.800 --> 0:32:53.320
<v Speaker 13>hostage situations or chemical materials that are sensitive, like going

0:32:53.360 --> 0:32:56.320
<v Speaker 13>in to see if something is hazardous. Basically to prevent

0:32:57.160 --> 0:33:00.240
<v Speaker 13>law enforcement from entering somewhere. This dog can go win,

0:33:00.520 --> 0:33:04.480
<v Speaker 13>it can climb stairs, it can open doors. It basically

0:33:04.520 --> 0:33:07.840
<v Speaker 13>acts as a separate set of eyes. There's a live

0:33:07.960 --> 0:33:12.360
<v Speaker 13>camera feed, so an operator standing quite far away from

0:33:12.360 --> 0:33:15.479
<v Speaker 13>a scene can go in assess the situation, and more

0:33:15.560 --> 0:33:18.000
<v Speaker 13>law enforcement units, Like I said, over sixty now in

0:33:18.040 --> 0:33:21.680
<v Speaker 13>the US, but also we're seeing it overseas. Police in

0:33:21.760 --> 0:33:24.320
<v Speaker 13>Italy are also using it the Dutch ministry and it

0:33:24.400 --> 0:33:29.600
<v Speaker 13>still remains quite popular and manufacturing and other facilities as well.

0:33:30.160 --> 0:33:32.840
<v Speaker 3>They aren't cheap, starting at one hundred thousand dollars, so

0:33:33.120 --> 0:33:35.280
<v Speaker 3>the reward needs to be large. But what about some

0:33:35.320 --> 0:33:37.280
<v Speaker 3>of the ethical implications here, Soum briefly.

0:33:37.800 --> 0:33:40.440
<v Speaker 13>Yeah, so it starts at one hundred thousand dollars, to

0:33:40.480 --> 0:33:42.640
<v Speaker 13>your point that it can go way up from that.

0:33:42.640 --> 0:33:45.360
<v Speaker 13>We're seeing two hundred and fifty thousand in some situations.

0:33:45.360 --> 0:33:49.880
<v Speaker 13>But yes, ethical implifications here calling for more regulation around

0:33:49.880 --> 0:33:52.760
<v Speaker 13>this from the state and even federal level down the line.

0:33:53.320 --> 0:33:56.160
<v Speaker 13>You know, Boston Dynamics has some rules in place, but

0:33:56.320 --> 0:34:00.160
<v Speaker 13>perhaps some community guidelines are needed as well. Also, a

0:34:00.160 --> 0:34:04.760
<v Speaker 13>lot of law enforcement units can't afford these different devices,

0:34:04.800 --> 0:34:08.120
<v Speaker 13>so there's some you know, talking around that as well.

0:34:08.480 --> 0:34:11.440
<v Speaker 13>So just really people trying to get used to seeing,

0:34:12.239 --> 0:34:14.160
<v Speaker 13>you know, something like this at a crime scene or

0:34:14.160 --> 0:34:17.440
<v Speaker 13>at a situation. Making sure that them that the public

0:34:17.480 --> 0:34:19.280
<v Speaker 13>feels comfortable as well.

0:34:19.960 --> 0:34:22.720
<v Speaker 3>Makes Sam Kelly fascinating on all things spot.

0:34:22.920 --> 0:34:24.279
<v Speaker 2>While the price of Spot.

0:34:24.080 --> 0:34:26.320
<v Speaker 3>Is now quite well above the price of Bitcoin, it

0:34:26.320 --> 0:34:29.439
<v Speaker 3>seems crypto selloff has just been taking a pause. But look,

0:34:29.480 --> 0:34:32.600
<v Speaker 3>we're still in ninety three three, four hundred and twenty,

0:34:32.680 --> 0:34:35.800
<v Speaker 3>let's call it. It actually tumbled below ninety thousand dollars overnight

0:34:35.800 --> 0:34:37.080
<v Speaker 3>for the first time since April.

0:34:37.440 --> 0:34:38.839
<v Speaker 2>Numo's crypto reporter.

0:34:38.920 --> 0:34:41.960
<v Speaker 3>Miaoshen joins us now and it feels as though we've

0:34:42.000 --> 0:34:44.480
<v Speaker 3>got a little line of stability. But do we know

0:34:44.520 --> 0:34:46.440
<v Speaker 3>who's going to be a buyer in this market? Is

0:34:46.480 --> 0:34:48.000
<v Speaker 3>it institutional or is it retail?

0:34:48.880 --> 0:34:50.959
<v Speaker 14>I think for now what we're seeing is that there's

0:34:51.000 --> 0:34:53.400
<v Speaker 14>definitely some buyers has stepped in like as of a

0:34:53.440 --> 0:34:55.440
<v Speaker 14>today because we saw sort of, as you said, a

0:34:55.480 --> 0:34:58.560
<v Speaker 14>little as stability in the market at the moment. But

0:34:58.600 --> 0:35:01.120
<v Speaker 14>what we're stroggling figure out actually who's going to be

0:35:01.160 --> 0:35:03.279
<v Speaker 14>the new buyers right. I think right now we have

0:35:03.360 --> 0:35:05.520
<v Speaker 14>a lot of these like that or the Digital Treasury

0:35:05.520 --> 0:35:09.120
<v Speaker 14>complaints similar to micro Saler's strategy that perhaps going to

0:35:09.200 --> 0:35:11.799
<v Speaker 14>coming out later this year or QY in next year.

0:35:12.040 --> 0:35:13.960
<v Speaker 14>I think they're expected to be the buyers of the

0:35:14.040 --> 0:35:15.720
<v Speaker 14>market in the near future.

0:35:16.080 --> 0:35:18.560
<v Speaker 3>What's so interesting as well is during the government shutdown,

0:35:18.600 --> 0:35:20.799
<v Speaker 3>we know that the list of ETF applications has been

0:35:20.840 --> 0:35:23.680
<v Speaker 3>piling up over the sec Many people want to have

0:35:23.760 --> 0:35:26.120
<v Speaker 3>more ETFs that are related to crypto, but not always

0:35:26.120 --> 0:35:29.239
<v Speaker 3>about bitcoin. We know bitcoins taken ahead, but the old

0:35:29.280 --> 0:35:32.680
<v Speaker 3>coins have really been selling fast and furiously. Is that

0:35:32.760 --> 0:35:36.239
<v Speaker 3>something just the market's okay with it stomachs that volatility.

0:35:36.560 --> 0:35:38.839
<v Speaker 14>I think it's quite concerning in terms of what's going

0:35:38.840 --> 0:35:41.040
<v Speaker 14>on in the auto coins right because I think they're

0:35:41.080 --> 0:35:45.200
<v Speaker 14>still struggling to find support after the October market crash

0:35:45.239 --> 0:35:48.239
<v Speaker 14>in crypto because some of the auto coins in the

0:35:48.239 --> 0:35:51.160
<v Speaker 14>market crash went down to zero on some of the exchanges.

0:35:51.560 --> 0:35:53.880
<v Speaker 14>Can you imagine as a retail investor just holding a

0:35:53.920 --> 0:35:55.840
<v Speaker 14>token and all of a sudden went down to zero

0:35:56.200 --> 0:36:00.839
<v Speaker 14>during this brief market crash, especially if you're holding leverage positions, right.

0:36:01.080 --> 0:36:03.440
<v Speaker 14>I think people ultimately do figure out, like, you know,

0:36:03.520 --> 0:36:05.720
<v Speaker 14>what are the fundamentals of these auto coins?

0:36:06.040 --> 0:36:07.600
<v Speaker 2>Are the projects behind it, like.

0:36:07.719 --> 0:36:10.160
<v Speaker 14>Generating any sort of revenue or they're just sort of

0:36:10.160 --> 0:36:11.839
<v Speaker 14>like you know, sort of created out of a thing

0:36:11.880 --> 0:36:14.239
<v Speaker 14>air or sort of like being meant as a joke.

0:36:14.360 --> 0:36:14.480
<v Speaker 7>Right.

0:36:14.520 --> 0:36:16.839
<v Speaker 14>I think that's the questions people have to sort of

0:36:16.880 --> 0:36:19.080
<v Speaker 14>like find out fundamentals.

0:36:19.280 --> 0:36:21.640
<v Speaker 3>It's a key question across all of this market. Mao

0:36:21.680 --> 0:36:22.600
<v Speaker 3>shn It's great.

0:36:22.440 --> 0:36:23.680
<v Speaker 2>To have you on. Thank you very much.

0:36:23.719 --> 0:36:26.160
<v Speaker 3>Indeed, I mean you are coming up more to come

0:36:26.160 --> 0:36:28.560
<v Speaker 3>on What to expect from that highly anticipated meeting. It's

0:36:28.640 --> 0:36:32.640
<v Speaker 3>kicked off between President Trump and NBS. Of course Mahammed

0:36:32.680 --> 0:36:35.760
<v Speaker 3>bin Salmon, the cram Prince of Saudi Arabia.

0:36:36.239 --> 0:36:37.320
<v Speaker 2>It's a pretty big tech.

0:36:48.400 --> 0:36:51.040
<v Speaker 3>Let's return to Washington now because Saudi Arabia's Cram Prince,

0:36:51.080 --> 0:36:53.759
<v Speaker 3>Mohammed bin Salmon is at the White House today meeting

0:36:53.800 --> 0:36:56.560
<v Speaker 3>with President Trump. The talks are expected to center on

0:36:56.680 --> 0:36:59.560
<v Speaker 3>deepening US Saudi ties and of course the focus on

0:36:59.640 --> 0:37:01.080
<v Speaker 3>tech investment, on innovation.

0:37:01.440 --> 0:37:03.520
<v Speaker 2>When bugs Tyler Kendall rejoins.

0:37:03.160 --> 0:37:05.600
<v Speaker 3>Us, you're live outside the White House and there was

0:37:05.680 --> 0:37:09.360
<v Speaker 3>much fanfare, a flyover, and a very warm welcome for

0:37:09.440 --> 0:37:12.279
<v Speaker 3>the leader of Saudi Arabia. Why is this relationship so

0:37:12.320 --> 0:37:13.759
<v Speaker 3>important from a tech perspective?

0:37:14.680 --> 0:37:17.440
<v Speaker 7>Yeah, hey, Caroline, Well, this is the Saudi Crown Prince's

0:37:17.440 --> 0:37:19.759
<v Speaker 7>first visits to the US in seven years, so, as

0:37:19.800 --> 0:37:22.320
<v Speaker 7>you're alluding to, there's a lot of pomp and circumstance

0:37:22.640 --> 0:37:25.360
<v Speaker 7>here today, as the White House has really viewed Saudi

0:37:25.360 --> 0:37:28.680
<v Speaker 7>Arabia as a strategic partner when it comes to investments

0:37:28.760 --> 0:37:32.120
<v Speaker 7>in the US, but also broadening out cooperation when it

0:37:32.160 --> 0:37:34.759
<v Speaker 7>comes to tech and artificial intelligence. We know at the

0:37:34.800 --> 0:37:37.799
<v Speaker 7>top of the agenda today Saudi Arabia is looking for

0:37:37.880 --> 0:37:40.920
<v Speaker 7>the US to green light those export licenses related to

0:37:41.000 --> 0:37:43.879
<v Speaker 7>advanced semiconductors. But we have reporting here at Bloomberg News

0:37:43.880 --> 0:37:47.200
<v Speaker 7>people familiar saying that right now those talks are centered

0:37:47.239 --> 0:37:50.040
<v Speaker 7>around one what sort of security conditions will be put

0:37:50.080 --> 0:37:54.040
<v Speaker 7>in place, and two, what are those specific reciprocal investments

0:37:54.160 --> 0:37:56.400
<v Speaker 7>Riot is willing to make in the US. I have

0:37:56.480 --> 0:37:59.600
<v Speaker 7>to say I was at the FII conference back in February.

0:37:59.640 --> 0:38:02.000
<v Speaker 7>That was a Saudi backed investment conference in Miami, and

0:38:02.000 --> 0:38:06.240
<v Speaker 7>it was President Trump's real first domestic trip since taking office,

0:38:06.280 --> 0:38:08.760
<v Speaker 7>and he made the pitch that he wanted more money

0:38:08.920 --> 0:38:11.239
<v Speaker 7>to be coming in from Saudi Arabia. A few months

0:38:11.320 --> 0:38:13.360
<v Speaker 7>later in May, we saw him visit the region and

0:38:13.480 --> 0:38:16.800
<v Speaker 7>secure a pledge for six hundred billion dollars in investments

0:38:16.800 --> 0:38:18.960
<v Speaker 7>in the US over the next four years. We know

0:38:19.040 --> 0:38:21.239
<v Speaker 7>a lot of this the administration wants to see in

0:38:21.320 --> 0:38:25.120
<v Speaker 7>these critical sectors that they have identified as being really important,

0:38:25.239 --> 0:38:28.239
<v Speaker 7>particularly when it comes to our competition in China, such

0:38:28.239 --> 0:38:31.160
<v Speaker 7>as data centers and AI. So we're watching really closely

0:38:31.400 --> 0:38:34.920
<v Speaker 7>whether or not there are any specific investments announcements related

0:38:34.920 --> 0:38:36.880
<v Speaker 7>to that. That of course goes hand in hand with

0:38:36.920 --> 0:38:39.520
<v Speaker 7>the second bucket we're watching here, which is defense today,

0:38:39.520 --> 0:38:42.320
<v Speaker 7>as President Trump has indicated that he's set to approve

0:38:42.360 --> 0:38:44.880
<v Speaker 7>the sale of F thirty five fighter jets amid some

0:38:44.960 --> 0:38:48.239
<v Speaker 7>concerns one again with those chips access that China could

0:38:48.280 --> 0:38:51.200
<v Speaker 7>have considering the close ties between the Kingdom and Beijing,

0:38:51.400 --> 0:38:53.440
<v Speaker 7>but then also what that means for Israel. We know that,

0:38:53.520 --> 0:38:55.960
<v Speaker 7>of course, Caroline, that they have a monopoly over the

0:38:56.000 --> 0:38:57.880
<v Speaker 7>advanced fighter jet technology in the region.

0:38:58.200 --> 0:39:00.279
<v Speaker 2>Be Mes Tyler Kendall not from the White House.

0:39:00.320 --> 0:39:03.120
<v Speaker 3>We so appreciate it busy day there, busy day across

0:39:03.120 --> 0:39:05.640
<v Speaker 3>tech that does it for this aosition of Bloomberg Technology.

0:39:05.680 --> 0:39:07.920
<v Speaker 2>But do not forget to check out our podcast you

0:39:07.920 --> 0:39:09.320
<v Speaker 2>can find out on the terminal as well as online

0:39:09.320 --> 0:39:10.960
<v Speaker 2>on Apple, Spotify, and iHeart.

0:39:11.360 --> 0:39:13.319
<v Speaker 3>And keep an eye on some of those big tech

0:39:13.400 --> 0:39:15.759
<v Speaker 3>names as we anticipate in videos numbers after the bell

0:39:15.840 --> 0:39:17.080
<v Speaker 3>tomorrow from New York.

0:39:17.160 --> 0:39:18.120
<v Speaker 2>This is Bloomberg Tech.