WEBVTT - Bitcoin Tops $30,000 and the Pentagon's Leaked Intelligence

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<v Speaker 1>From hard where Innovation, Money and Power Collie in Silicon Valley, NBR.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hide and Ed Lovedlow

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<v Speaker 1>in Caroline Hide every Bloomberg's World headquarters in New York,

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<v Speaker 1>and I'm Ed Lovelow in San Francisco. This is Bloomberg

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<v Speaker 1>Technology iming our Bitcoin tops thirty thousand dollars. We'll discuss

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<v Speaker 1>what's driving the gains the assets getting a boost on

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<v Speaker 1>those moves. Class will take a deep dive into one

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<v Speaker 1>of the biggest US intelligence leaks in recent history. More

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<v Speaker 1>details on the breach ahead, and we'll be all across

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<v Speaker 1>the race for artificial intelligence dominance capital g Anous is

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<v Speaker 1>one hundred million dollar funding round for an AI research platform,

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<v Speaker 1>Alpha Sense. But first let's check in on these public markets,

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<v Speaker 1>because actually tech is feeling little less love than the

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<v Speaker 1>rest of the benchmarks. Today we're up by four ten

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<v Speaker 1>percent on the NASAC all important data point. You heard

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<v Speaker 1>it from Alex Guy just earlier. The CPI print tomorrow.

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<v Speaker 1>A little bit of nervousness therefore around owning big tech.

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<v Speaker 1>Some of the key tech names as will drill into

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<v Speaker 1>a little bit later, But All Country World Index interesting

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<v Speaker 1>me on the higher side. Europe came back after the

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<v Speaker 1>Easter holiday, the extended break and managed to put a

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<v Speaker 1>little bit of fuel under that fire. Two year yield though,

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<v Speaker 1>just rises up some five basis points. As we all

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<v Speaker 1>attention on CPI and what it means for the federals

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<v Speaker 1>EVE move it on. What's happening in terms of crypto

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<v Speaker 1>thirty thousand dollars well above Now we managed to break

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<v Speaker 1>three of that trading range at the twenty eight thousand.

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<v Speaker 1>We were generally languishing around for the past few weeks,

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<v Speaker 1>and what does it mean some really psychological levels being hit? Now?

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<v Speaker 1>Are we going back to eclipsing the prices where we

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<v Speaker 1>saw the three hours capital disintegration where you saw Terra

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<v Speaker 1>Luna de marcle. We're now up seven percent over the

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<v Speaker 1>last two days. Yeah, the big question is still why.

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<v Speaker 1>But the what is playing out in equity markets as well?

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<v Speaker 1>You look at crypto related stocks, we're markedly higher in

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<v Speaker 1>a number of actually want to go to micro Strategy

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<v Speaker 1>because the four billion dollar bet that it made on bitcoin.

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<v Speaker 1>That company is now back in the black because bitcoin

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<v Speaker 1>is trading above the average transaction price. There's so much

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<v Speaker 1>out there today about well, what happens if the FED

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<v Speaker 1>brings rates back down? What does that mean for Bitcoin?

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<v Speaker 1>What happens if we enter a recession? Then you look

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<v Speaker 1>at the relative performance of Bitcoin to other I guess

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<v Speaker 1>risk assets, you know, in terms of the best performance

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<v Speaker 1>of the year. I still don't have a great sense

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<v Speaker 1>on what is happening. Luckily, we've got a couple of guests,

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<v Speaker 1>so go be perfectly placed to discuss it all as

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<v Speaker 1>well as the upgrade as soon as tomorrow. But in begs,

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<v Speaker 1>Katie Greifeld kicks us off, Katie, what are you seeing

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<v Speaker 1>around the world of crypto at the moment? What don't

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<v Speaker 1>you There are so many narratives as to what could

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<v Speaker 1>be pushing bitcoin higher. In particular, there's a lot of narratives.

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<v Speaker 1>There's no satisfying answer other than the one that this

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<v Speaker 1>is a macro asset. It tends to follow sort of

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<v Speaker 1>the macro narrative that's of the day and of the day.

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<v Speaker 1>Of the past few weeks, the narrative has been that

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<v Speaker 1>the FED is going to be forced to cut rates

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<v Speaker 1>at some point this year. That would obviously be good

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<v Speaker 1>news for the likes of tech, for the likes of crypto.

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<v Speaker 1>When you think about that low interest rate environment that

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<v Speaker 1>really pushed investors out the risk spectrum. What's been interesting

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<v Speaker 1>over the past few days is that you've seen bitcoin

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<v Speaker 1>sort of break apart from tech. Today is a great

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<v Speaker 1>example of Bitcoin up what almost four percent. Then you

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<v Speaker 1>look at the NAZAC one hundred down about half a

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<v Speaker 1>percent or so, so maybe those correlations coming apart a

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<v Speaker 1>bit to the benefit of bitcoin. I would say, though,

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<v Speaker 1>that liquidity in this space is still very, very low

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<v Speaker 1>despite this rebound. I think it's also a question of

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<v Speaker 1>who is in this market, who is buying right where

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<v Speaker 1>the thirty thousand US dollar potoken mark for the first

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<v Speaker 1>time since June of last year, but still significantly far

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<v Speaker 1>from the November twenty twenty one high. What are the

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<v Speaker 1>big forces in terms of institutions names driving this market, Katie,

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<v Speaker 1>None to speak of, really, and that's part of the

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<v Speaker 1>reason why you have liquidity so low right now. According

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<v Speaker 1>to some measures, bitcoin equidity hovering near a ten month low.

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<v Speaker 1>You haven't really seen a big institutional push with this rebound,

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<v Speaker 1>and if you look at some of the retail flows

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<v Speaker 1>I like to track exchange traded products both in the

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<v Speaker 1>US and Europe, you really haven't seen any meaningful influence

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<v Speaker 1>to speak of. So the tourists are gone from this market,

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<v Speaker 1>the institutions are gone from this market. You're left with

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<v Speaker 1>sort of the crypto believers who are pushing the price

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<v Speaker 1>higher again in very low liquidity, which has helped to

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<v Speaker 1>the upside. But if we get some sort of upset,

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<v Speaker 1>perhaps in the form of a more hawkish FED than expected,

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<v Speaker 1>that low liquidity could exacerbate things to the downside as well.

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<v Speaker 1>All right, bloom bows, Katie Greyfeld, thank you very much.

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<v Speaker 1>Welcome now Spencive bog At Blockchain Capital or general partner

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<v Speaker 1>here with me in San Francisco. You are essentially a

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<v Speaker 1>fundamental investment analysts. You lead research. What did the fundamentals

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<v Speaker 1>tell you about what on earth is happening with bitcoin

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<v Speaker 1>right now? So most the fundamentals that we deal with

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<v Speaker 1>are early stage, But which fundamentals are there any fundamentals point? So,

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<v Speaker 1>most of the fundamentals we work with for early stage

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<v Speaker 1>startups are related to all the things you'd see in

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<v Speaker 1>any traditional software startup. Right We're looking at user growth,

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<v Speaker 1>we're looking at transaction activity depending on the particular company.

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<v Speaker 1>Now here for bitcoin, when we're trying to describe or

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<v Speaker 1>explain the price action. We always want to come back

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<v Speaker 1>to one reason, but the reality is that there's a

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<v Speaker 1>wide variety of market participants in crypto, and so I

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<v Speaker 1>think that there's myriad factors at play simultaneously. You already

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<v Speaker 1>touched on a few of those, but one of them

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<v Speaker 1>is the lingering inflation. Say, I want to channel my

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<v Speaker 1>inner Katie Greifeld, Sure, because she lives bitcoin second by second. Yeah,

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<v Speaker 1>and she basically points out no earnings, no cash flow,

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<v Speaker 1>no underlying business for you to analyze. You actually just

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<v Speaker 1>pointed out the opposite. Those are exactly the sort of

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<v Speaker 1>criteria looking at when assessing bitcoins. Push higher. Sure, So

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<v Speaker 1>I mean for a lot of people looking at this,

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<v Speaker 1>I think they're seeing there's still some concerns about inflation.

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<v Speaker 1>So the idea of a scarce asset with a fixed

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<v Speaker 1>supply has appeal. There's still some lingering banking concerns, even

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<v Speaker 1>though the peak of the concerns have died down. But

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<v Speaker 1>that increases demand for an asset that people can securely

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<v Speaker 1>self custody as owners. Right. So those are two of

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<v Speaker 1>maybe the four reasons I'd say that are driving bitcoin higher. Hey, Caro,

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<v Speaker 1>In the technology sector, whether it's equities, whether it's crypto.

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<v Speaker 1>If in doubt go back to inflation in the FED.

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<v Speaker 1>I mean that was always the argument. Was it an

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<v Speaker 1>inflation hedge that didn't seem to bear out from the

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<v Speaker 1>numbers when we saw inflation spencer. But we do see

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<v Speaker 1>it more of a buffeted about by the Federal Reserve

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<v Speaker 1>and risk tolerance. What about institutional players we're talking to

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<v Speaker 1>Katie about that, are they starting to be tempted to

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<v Speaker 1>come end back in when we see a thirty thousand level. Absolutely,

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<v Speaker 1>I think for the institutional players, I mean, listen, we

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<v Speaker 1>run a venture capital fund that invest in early stage companies.

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<v Speaker 1>A lot of our limited partners in our fund are

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<v Speaker 1>large institutional allocators, endowments and pension funds in an increasing

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<v Speaker 1>number of them own cryptodirectly, primarily bitcoin and or ether,

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<v Speaker 1>but then they also want additional exposure via venture capital funds.

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<v Speaker 1>They're invested in the space, so there is absolutely an

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<v Speaker 1>appetite from them, But overall, I would say that most

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<v Speaker 1>of them allocated over the past couple of years and

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<v Speaker 1>have not been adding more recently. Go to eighth for us,

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<v Speaker 1>because we are looking towards what is the continuation of

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<v Speaker 1>the upgrade to more of a proof of state concept.

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<v Speaker 1>We're having the Shanghai upgrade tomorrow. In Layman's terms, what

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<v Speaker 1>does that mean? Do you expect there to be more

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<v Speaker 1>volatility around the space. I don't expect a lot of volatility,

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<v Speaker 1>but in Layman's terms, what's going on here is that

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<v Speaker 1>the way that the Ethereum network is secured is by

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<v Speaker 1>people providing or staking their capital their ether into the

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<v Speaker 1>protocol itself. They're rewarded for doing so financially. And what

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<v Speaker 1>happens tomorrow is people are now able to withdraw the

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<v Speaker 1>ether that they have stated. So this only started a

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<v Speaker 1>little over a year ago when we had the merge,

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<v Speaker 1>that of stake really came into into being, and now

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<v Speaker 1>we're about to see is that people can withdraw the

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<v Speaker 1>assets that they have staked. That said, from our conversations

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<v Speaker 1>around the market, we're not seen a lot of demand

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<v Speaker 1>for people to unstake their assets, so we mostly think

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<v Speaker 1>that this will be a non event tomorrow. Yes, when

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<v Speaker 1>so many have been saying it feels as though the

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<v Speaker 1>players who stake there, if they're long term committed to

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<v Speaker 1>the space, but ed whether or not vench capital remains

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<v Speaker 1>long term committed to the space amid some of the

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<v Speaker 1>debacles of last year. That's still the key question, particularly

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<v Speaker 1>as they know much more nervous to write checks. Yeah,

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<v Speaker 1>and that's where I would go to Spencer next. Because

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<v Speaker 1>we've been distracted by artificial intelligence, we've looked at volatility.

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<v Speaker 1>I mean, as an asset class, bitcoin still carries a

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<v Speaker 1>lot of volatility. Spenser. The root of my question is

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<v Speaker 1>have any of the sort of psychological drivers in this

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<v Speaker 1>market change so far in twenty twenty three when you

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<v Speaker 1>think about the SVB fallout, or has the cryptoc community

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<v Speaker 1>kind of just got on with it. Mostly people have

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<v Speaker 1>just gotten on with it, right, I mean, there are

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<v Speaker 1>some new headwinds I think from FTX collapse that are

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<v Speaker 1>presenting regulatory headwinds, but overall, the industry is just pushing forward.

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<v Speaker 1>It is much more organized than it has been historically,

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<v Speaker 1>at least in terms of tackling some of these regulatory

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<v Speaker 1>and political issues. So overall, what we're seeing is for

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<v Speaker 1>venture capital firms, they're following the talent and they're watching

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<v Speaker 1>there continues to be a flow of high quality talent

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<v Speaker 1>into cryptocompanies and crypto markets. Spencie, you just mentioned that

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<v Speaker 1>though that got on with it amid the collapse of

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<v Speaker 1>signature of Silva Silva Gate. I'm interested in the banking

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<v Speaker 1>rails though, and how much that has impacted liquidity. It's

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<v Speaker 1>certainly been an impact. I mean, several of the largest

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<v Speaker 1>banks that were servicing crypto companies provided critical infrastructure for

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<v Speaker 1>all of those companies to be able to exchange capital

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<v Speaker 1>on a twenty four seven basis. That's particularly important for

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<v Speaker 1>crypto markets that operate twenty four seven three sixty five.

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<v Speaker 1>Now some of those banks have been put out of business,

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<v Speaker 1>and there is an open opportunity for someone to recreate

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<v Speaker 1>the infrastruct the previously existed. All Right, Spencer Boga blockchain

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<v Speaker 1>capital with bitcoin and around thirty thousand, two hundred and

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<v Speaker 1>fifty nine dollars per token. The US is facing tough

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<v Speaker 1>questions from allies after a trove of classified documents were

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<v Speaker 1>leaked online to the global public. Former US National security

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<v Speaker 1>advisor that's John Bolton spoke about the league earlier on

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<v Speaker 1>Bags of Valence Taken Listen. I would also caution at

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<v Speaker 1>this point that we not draw too many conclusions that

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<v Speaker 1>this could be an influence operation by somebody we don't

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<v Speaker 1>know who And once you get into the world of

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<v Speaker 1>counter intelligence, it makes being in a whole mirrors look easy.

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<v Speaker 1>It's very complicated. Let's try and break down some of

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<v Speaker 1>the complexities with our own. Nick Wadhams, he's Bloomberg News

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<v Speaker 1>National Security editor, just how big a trove of information

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<v Speaker 1>is this ening? Well, it's pretty darn and it really

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<v Speaker 1>confirms in a lot of ways what we had known

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<v Speaker 1>and what US officials had been telling us publicly about

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<v Speaker 1>what their really biggest fears are. And the big one

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<v Speaker 1>there is Ukraine and specifically the possibility that Ukraine will

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<v Speaker 1>run out of ammunition in the fight against Russia, both

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<v Speaker 1>artillery shells but also air defenses. So it seems to

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<v Speaker 1>be we're really peeling back the veneer a bit and

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<v Speaker 1>getting into the real nitty gritty of just how worried

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<v Speaker 1>US officials are about how Ukraine's going to be able

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<v Speaker 1>to defend itself against Russia. Nick, when we look over

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<v Speaker 1>history at leaks of this kind, the questions quickly become

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<v Speaker 1>where the documents originated from and they're authenticity? Right? What

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<v Speaker 1>have officials I'd said on that? Well, this is really

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<v Speaker 1>the big question that we're all trying to figure out,

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<v Speaker 1>So how authentic are they and in what ways were

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<v Speaker 1>these documents potentially manipulated. You had John Bolton on saying,

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<v Speaker 1>you know, this could have been a counter intelligence operation itself,

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<v Speaker 1>and you know, so there is a big question about

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<v Speaker 1>how authentic these documents are and what the reason was

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<v Speaker 1>for their leak. So if this is someone on the

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<v Speaker 1>inside saying this has to get out to expose what's

0:12:13.640 --> 0:12:16.040
<v Speaker 1>really going on behind the scenes, well that's one thing,

0:12:16.080 --> 0:12:19.439
<v Speaker 1>sort of an Edward Snowden Chelsea Manning type of situation.

0:12:19.559 --> 0:12:22.400
<v Speaker 1>Or if this is Russia that got those documents and

0:12:22.440 --> 0:12:25.720
<v Speaker 1>then manipulated some of the numbers in there to create

0:12:25.760 --> 0:12:28.000
<v Speaker 1>a false impression, you know, I mean this is again

0:12:28.040 --> 0:12:31.080
<v Speaker 1>that hall of mirrors at John Bolton referenced Nick. So, actually,

0:12:31.320 --> 0:12:36.400
<v Speaker 1>when we're sitting here as technology consumers of information, is

0:12:36.440 --> 0:12:40.280
<v Speaker 1>this a cyber threatened hack or actually is when will

0:12:40.320 --> 0:12:42.360
<v Speaker 1>we understand whether this is something that the US could

0:12:42.360 --> 0:12:46.480
<v Speaker 1>have protected. Well, it's a great question because it's it's

0:12:46.520 --> 0:12:49.719
<v Speaker 1>going to again run us up against what US officials

0:12:50.120 --> 0:12:53.200
<v Speaker 1>tell us and what the truth may actually be. So

0:12:53.280 --> 0:12:55.920
<v Speaker 1>we know there is an investigation going on right now.

0:12:56.559 --> 0:12:59.240
<v Speaker 1>The big question will be Okay, it was this a leak?

0:12:59.480 --> 0:13:01.440
<v Speaker 1>Was this some on the inside who got this? Else?

0:13:01.679 --> 0:13:05.320
<v Speaker 1>Was this a hack? Was this some sort of counterintelligence operation?

0:13:05.600 --> 0:13:08.560
<v Speaker 1>There's so much we don't know, and so much likely

0:13:08.600 --> 0:13:11.520
<v Speaker 1>they're not going to tell us because to tell us

0:13:11.600 --> 0:13:14.600
<v Speaker 1>what exactly happened here is in turn going to expose

0:13:15.000 --> 0:13:17.840
<v Speaker 1>US sources and methods. So we're still trying to sift

0:13:17.840 --> 0:13:21.040
<v Speaker 1>through all of that stuff. My suspicion is, given the

0:13:21.080 --> 0:13:23.320
<v Speaker 1>gravity of this and what US officials have been willing

0:13:23.320 --> 0:13:25.600
<v Speaker 1>to say about how grave this leak is, that it

0:13:25.760 --> 0:13:27.600
<v Speaker 1>was in fact a leak or a hack and not

0:13:28.240 --> 0:13:32.520
<v Speaker 1>some sort of influence operation. All right, our thanks to

0:13:32.559 --> 0:13:36.200
<v Speaker 1>Bloomberg Nick quadens out of DC on Bloomberg Technology here

0:13:36.480 --> 0:13:39.200
<v Speaker 1>now Over in the UK, m I five, which is

0:13:39.240 --> 0:13:43.640
<v Speaker 1>Britain's domestic intelligence service, is appointing its first female head

0:13:43.800 --> 0:13:48.760
<v Speaker 1>of its cyber spying agency GCHQ. Ankist Butler, the current

0:13:48.840 --> 0:13:51.840
<v Speaker 1>Deputy Director General, will take up her new posts in May.

0:13:52.080 --> 0:13:54.800
<v Speaker 1>The change in leadership comes at a pretty sensitive time

0:13:54.880 --> 0:13:57.000
<v Speaker 1>is the US and its allies, as we've just discussed,

0:13:57.240 --> 0:14:00.120
<v Speaker 1>continue to deal with the fallout of the series of

0:14:00.160 --> 0:14:04.000
<v Speaker 1>intelligence leaks have emerged online in recent days. She will

0:14:04.040 --> 0:14:06.920
<v Speaker 1>replace the outgoing director Sir Jeremy Fleming, who's held that

0:14:07.000 --> 0:14:10.439
<v Speaker 1>position for the last six years. Caroline, stick with Cybersecurity

0:14:10.480 --> 0:14:12.439
<v Speaker 1>for a moment, because we're going to look at shares

0:14:12.480 --> 0:14:15.880
<v Speaker 1>of Acami right now after being upgraded by Papisanla to overweight,

0:14:16.200 --> 0:14:17.719
<v Speaker 1>managing to tick up two and a half percent. The

0:14:17.720 --> 0:14:20.280
<v Speaker 1>analyst sighting and recent Paul black and shares the offering

0:14:20.280 --> 0:14:22.400
<v Speaker 1>an opportunity to get into the stock as the company

0:14:22.480 --> 0:14:25.160
<v Speaker 1>is likely to refocus its profit strategy and speaking to

0:14:25.200 --> 0:14:28.840
<v Speaker 1>some analyst calls, look at NASDAK the company Nazdac Inc.

0:14:29.080 --> 0:14:31.680
<v Speaker 1>The shares of you know, the stock exchange operator is

0:14:31.680 --> 0:14:34.480
<v Speaker 1>downgraded to equal weight from overweight over Morgan Stanley. The

0:14:34.480 --> 0:14:38.440
<v Speaker 1>analyst sees risks to growth for the outlook of Nasdac Solutions.

0:14:38.520 --> 0:14:40.720
<v Speaker 1>It's the business that makes up actually seventy percent of

0:14:40.760 --> 0:14:44.600
<v Speaker 1>the company's revenue. Nevertheless, trading flat on the day coming up,

0:14:45.200 --> 0:14:48.200
<v Speaker 1>and we'll wonder how banks stack up when it comes

0:14:48.240 --> 0:14:51.320
<v Speaker 1>to well how they use artificial intelligence. We'll speak with

0:14:51.400 --> 0:14:56.080
<v Speaker 1>Evidence CEO about all the firm's recent report analyzing AI

0:14:56.200 --> 0:14:58.760
<v Speaker 1>in financial services. Even got a shout out from the

0:14:58.800 --> 0:15:21.680
<v Speaker 1>one I know need, Jamie Diamond it's bring back. This

0:15:21.800 --> 0:15:25.880
<v Speaker 1>is a incredibly disruptive new technology. I think we're seeing

0:15:25.920 --> 0:15:29.840
<v Speaker 1>opportunity and potential platform shift that we haven't seen in

0:15:29.840 --> 0:15:33.200
<v Speaker 1>a long time. Regulation can put us where we need

0:15:33.240 --> 0:15:35.920
<v Speaker 1>to be if we have the strength to put it

0:15:35.960 --> 0:15:38.640
<v Speaker 1>in place. I do think it's just impossible to regulate.

0:15:38.680 --> 0:15:43.600
<v Speaker 1>All the leading AI lebs know they're creating something dangerous,

0:15:43.720 --> 0:15:45.680
<v Speaker 1>but none of them really want to stop it. The

0:15:45.800 --> 0:15:48.840
<v Speaker 1>way that Chinese companies go about the AI space is different.

0:15:48.880 --> 0:15:52.760
<v Speaker 1>They just don't have the same approach toward the morality

0:15:52.800 --> 0:15:55.120
<v Speaker 1>around these technologies that we do in the US. The

0:15:55.160 --> 0:15:58.120
<v Speaker 1>impact on jobs is real, but it doesn't have a

0:15:58.200 --> 0:16:01.040
<v Speaker 1>super intelligence that will have mine of its own. It's

0:16:01.080 --> 0:16:03.840
<v Speaker 1>on all of us and particularly investors to think about

0:16:03.880 --> 0:16:07.520
<v Speaker 1>the questions and the potential falls, you know, as well

0:16:07.560 --> 0:16:11.520
<v Speaker 1>as of the opportunity and value it creates. The debates

0:16:11.520 --> 0:16:14.040
<v Speaker 1>are still clear our previous guests. They're weighing in on

0:16:14.080 --> 0:16:16.000
<v Speaker 1>what are the risks, what are the opportunities that come

0:16:16.000 --> 0:16:19.680
<v Speaker 1>when using particularly generative AI in various sectors? How will

0:16:19.720 --> 0:16:22.840
<v Speaker 1>AI we shape the competitive landscape? In particular? Go focus

0:16:22.880 --> 0:16:25.640
<v Speaker 1>in on banking right now is to help answer that question.

0:16:25.720 --> 0:16:28.120
<v Speaker 1>Alexandra musa is Ada. She is a CEO and co

0:16:28.200 --> 0:16:32.640
<v Speaker 1>founder of Evidence, which tracks AI integration in financial services. Alexandra,

0:16:32.840 --> 0:16:34.640
<v Speaker 1>you've got a bit of a shout out and JP

0:16:34.680 --> 0:16:38.600
<v Speaker 1>Morgan's annual letter Jamie Diamonds in particular, what is it

0:16:38.680 --> 0:16:41.560
<v Speaker 1>that you're doing? How are you measuring what AI is

0:16:41.680 --> 0:16:45.400
<v Speaker 1>being adopted by banks? So we are published about eight

0:16:45.440 --> 0:16:49.160
<v Speaker 1>weeks ago the first public benchmark on AI adoption for

0:16:49.280 --> 0:16:52.280
<v Speaker 1>banks and what we do it has not been done

0:16:52.320 --> 0:16:56.440
<v Speaker 1>before in terms of taking outside in view by holding

0:16:56.440 --> 0:16:59.640
<v Speaker 1>a mirror up to the banks and looking at the

0:16:59.760 --> 0:17:03.840
<v Speaker 1>AI capabilities. So what we do is that we go

0:17:03.880 --> 0:17:07.560
<v Speaker 1>and we measure the banks on the strength of their

0:17:07.560 --> 0:17:11.840
<v Speaker 1>AI ecosystem and then we rank them according to the

0:17:11.920 --> 0:17:15.240
<v Speaker 1>scores that they get against their strengths of this ecosystem,

0:17:15.280 --> 0:17:19.920
<v Speaker 1>which we break down into four areas talent, innovation, leadership,

0:17:19.920 --> 0:17:24.159
<v Speaker 1>and responsible AI. Okay, so talent bringing on the right

0:17:24.200 --> 0:17:25.879
<v Speaker 1>people the right parts of the banks you need to

0:17:25.880 --> 0:17:29.840
<v Speaker 1>build up. What about responsible AI? What are banks doing

0:17:29.840 --> 0:17:32.720
<v Speaker 1>about that at the moment? Yeah, it is, I mean

0:17:32.800 --> 0:17:36.639
<v Speaker 1>on the on the talent and the leadership and innovation side,

0:17:36.640 --> 0:17:38.600
<v Speaker 1>that's sort of really in the engine room. You know,

0:17:38.600 --> 0:17:42.920
<v Speaker 1>have you got the right talent AI? You know dev

0:17:43.119 --> 0:17:46.320
<v Speaker 1>ops and mL ops, and you look at implementation talent

0:17:46.400 --> 0:17:50.080
<v Speaker 1>and so on and on. The innovation is whether you're

0:17:50.080 --> 0:17:52.880
<v Speaker 1>sort of following a build or buy approach, whether you're

0:17:53.040 --> 0:17:56.879
<v Speaker 1>looking at research and patents or what sort of partnerships

0:17:56.920 --> 0:18:01.080
<v Speaker 1>you have, also what you're investing in or acquiring. But

0:18:01.240 --> 0:18:04.120
<v Speaker 1>on the doing all that is great way looking at

0:18:04.119 --> 0:18:06.960
<v Speaker 1>the raw horsepower, but doing it in a responsible manner

0:18:07.040 --> 0:18:11.200
<v Speaker 1>is really critical, and especially now given the release of

0:18:11.280 --> 0:18:13.920
<v Speaker 1>chat GPT and a lot of banks and a lot

0:18:13.960 --> 0:18:16.479
<v Speaker 1>of other sectors too, but banks looking at how to

0:18:16.520 --> 0:18:22.200
<v Speaker 1>incorporate large language models. The responsible aid is really important

0:18:22.240 --> 0:18:27.560
<v Speaker 1>in terms of making sure that your clients customers are

0:18:27.720 --> 0:18:30.520
<v Speaker 1>comfortable with the handling of all of this data and

0:18:30.640 --> 0:18:33.679
<v Speaker 1>with the use of AI tools on that data. And

0:18:33.720 --> 0:18:37.960
<v Speaker 1>it's really important to show that you're following frameworks of

0:18:38.080 --> 0:18:41.679
<v Speaker 1>responsible and ethical AI as you use it. Yeah, alexandre

0:18:41.840 --> 0:18:44.600
<v Speaker 1>I appreciate the depth of the methodology. You know. In

0:18:44.640 --> 0:18:47.240
<v Speaker 1>recent weeks, Caroline and I have name checked a number

0:18:47.280 --> 0:18:50.120
<v Speaker 1>of banking ceo is. Brian moynihan first week of March

0:18:50.240 --> 0:18:53.200
<v Speaker 1>was talking about how they're dabbling. There's work to do

0:18:53.640 --> 0:18:57.359
<v Speaker 1>when it comes to modernizing banking technology with regards to AI. So,

0:18:57.440 --> 0:18:59.960
<v Speaker 1>who are the winners and losers on your index? Who's

0:19:00.040 --> 0:19:03.640
<v Speaker 1>scores highly, who scores poorly? Yeah, well we have as

0:19:03.720 --> 0:19:06.880
<v Speaker 1>you know, we have JP Morgan top the index, came

0:19:06.920 --> 0:19:11.280
<v Speaker 1>out number one in the index. Interestingly, a raw bank

0:19:11.320 --> 0:19:16.840
<v Speaker 1>of Canada came second, a smaller bank, but predominantly we're

0:19:16.880 --> 0:19:20.199
<v Speaker 1>seeing the North American banks in the top ten, with

0:19:20.320 --> 0:19:25.399
<v Speaker 1>the European banks lagging somewhat and the UK banks lagging

0:19:25.440 --> 0:19:29.040
<v Speaker 1>the European banks. That brings me my next question, which

0:19:29.160 --> 0:19:32.240
<v Speaker 1>is we learned in the aftermath of Silicon Valley Bank

0:19:33.240 --> 0:19:36.879
<v Speaker 1>or relearned how global the banking industry is. How close

0:19:37.040 --> 0:19:40.320
<v Speaker 1>is the coordination that you see between different geographies and

0:19:40.359 --> 0:19:43.879
<v Speaker 1>regions in the banking system on how to implement AI

0:19:43.960 --> 0:19:48.560
<v Speaker 1>across borders. Well, there's there's no real coordination between the

0:19:48.640 --> 0:19:52.199
<v Speaker 1>banks across. The way that implementation is happening in the

0:19:52.240 --> 0:19:55.359
<v Speaker 1>European banks is quite different from the way that is

0:19:55.400 --> 0:19:59.520
<v Speaker 1>being done in the northern North American banks. The North

0:19:59.560 --> 0:20:03.760
<v Speaker 1>American banks take an approach much more looking at how

0:20:03.800 --> 0:20:06.400
<v Speaker 1>big tech is organized, so having R and D centers

0:20:06.600 --> 0:20:11.240
<v Speaker 1>and being much using AI across the banks, whereas the

0:20:11.320 --> 0:20:14.760
<v Speaker 1>European banks take more of an engineering approach where they're

0:20:14.800 --> 0:20:20.640
<v Speaker 1>going in silos and implementing AIM more in a siloed approach.

0:20:21.119 --> 0:20:24.000
<v Speaker 1>So you do see differences in the approaches that the

0:20:24.040 --> 0:20:27.520
<v Speaker 1>banks are taking whether you be in Europe or North

0:20:27.560 --> 0:20:30.119
<v Speaker 1>America and Amaxandra, does any of that come down to

0:20:30.359 --> 0:20:36.720
<v Speaker 1>how governments or cross institutional viewpoints are of how to

0:20:36.800 --> 0:20:40.080
<v Speaker 1>regulate how to ethically build AI, because many would say, actually,

0:20:40.080 --> 0:20:42.359
<v Speaker 1>when you think of the regulation being developed around it,

0:20:42.440 --> 0:20:45.119
<v Speaker 1>actually Asia or indeed Europe really leaves the pack in

0:20:45.160 --> 0:20:50.159
<v Speaker 1>this way. Yes, I mean the interesting aspect here is

0:20:50.160 --> 0:20:54.360
<v Speaker 1>actually that the North American Canadian banks were very visible

0:20:54.880 --> 0:21:00.080
<v Speaker 1>around the guard rails that they're putting in place. And

0:21:00.080 --> 0:21:02.360
<v Speaker 1>now we have to remember that banks are heavily regulated

0:21:02.400 --> 0:21:05.000
<v Speaker 1>to begin with, so a lot of this is happening internally.

0:21:05.480 --> 0:21:10.080
<v Speaker 1>What we're capturing is what is expressed externally in terms

0:21:10.280 --> 0:21:15.159
<v Speaker 1>of you know, principles around explainability responsible AI in general

0:21:15.600 --> 0:21:18.240
<v Speaker 1>and the people they're putting in place and the lines

0:21:18.240 --> 0:21:21.760
<v Speaker 1>of defense across the banks that they're visible about. In Europe,

0:21:21.760 --> 0:21:25.520
<v Speaker 1>you've got GDPR regulation right, and so there's a different

0:21:25.600 --> 0:21:28.280
<v Speaker 1>that sits slightly differently in the banks, and they're expressing

0:21:28.680 --> 0:21:30.720
<v Speaker 1>the guard rails that they're putting around it in slightly

0:21:30.760 --> 0:21:35.840
<v Speaker 1>different ways. But you could say that there are advanced

0:21:35.840 --> 0:21:38.280
<v Speaker 1>thinking at the European level with the AI Act in

0:21:38.720 --> 0:21:44.040
<v Speaker 1>motion right now, but because of the GDPR regulation in place,

0:21:44.480 --> 0:21:46.879
<v Speaker 1>there is there's a lot of thinking that has been

0:21:46.880 --> 0:21:49.360
<v Speaker 1>done in the European banking system. Great house and time

0:21:49.400 --> 0:21:52.320
<v Speaker 1>with you. We thank you, Alexandra, Thank you a CEO

0:21:52.400 --> 0:22:03.439
<v Speaker 1>and co founder of Evidence. Welcome actively Meg Technology. I'm

0:22:03.480 --> 0:22:06.720
<v Speaker 1>Karain Hide in New York, loved in San Francisco. It's

0:22:06.760 --> 0:22:08.880
<v Speaker 1>just quickly checking on these markets because we had seen

0:22:09.200 --> 0:22:11.840
<v Speaker 1>broadly technology stocks in the US under pressure. We still

0:22:11.840 --> 0:22:13.720
<v Speaker 1>remain as that one hundred of the big benchmark that

0:22:13.720 --> 0:22:16.080
<v Speaker 1>remembers up about ninety percent so far this year, down

0:22:16.320 --> 0:22:19.000
<v Speaker 1>half percent six out of seven days trading. That is

0:22:19.040 --> 0:22:21.160
<v Speaker 1>on the lower side the Fang index. This is about

0:22:21.240 --> 0:22:24.160
<v Speaker 1>big tech getting sold off today, the Microsoft, the alphabets

0:22:24.240 --> 0:22:26.400
<v Speaker 1>we see across the board just under pressures. Who worry

0:22:26.440 --> 0:22:30.159
<v Speaker 1>about that CPI, that inflation print tomorrow? Bitcoin though, shogging

0:22:30.200 --> 0:22:32.560
<v Speaker 1>off any of the risk asset concerns. Another three percent

0:22:32.600 --> 0:22:35.840
<v Speaker 1>as we hit some key technical levels thirty thousand swift

0:22:35.840 --> 0:22:39.080
<v Speaker 1>shot on let's go micro for a moment, individual movers.

0:22:39.359 --> 0:22:42.720
<v Speaker 1>Microsoft getting a bit of a analyst concern coming from

0:22:42.800 --> 0:22:44.760
<v Speaker 1>UBS saying that maybe Azure is going to be more

0:22:44.800 --> 0:22:47.800
<v Speaker 1>under pressure amid these economic headwinds that we see. And

0:22:47.840 --> 0:22:49.919
<v Speaker 1>actually you see a lot of these cloud companies on

0:22:49.960 --> 0:22:53.160
<v Speaker 1>the downside today, Snowflake and Data Dog Ali Baba off

0:22:53.160 --> 0:22:55.720
<v Speaker 1>by one point four percent. Keep a close eye eye

0:22:55.720 --> 0:22:58.320
<v Speaker 1>on Barba because plenty of news to come out overnight

0:22:58.400 --> 0:23:01.040
<v Speaker 1>in terms of its own AI cheap Jack GBT like

0:23:01.240 --> 0:23:03.359
<v Speaker 1>service being integrated across this products. We're more on that

0:23:03.400 --> 0:23:06.399
<v Speaker 1>in a moment. Virgin Orbit. Look, I mean at Penny

0:23:06.840 --> 0:23:09.320
<v Speaker 1>stock now thirty one percent lower as it filed for

0:23:09.359 --> 0:23:11.199
<v Speaker 1>bankruptcy and the NASDAK says, look, they're going to have

0:23:11.200 --> 0:23:15.679
<v Speaker 1>to delist this stockhead Yeah, big driver in that market

0:23:15.720 --> 0:23:18.840
<v Speaker 1>being AI as well, and the race in AI continues

0:23:18.880 --> 0:23:21.960
<v Speaker 1>to heat up. Alphabet doubling down on its own generative

0:23:21.960 --> 0:23:25.280
<v Speaker 1>AI ambitions, but this time by investing in the startup

0:23:25.320 --> 0:23:28.560
<v Speaker 1>World Capital g which is Alphabet's venture ARM announced a

0:23:28.600 --> 0:23:31.240
<v Speaker 1>one hundred million dollar funding round that it led into

0:23:31.280 --> 0:23:34.480
<v Speaker 1>B to B research platform Alpha Sense that brings Alpha

0:23:34.560 --> 0:23:37.720
<v Speaker 1>Senses valuation to one point eight billion dollars in the

0:23:37.720 --> 0:23:42.160
<v Speaker 1>company's CEO co founder Jack Coco joins us. Now, Jack,

0:23:42.240 --> 0:23:44.639
<v Speaker 1>this is interesting. It's an extension of around you did

0:23:44.760 --> 0:23:50.560
<v Speaker 1>last summer. Why why did you need these additional funds? Well,

0:23:51.520 --> 0:23:55.399
<v Speaker 1>great question and thanks for having me. We weren't actually

0:23:55.400 --> 0:23:58.359
<v Speaker 1>looking for financing, but we had been talking to Capitology

0:23:58.440 --> 0:24:02.040
<v Speaker 1>for sir role URIs would certainly viewed them as an

0:24:02.040 --> 0:24:06.760
<v Speaker 1>amazing potential investor for us, and we just had a

0:24:06.920 --> 0:24:11.280
<v Speaker 1>catch up conversation a few months ago and that led

0:24:11.320 --> 0:24:13.960
<v Speaker 1>to a quick meeting of the minds. And while we

0:24:14.040 --> 0:24:16.560
<v Speaker 1>didn't need the capital, we were looking for the capital.

0:24:17.200 --> 0:24:20.200
<v Speaker 1>It was such an opportunity we didn't want to pass

0:24:20.200 --> 0:24:24.640
<v Speaker 1>it up. Caroline, I find this incredibly interesting in this environment,

0:24:24.760 --> 0:24:29.400
<v Speaker 1>essentially a flat round interesting some of the other investors,

0:24:29.400 --> 0:24:32.639
<v Speaker 1>including Goldman Sexes asset management unit. Yeah, and I think

0:24:33.040 --> 0:24:35.080
<v Speaker 1>a lot of this comes around a market that is

0:24:35.200 --> 0:24:38.960
<v Speaker 1>deeply energized by all things AI, generative AI, in particular,

0:24:39.520 --> 0:24:42.840
<v Speaker 1>what is Alpha cens actually doing? What are you currently providing?

0:24:43.600 --> 0:24:47.600
<v Speaker 1>So our platform is really a market intelligence and search

0:24:47.800 --> 0:24:51.280
<v Speaker 1>by a form for enterprise customers. It's basically helping this

0:24:51.480 --> 0:24:56.080
<v Speaker 1>big company's financial firms and corporations find the right data

0:24:56.119 --> 0:24:58.600
<v Speaker 1>points and insights to make the big decisions that really

0:24:58.640 --> 0:25:01.320
<v Speaker 1>matter in the businesses. When if you think about it,

0:25:01.720 --> 0:25:05.600
<v Speaker 1>for every company that enter enterprise value is a cumulative

0:25:05.600 --> 0:25:07.960
<v Speaker 1>sumwhere the decisions that they make, and we help them

0:25:08.000 --> 0:25:10.520
<v Speaker 1>make every one of those better by having the right

0:25:10.600 --> 0:25:14.840
<v Speaker 1>access to data points and insights so they can make

0:25:14.920 --> 0:25:17.840
<v Speaker 1>a little bit better decisions more quickly and confidently. And

0:25:17.960 --> 0:25:20.320
<v Speaker 1>this was just really hard to do before people were

0:25:20.440 --> 0:25:22.760
<v Speaker 1>control f searching and still are today out there in

0:25:22.840 --> 0:25:26.200
<v Speaker 1>the market pdf documents or searching on the web for

0:25:26.560 --> 0:25:30.640
<v Speaker 1>critical business insights that drive million dollars sometimes billion dollar decisions.

0:25:31.200 --> 0:25:34.560
<v Speaker 1>So really, what we're bringing to them is thousands of

0:25:34.720 --> 0:25:37.720
<v Speaker 1>high value sources in one place where you can search

0:25:37.760 --> 0:25:40.159
<v Speaker 1>across them really powerfully and find the insights that you

0:25:40.160 --> 0:25:43.399
<v Speaker 1>can rely on. And you know, that's that's we've found

0:25:43.680 --> 0:25:45.800
<v Speaker 1>to be really a solution that resonates in the market.

0:25:45.840 --> 0:25:49.040
<v Speaker 1>More than half of the Fortune five hundred companies are

0:25:49.160 --> 0:25:54.240
<v Speaker 1>today using this, so yeah, you know that's Google using it, Merkshell,

0:25:54.359 --> 0:25:57.800
<v Speaker 1>Bank of America, raytheon. There is a lot of debate

0:25:57.800 --> 0:26:00.360
<v Speaker 1>though when you're thinking about the data trove that you're

0:26:00.440 --> 0:26:02.680
<v Speaker 1>using to bring this sort of analysis and to speed

0:26:02.760 --> 0:26:05.920
<v Speaker 1>up hip one's productivity. Is how reliable can the data

0:26:06.000 --> 0:26:09.320
<v Speaker 1>be and how is it ethically being used? How much

0:26:09.320 --> 0:26:11.440
<v Speaker 1>are you feeding into that sort of conversation right now,

0:26:11.520 --> 0:26:16.080
<v Speaker 1>there's a really really important conversation. It's um. You know,

0:26:16.080 --> 0:26:19.879
<v Speaker 1>in our case, we've always built our platform in a

0:26:19.920 --> 0:26:24.240
<v Speaker 1>way that the we're sourcing information from really truly high

0:26:24.320 --> 0:26:29.200
<v Speaker 1>value content from equity research companies, own disclosures, news media

0:26:29.320 --> 0:26:32.880
<v Speaker 1>and expert interviews of people in the trenches in business,

0:26:33.720 --> 0:26:38.160
<v Speaker 1>sharing insights with investment analysts on costs that we transcribe.

0:26:38.160 --> 0:26:41.360
<v Speaker 1>So it's it's really higher value business information. So grounding

0:26:42.040 --> 0:26:45.760
<v Speaker 1>the information that our search engine finds in those high

0:26:45.840 --> 0:26:49.639
<v Speaker 1>value sources is really important, and then we're able to

0:26:49.680 --> 0:26:56.800
<v Speaker 1>deliver really the the value back to the content providers.

0:26:57.160 --> 0:27:00.440
<v Speaker 1>When somebody's content is being used more, they also get

0:27:00.440 --> 0:27:03.440
<v Speaker 1>paid more as a content provider. So it's really important

0:27:03.480 --> 0:27:07.960
<v Speaker 1>debate around whether that's happening appropriately with large language models.

0:27:08.240 --> 0:27:12.359
<v Speaker 1>As we add language model capabilities on top off this

0:27:12.760 --> 0:27:14.720
<v Speaker 1>high valul content, we kind of built a system in

0:27:14.760 --> 0:27:16.880
<v Speaker 1>a way that content owner is actually good paid as

0:27:16.880 --> 0:27:20.040
<v Speaker 1>they should, and it really feels that this debate will

0:27:20.119 --> 0:27:21.960
<v Speaker 1>run and run. But I like the way in which

0:27:21.960 --> 0:27:24.080
<v Speaker 1>we're starting to really try and see the application. We

0:27:24.200 --> 0:27:26.840
<v Speaker 1>keep questioning what layer of AI is going to be

0:27:26.880 --> 0:27:29.560
<v Speaker 1>the most valuable? Is it or the infrastructure that sort

0:27:29.560 --> 0:27:31.600
<v Speaker 1>of Jack is building. Is it The companies that own

0:27:31.720 --> 0:27:34.760
<v Speaker 1>some of the data troths as well. And as Jack

0:27:34.800 --> 0:27:37.000
<v Speaker 1>would point out, you know, the inputs for the large

0:27:37.080 --> 0:27:39.840
<v Speaker 1>language model, the data set you're relying on is important.

0:27:40.240 --> 0:27:42.800
<v Speaker 1>It leads me to Alphabet. Jack and Google. You know,

0:27:42.880 --> 0:27:45.840
<v Speaker 1>Capital G would kind of point out they run independently

0:27:45.880 --> 0:27:48.720
<v Speaker 1>as the growth venture arm. But I wonder how close

0:27:48.800 --> 0:27:52.600
<v Speaker 1>this does bring you to Alphabet into Google, What partnerships

0:27:52.680 --> 0:27:56.719
<v Speaker 1>you can explore, what advantage from access to data that

0:27:56.800 --> 0:27:59.840
<v Speaker 1>might give you as you work on your own product. Well,

0:28:00.080 --> 0:28:02.240
<v Speaker 1>certainly a big part of the motivation of partnering with

0:28:02.320 --> 0:28:06.359
<v Speaker 1>Capital G is the opportunity partner with the broader Alphabet umbrella.

0:28:06.520 --> 0:28:10.399
<v Speaker 1>They have a really large portion of the world's AI

0:28:10.480 --> 0:28:14.320
<v Speaker 1>scientists and developers working for the business, and this certainly

0:28:14.320 --> 0:28:17.719
<v Speaker 1>does give us opportunities to partner with them, have conversations

0:28:17.720 --> 0:28:21.080
<v Speaker 1>with them, and also have conversations with people where we

0:28:21.160 --> 0:28:24.800
<v Speaker 1>can just advance our business and go to market. So

0:28:25.680 --> 0:28:27.800
<v Speaker 1>that was certainly a big part of the motivation of

0:28:28.080 --> 0:28:31.080
<v Speaker 1>inviting them in as an investor. At a moment where

0:28:31.200 --> 0:28:35.000
<v Speaker 1>we were looking for the capital, Jack, many might then think, oh,

0:28:35.040 --> 0:28:38.640
<v Speaker 1>there might be a quite useful owner. What is your view,

0:28:38.760 --> 0:28:40.960
<v Speaker 1>your direction to travel for the business? You want to

0:28:41.000 --> 0:28:47.000
<v Speaker 1>remain independent on IPO. We really see this as a

0:28:47.120 --> 0:28:52.040
<v Speaker 1>huge market opportunity and we're building this with the timescale

0:28:52.040 --> 0:28:56.200
<v Speaker 1>of the next ten years, twenty years and to gain

0:28:56.280 --> 0:28:59.080
<v Speaker 1>the resources to really build the kind of company that

0:28:59.160 --> 0:29:02.720
<v Speaker 1>we're building. We see IPO as an inevitable step along

0:29:02.760 --> 0:29:05.400
<v Speaker 1>the way. So that's the path that we're on. I'm

0:29:05.400 --> 0:29:07.680
<v Speaker 1>sure the hundred million satisfies you for the time may

0:29:07.720 --> 0:29:09.520
<v Speaker 1>make Jack's great to have some time with you, Jack

0:29:09.600 --> 0:29:12.720
<v Speaker 1>coco In, CEO of Alpha sense there and you've got

0:29:12.720 --> 0:29:16.520
<v Speaker 1>some more techniws. Yeah, time now for talking tech. Billionaire

0:29:16.520 --> 0:29:19.480
<v Speaker 1>twins Tyler and Camera winkle Voss made a one hundred

0:29:19.480 --> 0:29:22.800
<v Speaker 1>million dollar loan to support their crypto exchange Gemini. This

0:29:22.920 --> 0:29:26.160
<v Speaker 1>comes after Gemini had sought funding from outside investors in

0:29:26.200 --> 0:29:29.680
<v Speaker 1>recent months but didn't come to any agreement that According

0:29:29.720 --> 0:29:33.320
<v Speaker 1>to sources, Elizabeth Holmes has to report to prison as

0:29:33.360 --> 0:29:37.240
<v Speaker 1>scheduled later this month after a judge rejected her request

0:29:37.320 --> 0:29:41.200
<v Speaker 1>to remain free on bail as she appeals a fraud conviction.

0:29:41.240 --> 0:29:45.360
<v Speaker 1>And finally, Twitter has stopped being an independent company after

0:29:45.480 --> 0:29:49.040
<v Speaker 1>merging with the newly formed shell firm called X Corp.

0:29:49.160 --> 0:29:52.120
<v Speaker 1>It's unclear what the change means for Twitter, though Elon

0:29:52.240 --> 0:29:55.000
<v Speaker 1>Musk has in the past suggested that Twitter could lead

0:29:55.040 --> 0:29:58.880
<v Speaker 1>to X, which he dubbed as an everything app. Caroline,

0:29:59.160 --> 0:30:01.840
<v Speaker 1>let's ta Coelo, Well, let's stick on things he owns,

0:30:01.880 --> 0:30:04.120
<v Speaker 1>because for a moment, we also want to think about

0:30:04.160 --> 0:30:07.280
<v Speaker 1>where he's taking his other company, Tesla. In fact, we

0:30:07.360 --> 0:30:10.040
<v Speaker 1>saw shares of Tesla sort of in an interesting move today.

0:30:10.080 --> 0:30:11.800
<v Speaker 1>We're up about a percentage point coming off of those

0:30:11.880 --> 0:30:15.280
<v Speaker 1>highs and new proposal. We understand. Federal class action sued

0:30:15.440 --> 0:30:19.240
<v Speaker 1>against the company says Tesla employees viewed and shared videos

0:30:19.240 --> 0:30:22.240
<v Speaker 1>and images of car owners in violation with its privacy

0:30:22.400 --> 0:30:25.719
<v Speaker 1>promises and of California state laws and the state constitution.

0:30:25.760 --> 0:30:28.520
<v Speaker 1>Tesla has not responded immediately to request the comment. But

0:30:28.560 --> 0:30:29.960
<v Speaker 1>we are coming off of those highs that we've got

0:30:30.000 --> 0:30:32.640
<v Speaker 1>a little bit earlier coming up let's talk about investing

0:30:32.720 --> 0:30:35.320
<v Speaker 1>even more in cybersecurity. What a hot topic on the day,

0:30:35.320 --> 0:30:37.400
<v Speaker 1>and what kind of new risks are there to be

0:30:37.400 --> 0:30:40.080
<v Speaker 1>considered at the moment, particularly with the raise and rise

0:30:40.120 --> 0:30:42.880
<v Speaker 1>and rise of AI. More on that with Ballistic Ventures,

0:30:43.200 --> 0:30:57.240
<v Speaker 1>Go mac Meftter, that's next. This is blue. Let's continued

0:30:57.280 --> 0:31:00.120
<v Speaker 1>to talk about cybersecurity, the space of course booming the

0:31:00.200 --> 0:31:02.640
<v Speaker 1>last few years. Just think about the focus that we

0:31:02.680 --> 0:31:05.200
<v Speaker 1>had during the pandemic. Just think about today's newsflow as

0:31:05.240 --> 0:31:07.720
<v Speaker 1>we worry that maybe the lead documents that pose a

0:31:07.760 --> 0:31:10.520
<v Speaker 1>serious national security threat to the United States according to

0:31:10.560 --> 0:31:13.280
<v Speaker 1>the Pentagon, is that in some way related to a

0:31:13.400 --> 0:31:16.400
<v Speaker 1>hack or cyber attack. Let's talk about way you can

0:31:16.520 --> 0:31:18.880
<v Speaker 1>invest as well. Is it the right time to be

0:31:18.960 --> 0:31:21.960
<v Speaker 1>investing in all these sorts of companies. So we can

0:31:21.960 --> 0:31:24.920
<v Speaker 1>turn to our next m a guest who perhaps has

0:31:24.920 --> 0:31:27.120
<v Speaker 1>a bit of skin in the game. Palmac Mefter is

0:31:27.160 --> 0:31:30.600
<v Speaker 1>with us insight on today's VC spotlight. He's co founder

0:31:30.640 --> 0:31:34.360
<v Speaker 1>general partner of at Ballistic Ventures. And but Mac, you

0:31:34.440 --> 0:31:37.960
<v Speaker 1>have a life dedication to cyber in particular working over

0:31:37.960 --> 0:31:40.479
<v Speaker 1>an eight and T for years. What now you're seeing

0:31:40.640 --> 0:31:43.600
<v Speaker 1>in smaller companies areas that you can invest in making

0:31:43.640 --> 0:31:46.880
<v Speaker 1>sure that the cyber threats can be defeated. Yeah, thank

0:31:46.920 --> 0:31:48.560
<v Speaker 1>you very much for having you guys. By the way,

0:31:49.240 --> 0:31:52.120
<v Speaker 1>let's see, one of the great things about cybersecurity that

0:31:52.160 --> 0:31:56.560
<v Speaker 1>we've enjoyed is it's very resilient to economic upturns and

0:31:56.760 --> 0:31:59.760
<v Speaker 1>down turns. So, in fact, if you take a look

0:31:59.800 --> 0:32:02.440
<v Speaker 1>at couple of the CIOs surveys that have come up,

0:32:02.480 --> 0:32:04.920
<v Speaker 1>cybers one of the areas that is actually increasing in

0:32:05.040 --> 0:32:09.640
<v Speaker 1>span during economic downturns because everybody's worried about risk. That's

0:32:09.720 --> 0:32:12.160
<v Speaker 1>kind of one thread which is which always makes cyber

0:32:12.280 --> 0:32:15.320
<v Speaker 1>very very exciting as an investment vehicle. The other thread

0:32:15.480 --> 0:32:19.360
<v Speaker 1>is these threats are ever evolving, so the adversaries don't

0:32:19.360 --> 0:32:22.720
<v Speaker 1>sit still. They're constantly inventing new threat vectors and as

0:32:22.760 --> 0:32:24.840
<v Speaker 1>a result, some of the old security controls have to

0:32:24.840 --> 0:32:27.720
<v Speaker 1>be reinvented on a constant basis. And of course with

0:32:27.760 --> 0:32:30.280
<v Speaker 1>the emerging new threats, there has to be new innovative

0:32:30.280 --> 0:32:33.480
<v Speaker 1>companies that are going to emerge to counteract those threats. So,

0:32:33.560 --> 0:32:37.400
<v Speaker 1>as a result, from a startup perspective, invention perspective is

0:32:37.400 --> 0:32:40.800
<v Speaker 1>a very interesting area to invest in. I would argue

0:32:40.800 --> 0:32:42.960
<v Speaker 1>with the current economic downturn. If you look at some

0:32:43.040 --> 0:32:45.800
<v Speaker 1>of the public equities today as well, and if you

0:32:45.840 --> 0:32:48.760
<v Speaker 1>took a look at some of the multiples of revenues

0:32:48.880 --> 0:32:52.239
<v Speaker 1>multiples of EVA, it'll make cyber very very exciting to

0:32:52.240 --> 0:32:56.280
<v Speaker 1>invest in. So you know, we like the sector quite

0:32:56.280 --> 0:32:59.040
<v Speaker 1>a bit. Of course, while MAC we're interested in where

0:32:59.080 --> 0:33:01.160
<v Speaker 1>the dulta is in the energy is coming from. When

0:33:01.160 --> 0:33:03.320
<v Speaker 1>I was at CS in January, which seems like a

0:33:03.360 --> 0:33:06.960
<v Speaker 1>lifetime ago now, Jen easily the directory of its CISA

0:33:07.040 --> 0:33:10.320
<v Speaker 1>basically made an appeal to Corporate America saying, do more

0:33:10.680 --> 0:33:15.000
<v Speaker 1>invest earlier in cybersecurity into great cybersecurity tools. At the

0:33:15.080 --> 0:33:17.720
<v Speaker 1>moment you design a new product or piece of software,

0:33:18.360 --> 0:33:19.800
<v Speaker 1>is that where the energy is coming from in the

0:33:19.840 --> 0:33:22.160
<v Speaker 1>form of your LPs. I'm just curious who's backing you

0:33:22.400 --> 0:33:25.760
<v Speaker 1>to make these investments. Yeah, absolutely so. I think one

0:33:25.760 --> 0:33:27.840
<v Speaker 1>of the things Jen pointed out your pointing out, which

0:33:27.880 --> 0:33:30.239
<v Speaker 1>is probably the most important thing in cybers cyber has

0:33:30.280 --> 0:33:33.720
<v Speaker 1>always been thought of as an afterthought. If you take

0:33:33.800 --> 0:33:36.760
<v Speaker 1>a look at the applications, for instance, applications are developed

0:33:36.800 --> 0:33:39.680
<v Speaker 1>without security in mind during the software development life cycle.

0:33:40.080 --> 0:33:42.400
<v Speaker 1>And we're seeing a shift happening, especially with the last

0:33:42.400 --> 0:33:45.640
<v Speaker 1>ten to fifteen years. There's an area course shift left

0:33:45.680 --> 0:33:49.280
<v Speaker 1>you probably have heard, which is equipping software developers so

0:33:49.320 --> 0:33:52.240
<v Speaker 1>they can build security into the fabric of the application

0:33:52.360 --> 0:33:54.880
<v Speaker 1>during the assembly process of the application. It's one of

0:33:54.880 --> 0:33:58.520
<v Speaker 1>the only areas that you can build a critical asset

0:33:58.880 --> 0:34:01.880
<v Speaker 1>and think of security as an afterthought. It's incredibly inefficient.

0:34:02.280 --> 0:34:07.600
<v Speaker 1>So to Jen's point, you know, software security, especially insecuting channel,

0:34:07.720 --> 0:34:10.319
<v Speaker 1>has to be thought of during the assembly process of

0:34:10.360 --> 0:34:13.960
<v Speaker 1>any artifact. It's certainly one theme or one area that

0:34:14.000 --> 0:34:17.319
<v Speaker 1>we see, there are many other themes that we're investing in.

0:34:18.080 --> 0:34:21.160
<v Speaker 1>When we look at our LP base, they kind of

0:34:21.160 --> 0:34:24.279
<v Speaker 1>share the same excitement and enthusiasm. You know, they've used

0:34:24.320 --> 0:34:28.000
<v Speaker 1>cybers very resilient to economic upturns and downturns. We're focused

0:34:28.000 --> 0:34:30.640
<v Speaker 1>in the early stages of investing, and I would argue

0:34:30.760 --> 0:34:33.920
<v Speaker 1>during economic downturn is a really good time to create

0:34:34.040 --> 0:34:37.879
<v Speaker 1>companies and hope you can catch the upturns cycle when

0:34:37.920 --> 0:34:40.480
<v Speaker 1>when the equity capital markets come back. And so the

0:34:40.640 --> 0:34:43.480
<v Speaker 1>LPs share that enthusiasm. They think the stage of our

0:34:43.520 --> 0:34:47.520
<v Speaker 1>investing is pretty exciting, right, It's pretty exciting. That's hey,

0:34:47.560 --> 0:34:51.560
<v Speaker 1>by mac, we're looking at your portfolio companies here. Concentrics

0:34:51.600 --> 0:34:56.200
<v Speaker 1>one name that jumps out. How is artificial intelligence impacting

0:34:56.239 --> 0:35:00.920
<v Speaker 1>how you invest? Yeah, definitely. So I would argue a

0:35:00.920 --> 0:35:05.880
<v Speaker 1>couple of areas. One, AI has made the business of

0:35:06.480 --> 0:35:09.680
<v Speaker 1>threat detection incident response a lot more automated. In the

0:35:09.719 --> 0:35:12.920
<v Speaker 1>case of Concentric, they focus on data security. So what

0:35:13.000 --> 0:35:15.960
<v Speaker 1>they go after is they look at unstructured data that

0:35:16.080 --> 0:35:19.120
<v Speaker 1>passes through your organization, either through your Slack Channels office

0:35:19.160 --> 0:35:24.000
<v Speaker 1>through sixty five confluent, and there's an inadvertent risk exposure

0:35:24.000 --> 0:35:28.719
<v Speaker 1>of that unstructured data to the outside world. Without artificial intelligence,

0:35:28.880 --> 0:35:33.480
<v Speaker 1>identifying that unstructured data and the risk exposure is almost impossible.

0:35:33.840 --> 0:35:38.480
<v Speaker 1>And so you can apply AI to areas of data accessing, governance,

0:35:38.560 --> 0:35:41.920
<v Speaker 1>You can apply AI to automating threat detection, incident response

0:35:42.320 --> 0:35:45.720
<v Speaker 1>and removing the scarce human capital resources that are available

0:35:45.760 --> 0:35:49.360
<v Speaker 1>so they can focus on higher important things. Having said that,

0:35:49.480 --> 0:35:52.280
<v Speaker 1>though you can't rely on AI to completely automate your business,

0:35:52.280 --> 0:35:56.319
<v Speaker 1>there's a lot of business context that into understanding, whether

0:35:56.360 --> 0:35:59.680
<v Speaker 1>your financial services company or an insurance company or healthcare company.

0:35:59.760 --> 0:36:02.160
<v Speaker 1>So it can take you eighty percent or eighty five

0:36:02.200 --> 0:36:04.959
<v Speaker 1>percent there the last ten to fifteen percent it still

0:36:05.000 --> 0:36:07.320
<v Speaker 1>requires some human touch to sort of apply the business

0:36:07.320 --> 0:36:09.640
<v Speaker 1>context to what you're trying to go after. You mentioned

0:36:09.760 --> 0:36:14.440
<v Speaker 1>varied industries that deploy cyber needs. What about the company's

0:36:14.480 --> 0:36:17.000
<v Speaker 1>building all of this by mac? Are you investing primarily

0:36:17.080 --> 0:36:21.960
<v Speaker 1>in American built companies? Is this truly gloiville? You know,

0:36:22.120 --> 0:36:25.440
<v Speaker 1>from a cyber perspective, I still argue the epicenter for

0:36:25.440 --> 0:36:28.640
<v Speaker 1>a lot of innovations here in America. I would say

0:36:28.960 --> 0:36:31.600
<v Speaker 1>Israel has has sort of come up over the last

0:36:31.600 --> 0:36:33.560
<v Speaker 1>five to seven years, is a new epicenter where it's

0:36:33.600 --> 0:36:36.920
<v Speaker 1>a lot of innovation that comes out of Israel, partly

0:36:36.960 --> 0:36:38.680
<v Speaker 1>out of Unit eighty two hundred, which is part of

0:36:38.680 --> 0:36:43.360
<v Speaker 1>the IDF. And so the vast majority you see between

0:36:43.400 --> 0:36:48.600
<v Speaker 1>those two areas, Amida and EU specifically is obviously coming

0:36:48.600 --> 0:36:51.280
<v Speaker 1>together in the last three to five years. My previous company,

0:36:51.320 --> 0:36:53.080
<v Speaker 1>Alien Bolt, was a company that was started out of

0:36:53.120 --> 0:36:56.080
<v Speaker 1>Space Spain and had moved their headquarters to the US.

0:36:56.160 --> 0:36:59.000
<v Speaker 1>So but I would say in America and Israel are

0:36:59.080 --> 0:37:02.920
<v Speaker 1>kind of the two main epi centers. All right, Barmacmefter,

0:37:03.040 --> 0:37:06.320
<v Speaker 1>co founder, general partner of Ballistic Ventures. Thank you. You

0:37:06.400 --> 0:37:09.800
<v Speaker 1>take two themes. Caroline Cybersecurity and then you match it

0:37:09.880 --> 0:37:12.399
<v Speaker 1>with the other big theme, AI. So let's stick with AI.

0:37:12.520 --> 0:37:16.000
<v Speaker 1>In China, the government plans to require a security review

0:37:16.080 --> 0:37:19.880
<v Speaker 1>of chat GPT like bots, providers of the generative artificial

0:37:19.920 --> 0:37:24.480
<v Speaker 1>intelligence services must ensure content is accurate and neither discriminates

0:37:24.560 --> 0:37:27.600
<v Speaker 1>nor in dangerous security. Chinese companies, from Ali Barber to

0:37:27.719 --> 0:37:30.160
<v Speaker 1>Sense Time to Buy do all want to build the

0:37:30.320 --> 0:37:43.400
<v Speaker 1>definitive next gen AI platform gaming bench capital funding has

0:37:43.440 --> 0:37:46.320
<v Speaker 1>returned to pre twenty twenty one level. So that's according

0:37:46.440 --> 0:37:49.160
<v Speaker 1>to Convoy Ventures latest gaming report for the first quarter

0:37:49.239 --> 0:37:52.120
<v Speaker 1>of this year, out today. Co founder and managing partner

0:37:52.239 --> 0:37:55.560
<v Speaker 1>Jason Chapman with us to go over the numbers. It's interesting,

0:37:55.600 --> 0:37:57.839
<v Speaker 1>we're kind of back to this pre twenty twenty one level.

0:37:57.880 --> 0:37:59.320
<v Speaker 1>But if you look at the court, are just gone

0:37:59.640 --> 0:38:03.000
<v Speaker 1>a horse roun court to bump in in venture dollars deployed,

0:38:03.280 --> 0:38:05.279
<v Speaker 1>but nothing like the court is that we did see

0:38:05.320 --> 0:38:07.839
<v Speaker 1>in twenty twenty one. What's the main driver right now

0:38:07.920 --> 0:38:12.239
<v Speaker 1>for backing startups in this industry? Yeah, I think I

0:38:12.320 --> 0:38:14.920
<v Speaker 1>think generally and thick you for having me is largely

0:38:15.360 --> 0:38:17.360
<v Speaker 1>the player data. You know, we look and see that

0:38:17.520 --> 0:38:20.600
<v Speaker 1>thirty point two billion people across the world continue to

0:38:20.600 --> 0:38:24.120
<v Speaker 1>play video games. That's nearly forty percent of the global population.

0:38:24.640 --> 0:38:26.840
<v Speaker 1>And this quarter we saw about seven hundred and sixty

0:38:26.880 --> 0:38:30.440
<v Speaker 1>one million dollars invested into gaming deals across venture that

0:38:30.640 --> 0:38:33.560
<v Speaker 1>is up twenty nine percent. And so I think generally

0:38:33.600 --> 0:38:36.320
<v Speaker 1>you see investors walk to areas that proved to be

0:38:36.480 --> 0:38:40.239
<v Speaker 1>resilient during economic difficulties, which gaming has proven during the

0:38:40.320 --> 0:38:43.160
<v Speaker 1>last two recessions to do so, and during this current

0:38:43.200 --> 0:38:46.240
<v Speaker 1>phase we expect it will do the same. You, of course,

0:38:46.560 --> 0:38:50.040
<v Speaker 1>often invest in the infrastructure around gaming. What about the building,

0:38:50.080 --> 0:38:53.560
<v Speaker 1>the making of gaming and games themselves and how they're

0:38:53.640 --> 0:38:58.239
<v Speaker 1>being offered because a lot of them are more streaming services. Now, yeah,

0:38:58.360 --> 0:39:00.440
<v Speaker 1>so I mean there's a lot there. I mean actually

0:39:00.560 --> 0:39:03.480
<v Speaker 1>talking about streaming. It's it's ironic given that Google Stadia

0:39:03.640 --> 0:39:06.960
<v Speaker 1>just closed officially this this actually this quarter in January.

0:39:07.920 --> 0:39:11.120
<v Speaker 1>You know, we are very excited to back the infrastructure

0:39:11.239 --> 0:39:13.640
<v Speaker 1>of how you deliver games, how you distribute games, how

0:39:13.680 --> 0:39:18.080
<v Speaker 1>you advertise games. Building a game is extremely expensive, you know,

0:39:18.200 --> 0:39:20.440
<v Speaker 1>looking at Triple A content, it often is north of

0:39:20.480 --> 0:39:23.400
<v Speaker 1>eighty million dollars to actually produce, and so for us,

0:39:23.520 --> 0:39:26.520
<v Speaker 1>we think the upside is definitely in the content in

0:39:26.840 --> 0:39:31.520
<v Speaker 1>the technologies versus the content interesting. So, given Stadia you

0:39:31.640 --> 0:39:34.640
<v Speaker 1>just mentioned it, do we think there's less desire by

0:39:34.880 --> 0:39:39.200
<v Speaker 1>some very well capitalized, big tech public companies to invest

0:39:39.280 --> 0:39:43.040
<v Speaker 1>in content at this moment. We're seeing a lot of

0:39:43.120 --> 0:39:47.240
<v Speaker 1>content funding today, a lot of excitement around content because

0:39:47.320 --> 0:39:49.960
<v Speaker 1>you know, as as we are seeing Hogwarts legacy has

0:39:50.040 --> 0:39:52.279
<v Speaker 1>has caught the world by storm, and hopefully you have

0:39:52.440 --> 0:39:55.960
<v Speaker 1>some players. They're actually at Bloomberg. You know, with content,

0:39:56.040 --> 0:39:59.279
<v Speaker 1>it's incredibly scalable and it can be delivered at ease

0:39:59.400 --> 0:40:02.560
<v Speaker 1>to the massive And something that is very lurrying about

0:40:02.600 --> 0:40:04.160
<v Speaker 1>this is that if you find a hit, you find

0:40:04.160 --> 0:40:07.200
<v Speaker 1>a huge hit. For us, we are much more comfortable

0:40:07.200 --> 0:40:10.680
<v Speaker 1>as a firm backing the things that make delivery content possible.

0:40:10.760 --> 0:40:13.760
<v Speaker 1>So we're betting on a category versus one piece of content.

0:40:14.320 --> 0:40:16.600
<v Speaker 1>We think it's a more prudent way to approach approach

0:40:16.640 --> 0:40:21.319
<v Speaker 1>the industry. You're a completely set to focus VC fund.

0:40:21.360 --> 0:40:23.400
<v Speaker 1>There is a big player in this industry right now,

0:40:23.440 --> 0:40:26.280
<v Speaker 1>which is Saudi Arabia. You look at the savvy scope

0:40:26.360 --> 0:40:29.200
<v Speaker 1>lea deal as one example, but also the fund, the

0:40:29.280 --> 0:40:32.439
<v Speaker 1>war chest they've amassed. What's your take on Saudi coming

0:40:32.520 --> 0:40:36.680
<v Speaker 1>in to sort of dominate this sector. Yeah, so you know,

0:40:36.800 --> 0:40:39.200
<v Speaker 1>the thirty eight billion dollars that have been earmarked for

0:40:39.360 --> 0:40:43.920
<v Speaker 1>gaming is a significant move. So historically speaking, they have

0:40:44.040 --> 0:40:46.600
<v Speaker 1>not been very active entertainment, but the government of Saudi

0:40:46.600 --> 0:40:48.560
<v Speaker 1>Arabia is determined that gaming will be a pillar of

0:40:48.719 --> 0:40:53.440
<v Speaker 1>entertainment for them going forward. And the acquisition of Scopelely

0:40:53.440 --> 0:40:55.920
<v Speaker 1>at four point nine billion dollar acquisitions a huge win

0:40:56.200 --> 0:40:59.200
<v Speaker 1>to for the Scope Lee end Savvy team, So the

0:40:59.200 --> 0:41:02.320
<v Speaker 1>whole Convoy team is extremely excited about this partnership. The

0:41:02.360 --> 0:41:04.920
<v Speaker 1>Savvy group with that acquisition have brought in one hundred

0:41:04.960 --> 0:41:08.640
<v Speaker 1>million monthly actives across their platform, which is a massive

0:41:08.680 --> 0:41:10.560
<v Speaker 1>deal in the gaming industry and a massive deal for

0:41:10.640 --> 0:41:13.640
<v Speaker 1>the Savvy platform. Hey, Jason, real quick, twenty twenty two

0:41:13.800 --> 0:41:16.839
<v Speaker 1>is all about online a multiplayer. What's twenty twenty three

0:41:16.840 --> 0:41:19.400
<v Speaker 1>you're going to be about? Twenty twenty three is going

0:41:19.440 --> 0:41:22.040
<v Speaker 1>to be your user generated content and the wars between

0:41:22.239 --> 0:41:26.880
<v Speaker 1>Roadblocks and Fortnite. Looking at the Creator platform just launched

0:41:26.880 --> 0:41:28.719
<v Speaker 1>and announced by Tim Sweeney a couple of weeks ago,

0:41:29.360 --> 0:41:31.600
<v Speaker 1>You're going to see a lot of creators be lured

0:41:31.600 --> 0:41:34.400
<v Speaker 1>to that platform from roadblocks as well as others, and

0:41:34.560 --> 0:41:36.320
<v Speaker 1>so we're very keen to watch this and it's a

0:41:36.400 --> 0:41:38.680
<v Speaker 1>trend that Convoy is paying a lot of attention to

0:41:38.800 --> 0:41:41.560
<v Speaker 1>and also to point a lot of money towards thanks

0:41:41.600 --> 0:41:43.960
<v Speaker 1>to bringing your trends as you see them. Convoy Ventures

0:41:44.000 --> 0:41:48.040
<v Speaker 1>co founder managing partner Jason Chapman, Well, that does it

0:41:48.080 --> 0:41:51.320
<v Speaker 1>for this edition. And Bloombag Technology, Yeah, real emphasis on

0:41:51.400 --> 0:41:54.120
<v Speaker 1>cybersecurity and AI in the market right now. Recap with

0:41:54.200 --> 0:41:58.960
<v Speaker 1>the podcast. You can find it on the terminal, on Apple, Spotify, Hut,

0:41:59.040 --> 0:42:02.000
<v Speaker 1>wherever you get your podcast. Caroline, I think I think

0:42:02.040 --> 0:42:04.719
<v Speaker 1>about these markets as well. We're bracin for Wednesday, We're

0:42:04.760 --> 0:42:07.680
<v Speaker 1>bracin for data and in the technology sector, we're always

0:42:07.719 --> 0:42:10.600
<v Speaker 1>looking at the FED from SF in New York. This

0:42:10.840 --> 0:42:11.480
<v Speaker 1>is Bloomberg