WEBVTT - Super Bowl Highlights and Bitcoin Tops $49,000

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<v Speaker 1>From Marhard where Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I'm Caroline Heid at Bloomberg's World headquarters in New York and.

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<v Speaker 4>I'm Ed Ludlow in San Francisco. This is Bloomberg Technology.

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<v Speaker 3>Coming up. We'll bring you the full coverage of Super

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<v Speaker 3>Bowl fifty eight, from the streaming to the advertising, the

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<v Speaker 3>actual cellular infrastructure within the stadium. We have got you covered.

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<v Speaker 4>Plus Bitcoin tops forty nine thousand dollars for the first

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<v Speaker 4>time in a month. We'll look at the ups and

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<v Speaker 4>downs of the crypto industry as many are still coping

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<v Speaker 4>with a tumultuous few years, and.

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<v Speaker 3>President Biden launches a TikTok account to reach young voters

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<v Speaker 3>amid his re election campaign. We'll break down the broader

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<v Speaker 3>media strategy by the White House amid what is a

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<v Speaker 3>crucial election year. Happy Super Bowl Monday to all who

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<v Speaker 3>celebrate and are a little tired and a projected record

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<v Speaker 3>breaking one at that that it was. We spoke of

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<v Speaker 3>course to the paramount CEO of Backage on Friday before

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<v Speaker 3>the big game. Is what he had in anticipation.

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<v Speaker 5>It's been an incredible season for the NFL. On CBS,

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<v Speaker 5>we set the high watermark for ratings since the property

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<v Speaker 5>returned in nineteen ninety eight. He set the high watermark

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<v Speaker 5>for ad sales for Super Bowl, and it's looking like

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<v Speaker 5>on Saturday on Sunday we'll set an all time viewing

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<v Speaker 5>number with any lux.

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<v Speaker 3>Of course, it was a big win for Kansas City

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<v Speaker 3>Chiefs defeating I'm Afraid at San Francisco. Forty nine is

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<v Speaker 3>becoming the first back to back Super Bowl champs in

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<v Speaker 3>like nineteen years now. Viewing figures not out yet, but

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<v Speaker 3>it is forecast to be the most watched Super Bowl

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<v Speaker 3>in history. Makes Felix Jennet joins us for a little

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<v Speaker 3>bit on what we anticipate in terms of actual eyeballs

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<v Speaker 3>in the way in which people viewed on Paramount Plus

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<v Speaker 3>and CBS or even Nickelodeon. What are we anticipating in

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<v Speaker 3>tens of years.

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<v Speaker 6>Well, the game couldn't have gone any better for CBS

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<v Speaker 6>and Paramount. I mean the fact that it was a

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<v Speaker 6>close game went to overtime. There's lots of drama keeps viewers' attention.

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<v Speaker 6>It's really the perfect script for them and I think

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<v Speaker 6>it'll be huge numbers. I'd be surprised that they will

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<v Speaker 6>break the all time number. Yeah, they're going to have

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<v Speaker 6>to factor in the streaming numbers what happened on Nickelodeon.

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<v Speaker 6>There were some you know, streaming problems at the outside

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<v Speaker 6>of the game, but I think overall, you know, adding

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<v Speaker 6>the Taylor Swift Kelsey drama and the kiss on the field,

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<v Speaker 6>I mean, it's just really perfect for them.

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<v Speaker 4>Bloomberg Technology Senior producer Jackie Lopez, our glorious lead, is

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<v Speaker 4>saying that the Nickelodeon production was out of this world.

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<v Speaker 4>It's an interesting experience, right, you know, I watched through

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<v Speaker 4>the Paramount Plus streaming app when we spoke about backish.

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<v Speaker 4>It's kind of like great for the platform, but it's

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<v Speaker 4>a shop window.

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<v Speaker 1>You know.

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<v Speaker 4>They had the Halo season two ads going, then there

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<v Speaker 4>are the third party ads. What did you make of it?

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<v Speaker 4>Felix is a technology spectacle for Paramount Global, but also

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<v Speaker 4>for their for their business, which is still ad based.

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<v Speaker 6>Yeah, and I think they need, you know, Nickelodeon needs

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<v Speaker 6>a win. You know, they need some good news to

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<v Speaker 6>spend a terrible time for cable networks. And it's fun,

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<v Speaker 6>it's like a different experience for the kids.

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<v Speaker 1>You know.

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<v Speaker 6>I even thought that their ad for Pluto TV was

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<v Speaker 6>one of the best, and saw a lot of buzz

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<v Speaker 6>for the raising couch Potatoes Is the couch Potato Yeah,

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<v Speaker 6>which was really good, I mean, very good night all

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<v Speaker 6>across the board for them, all.

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<v Speaker 4>Right, Blue Begs, Felix, Jellette, thank you and Carol, I

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<v Speaker 4>think you and I, partly because we covered it a

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<v Speaker 4>lot on the show in recent weeks and months, paid

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<v Speaker 4>attention to Timu, like the regularity of the ads, but

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<v Speaker 4>also the idea like you can shop like a billionaire

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<v Speaker 4>on a platform that's like discounting. It was very interesting for.

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<v Speaker 3>Me and maybe that we've been saying the company wrong

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<v Speaker 3>all this time because the way in which the jingle

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<v Speaker 3>goes in the sound on is Temu. But it really

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<v Speaker 3>is an interesting like habit. The fact that they just

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<v Speaker 3>kept rolling the same one out again and again and

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<v Speaker 3>ultimately everyone's still engaging with it. The phenomenal stats, but

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<v Speaker 3>for me, what caught the eyes was the fact that

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<v Speaker 3>it was movies that did well, it was non US

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<v Speaker 3>car makers that seemed to be doing well, and ultimately

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<v Speaker 3>they were all pretty focused on being emotional in some

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<v Speaker 3>way if they weren't being humorous, there was an emotional tap.

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<v Speaker 7>To it all.

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<v Speaker 4>But I don't know.

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<v Speaker 3>I was on the edge of my seat. I mean,

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<v Speaker 3>of course I was more about USh Or on his

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<v Speaker 3>roller skates. But other than that, this Deadpool one had

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<v Speaker 3>all my kids talking.

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<v Speaker 4>Yes, excited about Deadpool. Wicked is one that was there

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<v Speaker 4>as well. And I know that Taylor Swift was at

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<v Speaker 4>the center of this super Bowl but in the commercial

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<v Speaker 4>ad context Beyonce, which we can talk about later in

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<v Speaker 4>the program.

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<v Speaker 3>Country though maybe Country is for the win in terms

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<v Speaker 3>of music in every single way. Let's get more of

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<v Speaker 3>a read through on really the real insights that can

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<v Speaker 3>go from just last night's own adverts. We've got Kevin

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<v Speaker 3>Krim with our CEO of Edio. Look, it measures the

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<v Speaker 3>immediate impact of TV advertising, cross linear, across streaming, and

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<v Speaker 3>that's where, of course this game was taking past. Kevin,

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<v Speaker 3>give us the sense it felt like you're pointing out

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<v Speaker 3>actually that it was the movies and the auto ads

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<v Speaker 3>that really stuck out in terms of us all then

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<v Speaker 3>diving in and wanting to interact with them immediately.

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<v Speaker 7>Right, So, great game last night, as you said, and

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<v Speaker 7>what Nielsen measures with its audience numbers is how many

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<v Speaker 7>people watched.

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<v Speaker 1>What we're measuring ado is.

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<v Speaker 7>What happens next? What are those behaviors that every marketer

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<v Speaker 7>is trying to drive of engagement with their brands, that

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<v Speaker 7>deepening of loyalty, of consideration of intent, and what we

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<v Speaker 7>saw top two best performing ads were movies.

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<v Speaker 1>As you mentioned. Number three was Volkswagen. Really interesting to see.

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<v Speaker 7>Volkswagen returning to the game after ten years of being absent,

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<v Speaker 7>showing their heritage in the US with the Beetle and

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<v Speaker 7>then teasing their all electric VW Bus, the ID Buzz

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<v Speaker 7>that's coming later this year, and.

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<v Speaker 3>Boy has Eve been under some pressure of late. I'm

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<v Speaker 3>just wanting to know ultimately what you're measuring when you're

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<v Speaker 3>coming to us with numbers like two and forty three

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<v Speaker 3>percent increase in terms of engagement. When it came to

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<v Speaker 3>Deadpool and Wolverine, what are you seeing? Is it searching?

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<v Speaker 7>Those are people grabbing their phones other connective devices and

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<v Speaker 7>searching for it, going to YouTube to watch the trailer,

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<v Speaker 7>the extended trailer, which is often a called action, going

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<v Speaker 7>to Wikipedia to learn more about the cast. Those are

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<v Speaker 7>the kind of behaviors that we pick up in our measurement,

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<v Speaker 7>and we're looking at lift above a normal baseline set

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<v Speaker 7>of behaviors. So these new films, new cars, new products

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<v Speaker 7>like Temu relatively new still, those are the kind of

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<v Speaker 7>things we're seeing very large lift above those baseline levels.

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<v Speaker 7>Something that is more ubiquitous you're going to see lower lift,

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<v Speaker 7>But those still are interesting numbers. When you're a marketer

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<v Speaker 7>trying to drive people into your product.

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<v Speaker 4>What you don't expect the morning after a Super Bowl

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<v Speaker 4>is to wake up and think about probiotic healthy sodas.

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<v Speaker 4>But you know, Poppy was so present, right. I want

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<v Speaker 4>to use them as a case study for the spend

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<v Speaker 4>because you know, they ranked super high on the list.

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<v Speaker 4>But that must have been some expensive real estate for

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<v Speaker 4>them to be so positioned. And the question is what

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<v Speaker 4>does the data tell you about what they get out

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<v Speaker 4>of it? You know, how do we know that people

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<v Speaker 4>flood to the shops thinking about their gut health and

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<v Speaker 4>wanting to drink healthy soda?

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<v Speaker 7>Right, So we saw Poppy number four on our rankings,

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<v Speaker 7>huge lift above its normal levels of engagement. What their

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<v Speaker 7>ad did so smartly is talked about the benefits the

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<v Speaker 7>differences between their soda and a typical sugary soda, low sugar, probiotics.

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<v Speaker 1>And it's a high priced product.

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<v Speaker 7>I didn't realize until I saw that ad and I

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<v Speaker 7>looked it up that it's a two dollars a can

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<v Speaker 7>soda if you're buying it, you know.

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<v Speaker 1>At the typical grocery store.

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<v Speaker 7>So for an independent soda company based in Austin, Texas

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<v Speaker 7>to really break through, you're spending about seven, maybe even

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<v Speaker 7>a little more million dollars for that thirty second spot.

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<v Speaker 1>Your creative costs are on top of that.

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<v Speaker 7>Now, the intelligently, I think, didn't invest in a celebrity,

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<v Speaker 7>they didn't need it, they felt. Instead, they went with

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<v Speaker 7>just big, bold claims about how they're different. It was

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<v Speaker 7>a bright, cheery and an engaging spot and it performed.

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<v Speaker 4>Something Not in your top ten is Verizon and Beyonce,

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<v Speaker 4>and your data is on online engagement. So I find

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<v Speaker 4>that so surprising. You know, when you say online engagement,

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<v Speaker 4>if somebody watches this video and goes, okay, Beyonce, what

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<v Speaker 4>are you saying that they're doing They're just going straight

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<v Speaker 4>to Google and searching for this or are they engaging

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<v Speaker 4>in another way online?

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<v Speaker 7>Well, what we're seeing with that kind of ad is there,

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<v Speaker 7>and our methodology separates the engagement with the brand from

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<v Speaker 7>the engagement with the celebrity, So we'll certainly see that

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<v Speaker 7>Beyonce is at the top of our celebrity rankings when

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<v Speaker 7>it comes to that measurement. But for Verizon, and it's

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<v Speaker 7>a great you know ad. I think it's the most

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<v Speaker 7>fun I've seen Beyonce having in a long time.

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<v Speaker 1>It hits on a bunch of fun themes.

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<v Speaker 7>The risk with that kind of huge celebrity like Beyonce

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<v Speaker 7>is that you are siphoning off potentially some of your

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<v Speaker 7>engagement with your brand to the celebrity. So the challenge

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<v Speaker 7>is always to work together in an authentic way to

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<v Speaker 7>get this celebrity to be really tightly aligned with your brand.

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<v Speaker 1>And again, I think this performed well.

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<v Speaker 7>It was well above the average for our measurement of

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<v Speaker 7>all ads on the Super Bowl.

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<v Speaker 1>But you know, I think comparing it with T Mobiles ad.

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<v Speaker 7>With with you know, the cast of Scrubs and Jason Momoa,

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<v Speaker 7>that one may have hit their benefits even more squarely.

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<v Speaker 7>And so they were a little ahead of Verizon according

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<v Speaker 7>to our measurement.

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<v Speaker 3>I mean, I found the Duncan one pretty funny but

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<v Speaker 3>that doesn't seem to have come up in particularly your

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<v Speaker 3>numbers as well. I mean, was that again misspent money

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<v Speaker 3>on the power of celebrity that is Jlo and actually a.

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<v Speaker 1>Husband it was. It performed very well.

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<v Speaker 7>It was in our top twenty or just shy of

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<v Speaker 7>it so out of one hundred plus ads. Still a

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<v Speaker 7>great outcome for Duncan, which is almost a you know,

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<v Speaker 7>an everyday household name in this country. And it was

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<v Speaker 7>a great ad, really well executed. That was a very

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<v Speaker 7>authentic use of celebrity and some nostalgia all wrapped into

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<v Speaker 7>one very fun ad and it performed. I mean, to

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<v Speaker 7>get people to even be engaging with Duncan at all,

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<v Speaker 7>whether it's through their app or through web searches is

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<v Speaker 7>quite a feat and they hit it.

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<v Speaker 3>I wonder ed how much interaction there was with Satoshi

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<v Speaker 3>Nakamoto on the back of just a T shirt or

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<v Speaker 3>sweatshirt by one jacked course seat, but there were no.

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<v Speaker 4>Con see jay Z and then just the random guy

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<v Speaker 4>next to them, which floads of people.

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<v Speaker 3>Saw some magnums of red. As you so well pointed out,

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<v Speaker 3>it's been brilliant to get the inside trap with the

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<v Speaker 3>doo ceo Kevin Krimp, thank you so much for joining us.

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<v Speaker 3>Kevin and all things adds a little bit more to

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<v Speaker 3>do with Super Bowl coming up in the show. But

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<v Speaker 3>coming up, we're going to get serious around of course,

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<v Speaker 3>the Ukrainian military forces saying that Russia is using Starlink

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<v Speaker 3>terminals on the front line. We'll tell you how Starlink

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<v Speaker 3>is responding to those claims across the social platform. Next,

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<v Speaker 3>of course, and what have.

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<v Speaker 4>You got, Just real quick look at Amazon shares down

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<v Speaker 4>a hot percentage point the news Jeff Bezos sold twelve

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<v Speaker 4>million Amazon shares last week Wednesday Thursday, net proceeds around

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<v Speaker 4>two billion. We knew on February second that he has

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<v Speaker 4>a plan to sell fifty million shares over the course

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<v Speaker 4>of the next twelve months. But it's the first time

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<v Speaker 4>he sold stock since twenty twenty one. And if you

0:11:23.559 --> 0:11:26.120
<v Speaker 4>think back to twenty twenty twenty one, he did twenty

0:11:26.160 --> 0:11:29.240
<v Speaker 4>billion dollars worth over those two years. So it's definitely

0:11:29.280 --> 0:11:43.800
<v Speaker 4>one to watch this this Bloomberg technology, it's time for

0:11:43.840 --> 0:11:47.199
<v Speaker 4>talking tech and first up, Nvidia CEO Jensen Wong says

0:11:47.320 --> 0:11:51.280
<v Speaker 4>advances in computing over the next few years will scale

0:11:51.440 --> 0:11:55.160
<v Speaker 4>back the high costs of developing artificial intelligence still why

0:11:55.360 --> 0:11:58.760
<v Speaker 4>expects the global costs of data center's powering AI to

0:11:58.840 --> 0:12:01.560
<v Speaker 4>increase in the next five years. This comes in response

0:12:01.720 --> 0:12:04.360
<v Speaker 4>to a Wall Street Journal report that open Ai CEO

0:12:04.520 --> 0:12:09.360
<v Speaker 4>Sam Autman is seeking to raise seven trillion dollars from

0:12:09.360 --> 0:12:12.560
<v Speaker 4>investors and in a shift toward the United States and

0:12:12.600 --> 0:12:16.000
<v Speaker 4>other Western markets. AI firm G forty two tells Boomberg

0:12:16.080 --> 0:12:19.600
<v Speaker 4>News that it's pairing back its presence in China. The

0:12:19.600 --> 0:12:22.400
<v Speaker 4>Abbada based firm has been at the forefront of the

0:12:22.480 --> 0:12:26.560
<v Speaker 4>United Arab Emirates push into AI. Its partnerships include one

0:12:26.600 --> 0:12:29.079
<v Speaker 4>with open Ai and Sarah Brass Systems.

0:12:29.280 --> 0:12:29.600
<v Speaker 2>Plus.

0:12:29.640 --> 0:12:34.440
<v Speaker 4>Elon Musk is cutting ties with Delaware. The billionaire reincorporated

0:12:34.480 --> 0:12:38.640
<v Speaker 4>the brain implant company Neuralink, to Nevada from the first state.

0:12:38.760 --> 0:12:42.800
<v Speaker 4>The change was completed Thursday in a notice sent to shareholders.

0:12:42.840 --> 0:12:45.760
<v Speaker 4>Musk has suffered a number of legal setbacks in Delaware,

0:12:45.800 --> 0:12:49.479
<v Speaker 4>including one over his pay and another over his acquisition

0:12:49.640 --> 0:12:51.040
<v Speaker 4>of Twitter Caroline.

0:12:51.600 --> 0:12:54.400
<v Speaker 3>Let's get into some other news relating to Elon muskad

0:12:54.440 --> 0:12:58.679
<v Speaker 3>because Ukraine it's accusing Russian military forces of using Starlink

0:12:58.800 --> 0:13:00.959
<v Speaker 3>terminals on the front line, saying that the use of

0:13:01.000 --> 0:13:04.720
<v Speaker 3>Stalink's Internet service is becoming, they say, is systemic. This

0:13:04.760 --> 0:13:08.040
<v Speaker 3>is as the Starlink satellite Internet service is also we understand,

0:13:08.040 --> 0:13:11.040
<v Speaker 3>being used by Sudan's power military rapid support forces amid

0:13:11.040 --> 0:13:13.720
<v Speaker 3>a nationwide internet blackout that the UN is saying. Of course,

0:13:13.720 --> 0:13:17.760
<v Speaker 3>that blackout is really brutal for the humanitarian crisis that's

0:13:17.800 --> 0:13:20.320
<v Speaker 3>being injected after a ten month civil war. All of

0:13:20.360 --> 0:13:23.200
<v Speaker 3>this ultimately questioning how Starlink is being used and what

0:13:23.240 --> 0:13:25.920
<v Speaker 3>the company ultimately knows about it. We say, Numerg's match

0:13:26.080 --> 0:13:28.320
<v Speaker 3>Chaffkin is with us now. And when we think of

0:13:28.720 --> 0:13:32.880
<v Speaker 3>Russian Ukraine in particular, Starlink has come back and said,

0:13:33.080 --> 0:13:35.720
<v Speaker 3>not to our knowledge is it being used right.

0:13:35.640 --> 0:13:39.679
<v Speaker 8>Well, Starlink denied that its devices were being used in Russia,

0:13:39.679 --> 0:13:41.640
<v Speaker 8>that its service is being used in Russia, although the

0:13:41.679 --> 0:13:44.679
<v Speaker 8>claim was not necessarily that the devices were being used

0:13:44.720 --> 0:13:48.400
<v Speaker 8>in Russia, but in Russian occupied Ukraine, so in other words,

0:13:48.400 --> 0:13:51.400
<v Speaker 8>in Ukraine. And this kind of calls back to this

0:13:51.520 --> 0:13:55.280
<v Speaker 8>earlier incident that happened, which was reporting the Walter Isaacson book,

0:13:55.320 --> 0:14:00.319
<v Speaker 8>where Musk apparently according to Isaacson, stopped the service from

0:14:00.320 --> 0:14:05.520
<v Speaker 8>being turned on in Crimea, which is international law recognizes

0:14:05.640 --> 0:14:09.160
<v Speaker 8>Ukraine Russia ANX in twenty fourteen. So you have this

0:14:09.240 --> 0:14:12.480
<v Speaker 8>situation where Starlink, which was developed essentially as a civilian

0:14:12.520 --> 0:14:14.559
<v Speaker 8>technology Musk has talked about, you know, this was for

0:14:14.679 --> 0:14:16.640
<v Speaker 8>Netflix and chill, this is something that was meant to

0:14:16.640 --> 0:14:19.240
<v Speaker 8>be used for video calls and so on, has been

0:14:19.680 --> 0:14:22.520
<v Speaker 8>partly because you know, it's pretty useful and the way

0:14:22.560 --> 0:14:26.359
<v Speaker 8>it's used has become like a de facto military technology,

0:14:26.560 --> 0:14:29.640
<v Speaker 8>and SpaceX has been trying to capitalize on that while

0:14:29.720 --> 0:14:31.920
<v Speaker 8>kind of beating back criticism that it's doing so in

0:14:31.960 --> 0:14:33.160
<v Speaker 8>an irresponsible way.

0:14:34.360 --> 0:14:36.920
<v Speaker 4>Caroline made a good point, which is the wording Musk

0:14:37.160 --> 0:14:40.240
<v Speaker 4>used was to the best of our knowledge, And one

0:14:40.360 --> 0:14:42.800
<v Speaker 4>user on X said, what do you mean the best

0:14:42.840 --> 0:14:46.880
<v Speaker 4>of your knowledge? And his response was the link doesn't work.

0:14:47.920 --> 0:14:50.400
<v Speaker 4>By that, I think he means that the technology doesn't

0:14:50.480 --> 0:14:56.360
<v Speaker 4>work in the Russian jurisdiction. I guess what more do

0:14:56.440 --> 0:15:00.640
<v Speaker 4>we know about SpaceX and Starlink's ability to troll things

0:15:00.640 --> 0:15:01.440
<v Speaker 4>in jurisdictions?

0:15:01.520 --> 0:15:01.680
<v Speaker 1>Right?

0:15:01.720 --> 0:15:04.600
<v Speaker 4>I know there's that map on the website that shows

0:15:04.640 --> 0:15:06.120
<v Speaker 4>where the product's operational.

0:15:06.440 --> 0:15:09.840
<v Speaker 8>Yeah, I don't think they're able to control the use

0:15:09.840 --> 0:15:12.000
<v Speaker 8>in a very granular way, and it's it's possible that

0:15:12.040 --> 0:15:16.560
<v Speaker 8>these devices. Musk has denied that Russia purchased these devices.

0:15:16.560 --> 0:15:19.480
<v Speaker 8>Possible the devices were captured. Of of course, it is also possible,

0:15:19.520 --> 0:15:21.800
<v Speaker 8>like were purchased through an intermediary or something like that.

0:15:22.600 --> 0:15:24.840
<v Speaker 8>And of course we should look at all these claims

0:15:24.880 --> 0:15:29.920
<v Speaker 8>as claims. Right, this is the Ukrainian military reporting something

0:15:29.920 --> 0:15:32.560
<v Speaker 8>that they overheard through their intelligence. So again it's all

0:15:32.560 --> 0:15:33.160
<v Speaker 8>pretty fuzzy.

0:15:33.200 --> 0:15:33.600
<v Speaker 1>I'd say.

0:15:33.600 --> 0:15:36.360
<v Speaker 8>What it does show though, is that, you know, Elon

0:15:36.480 --> 0:15:39.480
<v Speaker 8>Musk has kind of made a show of weighing in

0:15:39.520 --> 0:15:43.120
<v Speaker 8>on foreign policy, of expressing sort of not not exactly

0:15:43.280 --> 0:15:46.680
<v Speaker 8>pro Russia sentiments, but views towards Russia that I'd say

0:15:46.680 --> 0:15:49.280
<v Speaker 8>are more sympathetic than the one viewed by the United

0:15:49.320 --> 0:15:52.160
<v Speaker 8>States government. And that creates like an additional layer of

0:15:52.160 --> 0:15:55.160
<v Speaker 8>complexity when something like this comes up, because you know,

0:15:55.200 --> 0:15:58.720
<v Speaker 8>whatever is going on, you have you know, this very loud,

0:15:59.320 --> 0:16:03.280
<v Speaker 8>you know, very very opinionated CEO weighing in on political issues,

0:16:03.440 --> 0:16:05.640
<v Speaker 8>and that creates, you know, again an additional air of

0:16:05.640 --> 0:16:10.440
<v Speaker 8>complication as they're trying to market this potentially to military

0:16:10.480 --> 0:16:12.160
<v Speaker 8>groups in the US and US allies.

0:16:12.840 --> 0:16:23.880
<v Speaker 4>All right, Bloomberg's Max Chafkin over in New York, Bitcoin

0:16:23.960 --> 0:16:26.640
<v Speaker 4>hitting forty nine thousand for the first time in a month.

0:16:26.840 --> 0:16:30.280
<v Speaker 4>For some, bitcoin and crypto are back, but for others

0:16:30.600 --> 0:16:33.760
<v Speaker 4>there's still trauma from years of volatility in a battle

0:16:34.040 --> 0:16:37.600
<v Speaker 4>between fomo and selling it again. The total market cap

0:16:37.760 --> 0:16:40.560
<v Speaker 4>of the biggest digital currencies, bitcoin and Ether has been

0:16:40.600 --> 0:16:43.720
<v Speaker 4>boosted by the SEC's approval of spot ets, but it

0:16:43.760 --> 0:16:46.960
<v Speaker 4>also masks the reality of what the last few years

0:16:47.000 --> 0:16:49.520
<v Speaker 4>have been like. If you were a crypto investor starting

0:16:49.520 --> 0:16:53.280
<v Speaker 4>in twenty twenty one, you've lived through ftx's collapse and

0:16:53.440 --> 0:16:56.600
<v Speaker 4>thousands waiting to learn if they can access their funds

0:16:56.800 --> 0:17:00.000
<v Speaker 4>on the exchange even if you had some bitcoin twelve

0:17:00.000 --> 0:17:03.040
<v Speaker 4>one thousand, other smaller old coins don't exist anymore or

0:17:03.080 --> 0:17:06.000
<v Speaker 4>are now I liquid. And then there's the ride itself

0:17:06.080 --> 0:17:09.200
<v Speaker 4>if you're hoddling crypto, lingo for holding onto an investment,

0:17:09.320 --> 0:17:11.760
<v Speaker 4>and no matter the cost, you've been through it. Bitcoin

0:17:11.840 --> 0:17:14.600
<v Speaker 4>jump from forty four thousand to forty eight thousand bar

0:17:14.640 --> 0:17:17.200
<v Speaker 4>token since February twenty twenty two, but in the interim

0:17:17.480 --> 0:17:19.959
<v Speaker 4>there's been days where the price has swung thousands of

0:17:20.000 --> 0:17:23.119
<v Speaker 4>dollars and we hit a lower fifteen thousand five hundred,

0:17:23.200 --> 0:17:26.359
<v Speaker 4>and for all the drama, we still aren't clear on

0:17:26.440 --> 0:17:29.320
<v Speaker 4>the real world use case of digital assets. The latest

0:17:29.359 --> 0:17:32.959
<v Speaker 4>bounce hasn't settled the biggest worries about crypto. Let's bring

0:17:32.960 --> 0:17:36.280
<v Speaker 4>in Bloomberg Shnali Bassak. That was a long monologue about

0:17:36.320 --> 0:17:38.200
<v Speaker 4>where we actually are now with crypto.

0:17:38.920 --> 0:17:39.840
<v Speaker 1>How do you read it?

0:17:41.280 --> 0:17:42.280
<v Speaker 3>What is the use case?

0:17:42.320 --> 0:17:44.919
<v Speaker 9>It's an interesting question here because, of course, now you

0:17:44.960 --> 0:17:47.560
<v Speaker 9>have bitcoin, which of course is the king maker of

0:17:47.560 --> 0:17:51.240
<v Speaker 9>the crypto industry, and you have seen, interestingly enough, ed

0:17:51.880 --> 0:17:54.159
<v Speaker 9>you have seen the price of bitcoin heart back to

0:17:54.240 --> 0:17:56.760
<v Speaker 9>levels that we haven't seen since December of twenty twenty one.

0:17:57.040 --> 0:17:59.560
<v Speaker 9>Now we are well off those highs, as you were saying,

0:17:59.720 --> 0:18:03.320
<v Speaker 9>we have breached above sixty thousand in the peak of

0:18:03.520 --> 0:18:06.399
<v Speaker 9>what we saw in crypto euphoria when people were buying

0:18:06.400 --> 0:18:09.240
<v Speaker 9>bitcoin at home before FTX had collapsed.

0:18:09.520 --> 0:18:11.199
<v Speaker 10>But we are riding back higher.

0:18:11.240 --> 0:18:15.000
<v Speaker 9>And you're seeing the launches of these ETFs, particularly for

0:18:15.040 --> 0:18:18.800
<v Speaker 9>black Rock and Fidelity in particular, have the greatest number

0:18:18.880 --> 0:18:23.080
<v Speaker 9>of assets being brought in, according to Bloomberg Intelligence ever

0:18:23.320 --> 0:18:26.840
<v Speaker 9>for an ETF launch of any asset class. So you

0:18:26.920 --> 0:18:30.119
<v Speaker 9>are seeing traditional Wall Street hop in and help give

0:18:30.400 --> 0:18:34.080
<v Speaker 9>that value proposition to bitcoin. We are seeing it finally

0:18:34.160 --> 0:18:36.720
<v Speaker 9>hop back up to levels that we saw when you

0:18:36.800 --> 0:18:39.879
<v Speaker 9>initially saw the excitement around the ETF The question is

0:18:40.040 --> 0:18:43.040
<v Speaker 9>does it reach new highs once again? You still have

0:18:43.119 --> 0:18:46.439
<v Speaker 9>the having coming up in coming weeks. There is an

0:18:46.520 --> 0:18:48.600
<v Speaker 9>argument to be made that some of that is already

0:18:48.600 --> 0:18:52.120
<v Speaker 9>priced in. But interestingly, it's not just Bitcoin actually that's

0:18:52.119 --> 0:18:54.720
<v Speaker 9>seeing a lot of love lately, even some other alts

0:18:54.760 --> 0:18:58.920
<v Speaker 9>coins or tokens outside of the initial big two Bitcoin ethereum.

0:18:59.240 --> 0:19:01.920
<v Speaker 9>Take Slona. Solana is up thirteen percent over the last

0:19:01.960 --> 0:19:04.240
<v Speaker 9>seven days, and this is a network that had seen

0:19:04.240 --> 0:19:07.040
<v Speaker 9>an outage just a couple of days ago. Really, so

0:19:07.160 --> 0:19:09.480
<v Speaker 9>a lot of love coming back to the crypto markets today.

0:19:09.720 --> 0:19:12.720
<v Speaker 3>Three point eight billion dollars taken in by Black Rocks,

0:19:12.760 --> 0:19:15.720
<v Speaker 3>I show a Bitcoin trust, two point one by Fidelity.

0:19:15.960 --> 0:19:23.359
<v Speaker 3>We thank Jannalibassch for the inside track on all things crypto.

0:19:27.080 --> 0:19:30.000
<v Speaker 4>Welcome back to Bloomberg Technology Ed Love loow here in San.

0:19:29.840 --> 0:19:31.440
<v Speaker 3>Francisco, Caroline Hein and Neiork.

0:19:31.520 --> 0:19:34.560
<v Speaker 4>Let's get back to the digital campaign trail with President

0:19:34.680 --> 0:19:38.960
<v Speaker 4>Joe Biden's re election campaign launching a TikTok account in

0:19:39.000 --> 0:19:41.280
<v Speaker 4>a bid to reach younger voters. Move that comes as

0:19:41.280 --> 0:19:45.440
<v Speaker 4>the popular short form video platform confronts concerns over its

0:19:45.480 --> 0:19:48.280
<v Speaker 4>ties to China's bringing bloomber Kdie lines out in DC

0:19:48.840 --> 0:19:53.040
<v Speaker 4>showing the video, it's one way to engage with the

0:19:53.600 --> 0:19:54.200
<v Speaker 4>younger voter.

0:19:55.920 --> 0:19:56.120
<v Speaker 7>Yeah.

0:19:56.160 --> 0:19:59.040
<v Speaker 11>Absolutely, And the White House already has been engaged in

0:19:59.119 --> 0:20:01.720
<v Speaker 11>trying to use tech talk, not outright via its own

0:20:02.400 --> 0:20:05.320
<v Speaker 11>actual account, but of course they've engaged with content creators

0:20:05.320 --> 0:20:07.720
<v Speaker 11>on the platform before in order to push their messages

0:20:07.760 --> 0:20:11.080
<v Speaker 11>and reach these younger individuals. And that's exactly what the

0:20:11.119 --> 0:20:13.800
<v Speaker 11>campaign is trying to do here now, engage with younger

0:20:13.880 --> 0:20:15.840
<v Speaker 11>voters who the president is going to rely on to

0:20:15.840 --> 0:20:18.000
<v Speaker 11>show up for him in November if he wants to

0:20:18.000 --> 0:20:20.879
<v Speaker 11>win a second term. Now, this account does belong to

0:20:20.880 --> 0:20:23.960
<v Speaker 11>the Biden campaign, not to the President himself, but essentially

0:20:23.960 --> 0:20:26.080
<v Speaker 11>what they're trying to reach is that key demographic. A

0:20:26.119 --> 0:20:28.720
<v Speaker 11>Pew Research survey from just two weeks ago found sixty

0:20:28.760 --> 0:20:31.400
<v Speaker 11>two percent of US adults between eighteen and twenty nine

0:20:31.840 --> 0:20:34.960
<v Speaker 11>use TikTok. Thirty three percent of adults overall do, so

0:20:35.000 --> 0:20:37.000
<v Speaker 11>that's who they're trying to reach. But you can understand

0:20:37.000 --> 0:20:40.119
<v Speaker 11>how this may seem a bit ironic here, considering this

0:20:40.160 --> 0:20:44.080
<v Speaker 11>administration also has voice concerns about this platform. Biden himself

0:20:44.119 --> 0:20:47.040
<v Speaker 11>signed into law legislation that bans the use of TikTok

0:20:47.080 --> 0:20:50.280
<v Speaker 11>on government phones. If you work for a government agency

0:20:50.280 --> 0:20:52.520
<v Speaker 11>and have a phone tied to that agency, you aren't

0:20:52.520 --> 0:20:55.359
<v Speaker 11>allowed to use this platform. Of course, under the Biden administration,

0:20:55.440 --> 0:20:58.960
<v Speaker 11>Siphius is also threatened to ban TikTok in the US

0:20:59.000 --> 0:21:02.440
<v Speaker 11>if ByteDance were not to divest from the platform here.

0:21:02.520 --> 0:21:04.679
<v Speaker 11>So you have those concerns on the one hand, and

0:21:04.720 --> 0:21:07.560
<v Speaker 11>campaign officials have told Bloomberg that they are taking protections

0:21:07.560 --> 0:21:09.840
<v Speaker 11>in order to make sure this account is secure. But

0:21:09.880 --> 0:21:11.840
<v Speaker 11>on the other hand, the end voters are there and

0:21:11.880 --> 0:21:13.560
<v Speaker 11>they say they want to meet them where they are.

0:21:13.800 --> 0:21:16.520
<v Speaker 3>Yeah, I mean we've had already Republican Senator Josh Harley

0:21:16.520 --> 0:21:19.760
<v Speaker 3>from Missouri's going to the other social media platform x

0:21:19.840 --> 0:21:24.200
<v Speaker 3>to say, look, why on earth they interacting on TikTok

0:21:24.240 --> 0:21:26.240
<v Speaker 3>at the moment and really feeling that this is again

0:21:26.280 --> 0:21:29.720
<v Speaker 3>a Chinese by app to that perspective, Is there any

0:21:29.720 --> 0:21:35.199
<v Speaker 3>anticipation that Biden and Harris individually wouldever start taking to

0:21:35.240 --> 0:21:38.320
<v Speaker 3>TikTok or does this have to remain a campaign sort

0:21:38.359 --> 0:21:40.840
<v Speaker 3>of at social presence well.

0:21:41.600 --> 0:21:44.360
<v Speaker 11>Campaign officials have told Bloomberg that no decision yet has

0:21:44.400 --> 0:21:47.040
<v Speaker 11>been made whether Vice President Harris or President Biden will

0:21:47.040 --> 0:21:49.199
<v Speaker 11>have their own accounts. For now, this does seem to

0:21:49.240 --> 0:21:51.840
<v Speaker 11>just be going through the campaign, because, of course you

0:21:51.920 --> 0:21:54.119
<v Speaker 11>also have on the other hand, on the Republican ticket,

0:21:54.119 --> 0:21:56.480
<v Speaker 11>candidates like Nikki Haley still very much in this race,

0:21:56.480 --> 0:21:59.280
<v Speaker 11>even though it looks unlikely she'll be campaigning against Biden

0:21:59.480 --> 0:22:01.840
<v Speaker 11>in a general election, who has actually called for the

0:22:01.840 --> 0:22:04.840
<v Speaker 11>outright banning of TikTok because of concerns over China. So

0:22:04.880 --> 0:22:07.040
<v Speaker 11>certainly there is pressure there on the Republican side, and

0:22:07.040 --> 0:22:08.800
<v Speaker 11>there could be a little bit of a political headwind

0:22:08.840 --> 0:22:11.359
<v Speaker 11>if if Biden were to push even further into the

0:22:11.400 --> 0:22:13.800
<v Speaker 11>TikTok realm, and you mentioned Senator Josh Holly, I would

0:22:13.800 --> 0:22:15.320
<v Speaker 11>just note that, of course, there have been a lot

0:22:15.320 --> 0:22:19.080
<v Speaker 11>of legislative efforts to ban this platform entirely largely, though

0:22:19.080 --> 0:22:21.320
<v Speaker 11>they do seem to have stalled out. As we've seen

0:22:21.320 --> 0:22:23.080
<v Speaker 11>born out in recent weeks. It's very hard for this

0:22:23.119 --> 0:22:25.000
<v Speaker 11>Congress to get anything over the finish line, and the

0:22:25.000 --> 0:22:27.880
<v Speaker 11>TikTok ban probably would be pretty difficult as.

0:22:27.800 --> 0:22:31.080
<v Speaker 3>Well there with a context and the reality. Kaylie Lynes,

0:22:31.119 --> 0:22:33.359
<v Speaker 3>we thank you so much for joining across the board

0:22:33.400 --> 0:22:36.439
<v Speaker 3>on TikTok, but let's keep this conversation going on basically

0:22:36.480 --> 0:22:39.560
<v Speaker 3>social media and its role of generative AI in the

0:22:39.680 --> 0:22:42.720
<v Speaker 3>US election. In fact, the image generating AI platform mid

0:22:42.800 --> 0:22:46.240
<v Speaker 3>Journey is considering banning people from using its software to

0:22:46.240 --> 0:22:48.800
<v Speaker 3>make political images over the next year, in particular pictures

0:22:48.840 --> 0:22:51.919
<v Speaker 3>of Biden and Trump. Discuss all of this with doctor

0:22:52.119 --> 0:22:55.320
<v Speaker 3>Nazua Ara. She is the chief researcher and cryptography and

0:22:55.480 --> 0:23:01.200
<v Speaker 3>Autonomous Robotics research centers at the Technology Innovation Institute. From you, doctor,

0:23:01.280 --> 0:23:05.679
<v Speaker 3>we want answers ultimately of what can be done practically speaking,

0:23:05.720 --> 0:23:08.879
<v Speaker 3>as we think about Biden's voice being created by a

0:23:08.920 --> 0:23:12.440
<v Speaker 3>deep fake, you're saying that LLM Large Language Model providers

0:23:12.840 --> 0:23:16.080
<v Speaker 3>can put gudrails in place we see to minimize the

0:23:16.160 --> 0:23:19.280
<v Speaker 3>generation of election related content. Is mid journey the way

0:23:19.280 --> 0:23:21.120
<v Speaker 3>to do this. How are you seeing it being put

0:23:21.160 --> 0:23:21.760
<v Speaker 3>into effect?

0:23:23.040 --> 0:23:27.120
<v Speaker 12>Good morning? Yes, indeed, I mean what you showed and

0:23:27.280 --> 0:23:31.200
<v Speaker 12>the adoption of AI, it's potential impact on the security

0:23:31.240 --> 0:23:35.160
<v Speaker 12>of the infrastructure and online activities are pertinent, especially when

0:23:35.160 --> 0:23:39.640
<v Speaker 12>we talk about in the context of election cycles. As

0:23:39.680 --> 0:23:42.840
<v Speaker 12>you mentioned, the most common threat using generative aies and

0:23:42.880 --> 0:23:45.359
<v Speaker 12>guns are deep figs. This could be through the voice,

0:23:45.400 --> 0:23:49.000
<v Speaker 12>through the video, through the image, and the text, and

0:23:49.320 --> 0:23:53.119
<v Speaker 12>obviously they aim at spreading the false information, releading information,

0:23:53.400 --> 0:23:57.760
<v Speaker 12>identity theft, and gaining access to sensitive information. Let alone

0:23:57.880 --> 0:24:00.520
<v Speaker 12>all the malicious chatbots that can be you used as

0:24:01.320 --> 0:24:06.080
<v Speaker 12>primary tools for social engineering, the malware the ransomware that

0:24:06.119 --> 0:24:13.159
<v Speaker 12>can be created using this generated AI on the deep figs.

0:24:13.200 --> 0:24:15.679
<v Speaker 12>In particularly today, we see a lot of tools that

0:24:15.720 --> 0:24:19.480
<v Speaker 12>are being developed, however they are in their infancy. One

0:24:19.520 --> 0:24:24.080
<v Speaker 12>of the approaches is watermarking. In fact, Meta announced a

0:24:24.119 --> 0:24:28.640
<v Speaker 12>few days ago that Facebook and Instagram will start doing so. However,

0:24:28.720 --> 0:24:32.119
<v Speaker 12>in my opinion, this could be quite easily evaded even

0:24:32.160 --> 0:24:36.280
<v Speaker 12>for images for text where gradients or even voice tradients

0:24:36.280 --> 0:24:40.960
<v Speaker 12>can be easily manipulated. The deployment of model guard rays

0:24:41.000 --> 0:24:44.800
<v Speaker 12>of policies, especially when it comes to content related to elections.

0:24:44.840 --> 0:24:48.720
<v Speaker 12>Today you can basically classify the content and when it

0:24:48.760 --> 0:24:53.680
<v Speaker 12>comes to election related content, these guardless can be applied

0:24:53.800 --> 0:24:58.680
<v Speaker 12>by the LLM model, hosting companies and the content providers,

0:24:58.680 --> 0:25:02.000
<v Speaker 12>and strict policies can be applied Another way to think

0:25:02.040 --> 0:25:06.479
<v Speaker 12>about other countermeasures is that we can generate signatures and

0:25:06.560 --> 0:25:10.760
<v Speaker 12>profiles of whatever voice or whatever text or whatever image

0:25:10.800 --> 0:25:13.680
<v Speaker 12>comes up as the deep fake. Those can be logged

0:25:13.720 --> 0:25:16.960
<v Speaker 12>into a distributed system, and then we can enable auditing

0:25:17.000 --> 0:25:19.960
<v Speaker 12>and tracking from the al alam hosters or from the

0:25:20.000 --> 0:25:21.480
<v Speaker 12>content providers.

0:25:21.640 --> 0:25:26.800
<v Speaker 4>Doctor, here's the thing that you've outlined where the technology

0:25:26.840 --> 0:25:31.399
<v Speaker 4>is available. Who has a better command of the technology

0:25:31.600 --> 0:25:36.840
<v Speaker 4>the threat actors who intend to spread malicious content or

0:25:36.880 --> 0:25:40.199
<v Speaker 4>misinformation or the platforms who are trying to ward off

0:25:40.240 --> 0:25:40.840
<v Speaker 4>against it.

0:25:42.520 --> 0:25:46.399
<v Speaker 12>So today, obviously the one that has the upper hand

0:25:46.680 --> 0:25:50.280
<v Speaker 12>is the threat actor, right, So they use the large

0:25:50.359 --> 0:25:52.560
<v Speaker 12>language models and then they can use them and the

0:25:52.640 --> 0:25:57.640
<v Speaker 12>content context of gangs to generate those deep fakes. However,

0:25:58.119 --> 0:26:01.560
<v Speaker 12>as I was saying, there are some countermeasures that the

0:26:01.680 --> 0:26:07.280
<v Speaker 12>LLM owners and the hosting companies can these measures or

0:26:07.320 --> 0:26:09.919
<v Speaker 12>these countermeasures can be put in place in order to

0:26:09.960 --> 0:26:13.440
<v Speaker 12>minimize the impact and to minimize the capabilities of those

0:26:13.480 --> 0:26:16.959
<v Speaker 12>threat actors. In addition to the guardrails and the strict

0:26:16.960 --> 0:26:21.520
<v Speaker 12>policies that I was mentioning, there are other cybersecurity protocols

0:26:21.520 --> 0:26:24.080
<v Speaker 12>that need to be followed by those llms, and today

0:26:24.160 --> 0:26:26.840
<v Speaker 12>as we see those are I would say very weekly

0:26:27.000 --> 0:26:31.119
<v Speaker 12>or very loosely adopted. For example, the adoption of multifactor

0:26:31.160 --> 0:26:34.720
<v Speaker 12>authentication to log or to access this model can be applied.

0:26:35.160 --> 0:26:39.280
<v Speaker 12>Which this multifactor authentication could be a password, could be

0:26:39.320 --> 0:26:43.199
<v Speaker 12>a passphrase, could necessitate the provision of an email. It

0:26:43.240 --> 0:26:46.439
<v Speaker 12>could even be a biometric and this would slaw or

0:26:46.480 --> 0:26:50.280
<v Speaker 12>this would prevent some of the threat actors from this

0:26:50.480 --> 0:26:55.640
<v Speaker 12>from passing this MFA. Deploying adequate cryptographic and privacy measures

0:26:55.680 --> 0:26:59.480
<v Speaker 12>can also be done by those large language models. Deployment

0:26:59.560 --> 0:27:03.760
<v Speaker 12>of others cyber defense, especially safety tech systems to prevent

0:27:03.880 --> 0:27:08.800
<v Speaker 12>online HOWM can also be deployed by these lms. So

0:27:08.800 --> 0:27:12.440
<v Speaker 12>there are other, let's say, traditional cybersecurity protocols that need

0:27:12.520 --> 0:27:15.280
<v Speaker 12>to be adopted by the large language model providers.

0:27:16.600 --> 0:27:20.640
<v Speaker 4>NASUS from the Technology Innovation Institute, we appreciate your expertise.

0:27:20.800 --> 0:27:24.920
<v Speaker 4>Thank you. Sticking with AI. An analysis by Morgan Stanley

0:27:24.960 --> 0:27:29.080
<v Speaker 4>strategist says US companies are discussing cost control on earnings

0:27:29.119 --> 0:27:32.400
<v Speaker 4>calls at a record rate, AMIDE a push to reallocate

0:27:32.520 --> 0:27:34.960
<v Speaker 4>funds and invest in new technologies and from me Carr,

0:27:34.960 --> 0:27:37.400
<v Speaker 4>I think back to that conversation I have with ruthe Porat.

0:27:37.480 --> 0:27:40.080
<v Speaker 4>That's exactly what they're doing, cutting where there's no growth

0:27:40.160 --> 0:27:42.560
<v Speaker 4>and reassigning to the AI initiative.

0:27:42.640 --> 0:27:46.480
<v Speaker 3>But this goes outside of the world of just technology firms.

0:27:46.560 --> 0:27:48.919
<v Speaker 3>You think are ups coming out of their earnings talking

0:27:48.960 --> 0:27:51.159
<v Speaker 3>on one side of the mouth about the need for

0:27:51.200 --> 0:27:53.399
<v Speaker 3>efficiency the job cuts they have to enact, and then

0:27:53.400 --> 0:27:56.520
<v Speaker 3>the other side how they're really really focused on general

0:27:56.560 --> 0:27:58.960
<v Speaker 3>to AI and wanting to deploy more assets, more money

0:27:59.000 --> 0:28:02.439
<v Speaker 3>towards that. The team over at Morgan Stanley, Mike Wilson

0:28:02.560 --> 0:28:05.600
<v Speaker 3>leading it really just saying there is this overlap. Yes,

0:28:05.680 --> 0:28:09.240
<v Speaker 3>you're hearing operational efficiency again and again and again, but

0:28:09.280 --> 0:28:12.360
<v Speaker 3>actually the same people uttering it are tending to talk

0:28:12.440 --> 0:28:15.040
<v Speaker 3>up a lot about the AI opportunity and the investment

0:28:15.280 --> 0:28:17.720
<v Speaker 3>in technology, and they say they're really starting to see

0:28:17.720 --> 0:28:23.600
<v Speaker 3>basically this ongoing narrative of both job losses, basically an AI.

0:28:23.400 --> 0:28:27.080
<v Speaker 4>Spading for investors. Then they look at EPs and say,

0:28:27.280 --> 0:28:29.120
<v Speaker 4>did it work. That's been the story that's.

0:28:29.040 --> 0:28:32.199
<v Speaker 3>Earning season Absolutely fascinating. That's sort of the charts. You've

0:28:32.200 --> 0:28:33.879
<v Speaker 3>got to go into the Bloomberg terminal and have a

0:28:33.880 --> 0:28:35.920
<v Speaker 3>little look at the story and just show how they've

0:28:35.960 --> 0:28:38.720
<v Speaker 3>been trying to look at the transcript mentions of operational

0:28:38.760 --> 0:28:41.760
<v Speaker 3>efficiency and then who's talking up AI coming up. Look,

0:28:41.800 --> 0:28:45.000
<v Speaker 3>we're going to keep deep diving into some unlooked parts

0:28:45.320 --> 0:28:47.440
<v Speaker 3>of the tech universe that we should look at more.

0:28:47.560 --> 0:28:49.880
<v Speaker 3>And we're going to focus on diversity next, particularly in

0:28:49.960 --> 0:28:53.080
<v Speaker 3>mention capital. Joey Mack from Chicago Blend's gonna be joining us.

0:28:53.240 --> 0:29:04.960
<v Speaker 3>This is Bluemberg Technology. Let's just have a discussion about

0:29:04.960 --> 0:29:07.400
<v Speaker 3>diversity or lack there of right now, because Amazon has

0:29:07.440 --> 0:29:11.360
<v Speaker 3>allegedly retaliated against three female employees after the women ensued

0:29:11.360 --> 0:29:14.160
<v Speaker 3>the company for pay discrimination. Now, the plaintiffs are caused

0:29:14.400 --> 0:29:17.560
<v Speaker 3>in saying this within some new court papers. The lawsuit,

0:29:17.640 --> 0:29:19.840
<v Speaker 3>which was far back in November, alleges that the company

0:29:19.840 --> 0:29:22.520
<v Speaker 3>pays women less than men for similar work and that

0:29:22.560 --> 0:29:27.040
<v Speaker 3>females employees will they face systemic discrimination when seeking promotions.

0:29:27.440 --> 0:29:29.680
<v Speaker 3>But we want to bring this conversation more broadly to

0:29:29.920 --> 0:29:33.040
<v Speaker 3>say the VC space where women founded companies also get

0:29:33.240 --> 0:29:36.000
<v Speaker 3>less funding than the average nationwide. But look, there's some

0:29:36.040 --> 0:29:38.640
<v Speaker 3>drummers of hope here. Chicago, for example, the best city

0:29:38.640 --> 0:29:41.120
<v Speaker 3>for women founders, according to a new report by a

0:29:41.200 --> 0:29:45.280
<v Speaker 3>Chicago nonprofit. Chicago Blend is a nonprofit working to advanced diversity, equity,

0:29:45.320 --> 0:29:48.120
<v Speaker 3>and inclusion in Chicago's VC community. Peace to say CEO

0:29:48.360 --> 0:29:51.000
<v Speaker 3>Joey Matt joins us some more and actually East Coast

0:29:51.600 --> 0:29:52.680
<v Speaker 3>fed the best here.

0:29:52.840 --> 0:29:55.320
<v Speaker 2>It was Chicago, Boston.

0:29:55.160 --> 0:29:57.000
<v Speaker 3>New York, and then swiftly behind them comes in the

0:29:57.040 --> 0:30:01.240
<v Speaker 3>West Coast San Francisco, La, Seattle. Are used seeing improvement

0:30:01.800 --> 0:30:04.880
<v Speaker 3>here visa the founding of companies that we saw in

0:30:04.920 --> 0:30:05.880
<v Speaker 3>the prior five years.

0:30:05.880 --> 0:30:08.800
<v Speaker 13>To this set of data, we are in fact, over

0:30:08.800 --> 0:30:11.280
<v Speaker 13>the last five years, we found that women have actually

0:30:11.320 --> 0:30:14.680
<v Speaker 13>made some really great gains in terms of being represented

0:30:14.680 --> 0:30:18.040
<v Speaker 13>among venture backed companies that are that are raising venture dollars.

0:30:18.680 --> 0:30:21.720
<v Speaker 13>As mentioned earlier, you know, in Chicago, more than thirty

0:30:21.720 --> 0:30:23.960
<v Speaker 13>six percent of our venture backed companies in the last

0:30:24.000 --> 0:30:26.960
<v Speaker 13>five years had at least one woman founder, which is

0:30:27.000 --> 0:30:29.280
<v Speaker 13>the highest rate of representation of any city included in

0:30:29.320 --> 0:30:32.760
<v Speaker 13>this report. However, when we look at the amount of

0:30:32.800 --> 0:30:37.400
<v Speaker 13>money that those women founders those companies are raising, it's

0:30:37.400 --> 0:30:39.920
<v Speaker 13>closer to about fifteen percent of all the VC dollars

0:30:39.920 --> 0:30:43.640
<v Speaker 13>that were deployed to Chicago companies. So you know, there's

0:30:43.680 --> 0:30:46.560
<v Speaker 13>still quite a bit of work to do to address

0:30:46.640 --> 0:30:47.680
<v Speaker 13>that that funding gap.

0:30:48.560 --> 0:30:51.160
<v Speaker 4>What are the factors behind the data, Joey, What is

0:30:51.200 --> 0:30:54.600
<v Speaker 4>it that makes Chicago an attractive place to be a

0:30:54.840 --> 0:30:57.320
<v Speaker 4>venture capitalist or found a startup.

0:30:58.520 --> 0:31:01.480
<v Speaker 13>One thing that's working really well in Chicago is the

0:31:01.520 --> 0:31:04.320
<v Speaker 13>fact that there are a number of organizations and programs

0:31:04.320 --> 0:31:07.960
<v Speaker 13>that are focused on deploying capital, especially early stage capital,

0:31:08.000 --> 0:31:11.720
<v Speaker 13>to women founders. And oftentimes when raising venture capital, being

0:31:11.720 --> 0:31:15.040
<v Speaker 13>able to demonstrate traction is really essential. So ensuring that

0:31:15.280 --> 0:31:18.000
<v Speaker 13>those founders are able to get that early stage capital,

0:31:18.080 --> 0:31:21.440
<v Speaker 13>that non dilute of capital, very early in their startup

0:31:21.520 --> 0:31:24.080
<v Speaker 13>journey is really essential. And I think that there's been

0:31:24.120 --> 0:31:26.560
<v Speaker 13>a lot of work here in Chicago and elsewhere around

0:31:26.560 --> 0:31:29.200
<v Speaker 13>the country to focus on that, and.

0:31:29.080 --> 0:31:30.000
<v Speaker 2>That's what we're seeing.

0:31:30.760 --> 0:31:32.680
<v Speaker 3>Sorry sorry to interrupt, but there's also been a lot

0:31:32.720 --> 0:31:35.160
<v Speaker 3>of work on diversity of all its guys. Is so

0:31:35.520 --> 0:31:38.320
<v Speaker 3>for example, black found and businesses as well. And you're

0:31:38.320 --> 0:31:40.520
<v Speaker 3>shining a light on that's doing better. And you've got

0:31:40.520 --> 0:31:42.560
<v Speaker 3>the second highest proportion in terms of percentage of you

0:31:42.600 --> 0:31:45.360
<v Speaker 3>se back companies with a Black or African American founder

0:31:45.360 --> 0:31:48.640
<v Speaker 3>about ten percent way of the numbers we're seeing for women, Joey,

0:31:48.680 --> 0:31:53.560
<v Speaker 3>I'm interested in the politics the context of this. We

0:31:53.640 --> 0:31:55.680
<v Speaker 3>had ari An Simone on the show recently of the

0:31:55.680 --> 0:31:59.040
<v Speaker 3>Fearless Fund, and we're starting to see a dei pendulum swing.

0:31:59.080 --> 0:32:01.920
<v Speaker 3>We're seeing people pushing saying that you shouldn't allocate funds

0:32:02.200 --> 0:32:06.120
<v Speaker 3>from a VC or grant perspective to just a minority,

0:32:06.200 --> 0:32:08.360
<v Speaker 3>be it women, be it people of color. Are you

0:32:08.440 --> 0:32:10.920
<v Speaker 3>seeing that in action or are you actually still seeing progress?

0:32:12.000 --> 0:32:14.760
<v Speaker 13>We are seeing progress. Look, there's a lot of misinformation

0:32:14.800 --> 0:32:17.760
<v Speaker 13>that's been put out there around the virtue of diversity,

0:32:17.760 --> 0:32:20.920
<v Speaker 13>equity and inclusion in business and venture capital more broadly.

0:32:21.000 --> 0:32:23.160
<v Speaker 13>But when you look at the funding numbers, even from

0:32:23.200 --> 0:32:26.560
<v Speaker 13>our own report, we're finding that women, people of color,

0:32:26.640 --> 0:32:29.800
<v Speaker 13>people are starting found who are founding companies, they're still

0:32:29.880 --> 0:32:35.680
<v Speaker 13>raising significantly less than their counterparts. So what's really important

0:32:35.720 --> 0:32:39.680
<v Speaker 13>here is ensuring that we are continuing to demonstrate why

0:32:39.720 --> 0:32:42.240
<v Speaker 13>it's good to invest in diversity, the fact that when

0:32:42.280 --> 0:32:45.320
<v Speaker 13>you have more diverse teams, they're more likely to have

0:32:45.640 --> 0:32:49.600
<v Speaker 13>insights into other market opportunities that can ultimately produce better

0:32:49.640 --> 0:32:54.040
<v Speaker 13>products and services for customers and ultimately produce higher returns

0:32:54.080 --> 0:32:57.120
<v Speaker 13>for investors. We need to continue focusing on that, continue

0:32:57.120 --> 0:33:00.320
<v Speaker 13>making that case and demonstrating that there's also need to

0:33:00.320 --> 0:33:02.360
<v Speaker 13>be made in addition to being good for society.

0:33:03.480 --> 0:33:06.520
<v Speaker 4>Chicago ranks number one or number two on your measures,

0:33:06.520 --> 0:33:09.880
<v Speaker 4>but which cities or regions are showing the kind of

0:33:09.920 --> 0:33:13.640
<v Speaker 4>most rapid improvements. There may have been low down the list,

0:33:13.680 --> 0:33:15.840
<v Speaker 4>but are making progress to climb the table.

0:33:17.080 --> 0:33:20.800
<v Speaker 13>Something that we've found really interesting is in Boston, for example,

0:33:20.920 --> 0:33:23.760
<v Speaker 13>they actually do really well when it comes to the

0:33:23.920 --> 0:33:26.880
<v Speaker 13>percentage of dollars that are going to women founded companies.

0:33:26.960 --> 0:33:29.320
<v Speaker 13>So we can look to other parts of the country

0:33:29.320 --> 0:33:32.920
<v Speaker 13>to see where there are, you know, higher proportions, higher

0:33:32.920 --> 0:33:36.360
<v Speaker 13>concentrations of underrepresented founders who are raising venture capital, as

0:33:36.360 --> 0:33:38.880
<v Speaker 13>well as the amount of money that they're raising. But

0:33:39.000 --> 0:33:41.280
<v Speaker 13>the truth is, whether you're looking at Chicago or any

0:33:41.320 --> 0:33:43.840
<v Speaker 13>other part of the country, there is still a significant

0:33:43.840 --> 0:33:46.480
<v Speaker 13>funding gap for women founders of color, and that is

0:33:46.520 --> 0:33:48.440
<v Speaker 13>something that we need to focus on industrywide.

0:33:49.520 --> 0:33:51.840
<v Speaker 4>Chicrgo Blen CEO Joey Matt Great to have you on

0:33:51.880 --> 0:33:53.280
<v Speaker 4>the program. Thank you for your time.

0:34:00.720 --> 0:34:02.760
<v Speaker 3>Let's go back to the Super Bowl because as we

0:34:02.760 --> 0:34:06.160
<v Speaker 3>were discussing earlier, one ad that went viral was Beyonce

0:34:06.600 --> 0:34:08.960
<v Speaker 3>using a Verizon commercial to announce that she would soon

0:34:09.000 --> 0:34:10.200
<v Speaker 3>be releasing new music.

0:34:10.400 --> 0:34:10.600
<v Speaker 10>Now.

0:34:10.600 --> 0:34:12.839
<v Speaker 3>In the ad, she jokes with Comedia and Tony Hale

0:34:13.000 --> 0:34:16.279
<v Speaker 3>about doing something that would quote break the Internet, meaning

0:34:16.400 --> 0:34:18.959
<v Speaker 3>Verizon's five G network, and of course she can't break

0:34:18.960 --> 0:34:20.920
<v Speaker 3>it even with an AI version of herself, but she

0:34:21.000 --> 0:34:24.040
<v Speaker 3>did hint that new music was going to be coming

0:34:24.560 --> 0:34:27.600
<v Speaker 3>just before the commercial ends ed and well, the Internet

0:34:27.640 --> 0:34:28.080
<v Speaker 3>went wild.

0:34:29.280 --> 0:34:32.479
<v Speaker 4>If Beyonce can't break it, can anyone break it? Let's

0:34:32.480 --> 0:34:35.320
<v Speaker 4>stick with Verizon and the Super Bowl and bring in

0:34:35.400 --> 0:34:39.440
<v Speaker 4>Verizon Senior Vice president and Chief Network Officer Lynn Cox.

0:34:39.680 --> 0:34:42.600
<v Speaker 4>And the serious side to this is that it went

0:34:42.640 --> 0:34:45.799
<v Speaker 4>off without a hitch on the field. The teams communicated

0:34:45.840 --> 0:34:49.719
<v Speaker 4>with one another, the fans in the stadium posted to

0:34:49.800 --> 0:34:53.560
<v Speaker 4>social media with vigor. What were you actually doing to

0:34:53.640 --> 0:34:55.320
<v Speaker 4>support that during the game.

0:34:56.080 --> 0:34:59.560
<v Speaker 10>Well, Caroline, thank you for having me. We are thrilled

0:34:59.600 --> 0:35:02.399
<v Speaker 10>with the formance of our network yesterday and frankly all

0:35:02.440 --> 0:35:06.920
<v Speaker 10>weekend long. I was there rooting the team on behind

0:35:06.960 --> 0:35:10.600
<v Speaker 10>the scenes, just supporting any way I could. You know,

0:35:10.680 --> 0:35:14.000
<v Speaker 10>we take this very seriously. We have a deep partnership

0:35:14.040 --> 0:35:16.799
<v Speaker 10>with the NFL, and our customers expect a lot out

0:35:16.840 --> 0:35:20.279
<v Speaker 10>of our network. The most reliable and consistent network. So

0:35:20.640 --> 0:35:24.359
<v Speaker 10>we have spent years planning this deployment and we had,

0:35:25.360 --> 0:35:28.640
<v Speaker 10>for the first time ever, our entire trunch of seaband

0:35:28.680 --> 0:35:31.960
<v Speaker 10>spectrum deployed. That's triple the capacity that they would have

0:35:32.000 --> 0:35:36.120
<v Speaker 10>experienced last year at the Super Bowl in Phoenix. And

0:35:36.600 --> 0:35:39.720
<v Speaker 10>as always, it's millimeter waves time to shine. With sixteen

0:35:39.760 --> 0:35:43.560
<v Speaker 10>hundred megaheartz of capacity on millimeter wave, so customers could

0:35:43.560 --> 0:35:46.680
<v Speaker 10>pretty much do anything they wanted to do on our network,

0:35:46.800 --> 0:35:49.760
<v Speaker 10>whether it was in the bowl, in the tailgating areas,

0:35:49.800 --> 0:35:53.600
<v Speaker 10>in the concourses, the network performed just phenomenally.

0:35:53.680 --> 0:35:56.439
<v Speaker 3>Yeah, would that anyway? Take us behind the scenes, take

0:35:56.520 --> 0:35:59.440
<v Speaker 3>us to you coaching your team. Was at any moment

0:35:59.480 --> 0:36:01.480
<v Speaker 3>where you're when in your mouth, were you're ever so

0:36:01.520 --> 0:36:04.720
<v Speaker 3>slightly worried or was it really like cool heads prevailed throughout?

0:36:05.200 --> 0:36:07.799
<v Speaker 10>Cool heads prevail? I was not worried. You have to

0:36:07.920 --> 0:36:11.680
<v Speaker 10>understand the pride this team takes and designing the network,

0:36:11.760 --> 0:36:15.200
<v Speaker 10>deploying the network, and operating it. We had a team

0:36:15.239 --> 0:36:19.600
<v Speaker 10>of sixty five engineers in our network command center monitoring

0:36:19.680 --> 0:36:23.880
<v Speaker 10>every single sliver of that stadium. What is performance like

0:36:23.960 --> 0:36:26.680
<v Speaker 10>for this group of thirty customers sitting in this section

0:36:26.840 --> 0:36:30.400
<v Speaker 10>or fifty customers. I mean, we have more than twenty

0:36:30.520 --> 0:36:34.279
<v Speaker 10>of our test force engineers walking in and around the

0:36:34.320 --> 0:36:37.520
<v Speaker 10>stadium throughout the day, testing to make sure the network

0:36:37.560 --> 0:36:41.360
<v Speaker 10>we designed was performing exactly as we expected. So, Frankly,

0:36:41.440 --> 0:36:42.960
<v Speaker 10>my job is to get out of the way and

0:36:43.040 --> 0:36:45.480
<v Speaker 10>let them do what they do. They are experts at it,

0:36:46.239 --> 0:36:49.400
<v Speaker 10>at what they do. They're the unsung heroes, Frankly of

0:36:49.480 --> 0:36:53.560
<v Speaker 10>the network. The technology is tremendous, but it's that team

0:36:53.600 --> 0:36:55.800
<v Speaker 10>of engineers that really bring it to life.

0:36:56.840 --> 0:36:59.319
<v Speaker 4>Let's look at this from the network's perspective. You know,

0:36:59.360 --> 0:37:02.040
<v Speaker 4>beyond Age tried to break the Internet or the five

0:37:02.080 --> 0:37:04.480
<v Speaker 4>G network, has Cary pointed out. But what kind of

0:37:04.520 --> 0:37:08.719
<v Speaker 4>workload and duress does the network go under relative to

0:37:08.760 --> 0:37:11.080
<v Speaker 4>any normal day? What is it you had to brace for?

0:37:12.040 --> 0:37:15.680
<v Speaker 10>Yeah, you know, customers are telling us they more and

0:37:15.760 --> 0:37:19.279
<v Speaker 10>more need to be connected all the time, and especially

0:37:19.320 --> 0:37:23.120
<v Speaker 10>at an event like the Super Bowl yesterday, that need

0:37:23.200 --> 0:37:27.640
<v Speaker 10>for hyperconnectivity to share their experience. We pushed more than

0:37:27.840 --> 0:37:31.240
<v Speaker 10>fifty two terabytes of data in and around the stadium

0:37:31.239 --> 0:37:33.399
<v Speaker 10>on game day yesterday. That's up nine and a half

0:37:33.480 --> 0:37:36.640
<v Speaker 10>percent year over year. As we deploy the capacity with

0:37:36.680 --> 0:37:39.960
<v Speaker 10>our midband spectrum and our high band spectrum, consumers are

0:37:40.040 --> 0:37:43.600
<v Speaker 10>using more and more of it, so frankly, they're telling

0:37:43.640 --> 0:37:45.480
<v Speaker 10>us exactly what they want to do. Gone are the

0:37:45.560 --> 0:37:48.320
<v Speaker 10>days where a simple text message is good enough. People

0:37:48.360 --> 0:37:51.279
<v Speaker 10>want to FaceTime during ushers halftime show and be able

0:37:51.320 --> 0:37:53.600
<v Speaker 10>to share that with friends and family. They want to

0:37:53.680 --> 0:37:56.560
<v Speaker 10>live stream, they want to however, they want to connect

0:37:56.800 --> 0:37:59.760
<v Speaker 10>with friends, family, and social We are there to support

0:37:59.800 --> 0:38:00.440
<v Speaker 10>them to do that.

0:38:01.000 --> 0:38:03.040
<v Speaker 3>We thank you for taking us behind the scenes on

0:38:03.080 --> 0:38:05.600
<v Speaker 3>what was a herculean and effort. I'm sure Verizon Senior

0:38:05.680 --> 0:38:09.040
<v Speaker 3>Vice president and Chief Network Officer Lincox. Great to catch

0:38:09.080 --> 0:38:12.040
<v Speaker 3>up with you the day after the big Game. And

0:38:12.120 --> 0:38:14.279
<v Speaker 3>boy was it a big game. I mean, I wish

0:38:14.280 --> 0:38:17.279
<v Speaker 3>I could just dwell more on usher and back in

0:38:17.520 --> 0:38:20.160
<v Speaker 3>history and well people taking to rollerskates. But that does

0:38:20.160 --> 0:38:21.719
<v Speaker 3>it for this edition of Bloebo Technology.

0:38:22.239 --> 0:38:24.319
<v Speaker 4>A little bit more somber out here on the West Coast,

0:38:24.320 --> 0:38:26.960
<v Speaker 4>particularly in San Francisco and the Bay Area, but recap

0:38:27.040 --> 0:38:30.320
<v Speaker 4>great conversations about Super Bowl fifty eight on the podcast

0:38:30.400 --> 0:38:33.239
<v Speaker 4>Apple Spotify, iHeart, and we're posting as well to all

0:38:33.239 --> 0:38:36.320
<v Speaker 4>of the bloombog platforms from San Francisco and New York City.

0:38:36.840 --> 0:38:38.920
<v Speaker 4>This is bloombog technology.