WEBVTT - Lyft's First Investor Day and GameStop's Slump

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<v Speaker 1>From Mark hard where Innovation, Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed Ludlove.

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<v Speaker 2>I'm Karine Heinelblumog's world headquarters in New York, and I'm.

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<v Speaker 3>Ed Ludlow in San Francisco. This is Bloomberg Technology.

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<v Speaker 2>Coming up, we sit down with the CEO of lyft

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<v Speaker 2>as after the company holds its first ever invest Today.

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<v Speaker 3>Plus we'll take a look at GameStop as Roaring Kitty

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<v Speaker 3>goes live with an announcement in just under an hour,

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<v Speaker 3>and we.

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<v Speaker 2>Push your head to Apple's Developers conference with a focus

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<v Speaker 2>on artificial intelligence. For first, let's just check on all

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<v Speaker 2>these markets today, ed is a macro day, is a

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<v Speaker 2>non farm payrolls day, is a hot labor market day,

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<v Speaker 2>and yet actually some resilience in the benchmarks. When it

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<v Speaker 2>comes to equities, we're off by just twelve points, even

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<v Speaker 2>though we see roaring through Channa and seventy two thousand

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<v Speaker 2>jobs AD and we're going to be digging into it

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<v Speaker 2>in a moment. But the tenure yield the bond market

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<v Speaker 2>is what feels the pain. Basically, this labor market's too good.

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<v Speaker 2>The Fed can't cut is what the marketstell to anticipate,

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<v Speaker 2>and we're up some thirteen basis points on the tenure yields.

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<v Speaker 2>We're seeing the dollar index also higher. However, it's notable

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<v Speaker 2>that even though the dollar is higher, Bitcoin is literally

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<v Speaker 2>still showing some risk on attitude.

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<v Speaker 4>Let's move on to see what bitcoin's been doing over

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<v Speaker 4>the course of year to date.

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<v Speaker 2>We are back near those record highs. We're still up

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<v Speaker 2>sixty seven percent year to date. We're seventy one thousand,

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<v Speaker 2>three hundred. That's just shy of the seventy three thousand

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<v Speaker 2>record that we've seen previously. Eighteen straight days of infros

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<v Speaker 2>of increases in bitcoin, and we're seeing that money moving

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<v Speaker 2>into the bitcoin ETF, the spot ETF, so ed so

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<v Speaker 2>watching crypto.

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<v Speaker 4>But what are you watching on the micro game stop?

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<v Speaker 3>I want this to be, at its heart, a beautiful

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<v Speaker 3>story about a company that sells video games, but it's not.

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<v Speaker 3>I mean, the stock's down twenty five percent in the session.

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<v Speaker 3>They unexpectedly announced earnings and said that they would sell

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<v Speaker 3>an additional seventy five million dollar shares. It's been a

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<v Speaker 3>wild ride this week, and it all centers around Roaring

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<v Speaker 3>Kitty aka Keith Gill, who's due to go live and

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<v Speaker 3>speak at midday Eastern time. And I think it's important

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<v Speaker 3>to be honest Caroline and say, haven't got a scooby

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<v Speaker 3>doo what he's going to say or what is going

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<v Speaker 3>to be about. And there's a lot of hypothesis out

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<v Speaker 3>there about his position and what will happen. We will

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<v Speaker 3>try our best throughout the hour to keep you posted.

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<v Speaker 3>There are other things we're watching, individual names, but a

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<v Speaker 3>lot of it's to do with next week. Lift coming

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<v Speaker 3>up very soon, going to speak to the CEO. Investor Day,

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<v Speaker 3>a lot of numbers, but lots of questions about future

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<v Speaker 3>of ride share in a world where robotaxis king in videos,

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<v Speaker 3>down Stock split Monday, lots of excitement from retail investors

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<v Speaker 3>about that Apple WWDC on Monday. Mark German of Bloomberg says,

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<v Speaker 3>we are going to be told something about Apple intelligence

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<v Speaker 3>and then finally Tesla up two tents of a percent.

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<v Speaker 3>You have your investor Day next Thursday. I won't be here.

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<v Speaker 3>I'll be on a beach in the Mediterranean. But it's

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<v Speaker 3>a big one and it's a big vote on compensation

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<v Speaker 3>and the future of that company.

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<v Speaker 2>Ed you better promise me that you're not glued to

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<v Speaker 2>your smartphone at that moment on that beach, and that

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<v Speaker 2>you take it in over a glass of wine. But meanwhile,

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<v Speaker 2>let's break down the numbers of what really is the

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<v Speaker 2>macro story of today.

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<v Speaker 4>It's the job support, of course, dictating trade.

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<v Speaker 2>Sarah franca is with US CEO of the People Management

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<v Speaker 2>Platform Lattice, and Sarah, look, this upended every single Bloomberg

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<v Speaker 2>economist that we surveyed out there, that every one of

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<v Speaker 2>them thought that it would be a cooling effect at

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<v Speaker 2>least or not as hot as two hundred and seventy

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<v Speaker 2>two thousand.

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<v Speaker 5>What do you make of it, Well, Caroline, what I

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<v Speaker 5>see is unpredictability. Like you said, this was not what

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<v Speaker 5>anybody thought was going to happen. Everybody was thinking we

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<v Speaker 5>would have a decrease from April, but we ended up

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<v Speaker 5>blowing out the jobs report. And so what we're seeing

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<v Speaker 5>is uncertainty, and we're seeing jobs in these areas of

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<v Speaker 5>government and healthcare, but it's still uncertain as to what's

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<v Speaker 5>going to happen.

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<v Speaker 3>I'm told that in New York there were audible gasps

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<v Speaker 3>when the number hit.

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<v Speaker 6>Such was the surprise of the world.

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<v Speaker 3>And a lot of our audience will watch and say, well,

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<v Speaker 3>why do we care large it's is of the FED

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<v Speaker 3>right that the idea that the FED won't cut rates

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<v Speaker 3>as quickly as we thought. But we're trying to understand

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<v Speaker 3>the story in the technology sector. This is what the

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<v Speaker 3>kind of breakdown looks like, changes in motion picture through

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<v Speaker 3>web search. This data, which we've dug into for the

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<v Speaker 3>court is really interesting.

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<v Speaker 6>What does it tell you?

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<v Speaker 4>So the data is.

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<v Speaker 5>Very interesting when you look at this, like we saw

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<v Speaker 5>the healthcare and government sectors have hiring. But as a

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<v Speaker 5>tech CEO, my vantage point is slightly different. We're in

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<v Speaker 5>an industry where we're seeing experimentation and change, and this

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<v Speaker 5>is where we don't know what's fully going to happen,

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<v Speaker 5>and we're curious what is the impact of AI going

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<v Speaker 5>to be on jobs and what is the world going

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<v Speaker 5>to be when we see digital and employees come into

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<v Speaker 5>the mix.

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<v Speaker 3>Never before has it been so I don't even know

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<v Speaker 3>what to say in vogue or important or cool to

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<v Speaker 3>be a computer scientist or software engineer. But with that

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<v Speaker 3>comes demand and a lack of supply, probably so big

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<v Speaker 3>pay packages. Are you seeing that in your world?

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<v Speaker 5>We're definitely seeing demand for engineers and AI data scientists.

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<v Speaker 5>But what you're wondering is what does this mean for

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<v Speaker 5>people that use AI? What does it mean to be

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<v Speaker 5>a customer support representative or a sales representative? And there's

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<v Speaker 5>a lot of interesting opportunities out there, but there's a

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<v Speaker 5>lot of questions as well for what this means for

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<v Speaker 5>the future of the workforce, and we need to call

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<v Speaker 5>every company to be transparent and accountable for the decisions

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<v Speaker 5>that they're making when it comes to their hiring practices,

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<v Speaker 5>whether it's for people or with digital employees.

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<v Speaker 2>Sarah, can you answer some of those questions, What are

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<v Speaker 2>you seeing for those that work in customer services? What

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<v Speaker 2>are you seeing for those that are supposedly being augmented

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<v Speaker 2>of potentially being replaced?

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<v Speaker 5>Well, so, the Labor Bureau shows that over time we'll

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<v Speaker 5>see a decline in these positions and we'll have AI

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<v Speaker 5>and digital employees being the new professions. We can see

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<v Speaker 5>a time when we as people will be working together

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<v Speaker 5>with digital employees. And this is a mind bended concept,

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<v Speaker 5>but it is where we're going. And so that's where

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<v Speaker 5>the Job's report is very interesting. Where you see healthcare professionals,

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<v Speaker 5>government professionals as being the main bulk of these job

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<v Speaker 5>increases and then it's little still early days, but for AI,

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<v Speaker 5>it's going to be interesting, and we need to call

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<v Speaker 5>everyone to have transparency and hold AI accountable for when

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<v Speaker 5>they do become employees, because you could be a customer

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<v Speaker 5>service representative and you still need to be held to

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<v Speaker 5>the same level of goals that a person would be.

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<v Speaker 2>Are we still seeing reskilling as a topic and actually

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<v Speaker 2>being followed.

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<v Speaker 1>Through on.

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<v Speaker 5>Reskilling has never been more important right now because you

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<v Speaker 5>need to be able to be able to transition your

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<v Speaker 5>workforce into the jobs of the future.

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<v Speaker 3>Sarah Franklin, LA's CEO, it's fantastic to have you back

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<v Speaker 3>on set in San Francisco. It's amazing to see the

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<v Speaker 3>world change so quickly each quarter. Come back soon. Now

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<v Speaker 3>coming up on the program, we're going to sit down

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<v Speaker 3>with the LIFT CEO, David Risher as the company holds

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<v Speaker 3>its first ever invested day. And I know so many

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<v Speaker 3>of you in our audience had a lot of questions

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<v Speaker 3>for David, will put some of them to him. Next,

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<v Speaker 3>this is Bloomberg Technology.

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<v Speaker 4>Lift.

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<v Speaker 2>It's been holding its first over investor day this week,

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<v Speaker 2>with the company projecting gross bookings to grow about fifteen

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<v Speaker 2>percent and a compound annual rate over the next three years.

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<v Speaker 2>Investors liking that clarity are sticking a little bit more

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<v Speaker 2>of the lift CEO David Rusher, who's here in New

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<v Speaker 2>York City. It was a big event whow lots of

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<v Speaker 2>musical performances, and then the serious matter of numbers of margin.

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<v Speaker 2>What gets you that fifteen percent compound increase? What gets

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<v Speaker 2>you an improvement and margin and profitability too.

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<v Speaker 7>So I don't think you're going to be surprised about this,

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<v Speaker 7>but the answer is customer obsession is what gets us there, right.

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<v Speaker 7>I mean, we're a scale business. We're a scale business.

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<v Speaker 7>We do two million rides a day today. We're going

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<v Speaker 7>to get to twenty five billion dollars in bookings over

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<v Speaker 7>the next couple of years. That just means doing more

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<v Speaker 7>of a customers, like picking them up faster, pricing better,

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<v Speaker 7>and then innovating like with women plus connect and some

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<v Speaker 7>of the other things we've.

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<v Speaker 1>Talked about before.

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<v Speaker 7>It's really the basics, but you do them really well

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<v Speaker 7>over and over again and you can grow an incredibly

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<v Speaker 7>big and profitable business.

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<v Speaker 2>I can see that helping bookings, How does it do

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<v Speaker 2>the profitability? Do you have to start to charge people

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<v Speaker 2>a little bit more to be able to get that margin.

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<v Speaker 8>No.

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<v Speaker 7>No, in fact, that's not at all on the plan. Instead,

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<v Speaker 7>when it's the plan are things like lift Medium. So

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<v Speaker 7>this is such an interesting thing. Think about all the

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<v Speaker 7>different ways brands want to talk to you today. A

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<v Speaker 7>lot of them are online, right, They're through Google, maybe Meta,

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<v Speaker 7>whatever it is. We actually have people in cars going

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<v Speaker 7>to grocery stores. And is that interesting that maybe you

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<v Speaker 7>know Cress versus Colgate. Maybe you don't care too much,

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<v Speaker 7>but maybe there's an advertiser who'd like to talk to you,

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<v Speaker 7>is you're about to walk into Kroger, for example. So

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<v Speaker 7>that's part of the way that we can kind of

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<v Speaker 7>work with margins. We can also work with modes and

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<v Speaker 7>some other things. A lot of good ideas.

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<v Speaker 3>There, David, good morning, is ed. I'd like to look

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<v Speaker 3>past the numbers a little bit. I understand the seven

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<v Speaker 3>hundred and nine million rides you did in twenty twenty three,

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<v Speaker 3>and you make this argument that your target market or

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<v Speaker 3>total addressable market is based on the total miles driven

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<v Speaker 3>in personal cars. But what I don't see is how

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<v Speaker 3>you're going to go after that addressable market. Convincing people

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<v Speaker 3>not to use their own vehicles but take you instead.

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<v Speaker 7>Right, Well, you know I don't have to do a

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<v Speaker 7>lot of that, to be honest, it's one hundred and

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<v Speaker 7>sixty billion trips that.

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<v Speaker 1>People take a year.

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<v Speaker 7>Let's just look at the daily commute. Every single year,

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<v Speaker 7>people commute to and from works work fifty five billion

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<v Speaker 7>times fifty five saw crushing billion times. So you don't

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<v Speaker 7>have to take much of that to make a real

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<v Speaker 7>difference in our seven hundred to eight hundred million rides.

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<v Speaker 1>We've got a new product that we're just in.

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<v Speaker 7>The process of developing, for example, to allow you to

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<v Speaker 7>lock in your price, so every single day, instead of

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<v Speaker 7>a pouase that bounces around, you get a consistent price.

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<v Speaker 1>And that's something we know people stress about.

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<v Speaker 7>Literally, people wake up early in the morning just to

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<v Speaker 7>check a couple of different apps to figure out what

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<v Speaker 7>the least expensive way to get to work in. So

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<v Speaker 7>if we can take that off the table, that might

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<v Speaker 7>increase us by call it a ride a week, But

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<v Speaker 7>we're ride a week times fifty two weeks a year

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<v Speaker 7>times millions of people. It adds up pretty fast.

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<v Speaker 6>David.

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<v Speaker 3>When I said you were coming on the show, the

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<v Speaker 3>majority of questions from the audience were about robotaxi. You

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<v Speaker 3>and I have discussed this in the past, but Lift

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<v Speaker 3>has a complicated history with robotaxi. I think at the

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<v Speaker 3>core of their question is will you survive in a

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<v Speaker 3>world where you know, Zeus has a really big runway,

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<v Speaker 3>Waimo appears to have a really big runway.

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<v Speaker 1>Yeah, yeah, so we will survive.

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<v Speaker 7>Let's just take that off the table right now, because

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<v Speaker 7>I think the way to think about it is this.

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<v Speaker 7>You know, it's one thing to create a robotaxi, and

0:10:55.240 --> 0:10:58.040
<v Speaker 7>both of those companies are doing really incredible work. I'm super,

0:10:58.080 --> 0:11:00.440
<v Speaker 7>super impressed with the technology and how it's come together.

0:11:00.840 --> 0:11:04.160
<v Speaker 7>But it's a very different thing to two million times

0:11:04.200 --> 0:11:07.080
<v Speaker 7>a day, pick people up, drop them off, do it

0:11:07.080 --> 0:11:09.320
<v Speaker 7>in weird weather, do it at airports, and so on

0:11:09.400 --> 0:11:11.080
<v Speaker 7>and so on, and so I think it's a much

0:11:11.120 --> 0:11:14.800
<v Speaker 7>more likely scenario that one displaces the other, that actually

0:11:14.840 --> 0:11:17.040
<v Speaker 7>we work together, right, that we end up welcoming them

0:11:17.120 --> 0:11:19.960
<v Speaker 7>to our network. Because if you're a robotaxi company, and

0:11:20.000 --> 0:11:22.720
<v Speaker 7>I know you've taken for example, the zooks robotaxi, gosh,

0:11:22.720 --> 0:11:25.319
<v Speaker 7>you need a lot of volume to really drive the

0:11:25.400 --> 0:11:28.439
<v Speaker 7>numbers otherwise, you know, I mean, you make ten ten cars,

0:11:28.559 --> 0:11:30.320
<v Speaker 7>you know, ten million dollars a car, it doesn't make

0:11:30.320 --> 0:11:32.199
<v Speaker 7>any sense. So you've got to have someone like us

0:11:32.240 --> 0:11:35.319
<v Speaker 7>as a partner who can really incorporate them into our network.

0:11:35.440 --> 0:11:37.720
<v Speaker 7>And I think that's the most likely scenario that you know,

0:11:37.720 --> 0:11:38.600
<v Speaker 7>a bunch of different companies.

0:11:38.640 --> 0:11:40.760
<v Speaker 2>I think they're going to work on no soul crushing

0:11:40.760 --> 0:11:44.520
<v Speaker 2>commute for Ed when he's in that zoos heading around that, David,

0:11:44.840 --> 0:11:47.880
<v Speaker 2>I'm interested in you can work together with robotaxis, but

0:11:47.920 --> 0:11:49.760
<v Speaker 2>you're not going to work together with Uber, And I'm

0:11:49.800 --> 0:11:53.640
<v Speaker 2>interested as to ultimately they're really focusing on this advertising

0:11:53.679 --> 0:11:54.240
<v Speaker 2>focus too.

0:11:54.600 --> 0:11:56.160
<v Speaker 4>Is there room enough of both of you? How are

0:11:56.160 --> 0:11:57.400
<v Speaker 4>you going to compete for that?

0:11:57.800 --> 0:11:59.000
<v Speaker 1>I don't think we have to compete for them.

0:11:59.160 --> 0:12:01.000
<v Speaker 7>Don't because I think, you know, one of the things

0:12:01.040 --> 0:12:03.560
<v Speaker 7>I learned from Jeff Besis is work on things that

0:12:03.600 --> 0:12:05.640
<v Speaker 7>are durable. If you're going to build a big business,

0:12:05.640 --> 0:12:08.240
<v Speaker 7>work on something that's durable. Okay, I can predict in

0:12:08.520 --> 0:12:10.800
<v Speaker 7>five years, ten years, one hundred years, there are going

0:12:10.840 --> 0:12:14.800
<v Speaker 7>to be companies like the ones we work with today, Chase, NBC, Universal,

0:12:15.360 --> 0:12:19.400
<v Speaker 7>Delta with their Skymiles program, Kroger ihop. These are five

0:12:19.400 --> 0:12:21.760
<v Speaker 7>companies that we're working with today. Every single one of

0:12:21.800 --> 0:12:25.040
<v Speaker 7>those companies or their siblings or their brethren are going

0:12:25.080 --> 0:12:26.920
<v Speaker 7>to want to talk to customers in new ways. And

0:12:26.920 --> 0:12:29.480
<v Speaker 7>we've got two million rides every single day. So no,

0:12:29.640 --> 0:12:31.080
<v Speaker 7>I don't think that this is one of those zero

0:12:31.120 --> 0:12:32.959
<v Speaker 7>sum things. I think actually this is a whole new

0:12:33.000 --> 0:12:36.000
<v Speaker 7>category of mobile advertising. I think we're going to get

0:12:36.000 --> 0:12:37.240
<v Speaker 7>their first. I think we're going to do it better.

0:12:37.240 --> 0:12:38.920
<v Speaker 7>But if other people want to follow us, and more

0:12:38.960 --> 0:12:39.560
<v Speaker 7>power to them.

0:12:39.800 --> 0:12:41.880
<v Speaker 4>Of course works Famazon, who work for Microsoft. Do you

0:12:41.960 --> 0:12:43.120
<v Speaker 4>learn a lot from those businesses?

0:12:43.120 --> 0:12:46.319
<v Speaker 2>And both of those are plowing forward and artificial intelligence.

0:12:45.880 --> 0:12:47.720
<v Speaker 4>I'm sure you are too.

0:12:47.880 --> 0:12:50.360
<v Speaker 2>How much can you use my data as a lift

0:12:50.480 --> 0:12:53.319
<v Speaker 2>user to dictate what ads I'm seeing make more specific

0:12:53.400 --> 0:12:55.000
<v Speaker 2>for me without waiting me out?

0:12:55.360 --> 0:12:56.160
<v Speaker 6>So great question.

0:12:56.200 --> 0:12:57.640
<v Speaker 7>I mean I would actually turn it around a little

0:12:57.679 --> 0:12:59.600
<v Speaker 7>bit and say, of course, artificial intelligence is going to

0:12:59.640 --> 0:13:02.079
<v Speaker 7>revel it revolutionize a lot of different businesses.

0:13:02.320 --> 0:13:04.000
<v Speaker 1>I would start actually with our drivers.

0:13:04.080 --> 0:13:06.200
<v Speaker 7>Look at all the different ways drivers interact with our

0:13:06.200 --> 0:13:08.200
<v Speaker 7>platform right now. By the way, forty one percent of

0:13:08.240 --> 0:13:10.640
<v Speaker 7>our drivers don't speak English as their first language at home,

0:13:10.880 --> 0:13:13.160
<v Speaker 7>So imagine a world where artificial intelligence can help with

0:13:13.200 --> 0:13:14.320
<v Speaker 7>simultaneous translation.

0:13:14.840 --> 0:13:16.800
<v Speaker 1>Every single one of our drivers wants to earn more

0:13:16.960 --> 0:13:18.679
<v Speaker 1>our platform imaginar.

0:13:18.320 --> 0:13:21.200
<v Speaker 7>World where drivers can use an intelligent assistant to help

0:13:21.240 --> 0:13:22.920
<v Speaker 7>them figure out how to spend their time so they

0:13:22.960 --> 0:13:24.840
<v Speaker 7>can earn even more on the platform. And then you

0:13:24.880 --> 0:13:26.920
<v Speaker 7>get to the targeting side, and our goal is going

0:13:26.960 --> 0:13:29.320
<v Speaker 7>to be to make the targeting so seamless. You think

0:13:29.360 --> 0:13:30.800
<v Speaker 7>of it as a benefit. You're like, oh wow, this

0:13:30.840 --> 0:13:33.400
<v Speaker 7>is fantastic. I'm literally getting a coupon off of my

0:13:33.440 --> 0:13:34.600
<v Speaker 7>favor what's your favorite toothpaste?

0:13:34.640 --> 0:13:37.480
<v Speaker 2>Out of curiosity, I'm using some weird one made in

0:13:37.480 --> 0:13:38.880
<v Speaker 2>India that doesn't have fluoride in it.

0:13:38.920 --> 0:13:40.760
<v Speaker 4>I like going into that big rabbit hole on.

0:13:40.800 --> 0:13:42.840
<v Speaker 7>You're one of those people, Okay, fair enough, Well you

0:13:42.840 --> 0:13:45.000
<v Speaker 7>know what, I use a product called David Toothpaste.

0:13:45.040 --> 0:13:46.120
<v Speaker 1>I don't know if they're on the line now.

0:13:46.360 --> 0:13:50.360
<v Speaker 7>Sorry, it's not personalized, it's just pure coincidence. But they're

0:13:50.400 --> 0:13:53.240
<v Speaker 7>also I think they have a different formulation than Florid.

0:13:53.240 --> 0:13:54.640
<v Speaker 7>I don't know, not so focused on that, but it's

0:13:54.640 --> 0:13:55.360
<v Speaker 7>a very nice tube.

0:13:55.360 --> 0:13:55.920
<v Speaker 1>I can tell you that.

0:13:55.960 --> 0:13:58.520
<v Speaker 7>So imagine I'm going to CBS and I get you

0:13:58.679 --> 0:14:03.000
<v Speaker 7>five dollars off my David's Tuesdays instead of the big, long, ridiculous.

0:14:02.520 --> 0:14:03.920
<v Speaker 1>Thing that you get after you check out there. I

0:14:03.920 --> 0:14:04.920
<v Speaker 1>think it's a better experience.

0:14:05.800 --> 0:14:07.920
<v Speaker 3>David on the AI note, I got a very specific

0:14:08.000 --> 0:14:10.880
<v Speaker 3>question from an audience member on X how is lift

0:14:10.960 --> 0:14:14.079
<v Speaker 3>leveraging AI? Is it truly a buzzword for them or

0:14:14.080 --> 0:14:17.240
<v Speaker 3>are they really making use of it in a meaningful way?

0:14:17.280 --> 0:14:19.880
<v Speaker 3>And you gave the example or a couple of examples

0:14:19.880 --> 0:14:23.320
<v Speaker 3>there from the driver's perspective, what about the rider's perspective?

0:14:23.360 --> 0:14:24.720
<v Speaker 6>And what about your internal use?

0:14:24.920 --> 0:14:26.160
<v Speaker 1>Sure? So all three? Right?

0:14:26.200 --> 0:14:29.360
<v Speaker 7>So internal is really about productivity and quality?

0:14:29.560 --> 0:14:31.440
<v Speaker 1>Right? We use AI to check our code.

0:14:31.520 --> 0:14:33.800
<v Speaker 7>We use AI to come up with different ideas, sometimes

0:14:33.840 --> 0:14:36.080
<v Speaker 7>as kind of idea starters. Anyway, a lot of interesting

0:14:36.120 --> 0:14:38.560
<v Speaker 7>things there from drivers. I just mentioned a great way

0:14:38.600 --> 0:14:40.880
<v Speaker 7>I think to sort of maximize earnings as an example,

0:14:41.120 --> 0:14:43.640
<v Speaker 7>and I think for riders imaginal world, here's a scenario

0:14:43.640 --> 0:14:45.280
<v Speaker 7>that I bet has never happened to anyone listening.

0:14:45.360 --> 0:14:49.040
<v Speaker 1>You ever leave your iPhone in the car? And how

0:14:49.480 --> 0:14:50.440
<v Speaker 1>fun is that experience?

0:14:50.640 --> 0:14:52.200
<v Speaker 7>You know, two minutes later when you realize you don't

0:14:52.200 --> 0:14:53.960
<v Speaker 7>have it? Well, you know, AI is pretty good at

0:14:54.000 --> 0:14:57.040
<v Speaker 7>detecting patterns and understanding the gosh the car is moving

0:14:57.080 --> 0:14:57.440
<v Speaker 7>one way.

0:14:57.600 --> 0:14:59.320
<v Speaker 1>You know, you've just gotten out of the car. What's

0:14:59.360 --> 0:15:01.080
<v Speaker 1>going on here? Maybe it can we with the driver

0:15:01.160 --> 0:15:03.920
<v Speaker 1>back to drop the phone off for you. So I think, look,

0:15:03.960 --> 0:15:04.960
<v Speaker 1>you can overhepe AI.

0:15:05.120 --> 0:15:06.880
<v Speaker 7>You know, maybe it's not going to cure cancer tomorrow,

0:15:06.960 --> 0:15:08.960
<v Speaker 7>probably doesn't, to be honest, but I do think that

0:15:09.080 --> 0:15:11.720
<v Speaker 7>every single day. If we're customer obsessed and that's going

0:15:11.760 --> 0:15:14.200
<v Speaker 7>to be our focus, customer obsessed AI.

0:15:13.920 --> 0:15:15.800
<v Speaker 1>We can use it in really innovative ways.

0:15:16.480 --> 0:15:18.920
<v Speaker 3>Let's CIA, David Richard, thank you so much. We appreciate

0:15:18.920 --> 0:15:20.400
<v Speaker 3>you coming into our world headquarters.

0:15:20.440 --> 0:15:21.440
<v Speaker 1>I was a pleasure in New York.

0:15:29.120 --> 0:15:31.720
<v Speaker 3>Okay, time for talking tech and first start soft bank

0:15:31.800 --> 0:15:34.520
<v Speaker 3>back travel app yan Algia is said to be planning

0:15:34.560 --> 0:15:38.000
<v Speaker 3>a four hundred million dollar IPO in the United States.

0:15:38.040 --> 0:15:40.920
<v Speaker 3>Sources say the South Korean startup is eyeing a launch

0:15:41.000 --> 0:15:44.160
<v Speaker 3>in July with the valuation of between seven and nine

0:15:44.280 --> 0:15:47.160
<v Speaker 3>billion dollars. The final decision has not been made in

0:15:47.240 --> 0:15:50.520
<v Speaker 3>details of the offering could still change. Plus AI startups

0:15:50.520 --> 0:15:53.200
<v Speaker 3>in Silicon Valley is stepping up efforts to stop a

0:15:53.240 --> 0:15:57.120
<v Speaker 3>California bill that would place public safety Guard rails on AI,

0:15:57.520 --> 0:16:01.920
<v Speaker 3>saying it would curtail innovation aims to mitigate catastrophic risks

0:16:01.960 --> 0:16:04.120
<v Speaker 3>posed by fut UI models, such.

0:16:03.920 --> 0:16:05.080
<v Speaker 6>As weapons development.

0:16:05.320 --> 0:16:08.160
<v Speaker 3>The measure awaits action from the State Assembly, which has

0:16:08.360 --> 0:16:11.680
<v Speaker 3>until August thirty one to pass the measure. And UK

0:16:11.800 --> 0:16:15.560
<v Speaker 3>tech tycoon Mike Lynch has been found not guilty of

0:16:15.600 --> 0:16:19.800
<v Speaker 3>criminal charges. Lynch was accused of using accounting tricks to

0:16:19.960 --> 0:16:24.040
<v Speaker 3>dupe Hewlett Packard into buying his software startup Autonomy for

0:16:24.080 --> 0:16:27.600
<v Speaker 3>eleven billion dollars in twenty eleven. The outcome marks a

0:16:27.640 --> 0:16:30.800
<v Speaker 3>redemption for Lynch, who for years argued that he was

0:16:30.920 --> 0:16:33.000
<v Speaker 3>used as a scapegoat for the deal.

0:16:33.000 --> 0:16:37.360
<v Speaker 2>Caroline extraordinary, particularly anyone who's reported on the UK tech scenes,

0:16:37.400 --> 0:16:39.640
<v Speaker 2>such as both of us have. Let's talk to Rachel

0:16:39.640 --> 0:16:42.160
<v Speaker 2>Graff about this, because Rachel, he is a man who

0:16:42.200 --> 0:16:44.640
<v Speaker 2>advised several prime ministers in the UK, was a pin

0:16:44.760 --> 0:16:47.600
<v Speaker 2>up for what entrepreneurship could be and then.

0:16:47.520 --> 0:16:50.200
<v Speaker 4>He completely fell from grace. Is this the redemption?

0:16:52.160 --> 0:16:52.800
<v Speaker 6>I think it is.

0:16:53.880 --> 0:16:58.200
<v Speaker 9>He was found guilty and silbil Kius in the UK

0:16:59.400 --> 0:17:03.120
<v Speaker 9>he's ill facing potential monetary fines or monetary fines for that,

0:17:04.040 --> 0:17:06.760
<v Speaker 9>so he's not completely off the hook. But it's a

0:17:06.760 --> 0:17:09.560
<v Speaker 9>stunning victory for him in the US.

0:17:10.119 --> 0:17:12.879
<v Speaker 3>What did the judge say, What was the legal reasoning

0:17:13.600 --> 0:17:15.760
<v Speaker 3>that came to the conclusion of not guilty.

0:17:16.200 --> 0:17:16.640
<v Speaker 6>So it was.

0:17:16.560 --> 0:17:20.600
<v Speaker 9>Actually a jury here in San Francisco, and after the verdict,

0:17:20.800 --> 0:17:25.399
<v Speaker 9>the jury said they didn't find a whistleblower at Autonomy

0:17:25.400 --> 0:17:28.639
<v Speaker 9>who says that he alerted Lynch to the fraud and

0:17:28.720 --> 0:17:31.040
<v Speaker 9>was then fired in retaliation. They didn't find him to

0:17:31.040 --> 0:17:34.560
<v Speaker 9>be particularly credible and they didn't think that the government

0:17:34.600 --> 0:17:38.120
<v Speaker 9>proved beyond a reasonable doubt that Lynch was directly involved

0:17:38.160 --> 0:17:38.800
<v Speaker 9>in any fraud.

0:17:38.920 --> 0:17:41.240
<v Speaker 3>When I was reading your reporting, you know, Lynch in

0:17:41.280 --> 0:17:43.439
<v Speaker 3>his legal reputation team said, well, the first thing I'm

0:17:43.480 --> 0:17:44.080
<v Speaker 3>going to do is go.

0:17:44.040 --> 0:17:44.720
<v Speaker 6>Back to the UK.

0:17:45.960 --> 0:17:50.000
<v Speaker 3>Do we see the prosecution try and do anything as

0:17:50.040 --> 0:17:50.960
<v Speaker 3>a next step or.

0:17:51.880 --> 0:17:55.400
<v Speaker 9>The judge yesterday after the verdict held another hearing saying

0:17:55.440 --> 0:17:57.840
<v Speaker 9>that Lynch is he's free to go home. Basically, he

0:17:58.240 --> 0:18:01.399
<v Speaker 9>was under house arrest and four hour supervision here in

0:18:01.400 --> 0:18:05.040
<v Speaker 9>San Francisco during the trial. The judge lifted those restrictions

0:18:05.080 --> 0:18:06.639
<v Speaker 9>and so he's he's free to go.

0:18:07.720 --> 0:18:10.920
<v Speaker 2>So too was the VP for Finance as well, who's

0:18:10.960 --> 0:18:13.600
<v Speaker 2>also cleared who said basically he had been robbed of

0:18:13.640 --> 0:18:16.280
<v Speaker 2>ten years of his life. Audible gas crying in the

0:18:17.040 --> 0:18:20.160
<v Speaker 2>when the judgment was read out. Rachel, Ultimately, what does

0:18:20.200 --> 0:18:23.720
<v Speaker 2>this mean for HP as well? When they is the

0:18:23.960 --> 0:18:26.159
<v Speaker 2>basically put on them as to what happened with the

0:18:26.200 --> 0:18:28.800
<v Speaker 2>unraveling Autonomy's market capitalization.

0:18:30.040 --> 0:18:33.159
<v Speaker 9>Yeah, so HP was not a defendant in this case.

0:18:33.320 --> 0:18:36.440
<v Speaker 9>But one of Lynch's arguments all along has been that

0:18:37.040 --> 0:18:38.920
<v Speaker 9>HP made a bad deal and they've been trying to

0:18:39.400 --> 0:18:41.399
<v Speaker 9>escape got him. I mean, it was an eleven billion

0:18:41.440 --> 0:18:44.000
<v Speaker 9>dollar deal, they wrote it. They had an eight point

0:18:44.000 --> 0:18:47.719
<v Speaker 9>eight billion dollar right down the year later, and you know,

0:18:47.800 --> 0:18:49.120
<v Speaker 9>he says, that's that's on them.

0:18:49.160 --> 0:18:49.359
<v Speaker 6>It was.

0:18:49.400 --> 0:18:51.200
<v Speaker 9>It was a bad deal. It's it's not his fault,

0:18:51.320 --> 0:18:51.680
<v Speaker 9>and so.

0:18:52.400 --> 0:18:55.679
<v Speaker 3>It's not good for HP doing that is Rachel Graft,

0:18:55.800 --> 0:18:57.240
<v Speaker 3>great job, terrific reporting.

0:18:57.280 --> 0:18:58.040
<v Speaker 6>Thank you very much.

0:18:58.240 --> 0:19:01.080
<v Speaker 3>Let's get to another important piece of blimb reporting and

0:19:01.119 --> 0:19:04.400
<v Speaker 3>Bloomberg's Brody Ford. And this is a really interesting one, mate,

0:19:04.440 --> 0:19:07.760
<v Speaker 3>because you have lifted on the lead on a company

0:19:07.800 --> 0:19:12.840
<v Speaker 3>I find quite mysterious, Oracle and their contract with the

0:19:12.920 --> 0:19:15.960
<v Speaker 3>US Department of Veteran Affairs. Just explain the basics of

0:19:16.000 --> 0:19:16.640
<v Speaker 3>your reporting.

0:19:17.160 --> 0:19:21.840
<v Speaker 10>This is one of the biggest federal IT tech contracts ever,

0:19:22.320 --> 0:19:26.600
<v Speaker 10>sixteen billion dollars to modernize the veteran affairs you know,

0:19:26.800 --> 0:19:32.119
<v Speaker 10>back end medical records system. Huge undertaking, lots of money involved.

0:19:32.840 --> 0:19:36.080
<v Speaker 10>Was given to a company called Cerner, now acquired by Oracle,

0:19:36.600 --> 0:19:39.480
<v Speaker 10>and this contract has had a lot of controversies and

0:19:39.560 --> 0:19:42.280
<v Speaker 10>they've had a lot of difficulties implementing it. They've had

0:19:42.320 --> 0:19:48.040
<v Speaker 10>some highly publicized patient deaths outages. An Oracle has said that, hey, look,

0:19:48.359 --> 0:19:51.120
<v Speaker 10>you're renegotiating it, but we can handle it fine. We're

0:19:51.160 --> 0:19:54.560
<v Speaker 10>improving things, Things are going well. What we found in

0:19:54.600 --> 0:19:58.199
<v Speaker 10>these documents is that satisfaction rates among users of this

0:19:58.320 --> 0:20:01.679
<v Speaker 10>new system are lower than any other system they have

0:20:01.760 --> 0:20:04.840
<v Speaker 10>data on. I think it's like nineteen percent of doctors

0:20:04.840 --> 0:20:07.160
<v Speaker 10>and nurses are happy with the system say it can

0:20:07.160 --> 0:20:10.679
<v Speaker 10>provide high quality care. And so these numbers reveal to

0:20:10.800 --> 0:20:13.520
<v Speaker 10>us that again, one of the largest tech contracts in

0:20:13.560 --> 0:20:16.520
<v Speaker 10>government history is really going much worse.

0:20:16.359 --> 0:20:17.240
<v Speaker 1>Than we realized.

0:20:18.160 --> 0:20:21.040
<v Speaker 2>You've actually been relentless on this reporting, Brodie, in terms

0:20:21.080 --> 0:20:23.960
<v Speaker 2>of highlighting that this Cerner part of the business is

0:20:24.119 --> 0:20:26.000
<v Speaker 2>just not going as well as many would have anticipated.

0:20:26.000 --> 0:20:28.080
<v Speaker 2>They're losing market share as one of the reports, and

0:20:28.200 --> 0:20:30.720
<v Speaker 2>ultimately the way in which they sort of adopted the business.

0:20:30.920 --> 0:20:32.720
<v Speaker 4>Last thing we knew Larry Ellison.

0:20:32.440 --> 0:20:34.120
<v Speaker 2>Is going to be moving to Nashville because it's coming

0:20:34.160 --> 0:20:36.840
<v Speaker 2>much more of a healthcare company. But this doesn't seem

0:20:36.880 --> 0:20:37.840
<v Speaker 2>to be align with that.

0:20:38.119 --> 0:20:40.840
<v Speaker 10>It's a long history of tech companies thinking they can

0:20:40.840 --> 0:20:43.919
<v Speaker 10>break into the health market. Right when Oracle bought Serner,

0:20:43.960 --> 0:20:46.720
<v Speaker 10>they said that we're going to be able to expand

0:20:46.720 --> 0:20:50.080
<v Speaker 10>our earnings massively. Reporting we have shows that a couple

0:20:50.119 --> 0:20:52.680
<v Speaker 10>of years out the revenue is down in large part

0:20:52.760 --> 0:20:55.240
<v Speaker 10>because of this VA contract that's been on pause. So yeah,

0:20:55.240 --> 0:20:57.800
<v Speaker 10>I mean this is a classic tale. Amazon's been there,

0:20:57.800 --> 0:21:00.840
<v Speaker 10>Google's been there, Apple's been there. Where healthcare is a

0:21:00.880 --> 0:21:03.600
<v Speaker 10>hard nut to crack, and folks continue to learn that.

0:21:04.320 --> 0:21:07.720
<v Speaker 2>Does Larry refocus therefore on the gift that keeps on giving,

0:21:07.800 --> 0:21:12.040
<v Speaker 2>which is artificial intelligence, and repivot away from all things

0:21:12.040 --> 0:21:12.720
<v Speaker 2>digital health?

0:21:12.960 --> 0:21:15.000
<v Speaker 10>Well, one thing is that when it comes with this

0:21:15.080 --> 0:21:18.399
<v Speaker 10>digital health system, a lot of data and so a

0:21:18.400 --> 0:21:20.960
<v Speaker 10>lot of people figure that all of the patient data

0:21:21.040 --> 0:21:23.960
<v Speaker 10>in here, this could make a really good AI system.

0:21:23.960 --> 0:21:26.400
<v Speaker 10>At one point, we don't have it yet, but five

0:21:26.480 --> 0:21:28.639
<v Speaker 10>years from now. I mean their long term vision for

0:21:28.760 --> 0:21:32.440
<v Speaker 10>modernizing CIRT is genuinely compelling, and obviously we know that

0:21:32.520 --> 0:21:34.639
<v Speaker 10>the health system is not doing well. I mean, we

0:21:34.680 --> 0:21:37.480
<v Speaker 10>could certainly use a better solution. So I think, as

0:21:37.520 --> 0:21:39.720
<v Speaker 10>you say, with all the data, the long term vision

0:21:39.800 --> 0:21:43.720
<v Speaker 10>is compelling. The near term difficulties have been much more

0:21:43.880 --> 0:21:45.320
<v Speaker 10>than it seems they anticipated.

0:21:45.840 --> 0:21:48.760
<v Speaker 2>Pretty great reporting. Thank you always on Oraticle, Thanks coming

0:21:48.760 --> 0:21:49.600
<v Speaker 2>in and talking us through it.

0:21:49.640 --> 0:21:50.159
<v Speaker 4>Ready for that.

0:21:58.520 --> 0:22:01.400
<v Speaker 6>Welcome back exploding the technology Ed Lard though in San.

0:22:01.200 --> 0:22:05.000
<v Speaker 2>Francisco, Karen had in New York digesting a very strong

0:22:05.080 --> 0:22:07.120
<v Speaker 2>jobs report. Let's get to the markets quickly, because there's

0:22:07.160 --> 0:22:09.200
<v Speaker 2>a macro kind of a day when you have turing

0:22:09.160 --> 0:22:11.400
<v Speaker 2>and seventy two thousand jobs added, much higher than any

0:22:11.400 --> 0:22:14.040
<v Speaker 2>of the economists we surveyed thought, and we're currently seeing therefore,

0:22:14.080 --> 0:22:16.960
<v Speaker 2>actually in Nasdak being pretty resilient in the face of

0:22:16.960 --> 0:22:19.200
<v Speaker 2>a very hot economy that maybe the FED can't cut into,

0:22:19.200 --> 0:22:20.800
<v Speaker 2>but the bond market less so look ed. We're seeing

0:22:20.800 --> 0:22:23.399
<v Speaker 2>about twelve thirteen basis points add across the curve. I

0:22:23.440 --> 0:22:25.080
<v Speaker 2>shine a light on the two year but similar moves

0:22:25.080 --> 0:22:27.080
<v Speaker 2>to the tenure as well as we anticipate maybe the

0:22:27.119 --> 0:22:29.480
<v Speaker 2>FED can't cut in the way that the market had anticipated.

0:22:29.560 --> 0:22:32.000
<v Speaker 2>I'm looking at Bitcoin also shaking off some of this

0:22:32.119 --> 0:22:34.879
<v Speaker 2>worry that good news is bad news, because we are

0:22:34.960 --> 0:22:38.280
<v Speaker 2>risk one once again, eighteen straight days of gains for bitcoin,

0:22:39.359 --> 0:22:41.400
<v Speaker 2>phenomenal run street that we've seen. At the moment, we're

0:22:41.440 --> 0:22:43.600
<v Speaker 2>up another five ten percent, near that all time high.

0:22:43.840 --> 0:22:46.080
<v Speaker 2>Move on and see what's happening on individual names. Look,

0:22:46.119 --> 0:22:47.440
<v Speaker 2>it's a job's day to kind of day. I want

0:22:47.440 --> 0:22:49.840
<v Speaker 2>to shine a light on ADP because actually this particular

0:22:49.920 --> 0:22:53.200
<v Speaker 2>data provider HR Services, it's the best performer on the

0:22:53.280 --> 0:22:54.760
<v Speaker 2>na's that one hundred to day. We're up more than

0:22:54.800 --> 0:22:56.960
<v Speaker 2>one point six percent, which shows that actually nothing's moving

0:22:56.960 --> 0:22:59.960
<v Speaker 2>that much. However, they are showing from Bloomberg intelligence and

0:23:00.000 --> 0:23:02.440
<v Speaker 2>analysis that they're going to be really resilient within their

0:23:02.480 --> 0:23:05.520
<v Speaker 2>market share area of HR opportunities. I'm looking at what's

0:23:05.520 --> 0:23:08.320
<v Speaker 2>happening with Nvidia after the bell today. That is, when

0:23:08.359 --> 0:23:10.960
<v Speaker 2>you suddenly see your one share divide it into ten.

0:23:11.200 --> 0:23:13.480
<v Speaker 2>We've still got the same overall value of the company,

0:23:13.600 --> 0:23:15.520
<v Speaker 2>and maybe retail investors get back into the name. But

0:23:15.600 --> 0:23:17.280
<v Speaker 2>we have had such run in this. Of course, we

0:23:17.359 --> 0:23:20.080
<v Speaker 2>know that it's up near three trillion dollars, maybe just

0:23:20.080 --> 0:23:22.760
<v Speaker 2>taking some profit ahead of that retail event. And I'm

0:23:22.760 --> 0:23:25.320
<v Speaker 2>looking what's happening with a retail frenzy.

0:23:25.000 --> 0:23:25.760
<v Speaker 4>That is game Stop.

0:23:25.880 --> 0:23:27.760
<v Speaker 2>We are down down, down today, look at it down

0:23:27.760 --> 0:23:31.920
<v Speaker 2>by nineteen percent. That on the basis are fundamentals. Let's

0:23:31.960 --> 0:23:34.440
<v Speaker 2>also then dig in a little bit more on the fundamentals,

0:23:34.520 --> 0:23:36.480
<v Speaker 2>the fact that their numbers are not living up to

0:23:36.520 --> 0:23:38.840
<v Speaker 2>those two analysts' expectations.

0:23:39.119 --> 0:23:40.919
<v Speaker 4>But actually there's a lot more than fundamentals on this

0:23:40.960 --> 0:23:43.840
<v Speaker 4>particular company. Ed is it?

0:23:43.920 --> 0:23:45.040
<v Speaker 6>Is it fundamentals?

0:23:45.119 --> 0:23:48.520
<v Speaker 3>Game Stop is a company that sells video game stuff

0:23:48.520 --> 0:23:53.000
<v Speaker 3>and memorabilia in physical stores, and havn't got a clue

0:23:53.760 --> 0:23:56.320
<v Speaker 3>really what's going on. One person who does is Bloomberg's

0:23:56.320 --> 0:24:00.320
<v Speaker 3>Bailey Lipshaltz. The game Stop memes stocks are of the

0:24:00.320 --> 0:24:02.800
<v Speaker 3>Bloomberg newsroom.

0:24:02.200 --> 0:24:03.040
<v Speaker 6>So Carrie's right.

0:24:03.400 --> 0:24:09.159
<v Speaker 3>They surprisingly release earnings, they do an equity offering, and

0:24:09.280 --> 0:24:13.080
<v Speaker 3>Roaring Kitty is going to speak in twenty eight minutes time.

0:24:13.760 --> 0:24:16.040
<v Speaker 6>Explain what's happening, please.

0:24:16.640 --> 0:24:19.080
<v Speaker 11>And so much is going on, so we'll start from

0:24:19.080 --> 0:24:21.600
<v Speaker 11>the top. The stock was up double digits overnight and

0:24:21.640 --> 0:24:25.880
<v Speaker 11>into this morning after rallying about fifty percent. Yesterday, as

0:24:26.080 --> 0:24:29.240
<v Speaker 11>Keith gil Teesday returned to YouTube for the first time

0:24:29.280 --> 0:24:33.280
<v Speaker 11>in three years. We then saw game Stop pull forward earnings.

0:24:33.359 --> 0:24:37.240
<v Speaker 11>It was scheduled for Tuesday, they surprisedly released them this

0:24:37.320 --> 0:24:39.879
<v Speaker 11>morning and then quickly announced that they will launch an

0:24:39.920 --> 0:24:42.720
<v Speaker 11>at the market offering that could sell another seventy five

0:24:42.840 --> 0:24:46.680
<v Speaker 11>million shares, which on current levels for that stock could

0:24:46.760 --> 0:24:49.080
<v Speaker 11>raise close to two point seven billion dollars. Again, they

0:24:49.080 --> 0:24:52.679
<v Speaker 11>did this back in May, raising almost a billion dollars

0:24:52.840 --> 0:24:56.000
<v Speaker 11>after Rowing Kitty made a return to X so all

0:24:56.040 --> 0:24:58.080
<v Speaker 11>eyes and ears will be glued. As you mentioned in

0:24:58.119 --> 0:25:00.720
<v Speaker 11>twenty eight minutes twenty seven minutes on too Roaring Kitties

0:25:00.840 --> 0:25:04.199
<v Speaker 11>YouTube page to a confirm if you'd still him and

0:25:04.240 --> 0:25:06.359
<v Speaker 11>be try to get some sense of what's going on

0:25:06.400 --> 0:25:09.480
<v Speaker 11>with his investment, which he's touted on Reddit and also

0:25:09.520 --> 0:25:13.359
<v Speaker 11>has really posted over the last four weeks pretty NonStop

0:25:13.840 --> 0:25:14.480
<v Speaker 11>on X.

0:25:15.040 --> 0:25:17.239
<v Speaker 2>And that could be worth almost half a billion now

0:25:17.240 --> 0:25:19.360
<v Speaker 2>according to your math when you're looking at the overall

0:25:19.359 --> 0:25:21.879
<v Speaker 2>holdings of shares and options. There's so many directions to

0:25:21.920 --> 0:25:24.240
<v Speaker 2>go here, baby, because we could focus on the fact

0:25:24.280 --> 0:25:27.520
<v Speaker 2>and whether Game Stop itself is exploiting this moment and

0:25:27.560 --> 0:25:30.960
<v Speaker 2>shareholders by diluting them yet further, or whether they're being savvy.

0:25:31.200 --> 0:25:34.320
<v Speaker 2>We could also dissect the fact that here is Keith

0:25:34.400 --> 0:25:38.119
<v Speaker 2>Gill potentially even manipulating the market. That's something that we're

0:25:38.160 --> 0:25:39.280
<v Speaker 2>starting to hear talked about.

0:25:40.119 --> 0:25:40.960
<v Speaker 6>Yeah, that's a concern.

0:25:41.000 --> 0:25:43.320
<v Speaker 11>We've seen the Wall Street Journal reporting that E Trade

0:25:43.359 --> 0:25:46.840
<v Speaker 11>is considering banning him from their platform, which makes me

0:25:46.840 --> 0:25:49.160
<v Speaker 11>feel a little bit better if they're in fact actually

0:25:49.400 --> 0:25:51.560
<v Speaker 11>can confirm that he is taking these stakes and making

0:25:51.560 --> 0:25:54.640
<v Speaker 11>these investments in the company. But Caroline, the main thing

0:25:54.640 --> 0:25:56.720
<v Speaker 11>that stands out when you look at kind of the

0:25:56.760 --> 0:25:59.639
<v Speaker 11>concern around market manipulation. When I talk to securities lawyers

0:26:00.080 --> 0:26:03.000
<v Speaker 11>need to be able to prove an intent to manipulate

0:26:03.000 --> 0:26:05.280
<v Speaker 11>the market and follow through on that. So far, he

0:26:05.359 --> 0:26:07.719
<v Speaker 11>hasn't sold the stuff as far as we know, according

0:26:07.760 --> 0:26:11.280
<v Speaker 11>to those screen rep he hasn't done anything with those options.

0:26:11.440 --> 0:26:14.520
<v Speaker 11>So it's really a weird area that has not really

0:26:14.560 --> 0:26:17.480
<v Speaker 11>been discussed in the past. But one thing that did

0:26:17.520 --> 0:26:19.239
<v Speaker 11>stand out when I was talking to an investor this

0:26:19.280 --> 0:26:21.480
<v Speaker 11>morning is he said back in twenty twenty one, a

0:26:21.480 --> 0:26:23.760
<v Speaker 11>lot of us thought it was funny. No one's laughing

0:26:23.840 --> 0:26:27.360
<v Speaker 11>right now, the SEC seemingly is investigating in y trade obviously,

0:26:27.359 --> 0:26:28.960
<v Speaker 11>and Morgan Stanley are looking into it.

0:26:30.320 --> 0:26:31.720
<v Speaker 6>I actually get all of that.

0:26:32.600 --> 0:26:34.920
<v Speaker 3>I think it's worth a bit of a history lesson here,

0:26:35.160 --> 0:26:38.000
<v Speaker 3>so you know, I joke, but GameStop is a physical

0:26:38.080 --> 0:26:44.399
<v Speaker 3>retailer of video game stuff and associating memorabilia and you know,

0:26:44.480 --> 0:26:48.800
<v Speaker 3>as depicted in the film Done Money. When Roaring Kitty

0:26:48.840 --> 0:26:53.760
<v Speaker 3>aka Keith Gill started all of this. His explanation was,

0:26:53.800 --> 0:26:56.119
<v Speaker 3>as Carol pointed to, like, he was believed in the

0:26:56.119 --> 0:27:00.000
<v Speaker 3>fundamentals of the business. Just just give us that historic context.

0:27:01.080 --> 0:27:04.280
<v Speaker 11>Yeah, if you go back to twenty twenty, at sales

0:27:04.320 --> 0:27:06.760
<v Speaker 11>were slumping, there was a lot of uncertainty around what

0:27:06.920 --> 0:27:10.000
<v Speaker 11>the fundamental argument for game stop in a world where

0:27:10.040 --> 0:27:13.439
<v Speaker 11>people are increasingly downloading video games is and how the

0:27:13.520 --> 0:27:16.240
<v Speaker 11>COVID dynamic would actually shift that because if you play

0:27:16.480 --> 0:27:19.240
<v Speaker 11>a video games on your PlayStation or your Xbox, you

0:27:19.280 --> 0:27:21.520
<v Speaker 11>don't have a need to go into a physical store

0:27:21.560 --> 0:27:24.000
<v Speaker 11>to buy those games anymore. His argument was that the

0:27:24.040 --> 0:27:26.679
<v Speaker 11>stock was so beaten down that there was an opportunity.

0:27:26.720 --> 0:27:29.280
<v Speaker 11>He also was the first to call out the fact

0:27:29.280 --> 0:27:31.880
<v Speaker 11>that about one hundred and forty percent of shares were

0:27:31.920 --> 0:27:35.200
<v Speaker 11>sold short, so a short squeeze had kind of been

0:27:35.280 --> 0:27:38.040
<v Speaker 11>right for the opportunity. He also kind of tailed the

0:27:38.440 --> 0:27:41.280
<v Speaker 11>investment from Ryan Cohen, who's now the CEO, that he

0:27:41.320 --> 0:27:44.040
<v Speaker 11>took in late twenty twenty and then added to in

0:27:44.080 --> 0:27:46.800
<v Speaker 11>twenty twenty one when he ultimately took over the board.

0:27:46.920 --> 0:27:49.479
<v Speaker 11>So when you look at the history of Keith Gill's

0:27:49.480 --> 0:27:52.479
<v Speaker 11>position back to twenty twenty, when people really were ignoring

0:27:52.520 --> 0:27:54.199
<v Speaker 11>him because the stock was going down and he was

0:27:54.240 --> 0:27:57.399
<v Speaker 11>just someone on YouTube talking about investing in the stock,

0:27:57.880 --> 0:28:00.800
<v Speaker 11>some of those aspects did kind of come to fruition.

0:28:00.920 --> 0:28:03.440
<v Speaker 11>The main thing that analysts and investors point to now, though,

0:28:03.720 --> 0:28:05.960
<v Speaker 11>is the stock right now was trading with the north

0:28:05.960 --> 0:28:09.439
<v Speaker 11>of fifteen billion dollar valuation. So the argument that his

0:28:09.560 --> 0:28:13.399
<v Speaker 11>deep value analysis was that played out is kind of

0:28:13.440 --> 0:28:17.760
<v Speaker 11>potentially overdone just given the fact that the fundamentals of GameStop,

0:28:17.800 --> 0:28:20.320
<v Speaker 11>as we saw what the quarterly results are not improving.

0:28:20.480 --> 0:28:23.040
<v Speaker 11>We do not have a real argument for what the

0:28:23.080 --> 0:28:25.359
<v Speaker 11>path forward looks like from Ryan Cohen, And when you

0:28:25.359 --> 0:28:28.320
<v Speaker 11>look at it on a fundamental basis, which analysts prefer

0:28:28.440 --> 0:28:30.800
<v Speaker 11>to do, there's a lot of uncertainty and just how

0:28:30.840 --> 0:28:34.000
<v Speaker 11>you could get to a sixteen billion dollar valuation given

0:28:34.080 --> 0:28:37.159
<v Speaker 11>drying and slowing sales in a market that seemingly is

0:28:37.160 --> 0:28:38.200
<v Speaker 11>continuously squeezing.

0:28:38.240 --> 0:28:44.360
<v Speaker 2>Game stop out a whole two market analysts right this stock,

0:28:44.560 --> 0:28:48.120
<v Speaker 2>I believe, and it's currently trading at a forward pe

0:28:48.320 --> 0:28:52.680
<v Speaker 2>of three thousand, six hundred and ninety five. Go figure,

0:28:53.080 --> 0:28:56.360
<v Speaker 2>Bailey Lipschaltz. No one's laughing this time, especially well, it

0:28:56.360 --> 0:28:57.960
<v Speaker 2>wasn't the hedge funds last time, either.

0:28:57.800 --> 0:28:58.000
<v Speaker 6>Was it.

0:28:58.040 --> 0:28:58.840
<v Speaker 4>We appreciate it.

0:28:58.920 --> 0:29:02.200
<v Speaker 2>Meanwhile, Apple, let's talk about that because they're introducing a

0:29:02.240 --> 0:29:05.440
<v Speaker 2>new homegown app next week called Passwords, because an effort

0:29:05.480 --> 0:29:07.920
<v Speaker 2>to make it easier for customers to log into websites

0:29:07.920 --> 0:29:10.440
<v Speaker 2>and software. That's according to sources. Let's bring in Bluemberg's

0:29:10.440 --> 0:29:12.960
<v Speaker 2>Mark Gumman for more on this. And plenty of people

0:29:13.000 --> 0:29:16.800
<v Speaker 2>out there use last pass one password and it's clunky,

0:29:17.280 --> 0:29:19.000
<v Speaker 2>but it kind of makes us feel satisfied.

0:29:19.040 --> 0:29:21.960
<v Speaker 4>We've got enough protection. What Apple is Apple offering here?

0:29:24.240 --> 0:29:27.160
<v Speaker 8>Yeah, So, as part of the company's next operating system updates,

0:29:27.160 --> 0:29:29.959
<v Speaker 8>they're going to launch a whole load of new features,

0:29:30.000 --> 0:29:34.680
<v Speaker 8>from AI to new types of emojis to new texting features.

0:29:35.000 --> 0:29:37.160
<v Speaker 8>But one new application at least will be part of

0:29:37.200 --> 0:29:37.680
<v Speaker 8>the story.

0:29:37.720 --> 0:29:38.720
<v Speaker 6>That's passwords.

0:29:39.000 --> 0:29:40.640
<v Speaker 8>It's going to be a competitor, like you said to

0:29:40.680 --> 0:29:43.600
<v Speaker 8>one password and last past. It'll be a dedicated app

0:29:43.760 --> 0:29:47.360
<v Speaker 8>where you're able to store all your login information for websites,

0:29:48.200 --> 0:29:50.320
<v Speaker 8>secure Wi Fi passwords.

0:29:50.400 --> 0:29:51.280
<v Speaker 6>You'll be able to use.

0:29:51.160 --> 0:29:54.320
<v Speaker 8>Pass keys, which is a new initiative from Apple, Google

0:29:54.360 --> 0:29:56.840
<v Speaker 8>and a few other tech companies where you use space

0:29:56.920 --> 0:30:00.320
<v Speaker 8>ID or touch ID in lieu of a password, sort

0:30:00.320 --> 0:30:04.160
<v Speaker 8>of this encrypted phrase that's stored directly on your devices.

0:30:04.240 --> 0:30:05.600
<v Speaker 6>So it'll support that as well.

0:30:06.040 --> 0:30:08.080
<v Speaker 8>And the idea here, like you said, it's going to

0:30:08.080 --> 0:30:12.680
<v Speaker 8>get more people to securely encrypt and store their passwords.

0:30:13.040 --> 0:30:15.080
<v Speaker 8>And this is going to be stored using a service

0:30:15.080 --> 0:30:18.600
<v Speaker 8>called iCloud Peachain. This has existed for some time on

0:30:18.680 --> 0:30:22.160
<v Speaker 8>Apple's devices before to access your passwords you have to

0:30:22.200 --> 0:30:24.840
<v Speaker 8>do so from an interface.

0:30:24.360 --> 0:30:25.520
<v Speaker 6>Within the Settings app.

0:30:25.880 --> 0:30:28.520
<v Speaker 8>Now it's a standalone, dedicated app and that's probably going

0:30:28.600 --> 0:30:32.760
<v Speaker 8>to boost usage quite considerably of their password storage service.

0:30:33.760 --> 0:30:35.920
<v Speaker 6>Mark Apple WWDC.

0:30:36.040 --> 0:30:39.880
<v Speaker 3>On Monday, you've reported that we will get something called

0:30:40.040 --> 0:30:45.200
<v Speaker 3>Apple Intelligence. And finally Apple will show its hand in

0:30:45.240 --> 0:30:46.560
<v Speaker 3>the Generatordai era.

0:30:47.400 --> 0:30:48.600
<v Speaker 6>Give us your preview please.

0:30:50.360 --> 0:30:53.480
<v Speaker 8>Apple Intelligence that is going to be the core element of.

0:30:53.520 --> 0:30:55.120
<v Speaker 6>WWDC on Monday.

0:30:55.160 --> 0:30:57.240
<v Speaker 8>Obviously, the passwords thing I talked about is only going

0:30:57.280 --> 0:30:59.720
<v Speaker 8>to be a small bit of that. Apple Intelligence is

0:30:59.760 --> 0:31:03.720
<v Speaker 8>out push into artificial intelligence. The plan is to add

0:31:03.840 --> 0:31:09.920
<v Speaker 8>AI everywhere, infuse it with all of the core applications messages, Safari,

0:31:10.480 --> 0:31:15.800
<v Speaker 8>mail notes, calendar, voice memos, reminders, uses it. Pushing AI

0:31:16.160 --> 0:31:19.880
<v Speaker 8>everywhere in a very privacy conscious way. Now in terms

0:31:19.880 --> 0:31:21.880
<v Speaker 8>of Apple's own in house tools, so there's not going

0:31:21.920 --> 0:31:23.440
<v Speaker 8>to be a ton of generative AI.

0:31:23.800 --> 0:31:25.920
<v Speaker 6>For the generative AI component.

0:31:25.760 --> 0:31:28.360
<v Speaker 8>That's where they're going to be really focused on a

0:31:28.400 --> 0:31:32.800
<v Speaker 8>partnership with OpenAI, having a generative AI chatbot basically a

0:31:32.880 --> 0:31:38.160
<v Speaker 8>bespoke version of chat GPT within the iPhone on device, Spotlight,

0:31:38.240 --> 0:31:41.400
<v Speaker 8>Search Engine right, and components of Siri. So you're going

0:31:41.480 --> 0:31:44.840
<v Speaker 8>to get in house on device large language models from

0:31:44.840 --> 0:31:48.200
<v Speaker 8>Apple to power the AI within applications. You're going to

0:31:48.240 --> 0:31:52.280
<v Speaker 8>have an iCloud based infrastructure using Mac chips to power

0:31:52.760 --> 0:31:55.400
<v Speaker 8>more components of the AI initiative, and then you're going

0:31:55.440 --> 0:31:59.040
<v Speaker 8>to have open Ai to power the generative AI part

0:31:59.200 --> 0:32:02.000
<v Speaker 8>of the initiative. So this is a three prong approach.

0:32:02.400 --> 0:32:06.080
<v Speaker 8>Apple believes it has a strong story to tell. Personally,

0:32:06.280 --> 0:32:08.560
<v Speaker 8>I think we're playing a lot of catch up here

0:32:08.600 --> 0:32:11.560
<v Speaker 8>with their AI initiative. But again, they have a user

0:32:11.600 --> 0:32:14.680
<v Speaker 8>base of over two billion devices, and so overnight they

0:32:14.680 --> 0:32:18.680
<v Speaker 8>are going to naturally become the open market leader of

0:32:18.840 --> 0:32:19.880
<v Speaker 8>artificial intelligence.

0:32:21.480 --> 0:32:26.960
<v Speaker 3>Think that's Mark Gumman an absolutely astonishingly detailed WWDC preview,

0:32:27.000 --> 0:32:30.280
<v Speaker 3>and you're often absolutely spot and we look forward to it.

0:32:30.440 --> 0:32:32.040
<v Speaker 3>Coming up on the show, We're going to bring an

0:32:32.160 --> 0:32:34.080
<v Speaker 3>end to our New York Tech Week coverage and sit

0:32:34.120 --> 0:32:36.840
<v Speaker 3>down with one of the city's most valuable startups. The

0:32:36.880 --> 0:32:39.880
<v Speaker 3>president of data Iq joins us.

0:32:39.920 --> 0:32:41.920
<v Speaker 6>Next. This is Bloomberg.

0:32:51.280 --> 0:32:52.360
<v Speaker 4>On New York Tech Week.

0:32:52.400 --> 0:32:54.720
<v Speaker 2>It's coming to an end after the technology industry in

0:32:54.840 --> 0:32:57.440
<v Speaker 2>NYC has gathered for a week of events of panels

0:32:57.480 --> 0:32:58.680
<v Speaker 2>or conversations and parties.

0:32:58.720 --> 0:33:01.040
<v Speaker 4>And I'm pre used to say not too exhausted by

0:33:01.080 --> 0:33:03.280
<v Speaker 4>at all. It's one of New York's most valuable startups.

0:33:03.480 --> 0:33:07.080
<v Speaker 2>Joining us now is data Aiku president Chris Fanka Truman.

0:33:07.440 --> 0:33:09.880
<v Speaker 2>Data aku is actually a leading AI machine learning platform

0:33:09.920 --> 0:33:13.320
<v Speaker 2>for enterprise companies. Basically, you're selling universal AI platform. You

0:33:13.400 --> 0:33:16.160
<v Speaker 2>help governance with cost management, with security, of generative AI

0:33:16.200 --> 0:33:19.080
<v Speaker 2>applications based here in New York. Interestingly, you've also got

0:33:19.120 --> 0:33:20.040
<v Speaker 2>a hub in Paris.

0:33:20.440 --> 0:33:20.680
<v Speaker 1>Yep.

0:33:20.960 --> 0:33:23.320
<v Speaker 4>Why these two ecosystems, what are they doing for you?

0:33:23.520 --> 0:33:26.800
<v Speaker 12>Yeah, we actually founded in Paris. Are founders all French,

0:33:27.560 --> 0:33:33.000
<v Speaker 12>the mathematicians and Frances becoming especially Paris is definitely becoming

0:33:33.000 --> 0:33:34.320
<v Speaker 12>a center of AI.

0:33:35.040 --> 0:33:35.840
<v Speaker 6>Great education.

0:33:37.600 --> 0:33:39.600
<v Speaker 12>And if you talk about regulation, of course you're talking

0:33:39.600 --> 0:33:43.080
<v Speaker 12>about AI, you have to talk about regulation. The Europeans

0:33:43.120 --> 0:33:44.800
<v Speaker 12>tend to be a little bit ahead of the curve

0:33:44.840 --> 0:33:46.960
<v Speaker 12>in terms of regulation, and of course a lot of

0:33:46.960 --> 0:33:50.320
<v Speaker 12>the regulatory aspects of where Europe is actually heading towards

0:33:50.400 --> 0:33:52.560
<v Speaker 12>will come to the US, will come to issue just

0:33:52.600 --> 0:33:57.360
<v Speaker 12>like GDPR. So actually seeing what's happening in Europe, especially

0:33:57.400 --> 0:34:00.560
<v Speaker 12>in AI, is going to be critical for global enterprise.

0:34:00.120 --> 0:34:03.040
<v Speaker 2>Companies, And therefore it helps if you're selling them governance

0:34:03.080 --> 0:34:05.560
<v Speaker 2>in ways to sort of look around corners. But does

0:34:05.560 --> 0:34:09.680
<v Speaker 2>it also then make the future opportunities a little bit

0:34:09.840 --> 0:34:12.319
<v Speaker 2>slower to take the bite. Our CEO is a little

0:34:12.320 --> 0:34:14.680
<v Speaker 2>bit nervous about jumping full into generative AI.

0:34:15.360 --> 0:34:15.480
<v Speaker 1>Now.

0:34:15.600 --> 0:34:18.759
<v Speaker 12>I think we largely sell to enterprise, and you can't

0:34:18.760 --> 0:34:21.440
<v Speaker 12>find an enterprise company which is not regulated right where

0:34:21.440 --> 0:34:25.080
<v Speaker 12>there's oil and gas, insurance, financial services, you name it.

0:34:26.239 --> 0:34:30.759
<v Speaker 12>And instead of thinking of governance as more like a

0:34:30.920 --> 0:34:34.960
<v Speaker 12>lack of innovation track type of concept, I think finally,

0:34:35.000 --> 0:34:36.640
<v Speaker 12>I think we started to think about governance in a

0:34:36.680 --> 0:34:40.279
<v Speaker 12>little bit different way. So a data who are talking

0:34:40.280 --> 0:34:42.279
<v Speaker 12>to our clients, so we largely sell to Baybay large

0:34:42.360 --> 0:34:44.920
<v Speaker 12>enterprise companies. We have over ten percent of the global

0:34:44.920 --> 0:34:49.040
<v Speaker 12>two thousands, for example, very complicated global businesses, and you're

0:34:49.080 --> 0:34:51.920
<v Speaker 12>really trying to educate them in terms of what governance,

0:34:52.760 --> 0:34:57.160
<v Speaker 12>what regulatory aspects that they have to actually tackle right now, because,

0:34:57.239 --> 0:35:00.840
<v Speaker 12>as you correctly identified, if CEOs thay think, hey, this

0:35:00.920 --> 0:35:03.040
<v Speaker 12>governance thing is going to be very opique. Ideally don't

0:35:03.080 --> 0:35:05.840
<v Speaker 12>know where to invest, how to invest, and let's be honest,

0:35:05.880 --> 0:35:10.239
<v Speaker 12>AI is not cheap. It really requires a rethinking in

0:35:10.320 --> 0:35:13.480
<v Speaker 12>terms of how they actually distribute their either data or

0:35:13.520 --> 0:35:15.759
<v Speaker 12>IT budgets. But I think we are doing a very

0:35:15.800 --> 0:35:17.799
<v Speaker 12>very good job of actually going ahead of the curve

0:35:18.680 --> 0:35:21.160
<v Speaker 12>really speaking to them so they actually can create those

0:35:21.160 --> 0:35:25.239
<v Speaker 12>guardrails right now in their organizations and for AI to

0:35:25.360 --> 0:35:29.920
<v Speaker 12>really be effective and not think about AI like something

0:35:29.960 --> 0:35:33.160
<v Speaker 12>like everybody. Everybody can use an enterprise. We have to

0:35:33.200 --> 0:35:35.600
<v Speaker 12>completely rethink who are they going to be the users

0:35:35.600 --> 0:35:37.600
<v Speaker 12>of AI. It's not really going to be the data

0:35:37.640 --> 0:35:39.920
<v Speaker 12>scientists or the data engineers. You don't need a PhD

0:35:40.040 --> 0:35:43.400
<v Speaker 12>firm Standford to actually figure out AI. We have to

0:35:43.480 --> 0:35:46.400
<v Speaker 12>rethink how the whole concept of AI is going to

0:35:46.400 --> 0:35:47.080
<v Speaker 12>create value.

0:35:47.280 --> 0:35:50.359
<v Speaker 6>Well Chrig, yeah, you said it just then.

0:35:50.440 --> 0:35:53.000
<v Speaker 3>AI is expensive, right, And we reflected earlier in the

0:35:53.040 --> 0:35:57.120
<v Speaker 3>show in the context of the jobs data that there

0:35:57.160 --> 0:36:01.080
<v Speaker 3>are a finite number of computer scientists and software engineers

0:36:01.160 --> 0:36:04.080
<v Speaker 3>from Stanford or otherwise. Are you able to get the

0:36:04.080 --> 0:36:06.800
<v Speaker 3>people that you want in New York and in Paris?

0:36:07.040 --> 0:36:08.840
<v Speaker 6>And are you paying them over the odds?

0:36:10.680 --> 0:36:13.440
<v Speaker 12>I think we have to think about AI completely differently.

0:36:13.600 --> 0:36:16.400
<v Speaker 12>I think right now we are thinking about AI really

0:36:16.400 --> 0:36:22.520
<v Speaker 12>inform a lens of compute and the hyperscalers and if

0:36:22.600 --> 0:36:25.239
<v Speaker 12>what we do and what we do really special in

0:36:25.320 --> 0:36:27.360
<v Speaker 12>data IQUP and I'll go back to your question why

0:36:27.640 --> 0:36:30.839
<v Speaker 12>we can actually go attract really high quality talent? Is

0:36:30.920 --> 0:36:34.360
<v Speaker 12>we think of AI as something that everyday users in

0:36:34.400 --> 0:36:38.040
<v Speaker 12>an organization should be using. So not only the data scientists,

0:36:38.080 --> 0:36:40.360
<v Speaker 12>but the person who works in finance, the first who

0:36:40.400 --> 0:36:42.520
<v Speaker 12>works in HR, the person who works in legal, the

0:36:42.760 --> 0:36:46.800
<v Speaker 12>person who actually works in manufacturing. Those people don't need

0:36:46.840 --> 0:36:49.800
<v Speaker 12>an advanced degree to really take the value of AI,

0:36:50.239 --> 0:36:54.000
<v Speaker 12>because right now what we are seeing behind the scenes

0:36:54.400 --> 0:36:57.160
<v Speaker 12>in terms of AI, most of the investment and the

0:36:57.239 --> 0:37:01.759
<v Speaker 12>value creation, both for company as well as for investors,

0:37:02.239 --> 0:37:05.359
<v Speaker 12>is going to come in the application layer. Just like

0:37:05.360 --> 0:37:07.600
<v Speaker 12>in the early days on the Internet, we put a

0:37:07.600 --> 0:37:10.480
<v Speaker 12>lot of fiber right, we put built a lot of

0:37:10.600 --> 0:37:13.400
<v Speaker 12>large data centers, but the people who really really created

0:37:13.520 --> 0:37:17.400
<v Speaker 12>value are in essence, the people who actually created the application,

0:37:18.080 --> 0:37:20.920
<v Speaker 12>and similar we are ton AI. You will actually see

0:37:21.400 --> 0:37:25.560
<v Speaker 12>that we hire board scientists as well as regular folks

0:37:25.560 --> 0:37:28.360
<v Speaker 12>because the other people can really understand the needs of

0:37:28.400 --> 0:37:31.600
<v Speaker 12>the end user and actually can drive m.

0:37:31.600 --> 0:37:33.279
<v Speaker 6>Sorry to cut you off, we got to go.

0:37:33.520 --> 0:37:36.720
<v Speaker 3>Data IQ President krish Benker traman crazy have Them program.

0:37:36.760 --> 0:37:37.120
<v Speaker 6>Thank you.

0:37:45.320 --> 0:37:48.600
<v Speaker 3>San Francisco's mayoral race is ongoing. We've been talking to

0:37:48.680 --> 0:37:51.440
<v Speaker 3>some of the candidates about their vision for the future

0:37:51.440 --> 0:37:55.040
<v Speaker 3>of this city. Some say it's tech centric nature needs

0:37:55.040 --> 0:37:58.040
<v Speaker 3>to be harnessed. Others say it's too tech centric. Let's

0:37:58.040 --> 0:38:01.480
<v Speaker 3>get the view of another candidate. Annually, re founder and

0:38:01.520 --> 0:38:06.040
<v Speaker 3>former CEO of Tipping Point Community and Mark Farrell has

0:38:06.080 --> 0:38:09.360
<v Speaker 3>been on the show and basically said were over index

0:38:09.520 --> 0:38:11.600
<v Speaker 3>historically to tech, but they've left.

0:38:11.800 --> 0:38:13.320
<v Speaker 6>We desperately need them back.

0:38:13.840 --> 0:38:17.880
<v Speaker 3>You share that view, but you want to specifically focus

0:38:18.000 --> 0:38:21.239
<v Speaker 3>on the corner of the technology industry that's looking at

0:38:21.480 --> 0:38:22.600
<v Speaker 3>green energy and climate.

0:38:23.440 --> 0:38:28.399
<v Speaker 13>Well, first, thanks for having me. San Francisco is coming back.

0:38:28.480 --> 0:38:30.799
<v Speaker 13>There is not a question in my mind. This race

0:38:30.920 --> 0:38:34.440
<v Speaker 13>is about how quickly I'm running against a number of

0:38:34.480 --> 0:38:37.920
<v Speaker 13>city hall insiders who frankly got us into this mess.

0:38:37.960 --> 0:38:41.799
<v Speaker 13>And it's not going to be done by anyone from

0:38:41.800 --> 0:38:46.400
<v Speaker 13>inside that building. It needs accountable leadership, it needs new ideas.

0:38:46.480 --> 0:38:49.719
<v Speaker 13>I'm excited today to talk to you about my proposal

0:38:49.760 --> 0:38:52.920
<v Speaker 13>to bring a climate Innovation hub here to San Francisco.

0:38:53.640 --> 0:38:56.560
<v Speaker 13>And you've just had many guests on talking about AI.

0:38:57.480 --> 0:39:01.239
<v Speaker 13>San Francisco is already the center of AI, but we

0:39:01.320 --> 0:39:04.560
<v Speaker 13>need to marry that with I've heard that a lot

0:39:04.680 --> 0:39:06.200
<v Speaker 13>with respect missterilliary.

0:39:06.320 --> 0:39:07.440
<v Speaker 6>What are you actually going to do?

0:39:07.719 --> 0:39:09.759
<v Speaker 3>You know what is a concrete policy that's going to

0:39:09.840 --> 0:39:12.440
<v Speaker 3>get a company to say, yeah, you know what, this

0:39:12.800 --> 0:39:13.840
<v Speaker 3>he's going to fix the city.

0:39:14.040 --> 0:39:18.279
<v Speaker 13>We're first off, we're coming back. We have the best

0:39:18.320 --> 0:39:21.160
<v Speaker 13>research institutions We have Meta, we have Google, we have

0:39:21.239 --> 0:39:24.400
<v Speaker 13>open Eyes AI, and we have a say we have

0:39:24.600 --> 0:39:28.719
<v Speaker 13>open office space. We have twenty two salesforce towers of

0:39:28.840 --> 0:39:32.720
<v Speaker 13>open office space. We have to streamline permitting to invite

0:39:32.800 --> 0:39:35.799
<v Speaker 13>clean tech companies back here. You need a mayor with

0:39:36.000 --> 0:39:38.800
<v Speaker 13>vision that no longer is going to say business is

0:39:38.840 --> 0:39:42.240
<v Speaker 13>a bad word, but we're going to embrace tech, clean tech.

0:39:43.320 --> 0:39:45.000
<v Speaker 13>We need to do this. We need to do it

0:39:45.040 --> 0:39:47.560
<v Speaker 13>with new vision and new leadership. And that's what I

0:39:47.600 --> 0:39:48.520
<v Speaker 13>bring to this race.

0:39:49.040 --> 0:39:52.280
<v Speaker 3>What kind of I guess coalition you're building, Miss Deilliary,

0:39:52.400 --> 0:39:55.839
<v Speaker 3>You know who are the companies and existing industry leaders.

0:39:55.520 --> 0:39:57.520
<v Speaker 6>That you feel are backing you. Well.

0:39:57.640 --> 0:40:00.960
<v Speaker 13>I have a track record of bringing together the business community,

0:40:01.040 --> 0:40:04.120
<v Speaker 13>the nonprofit community, of the civic community. Mayor ed Lee

0:40:04.120 --> 0:40:07.160
<v Speaker 13>actually asked me to chair the bid for Super Bowl

0:40:07.239 --> 0:40:10.840
<v Speaker 13>fifty back in twenty thirteen. We had to go up

0:40:10.880 --> 0:40:15.080
<v Speaker 13>against Miami. I led the cheerleading for that effort. We

0:40:15.120 --> 0:40:17.879
<v Speaker 13>won the rights to bring that game here. We brought

0:40:17.920 --> 0:40:21.000
<v Speaker 13>two hundred and forty million dollars worth of economic revenue

0:40:21.040 --> 0:40:23.520
<v Speaker 13>to San Francisco, to the Bay Area. And guess what,

0:40:24.520 --> 0:40:26.880
<v Speaker 13>we created the Bay Area Host Committee. We got the

0:40:27.000 --> 0:40:29.640
<v Speaker 13>NBA All Star Game coming here next year. We have

0:40:29.960 --> 0:40:33.040
<v Speaker 13>Super Bowl sixty coming back, we have six World Cup

0:40:33.080 --> 0:40:35.600
<v Speaker 13>matches coming here. The eyes of the world are going

0:40:35.680 --> 0:40:38.600
<v Speaker 13>to be on San Francisco again. But we have to

0:40:38.680 --> 0:40:39.560
<v Speaker 13>do the basics.

0:40:39.719 --> 0:40:39.759
<v Speaker 6>Ed.

0:40:40.400 --> 0:40:42.560
<v Speaker 13>We have to have clean streets, we have to have

0:40:42.640 --> 0:40:45.720
<v Speaker 13>safe streets, and not just when the JP Morgan healthcare

0:40:45.719 --> 0:40:50.480
<v Speaker 13>conferences in town or APEC is here. Simply put, we

0:40:50.560 --> 0:40:54.520
<v Speaker 13>need new leadership, and that's what I provide.

0:40:55.000 --> 0:40:58.840
<v Speaker 2>There's a political risk here that is not just meyoral

0:40:58.880 --> 0:41:01.759
<v Speaker 2>candidates coming up, so there's also a presidential election that

0:41:02.760 --> 0:41:05.400
<v Speaker 2>might not be that supportive of climate tech. How do

0:41:05.400 --> 0:41:07.920
<v Speaker 2>you ensure that we're not going into a bus situation

0:41:08.040 --> 0:41:10.799
<v Speaker 2>that you're betting on the right ecosystem here at Daniel.

0:41:11.239 --> 0:41:14.520
<v Speaker 13>Well, listen, we all know we need to have decarbonization.

0:41:14.760 --> 0:41:16.360
<v Speaker 6>We have a climate crisis.

0:41:16.400 --> 0:41:19.400
<v Speaker 13>We all know that when you're looking at companies like

0:41:19.440 --> 0:41:25.000
<v Speaker 13>Meta Google, they need more energy, they need more power,

0:41:25.520 --> 0:41:28.040
<v Speaker 13>and they have their own climate goals. And so this

0:41:28.120 --> 0:41:31.480
<v Speaker 13>is a technology that is just getting started.

0:41:32.640 --> 0:41:34.279
<v Speaker 3>I'm certain in trouble. I just want to get to

0:41:34.320 --> 0:41:37.080
<v Speaker 3>the idea of what the city will become. One vision

0:41:37.120 --> 0:41:40.360
<v Speaker 3>associate with your name is Wall Street for Climate Tech Bros.

0:41:41.280 --> 0:41:41.920
<v Speaker 6>Is that fair?

0:41:42.600 --> 0:41:46.200
<v Speaker 13>Well, Listen, this city needs to get back to its roots.

0:41:46.280 --> 0:41:49.359
<v Speaker 13>We need to be focused on arts and culture. We

0:41:49.480 --> 0:41:53.600
<v Speaker 13>also need to embrace business as well for us to

0:41:53.680 --> 0:41:56.799
<v Speaker 13>be a great American city. We also need the tax

0:41:56.880 --> 0:42:00.440
<v Speaker 13>revenue that we have lost under the current leadership. We

0:42:00.560 --> 0:42:05.000
<v Speaker 13>have seen businesses fleeing this city. It's time that we

0:42:05.160 --> 0:42:08.000
<v Speaker 13>go win business back. I've done it before and I'll

0:42:08.000 --> 0:42:08.560
<v Speaker 13>do it again.

0:42:09.320 --> 0:42:12.560
<v Speaker 3>San Francisco Meryl candidate Daniel Luy, grateful for you coming

0:42:12.560 --> 0:42:16.000
<v Speaker 3>into the studio. Thank you for having me and as

0:42:16.239 --> 0:42:19.000
<v Speaker 3>if the brace progresses, come back again, Carol.

0:42:19.800 --> 0:42:22.560
<v Speaker 2>Fascinating the way in which cities continue to evolve. We've

0:42:22.560 --> 0:42:24.759
<v Speaker 2>taught New York, talked a bit of Paris, San Francisco.

0:42:24.800 --> 0:42:27.120
<v Speaker 2>But look, this is the end of this edition of

0:42:27.120 --> 0:42:29.439
<v Speaker 2>Bluembog Technology. A lot to look forward to for next

0:42:29.440 --> 0:42:31.239
<v Speaker 2>week and indeed in a few minutes time.

0:42:32.480 --> 0:42:36.560
<v Speaker 3>Yeah, I mean just incredible. What's happening next week? Nvidia, Apple,

0:42:36.640 --> 0:42:40.000
<v Speaker 3>and Tesla. I'm away, but Caro, you got this and

0:42:40.560 --> 0:42:41.680
<v Speaker 3>in many ways I'm envious.

0:42:41.760 --> 0:42:42.359
<v Speaker 6>Check out the pod.

0:42:42.400 --> 0:42:44.560
<v Speaker 3>You know where to find it. From San Francisco and

0:42:44.600 --> 0:42:46.680
<v Speaker 3>New York. This is Bloomberg Technology,