WEBVTT - Lyft Earnings and Bret Taylor's New AI Product

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<v Speaker 1>From Marhart where Innovation of Money and Power Collie in

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<v Speaker 1>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 Heinde at Bloomberg's worldad quarters in New York,

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<v Speaker 3>Alaned Ludlow in San Francisco.

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<v Speaker 4>This Bloomberg Technology coming up.

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<v Speaker 3>We sit down with the CEO of Lift to run

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<v Speaker 3>through the company's results. Break down that all important clerical

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<v Speaker 3>error that led to at one point a sixty seven

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<v Speaker 3>percent surge in its shares.

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<v Speaker 4>Class.

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<v Speaker 5>Will be joined by Open Ai chair and former Salesforce

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<v Speaker 5>CEO Brett Taylor as he raises one hundred and ten

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<v Speaker 5>million dollars to bring AI agents to business.

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<v Speaker 3>And fighting talk from Mark Zuckerberg as he personally reviews

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<v Speaker 3>Apple's Vision.

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<v Speaker 6>Pro whereas takeaways not good.

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<v Speaker 3>We'll discuss that and so much more throughout this hour,

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<v Speaker 3>but first let's check in on these markets. Uber giving

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<v Speaker 3>money back to the investor base. Remember they had a

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<v Speaker 3>really strong quarter, they posted it last week, and then

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<v Speaker 3>today after an investor meeting, they're giving us a share buyback.

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<v Speaker 3>We're driving that stock up almost twelve percent on the

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<v Speaker 3>back of that, as they managed to be bringing profitability

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<v Speaker 3>and therefore capital back to the investor base. Let's have

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<v Speaker 3>a look at what's happening though with the rival Lift.

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<v Speaker 3>I mean, what an extraordinary day we had yesterday earning's

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<v Speaker 3>posted but an extra zero crept into the margin forecast

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<v Speaker 3>five hundred bits. That was clerical error, they called it.

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<v Speaker 3>We rose up to sixty seven percent in after ours trading.

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<v Speaker 3>We then sunk back down. Now we are still trading

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<v Speaker 3>higher on Lift for that five hundred margin becomes a

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<v Speaker 3>fifty margin. Overall, we've got to dig into the growth

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<v Speaker 3>of this business and actually how they're giving back to

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<v Speaker 3>the consumer. A key conversation that we're about to have now.

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<v Speaker 5>Welcome to our TV and radio audiences worldwide. Joining us

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<v Speaker 5>now on the company's fourth quarter is Lift CEO David

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<v Speaker 5>Risher and David a clerical error?

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<v Speaker 4>What happened?

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<v Speaker 2>Well, look, first of all, it's on me. There are

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<v Speaker 2>a lot of eyes on this press release. But at

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<v Speaker 2>the end of the day, my bad. But look, I

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<v Speaker 2>don't want it to take anything away from the butt

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<v Speaker 2>kicking performance that the business did thanks to all of

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<v Speaker 2>our employees and thanks to millions of drivers. I mean, look,

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<v Speaker 2>we had our financially strongest quota we've ever had, and

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<v Speaker 2>I'm super excited about.

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<v Speaker 5>To be clear, this was simply a mistake, human error.

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<v Speaker 5>The stock rose as much as six seven percent in

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<v Speaker 5>after hours. As Caroline pointed out, it's significantly hard this morning,

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<v Speaker 5>and we can talk about the performance in the quarter

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<v Speaker 5>gone and the performance in the current period. This may

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<v Speaker 5>sound bizarre to you, but I think it's a real question.

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<v Speaker 5>Did you guys use AI to write that press release seriously?

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<v Speaker 5>Or is this as simple as you are? Calling it

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<v Speaker 5>a clerical error?

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<v Speaker 6>Now it was a clerical error.

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<v Speaker 2>Yeah, Now we're not at the point where press releases

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<v Speaker 2>can be written by at least not financial pressure releases.

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<v Speaker 6>No way.

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<v Speaker 3>I hate to ask it because real people's jobs are

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<v Speaker 3>now on the line, I'm sure, David, and I want

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<v Speaker 3>to ask, is a cfo's role safe? Is this going

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<v Speaker 3>to have repercussions from across your membership and employee.

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<v Speaker 2>Base the cfo's or is one hundred percent safe? One

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<v Speaker 2>hundred percent safe? Look, she and the team are taking

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<v Speaker 2>this incredibly seriously, and you have to understand. I mean,

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<v Speaker 2>we go through hours and hours of checking and double

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<v Speaker 2>checking before something like this goes. It's an unacceptable error. Again, Ultimately,

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<v Speaker 2>it's on me. I'm the CEO.

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<v Speaker 6>Buck stops with me, but the team is taking it.

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<v Speaker 3>Super seriously, and I know that you want to be

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<v Speaker 3>talking ultimately about how you're seeing growth in the business.

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<v Speaker 3>And I'm sure that that's something that in a way,

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<v Speaker 3>the salt in the wound is even greater because you

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<v Speaker 3>had a great story to tell and it got marred

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<v Speaker 3>by this particular error. But people are going back and

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<v Speaker 3>saying that you've never seen anything like.

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<v Speaker 4>This in history.

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<v Speaker 3>David, what would you do differently in the next stannings?

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<v Speaker 3>How can you make sure that it investors feel confident

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<v Speaker 3>in the statements that you put out to them in

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<v Speaker 3>the foreseeable future.

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<v Speaker 2>Yeah, I mean, look, I would look at our record

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<v Speaker 2>and look at the growth, look at the fundamentals of

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<v Speaker 2>the financials. And to be very clear, this was it

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<v Speaker 2>was a bad error, but it was one zero in

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<v Speaker 2>a press release and you know a lot of other pages,

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<v Speaker 2>and of course we corrected it within seconds of finding it.

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<v Speaker 2>So I think, you know, like with any mistake, I

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<v Speaker 2>think it's not so much about the mistake itself, it's

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<v Speaker 2>also about how you correct for it. And we've corrected

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<v Speaker 2>for it obviously in the moment putting out new materials,

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<v Speaker 2>but also doing a really deep process type including having

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<v Speaker 2>our own internal ardit team, a separate team look and

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<v Speaker 2>figure out how we can make sure we never make

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<v Speaker 2>a mistake.

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<v Speaker 6>Like this again.

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<v Speaker 5>Okay, if you're listening on Bloomberg Television and radio worldwide,

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<v Speaker 5>we're joined by the CEO of Lift, David Risher, and

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<v Speaker 5>I go back to the current stock performance. You are

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<v Speaker 5>still up thirty two percent in the session, and there

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<v Speaker 5>are so many stories within that, but I zero in

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<v Speaker 5>on the gross booking outlook strong.

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<v Speaker 4>Yeah, what is the story there? For me?

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<v Speaker 5>I'm trying to make sense of the gig economy more broadly,

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<v Speaker 5>on both the demand and supply side. But if you

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<v Speaker 5>look at the consumer, you look at corporates spending, you

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<v Speaker 5>guys are adding to this narrative that things are quite

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<v Speaker 5>rosy out there.

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<v Speaker 4>And when does that stop? How long does it last?

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<v Speaker 2>Well, look, I don't know when it stops. That's the

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<v Speaker 2>shricky thing to predict. But here's what I can tell you.

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<v Speaker 2>We've had now four quarters of growth, increasing growth, and

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<v Speaker 2>we had our biggest growth year last year of our

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<v Speaker 2>company's history. And by the way, we're talking about billions

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<v Speaker 2>of dollars, by the way, billions of dollars that end

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<v Speaker 2>up going in drivers pockets. So you can see this

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<v Speaker 2>is a really important part of the economy because it's

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<v Speaker 2>a really important part of people's lives.

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<v Speaker 6>When people take the seven.

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<v Speaker 2>Hundred million trips they took last year on lift, they're

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<v Speaker 2>going to see their parents, they're going to a tailor

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<v Speaker 2>swift concert, they're going to work every day, they're coming

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<v Speaker 2>home from work, they're going to see their doctor.

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<v Speaker 6>This is an important part of people's lives.

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<v Speaker 2>And then when drivers are driving, they're earning to save

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<v Speaker 2>for a house, they're earned to save for tuition. They're

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<v Speaker 2>earning because maybe they lost a W two job and

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<v Speaker 2>they're three weeks away from picking up a new job

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<v Speaker 2>and they need something to bridge them. So it doesn't

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<v Speaker 2>surprise me that the gig economy is becoming increasingly es

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<v Speaker 2>central part of people's lives and people's economic lives.

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<v Speaker 5>Your bigger competitor, Uber succeeded by adding new products to

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<v Speaker 5>the app, diversifying even within ride hailing, and it proved

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<v Speaker 5>that its algorithm is working in matching riders with efficient

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<v Speaker 5>routes and drivers. Do you feel that you're going to

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<v Speaker 5>be competitive in those domains.

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<v Speaker 4>I do.

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<v Speaker 6>I do.

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<v Speaker 2>Look, our focus is a huge strength. We are one

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<v Speaker 2>hundred percent focused on ride share. You know, just yesterday

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<v Speaker 2>we launched women plus Connect that allows a woman rider

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<v Speaker 2>to pick a woman driver all across the United States

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<v Speaker 2>two hundred and seventy markets. It's been a huge success

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<v Speaker 2>over the first six months when we've been kind of

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<v Speaker 2>trialing it. We launched a new driver standard that allows

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<v Speaker 2>drivers to get a guarantee that they'll never earn less

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<v Speaker 2>than seventy percent of what rider pays them after us

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<v Speaker 2>some fees. So, you know, this is the sort of

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<v Speaker 2>innovation that we can do because we're focused on ride share.

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<v Speaker 2>And look, I expect Uber to do pretty well. I

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<v Speaker 2>think we'll do pretty well too. I think this is

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<v Speaker 2>a really strong sector.

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<v Speaker 3>I'm going to go back to the drivers, David, because

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<v Speaker 3>what's interesting on this day is there is strike action.

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<v Speaker 3>There is on Valentine's Day, whether you're going to be

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<v Speaker 3>flying to Miami, where they're going to be flying to Chicago,

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<v Speaker 3>there might well be issues trying to get a new

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<v Speaker 3>but or indeed a lift. And also in the UK

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<v Speaker 3>as well, I'm interested as to what's happening when you

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<v Speaker 3>are offering seventy percent guarantee, why still do they want

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<v Speaker 3>to demand more even if you say, look, i'm giving

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<v Speaker 3>you flexibility.

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<v Speaker 2>Yeah, I mean, first on the strike itself, Carolyn, It's

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<v Speaker 2>been in the works for weeks, you know, so it

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<v Speaker 2>predates the announcement of this new seventy percent guarantee. If

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<v Speaker 2>you look at what the drivers are asking for, and

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<v Speaker 2>I think these are reasonable things to bring up. They

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<v Speaker 2>want more transparency on their pay. We've given it to them.

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<v Speaker 2>We give them a very very clear weekly breakdown that says,

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<v Speaker 2>this is how much riders paid you, this is how

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<v Speaker 2>much we took, this is how much you get.

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<v Speaker 6>They've asked for a guarantee right so that they don't,

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<v Speaker 6>you know, so that there's a floor to their earnings.

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<v Speaker 2>We've given them that too. They've asked for better visibility

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<v Speaker 2>and deactivation. You know, if you, as a writer raise

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<v Speaker 2>a complaint about about a driver, we.

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<v Speaker 6>Have a whole process we go through, and drivers, of course.

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<v Speaker 2>Don't want to be off the platform, particular if they

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<v Speaker 2>think it was an unfair accusation. And now we cover

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<v Speaker 2>something like seventy percent of those in less than twenty

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<v Speaker 2>four hours. And there's a new one click button that

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<v Speaker 2>allows drivers to sort of appeal the deactivation. So what

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<v Speaker 2>we're doing is we're focused on drivers because we're obsessed

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<v Speaker 2>over customers. That's kind of our thing, and by doing that,

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<v Speaker 2>we think we can address a lot of their issues

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<v Speaker 2>that they're raising.

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<v Speaker 3>JP Morgan actually completely in line with some of the

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<v Speaker 3>words that you use there. The customer obsession is something

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<v Speaker 3>they point out. The marketplace health is something they see

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<v Speaker 3>to continuing to improve on supply tailwinds.

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<v Speaker 6>So really, drivers are not your.

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<v Speaker 4>Issue in the moment.

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<v Speaker 3>Compared to JP Morgan, another analyst, Opram from Nathan Nathanson,

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<v Speaker 3>those saying ultimately are at the mercy of Uber when

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<v Speaker 3>it comes to pricing power and take rates. Do you

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<v Speaker 3>feel that way that you're in the mercy of Uber

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<v Speaker 3>in some way?

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<v Speaker 2>No, I mean it's a competitive marketplace, so I think,

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<v Speaker 2>you know, to a certain extent there at our mercy,

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<v Speaker 2>like we're at theirs, right, we can't do things that

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<v Speaker 2>are completely different and expect to have, you know, kind

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<v Speaker 2>of reasonable results. But at the same time, you know,

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<v Speaker 2>for example, let's again look at this driver Earn's guarantee.

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<v Speaker 2>That's a that's a commitment we've made. It's a leadership

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<v Speaker 2>move we've made. You know, we'll see whether Uber followers

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<v Speaker 2>or not. But that's an area where I would say

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<v Speaker 2>they're going to want to look pretty closely at what

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<v Speaker 2>we're doing and decide whether they want to follow us.

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<v Speaker 2>But I think it should be honest. I think this

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<v Speaker 2>is a healthy marketplace. It's got two good players in

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<v Speaker 2>a Huber and Left, and we're both doing a good job.

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<v Speaker 2>I like our strategy better because I think we're more

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<v Speaker 2>focused on writers and drivers and I think that's a

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<v Speaker 2>real strength.

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<v Speaker 6>But you know, they're going at a versification thing. We'll

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<v Speaker 6>see if that works from them.

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<v Speaker 5>For our Bloomberg television and radio audience, we're speaking with

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<v Speaker 5>LIFT CEO David Risher. And David as you know, we

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<v Speaker 5>always go to our audience and ask what would you

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<v Speaker 5>want to know from from David Risher? And it's the

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<v Speaker 5>same question every time. Is LIFT and acquisition target? And

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<v Speaker 5>many put people put forward hypotheses about the type of

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<v Speaker 5>business you know, maybe an auto maker, maybe another convenience app.

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<v Speaker 5>But where's your head at with that?

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<v Speaker 6>You call?

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<v Speaker 4>With your earnings performance?

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<v Speaker 5>But kicking yeah, but there are still free cash flow questions.

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<v Speaker 5>There are still scale questions with lift.

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<v Speaker 6>Yeah, well let.

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<v Speaker 2>Me talk about those and then and then get to

0:10:11.000 --> 0:10:11.720
<v Speaker 2>the court of the question.

0:10:12.040 --> 0:10:13.480
<v Speaker 6>Look, we were free cash flow.

0:10:13.400 --> 0:10:15.959
<v Speaker 2>Positor for the second time in our company's history this quarter,

0:10:16.200 --> 0:10:18.319
<v Speaker 2>and we've committed to investors will be free cashul A

0:10:18.400 --> 0:10:20.960
<v Speaker 2>positive for the year of twenty twenty four, so you know,

0:10:21.040 --> 0:10:22.840
<v Speaker 2>and we have one point seven million dollars in the bank.

0:10:22.880 --> 0:10:25.000
<v Speaker 2>So from a cash perspective, from a pretty good shape.

0:10:25.160 --> 0:10:28.200
<v Speaker 2>From demand perspective, we're in good shape, highest demand ever.

0:10:28.400 --> 0:10:30.920
<v Speaker 2>From a supply perspective, we're in good shape, highest drivers

0:10:30.920 --> 0:10:33.360
<v Speaker 2>hours since we've had since twenty nineteen, so you know,

0:10:33.400 --> 0:10:35.800
<v Speaker 2>from a basic core and then again you think about it,

0:10:35.880 --> 0:10:38.400
<v Speaker 2>seven hundred million rides in a year. I mean, think

0:10:38.440 --> 0:10:41.240
<v Speaker 2>about a Delta air Lines that might do a couple thousand,

0:10:41.240 --> 0:10:43.520
<v Speaker 2>maybe three or four thousand takeoff and landings a day,

0:10:43.760 --> 0:10:45.880
<v Speaker 2>whereas we do, let's get two million a day. So

0:10:45.920 --> 0:10:47.720
<v Speaker 2>our scale isn't really an issue for us. We've got

0:10:47.760 --> 0:10:50.560
<v Speaker 2>pretty good scale. Ask the acquisition thing, you know, just

0:10:50.559 --> 0:10:52.160
<v Speaker 2>like people ask the same question, I always give the

0:10:52.160 --> 0:10:52.760
<v Speaker 2>same answer.

0:10:53.760 --> 0:10:55.679
<v Speaker 6>I mean, our phone, you know, will pick up the.

0:10:55.600 --> 0:10:57.319
<v Speaker 2>Phone if someone calls because that's the deal, but it's

0:10:57.320 --> 0:10:57.920
<v Speaker 2>not our focus.

0:10:57.960 --> 0:10:58.640
<v Speaker 6>Our focus is.

0:10:58.559 --> 0:11:03.320
<v Speaker 5>Customers, right Lifts CEO David Risher on set here in

0:11:03.360 --> 0:11:04.040
<v Speaker 5>San Francisco.

0:11:04.200 --> 0:11:05.400
<v Speaker 4>Thank you so much for your time.

0:11:05.600 --> 0:11:06.200
<v Speaker 6>For sure, thanks.

0:11:06.240 --> 0:11:12.480
<v Speaker 3>I enjoyed it, Caroline, such a deep conversation. So thousands

0:11:12.559 --> 0:11:15.400
<v Speaker 3>of US ride haaling workers. They're striking at major US

0:11:15.480 --> 0:11:18.040
<v Speaker 3>airports today, also in the UK. In fact, what are

0:11:18.040 --> 0:11:21.559
<v Speaker 3>they demanding been to pay benefits and in what organizers

0:11:21.600 --> 0:11:25.240
<v Speaker 3>say is their largest strike yet. However, Uber has actually said, look,

0:11:25.320 --> 0:11:28.679
<v Speaker 3>it won't have much impact on Valentine's Day operations. Joining

0:11:28.760 --> 0:11:31.559
<v Speaker 3>us now to dig into the movement of Uber and

0:11:31.640 --> 0:11:34.000
<v Speaker 3>Lyft and more notably, what's happening in the rest of

0:11:34.000 --> 0:11:36.360
<v Speaker 3>the ending space. Bloom Meg's Natalie Lang is here mandep

0:11:36.400 --> 0:11:38.920
<v Speaker 3>Seeing of bloue Meg Intelligence. Natalie, I start with you

0:11:39.280 --> 0:11:43.800
<v Speaker 3>this sort of pressure coming from ultimately the supply side

0:11:43.880 --> 0:11:47.079
<v Speaker 3>and then worry about regulatory changes. Is it something that

0:11:47.559 --> 0:11:49.240
<v Speaker 3>companies and investors should be worried about?

0:11:49.240 --> 0:11:53.440
<v Speaker 7>Still, It's definitely and overhang that analysts have been talking about.

0:11:53.720 --> 0:11:56.480
<v Speaker 7>There's different laws that are coming up this year, such

0:11:56.520 --> 0:12:00.000
<v Speaker 7>as the Supreme Court decision in California over Prop twenty two,

0:12:00.080 --> 0:12:03.920
<v Speaker 7>which guarantee minimum pay for drivers. In Minnesota, people are

0:12:03.920 --> 0:12:08.000
<v Speaker 7>fighting for better pay standards, and so it's definitely something

0:12:08.040 --> 0:12:11.360
<v Speaker 7>that would add costs for the company. But so far,

0:12:11.760 --> 0:12:15.000
<v Speaker 7>whenever regulatory changes have been made, we see the company

0:12:15.200 --> 0:12:19.040
<v Speaker 7>trying to pass that cost, either maybe from the driver side,

0:12:19.240 --> 0:12:22.480
<v Speaker 7>or passing that cost to customers by adding a fee,

0:12:22.559 --> 0:12:25.120
<v Speaker 7>like in New York they added a courier fee after

0:12:25.200 --> 0:12:28.440
<v Speaker 7>a minimum wage was implemented, So in a way, the

0:12:28.480 --> 0:12:30.880
<v Speaker 7>business has a way to sort of mitigate.

0:12:30.480 --> 0:12:35.840
<v Speaker 5>These Mandy, this has been a pretty astonishing week in

0:12:35.880 --> 0:12:39.920
<v Speaker 5>the world of gig economy, in the world of convenience apps.

0:12:40.040 --> 0:12:41.040
<v Speaker 4>Call it what you will.

0:12:41.480 --> 0:12:43.480
<v Speaker 5>I guess let's go back in and zero on the

0:12:44.080 --> 0:12:48.240
<v Speaker 5>Uber investor sweetener. It's an interesting one, but it's built

0:12:48.280 --> 0:12:51.320
<v Speaker 5>on the back of a profitable year, and if you

0:12:51.400 --> 0:12:53.880
<v Speaker 5>take that in aggregate with what David Risher of Lyft

0:12:53.920 --> 0:12:58.160
<v Speaker 5>just told us, the demand side of this economy is

0:12:58.200 --> 0:12:58.880
<v Speaker 5>holding up.

0:13:00.280 --> 0:13:00.439
<v Speaker 8>Yeah.

0:13:00.480 --> 0:13:04.720
<v Speaker 9>I mean, look, I've always felt these companies generate, you know,

0:13:05.120 --> 0:13:08.800
<v Speaker 9>more value than the profitability that they have shown so far,

0:13:09.120 --> 0:13:13.200
<v Speaker 9>and in this case, I think Uber has shown that

0:13:13.440 --> 0:13:16.920
<v Speaker 9>it is working towards this vision of you know, becoming

0:13:16.920 --> 0:13:20.880
<v Speaker 9>a super app where if you're thinking about transportation, you

0:13:20.960 --> 0:13:24.760
<v Speaker 9>go to Uber, whether it's right sharing, delivery, or even taxis.

0:13:24.760 --> 0:13:26.840
<v Speaker 9>I mean, we have come a full circle, you know,

0:13:26.880 --> 0:13:31.199
<v Speaker 9>in terms of disrupting Taxis to having Taxis on Uber's platform.

0:13:31.240 --> 0:13:35.960
<v Speaker 9>And I think scale and operating efficiency is what drives

0:13:35.960 --> 0:13:38.560
<v Speaker 9>a mode in this business, and I think Uber is

0:13:38.640 --> 0:13:39.960
<v Speaker 9>clearly demonstrating that.

0:13:40.880 --> 0:13:42.200
<v Speaker 4>Okay, let's talk about Airbnb.

0:13:42.400 --> 0:13:44.880
<v Speaker 5>The company gives a forecast on sales to the current

0:13:44.920 --> 0:13:47.560
<v Speaker 5>quarter that even at the low end, man deep is

0:13:47.600 --> 0:13:55.920
<v Speaker 5>pretty good and then or sorry, Natalie, and then tells investors, actually,

0:13:55.920 --> 0:13:58.000
<v Speaker 5>things aren't going to be that good, and then tells

0:13:58.000 --> 0:14:01.320
<v Speaker 5>investors We're going to be different company in the future

0:14:01.360 --> 0:14:04.280
<v Speaker 5>that does other things with the parties and AI summarize

0:14:04.320 --> 0:14:05.160
<v Speaker 5>that story for us.

0:14:05.679 --> 0:14:09.199
<v Speaker 7>Right. A lot of this is what Brian Chesky has

0:14:09.240 --> 0:14:12.080
<v Speaker 7>talked about being at an inflection point at the company

0:14:13.000 --> 0:14:16.120
<v Speaker 7>that sort of the post pandemic travel trends, the post

0:14:16.200 --> 0:14:19.280
<v Speaker 7>pandemic boom has sort of faded, and that's kind of

0:14:19.280 --> 0:14:22.120
<v Speaker 7>shown up in the financial performance. Growth isn't as strong

0:14:22.200 --> 0:14:25.720
<v Speaker 7>as coming out of Omicron last year, and at the

0:14:25.720 --> 0:14:29.440
<v Speaker 7>same time they've sort of cleaned up their apps and

0:14:29.560 --> 0:14:33.880
<v Speaker 7>services a bit kind of encouraging more hosts to bring

0:14:33.960 --> 0:14:37.160
<v Speaker 7>down some of the cleaning fees and encouraging more people

0:14:37.160 --> 0:14:39.680
<v Speaker 7>to host, getting more users on the platform to make

0:14:39.720 --> 0:14:42.200
<v Speaker 7>it more reliable. So he feels this is they are

0:14:42.240 --> 0:14:45.360
<v Speaker 7>at an inflection point to be able to expand beyond

0:14:45.600 --> 0:14:50.240
<v Speaker 7>that core hosting service, going back to before the pandemic,

0:14:50.440 --> 0:14:52.000
<v Speaker 7>more ambitious endeavors.

0:14:53.360 --> 0:14:56.840
<v Speaker 5>Okay, bloomberg'st Nasi lung Man Deep seeing of Bloomberg Intelligence,

0:14:56.880 --> 0:14:59.520
<v Speaker 5>great analysis of a big week in the gig economy

0:14:59.560 --> 0:15:01.160
<v Speaker 5>are coming up here on the program. We're going to

0:15:01.160 --> 0:15:05.120
<v Speaker 5>get into Acamai's fourth quarter numbers with their CEO, Tom Layton.

0:15:05.320 --> 0:15:07.040
<v Speaker 4>Caroline more stocks to watch.

0:15:07.480 --> 0:15:10.040
<v Speaker 3>Yeah, Instacart under pressure as we were just looking at

0:15:10.080 --> 0:15:12.320
<v Speaker 3>a moment ago. Now this is as it falls on

0:15:12.360 --> 0:15:12.960
<v Speaker 3>its fourth.

0:15:12.760 --> 0:15:13.600
<v Speaker 4>Quarter revenue miss.

0:15:13.680 --> 0:15:18.160
<v Speaker 3>They're also cutting jobs at the company, restructuring. Heading pretty

0:15:18.240 --> 0:15:20.680
<v Speaker 3>much at a pivotal moment for this particular company. We've

0:15:20.880 --> 0:15:22.920
<v Speaker 3>seen the share price under pressure. As you can see

0:15:22.920 --> 0:15:25.760
<v Speaker 3>over interur day it's almost down some ten percent. Mark

0:15:25.800 --> 0:15:27.760
<v Speaker 3>Kelly of rit steph for example, saying it's a mixed

0:15:27.800 --> 0:15:30.120
<v Speaker 3>fourth quarter results, a miss on the top line, but

0:15:30.320 --> 0:15:32.040
<v Speaker 3>better gross transaction value.

0:15:32.040 --> 0:15:32.960
<v Speaker 4>And a bit dart.

0:15:33.280 --> 0:15:35.760
<v Speaker 3>But this is a company that's once again having to

0:15:35.840 --> 0:15:38.920
<v Speaker 3>belt titan as they cut costs, and that means people

0:15:39.440 --> 0:15:42.240
<v Speaker 3>from New York, from San Francisco. This is Blomberg Technology.

0:15:49.720 --> 0:15:51.280
<v Speaker 3>Let's just take a look at Achami shares at the

0:15:51.280 --> 0:15:54.280
<v Speaker 3>moment under pressure. This is after the company, the infrastructure

0:15:54.320 --> 0:15:57.160
<v Speaker 3>software company reported fourth quarter results and look, it was

0:15:57.320 --> 0:16:00.320
<v Speaker 3>relatively mixed is what the street is interpreting. Maybe a

0:16:00.360 --> 0:16:02.800
<v Speaker 3>little bit cool and then expected an injusted and things

0:16:02.800 --> 0:16:03.200
<v Speaker 3>for share.

0:16:03.640 --> 0:16:06.760
<v Speaker 6>They did indeed beat some expectations. We're going to walk

0:16:06.800 --> 0:16:07.440
<v Speaker 6>through the numbers.

0:16:07.720 --> 0:16:09.640
<v Speaker 3>CEO Tom Naton is with us on piece to say,

0:16:09.640 --> 0:16:12.600
<v Speaker 3>and just getting back to the mixed results. Weakness in

0:16:12.760 --> 0:16:16.280
<v Speaker 3>core content delivery network that part of the business. What

0:16:16.480 --> 0:16:21.960
<v Speaker 3>drove that weakness? Is there going to be some recovery, Tom.

0:16:21.120 --> 0:16:24.800
<v Speaker 10>Yeah, you know, we're the largest content delivery provider by

0:16:24.920 --> 0:16:29.280
<v Speaker 10>far and very important business for us. But today most

0:16:29.320 --> 0:16:33.640
<v Speaker 10>of our revenue is now security performing very well, growing

0:16:33.640 --> 0:16:34.720
<v Speaker 10>in the mid teens.

0:16:35.160 --> 0:16:37.600
<v Speaker 1>And compute, which is a really.

0:16:37.280 --> 0:16:41.680
<v Speaker 10>Exciting area for US, did very well, reached half a

0:16:41.680 --> 0:16:45.720
<v Speaker 10>billion dollars last year with strong growth forecasted for this year.

0:16:46.600 --> 0:16:50.360
<v Speaker 10>So delivery important, great business market leader by far.

0:16:50.760 --> 0:16:52.200
<v Speaker 1>You know, pricing pressure there.

0:16:52.280 --> 0:16:55.400
<v Speaker 10>It's a business we've been in really created twenty five

0:16:55.480 --> 0:16:59.320
<v Speaker 10>years ago, so there is some pricing pressure there. But

0:16:59.440 --> 0:17:03.000
<v Speaker 10>the exciting I think things about Akamai would be the

0:17:03.080 --> 0:17:06.720
<v Speaker 10>security business and the compute business, which is now approaching

0:17:06.720 --> 0:17:08.160
<v Speaker 10>about two thirds of our revenue.

0:17:09.080 --> 0:17:12.359
<v Speaker 5>So the compute business is posting pretty solid top line growth.

0:17:12.359 --> 0:17:15.040
<v Speaker 5>But what are we talking about that on the market

0:17:15.040 --> 0:17:17.879
<v Speaker 5>for compute. Who are the customers you're serving and what

0:17:17.960 --> 0:17:18.800
<v Speaker 5>is it that you offer?

0:17:20.400 --> 0:17:24.080
<v Speaker 10>Yeah, the compute marketplace is enormous, you know today it's

0:17:24.280 --> 0:17:27.400
<v Speaker 10>well north of one hundred billion dollars and growing rapidly.

0:17:28.440 --> 0:17:33.119
<v Speaker 10>And what Akamai is doing is bringing compute support for VMS,

0:17:33.280 --> 0:17:35.640
<v Speaker 10>for containers, for Kubernetes to.

0:17:35.720 --> 0:17:37.879
<v Speaker 1>The edge and really the edge.

0:17:38.520 --> 0:17:38.720
<v Speaker 7>You know.

0:17:38.760 --> 0:17:40.600
<v Speaker 10>Our goal is by the end of this year to

0:17:40.640 --> 0:17:44.520
<v Speaker 10>be supporting compute full stack compute in one hundred cities

0:17:44.520 --> 0:17:48.080
<v Speaker 10>around the world, which nobody else does today, and that

0:17:48.160 --> 0:17:52.560
<v Speaker 10>will give us a better performance, better scalability, and also

0:17:52.640 --> 0:17:56.440
<v Speaker 10>because we can take advantage of our existing delivery platform,

0:17:56.480 --> 0:18:00.560
<v Speaker 10>which is in four thousand locations, better economics so that

0:18:01.040 --> 0:18:04.720
<v Speaker 10>our customers can get better performing compute for their applications

0:18:04.760 --> 0:18:08.920
<v Speaker 10>at a lower price point, and.

0:18:10.600 --> 0:18:15.280
<v Speaker 5>Structurally, Tom, when you look about your business, where are

0:18:15.359 --> 0:18:18.639
<v Speaker 5>you growing the most? Internally, we've talked about this idea

0:18:18.760 --> 0:18:22.520
<v Speaker 5>that companies have had to reduce cost and then reallocate

0:18:22.600 --> 0:18:27.320
<v Speaker 5>either talents or simply dollars because there are different speeds

0:18:27.359 --> 0:18:30.199
<v Speaker 5>happening within their business lines. That's exactly what's happening with you,

0:18:30.680 --> 0:18:32.359
<v Speaker 5>and I wondered how you've responded to that.

0:18:33.840 --> 0:18:36.879
<v Speaker 10>Yes, so we have shifted a lot of the resources

0:18:36.920 --> 0:18:41.800
<v Speaker 10>an investment from the delivery side of the house into

0:18:42.080 --> 0:18:46.560
<v Speaker 10>compute and also security, and so you see that reflected

0:18:46.640 --> 0:18:50.480
<v Speaker 10>our numbers with the very strong growth in security and compute,

0:18:50.760 --> 0:18:52.160
<v Speaker 10>very good profitability.

0:18:52.520 --> 0:18:54.080
<v Speaker 1>And we've been able to do that.

0:18:54.000 --> 0:18:57.800
<v Speaker 10>Investment because we have shifted a lot of resources from

0:18:57.880 --> 0:18:58.879
<v Speaker 10>the delivery side.

0:18:59.040 --> 0:19:00.600
<v Speaker 1>Also, we're now big.

0:19:00.480 --> 0:19:03.720
<v Speaker 10>Users of our own compute platform for our own applications

0:19:04.160 --> 0:19:06.920
<v Speaker 10>and that is saving us a lot of money which

0:19:06.960 --> 0:19:10.320
<v Speaker 10>we then plow back into development of new capabilities to

0:19:10.400 --> 0:19:11.400
<v Speaker 10>drive future growth.

0:19:12.320 --> 0:19:15.080
<v Speaker 3>It's interesting that some analysts note that the Bears are

0:19:15.080 --> 0:19:18.280
<v Speaker 3>going to fixate on inline fourth quarter revenues shaping up

0:19:18.280 --> 0:19:20.720
<v Speaker 3>a surprise as you mentioned with the compute beat, but

0:19:21.080 --> 0:19:24.600
<v Speaker 3>ultimately the offset in the delivery and they seem to say,

0:19:24.600 --> 0:19:29.119
<v Speaker 3>this is elusiveness of delivery stability. Can you guide us

0:19:29.119 --> 0:19:31.439
<v Speaker 3>as to when and where we will start to see

0:19:32.000 --> 0:19:34.800
<v Speaker 3>ultimately stability. You talk about the pricing pressure, but what

0:19:34.840 --> 0:19:38.520
<v Speaker 3>about the traffic load tom.

0:19:37.680 --> 0:19:41.440
<v Speaker 10>Traffic growth is a little bit higher this year than

0:19:41.440 --> 0:19:46.360
<v Speaker 10>it was last year, but still below historical pre pandemic norms.

0:19:46.920 --> 0:19:50.080
<v Speaker 10>And of course there's you know, continued price pressure, and

0:19:51.040 --> 0:19:54.440
<v Speaker 10>we're being more selective in the deals that we take.

0:19:55.040 --> 0:19:57.720
<v Speaker 10>So we have been you know, not taking on some

0:19:57.800 --> 0:20:00.640
<v Speaker 10>of the you know, the contracts and opportun unities there

0:20:00.680 --> 0:20:02.159
<v Speaker 10>where it's less profitable.

0:20:02.520 --> 0:20:04.840
<v Speaker 1>Others you know, can do that.

0:20:04.840 --> 0:20:08.680
<v Speaker 10>That helps our profitability and helps us move more investment

0:20:09.200 --> 0:20:12.119
<v Speaker 10>into security and compute, and so that's driving a little

0:20:12.119 --> 0:20:14.560
<v Speaker 10>of what you see with you know, the revenue on

0:20:14.600 --> 0:20:18.560
<v Speaker 10>the delivery side declining and the single digits. And really,

0:20:18.920 --> 0:20:22.399
<v Speaker 10>you know, our focus is on where we're doing Security,

0:20:22.440 --> 0:20:25.000
<v Speaker 10>which is a bigger product line growing in the mid teens,

0:20:25.520 --> 0:20:29.080
<v Speaker 10>and Compute, which has enormous potential growing at over twenty percent.

0:20:29.760 --> 0:20:32.720
<v Speaker 10>So you'll see us continue to do that, and I

0:20:32.720 --> 0:20:36.680
<v Speaker 10>think the focus really shouldn't be on delivery, and in fact,

0:20:36.760 --> 0:20:39.840
<v Speaker 10>as a result of the continued shift into security and

0:20:39.880 --> 0:20:42.880
<v Speaker 10>compute for our revenue. You know, this year, our guidance

0:20:42.960 --> 0:20:46.400
<v Speaker 10>is they'll be accelerated overall top line growth for Akamai

0:20:46.520 --> 0:20:49.000
<v Speaker 10>and continued strong bottom line growth.

0:20:49.520 --> 0:20:51.159
<v Speaker 3>We'll see when the ship I starts to fact to

0:20:51.160 --> 0:20:52.840
<v Speaker 3>that in a little bit more on the day, But

0:20:53.000 --> 0:20:54.840
<v Speaker 3>for now, we thank you so much. Tom Nathan has

0:20:54.840 --> 0:20:57.000
<v Speaker 3>always for joining us the CEO of Akamai.

0:20:57.280 --> 0:20:58.359
<v Speaker 6>Let's check in on these markets.

0:20:58.359 --> 0:21:01.600
<v Speaker 3>Book at airbnbed have seen or run up in their stock.

0:21:01.600 --> 0:21:03.000
<v Speaker 6>Maybe there's a little bit of profit taking.

0:21:03.119 --> 0:21:05.120
<v Speaker 3>Maybe this is also the fact that they are still

0:21:05.160 --> 0:21:07.520
<v Speaker 3>posting growth, but they're showing maybe a little bit of

0:21:07.520 --> 0:21:09.640
<v Speaker 3>a downdraft or a cooling in momentum when it comes

0:21:09.680 --> 0:21:12.120
<v Speaker 3>to overall room rates growth, as was pointing out by Bi.

0:21:12.240 --> 0:21:14.400
<v Speaker 3>But what's notable is this as a company that's really

0:21:14.400 --> 0:21:16.760
<v Speaker 3>starting to rely on AI, particularly when it comes to

0:21:16.760 --> 0:21:19.520
<v Speaker 3>customer service. They're investing in particular there to improve the

0:21:19.520 --> 0:21:21.240
<v Speaker 3>customer experience, and that's what we're going to be digging

0:21:21.280 --> 0:21:22.320
<v Speaker 3>into a little bit more now.

0:21:23.200 --> 0:21:28.080
<v Speaker 5>That was the Brian Chesky message, transforming customer service using AI.

0:21:28.359 --> 0:21:32.040
<v Speaker 5>What about transforming customer service with conversational AI. That's the

0:21:32.040 --> 0:21:35.560
<v Speaker 5>promise of Sierra. It's the latest venture from former Salesforce

0:21:35.600 --> 0:21:38.639
<v Speaker 5>co CEO Brett Taylor, of course, also the chair of

0:21:38.720 --> 0:21:42.840
<v Speaker 5>Open Ai and former Google employee Clay Before Sierra is

0:21:42.880 --> 0:21:46.800
<v Speaker 5>an AI agent which mirrors the nuances of human communication,

0:21:46.880 --> 0:21:51.560
<v Speaker 5>but it's also empowered to take action to solve customers problems.

0:21:51.560 --> 0:21:54.080
<v Speaker 5>Delighted to say that Sierra's co founder is Breton Clay

0:21:54.240 --> 0:21:55.400
<v Speaker 5>are here with us in San Francisco.

0:21:55.440 --> 0:21:57.880
<v Speaker 4>So Brett's start with you. I've been wondering a little

0:21:57.880 --> 0:21:58.719
<v Speaker 4>while what you've been up to.

0:21:59.400 --> 0:22:02.280
<v Speaker 5>You raise some money and stealth for Sierra. You've come

0:22:02.320 --> 0:22:05.440
<v Speaker 5>out as stealth, and you want to do something that's

0:22:05.440 --> 0:22:07.919
<v Speaker 5>been talked about a bit in recent months, introduce an

0:22:07.960 --> 0:22:08.600
<v Speaker 5>AI agent.

0:22:09.440 --> 0:22:11.840
<v Speaker 8>Yeah, we're really excited about this. You know, when you

0:22:11.960 --> 0:22:15.320
<v Speaker 8>leave your job, especially jobs like we have, you want

0:22:15.320 --> 0:22:17.600
<v Speaker 8>to go towards a big vision and from Clay in

0:22:17.640 --> 0:22:21.040
<v Speaker 8>our perspective, conversational AI, I think is perhaps the most

0:22:21.080 --> 0:22:25.480
<v Speaker 8>important consumer technology trend of a generation when you look

0:22:25.520 --> 0:22:27.879
<v Speaker 8>at it. The advent of the Internet and how it

0:22:27.920 --> 0:22:32.119
<v Speaker 8>impacted company's ability to interact with their customers digitally, the

0:22:32.119 --> 0:22:35.320
<v Speaker 8>birth of the smartphone, we think conversational AI is on

0:22:35.359 --> 0:22:38.080
<v Speaker 8>par with those, and candidly, I think every company is

0:22:38.119 --> 0:22:40.680
<v Speaker 8>going to need their own AI agent. That's going to

0:22:40.720 --> 0:22:43.159
<v Speaker 8>be the way you interact with your customers, and I

0:22:43.160 --> 0:22:45.040
<v Speaker 8>think it will be as important as your mobile app,

0:22:45.080 --> 0:22:47.119
<v Speaker 8>as important as your website in just a few years.

0:22:47.280 --> 0:22:51.760
<v Speaker 5>Clay you raise some money, will two separate rounds, but essentially,

0:22:52.680 --> 0:22:55.199
<v Speaker 5>I want to know how you guys got together. Interesting

0:22:55.480 --> 0:22:58.280
<v Speaker 5>careers you've both had so far, whose idea.

0:22:58.119 --> 0:23:00.800
<v Speaker 4>Was it and why are you working together on this company.

0:23:01.000 --> 0:23:03.119
<v Speaker 11>Brett and I have actually known each other for almost

0:23:03.160 --> 0:23:05.480
<v Speaker 11>twenty years. We met in our early days at Google,

0:23:05.520 --> 0:23:08.400
<v Speaker 11>where we started our careers and have kept in touch

0:23:08.480 --> 0:23:12.560
<v Speaker 11>ever since. And Brett and I both saw this wave

0:23:12.880 --> 0:23:17.240
<v Speaker 11>of technology change and we're so excited about the potential

0:23:17.640 --> 0:23:21.600
<v Speaker 11>in large language models and recent advances in AI and

0:23:21.920 --> 0:23:24.760
<v Speaker 11>got together just over a year ago over lunch actually

0:23:25.200 --> 0:23:28.080
<v Speaker 11>and kind of hatched early plans there. And I think,

0:23:28.240 --> 0:23:30.560
<v Speaker 11>like with most things we do, the idea came from

0:23:30.640 --> 0:23:34.280
<v Speaker 11>us both, and we worked over the past almost eleven

0:23:34.320 --> 0:23:37.639
<v Speaker 11>months to really discover and refine it, including with a

0:23:37.720 --> 0:23:40.800
<v Speaker 11>number of what we call design partners early pilot customers

0:23:40.840 --> 0:23:42.840
<v Speaker 11>who have helped us shape the platform and the idea.

0:23:43.160 --> 0:23:47.440
<v Speaker 3>Clay talk about that refining hallucinations. What are the key

0:23:47.520 --> 0:23:49.840
<v Speaker 3>concern and maybe limitations in the here and the nower

0:23:49.840 --> 0:23:52.960
<v Speaker 3>of generative AI more broadly and chat bolts in a

0:23:53.000 --> 0:23:56.959
<v Speaker 3>generative AI form. What are you seeing Clay about improvements

0:23:56.960 --> 0:23:57.199
<v Speaker 3>in that?

0:23:58.600 --> 0:23:59.320
<v Speaker 1>Well, first of.

0:23:59.320 --> 0:24:02.920
<v Speaker 11>All, I think what we've built with Sierra and conversational

0:24:02.920 --> 0:24:05.480
<v Speaker 11>AI goes far beyond what I think most people will

0:24:05.480 --> 0:24:08.960
<v Speaker 11>have experienced with chatbots. I think if you pulled Bloomberg

0:24:09.040 --> 0:24:12.680
<v Speaker 11>readers and watchers, do they like chatbots that you use

0:24:12.800 --> 0:24:15.840
<v Speaker 11>embedded on websites today? Probably zero of one hundred would

0:24:15.840 --> 0:24:18.320
<v Speaker 11>say yes. But if you pulled those same hundred people

0:24:18.359 --> 0:24:21.040
<v Speaker 11>and asked do you like talking with chat GPT, maybe

0:24:21.040 --> 0:24:22.320
<v Speaker 11>one hundred would say yes.

0:24:22.680 --> 0:24:24.600
<v Speaker 1>And so the technology.

0:24:23.960 --> 0:24:28.080
<v Speaker 11>Underlying Sierra and our AI agents really fundamentally didn't exist

0:24:28.440 --> 0:24:30.560
<v Speaker 11>much more than a year ago. And so we've built

0:24:30.600 --> 0:24:34.480
<v Speaker 11>Sierra and the platform on this fundamentally new technology. As

0:24:34.480 --> 0:24:38.040
<v Speaker 11>for hallucinations, it's a really important issue. And as you know,

0:24:38.240 --> 0:24:41.800
<v Speaker 11>AI is fundamentally non deterministic and using a large language

0:24:41.840 --> 0:24:44.960
<v Speaker 11>model on its own, you can't guarantee what it will output.

0:24:45.080 --> 0:24:46.399
<v Speaker 4>So we've taken a multi.

0:24:46.200 --> 0:24:51.000
<v Speaker 11>Layered approach to security, starting with very strict security protocols

0:24:51.000 --> 0:24:55.080
<v Speaker 11>around whenever our AI agents are taking action and using systems,

0:24:55.359 --> 0:24:59.280
<v Speaker 11>those are done completely deterministically. We also imbue our agents

0:24:59.280 --> 0:25:02.280
<v Speaker 11>with knowledge invited to us by our customers, and have

0:25:02.440 --> 0:25:07.280
<v Speaker 11>multiple layers of supervision and oversight, including advanced auditing and

0:25:07.320 --> 0:25:09.440
<v Speaker 11>inspection tools for our customers to use.

0:25:10.040 --> 0:25:14.719
<v Speaker 3>It's interesting that Brett, we just had Clay reference chat GPT,

0:25:14.880 --> 0:25:16.840
<v Speaker 3>and of course you are the chair of the board

0:25:16.880 --> 0:25:17.400
<v Speaker 3>of open Ai.

0:25:18.160 --> 0:25:19.640
<v Speaker 4>I'm really interested in.

0:25:19.840 --> 0:25:23.040
<v Speaker 3>When you're building another generative AI company that might well

0:25:23.080 --> 0:25:25.760
<v Speaker 3>also be seen as a competitor, how you think about

0:25:25.800 --> 0:25:28.320
<v Speaker 3>that from an ethical perspective.

0:25:30.000 --> 0:25:32.640
<v Speaker 8>Well, first, I really don't think open ai and Sierra

0:25:32.800 --> 0:25:35.320
<v Speaker 8>are competitive. I think I think we'll look back at

0:25:35.320 --> 0:25:36.720
<v Speaker 8>this here and it would be sort of like saying

0:25:36.720 --> 0:25:39.479
<v Speaker 8>you're an Internet company today. It doesn't make sense because

0:25:39.800 --> 0:25:42.920
<v Speaker 8>the Internet permeates every business and every decision we make,

0:25:42.960 --> 0:25:45.639
<v Speaker 8>and I think AI will have a similar impact, and

0:25:46.000 --> 0:25:47.760
<v Speaker 8>we exist at a sort of a different layer of

0:25:47.800 --> 0:25:50.399
<v Speaker 8>the stack where customers of open ai, in addition to

0:25:50.440 --> 0:25:54.160
<v Speaker 8>a number of other foundation models, and obviously at open

0:25:54.280 --> 0:25:57.760
<v Speaker 8>I operated more of a governance role not an operational role,

0:25:57.800 --> 0:26:00.960
<v Speaker 8>and certainly if there's ever an opportunity for conflict, I'd

0:26:00.960 --> 0:26:04.240
<v Speaker 8>simply recuse myself. And I can say I'm really grateful

0:26:04.320 --> 0:26:06.919
<v Speaker 8>to be a part of Opening Eye. I joined that

0:26:07.000 --> 0:26:11.320
<v Speaker 8>board and a story that you covered extensively, and I

0:26:11.359 --> 0:26:13.639
<v Speaker 8>think the mission is more important than ever before, and

0:26:13.960 --> 0:26:15.560
<v Speaker 8>I'm grateful to be a part of that mission.

0:26:15.840 --> 0:26:18.320
<v Speaker 5>Clay, one of the things I've learned in my reporting

0:26:18.359 --> 0:26:21.440
<v Speaker 5>of open ai is that the cap table is complicated

0:26:21.480 --> 0:26:26.480
<v Speaker 5>and important, but actually access to compute and your strategic

0:26:26.520 --> 0:26:29.800
<v Speaker 5>partners are equally as important, if not more. What is

0:26:29.840 --> 0:26:35.480
<v Speaker 5>Sierra done in its access to AI accelerators on that

0:26:36.080 --> 0:26:39.600
<v Speaker 5>end of the spectrum, but also what are your relationships

0:26:39.600 --> 0:26:43.040
<v Speaker 5>with the hyperscalers and your talent base as well well.

0:26:43.080 --> 0:26:45.639
<v Speaker 11>First of all, the technology approach that we use to

0:26:45.640 --> 0:26:50.040
<v Speaker 11>building SERRA agents is what's called an autonomous AI agent architecture,

0:26:50.440 --> 0:26:52.479
<v Speaker 11>and what we do is, rather than relying on a

0:26:52.520 --> 0:26:55.800
<v Speaker 11>single model, any action that the agent takes might rely

0:26:55.920 --> 0:26:59.280
<v Speaker 11>on five or six different models for different tasks, reasoning,

0:26:59.359 --> 0:27:04.280
<v Speaker 11>decision planning, generating responses and more, and so we actually

0:27:04.440 --> 0:27:08.040
<v Speaker 11>use a constellation of models. We currently work with open

0:27:08.080 --> 0:27:12.119
<v Speaker 11>AIY we work with Azure, Cognitive Services and others on

0:27:12.160 --> 0:27:15.480
<v Speaker 11>our cloud infrastructure. In our model providers, we generally rely

0:27:15.600 --> 0:27:19.639
<v Speaker 11>on them to provision and provide the underlying hardware that

0:27:19.680 --> 0:27:22.439
<v Speaker 11>we scale through. So we're a step removed from it,

0:27:22.480 --> 0:27:25.600
<v Speaker 11>but it's always on our mind, and we've taken multiple

0:27:25.640 --> 0:27:28.240
<v Speaker 11>steps to ensure that we can plan for capacity and

0:27:28.359 --> 0:27:29.040
<v Speaker 11>use and so on.

0:27:29.760 --> 0:27:31.960
<v Speaker 5>Brett, if you don't mind, I'd like to linger on

0:27:32.000 --> 0:27:35.320
<v Speaker 5>your CV a bit, because what's happened in the last

0:27:35.359 --> 0:27:39.160
<v Speaker 5>twelve months is extraordinary. You have companies like yours coming

0:27:39.200 --> 0:27:43.760
<v Speaker 5>out of stealth raising vast amounts of money. You said that,

0:27:44.119 --> 0:27:47.000
<v Speaker 5>Clay said you'd put this together in eleven months. But

0:27:47.320 --> 0:27:50.800
<v Speaker 5>I just want to understand how this process compares to

0:27:50.840 --> 0:27:53.919
<v Speaker 5>your time at Salesforce, the earlier days at Google in

0:27:54.000 --> 0:27:56.639
<v Speaker 5>eleven months. How big is your team grown to? Is

0:27:56.680 --> 0:27:59.440
<v Speaker 5>it just the two of you in a garage somewhere?

0:27:59.440 --> 0:27:59.600
<v Speaker 10>You know.

0:28:00.000 --> 0:28:02.040
<v Speaker 5>I think people don't really have a great sense of

0:28:02.080 --> 0:28:05.520
<v Speaker 5>what building a startup that rapidly is, Like, well, I've.

0:28:05.359 --> 0:28:09.080
<v Speaker 8>Gone from eighty thousand employees to thirty and it's been delightful.

0:28:09.160 --> 0:28:11.800
<v Speaker 8>And actually, let me just contextualize it in sort of

0:28:11.880 --> 0:28:14.560
<v Speaker 8>the story of Silicon Valley. If you look at the

0:28:14.640 --> 0:28:19.399
<v Speaker 8>previous significant technology waves, the growth of the Internet in

0:28:19.440 --> 0:28:22.119
<v Speaker 8>the late nineties, the growth of the smartphone, and the

0:28:22.160 --> 0:28:27.280
<v Speaker 8>twenty tens, those periods coincide with many startups that start

0:28:27.320 --> 0:28:31.240
<v Speaker 8>then that become formidable companies. Our two predecessors, Salesforce and

0:28:31.240 --> 0:28:33.440
<v Speaker 8>Google were born in the birth of the web browser.

0:28:33.920 --> 0:28:36.240
<v Speaker 8>Companies like Uber and Lyft that you were just speaking

0:28:36.320 --> 0:28:39.560
<v Speaker 8>about came to exist because of the birth of the smartphone.

0:28:39.760 --> 0:28:43.160
<v Speaker 8>So in these moments where there's a significant new technology

0:28:43.200 --> 0:28:47.080
<v Speaker 8>trend that means new consumer behaviors, new technology models, often

0:28:47.160 --> 0:28:51.000
<v Speaker 8>new business models, there's really an opportunity for startups to compete. Again,

0:28:51.280 --> 0:28:53.360
<v Speaker 8>there's a great Steve Jobs quote that it's more fun

0:28:53.360 --> 0:28:54.680
<v Speaker 8>to be a pirate than it is to be in

0:28:54.680 --> 0:28:58.040
<v Speaker 8>the Navy. And there's these moments in Silicon Valley history

0:28:58.080 --> 0:29:01.280
<v Speaker 8>where you have an opportunity a smaller company where your

0:29:01.320 --> 0:29:04.400
<v Speaker 8>agility and your ability to have that unique market perspective

0:29:04.680 --> 0:29:07.920
<v Speaker 8>is an advantage. It doesn't mean that incumbents don't have advantages,

0:29:08.200 --> 0:29:10.120
<v Speaker 8>but it's a fun time to be a startup right now,

0:29:10.160 --> 0:29:12.200
<v Speaker 8>and because no one knows what the future of this

0:29:12.280 --> 0:29:16.000
<v Speaker 8>technology will bring and we have an opportunity to define it, Clay.

0:29:15.760 --> 0:29:19.200
<v Speaker 3>There are other startups doing this, and I think of forethought,

0:29:19.280 --> 0:29:22.000
<v Speaker 3>I think of Aida, and I think of ultimately what

0:29:22.080 --> 0:29:24.720
<v Speaker 3>holds back and what you're having to do is to

0:29:24.760 --> 0:29:28.800
<v Speaker 3>connect with other enterprise systems. I've been talking to Kaifu Lee,

0:29:28.840 --> 0:29:32.840
<v Speaker 3>for example, yesterday, who's saying agents personal agents sound like

0:29:32.880 --> 0:29:35.000
<v Speaker 3>they're going to be really easy to orchestrate, but they're

0:29:35.040 --> 0:29:37.200
<v Speaker 3>not because there's going to be pushed back from incumbents.

0:29:37.280 --> 0:29:40.200
<v Speaker 3>How much pushback have you felt, how much of enterprise

0:29:40.240 --> 0:29:44.880
<v Speaker 3>systems and other big companies already playing in the enterprise

0:29:44.920 --> 0:29:48.560
<v Speaker 3>space been willing to allow a company agent to navigate

0:29:48.560 --> 0:29:49.400
<v Speaker 3>with them.

0:29:49.960 --> 0:29:52.680
<v Speaker 11>Well, first of all, we've had the privilege of working

0:29:52.680 --> 0:29:55.600
<v Speaker 11>with many leading consumer brands and actually developing the first

0:29:55.680 --> 0:29:59.800
<v Speaker 11>version of our platform, brands like weight Watchers, so nos Serious, XM,

0:30:00.080 --> 0:30:03.120
<v Speaker 11>and Olakai, and we've worked hand in hand with them

0:30:03.160 --> 0:30:06.640
<v Speaker 11>to develop our cr platform and the agent architecture to

0:30:06.720 --> 0:30:10.680
<v Speaker 11>make sure that it's trustworthy, that it can integrate seamlessly

0:30:10.760 --> 0:30:13.480
<v Speaker 11>and easily, and it's easy to deploy with their systems,

0:30:13.840 --> 0:30:16.440
<v Speaker 11>and that the experience it delivers for their customers is

0:30:16.480 --> 0:30:19.800
<v Speaker 11>really delightful. And so you're right. In order to have

0:30:19.920 --> 0:30:23.120
<v Speaker 11>these agents able to take action on behalf of your customers,

0:30:23.240 --> 0:30:25.720
<v Speaker 11>there is some work to do to integrate with systems

0:30:25.760 --> 0:30:28.880
<v Speaker 11>and your knowledge bases and so on. We're really proud

0:30:28.920 --> 0:30:31.120
<v Speaker 11>of how easy we've made that, and in fact, a

0:30:31.200 --> 0:30:33.959
<v Speaker 11>Serra agent can be deployed in just a matter of weeks.

0:30:34.560 --> 0:30:38.480
<v Speaker 5>Our colleague Katie Ruth broke the story about your fundraises

0:30:38.600 --> 0:30:42.959
<v Speaker 5>and the near evaluation of a billion dollars. What justifies

0:30:43.080 --> 0:30:46.760
<v Speaker 5>those numbers? You know, you kind of tease some of

0:30:46.760 --> 0:30:49.600
<v Speaker 5>the customers that you worked with in the development process.

0:30:49.880 --> 0:30:55.040
<v Speaker 5>We mentioned Airbnb has an ambition to integrate agents, I

0:30:55.080 --> 0:30:58.040
<v Speaker 5>suppose into their customer service offering. Who are you talking to?

0:30:58.400 --> 0:31:01.040
<v Speaker 5>You know, how quickly do you come magialize this spreap?

0:31:01.560 --> 0:31:04.360
<v Speaker 8>Well, Number one, we're really focused on our customers. We're

0:31:04.400 --> 0:31:07.160
<v Speaker 8>really focused on the largest consumer brands. SOHO I think

0:31:07.160 --> 0:31:10.200
<v Speaker 8>would benefit the most from this conversationally, I think they'll

0:31:10.480 --> 0:31:14.040
<v Speaker 8>save the most and operating expenses, not just retailers. If

0:31:14.040 --> 0:31:19.240
<v Speaker 8>you think we've partnered with media companies, all subscription services, airlines,

0:31:19.360 --> 0:31:23.360
<v Speaker 8>travel companies. We think there's really broad consumer categories that

0:31:23.440 --> 0:31:26.600
<v Speaker 8>can benefit from this and as Clay said, the unique

0:31:26.600 --> 0:31:29.680
<v Speaker 8>requirements of these larger enterprises, I think here is uniquely

0:31:29.720 --> 0:31:32.480
<v Speaker 8>able to handle. You talk about valuations. You know, it's

0:31:32.480 --> 0:31:34.280
<v Speaker 8>funny you talk about the dot com bubble, and I

0:31:34.320 --> 0:31:36.280
<v Speaker 8>think a lot of people think of pets, dot com

0:31:36.280 --> 0:31:38.440
<v Speaker 8>and web fits. If you could go back in time

0:31:38.520 --> 0:31:40.840
<v Speaker 8>and buy an index fund of all of those dot

0:31:40.880 --> 0:31:44.200
<v Speaker 8>com companies, you'd also get Amazon, You'd also get Google,

0:31:44.240 --> 0:31:47.400
<v Speaker 8>you'd get eBay, you'd get PayPal, and you probably would

0:31:47.480 --> 0:31:50.280
<v Speaker 8>make a ton. I think, as you're looking at investment

0:31:50.360 --> 0:31:52.720
<v Speaker 8>right now, it's certainly frothy, it's certainly a bit of

0:31:52.760 --> 0:31:56.480
<v Speaker 8>an AI bubble. However, I think the thesis that out

0:31:56.520 --> 0:32:00.640
<v Speaker 8>of this AI wave will come many generational companies uniquely

0:32:00.680 --> 0:32:03.600
<v Speaker 8>built on this technology is probably true. So I think

0:32:03.640 --> 0:32:06.120
<v Speaker 8>it's probably both true that there's a lot of hype

0:32:06.400 --> 0:32:09.400
<v Speaker 8>and that this technology wave is going to fundamentally change

0:32:09.400 --> 0:32:12.360
<v Speaker 8>the way we interact with consumers and fundamentally change the

0:32:12.400 --> 0:32:14.000
<v Speaker 8>market of the technology economy.

0:32:14.320 --> 0:32:15.280
<v Speaker 4>And I think it's exciting.

0:32:15.640 --> 0:32:17.520
<v Speaker 8>So I think we have a lot of work to

0:32:17.560 --> 0:32:20.080
<v Speaker 8>do to justify the faith that our investors have in us,

0:32:20.120 --> 0:32:22.800
<v Speaker 8>and but I could not be more optimistic about the future.

0:32:22.960 --> 0:32:26.240
<v Speaker 5>Sierra co found in CEO Brett Taylor and co founder

0:32:26.280 --> 0:32:29.520
<v Speaker 5>Clay Before great conversation that was I guess a Silicon

0:32:29.560 --> 0:32:32.520
<v Speaker 5>Valley classic in the new era of Caroline and it.

0:32:32.720 --> 0:32:36.080
<v Speaker 3>Just while coming up, we'll talk about well, another classic

0:32:36.280 --> 0:32:39.800
<v Speaker 3>in the Silicon Valley area. Why Combinator's placing its bets

0:32:39.920 --> 0:32:41.960
<v Speaker 3>on perhaps some different areas at the moment. We're going

0:32:42.000 --> 0:32:44.320
<v Speaker 3>to talk about it all with Delton Coldwell, Managing director

0:32:44.360 --> 0:32:56.000
<v Speaker 3>over there at YC. This is Bluemo Technology on today's

0:32:56.080 --> 0:32:59.800
<v Speaker 3>VC Spotlight, Why Combinator. It's going a whole new request

0:32:59.880 --> 0:33:01.840
<v Speaker 3>for startups for you. The request, well, it's a bit

0:33:01.840 --> 0:33:04.200
<v Speaker 3>of a tradition at the firm, with each one laying

0:33:04.240 --> 0:33:07.680
<v Speaker 3>out some big ideas, some inspirations, some spaces basically that

0:33:07.720 --> 0:33:11.000
<v Speaker 3>they want well the entrepreneur to focus in on and

0:33:11.000 --> 0:33:13.280
<v Speaker 3>where they want their investments to back. The new list

0:33:13.320 --> 0:33:16.560
<v Speaker 3>includes twenty categories. We've got machine learning applied to robotics,

0:33:16.560 --> 0:33:19.480
<v Speaker 3>we got new defense technology, got climate tech. Let's bring

0:33:19.480 --> 0:33:22.600
<v Speaker 3>in y Combinator partner and Investments Managing Director Dalton Caldwell

0:33:22.760 --> 0:33:25.600
<v Speaker 3>for more on this and the inspiration. Let's take one,

0:33:25.640 --> 0:33:30.000
<v Speaker 3>for example, robotics. Now, the limitations are real world data.

0:33:30.040 --> 0:33:31.880
<v Speaker 3>We've got to go out there and understand how robotics

0:33:31.920 --> 0:33:33.600
<v Speaker 3>really interact with the real world. We've got a lot

0:33:33.600 --> 0:33:36.040
<v Speaker 3>of online data, we don't have that much real world data.

0:33:36.080 --> 0:33:39.360
<v Speaker 3>But what do you want to be anticipated and built here?

0:33:39.400 --> 0:33:40.440
<v Speaker 3>What are you looking to back?

0:33:41.640 --> 0:33:44.400
<v Speaker 12>Yeah, thanks much for having me. And to start off

0:33:44.920 --> 0:33:48.200
<v Speaker 12>the RFS, the Request for Startups has a rich history

0:33:48.200 --> 0:33:51.560
<v Speaker 12>at YS, and we put these out honestly kind of

0:33:51.600 --> 0:33:54.520
<v Speaker 12>for fun. We put these out to inspire people to

0:33:55.120 --> 0:33:57.080
<v Speaker 12>be aware of the kind of ideas we want to fund.

0:33:57.240 --> 0:33:58.760
<v Speaker 4>So let's talk about robotics.

0:33:58.360 --> 0:33:59.760
<v Speaker 1>Which is the one you just asked me about.

0:34:00.640 --> 0:34:02.960
<v Speaker 12>Sometimes you'll see founders trying to come up with an

0:34:03.040 --> 0:34:06.080
<v Speaker 12>idea and they're not sure what investors want to fund,

0:34:06.760 --> 0:34:11.120
<v Speaker 12>and sometimes they're insecure or they're worried that maybe YC

0:34:11.320 --> 0:34:13.640
<v Speaker 12>doesn't want to fund a robotics startup. And so the

0:34:13.640 --> 0:34:16.360
<v Speaker 12>goal of this RFS and all these RFSs is just

0:34:16.400 --> 0:34:18.200
<v Speaker 12>to give a little bit of a window into our

0:34:18.239 --> 0:34:20.480
<v Speaker 12>brains of the sorts of startups that we'd love to

0:34:20.480 --> 0:34:23.080
<v Speaker 12>see apply that we're excited to see people apply with.

0:34:23.520 --> 0:34:24.960
<v Speaker 1>And you know, the.

0:34:24.920 --> 0:34:29.279
<v Speaker 12>Deep insights that's the founder's department about how exactly to

0:34:29.320 --> 0:34:32.239
<v Speaker 12>implement it. But the goal of putting out say again

0:34:32.280 --> 0:34:36.240
<v Speaker 12>this robotics one is to is to signal to people

0:34:36.280 --> 0:34:38.520
<v Speaker 12>that are curious if maybe they should apply to YC

0:34:38.680 --> 0:34:41.120
<v Speaker 12>with a robotics idea that yes, they definitely should.

0:34:41.920 --> 0:34:46.000
<v Speaker 5>Yeah right, Dalton does why Combinator still require Is it

0:34:46.040 --> 0:34:49.200
<v Speaker 5>still mandatory if you get into the summer or winter

0:34:49.320 --> 0:34:52.239
<v Speaker 5>class to be in person in San Francisco?

0:34:53.520 --> 0:34:55.120
<v Speaker 4>Yeah, yeah, we shure you.

0:34:55.160 --> 0:34:56.320
<v Speaker 1>It's an in person program.

0:34:56.840 --> 0:34:58.399
<v Speaker 12>All of our meetings with the founders are in person,

0:34:58.400 --> 0:35:01.200
<v Speaker 12>so yeah, that's right.

0:35:02.280 --> 0:35:05.719
<v Speaker 5>The reason I ask is that I have a documentary

0:35:05.760 --> 0:35:09.280
<v Speaker 5>coming soon called Cerebral Valley. Your friend and colleague Gary

0:35:09.280 --> 0:35:11.239
<v Speaker 5>Tanner is in it, and at the time we shot it,

0:35:11.320 --> 0:35:13.680
<v Speaker 5>you guys had around thirty five percent of that ben

0:35:13.760 --> 0:35:17.239
<v Speaker 5>class working in AI. And it looks at why there's

0:35:17.280 --> 0:35:20.560
<v Speaker 5>a really high concentration of talent coming to San Francisco.

0:35:21.200 --> 0:35:23.360
<v Speaker 4>What you're doing is kind of the opposite. You're the pool.

0:35:23.440 --> 0:35:27.240
<v Speaker 5>You're saying, come, you know, we want specifically people focused

0:35:27.239 --> 0:35:31.280
<v Speaker 5>in this area. But answer that question for me, why

0:35:31.440 --> 0:35:33.759
<v Speaker 5>is there such a high concentration of talent in these

0:35:33.800 --> 0:35:36.759
<v Speaker 5>areas already in San Francisco, Like nowhere else.

0:35:39.040 --> 0:35:42.440
<v Speaker 12>Well, look, I think there's a rich history of technology

0:35:42.600 --> 0:35:45.759
<v Speaker 12>being in the Bay Area. In fact, we've even put

0:35:45.800 --> 0:35:47.960
<v Speaker 12>out a video that myself and one of my colleagues,

0:35:48.000 --> 0:35:51.880
<v Speaker 12>Michael Isn't in specifically about whether a founder should consider

0:35:51.920 --> 0:35:53.400
<v Speaker 12>moving to the Bay Area or not and what the

0:35:53.400 --> 0:35:57.399
<v Speaker 12>pros and cons are, But to quickly summarize it, there's

0:35:57.480 --> 0:35:59.520
<v Speaker 12>network effects from all these things being here in the

0:35:59.520 --> 0:36:02.880
<v Speaker 12>fifties and sixties, the history of computing, and those network

0:36:02.920 --> 0:36:05.320
<v Speaker 12>effects still continue to pay off all these years later,

0:36:05.600 --> 0:36:08.200
<v Speaker 12>where the folks that worked at a prior generation of

0:36:08.239 --> 0:36:11.920
<v Speaker 12>companies tend to stay around, just like the folks that

0:36:11.960 --> 0:36:13.960
<v Speaker 12>are on the segment before me. You can see that

0:36:13.960 --> 0:36:16.200
<v Speaker 12>they've benefited tremendously from being in the Bay Area and

0:36:16.239 --> 0:36:17.040
<v Speaker 12>continue to do so.

0:36:17.800 --> 0:36:19.239
<v Speaker 4>And it sounds like they're choosing to.

0:36:19.200 --> 0:36:20.160
<v Speaker 1>Put their start up here too.

0:36:20.280 --> 0:36:22.840
<v Speaker 12>So you know, this isn't a new This isn't a

0:36:22.840 --> 0:36:23.520
<v Speaker 12>new phenomena.

0:36:23.560 --> 0:36:25.440
<v Speaker 1>I think this is going on a long time.

0:36:26.040 --> 0:36:28.360
<v Speaker 3>Let's go back to the inspiration in the areas that

0:36:28.400 --> 0:36:31.160
<v Speaker 3>you want to see things built, and space is another

0:36:31.200 --> 0:36:34.360
<v Speaker 3>one that you highlight. Maybe you would say that's not

0:36:34.440 --> 0:36:36.880
<v Speaker 3>dominated so much by the Bay Area. I think a

0:36:36.960 --> 0:36:39.200
<v Speaker 3>Leo Labs. It's over in Europe, and there's also some

0:36:39.320 --> 0:36:42.360
<v Speaker 3>other key space companies being built more broadly around the

0:36:42.480 --> 0:36:43.040
<v Speaker 3>United States.

0:36:43.080 --> 0:36:43.880
<v Speaker 6>But what do you want?

0:36:44.080 --> 0:36:46.600
<v Speaker 3>Where is the opportunity do you think to build in

0:36:46.600 --> 0:36:47.200
<v Speaker 3>space tech?

0:36:48.040 --> 0:36:49.280
<v Speaker 1>I think that's an excellent question.

0:36:49.800 --> 0:36:53.160
<v Speaker 12>The reason we put this RFS out was that I

0:36:53.160 --> 0:36:57.960
<v Speaker 12>think founders sometimes feel that space ideas are too ambitious,

0:36:58.440 --> 0:37:00.719
<v Speaker 12>or that maybe you know, they see the kind of

0:37:00.760 --> 0:37:04.239
<v Speaker 12>companies that are currently raising money. You know, this is

0:37:04.239 --> 0:37:06.000
<v Speaker 12>the naive algorithm A lot of founders do for what

0:37:06.000 --> 0:37:07.040
<v Speaker 12>start up idea to work on.

0:37:07.280 --> 0:37:08.080
<v Speaker 4>Is they go read.

0:37:07.960 --> 0:37:10.560
<v Speaker 12>Articles or you know, see TV segments on what raises

0:37:10.600 --> 0:37:12.520
<v Speaker 12>the most money, and they're like, I'll do that, but

0:37:12.560 --> 0:37:15.120
<v Speaker 12>with a tiny difference, a subtle difference, and then I'll

0:37:15.200 --> 0:37:15.720
<v Speaker 12>raise money.

0:37:16.360 --> 0:37:17.680
<v Speaker 1>And so we want to put out.

0:37:17.520 --> 0:37:20.919
<v Speaker 12>Things like space to inspire people that yes, we will

0:37:20.920 --> 0:37:24.000
<v Speaker 12>definitely fund space companies. We've had a lot of success

0:37:24.000 --> 0:37:27.720
<v Speaker 12>funding space companies such as Stoke Space and Relativity Space.

0:37:28.239 --> 0:37:32.200
<v Speaker 12>And there's this Moore's law type of effect happening on

0:37:32.280 --> 0:37:36.640
<v Speaker 12>how easy and cheap it is to get objects into space,

0:37:37.000 --> 0:37:39.080
<v Speaker 12>and the side off factor that we think is going

0:37:39.120 --> 0:37:42.760
<v Speaker 12>to be staggering similar to Moore's law affecting computing, similar

0:37:42.760 --> 0:37:44.320
<v Speaker 12>thing that we think is going to happen for space.

0:37:44.600 --> 0:37:46.360
<v Speaker 12>And so again we're just trying to signal to people

0:37:47.000 --> 0:37:49.920
<v Speaker 12>if you're considering doing a space startup, A, you know,

0:37:50.120 --> 0:37:51.960
<v Speaker 12>seems like a good idea, and B we would love

0:37:51.960 --> 0:37:53.560
<v Speaker 12>to see you apply to YC with that idea.

0:37:54.480 --> 0:37:57.600
<v Speaker 5>All right, y Combinator partner and Investments managing director, don't

0:37:57.680 --> 0:37:59.640
<v Speaker 5>in call world, good to catch up. Thank you for

0:37:59.680 --> 0:38:02.120
<v Speaker 5>your time sticking with Space. Actually it's some news crossing

0:38:02.160 --> 0:38:05.400
<v Speaker 5>the terminal this hour. Elon Musks Starlink has won a

0:38:05.480 --> 0:38:08.760
<v Speaker 5>license to operate in Israel and parts of the Gaza

0:38:08.800 --> 0:38:12.040
<v Speaker 5>Strip after agreeing to a series of measures that prevent

0:38:12.120 --> 0:38:15.560
<v Speaker 5>Hermas from getting access to its satellite internet services. I

0:38:15.560 --> 0:38:19.280
<v Speaker 5>think this story is important, and the use cases identified

0:38:19.640 --> 0:38:23.799
<v Speaker 5>are for example, in field hospitals and by Israeli government agencies.

0:38:23.840 --> 0:38:25.480
<v Speaker 4>But will continue to track that story.

0:38:25.840 --> 0:38:29.719
<v Speaker 13>All right, guys, So I finally tried Apple's Vision Pro,

0:38:30.239 --> 0:38:32.120
<v Speaker 13>and you know, I have to say that before this,

0:38:32.719 --> 0:38:35.400
<v Speaker 13>I expected that Quest would be the better value for

0:38:35.440 --> 0:38:37.560
<v Speaker 13>most people, since it's really good and it's like seven

0:38:37.600 --> 0:38:41.400
<v Speaker 13>times less expensive, But after using it, I don't just

0:38:41.440 --> 0:38:43.600
<v Speaker 13>think that quest is the better value. I think the

0:38:43.680 --> 0:38:45.240
<v Speaker 13>question is the better product period?

0:38:48.680 --> 0:38:51.919
<v Speaker 5>Meta CEO Mark Zuckerberg taking aim at the Vision Pro

0:38:52.360 --> 0:38:56.400
<v Speaker 5>with metas Quest three. Let's get right to Bloomberg's Mark German. Wow,

0:38:56.480 --> 0:39:00.040
<v Speaker 5>what a video. Interesting analysis from their side of the

0:39:00.040 --> 0:39:01.560
<v Speaker 5>the technological divide.

0:39:02.080 --> 0:39:02.720
<v Speaker 4>What was said?

0:39:04.760 --> 0:39:07.600
<v Speaker 14>Yeah, you know, Zuckerberg went right at the Vision Pro.

0:39:07.840 --> 0:39:11.840
<v Speaker 14>He talked about field of view. Oh, he talked about comfort,

0:39:12.120 --> 0:39:15.279
<v Speaker 14>he talked about pass through quality, he talked about the

0:39:15.320 --> 0:39:18.879
<v Speaker 14>resolution of the displays. He implied that the Vision Pro,

0:39:19.000 --> 0:39:22.840
<v Speaker 14>as we've discussed before, as an over engineered product where

0:39:22.880 --> 0:39:26.400
<v Speaker 14>they've put these extremely high resolution panels into the product,

0:39:26.719 --> 0:39:29.360
<v Speaker 14>bringing up the price. But what are the use cases

0:39:29.400 --> 0:39:31.680
<v Speaker 14>for that? And so I think he made a few

0:39:31.719 --> 0:39:34.520
<v Speaker 14>salient points. I think he did something that he had

0:39:34.560 --> 0:39:37.440
<v Speaker 14>to do. I think his review that he posted on

0:39:37.480 --> 0:39:41.319
<v Speaker 14>Instagram is really going to drum up sales of the metaquest.

0:39:41.480 --> 0:39:44.200
<v Speaker 14>I think this is going to help sell his product.

0:39:44.640 --> 0:39:47.560
<v Speaker 14>But that's the positive. On the other side, I think

0:39:47.680 --> 0:39:50.360
<v Speaker 14>a few years time, remember the Vision Pro is a

0:39:50.360 --> 0:39:53.120
<v Speaker 14>first generation product. In a few years time, I think

0:39:53.160 --> 0:39:55.600
<v Speaker 14>Apple's going to figure some stuff out. I think the

0:39:55.640 --> 0:39:57.359
<v Speaker 14>price is probably going to come down a little bit.

0:39:57.640 --> 0:40:00.399
<v Speaker 14>The comfort is going to improve the use. Since they're

0:40:00.440 --> 0:40:03.080
<v Speaker 14>going to improve, the app store will finally include some

0:40:03.160 --> 0:40:06.200
<v Speaker 14>interesting apps. And at that point people will be going

0:40:06.239 --> 0:40:08.640
<v Speaker 14>back and playing the Zuckerberg video and it won't look

0:40:08.680 --> 0:40:11.120
<v Speaker 14>so great. So I think for his sake, he should

0:40:11.120 --> 0:40:12.320
<v Speaker 14>have said he thinks it will improve.

0:40:12.320 --> 0:40:15.120
<v Speaker 6>In the few gentlemen, we thank you. This is Bloomberg Technology.