WEBVTT - Tesla Earnings Miss Despite Record Third-Quarter Sales Surge

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News. This is Bloomberg business Week,

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<v Speaker 1>as it happens. The Bloomberg Business Week Daily Podcast with

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<v Speaker 1>Carol Masser and Tim Stenebek on Bloomberg Radio.

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<v Speaker 2>Well back to Tesla shares down two percent in the

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<v Speaker 2>after hours. The company posted third quarter profit that fell

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<v Speaker 2>short of Wall Street's expectations despite record ev sales. I

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<v Speaker 2>want to bring back Ed Ludlow. He's the co host

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<v Speaker 2>of Bloomberg Tech, and also bring in Ross Gerber. He's

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<v Speaker 2>president and CEO of Gerber Kawasaki Wealth and Investment Management

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<v Speaker 2>got more than three billion dollars in assets under management.

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<v Speaker 2>He joins us from Santa Monica, California. Ross, you now

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<v Speaker 2>have about eighty million dollars of Tesla shares, down from

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<v Speaker 2>one hundred million earlier this year. At it, at your peak,

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<v Speaker 2>how much Tesla stock did you own?

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<v Speaker 3>I think we had about one and a half times

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<v Speaker 3>more than we have today.

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<v Speaker 4>So that's not that much more.

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<v Speaker 5>No, we've got our.

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<v Speaker 3>Positioned by sixty percent, So that's that's fairly large.

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<v Speaker 2>Are you Are you buying or selling today or buying

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<v Speaker 2>or selling right now?

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<v Speaker 5>Neither neither.

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<v Speaker 3>You know, you know Tesla as a hold for us.

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<v Speaker 3>You know, the people who are holding the stock at

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<v Speaker 3>our firm, our clients very much believe in Tesla and

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<v Speaker 3>don't want to let go of their shares at all.

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<v Speaker 3>And then you know, the clients that don't want to

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<v Speaker 3>own Tesla don't own Tesla anymore. But we're not recommending

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<v Speaker 3>to buy Tesla or per Se more likely recommending to

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<v Speaker 3>sell Tesla for investors up at these prices because you're

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<v Speaker 3>getting such a premium valuation. But in general, we've just

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<v Speaker 3>been holding the stock because you know, we're kind of

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<v Speaker 3>stuck with our position right now.

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<v Speaker 2>What about you, because we check in with you quarterly

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<v Speaker 2>and you've really changed your position on the company in

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<v Speaker 2>recent years in recent quarters and your position on Elon

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<v Speaker 2>Musk too.

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<v Speaker 4>Are you a believer in the company right now?

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<v Speaker 5>Yes, and no.

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<v Speaker 3>I still own Tesla's stock as well personally, not a lot,

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<v Speaker 3>but you know I like to have some because I

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<v Speaker 3>bought it at a dollar a share or a dollar fifty,

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<v Speaker 3>So it's like fun to have in my portfolio still.

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<v Speaker 3>But that said, you know, I don't know what's going

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<v Speaker 3>to happen with full self driving. I just don't think

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<v Speaker 3>it works, and I think vision only systems don't work.

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<v Speaker 3>And I'm very sure of this now. Even though I'm

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<v Speaker 3>not an engineer, I can explain to you how humans drive.

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<v Speaker 3>And I don't think Elon gets how humans work. I

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<v Speaker 3>think he gets how machines work. And so I think

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<v Speaker 3>that Tesla's in a pickle. If they can solve full

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<v Speaker 3>full self driving, like I could get in my car

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<v Speaker 3>right now and push a button and it drives me home,

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<v Speaker 3>Like I can get in a Weymo right now and

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<v Speaker 3>it'll drive me home no problem, then I think Tesla

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<v Speaker 3>has a reason to buy the stock because now they've

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<v Speaker 3>got their products working and they can grow from there.

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<v Speaker 3>But as far as waiting for robots and cabs to

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<v Speaker 3>pay off, it doesn't matter if full self driving doesn't work.

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<v Speaker 3>And full self driving doesn't work, so nothing's going to

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<v Speaker 3>get me excited about Tesla until it drives me home.

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<v Speaker 6>All right, good stuff, we're talking with Ross, Gerber and Ludlow.

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<v Speaker 6>I know you're reading over stuff. Come on into the

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<v Speaker 6>conversation with Roth.

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<v Speaker 7>Yeah, I mean, you know, just going through the deck.

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<v Speaker 7>The way that Tesla explains it is that they had

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<v Speaker 7>lower FSD revenue recognition in this quarter because of the

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<v Speaker 7>timing of previous generation releases of FSD in the same

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<v Speaker 7>period a year ago.

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<v Speaker 5>You know, I'm not a.

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<v Speaker 7>Tesla shareholder, as you guys know, but I do drive

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<v Speaker 7>a Model Y in fact, and I use FSD every

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<v Speaker 7>day for about sixty miles thirty miles to work, thirty

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<v Speaker 7>miles back. I'm not on version fourteen yet. But Ross

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<v Speaker 7>is speaking to the question, which is always there. Explain

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<v Speaker 7>the jump or the steps to the end result, the

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<v Speaker 7>end state. The end state is robotaxi, right if Tesla

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<v Speaker 7>is to be believed, And right now, you know, the

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<v Speaker 7>street seems kind of split on whether we understand how

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<v Speaker 7>we go from a software platform that consumers pay for

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<v Speaker 7>as a one offer a subscription package to a world

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<v Speaker 7>where the vehicles built on a common software platform or

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<v Speaker 7>iterations of that platform power a rope proprietary ride hailing

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<v Speaker 7>robotaxi service. You know, it's difficult to see the jump,

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<v Speaker 7>and Ross can speak for himself, but just in the reporting,

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<v Speaker 7>that's what we hear all the time.

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<v Speaker 3>Yeah, I mean you're one hundred percent right in that

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<v Speaker 3>these are completely different businesses, right, Like selling cars that

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<v Speaker 3>drive themselves is an Apple business model, And that's why

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<v Speaker 3>I always love Tesla. When I first found Tesla, I

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<v Speaker 3>was like, this is the Apple of cars, right, Like

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<v Speaker 3>you build hardware and with great software, and then you

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<v Speaker 3>make money on services, right And that's really where Tesla's

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<v Speaker 3>making a ton of money right now is on services

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<v Speaker 3>and energy storage, which are still great businesses for Tesla.

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<v Speaker 3>But when you talk about building an Uber like platform,

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<v Speaker 3>this is an extremely difficult thing that it took Uber

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<v Speaker 3>almost a decade or more to make money doing, and

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<v Speaker 3>Uber is very very good at this now and the

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<v Speaker 3>only way they've been able to make money is by

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<v Speaker 3>charging substantially more for the rides because Uber is not

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<v Speaker 3>cheap anymore and they had to subsidize rides for a

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<v Speaker 3>decade just to build that business. So when you actually

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<v Speaker 3>think about Tesla scaling, if there was no competition, that'd

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<v Speaker 3>be one thing. But there's already several cab services I

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<v Speaker 3>can take right now, whether it be Uber, Lyft or

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<v Speaker 3>waimap that are all very good at what they do.

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<v Speaker 3>So you know, even if Tesla gets this to work,

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<v Speaker 3>it's still a tough business. And the second thing I

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<v Speaker 3>would just say, ed you use full self driving a lot?

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<v Speaker 3>Obviously you probably if I asked, do you feel comfortable

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<v Speaker 3>turning it on and going into the backseat of your

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<v Speaker 3>car and letting you drive that full thirty miles home?

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<v Speaker 7>I've never done that or attempted it, and I think

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<v Speaker 7>you know, I post quite a lot on X my experiences,

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<v Speaker 7>like I say today, this is what happened. You know,

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<v Speaker 7>I would never get in the back of the car

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<v Speaker 7>and turn it on. I also would not put my

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<v Speaker 7>little baby boy in it either. But the way that

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<v Speaker 7>I've tried to track it is generation by generation. How

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<v Speaker 7>has it improved on the route that I take every day.

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<v Speaker 7>The one area that is really struggled is with the

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<v Speaker 7>toll boobs on the Golden Gate Bridge. You know that

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<v Speaker 7>can be precarious, and you can see my posts on

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<v Speaker 7>that on your point.

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<v Speaker 5>In the AI graph of the shareholder deck.

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<v Speaker 7>The way that Tester explains it is that the latest

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<v Speaker 7>version of FSD, they say, has a substantial amount of

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<v Speaker 7>the source code in the Robotaxi version, and by putting

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<v Speaker 7>it out into the real world. It gives them valuable

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<v Speaker 7>real world data to help them improve a future robo

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<v Speaker 7>taxi service.

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<v Speaker 5>I don't weigh in on that one way or the other.

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<v Speaker 7>I'm just saying that's Tesla's explanation on the link between

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<v Speaker 7>the two, the consumer facing FSD and the same codebase

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<v Speaker 7>that will be used to power a future rover taxi service.

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<v Speaker 2>He ed Ross made the point that he doesn't believe

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<v Speaker 2>vision only FSD or vision only self driving works. Can

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<v Speaker 2>you talk a little bit about that technology that that

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<v Speaker 2>Tesla uses versus the other companies, namely Weima and Amazons,

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<v Speaker 2>Amazon subsidiary as well.

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<v Speaker 5>Yeah, so very simple.

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<v Speaker 7>When we say vision based system, the inputs for the

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<v Speaker 7>vehicle are only cameras on a Tesla. The cameras capture

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<v Speaker 7>capture optical data from around the vehicle and use the

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<v Speaker 7>underlying algorithm to make an onboard decision interpreting the world

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<v Speaker 7>around them.

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<v Speaker 8>Uh.

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<v Speaker 7>The opposite academic view is that you need to paint

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<v Speaker 7>a richer digital picture of the world using other forms

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<v Speaker 7>of data gathered by lidar, radar, and in some cases

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<v Speaker 7>even going beyond that. You know, like there are very

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<v Speaker 7>degrees of lightar spinning or stationary or static. Sorry, The

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<v Speaker 7>economic argument that Tesla and Elon must have always made

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<v Speaker 7>is that having a vehicle that has multiple sensors on

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<v Speaker 7>it is not scalable. You know, there is no end

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<v Speaker 7>result whether the vehicle could be affordable for a consumer

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<v Speaker 7>or profitable for an operator of that system to run.

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<v Speaker 7>The other robotaxi companies like Weymo or zooks, who do

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<v Speaker 7>have multiple sensors and custom versions of them, say that

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<v Speaker 7>you have to have them for redundancy. So if one

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<v Speaker 7>of those digital pictures fails, i e. The vision one,

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<v Speaker 7>the cameras fail, or the ID or radar fails, you

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<v Speaker 7>can still be safe because you have a rich enough

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<v Speaker 7>digital picture of the world around you for the vehicle

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<v Speaker 7>to make a decision based on the circumstances presented in

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<v Speaker 7>front of it.

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<v Speaker 6>So I put this question to both of you, and

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<v Speaker 6>let me just start with you, Rass. I mean, I've

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<v Speaker 6>gotten in a weymore I love it, and I've sat

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<v Speaker 6>in the back seat, I've closed my eyes for like

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<v Speaker 6>a thirty forty minute trip to an airport. I have

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<v Speaker 6>loved it. So FSD full self driving?

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<v Speaker 7>Is it?

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<v Speaker 6>Are we crazy to think that that's going to be

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<v Speaker 6>our world going forward, or do we have to change

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<v Speaker 6>our infrastructure dramatically to make it possible going forward? Like

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<v Speaker 6>trying to understand because if the model is so to.

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<v Speaker 2>Ultrastructure is the hardest part would be the hardest part.

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<v Speaker 6>I'm just thinking, if it's such a torture model, like,

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<v Speaker 6>are we crazy to even be talking about it?

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<v Speaker 3>You're getting into one of my favorite discussion debate issues

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<v Speaker 3>out there right now, which is the future of what

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<v Speaker 3>mobility actually looks like. And my basic premise is that

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<v Speaker 3>humans love to drive and are not giving it up.

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<v Speaker 3>And I'm now raising my children. I thought when I

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<v Speaker 3>had children that we would have had this master that

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<v Speaker 3>my kids would never learn to drive. But my kids

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<v Speaker 3>learning how to drive now, you know what I'm saying.

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<v Speaker 3>And people love to drive. Now, Younger people don't love

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<v Speaker 3>to drive as much as older people. That's one thing

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<v Speaker 3>in our surveys we've noticed. Okay, but I'm not giving

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<v Speaker 3>up driving, And if I live another thirty years, I'm

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<v Speaker 3>still gonna love driving. And I love cars, and I

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<v Speaker 3>love driving fast, and I love like, you know, driving

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<v Speaker 3>the one freeway, you know, whatever you want to call it.

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<v Speaker 3>But you know, humans love the independence and the functionality

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<v Speaker 3>of having their own vehicle.

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<v Speaker 5>We've had.

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<v Speaker 3>It started with the horse. We all had our own horse.

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<v Speaker 3>You fought to the death to protect your horse. And

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<v Speaker 3>I just don't see people giving up cars anytime soon

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<v Speaker 3>for a lot of practical reasons, like when you're doing

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<v Speaker 3>errands and you have to store stuff in your car

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<v Speaker 3>or pick up your kids and then go to soccer.

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<v Speaker 3>It's like you're not going to be taking cabs everywhere.

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<v Speaker 3>That's just not a realistic view of the world. So

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<v Speaker 3>unless we rejig our cities and start from scratch, where

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<v Speaker 3>I think the biggest use case would be in very

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<v Speaker 3>dense urban environments that are very difficult for people to drive.

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<v Speaker 3>Just saying no more cars, it has to be cabs.

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<v Speaker 3>That makes sense in New York City or downtown LA,

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<v Speaker 3>let's say. But I just don't see how you implement that,

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<v Speaker 3>because it's like millions of people already have their commuter

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<v Speaker 3>lifestyle and I just don't see how that changes.

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<v Speaker 6>All right, So EDLA. That brings us back then to Tesla.

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<v Speaker 6>If they keep talking about FSD, I mean, they're an

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<v Speaker 6>ev company and a lot more we know that, but

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<v Speaker 6>I don't know is it enough. I don't know momentum

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<v Speaker 6>I look at the valuation, like, what is this company

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<v Speaker 6>going forward?

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<v Speaker 7>Well, I repeat the same thing I've said every quarter

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<v Speaker 7>for eight years. Elon Musk is often late on his predictions,

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<v Speaker 7>but gets there in the end, and Tesla is clearly

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<v Speaker 7>committed to this.

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<v Speaker 5>That's part one.

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<v Speaker 7>You know that largely Tesla has made economic benefit arguments

0:11:47.040 --> 0:11:49.520
<v Speaker 7>and the industry has as well. There are people that

0:11:49.600 --> 0:11:53.120
<v Speaker 7>disagree with Ross in that car ownership as a model

0:11:53.200 --> 0:11:55.960
<v Speaker 7>is in doubt. You know, there are multiple reasons from

0:11:56.040 --> 0:11:59.320
<v Speaker 7>the cost of owning and operating a vehicle through to

0:11:59.760 --> 0:12:02.920
<v Speaker 7>generational attitude and appetite to go out and get a

0:12:03.000 --> 0:12:08.120
<v Speaker 7>driving license that people feel will make the technology more

0:12:08.160 --> 0:12:11.680
<v Speaker 7>pervasive and be adopted. Where people agree with Ross is

0:12:11.720 --> 0:12:15.320
<v Speaker 7>the environment, the infrastructure, And I go back to the

0:12:15.360 --> 0:12:17.560
<v Speaker 7>reporting always. I have to go back to what we've

0:12:17.559 --> 0:12:20.920
<v Speaker 7>actually reported, which is there is a piece of legislation

0:12:21.080 --> 0:12:25.480
<v Speaker 7>currently dormant and is not moved beyond the proposal stage

0:12:25.800 --> 0:12:29.360
<v Speaker 7>that we reported. Elon Musk and other Tesla staff lobbied

0:12:29.480 --> 0:12:33.160
<v Speaker 7>very hard on, which is to have some federal level

0:12:33.200 --> 0:12:37.120
<v Speaker 7>framework where purpose built robotaxis that don't have steering wheels

0:12:37.160 --> 0:12:40.600
<v Speaker 7>or pedals can be deployed unfettered in the real world,

0:12:41.120 --> 0:12:43.520
<v Speaker 7>but it doesn't address that what happens with the rest

0:12:43.520 --> 0:12:46.720
<v Speaker 7>of road users, and that's where academics believe we're heading

0:12:46.760 --> 0:12:47.720
<v Speaker 7>for a real issue.

0:12:47.800 --> 0:12:49.679
<v Speaker 6>All Right, and Lola, we know you've got some stuff

0:12:49.720 --> 0:12:54.000
<v Speaker 6>to do off of these earnings, so appreciate your input

0:12:54.040 --> 0:12:57.040
<v Speaker 6>throughout the day today and certainly off of Tesla's earnings. Right,

0:12:57.080 --> 0:13:01.439
<v Speaker 6>we got to run. Always enjoy talking with you, Ross,

0:13:01.640 --> 0:13:04.240
<v Speaker 6>Thank you so much. Ross Gerbert, President, chief executive officer

0:13:04.280 --> 0:13:07.240
<v Speaker 6>of Gerbert Kawasaki Wealth and Investment Management. More than three

0:13:07.240 --> 0:13:09.920
<v Speaker 6>billion in assets under management, and they own about eighty

0:13:09.920 --> 0:13:11.560
<v Speaker 6>million dollars worth of Tesla shares.

0:13:12.960 --> 0:13:15.760
<v Speaker 2>Stay with us more from Bloomberg Business Week Daily coming

0:13:15.840 --> 0:13:16.720
<v Speaker 2>up after this.

0:13:20.240 --> 0:13:24.120
<v Speaker 1>You're listening to the Bloomberg Business Week Daily Podcast. Catch

0:13:24.200 --> 0:13:26.840
<v Speaker 1>us live weekday afternoons from two to five eas During

0:13:26.880 --> 0:13:30.320
<v Speaker 1>that listen on Applecarplay and Android Auto with the Bloomberg

0:13:30.360 --> 0:13:33.800
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0:13:34.240 --> 0:13:37.480
<v Speaker 6>Bloomberg's Thomas Black He recently wrote an opinion piece and

0:13:37.520 --> 0:13:41.160
<v Speaker 6>he talked about the hype around humanoid robots being pretty

0:13:41.200 --> 0:13:44.400
<v Speaker 6>i with forecasts of nearly one billion humanoids in service

0:13:44.440 --> 0:13:47.240
<v Speaker 6>by twenty fifty, but the reality is that most people

0:13:47.320 --> 0:13:50.080
<v Speaker 6>overestimate what robots can do at this point in their development.

0:13:50.559 --> 0:13:53.000
<v Speaker 6>Got to say, though, one company that's been using robots

0:13:53.040 --> 0:13:55.360
<v Speaker 6>a lot and for a long time and has deployed

0:13:55.360 --> 0:13:58.000
<v Speaker 6>its one millionth robot happens to be one of the

0:13:58.040 --> 0:14:00.800
<v Speaker 6>world's largest market at companies out there. It's also a

0:14:00.840 --> 0:14:03.640
<v Speaker 6>household name. So we wanted to check in once again

0:14:03.760 --> 0:14:08.280
<v Speaker 6>with Ty Brady. He's chief technologist at Amazon Robotics. He

0:14:08.360 --> 0:14:11.040
<v Speaker 6>joins us from Amazon's Delivering the Future twenty twenty five

0:14:11.120 --> 0:14:14.520
<v Speaker 6>event from Amazon's d u R three. It's a delivery

0:14:14.520 --> 0:14:20.280
<v Speaker 6>station in Millipedes, California, and so we kind of want

0:14:20.320 --> 0:14:22.480
<v Speaker 6>to find out where they are in terms of the

0:14:22.480 --> 0:14:25.160
<v Speaker 6>world of robotics. Ty, I got to tell you, Tim,

0:14:25.160 --> 0:14:26.840
<v Speaker 6>and I love talking to you last time, so so

0:14:26.880 --> 0:14:29.080
<v Speaker 6>glad to check in with you again. First of all,

0:14:29.200 --> 0:14:30.960
<v Speaker 6>this event, where you are, I mean right now, I

0:14:31.000 --> 0:14:34.520
<v Speaker 6>just see a curtain, but I'm assuming there's lots of

0:14:34.520 --> 0:14:37.720
<v Speaker 6>stuff happening at the event. Who's there, what's going on?

0:14:37.960 --> 0:14:39.000
<v Speaker 6>Tell us a little bit about it?

0:14:40.040 --> 0:14:40.240
<v Speaker 5>Yep.

0:14:40.280 --> 0:14:41.880
<v Speaker 9>Well, first of all, thank you so much for having me,

0:14:41.920 --> 0:14:43.880
<v Speaker 9>and I really appreciate it and I enjoyed our conversation

0:14:44.200 --> 0:14:44.720
<v Speaker 9>as well.

0:14:44.960 --> 0:14:46.320
<v Speaker 5>It's just really great to be here.

0:14:46.640 --> 0:14:51.240
<v Speaker 9>We are are fourth delivering the Future event here and

0:14:51.560 --> 0:14:53.680
<v Speaker 9>there's a bunch of press that we have here, and

0:14:53.720 --> 0:14:56.560
<v Speaker 9>we made a couple of big announcements in robotics today.

0:14:57.320 --> 0:14:59.600
<v Speaker 6>Can you tell us about them if you have.

0:14:59.760 --> 0:15:06.720
<v Speaker 9>But the first is in our manipulation robot that we

0:15:06.800 --> 0:15:09.280
<v Speaker 9>call blue Jay. And what blue Jay the way that

0:15:09.360 --> 0:15:10.880
<v Speaker 9>you can think of that as we can you can

0:15:10.960 --> 0:15:12.920
<v Speaker 9>take three assembly lines and put it in the same

0:15:12.920 --> 0:15:16.680
<v Speaker 9>footprint of one. What it does is help eliminate the menial,

0:15:16.720 --> 0:15:19.120
<v Speaker 9>the mundane, and the repetitive, and it could pick more

0:15:19.160 --> 0:15:21.560
<v Speaker 9>than seventy five percent of the inventory that we actually

0:15:21.560 --> 0:15:23.920
<v Speaker 9>sell in our sortable network, which is a really big deal.

0:15:24.080 --> 0:15:26.160
<v Speaker 9>I'm really proud of that. And I also say there's

0:15:26.240 --> 0:15:28.600
<v Speaker 9>something interesting about blue Jay as well as compared to

0:15:28.680 --> 0:15:34.640
<v Speaker 9>our other bird manipulation systems Cardinal, Sparrow and Robin, it

0:15:34.680 --> 0:15:37.720
<v Speaker 9>took us about three years to kind of design, deploy

0:15:37.880 --> 0:15:41.200
<v Speaker 9>and get out to our frontline employees. We have actually

0:15:41.880 --> 0:15:44.480
<v Speaker 9>done blue Jay with the power of AI in just

0:15:44.600 --> 0:15:47.520
<v Speaker 9>over a year, so it's really the pace of innovation.

0:15:48.040 --> 0:15:50.000
<v Speaker 2>I think a lot of people think about Amazon and

0:15:50.080 --> 0:15:51.600
<v Speaker 2>robots I just want to jump in because we don't

0:15:51.600 --> 0:15:53.080
<v Speaker 2>have a ton of time, but I I want we'll

0:15:53.080 --> 0:15:54.800
<v Speaker 2>get to some of the other announcements. They think about

0:15:54.840 --> 0:15:58.640
<v Speaker 2>the Kiva Systems robots the big acquisition at the time,

0:15:58.760 --> 0:16:01.680
<v Speaker 2>you know, twenty twelve. That was a big position for Amazon,

0:16:01.880 --> 0:16:03.920
<v Speaker 2>and they've seen pictures of the way that those can

0:16:03.960 --> 0:16:07.480
<v Speaker 2>move large loads of things across warehouses. But if you

0:16:07.480 --> 0:16:09.480
<v Speaker 2>were to go into a state of the art Amazon

0:16:09.560 --> 0:16:12.600
<v Speaker 2>warehouse today, what would you see That's in addition to

0:16:12.600 --> 0:16:13.640
<v Speaker 2>those Kiva robots.

0:16:14.360 --> 0:16:17.880
<v Speaker 9>Yeah, in addition to the world's first goods to person

0:16:17.960 --> 0:16:22.200
<v Speaker 9>fulfillment strategy, which was a really good idea where we

0:16:22.240 --> 0:16:24.600
<v Speaker 9>have more than a million robots that we manufacture action

0:16:24.680 --> 0:16:27.720
<v Speaker 9>in Massachusetts doing that job every day. You're going to

0:16:27.720 --> 0:16:30.040
<v Speaker 9>see more of the unstructured fields, right, So, you're going

0:16:30.080 --> 0:16:33.000
<v Speaker 9>to see green robot that we call Proteus that can

0:16:33.080 --> 0:16:39.040
<v Speaker 9>move big cargoes of packages to the right dock at

0:16:39.040 --> 0:16:42.720
<v Speaker 9>the right time. You're going to see many more manipulation

0:16:42.840 --> 0:16:45.520
<v Speaker 9>systems that we have in there, eliminating kind of the

0:16:45.560 --> 0:16:47.760
<v Speaker 9>repetitive motions that they we have. No one wants to

0:16:47.840 --> 0:16:51.160
<v Speaker 9>lift a fifty pound box box all day. Robin does

0:16:51.200 --> 0:16:54.640
<v Speaker 9>that cardinal does that. Moving into some of these proteus

0:16:54.640 --> 0:17:00.160
<v Speaker 9>bound karts that we have, you're going to see much

0:17:00.200 --> 0:17:03.560
<v Speaker 9>more collaborative robotics, right. So that's where we build our

0:17:03.640 --> 0:17:07.240
<v Speaker 9>robotics systems to enable people to augment what people are

0:17:07.240 --> 0:17:10.679
<v Speaker 9>capable of. And we really believe in the philosophy of

0:17:10.800 --> 0:17:13.639
<v Speaker 9>people and machines working together. How can we build a

0:17:13.680 --> 0:17:17.440
<v Speaker 9>tool set that enables our employees to do their job

0:17:17.520 --> 0:17:21.000
<v Speaker 9>not only more efficiently, but also with better safety in mind?

0:17:21.040 --> 0:17:23.080
<v Speaker 6>All right, So there's this robot arm called blue Jay.

0:17:23.080 --> 0:17:24.800
<v Speaker 6>You just talked about it. You know, you guys are

0:17:24.880 --> 0:17:28.600
<v Speaker 6>using this AI agent called the Iluna, and then you're

0:17:28.840 --> 0:17:31.960
<v Speaker 6>also working with augmented reality glasses to be worn by

0:17:32.080 --> 0:17:35.320
<v Speaker 6>drivers and delivery trucks in the field. There's like so

0:17:35.440 --> 0:17:38.480
<v Speaker 6>much going on. Step back for a moment, because you

0:17:38.560 --> 0:17:40.719
<v Speaker 6>guys have a lot of data. You look at what

0:17:40.760 --> 0:17:44.520
<v Speaker 6>you're doing. I'm just curious investors who are thinking about

0:17:44.520 --> 0:17:46.320
<v Speaker 6>Amazon and what you are doing, how do they think

0:17:46.320 --> 0:17:49.360
<v Speaker 6>about the long term, like ROI return on investment When

0:17:49.400 --> 0:17:52.240
<v Speaker 6>it comes to the investment you guys make in robots.

0:17:52.560 --> 0:17:56.280
<v Speaker 6>Is the goal about labor efficiency through put speed or

0:17:56.320 --> 0:17:59.960
<v Speaker 6>is it margin expansion? Kind of tie across your full

0:18:00.040 --> 0:18:01.440
<v Speaker 6>filment operations. What is it?

0:18:02.960 --> 0:18:05.080
<v Speaker 5>Yeah, well, definitely efficiency.

0:18:05.119 --> 0:18:08.360
<v Speaker 9>We think about efficiencies and how can we gain efficiency

0:18:08.520 --> 0:18:12.160
<v Speaker 9>through all the chain of our fulfillment processes for sure,

0:18:12.280 --> 0:18:15.800
<v Speaker 9>And you mentioned data and data is the fuel for

0:18:15.840 --> 0:18:20.320
<v Speaker 9>AI systems. Data has allowed us to bring think of

0:18:19.640 --> 0:18:23.399
<v Speaker 9>the body of being our robotics, but bring the mind

0:18:23.680 --> 0:18:27.040
<v Speaker 9>to robotics, allowing it to be more adaptable, more fluid.

0:18:27.320 --> 0:18:29.639
<v Speaker 9>You can almost think of this as the ability to

0:18:29.640 --> 0:18:32.800
<v Speaker 9>pour our robotics systems into any size building, any scale

0:18:33.119 --> 0:18:37.280
<v Speaker 9>of building, to amplify what our employees are already doing.

0:18:37.440 --> 0:18:39.159
<v Speaker 9>We want to give them an amazing tool set and

0:18:39.200 --> 0:18:41.720
<v Speaker 9>we see that when we do that, we're more productive.

0:18:41.760 --> 0:18:44.040
<v Speaker 9>Right when you do robotics, right when you do collab

0:18:44.080 --> 0:18:46.360
<v Speaker 9>of robotics where you need both people and machines doing

0:18:46.359 --> 0:18:49.240
<v Speaker 9>what they do best and they do different things better,

0:18:50.200 --> 0:18:51.919
<v Speaker 9>that it allows you to be more productive. And when

0:18:51.920 --> 0:18:55.479
<v Speaker 9>you're more productive, that allows you to invest more in people.

0:18:55.560 --> 0:18:58.119
<v Speaker 9>We've skilled more than seven hundred thousand of our employees,

0:18:58.560 --> 0:19:01.400
<v Speaker 9>which is a great stat And also in our robotics

0:19:01.440 --> 0:19:04.080
<v Speaker 9>we've expanded from the Kiba days. We've expanded from just

0:19:04.160 --> 0:19:07.920
<v Speaker 9>a movement solution to now movement and mobility and sortation

0:19:08.119 --> 0:19:11.880
<v Speaker 9>and storage and perception systems, packing systems that have really

0:19:12.000 --> 0:19:15.320
<v Speaker 9>changed the game for our customers. That's a big deal

0:19:15.359 --> 0:19:15.680
<v Speaker 9>to us.

0:19:15.760 --> 0:19:19.359
<v Speaker 6>But Ty, you know, well you need less workers, and

0:19:19.400 --> 0:19:21.600
<v Speaker 6>I got to bring it up. You know, The Times

0:19:21.600 --> 0:19:25.879
<v Speaker 6>had a story out They talked about interviews and a

0:19:25.880 --> 0:19:29.560
<v Speaker 6>cash of internal strategy documents that they saw that it

0:19:29.600 --> 0:19:33.040
<v Speaker 6>reveals that your execs think that the company's on the

0:19:33.080 --> 0:19:35.880
<v Speaker 6>cusp of its next big workplace shift. I'm reading from

0:19:35.880 --> 0:19:38.200
<v Speaker 6>the Times and replacing more than half a million jobs

0:19:38.200 --> 0:19:41.200
<v Speaker 6>with robots, so you know, we know things change. I'm

0:19:41.200 --> 0:19:43.440
<v Speaker 6>not in a horse and buggy anymore. I don't make

0:19:43.480 --> 0:19:46.760
<v Speaker 6>things piecemeal. I get it. I don't get tons of

0:19:46.800 --> 0:19:50.440
<v Speaker 6>faxes and I don't get tons of pieces of physical mail.

0:19:50.640 --> 0:19:54.960
<v Speaker 6>Thank God, things change. Having said that, is Amazon, do

0:19:55.040 --> 0:19:57.240
<v Speaker 6>you guys believe that you're on the cusp of a

0:19:57.280 --> 0:20:00.000
<v Speaker 6>workplace shift and that you won't need as many workers

0:20:00.200 --> 0:20:02.560
<v Speaker 6>because the advancements in robotics.

0:20:03.640 --> 0:20:05.879
<v Speaker 9>Well, there's no doubt that things change. I mean, and

0:20:05.920 --> 0:20:08.399
<v Speaker 9>we're actually really proud of that. And Amazon is that

0:20:09.000 --> 0:20:12.400
<v Speaker 9>we avoid stasis at all costs. We change and we

0:20:12.520 --> 0:20:16.719
<v Speaker 9>adapt and the nature of tasks definitely changed, There's no

0:20:16.760 --> 0:20:20.800
<v Speaker 9>doubt about that. We are laser focused on efficiencies inside

0:20:20.800 --> 0:20:24.240
<v Speaker 9>of our buildings. But when it comes to that article,

0:20:24.480 --> 0:20:27.280
<v Speaker 9>that article was speculating ten years out right, that's a

0:20:27.320 --> 0:20:30.960
<v Speaker 9>ten year speculation, and it's hard to say what's going

0:20:31.040 --> 0:20:32.720
<v Speaker 9>to happen in the next ten years. But I can

0:20:32.760 --> 0:20:35.000
<v Speaker 9>tell you what happened in the last ten years, the

0:20:35.080 --> 0:20:38.639
<v Speaker 9>last ten years, which is when we seriously invested in robotics,

0:20:38.760 --> 0:20:41.520
<v Speaker 9>that we created hundreds of thousands of new jobs and

0:20:41.600 --> 0:20:44.639
<v Speaker 9>new job types. And there's been no employer in the

0:20:44.720 --> 0:20:50.400
<v Speaker 9>United States that has employed more people than Amazon ten years.

0:20:50.400 --> 0:20:54.800
<v Speaker 9>I mean, that's and that's the power of efficiencies and

0:20:54.880 --> 0:20:58.080
<v Speaker 9>building your robots in way that's applied and real that

0:20:58.160 --> 0:20:59.960
<v Speaker 9>actually augments the human potent.

0:21:00.320 --> 0:21:01.920
<v Speaker 6>All Right, my brother Sam, I like a dog with

0:21:01.960 --> 0:21:05.199
<v Speaker 6>a bone. So does that mean ten years out it

0:21:05.240 --> 0:21:08.399
<v Speaker 6>could be less jobs or we just don't know, or

0:21:08.440 --> 0:21:10.960
<v Speaker 6>you don't think that's the case, Well you have.

0:21:10.920 --> 0:21:11.440
<v Speaker 5>To think about it.

0:21:11.520 --> 0:21:14.280
<v Speaker 9>I mean there's jobs and there's tasks, right, so we

0:21:14.840 --> 0:21:17.040
<v Speaker 9>of course we're changing the nature of tasks. Like I'm

0:21:17.240 --> 0:21:21.280
<v Speaker 9>very bullish on eliminating every menial, mundane and repetitive job

0:21:21.320 --> 0:21:23.399
<v Speaker 9>out there. Nobody wants to do that, so we were

0:21:23.400 --> 0:21:26.600
<v Speaker 9>going to change those tasks one hundred percent, but we

0:21:26.640 --> 0:21:30.199
<v Speaker 9>can again, as history has shown, we continue to create

0:21:30.280 --> 0:21:33.399
<v Speaker 9>jobs right with the goal of two things. Can you

0:21:33.480 --> 0:21:35.920
<v Speaker 9>have it all? Can you be more productive which means

0:21:35.920 --> 0:21:38.520
<v Speaker 9>more efficiency, and can you also create a safer environment

0:21:38.520 --> 0:21:41.480
<v Speaker 9>for employees? And we're actually doing both. That's what history

0:21:41.480 --> 0:21:43.840
<v Speaker 9>has shown. In the last ten years. We have create

0:21:44.160 --> 0:21:48.960
<v Speaker 9>better than thirty percent reduction in our overall recordable injury

0:21:49.040 --> 0:21:52.240
<v Speaker 9>rate over the last five years because of our robotics

0:21:52.640 --> 0:21:56.480
<v Speaker 9>and also much more efficient. For example, our latest generation

0:21:57.280 --> 0:21:59.840
<v Speaker 9>film at Center and shreport is twenty five percent more

0:22:00.040 --> 0:22:03.160
<v Speaker 9>phishing the order.

0:22:03.280 --> 0:22:05.280
<v Speaker 5>So you can't have it all, but you have to

0:22:05.280 --> 0:22:08.040
<v Speaker 5>build your robotics in the right way that empowers people.

0:22:08.560 --> 0:22:12.040
<v Speaker 2>We're speaking with Ty Brady, chief technologist at Amazon Robotics.

0:22:12.320 --> 0:22:15.399
<v Speaker 2>When we think about hiring for these one off or

0:22:15.480 --> 0:22:19.600
<v Speaker 2>seasonal events like the holiday season or Amazon Prime Day,

0:22:20.119 --> 0:22:23.479
<v Speaker 2>I'm wondering how you're putting pencil to paper right now

0:22:23.480 --> 0:22:26.240
<v Speaker 2>and thinking about those numbers and to what extent automation

0:22:26.680 --> 0:22:30.919
<v Speaker 2>has reduced Amazon's dependency on seasonal or hourly labor for

0:22:31.240 --> 0:22:33.560
<v Speaker 2>holidays for Prime Day. What does that look like or

0:22:33.600 --> 0:22:35.320
<v Speaker 2>what will that look like this year next year.

0:22:36.560 --> 0:22:40.480
<v Speaker 9>Well, it's the same philosophy of empowering employees, whether they're

0:22:40.520 --> 0:22:43.480
<v Speaker 9>temporary or the full time employees with the world's best

0:22:43.480 --> 0:22:44.920
<v Speaker 9>machines that help them do their job.

0:22:45.000 --> 0:22:46.800
<v Speaker 5>It's the same philosophy. I'm really proud of the.

0:22:46.800 --> 0:22:48.679
<v Speaker 9>Fact that this year we're going to from more than

0:22:48.680 --> 0:22:52.480
<v Speaker 9>two hundred and fifty thousand temporary jobs for our employees

0:22:52.840 --> 0:22:54.840
<v Speaker 9>to come in during the holiday season. Those are good

0:22:54.840 --> 0:22:57.560
<v Speaker 9>paying jobs. I'm really happy about that, really pleased with that.

0:22:57.760 --> 0:23:00.000
<v Speaker 9>And I'm really pleased with the work that are women

0:23:00.040 --> 0:23:03.119
<v Speaker 9>than men have done in the robotics field, designing the

0:23:03.119 --> 0:23:06.199
<v Speaker 9>pioneering these new physical AI systems that help them do

0:23:06.280 --> 0:23:07.040
<v Speaker 9>their jobs better.

0:23:08.400 --> 0:23:10.800
<v Speaker 6>I got to say, one thing that I've been thinking

0:23:10.840 --> 0:23:14.560
<v Speaker 6>a lot about is what's going on overseas, whether it's China,

0:23:14.600 --> 0:23:18.040
<v Speaker 6>whether it's Japan. Bloomberg has done some reporting about service

0:23:18.080 --> 0:23:20.879
<v Speaker 6>industries in Japan because they have a labor shortage that

0:23:20.920 --> 0:23:24.560
<v Speaker 6>they are leading increasingly on robotics. Have you been over

0:23:24.560 --> 0:23:26.800
<v Speaker 6>there and looking at what they're doing, And I'm just

0:23:26.920 --> 0:23:31.200
<v Speaker 6>curious if you're seeing some things that are pretty impressive,

0:23:31.240 --> 0:23:35.600
<v Speaker 6>and that the US, as a creator of things or

0:23:35.920 --> 0:23:39.080
<v Speaker 6>its role in the robotics industry, has to keep a

0:23:39.119 --> 0:23:40.720
<v Speaker 6>watching what's going on in other countries.

0:23:41.920 --> 0:23:42.120
<v Speaker 4>Yeah.

0:23:42.359 --> 0:23:45.680
<v Speaker 9>I think it's easy, especially in robotics, to get distracted

0:23:45.880 --> 0:23:49.640
<v Speaker 9>about what other people are doing. I think anybody can

0:23:49.640 --> 0:23:51.840
<v Speaker 9>make a YouTube video. I think anybody can kind of

0:23:52.119 --> 0:23:56.440
<v Speaker 9>pop in and overflate something. But if you come into

0:23:56.480 --> 0:23:58.840
<v Speaker 9>our world, our world is a lot about application. Our

0:23:58.880 --> 0:24:04.760
<v Speaker 9>world is the re reality.

0:24:05.320 --> 0:24:05.600
<v Speaker 3>All right.

0:24:05.600 --> 0:24:09.440
<v Speaker 6>We're talking with Ty Brady, chief technologist Robotics at Amazon,

0:24:10.440 --> 0:24:13.680
<v Speaker 6>of course are our shot for that's the world of technology.

0:24:13.680 --> 0:24:16.280
<v Speaker 6>We're talking a lot about technology. Stuff happens, and we're

0:24:16.280 --> 0:24:18.639
<v Speaker 6>hoping we can get tie back. Just to finish up

0:24:18.680 --> 0:24:19.399
<v Speaker 6>this conversation.

0:24:19.800 --> 0:24:21.640
<v Speaker 4>Maybe the robots are using all the Wi Fi.

0:24:23.520 --> 0:24:24.520
<v Speaker 6>Robots, Like, I don't like what it is.

0:24:25.119 --> 0:24:26.720
<v Speaker 4>That is a connectivity thing though.

0:24:26.600 --> 0:24:28.240
<v Speaker 6>Well it fees into the path right like you.

0:24:28.640 --> 0:24:30.040
<v Speaker 4>It's all question about resources.

0:24:30.119 --> 0:24:32.560
<v Speaker 6>Get charge These puppies can't just plug them in right

0:24:32.600 --> 0:24:32.880
<v Speaker 6>if there?

0:24:32.880 --> 0:24:34.640
<v Speaker 4>I don't know we need recharging too.

0:24:34.840 --> 0:24:38.560
<v Speaker 6>Okay, Yeah, it's called food and sleep. Yeah, for Tim,

0:24:38.560 --> 0:24:40.840
<v Speaker 6>it's called robot food, food and sleep. You know what

0:24:40.960 --> 0:24:42.760
<v Speaker 6>I will say, do we have tie back, could we

0:24:42.760 --> 0:24:46.760
<v Speaker 6>grab them for twenty seconds? Tie twenty seconds forgive us

0:24:47.560 --> 0:24:48.760
<v Speaker 6>your final thoughts here.

0:24:49.000 --> 0:24:52.240
<v Speaker 5>Sorry about that, No, it's okay, let it go. I'm

0:24:52.280 --> 0:24:52.760
<v Speaker 5>ready for you.

0:24:52.920 --> 0:24:55.520
<v Speaker 6>Okay, twenty seconds. Just final thoughts for our audience because

0:24:55.520 --> 0:24:56.080
<v Speaker 6>we got to run.

0:24:58.840 --> 0:24:59.960
<v Speaker 5>So final thoughts.

0:24:59.640 --> 0:25:02.919
<v Speaker 9>Are is that robotics when done the right way, when

0:25:03.000 --> 0:25:06.400
<v Speaker 9>you reframe your relationship with machines, you can enable more productivity,

0:25:06.640 --> 0:25:10.720
<v Speaker 9>create greater efficiencies, and create a more safer environment for employees.

0:25:10.920 --> 0:25:13.720
<v Speaker 9>And this collaborative mindset that we've had that we've done

0:25:13.720 --> 0:25:16.600
<v Speaker 9>for the last ten years really does make the day.

0:25:16.760 --> 0:25:19.440
<v Speaker 6>Ty Brady over at Amazon, so appreciate it.

0:25:21.160 --> 0:25:21.920
<v Speaker 4>Stay with us.

0:25:22.000 --> 0:25:25.000
<v Speaker 2>More from Bloomberg Business Week Daily coming up after this.

0:25:28.880 --> 0:25:32.760
<v Speaker 1>You're listening to the Bloomberg Business Week Daily Podcast. Catch

0:25:32.840 --> 0:25:36.000
<v Speaker 1>us live weekday afternoons from two to five eastering. Listen

0:25:36.080 --> 0:25:39.639
<v Speaker 1>on Applecarplay and Android Auto with the Bloomberg Business app,

0:25:39.800 --> 0:25:42.359
<v Speaker 1>or watch us live on YouTube.

0:25:43.240 --> 0:25:44.679
<v Speaker 6>We love talking to mayers.

0:25:44.880 --> 0:25:45.600
<v Speaker 4>We do, we do.

0:25:45.680 --> 0:25:47.720
<v Speaker 2>We also love talking quantum computing, and there is some

0:25:47.880 --> 0:25:50.760
<v Speaker 2>news in quantum computing today. Google running an algorithm modents

0:25:50.880 --> 0:25:53.600
<v Speaker 2>Willow quantum computing chip that can be repeated on a

0:25:53.640 --> 0:25:57.120
<v Speaker 2>similar platform and outperformed classical computers. We spoke a little

0:25:57.119 --> 0:25:59.320
<v Speaker 2>bit about this with that love though earlier. The folks

0:25:59.320 --> 0:26:00.879
<v Speaker 2>in Chattanoa, ten I see, I've been thinking a lot

0:26:00.880 --> 0:26:04.240
<v Speaker 2>about quantum computing for years. The first commercially available quantum

0:26:04.320 --> 0:26:07.280
<v Speaker 2>network in the US was established there back in twenty

0:26:07.359 --> 0:26:10.440
<v Speaker 2>twenty two. Back with us is Mayor Tim Kelly. He's

0:26:10.440 --> 0:26:13.040
<v Speaker 2>an independent. He's the Mayor of Chattanooga, Tennessee. Also with

0:26:13.119 --> 0:26:16.200
<v Speaker 2>us as Janet Rayberg. She's the president and CEO elect

0:26:16.200 --> 0:26:20.000
<v Speaker 2>of EPB, formerly known as the Electric Power Board of Chattooga,

0:26:20.080 --> 0:26:22.680
<v Speaker 2>provides energy, internet, phone, and more in and around the

0:26:22.760 --> 0:26:25.520
<v Speaker 2>Chattanooga area. They both join us here in the Bloomberg

0:26:25.520 --> 0:26:28.880
<v Speaker 2>Interactive Brokers Studio. We should note that last year Bloomberg

0:26:28.920 --> 0:26:32.199
<v Speaker 2>Philanthropy's named Chatanooga one of twenty five cities selected for

0:26:32.240 --> 0:26:35.879
<v Speaker 2>its American Sustainable Cities Program. Bloomberg Philanthropies is founded and

0:26:35.920 --> 0:26:38.880
<v Speaker 2>supported by Michael R. Bloomberg, the founder and majority owner

0:26:38.920 --> 0:26:42.719
<v Speaker 2>of Bloomberg LP, and Chattanooga Sustainable Cities program is still ongoing.

0:26:42.800 --> 0:26:46.600
<v Speaker 2>Chattanooga also part of the Bloomberg Harvard Leading City Procurement

0:26:46.680 --> 0:26:47.640
<v Speaker 2>Reform program.

0:26:47.680 --> 0:26:50.880
<v Speaker 6>We're big Wilievers in full disclosure. Great to have both

0:26:50.920 --> 0:26:54.119
<v Speaker 6>of you here in studio with Tim and me. Mayor Kelly,

0:26:54.200 --> 0:26:56.960
<v Speaker 6>I just have to first ask you a broad question,

0:26:57.000 --> 0:26:58.600
<v Speaker 6>because we do want to talk a lot about quantum

0:26:58.600 --> 0:27:01.000
<v Speaker 6>computing and energy in general, because there's just so much

0:27:01.040 --> 0:27:06.760
<v Speaker 6>going on the environment today. How is it in terms

0:27:06.760 --> 0:27:10.320
<v Speaker 6>of running your city being a mayor in a political

0:27:10.400 --> 0:27:13.320
<v Speaker 6>environment that's a tough one, an economic environment that may

0:27:13.359 --> 0:27:13.720
<v Speaker 6>be tough.

0:27:13.920 --> 0:27:16.879
<v Speaker 10>Yeah, it's tough, but you know, running cities is an

0:27:16.920 --> 0:27:21.400
<v Speaker 10>eminently practical exercise. And I will say, you know, our

0:27:21.480 --> 0:27:25.760
<v Speaker 10>mayor's races are nonpartisan. They always have been, and I stayed.

0:27:25.480 --> 0:27:26.639
<v Speaker 11>In that lane. Again.

0:27:26.800 --> 0:27:29.919
<v Speaker 10>I mean, I'm not here to catalog my political beliefs.

0:27:30.000 --> 0:27:32.520
<v Speaker 10>They're pretty confusing to most people anyway. I'd say, you know,

0:27:32.800 --> 0:27:35.440
<v Speaker 10>Republicans think I'm a Democrat, and Democrats think I'm a Republican.

0:27:35.480 --> 0:27:38.000
<v Speaker 10>I'm probably doing a pretty good job. So you know,

0:27:38.080 --> 0:27:40.840
<v Speaker 10>I look, that has served me well in this environment,

0:27:40.880 --> 0:27:44.159
<v Speaker 10>because again I believe, as does a lot of folks

0:27:44.160 --> 0:27:47.680
<v Speaker 10>of Bloomberg, as do rather, but that cities are really

0:27:47.720 --> 0:27:50.960
<v Speaker 10>the foundation of our economy. I swear ninety percent of

0:27:50.960 --> 0:27:53.960
<v Speaker 10>the GDP's generateds we're all innovations generated. So I'm focused

0:27:53.960 --> 0:27:57.399
<v Speaker 10>on whatever is best for Chattanooga, so I can work

0:27:57.440 --> 0:27:59.440
<v Speaker 10>and have managed to work with people on both sides

0:27:59.440 --> 0:28:01.240
<v Speaker 10>of the aisle, and you know, in the best interest

0:28:01.280 --> 0:28:01.840
<v Speaker 10>of my city.

0:28:01.960 --> 0:28:05.639
<v Speaker 2>Do you find yourself getting pulled into the social issues

0:28:05.680 --> 0:28:08.760
<v Speaker 2>that seem to define our era right now, the stuff

0:28:08.800 --> 0:28:11.760
<v Speaker 2>that does dominate cable news, whether you're talking about the

0:28:11.840 --> 0:28:12.440
<v Speaker 2>right or the left.

0:28:12.600 --> 0:28:16.480
<v Speaker 10>Yeah, I mean I find myself, you know, I find

0:28:16.520 --> 0:28:18.359
<v Speaker 10>people attempting to pull me into those But I think

0:28:18.359 --> 0:28:21.199
<v Speaker 10>I've gotten pretty good at wrestling my way out of

0:28:21.200 --> 0:28:25.000
<v Speaker 10>them and trying to just translate back into simple terms.

0:28:25.080 --> 0:28:27.720
<v Speaker 10>You know, is this what's best for the city? You know,

0:28:27.840 --> 0:28:29.840
<v Speaker 10>does it work or does it not work? I mean,

0:28:29.880 --> 0:28:33.160
<v Speaker 10>sometimes you can't avoid those political issues. It's not as though,

0:28:33.960 --> 0:28:37.000
<v Speaker 10>you know, I don't have my own beliefs. But again,

0:28:37.040 --> 0:28:39.320
<v Speaker 10>I think you, just as a mayor, have to take

0:28:39.880 --> 0:28:42.520
<v Speaker 10>a thoroughly practical approach to what's going to work best

0:28:42.520 --> 0:28:42.960
<v Speaker 10>for the city.

0:28:43.040 --> 0:28:44.640
<v Speaker 6>All right, So when you think about what's best for

0:28:44.680 --> 0:28:46.720
<v Speaker 6>the city, let's talk about that. Because you are on

0:28:46.760 --> 0:28:49.080
<v Speaker 6>the ground talking to people what they need, what you

0:28:49.080 --> 0:28:51.560
<v Speaker 6>need to make sure you have a good economy, strong economy,

0:28:51.600 --> 0:28:54.680
<v Speaker 6>not just today but in the future. That quantum computing

0:28:54.760 --> 0:28:56.719
<v Speaker 6>that you made it back in twenty twenty two, tell

0:28:56.800 --> 0:28:58.640
<v Speaker 6>us about kind of give us an update or for

0:28:58.720 --> 0:29:01.600
<v Speaker 6>someone who didn't hear the conversation when you were last

0:29:01.640 --> 0:29:03.720
<v Speaker 6>on with this kind of where you guys are with this.

0:29:03.920 --> 0:29:06.520
<v Speaker 10>So I'll give you the cliff notes version, which is

0:29:06.560 --> 0:29:10.600
<v Speaker 10>that you know, we took advantage of a large federal

0:29:11.160 --> 0:29:14.520
<v Speaker 10>low interest loan way back when during Clinton and Gore

0:29:15.680 --> 0:29:18.400
<v Speaker 10>to put in a giant municipal fibre network, and that

0:29:18.480 --> 0:29:21.600
<v Speaker 10>gave us the first and fastest municipal fiber network in

0:29:21.640 --> 0:29:23.640
<v Speaker 10>the country. We had a lot of folks move in

0:29:23.720 --> 0:29:25.600
<v Speaker 10>during COVID because you know, you can get one gig

0:29:25.680 --> 0:29:27.840
<v Speaker 10>of symmetrical speed for sixty seven.

0:29:27.640 --> 0:29:29.360
<v Speaker 11>Bucks a month. Yeah, pretty great.

0:29:29.400 --> 0:29:31.480
<v Speaker 10>You can get twenty five gigs of speed at your

0:29:31.520 --> 0:29:34.680
<v Speaker 10>house in Chattanooga. But it turns out that you can

0:29:34.760 --> 0:29:37.800
<v Speaker 10>also do quantum computing on large loops of dark fiber,

0:29:38.320 --> 0:29:41.960
<v Speaker 10>one particular type that uses photons and trapped ions, which

0:29:42.000 --> 0:29:45.720
<v Speaker 10>is where ion Q began to become interested in Chattanooga.

0:29:45.800 --> 0:29:48.080
<v Speaker 11>So we opened and Janet can talk more about it.

0:29:48.520 --> 0:29:51.640
<v Speaker 10>The first commercially available quantum network, and it is starting

0:29:51.640 --> 0:29:53.280
<v Speaker 10>to attract a lot of investment and attention.

0:29:53.520 --> 0:29:55.120
<v Speaker 2>So Janet, come on in here, because one thing that

0:29:55.160 --> 0:29:57.720
<v Speaker 2>we're trying to understand is what the practical applications of

0:29:57.760 --> 0:30:00.360
<v Speaker 2>quantum technology are. We spoke with ed Loo the cost

0:30:00.400 --> 0:30:03.440
<v Speaker 2>of our Bloomberg Tech program a little earlier, and Carol agreed,

0:30:03.480 --> 0:30:05.960
<v Speaker 2>I mean you thought healthcare first, he said, healthcare Also,

0:30:06.040 --> 0:30:08.600
<v Speaker 2>this is one area of application, but it's still kind

0:30:08.600 --> 0:30:11.360
<v Speaker 2>of the world where we're thinking about what this tech

0:30:11.360 --> 0:30:14.160
<v Speaker 2>can do, not necessarily seeing what it can do. Have

0:30:14.240 --> 0:30:18.520
<v Speaker 2>we seen any material things be developed as a result

0:30:18.640 --> 0:30:20.760
<v Speaker 2>of this technology and what you're doing in Chattanooga.

0:30:20.840 --> 0:30:22.560
<v Speaker 8>Yeah, So ian Q has been working on a lot

0:30:22.600 --> 0:30:26.120
<v Speaker 8>of different type of application with different industry, and so

0:30:26.160 --> 0:30:28.320
<v Speaker 8>we were interested because we're in an electric company and

0:30:28.400 --> 0:30:30.000
<v Speaker 8>so we have all the data for them to help

0:30:30.040 --> 0:30:32.959
<v Speaker 8>us optimize our grid. So we're doing a partnership actually

0:30:32.960 --> 0:30:36.200
<v Speaker 8>with Ionq, Nvidia, and Oakridge National Lab as a full

0:30:36.200 --> 0:30:39.640
<v Speaker 8>way partnership to help do use hybrid computing until quantum

0:30:39.680 --> 0:30:41.800
<v Speaker 8>computing can you get to where it needs to be

0:30:42.280 --> 0:30:44.560
<v Speaker 8>to help us with some great optimization problem that we

0:30:44.600 --> 0:30:45.680
<v Speaker 8>can't solve today.

0:30:46.080 --> 0:30:48.200
<v Speaker 6>In terms of energy demands tell us about that. That

0:30:48.320 --> 0:30:50.160
<v Speaker 6>is like what you are seeing front and center. We

0:30:50.720 --> 0:30:54.120
<v Speaker 6>know the AI conversation narrative has moved from the spend

0:30:54.120 --> 0:30:56.240
<v Speaker 6>and chips and so on and so forth, like to basically,

0:30:56.520 --> 0:30:58.280
<v Speaker 6>all right, do we have enough power to do all

0:30:58.360 --> 0:31:01.560
<v Speaker 6>of this? And there is certainly a power scramble among

0:31:01.600 --> 0:31:04.360
<v Speaker 6>the big hyper scalers. What are you seeing on that front?

0:31:04.480 --> 0:31:07.000
<v Speaker 8>Yeah, and I think that's a nationwide you know, issue

0:31:07.000 --> 0:31:08.200
<v Speaker 8>with the energy problem.

0:31:08.400 --> 0:31:09.520
<v Speaker 6>And as AI gets.

0:31:09.280 --> 0:31:12.800
<v Speaker 8>Better as an energy problem, right, Yeah, I mean, as

0:31:12.840 --> 0:31:15.080
<v Speaker 8>AI gets better and better, the more energy that it's

0:31:15.080 --> 0:31:15.560
<v Speaker 8>going to need.

0:31:15.840 --> 0:31:17.400
<v Speaker 6>And so that's where quantum comes in.

0:31:17.640 --> 0:31:20.440
<v Speaker 8>Very important to the part of that solution is that

0:31:20.520 --> 0:31:23.160
<v Speaker 8>quantum computer, once it gets to the phase that it

0:31:23.200 --> 0:31:25.440
<v Speaker 8>needs to be, is it can solve things at a

0:31:25.520 --> 0:31:29.640
<v Speaker 8>much faster rate, which uses less energy than a classical

0:31:29.640 --> 0:31:32.680
<v Speaker 8>computer because it can do things in parallel versus sequential

0:31:32.720 --> 0:31:33.640
<v Speaker 8>as a classical computer.

0:31:33.720 --> 0:31:36.360
<v Speaker 2>Today, Where do you get the energy that you sell

0:31:36.400 --> 0:31:37.720
<v Speaker 2>to people in and Aroundchattanoga.

0:31:37.920 --> 0:31:40.880
<v Speaker 8>Yeah, so we buy it from TVA Tennessee Valley Authority,

0:31:41.240 --> 0:31:43.320
<v Speaker 8>and so they generate the power and we distribute it

0:31:43.360 --> 0:31:44.000
<v Speaker 8>to our customers.

0:31:44.000 --> 0:31:44.960
<v Speaker 4>How do they generate it?

0:31:45.160 --> 0:31:48.920
<v Speaker 8>They have a diverse mix of portfolio, from hydro, different

0:31:48.920 --> 0:31:53.200
<v Speaker 8>types of renewables to natural gas, and so you know

0:31:53.240 --> 0:31:55.080
<v Speaker 8>they're continuing to look at other options.

0:31:55.120 --> 0:31:55.880
<v Speaker 4>Do you see that mixed?

0:31:55.880 --> 0:31:57.880
<v Speaker 10>Go ahead, now, I'm just going to say they're also

0:31:58.000 --> 0:31:59.840
<v Speaker 10>very much on the front foot in terms of advanced

0:31:59.840 --> 0:32:01.400
<v Speaker 10>new Do you.

0:32:01.400 --> 0:32:03.000
<v Speaker 4>See that mix? This is either of you.

0:32:03.040 --> 0:32:06.480
<v Speaker 2>Do you see that mixed changing and focusing less unrenewables

0:32:06.520 --> 0:32:09.480
<v Speaker 2>more on nuclear as a result of the changes out

0:32:09.520 --> 0:32:10.160
<v Speaker 2>of Washington.

0:32:10.480 --> 0:32:13.400
<v Speaker 10>I think you're going to see that, you know, and again,

0:32:13.880 --> 0:32:16.080
<v Speaker 10>regardless of your political affiliation, if you just kind of

0:32:16.080 --> 0:32:16.400
<v Speaker 10>look at.

0:32:16.360 --> 0:32:18.720
<v Speaker 11>The math, there's no way around nuclear, right.

0:32:19.000 --> 0:32:22.720
<v Speaker 10>I do think they are giving us or EPB more

0:32:22.800 --> 0:32:25.200
<v Speaker 10>latitude to generate some of our own power because of

0:32:25.200 --> 0:32:27.960
<v Speaker 10>the anticipated demands. And I think we still have a

0:32:28.000 --> 0:32:30.440
<v Speaker 10>lot of headway on solar, So I mean, I think

0:32:30.440 --> 0:32:32.720
<v Speaker 10>we'll contain, and we've got a lot of things we

0:32:32.760 --> 0:32:34.800
<v Speaker 10>can do with hydro. We're going to actually start using

0:32:35.160 --> 0:32:39.360
<v Speaker 10>biogas in our wastewater treatment plant to generate electricity. So

0:32:39.400 --> 0:32:41.680
<v Speaker 10>we're looking at any in all ways that we can generate.

0:32:41.840 --> 0:32:43.960
<v Speaker 6>Because my understanding when we talk about SMR as the

0:32:44.000 --> 0:32:46.960
<v Speaker 6>small modular reactors it's ten fifteen.

0:32:47.080 --> 0:32:50.920
<v Speaker 2>Will Wade reminds us who covers this here at Bloomberg News,

0:32:50.920 --> 0:32:52.520
<v Speaker 2>that we are not there right now, it's.

0:32:52.400 --> 0:32:55.120
<v Speaker 10>A while, we're not, but we have a pretty significant

0:32:55.200 --> 0:32:58.400
<v Speaker 10>nuclear footprint with TVA already in the times.

0:32:58.440 --> 0:33:00.560
<v Speaker 6>So what would you tell people who are still nervous

0:33:00.560 --> 0:33:03.680
<v Speaker 6>when it comes to the nuclear footprint that you guys have.

0:33:03.880 --> 0:33:06.640
<v Speaker 6>You know what, you know, fine, people do it, okay,

0:33:06.640 --> 0:33:08.440
<v Speaker 6>do it across the country or do it in another country.

0:33:08.480 --> 0:33:09.400
<v Speaker 6>But you know the feeling here.

0:33:09.800 --> 0:33:10.840
<v Speaker 4>I mean, I grew up in the next to a

0:33:10.880 --> 0:33:13.480
<v Speaker 4>nuclear power planet. I'm fine, right, I'm a little weird.

0:33:15.040 --> 0:33:16.560
<v Speaker 6>But what would you say about that?

0:33:16.920 --> 0:33:19.920
<v Speaker 11>I mean, the technology has come a long long way. Yeah,

0:33:20.240 --> 0:33:21.840
<v Speaker 11>that's what I would say. Man, I'd say, go do

0:33:21.880 --> 0:33:23.280
<v Speaker 11>your research, do your homework. They're not.

0:33:23.440 --> 0:33:25.280
<v Speaker 10>I mean, that's why we have these discussions, That's why

0:33:25.320 --> 0:33:29.440
<v Speaker 10>we have the fears. But but there's just not absolute fusion.

0:33:29.480 --> 0:33:32.200
<v Speaker 10>I will say the state in the University of Tennessee

0:33:32.240 --> 0:33:34.560
<v Speaker 10>is also working very very hard on fusion technology.

0:33:35.000 --> 0:33:36.880
<v Speaker 11>Absent that breakthrough, there's really not.

0:33:37.200 --> 0:33:37.959
<v Speaker 6>That's what I'm waiting for.

0:33:38.760 --> 0:33:41.800
<v Speaker 2>When we're talking about quantum today and we're talking about Google,

0:33:41.800 --> 0:33:44.840
<v Speaker 2>we're talking about Silicon Valley. How do you get people

0:33:44.880 --> 0:33:49.440
<v Speaker 2>to think about Chattanooga, Tennessee and not Silicon Valley, not

0:33:49.600 --> 0:33:52.760
<v Speaker 2>New York City, not Austin, Texas when they're thinking about

0:33:52.800 --> 0:33:55.360
<v Speaker 2>where they want to live to have a job in technology.

0:33:56.360 --> 0:33:58.440
<v Speaker 11>Coming on Bloomberg is it's a great first step.

0:33:58.480 --> 0:33:58.520
<v Speaker 8>No.

0:33:58.720 --> 0:33:59.959
<v Speaker 11>I mean, look, we talked about this all the time.

0:34:00.120 --> 0:34:02.040
<v Speaker 10>It's a it's a mid size southern city with kind

0:34:02.080 --> 0:34:04.200
<v Speaker 10>of a funny name, and there's a bit of cognitive

0:34:04.200 --> 0:34:07.000
<v Speaker 10>dissonance there. So you know, look, we are out telling

0:34:07.000 --> 0:34:08.640
<v Speaker 10>the story. I mean, I was just in Detroit last

0:34:08.640 --> 0:34:11.560
<v Speaker 10>week at a sustainable mobility conference. We were at the

0:34:11.719 --> 0:34:14.840
<v Speaker 10>Quantum World Congress. I mean, at some point it's you know,

0:34:14.880 --> 0:34:15.920
<v Speaker 10>the evidence is mounting.

0:34:15.960 --> 0:34:18.279
<v Speaker 11>We are it's not just smoke. We are doing the

0:34:18.320 --> 0:34:19.839
<v Speaker 11>work and it's working. Is it?

0:34:19.920 --> 0:34:20.080
<v Speaker 5>Is it?

0:34:20.160 --> 0:34:22.719
<v Speaker 2>If you build it, they will come mentality. I think,

0:34:22.760 --> 0:34:23.640
<v Speaker 2>so have they come?

0:34:24.000 --> 0:34:24.799
<v Speaker 11>Yes, they have come.

0:34:24.840 --> 0:34:27.640
<v Speaker 10>I mean again, we had you know, we now have

0:34:27.880 --> 0:34:30.560
<v Speaker 10>independent verification that you know, ten twelve thousand people moved

0:34:30.560 --> 0:34:34.840
<v Speaker 10>to Chattanooga during the pandemic very you know, degree talented

0:34:34.840 --> 0:34:38.279
<v Speaker 10>people that could work remotely. And I think again, our job,

0:34:38.360 --> 0:34:40.640
<v Speaker 10>my job is mayor, is to help break that glass

0:34:40.680 --> 0:34:43.240
<v Speaker 10>ceiling so that we have the level of business investment

0:34:43.360 --> 0:34:47.080
<v Speaker 10>and again can build up our academic horsepower to be

0:34:47.160 --> 0:34:49.040
<v Speaker 10>able to sustain those knowledge economy jobs.

0:34:49.120 --> 0:34:51.560
<v Speaker 6>Jenna, you know, when we think about quantum computing, we

0:34:51.600 --> 0:34:53.680
<v Speaker 6>spend so much time to talking about you know, large

0:34:53.760 --> 0:34:56.399
<v Speaker 6>language models and generative AI and kind of where that's

0:34:56.440 --> 0:35:00.120
<v Speaker 6>going agentic AI. You just talked about the power or

0:35:00.680 --> 0:35:03.359
<v Speaker 6>aspect are the use of less power when it comes

0:35:03.400 --> 0:35:07.880
<v Speaker 6>to quantum computing. But I mean, should our conversation be

0:35:07.960 --> 0:35:10.759
<v Speaker 6>shifting in terms of what we are having for an

0:35:10.800 --> 0:35:14.320
<v Speaker 6>investing audience when we talk just so much about AI

0:35:14.560 --> 0:35:17.000
<v Speaker 6>generally versus quantum.

0:35:16.719 --> 0:35:18.719
<v Speaker 8>Well, I think that with quantum computer, when it gets

0:35:18.719 --> 0:35:20.640
<v Speaker 8>to you know, the level it needs to be, you

0:35:20.640 --> 0:35:22.760
<v Speaker 8>can team it up with AI and get even more

0:35:23.200 --> 0:35:25.359
<v Speaker 8>powerful algorithm that comes out of it to be able

0:35:25.360 --> 0:35:28.040
<v Speaker 8>to solve more complex problems. So I don't think it's

0:35:28.080 --> 0:35:29.520
<v Speaker 8>one or the other. I think it's going to be

0:35:29.640 --> 0:35:32.000
<v Speaker 8>a combined of you know, how do you combine that

0:35:32.040 --> 0:35:34.640
<v Speaker 8>and use less energy and be able to build algorithm

0:35:34.680 --> 0:35:35.320
<v Speaker 8>more efficiently.

0:35:35.680 --> 0:35:37.439
<v Speaker 6>So help me, because when we talk about the data

0:35:37.480 --> 0:35:39.600
<v Speaker 6>center build out, so does that go hand in hand

0:35:39.600 --> 0:35:42.080
<v Speaker 6>with the build out of quantum computing is that part

0:35:42.120 --> 0:35:42.399
<v Speaker 6>of it?

0:35:43.000 --> 0:35:45.480
<v Speaker 8>So right now, it's you know, the we're building a

0:35:45.560 --> 0:35:47.719
<v Speaker 8>quantum computer to kind of learn more and be able

0:35:47.719 --> 0:35:50.680
<v Speaker 8>to help accelerate and advance that technology with companies like

0:35:50.719 --> 0:35:52.920
<v Speaker 8>ion Q, and I think once it gets to where

0:35:52.960 --> 0:35:55.040
<v Speaker 8>it needs to be, then well we can team it

0:35:55.120 --> 0:35:55.600
<v Speaker 8>up with AI.

0:35:55.960 --> 0:35:59.280
<v Speaker 10>Okay, yeah, yeah, and many of the implications with quantum

0:35:59.280 --> 0:36:01.120
<v Speaker 10>asking basic quest because I feel like we spend so

0:36:01.160 --> 0:36:03.439
<v Speaker 10>much time talking about the AI, but this is something that.

0:36:03.360 --> 0:36:05.240
<v Speaker 6>Increasingly is coming into the dialogue.

0:36:05.320 --> 0:36:05.480
<v Speaker 4>Yeah.

0:36:05.520 --> 0:36:07.160
<v Speaker 10>Now, I'm just going to say the logistics is a

0:36:07.239 --> 0:36:09.000
<v Speaker 10>huge vertical and chatt near go as well. And I

0:36:09.000 --> 0:36:12.759
<v Speaker 10>think the implications for quantum for logistics have huge implications

0:36:12.800 --> 0:36:16.160
<v Speaker 10>for lower power demand and a lower carbon footprint, right

0:36:16.200 --> 0:36:18.880
<v Speaker 10>because you're going to waste a lot less time getting

0:36:18.920 --> 0:36:20.040
<v Speaker 10>stuff from A to B.

0:36:20.480 --> 0:36:22.960
<v Speaker 6>Right with root optimization we're going to have to do

0:36:23.040 --> 0:36:25.239
<v Speaker 6>because we talk about like the power drag or the

0:36:25.239 --> 0:36:29.280
<v Speaker 6>power demand and the cost. Mayor Kelly, I'd be remiss

0:36:29.320 --> 0:36:31.200
<v Speaker 6>not to ask you you are trying to build a

0:36:31.239 --> 0:36:34.240
<v Speaker 6>city where everyone has an opportunity to thrive and prosper

0:36:34.360 --> 0:36:36.399
<v Speaker 6>We talk so much about the case shaped economy. There's

0:36:36.400 --> 0:36:39.080
<v Speaker 6>a lot of people who aren't thriving and prospering in

0:36:39.120 --> 0:36:43.000
<v Speaker 6>this environment. Thirty five seconds. What's a message to send

0:36:43.040 --> 0:36:43.600
<v Speaker 6>to everybody.

0:36:44.000 --> 0:36:46.600
<v Speaker 10>Well, we are working very hard to reform our workforce

0:36:46.640 --> 0:36:49.800
<v Speaker 10>fillment system so that we so we don't leave folks behind.

0:36:49.800 --> 0:36:52.439
<v Speaker 10>And I think we have some significant opportunities to do that,

0:36:53.440 --> 0:36:55.520
<v Speaker 10>and we are in the mist to doing that. Again,

0:36:55.600 --> 0:36:57.759
<v Speaker 10>it's tough out there, yeah, and I think it's going

0:36:57.840 --> 0:37:01.240
<v Speaker 10>to fall more to the state government into philanthropy frankly,

0:37:01.280 --> 0:37:02.760
<v Speaker 10>to kind of take up the slack in the meantime.

0:37:03.000 --> 0:37:04.520
<v Speaker 11>But I mean, we have to play the long game.

0:37:04.520 --> 0:37:06.600
<v Speaker 10>And the long game is we need some significant change

0:37:06.600 --> 0:37:09.520
<v Speaker 10>to the way that we do education workforce development in

0:37:09.560 --> 0:37:11.240
<v Speaker 10>this country so that we don't leave people behind.

0:37:11.320 --> 0:37:11.480
<v Speaker 4>Yeah.

0:37:11.480 --> 0:37:13.480
<v Speaker 6>I just feel like in terms of education, we're starting

0:37:13.480 --> 0:37:16.000
<v Speaker 6>to think about that. Yeah, come back soon. I'd love

0:37:16.040 --> 0:37:19.680
<v Speaker 6>to kind of continue this conversation if we may. Mayor

0:37:19.719 --> 0:37:22.719
<v Speaker 6>Tim Kelly of Chattanooga, Tennessee, and Janet Raeberg, she's the

0:37:22.719 --> 0:37:26.279
<v Speaker 6>President's CEO Elective EP be joining us right here in

0:37:26.280 --> 0:37:28.120
<v Speaker 6>our Bloomberg Interactive Broker studio.

0:37:28.320 --> 0:37:33.759
<v Speaker 1>This is the Bloomberg Business Week Daily Podcast, available on Apple, Spotify,

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0:37:38.000 --> 0:37:42.160
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