WEBVTT - Amazon CEO Andy Jassy Talks AI

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. We now want to

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<v Speaker 1>welcome to our TV and radio audiences worldwide. Amazon's president

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<v Speaker 1>and CEO, Andy Jesse, Great to have you.

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<v Speaker 2>On New York. Thanks for having me. It's great to

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<v Speaker 2>be here.

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<v Speaker 1>Back home where you grew up at and you are

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<v Speaker 1>unveiling generative AI infused Alexa Plus. How is this going

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<v Speaker 1>to really well excite your customer base? What are you

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<v Speaker 1>most excited for it?

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<v Speaker 2>Well, you know we've had Alex has been around for

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<v Speaker 2>ten years. We have six hundred million devices in customers

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<v Speaker 2>homes and offices, and Alexa Plus is our next generation

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<v Speaker 2>Alexa Personal Assistant, and she's meaningfully smarter and more capable

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<v Speaker 2>and useful than her prior self. You can do all

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<v Speaker 2>the things that you used to do, but every single

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<v Speaker 2>one of those functions is better. And I can give

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<v Speaker 2>you just an example. There are so many examples, but

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<v Speaker 2>you know, if you have smart home controls with Alexa now,

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<v Speaker 2>you can say, Hey, Alexa, I have guests coming over

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<v Speaker 2>at seven pm. Could you raise the drapes, could you

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<v Speaker 2>raise the temperature by five degrees, turn on the porch

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<v Speaker 2>lights and the driveway lights, and put on melo dinner

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<v Speaker 2>music in the dining room and music you're not me.

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<v Speaker 2>I choose shop Fighters, but most people will choose Melo

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<v Speaker 2>dining music. But you can do that all verbally and

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<v Speaker 2>simply using conversational language like that. You don't need a nap.

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<v Speaker 2>It just happens. And so Alexa plus, with what we've

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<v Speaker 2>just announced and what we're launching, it really is. There

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<v Speaker 2>have been a lot of chatbots around that are good

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<v Speaker 2>at answering questions, but they don't take actions. Alexi plus

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<v Speaker 2>is really Alexa is going to be the first one

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<v Speaker 2>that not only is highly intelligent to answer various questions,

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<v Speaker 2>but she can do so many things for you. She

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<v Speaker 2>can play music and play video, and control your smart

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<v Speaker 2>home and make reservations for you and hire people to

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<v Speaker 2>fix your oven. I mean, it really is the first big,

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<v Speaker 2>large scale practical use of gen AI. The consumers are

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<v Speaker 2>going to be able to see and use naturally.

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<v Speaker 1>I can see how you're going to obsess over it,

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<v Speaker 1>whether it's ordering the latest Buffalo Wings or in New

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<v Speaker 1>York and seeing where the best space is.

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<v Speaker 2>To do that.

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<v Speaker 1>But how are your stakeholders of shareholder based going to

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<v Speaker 1>obsess about this? About gender to AI in Alexi Plus.

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<v Speaker 1>How is that adding value for them?

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<v Speaker 2>Well, you know, I think if you think about what

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<v Speaker 2>Alexa allows customers to do, it makes shopping more easy

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<v Speaker 2>because it's so much more intuitive now to buy products.

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<v Speaker 2>It makes enjoying music easier, It makes enjoying video and

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<v Speaker 2>streaming media better. It allows you to control your smart

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<v Speaker 2>home in a different way. So every single one of

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<v Speaker 2>our consumer customer experiences gets better with Alexa Plus. And

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<v Speaker 2>then you know, of course, Alexa has its own business model.

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<v Speaker 2>We have a brand new lineup of devices that are

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<v Speaker 2>coming in the fall. I think that are beautiful. I

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<v Speaker 2>think people are going to really like we have opportunities

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<v Speaker 2>to service new products and advertising in various interfaces like

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<v Speaker 2>our mobile and our desk top interface that's coming in Alexa.

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<v Speaker 2>And then we have subscriptions, and you know, so I

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<v Speaker 2>think there's a sustainable business model there as well.

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<v Speaker 1>Talk to me about the subscriptions because you're getting it free.

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<v Speaker 2>If you've got.

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<v Speaker 1>Prime, I get a lot with Prime. Now are you

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<v Speaker 1>able to increase the prices there?

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<v Speaker 2>Do you think of Prime? Well, Prime is an incredible value.

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<v Speaker 2>If you think about getting free shipping on three hundred

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<v Speaker 2>million plus items. You know when we launch Prime, it's

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<v Speaker 2>free shipping on about a million items to say, it's

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<v Speaker 2>three hundred million items. And most of the time you're

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<v Speaker 2>getting your products now inside of a day. And so

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<v Speaker 2>you know, between that and what you get with Prime

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<v Speaker 2>Video and Prime Music and the grocery subscription, and you

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<v Speaker 2>know our unique selling events, primes and incredible values increase

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<v Speaker 2>to add on top of it Alexa plus. You know,

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<v Speaker 2>it's just great value. So what do they plan right now?

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<v Speaker 2>But it's I do think Prime is unusual value and

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<v Speaker 2>it's why people use it so expansively.

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<v Speaker 1>And to increase that use has been this invention, this

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<v Speaker 1>innovation of generative and that costs money. And you've actually

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<v Speaker 1>just took to the stage yesterday to say, out of

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<v Speaker 1>all companies, you are spending the most on AI. How

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<v Speaker 1>much are you spending on AI?

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<v Speaker 2>Well, you know, I think we don't disclose the exact amount,

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<v Speaker 2>but you know we you know, we're spending a pretty

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<v Speaker 2>significant amount of cappax and the allion's share of it

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<v Speaker 2>is on generative AI. We've said in our aws business

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<v Speaker 2>even though general AI for US is a many billion

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<v Speaker 2>dollars a year business and growing triple digit percentages year

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<v Speaker 2>over year, that if we had even more capacity, we

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<v Speaker 2>could use it to monetize it. And we have this

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<v Speaker 2>really interesting and very fortunate flywheel and AI inside of Amazon,

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<v Speaker 2>which is if your mission is to make customers' lives

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<v Speaker 2>easier and better every day, which it is for us,

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<v Speaker 2>and if you believe that all the customer experiences we

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<v Speaker 2>know of today are going to be reinvented through generative AI,

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<v Speaker 2>which we also believe. You believe those two things, you're

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<v Speaker 2>going to be building a lot of genera ABAI apps.

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<v Speaker 2>If you build a lot of gener of aif, by

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<v Speaker 2>the way, other companies are too on top of AWS,

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<v Speaker 2>which is the leading technology infrastructure platform. So if there

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<v Speaker 2>are a lot of gener of AI apps being built

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<v Speaker 2>on top of you, you can't help but get a

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<v Speaker 2>lot of feedback from people on how they want those

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<v Speaker 2>building blocks that create gener AI to be better. And

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<v Speaker 2>if you're willing to invest in those building blocks, which

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<v Speaker 2>we are, as you know, with our own chips with

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<v Speaker 2>Tradium and with our own frontier model with Amazon Nova

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<v Speaker 2>and model building services and stage Maker AI and betterck.

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<v Speaker 2>If you're willing to invest in those building blocks and

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<v Speaker 2>you're getting a lot of feedback, they get better much

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<v Speaker 2>more quickly, which can't help them make it easier and

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<v Speaker 2>quicker for people to build gender AI applications, which means

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<v Speaker 2>you get more running on the platform. So that flywheel

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<v Speaker 2>is very unique for Amazon.

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<v Speaker 1>The line share, though, you did say basically one hundred

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<v Speaker 1>billion dollar run rate for CAPEX expenditure. Can you give

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<v Speaker 1>us even like a percentage ratedown of how much that

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<v Speaker 1>goes to distribution logistics and how much goes to AI

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<v Speaker 1>line shares?

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<v Speaker 2>You know, you can tell you most of it. You

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<v Speaker 2>know most of it. You know the line shares.

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<v Speaker 1>More than fifty Yes, is it more than eighty percent?

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<v Speaker 2>We're playing the warmer and colder game? Yes, exactly.

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<v Speaker 1>I love a game taught us about that capacity that

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<v Speaker 1>you talked about. Yeah, AWS could grow even faster if

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<v Speaker 1>you had all the chips that you needed, all the

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<v Speaker 1>power you needed, the motherboards you needed. How much faster

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<v Speaker 1>could a WS grow?

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<v Speaker 2>I could. It's hard to put an exact percentage, but

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<v Speaker 2>I do think it could be growing faster. I'm confident

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<v Speaker 2>could be growing faster. And you know there's there is

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<v Speaker 2>you know, for a long time, there still aren't as

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<v Speaker 2>many chips as we all want we have. We're fortunate

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<v Speaker 2>in that we're very big partners with Video. But then

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<v Speaker 2>we also have our own custom AI silicon in tradium too,

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<v Speaker 2>which we just released in Reinvent, which is thirty to

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<v Speaker 2>forty percent more price performance than the GPU powered instances,

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<v Speaker 2>which is a big deal at scale if you're doing

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<v Speaker 2>gender of AI on the inference side. So we have

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<v Speaker 2>maybe more chips than some others might have access to,

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<v Speaker 2>but we still don't have enough. And then there's just

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<v Speaker 2>is not enough power in the world right now, and

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<v Speaker 2>we're all working really hard on that. I expect that

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<v Speaker 2>to relieve some the second half of this year, but

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<v Speaker 2>right now, and you know, the world can change, but

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<v Speaker 2>right now we have just insatiable demand.

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<v Speaker 1>We had amazing demand coming from Jensen Wang who had

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<v Speaker 1>his numbers out yesterday and Nvidio. Was there a limitation

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<v Speaker 1>on the in video chips in particular that pulled back

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<v Speaker 1>capacity And at what point do you think can depend

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<v Speaker 1>even more on your own in house built chips offset

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<v Speaker 1>any of that?

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<v Speaker 2>Well, you know, I would say, I mean there's a

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<v Speaker 2>lot of demand for gener Ai right now. People are

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<v Speaker 2>very excited about it. I think that all the different

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<v Speaker 2>providers of chips have been constrained to some extent. I

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<v Speaker 2>think some of the some of the new generations maybe

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<v Speaker 2>have gone through different evolutions and when they're going to

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<v Speaker 2>be released maybe a little later than people thought. There

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<v Speaker 2>are some components like motherboards and things like that that

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<v Speaker 2>we all use that particular ones that are in shorter

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<v Speaker 2>supply than others. So you know, I do think there's

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<v Speaker 2>some there are some supply chainges choose which I expect

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<v Speaker 2>to get better. I do you know people are very

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<v Speaker 2>excited about trainingum Too to your question and whether we

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<v Speaker 2>could see more demand there, and we have gone back

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<v Speaker 2>at least a couple occasions to make more trainingum Too

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<v Speaker 2>than we'd intended because we have so much demand. So

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<v Speaker 2>I expect the will of customers for as long as

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<v Speaker 2>I can foresee wanting to run compute on instances that

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<v Speaker 2>have in vidio chips. But I think a lot of

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<v Speaker 2>the demand will also be served by training the.

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<v Speaker 1>Customers that you couldn't serve because of the limited capacity.

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<v Speaker 1>Is it that you just have to put it back

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<v Speaker 1>from everyone a little bit more generally or who lost

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<v Speaker 1>out here?

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<v Speaker 2>Do you think it's always a combination. I mean, there's

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<v Speaker 2>for people that just have a very small amount of

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<v Speaker 2>accelerators that they need. They don't usually have a problem.

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<v Speaker 2>We have something called capacity blocks. It's kind of like

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<v Speaker 2>an on demand way to use accelerators and and generate

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<v Speaker 2>e chips and that continues to go. It's really the

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<v Speaker 2>folks who have built, you know, have an idea for

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<v Speaker 2>a new application, but they need a lot of chips.

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<v Speaker 2>Where if we don't have the capacity, we have to

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<v Speaker 2>you know, we have to give them what we can

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<v Speaker 2>give them and give it to them as fast as

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<v Speaker 2>we can and push our partners to get it in sooner.

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<v Speaker 2>And they can't get their initiatives done as quickly as

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<v Speaker 2>they want to if the capacity isn't there.

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<v Speaker 1>Andthropics had all the capacity it needs, you've got on

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<v Speaker 1>a close relationship.

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<v Speaker 2>Yeah, we have a very close partnership with Anthropic. We

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<v Speaker 2>have this project called Project right near with them. They're

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<v Speaker 2>building their next model, their next version of their frontier

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<v Speaker 2>model on top of trainum to and our custom AI silicon.

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<v Speaker 2>They're going to use over four hundred thousand trainum two

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<v Speaker 2>chips and so yes, they have capacity. They're they're ramping

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<v Speaker 2>up and we're excited about that partnership and what they're building.

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<v Speaker 1>You mentioned the power side. How much is that something

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<v Speaker 1>you're talking to the administration about. How much is the

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<v Speaker 1>administration supportive of the buildout that you need to do.

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<v Speaker 2>We have been talking to administration, you know, multiple administrations

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<v Speaker 2>in this country over the years, as well as in

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<v Speaker 2>other countries as well. And I think the power shortage

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<v Speaker 2>really snuck up on people, you know, really right after

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<v Speaker 2>the pandemic. And I would say that the current administration

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<v Speaker 2>is very receptive to it. They understand the constraints it's

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<v Speaker 2>having on the economy right now and are convicted about

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<v Speaker 2>solving it.

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<v Speaker 1>What about the restrictions around chips? And what's interesting is

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<v Speaker 1>Microsoft just called on the administration today to say, this

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<v Speaker 1>limitation on chip access for some of our close allies

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<v Speaker 1>around the world is going to limit our global business.

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<v Speaker 2>You are a global business.

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<v Speaker 1>Is that something you're worried about?

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<v Speaker 2>Hey, we are? You know. I think I think that

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<v Speaker 2>you're really talking about that AI diffusion act, I think,

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<v Speaker 2>and I'm going to be curious to see where that goes.

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<v Speaker 2>I mean, it was it was enacted pretty quickly at

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<v Speaker 2>the very end of the last administration. I don't know

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<v Speaker 2>how this administration feels about it, but I would say

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<v Speaker 2>that we share the concern that it has limitations on

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<v Speaker 2>certain countries who are natural allies of the US who

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<v Speaker 2>just to be able to do their business and those

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<v Speaker 2>companies to be able to get done what they want

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<v Speaker 2>to get done on top of these technology infrastructure platforms

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<v Speaker 2>like AWS, they're going to need more chips, and so

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<v Speaker 2>I think if we don't do it, we're going to

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<v Speaker 2>basically give up that business and those relationships to other

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<v Speaker 2>countries who can provide those chips, and I think we're

0:11:27.240 --> 0:11:28.640
<v Speaker 2>better off being partners with them.

0:11:28.720 --> 0:11:30.000
<v Speaker 1>Is it a risk to AWS.

0:11:30.360 --> 0:11:33.400
<v Speaker 2>It's not so much risk. I mean, I mean it

0:11:33.440 --> 0:11:37.559
<v Speaker 2>had it, you know, in the scheme of things. It's

0:11:37.600 --> 0:11:41.079
<v Speaker 2>not a big swinger. But I also think that there

0:11:41.080 --> 0:11:43.880
<v Speaker 2>are so many countries who are in the early stages

0:11:43.880 --> 0:11:48.280
<v Speaker 2>of their economic development who both really need access to

0:11:48.360 --> 0:11:51.600
<v Speaker 2>the most cutting edge sophisticated technology to build the right

0:11:51.600 --> 0:11:55.600
<v Speaker 2>customer experiences, and that could be big geographic markets for

0:11:55.800 --> 0:11:59.000
<v Speaker 2>companies like ours and lots of other technology companies, where

0:11:59.000 --> 0:12:00.640
<v Speaker 2>I think it would be a shame to limit them

0:12:00.640 --> 0:12:01.720
<v Speaker 2>and to limit the companies.

0:12:02.760 --> 0:12:05.440
<v Speaker 1>The AI diffusion rules that was brought in very swiftly

0:12:05.480 --> 0:12:07.560
<v Speaker 1>by the Biden administration all of this is in the

0:12:07.559 --> 0:12:11.040
<v Speaker 1>context of US versus China and not wanting to get

0:12:11.080 --> 0:12:14.600
<v Speaker 1>the most sophisticated equipment and chip and technology into China.

0:12:15.720 --> 0:12:19.440
<v Speaker 1>What rate for us for a moment the administration and

0:12:19.480 --> 0:12:22.600
<v Speaker 1>whether it's been positive or negative for your business when

0:12:22.600 --> 0:12:25.480
<v Speaker 1>it comes to China Dominimus, for example, the fact that

0:12:26.280 --> 0:12:28.480
<v Speaker 1>Chinese competitors, if we call them that, Shean and the

0:12:28.640 --> 0:12:30.240
<v Speaker 1>like it can have to pay more to get goods

0:12:30.280 --> 0:12:32.319
<v Speaker 1>into the country. Does that help or hinder you?

0:12:33.320 --> 0:12:38.440
<v Speaker 2>Well, you know, I would say, you know, on Deminimus specifically,

0:12:38.800 --> 0:12:41.880
<v Speaker 2>you know, we have a certain number of items that

0:12:41.880 --> 0:12:44.360
<v Speaker 2>are shipped in that way as well, for things like Hall,

0:12:45.160 --> 0:12:48.280
<v Speaker 2>which is our new low price offering. We maybe have

0:12:48.400 --> 0:12:50.360
<v Speaker 2>less of it than some other companies like the ones

0:12:50.400 --> 0:12:54.600
<v Speaker 2>that you mentioned, but I think it's early in this administration.

0:12:54.679 --> 0:12:58.120
<v Speaker 2>But what I would say is that it is encouraging

0:12:58.200 --> 0:13:00.920
<v Speaker 2>to us that we have an administry that wants to

0:13:00.960 --> 0:13:03.640
<v Speaker 2>hear from business. I would say that, you know, we've

0:13:04.080 --> 0:13:07.320
<v Speaker 2>been a business through six administrations. Every single one of

0:13:07.320 --> 0:13:10.079
<v Speaker 2>them are primary for focuses to take care of customers.

0:13:10.080 --> 0:13:12.160
<v Speaker 2>But we try to build a productive relationship with the

0:13:12.160 --> 0:13:14.600
<v Speaker 2>administration because we want to help the country, and I

0:13:14.600 --> 0:13:17.360
<v Speaker 2>would say that some administrations are more receptive to it

0:13:17.360 --> 0:13:22.280
<v Speaker 2>than others. But this administration cares about what business thinks.

0:13:22.360 --> 0:13:28.120
<v Speaker 2>And I've always been surprised that it isn't obvious that

0:13:28.200 --> 0:13:31.280
<v Speaker 2>the best economic results for a country are going to

0:13:31.280 --> 0:13:34.000
<v Speaker 2>be when the public and the private sector collaborate. And

0:13:34.160 --> 0:13:38.160
<v Speaker 2>you know, I don't expect the government to koutout to

0:13:38.240 --> 0:13:40.960
<v Speaker 2>what companies want, but they should get their feedback and

0:13:41.000 --> 0:13:44.280
<v Speaker 2>their input because they're going to make policies better together

0:13:44.360 --> 0:13:47.080
<v Speaker 2>if they collaborate. And I'm encouraged early on that this

0:13:47.120 --> 0:13:48.960
<v Speaker 2>administration wants to talk to businesses.

0:13:49.080 --> 0:13:50.600
<v Speaker 1>Are you taking calls possily?

0:13:50.920 --> 0:13:55.440
<v Speaker 2>You know, I take calls. We talked to you know,

0:13:55.520 --> 0:13:57.679
<v Speaker 2>the same thing with all the administrations. We talk to

0:13:57.720 --> 0:14:00.200
<v Speaker 2>people in the administration. We share what's working for us,

0:14:00.240 --> 0:14:03.280
<v Speaker 2>what's not working for us, concerns that we have. As

0:14:03.280 --> 0:14:06.400
<v Speaker 2>I said, some administrations care more about our feedback than others.

0:14:06.520 --> 0:14:07.600
<v Speaker 1>Has Trump can about yours?

0:14:07.640 --> 0:14:10.600
<v Speaker 2>Have you spoken to I have spoken to the President. Look,

0:14:10.800 --> 0:14:13.360
<v Speaker 2>as I said, this administration has been pretty busy the

0:14:13.400 --> 0:14:17.160
<v Speaker 2>first month, and but I am encouraged that they are

0:14:17.240 --> 0:14:22.080
<v Speaker 2>having conversations with businesses and they do care about our

0:14:22.080 --> 0:14:24.920
<v Speaker 2>feedback and we'll see what happens. But I you know,

0:14:24.960 --> 0:14:26.840
<v Speaker 2>it starts with a dialogue. You have to have a

0:14:26.880 --> 0:14:29.200
<v Speaker 2>dialogue to have any kind of relationship, and.

0:14:29.160 --> 0:14:32.200
<v Speaker 1>They care about AI infrastructure. Just take stargate. Are we

0:14:32.200 --> 0:14:35.120
<v Speaker 1>going to hear more from you on how much you're

0:14:35.120 --> 0:14:37.520
<v Speaker 1>investing here in the United States on the AI infrastructure

0:14:37.560 --> 0:14:38.280
<v Speaker 1>build out as well?

0:14:38.520 --> 0:14:41.560
<v Speaker 2>Well, you know, as we talked about earlier, we said

0:14:41.600 --> 0:14:45.680
<v Speaker 2>it was you know, directionally right in terms of the

0:14:45.720 --> 0:14:49.120
<v Speaker 2>run rate on our capex. But you know, we're spending

0:14:49.160 --> 0:14:52.240
<v Speaker 2>a lot on AI infrastructure, and the lion's share of

0:14:52.280 --> 0:14:54.280
<v Speaker 2>it is not just on AI but also in this

0:14:54.360 --> 0:14:57.280
<v Speaker 2>country in the US. We spend elsewhere because we have

0:14:57.280 --> 0:14:59.960
<v Speaker 2>a global business. We have customers everywhere. We have customers,

0:15:00.120 --> 0:15:03.760
<v Speaker 2>you know, a couple hundred countries. But we have a

0:15:03.800 --> 0:15:08.800
<v Speaker 2>pretty substantial investment that I don't expect to attenuate soon.

0:15:09.080 --> 0:15:13.360
<v Speaker 1>Only we could get a number. I'm interested in something

0:15:13.360 --> 0:15:15.920
<v Speaker 1>that perhaps is going to feel a more sensitive topic,

0:15:16.520 --> 0:15:19.920
<v Speaker 1>and it comes around perhaps some words that were missing

0:15:20.000 --> 0:15:23.120
<v Speaker 1>in your annual report this year, which we're diversity and inclusion.

0:15:23.160 --> 0:15:25.200
<v Speaker 1>I put this in the context of the administration as

0:15:25.240 --> 0:15:28.160
<v Speaker 1>it stands, because I know that Amazon strives to be

0:15:28.240 --> 0:15:32.040
<v Speaker 1>the Earth's best employer. And I'm just wondering how your

0:15:32.080 --> 0:15:36.480
<v Speaker 1>employees react to perhaps the lack of certain words now involved,

0:15:36.880 --> 0:15:39.480
<v Speaker 1>and whether or not programs might be forced to change

0:15:39.560 --> 0:15:39.800
<v Speaker 1>or not.

0:15:40.200 --> 0:15:42.320
<v Speaker 2>Yeah, well, what I would tell you just at a

0:15:42.400 --> 0:15:46.160
<v Speaker 2>high level, if you serve as many customers as we do,

0:15:46.280 --> 0:15:50.440
<v Speaker 2>in as many diverse groups as we do, and we

0:15:50.520 --> 0:15:53.640
<v Speaker 2>intend to moving forward, you have to have a diverse

0:15:53.720 --> 0:15:57.640
<v Speaker 2>team to be able to build products that work for everybody.

0:15:57.720 --> 0:16:00.640
<v Speaker 2>And that has always been our intention to continues to

0:16:00.640 --> 0:16:06.080
<v Speaker 2>be our intention. I think that you know, there were

0:16:06.160 --> 0:16:09.440
<v Speaker 2>so many programs that we launched and other companies launched

0:16:10.440 --> 0:16:13.520
<v Speaker 2>in the pandemic, and as you probably have seen over

0:16:13.560 --> 0:16:17.240
<v Speaker 2>the last three years, we've gone through very thoroughly every

0:16:17.360 --> 0:16:20.680
<v Speaker 2>single one of our business areas, and the programs that

0:16:20.760 --> 0:16:23.720
<v Speaker 2>we had conviction about we doubled down on, and the

0:16:23.760 --> 0:16:26.760
<v Speaker 2>programs that we don't have conviction about, we streamlined and

0:16:26.800 --> 0:16:28.720
<v Speaker 2>we stopped doing. And so we did the same thing

0:16:28.760 --> 0:16:32.520
<v Speaker 2>and looking at all of our programs on diversity, and

0:16:32.920 --> 0:16:34.880
<v Speaker 2>you know, we have some programs that we have doubled

0:16:34.880 --> 0:16:37.560
<v Speaker 2>down on. A good example is our Career Choice inside

0:16:37.560 --> 0:16:41.400
<v Speaker 2>our Fulfillment Network, our Fulfillment Center. Teammates are able to

0:16:41.400 --> 0:16:44.840
<v Speaker 2>get an advanced education for free on us to advance

0:16:44.920 --> 0:16:48.360
<v Speaker 2>their career and their own development. And that has been very,

0:16:48.480 --> 0:16:50.840
<v Speaker 2>very successful and very meaningful, and so we doubled down

0:16:50.880 --> 0:16:53.480
<v Speaker 2>our program like that. There are other programs that really

0:16:53.520 --> 0:16:56.520
<v Speaker 2>just haven't been that successful and haven't moved the needle much,

0:16:56.560 --> 0:16:59.720
<v Speaker 2>and those we just moved away from. But we have

0:17:00.080 --> 0:17:02.080
<v Speaker 2>first group. We're trying to continue to build out a

0:17:02.120 --> 0:17:03.240
<v Speaker 2>diverse group and that won't.

0:17:03.120 --> 0:17:07.040
<v Speaker 1>Change and you can't. You can still use that word ultimately,

0:17:07.040 --> 0:17:08.159
<v Speaker 1>you're not having to reframe it.

0:17:08.840 --> 0:17:11.920
<v Speaker 2>That is. I mean, look, you can call lots of people,

0:17:11.920 --> 0:17:15.240
<v Speaker 2>call lots of different things, but we have a giant

0:17:15.280 --> 0:17:18.399
<v Speaker 2>customer base of every imaginable group of people where we

0:17:18.440 --> 0:17:20.440
<v Speaker 2>want builders who can build for them.

0:17:20.760 --> 0:17:24.640
<v Speaker 1>Culture is key. Yeah, and you just talked about how

0:17:24.680 --> 0:17:27.600
<v Speaker 1>you're doing more is less. It's always a focus on frugality.

0:17:27.720 --> 0:17:30.240
<v Speaker 1>That's in your very principles. That's something you've been doing

0:17:30.280 --> 0:17:32.720
<v Speaker 1>at the employee base as well. You wrote out made

0:17:32.720 --> 0:17:35.200
<v Speaker 1>it very clear that they were going to be reducing layers.

0:17:35.600 --> 0:17:38.280
<v Speaker 2>How is that going, Yeah, it's gone. Well. You know,

0:17:38.320 --> 0:17:42.120
<v Speaker 2>I look, if you have a company where the culture

0:17:42.280 --> 0:17:45.360
<v Speaker 2>is an important ingredient in your success, which has absolutely

0:17:45.400 --> 0:17:49.560
<v Speaker 2>been true for Amazon. It's not your birth rate to

0:17:49.640 --> 0:17:51.840
<v Speaker 2>keep having a strong culture, you know, especially as you

0:17:51.840 --> 0:17:54.080
<v Speaker 2>grow the number of people, the number of businesses you're in,

0:17:54.119 --> 0:17:56.840
<v Speaker 2>the geographies that you're in, and so you have to

0:17:56.880 --> 0:17:59.359
<v Speaker 2>work at it all the time. And for us, you know,

0:17:59.359 --> 0:18:01.560
<v Speaker 2>there are two areas when we looked at it as

0:18:01.560 --> 0:18:04.760
<v Speaker 2>a leadership team last year that we wanted to strengthen.

0:18:04.800 --> 0:18:11.000
<v Speaker 2>One was we have always hired really strong owners, smart ambitious,

0:18:11.080 --> 0:18:14.480
<v Speaker 2>strong owners who get to own the allian's share of

0:18:16.119 --> 0:18:19.000
<v Speaker 2>In this case, I would say, you know ninety plus

0:18:19.000 --> 0:18:24.840
<v Speaker 2>percent of the decisions, and they you know, as you

0:18:24.960 --> 0:18:28.080
<v Speaker 2>add a lot of people, you end up with a

0:18:28.119 --> 0:18:31.320
<v Speaker 2>lot of middle managers, and those middle managers, all well intended,

0:18:31.400 --> 0:18:33.600
<v Speaker 2>want to put their fingerprint on everything. So you end

0:18:33.720 --> 0:18:36.119
<v Speaker 2>up with these people being in the pre meeting for

0:18:36.160 --> 0:18:38.240
<v Speaker 2>the pre meeting, for the pre meeting for the decision meeting,

0:18:38.560 --> 0:18:41.359
<v Speaker 2>and not always making recommendations and owning things the way

0:18:41.400 --> 0:18:43.720
<v Speaker 2>we want that type of ownership. So we took a

0:18:43.760 --> 0:18:48.439
<v Speaker 2>goal collectively to increase the ratio of individual contributors to

0:18:48.480 --> 0:18:50.840
<v Speaker 2>managers by over fifteen percent as a company by the

0:18:50.880 --> 0:18:53.320
<v Speaker 2>end of this quarter, we've made very good progress in

0:18:53.359 --> 0:18:55.679
<v Speaker 2>that we've beat that already and it's going to allow

0:18:55.840 --> 0:18:57.800
<v Speaker 2>us for the people that are doing the work, they're

0:18:57.800 --> 0:18:59.320
<v Speaker 2>going to have more ownership and they're going to be

0:18:59.320 --> 0:19:01.480
<v Speaker 2>able to move more QUI And then I think the

0:19:01.520 --> 0:19:04.600
<v Speaker 2>other thing we saw was that if you're a culture

0:19:04.600 --> 0:19:07.360
<v Speaker 2>that invents a lot and collaborates a lot like we do,

0:19:08.640 --> 0:19:11.359
<v Speaker 2>if you don't have people in the office together doing

0:19:11.400 --> 0:19:13.879
<v Speaker 2>that invention, it's just meaningfully worse. And you know, you

0:19:14.320 --> 0:19:16.880
<v Speaker 2>don't invent the same way, you don't collaborate the same way,

0:19:16.920 --> 0:19:18.520
<v Speaker 2>you don't connect with each other the same way, you

0:19:18.520 --> 0:19:21.560
<v Speaker 2>don't learn the culture the same way. And so having

0:19:21.560 --> 0:19:24.680
<v Speaker 2>people back in the office together more frequently, we felt

0:19:24.720 --> 0:19:26.159
<v Speaker 2>very strong. We bet it's going to be better for

0:19:26.200 --> 0:19:27.159
<v Speaker 2>customers in the business.

0:19:27.480 --> 0:19:31.000
<v Speaker 1>Let's talk about that invention and that collaboration. We've got

0:19:31.000 --> 0:19:33.160
<v Speaker 1>a new quantum chip us A lot love the name.

0:19:34.119 --> 0:19:36.000
<v Speaker 1>What does that mean for you to have this more

0:19:36.040 --> 0:19:39.240
<v Speaker 1>efficient chip at this exact moment. Will we start seeing

0:19:39.280 --> 0:19:40.800
<v Speaker 1>it be practically useful soon?

0:19:41.280 --> 0:19:45.400
<v Speaker 2>Welltum compute. Quantum computing is very high potential. It has

0:19:45.480 --> 0:19:50.199
<v Speaker 2>the chance to solve some very computationally intense problems, and

0:19:50.720 --> 0:19:54.800
<v Speaker 2>I still think it's realistically a few years away from

0:19:54.880 --> 0:19:56.919
<v Speaker 2>having a real shot at solving those problems. But you

0:19:56.920 --> 0:20:00.520
<v Speaker 2>have to solve a bunch of these challenges that relate

0:20:00.520 --> 0:20:03.280
<v Speaker 2>to quantum computing along the way, and one of them

0:20:03.320 --> 0:20:06.320
<v Speaker 2>really is around error correction on the CUBIS, and that's

0:20:06.320 --> 0:20:09.320
<v Speaker 2>what Osla does. It's a very unique inventive way to

0:20:09.400 --> 0:20:12.479
<v Speaker 2>do error correction on the CUBIS that makes a meaningful difference,

0:20:12.560 --> 0:20:15.240
<v Speaker 2>and we're excited about that milestone. You can't get to

0:20:15.400 --> 0:20:18.200
<v Speaker 2>something that has real impact unless you get those milestones

0:20:18.200 --> 0:20:20.120
<v Speaker 2>done along the way, and you invent along the way,

0:20:20.160 --> 0:20:21.720
<v Speaker 2>and it's just another example of invention.

0:20:22.160 --> 0:20:26.119
<v Speaker 1>I feel the learning of how generative AI suddenly became

0:20:26.760 --> 0:20:30.879
<v Speaker 1>not just in the business parlay, but suddenly everyone was

0:20:30.880 --> 0:20:34.119
<v Speaker 1>discussing it. I think people are aware quantum could do

0:20:34.240 --> 0:20:36.640
<v Speaker 1>the same thing. So when you hear people debating between

0:20:36.680 --> 0:20:38.720
<v Speaker 1>two decades or five years, where do you sit on

0:20:38.760 --> 0:20:39.760
<v Speaker 1>the grounder scope of that?

0:20:41.080 --> 0:20:44.520
<v Speaker 2>Gosh, you know, I don't know for sure. You know,

0:20:44.600 --> 0:20:47.600
<v Speaker 2>I would say I'm hopeful that it's more in the

0:20:48.160 --> 0:20:50.960
<v Speaker 2>five ish year range than it is the twenty year range.

0:20:51.160 --> 0:20:54.800
<v Speaker 2>You know, all these things that are successful are seven

0:20:55.040 --> 0:20:57.919
<v Speaker 2>ten twenty year overnight successes. You know, it wasn't like

0:20:58.000 --> 0:21:00.800
<v Speaker 2>you know, if you look at gender of AI, it's

0:21:00.840 --> 0:21:03.199
<v Speaker 2>just kind of another evolution of AI. But we've been

0:21:03.240 --> 0:21:06.199
<v Speaker 2>working on AI for fifty some odd years, I mean,

0:21:06.840 --> 0:21:09.359
<v Speaker 2>and it's just boom, it happened, and it really shocked

0:21:09.400 --> 0:21:12.600
<v Speaker 2>us when it actually was more accessible and worked. And

0:21:12.800 --> 0:21:15.240
<v Speaker 2>I think the same thing could happen with quantum computing,

0:21:15.240 --> 0:21:17.199
<v Speaker 2>which is you know, takes a long time, takes a

0:21:17.240 --> 0:21:18.639
<v Speaker 2>long time, takes a long and then all of a

0:21:18.640 --> 0:21:22.639
<v Speaker 2>sudden it's functional and solves problems that you couldn't solve

0:21:22.680 --> 0:21:25.199
<v Speaker 2>easily or cost effectively before. And it just feels like

0:21:25.200 --> 0:21:28.040
<v Speaker 2>it happened overnight. But quantum computing we've been working on

0:21:28.160 --> 0:21:29.600
<v Speaker 2>now for ten plus years.

0:21:29.960 --> 0:21:32.960
<v Speaker 1>And then the euphoria comes and then people try to

0:21:33.040 --> 0:21:36.280
<v Speaker 1>make head or tail of how long that EUFORIA lasts.

0:21:37.240 --> 0:21:39.560
<v Speaker 1>Going back to the investment that you make, and particularly

0:21:39.600 --> 0:21:41.639
<v Speaker 1>in generative AI, do you think it's going to be

0:21:41.680 --> 0:21:44.879
<v Speaker 1>peak here for generative AI in terms of that investment

0:21:44.880 --> 0:21:47.199
<v Speaker 1>that Amazon makes, I don't know.

0:21:47.280 --> 0:21:51.560
<v Speaker 2>You know, it's funny, I have this feeling that you're

0:21:51.560 --> 0:21:54.440
<v Speaker 2>going to end up with some people that feel disillusioned

0:21:54.440 --> 0:21:57.480
<v Speaker 2>about gender of AI because the investment or you getting

0:21:57.520 --> 0:22:00.960
<v Speaker 2>the commensurate return. It's still very early. So many companies

0:22:00.960 --> 0:22:03.119
<v Speaker 2>that are really doing pilots right now their general of

0:22:03.160 --> 0:22:06.320
<v Speaker 2>AI applications and you read see a little bit of it.

0:22:07.359 --> 0:22:10.919
<v Speaker 2>But I think that the smart companies are going to

0:22:10.960 --> 0:22:14.280
<v Speaker 2>figure out which are the initiatives that can really change

0:22:14.320 --> 0:22:16.960
<v Speaker 2>their customer experience and their businesses and keep investing in

0:22:17.000 --> 0:22:22.200
<v Speaker 2>general AI, and the slower companies are going to wait

0:22:22.240 --> 0:22:24.520
<v Speaker 2>to see if it's safe to go outside, and they'll

0:22:24.560 --> 0:22:27.560
<v Speaker 2>be behind by two or three years, maybe more because

0:22:27.600 --> 0:22:31.280
<v Speaker 2>the reality is even more soll than software development, General

0:22:31.280 --> 0:22:34.760
<v Speaker 2>of AI is very iterative. It's not on software development

0:22:34.800 --> 0:22:36.560
<v Speaker 2>you can get on a whiteboard with a team of

0:22:36.640 --> 0:22:39.480
<v Speaker 2>architects and design something and maybe it doesn't work exactly

0:22:39.520 --> 0:22:42.240
<v Speaker 2>as you design it, but largely you know, whereas in

0:22:42.280 --> 0:22:45.880
<v Speaker 2>general of AI, the models they get better at kind

0:22:45.920 --> 0:22:49.080
<v Speaker 2>of disproportionate rates. Sometimes you know, scaling low.

0:22:49.160 --> 0:22:50.359
<v Speaker 1>Have we've got a new scaling laws.

0:22:50.640 --> 0:22:52.920
<v Speaker 2>I mean, I think that a lot of times when

0:22:52.920 --> 0:22:55.040
<v Speaker 2>you're building models and the model gets so much better

0:22:55.040 --> 0:22:57.040
<v Speaker 2>and you talk to the scientists and the team, they

0:22:57.119 --> 0:22:58.919
<v Speaker 2>just can't believe how much better it got because the

0:22:58.920 --> 0:23:02.280
<v Speaker 2>model is learning itself. And so I think that if

0:23:02.280 --> 0:23:04.960
<v Speaker 2>you actually aren't investing in general AI, you're going to

0:23:04.960 --> 0:23:07.640
<v Speaker 2>be behind by even the amount of time that you waited,

0:23:08.000 --> 0:23:10.720
<v Speaker 2>because there are so many lessons you get from iterating

0:23:10.720 --> 0:23:12.440
<v Speaker 2>and building applications.

0:23:11.800 --> 0:23:14.920
<v Speaker 1>Today, and you want to be the supermarket of AI

0:23:15.240 --> 0:23:18.000
<v Speaker 1>feels like agnostic to the models, as it is with

0:23:18.119 --> 0:23:19.200
<v Speaker 1>Amazon alexaplus.

0:23:19.600 --> 0:23:22.960
<v Speaker 2>Well, you know, look, the truth is what we care

0:23:23.040 --> 0:23:25.960
<v Speaker 2>most about in all our businesses, but as it relates

0:23:25.960 --> 0:23:29.119
<v Speaker 2>to aws and AI, we want our customers to be

0:23:29.119 --> 0:23:32.439
<v Speaker 2>able to change their customer experiences and improve their businesses

0:23:32.720 --> 0:23:35.160
<v Speaker 2>so they can last over a long period time successfully.

0:23:35.200 --> 0:23:37.800
<v Speaker 2>And if we do right by our customers and take

0:23:37.800 --> 0:23:40.560
<v Speaker 2>the long term approach we do, and they're able to

0:23:40.680 --> 0:23:45.240
<v Speaker 2>run their applications successfully on top of our technology infrastructure services,

0:23:45.760 --> 0:23:48.439
<v Speaker 2>then they're successful and we ride along with them. And

0:23:48.520 --> 0:23:51.040
<v Speaker 2>so you know, we in all these areas, we have

0:23:51.160 --> 0:23:53.439
<v Speaker 2>services we build ourselves. In the models area, we have

0:23:53.480 --> 0:23:56.640
<v Speaker 2>Amazon Nova, which people are really excited about because it's

0:23:56.680 --> 0:23:59.320
<v Speaker 2>got comparable intelligence to the leading models in the world,

0:23:59.359 --> 0:24:03.160
<v Speaker 2>but it's meaningfully less expensive and lower latency. But if

0:24:03.200 --> 0:24:06.119
<v Speaker 2>customers prefer to run other models. We have huge partnership

0:24:06.119 --> 0:24:10.679
<v Speaker 2>with Anthropic and with Lama and Mistraw deep Seek. I mean,

0:24:10.720 --> 0:24:14.040
<v Speaker 2>we have the largest collection of leading foundation models in

0:24:14.040 --> 0:24:17.520
<v Speaker 2>the world, and if customers are having success with those,

0:24:17.880 --> 0:24:19.800
<v Speaker 2>then we're happy. And the truth is, if you build

0:24:19.840 --> 0:24:22.679
<v Speaker 2>a lot of general of AI applications, people don't realize this.

0:24:23.119 --> 0:24:26.840
<v Speaker 2>You use multiple model types, often in the same application.

0:24:26.920 --> 0:24:30.640
<v Speaker 2>Even Alexa Plus, as we talked about, uses multiple foundation models,

0:24:31.040 --> 0:24:33.879
<v Speaker 2>and so we want people to use the right model

0:24:34.040 --> 0:24:36.840
<v Speaker 2>for their applications, and then we make it easy for

0:24:36.840 --> 0:24:39.040
<v Speaker 2>them to switch between them and run it easily and

0:24:39.080 --> 0:24:40.920
<v Speaker 2>successfully in AWS.

0:24:40.920 --> 0:24:43.919
<v Speaker 1>Andy Jesse, perfect place to leave it. Start with Alexa

0:24:43.960 --> 0:24:46.760
<v Speaker 1>plus and non Alexa plus and all the generation and

0:24:47.080 --> 0:24:49.280
<v Speaker 1>generative AI that comes with it. We thank you so much,

0:24:49.359 --> 0:24:52.080
<v Speaker 1>thanks for having me. Andy Jesse, President and CEO of

0:24:52.119 --> 0:24:52.560
<v Speaker 1>Amazon