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Speaker 1: Bloomberg Audio Studios, podcasts, Radio News Emily. I don't know

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Speaker 1: if you saw this earlier, but Amazon is reportedly developing

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Speaker 1: smart eyeglasses to guide its delivery drivers around and within buildings.

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Speaker 1: This according to Reuters, who cited five people familiar with

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Speaker 1: the matter. If these work, glasses would navigate drivers on

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Speaker 1: a small embedded screen along routes and at each stop.

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Speaker 1: The ideas that it aims to reduce delivery time.

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Speaker 2: What do you think so because you see it in

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Speaker 2: your vision field instead of having a look onto the

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Speaker 2: dashboard of the truck runder or.

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Speaker 1: No, or when you're walking around holding a package, you're like, Okay,

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Speaker 1: this is exactly the house it needs to be delivered to.

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Speaker 2: Yeah.

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Speaker 1: Kind of a cool little USh for I should note.

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Speaker 1: An Amazon spokesperson told Reuters it is continuously innovating to

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Speaker 1: create an even safer and better delivery experience for its drivers,

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Speaker 1: but it would not compliment comment on its product roadmap.

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Speaker 2: I want to see, like a prototype, what they would

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Speaker 2: look like.

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Speaker 1: I think this is a real use case for smart

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Speaker 1: you know, for like the Google glass type thing. They've

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Speaker 1: been used for quite a while. They never caught on

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Speaker 1: with consumers. They're trying to make that happen at Snap

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Speaker 1: and at Meta. Still we'll see if it happens, but

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Speaker 1: the industrial use case is certainly interesting. We got with

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Speaker 1: us Ty Brady's chief technologist for robotics at Amazon.

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Speaker 2: Tie.

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Speaker 1: I'm not gonna put you on the spot and ask

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Speaker 1: you to comment about this report because we already got

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Speaker 1: a comment from an Amazon spokesperson, but it does talk

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Speaker 1: a little bit about innovation happening at Amazon. I know

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Speaker 1: you guys did this interesting survey with MIT on what

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Speaker 1: AI could mean for workers. Before we get to that,

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Speaker 1: just give our viewers our listeners an idea of the

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Speaker 1: role that robotics play right now at Amazon.

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Speaker 3: Well, first of all, it's a pleasure to be here,

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Speaker 3: and thank you for having me onre I really appreciate it. Boy.

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Speaker 3: I'll tell you the age of physical AI is here

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Speaker 3: and it is really proving useful for our customers. We

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Speaker 3: have our robotic systems inside of our fulfillment centers. We

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Speaker 3: actually just roll our next generation fulfillment center down in

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Speaker 3: Louisiana and we're seeing a lot of returns and gains

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Speaker 3: on that.

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Speaker 1: Is this the Kiva system that Amazon bought over a

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Speaker 1: decade ago.

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Speaker 3: Wait, it's based on that. That is part of it.

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Speaker 3: What we do is that we have robotics that can

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Speaker 3: move goods, that's part of the Kiva systems, but also

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Speaker 3: robotics to store goods and sword goods and identify all

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Speaker 3: the various goods. And we have this in this next

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Speaker 3: generation fulfillment center where we have ten times the amount

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Speaker 3: of robotics that we've ever had under one roof, and

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Speaker 3: we're already seeing that we can process those orders twenty

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Speaker 3: five percent faster and also pass along to a lower

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Speaker 3: cost to our customers.

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Speaker 1: Just proving just so we understand when when we order

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Speaker 1: something on Amazon using the app or using the browser,

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Speaker 1: does a robot now pick that item at fulfillment center?

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Speaker 1: Is it still a human being?

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Speaker 3: Yeah, it's It's an amazing, amazing series of events that

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Speaker 3: actually happens. When you go on Amazon dot com. You're

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Speaker 3: getting your holiday order redder ready. Of course, want to

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Speaker 3: have the world's the largest selection of good for our

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Speaker 3: goods for our customers. We want to process that at

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Speaker 3: a low cost and then have the ultimate customer convenience,

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Speaker 3: and robotics is helping all along that way. Right, people

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Speaker 3: and machines working together, we have AI systems that source

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Speaker 3: that put the right products in the right area so

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Speaker 3: that can be closer to our customers. That helps on

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Speaker 3: our delivery times. We have robots that move safely around people,

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Speaker 3: that we inbound those goods into our buildings where it

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Speaker 3: can take on more goods, put more goods in the

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Speaker 3: same footprint as we've had as compared to our manual buildings.

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Speaker 3: We can store actually forty percent more goods, and then

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Speaker 3: we have robotic systems that help sort and even package

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Speaker 3: those items for our customers. All this is so that

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Speaker 3: we can just have the ultimate in customer convenience and

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Speaker 3: get the right good to right to the customer's door.

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Speaker 2: Ty, what is a twenty twenty four robotics system and

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Speaker 2: how is that different than the systems that we saw

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Speaker 2: ten fifteen years ago. I'm just thinking about how you

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Speaker 2: to watch that show how it's made, and it would

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Speaker 2: show factories and there were always robots working in the

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Speaker 2: factories and moving things along conveyor about So what is

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Speaker 2: so different about, you know, the twenty twenty four robotics.

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Speaker 3: That's such a great question. We have really seen just

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Speaker 3: just huge advancements over the last few years when it

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Speaker 3: comes to robotics. This is why we call it physical AI.

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Speaker 3: It's really the embodiment of adaptive behavior in our robotic systems.

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Speaker 3: But our robotics systems shouldn't be viewed as singular and

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Speaker 3: as alone as just machines. Instead, what we do is

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Speaker 3: we build our machines to extend human capability. We build

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Speaker 3: our machines to augment folks to do their jobs better

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Speaker 3: and create a safer environment for them. We've seen those

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Speaker 3: benefits in the last four years with regards to safety

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Speaker 3: and also in regards to the efficiencies and the productivities.

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Speaker 3: But the big you know, I could talk about more

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Speaker 3: and more of the robotics that we've seen, but we

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Speaker 3: also have to I think the big mindset is when

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Speaker 3: you reframe your relationship with machines. Yeah, people first attitude

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Speaker 3: towards of how we build those machines that allows people

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Speaker 3: to do more. And now we are upscaling. We put

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Speaker 3: one point two billion dollars into an upscaling pledge for

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Speaker 3: our employees. And then we, as Tim said, we funded

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Speaker 3: this independent study with MIT in order to understand the

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Speaker 3: perception of technology and how people adopt machines and AI

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Speaker 3: into their work environment.

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Speaker 1: So Let's talk a little bit about that, because I

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Speaker 1: think you hit on a really important point here, and

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Speaker 1: it's the idea that and I was kind of joking

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Speaker 1: about this a little while ago. I was like, can

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Speaker 1: these robots be programmed to love? But the fact is

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Speaker 1: is you do have to be comfortable being around automated

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Speaker 1: things that could look like humanoids. They might not look

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Speaker 1: like humanoid robots. What did you find through this collaboration

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Speaker 1: with MIT about how people want to interact or need

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Speaker 1: to learn how to interact with machines.

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Speaker 3: It was a fascinating study. It was actually groundbreaking. MIT

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Speaker 3: enlisted to IPSOS to survey more than nine thousand people

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Speaker 3: across nine different countries to understand how they perceive technology,

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Speaker 3: because perception is really important to adoption, even to innovation. Right,

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Speaker 3: as I said, we put people at the center of

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Speaker 3: the robotics universe. We really want to understand how people

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Speaker 3: and if they will adopt technologies. And broadly we found

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Speaker 3: the study found that a majority of people see robots

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Speaker 3: having a positive impact on their pay and on their career.

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Speaker 3: And there's three key three key findings that came along

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Speaker 3: with that. First of all, if people are asked to

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Speaker 3: work at a higher level and can focus on higher

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Speaker 3: order tasking. Then they're more keen to adopt technology, and

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Speaker 3: they're more optimistic when it comes to the use of

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Speaker 3: the technology for their own career goals in their own pay.

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Speaker 3: The second is if they felt valued by their employer. Right,

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Speaker 3: So being valued is both are you working in a

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Speaker 3: safe environment and do you have a great benefits in

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Speaker 3: pay And Amazon we're really proud of the benefits and

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Speaker 3: pay that we offer our employees, and also through automation,

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Speaker 3: we're actually reducing the number of recordable injuries significantly over

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Speaker 3: the past four years. And then the last part is

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Speaker 3: really those that want to learn more and take control

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Speaker 3: of their career. So if they want to learn and

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Speaker 3: grow in their career, they're more optimistic for technologies. And

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Speaker 3: that was really good good news for us as we

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Speaker 3: put in one point two billion dollars into upskilling our employees.

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Speaker 3: So they're good signals. But we're not done yet because

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Speaker 3: this is across many many workers, across many industries, and

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Speaker 3: we're going to follow on the study actually a survey

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Speaker 3: of our Amazon employees directly because we're always interested in

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Speaker 3: the voice of our customer, the voice of our employees,

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Speaker 3: and we always want to make this safe for more

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Speaker 3: productive environment.

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Speaker 1: What's a takeaway that you had from the survey about

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Speaker 1: how you're going to either design or implement robotics across Amazon, Like,

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Speaker 1: what's one actionable thing you took away from this?

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Speaker 3: Well, the first action that we had is that we

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Speaker 3: actually want to fund more studies. We want to fund

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Speaker 3: the study, particularly for Amazon employees, so we can hear

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Speaker 3: directly for them of their perception and how robotics is

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Speaker 3: really augmenting and extending the capability. So we are the

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Speaker 3: voice of the customers. Our first actual takeaway that we

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Speaker 3: have from the study. The second is really validation of

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Speaker 3: our philosophy that of putting people the center of the

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Speaker 3: robotics universe. Right, It's this validation of augmentation and extension

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Speaker 3: and allowing people to do what they do well, thinking

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Speaker 3: with common sense and reasoning and really understanding the problem

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Speaker 3: at hand. People do this amazingly well. So our job

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Speaker 3: as roboticist is to complement that amazing skill that our

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Speaker 3: employees have that people have with machines that can be

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Speaker 3: better designed. So very concretely, for example, we have a

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Speaker 3: robot called Proteus that is free roaming inside of our

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Speaker 3: fulfillment centers that moves goods on demand, and it understands

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Speaker 3: where people want to be, and people can look at

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Speaker 3: the robot and understand what the intent of that robot is.

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Speaker 3: So its job is to move these vessels of goods

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Speaker 3: to our dock doors safely, and it's fully around people. Right.

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Speaker 3: So the concrete actual thing is here is that we

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Speaker 3: are getting this really strong validation that by extending and

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Speaker 3: augmenting human capability, not only can we and more productive,

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Speaker 3: but we can also create a safer environment.

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Speaker 2: We don't have a ton of time left, but I'm

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Speaker 2: curious when you talk to Amazon employees, what are some

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Speaker 2: of the biggest concerns that they have when it comes

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Speaker 2: to robotics in action.

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Speaker 3: Yeah, well, we always think about the voice of the

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Speaker 3: customer first and foremost. It is one thing in order

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Speaker 3: to do like a robotic system in your lab and

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Speaker 3: convince yourself that it's going to work in the lab.

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Speaker 3: But when we roll out what we call our alpha

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Speaker 3: and beta employments with our customers, we get first hand

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Speaker 3: their quotes of what is working and what is not working.

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Speaker 3: We should build our machines too that you can reasonably

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Speaker 3: and tangibly use the machine in very intuitive ways. Right,

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Speaker 3: You shouldn't have to have eighteen degrees in order to

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Speaker 3: figure out how to use the machines, And we get

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Speaker 3: that feedback quite often to say, it needs to be simpler,

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Speaker 3: it needs to be less complex, and it needs to

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Speaker 3: have the utility in order to extend and complement human creativity.

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Speaker 1: We're going to have to We're going to have to

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Speaker 1: leave it there. Ty, do appreciate you joining us. Ty Brady,

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Speaker 1: chief technologist for robotics over at Amazon, joining us this

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Speaker 1: afternoon from Boston