- 4 days ago
For years, AI lived in search boxes and apps, powerful, but confined. The real challenge wasn't making AI smarter. It was making it useful in the moments that matter most, without pulling you away from what you're doing. In this fireside chat, Panos Panay, SVP of Amazon Devices & Services, shares how Amazon is tackling one of AI's most persistent challenges: taking intelligence beyond the screen and into action in the real world. From Alexa+ understanding natural conversation across hundreds of millions of homes, to Ring cameras that proactively alert you to what matters, to Leo satellites extending connectivity and intelligence to places screens have never reached, to devices that fade into the background while working for you, Amazon is building AI tools that go beyond a chatbot window. Panos will explore the momentum behind Alexa+, the architectural and design decisions that enable AI to move from understanding to doing, and his vision for how we'll interact with AI in the future. As AI becomes woven into daily life, the question is whether the next wave of interaction will come through voice, wearables, screens, or form factors we haven't yet imagined, and whether it enhances the moments that matter or distracts from them.
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TechTranscript
00:00Alex Yorick Reviewer
00:19Hello, everyone.
00:23Thank you guys all so much for being here.
00:26My name is Alex Yorick, and I'm an editor at Forbes
00:28where I oversee the 30 under 30 list,
00:30and we are constantly in my job talking about innovation
00:33and things that are changing in our many different realms of business.
00:37So I'm super excited to have this conversation with you today
00:39fusing consumer goods, AI, future of tech.
00:43Thank you so much for being here, Pondos.
00:44I'm excited to be here.
00:46Let's be clear, though.
00:47I am not on the 30 for under 30 list.
00:51You know, there's time for another list, maybe.
00:54We can create something else.
00:55We have to double the age and then see what happens.
00:59Perfect. That's fine.
01:00Well, let's start off by you letting everyone know
01:02a little bit about you, who you are, what you do at Amazon today.
01:06So I'm the senior vice president.
01:08I oversee devices, Alexa, and Amazon Leo.
01:14Got it. Okay.
01:15I'm the senior vice president.
01:17I oversee Alexa, Leo, and all devices at Amazon.
01:20So if you think about from Fire TV to Eero to Photos to Echo, Alexa, Ring, Blink,
01:29and you just tie all these products together, that's where my responsibility lies.
01:32And, of course, we're launching this pretty amazing satellite constellation right now as well.
01:36There have been so many innovations across these AI tools and how consumers are using them.
01:42But I think at least, you know, within the, like, young people in the U.S.,
01:46which is mostly who I'm talking to, interviewing,
01:49depending on who you ask, the sentiment around AI devices,
01:52especially AI devices at home, varies widely.
01:55So what are you seeing right now in terms of consumer sentiment
01:58and why and how people want to use your, you know, products today?
02:03I think there, look, there's a lot of excitement around it because they're useful.
02:07Like, there's a lot of AI that's there.
02:09It's a prompt box.
02:10You type into it.
02:11You maybe create a document, which is also useful, but in its own individual way.
02:16When you have ambient AI or AI in the home, you start to see very different use cases.
02:23And when you talk about the younger generation, they get pretty excited about it.
02:26The engagement from, let's say, the under 30s is extremely high on Alexa right now.
02:32I know we have hundreds of millions of people using Alexa every day in the home,
02:35but you have to think about it.
02:36This is AI that's managing the household and is there all the time.
02:40It's instantly ready for you.
02:43And with the generation you talked about, my perspective and what I see is
02:47they've grown up with technology as almost a companion.
02:54And, like, for me, I grew up and technology was a tool.
02:58There's a huge difference.
02:59Like, you know, I'm using it as a tool to get something done.
03:03If you look at my kids right now, technology is a companion.
03:06It's with them all the time.
03:08And so just a different generation in the way they think.
03:11And now we've kind of put it in the home.
03:14It's full speed.
03:14We have 100 millions of people using it.
03:16They're doing all kinds of different things on it.
03:18And the younger generation is just, they're more aggressive at trying new things
03:22and just pushing boundaries.
03:23How has the use cases or just, like, amount of usage changed over the last,
03:29let's say, like, five to ten years?
03:31Because, again, like, so much has happened.
03:32So many new products are available.
03:34AI has gotten so much better.
03:36What have you seen in terms of, like, tangible changes or ways that you guys
03:40at Amazon have had to then, you know, change the way that you're working,
03:42other products that you're putting out based on what's changing in the rest of the world?
03:46Yeah, there's a long list of things that have changed.
03:50And, you know, think about ten years ago.
03:52Here we are talking about AI devices again.
03:55Ten years ago, you would say Amazon invented, like, was at the forefront of inventing AI devices.
04:01And we're kind of at the forefront of inventing them again.
04:03And through that journey, like, how much has changed is incredible.
04:07What's happening now is probably the most important thing.
04:10You see people, like, think of Alexa, when you think of Alexa Plus,
04:14which is a great way to frame it because then you can kind of see the use cases.
04:17You have people having natural conversations just ad hoc all the time.
04:21Phone stays in the pocket.
04:23Questions get answered.
04:24You're at the dinner table having a conversation.
04:26My house right now looks like this.
04:27We have dinner.
04:28We put our phones in the pocket.
04:29We won't take them out.
04:31It's like a rule.
04:32Have you been through this, like, when you're at dinner and you're having dinner with somebody?
04:35My mom tries to institute that rule, but then she's the one that ends up being on her phone.
04:40This is crazy.
04:41So I'm so guilty of this, I have to tell you,
04:44because I'm like, I've got to do some work.
04:45Like, this dinner is taking too long.
04:47There's always something she needs to pick it up for.
04:48Yeah.
04:49So, you know, you put this rule in place.
04:51You're like, no phones at the dinner table, which is a common thing.
04:54And it doesn't really work because at some point we're having a conversation
04:59and there's a real good excuse at some moment where you're like,
05:03I don't know the answer to that.
05:04Do you know the answer to that?
05:05No.
05:05And then what do we do?
05:06What do we traditionally do?
05:07My mom looks it up on her phone.
05:09Look it up on your phone.
05:09But what really happens?
05:10Here's what really happens.
05:11You take your phone out, there's at least some number of notifications.
05:16For me, there's 15 to 20 every time I take out my phone.
05:19Those are a distraction.
05:20I then pretend I'm looking up the answer while I check my notifications,
05:23which happens to everybody.
05:25But what really happened is I gave my kids permission to take out their phone.
05:28That's what actually happened.
05:29So when your mom takes out her phone, I'm pretty sure at that point you're like,
05:32well, might as well take out my phone.
05:35And it's almost like this compulsory, this thing's going down and it keeps happening.
05:39Think about what's in the home now.
05:41And for us, it's changed.
05:42Alexa's just at the dinner table.
05:44This is happening for a lot of people.
05:45So when you say, what are they doing more of?
05:47Just ask the question.
05:48Phone stays in the pocket.
05:49We stay present.
05:50This is so powerful.
05:52Here's why it's powerful.
05:53Because we stay connected.
05:54So if our technology can be as useful as connecting two people and keeping them connected,
05:59for me, it's like a dream state.
06:01And that's happening right now.
06:02So what has been the change and research and development process for Alexa Plus versus
06:08original Alexa or the earlier versions?
06:10What did you guys want to implement?
06:12And I've heard you talk about it.
06:14You want it to be more conversational, more human-like.
06:16What did that look like in practice to make that possible?
06:18It was just baselining, replacing the entire technology, re-architecting it.
06:22So it had an LM-based architecture from AI standpoint.
06:26But it wasn't just getting to that point and replacing the guts of the product.
06:31It was also maintaining some of the most critical things that people have been indirectly
06:35using AI for forever on Alexa.
06:39It's so easy to go have a conversation.
06:41It's hard to get the conversation right internationally, make sure it fits the culture, make sure it
06:45fits the principles of where it's working.
06:47One size doesn't fit all.
06:49But probably more importantly is how do you keep it useful while re-architecting from an
06:54LLM standpoint underneath the covers?
06:56And that's what we did.
06:56So right now, when you look at Alexa Plus, not only do you have more conversations, I
07:01think shopping has tripled.
07:02That means it's like hands-free shopping is an incredible experience.
07:06More people are cooking together.
07:07You see the doubling of recipes, uploading artifacts, whether it's pictures or fundamental
07:12documents or a PDF and just having a conversation with it.
07:16You start seeing people make it more and more useful every day.
07:20Then you have managing the whole home.
07:22You have watching your cameras.
07:23And so you have these foundational elements, which we call domains, that people lean into
07:28because for the product to be useful, it's got to help you in the house.
07:32And that's unique specifically to RAI.
07:35I don't think that really happens with anything else right now.
07:38And so we had to maintain that while we replaced kind of the underbelly of the product.
07:44And right now, we're seeing significant results because of it.
07:47Let's talk about that regional and language component a bit.
07:51Because as we're sitting in Europe, an American company with a bunch of Europeans and probably
07:56others from across the globe in the audience who may use Alexa, how has that then gone into
08:03how you guys are building new technologies?
08:05I know that when you guys launched it, you had an example that you guys posted about French
08:10language and talking about the colloquialisms.
08:12A little bit dorky.
08:13Yeah.
08:14Well, no, I don't think so.
08:14I thought it was fun.
08:15I liked it.
08:16Okay, good.
08:16Can you talk a little bit about that, though?
08:18I was hunting for a compliment.
08:20Here's the deal.
08:23You're kind of nailing it.
08:24You can't build a product in Seattle and then disperse it everywhere and hope it works.
08:32When you're trying to get international understanding of your product, especially when it comes
08:37to the nuance of an Alexa Plus, I think a lot of people use the word language like it's
08:43linguistics.
08:44It's not.
08:45I think the language is probably the easiest part.
08:49I would say you're building for culture.
08:52Like the local humor, the catchphrases, the understanding or nuance of a dialect.
08:59Think about France.
09:00You got to be a little bit more sassy with your Alexa.
09:03You have to be a little bit more terse, shorter, maybe more direct.
09:07And, you know, if you don't do it relatively or if you don't understand the local like phrases
09:12or catchphrases, I don't speak French and I'm embarrassed.
09:15I think it's one of the most beautiful languages in the world and I wish, I wish, and I'm embarrassed
09:20to say I don't, but I will say the whole point is I'm not the one who should be building
09:25the French product.
09:27The French need to.
09:28Because you have to understand the culture.
09:31And that's the biggest word.
09:32When you're building a product for a region, you must build for the culture.
09:37You can't just change the language.
09:39Which is why I took so much heat on like why is it taking you so long to get international?
09:43Like we will make sure that when we come into a region, specifically a country, that we
09:49understand the culture level and then we're able to build the product.
09:52I think people think like just change the language and ship it.
09:54I think the first thing you do is offend everybody in the country because it's not how language
09:58necessarily works.
09:59The nuance probably matters a lot more than the actual change, if you will, in the linguistics.
10:04And so then what does that mean on your guys' end?
10:06Is it like French employees?
10:08Is it French consumers that give you feedback?
10:10How is that feedback loop really informing what you guys are building?
10:13Yeah.
10:13The answer is yes.
10:15And like to both.
10:16You go into early access.
10:18You test.
10:19You have very early adopters of technology.
10:21Generally a younger generation coming all in because they want the usefulness and so forth.
10:25You're dealing with partners like, you know, local Uber, local food ordering, like making
10:30sure you understand that part of the culture and what it really means to make sure those
10:33services come to life.
10:34And really the team is here or in Italy or in Sao Paulo or in Mexico.
10:40You have to be global that way.
10:42Otherwise, back to the point, like you're building something and hoping and you can't.
10:46And so it's a combination of customer, it's a combination of the team and partners.
10:50And, you know, one of the things that we pride ourselves on like immensely, and I think
10:54you all know this, but I'll just say it because we're passionate about it and it's true.
10:58Like we obsess on the customer.
11:00What does it really mean?
11:01It means listen, like listen like hell.
11:04You have to listen and you have to take the feedback and you kind of have to be humble
11:08about it when you get the feedback and you got to adjust.
11:11And sometimes the feedback's a little bit off and you got to filter that out.
11:14You got to make sure you're listening to the right things.
11:16But ultimately, we spend a lot of time listening to the customer and then the local team will
11:20adapt and build the product.
11:21Like, by the way, I'm the worst culprit here because what I do is I just keep pushing.
11:25I keep pushing.
11:26Like one of the leaders for our international team, his name is McKellie.
11:29I call, I give him, McKellie hears from me daily.
11:30Like, let's go.
11:31We got to get to France.
11:32We got to get to France.
11:33We got to get to France.
11:33And he's like, Pano, we got to get it right.
11:35And, you know, that perfection, this team that I get to work with every day is incredible.
11:41And they strive for perfection.
11:43They want to get that like right down to the nuance.
11:45And of course, you never get perfectly there.
11:47But I think it's that obsession for the customer that gets us in the right place.
11:51I've also heard you say, though, that sometimes the customer doesn't know what they want or
11:55like they don't know maybe how to articulate it.
11:57How do you balance customer feedback with what Amazon is trying to build and making sure that
12:03you guys are still staying true to your core?
12:05That's a thoughtful question.
12:07It's probably one of the most challenging things in product making.
12:11When your customer is like telling you what they want, but you know it's wrong, which sounds
12:18crazy, right?
12:18It sounds the exact opposite of what I just said.
12:20Here's why.
12:21The reason you know it's wrong is because you have a vision for where the product should
12:23go.
12:24And you understand what technology is in the lab.
12:26And you just have a different purview of what's coming.
12:29And what the customer is asking for is actually like three steps behind.
12:34And you know that if you give them the three steps forward that they can't quite see yet
12:38or predict, they would have never asked for what they're asking for.
12:42But finding that balance is super tricky.
12:44It's super tricky because when you're wrong, what have you done?
12:47You've actually just pissed off your customer.
12:48And that is that's the one thing you can't do.
12:51You can't lose that trust.
12:53And so this team looks for that balance.
12:56I say the best way to do it is you're always listening, always listening, but you have
13:01to anchor in what the vision of the product is.
13:02And if you're anchored, if you know where that flag is planted, then you can really use the
13:08feedback to guide you.
13:10And every now and then, maybe you don't take it all the way to the hill because you know
13:13where the flag is, but you use it to guide you.
13:16You make some adjustments.
13:17You do what you can to support the customer.
13:19But when the next release comes, you have a delighted customer and you're in good shape.
13:22Do you have any examples of either the like positive or the negative side of kind of that
13:27experience you're talking about where you guys built something or, you know, made an
13:31update that really worked or that you guys thought was going to work, but it didn't end up landing
13:35with the customers?
13:38Yeah.
13:40There are customers like when we first launched Alexa Plus, there were a few customers and they
13:47were pushing very hard on some of the traditional experiences.
13:52And they didn't want it to change.
13:55So when you have hundreds of millions of customers already using your product and then you come
13:58in and you're like, here, use it this way now.
14:01There's a good amount of those customers that are like, I don't want to.
14:04I want to use it the way I did.
14:05But your vision is, but if you just take the new product, eventually, you know, you habituate
14:11and it's like, wow, thank you.
14:13You know, it's great.
14:14But during that transition, you really have to be patient because the customer is going
14:19to ask you like dramatically, like, I need this still.
14:24I've been, I've been, I've used it.
14:26I've used it the same way every day.
14:27And now, and then you were kind of teaching, like, this is so funny.
14:31Like, I want to set an alarm.
14:32Like, well, then set an alarm.
14:33I want to set it the exact same way.
14:35I used to say it this way every time.
14:38And then you're like, well, but you can say it any way you want now.
14:42You know, and what happens is you give it to the customer, say it any way you want.
14:46And they're like, but I would just want to do the way I did.
14:49And then you're like, okay, you give that to them.
14:51You increase latency by 200 milliseconds.
14:53And the customer is like, I don't want that.
14:56I don't want that at all.
14:57They're like, oh, oh, no, you asked for it.
14:59And I gave it to you.
15:00And so then you realize really quickly, wait a minute, stick with your vision, you know, deliver
15:04it.
15:04And now I think it's like, you know, it's just a huge delighter for people.
15:07Something that I find really interesting about this kind of new version of Alexa is the
15:11predictability that she or it is able to have in terms of, like, helping you without you
15:17maybe knowing that you need help for something.
15:19What is the process like to build those technologies?
15:22And what are you guys kind of, like, aiming to create with this, like, very, you know, capable
15:28and predicting tool?
15:30Yeah, the way I think about it is you went from, and we're moving from, I don't think
15:35we're there yet, honestly.
15:36But we go from command and control where the user is commanding something and then Alexa
15:41is bringing back the control point where you think about what you want to ask.
15:45The dream is we move from command and control to context where Alexa just understands what
15:50you need next and creates an aspect of action for you and provides it.
15:54Like, the scenario of you're having dinner at the dinner table and you fundamentally, Alexa,
15:59you invite her to the conversation, she raises her hand and she's just part of it versus waiting
16:03for you to just directly ask a question.
16:06Or, like, the state of you wake up in the morning, walk into the kitchen, Alexa knows you're in
16:11the kitchen, understands your presence is there, says good morning, recognizes you didn't sleep
16:15well, looks at your calendar, makes an adjustment later in the afternoon to make sure you have time
16:19to take a walk and, like, get your heart rate where it needs to be and maybe do your recovery
16:23because it understands just enough for what's best next and where the customer is in full
16:28control to decide if they want that or do they not want it.
16:30But here's what I'll say, like, the process, funny enough, well, is, like, any great assistant,
16:37and if you think about Alexa as a great assistant, the more information you give your assistant,
16:41the better your assistant's going to be.
16:43Now, here's the trick.
16:45How much information do you want to give your assistant?
16:49And what we find, back to the younger generation, like, everything.
16:55And when you come to my generation, like, nothing, you know?
16:59And so there's a divide, and I think that's good because I think here's what it comes down to.
17:04You have to build these products with trust in mind.
17:07That's, like, the most important thing.
17:09It's almost ground zero for design when it comes to AI, especially with ambient AI,
17:15AI in the home or AI that's going with you.
17:17Because, you know, when you're on your phone and it's an individual thing, I would posit that's not so hard.
17:21It's just you and the AI, and it's right here, and you're typing, and you're getting a response.
17:25When you're managing a household, you're managing devices, you're managing everything that's happening,
17:29and it's communal.
17:31Like, it's a little trickier.
17:32You've got to make, you know, how much data does it have?
17:34How much have you given it?
17:35And the more you give it, the more effective it is, to your point of being what I call proactive.
17:40But if you do it, if you design these products with trust, which means we have a contract with the
17:45customer at the end of the day,
17:46where what we're doing is we're building in privacy, we're building in security, and we can't break that contract.
17:52We can't break the trust contract.
17:54Because, obviously, once you do, then nobody's going to want to use the product.
17:59But if you know the trust is in place, then you're willing to engage the product deeper.
18:04And the deeper you engage the product, the more useful it is for our customers.
18:07And we see it.
18:09We see it incredibly so.
18:11And so, right now, we spend a lot of energy in that space because it becomes the most important thing.
18:17Because, over time, you're going to want to give your AI assistant more information.
18:21You're going to want to.
18:22But you're going to pause, and you're going to ask yourself, should I?
18:27And, of course, you know, my answer is you should.
18:30You know, we keep it secure.
18:31We encrypt the data going to the cloud.
18:32We have a secure cloud.
18:34We make sure that we leave things on the device that should stay.
18:36And, fundamentally, as that trust builds, you give more information.
18:39Now, all of a sudden, your assistant is truly proactive.
18:41With all these different use cases, people are using AI tools more and more and more and more for everything
18:47in daily life, to your point.
18:50Something that I have younger siblings, and I talk to them a lot about, is my brother is applying for
18:54jobs right now.
18:55And, like, all of his, not all of his, some of his cover letters have been at least prompted by
19:01AI.
19:02And while I think that there's, like, so many instances, or, like, in school or whatever,
19:06so many young people are using it to write, to think for them, maybe to be a little bit proactive
19:11like that.
19:12Where do you draw the line in terms of, like, you guys want people to use your products more and
19:16more,
19:17but is that good for humanity?
19:19Is that good for critical thinking skills?
19:21How are you guys thinking about these sorts of things internally?
19:24I think they're, I think these tools can be powerful for the simple reason that you, they enable more human
19:32ingenuity.
19:33And so, even for your brother, how old's your brother?
19:36He's 21.
19:37Okay.
19:38Or something.
19:38I assume he's trying to get on your list of...
19:40We'll see if he gets there.
19:42Okay.
19:44Nepotism, conflict of interest.
19:45You know, I have four kids, all under 30 years old, and they're teaching me more about AI than I'm
19:53teaching them.
19:55I think it's, I think that's so powerful.
19:58One, I get better for it, and I watch them use it, and of course, then I get to use
20:02it in the product.
20:03But as I watch it happen, here's what I would say.
20:06Like, the truth is, I think it's okay.
20:10It's good.
20:12The human is the input.
20:14The younger generation is the input.
20:18And ultimately, the output just enhances that cycle of, like, you know, the token output.
20:23Think of it that way.
20:24But the input is the ingenuity.
20:26And that only sharpens.
20:28Now, I do think it's important.
20:30Just in the last talk, like, writing is critical to thinking.
20:33Reading is critical to thinking.
20:35But you will...
20:36That virtuous cycle is still in play.
20:38Like, what it means to continuously sharpen your tool set, it is about that ingenuity that you get.
20:45And I do think that it's good, even for your brother.
20:48Like, let the simple outputs be the simple outputs.
20:51Now, if it's all cheating and no thinking, but it's like anything else.
20:55That existed before AI.
20:57Promise you.
20:59You know, kids used to cheat on tests long before AI existed.
21:03People copied other people's homework long before AI happened.
21:06I'm not saying I did, by the way.
21:08I mean, I might have.
21:09But, like, fundamentally, like, those baselines haven't changed.
21:13So, it's more around as the tools come into play.
21:16And like I said, a younger generation is like a relationship with this technology.
21:21In that relationship, if those inputs stay continuously being, you know, that ingenuity is flying, I think it's actually quite
21:28powerful.
21:30Speaking of reliance on technologies, I want to talk about Leo a little bit.
21:34Because this is something that I think all of us are reliant on internet, on broadband access, regardless of if
21:40we want to use the internet or not.
21:42We need it for our daily lives today.
21:43Can you tell everyone a little bit about Leo, what you guys are doing with that, and who you guys
21:46are hoping to serve with that product?
21:48Yeah, for sure.
21:49So, I don't know.
21:49Like, this is a statement that I think people almost dismiss or don't hear.
21:54But there's over 2 billion people in the world, 2 billion people in the world right now, I think it's
22:00like 2.6 or 2.4, that don't have reliable internet.
22:04Like, just imagine that for a minute.
22:06If you're in this room, it is likely you have reliable internet.
22:10So, you dismiss the comment.
22:11But the truth is, like, the ability to impact the world and bridge the digital divide where you can connect
22:17all human beings at almost like an equal level, so powerful.
22:21And so, like, that's what Amazon's doing.
22:23It's that simple.
22:24It's bridging the digital divide, and I think that gets dismissed.
22:26But we're doing it, like, with unbelievably fast internet from space.
22:30We're doing it affordably.
22:32And we're doing it in a way where it doesn't matter where you are, you're going to get it.
22:35And that's one of the dreams.
22:37The other thing is, and we just, we're working in an acquisition of a company called Global Star, where what
22:43I just talked about was broadband, where we're launching satellites to create a fundamental broadband connectivity or internet connectivity.
22:51But we're also, with Global Star, we're bringing in Spectrum to create a narrow band.
22:55And in three to four years, we're going to be carrying more devices than we're carrying today.
23:00And we fundamentally, those AI devices are going to be input mechanisms, a way to stay connected, a way to
23:05think, a way to keep your assistant with you.
23:08And those need to be powered as well.
23:10They need to be connected.
23:11And we're also using our satellites to connect those.
23:14So it really is, like, billions and billions of people potentially taking benefit from it.
23:20And it is about Amazon, you know, bridging that divide for the world.
23:24Where are you at right now with these satellites?
23:26Like, who currently has access to the internet that's being provided?
23:29Where are we at stage five?
23:31It's a great question.
23:31It's a great question.
23:32We're early in the cycle, but probably further along than people know.
23:35We have four different rocket providers.
23:38We have five different rockets that we use.
23:40We've launched 367 satellites to date.
23:43We just had a launch yesterday at a French Guiana with Ariane Spas, which is cool, like a French company.
23:49So inspiring.
23:50And this Constellation is building.
23:52We're building full end-to-end satellites on a weekly basis out of the U.S.
23:58Constellation will be up and working later this year for customers to start using it.
24:02It's pretty exciting.
24:03It's super exciting.
24:04We're almost out of time.
24:05Last question, or two-part question I have for you.
24:08What is one prediction you have about the future of how people are going to be using AI technologies in
24:13their home?
24:13And what's your best piece of advice or like a use case that you feel like people aren't taking advantage
24:17of enough that might really increase productivity, happiness, whatever?
24:22Wow.
24:22I mean, you saved the zingers for the end.
24:28Here's what I'd say.
24:31For everybody in this room, even though probably a major part of this conference has been focused on AI or
24:36transistors or silicon,
24:39just remember, like, we, if you, if this was a journey of 100 miles, I think we're still on mile
24:47two.
24:50And, you know, we're in the first quarter, if you will, of any match.
24:56And keep that in mind.
24:58Like, in other words, you're not behind.
25:03And I think a lot of people are like, well, should I give up on it now?
25:05Am I, am I on the, you know, is it, am I too late?
25:09Should I be investing more time?
25:11And, like, to bring all of it together, I think right now, like, the tools that are available to us
25:16are just the beginning of, like, pushing us into human ingenuity.
25:20I would lean into them now.
25:23And I think in five years, the world looks very different, like, fundamentally in great ways in where people will
25:30be able to create more, do more, see more, learn more.
25:34And it's AI that's going to push us there.
25:36Hanus, thank you so much for joining me today.
25:38Thank you guys for listening in.
25:39Appreciate it. Thanks, Alex.
25:40Yeah, thank you.
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