WEBVTT - AI Gender Skills Gap, Bitcoin and Energy 

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>You're listening to Bloomberg Business Week with Carol Masser and

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<v Speaker 2>Tim Stenoveek on Bloomberg Radio.

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<v Speaker 3>Well, it seems like everybody is talking about AI, but

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<v Speaker 3>the question is is everybody using AI? We talked a

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<v Speaker 3>little bit about this with Vinnie Catalano. Yeah, he said

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<v Speaker 3>he's like going all in on us.

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<v Speaker 4>He did, Yeah, which is kind of funny.

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<v Speaker 3>It turns out my takeaway from that conversation is I'm

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<v Speaker 3>no Einstein.

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<v Speaker 2>But neither are you.

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<v Speaker 3>No Exactly, Well, it turns out there are some stark

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<v Speaker 3>differences when it comes to who is engaging with the tech,

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<v Speaker 3>and it actually falls along gender lines. Check out this

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<v Speaker 3>research Carol Harvard Business School Associate Professor Rembrandt Koning found

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<v Speaker 3>that women are using new AI tools at a lower

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<v Speaker 3>rate than men, about twenty five percent, according to the

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<v Speaker 3>research cited in a story last month. In a post

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<v Speaker 3>from Harvard Business School, curious what Jenny Troutman thinks about this.

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<v Speaker 3>She's director of Training and Certification at Amazon Web Services.

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<v Speaker 3>Of course we refer to it as AWS. She joins

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<v Speaker 3>us from Houston, Texas. Jenny, I know you watch the

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<v Speaker 3>way that this falls along gender lines really closely. In

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<v Speaker 3>your position at aws Why do you think the adoption

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<v Speaker 3>among women is so much less than men?

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<v Speaker 2>Right?

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<v Speaker 1>Well, yeah, so it's interesting. In technology in general, women

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<v Speaker 1>only make up about thirty percent of the workforce, but

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<v Speaker 1>it is more stark in AI, with I'm only comprising

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<v Speaker 1>about twenty two percent. We did do a study though,

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<v Speaker 1>that shows that women are interested in learning about generative AI.

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<v Speaker 5>In fact, in the.

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<v Speaker 1>Study, it showed three out of four women are interested

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<v Speaker 1>in learning how to apply generative AI at work, and

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<v Speaker 1>eighty percent actually want to apply for jobs involving generative AI.

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<v Speaker 1>So while I think we're seeing a gap right now

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<v Speaker 1>in the workforce, we're not seeing a gap in interest.

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<v Speaker 1>And I think the issue is confidence in skills, and

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<v Speaker 1>that's really why I'm here. What I'm focused on is

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<v Speaker 1>how do we at AWLS help the global workforce and

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<v Speaker 1>women across the globe get confidence working with AI and

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<v Speaker 1>generative AI technologies.

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<v Speaker 4>Well, you know, this is something I'm glad we're talking.

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<v Speaker 4>We actually had an earlier conversation about AI and the workforce.

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<v Speaker 4>And you know, when anybody says, you know, we're hiring

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<v Speaker 4>a lot of AI related jobs and it's AI related skills,

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<v Speaker 4>and like, what's an AI related skill? Because to be

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<v Speaker 4>quite honest with you, Jenny, you know, Tim and I

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<v Speaker 4>play around certainly with like chatchipt and things, and part

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<v Speaker 4>of it is like our job. How do you ask

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<v Speaker 4>the right questions right and drill down those questions. I mean,

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<v Speaker 4>I know that's just basic level, but I mean, what

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<v Speaker 4>what do you see as AI skills? Be it for

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<v Speaker 4>men or for women?

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<v Speaker 5>Yeah, so that is a very big question.

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<v Speaker 1>Sorry, when we talk about when we talk about AI skills,

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<v Speaker 1>there are kind of a breadth of them that we're

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<v Speaker 1>talking about.

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<v Speaker 5>To your point, we're.

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<v Speaker 1>Talking about people who are just using the technology, which

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<v Speaker 1>the foundational skills really are what we need. So things

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<v Speaker 1>like are to the possible? What is generative AI? And

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<v Speaker 1>what can you do with it? Because one of the

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<v Speaker 1>one of the biggest roadblocks to getting started is really

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<v Speaker 1>understanding how you can use it and thinking differently about

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<v Speaker 1>what you do. So I'm you know, understanding use cases,

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<v Speaker 1>places to get started, where to play with it. And

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<v Speaker 1>then the second is exactly what you just said, which

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<v Speaker 1>is what we call prompt engineering how to write good prompts,

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<v Speaker 1>And that's relevant for anyone looking to use the technology,

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<v Speaker 1>no matter their role technical non technical alike, if you

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<v Speaker 1>don't write a good prompt, you don't get a good

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<v Speaker 1>output from the from the technology, and so that is

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<v Speaker 1>a skill in and of itself. In fact, we offer

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<v Speaker 1>free training online on a to a skill builder. We

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<v Speaker 1>can go in and take a course on how to

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<v Speaker 1>do that.

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<v Speaker 3>Isn't that funny that?

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<v Speaker 4>Like, wait, can we take that course?

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<v Speaker 5>Yes? You can. It's for free. You can go online

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<v Speaker 5>and find it. Today.

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<v Speaker 3>Carol's like so excited about learning how to do prompts

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<v Speaker 3>so she can get away from her cohed.

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<v Speaker 4>We want to say, no, I don't want to get

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<v Speaker 4>away from you. But I mean everybody has said that

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<v Speaker 4>learning how to use it is like learning how to

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<v Speaker 4>prompt and ask correct.

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<v Speaker 3>Well, that's why the turn, that's why engineers, that's like

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<v Speaker 3>why it's such an important skill. I think one cool

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<v Speaker 3>thing about this, though, Jenny, is you don't even need

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<v Speaker 3>to be like anyone. Anyone can I've never taken a

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<v Speaker 3>course on prompt engineering. I'm not going to pretend that

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<v Speaker 3>I know what I'm doing. But it's such a forgiving

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<v Speaker 3>product where if you don't get the answer you're looking for,

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<v Speaker 3>then you change the way you ask the question or

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<v Speaker 3>you refine it, and you ultimately get there.

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<v Speaker 4>Now it's not like a co host who says that

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<v Speaker 4>was a stupid question.

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<v Speaker 3>Never yet, well, I bet I would do that by

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<v Speaker 3>the way, it probably would.

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<v Speaker 1>I would say yes, and yes, that is very true.

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<v Speaker 1>And in fact, a big part of using generative AI

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<v Speaker 1>is validating the What you got is what you were

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<v Speaker 1>looking for. The problem comes in if you weren't exactly

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<v Speaker 1>sure what the output should be. So, for example, if

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<v Speaker 1>you're using the tool beyond writing a document for you,

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<v Speaker 1>but maybe to do some data analysis and you ask comparison,

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<v Speaker 1>if you don't actually do the right prompt, the results

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<v Speaker 1>of the data analysis you get might not be correct,

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<v Speaker 1>and unless you a deep.

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<v Speaker 5>Validation, you might not know that. So that's where it

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<v Speaker 5>becomes important.

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<v Speaker 1>But part of learning the technology and getting good at

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<v Speaker 1>prompt engineering is to your point, practicing it, doing it

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<v Speaker 1>over and over seeing what kind of results you get,

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<v Speaker 1>and constantly refining.

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<v Speaker 4>I'm looking at your background. I didn't know you were

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<v Speaker 4>a pilot. That's really pretty cool stuff Like no, I

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<v Speaker 4>just you know, I think about how the world has

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<v Speaker 4>evolved and continues to evolve. How are you thinking about

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<v Speaker 4>and kind of all that you've done in your world,

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<v Speaker 4>and like, as we it just feels like we're just

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<v Speaker 4>scratching the service in terms of what generative AI and

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<v Speaker 4>LMS can do for our world. And I know that

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<v Speaker 4>there are a lot of concerns about it going off

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<v Speaker 4>in the wrong direction, and that's all.

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<v Speaker 1>You know.

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<v Speaker 4>We could spend hours on that, but I'm just curious

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<v Speaker 4>about from your vantage point, what you've done professionally, like

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<v Speaker 4>how you are looking at this moment in time.

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<v Speaker 1>So we are actually in the same place everyone else is,

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<v Speaker 1>which is trying to figure out how we do our

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<v Speaker 1>own jobs differently and then using that to then help

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<v Speaker 1>educate people on how to think differently for other roles.

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<v Speaker 1>I would agree we're at the very early stages. And

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<v Speaker 1>that's why the lack of skills in the industry around

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<v Speaker 1>AI are so prevalent, because, like I mentioned, it's not

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<v Speaker 1>only the foundational skills the other areas. We need deep

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<v Speaker 1>technical experts who can build good models, who can build

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<v Speaker 1>good tooling on top of the models, and all of

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<v Speaker 1>that is a work in progress right now. The tooling

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<v Speaker 1>is getting better day by day, but as the tooling

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<v Speaker 1>gets better, we need to get better and better at

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<v Speaker 1>how we use it. So I would say we're still

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<v Speaker 1>at the very beginning of figuring out how much this

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<v Speaker 1>is going to change the way we work. And I

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<v Speaker 1>take it back to thinking about the Internet. I am

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<v Speaker 1>old enough to remember when the Internet became big and

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<v Speaker 1>we had no idea how much it was going to

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<v Speaker 1>change the way our day to day lives and worked,

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<v Speaker 1>and how we looked for things, how we found things,

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<v Speaker 1>how we thought about getting from place to place. We're

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<v Speaker 1>in that same same place. It's AI and generative AI

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<v Speaker 1>is the one thing I can guarantee you is the

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<v Speaker 1>way we do things ten years from now will be

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<v Speaker 1>very different from the way we.

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<v Speaker 5>Do them now.

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<v Speaker 1>Yeah, but it's hard to predict exactly how quickly things

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<v Speaker 1>will change or how much they will change.

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<v Speaker 4>I'm with you. I remember doing a premer on what

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<v Speaker 4>is the Internet like early on in my career.

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<v Speaker 3>What did you find out?

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<v Speaker 2>The answer?

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<v Speaker 4>But it wasn't around.

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<v Speaker 5>It wasn't around.

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<v Speaker 4>No, I want to go back to you being a

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<v Speaker 4>commercial or having a commercial pilot license, Like when you say,

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<v Speaker 4>in ten years from now that you know generative AI

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<v Speaker 4>and what we were talking about today is going to

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<v Speaker 4>dramatically change our world, Like do you see AI ultimately

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<v Speaker 4>handling you know, systems like air traffic control? Like how

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<v Speaker 4>far does it go? Or I know it's hard, it's

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<v Speaker 4>like who knows where it goes? But I mean, how

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<v Speaker 4>do you think about it? Like on what scale?

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<v Speaker 2>Yeah?

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<v Speaker 1>The way we think about it is anything that can

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<v Speaker 1>be automated will be. So anything that you can write

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<v Speaker 1>down a word for, if it's not already automated, it

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<v Speaker 1>will be. And the beauty of that is the things

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<v Speaker 1>that we can't automate, like our creative thinking, like taking

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<v Speaker 1>that and making connections with other things innovating. That's the

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<v Speaker 1>sort of thing that doesn't automate. And so where I

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<v Speaker 1>think it will go is we will all have AI

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<v Speaker 1>assistance that will be doing kind of that automated repetitive

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<v Speaker 1>work for us. We will be guiding those agents or

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<v Speaker 1>those assistants, and we will we will be innovating so

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<v Speaker 1>much faster than we can even imagine because we've never

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<v Speaker 1>had a machine in the back end doing all of

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<v Speaker 1>the grunt work for us.

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<v Speaker 5>That's a down stall.

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<v Speaker 3>I think Jennie Diamond, I'm quoting him again, but I

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<v Speaker 3>believe he said our kids are going to live to

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<v Speaker 3>one hundred not have cancer as a result of these

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<v Speaker 3>tools and be working three and a half days a week.

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<v Speaker 2>Is that true?

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<v Speaker 5>Your guess is as good as mine.

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<v Speaker 3>It sounds like a pretty great world.

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<v Speaker 1>Well, I look back before cloud and before the Internet,

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<v Speaker 1>and we didn't work less than Yeah, so it's hard

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<v Speaker 1>for me to imagine.

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<v Speaker 3>I think some people would say we work more because

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<v Speaker 3>we always have these computer things attached to our hands

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<v Speaker 3>always on.

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<v Speaker 1>Might say that, and it's hard for me to imagine,

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<v Speaker 1>just because of human nature, that we will do less

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<v Speaker 1>than we did.

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<v Speaker 5>In the past.

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<v Speaker 1>But but I do think that we will be able

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<v Speaker 1>to do a whole lot more, a whole lot faster.

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<v Speaker 1>And that's that's the part that's hard to imagine. I

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<v Speaker 1>have a I have a daughter who's in high school

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<v Speaker 1>and has wanted to be a doctor her whole life.

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<v Speaker 1>And that's an area where you know, it's already using robotics,

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<v Speaker 1>and you can imagine a lot will change it. So

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<v Speaker 1>I question, you know, what is the what is the

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<v Speaker 1>place to be there? But there are always going to

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<v Speaker 1>be people needing to guide the machines.

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<v Speaker 3>I think, and yeah, exactly, And I think, I mean,

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<v Speaker 3>I think radiology is one profession. That's certainly right for

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<v Speaker 3>disruption when it comes to AI, but maybe dermatology not

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<v Speaker 3>so much.

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<v Speaker 1>Fair Yeah, I think where you have to have kind

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<v Speaker 1>of the human intervention, there will always be some level

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<v Speaker 1>of human intervention needed. And the question is how much

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<v Speaker 1>better can we be? How much less time do we

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<v Speaker 1>need to spend in a doctor's office because they're able

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<v Speaker 1>to solve problems automatically for us? And then how much

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<v Speaker 1>will they be able to accelerate the time, you know,

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<v Speaker 1>spend more time on innovating the solutions for us?

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<v Speaker 5>Yeah, I know.

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<v Speaker 4>And people talk about drug discovery right, being able to

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<v Speaker 4>kind of go through a lot of information and figure

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<v Speaker 4>out things.

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<v Speaker 3>What hey, Jenny, before we let you go, since you

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<v Speaker 3>are in aviation, Also, do you think we'll in our

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<v Speaker 3>lifetimes we'll see commercial aircraft with just one pilot rather

0:10:48.240 --> 0:10:48.600
<v Speaker 3>than two.

0:10:50.559 --> 0:10:53.360
<v Speaker 1>You know, I can't predict the future, but I don't know.

0:10:53.320 --> 0:10:56.600
<v Speaker 3>Why not, whereas like maybe on the ground they're doing

0:10:56.600 --> 0:10:58.920
<v Speaker 3>some of the controlling or even.

0:11:00.000 --> 0:11:04.200
<v Speaker 1>Already have so much unmanned in the military, unmanned spacecraft

0:11:04.920 --> 0:11:08.720
<v Speaker 1>or sorry, aircraft spacecraft too, But I don't know why

0:11:08.840 --> 0:11:12.880
<v Speaker 1>we would continue to need as much on the plane

0:11:13.280 --> 0:11:16.680
<v Speaker 1>with the exception of the backup factor. Something happens to

0:11:16.720 --> 0:11:18.800
<v Speaker 1>one pilot, you definitely don't want to have nobody.

0:11:20.320 --> 0:11:22.200
<v Speaker 3>Yeah, yeah, that's true. Or they can control it on

0:11:22.200 --> 0:11:22.920
<v Speaker 3>the ground, who knows.

0:11:23.520 --> 0:11:26.160
<v Speaker 4>I guess I don't know, like a remote yeah, like

0:11:26.200 --> 0:11:29.240
<v Speaker 4>a like a drone or something, right, exactly, exactly.

0:11:29.960 --> 0:11:32.120
<v Speaker 1>Listen, this was what I saw my car drive for me,

0:11:32.200 --> 0:11:33.360
<v Speaker 1>as though, to be fair, I'm.

0:11:33.200 --> 0:11:33.760
<v Speaker 5>Not ready for that.

0:11:34.040 --> 0:11:34.640
<v Speaker 2>I'm ready.

0:11:34.960 --> 0:11:36.400
<v Speaker 3>Oh my gosh, you got to get in one of

0:11:36.440 --> 0:11:37.160
<v Speaker 3>these waymouth things.

0:11:37.200 --> 0:11:39.400
<v Speaker 2>They're amazing. It was awesome.

0:11:39.559 --> 0:11:39.839
<v Speaker 1>Jenny.

0:11:39.880 --> 0:11:40.120
<v Speaker 5>Thanks.

0:11:40.160 --> 0:11:43.680
<v Speaker 4>Jenny Troutman, director of Training and Certification at AWS, Amazon

0:11:43.800 --> 0:11:46.720
<v Speaker 4>Web Services, joining us on this Monday from Houston, Texas.

0:11:46.920 --> 0:11:47.079
<v Speaker 2>Well.

0:11:47.080 --> 0:11:50.080
<v Speaker 3>The Trump family is set to launch a bitcoin mining

0:11:50.160 --> 0:11:53.480
<v Speaker 3>focused venture with HUT eight. It's the latest expansion of

0:11:53.520 --> 0:11:56.480
<v Speaker 3>the US President's ties to the cryptocurrency sector. HUT eight

0:11:56.920 --> 0:12:00.320
<v Speaker 3>is launching the American Bitcoin Corp. As a major already

0:12:00.320 --> 0:12:04.120
<v Speaker 3>owned a subsidiary focus exclusively on bitcoin mining and quote

0:12:04.160 --> 0:12:07.360
<v Speaker 3>strategic bitcoin reserve development this company. The company said this

0:12:07.440 --> 0:12:09.680
<v Speaker 3>in a statement today. For more, let's go to Fred

0:12:09.679 --> 0:12:12.240
<v Speaker 3>Tealey's chairman and CEO of the four billion dollar market

0:12:12.280 --> 0:12:18.360
<v Speaker 3>cap bitcoin minor Mara holdings. He joins us from Miami today. Fred,

0:12:18.400 --> 0:12:20.640
<v Speaker 3>good to have you back with us. I want to

0:12:20.640 --> 0:12:23.880
<v Speaker 3>talk the market, bitcoin mining, the health of the industry

0:12:23.880 --> 0:12:25.679
<v Speaker 3>as you see at big changes. But first I want

0:12:25.679 --> 0:12:28.400
<v Speaker 3>to get your reaction to this news that the Trump

0:12:28.440 --> 0:12:31.880
<v Speaker 3>family is teaming up with hot eight. What do you

0:12:31.880 --> 0:12:32.319
<v Speaker 3>make of it?

0:12:34.040 --> 0:12:37.679
<v Speaker 2>Oh, I think obviously the president and his family are

0:12:37.800 --> 0:12:41.319
<v Speaker 2>very positively inclined to bitcoin. So bitcoin mining is a

0:12:41.400 --> 0:12:44.880
<v Speaker 2>key part of anybody's crypto strategy if you're looking at

0:12:44.880 --> 0:12:48.839
<v Speaker 2>the industry overall. So I think that the fact that

0:12:48.880 --> 0:12:53.600
<v Speaker 2>they're interested is a good sign. Obviously, I think there

0:12:53.640 --> 0:12:55.640
<v Speaker 2>could have been a better choice for partner for them,

0:12:55.640 --> 0:12:57.439
<v Speaker 2>but that's just me being biased.

0:12:58.440 --> 0:13:00.959
<v Speaker 3>I understand. But do you think that there's a concern

0:13:01.559 --> 0:13:04.560
<v Speaker 3>that he's a little too close in the sense of, well,

0:13:05.120 --> 0:13:11.320
<v Speaker 3>if his firm is partnering up and picking partners, then

0:13:11.559 --> 0:13:13.000
<v Speaker 3>he can pick winners and losers.

0:13:15.080 --> 0:13:19.080
<v Speaker 2>I'm listening. I'm a big believer in free competition and

0:13:19.240 --> 0:13:24.319
<v Speaker 2>open competition in the marketplaces, and you know, my expectation

0:13:24.600 --> 0:13:28.800
<v Speaker 2>is that you know, there won't be any preferences played

0:13:28.840 --> 0:13:31.120
<v Speaker 2>in this marketplace. You know, the great thing about bitcoin

0:13:31.200 --> 0:13:36.400
<v Speaker 2>mining is it's really a business where we all compete

0:13:36.400 --> 0:13:40.520
<v Speaker 2>with our compute and our hash rate, and I think that,

0:13:41.200 --> 0:13:45.000
<v Speaker 2>you know, we'll just have to see if this company

0:13:45.040 --> 0:13:47.880
<v Speaker 2>has given preferential treatment. Then I think I'm sure the

0:13:47.960 --> 0:13:51.840
<v Speaker 2>media industry will cover that and in its a typical

0:13:51.880 --> 0:13:54.240
<v Speaker 2>way and bring that to light, and that point it'll

0:13:54.280 --> 0:13:55.720
<v Speaker 2>be up to the public to kind of deal with it.

0:13:55.760 --> 0:14:00.400
<v Speaker 3>And do you think the president should be in this business?

0:14:01.640 --> 0:14:04.560
<v Speaker 2>Yeah, I'm not going to pine on that. I think

0:14:04.600 --> 0:14:13.040
<v Speaker 2>the what you know, members of government do and don't do.

0:14:13.200 --> 0:14:16.080
<v Speaker 2>I think it is up for the government to police

0:14:17.120 --> 0:14:20.760
<v Speaker 2>and make determinations on that. You know, there's so many

0:14:20.840 --> 0:14:24.800
<v Speaker 2>people who have been in very high offices that have

0:14:24.960 --> 0:14:31.200
<v Speaker 2>had financial dealings big businesses, and even though the rules

0:14:31.240 --> 0:14:34.239
<v Speaker 2>call for you to kind of step away from those businesses,

0:14:34.360 --> 0:14:37.000
<v Speaker 2>are they really stepping away? I mean, I think you

0:14:37.040 --> 0:14:40.240
<v Speaker 2>can go back over history and see that this wouldn't

0:14:40.280 --> 0:14:43.120
<v Speaker 2>be the first time that, you know, members of high

0:14:43.160 --> 0:14:47.080
<v Speaker 2>office have fingers in businesses and influenced businesses.

0:14:47.160 --> 0:14:48.960
<v Speaker 3>So let's go bigger picture here and just talk a

0:14:49.000 --> 0:14:53.240
<v Speaker 3>little bit about how you view the administration with regard

0:14:53.360 --> 0:14:54.120
<v Speaker 3>to crypto.

0:14:55.240 --> 0:14:55.760
<v Speaker 2>If we were to.

0:14:55.760 --> 0:15:00.320
<v Speaker 3>Speak a few months ago, maybe we'd see the eyes

0:15:00.320 --> 0:15:03.800
<v Speaker 3>in the price of bitcoin and talk about the optimism

0:15:04.240 --> 0:15:08.760
<v Speaker 3>that the industry had for a Trump administration. Are you

0:15:08.760 --> 0:15:10.720
<v Speaker 3>seeing that promise fulfilled at this point?

0:15:12.080 --> 0:15:14.440
<v Speaker 2>Absolutely? You know, I spend a lot of time in

0:15:14.600 --> 0:15:18.480
<v Speaker 2>Washington these days. I was at the White House Crypto

0:15:18.600 --> 0:15:22.680
<v Speaker 2>Summit as the only bitcoin minor representing the industry. I

0:15:22.720 --> 0:15:28.480
<v Speaker 2>think as we look at the things President Trump laid

0:15:28.480 --> 0:15:32.440
<v Speaker 2>out in his kind of campaign promises at the Bitcoin

0:15:32.680 --> 0:15:39.000
<v Speaker 2>Nashville conference, you know, obviously changes at the sec Bitcoin

0:15:39.080 --> 0:15:42.800
<v Speaker 2>Strategic Reserve. You know, more bitcoin mining should be done

0:15:42.800 --> 0:15:45.840
<v Speaker 2>in the US. You know, a lot of those things

0:15:45.880 --> 0:15:48.080
<v Speaker 2>have come to pass. I think we're going to see

0:15:48.080 --> 0:15:51.840
<v Speaker 2>market Structure Bill be introduced here shortly. We're going to

0:15:51.880 --> 0:15:56.920
<v Speaker 2>start seeing further process progress on the Strategic Bitcoin Reserve.

0:15:58.000 --> 0:16:02.520
<v Speaker 2>We'll see a variety of other things around stable coin

0:16:02.720 --> 0:16:04.600
<v Speaker 2>legislation as well. So I think you're going to see

0:16:04.600 --> 0:16:09.120
<v Speaker 2>a lot of progress to make up for the years

0:16:09.160 --> 0:16:12.640
<v Speaker 2>during the Biden administration when nothing happened in the industry

0:16:12.760 --> 0:16:15.760
<v Speaker 2>was attacked. So you've got to think about it. We're

0:16:15.800 --> 0:16:18.480
<v Speaker 2>not even one hundred days into his administration at this point, right,

0:16:18.560 --> 0:16:21.120
<v Speaker 2>So no, that's fair. A lot has already happened.

0:16:21.240 --> 0:16:24.120
<v Speaker 4>Hey, Fred broad Now just remind our world. I mean,

0:16:24.120 --> 0:16:26.360
<v Speaker 4>you're publicly held, you're almost a four billion dollar market

0:16:26.440 --> 0:16:29.800
<v Speaker 4>cap company. Remind our world exactly what your business is.

0:16:31.400 --> 0:16:35.400
<v Speaker 2>So we're in the business of transforming energy into digital gold.

0:16:35.480 --> 0:16:39.280
<v Speaker 2>We consider ourselves really a digital energy company. So we

0:16:39.320 --> 0:16:43.680
<v Speaker 2>take energy which otherwise isn't necessarily being used. So if

0:16:43.680 --> 0:16:46.000
<v Speaker 2>you think about a lot of renewable energy assets like

0:16:46.080 --> 0:16:50.520
<v Speaker 2>wind farms, a lot of the time that energy can't

0:16:50.560 --> 0:16:53.360
<v Speaker 2>be sold into the marketplace because either there is too

0:16:53.440 --> 0:16:56.800
<v Speaker 2>much supply and so the market is flooded, or there's

0:16:56.840 --> 0:17:01.360
<v Speaker 2>not enough transmission capacity and it's called congestion. And you know,

0:17:01.440 --> 0:17:05.600
<v Speaker 2>the renewable energy boom that happened in this country over

0:17:05.640 --> 0:17:10.640
<v Speaker 2>the past decade has created an oversupply in certain geographies.

0:17:10.800 --> 0:17:13.600
<v Speaker 2>And what happens is that supply can't get to market

0:17:13.760 --> 0:17:16.280
<v Speaker 2>and so it sits idle. So we can go in

0:17:16.920 --> 0:17:19.960
<v Speaker 2>and take that excess energy and move demand to where

0:17:20.000 --> 0:17:25.960
<v Speaker 2>supply is. Energy consumption is not a constant flat amount

0:17:26.040 --> 0:17:28.600
<v Speaker 2>all day long, so the energy companies can just plan

0:17:28.720 --> 0:17:31.359
<v Speaker 2>to have a flat amount of energy. It varies all

0:17:31.400 --> 0:17:33.399
<v Speaker 2>day long. From the morning it goes up and then

0:17:33.480 --> 0:17:36.160
<v Speaker 2>it goes bottoms out midday, and then it peaks around

0:17:36.240 --> 0:17:38.760
<v Speaker 2>nine o'clock at night and then drops again. And while

0:17:38.800 --> 0:17:43.000
<v Speaker 2>you can plan for those flows, what you can't plan

0:17:43.119 --> 0:17:46.879
<v Speaker 2>for is the weather because that affects solar farms, it

0:17:46.920 --> 0:17:50.400
<v Speaker 2>affects wind farms, and that intermittent type of energy generation

0:17:51.480 --> 0:17:54.640
<v Speaker 2>is very challenging to plan for. And so the only

0:17:54.840 --> 0:17:59.040
<v Speaker 2>energy that really is consistent and constant is nuclear, coal,

0:17:59.280 --> 0:18:03.960
<v Speaker 2>natural gas. But all of the renewable energy forms really

0:18:04.000 --> 0:18:07.920
<v Speaker 2>are what's called intermittent, and so our industry supplies what's

0:18:07.960 --> 0:18:12.359
<v Speaker 2>called flexible load. And Duke University just put out a

0:18:12.400 --> 0:18:15.080
<v Speaker 2>study a few weeks ago where basically, the whole AI

0:18:15.240 --> 0:18:18.040
<v Speaker 2>industry in this country needs about forty eight gigawatts of

0:18:18.080 --> 0:18:21.399
<v Speaker 2>power over the next few years, and yet our grid

0:18:21.480 --> 0:18:26.719
<v Speaker 2>has seventy three gigawatts, nearly double what the AI industry needs.

0:18:26.920 --> 0:18:30.359
<v Speaker 2>But it's only available if the load is flexible. And

0:18:30.520 --> 0:18:33.560
<v Speaker 2>we're flexible because we can shut our operations down at

0:18:33.600 --> 0:18:37.239
<v Speaker 2>a moment's notice when the grid needs the energy. The

0:18:37.280 --> 0:18:40.160
<v Speaker 2>AI industry has a harder time doing that. So we're

0:18:40.160 --> 0:18:42.399
<v Speaker 2>a kind of a unique animal in that, but we

0:18:42.440 --> 0:18:44.840
<v Speaker 2>play a very vital role in balancing the grid.

0:18:45.080 --> 0:18:47.600
<v Speaker 4>So do you have a good do you feel like

0:18:47.760 --> 0:18:49.679
<v Speaker 4>tell us about your vantage point when it comes to

0:18:51.040 --> 0:18:53.520
<v Speaker 4>data centers and AI demand, because I do think there

0:18:53.560 --> 0:18:55.199
<v Speaker 4>has been a bit of a reset this year. So

0:18:55.280 --> 0:18:57.639
<v Speaker 4>what are you seeing? What can you tell us with

0:18:57.800 --> 0:19:02.480
<v Speaker 4>clarity about that demand? And certainly it's you know, draw

0:19:02.520 --> 0:19:06.040
<v Speaker 4>down on energy.

0:19:06.280 --> 0:19:10.480
<v Speaker 2>So we've spoken number of times in our earnings calls

0:19:10.520 --> 0:19:14.680
<v Speaker 2>and interviews about the fact that we believe that this

0:19:14.800 --> 0:19:19.119
<v Speaker 2>first phase of the AI data center build out is

0:19:19.359 --> 0:19:22.000
<v Speaker 2>very similar to the pattern that occurred at the buildout

0:19:22.000 --> 0:19:24.560
<v Speaker 2>of the original Internet. Go back to ninety the period

0:19:24.600 --> 0:19:27.520
<v Speaker 2>nineteen ninety five to two thousand and two. What happened

0:19:27.560 --> 0:19:30.680
<v Speaker 2>we were building data centers. It was like every company

0:19:30.680 --> 0:19:32.399
<v Speaker 2>has to be an Internet company and you have to

0:19:32.480 --> 0:19:36.520
<v Speaker 2>have a dot com after your name, and a lot

0:19:36.520 --> 0:19:39.760
<v Speaker 2>of capital flowed into these businesses, and what ended up

0:19:39.800 --> 0:19:43.960
<v Speaker 2>happening was that the cost initially to build websites was

0:19:44.080 --> 0:19:46.760
<v Speaker 2>millions of dollars. You had to have unique machines by

0:19:46.800 --> 0:19:49.560
<v Speaker 2>Sun Microsystems, You had to write all the code yourself,

0:19:50.000 --> 0:19:52.840
<v Speaker 2>and then very quickly tools came out, Things came out

0:19:52.880 --> 0:19:56.679
<v Speaker 2>that lowered the cost dramatically and lowered the amount of

0:19:56.720 --> 0:19:59.720
<v Speaker 2>infrastructure you had to have to do this, and so

0:20:00.280 --> 0:20:03.560
<v Speaker 2>all this infrastructure that got built was superfluous for a while.

0:20:03.640 --> 0:20:07.280
<v Speaker 2>It took years for that supply to get consumed. And

0:20:07.520 --> 0:20:10.240
<v Speaker 2>maybe I'm just an old guy in that I lived

0:20:10.240 --> 0:20:13.160
<v Speaker 2>through that industry. I was in the data communications industry

0:20:13.160 --> 0:20:17.000
<v Speaker 2>at the time, and I lived through that boom bus cycle.

0:20:17.280 --> 0:20:20.280
<v Speaker 2>And so as we looked at it, we said, we're

0:20:20.280 --> 0:20:23.960
<v Speaker 2>only in the first generation of this technology, really, and

0:20:24.119 --> 0:20:26.280
<v Speaker 2>people are going to be very focused on how do

0:20:26.320 --> 0:20:28.040
<v Speaker 2>I do this cheaper? How do I do this so

0:20:28.080 --> 0:20:31.160
<v Speaker 2>it uses less energy? Because in the bitcoin mining business,

0:20:31.240 --> 0:20:33.280
<v Speaker 2>that's what you focus on all day long is how

0:20:33.280 --> 0:20:35.280
<v Speaker 2>do I do this to consume less energy? How do

0:20:35.320 --> 0:20:39.560
<v Speaker 2>I do this more efficiently and low? And behold, you

0:20:39.680 --> 0:20:42.359
<v Speaker 2>had deep Seak came out, you had all of a sudden,

0:20:42.520 --> 0:20:45.200
<v Speaker 2>all these things came out that essentially showed you could

0:20:45.200 --> 0:20:50.360
<v Speaker 2>do more with less, which while that does drive faster adoption,

0:20:50.640 --> 0:20:54.359
<v Speaker 2>it drives lower cost drives faster adoption. With what happened

0:20:54.400 --> 0:20:57.399
<v Speaker 2>with cell phones, when you stop being charged for minutes,

0:20:57.440 --> 0:21:02.560
<v Speaker 2>you just use it, right, So what happens now is

0:21:03.119 --> 0:21:06.280
<v Speaker 2>instead people like I think Microsoft has been mentioned a

0:21:06.280 --> 0:21:11.080
<v Speaker 2>few times by analysts and an analyst reports that they're

0:21:11.280 --> 0:21:15.720
<v Speaker 2>slowing down on their execution of some of their private

0:21:16.000 --> 0:21:19.800
<v Speaker 2>data center contracts because what they're seeing is, you know, okay,

0:21:20.400 --> 0:21:24.160
<v Speaker 2>there's a certain amount of demand based on current technology.

0:21:24.520 --> 0:21:28.480
<v Speaker 2>People are starting to use this next generation reasoning technology,

0:21:28.520 --> 0:21:33.440
<v Speaker 2>which is much more energy efficient, and as that transition happens,

0:21:33.480 --> 0:21:36.600
<v Speaker 2>the design of what you need in the data center

0:21:36.680 --> 0:21:41.160
<v Speaker 2>is slightly different reasoning models. I think the easy way

0:21:41.200 --> 0:21:43.720
<v Speaker 2>to think of it is open AI. Everything is in

0:21:43.800 --> 0:21:46.359
<v Speaker 2>memory at all times. When you look at deep Seek,

0:21:46.520 --> 0:21:48.840
<v Speaker 2>only what you're working on is in memory, so it

0:21:48.920 --> 0:21:52.840
<v Speaker 2>lets you have much smaller footprint, which means less compute,

0:21:53.240 --> 0:21:53.960
<v Speaker 2>less memory, etc.

0:21:54.320 --> 0:21:56.159
<v Speaker 4>Yeah, this is something thing we've talked about too with

0:21:56.200 --> 0:21:58.160
<v Speaker 4>our tech guys, but we're going to need to continue

0:21:58.160 --> 0:22:02.080
<v Speaker 4>this conversation because it's certainly one that dominates our world

0:22:02.240 --> 0:22:04.840
<v Speaker 4>and your world as well, and look forward to next time.

0:22:04.880 --> 0:22:07.320
<v Speaker 4>Fred til He's chairman and chief executive officer of Mayor,

0:22:07.440 --> 0:22:09.240
<v Speaker 4>joining us from Miami, Florida.