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Michael Saylor & Phong Le: The Transformative Power of AI + BTC | Strategy World 2025 Keynote

Bitcoin Magazine · 2025-05-06 · 1h 18m · View on YouTube →

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Please welcome to the stage, President

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and Chief Executive Officer, Fong Lee.

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[Music]

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[Applause]

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Good morning, everyone.

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I am fired

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up. I got up at 4:00 a.m. this morning,

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which is an hour earlier than I usually

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do. It's It was like the day before

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Christmas, and you just can't sleep.

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You're so worked up and excited and

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ready to roll. That's how I felt this

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morning. I went to the gym and I worked

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out. There's one other person in there.

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I was like,

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"Yes, this is a big day. This is a big

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day for us. This is a big day for our

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customers. Thank you for being here for

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our partners, for our potential

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customers, for our

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employees, for our

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shareholders, for our

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analysts, for Bitcoin enthusiast, for

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data enthusiasts, for be this is big.

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This is big. We revealed this year the

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rebranding of Micro Strategy into

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Strategy. And I think the

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timing was perfect. I, by the way, I I I

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went by the swag store yesterday.

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Someone told me they somebody spent 700

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bucks at our swag store. I am. I got the

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shoes, which you can't get anymore. I

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got the tie, which you can still get. I

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got some socks on. I got the pin. I have

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it all. I am all strategied up.

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This company was founded 36 years ago as

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Micro Strategy. It went public 27 years

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ago. This is our fifth annual Bitcoin

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corporations. The first two are virtual

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if you remember. The next two and this

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one are in person. And this is our first

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ever strategy world. and it

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represents a new day, a new brand and a

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new era and a simplification of who we

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are. And so I want to talk today first

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and celebrate a little bit about our

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growth.

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Uh we have done some amazing things over

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the last 36 years, over the last five

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years, and over the last year. And those

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who are shareholders know this

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chart. Some of you may not know how much

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success we've seen in five years. We

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have outperformed every S&P 500 company

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in the world.

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If you compare us and our returns since

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what we call the Bitcoin standard era,

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which is August 10th, 2020, and it

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hasn't really been that close. Like

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these are video game numbers.

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3,90% appreciation in our stock. And you

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know, it's great. I love it. Personally

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satisfying, professionally satisfying.

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But the number of people who came up to

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me yesterday and said, "Hey, you have

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released me financially. You've helped

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me pay for my kids' college. You've

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helped me retire. It's just wonderful.

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It just feels so good." And by the way,

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the performance is even more

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extraordinary when you compare us with

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the rest of the world. Anyone here heard

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of a company called

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Nvidia? They're awesome. They're in the

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middle of the AI transformation, which

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we'll talk about. We outperformed him by

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more than 3x in the last five years.

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Three

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times. And we're the most interesting

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company. This is the part that people

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don't always think about with us. We

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have transformed the capital markets.

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We've transformed digital markets,

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right? We are with our trading volume as

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a percentage of market cap, the second

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most in all the S&P 500.

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And if you look at our options interest,

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the open interest and put and call

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options, by far the most as a percentage

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of market cap compared to the S&P

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500. This is where it gets really

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interesting. Let's compare us to the

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technology universe. We're a technology

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company, right? Strategy versus every

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other technology company on an ARR basis

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over the last five years has

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outperformed a lot of our peers and a

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lot of our competitors.

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And I know you're all sitting here. A

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large part of this audience are our

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software customers, our BI customers.

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That performance is great and I'm so

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happy I bought some strategy shares in

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the last 5 years. But what does it do

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for our software business? That's what

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I'm going to try to bridge today and

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share you why this performance, this

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extraordinary performance is important.

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Right? A lot of these folks here on this

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chart are our partners. Amazon, Google,

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Microsoft are hyperscalers, right? The

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next one, Apple is a big partner of ours

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and we started partnering with Apple

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when they released iOS and the iPhone

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and the iPad. We were the first ever

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enterprise application released on the

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iPad. But for those four companies, we

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have the largest balance

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sheet in the technology world. We have

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$50 billion dollar of extremely

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liquid accreative appreciating Bitcoin

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on our balance sheet. And what does that

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do for us as a software company? It's a

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war chest. Allows us to invest, allows

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us to grow more so than some of our

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competitors in this space. Salesforce,

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SAP, IBM, and others.

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$50 billion. Remember five years ago we

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started this journey with $500 million.

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We've increased our balance sheet a

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thousand

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times. Think of anything you've done

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more. A thousand times in five years,

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thousand times in 10 years. And what

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this really

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represents and what we're talking about

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today is the digital

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transformation of our company.

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We digitally transformed our balance

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sheet. We digitally transformed our

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capital markets. We digitally

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transformed the capital

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markets. We digitally transformed

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investor

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relations, right? Like a lot of you here

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are investors. Last week on Thursday, we

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had our Q1 earnings call. We had 150,000

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people show up to our earnings call.

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Mike's mentioned this before. I remember

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2015 we had 40 people show up to our

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earnings call and 10 of those were

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employees. We've increased the interest

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in the company

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5,000x even more than we've increased

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the balance sheet and even more than

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we've increased our share price. We have

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digitally transformed how companies

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interact with shareholders, with

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yourselves. Thank you to the True North

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folks for putting on a great event

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yesterday. You represent the digital

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transformation of investor

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relations. Gone are the days where you

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get information trickled out to you once

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a month.

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Here are the days when you get data

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delivered to you about our company and

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our KPI and our metrics every 15

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seconds. That's how companies should be

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interacting with your shareholders.

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That's why we created this website.

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That's why we created our digital

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applications and our mobile application.

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And by the way, we wouldn't have been

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able to build these beautiful interfaces

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if it wasn't for our team of amazing

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software

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engineers that build our software, that

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build our BI tools and applications.

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Not only do we believe in digitally

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transforming the capital markets and

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investor relations, we believe that with

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Bitcoin, we can digitally transform how

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we interact with

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corporations and with

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competitors, right? Like if if I was to

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tell you, hey, I found an unlock to

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increase your stock price a thousand

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3,000 times in five years and I told

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you, by the way, I'm going to tell

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everybody how we did it. create an

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open-source playbook and set of

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documents and hold a three-day

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conference every year to try to get

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everyone else to do the same thing. You

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might say, "Hey, you want to just keep

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that all to yourself so you can keep

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doing this thing and you be the only

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one?"

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No. Because we believe in transparency

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of information. We believe in digitally

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transforming data and information and

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providing it transparently to everybody.

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That was the core of how Micro Strategy

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was founded. That's the core of strategy

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as a company and that's why we run

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Bitcoin for corporations because we

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think the more the marrier. Let's share.

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Let's have some fun. Speaking of

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fun, this is Otto and this is Maxi.

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People have asked me directly. There's a

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whole bunch of stuff on X. What the heck

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is Maxi? Maxi is not a

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skunk. Maxi is not a raccoon. Max, I see

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where you're going with that. Maxi is

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not a bear representing the bear market.

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Those who know Bitcoin, Maxi is a honey

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badger. Maxi is a honey badger. And if

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you don't know what a honey badger is, I

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will excuse that. A honey badger is the

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most fierce competitive fighting force

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in the animal kingdom. And if you're

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like, sure, whatever. Isn't that a lion?

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Go YouTube a

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video, honey badger versus lion. Some of

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you have seen it and you will understand

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why the honey badger is the symbol of

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Bitcoin and the symbol of strategy. It's

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all about having fun. So, those those

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who who who uh are going to stay with us

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hopefully tonight, we're going to have

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an awesome party. Uh and you know, it's

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fun to win. It's even more fun to

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celebrate winning. So, let's do some of

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that together tonight. I'm looking

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forward to the party

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tonight. All right.

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So what does this mean for strategy the

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company? For many of you, you're getting

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to interact with our 250 or 300

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employees here. We have 1500 employees

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around the world. We've got 4,000

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customers around the world. Uh we have

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millions of users of strategy around the

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world. Number one, it helps us hire and

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retain great people. You think after

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hearing that speech from me, people

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don't want to come work for the best

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company in the world? I hope you all get

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a chance to meet some of our employees.

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We have some that have been here 25

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years. We have some who've been with us

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10 years, 15, 10, whatever the number

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is. They're

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awesome. I can go out there and hire

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anybody I want in the universe to come

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work for the best performing company in

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the universe. And not only that, when we

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get them, they stay. Last year, we

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tracked this metric called uh voluntary

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turnover. Our voluntary turnover in the

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company was the lowest it's ever been in

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my 10 year history being

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here. It also allows us to focus on bold

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innovation. And that's what we're going

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to talk about a lot today this morning

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is how are we innovating as a company,

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right? No longer do I have to focus on

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what happens tomorrow, the next week,

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the next month, our quarterly earnings,

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although they're still quite important,

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even the next year. We get to make the

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bets that are going to make this company

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better, that are going to make life

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better for our shareholders, that are

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going to make life better for the world

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civilization because we've decided to

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move our balance sheet to

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Bitcoin. We'll also attract some of the

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greatest partners in the world. All

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right. Uh you probably saw the list of

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the folks who are sponsors and partners

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of strategy at Strategy World. It's

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bigger than it's ever been before.

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Everybody wants to be part of a winning

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team, right? I want to thank AWS Kent

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Fitzgerald who's sponsoring our party

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tonight and Jaywood Capital Advisors for

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being our titanium sponsors of World.

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Thank you to those

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guys. We'll talk more about partnerships

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later. We can withstand threats in a

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world that is increasingly changing

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faster and faster through technology,

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through be geopolitical challenges,

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through economic challenges. We

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withstand the threats. When you have $50

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billion in your treasury versus $500

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million in your

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treasury, when the macroeconomic winds

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change, right? when there's instability

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and a customer says, "Hey, you know, we

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had a tough quarter. Are you okay with

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doing this deal next quarter?" Right?

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When a employee says, "Hey, you know,

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uh, I have changes that I have to go

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through in my life. Can you help?"

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Right? When generally speaking, there

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are multiple threats to the

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organization, we can withstand them

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because we can plan long term and we can

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invest in customer success, right? We

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have about 60 folks here today that are

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part of a brand new organization that we

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stood up at the end of 2023 called

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customer success. When our competitors

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and other companies are removing their

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organizations responsible for customer

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success when they're charging you for

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customer success, we're investing in a

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team and giving that to you. And that's

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a long-term commitment. That's something

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we're very focused on is making sure the

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customers here do better and better.

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It really what is this all

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about? This is about

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freedom. Bitcoin is

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freedom. A digital transformation of

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your capital structure provides freedom

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strategy. 3,000% return in three years

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provides freedom economically to our

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shareholders.

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And I will argue that what we are going

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to do to the data world provides freedom

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to your data and to your intelligence

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into your information. That's important

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today, more important than

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ever. 36 years ago when we were founded,

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we were founded on a singular vision,

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intelligence everywhere. and the company

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has toiled through good times and bad

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times trying to make this vision a

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reality. I think

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today in

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2025 strategy with our digital

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transformation with our capital

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structure with 50 billion dollar worth

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Bitcoin with the advent of generative

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AI and the technology waves of change

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that that is

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creating. We are closer than ever to

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finally realizing this

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vision. And so, who better to talk about

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the vision of the company that he

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established 36 years ago and to talk

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about how that's going to change the

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world of Bitcoin, of capital, of data,

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of information, than our very

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founder and executive chairman, Michael

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Sailor.

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Good to have you here. Happy to be here.

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Wore the wrong shoes, I see.

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Uh maybe you can sign mine later,

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though. I heard you were doing that last

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night.

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I've signed a few. All right. So Mike,

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um this is a big moment for the company,

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but as the founder, uh I imagine you're

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extraordinarily proud, uh of what we've

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been able to build over 36 years and

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especially in the last 5 years. Why

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don't we just start with with with we

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rebranded the company this year from

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from micro strategy to strategy. Uh why

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did we do it and uh what is the

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significance of the rebrand?

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You know, uh, a great principle of

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design is the design's not perfect until

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there's nothing left to take away. And I

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think,

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uh, Apple proved that, uh, with designs

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like the iPhone where they just kept

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pushing the edge of the envelope. Can I

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take away the keypad? Can I take away

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one more button? And um I think if you

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look at the history of of uh great

0:17:53

consumer products

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um the more elegant the simpler it is

0:17:59

the more powerful it is. So when we

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looked at our brand we realized that we

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had outgrown it. Um micro strategy made

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sense when we brought the company to the

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marketplace back in the early 90s. Micro

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was a

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forward-looking idea. We were a

0:18:22

strategic consulting company and and

0:18:24

Micro signified that we were going to

0:18:27

incorporate technology into into

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decision support. But of course, 30

0:18:33

years later, technology is in the fabric

0:18:35

of everything. It was no longer

0:18:37

necessary to signal that you had

0:18:39

microprocessors backing what what your

0:18:42

product was. And um you know we looked

0:18:45

at all of the you know the great brands

0:18:49

uh in the world.

0:18:52

Google,

0:18:54

Amazon. We thought about people we can

0:18:56

remember. Eventually we remember them by

0:18:59

their first name or their one name.

0:19:02

Julius Caesar became Caesar. Napoleon

0:19:05

Bonapart became Napoleon.

0:19:08

Madonna Prince

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Sting. We have an international customer

0:19:15

base. We have an international

0:19:17

shareholder base. And and what we

0:19:21

realize is we had the opportunity uh to

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take ownership of perhaps one of the

0:19:27

greatest words in the English language

0:19:30

which is the language of commerce and

0:19:32

technology in the world. So if you ask

0:19:35

people, you know, give me 10 words in

0:19:37

the English language that are

0:19:39

universally positive. Uh they uh they

0:19:44

cannote

0:19:46

insight. Uh they're uh they're welcome

0:19:49

in any any

0:19:51

conversation. You know, certainly one of

0:19:54

the most powerful words in the English

0:19:55

language is hope. But if you said what's

0:19:58

what's a powerful word in business? The

0:20:00

most powerful word in business I believe

0:20:03

it's strategy. You can't you can't uh be

0:20:06

successful in business without strategy.

0:20:09

You need an investment strategy. You

0:20:11

need a technology

0:20:12

strategy. You can't be successful as a

0:20:16

superpower without a a political

0:20:18

strategy, a defense

0:20:20

strategy. Strategy has just got

0:20:22

incredible power. Uh after 30 years of

0:20:26

seeing people misspell the company name,

0:20:28

they would spell it Micro

0:20:31

Strategies. I I used to meet our

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customers and I would meet customers

0:20:35

that had been doing business with us for

0:20:36

10 years and they said, "Yeah, so you're

0:20:39

from Micro Strategies." And and so I had

0:20:42

real market feedback and my and and my

0:20:45

real world experience combined with my

0:20:47

theoretical experience suggested to me

0:20:50

that if you own

0:20:52

strategy.com and and if there is no

0:20:55

greater company than you squatting on

0:20:57

the strategy handle then less is more.

0:21:01

Take away the micro. Strategy is a word

0:21:04

that it's much easier to spell, easier

0:21:07

to say, easier to see.

0:21:11

easier to remember, easier to type. And

0:21:16

uh I think you can see it here at the at

0:21:19

the conference when you look around and

0:21:21

you see the strategy branding. One of

0:21:23

the one of the interesting nuances of of

0:21:27

words is it if you want to make the word

0:21:31

four times weaker, make it twice as

0:21:34

long. when you stretch it, the font gets

0:21:38

smaller. And so we we've taken a word

0:21:43

and we've made it four times stronger

0:21:45

and we've made it

0:21:47

international. And uh you know how many

0:21:50

billions of uh school children will be

0:21:52

taught how to spell strategy? And the

0:21:55

answer is all of them. And uh how many

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if you asked a billion people do you

0:22:03

react favorably to the word strategy?

0:22:05

every one of them. If you went to the

0:22:08

same sample set and said, "How many of

0:22:10

you like micro strategy and think m how

0:22:14

do you how many of you think micro

0:22:16

strategy is a good idea?" And the answer

0:22:19

is most pe 1% of them will recognize it

0:22:23

and half of them will think why would I

0:22:25

want a micro strategy when I could have

0:22:27

a a bigger a macro strategy or or or a

0:22:33

global strategy or a digital strategy.

0:22:36

So we um we thought now is the time

0:22:40

because we do have this international

0:22:43

need to communicate to a billion people

0:22:45

and we have as we pointed out on our

0:22:48

earnings call a few days ago we now have

0:22:51

55 million beneficiaries in the world

0:22:54

and so it's time for us to go global.

0:22:56

It's time for us to provide uh the world

0:22:59

with a consumer brand that stands for

0:23:03

empowerment, that stands for success,

0:23:06

that's uh that's

0:23:08

egalitarian, that's unifying,

0:23:11

uh and uh that's

0:23:14

powerful. Thank you.

0:23:17

Um you know we went through this

0:23:19

exercise uh last year of coming up with

0:23:23

the core values of the company and one

0:23:26

of the values uh that we are or are

0:23:29

editing we had them before and one of

0:23:31

the values that that we toyed around

0:23:33

with with was innovative

0:23:36

uh and then we looked and found out that

0:23:38

80% of technology companies have a core

0:23:41

value called innovative and so I didn't

0:23:44

think that would be a very innovative

0:23:45

value. Uh, and so we centered on this

0:23:49

word bold and bold is beyond innovative

0:23:53

because it takes creativity and

0:23:56

intelligence. It also takes guts. Um, I

0:24:01

remember you and I hashing through five

0:24:03

years ago what to do with our balance

0:24:05

sheet. And uh, I think people would say

0:24:09

what we did was pretty gutsy and bold.

0:24:13

uh tell the audience and folks in

0:24:16

general, you know, you founded this

0:24:18

company, you've taken it through many

0:24:20

ups and downs. This is the biggest by

0:24:22

far. How why is it important to be bold

0:24:25

as you go through a digital

0:24:26

transformation of your organization?

0:24:29

Um consensus

0:24:32

thinking won't result in success in a

0:24:37

world of 400 million competitive

0:24:41

companies.

0:24:42

Um once if you walk down the street and

0:24:45

you ask a hundred people, do you think I

0:24:48

should do this? And most of them agree

0:24:51

with you, then there's no way for you to

0:24:54

break free of that competitive uh

0:24:59

dilemma.

0:25:00

So, you know, the idea that we should

0:25:02

sell products and take the dollar or the

0:25:04

idea that we should speak English or the

0:25:06

idea that we should work in offices or

0:25:09

the idea that we should use a computer,

0:25:10

the these these are all great strategies

0:25:15

when everybody else disagrees with you,

0:25:18

when you're the first. But um at some

0:25:22

point if you find yourself stuck in a

0:25:25

competitive uh a competitive dilemma

0:25:28

when uh when you can't break free um

0:25:31

then you have to do something that's

0:25:33

bold and uh and that means doing

0:25:37

something that if you walk down the

0:25:38

street and asked a 100 people did do

0:25:40

they think you should do it? If 95 of

0:25:44

them said no, then then probably it's a

0:25:47

it's a getting to be popular bold

0:25:49

decision. If 99 of them said no, then it

0:25:55

might work for you. It might just work.

0:25:58

And and the example of that is you

0:26:01

invest in Amazon when everybody thinks

0:26:03

Amazon is a stupid idea going bankrupt

0:26:05

and that's when you'll make 30 extra

0:26:07

money. And in uh the summer of 2020,

0:26:10

every single person in the world agreed

0:26:12

that Amazon was critical to the

0:26:14

civilization and you should buy Amazon

0:26:16

stock. Nobody made any money. It's the

0:26:18

worst performing right of the

0:26:20

Magnificent 7. So you have to do

0:26:22

something which is bold and and you have

0:26:26

to you know you have to think from first

0:26:28

principles like uh bold starts with a B.

0:26:32

Look at our logo and where do you see

0:26:35

the bee? When we shrunk our our brand to

0:26:40

strategy, we created space in our brand

0:26:43

for a bold innovation. The the bold

0:26:46

innovation on your lapel pen. Uh if you

0:26:49

think about the 10 most popular symbols

0:26:53

in the world, think about the most

0:26:56

popular iconic symbols in the world. I

0:26:58

dare you to think through 10 and list

0:27:00

them. I think most people would say the

0:27:04

dollar. They might say the

0:27:07

cross, right? They might say, you know,

0:27:10

they may they might say the Islamic

0:27:19

crescent and that be we I don't know

0:27:19

where we sit in the top 10, but I'm

0:27:21

quite sure that we catapulted ourself

0:27:25

into having a corporate logo that is one

0:27:27

of the 10 most recognizable symbols on

0:27:30

earth. And uh with 8 billion people

0:27:33

competing for recognition, that's no

0:27:36

mean feat. Um, our decision with Bitcoin

0:27:40

was was driven out of experience. We had

0:27:45

we had 30 years of business experience.

0:27:47

It was it was driven out of uh uh

0:27:51

realization, right? We embrace reality

0:27:53

and and after you tried, you know,

0:27:56

there's this phrase, this joke about,

0:27:59

you know, Winston Churchill said it

0:28:00

about Americans. He said, "Americans,

0:28:02

they'll do the right thing after they've

0:28:04

tried everything else."

0:28:07

and we had tried everything else. And uh

0:28:10

and when you've tried everything that's

0:28:13

not bold, when you've tried everything

0:28:15

conventional, then you either you either

0:28:19

have the courage to take a risk or or

0:28:23

you know you suffer this life of quiet

0:28:27

desperation and you meet you know in a

0:28:29

mediocre fashion you fade from history.

0:28:32

And uh we decided that we were going to

0:28:36

we were going to not fade from history

0:28:38

in a mediocre fashion. We had to take a

0:28:40

risk and uh and that risk was to

0:28:43

recapitalize the company on an asset

0:28:47

which on paper from first principles

0:28:49

looks better. It looks like a big tech

0:28:52

monopoly. It looks like digital gold. If

0:28:55

it's digital gold, it's 100 times better

0:28:57

than gold. If it's the next unrecognized

0:29:00

digital monopoly, it's going to grow by

0:29:02

10 to 30, right? Find something

0:29:05

everybody needs. Nobody can stop and

0:29:09

nobody under few people few people

0:29:11

understand, right? Where most people

0:29:14

just don't agree with you. And when it's

0:29:16

a non-consensus thing from first

0:29:19

principles, there is an opportunity and

0:29:21

we've we've seen these things throughout

0:29:23

the history of business. Um, we were

0:29:27

inspired and uh we were catalyzed

0:29:30

uh by our history and by the events of

0:29:33

uh 2020 and uh I think the results speak

0:29:37

for themselves.

0:29:39

Well, thank you for that. And you also

0:29:42

did all of us a service. I think you

0:29:43

explain to a lot of our partners, our

0:29:46

banking partners, our legal partners,

0:29:50

our technology partners, why we

0:29:53

constantly ask you to come along for a

0:29:55

ride and do the impossible. And when you

0:29:58

give us ideas that everyone else has

0:29:59

done, we say no. Do something that no

0:30:02

one else has done. And I think it's a

0:30:04

it's it's a great concept for capital

0:30:08

markets, for corporations, but we'll

0:30:10

talk about why it's an important concept

0:30:12

for data, too. Um, one of the lesser

0:30:16

known things that have happened over the

0:30:18

last five years with strategy is how

0:30:22

we've used AI and Gen AI specifically to

0:30:27

come up with our strategy. And uh I

0:30:29

sometimes tell people that you're one of

0:30:31

the biggest power users of Gen AI and

0:30:34

that our digital transformation, our

0:30:37

capital transformation was AIdriven and

0:30:40

people are a little surprised to hear

0:30:41

that. Tell share share share with the

0:30:44

group exactly the story of of how you

0:30:47

use AI and how the companies used it to

0:30:49

transform our capital structure.

0:30:52

Um, you know, when uh the first chat

0:30:56

programs came out, they were cute and

0:30:59

then they started getting smart. And uh

0:31:02

when the first image generators came

0:31:04

out, they were cute and then they

0:31:06

started getting smart and then they

0:31:08

started getting better. And and um I was

0:31:12

uh I was drawn into the world because I

0:31:15

wanted to be able to communicate

0:31:17

messages.

0:31:18

So, first we would uh we would generate

0:31:21

images and and uh eventually I found

0:31:24

that computerenerated portraits of

0:31:27

myself are actually better looking than

0:31:29

I am. No, no, no, no,

0:31:33

no. But humble

0:31:36

brag. No, no. Uh actually the more

0:31:40

important point is if you wanted to make

0:31:42

a point it was a lot easier to put

0:31:43

myself on Mount Everest with a

0:31:46

computerenerated image than doing it in

0:31:48

the real world. And so we started to to

0:31:52

generate content much more rapidly. Then

0:31:55

uh then I realized I could uh I could

0:31:58

use AI as an editor and it became my

0:32:01

editor. And you know, you want to you

0:32:03

want to make a sophisticated point, but

0:32:05

you're in a hurry and you have people

0:32:07

say, "Do you run your own X account?"

0:32:09

Yeah, I run my own X account. I create

0:32:11

my own my own post. And it's like, well,

0:32:14

aren't you worried about misspelling or

0:32:16

mistyping or like can you, you know, is

0:32:18

that the right way to use the hyphen?

0:32:19

And I found, well, it'd be great if I

0:32:21

had an intelligent editor. And I started

0:32:23

using it as an editor. Then I realized,

0:32:27

you know, my job is to is to have an

0:32:30

opinion on does this bill influence

0:32:33

Bitcoin and how. So when when uh they

0:32:37

drop a 200page bill, I realized if I

0:32:40

could put that into AI, summarize it,

0:32:42

query it, and compare it, I could think

0:32:45

a hundred times faster, maybe a thousand

0:32:47

times faster. And I began using

0:32:51

AI to uh to accelerate my ability to

0:32:55

think. Now, um that's pretty important

0:32:58

if there's a hundred bills and you you

0:33:00

know and and uh someone wants to know

0:33:03

what about this, what about that, what

0:33:04

do you think about that document? And uh

0:33:08

you know, I can't afford to have a we've

0:33:12

had 40 people in a marketing department

0:33:14

or working for me. And if I ask the

0:33:17

question, I might wait a few days or a

0:33:19

week to get the answer. But I don't have

0:33:21

a week or a few days. I have

0:33:24

sometimes two minutes. If you want to be

0:33:27

relevant, sometimes something gets if

0:33:30

Elon Musk posts something, you have 60

0:33:32

seconds. The world requires that you be

0:33:35

smarter, faster,

0:33:38

stronger. So I started using it in that

0:33:40

way. And then uh and then not a long

0:33:43

time ago came along deep research and

0:33:45

that was a big aha moment because first

0:33:48

I used an order of magnitude more

0:33:50

computing power and then I used two

0:33:52

orders of magnitude more computing power

0:33:54

and then I started asking questions via

0:33:57

deep research. Well, how would you

0:33:59

design this security or or is is this

0:34:03

possible? I have a a question which

0:34:05

would require five lawyers and three

0:34:08

financeers to answer and it would take

0:34:10

them two weeks to answer and and I would

0:34:12

put this chat in deep research mode and

0:34:15

I would grind it and it would grind

0:34:17

through 50 sources and work for 15

0:34:19

minutes and come back and it doesn't

0:34:22

necessarily give me the answer that I

0:34:24

can immediately act on but it gives me

0:34:26

an uh somewhere between 80 and 95% of

0:34:30

what I need and then I take that to the

0:34:33

finance department. and I take that to

0:34:34

the legal department. So, so a lot of

0:34:37

our innovative uh capital markets

0:34:40

activity, things like strife, things

0:34:42

like strike, we had to fight through all

0:34:45

sorts of complicated legal issues,

0:34:48

complicated financial issues. You know,

0:34:51

we did a convertible preferred stock. It

0:34:54

had never been done before. We uh we

0:34:56

listed on NASDAQ. It never been done

0:34:59

before. We attached the shelf

0:35:00

registration to it. It had never been

0:35:02

done before. We made it a perpetual

0:35:05

dividend good for a thousand years. It

0:35:07

had never been done before. We um we

0:35:10

created a perpetual call option. It had

0:35:13

never been done before. We put a shelf

0:35:16

registration on it. Never been done

0:35:17

before. Now, when you go to when you go

0:35:20

to uh 25 professionals with 30 years

0:35:23

experience, say, "I want to do 20 things

0:35:25

that have never been done before, and I

0:35:27

want to do them in a hurry. I need an

0:35:29

answer in the next 48 hours, right? That

0:35:32

that creates a very stressful situation.

0:35:35

And what I found with AI is the AI

0:35:38

doesn't have a lot of ego. I can ask it

0:35:41

a question. I can tell it that's not

0:35:43

right. I can tell it that's stupid. I

0:35:45

can disagree. I can work through my

0:35:47

issues. And then after I've gone through

0:35:49

20 iterations which would have ground

0:35:52

human beings into a

0:35:58

pulp, you know, I I can then take the

0:35:58

95% answer to the finance team and the

0:36:01

legal team and the bankers and the

0:36:03

market and say I think this is this is

0:36:06

plausible. And I don't just share the

0:36:09

result. I share the link. I say go into

0:36:11

the chat. You know, I've uploaded 27

0:36:15

documents. I've actually had to grind

0:36:17

through case law of every public company

0:36:20

that's ever done this before. I've

0:36:22

analyzed the finance. I think it's more

0:36:24

likely than not this will work. And at

0:36:27

that point, when you've taken the

0:36:29

process to

0:36:31

95%, you can then get to a result and

0:36:34

build consensus. And half of half of AI

0:36:37

is about consensus and doing it in a

0:36:39

cheerful, constructive way. Right? When

0:36:43

I'm yelling, I prefer to yell at the AI,

0:36:46

right? I really want to do this. No, you

0:36:49

can't. Well, what if I do this? No.

0:36:51

Well, and eventually get the you get to

0:36:53

a point where maybe you can move forward

0:36:56

and and I can say, you know, with a high

0:36:58

degree of confidence, right? Uh a lot of

0:37:01

the things we've done in the capital

0:37:03

markets, we just couldn't have done

0:37:04

that. They were those two preferred

0:37:07

stocks, Strife and Strife are the first

0:37:09

AI designed uh securities that I know of

0:37:14

certainly in in our industry. So, so I I

0:37:17

I've I've been inspired by it and and I

0:37:20

think we're just scratching the surface

0:37:22

that, you know, the next step will will

0:37:24

be to go from deep

0:37:26

research, which is where, you know, I

0:37:30

you know, by the way, I went from the

0:37:31

$20 a month, you get a a few of these

0:37:33

things to the $200 a month subscription

0:37:36

where you get unlimited to the we're

0:37:38

cutting you off because even unlimited,

0:37:40

we think you're you're burning our

0:37:42

silicon. Yeah. I I I I think we're gonna

0:37:47

go from deep research to agents where I

0:37:50

just say, "Hey, you work for me. Scan

0:37:53

everything in the, you know, in the

0:37:56

Twitter sphere uh today about knowing

0:37:59

what I think and tell me what I should

0:38:01

say and I'll tell you what I'm going to

0:38:03

do it." And then scan the capital

0:38:05

markets. I tend to ask questions like,

0:38:07

"Look at every single publicly traded

0:38:09

company and give me the open interest

0:38:11

divided by their market cap and the

0:38:13

liquidity and the trend of the liquidity

0:38:15

and then tell me where we stand."

0:38:18

Click.

0:38:20

Okay. And the next step will be, "Well,

0:38:23

why don't you just do that every day?"

0:38:25

And then, you know, so what I think I've

0:38:28

I've learned is we're going to consume

0:38:31

exponentially more silicon and

0:38:33

exponentially more

0:38:35

uh electricity and digital power um

0:38:39

because that's the way you break through

0:38:42

to the new idea and the new market and

0:38:46

um you just you just can't go the 20th

0:38:50

century way. You can't even you can't

0:38:52

even do things the way we did it three

0:38:54

four years ago. It's and in the words of

0:38:58

Magnus

0:38:59

Carlson it's too weak. It's too slow.

0:39:03

You have to be faster and stronger and

0:39:07

smarter.

0:39:08

You know, um I I I get the uh

0:39:12

extraordinary uh pleasure of being on

0:39:14

the receiving end of Saturday morning

0:39:17

messages from Mike. Look at my AI chat

0:39:20

and uh tends to be like four pages long

0:39:23

and I read it uh at 4 in the morning

0:39:25

while I'm working out. Um, and you're

0:39:29

quite constructive and cheerful in those

0:39:32

chats with the AI, which is a little

0:39:34

different than sometimes, but I feel

0:39:36

like it's made you a nicer, more

0:39:38

cheerful, constructive person in

0:39:40

general. Uh, and so I think there are

0:39:42

other um civilization level benefits of

0:39:46

AI. It's going to cause people to be

0:39:48

nicer to each other. What are what are

0:39:51

some of the other big things you think

0:39:54

AI will do to the world?

0:39:57

You know, I think it's uh if we think

0:40:00

about classic economics,

0:40:03

um econ the economy was about uh land,

0:40:08

labor, and capital. And you use those

0:40:11

three components to create prosperity.

0:40:13

And I think we're living in this digital

0:40:15

transformation

0:40:17

where digital land or digital property,

0:40:21

digital labor, digital

0:40:24

capital. And and it's, you know, it's

0:40:26

it's pretty clear that the agents in

0:40:29

cyerspace are going to work a billion

0:40:31

times harder or a billion times faster

0:40:34

for us all. It's pretty clear that those

0:40:37

those bots will be put into robots and

0:40:39

the cars are going to drive themselves.

0:40:41

And at

0:40:43

sometime in in our lifetime, we'll have

0:40:46

talking, walking, useful robots. And so

0:40:49

so the robots are coming to the real

0:40:52

world. The agents are coming to the

0:40:54

cyber world. You're going to see an

0:40:57

explosion of digital labor. Um I think

0:41:01

we'll need less physical property and

0:41:03

we'll need less physical labor. There'll

0:41:06

be a dramatic decrease in the physical

0:41:08

labor component in the economy. And of

0:41:11

course, if the robots and the agents are

0:41:13

doing a lot of work, they don't need as

0:41:15

much real estate. They don't need as

0:41:16

much physical property. What they do

0:41:19

need digital property, intellectual

0:41:22

property, right? So, so the in access to

0:41:26

proprietary data. Turns out that I'll

0:41:29

tell the AI a question, you know, give

0:41:31

me the the 30-day call rate, you know,

0:41:35

selling call options at the money. and

0:41:38

it's really good at calculating it, but

0:41:40

it gets shut down if it's scraping a

0:41:43

website. It needs a clean data feed. A

0:41:46

and so I'm either hyper intelligent or

0:41:48

I'm stupid as can be. It'll give me the

0:41:51

absolute wrong answer if it has to

0:41:54

scrape a website, but it'll give me a

0:41:56

perfect answer when I give it clean

0:41:58

data. So, so digital property in the

0:42:01

form of data feeds, you know, what what

0:42:03

is the vector trajectory of every iPhone

0:42:05

in the world right now? If you give that

0:42:08

to the AI, you get some interesting

0:42:10

results. What what is the status the

0:42:12

open interest of every public company

0:42:14

everywhere in the world right now,

0:42:16

you'll get interesting insights. So I

0:42:19

think the companies that have digital

0:42:22

properties, right? It's not so much the

0:42:25

Bessemer process for creating steel.

0:42:27

It's not a static, you know, knowhow.

0:42:29

The AI figures out how to do things

0:42:31

statically pretty well. what it doesn't

0:42:33

do is it doesn't figure out h you know

0:42:36

how do I extract realtime proprietary

0:42:39

data feeds and so I think that that uh

0:42:42

the value of data which which you know

0:42:46

all of our customers have the value of

0:42:48

proprietary data is going to explode and

0:42:51

you got to think about you know can I

0:42:53

license my data to someone else so that

0:42:56

they can plug it into an AI so they can

0:42:58

change their product and I think um uh

0:43:02

digital capital isn't, you know, which

0:43:04

is Bitcoin is very important. When you

0:43:07

when you come away from these things,

0:43:09

you think if I plug digital intelligence

0:43:14

and digital labor into digital

0:43:18

property, by the way, property is

0:43:21

heterogeneous. There's there's 10,000

0:43:23

proprietary databases just like real

0:43:26

world property is heterogeneous. Tokyo

0:43:28

real estate's different than New York.

0:43:30

So digital property is a whole set of

0:43:32

thousands of of heterogeneous but very

0:43:35

valuable things in the world. The

0:43:38

digital labor and the and the digital

0:43:42

intelligence less heterogeneous. You

0:43:44

know there are going to be some monster

0:43:46

models and everybody's going to use

0:43:47

them. Digital capital

0:43:50

Bitcoin homogeneous. You know a Bitcoin

0:43:53

is a Bitcoin. And what you're going to

0:43:55

see is is companies are going to create

0:43:58

extraordinary products, extraordinary

0:44:00

services. There's going to be a 100x

0:44:03

increase in productivity. There's going

0:44:05

to be a 100x increase in in everything.

0:44:10

We're going to produce more of

0:44:11

everything in every way that everybody

0:44:13

can imagine.

0:44:15

And if you're a corporation, if you're a

0:44:18

private actor, if you're a capitalist,

0:44:20

what are you going to do with that

0:44:21

capital? you're gonna roll it into

0:44:24

Bitcoin. The AIs are going to want to

0:44:26

are going to want to buy the Bitcoin.

0:44:28

The companies are going to buy the

0:44:30

Bitcoin. The demand is going to be for

0:44:33

the most scarce, desirable, liquid,

0:44:35

fungeable capital asset. And so, the

0:44:38

explosion of productivity with digital

0:44:42

property and digital intelligence and

0:44:44

digital labor will create an explosion

0:44:47

in demand for digital capital. And I

0:44:51

think all of those are just mutually uh

0:44:54

beneficial trends. And if you're a

0:44:57

company, you just want to figure out how

0:44:59

your shareholders benefit, how your

0:45:01

customers benefit, how how your

0:45:03

employees benefit from this trend.

0:45:08

Awesome. So

0:45:09

other last question.

0:45:13

Um you've been wildly successful in your

0:45:16

career. The last five years, Strategy

0:45:19

has been the most successful company in

0:45:22

the world,

0:45:23

arguably because of a digital

0:45:25

transformation of our capital.

0:45:28

Um, other than buy Bitcoin, what advice

0:45:31

do you have for folks here who want to

0:45:33

transform themselves and their

0:45:35

companies?

0:45:39

think, you know, it's it's pretty

0:45:43

clear you want to harness digital

0:45:46

intelligence and harness digital

0:45:50

capital to drive your cost down, drive

0:45:53

your productivity up, improve your

0:45:55

products, improve your services. You

0:45:58

want to look for that revolutionary new

0:46:01

product. You want to look for that

0:46:03

revolutionary new service. You want to

0:46:07

improve your securities. You want to

0:46:09

revolutionize your capital

0:46:11

structure. What I say oftentimes is,

0:46:13

yeah, you want to 10x your money, you

0:46:15

buy Bitcoin. You want to 100x your

0:46:17

money, you buy Bitcoin with somebody

0:46:19

else's money. You want a thousandx your

0:46:22

money, you buy Bitcoin with someone

0:46:24

else's money, and then you lever the

0:46:26

Bitcoin. And so my advice is think about

0:46:31

innovative ways to build the most

0:46:34

powerful capital structure in the world.

0:46:37

And that'll be the subject of my talk

0:46:39

later

0:46:40

today while you're thinking about ways

0:46:43

to actually build the most compelling

0:46:46

transformational products or services in

0:46:49

this world. And and if you can't do

0:46:51

that, at the very least, make sure that

0:46:53

you yourself are a thousand times or a

0:46:57

million times smarter, faster, stronger.

0:47:01

Or if you happen to be like me and you

0:47:03

post pictures, make sure you're million

0:47:05

times better looking and put yourself on

0:47:08

the top of Mount Everest.

0:47:15

Oh, Michael, thank you uh for all you've

0:47:15

done for all the individuals in this

0:47:18

room and in the world for Bitcoin, for

0:47:20

intelligence, for data, for software.

0:47:24

Such a pleasure working with you. Thank

0:47:30

you. Thank you.

0:47:39

That was fun.

0:47:41

Um, why don't we just do one more round

0:47:44

of applause for the giga chat himself,

0:47:54

Michael. So, you're all wondering where

0:47:56

this is going, aren't you?

0:47:58

Let's talk about how do we digitally

0:48:02

transform our data and how we will

0:48:06

enable you all to take the lessons of

0:48:09

what our company has

0:48:11

done, what AI

0:48:14

provides to digitally transform your

0:48:17

organizations. Okay, I want to tell you

0:48:20

three stories. First, um, I'll start

0:48:23

with, and these are stories about, uh,

0:48:25

I'll call it three different

0:48:27

revolutions. I'll start with the

0:48:29

consumer revolution. Uh, prior to World

0:48:33

War I, uh, if you wanted to buy, uh, an

0:48:37

apple, you might go to the grocery store

0:48:40

down the street. you want to buy a cake,

0:48:43

you might go to the baker around the

0:48:46

corner, you know, place your cake order,

0:48:48

take you a couple days. Uh, and if you

0:48:51

wanted to buy a shirt, nice shirt, you

0:48:53

might go talk to your tailor, you know,

0:48:56

a block down the street and say, "Hey,

0:48:58

make me a shirt." And you get it in

0:49:00

about a week, maybe two weeks, depending

0:49:01

on where you are in your shirt pecking

0:49:03

order with your tailor. Uh, and

0:49:07

everybody's happy. It's pretty good

0:49:08

process.

0:49:10

uh World War II came along and post

0:49:13

World War II in the US came the era of

0:49:17

the consumer revolution. With the

0:49:19

consumer revolution came the advent of

0:49:23

grocery stores,

0:49:25

supermarkets,

0:49:27

hypermarkets, and

0:49:30

automobiles, suburban living, and you

0:49:32

could go hop in your car and you could

0:49:34

go to one store that had four or five

0:49:37

different apples to choose from. You

0:49:40

could have an entirely bakery section

0:49:42

and you could get cakes without having

0:49:44

to order them. And you'd have a clothing

0:49:46

section where you could have five

0:49:48

shirts, 10 pants, cool sneakers, and

0:49:52

selection broadened. And it was great.

0:49:56

And what made that happen? What made

0:49:59

that happen was not because the farmers

0:50:02

and the bakers and the tailor got

0:50:04

better. What made that happen was the

0:50:06

rise of a supply chain, an industrial

0:50:08

supply chain, right? Uh so then from the

0:50:11

farmer would go to a wholesaler, it

0:50:14

would go to a warehouse to a delivery

0:50:18

company who would bring the goods to the

0:50:21

supermarket and everybody was happy.

0:50:24

Great consumer choice. So much more was

0:50:27

available. Perfect.

0:50:29

Except for the maker, the farmer, the

0:50:34

baker, the tailor, they didn't get more

0:50:37

money, that they got less. And as you

0:50:40

got into the 1950s, they went from 90

0:50:43

cents on the dollar for that apple went

0:50:45

to the farmer to 50 cents on the dollar

0:50:48

on that apple going to the farmer. But

0:50:50

you were happy. You're the consumer. You

0:50:52

got more apples. You're pretty happy.

0:50:54

You got to go one place. And then what

0:50:56

happened after that was the technology

0:50:59

transformation of the consumer

0:51:01

revolution. The rise of

0:51:03

ecommerce, the ability to go to one

0:51:06

place

0:51:07

online, order an apple, five apples, get

0:51:12

them to your place, shipped doortodoor

0:51:14

in an hour. You don't even have to leave

0:51:15

your house. And man, if you wanted a

0:51:17

cake, you wanted a Hostess Twinkie, you

0:51:20

could get that thing, too right to your

0:51:22

doorstep whenever you want. You pay a

0:51:24

little bit for delivery. You want a

0:51:26

shirt? Now you have a million shirts to

0:51:28

choose from. As many as you could want.

0:51:31

Beautiful. Consumers are happy. Sure.

0:51:34

Maybe the apple took a month to get from

0:51:37

its farmer to your

0:51:40

destination in the winter months. You

0:51:42

know, it takes even longer than that,

0:51:44

right? Sure, maybe that Hostess Twinkie

0:51:46

has been filled with preservatives, so

0:51:48

it could be sitting on the shelf for a

0:51:50

year or two years, and by the time you

0:51:52

eat it, it doesn't at all resemble the

0:51:53

cake. And sure that shirt you got, maybe

0:51:57

it was shipped from another country and

0:51:59

you can wear it for a year, you launder

0:52:00

it a couple times, starts to fall apart.

0:52:03

But we're all happy. We're in a better

0:52:05

place, aren't

0:52:06

we? That's the consumer

0:52:09

revolution. Now, I'll tell the story

0:52:12

about the financial revolution. Many of

0:52:14

you here know this story really well,

0:52:16

and I'm going to pick at the words I use

0:52:18

and say, "You didn't say that exactly

0:52:19

right." And many of you here are getting

0:52:22

new information and exposed to this

0:52:24

story. Let's go back to preWorld War I.

0:52:28

You went into that ger, the baker, uh,

0:52:33

or the tailor. You paid with dollar

0:52:37

bills, with coins, and you were happy.

0:52:41

Sure, you had a purse or a wallet or,

0:52:44

you know, if you were buying something

0:52:45

bigger, you had a suitcase full of

0:52:47

bills. You were happy. worked pretty

0:52:49

well. And never did you really think to

0:52:51

yourself, huh, what's behind this?

0:52:54

Because you knew behind that most

0:52:56

currencies around the world were backed

0:52:58

by gold. US government, Argentinian

0:53:01

government, Turkish government, all them

0:53:03

one for one gold backing to that. And

0:53:05

never did you really think about

0:53:07

inflation because the global production

0:53:09

of gold outside of gold rushes is two or

0:53:12

3%. So never did you think you know that

0:53:15

apple is going to go from costing 5

0:53:17

cents to 10 cents to 50 cents because it

0:53:20

didn't really ever

0:53:22

happen. What ended up happening after

0:53:24

that as you all know is as the US got

0:53:26

off the dollar standard or the US dollar

0:53:29

got off the gold standard the US became

0:53:31

the world reserve currency the dollar

0:53:33

became the world reserve

0:53:35

currency. Then it went from 2% inflation

0:53:37

to 7% inflation in the course of last

0:53:40

hundred years. And as you sit here

0:53:42

today, you do think about what's backing

0:53:43

that dollar and you do think about the

0:53:46

fact that things cost twice as much from

0:53:50

one year to the next. Even more

0:53:52

interesting and additionally, as the

0:53:55

consumer revolution occurred came the

0:53:58

rise of credit. You didn't really want

0:54:00

to have to carry the coins and the

0:54:02

dollar. You want to show off and go tell

0:54:05

the bartender or the ger, "Hey, put on

0:54:07

my tab." That was fun. put on my tab.

0:54:10

And so they had tabs with you. You had

0:54:13

tabs with hundreds of vendors and a way

0:54:16

rose the credit card industry. Diners

0:54:18

Club, American Express, Visa, Mascar, a

0:54:21

lot of our customers. It was a great

0:54:23

thing. Now you could buy more than you

0:54:25

had money for, but it was an immediate

0:54:28

transaction. And what happened on the

0:54:30

back of that? The middleman, somebody in

0:54:33

there takes three and a half%. You get

0:54:35

some points. You're all happy as a

0:54:37

consumer. The credit card is there and

0:54:40

as long as you pay off the credit card

0:54:41

every every every every month it costs

0:54:43

nothing to you essentially. It's

0:54:45

awesome, right? In addition to pay off

0:54:49

those credit cards, you keep your money

0:54:51

now with the

0:54:52

bank, right? Get put your money in a

0:54:54

bank. You don't even ever have to worry

0:54:56

about dollar bills and coins or anything

0:54:58

like that. You put your money in the

0:54:59

bank. They hold your money. They pay off

0:55:02

your credit card every single month.

0:55:03

You're happy. Sure, the bank takes that

0:55:06

money and gets 10% on it. They give you

0:55:08

back half a percent, but you don't care

0:55:10

about that. You've got the frictionfree

0:55:13

world of the consumer revolution and the

0:55:16

digital

0:55:17

revolution. Someone else has your money,

0:55:19

someone else takes care of your

0:55:21

transactions. You can be

0:55:24

oblivious. Of course, you know what

0:55:26

really happens? We're all living it.

0:55:28

Inflation happens. Somebody has your

0:55:31

money. Somebody might be able to seize

0:55:33

your money. No, worst case, somebody

0:55:35

takes 13% off your money and you're

0:55:37

oblivious and you're okay with that. And

0:55:40

of course, you all know where this is

0:55:42

going. Bitcoin solves that problem.

0:55:45

Bitcoin solves the problem of inflation.

0:55:47

And Bitcoin solves the problem of how

0:55:49

money flows across the financial system,

0:55:53

across the world because it's fully

0:55:56

decentralized. That's my second story.

0:55:58

Many of you know that story.

0:56:02

Third story is the data

0:56:05

revolution. I love these pictures.

0:56:07

They're AI generated, but you get the

0:56:09

idea. So don't pick on is that really a

0:56:10

real computer or not because it's not.

0:56:13

Um I lived in this time. This is the

0:56:15

1980s, right? We remember every home had

0:56:19

a computer and eventually every employee

0:56:23

at every company had a computer. And

0:56:25

what did those computers do? They

0:56:27

generated data and information of

0:56:29

bounds.

0:56:32

abundance. All your financial

0:56:33

information went into an ERP system.

0:56:36

Your supply chain information went into

0:56:37

that ERP system. Your CRM system created

0:56:41

customer data, marketing data. Your HR

0:56:43

system had employee data, payroll data,

0:56:46

information

0:56:48

about an asset of your

0:56:51

organizations. And you needed to be able

0:56:53

to access that

0:56:54

data. And so what did you do? You bought

0:56:58

middleware systems, ETL extraction,

0:57:01

transformation and loading systems, data

0:57:04

warehouses. You paid partners and

0:57:07

consultants to implement them so you

0:57:09

could access your data more quickly. Of

0:57:11

course, made sense. You essentially paid

0:57:15

a 25% tax on your data to access your

0:57:20

data. You said, "Hey, this makes sense

0:57:23

though, right? Data is my most important

0:57:24

asset. I'm going to go put it into

0:57:26

someone else's system, into their

0:57:28

server, and I'm going to pay them 25%

0:57:31

along with a partner to access my data.

0:57:34

And that is the world we live in today.

0:57:36

And everyone says that's normal, right?

0:57:39

I pay the middleware vendor, I pay the

0:57:43

data warehouse vendor, I pay strategy,

0:57:47

the BI vendor, I pay some large systems

0:57:51

integrator around the world for my data.

0:57:54

Makes sense. It's worth it. It's a It's

0:57:57

the price of commerce. It's the price of

0:58:01

doing

0:58:03

business. I think you get where this is

0:58:05

going a little

0:58:07

bit. The consumer revolution, the

0:58:10

capital

0:58:11

revolution, and now the data revolution

0:58:14

have a

0:58:16

cost. And that cost goes from the

0:58:18

artisan to the industry to the internet

0:58:22

in the consumer revolution.

0:58:24

Not sure the internet is the final

0:58:26

answer to that revolution. I don't

0:58:28

really need 8,000 shirts to choose from

0:58:31

when I'm

0:58:32

online. I just want the shirt for

0:58:35

me. I'm pretty sure Bitcoin is the

0:58:38

answer to the capital

0:58:40

revolution. So what is the answer to the

0:58:43

intelligence

0:58:46

revolution? Now you know they say

0:58:48

strategy is the

0:58:49

answer. So what are the keys to this

0:58:52

revolution?

0:58:54

First, I believe number one, we need to

0:58:57

get back to valuing the

0:58:59

maker. A lot of you in this room are

0:59:02

makers. You you tinker, you create

0:59:05

things, you invent things, right? Don't

0:59:08

you want to own that? I mean, if you're

0:59:11

the farmer, like, you know, actually

0:59:14

producing the apple, shouldn't you get

0:59:16

90% and not 5% or 10%. Right? If you're

0:59:20

the laborer and you get paid 15 bucks an

0:59:24

hour, don't you want that 15 bucks?

0:59:27

Don't you want to not get it deflated 7%

0:59:30

a year? Don't you not want to have to

0:59:33

pay a financial

0:59:35

institution 5% or 10% or a credit card

0:59:38

company? Keep your

0:59:41

money, right? And if you're the company

0:59:44

that produces your

0:59:47

data, you're the maker of that data,

0:59:50

don't you want to have control over that

0:59:52

and own that? And of course, the the

0:59:55

opposite of that is minimize the

0:59:57

middleman, right? Like look, a lot of

1:00:00

you work for the middleman. A lot of you

1:00:02

are middlemen. I've been a middleman.

1:00:06

But let's give value back to the maker

1:00:08

and take it away from the shippers, the

1:00:11

financial

1:00:13

institutions and all of the data

1:00:16

companies in

1:00:18

between. Self-custody your

1:00:21

assets. Right? This is a very simple

1:00:24

thing. What you own should be yours.

1:00:27

You've got money. You've got Bitcoin.

1:00:29

Self-custody it. It doesn't really mean

1:00:31

literally self- custody, which I'll get

1:00:34

into a big debate on with our Bitcoin,

1:00:36

right? You can pay a custodian a small

1:00:38

amount, but you got to own that. You got

1:00:40

to know that's your Bitcoin, not theirs,

1:00:42

right? Your data. You could pay a cloud

1:00:45

hyperscaler because they'll more

1:00:47

efficiently house your data or transact

1:00:49

your data. Make sure it's your data.

1:00:51

Don't give them the rights to then go

1:00:53

train an AI with your data. And if you

1:00:56

want them to do so, as Mike said, sell

1:00:58

your data.

1:01:00

In fact, that's a great way to make

1:01:01

money. Own your data. Maximize the

1:01:05

speed. You know, just because a Twinkie

1:01:07

shows up at your front door doesn't mean

1:01:09

it hasn't been on a shelf for a year.

1:01:12

You want when that thing gets out of the

1:01:14

oven to get into your mouth as fast as

1:01:18

possible, right? Same with your data.

1:01:22

You guys deal with this, right? like,

1:01:24

"Oh, I'm going through this two-year

1:01:26

data warehouse implementation project to

1:01:28

put my data warehouse in the cloud. I'm

1:01:30

going to pay somebody $20 million so I

1:01:33

can give immediate access to my

1:01:36

users to their data." There a little

1:01:39

irony in that. How many of you here are

1:01:41

BI people who are like, "Yeah, I'm so

1:01:44

ready to do this, but I'm waiting for my

1:01:46

digital transformation of my data and

1:01:48

I'm spending two, three years on it."

1:01:51

And this last one is personalize the

1:01:53

experience. Right? What's nice about

1:01:55

e-commerce and it's getting there is it

1:01:57

recommends things to me when I want

1:01:59

them. I like that. Right. Tik Tok is the

1:02:02

ultimate

1:02:03

example. It uses AI to surface to me

1:02:07

exactly in an uncanny way. The video I

1:02:11

didn't know what I wanted to see. I

1:02:12

didn't know I wanted to see. I didn't

1:02:14

know I wanted to watch. I didn't even

1:02:16

know I cared about honey badgers and

1:02:19

lions. and it just shows up right then

1:02:22

and there and then you see 18 other

1:02:23

Honey Badger

1:02:26

videos. Why shouldn't it work that way

1:02:28

with your data? Why shouldn't your

1:02:31

enduser get to see exactly what they

1:02:34

want to see before they know they want

1:02:36

to see it where they want to see it

1:02:39

instead of in most of our organizations

1:02:41

you've got a thousand employees in a

1:02:44

million

1:02:45

reports and we're right they're just

1:02:47

trying to figure out what to look at and

1:02:48

so ultimately what do they do? they do

1:02:50

nothing. So, how do we solve this

1:02:52

problem? Of course, the answer is Gen

1:02:55

AI. First of all, Gen AI makes this

1:02:58

problem

1:02:59

harder. If you want to build a Gen AI

1:03:02

agent that makes decisions based on

1:03:06

reliable, secure, scalable

1:03:08

data, right, that is just in time,

1:03:11

that's real time. That's hard. That's

1:03:14

what all of your CEOs and boards and

1:03:16

CFOs are asking you to do. I want you to

1:03:19

automate the company using Gen AI and I

1:03:22

don't want you to tell me it's going to

1:03:24

take two years because my data is not in

1:03:27

good shape. I want you to get me this

1:03:30

immediately done

1:03:32

tomorrow. You're like, "Oh how am

1:03:34

I going to do

1:03:35

that?" Not only does it do that, Genai

1:03:38

creates more data in your organization

1:03:40

than you've ever had before. So you

1:03:42

happily go to your hyperscalers and to

1:03:45

your cloud providers and you say them my

1:03:47

data is going to explode

1:03:49

10x. What's going to happen? They're

1:03:50

like, "Well, you'll just have to pay me

1:03:52

10x more. More data, more information,

1:03:55

not getting to the place where it wants

1:03:58

to go." The good thing is not often in

1:04:01

life does something create the

1:04:04

problem and something provides the

1:04:07

solution.

1:04:09

Gen AI does provide the solution. What

1:04:12

else can you have that

1:04:14

processes faster than you ever had

1:04:16

before in memory and gets you the

1:04:19

information personalized exactly how you

1:04:21

want it, right? Genai provides the

1:04:25

solution to the consumer revolution, to

1:04:28

the financial revolution, and now the

1:04:31

data revolution. And this is gets really

1:04:34

exciting, right? We have, and you've

1:04:37

heard Mike talk about it, internalized

1:04:39

Gen AI into the company. You've seen it

1:04:42

with our capital markets decisions. Many

1:04:45

of you as customers see it with how much

1:04:47

faster we're providing technology in a

1:04:50

more efficient way. Our entire

1:04:52

engineering team, and I would like to

1:04:54

think our entire organization thinks Gen

1:04:56

AI first, how to do things faster.

1:04:59

But ultimately what it's going to do and

1:05:02

what we're going to do is provide a

1:05:04

product that solves all these problems,

1:05:08

gives you real-time access to your data,

1:05:11

gets rid of the

1:05:12

middleman, and allows you to fully

1:05:14

personalize a suggestion to every single

1:05:17

problem you've ever had in your

1:05:19

enterprise and your organization.

1:05:22

And so I want to

1:05:23

introduce the first ever within strategy

1:05:27

Gen AI created product to solve a gen

1:05:30

problem with a Gen AI solution. And that

1:05:34

product is called

1:05:35

Mosaic. And this is going to change the

1:05:39

data world. Not just analytics, not just

1:05:42

BI, not just data warehousing, all of

1:05:44

the data world. You're going to hear Sir

1:05:47

Rob talk more about this tomorrow, so

1:05:48

I'm going to leave it at that. But the

1:05:51

digital revolution that this company has

1:05:53

been through, the balance sheet, the

1:05:57

awesome

1:05:58

employees allow us to create a product

1:06:01

that is going to change the data

1:06:03

world and it's going to solve these

1:06:06

issues that are the key to the data

1:06:10

revolution. You as the maker of your

1:06:13

data get to keep your data. You as the

1:06:16

maker of your data don't need to go

1:06:18

through a middleman

1:06:20

to move your data, to store your data,

1:06:24

to access your data. It'll all happen

1:06:26

immediately in memory. You don't have to

1:06:29

give your data to anybody. You own it.

1:06:31

You can sell it if you want. You don't

1:06:33

have to transfer your assets. It'll be

1:06:36

real time seconds. And it's going to be

1:06:39

a fully personalized experience.

1:06:42

Think your endusers, data consumers in

1:06:45

your organization will be able to get

1:06:47

the answer to any question. Your agents

1:06:50

will be able to be automated based on

1:06:53

your data without waiting two years,

1:06:55

without waiting two months. Maybe it's

1:06:58

about two days to put pieces in

1:07:01

place. And that's what we're going to

1:07:03

do. We are going to own and win the data

1:07:08

revolution. That's what strategy is

1:07:10

going to do.

1:07:16

Let me talk about some customers and how

1:07:16

they've started to pave the way for

1:07:17

this. Uh, some of you have probably

1:07:20

never heard of Diagio, but I would guess

1:07:22

90% of you, maybe more, will partake in

1:07:26

Dagio if you didn't last night. Tonight,

1:07:29

Dagio is the brand behind

1:07:33

uh Johnny Walker. Uh, Bullet Bourbon.

1:07:36

Anyone here, a tequila person? Don

1:07:38

Julio? I'm a tequila person. Captains

1:07:40

Morgan, Guennness, and they're a

1:07:42

customer of Strategy, a 20 billion

1:07:45

dollar global company. And what they did

1:07:49

last year with us is they moved Strategy

1:07:53

to the

1:07:54

cloud. And by doing this, they increased

1:07:57

performance to their end user 25%.

1:08:00

People who are consuming data in their

1:08:02

organization using Strategy in the

1:08:04

cloud, you're able to get access to

1:08:06

information 25% faster. And as a result,

1:08:10

the enduser, the consumer was happier.

1:08:13

Their NPS scores of their users uh of

1:08:16

data in organization went up 3x. They

1:08:19

also decommissioned outdated systems.

1:08:22

They decided to value the

1:08:25

maker, minimize the middleman,

1:08:28

personalize the enduser experience using

1:08:31

strategy. So for that reason, I want to

1:08:34

congratulate DAI. We've got some folks

1:08:36

here uh in the room from DIAO uh for

1:08:39

winning our customer experience award

1:08:53

2025 and I encourage you all to use

1:08:53

Dagio products

1:09:01

tonight. Next company I want to talk

1:09:01

about Cisco.

1:09:03

uh many of you who are watching us

1:09:04

online, I almost guarantee have a Cisco

1:09:08

product in between me talking and your

1:09:10

experience and it's

1:09:13

immediate. Cisco is a $50 billion

1:09:16

worldwide company. They uh were one of

1:09:19

the most important companies in the 90s

1:09:21

in the internet area era and they still

1:09:23

are today and they're also one of the

1:09:25

top three companies to work for uh in

1:09:27

the world. corn of Fortune. 10 years

1:09:29

ago, they had a data problem in their

1:09:32

finance organization. It took five days

1:09:35

to operationally close their books,

1:09:37

which meant that in a 90-day quarter,

1:09:39

for an entire 5-day period, they were

1:09:41

flying blind. They didn't know what was

1:09:43

happening in the company operationally.

1:09:45

They were not able to provide their

1:09:46

finance and their operational

1:09:47

organizations access to their own data.

1:09:51

10 years ago they implemented strategy

1:09:53

micro strategy at that point and they

1:09:55

cut that from five days Bday 5 business

1:09:58

day five to business day one an 80%

1:10:01

improvement in their closed process

1:10:04

giving people access to their data

1:10:06

faster and more accurate and more

1:10:09

reliable. 10 years later they're going

1:10:11

through another major transformation and

1:10:13

that's the AI

1:10:15

transformation. They're providing users

1:10:17

that information via reports, via

1:10:19

queries. Now they're going to provide

1:10:21

their folks that information via

1:10:23

generative AI. They're working with us

1:10:25

on that and it's incredible to see the

1:10:27

results. People in finance can just ask

1:10:29

a data question and get the data answer

1:10:32

immediately and know that the data is

1:10:35

reliable. It's coming from a governed

1:10:37

source, a scalable source. And they've

1:10:40

also integrated that experience into

1:10:42

their chat, Webex, of course. So you can

1:10:45

go into WebEx and you can not even talk

1:10:47

to a person, just ask a question, get

1:10:50

access to the data. They have maximized

1:10:53

speed to

1:10:55

data. And for that reason, I want to

1:10:57

congratulate Cisco for winning

1:10:59

strategies 2025 innovation

1:11:09

award. Next company is one of my

1:11:11

favorite. I'm not allowed to have

1:11:12

favorite. Actually, I'm allowed to have

1:11:13

favorites. Emirates. Uh, if anyone has

1:11:17

ever had the pleasure of flying uh,

1:11:20

Emirates, whether it be coach or

1:11:22

business class, it's a luxury elevated

1:11:25

experience. Some of you probably flew

1:11:27

here on an Emirates airline. It's great.

1:11:30

What a great experience. What many of

1:11:34

you don't know is Emirates has a

1:11:36

subsidiary called Dinatada. And some of

1:11:39

you know this because you fly a lot. The

1:11:41

person that checks you in at the airport

1:11:44

might actually have a DNA uh badge or a

1:11:48

lanyard.

1:11:49

Data is one of the largest highquality

1:11:53

airline ground operations companies in

1:11:55

the world and they provide IT systems.

1:11:59

They serve 330 airlines across 136

1:12:04

airports. And I love this number. They

1:12:07

serve

1:12:08

337 meals a day.

1:12:12

If you've ever had a meal on an Emirates

1:12:14

airline, even in coach bus, it's pretty

1:12:15

darn good, right? And they're serving

1:12:18

meals across all the airlines. And

1:12:20

today, they use strategy across their

1:12:23

entire

1:12:24

organization

1:12:26

maintenance, in-flight, personalized

1:12:29

experiences. Their pilots do a

1:12:33

pre-flight check on a mobile application

1:12:36

that's powered by strategy. So you can

1:12:38

feel good by the way if you love the

1:12:39

company that your pilots are using

1:12:41

strategy to make sure that their flight

1:12:43

is safe dynamic pricing using

1:12:47

strategy. And what they're going to do

1:12:50

is they're going to implement Mosaic

1:12:52

because they believe to better

1:12:54

personalize the experience to better

1:12:56

self-custody their

1:12:58

data and to better move the data without

1:13:02

a middleman across the organization to

1:13:04

get even better. And so for that, I want

1:13:08

to congratulate Emirates for winning

1:13:10

2025's strategy global business impact

1:13:24

award. All right. Next, I want to thank

1:13:24

our sponsors. Mentioned these folks

1:13:26

earlier today. Uh some great partners.

1:13:29

Um, Mike talked about uh the digital

1:13:33

transformation of our capital structure

1:13:35

and talking to folks and them all saying

1:13:37

no, no, no, no, no. Some of these folks

1:13:39

are the ones that said no and then we

1:13:40

flicked them to yes. Uh, but they have

1:13:43

really helped us innovate in the

1:13:45

technology space and in the capital

1:13:47

space. So, thank you the

1:13:50

titanium sponsors AWS Caner and Jwood

1:13:53

Capital Advisors.

1:13:55

Thank you to our platinum sponsors,

1:13:57

Active Cyber, Barclays Benchmark, and

1:14:01

PowerBI, Google Cloud, Morgan Stanley,

1:14:04

TD, XPTTO, and 66 Degrees. Thank them

1:14:18

all. And I encourage you uh if you have

1:14:18

time and you're a software company or

1:14:21

sorry you're you you're interested in

1:14:23

software to go visit some of their

1:14:24

booths. Uh if you're interested in

1:14:27

capital transformation your company go

1:14:29

talk to some of these folks. Uh they've

1:14:31

been extraordinary partners to us along

1:14:35

ride. Also our gold silver logo

1:14:37

sponsors. I want to thank them all.

1:14:39

They've made this event successful but

1:14:40

they've also made us strategy

1:14:42

successful. And uh if you're a

1:14:45

shareholder or if you're a user of

1:14:46

strategy, these are the folks behind us

1:14:48

that have helped us along the

1:14:59

way. So I want to end with a few

1:15:01

thoughts.

1:15:07

If you want to digitally transform your

1:15:07

company, and I know 10 years ago this

1:15:10

word was overused, now I think it's the

1:15:12

most appropriate word for what we've

1:15:14

done in strategy. We've digitally

1:15:17

transformed our capital structure. You

1:15:19

want to do the same, we have the

1:15:22

playbook. You want to digitally

1:15:24

transform your technology organization

1:15:26

or your data, we have the solution. But

1:15:31

as you heard what Mike said, to

1:15:34

digitally transform, you have to be

1:15:37

bold. You have to say yes when 95 out of

1:15:43

a 100red people say no. You have to zigg

1:15:47

when everyone else

1:15:48

zags. And I would argue in the data

1:15:51

world, everyone is zigging now.

1:15:54

Everyone wants to go to the simple I

1:15:57

will buy everything from a hyperscaler.

1:15:59

I will do the same thing as all of my

1:16:02

competition is doing with my data. I'm

1:16:05

putting it into a hyperscaler cloud. I'm

1:16:08

using the hyperscaler data warehouse

1:16:11

solution. I'm using the hyperscaler BI

1:16:14

solution. I am doing what all of the AI

1:16:19

bots will

1:16:21

do. That's not going to work.

1:16:24

I think we all agree data is your most

1:16:26

important asset. Be bold. When we tell

1:16:29

you do something no one else is doing,

1:16:32

you should do it. That's why you're here

1:16:34

in this room. You're here to get some

1:16:36

new ideas. Go to these conferences. You

1:16:38

pick up two or three nuggets. When

1:16:40

everyone tells you to do something,

1:16:42

that's when you know it's not the right

1:16:44

thing to

1:16:51

do. Data transformation.

1:16:51

This is why a lot of you are here. By

1:16:53

the way, even if you're a Bitcoiner, you

1:16:55

got personal data. You've got data in

1:16:56

your company. You got data in your 410k.

1:16:59

You've got data in your investments

1:17:01

portfolio. Right? You are the five

1:17:04

principles. Value the maker. Don't

1:17:06

forget, you're the maker of your data.

1:17:08

You're the farmer of the apple. You're

1:17:11

the laborer of your Bitcoin and your

1:17:14

dollars. It's your data. It's no one

1:17:17

else's. So, get rid of the middleman.

1:17:20

They're not there to help you. They're

1:17:22

not there to speed things up. They're

1:17:23

there to take a tax and a toll on

1:17:26

you. Own your data. Self- custody of

1:17:28

your data. Take speed over everything

1:17:31

else. The next time someone tells you

1:17:33

it's going to take two years to do

1:17:35

something, tell them no.

1:17:38

The next time some SI comes and says,

1:17:41

"I'm going to charge you $20 million in

1:17:45

a year and a half to put in a system to

1:17:48

give you access to your data." Tell

1:17:50

them, "No, it's my data. I'm not going

1:17:52

to do that." And personalize the

1:17:54

experience for the end

1:17:56

user. Free

1:17:59

yourself. Free yourself from the

1:18:02

middleman. Free yourself from paying the

1:18:05

tax in the toll.

1:18:08

You've done it. Many of you seen us do

1:18:10

it. We've freed oursself with Bitcoin.

1:18:13

Mosaic will help free you,

1:18:15

too. This is about freedom. It's a big

1:18:19

word, but that's what we're talking

1:18:20

about. That's what we're doing. That's

1:18:22

what strategy cares about. Freedom with

1:18:25

your money, freedom with your Apple, and

1:18:29

freedom with your data. So, thank you

1:18:31

very much everyone. I appreciate your

1:18:33

time today.

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