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

Bitcoin For Corporations · 2025-08-29 · 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 up.

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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. and I went to the gym and I

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worked out. There's one other person in

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there. I was like, "Yes,

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this is a big day. This is a big day for

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us. This is a big day for our customers.

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Thank you for being here. For our

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partners, for our potential customers,

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for our employees, for our shareholders,

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for our analysts,

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for Bitcoin enthusiasts, for data

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enthusiasts, for be this is big. This is

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big. We revealed this year the

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rebranding

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of Micro Strategy into Strategy. And I

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think the timing

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was perfect. I By the way, I I I went by

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the swag store yesterday. Someone told

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me they somebody spent 700 bucks at our

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swag store. I am. I got the shoes, which

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you can't get anymore. I got the tie,

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which you can still get. I got some

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socks on. I got the pin. I have it all.

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I am all strategied up.

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This company was founded 36 years ago as

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Micro Strategy.

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It went public 27 years ago. This is our

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fifth annual Bitcoin for corporations.

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The first two were virtual if you

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remember. The next two and this one are

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in person. And this is our first ever

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strategy world. And it represents

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a new day, a new brand and a new era and

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a simplification of who we are. And so I

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want to talk today first and celebrate a

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little bit about our growth. Uh we have

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done some amazing things over the last

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36 years, over the last five years,

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and over the last year.

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And those who are shareholders know this

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chart.

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Some of you may not know how much

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success we've seen in five years.

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We have outperformed every S&P 500

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company in the world if you compare us

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and our returns since what we call the

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Bitcoin standard era which is August

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10th, 2020. And it hasn't really been

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that close. Like these are video game

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numbers. 3,90%

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appreciation in our stock. And you know,

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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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Just feels so good." And by the way, the

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performance is even more extraordinary

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when you compare us with the rest of the

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world. Anyone here heard of a company

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called Nvidia?

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They're awesome. They're in the middle

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of the AI transformation which we'll

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talk about. We outperformed them by more

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than 3x in the last five years. Three

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times.

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And we're the most interesting company.

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This is the part that people don't

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always think about with us. We have

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transformed the capital markets. We've

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transformed digital markets. Right? We

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are with our trading volume as a

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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 500.

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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 like

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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 five 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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show you why this performance is extreme

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Extraordinary performance is important.

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All right, a lot of these folks here on

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this chart are our partners. Amazon,

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Google, Microsoft are hyperscalers,

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right? The next one, Apple is a big

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partner of ours and we started

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partnering with Apple when they released

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iOS and the iPhone and the iPad. We were

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the first ever enterprise application

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released on the iPad. But for those four

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companies, we have the largest balance

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sheet

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in the technology world. We have $50

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billion

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of extremely liquid

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accreative appreciating Bitcoin on our

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balance sheet. And what does that do for

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us as a software company? It's a war

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chest. Allows us to invest, allows us to

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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 times.

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Think of anything you've done more. A

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thousand times in five years, thousand

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times in 10 years. And what this really

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represents

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and what we're talking about today is

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the digital transformation

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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 markets.

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We digitally transformed investor

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relations,

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right? Like a lot of you here are

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investors. Last week on Thursday, we had

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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.

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We've increased the interest in the

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company 5,000x

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even more than we've increased the

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balance sheet and even more than we've

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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.

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Thank you to the True North folks for

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putting on a great event yesterday.

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You represent the digital transformation

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of investor relations.

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Gone are the days where you get

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information trickled out to you once a

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month. Here

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are the days when you get data delivered

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to you about our company and our KPI and

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our metrics every 15 seconds. That's how

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companies should be interacting with

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your shareholders. That's why we created

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this website. That's why we created our

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digital applications and our mobile

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application. And by the way, we wouldn't

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have been able to build these beautiful

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interfaces if it wasn't for our team of

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amazing software engineers

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that build our software that build our

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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 corporations

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and with competitors,

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right? Like if if I was to tell you,

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hey, I found an unlock to increase your

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stock price a thousand 3,000 times in

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five years, and I told you, by the way,

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I'm going to tell everybody how we did

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it. create an open-source playbook and

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set of 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 just keep that all

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to yourself so you can keep doing this

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thing and you be the only one." No.

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Because we believe in transparency of

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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 fun,

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this is auto and this is Maxi. People

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have asked me directly. There's a whole

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bunch of stuff on X. What the heck is

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Maxi? Maxi is not a skunk.

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Maxi is not a raccoon. I can see where

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you're going with that. Maxi is not a

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bear representing the bear market. Those

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who know Bitcoin, Maxi is a honeybadger.

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Maxi is a honeybadger. And if you don't

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know what a honeybadger is, I will

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excuse that. A honeybger is the most

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fierce

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competitive fighting force in the animal

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kingdom. And if you're like, "Sure,

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whatever. Isn't that a lion?" Go YouTube

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a video.

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Honey badger versus lion. Some of you

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have seen it and you will understand why

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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 tonight.

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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?

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I hope you all get a chance to meet some

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of our employees. We have some that have

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been here 25 years. We have some who've

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been with us 10 years, 15, 10, whatever

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the number is. They're awesome.

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I can go out there and hire anybody I

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want in the universe to come work for

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the best performing company in the

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universe. And not only that, when we get

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them, they stay. Last year, we tracked

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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 here.

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It also allows us to focus on bold

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innovation.

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And that's what we're going to talk

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about a lot today this morning is how

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are we innovating as a company, right?

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No longer do I have to focus on what

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happens tomorrow, the next week, the

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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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and civilization

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because we've decided to move our

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balance sheet to Bitcoin.

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We also attract some of the greatest

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partners in the world, right? Uh you

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probably saw the list of the folks who

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are sponsors and partners of strategy at

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Strategy World. It's bigger than it's

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ever been before. Everybody wants to be

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part of a winning team, right? I want to

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thank AWS Kenter Fitzgerald who's

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sponsoring our party tonight. Jaywood

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Capital Adviserss for being our titanium

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sponsors of World. Thank you to those

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guys.

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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 treasury,

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when the macroeconomic winds change,

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right? When there's instability and a

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

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tough quarter. are you okay with doing

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this deal next quarter? Right? When a

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employee says, "Hey, you know, uh I have

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changes that I have to go through in my

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life. Can you help?" Right? When

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generally speaking, there are multiple

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threats to the organization, we can

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withstand them because we can plan long

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term and we can invest in customer

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success. Right? We have about 60 folks

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here today that are part of a brand new

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organization that we stood up at the end

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of 2023 called customer success. When

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our competitors and other companies are

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removing their organizations responsible

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for customer success when they're

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charging you for customer success, we're

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investing in a team and giving that to

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you. And that's a long-term commitment.

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That's something we're very focused on

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is making sure the customers here do

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better and better.

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It really what is this all about?

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This is about freedom.

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Bitcoin is freedom.

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A digital transformation of your capital

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structure provides freedom to strategy.

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3,000% return in three years provides

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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 ever.

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36 years ago when we were founded, we

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were founded on a singular vision,

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intelligence everywhere.

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and the company has toiled through good

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times and bad times trying to make this

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vision a reality.

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I think today

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in 2025

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strategy with our digital transformation

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with our capital structure with 50

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billion dollar worth of Bitcoin

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with the advent of generative AI

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and the technology waves of change that

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that is creating. We are closer than

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ever to finally realizing this vision.

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And so who better to talk about the

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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

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of Bitcoin, of capital, of data, of

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information than our very own

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founder

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and executive chairman, Michael Sailor.

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Good to have you here.

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>> Happy to be here. Wore the wrong shoes,

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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.

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>> All right. So, Mike, um, this is a big

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moment for the company, but as the

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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. And we

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just start with it 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, uh, Apple proved that, uh, with

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designs like the iPhone where they just

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kept pushing the edge of the envelope.

0:17:44

Can I take away the keypad? Can I take

0:17:47

away one more button? And um I think if

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you 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

0:18:07

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

0:18:18

was a forward-looking

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idea. We were a strategic consulting

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company and and Micro signified that we

0:18:26

were going to incorporate technology

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into into decision support. But of

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course, 30 years later, technology is in

0:18:35

the fabric of everything. It was no

0:18:36

longer 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. Google, Amazon.

0:18:55

We thought about people we can remember.

0:18:57

Eventually we remember them by their

0:18:59

first name or their one name. Julius

0:19:03

Caesar became Caesar. Napoleon Bonapart

0:19:05

became Napoleon.

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Madonna

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Prince Sting.

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We have an international customer base.

0:19:15

We have an international

0:19:17

shareholder base. And and what we

0:19:21

realize is we had the opportunity uh to

0:19:25

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 the

0:19:37

anguish na language that are universally

0:19:40

positive

0:19:42

uh they uh they cannote insight

0:19:47

uh they're uh they're welcome 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 strategy. You can't be

0:20:14

successful as a superpower without a a

0:20:17

political strategy, a defense strategy.

0:20:21

Strategy has just got incredible power.

0:20:24

Uh after 30 years of seeing people

0:20:27

misspell the company name, they would

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spell it micro strategies.

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I I used to meet our customers and I

0:20:34

would meet customers that had been doing

0:20:36

business with us for 10 years and they

0:20:37

said, "Yeah, so you're from Micro

0:20:39

Strategies and and so I had real market

0:20:43

feedback and my and and my real world

0:20:46

experience combined with my theoretical

0:20:48

experience suggested to me that if you

0:20:51

own strategy.com

0:20:53

and and if there is no greater company

0:20:56

than you squatting on the strategy

0:20:58

handle, then less is more. Take away the

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micro strategy is a word that is it's

0:21:05

much easier to spell, easier to say,

0:21:09

easier to see, easier to remember,

0:21:14

easier to type. And uh I think you can

0:21:17

see it here at the at the conference

0:21:20

when you look around and you see the

0:21:21

strategy branding. One of the one of the

0:21:25

interesting nuances of of words is it if

0:21:29

you want to make the word four times

0:21:32

weaker, make it twice as long. When you

0:21:36

stretch it, the font gets smaller. And

0:21:40

so we we taken a word and we've made it

0:21:44

four times stronger and we've made it

0:21:47

international.

0:21:48

And uh you know how many billions of uh

0:21:51

school children will be taught how to

0:21:53

spell strategy? And the answer is all of

0:21:57

them. And uh how many if you asked a

0:22:01

billion people do you react favorably to

0:22:04

the word strategy? Every one of them. If

0:22:07

you went to the same sample set and said

0:22:10

how many of you like micro strategy and

0:22:13

think m how do you how many of you think

0:22:15

micro strategy is a good idea and the

0:22:19

answer is most pe one% of them will

0:22:21

recognize it and half of them will think

0:22:25

why would I want a micro strategy when I

0:22:27

could have a a bigger a macro strategy

0:22:31

or or or a global strategy or a digital

0:22:35

strategy. So we um we thought now is the

0:22:40

time because we do have this

0:22:42

international need to communicate to a

0:22:45

billion people and we have as we pointed

0:22:48

out on our earnings call a few days ago

0:22:50

we now have 55 million beneficiaries in

0:22:53

the world and so it's time for us to go

0:22:56

global. It's time for us to provide uh

0:22:59

the world with a consumer brand that

0:23:02

stands for empowerment, that stands for

0:23:05

success, that's uh that's egalitarian,

0:23:09

that's unifying,

0:23:11

uh and uh that's powerful.

0:23:15

Thank you. Um you know we went through

0:23:19

this exercise uh last year of coming up

0:23:22

with the core values of the company and

0:23:26

one of the values uh that we are 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

0:23:52

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.

0:24:14

tell the audience and folks in general,

0:24:17

you know, you founded this company,

0:24:19

you've taken it through many ups and

0:24:20

downs. This is the biggest by far. How

0:24:23

why is it important to be bold as you go

0:24:25

through a digital transformation of your

0:24:28

organization?

0:24:29

Um, consensus thinking

0:24:33

won't result in success in a world of

0:24:38

400 million competitive companies. Um,

0:24:43

once if you walk down the street and you

0:24:46

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 the

0:25:10

computer. The these these are all great

0:25:14

strategies when everybody else disagrees

0:25:17

with you. when you're the first. But um

0:25:21

at some point if you find yourself stuck

0:25:24

in a competitive uh a competitive

0:25:27

dilemma when uh when you can't break

0:25:30

free um then you have to do something

0:25:32

that's 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

0:26:23

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 hm

0:27:03

the dollar.

0:27:05

They might say the cross,

0:27:08

right? They might say, you know, they

0:27:10

may they might say the Islamic crescent

0:27:19

and that be we I don't know where we sit

0:27:19

in the top 10, but I'm quite sure that

0:27:23

we catapulted oursself into having a

0:27:26

corporate logo that is one of the 10

0:27:28

most recognizable symbols on earth. And

0:27:32

uh with 8 billion people competing for

0:27:34

recognition, that's no mean feat. Um,

0:27:39

our decision with Bitcoin was was driven

0:27:43

out of experience. We had we had 30

0:27:45

years of business experience. It was it

0:27:47

was driven out of uh uh realization,

0:27:52

right? We embrace reality and and after

0:27:55

you tried, you know, there's this

0:27:57

phrase, this joke about, you know,

0:27:59

Winston Churchill said it about

0:28:00

Americans. He said, "Americans, they'll

0:28:02

do the right thing after they've tried

0:28:04

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

0:28:14

conventional,

0:28:16

then you either you either have the

0:28:20

courage to take a risk or or you know

0:28:24

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

0:28:39

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

0:29:18

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

0:29:44

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

0:30:24

and Gen AI specifically to come up with

0:30:27

our strategy. And uh I sometimes tell

0:30:30

people that you're one of the biggest

0:30:32

power users of Gen AI and that our

0:30:36

digital transformation, our capital

0:30:37

transformation was AIdriven and people

0:30:40

are a little surprised to hear that.

0:30:42

Tell share share share with the group

0:30:44

exactly the story of of how you used AI

0:30:48

and how the companies used it to

0:30:49

transform our capital structure.

0:30:53

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 they started

0:31:08

getting better and and um I was uh I was

0:31:13

drawn into the world because I wanted to

0:31:16

be able to communicate messages. So,

0:31:19

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.

0:31:31

>> No, no, no, no, no.

0:31:34

>> But humble brag.

0:31:37

No, no. Uh actually the more important

0:31:40

point is if you wanted to make a point

0:31:42

it was a lot easier to put myself on

0:31:44

Mount Everest with a computerenerated

0:31:47

image than do doing it in the real

0:31:48

world. And so we started to to generate

0:31:53

content much more rapidly. Then uh then

0:31:56

I realized I could uh I could use AI as

0:31:59

an editor and it became my editor. And

0:32:02

you know, you want to you want to make a

0:32:03

sophisticated point, but you're in a

0:32:05

hurry and you have people say, "Do you

0:32:07

run your own X account?" Yeah, I run my

0:32:10

own X account. I create my own my own

0:32:12

post. And it's like, well, aren't you

0:32:14

worried about misspelling or mistyping

0:32:16

or like can you, you know, is that the

0:32:18

right way to use the hyphen? And I

0:32:20

found, well, it'd be great if I had an

0:32:21

intelligent editor. And I started using

0:32:23

it as an editor. Then I realized, you

0:32:27

know, my job is to is to have an opinion

0:32:30

on does this bill influence Bitcoin and

0:32:33

how? So when when uh they drop a 200page

0:32:38

bill, I realized if I could put that

0:32:40

into AI, summarize it, query it, and

0:32:43

compare it, I could think a hundred

0:32:45

times faster, maybe a thousand times

0:32:47

faster. And I began using AI

0:32:52

to uh to accelerate my ability to think.

0:32:56

Now, um that's pretty important if

0:32:59

there's a hundred bills and you you know

0:33:01

and and uh someone wants to know what

0:33:03

about this, what about that, what do you

0:33:05

think about that document? And uh you

0:33:08

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

0:33:12

40 people in the marketing department or

0:33:15

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 sometimes

0:33:25

two minutes. If you want to be relevant,

0:33:28

sometimes something gets if Elon Musk

0:33:30

posts something, you have 60 seconds.

0:33:33

The world requires that you be smarter,

0:33:36

faster, stronger.

0:33:39

So I started using it in that way. And

0:33:41

then uh and then not a long time ago

0:33:44

came along deep research and that was a

0:33:46

big aha moment because first I used an

0:33:49

order of magnitude more computing power

0:33:51

and then I used two orders of magnitude

0:33:53

more computing power and then I started

0:33:55

asking questions via deep research.

0:33:58

Well, how would you design this security

0:34:02

or or is is this possible? I have a a

0:34:05

question which would require five

0:34:07

lawyers and three financeers to answer

0:34:09

and it would take them two weeks to

0:34:10

answer and and I would put this chat in

0:34:14

deep research mode and I would grind it

0:34:16

and it would grind through 50 sources

0:34:18

and work for 15 minutes and come back

0:34:20

and it doesn't necessarily give me the

0:34:23

answer that I can immediately act on but

0:34:26

it gives me an uh somewhere between 80

0:34:28

and 95% of what I need and then I take

0:34:32

that to the finance department. and I

0:34:34

take that to the legal department. So,

0:34:36

so a lot of our innovative uh capital

0:34:39

markets activity, things like strife,

0:34:42

things like strike, we had to fight

0:34:45

through all sorts of complicated legal

0:34:47

issues, complicated financial issues.

0:34:50

You know, we did a convertible preferred

0:34:53

stock. It had never been done before. We

0:34:56

uh we listed on NASDAQ. It never been

0:34:58

done before. We attached the shelf

0:35:00

registration to it. had never been done

0:35:03

before. We made it a perpetual dividend

0:35:06

good for a thousand years that had never

0:35:08

been done before. We um we created a

0:35:11

perpetual call option. It had never been

0:35:14

done before. We put a shelf registration

0:35:16

on it. Never been done before. Now when

0:35:19

you go to when you go to uh 25

0:35:22

professionals with 30 years experience

0:35:23

say I want to do 20 things that have

0:35:25

never been done before and I want to do

0:35:28

them in a hurry. I need an answer in the

0:35:30

next 48 hours, right? That that creates

0:35:33

a very stressful situation. And what I

0:35:36

found with AI is the AI doesn't have a

0:35:39

lot of ego. I can ask it a question. I

0:35:42

can tell it that's not right. I can tell

0:35:44

it that's stupid. I can disagree. I can

0:35:46

work through my issues. And then after

0:35:49

I've gone through 20 iterations which

0:35:51

would have ground human beings into a

0:35:53

pulp,

0:36:00

you know, I can then take the 95% answer

0:36:00

to the finance team and the legal team

0:36:02

and the bankers and the market and say I

0:36:04

think this is this is plausible. And I

0:36:08

don't just share the result. I share the

0:36:10

link. I say go into the chat. You know,

0:36:13

I've uploaded 27 documents. I've

0:36:16

actually had to grind through case law

0:36:19

of every public company that's ever done

0:36:21

this before. I've analyzed the finance.

0:36:23

I think it's more likely than not this

0:36:26

will work. And at that point, when

0:36:28

you've taken the process to 95%,

0:36:32

you can then get to a result and build

0:36:34

consensus. And half of half of AI is

0:36:37

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

0:36:48

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

0:36:55

forward. And I can say, you know, with a

0:36:58

high degree of confidence, right? Uh, a

0:37:01

lot of the things we've done in the

0:37:02

capital markets, we just couldn't have

0:37:04

done 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 research,

0:37:27

which is where, you know, I you know, by

0:37:30

the way, I went from the $20 a month,

0:37:32

you get a a few of these things to the

0:37:34

$200 a month subscription where you get

0:37:37

unlimited to the we're cutting you off

0:37:39

because even unlimited, we think you're

0:37:41

you're burning our silicon. Yeah. I I I

0:37:45

I think we're going to go from deep

0:37:48

research to agents where I just say,

0:37:51

"Hey, you work for me. Scan everything

0:37:54

in the, you know, in the Twitter sphere

0:37:57

uh today about knowing what I think and

0:38:00

tell me what I should say and I'll tell

0:38:02

you what I'm going to do it and then

0:38:04

scan the capital markets." I tend to ask

0:38:07

questions like, "Look at every single

0:38:08

publicly traded company and give me the

0:38:11

open interest divided by their market

0:38:13

cap and the liquidity and the trend of

0:38:15

the liquidity and then tell me where we

0:38:17

stand." Click.

0:38:19

Okay.

0:38:21

And the next step will be, well, why

0:38:23

don't you just do that every day? And

0:38:25

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

0:38:34

exponentially more uh electricity and

0:38:37

digital power. Um because that's the way

0:38:41

you break through to the new idea and

0:38:44

the new market. And um you just you just

0:38:48

can't go the 20th century way. You can't

0:38:51

even you can't even do things the way we

0:38:54

did it three four years ago. It's and in

0:38:57

the words of Magnus Carlson,

0:39:00

it's too weak. It's too slow. You have

0:39:04

to be faster and stronger and smarter.

0:39:09

>> 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 chats.

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

0:39:30

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 like

0:39:36

it's made you a nicer, more cheerful,

0:39:38

constructive person in general. Uh and

0:39:41

so I think there are other um

0:39:44

civilization level benefits of AI. It's

0:39:47

going to cause people to be nicer to

0:39:49

each other.

0:39:50

What are what are some of the other big

0:39:53

things you think AI will do to the

0:39:56

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 where

0:40:18

digital land or digital property,

0:40:22

digital labor, digital capital.

0:40:25

And and it's, you know, it's it's pretty

0:40:27

clear that the agents in cyberspace are

0:40:30

going to work a billion times harder or

0:40:32

a billion times faster for us all. It's

0:40:36

pretty clear that those those bots will

0:40:38

be put into robots and the cars are

0:40:40

going to drive themselves and sometime

0:40:44

in in our lifetime we'll have talking

0:40:47

walking useful robots and so so the

0:40:51

robots are coming to the real world, the

0:40:53

agents are coming to the cyber world.

0:40:56

You're going to see an explosion of

0:40:57

digital labor. Um, I think we'll need

0:41:02

less physical property and we'll need

0:41:04

less physical labor. There'll be a

0:41:06

dramatic decrease in the physical labor

0:41:09

component in the economy. And of course,

0:41:11

if the robots and the agents are doing a

0:41:14

lot of work, they don't need as much

0:41:15

real estate. They don't need as much

0:41:17

physical property. What they do need

0:41:20

digital property, intellectual property,

0:41:23

right? So, so the in access to

0:41:26

proprietary data. Turns out that I'll

0:41:29

tell ask the AI a question, you know,

0:41:31

give me the the 30-day call rate, you

0:41:35

know, selling call options at the money,

0:41:38

and it's really good at calculating it,

0:41:40

but 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

0:41:49

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

0:41:57

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 real time 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 is you know which is

0:43:04

Bitcoin is very important. When you when

0:43:08

you come away from these things, you

0:43:09

think if I plug digital intelligence and

0:43:14

digital labor into digital property,

0:43:19

by the way, property is heterogeneous.

0:43:22

There's there's 10,000 proprietary

0:43:24

databases just like real world property

0:43:26

is heterogeneous. Tokyo real estate's

0:43:28

different than New York. So digital

0:43:30

property is a whole set of thousands of

0:43:33

of heterogeneous but very valuable

0:43:36

things in the world. The digital labor

0:43:39

and the and the digital intelligence

0:43:42

less heterogeneous. You know there are

0:43:44

going to be some monster models and

0:43:46

everybody's going to use them. Digital

0:43:48

capital Bitcoin

0:43:51

homogeneous. You know a Bitcoin is a

0:43:54

Bitcoin. And what you're going to see is

0:43:55

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

0:44:06

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. And

0:44:16

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

0:44:22

capital? you're going to 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

fungeible 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.

0:45:07

>> Awesome.

0:45:09

So other

0:45:10

last question. Um

0:45:14

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, arguably

0:45:24

because of a digital transformation of

0:45:26

our capital. Um, other than buy Bitcoin,

0:45:31

what advice do you have for folks here

0:45:33

who want to transform themselves and

0:45:35

their companies?

0:45:37

I I think,

0:45:40

you know, it's it's pretty clear

0:45:44

you want to harness digital intelligence

0:45:47

and harness digital capital

0:45:51

to drive your cost down, drive your

0:45:53

productivity up, improve your products,

0:45:56

improve your services. You want to look

0:45:59

for that revolutionary new product. You

0:46:02

want to look for that revolutionary new

0:46:05

service. You want to improve your

0:46:07

securities. You want to revolutionize

0:46:09

your capital structure.

0:46:12

What I say often times is, yeah, you

0:46:14

want to 10x your money, you buy Bitcoin.

0:46:16

You want a 100x your money, you buy

0:46:18

Bitcoin with somebody else's money. You

0:46:21

want a thousandx your money, you buy

0:46:23

Bitcoin with someone else's money, and

0:46:25

then you lever the Bitcoin. And so my

0:46:28

advice is think about innovative ways to

0:46:33

build the most powerful capital

0:46:35

structure in the world. And that'll be

0:46:37

the subject of my talk later today

0:46:41

while you're thinking about ways to

0:46:44

actually build the most compelling

0:46:46

transformational products or services in

0:46:49

this world. And if you can't do that, at

0:46:52

the very least, make sure that you

0:46:54

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

>> 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 chad himself,

0:47:45

Michael?

0:47:55

So, you're all wondering where this is

0:47:56

going, aren't you?

0:47:58

Let's talk about how do we digitally

0:48:01

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 done

0:48:12

what AI provides

0:48:15

to digitally transform your

0:48:17

organizations.

0:48:19

Okay, I want to tell you three stories

0:48:21

first. Um, I'll start with, and these

0:48:24

are stories about, uh, I'll call it

0:48:26

three different revolutions. I'll start

0:48:29

with the consumer revolution. Uh, prior

0:48:33

to World War I, uh, if you wanted to

0:48:35

buy, uh, an apple, you might go to the

0:48:39

grocery store down the street. You

0:48:42

wanted to buy a cake, you might go to

0:48:44

the baker around the corner, you know,

0:48:47

place your cake order, take you a couple

0:48:49

days. Uh, and if you wanted to buy a

0:48:52

shirt, nice shirt, you might go talk to

0:48:54

your tailor, you know, a block down the

0:48:57

street and say, "Hey, make me a shirt."

0:48:59

And you get it in about a week, maybe

0:49:01

two weeks, depending on where you are in

0:49:02

your shirt pecking order with your

0:49:04

tailor. Uh, and everybody's happy.

0:49:08

That's pretty good 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, supermarkets,

0:49:26

hypermarkets,

0:49:28

and automobiles,

0:49:31

suburban living, and you could go hop in

0:49:33

your car and you could go to one store

0:49:36

that had four or five different apples

0:49:38

to choose from. You could have an entire

0:49:41

bakery section and you could get cakes

0:49:43

without having to order them. You'd have

0:49:45

a clothing section where you could have

0:49:48

five shirts, 10 pants, cool sneakers,

0:49:52

and selection broadened. And it was

0:49:55

great. And what made that happen? What

0:49:59

made that happen was not because the

0:50:02

farmers and the bakers and the tailor

0:50:04

got better. What made that happen was

0:50:05

the rise of a supply chain, an

0:50:07

industrial supply chain, right? Uh so

0:50:11

then from the farmer would go to a

0:50:13

wholesaler. It would go to a warehouse

0:50:16

to a delivery company who would bring

0:50:19

the goods to the supermarket and

0:50:22

everybody was happy. Great consumer

0:50:25

choice. So much more was available.

0:50:28

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 got

0:50:40

into the 1950s, they went from 90 cents

0:50:44

on the dollar for that apple went to the

0:50:46

farmer to 50 cents on the dollar on that

0:50:49

apple going to the farmer. But you were

0:50:51

happy. You're the consumer. You got more

0:50:52

apples. You're pretty happy. You got to

0:50:54

go one place. And then what happened

0:50:57

after that was the technology

0:50:59

transformation of the consumer

0:51:01

revolution. the rise of ecommerce,

0:51:04

the ability to go to one place online,

0:51:08

order an apple, five apples, get them to

0:51:12

your place, shipped door to door in an

0:51:14

hour. You don't even have to leave your

0:51:15

house. Imagine if you wanted a cake, you

0:51:18

wanted a Hostess Twinkie, you could get

0:51:20

that thing, too, right to your doorstep

0:51:23

whenever you want. You pay a little bit

0:51:24

for delivery. You want a shirt, now you

0:51:27

have a million shirts to choose from. As

0:51:29

many as you could want. Beautiful.

0:51:31

Consumers are happy. Sure, maybe the

0:51:35

apple took a month to get from its

0:51:38

farmer to your destination

0:51:41

in the winter months. You know, it takes

0:51:43

even longer than that, right? Sure,

0:51:45

maybe that Hostess Twinkie has been

0:51:47

filled with preservatives, so it could

0:51:49

be sitting on the shelf for a year or

0:51:50

two years, and by the time you eat it,

0:51:52

it doesn't at all resemble the cake. And

0:51:55

sure, that shirt you got, maybe it was

0:51:57

shipped from another country, and you

0:51:59

can wear it for a year. very laundered a

0:52:01

couple times starts to fall apart. But

0:52:03

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

0:52:05

place, aren't we?

0:52:08

That's the consumer revolution.

0:52:10

Now, I'll tell the story about the

0:52:12

financial revolution. Many of you here

0:52:15

know this story really well, and I'm

0:52:17

going to pick at the words I use and

0:52:18

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,

0:52:38

with coins, and you were happy. Sure,

0:52:41

you had a purse or a wallet or, you

0:52:44

know, if you were buying something

0:52:46

bigger, you had a suitcase full of

0:52:47

bills. You're happy. Worked pretty well.

0:52:50

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 2 or

0:53:12

3%. So never did you think, you know,

0:53:15

that 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 happen.

0:53:23

What ended up happening after that as

0:53:24

you all know is as the US got off the

0:53:27

dollar standard or the US dollar got off

0:53:29

the gold standard the US became the

0:53:31

world reserve currency. The dollar

0:53:33

became the world reserve currency.

0:53:36

Then it went from 2% inflation to 7%

0:53:38

inflation over the course of last h

0:53:40

100red years. And as you sit here today

0:53:42

you do think about what's backing that

0:53:44

dollar and you do think about the fact

0:53:47

that things cost twice as much from one

0:53:50

year to the next. Even more interesting

0:53:53

and additionally as the consumer

0:53:56

revolution occurred came the rise of

0:53:58

credit. You didn't really want to have

0:54:01

to carry the coins and the dollar. You

0:54:03

want to show off and go tell the

0:54:05

bartender or the ger, hey, put on my

0:54:08

tab. That's fine. Put on my tab. And so

0:54:11

they had tabs with you. You had tabs

0:54:13

with hundreds of vendors. And way rose

0:54:16

the credit card industry. Diners club,

0:54:18

American Express, Visa, Mastercard. 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 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 a bank, right? Get put your

0:54:54

money in a bank. You don't even ever

0:54:55

have to worry about dollar bills and

0:54:57

coins or anything like that. You put

0:54:59

your money in the bank, they hold your

0:55:01

money. They pay off your credit card

0:55:02

every single month. They're happy. Sure,

0:55:05

the bank takes that money and gets 10%

0:55:07

on it. They give you back half a

0:55:09

percent, but you don't care about that.

0:55:11

You've got the frictionfree world of the

0:55:14

consumer revolution and the digital

0:55:16

revolution.

0:55:18

Someone else has your money. Someone

0:55:20

else takes care of your transactions.

0:55:22

You can be oblivious.

0:55:25

Of course, you know what really happens?

0:55:27

We're all living it. Inflation happens.

0:55:30

Somebody has your money. Somebody might

0:55:32

be able to seize your money. Worst case,

0:55:35

somebody takes 13% off your money and

0:55:37

you're oblivious and you're okay with

0:55:38

that. And of course, you all know where

0:55:41

this is going. Bitcoin solves that

0:55:43

problem. Bitcoin solves the problem of

0:55:46

inflation. And Bitcoin solves the

0:55:49

problem of how money flows across the

0:55:51

financial system, across the world

0:55:54

because it's fully decentralized.

0:55:57

That's my second story. Many of you know

0:55:59

that story.

0:56:02

Third story is the data revolution.

0:56:06

I love these pictures. They're AI

0:56:08

generated, but you get the idea. So

0:56:09

don't pick on is that really a real

0:56:11

computer or not because it's not. Um, I

0:56:14

lived in this time. This is the 1980s,

0:56:16

right? You remember every home had a

0:56:19

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 abounds.

0:56:30

Abundance.

0:56:33

All your financial information went into

0:56:34

an ERP system. Your supply chain

0:56:37

information went into that ERP system.

0:56:38

Your CRM system created customer data,

0:56:41

marketing data. Your HR system had

0:56:44

employee data, payroll data, information

0:56:47

abound as an asset of your organizations

0:56:52

and you needed to be able to access that

0:56:54

data.

0:56:55

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

0:57:21

You said, "Hey, this makes sense though,

0:57:23

right? Data is my most important asset.

0:57:25

I'm going to go put it into someone

0:57:27

else's system, into their server, and

0:57:29

I'm going to pay them 25% along with a

0:57:32

partner to access my data. And that is

0:57:34

the world we live in today. And everyone

0:57:37

says that's normal, right? I pay the

0:57:41

middleware vendor, I pay the data

0:57:44

warehouse vendor, I pay strategy, the BI

0:57:47

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 business.

0:58:04

I think you get where this is going a

0:58:06

little bit.

0:58:08

The consumer revolution, the capital

0:58:10

revolution,

0:58:12

and now the data revolution have a cost.

0:58:17

And that cost goes from the artisan to

0:58:19

the industry to the internet in the

0:58:22

consumer revolution.

0:58:24

I'm not sure the internet is the final

0:58:26

answer to that revolution. I don't

0:58:29

really need 8,000 shirts to choose from

0:58:31

when I'm online.

0:58:33

I just want the shirt for me.

0:58:36

I'm pretty sure Bitcoin is the answer of

0:58:38

the capital revolution.

0:58:41

So, what is the answer to the

0:58:44

intelligence revolution?

0:58:47

Now, you know, they say strategy is the

0:58:49

answer.

0:58:50

So, what are the keys to this

0:58:52

revolution? First,

0:58:55

I believe number one, we need to get

0:58:57

back to valuing the maker.

0:59:00

A lot of you in this room are makers.

0:59:03

You you tinker, you create things, you

0:59:05

invent things, right? Don't you want to

0:59:09

own that? I mean, if you're the farmer,

0:59:12

like, you know, actually producing the

0:59:15

apple, shouldn't you get 90% and not 5%

0:59:18

or 10%. Right? If you're the laborer and

0:59:22

you get paid 15 bucks an hour, don't you

0:59:26

want that 15 bucks? Don't you want to

0:59:28

not get it deflated 7% a year? Don't you

0:59:32

not want to have to pay a financial

0:59:34

institution

0:59:36

5% or 10% or a credit card company? Keep

0:59:40

your money,

0:59:42

right? And if you're the company that

0:59:45

produces your data,

0:59:48

you're the maker of that data, don't you

0:59:51

want to have control over that and own

0:59:52

that? And of course, the the opposite of

0:59:55

that is minimize the middleman,

0:59:58

right? Like look, a lot of you work for

1:00:01

the middleman. A lot of you are

1:00:02

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 institutions

1:00:14

and all of the data companies in

1:00:17

between.

1:00:19

Self-custody your assets.

1:00:22

Right? This is a very simple thing. What

1:00:25

you own should be yours. You've got

1:00:27

money. You've got Bitcoin. Self- custody

1:00:29

it. It doesn't really mean literally

1:00:32

self- custody, which I'll get into a big

1:00:35

debate on with our Bitcoin. You can pay

1:00:37

a custodian a small amount, but you got

1:00:39

to own that. You got to know that's your

1:00:40

Bitcoin, not theirs, right? Your data.

1:00:44

You could pay a cloud hyperscaler

1:00:46

because they'll more efficiently house

1:00:47

your data or transact your data. Make

1:00:49

sure it's your data. Don't give them the

1:00:52

rights to then go train an AI with your

1:00:54

data. And if you want them to do so, as

1:00:57

Mike said, sell your data.

1:01:00

In fact, that's a great way to make

1:01:01

money. Own your data. Maximize the

1:01:04

speed.

1:01:06

You know, just because a Twinkie shows

1:01:08

up at your front door doesn't mean it

1:01:09

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

1:01:12

want when that thing gets out of the

1:01:14

oven to get into your mouth as fast as

1:01:17

possible,

1:01:19

right? Same with your data. You guys

1:01:23

deal with this, right? like, "Oh, I'm

1:01:25

going through this 2-year data warehouse

1:01:27

implementation project to put my data

1:01:29

warehouse in the cloud. I'm going to pay

1:01:31

somebody $20 million so I can give

1:01:33

immediate access to my users

1:01:37

to their data." There a little irony in

1:01:40

that. How many of you here are BI people

1:01:43

who are like, "Yeah, I'm so ready to do

1:01:44

this, but I'm waiting for my digital

1:01:46

transformation of my data and I'm

1:01:48

spending two, three years on it."

1:01:51

And it's last one is personalize the

1:01:52

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 example. It uses AI to surface

1:02:06

to me exactly in an uncanny way. The

1:02:10

video I didn't know what I wanted to

1:02:12

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

1:02:14

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

1:02:16

even know I cared about honey badgers

1:02:18

and lions. and it just shows up right

1:02:21

then and there and then you see 18 other

1:02:23

Honeybadger videos.

1:02:27

Why shouldn't it work that way with your

1:02:28

data? Why shouldn't your end user get to

1:02:32

see exactly what they want to see before

1:02:36

they know they want to see it where they

1:02:38

want to see it instead of in most of our

1:02:41

organizations you've got a thousand

1:02:42

employees and a million reports

1:02:46

and they're just trying to figure out

1:02:47

what to look at and so ultimately what

1:02:48

do they do? they do nothing. So, how do

1:02:51

we solve this problem?

1:02:54

Of course, the answer is Gen AI.

1:02:56

First of all, Gen AI makes this problem

1:02:58

harder.

1:03:00

If you want to build a Gen AI agent that

1:03:03

makes decisions based on reliable,

1:03:06

secure, scalable data,

1:03:09

right, that is just in time, that's real

1:03:11

time. That's hard. That's what all of

1:03:14

your CEOs and boards and CFOs are asking

1:03:17

you to do. I want you to automate the

1:03:20

company using Gen AI and I don't want

1:03:23

you to tell me it's going to take two

1:03:25

years because my data is not in good

1:03:27

shape. I want you to get me this

1:03:29

immediately done tomorrow.

1:03:33

You're like, "Oh how am I going to

1:03:34

do that?"

1:03:36

Not only does it do that, Genai creates

1:03:39

more data in your organization than

1:03:40

you've ever had before. So you happily

1:03:43

go to your hyperscalers and to your

1:03:45

cloud providers and you say them my data

1:03:47

is going to explode 10x.

1:03:50

What's going to happen? They're like,

1:03:51

"Well, you'll just have to pay me 10x

1:03:52

more." More data, more information, not

1:03:56

getting to the place where it wants to

1:03:58

go. The good thing is not often in life

1:04:02

does something create the problem

1:04:05

and something provides the solution.

1:04:09

Genai does provide the solution.

1:04:12

What else can you have that processes

1:04:15

faster than you ever had before in

1:04:17

memory and gets you the information

1:04:20

personalized exactly how you want it,

1:04:23

right? Genai provides the solution to

1:04:26

the consumer revolution, to the

1:04:28

financial revolution, and now the data

1:04:31

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 middleman,

1:05:13

and allows you to fully personalize a

1:05:16

suggestion to every single problem

1:05:18

you've ever had in your enterprise and

1:05:20

your organization.

1:05:22

And so I want to introduce

1:05:24

the first ever within strategy genai

1:05:28

created product to solve a gen problem

1:05:31

with a genai solution. And that product

1:05:34

is called Mosaic.

1:05:36

And this is going to change the data

1:05:39

world. Not just analytics, not just BI,

1:05:42

not just data warehousing, all of the

1:05:44

data world. You're going to hear Sir Rob

1:05:47

talk more about this tomorrow, so I'm

1:05:49

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 employees

1:05:59

allow us to create a product that is

1:06:01

going to change the data world

1:06:04

and it's going to solve these issues

1:06:07

that are the key to the data revolution.

1:06:11

You as the maker of your data get to

1:06:14

keep your data. You as the maker of your

1:06:17

data don't need to go through a

1:06:18

middleman to

1:06:21

move your data, to store your data, to

1:06:24

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 place.

1:07:02

And that's what we're going to do. We

1:07:04

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 Dagio, but I would guess

1:07:22

90% of you, maybe more, will partake in

1:07:26

Diagio if you didn't last night tonight.

1:07:29

Diagio is the brand behind

1:07:33

uh Johnny Walker. Uh, Bullet Bourbon.

1:07:36

Anyone here tequila person? Don Julio?

1:07:39

I'm a tequila person. Captains Morgan,

1:07:41

Guennness, and they're a customer of

1:07:43

Strategy, a 20 billion dollar global

1:07:47

company. And what they did last year

1:07:49

with us is they moved Strategy to the

1:07:53

cloud.

1:07:55

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 end user, the consumer was happier.

1:08:14

Their NPS scores of their users uh of

1:08:16

data in the organization went up 3x.

1:08:19

They also decommissioned outdated

1:08:21

systems. They decided to value the

1:08:24

maker,

1:08:26

minimize the middleman, personalize the

1:08:29

enduser experience using strategy. So

1:08:32

for that reason, I want to congratulate

1:08:34

DAI. We've got some folks here uh in the

1:08:37

room from Dio uh for winning our

1:08:40

customer experience award for 2025

1:08:54

and I encourage you all to use Dagio

1:08:54

products tonight.

1:09:03

Next company I want to talk 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 immediate.

1:09:14

Cisco is a $50 billion worldwide

1:09:16

company. They uh were one of the most

1:09:19

important companies in the 90s in the

1:09:21

internet area era and they still are

1:09:23

today and they're also one of the top

1:09:25

three companies to work for uh in the

1:09:27

world corner of Fortune.

1:09:29

10 years ago, they had a data problem in

1:09:32

their finance organization. It took five

1:09:34

days 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 B day five

1:09:58

business day five to business day one an

1:10:01

80% 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.

1:10:10

10 years later they're going through

1:10:12

another major transformation and that's

1:10:13

the AI transformation.

1:10:16

They're providing users that information

1:10:18

via reports, via queries. Now they're

1:10:20

going to provide their folks that

1:10:22

information via generative AI. They're

1:10:25

working with us on that and it's

1:10:26

incredible to see the results. People in

1:10:28

finance can just ask a data question and

1:10:31

get the data answer immediately and know

1:10:34

that the data is reliable. It's coming

1:10:36

from a governed source, a scalable

1:10:38

source. And they've also integrated that

1:10:41

experience into their chat, WebEx, of

1:10:43

course. So you can go into WebEx and you

1:10:46

can not even talk to a person, just ask

1:10:49

a question, get access to the data. They

1:10:52

have maximized speed to data.

1:10:56

And for that reason, I want to

1:10:57

congratulate Cisco for winning

1:10:59

strategies 2025 innovation award.

1:11:12

Next company is one of my favorite. I'm

1:11:12

not allowed to have favorite. Actually,

1:11:13

I'm allowed to have favorites. Emirates

1:11:15

uh if anyone has ever had the pleasure

1:11:18

of flying uh Emirates, whether it be a

1:11:21

coach or business class, it's a luxury

1:11:24

elevated experience. Some of you

1:11:27

probably flew here on an Emirates

1:11:29

airline. It's great. What a great

1:11:32

experience. What many of you don't know

1:11:35

is Emirates has a subsidiary called

1:11:37

Dinatada. And some of you know this

1:11:40

because you fly a lot and you person

1:11:42

that checks you in at the airport might

1:11:44

actually have a DNA uh badge or a dinata

1:11:47

lanyard.

1:11:50

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 337

1:12:09

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 organization,

1:12:25

maintenance,

1:12:27

in-flight, personalized experiences.

1:12:30

Their pilots do a pre-flight check on a

1:12:34

mobile application that's powered by

1:12:37

Strategy. So, you can feel good, by the

1:12:39

way, if you love the company that your

1:12:40

pilots are using strategy to make sure

1:12:42

that their flight is safe. Dynamic

1:12:45

pricing using strategy.

1:12:48

And what they're going to do is they're

1:12:50

going to implement Mosaic because they

1:12:53

believe to better personalize the

1:12:55

experience, to better self-custody their

1:12:57

data,

1:12:59

and to better move the data without a

1:13:02

middleman across the organization to get

1:13:05

even better. And so for that, I want to

1:13:08

congratulate Emirates for winning 2025's

1:13:11

strategy global business impact award.

1:13:21

All right. Next, I want to thank our

1:13:25

sponsors. Mentioned these folks earlier

1:13:27

today. Uh some great partners. Um Mike

1:13:30

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

flipped 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 to the titanium

1:13:50

sponsors AWS Caner and Jwood Capital

1:13:53

Advisors.

1:13:55

Thank you to our platinum sponsors

1:13:57

active cyber barklays Benchmark and

1:14:01

PowerBI Google Cloud Morgan Stanley TD

1:14:04

XPTO and 66 degrees. Thank them all.

1:14:19

And I encourage you uh if you have time

1:14:19

and you're a software company or sorry

1:14:21

you're you you're interested in software

1:14:23

to go visit some of their booths. Uh if

1:14:26

you're interested in capital

1:14:27

transformation your company go talk to

1:14:29

some of these folks. Uh they've been

1:14:31

extraordinary partners to us along the

1:14:34

ride.

1:14:36

Also our gold silver logo sponsors. I

1:14:38

want to thank them all. They've made

1:14:39

this event successful, but they've also

1:14:41

made us strategy successful. And uh if

1:14:44

you're a shareholder or if you're a user

1:14:46

of strategy, these are the folks behind

1:14:48

us that have helped us along the way.

1:15:00

So I want to end with a few 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

1:15:15

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

1:15:21

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.

1:15:38

You have to say yes when 95 out of a

1:15:43

100red people say no. You have to zigg

1:15:47

when everyone else zags. And I would

1:15:50

argue in the data world, everyone is

1:15:53

zigging now. Everyone wants to go to the

1:15:56

simple I will buy everything from a

1:15:58

hyperscaler. I will do the same thing as

1:16:01

all of my competition is doing with my

1:16:04

data. I'm putting it into a hyperscaler

1:16:07

cloud. I'm using the hyperscaler data

1:16:10

warehouse solution. I'm using the

1:16:13

hyperscaler BI solution. I am doing what

1:16:17

all of the AI bots will do.

1:16:22

That's not going to work. I think we all

1:16:25

agree data is your most important asset.

1:16:27

Be bold. When we tell you do something

1:16:31

no one else is doing, you should do it.

1:16:34

That's why you're here in this room.

1:16:35

You're here to get some new ideas. You

1:16:37

go to these conferences, you pick up two

1:16:38

or three nuggets. When everyone tells

1:16:41

you to do something, that's when you

1:16:43

know it's not the right thing to do.

1:16:51

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? Here 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 you.

1:17:27

Own your data. Self-custody of your

1:17:29

data. Take speed over everything else.

1:17:32

The next time someone tells you it's

1:17:33

going to take two years to do something,

1:17:36

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 a

1:17:45

year and a half to put in a system to

1:17:48

give you access to your data. Tell them

1:17:50

no, it's my data. I'm not going to do

1:17:52

that. and personalized experience for

1:17:55

the end user.

1:17:57

Free yourself.

1:18:00

Free yourself from the middleman. Free

1:18:04

yourself from paying the tax in the

1:18:06

toll.

1:18:08

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

1:18:10

it. We've freed oursel with Bitcoin.

1:18:13

Mosaic will help free you, too.

1:18:16

This is about freedom. It's a big word,

1:18:19

but that's what we're talking about.

1:18:21

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

1:18:23

strategy cares about. Freedom with your

1:18:26

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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