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Artificial Intelligence|Crypto

What Investors Need to Know About Strategy’s AI-Bitcoin Financing Model

Strategy founder Michael Saylor has highlighted how his company explored the potential of an AI solution to boost performance. According to Saylor, his firm used AI to solve a unique problem that eventually earned it $15 billion last year.

Bitget

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Aug 28, 2026 at 2:59 AM UTC · Updated 몇 초 전 · 3 분 소요

What Investors Need to Know About Strategy’s AI-Bitcoin Financing Model
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BTC+1.48%$79,938

Last Updated

몇 초 전

번역 중…

Strategy founder Michael Saylor has highlighted how his company explored the potential of an AI solution to boost performance. According to Saylor, his firm used AI to solve a unique problem that eventually earned it $15 billion last year.

Saylor noted that his company, Strategy, used OpenAI’s ChatGPT to design a hybrid preferred stock that bypassed standard corporate limitations. Saylor and his team deployed the AI solution as an interactive financial and legal sounding board to build the specific architecture of the new securities. He revealed that it was his firm’s engagement with the AI solution that introduced STRK—a Bitcoin-backed convertible preferred stock—and subsequent instruments, such as STRC.

In simple terms, STRK and STRC are preferred stock instruments that allow investors to participate through yield and indirect exposure to Strategy’s Bitcoin-heavy balance sheet. Strategy sells these securities to raise fresh capital, while avoiding the need to directly sell its BTC holdings. The proceeds can then be used for corporate purposes, including future Bitcoin purchases, giving the company another funding route beyond common stock sales or traditional debt.

Strategy’s preferred stocks introduced through its AI-Bitcoin engineering act as an institutional financial engine. The firm issues debt and yield-bearing stock via these products to traditional Wall Street investors, using the proceeds to buy Bitcoin. Meanwhile, Strategy relies on the premium value of its equity to manage the system.

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