Artificial intelligence is increasingly finding its way into industries that once relied almost entirely on human expertise. From coding and marketing to research and finance, AI tools are now being used to solve increasingly complex problems. Bitcoin billionaire Michael Saylor believes the technology can go much further.
Saylor has claimed that ChatGPT helped him and his company Strategy generate $15 billion last year through a series of Bitcoin-backed preferred stock products. Speaking on The Diary Of A CEO podcast, Saylor said AI helped him develop financial products that had not previously existed. The claim is striking because Saylor is not describing AI as simply a tool for automating routine office work. Instead, he believes the technology can help businesses create entirely new financial structures.
How Did ChatGPT Help Strategy?
Saylor’s comments were linked to Strategy’s preferred stock products, which form part of the company’s unusual approach to raising capital for Bitcoin purchases. Strategy, formerly known as MicroStrategy, transformed itself after adopting Bitcoin as its primary treasury asset in 2020. The company has since accumulated one of the world’s largest corporate Bitcoin holdings. Saylor’s own website currently lists Strategy’s holdings at more than 846,000 Bitcoin.
The company has financed its Bitcoin accumulation through a combination of common stock sales, debt and preferred securities. The preferred products include STRK, STRF and STRC, each designed with different characteristics for investors. Saylor’s claim is therefore better understood as a claim about AI-assisted financial engineering and capital formation rather than ChatGPT independently producing $15 billion in profits.
Strategy’s Bitcoin Machine Has Become Massive
Strategy’s transformation from a software company into a Bitcoin-focused treasury company has made Saylor one of the most recognisable corporate advocates of cryptocurrency. The company’s Bitcoin holdings have grown dramatically over the years. As of May 25, 2026, Strategy reported holding 843,738 Bitcoin, alongside billions of dollars of preferred stock and convertible debt.
The company’s strategy is built around accessing capital markets and using that capital to acquire Bitcoin. That approach has attracted both investors and critics. Supporters argue that the structure gives investors different ways to gain exposure to Strategy and Bitcoin. Critics have questioned whether the model can remain sustainable during prolonged periods of weakness in Bitcoin and Strategy’s share price.
What Are STRK, STRF And STRC?
Strategy has created several preferred stock products as part of its capital-raising strategy. STRK is a convertible preferred security with an 8% dividend, according to the information provided. It can be converted into Strategy’s common stock under its terms. STRF is another preferred security. Unlike STRK, it is non-convertible and was designed with a greater emphasis on stability for investors seeking income.
The company later introduced STRC, also known as “Stretch,” as another perpetual preferred security. Strategy’s official SEC filing states that STRC was designed with a stated amount of $100 per share, with mechanisms intended to keep its trading level near that amount. These products are important because they give Strategy additional ways to raise money without relying entirely on traditional debt or common stock issuance.
Saylor’s Bigger Idea About AI
For Saylor, the most interesting part of AI is not simply getting a machine to do something faster. His philosophy is that people should use AI to attempt things that have never been done before. That thinking appears to have influenced how he approached Strategy’s financial products. Rather than asking AI to perform a conventional task, Saylor says he looked for what he described as a “magic opportunity” where AI could contribute to creating something genuinely new.
This approach represents a broader shift in how business leaders are thinking about generative AI. Instead of treating ChatGPT as an advanced search engine or writing assistant, companies are increasingly experimenting with it as a brainstorming, modelling and problem-solving tool. However, using AI to develop complex financial products also comes with obvious risks. Human experts still need to test assumptions, verify calculations, assess regulations and understand how investors could respond to a product.
The $15 Billion Claim Needs Some Context
Saylor’s “$15 billion” claim has attracted significant attention, but the wording matters. Strategy’s official filings have separately reported a $15 billion aggregate notional amount of preferred stock outstanding as of May 25, 2026. That is not automatically the same thing as saying ChatGPT generated $15 billion in profit.
Saylor’s comments appear to refer to the financial capital and value created through the company’s Bitcoin-linked financing strategy. The AI component was his claim that ChatGPT helped shape the design of financial products that supported that strategy. That distinction is important when interpreting the headline.
Strategy Has Faced Heavy Market Volatility
Strategy’s aggressive Bitcoin strategy has not been without risks. The company’s shares have experienced major volatility as Bitcoin prices have moved. The preferred securities have also faced periods of market pressure.
In June 2026, reporting highlighted concerns around STRC after the security traded significantly below its intended $100 level. That development raised questions about the sustainability of Strategy’s financing model and the risks associated with its Bitcoin-heavy balance sheet.
Strategy has also taken steps to strengthen its liquidity position. Its capital structure has included substantial preferred stock and convertible debt, while the company has used capital-market transactions to manage its Bitcoin strategy. This is why Saylor’s AI claim needs to be viewed alongside the risks of the broader business model.
Why Saylor’s AI Experiment Matters
Whether one agrees with Saylor’s approach or not, his comments highlight an important possibility for generative AI. AI could increasingly become a tool for designing new products rather than simply improving existing workflows. In finance, that could mean helping teams explore new securities, analyse complex structures, test scenarios or identify relationships that humans may overlook.
But the technology does not eliminate the need for human judgment. Financial products involve regulatory requirements, market risks and real-world consequences. AI-generated ideas still need to be independently reviewed before they can safely move from an experiment to a product offered to investors. Saylor’s experience therefore offers both an opportunity and a warning. AI can potentially accelerate innovation, but the financial risks remain very real.
Not Everyone Is Convinced By The Strategy
Saylor’s approach has divided opinion. Supporters see Strategy’s Bitcoin-linked securities as sophisticated financial engineering. They argue that the company has developed new ways to attract capital while maintaining its long-term Bitcoin exposure. Critics are less convinced. They point to the company’s dependence on Bitcoin prices, capital markets and investor demand for its securities.
The debate became sharper as Strategy’s preferred products faced market pressure in 2026. Reports noted that the company was dealing with questions around its financing model as Bitcoin and related securities experienced volatility. That means the success of the strategy cannot be judged simply by the amount of capital raised.
Conclusion
Michael Saylor’s claim that ChatGPT helped Strategy generate $15 billion offers a fascinating look at how AI could influence the future of finance. His argument goes beyond using artificial intelligence to write emails, analyse documents or automate routine tasks. He believes AI can help businesses create financial products that did not previously exist. Strategy’s Bitcoin-backed preferred securities, including STRK, STRF and STRC, have become a major part of its capital structure. The company has also built one of the world’s largest corporate Bitcoin holdings.
At the same time, the “$15 billion” figure should not be interpreted simply as $15 billion of profit created by ChatGPT. It relates to Saylor’s description of the capital and financial value generated through Strategy’s financing approach. The bigger takeaway is perhaps his philosophy itself: AI’s biggest opportunity may not be doing today’s work faster, but helping humans discover what has not been done yet.
This article is for informational purposes only and should not be treated as financial or investment advice.
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