Michael Saylor on raising $15 billion with ChatGPT and embracing automation

ArticlePreston ForeNews

In a podcast interview, Michael Saylor describes how he used ChatGPT to structure novel Bitcoin-backed preferred shares, raising roughly $15 billion for Strategy. He urges founders not to compete with machines through harder work, but to prompt AI for unprecedented solutions.

Key points

  1. Saylor turned to ChatGPT to design a Bitcoin-based preferred stock after traditional capital-raising avenues were exhausted.
  2. Strategy (formerly MicroStrategy) raised around $15 billion through IPOs and related offerings based on this structure.
  3. His core advice is not to outwork automation, but to focus on asking AI to execute tasks that have never been attempted before.
  4. The strategy carries high risk due to extreme exposure: Bitcoin dropped 26% while Strategy shares fell 38%.

Why it matters

This case highlights how generative models can serve as ideation tools for complex corporate financial engineering. At the same time, it illustrates the sharp market risks involved when aggressive AI-guided financing is heavily tied to volatile assets.

Analysis

Rather than using AI merely to replicate existing workflows, Saylor frames the tool as an instrument to unlock novel commercial structures. Nevertheless, his approach relies on extreme balance-sheet exposure to cryptocurrency movements. As commentators have pointed out, Strategy's leverage creates severe downside vulnerability, echoing earlier episodes of volatility in Saylor's corporate history.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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