Michael Saylor warns against rampant deepfake videos featuring Bitcoin scams, removing 80 daily. The MicroStrategy executive chairman is taking action against the alarming rise of AI-generated videos that falsely promote Bitcoin doubling schemes.

Michael Saylor warns against rampant deepfake videos featuring Bitcoin scams, removing 80 daily. The MicroStrategy executive chairman is taking action against the alarming rise of AI-generated videos that falsely promote Bitcoin doubling schemes.
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MicroStrategy executive chairman Michael Saylor has warned that scammers are using AI-generated deepfake videos of him to promote fraudulent Bitcoin “doubling” schemes, and says his security team is now removing around 80 fake scam videos per day from YouTube and other platforms. These videos typically show a realistic synthetic version of Saylor in fake livestreams, podcasts, or interviews, urging viewers to scan a QR code or send BTC to a wallet address with the false promise that their Bitcoin will be doubled and returned. According to Saylor’s public warning on X (formerly Twitter), there is “no risk-free way to double your Bitcoin” and MicroStrategy does not give away BTC in exchange for scanning barcodes or sending funds, directly contradicting the claims made in the scams. He describes an ongoing cat‑and‑mouse dynamic in which his team continuously flags and takes down these AI deepfake videos, but new ones are rapidly uploaded as scammers exploit low-cost generative AI tools and the public visibility of high‑profile Bitcoin advocates. Cybersecurity write‑ups on related “MicroStrategy Crypto Giveaway” scams note that these schemes copy MicroStrategy branding and Saylor’s image, promise to distribute large amounts of BTC or ETH, and instruct victims to send crypto first, which is never returned. The episode illustrates how generative AI has escalated the sophistication and scalability of classic crypto “giveaway” and doubling scams, increasing the difficulty for ordinary users to distinguish legitimate corporate communications from forgeries. It also highlights a broader emerging risk around AI-enabled impersonation of well-known figures in finance and technology, who can be used as bait to target both retail investors and the wider crypto community. Saylor’s response—continuous takedowns and public education about verification—reflects a growing industry emphasis on user vigilance: checking official channels, distrusting promises of guaranteed high returns, and never sending cryptocurrency to addresses promoted in unsolicited videos or streams.

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