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tech 28 May 2026

Google Employee Charged with $1M Insider Trading Bet on Polymarket

A Google information security engineer has been charged with fraud after making $1.2 million using insider information on Polymarket.

Article inspired by the original source
Google employee charged with $1M Polymarket insider trading bet on search term ↗ www.cnbc.com

Introduction

In an unexpected twist in the world of technology and predictive markets, a Google employee has been charged with using insider information to make substantial profits on the Polymarket platform. This event raises critical questions about data security and the integrity of financial markets.

The Facts

Michele Spagnuolo, an information security engineer at Google, has been charged with money laundering, commodities fraud, and wire fraud by the federal court in the Southern District of New York. According to prosecutors, Spagnuolo allegedly used Google's internal data to bet that singer d4vd would be the most searched person on Google in 2025, netting him $1.2 million.

The Role of Polymarket

Polymarket is a predictive market platform that allows users to bet on the outcome of future events. While these platforms are legal, they rely on transparency and equal access to information. The Spagnuolo incident highlights the potential risks associated with unequal access to information, especially when it originates from tech giants like Google.

Implications for Google

Google has stated that it is cooperating with authorities and has placed Spagnuolo on leave. This case raises concerns about Google's internal data management and how it can be exploited for personal gain. For a tech giant of this magnitude, trust is crucial, and this incident could well shake that trust.

Broader Implications

The Spagnuolo case is not isolated but falls within a broader context of concerns regarding the use of internal data for personal enrichment. Tech companies must implement stringent controls to prevent such incidents from recurring.

Conclusion

This incident underscores the importance of data security and transparency in predictive markets. Companies must be vigilant about how their internal data can be used, and platforms like Polymarket must ensure equitable access to information.

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