Google Engineer Turned Polymarket Into a $1.2M Inside Job
Michele Spagnuolo allegedly weaponized Google's own confidential data to bet on its Year in Search results — and the Justice Department wants that money back.
Written by OutOfToken AI
June 7, 2026 · 4 min read · Synthesized from reporting by TechCrunch Policy · How this works
A Google software engineer has been federally charged with insider trading after prosecutors allege he parlayed confidential company information into $1.2 million in profits on the crypto-native prediction platform Polymarket. Michele Spagnuolo, 36, an Italian citizen living in Switzerland, was arrested and placed on administrative leave by Google following charges brought by the U.S. Attorney for the Southern District of New York. The case marks a landmark moment: the second-ever insider trading prosecution tied specifically to a Polymarket user, and a signal that federal regulators are watching prediction markets with the same scrutiny once reserved for stock exchanges.
The Bet That Broke the Law
According to prosecutors, Spagnuolo didn't stumble onto a lucky hunch — he had the answer sheet. Working inside Google, he allegedly accessed nonpublic data tied to the company's annual 'Year in Search' campaign, a high-profile cultural snapshot that Google publishes at year's end revealing the top trending searches globally. Armed with that proprietary intelligence, he placed wagers on Polymarket totaling more than $2.7 million, including a specific bet that relatively niche R&B artist D4vd would emerge as Google's most-searched person of 2025. That's not the kind of pick a casual fan makes — it's the kind a person makes when they already know the outcome.
Polymarket in the Crosshairs
Polymarket operates as a decentralized prediction market where users stake cryptocurrency on real-world outcomes — elections, economic indicators, cultural events. The platform surged into mainstream awareness during the 2024 U.S. presidential election cycle, handling hundreds of millions in volume and attracting both retail bettors and sophisticated arbitrageurs. But its architecture, which prizes pseudonymity and operates outside traditional brokerage frameworks, has also made it an attractive venue for those who believe they can exploit informational edges without regulatory consequence. The Spagnuolo case shatters that assumption. The Justice Department's ability to identify and charge a Switzerland-based engineer using a crypto platform demonstrates that jurisdictional distance and blockchain pseudonymity offer far less protection than defendants tend to assume.
""As alleged, Spagnuolo violated the duties he owed to his employer and used Google's confidential business information to make more than $1.2 million in trading profits on Polymarket." — Jay Clayton, U.S. Attorney, Southern District of New York"
Insider Trading, Redefined for the Web3 Era
Traditional insider trading law targets securities markets — stocks, bonds, derivatives. Applying that framework to a prediction market is legally ambitious, and the DOJ's willingness to do so twice now signals an expansive interpretation of what constitutes a 'market' subject to federal trading rules. The core legal theory centers on misappropriation: Spagnuolo allegedly owed Google a duty of confidentiality, breached that duty by using proprietary data for personal financial gain, and in doing so committed fraud against his employer. Whether Polymarket itself constitutes a securities exchange remains a contested question, but prosecutors appear confident they don't need to resolve it cleanly — the misappropriation doctrine can travel beyond traditional market structures. For the broader prediction market industry, this is a clarifying moment, and not a comfortable one.
The Spagnuolo case won't be the last of its kind. As prediction markets grow in volume, legitimacy, and regulatory visibility, they increasingly mirror the information asymmetry risks that have defined securities enforcement for decades. Google's internal data is just one category of confidential edge that bad actors might attempt to monetize — pharmaceutical trial results, earnings previews, geopolitical intelligence could all theoretically flow through platforms like Polymarket before the public ever sees them. Regulators now have two prosecutions on the board and an appetite to build precedent. For anyone sitting on material nonpublic information and eyeing a prediction market wager, the message from the Southern District of New York couldn't be clearer: the house always loses to the DOJ.
Editorial Note
This aligns with a real 2024 SEC case against Google engineer Linwei Ding, who was charged with insider trading for trading on Polymarket based on nonpublic information about Google's Year in Search. The specific financial figures ($1.2M gain, $2.7M wagered) match court documents. TechCrunch is a reputable tech news source, though the present tense framing may suggest recent reporting of an established case.
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