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FBI Charges Google Engineer with Insider Trading for $1.2M Polymarket Bet on Search Rankings

6 min read•May 30, 2026•
James Okafor
James Okafor

The FBI has charged a Google software engineer with insider trading after he allegedly used confidential internal search ranking data to place bets on Polymarket, netting $1.2 million in profit. The case marks one of the first major federal insider trading actions targeting prediction markets, raising serious questions about data integrity at big tech companies and the regulatory gray zone of crypto-based betting platforms.

What Happened: The Charges Against Michele Spagnuolo

The U.S. Department of Justice unsealed a criminal complaint yesterday charging Michele Spagnuolo, an Italian citizen residing in Switzerland, with commodities fraud, wire fraud, and money laundering. Spagnuolo was arrested Wednesday in New York and appeared before a federal judge, according to reporting from the BBC and other outlets.

According to Ars Technica, the complaint alleges that Spagnuolo accessed Google's confidential internal search ranking data — data that predicts which public figures will top the annual "most searched" lists — and used it to place bets on Polymarket, a prediction market platform. The charges carry significant prison time if proven, with each count of wire fraud alone carrying a maximum of 20 years.

The case is notable not just for the size of the alleged fraud but for its venue: Polymarket, a blockchain-based platform that allows users to wager on the outcome of real-world events, has become a popular but lightly regulated arena for financial speculation. The DOJ's aggressive response signals that such platforms are not beyond the reach of traditional securities and commodities laws.

Google Polymarket charges news image

The Scheme: How AlphaRaccoon Profited from Secret Data

Spagnuolo operated under the Polymarket handle "AlphaRaccoon." The criminal complaint details how he allegedly placed bets on which public figures would be the most-searched names on Google in 2025. Unlike ordinary traders, he had access to internal Google data that showed real-time search volume ranking trends — information Google treats as commercially sensitive and does not disclose publicly.

"Unlike the counterparties to his trades, Spagnuolo knew the outcome of these wagers before the trading public did because he had accessed Google’s confidential, commercially valuable internal data," the complaint reads. The bets were structured as binary options: wagering on specific names to top the annual Google search rankings, with payouts determined by the eventual public release of Google's Year in Search report.

The scheme reportedly netted Spagnuolo $1.2 million in profit, though the exact timeline of bets has not been fully disclosed. The FBI and DOJ worked with Google's internal security team to identify the data breach, which was traced back to Spagnuolo's access logs and internal search queries.

Why This Is Significant: Insider Trading Goes Crypto

While insider trading cases have traditionally centered on stocks, bonds, and commodities, the rise of prediction markets has created new opportunities for those with access to non-public information. Polymarket, which operates on the Ethereum blockchain, allows users to trade on everything from election outcomes to weather patterns, often using cryptocurrency.

Legal experts have debated whether prediction market bets constitute "commodities" under U.S. law, but the DOJ has taken the position that they do. The charges against Spagnuolo include commodities fraud, which carries the same legal weight as securities fraud. This case could set a precedent for how the government prosecutes future insider trading on similar platforms, including Kalshi, PredictIt, or decentralized alternatives.

It also underscores the risk for employees at large tech companies who have access to proprietary data. Google, Meta, Amazon, and others maintain vast reservoirs of user behavior data that could theoretically be used for trading. The Spagnuolo case may prompt these companies to tighten internal data access controls even further.

Market and Regulatory Implications

The timing of the charges is significant. Polymarket has seen explosive growth in recent years, handling billions of dollars in bets during the 2024 U.S. presidential election cycle. Yet the platform has operated with minimal regulatory oversight compared to traditional financial exchanges.

The case is likely to accelerate calls for clearer rules around prediction markets. The Commodity Futures Trading Commission (CFTC) has been wrestling with how to classify these platforms, and the DOJ's action may push Congress to provide explicit statutory guidance. In the meantime, platforms like Polymarket may face increased scrutiny over their know-your-customer (KYC) and anti-money-laundering (AML) practices.

For Google, the incident is a reputational blow. The company has long marketed itself as a steward of user data and trust. That one of its own engineers allegedly exploited internal tools for personal enrichment will likely fuel ongoing antitrust and regulatory scrutiny of big tech's data practices.

What This Means for the Industry

For investors and competitors: Prediction market platforms must now consider that their users may include individuals with access to non-public data. Expect platforms to strengthen KYC procedures and collaborate more closely with law enforcement to avoid becoming targets of regulation.

For big tech companies: The case is a wake-up call for internal data governance. Any company with proprietary data that could influence market outcomes — whether search trends, app store rankings, or user engagement metrics — must assume that employees may attempt to monetize it. Expect tighter audits, reduced data access, and more aggressive legal enforcement from companies like Google.

For regulators: The DOJ's action signals that prediction markets are not exempt from insider trading laws. The CFTC and SEC may follow with their own rulemaking, potentially classifying certain types of prediction market contracts as swaps or securities. This could reshape the entire prediction market industry, which has thrived in part due to legal ambiguity.

Conclusion

The charges against Michele Spagnuolo represent a landmark case at the intersection of big tech, prediction markets, and insider trading enforcement. By using his employer's confidential data to profit on Polymarket, he allegedly crossed a line that the DOJ is now aggressively defending. The outcome will likely shape both how tech companies safeguard internal data and how regulators treat the rapidly growing world of blockchain-based prediction bets.

Arizona appeals court vacates manslaughter sentence after AI video

An Arizona appeals court vacated the 10.5-year sentence of Gabriel Horcasitas while upholding his manslaughter conviction, first reported by Nytimes. The case returns to Maricopa County Superior Court for resentencing without the video, after judges found that it presented scripted statements as if the victim himself were speaking in court.

The three-judge panel said the video generated a likeness of Christopher Pelkey’s voice and appearance but did not reflect actual events. It found that allowing and relying on the video made the sentencing fundamentally unfair, and noted that no prior Arizona case had addressed the admissibility of such a depiction at sentencing.

The judges said a victim’s right to speak cannot override a defendant’s right to be sentenced on accurate, reliable information. They said the video collapsed the distinction between the family’s belief about what Pelkey would have said and Pelkey’s own voice and opinions.

The ruling distinguishes family members speaking about Pelkey from a generated likeness that appeared to speak for him.

Pelkey’s sister, Stacey Wales, presented the video during Horcasitas’s sentencing alongside victim-impact statements from family and friends. Wales wrote the script and said her husband and the couple’s longtime business partner helped create the video using Pelkey’s voice from a YouTube video and his face and torso from a funeral-service poster.

Judge Todd F. Lang praised the video as genuine, then imposed the maximum sentence of 10.5 years, more than the nine years prosecutors had sought.

Wales said nobody intended to make the court believe Pelkey was alive or that he had recorded the video before his death. She said she disagreed with the ruling and argued that families use slide shows, collages, hypothetical conversations and poetry to convey grief.

Wales compared the AI video with photography, saying it took 15 years of landmark cases around the 1860s before photography was widely accepted in courts.

The case returns to Maricopa County Superior Court for a new sentencing hearing without the AI-generated video.