Stock Markets May 27, 2026 07:52 PM

Google Engineer Accused of Using Internal Search Data to Win $1.2 Million on Polymarket

Federal prosecutors say insider access to Google’s most-searched metrics was used to place profitable bets on a prediction market

By Nina Shah GOOGL

U.S. prosecutors have charged a Google software engineer with exploiting confidential Google search data to place bets on Polymarket that yielded roughly $1.2 million in profits, according to a complaint unsealed on Wednesday. The complaint alleges the engineer used insider knowledge to back unlikely outcomes tied to Google’s most-searched list, including bets connected to musician D4vd and rapper Kendrick Lamar. The individual has been put on leave and Google is cooperating with investigators.

Google Engineer Accused of Using Internal Search Data to Win $1.2 Million on Polymarket
GOOGL

Key Points

  • A U.S. criminal complaint alleges a Google software engineer used confidential Google search data to place Polymarket bets, generating about $1.2 million in profits.
  • Specific alleged wagers included a November 27 bet on musician D4vd topping Google's most-searched list and an October bet on Kendrick Lamar, both timed to internal Google data.
  • Sectors impacted include technology firms handling confidential user and product metrics, and financial markets that host prediction-market trading.

The U.S. Justice Department has filed charges against a Google software engineer accused of leveraging confidential Google search information to place wagers on the prediction market Polymarket, netting approximately $1.2 million in alleged gains, a complaint unsealed on Wednesday states.

The complaint names Michele Spagnuolo, a 36-year-old Italian citizen, as the account holder who allegedly used inside information to bet on outcomes tied to Google’s annual most-searched list. Prosecutors say Spagnuolo wagered on long-shot candidates, including indie pop musician D4vd, after internal Google data showed how public interest was evolving.

According to the filing, D4vd appeared on Google’s most-searched list following an arrest in which he was accused of murdering a teenage girl. Google statistics released on December 4 showed D4vd was the most-searched person of the year, and the complaint alleges Spagnuolo used insider information when placing a bet on November 27 that D4vd would top the list. The complaint notes the markets had assigned a near-zero probability to D4vd finishing as the most-searched individual, which made the wager particularly profitable.

Prosecutors say the accused operated on Polymarket under the account name "AlphaRaccoon" and that the use of confidential search metrics was not limited to the D4vd wager. The complaint alleges a separate October bet backing rapper Kendrick Lamar to lead the list occurred at a time when Google’s internal data indicated Lamar was on track to be the most-searched person of the year.

The complaint was filed in federal court in Manhattan. An attorney for Spagnuolo could not be immediately identified. The document also indicates Spagnuolo resides in Switzerland.

U.S. Attorney for the Southern District of New York Jay Clayton said prosecutors will pursue corporate insiders who seek to convert confidential business information into profits on prediction markets. "Insider trading compromises the integrity of our markets, and the American people want this greed-driven conduct investigated and prosecuted," Clayton said.

Google confirmed it is cooperating with law enforcement and characterized the use of confidential information for placing bets as a serious violation of company policy. A Google spokesperson said the employee has been placed on leave.

The complaint comes after related enforcement activity in the prediction market space. Federal prosecutors in April charged a U.S. Army soldier with using classified information to place Polymarket bets on the capture of Venezuelan leader Nicolas Maduro, as noted in the filings referenced in the complaint.


This case centers on alleged misuse of internal search analytics to inform trading decisions on a public prediction market. The allegations, if proven, raise questions about internal controls around sensitive product metrics and the vulnerability of prediction platforms to misuse by individuals with privileged access.

Risks

  • Erosion of prediction-market integrity if corporate insiders exploit confidential corporate data; this risk affects the broader alternative trading and fintech sectors.
  • Reputational and compliance risk for technology companies if internal controls fail to prevent employees from using sensitive metrics for personal gain; this impacts governance and regulatory scrutiny in the tech sector.
  • Legal exposure for individuals and possibly firms connected to the misuse of confidential information, potentially leading to criminal prosecution and heightened enforcement in markets that settle on real-world events.

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