Federal prosecutors have accused a Google employee of using private company data to make more than $1.2 million from the prediction site Polymarket, a case that shines an unflattering light on a thriving industry built on trust.
As prediction markets attract more money and new users, the allegations raise fears that insiders may be making money before everyone knows the game has changed.
Federal prosecutors this week filed the charges Michele SpagnuoloGoogle software developer authorities say used unpublished internal search trend data to place winning bets Polymarket before Google’s “Year in Search” estimates were made public. According to prosecutors, the trade generated more than $1.2 million in profits while the information remained confidential.
The allegations strike at a fundamental requirement of any financial platform: users must believe they are operating on a level playing field. Whether the money is in stocks, commodities or futures contracts, participation is based on the assumption that no party has access to information that is hidden from everyone else. When that thinking is questioned, people tend to be more cautious about where they put their money.
That challenge is becoming increasingly important as prediction markets move further into the mainstream. Platforms like Polymarket have attracted increasing interest from traders, investors and everyday users who want to speculate on political events, economic developments, sports results and breaking news. Proponents argue that these markets can provide important predictive signals. Critics have long warned that rapid growth could create opportunities for abuse if oversight fails to keep pace.
According to the complaint, Spagnuolo is accused of adjusting his wagers as internal Google search data emerged during the final months of 2025, allowing him to a place to bet based on information not available to the public at large. After Google’s search rankings were released in December, prosecutors said the account generated significant profits. Investigators later tracked cryptocurrency sales linked to the operation.
Google confirmed that it had placed the employee on leave and described the alleged behavior as a serious violation of company policies. The company said it is cooperating with law enforcement authorities.
Regulators are unlikely to view this as a single issue. Prediction platforms have expanded rapidly, attracting large capital markets and becoming close to the financial mainstream. That growth raises serious questions about oversight, especially when allegations of insider gain arise.
The case also follows another recent insider trading prosecution case involving Polymarket. Last month, prosecutors indicted a US special forces soldier accused of using classified information to benefit contracts related to events in Venezuela. The emergence of many high-profile cases in a short period of time is likely to increase scrutiny of how platforms identify suspicious activity and prevent users from exploiting privileged information.
The case comes as speculative markets handle huge sums of money and draw close attention from regulators who worry that insider gains could drive public participation before the industry is fully mature.
For users, the question is simple. If people believe that other traders have access to information that no one else can see, they may be less willing to put money on the platform. In an industry built on participation and finance, that can be a growing challenge.
Polymarket emphasized its cooperation with investigators and noted that blockchain transactions leave transparent records that cannot be traced. The company has also revised its rules to expressly prohibit trading based on confidential information or information that may influence the outcome of the event.
The story of the growth of the industry is mainly motivated by increasing participation and increasing interest in other types of speculation. Situations like these threaten to focus attention on a different question: whether the safeguards protecting these platforms are evolving as quickly as the industry itself.
Prediction markets have spent the past two years showing that they can attract money and attention. The next test may prove that they can keep the confidence the growth depends on.
