Federal prosecutors charge Google engineer with exploiting search data to pocket millions on Polymarket

The boundaries of corporate insider trading have officially expanded into the wild west of decentralized prediction markets. Federal prosecutors allege that a 36-year-old Google software engineer abused his access to confidential corporate search data to net roughly $1.2 million on the crypto betting platform Polymarket, executing trades with an absurd 95.6% success rate. This unprecedented criminal case exposes a massive blind spot in the modern information economy, proving that the most valuable market edge no longer sits on Wall Street, but quietly inside the server infrastructure of Big Tech.

Michele Spagnuolo, an Italian citizen and 12-year veteran at Alphabet Inc.'s Google based in Zurich, was arrested in New York on Wednesday. The Department of Justice unsealed a sweeping complaint charging him with commodities fraud, wire fraud, and money laundering. Following a brief court appearance, a judge ordered him released on a staggering $2.25 million bond. The detailed allegations describe an insider who essentially treated a global, blockchain-based prediction market like a rigged casino, effectively robbing retail bettors blind.

Between October and December 2025, Spagnuolo allegedly operated under the Polymarket pseudonym "AlphaRaccoon" to place massive wagers on Google's highly anticipated "Year in Search" rankings. According to the federal complaint, the engineer funneled roughly $3.8 million in USDC stablecoin onto the platform to finance his scheme. He systematically accessed proprietary internal tracking tools to discover exactly which celebrities and public figures were genuinely driving global search traffic, weeks before the data was ever officially compiled and released to the public.

With the finalized answers already in hand, his market bets were essentially risk-free. In one staggering instance, Spagnuolo wagered over $613,000 against Pope Leo being the most-searched person of the year, knowing the religious leader's metrics were falling short. In another aggressive move, he placed a highly specific bet that singer d4vd would dominate the rankings—a scenario that public markets priced at a near-zero 0.2% implied probability. When the artist ultimately took the top spot, Spagnuolo walked away with a $200,000 profit from that single trade.

"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," FBI agent Brandon Racz noted in the charging documents.

Google has swiftly moved to contain the narrative and distance itself from the fallout. The tech giant confirmed that the employee has been suspended pending an internal review and full cooperation with federal authorities.

"We're working with law enforcement on their investigation. The employee accessed our marketing material using a tool available to all employees, but using such confidential information to place bets is a serious breach of our policies," a Google spokesperson stated to financial news outlets.

This prosecution marks a massive watershed moment for the burgeoning crypto prediction industry. Polymarket has spent the last two years positioning itself as an infallible barometer of collective human intelligence, drawing billions of dollars in trading volume across political elections, geopolitical conflicts, and cultural events. Yet, this case highlights a critical, potentially fatal structural flaw: markets built entirely on corporate or governmental information are inherently vulnerable to the employees who control the release of that information.

This is the second major federal prosecution involving insider trading on a prediction market. Just over a month prior, a US Army Special Forces master sergeant was charged with using classified military intelligence regarding an international operation to make $400,000 betting on Polymarket.

For Silicon Valley executives and compliance officers, the implications are absolutely chilling. Major tech companies sit atop unprecedented, real-time reservoirs of global human behavior, economic indicators, and retail trends. If a single mid-level security engineer can quietly turn raw search analytics into a seven-figure crypto payday, the integrity of these platforms is entirely compromised. The Spagnuolo case serves as a stark, expensive warning that federal regulators are no longer ignoring decentralized betting platforms, and the legal definition of insider trading is evolving to police the modern data economy.