Google will now display real-time prediction market odds from Polymarket and Kalshi directly in Google Search and on its revamped Google Finance platform. This change opens up crowd-based forecasting data from blockchain and regulated event markets to everyday users, embedding forward-looking probabilities into mainstream financial search tools.
Google’s latest update marks a clear shift in how the company is positioning prediction markets: by integrating live odds from Polymarket and Kalshi into its Search engine and Google Finance, it is bringing what used to be specialized and niche into everyday use. Users will soon be able to pose natural language queries like “Will the U.S. enter a recession in 2025?” or “Who will win the 2026 presidential election?” and immediately see the current probability derived from crowd-driven trading on those platforms, accompanied by charts showing how the odds have changed over time.
This signals multiple changes. First, the inclusion of Polymarket and Kalshi introduces event-based markets (covering elections, macroeconomics, sports, policy outcomes) directly into the research and decision-making workflow of casual and professional users alike.
The “wisdom of the crowd” becomes not only accessible but visible and integrated alongside stocks, bonds and macro-indicators. Second, from a technical standpoint, it validates prediction market data as meaningful input for broader financial analytics. The fact that Google is adopting it suggests that these markets’ output is gaining legitimacy as a signal rather than just speculation.
From niche event contracts to mainstream search queries
Strategically, the rollout may accelerate liquidity, participation and awareness of prediction markets. They may evolve from experimental to essential layers in the financial-information stack. For example, investors, analysts and hedge funds could begin treating these probabilities as supplementary data points when modelling risk, pricing derivatives or hedging event exposure. This creates a pathway for event markets to interlink with traditional finance.
Nevertheless, challenges remain. The reliability and interpretation of prediction-market odds are complex: users may misread probabilities as certainties; markets may suffer from low liquidity or manipulation; regulatory oversight remains unclear in many jurisdictions.
Additionally, making sure that Google presents this data with proper context — disclaimers, historic performance, and the nature of the markets behind them — will be critical.
In summary: Google’s decision to integrate Polymarket and Kalshi data into everyday search engines marks a turning point. If the rollout is successful and well-managed, prediction-market probabilities could become a standard metric next to stock charts and bond yields.
