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Google announced it will integrate prediction-market data from Polymarket and Kalshi directly into Google Finance search results, with initial access rolling out to Search Labs users in the coming weeks. The move aims to let users query future-facing questions , for example, “What will U.S. GDP growth be in 2025?” , and immediately view probability estimates formed by crowd-sourced market prices and their time-series trajectories.
GOOGLE TO INTEGRATE KALSHI AND POLYMARKET DATA INTO SEARCH
– Google Finance will soon display live prediction market data from Kalshi and Polymarket.
– This will allow anyone to type natural questions like “Will the Fed cut rates in December?” and get real-time odds straight… pic.twitter.com/c64GFry8we
— BSCN (@BSCNews) November 7, 2025
The integration marks a major step in bringing real-time collective forecasting into mainstream financial search, and comes as capital pours into the prediction-market sector: Polymarket has reportedly taken investment from ICE and is valued at about $9 billion, while competitor Kalshi recently closed a $300 million funding round at a $5 billion valuation. Polymarket said October was a record month for volumes, active traders and new markets, and it plans to re-enter the U.S. market as soon as regulatory conditions allow (possibly by month-end).
Deep Search, Prediction Data, and Google Finance Expansion
Google is also enhancing Google Finance with Deep Search, prediction-market data and earnings-tracking features. The company confirmed that Google Finance recently launched in India with support for English and Hindi, and that the new features are already live in the U.S., with broader regional rollouts planned.
Deep Search is designed for complex, research-grade queries. When users select Deep Search, Google will run hundreds of retrievals and invoke its advanced Gemini models to produce a consolidated answer , complete with source citations , in a matter of minutes. The interface displays the AI’s research path in real time, and users can follow links to inspect sources or ask follow-up questions.
Prediction Markets Move Beyond Politics
Industry observers say prediction markets are evolving from politically focused betting platforms into multi-sector “information hubs” covering sports, macroeconomics, business and culture. Bernstein recently noted this shift, while Kalshi’s head of its crypto business predicted that within 12 months the company’s markets will be integrated into mainstream crypto apps and exchanges.
Polymarket’s management has also confirmed plans to issue a native token, $POLY, with a planned airdrop for early users , a development likely to deepen token-based engagement in prediction markets.
Why This Matters
- Mainstream distribution: Google’s distribution brings prediction-market prices to millions of users via familiar search workflows, potentially accelerating adoption among retail and institutional audiences.
- Research-grade answers: Deep Search aims to make complex scenario analysis accessible, combining market-derived probabilities with AI-assisted synthesis and source transparency.
- Industry validation: Large strategic investments and high valuations (Polymarket ~$9B; Kalshi $5B) signal renewed investor confidence in markets that translate collective expectations into price-based forecasts.
- Tokenization and crypto rails: Polymarket’s $POLY plans and Kalshi’s crypto ambitions indicate prediction markets will increasingly leverage tokens and on-chain liquidity to scale.
