Google is rolling out a major AI-driven overhaul of Google Finance, folding its Gemini models into a suite of research and market-tracking tools designed to speed up multi-step financial analysis and surface crowd-sourced probabilities on future events.
What’s new
The headline feature, called Deep Search, lets users pose complex financial questions to Google Finance’s Gemini-powered assistant and receive fully cited, multi-source reports in minutes. According to Robert Dunnette, director of product management for Google Search, Gemini can “produce a fully cited, comprehensive response in just a few minutes,” and the interface shows a research plan while the answer is being generated so users can see how the AI reached its conclusions.
Other additions include:
- Integration of prediction-market data from Kalshi and Polymarket so users can query market probabilities for future events (for example, GDP growth for a given year) and see how probabilities have moved over time.
- An enhanced earnings experience with an “Earnings” tab that lists upcoming calls, streams live audio during calls, provides real-time and archived transcripts, and surfaces AI-generated “At a glance” insights before, during and after calls. Users can compare results to historical data, view SEC filings and related documents, and see analyst reactions aggregated into the interface.
Google says Deep Search will run multiple simultaneous searches across disparate sources and synthesize findings; users can follow up with additional questions or drill into cited links.
Rollout, access and limits
The new capabilities are rolling out in stages. Deep Search, prediction-market data and the advanced earnings features are being introduced first in the U.S., with early access available to users who opt into the Google Finance experiment in Labs. Google is also beginning to roll out its reworked Google Finance in India with English and Hindi support, though the most advanced features will arrive there later. Google AI Pro and AI Ultra subscribers will receive higher usage limits for Deep Search queries, but the company has not published specific caps.
You can try the beta on Google’s site at google.com/finance/beta or read Google’s announcement on its official blog for more details.
Why this matters to investors and analysts
Google positions these tools as time-savers that reduce the need to visit many separate pages and stitch together data from earnings calls, analyst reports and news stories. For retail traders and professional researchers alike, the combination of a multi-source AI research workflow, integrated earnings coverage and real-time prediction-market probabilities promises a more centralized way to monitor and investigate companies and macro outcomes.
Productivity gains are the obvious selling point: Deep Search aims to automate the repetitive work of gathering and cross-checking facts so users can focus more on interpretation and decision-making.
Trade-offs and caveats
Industry observers note trade-offs with any AI-driven research tool. While Google emphasizes citations and a visible research plan, AI systems can still make errors or overstate confidence when underlying sources disagree. Prediction markets provide crowd-sourced probability signals but are not guarantees — they reflect who is trading and how markets are priced, which can be influenced by liquidity, participants’ biases, and regulatory constraints.
There are also questions about how financial professionals will balance AI-generated summaries with traditional primary-source analysis. Competitors in the finance data space, including long-established players such as Yahoo Finance, have begun adding their own AI features; Google’s approach is among the more aggressive integrations of large language models into market workflows.
Bottom line
Google’s Gemini-powered upgrades make Google Finance a more capable one-stop hub for gathering financial intelligence: Deep Search for multi-step research, prediction-market feeds for probabilistic signals, and stronger earnings-call tooling for live and post-call analysis. The features will be most useful to those who want to accelerate research and are comfortable validating AI outputs against primary documents and filings.
If you want to try the tools now: opt into Google Finance Labs for early access, or visit google.com/finance/beta while signed into your Google account. Expect staged rollouts, U.S. priority, and higher query allowances for Google AI Pro and AI Ultra subscribers as the company expands availability.