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Google Strengthens Finance Platform With New Standalone AI App

by THEFUTURE.TEAM

Google has unveiled a dedicated mobile app for Google Finance, bringing watchlists, real-time market data, live financial news and the company’s AI-powered “Key Moments” feature into a single platform.

Google Finance Moves From Web Feature To Standalone Product

The new app is launching on Android first, with an iOS version expected in the coming months. Google says additional capabilities are on the roadmap, including the ability to listen to live earnings calls.

For users, the pitch is straightforward: a faster, more centralized way to track markets and monitor portfolio activity. For Google, the opportunity is larger. By separating Finance into its own app, the company is making a clearer play for daily engagement in a category long dominated by established platforms such as Yahoo Finance and trading apps like Robinhood.

An AI Layer Designed To Explain Market Movement

One of the app’s key features is Google’s AI-powered “Key Moments” tool, which explains why a stock is moving. Rather than requiring users to piece together headlines and market data themselves, the feature is intended to provide context behind price movements.

Google Finance Web Experience Expands Beyond Beta

Alongside the app launch, Google said its revamped Google Finance web experience, first introduced last year, is now moving out of beta. The updated platform includes new portfolio functionality designed to give users a consolidated view of holdings and performance.

Existing Google Finance portfolios will automatically appear in the new experience. Users can also create new portfolios by uploading files or describing their investments to the chatbot, making setup more accessible for retail investors who manage assets across multiple accounts.

The rollout is global, and it marks a meaningful step in Google’s effort to turn Finance into a more comprehensive destination rather than a standalone market widget.

AI Research And Natural Language Tasks Add Another Layer

The company is also introducing an AI research tool that allows users to ask portfolio-specific questions, such as which sectors are underrepresented in their holdings.

In addition, Google has added a task feature that enables users to create recurring briefings, market summaries and performance updates using natural-language prompts. Once configured, these tasks run automatically in the background.

Google said the new portfolio and task features are available on the web starting today and will arrive on the mobile app in the coming months.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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