Google has today taken a bold step in artificial intelligence with the launch of Personal Intelligence in its Gemini app. The feature represents a major shift in how the AI assistant understands and assists users in carrying out everyday tasks.
It is built to be deeply personal, drawing on information across a user’s Google ecosystem to provide tailored help.
This new capability is rolling out as a beta experience to Google AI Pro and AI Ultra subscribers in the United States for now. It is opt-in by design, giving users control over what personal data Gemini can access. The broader aim is to make the assistant not just smart but also context-aware and intuitive.
The company, in a blog post, said the feature “marks our next step toward making Gemini more personal, proactive and powerful.”
For years, most consumer AI felt generic. It answered basic questions but lacked real insight into a user’s life. Google’s Personal Intelligence changes that. Instead of reacting only to the text in a prompt, Gemini can now reason across data from Gmail, Google Photos, YouTube history, Search and more.
It can spot patterns, recall details and provide proactive suggestions that feel customised for the user.
An interface of the newly announced Google’s Gemini Personal Intelligence
The result is an AI that sees more of the context around your interests and priorities. For example, a user planning a weekend getaway might get travel recommendations that combine hiking trails identified through Google Photos with local gallery events found in Gmail invitations. This level of personal planning reduces the effort required to organise meaningful experiences.
It is a significant evolution from earlier AI assistants, which only referenced past chats or isolated app data. Now Gemini can knit information together in ways that feel genuinely helpful.
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The official blog gave a practical example of how this personalised AI can make life easier.
When a user needed new tyres at a workshop, Gemini could identify the correct tyre size and suggest options by cross-referencing past photos of the car and related emails. It even retrieved the vehicle’s licence plate number from a photo, so the user did not have to walk back to the vehicle while waiting in line.
Beyond practical errands, personal intelligence can assist in everyday decisions. It can curate books and show suggestions based on what you’ve enjoyed before. It can parse travel history and interests to offer alternative trip ideas that are better suited to your tastes. It can even find old lecture schedules in Gmail or price quotes from a snapshot stored in Photos.
Gemini Personal Intelligence
Google has emphasised that privacy and control are central to personal intelligence. The feature is off by default, and users choose which apps they want to connect. You can enable only the data sources that matter to you.
Gemini will reference the information you allow it to access, but Google says it will not train the AI directly on your private content. Photos, emails and other data stay in the Google ecosystem and do not leave it solely for training purposes. The model only trains on limited information, such as prompts and responses, not on the full contents of your Gmail or Photos library.
Google also structured Gemini to be transparent about how it uses personal data. If you ask for clarification about where an answer came from, Gemini will try to explain which connected source it used.
And if an answer feels inappropriate or incorrect, you can correct it or regenerate a response without personal data.
Gemini
To guard against unwanted assumptions, Google built guardrails so the AI avoids speculating about sensitive life areas unless you explicitly ask about them.
At launch, Personal Intelligence is limited to eligible Google AI Pro and AI Ultra subscribers in the United States. It works across web, Android and iOS versions of the Gemini app. Over time, Google plans to expand availability to more regions and eventually to free-tier users.
The company also hinted that the integration will come to “AI Mode” in Google Search, bringing proactive, personalised suggestions directly into everyday search experiences.
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