Gemini's personal memory layer lands in India, starting with paid tiers

Google is widening the next front in consumer AI from “better answers” to “answers that know your life.” In TechCrunch's April 14 report, the company said Gemini Personal Intelligence is coming to users in India. The feature lets Gemini connect to Google accounts and pull context from products such as Gmail, Google Photos, and recent YouTube viewing history so it can answer questions with personal context instead of generic search-style output.

The immediate product implication is obvious. A user can ask Gemini something like what their Jaipur travel plans look like, and the model can synthesize details from email, photos, or other connected data sources. Google says Gemini will show sources for its answers so people can verify where details came from. At launch the feature is limited to AI Pro and AI Ultra subscribers in India, with an expansion to free users planned in the coming weeks. That makes this a paid-first memory rollout rather than a universal switch-on.

The timing also matters. Google first introduced Personal Intelligence in beta in the U.S. in January, widened it to all U.S. users in March, and has already expanded the feature to Japan. India is one of Google's largest and most important markets, so moving a memory-heavy Gemini feature there is a stronger signal than another incremental model update. It shows Google is willing to push deeper account-linked AI behavior into mainstream consumer markets, not just early adopter geographies.

There is risk embedded in the rollout, and Google is openly acknowledging some of it. The company cautions that Gemini can still miss context or nuance, especially around sensitive or changing personal situations. That warning is not a footnote. Personal AI becomes more useful when it reads your data, but it also becomes more fragile when it draws the wrong conclusion from that data. If Google gets adoption in India, the bigger story will not just be market expansion. It will be whether consumers are comfortable turning account history into an everyday memory layer for AI.