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Gemini adds tools to import chats and data from other AI platforms

Google has introduced new features for its Gemini AI platform aimed at simplifying the transition for users moving from competing AI assistants. The company is rolling out “Import Memory” and “Import Chat History” tools on desktop, allowing users to bring their past interactions and stored preferences into Gemini with minimal effort.

The update addresses a long-standing challenge in the AI space — the loss of personalised context when switching between platforms. With these tools, users can transfer information that other AI systems have already learned about them, enabling Gemini to deliver more tailored responses from the outset.

Tackling the ‘Cold Start’ Problem

The new features are designed to eliminate what is often referred to as the “cold start” problem, where a new AI assistant lacks familiarity with a user’s history, preferences, and prior queries. By enabling a simple copy-and-paste mechanism, Google is making it easier for users to migrate their data without starting from scratch.

This development follows a similar move by Anthropic, which recently introduced memory transfer capabilities for its Claude platform. The timing highlights intensifying competition among AI providers, as companies look to attract users by lowering barriers to switching.

Push Toward Data Portability in AI

Google’s latest update reflects a broader shift in the generative AI industry toward data portability and user control. As AI assistants become increasingly personalised, the data they accumulate — including chat histories and behavioural patterns — is emerging as a key asset.

By enabling easier migration of this data, Google is positioning Gemini as a more flexible and user-friendly option in a crowded market. The move could also signal a growing expectation among users to retain ownership of their AI-generated data and transfer it freely between platforms.

Industry observers suggest that such features may reduce user lock-in and encourage greater competition based on performance, features, and usability rather than data silos. As interoperability becomes more important, AI companies may need to prioritise open and user-centric ecosystems to remain competitive.

The rollout of these import tools marks another step in the evolution of AI platforms, where convenience, personalisation, and control are becoming central to the user experience.