Google has unveiled a significant feature update for its Gemini AI assistant, introducing new tools that allow users to import their chat history and learned preferences directly from competing platforms. The move addresses one of the biggest barriers preventing users from switching between AI assistants—the loss of accumulated context and memory.
The new “Import Memory” and “Import Chat History” features are now available in Gemini’s desktop settings. Users can transfer information that other AI assistants have already learned about them, including personalized preferences, past conversation context, and user instructions. The tools support migration from OpenAI’s ChatGPT, Anthropic’s Claude, xAI’s Grok, and other popular AI chatbots.
This launch comes amid intensifying competition in the AI assistant market. Recent data shows ChatGPT’s share of overall AI platform users fell from 69.1% to 45.3% between early 2025 and March 2026, while Google’s Gemini nearly doubled its user base. The timing suggests Google is positioning to capitalize on growing dissatisfaction with OpenAI following its controversial Pentagon defense contract.
The “QuitGPT” movement, which emerged in late February 2026 after OpenAI signed a deal to deploy its models on the Pentagon’s classified network, has driven significant user migration. Reports indicate a 1,487% increase in users switching to Anthropic’s Claude during March alone. By making the transition process seamless, Google aims to attract these disaffected users who might otherwise default to Claude.
The import feature essentially eliminates the need to re-train a new AI assistant about personal preferences, work style, and important context—something that previously required significant time investment. For businesses and power users who maintain extensive conversation histories, this represents a practical solution to a persistent pain point.
Industry observers note that this is the second major player to offer such migration tools. Anthropic previously introduced similar functionality when it experienced its own surge in user adoption during the QuitGPT movement.
The timing is strategic: with the AI assistant market fragmenting and user loyalty becoming increasingly volatile, platform portability may become a key differentiator. Google’s approach suggests the company believes reducing switching costs could be more effective than locking users in through proprietary ecosystems.