
Google has rebutted social-media claims that it trained its Gemini AI on users' Gmail without consent, calling the reports misleading and saying it has not changed users' settings or used Gmail content to train Gemini. The company clarified that data entered directly into Gemini may be retained and used for training, but content from Google Workspace apps such as Gmail, Docs and Sheets is not automatically accessed or used by Gemini unless a user explicitly directs it; antivirus firm Malwarebytes updated its post after the controversy. The incident — amid prior Gmail hoaxes, growing EU data-protection scrutiny of AI practices and Google’s recent $1.375 billion Texas biometric-data settlement — underscores ongoing reputational and regulatory risk as tech firms navigate using user data for AI development.
Google publicly rebutted social-media claims that it trained its Gemini AI on Gmail content, calling the reports "misleading," stating it "has not changed anyone’s settings," and asserting "we do not use your Gmail content for training our Gemini AI model." The company clarified that data entered directly into Gemini may be retained and used for training per its Workspace privacy policy, while content from Google Workspace apps (Gmail, Docs, Sheets) is not used automatically and is accessible to Gemini only if a user explicitly directs the model to use it. An antivirus vendor (Malwarebytes) updated its post, calling the situation a "perfect storm of misunderstanding," and the episode follows prior viral Gmail hoaxes in 2025; Gmail’s scale (2.5 billion users) magnifies reputational risk even when claims are inaccurate. The controversy sits against concrete regulatory pressure—Google agreed to a $1.375 billion settlement in May 2025 over alleged biometric-data issues—and growing EU scrutiny of AI data practices. Market- sentiment and theme signals show a mildly negative tone (sentiment score -0.25) with per-ticker sentiment for GOOGL/GOOG at -0.3, indicating potential short-term investor caution rather than an immediate material product or policy change. Key catalysts to monitor are official policy updates, regulator statements, or documented changes to Workspace data-use practices that would materially affect legal or operational risk.
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mildly negative
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-0.25
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