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Meta to Use AI Chat Data to Personalize Content and Ads Starting December

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Meta Platforms announced that beginning December 16, the company will start using users’ interactions with its generative AI tools to personalize both content and advertising across its major apps, including Facebook and Instagram.

The change — which will roll out globally except in the UK, the European Union, and South Korea — will apply to anyone who uses Meta AI, the company’s generative chatbot available via text or voice. Starting October 7, Meta will notify users of the update. However, there will be no option to opt out of this data integration.

AI INTERACTIONS TO SHAPE RECOMMENDATIONS

Meta said that user conversations with its AI — whether discussing travel, sports, or hobbies — will become an additional data signal alongside likes, follows, and other activity to help refine content recommendations and ad targeting.

For example, a user chatting with Meta AI about hiking might later see hiking-related groups, friends’ outdoor posts, or ads for hiking gear.
“People’s interactions simply are going to be another piece of the input that will inform the personalization of feeds and ads,” said Christy Harris, Meta’s privacy policy manager.

The company clarified that AI interactions involving sensitive topics — such as religion, sexuality, health, political affiliation, or ethnicity — will not be used for advertising purposes.

A MASSIVE PERSONALIZATION PUSH

The update is part of Meta’s broader strategy to make its AI ecosystem deeply integrated across all its apps. According to the company, Meta AI now has over 1 billion monthly active users, marking one of the fastest-growing AI deployments worldwide.

At the company’s annual shareholder meeting, CEO Mark Zuckerberg said the goal for 2025 is to make Meta AI the leading personal assistant, emphasizing personalization, natural voice interactions, and entertainment.

The integration comes amid a new phase of AI monetization among tech giants. Both Google and Amazon are already leveraging AI to boost cloud revenues, but Meta’s move is unique for its cross-platform scale and its decision to blend AI chat data with social and ad algorithms.

By combining behavioral, conversational, and contextual signals, Meta aims to offer advertisers more effective targeting while keeping users more engaged through hyper-personalized recommendations.

Meta AI Discovery Feed Allegedly Exposes Users’ Private Chat Content

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Meta’s AI app Discover feed is reportedly showing users’ private chats and personal requests, unintentionally shared with the public. Numerous reports have surfaced revealing that conversations and image prompts, often highly personal, are visible in the app’s social feed, sparking privacy concerns. This unexpected exposure has alarmed users and privacy experts alike, who are questioning Meta’s handling of sensitive user information.

According to a TechCrunch investigation, the Discover feed includes posts where users seek help with sensitive issues such as tax evasion, legal character references, and even medical symptoms like skin rashes. These deeply personal queries appearing in a public space suggest that users may be accidentally sharing private details more widely than intended, raising red flags about the app’s privacy safeguards.

Journalists and privacy advocates have echoed these concerns. Wired’s Senior Correspondent Kylie Robinson reported seeing posts with sensitive questions about personal relationships, while Calli Schroeder from the Electronic Privacy Information Center noted encounters with shared medical records, mental health details, home addresses, and information linked to court cases. Such disclosures in a public feed put users at risk and highlight potential flaws in Meta’s privacy design.

Though some users might knowingly post content publicly, the nature of many of these private questions suggests inadvertent sharing. Additional reports include users uploading selfies originally intended for private chatbot edits, some involving minors, further emphasizing the risks. Social media users on platforms like X have shared screenshots of these disclosures, intensifying calls for Meta to strengthen privacy protections and clarify how user content is shared within the AI app.

Amazon Tests AI-Powered Audio Summaries to Enhance Shopping Experience

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Amazon has begun testing AI-generated audio summaries on select product detail pages, marking another step in the tech giant’s broader push to embed artificial intelligence across its platforms. The feature, announced on May 21, provides short-form spoken summaries of product information, designed to streamline the shopping experience for users.

The AI summaries are based on a synthesis of product details, customer reviews, and other related online content. U.S. customers in a test group can access the feature by tapping the “Hear the highlights” button within the Amazon shopping app. The company said it plans to expand availability to more products and users in the coming months.

The move is part of Amazon’s accelerated investment in voice- and AI-powered tools, following the rise of consumer interest in generative AI sparked by platforms like OpenAI’s ChatGPT.

Amazon’s Expanding AI Ecosystem

Amazon has recently:

  • Upgraded Alexa+, its voice assistant, with generative AI capabilities,

  • Launched Rufus, an AI-powered assistant that answers product-related queries,

  • Introduced Shopping Guides, which offer curated product recommendations and expert advice.

These tools aim to deliver a more personalized, conversational shopping experience and help users navigate the vast inventory more efficiently.

Industry-Wide AI Race

Amazon’s announcement follows a wave of AI-driven innovations by other major tech firms. OpenAI, for example, recently enhanced ChatGPT’s web search to include personalized shopping suggestions with visual previews and purchase links.

Similarly, Google and Meta have integrated AI-powered features across search, messaging, and social media platforms, reflecting a broader industry trend toward more intelligent, voice-driven, and context-aware user experiences.

Amazon’s audio summary test suggests a future where spoken AI guidance may become a regular part of digital commerce, particularly as users increasingly expect faster and more intuitive ways to shop online.