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Oct. 6, 2025, 6:12 a.m.
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Meta to Use AI Chatbot Data for Ad Targeting on Facebook and Instagram from December 2025

Brief news summary

Starting December 16, 2025, Meta will use interactions with its AI chatbots on Facebook and Instagram as signals for ad targeting and content recommendations, treating these chats like likes or shares. For example, chatting about hiking could lead to ads for outdoor gear. This raises privacy concerns since conversations often contain personal, sensitive information potentially accessible to advertisers. Meta intends to exclude sensitive topics like politics and health from targeting, but experts warn identifying these areas is difficult. This policy won’t apply in Europe or the UK due to strict regulations like GDPR. Other companies like Google and Amazon are also adopting AI-driven advertising, reflecting a wider industry move toward personalized AI ads amid privacy debates. Users worried about Meta’s approach can opt out by avoiding its chatbots or using unaffected platforms like WhatsApp. Oversight will be crucial to balance personalized advertising benefits with protecting user privacy.

Beginning December 16, 2025, Meta will introduce a major change in how it utilizes data from AI chatbot interactions on Facebook and Instagram to enhance ad targeting and content recommendations. Under this new policy, conversations users have with Meta's AI assistant will directly impact the advertisements they encounter and the content suggested on these platforms. Crucially, users will not have the option to opt out of this specific type of data use, marking a significant shift in Meta’s approach to data privacy. Meta states that the aim of integrating AI chatbot interactions into their ad targeting algorithms is to boost the relevance of ads and content delivered to users. The company compares this to existing practices where actions like likes, shares, or comments shape the content shown in users’ feeds. For instance, if a user discusses hiking with Meta’s AI chatbot, they may see ads for hiking gear or recommendations for posts and events related to outdoor activities and hiking. While this method seeks to tailor the user experience more accurately, it also represents a deeper fusion of behavioral data from personal conversations into Meta’s monetization tactics. This development has raised concerns and criticism from privacy advocates and consumer rights groups, who point out that AI chatbot interactions often feel more private and confidential than traditional social media engagements such as post comments or likes. This perception increases the chance that users might disclose more sensitive or personal information without fully realizing these conversations are tracked and analyzed for advertising purposes. In response to these privacy concerns, Meta has assured users that data concerning sensitive topics like politics and health will be excluded from ad targeting.

However, experts warn that defining sensitive content is highly subjective and susceptible to errors or oversights, which could jeopardize user privacy despite these safeguards. This policy currently applies to users outside Europe and the United Kingdom, where strong data privacy laws like the General Data Protection Regulation (GDPR) provide greater protection against such data uses. Consequently, Meta will not use AI chatbot data for ad targeting in these regions for the time being. Meta is not alone in pursuing AI-driven advertising models; other tech giants such as Google and Amazon are also exploring ways to utilize conversational AI interactions to enhance their advertising strategies. This points to a wider industry trend toward more personalized, AI-powered advertising, fueling ongoing debates about data privacy, user consent, and transparency. For users uncomfortable with Meta’s new data usage policy related to AI chatbot conversations, the only current way to prevent their chats from influencing ad targeting is to stop using Meta’s AI chatbot services entirely. Alternatively, platforms like WhatsApp—which is not currently affected by this policy—may offer a communication space without such data-driven advertising integration, at least for now. As the implementation date nears, it will be vital for users, privacy advocates, and regulators to closely observe how well Meta enforces protections around sensitive information and the broader consequences for user data security and privacy in an increasingly AI-driven digital environment. Balancing improved personalization with the protection of personal information remains a central challenge in the ongoing evolution of AI-enabled social media platforms.


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