- Adam Mosseri denies that Instagram uses microphone activation to personalize ads and points out the on-screen indicators and the impact on battery life.
- Ads are delivered based on previous searches and clicks, the interests of similar people, and past exposure that goes unnoticed.
- Meta relies on advertiser data and announces that it will use conversations with Meta AI for ad targeting.
- The new policy excludes the EU, the UK, and South Korea; there will be no option to completely opt out of AI chat use.
The old theory that Instagram "listens" to what we say has been circulating again, but the platform's manager has come forward to categorically deny it: Instagram doesn't use your microphone to spy on you. nor to decide which ads it displays.
In a recent video, Adam Mosseri has detailed How to personalize ads without activating the microphone, providing several technical and operational reasons for the advertising system that explain why the app seems to “hit the nail on the head” with what you're interested in.
What Mosseri said about the microphone
According to the director of Instagram, the application does not activate the microphone without permission and does not "listen" to private conversations to target advertising. It also points out that doing so would be a serious violation of privacy and technically obvious.
Mosseri recalls that both on Android and iOS there is a indicator light when the microphone is in use, and that constant use of that function would end up draining the battery evidently, something that users would notice on a daily basis.
Meta insists that it only accesses audio when the user has granted explicit permission for functions that require it, such as recording a video or using microphone-dependent tools within the app.
"We are not picking up your audio. “We don’t even activate the microphone in the background to listen to what you say,” Mosseri explains in his message, stating that the advertising system does not need this practice to work.
So why are you seeing ads for what you were talking about?
A common explanation is that, before the conversation, you had already interacted with something related: clicking on a link, looking at a product, or making a query on the web. These types of signals—shared by advertisers—allow display ads based on previous searches and clicks.
The behavior of your digital environment also influences: Instagram can infer interests from similar people and your contactsIf you were talking to someone about a product and they'd previously searched for it, the algorithm will likely take that into account and target you with a related campaign.
Another point that Mosseri points out is the previous exposure that we don't rememberWe often quickly scroll past an ad, unconsciously absorb it, and then talk about it later, leading us to believe the app "heard" us.
And of course, sometimes it's just a coincidence. The system displays thousands of campaigns a day, and there's always a margin of error. coincidence between what you see and what you talk about, without having to activate the microphone.
Typical examples include viewing product carousels from online stores you frequently visit. This happens because the advertiser can pay to impact you again if you have shown interest on your website or offer recently.
Personalized advertising and the role of Meta AI
Mosseri emphasizes that the recommendation system is sufficiently powerful and draws from multiple sources. Advertisers share aggregated information about who has visited your sites or interacted with your campaigns, which allows for refining segmentation without resorting to mobile audio.
Coinciding with these statements, Meta announced that it will begin to use the conversations with your Meta AI assistant to personalize advertising on their platforms. This would include one-on-one chats with the assistant in apps like WhatsApp, Messenger or Instagram itself.
The company plans to update its privacy policy before December 16 and inform users. The European Union, the United Kingdom and South Korea will be excluded., due to their data protection frameworks. Outside of these territories, ad preferences may be adjusted, but will not allow complete exclusion the use of AI chats for advertising purposes.
Meta maintains that these conversations will continue to be handled in a secure and encrypted, and that leveraging AI signals is independent of activating the phone's microphone.
In short, the use of Meta AI introduces a new source of signals for segmentation, but does not support the idea of audio “spying”; This is data that the user consciously exchanges when chatting with the assistant.
Background and doubts that persist
This isn't the first time the company has come out to debunk this myth. In 2016, Meta published that did not use the microphone on phones to decide on ads nor to prioritize content in the feed, and in public appearances its CEO has rejected the idea of collecting users' audio conversations.
Even so, the The perception of many users remains one of distrustThe accuracy of some campaigns, combined with cognitive biases—such as remembering what confirms our suspicions and forgetting the rest—fuels the feeling that the app is “listening.” If you have doubts, learn to Know if your mobile is being spied on and what to do about it.
In this context, Mosseri insists on the visible signs that anyone can check: the active microphone dot or indicator in the system and the phone's battery life if the audio were in continuous use. These are clues incompatible with alleged constant microphone monitoring.
Instagram, with its enormous scale and billions of usersmaintains an advertising ecosystem based on data from interactions and relationships with advertisers. This framework better explains segmentation than the "always-on" microphone hypothesis.
There is no evidence that Instagram listens to the microphone for ads.Campaigns are informed by prior browsing, shared interests, and new signals like Meta AI, while Mosseri's clarifications bring the spotlight back on how ad personalization actually works within the company's stated framework.
