Apple’s camera-equipped AirPods are still expected to arrive in late 2027, despite an apparent company video leak that made the unusual artificial-intelligence product appear ready for an earlier release.

The 13-second video was discovered inside the release-candidate version of macOS Tahoe 26.7, software normally distributed shortly before a public update. It shows a man wearing AirPods while looking at a physical book and asking Siri to remember it. The assistant describes a feature called Visual Intelligence that makes the user’s surroundings “saveable.”

The demonstration matters because it provides the clearest evidence yet of how Apple intends to move artificial intelligence beyond the iPhone screen. The cameras would not primarily take photographs or record conventional video. They would give Siri low-resolution visual information about whatever is in front of the wearer, allowing the assistant to identify an object, understand its context and respond to a spoken request.

A shopper could look at a product and ask Siri to remember it, compare it or locate it later. Someone preparing dinner could ask for recipes based on ingredients on a counter. Travelers could receive directions based on landmarks, while users with limited vision could ask the assistant to identify objects or describe their surroundings.

The leak, however, does not necessarily reveal the exact product Apple plans to sell in 2027.

Apple is reportedly developing at least two camera-equipped AirPods projects under the internal designations B790 and B798. References found inside macOS indicate that the leaked demonstration may involve B790, while the more advanced B798 model has been associated with the late-2027 release schedule. The video could therefore represent an earlier hardware version, a software demonstration or a product Apple is using internally to prepare Visual Intelligence before the final consumer device is ready.

That distinction is important because the most difficult part of the project is not placing a small camera inside an earbud. Apple must build visual-AI models capable of interpreting a constantly changing environment without producing dangerous or embarrassing mistakes. A phone camera is deliberately pointed at an object. Earbuds move with the wearer’s head, can be covered by hair or clothing and may capture incomplete or blurred information.

The project was reportedly intended for an earlier release but slipped partly because of Apple’s prolonged difficulties delivering its more advanced Siri. Without a reliable assistant capable of understanding context, remembering previous requests and connecting visual information with applications, camera-equipped AirPods would offer little more than expensive sensors.

Apple is also trying to solve a hardware problem that competing AI companies have approached through glasses. Meta’s camera-equipped Ray-Ban glasses place cameras near the wearer’s eyes, giving them a direct view of the scene. AirPods are less visually intrusive and already familiar to hundreds of millions of consumers, but the camera angle from a moving earbud could be less stable and less precise.

Privacy may become the largest obstacle. AirPods are small enough that people nearby may not realize they contain cameras. Apple reportedly does not intend the earbuds to function as covert recording devices and may include an external indicator when visual information is being processed or transmitted. But the company has not explained whether images would be analyzed entirely on the device, temporarily sent to an iPhone or uploaded to cloud servers.

Those details will determine whether consumers view the product as a useful assistant or an invisible surveillance device.

For Apple, the commercial opportunity is larger than selling another premium pair of earbuds. If AirPods can continuously connect Siri with the physical world, they could become an AI interface that users wear for hours—reducing the need to remove an iPhone, open an application and type a question.

The leaked video shows that Apple’s concept is no longer merely experimental. But it does not mean the finished product is imminent. The company still needs to prove that Visual Intelligence can see accurately, respond quickly, protect bystanders’ privacy and deliver enough practical value to justify putting cameras into one of the world’s most common personal accessories.

JBizNews Desk | Cupertino, California

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