Apple Camera Chief: AI in iOS 27 — Superpowers, Not Hype

In iOS 27, Apple did something that was both eagerly awaited and feared simultaneously: generative AI is now built directly into the camera and Photos app. Smartphones can now fill in pixels that never existed in the original shot.

What the new Photos app can do

The updated Photos received a set of generative tools that work on top of an already-taken photo. The principle is the same everywhere: the algorithm analyzes the frame's context and creates new content that visually fits the original.

Generative Expand allows you to push the boundaries of a photo — AI will redraw the sky, continue the background, add space where the camera missed. Clean Up removes unwanted objects: a random passerby, a pole, a trash can — the algorithm restores the background as if the obstacles never existed.

John McCormack — the man at Apple responsible for developing camera systems — explains the company's approach through a simple question: does the feature solve a real user problem? If not, it won't make it into the iPhone.

"We don't add AI for AI's sake," — John McCormack, Wired.

Superpowers — not a metaphor

"Superpowers" is not a marketing slogan but a working term for McCormack's team. By it they mean tools that make possible what previously required Photoshop and hours of work — or was altogether impossible.

Apple is betting on personal use scenarios: family photos, travel, portraits. In these cases, removing a stranger from a frame or expanding a photo to fit wallpaper dimensions — is an understandable and useful operation, not manipulation.

Generative features of the new Photos in iOS 27:

• Generative Expand — frame expansion with background redrawing
• Clean Up — object removal with intelligent space filling
• Recovery of blurred and noisy photo details
• Automatic suggestions for composition improvement
• Frame adaptation for Stories, wallpapers, and 4:3 aspect ratios

Each feature, according to McCormack, passed internal review: does it bring real value to a specific person or just demonstrate the technology's capabilities?

Pixels that never were

This is where an uncomfortable conversation begins. Technically, a photo with added or altered pixels is no longer an accurate document of reality. The photography industry has long debated where retouching ends and falsification begins. Sony, Nikon, Canon, and major media platforms have already implemented the C2PA standard — a digital signature technology that records the entire history of a photo and explicitly marks generative changes.

This matters for news and documentary photography, where authenticity is critical. Apple has not publicly announced support for C2PA in iOS 27. McCormack points out that the generative features were created with everyday scenarios in mind, not journalistic ones. But the line between "family photo" and "archival document" is blurred — especially now when the same images end up in courts, insurance companies, and visa applications.

iPhone, meanwhile, does not explicitly warn that some pixels in the frame were generated by an algorithm rather than captured by the lens.

What this means

Apple officially enters the era of generative cameras — the place Google Pixel has been moving toward for the past several years with Portrait Unblur and Magic Eraser. The difference is that iPhone is the world's most massive camera, and Apple's solutions automatically become the new standard for hundreds of millions of users.

The position of "not for AI's sake" is the right signal, but the real test will begin in the fall: then we'll see if Apple is ready to explain to people what in their frame is reality and what is the work of a neural network.