Wafer as AI Decision Layer
Wafer
The key strategic shift is that Wafer is trying to own the decision layer that sits between users, apps, and whatever hardware wins. If that works, Wafer is not just another phone skin. It becomes the software that decides what matters, when to surface it, and which app or service should execute the task, whether the device is a phone, glasses, or an audio first wearable.
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Wafer’s core advantage comes from sitting below the app layer. As an OS fork, it can observe cross app behavior, infer intent from full device context, and then route actions like rides, messages, or media without depending on each app to expose limited assistant hooks.
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That is why the better comparison is not iOS or a launcher, but shared infrastructure for AI interfaces. Perplexity Assistant can trigger app actions, but it depends on AppIntents supplied by developers. Rabbit and Humane showed the same need from the hardware side, each building its own software stack to make constrained interfaces usable.
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The business model implication is platform leverage. If apps become back ends that provide data and execution, then the OS level orchestrator captures the user relationship and can be embedded by OEMs or new device makers that need an AI native interface without building the full intelligence layer themselves.
The next phase of the market is likely a split between app level assistants with broad distribution and OS level systems with deeper context. If more devices move to tiny screens, voice, and ambient computing, the winning layer will be the one that can turn fragmented app data into one coherent interface across many form factors, which is exactly the role Wafer is aiming to fill.