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Netflix Tests a New AI Search for Smarter Recommendations

Netflix is experimenting with a new AI-driven search tool designed to help subscribers find something to watch faster—especially when you’re not sure what you’re in the mood for. The early test is currently limited to iOS users in Australia and New Zealand, and participation appears to be opt-in.

### What Netflix’s AI Search Does
Unlike traditional search that relies on titles, actor names, or genres, this feature reportedly supports more natural, conversational queries. The idea is to let users describe what they want in plain language—think mood-based prompts, vibe checks, or broad requests that don’t map neatly to Netflix’s existing categories.

Netflix has long leaned on algorithms to power its recommendation rows, but search has remained comparatively straightforward. An AI layer could bridge that gap by turning vague intent into actionable results, reducing the endless scroll that often leads to viewers abandoning a session.

### Limited Rollout, Big Implications
The company hasn’t announced a global launch window, and it’s unclear how quickly the test will expand beyond iOS or beyond those two regions. As with most Netflix trials, the goal is likely to measure whether the feature increases engagement—more minutes watched, more titles sampled, fewer users bouncing off the home screen.

If the experiment scales, it could reshape how people discover movies, anime, and series on the service, especially as Netflix continues to expand its catalog across originals, licensed content, and live experiences. It’s also a sign that streaming platforms are looking to generative AI not just for production workflows, but for front-end consumer features that directly affect retention.

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