The streaming industry spent the better part of a decade treating its recommendation engine as a competitive moat. Netflix built proprietary algorithms, Disney+ leveraged franchise loyalty data, and Max deployed behavioral modeling that tracked not just what you watched, but when you paused, rewound, and abandoned. The promise was irresistible: a service that knows you better than you know yourself, endlessly surfacing the perfect next watch.

The problem is that it worked too well, and then it stopped working at all.

By early 2026, a measurable cultural shift had taken hold. Streaming analytics firms began documenting what they quietly termed algorithmic