HBO Max launches AI-powered vertical shorts feed to fix content discovery

The shift toward TikTok-style navigation marks a pivot from the traditional poster-grid UI to an engagement-first, snackable discovery model. By surfacing high-intensity scenes instead of full trailers, HBO Max is attempting to reduce the 'time-to-watch' metric that often leads to churn. This brings Warner Bros. into direct technological parity with Netflix and Disney+, both of which recenty deployed similar algorithmic feeds to capture mobile-native audiences. The next critical signal to track is whether this scene-level AI tool successfully converts short-form browsing into full-length series completion rates, particularly for deep-backlog catalog titles.

The rollout follows a broader trend among major streamers moving toward conversational interfaces and short-form discovery modules to combat subscription fatigue. In March 2026, per Media Play News, Disney+ launched 'Verts,' its own vertical video feed that uses advanced algorithms to present clips from Marvel, Star Wars, and Pixar. Disney reported that early internal testing of the format in late 2025 resulted in a 23% lift in average session length, highlighting the format's potential to keep users within the app ecosystem longer.

Netflix has also scaled its use of generative AI in search, moving significantly beyond simple keyword matching. Per reports from January 2026, Netflix transitioned its search architecture to use vector databases and large language models to interpret 'vibes' and emotional intent in user queries. This move was part of a larger structural redesign of the Netflix TV app homepage, representing the first major overhaul of its interface in over a decade.

Behind these interface changes lies a more aggressive push toward AI-driven monetization across the Warner Bros. Discovery portfolio. In June 2026, the company announced an expansion of its partnership with Amazon Web Services (AWS) to integrate 'agentic AI' into its advertising technology stack. Per TV Technology, this system automates campaign planning and audience forecasting across both linear and digital channels. By combining scene-level metadata for discovery with autonomous agents for ad optimization, WBD is attempting to create a unified data layer that connects viewer engagement to precise advertiser outcomes.