Netflix reported a massive 83% surge in profit to $5.28 billion during the first quarter of 20ly6. This financial windfall accompanies a revenue climb of 16.2% year-over-year to $12.25 billion. To drive further engagement, Netflix plans to add a vertical video feed and use AI for recommendations starting this month.

A New Era of Content Discovery: The Vertical Video Feed

The implementation of a TikTok-style interface marks a significant departure from the static browsing grids that have defined the service for years. By introducing short-form, vertical content, Netflix intends to bridge the gap between traditional long-form media and emerging formats like video podcasts. This feature has been in a testing phase since last year, suggesting a calculated effort to capture users accustomed to the "infinite scroll" mechanics of social media.

This shift is not merely about mimicking competitors but about expanding platform utility. As viewing habits fragment across multiple devices, providing a low-friction entry point into deeper content is vital. The goal is to utilize these micro-moments of engagement to drive long-term retention within the broader ecosystem.

How Netflix Plans to Use AI for Recommendations and Production

Beyond UI changes, the company is leaning heavily into Generative AI to overhaul its recommendation engines and content pipelines. Co-CEO Gregory Peters noted that while personalization efforts have spanned two decades, new model architectures are essential for supporting diverse content types more efficiently. This technological shift focuses on enhancing the creative process rather than replacing human artistry.

A key component of this strategy involves the recent acquisition of InterPositive, an AI creation company founded by Ben Affleck. According to Co-CEO Ted Sarandos, this proprietary technology is designed specifically for filmmakers, offering tools fundamentally different from general-purpose generative video applications. This suggests a move toward a vertically integrated production pipeline where AI assists in visual effects and scene construction.

Key areas of strategic deployment include:

  • Algorithmic recommendations utilizing new model architectures to handle diverse content types.
  • Enhanced search functionality through previously launched ChatGPT-powered interfaces.
  • Specialized filmmaking tools via the integration of InterPositive technology.
  • Optimization of the advertising suite to drive higher returns for brands.

Scaling the Ad-Supported Ecosystem and Future Outlook

The push toward automation is inextricably linked to Netflix's aggressive ad revenue targets. The company expects to generate $3 billion in advertising revenue this year, a goal supported by plans to use AI for deeper customization within its ad suite. This expansion follows recent subscription price hikes in the United States, signaling a move toward a multi-tiered, high-engagement ecosystem.

As the company navigates this transition, it is also facing structural changes at the highest levels. This includes the departure of co-founder and chair Reed Hastings from the board this summer. However, the platform remains on stable ground; by the end of 2025, Netflix reached 325 million paying subscribers, providing a massive foundation for these experimental features.

The industry will be watching to see if "TikTok-ifying" the experience enhances discovery or erodes the prestige of the original catalog. While financial metrics suggest unprecedented growth, long-term success depends on whether short-form engagement can successfully funnel users back into high-value, long-form content. The era of passive viewing is rapidly giving way to an era of hyper-personalized, algorithmic interaction.