How AI is Transforming Video Streaming: Today’s Practices and Future Trends

Zhuge Yue from Hulu delivered a presentation titled “AI Video Applications: Today and the Future,” highlighting how the media industry—especially video platforms—offers one of the richest environments for AI and machine learning due to massive user bases, vast content libraries, and abundant data.

Hulu, a leading U.S. video streaming service formed by Disney, Fox, NBC and later joined by Time Warner, provides on‑demand TV shows, movies, original series, and live television from thousands of channels such as CNN, HBO, and ESPN.

Algorithms permeate every aspect of the product: the personalized cover story, layout ordering, and recommendation of shows are all driven by AI models that infer user intent, viewing habits, and contextual factors.

The platform’s recommendation system relies on two dimensions: user‑centric data and video‑centric metadata. Hulu extracts rich metadata from its content—titles, eras, characters, scenes, fight sequences, music tracks—and augments it with machine‑learned tags derived from visual and textual analysis.

To address the cold‑start problem for new titles and live events, Hulu builds a “content embedding” where each video is represented as a high‑dimensional vector using a feed‑forward network. These embeddings enable similarity searches and improve recommendations for both on‑demand and live programming.

Hulu’s technical stack is organized in layers: an infrastructure layer that supports GPU‑accelerated ML workloads; a shared‑feature layer storing user data, content embeddings, and a knowledge graph of entities (shows, actors, directors, ads, etc.); and a shared‑model layer offering reusable ranking and conversion models.

Current innovations include explainable AI that combines the knowledge graph with reinforcement learning to show users why a particular show is recommended and to let them provide feedback, as well as creative interactive experiences that integrate voice assistants for conversational content discovery.

Hulu is also experimenting with highly personalized design, tailoring visual elements and ad placements to individual preferences, effectively delivering a “thousand‑faces” experience.

The overall vision is to make the lower infrastructure layers richer and more robust so that higher‑level services can be built faster, more flexibly, and with greater imagination, positioning video media as the premier arena for AI deployment.