Netflix Turns to AI to Help Users Navigate Growing Content Library

Netflix is betting on artificial intelligence to help tackle one of its biggest modern challenges: helping users choose what to watch from an ever-increasing content library.

The streaming giant is now leveraging generative AI to enhance content discovery on its platform. The idea is to take the edge off the frustration many subscribers experience when they are inundated with viewing options and no clear guidance.

The update was announced at the Bloomberg Tech conference in San Francisco by Elizabeth Stone, Netflix’s Chief Product and Technology Officer. The volume of content on the platform has become overwhelming to many users, she said.

Netflix’s AI wants to make it easier to select what to watch

Netflix is testing new tools that use artificial intelligence to make its recommendations more personalized and interactive. One of the big features being built is a voice-based interface that lets users simply say what they want to watch.

Rather than slog through endless categories, viewers could tell the platform their mood or preference. The system would then generate personalized recommendations by combining viewing history, personal tastes and trending content.

“There’s a lot of stuff. So, how do I make sense of that and what’s right for me and what’s right for me right now?” Stone told the conference.

That growing frustration is exactly what Netflix is trying to solve with generative AI, she said. The aim, she says, is to make the viewing experience more engaging and responsive for users.

“That helps to solve a consumer frustration that’s bubbling,” she said, adding that the platform is working towards a more personalised and immersive system for the discovery of content.

Netflix has long had recommendation technology as a core strength. Now, the company is looking to push that system further, with the aid of generative AI and natural language processing to get a better sense of what users are actually interested in watching.

The new system is designed to do more than simply suggest categories. Instead it will understand intent, mood and preferences to give more relevant results in real time.

Streaming platform shifts to smarter discovery

The voice interface currently being tested is part of Netflix’s wider push to modernise how users interact with its platform.  This signals a move away from manual browsing and towards conversational, AI-driven search.

“As competition continues to heat up in the streaming industry, Netflix plans to remain at the forefront of recommendation technology,” Stone said.

“That’s been a strength for Netflix for a long time, and I think it needs to continue to be a place where we’re state-of-the-art and continuing to innovate,” she said.

The move comes as streaming platforms face mounting pressure to keep users engaged in a crowded market. The sheer volume of titles available has left many subscribers feeling decision-fatigued.

Netflix believes its investment in AI could help solve that problem by making discovery faster, simpler and more intuitive.

The AI experiments were announced at the Bloomberg Tech conference in San Francisco, where other tech luminaries are also weighing in on the future of artificial intelligence and digital services.