Choosing something to watch on Netflix can sometimes take longer than watching the programme itself. Viewers open the app, scroll through recommendations, check different categories and still struggle to find something that matches their mood.

Netflix is now testing a new feature designed to make that experience easier. On 3 November 2026, the company introduced AI Discover, a new tab in its television app that uses artificial intelligence to help members find films and series based on what they feel like watching.

Instead of relying only on familiar categories and previous viewing activity, the feature lets users start with a mood, occasion or available viewing time. It then suggests content that matches their choices.

The launch is part of a wider change in digital entertainment, where streaming services are moving beyond traditional recommendation lists towards more interactive and personalised experiences.

What Is Netflix AI Discover?

AI Discover is an experimental feature inside the Netflix TV application. It gives viewers another way to explore the platform’s library through AI-powered recommendations.

Netflix already uses recommendation technology to suggest films and series based on viewing history, ratings and titles added to My List. AI Discover adds a more direct way for viewers to explain what they want to watch at that moment.

For example, someone looking for a relaxing evening might select a theme such as “Something Light”. A family looking for a film could choose “Family Movie Night”, while someone with limited time might select “Quick Watches”.

The feature then displays recommendations based on the selected theme.

Netflix describes AI Discover as a testing environment where it can introduce new discovery experiences, collect feedback and decide which ideas should become part of its wider platform.

How Does AI Discover Work?

The new feature is designed around a simple process. Instead of searching through multiple categories, viewers begin by selecting a theme that matches their interests or situation.

Here is how the experience works:

1. Choose a viewing theme

Users select from available themes, such as “Something Light”, “Scare Me”, “Family Movie Night” or “Quick Watches”. Each theme can include a preview clip from a film or series.

2. Explore personalised recommendations

After selecting a theme, Netflix displays titles that match the chosen experience. The recommendations can also reflect viewing preferences and what the user has watched recently.

3. Refine the results

Viewers can explore more specific themes to narrow down the recommendations. If the suggestions are not suitable, they can select “Something Different” to explore another set.

4. Give direct feedback

Each recommendation includes a “Tune Your Recommendations” option. Users can indicate that they want to keep a recommendation or ask Netflix not to suggest a particular title again within AI Discover.

The system uses this feedback to adjust future recommendations in the feature.

How Is AI Discover Different From Traditional Netflix Recommendations?

Netflix has used recommendation algorithms for years. Its existing system analyses viewing behaviour and other signals to help determine which content a user may enjoy.

AI Discover introduces a more interactive approach. Rather than waiting for the platform to predict what someone might want, users can directly communicate their current viewing preferences.

The main difference is not that Netflix has started using AI for the first time. Recommendation systems already rely on machine learning and other data-driven techniques. The change is how viewers interact with those recommendations.

Why Is Netflix Investing in AI-Powered Discovery?

Streaming platforms have libraries containing thousands of films, series and other programmes. Having more content gives subscribers greater choice, but it also creates a discovery problem.

A viewer may spend several minutes scrolling without finding something suitable. This can make the experience frustrating, particularly when people already know what type of entertainment they want but cannot easily find it.

AI-powered discovery could help address this problem in several ways.

Less time searching: Viewers can begin with a mood or occasion instead of browsing multiple categories.

More relevant suggestions: Direct feedback gives the system additional information about what users want to see.

A more interactive experience: Recommendations become something users can refine rather than simply accept or ignore.

Better content discovery: Older films, less familiar series and other titles may become easier to find when they match a viewer’s interests.

For Netflix, improving discovery may also help viewers make better use of the content available through their subscriptions.

How Other Technology Platforms Are Using Personalisation

Netflix is not the only company using AI to make digital experiences more personalised.

Music streaming platforms already use listening history, selected preferences and recommendation systems to suggest songs and playlists. Online shopping services recommend products based on browsing activity and previous purchases. Social media platforms also personalise feeds according to user interactions.

The next step is making these systems more responsive to direct instructions.

Instead of only predicting what a person might like, services can allow users to explain what they want at a particular moment. This could become an important part of how people interact with entertainment, shopping, search and other digital services.

Netflix’s approach is one example of this broader movement towards more conversational and interactive digital experiences.

What About Privacy and Personal Data?

Personalisation depends on information about users. Streaming services may use viewing history, preferences, feedback and other activity to improve their recommendations.

This makes transparency important.

Users should understand what information is used, how recommendations are influenced and what controls are available. They should also be able to manage their preferences and understand the difference between information used for personalisation and information used for other purposes.

Netflix’s help documentation explains that AI Discover is optional and currently available only to a small group of members. It also clarifies that choosing not to recommend a title removes it from AI Discover recommendations, rather than changing recommendations across the entire Netflix service.

These distinctions matter because users should not assume that changing one recommendation setting changes every part of their account.

Is Netflix AI Discover Available to Everyone?

Not yet.

As of 9 November 2026, Netflix is gradually testing AI Discover with a limited group of members in the United States who use the service in English on supported televisions and streaming devices.

The company has said it plans to expand access over the coming weeks, but it has not announced a confirmed worldwide release date.

The feature is optional, and regular Netflix recommendations remain available to members who do not have access to the experiment.

If the feature is available on an eligible account, viewers can look for a “Discover” option with a red gem icon in the top navigation menu of the television app.

Users who cannot see the option may not be included in the initial test or may be using a device that does not meet the technical requirements.

What Could This Mean for the Future of Streaming?

AI Discover shows how entertainment platforms are experimenting with more direct and personalised ways to help people find content.

In the future, streaming services could make discovery even more flexible. Viewers might be able to describe a specific viewing experience in ordinary language, combine several preferences or refine recommendations through a longer conversation.

For example, someone could look for a short comedy suitable for a family evening or a mystery series with a particular style. More advanced discovery systems could use those instructions to narrow down thousands of available titles.

However, better recommendations will not automatically solve every problem. AI systems can misunderstand preferences, repeat unsuitable suggestions or overlook content that a viewer might enjoy.

The quality of the experience will depend on how accurately these systems understand users and how much control people have over their recommendations.

Netflix AI Discover is still an early experiment, but it highlights an important change in digital entertainment. Streaming platforms are beginning to move beyond simply showing viewers what they might like. They are exploring ways to let viewers explain what they want and help the technology find it.