Disney Plus Is Testing an AI Tool That Finds What You Want to Watch

Disney is testing an AI-powered recommendation tool for Disney Plus that lets you search for shows and movies by typing a plain sentence, using voice search, or picking from suggested prompts. The tool then creates a personalized row of recommendations. The company calls it a "limited beta experiment" available to a "small group of select subscribers," with the goal of recommending content that "fits the moment" (The Verge).
The Disney Plus tool is not an isolated experiment. Disney is also introducing an "AI-assisted" conversational search experience for ESPN, called ESPN Search, now in beta with a "subset" of users. ESPN Search lets users ask questions and receive answers, stats, and recommendations "drawn from ESPN's vast sports knowledge ecosystem" (The Verge).
On an earnings call this week, Disney CEO Josh D'Amaro doubled down on plans to make Disney Plus the "digital centerpiece" of the company, citing increased personalization, exclusivity, and benefits for subscribers (The Verge). The AI recommendation and search tests align with that push toward personalization, moving Disney's streaming service beyond the familiar scroll-through-categories experience.
Disney's rivals are doing similar things. Netflix has been testing a conversational search tool powered by OpenAI and also offers a voice search feature. Warner Bros. Discovery announced it is experimenting with a "conversational search experience" for HBO Max. Peacock recently added an AI Andy Cohen that narrates Bravo clips (The Verge). The pattern across the major streamers is consistent: they are all adding ways for viewers to describe what they want in plain words, rather than browsing through menus.
Disney's AI work in streaming predates these tests. In August 2023, the company created a task force to study artificial intelligence and how it could be applied across the entertainment conglomerate (Reuters). By February 2024, Disney had introduced "Disney's Magic Words," an AI-driven advertising system for Disney Plus and Hulu that uses detailed descriptions of what is happening in a scene to target ads based on on-screen content and viewer mood (Reuters). In December 2025, The Walt Disney Company and OpenAI reached a landmark agreement to bring Disney characters to Sora, OpenAI's video generation model (The Walt Disney Company). Disney Plus also expanded its language support to 58 audio languages and added a right-to-left interface in July 2026, introducing support for Arabic, Croatian, Hebrew, Thai, Indonesian, Malay, Hindi, Tamil, and Telugu (The Walt Disney Company.
Taken together, these moves form a clear strategy. Disney is building AI capabilities across content discovery, ad targeting, international accessibility, and video generation. The Disney Plus recommendation beta and ESPN Search are the part users see: the discovery layer. The OpenAI-Sora agreement covers creating new video content. "Magic Words" handles advertising. The language expansion brings in more subscribers worldwide. Each piece supports the others: better recommendations increase engagement, richer scene descriptions improve ad targeting, more languages grow the audience, and AI-generated video could lower production costs.
The broader context here is that streaming platforms are running into the limits of how they currently recommend things. Most streaming services suggest titles based on what you and other viewers have already watched. This works reasonably well for finding something similar to what you already like, but it struggles with what Disney calls the "fits the moment" problem: the viewer who wants something specific but cannot find it by browsing categories. Natural-language search solves this by letting you describe what you want in your own words. A query like "something light after a long day" or "a thriller under 90 minutes" goes straight to a curated row without scrolling through genre menus. Whether the AI can consistently deliver good results from such open-ended requests, fast enough for a living-room TV, is the open question. Disney's "limited beta" framing suggests the company is still testing exactly that.
The competitive dimension matters too. If conversational search becomes something viewers expect, the streaming service with the best version gains an advantage in keeping subscribers, in a market where people cancelling and re-subscribing is the central economic challenge. Disney's advantage is the size of its content library and the ESPN sports knowledge base, both of which give the AI a lot of material to draw from. The risk is that if the AI gives bad or irrelevant results, it damages trust faster than a mediocre "Recommended for You" row does, because a failed conversation feels like a broken promise.
For those curious about how this works under the hood, the basic setup is recognizable: an AI language model processes the user's search, matches it against a database of content descriptions, and returns ranked results displayed as a row on screen. The hard parts are the same ones that always challenge recommendation systems: difficulty surfacing lesser-known content, speed constraints on devices like TVs, the risk of the AI making up descriptions of titles, and the need to keep checking whether the recommendations actually keep viewers engaged. Disney has not disclosed which AI models power the Disney Plus tool or ESPN Search, or whether both use the same underlying system. The ESPN Search description, with its emphasis on answers and stats rather than just title recommendations, suggests it pulls information from a structured sports database rather than generating answers from scratch.
Disney's phased approach, from the 2023 AI task force through Magic Words, the Sora agreement, and now consumer-facing discovery tools, reflects a company that has been building toward integrated AI use rather than reacting to a single market pressure. The Disney Plus recommendation beta and ESPN Search are early, limited tests. Their significance lies in where they sit in the broader product roadmap: the user-facing discovery layer of a multi-year AI strategy that now touches advertising, content generation, internationalization, and search across Disney's streaming properties.


