How AI is creating the universal entertainment app

All major entertainment platforms are beginning to look eerily similar, and that is by design. For the past decade, the digital landscape was defined by fierce competition over a single format: music on Spotify, video on Netflix, podcasts on Apple, and short clips on TikTok. Today, that battle is shifting dramatically. Thanks to AI-powered convergence, these companies are no longer fighting for dominance in one category. Instead, they are racing to become the universal entertainment app , the one you open by default whenever you have a few spare minutes, regardless of whether you want to watch, listen, play, or scroll.

Several forces are driving this shift. First, the market for standalone entertainment apps has reached maturity. User growth has slowed, forcing companies to compete on time spent and revenue per user rather than new sign-ups. Second, modern creators often produce content across multiple formats, making it logical for platforms to offer a unified home for all of that work. But the third and most transformative factor is artificial intelligence. AI makes it far more feasible for a single company to build, manage, and optimize several content formats simultaneously. The broader the content mix, the more time users spend inside the app, which in turn fuels both advertising income and subscription revenue.

Netflix provides a clear example of this strategy. Over the past few years, the streaming giant has expanded well beyond movies and TV shows. It now offers gaming, live sports, and other events, as well as short video clips and podcasts. The goal is to capture user attention even when there is no specific film or series to watch. Netflix wants to fill those small pockets of downtime that people typically spend on social media, casual games, or TikTok. Similarly, Spotify has moved far beyond its original identity as a music streaming service. After integrating podcasts, it added video podcasts, social features like Q&As and comments, stories, messaging, fitness classes, audiobooks, narrated magazines, and even physical book sales.

YouTube has followed a parallel path. Originally the go-to for longer-form creator content, it introduced short-form video to compete with TikTok. It also carved out dedicated spaces for podcasts, gaming, music, movies, TV, sports, news, and shopping. Users can now watch free ad-supported movies and TV, stream live events, or rent and buy titles to build a personal library. At this pace, combining YouTube TV and YouTube Music directly into the main platform , and selling tiered access to the entire bundle , seems inevitable. Even TikTok, best known for short videos, has expanded into long-form content, travel planning, shopping, local discovery, live event ticketing, and more. It has even launched standalone apps for microdramas and sporting events like the FIFA World Cup.

While each service still retains some unique features, the overall trend is unmistakable: convergence toward a similar set of offerings. The focus is shifting from format-based differentiation to user experience and personalization. This is precisely where AI becomes the critical differentiator.

When format no longer sets platforms apart, the value they deliver hinges on how well they connect users with the next piece of content. AI-driven recommendations are becoming the core competitive advantage. They sharpen personalization while also giving users more direct control over how those suggestions are made. Spotify, for example, is testing a tool that lets users edit their Taste Profile, an AI-built model of their preferences. It is also developing features that allow users to chat with AI about what they want to consume, building playlists that span not just music but multiple content types.

Netflix has made similar investments. Co-CEO Greg Peters told investors during the company’s first-quarter earnings call that new model architectures are improving personalization and enabling faster iteration. AI-assisted coding is also accelerating how quickly these companies can build and launch new content areas. Meanwhile, generative AI is being used for content creation, though this remains controversial as artists worry about their work being used for training or being replaced entirely. Netflix has leaned into this space, recently acquiring Ben Affleck’s AI filmmaking company for $587 million.

YouTube has deployed generative AI to launch more creator tools, improve its search engine, add conversational AI features, build playlists, and expand content reach with auto-dubbing. Earlier this year, the company reported that over a million channels had used its AI creation tools, and 20 million consumers used its Gemini AI-powered content discovery tool in December alone. Alphabet CEO Sundar Pichai has positioned AI as central to the YouTube experience for both creators and viewers. TikTok has similarly built out its own AI ecosystem, including an in-app chatbot, video-creation tools, AI-driven search and recommendations, and accessibility features.

All four platforms are also applying AI to their advertising stacks, helping marketers write ads, target audiences, price placements, and measure results with greater precision.

For consumers, this convergence means fewer reasons to switch between apps. Whichever platform you choose gains an advantage: more data on your habits, greater lock-in, and a higher barrier to leaving , even if prices rise or quality declines. As the boundaries between music, video, podcasts, books, and games continue to blur, the next major battle in entertainment is no longer about which format will win. It is about which app will become the default destination for all entertainment, no matter what shape it takes.