Have you ever sat down in the evening and turned on the television to find the perfect show recommendation on the first screen that loads? It doesn’t matter if it is Sky, Netflix, Amazon, or any of the other streaming services; they always seem to know exactly what you’re looking for. That’s AI.
Artificial intelligence now has a strong presence in all forms of digital entertainment, from streaming services to music apps and video games. Algorithms process millions of data points to create personalized lists based on everything from the choices of similar profiles to time of day, weather, and previous watch history.
As great as it is to be shown things that appeal to you, the high level of AI involvement raises important questions about privacy, freedom of choice, and creative growth.
What AI Curation Actually Means
AI curation is the result of advanced machine learning. Programmed algorithms use billions of data points every day, studying individual user behaviour. This is the tool that delivers the best shows to you and stops you from spending hours scrolling through every title. This goes beyond selecting the ‘I love this’ button after you finish a good show on Netflix. AI curation algorithms study behaviours, habits, choices, and more. Every time you pause a show or exit mid-way through an episode, data is sent to the curation machine. Curating AIs extend beyond just creating a list of shows you will like. They even use what they learn about your behaviour to create thumbnails that are more likely to catch your eye based on what they know you find appealing.
AI in Streaming: Your Personal Film Critic
Netflix, Amazon Prime, Disney+, and every other major streaming platform use sophisticated AI to keep you watching. These systems analyse far more than just your viewing history. They track everything from whether you watch the intros and credits to rewinding for key scenes and even the time of day you watch different genres. Furthermore, they learn your preferences for tones, pacing, and even cinematography. The AI then uses this data to create a detailed model, which is then applied to the platform’s content database to deliver you the best possible choices for any moment.
It is a tactic that works, as Netflix says that approximately 80% of their viewing hours come directly from AI-curated recommendations rather than specific searches. The implications of this extend beyond merely suggesting what existing shows people want to see because AI could even inform film studios about the type of content they should focus on making.
Music That Knows Your Mood
Every Monday morning, millions of Spotify users are presented with a fresh mix of songs that match their specific tastes. This is the perfect example of AI music curation. Many of the songs on Spotify’s Discover Weekly playlist are songs listeners have probably not heard before, yet the AI algorithm knows they will enjoy them based on the collected data.
The Spotify AI is not alone. Apple Music and YouTube Music have similar processes, where the system identifies each user as an individual. It knows your preferred tempo, key, energy level, and vocal style, even down to the specific time of day you listen. While the algorithms will change across platforms, the intent remains the same: deliver a listening experience that perfectly suits your mood at any time.
This means users do not need to spend time searching and browsing. There is also a benefit for artists, particularly indie acts, as it means their music is being sent to those who are most likely to appreciate their work and listen to it more frequently in the future.
Gaming Gets Personal
AI has several key uses in gaming. Dynamic difficulty settings are one example. Modern video games will automatically adjust their difficulty based on how well you are doing at any given moment. This creates a more fluid and immersive experience and removes unnecessary frustration.
AI algorithms are also used for games that require procedural generation. No Man’s Sky is a great example of how this technology works in cohesive storytelling. AI allows users to travel through the infinity of space and visit any one of 18 quintillion entirely unique planets located across 255 galaxies. It would not be possible for a human developer to create a game anywhere near as expansive.
Non-playable character (NPC) interactions are also driven by AI, creating more realistic responses to player actions and making virtual worlds feel genuinely alive.
This personalisation even extends across the broader iGaming landscape, where users can explore more online casino options with results tailored to their specific preferences, rather than having to browse through every site searching for the one that feels right.
The Privacy Trade-Off
AI curation and perfectly personalized home screens for all your watching, listening, and gaming needs are great, but they come with a price. That price is your data. Your preferences, your browsing patterns, average watch times, pause breaks, rewatches, and more are collected, gathered, and analysed. As soon as that happens, the data is no longer just yours.
Of course, this shouldn’t surprise anyone. We all click to agree on data collection without reading the terms. However, what happens when we trade privacy for convenience remains a grey area that few truly understand.
Beyond privacy, the next big debate revolves around creative ownership. AI can generate music, write scripts, and design game levels. As the line between human and machine blurs, this raises the burning question of ownership.
Who owns a song written by an algorithm created by a team of developers and trained on data gathered from thousands of human artists?
Finding the Balance
AI curation is not an up-and-coming phenomenon. It’s already the norm for major platforms. Technology has been deciding what you want to watch, play, or listen to next for longer than many realize. The paradox of technology is brutal. We live in an age where technology has provided us with more choice and variety than any previous generation. At the same time, we have never been so restricted or herded into a specific watching pattern.
The filter bubble problem is a genuine concern. When AI uses past behaviour to predict current and future patterns, we risk being stuck in an isolated world where the scope of what we consume is minimized further.
Balance is crucial in all areas, including how much we surrender to AI. By all means, browse the recommended options, but remember to step outside your comfort zone every now and then and give something completely new or different a try. Choice should never be replaced by technology. It should supplement it. Ultimately, it is up to the users to decide what is right for them.
