AI in Media and Entertainment: 8 Real-World Use Cases

The AI boom may have only kicked off a few years ago, but its impact has already transformed nearly every industry. Media and entertainment are no exception. From streamlining creative workflows to automating customer support and slashing operational costs, AI solutions in media and entertainment are unlocking new levels of efficiency and innovation.

And the numbers speak for themselves: the global AI market in media and entertainment is projected to skyrocket from $17.1 billion in 2023 to $195.7 billion by 2033, growing at a powerful 27.6% CAGR. The future isn’t just coming — it’s already here.

If you want your business to get benefits like:

• Saved operational costs
• Reduced workload
• Enhanced audience experience
• Better utilization of support teams

you need to know how to use AI and integrate it into your processes. 

In this article, you’ll discover how real-world media and entertainment companies are using AI to personalize content, engage with fans, analyze audience behavior, and more.

Let’s dive right in!

AI use cases in media and entertainment

It’s time to rethink how entertainment and media companies view and leverage AI for their success. Many people still believe that AI in the entertainment and media industry is only useful for creative tasks like generating text (typically scripts) or images. But its main purpose is to remove roadblocks like repetitive and manual tasks that take up time, allowing your human teams to maximize their creative potential.

Let’s see a few areas where AI in media and entertainment improves operations beyond just script writing.

1. Content personalization and recommendations

Personalization is key to audience engagement. Studies show that as many as 96% of music, movie, and media companies use personalization in their marketing campaigns. From content suggestions that keep people on the platform longer to personalized ads that drive sales, personalization is a powerful tactic. And AI can help you achieve that.

To offer personalized recommendations, AI algorithms analyze user behavior, like:

• Watch history
• Likes
• Viewing time

Netflix, YouTube, and Spotify use machine learning models to tailor content feeds. For example, if you’ve just finished a documentary about nature, Netflix will likely suggest similar nature documentaries for you to check out. 

2. Voice synthesis and dubbing

If you live in or were raised in a non-English-speaking country, you’re used to watching dubbed movies. But we all know how cringey most of them look and sound: lips don’t sync with the words, the original meaning is lost, and the acting feels off.

AI-generated voices are now used for automated dubbing and voiceovers, preserving emotional tone and syncing with lip movements. This reduces production time and cost for global distribution and makes localization at scale feasible without needing separate voice talent for each language. Even better, when you watch an AI-dubbed movie, it can sound just like the original actors, with synced lips and more natural performances.

3. Content moderation

With more movies, songs, and content being created every day, it becomes more difficult to moderate them. Research shows that the global content moderation solutions market hit $8.53 billion in 2024, and it’s not slowing down. It’s projected to grow at a steady CAGR of 13.1% between 2025 and 2034. 

What was once the tedious job of sifting through mountains of content can now be automated. AI systems screen content for nudity, hate speech, violence, or copyright violations using computer vision and natural language processing (NLP). 

Platforms like YouTube, TikTok, and Meta use automation to enforce community standards. The same AI systems can also categorize and rate movies, songs, and other content based on content, language, keywords, and other data.

4. Interactive and immersive experiences

Gaming fans expect the highest quality standards from game creators and immersive experiences that create lifelike environments as they play. Developing games of this calibre used to take ages and cost anywhere from thousands to millions. Today, AI is helping game studios cut costs and enhance the player experience. Around 41% of gaming studios use AI tools in game development, and with the technology advancing, the number is likely to grow. 

AI powers:

• Virtual characters
• Game NPCs
• Real-time dialogue systems
• AR/VR content customization 

AI can also make real-time interactions with characters and other players more seamless. 

5. Audience analytics and sentiment analysis 

Analyzing data lets you:

• Know your customers better
• Identify sales opportunities
• Find spending gaps 

However, to achieve comprehensive analytics, you need the right tools to unify your data and provide useful insights. AI can process massive volumes of social media data, reviews, and viewing patterns to assess:

• Fan sentiment about your projects
• Engagement metrics, like when viewers drop off or binge
• Marketing strategies and content production

Still, even if you have the data, you need to be able to access it. Tools like Capacity offer media and entertainment companies advanced AI analytics and demand forecasting. Using data from multiple business touchpoints, Capacity makes accurate predictions and generates insights about your business through seamless integration with your CRMs, help desks, and enterprise tools. 

6. Fan engagement

Finishing a project is just the beginning. What comes next is marketing and dealing with fans and customers. Let’s say your record label releases a new album from a popular band. Fans rush to order it, and with increased customer traffic come inquiries like:

• Do you send orders to Europe?
• My order hasn’t arrived yet. Where is it?
• How can I get a refund?

AI chatbots and virtual assistants can easily handle routine inquiries and FAQs without bothering your human agents. AI interacts with fans via social media DMs, apps, websites, and even voice calls to help them solve problems and get instant assistance. 

Let’s look at Capacity again. It offers media companies conversational AI chatbots that respond to fan inquiries across all your communication channels, including:

• Email
• Social media
• Website
• WhatsApp
• Voice

It can handle many routine inquiries, including:

• Times, dates, and locations of music tours
• Ticket sales
• Processing refunds and complaints

But it’s only one way that smart AI reduces your team’s workload. Capacity also offers assistance to your support staff. Capacity’s Agent Assist functionality allows agents to ask questions and get answers in real time. By integrating it with your help desk platform, your staff can use this feature as a search engine and get direct answers using prompts instead of having to go through countless documents and FAQ pages.

7. Multilingual content generation and subtitling

One of the most difficult and repetitive tasks in the movie industry is subtitling and translating content for audiences around the world. Imagine going through a 10-hour show to write subtitles for every scene and match them to the frames. 

NLP models translate and generate subtitles in real time with contextual awareness. They make it viable to release content in dozens of languages simultaneously, expanding reach cost-effectively.

8. Inventory management 

Effective inventory management ensures the right ad is shown to the right user at the right time. 

AI can help by:

• Analyzing historical data, seasonal trends, and current traffic patterns to predict how much demand there will be for different types of ad inventory
• Setting prices dynamically and optimizing ad placement
• Matching ads with the right content using contextual and behavioral targeting

Relying on AI for inventory management ensures maximum monetization of content across large catalogs with minimal manual effort.

Real-world AI use cases in media and entertainment 

As the saying goes, a picture is worth more than a thousand words. So, let’s walk through some of the AI use cases in media and entertainment that make their jobs easier and create a better experience for their customers.

AI in streaming platforms for content personalization

From Netflix recommending your next binge-watch to Spotify helping you find yet another indie band you can’t stop listening to, AI is mostly behind all of these cases.

Streaming companies use AI for:

• Optimizing streaming quality: Adjusting video and audio quality in real time based on your internet speed.
• Tagging and categorizing content: Automatically labeling scenes, genres, or moods for better search and discovery.
• Creating trailers and previews: Auto-generating highlights or thumbnails to boost click-through rates.
• Predicting trends: Analyzing what content will be popular to guide production and licensing decisions.
• Personalizing content: Recommending shows and movies based on your viewing habits and likes. For example, Netflix sends emails asking viewers to rate recently watched shows to improve their recommendations.

Let’s go back to Netflix. The streaming giant uses AI in many workflows, but one of the most prominent examples is their AI content personalization engine. 

For example, if you watch one true crime series, you’ll soon go down the rabbit hole. The company also uses AI in backend systems to tag, track, and localize content.

Another great example of hyper-personalization is Spotify. For years, Spotify listeners could use personalization features like “Made For You” or the discovery page. But the company is going one step further by integrating AI to help you create playlists based on prompts.

Instead of going through songs, you can just type “relaxing music that makes you fall asleep in seconds” or “rock bands from 2002.” Based on these prompts, the platform creates playlists with relevant songs.

All this helps listeners and viewers feel more connected to the platform and use it as a search engine, not only as a music playlist.

News and publishers use AI to create summaries and sell more books

When you hear about AI in the news and publishing, you probably think about AI writing articles. But generative AI use cases in media and entertainment are just a small part of it. Repetitive task automation to focus on delivering quality content is one of the main AI uses in media.

For example, The Daily Maverick in South Africa uses AI to power their analytics and create summaries for their long-form content. Think of a 3,000-word piece summarized in 7 bullet points. Before, their journalists had to do this manually, which would take hours to go through articles, read them, find the key points, and present them in a clear, structured way. Now, AI does that in seconds.

The company also uses automation to reach a wider audience by making its content more accessible. They have AI features on the website that read articles out loud to help visually impaired readers access the stories. 

Another great example is Penguin Random House. One of the world’s largest publishing houses uses AI to help sell more books. As they say, with AI, they can sell more books than they did ten years ago. 

AI helps them set the pricing strategies for different titles based on:

• Historical data
• Trends
• Customer behavior
• Other metrics

This way, they can optimize the pricing and appeal to more readers. 

Broadcast networks and sports leagues use AI for real-time translation

One of the main challenges for broadcast networks is handling live streams and making them better for a wider audience. Gone are the days of poor-quality streams that constantly lagged.

With AI, quality is increasing, as are the possibilities to make live content more accessible. For example, the Olympic Games use AI to enable the automatic generation of captions and audio descriptions that enrich the viewing experience.

Speech recognition technology can transcribe and translate dialogue and commentary in real time, while computer vision systems can create detailed descriptions of what’s happening on screen.

Another great example is Eurovision Sport, a live sports broadcaster and streaming service. The broadcasting company is working with automation tools to start AI-generated translated commentary live. 

Their first test took place in Lima, Peru, where they dubbed live sports commentary from French to Portuguese using advanced AI. More fans around the world were able to enjoy the game with a seamless live streaming experience.

Entertainment services adjust prices with automation

AI is gaining popularity in entertainment services like ticketing platforms. 

It allows companies to:

• Adjust prices in real time: AI dynamically changes ticket prices based on demand, seat location, and buyer behavior, similar to how airline tickets become more expensive or cheaper depending on interest.
• Personalize recommendations: Ticketing or event platforms can suggest events based on a user’s interests, location, and purchase history.
• Detect fraud: Identify suspicious purchases or bots using pattern recognition and behavioral analysis.
• Forecast sales: Predict demand for events to optimize inventory allocation and marketing spend.

For example, Ticketmaster has been using AI since its dawn. One of the ways the technology helps them is by verifying fans to combat bots. But the company applies AI in many other areas as well, like dynamic pricing, analytics, and customer support. 

Another example is Eventbrite and its AI-powered event summaries. They use AI to automatically generate event summaries and descriptions based on details like type, date, location, and target audience.

Organizers can customize descriptions based on their voice, tone, and audience to sound more compelling and reach more people.

Power your entertainment business with smart AI tools

Better experiences for your fans and customers, faster customer support, clear analytics, and business insights: these are just a few ways AI helps media and entertainment companies thrive.

You can join the winning companies by integrating white-label solutions into your business. Tools like Capacity offer clients a comprehensive AI solution package. With a single platform, you can automate your internal and external customer support, unify your business data, and create an AI-powered ecosystem that serves your company, team, and customers.

Sounds good? No need to wait! Book a demo with us today and see how AI can level up your business.

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