Andrey Fadeev, CEO of GdevThe development of European game development listed at NASDAQ. Advocat with a healthy and lasting lifestyle.
Do you remember your first experience with Chatgpt? It was often like talking to Dory, the forgetful fish. But last year, Chatgpt received a memory. What I mean is that AI learns and develops quickly.
Today, AI is more than a simple assistant automating daily routines. He goes much further and wears many hats; It can be a director, a composer, a storyteller, a game designer and sometimes even an influencer. Entertainment turns into real time. From music adapted to your mood to films created by AI, the border between human creativity and the creativity of machines is blurring.
The new possibilities look so exciting, but are we ready for the future?
AI economy in the media and entertainment
Should we admit the fact that the generative adoption of AI is a necessity for the entertainment industry? According to Google Cloud Research, 64% of media and entertainment leaders have already implemented a generative AI in production. Among them, 72% saw a king at least one AI initiative. The generative AI market for the media and entertainment should reach $ 11.57 billion By 2033, to a TCAC of 26.3%.
This is not the first time that new technologies have required entertainment and media leaders to rethink or disrupt their commercial models. Video streaming services now outfit Traditional TV with customizable libraries and flexible subscription options. Personalized content coupled with targeted ads is Spectator’s growing commitment and retention.
Music streaming services are also already using In their recommendation systems. They soon seek to use a generative AI to create reading lists for cafes and gymnasiums. With startups like Suno, it is possible to create whole songs in a few seconds based on simple text prompts.
IA changes The landscape of games as well as more realistic NPCs and immersive environments that can dynamically adapt to the style, behavior and preferences of players.
How IA reimagine entertainment
Last year, the CEO of Nvidia Jensen Huang foreseen This game entirely generated by AI would appear within 5 to 10 years. So how far we came with entertainment generated in AI? Here is an investigation into how it is used in the entertainment industries:
Video games
THE AI version of Minecraft is generated in real time by a training model, Oasis (Decart and the engraved AI companies), which have sorted physics, environments and game controls from this data.
Gangen neural network engine Learn existing titles Like Doom, generating new levels and dynamically gameplay. Each session seems fresh, thanks to the AI models based on diffusion similar to those used in the creation of images. This promising technology is always faced with high calculation costs and large training data requirements.
In Roblox, users can generate whole environments, characters and mechanisms by describe their vision. Lua scripts generated by AIA automatize physics and game interactions, making game development more accessible than ever.
Movie and video
Generative AI tools are widely used for actors’ de-aged, create visual effects and perform vocal cloning. For example, in the nominated film with the brutalist Oscars, actors Jones and Brody speak Hungarian without accent thanks to the generation of voice of AI. The creative team could accelerate the already long post-production of the 18-month-old film.
AI cinema festivals also appear. And the traditional, like the Tribeca Film Festival, in collaboration with Runway, projected some The most creative examples of generation of AI short films and musical clips.
Music
Platforms like Soundraw, Mubert and Aiva Activate to anyone To compose music without formal training.
AI is also used by popular musicians. For example, K-Pop Label Hybé Records de BTS uses technology to help follow in several languages. These tools are also perfect for demos and the discovery of music, as well as for personalized recommendations.
AI has incredible capacities, but it still cannot manage complex game design decisions or a creative direction. But I don’t think we can say that AI replaces human capabilities – rather, that improves them.
The other side of the generative use of AI
The advantages brought by technology are clear, but what happens on the other side of the medal? The report on the state of the GDC 2025 game industry indicates that 30% of developers said they thought that generating AI has a negative impact on the game industry, up 12% compared to last year. Among the main reasons for dissatisfaction are the theft of intellectual property, energy consumption, the reduced quality of the content generated by AI, potential biases in AI programs and regulatory concerns.
And although I think, in a context of blonde beer, AI will only strengthen capacity rather than replacing workers, many see a generative AI as a threat to jobs. The scriptwriters’ strike was The first major battle between workers and AI. However, after a five-month strike, the writers can decide themselves if they will use a generative AI as a tool to help and complete rather than replace their work.
As part of this, the actors of the voice are Faced with competition Generative AI clones. With people like Scarlett Johansson demanding Openai to stop using his voice In its AI products, regular voice actors working on advertisements, audio books and video games fear loss or work for votes generated by AI.
Many AI models have been criticized for Using protected or personal data Without appropriate consent. Image generation models like Dall-E and Midjourney have been trained on works of art protected by copyright. NVIDIA was criticized for drawing its AI models on videos from YouTube and Netflix without authorization.
The role of AI in the future of entertainment
Github Copilot has changed the development of software by suggest in real time. I see the same thing happening in the entertainment industry. Directors, musicians and writers who collaborate with AI can help push the limits of creativity more than ever. I think it’s just a matter of time before personalized entertainment dominates. In the end, however, people will only pay what really resonates with them.
Regarding specific tools, I believe that there will be no domination of an AI model because they are designed for different purposes. This is the choice of tools that seem good for work – effective, intuitive and aligned with your goal.
I think the future of entertainment depends on how humans and machines can create something extraordinary together.
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