How Artificial Intelligence is Changing Video Game Development
Artificial Intelligence & Game Development | Trends in 2025Artificial Intelligence in the game development niche is changing how games are developed. Discover some of the popular ways how this is achieved in 2025.
Compared to the 1970s and 80s when the first ever video game was created, standards in 2025 are much higher. This is especially true in the AAA game niche where a wrong move or flaw in your game and you find yourself in hot soup with critic and player reviews.
As the demand for high-quality games increases, brands such as 7 slots are looking for many ways to improve their output. One of these ways is through Artificial Intelligence.
Artificial Intelligence has found its way across all digital industries – from healthcare to cybersecurity, AI has many uses. In the gaming industry, many developers are looking for ways through which AI can help them improve their output, both in terms of quality and the time it takes to develop a game. Here are some of the ways.
- Procedural generation;
- Terrain generation;
- Automated modeling;
- Generative music;
- Dynamic storytelling.
Many of these aspects surround the use of generative AI to develop the game. Below is a quick breakdown of what each of these aspects constitute.
Procedural Generation
In video games, procedural generation makes it possible for developers to create a diverse and vast range of game environments without the need to store huge amounts of pre-designed content. Instead, these environments, including textures, terrain, and other elements, are created by algorithms. This creates a unique gaming experience for every player in each session.
Procedural generation optimized resource usage, enabling players with less powerful devices to access it. Moreover, the technique fosters creativity. This gives the developer more room to focus more on refining the algorithm and delivering a more entertaining game.
Terrain Generation
Terrain generation involves creating natural-looking terrain for a simulation or game. The process can include but is not limited to generating valleys, landscapes, mountains, and other natural-looking features. The overall objective of terrain generation is to create believable and immersive environments, which users can interact with as well as explore.
Automated Modelling
Generative AI will streamline the development of 3D models for characters and other aspects of the game. This way, the time and labour used for developing the game are reduced significantly.
Generative Music
Also referred to as algorithmic music, generative music is usually created using mathematical formulas and algorithms. The approach offers the advantage of allowing for the creation of unique and dynamic soundtracks, which can seamlessly adapt to the player’s actions and the game’s environment.
Real-World Examples of Games with AI
To better understand how AI has significantly influenced the development of games, it’s best to check out the following games
- No Man’s Sky;
- Spore;
- Minecraft.
They integrate most of the features discussed above. And as AI technology progresses, a game such as Minecraft updates its algorithm.
Testing Video Games
Lastly, generative AI can easily be used to conduct in-game testing and quality assurance. The technology can be used to automatically detect defects and bugs in games, and use this information to rank them in respective play stores. In fact, Google is already using this technology to delist deficient games from the PlayStore, with many other companies looking to follow the same path.
