In a time where 2.5 billion gamers generate terabytes of data daily, Jalwa Game is increasingly using real-time AI to analyze player feedback and reviews to better understand what works, what doesn’t, and how to best grow. This granular feedback isn’t just used to create more enticing virtual worlds, but can also be applied to a wide range of business processes and functions to improve efficiencies in everything from customer support to marketing.

Despite the promise of generative AI, not all developers are excited about using this technology. Josh Sawyer, studio design director at Obsidian Entertainment (creators of narratively acclaimed games like Fallout: New Vegas and Pentiment), believes that generative AI isn’t ready for use in games just yet. He says that the key to a good game is the world and characters, and that AI hasn’t proven that it can create interesting ones.

AI in Decision-Based Games: Branching vs. Dynamic

Then there’s the issue of copyright infringement. Since many generative AI tools learn to create content by scraping text and images from the internet, Jess fears that it could end up being a form of mass copyright infringement for some studios. However, he also notes that there are third parties advertising ethical tools that work off authorised sources, and some studios are exploring systems trained on internal data.

While there are a number of concerns surrounding the use of AI in video games, there is also great excitement for its potential to improve overall gameplay. From fighting enemies that adapt to the player’s tactics, to tackling dynamic bosses who change their attack patterns constantly, AI is becoming more and more capable of making games more immersive and enjoyable.