Roblox has launched a new AI-driven feature called 'Build' on its mobile app that allows users to generate simple games from natural language text prompts. This tool leverages a mix of open-source and proprietary AI technologies to simplify game creation for users without coding experience, as it enters public alpha testing later this month.

  • Build converts text prompts into playable games on mobile.
  • Roblox plans quality control through player retention metrics.
  • Public alpha begins July 28 for New Zealand users aged 9 and older.

What happened

Roblox announced the launch of 'Build,' a new feature integrated into its mobile app designed to let users create games simply by typing text descriptions. The system uses a broad set of AI models, including both open-source frameworks and proprietary technology developed by Roblox, to generate basic game components such as gameplay mechanics, environments, characters, visuals, and sounds.

The feature enables users with no programming skills to bring their gaming ideas to life quickly. For example, a prompt like 'Let’s make a cozy adventure game set in a dense forest' generates an initial playable game that users can edit and share. Build will begin public alpha testing in New Zealand on July 28, allowing players aged nine and older to experiment with the tool, while users 16 and above can publish their games globally.

Why it matters

This launch reflects the growing influence of AI in democratizing content creation within gaming, positioning Roblox as a key player in making game development accessible to a broader audience. By lowering technical barriers, Roblox aims to accelerate creativity across all user experience levels, potentially expanding its creator base and diversifying the types of games available on the platform.

However, the initiative stirs debate within the gaming community. Many developers worry that the influx of AI-generated games might saturate the market with lower-quality or repetitive titles, which could decrease visibility and revenue for traditional creators. Survey data from the Game Developers Conference this year shows that more than half of game industry professionals view generative AI’s impact as negative, reflecting these concerns.

What to watch next

Roblox plans to counterbalance potential quality issues by ranking AI-generated games based on player retention metrics, similar to its existing discovery algorithms for traditional games. Games that fail to maintain player interest will receive lower visibility on the platform, aiming to minimize exposure to 'AI slop' and preserve overall game quality on the homepage.

Beyond Build, Roblox is actively developing further AI tools that assist creators, including AI agents for playtesting and analytics, as well as new models to generate entire three-dimensional game scenes from text prompts. The rollout of these tools in the coming months will be critical to watch as they could shape the future of game creation workflows and community dynamics on Roblox.

Source assisted: This briefing began from a discovered source item from TechCrunch AI. Open the original source.
How SignalDesk reports: feeds and outside sources are used for discovery. Public briefings are edited to add context, buyer relevance and attribution before they are published. Read the standards

Related briefings