AI agents are trending, here are 12 AI-driven Web3 games.

CN
4 hours ago

The combination of AI and Web3 technology makes game development more convenient than ever.

Author: Conglomerate | thecoreloop

Compiled by: Deep Tide TechFlow

AI is currently a hot topic in the crypto space, but its integration with Web3 games is still in its infancy. After hours of research, I have identified areas that could generate real value. Here are my key findings.

Overview

  • A Brief History of AI and Games

  • How Current Web2 Game Companies Utilize AI

  • The Next Chapter of AI Games: From Web2 to Web3

  • AI and Web3 Game Projects

  • Key Trends of AI in Web3 Games

A Brief History of AI and Games

Games have always been an ideal testing ground for artificial intelligence. Their unique responsiveness, ever-changing objectives, and real-time environments make them perfect for advancing AI technology. Early AI development faced significant obstacles, requiring preset rules or simplified environments to function. However, these limitations spurred creative solutions, and games became the perfect stage for progress.

2015 was a pivotal moment: an AI agent mastered 49 Atari games solely through pixels and scores, achieving performance on par with professional human players. This breakthrough demonstrated that AI could learn naturally in complex environments, laying the groundwork for today’s AI revolution.

From arcade AI to autonomous agents: games have transformed from simple computer opponents to self-learning characters owned by players in the Web3 era.

How Current Web2 Game Companies Utilize AI

Building on this foundation, leading game companies are implementing AI technology in innovative ways.

  • Roblox (announced in February 2023): Revolutionized user-generated content (UGC) in games by integrating generative AI, helping 58.8 million daily active users create 3D models and code through simple prompts.

  • Sony AI (announced in November 2019): Focused on foundational AI research to enhance Sony's gaming business.

  • King (active since 2017): Pioneered the use of AI in game development through its AI lab, particularly using game testing bots, which reduced manual level adjustments in Candy Crush Saga by 95% and increased development speed by 50%.

The Next Chapter of AI Games: From Web2 to Web3

AI has already demonstrated its transformative value in gaming, reshaping how games are built, played, and experienced. While Web2 giants continue to innovate, the crypto gaming space remains underdeveloped, presenting enticing opportunities for AI-driven advancements.

In the following sections, we will explore some pioneering projects leading this transformation, combining AI and Web3 to redefine the future of gaming.

AI and Web3 Game Projects

  1. AI Arena // @aiarena_ // $NRN

    1. Players train AI-driven NFT warriors through imitation learning and analyze and enhance character performance using the AI Inspector tool, preparing for automated PvP battles.

    2. Read: How AI Arena is Levelling the Playing Field

  2. AI Waifu // @aiwaifugg // $WAI

    1. A fantasy character platform that supports personalized dialogue, comic generation, and voice interaction powered by AI, covering hundreds of community-created characters and scenes.

    2. Read: AI Waifu: Replacing OnlyFans

  3. Avarik Saga // @avariksaga // $AVRK

    1. A mobile RPG game where AI-driven demigods interact with players in-game and through conversations powered by large language models in popular messaging apps.

    2. Read: How Bloodlink Works

  4. Colony // @ParallelColony // $PRIME

    1. An AI-driven strategic survival simulation game where AI entities called "Avatars" continuously learn from their surrounding environment.

    2. Read: ‘Parallel’ Creator Explains ‘Colony’ AI Game

  5. Delysium // @The_Delysium // $AGI

    1. Initially a battle royale MMORPG with AI virtual creatures; now building Lucy, an AI-driven Web3 operating system on the YKILY network.

    2. Read: The Future of AI is Decentralized: Delysium Partners with Microsoft to Drive AI Mainstream on Blockchain

  6. Gabby World // @gabby_world_ // $GABBY

    1. The first fully autonomous AI world where all elements—from characters to storylines—are generated on-chain through user-created prompts.

    2. Read: Reintroducing Gabby World: The First AIGC Autonomous World

  7. GameGPT // @Gamegptofficial // $DUEL

    1. Provides an AI-driven game builder that empowers creators to develop games quickly and collaboratively, democratizing the creative process and unlocking immersive experiences at unprecedented speeds.

    2. Read: GameGPT, PAAL, and a New Era of Gaming Driven by AI

  8. Genopets // @genopet // $GENE

    1. A "move-to-earn" game where every step energizes AI-driven digital pets, converting physical activity into game progress and valuable AI training data.

    2. Watch: Generalization: The Release of Game Agents

  9. henlo kart // @henlokart // n/a

    1. A hamster racing mini-game launched by the Onchain General Intelligence (OGI) network, a decentralized platform supporting the creation, training, and deployment of open, decentralized AI entities.

    2. Read: henlo kart x onchain gaias

  10. Oasis // @Etched // n/a

    1. The first fully AI-generated game world where players can explore, build, and destroy endless varieties of procedural environments powered by advanced AI rendering technology.

    2. Read: Oasis: The First Playable AI-Generated Game

  11. onchain gaias // @onchaingaias // n/a

    1. General Artificial Intelligence Agents (GAIAs) introduce decentralized, player-trained AI entities into games, allowing users to shape, train, and benefit from agents within a community-driven ecosystem.
  12. Today// @todaythegame // n/a

    1. A social simulation game where AI-driven island residents create unique personalized interactions and drive a player-owned virtual economy.

    2. Read: AI is Reshaping Gaming

Note: This overview is based on current research and represents a selection of AI and Web3 game projects, not an exhaustive list. The information provided is for educational purposes only and should not be considered financial advice.

Conclusion

AI and Web3 are fundamentally reshaping the gaming landscape, providing players with personalized experiences that empower them to actively shape virtual worlds. We are moving beyond basic AI functionalities into fully autonomous environments where every player's decisions have an impact, transforming players from passive consumers into capable participants.

Projects like AI Waifu and Today are not just entertainment platforms; they are evolving into social ecosystems where AI-driven characters create profound personal connections and drive player-owned economies. The integration of AI training through gaming, as seen in Genopets and AI Arena, further emphasizes this shift towards player-centric value creation.

Perhaps most importantly, the combination of AI and Web3 technology makes game development more convenient than ever. Projects like GameGPT and Oasis demonstrate how AI tools can break down traditional creative barriers, allowing anyone to participate in building these new virtual worlds. This shift, along with the rise of autonomous AI entities and player-owned data, indicates that we are witnessing the early stages of a gaming revolution, where the boundaries between players, creators, and AI blur, forming a single, dynamic ecosystem.

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