These 15 artificial intelligence crypto projects are worth focusing on in 2024

From the explosive popularity of ChatGPT to the widespread adoption of AI applications, artificial intelligence technology has evolved from a hot topic in the tech circle to a core engine transforming various industries. In this wave, crypto IA projects that integrate blockchain and AI have become the market’s new favorites. According to the latest data, the total market capitalization of the entire AI crypto IA track has surpassed several billion dollars and continues to expand. These projects not only innovate at the technical level but also explore entirely new business models in practical applications.

Why Focus on AI crypto IA Projects?

Traditional AI applications face pain points such as data silos, trust issues, and high costs. By combining AI with blockchain, crypto IA projects leverage features like decentralization and smart contract automation to break down these barriers. These projects cover multiple tracks including data trading, computing resource sharing, intelligent investment, and privacy computing, almost spanning the entire stack ecosystem from infrastructure to application layer.

Market Overview: The AI crypto IA Ecosystem

Recent data shows that the following projects represent the mainstream directions and the most active market segments in the current AI crypto IA field:

Data and Index Projects

1. The Graph (GRT) - Circulating Market Cap: approximately $432.25M

As a representative of blockchain data infrastructure, The Graph organizes massive, unordered on-chain data into easy-to-use subgraphs. As of April 2023, the project has created over 3,000 subgraphs, deployed by thousands of developers, becoming an important gateway for Web3 application data queries. Its AI optimization capabilities make data retrieval and analysis more efficient.

2. Ocean Protocol (OCEAN) - Building a New Order of Data Flow

Based on Ethereum, Ocean Protocol aims to establish a platform for data trading and monetization. Its innovation lies in separating data ownership from usage rights, allowing data providers to retain ownership while earning usage revenue. This model opens up new collaboration possibilities for research institutions, startups, and data scientists.

3. Covalent (CQT) - The “Glue” for Multi-Chain Data Aggregation

Covalent aggregates data from multiple blockchains such as Avalanche, Ethereum, Polygon, and more, providing standardized API interfaces for developers. Its advantage is not only in consolidating multi-chain information but also in generating personalized investment performance analysis reports, which is significant for digital upgrading of traditional financial services.

Computing Resources and Cloud Services

4. Render Token (RNDR) - P2P Market for GPU Power

With a circulating market cap of about $920M, Render enables artists to purchase rendering power on demand via GPU networks, while resource providers earn RNDR tokens as incentives. Its significance lies in pooling dispersed computing resources, lowering the barrier for professional creative work.

5. iExec (RLC) - Returning Cloud Computing Power to Users

With a circulating market cap of about $47.70M, iExec promotes an aggressive resource sharing model. Users can rent out their computing performance or purchase others’ computing power to run AI models, data analysis, and other tasks. The project claims to be the first platform truly supporting on-chain execution of ML models.

6. Phala (PHA) - Pioneering Privacy Computing

With a circulating market cap of about $31.88M, Phala introduces AI-enhanced privacy protection into cloud computing. Using Trusted Execution Environment (TEE) technology, users can run sensitive computations in a fully private sandbox, which is highly meaningful for data-sensitive industries like finance and healthcare.

AI Application and Service Layer

7. Artificial Superintelligence Alliance (FET) - Operating System for Autonomous Agents

With a market cap of approximately $632.97M, FET has built an open platform allowing developers to create autonomous intelligent agents capable of communicating and collaborating to solve complex problems. From predictive modeling to decision support, this system has broad application potential in DeFi and traditional business.

8. SingularityNET (AGIX) - The “Taobao” for AI Services

A decentralized marketplace for AI algorithms and models. Anyone can list their AI applications and data models, with AGIX tokens serving as the universal payment and governance tool within this ecosystem, gradually building the infrastructure for AI democratization.

9. Artificial Liquid Intelligence (ALI) - Circulating Market Cap: about $27.91M

The Alethea platform behind ALI uses the CharacterGPT protocol to enable users to generate interactive AI character NFTs through text descriptions. The innovation lies in binding AI-generated content with blockchain ownership, creating a new category of digital assets.

Industry Application Innovation

10. dKargo (DKA) - Blockchain Solution for Logistics Trust Issues

With a circulating market cap of about $31.07M, dKargo is reconstructing the logistics industry with AI and blockchain. Through smart contracts and transparent data records, trust barriers among participants are eliminated, and the efficiency of the entire logistics network is expected to significantly improve.

11. Numeraire (NMR) - Circulating Market Cap: about $83.77M

Numerai has been a pioneer in AI-driven investing since 2015. It crowdsources data scientists’ prediction models and aggregates these into a “meta-model” to guide trading decisions. NMR tokens serve not only as participant collateral but also as a core part of the incentive mechanism.

12. Injective (INJ) - Circulating Market Cap: about $515.30M

Injective positions itself as “the blockchain born for finance.” Its modular design and open interoperability attract many developers to build innovative DApps on its platform. The INJ token’s multifunctionality (governance, validation, developer incentives) creates a complete value cycle.

Small but Promising Projects

13. Cortex (CTXC) - The First Platform Supporting On-Chain AI Execution

A technological breakthrough. Cortex allows developers to upload and run machine learning models directly on the blockchain without relying on off-chain inference. This opens the door for fully decentralized AI applications.

14. Hera Finance (HERA) - Circulating Market Cap: $20M

Hera uses the Pathfinder algorithm to help DeFi users discover optimal trading paths. The application of machine learning in price and liquidity analysis enables ordinary traders to gain professional-level market insights.

15. Oasis Network (ROSE) - Circulating Market Cap: about $100.05M

As a privacy-focused Layer 1 blockchain, Oasis separates consensus and computation layers, providing a high-privacy, high-throughput environment for AI applications. This architecture is especially friendly to AI services that need to handle sensitive data.

The Future of AI and crypto IA: Integration or Divergence?

Current market signals are clear: the combination of AI and blockchain is not short-term hype but a long-term trend. As AI’s performance in precise decision-making becomes increasingly impressive, AI-based crypto IA projects will become the most imaginative part of the entire Web3 ecosystem. However, investors should be aware that this track is still in its early stages, intertwined with technical, market, and regulatory risks.

Before participating in any AI crypto IA project, thorough due diligence is essential to understand the project’s real application scenarios and long-term competitiveness. The market is never short of concepts; what is scarce are projects that truly solve problems and create value.