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Learn/Top AI Crypto Projects to Watch in 2025 and Beyond

Top AI Crypto Projects to Watch in 2025 and Beyond

4 weeks ago4 minutes read
Faceless cubic robot rendering AI-driven blockchain computational power

The global blockchain AI market was valued at $230 million in 2021 and is expected to reach $980 million by 2030. As we look to 2025, the intersection of AI and blockchain is set to revolutionize how we interact with technology. In this article, we’ll dive into the top AI crypto projects that should be on your radar this year.

1. Fetch.ai

Fetch.ai is a decentralized machine learning platform that enables the creation of autonomous agents. These agents work together to solve complex problems and complete tasks, all within a decentralized network. Fetch.ai is transitioning to a more robust ecosystem with its upcoming merger into the Artificial Superintelligence Alliance, where the Fetch.ai token (FET) will be renamed to ASI.

Learn more about Fetch.ai in this guide

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Key Features of Fetch.ai:

  • Autonomous Agents: These are at the heart of Fetch.ai. They can perform tasks like optimizing energy grids or coordinating transportation systems without needing a central authority.
  • Machine Learning Integration: Fetch.ai uses machine learning to enhance the decision-making capabilities of these agents, allowing them to learn and adapt over time.
  • Merger and Token Transition: In a strategic move to form the Artificial Superintelligence Alliance with Ocean Protocol and SingularityNET, Fetch.ai will transition its FET tokens to ASI tokens to enhance the scalability and interoperability of its network within the decentralized AI space.
  • Real-World Applications: From supply chain optimization to smart cities, Fetch.ai’s technology is already being applied in various sectors.

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Use Cases of FET

The Fetch.ai (FET) token serves multiple roles within the Fetch.ai ecosystem:

  1. Payment and Fees: FET is used for paying services and transaction fees on the Fetch.ai network.
  2. Staking and Rewards: Users can stake FET to secure the network via its Proof-of-Stake (PoS) consensus.
  3. Native Operations on Mainnet: On the Fetch.ai Mainnet, the native FET token is essential for all activities, which eliminates the need for other network tokens like ETH or BTC.
  4. Interoperability: Both ERC-20 and native FET tokens currently coexist to allow easy transfer between the two and enable a wide range of exchange options.

2. NEAR Protocol

NEAR Protocol is built to support high-performance dApps with a particular emphasis on AI-driven solutions. Its architecture is designed for scalability, ensuring that even as demand grows, the platform remains fast and efficient.

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Key Features of NEAR:

  • High Throughput: NEAR’s sharding technology allows it to process thousands of transactions per second.
  • User-Friendly Development: NEAR makes it easy for developers to build and deploy dApps.
  • AI Integration: Whether it’s powering AI-driven finance apps or predictive analytics, NEAR has the infrastructure to support AI blockchain projects.

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Use Cases of NEAR

The NEAR token is the native utility token of the NEAR Protocol. Key use cases for NEAR include:

  1. Transaction Fees and Storage: NEAR is used to pay for transaction fees and data storage on the NEAR network to supportits decentralized applications (dApps) ecosystem.
  2. Staking and Network Security: Token holders can stake NEAR to participate as validators or delegate their tokens to other validators, contributing to network security and earning rewards.
  3. Incentives for Developers and Validators: NEAR tokens are rewarded to validators for securing the network and to developers for creating smart contracts.
  4. Interoperability and Token Transfers: The NEAR Protocol supports wrapped tokens from other blockchains and has established a bridge with Ethereum.

3. Render Network

Render Network is a decentralized platform that provides access to GPU rendering power. By utilizing idle GPU compute capacity, the network enhances capital efficiency and rewards GPU providers for their contributions. This is crucial for AI projects, especially those that require significant computational resources for tasks like training machine learning models or rendering complex 3D scenes.

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Key Features of the Render Network:

  • Decentralized GPU Computing Power: The Render Network offers nearly unlimited GPU computing power. This is achieved by connecting them to high-performance GPU nodes around the world.
  • Cost Efficiency and Speed: By creating a blockchain marketplace for idle GPU compute power, the network allows artists to complete rendering tasks at a fraction of the cost and at speeds much faster than traditional centralized GPU cloud services.
  • Network Scalability: The Render Network’s decentralized global infrastructure is built to handle the exponential computing demands required for next-generation 3D rendering.
  • Efficient Infrastructure: While most GPUs remain idle when not in use locally, the Render Network efficiently coordinates the global supply and demand for GPU compute power.
  • Digital Rights Management: The network offers advanced digital rights management through on-chain traceability of a node-based render graph to secure property rights for next-generation immersive media and AI.

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Use Cases of RENDER

The RENDER token powers the Render Network. Key use cases for RENDER include:

  1. Payment for GPU Rendering: RENDER is used to pay for GPU compute power on the Render Network. The token facilitates the exchange of services between users contributing GPU power (Node Operators) and those requiring rendering tasks (Creators).
  2. Earning Rewards for GPU Providers: Individuals or businesses with unused GPU power can join the Render Network as Node Operators and earn RENDER tokens by providing their computational resources for rendering tasks. 
  3. Purchasing RENDR Credits: While RENDER remains the primary medium of exchange, the network also offers RENDER Credits for those who prefer to purchase rendering power using traditional payment methods, like PayPal and Stripe. These credits are non-exchangeable and can only be used on the network.

4. Cortex

Cortex is the first decentralized world computer capable of running AI and AI-powered dApps directly on-chain. By utilizing the Cortex Virtual Machine (CVM), which is EVM-compatible, Cortex allows developers to integrate AI into smart contracts and dApps with ease, using the familiar Solidity programming language.

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Key Features of Cortex:

  • Cortex Virtual Machine (CVM): The CVM is a key innovation of the Cortex platform. It’s EVM-compatible but goes further by adding support for on-chain AI inference. Unlike traditional blockchains that rely on CPUs, Cortex utilizes GPUs to execute complex AI models.
  • AI Inference Engine - Synapse: Cortex's Synapse engine guarantees deterministic AI inference results across different computing environments. This ensures that AI-powered smart contracts deliver consistent outcomes.
  • AI Smart Contracts and AI DApps: Cortex empowers developers to create AI-enhanced smart contracts and dApps that can adapt to real-world use cases. By leveraging the Cortex storage layer, developers can access off-the-shelf AI models to integrate directly into their applications.
  • Decentralized AI Research: Cortex fosters an open-source ecosystem where AI researchers and developers are incentivized to share their models on the blockchain. 

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Use Cases of CTCX

CTXC is the native utility token of the Cortex blockchain, which enables on-chain execution of AI models and provides various unique use cases:

  1. Payment for Computational Resources: CTXC is used to pay for computational resources on the Cortex Virtual Machine (CVM), where AI models are executed on-chain. 
  2. Transaction Fees and Network Security: Cortex charges a fee, called endorphin, per computational step executed in a contract to prevent network abuse. These fees, paid in CTXC, are distributed among miners and AI model providers.
  3. Mining Rewards: CTXC tokens are rewarded to miners who contribute computing power to maintain and secure the Cortex network. This includes a fixed block reward of 7 CTXC for mining each new block.

5. Bittensor

Bittensor is an open-source platform that facilitates the production of digital commodities within distinct subnets, each dedicated to a specific type of commodity. These subnets operate outside the blockchain in off-chain competitions where only the best producers are rewarded. 

Subnet validators initiate competitions, while subnet miners compete to produce the highest quality digital commodities. The Bittensor blockchain, known as Subtensor, operates on decentralized validation nodes, similar to other blockchains.

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Key Features of Bittensor:

  • Decentralized Digital Commodities: Bittensor enables the creation of diverse digital commodities such as machine intelligence, compute power, and more. These commodities are produced in subnets and rewarded with TAO based on their quality and competitiveness.
  • Subnet Architecture: Each digital commodity category is managed within its subnet, where off-chain subnet validators and miners compete to deliver the best products. The top performers are rewarded based on the on-chain Yuma Consensus, which determines the TAO distribution.
  • Peer-to-Peer Intelligence Market: Bittensor introduces a new kind of market where intelligence is priced and ranked by other intelligence systems in a decentralized, peer-to-peer manner.
  • Open-Source Tools and Documentation: The Opentensor Foundation provides comprehensive open-source tools, a codebase, and step-by-step tutorials.

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Use Cases of TAO

TAO is the native token of the Bittensor network. Here are its primary use cases:

  1. Incentivizing Machine Intelligence Development: TAO tokens reward developers who contribute valuable machine learning models to the network.
  2. Payment for AI Services: TAO tokens serve as a medium of exchange within the Bittensor network, enabling access to advanced AI services and models. 
  3. Proof-of-Intelligence Consensus Mechanism: TAO is earned by nodes contributing valuable machine learning outputs through the network’s Proof-of-Intelligence mechanism. The more accurate and valuable the output of the node is, the higher chance it gets of being selected to add a new block and get rewarded with TAO.

6. The Graph

The Graph is a decentralized protocol that enables developers to create applications without running their own data servers or building indexing infrastructure. It simplifies access to blockchain data through the use of subgraphs, which are open APIs designed to organize and serve this data efficiently. 

By tapping into The Graph's competitive data market, developers can drastically cut down on costs and improve their application's uptime and performance. With The Graph, you can build faster, spend less, and increase the resilience of your applications—all without the need for complex infrastructure. 

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Key Features of The Graph:

  • Zero Server Management: Eliminate the need for managing your own data servers or infrastructure. The Graph handles all the backend complexity for you.
  • Cost-Efficient Data Access: Drastically reduce your monthly expenses by 60-98% by leveraging The Graph’s decentralized data market.
  • Unmatched Uptime: Enjoy 99.99%+ uptime to ensure that your application remains accessible and its data flows continuously.
  • Industry-Leading Subgraphs: Utilize subgraphs, The Graph’s open APIs, to access organized and indexed blockchain data quickly.

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Use Cases of GRT

GRT, the native token of The Graph Network, serves several critical functions in its decentralized ecosystem:

  1. Data Coordination and Access: GRT is used to incentivize and coordinate data providers and consumers. It enables easy and efficient access to blockchain data for developers, dApps, and end users, similar to how Google indexes the web. Users pay GRT for the queries they make.
  2. Earning Rewards: Network participants like Delegators, Curators, and Indexers earn GRT rewards. Delegators earn by staking GRT with Indexers, while Curators earn by identifying valuable subgraphs. Indexers earn rewards through query fees and indexing rewards.
  3. Data Curation and Validation: GRT supports the validation and organization of blockchain data. Curators signal GRT on high-quality subgraphs to ensure accurate data indexing, which helps developers build more efficient decentralized applications.

7. iExec 

iExec is empowering developers to build, own, and monetize in the Web3 space with a decentralized protocol that puts control back in the hands of users. It provides a robust set of tools that allow developers to take full advantage of the decentralized Web3 environment. 

With iExec, you can protect the privacy of your data, ensure the ownership of digital assets, and implement monetization mechanisms—all while integrating seamlessly into your dApps.

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Key Features of iExec:

  • Trusted Execution Environment (TEE): iExec’s developer tools provide transparent access to a TEE infrastructure (Intel SGX) to ensure that your application's execution remains secure and unaltered by external threats.
  • Confidential Computing: With Confidential Computing, iExec protects your data during processing, offering end-to-end encryption that guarantees your applications’ data remains private—even from the node owner.
  • Data Ownership via NFTs: iExec natively supports NFTs, allowing you and your users to truly own and control digital assets. You can sell, rent, subscribe, or implement user-centric monetization schemes with ease.
  • Monetization of Code: iExec integrates monetization schemes directly into the protocol to enable developers to earn cryptocurrency every time their app is used.
  • Developer Flexibility: Unlike other privacy solutions, iExec’s protocol is compatible with popular programming languages like Rust and JavaScript, allowing developers to work in the languages they are most comfortable with.

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Use Cases of RLC

RLC, the native token of the iExec network, is used for several purposes within its decentralized computing ecosystem:

  1. Payment for Computing Resources: RLC is the standard currency used to pay for computing power on the iExec network. Users can access computational resources on a pay-per-task basis, paying for the exact amount of computing power they need.
  2. Running Decentralized Applications (dApps): Developers use RLC to run applications on the iExec network. To run a dApp, a developer must stake enough RLC to cover the cost of the required computational resources.
  3. Consensus and Trust Mechanism: The Proof-of-Contribution (PoCo) protocol uses RLC to secure the network and ensure fairness. Stakeholders lock RLC tokens to participate, and penalties or rewards are determined based on their performance and adherence to network rules.

8. ChainGPT

ChainGPT is a versatile AI platform tailored specifically for blockchain and cryptocurrency applications. It empowers users to create, audit, and deploy smart contracts, engage in advanced AI trading, access blockchain analytics, and even generate NFTs—all powered by AI. 

ChainGPT is backed by its native utility token, CGPT, which is essential for accessing the platform's premium features and participating in its governance ecosystem.

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Key Features of ChainGPT:

  • Smart Contract Development and Auditing: ChainGPT’s AI enables users to generate and audit Solidity smart contracts effortlessly. 
  • Advanced AI Trading: ChainGPT offers AI-driven tools for technical analysis and trading strategies. The platform's sophisticated AI models help traders, both new and experienced, implement and execute advanced crypto trading strategies effectively.
  • Blockchain Analytics: ChainGPT provides on-chain data insights and analytics powered by AI. These tools help detect trends, anomalies, and potential risks.
  • Web3 AI Chatbot: ChainGPT includes a reliable and fast AI chatbot designed to answer any blockchain or crypto-related questions. 
  • Oracle Factory: Create custom oracles that connect your smart contracts to real-world data sources in just minutes. This feature is vital for developers looking to integrate external data into their blockchain applications.

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Use Cases of CGPT

CGPT is the native utility token of the ChainGPT ecosystem, serving multiple purposes that drive its use and value:

  1. Access to AI Tools and Services: CGPT tokens are essential for accessing ChainGPT's suite of AI-powered tools, such as smart contract generation, auditing, AI chatbot, AI news aggregation, trading assistant, cross-chain swaps, and NFT generation.
  2. Staking and Farming Benefits: Staking CGPT tokens unlocks various rewards, including APY earnings, tier benefits on ChainGPT Pad, exclusive airdrops, access to NFT releases, and other ecosystem perks.
  3. Governance and Voting Power: CGPT functions as a governance token within the ChainGPT ecosystem, which holders voting rights in its DAO to propose, vote, and decide on important decisions and fund allocations.
  4. Payments and Transactions: CGPT is used for payments and transactions within the ChainGPT ecosystem.

Conclusion

AI is transforming the crypto space, and these AI blockchain projects are at the forefront of this revolution. As we move further into 2025, keeping an eye on these crypto AI projects could be the key to understanding the future of both AI and blockchain technology. 

AI Crypto Projects FAQs

What is the best AI project for crypto?

The best AI projects for crypto include Fetch.ai, Bittensor, NEAR Protocol, and Render Network. Fetch.ai is known for its decentralized platform that enables autonomous agents to perform tasks across various industries. Bittensor creates a decentralized market for machine learning models, while NEAR Protocol focuses on scalable blockchain solutions with AI integration. Render revolutionizes 3D content creation with its decentralized GPU rendering.

How is AI used in crypto?

AI is used in crypto to enhance trading strategies, automate smart contracts, and improve security. It powers predictive models for market analysis, helps identify fraudulent transactions, and optimizes blockchain efficiency. Additionally, AI can be integrated into decentralized applications (dApps) to create more intelligent and responsive systems.

Is AI crypto a good investment?

AI crypto can be a good investment for those looking to diversify their portfolio with cutting-edge technology. These projects often bring innovation by combining AI and blockchain, potentially leading to significant growth. However, as with any investment, it's crucial to research and consider the risks involved before investing.

Which crypto coins are based on AI?

Several crypto coins are based on AI, including Fetch.ai (FET), ChainGPT (CGPT), and Cortex (CTXC). These projects use AI to enhance various aspects of blockchain technology, from automating tasks to improving data management. Each of these coins plays a unique role in integrating AI with decentralized systems.

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