AI and Cryptocurrencies in 2024: Which Tokens Are Gaining Momentum

After the release of ChatGPT, a wave of interest in artificial intelligence has swept not only the tech sector but also the cryptocurrency market. Projects combining blockchain with machine learning technologies are experiencing a period of active growth. By October 2023, the AI-cryptocurrency segment’s market capitalization reached $6.3 billion — and this is far from the limit.

Why AI and blockchain perfectly complement each other

Cryptocurrency and artificial intelligence are not just trendy trends. Their integration solves real problems:

• Security: AI algorithms enhance the protection of decentralized networks
• Scalability: machine learning technologies optimize throughput
• Efficiency: automated systems increase the speed and accuracy of operations
• Accessibility: decentralized AI services are becoming more accessible to users

Tokens based on AI provide access to these services and technologies across various crypto ecosystems — from decentralized exchanges to metaverses and smart contracts.

Leaders in the AI token market

The Graph (GRT) — blockchain data indexing

The project holds a top position by market capitalization — $435.98M. The Graph addresses the challenge of indexing and querying blockchain data, organizing information into subgraphs. This has allowed thousands of developers and decentralized applications to work with data much more efficiently. Over 3000 subgraphs have been created, used in various DApps and DEXs.

Injective (INJ) — Web3 financial revolution

A first-layer blockchain specifically designed for financial DApps. With a market cap of $524.90M, the project offers developers a modular architecture and unprecedented flexibility. The INJ token is used for governance and staking, and developers earn rewards for creating applications. This has made Injective a popular choice for building innovative decentralized exchanges.

Fetch.ai (FET) — next-generation autonomous agents

A decentralized open-source platform for the digital economy. With a market cap of $642.41M, Fetch.ai enables the creation of autonomous AI agents that solve complex tasks — from analytics to predictive modeling. In the ecosystem, bots interact with each other, exchanging information via the native token FET.

Oasis Network (ROSE) — privacy first

A Layer 1 blockchain with a market cap of $102.67M, separating smart contract execution from the consensus mechanism. This has allowed the creation of a platform focused on privacy and data security. Thanks to high throughput and low fees, ROSE is ideal for Web3 applications.

iExec RLC (RLC) — monetization of computing resources

A platform with a market cap of $48.54M that allows users to offer and sell computing power. Through a network of “workers,” the project provides access to cloud resources for AI applications, healthcare, rendering, and fintech. Providers earn RLC tokens for the resources they supply.

Innovative second-layer projects

Artificial Liquid Intelligence (ALI) — character generation

The Alethea project, with a market cap of $27.89M, creates interactive AI characters via the CharacterGPT protocol. The ALI token allows generating NFT characters, participating in the reward system, and conducting transactions on the Ethereum (ERC-20) platform.

Phala Network (PHA) — confidential cloud computing

With a market cap of $32.33M, Phala positions itself as a decentralized alternative to Google Cloud and AWS. The platform ensures true privacy and allows deploying confidential smart contracts within TEE processor enclaves.

dKargo (DKA) — AI in logistics

A project with a market cap of $31.00M that uses blockchain to solve trust issues in the logistics industry. Through collaboration with Web3 services, dKargo creates efficient networks and ensures information authenticity among participants.

Numeraire (NMR) — the first AI hedge fund

Founded in 2015, Numerai was a pioneer in AI finance. With a market cap of $83.90M, the platform aggregates forecasts from thousands of analysts into a meta-model for predicting market movements. The NMR token serves as a staking currency and is used as a reward for accurate predictions.

Additional promising projects

Ocean Protocol offers individuals and companies the ability to exchange and monetize data through the Ethereum ecosystem.

Render Token (RNDR) — a network of GPUs where artists pay for GPU power, and node operators earn RNDR rewards.

SingularityNET (AGIX) allows buying, selling, and monetizing AI services through a single platform.

Cortex (CTXC) enables uploading and executing AI models directly within DApps and smart contracts.

Covalent (CQT) aggregates data from multiple blockchains (Ethereum, Polygon, Avalanche), providing developers with a unified API for cross-chain applications.

Hera Finance (HERA) helps traders find optimal trading paths on DEXs via the Pathfinder algorithm, using machine learning to analyze prices and liquidity.

Development prospects

AI and cryptocurrencies are ceasing to be separate fields — they are becoming one. Blockchain addresses decentralization and transparency, while AI adds intelligence and automation. This combination opens new opportunities across almost all industries.

However, it is important to remember: the cryptocurrency market remains volatile and risky, regardless of AI usage. Before investing, carefully study each project and objectively assess its potential and risks.

Frequently Asked Questions

Which AI token is the best?
Each project has a unique approach to utilizing AI. The choice depends on your goals and investment strategy.

How does cryptocurrency trading with AI work?
AI-based bots analyze market data, execute trades faster than humans, and often deliver better results.

Why does blockchain need AI?
Blockchain provides decentralization, transparency, and security, helping AI applications operate more honestly and reliably.

Will AI tokens grow in the future?
As AI is integrated into various sectors, demand for related crypto solutions will only increase. However, this does not guarantee price growth for specific tokens.