The Top AI Crypto Projects for 2024

Blockchain and AI — the combination set to take over the industry and help bring crypto to the mainstream. The total value of AI crypto assets rose by over 110% in February 2024 alone.

However, if you were to ask the casual investor to name a crypto project using AI, you’ll probably you’ll probably get blank stares or uncertain answers. 

Despite the growing prominence of AI in crypto, there have yet to be any projects to announce themselves as prominent names among general investors. 

This is set to change as we head deeper into 2024.

Here a a few of the top AI crypto projects ready to announce themselves as big players in the industry:

1. Render (RNDR)

Render (RNDR) is utilizing AI in order to decentralize GPU computing power. It allows people to contribute their unused GPU power to a decentralized marketplace for people to rent.

This unique system addresses the challenges of scaling cloud rendering and computing work, making advanced rendering more accessible for the growing demands of digital artists and creators. 

It unlocks the full productive potential of decentralized GPU computing to power 3D content creation and artificial intelligence.

The network is designed for exponential increases in computing scale — something that is essential as the popularity of more complex “next-generation” 3D rendering grows. 

This scalability is also crucial for the increasing content demands in the immersive media, augmented reality, mixed reality, gaming, medical, and virtual reality sectors.

Moreover, Render’s digital rights management approach introduces a new way to authenticate digital content. Creators can manage the digital rights to their work using on-chain traceability. This protects the intellectual property of creators while providing a level of transparency and security not possible with traditional systems.

2. (FET) (FET) integrates AI into blockchain through machine learning (ML).  It is designed to facilitate a decentralized digital economy where digital entities, known as “Autonomous Economic Agents (AEAs)”, autonomously perform economic activities such as transactions, negotiations, and collaborations. aims to create a world where businesses can use digital representations to indipendently perform tasks like basic data storage, operation processing, and providing real-time logistical solutions.’s blockchain architecture is high-throughput, scalable, flexible, and tailored to support the computational tasks and decision-making processes needed for AI systems. It employs a unique consensus mechanism designed to maintain efficiency and speed, even as the network grows. 

The FET token, native to the network, is used to access the network’s computational resources, conduct transactions, and incentivize activities within the ecosystem.

Applications of span multiple industries, including supply chain and logistics, transportation, finance, and smart cities. 

For example, in the supply chain sector, AEAs can autonomously manage and optimize operations as well as predict supply and demand — reducing waste and increasing efficiency. 

In finance, developers could utilize to create autonomous trading agents that execute trades based on AI predictive models, potentially improving market efficiency and liquidity.

3. Ocean Protocol (OCEAN)

Ocean Protocol utilizes AI and the Ethereum blockchain to create a secure and transparent environment for data exchange. 

At the heart of Ocean Protocol is the concept of “data tokenization.” This is done through the use of unique data tokens (datatokens) that represent users’ ownership over their data. 

These data tokens provide “permissions” that safeguard user data and allow users to control who accesses their information based on their preferences.

Users can also choose to list their datatokens on the Ocean Market, where they can be traded for OCEAN (ocean protocol’s native cryptocurrency), monetizing their data while still ensuring security.

OCEAN tokens serve multiple functions within the ecosystem. It is used for purchasing datatokens, participating in governance decisions through voting, and staking by token holders. 

4. Numerai (NMR)

Established in 2015, Numerai was one of the first-ever projects to integrate AI with blockchain. A hedge fund based on Ethereum, this groundbreaking project is focused on allowing developers and data scientists to leverage AI to create machine-learning models for stock market predictions.

The platform hosts a network of over 5,500 data scientists who stake Numerai’s native token (NMR) on their predictive models in weekly Numerai tournaments. This mimics the incentivization of traders, rewarding data scientists for building models that perform well on the provided datasets and penalizing them with token loss for poor predictions.

This approach relies heavily on AI-generated data predictions, making it one of the few hedge funds to do so. This strategy has led to the fund outperforming traditional hedge funds, with a reported 20% return for investors during financial downturns when most of the sector struggled.

Numerai has also expanded into decentralized finance (DeFi) with the introduction of Erasure, a decentralized marketplace that allows users to buy and sell predictions and data over the Ethereum blockchain.

5. Golem (GLM)

Golem Network is an open-source, decentralized platform where users can share and access computational resources. 

The platform allows users to earn income from their unused computing power. By contributing their unused CPU or GPU power to Golem’s “computing power pool”, users earn rental fees. 

These rental fees come from users who need the extra power to execute resource-intensive tasks, but don’t want to purchase the required (expensive) hardware. 

The essence of Golem’s mission is to create a community-driven environment that challenges the traditional centralized models of computational resource allocation.

The network’s infrastructure is built on interconnected nodes that follow the Golem protocol, creating a peer-to-peer network where users can rent out their computational resources for various tasks. 

In comparison to competing networks like Filecoin and Internet Computer, Golem distinguishes itself by focusing specifically on decentralized computing.  The network is optimized for performing tasks such as rendering, scientific simulations, and CPU/GPU-intensive computations.

The Golem Network’s native token, GLM, serves as a medium of exchange within the ecosystem. It is used for transactions between providers (those offering computational resources) and requestors (those who use these resources). 

How to Invest in AI Crypto Projects

You can invest in 2024’s top AI Crypto projects in just a few clicks through Bake’s “AI’s Future Five” Bundle

The bundle gives you an optimized share in the top 5 projects utilizing AI across different sectors.

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