11 Best AI Crypto Coins in 2025: Top Projects to Watch

Cryptocurrencies that have integrated artificial intelligence (AI) or plan to do so are undoubtedly amongst the most popular ones within the industry. However, finding the best AI crypto coins is undoubtedly a challenging task, given the skyrocketing competition that only grows stronger each month.

Projects like OpenAI’s ChatGPT and its numerous alternatives have been making headlines everywhere, inevitably impacting the crypto industry. For many, this is reminiscent of Bitcoin and the early creation of the decentralized finance (DeFi) market.

That’s why, in this guide, we take a closer look at the top AI crypto coins protocols that you should have on your watch list in 2025.

11 Best AI Crypto Coins to Watch This Year: List

• Bittensor (TAO): Best for decentralized AI model training and marketplace.
• NEAR Protocol (NEAR): Best for user-friendly and scalable smart contract development.
• Internet Computer (ICP): Best for hosting web apps and services directly on-chain.
• Render (RENDER): Best for decentralized GPU solutions.
• Artificial Superintelligence Alliance (FET): Best for building decentralized AI ecosystems.
• Story (IP): Best for decentralized intellectual property (IP) tokenization and licensing.
• The Graph (GRT): Best for decentralized blockchain data indexing and querying.
• Virtuals Protocol (VIRTUAL): Best for building and deploying AI agents in Web3 gaming and applications.
• AIOZ Network (AIOZ): Best for decentralized media and content delivery networks (DePIN).
• Arweave (AR): Best for permanent, decentralized data storage.
• Akash Network (AKT): Best for decentralized cloud computing infrastructure.

Quick Navigation

• Best AI Crypto Coins to Watch This Year: List
• Top AI Crypto Coins: Explained
• What Are AI Crypto Projects?
• How to Buy the Best AI Cryptos?
• Why Are AI Cryptos So Popular?
• Is AI Good for Crypto?
• Frequently Asked Questions (FAQs)
• Best AI Crypto Projects: Conclusion

Top AI Crypto Coins: Explained

BitTensor (TAO)

BitTensor is an open-source infrastructure built around a blockchain called Subtensor. It utilizes a unique consensus mechanism called Proof-of-Intelligence (PoI).

This mechanism resembles Proof-of-Work (PoW) by rewarding miners for their valuable contributions across various technology and research domains within the BitTensor network.

BitTensor functions as a decentralized marketplace with multiple subnets, each designed for specific tasks. Unlike parallel chains in systems like Avalanche, these subnets are competitive marketplaces tailored for AI, machine learning, data storage, price feeds, cellular automation, and more.

A notable example of a subnet in BitTensor is Decentralized AI Detection, where miners are incentivized to share findings, solutions, products, tools, and frameworks to help the network detect content generated by large language models (LLMs) like ChatGPT.

Anyone can create a subnet by paying a registration fee in TAO, BitTensor’s native token, and establish incentive mechanisms for miners and validators. Each subnet has validators who assess the quality of miners’ work and reward them with TAO.

BitTensor aims to democratize and commoditize AI and emerging technologies through blockchain technology.

Additional information:

• Founders: Jacob Steeves and Ala Shaabana.
• Background: Steeves (ex-Google engineer); Shaabana (PhD, ex-Assistant Professor at University of Toronto).
• Funding: Backed by Polychain Capital with over $200M invested.
• Milestones: Released BitTensor Language Model (BTLM) with Cerebras.
• Growth: Became a top AI crypto project, supported by DCG, Polychain, and Firstmark.

NEAR Protocol (NEAR)

NEAR Protocol is a layer-1 blockchain designed to provide a scalable and developer-friendly platform for building decentralized applications (dApps). It aims to overcome the limitations of other blockchain networks, such as Ethereum, by offering higher transaction speeds, lower costs, and improved usability.

It uses a unique technology called sharding to enhance its scalability and performance. Sharding involves splitting the network into smaller, manageable pieces called shards, each of which processes a portion of the network’s transactions in parallel. This architecture, known as Nightshade, allows NEAR to handle a large number of transactions per second — potentially up to 100,000 transactions per second (TPS) — while maintaining security and efficiency.

Another notable aspect of NEAR is its consensus mechanism — Thresholded Proof-of-Stake (TPoS).

The TPoS algorithm is quite similar to Delegated Proof-of-Stake (DPoS) in which validators are selected to process transactions and create new blocks based on the amount of NEAR tokens they stake. This system not only secures the network but also ensures decentralization by allowing anyone to participate as a validator. However, there are notable differences that can be read here.

Additional information:

• Founded by Alexander Skidanov and Ilya Polosukhin.
• Skidanov is a former Microsoft engineer and MemSQL Director of Engineering.
• Polosukhin is an AI/ML expert, ex-Google, worked on TensorFlow.
• Secured $1.1 billion in funding from major venture capital firms like ParaFi Capital and Hashed.
• Launched user-owned AI lab in 2024.

Internet Computer (ICP)

Internet Computer Protocol (ICP) is a blockchain network focused on decentralizing the Internet using distributed ledger technology and AI without relying on centralized IT infrastructure. 

All in all, ICP is often called the “World Computer” as it seeks to provide the same internet and its components, like speed, functionality, and scalability while maintaining the decentralization and security of blockchain networks. That said, users can develop and host their applications entirely on its blockchain, leveraging advanced smart contracts called Canisters and using its architecture of independent subnets.

Its native token, ICP, facilitates governance, rewards network participants, and covers transaction fees.

Additional information:

• Founder: Dominic Williams, founder of DFINITY Foundation in 2015.
  
• Background: Williams contributed to decentralized systems and built a successful MMO gaming platform.
  
• Funding: Raised over $160M, with backing from Andreessen Horowitz and Polychain Capital.
  
• Milestones: Launched Chain Key Cryptography for safer blockchain interoperability.
  
• Growth: Partnered with Elliptic, Taurus, Hello Labs, and the UNDP in 2024.

Render Network (RNDR)

Render Network is an Ethereum-based blockchain platform that aims to decentralize GPU cloud rendering by connecting those who need rendering services with owners of high-performance GPUs. It is one of the top Solana projects.

This system enables artists, individuals, and companies to carry out rendering tasks more affordably and quickly than traditional centralized options.

The platform operates as follows: creators submit rendering jobs, and node operators use their spare GPU capacity to complete these jobs and earn RNDR tokens as compensation. Render Network supports a range of tasks, from basic rendering for gaming and entertainment to complex projects involving AI and machine learning.

The protocol also implements a tiered pricing system based on the reputation of node operators. The highest-rated operators fall into tier 1 and are typically the most expensive but offer more reliable and scalable services, often used by Render’s partners.

Tier 2 provides high-quality services at a reduced cost, and Tier 3 offers the most economical options, but reliability and scalability are not the highest-rated. This pricing structure supports the democratization of GPU cloud computing, particularly for Web3 creators, by adapting to various budget needs.

Additional information:

• Founder: Jules Urbach, also CEO of OTOY, Inc.
• Core Team: Includes Kalin Stoyanchev, Joshua Bijak, Charlie Wallace, Phillip Gara, and Jayson Kleinman.
• Funding: Raised $30M in a Seed round in 2021 from Multicoin Capital, Solana Foundation, and others.
• Milestones: Launched OctaneX GPU renderer for iPad.
• Growth: Render Network demand surged 31% in 2023–2024.

Artificial Superintelligence Alliance (FET)

Formed in April 2024, the Artificial Superintelligence Alliance brings forward a decentralized initiative through the merge of some very popular AI crypto projects. These included Fetch.ai, SingularityNET (AGIX), and Ocean protocol. The alliance was later joined by CUDOS.

Its mission is to democratize artificial intelligence by effectively developing open-source infrastructure, integrated through blockchain-based technology to support the creation and deployment of decentralized AI applications. That said, the ASI Alliance is aimed at shifting AI development away from traditionally centralized entities, to promote transparency, inclusivity, and ethical considerations when it comes to AI advancements.

Central to its offerings is the ASI-1 Mini, which is largely touted to be the world’s first Web3-based large language model (LLM). It is designed for autonomous and agentic workflows. This model, alongside other tools such as ASI Compute, ASI Data, and Agentverse, provide a modular and scalable infrastructure for both enterprises and developers to build and deploy AI solutions.

Additional information:

• Founders: Formed by the merger of Fetch.ai, SingularityNET, Ocean Protocol, and CUDOS in April 2024.​
• Background: Aims to decentralize AI development, promoting open-source collaboration and ethical considerations in AI advancements.
• Funding: Primarily supported through tokenomics and revenue from existing products.​
• Milestones: Launched ASI-1 Mini LLM; established interoperable infrastructure across multiple blockchain networks.​
• Growth: Expanded ecosystem with tools like Agentverse, ASI Compute, and ASI Data; active grant programs to support ongoing development.

Story (IP)

The Story Network (a.k. Story Protocol) is described as a purpose-built layer-1 blockchain, which is designed to tokenize intellectual property (IP) into programmable digital assets.

The platform boasts a rather novel framework for IP management. It allows for instant licensing and remixing without the additional legal friction. This approach empowers creators to fully control how their work trains AI models and guarantees fair distribution of revenues.

The ecosystem behind Story also includes tools like their Proof-of-Creativity Protocol, as well as a Programmable IP Licenses, both of which facilitate the transformation of intellectual property into a programmable asset class.

By leveraging transparency into licensing, as well as automated attribution and fair moentization, Story aims to create a secure foundation for innovation, primarily driven by AI and decentralized collaboration.

Additional information:

• Founders: Founded by Seung Yoon Lee, a South Korean entrepreneur known for co-founding Radish, a serialized fiction app acquired by Kakao. Co-founded by Jason Zhao.
• Background: Aims to decentralize IP management, promoting open-source collaboration and ethical considerations in AI advancements.​
• Funding: Raised a total of $140 million over three funding rounds, with investors including A16z Crypto, Polychain Capital, and Samsung NEXT.
• Milestones: Launched the Story Mainnet, introducing a peer-to-peer IP network enabling permissionless exchange, ownership, and monetization across AI and the broader internet.
• Growth: Developed a rich ecosystem for developers and creators, including the Story Academy, which supports and accelerates projects building on the Story platform

The Graph (GRT)

The Graph is a decentralized, open-source indexing protocol that collects, processes, and stores information and data similarly to a web browser like Google.

It allows users to navigate and explore different blockchain ecosystems and their respective dApps. The Graph is also available in at least 14 languages.

One of the key features of The Graph is Subgraphs, which are indices designed to enhance data querying for users across several networks, including EVM-compatible blockchains and even the InterPlanetary File System (IPFS).

Subgraphs can index all public information globally, bridging the gap between Web2 and Web3. This data can be stored, organized, and shared across applications, making it accessible for anyone to query. Naturally, users pay using the protocol’s native coin, GRT.

GRT has one of the largest supplies in the AI sector, with a max supply of 10,799,004,319 tokens and approximately 9.5 billion tokens in circulation.

Additional information:

• Founders: Yaniv Tal, Brandon Ramirez, and Jannis Pohlmann founded The Graph in 2018.
• Background: Tal and Ramirez previously worked at MuleSoft (acquired by Salesforce).
• Funding: Raised over $220M through multiple rounds, including a $205M ecosystem fund in 2022.
• Milestones: Launched Agentc, an open-source AI tool similar to ChatGPT.
• Growth: Introduced the Sunrise Upgrade Program, rewarding users with GRT.

Virtuals Protocol (VIRTUAL)

Virtuals Protocol is a decentralized AI platform built on the Ethereum layer-2 solution Base. It’s essentially a launchpad and marketplace dedicated to developing and interacting with AI agents with distinctive capabilities, creating a dynamic and self-sustaining economy. 

All AI agents within the Virtuals Protocol ecosystem can communicate in multiple ways: text, speech, and even 3D animations, making them adaptable to different environments. They’re also equipped with their own on-chain wallets, allowing them to perform blockchain transactions on behalf of their owners. 

These agents can be tokenized, meaning they can be co-owned by community members. 

VIRTUAL is the governance token and works both on the Ethereum mainnet and Base, being the underlying pillar supporting these three core functions:

1. Liquidity pairing: Every AI agent’s tokens, such as LUNA, pair with VIRTUAL in their respective liquidity pools.
2. Transaction routing: Any purchase of agent tokens, regardless of the currency used, must be routed through VIRTUAL, generating ongoing buy demand.
3. Agent creation: A fixed amount of VIRTUAL is required to launch a new AI agent, linking the token’s utility directly to the platform’s core service.

Additional information:

• Founders: Jansen Teng and Wee Kee.
• Background: Teng (Imperial College London); Kee (London Business School, Web3 experience with Axie Infinity, PathDAO).
• Funding: Raised $16.2M in 2021 from DeFiance Capital, Enjinstarter, and Merit Circle.
• Milestones: Over 15,000 AI agents created, generating $75M+ in revenue.
• Growth: Partnered with Ronin Network, Illuvium, and Animoca Brands; led the AI Agent movement.

AIOZ Network (AIOZ)

AIOZ Network, created by the tech company AIOZ, is a blockchain-based platform that aims to deliver scalable and reliable solutions in Web3 storage, AI computing, live streaming, and video on demand.

The company, founded by Erman Tjiputra, focuses on making AI development more democratic and decentralized through its two main offerings: the W3AI marketplace for AI computation and the Web3 AI Platform, which provides a variety of AI solutions for businesses, developers, and individuals.

AIOZ operates on the Cosmos network and is compatible with BEP and EVM, using a Delegated Proof-of-Stake (DPoS) consensus mechanism powered by Tendermint Core that allows for up to 1,500 transactions per second. Its Decentralized Content Delivery Network (dCDN) utilizes a global network of nodes to provide additional computing power.

The network offers a decentralized marketplace for the Decentralized Physical Infrastructure (DePIN) market, enabling contributors to monetize their AI-related assets and computing resources.

This setup offers competitive costs for cloud computing and allows for the deployment of AI applications, benefiting businesses and developers by providing cheaper alternatives to traditional infrastructures.

Additional information:

• Founders: Erman Tjiputra and Quang D. Tran.
  
• Background: Tjiputra (entrepreneur, software/blockchain); Tran (AI and Machine Learning projects).
  
• Funding: Raised $1.35M through private sale and ICO in 2021.
  
• Milestones: First DePIN project listed on Nvidia’s Accelerated Applications Catalog.
  
• Growth: Launched AIOZ Node V3, expanding to 160,000 network nodes with enhanced GPU/CPU access.

Arweave (AR)

Arweave is a decentralized, permanent data storage protocol that’s designed to preserve information indefinitely, thereby self-described as “like Bitcoin, but for data.”

It was launched in 2018 and introduced the so-called “blockweave.” This is a novel blockchain structure that enables users to store data permanently by only paying a one-time fee. This particular innovation underpins the “Permaweb,” which in turn is a collection of immutable web applications and pages that are hosted on the protocol’s network.

Arweave employs a unique consensus mechanism. It’s called Succinct Proofs of Random Access (SPoRA). It ensures data permanence, as well as network security. The protocol’s native token is called AR and it is used to pay for data storage, while also incentivizing miners to maintain the network.

Additional information

• Founders: Sam Williams (CEO), William Jones (Co-founder), and Ahmed Al-Balaghi.​
  
• Background: Williams, a computer science graduate from the University of Nottingham, initiated Arweave to combat information loss and censorship, drawing inspiration from historical events and literature.​
  
• Funding: Arweave has raised approximately $20.91 million, with notable investments from Andreessen Horowitz, Coinbase Ventures, and Union Square Ventures.​
  
• Milestones: Key developments include the launch of the Permaweb, integration of smart contracts in 2020, and the establishment of the Arweave-Solana bridge.​
  
• Growth: Arweave’s ecosystem has expanded through partnerships with major organizations like Microsoft and IBM, and initiatives like the Arweave Grants Program to support developers building on the network.

Akash Network (AKT)

Akash Network is one of the top AI crypto coins that introduces a cloud-computing marketplace where users can buy and sell cloud resources using AKT as the payment method.

Akash Network became one of the largest AI crypto coins thanks to its simple business model: users needing cloud computing can purchase resources from those with extra capacity, all in a peer-to-peer manner.

The platform’s main competitive edge is its ability to provide decentralized storage and asset ownership at a lower cost than traditional centralized systems, appealing to both businesses and individuals.

Akash has formed partnerships with leading institutions in the crypto space, such as Coinbase Prime, which offers custodial services for AKT, and Solve.Care, a blockchain-based healthcare platform aimed at decentralizing patient data and integrating blockchain benefits into healthcare systems.

Akash utilizes the Interplanetary File System (IPFS) for decentralized storage due to its enhanced security and resistance to censorship.

The rise in popularity of DeCloud (decentralized cloud), AI, and ML protocols has driven increased usage and renewed investor interest in Akash and similar AI coins.

Additional information:

• Founders: Greg Osuri, Adam Bozanich, Bassel Menzalji, and Gregory Gopman.
• Background: Osuri (ex-AngelHack, OpenStack contributor); Bozanich (ex-Symantec); Menzalji and Gopman (business and marketing).
• Funding: Raised $26.2M, including a $20M Series A led by Andreessen Horowitz.
• Milestones: Secured major partnerships across healthcare (Solve.Care) and Web3 (Passage).
• Growth: Expanded adoption beyond AI into healthcare, content creation, and other industries.

Notable Milestones

• The protocol has made important partnerships and collaborations. In 2022, NASA streams were powered by Tetha Network, specifically on the ISS Expedition 68 in-flight event.
• In that same period, Theta teamed up with electronics giant Samsung to release commemorative NFTs.
• Other important milestones include a partnership with Lionsgate and Metro Goldwyn Mayer (MGM).

Methodology: How Did we Pick the Best AI Crypto Coins?

To select the best AI crypto coins, we conducted a careful and comprehensive evaluation based on several important factors. These include:

• Underlying technology and real-world use cases for each project;
• How effectively are they integrating AI into their platforms;
• Although not stated in this guide, we also took factors such as market performance, liquidity, trading volume, and historical price stability to gauge investor confidence and overall reliability;
• Assessed the team expertise and project transparency;
• Funding rounds to determine runway and feasibility;
• Notable milestones
• Growth potential

Why Trust CryptoPotato?

CryptoPotato is one of the oldest and most reputable source of information in the cryptocurrency industry. Since 2016, we have been providing up-to-date, relevant, comprehensive, in-depth, and most importantly – objectively accurate information about various crypto projects.

Since the formation of the AI crypto narrative, we have produced hundreds of articles on the matter and our experts are well-aware of the ins and outs of the narrative, curating the most highly-reputable projects and providing the most essential and also actionable information about them.

What are AI Crypto Projects?

Before proceeding, let’s briefly explain AI crypto and why this sector has blossomed in the last few years.

At the forefront of the industry, AI crypto projects saw substantial increases, especially in the first quarter of 2024. The reason is not just hype; the combination of AI and blockchain technology has opened several windows of new use cases and applications for finance, data storage, cloud computing, and much more.

In decentralized finance (DeFi), for example, we can see different types of dApps using AI. Decentralized exchanges (DEXs) can use AI to facilitate trade automation through algorithms (as many automated market makers do).

AI can also improve the screening process for smart contracts, allowing founders to spot potential threats and vulnerabilities. In another example, AI is frequently used to produce generative art NFT projects, such as Interactive Non-Fungible Tokens (iNFTs), which incorporate intelligent traits and reasoning abilities.

There are currently hundreds of AI-based crypto projects, each targeting a specific market within and outside the space.

Some of them transcend a single category and are part of multiple ones. That’s why you might see some of them listed here and also in our guide on the top DePIN cryptos.

How to Buy the Best AI Crypto Coins?

There are two main ways to buy AI crypto tokens. The first is through centralized exchanges like Binance.

As a partner of Binance, CryptoPotato readers can receive exclusively a $600 voucher. Use this link to head to Binance. Open a new account, verify it, and then complete the following tasks for up to $600 free.

That said, once you have an account registered, you will need to navigate to the top of your main menu and in the right corner, click on the “depoist” button and select “buy crypto.”

From there, you will simply need to input your preferred currency and the cryptocurrency you want to buy. You can use a regular credit or debit card for this.

Alternatively, you can also use a decentralized exchange (DEX), but that’s a more complicated process and would require more technical knowledge.

In addition to all of the above, you can also keep track of some of the top crypto presales and meme coin presales – this will allow you to stay up to date with the newest AI cryptos hitting the market.

Why Are AI Crypto Coins so Popular?

Cryptocurrencies that integrate some sort of AI technology started picking up speed and became very popular following the mania that surrounded ChatGPT when it was introduced.

While many companies are now working on their own AI-related products, OpenAI’s ChatGPT was the one that exploded in popularity, especially within the crypto industry.

Everyone was talking about it. Better yet, everyone was talking to it. But what is it?

OpenAI trained a chatbot model that’s designed to interact with the user in a conversational way. The dialogue format itself makes it possible and rather easy for ChatGPT to answer various follow-up questions. It even admits its mistakes, challenges premises that are incorrect, and rejects requests deemed inappropriate (a point of contention for many).

But why not ask it about itself?

Since its release, ChatGPT has been updated multiple times and OpenAI seems to be working toward perfecting the model and adding more capabilities and integrations to it.

When Did the AI Crypto Trend Begin?

It’s hard to pinpoint the exact moment when the AI trend in the cryptocurrency market started, but it was somewhere around that time.

A lot of cryptocurrencies that had something to do with artificial intelligence started increasing in value.

As is almost always the case, this also meant that projects that were quite shady but only had “AI” in their name also started pumping.

And while there are a lot of serious projects with considerable backing, actively developing in the fields of crypto and AI, many were (and still are) nefarious, but more on that later.

Tech Giants Spend Big Bucks

Crypto trends are often catalyzed by outside events. In this particular case, ChatGPT and other AI-based models caught speed among bigger names, one of which was the tech mogul Microsoft.

On January 23rd, 2023, Bloomberg reported that Microsoft invested a whopping $10 billion in OpenAI, the maker of ChatGPT. It’s worth noting that Microsoft was already a backer of OpenAI at that point, having invested $1 billion in 2019.

OpenAI also revealed that it’s using Microsoft’s cloud-based service, Azure, to train all of its models. One of the main purposes of the investment was to enable the company to further its independent research.

Is AI Good for Crypto?

AI and blockchain technology can synergize if both are used for their best purposes. As we’ve seen with the projects listed above, AI can be used for trading automation in a blockchain-based protocol, enhancing trading functions and price automation.

For crypto institutions, AI algorithms, through machine learning, are helping exchanges provide and fulfill trading orders quicker, develop chatbots that assist users, smart trading bots that can analyze market trends and predict price movements, and more.

Regarding security and on-chain analysis, blockchain firms can use AI to spot potential threats and vulnerabilities in a smart contract. Moreover, wallets and exchanges can use AI to detect suspicious activity or flag addresses that have been poisoned or belong to a malicious actor.

Even in mining, we see AI and crypto merging, as AI marketplaces can provide or optimize computing power allocation for users.

There are certain drawbacks, however, and we can summarise them as follows:

• Centralization: There’s a growing concern in the public that leading AI companies are working on their AI models behind closed doors, leaving investors and users out of the picture and raising concerns over the lack of transparency and power centralization. Projects like BitTensor try to democratize AI developments and innovation by rewarding users for sharing their discoveries and models.

• Black Box Problem: AI algorithms can be opaque, making it difficult to understand their decision-making processes. The black box problem refers to the challenge of transparency and interpretability of AI algorithms during their time of existence and may complicate/strain operations in crypto projects.

• New risk and security challenges: introducing AI in crypto could mean new risks and vulnerabilities that malicious actors can exploit.

Frequently Asked Questions (FAQs)

What are AI crypto coins?

AI crypto coins are essentially cryptocurrencies that are in some way linked to projects that use artificial intelligence to improve or empower blockchain applications. These can be AI-drive trading alogrithms, decentralized AI marketplaces, smart contract automation, and more.

How is AI used in crypto projects?

AI is used in crypto projects in vairous ways. Some examples include: to automate trading, to manage decentralized autonomous organizations (DAOs), to perosnalize user experience, to optimize resource allocation, and more.

What are some examples of popular AI crypto coins?

Some of the most popular AI crypto coins include Bittensor (TAO), Render Network (RENDER), The Graph (GRT), Near Protocol (NEAR), and many others.

Are crypto coins a good investment?

AI crypto coins can offer significant potential for great returns because of the increasing importance of AI technology, in general. However, because they are typically smaller in market capitalization compared to established projects like Bitcoin, for example, they also carry significant risks. Take a look at some of the altcoin trading tips that we have prepared just for this occasion.

How do I choose the best AI crypto coin?

It’s best to look for projects with real-world AI applications, active communities, strong technical teams with solid backgrounds, reliable partnerships, and clear roadmaps.

What risks are involved with investing in AI crypto coins?

The main risks include technological failure, competition from traditional AI companies, regulatory challenges, inherent volatility associated with lower-capitalization crypto coins, and more.

Best AI Crypto Projects – Conclusion

AI and crypto can work in multiple ways, from fraud detection, smart contract security, and on-chain analysis to cloud-based resources, mining, and trading optimization.

The marriage between AI and crypto has opened new windows of use cases and applications for multiple industries. However, their drawbacks must be addressed and analyzed thoroughly to mitigate their negative impact on users and investors.