What Are Artificial Intelligence (AI) Cryptocurrencies?

Cryptocurrencies
What Are Artificial Intelligence (AI) Cryptocurrencies?

What Are Artificial Intelligence (AI) Cryptocurrencies?

Artificial Intelligence (AI) cryptocurrencies represent a convergence of two transformative technologies: blockchain and artificial intelligence. These digital assets power blockchain-based platforms that leverage AI's capabilities to create decentralized, intelligent applications and services.

The AI crypto market has witnessed explosive growth, with its total market capitalization reaching past $32 billion as of 27 August 2024. This meteoric rise underscores the immense potential investors see in the convergence of AI and blockchain, a development that might lead to a future where intelligent algorithms and decentralized networks reshape industries and create new opportunities. 

A defining characteristic of many AI crypto projects is their potential to leverage the collective computing power of their networks to train and execute AI models, with the aim of fostering a more accessible and democratized AI landscape.

How Do AI Crypto Coins Work?

AI cryptocurrencies, also known as AI tokens or AI coins, operate at the intersection of blockchain technology and artificial intelligence. These digital assets function as utility tokens within AI-based projects, applications, and services. 

The primary function of these tokens is to facilitate access to and utilize AI-related resources within a decentralized ecosystem. They enable transactions and interactions within AI-focused platforms and marketplaces, fostering a transparent and trustless environment for the exchange of AI services, data, and models.

For example, AI tokens can be used to purchase computing power for training and deploying AI models, access datasets for machine learning, or participate in decentralized AI marketplaces. Doing so creates a ecosystem where AI resources are readily available and accessible to a wider audience.

How Are AI Crypto Coins Created?

Similar to other utility tokens in the crypto space, AI cryptos are created through minting. 

New tokens are issued on an existing Layer 1 blockchain platform, such as Ethereum, Binance Smart Chain, or Polygon to provide the underlying infrastructure and security for the AI crypto tokens.

To ensure compatibility and smooth interaction with the broader blockchain ecosystem, developers adhere to specific token standards like ERC-20 (Ethereum), BEP-20 (Binance Smart Chain), or TRC-20 (TRON). Each respective token standard defines the rules and functionalities of the token, such as how it's transferred, stored, and interacted with within smart contracts and decentralized applications (dApps).

Some AI crypto projects also employ a Proof-of-Stake (PoS) consensus mechanism, where token holders can stake their coins to validate transactions, secure the network, and earn rewards. Through staking and similar mechanisms, token holders are incentivized to actively contribute to the network's overall health and growth, fostering a more engaged and invested community:

  • Active Governance: By holding and staking AI crypto tokens, users gain voting power in the project's DAO. This empowers them to directly influence crucial decisions like protocol upgrades, tokenomics adjustments, and strategic partnerships, ensuring the platform evolves in line with the community's vision and needs.

  • Network Security: In Proof-of-Stake (PoS) systems, token holders can stake their assets to become validators, responsible for verifying transactions and adding blocks to the blockchain. Active participation strengthens the network's security by making it computationally expensive for malicious actors to disrupt the system.

  • Enhanced Liquidity: Token holders can contribute to liquidity pools on decentralized exchanges, increasing the ease with which tokens can be bought and sold. This creates a more robust market for the AI cryptocurrency, attracting new users and fostering healthy trading activity.

  • Community Building and Advocacy: Community members often help tocan educate and onboard new users, contribute to the project's development, and spread awareness through various channels, creating a thriving ecosystem that attracts more participants and investment.

How are AI Crypto Coins Different from Other Cryptocurrencies?

While all cryptocurrencies utilize blockchain technology, AI crypto coins differentiate themselves by integrating or supporting AI technologies within their ecosystem:

  • AI Focus: AI cryptocurrencies are inherently tied to the development and application of AI technologies. They either directly power AI platforms and services or support the broader AI ecosystem through data sharing, computing power, or other means.

  • Utility: The value of AI crypto coins is often derived from their utility within specific AI projects or ecosystems. They can be used to access AI services, purchase AI models, or participate in governance.

  • Potential for Growth: The rapid advancement of AI technology and its increasing integration across various industries present significant growth potential for AI cryptocurrencies. As AI adoption accelerates, demand for these digital assets is likely to rise, driving their value and market capitalization.

AI crypto projects either integrate AI technology directly into their operations or facilitate the sharing of AI-focused resources. For instance, AI tokens like Render (RENDER) and The Graph (GRT) power marketplaces that connect entities requiring computational resources, essential for AI functions like image rendering, chatbots, and predictive modeling, with those possessing surplus computing power to share. By harnessing the decentralized nature of cryptocurrencies and blockchain technology, these markets are able to operate 24/7. 

Furthermore, AI cryptocurrencies often support AI development by providing funding, facilitating access to vital computing power, or establishing platforms for collaboration between AI developers and researchers. In contrast, traditional cryptocurrencies primarily function as digital currencies or stores of value without a specific focus on integrating or supporting AI technologies. 

Benefits of AI-Powered Token Development

The convergence of AI and blockchain technology presents new opportunities for innovation and efficiency across industries. AI crypto projects facilitate this integration through:

  • Reduced Costs: AI development and deployment can be expensive due to the high computational power requirements. AI crypto tokens can leverage decentralized computing networks to provide more affordable access to these resources.

  • Improved Accessibility: By lowering the barriers to entry for AI development and usage, AI crypto coins can democratize access to these technologies, fostering innovation and inclusivity.

  • Enhanced Security: Blockchain's inherent security features can protect AI models and data from unauthorized access, manipulation, and theft.

  • Increased Transparency: Blockchain's transparent and auditable nature can help build trust in AI-driven systems, promoting accountability and ethical AI practices.

  • Data Ownership and Control: AI crypto coins can empower individuals to maintain ownership and control over their data, deciding when and how it's used for AI training and development.

Use Cases of AI Crypto Tokens

The versatility of AI crypto tokens opens up a wide array of use cases across different sectors. Let's delve into some notable examples:  

  • Decentralized Computing Power: AI models often require substantial computational resources for training and execution. Projects like Render (RENDERRNDR) and Golem (GLM) address this challenge by creating decentralized networks where individuals can contribute their spare computing power in exchange for AI crypto tokens. Doing so democratizes access to computational resources, making AI development more affordable and accessible.

  • Data Marketplaces: Ocean Protocol (OCEAN) and SingularityNET (AGIX) facilitate the creation of decentralized marketplaces where users can securely buy and sell data while AI developers can access high-quality datasets, AI models, and algorithms to train and improve their models, fostering a data-driven economy where data ownership and privacy are prioritized.

  • AI-Powered Prediction Markets: Platforms like Augur (REP) and Gnosis (GNO) allow users to create prediction markets on various topics, integrating AI capabilities to analyze market data and user behavior to improve forecasting accuracy.

  • Privacy-Preserving AI: Oasis Network (ROSE) tackles issues of data privacy in AI applications. By providing a privacy-enabled blockchain platform, it allows developers to build dApps that utilize AI while ensuring data confidentiality and user control. This is particularly valuable for sensitive use cases like healthcare and finance.

  • Decentralized Autonomous Organizations (DAOs): AI crypto tokens can be used to govern and manage DAOs that focus on various aspects of AI development, such as funding research, allocating resources, and making decisions about project direction. In doing so, AI crypto tokens enable a more democratic and community-driven approach to development and deployment.

Challenges and Risks Faced in AI Crypto Projects

While AI-driven crypto projects hold immense promise, they also face some challenges that need to be addressed:

  • Scalability: Many blockchain networks face scalability limitations, which can hinder the efficient execution of complex AI computations.

  • Adoption: Mainstream adoption of AI cryptocurrencies is still in its early stages, and user education and awareness are crucial for wider acceptance.

  • Regulatory Uncertainty: The regulatory landscape for cryptocurrencies and AI is still evolving, creating uncertainty for projects and investors.

  • Technical Complexity: Developing and deploying AI-powered dApps on a blockchain can be technically challenging and require specialized expertise.

  • Security Risks: Blockchain networks and smart contracts are vulnerable to hacking and exploits, posing risks to user funds and data.

Despite these challenges, the fusion of AI and blockchain represents a promising frontier in the world of technology and finance. As these technologies continue to mature and evolve, we can expect AI cryptocurrencies to play an increasingly important role in shaping the future of AI development, data management, and decentralized applications.

Top 3 AI Cryptocurrencies

In the ever-evolving AI crypto landscape, a few projects have distinguished themselves through innovation, adoption, and potential for growth. Let's take a closer look at three leading AI cryptocurrencies: NEAR Protocol, Render, and The Graph.

1. NEAR Protocol (NEAR)

NEAR Protocol is a layer-1 blockchain platform designed for scalability and usability, making it an attractive foundation for AI-powered decentralized applications (dApps). Its unique sharding technology enables parallel processing of transactions, significantly boosting network throughput and reducing fees. NEAR Protocol's developer-friendly environment and focus on user experience make it a popular choice for building innovative AI crypto projects.

  • Market Cap: $1.5 billion (as of August 2023)

  • Tokens in Distribution: 819 million NEAR

  • Model: Proof-of-Stake (PoS)

NEAR Protocol's ability to support AI projects through its scalable infrastructure and low fees is a major draw for developers and users alike. Its focus on usability and seamless integration with existing web technologies further enhances its appeal. 

Additionally, NEAR's active community and robust ecosystem of dApps and tools create a fertile ground for AI innovation. 

However, the platform faces competition from other layer-1 blockchains, and its long-term success will depend on its ability to attract and retain developers and users.

2. Render (RENDER)

Render is a decentralized GPU rendering network that leverages blockchain technology to connect users in need of rendering power with those who have idle GPUs to spare. This creates a peer-to-peer marketplace where artists, designers, and developers can access affordable and scalable rendering solutions while GPU owners can earn rewards for contributing their computational resources.

  • Market Cap: $550 million (as of August 2023)

  • Tokens in Distribution: 333 million RENDERRNDR

  • Model: Proof-of-Work (PoW)

Render's unique value proposition lies in its ability to democratize access to high-quality rendering power, which is often expensive and inaccessible for many creators. 

By harnessing the power of idle GPUs across the globe, Render offers a cost-effective and scalable solution for rendering complex 3D models, animations, and visual effects. This makes it particularly attractive for AI projects that require substantial computational resources for training and deploying their models.

While Render's innovative approach has garnered significant attention, it faces challenges such as competition from centralized cloud rendering providers and the need to continually expand its network of GPU providers to meet growing demand.

3. The Graph (GRT)

The Graph is an indexing protocol for querying blockchain data, enabling developers to efficiently access and organize information from various networks. Its decentralized architecture ensures data integrity and censorship resistance, making it a valuable tool for AI projects that rely on blockchain data for training and analysis.

  • Market Cap: $1.2 billion (as of August 2023)

  • Tokens in Distribution: 5.9 billion GRT

  • Model: Proof-of-Stake (PoS)

The Graph's ability to simplify and streamline the process of accessing blockchain data is a major advantage for AI developers. By providing a user-friendly interface and powerful querying capabilities, The Graph enables AI projects to leverage blockchain data for various purposes, such as sentiment analysis, fraud detection, and predictive modeling. The Graph's growing network of indexers and subgraphs further enhances its value and potential for broader adoption in the AI and blockchain space.

While The Graph has established itself as a leading crypto player in blockchain data indexing, it faces challenges such as competition from other indexing protocols and the need to continually adapt to the evolving needs of the AI and blockchain ecosystems.

How to Trade AI Cryptocurrencies on Flipster?

  1. Sign up for an account on the Flipster website or by downloading the Flipster app (Android or Apple).

  2. Click the [Trade] tab.

  3. Search for a crypto and click on it.

  4. Select the leverage (up to 100x).

  5. Select either a Trigger Order or Market Order.

  6. Enter the amount of coin you want to trade or choose a percentage of your available funds.

  7. Once you have confirmed the details, click the [Long] or [Short] button to open a position

Disclaimer: This material is for information purposes only and does not constitute financial advice. Flipster makes no recommendations or guarantees in respect of any digital asset, product, or service. Trading digital assets and digital asset derivatives comes with significant risk of loss due to its high price volatility, and is not suitable for all investors.