AI needs web3 to reach its full potential.

As artificial intelligence continues to develop, it could soon become an essential part of many aspects of society. But for AI to reach its full potential, web3 must be implemented to make sure that the technology is secure and reliable. This opinion piece will explore why AI won’t reach its highest capabilities without web3.

I. AI & Web3 Connected

The Web3 and Artificial Intelligence (AI) fields are closely connected. AI is used to train and operate robotic automation, which can be used to interact with Web3 applications. In addition, AI can help Web3 applications better secure their data and protocols. By better understanding the data and performance of the Web3 platform, AI-powered agents can more accurately identify areas that require improvement or security.

Web3 applications can also be used to train ML models using the data stored on the blockchain. In this way, AI agents can be quickly trained and adjusted on the fly to meet changing requirements. Moreover, smart contracts can track and record the performance of AI operations, allowing for improved accuracy and reliability.

In summary, the power of AI and Web3 technology are mutually beneficial:
• AI can be used to train and operate robotic automation with Web3 applications.
• AI can help improve the security of Web3 applications.
• AI agents can be trained on the data stored on the blockchain.
• Smart contracts can track and record the performance of AI operations.

II. Potential of AI Realized Through Web3

The potential of AI is unlocked through the integration with blockchain technology known as Web3. Web3 consists of a variety of applications called Dapps, or decentralized applications, that are built on top of a blockchain. Dapps are able to interact with data on a blockchain in sophisticated ways that are difficult or impossible with conventional systems.

By using Web3, applications can be developed that use the data stored on a blockchain to make AI decisions that are almost instantaneous and autonomous. For example, the use of AI in finance applications can have a profound impact, such as automated currency exchange, algorithmic trading, and automated asset management and allocation. With Web3, these processes can be secured with blockchain technology, ensuring that control is maintained by the appropriate parties.

• AI Decisions are Automated and Secure : Web3 ensures that the AI decisions are automated and secure, allowing organizations to use the data stored on the blockchain to make smart decisions.
• Real-Time Data Analysis : Web3 provides real-time data analysis, giving organizations the ability to process data more quickly and accurately.
• Opportunity for Scalability : Web3 can easily scale in order to handle more data and processing power, enabling organizations to take advantage of new technologies.

III. examples of AI/Web3 Innovations

Decentralized Finance (DeFi)
Decentralized finance (DeFi) seeks to drive crypto-based financial services onto blockchain networks. DeFi users access a network of financial service providers that can include decentralized applications (dApps) focused on borrowing, lending, trading, and insurance. One example of a popular DeFi application is Compound, which provides users with a decentralized market of crypto-backed loan and money market products.

Non-fungible Tokens (NFTs)
NFTs are cryptographic tokens that are non-fungible and unique, meaning each token is unique and cannot be exchanged like a cryptocurrency. NFTs are used in digital gaming and virtual worlds as a way for gamers to own unique in-game assets. They are securely recorded on a blockchain and associated with the individual who holds them. One example of an NFT marketplace is OpenSea, where users can buy, sell, and trade unique digital assets like artwork, music, and game items.

The potential of AI is great, but to truly bring it into the realm of the fully realized, web3 applications must be a part of its ecosystem. By leveraging the power of decentralization, AI systems can become more reliable, accountable, and resilient. This could lead to new breakthroughs in the way that artificial intelligence is used to power operations in any sector of the economy. As Web3 continues to grow and develop, the future of AI will become even more vibrant and revolutionary.