Web3’s AI Revolution: Which Blockchains Will Survive?
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The integration of artificial intelligence (AI) agents into Web3 is rapidly evolving, demanding blockchain infrastructure capable of handling the increased computational load. Current leading blockchains like Ethereum and Solana face limitations in transaction speed, cost, and scalability, hindering the potential of AI-driven applications. These AI agents, ranging from arbitrage bots and autonomous DAOs to sophisticated NFT marketplaces, require millions of transactions per second (TPS), sub-second latency, and minimal transaction fees. Legacy chains struggle to meet these demands. The article highlights Kaanch Network as a potential solution, emphasizing its design for AI-native applications. Kaanch boasts 1.4M TPS, 0.8-second block time, and a robust validator network, addressing the scalability and speed issues. Its built-in features, including on-chain identity (.knch domains), interoperability with other blockchains (Ethereum, Solana, BNB), and support for real-world asset (RWA) tokenization, position it as a leader in the emerging AI-powered Web3 landscape. The article suggests that infrastructure projects like Kaanch, which enable entire AI ecosystems, are poised for significant growth, presenting an investment opportunity given its current token price. However, it's crucial to acknowledge the inherent risks in investing in nascent technologies, especially those in the presale phase. The success of Kaanch, and other similar projects, hinges on its ability to deliver on its promises and attract a substantial developer and user base. The early adoption of AI on-chain is limited by existing infrastructure, but projects like Kaanch aim to overcome these limitations, paving the way for a new era of decentralized, AI-powered applications. The article emphasizes that the convergence of AI and Web3 is one of the decade's most significant technological narratives.
(Source: https://www.thecryptoupdates.com/ai-agents-are-entering-web3-which-blockchains-can-handle-the-load/)
