The artificial intelligence (AI) sector is experiencing significant growth in the development and deployment of AI agents. However, the majority of these AI agents are free and open-source, challenging the need for tokenized models in AI evolution. Despite the increasing interest, Web3-based AI solutions only make up a small fraction of the overall AI agent ecosystem. Users and developers show little interest in Web3-based AI agents, indicating a lack of mainstream adoption for crypto-integrated AI solutions. Critics argue that tokenization in AI agents is often a gimmick and that many tokenized AI projects are scams. However, the emergence of platforms like Manus and n8n allows users to develop and deploy AI agents without the need for native tokens, highlighting that tokenization is not essential for AI functionality. While some developers and investors still see potential in blockchain-integrated AI solutions, the market will ultimately determine the success of these projects. Non-tokenized AI solutions are gaining traction, and the future of AI-driven automation will depend more on accessibility and practical application rather than speculative token economies.



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