Emerging Web3 AI Projects Struggle Against Dominance of Big Tech
AI Agent Upgrades From Claude To OpenClaw Overshadow AI Action On The Blockchain
Benzinga
Image: Benzinga
Recent advancements in AI, particularly with models like Anthropic's Claude and OpenAI's OpenClaw, overshadow the slower growth of AI in the Web3 space. While blockchain AI projects exist, they represent only 20-30% of Web3 investments, highlighting the challenge of competing with centralized AI infrastructures.
- 01Web3 AI projects account for only 20-30% of overall investments in the blockchain sector.
- 02Bittensor, a notable AI-linked token, saw its value rise dramatically from $0.13 to around $240 in 2023.
- 03CoinFello aims to create user-controlled AI agents, challenging the dominance of Big Tech.
- 04Despite current limitations, experts predict a shift towards more effective decentralized AI tools within a year.
- 05The market for AI-linked tokens remains resilient, with a focus on decentralized financial infrastructure.
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Recent upgrades in AI technology, particularly with Anthropic's Claude and OpenAI's OpenClaw, have overshadowed developments in the Web3 sector. Jacob Cantele, CEO of CoinFello, highlights that while blockchain AI projects exist, they only represent 20-30% of the total investment in Web3. By the end of 2025, an estimated 17,000 AI agents are expected to operate on Web3 platforms, with autonomous agents accounting for 19% of all Web3 activity. Notably, Bittensor, a token associated with decentralized AI, surged from $0.13 to approximately $240 in 2023, demonstrating a growing interest in AI-linked tokens. Cantele emphasizes the need for user-controlled AI agents to counteract the monopolistic tendencies of Big Tech. Experts like Dr. Ben Goertzel predict that advancements in decentralized AI training methods will lead to more robust tools in the coming year, potentially allowing Web3 AI to rival traditional AI systems. Despite challenges, the resilience of AI-linked tokens indicates a promising future for decentralized financial infrastructure.
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The growth of decentralized AI tools could empower users to take control of their AI agents, reducing reliance on centralized systems.
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