While technologists explore AI applications across industries, a Coinbase report suggests that AI-related tokens may be over-hyped in the short and medium term.
Coinbase analyst David Han expresses caution due to the rapid changes in AI, casting doubt on the long-term sustainability of most AI tokens. He notes a fundamental challenge wherein crypto projects strive for decentralization, whereas AI heavily relies on centralized components and data sources.
Han suggests two opportunities for the crypto AI ecosystem: enhancing blockchain data for human-readable transactions and analysis, and decentralizing the centralized AI infrastructure.
Despite potential opportunities, Han emphasizes that a decentralized AI future, as envisioned by many in the crypto industry, is not guaranteed. The future of the AI industry remains largely uncertain.
Despite skepticism, many AI tokens have recently outperformed Bitcoin and major stocks. Coinbase attributes this to market sentiment driven by broader crypto market trends and related AI news headlines.
While the crypto AI narrative may strengthen, meaningful adoption will require more than just decentralizing AI components. Understanding the underlying trading narrative is crucial for AI tokens to offer a comparable alternative to existing crypto assets.
Ethereum co-founder Vitalik Buterin supports the idea of AI in the crypto space, suggesting its potential significance in identifying and fixing bugs within the Ethereum network through AI-powered auditing.
As of March 8, AI tokens collectively hold a market capitalization of $51.18 billion, serving various AI-based projects, applications, and services such as decentralized AI marketplaces, AI-powered trading algorithms, and AI-driven decentralized autonomous organizations.
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