From FOMO to Implementation: A Review of the Current State of AI Services in Crypto Companies
From FOMO to Implementation: A Look at Crypto Companies' AI Services
Cryptocurrency companies, from exchanges to security firms, are rapidly integrating AI-driven services, driven by FOMO (fear of missing out) rather than just hype. Unlike previous cycles, established players like Coinbase and Binance are leading the charge, treating AI as a business necessity rather than a narrative.
Key sectors adopting AI include:
- **Research**: Projects like Surf AI address crypto's fragmented data problem by offering specialized tools that aggregate on-chain data, social sentiment, and metrics, providing accurate, crypto-specific insights.
- **Trading**: Exchanges are leveraging AI to allow natural language commands for analysis and execution, lowering the barrier for non-developers to create automated strategies via AI agents.
- **Security/Audit**: Firms like CertiK use AI to enhance smart contract audits by combining automated code scanning with human review, and adding post-audit monitoring to cover previous blind spots.
- **Payment Infrastructure**: Companies are developing protocols for AI agents to make on-chain payments, using stablecoins for API fees or services, with Circle’s proposal for AI-agent payments gaining attention.
The push is fueled by AI advancements like MCP and OpenClaw, which make agent-based automation accessible. However, the adoption gap between "having functionality" and "actual usage" remains, with questions about user trust in AI for real trading or payments. Ultimately, crypto firms are acting to avoid obsolescence in the AI era, though real-world utility is still evolving.
比推03/17 18:08
