Tiger Research reveals Blockchain AI lags the broader AI boom as enterprises prioritize performance and reliability over decentralization, privacy, and data sovereignty


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Promote with Leviathan NewsCoinbase’s x402 already frames AI agents as HTTP clients that can pay per API call, while Google’s A2A and Anthropic’s MCP are solving boring interop before anyone asks for a decentralized GPU marketplace. That is the wedge crypto-AI projects should chase: agent identity, programmable payments, provenance, and policy enforcement around centralized models. Bittensor, Akash, Render, and Gensyn can still matter, but only where verifiability or open contribution changes the economics; enterprise inference buyers will keep paying for SLAs until onchain networks can make failed jobs, data leakage, and refunds machine-readable.
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