Fetch.ai and Bittensor, key players in the AI+crypto space, differ in their token economics. Fetch.ai’s FET (now ASI post-merger) powers a decentralized AI economy, enabling autonomous agents for tasks like DeFi and smart cities. Its model emphasizes governance, staking for network security, and transaction fees, fostering broad applicability but risking dilution from high token supply. Bittensor’s TAO incentivizes a decentralized ML network, rewarding miners for AI model contributions with a Bitcoin-inspired model. Its token burn mechanism and no-ICO approach ensure fair distribution, but high unissued tokens (70%+) may pressure prices. Fetch.ai excels in diverse use cases and interoperability, while Bittensor’s focus on AI model training offers niche strength. However, both face challenges: Fetch.ai’s complexity may deter adoption, and Bittensor’s scalability depends on subnet expansion. Ultimately, Fetch.ai suits broader AI applications, while Bittensor appeals to decentralized ML enthusiasts.