How is tokenomics designed for AI-based tokens?
AI tokenomics focuses on incentivizing AI data sharing, model training, and ecosystem participation. It balances supply-demand by rewarding contributors with tokens for providing quality data or improving AI models. Token utility often includes governance voting, access to AI services, or staking for model validation. Designing these mechanics requires understanding AI workloads, participant motivations, and preventing spam or malicious data. Sustainable AI tokenomics ensures ecosystem growth, fair distribution, and long-term value aligned with AI project goals.
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