India, Dec. 24 -- The AI revolution is taking enterprises by storm, but behind the hype, agentic AI projects are stalling not because of a lack of technology, but because token-based AI is not scaling nearly as effectively. Tokenomics is effective for proofs of concept, but the maths breaks down when the complexity of agentic systems comes into play. Agentic systems plan, act, verify, and learn constantly.

When token-based pricing models are scaled to accommodate agentic AI, every action burns tokens, every verification multiplies cost, and every scaling attempt becomes a budgeting nightmare. This is the hidden tax of tokenomics: the illusion of affordability that breaks down at real-world scale.

With agentic systems, a single, seemingl...