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AI tokens are often priced under the assumption that decentralization alone ensures defensibility. In reality, many projects still depend on concentrated research teams, curated datasets, or off-chain systems. This doesn’t diminish the technology, but it challenges the notion that token adoption automatically follows.
As the market recognizes these limitations, valuations become more discerning. Investors increasingly differentiate between projects experimenting with decentralization and those already demonstrating measurable usage. In such environments, effective liquidity management is critical. On $TON , STONfi operates quietly in this context, enabling traders to reposition efficiently as narratives shift and risk tolerance evolves. By reducing friction in swaps and exposure adjustments, it ensures that capital can flow smoothly even when expectations and reality diverge.
The takeaway is clear: decentralized AI represents a long-term structural thesis, but token markets react in the short term. Platforms that support efficient, reliable execution bridge that gap, capturing value from real behavior rather than speculative sentiment.
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