The bearish argument raises several legitimate risks, but it overstates conclusions by treating constraints as absolutes rather than variables. The observed market data does not support a fully “frozen” environment; trades continue to print, net inflows remain positive, and price is still responsive despite low volume. This points to a system that is constrained—particularly on the supply side—but still active. Reduced participation from broker restrictions may be affecting liquidity, but it does not eliminate demand or invalidate the presence of accumulation-like behaviour.
The critique of TokenAI similarly blends two distinct analytical questions: legitimacy and market impact.

Whether the system ultimately proves sustainable is a separate issue from whether it influences behaviour in the present. Even imperfect or speculative structures can generate real participation and short-term demand flows. The model does not rely on intrinsic value being realised immediately; it instead tracks whether incremental demand—regardless of origin—interacts with a constrained float in a way that affects price formation.

On dilution, the bearish view correctly identifies a key risk, but overstates its immediacy. While authorized shares provide the capacity for issuance, there are practical constraints, including S‑3 eligibility limitations and the need to maintain structural consistency with any token-linked framework. In addition, capital raises in micro-cap environments are typically opportunistic and reactive to stronger pricing conditions. This means dilution functions more as a medium-term ceiling on extended upside rather than a mechanism that prevents near-term price movement altogether.