This article evaluates the post-launch performance of various tokens from their Token Generation Events (TGEs) in 2025. It categorizes them into tiers based on price retention and market behavior, highlighting winners and clear failures. Insights include performance metrics and liquidity considerations.

The article explores the potential for a bubble in the artificial intelligence sector, drawing parallels to historical bubbles. It distinguishes between investor behavior and company actions, emphasizing that bubbles often stem from excessive optimism rather than technological advancements alone. The author discusses the dual nature of bubbles, highlighting their potential to drive technological progress despite the risk of wealth destruction.

A contrarian view suggests that the discourse surrounding a bubble in artificial intelligence stocks indicates that there isn't one, as prices remain stable. However, this argument is flawed because investors often buy overvalued stocks in anticipation of future gains, despite widespread acknowledgment of the high prices.