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This wave of AI hype is fundamentally different from the concept boom of 2015.
In 2015, it was purely a capital frenzy—lacking real application support, driven solely by stories to encourage retail investors to follow the trend, resulting in many projects ending in failure. This time is different. The rise of AI-related projects now is backed by genuine on-chain data growth, actual ecosystem development, confirmed orders, and collaborations. Institutional funds are no longer fooled by flashy narratives; they focus on projects that can deliver real results—hard indicators like on-chain activity, TVL growth, and application implementation.
Just having a concept? Not enough. Without verifiable ecosystem development and revenue data, funds will turn away.
Next year, the AI track will further differentiate. Projects that only tell stories will gradually fall behind, while those with solid business growth and strong future prospects will become increasingly popular. Scarcity always favors those with high certainty and large growth potential.
The main players in this round of market are large funds and institutions. They speak with data and vote with real money. The era of retail follow-the-leader is over.