According to CoinMeta, a16z partner Tim Sullivan stated that after AI significantly reduced content production costs, "junk content" surged. The moral panic surrounding AI creation is not a new phenomenon. Historically, every time production costs decreased, it led to an abundance of low-cost content and cultural controversies. Research indicates that "taste" is not a single ability, but rather a combination of mechanisms such as the judgment of success, information acquisition across different circles, and professional judgment formed through long-term training. Research from Columbia universities shows that social influence and path dependence significantly affect whether a work becomes a hit, and experts also find it difficult to reliably predict who will succeed. Sullivan believes that with the widespread adoption of AI, human roles will shift towards verification and judgment, and judgment requires cultivation through apprenticeship, feedback, and long-term practice. If companies weaken their training systems by replacing junior positions with AI, they may reduce costs in the short term, but this could lead to a shortage of talents with mature judgment in the future. Therefore, in the AI era, what will truly be scarce will be talents capable of developing good judgment, as well as network and social infrastructure.