a16z: What is really scarce in the AI era is not "favorite" but a social infrastructure that builds judgement

in a 16z partnership, Tim Sullivan wrote that after the significant reduction in the cost of content production by AI, the "waste content" surged and that the moral panic surrounding the creation of AI was not new. Every time production costs fall in history, there is a great deal of low-cost content and cultural controversy. Studies have shown that "temperature" is not a single ability, but a combination of successful judgement, cross-circle access to information and long-term professional judgement. Studies at the University of Columbia show that social impact and path dependence significantly influence the ability of a work to become a bomb, and that it is difficult for experts to predict success in a stable manner. Sullivan believes that when AI becomes universal, the human role will shift to validation and judgement, which needs to be nurtured through apprenticeships, feedback and long-term practice. If an enterprise weakens the training system by replacing a junior position with AI, it can reduce costs in the short term, but it may lead to a future shortage of skilled personnel with mature judgement. The real scarcity of the AI era will therefore be the development of good judgement, networks and social infrastructure。