Topic: Economic Turing Test

Today we delve into a comprehensive framework for the emerging AI economy proposed by Wang Jie, an early AI investor and angel investor in Moore Threads. As Scaling Law continues without convergence, we observe a non-linear and non-uniform development where AI inference costs drop 90% annually while capability density doubles every 100 days. We anticipate the full integration of AI across global industries to take 40 to 60 years, likely maturing between 2035 and 2050. A pivotal metric introduced is the Output Augmentation Multiple, which quantifies the productivity ratio between AI systems and human labor for identical tasks. By evaluating these shifts through an Economic Turing Test, we can better understand the transition toward a non-scarcity economy where total output significantly exceeds demand. This analysis provides developers and strategists with a rigorous methodology to track the structural evolution of global GDP, potentially increasing it fivefold in the coming decades.