世间再无周金涛

Core Viewpoint - The article reflects on the legacy of Zhou Jintao and his contributions to the understanding of economic cycles, particularly the Kondratiev wave theory, and how his predictions have played out over the years, especially in relation to real estate and commodity markets [5][9][21]. Group 1: Zhou Jintao's Predictions and Theories - Zhou Jintao predicted that 2018 would be the darkest moment of the Kondratiev cycle, with 2019 marking the beginning of a new cycle, which he believed would provide significant wealth opportunities for those born after 1985 [6][10]. - His theory, known as the "Tao Movement Cycle Theory," incorporates real estate cycles into the traditional Kondratiev wave, suggesting that individuals have limited opportunities for wealth accumulation throughout their lives [14][20]. - Zhou's insights into the cyclical nature of the economy were evident in his analysis of the 2008 financial crisis and its implications for global markets, emphasizing the need for a clear framework to understand economic turmoil [11][12]. Group 2: Market Developments and Real Estate - Following Zhou's predictions, the real estate market in China experienced significant fluctuations, with prices in major cities rising dramatically despite his warnings of a peak [7][18]. - By 2025, the article notes that the prices of second-hand homes in major cities had largely erased gains made since 2016, reflecting a harsh correction in the real estate market [9][20]. - Zhou's assertion that gold would outperform in a declining dollar environment was challenged as gold prices remained stagnant for an extended period, while real estate prices surged [7][18]. Group 3: Economic Cycles and Innovations - The article discusses how Zhou's theories did not fully account for the resilience of the Chinese real estate market and the strength of the dollar, which persisted longer than he anticipated [18][21]. - It highlights the unexpected impact of the COVID-19 pandemic and the subsequent AI revolution, which disrupted traditional economic cycles and led to significant volatility in commodity prices [26][32]. - Zhou's predictions regarding the long-term stagnation of commodity prices post-2019 were proven overly simplistic, as the market experienced unprecedented fluctuations due to external shocks and technological advancements [26][32].