2028“AI末日论”的历史反驳（国金宏观钟天）

Core Viewpoint - The 2028 AI apocalypse prediction is a thought experiment that underestimates human resilience and adaptability in the face of technological change [3][6]. Group 1: Historical Perspectives - John Maynard Keynes' 1930 work suggests that technological advancements could lead to a significant increase in living standards, with people working only 15 hours a week by 2030, similar to the AI apocalypse narrative that predicts mass unemployment due to AI [7][8]. - Bertrand Russell's "In Praise of Idleness" argues that technological progress should reduce necessary labor time, yet the reality has been increased work hours and job losses, indicating a disconnect between technological potential and societal adaptation [10][11]. - Robert Solow's "Solow Paradox" highlights that while technology progresses, its impact on productivity is gradual, suggesting that fears of rapid unemployment due to AI may be overstated [13][14]. Group 2: The Role of AI in Society - David Graeber's "Bullshit Jobs" critiques the notion that all jobs are essential, positing that AI could eliminate meaningless positions, leading to a more efficient society rather than a collapse [16][17]. - The report emphasizes that AI's role should be viewed as a catalyst for efficiency rather than a threat to societal structure, challenging the assumption that job loss equates to loss of value [16][17]. Group 3: Economic Adaptation - The article argues that human society is a complex adaptive system, capable of adjusting to technological disruptions, and that the predicted "apocalypse" may not materialize due to this inherent resilience [6][18]. - It suggests that the transition to an AI-driven economy could lead to a re-evaluation of work and value, potentially paving the way for concepts like Universal Basic Income (UBI) as society shifts from job-centric to human-centric models [17].