摩擦的终结：2028 年全球智能危机全纪实

Core Insights - The article discusses the impending "Global Intelligence Crisis" predicted for 2028, highlighting the collapse of traditional economic structures due to advancements in AI and the resulting implications for employment, profits, and societal contracts [1][19]. Group 1: Economic Changes - The marginal cost of software development is expected to plummet, transforming software from an asset to a commodity, leading to a drastic 85% decline in average contract value (ACV) in the SaaS industry within 18 months [3]. - The concept of "friction" in economics, traditionally seen as negative, is argued to be a source of profit, as it stabilizes wages and ensures the value of inventory; however, AI's efficiency may eliminate these frictions, leading to rapid arbitrage of excess profits [4]. Group 2: Employment Impact - By early 2028, significant job losses are anticipated in knowledge work sectors such as law and accounting, with AI capable of performing tasks that previously required large teams of professionals [7]. - The global unemployment rate in developed economies is projected to reach 10.2% by June 2028, marking a shift from financial crises to a lack of job opportunities, resulting in a structural collapse of consumer spending [8]. Group 3: Market Dynamics - The S&P 500 index is expected to drop from 8000 to 5000, not due to company failures but because the logic of price-to-earnings (P/E) ratios will fail as companies cut jobs to maintain growth while facing declining product prices [12]. - Investment preferences are shifting towards physical assets and commodities, such as energy companies and raw materials like copper and lithium, as a hedge against digital deflation [13]. Group 4: Political and Social Responses - Governments are likely to implement Universal Basic Income (UBI) to mitigate social unrest caused by high unemployment, leading to increased debt issuance [14]. - A new "computing tax" may be introduced for companies with significant computational power, indicating a shift in how data and computing resources are viewed as capital [15]. Group 5: Recommendations for Investors and Individuals - Investors are advised to short industries reliant on information asymmetry and to seek out unique assets that AI cannot replicate, such as human creativity and physical resources [17]. - Individuals should focus on developing aesthetic and decision-making skills, as these are less likely to be automated, and pay attention to offline experiences that may gain value in a digital oversaturated market [18].