程序员送外卖，白领开网约车…2028年，你的工作在第几层？

Core Insights - The report from CitriniResearch outlines a hypothetical scenario where the rapid advancement of AI leads to a "Global Intelligence Crisis," characterized by a significant economic downturn despite technological progress [1][8] - The central thesis posits that if AI continues to exceed expectations but fails to generate income for the majority, it could result in a severe "intelligent deflation crisis" [1][4] Market Conditions - By October 2026, the S&P 500 reached nearly 8000 points, and the Nasdaq surpassed 30,000 points, driven by companies replacing human labor with AI, leading to soaring profits and stock prices [6][13] - The initial layoffs due to AI obsolescence were perceived as a normal adjustment, with widespread belief that AI would create new job opportunities despite the destruction of old ones [6][12] Economic Disruption - The report highlights a significant decline in "human intelligence premium," as AI made human intellect a surplus resource, undermining traditional economic structures like home loans and tax revenues [4][18] - The consumer economy, heavily reliant on white-collar workers, began to falter as these workers were displaced by AI, leading to a structural decline in spending and a spike in unemployment rates, which reached over 10% [11][18] Financial System Breakdown - The mortgage market, valued at $13 trillion, faced instability as high-income white-collar jobs were replaced, leading to a reassessment of prime mortgages and a decline in housing prices in major cities [18][19] - The interconnected nature of financial systems revealed vulnerabilities, as defaults began to emerge in sectors heavily reliant on white-collar productivity, challenging the assumptions of recurring revenue models [19][20] Consumer Behavior Changes - AI agents began to dominate consumer decision-making, leading to the collapse of traditional business models that relied on consumer inertia and friction, such as travel booking platforms and subscription services [32][55] - The average customer lifetime value in subscription economies declined as AI agents negotiated better deals, fundamentally altering the dynamics of consumer transactions [54][55] Implications for Investment - The report suggests that business models dependent on intermediaries and transaction fees may face permanent valuation adjustments as AI continues to optimize processes and eliminate costs [6][44] - Companies that were once resistant to technological disruption became aggressive adopters of AI, leading to a self-reinforcing cycle of job cuts and increased investment in AI capabilities [27][28] Societal Considerations - The report raises critical questions about the future of wealth distribution in a scenario where AI generates significant economic output without human involvement, leading to potential societal challenges [6][8] - It emphasizes the need for a rethinking of economic systems to address the implications of "ghost GDP," where wealth generated by machines does not circulate through the human economy [18][19]