来自“2028年6月的研究报告”：当AI超越预期，经济却崩了

Core Insights - The macro memo from CitriniResearch and Alap Shah presents a hypothetical scenario where AI surpasses optimistic expectations but does not necessarily benefit assets and the economy. Instead, it may lead to a contraction in demand and financial repricing due to the displacement of labor income and consumption cycles [1][2] Economic Impact - The memo outlines a scenario where the U.S. unemployment rate rises to 10.2%, 0.3 percentage points higher than expected, leading to a 2% market drop and a 38% cumulative decline in the S&P 500 from its peak in October 2026 [1] - The report describes a "Ghost GDP" phenomenon, where output is recorded in national accounts but fails to circulate in the real economy due to the displacement of white-collar jobs by AI [1][2] Labor Market Dynamics - The initial wave of layoffs in early 2026, driven by AI advancements, results in cost reductions and increased profit margins, leading to a temporary stock market surge. However, this is followed by a decline in real wage growth and a shrinking consumer base, which constitutes about 70% of GDP [2][3] - The memo emphasizes that the wealth generated from AI primarily benefits the owners of computational power, while labor income declines, leading to a negative feedback loop in the economy [2] Software Industry Disruption - The software sector is identified as the first domino to fall, with the emergence of programming tools that allow companies to replicate mid-tier SaaS products, prompting procurement managers to reconsider vendor contracts [3] - The competitive landscape shifts as companies increasingly opt for self-built solutions, leading to price wars and eroding traditional competitive advantages [3] Corporate Responses - Companies facing AI disruption are noted to adopt aggressive self-rescue strategies rather than resisting change, leading to a cycle of layoffs and reinvestment in AI tools [4] - The memo highlights a case where ServiceNow experiences a significant drop in annual contract value growth and announces layoffs, reflecting the direct impact of AI on employment and revenue [4] Financial Sector Vulnerabilities - The memo discusses the rapid growth of private credit, which has increased from under $1 trillion in 2015 to over $2.5 trillion by 2026, with a significant portion directed towards software and tech LBOs [13] - The potential for defaults in software-backed loans is highlighted, with specific examples of companies like Zendesk facing severe financial distress [13] Housing Market Risks - The U.S. residential mortgage market, valued at approximately $13 trillion, faces risks as AI-driven changes lead to structural shifts in income expectations, undermining the reliability of borrower cash flows [15] - Early signs of mortgage stress are observed, with increasing defaults in high-tech job markets, indicating a potential crisis brewing in the housing sector [15][16] Policy Challenges - The memo critiques traditional policy tools, suggesting that while they may address financial issues, they fail to remedy the underlying economic problems caused by the devaluation of human labor [17] - The report anticipates a significant decline in federal revenue due to the structural changes in labor income, leading to discussions around new economic policies to address these challenges [18] Societal Implications - The memo notes rising social tensions, exemplified by protests against tech companies, indicating that the pace of institutional change is lagging behind technological advancements [19] - The report concludes with a warning about the need for a new economic framework to adapt to the changing landscape driven by AI, emphasizing the importance of reassessing traditional cash flow assumptions [20]