Recently, an analysis report pointed out that due to the impact of artificial intelligence (AI) on white-collar jobs and its chain reactions, the stock market may struggle to find a bottom in the short term. The core argument of the report is that the rapid development of AI could lead to a swift rise in unemployment, which in turn would compress wages and consumption, ultimately triggering a contraction in demand and financing difficulties. This 'phantom GDP' scenario is considered a potential short-term threat to the stock market.
The core mechanism of this analysis is speed: the rate of increase in unemployed individuals exceeds the ability of businesses to adapt and policy responses, leading to dual pressures on wages and consumption. This chain reaction is not caused by a single external shock but rather by internal structural changes.
Current discussions in the market regarding risk pricing and the overvaluation of tech stocks align with the assumptions of this report. If the phenomenon of labor being replaced on a large scale and wage growth slowing occurs faster than expected, then before policy interventions stabilize demand, corporate profitability and credit quality may face challenges.
However, mainstream views also express uncertainty about the timing of this conclusion. Although AI may reduce routine white-collar jobs, employee retraining, job adjustments, and business model transformations could spread the impact across multiple economic cycles, thereby weakening the feedback effects in the worst-case scenario.
Critics from fields such as market making, asset management, and banking argue that the report exaggerates the speed at which unemployment will broadly impact overall demand. They point out that existing economic buffering mechanisms, policy interventions, the health of corporate balance sheets, and the adaptability of businesses are all factors that prevent extreme risks from becoming a widespread outcome.
Several institutions, including Citadel, Deutsche Bank, Fidelity, and Liontrust, have questioned the mechanism of 'phantom GDP' and its reliance on the rapid, synchronized white-collar unemployment driving a consumption collapse. As summarized by Financial Advisor Magazine, they believe this scenario is “at best fanciful.” Further analysis from Seeking Alpha suggests that companies in software platforms and essential services are more likely to make adaptive adjustments, indicating that disruption will be uneven rather than a universal collapse.
Nevertheless, JPMorgan CEO Jamie Dimon warned that the market may underestimate the risks associated with AI, high-tech valuations, geopolitical tensions, and fiscal pressures. He believes that the market could see adjustments in the coming months, reflecting accumulated uncertainty rather than a definitive downward path. He has stated that AI could replace many jobs, especially in routine white-collar sectors, but the specific timing remains uncertain. He also called for the prompt introduction of retraining and income support programs if AI accelerates its adoption, to cushion the impacts of rapid changes.
Common Questions About the Stock Market Bottom
Is there reliable evidence that AI will trigger large-scale white-collar unemployment and create 'phantom GDP'?
Currently, the evidence is contentious. Critics argue that the chain reaction of large-scale unemployment and 'phantom GDP' is speculative.