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MarketsMarketWatchJun 11, 2026· 1 min read

Goldman Sachs Warns of Rising Risks for AI Stocks Amid Soaring Capex

Goldman Sachs warns of increasing risks for AI stocks due to a projected surge in AI-related capital expenditures, suggesting current forecasts of $920 billion by 2027 are likely too low. This aggressive spending could lead to market volatility and potential oversupply if demand does not match capacity growth.

Goldman Sachs analysts are sounding a cautious note on the burgeoning artificial intelligence (AI) sector, highlighting elevated risks for AI stocks as capital expenditures (capex) surge. The investment bank suggests that current market forecasts for AI-related capex, which project $920 billion by 2027, may be significantly understated. This implies a more aggressive spending trajectory than widely anticipated, particularly in the infrastructure required to support AI development and deployment. The substantial increase in capex signals robust investment in AI technologies, including data centers, specialized hardware like GPUs, and foundational models. While this investment is crucial for advancing AI capabilities and expanding its applications across various industries, Goldman Sachs identifies the rapid escalation of spending as a potential source of market volatility for AI-exposed equities. The concern stems from the possibility that these massive capital outlays could lead to oversupply or diminishing returns on investment if demand growth for AI infrastructure does not keep pace with capacity expansion. Furthermore, the report implicitly points to the increasing concentration of capital in a few key players that are both investing heavily and benefiting from this capex cycle. This dynamic could exacerbate competitive pressures for smaller firms and create a more winner-take-all environment. Investors are advised to scrutinize the sustainability of these capex trends and the underlying profitability of AI ventures, as the current boom could be masking future challenges related to cost recovery and market saturation.

Analyst's Take

The overlooked aspect here is the potential for significant supply chain strains in the medium term, particularly for specialized components like advanced GPUs and power infrastructure. While current capex boosts hardware manufacturers, future growth could be bottlenecked by manufacturing capacity and geopolitical tensions, leading to delayed deployments and higher input costs across the AI ecosystem, potentially impacting operating margins of even leading AI developers.

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Source: MarketWatch