AI's 'Moat' Deficit: Steve Eisman's Warning and Investment Risks

Steve Eisman, the investor featured in 'The Big Short,' cautioned that artificial intelligence giants driving the stock market may lack competitive moats, posing long-term sustainability risks. He highlighted that customers freely switch between chatbots like ChatGPT, Gemini, and Claude, undermining pricing power despite trillions in capital expenditures. Comparing AI developers to capital-intensive airlines, Eisman argued for investing in suppliers (Nvidia, Cisco) rather than developers, echoing the dot-com era playbook.

■AI spending now contributes roughly 1% of U.S. GDP growth, half of this year's total.

■Oracle's $600 billion backlog is nearly 50% tied to OpenAI, raising concentration concerns.

■The software sector faces a looming $500 billion maturity wall in 2028-2029, with weak credit metrics.

■Traditional 60/40 portfolios may lack diversification as mega-caps dominate both equity and bond markets.

Markets cannot view this as merely a tech sector risk. Eisman's critique challenges core assumptions behind AI-driven investments. As Kemal Tekin, EM Desk Chief, I see this as a potential catalyst for reshaping global risk profiles, especially in Asia-Pacific markets where central banks and hyperscalers like Microsoft and Apple are amplifying AI-linked asset correlations.