Asia slips as U.S. AI stocks rebound

Asian share markets were mostly lower in early Tuesday trading, even after a rebound in artificial-intelligence-related stocks on Wall Street. Benchmarks declined in Japan, Australia and South Korea, and shares also fell in Hong Kong. Shanghai was an exception, with its market described as little changed. The moves reflect a cautious tone across the region rather than a broad follow-through on the U.S. technology rally.

The weakness in Asia came after a difficult period for global equities, with investors weighing higher borrowing costs and the implications for growth. Regional trading suggested that concerns about the macroeconomic backdrop and corporate earnings were outweighing the positive signal from U.S. technology stocks. Market participants were looking ahead to fresh data and company results for clearer direction.

In contrast to Asia, U.S. equities advanced, led by large technology and AI-related names. The S&P 500 (SPX) rose 0.4%, while the Nasdaq composite gained about 1.1%, reflecting stronger demand for growth-oriented stocks. Nvidia (NVDA) added about 1.4% and was cited as one of the strongest forces lifting the S&P 500, underscoring the ongoing influence of AI-linked companies on major U.S. indices.

The rebound followed the S&P 500’s worst week since June, suggesting some bargain-hunting or renewed appetite for technology after recent declines. Other major tech names also participated in the move, helping the Nasdaq outperform broader benchmarks. Even so, gains were selective rather than broad-based, with non-tech sectors showing more mixed performance.

A key factor hanging over equity markets has been the sharp rise in U.S. Treasury yields. The yield on the 10-year Treasury climbed to 5.14% from 5.09% late Friday, reaching its highest levels in years. These multi-year highs increase financing costs across the economy and can reduce the relative appeal of stocks versus bonds.

Much of the recent investment in AI chips and data centers has been funded with borrowed money, making the sector sensitive to higher interest rates. Rising yields can raise the cost of capital for companies building out AI infrastructure and may influence how aggressively they pursue new projects. This backdrop helps explain why enthusiasm over AI growth prospects is tempered by concern about tighter financial conditions.

Analysts noted that investors are awaiting an approaching wave of corporate earnings reports, which is contributing to the cautious tone in global markets. These results are expected to offer insight into how companies are managing higher borrowing costs and shifting demand, especially in capital-intensive areas like AI and data centers.

Until earnings provide more clarity, trading has remained uneven, with sharp sector rotations between technology and more defensive areas. The divergence between the U.S. tech-led rebound and softer Asian trading highlights how regional markets are responding differently to the same set of global forces. For now, elevated yields and earnings uncertainty continue to act as a counterweight to optimism around AI-driven growth.