Nvidia’s Stellar Earnings Spark Asian Tech Rally Amid Global AI Skepticism

Nvidia’s fourth-quarter earnings report has once again served as a powerful catalyst for global markets, specifically lifting major Asian indices during Thursday’s trading session. The Santa Clara-based chipmaker reported revenue and earnings that comfortably cleared Wall Street’s high bars, driven by insatiable demand for its next-generation AI accelerators. However, the market reaction has been uncharacteristically split; while Asian tech stocks surged on the news, U.S. pre-market indicators showed signs of exhaustion, suggesting that for some investors, even 'blockbuster' results are no longer enough to sustain the breakneck momentum of the past year.

In Tokyo, the Nikkei 225 saw significant gains, led by semiconductor-related heavyweights like Advantest and Tokyo Electron. The Japanese market remains highly sensitive to Nvidia’s trajectory, as local firms provide the essential testing equipment and materials required for high-end GPU production. Similarly, in Seoul, the KOSPI was bolstered by a rally in memory chip manufacturers. SK Hynix, a primary supplier of High Bandwidth Memory (HBM) to Nvidia, saw its shares climb as investors bet on continued volume increases throughout 2026. This regional optimism reflects Asia's position as the 'engine room' of the AI revolution, where tangible hardware orders translate directly into balance sheet growth.

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SK Hynix, a primary supplier of High Bandwidth Memory (HBM) to Nvidia, saw its shares climb as investors bet on continued volume increases throughout 2026.

Nvidia CEO Jensen Huang used the earnings call to push back against growing fears regarding 'agentic AI' and the potential for an AI bubble. Huang argued that the market has fundamentally misunderstood the transition toward autonomous AI agents, which he believes will drive the next massive wave of compute demand. This defense comes at a critical time, as some institutional investors have begun to question the return on investment (ROI) for the hundreds of billions being spent on AI data centers. The 'capital return' debate is now front and center, with analysts closely watching whether the software and services layer of the AI economy can eventually match the profitability of the hardware layer.

Beyond the immediate numbers, the market reaction reflects a broader relief that the AI infrastructure cycle has not yet reached its peak. Throughout late 2025, there were concerns that major cloud service providers—Nvidia’s primary customers—might begin to taper their capital expenditures. Nvidia’s robust forward guidance indicates that these 'hyperscalers' are instead doubling down on sovereign AI initiatives and large-scale model training. The transition to the Blackwell architecture appears to be proceeding at scale, with yields improving and enterprise adoption accelerating beyond the initial pilot phases.