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AI Stocks Face Volatility as Nvidia and Meta Slip amid China’s H200 Chip Surge and Strategic Deal Activity

Summarized by NextFin AI
  • Nvidia's share price declined by approximately 0.5% to $186.50 amid rising Chinese demand for its H200 GPUs, with orders exceeding 2 million units for 2026.
  • Chinese authorities have mandated local sourcing for at least 50% of chipmaking equipment by 2026, impacting global semiconductor supply chains.
  • Elon Musk's xAI is expanding its infrastructure to support AI training, while Meta is acquiring the AI startup Manus to enhance its capabilities.
  • Investor sentiment remains cautious due to geopolitical tensions and regulatory uncertainties affecting the AI sector's growth trajectory.

NextFin News - On December 31, 2025, after U.S. market hours in New York, AI-sector stalwarts Nvidia and Meta faced modest share declines amid a complex interplay of surging Chinese demand for Nvidia’s H200 GPUs and ongoing aggressive dealmaking in the artificial intelligence space. Nvidia has approached Taiwan Semiconductor Manufacturing Company (TSMC) to accelerate production of its flagship H200 graphics processing units (GPUs), triggered by Chinese technology firms placing orders exceeding 2 million units for 2026, a stark contrast to the approximately 700,000 units currently in Nvidia’s inventory, according to sources cited by Reuters.

The broader AI and tech mega-cap sector followed suit, with Microsoft and Meta also slipping amid thin year-end trading. Nvidia shares declined approximately 0.5% to $186.50 in after-hours trading, while Microsoft and Meta fell 0.8% and 0.9% respectively. Chipmakers linked to the AI supply chain such as AMD, Broadcom, Micron, and Marvell also saw share reductions, whereas TSMC's stock rose about 1.4%, signaling investor confidence in its ramp-up role.

This dynamic emerges against a backdrop of stringent U.S. export controls imposed during U.S. President Trump’s administration, which recently permitted H200 exports to China subject to a 25% tariff. Meanwhile, Beijing has not yet cleared these imports domestically. Additionally, Chinese authorities have mandated that domestic chipmakers source at least 50% of their equipment locally in 2026, aiming to diminish reliance on foreign technology and reshape global semiconductor supply chains. Chinese memory chipmaker ChangXin Memory Technologies is preparing for a substantial IPO in Shanghai and ramping investment in high-bandwidth memory (HBM), an indispensable component for AI acceleration.

Demand-side signals remain robust as well. Elon Musk’s xAI has expanded its compute infrastructure with a third data center acquisition to support AI training capacity reaching nearly 2 gigawatts and ambitions to scale its “Colossus” cluster in Memphis to at least one million GPUs. Concurrently, Meta announced its planned acquisition of Singapore-based, Chinese-founded AI startup Manus, valued between $2 billion and $3 billion, to further integrate cutting-edge AI capabilities into its platforms. Brookfield also launched Radiant, a cloud business leasing AI chips within its data centers, intensifying competition in the cloud AI infrastructure market.


The stock volatility and sector movement reflect investor uncertainty about how U.S.-China geopolitical and trade controls will evolve alongside AI capital expenditure trends in 2026. Nvidia is reportedly set to start producing additional H200 chips with TSMC in Q2 2026 and price them around $27,000 per unit, with initial shipments to China forecasted ahead of the Lunar New Year in mid-February.

Market participants are focusing sharply on whether supply constraints or regulatory shifts could disrupt AI sector demand momentum. The AI investment wave of 2025, driven primarily by spending on semiconductor chips, data centers, and cloud infrastructure, won’t sustain double-digit stock returns without seamless supply chain execution and regulatory clarity, according to Sam Stovall, chief investment strategist at CFRA.

The sector’s reaction also embodies the increased complexity of managing cross-border tech flows under U.S. export licenses. Washington’s renewal of TSMC’s annual export license to import U.S.-made chipmaking equipment for China marks a temporary regulatory relief but maintains a cautious stance given escalating U.S.-China tech tensions. This regulatory environment injects a near-term risk premium into chip stocks, especially those with significant exposure to China’s AI ambitions.

From a strategic standpoint, Nvidia is broadening beyond hardware, advancing talks to acquire Israeli AI startup AI21 Labs for up to $3 billion to deepen software and model-based AI capabilities, reflecting a trend of vertical integration across AI hardware and software stacks. Meanwhile, dealmaking activity, like Meta’s Manus acquisition, signals an accelerating consolidation and capability-building phase in the global AI ecosystem.

Looking ahead, the trajectory of AI stock volatility in early 2026 will hinge on two pivotal variables: the evolution of Chinese import approvals vis-à-vis U.S. export restrictions, and whether large-scale AI capital expenditures on compute hardware, servers, and power infrastructure meet or exceed optimistic budgetary expectations. Any signs of dampened orders or supply chain bottlenecks could propagate swiftly across the AI supply chain, from chip foundries to cloud service providers.

Overall, while the AI sector’s fundamentals remain robust with surging demand and expanding infrastructure investments, the current tug-of-war between geopolitical policy and supply chain realities is creating notable volatility in AI equities. Investors would be wise to closely monitor regulatory changes, cross-border chip trade developments, and dealmaking trends, as these factors will dictate the sustainability of AI-driven growth narratives throughout 2026 and beyond.

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