Tech

DeepSeek AI Model Release Could Spark Nasdaq Volatility

China’s DeepSeek is poised to release a new AI model soon after the Lunar New Year, according to CNBC. Such milestones have historically moved Nasdaq-listed stocks and Nvidia, though independent verification of the market moves is pending.

📅 February 23, 2026
⏱️ 2 min read
DeepSeek AI Model Release Could Spark Nasdaq Volatility

Key Takeaways

  • DeepSeek plans to release a new AI model imminently after the Lunar New Year (CNBC).
  • Past DeepSeek launches were followed by notable moves in the Nasdaq Composite and Nvidia.
  • DeepSeek's claimed cost and speed (two months, under $6 million) lack public corroboration.
  • JPMorgan’s trading desk remains tactically bullish on megacap tech despite AI angst.

People Involved

  • No specific individuals mentioned

Entities Involved

  • DeepSeek (China) AI model developer
  • NVIDIA Corporation (NVDA) Semiconductor and AI accelerator supplier
  • JPMorgan Chase & Co. (JPM) Investment bank and trading desk cited
  • VanEck Semiconductor ETF (SMH) Semiconductor-focused ETF
  • iShares Expanded Tech-Software Sector ETF (IGV) Tech software ETF
  • Nasdaq Composite Stock market index
  • S&P 500 Stock market index
  • Dow Jones Industrial Average Stock market index

MarketMoodz Analysis

Near-term volatility could hit Nasdaq stocks as AI milestones approach, with semiconductors and megacap tech likely to be most sensitive; investors should consider hedges and risk controls to manage potential drawdowns.

The CNBC piece recalls a past DeepSeek launch in January 2025 that coincided with meaningful market moves: Nasdaq Composite fell about 1.1%, Nvidia declined roughly 17%, while broader indices also moved lower; however, those figures require independent data verification.

What to watch next: Nvidia earnings, any official DeepSeek statements, and evolving macro risks (tariff policy changes, geopolitical tensions). Monitor liquidity metrics and hedging activity to gauge risk appetite around AI milestones.

Source: Original Article

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