Nvidia has just gone through its toughest five-day market correction since 2022, losing roughly $913 billion in market value. Regulatory probes and geopolitical tensions drove the selloff, which went beyond the single-day panic of the January 2025 DeepSeek shock and points to a wider rethink of how long the current pace of AI infrastructure growth can hold up under tighter Washington oversight.
Quick Take
- The crash: Nvidia shares plummeted over 18% across five sessions, erasing close to $1 trillion in market capitalization and pulling the stock below its 200-day moving average.
- The DeepSeek baseline: While the January 2025 DeepSeek shock caused a steeper single-day drop, this prolonged multi-day bleed represents a deeper fundamental reassessment of geopolitical risks facing AI hardware.
- The catalysts: Market panic was accelerated by emerging reports of a probe involving CEO Jensen Huang and ongoing concerns over billions in unauthorized hardware transfers to China.
- The AI infra impact: This drawdown reflects escalating friction between unconstrained LLM scaling ambitions and tightening export policies, threatening the broader semiconductor supply chain.
What happened
Over a brutal five-session stretch in November 2026, Nvidia stock plunged more than 18%, vaporizing an estimated $913 billion in market value and completing a fifth consecutive losing week. The climax of the rout was a severe single-day drop of 9.26% that wiped out roughly $450 billion on massive trading volume of over 300 million shares, decisively pushing the stock below its 200-day moving average. Overall, the company’s valuation has contracted by nearly $1.4 trillion – or 24% – since its record high in early October.
The trigger points for the selloff extend well beyond simple profit-taking. Investor sentiment was sharply dented by reports of an independent board investigation involving CEO Jensen Huang, compounded by fresh anxieties over billions of dollars in Nvidia hardware reportedly reaching restricted Chinese entities despite Washington’s export controls.
The damage rapidly cascaded through the broader technology ecosystem. As AI infrastructure sentiment soured, the PHLX Semiconductor Index plummeted over 12%, dragging down key competitors like AMD, and leaving the Nasdaq Composite and S&P 500 nursing significant multi-day losses.
Why it matters now
Nvidia’s market cap isn’t just a financial metric; it is the ultimate proxy for the global AI infrastructure race. For the past three years, the relentless accumulation of GPUs by hyperscalers – OpenAI, Microsoft, Google, and Meta – has been treated as an unstoppable megatrend underwriting the future of LLMs. This crash introduces a jarring friction point: the geopolitical reality that silicon supply chains are highly vulnerable to Washington’s regulatory hammer and international export controls.
The ghost of DeepSeek still heavily informs how the market digests AI infrastructure shocks. When the Chinese AI lab released highly efficient models in early 2025, it triggered a 16.97% single-day flash crash for Nvidia by proving that intelligence scaling might not always require brute-force GPU supremacy. This latest five-day slide is arguably more consequential because it isn’t just about algorithmic efficiency; it’s about a potential regulatory chokehold on the very hardware pipeline that feeds global AI development.
If the allegations of supply chain leakage to China trigger stricter US export mandates, the foundational economics of AI infrastructure will shift. Hyperscalers may face higher compliance costs, delayed deployments, or bifurcated hardware markets, directly impacting the timeline and cost structure for training the next generation of frontier AI models.
Who is most affected
The blast radius of an Nvidia reset hits every layer of the AI stack, from retail investors to sovereign states building sovereign AI clouds. For enterprise CTOs and AI founders, the cost and availability of compute is intrinsically tied to Nvidia’s ability to navigate these regulatory bottlenecks without slowing its hardware delivery roadmap.
| Stakeholder | Impact | Why |
|---|---|---|
| Hyperscalers (Cloud) | Supply Chain Friction | Stricter Washington export controls could throttle GPU availability and alter data center buildouts. |
| AI Semiconductor Peers | Sector Contagion | AMD and the broader PHLX index suffered double-digit drops as faith in unchecked AI infra spending wavered. |
| Model Builders | Compute Uncertainty | Any slowdown in Nvidia’s operational momentum threatens the rollout of next-gen clusters needed for frontier LLMs. |
About the analysis
Researched and written with AI assistance under the editorial responsibility of the i10X News team. The title image is an AI-generated image. Read our AI Use Policy. Spotted an error? Request a correction.
This is an independent, research-based i10x analysis designed for AI founders, infrastructure architects, and market strategists to decode the systemic risks embedded in the hardware supply chain.
- Nvidia Just Had Its Worst 5 Days Since 2022, Worse Than the DeepSeek Crash
- Nvidia Just Had Its Worst Day Since DeepSeek, Losing About $450 Billion
- Nvidia Is Worth $1.3 Trillion Less After Its 5th Straight Losing Week
- Nvidia Just Had Its Worst Day Since DeepSeek, Losing About $450 Billion
- Nvidia has lost nearly $1.4 trillion since its October record
- NVDA stock crash: Nvidia’s worst day since the DeepSeek shock – The AI giant fell 9% and is now down for the year
i10x Perspective
We are witnessing the maturation of the AI hardware market, transitioning from a phase of euphoric, unquestioned capacity buying to a complex era of geopolitical risk management. As alternative algorithmic efficiencies continue to emerge, Nvidia’s valuation can no longer rely purely on hardware supremacy. The true bottleneck for scaling machine intelligence is shifting from sheer silicon capabilities to the treacherous interplay of global regulation, supply chain policing, and the increasingly scrutinized economics of compute.
