The Nvidia stock crash has triggered a wider sell-off across the global artificial intelligence industry, affecting chipmakers, cloud computing providers and companies supplying data centre infrastructure. Investor concerns intensified following the reported resignation of CEO Jensen Huang on November 12, adding uncertainty around one of the world's most influential technology companies.
Nvidia plays a central role in the AI ecosystem through its graphics processing units (GPUs), which are widely used to train and operate artificial intelligence models. Its chips power infrastructure used by major technology companies, cloud providers and emerging AI businesses.
According to the figures cited in the report, Nvidia shares fell as much as 14.3% during trading on November 12 before recovering some losses to close 5.4% lower. The company's market value faced the risk of dropping below $4 trillion after reportedly losing more than $1 trillion over the preceding month.
Why Has Nvidia's Stock Come Under Pressure?
The company's difficulties intensified after its board reportedly began investigating Jensen Huang's relationship with a businesswoman suspected of having links to Chinese espionage. Huang subsequently resigned, while Chief Financial Officer Colette Kress was appointed interim CEO as the company searches for a permanent successor.
Beyond the leadership crisis, investors are also concerned about rising interest rates, increasing debt among technology companies, regulatory pressure and the sustainability of massive AI infrastructure investments.
Market participants are questioning whether the enormous spending on chips, cloud computing and data centres will generate sustainable financial returns.
Nirav Karkera, Head of Research and Fund Manager at W by Groww, said investor concerns appeared to be focused more on governance than weakening demand for AI infrastructure.
AMD and Broadcom Gain as Nvidia Slips
Nvidia's competitors have emerged as potential beneficiaries of the uncertainty. Shares of Advanced Micro Devices (AMD) and Broadcom reportedly rose more than 4% each on November 12.
Investors are considering whether technology companies will diversify their chip suppliers rather than remain heavily dependent on Nvidia.
Intel is also seeking to strengthen its position in the AI semiconductor market. Although Nvidia maintains a strong presence in GPUs, increasing demand for AI computing could create opportunities for competing manufacturers.
For AI developers and cloud providers, a broader supplier base could offer greater flexibility and reduce dependence on a single chipmaker.
CoreWeave and Nebius Face Pressure
The impact has also reached companies providing computing infrastructure to AI businesses, particularly specialised cloud providers known as neocloud companies.
CoreWeave shares fell 8.1% during Thursday's trading session. Nvidia had invested $2 billion in the company in January 2026, becoming its second-largest shareholder.
Nebius shares reportedly plunged 18% after the company lowered its revenue forecast for 2026. Other AI infrastructure businesses, including IREN and Applied Digital, also traded lower.
Karkera said Nvidia's investments in companies that purchase its chips have created financial connections across the AI ecosystem. Consequently, uncertainty surrounding Nvidia can affect businesses further down the supply chain.
AI Infrastructure Companies Also Hit by Sell-Off
The pressure extended beyond semiconductor manufacturers and cloud providers.
Super Micro Computer, which supplies servers used in AI data centres, reportedly saw its shares fall 12%. Memory chipmaker Micron Technology, storage companies SanDisk and Western Digital, and photonics suppliers Lumentum and Coherent also faced selling pressure.
Oracle, which is expanding its cloud AI infrastructure using Nvidia technology, also experienced a decline in its shares.
These developments highlight the interconnected nature of the AI industry, where chip suppliers, server manufacturers, storage companies and cloud providers are exposed to similar changes in investor sentiment.
What Lies Ahead for the Global AI Race?
Despite the market volatility, Nvidia's reported financial performance underlines the continuing scale of demand for AI infrastructure.
The company reported revenue of $96.2 billion in the second quarter of fiscal 2027, representing a 106% increase from the same period a year earlier. Its data centre business generated $89 billion, accounting for most of its revenue.
However, investors are increasingly looking beyond revenue growth to assess whether AI infrastructure spending can deliver long-term returns.
Uditanshu Agarwal, Director at Staunch Electronics, said the volatility demonstrated how developments involving a major technology company could influence the broader semiconductor and AI industries.
He also highlighted an opportunity for India to strengthen domestic electronics manufacturing, supply chains and technology infrastructure as global AI adoption expands.
Nvidia's upcoming quarterly results are expected to provide further indications of chip demand and future growth. For now, the stock decline has created opportunities for competitors while raising questions about the financial sustainability of the wider AI boom.
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