New Delhi: Nvidia’s sharp stock decline has sent shockwaves across the global artificial intelligence (AI) industry, putting pressure on semiconductor manufacturers, cloud computing providers and companies supplying infrastructure for AI data centres. The sell-off has intensified following the sudden resignation of chief executive Jensen Huang, raising questions about the technology giant’s leadership and the financial relationships supporting the wider AI boom.

Nvidia shares fell as much as 14.3% during trading on Thursday, November 12, before recovering some of their losses to close 5.4% lower, according to Reuters figures cited by India Today. The company’s market value also came under pressure after losing more than $1 trillion over the preceding month.

The decline comes at a time when technology companies are committing billions of dollars to AI infrastructure, including advanced processors, servers and data centres. Nvidia occupies a central position in this ecosystem because its graphics processing units (GPUs) are widely used to train and operate AI models.

The latest developments have therefore affected investor sentiment well beyond Nvidia itself, with several companies linked to its technology and financing ecosystem also recording losses.

Why has Nvidia stock come under pressure?

Nvidia’s immediate leadership uncertainty followed the resignation of Huang on November 12. The development came after the company’s board initiated an investigation into reports concerning his relationship with a businesswoman suspected of having links to Chinese espionage.

The allegations have not been established as facts. However, the controversy and the resulting leadership change have added to investor concerns about corporate governance and the future direction of the company.

Nvidia appointed chief financial officer Colette Kress as interim CEO while its board begins the search for a permanent successor.

Huang had led Nvidia through its transformation into one of the world’s most valuable technology companies. His leadership, product strategy and relationships across the technology industry helped establish the company as a major supplier of AI computing infrastructure.

However, concerns about Nvidia extend beyond the leadership transition. Investors are also examining the sustainability of large-scale AI investments, rising borrowing costs, regulatory pressure and the financial arrangements between Nvidia and companies purchasing its chips.

Nirav Karkera, Head of Research and Fund Manager at W by Groww, said the decline came at a time when investors were already cautious about the AI sector.

He suggested that governance concerns were weighing on sentiment, even as the company continued to benefit from strong demand for AI infrastructure.

AMD and Broadcom emerge as potential beneficiaries

Nvidia’s difficulties have created opportunities for competing semiconductor companies as investors consider whether technology businesses could diversify their chip suppliers.

Shares of Advanced Micro Devices (AMD) and Broadcom rose more than 4% each during Thursday’s trading session, according to Reuters figures cited in the India Today report.

The movement reflected expectations that some technology companies may seek alternatives to Nvidia rather than depend heavily on a single supplier for their AI computing requirements.

Nvidia continues to hold a strong position in the GPU market. Its processors are used for the demanding calculations required to train and run sophisticated AI systems. However, growing demand for computing capacity could create opportunities for competitors looking to expand their presence in the market.

Intel is also among the established semiconductor companies seeking to strengthen its position in the AI chip business.

For technology companies developing AI models, a wider choice of suppliers could help reduce dependence on one company and provide greater flexibility when planning infrastructure investments.

The gains recorded by AMD and Broadcom during the initial phase of Nvidia’s decline, however, did not guarantee that the wider semiconductor sector would remain insulated from the sell-off. Subsequent trading on Friday also saw renewed pressure on several chip stocks.

CoreWeave and Nebius face concerns over financing

The impact of Nvidia’s troubles has extended to specialised cloud computing providers, particularly companies that build and operate infrastructure for AI workloads.

These businesses, often referred to as neocloud providers, offer computing capacity to AI developers and other customers. Their operations depend heavily on expensive processors, data centres and access to financing.

Nvidia has invested in several companies operating in this segment, including CoreWeave and Nebius. Its investments have helped support the expansion of infrastructure built around Nvidia chips.

CoreWeave shares fell 8.1% on Thursday, while Nebius plunged 18% after lowering its revenue forecast for 2026. Other AI cloud companies, including IREN and Applied Digital, also traded lower.

Nvidia had invested $2 billion in CoreWeave in January 2026, becoming its second-largest shareholder as the companies worked to expand their partnership and increase data centre capacity in the United States.

The close financial relationship between Nvidia and some of its customers has now attracted greater scrutiny. Investors are questioning whether companies that depend on Nvidia for both technology and financial support could face difficulties if the chipmaker changes its investment or financing strategy.

Karkera said the impact was spreading because Nvidia occupied a central position in the AI industry’s financial ecosystem. Companies further down the value chain could be particularly exposed when confidence in a major investor and supplier weakens.

AI infrastructure companies also caught in the sell-off

The pressure has not been limited to semiconductor manufacturers and cloud computing providers. Companies supplying servers, memory chips, storage equipment and optical components have also faced selling pressure.

Super Micro Computer, which supplies servers used in AI data centres, saw its shares fall 12% on Thursday.

Memory chipmaker Micron Technology, storage companies Sandisk and Western Digital, and photonics suppliers Lumentum and Coherent were also affected.

Oracle, which is expanding its cloud AI infrastructure using Nvidia technology, recorded a decline as investors reassessed the outlook for companies closely connected to the AI investment cycle.

The developments highlight the interconnected nature of the AI industry. Semiconductor manufacturers supply processors, server companies build the systems required to run them, and cloud providers offer computing capacity to businesses developing AI products.

A shift in investor confidence towards one major player can therefore influence several businesses across the supply chain.

Strong revenue growth has not eased investor concerns

The market reaction comes despite Nvidia reporting substantial revenue growth.

The company recorded revenue of $96.2 billion in the second quarter of fiscal 2027, an increase of 106% compared with the same period a year earlier. Its data centre business generated $89 billion, accounting for the bulk of its revenue.

The figures underline the continued demand for AI computing infrastructure. However, investors are increasingly looking beyond revenue growth to assess whether the enormous investments being made in AI will produce sustainable returns.

Technology companies have committed significant resources to building data centres and expanding computing capacity. Questions about the profitability of these investments, the cost of borrowing and the pace at which AI services can generate revenue have contributed to uncertainty across the sector.

Nvidia’s upcoming quarterly results will be closely watched for indications of chip demand, data centre spending and the company’s future growth prospects.

What the Nvidia crisis could mean for India

The developments could also have implications for India’s technology and electronics manufacturing ambitions.

Uditanshu Agarwal, Director at Staunch Electronics, said the volatility surrounding Nvidia demonstrated how developments involving a major technology company could influence sentiment across the semiconductor and AI industries.

He argued that the long-term growth of AI would depend not only on chipmakers but also on manufacturing capabilities, reliable supply chains and investment in technology infrastructure.

For India, this could create opportunities to strengthen domestic electronics manufacturing and become more integrated into global technology supply chains. Increasing AI adoption is expected to require a broader ecosystem of electronic components, computing infrastructure and connected devices.

However, the wider industry impact will depend on how the current uncertainty develops and whether companies continue with their planned investments.

Nvidia’s stock decline has created opportunities for some competitors while exposing the financial risks faced by businesses closely linked to its ecosystem. Whether the episode remains a temporary reaction to a leadership crisis or leads to a broader reassessment of the AI boom will depend on investor confidence, future earnings and the industry’s ability to demonstrate sustainable returns from its massive infrastructure spending.

This article is for informational purposes and does not constitute investment advice. Investors should consult qualified financial advisers before making investment decisions.