#JensenHuangResigns #ShareWeekly

NVIDIA AFTER JENSEN HUANG’S RESIGNATION: A LEADERSHIP SHOCK, AN AI INDUSTRY TEST, AND A GLOBAL MARKET STORY

NVIDIA’s leadership transition has become one of the biggest technology stories of November 2026. The company confirmed that Jensen Huang resigned as President, CEO and board member with immediate effect on November 12. CFO Colette Kress has taken over as interim CEO, while the board searches for a permanent successor.

The market is now weighing two different questions: can NVIDIA keep delivering world-leading AI computing, and can its next leadership team maintain the confidence of customers employees and investors?

1. NVIDIA STOCK PRICE AND MARKET CAPITALIZATION

At the November 12 regular-session close, NVDA stood at $166.19, down $7.54 or 4.34% for the day. The stock opened at $150.99, traded between $148.80 and $167.14, and volume reached approximately 740 million shares, compared with an average near 131 million.

NVIDIA’s market value was reported near $4.01 trillion. Daily market-cap history showed approximately $5.25T on October 27 and $4.01T on November 12: a decline of roughly $1.24T, or 23.6%, from that observation. The company had also lost nearly $500B in value since the previous Friday’s close, according to reports.

For traders, $148.80 is the latest reported intraday low and an immediate reference, not a guaranteed support level. A sustained recovery above $167.14 would show buyers regaining short-term control; a move back above $173.73, the previous close, would help repair the immediate breakdown. These are reference levels from the reported session, not predictions.

2. GLOBAL DEMAND FOR AI CHIPS

The AI chip market is bigger than one executive. Cloud providers, banks, healthcare companies, governments, software developers and manufacturers are building AI systems that require accelerators, high-bandwidth memory, advanced packaging, networking, storage and reliable electricity.

Reuters reported that analysts still expected chip demand to exceed supply and forecast NVIDIA’s October-quarter revenue to rise 92% year over year, with net profit increasing 89% to more than $60B. Those are analyst expectations, not confirmed results.

The bullish case is that AI workloads keep expanding and customers continue buying more compute. The cautious case is that spending grows faster than monetizable AI revenue. If utilization rates disappoint, cloud customers may delay orders, renegotiate delivery schedules or use more in-house chips.

3. AMD AND OTHER SEMICONDUCTOR COMPETITORS

AMD is the clearest alternative investors are watching. Reuters reported that AMD’s third-quarter data-centre revenue rose 97% to a record $8.55B, total revenue increased 45% to $13.38B, and adjusted earnings reached $2.09 per share.

Broadcom is another important competitor through custom AI accelerators and networking. Its shares gained about 5.5% in the session reported after the NVIDIA news. Google is also expanding its own Tensor Processing Units, while Amazon develops Trainium and Inferentia chips.

A rotation from NVDA into AMD or Broadcom may support competitors in the short term. However, a rival’s share-price rally does not prove it can replace NVIDIA at scale. NVIDIA’s CUDA ecosystem and integrated rack-scale systems remain important competitive advantages.

4. MICROSOFT, GOOGLE, AMAZON AND META: THE AI INVESTMENT CYCLE

The biggest cloud companies are spending enormous sums on data centres, chips, networking and power. Microsoft reported quarterly capital expenditure of $45.2B, up from $34.9B a year earlier, and its 2026 spending had reached $118.1B by the reported period.

Alphabet’s investor material indicated expected 2026 capital expenditure of around $180B–$190B, compared with $91B in 2025 and $53B in 2024. Google is investing in both NVIDIA hardware and its own TPUs.

Amazon’s 2026 capital expenditure was reported near $220B, while Meta’s planned spending was around $125B in one industry estimate. Their combined spending exceeded $199B of operating cash flow, and combined free cash flow fell to negative $32B.

Higher spending is positive for chip suppliers when it creates real orders.

5. POSSIBLE IMPACT ON US STOCKS AND THE NASDAQ

NVIDIA is a major index constituent, so a large move can influence the Nasdaq and S&P 500 through both its direct index weight and investor sentiment. NVIDIA’s early decline was reportedly as large as 14.3% before the shares recovered to finish down 4.34%.

A concentrated selloff in mega-cap technology can pressure index funds, semiconductor ETFs, growth stocks and companies tied to data-centre construction. Yet the broader market does not have to follow one stock lower. This is evidence of rotation, not proof that risk has disappeared.

If NVIDIA stabilizes and earnings confirm demand, technology shares could recover. If leadership uncertainty combines with weaker AI spending, elevated bond yields or disappointing earnings, valuation pressure could spread.

6. BITCOIN AND THE CRYPTOCURRENCY MARKET

Bitcoin is not directly controlled by NVIDIA, but both can respond to global liquidity, interest-rate expectations and appetite for risk. When investors reduce exposure to high-growth technology shares, some also reduce positions in volatile crypto assets.

The November market research noted that BTC had broken below $80,000 on October 24 and again on October 29 as technology shares weakened. That historical observation illustrates the relationship during that period; it is not a live Bitcoin quote or a forecast. Traders should verify the current BTC and ETH prices before publishing exact levels.

If the AI selloff becomes a broad risk-off event, BTC may face selling and altcoins may experience larger percentage moves because of thinner liquidity. Avoid assuming that every NVDA red candle means Bitcoin must fall.

7. GOLD, OIL AND THE WIDER FINANCIAL MARKETS

Gold responds to real yields, the US dollar, central-bank demand and geopolitical risk. Higher Treasury yields and a stronger dollar can pressure gold because non-yielding bullion becomes relatively less attractive. But geopolitical stress and demand for defensive assets can support it.

Oil follows supply, demand, inventories, shipping routes and geopolitical developments more directly than AI leadership. Reuters reported Brent near $95.82 per barrel after a 3.3% rise in one session, while another report cited Brent around $96.07 and US crude around $88.08.

The US dollar and Treasury market are crucial links between these assets. Reports said the 10-year Treasury yield moved above 5% and the dollar reached a 19-month high during the same volatile period. If yields and the dollar rise further, growth-stock valuations, gold and speculative crypto may face pressure.

8. LONG-TERM OPPORTUNITIES, RISKS AND INVESTOR STRATEGY

The opportunity is that AI adoption is still spreading across industries. NVIDIA has a deep software ecosystem, established customer relationships, advanced systems and a large engineering organization. A capable successor could preserve continuity, improve governance and keep the roadmap on schedule.

The risks are equally serious. A founder transition can unsettle employees, customers and partners. A prolonged search for a CEO may delay decisions. The AI investment cycle could also cool if customers fail to generate sufficient returns.

A disciplined investor can think in scenarios rather than make an emotional all-or-nothing decision. A bullish scenario requires a stable leadership transition, strong orders, resilient margins and continued cloud investment.

For short-term traders, the reported $148.80 low and $167.14 session high provide nearby reference points. A recovery above the session high may improve momentum, while a decisive break below the low would increase downside risk.

For long-term investors, compare valuation with earnings growth, free cash flow, gross margins, customer concentration and competitive positioning. Diversification across different sectors and asset classes can reduce the damage from a single-company shock.

The wider semiconductor cycle also depends on manufacturing capacity. TSMC’s advanced-node production, CoWoS packaging capacity, HBM supply from memory makers and the availability of data-centre networking all influence how many complete AI systems can ship. A shortage in any one link can delay revenue even when customer orders remain strong. Conversely, if capacity expands faster than demand, prices and margins could come under pressure. Investors should therefore watch delivery lead times, inventory, supplier commitments and customer cancellations alongside chip benchmarks.

For the four hyperscalers, the central question is return on investment. Microsoft needs Azure and Copilot adoption to support its spending; Alphabet needs cloud, Gemini and advertising efficiency to justify infrastructure; Amazon needs AWS growth and AI services to earn attractive returns; Meta needs better advertising performance and engagement from AI tools to offset infrastructure costs. These businesses can continue investing while also designing their own silicon, which means long-term AI growth does not guarantee that every dollar goes to NVIDIA.

MY FINAL VIEW

Jensen Huang’s resignation is a serious leadership event, but it is not proof that the AI revolution is over. The market is testing whether NVIDIA’s institutional strength can outlast its most recognizable leader.

The next major checkpoints are NVIDIA’s November 17 earnings, the board’s permanent CEO search, customer spending plans and evidence that AI demand is translating into profitable workloads.