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Nvidia's leadership crisis: Winners, losers and what it means for the AI trade
Key points:
- Nvidia's leadership uncertainty could accelerate a shift towards alternative AI suppliers. AMD, Broadcom, Alphabet and Samsung are among the potential beneficiaries, but actual market-share gains will take time.
- The bigger risk is disruption to the wider AI ecosystem. Rising debt financing, pressure on hyperscalers' free cash flow and regulatory uncertainty were already challenging the sustainability of AI spending.
- This is a test of the AI trade, not necessarily the end of it. Investors should distinguish between companies benefiting from continued infrastructure spending and those generating sustainable returns from AI adoption.
Nvidia's troubles come at a vulnerable moment for AI
Earlier this week, we looked at Nvidia's Jensen Huang scandal and what it means for investors. Since then, the situation has escalated.
Reports that Nvidia's board is considering removing CEO Jensen Huang have pushed leadership succession to the forefront. While the independent investigation remains ongoing and no departure has been confirmed, investors now need to take the possibility of a leadership change much more seriously.
The initial market reaction has been revealing. Nvidia shares have come under pressure, while rivals such as AMD, Broadcom and Alphabet have attracted interest as investors look for alternative ways to participate in AI growth.
But my concern goes beyond replacing a CEO. What happens to Nvidia's China ambitions, its key partnerships and the broader AI vision Huang has shaped?
Nvidia's technological advantage would not disappear with his departure. Its CUDA software ecosystem, product capabilities and customer relationships remain formidable strengths. But an abrupt exit without a credible succession plan could force investors to reassess how much of Nvidia's future depends on Huang personally.
And the timing is uncomfortable. The AI trade was already facing questions around infrastructure spending, financing and profitability.
The key question is whether Nvidia's problems simply redistribute AI spending towards competitors or begin to disrupt spending itself.
The first scenario could create opportunities across the AI supply chain. The second could be far more challenging for the entire sector.
What could Nvidia's crisis mean for the next phase of the AI trade?
So far, markets have largely treated Nvidia's crisis as a company-specific issue, with rivals attracting investor interest. But the implications could extend beyond Nvidia, particularly when the AI trade was already facing questions around spending, financing and valuations.
Three potential shifts are worth watching:
1. AI leadership could broaden, rather than the boom ending
Nvidia's troubles do not necessarily mean AI demand is weakening. If customers continue investing but diversify towards AMD, Broadcom or custom-designed chips, spending could simply shift between suppliers rather than slow down.
That remains the more constructive and, for now, more likely scenario. The bigger risk is that uncertainty starts delaying orders, product launches or infrastructure investment altogether. That could turn a company-specific problem into a wider setback for the AI trade.
2. Investors could rotate within AI, while looking beyond infrastructure
The initial market reaction suggests investors are looking for alternative ways to participate in AI growth. But share-price gains do not guarantee new business, and Nvidia's competitors still need to demonstrate actual market-share gains.
We have been looking at the AI cycle through three overlapping phases:
- Phase 1 — chips
- Phase 2 — infrastructure
- Phase 3 — adoption and monetisation
The market was already transitioning from Phase 2 towards Phase 3 before Nvidia's crisis. The latest turmoil reinforces the case for broadening exposure beyond chipmakers and infrastructure towards companies translating AI adoption into productivity gains, revenue and profits.
3. AI stocks could face a higher risk premium
Nvidia's crisis highlights leadership and governance risks that investors may have underestimated. Combined with concerns around AI spending, debt financing and investment returns, prolonged uncertainty could put further pressure on valuations across the sector.
China adds another complication. Tighter US chip restrictions could accelerate domestic semiconductor substitution while making it harder for Chinese cloud companies to access advanced computing technology.
The key takeaway: The AI trade may not be losing its long-term growth potential, but investors are likely to become more selective about who captures that growth, how it is financed and when it translates into profits.
Potential winners: Who could benefit from Nvidia's troubles?
Company | Why it could benefit | Key risk |
AMD (AMD) | Nvidia's closest major GPU rival could attract more orders as customers look to diversify their chip suppliers. | Nvidia's software ecosystem, performance and scale remain difficult to replicate. |
Broadcom (AVGO) | Could benefit from growing demand for custom-designed AI chips and alternative networking solutions as hyperscalers reduce dependence on Nvidia. | Custom chips take time to develop and cannot replace every Nvidia workload. |
Alphabet (GOOGL) | Google's proprietary TPU chips offer an alternative computing platform, potentially attracting more demand to Google Cloud. | Its own substantial AI spending still needs to translate into attractive returns. |
Samsung Electronics (SMSN.LN) | Its expanded partnership to supply advanced memory for AMD's next-generation AI chips could become more valuable if AMD gains share. | Samsung also supplies Nvidia and remains exposed to the overall AI spending cycle. |
Potential losers: Where could the pressure spread?
Company | Why it could face pressure | What could provide support |
Nvidia (NVDA) | Leadership uncertainty could affect its technology roadmap, customer relationships, China strategy and valuation premium. | Its technological leadership, CUDA ecosystem and established customer base remain substantial advantages. |
TSMC (TSM ) | As Nvidia's key advanced chip manufacturing partner, it could face immediate sentiment pressure and concerns about order disruption. | Structurally resilient because it also manufactures chips for AMD, Broadcom and other designers. Market-share shifts may redistribute orders rather than destroy demand. |
CoreWeave (CRWV) | Heavy reliance on Nvidia technology and substantial financing requirements could amplify the impact of deployment delays or weaker investor confidence. | Long-term customer commitments and continued AI compute demand provide some visibility. |
Dell (DELL) | Nvidia-powered AI servers are an important growth opportunity. Product or deployment delays could affect orders. | Dell can also build systems using competing AI processors. |
SK Hynix (SKHY) | Its leading position supplying high-bandwidth memory for Nvidia creates exposure to disruptions in Nvidia's product roadmap. | Advanced memory demand from other AI platforms could remain strong. |
Micron (MU) | Nvidia-related delays could affect near-term demand expectations for advanced memory. | Competing AI accelerator platforms also require high-performance memory. |
Alibaba (BABA / 9988 HK) | Greater US scrutiny could bring tighter advanced-chip restrictions, complicating Alibaba Cloud's AI expansion. | Its T-Head semiconductor business could benefit from China's push towards domestic chip alternatives. |
Who could replace Jensen Huang?
Nvidia's board faces a difficult decision. There is growing pushback against removing Huang before the investigation is complete, with Elon Musk supporting calls to wait for the findings and some investors advocating greater shareholder involvement.
The argument is understandable. Huang has spent more than three decades building Nvidia's technology, customer relationships and industry influence. Replacing him could create risks that are difficult to quantify.
Several names have appeared in media discussions and prediction markets, although none is a confirmed successor:
- Colette Kress, Nvidia CFO: A sensible interim choice to provide continuity and reassure investors. But as a permanent CEO, questions remain about her technical expertise and ability to drive Nvidia's next phase of innovation. She would need strong technology leadership alongside her.
- Ian Buck, senior Nvidia executive: Helped develop CUDA, making him a credible internal possibility with deep technical expertise. He could protect Nvidia's technological edge, but his ability to manage the wider commercial relationships and geopolitical challenges would face scrutiny.
- Rene Haas, Arm CEO: Perhaps the more balanced permanent candidate, combining semiconductor expertise, previous Nvidia experience and public-company leadership. However, Nvidia's integrated hardware and software business differs considerably from Arm's licensing model.
- Tim Cook, Apple CEO: His experience succeeding Steve Jobs and managing global supply chains could reassure investors. But Nvidia needs technological vision as much as operational discipline. His willingness to leave Apple is also a significant question.
- Madison Huang, Nvidia executive: Her name has appeared in prediction-market discussions, but I am less convinced she has demonstrated the experience required to lead a company of Nvidia's scale. A family succession amid governance concerns would require particularly strong independent board justification.
For investors, the priority should be a credible investigation, clear succession planning and minimal disruption to Nvidia's business, rather than simply whether Huang stays or goes.
What should investors do now: Wait, buy or reduce exposure?
Nvidia's uncertainty calls for caution, but not necessarily panic selling as earnings outlook remains intact.
Investors should consider four steps:
- Already own Nvidia? Hold, but review your exposure. Nvidia's technology advantage and earnings potential remain intact for now. Long-term investors may prefer to hold while awaiting clarity on leadership, provided their positions are not overly concentrated.
- Looking to buy the dip? Be patient. There is no need to rush while leadership and governance questions remain unresolved. Gradual buying could make more sense than taking a large position immediately, particularly if upcoming earnings confirm that customer demand and execution remain strong.
- Overexposed to AI? Consider rebalancing now. Investors do not necessarily need to wait for Nvidia's crisis to be resolved to address concentration risk. Owning several AI stocks and Nasdaq-heavy ETFs may offer less diversification than it appears. Complex financing links across the AI ecosystem add another risk, making diversification increasingly important.
- Where else to position? Look beyond AI. Healthcare, value, dividend and equal-weight strategies, alongside selected international markets, offer exposure to different earnings drivers. Recent market performance suggests leadership is already broadening. Read more: Market leadership is broadening: Winners beyond tech and AI.
Bottom line
Nvidia's leadership crisis could accelerate a shift towards alternative AI suppliers, creating potential opportunities for AMD, Broadcom, Alphabet and Samsung.
But the bigger risk is that uncertainty spreads into an already fragile AI financing and spending cycle, putting pressure on valuations across the sector.
For investors, the priority is to reassess concentration, avoid rushing to buy the dip and distinguish between a temporary governance shock and lasting damage to Nvidia's business.