Nvidia’s leadership crisis and the prospect of tighter restrictions on data center construction could strengthen the position of major technology companies in the artificial intelligence market, as investors reassess which businesses have the computing capacity and financial resources to sustain the industry’s expansion.
Investment executives speaking on CNBC’s “ETF Edge” argued that companies such as Microsoft, Alphabet and other hyperscalers could benefit if customers begin looking beyond Nvidia for AI computing resources or if political opposition slows the construction of new data centers.
The argument is that large technology companies already possess substantial computing infrastructure, giving them an advantage if access to new capacity becomes more constrained. Rather than weakening the AI investment cycle, restrictions on expansion could increase the value of existing infrastructure and reinforce the market position of companies capable of financing and operating large computing networks.
Register for the next Tekedia Mini-MBA.
Register for Tekedia AI in Business Masterclass.
Join Tekedia Capital Syndicate and co-invest in great global startups.
“We may have been put in an environment, as much as investors have sort of been looking for areas outside of Big Tech, where net-net Big Tech ends up as the winner once again,” said Dave Mazza, chief executive of Roundhill Investments, which manages the Magnificent Seven ETF (MAGS).
Mazza made the comments during an interview recorded on Monday, before Nvidia co-founder and Chief Executive Jensen Huang resigned on Thursday following revelations about his personal relationships.
His argument was that Nvidia’s difficulties could encourage customers to consider alternative chip suppliers, while large cloud providers could become more valuable because they already have computing capacity available.
“If we get into an environment where people can’t trust … Nvidia, they’re going to look for other sources for these chips because they need them,” Mazza said.
He added that hyperscalers could benefit from the situation because their existing computing resources would become more valuable if demand remained strong.
The debate comes as Nvidia’s share price has suffered its longest losing streak since 2012, raising questions about how investors will value companies across the AI supply chain.
The company’s importance to the industry extends beyond its dominance in graphics processing units. Nvidia has also played a central role in financing and supporting the infrastructure expansion through its relationships with cloud providers and specialized computing companies.
That exposure has created a complicated situation for investors. If confidence in Nvidia weakens, alternative chipmakers could attract more attention. However, companies that depend on Nvidia’s financing or the wider AI infrastructure ecosystem could face additional pressure.
Dan Ives, partner and senior managing director at Yorkville Ives, said investors could remain optimistic about alternative AI chip suppliers, including Advanced Micro Devices and Alphabet, if Nvidia experiences prolonged difficulties.
AMD ended the week up close to 13%, while Broadcom recorded similar gains, suggesting that investors were willing to rotate into other semiconductor companies even as Nvidia continued to decline.
Ives helped create the Dan Ives Wedbush AI Revolution ETF (IVES) while working at Wedbush Securities, where he served as managing director and global head of technology research. He left the firm earlier this year to establish his own investment business.
Yorkville Ives lowered its Nvidia price target to $225 from $300 on Thursday following Huang’s resignation but maintained a buy rating. Nvidia shares ended the week at $162.85.
Ives noted that the company’s competitive position remains intact because its technology roadmap and product development are supported by a large workforce and established customer relationships.
“Nvidia remains the clear leader in GPU chips for the AI Revolution. They are roughly 2-3 years ahead of the nearest competitor and the demand trajectory the next few years is not changing because Jensen is gone,” he wrote in a note to investors.
He added that the company’s product roadmap was already built around its next generations of chips and physical AI, with approximately 42,000 employees supporting its operations.
“Valuation at roughly 10x 28 EPS is way too cheap once Nvidia gets through this storm and emerges on the other side,” Ives said.
His assessment reveals a distinction between uncertainty surrounding Nvidia’s leadership and the underlying demand for its processors.
Nvidia’s interim chief executive and current finance chief, Colette Kress, will have an early opportunity to address those concerns when the company reports its third-quarter earnings next Tuesday.
“Our focus remains on serving our customers, partners, developers and shareholders,” Kress said in a statement issued on Thursday when Nvidia announced Huang’s departure.
Democrats’ Pressure on Data Center Expansion
The potential impact of political restrictions on AI infrastructure is another factor shaping investment decisions.
Democratic gains in the November 3 midterm elections, which gave the party control of Congress, have raised concerns that new legislation and regulatory pressure could slow data center development. The sector requires substantial investment in land, electricity, cooling systems and computing equipment, making it vulnerable to restrictions on construction and energy use.
Mazza said a slowdown in new infrastructure development could increase the value of computing capacity already available through major technology companies.
Ives estimated that the Democratic gains could prevent between 10% and 20% of planned data center projects from materializing. However, he argued that demand for computing power still exceeds available supply by a ratio of four to one.
“The compute is just that much more valuable in the capacity today than it was a week ago. So I could argue just more and more bullish, strong, get stronger,” he said.
He added that the political shift could slow the pace of expansion without necessarily creating an oversupply of infrastructure.
“The game is going to change for Big Tech. It will slow it down. But there’s no overbuild, no bubble concerns. And I view that as actually a positive thing,” Ives said.
That view suggests that restrictions on new data centers could favor companies with established infrastructure, stronger balance sheets and access to electricity and computing resources. Smaller operators may find it harder to secure financing or complete projects on schedule, potentially shifting more demand towards the largest cloud providers.
Neocloud Operators’ Difficult Financing Test
The contrast between large technology companies and specialized cloud providers is visible in recent performance across exchange-traded funds tracking the AI sector.
Roundhill’s Magnificent Seven ETF ended the week with a gain of less than 1%, while its Neocloud ETF (NCLD), which focuses on smaller specialized cloud computing companies, advanced by more than 1%.
However, the Neocloud ETF remained down 39% since its August 2026 launch, reflecting concerns about the financial strength of companies building infrastructure to serve AI developers.
Results from major holdings CoreWeave and Nebius also presented a mixed picture. CoreWeave recorded its strongest trading day since April 2025 on Wednesday following its latest quarterly results, while Nebius shares declined after reporting on Thursday. CoreWeave fell again on Friday as pressure returned to the broader AI infrastructure trade.
The performance underpins the difference between demand for computing capacity and the ability of companies to finance and deliver it profitably. Neocloud operators often rely on substantial borrowing, customer commitments and infrastructure partnerships to expand. If Nvidia’s role in supporting the AI buildout becomes less certain, investors may pay closer attention to the funding arrangements and balance sheets of these companies.
The same conditions could create an advantage for hyperscalers. Their existing infrastructure, financial resources and established customer bases may allow them to capture demand that smaller providers struggle to accommodate.
The week’s market movements therefore point to a possible reshuffling of the AI investment trade rather than a collapse in expectations for the technology. Nvidia’s leadership crisis has introduced uncertainty, while political pressure could slow infrastructure expansion. But according to investors, if demand continues to exceed available capacity, the companies best positioned to supply computing resources may emerge with greater pricing power and a stronger competitive position.