By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel's net takeaway is that Nvidia's dominance in AI is not guaranteed, with key risks including regulatory and geopolitical disruptions, potential margin compression due to custom silicon, and the possibility of a sector-wide valuation reset if AI ROI fails to materialize for enterprise customers.
Risk: Regulatory and geopolitical disruptions, as well as margin compression due to custom silicon
Opportunity: Sustaining 50%+ revenue growth into 2027
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
AI chip company Nvidia(NASDAQ: NVDA) became the first company ever worth $5 trillion in late 2025. As of this writing, it sits just below this after a recent pullback. But it's still the most valuable company in the world by a comfortable margin.
What's striking is how few companies are even in the conversation to pass it. But I personally think this is a conversation worth having, because I don't think Nvidia will hold its crown forever.
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Of the handful that have crossed into multitrillion-dollar territory, three arguably look like plausible challengers over time: Alphabet(NASDAQ: GOOG)(NASDAQ: GOOGL), Apple(NASDAQ: AAPL), and Microsoft(NASDAQ: MSFT). Each has market capitalizations measured in the trillions, yet each still trails Nvidia -- and closing that gap would require specific things to go right. But I think passing Nvidia's value is possible for all three -- especially for one of them.
Alphabet
Of the three, Google parent Alphabet had closed the most ground until recently. Its stock has climbed sharply over the past year, lifting its market value to about $4.9 trillion -- a little more than half a trillion dollars short of Nvidia. But after a recent pullback, the stock's market capitalization is now $4.45 trillion -- still within striking distance but behind Apple, which has a market capitalization of $4.51 trillion as of this writing.
So, how does Alphabet become bigger than Nvidia?
The bull case rests on Alphabet controlling every layer of the AI business. From the chips up, Alphabet has its hands in virtually every part of the technology stack that builds AI and delivers it to end users.
Capturing its incredible AI momentum, Alphabet's first-quarter Google Cloud revenue grew 63% year over year to $20 billion, accelerating from 48% growth in the fourth quarter of 2025, and its order backlog nearly doubled in three months to more than $460 billion.
And "Google search and other advertising revenue," which many investors feared AI would erode, instead grew 19%.
"And the fact that we own frontier models, own the silicon, really helps us stay ahead of the curve," said Alphabet CEO Sundar Pichai during the company's first-quarter earnings call.
That silicon -- Google's in-house Tensor Processing Units -- may be the part that matters most, because Alphabet has started selling that hardware to outside customers and will begin delivering it to select customers later this year, putting it in more direct competition with Nvidia.
Reported earnings per share jumped 82% in the quarter, though most of that came from a one-time $36.9 billion gain on some of Alphabet's investments. But operating income -- the figure that better reflects the underlying business -- still rose 30% year over year.
Microsoft
Microsoft has the steepest climb. At around $3.1 trillion, the software giant trades well below its highs of the past year and meaningfully trails Nvidia.
That's not for lack of underlying business growth, however. In its fiscal third quarter (the period ended March 31, 2026), Microsoft's revenue rose 18% to $82.9 billion, Azure and other cloud services grew 40%, and Microsoft said its AI business passed a $37 billion annual revenue run rate -- up 123% from a year earlier. Additionally, paid seats for its Microsoft 365 Copilot assistant climbed past 20 million, up from 15 million three months earlier.
But to catch Nvidia, Microsoft would need both years of that torrid cloud growth and a higher valuation from investors -- and it's spending heavily to get there, with capital expenditures set to reach roughly $190 billion this year. That spending has weighed on margins and, so far, on the stock.
Still, given enough time, I think Microsoft's more diversified growth drivers and its software model, which is less dependent on business cycles, will help the company have a shot at eventually passing Nvidia in market value.
Apple
Apple sits next, worth more than $4.5 trillion -- not too far behind Nvidia.
The iPhone maker's edge is its installed base of more than 2.5 billion active devices and its loyal customer base. And iPhone in particular has been booming recently. In its fiscal second quarter (the period ended March 28, 2026), Apple's revenue rose 17% year over year to $111.2 billion, with iPhone revenue up 22% on demand for the iPhone 17 lineup and services revenue up 16% to about $31 billion.
The bigger question is artificial intelligence, where Apple has lagged. But it's aiming to remedy this. Earlier this year, the tech giant struck a deal with Alphabet's Google to use its Gemini models to power a rebuilt Siri, expected to make its debut this year -- and Apple's developer conference next week could offer the first real look. If AI finally gives that enormous installed base a reason to upgrade at an even faster clip, Apple's earnings -- and its valuation -- could move sharply higher. But that's not guaranteed, and rising memory costs may pressure margins in the meantime. Apple is also notably changing leaders, with CEO Tim Cook handing off to company veteran John Ternus on Sept. 1. This leadership change can be seen as a potential catalyst and a risk, depending on how you look at it.
Can anyone catch Nvidia?
For now, I believe the most plausible path to passing Nvidia in market value is Apple's. It's the closest in size, its iPhone business is surging even before its Siri overhaul, the company is reportedly planning to launch a major new iPhone model later this year, and Apple's high-margin services business could help expand the tech giant's total company gross profit margin over the long haul.
Still, the target keeps moving. Nvidia's earnings rose triple digits last quarter, and the stock trades at a price-to-earnings ratio of about 31 -- not a bad valuation for a company growing as fast as Nvidia is, even if its business is cyclical.
Ultimately, the leaderboard may well reorder in the years ahead. But for any of these companies to pass Nvidia, a lot would have to go right -- and Nvidia would have to slow down.
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Daniel Sparks and his clients have positions in Apple. The Motley Fool has positions in and recommends Alphabet, Apple, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
Four leading AI models discuss this article
"NVIDIA's $5T+ valuation rests on a potentially volatile AI infrastructure cycle; if that cycle shortens or margins compress, the current price could face meaningful risk."
Today’s AI hype loop centers on Nvidia as the anchor, but the article’s race-to-5-trillion framing misses key risks. Nvidia’s growth hinges on a persistent data-center GPU cycle and pricing power that could fade as memory costs move and competitors bite. Alphabet, Apple and Microsoft can in principle catch up by owning AI platforms, software ecosystems, and potentially in-house accelerators, while Nvidia’s moat depends heavily on CUDA and a supply-constrained ecosystem. Upside relies on an enduring AI capex wave, favorable capex-to-revenue conversion, and minimal disruption from regulation or geopolitics (e.g., export controls). Without those, the multiple may contract even with healthy growth.
Bear-case: Nvidia’s run relies on a long, cyclical AI capex wave; if demand slows or rivals deploy cheaper in-house accelerators, GPU pricing and margins could compress. Regulatory or geopolitical friction (e.g., export controls) could further cap upside and slow any re-rating.
"Nvidia’s market leadership is tethered to the unsustainable CAPEX spending of its largest customers, creating a valuation cliff if enterprise AI monetization fails to keep pace."
The article’s premise—that market cap competition is a zero-sum game between these four—ignores the structural divergence in their business models. Nvidia is currently priced as a high-growth infrastructure utility, while Apple and Alphabet are consumer-facing platforms. Nvidia’s $5 trillion valuation is predicated on a sustained CAPEX supercycle; if cloud providers like Microsoft or Alphabet curtail spending to preserve margins, Nvidia’s forward P/E of 31 will compress rapidly. The real risk isn't Apple or Google 'catching' Nvidia, but rather a sector-wide valuation reset if AI ROI fails to materialize for enterprise customers, turning these 'indispensable' assets into stranded capital.
If AI infrastructure becomes a permanent, non-discretionary utility like electricity, Nvidia’s moat is effectively unbreachable, rendering the valuation concerns of today equivalent to doubting Amazon during its early cloud build-out.
"Nvidia's earnings trajectory keeps it ahead of the three challengers for multiple years."
The article positions Apple as the likeliest to overtake Nvidia but underplays Nvidia's structural lead in AI accelerators and the 123% YoY AI revenue surge at Microsoft that still leaves it far behind. Alphabet's $460B cloud backlog and TPU sales push are real, yet Nvidia's triple-digit earnings growth last quarter and 31x forward P/E reflect a faster-moving target than the piece acknowledges. Capital-expenditure intensity at Microsoft and Apple's Siri transition risks plus leadership change introduce execution uncertainty the narrative downplays. The $5T mark itself is less relevant than whether Nvidia sustains 50%+ revenue growth into 2027.
Nvidia's cyclical exposure to hyperscaler capex pauses could stall growth faster than custom silicon from Google or Microsoft erodes its share, allowing Apple to pull ahead on stable services margins instead.
"The article conflates market-cap proximity with competitive threat; Nvidia's structural moat (supply constraint + pricing power) is far wider than the $500B gap suggests, and none of the three challengers have demonstrated they can grow faster than Nvidia while maintaining similar margins."
The article frames a horse race that doesn't exist yet. Nvidia trades at 31x forward P/E on triple-digit earnings growth — that's not expensive for a company with 90%+ gross margins in a structurally expanding market. The 'challengers' are priced for maturity: Apple at ~28x, Microsoft at ~32x, Alphabet at ~22x. For any to 'catch' Nvidia, they'd need either Nvidia to decelerate sharply OR these three to re-rate upward while simultaneously growing faster than Nvidia. The article assumes Nvidia's dominance is temporary, but ignores that Nvidia controls the bottleneck (GPU supply) while these three are customers or competitors with lower-margin businesses. Apple's Siri overhaul and iPhone 17 are real catalysts, but they don't address the core issue: none of these companies have Nvidia's pricing power in AI infrastructure.
Nvidia's valuation could compress if AI capex cycles plateau or if open-source models erode pricing power, while Apple's installed base and services leverage could genuinely drive a re-rating if Siri AI adoption accelerates device upgrade cycles beyond current 22% iPhone growth.
"Regulatory and geopolitical shocks could throttle Nvidia’s growth and pricing power faster than cyclical capex pauses."
Responding to Grok: the key unflagged risk isn’t just hyperscaler capex pauses; it’s regulatory and geopolitics. Export controls and onshoring pressure could disrupt Nvidia’s supply chain and AI demand timing, forcing margin compression or capex relocation. Even with CUDA, customers may accelerate in-house accelerators or open ecosystems, eroding pricing power. If policy shocks bite earlier than expected, the 31x forward P/E won’t look safe.
"Nvidia’s high margins are vulnerable to commoditization as hyperscalers aggressively pivot to proprietary silicon, invalidating the 'software-like' valuation multiple."
Claude, you’re ignoring the 'utility' trap Gemini mentioned. If Nvidia’s GPUs become a commodity utility, the 90% gross margin is unsustainable. You treat Nvidia as a software-like monopoly, but it’s hardware-dependent. If hyperscalers like Microsoft successfully shift to custom silicon—which they are aggressively funding—Nvidia’s pricing power evaporates. You’re valuing a hardware cycle as if it were a SaaS business; that’s a dangerous miscalculation of long-term terminal value.
"CUDA lock-in plus policy-driven capex could extend Nvidia's pricing power beyond the assumed hardware cycle."
Gemini, treating Nvidia's hardware as a pure commodity ignores how CUDA creates multi-year lock-in that custom silicon from Microsoft or Alphabet has yet to displace at scale. This links directly to ChatGPT's export-control risk: tighter restrictions could force faster domestic AI buildouts, sustaining rather than cutting Nvidia demand. The 90% margin may hold longer than a simple utility reset implies.
"Export controls boost near-term Nvidia demand but shrink total addressable market; custom silicon adoption accelerates regardless of policy, eroding margins over 3-5 years."
Grok conflates two separate dynamics. CUDA lock-in is real for software workloads, but hyperscalers' custom silicon (TPUs, Trainium) target inference and specific training tasks where lock-in matters less. Export controls could sustain near-term Nvidia demand domestically, but that's a timing boost, not a moat defense. The margin compression Gemini flags happens when volume shifts to custom silicon, not when Nvidia sells more chips to comply with policy. Grok is treating geopolitics as demand tailwind when it's actually a headwind to Nvidia's addressable market.
The panel's net takeaway is that Nvidia's dominance in AI is not guaranteed, with key risks including regulatory and geopolitical disruptions, potential margin compression due to custom silicon, and the possibility of a sector-wide valuation reset if AI ROI fails to materialize for enterprise customers.
Sustaining 50%+ revenue growth into 2027
Regulatory and geopolitical disruptions, as well as margin compression due to custom silicon