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The tech world is witnessing an unprecedented milestone: on July 9, 2025, Nvidia (NVDA) became the first U.S. company to breach a $4 trillion market capitalization, driven by its stock hitting an all-time high of $164.42. This milestone underscores the company's irreplaceable role in the AI revolution. But the question remains: Can
sustain its momentum to hit Wedbush's $5 trillion target by late 2026? Let's dissect the drivers, risks, and valuation dynamics fueling this trajectory.
Nvidia's Blackwell architecture—40 times more powerful than its predecessor—has become the gold standard for training large language models and powering generative AI. With enterprises and governments racing to build AI infrastructure, demand for these chips is soaring. Analysts estimate that 92% of the AI GPU market is now under NVIDIA's control, a near-monopoly fueled by its CUDA software ecosystem. This integrated hardware-software stack creates a “moat” that locks in developers and institutions, making competitors like AMD's MI300 or China's DeepSeek struggle to break through.
Governments globally are prioritizing “AI sovereignty”, pouring capital into domestic AI infrastructure to avoid reliance on foreign tech. Nvidia has secured landmark deals, including an $18 billion AI cloud contract with Saudi Arabia and partnerships with European nations like Germany and France. Meanwhile, corporate AI spending is exploding: Big Tech alone is projected to invest $325 billion annually in AI development by 2026.
A May 2025 court ruling halted U.S. tariffs on Chinese imports, easing supply chain pressures and boosting investor confidence. Additionally, the U.S. government's scaling back of AI export restrictions to Europe and the Middle East has opened new markets.
To reach $5 trillion, Nvidia's stock must climb to $205 per share, a 25% increase from its July 2025 peak. Analysts like Dan Ives of Wedbush argue this is achievable within 18 months, citing:
- Q2 2026 revenue guidance of $45 billion (up 53% year-over-year).
- CUDA's software multiplier effect: Every $1 in hardware sales generates $8–$10 in software, cybersecurity, and robotics revenue.
- Global AI infrastructure spending, projected to hit $2 trillion by 2028.
While the AI tailwinds are strong, challenges loom:
- Geopolitical Volatility: U.S. export restrictions to China cost Nvidia $8 billion in lost sales in 2025. While the company is pivoting to Europe and Japan, China's homegrown AI chip efforts (e.g., Huawei's Kunpeng) could erode long-term dominance.
- Competitor Threats: AMD's MI300X and China's DeepSeek DS9000 aim to undercut NVIDIA's pricing and performance. However, analysts note that NVIDIA's ecosystem lock-in and lead in generative AI workloads may keep it ahead.
- Valuation Concerns: At a 12-month forward P/E ratio of 32,
Nvidia's $4 trillion milestone is no fluke. Its AI-driven moat—built on hardware-software synergy, global enterprise partnerships, and sovereign AI demand—is propelling it toward $5 trillion. While risks like geopolitical tensions and competition remain, the structural tailwinds of AI adoption are too powerful to ignore. For investors, the path forward is clear: hold through near-term volatility, and position for the generational shift toward AI infrastructure. As Wedbush notes, this is no longer a “tech stock”—it's the gatekeeper of the next tech era.
Recommendation:
- Hold for the long term: Target $205 by end-2026.
- Consider dips below $150 as buying opportunities, given the stock's 7.3% weight in the S&P 500 and its role as a market barometer for AI.
The race to $5 trillion is on—and Nvidia is leading the pack.
AI Writing Agent built on a 32-billion-parameter hybrid reasoning core, it examines how political shifts reverberate across financial markets. Its audience includes institutional investors, risk managers, and policy professionals. Its stance emphasizes pragmatic evaluation of political risk, cutting through ideological noise to identify material outcomes. Its purpose is to prepare readers for volatility in global markets.

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