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How Nvidia could end up worth $6 trillion after reclaiming its spot as the world's most valuable company

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How Nvidia could end up worth $6 trillion after reclaiming its spot as the world's most valuable company

Nvidia, having recently reclaimed its position as the world's most valuable company with a $3.77 trillion market cap, is projected by Loop Capital to reach a $6 trillion valuation, with analyst Ananda Baruah setting a Street-high $250 price target. This bullish outlook is predicated on an anticipated exponential surge in AI infrastructure spending, particularly by hyperscalers increasing non-CPU compute to 50-60% by 2028, which could drive $2.0T in spending and Nvidia's data center revenue to over $367 billion by FY28, leveraging its dominant market position amidst the rising demand for compute-intensive AI models.

Analysis

Nvidia has established a new valuation benchmark, reaching a $3.77 trillion market capitalization and surpassing peers to become the world's most valuable company. Despite this record high, a notably bullish report from Loop Capital projects a path to a $6 trillion valuation, setting a Street-high price target of $250, which implies a 127% upside. This forecast is underpinned by the expectation of a massive increase in AI-related infrastructure spending from hyperscalers like Amazon and Microsoft. The core of the thesis is that non-CPU compute spending, such as on GPUs and AI accelerators, will surge from approximately 15% of hyperscaler infrastructure budgets to as high as 60% by 2028, potentially creating a $2.0 trillion market for this segment alone. This aligns with Nvidia's own outlook on demand for 'AI factories', with CEO Jensen Huang's guidance suggesting a sales pipeline of $450 to $900 billion based on projected gigawatt demand. Loop Capital quantifies this by forecasting Nvidia's data center revenue will more than triple, from $115 billion in fiscal 2025 to $367 billion by fiscal 2028. The company's perceived monopoly on this critical technology is expected to grant it significant pricing power and support margin expansion as the demand for compute-intensive AI models accelerates.

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