Nvidia Surges Past $5 Trillion Market Cap as AI Infrastructure Demand Soars

Reviewed byNidhi Govil

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Nvidia's market capitalization has crossed the $5 trillion milestone, adding nearly $100 billion in value within days as major cloud providers increase AI spending. SoftBank's Masayoshi Son's earlier prediction of the company being undervalued appears increasingly prescient.

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Record-Breaking Market Performance

Nvidia has achieved a historic milestone, crossing the $5 trillion market capitalization threshold and adding nearly $100 billion in value within just three trading days

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. The semiconductor giant's stock soared 4% on Monday to reach another all-time high, driven by increased AI infrastructure spending commitments from major technology companies.

Loop Capital responded to this momentum by raising its price target for Nvidia to $350 per share from $250, acknowledging that the 70% upside built into their projection "sounds crazy" but justified by expectations of doubled GPU unit shipments over the next 12-15 months

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Major Cloud Provider Commitments

The surge follows significant announcements from the world's largest cloud computing providers. Amazon secured a $38 billion commitment from OpenAI to use AWS infrastructure, requiring hundreds of thousands of Nvidia graphics processing units

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. Microsoft obtained export licenses to ship Nvidia chips to the United Arab Emirates, while Google Cloud continues its AI infrastructure expansion as the third-largest cloud provider.

These developments underscore the intensifying AI arms race among technology giants, with Meta Platforms also guiding spending higher to maintain competitive positioning in artificial intelligence capabilities

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Prescient Predictions from SoftBank's Vision

SoftBank CEO Masayoshi Son's assessment of Nvidia as "undervalued" in October 2024 appears remarkably prescient given the company's current $5 trillion valuation

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. Speaking at the Future Investment Initiative conference in Saudi Arabia, Son outlined an expansive vision for the artificial intelligence economy, estimating that artificial superintelligence development could require 400 gigawatts of data center power and 200 million AI chips, representing $9 trillion in cumulative capital expenditure

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Son dismissed concerns about an AI bubble, arguing that even modest productivity gains would justify massive AI investments and projecting that four major technology companies could collectively earn $4 trillion in annual profit from the AI revolution

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Global Infrastructure Initiatives

The AI infrastructure buildout extends beyond private sector investments to national initiatives. South Korea's government, collaborating with major industrial companies including Samsung and Hyundai, is working with Nvidia to deploy over 250,000 GPUs across sovereign clouds and AI factories

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. This infrastructure aims to establish a foundation for AI-enabled economic growth across Korea's automotive, manufacturing, and telecommunications industries.

Nvidia's own strategic partnerships includes a $100 billion investment commitment to OpenAI announced in September, supporting the development of 10 gigawatts of artificial intelligence data center capacity

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National Security Implications

Access to AI infrastructure is increasingly viewed as a national security priority, with governments recognizing the need to secure supplies of advanced computing platforms to remain competitive in a data-driven global economy

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. The strategic importance of AI capabilities extends beyond commercial applications to cybersecurity and economic resilience considerations.

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