Nvidia CEO Jensen Huang Pushes Back On Elon Musk's Plan To Build Chip Fab, Says What TSMC Does Is 'Extremely Hard'

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Source: Benzinga.comPublished: 11/08/2025, 01:08:16 EST
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Nvidia CEO Jensen Huang Pushes Back On Elon Musk's Plan To Build Chip Fab, Says What TSMC Does Is 'Extremely Hard'

News Summary

Nvidia CEO Jensen Huang has cautioned Tesla CEO Elon Musk against underestimating the complexities of building an advanced semiconductor manufacturing plant. Musk previously informed shareholders of Tesla's plan to construct a massive in-house chip fabrication facility capable of producing up to one million chips per month to support its growing AI ambitions for AI5 processors and Dojo supercomputers. Responding from Taiwan, Huang stated that building an advanced chip fab is "extremely hard," emphasizing that it involves mastering the engineering, science, and artistry that define TSMC's position as the world's most advanced foundry. Musk acknowledged Tesla's current partnerships with TSMC and Samsung Electronics, and hinted at potential discussions with Intel Corp to diversify and control its supply chain.

Background

Tesla's ongoing investments in artificial intelligence (AI) and autonomous driving technologies are driving an increasing demand for high-performance custom chips, prompting the company to seek deeper supply chain control. Musk's announcement of an in-house chip fab plan followed shareholder approval of his $1 trillion pay package, highlighting the company's strategic ambition for technological self-reliance. Advanced semiconductor manufacturing, particularly at the leading edge, is extremely capital and technology-intensive, dominated by a few foundries like TSMC. Nvidia, a global leader in AI chip design, heavily relies on TSMC for the production of its advanced processors.

In-Depth AI Insights

What are the true strategic drivers behind Musk's plan to build a chip fab? - Despite Huang's emphasis on difficulty, Musk's move goes beyond simple supply chain diversification. At its core, it's about achieving ultimate control over Tesla's AI and autonomous driving technology roadmap. In the AI chip domain, customization and performance optimization are critical. Building an in-house fab theoretically allows Tesla to control every aspect from architectural design to manufacturing processes, ensuring chips are optimally tailored for its software and specific hardware needs, thereby gaining a competitive edge. - This is also a cost control strategy; once large-scale production is stable, it is expected to reduce reliance on external foundries and lower costs in the long run. On a deeper level, this reflects a pervasive trend of vertical integration among tech giants, aiming to mitigate external risks and enhance the synergistic efficiency of their entire ecosystem by mastering core technologies and production links. What does this plan mean for existing semiconductor giants like TSMC and Intel? - For TSMC, Tesla remains a customer in the short term, but in the long term, if Tesla succeeds, it could lose a potentially significant client and may incentivize other large tech companies to follow suit, eroding its foundry market share. However, given TSMC's immense technological barriers in advanced processes, Tesla is unlikely to replicate its level in the near future, so the partnership will likely continue. - For Intel, Musk's hint of potential "discussions" could mean an opportunity for Intel Foundry Services (IFS) to secure a high-profile customer, especially as it actively expands its external foundry business. This is both a potential opportunity and could push Intel to accelerate its foundry capabilities to meet the future in-house manufacturing demands of more clients. What long-term impact will this development have on the AI chip industry landscape? - If successful, Musk's endeavor will further accelerate the trend of vertical integration in AI chip design and manufacturing. This could lead to the emergence of a "super-company" model, where a few companies with substantial capital and technological prowess, such as Apple, Google, and Tesla, not only design their own chips but also seek a higher degree of manufacturing control. - This would pose a long-term challenge to pure-play design companies like Nvidia, prompting them to strengthen partnerships with existing foundries or explore new business models. Simultaneously, it could stimulate innovation among semiconductor equipment and material suppliers, as new fabs require customized solutions. Future competition in the AI chip market will extend beyond design to deep supply chain control and manufacturing capability building.