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Sign up free →Nvidia and Broadcom have emerged as the two dominant chip designers powering AI systems, with their processors becoming the standard hardware inside data centers and AI servers that train and run language models (AI systems that understand and generate text).
Both companies benefit from a structural advantage: as AI companies like OpenAI, Google, and Meta scale up their models, they need exponentially more computing power, which means more chips. This creates a winner-take-most dynamic where the companies with proven, reliable chips capture the majority of spending.
For business professionals and investors, this means the AI infrastructure boom is not a hype cycle that will flatten—it's backed by real, growing capital expenditure from tech giants that can't train or deploy AI without these specialized chips. For students entering tech careers, chip design and AI infrastructure have become the most defensible, profitable segments of the AI economy.
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