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Semiconductor Companies Struggle to Capitalize the AI Boom, Unlike Nvidia

Recent earnings reports from semiconductor companies reveal a complex landscape in the industry, particularly regarding the impact of artificial intelligence (AI) on financial performance. While some firms have experienced substantial gains, others have struggled to capitalize on the AI boom, highlighting disparities within the semiconductor supply chain. 

Key players in the AI sector, such as Meta and Microsoft, continue to invest heavily in large language models (LLMs) and generative AI applications. Meta anticipates “significant” growth in capital expenditures in 2025 to bolster its AI initiatives, while Microsoft reported an almost 80% year-on-year increase in capital spending, reaching $19 billion in the recent quarter. This robust investment has notably benefited Nvidia, whose graphics processing units (GPUs) are essential for training LLMs. 

Conversely, Advanced Micro Devices (AMD) has begun to see rewards from its newly launched MI300X AI chip, raising its 2024 data center GPU revenue forecast to over $4.5 billion. AMD’s second-quarter results surpassed expectations, reflecting a growing demand for AI-related technologies. Similarly, TSMC and ASML reported significant profit increases, driven by strong demand for advanced semiconductor manufacturing tools. 

However, not all companies are reaping the benefits of AI investment. Qualcomm and Arm, despite their claims of relevance in AI applications, have seen limited exposure to the technology, resulting in declining share prices after issuing conservative guidance. Arm, primarily focused on consumer electronics, has yet to experience substantial growth from AI integration, while Qualcomm continues to rely heavily on smartphone revenues. 

In summary, the semiconductor sector is marked by a divide, with certain companies thriving amid AI advancements while others face challenges due to their limited engagement with the technology. This divergence underscores the intricate dynamics of the semiconductor supply chain and the varying degrees of success among industry players. 

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