Artificial intelligence (AI) is fundamentally reshaping the semiconductor industry, which plays a crucial role in technological advancement across various sectors. This article explores how AI is revolutionizing semiconductor manufacturing, design, and research. AI-driven automation and predictive analytics are optimizing manufacturing processes, improving yield, and reducing operational costs [1]. In design, AI is accelerating chip development and driving demand for specialized chips tailored for machine learning (ML) and data processing. The article also examines AI’s role in semiconductor research and development (R&D), its environmental impact, and workforce shifts, including challenges such as talent migration and “brain drain.” Additionally, strategic implications for stakeholders, particularly small and medium-sized enterprises (SMEs), are discussed. Legislative measures like the CHIPS Act are highlighted for their potential to support innovation, workforce development, and resilient supply chains [2]. Overall, AI’s integration into the semiconductor industry offers both opportunities and challenges, positioning it as a key driver of future technological progress.
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Jeewika Ranaweera (2025) studied this question.