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DIGITIMES AsiaPublished: Jul 11, 2026, 13:00 JST2 min read

AI performance gains hinge on materials, not chips—Geckos chair

AI performance gains hinge on materials, not chips—Geckos chair

Key takeaway

  • As generative AI accelerates demand for high-performance computing chips, the semiconductor industry is shifting focus from competing on manufacturing process nodes (like 2nm) to competing on materials science, according to Geckos chairman Shen Tsung-huan.

  • This pivot matters because materials innovations will become the primary lever for performance gains as conventional process scaling approaches physical limits.

3 Key Points

  1. What happened

    Geckos chairman Shen Tsung-huan argues that as chip manufacturing advances toward 2nm nodes and beyond, the semiconductor industry is shifting from competing on manufacturing process alone to competing on materials science.

  2. Why it matters

    Generative AI is driving rapid growth in demand for high-performance computing, making material innovations critical to sustaining performance gains as traditional process scaling hits physical limits. For chipmakers and their suppliers, this signals where competitive advantage will lie in the next phase of AI hardware development.

  3. What to watch

    The article is an interview format presenting one executive's perspective on the strategic pivot toward materials-driven competition in semiconductors.

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Context & Analysis

The article presents an interview-based perspective on a strategic inflection point in semiconductor competition. For decades, the industry focused on Moore's Law—the race to smaller process nodes—as the primary driver of chip performance. However, as generative AI workloads push demand for computing power and process nodes approach physical and economic limits (2nm and below), materials science is emerging as the next performance frontier. Geckos chairman Shen Tsung-huan positions materials innovation as the decisive factor for the next generation of AI chips. This view reflects a broader industry recognition that incremental process improvements yield diminishing returns, while breakthrough materials—whether in interconnects, dielectrics, or other components—could unlock substantial performance and efficiency gains. For chipmakers, chip designers, and materials suppliers, this signals where research investment and competitive differentiation will concentrate in the coming years.

FAQ

What is Geckos, and who is leading this argument?
Geckos is a company led by chairman Shen Tsung-huan, who is making the case that materials, not chip manufacturing processes, will determine the next leap in AI performance.
Why is the semiconductor industry shifting from process to materials?
Generative AI is driving rapid growth in demand for high-performance computing, and as chip manufacturing moves to 2nm nodes and beyond, process scaling alone becomes insufficient; materials science becomes the next frontier for performance gains.
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