AIToday
AI Business & IndustryDIGITIMES AsiaPublished: Aug 27, 2026, 01:01 JST1 min read

TSMC packaging shift to boost AMD, trim Nvidia in 2027

TSMC packaging shift to boost AMD, trim Nvidia in 2027

Key takeaway

  • Morgan Stanley predicts TSMC's packaging allocation will shift in 2027.

  • AMD's CoWoS usage will rise, Nvidia's share will fall.

  • This is due to agentic AI demand.

3 Key Points

  1. What happened

    Morgan Stanley expects TSMC's advanced packaging allocation to shift in 2027, with AMD's CoWoS usage rising and Nvidia's share shrinking, as agentic AI drives processor demand.

  2. Why it matters

    This shift reflects TSMC's growing capacity and broader industry demand, potentially altering the competitive balance in AI chips—AMD gains more packaging capacity, while Nvidia may face tighter supply.

  3. What to watch

    The 2027 timeline is key; watch how TSMC expands capacity and whether AMD can capitalize on the increased CoWoS allocation to challenge Nvidia's dominance.

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Context & Analysis

Morgan Stanley's projection highlights a strategic rebalancing in TSMC's advanced packaging capacity, driven by growing demand from agentic AI—AI systems that can act autonomously. The shift is not abrupt but planned for 2027, allowing TSMC to expand capacity while meeting diverse client needs. For AMD, this could be a competitive opportunity to secure more packaging for its AI processors, potentially narrowing the gap with Nvidia. However, the actual impact depends on TSMC's execution and market dynamics. The report, cited by Wccftech, underscores how packaging, not just chip design, is becoming a critical bottleneck in AI supply chains.

FAQ

What is CoWoS?
CoWoS is TSMC's advanced packaging technology used for AI chips. The article mentions it as the type of packaging allocation that will shift.
When is the shift expected?
The shift is expected in 2027, as per Morgan Stanley's report.
Why is the allocation shifting?
The shift is attributed to rising capacity at TSMC and expanding industry-wide demand, particularly from agentic AI processors.
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