Ex-Samsung chip chief predicts RAM crisis easing by 2027

2026-05-21 · Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Former Samsung semiconductor chief Kye-hyun Kyung predicts the ongoing RAM crisis may ease by late 2027 or early 2028, a more optimistic outlook than many industry leaders. Kyung attributes this potential market shift to increased RAM production capacity from Chinese manufacturers and anticipated deflation within the artificial intelligence sector. He also noted that diminishing returns on Big Tech's AI investments could accelerate the correction of the RAM supply-demand imbalance. This forecast diverges from the prevailing pessimistic sentiment among major memory chipmakers, including Samsung, who have warned of a prolonged crisis extending potentially into 2028 or 2030. His comments highlight a significant shift in market perspective amid ongoing concerns about the AI boom's sustainability.

Key takeaway

For executives monitoring semiconductor supply chains or investors in memory chip companies, Kye-hyun Kyung's forecast suggests a potential easing of the RAM crisis by late 2027 or early 2028. You should consider this optimistic divergence from prevailing industry sentiment when evaluating long-term procurement strategies and investment portfolios. Monitor Chinese manufacturing capacity and AI sector investment trends, as these factors are key to the predicted market correction.

Key insights

The RAM crisis is predicted to ease by late 2027/early 2028 due to increased supply and AI sector dynamics.

Principles

• Increased Chinese RAM production can significantly alter market supply.
• AI sector investment dynamics influence memory market stability.
• Diminishing returns on Big Tech AI investments can correct supply imbalances.

Topics

• RAM Crisis
• Semiconductor Market
• AI Investment
• Supply Chain
• Market Forecast
• Samsung

Best for: Investor, Executive, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.