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šŸ“‰ AI Chip Demand Weakens: Samsung Projects 39% Profit DropĀ 

In a market where artificial intelligence is revolutionizing every corner of business, tech giant Samsung Electronics delivered a surprising forecast: a 39% drop in its Q2 2025 operating profit. The reason? Weaker-than-expected demand for AI chips, particularly High Bandwidth Memory (HBM) used in training large AI models.Ā 

Samsung estimates its Q2 operating profit at 6.6 trillion won ($4.76 billion)—falling short of analyst predictions and signaling that even the world’s largest memory chip maker isn’t immune to volatility in the AI sector. 

Samsung AI chip demand decline reflected in server market slowdown
Samsung faces a 39% profit drop in Q2 2025 as AI chip demand temporarily slows.

🧠 What’s Driving the Decline? 

While demand for AI services continues to skyrocket, Samsung’s drop highlights a temporary slowdown in hardware procurement by AI companies. 

Key reasons behind the decline: 

  • Delayed shipments of advanced HBM chips to key partners like NVIDIAĀ 
  • Oversupply issues from Q1 production runsĀ 
  • Rising competition in the AI chip space from SK Hynix and MicronĀ 
  • A shift in focus by cloud providers toward software optimization over hardware scalingĀ 

Samsung’s HBM chips are critical for powering AI accelerators used in large language model training and inferencing. Delays in integration, especially in NVIDIA’s new chipsets, contributed to missed revenue windows. 

šŸ“Š Market Analysts React 

Market experts emphasize that the shortfall is not a collapse in AI momentum, but rather a supply-chain timing issue

ā€œThe AI chip sector is still in high demand, but inventory balancing is slowing immediate orders,ā€ said Joon Park, semiconductor analyst at SeoulTech Research. 

Industry watchers believe Samsung will bounce back in the second half of the year once delayed orders are fulfilled and next-gen chipsets reach production scale. 

šŸ” AI Hardware Cycles Are Maturing 

Samsung’s slowdown also reflects an industry-wide trend: AI hardware cycles are stabilizing. Unlike the explosive surge of 2023–2024, companies are now focusing on: 

  • Sustainable data center growthĀ 
  • Energy-efficient AI computeĀ 
  • Software-driven model tuning over brute-force chip scalingĀ 

This maturity signals a healthy evolution of the AI landscape, where innovation is more balanced between hardware and software. 

🌐 Strategic Focus Still on AI 

Despite facing a decline in profits, Samsung has reaffirmed its commitment to artificial intelligence (AI). 

  • Expanding HBM4 production for 2026 rolloutĀ 
  • Investing in next-gen neural processing units (NPUs)Ā 
  • Exploring strategic partnerships in AI cloud infrastructureĀ 

These long-term plays show that Samsung views AI not as a trend, but as a core pillar of future growth. 

šŸ”— Related News from AI CERTs 

āœ… Final Word 

Samsung’s projected drop in profit may be a short-term setback, but it reflects growing pains in a rapidly evolving industry. As AI hardware demand fluctuates, adaptability and long-term strategy will determine who leads the next wave of intelligent computing.Ā 

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