
AI CERTS
2 months ago
đ AI Chip Demand Weakens: Samsung Projects 39% Profit DropÂ
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.Â
Samsung estimates its Q2 operating profit at 6.6 trillion won ($4.76 billion)âfalling short of analyst predictions and signaling that even the worldâs largest memory chip maker isnât immune to volatility in the AI sector.

đ§ Whatâs Driving the Decline?
While demand for AI services continues to skyrocket, Samsungâs 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 NVIDIAÂ
- Oversupply issues from Q1 production runsÂ
- Rising competition in the AI chip space from SK Hynix and MicronÂ
- A shift in focus by cloud providers toward software optimization over hardware scalingÂ
Samsungâs HBM chips are critical for powering AI accelerators used in large language model training and inferencing. Delays in integration, especially in NVIDIAâs new chipsets, contributed to missed revenue windows.
đ Market Analysts React
Market experts emphasize that the shortfall is not a collapse in AI momentum, but rather a supply-chain timing issue.
âThe AI chip sector is still in high demand, but inventory balancing is slowing immediate orders,â 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.
đ AI Hardware Cycles Are Maturing
Samsungâs slowdown also reflects an industry-wide trend: AI hardware cycles are stabilizing. Unlike the explosive surge of 2023â2024, companies are now focusing on:
- Sustainable data center growthÂ
- Energy-efficient AI computeÂ
- Software-driven model tuning over brute-force chip scalingÂ
This maturity signals a healthy evolution of the AI landscape, where innovation is more balanced between hardware and software.
đ 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 rolloutÂ
- Investing in next-gen neural processing units (NPUs)Â
- Exploring strategic partnerships in AI cloud infrastructureÂ
These long-term plays show that Samsung views AI not as a trend, but as a core pillar of future growth.
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â Final Word
Samsungâs 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.Â
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