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GPUBeat AI Geopolitics Goldman Sachs Upgrades SMIC Target Amid…

Goldman Sachs Upgrades SMIC Target Amid AI Demand Surge

Goldman Sachs raises SMIC's target price to HKD135, driven by AI trends and ongoing capacity expansion, with a bullish outlook for 2026.

SMIC's growth driven by AI demand — SMIC, Goldman Sachs
Goldman Sachs Upgrades SMIC Target Amid AI Demand Surge Source: GPUBeat

Goldman Sachs has raised its target price for Semiconductor Manufacturing International Corporation (SMIC) to HKD135, citing a strong outlook driven by increasing demand in the AI sector. This upgrade follows SMIC's gross margins for the first quarter of 2026 surpassing analyst expectations, showcasing its resilience in a competitive semiconductor market.

Five Key Growth Drivers

The investment bank identified five key factors expected to drive SMIC's growth in the coming years. First, the widespread adoption of artificial intelligence is significantly increasing demand for supporting analog and logic chips. As companies shift towards high-end AI technology, SMIC is poised to benefit from this trend.

Second, demand for mainstream semiconductor products is expected to remain strong, particularly as international competitors focus on high-end AI chips. This shift could allow SMIC to capture market share in less saturated segments.

Third, SMIC is currently expanding its capacity, which should enhance production capabilities and support revenue growth. This expansion is essential as global supply chains adapt to the rising demand for semiconductor products.

Fourth, domestic demand in China is increasing, largely due to concerns over supply security. As companies look to reduce reliance on foreign suppliers, SMIC is well-positioned to fulfill this demand.

Finally, an improved product mix is likely to lead to higher gross margins. The move towards more profitable products is expected to outpace growth in traditional offerings, further bolstering SMIC's financial performance.

Market Context

In the broader semiconductor industry, SMIC's performance stands out. The company is projected to maintain a high capacity utilization rate into the second quarter of 2026, which will support its gross margins through an improved product mix and rising average selling prices (ASP). Goldman Sachs holds a Buy rating on the stock, reflecting confidence in SMIC's ability to navigate a rapidly changing market.

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The recent target price upgrade from HKD134 to HKD135, while modest, indicates positive sentiment among analysts regarding SMIC's future. As the company continues to expand its capabilities and respond to market demands, it remains a significant player in the semiconductor sector.

Implications for the Future

Looking ahead, SMIC's focus on AI and capacity expansion may position it favorably for sustained growth. As demand for semiconductors, especially those that support AI technologies, continues to rise, SMIC could see substantial revenue gains. The company's ability to leverage these trends will be critical as it competes with global peers for market share in both high-end and mainstream segments.

The semiconductor industry is in a transformative phase, and SMIC appears well-equipped to capitalize on the opportunities created by AI and domestic demand. Investors will be closely monitoring how the company implements its growth strategy in the upcoming quarters.

Quick answers

What factors influenced Goldman Sachs’ upgrade of SMIC?

The upgrade was based on strong gross margins, AI demand, ongoing capacity expansion, and domestic customer demand.

What is the new target price for SMIC?

Goldman Sachs raised the target price for SMIC from HKD134 to HKD135.

How is SMIC expected to maintain its margins?

SMIC is expected to maintain margins through an improved product mix and higher average selling prices.

What is the significance of the AI trend for SMIC?

The AI trend is driving up demand for supporting analog and logic chips, which SMIC is well-positioned to supply.

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GPUBeat Desk

Desk · joined 2026

GPUBeat Desk covers AI infrastructure — chips, foundation models, inference economics, datacenter buildouts, and the geopolitics of compute.