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Samsung, LG Innotek earnings rise on AI chip demand

South Korean electronic parts makers Samsung Electro-Mechanics and LG Innotek reported stronger first-quarter earnings.

Demand for AI-related semiconductor substrates and components tightened capacity and lifted analyst expectations.

Samsung Electro-Mechanics posted 3.2 trillion won (US$2.18 billion) in revenue and 280.6 billion won (US$191 million) in operating profit.

Local brokerages raised their target prices above 1 million won (US$680).

LG Innotek reported 5.5 trillion won (US$3.76 billion) in revenue and 295.3 billion won (US$201 million) in operating profit.

The company is expanding substrate production as demand rose.

🔗 Source: The Korea Times

🧠 Food for thought

Implications, context, and why it matters.

Demand may be running far ahead of supply

  • Demand for Samsung Electro-Mechanics’ advanced FC-BGA substrates tops current output by more than 50% 1.
  • The company plans to more than double facility spending in 2026, with investment set to pass 2 trillion won (US$1.36 billion) 2.
  • That plan includes about 1.8 trillion won (US$1.2 billion) for a new FC-BGA plant in Vietnam 3.
  • The buildout targets AI data-center demand while Samsung Electro-Mechanics adds FC-BGA customers such as Broadcom, a US chip and networking company, plus Google, Amazon and Nvidia 3.

AI hardware demand is squeezing less visible parts

  • The rush to secure graphics processing units (GPUs) can draw attention away from tightening supply of substrates and multilayer ceramic capacitors (MLCCs) 2.
  • AI servers use 10 to 15 times more MLCCs than general-purpose servers. Demand is also moving toward higher-capacitance, higher-temperature and higher-voltage parts 4.
  • That surge is helping create a seller’s market in some high-end parts. It may give Samsung Electro-Mechanics and Japan’s Murata Manufacturing, an electronic components maker, more room to raise prices 1.
  • Higher component prices could lift the cost of building AI infrastructure, which may pressure the financial models of cloud providers and companies spending heavily on AI 1.

Recent Samsung Electro-Mechanics developments

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