South Korean tech firms brace for record profits amid AI boom

South Korea's major semiconductor and electronics firms, including SK Hynix, LG Innotek, and Samsung Electro-Mechanics, are poised to announce their second-quarter financial results this week, with industry analysts predicting a significant upswing in profits. This expected surge is largely attributed to the booming artificial intelligence (AI) sector, which is driving unprecedented demand for high-bandwidth memory (HBM) and other advanced components.

SK Hynix, a key player in the HBM market, is forecast to report its highest-ever quarterly operating profit, potentially exceeding 10 trillion won. This milestone would be driven by robust sales of HBM and server DRAM, essential for AI data centers. The company's third-quarter performance alone is projected to reach 24.4 trillion won in revenue and 11.3 trillion won in operating profit, boasting an impressive operating profit margin of 47%.

This AI-driven growth extends beyond memory chips. Component manufacturers like LG Innotek and Samsung Electro-Mechanics are also expected to see substantial profit improvements. LG Innotek's second-quarter operating profit is estimated to reach 182.3 billion won, a sixteenfold increase year-on-year, thanks to the recovery of its optical solutions business and strong sales of premium smartphone components. Samsung Electro-Mechanics anticipates an operating profit of 406.1 billion won, propelled by increased supply of high-value multilayer ceramic capacitors (MLCCs) for AI servers and flip-chip ball grid array (FC-BGA) substrates.

The broader electronics industry is benefiting from the ripple effect of AI investments. Increased demand for data centers has spurred growth not only in HBM and server DRAM but also in related components such as MLCCs and semiconductor substrates. This trend is further supported by rising prices for DRAM and NAND flash memory, as supply remains constrained due to the focus on high-margin products like HBM. The robust performance is expected to continue as global tech giants intensify their investments in AI infrastructure.