Artificial intelligence is no longer just a software boom. It is reshaping the industrial economy.
Seoul, South Korea
Samsung Electronics and Taiwan Semiconductor Manufacturing Company are reporting extraordinary financial momentum as global spending on artificial intelligence drives unprecedented demand for advanced chips, memory and data-center infrastructure. Samsung estimates that its third-quarter operating profit reached 107.4 trillion won, approximately $80.2 billion, almost nine times the level recorded a year earlier. If confirmed, it would mark the most profitable quarter in the company’s history and one of the largest operating profits ever reported by a technology company.
The scale of the increase reflects a structural shift inside the semiconductor industry. AI data centers require enormous volumes of high-bandwidth memory, or HBM, which allows processors to move large quantities of data at very high speeds. Samsung is benefiting not only from this specialized demand but also from tighter supplies of conventional DRAM and NAND memory, which have pushed prices higher across the market. Estimated quarterly sales have reached approximately $145.6 billion, reinforcing the company’s position at the center of the global memory cycle.
TSMC is experiencing a parallel acceleration. The world’s largest contract chip manufacturer reported September revenue growth of more than 50 percent year on year, while estimated third-quarter revenue reached a record of roughly $46.8 billion. Its customer base includes some of the most influential companies in the AI ecosystem, including Nvidia and Apple, making TSMC one of the clearest industrial beneficiaries of the global race to expand computing capacity.
Taiwan’s broader economy is also feeling the effects. Semiconductor and AI hardware demand helped push the island’s exports to a record level in September, while economic growth has accelerated sharply. The semiconductor sector is therefore functioning not simply as a corporate success story but as a national strategic engine connecting trade, industrial policy and geopolitical influence.
The boom also carries vulnerabilities. Investors are increasingly asking how long current memory prices and AI capital spending can remain elevated. Semiconductor cycles have historically moved between shortages and oversupply, while the enormous investment required for new fabrication plants could eventually increase capacity faster than demand. Geopolitical risk adds another layer because much of the world’s most advanced chip production remains concentrated in East Asia.
The deeper transformation is nevertheless clear. AI is generating demand across an entire physical infrastructure that includes processors, memory, manufacturing equipment, power systems, cooling technologies and data centers. The companies controlling these bottlenecks are becoming increasingly important to both corporate strategy and national security.
Artificial intelligence may run on algorithms, but its power is being built in factories.