Samsung Electronics is heading toward one of the strongest quarterly performances in its history as surging demand for artificial intelligence infrastructure continues to boost the global memory-chip market.

The South Korean technology giant has estimated a preliminary operating profit of 107.4 trillion won, equivalent to roughly $80 billion, for the July-to-September quarter. The figure represents a dramatic increase from the same period a year earlier and would mark the first time Samsung has crossed the 100 trillion won threshold in quarterly operating profit.

The company’s estimated third-quarter revenue reached approximately 195 trillion won, also representing a substantial year-on-year increase. Samsung’s strong performance has been closely linked to the rapid expansion of AI data centers around the world.

Artificial intelligence systems require enormous quantities of computing power and memory. As technology companies invest heavily in AI infrastructure, demand has risen for advanced memory products capable of processing and moving large volumes of data.

One of the most important products in this market is high-bandwidth memory (HBM). These specialized memory chips are used alongside powerful AI processors and accelerators to support demanding workloads involved in training and operating advanced AI models.

Samsung is one of the world’s largest memory-chip manufacturers and is seeking to expand its position in the rapidly growing HBM market. The company’s semiconductor business is expected to account for a major share of the latest earnings improvement.

The AI-driven memory boom has also affected conventional DRAM and NAND products. Tight supply and strong demand have pushed memory prices higher, providing semiconductor manufacturers with significantly stronger margins.

The latest results illustrate how dramatically the semiconductor market has changed. Samsung’s memory business had previously faced difficult conditions during a major industry downturn, but the rapid construction of AI data centers has created a new wave of demand.

However, the company is not benefiting equally across all of its businesses. Higher component costs have placed pressure on Samsung’s smartphone and consumer-electronics operations. Analysts expect some of these businesses to face weaker profitability even as the semiconductor division performs strongly.

Samsung’s share price has also reflected investor caution. Despite the record earnings outlook, investors remain concerned about how long the current AI-driven semiconductor boom can continue. The memory industry is historically cyclical, meaning periods of exceptionally strong demand can eventually be followed by oversupply and falling prices.

Another potential challenge is growing competition. Samsung, SK Hynix and Micron are all expanding their memory production capabilities to meet demand from AI infrastructure developers. Competition could become increasingly important as manufacturers invest in additional capacity.

Samsung is also working to strengthen its position in advanced HBM products. The company has been expanding production and developing newer generations of high-bandwidth memory designed for next-generation AI systems.

The broader trend demonstrates the growing economic influence of artificial intelligence. The AI boom is no longer limited to software companies developing chatbots and generative AI platforms. It is also driving demand across the semiconductor supply chain, including memory, processors, networking equipment and data-center infrastructure.

Samsung’s record forecast therefore provides a clear indication of how rapidly AI investment is reshaping the global technology industry. If demand for AI infrastructure remains strong, memory manufacturers could continue to benefit from elevated orders and pricing.

Samsung is expected to release its detailed third-quarter financial results later in October, including a breakdown of performance across its major business divisions.

For the global technology sector, the company’s results will be closely watched as another indicator of whether the massive investment in artificial intelligence infrastructure can continue supporting strong growth across the semiconductor industry.