Samsung and AI Fever: How Memory Demand Multiplied Profits Five Times

Samsung Electronics' financial report is a signal that the artificial intelligence industry is still running at full throttle: the Korean giant's chip division didn't just turn a profit — it beat analysts' expectations, posting more than a fivefold increase in profit. And this isn't a fluke, but a pattern.

The Memory Market Depression and the Turnaround

For a long time, the memory market was mired in a deep depression. Overproduction, falling prices, and weak demand for consumer electronics forced manufacturers to tighten their belts. But the rise of generative AI changed the rules of the game: memory is no longer just a boring laptop component, but a critically important fuel for data centers.

Demand for HBM as the Main Driver

The main driver of this growth is demand for high-bandwidth memory (HBM), which is essential for running Nvidia's GPUs and those of its competitors. Training large language models requires colossal volumes of fast memory, and tech giants are willing to pay any price for it. Samsung, which for a long time was catching up with its neighbor SK Hynix in the HBM race, is finally starting to reap the rewards of its investments and production scaling.

The Case Against an AI Investment "Bubble"

This report puts a firm end to the debate over whether the AI infrastructure investment bubble will burst anytime soon. Skeptics argue that companies are spending billions on hardware without getting comparable returns from software. However, Samsung's fivefold profit growth suggests the opposite: Microsoft, Google, Meta, and other players have no intention of slowing down. They keep buying equipment, preparing for the next rounds of the AI battle.

Samsung's Return to the Big Leagues

For Samsung itself, this means a return to the big leagues of hardware suppliers for the new computing era. While the company once relied on smartphones and home appliances, it's now the semiconductor business that's once again becoming the locomotive driving the entire corporation's financial performance. The memory market is cyclical, and right now we're watching the start of a powerful upward cycle, fueled entirely by algorithms.

Bottom line: The "hardware" phase of the AI revolution is far from over. While software companies are still searching for business models, chip and memory makers keep printing money. Samsung is back in the game, which means a memory shortage for future GPT-5 and Gemini 2 models is unlikely.

Source: Bloomberg Tech.

How much did Samsung's chip division's profit grow?

Samsung Electronics' chip division profit grew more than fivefold and exceeded analysts' expectations.

Why is HBM memory so important for the AI industry?

High-bandwidth memory (HBM) is essential for running Nvidia's GPUs and those of its competitors, and training large language models requires colossal volumes of fast memory.

Does

Samsung's report mean companies aren't cutting back on AI hardware purchases?

The report settles the debate over whether the AI infrastructure investment bubble will burst: Microsoft, Google, Meta, and other players continue buying equipment, preparing for the next rounds of the AI battle.

*Meta has been designated an extremist organization and is banned in Russia.