Samsung marks a historic milestone driven by the AI fever

An unprecedented leap in the semiconductor industry

The global technology landscape has recorded a financial milestone that redefines hardware market expectations: Samsung Electronics has projected operating profits for the third quarter of 2026 of approximately 107.4 trillion won (nearly $80 billion). This 783% increase compared to the 12.17 trillion won from the previous year represents not just a sales peak, but a structural reconfiguration of global demand. Historically, the semiconductor market has moved in boom-and-bust cycles tied to PC and smartphone demand. However, what we are observing in 2026 is the decoupling of memory from mass consumption, consolidating it as the critical infrastructure of the generative artificial intelligence era.

Why is memory the new 'gold' of AI?

Over the last decade, the industry's focus was almost exclusively on the computing power of GPUs, led by Nvidia. However, the design of large language models (LLMs) has found its greatest bottleneck in memory. The Von Neumann architecture, which separates the processor from the memory, has become insufficient given the need to move terabytes of parameters in milliseconds. This is where High Bandwidth Memory chips (HBM3E and above) have become the most valuable component. Samsung does not just sell storage; it sells the capacity for AI models to 'think' without latency. Unlike conventional DRAM, HBM stacks chips vertically using TSV (Through-Silicon Via) technology, a complex manufacturing process that gives Samsung a defensive competitive advantage over smaller-scale manufacturers. This situation bears parallels to the component shortages of 2020-2021, but with a fundamental difference: this time, the demand is not for discretionary consumption, but for capital-intensive infrastructure that fuels the productivity of global companies.

Consequences for the market and the sector

The impact of these results extends across three main axes:

• Consolidation of leadership and supply war: Samsung has managed to stabilize its supply chain against competitors like SK Hynix and Micron. Its ability to scale HBM production is currently the limiting factor for the deployment of hyperscale data centers.
• Domino effect on consumer electronics: Prioritizing manufacturing capacity toward high-margin AI chips could lead to relative shortages or increased production costs for traditional electronic devices, such as laptops and IoT devices, as they compete for the same space on silicon wafers.
• R&D revolution (PIM architectures): With unprecedented cash flow, Samsung is accelerating the transition toward PIM (Processing-in-Memory) technology. This technology promises to dissolve the barrier between memory and processor, allowing storage to perform elementary calculations itself, a disruption that could render current architectures obsolete within the next five years.

What readers should keep in mind: Sustainability or bubble?

While data reported by sources such as The Next Web confirm a record projection, it is essential to maintain analytical skepticism. The semiconductor sector is inherently volatile. First, there is an extreme dependence on the capital expenditure (CapEx) of big tech companies (Google, Microsoft, Meta, AWS). If these companies were to slow their spending on AI infrastructure due to a lack of clear monetization of their services, Samsung would see an immediate impact. Second, speculation about the sustainability of this growth is high: to date, it is not confirmed that HBM demand will maintain this exponential pace beyond 2027. Finally, investors should consider that the history of semiconductors is marked by overcapacity; when supply finally catches up to demand, margins often collapse. Samsung's bet is clear: to become the 'pick and shovel' provider of the AI gold rush, but long-term success will depend on its ability to diversify its technology portfolio before the market cycle changes phase.