Samsung's Phone Business May Post First-Ever Loss as AI Triggers Chain Reaction

Introduction: A Butterfly Effect Sparked by AI

Samsung Electronics, one of the world's largest smartphone manufacturers, faces an unprecedented predicament — its mobile business may be heading toward the first-ever loss in company history. According to multiple international media outlets citing informed sources, Samsung executives are deeply concerned about the profitability outlook for the smartphone division, and the root cause points to today's hottest technological wave: artificial intelligence.

The explosive growth of AI technology is sending shockwaves through the global semiconductor supply chain, and Samsung, as a giant straddling both chip manufacturing and consumer electronics, is feeling the full force of this storm.

The Core Issue: AI Devours Memory Capacity, Phone Business Bleeds

At the heart of the problem lies an AI-driven memory chip shortage. As demand for large language model training and AI inference grows exponentially, demand for high-end memory chips such as High Bandwidth Memory (HBM) has surged. Procurement orders from AI chip giants like NVIDIA and AMD continue to climb, with data center customers willing to pay hefty premiums for these chips.

In this market environment, Samsung's semiconductor division naturally tends to allocate more DRAM and NAND Flash capacity to higher-margin AI-related products. However, this capacity shift has directly tightened the supply of memory chips for smartphones and driven up costs. Samsung's mobile division has been forced to procure chips at higher internal transfer prices, severely compressing profit margins.

Meanwhile, the global smartphone market itself faces slowing growth. Consumer upgrade cycles are lengthening, and competition from Chinese brands in the low-to-mid-range segment is intensifying. Although Samsung's flagship Galaxy S series features AI capabilities such as Galaxy AI, these have yet to deliver the anticipated sales surge. With revenue under pressure and costs rising, the risk of losses in the mobile business is becoming increasingly real.

Deep Analysis: Samsung's Internal Tug-of-War

Samsung's predicament is in some ways a "champagne problem," but more accurately, it exposes deep contradictions within its diversified business structure.

First, a zero-sum game in internal resource allocation. Samsung Semiconductor and Samsung Mobile Communications are separate divisions under the same conglomerate. When the AI chip business is highly profitable, resource tilting at the group level is virtually inevitable. Memory chip capacity is finite — more wafers allocated to HBM means fewer left for smartphone memory chips. This internal competition was not prominent in the past, but the AI wave has completely reshuffled the priority order.

Second, differentiated pressure from competitors. Apple enjoys a vertically integrated advantage with its custom-designed chips and sources memory chips entirely from external suppliers, avoiding any internal capacity conflicts. Meanwhile, Chinese smartphone makers such as Xiaomi, OPPO, and vivo continue to erode Samsung's share in the mid-range market through more agile supply chain management and lower cost structures. Samsung's phone business finds itself in the awkward position of being squeezed by Apple from above and Chinese competitors from below.

Third, the commercial returns on AI phones remain unrealized. The Galaxy AI features Samsung heavily promoted in the Galaxy S24 series — including real-time translation and AI image editing — generated marketing buzz but, based on actual sales data, have not yet become decisive factors driving consumers to upgrade. The R&D investment in AI features is substantial, yet short-term commercial returns are limited, further burdening the mobile division's finances.

Fourth, concerns in the HBM technology race. Notably, Samsung's performance in the HBM space has not been entirely smooth. SK Hynix currently holds a leading position in the HBM3E market, and Samsung's HBM products reportedly faced challenges in passing NVIDIA's quality certification. This means that while Samsung has tilted capacity toward AI chips, it also faces uncertainty in capturing share in this high-margin market.

Industry Impact: AI Reshapes the Semiconductor Landscape

Samsung's experience is not an isolated case — it reflects how AI technology is profoundly reshaping the entire semiconductor and consumer electronics industry.

Memory chip manufacturers are undergoing a massive strategic shift. Micron Technology is similarly ramping up HBM capacity as a share of its output, with traditional PC and smartphone memory chips clearly falling in priority. This trend could lead to rising memory costs in future consumer electronics products, ultimately being passed on to end consumers.

For the smartphone industry as a whole, rising upstream chip costs will accelerate industry consolidation. Smaller brands lacking economies of scale and supply chain bargaining power will face greater survival pressure, while competition among leading brands will shift from pure product capability to supply chain management and resource integration.

Outlook: How Can Samsung Break Through?

Facing this complex situation, Samsung needs to make strategic adjustments on multiple fronts.

In the short term, Samsung may need to revisit its internal transfer pricing mechanism to find a more reasonable balance of interests between the semiconductor and mobile divisions. Simultaneously, optimizing the smartphone product lineup by cutting low-margin models and focusing on the premium and upper-mid-range segments will be critical to stopping the bleeding.

In the medium to long term, Samsung must accelerate differentiated innovation in AI smartphones, making AI features a genuine source of product premiums and user loyalty. Additionally, narrowing the gap with SK Hynix in HBM and other AI chip segments to secure market share in high-margin businesses is essential to fundamentally improving the group's overall profitability structure.

Samsung's crisis is essentially a microcosm of the growing pains of corporate strategic transformation in the AI era. As AI redefines the value chain of the chip industry, every participant must rethink its positioning. For Samsung, how well it balances the interests of its various business units amid the AI chip gold rush will determine the trajectory of this tech giant over the next decade.