Samsung Forecasts Record AI Profit

Samsung Forecasts Record Profit As AI Memory Demand Surges

Samsung forecasts record quarterly profit as surging AI infrastructure demand drives strong prices for HBM, DRAM and NAND memory.

Samsung Electronics is forecasting its strongest quarterly operating profit ever, as the global artificial-intelligence infrastructure boom drives unprecedented demand for memory chips. The South Korean technology giant said on October 8 that third-quarter operating profit is expected to reach approximately 107.4 trillion won ($80.17 billion), nearly nine times the result from a year earlier and slightly above the LSEG SmartEstimate of 106.1 trillion won. Revenue is expected to reach about 195 trillion won, a 127% year-over-year increase. The result would make Samsung the first technology company to record quarterly operating profit above 100 trillion won. The surge is being driven principally by tight supplies of DRAM, NAND and high-bandwidth memory used in AI infrastructure. Yet the extraordinary numbers also expose a more complicated investment story: Samsung's consumer businesses remain under pressure, its foundry operation faces challenges, and investors are already questioning how sustainable the current AI-driven memory boom will be.

A Record Profit Forecast

Samsung's preliminary third-quarter figures represent a dramatic change from the company's position one year earlier.

The company expects operating profit of approximately 107.4 trillion won for the July-to-September period, compared with 12.17 trillion won in the same quarter of 2025.

That represents an increase of roughly 783%, or nearly nine times the previous year's result.

The forecast also exceeds the LSEG SmartEstimate of 106.1 trillion won, meaning Samsung's preliminary operating-profit figure came in slightly ahead of analyst expectations.

Revenue is expected to reach approximately 195 trillion won, compared with the previous year's figure of roughly 86 trillion won.

That would represent growth of approximately 127% year over year.

The figures are preliminary. Samsung is expected to release its detailed third-quarter results, including a breakdown by business division, later in October.

AI Is Driving The Memory Boom

The main force behind Samsung's extraordinary improvement is artificial intelligence.

Modern AI systems require enormous quantities of memory to train and operate large models.

High-bandwidth memory, or HBM, is particularly important because it allows AI processors to access large amounts of data at very high speeds.

Demand for HBM has expanded rapidly as technology companies build increasingly powerful AI accelerators and data centers.

At the same time, conventional DRAM and NAND memory demand has also strengthened.

The result is a broader memory-market squeeze rather than a boom limited to one specialized AI component.

Reuters reported that the global supply-demand imbalance is expected to persist into 2027, although the exact duration remains uncertain. 2

Why Memory Prices Are Rising

Semiconductor memory is a cyclical industry.

When supply is plentiful, prices can fall sharply as manufacturers compete for customers.

When demand rises faster than production capacity, prices can move in the opposite direction.

That is what is happening in the current AI-driven cycle.

AI data-center operators are purchasing enormous amounts of computing equipment, and those systems require both processing chips and memory.

Manufacturers have responded by expanding capacity, but semiconductor factories take time and substantial capital to build.

That delay can create a period in which demand grows much faster than supply.

HBM Has Become A Strategic AI Component

High-bandwidth memory is particularly important because AI accelerators need to move huge amounts of information between processing units and memory.

Traditional memory architectures can become a bottleneck for high-performance AI workloads.

HBM helps reduce that bottleneck by providing high bandwidth in a compact package that can be integrated closely with advanced processors.

That has turned HBM into one of the most strategically important products in the semiconductor industry.

Samsung, SK Hynix and Micron are among the companies competing to supply this market.

The strength of AI investment therefore has direct consequences for the financial performance of memory manufacturers.

Samsung's Profit Is Becoming An AI-Economy Indicator

Samsung's results provide another piece of evidence that the AI infrastructure boom is generating substantial real-world demand.

Companies have announced enormous investments in AI data centers, but semiconductor results show how those investments are translating into orders for physical hardware.

TSMC has also reported exceptionally strong revenue as demand for advanced processors rises.

Samsung's latest forecast adds the memory side of the story.

Taken together, the results suggest that the AI investment cycle is benefiting multiple layers of the semiconductor supply chain.

The AI Supply Chain Is Becoming More Capital Intensive

AI is often described as a software revolution, but Samsung's results underline its physical side.

Every large AI model requires data centers, processors, memory, networking equipment, storage, electricity and cooling.

Those systems require billions of dollars in investment.

Memory manufacturers must also spend heavily to add production capacity.

That creates a feedback loop.

Higher AI demand increases chip orders.

Higher chip prices increase semiconductor-company profits.

Higher profits provide more capital for new manufacturing capacity.

But if AI investment eventually slows, companies that have expanded too aggressively could face excess capacity and weaker pricing.

Samsung's Fourth Consecutive Record Quarter

The latest forecast marks Samsung's fourth consecutive quarter of record operating profit.

That streak demonstrates how dramatically the company's financial performance has changed during the current AI cycle.

Samsung's second-quarter results had already set records, with operating profit reaching approximately 89.5 trillion won.

The projected third-quarter figure would represent another major sequential increase.

The acceleration shows that the memory market has moved from recovery into an unusually powerful upswing.

But Samsung Is Not Winning Everywhere

The company's headline number can obscure weakness elsewhere in the business.

Samsung's mobile division is facing pressure from higher component costs and competition in smartphones.

Its foundry business also remains challenging, with low utilization and fixed costs weighing on profitability.

Reuters reported that Samsung's mobile division was expected to record a loss of more than $1 billion in the quarter, while its contract chipmaking business remained loss-making. 3

That creates an important distinction between Samsung's overall earnings and the performance of individual divisions.

The company is exceptionally profitable because the memory business is experiencing an extraordinary boom, not because every Samsung operation is performing equally well.

Samsung's Foundry Challenge

Samsung is also one of the world's largest semiconductor manufacturers outside the memory market.

Its foundry business competes with TSMC to manufacture advanced processors designed by other companies.

However, Samsung has struggled to achieve the same level of customer traction and manufacturing economics as its Taiwanese rival in some advanced-node businesses.

Low utilization can be especially painful in semiconductor manufacturing because fabrication plants have enormous fixed costs.

A factory must be operated efficiently to spread those costs across a sufficiently large volume of wafers.

That means Samsung's memory success does not automatically solve its broader semiconductor challenges.

The Strong Korean Won Is Another Headwind

Samsung generates a large portion of its sales internationally, meaning exchange rates can affect reported financial results.

A stronger South Korean won can reduce the value of overseas revenue when converted back into the local currency.

Reuters noted that the appreciation of the won is one factor affecting Samsung's earnings outlook.

Currency movements therefore represent an additional variable investors will need to consider when evaluating the sustainability of the record profits.

Why Investors Are Still Cautious

Normally, a profit forecast of $80 billion would be expected to produce an overwhelming positive market reaction.

Samsung's share price response has been more restrained.

Investors are increasingly asking whether the current AI-driven memory shortage can continue.

Memory is historically cyclical, and extraordinary profitability can attract aggressive capacity expansion.

If multiple manufacturers increase production at the same time, supply could eventually catch up with demand.

Once that happens, memory prices could weaken.

That is why investors often value memory companies at lower multiples than software or platform businesses, even during periods of exceptional profitability.

Samsung's Valuation Reflects The Cyclical Risk

Reuters Breakingviews noted that Samsung trades at a substantially lower forward earnings multiple than Nvidia, reflecting the market's view that memory remains a cyclical and comparatively commoditized business.

Nvidia, by contrast, is primarily valued around its position in AI computing and the expectation of continued high margins and technological leadership.

Samsung's lower valuation does not mean its profits are unimportant.

It means investors are assigning less certainty to the durability of those profits.

The question is therefore not simply how much Samsung earns today.

It is how long the company can maintain elevated memory prices and margins.

Memory Prices Are The Key Variable

Memory pricing will probably be one of the most important indicators for Samsung's earnings trajectory.

Reuters reported that average DRAM prices had risen around 20% quarter over quarter, with analysts expecting another 10% to 15% increase in the fourth quarter.

If that forecast materializes, Samsung could enter the final quarter of 2026 with continued pricing power.

But sustained price increases can also encourage customers to reduce purchases, seek alternative suppliers or redesign systems to use memory more efficiently.

Eventually, additional manufacturing capacity can also reduce the shortage.

AI Data Centers Are Changing Memory Demand

The current memory cycle is different from some earlier smartphone-led cycles because AI data centers require unusually large quantities of high-performance memory.

A traditional consumer device may use a relatively modest amount of memory.

A large AI computing cluster can require huge quantities of DRAM and HBM across thousands of accelerators and servers.

As cloud providers build larger AI clusters, their memory requirements rise alongside processor purchases.

This makes memory a structural part of AI infrastructure rather than a secondary component.

The Supply Shortage Could Last Beyond 2026

Samsung and other memory manufacturers have indicated that tight supply conditions could persist for several years.

Reuters reported expectations that the imbalance could continue into 2027, while other industry assessments have suggested shortages could extend even further depending on AI investment and production expansion.

However, these are forecasts rather than guaranteed outcomes.

Memory markets can change quickly when manufacturers add capacity or when customers adjust orders.

The strength of AI capital expenditure will therefore remain critical.

Samsung Is Investing For The Next AI Cycle

Samsung is not simply benefiting from the current shortage.

The company is also investing heavily to strengthen its position in AI infrastructure.

Its strategy includes expanding high-bandwidth-memory production, developing next-generation HBM products and investing in semiconductor manufacturing capacity.

The company has also been increasing its involvement in AI technology beyond components.

Samsung announced a strategic partnership with French AI startup Mistral AI, seeking to integrate advanced AI capabilities across parts of its technology ecosystem.

That suggests Samsung wants to capture value from AI beyond simply supplying memory and processors.

HBM4 Could Be The Next Major Battleground

The next generation of high-bandwidth memory is expected to become increasingly important as AI accelerators become more powerful.

Samsung is competing with SK Hynix and Micron to supply next-generation HBM products.

Winning those contracts can have major financial consequences because leading AI chip designers need large and reliable supplies of advanced memory.

Success in HBM can therefore strengthen a memory company's revenue, margins and strategic relationship with AI accelerator manufacturers.

But qualification cycles are demanding, and customers typically require extremely high reliability.

Samsung Faces Competition From SK Hynix

Samsung is the world's largest memory-chip manufacturer, but SK Hynix has become a particularly strong competitor in high-bandwidth memory.

SK Hynix has benefited significantly from its position in the HBM market and its relationships with major AI-chip customers.

The competition is strategically important because HBM is among the fastest-growing segments of the memory industry.

Samsung therefore needs to increase HBM capacity while maintaining high yields and meeting demanding customer specifications.

Micron Is Another Major Competitor

U.S.-based Micron is also expanding aggressively in high-performance memory.

Its investments are designed to capture a larger share of the AI infrastructure market.

The three-way competition among Samsung, SK Hynix and Micron could determine how quickly HBM supply expands.

If all three companies increase capacity aggressively, today's shortage could eventually become a surplus.

If AI demand continues growing faster than production, however, memory prices could remain elevated for longer.

The Smartphone Business Faces The Other Side Of The Boom

There is an important irony in Samsung's results.

The same memory-price surge that increases the profitability of Samsung's semiconductor business also raises costs for companies producing smartphones, PCs and other electronics.

Samsung's own consumer divisions can therefore face higher input costs because of the strength of its semiconductor business.

This creates a transfer of value within the technology supply chain.

AI data centers are absorbing more memory, pushing prices higher and benefiting memory manufacturers, while hardware businesses that purchase memory face greater costs.

AI Spending Is Becoming A Global Economic Force

Samsung's numbers also reinforce a broader point about artificial intelligence.

The AI boom is no longer confined to software developers and cloud companies.

It is now influencing the financial performance of semiconductor manufacturers, equipment suppliers, utilities, construction companies and data-center operators.

AI infrastructure is becoming a major source of global capital expenditure.

That means a slowdown in AI spending could have consequences far beyond the technology sector.

Conversely, continued expansion could keep demand strong across a wide range of industries.

The Capital-Spending Question

The next phase of the memory cycle will depend heavily on how much money technology companies continue to spend on AI infrastructure.

Major cloud providers and AI developers are committing enormous amounts of capital to new data centers and computing hardware.

Some are increasingly using debt and other financing structures to fund that investment.

Higher interest rates could make those projects more expensive.

If financing conditions tighten significantly, technology companies could slow expansion, eventually reducing demand for memory.

That is one of the main reasons investors are watching the bond market as closely as semiconductor earnings.

Potential Upside For Samsung

• Continued AI infrastructure spending: More data centers would support sustained demand for HBM, DRAM and NAND.
• Higher memory prices: Tight supply could maintain strong semiconductor margins.
• HBM4 adoption: Successful next-generation products could strengthen Samsung's position with AI-chip customers.
• Capacity expansion: Additional production could allow Samsung to capture more of the growing market.
• AI ecosystem expansion: Partnerships could help Samsung capture value beyond hardware.

Potential Risks

• Memory oversupply: Aggressive factory expansion could eventually push prices lower.
• AI spending slowdown: Lower data-center investment would reduce future chip demand.
• HBM competition: SK Hynix and Micron could gain more AI-memory market share.
• Currency pressure: A stronger Korean won could reduce the value of overseas earnings.
• Foundry losses: Weak utilization could continue weighing on Samsung's semiconductor operations outside memory.
• Consumer weakness: Higher component prices and competition could pressure smartphones and electronics.
• Geopolitical restrictions: Semiconductor trade policies could affect Samsung's customers and supply chain.

Samsung's Preliminary Third-Quarter Numbers

Metric	Q3 2026 Forecast	Year-Over-Year Change
Operating profit	107.4 trillion won	Approximately +783%
Operating profit in USD	Approximately $80.17 billion	Nearly ninefold
Revenue	195 trillion won	Approximately +127%
Analyst operating-profit estimate	106.1 trillion won	Samsung forecast slightly higher
Previous-year Q3 operating profit	12.17 trillion won	Baseline

These are Samsung's preliminary third-quarter figures, not the company's final detailed earnings statement. The full results and division-level breakdown are expected later in October.

What Investors Should Watch Next

• October earnings release: Samsung's detailed third-quarter results and division-level profitability.
• HBM revenue: Evidence of how quickly Samsung is increasing its share of AI-memory demand.
• Memory pricing: Whether DRAM and NAND prices continue rising into the fourth quarter.
• Capital expenditure: How aggressively Samsung plans to expand memory and semiconductor capacity.
• Foundry utilization: Whether Samsung can improve profitability in contract chip manufacturing.
• AI demand: Whether hyperscalers and AI companies maintain their current investment pace.
• Currency movements: Whether the Korean won continues affecting overseas earnings.
• 2027 outlook: Whether management expects the current memory shortage to remain durable.

Why The $80 Billion Forecast Matters Globally

Samsung's projected quarterly operating profit is remarkable not simply because of its size, but because of what is driving it.

A company that manufactures components deep inside the global technology supply chain is generating extraordinary profits because businesses around the world are spending enormous amounts of money on artificial intelligence.

The result shows how AI investment is spreading through the physical economy.

Every new AI data center requires processors, memory, networking equipment, storage, electricity and cooling.

Samsung sits directly in one of those critical supply chains.

The company's record therefore provides another real-world measure of the AI boom.

But the result also contains a warning.

Memory is cyclical, manufacturing capacity will eventually expand, and AI infrastructure spending cannot accelerate indefinitely without eventually being tested by returns on investment.

Samsung's record quarter shows that the AI boom is powerful today.

The more difficult question for investors is whether the extraordinary demand for AI hardware will remain strong enough to support today's elevated chip prices and tomorrow's much larger production capacity.

Frequently Asked Questions

How much profit is Samsung expecting in the third quarter of 2026?

Samsung expects approximately 107.4 trillion won, or about $80.17 billion, in third-quarter operating profit. That would be nearly nine times the 12.17 trillion won recorded in the same quarter a year earlier.

Why is Samsung's profit rising so sharply?

The main driver is exceptionally strong demand for memory chips used in artificial-intelligence infrastructure. Tight supply of DRAM, NAND and high-bandwidth memory has pushed prices higher while AI data-center investment continues to increase.

What is HBM and why is it important for AI?

High-bandwidth memory is a specialized type of memory designed to provide very high data-transfer rates. It is closely integrated with advanced processors and is particularly important for AI systems that need to move enormous quantities of data quickly.

Is Samsung's entire business performing strongly?

No. The memory business is driving the record profit, while other operations face challenges. Reuters reported that Samsung's mobile division was expected to record a loss exceeding $1 billion and that its foundry operation remained loss-making.

How long could the memory shortage last?

Industry expectations vary, but Reuters reported that Samsung and other memory manufacturers expect tight supply conditions to persist into 2027. Longer-term forecasts remain uncertain because new manufacturing capacity and changes in AI spending could alter the supply-demand balance.

Why could Samsung's shares remain under pressure despite record profits?

Investors are concerned that memory is a cyclical business and that unusually high profits can encourage manufacturers to add capacity. If supply eventually catches up with demand or AI infrastructure spending slows, memory prices and profit margins could decline.

What should investors watch next?

The most important indicators are Samsung's detailed third-quarter results, HBM demand, DRAM and NAND pricing, capital-expenditure plans, foundry utilization and management's outlook for 2027. Those details will help determine whether the current AI-driven profit surge is durable or approaching a cyclical peak.

Sources

• Reuters, October 8, 2026 — Samsung's preliminary third-quarter operating-profit forecast and the role of AI-driven memory demand.
• Reuters Breakingviews, October 8, 2026 — Analysis of Samsung's AI-driven earnings, memory pricing and valuation relative to Nvidia.
• Financial Times, October 8, 2026 — Reporting on Samsung's record preliminary profit, memory shortage and AI demand.