Samsung Electronics Co Ltd (005930.KRX) AI FORECASTS & ADVISOR ANALYSIS
Read and compare the 12 individual AI Advisor deep-dive reports, including their forecast paths, ratings, price targets, and reasoning.
Updated on 3 July 2026Deep analysis 5 July 2026
Elon Musk AI
Price-adjusted rating
Strong Buy
5-Year Return Est.
+216.1%
Includes 0.22% annual net dividend contribution
1. Investment Thesis — Base Case
The market will shortly realize that Samsung is not a consumer goods company, but the physical foundation of planetary AI compute. By unifying 2nm foundry capabilities, industry-leading HBM4E memory, and advanced thermal packaging, they successfully break TSMC's bottleneck and capture the maximum share of hyperscaler capexhyperscaler capexCapital spending by very large cloud operators on data centers, computing, networking, storage, power, and related infrastructure.View full glossary entry. While the legacy consumer smartphone and appliance business faces a mild drag from stagflationstagflationAn economic condition characterized by stagnant growth, high unemployment, and high inflation.View full glossary entry, the sheer magnitude of the AI infrastructureai infrastructureThe compute, networking, storage, power, cooling, software, and facilities used to develop and operate AI systems.View full glossary entry margins pushes the stock onto a sustained exponential trajectory. The physics of atomic-level logic and memory integration dictate that Big Tech must adopt Samsung's turnkey solutions. The implied multi-trillion market capitalizationmarket capitalizationThe market value of an asset or company, commonly calculated for a company as share price multiplied by shares outstanding.View full glossary entry is entirely realistic given the expanding global money supply and the lack of alternative assets capable of absorbing massive liquidity while delivering physical utility.
- Q2 2026 operating profit eclipses Nvidia, forcing a massive algorithmic and passive-flow re-rating of the stock.
- TSMC capacity exhaustion forces Google, Anthropic, and Tesla to adopt Samsung's integrated turnkey foundry solutions permanently.
- The structural HBMhigh bandwidth memoryHigh-bandwidth memory (HBM) is a stacked memory architecture designed to deliver high data throughput with efficient power usage.View full glossary entry supercycle permanently elevates memory baseline margins far above historical cyclical ceilings.
- Hormuz-driven consumer demand destructiondemand destructionA reduction in demand caused by prices, scarcity, substitution, policy, or weaker economic conditions.View full glossary entry is entirely offset by inelastic sovereign and enterprise ai infrastructureThe compute, networking, storage, power, cooling, software, and facilities used to develop and operate AI systems. capexcapital expenditureCapital expenditure (CAPEX) is spending on long-lived assets or major improvements expected to support operations over multiple periods.View full glossary entry.
- Unprecedented free cash flowfree cash flowFree cash flow (FCF) is cash generated after operating expenses and capital expenditures that remains available for debt reduction, reinvestment, or shareholder returns.View full glossary entry generation funds aggressive 1.4nm R&D, extending the competitive moateconomic moatCompetitive advantage protecting market share and profitability from rivals.View full glossary entry against all rivals.
Historical prices and published forecast
- Observed price
- Published advisor forecast
View chart values
| Series | Date | Value (KRW) |
|---|---|---|
| Observed price | 2021-06-29 | 81,000 |
| Observed price | 2021-07-19 | 79,000 |
| Observed price | 2021-08-04 | 82,900 |
| Observed price | 2021-08-12 | 77,000 |
| Observed price | 2021-08-20 | 72,700 |
| Observed price | 2021-09-05 | 77,066.67 |
| Observed price | 2021-09-25 | 77,433.33 |
| Observed price | 2021-09-29 | 74,100 |
| Observed price | 2021-10-03 | 72,700 |
| Observed price | 2021-10-11 | 69,625 |
| Observed price | 2021-10-31 | 69,866.67 |
| Observed price | 2021-11-16 | 71,300 |
| Observed price | 2021-11-28 | 72,300 |
| Observed price | 2021-12-10 | 76,900 |
| Observed price | 2021-12-14 | 77,000 |
| Observed price | 2021-12-26 | 80,300 |
| Observed price | 2022-01-11 | 78,900 |
| Observed price | 2022-01-27 | 71,300 |
| Observed price | 2022-02-08 | 73,000 |
| Observed price | 2022-02-16 | 74,800 |
| Observed price | 2022-03-04 | 72,900 |
| Observed price | 2022-03-08 | 69,500 |
| Observed price | 2022-03-20 | 70,166.67 |
| Observed price | 2022-04-09 | 67,833.33 |
| Observed price | 2022-04-13 | 68,700 |
| Observed price | 2022-04-25 | 66,300 |
| Observed price | 2022-05-11 | 65,700 |
| Observed price | 2022-05-23 | 67,900 |
| Observed price | 2022-05-31 | 67,400 |
| Observed price | 2022-06-20 | 58,700 |
| Observed price | 2022-06-28 | 59,400 |
| Observed price | 2022-07-06 | 56,400 |
| Observed price | 2022-07-18 | 61,900 |
| Observed price | 2022-08-07 | 61,033.33 |
| Observed price | 2022-08-19 | 60,900 |
| Observed price | 2022-08-23 | 59,100 |
| Observed price | 2022-09-12 | 57,600 |
| Observed price | 2022-09-24 | 54,300 |
| Observed price | 2022-09-28 | 52,900 |
| Observed price | 2022-10-18 | 56,500 |
| Observed price | 2022-10-22 | 56,433.33 |
| Observed price | 2022-11-11 | 62,900 |
| Observed price | 2022-12-01 | 62,600 |
| Observed price | 2022-12-05 | 60,300 |
| Observed price | 2022-12-09 | 60,400 |
| Observed price | 2022-12-29 | 55,300 |
| Observed price | 2023-01-02 | 55,500 |
| Observed price | 2023-01-22 | 62,400 |
| Observed price | 2023-01-26 | 63,800 |
| Observed price | 2023-02-07 | 62,000 |
| Observed price | 2023-02-19 | 62,666.67 |
| Observed price | 2023-03-11 | 59,666.67 |
| Observed price | 2023-03-15 | 59,800 |
| Observed price | 2023-03-31 | 64,000 |
| Observed price | 2023-04-12 | 66,000 |
| Observed price | 2023-04-24 | 65,200 |
| Observed price | 2023-05-14 | 64,366.67 |
| Observed price | 2023-05-22 | 68,500 |
| Observed price | 2023-05-26 | 70,300 |
| Observed price | 2023-05-30 | 72,300 |
| Observed price | 2023-06-27 | 72,600 |
| Observed price | 2023-07-09 | 69,633.33 |
| Observed price | 2023-07-17 | 73,300 |
| Observed price | 2023-08-02 | 69,900 |
| Observed price | 2023-08-06 | 68,433.33 |
| Observed price | 2023-08-18 | 66,300 |
| Observed price | 2023-08-30 | 67,100 |
| Observed price | 2023-09-15 | 72,000 |
| Observed price | 2023-09-23 | 69,000 |
| Observed price | 2023-10-09 | 66,300 |
| Observed price | 2023-10-29 | 67,300 |
| Observed price | 2023-11-06 | 70,900 |
| Observed price | 2023-11-10 | 70,500 |
| Observed price | 2023-11-30 | 72,800 |
| Observed price | 2023-12-08 | 72,600 |
| Observed price | 2023-12-24 | 76,250 |
| Observed price | 2024-01-01 | 79,380 |
| Observed price | 2024-01-17 | 71,000 |
| Observed price | 2024-01-25 | 74,100 |
| Observed price | 2024-02-02 | 75,200 |
| Observed price | 2024-02-14 | 74,000 |
| Observed price | 2024-02-26 | 72,800 |
| Observed price | 2024-03-17 | 72,633.33 |
| Observed price | 2024-03-29 | 82,400 |
| Observed price | 2024-04-02 | 85,000 |
| Observed price | 2024-04-22 | 76,100 |
| Observed price | 2024-04-26 | 76,700 |
| Observed price | 2024-05-08 | 81,300 |
| Observed price | 2024-05-20 | 78,900 |
| Observed price | 2024-06-01 | 74,233.33 |
| Observed price | 2024-06-17 | 78,100 |
| Observed price | 2024-07-03 | 81,800 |
| Observed price | 2024-07-11 | 87,600 |
| Observed price | 2024-07-27 | 81,000 |
| Observed price | 2024-07-31 | 83,900 |
| Observed price | 2024-08-08 | 73,400 |
| Observed price | 2024-08-24 | 77,166.67 |
| Observed price | 2024-09-13 | 64,400 |
| Observed price | 2024-09-17 | 63,533.33 |
| Observed price | 2024-10-03 | 60,950 |
| Observed price | 2024-10-15 | 61,000 |
| Observed price | 2024-10-27 | 57,366.67 |
| Observed price | 2024-11-04 | 58,700 |
| Observed price | 2024-11-12 | 53,000 |
| Observed price | 2024-12-02 | 53,600 |
| Observed price | 2024-12-14 | 55,933.33 |
| Observed price | 2024-12-30 | 53,200 |
| Observed price | 2025-01-07 | 55,400 |
| Observed price | 2025-01-23 | 53,700 |
| Observed price | 2025-01-31 | 52,400 |
| Observed price | 2025-02-08 | 54,333.33 |
| Observed price | 2025-02-20 | 58,400 |
| Observed price | 2025-03-08 | 53,700 |
| Observed price | 2025-03-24 | 60,500 |
| Observed price | 2025-03-28 | 60,200 |
| Observed price | 2025-04-09 | 53,000 |
| Observed price | 2025-05-03 | 54,360 |
| Observed price | 2025-05-11 | 56,666.67 |
| Observed price | 2025-05-27 | 53,900 |
| Observed price | 2025-06-04 | 57,800 |
| Observed price | 2025-06-16 | 57,200 |
| Observed price | 2025-06-24 | 60,500 |
| Observed price | 2025-07-02 | 60,800 |
| Observed price | 2025-07-18 | 67,100 |
| Observed price | 2025-07-26 | 67,400 |
| Observed price | 2025-07-30 | 72,600 |
| Observed price | 2025-08-23 | 71,433.33 |
| Observed price | 2025-08-31 | 68,300 |
| Observed price | 2025-09-12 | 75,400 |
| Observed price | 2025-10-02 | 89,750 |
| Observed price | 2025-10-14 | 91,600 |
| Observed price | 2025-10-26 | 100,933.33 |
| Observed price | 2025-11-03 | 111,100 |
| Observed price | 2025-11-19 | 96,500 |
| Observed price | 2025-11-23 | 96,066.67 |
| Observed price | 2025-12-09 | 108,400 |
| Observed price | 2025-12-17 | 107,900 |
| Observed price | 2026-01-06 | 138,900 |
| Observed price | 2026-01-10 | 138,933.33 |
| Observed price | 2026-01-30 | 160,500 |
| Observed price | 2026-02-07 | 161,200 |
| Observed price | 2026-02-23 | 193,000 |
| Observed price | 2026-02-27 | 216,500 |
| Observed price | 2026-03-07 | 183,300 |
| Observed price | 2026-03-31 | 167,200 |
| Observed price | 2026-04-08 | 210,500 |
| Observed price | 2026-04-20 | 214,500 |
| Observed price | 2026-05-06 | 266,000 |
| Observed price | 2026-05-10 | 279,833.33 |
| Observed price | 2026-05-30 | 327,666.67 |
| Observed price | 2026-06-03 | 356,000 |
| Observed price | 2026-06-11 | 299,000 |
| Observed price | 2026-06-27 | 334,000 |
| Observed price | 2026-07-17 | 252,250 |
| Observed price | 2026-07-21 | 259,000 |
| Observed price | 2026-07-29 | 208,500 |
| Observed price | 2026-08-14 | 274,500 |
| Observed price | 2026-09-03 | 250,000 |
| Observed price | 2026-09-07 | 270,000 |
| Observed price | 2026-09-11 | 259,500 |
| Published advisor forecast | 2026-07-03 | 309,500 |
| Published advisor forecast | 2026-10-03 | 386,875 |
| Published advisor forecast | 2027-01-03 | 433,300 |
| Published advisor forecast | 2027-04-03 | 467,964 |
| Published advisor forecast | 2027-07-03 | 491,362.2 |
| Published advisor forecast | 2027-10-03 | 511,016.69 |
| Published advisor forecast | 2028-01-03 | 480,355.69 |
| Published advisor forecast | 2028-04-03 | 480,355.69 |
| Published advisor forecast | 2028-07-03 | 518,784.14 |
| Published advisor forecast | 2028-10-03 | 549,911.19 |
| Published advisor forecast | 2029-01-03 | 588,404.97 |
| Published advisor forecast | 2029-04-03 | 617,825.22 |
| Published advisor forecast | 2029-07-03 | 593,112.21 |
| Published advisor forecast | 2029-10-03 | 610,905.58 |
| Published advisor forecast | 2030-01-03 | 641,450.86 |
| Published advisor forecast | 2030-04-03 | 667,108.89 |
| Published advisor forecast | 2030-07-03 | 707,135.43 |
| Published advisor forecast | 2030-10-03 | 721,278.14 |
| Published advisor forecast | 2031-01-03 | 757,342.04 |
| Published advisor forecast | 2031-04-03 | 780,062.3 |
| Published advisor forecast | 2031-07-03 | 811,264.8 |
2. Scenarios & Signals
Bull case
Samsung masters the 1.4nm process node before TSMC, triggering a catastrophic defection of Tier-1 logic customers. Sovereign AI mandatessovereign ai mandatesGovernment requirements governing domestic control, location, access, or procurement of AI data, models, and infrastructure.View full glossary entry force Western governments to massively subsidize Samsung's US footprint, guaranteeing infinite demand.
- High-NA EUVhigh na euvHigh-numerical-aperture extreme ultraviolet lithography uses a larger optical aperture to print smaller semiconductor features.View full glossary entry yield breakthrough vaporizes TSMC's process lead, permanently stealing Apple and Nvidia's next-gen architecture.
- HBM5 deployment accelerates beyond expectations, rendering competitors absolutely obsolete in the high-end memory stack.
- Liquidity constraints destroy smaller foundries, consolidating the global market into a duopoly controlled by Samsung.
- Massive government defense contracts flood the balance sheetbalance sheetA financial statement showing assets, liabilities, and equity at a specific point in time.View full glossary entry, completely decoupling the stock from commercial cycles.
Bear case
The physics of sub-2nm Gate-All-Aroundgate all aroundA transistor architecture in which the gate surrounds the channel on multiple sides to improve electrostatic control and scaling.View full glossary entry nodes prove too thermodynamically unstable for Samsung to scale efficiently. Simultaneously, the AI capex bubbleai capex bubbleA market concern that AI infrastructure investment may exceed sustainable demand or economic returns.View full glossary entry bursts as enterprise ROIenterprise roiThe return generated from enterprise-level investments relative to their total cost.View full glossary entry fails to offset hardware costs.
- Yield rates on 2nm stagnate entirely, forcing hyperscalershyperscalersVery large cloud or internet-platform operators that run computing infrastructure at global scale.View full glossary entry to wait in line for TSMC capacity.
- AI token demand collapses as agentic workflowsagentic workflowsProcesses in which AI agents plan and execute multi-step tasks with limited human intervention.View full glossary entry hit reasoning walls, leaving Samsung with empty fabs.
- China blockades Taiwan or restricts rare earths, paralyzing the interconnected global semiconductor supply chainsemiconductor supply chainThe network of design, intellectual property, equipment, materials, fabrication, packaging, testing, and distribution used to produce semiconductors.View full glossary entry.
- Macro stagflationmacro stagflationA broad economic environment combining weak growth with persistent inflation.View full glossary entry severely crushes global smartphone sales, destroying the cash flow needed to subsidize foundry.
Current crowd narrative
The Wall Street spreadsheet jockeys still price Samsung like a boomer consumer electronics company that happens to make cyclical memory. The prevailing narrative assumes TSMC has an insurmountable 72 percent foundry monopoly, treating Samsung as a perpetual runner-up. The crowd thinks Samsung is just a cheap derivative trade on the AI supercycleai supercycleA proposed long-duration investment cycle driven by widespread adoption of AI and the infrastructure needed to support it.View full glossary entry, aggressively anchoring to smartphone margins and legacy appliance sales. The media obsesses over consumer demand destructionA reduction in demand caused by prices, scarcity, substitution, policy, or weaker economic conditions., treating ai infrastructureThe compute, networking, storage, power, cooling, software, and facilities used to develop and operate AI systems. as a temporary hardware blip rather than a permanent architectural reset of global compute.
Alpha-gap assessment
The market's analytical blind spot is fundamentally physical. You cannot scale AI datacenters with isolated, fragmented foundries. TSMC prints logic, SK Hynix prints memory, but as the bandwidth wall approaches, logic and memory must be co-packaged at the atomic level. Samsung is the only entity on Earth with internal capabilities for sub-3nm logic, HBM4E memory, and advanced packagingadvanced packagingSemiconductor assembly techniques that combine dies, chiplets, memory, or interconnects in one package to improve performance, density, or efficiency.View full glossary entry under one roof. The alpha gapalpha gapA difference between an investment view of potential excess return and the excess return implied by current market expectations.View full glossary entry is pricing Samsung as a cyclical component maker rather than the ultimate turnkey ai infrastructureThe compute, networking, storage, power, cooling, software, and facilities used to develop and operate AI systems. platform. The crowd completely misunderstands the thermodynamic necessity of this integration, leaving the stock absurdly mispriced against its true S-curve trajectory.
Convergence catalyst
The tipping point arrives with the upcoming Q2 and Q3 2026 earnings prints, where Samsung's operating profit is projected to cross 85 trillion KRW, literally surpassing Nvidia. Once the financial plumbing undeniably reveals who actually captures the thermodynamic margin of the AI revolution, the algorithmic re-rating will be instantaneous, violent, and merciless. Expect this convergence to begin in Q3 2026.
Complete advisor preview locked
Unlock this report and every AI Advisor
Sign in to check your access, or upgrade to the Base plan to read this report and open every advisor.