Business
Samsung’s Dual Challenge: Foldables Face Android Onslaught as Chip Business Navigates AI Boom and Foundry Woes

Samsung Electronics (005930.KS) finds itself at a pivotal juncture, navigating intense competition and dynamic market shifts across its crucial mobile and semiconductor divisions. The recent launch of its highly anticipated Galaxy Z Fold 7 is poised to test the company’s innovation prowess in the burgeoning foldable smartphone segment, while its dominant semiconductor business grapples with a rebound in memory prices alongside significant challenges in its foundry operations and fierce rivalry in high-bandwidth memory (HBM).
As the global technology landscape continues to evolve, Samsung’s ability to capitalize on the growing demand for AI-driven devices and maintain its leadership in core markets will be critical. Investors and industry observers are closely watching how the South Korean giant strategizes to fend off intensifying competition in the Android ecosystem and overcome manufacturing hurdles in its advanced chipmaking processes, all of which will profoundly impact its stock performance and long-term trajectory.
Galaxy Z Fold 7 Arrives Amidst a Shifting Semiconductor Landscape
The technology world recently witnessed the unveiling of Samsung’s latest foldable flagship, the Galaxy Z Fold 7, launched in July 2025. This highly anticipated device represents Samsung’s continued commitment to innovating within the premium smartphone market, aiming to solidify its leadership in the foldable segment where it currently commands a substantial 62% market share. The Z Fold 7 introduces a slimmer, lighter design, an expanded cover screen, an 8-inch main display, and integrates advanced Galaxy AI features powered by a customized Snapdragon 8 Elite chip. This launch is critical as Samsung seeks to differentiate itself in an increasingly crowded Android market, where rivals are aggressively adopting AI and pushing innovative form factors.
Simultaneously, Samsung’s colossal semiconductor division is undergoing a significant transformation. After a challenging period, the Device Solutions (DS) division returned to profitability in Q1 2025, primarily driven by a robust rebound in memory chip prices and surging demand for AI-specific memory solutions. In 2024, Samsung reclaimed its position as the world’s top semiconductor supplier by revenue. This resurgence is vital, as the semiconductor business alone contributed nearly half of Samsung’s total revenue in 2024. The company’s strategic pivot towards high-value memory products, particularly those catering to AI infrastructure, has been a key catalyst in this recovery.
However, the path forward is not without its obstacles. While memory sales are strong, Samsung’s foundry segment faces an uphill battle. Its market share in chip manufacturing declined from 9.1% in Q4 2024 to 7.7% in Q1 2025, widening the gap with industry leader TSMC (67.6% in Q1 2025). This decline is attributed to lower-than-expected yield rates for its cutting-edge 3nm and 2nm processes, leading to a loss of orders from major clients. Compounding this, Samsung is locked in an intense rivalry with SK Hynix (000660.KS) in the high-bandwidth memory (HBM) market, crucial for powering AI servers. SK Hynix surpassed Samsung in DRAM market share in Q1 2025, largely due to its dominance in HBM chips. Samsung is actively working to improve its 2nm process yields and is striving to secure supply deals for its HBM chips with key AI players like Nvidia (NVDA).
Winners and Losers in the Tech Tug-of-War
The current market dynamics present a mixed bag of opportunities and challenges for various players within the tech ecosystem, with Samsung Electronics (005930.KS) at the epicenter. On the winning side, Samsung itself stands to benefit significantly from the successful market reception of the Galaxy Z Fold 7. Increased production plans for the device signal strong internal confidence, and if the device resonates with consumers, it will reinforce Samsung’s premium brand image and innovative edge in the foldable segment. Furthermore, the robust rebound in its memory chip business, particularly for DRAM and NAND, driven by AI demand, is a major positive, directly boosting its Device Solutions division’s profitability. Its ability to secure a substantial chip manufacturing contract (2025-2033) despite foundry challenges also indicates long-term confidence from some clients.
However, Samsung faces considerable pressure. In the semiconductor arena, TSMC (TSM) continues to consolidate its position as the undisputed leader in advanced foundry services. Samsung’s struggles with 3nm and 2nm yield rates directly translate into market share gains for TSMC, which boasts superior manufacturing capabilities and a more established client base for cutting-edge nodes. In the critical High-Bandwidth Memory (HBM) market, SK Hynix (000660.KS) has emerged as a clear winner, taking the lead in DRAM market share thanks to its early dominance in HBM chips for AI applications. This puts Samsung in a challenging position, as it plays catch-up to secure its share of the burgeoning HBM market, an essential component for the AI revolution.
On the mobile front, while Samsung leads, the intensifying Android competition means other players are vying for market share. Xiaomi (1810.HK), Vivo, Transsion, and Oppo continue to capture significant portions of the global smartphone market, particularly in developing regions. These companies often offer compelling devices at competitive price points, putting pressure on Samsung’s overall volume share. Even in the premium segment, Google (GOOGL) with its Pixel line, and especially the rumored entry of Apple (AAPL) into the foldable market, could pose a substantial threat to Samsung’s early mover advantage and market dominance in foldables. If Apple enters, it could fundamentally shift consumer perceptions and demand within the high-end foldable segment, creating a new and formidable rival for Samsung.
Industry Impact and Broader Implications
Samsung’s current trajectory, marked by innovation in mobile and a recovering but complex semiconductor business, reflects and amplifies several broader industry trends. The most prominent is the pervasive influence of Artificial Intelligence (AI) across all segments of technology. The surge in demand for AI-capable devices and high-bandwidth memory chips is a primary driver for Samsung’s semiconductor recovery and informs its mobile strategy with features like Galaxy AI. This trend indicates a fundamental shift in computing, where processing power and specialized memory for AI will be key differentiators. Competitors are rapidly integrating AI, suggesting that future device success will heavily rely on seamless, powerful AI capabilities, pushing innovation cycles further.
This event also highlights the increasing premiumization of the smartphone market, particularly the rise of foldable devices. Samsung’s continued investment in the Galaxy Z Fold series demonstrates confidence in this niche, which is projected for accelerated growth. However, this premiumization also intensifies competition at the high end. The rumored entry of Apple into the foldable market would not only validate the segment but also profoundly reshape its competitive landscape, forcing all players, including Samsung, to innovate more aggressively to maintain market share and pricing power. The push for thinner, lighter designs, larger screens, and integrated AI features underscores the battle for differentiation in a mature smartphone market.
From a semiconductor perspective, the challenges faced by Samsung’s foundry business underscore the immense technical complexity and capital intensity of leading-edge chip manufacturing. The struggles with 3nm and 2nm yield rates are not isolated to Samsung; they represent the hurdles all foundries face in pushing the boundaries of Moore’s Law. This situation reinforces TSMC’s formidable lead and suggests that achieving parity in advanced nodes will require sustained, massive investment and engineering breakthroughs. Furthermore, the HBM rivalry between Samsung and SK Hynix reveals a critical bottleneck in the AI supply chain. Whichever company can consistently deliver high-yield, high-performance HBM chips will gain a significant strategic advantage in supplying the burgeoning AI server market, potentially influencing the pace of AI development globally. Regulatory or policy implications could arise if one or two players gain too much dominance in these critical component markets, prompting governments to consider strategies for supply chain diversification. Historically, similar battles for technological supremacy, such as the DRAM wars of the 1980s and 90s, have often led to consolidation and shifts in global economic power.
What Comes Next
Looking ahead, Samsung Electronics (005930.KS) faces a dynamic period that will require strategic agility and flawless execution across its diverse business units. In the short term, the market’s reception of the Galaxy Z Fold 7 will be crucial. A strong sales performance could provide immediate uplift to its mobile division and reinforce investor confidence in its premium segment strategy. The company is already rumored to be considering a “wide-type” foldable in 2026, possibly in anticipation of Apple’s entry, indicating an ongoing commitment to evolving its foldable lineup. Simultaneously, Samsung’s semiconductor division must demonstrate continued improvement in its memory business, especially by increasing its share and yield in the critical HBM market, potentially through securing supply deals with major AI chip designers like Nvidia (NVDA). Efforts to improve 2nm process yield, targeting 60% by late 2025, are paramount for regaining foundry credibility and attracting lost orders.
In the long term, Samsung’s success hinges on its ability to leverage its unique strengths across its vast ecosystem. This includes seamless integration of its semiconductor, display, and mobile divisions to create truly differentiated products. Strategic pivots might include further vertical integration to control more of the AI supply chain, from chip design and manufacturing to device-level AI implementation. There are significant market opportunities in the broader semiconductor market, which is projected for robust growth of over 11% in 2025 and 8.5% in 2026, driven by AI, cloud, and advanced consumer electronics. However, challenges persist, particularly in overcoming the foundry yield issues and maintaining competitiveness against SK Hynix (000660.KS) in HBM. Potential scenarios include Samsung either solidifying its position as a holistic tech leader through integrated innovation or facing continued pressure in specific component markets if its manufacturing hurdles persist.
The strategic importance of AI cannot be overstated. Samsung will need to continue investing heavily in AI research and development, not just for its Galaxy AI features but also for its semiconductor design and manufacturing processes. Collaborative efforts with ecosystem partners, including software developers and other hardware manufacturers, will also be key to building a robust AI platform that can compete with rival offerings. The company’s ability to adapt its supply chain, secure critical materials, and navigate geopolitical complexities will also play a significant role in its future trajectory.
A Comprehensive Wrap-Up
Samsung Electronics finds itself at a defining moment, balancing the promise of its innovative mobile devices with the formidable challenges and opportunities within its core semiconductor business. The launch of the Galaxy Z Fold 7 underscores the company’s commitment to leading the premium, foldable smartphone segment, offering a beacon of innovation in an otherwise maturing market. However, this push for mobile differentiation occurs against a backdrop of aggressive competition in the Android ecosystem, where every major player is now vying for market share with increasingly sophisticated, AI-enhanced devices.
The true lynchpin of Samsung’s future performance lies within its semiconductor division. While the memory business is experiencing a significant and welcome rebound, fueled by insatiable demand for AI-related chips, its foundry operations face an uphill battle. Yield rate issues for advanced nodes present a critical obstacle to regaining market share from industry behemoth TSMC (TSM). Simultaneously, the fierce rivalry with SK Hynix (000660.KS) in the high-bandwidth memory (HBM) market highlights a critical arena where leadership will determine who powers the next generation of AI.
Moving forward, investors should closely monitor several key indicators. The sales performance and market reception of the Galaxy Z Fold 7 and subsequent foldable iterations will signal the strength of Samsung’s mobile innovation. More importantly, the company’s progress in improving foundry yield rates for 3nm and 2nm processes, along with its ability to secure substantial HBM supply contracts, will be crucial. These semiconductor milestones will directly impact its profitability and long-term standing in the global tech hierarchy. Samsung’s ability to synergize its hardware prowess with cutting-edge AI software and overcome manufacturing hurdles will ultimately determine its sustained leadership and lasting impact on the market in the coming months and years.
Business
OpenAI nonprofit gains $100B stake while retaining control of AI company

NVIDIA CEO and co-founder Jensen Huang commends President Donald Trump’s A.I. agenda and outlines what the country’s job future will look like on ‘Special Report.’
Artificial intelligence giant OpenAI on Thursday announced its nonprofit parent will retain control of the company while also gaining an equity stake worth more than $100 billion.
The move will allow OpenAI to raise new capital while also making its nonprofit parent company “one of the most well-resourced philanthropic organizations in the world,” according to Bret Taylor, chairman of OpenAI’s board.
OPENAI TEAMS UP WITH WALMART TO TRAIN MILLIONS OF WORKERS IN ARTIFICIAL INTELLIGENCE
“This recapitalization would also enable us to raise the capital required to accomplish our mission — and ensure that as OpenAI’s [public benefit corporation] grows, so will the nonprofit’s resources, allowing us to bring it to historic levels of community impact,” Taylor said in a statement.
In this photo illustration, the OpenAI logo is seen displayed on a smartphone screen. (Thomas Fuller/SOPA Images/LightRocket via Getty Images / Getty Images)
OpenAI and Microsoft also said in a joint statement on Thursday that they signed a non-binding memorandum of understanding (MOU) to shape their next phase of partnership and are actively working to finalize a definitive deal. The companies said they are focused on building “the best” artificial intelligence tools that are also safe.
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“OpenAI and Microsoft have signed a non-binding memorandum of understanding (MOU) for the next phase of our partnership,” the two companies said in a joint statement Thursday afternoon. “We are actively working to finalize contractual terms in a definitive agreement. Together, we remain focused on delivering the best AI tools for everyone, grounded in our shared commitment to safety.”

The Microsoft headquarters campus in Redmond, Washington. (iStock / iStock)
Microsoft has reportedly invested around $13 billion in the ChatGPT creator since 2019.
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In May, OpenAI announced it was scuttling its plan to move the company away from a nonprofit structure to becoming a for-profit company. The ChatGPT-maker created a for-profit limited liability company (LLC), which it converted into a public benefit corporation that considers the interests of shareholders as well as OpenAI’s mission. The tech giant announced at the time that OpenAI’s nonprofit would have operational control over the public benefit corporation and would be a large shareholder in it.

Sam Altman, co-founder and CEO of OpenAI, speaks during a panel discussion titled “The Age of AI” at the Technical University of Berlin on February 07, 2025, in Berlin, Germany. (Sean Gallup/Getty Images / Getty Images)
OpenAI CEO Sam Altman, who prompted the company’s exploration of moving to a for-profit structure to make it easier for the company to raise the large amounts of money for investments he thinks will be needed to achieve artificial general intelligence (AGI), sent a letter to employees at the time explaining the decision and what it means for the company.
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“OpenAI was founded as a nonprofit, is today a nonprofit that oversees and controls the for-profit, and going forward will remain a nonprofit that oversees and controls the for-profit. That will not change,” Altman wrote in May.
FOX Business’ Eric Revell contributed to this report.
Business
Microsoft to Spend Heavily on Own Chip Cluster for in-House AI Models

Microsoft is planning to make “significant investments” in its own AI chip cluster to become “self-sufficient in AI,” Microsoft AI CEO Mustafa Suleyman said during an all-employee town hall meeting on Thursday.
Microsoft’s AI strategy has so far largely relied on a partnership with OpenAI, although the companies appear to be drifting apart lately and they’re locked in tense contract renegotiations right now.
Suleyman’s comments suggest Microsoft wants to forge its own path in AI, while still supporting OpenAI with cloud-computing services.
“It’s critical that a company of our size, with the diversity of businesses that we have, that we are, you know, able to be self sufficient in AI, if we choose to,” Suleyman said.
Instead of relying solely on OpenAI, Microsoft is using open-source models, partnering with other AI developers, and building its own models, Suleyman said.
The software giant unveiled MAI-1-preview in late August. This is Microsoft AI’s first foundation model trained end-to-end by the company, and offers a glimpse of future offerings inside its Copilot service. This model ranks 24th among text models on LMArena, a widely followed leaderboard, so Microsoft has a lot of work to do still.
“We should have the capacity to build world class frontier models in-house of all sizes, but we should be very pragmatic and use other models where we need to,” Suleyman said.
Microsoft plans to make “significant” investments in its own AI chip cluster to help the company build its own models, he added.
Suleyman noted that MAI-1-preview was only trained on 15,000 Nvidia H100s, which he said was a “tiny cluster” in the grand scheme of things. Competing models from Google, Meta, and xAI were all trained on clusters that were six to 10 times larger in size, Suleyman said.
Microsoft has significantly benefited from its arrangement to access OpenAI’s intellectual property, both by selling it to customers through the Azure OpenAI service and creating its own products using OpenAI’s technology, like its AI assistant Copilot. Those terms are under renegotiation now that OpenAI needs Microsoft’s blessing for a corporate restructuring.
Microsoft CEO Satya Nadella during the town hall reassured employees that the company still benefits from the partnership.
“We have a very good partnership with OpenAI. We’re very excited to continue to work with them, support them. Remember, OpenAI supplies to us. We supply to them. So they’re each other’s customers. We have a commercial partnership. We are investors,” Nadella said. “And at the same time, we were very clear that we also want to build our own capabilities.”
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Business
Spain’s digital business school ISDI & Microsoft bet on AI in executive MBAs •

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At a time when artificial intelligence (AI) is redefining work, ISDI, Spain’s digital business school, and Microsoft have formed an alliance to incorporate the real-world use of generative AI into executive training.
According to Microsoft’s Workplace Trends Report, 50% of executives in countries like Spain believe that training their teams in the use of AI will be key in the next five years.
For this reason, ISDI says it is seeking to connect theory and practice in an academic environment that adapts to the challenges of digital transformation.
Microsoft, for its part, brings its technological expertise so that artificial intelligence becomes a tangible, competitive resource for MBA grads.
“We want to train complete professionals, capable of leading business transformation in a context marked by AI,” said Basola Vallés, Executive Director of ISDI, through a press release.
The business school has faculty and alumni from around the world, including Latin America, and has an international campus in Mexico.
Creating AI Agents
The module, titled Crea tu Agente IA (Create your AI Agent), unfolds over five milestones in the master’s degree: from agent activation in Microsoft’s Copilot Studio, to application in real projects, simulation of strategic scenarios and career development.
Upon completion, each participant will have a trained and operational AI agent ready to accompany the student beyond the classroom. This practical approach contrasts with theory-focused programs by integrating AI into the day-to-day work life.

With this initiative, the Executive MBA in Business and Technology (MIB) is positioned as the first Executive MBA in Spain to structurally integrate business, technology, artificial intelligence and human development, according to the university.
Paco Salcedo, president of Microsoft Spain, added: “Our technology is designed for students to turn AI into a real advantage for their organizations”.
The proposal is reinforced with a project linked to business challenges and with an employability component.
A study by LinkedIn and Microsoft reveals that professionals who mention AI in their profiles are 17% more likely to be considered in selection processes.
The impact of the program has already been recognized by several media, which places it amongst the most influential executive master’s programs in Spain.
MIB graduates record an average salary increase of 38% in the year after graduation and 70% job mobility, according to figures shared with Contxto that reflect how the combination of business, technology and now generative AI can transform a career path.
According to a report published by Intel and analyst firm IDC, just 14% of Latin American companies have adopted AI agents in their work processes, putting the region in need of adapting to today’s challenges.
This trend of MBA programs that prioritize the use of generative AI could help to motivate future business leaders in the region and will hopefully boost the adoption figures of this technology in the coming years.
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