By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel agrees that the $500B SK Hynix deal is not immediate revenue but long-term optionality, with significant execution, geopolitical, and regulatory risks. The 2GW power buildout may face delays due to grid constraints and could still result in oversupply and margin compression.
Risk: Oversupply of HBM and potential margin compression due to demand softening or geopolitical risks.
Opportunity: Long-term supply chain advantages for Nvidia and potential state subsidies for Korean chaebols.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
South Korean President Lee Jae Myung flew to San Francisco on July 24 for a summit with the most powerful names in artificial intelligence. Jensen Huang was there. Sam Altman was there. The heads of Samsung, SK Group, Hyundai Motor and Naver flew in. By the end of the day, roughly $950 billion in new AI agreements had been signed, and South Korea had positioned itself as the country most central to the next phase of the buildout.
Nvidia (NVDA) is not slowing down its global hunt for AI infrastructure partners. The chipmaker has spent much of 2026 signing deals across Asia, the Middle East and Europe to secure the chips, memory and power it needs to keep building AI systems.
On July 24, that hunt landed squarely on South Korea, with a cluster of new agreements announced within hours of each other.
Nvidia, SK Hynix seal $500 billion memory deal
Nvidia said on July 24 that it has locked down AI memory supply from SK Hynix, South Korea's second most valuable company, CNBC reported. The agreement, unveiled late that evening in San Francisco, could be worth $500 billion over a number of years, and it includes large-scale data centers expected to come online in 2027.
SK Hynix affiliate SK Telecom will build a cloud business using Nvidia's Vera Rubin systems as part of the deal.
Nvidia said it is targeting enough capacity to require 2 gigawatts of power, a figure that points to a buildout involving hundreds of thousands of graphics processing units working together.
"The expansion will include a co-develop opportunity for us on the next-generation SK Hynix AI memory, and this will help us secure a stable supply of HBM memory," Raj Mirpuri, Nvidia's enterprise vice president, told reporters on a call. High bandwidth memory, known as HBM, sits directly next to AI chips and feeds them data fast enough to keep expensive processors from sitting idle.
SK Hynix (SKHY) has built its recent momentum on exactly that product. The company ranked first globally in HBM revenue with a 56.4% share in the first quarter of 2026. Its Nasdaq debut showed first-quarter revenue reaching 52.58 trillion won, roughly $34.5 billion, up 198% from a year earlier, with the stock now trading under the ticker SKHY, as TheStreet reported.
Samsung, Broadcom ink separate $200 billion pact
A second, unrelated deal landed the same day. Samsung Electronics said it signed a memorandum of understanding with chip designer Broadcom to expand their collaboration across memory and foundry technologies. The agreement, worth an estimated $200 billion, is meant to help support the next generation of AI infrastructure, Reuters reported.
The timing is notable given Broadcom's growing footprint inside the AI supply chain. The company already builds custom silicon for Google's TPU program. Adding Samsung's memory and foundry capacity gives Broadcom another lever to pull as demand for custom AI silicon keeps climbing.
For Samsung, the deal is part of a broader push to close the gap with SK Hynix in HBM production while also rebuilding its contract manufacturing business. Samsung has also been courting AI labs directly, following a pattern in which memory makers are moving beyond simply supplying parts and into designing the systems that use them.
Naver, Hyundai deals widen Korea's AI reach
Nvidia's South Korea push was not limited to memory chips. The company said on July 24 it would invest $1 billion into Naver, a Korean cloud company building data centers around Nvidia's GPUs, with the project intended to triple the facility size and provide 200 megawatts of AI computing capacity.
Nvidia chief executive Jensen Huang told the gathering that the SK Group partnerships alone represented more than $500 billion in combined business, though he did not detail how that figure was calculated, according to the Korea Herald.
"The SK Group and I are announcing today that our two companies will enter into business partnerships that will represent over $500 billion of business together," Huang said during a meeting with President Lee in San Francisco.
Huang also said Nvidia would work with Hyundai Motor Group on autonomous vehicles and robotic systems, extending the day's announcements beyond data centers and semiconductors into transportation.
The comments suggest Nvidia is treating South Korea as a testing ground for AI applications well outside its traditional chip business.
The deals mark a shift in how AI infrastructure gets financed. What used to be the province of a handful of U.S. hyperscalers now involves foreign governments and industrial conglomerates writing checks at a similar scale.
What the deals mean for chip investors
The memory market that underpins all of these deals remains a three-way race.
Samsung Electronics leads with a 38% share of the broader DRAM market, followed by SK Hynix at 29% and Micron at 22%, according to Counterpoint Research data cited in a recent fund manager interview, as TheStreet reported.
Every one of those three now has direct exposure to Nvidia's expanding supply chain.
Analysts have been warning for months that memory demand is outpacing supply, and the announcements on July 24 only add to that pressure. BofA has pointed to the same dynamic as a reason memory prices could climb across DRAM, NAND and HBM products alike.
For U.S. investors without direct access to Samsung shares, SK Hynix's new Nasdaq listing and Micron remain the two clearest ways to track the trade. Both are now tied more tightly than ever to decisions being made inside Nvidia's San Francisco headquarters.
Four leading AI models discuss this article
"The announced partnerships secure supply but do not yet prove sustainably higher end-demand, leaving NVDA exposed to memory-cycle downside that the article underplays."
The article's $950B headline figure is eye-popping but aggregates multi-year, non-binding MOUs and aspirational SK Group commitments rather than firm near-term revenue. Nvidia (NVDA) is clearly locking in HBM supply (SK Hynix 56% share) and 2GW of future capacity ahead of Rubin, which should support continued GPU pricing power through 2027-28. However, the piece glosses over execution risk on gigawatt-scale power procurement in Korea, potential HBM oversupply if multiple memory vendors ramp simultaneously, and Samsung's persistent yield issues versus SK Hynix. Memory spot prices have already run hard; any demand slippage from hyperscalers could trigger a sharp inventory correction.
If these deals are mostly forward-looking capacity reservations rather than incremental demand, they risk accelerating the very HBM oversupply analysts already fear for 2027, potentially crushing memory margins and removing the tailwind that has justified NVDA's premium valuation.
"Nvidia is successfully shifting from a chip vendor to a global infrastructure architect, effectively de-risking their supply chain while creating high barriers to entry for competitors."
The $500 billion valuation for the SK Hynix deal is likely a gross total contract value (TCV) spread over many years, not an immediate capital expenditure, which investors must distinguish from realized revenue. While these partnerships solidify Nvidia's (NVDA) supply chain moat, they also signal a pivot toward 'sovereign AI' infrastructure, where Nvidia effectively becomes the central bank of global compute. By locking in capacity with SK Hynix and Samsung, Nvidia is mitigating the HBM (high bandwidth memory) bottleneck that could have derailed their 2027 roadmap. However, the sheer scale of these investments suggests a massive CAPEX cycle that risks future margin compression if end-user AI adoption doesn't scale linearly with this hardware buildout.
These massive, multi-year commitments could create a supply glut if the AI hype cycle cools, leaving Nvidia and its partners saddled with massive, depreciating infrastructure assets.
"HBM supply constraints are real and will benefit memory makers, but the $950B in announced deals vastly overstates near-term revenue impact and masks execution and geopolitical risks."
The article conflates *announced* deals with *secured* supply. A $500B SK Hynix agreement 'over a number of years' is not $500B of immediate revenue—it's optionality. More concerning: the article doesn't question whether these deals are real commitments or political theater. South Korea's president flying to SF, massive round numbers ($950B total), and vague timelines ('2027,' 'a number of years') suggest these may be MOUs rather than binding contracts. The memory supply story is real—HBM is genuinely bottlenecked—but the article presents announced partnerships as fait accompli when execution risk remains enormous. Also missing: geopolitical risk. U.S.-China chip restrictions could crater demand assumptions underlying these deals.
These are largely memoranda of understanding with no binding purchase commitments, and geopolitical tensions could unwind South Korean supply chains before 2027 capacity comes online.
"The alleged multi-hundred-billion-dollar commitments may not translate into realized demand fast enough to justify NVDA's current valuation, given cyclical memory dynamics and execution risk."
From a headline read, Korea’s push looks like a supply-chain triumph for Nvidia. But the article likely overstates the immediacy and size of the impact. The $500B memory deal is probably a long-duration, contingent arrangement with price-and-capacity terms, not a guaranteed revenue stream. The 2 GW power target implies an almost ecosystem-scale build-out that may take years to materialize, while memory pricing cycles and HBM economics could compress margins if demand softens. Regulatory, geopolitical, and execution risks loom as well, including export controls and integration risk across memory, foundry, and cloud players. Net: upside remains a potential path, but the near-term reliability and magnitude of the boost are uncertain.
But many announced deals in AI hardware ecosystems turn out to be non-binding MOUs with optimistic capacity targets; real demand and pricing stability often lag actual bookings, capping near-term upside and leaving potential for disappointment on the margin/EV side.
"Geopolitical and subsidy tailwinds likely override MOU risks, turning announced deals into de-facto secured capacity."
Claude correctly flags MOUs over contracts, yet everyone underplays the second-order winner: Korean chaebols now have Nvidia-tied balance sheets that will force Seoul to subsidize power and foundry scale. This isn't just HBM; it's de facto industrial policy guaranteeing 2GW+ buildout even if spot prices correct in 2027.
"The physical power grid constraints in South Korea represent a hard bottleneck that will force delays in infrastructure buildouts regardless of government subsidies or Nvidia-tied MOUs."
Grok is overly optimistic about Seoul's power subsidies. Relying on state-backed industrial policy to guarantee 2GW of capacity ignores the reality of South Korea's grid constraints and the 'NIMBY' backlash against new data center infrastructure. Even if the chaebols are tied to Nvidia, the physical limitations of the Korean power grid are a hard ceiling that money alone cannot fix. Expect significant delays to these 'guaranteed' buildouts, regardless of the political theater.
"South Korea will solve the power problem through subsidy, but that doesn't prevent HBM oversupply from crushing margins in 2027-28."
Gemini's grid constraint argument is real, but Grok's industrial-policy point cuts deeper: Seoul won't let this fail politically. The chaebols are now hostages to Nvidia's roadmap. However, Grok conflates 'guaranteed buildout' with 'guaranteed profitability'—state subsidies can force 2GW online while still destroying memory margins if oversupply materializes. Power availability ≠ pricing power.
"The real risk isn't grid constraints alone; timing and policy/regulatory headwinds could break the 2GW CAPEX thesis and erode memory margins."
Gemini raises grid limits, but timing risk matters more: a 2GW buildout may miss the 2027-28 demand if hyperscalers falter. Execution risk multiplies in a subsidy-backed Korean chain—grid upgrades, permitting, and financing could push capex beyond plan. The 'industrial policy fixes all' narrative ignores policy shifts and currency/regulatory headwinds that could derail the CAPEX cycle and memory margins.
The panel agrees that the $500B SK Hynix deal is not immediate revenue but long-term optionality, with significant execution, geopolitical, and regulatory risks. The 2GW power buildout may face delays due to grid constraints and could still result in oversupply and margin compression.
Long-term supply chain advantages for Nvidia and potential state subsidies for Korean chaebols.
Oversupply of HBM and potential margin compression due to demand softening or geopolitical risks.