South Korean memory chip giant SK Hynix has launched a landmark U.S. share sale that could raise about $28 billion, positioning the company at the center of one of the largest equity offerings ever as investors continue to pour money into businesses powering the global artificial intelligence revolution.

The company began marketing its American Depositary Receipt (ADR) offering on Monday, seeking to capitalize on unprecedented investor appetite for AI-related companies and to broaden its shareholder base beyond Asia.

According to regulatory filings, SK Hynix will sell 17.79 million new shares through a Nasdaq listing, with every common share represented by 10 American Depositary Receipts. The final offering price will be determined later this week based on the company’s share price in Seoul.

The transaction is expected to rank among the largest equity offerings in history. If completed at its targeted size, it would trail only SpaceX’s record $85.7 billion public offering completed last month, surpassing Saudi Aramco’s $25.6 billion initial public offering in 2019 and Alibaba’s similarly sized U.S. listing in 2014.

Despite a 4% decline in SK Hynix’s Seoul-listed shares on Monday amid broader market weakness, the company’s stock has surged approximately 273% this year, making it one of the world’s strongest-performing semiconductor stocks.

South Korea’s benchmark KOSPI index fell 2.2% on the day.

The listing comes as SK Hynix has emerged as one of the biggest beneficiaries of the AI investment boom, overtaking several global rivals in the race to supply the advanced memory chips required for artificial intelligence systems.

The company is the world’s leading producer of high-bandwidth memory (HBM), a specialized form of DRAM that sits alongside AI processors and enables them to process enormous volumes of data at high speed. Its HBM chips are widely used in Nvidia’s AI accelerators and are increasingly deployed in systems operated by Google, Microsoft, Amazon, Meta, and other hyperscale cloud providers investing hundreds of billions of dollars in AI infrastructure.

Unlike traditional DRAM, HBM has become one of the semiconductor industry’s most constrained products because of its complex manufacturing process and limited global production capacity. The resulting supply shortage has fueled soaring prices, allowing SK Hynix to significantly outperform competitors including Samsung Electronics and Micron.

“This is more than a liquidity event,” said Dave Mazza, Chief Executive Officer of Roundhill Investments, whose exchange-traded fund tracks global DRAM manufacturers.

“SK Hynix has been one of the most important companies in the world that most U.S. institutions could not easily own. The listing removes an accessibility discount, not a quality discount.”

Analysts say a Nasdaq listing could substantially expand the company’s global investor base.

While large international funds have long been able to access Korean equities, a U.S. listing is expected to attract smaller institutional investors, retail investors, and passive investment funds that primarily invest through American exchanges.

Steve Sosnick, chief strategist at Interactive Brokers, said the listing opens the company to “a new group of momentum-hungry investors.” The move could also pave the way for SK Hynix’s eventual inclusion in the Philadelphia Semiconductor Index, one of the world’s most widely followed semiconductor benchmarks.

Analysts note that such inclusion would likely trigger automatic purchases by index funds and exchange-traded funds tracking the semiconductor sector, potentially increasing demand for the stock over time.

The proceeds from the offering will be used to finance the next phase of SK Hynix’s expansion.

The company said the capital will support construction of new semiconductor fabrication facilities in South Korea while funding purchases of advanced manufacturing equipment, including extreme ultraviolet (EUV) lithography machines produced by Dutch semiconductor equipment leader ASML.

Those investments come as semiconductor manufacturers race to expand production capacity to meet rapidly growing AI demand.

Cashing in on the Government’s Support

The offering also coincides with South Korea’s newly unveiled national semiconductor strategy. Last week, President Lee Jae Myung announced a sweeping industrial program worth approximately $576 billion aimed at strengthening the country’s leadership in semiconductors and artificial intelligence.

Under the plan, SK Hynix and Samsung Electronics will anchor a new semiconductor ecosystem in southwestern South Korea through large-scale investments in fabrication plants, AI infrastructure and advanced manufacturing.

On Monday, President Lee instructed government officials to accelerate implementation of the initiative, warning that delays involving permits, land acquisition, electricity, and water infrastructure could undermine South Korea’s competitiveness in advanced technologies.

The government views semiconductors as a strategic industry central to the country’s future economic growth, particularly as global competition intensifies among the United States, China, Japan, Taiwan, and Europe.

How Will the Boom Last?

Despite the industry’s strong fundamentals, investors remain divided over how long the current AI-driven memory boom can continue.

Recent volatility in semiconductor stocks bolsters growing questions about whether hyperscalers will sustain record levels of AI infrastructure spending after committing hundreds of billions of dollars to new data centers.

Some analysts also warn that soaring memory prices could eventually increase costs across the technology industry, affecting spending on AI infrastructure, smartphones, personal computers and enterprise servers.

“We believe the memory cycle is beyond the early phase and now in the mid-cycle stage,” said Sundeep Gantori, Standard Chartered’s Chief Investment Officer for equities.

Nevertheless, many analysts expect structural AI demand to support elevated memory prices for years.

The global shortage of advanced memory has already prompted technology companies to sign long-term supply agreements, while manufacturers continue expanding production capacity in anticipation of sustained demand through at least the second half of the decade.

The Nasdaq listing could also help narrow SK Hynix’s valuation gap with U.S.-listed peer Micron by improving international accessibility and increasing trading liquidity. HSBC recently raised its valuation multiple for SK Hynix, citing stronger shareholder-friendly initiatives and enhanced access for global investors through the planned U.S. listing.

When the Insiders Start Talking

Something shifted in late 2025. On a single Friday, three of the most prominent voices in artificial intelligence stepped forward and hedged, publicly, on where this whole thing is going. Goldman Sachs CEO David Solomon said he expects “a lot of capital that was deployed that doesn’t deliver returns.” Jeff Bezos, Amazon’s founder and executive chairman, called the current environment “kind of an industrial bubble.” And OpenAI’s own CEO Sam Altman warned that “people will overinvest and lose money” during this phase of the AI boom.

These aren’t outside critics or short-sellers. They are the architects of the boom itself. That makes their words worth sitting with, especially as investors tracking everything from msft stock to nvidia price are trying to figure out whether the rally has genuine legs or whether it’s running on borrowed confidence.

The Numbers Behind the Noise

The scale of spending is genuinely difficult to process. Amazon, Alphabet, Meta, and Microsoft alone spent nearly $300 billion on capital expenditures in 2025, a figure that GMO estimated at roughly 1.3% of U.S. GDP. AI-related capital expenditures surpassed the U.S. consumer as the primary driver of economic growth in the first half of 2025, accounting for 1.1% of GDP growth, according to Yale Insights. That is an extraordinary structural shift, and it happened fast.

Since ChatGPT launched in November 2022, AI-related stocks have accounted for 75% of S&P 500 returns, 80% of earnings growth, and 90% of capital spending growth, according to Michael Cembalest of JPMorgan Asset Management. Bloomberg Intelligence put the total market valuation added by AI-related stocks at around $17.5 trillion over that same period. For anyone watching microsoft share price climb through this cycle, those figures explain a lot of the momentum.

Nvidia made a $100 billion commitment to OpenAI in 2025. Cloud providers including Amazon Web Services, Microsoft, and Google are expected to collectively ramp their AI spending further in 2026. The spending trend, by any measure, appears strong. Whether the returns match it is a separate and much harder question.

OpenAI’s Uncomfortable Math

OpenAI sits at the center of this debate in a way that deserves direct attention. The company, backed by Microsoft, reported $3.7 billion in revenue against operating costs of $8 billion to $9 billion. It anticipates generating $13 billion this year, which would represent substantial growth. The projection from The Information, though, is harder to dismiss: OpenAI is expected to incur losses amounting to $129 billion by 2029.

That gap between revenue trajectory and cumulative losses is precisely what the bubble debate hinges on. Fidelity has noted that the monetization of AI still lags investment, even as the spending trend remains strong. That’s not a contradiction so much as a description of where the industry sits: enormous capital deployed, returns still catching up.

Is This a Bubble or Just a Boom?

The word “bubble” gets used loosely, and it’s worth being precise about what the disagreement actually is. A Yale Insights survey found that 60% of CEOs polled didn’t believe AI hype had led to overinvestment. The other 40% raised significant concerns. That split is not a ringing endorsement of the status quo.

Yahoo Finance’s framing that AI stocks like Nvidia and Microsoft are “nowhere near a bubble” represents one camp, and it’s not a fringe view. Nvidia’s second-quarter data showed the massive influx of capital into AI had significantly elevated stock values, and the earnings narrative around the company has been consistently strong. Nvidia’s November 19 earnings were flagged as a key test of whether the AI boom still had legs. The outcome of that kind of test shapes how investors read everything downstream, from perplexity ai valuations to coinbase’s exposure to AI-adjacent token speculation.

The circular quality of some deals deserves scrutiny. Nvidia committing $100 billion to OpenAI, while OpenAI’s primary backer Microsoft is itself one of the largest buyers of Nvidia chips, creates a financial loop that looks elegant until you ask where the external revenue justifying all of it actually comes from. The chainlink news cycle and broader crypto markets have shown repeatedly how quickly sentiment-driven valuations can detach from fundamentals, and some analysts see a parallel forming here.

What Comes Next

Crypto betting by TipsGG and other speculative platforms have long understood something traditional finance is still processing: markets can stay irrational longer than any single participant can stay solvent, but the reckoning does eventually arrive. Bitcoin’s own history of boom and correction cycles offers a useful, if imperfect, reference point for thinking about concentrated enthusiasm in a single technology narrative.

The AI spending cycle is real. The infrastructure being built is real. The question nobody can answer cleanly is whether the returns will arrive fast enough, and at sufficient scale, to justify the $300 billion in annual capex now being treated as routine. Fidelity’s assessment that spending trends appear strong is accurate. So is Solomon’s warning. Both things are true at once, and that tension is where the actual risk lives.