The extraordinary investor demand surrounding SpaceX’s record-breaking initial public offering has reverberated far beyond Wall Street, reaching South Korea’s foreign exchange market and contributing to one of the sharpest episodes of pressure on the Korean won this year.

However, a major source of that strain now appears to be fading.

According to a source familiar with foreign exchange transactions, cited by Reuters, the estimated $1.2 billion to $1.5 billion in dollar purchases linked to South Korean participation in SpaceX’s blockbuster IPO has reached its final stages, easing concerns that the transaction would continue to weigh on the local currency.

The development comes as SpaceX moves toward pricing what is expected to be the largest IPO in history. Reuters reported on Tuesday that the Elon Musk-led aerospace and satellite company has attracted more than $250 billion in investor orders, more than three times the $75 billion it seeks to raise, and one of the strongest displays of investor appetite ever seen in global capital markets.

“There was significant interest in how much dollar demand the SpaceX IPO would generate in the dollar-won foreign exchange market. The volume itself sits around $1.2 billion to $1.5 billion,” the source said.

“However, the process has been split and is nearly complete, so there won’t be downward pressure on the won on the FX market going forward. The supply and demand issues related to this have been resolved.”

The comments offered some relief to market participants who have watched the Korean currency come under sustained pressure in recent weeks.

The won strengthened following the report, gaining 0.56% to trade at 1,524.1 per dollar during afternoon trading. The currency had earlier been pushed to its weakest level in 17 years as institutional investors and wealthy retail investors scrambled to secure dollars needed to participate in SpaceX’s pre-IPO allocation process.

The episode serves as an example of the global reach of mega-capital raisings tied to artificial intelligence and space infrastructure companies. While IPOs have historically been concentrated within equity markets, the scale of SpaceX’s offering has created ripple effects across currency markets, bond markets, and portfolio allocations worldwide.

South Korean investors have emerged as some of the most enthusiastic international buyers of high-profile U.S. technology and growth stocks in recent years. The country’s retail investors, often referred to as “ants” for their collective market influence, have poured billions of dollars into overseas equities, particularly U.S. technology names linked to artificial intelligence.

SpaceX’s listing appears to have intensified that trend. The estimated $1.5 billion conversion demand may appear modest by global standards, but it had an outsized impact on South Korea’s currency market because of the relative size of daily trading volumes.

The dollar-won spot market averages roughly $14 billion in daily turnover, making it more vulnerable to sudden bursts of demand than deeper currency markets such as the euro-dollar or dollar-yen pairs. As a result, a single large transaction tied to a highly anticipated IPO was sufficient to exert noticeable downward pressure on the won, even as South Korea’s external economic position remained strong.

The pressure came despite the country recording a near-record current account surplus of $28.3 billion in April, a figure that would ordinarily support the local currency. The disconnect highlights how capital flows linked to investment demand can sometimes overwhelm traditional economic fundamentals in the short term.

The won remains among Asia’s weakest-performing currencies this year, having lost roughly 5% against the U.S. dollar despite strong semiconductor exports and robust external balances.

Authorities have responded by stepping up oversight of foreign exchange activity. In a significant move, the Bank of Korea and the Financial Supervisory Service announced plans to conduct joint inspections of major foreign exchange banks for the first time in 14 years. The review is aimed at identifying any attempts to manipulate exchange rates or exploit periods of market stress for profit.

SpaceX’s offering is widely expected to serve as the opening act for a series of enormous listings that could include AI leaders OpenAI and Anthropic, as well as other technology firms seeking access to public markets. Together, these companies could add several trillion dollars in market value to global equity markets over the coming years, attracting capital from institutional and retail investors around the world.

While the easing of SpaceX-related foreign exchange demand removes one immediate source of pressure on the won, it also offers a preview of the challenges that could emerge as investors increasingly shift capital toward a new generation of technology giants dominating global markets.

In the bustling tech hub of Hangzhou, 26-year-old contractor Liu watched her workload shrink dramatically earlier this year. Her employer at a major Chinese internet company began mandating the use of advanced AI agents like OpenClaw — a tool that has seen explosive adoption across the country.

Tasks that once took teams of people days to complete could now be handled by AI in minutes. By March, the quiet firings started.

“The tasks most people do can be completely replaced by OpenClaw,” Liu said. “After a person writes all their workflows into OpenClaw… they can basically be fired.”

Liu is far from alone. Across China’s tech, entertainment, and advertising sectors, companies are implementing small-scale, discreet layoffs and hiring freezes as they accelerate AI adoption. Nine workers interviewed by Reuters described a pattern of gradual headcount reduction designed to avoid triggering government scrutiny or public backlash.

This behind-the-scenes restructuring stands in sharp contrast to the high-profile, large-scale AI-linked job cuts announced by Western giants like Meta, which have fueled anti-AI sentiment in the U.S. and Europe.

Beijing faces a delicate balancing act. The government’s ambitious “AI Plus” initiative aims for 70% AI adoption across key sectors by 2027 and 90% by 2030, viewing the technology as essential for boosting productivity and sustaining economic growth. Yet officials are acutely aware of the social risks. Under Chinese labor laws, companies must obtain government approval for layoffs exceeding 10% of their workforce, and courts have ruled against firms that openly replace workers with AI.

A senior manager at a major Chinese fintech company explained the internal calculus, saying: “Private companies will need to make room for some level of inefficiency in order to avoid mass layoffs that would prompt ‘social instability’ and could have political ramifications.”

This cautious approach reflects deeper structural realities. China is already grappling with a high youth unemployment rate, and early-career workers are disproportionately exposed to AI automation. Citibank estimates that 9.6% of all Chinese jobs, roughly 70 million positions, are at high risk of displacement, with the figure rising to 13.6% for workers in their 20s. At the same time, a record 12.7 million university graduates entered the job market last year amid declining entry-level pay and fewer opportunities.

Token Usage as Performance Metric

Some firms are going further than just reducing headcount — they are measuring AI adoption itself. A big data engineer at one Chinese tech giant said his manager began ranking employees by token usage (a measure of AI compute consumption) in March, with the metric now tied to performance reviews and promotion prospects.

“It is relatively forced. One should not use AI for the sake of it,” he said on condition of anonymity. “I still can’t shake the feeling that I’m getting closer to being replaced.”

The entertainment industry has been hit particularly hard. Low-budget micro-drama studios have shifted aggressively to AI-generated actors and sets.

“We had 30-40 people in our production department. After the transition to AI, each group was cut down to about 10 people, with only two remaining for live-action filming. With live-action, a single actor costs thousands of yuan per day, even for a minor role with just a few lines,” Ayase, a 22-year-old micro-drama producer who was let go in February, said, describing the scale of change.

Chinese authorities are walking a careful line. State media has run articles reassuring workers that AI is not “stealing people’s rice bowls,” while officials study the employment impact and potential reskilling needs. However, a comprehensive policy response has yet to emerge. The hashtag “AI anxiety” has racked up millions of views on platforms like RedNote, where users draw parallels to 19th-century weavers displaced by power looms.

“AI sits at the center of China’s economic transition in a particular way: it is simultaneously a driver of the disruption and the proposed solution to it. Wide-scale AI adoption is needed to achieve industrial efficiency and accelerate innovation. The hope is a positive snowball effect on productivity and growth,” Selena Guo, social policy analyst at advisory firm China Policy, said.

Yet the speed of job displacement currently outpaces new AI-related job creation. While AI job postings surged 74% in 2025, the broader labor market remains challenging. Companies like Alibaba are reportedly reducing headcount in areas such as marketing and front-end development through attrition and targeted cuts rather than mass layoffs. An engineer in Alibaba’s cloud division said AI-driven reductions are unfolding gradually across parts of the company.

Long-Term Outlook

The push for AI comes as China’s economy shows signs of cooling after a strong first quarter. Growth slowed in April, with industrial production and retail sales posting some of their weakest readings in years. The official manufacturing PMI slipped to the contraction threshold of 50 in May.

Economists warn that without robust domestic consumption, the productivity gains from AI may not fully offset the social and economic costs of displacement. The government’s emphasis on “high-quality development” and technological self-reliance is clear, but translating that into a broad-based opportunity for workers remains a formidable challenge.

Currently, many Chinese companies appear to be prioritizing quiet efficiency gains over dramatic public restructurings. This approach may buy time, but it does not eliminate the underlying tension. As AI tools like OpenClaw and Wukong (Alibaba’s multi-agent platform) become more capable, with features like “one-person company” skills that can automate entire departments, the pressure on employment will only intensify.

Liu, the Hangzhou contractor, is already contemplating her options.

“AI penetrating every aspect of life is only a matter of time… I want to go back to farming, or become an artisan,” she said.

Her sentiment echoes a growing anxiety across China’s workforce.

Elon Musk’s artificial intelligence company xAI and rocket manufacturer SpaceX are facing a new legal challenge that highlights the growing tensions between the rapid expansion of AI infrastructure and the communities hosting it.

A group of Mississippi residents has filed a proposed class-action lawsuit in federal court, alleging that a gas-fired power plant built to support xAI’s data center operations in Southaven has subjected thousands of people to relentless noise, vibrations, and declining property values.

The lawsuit, filed in Oxford, Mississippi, claims the companies created both a public nuisance and a private nuisance by failing to control what residents describe as “omnipresent and inescapable” noise generated by turbines powering nearby AI facilities.

Three residents brought the suit on behalf of an estimated class of more than 10,000 people.

“The artificial intelligence (AI) boom is wreaking havoc on communities across the United States” by subjecting thousands of residents to near-constant noise and vibrations, the complaint states.

The plaintiffs are seeking compensation for alleged emotional distress, loss of enjoyment of their properties, declining home values, and other damages. They are also asking the court to order the disgorgement of profits allegedly generated through the operations.

The case adds to mounting scrutiny over the physical footprint of the AI industry, which has increasingly become one of the most significant consumers of electricity in the United States.

AI’s hidden infrastructure challenge

Much of the public discussion around artificial intelligence has focused on breakthrough models, soaring valuations, and intense competition among technology giants. Less attention has been paid to the infrastructure required to power those systems.

Training and operating advanced AI models require enormous computing capacity, forcing companies to rapidly build data centers and secure dedicated power sources. xAI has emerged as one of the most aggressive investors in that race. Although CEO Elon Musk is floating a space-based infrastructure alternative that will completely eliminate environmental concerns, the idea is still theoretical.

According to the lawsuit, xAI invested more than $20 billion in the Southaven project, supported by Mississippi state officials, including Tate Reeves. The facility relies on gas-fired turbines that supply electricity to AI data centers in and around Southaven.

For local residents, however, the lawsuit argues that the economic benefits have come with high costs.

“Our homes are supposed to be a sanctuary for us against the world,” plaintiffs’ attorney Robert Wiygul said in a statement. “When they are invaded by noise 24 hours a day, it takes that fundamental peace of a good and decent life away from us.”

The allegations bolster a growing national debate over whether communities are bearing an unequal share of the burdens associated with the AI boom while receiving relatively few of the financial rewards.

Growing legal pressure on xAI

The latest complaint is not the only legal challenge facing xAI in Mississippi. In April, the NAACP filed a separate lawsuit accusing the company of violating federal environmental regulations through the operation of the power plant and associated data center infrastructure.

That case remains pending.

The dispute has drawn attention from Washington as well. Last month, the U.S. Department of Justice signaled that it may intervene in the NAACP lawsuit, stating in a court filing that the case raises broader legal and policy questions regarding the federal government’s role in supporting and regulating AI infrastructure.

The possibility of federal involvement highlights how AI development is increasingly intersecting with environmental, energy, and community-impact concerns.

The Southaven lawsuit arrives at a time when technology companies are spending hundreds of billions of dollars to build AI infrastructure. Industry leaders, including OpenAI, Anthropic, Google, and xAI, are racing to secure computing capacity, power supplies, and data center space to support increasingly powerful AI systems.

That buildout has sparked concerns among environmental groups, local governments, and residents over electricity demand, water usage, emissions, and quality-of-life impacts.

The Mississippi case could become an important test of how courts balance the economic importance of AI infrastructure against claims from communities that say they are paying the price for the industry’s rapid expansion.

The lawsuit presents another challenge for xAI, which is seeking to strengthen its position in the global AI race when investor attention increasingly focuses on the sustainability and social consequences of the industry’s unprecedented growth.

A U.S. federal judge has granted preliminary approval to a revised $38 billion settlement between merchants and payment giants Visa and Mastercard, marking a major milestone in one of the longest-running and most consequential antitrust disputes in American financial history.

The decision by U.S. District Judge Brian Cogan moves the agreement closer to final approval and could reshape how merchants accept card payments, potentially loosening some of the restrictions that have governed the U.S. card industry for decades.

The case dates back to 2005, when merchants accused Visa, Mastercard, and major issuing banks of conspiring to inflate interchange fees, commonly known as swipe fees, which retailers pay every time consumers use credit cards.

While the settlement does not fundamentally dismantle the existing card-payment ecosystem, it represents one of the most significant concessions ever extracted from the dominant payment networks.

The dispute centers on interchange fees, which merchants have long argued are among the highest in the world and reflect Visa and Mastercard’s overwhelming market power. The revised agreement emerged after an earlier $30 billion settlement was rejected in 2024 by Judge Margo Brodie, who concluded that the proposed remedies did not go far enough in addressing the competitive concerns raised by merchants.

The new settlement seeks to address those shortcomings by offering larger fee reductions and greater flexibility for merchants.

Under the agreement:

• Visa and Mastercard will reduce interchange fees by 0.1 percentage point for five years.
• Standard consumer card rates will be capped at 1.25% for eight years.
• Merchants will gain broader authority to impose surcharges on customers.
• Retailers will be allowed to decide whether to accept commercial cards, premium rewards cards, or standard consumer cards separately.

The final provision is especially significant because it weakens the longstanding “Honor All Cards” framework that historically required merchants to accept all cards within a network or reject them entirely.

A Challenge To The Economics Of Rewards Cards

The settlement could have important implications for the lucrative rewards-card business that has become central to the U.S. consumer credit market. Premium rewards cards generate some of the highest interchange fees in the industry because banks use those revenues to fund travel points, cashback offers, and other consumer incentives.

For years, merchants argued they were effectively subsidizing those rewards programs through higher processing fees. The revised settlement gives retailers more leverage by allowing them to reject certain categories of cards while continuing to accept others.

Although many merchants may be reluctant to stop accepting premium cards because of customer expectations, the mere possibility creates new negotiating leverage that did not previously exist. The result could place pressure on banks to reassess rewards economics over time if merchant acceptance becomes more selective.

Why merchants remain dissatisfied

Despite the court victory for Visa and Mastercard, opposition from major retailers remains strong. Groups including the National Retail Federation, the Merchants Payments Coalition, and the National Association of Convenience Stores argued that the settlement still leaves fundamental competitive issues unresolved.

Their concern is that consumers increasingly rely on premium rewards cards, making it difficult for retailers to reject those cards without risking lost sales. In practice, merchants argue that they will remain compelled to accept high-cost cards because customers expect them to do so.

Retail giant Walmart was among the settlement’s most vocal critics, arguing that the agreement allows Visa and Mastercard to preserve market practices that have persisted for decades.

Another unresolved issue involves issuer-level acceptance. Merchants will still be unable to selectively reject cards issued by specific banks while accepting cards from others within the same network.

That limitation preserves much of the bargaining power enjoyed by large card issuers.

The enormous scale of the swipe-fee economy

According to data cited by merchant groups, Visa and Mastercard swipe fees reached approximately $118.8 billion in 2025, up from $111.2 billion in 2024 and nearly five times the $25.6 billion recorded in 2009. The average interchange fee climbed to roughly 2.36%, making payment processing one of the largest operating expenses for many retailers after labor and rent.

The growth of rewards cards, digital payments, and e-commerce has accelerated fee generation across the industry.

As cash usage continues to decline, merchants have become increasingly dependent on card networks, strengthening concerns about competition and pricing power. Supporters of the settlement argue that the agreement could generate benefits beyond merchants themselves.

The plaintiffs’ economic experts, including Nobel Prize-winning economist Joseph Stiglitz and University of Washington professor Keith Leffler, estimate that the agreement could save merchants roughly $38 billion through 2031 and generate broader economic benefits worth as much as $224 billion.

Their argument is that lower payment-processing costs could eventually translate into lower prices for consumers. Whether those savings are passed through remains uncertain. Historically, economists have debated how much merchant cost reductions ultimately benefit shoppers versus boosting retailer margins.

However, the settlement highlights the extraordinary influence Visa and Mastercard continue to exert over global commerce. Together, the two networks process the vast majority of U.S. credit-card transactions and serve as critical infrastructure for the modern economy.

Although the agreement introduces greater flexibility for merchants, it stops short of fundamentally restructuring the card-payment market. That reality helps explain why Visa and Mastercard shares rose after the ruling. Investors appear to view the settlement as manageable and unlikely to materially disrupt the industry’s long-term profitability.

The broader antitrust debate, however, is unlikely to disappear. As digital payments continue to replace cash and as regulators globally scrutinize payment fees, network power, and market concentration, pressure on the card industry’s business model is likely to persist.