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JPMorgan’s Dimon Warns Elevated Market Leverage Raises Risk of Sharp Selloffs

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JP Morgan Chase puts contents through its CEO account, it goes viral. But the same content via JPMC account, no one cares (WSJ)

JM Morgan CEO says record margin debt and widespread borrowing could amplify market shocks, though he stops short of predicting a financial crisis

JPMorgan Chase Chief Executive Jamie Dimon has warned that elevated levels of leverage across financial markets are increasing the risk of sudden bouts of volatility, adding to growing concerns that years of rising asset prices and aggressive borrowing have left investors more vulnerable to sharp market reversals.

Speaking in an interview with CNBC aired on Wednesday, Dimon said leverage throughout the financial system has reached unusually high levels, making markets more susceptible to rapid selloffs if investor sentiment shifts unexpectedly.

“Market leverage is pretty high,” Dimon said.

“When you have that, you do have a higher chance that something will disrupt the market in a quick way and people will get rattled over it.”

His assertion follows investors’ debate over whether soaring equity valuations, particularly in artificial intelligence-related stocks, have encouraged excessive risk-taking through borrowed money and leveraged investment products.

Dimon made the remarks after being asked about the rapid growth of leveraged single-stock exchange-traded funds (ETFs), investment products that seek to amplify the daily gains or losses of individual stocks by using derivatives and borrowed exposure.

Such products have attracted significant investor interest during the AI-driven rally as traders sought to magnify returns from high-profile technology companies. However, regulators and market participants have questioned whether these vehicles could exacerbate volatility during market downturns.

Rather than focusing on leveraged ETFs themselves, Dimon said his larger concern was the amount of leverage embedded throughout financial markets.

“Margin debt is the highest it’s ever been,” he said, noting that many forms of leverage are not captured in traditional margin debt statistics.

Margin debt refers to money investors borrow from brokerage firms to purchase securities. While borrowing can magnify gains during rising markets, it also increases losses when asset prices decline, often triggering margin calls that force investors to liquidate positions quickly.

Those forced sales can intensify market declines, particularly when many investors are simultaneously using borrowed funds.

Dimon, however, stopped short of suggesting that current leverage levels pose an immediate threat to financial stability.

“I’m not going to say it’s systemically high or that it’s going to cause a disaster, but it’s high,” he said.

This is considered a measured assessment that elevated leverage increases market vulnerability without necessarily signaling an imminent financial crisis. The issue has attracted renewed attention following a series of sharp market swings linked to highly leveraged investment strategies.

In South Korea, regulators recently tightened oversight of single-stock leveraged ETFs after heightened volatility exposed the risks associated with products that amplify daily movements in individual shares. The concern intensified after the country’s semiconductor-heavy stock market experienced sharp declines.

On Thursday, the benchmark Kospi index closed 5% lower and has now fallen roughly one-third from the record high reached in June, highlighting how quickly investor sentiment toward AI-related assets can reverse.

The selloff was led by major technology companies that have been among the biggest beneficiaries of the global AI investment boom.

Samsung Electronics fell about 6%, while memory chipmaker SK Hynix tumbled nearly 10%, reflecting growing investor caution after several semiconductor companies reported earnings that, although strong, failed to exceed the market’s elevated expectations.

The recent volatility has bolstered concerns that richly valued AI stocks have become increasingly sensitive to even modest disappointments in earnings or guidance.

Separately, the collapse of AI-focused hedge fund Situational Awareness indicated that leverage can accelerate losses once markets move against investors. The hedge fund lost approximately 67% in July after margin calls forced it to unwind much of its public equity portfolio. The firm ultimately sold most of those holdings to Ken Griffin’s Citadel as it sought to meet financing obligations.

The episode revealed that leveraged investment strategies can unravel rapidly when declining asset prices trigger demands from lenders for additional collateral, forcing investors to sell assets into falling markets and potentially amplifying broader market declines.

Dimon’s warning comes at a time when global equity markets remain near record highs, supported by strong corporate earnings, continued investment in artificial intelligence infrastructure and expectations that major central banks will eventually begin easing monetary policy.

Those factors have fueled investor appetite for risk assets, particularly technology stocks, while encouraging greater use of leverage to enhance returns.

Although leverage is a common feature of modern financial markets and can improve liquidity during stable conditions, periods of elevated borrowing have historically increased the severity of market corrections by accelerating forced selling once prices begin to fall.

Singapore Says $7.4 Billion Of Exports Affected By Latest U.S. Tariffs As Trade Tensions Deepen

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About one-third of Singapore’s exports to the United States, valued at S$9.5 billion ($7.4 billion) annually, will be affected by the new 12.5% U.S. tariff introduced on July 24, Trade and Industry Minister Gan Kim Yong said on Wednesday, highlighting the growing impact of Washington’s latest trade measures on one of its closest economic partners in Asia.

Addressing parliament, Gan said the tariffs, imposed under Section 301 of the U.S. Trade Act of 1974, would apply to roughly one-third of Singapore’s exports to the United States, including optical instruments and chemical products.

However, several important export categories remain exempt, including energy and energy-related products, selected electronics, aerospace goods, semiconductors and pharmaceuticals. Those exemptions are expected to cushion the overall economic impact, given Singapore’s prominent role in global semiconductor manufacturing and pharmaceutical production.

The tariffs are part of a broader U.S. trade action targeting 60 trading partners, with Washington noting that the affected economies have not done enough to prevent imports of goods produced using forced labor.

According to Gan, the United States told Singapore that the tariffs were imposed because the country does not have legislation explicitly prohibiting the importation of goods produced with forced labor, nor has it signed an Agreement of Reciprocal Trade with Washington committing to introduce such measures.

“Importantly, none of the 60 economies, including those that already have such prohibitions in force, received a full exemption from the tariff,” Gan told lawmakers, noting that major economies including the European Union and China were also subject to similar measures.

Singapore has consistently rejected any suggestion that it facilitates trade involving forced labor. The government maintains there is no evidence that goods linked to forced labor are entering global supply chains through the city-state, which is widely regarded as one of the world’s most transparent and rules-based trading hubs.

Even so, Gan indicated Singapore is approaching any potential negotiations with caution.

He said the government would need to “consider carefully” any proposal for a reciprocal trade agreement with the United States because such arrangements could extend well beyond forced-labor provisions. According to Gan, Washington could seek broader commitments, including tighter export controls and restrictions involving trade with third countries, raising wider strategic and economic considerations for Singapore.

The United States is strengthening export controls on advanced technologies and seeks greater cooperation from allies to restrict sensitive trade with China. As one of the world’s largest trading hubs, Singapore faces unique challenges in adapting to such requirements.

Gan noted that the country’s combined goods and services trade totals approximately S$2.5 trillion annually, including S$1.4 trillion in merchandise trade. Given that scale, introducing comprehensive import restrictions or significantly altering customs rules could have far-reaching consequences for Singapore’s role as a regional logistics, manufacturing and transshipment center.

The latest tariffs also show that close economic ties with Washington no longer guarantee exemptions from U.S. trade actions.

The United States recorded a $3.6 billion trade surplus with Singapore in 2025, according to figures from the Office of the United States Trade Representative (USTR), making Singapore one of the few Asian economies with which the U.S. exports more goods than it imports.

Despite that trade surplus, Singapore was still included in Washington’s latest tariff action, underscoring that the measures are being driven primarily by policy objectives related to forced labor and supply-chain standards rather than bilateral trade imbalances.

The latest measures add another layer of uncertainty to the global trading environment, as businesses continue to navigate expanding tariffs, export controls and supply-chain realignments linked to intensifying geopolitical competition between the United States and China.

The tariffs were introduced after the Trump administration allowed an earlier 10% global tariff to expire and replaced it with new country-specific duties under Section 301 of the Trade Act of 1974. Washington says the action is intended to encourage trading partners to strengthen measures preventing goods produced with forced labor from entering international supply chains.

For Singapore, whose economy depends heavily on open markets and cross-border trade, the challenge extends beyond the immediate tariff impact. Analysts have warned that any future agreement with the United States could require commitments on export controls, customs enforcement and technology-related trade that may influence Singapore’s broader commercial relationships across Asia.

While exemptions for semiconductors, pharmaceuticals and other high-value exports limit the immediate economic damage, the measures support the growing fragmentation of global trade.

SoftBank Beats Profit Forecast as Intel Windfall and ByteDance Gains Offset AI Investment Pressures

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Japanese investment giant posts stronger-than-expected quarterly earnings, while rising AI costs and investor scrutiny cloud outlook

SoftBank Group reported stronger-than-expected fiscal first-quarter earnings, with a surge in the value of its Intel investment and gains from TikTok owner ByteDance helping offset mounting costs associated with its aggressive artificial intelligence strategy.

The Japanese technology investment conglomerate posted net profit of 347.3 billion yen ($2.2 billion) for the quarter ended June, comfortably exceeding analysts’ consensus forecast of 120.23 billion yen, according to LSEG. Although earnings surpassed expectations, profit was still 17.8% lower than a year earlier, reflecting softer contributions from its investment portfolio compared with the prior year’s exceptional gains.

The quarter demonstrated that SoftBank’s earnings remain heavily dependent on movements in the valuation of its investment portfolio, particularly as the company doubles down on artificial intelligence while taking on greater financial risk.

A major driver of the quarter’s performance was SoftBank’s investment outside its Vision Fund business. The company recorded a 1.3 trillion yen unrealized gain on its stake in U.S. chipmaker Intel, whose shares have surged nearly 400% over the past 12 months following renewed investor optimism surrounding its semiconductor turnaround and expanding role in AI infrastructure.

SoftBank invested roughly $2 billion in Intel last year, and the rally helped its investment business generate segment profit of 1.05 trillion yen, providing the largest single contribution to overall earnings.

The Vision Fund division, which holds stakes in high-growth technology companies including OpenAI and ByteDance, also returned to profitability, although the contribution was modest compared with the previous quarter.

SoftBank reported a $1.7 billion increase in the value of its Vision Fund portfolio, primarily driven by a $2.2 billion gain in the valuation of ByteDance, the Chinese technology company behind TikTok. Those gains were partially offset by declines in holdings such as digital payments company PayPay.

As a result, the Vision Fund business posted a 5.4 billion yen profit, a sharp improvement from the 451.4 billion yen loss recorded a year earlier.

However, the latest performance marked a significant slowdown from the previous quarter, when Vision Fund gains approached $20 billion, largely driven by the revaluation of SoftBank’s investment in OpenAI.

This quarter, the company reported no gain or loss related to its OpenAI stake, highlighting how dependent recent earnings have become on changes in private-market valuations rather than recurring operating income.

OpenAI nevertheless remains central to SoftBank’s long-term strategy.

The company reiterated that it has committed to invest more than $60 billion in the ChatGPT developer, with $55 billion already deployed. Once fully completed, the investment is expected to give SoftBank roughly 13% ownership of OpenAI, making it one of the company’s largest shareholders.

Founder and Chief Executive Officer Masayoshi Son has positioned SoftBank as one of the world’s biggest investors in artificial intelligence, combining stakes in AI software companies with ownership of semiconductor businesses such as Arm Holdings, Graphcore and Ampere Computing.

That strategy has transformed SoftBank into one of the largest private investors in the global AI ecosystem but has also heightened investor concerns over concentration risk, capital requirements and the timing of financial returns.

Those concerns have intensified in recent months. SoftBank’s shares have fallen about 34% from the record high reached in June as investors question how the company will continue financing its ambitious AI investments while maintaining balance-sheet flexibility.

The pressure was reflected in the company’s AI computing segment, which posted a 200.8 billion yen operating loss, significantly wider than the 32.4 billion yen loss recorded during the same period last year. The segment includes Arm, Graphcore and Ampere, and SoftBank attributed the deteriorating performance primarily to increased research and development spending as those companies accelerate investment in next-generation AI chips and computing technologies.

Many technology companies are currently prioritizing long-term infrastructure investment over near-term profitability in an effort to secure strategic positions in what executives expect to become a multi-trillion-dollar AI market.

Speaking to CNBC in June, Son rejected suggestions that SoftBank had become overly dependent on OpenAI, noting that the company accounts for roughly 20% of SoftBank’s net asset value.

He also reiterated his long-term conviction in artificial intelligence.

“I don’t think we are overexposed,” Son said.

Describing the industry’s future potential, he added that the AI revolution would be “50 times bigger than the dot-com boom.”

“This is the biggest revolution of technology and realization that mankind ever experienced, so this is just like the beginning of the internet,” Son said.

The latest results underscore both the opportunities and risks embedded in SoftBank’s investment approach. While gains from Intel and ByteDance demonstrate the upside potential of its concentrated portfolio, analysts note that widening losses in its AI computing business and the absence of valuation gains from OpenAI indicate that earnings still depend on fluctuating market values rather than underlying operating performance.

Meta Discloses Its AI Model Security Breached A Company During Cyber Test, Following Anthropic, OpenAI

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Meta Platforms said one of its artificial intelligence models compromised another company’s systems during a cybersecurity evaluation, becoming the latest major AI developer to disclose a security incident involving increasingly capable AI models and intensifying concerns over AI-related cyber risks.

The disclosure follows similar incidents involving OpenAI and Anthropic, amplifying growing concerns among policymakers and cybersecurity experts about whether advanced AI systems could eventually pose broader security threats if not adequately contained during testing.

Meta said the incident occurred during a cybersecurity assessment conducted by independent testing company Irregular, where a configuration error unintentionally granted one of Meta’s AI models access to the internet. The company said the model subsequently exploited a vulnerability in a third-party service in a manner similar to previously disclosed incidents at other AI developers.

“The model exploited a security vulnerability in a third-party service, in a manner similar to previously reported instances with other companies,” Meta said in a statement, adding that it is investigating the incident.

The disclosure comes after Anthropic revealed last week that three of its Claude models gained unauthorized access to external organizations’ systems because of configuration issues that unintentionally exposed them to the open internet. OpenAI previously disclosed that one of its AI agents independently exploited a previously unknown software vulnerability during cybersecurity testing, allowing it to reach the internet and compromise systems belonging to AI platform Hugging Face.

Unlike the OpenAI incident, which involved an AI agent discovering and exploiting a previously unknown vulnerability, Meta and Anthropic said their incidents resulted from testing-environment misconfigurations rather than deliberate attempts by the models to escape containment.

Technology publication The Information, citing people familiar with the matter, reported that the model involved was Meta’s Muse Spark 1.1, which the company has promoted as one of its most capable models for coding and autonomous agent tasks. According to the report, the model breached an unidentified company’s systems and modified parts of its internal computing environment.

Meta did not identify the model involved or confirm the report.

An Irregular spokesperson told Reuters the incident stemmed from “the exact same evaluation-environment issue that was already disclosed by Anthropic last week” and emphasized that it was not “a sandbox escape or a sophisticated cyber action.”

“There are no current open issues. Irregular is developing a white paper to share best practices for containment and securely running cyber evaluations,” the spokesperson said.

The series of incidents has heightened pressure on AI developers and regulators as autonomous AI systems become capable of performing complex cybersecurity tasks. Some AI researchers have warned that models designed to identify software vulnerabilities could potentially be repurposed for offensive cyber operations if appropriate safeguards are not in place.

The incidents have also drawn political attention in Washington. A group of Republican state attorneys general has asked OpenAI to preserve documents related to its Hugging Face security breach, while the company has said it will publish a technical report detailing the incident.

The disclosures come as the Trump administration moves to strengthen oversight of advanced AI systems. Earlier this week, the White House hosted executives from Meta, Anthropic, OpenAI and Google to discuss a newly finalized voluntary cybersecurity testing framework for frontier AI models before they are deployed.

According to Reuters, administration officials informed companies that open-weight AI models, including Meta’s Llama family and Nvidia’s Nemotron models, will not be covered by the planned voluntary safety testing framework, reflecting a narrower approach than some AI safety advocates had sought.

The latest disclosures have added to the growing safety challenge that AI developers are grappling with as models become more capable of autonomous reasoning and software engineering. While all three companies said the incidents occurred in controlled testing environments and did not pose risks to the public, they have intensified debate over the sufficiency of voluntary industry safeguards.

Bipartisan Lawmakers Allege Trump’s Ties to Silicon Valley Undermine White House’s AI Oversight, After OpenAI, Anthropic Cyber Incidents

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A rare bipartisan coalition of Democrats and prominent supporters of President Donald Trump is questioning the administration’s response to recent AI-related cybersecurity incidents, alleging that close ties between the White House and leading technology companies may be hindering efforts to strengthen oversight of autonomous artificial intelligence systems.

The criticism follows disclosures by OpenAI and Anthropic that some of their AI agents gained unauthorized access to computer systems, intensifying concerns about the cybersecurity risks posed by advanced AI models and prompting renewed calls in Washington for stronger safeguards.

Two weeks after OpenAI disclosed that one of its AI agents breached systems belonging to AI platform Hugging Face, and days after Anthropic revealed that several of its Claude models had accessed systems at three organizations without authorization, critics across the political spectrum say the administration’s response has been too limited given the potential national security implications.

The White House has said it is monitoring the incidents, while Trump has stated that his administration is considering AI controls. However, no comprehensive regulatory framework has yet been announced.

Among the most outspoken critics is Steve Bannon, a longtime Trump ally, former White House strategist and influential conservative commentator, who stated that the administration’s approach has been overly influenced by Silicon Valley.

“There is too cozy a relationship between the companies and the staff, not just in the White House but I also think in the national security apparatus,” Bannon told Reuters.

“Why would you allow them to be in control? You don’t. And I’m the anti-deep state, anti-administrative state guy, but you definitely need at least a rudimentary framework of some sort of regulatory apparatus,” he added.

Democratic Senator Ron Wyden of Oregon voiced similar concerns, suggesting the administration has failed to adequately address emerging AI risks.

“Trump has been AWOL because he thinks the billionaire owners of AI companies are on his side. Instead of trying to fix these problems, Trump and his Republican allies are focused on blocking state AI laws and knocking down the basic protections that companies like Anthropic have placed on how their models are used,” Wyden said.

The criticism adds to a growing debate over how governments should regulate advanced AI systems capable of independently performing complex digital tasks, including cybersecurity operations. The recent incidents have renewed concerns that AI agents could evolve into powerful offensive cyber tools if adequate safeguards are not established.

Anthropic’s relationship with the U.S. government has also become more complicated this year after the company declined to allow the military to use its AI models for mass domestic surveillance or fully autonomous weapons systems, highlighting broader tensions between national security priorities and AI developers’ own ethical policies.

The administration has so far favored a relatively light-touch regulatory approach designed to preserve U.S. competitiveness in artificial intelligence while encouraging innovation. In June, the White House announced plans to ask developers of advanced AI systems, including OpenAI and Anthropic, to voluntarily submit models with sophisticated cyber capabilities for government cybersecurity testing before public release.

However, details of the program remain limited. Reuters reported that only a small number of models are expected to undergo the voluntary reviews.

Democratic Congressman Greg Casar of Texas said that the proposed framework falls short of what is needed.

“He took millions from AI billionaires. Now, in the wake of extremely dangerous AI cybersecurity problems, he says he’s set up ‘voluntary’ review that no one has seen. Asleep at the wheel. Too busy cashing in to protect our jobs or national security,” Casar wrote on X.

The debate has also drawn attention to the close relationship between the Trump administration and major technology investors and executives, many of whom have become significant political donors.

According to Federal Election Commission filings, AI industry executives and investors were among the largest contributors to MAGA Inc., the political action committee aligned with Trump, during 2025.

OpenAI President Greg Brockman and his wife, Anna Brockman, contributed a combined $25 million to the committee. Venture capital firm Andreessen Horowitz, a major OpenAI investor, together with co-founders Marc Andreessen and Ben Horowitz, donated a combined $12 million following Trump’s second inauguration.

Other prominent donors include Google investor Asha Jadeja, SpaceX Chief Executive Elon Musk and Blackstone Chief Executive Stephen Schwarzman, each of whom contributed at least $5 million, according to FEC records.

Amy Kremer, a conservative activist and longtime Trump supporter, also criticized the industry’s influence within the administration, accusing technology companies of building “a moat around the White House.”

Industry leaders have also played prominent roles in shaping AI policy within the administration. Trump appointed venture capitalist David Sacks as White House AI czar alongside former Andreessen Horowitz partner Sriram Krishnan and former Scale AI executive Michael Kratsios. Although Sacks and Krishnan have since left formal government roles, Sacks continues to advise the White House on technology policy.

Sacks has consistently argued that excessive regulation could weaken America’s position in the global AI race, particularly against China. Reflecting that philosophy, the administration has sought federal legislation limiting state-level AI regulations, although the proposal was overwhelmingly rejected by the U.S. Senate.

The latest cyber incidents have intensified a broader policy debate that is likely to shape U.S. AI regulation in the coming years. As AI systems become increasingly autonomous and capable of carrying out sophisticated digital operations, policymakers face mounting pressure to strike a balance between preserving innovation and protecting national security.

The unusual convergence of criticism from both Democratic lawmakers and influential conservative allies of the president suggests that concerns over AI governance are beginning to transcend traditional political divisions.