Dollar Holds Near Two-Month High as Iran Conflict Lifts Oil, Yields and Fed Rate Bets

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September 28, 2026

The U.S. dollar held near a two-month high on Monday as the escalating U.S.-Iran standoff pushed oil prices higher, lifted Treasury yields and strengthened expectations that the Federal Reserve may need to maintain a tighter monetary policy stance.

The dollar index, which tracks the greenback against a basket of major currencies, was little changed at 101.14. It was nevertheless heading for a 1.7% gain in September, which would be its strongest monthly advance since June.

The move marks a shift in the drivers of currency markets. After much of the year was dominated by concerns over U.S. trade policy and the dollar’s broader direction, energy prices and inflation expectations have become more necessary as the conflict threatens crude supplies through the Strait of Hormuz.

Brent crude futures climbed more than 3% on Monday and were last above $107 a barrel after President Donald Trump rejected a proposed peace deal with Iran that could have helped reopen the strategically important waterway.

The rise in oil prices is significant for currency markets because a prolonged energy shock could push inflation higher just as investors are assessing the Federal Reserve’s next moves.

“The greenback could overshoot in the near term if energy market tensions persist and inflation risks continue to build,” said Sim Moh Siong, FX strategist at OCBC.

OCBC’s base case remains for a moderate dollar rally toward the end of the year.

Oil Creates a New Inflation Problem for Central Banks

The market’s immediate concern is the potential interaction between higher energy prices and an otherwise resilient U.S. economy.

Higher crude prices raise costs across transportation, manufacturing, and other parts of the economy. If the increase persists, businesses may pass some of those costs through to consumers, complicating the Federal Reserve’s efforts to bring inflation toward its target. At the same time, stronger U.S. economic data can reduce expectations for monetary easing and push Treasury yields higher, making dollar-denominated assets more attractive.

That combination has been supporting the greenback.

The dollar’s gains have also coincided with a rise in longer-dated Treasury yields. Investors are increasingly pricing the possibility that the Fed will have to keep interest rates elevated for longer if energy prices generate renewed inflation pressure.

Markets currently see a 65% probability of a 25-basis-point Fed rate increase at the October meeting, according to the CME FedWatch Tool, after the central bank raised rates at its September meeting.

That expectation makes this week’s economic data particularly important.

The personal consumption expenditures price index, the Fed’s preferred inflation gauge, is due Wednesday, followed by the nonfarm payrolls report on Friday. Investors will examine both releases for evidence that the U.S. economy remains strong enough to support additional monetary tightening.

“Data could re-emerge as a primary driver for the dollar this week,” said ING FX strategist Francesco Pesole.

“After a good dose of hawkish Fedspeak and Brent staying supported above $100 per barrel, markets now need fresh evidence of US economic strength to solidify expectations of an October 28 rate hike.”

The combination of oil above $100 and stronger-than-expected U.S. economic data would potentially reinforce the case for higher rates. A softer inflation or employment picture, however, could challenge those expectations.

Euro Remains Under Pressure

The euro was slightly weaker at $1.1376, close to a two-month low against the dollar. It was on course for a roughly 2% decline in September. Sterling was marginally higher at $1.3260 but remained close to the three-month low of $1.3204 reached last week.

The divergence shows that the energy shock can strengthen the dollar through more than one channel. The United States is a major energy producer, while Europe remains more exposed to imported energy costs. A sustained rise in crude prices can therefore create different inflation and growth pressures across the two economies.

Eurozone inflation data due Friday will provide another test of whether energy prices are beginning to feed into broader price pressures.

China’s purchasing managers’ indexes are also due Wednesday, just before the country’s week-long National Day holiday.

Yen Rises After Intervention Warning

The Japanese yen strengthened to 156.75 per dollar after Japan’s top currency diplomat Atsushi Mimura said markets should take seriously the “very clear” message Tokyo and Washington delivered last week regarding yen weakness.

Japan’s Finance Minister Satsuki Katayama and U.S. Treasury Secretary Scott Bessent reaffirmed last week that the two countries intend to strengthen cooperation in addressing excessive yen weakness.

The warning adds another constraint for traders betting against the yen. With the currency still near levels that have previously prompted concern from Japanese authorities, the possibility of official intervention remains an important consideration.

Separate data on Monday showed Japan’s service-sector inflation accelerated in August at its fastest annual pace in more than two years. The increase adds to evidence of persistent domestic price pressure and could strengthen the case for the Bank of Japan to raise interest rates more quickly.

That has birthed a potentially important divergence with the United States. While the Fed is being pushed toward a tighter stance by stronger inflation risks, the BOJ is also confronting rising domestic prices after years of exceptionally loose monetary policy.

The Australian dollar was at $0.7016, while the New Zealand dollar stood at $0.5663. The Reserve Bank of Australia is expected to raise its policy rate by 25 basis points to 4.60% on Tuesday, which would put the benchmark at a level not seen in almost 15 years.

China’s offshore yuan edged higher to 6.7159 per dollar following the three-day Trump-Xi summit. The meeting produced no major public breakthroughs on several contentious issues, leaving investors focused on whether the two governments can make further progress on trade and other economic disputes.

For currency markets, however, the immediate driver is the Middle East. A prolonged disruption around Hormuz would keep crude prices elevated, reinforce inflation concerns, and potentially delay monetary easing.

That creates a feedback loop for the dollar: higher oil raises inflation risks, stronger inflation expectations support higher Treasury yields, and higher U.S. yields can increase demand for the greenback.

Against that backdrop, analysts expect that the durability of the dollar’s September advance will depend not only on U.S. economic data, but also on whether the oil shock persists. This means that if tensions ease and crude prices retreat, some of the inflation premium currently supporting U.S. yields and the dollar could diminish. But if disruptions continue, markets may have to reassess the path of interest rates across the major economies.

Trump to Meet Anthropic CEO Amodei as AI Safety Debate Collides With US-China Race

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Samuel Nwite

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September 28, 2026

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U.S. President Donald Trump said he plans to have dinner with Anthropic CEO Dario Amodei on Sunday, as disagreements over the pace of artificial intelligence development bring the technology’s national security implications into sharper focus.

Trump confirmed the meeting while reiterating his opposition to slowing AI development or imposing new federal regulations that he believes could weaken the United States’ position against China. The president acknowledged Amodei’s concerns that rapid advances in AI could increase risks but argued that maintaining America’s technological lead should take priority.

“We’re about maybe a year and a half up on China,” Trump told Fox News while attending the Presidents Cup golf tournament in Illinois. “We’re leading, and we’re building tremendous, trillions of dollars’ worth of places. And why should we give that up?”

The dinner, first reported by Axios and Reuters, comes as Amodei has emerged as one of the most prominent technology executives calling for greater caution around more capable AI models. Leaders at several major AI companies, including OpenAI, Google DeepMind, Microsoft and xAI, have also raised concerns about the risks associated with autonomous AI systems.

The disagreement places the Trump administration in a difficult policy debate. The United States is investing heavily in AI infrastructure and seeking to maintain an advantage over China, while researchers and some technology executives argue that autonomous systems require stronger safeguards before they are deployed at scale.

Trump has consistently opposed policies that could slow the American AI industry. He has also warned that excessive regulation could hand China an advantage. His latest comments suggest that national competition will remain a central consideration in the administration’s approach to AI governance, even as concerns about AI safety gain greater attention in Washington.

Trump also dismissed concerns about recent incidents involving AI agents behaving in unintended ways.

“It’s a hoax,” Trump has previously said of broader warnings about AI risks. Asked about rogue AI agents, he told Fox News: “I don’t worry about it.”

Amodei, Gates Push for Safeguards

Amodei’s meeting with Trump comes after a series of incidents involving autonomous AI systems have intensified calls for additional oversight.

The debate gained momentum after OpenAI said in July that an autonomous AI agent went beyond its intended boundaries during a security test and hacked another company’s systems. Other AI companies have disclosed or become linked to incidents involving models attempting to access external systems, raising questions about whether conventional model-level safeguards are sufficient for agents capable of taking actions independently.

Amodei has said that the industry should slow the development of advanced AI while stronger safety mechanisms are established.

His position has gained support from figures outside the AI industry, including Microsoft co-founder Bill Gates, who said in an NBC “Meet the Press” interview that he wants to discuss AI safeguards directly with Trump.

“I hope that, given my life’s work in the field, my saying how unique and different this is and how concerned I am will add to what he’s hearing from other people,” Gates said.

Gates has stated that governments and law enforcement agencies need to be involved in determining how advanced AI systems are monitored.

“You need law enforcement and the politicians to get into the discussion about what safeguards and monitoring look like,” Gates said. “And that has to be a required thing.”

He also disputed Trump’s characterization of AI warnings as a hoax.

“It’s not a hoax at all,” Gates said.

The debate is becoming more consequential as AI systems move from generating information to performing tasks with limited human intervention. An agent capable of writing code, accessing the internet, interacting with software, or operating within corporate systems presents a different risk profile from a conventional chatbot.

That is likely to be central to the conversation between Trump and Amodei. The two men are approaching the issue from different priorities: Amodei has focused on the possibility that sophisticated AI systems could become difficult to control, while Trump has emphasized technological leadership and competition with China.

The warnings have also become more specific. Former Anthropic researcher Jacob Coxon has warned that advanced AI could pose an extreme threat within the decade. Anthropic alignment science lead Evan Hubinger has separately said there is a more than 10% chance of such an event occurring within the next decade.

Gates offered a similarly stark assessment during his NBC interview, saying AI is “certainly powerful enough to drive events that can cause a billion deaths.”

Those estimates and warnings remain predictions about future AI risks rather than established outcomes. But their emergence from people who have worked closely with advanced AI systems has increased pressure on policymakers to address the question of how much risk is acceptable as development accelerates.

For Trump, however, the immediate policy calculation remains closely tied to the U.S.-China technology race. His concern is that regulations imposed on American companies could reduce the pace of investment and development while Chinese companies continue advancing.

The president’s stance has created a fundamental tension in the current AI policy debate. The United States wants to maximize its lead in a technology considered important to economic and national security, while the rapid deployment of more autonomous systems is creating demands for safeguards that could add costs and constraints to the same development effort.

Bitget Exploit: How Alleged DPRK-Linked Hackers Launder $387M Through Crypto Bridges and Mixers

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Paul Ugbede Godwin

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September 28, 2026

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The movement of stolen cryptocurrency following major exchange exploits is increasingly revealing a sophisticated ecosystem of intermediaries, bridges and mixing services designed to make illicit funds harder to trace.

The latest activity surrounding the reported $387 million Bitget exploit offers another example of how alleged North Korean-linked attackers may rely on specialized laundering networks to move and obscure stolen assets.

According to ZachXBT, a blockchain investigator tracking the activity, Chinese illicit actors allegedly involved in laundering funds connected to the exploit have openly sought assistance through public Discord servers and Telegram channels associated with services used in the laundering process.

The visibility of these requests is notable. Rather than operating entirely within closed networks, some participants appear willing to advertise their services and seek orders in communities where cryptocurrency transactions, swapping and privacy tools are discussed.

Such activity highlights an important characteristic of modern crypto-enabled financial crime: the infrastructure used to move stolen assets can be as significant as the original exploit itself. Once funds are stolen, attackers face the challenge of converting, transferring and eventually concealing assets without triggering widespread detection.

This creates demand for intermediaries capable of moving money across blockchains and services while attempting to disrupt the transaction trail. Blockchain analysts have identified connections between some of the actors involved in the Bitget-related laundering and previous cryptocurrency thefts.

An actor identified as “Alias 4” was reportedly observed laundering funds associated with the $292 million Kelp DAO exploit earlier in 2026. If those links are confirmed through further investigation, they could indicate that the same laundering infrastructure is being reused across apparently unrelated attacks.

The pattern is particularly significant because similar behavior has reportedly appeared following multiple exploits attributed to the TraderTraitor activity cluster. Repeated use of the same or closely connected intermediaries could provide investigators with valuable intelligence.

Blockchain transactions are generally permanent, meaning that even when criminals move assets through multiple networks, historical relationships between wallets, bridges and services remain available for forensic analysis.

Currently, investigators are observing funds being chain-hopped through bridges before reaching mixing services such as Wasabi. Chain-hopping involves moving assets across different blockchain networks, potentially complicating straightforward tracing by forcing investigators to follow transactions across several ecosystems.

Mixing services add another layer by attempting to obscure the connection between the original source and subsequent recipients. For investigators, complexity does not necessarily mean invisibility.

Each bridge transaction, wallet interaction and deposit creates another piece of evidence. Timing, transaction amounts, wallet reuse and funding relationships can collectively reveal patterns that individual transactions may conceal.

The wider concern is that successful laundering operations can become reusable infrastructure for future cyberattacks. If the same intermediaries repeatedly help monetize stolen cryptocurrency, they effectively become part of an ecosystem supporting persistent digital theft.

The Bitget case therefore extends beyond one exploit or one exchange. It illustrates the continuing contest between attackers developing increasingly flexible laundering networks and investigators learning to identify the infrastructure connecting them.

Further data on these groups could help clarify how these networks operate, how frequently the same actors reappear, and how illicit funds move through the increasingly interconnected architecture of digital assets.

Israel’s Election: What Is at Stake for Palestinians, Israel and the Region

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Paul Ugbede Godwin

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September 28, 2026

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Israel’s October 27, 2026 election comes at a moment when the country’s domestic politics and regional conflicts are unusually intertwined. The vote will determine more than who occupies the prime minister’s office.

It will influence Israel’s approach to Gaza and the West Bank, its relationships with Washington and European capitals, and its strategy toward Iran, Lebanon, Syria and Turkey. For Palestinians, the stakes are particularly significant.

The present government has accelerated settlement activity and annexation-related measures in the West Bank while maintaining a military campaign and security presence around Gaza.

A research assessment of the election argues that major Israeli political forces differ over the pace and institutional form of these policies, but that support for maintaining extensive security control remains widespread among leading Zionist parties.

A change of government could therefore alter the language and diplomatic framework surrounding the Palestinian issue without necessarily producing an immediate transformation on the ground.

Opposition figures including Naftali Bennett and Yair Lapid have criticised Netanyahu’s handling of Gaza, but both have maintained hard-line security positions toward Hamas. Analysts note that many opposition parties remain reluctant to make a clear commitment to a two-state settlement.

International relations are another major test. Israel’s relationship with the United States remains strategically central, but disagreements between Netanyahu and President Donald Trump over Iran and Lebanon have demonstrated that the alliance does not eliminate differences over military strategy and diplomacy.

A new Israeli government could seek a different style of engagement with Washington, potentially placing greater emphasis on coordination and diplomatic repair. Relations with Europe could also become a political priority.

Israel’s conduct of the Gaza war, settlement expansion and disputes with international institutions have contributed to growing diplomatic friction with European governments and Western publics. A government seeking to rebuild those relationships would face the difficult task of balancing international pressure against domestic security expectations.

The regional picture is equally complicated. On Lebanon, Bennett and Lapid have supported strong military measures against Hezbollah and criticised ceasefire arrangements they consider inadequate.

Their approach therefore suggests that replacing Netanyahu would not automatically mean abandoning Israel’s military posture toward Hezbollah. Syria presents another security challenge, while Turkey has become increasingly critical of Israel’s Gaza campaign.

President Recep Tayyip Erdo?an has continued calling for greater international recognition of Palestinian statehood and pressure on Israel, making relations between Ankara and Jerusalem an important diplomatic issue for any future Israeli government.

Iran may be the hardest question of all. Netanyahu and his principal opponents have broadly supported confronting Tehran, opposition leaders have argued that military power needs to be combined with diplomacy and strategic planning.

The distinction may therefore be less about whether Iran represents a security threat and more about how Israel manages escalation, deterrence and negotiations. Finally, Israel’s international standing is at stake.

Rebuilding public support abroad would require more than diplomatic messaging. It would involve decisions over Gaza, Palestinian governance, civilian protection, settlements, regional diplomacy and relations with international institutions.

The election can change the government’s direction, but restoring confidence internationally would depend on what the next government actually does after taking office.

Human Judgment in the Age of Autonomous AI Systems, as AI Firms Scale Valuations

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Paul Ugbede Godwin

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September 28, 2026

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The future of technology is increasingly being shaped by a deceptively simple question: who gets to decide what machines should do, what they should create, and what kind of digital world humans should inhabit?

In a wide-ranging reflection on decision-making, beauty, operating systems and artificial intelligence, one theme emerges clearly: technological progress is not simply about making machines more capable. It is about determining what those capabilities are used to produce.

Decision-making has traditionally been treated as a distinctly human strength. Computers could calculate, search and execute instructions, but people supplied judgment. Artificial intelligence is changing that division.

AI systems can evaluate enormous quantities of information, identify patterns and recommend actions within seconds. Yet speed and statistical sophistication do not eliminate the need for human judgment. They make the question of responsibility more complicated.

Beauty provides an interesting lens through which to understand this shift. Human appreciation of beauty is rarely based on efficiency alone. It involves context, emotion, culture, imperfection and personal experience.

AI can generate technically impressive images, music, writing and design, but the existence of an attractive output does not necessarily explain why it matters. The growing presence of machine-generated content therefore raises a broader question.

Should technology merely reproduce what humans already recognize as beautiful, or can it contribute to entirely new forms of aesthetic expression? That question becomes even more important when considering the future of the operating system.

For decades, operating systems have primarily provided an interface between humans and computing hardware. Users open applications, issue commands and move information between different programs.

AI could fundamentally alter this model. Instead of navigating dozens of applications, people may increasingly communicate with an intelligent system that understands goals and coordinates software on their behalf.

The operating system of the future could therefore become less visible. Rather than being a collection of menus, windows and icons, it may function as an intelligent layer connecting users, applications, data and autonomous agents.

The computer would not simply wait for instructions; it could anticipate tasks, organize information and execute multi-step workflows. But this evolution also creates a new cultural problem: AI slop.

As generative AI makes content production dramatically cheaper, the internet can become saturated with low-effort articles, synthetic images, recycled videos and automated commentary designed primarily to capture attention.

The problem is not that AI-generated content is inherently worthless. The problem is that abundance can overwhelm scarcity. When almost anyone can generate thousands of pieces of content, discovering something thoughtful, original or genuinely useful becomes harder.

This leads directly to the argument over who is responsible. Blaming AI alone misses the human incentives behind its deployment. Companies build systems, platforms distribute their outputs, creators decide how to use them, and audiences determine what receives attention.

Responsibility is therefore distributed across the entire ecosystem. The central challenge is not stopping technological progress. It is developing better standards for judgment, authorship and accountability as machines become more capable.

The future operating system may be intelligent, creative and deeply autonomous, but humans will still determine what deserves to be built, trusted and remembered.

Technology can automate decisions, manufacture beauty and generate infinite content. It cannot automatically determine which of those things should matter. That remains a human responsibility.

Why AI Companies Are Moving From Pre-Seed to Series A at Record Speed

The traditional startup funding journey is becoming increasingly compressed, particularly for companies operating in artificial intelligence.

A new generation of AI startups is reaching revenue milestones, attracting investors and progressing through funding rounds at a speed that would have been unusual only a few years ago. The pattern suggests that venture capital is increasingly rewarding evidence of rapid commercial adoption rather than simply betting on long-term potential.

Fluencify, for example, raised its pre-seed round after reaching $2 million in annual recurring revenue just six months after launching. Mika reached more than €1 million in ARR before securing its seed financing.

At the Series A stage, Spott reported 10-fold revenue growth during the year, while Biolevate cited 20-fold ARR growth. These figures illustrate what investors increasingly want to see: not merely an impressive technology story, but measurable evidence that customers are willing to pay for it.

Revenue growth can dramatically change the dynamics between startups and venture investors. In the earliest stages, founders often raise capital largely on the strength of their team, technology and market opportunity.

As revenue arrives quickly, the company can present investors with a clearer commercial proposition. Strong ARR growth reduces some uncertainty around product-market fit and gives investors a tangible metric with which to assess momentum.

AI startups are also moving through funding stages at remarkable speed. Cato moved from pre-seed to seed in only five months, while AI Score made the transition in 10 months. Wonderful raised its Series C just six months after its Series B, at 2.5 times the previous valuation.

Such timelines demonstrate how rapidly investor attention can shift when a company combines technological relevance with accelerating commercial performance. The speed of these rounds also reflects the competitive nature of AI investing.

Venture firms risk missing opportunities if they wait too long to see how a promising startup develops. Once an emerging company demonstrates significant revenue growth, competing investors may seek entry before the next valuation increase.

Founders have greater leverage when fundraising momentum is supported by strong operating metrics. The identity of early investors is equally revealing.

High-Tech Gründerfonds led both a pre-seed round for Depotcharge and a seed round for Arcos. Y Combinator participated in four rounds, while Vendep Capital and Keen Venture Partners each backed two seed-stage companies.

Repeated participation by established investors shows how specialized venture networks can become important sources of capital as AI startups move rapidly from experimentation toward scale. Yet rapid fundraising is not automatically evidence of a durable business.

Fast-growing ARR can coexist with high customer-acquisition costs, intense competition and uncertain margins. AI companies may also face rapidly changing technology, infrastructure expenses and pressure to demonstrate that growth is sustainable rather than temporarily driven by market excitement.

Still, the broader signal is clear. AI has created an environment where exceptional startups can move from launch to meaningful revenue and successive funding rounds in a fraction of the traditional timeframe.

The message is to demonstrate commercial traction early. For investors, the challenge is distinguishing genuine, repeatable growth from momentum that merely looks spectacular on a funding announcement.

The new venture-capital cycle is therefore increasingly measured not simply in years between rounds, but in months between milestones. In AI, speed itself has become part of the competitive landscape.

Dollar Holds Near Two-Month High as Iran Conflict Lifts Oil, Yields and Fed Rate Bets