SHANGHAI: Volatility in China’s yuan since August is a normal market reaction to escalating trade frictions stoked by the US and was caused, to some extent, by Washington’s decision to raise tariffs, a senior Chinese central bank official said.
Zhu Jun, director-general of the People’s Bank of China’s international department, made the comments to a forum held in the northern Chinese province of Heilongjiang.
The US Treasury Department on Monday labeled China a currency manipulator, hours after China let the yuan drop through a key support level to its lowest point in more than a decade. The moves jolted financial markets, fueling fears of a global currency war.
Days earlier, US President Donald Trump had vowed to impose a 10 percent tariff on $300 billion of Chinese imports from Sept. 1, ending a temporary truce and sharply escalating the trade dispute.
Zhu said that the yuan’s move was a normal reaction to Trump’s tariff threat. “The labeling ... violates basic, common economic sense and international consensus, and is unconvincing,” Zhu said, adding that the Chinese economy was resilient and capable of coping with various situations.
The year-long trade war between the world’s two largest economies has already spread beyond tit-for-tat tariffs on goods to other areas such as technology, and analysts caution retaliation could widen in scope and severity, weighing further on business confidence and global economic growth.
The yuan lost 1.6 percent against the dollar last week, but there were signs in the last few sessions that authorities were trying to stabilize it.
The International Monetary Fund (IMF) has been reluctant to comment on the US move. The US is the IMF’s largest shareholder and has strong sway over who will be its new leader after Christine Lagarde resigned last month.
A US Treasury official said Secretary Steven Mnuchin spoke with IMF Acting Managing Director David Lipton this week by telephone about currency consultations and also about the leadership succession.
On Friday, the head of the IMF’s China department, James Daniel, stood by the fund’s assessment last month in a report on currencies and trade balances that the value of China’s yuan was broadly in line with economic fundamentals.
He provided no clues to the path forward on the IMF’s engagement with Treasury.
“Our discussions with the US Treasury are ongoing on a range of issues,” Daniel told reporters on a conference call about the IMF’s annual review of China’s economic policies.
G7 officials have also declined to discuss the issue despite repeated queries.
Prominent economists, including former IMF chief economist Maurice Obstfeld and former Treasury Secretary Larry Summers, say there is no evidence to support the move.
China’s global current account surplus is close to zero and Beijing has spent hundreds of billions of dollars to prop up the yuan’s value in the face of mounting tariff pressures.
For the moment, European nations are in no mood to aggravate China or support Trump given his threats to impose tariffs on EU exports, said Stephanie Segal, a former senior Treasury official now at the Center for Strategic and International Studies.
Any attempt to intervene on currency markets would be difficult to do alone, Segal said.
“Currency markets are just too big to act unilaterally, even if it’s the United States,” she said. “It’s not sustainable.”
Naoyuki Yoshino, dean of the Asian Development Bank Institute and former chairman of the Japanese Ministry of Finance’s council on foreign exchange, said the announcement was all about politics, not economic fundamentals.
“The best solution is (for China) to open its capital market,” he said. “Then, if their exports keep on going, capital inflows will come and then the (yuan) should automatically appreciate,” he said.
This currency move would not be the first time that the Trump administration has ignored established policy-making protocols to carry out the president’s directives.
Philip Diehl, a former senior US Treasury official who ran the US Mint when China was last labeled a currency manipulator in 1994, said the designation followed intense deliberations within the Treasury and State Departments that also weighed human rights issues.
He said the Trump administration’s actions call into question the legitimacy of the whole process for evaluating currency manipulations.
“They’re not well thought out, they’re impulsive and they do not appear to be coordinated with our allies,” Diehl said.
Volatility in China’s yuan linked to US trade friction
Volatility in China’s yuan linked to US trade friction
- The US is the IMF’s largest shareholder and has strong sway over who will be its new leader after Christine Lagarde resigned last month
Saudi Arabia looks to Swiss-led geospatial AI breakthroughs
- IBM’s Zurich lab is shaping tools policymakers could use to protect ecosystems
ZURICH: For Gulf countries such as Saudi Arabia, AI-powered Earth observation is quickly becoming indispensable for anticipating climate risks, modeling extreme weather and protecting critical national infrastructure.
That reality was on display inside IBM’s research lab in Zurich, where scientists are advancing geospatial AI and quantum technologies designed to help countries navigate a decade of accelerating environmental volatility.
The Zurich facility — one of IBM’s most sophisticated hubs for climate modeling, satellite analytics and quantum computing — provides a rare look into the scientific foundations shaping how nations interpret satellite imagery, track environmental change and construct long-term resilience strategies.
For Saudi Arabia, where climate adaptation, space technologies and data-driven policy align closely with Vision 2030 ambitions, the lessons emerging from this work resonate with growing urgency.
At the heart of the lab’s research is a shift in how satellite data is understood. While traditional space programs focused largely on engineering spacecraft and amassing imagery, researchers say the future lies in extracting meaning from those massive datasets.
As Juan Bernabe-Moreno, director of IBM Research Europe for Ireland and the UK, notes, satellites ultimately “are gathering data,” but real impact only emerges when institutions can “make sense of that data” using geospatial foundation models.
These open-source models allow government agencies, researchers and local innovators to fine-tune Earth-observation AI for their own geography and environmental pressures. Their applications, Bernabe-Moreno explained, have already produced unexpected insights — identifying illegal dumping sites, measuring how mangrove plantations cool cities, and generating flood-risk maps “for places that don’t usually get floods, like Riyadh.”
The relevance for Saudi Arabia is clear. Coastal developments require precise environmental modeling; mangrove restoration along the Red Sea is a national priority under the Saudi Green Initiative; and cities such as Riyadh and Jeddah have recently faced severe rainfall that strained existing drainage systems.
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The ability to simulate these events before they unfold could help authorities make better decisions about zoning, infrastructure and emergency planning. Today’s satellites, Bernabe-Moreno said, provide “an almost real-time picture of what is happening on Earth,” shifting the challenge from collecting data to interpreting it.
This push toward actionable intelligence also reflects a larger transformation in research culture. Major advances in Earth observation increasingly depend on open innovation — shared data, open-source tools and transparent models that allow global collaboration. “Open innovation in this field is key,” Bernabe-Moreno said, noting that NASA, ESA and IBM rely on openness to avoid the delays caused by lengthy IP negotiations.
Saudi Arabia has already embraced this direction. Through SDAIA, KAUST and national partnerships, the Kingdom is moving from consuming global research to actively contributing to it. Open geospatial AI models, researchers argue, give Saudi developers the ability to build highly localized applications adapted to the region’s climate realities and economic priorities.
Beyond Earth observation, IBM’s Zurich lab is pushing forward in another strategic frontier: quantum computing. Though still in its early stages, quantum technology could reshape sectors from logistics and materials science to advanced environmental modeling.
Alessandro Curioni, IBM Research VP for Europe and Africa and director of the Zurich lab, stressed that quantum’s value should not be judged by whether it produces artificial general intelligence. Rather, it should be viewed as a tool to expand human capability.
“The value of computing is not to create a second version of myself,” he said, “it’s to create an instrument that allows me to be super-human at the things I cannot do.”
Curioni sees quantum not as a replacement for classical computing but as an extension capable of solving problems too complex for traditional machines — from simulating fluid dynamics to optimizing vast, interdependent systems. But he cautioned that significant challenges remain, including the need for major advances in hardware stability and tight integration with classical systems. Once these layers mature, he said, “the sky is the limit.”
DID YOU KNOW?
• Modern satellites deliver near real-time views of Earth’s surface.
• Geospatial foundation models transform vast satellite datasets into clear, actionable insights.
• These tools can produce flood-risk maps for cities such as Riyadh, analyze how mangroves cool urban areas, and even detect illegal dumping sites.
Saudi Arabia’s investments in digital infrastructure, sovereign cloud systems and advanced research institutions position the Kingdom strongly for the quantum era when enterprise-ready systems begin to scale. Curioni noted that Saudi Arabia is already “moving in the right direction” on infrastructure, ecosystem development and talent — the three essentials he identifies for deep research collaboration.
His perspective underscores a broader shift underway: the Kingdom is building not only advanced AI applications but a scientific ecosystem capable of sustaining long-term innovation. National programs now include talent development, regulatory frameworks, high-performance computing, and strategic partnerships with global research centers. Researchers argue that this integrated approach distinguishes nations that merely adopt technology from those that ultimately lead it.
For individuals as much as institutions, the message from Zurich is clear. As Curioni put it, those who resist new tools risk being outpaced by those who embrace them. Generative AI already handles tasks — from literature reviews to data processing — that once required days of manual analysis. “If you don’t adopt new technologies, you will be overtaken by those who do adopt them,” he said, adding that the goal is to use these tools “to make yourself better,” not to fear them.
From geospatial AI to emerging quantum platforms, the work underway at IBM’s Zurich lab reflects technologies that will increasingly inform national planning and environmental resilience.
For a country like Saudi Arabia — balancing rapid development with climate uncertainty — such scientific insight may prove essential. As researchers in Switzerland design the tools of tomorrow, the Kingdom is already exploring how these breakthroughs can translate into sustainability, resilience and strategic advantage at home.
