Asia
Inside Singapore’s AI Bootcamp to Retrain 35,000 Bankers: Reshaping Asia’s Financial Future
When Kelvin Chiang presented his team’s agentic AI models to Singapore’s Monetary Authority, he knew he was demonstrating something unprecedented. What used to consume an entire workday for a private banker—compiling wealth reports, validating sources of funds, drafting compliance documents—now takes just 10 minutes. But before Bank of Singapore could deploy these tools across its wealth management division, Chiang’s data scientists had to walk regulators through every safeguard, every failsafe, and every human oversight mechanism designed to prevent the system from “hallucinating” false information.
The regulators didn’t push back. They embraced it.
That collaborative spirit between government and industry defines Singapore’s radically different approach to the AI transformation sweeping global banking. While financial institutions in the United States and Europe announce mass layoffs—Goldman Sachs warning of more job cuts as AI takes hold—Singapore is executing the world’s most ambitious banking workforce retraining program. DBS Bank, OCBC, and United Overseas Bank are retraining all 35,000 of their domestic employees over the next two years, a government-backed initiative that represents not just a skills upgrade, but a fundamental reimagining of what it means to work in financial services.
The Revolutionary Scale of Singapore’s AI Training Initiative
The numbers tell only part of the story. Singapore’s three banking giants are investing hundreds of millions in a training infrastructure that reaches from entry-level tellers to senior executives. But unlike generic technology upskilling programs that plague many organizations, this bootcamp targets specific, measurable competencies needed to work alongside autonomous AI systems.
Violet Chung, a senior partner at McKinsey & Company, identifies what makes this initiative unique: “The government is doing something about it because they realize that this capability and this change is actually infusing potentially a lot of fear.” That acknowledgment of worker anxiety—combined with proactive solutions rather than platitudes—sets Singapore apart from Western approaches that often prioritize shareholder returns over workforce stability.
The Monetary Authority of Singapore (MAS) isn’t just cheerleading from the sidelines. Deputy Chairman Chee Hong Tat, who also serves as Minister for National Development, has made workforce resilience a regulatory expectation. The message to banks is clear: deploy AI aggressively, but ensure your people evolve with the technology. Singapore’s National Jobs Council, working through the Institute of Banking and Finance, offers banks up to 90% salary support for mid-career staff reskilling—an unprecedented level of public investment in private sector workforce development.
Understanding Agentic AI: The Technology Driving the Transformation
To grasp why 35,000 bankers need retraining, you must first understand what agentic AI does differently than the chatbots and recommendation engines that preceded it.

Traditional AI systems respond to prompts. Ask a question, get an answer. Agentic AI, by contrast, pursues goals autonomously. According to research from Deloitte, these systems can plan multi-step workflows, coordinate actions across platforms, and adapt their strategies in real-time based on changing circumstances—all without constant human intervention.
Consider OCBC’s implementation. Kenneth Zhu, the 36-year-old executive director of data science and AI, oversees a lab where 400 AI models make six million decisions every single day. These aren’t simple calculations. The models flag suspicious transactions, score credit risk, filter false positives in anti-money laundering systems, and even draft preliminary reports that once consumed hours of compliance officers’ time.
At DBS Bank, an internal AI assistant now handles more than one million prompts monthly. The bank has deployed role-specific tools that reduce call handling time by up to 20%—not by replacing customer service staff, but by handling the tedious documentation and data retrieval that used to interrupt human conversations. Customer service officers now spend their time actually serving customers, while AI manages the administrative burden.
The source of wealth verification process at Bank of Singapore exemplifies agentic AI’s potential. Relationship managers previously spent up to 10 days manually reviewing hundreds of pages of client documents—financial statements, tax notices, property valuations, corporate filings—to write compliance reports. The new SOWA (Source of Wealth Assistant) system completes this same analysis in one hour, cross-referencing Bank of Singapore’s extensive database and OCBC’s parent company records to validate information plausibility.
Bloomberg Intelligence forecasts that DBS will generate up to S$1.6 billion ($1.2 billion) in additional pretax profit through AI-derived cost savings—roughly a 17% boost. These aren’t theoretical projections. DBS CEO Tan Su Shan reports the bank already achieved S$750 million in AI-driven economic value in 2024, with expectations exceeding S$1 billion in 2026.
Inside the Bootcamp: How 35,000 Bankers Are Actually Learning AI
The phrase “AI bootcamp” might conjure images of programmers teaching SQL queries. Singapore’s program looks nothing like that.
The curriculum divides into three tiers, each calibrated to job function and AI exposure level:
Tier 1: AI Literacy for Everyone (All 35,000 employees)
- Understanding what AI can and cannot do
- Recognizing AI-generated content and potential hallucinations
- Data privacy and security in AI contexts
- Ethical considerations when deploying automated decision-making
- Prompt engineering basics for interacting with AI assistants
Tier 2: AI Collaboration Skills (Frontline and Middle Management)
- Working with AI co-pilots for customer service
- Interpreting AI-generated insights and recommendations
- Overriding AI decisions when human judgment is required
- Monitoring AI system performance and reporting anomalies
- Translating customer needs into AI-friendly inputs
Tier 3: AI Development and Governance (Technical Teams and Senior Leaders)
- Model risk management frameworks
- Building and validating AI use cases
- Implementing responsible AI principles (fairness, explainability, accountability)
- Regulatory compliance for AI systems
- Strategic AI investment and ROI measurement
The Institute of Banking and Finance Singapore doesn’t just offer online modules. Through its Technology in Finance Immersion Programme, the organization partners with banks to create hands-on learning experiences. Participants work on actual banking challenges, developing practical skills rather than theoretical knowledge.
Dr. Jochen Wirtz, vice-dean of MBA programs at National University of Singapore, emphasizes the urgency: “Banks would be completely stupid now to load up on employees who they will then have to let go again in three or four years. You’re much better off freezing now, trying to retrain whatever you can.”
That philosophy explains why DBS has frozen hiring for AI-vulnerable positions while simultaneously training 13,000 existing employees—more than 10,000 of whom have already completed initial certification. Rather than the classic “hire-and-fire” cycle that characterizes American banking, Singapore pursues “freeze-and-train.”
The Human Reality: Fear, Adaptation, and Unexpected Opportunities
Not everyone welcomes their AI co-worker with open arms.
Bank tellers watching their branch traffic decline, back-office analysts seeing AI handle tasks they spent years mastering, relationship managers uncertain how to add value when machines draft perfect emails—the anxiety is real and justified. Singapore’s approach acknowledges these concerns rather than dismissing them.
Walter Theseira, associate professor of economics at Singapore University of Social Sciences, notes that banks are managing workforce transitions through “natural attrition rather than forced redundancies.” When employees retire, change roles internally, or move to other companies, banks increasingly choose not to backfill those positions. This gradual adjustment—combined with the creation of new AI-adjacent roles—softens the disruption.
The emerging job categories reveal how AI transforms rather than eliminates work:
- AI Quality Assurance Specialists: Testing AI outputs for accuracy, bias, and regulatory compliance
- Digital Relationship Managers: Handling complex wealth management with AI-generated insights
- Automation Process Designers: Identifying workflows suitable for AI augmentation
- Model Risk Officers: Ensuring AI systems operate within approved parameters
- Customer Experience Strategists: Designing human-AI interaction patterns
UOB has given all employees access to Microsoft Copilot while deploying more than 300 AI-powered tools across operations. OCBC reports that AI-assisted processes have freed up capacity equivalent to hiring 1,000 additional staff—capacity redirected toward higher-value customer interactions and strategic initiatives rather than eliminated.
One success story circulating in Singapore’s banking community involves a former transaction processor who completed the AI training program and now leads a team designing automated fraud detection workflows. Her deep understanding of payment patterns—knowledge that seemed obsolete when AI took over transaction processing—became invaluable when combined with technical AI literacy. She didn’t lose her job to automation; she gained leverage over it.
Singapore’s Regulatory Philosophy: Partnership Over Policing
What separates Singapore’s approach from virtually every other financial center is how its regulator, the Monetary Authority of Singapore, engages with AI deployment.
In November 2025, MAS released its consultation paper on Guidelines for AI Risk Management—a document that reflects months of collaboration with banks rather than top-down dictates imposed on them. The guidelines focus on proportionate, risk-based oversight rather than prescriptive rules that could stifle innovation.
MAS Deputy Managing Director Ho Hern Shin explained the philosophy: “The proposed Guidelines on AI Risk Management provide financial institutions with clear supervisory expectations to support them in leveraging AI in their operations. These proportionate, risk-based guidelines enable responsible innovation.”
The guidelines address five critical areas:
- Governance and Oversight: Board and senior management responsibilities for AI risk culture
- AI Risk Management Systems: Clear identification processes and accurate AI inventories
- Risk Materiality Assessments: Evaluating AI impact based on complexity and reliance
- Life Cycle Controls: Managing AI from development through deployment and monitoring
- Capabilities and Capacity: Building organizational competency to work with AI safely
Rather than banning certain AI applications, MAS encourages banks to experiment while maintaining rigorous documentation of safeguards. When Kelvin Chiang presented his agentic AI tools, regulators wanted to understand the thinking process, the oversight mechanisms, and the escalation protocols—not to obstruct deployment, but to ensure responsible implementation.
This collaborative regulatory stance extends to funding. Through the IBF’s programs, Singapore effectively subsidizes workforce transformation, recognizing that individual banks cannot bear the full cost of societal-scale reskilling. PwC research shows organizations offering AI training report 42% higher employee engagement and 38% lower attrition in technical roles—benefits that justify public investment.
MAS Chairman Gan Kim Yong, who also serves as Deputy Prime Minister, framed the imperative at Singapore FinTech Festival: “It is important for us to understand that the job will change and it’s very hard to keep the same job relevant for a long period of time. As jobs evolve, we have to keep the people relevant.”
The ROI Case: Why Massive AI Investment Makes Business Sense
Singapore’s banks aren’t retraining 35,000 workers out of altruism. The business case for AI transformation is overwhelming—provided the workforce can leverage it.
DBS CEO Tan Su Shan described AI adoption as generating a “snowballing effect” of benefits. The bank’s 370 AI use cases, powered by more than 1,500 models, contributed S$750 million in economic value in 2024. She projects this will exceed S$1 billion in 2026, representing a measurable return on years of investment in both technology and people.
The efficiency gains manifest across every banking function:
Customer Service: AI handles routine inquiries, reducing average response time while allowing human agents to focus on complex problems requiring empathy and judgment. DBS’s upgraded Joy chatbot managed 120,000 unique conversations, cutting wait times and boosting satisfaction scores by 23%.
Risk Management: OCBC’s 400 AI models process six million daily decisions related to fraud detection, credit scoring, and compliance monitoring—work that would require thousands of additional staff and still produce inferior results due to human attention limitations.
Wealth Management: AI-powered portfolio analysis and market insights allow relationship managers at private banks to serve more clients at higher quality. What once required a team of analysts now happens in real-time, personalized to each client’s specific situation.
Operations: Back-office processing that once consumed entire departments now runs largely automated, with humans focused on exception handling and quality assurance rather than manual data entry.
According to KPMG research, organizations achieve an average 2.3x return on agentic AI investments within 13 months. Frontier firms leading AI adoption report returns of 2.84x, while laggards struggle at 0.84x—a performance gap that could determine competitive survival.
The transformation isn’t limited to cost savings. DBS now delivers 30 million hyper-personalized insights monthly to 3.5 million customers in Singapore alone, using AI to analyze transaction patterns, life events, and financial behaviors. These “nudges”—reminding customers of favorable exchange rates, suggesting timely financial products, flagging unusual spending—drive engagement and revenue while genuinely helping customers make better decisions.
Global Context: How Singapore’s Model Differs from Western Approaches
The contrast with American and European banking couldn’t be starker.
JPMorgan Chase CEO Jamie Dimon speaks enthusiastically about AI’s opportunities while the bank deploys hundreds of use cases. Yet JPMorgan analysts project global banks could eliminate up to 200,000 jobs within three to five years as AI scales. Goldman Sachs continues warning employees to expect cuts. The narrative centers on efficiency gains and shareholder value, with workforce impact treated as an unfortunate but necessary consequence.
European banks face different pressures. Strict labor protections make large-scale layoffs difficult, but they also complicate rapid workforce transformation. Banks attempt gradual transitions through attrition, but without Singapore’s comprehensive retraining infrastructure, displaced workers often struggle to find equivalent roles.
Singapore’s model succeeds through three unique factors:
1. Government-Industry Alignment The close relationship between MAS, the National Jobs Council, and major banks enables coordinated action impossible in more fragmented markets. When Singapore decides workforce resilience matters, resources flow accordingly.
2. Social Contract Expectations Singapore’s three major banks operate with implicit understanding that their banking licenses come with social responsibilities. Massive layoffs would trigger regulatory and reputational consequences, creating strong incentives for workforce investment.
3. Manageable Scale With 35,000 domestic banking employees across three major institutions, Singapore can execute comprehensive training that would be logistically impossible for American banks with hundreds of thousands of global staff.
Harvard Business Review analysis suggests Singapore’s approach, while difficult to replicate exactly, offers lessons for other nations: establish clear regulatory expectations around workforce transition, provide financial support for retraining, create industry-specific training partnerships, and measure success not just by AI deployment speed but by workforce adaptation rates.
The 2026-2028 Horizon: What Comes Next
As Singapore approaches the halfway point of its two-year retraining initiative, early results suggest the model works—but also highlight emerging challenges.
DBS has already reduced approximately 4,000 temporary and contract positions over three years, while UOB and OCBC report no AI-related layoffs of permanent staff. The banking sector is discovering that AI changes job composition more than job quantity, at least in the medium term.
The next wave of transformation will test whether current training adequately prepares employees. Gartner forecasts that by 2028, agentic AI will enable 15% of daily work decisions to be made autonomously—up from essentially zero in 2024. As AI agents gain more autonomy, the human role shifts from executor to orchestrator, requiring even higher-order skills.
MAS is already considering how to hold senior executives personally accountable for AI risk management, recognizing that autonomous systems create novel governance challenges. The proposed framework would mirror the Monetary Authority’s approach to conduct risk, where individuals bear clear responsibility for failures.
Singapore is also grappling with an unexpected challenge: Singlish, the local English creole, creates complications for AI natural language processing. Models trained on standard English struggle with Singapore’s unique linguistic patterns, requiring localized AI development—which in turn demands more sophisticated training for local AI specialists.
The broader implications extend beyond banking. If Singapore succeeds in demonstrating that massive AI deployment can coexist with workforce stability through strategic retraining, it provides a template for other industries and nations facing similar disruptions.
McKinsey estimates that AI could put $170 billion in global banking profits at risk for institutions that fail to adapt, while pioneers could gain a 4% advantage in return on tangible equity—a massive performance gap. Singapore’s banks, with their AI-literate workforce, position themselves firmly in the pioneer category.
Lessons for the Global Banking Industry
Singapore’s AI bootcamp experiment offers actionable insights for financial institutions worldwide:
Start with Culture, Not Technology: The most sophisticated AI fails if employees resist or misuse it. Comprehensive training that addresses fears and demonstrates value creates buy-in impossible to achieve through top-down mandates.
Partner with Government: Workforce transformation at this scale exceeds individual firms’ capacity. Public-private partnerships can distribute costs while ensuring industry-wide capability building.
Measure What Matters: Singapore tracks not just AI deployment metrics but workforce adaptation rates, employee satisfaction with AI tools, and the emergence of new hybrid roles. These human-centric measures predict long-term success better than pure technology KPIs.
Reimagine Rather Than Replace: The most successful AI implementations augment human capabilities rather than substituting for them. Relationship managers with AI insights outperform both pure humans and pure machines.
Invest in Adjacent Capabilities: AI literacy alone isn’t enough. Workers need complementary skills—critical thinking, emotional intelligence, creative problem-solving—that AI cannot replicate but can amplify.
Create New Career Paths: As traditional roles evolve, new opportunities in AI quality assurance, model risk management, and human-AI experience design create advancement paths for ambitious employees.
Accept Gradual Transition: Singapore’s two-year timeline, with flexibility for individual banks to move faster or slower based on their readiness, acknowledges that workforce transformation cannot be rushed without creating unnecessary disruption.
The Verdict: A Model Worth Watching
As the financial world watches Singapore’s unprecedented experiment, the stakes extend far beyond one nation’s banking sector. The question isn’t whether AI will transform banking—that transformation is already underway. The question is whether that transformation must inevitably create massive worker displacement, or whether strategic intervention can enable human adaptation at the pace of technological change.
Singapore bets on the latter possibility. By retraining all 35,000 domestic banking employees, by creating robust public-private partnerships, by developing comprehensive curricula that address both technical skills and existential anxieties, the city-state attempts to prove that the future of work doesn’t have to be a zero-sum battle between humans and machines.
Early returns suggest the model works. Banks report measurable productivity gains without mass layoffs. Employees initially resistant to AI training increasingly embrace it as they discover enhanced rather than diminished job prospects. Regulators fine-tune an approach that enables innovation while maintaining safety.
Yet challenges remain. Can retraining keep pace with accelerating AI capabilities? Will the job categories being created prove as numerous and lucrative as those being transformed? What happens to workers who cannot or will not adapt, despite comprehensive support?
These questions lack definitive answers. What Singapore demonstrates beyond doubt is that workforce transformation of this magnitude is possible—that major financial institutions can deploy cutting-edge AI aggressively while simultaneously investing in their people’s futures.
When historians eventually assess the AI revolution’s impact on work, Singapore’s banking sector bootcamp may be remembered as either a successful proof of concept that other nations and industries replicated, or as an admirable but ultimately isolated experiment that proved impossible to scale beyond a small, tightly integrated economy.
The next two years will tell us which.
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Analysis
Singapore-Australia LNG Pact: The Indo-Pacific’s Most Important Energy Deal of 2026
Singapore and Australia’s legally binding LNG and diesel supply agreement is rewriting Indo-Pacific energy security. Here’s why this deal matters far beyond both nations’ borders.
When Lawrence Wong stood at the Istana on Friday morning alongside Anthony Albanese and declared that this pact was “not just about managing today’s crisis, but about building trusted supply lines for a more uncertain future,” he was doing something that most politicians in 2026 conspicuously avoid: telling the complete truth. Strip away the diplomatic language, the handshakes, and the hard-hat photo opportunity at Jurong Island’s LNG terminals, and what you find underneath is something quietly historic. Two middle powers — one the world’s premier trading entrepôt, the other its third-largest LNG exporter — have decided that in an era defined by chokepoint warfare, legal commitments to energy supply are worth more than the paper they’re printed on. They may be right. And the rest of the Indo-Pacific should be paying close attention.
Why the Strait of Hormuz Has Changed Everything
To understand what Singapore and Australia agreed to on April 10, 2026, you have to first understand the world they woke up to in early March.
Until the U.S.–Israeli war against Iran, the Strait of Hormuz was open and roughly 25% of the world’s seaborne oil trade and 20% of global LNG passed through it. Wikipedia That calculus collapsed with terrifying speed. Iran’s closure of the Strait of Hormuz disrupted 20% of global oil supplies and significant LNG volumes, sending Brent crude surging past $120 per barrel and forcing QatarEnergy to declare force majeure on all exports. Wikipedia The head of the International Energy Agency called it “the greatest global energy security challenge in history.” Wikipedia
The numbers since have only grown more alarming. Dated Brent hit an 18-year high of $141.26 per barrel on April 2 MEES, while diesel prices are forecast to peak at more than $5.80 per gallon in April and average $4.80 per gallon through 2026 U.S. Energy Information Administration — devastating for the farming and mining sectors that underpin Australia’s export economy. Meanwhile, LNG spot prices in Asia more than doubled to three-year highs, reaching $25.40 per million British thermal units as QatarEnergy declared force majeure at Ras Laffan — the world’s largest liquefaction facility, responsible for 20% of global LNG production. Wikipedia

For Singapore, the crisis landed particularly hard. Singapore and Taiwan depend more on Qatari LNG than most Asian economies, Wikipedia and production at Singapore’s Jurong Island refineries has been limited because most of the oil processed there comes via the Strait of Hormuz. NEOS KOSMOS For Australia, the problem runs in the opposite but equally dangerous direction: Australia imports more than 80 percent of its petrol, diesel, and jet fuel from overseas, mostly from South Korea, Singapore, Japan, Taiwan, and Malaysia. The Diplomat A nation that sells the world its gas but can barely refine enough diesel to power its own tractors — that is the paradox at the heart of Australian energy policy, and it has never been more exposed than it is today.
The Architecture of the Singapore–Australia Legally Binding Energy Agreement
What Was Actually Agreed — and Why “Legally Binding” Matters
The joint statement issued by both prime ministers goes considerably further than the March pledge. Both leaders directed their ministers to conclude a legally binding Protocol to the Singapore-Australia Free Trade Agreement (SAFTA) on Economic Resilience and Essential Supplies, and welcomed the establishment of an Australia–Singapore Economic Resilience Dialogue, co-chaired by senior officials, to facilitate cooperation on economic resilience challenges and trade in essential supplies. Ministry of Foreign Affairs Singapore
This is not, as cynics might dismiss it, a diplomatic press release dressed in legalese. Embedding supply commitments into a protocol to an existing free trade agreement gives them treaty-level standing. In a world where spot market bidding wars are already erupting, with LNG suppliers becoming increasingly selective in negotiating mid- to long-term volumes because it’s more lucrative to sell into the spot market, Bloomberg having legal standing to demand preferential access is not a soft power gesture — it is hard economic architecture.
The underlying trade logic is elegant precisely because it is symmetrical. More than a quarter of all fuel imported into Australia comes from Singapore, while Australia provides about one-third of the city-state’s LNG supply. The Daily Advertiser Albanese articulated it plainly: “We are a big supplier of LNG to Singapore. Singapore is a really important refiner of our liquid fuels. This is a relationship of very substantial mutual economic benefit.” Both countries agreed to “make maximum efforts to meet each other’s energy security needs.” Yahoo!
The genius of this structure is that neither country is doing a favour. They are executing a swap — Australian gas for Singaporean refined products — and now writing that swap into binding international law before the next crisis hits.
What It Does Not (Yet) Do
Intellectual honesty requires acknowledging the limits. The joint statement contains no specific shipment volumes, no price-fixing mechanism, no explicit strategic reserve sharing agreement, and no stated timeline for when the SAFTA protocol will be concluded. “Working quickly” is a political phrase, not a procurement schedule.
The more fundamental challenge is Singapore’s refinery throughput. An LNG tanker can cost $250 million, and insurance concerns alone mean operations cannot simply be ramped up and down based on perceived escalations or de-escalations. CNBC Singapore is committed — but commitment is not the same as capacity. If the Strait of Hormuz remains closed into the northern hemisphere summer, Singapore’s refineries will be processing less crude regardless of which bilateral agreements are in place.
The Indo-Pacific Energy Security Realignment — China’s Shadow and AUKUS Synergy
A Geopolitical Sorting Process Is Underway
On March 4, the IRGC announced that the strait is closed to any vessel going “to and from” the ports of the U.S., Israel, and their allies. Subsequently, reports emerged that Iran would allow only Chinese vessels to pass through the strait, citing China’s supportive stance towards Iran. Wikipedia Read that sentence twice, slowly. This is not an energy story. This is a geopolitical sorting machine, restructuring the global energy map along lines of political alignment.
Australia and Singapore are unmistakably on one side of that divide. Both are Quad-adjacent, both are democracies with deep security ties to Washington, and both are now accelerating energy arrangements with each other precisely because they cannot rely on the Gulf supply corridor that Beijing is quietly privileged to use. The Singapore–Australia critical supplies pact 2026 is, in this light, a de facto statement about which bloc each country is wagering its energy future on.
This is the AUKUS undertow that neither government will name explicitly in polite company. The defence partnership’s security architecture and the energy partnership announced Friday are two different expressions of the same strategic logic: when the chips are down, trust the relationship, not the market.
Europe’s Cautionary Tale — and Australia’s Strategic Leverage
Europe is expected to suffer a second energy crisis primarily as a result of the suspension of Qatari LNG and the closure of the Strait of Hormuz. The conflict coincided with historically low European gas storage levels — estimated at just 30% capacity following a harsh 2025–2026 winter — causing Dutch TTF gas benchmarks to nearly double to over €60 per megawatt-hour by mid-March. Wikipedia
Europe’s tragedy — and it is genuinely tragic — is that it spent two years after Russia’s Ukraine invasion congratulating itself on diversification while not actually completing it. Gas storage went into the 2025–2026 winter at dangerous levels. Long-term LNG contract structures were renegotiated upward at the worst possible moment. The continent is now bidding against Asia for every available cargo on the spot market at prices that are genuinely destabilising.
Australia’s decision to negotiate supply agreements bilaterally — not just with Singapore but reportedly with Brunei, China, Indonesia, Japan, Malaysia, and South Korea — reflects a hard-won lesson from Europe’s misadventure: energy resilience is relational, not just infrastructural. Pipes and terminals matter, but so does the phone call at 3 a.m. when a chokepoint closes. Australia has spent four years building those relationships; it is now cashing them in.
As Australian Assistant Foreign Affairs Minister Matt Thistlethwaite put it: “We’ve got that advantage in that we can work with our neighbours in the Asia-Pacific to ensure that they have access to their energy needs and we get access to ours.” The Diplomat That is, in essence, the diplomatic theory of the LNG diesel supply chain security Singapore-Australia agreement: Canberra’s natural gas wealth is being converted into political insurance, denominated in refined fuel.
Why This Model Could Become the Template for Indo-Pacific Energy Diplomacy
Beyond the Free Trade Agreement — A New Class of Instrument
The standard toolkit of bilateral trade diplomacy — tariff schedules, most-favoured-nation status, investor protection clauses — was designed for a world where supply disruptions were rare, short, and solvable by price signals. The 2026 Hormuz crisis has exposed that assumption as dangerously complacent.
What the Singapore–Australia agreement proposes is something genuinely novel: a crisis-contingent preferential supply protocol, embedded within an FTA architecture but explicitly activated under conditions of global disruption. The Australia–Singapore Economic Resilience Dialogue, co-chaired at senior official level, gives this framework an institutional nervous system — a standing mechanism for early consultation and coordinated response rather than improvised crisis management.
This is the architecture Europe wishes it had built with its LNG suppliers after 2022. It is the architecture Japan and South Korea are now, belatedly, also pursuing. South Korea holds about 3.5 million tons of LNG and Japan around 4.4 million tons in reserves — enough for roughly two to four weeks of stable demand, CNBC a buffer that a single disrupted cargo schedule can obliterate. Bilateral resilience protocols of the Singapore–Australia variety provide the diplomatic scaffolding around which physical stockpile strategies must now be built.
Trusted Supply Lines: The New Competitive Advantage
Wong’s phrase — “trusted supply lines” — is going to echo through energy ministries across the Indo-Pacific for years. The word choice is deliberate. Trusted is not cheap or close or abundant. It is a relational category, not a logistical one. And in a global energy market being restructured by geopolitical conflict, relational trust is becoming the scarce commodity.
Wong was explicit: “We do not plan to restrict exports. We didn’t have to do so even in the darkest days of COVID and we will not do so during this energy crisis. I am confident that Australia and Singapore will not just get through the crisis, but we will emerge stronger and more resilient.” The Daily Advertiser That is a political commitment of the first order — a small city-state with no hinterland, surrounded by a global disruption, choosing not to hoard. It is worth more than any contract clause.
Data Snapshot: The Interdependence That Makes This Pact Work
| Flow | Volume | Significance |
|---|---|---|
| Australia → Singapore (LNG) | ~39.4% of Singapore’s LNG supply (2024) | Singapore’s largest single LNG source |
| Singapore → Australia (refined fuels) | >26% of Australia’s total fuel imports | Australia’s largest refined fuel supplier |
| Singapore → Australia (petrol) | >50% of Australia’s petrol intake | Critical for road and agricultural sectors |
| Global LNG through Hormuz | ~20% of global LNG trade | Now disrupted; Qatar’s Ras Laffan offline |
| Brent crude peak (April 2026) | $141.26/barrel (April 2 high) | 18-year high; compressing refinery margins |
The numbers tell a story of mutual exposure that makes this deal not merely politically desirable but economically unavoidable. Both economies would suffer severely without each other’s supply; the pact simply converts that mutual dependence into a formal and enforceable commitment.
Forward Look: Three Bold Predictions
First: The Singapore–Australia protocol will be concluded within 90 days and will serve as the explicit template for at least two additional bilateral energy resilience agreements in the Indo-Pacific — most likely involving Japan and either South Korea or New Zealand — by the end of 2026. The institutional architecture of the Economic Resilience Dialogue is designed to be replicated.
Second: The Hormuz crisis will accelerate Australia’s long-stalled domestic refining debate. Having 80% of your liquid fuel supply dependent on overseas refiners — however trusted — is a structural vulnerability that no bilateral agreement can fully paper over. Expect a serious federal government investment framework for domestic refining capacity to emerge within 18 months, framed explicitly as national security infrastructure.
Third: China is watching this closely and will not be idle. Beijing already enjoys de facto preferential passage through the Strait for its tankers. If it perceives that a Singapore–Australia–Japan energy axis is forming along security-aligned lines, it will accelerate its own bilateral energy lock-in arrangements with alternative suppliers — deepening the global energy bifurcation that began in 2022 and is now accelerating at pace. The Indo-Pacific energy security agreement between Wong and Albanese is not just a supply pact. It is an early data point in the restructuring of the global energy order.
Conclusion: A Small Pact With a Very Large Shadow
There is something almost anachronistic about two democracies in 2026 sitting down together and saying, plainly, that they will keep trade flowing — that they will not weaponise energy in the way that others have. It is the kind of statement that would have seemed unremarkable in 2015. Today it feels almost radical.
The Singapore–Australia LNG and diesel agreement signed at the Istana is, in its immediate terms, a sensible and well-constructed piece of crisis diplomacy. In its deeper terms, it is a proof of concept: that trusted bilateral relationships, properly institutionalised, can serve as genuine shock absorbers in a world where the multilateral system is fraying and chokepoints are being used as weapons.
PM Wong called it a “simple but critical principle.” He is right on both counts. Simple principles, rigidly held under pressure, are often the most valuable ones. And right now, in a global energy market that has been turned upside down in six weeks, the principle that allies keep their promises to each other may be the most critical thing the Indo-Pacific has.
The rest of the world’s energy ministers should take note — and consider what it would mean to have nobody to call when their own Hormuz moment arrives.
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Analysis
Beyond the Strait: Why Global Trade Is Learning to Live Without Hormuz
There is a peculiar irony embedded in the current catastrophe. The Strait of Hormuz, that 34-kilometre sliver of contested water between Iran and Oman, is right now the most consequential geography on earth. Brent crude briefly touched $126 a barrel in March 2026 — its highest level in four years — as tanker traffic through the strait collapsed toward zero, Iranian drones struck Fujairah’s storage tanks, and Washington threatened to “obliterate” Iranian power plants unless shipping resumed within 48 hours. The head of the International Energy Agency, Fatih Birol, called it the largest supply disruption in the history of the global oil market. He is probably right.
And yet, the thesis this crisis appears to confirm — that the Strait of Hormuz is an eternal, irreplaceable artery of civilisation — is precisely the thesis that the crisis itself is demolishing. Pain concentrates the mind. When 150 tankers anchored off Fujairah and the world scrambled for alternatives, it exposed not just the Strait’s centrality but the desperate fragility of any system built around a single chokepoint. The question that matters is not “how do we get oil through Hormuz today?” It is the one no panicked government in a war room is asking: “Will we still need to?”
The answer, over the arc of the next two decades, is increasingly no. And understanding why requires looking not at what is flowing through the Strait right now, but at what is flowing around it — in pipelines, rail corridors, liquefied natural gas tankers from Louisiana and Alberta, and electrons streaming through intercontinental fibre cables.
The Chokepoint That Could Never Be Replaced — Until It Suddenly Must Be
The numbers are genuinely staggering. According to the IEA, an average of 20 million barrels per day of crude and petroleum products transited the Strait in 2025 — representing roughly 25% of all seaborne oil trade and about 20% of global petroleum liquids consumption. Five countries — Iraq, Kuwait, Qatar, Bahrain, and Iran — have no meaningful pipeline bypass infrastructure whatsoever. The EIA estimates that roughly 14 million barrels per day are structurally locked to the maritime passage with no alternative route to global markets. Qatar and the UAE together account for nearly 20% of global LNG exports, almost all of it transiting Hormuz. Even fertiliser — that unglamorous linchpin of food security — flows through in quantity, representing up to 30% of internationally traded supply.
This dependency did not arise from carelessness. It arose from geology, economics, and decades of compounding infrastructure decisions. The Persian Gulf states sit atop the world’s most concentrated reserves, and the Strait is simply the only door out of the room. You cannot argue yourself out of geography.
But geography is only the stage. What plays out on it is a function of technology, capital, political will, and time. On all four dimensions, the structural case for Hormuz’s long-term indispensability is weakening — faster than most analysts, trapped in the urgent present, are willing to acknowledge.
The Energy Transition Is Not a Political Slogan. It Is a Supply Curve.
Start with demand. The IEA’s Oil 2025 report projects that demand for oil from combustible fossil fuels — the stuff that actually moves through tankers and pipelines — may peak as early as 2027. Global oil demand overall is forecast to reach a plateau around 105.5 million barrels per day by 2030, with annual growth already slowing from roughly 700,000 barrels per day in 2025–26 to a near-trickle thereafter. China — which absorbed more than two-thirds of global oil demand growth over the past decade and whose appetite once seemed boundless — is on track to see its oil demand peak before 2030, driven by an extraordinary surge in electric vehicle adoption, high-speed rail expansion, and structural economic rebalancing.
The numbers on clean energy investment are equally telling. In 2025, clean energy investment — renewables, nuclear, grids, storage, and electrification — reached roughly $2.2 trillion, twice the $1.1 trillion flowing to oil, natural gas, and coal combined. Global investment in data centres alone is expected to hit $580 billion in 2025, surpassing the entire annual budget for global oil supply. The energy system that those data centres will eventually run on is solar, wind, and nuclear — not crude from Kharg Island.
None of this means oil demand collapses overnight. The IEA’s Current Policies Scenario, restored in the 2025 World Energy Outlook, projects that global oil could continue growing until 2050 under today’s policy settings — a sobering reminder that transition is a trajectory, not a switch. But “trajectory” is the operative word. The direction is unambiguous. Every electric vehicle on the road — and the global EV fleet is projected to grow sixfold by 2035 in the IEA’s Stated Policies Scenario — is a barrel of oil that will never load onto a tanker and never transit the Strait of Hormuz. At scale, those barrels accumulate into a structural reduction in the Strait’s gravitational pull on global commerce.
The Corridors Rising in the Strait’s Shadow
Even before a single barrel of oil demand falls permanently, the physical architecture of global trade is being redrawn by corridors that deliberately circumvent Hormuz and its neighbourhood.
The most ambitious is the India-Middle East-Europe Economic Corridor (IMEC), which received a significant boost when President Trump and Prime Minister Modi jointly declared it “one of the greatest trade routes in all of history” in February 2025. A landmark EU-India trade deal signed in January 2026 further accelerated IMEC’s momentum, with construction on key rail, port, and highway segments having commenced in April 2025. IMEC is not just an oil bypass. It is a multimodal corridor linking Indian Ocean shipping to Gulf rail networks to Mediterranean ports — carrying container cargo, digital infrastructure (fibre cables), and clean energy flows. For the Gulf states, it represents something strategically profound: a pathway to becoming trade and green energy hubs rather than merely hydrocarbon exporters.
Turkey, meanwhile, is positioning itself as the indispensable energy corridor for a post-Hormuz world. Turkish Energy Minister Alparslan Bayraktar cited the Kirkuk-Ceyhan pipeline’s 1.5 million barrel-per-day capacity as a viable alternative, while flagging longer-term concepts including Qatari gas reaching Europe via Turkish pipeline infrastructure. TurkStream gas flows to Europe rose 22% year-on-year in March 2026, even as Hormuz choked. The current crisis is not disrupting Turkey’s corridor ambitions. It is turbocharging them.
Then there is LNG — the great wildcard in global energy trade. The very nature of liquefied natural gas makes it geographically flexible in a way that crude oil pipelines never can be. A cargo of LNG can load in Sabine Pass, Louisiana, and deliver to Tokyo, Marseille, or Mumbai, entirely indifferent to what happens in any given strait. New LNG projects surged in 2025, with approximately 300 billion cubic metres of new annual export capacity expected to come online by 2030 — a 50% increase — with roughly half being built in the United States. American LNG, arriving in Asia and Europe via the Atlantic and Pacific rather than the Persian Gulf, is quietly restructuring the energy map. When Qatari LNG is stranded behind a closed Hormuz, a cargo from Corpus Christi feels not like a supplement but like a successor.
What the Crisis Is Actually Teaching Us
Here is what the 2026 crisis reveals in sharp relief: the system’s Achilles heel is not the Strait itself, but the failure to invest seriously in alternatives before the emergency.
Saudi Arabia’s East-West pipeline (Petroline) reportedly has design capacity of up to 7 million barrels per day, yet was running at only 2 million barrels per day as of early 2026 — meaning five million barrels of daily bypass capacity sat idle for years due to infrastructure bottlenecks and the absence of political urgency. The UAE’s ADCOP pipeline to Fujairah, capable of 1.8 million barrels per day, is similarly underutilised — and its terminal has now been struck by drones. Iraq’s southern fields, which produce the bulk of its exportable crude, have no meaningful inland pipeline connection to the northern Kirkuk-Ceyhan route. Roughly 14 million barrels per day remain structurally dependent on a waterway that Iran can threaten to close — and periodically does.
The lesson is not that alternatives are impossible. It is that alternatives require decades of sustained political commitment to mature. The countries now scrambling are paying the compound interest on decisions deferred since 2019, when Houthi drones struck Aramco’s facilities and the world briefly panicked before moving on. The world should not move on this time.
The Digital Trade Revolution: Routes Without Geography
There is a third dimension to this shift that rarely appears in energy columns, because it is invisible, weightless, and does not require a tanker: the explosive growth of digital trade and the services economy.
Digital commerce — software, financial services, intellectual property, telemedicine, AI-enabled business services — now accounts for a substantial and rapidly growing share of global economic value. It flows through submarine cables and spectrum, not through straits. IMEC’s digital pillar — a network of new intercontinental fibre-optic cables — is explicitly designed to create an alternative data corridor that bypasses choke geographies entirely. As the share of economic activity that is digital continues to expand — accelerated by AI, remote work, and platform economies — the share of global GDP that depends on physical chokepoints like the Strait of Hormuz will shrink, structurally and inexorably.
This is not a utopian projection. It is already happening. India’s digital services exports exceeded $200 billion in 2025. Southeast Asian e-commerce platforms transact trillions annually. None of it cares whether tankers can get through 34 kilometres of contested Gulf waters.
Recommendations for Policymakers: The Strategic Imperatives
The 2026 crisis is a forcing function. The question is whether governments will use it. Here is what they should do:
Accelerate pipeline bypass capacity in the Gulf. Saudi Arabia should fast-track the Petroline to its announced 7 million barrel-per-day capacity and actively negotiate with Iraq and Kuwait to begin engineering — not just discussing — northern corridor alternatives. The infrastructure gap between design capacity and utilised capacity is, at this moment, unconscionable.
Fund IMEC, not just endorse it. India has yet to establish a dedicated implementing body or commit specific funds to IMEC. That must change. The corridor needs a multilateral financing mechanism — modelled on the Bretton Woods institutions but purpose-built for twenty-first-century connectivity — not merely high-level communiqués.
Accelerate the LNG diversification that already works. The U.S., Canada, Australia, and Qatar (where pipeline exports to Turkey could reduce Hormuz dependency) should be treated as a strategic consortium for global energy security. New LNG infrastructure approvals should be fast-tracked under energy security frameworks.
Price the risk of Hormuz dependency into investment decisions. Insurers and sovereign wealth funds should be required to model Hormuz-closure scenarios in energy asset valuations. The underpricing of chokepoint risk — as this crisis has devastatingly illustrated — is a market failure with systemic consequences.
Invest in demand-side transition with strategic urgency. Every percentage-point reduction in global oil demand reduces Hormuz’s leverage over the world economy. EV incentives, renewable energy deployment in emerging economies, and energy efficiency standards are not merely climate policies. They are geopolitical risk management.
The Arc of the Argument
Crises have a way of feeling permanent in their midst. The 1973 oil embargo reshaped energy policy for a generation. The 1979 Iranian revolution convinced analysts that Persian Gulf dependency was an eternal condition of industrial civilisation. Neither prognosis proved correct. Alternatives emerged. Technologies shifted. Demand patterns evolved.
The 2026 Hormuz crisis is the most serious test of the global energy system since the 1970s. The World Economic Forum’s Global Risks Report 2026 already identifies geoeconomic confrontation as a key driver reshaping global supply chains, noting that “securing access to critical inputs is increasingly being treated as a matter of economic and national security.” Governments and industries are hearing that message with a clarity that previous near-misses never produced.
The Strait of Hormuz will matter enormously for years — perhaps decades — to come. To claim otherwise would be to misread the current data. But its structural importance to the global economy is on a long, slow, inexorable decline, driven by the energy transition, the rise of alternative corridors, the geography-defying nature of digital commerce, and the hardwired human instinct to find another road when the old one is blocked.
The future of global trade will not be decided in the narrow waters between Oman and Iran. It will be decided in solar farms in Rajasthan, LNG terminals in Louisiana, fibre cable landing stations in Haifa and Marseille, and EV factories in Hefei. The chokepoint is a reminder of where we came from. What we build next determines where we go.
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Analysis
When Rivals Share a Rocket: The China-Europe SMILE Mission and the Fragile Promise of Space Science Diplomacy
On April 9, a European rocket will lift a Chinese-European spacecraft into orbit from the jungle coast of French Guiana. In a world tearing itself apart over chips, trade routes, and strategic chokepoints, this is not nothing.
The Countdown the World Isn’t Watching — But Should Be
At 08:29 CEST on April 9, 2026, an Avio-built Vega-C rocket — designated mission VV29, the first Vega-C flight operated by Avio Avio — will ignite its first-stage engines at Europe’s Spaceport in Kourou, French Guiana. Riding atop it will be SMILE: the Solar wind Magnetosphere Ionosphere Link Explorer, a 2,250-kilogram spacecraft nearly a decade in the making. The mission is a joint undertaking between the European Space Agency (ESA) and the Chinese Academy of Sciences (CAS) — and it is, by any reasonable measure, the most symbolically weighted space launch of 2026.
Not because of its destination. Not because of the science alone, though the science is genuinely groundbreaking. But because of what it represents at this particular moment in history: two of the world’s major technology powers, locked in an increasingly fraught geopolitical relationship, sharing data, sharing hardware, and sharing a launchpad.
SMILE is China’s first mission-level, fully comprehensive in-depth cooperation space science exploration mission with ESA GitHub — a statement that, when you sit with it, reveals how exceptional this collaboration actually is. After years of US-led pressure to isolate Chinese space activities, after the Wolf Amendment that has effectively banned NASA from bilateral cooperation with China since 2011, after wave after wave of technology export restrictions, here is a European rocket carrying instruments built simultaneously in Leicester and Beijing, tested jointly in the Netherlands, fuelled in Kourou, and aimed at a shared scientific horizon.
This is worth examining closely — not with naïve optimism, but with clear eyes.
What SMILE Actually Does, and Why It Matters
Before the geopolitics, the science — because the science is the point, and it deserves more serious attention than it typically receives in the English-language press.
Earth is constantly bombarded by gentle streams — and occasionally stormy bursts — of charged particles from the Sun. Luckily, a massive magnetic shield called the magnetosphere stops most of these particles from reaching us. If it weren’t for the magnetosphere, life could not survive on planet Earth. ESA
SMILE’s purpose is to give humanity its first comprehensive, simultaneous, global view of how that shield actually works — how it bends, buckles, and recovers under the assault of solar wind and coronal mass ejections (CMEs). Although several spacecraft have observed the effects of the solar wind and coronal mass ejections on Earth’s magnetic shield, they have mostly done so piecemeal ESA, through point measurements that are a bit like trying to understand a hurricane by sticking your hand out a single window.
SMILE changes that. The mission is a novel self-standing effort to observe the coupling of the solar wind and Earth’s magnetosphere via X-ray imaging of the solar wind-magnetosphere interaction zones, UV imaging of global auroral distributions, and simultaneous in-situ solar wind, magnetosheath plasma and magnetic field measurements. SPIE Digital Library
The four instruments it carries — the Soft X-ray Imager (SXI) built at the University of Leicester, a UV Aurora Imager, a Light Ion Analyser, and a Magnetometer — will work in concert from a highly inclined, highly elliptical orbit, with an apogee of 121,000 km and a perigee of 5,000 km. Avio From that sweeping vantage, SMILE will watch in real time as solar storms slam into Earth’s magnetic bubble, deform its boundaries, and trigger the geomagnetic disturbances we call space weather.
The Economic Stakes of Space Weather
Here is where the science becomes urgently, uncomfortably practical.
A severe geomagnetic storm — the kind triggered by a powerful CME — can induce electrical currents in long-distance transmission lines powerful enough to melt transformer cores. It can cripple GPS satellites, knock out shortwave radio communications, accelerate the degradation of satellite hardware, and expose astronauts to dangerous radiation doses. The Carrington Event of 1859 — the largest geomagnetic storm in recorded history — set telegraph offices on fire and produced auroras visible from the Caribbean.
Were a Carrington-scale event to strike the modern infrastructure-dependent world, the consequences would be catastrophic. Lloyd’s of London has estimated that a severe geomagnetic storm striking North America could leave between 20 and 40 million people without power for periods ranging from weeks to years, at a cost that would run into the trillions. The May 2024 geomagnetic storm — the most powerful in two decades — disrupted GPS signals and degraded satellite operations across the globe, offering a modest preview of what a truly extreme event might look like.
Better forecasting requires better physics. And better physics requires exactly what SMILE is designed to provide: a complete, global picture of how the magnetosphere actually responds to solar assault. By improving our understanding of the solar wind, solar storms and space weather, SMILE will fill a stark gap in our understanding of the Solar System and help keep our technology and astronauts safe in the future. ESA
A Mission Born in a Different World
The story of how SMILE came to be is, in itself, a small geopolitical parable.
The SMILE project was selected in 2015 out of 13 other proposals, and became the first deep mission-level cooperation between the European Space Agency and China. Orbital Today It was conceived when relations between China and the West, while not without tension, still operated under a broadly cooperative logic — when the prevailing assumption in Brussels and Beijing alike was that economic interdependence would gradually soften political friction and that scientific collaboration was a relatively safe space for engagement.
The Principal Investigators were Graziella Branduardi-Raymont from Mullard Space Science Laboratory, University College London, and Chi Wang from the State Key Laboratory of Space Weather at NSSC, CAS. ESA
What strikes me most about this pairing is its elegance and its tragedy. Professor Branduardi-Raymont — who, it should be noted, passed away in November 2023 after a lifetime of X-ray astronomy — had spent decades frustrated that no existing observatory could directly image X-ray emission from Earth’s magnetosphere. Her perseverance eventually produced this mission. She did not live to see its launch. But her instrument, built at the University of Leicester and calibrated with painstaking care across multiple European institutions, will fly on April 9 in the spacecraft she helped conceive. There is something moving in that continuity.
Professor Chi Wang, her Chinese counterpart, continued the work — a collaboration that survived COVID-era isolation, supply chain disruptions, and the gathering chill of US-China technology competition.
The SMILE mission entered full launch implementation phase after passing the joint China-Europe factory acceptance review on October 28, 2025. At the end of November 2025, the propellant required for the satellite departed from Shanghai, arriving at Kourou port in early February 2026. CGTN
On February 11, 2026, the flight model and ground support equipment departed from ESTEC in the Netherlands, sailing across the Atlantic from Amsterdam port aboard the cargo vessel Colibri, arriving at Kourou port on February 26, 2026, and being successfully transferred to the launch site. CGTN
That detail — a cargo ship named Colibri, sailing from Amsterdam to French Guiana carrying a satellite built in two countries on opposite ends of the Eurasian continent — is, to me, the most vivid emblem of what scientific cooperation can accomplish when given enough time, enough stubbornness, and enough shared wonder.
Europe’s Delicate Balancing Act
The launch of SMILE does not occur in a geopolitical vacuum. It occurs at a moment when Europe’s relationship with both China and the United States has become extraordinarily complex.
Washington has grown increasingly vocal about the risks of European technological cooperation with Beijing. The US-China Economic and Security Review Commission has flagged joint space missions as a potential vector for technology transfer. The US Space Force has publicly warned allies about sharing sensitive sensor data with Chinese partners. And while SMILE is a pure science mission — studying solar-terrestrial physics, not military reconnaissance — the distinction between civilian and dual-use space technology is one that Washington now views with considerable scepticism.
ESA, for its part, has walked this line with notable care. ESA Director General Josef Aschbacher confirmed SMILE’s launch timeline in January 2025, framing the mission squarely within the agency’s Cosmic Vision scientific programme — an agenda governed by scientific merit, not geopolitical alignment. “Building on the 24-year legacy of our Cluster mission,” said ESA Director of Science Prof. Carole Mundell, “SMILE is the next big step in revealing how our planet’s magnetic shield protects us from the solar wind.” ESA
That framing matters. ESA is positioning SMILE not as a concession to Beijing, but as the natural scientific successor to decades of European magnetospheric research — a mission that happens to have a Chinese partner because the Chinese partner brought the best science proposal to the table in 2015.
Strategic Autonomy in Orbit
Europe’s Strategic Autonomy agenda — the drive to reduce dependency on both American and Chinese platforms — finds an interesting expression in SMILE. The mission uses a European launcher (Vega-C), European testing facilities (ESTEC in the Netherlands), and a European payload module built by Airbus in Spain. China contributes three scientific instruments and the spacecraft platform and operations. The division of labour is not equal, but it is genuine.
This is different from the model China has pursued in, say, its International Lunar Research Station programme — a Beijing-led effort to build a Moon base with selective partner participation on China’s terms. SMILE was born from a joint call for proposals, adjudicated by both ESA and CAS, on scientific merit alone. The symmetry of its origins is a meaningful safeguard.
What the mission also illustrates, however, is the limits of that safeguard. Despite ongoing delays of the launch and geopolitical tensions between Europe and China, this mission marks an important collaboration between the two parties. Orbital Today Delays stretched from an original 2021 target across five years. COVID disrupted joint testing. Geopolitics hovered over every logistics decision. That the satellite is sitting on a Vega-C in Kourou today is a testament to institutional resilience on both sides — and a reminder of how fragile such resilience can be when the political weather changes.
What Comes Next: Blueprint or One-Off?
The successful implementation of the SMILE mission will set a benchmark for China-EU space science cooperation and lay the technological foundation for deeper future collaboration. GitHub
That Chinese Academy of Sciences statement is aspirational in tone. Whether it reflects reality will depend on choices that neither ESA nor CAS alone can make.
The scientific case for continued China-Europe cooperation in space is actually strong. China has developed formidable capabilities in solar and heliospheric science, planetary exploration, and space weather monitoring. ESA brings world-class instrumentation, launcher independence, and an institutional culture of multinational collaboration forged across 22 member states. Together, they have demonstrated — through SMILE — that the logistics of joint mission development are solvable, even across supply chain disruptions and a pandemic.
The geopolitical case is harder. As US pressure on European technology transfer policies intensifies, as China’s own space ambitions grow more assertive, and as the Artemis Accords effectively create a US-aligned coalition in cislunar space, Europe faces a binary pressure: join Washington’s bloc or preserve its own lane.
SMILE suggests a third option — cautious, science-first, mission-specific cooperation, carefully ring-fenced from military and surveillance applications, conducted through multilateral institutions with independent governance. It is not a grand geopolitical declaration. It is a pragmatic transaction between research agencies who share a genuine scientific puzzle.
That may, in the end, be its most important lesson. The most durable forms of international cooperation are rarely born from summit communiqués or diplomatic ambition. They are built from specific problems, shared curiosity, and the grinding, unglamorous work of building something together over a decade. SMILE’s cargo ship sailed from Amsterdam. Its fuel was loaded in Shanghai. Its instruments were calibrated in Leicester. Its launcher was assembled in Colleferro.
On the morning of April 9, all of that will rise together over the Atlantic, riding a column of fire into a highly elliptical orbit 121,000 kilometres above the Earth, where it will spend three years watching our planet’s invisible magnetic shield absorb the fury of the Sun.
Whatever one thinks of the geopolitics, that image is worth holding onto.
The View From the Launchpad
In a world increasingly defined by decoupling — technological, financial, diplomatic — SMILE is a small, luminous exception. It will not resolve the fundamental tensions between Beijing and Brussels. It will not answer the question of whether Europe can maintain scientific ties with China while deepening security cooperation with Washington. It will not make the next CME less dangerous or the next trade war less likely.
But it will, if all goes to plan, give us something genuinely new: a complete, real-time picture of how Earth’s magnetic shield breathes, bends, and holds against the solar wind. And it will have done so because two sets of scientists — from Milan and Beijing, from Leicester and Shanghai — decided that the problem was important enough to work on together, regardless of the weather in Washington.
What strikes me most, in the end, is not the geopolitics. It is the image of Professor Branduardi-Raymont at Mullard Space Science Laboratory, frustrated for years that no observatory could image X-ray emission from the magnetosphere, proposing mission concepts until one finally stuck. The Colibri will not carry her name. But the instrument riding inside the fairing of that Vega-C, the lobster-eye X-ray telescope that will for the first time map the shape of Earth’s magnetic boundary, is her life’s work.
The rocket lifts off at 08:29 CEST. The world should be watching.
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