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The shift reflects a sharp change in investor preference after months of underperformance by Hong Kong equities against mainland peers. Mainland investors sold about HK$3.6 billion of Hong Kong shares through the trading links last month, the first monthly net outflow since June 2023 and one of only a small number of monthly selling episodes since the southbound channel became a key route for mainland money into the city’s market.

The move is striking because southbound buying has been one of the strongest supports for Hong Kong stocks over the past year. Mainland funds poured into high-dividend banks, telecoms groups, energy companies and internet platforms during earlier phases of the rally, helping offset caution among global investors. That support is now weakening as domestic funds chase companies tied to AI infrastructure, chips, optical modules, software and computing power.

Onshore AI shares have delivered a stronger performance than Hong Kong’s technology benchmarks this year. The CSI Artificial Intelligence Index has risen sharply, while the Hang Seng Tech Index has lagged, weighed down by concerns over platform margins, heavy spending on AI models and pressure from subsidy battles in e-commerce and online services. The divergence has encouraged active money managers and retail traders to reassess whether Hong Kong-listed internet giants still offer the most attractive exposure to China’s technology story.

The change in flows also comes as Beijing’s industrial policy continues to favour advanced manufacturing, domestic semiconductors, large language models and high-end computing. Companies linked to AI servers, data centres, optical communications, robotics and chip design have become favoured market proxies for China’s effort to reduce dependence on foreign technology. That policy backdrop has helped support valuations even as questions persist over earnings visibility, capital expenditure demands and competition.

Cambricon Technologies, Zhongji Innolight, Kingsoft Office, iFlytek and other mainland-listed technology names have been among the companies watched closely by investors seeking domestic AI exposure. Hong Kong still hosts major technology groups such as Tencent, Alibaba, Baidu, Meituan and Xiaomi, but the market’s heavyweight structure makes it more exposed to mature platform businesses than to the faster-growing AI hardware and infrastructure supply chain favoured by onshore traders.

Hong Kong’s role as a fundraising centre remains intact despite the outflow. The city has continued to attract listings from technology, healthcare, robotics and semiconductor-related companies, while mainland firms still view it as the most practical offshore venue for raising international capital. Several AI and chip-linked companies are preparing or considering Hong Kong share sales, suggesting the city remains central to China’s capital market architecture even as secondary-market money rotates elsewhere.

The weakness in southbound appetite also reflects broader caution over Hong Kong valuations after a strong earlier advance. Investors who bought the market for dividends and policy support are locking in gains while seeking higher-beta opportunities at home. The shift does not necessarily point to a structural rejection of Hong Kong stocks, but it does show that mainland money is becoming more selective after helping drive earlier momentum.

Regulatory pressure on offshore investment channels may also be influencing behaviour. Authorities have tightened scrutiny of unauthorised cross-border trading accounts and offshore brokerage activity, reinforcing the appeal of regulated domestic routes. While Stock Connect remains an approved mechanism, wider efforts to keep capital within supervised channels have added another layer of sensitivity around outbound allocations.

Market analysts say the key question is whether the AI-led onshore rally can broaden beyond a narrow group of highly valued companies. China’s AI supply chain is benefiting from state support, falling model costs and growing enterprise adoption, but investors face risks from crowded positioning, uneven profitability and rapid technological shifts. Several AI-linked companies still trade more on expectations than on proven earnings, leaving the sector vulnerable to volatility if sentiment turns.

• FOMO Pay merchants in Singapore will soon be able to accept DuitNow QR payments, enabling Malaysian travellers and visitors to pay using familiar home-country banking and payment applications.
• The rollout comes ahead of the Johor Bahru–Singapore RTS Link, expected to carry up to 40,000 passengers daily upon launch in January 2027.

Enhancing Cross-Border Payment Experiences

Hashtag: #DigitalPayment #DigitalBanking #DigitalAsset #FinTech #AI

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About FOMO Pay

Visit www.fomopay.com for more information. For media inquiries, contact [email protected].

Between 2018 and 2023, Dr Ivan Puah treated over 550 cases, addressing unique challenges in Singapore’s multi-ethnic population. His study included diverse case profiles. Results revealing no complications and high satisfaction prove the need to adapt surgical techniques for variations in skin type between Asian and Caucasian patients.

SINGAPORE – Media OutReach Newswire – 3 June 2026 – The evaluation and management of surgical treatment for gynecomastia primarily focus on Western populations. However, Amaris B. Clinic’s decades of experience in Singapore highlight specific considerations for Asian patients.

Dr Ivan Puah, Medical Director at Amaris B. Clinic and the lead researcher on a recent study, has offered new insights into treating gynecomastia, a condition characterised by male breast enlargement, in Singapore.

The research paper titled ‘Surgical Management of Gynecomastia in Asian Men – Clinical Experience and Considerations for Different Patient Types’ provides detailed, important considerations, including the management of the consultation process, addressing varying patient expectations, and tackling the surgical aspects necessary to achieve desired aesthetic outcomes.

Between 2018 and 2023, Dr Puah treated over 550 cases at Amaris B. Clinic and presented six representative patient cases that illustrate the demographics and unique challenges faced by this multi-ethnic Asian population.

The typical patient profiles included obese, overweight, and lean adults, as well as adolescents. Common causes of gynecomastia observed in the patients included hormonal changes during puberty, drug-induced gynecomastia from anabolic steroids, and conditions related to weight loss.

Dr Puah’s proprietary surgical methods involve making a single incision along the areola to minimise scar visibility while effectively excising glandular tissue, performing liposuction to remove excess fat, and tightening the chest skin.

Six case studies of diverse gynecomastia patient profiles

At the 3-month follow-up after surgery, 5 of 6 patients reported no complications, highlighting the effectiveness of the tailored surgical approach. They expressed high satisfaction with the aesthetic results of the procedure, rating it a perfect 7 out of 7, and reported relief from emotional distress.

Only one patient experienced mild keloid formation at the edges of both areolae where incisions were made, which were not easily noticeable, and reported no complications or dissatisfaction.

Dr Ivan Puah emphasises, “It is important to adapt surgical techniques to address issues such as scarring and hyperpigmentation, which can be more pronounced in Asian patients due to their skin types. The differences in skin quality and glandular tissue characteristics between Asian and Caucasian patients with gynecomastia necessitate distinctions in treatment planning, particularly regarding careful incision placement.”

The full paper is available via World Journal of Plastic Surgery at https://pmc.ncbi.nlm.nih.gov/articles/PMC12843043/

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ABOUT AMARIS B. CLINIC

Amaris B. Clinic, established in 2004 in Singapore and led by Dr Ivan Puah, focusing on medical aesthetics and cosmetic surgery.

The clinic offers facial and body sculpting services such as liposuction, gynecomastia surgery, and fat grafting, as well as non-surgical treatments like Ultherapy Prime, biostimulator injections, and hair loss therapy.

Amaris B. Clinic’s Signature Treatments

• Liposuction
• Vaser Liposuction
• Gynecomastia Surgery
• Accessory Breast Removal
• Corrective Surgery
• Fat Grafting
• Sports Aesthetics

ABOUT DR IVAN PUAH

Dr Puah, an MOH-accredited liposuction doctor with extensive training in various cosmetic procedures, is committed to providing personalised care with an artful eye and proven medical techniques.

• Dedicated surgical training in gynecomastia surgery in San Francisco
• Chairman of the Lipo Peer Review Committee in Singapore
• Trained in Vaser liposuction (fundamental and hi-definition) in Colorado and Argentina
• Trained in syringe liposculpture, fat grafting, and thread lift from renowned French plastic surgeon, Dr Pierre Francois Fournier
• Appointed trainer by Allergan and Merz for fellow doctors on cosmetic injectables
• Designated trainer for PDO thread lift and Picolaser from Venusys Medical
• Graduate Diploma in Family Dermatology from NUS
• Graduate Diploma in Acupuncture from TCMB
• Graduate Diploma in Sports Medicine from LKCMedicine, NTU

By T N Ashok The dust may have settled on the 2026 West Bengal Assembly election, but the political war has only intensified. Defeated former Chief Minister Mamata Banerjee has launched perhaps the most serious challenge yet to the legitimacy of the Bharatiya Janata Party’s sweeping victory, alleging that the saffron party manipulated electoral rolls, […]

The article Poll Results Were Out In Bengal A Month Ago, But Political Violence Is Still Continuing appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

Jean-Jacques Muyembe and Peter Piot are being honored with the international award of €500,000 for exceptional life-long leadership spanning five decades since the first outbreak of Ebola

BERLIN, GERMANY – Newsaktuell – 2 June 2026 – The Virchow Prize 2026 has been jointly awarded to Jean‑Jacques Muyembe and Peter Piot for their pioneering and enduring leadership in the discovery, control, and understanding of epidemic threats, and for advancing equitable, multilateral cooperation and governance that have fundamentally strengthened global preparedness and solidarity in the face of infectious disease outbreaks.

The announcement was made today by the Virchow Foundation which is granting the annual award. The selection of the laureates by the independent Virchow Prize Committee was preceded by a nomination period that ended on February 28, followed by a three-month deliberation period.

This moment resonates with particular historical gravity: 2026 marks both fifty years since the emergence of Ebola and a renewed confrontation with the virus through the current outbreak and unpreparedness.

According to the committee, the careers of Jean‑Jacques Muyembe and Peter Piot are anchored in a defining moment of modern infectious disease history: the first identified Ebola outbreak in 1976. Their collaboration demonstrated the necessity of crossing contextual, disciplinary and geographic boundaries, highlighting both the potential and the inequities inherent in global health partnerships. Over the decades, both Muyembe and Piot have worked – partly closely together, partly independent from each other in complementary ways – to transform epidemic research in an exemplary manner, firmly rooted in equity, reciprocity, and shared leadership.

Taken together, the laureates’ contributions illustrate a continuum that is central to advancing health for all: from discovery to delivery, from local response to global coordination, from emergency action to long-term system strengthening. Their work has directly improved the ability to detect, understand, and control deadly outbreaks, while also influencing broader frameworks for addressing global health challenges in a manner that is equitable and inclusive.

By awarding the Virchow Prize 2026 equally to Muyembe and Piot, their scientific achievements and their commitment to strengthening health systems and fostering global solidarity are honored. The laureates’ work embodies Rudolf Virchow’s legacy that health is inseparable from social organisation, governance, and collective responsibility.

Full Article and detailed Virchow Prize Committee jury rationale at www.virchowprize.org/vp2026

Contact: Virchow Foundation | Dorotheenstr. 83 | DE-10117 Berlin, Germany | [email protected]

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Financial markets are inherently complex systems shaped by price dynamics, capital flows, macroeconomic cycles, policy changes, and investor sentiment. Traditional financial modeling approaches, typically grounded in historical data, empirical assumptions, and linear analysis, face limitations in capturing such multidimensional interactions. AI for Science introduces new methodologies through simulation, advanced reasoning, and multivariable modeling, offering a broader analytical perspective.

The application of AI is not positioned as a replacement for traditional financial models, but as an enhancement to analytical capabilities in conditions of uncertainty. In areas such as asset valuation, risk exposure assessment, and macroeconomic scenario simulation, the central challenge lies in understanding variable interactions and maintaining model interpretability under extreme conditions. AI-driven approaches contribute to improved analysis by enabling more comprehensive scenario testing and deeper insight into systemic relationships.

Chow Kit Hui, founder of KitHui Growth Financial Academy, continues to monitor advancements in AI training architectures, algorithm optimization, and scientific research-grade artificial intelligence. Ongoing engagement with developments in intelligent decision-making and financial technology reflects a commitment to integrating emerging methodologies into financial research and education frameworks.

Insights from the Science x AI Summit 2026 indicate that the long-term value of AI extends beyond efficiency gains and content generation. Greater potential lies in supporting the analysis of complex systemic challenges. In financial applications, AI is not expected to eliminate risk or replace professional judgment; however, it can contribute to earlier risk identification, more robust assumption testing, and decision-making processes that more accurately reflect real-world complexity.

Hashtag: #ScienceXAI #ChowKitHui #AIforScience

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About KitHui Growth Financial Academy

KitHui Growth Financial Academy focuses on advancing structured and long-term financial understanding across key areas including global asset allocation, corporate mergers and acquisitions, private equity, derivatives, risk management, macroeconomic research, and financial valuation modeling. The academy emphasizes systematic thinking and rational analysis rather than short-term market forecasting or speculative investment strategies.

The stock climbed about 6 per cent on Tuesday as investors reacted to signs that Tencent is moving closer to embedding a task-performing assistant inside WeChat, the messaging, payments and social platform used by more than 1.4 billion people. The prototype is designed to help users complete everyday actions within the app, including finding venues, interacting with mini-programmes and placing customised orders, rather than merely answering questions in chatbot form.

The planned agent would mark a significant step in Tencent’s push to convert its AI investments into consumer products at scale. WeChat already functions as a digital operating system for daily life in China, covering messaging, payments, shopping, food delivery, public services, entertainment, ride-hailing and enterprise communication. That reach gives Tencent an advantage that few rivals can match: a single platform with a vast user base, heavy daily engagement and a dense network of third-party services.

People familiar with the prototype have indicated that users would be able to access the AI agent through a swipe gesture on the main WeChat screen. Tencent is expected to begin the regulatory compliance process before wider testing, with a small group of external users likely to receive access before any phased public launch. A firm release date has not been set, reflecting both regulatory uncertainty and the technical demands of deploying agentic AI across a platform of WeChat’s size.

The market response underscores how investors are reassessing Tencent’s AI position after months of concern that the company was trailing Alibaba, ByteDance and Baidu in the race to commercialise generative AI. Tencent has promoted Yuanbao, its AI chatbot, developed its Hunyuan foundation model and introduced productivity-focused AI tools, but WeChat remains the asset most capable of turning those efforts into a daily consumer habit.

Tencent’s first-quarter earnings showed both the strength and the cost of that strategy. Revenue rose 9 per cent year on year to RMB196.5 billion, while IFRS net profit attributable to equity holders increased 21 per cent to RMB58.1 billion. Marketing services revenue rose 20 per cent to RMB38.2 billion, helped by AI-driven advertising improvements, while domestic games revenue grew 6 per cent and international games revenue climbed 13 per cent. Capital expenditure reached RMB31.9 billion, up 16 per cent, as spending on AI infrastructure continued to rise.

The company has told investors that new AI products are weighing on margins, even as core businesses continue to generate strong cash flow. Excluding new AI products, non-IFRS operating profit rose 17 per cent in the first quarter, compared with a 9 per cent increase overall. That gap highlights the near-term drag from AI investment, but also explains why investors are sensitive to any sign that Tencent can place AI directly into revenue-generating services.

Competition is intensifying across China’s technology sector. Alibaba has pushed Qwen into consumer and enterprise markets, ByteDance has expanded AI features across its content ecosystem, and Baidu continues to build around Ernie and AI cloud services. The key battleground is shifting from chatbots to agents that can perform tasks, connect with apps and act across digital services with limited user input.

WeChat’s mini-programme ecosystem could be central to Tencent’s approach. Millions of merchants, developers and service providers already operate within the platform, allowing an AI agent to navigate services without pushing users outside Tencent’s environment. For merchants, an effective agent could increase conversion rates by shortening the path from search to purchase. For Tencent, it could deepen engagement, improve advertising relevance and strengthen its fintech and business services ecosystem.

Regulation remains a critical constraint. China requires generative AI services offered to the public to comply with rules covering data security, content control and algorithmic governance. Any WeChat agent would need to satisfy those requirements before broad release, especially because it could interact with payments, commerce and public services.

The reported move, if confirmed, would mark a significant shift in the composition of India’s external buffers at a time when oil prices, foreign portfolio outflows and import demand are combining to test the country’s balance of payments position. The RBI has not publicly confirmed any gold sale of that scale, and the latest available reserve data show a fall in the value of gold holdings rather than a definitive disclosure of physical bullion sales.

India’s foreign exchange reserves fell to $681.4 billion for the week ended May 22, down $7.5 billion from the previous week. Foreign currency assets declined by about $3 billion to $543 billion, while the value of gold reserves dropped by roughly $4.5 billion. The fall came as the rupee traded near record lows, having weakened by more than 4 per cent since the outbreak of the US-Iran conflict and the accompanying rise in energy prices.

The rupee has been under sustained pressure from higher crude oil and liquefied natural gas costs, wider hedging by importers and withdrawals by overseas investors from domestic equities. Brent crude has traded in the mid-$90 range, raising concern over India’s import bill because the country depends heavily on overseas energy supplies. Any prolonged disruption in Gulf shipping routes would add to inflation risks and intensify demand for dollars from refiners and importers.

The RBI has intervened through state-run banks to slow the currency’s decline, with traders indicating that the central bank has been uncomfortable with disorderly depreciation. The rupee was around 95 to the dollar this week after briefly sliding close to 97 in May. The central bank’s policy decision due this week is being watched for signals on whether it will rely mainly on liquidity tools, dollar sales and administrative measures, or consider a firmer monetary response.

The reported $12 billion gold-related action has drawn attention because India’s gold holdings have expanded in importance within the reserve portfolio. The central bank held about 880.5 tonnes of gold at the end of March, with gold accounting for nearly 17 per cent of total foreign exchange reserves. The physical stock has been broadly steady around 880 tonnes since mid-2025, suggesting that changes in the dollar value of gold reserves can reflect price movements, accounting effects and reserve operations as well as outright sales.

Gold has become a larger part of central bank reserves worldwide as monetary authorities seek diversification away from dollar assets and protection against geopolitical shocks. India has also moved more of its bullion to domestic vaults, reducing custody risks linked to overseas storage. That strategy had been seen as a long-term strengthening of sovereign reserve control, making any suggestion of sizeable gold liquidation politically and financially sensitive.

The government has moved separately to curb foreign exchange outflows. Import duties on gold and silver have been lifted sharply to about 15 per cent from 6 per cent, reversing earlier tariff relief and increasing the landed cost of precious metals. Rules around some bullion imports have also been tightened, while appeals have been made to households to reduce discretionary gold purchases.

Fuel prices have also been raised as state-run retailers pass through part of the increase in international crude costs. Petrol and diesel prices have risen after several years of limited retail adjustments, adding to household costs but reducing the burden on public-sector oil marketing companies. The step is intended to limit under-recoveries at fuel retailers and reduce the fiscal strain that would otherwise build if global prices stay elevated.

The combined policy response reflects the strain of a classic external shock: a weaker currency lifts import costs, higher oil prices widen the trade deficit, and investors demand higher compensation for risk. India enters this phase with substantial reserves, moderate inflation by past crisis standards and a financial system that remains broadly stable, but the speed of the rupee’s decline has revived comparisons with earlier episodes of currency stress.

For markets, the key question is whether the central bank can preserve confidence without exhausting liquid dollar assets or signalling panic. A calibrated use of reserves can smooth volatility, but heavy intervention may raise doubts if investors see it as a defence of a particular exchange-rate level. The RBI’s challenge is to keep currency markets orderly while allowing enough flexibility for the rupee to adjust to the oil shock and global risk aversion.

The Provisions on the Protection of Trade Secrets, issued by the State Administration for Market Regulation under Order No. 126, came into force on 1 June 2026 and replace rules first introduced in 1995. The overhaul gives regulators clearer authority to handle disputes involving digital assets that now sit at the centre of corporate value, from AI model architecture and training datasets to platform recommendation systems, software code and commercially valuable operational data.

The change marks a significant shift in China’s treatment of intangible technology assets. Earlier rules were drafted before cloud computing, AI systems and large-scale data operations became central to business competition. The new framework defines trade secrets as technical or business information that is not publicly known, has commercial value and has been subject to confidentiality measures by the rights holder. Technical information now expressly covers data, algorithms, computer programs and code, while business information can include management, sales, finance, planning, customer and operational data.

The timing gives the regulation wider strategic weight. China and the United States are locked in a prolonged technology rivalry involving semiconductor controls, restrictions on advanced computing hardware, limits on investment in sensitive sectors and scrutiny of cross-border technology transfers. Washington has tightened export controls on high-end chips and chipmaking equipment, while Beijing has expanded its own legal toolkit to protect critical technology, secure data flows and prevent overseas transfer of capabilities it regards as strategically important.

The new rules do not create a separate trade secret law, but provide more detailed administrative guidance under China’s Anti-Unfair Competition Law. They clarify how regulators should assess whether information is secret, whether it has commercial value, what counts as reasonable confidentiality measures and how infringement should be investigated. For companies, the central message is that protection will depend not only on the value of the information, but also on whether internal controls, access limits, confidentiality agreements, digital safeguards and evidence trails are in place.

The provisions also recognise that unsuccessful research can have commercial value. Stage-by-stage technical results, failed experimental data and development paths that save time or cost in future research may qualify for protection if they meet the legal conditions. That is especially relevant for AI labs, pharmaceutical developers, electric vehicle makers, chip design firms and advanced manufacturing groups, where failed trials can reveal important technical boundaries and prevent competitors from repeating expensive mistakes.

Regulators have been given practical enforcement tools, including powers to inspect business premises, question individuals, copy documents, examine electronic records and take action against materials linked to suspected infringement. Penalties can include orders to stop unlawful conduct, confiscation of illegal gains and fines that may reach CNY5 million in serious cases. The framework also covers improper acquisition, disclosure, use or permission to use trade secrets obtained through theft, bribery, fraud, coercion, electronic intrusion or breach of confidentiality obligations.

For multinational companies operating in China, the new rules create a mixed picture. Stronger protection could help firms defend proprietary data, software systems and industrial processes in a market where trade secret disputes have often been difficult to pursue. At the same time, wider protection for data and algorithms may increase compliance complexity, particularly in joint ventures, outsourced research, cloud services, employee mobility, cross-border collaboration and licensing arrangements.

Technology companies are likely to face tougher expectations over documentation. Firms seeking protection will need to show that the information was not easily accessible, carried economic value and was actively protected. Generic claims that an algorithm or dataset is confidential may not be enough. Companies will be expected to classify sensitive assets, restrict access by role, track downloads and transfers, maintain logs, use encryption or watermarking where appropriate, and ensure that employment and partnership contracts define confidentiality obligations with precision.

The rules also sit alongside China’s broader data and security regime, including laws on data security, personal information protection, cybersecurity and export control. That overlap could make enforcement more powerful but also more complicated. A dataset may be a trade secret, a regulated data asset and a cross-border transfer concern at the same time. Businesses handling AI training material, user behaviour data or industrial performance data will need to assess those obligations together rather than treating trade secret protection as a standalone issue.

The award-winning dance company is one of the premier collegiate dance ensembles in the United States, renowned for its elite performance and vibrant stage presence. It has captivated audiences worldwide with its unique blend of standard ballroom and Latin dances, including the Waltz, Tango, Quickstep, Cha-cha and Samba.

Audiences in India can look forward to an unforgettable evening of entertainment, featuring artistic moves with dazzling costumes. These appearances are part of the Company’s annual international tour, which seeks to foster cultural understanding and strengthen global friendships through the universal language of dance.

Last year, they had the privilege of performing for His Majesty King Maha Vajiralongkorn and Her Majesty Queen Suthida in Thailand; Her Royal Highness Preah Reach Botrey Samdech Norodom Arunrasmy in Cambodia; as well as other dignitaries and professionals in Vietnam, demonstrating their role as cultural ambassadors on the global stage.

“We feel deeply honored for the opportunity to travel to India and experience its remarkable culture and traditions firsthand,” said Curt Holman, the artistic director of the Company. “Ballroom dance has a unique ability to transcend language and culture, and through movement and music. Our students look forward not only to sharing their artistry, but also to learning from the people of India.”

Bengaluru:

• 9 June 2026
• 7:00–8:30 p.m.
• MLR Convention Center (4th Cross Road, Kaveri Nagar, Whitefield, Bengaluru, KA 560048)
• https://www.eventbrite.com/e/byu-ballroom-dance-company-mlr-convention-centre-bengaluru-tickets-1987099925368?aff=ebdssbdestsearch

Hashtag: #byuballroom

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BYU Ballroom Dance Company

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The renewed three-year Memorandum of Understanding (MOU) builds on previous successful collaborations between both parties and aims to drive tourism spending by combining STB’s destination marketing resources with UnionPay’s global payment network and regional marketing channels.

Under the partnership, both parties will jointly launch tourism and payment campaigns targeting key visitor markets including China and other regional outbound travel segments. Campaigns will promote Singapore tourism offerings alongside UnionPay’s payment privileges, merchant promotions, and acceptance network across shopping, dining, attractions, transportation and hospitality sectors.

The collaboration will also focus on premium travel and MICE segments through partnerships with banks, luxury travel platforms and tourism stakeholders to introduce tailored privileges and curated experiences for UnionPay cardholders visiting Singapore.

According to STB, Singapore welcomed approximately 16.9 million international visitors in 2025, with China’s mainland remaining the country’s largest source market. As international travel demand continues to recover, seamless and secure payment experiences are playing an increasingly important role in enhancing visitor satisfaction and driving tourism consumption.

Over the past cooperation period, UPI and STB jointly launched multiple tourism campaigns through leading travel and digital platforms, generating more than 40 million impressions and strengthening UnionPay’s presence among travelers visiting Singapore.

Moving forward, both parties will continue to explore new opportunities in tourism marketing, merchant collaboration, and consumer engagement to further support Singapore’s tourism growth and cross-border travel ecosystem.

Hashtag: #Unionpay

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