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The measures apply to online platforms with at least 8 million users in Malaysia, bringing Facebook, Instagram, TikTok and YouTube within the scope of the rules. Companies must introduce age-verification systems for new users and checks for existing account holders, while strengthening safeguards against harmful content, cyberbullying, grooming, scams, child sexual abuse material and other online risks identified by regulators.

The Malaysian Communications and Multimedia Commission has framed the move as a child-protection measure rather than a general restriction on internet access. Children under 16 are not being cut off from the internet, but they are no longer permitted to own private social media accounts in their own names. Parents will not face penalties if children bypass the rules, but platforms that fail to comply can face fines of up to 10 million ringgit.

Communications Minister Fahmi Fadzil had signalled the age floor last year, arguing that children were being exposed to online harms at a scale that demanded firmer platform accountability. He has said the policy is aimed at stopping under-16s from opening accounts independently, while allowing supervised access under parental control. Officials have also pointed to the spread of scams, online gambling, predatory contact and bullying as risks that existing moderation systems have failed to contain.

The enforcement places Malaysia among a growing group of governments testing age-based restrictions on social media. Australia has moved ahead with a comparable under-16 model, while the United Kingdom and several European governments are examining tougher obligations on platforms, age checks and design features that can encourage prolonged use by minors. Indonesia and Turkey have also discussed stronger limits for children’s access to social platforms.

Malaysia’s approach marks a significant shift in Southeast Asia’s digital regulation, where governments have increasingly moved from voluntary platform pledges to statutory obligations. The country has already required large social media and messaging platforms to obtain operating licences, with authorities saying the regime is intended to combat cybercrime, harmful content and misuse of online services. The under-16 rule adds a more targeted child-safety layer to that broader regulatory framework.

The most difficult part of implementation is likely to be age verification. Platforms may need to rely on identity documents, digital identity systems, facial estimation technology, parental confirmation or other mechanisms. Each option raises trade-offs. Stronger verification can reduce false age declarations, but it can also require users to hand over sensitive personal data. Privacy advocates have warned that age checks could create wider data-collection risks unless platforms limit retention, secure information properly and avoid using identity data for advertising or profiling.

Child-rights and free-expression groups have also questioned whether a blanket age rule will protect vulnerable users or push them towards less visible online spaces. Critics argue that determined teenagers may use virtual private networks, borrowed accounts, false birth dates or overseas registration routes to evade the restriction. They say a safer approach would combine age-appropriate design, stronger default privacy settings, rapid removal of harmful content, limits on addictive features and meaningful complaint channels.

Supporters of the policy counter that age limits give parents a clearer standard and force platforms to accept responsibility for systems that have often treated children as ordinary users. They argue that voluntary parental controls have not kept pace with algorithmic recommendation systems, private messaging risks and the commercial incentives behind engagement-driven platforms. The new rules are expected to test whether large technology companies can apply credible safeguards without excluding legitimate educational, civic and social uses of digital services.

Defence Minister Mohamed Khaled Nordin said Oslo’s decision had moved beyond a procurement setback and raised wider questions about trust in global relations. He argued that rules and agreements lose credibility when advanced economies can withdraw from signed deals after payments, integration work and delivery schedules have already been set.

Kuala Lumpur is seeking more than RM1 billion in compensation after Norway revoked approvals linked to the Kongsberg Defence & Aerospace missile system intended for Royal Malaysian Navy littoral combat ships. Malaysia says it had paid about 95 per cent of the contract value before the reversal, which disrupted plans for weapons installation on ships already designed around the Norwegian system.

The dispute centres on the Naval Strike Missile, an anti-ship weapon produced by Kongsberg and selected under Malaysia’s long-delayed littoral combat ship programme. The original 2018 contract was valued at about €124 million and covered missiles for six vessels, while Malaysia has also referred to a second arrangement involving two additional naval platforms.

Norway has defended the decision as part of tightened export controls over sensitive defence technology. Its foreign ministry has said exports of some Norwegian-developed systems will be limited to allies and closest partners because of changes in the European and global security environment. Oslo has also said it values relations with Malaysia and wants continued dialogue, while Kongsberg has maintained that licensing decisions rest with Norwegian authorities.

Kuala Lumpur’s anger has deepened because the decision came after years of planning around the missile system. Officials say the financial claim includes direct payments and indirect costs, including work needed to remove or modify equipment already fitted to accommodate the system, integration of replacement weapons and retraining of personnel.

Prime Minister Anwar Ibrahim has called Norway’s action unilateral and unacceptable, warning that signed contracts cannot be treated as disposable commitments. He has said the move could damage confidence in European defence suppliers if commercial and strategic agreements can be reversed without adequate safeguards for the buyer.

Khaled’s remarks have widened the argument from a bilateral dispute to a broader critique of defence procurement norms. He said smaller countries must ask whether powerful states can invoke shifting policy considerations after contracts have been finalised, leaving customers to absorb operational, financial and strategic consequences.

Malaysia’s immediate concern is the impact on the littoral combat ship programme, one of the country’s most politically sensitive defence projects. The programme began in 2011 with an initial plan for six vessels at RM6 billion but became mired in delays, cost escalation and allegations of mismanagement. The government later revived the project after a review, reducing the number of vessels to five.

The first ship, originally expected earlier, is now due for delivery in December 2026. The absence of the missile system adds another layer of difficulty to a programme already under scrutiny, though the defence ministry has said construction will continue while alternative missile options are assessed.

Replacing the Naval Strike Missile is not a simple procurement switch. Any substitute must be compatible with the combat management system, launch architecture, ship design, maintenance regime and training pipeline. Defence analysts have warned that retrofitting could raise costs and extend integration timelines, especially when warship systems have been configured around a specific weapon package.

Malaysia is also weighing the diplomatic cost of the dispute. Norway is not among Malaysia’s largest defence partners, but the controversy could influence how Kuala Lumpur assesses future purchases from Europe and NATO-aligned suppliers. Khaled has indicated that trust, technology transfer and support for Malaysia’s self-reliance goals will carry greater weight in future procurement decisions.

The episode comes as Southeast Asian states are modernising naval capabilities amid busier sea lanes, contested maritime zones and growing demand for precision strike systems. Malaysia has sought to strengthen its maritime posture while avoiding alignment with any major bloc, making reliability of suppliers a central issue in long-term planning.

Highlights of FY25/26 Results

HONG KONG SAR – Media OutReach Newswire – 28 May 2026 – Johnson Electric Holdings Limited (“Johnson Electric”), a global leader in electric motors and motion subsystems, today announced its results for the twelve months ended 31 March 2026.

Group sales for the 2025/26 financial year were US$3,650 million, an increase of 0.1% compared to the prior year. Net profit attributable to shareholders decreased by 23% to US$202 million or 21.59 US cents per share on a fully diluted basis. Adjusted net profit, excluding the effects of non-cash foreign exchange rate movements, the impairment of intangible assets, restructuring charges, and adverse fair value movements in investments, declined by 13% to US$234 million.

Sales Performance

The Automotive Products Group (“APG”) achieved sales of US$3,054 million, which amounted to 84% of total Group sales. Excluding currency effects, APG’s sales decreased by 3%.

Global automotive industry production volumes increased slightly over the prior year, but growth remains lacklustre in most markets due to affordability concerns and the challenges faced by OEMs and suppliers in adjusting to geopolitical uncertainty, tariff pressures, and the shifting economics of battery electric vehicles that continue to be shaped by the level of government subsidies available to consumers.

APG’s sales are divided broadly equally across the three major geographic regions of demand, but performance over the past year reflected distinct variations in local market conditions, as well as APG’s own mix of OEM customers and the timing of new program launches.

In Asia, the division’s sales declined by 7% on a constant currency basis primarily due to the ongoing erosion in market share held by Sino-foreign joint venture OEM customers in China. APG has continued to win significant new business awards from Chinese domestic OEMs and their suppliers, which now account for the majority of its sales in China. However, the division’s historically large share among joint venture customers has acted as a drag on its recent sales performance that is taking time to reverse. The domestic passenger vehicle market in China itself experienced a sharp slowdown in sales in the first quarter of 2026 due to the phasing out of trade-in subsidies designed to encourage the purchase of electric vehicles.

APG’s sales to the Americas increased by 1% on a constant currency basis in a market that saw total light vehicle production volumes broadly flat. The predominant factor constraining new car sales in North America is cost of living concerns, with many low to middle income car buyers struggling to afford new vehicles that, on average, have increased in price by over 30% since 2020.

In Europe, APG’s sales decreased by 2% on a constant currency basis. The European auto market continues to experience sluggish consumer demand at the same time that OEMs are hampered by excess production capacity and the impact of shifting emissions regulations on their product model line-ups.

APG’s strategy in the context of the varied and unpredictable operating environment for component suppliers is, firstly, to focus on bringing to market innovative motion technologies that enable electrification, reduce emissions, and enhance passenger safety and comfort. Secondly, APG aims to offer its diverse base of customers an unrivalled total cost and value proposition that combines speed, scale, and reliability of production with an adaptable global operating footprint.

The Industry Products Group (“IPG”) achieved sales of US$596 million – an increase of 2% compared to the prior year on a constant currency basis. After three successive years of declining sales, this marks an important return to growth for the division. In more commoditized product application segments, new business development has been redirected towards the rapidly growing base of Chinese manufacturers who are capturing an increasing share of the global market for consumer and commercial hardware goods – particularly for low-priced, entry-level products. In parallel, IPG is focused on supplying motion subsystem solutions to more specialized, higher-growth segments, including humanoid robotics, warehouse automation, medical devices, semiconductor manufacturing equipment, and liquid cooling applications.

Gross Margins and Operating Profitability

The Group’s gross profit of US$840 million, or 23.0% of sales, was essentially flat compared to the prior financial year. Slight increases in production staff costs, depreciation, and raw materials were offset by savings in other production overheads and direct labour.

Reported earnings before interest, tax and amortization (“EBITA”) amounted to US$258 million, a decrease of 22% compared to US$331 million achieved in the prior year. The decline was due to a combination of factors, including higher selling and administrative staff costs and other provisions, an impairment of intangible assets arising from a past acquisition, and reduced other income due to an adverse net change in the fair value of certain investments.

Net Profit and Financial Condition

Net profit attributable to shareholders decreased by 23% to US$202 million or 21.59 US cents per share on a fully diluted basis. Adjusted net profit, excluding the effects of non-cash foreign exchange rate movements, the impairment of intangible assets, restructuring charges, and adverse fair value movements in investments, amounted to US$234 million compared to US$268 million in the prior year.

The Group’s overall financial condition remains robust with a total debt to capital ratio of 10%, an interest coverage ratio of 22 times, and year-end cash reserves of US$902 million.

Dividends

The Board considers it appropriate to recommend maintaining the final dividend of 44 HK cents (5.64 US cents) per share, which together with the interim dividend of 17 HK cents per share, represents a total dividend of 61 HK cents (7.82 US cents) per share.

Chairman’s Comments on the Annual Results and Outlook

Commenting on the annual results for the financial year 2025/26, Dr. Patrick Wang, Chairman and Chief Executive, said, “Operating conditions for global manufacturing businesses during the financial year 2025/26 remained challenging, with end-market demand in most regions subdued and geopolitical events and uncertainties placing upward pressure on input costs.”

Dr. Patrick Wang further commented: “In the face of these headwinds, Johnson Electric maintained its long-standing resilience with sales and gross profit margins both holding up comparatively well. The bottom-line result, however, was negatively impacted by the effects of higher overhead expenses on a flat sales base, adverse net changes in the fair value of investments, and a non-cash intangible assets impairment charge.”

Concerning the near-term financial outlook, Dr. Patrick Wang said: “The global economy demonstrated resilience over the past year, despite the protracted conflict between Russia and Ukraine and the geopolitical shock of tariffs being imposed on US imports of goods from almost all countries. Looking ahead, the unstable and unpredictable conditions for trade and global manufacturing have been made even more precarious by the outbreak of war in the Middle East.”

“Johnson Electric has a long-standing track record in successfully navigating volatile global markets. In the near term, with geopolitical and macro-economic dynamics impossible to forecast with precision, management remains focused on cost control, managing the effects of inflation, and maintaining a prudent financial risk profile.”

“In parallel, however, we are also committed to invest in adapting and scaling our business model to meet strong underlying demand for our motion subsystem solutions in several high-growth end-markets and new product applications. Included among these are: thermal management systems for electric and hybrid vehicles that depend on a combination of water pumps, valves and actuators to support optimal vehicle cabin temperature, extend electric vehicle driving range, and contribute to longer battery life; solid oxide fuel cell power generation systems that are becoming established as an important source of low-emission, on-site electricity supply to AI data centres; and AI-enabled humanoid robots, which are widely viewed as one of the most significant industrial and commercial opportunities over the next ten to twenty years.”

Forward Looking Statements

This news release contains certain forward looking statements with respect to the financial condition, results of operations and business of Johnson Electric and certain plans and objectives of the management of Johnson Electric.

Words such as “outlook”, “expects”, “anticipates”, “intends”, “plans”, “believe”, “estimates”, “projects”, variations of such words and similar expressions are intended to identify such forward looking statements. Such forward looking statements involve known and unknown risk, uncertainties and other factors which may cause the actual results or performance of Johnson Electric to be materially different from any future results or performance expressed or implied by such forward looking statements. Such forward looking statements are based on numerous assumptions regarding Johnson Electric’s present and future business strategies and the political and economic environment in which Johnson Electric will operate in the future.

Note to Editors and Securities Analysts: The full text of the Annual Results announcement, includingfinancial statements, is available through the Investors section of company’s website at www.johnsonelectric.com
Hashtag: #JohnsonElectric

The issuer is solely responsible for the content of this announcement.

About Johnson Electric Group

At Johnson Electric, our vision is to be the world’s definitive provider of innovation and reliable motion systems.

We are a global leader in electric motors, actuators, motion subsystems and related electro-mechanical components, serving a broad range of industries including Automotive, Liquid Cooling, Robotic Joints, Smart Metering, Business Equipment, Ventilation, Home Automation, Large Appliances, Power Tools, Medical Devices and Lawn & Garden Equipment. The Group is headquartered in Hong Kong and employes over 30,000 individuals in more than 20 countries worldwide. We are listed on The Stock Exchange of Hong Kong Limited ( Stock no. 179). For further information, please visit: www.johnsonelectric.com.

Measured across the full month with the daily rollover excluded, the Edge account averaged 0.04 pips on the majors, level with the best in the field.

RODNEY VILLAGE, SAINT LUCIA – Media OutReach Newswire – 28 May 2026 – TabTrade (tabtrade.com), a global forex and CFD broker with zero average spreads on major forex pairs, today pointed to Datalyst spread data placing the TabTrade Edge account among the lowest in the industry on the major currency pairs. Measured across the full month with the daily rollover period removed, the Edge account averaged 0.04 pips on the majors, level with the tightest average any broker recorded.

Datalyst samples spreads from more than 10,000 live trading accounts. The daily rollover window, a short period each evening when liquidity thins and spreads widen across the market, is taken out so the figure reflects active trading conditions. On that basis the Edge account averaged 0.04 pips across the majors.

In peak European hours the spread tightens to a 0.00 pip average on several majors. TabTrade reports the average rather than a best-case rate.

The Edge account runs raw spreads from 0.0 pips with a flat $3.50 commission per side and no markup on the spread. Orders route through Equinix LD5 in London, with fills averaging under 30 milliseconds.

“We would rather be judged on the average, and judged by someone other than us,” said Benjamin Boulter, Founder and CEO of TabTrade. “Once you take out the daily rollover, the Edge account sits with the best in the industry on the majors, and in peak hours it averages zero on several of them.”

Spread data is published at https://datalyst.forexco.com.au/ and Edge account details are at https://www.tabtrade.com/accounts/edge/

Hashtag: #TabTrade

https://www.tabtrade.com/

The issuer is solely responsible for the content of this announcement.

About TabTrade

TabTrade is a global forex and CFD broker with zero average spreads on major forex pairs. Clients trade forex, indices, commodities, metals, shares and cryptocurrencies on MetaTrader 5 and cTrader, with a $0 minimum deposit and institutional-grade execution through Equinix LD5 data centres. TabTrade Ltd is incorporated and registered in Saint Lucia under the International Business Companies Act (Registration Number 2025-00919), and client funds are held in segregated accounts. Markets made simple.

48% of job seekers now expect upfront salary disclosure before applying

HONG KONG SAR – Media OutReach Newswire – 27 May 2026 – As the European Union prepares to transpose the EU Pay Transparency Directive into law by June 2026, employers will soon be required not only to disclose pay scales but to provide unprecedented clarity on how pay decisions are made.

This movement is not confined to Europe. Across the US, UK, Canada, Brazil, Australia, and Japan, a combination of strict regulation and rising employee expectations is pushing organisations toward a new standard of openness.

According to the latest Pay Transparency E-guide from the world’s most trusted talent solutions company Robert Walters, 48% of job seekers say they only apply for roles where salary ranges are disclosed upfront, which reflects salary transparency is no longer a ‘nice-to-have’ but prerequisite for even engaging in the hiring process.

In Hong Kong, where salary disclosure has traditionally remained limited and highly individualised, these global developments are beginning to prompt new conversations around how pay is determined and benchmarked in the hiring process.

Growing public debate over current hiring practice to benchmark offers in Hong Kong

The common practice of requesting candidates’ current or previous salary is beginning to attract more discussion in Hong Kong. While employers have traditionally used this information to benchmark offers, some professionals question whether it places too much emphasis on past earnings rather than the value of the role or prevailing market rates.

“Candidates are increasingly asking how compensation is determined, not just what is being offered,” said John Mullally, managing director at Robert Walters Hong Kong. “Where decisions appear to be anchored to previous salary rather than the scope of the role, it can shape perceptions of fairness during the hiring process.”

At the same time, candidates are also paying closer attention to the amount of personal information requested during recruitment, reflecting broader expectations for transparency and consistency.

Wage secrecy culture under reassessment as Gen Z shows greater openness toward salary disclosure

Traditionally, salary has been a deeply private matter in Hong Kong, often viewed as a “confined personal message” that is rarely shared even with family members, which can make it difficult for employees to understand how pay decisions are made or how they compare with peers in similar roles.

However, data from the Robert Walters Salary Survey suggests that Gen Z is beginning to dismantle these long-standing cultural roots.

While only 5.5% of Hong Kong professionals overall are comfortable discussing their compensation with colleagues, that openness jumps to 24% among Gen Z. This stands in stark contrast to the 4% of Millennials and 2% of Gen X who are willing to share such information. This shift indicates that as the younger workforce grows, the cultural resistance to pay transparency is starting to fade.

“For Gen Z, transparency is a marker of fairness, equity, and social responsibility,” says John Mullally. “Candidates today have more access to market information and are making more informed decisions. Greater transparency can help build trust earlier in the process and support more constructive conversations around expectations.”

Global standards, local implications

With stricter requirements emerging in regions such as Europe, practices in one location are increasingly shaping expectations in others. Companies that operate across borders may find that consistency in how compensation is communicated becomes more important in attracting and retaining talent.

“For multinationals, this is more than just a compliance task. Operating transparently in one market while remaining opaque in another creates an ‘information asymmetry’ that erodes internal trust. We are seeing forward-thinking firms ‘level up’ by adopting a consistent, global standard of transparency, even before local legislation mandates it.” comments John Mullally.

While standardisation is difficult in industries like sales or professional services, where pay is often tied to commissions and individual portfolios, companies may need to balance flexibility with clearer communication. As expectations evolve, greater openness may become an important factor in securing and retaining talent.

Navigating complexity: how organisations can prepare

To prepare for this shift, Robert Walters advises Hong Kong organisations to move beyond simple disclosure toward building a robust job architecture. This framework must clearly explain the logic behind pay decisions, ensuring that transparency provides clarity rather than confusion when employees compare compensation.

Businesses should also prioritise internal equity audits to resolve any unjustified pay gaps before they lead to friction. Ultimately, the success of this transition depends on communication; managers must be trained to lead data-driven, honest conversations about pay to ensure transparency becomes a foundation for trust and a stronger employer brand.

“While full transparency on pay is still some way off in Hong Kong, expectations are clearly evolving,” Mullally said. “Organisations do not need to replicate other markets overnight but taking steps towards clearer and more consistent communication around pay will become increasingly important in staying competitive.”
Hashtag: #RobertWaltersHongKong #HongKongHiringMarket #HiringTrends #Benefits #Salary #Hiring #2026 #PayTransparency

https://www.robertwalters.com.hk/
http://www.linkedin.com/company/robert-walters

The issuer is solely responsible for the content of this announcement.

Robert Walters Hong Kong

About Robert Walters – Robert Walters is the world’s most trusted talent solutions business. Across the globe, we deliver recruitment, recruitment process outsourcing and advisory services for businesses of all shapes and sizes, opening doors for people with diverse skills, ambitions, and backgrounds. We help organisations find the skills and solutions to reach their goals and assist talented professionals to power their unique potential.

The Hong Kong office specialises in placing high-calibre professionals on a permanent or contract basis in the following specialities: accounting & finance, construction, property & engineering, financial services, HR & business support, legal & compliance, sales & marketing, supply chain, logistics & procurement, and tech & transformation.

About the Robert Walters Pay Transparency E-guide

With landmark legislation going live in Europe this June and conversations around salary openness gaining momentum worldwide, the era of “confidential” compensation is rapidly coming to an end. In its place is a new corporate landscape defined by transparency, clarity, and open dialogue around pay. This comprehensive e-guide explores the practical realities of this global shift, defining what pay transparency actually looks like in practice and examining why open compensation structures matter now more than ever in the modern workplace.

The guide also provides deep insights into how employee and job applicant expectations are shifting on a global scale, highlighting the direct link between pay transparency and a company’s Employee Value Proposition (EVP). Ultimately, it offers actionable, strategic advice for businesses and hiring managers on how to successfully navigate the cultural and structural transitions within their own organisations.

To download the full Robert Walters Pay Transparency E-guide, please contact us or visit: https://www.robertwalters.com.hk/insights/hiring-advice/e-guide/global-pay-transparency.html

• At the launch, KPMG also unveiled its Trusted AI Assurance offering that is aligned with relevant international standards and frameworks to mitigate risk and build trust in AI deployment. This gives businesses a clear, credible pathway to scale AI confidently as Singapore reinforces its position as a trusted node in the global community.

SINGAPORE – Media OutReach Newswire – 25 May 2026 – As Singapore deepens its commitment to becoming a world-leading AI hub, the question of how organisations build AI that is trusted — by customers, regulators and international partners — has become as consequential as how fast they build it. Today, KPMG took a significant step in answering that question with the launch of its Trusted Artificial Intelligence Centre of Excellence (AI CoE). Supported by the Singapore Economic Development Board (EDB), the AI CoE is a dedicated capability hub designed to help organisations move beyond AI experimentation and embed AI as a trusted, enterprise-ready asset.

At the same event, KPMG also unveiled its Trusted AI Assurance — a structured, business-focused, evidence-based approach that gives Singapore businesses a rigorous multi-faceted assessment of their AI deployment and a clear pathway to scale confidently. Today’s launch — bringing together government, enterprise and the professional services sector — signals a pivotal shift in the national AI conversation: from speed to scale of adoption where trust is the foundational bedrock of deploying AI.

The Trusted AI CoE was officially launched by Ms Jasmin Lau, Minister of State, Ministry of Digital Development and Information & Ministry of Education, alongside Mr Jermaine Loy, Managing Director of the Singapore Economic Development Board (EDB), and Ms Lee Sze Yeng, Managing Partner of KPMG in Singapore.

KPMG’s 2025 Global CEO Outlook shows that more than seven in ten CEOs now rank AI as a top investment priority — yet for many, the gap between ambition and sustained enterprise impact remains wide. Governance, data readiness and workforce capability are the defining constraints of this next phase of adoption. Singapore-based businesses face a further dimension: as they expand regionally and globally, they need their AI systems to be trusted not just at home but across multiple jurisdictions — each with its own regulatory expectations and stakeholder standards.

Lee Sze Yeng, Managing Partner at KPMG in Singapore, said: “Across every sector, we are seeing the same pattern: organisations that moved fast on AI are now asking harder questions — where is the real value, are our people genuinely ready to work alongside AI, and can we stand behind the decisions our systems make? These are not technical questions. They are leadership questions. And for Singapore businesses with ambitions beyond our shores, there is an added dimension: the trust that matters to customers and regulators in the markets you are entering may be defined differently from what is required here. Through the KPMG Singapore Trusted AI Centre of Excellence, we are partnering with businesses to rigorously assess where they stand, close the gaps that matter, and build AI that is trusted not just locally but in the markets most critical to their growth. Trusted AI is not a constraint on ambition. Done well, it is the foundation for it.”

Jermaine Loy, Managing Director, EDB, said: “KPMG’s Trusted AI Centre of Excellence here in Singapore will enable businesses across diverse sectors – including financial services, healthcare, logistics and manufacturing – to scale use of AI with confidence, supported by robust governance frameworks and assurance capabilities. At the same time, this strengthens Singapore’s growing AI ecosystem by building enterprise capabilities and workforce readiness for AI adoption. We welcome KPMG Singapore’s efforts to work with EDB and the relevant agencies in advancing Singapore’s position as a globally trusted hub for AI deployment and innovation.”

Trusted AI Assurance — Giving Singapore Businesses a Foundation to Scale AI

For Singapore businesses, the ambition to scale AI is rarely the obstacle. What is harder — and more consequential — is the question of whether the AI they are building and deploying can genuinely be stood behind: by their boards, by their customers, employees and by the regulators and partners they will encounter as they grow beyond Singapore’s shores.

KPMG’s Trusted AI Assurance offering (the “Trusted AI Assurance”) was developed in response to the need to address the trust deficit with AI in the business community to boost adoption. It is not a certification exercise or a compliance checklist. It is a rigorous, evidence-based independent assessment that gives leadership teams an honest picture of where they stand — and a clear, practical path to where they need to be.

What makes it meaningful is its specificity. The Trusted AI Assurance is calibrated to each organisation’s sector, operating context and growth ambitions — because a financial institution navigating cross-border data regulation faces a fundamentally different set of questions from a manufacturer embedding AI into operational workflows, or a healthcare provider deploying AI-assisted diagnostics. Generic benchmarks serve neither well.

The assessment examines two things that are often conflated but must be considered separately: whether an organisation has the governance, culture and leadership practices to deploy AI responsibly; and whether the AI solutions it has built or acquired are themselves trustworthy — documented, risk-assessed, well-integrated and performing as intended. An organisation can have the right intentions and still be running AI that falls short of what its stakeholders — or another country’s regulators — would accept.

Across four domains, the Trusted AI Assurance examines what genuinely matters:

AI Governance — Whether the frameworks, operating models, policies and procedures that govern AI are real and embedded, not aspirational documents that sit untouched between audits.

AI Systems — The AI systems themselves: how they are documented, how risks are inventoried, how models are integrated into business workflows, and whether the data foundations — including Retrieval-Augmented Generation, pipelines and datasets — are robust enough to be relied upon.

AI Regulatory Compliance — How prepared an organisation is for the regulatory environments it currently operates in, and those it intends to enter. For Singapore businesses with expansion ambitions, this is often where the most important gaps surface: the Trusted AI Assurance can identify whether a specific AI system meets the requirements for deployment in a given market — such as the European Union — or what adjustments would make it so.

AI Security — The strategies and processes in place to protect AI systems, manage privacy, and ensure the organisation can detect, respond to and recover from threats as they evolve.

The stakes are sharpest for businesses in highly regulated sectors. Financial institutions, healthcare providers and infrastructure operators have long been accustomed to navigating complex compliance environments — and Singapore’s AI governance frameworks are among the most developed in the region. But as the EU AI Act moves into full enforcement, a new and specific set of expectations is taking effect for any organisation deploying AI within European markets, or handling the data of European citizens. What satisfies regulators here does not automatically satisfy regulators there.

The reality is one of regulatory diversity: different jurisdictions are building their AI governance regimes at different speeds, with different emphases, and with different evidentiary requirements. A Singapore company that has passed relevant local standards may still find that its AI systems require different documentation, greater explainability, or additional human oversight controls to operate with compliance and trust in a European context. Discovering that gap in the middle of a market entry, a cross-border partnership or a regulatory review is a risk that can be avoided.

The Trusted AI Assurance maps these jurisdictional differences, giving organisations a clear read of where they stand against the specific requirements of markets they are entering — before those requirements become obstacles. It is aligned with globally recognised standards including the EU AI Act, the NIST AI Risk Management Framework, ISO 42001 and Singapore’s Model AI Governance Framework, ensuring that what organisations build here is credible and defensible everywhere.

The Trusted AI Assurance is coupled with consultancy guidance — from KPMG or partnered stakeholders — ensuring every assessment leads to a practical path forward. The intent is to give Singapore businesses the clarity and confidence to grow their AI ambitions without having to rebuild trust from scratch in new markets they enter into regionally or globally.

A Framework for Singapore’s AI Ambition: The Four Doors

Beyond the Trusted AI Assurance, organisations can leverage the AI CoE to assess their broader AI strategies through KPMG’s Four Doors framework — four strategic pillars that help Singapore businesses move from isolated pilots to trusted, sustained AI at scale. Together, they address what it takes for Singapore to be not just an AI-capable nation, but a globally trusted one: where the AI solutions developed and deployed here meet the expectations of regulators, partners and customers worldwide.

Value — From Activity to Impact: Establishing the clear metrics and sector-specific solutions needed to distinguish AI activity from measurable business value, across Financial Services, Government, Healthcare, Real Estate, Infrastructure and Manufacturing.

Trust — Trusted-by-Design AI: Built on a human-centric foundation encompassing ten ethical pillars — including Fairness, Transparency, Accountability, Privacy and Sustainability — the Trust pillar puts responsible governance at the centre of AI strategy, rather than treating it as a compliance afterthought.

People — Genuine AI Fluency: Covering sustainable AI workforce strategy, job redesign, leadership development and change management — from executive ignition sessions that build board-level commitment to the behavioural shifts needed to embed AI into everyday working practices.

Data and Technology — Scalable Foundations: Establishing the trusted data and technology infrastructure that enterprise AI requires, supported by KPMG’s proprietary platforms and a market-ready suite of AI tools, with rigorous attention to data quality, system integration, product development and enterprise-wide AI deployment.

For Singapore’s business community, the Four Doors offer a structured path to becoming AI-trusted — not just AI-active. As global regulatory standards tighten and international partners raise governance expectations, that distinction will increasingly determine which Singapore enterprises are positioned to lead in the markets they enter.

Building AI Capability in Singapore

The Trusted AI CoE (the “CoE”) is designed to function as a capability hub to support Singapore’s position as a trusted node in the global community — co-creating knowledge, accelerating innovation and strengthening Singapore’s AI ecosystem across the business community, academia and the public sector.

At its core is a dedicated innovation team of AI/Software Engineers, Solution Architects, Data Analysts, Product Managers, Tech Business Analysts and Designers — 100 per cent Singapore-based and locally hired. This specialist nucleus is complemented by KPMG’s 3,600-strong Singapore workforce and over 275,000 professionals globally, giving the CoE both deep technical capability and multi-disciplinary reach across Audit, Advisory and Tax.

Solutions co-developed through the CoE are pressure-tested with KPMG as default “Client Zero” where appropriate — rigorously iterated across the firm’s own operations before being brought to clients. Initial focus sectors include Financial Services, Infrastructure and Logistics, Manufacturing, Government, Healthcare and Real Estate, alongside functional domains such as Finance, Governance Risk and Compliance, Customer Services and Operations. Strategic partnerships with technology companies, academic institutions and government agencies further support Singapore’s ambition to serve as a trusted and well-governed regional AI hub.

KPMG’s Commitment to Singapore

KPMG is the world’s first professional services firm to attain ISO/IEC 42001 certification for AI Management Systems — the globally recognised standard for responsible AI governance. This underpins every element of today’s launch, reflecting KPMG’s commitment to practising what it advocates: embedding the disciplines of trusted AI governance into its own operations before bringing them to clients.

KPMG continues to invest in Singapore’s AI talent pipeline through international mobility programmes, internal rotations and capability development across data, digital and leadership disciplines — directly aligned with Singapore’s national goal of growing the skilled workforce its AI ambitions require.

ANNEX: Bringing the KPMG Singapore Trusted AI Centre of Excellence to Life

To bring the KPMG Trusted AI Centre of Excellence (AI CoE) to life, guests at the launch were invited to explore four interactive stops (“windows”) showcasing how trusted AI can move from strategy into real-world enterprise and national impact.

FIRST WINDOW – AI Philosophy

The first window introduced guests to KPMG’s Four Doors framework and Trusted AI Assurance – an evidence-based approach designed to help organisations move from AI experimentation to AI that is genuinely trusted by their boards, their customers, and the regulators and partners they encounter as they grow beyond our shores.

Through an interactive scenario set in the financial services sector, the demonstration illustrated how organisations are assessed across four strategic pillars: Value, Trust, People, and Data and Technology. The walkthrough explored whether businesses have the governance structures, workforce readiness, data foundations and operational oversight needed to support trusted, scalable AI deployment.

1. Value — Whether the organisation has clearly defined what its AI investments are meant to deliver, and whether it has the metrics to distinguish genuine business impact from mere AI activity
2. Trust — Whether the organisation’s AI is built on a responsible, human-centric foundation — covering governance frameworks, ethical guardrails, risk management, security and accountability for AI-driven decisions
3. People — Whether the workforce, from board to frontline, has the genuine AI fluency needed to work alongside AI systems, including the leadership commitment, job redesign and capability development required for adoption to take hold
4. Data and Technology — Whether the data assets, infrastructure and system integration practices are robust enough to support trusted, scalable AI deployment

The experience also demonstrated how AI systems themselves are assessed – including areas such as system documentation, risk inventories, model integration and data platform robustness – highlighting the importance of building AI that is genuinely trusted.

1. System Card — Whether each AI solution is properly documented, including how it performs and how it is used in practice
2. Risk Inventory — Whether AI systems across the enterprise have been identified and their risks catalogued
3. Model Integration — Whether adequate processes and controls govern how AI models are integrated into business workflows
4. Data Platform — Whether the data foundations underpinning AI outputs — including Retrieval-Augmented Generation (RAG) pipelines and datasets — are fit for purpose

A second stage of the scenario then explored the reality of regulatory diversity across jurisdictions. While an organisation may be assessed as “trusted” in Singapore, areas that require attention may emerge when expanding into international markets such as Europe under the EU AI Act.

The demonstration underscored the growing importance of regulatory readiness for Singapore businesses with international ambitions, and how the AI CoE is designed to help organisations expand with confidence through trusted AI governance.

SECOND WINDOW – AI Journey

The second window focused on KPMG’s “Client Zero” approach, where suitable AI solutions are developed and applied within its own operations under real-world conditions, and in some cases co-developed with clients depending on their specific needs. This model reflects a simple philosophy: credibility in guiding responsible AI adoption must be earned by applying the same discipline internally. This approach is particularly relevant in Singapore’s context, where trust and reliability are central to how AI is being adopted across sectors.

KPMG’s “Client Zero” approach provides a structured pathway for scaling AI responsibly. Solutions are first embedded into live workflows – allowing organisations to address practical considerations such as human oversight, explainability, data handling and accountability – before broader deployment. This mirrors the journey many enterprises in Singapore are now facing, as they transition from pilots to AI that can be relied on consistently in regulated, cross-border environments. This shift is important, as trust at scale is built not through experimentation alone, but through systems that are reliable, auditable, and able to operate consistently across different contexts.

At this window, MOS will see this pathway brought to life with AI applied across real business workflows, through three solutions: KPMG’s Digital Gateway (DG) GenAI, KPMG Clara Intelligence and Kiara. These solutions are already implemented in real-time across KPMG’s various functions.

The first demonstration illustrates how the audit and tax professions are beginning to deploy AI agents within their workflows to enhance how work is performed. Rather than treating AI as standalone tools, these capabilities are being embedded into business processes to support analysis, decision-making and execution in a controlled and accountable manner. DG GenAI, KPMG’s Generative AI capability embedded within our Digital Gateway platform, will be used as a demonstration of how this is operationalised in practice — showing how AI capabilities can be integrated into everyday workflows, with appropriate governance, data security and user controls in place.

The second demonstration presents KPMG Clara Intelligence, an intelligent AI-powered platform which acts as a centralised platform. KPMG Clara Intelligence showcases the future of audit, where AI is used to support data-driven risk assessment, better insights and analysis and decision-making on a single platform. This reduces reliance on manual processes and enables auditors to focus on higher-value judgement, improving both efficiency and audit quality. MOS will see how this reflects a broader shift in the profession — towards AI-assisted workflows that require new skills and deeper analytical capabilities.

This window also highlighted how AI is reshaping the accountancy and professional services sector. As AI becomes embedded into core workflows, roles within the profession are evolving — routine, manual tasks are increasingly automated, allowing professionals to focus on higher‑value judgement, analysis and advisory work. At the same time, this shift requires a broader base of AI fluency across the workforce, not just among specialists, as professionals will need to work alongside AI systems in their day‑to‑day roles.

These changes are driving a wider rethinking of skills development across the sector, including how institutions and employers prepare current and future talent. Efforts are underway to align training and education pathways with these evolving needs, ensuring that individuals entering the profession — and those already in it — are equipped to operate effectively in an AI‑enabled environment. This reflects a broader transition towards a workforce that combines strong domain expertise with AI capabilities, in line with Singapore’s ambition to develop an AI‑bilingual workforce.

The third solution, Kiara, is KPMG’s GenAI recruitment assistant, illustrating how AI can enhance the candidate engagement and streamline scheduling of interviews. This highlights how AI is not only transforming business processes, but also how people work and interact with technology.

Overall, the window demonstrated how these solutions reflect the same principles KPMG advises its clients to adopt: strong data foundations, embedded governance, and human oversight at key decision points – illustrating the practical steps organisations take to deploy AI responsibly at scale, underpinning the rigour required for Singapore to continue its progress as a trusted hub for AI.

THIRD WINDOW – AI Vision

The third window focused on how AI does not merely change the tools organisations use, but changes the nature of work itself – which roles exist, how decisions are made, and what it means to be genuinely capable in a professional environment.

As organisations navigate AI-driven workforce transformation, the showcase highlighted the same set of questions organisations consistently grapple with: which roles are genuinely enhanced by AI, and which risk being hollowed out? Where should organisations invest in reskilling, and on what timeline? How are accountability and professional standards maintained when AI is embedded into decisions that used to rest entirely with a person?

The insight that emerges across sectors is consistent: organisations that treat AI workforce transformation as a technology deployment tend to underinvest in the human dimensions – and that is where adoption stalls, quality erodes or trust breaks down. The organisations that get it right treat it as a leadership and organisational design challenge first, with technology as the enabler.

The window also demonstrated how KPMG Mystro™, an AI-enabled workforce intelligence platform, is used to map how work is done today at the task and decision level, and model where AI can responsibly augment human roles across functions such as finance, audit and operations.

Drawing on examples from finance, audit and operations, the showcase illustrated professionals working alongside AI in ways that redirect their expertise toward work requiring human judgement. More broadly, it reinforced the importance of approaching AI transformation not simply as a technology deployment exercise, but as a broader leadership and organisational design challenge.

Singapore’s commitment to building an AI-bilingual workforce – professionals who are not merely aware of AI but genuinely capable of working alongside it, questioning its outputs and being accountable for the decisions it informs – rests on organisations taking the human dimension of transformation as seriously as the technology itself. The insights at this window speak directly to that agenda: what it takes to build not just AI capability, but the kind of AI-confident workforce that sustains Singapore’s competitiveness over the long term.

FOURTH WINDOW – AI Ecosystem

The fourth window focused on how trusted AI adoption cannot be the preserve of large enterprises alone. Singapore’s economic resilience depends on its SME community — the businesses that form the backbone of the economy and that stand to gain enormously from AI, but that often lack the resources, expertise or confidence to navigate adoption responsibly.

Referencing the DBS Spark GenAI programme and DBS SME AI Playbook – developed through a collaboration between DBS and KPMG, and supported by SkillsFuture Singapore – the showcase highlighted practical pathways designed to help SMEs build awareness and accelerate their AI adoption through tailored pathways depending on their AI maturity.

1. Start — For businesses at the beginning of their AI journey: practical orientation on what AI can realistically deliver, where to begin, and what foundational steps to take before committing to more significant investment
2. Accelerate — For businesses that have taken initial steps and are ready to move further: guidance on identifying higher-value use cases, building internal capability and managing the operational changes that come with deeper AI adoption
3. Scale — For businesses ready to embed AI more systematically: the governance, integration and workforce considerations that responsible scaling requires

The window also highlighted the broader support ecosystem available to SMEs, including a broader ecosystem of over 16,000 solution providers globally via IMDA’s Open Innovation Platform, alongside the SME AI Playbook which offers practical use cases, success stories from real businesses, FAQs and an AI readiness diagnostic tool.

Economy-wide AI adoption – the kind that drives meaningful productivity gains across the full breadth of Singapore’s business community – only happens if SMEs are part of the story. The DBS SME AI Playbook is a direct response to that reality: a practical, accessible entry point into AI adoption calibrated to the real constraints and real ambitions of smaller businesses.

The collaboration between DBS and KPMG reflects how Singapore’s AI ecosystem works at its best: financial institutions, professional services firms, government platforms and businesses working together to make trusted AI adoption accessible to every part of the economy, not just its largest players.

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About KPMG in Singapore

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

For more details about our structure, please visit kpmg.com/governance.
For more information, visit kpmg.com.sg
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