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The technology, announced on Wednesday at Singapore International Cyber Week, uses a customised version of Google’s Gemma model to recognise manipulation in conversations and warn users before they transfer money or disclose sensitive information.

The partners have not announced a public release date, named supported messaging applications or published independent accuracy figures. Their announcement describes a model that messaging platforms and operating system developers could integrate, rather than a scam detection application already available for general download.

The initiative forms part of the National AI Partnership between Google DeepMind and Singapore’s government. It addresses fraud schemes that unfold through extended conversations, rather than relying exclusively on suspicious links, keywords or individual messages.

Google DeepMind said the model had been adapted using examples of scams involving impersonation of banks, public institutions and prominent local figures. Its training also covered regional fraud patterns intended to make fraudulent exchanges appear credible to Singaporean users.

The system operates through two stages to limit the processing demands placed on smartphones. A lightweight classifier initially examines incoming messages for possible threats, consuming relatively little computing power. Messages considered suspicious then undergo a more detailed assessment using the fine tuned Gemma model.

During the second stage, the AI examines a broader section of the conversation to assess whether the exchange displays patterns of manipulation. This contextual approach is intended to distinguish ordinary conversations from attempts to build trust before requesting payments, passwords or other confidential details.

Where the model identifies potentially fraudulent behaviour, it generates a warning on the handset, encouraging the recipient to pause and exercise caution. The alert is designed to intervene before a person acts on a scammer’s instructions, although the organisations have not disclosed measured reductions in fraud losses from using the system.

A central feature is that the analysis takes place locally. Conversations do not need to be uploaded for cloud based examination, an important distinction for messaging services that use end to end encryption to prevent intermediaries from reading message contents.

Mark Chen, director of trust and safety at GovTech Singapore, said the collaboration sought to identify targeted local scams in real time while keeping personal communications private. The partners present local processing as a way of reconciling fraud prevention with confidentiality.

The privacy safeguards also extend to development. Google DeepMind said the model was fine tuned inside a government managed Google Cloud environment described as a sovereign sandbox, where training material remained isolated.

According to the company, private citizen conversations and personally identifiable information were excluded from training. Instead, developers used anonymised datasets derived from scam reports and intelligence feeds. Testing included synthetic conversations and local material covering different scam categories and changing impersonation methods.

Those measures describe the development process and proposed operation, rather than an independent assessment of the finished product. The partners have not released detailed public benchmarks showing false positive rates, missed scams, battery consumption or performance across different smartphone models.

Singapore has strong reasons to pursue additional protections. Google DeepMind said scams account for more than half of crimes reported in the country, while cumulative losses since 2019 exceed S$4 billion. It estimated that social engineering schemes account for as much as 80 per cent of scam losses.

Such schemes often depend on prolonged interaction, with perpetrators establishing apparent relationships or authority before introducing requests for money. Detecting suspicious intent across multiple messages therefore presents a different technical challenge from blocking known fraudulent websites or telephone numbers.

The announcement comes alongside separate Android security enhancements unveiled by Google, including optional cloud assisted analysis in Google Messages. That service uses a protected computing environment, whereas the Singapore collaboration specifically centres on keeping conversation analysis on the handset.

The distinction is significant because the two approaches involve different arrangements for processing private communications. The Singapore model is designed to assess message content without transmitting conversations externally, although its practical privacy protections will also depend on how individual applications implement the technology.

Google DeepMind said its model was optimised for smartphones commonly used in Singapore. It has not specified the minimum hardware requirements, participating mobile manufacturers or whether the technology will eventually support additional languages and markets.

The IMF forecast regional expansion of 4.8 per cent in 2026, compared with 5 per cent last year, followed by a further slowdown to 4.4 per cent in 2027. Its latest estimate for this year nevertheless represents a substantial upgrade from the 4.4 per cent projected in April.

The revised outlook reflects sharply contrasting pressures across Asia. Demand for semiconductors, data centres and other technology equipment has strengthened exports and investment, while higher energy costs linked to the Middle East conflict have squeezed economies dependent on imported fuel.

The fund warned that a reversal in AI investment or technology share valuations could undermine growth disproportionately because Asian manufacturers occupy central positions in global electronics supply chains. Higher sovereign borrowing costs and prolonged disruption to energy supplies present additional threats.

Emerging and developing Asian economies are projected to grow 5.1 per cent this year, down from 5.6 per cent in 2025, before slowing to 4.9 per cent next year. Advanced regional economies are expected to expand 3.2 per cent in 2026, compared with 2.5 per cent last year, then moderate to 2 per cent in 2027.

The IMF upgraded forecasts for South Korea, Taiwan and Hong Kong, where demand linked to AI infrastructure has lifted manufacturing and exports. China and India also received upward revisions, although countries facing higher inflation without equivalent technology gains have experienced weaker growth projections.

Krishna Srinivasan, director of the IMF’s Asia and Pacific Department, said at the fund’s annual meetings in Bangkok that technology exports had accelerated sharply during the first half of 2026. Demand for chips and investment in data centres were important contributors, alongside stronger trade within the region.

He said economies had responded to energy disruptions by diversifying fuel suppliers, reducing consumption, increasing alternative energy use and drawing down inventories. Governments had also introduced measures intended to contain inflation, protect incomes and prevent supply shortages.

Those adjustments have not eliminated the unequal effects of the energy shock. Bangladesh, Cambodia and Laos are among the fuel-importing economies with limited direct exposure to the AI investment boom and comparatively restricted financial resources to absorb further pressure.

The IMF urged monetary authorities to maintain price stability as expensive energy threatens to push inflation expectations higher. It cautioned that central banks could face difficult decisions if weaker growth coincides with persistent price pressures, particularly where currencies and capital flows respond to changes in global interest rates.

Fiscal policy should focus on vulnerable households and businesses rather than costly blanket subsidies, the fund indicated. Elevated public debt and higher bond yields reduce governments’ ability to sustain broad support programmes without increasing financial risks.

The regional assessment comes as investors reassess the durability of spending on AI infrastructure. Asian technology shares suffered steep losses on Thursday, with South Korea’s benchmark stock index falling nearly 8 per cent and Japan’s Nikkei dropping about 5 per cent amid concerns over US inflation and borrowing costs.

The fund also identified concentrated stock market valuations and increased investor leverage as potential sources of instability. A sharp repricing could affect financing conditions and confidence even in economies where orders for technology products remain comparatively strong.

Separately, the IMF expects China’s growth to slow from 5 per cent in 2025 to 4.5 per cent this year and 4 per cent in 2027. It has called for stronger domestic demand and fiscal measures to counter deflationary pressures, rather than continued reliance on external sales.

Beyond financial markets, the fund highlighted employment challenges associated with technological change. Srinivasan said its research found employer demand for jobs more exposed to AI had declined by 10 per cent, although that effect appeared to have stabilised as employers sought workers with relevant skills.

The IMF recommended addressing youth unemployment and skills mismatches, strengthening social protection and improving energy security through diversification and renewable supplies. It also supported deeper regional trade integration as governments seek to preserve access to markets despite tariff barriers.

The regional outlook additionally identified a severe El Niño episode as a potential disruption to agriculture, fisheries and hydropower generation, with possible consequences for food and electricity prices across vulnerable economies, particularly in countries heavily reliant on imported energy.

Major announcements and launches

• €250 million Women’s Health Initiative in Bangladesh: The Government of Bangladesh and the European Investment Bank outlined plans to improve women’s health and strengthen district hospitals and critical care services.
• US$100 million commitment to prevent stillbirths: The Gates Foundation and Wellcome Leap announced a joint commitment to Uzima: A Stillbirth Prevention Program, aiming to halve stillbirth rates within a decade in selected countries.
• Lancet Commission on 21st Century Global Threats to Health: The Commission identified two potential threats to human existence: malicious use of artificial intelligence and nuclear conflict.
• Wellcome Global Monitor 2026: Wellcome presented global findings showing that trust in science has declined compared with pre-COVID-19 levels.
• Gallup’s State of the World’s Emotional Health 2026 Report: Gallup and the World Health Summit presented findings on emotional health and well-being, revealing a complex relationship between social media use and well-being that varies by age, time spent online, and geographic location.
• €10 million German contribution to maternal and child health: Germany pledged €10 million to the Global Financing Facility’s Sustainable Commodities Access Program to improve access to family planning and maternal, newborn, and child health products.

The World Health Summit is the leading platform for global health. It brings together stakeholders from politics, science, the private sector, and civil society to set the agenda for a healthier future.

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By Arun Srivastava Antonio Gramsci in his Prison Notebooks (written between 1929 and 1935) explains how a ruling class maintains power not through military or physical force (coercion), but through ideology, culture, and consent (hegemony). He argued that the capitalist state is divided into two spheres: political society (which uses force, like the police and […]

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