UN economists warned millions of jobs in Asia could be at risk as AI widens the gap between digitally advanced nations and those lacking basic access and skills. The report compared the AI revolution to 19th-century industrialisation, which created a wealthy few and left many behind.
Women and young adults face the most significant threat from AI in the workplace, while the benefits in health, education, and income are unevenly distributed.
Countries such as China, Singapore, and South Korea have invested heavily in AI and reaped significant benefits. Still, entry-level workers in many South Asian nations remain highly vulnerable to automation and technological advancements.
The UN Development Programme urged governments to consider ethical deployment and inclusivity when implementing AI. Countries such as Cambodia, Papua New Guinea, and Vietnam are focusing on developing simple digital tools to help health workers and farmers who lack reliable internet access.
AI could generate nearly $1 trillion in economic gains across Asia over the next decade, boosting regional GDP growth by about two percentage points. Income disparities mean AI benefits remain concentrated in wealthy countries, leaving poorer nations at a disadvantage.
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Australia’s government defended its under-16 social media ban ahead of its introduction on 10 December. Minister Anika Wells said she would not be pressured by major platforms opposing the plan.
Tech companies argued that bans may prove ineffective, yet Wells maintained firms had years to address known harms. She insisted parents required stronger safeguards after repeated failures by global platforms.
Critics raised concerns about enforcement and the exclusion of online gaming despite widespread worries about Roblox. Two teenagers also launched a High Court challenge, claiming the policy violated children’s rights.
Wells accepted rollout difficulties but said wider social gains in Australia justified firm action. She added that policymakers must intervene when unsafe operating models place young people at risk.
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Safran.AI, the AI division of Safran Electronics & Defence, and the UAE’s Technology Innovation Institute have formed a strategic partnership to develop a next-generation agentic AI geospatial intelligence platform.
The collaboration aims to transform high-resolution satellite imagery into actionable intelligence for defence operations.
The platform will combine human oversight with advanced geospatial reasoning, enabling operators to interpret and respond to emerging situations faster and with greater precision.
Key initiatives include agentic reasoning systems powered by large language models, a mission-specific AI detector factory, and an autonomous multimodal fusion engine for persistent, all-weather monitoring.
Under the agreement, a joint team operating across France and the UAE will accelerate innovation within a unified operational structure.
Leaders from both organisations emphasise that the alliance strengthens sovereign geospatial intelligence capabilities and lays the foundations for decision intelligence in national security.
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The Second Cairo Forum brought together experts to assess how AI, global shifts, and economic pressures are shaping MENA. Speakers said the region faces a critical moment as new technologies accelerate. The discussion asked whether MENA will help shape AI or simply adopt it.
Participants highlighted global divides, warning that data misuse and concentrated control remain major risks. They argued that middle-income countries can collaborate to build shared standards. Several speakers urged innovation-friendly regulation supported by clear safety rules.
Officials from Egypt outlined national efforts to embed AI across health, agriculture, and justice. They described progress through applied projects and new governance structures. Limited data access and talent retention were identified as continuing obstacles.
Industry voices stressed that trust, transparency, and skills must underpin the use of AI. They emphasised co-creation that fits regional languages and contexts. Training and governance frameworks were seen as essential for responsible deployment.
Closing remarks warned that rapid advances demand urgent decisions. Speakers said safety investment lags behind development, and global competition is intensifying. They agreed that today’s choices will shape the region’s AI future.
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Chinese AI company DeepSeek has unveiled Math-V2, the first open-source AI model to achieve gold-level performance at the International Mathematical Olympiad.
The system, now available on GitHub and Hugging Face, allows developers to modify and deploy the model under a permissive license freely.
Math-V2 also excelled in the 2024 Chinese Mathematical Olympiad, demonstrating advanced reasoning and problem-solving capabilities. Unlike many AI systems, it features a self-verification process that enables it to check solutions even for problems without known answers.
The launch comes as US AI leaders, such as Google DeepMind and OpenAI, have achieved similar milestones with their proprietary models.
Open access to Math-V2 could democratise advanced mathematical tools, potentially accelerating scientific research and development globally.
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Italian defence company Leonardo has revealed plans for the ‘Michelangelo Dome’, an AI-powered shield designed to protect cities and critical infrastructure from missile attacks and drone swarms. The system will integrate multiple defence platforms and is expected to be fully operational by the end of the decade.
The project follows a surge in European defence spending amid geopolitical tensions and uncertainty over US support.
Leonardo’s CEO, Roberto Cingolani, highlighted the system’s open architecture, allowing compatibility with other nations’ defence networks and emphasising the need for innovation and international cooperation.
European defence companies are increasingly investing in integrated command systems rather than standalone hardware.
Private investors are also backing startups developing autonomous and AI-driven defence technologies, creating competition for traditional primes such as Leonardo, BAE Systems, Rheinmetall, and Thales.
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A key player is emerging in China’s AI chip market with Baidu’s Kunlunxin unit stepping in to fill the gap left by Nvidia due to US export restrictions.
The company plans a five-year roadmap for AI chips, beginning with the M100 in 2026 and the M300 in 2027, while already using its chips to run ERNIE AI models.
Strong domestic demand and shortages of AI chips among Chinese tech giants, such as Alibaba and Tencent, have created an opportunity for Baidu.
The company sells chips to third parties and rents computing capacity via its cloud, presenting itself as a full-stack AI provider with integrated infrastructure, models, and applications.
Analysts predict explosive growth for Baidu’s AI chip business, with sales expected to increase sixfold to 8 billion yuan ($1.1 billion) by 2026. Industry experts highlight that the timely delivery of competitive Kunlun chip generations could make Baidu a strategic supplier to the rest of China’s AI ecosystem.
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Researchers have developed an AI model capable of detecting chronic stress by examining routine chest CT scans, offering a new way to identify long-term physiological strain that is often difficult to measure.
The system calculates adrenal gland volume, providing clinicians with a clearer understanding of how prolonged stress may affect key hormone-producing organs.
The study examined nearly 3,000 patients and compared their adrenal measurements with cortisol levels, stress questionnaires and markers such as blood pressure and body mass index.
Findings showed that patients with higher reported stress consistently had enlarged adrenal glands and exhibited greater risks of conditions, including heart failure.
Scientists say the new approach provides an objective, scalable tool that uses medical imaging already standard in hospitals, reducing the need for costly or cumbersome testing.
The research team believes the model could help identify a wide range of stress-linked diseases in older adults and ultimately support earlier, more targeted interventions.
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Police in the UK have begun trialling an AI assistant called Bobbi to help manage non-emergency queries online and reduce pressure on overstretched call handlers.
The virtual tool responds to common questions and hands conversations to a human operator if users request it or ask about issues it cannot resolve.
Developers say Bobbi follows the same guidance as trained call handlers and offers recommendations based on official advice, reflecting input from more than 200 testers, including victim support groups.
The system cannot investigate crimes or replace the 999 emergency line, and police emphasise that crime reports must still be made through existing channels.
Senior officers believe the tool will free up staff for emergencies and complex cases as demand for police contact continues to rise each year.
Leaders at Thames Valley Police and Hampshire & Isle of Wight Constabulary, the first forces to deploy the technology, say the assistant will help ensure the public receives timely support.
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Europe’s constrained energy supply and strict regulations are emerging as unlikely strengths in the global race to expand AI infrastructure. Limited power access and careful planning are encouraging more resilient, future-ready data-centre designs that appeal to long-term investors.
Countries such as the Nordics, Spain and Italy are drawing interest due to stronger renewable capacity and shorter grid-connection times, while the UK, Germany and the Netherlands face greater congestion.
Shifting to a ‘first ready, first connected’ model aims to curb speculation and speed up delivery of viable projects.
Europe’s biggest opportunity lies in cloud-focused facilities and AI inference, which analysts expect to account for most AI demand and must often remain within regional borders.
Tighter rules may slow construction, yet they reduce the risk of stranded assets and support sustainable sites that strengthen Europe’s investment case.
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