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Republic of Korea and UAE deepen AI and semiconductor partnership through new investment forum

The Republic of Korea and the United Arab Emirates have expanded cooperation on AI infrastructure and semiconductors through a new bilateral investment forum focused on AI ecosystems, data centres and advanced chip technologies.

The forum, held in Seoul by the Republic of Korea’s Ministry of Trade, Industry and Resources alongside the Ministry of Science and ICT and the National AI Strategy Committee, brought together government officials, investors and technology firms from both countries. Discussions focused on practical cooperation across AI infrastructure, local-language AI models, semiconductors and industrial AI deployment.

A 25-member UAE delegation attended the event, including representatives from major investment and technology organisations such as Core42, MGX, Mubadala, the Abu Dhabi Investment Authority and the Technology Innovation Institute. Officials highlighted growing strategic competition around AI infrastructure and stressed the need for long-term international partnerships across the semiconductor and AI supply chain.

The discussions placed particular emphasis on low-power and high-efficiency AI infrastructure built around AI semiconductors, including neural processing units, alongside large-scale data centre development and AI service deployment. South Korean companies also presented investment proposals covering AI chips, infrastructure systems and industrial AI technologies during dedicated business sessions and networking meetings.

The initiative builds on expanding Republic of Korea–UAE cooperation following South Korean President Yoon Suk Yeol’s state visit to the UAE in 2025 and the UAE’s previously announced $30 billion investment commitment.

Officials from both sides argued that combining UAE investment capacity with South Korean expertise in semiconductors, manufacturing and AI infrastructure could support joint technology development and future expansion into global markets.

Why does it matter?

AI competition is increasingly centred on infrastructure, semiconductors and strategic investment alliances instead of only AI models and software. The Republic of Korea-UAE agreement highlights growing efforts by countries to secure influence across the global AI supply chain through cross-border partnerships involving data centres, specialised AI chips and industrial deployment.

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India accelerates AI-driven financial inclusion through digital public infrastructure

The role of AI in financial inclusion has been expanded in India by combining AI systems with large-scale digital public infrastructure (DPI). The framework connects identity verification, digital payments, consent-based data sharing and AI-powered credit analysis to improve access to formal finance for underserved communities.

A system that is built around the JAM Trinity – Jan Dhan bank accounts, Aadhaar digital identity and mobile connectivity – alongside platforms such as UPI and Direct Benefit Transfer. By March 2026, Jan Dhan accounts had reached 58.16 crore, while UPI processed more than 2,264 crore transactions worth ₹29.53 lakh crore in a single month.

The infrastructure is generating large volumes of financial and behavioural data that AI systems can use for risk assessment, fraud detection and personalised financial services.

AI-driven lending models are becoming increasingly important for MSMEs, informal workers and first-time borrowers who often lack conventional credit histories. Through the Unified Lending Interface, lenders can analyse alternative datasets including GST records, utility payments, land records and digital transaction histories instead of relying only on traditional credit scores.

Local authorities estimate that AI-enabled credit systems could help address a credit gap worth between $130 billion and $170 billion.

India is also strengthening multilingual and regulatory support for AI finance systems. The Reserve Bank of India (RBI) and Digital India BHASHINI Division are developing ‘Banking BHASHINI’, a specialised language AI model designed to support banking terminology and financial services across all 22 scheduled Indian languages. The initiative aims to reduce literacy and language barriers while expanding nationwide access to digital banking.

Additional initiatives include the RBI Regulatory Sandbox for testing fintech innovations, MuleHunter.AI for detecting suspicious mule accounts linked to cybercrime, and the proposed Digital ShramSetu mission focused on informal workers and AI-enabled economic inclusion.

Authorities argue that combining AI with interoperable digital infrastructure could help India build a more resilient and scalable financial ecosystem as part of its broader Viksit Bharat 2047 strategy.

Why does it matter?

The expansion of AI-powered financial inclusion is crucial because it demonstrates how large-scale digital public infrastructure can reshape access to banking, credit and public services for hundreds of millions of people. Additionally, it highlights how AI can move beyond consumer applications into core economic infrastructure, influencing financial resilience, productivity, fraud prevention and long-term digital development.

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China expands AI education strategy through global learning platform

China has launched a global AI education service platform to expand cross-border access to digital learning resources and support the integration of AI into education.

The initiative was announced during the 2026 World Digital Education Conference in Hangzhou and forms part of a broader upgrade to Smart Education of China, a digital education platform now accessible in around 220 countries and regions.

Chinese authorities said the upgraded platform will support cross-border sharing of educational resources and expand international services. New features include a lifelong learning hub and a Chinese language learning community.

The conference also saw the release of a report outlining China’s policy progress and practical experience in smart education. An AI education initiative was also unveiled, calling for better use of AI to support well-rounded and sustainable human development.

The initiative also urged stronger efforts to bridge the global digital divide by using smart education platforms to share high-quality resources and digital tools.

Why does it matter?

The launch shows how AI education is becoming part of digital infrastructure strategy, not only classroom reform. By linking AI tools, online learning resources and international access through a state-backed platform, China is positioning digital education as an area of both domestic development and global cooperation. It also points to wider competition over who builds the platforms, standards and learning ecosystems that will shape AI literacy and future workforce skills.

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UK backs Isomorphic Labs to strengthen sovereign AI and drug discovery

The UK government has announced a new investment in London-based Isomorphic Labs through its Sovereign AI Fund, strengthening national efforts to support homegrown AI companies developing strategic technologies.

The company focuses on using frontier AI systems to redesign how medicines are discovered and developed. Isomorphic Labs builds on the scientific foundations of AlphaFold, the DeepMind system capable of predicting protein structures with high accuracy, while expanding into broader AI-driven drug design models across multiple therapeutic areas.

The investment forms part of a wider fundraising round as the company scales efforts to accelerate medicine development and reduce the time traditionally required for pharmaceutical research. British officials described the initiative as part of a broader strategy to strengthen sovereign AI capabilities, support domestic innovation, and ensure future AI breakthroughs remain anchored in the UK economy.

The Sovereign AI programme, launched in 2026, combines venture capital investment with government-backed support for promising UK AI firms. Officials say supported companies must maintain a meaningful British presence while contributing to domestic economic growth, technological leadership, and high-skilled employment.

Why does it matter?

AI is increasingly moving beyond consumer applications and into strategic sectors such as biotechnology, pharmaceuticals, and healthcare infrastructure. The UK’s backing of Isomorphic Labs reflects growing international competition to secure sovereign AI capabilities tied to scientific research, intellectual property, and future economic advantage.

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South Korea reviews AI cyber threat response

The Office of National Security of South Korea held a cybersecurity meeting to review how government agencies are responding to AI-driven cyber threats. The session focused on the growing risks posed by the misuse of advanced AI technologies.

Officials from multiple ministries attended, including science, defence and intelligence bodies, to coordinate responses. The government warned that AI-enabled hacking capabilities are becoming increasingly realistic as global technology companies release more advanced models.

Authorities have instructed relevant agencies to strengthen cooperation with businesses and institutions and distributed guidance on responding to AI-based security risks. Discussions also covered practical measures to support rapid responses to cybersecurity vulnerabilities across public and private sectors.

The government plans to establish a joint technical response team to improve information sharing and enable immediate action. Officials emphasised that while AI increases cyber risks, it also offers opportunities to strengthen security capabilities in South Korea.

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Australian Senate opens inquiry into AI data centres

The Australian Greens announced that the Senate has established a parliamentary inquiry into AI data centres, according to its official statement. The move follows growing concern over the rapid expansion of energy-intensive AI infrastructure and limited federal oversight.

The inquiry will examine environmental, economic and social impacts, including energy and water use, effects on communities, and the regulatory framework governing AI. It aims to better understand how these facilities influence resources and infrastructure.

Greens Senator Sarah Hanson-Young said communities have raised concerns about pressure on energy supply, water availability and environmental protection. She also called for greater transparency and parliamentary scrutiny of agreements involving global technology companies.

The party warned against repeating past regulatory failures and stressed the need for accountability as AI infrastructure expands. The inquiry is expected to gather input from affected communities and stakeholders across Australia.

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UK backs stronger cooperation on AI and frontier technologies at OSCE

The UK has highlighted both the opportunities and risks linked to frontier technologies during a high-level conference organised by the Organization for Security and Co-operation in Europe in Geneva.

Speaking at the event, UK Tech Envoy Sarah Spencer said AI could support early warning and early action in humanitarian crises, but could also amplify misinformation and instability if misused or deployed without adequate safeguards.

Spencer said responsible governance of frontier technologies requires partnerships between states, institutions, industry and civil society, arguing that such cooperation matters more than individual products in building inclusive, responsible and sustainable digital ecosystems.

She also highlighted the OSCE’s role in fostering dialogue on frontier technologies, reducing misunderstandings and supporting anticipatory approaches to governance. The UK said it was ready to support efforts to ensure technological progress contributes to a safer, more secure and more humane future.

The conference, titled ‘Anticipating technologies – for a safe and humane future’, brought together participants to discuss how emerging technologies are affecting security, stability and international cooperation.

Why does it matter?

The statement places AI and other frontier technologies within a security and diplomacy context, rather than treating them only as innovation issues. It highlights growing concern that emerging technologies can support humanitarian and development goals, but also create risks for misinformation, conflict escalation and strategic stability if governance and cooperation lag behind deployment.

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EU Commission reviews Android DMA rules on interoperability

The European Commission is consulting third parties on proposed measures requiring Alphabet to ensure effective interoperability between Google Android and AI services under the Digital Markets Act.

The draft measures focus on AI services’ access to key Android capabilities, including wake-word activation, contextual data, integration with applications, and access to hardware and software resources needed for reliable and responsive services.

The Commission opened proceedings in January 2026 to specify how Alphabet should comply with DMA interoperability obligations for features relevant to AI services. Its proposed measures cover invocation, context, actions on apps and the operating system, access to resources, and general requirements such as free access, documented frameworks and APIs, technical assistance and reporting.

Stakeholders were asked to comment on the effectiveness, completeness, feasibility and implementation timelines of the proposed measures, particularly from the perspective of AI service providers and Android device manufacturers.

Input from Alphabet and interested third parties may lead to adjustments before the Commission adopts a final decision-making the measures legally binding. The Commission is expected to adopt that decision by 27 July 2026.

Why does it matter?

The case shows how the DMA is being applied to the emerging competitive landscape for AI assistants and mobile operating systems. If third-party AI services need access to Android features such as wake words, contextual data, app actions and on-device resources to compete effectively, interoperability rules could shape which AI tools reach users and how much control gatekeepers retain over mobile AI ecosystems.

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Anthropic launches Claude Platform on AWS with managed AI agent tools

Anthropic has made Claude Platform on AWS generally available, giving AWS customers access to Claude Platform features through AWS authentication, billing and infrastructure integrations.

The platform includes Claude Managed Agents, code execution, web search, web fetch, prompt caching, batch processing, citations, support for the Files API, and support for Skills and MCP connectors. Anthropic said new Claude models and beta tools will become available on AWS at the same time they launch on the native Claude API.

Authentication runs through AWS Identity and Access Management, while audit logging is handled through AWS CloudTrail and billing through a single AWS invoice. Anthropic said the service is designed for organisations seeking native Claude Platform functionality while staying within existing AWS credentials, permissions and operational workflows.

The company also clarified the distinction between Claude Platform on AWS and Claude on Amazon Bedrock. Under the new platform, Anthropic operates the service and data is processed outside the AWS boundary.

By contrast, Claude on Amazon Bedrock keeps AWS as the data processor and operates within the AWS boundary, making it more suitable for customers with strict regional data residency requirements or those needing data processed exclusively within AWS infrastructure.

Why does it matter?

The launch shows how competition between major AI providers is shifting towards enterprise deployment, cloud integration and agent-based automation. For organisations, the choice is no longer only about model performance, but also about where data is processed, how access is controlled, how audit logs are handled and whether AI agents can be deployed within existing cloud governance systems.

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Singapore cooperation with Japan targets AI in patent examination

The Intellectual Property Office of Singapore and the Japan Patent Office have announced a new cooperation initiative on the use of AI in patent substantive examination, as patent offices adapt to rapid technological change.

The initiative was announced after a bilateral meeting in Singapore between IPOS Chief Executive Tan Kong Hwee and JPO Commissioner Yasuyuki Kasai. It builds on a Memorandum of Cooperation signed in Tokyo last November.

Under the initiative, IPOS and JPO will launch a bilateral patent examiner exchange programme and hold regular technical exchanges on the use of AI in patent examination. The two offices said the cooperation is intended to strengthen capabilities, share best practices and develop robust processes for high-quality and trusted patent examination.

Tan said AI is reshaping innovation and work processes, making it necessary for IP offices to evolve while maintaining examination quality and trust. Kasai said the cooperation would bring together the experience and expertise of both offices and support innovation in both countries.

The cooperation will also cover patent search and examination quality management, benchmarking of examination practices, IT infrastructure development, operational management and IP policy exchanges. Both offices will also coordinate initiatives to support enterprises, including SMEs, and strengthen trade and IP flows between Singapore and Japan.

IPOS and JPO said the partnership reflects their shared commitment to addressing emerging challenges in the intellectual property landscape and keeping innovation ecosystems trusted, efficient and future-ready.

Why does it matter?

Patent offices are increasingly facing pressure to handle more complex applications while maintaining examination quality, consistency and trust. Cooperation between Singapore and Japan on AI-assisted examination shows how intellectual property authorities are beginning to adapt their own administrative systems to AI, not only to regulate AI-related inventions.

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