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India expands 5G coverage nationwide

The 5G footprint of India has expanded across all states and union territories, with services now reaching 99.9% of districts.

Telecom service providers have installed more than 5 lakh 5G base stations, contributing to a broader network of over 31 lakh sites nationwide. The government has emphasised the importance of reliable coverage in both rural and urban regions.

Efforts to strengthen connectivity in underserved areas continue through BharatNet, new mobile services in Left Wing Extremism (LWE)-affected regions, support for Aspirational Districts and the 4G Saturation Scheme, which aims to bring coverage to every uncovered village.

Streamlined Right of Way rules and faster approval for using street furniture have created an environment where operators can deploy small cells more efficiently, rather than facing long administrative delays.

As 5G coverage expands nationwide, operators are preparing for a future driven by AI workloads rather than traditional network demands. Private and state providers are both expanding infrastructure, often sharing facilities when it is technically and commercially viable.

The government of India has emphasised that coordinated planning will be crucial for managing the increasing digital traffic.

Seven working groups under the Bharat 6G Alliance have outlined progress on India’s next-generation roadmap. The communications minister has emphasised that spectrum policy, device readiness, applications and sustainability need to align so innovation can mature.

Monthly joint reviews will be conducted to ensure that breakthroughs in one domain can lead to practical outcomes in other areas, supporting India’s long-term 6G strategy.

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India expands job access with AI-powered worker platforms

India is reshaping support for its vast informal workforce through e-Shram, a national database built to connect millions of people to social security and better job prospects.

The database works together with the National Career Service portal, and both systems run on Microsoft Azure.

AI tools are now improving access to stable employment by offering skills analysis, resume generation and personalised career pathways.

The original aim of e-Shram was to create a reliable record of informal workers after the pandemic exposed major gaps in welfare coverage. Engineers had to build a platform capable of registering hundreds of millions of people while safeguarding sensitive data.

Azure’s scalable infrastructure allowed the system to process high transaction volumes and maintain strong security protocols. Support reached remote areas through a network of service centres, helped further by Bhashini, an AI language service offering real-time translation in 22 Indian languages.

More than 310 million workers are now registered and linked to programmes providing accident insurance, medical subsidies and housing assistance. The integration with NCS has opened paths to regulated work, often with health insurance or retirement savings.

Workers receive guidance on improving employability, while new features such as AI chatbots and location-focused job searches aim to help those in smaller cities gain equal access to opportunities.

India is using the combined platforms to plan future labour policies, manage skill development and support international mobility for trained workers.

Officials also hope the digital systems will reduce reliance on job brokers and strengthen safe recruitment, including abroad through links with the eMigrate portal.

The government has already presented the platforms to international partners and is preparing to offer them as digital public infrastructure for other countries seeking similar reforms.

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EIB survey shows EU firms lead in investment, innovation and green transition

European firms continue to invest actively despite a volatile global environment, demonstrating resilience, innovation, and commitment to sustainability, according to the European Investment Bank (EIB) Group’s 2025 Investment Survey.

Across the EU, companies are expanding capacity, adopting advanced digital technologies, and pursuing green investment to strengthen competitiveness.

Spanish firms, for example, are optimistic about their sector, prioritising capacity growth, using generative AI, and investing in energy efficiency and climate risk insurance.

Digital transformation is accelerating across the continent. Austrian and Finnish firms stand out for their extensive adoption of generative AI and multiple advanced digital tools, while Belgian companies excel in integrating digital technologies alongside green initiatives.

Czech firms devote a larger share of investment to capacity expansion and innovation, with high engagement in international trade and strategic use of digital solutions. These trends are highlighted in country-level EIB reports and reflect broader European patterns.

The green transition remains central to corporate strategies. Many firms actively reduce emissions, improve energy efficiency, and view sustainability as a business opportunity rather than a regulatory burden.

In Belgium, investments in energy efficiency and waste reduction are among the highest in the EU, while nearly all Finnish companies report taking measures to reduce greenhouse gases.

Across Europe, firms increasingly combine environmental action with innovation to maintain competitiveness and resilience.

Challenges persist, including skills shortages, uncertainty, high energy costs, and regulatory complexity. Despite these obstacles, European businesses continue to innovate, expand, and embrace international trade.

EIB surveys show that firms are leveraging technology and green investments not only to navigate economic uncertainty but also to position themselves for long-term growth and strategic advantage in a changing global landscape.

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Trump allows Nvidia to sell chips to approved Chinese customers

US President Donald Trump has allowed Nvidia to sell H200 AI chips to approved customers in China, marking a shift in export controls. The decision also covers firms such as AMD and follows continued lobbying by Nvidia chief executive Jensen Huang.

Nvidia had been barred from selling advanced chips to Beijing, but a partial reversal earlier required the firm to pay a share of its Chinese revenues to the US government. China later ordered firms to stop buying Nvidia products, pushing them towards domestic semiconductors.

Analysts suggest the new policy may buy time for negotiations over rare earth supplies, as China dominates processing of these minerals. Access to H200 chips may aid China’s tech sector, but experts warn they could also strengthen military AI capabilities.

Nvidia welcomed the announcement, saying the decision strikes a balance that benefits American industry. Shares rose slightly after the news, although the arrangement is expected to face scrutiny from national security advocates.

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Australia seals $4.6 billion deal for new AI hub

OpenAI has partnered with Australian data centre operator NextDC to build a major AI campus in western Sydney. The companies signed an agreement covering development, planning and long-term operation of the vast site.

NextDC said the project will include a supercluster of graphics processors to support advanced AI workloads. Both firms intend to create infrastructure capable of meeting rapid global demand for high-performance computing.

Australia estimates the development at A$7 billion and forecasts thousands of jobs during construction and ongoing roles across engineering and operations. Officials say the initiative aligns with national efforts to strengthen technological capability.

Plans feature renewable energy procurement and cooling systems that avoid drinking water use, addressing sustainability concerns. Treasurer Jim Chalmers said the project reflects growing confidence in Australia’s talent, clean energy capacity and emerging AI economy.

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Starlink gains ground in South Korea’s telecom market

South Korea has gained nationwide satellite coverage as Starlink enters the market and expands the country’s already advanced connectivity landscape.

The service offers high-speed access through a dense LEO network and arrives with subscription options for households, mobile users and businesses.

Analysts see meaningful benefits for regions that are difficult to serve through fixed networks, particularly in mountainous areas and offshore locations.

Enterprise interest has grown quickly. Maritime operators moved first, with SK Telink and KT SAT securing contracts as Starlink went live. Large fleets will now adopt satellite links for navigation support, remote management and stronger emergency communication.

The technology has also reached the aviation sector as carriers under Hanjin Group plan to install Starlink across all aircraft, aiming to introduce stable in-flight Wi-Fi from 2026.

Although South Korea’s fibre and 5G networks offer far higher peak speeds, Starlink provides reliability where terrestrial networks cannot operate. Industry observers expect limited uptake from mainstream households but anticipate significant momentum in maritime transport, aviation, construction and energy.

An expansion in South Korea that marks one of Starlink’s most strategic Asia-Pacific moves, driven by industrial demand and early partnerships.

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OpenAI launches nationwide AI initiative in Australia

OpenAI has launched OpenAI for Australia, a nationwide initiative to unlock the economic and societal benefits of AI. The program aims to support sovereign AI infrastructure, upskill Australians, and accelerate the country’s local AI ecosystem.

CEO Sam Altman highlighted Australia’s deep technical talent and strong institutions as key factors in becoming a global leader in AI.

A significant partnership with NEXTDC will see the development of a next-generation hyperscale AI campus and large GPU supercluster at Sydney’s Eastern Creek S7 site.

The project is expected to create thousands of jobs, boost local supplier opportunities, strengthen STEM and AI skills, and provide sovereign compute capacity for critical workloads.

OpenAI will also upskill more than 1.2 million Australians in collaboration with CommBank, Coles and Wesfarmers. OpenAI Academy will provide tailored modules to give workers and small business owners practical AI skills for confident daily use.

The nationwide rollout of courses is scheduled to begin in 2026.

OpenAI is launching its first Australian start-up program with local venture capital firms Blackbird, Square Peg, and AirTree to support home-grown innovation. Start-ups will receive API credits, mentorship, workshops, and access to Founder Day to accelerate product development and scale AI solutions locally.

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Google boosts Nigeria’s AI development

The US tech giant, Google, has announced a $2.1 million Google.org commitment to support Nigeria’s AI-powered future, aiming to strengthen local talent and improve digital safety nationwide.

An initiative that supports Nigeria’s National AI Strategy and its ambition to create one million digital jobs, recognising the economic potential of AI, which could add $15 billion to the country’s economy by 2030.

The investment focuses on developing advanced AI skills among students and developers instead of limiting progress to short-term training schemes.

Google will fund programmes led by expert partners such as FATE Foundation, the African Institute for Mathematical Sciences, and the African Technology Forum.

Their work will introduce advanced AI curricula into universities and provide developers with structured, practical routes from training to building real-world products.

The commitment also expands digital safety initiatives so communities can participate securely in the digital economy.

Junior Achievement Africa will scale Google’s ‘Be Internet Awesome’ curriculum to help families understand safe online behaviour, while the CyberSafe Foundation will deliver cybersecurity training and technical assistance to public institutions, strengthening national digital resilience.

Google aims to create more opportunities similar to those of Nigerian learners who used digital skills to secure full-time careers instead of remaining excluded from the digital economy.

By combining advanced AI training with improved digital safety, the company intends to support inclusive growth and build long-term capacity across Nigeria.

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Mistral AI unveils new open models with broader capabilities

Yesterday, Mistral AI introduced Mistral 3 as a new generation of open multimodal and multilingual models that aim to support developers and enterprises through broader access and improved efficiency.

The company presented both small dense models and a new mixture-of-experts system called Mistral Large 3, offering open-weight releases to encourage wider adoption across different sectors.

Developers are encouraged to build on models in compressed formats that reduce deployment costs, rather than relying on heavier, closed solutions.

The organisation highlighted that Large 3 was trained with extensive resources on NVIDIA hardware to improve performance in multilingual communication, image understanding and general instruction tasks.

Mistral AI underlined its cooperation with NVIDIA, Red Hat and vLLM to deliver faster inference and easier deployment, providing optimised support for data centres along with options suited for edge computing.

A partnership that introduced lower-precision execution and improved kernels to increase throughput for frontier-scale workloads.

Attention was also given to the Ministral 3 series, which includes models designed for local or edge settings in three sizes. Each version supports image understanding and multilingual tasks, with instruction and reasoning variants that aim to strike a balance between accuracy and cost efficiency.

Moreover, the company stated that these models produce fewer tokens in real-world use cases, rather than generating unnecessarily long outputs, a choice that aims to reduce operational burdens for enterprises.

Mistral AI continued by noting that all releases will be available through major platforms and cloud partners, offering both standard and custom training services. Organisations that require specialised performance are invited to adapt the models to domain-specific needs under the Apache 2.0 licence.

The company emphasised a long-term commitment to open development and encouraged developers to explore and customise the models to support new applications across different industries.

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NVIDIA platform lifts leading MoE models

Frontier developers are adopting a mixture-of-experts architecture as the foundation for their most advanced open-source models. Designers now rely on specialised experts that activate only when needed instead of forcing every parameter to work on each token.

Major models, such as DeepSeek-R1, Kimi K2 Thinking, and Mistral Large 3, rise to the top of the Artificial Analysis leaderboard by utilising this pattern to combine greater capability with lower computational strain.

Scaling the architecture has always been the main obstacle. Expert parallelism requires high-speed memory access and near-instant communication between multiple GPUs, yet traditional systems often create bottlenecks that slow down training and inference.

NVIDIA has shifted toward extreme hardware and software codesign to remove those constraints.

The GB200 NVL72 rack-scale system links seventy-two Blackwell GPUs via fast shared memory and a dense NVLink fabric, enabling experts to exchange information rapidly, rather than relying on slower network layers.

Model developers report significant improvements once they deploy MoE designs on NVL72. Performance leaps of up to ten times have been recorded for frontier systems, improving latency, energy efficiency and the overall cost of running large-scale inference.

Cloud providers integrate the platform to support customers in building agentic workflows and multimodal systems that route tasks between specialised components, rather than duplicating full models for each purpose.

Industry adoption signals a shift toward a future where efficiency and intelligence evolve together. MoE has become the preferred architecture for state-of-the-art reasoning, and NVL72 offers a practical route for enterprises seeking predictable performance gains.

NVIDIA positions its roadmap, including the forthcoming Vera Rubin architecture, as the next step in expanding the scale and capability of frontier AI.

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