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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UK ministers advance energy plans for AI expansion

The final AI Energy Council meeting of 2025 took place in London, led by AI Minister Kanishka Narayan alongside energy ministers Lord Vallance and Michael Shanks.

Regulators and industry representatives reviewed how the UK can expedite grid connections and support the necessary infrastructure for expanding AI activity nationwide.

Council members examined progress on government measures intended to accelerate connections for AI data centres. Plans include support for AI Growth Zones, with discounted electricity available for sites able to draw on excess capacity, which is expected to reduce pressure in the broader network.

Ministers underlined AI’s role in national economic ambitions, noting recent announcements of new AI Growth Zones in North East England and in North and South Wales.

They also discussed how forthcoming reforms are expected to help deliver AI-related infrastructure by easing access to grid capacity.

The meeting concluded with a focus on long-term energy needs for AI development. Participants explored ways to unlock additional capacity and considered innovative options for power generation, including self-build solutions.

The council will reconvene in early 2026 to continue work on sustainable approaches for future AI infrastructure.

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AI growth threatens millions of jobs across Asia

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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Data centre power demand set to triple by 2035

Data centre electricity use is forecast to surge almost threefold by 2035. BloombergNEF reported that global facilities are expected to consume around 106 gigawatts by then.

Analysts linked the growth to larger sites and rising AI workloads, pushing utilisation rates higher. New projects are expanding rapidly, with many planned facilities exceeding 500 megawatts.

Major capacity is heading to states within the PJM grid, alongside significant additions in Texas. Regulators warned that grid operators must restrict connections when capacity risks emerge.

Industry monitors argued that soaring demand contributes to higher regional electricity prices. They urged clearer rules to ensure reliability as early stage project numbers continue accelerating.

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Europe boosts defence with Leonardo’s Michelangelo Dome

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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Mixx and MVola services grow under Axian’s partnership with Mastercard

Axian Group has entered a strategic partnership with Mastercard to expand digital payment services across its mobile network markets. The collaboration covers virtual and physical cards under the Mixx and MVola brands. Both companies say the tools will enable safer, faster cross-border payments.

Consumers will activate and top up virtual cards via the Mixx and MVola apps in markets such as Madagascar and the Comoros. Axian says real-time monitoring features will simplify international transactions. The rollout is designed to broaden financial access through mobile channels.

Axian’s fintech lead, Erwan Gelebart, says the initiative will help SMEs and entrepreneurs in Senegal and Togo adopt secure mobile-payment tools. He argues the partnership strengthens local digital ecosystems. Mastercard sees the cooperation as part of wider financial-inclusion efforts.

Mastercard executive Mete Guney says the collaboration will expand secure digital-payment infrastructure in Tanzania and neighbouring regions. He says new services aim to improve how people pay and get paid. The companies plan phased deployment as demand grows.

Axian rebranded its mobile units to Yas in 2024 across Madagascar, Comoros, Senegal, Togo and Tanzania. Its financial services arms now operate as Mixx by Yas. The new merchant and card tools build on this unified-market strategy.

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Fraud and scam cases push FIDReC workloads to new highs

FIDReC recorded 4,355 claims in FY2024/2025, marking its highest volume in twenty years and a sharp rise from the previous year. Scam activity and broader dispute growth across financial institutions contributed to the increase. Greater public awareness of the centre’s role also drove more filings.

Fraud and scam disputes climbed to 1,285 cases, up more than 50% and accounting for nearly half of all claims. FIDReC accepted 2,646 claims for handling, with early resolution procedures reducing formal caseload growth. The phased approach encourages direct negotiation between consumers and providers.

Chief Executive Eunice Chua said rising claim volumes reflect fast-evolving financial risks and increasingly complex products. National indicators show similar pressures, with Singapore ranked second globally for payment card scams. Insurance fraud reports also continued to grow during the year.

Compromised credentials accounted for most scam-related cases, often involving unauthorised withdrawals or card charges. Consumers reported incidents without knowing how their details were obtained. The share of such complaints rose markedly compared with the previous year.

Banks added safeguards on large digital withdrawals as part of wider anti-scam measures. Regulators introduced cooling-off periods, stronger information sharing and closer monitoring of suspicious activity. Authorities say the goal is to limit exposure to scams and reinforce public confidence.

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Estonia invests in Germany to strengthen European tech independence

During an official visit to Germany, Prime Minister Kristen Michal joined Saxony’s Minister President Michael Kretschmer to open a new Skeleton Technologies factory near Leipzig, underlining Estonia’s long-term commitment to European technological development.

An investment of 220 million euros that marks the most significant industrial commitment an Estonian company has made in Germany and reflects a shift towards mutual economic engagement.

The factory produces supercapacitors that aim to reduce energy consumption in AI data centres while enhancing the reliability of the power grid.

Michal noted that the relationship between the two countries has entered a new phase, as Estonia is now investing in Germany, rather than only receiving investment. He pointed to Germany’s industrial capacity and Estonia’s digital expertise as complementary strengths.

The project benefited from financial and strategic support through programmes such as EUBatIn, while partnerships with Siemens and Marubeni strengthened the technological foundation of the initiative.

Cooperation between Estonia and Saxony already extends across innovation, microelectronics and digital public services.

Several Estonian technology firms operate in the region, while universities in both countries maintain active collaboration in engineering, IT and business administration. These links continue to grow and support talent, research and industrial development.

The new factory is presented as a practical step towards European technological resilience, as the components used in the supercapacitors are sourced from European suppliers.

Estonian officials argue that Europe must develop and produce key technologies instead of relying on external suppliers. The opening of the plant is seen as the beginning of broader cooperation in IT, green technology, defence and advanced manufacturing.

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