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Global AI adoption reaches record levels in 2025

Global adoption of generative AI continued to rise in the second half of 2025, reaching 16.3 percent of the world’s population. Around one in six people now use AI tools for work, learning, and problem-solving, marking rapid progress for a technology still in its early years.

Adoption remains uneven, with the Global North growing nearly twice as fast as the Global South. Countries with early investments in digital infrastructure and AI policies, including the UAE, Singapore, and South Korea, lead the way.

South Korea saw the most significant gain, rising seven spots globally due to government initiatives, improved Korean-language models, and viral consumer trends.

The UAE maintains its lead, benefiting from years of foresight, including early AI strategy, dedicated ministries, and regulatory frameworks that foster trust and widespread usage.

Meanwhile, open-source platforms such as DeepSeek are expanding access in underserved markets, including Africa, China, and Iran, lowering financial and technical barriers for millions of new users.

While AI adoption grows globally, disparities persist. Policymakers and developers face the challenge of ensuring that the next wave of AI users benefits broader communities, narrowing divides rather than deepening them.

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AI sovereignty test in South Korea reaches a critical phase

South Korea’s flagship AI foundation model project has entered a decisive phase after accusations that leading participants relied on foreign open source components instead of building systems entirely independently.

The controversy has reignited debate over how ‘from scratch’ development should be defined within government-backed AI initiatives aimed at strengthening national sovereignty.

Scrutiny has focused on Naver Cloud after developers identified near-identical similarities between its vision encoder and models released by Alibaba, alongside disclosures that audio components drew on OpenAI technology.

The dispute now sits with the Ministry of Science and ICT, which must determine whether independence applies only to a model’s core or extends to all major components.

An outcome that is expected to shape South Korea’s AI strategy by balancing deeper self-reliance against the realities of global open-source ecosystems.

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AI could optimise power grids and reduce energy waste

AI could help make power grids cleaner and more efficient while reducing energy waste, even as data centres powering generative models consume increasing amounts of electricity. Researchers are exploring ways to balance these demands with optimisation techniques.

Accurate predictions of renewable energy availability using AI can help grid operators integrate solar and wind power more effectively. AI can solve complex optimisation problems, quickly and accurately managing power generation, battery use, and flexible loads.

Beyond real-time operations, AI can enhance grid planning and predictive maintenance, identifying potential faults before they lead to outages.

Application-specific AI models can support decarbonisation strategies and enable the integration of more renewable energy while keeping energy costs and environmental impacts in check.

Experts caution that not all AI development in the energy sector is equally beneficial. Large, general-purpose models are highly resource-intensive, whereas smaller, targeted models offer measurable advantages in terms of grid efficiency and sustainability.

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Portugal government backs AI with €400 million plan

Portugal has announced a €400 million investment in AI over the period 2026-2030, primarily funded by European programmes. The National Artificial Intelligence Agenda (ANIA) and its Action Plan (PAANIA) aim to strengthen Portugal’s position in AI research, industry, and innovation.

The government predicts AI could boost the country’s GDP by €18-22 billion in the next decade. Officials highlight Portugal’s growing technical talent pool, strong universities and research centres, renewable energy infrastructure, and a dynamic start-up ecosystem as key advantages.

Key projects include establishing AI gigafactories and supercomputing facilities to support research, SMEs, and start-ups, alongside a National Data Centre Plan aimed to simplifying licensing and accelerating the sector.

Early investments of €10 million target AI applications in public administration, with a total of €25 million planned.

Sectoral AI Centres will focus on healthcare and industrial robotics, leveraging AI to enhance patient care, improve efficiency, and support productivity, competitiveness, and the creation of skilled jobs.

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Amazon makes Alexa+ available in web browsers

Growing demand for AI assistants has pushed Amazon to open access to Alexa+ through a web browser for the first time.

Early-access users in the US and Canada can now sign in through Alexa.com, allowing interaction with the service without relying solely on Echo devices or the mobile app.

Amazon has positioned the move as part of a broader effort to keep pace with rivals such as OpenAI, Google and Anthropic in the generative AI space.

Alexa+ is designed to operate as an intelligent personal assistant instead of a simple voice tool. Users can manage travel bookings, restaurant reservations, home automation and weekly meal planning while maintaining personalised preferences and chat history across devices.

Prime subscribers will eventually receive the paid service at no extra charge, and Amazon says tens of millions already have access.

Amazon expects availability to expand over time as the company places greater emphasis on AI-driven consumer services. Web-based access marks an effort to ensure the assistant is reachable wherever users connect, rather than being tied only to Amazon hardware.

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SoftBank invests $4 billion in global AI networks

SoftBank Group has agreed to acquire DigitalBridge for $4 billion, strengthening its global digital infrastructure capabilities. The move aims to scale data centres, connectivity, and edge networks to support next-generation AI services.

The acquisition aligns with SoftBank’s mission to develop Artificial Super Intelligence (ASI), providing the compute power and connectivity needed to deploy AI at scale.

DigitalBridge’s global portfolio of data centres, cell towers, fibre networks, and edge infrastructure will enhance SoftBank’s ability to finance and operate these assets worldwide.

DigitalBridge will continue to operate independently under CEO Marc Ganzi. The transaction, valued at a 15% premium to its closing share price, is expected to close in the second half of 2026, pending regulatory approval.

SoftBank and DigitalBridge anticipate that the combined resources will accelerate investments in AI infrastructure, supporting the rapid growth of technology companies and fostering the development of advanced AI applications.

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AI can mislead on tides and outdoor safety

UK outdoor enthusiasts are warned not to rely solely on AI for tide times or weather. Errors recently stranded visitors on Sully Island, showing the limits of unverified information.

Maritime authorities recommend consulting official sources such as the UK Hydrographic Office and Met Office. AI tools may misread tables or local data, making human oversight essential for safety.

Mountain rescue teams report similar issues when inexperienced walkers used AI to plan trips. Even with good equipment, lack of judgement can turn minor errors into dangerous situations.

Practical experience, professional guidance, and verified data remain critical for safe outdoor activities. Relying on AI alone can create serious risks, especially on tidal beaches and challenging mountain routes.

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Kazakhstan climbs global AI readiness ranking

Kazakhstan has risen to 60th place out of 195 countries in the 2025 Government AI Readiness Index, marking a 16-place improvement and highlighting a year of accelerated institutional and policy development.

The ranking, compiled by Oxford Insights, measures governments’ ability to adopt and manage AI across public administration, the economy, and social systems.

At a regional level, Kazakhstan now leads Central Asia in AI readiness. A strong performance in the Public Sector Adoption pillar, with a score of 73.59, reflects the widespread use of digital services, e-government platforms, and a shift toward data-led public service delivery.

The country’s advanced digital infrastructure, high internet penetration, and mature electronic government ecosystem provide a solid foundation for scaling AI nationwide.

Political and governance initiatives have further strengthened Kazakhstan’s position. In 2025, the government enacted its first comprehensive AI law, which covers ethics, safety, and digital innovation.

At the same time, the Ministry of Digital Development, Innovation and Aerospace Industry was restructured into a dedicated Ministry of Artificial Intelligence and Digital Development, signalling the government’s commitment to making AI a central policy priority.

Kazakhstan’s progress demonstrates how a focused policy, infrastructure, and institutional approach can enhance AI readiness, enabling the responsible and effective integration of AI across public and economic sectors.

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India to showcase local AI apps at impact summit

India’s technology ministry plans to showcase more than 100 homegrown applications at an upcoming AI Impact Summit. The event aims to highlight locally developed tools across public services and industry.

Officials say the initiative supports domestic innovation while reducing reliance on foreign technology platforms. Priority areas include governance, healthcare, education and small business productivity.

The ministry intends to promote practical AI adoption rather than experimental research. Developers will demonstrate solutions already deployed or nearing commercial readiness.

The showcase reflects India’s broader strategy to position local firms within global AI supply chains. Indian policymakers view applied AI as central to economic growth.

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Romania investigates large scale cyber attack on national water body

Authorities in Romania have confirmed a severe ransomware attack on the national water administration ‘Apele Române’, which encrypted around 1,000 IT systems across most regional water basin offices.

Attackers used Microsoft’s BitLocker tool to lock files and then issued a ransom note demanding contact within seven days, although cybersecurity officials continue to reject any negotiation with criminals.

The disruption affected email systems, databases, servers and workstations instead of operational technology, meaning hydrotechnical structures and critical water management systems continued to function safely.

Staff coordinated activity by radio and telephone, and flood defence operations remained in normal working order while investigations and recovery progressed.

National cyber agencies, including the National Directorate of Cyber Security and the Romanian Intelligence Service’s cyber centre, are now restoring systems and moving to include water infrastructure within the state cyber protection framework.

The case underlines how ransomware groups increasingly target essential utilities rather than only private companies, making resilience and identity controls a strategic priority.

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