Google and UNICEF launch AI-focused education partnership

Google and UNICEF have launched a global partnership focused on AI-supported education initiatives and digital learning infrastructure.

The initiative, funded through Google.org, will initially focus on Brazil, India, Pakistan, and Kenya. According to the organisations, the programme will address areas including literacy, numeracy, teacher support, and digital access.

Google said the partnership aims to combine AI tools with UNICEF’s education programmes to support localised digital learning systems. The initiative includes teacher training, educational technology deployment, and AI-supported learning tools.

Several Google AI tools, including Gemini, NotebookLM, and ReadAlong, will support the initiative. UNICEF said the programme is intended to support digital skills, AI literacy, and the integration of AI tools into classrooms.

The organisations also highlighted goals related to digital inclusion and education access in regions facing infrastructure limitations.

UNICEF said annual reports will assess programme implementation and scalability.

Why does it matter?

Governments, international organisations, and technology companies are increasingly positioning AI as a major component of future education systems. Partnerships involving AI-driven learning tools may significantly influence digital literacy, educational access, workforce preparation, and long-term economic development.

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Google launches Gemini 3.5 with advanced agentic AI capabilities

Google has announced Gemini 3.5, a new family of AI models designed to combine frontier-level reasoning with stronger agentic capabilities across consumer, developer and enterprise products.

The company is launching the series with Gemini 3.5 Flash, which it describes as its strongest agentic and coding model so far. Google said the model is built for complex, long-horizon tasks, including multi-step workflows, coding, document analysis and enterprise automation.

According to Google, Gemini 3.5 Flash outperforms Gemini 3.1 Pro on several coding and agentic benchmarks, including Terminal-Bench 2.1, GDPval-AA and MCP Atlas, while also improving multimodal reasoning. The company also claimed the model is significantly faster than other frontier models when measured by output tokens per second.

Google said the model can support agentic workflows through its Antigravity development platform, including the use of collaborative subagents for coding, financial document preparation, data analysis and other complex enterprise tasks. It also highlighted richer multimodal capabilities, including interactive web interfaces, visual reasoning and generative UI experiences.

Gemini 3.5 Flash is available through the Gemini app, AI Mode in Google Search, the Gemini API in Google AI Studio, Android Studio, Google Antigravity and Gemini Enterprise products. Google also said Gemini 3.5 Pro is being used internally and is expected to roll out next month.

The announcement also introduced Gemini Spark, a personal AI agent powered by Gemini 3.5 Flash. Google said Spark is designed to run continuously, helping users navigate digital tasks and take action under their direction. It is starting with trusted testers, with a beta planned for Google AI Ultra subscribers in the US.

Alongside performance improvements, Google said Gemini 3.5 was developed under its Frontier Safety Framework. The company said it strengthened safeguards related to cybersecurity and chemical, biological, radiological and nuclear risks, while adding safety training and interpretability tools intended to reduce harmful outputs and mistaken refusals.

The launch reflects a wider industry shift from conversational AI assistants towards systems that can plan, coordinate and execute tasks across digital environments, with major AI companies increasingly competing on agentic workflows, coding performance, multimodal interaction and enterprise integration.

Why does it matter?

Gemini 3.5 shows how the AI race is moving beyond chatbot performance towards systems that can act across software, workflows and enterprise environments. Faster agentic models could help automate coding, analysis and business operations, but they also raise governance questions around supervision, safety, accountability and how much autonomy users and organisations should give to AI agents.

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Why digital literacy is becoming a strategic necessity in the AI era

For many years, digital policy focused mainly on connectivity. Governments measured progress through broadband expansion, smartphone adoption, internet penetration, and device accessibility. Success was defined by how many people could connect to digital networks rather than by how effectively they could navigate increasingly complex digital environments.

However, AI, algorithmic recommendation systems, synthetic media, and platform-driven information ecosystems are now forcing policymakers to reconsider this approach. Access alone no longer guarantees empowerment. Citizens may be connected to the digital world while remaining vulnerable to manipulation, misinformation, cyber fraud, algorithmic bias, and AI-generated deception.

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Digital literacy is therefore evolving into something much broader than technical competence. It gradually includes media literacy, AI literacy, critical thinking, online safety awareness, privacy protection, and the ability to evaluate the credibility of information sources. In many countries, digital literacy is becoming directly linked to democratic resilience, social cohesion, economic competitiveness, and national security.

International organisations, regulators, and governments are beginning to frame digital literacy not merely as an educational issue but as a structural policy challenge. UNESCO initiatives, EU educational frameworks, online safety regulations, and national AI strategies all point to the same conclusion: societies are entering a phase where the ability to critically navigate digital systems may become as important as traditional literacy itself.

From digital access to digital judgement

The shift from access to judgement is becoming visible across multiple policy initiatives worldwide. Early digital inclusion strategies focused on closing infrastructure gaps and improving affordability. Current discussions increasingly focus on cognitive resilience and information integrity.

For example, UNESCO’s ‘Digital Citizens for Peace’ initiative in Pakistan offers a strong example of that transition. Pakistan has more than 205 million mobile subscribers and over 116 million internet users, yet UNESCO describes a growing ‘literacy-connectivity gap’. Digital access has expanded far faster than critical media literacy capabilities, leaving many users exposed to disinformation and online manipulation.

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Rather than relying only on reactive fact-checking, UNESCO’s programme seeks to foster long-term digital judgement. Young journalists and content creators participate in media and information literacy camps that combine mentorship, role-playing exercises, ethical communication practices, and collaborative learning. Participants are encouraged not only to recognise misinformation but also to understand the broader social consequences of hate speech, manipulation, and digital polarisation.

Such programmes reflect an important evolution in policymaking. Digital literacy is no longer treated as a narrow technical skill associated with operating software or navigating websites. Increasingly, policymakers view it as a civic competence linked to democratic participation and responsible engagement in digital spaces.

That transition matters because modern information environments are no longer passive. Algorithms actively shape what users see, recommend emotionally engaging material, and amplify content capable of driving interaction. We, as citizens, therefore, need to understand not only the information itself, but also the systems that distribute it.

AI raises the stakes

AI dramatically intensifies these challenges. Generative AI systems can now produce realistic text, audio, images, and video at scale, often with minimal cost or expertise required. As we already know, deepfakes, synthetic media, AI-generated propaganda, and automated misinformation campaigns are becoming easier to deploy and harder to identify.

Such developments are forcing governments and educational institutions to rethink how societies prepare citizens for digital environments increasingly influenced by AI systems.

The Council of the European Union has recently called for a ‘human-centred approach’ to AI in education, stressing that teachers must remain central to the learning process even as AI tools expand across classrooms.

Furthermore, the Council has highlighted several major risks associated with AI integration, including misinformation, algorithmic bias, unequal access to digital resources, excessive technological dependence, and data protection concerns.

Importantly, the Council has not framed AI literacy as a purely technical matter. Instead, European policymakers have emphasised critical reflection, ethical understanding, and responsible digital citizenship. Teachers are described not merely as users of AI systems, but as guides capable of helping students understand limitations, biases, and broader societal implications.

That distinction is critical. AI literacy cannot simply mean learning how to use AI tools productively. Communities also need to understand how such systems influence perception, automate decisions, and shape public discourse. Without these skills, populations may struggle to distinguish authentic information from synthetic manipulation.

As such, digital literacy increasingly intersects with cyber resilience. Individuals and organisations need to understand the emerging threats connected to synthetic media, AI-driven fraud, deepfake impersonation, and automated social engineering techniques.

Education systems are the first line of defence

Schools and universities are gradually becoming central pillars of digital resilience strategies. Educational institutions are expected to prepare students not only for labour markets shaped by AI but also for digital societies susceptible to manipulation and polarisation.

That challenge places considerable pressure on teachers. Many education systems still struggle with uneven digital infrastructure, insufficient training, and outdated curricula. AI adoption risks widening those gaps if implementation occurs without adequate preparation.

UNESCO initiatives reflect similar priorities globally. In Tanzania, UNESCO supported ICT teacher training programmes involving 139 ICT master trainers across 20 regions. 15 online ICT modules were integrated into broader professional development systems, helping educators build long-term digital competencies rather than relying on isolated workshops.

Such efforts reveal an important reality often overlooked in AI discussions. Technology alone does not transform education. Institutional capacity, teacher confidence, curriculum design, and long-term support mechanisms remain equally important.

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Education systems also face a delicate balancing act. AI tools may improve accessibility, personalise learning experiences, and reduce administrative burdens. At the same time, overreliance on automation could weaken concentration, analytical thinking, and independent problem-solving abilities among students.

Several governments are therefore attempting to preserve human oversight while embracing technological innovation. European frameworks increasingly stress ‘digital humanism’, ensuring that AI systems support rather than replace human agency and democratic values.

Misinformation and civic resilience

The relationship between digital literacy and democratic resilience is becoming increasingly direct. Misinformation campaigns no longer operate only through fringe websites or isolated propaganda channels. False narratives now spread through mainstream social platforms, encrypted messaging applications, short-form video systems, and AI-generated media.

UNESCO’s ‘Share Responsibly’ campaign in Lebanon illustrates how policymakers are attempting to address misinformation as a social behaviour problem, not just a technological issue. Rather than focusing exclusively on platforms, the campaign highlights everyday spaces such as taxis, shops, and public areas where digital misinformation circulates through ordinary conversations and social sharing practices.

UNESCO and Lebanon launch national campaign promoting media literacy and responsible information sharing.

This approach, among other national and institutional initiatives (EU, governments, etc), recognises an important reality: misinformation spreads because people trust familiar networks and emotionally engaging narratives. Digital literacy, therefore, requires behavioural and cultural dimensions alongside technical awareness.

AI further complicates this dynamic. Synthetic voices, realistic avatars, and automated content generation systems can manufacture the illusion of public consensus. Information operations become more scalable, more personalised, and potentially more persuasive.

Growing concerns around online radicalisation, conspiracy movements, and digital polarisation explain why many governments now frame digital literacy as part of broader societal resilience strategies. Citizens capable of critically assessing digital content are less vulnerable to manipulation, foreign influence operations, and emotionally driven misinformation ecosystems.

Platform design and user autonomy

Digital literacy alone cannot solve the structural problems embedded in digital platforms themselves. Society may develop stronger critical thinking skills while remaining exposed to systems intentionally designed to maximise engagement, emotional reaction, and behavioural influence.

Regulators are increasingly recognising that platform architecture matters as much as user education.

European regulators have intensified scrutiny of recommender systems, addictive platform features, and manipulative interface design. Investigations involving major technology firms increasingly focus on algorithmic amplification, dark patterns, and risks connected to minors’ online experiences.

The UK’s Ofcom has also strengthened its focus on online safety obligations involving children, illegal content, and algorithmic harms under the Online Safety Act. Such initiatives reflect a growing understanding that digital literacy must be paired with platform accountability.

UK child safety enforcement expands as Ofcom investigates adult sites over age-check compliance.

Individuals cannot realistically bear the full responsibility of navigating opaque recommendation systems, behavioural targeting mechanisms, and AI-driven engagement architectures alone. Effective digital governance requires a dual approach: empowering users while regulating platform behaviour.

That broader regulatory environment is reshaping the way policymakers think about digital citizenship. Instead of assuming neutral technological environments, governments increasingly recognise that digital systems actively influence behaviour, attention, and perception.

AI literacy and the future workforce

Digital literacy debates increasingly extend beyond democratic resilience into labour markets and economic competitiveness. AI systems are transforming workplaces across industries, forcing workers to adapt continuously to changing technological environments.

The World Economic Forum has argued that organisations succeeding with AI are redesigning workflows around human-machine collaboration rather than simply deploying technology. HR leaders are increasingly expected to oversee continuous learning systems, workforce adaptation, and AI-related reskilling strategies.

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Research by the International Labour Organization similarly highlights growing risks of inequality if lifelong learning systems fail to evolve quickly enough. Workers lacking digital and AI-related skills may face exclusion from emerging labour markets, while technological concentration could deepen economic disparities between regions and social groups.

Such developments demonstrate that digital literacy is no longer confined to classrooms. Governments increasingly view AI and digital competencies as long-term economic infrastructure linked to productivity, competitiveness, and social stability.

National frameworks and international governance

As highlighted previously, the growing strategic importance of digital literacy is visible across national and international governance frameworks. UNESCO, the EU, Canada, China, Australia, and multiple other jurisdictions are integrating AI literacy, ethical governance, and digital resilience into broader policy agendas.

China has recently launched pilot programmes for AI ethics review and governance services, focusing on risks such as algorithmic discrimination and emotional dependence. European institutions continue to expand AI education frameworks and digital rights protections.

Despite different political systems and regulatory philosophies, many governments are converging around similar concerns. AI systems simultaneously influence education, labour markets, information ecosystems, public trust, cybersecurity, and democratic participation.

That convergence explains why digital literacy is now being discussed alongside concepts such as strategic autonomy, societal resilience, and democratic stability.

Limitations and unresolved tensions

Digital literacy initiatives nevertheless face important limitations. Awareness campaigns alone cannot resolve structural inequalities, opaque algorithms, or concentrated technological power.

There is also a risk that governments and technology firms will frame digital literacy as an individual responsibility, avoiding deeper questions about platform incentives, surveillance-based business models, and algorithmic amplification.

Citizens cannot realistically detect every deepfake, evaluate every manipulated narrative, or fully understand every AI system they encounter. Excessive reliance on individual vigilance may therefore create unrealistic expectations.

Educational inequalities present another major challenge. Wealthier regions often have stronger infrastructure, better-trained educators, and greater institutional capacity to adapt curricula. Less developed areas may struggle to implement sophisticated AI literacy programmes, potentially widening global and domestic divides.

In conclusion, digital literacy is gradually evolving into one of the defining governance challenges of the AI era. Connectivity alone no longer guarantees meaningful participation in digital societies shaped by algorithms, synthetic media, and automated systems.

Governments, regulators, and international organisations are now recognising that societies require more than infrastructure and access. Citizens need the capacity to critically evaluate information, understand AI systems, recognise manipulation, and participate responsibly in digital environments.

The next phase of digital transformation will therefore not be defined solely by technological sophistication. It will instead depend on whether societies can develop individuals capable of understanding, questioning, and shaping ever more powerful digital systems rather than passively consuming them.

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US crypto usage rises to 10% in 2025, Fed reports

Crypto adoption in the United States rose to 10% of adults in 2025, up two percentage points from the previous year, according to the Federal Reserve’s latest report on the economic well-being of US households.

The figure marks a rebound from 7% in 2023 and 8% in 2024, though it remains below the 12% recorded in 2021, when the survey first asked about cryptocurrency. The Federal Reserve notes that its online survey may include respondents who are more technologically connected than the overall population.

The data shows that crypto is used far more commonly as an investment tool than as a payment method. Around 9% of adults bought or held cryptocurrency as an investment in 2025, while 2% used it to buy something or make a payment, and 1% used it to send money to friends or family.

Among adults who used cryptocurrency for financial transactions, the most common reason was that the recipient preferred cryptocurrency. Other reasons included faster transfers, privacy and lower cost.

Transactional crypto use remained more common among unbanked adults, with 6% using cryptocurrency for financial transactions compared with 2% of banked adults. The Fed also found higher transactional use among adults who used nonbank check cashing or money orders. However, it stressed that crypto use for transactions remained very low even among those groups.

Why does it matter?

The Fed’s data show that crypto use in the United States is rebounding, but it still primarily functions as an investment rather than a mainstream payment tool. Payment use remains limited, including among adults who are more likely to rely on nonbank financial services, suggesting that digital assets have not yet become a broad alternative to traditional payment systems.

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Singapore expands implementation of National AI Strategy 2.0

Singapore has outlined the continued implementation of its National AI Strategy 2.0, focusing on expanding AI adoption and innovation across sectors. According to officials, the strategy is intended to strengthen Singapore’s AI capabilities and international cooperation.

The strategy includes investment in AI-related initiatives across industry, government, and research sectors. The initiatives include support for research centres, public service applications, and AI adoption among businesses.

Government agencies are expanding AI-supported services and participating in research and knowledge-sharing initiatives. Programmes including collaborative platforms and events are intended to support ecosystem development and professional exchange.

The strategy also highlights international cooperation on AI governance, safety, and standards. These efforts form part of broader ambitions to contribute to global AI progress while advancing national capabilities in Singapore.

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World Economic Forum highlights growing role of AI in public administration

The World Economic Forum (WEF) has highlighted the growing role of AI in public administration and digital government systems.

According to Ahmed Tamim Hisham Al Kuttab of the Abu Dhabi Department of Government Enablement, future public services may become more automated and integrated across agencies.

The piece points to examples such as Abu Dhabi’s TAMM platform, which integrates more than 1,150 government services into a unified digital system. Officials said the TAMM platform uses AI-enabled systems to support service delivery and reduce administrative processes for users.

The WEF discussed how AI systems could support coordination of public services across government agencies following major life events, such as births, healthcare changes, or residency updates, reducing the need for citizens to navigate complex bureaucratic structures themselves.

The report also emphasised the importance of trust, accountability, transparency, and institutional oversight in government AI deployment. Instead, policymakers are urged to prioritise trust, accountability, transparency, and institutional legitimacy when deploying AI systems in public administration.

WEF’s report also highlights growing interest in agentic AI systems capable of coordinating workflows and executing administrative tasks autonomously. According to the report, decisions involving areas such as healthcare and legal outcomes should continue to involve human oversight and accountability.

The discussion forms part of broader international interest in AI-enabled public services and digital government infrastructure.

Why does it matter?

AI-driven public administration could fundamentally reshape state capacity, public trust, and citizen interaction with government systems, as WEF argues. Automated coordination across agencies may improve efficiency, reduce bureaucracy, and lower administrative costs. However, AI-native governance models also introduce major governance challenges involving privacy, explainability, cybersecurity, algorithmic bias, and democratic accountability. The debate reflects a wider global shift towards AI-powered digital states and intelligent public infrastructure.

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New Zealand outlines public service reforms focused on digital systems and AI

New Zealand has announced public service reforms aimed at improving efficiency, reducing duplication and expanding digital systems across government operations.

Public Service Minister Paul Goldsmith outlined plans to streamline departments and expand the use of digital systems and AI in public administration. The government said the reforms respond to public sector growth that has increased in recent years.

The programme sets a target of returning the core public service to around 55,000 employees by 2029, reversing growth that saw staffing rise from approximately 47,000 in 2017 to more than 65,000 in 2023. According to officials, projected savings are intended to support areas including healthcare, education, infrastructure, and security.

Critics, including the Public Service Association, have raised concerns that the reforms could weaken service delivery and that AI and restructuring may not adequately replace experienced workers, warning of potential disruption across essential public services.

Why does it matter? 

The reform reflects a shift towards ‘digital-first state capacity’, where governments attempt to maintain or improve service delivery while constraining headcount growth through automation, AI integration and organisational consolidation.

The approach signals an increasing reliance on data-driven and AI-enabled systems to offset labour intensity in back-office functions, while reallocating fiscal resources towards frontline services and infrastructure.

At the same time, it raises structural questions about institutional resilience, transition costs of large-scale digitisation, and whether productivity gains from AI can realistically substitute for experienced human capacity in complex public service environments.

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South Korea expands industrial policy support for AI manufacturing technologies

South Korea’s Ministry of Trade, Industry and Resources announced plans to establish an industrial growth fund to support manufacturing AI transformation and other industrial policy initiatives over the next three years.

According to the ministry, private banks managing government research and development funds pledged combined anchor investments of 1.1 trillion won for the initiative, including 620 billion won from Hana Bank. The ministry said additional private-sector investment is expected to support the fund.

A M.AX innovation fund established under the initiative will support projects related to manufacturing AI transformation, including robotics, AI factories, mobility technologies, and autonomous vessels. According to the ministry, the government aims to raise 500 billion won for the sub-fund based on an initial 100 billion won anchor investment.

The ministry also signed a cooperation agreement with banks and related agencies to provide 700 billion won in financial support programmes, including technology guarantees and trade insurance, for companies participating in research and development projects.

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China pushes deeper AI integration with advanced manufacturing

Chinese Premier Li Qiang has called for deeper integration between AI and advanced manufacturing as China seeks to accelerate the intelligent upgrading of its industrial economy.

Li made the remarks during an inspection tour of technology companies in Beijing, where he was briefed on innovation and industrial development in intelligent robotics. He described intelligent robots as a key vehicle for integrating AI with advanced manufacturing.

The premier called for stronger basic research, breakthroughs in core technologies and further exploration at the frontier of intelligent robotics. He also urged faster innovation in complete machines, key components, and intelligent decision-making and control systems to support high-quality industrial development.

Li said China should make use of its large domestic market, complete industrial chains and wide range of application scenarios to expand the intelligent robotics sector. He also said enterprises should play a leading role in industrial transformation.

Companies were encouraged to advance intelligent upgrades across the full production process, including research and development, design, manufacturing, operations management and after-sales services.

Why does it matter?

The remarks show how China is positioning AI as part of industrial modernisation, not only as a digital services technology. By linking AI with robotics, manufacturing processes and enterprise-led upgrading, Beijing is reinforcing the role of intelligent systems in productivity, competitiveness and high-quality industrial growth.

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European Commission backs €5 billion fund for AI and deep tech

The European Commission has announced that the European Innovation Council Fund Board has selected EQT as the preferred investment adviser and fund manager for the new €5 billion Scaleup Europe Fund, an initiative designed to support European deep-tech scaleups.

According to the Commission, the fund will be the largest initiative of its kind launched in Europe and forms a central pillar of the EU Startup and Scaleup Strategy. It aims to provide late-stage growth capital for European companies operating in strategic technology sectors, including AI, quantum computing, semiconductors, clean technology, biotech, medical technologies, space and dual-use technologies.

European officials said the fund is intended to address the financing gap that has often pushed promising European scaleups to seek investment outside the continent. The aim is to help more high-growth technology firms remain headquartered and operational in Europe as they expand.

EQT was selected following what the Commission described as a competitive process focused on investment expertise, fundraising capability and operational experience in scaling technology companies.

The initiative is being developed alongside several major European institutional investors and financial organisations, including Novo Holdings, Allianz, CriteriaCaixa, ABP and Santander/Mouro Capital.

The Commission said legal agreements and investor approval processes are underway, with the Scaleup Europe Fund expected to begin investment operations in autumn 2026. The initiative will also be formally presented during the EIC Summit on 3 June 2026.

Why does it matter?

he fund reflects Europe’s concern that strategic technologies such as AI, quantum computing, semiconductors, biotechnology and space are increasingly tied to economic security and geopolitical influence. By creating a large European growth-capital vehicle, the EU policymakers are trying to reduce the pressure on scaleups to rely on foreign financing or relocate abroad, while strengthening Europe’s ability to retain innovation, industrial capacity and technological leadership.

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