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UN calls for AI-driven transformation of future cities

UN organisations and urban experts have called on governments, city leaders, and the private sector to accelerate the use of AI and digital technologies to shape the future of urban life. The appeal was made during the 3rd UN Virtual Worlds Day held in Geneva.

With 70 percent of the global population expected to live in urban areas by 2050, discussions focused on the emergence of an ‘AI-enabled citiverse’ combining AI, digital twins and spatial intelligence to improve planning, infrastructure management and quality of life in cities.

Participants outlined five strategic priorities, including strengthening inclusive AI systems, improving data-driven decision-making, and ensuring responsible economic and social development. Emphasis was also placed on global cooperation and the need for common standards to guide digital urban transformation.

The conference also highlighted key risks, including governance gaps, trust and safety concerns, and widening digital divides. A joint briefing warned that the benefits of AI-driven urban systems must be distributed fairly, including to developing economies and underserved communities.

Why does it matter?

The integration of AI into urban systems signals a structural shift in how cities are designed, managed and experienced. As urbanisation accelerates globally, AI-enabled infrastructure could significantly improve efficiency, resilience and sustainability, but also risks deepening inequality if governance and access remain uneven across regions.

United Nations organisations and urban experts have called on governments, city leaders and the private sector to accelerate the use of AI and digital technologies in shaping the future of urban life. The appeal was made during the 3rd UN Virtual Worlds Day held in Geneva.

The conference also highlighted key risks such as governance gaps, trust and safety concerns, and widening digital divides. A joint briefing warned that the benefits of AI-driven urban systems must be distributed fairly, including to developing economies and underserved communities.

Why does it matter?

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Worldwide AI adoption surges, new report shows

Ireland remains one of the world’s leading markets for AI adoption, with 48.4% of its working-age population using AI tools, according to Microsoft’s Global AI Diffusion Report for the first quarter of 2026.

Microsoft said Ireland recorded a quarterly increase of 3.8 percentage points, placing it fourth globally and close to surpassing the 50% milestone. If current trends continue, Ireland could overtake Norway, which currently ranks third for AI adoption.

Globally, AI usage increased from 16.3% to 17.8% of the working-age population during the first quarter of 2026. Adoption remains uneven, with 26 economies now exceeding 30% usage, while the United Arab Emirates leads globally at 70.1%.

Regional trends show strong momentum in Asia, driven in part by improved AI capabilities for Asian languages. Microsoft said South Korea, Thailand and Japan recorded some of the greatest movement during the quarter.

At the same time, the gap between the Global North and Global South widened, with AI usage reaching 27.5% in developed regions compared with 15.4% elsewhere. Microsoft said it measures AI diffusion as the share of people aged 15 to 64 who used a generative AI product during the reported period.

Advances in AI-assisted coding also affected software development. Microsoft said global git pushes increased 78% year on year, while US software developer employment reached about 2.2 million in 2025 and was about 4% higher in March 2026 than in March 2025. The report cautions that it is still too early to determine the full labour-market impact of AI-assisted coding.

Why does it matter?

The report shows how quickly generative AI is becoming part of everyday work and digital activity, but also how uneven that adoption remains across countries and regions. If high-adoption economies continue to move faster, AI could widen existing digital and economic divides, especially where infrastructure, language support, skills and access remain weaker.

The findings also show why governments and businesses are under pressure to adapt workforce training, regulation and digital infrastructure as AI use spreads. Rising adoption may support productivity gains, but it also raises questions about who benefits, which regions fall behind and how labour markets adjust as AI tools become more embedded in software development and services.

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UNESCO report warns over global quantum research inequality

According to UNESCO, the unequal access to quantum research infrastructure risks widening global scientific and technological divides, with nearly one in three researchers worldwide still lacking access to quantum research facilities despite rapid growth in investment and interest in the field.

The findings come from The Quantum Moment: A Global Report, Outcomes of the International Year of Quantum Science and Technology, which analysed more than 1,300 quantum science events across 83 countries and included a global survey of 590 experts in 81 countries.

The report highlights major regional disparities, with Europe and North America hosting 7 times as many quantum-related events per country as Africa.

More than 150 countries still lack a national quantum strategy, even though global public and private investment in quantum science and technology reached $55.7 billion by mid-2025, according to UNESCO.

The organisation also points to a persistent gender gap, noting that while women account for a much larger share of early-career participants, they make up only around 16% of senior researchers and 12% of leadership roles in quantum fields.

UNESCO says quantum technologies could transform areas including healthcare, computing, cybersecurity, and climate modelling. To address infrastructure inequality, it has launched the Global Quantum Initiative and expanded programmes that give researchers from developing economies remote access to advanced quantum computing systems.

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MoneyGram and Kraken connect crypto and cash globally

Kraken has entered a strategic partnership with MoneyGram to enable crypto-to-cash withdrawals in more than 100 countries. The integration links digital asset infrastructure with MoneyGram’s global network, allowing users to convert crypto into hundreds of fiat currencies through physical and digital payout channels.

The service is intended to address one of the main barriers to crypto adoption by improving access to reliable off-ramps. Users will be able to transfer funds to their accounts and receive near-instant cash payouts through MoneyGram’s retail network and regulated payment infrastructure.

Both companies highlighted the importance of interoperability between traditional finance and digital assets in driving practical adoption.

Kraken stressed the value of connecting liquidity and compliance systems with established payment rails, while MoneyGram presented its global distribution network as a bridge between digital value and everyday financial use.

The rollout will begin across the United States, Europe, Latin America, Africa, and parts of Asia-Pacific, with plans to expand further into local bank deposits and additional payment services as the partnership develops.

Why does it matter?

The partnership addresses one of the main friction points in crypto adoption: converting digital assets into usable cash at scale. By linking crypto infrastructure with a global payout network, it strengthens the practical use of digital assets beyond trading and speculation.

More broadly, it reflects a gradual convergence between traditional financial rails and crypto-native systems, with interoperability becoming increasingly important to how value moves across borders.

It may also support financial inclusion by expanding access to cash-out services in regions where banking infrastructure remains limited or uneven.

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AI governance debate intensifies amid rapid global expansion

Growing concerns over the pace of AI development have prompted renewed calls for stronger regulatory oversight. Geoffrey Hinton, an AI pioneer and Nobel laureate often referred to as the ‘godfather of AI’, has warned that current systems are advancing without adequate control mechanisms.

Speaking at a United Nations-supported conference, he cautioned that the absence of effective safeguards could expose societies to significant systemic risks.

International policy discussions have intensified alongside the rapid expansion of the sector. Estimates from UNCTAD indicate that the global AI market could increase from $189 billion in 2023 to $4.8 trillion by 2033.

Despite this growth trajectory, the capacity to develop and govern such technologies remains concentrated within a limited number of jurisdictions and corporate actors. Distributional disparities continue to shape the global AI landscape.

Doreen Bogdan-Martin, Secretary-General of the International Telecommunication Union, highlighted that adoption rates in developed economies significantly outpace those in developing regions. She warned, ‘Left unaddressed, this is a second great divergence – widening the gap between countries shaping artificial intelligence and those merely consuming it’.

Structural gaps in infrastructure, investment, and technical expertise remain central to this imbalance.

Ongoing UN processes are seeking to establish a more coherent governance framework grounded in scientific evidence and multilateral cooperation.

Maria Ressa, a journalist and Nobel Peace Prize laureate, cautioned that increasingly sophisticated AI systems may facilitate ‘narrative warfare‘, contributing to institutional erosion and the spread of disinformation.

Findings from the UN’s scientific panel are expected to inform upcoming global discussions aimed at advancing transparent, accountable, and rights-based AI governance.

Why does it matter?

The pace and concentration of AI development are beginning to shape economic power, information ecosystems, and institutional stability at a global scale.

Without coordinated governance, the widening gap between advanced and developing economies risks reinforcing inequality, while misuse of AI systems may weaken trust in democratic processes through disinformation and opaque decision-making.

At the same time, the absence of shared regulatory standards increases systemic uncertainty for governments, businesses, and citizens as AI becomes embedded in essential sectors such as labour markets, education, and public services.

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AI needs digital public infrastructure to work for citizens, World Economic Forum says

The World Economic Forum says AI will only improve public services at scale if governments build on strong digital public infrastructure rather than fragmented systems and isolated pilot projects.

In a new analysis, the WEF points to digital identity, payments, and data exchange as the core layers that already support service delivery in many countries.

It argues that AI can make those systems more responsive by speeding up tasks such as identity verification, record retrieval, and payment processing.

But the Forum also warns that combining AI with digital public infrastructure will not work without clear safeguards. Interoperability, trust, and consent-based data use are presented as essential to making AI systems effective across public institutions while protecting users.

The wider message is that AI in government is no longer just a question of adoption. For countries hoping to scale public-sector AI, the bigger challenge is whether the underlying digital infrastructure is strong enough to support it.

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Pakistan approves AI education authority and virtual schools

Khyber Pakhtunkhwa Chief Minister Sohail Afridi approved the establishment of an AI Education Authority during a meeting on education reforms. The meeting reviewed progress on virtual schools and AI-based teaching systems across the province.

The initiative includes plans to launch Pakistan’s first public sector virtual school and an AI Teacher programme. Authorities were directed to complete preparations to operationalise the new body.

Officials said online learning systems have been introduced in 46 government schools on a pilot basis. Plans are in place to convert 175 additional schools into virtual schools as part of a new development programme.

The AI Teacher system currently supports subjects including English, Mathematics, Physics, Chemistry and Biology. A central digital teaching studio has been established to deliver live interactive classes and recorded lectures.

The chief minister said AI-based technologies would support personalised learning and reduce teachers’ workload. He added that virtual education systems would expand access for students in remote and underdeveloped areas.

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CNN develops agent infrastructure for AI media trading

CNN is developing an internal agent infrastructure as part of a plan to begin AI-driven media trading by early 2027. The company aims to complete protocol scoping by the end of the second quarter before moving into testing phases later in the year.

Testing will focus on how properties are interpreted by large language models and how buyers allocate budgets to agent-based systems. Executives say the timeline may change as the technology and market conditions continue to evolve.

The initiative combines in-house development with external technology partners, while aligning with industry frameworks to ensure compatibility. CNN is also working with standards bodies to ensure agent communication produces accurate outcomes for buyers.

Agentic protocols enable systems to exchange information, negotiate pricing, and manage tasks autonomously between buyers and sellers. The company is prioritising consistent communication to support efficient and reliable transactions.

Early efforts are centred on learning and experimentation, even without immediate revenue generation. Initial use cases are expected to focus on performance-driven campaigns before expanding into broader advertising activities.

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Digital services trade reshapes global economy

Global services trade is expanding rapidly, increasingly driven by digital delivery, but policymakers warn that uneven access could deepen global inequality rather than narrow it. The issue was highlighted during the 14th session of the World Trade Organisation Ministerial Conference held in Yaoundé.

Services now account for more than a quarter of global trade and have grown at more than twice the rate of goods over the past decade. Yet developing economies remain significantly underrepresented in higher-value digitally delivered services exports.

The gap is pronounced. More than 60% of services exports in advanced economies are digitally delivered, compared with just 16% in the poorest countries. Limited data availability and weaker statistical systems further reduce the ability of many states to design effective trade, digital economy, and development policies.

Efforts led by the UN Trade and Development, in cooperation with the World Trade Organisation and the World Bank, are focused on improving data collection, strengthening policy frameworks, and supporting competitiveness in services exports.

The disparity is shaping how the gains from the fastest-growing segment of global trade are distributed. Without greater inclusive access, the expansion of services risks reinforcing existing economic imbalances rather than supporting broader development.

That makes current international efforts more than a technical exercise in data and trade measurement. They are also a test of whether digital trade growth can be translated into more inclusive economic participation for countries that remain at the margins of high-value services exports.

Why does it matter?

Because digitally delivered services are becoming one of the most dynamic parts of the global economy, and the countries that cannot participate fully risk falling even further behind. The issue is no longer only about trade volumes, but about who has the infrastructure, data capacity, skills, and policy tools to benefit from the digital economy. If those gaps persist, the fastest-growing part of global trade could end up concentrating gains in already advanced markets while leaving poorer economies with limited access to the most valuable segments of cross-border services.

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Experts warn YouTube AI slop harms children and demand action

Fairplay and more than 200 experts have urged YouTube to address the spread of ‘AI slop’ targeting children. The letter was sent to Sundar Pichai and Neal Mohan, along with a petition.

The signatories state that AI-generated videos harm children’s development by distorting reality and overwhelming learning processes. They also warn that such content captures attention and is being recommended to young users, including infants and toddlers.

The letter cites findings that 40% of videos following shows like Cocomelon contained AI-generated content. It also states that 21% of Shorts recommendations included similar material, and misleading science videos were shown to older children.

Fairplay and its partners propose measures, including labelling AI content and banning it from YouTube Kids. They also call for restrictions on recommendations to under-18s and for tools that allow parents to turn off such content.

The initiative was organised by Fairplay and supported by organisations and experts, including Jonathan Haidt. The group says platforms must ensure content is safe and appropriate for children.

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