Economic Archives | Page 13 of 695 | Digital Watch Observatory

New Chinese rules restrict digital promotion of financial products

China has introduced new online marketing rules for financial products, further tightening its long-standing restrictions on cryptocurrency-related activity. The new framework limits the promotion of financial products to licensed entities and treats digital currency trading and issuance as illegal financial activity.

Issued by the People’s Bank of China and seven other regulators, the Administrative Measures for Online Marketing of Financial Products will take effect on 30 September 2026. The rules extend responsibility to platforms, intermediaries, and content creators who promote or facilitate financial products online.

Any assistance in promoting or facilitating prohibited financial activity may now be treated as participation in illegal finance, expanding enforcement beyond direct trading bans. In practice, that broadens the focus from financial products themselves to the wider digital promotion layer, including online displays, traffic generation, and other forms of internet-based marketing support.

Authorities say the measures are intended to protect consumers by limiting misleading or aggressive online promotion, including livestream marketing and viral investment content. In that sense, the rules are not only about crypto, but about tighter control over how financial products are marketed in digital environments.

The policy also reinforces China’s existing position, dating back to 2021, when regulators declared all cryptocurrency transactions illegal, while pushing enforcement deeper into the digital advertising and distribution layers of financial markets.

Why does it matter?

Stronger oversight of online financial promotion shows that crypto-related advertising is increasingly being treated as a regulatory risk category, not just a marketing issue. The Chinese move also points to a broader trend in which regulators are extending scrutiny beyond financial products themselves to the digital channels, influencers, and platforms that help distribute them.

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New whitepaper aims to streamline virtual asset oversight in Nigeria

A Pan-African industry body, the Virtual Asset Service Providers Association, has introduced Project Green-White-Green, a policy framework designed to bring virtual asset transactions more fully into Nigeria’s formal financial system.

The proposal targets regulatory inefficiencies while seeking to capture an estimated $92.1 billion in annual transaction activity currently operating with limited formal integration.

VASPA Executive Chair Franklin Peters, who also leads Boundlesspay, said the framework addresses overlapping mandates among the Securities and Exchange Commission, Central Bank of Nigeria, and Corporate Affairs Commission. The model proposes more coordinated supervision, alignment of foreign exchange standards, and identity verification through integration with the National Identity Management Commission.

The whitepaper also introduces an API-based system intended to automate VAT and capital gains tax collection at the point of transaction. The aim is to reduce administrative friction, improve compliance, and create clearer regulatory pathways for Web3 businesses operating in Nigeria.

Although designed for Nigeria, the framework is presented as scalable across other African markets. Its proponents argue that better regulatory coordination and more structured taxation could support wider economic goals, including stronger formalisation and improved public revenue collection.

Why does it matter?

The framework directly tackles regulatory fragmentation that has slowed crypto and Web3 development in Nigeria.

By aligning the roles of the Securities and Exchange Commission of Nigeria, the Central Bank of Nigeria, and the Corporate Affairs Commission of Nigeria, it aims to reduce legal uncertainty and create a clearer path for startups to operate formally.

It also introduces structured taxation and compliance mechanisms, which could improve state revenue collection while bringing virtual asset activity into the formal economy.

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UNCTAD data shows that global economic transformation gaps remain uneven

New data from the UN Conference on Trade and Development (UNCTAD) highlights how productive capacities, rather than headline growth figures, determine whether economies achieve meaningful and sustained development.

While some countries record rising GDP, structural weaknesses often prevent these gains from translating into improved living standards.

At the centre of the analysis is the Productive Capacities Index (PCI), which evaluates 43 indicators across areas such as infrastructure, human capital, energy, institutions and private sector development.

The index shifts focus from output-based metrics towards the underlying systems that enable economies to produce goods and services effectively.

The findings by UNCTAD reveal significant global disparities. Developed economies continue to outperform other regions, while developing countries have made gradual progress but have not closed the gap.

Africa remains the lowest-performing region overall, though countries such as South Africa, Tunisia and Morocco show comparatively stronger results within the continent.

Technology, particularly information and communication technologies, has been a key driver of improvement in least developed countries.

However, reliance on natural resources continues to pose risks, limiting diversification and long-term resilience.

UNCTAD’s report underscores the need for governments to adopt multidimensional policy frameworks that prioritise capacity-building instead of short-term growth indicators.

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Agentic AI to take over half of UAE public sector

The UAE has announced an ambitious government framework to integrate Agentic AI across 50% of the public sector and services within two years. Revealed at a Cabinet meeting chaired by Sheikh Mohammed bin Rashid Al Maktoum, the initiative positions AI as an operational partner managing government functions autonomously.

Agentic AI systems will be deployed to monitor developments, analyse data, recommend actions and run operational workflows without human intervention. Authorities expect the shift to improve service speed and efficiency, cut costs, and enable real-time evaluation and continuous improvements across federal entities.

The programme will roll out in phases under a dedicated task force, with performance-based assessments for government entities and leadership. A parallel focus has been placed on workforce development, with training programmes designed to equip employees with advanced AI capabilities.

The framework builds on two decades of digital transformation in the UAE, including earlier national AI strategies and smart government initiatives, and expands the country’s push towards fully integrated, data-driven governance systems.

Why does it matter?

The project marks a shift from digital tools to autonomous governance, where AI can directly run and optimise public services in real time. That raises efficiency and responsiveness, but also makes strong oversight, governance, and workforce readiness essential to ensure safe and effective implementation.

The approach could also serve as a global blueprint for large-scale government AI adoption, shaping how states modernise public services and integrate autonomous systems into core governance.

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Wikipedia-based AI model identifies 100 emerging technologies to watch in 2026

A new analysis by Australian researchers reveals how AI is reshaping the way emerging technologies are identified and tracked.

Using a dataset derived from thousands of Wikipedia entries, the researchers mapped more than 23,000 technologies to produce the ‘Momentum 100’ list, highlighting the fastest-growing technologies across science and industry.

The findings place reinforcement learning at the top, followed closely by blockchain and other rapidly advancing fields such as 3D printing, soft robotics and augmented reality.

These technologies reflect a broader shift towards data-driven innovation, where systems capable of learning, adapting and scaling are becoming central to both research and commercial applications.

Unlike traditional forecasts, which often rely on expert judgement, the model uses large-scale data analysis to detect patterns of growth and interconnection between technologies.

The approach offers a more dynamic and repeatable method, capturing early signals that might otherwise be overlooked in manual assessments.

Despite its advantages, researchers caution that predicting real-world impact remains difficult at early stages.

While AI-driven mapping provides valuable insights, policymakers and industry leaders still rely on hybrid approaches that combine data analysis with expert evaluation, as seen in frameworks developed by organisations such as the World Economic Forum.

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UK’s FCA steps up enforcement on crypto

The UK’s Financial Conduct Authority has led its first coordinated crackdown on illegal crypto trading, targeting firms operating without authorisation. The action forms part of wider efforts to enforce compliance in the sector.

According to the Authority, the operation involved identifying and taking action against companies that unlawfully promoted or offered crypto services. The move aims to protect consumers from potential risks.

The regulator stated that illegal crypto promotions can expose users to financial harm and undermine market trust. It emphasised the importance of ensuring firms meet regulatory requirements before operating.

The Authority said the crackdown reflects a stronger enforcement approach to unauthorised crypto activity, with further action expected to support market integrity in the UK.

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World Economic Forum analysis explains what drives startup growth today

Findings from the World Economic Forum (WEF) highlight a shift in how early-stage ventures grow from pilot projects into fully operational businesses.

Evidence gathered from more than 200 start-ups by UpLink, the early-stage innovation initiative by WEF, alongside investors and policymakers, suggests that scaling no longer depends primarily on innovation itself, but on the conditions enabling deployment.

Core and emerging technologies already exist across sectors, yet barriers remain in market adoption, coordination, and institutional readiness.

Resilience has moved from a strategic ambition to an immediate operational requirement. Start-ups are increasingly built around urgent, clearly defined problems, allowing them to adapt quickly in volatile environments shaped by geopolitical tensions, supply chain disruption, and climate pressures.

Strong partnerships have emerged as a central priority, with a significant majority of ventures seeking collaboration with larger corporate actors to gain access to infrastructure, regulatory pathways, and credibility.

Collaboration at early stages is proving essential in reducing risk and accelerating adoption. Traditional scaling models, based on proving technology before securing buyers, are losing effectiveness in complex sectors with high institutional risk.

Shared responsibility across multiple stakeholders enables innovation to move beyond demonstration phases into real-world application, particularly when aligned with procurement systems and regulatory frameworks.

Commercial viability has also become central to scaling success. Impact alone is no longer sufficient, as investors and buyers increasingly prioritise measurable financial outcomes such as cost efficiency, risk reduction, and resilience.

Market signals, including early contracts and partnerships, now outweigh funding rounds as indicators of credibility.

Why does it matter?

The WEF analysis underscores that scalable growth depends less on innovation alone and more on coordinated ecosystems that turn pilots into real-world adoption.

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Crypto derivatives rules face overhaul in Thailand consultation

Thailand is moving to simplify access to crypto derivatives markets through proposed regulatory changes aimed at reducing operational barriers for digital asset firms. The Securities and Exchange Commission of Thailand has opened a consultation on letting licensed crypto firms access derivatives without separate corporate entities.

Current regulations require firms to operate distinct legal structures for derivatives activity, increasing compliance costs and limiting market expansion. The proposed framework consolidates licensing under a single regulatory umbrella while maintaining oversight through internal controls and conflict management rules.

The reform reflects a broader international shift towards integrating crypto and traditional financial markets within unified trading environments. Similar momentum is visible in the United States, where discussions on crypto perpetual futures are advancing alongside increased institutional activity in derivatives infrastructure.

Market activity is already responding to anticipated changes, including acquisitions of regulated trading platforms to support expanded product offerings. These developments indicate growing alignment between regulatory evolution and industry expansion in digital asset derivatives markets.

Why does it matter?

These changes represent a broader move toward integrating crypto and traditional markets under unified regulatory frameworks. Reducing structural barriers may improve efficiency and innovation while preserving oversight.

Parallel developments across key jurisdictions also point to growing global competition to set standards for crypto derivatives, with implications for liquidity, access, and institutional participation worldwide.

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ILO sets first global framework for AI use in manufacturing sector

The International Labour Organization (ILO) has adopted its first-ever tripartite conclusions on AI in manufacturing, marking a significant policy step in addressing the sector’s digital transformation.

Agreed following a five-day technical meeting in Geneva, the framework brings together governments, employers and workers to shape how AI is integrated into one of the world’s largest employment sectors.

These ILO conclusions respond to the growing impact of AI on manufacturing, which employs nearly 500 million people globally.

Rather than focusing solely on productivity gains, the framework emphasises the need to align technological adoption with labour standards, ensuring that innovation supports decent work, strengthens enterprises and contributes to inclusive economic growth.

Key provisions address skills development, lifelong learning and occupational safety, alongside the protection of fundamental rights at work.

The framework also highlights the importance of social dialogue, recognising that collaboration between stakeholders is essential to managing AI-driven change and mitigating potential disruptions to employment and working conditions.

An agreement that reflects a broader effort to balance efficiency with worker protection, rejecting the notion that productivity and labour rights are competing priorities.

Instead, it positions AI as a tool that, if properly governed, can enhance both economic performance and job quality within the manufacturing sector.

The conclusions will be submitted to the ILO Governing Body in November 2026 for formal approval, with the intention of guiding national policies and international approaches to AI deployment in industry.

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UNESCO launches regional observatory on AI in education in Latin America and the Caribbean

UNESCO has launched a new regional platform on AI in education for Latin America and the Caribbean, aiming to help governments respond to both a deep learning crisis and the rapid spread of AI tools in schools and universities.

Called the Observatory on Artificial Intelligence in Education for Latin America and the Caribbean, the initiative was launched on 14 April in Santiago, Chile, during the 2026 Forum of the Countries of Latin America and the Caribbean on Sustainable Development.

UNESCO presents the Observatory as the first regional platform anchored in the UN system dedicated to AI in education in Latin America and the Caribbean. It is designed as a multistakeholder mechanism bringing together the region’s 33 ministries of education, along with universities, research centres, teachers, and strategic partners, to generate evidence, strengthen capacities, and support public decision-making on how AI should be used in education.

The initiative is being framed as a response to two pressures at once. UNESCO says the region faces a serious learning crisis, while AI tools are spreading rapidly through classrooms and education systems, with uneven guidance and limited institutional preparedness. In that context, the Observatory is meant to support more context-specific policy development, stronger teacher training, and classroom-tested innovation within ethical frameworks, rather than leaving AI adoption to fragmented local experimentation.

That gives the launch a significance beyond a standard education technology initiative. The core argument is not simply that AI should be introduced into schools, but that governments need a shared regional capacity to shape its use. UNESCO sums that up with a simple principle: AI should not govern education; education should govern AI.

The Observatory is being developed with a broad coalition of regional and international partners, including the Development Bank of Latin America and the Caribbean, Chile’s National Centre for Artificial Intelligence, the Regional Centre for Studies on the Development of the Information Society, ECLAC, the Ceibal Foundation, Fundación Santillana, Tecnológico de Monterrey, ProFuturo, the Universidad del Desarrollo in Chile, and the International Research Centre on Artificial Intelligence. Its advisory council also includes the OECD, the Organisation of Ibero-American States, experts from Harvard University, and the UN Independent International Scientific Panel on AI.

Why does it matter?

The story shows UNESCO moving from broad principles on ethical AI to a more concrete regional governance model. Rather than issuing another general call for responsible AI in education, it is trying to build an institutional platform that can connect evidence, policy, teacher capacity, and public oversight across Latin America and the Caribbean.

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