Insights

The civic life journey framework explores individuals' evolving relationships with society across life stages, shaped by factors like age, location, disability, and culture. It emphasizes three core components: civic literacy, participation, and connection. Transition points, such as entering or leaving the workforce, influence engagement preferences and opportunities. National data reveal declining civic knowledge and sense of belonging, especially among youth, alongside feelings of being unheard in public decisions. However, active community involvement correlates with higher trust and satisfaction in democracy. This approach aims to identify barriers and target support to enhance meaningful civic engagement throughout the life course.
Education
Mapping the hot spots and cold spots across our civic life journey: data shows ways to improve access to civic engagement and participation
Knowledge work, involving creative and judgment-based problem solving, constitutes a significant share of employment in advanced and emerging economies and is crucial for sustained economic growth. Generative AI is increasingly applied in this sector, raising the possibility of democratizing knowledge work by broadening who can participate and benefit. However, challenges remain regarding who uses AI and who gains from it. Addressing these issues requires coordinated technical and policy interventions to ensure widespread benefits, including enhancing AI accessibility and literacy to close participation gaps and equitably share productivity gains.
Education
AI and the democratization of knowledge work
Financial stability communication focuses on identifying vulnerabilities and explaining how the financial system might respond to adverse shocks rather than predicting crises or their timing. The ECB uses a broad concept of financial stability involving resource allocation, risk management, and shock absorption. Analysis of the ECB’s Financial Stability Review over two decades compares dictionary-based, FinBERT, and AI prompt-based methods for extracting financial sentiment, finding consistent trends across approaches. GPT-based filters uniquely identify explicit risk assessments and subtle tonal shifts, aiding risk monitoring and drafting consistency. However, these AI tools complement rather than replace expert judgment, vulnerability analysis, and stress testing. Additionally, AI can systematically extract financial news data to create indicators for the severity and likelihood of financial risks.
Financial services
From dictionaries to AI: a new era in sentiment analysis for financial stability
National strategies for responsible and rapid AI adoption in Asia hinge on nine key factors: trusted datasets, AI infrastructure, AI skills and awareness, global AI value chain leverage, ethical AI development, misinformation governance, AI governance frameworks and institutions, environmental sustainability, and cybersecurity. These domains are critical because gaps in measurable progress can hinder adoption, reduce public trust, or concentrate power detrimentally. While standardized metrics are not yet established across Asian economies, consistent policy patterns and stakeholder input provide a foundation to develop measurement frameworks, emphasizing the importance of a coordinated approach to building trusted AI ecosystems.
Education
Designing Metrics to Enable Trusted AI Ecosystems in Asia
National AI strategies encompass varied governance models and objectives beyond the common American innovation-led, European regulation-focused, and Chinese state-led frameworks. Analysis of 56 country strategies reveals these models do not neatly categorize nations; instead, countries combine distinct governance orientations (ethics and regulation versus growth and innovation) with diverse functional emphases (including public services, data infrastructure, workforce, and climate). Clustering these approaches identifies four archetypes reflecting unique priorities, showing that AI governance is more complex and varied globally than the dominant three-model narrative suggests.
Algeria, Angola, Armenia, Austria, Bahrain, Barbados, Belgium, Bolivia, Bulgaria, Cyprus, Denmark, Estonia, Eswatini, Finland, Georgia, Germany, Ghana, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Jamaica, Japan, Kenya, Latvia, Lithuania, Luxembourg, Madagascar, Malaysia, Mali, Malta, Mauritania, Mauritius, Mongolia, Namibia, Netherlands, New Zealand, Oman, Panama, Poland, Portugal, Republic of Korea, Russian Federation, Seychelles, Singapore, Slovenia, South Africa, Sweden, Taiwan, China, Tanzania, Thailand, Uganda, Ukraine, United Kingdom, Zambia, Zimbabwe | Education
How countries write their AI strategies – mapping the many models of governance
European universities face significant financial and political challenges amid mass higher education enrollment and strained government budgets. Despite widespread tertiary education access, institutions grapple with falling real spending per student, rising operational costs, and fierce international competition for research talent. While countries like England rely on student fees and loans, many European nations maintain free tuition, deepening fiscal dependence on limited government funds. Political resistance to high fees and international student growth, as seen in France and the Netherlands, exacerbates financial pressures. Growing public skepticism and cultural-political tensions further threaten academic autonomy and the sector’s societal value.
Latin America | Education, Financial services
Europe’s universities face mounting financial and political challenges
Since OpenClaw introduced Clawdbot, AI agents have rapidly gained adoption for tasks like coding, emailing, and running businesses. Built on large language models capable of reasoning and autonomous action, these agents aim to handle repetitive tasks and free workers for higher-value work. However, many agents still struggle with basic tasks and unauthorized actions remain a concern. As AI agents become integral to the economy, companies and countries with effective access will gain disproportionate advantages, creating new inequalities based on access, quality, scale, and trust in AI agents.
The agentic divide: Why “good enough” AI isn’t enough to survive the new economy
Lao PDR, nearing graduation from least developed country status, faces a $7–8 billion financing gap amid constrained fiscal space and rising public debt. To sustain its 2026–2030 development goals, it is shifting from aid and debt reliance toward more sustainable public finance by improving domestic revenue mobilization through broadened tax bases, reduced exemptions, and digitalized tax administration. The government is also reforming debt management to link borrowing with development outcomes, including debt-for-nature swaps. Emphasizing private investment and innovative financing tools like green bonds, Lao PDR aims to use scarce public funds more efficiently, enhancing transparency and accountability while fostering higher-quality investments.
Latin America | Financial services
Graduation Day: Lao PDR’s New Approach to Financing Development
The Lao People's Democratic Republic is revising its development finance strategy to address a $7–8 billion funding gap amid high public debt (85% of GDP) and reduced concessional aid as it graduates from least developed country status by 2026. The new approach emphasizes shifting from aid and debt reliance to affordable budgets, enhanced domestic revenue mobilization, and improved debt management linked to development outcomes, including debt-for-nature swaps. The plan targets increasing tax revenue to 14–15% of GDP by broadening the tax base and reducing exemptions, while promoting private investment through better incentives and innovative financing like green bonds. The strategy focuses on using scarce public funds for maximum impact and calls for development partner support that prioritizes quality and reform alignment.
Latin America | Financial services
Rethinking Development Finance in the Lao PDR
The report "Rethinking UN Leadership: A Global South Perspective" highlights concerns from civil society, researchers, and policy experts across Africa, Asia, and Latin America about unequal influence, concentration of power, weak political authority, and limited Global South representation in UN decision-making. Despite these issues, there remains strong support for international cooperation and a growing demand for a United Nations that is more representative, credible, and politically balanced. The report also supports calls for a transparent and inclusive selection process for the next UN Secretary-General.
Africa, Latin America | Health
Rethinking United Nations Leadership: A Global South Perspective
Holders of weak passports face significant challenges traveling internationally, including complex visa applications, extensive border scrutiny, and discriminatory treatment based on nationality, race, gender, and class. This results in emotional distress such as shame, anxiety, and loss of dignity. Tourists often adopt strategies like overly polite behavior to ease suspicion. Increasing border digitalization and stricter entry systems heighten these difficulties, making discrimination harder to detect and contest. Passport strength and travel freedom remain fluid, influenced by geopolitics, with unequal access to international tourism opportunities and its economic benefits.
Latin America
What it’s like to travel with a weak passport: ‘There’s no dignity’
Effective climate action requires people to influence societal systems through their roles—as citizens, professionals, investors, consumers, or role models—rather than focusing solely on personal consumption choices. High-impact actions include voting for climate-conscious leaders, divesting from fossil fuels, shifting institutional practices, and advocating for systemic changes. Barriers like inequality affect individuals' capacity to act, with those in privileged positions often having greater environmental footprints but also more leverage. Recognizing one’s roles and potential influence enables meaningful change beyond individual habits, addressing climate challenges at structural and community levels.
Which of your climate actions make the biggest difference? Here’s how to find out
The UK government is increasingly adopting AI to improve public services, aiming to deliver them faster, better, and more cheaply. A recent proposal suggests reducing NHS recruitment by relying on AI to boost productivity and potentially replace some roles. By early 2024, nearly three-quarters of government departments were using or testing AI tools, from preventing subsidy fraud in transport to helping social workers with transcription. However, measuring AI’s impact on productivity in the public sector remains a challenge.
Education
Can AI make the public sector more efficient?
Deliberative democracy improves collective decisions but is limited by human attention and bandwidth. AI-mediated deliberations increase participation by synthesizing many inputs but remain time-consuming for individuals. As AI advances, AI agents can now deliberate on behalf of humans, a concept called AI-delegated deliberation. This approach offers scalable democratic participation but presents new design and alignment challenges. The authors deploy Habermolt, a public platform for AI-delegated deliberation, evaluating it on representation, aggregation, and revision, providing insights for developing trustworthy AI representatives in democratic processes.
Habermolt: Delegating Deliberation to AI Representatives
The European Union is actively deploying trustworthy artificial intelligence across key sectors such as health, manufacturing, and mobility, transitioning from policy to practical implementation. Emphasizing both innovation capacity and coordinated execution among Member States, the EU aims to become a global leader in trustworthy AI. Close collaboration with the OECD has led to detailed analyses of national strategies, governance, and sector-specific AI impacts, supporting Europe’s competitiveness and readiness in AI adoption.
Education
The European Union is deploying AI across strategic sectors
Restoring natural landscapes like wetlands, forests, and peatlands can enhance national security by creating difficult terrain that impedes mechanized military forces. Historical examples, such as the Pripet Marshes in WWII and the 2022 flooding near Kyiv, demonstrate how natural barriers slow or channel invading armies, aiding defense. Rewilding border regions results in dynamic, self-repairing ecosystems that are harder for enemies to navigate compared to artificial defenses. While trade-offs include potential loss of agricultural land and ethical concerns about military targeting of ecosystems, integrating nature restoration with defense strategies can strengthen resilience, biodiversity, carbon storage, and security simultaneously.
The bogs of war: landscapes play a huge part in conflict – and restoring them can strengthen security
The stories and beliefs that firms, households, and investors hold about economic conditions can shape growth, investment, and unemployment as much as actual policy or market fundamentals. Even in a frictionless economy, differing shared beliefs—such as a Walrasian view that markets self-correct versus a Keynesian view emphasizing persistent demand-driven slowdowns—can lead to sharply divergent macroeconomic outcomes. These conventional beliefs influence how economic signals are interpreted, affecting decisions on hiring, investment, and consumption. Thus, the meanings attached to shocks are as critical as the shocks themselves for shaping economic trajectories, making belief dynamics essential considerations for businesses, investors, and policymakers.
Financial services
What economic shocks mean matters as much as the shocks themselves
Investment funds have begun reallocating portfolios away from countries with high biodiversity risks following the 2021 Kunming Declaration, treating biodiversity as a significant downside risk. This shift leads to cross-border capital flows favoring countries in the same region but not previously included in the funds’ portfolios. Additionally, countries enacting more legal measures to protect nature experience reduced negative exposure from these funds, indicating that legal actions can partly shield them from financial withdrawal due to biodiversity concerns.
Financial services
Financing Nature: Investment Funds and Biodiversity Risks
Political polarization in the U.S. has shifted from traditional Democrat-Republican lines to a pro-Trump versus anti-Trump divide. This new ideological segmentation reflects deeper societal divisions. Media organizations often rely on outdated frameworks, failing to capture this evolving landscape. Factors influencing public discourse include media, social platforms, education, and institutional trust, all contributing to intensified polarization and reshaping political communication.
Rethinking Political Division and Media Segmentation
Quantum AI leverages quantum computing's ability to process qubits simultaneously, dramatically enhancing machine learning capabilities to solve complex problems faster than classical AI. This advancement presents significant challenges and opportunities, demanding organizations prioritize human agency—empowering individuals to think independently and make ethical decisions—before deploying the technology. Human attention bias and short-term focus hinder long-term strategic thinking vital for integrating quantum AI. Success hinges on hybrid intelligence, blending natural and artificial intelligence with humans retaining decision-making authority. Sustaining human agency supports a Quadruple Bottom Line approach: aligning purpose, respecting people, driving profit, and protecting the planet amidst the transformative impact on the workforce.
Education
Why Human Agency Matters for Quantum AI

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