Insights

Intelligent infrastructure transcends traditional digital frameworks by enabling cognitive and adaptive functionalities, thus facilitating the movement of data and intelligence. Unlike digital infrastructure, which connects systems, intelligent infrastructure incorporates AI-driven insights, allowing assets to learn and optimize in real time. This evolution is essential for industrial transformation, as seen in China’s rise in manufacturing value added, driven by government-led strategies and frameworks such as the national integrated computing network. Collaborating within a "3C ecosystem" (country, company, cluster) enhances competitiveness and fosters innovation across sectors, vital for navigating today's global industrial landscape.
Education, ICT
What is intelligent infrastructure and how is it redefining industrial competitiveness?
The Organization for Security Cooperation in Europe (OSCE) significantly assists its 57 participating States in implementing nearly all 17 Sustainable Development Goals (SDGs), leveraging its expertise and operational presence. The OSCE’s role is increasingly acknowledged within the 2030 Agenda framework, especially regarding SDG 16, which focuses on peace, justice, and strong institutions—core to the OSCE’s mission of conflict prevention and security building. This support is particularly critical amid complex multilateral challenges. The OSCE also serves as a key regional arrangement of the United Nations in advancing the SDGs, offering valuable lessons from its implementation efforts.
SDG 16—The Role of the OSCE
5G is essential for the modern digital economy, providing the reliable connectivity necessary for successful digital transformations. It enables enterprises to operate agentic AI systems without interruptions, crucial for real-time data processing and decision-making. Examples like Sunswift Racing illustrate how 5G supports constant communication and data flow in high-stakes environments. Private 5G solutions, as seen with Airbus, foster industrial agility through enhanced automation and predictive maintenance. As cyber threats increase, the necessity for secure, sovereign data practices becomes critical to protect operations and meet regulatory demands.
Georgia, Singapore | Financial services, Education, ICT
From speed to strategy: 5G as the catalyst for the intelligent economy
Stablecoins are becoming essential in expanding financial access for underserved populations by enabling quicker, cost-effective, and transparent transactions. With their emergence, humanitarian organizations have utilized stablecoins, like USDC, to provide critical aid in crisis situations, exemplified by their use in Ukraine. The growth of stablecoins, now valued over $300 billion, indicates their increasing role in global commerce and small business financing. Public-private partnerships can help realize the full potential of these digital currencies, promoting financial resilience and inclusion while leveraging existing systems to bridge access gaps.
Financial services
How stablecoins can expand financial access to the most underserved and unbanked
Governments face three critical choices that will shape humanity's future: prioritizing wealth or wellbeing, fostering trust or accepting fragility, and promoting cooperation or allowing fragmentation. The economic expansion of recent decades has not equated to improvements in societal wellbeing, with rising rates of mental health issues and a significant economic cost due to lost productivity. Trust remains an essential asset for governance, yet it has eroded in many societies, leading to a need for strategic rebuilding. Lastly, cooperation is crucial to avoid the economic consequences of fragmentation and to sustain global progress.
Austria, Barbados, Belgium, Benin, Bolivia, Burkina Faso, Denmark, Egypt, Estonia, Eswatini, Ethiopia, France, Gabon, Georgia, Germany, Ghana, Greece, Guatemala, Hungary, Iceland, India, Indonesia, Ireland, Israel, Japan, Jordan, Kenya, Latvia, Luxembourg, Malaysia, Moldova, Morocco, Namibia, Netherlands, New Zealand, Norway, Philippines, Poland, Republic of Korea, Russian Federation, Senegal, Singapore, Sweden, Switzerland, Taiwan, China, Tanzania, Thailand, Tunisia, Uganda, Ukraine, United Arab Emirates, United Kingdom, Zimbabwe | ICT, Financial services, Education, Health
Three choices for governments that will define our future
Most companies leverage AI primarily for cost-cutting and efficiency, but true success lies in designing AI-native business models that fundamentally change value creation, pricing, and capture. By utilizing agentic AI and high-quality data, companies can unlock new growth pathways and enhance competitiveness. Investment in data is essential, as it fuels growth rather than merely supporting operations. Successful companies integrate AI deeply into their core operations and strategies, requiring a shift to continuous reinvention rather than episodic change. Collaboration with ecosystems is vital for achieving agility and scale while capitalizing on AI's potential.
Education
Why AI’s greatest payoff is growth and how leaders can build AI-native businesses to capture it
Supply chains have evolved from traditional models based on cost efficiency and predictability to structures that emphasize agility and resilience in response to structural volatility. The Global Value Chains Outlook 2026 highlights five key factors reshaping these supply chains: subdued growth, fragmented networks, geopolitical instability, rapid technological advancements, and the importance of trust. Businesses must adapt to uncertainty by creating flexible systems capable of navigating multiple scenarios. Leadership is shifting from a focus on efficiency to prioritizing resilience and agility as fundamental drivers of competitive advantage, emphasizing the need for collaboration across organizations.
Ethiopia, Ghana, Japan, Senegal, Uganda, Ukraine, United Arab Emirates, United Kingdom | Financial services, ICT, Education
Supply unchained: How to best enable the new era of supply chains
AI's potential to contribute $15 trillion to global GDP hinges on effectively integrating human and AI capabilities. Current enterprise productivity gains remain limited, with organizations facing a critical learning gap rather than merely implementing technology. Continuous, embedded learning within workflows is vital for enhancing human judgment alongside AI. New research emphasizes the necessity of rethinking upskilling approaches using the DEEP framework, which includes embedding learning into work, evaluating skills, and prioritizing capability development. By addressing this learning gap and fostering collaboration, substantial economic benefits can be realized through AI-augmented workforces.
ICT, Education
AI’s $15 trillion prize will be won by learning, not just technology
Space diplomacy is critical for managing the burgeoning reliance on satellites, which underpin essential services like navigation and communications. With over 10,000 satellites currently in orbit and projections for tens of thousands more, existing governance frameworks are outdated, posing significant risks. Space diplomacy fosters cooperation among a diverse range of stakeholders, including emerging nations and commercial entities, to establish shared standards and traffic management. The UAE exemplifies this diplomatic approach through partnerships and initiatives that promote transparency and collaboration, aiming to address challenges like orbital congestion and debris before they escalate into geopolitical crises.
United Arab Emirates | Health, ICT
The future of space governance: How space diplomacy secures critical orbital infrastructure
Governments are increasingly acting as economic super actors, implementing assertive industrial strategies to enhance competitiveness, resilience, and national security. Amidst global pressures like supply chain disruptions and geopolitical uncertainty, state interventions have surged, particularly post-COVID-19, with a 262% increase in new interventions by 2025 compared to 2019. Contemporary industrial policies focus on strategic sector targeting, securing supply chain resilience, and controlling technological dependencies. This shift has resulted in mixed effects on trade and investment, reshaping global economic dynamics and highlighting the importance of security-driven policymaking in a digitally interconnected world.
Afghanistan, Argentina, Armenia, Australia, Austria, Bahrain, Barbados, Belarus, Belgium, Benin, Bolivia, Bosnia and Herzegovina, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Chile, Colombia, Costa Rica, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, Eswatini, Ethiopia, Finland, France, Gabon, Georgia, Germany, Ghana, Greece, Guatemala, Honduras, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kyrgyz Republic, Latvia, Lebanon, Lesotho, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Malta, Mauritania, Mauritius, Mexico, Moldova, Morocco, Mozambique, Myanmar, Namibia, Netherlands, New Zealand, Nicaragua, Norway, Oman, Pakistan, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Republic of Korea, Romania, Russian Federation, Saudi Arabia, Senegal, Singapore, Slovakia, Slovenia, South Africa, Spain, Sudan, Sweden, Switzerland, Taiwan, China, Tajikistan, Tanzania, Thailand, Trinidad and Tobago, Tunisia, Türkiye, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Venezuela, Viet Nam, Yemen, Zambia, Zimbabwe | ICT, Health, Financial services, Education
Governments are now economic super actors. What does this mean for business?
Data readiness is essential for effective AI-driven business transformation, yet fewer than 20% of organizations consider themselves data-ready due to challenges in integration, quality, and governance. As AI technologies evolve, the necessity for high-quality, trusted data becomes a strategic priority, moving data management from IT to board-level discussions. Companies must focus on aligning data strategies with business objectives, ensuring critical data attributes are met, and establishing strong governance frameworks. Improving data readiness is crucial to avoid costly AI failures and to unlock true business value through enhanced efficiency, innovation, and customer experiences.
Education
Why data readiness is now a strategic imperative for businesses
AI is increasingly integrated into the workplace, transforming organizational structures and employee roles. While early adopters report greater efficiency, they also face challenges, such as weakened connections with co-workers and a perceived decline in productivity. A culture focused on AI learning can enhance human agency and boost overall productivity. Companies must balance AI's capabilities with the need for human interaction and recognition of complex tasks. Embracing agentic AI fosters a collaborative relationship between workers and technology, but it is crucial to implement strategies that maintain human engagement as the workforce evolves.
Education
AI is becoming your new work colleague. But let's not forget the human ones
The traditional aid model is collapsing as official development assistance declines due to persistent political and fiscal pressures in donor countries. Development finance institutions, multilateral banks, private capital, and philanthropy are increasingly influencing development outcomes. Key shifts include the dismantling of the US Agency for International Development and the empowerment of the US International Development Finance Corporation, which may challenge China's Belt and Road Initiative. Upcoming discussions at the World Economic Forum will focus on fostering open dialogue in this evolving landscape.
Africa | ICT, Financial services, Education, Health
The old aid model is dead. Now comes the fight over what replaces it
Industrial AI can significantly enhance disaster response by transitioning from chaotic, reactive methods to systematic, efficient coordination. First responders often rely on outdated tools, leading to prolonged outages and isolated communities during crises. By leveraging AI, agencies can optimize resource allocation, predict risks, and streamline communication among utility companies. This technology enables rapid deployment of crews, ensuring essential services like power and water are restored efficiently. As natural disasters increase in frequency and severity, adopting industrial AI is crucial for improving recovery efforts and minimizing community impact.
Industrial AI has the power to transform disaster response, but only if we work together
New research by Oxfam highlights that billionaire wealth has grown three times faster than average wealth since 2020, with over 3,000 billionaires now holding unprecedented power and wealth, totaling $18.3 trillion. This rise has led to a fusion of wealth and political influence, contributing to political inequality, as ordinary voices are increasingly marginalized. Oxfam’s executive director, Amitabh Behar, emphasizes the urgency for a democratic dialogue to challenge this trend and advocates for the rights of citizens to protest against injustice. The report calls for greater awareness and action against the concentration of wealth and its impact on democracy.
Oxfam: 'Inequality is not inevitable' –How to build a future that benefits everyone
AI is reshaping corporate defense strategies, revealing a "preparedness paradox" among CEOs and CISOs. An AXIS survey of 500 executives in the US and UK shows a divide in trust towards AI, with 67.1% of CEOs confident in AI for cybersecurity decisions compared to only 58.6% of CISOs. While AI is seen as a promising tool, executives express mixed confidence in their defenses against AI-driven cyber threats, particularly in the UK, where only 44% feel prepared. AI-driven attacks are identified as the top emerging threat, emphasizing the need for C-Suite alignment to enhance organizational resilience in the evolving cyber landscape.
Education
Preparedness paradox: Understanding AI risk and reward in the cyber ecosystem
Trustworthy AI is now a global priority, shifting focus from ethical principles to their practical application in various sectors like health and finance. Universities play a crucial role in this movement by incorporating fairness, privacy, and accountability into AI systems through ethics-by-design practices and interdisciplinary governance. Global collaboration is emphasized, with initiatives like the AI Alliance, which promotes responsible AI development. Notably, the United Nations adopted a resolution in 2024 advocating for safe AI that respects human rights. Educational efforts in academia aim to prepare future leaders to address the societal impacts of AI.
Education
Scaling trustworthy AI: How to turn ethical principles into global practice
Professionals recognize the importance of AI but often underestimate its impact on their roles, leading to a skills gap. Research indicates that personalized AI training aligned with business objectives can effectively bridge this gap. Employees exhibit enthusiasm for AI upskilling, particularly when employers provide structured programs. The study highlights a dual need for technical fluency and soft skills proficiency, with many workers unaware of their deficiencies in crucial soft skills. To adapt to ongoing AI transformations, both proactive individual learning and employer support are essential for workforce readiness.
Education
The AI perception gap: How to ensure employers and workers are ready for imminent transformation
Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations outlines strategies for harnessing AI's transformative potential after years of high investment. Key recommendations include integrating AI as a strategic capability across enterprises, enhancing human-AI collaboration, strengthening data foundations, modernizing technology infrastructure, and implementing responsible AI practices. The insights are based on extensive interviews and applications to guide organizations towards effective AI adoption and resilience in the face of evolving challenges.
Education
Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations
Leaders are now concentrating on the measurable value of AI following significant investments and high expectations. MINDS (Meaningful, Intelligent, Novel, Deployable Solutions) provides a platform for scaling AI innovation by highlighting effective applications and connecting leaders. The white paper, Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations, offers strategies for building resilient AI adoption practices. Recommendations include embedding AI enterprise-wide, enhancing human-AI collaboration, strengthening data foundations, modernizing technology stacks, and ensuring responsible AI practices with appropriate human oversight.
Education
Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations

Forum Spaces

© 2026 All rights reserved
Privacy Policy & Terms of Service