Global Artificial Intelligence Competitiveness Index
The Project is developed
with technological support of
Deep Knowledge Group
The seventh edition of the Global AI Competitiveness Index (AI-GCI) benchmarks how effectively countries and cities convert AI capability into trusted, measurable and socially useful outcomes across sustainability, green technology, public services, responsible AI governance, social inclusion, and techno-philanthropy. This edition evaluates practical deployment readiness at a time when mature AI systems are moving into government, education, climate infrastructure, welfare delivery, and public safety at scale—and when the question is no longer who has AI talent, but who can deploy it responsibly for genuine public benefit.
About Part 7
Global Artificial Intelligence Competitiveness Index Part 7: Benchmarking AI for Social Good, Sustainability and Techno-Philanthropy
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The AI Global Competitiveness Index (AI-GCI) Consortium is preparing the seventh edition of its global benchmarking series, focused specifically on AI for Social Good and Sustainability. Unlike editions that evaluated AI in enterprise settings, research infrastructure, or biomedical systems, AI-GCI-7 evaluates the practical ability of countries and cities to convert AI capability into trusted, measurable and institutionally serious public, environmental, and social benefit. Sustainability is given particular emphasis in this edition because energy optimisation, green technology, climate resilience, environmental monitoring, smart infrastructure, SDG-aligned deployment, and impact-finance coordination offer some of the clearest real-world evidence of applied AI. The broader benchmark retains balanced coverage of social good, responsible AI, public services, inclusion, social protection, public safety, and public trust across countries and cities worldwide.
This edition benchmarks five interconnected applied-AI domains. In sustainability and green technology, it assesses how effectively countries and cities use AI for energy optimisation, climate adaptation, environmental monitoring, smart infrastructure, and SDG-aligned deployment outcomes. In public services and institutional efficiency, it evaluates AI-powered citizen services, administrative workflow automation, procurement, benefits delivery, and public-sector knowledge management. In responsible AI, public safety, and trust, it measures developer obligations, data protection frameworks, cybersecurity resilience, explainability requirements, and public confidence. In inclusion, education, and social protection, it examines how AI supports education access, disability inclusion, labour-market participation, social-service targeting, and underserved communities. In techno-philanthropy and impact finance, it analyses how AI is being used to strengthen philanthropy intelligence, grant allocation, impact measurement, donor coordination, blended finance, and public-private-philanthropic collaboration around high-impact SDG-related projects.
AI-GCI-7 produces both country-level rankings and city-level ecosystem benchmarking, recognising that applied AI capacity in sustainability, public services, and social-good domains is often concentrated in metropolitan innovation, governance, and implementation hubs. A country may have strong national policy but weak city-level deployment density; a city may have exceptional adoption capacity but limited national regulatory coherence—Part 7 makes those differences visible. A dedicated Appendix N1 extends the analysis through ten profiled case studies of tech-enhanced, SDG-related projects where AI serves as a central technology layer, providing tangible benchmarks of how AI can improve philanthropic impact, project discovery, funding coordination, monitoring, transparency, and measurable public-benefit delivery. Guided by a distinguished international committee spanning policy, law, academia, and industry, the edition captures the evolving frontier of AI as a tool for genuine social and environmental benefit.
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Global AI Competitiveness Index Committee Members
Dame Jennifer Mary Shipley DNZM PC
Former Prime Minister of New Zealand and Global Leadership Figure
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Dame Jenny Shipley served as the 36th Prime Minister of New Zealand from 1997 to 1999, becoming the country’s first female Prime Minister and the first woman to lead the National Party. She held senior cabinet roles in social welfare, health, transport, and women’s affairs, and later built an international profile in business leadership, governance, and global women’s leadership initiatives.
Prof. Dr. h.c. Rudolf Mellinghoff
Former Justice of the Federal Constitutional Court of Germany; Former President oft he Federal Fiscal Court of Germany
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Prof. Mellinghoff is an internationally renowned lawyer with an outstanding career at the intersection of law, finance and governance. As a former judge at the Federal Constitutional Court, he ensures that human rights are respected when introducing AI. From his work as President of the Federal Finance Court, he has in-depth knowledge of regulatory structures and financial supervision in the field of AI and innovation policy.
Prof. Christoph
Schommer Head of AI4Education, University of Luxembourg; Founder, The AI Café
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Prof. Schommer is a computational scientist and educator specializing in AI applications in learning and society. As founder of The AI Café and Head of the AI4Education focus area at the University of Luxembourg, he promotes interdisciplinary collaboration and public dialogue around responsible AI.
Jian Zhou
Co-author, Global AI Competitiveness Index Series
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Jian Zhou has been a co-author on all four editions of the Global Artificial Intelligence Competitiveness Index. His work focuses on large-scale data fusion, national AI benchmarking, and the architecture of policy-intelligence for public and private stakeholders.
King Au
Former Executive Director of the Hong Kong Financial Services Development Council
Dr Au King Lun, MH, JP, served as a Former Executive Director of the Hong Kong Financial Services Development Council from 8/2020 - 1/2026. He was named CEO of the Year in Hong Kong by Asia Asset Management in 2012 and 2014. He was also awarded the Medal of Honour in 2008 and appointed a Justice of the Peace in 2025 by the HKSAR Government. Dr Au served as Chairman of the Hong Kong Securities and Investment Institute (2006-2008) and the Hong Kong Investment Funds Association (2004-2005).
Dr. Patrick Glauner
Professor of Artificial Intelligence, Deggendorf Institute of Technology (Germany); Innovation Manager for AI at Krones; former Fellow at CERN
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Dr. Glauner is an award-winning academic and industry expert specializing in artificial intelligence, policy, and innovation governance. He previously served as Innovation Manager for AI at Krones Group and has advised the European Parliament and national ministries on technology regulation and competitiveness. He is also a former Fellow at the European Organization for Nuclear Research (CERN).
Dmitry Kaminskiy
General Partner, Deep Knowledge Group; Founder, AI Industry Analytics
Dmitry Kaminskiy is an innovative entrepreneur, investor, author and philanthropist dedicated to impact investment, ethical business, and DeepTech for Social Good. He is Founder and General Partner of Deep Knowledge Group - a consortium of commercial and non-profit organizations active on many fronts in the realm of DeepTech and Frontier Technologies (AI, Longevity, Precision Medicine, FinTech, GovTech, InvestTech), where he leads the group’s investment and finance activities.
Dr. Xin Zhou
AI Index Committee Member and AI Governance Expert
One of the most distinguished journalists in China. Covered war and dangerous regional political crisis stories from North Africa to the middle east and Europe. Working with the world business leaders and top policymakers through World Economic Forum, World Bank, IMF, and different international governments. Skilled in News Writing, documentary making, editing, government relations, and media relations. Strong business development professional with a Master of Laws (LL.M.) and EMBA focused in Law from Soochow University (CN) and Peking University.
Rudolf Scharping
Former Federal Minister of Defence, Germany; Chairman, RSBK AG
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Scharping is a distinguished statesman and business leader. As Germany’s former Minister of Defence and Chairman of RSBK AG, he brings decades of expertise in governance, international affairs, and sustainable economic strategy to the Global AI Competitiveness Index’s advisory framework.
Karen Abudinen
Former Minister of Information and Communications Technologies (ICT) of Colombia; Director General of the Colombian Family Welfare Institute (ICBF); Secretary of Education of Barranquilla; Secretary of Social Management for the City of Barranquilla
Karen Abudinen is a Colombian leader in digital transformation, educational innovation, and social development. She has held several senior public-sector positions, including Minister of Information and Communications Technologies (ICT) of Colombia, Director General of the Colombian Family Welfare Institute (ICBF), Secretary of Education of Barranquilla, and Secretary of Social Management for the City of Barranquilla.
Prof. Dr. Volker Römermann, CSP
President of the German Association of Small and Medium-Sized Businesses (BM), Past President of the German Speakers Association (GSA), Professor and Director of the Humboldt Center for the Legal Profession at Humboldt University in Berlin, Founder & CEO of Römermann Rechtsanwälte AG, Hamburg
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A leading authority on legal transformation and corporate governance, Prof. Römermann advises governments and corporations on law, technology, and ethics. As Founder of Legal Revolution and a certified speaking professional (CSP), he is a central figure in Europe’s AI law and digital compliance ecosystem.
Report Host:
Deep Knowledge Group