Global Artificial Intelligence Competitiveness Index
The Project is developed
with technological support of
Deep Knowledge Group
The six edition of the Global AI Competitiveness Index (AI-GCI) focuses on the real-world deployment of AI in three key sectors: biotechnology, healthcare, and longevity. This edition evaluates how well countries and cities are translating AI research into practical, regulated biomedical systems, with a particular emphasis on clinical validation, healthcare data infrastructure, and funding pathways. By moving beyond theoretical AI potential, AI-GCI-6 provides a more accurate benchmark of real-world readiness for AI applications in these fields.
This edition differentiates between research hubs and those with the infrastructure to deploy AI at scale. It includes both country-level and city-level assessments, with insights into key factors like AI capability, data availability, and capital investment. Released at a time of growing economic pressure on healthcare systems and rapid AI advancements, the report aims to track progress in AI deployment across biotech, healthcare, and longevity sectors.
About Part 6
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The AI Global Competitiveness Index (AI-GCI) Consortium is preparing the sixth edition of its global benchmarking series, focused specifically on AI deployment in biotechnology, healthcare systems, and longevity innovation. Unlike indices that measure abstract AI potential or research output alone, AI-GCI-6 evaluates real-world deployment readiness: the ability of countries and cities to translate AI capability into regulated, clinically validated, and commercially scalable biomedical systems. The framework adapts the consortium’s established pillar-based methodology to life-science realities, incorporating factors such as drug discovery pipelines, healthcare data interoperability, regulatory maturity, clinical validation pathways, capital ecosystems, and longevity innovation capacity.
This edition benchmarks three overlapping but distinct domains. In biotechnology, it assesses AI-driven target discovery, molecule design, biomarker identification, and the commercialization pathways that transform research into funded and market-ready products. In healthcare, it evaluates the integration of AI into hospital operations, diagnostics, and clinical decision systems, alongside system-level readiness in data governance, interoperability, and regulation. In longevity and preventive health, it measures how effectively AI supports early diagnostics, personalized risk prediction, and healthy lifespan optimization, as well as whether jurisdictions possess the clinics, investors, regulatory openness, and ecosystem depth required to scale such solutions.
AI-GCI-6 produces both country-level rankings and city-level ecosystem benchmarking, recognizing that biomedical AI leadership is often concentrated in metropolitan research and capital hubs. Guided by a distinguished international committee spanning policy, law, academia, and industry, the report captures shifts in deployment capability at a time when AI foundation models are expanding into biology and medicine, healthcare systems face mounting efficiency pressures, regulatory scrutiny is intensifying, and longevity is emerging as a structural economic driver. Through structured engagement with partners, observers, and sponsors—while preserving analytical independence—the edition extends the consortium’s proven benchmarking framework into one of the most regulated and strategically consequential frontiers of applied AI.
Latest Edition of Global AI Competitiveness Index Launched by Deep Knowledge Group Alongside Distinguished Index Committee Members
Global AI Competitiveness Index Committee Members
Global AI Competitiveness Index Part 6: AI in BioTech, Healthcare and Longevity
An analytical platform by Deep Knowledge Group presenting Part 6 of the Global AI Competitiveness Index focuses on evaluating real-world deployment readiness of artificial intelligence in biotechnology, healthcare, and longevity. Rather than assessing abstract AI capacity, the report benchmarks how effectively countries and cities can translate AI capability into regulated, clinically validated, and commercially scalable biomedical systems. It examines whether jurisdictions possess the scientific infrastructure, healthcare data systems, capital ecosystems, talent base, and regulatory maturity required to move AI from research outputs into operational biomedical infrastructure.
The edition assesses three interconnected domains: AI-driven drug discovery and biotech commercialization; AI integration within healthcare delivery systems, including diagnostics, clinical workflows, and governance readiness; and AI-enabled longevity and preventive health innovation, including early diagnostics, risk prediction, and ecosystem scalability.Through both country-level rankings and city-level benchmarking, the report distinguishes research hubs from deployment-ready ecosystems and analyzes the structural conditions that determine whether biomedical AI can be safely scaled in real-world environments.
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.
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).
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.
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.
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.
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.
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.
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.
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.
Report Host:
Deep Knowledge Group