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The New York Times Debate: Europe does not have what it takes for AI sovereignty (Curated by DEBATABLE) - [Session VivaTech] - Theme: Artificial Intelligence
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Speakers

 Photo Louise Agersnap

Louise Agersnap

Head of Innovation Hub
World Health Organization (WHO)
 Photo Mahsa Alimardani

Mahsa Alimardani

Associate Director of Technology Threats and Opportunities
WITNESS
 Photo Laetitia Benayoun

Laetitia Benayoun

Student of MSc Data Science and AI for Business
HEC x Ecole Polytechnique
 Photo Dakota Cary

Dakota Cary

Consultant
SentinelOne
 Photo Clara Chappaz

Clara Chappaz

France’s Ambassador for Digital Affairs and Artificial Intelligence
France
 Photo Eric Hazan

Eric Hazan

Founding Partner
Ardabelle Capital
 Photo Martin Hullin

Martin Hullin

Director, Network for Technological Resilience & Sovereignty, Europe's Future Program
Bertelsmann Stiftung
 Photo Jason Karaian

Jason Karaian

Deputy Business Editor
The New York Times
 Photo Sophie Lambin

Sophie Lambin

Founder and CEO
Kite Insights
 Photo Thomas Lingard

Thomas Lingard

CEO
Centre for Future Generations
 Photo Brune Poirson

Brune Poirson

Founder
Udaan Advisory
 Photo Christopher Porter

Christopher Porter

Head of International Security Cooperation
Google
 Photo Nayana Prakash

Nayana Prakash

Research Affiliate
Minderoo Centre for Technology and Democracy, University of Cambridge

Artificial Intelligence

The New York Times Debate: Europe does not have what it takes for AI sovereignty (Curated by DEBATABLE)

distance

Purple Stage

calendar_today
June 17

5:10 PM - 6:00 PM - CET

Two teams of debaters. Considered jury members. One provocative motion. A lively exchange of ideas designed to challenge assumptions, surface competing perspectives and deepen understanding. The audience decides. AI is reshaping the foundations of national power: economic competitiveness, defence, critical infrastructure, energy and the health of democracies themselves. AI sovereignty is the ability of a country or region to develop, control and govern AI without depending on foreign powers. It spans the full stack: the chips and computing power that train models, the models themselves, the talent and capital that build them, and the data, energy and rules that govern their use. The United States leads on capital, scale and frontier models. China is building vast domestic capability and dominates the critical minerals that hardware depends on. Europe sits between them. It holds some strengths, including advanced chipmaking equipment, strong research and a distinctive, rights-based approach to AI regulation, yet it trails on investment, commercial scale and homegrown compute. Can Europe close this gap, or has it now grown too wide for European AI sovereignty? Beneath this sits a harder question: is matching the United States and China even the right goal, or should Europe's task be to support a broader international ambition of building AI that is both capable of powerful outcomes but within the context of better governance? And crucially, could open-source AI offer Europe a credible path to compete without requiring the same capital and scale as its rivals?
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Artificial Intelligence & Robotics
Sovereignty & GovTech