AI and industrial sovereignty: geopolitical and technological challenges
The conference focuses on the intersection of artificial intelligence and industrial sovereignty, exploring the geopolitical and technological challenges that arise from this convergence. It aims to address how nations can maintain control over their industrial capabilities and critical infrastructure in an era increasingly defined by AI-driven technologies. The discussions will likely cover strategic autonomy, supply chain resilience, and the implications of AI for national security and economic competitiveness.
Why it matters
The rapid advancement of artificial intelligence presents a dual challenge and opportunity for industrial sovereignty. On one hand, AI can enhance productivity, innovation, and efficiency across various industrial sectors, potentially strengthening a nation's economic base. On the other hand, reliance on foreign AI technologies, data infrastructure, or expertise can create vulnerabilities, posing risks to national security and economic independence. This event is crucial because it brings together stakeholders to deliberate on these complex issues, influencing policy decisions and strategic investments.
Understanding the geopolitical dimensions of AI in industry is paramount. The global competition for AI leadership is not merely technological; it is deeply intertwined with geopolitical power dynamics. Countries that lead in AI development and deployment in industrial applications will likely gain significant advantages in global trade, defense, and influence. Therefore, the discussions at this conference will shed light on how different nations are positioning themselves in this evolving landscape and the potential for cooperation or conflict over AI resources and standards.
For policymakers and industry leaders, the insights from this conference are vital for developing robust national strategies. This includes fostering domestic AI capabilities, securing critical supply chains, and establishing ethical and regulatory frameworks for AI use in industry. The event in Lyon, FRA, serves as a platform for sharing best practices and identifying common challenges, contributing to a more informed approach to navigating the future of AI and industrial sovereignty.
How to prepare
To effectively engage with the themes of AI and industrial sovereignty, participants should undertake a thorough stakeholder mapping exercise, as outlined in the lesson on "what-is-stakeholder-mapping". This involves identifying key actors, including government agencies, industry leaders, research institutions, and international organizations, who have a vested interest in or are impacted by AI's role in industrial policy. Understanding their motivations, influence, and potential alliances is crucial for navigating the complex discussions.
Furthermore, participants should consider the concept of "hidden-stakeholders" – those who may not be immediately apparent but whose interests or actions could significantly shape outcomes. This could include labor unions concerned about AI's impact on employment, or civil society groups advocating for ethical AI development. A comprehensive understanding of these diverse perspectives will enable more nuanced and impactful contributions.
Developing "engagement-strategies" tailored to different stakeholder groups will be essential. This involves preparing arguments that resonate with their specific concerns and objectives, whether they are focused on economic growth, national security, or societal well-being. Employing a "dynamic-analysis" approach will allow participants to adapt their strategies as new information emerges or as the discussions evolve, ensuring their contributions remain relevant and persuasive.
Country perspectives
Where the most-relevant 1 countries stand on the core issues in play. Click through for the full country profile.
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