EU to Roll Out Tech Sovereignty Agenda to Rival US and China. Will it Work?

· Source: Tech Policy Press · Field: Government & Public Sector — Public Policy & Governance, Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, short

Summary

The European Union is set to unveil its European Tech Sovereignty proposals on June 3, aiming to reduce its reliance on foreign technology suppliers, particularly from the US and China. These plans include boosting high-end semiconductor production within the 27-country bloc, promoting open-source alternatives to US digital services, and urging national governments to reassess their dependence on non-European firms for cloud computing and AI services. Key components of the package are expected to be a Chips Act 2.0, linking semiconductor manufacturing to European cloud infrastructure, and a Cloud and AI Development Act, requiring "sovereignty risk assessments" for existing infrastructure. Additionally, an Open Source Strategy will promote open-source standards to prevent vendor lock-in. This initiative follows previous attempts and comes as Amazon, Google, and Microsoft currently control around 70 percent of the EU's cloud market.

Key takeaway

For executives overseeing digital infrastructure or supply chains in Europe, you should prepare for increased scrutiny on non-EU technology dependencies. Your organization may face pressure to conduct "sovereignty risk assessments" and consider shifting critical cloud and AI services to European providers. Evaluate your current reliance on US tech giants and explore open-source alternatives to align with the EU's evolving tech sovereignty agenda and mitigate future regulatory or supply chain risks.

Key insights

The EU seeks tech sovereignty by boosting domestic production and open-source to reduce reliance on foreign digital giants.

Principles

Method

Conduct "sovereignty risk assessments" for existing infrastructure, then shift identified critical components to European firms.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Executive, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Policy Press.