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EU’s New Technological Sovereignty Package Charts A Bold Path Toward Strategic Autonomy

by THEFUTURE.TEAM

June 5, 2026

Overview Of The New Initiative

The European Commission on Wednesday presented its Technological Sovereignty Package, a legislative and policy framework aimed at reducing the European Union’s reliance on non-EU technology providers in areas including semiconductors, cloud services, artificial intelligence and digital infrastructure. The package also includes measures related to energy management and consumption.

A Multifaceted Regulatory Framework

A central element of the package is the proposed Chips Act 2.0, which focuses on the semiconductor sector. Additional measures include legislation covering cloud services and artificial intelligence, a European strategy for open-source software, and a roadmap outlining the use of AI in the energy sector. According to the Commission, the initiatives are intended to strengthen Europe’s technological capabilities and support its digital transformation objectives.

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Securing Economic And Strategic Interests

European Commission Executive Vice President for Technological Sovereignty, Security and Democracy Henna Virkkunen said technological sovereignty should not be viewed as protectionism. “Technological sovereignty does not equate to protectionism. Europe remains committed to an open economy, proactive collaboration, and fair competition,” she said. Virkkunen added that reducing the EU’s dependence on non-European digital products, services and infrastructure is important for supply chain resilience, economic stability and security.

Mitigating Risks By Enhancing Control

A key component of the package is proposed legislation covering cloud services and artificial intelligence. The framework introduces four levels of digital sovereignty, with the strictest requirements applying to sectors such as defence and healthcare. According to the Commission, the approach is intended to ensure that critical systems remain subject to European regulatory oversight.

Energy And Technology: A Symbiotic Relationship

European Commissioner for Energy Dan Jørgensen linked technological sovereignty to energy policy, highlighting the growing energy requirements of data centres across the European Union. According to the Commission, data centres currently consume an amount of electricity comparable to that used by nearly 20 million European households. Projections indicate that demand could more than double by 2030.

Future-Proofing Europe’s Digital Landscape

Jørgensen said investments in artificial intelligence and digital technologies could help improve efficiency and reduce energy consumption. He cited Sweden as an example, noting that households using smart electric heating systems have reduced energy bills by up to 40%. The Commission said the package forms part of its broader objective of strengthening Europe’s digital and AI capabilities. Implementation of the proposed measures will require approval from both the European Parliament and the Council.

The initiative outlines a range of legislative and policy measures intended to support the EU’s technology, digital infrastructure and energy objectives in the coming years.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.