Summary Under the proposed Cloud and AI Development Act (CADA), Germany would be legally required to establish a network of Experience and Acceleration Centres for AI ("Centres for AI") as mandated by Article 5. These centres would not be created from scratch but would build on the existing European Digital Innovation Hubs (EDIHs). Their primary mission would be to accelerate the adoption of cloud and AI technologies among SMEs, small mid-caps (SMCs), and public sector bodies, while explicitly connecting these organisations with European cloud and AI providers. This infrastructure serves as the operational arm of Germany's national cloud and AI strategy (required under Article 7) and functions as part of a wider EU-wide network to ensure regional expertise and compute capacity are accessible across the Union.

Detail

The Cloud and AI Development Act (CADA), as proposed in COM(2026) 502 final, introduces a comprehensive framework to strengthen Europe's cloud and AI ecosystem. A critical component of this framework is the establishment of a decentralized support network designed to bridge the gap between high-level policy and on-the-ground implementation. For Germany, as an EU Member State, this translates into a specific, mandatory obligation to establish Experience and Acceleration Centres for AI.

The Legal Mandate: Article 5 of CADA

Article 5(1) of the proposal sets a clear and non-negotiable requirement: "Each Member State shall establish Experience and Acceleration Centres for AI." This provision ensures that every Member State, including Germany, has a dedicated infrastructure to support the digital transformation of its economy and public sector.

Crucially, the proposal does not envision these centres as entirely new, standalone legal entities or physical buildings. Instead, Article 5(1) explicitly states that these Centres for AI "shall build on the European digital innovation hubs established under Article 16 of Regulation (EU) 2021/694." This means that Germany would likely repurpose, expand, or reorient its existing network of European Digital Innovation Hubs (EDIHs) to take on these specific, enhanced mandates focused on AI and cloud acceleration. This approach leverages existing expertise and infrastructure, ensuring a faster and more efficient rollout of the CADA objectives.

Objectives and Scope

The proposal defines the strategic objectives of these centres with precision in Article 5(2). The Centres for AI in Germany would be tasked with three core goals:

  1. Supporting Integration and Scaling: They must facilitate the integration and scaling-up of AI use cases in strategic industrial and public sectors.
  2. Accelerating Adoption: They are mandated to accelerate the broad adoption of cloud and AI technologies at regional and local levels. This support is specifically targeted at SMEs, small mid-caps (SMCs), and public sector bodies, aligning with the "AI first" principle.
  3. Leveraging Infrastructure: They must leverage relevant infrastructure to accelerate the development and fine-tuning of AI models and systems.

Core Tasks: Connecting Users to European Providers

Article 5(3) outlines the specific operational tasks these centres would perform. For German public bodies, procurement officers, and business leaders, these tasks are highly relevant:

  • Digital Transformation Support: The centres must help organisations accelerate their digital transformation by providing access to AI technologies. A pivotal duty is connecting organisations with European providers of cloud and AI technologies. This directly supports CADA's broader objective of reducing dependence on non-European providers and strengthening the EU's technological sovereignty.
  • Upskilling and Reskilling: They must ensure or provide access to relevant upskilling and reskilling schemes. This is to be done in close collaboration with the AI Skills Academy, ensuring that the workforce possesses the necessary competencies to manage and deploy AI systems effectively.
  • Expertise Transfer: The centres are tasked with facilitating the transfer of expertise across regions. This ensures that knowledge and best practices gained in one part of Germany or the EU can be shared widely, preventing regional disparities in digital capability.
  • Start-up and Spin-off Support: They must support the scaling-up of spin-offs and start-ups emerging from universities, incubators, and other accelerators. This involves facilitating access to clients, companies, and organisations seeking specialised AI services, thereby fostering a vibrant innovation ecosystem.

Integration with Germany's National Strategy (Article 7)

The establishment of these centres is not an isolated initiative; it is deeply integrated into the broader national planning framework. Article 7 of CADA requires Member States, including Germany, to establish national cloud and AI strategies within one year of the regulation's entry into force.

Article 7(2)(b) explicitly mandates that these national strategies must include measures to accelerate the development and adoption of cloud and AI at national, regional, and local levels, "including by supporting the Centres for AI referred to in Article 5 as entry points to the European AI innovation ecosystem."

Consequently, the German national cloud and AI strategy would serve as the high-level policy document detailing how these centres are funded, governed, and integrated into the national digital agenda. The Centres for AI would act as the practical, on-the-ground implementation arm of these strategic goals, ensuring that the "AI first" principle is translated into concrete actions for local businesses and public authorities.

The EU-Wide Network and Cooperation

The proposal envisions these centres not as isolated national entities but as nodes in a cohesive European network. Article 5(6) establishes that a "network of Centres for AI shall be established to support collaboration and the exchange of best practices among Centres for AI."

This network is designed to provide specialised services across regions where the required skills or compute capacity are not available locally. For example, a public body in a rural region of Germany could potentially access specialised AI expertise or high-performance compute resources through the network if those resources are not available in their immediate local Centre.

Furthermore, Article 5(7) requires Member States and the Commission to cooperate with existing networks established under other Union initiatives, including those in the field of semiconductors and data. This ensures that the AI centres are not siloed but are part of a broader, interoperable digital infrastructure ecosystem, maximising synergies with other EU digital policies.

What this means for you

For public-sector procurement officers, digital transformation leads, and business leaders in Germany, the proposed Experience and Acceleration Centres for AI represent a new, mandatory resource for navigating the complexities of cloud and AI adoption.

1. A Dedicated Support Channel for Procurement and Compliance As CADA introduces new sovereignty requirements for cloud procurement (such as the Union assurance levels), the path to compliance can be complex. These centres would serve as a primary contact point for public bodies seeking guidance. They would help you identify which European cloud providers meet the necessary assurance levels and assist in navigating the technical and legal requirements of the new framework.

2. Direct Access to European Providers One of the explicit tasks of the centres is to connect organisations with European providers of cloud and AI technologies. If your procurement strategy involves shifting away from non-EU hyperscalers to reduce dependency, the local Centre for AI would be a key partner in identifying viable, sovereign alternatives that meet your technical needs and budget constraints.

3. Skills Development for Your Team Adopting AI requires not just technology, but skilled personnel. The centres' mandate to provide upskilling and reskilling schemes, in collaboration with the AI Skills Academy, means you could send your staff for targeted training. This is essential for ensuring your team can effectively oversee high-risk AI systems and manage cloud infrastructure in line with CADA's requirements.

4. Alignment with National Strategy You should monitor the development of Germany's national cloud and AI strategy, which would be updated to include these centres as entry points to the AI ecosystem. The strategy would outline specific measures and support mechanisms available through these centres, helping you align your local procurement and digital transformation plans with national priorities.

5. Access to a Wider Network If your local Centre cannot meet a specific need, the EU-wide network established under Article 5(6) ensures that you can access specialised services, expertise, or compute capacity from other regions, ensuring that no organisation is left behind due to local resource constraints.

Common misconceptions

Misconception 1: These are entirely new, standalone entities.

  • Correction: Article 5(1) explicitly states that the Centres for AI "shall build on the European digital innovation hubs." They are not necessarily new buildings or new legal entities from scratch, but rather an evolution and expansion of the existing EDIH network to take on specific AI and cloud acceleration tasks.

Misconception 2: They only serve private companies.

  • Correction: Article 5(2)(b) and 5(3)(a) explicitly mention supporting public sector bodies alongside SMEs and SMCs. Public authorities are a primary target audience for these centres, especially given CADA's focus on public procurement and sovereignty.

Misconception 3: They provide direct financial funding for projects.

  • Correction: While the centres support scaling-up and connect start-ups with clients, their primary role as defined in Article 5 is technical and advisory support, skills development, and facilitation. They are not primarily funding bodies, though they may help navigate funding opportunities.

Misconception 4: Germany can choose not to establish them.

  • Correction: Article 5(1) uses the mandatory language "Each Member State shall establish Experience and Acceleration Centres for AI." This is a legal obligation under the proposed regulation, not an optional initiative.

Related

This is general information about a draft EU regulation, not legal advice.