Summary Under the proposed Cloud and AI Development Act (CADA), Centres for AI (officially "Experience and Acceleration Centres for AI") are national hubs established by each Member State to accelerate the adoption of artificial intelligence and cloud computing. As proposed in Article 5, these centres build upon the existing network of European Digital Innovation Hubs (EDIHs) to act as local entry points into the European AI innovation ecosystem. They provide public sector bodies, SMEs, and start-ups with technical support, access to compute resources, upskilling opportunities, and connections to European cloud providers to reduce dependency on non-EU technology.

Detail

The Cloud and AI Development Act (CADA), proposed by the European Commission in June 2026, introduces a structured framework to strengthen Europe's cloud and AI ecosystem. A central pillar of this framework is the creation of a network of Experience and Acceleration Centres for AI (referred to as "Centres for AI"). These centres are designed to bridge the gap between advanced AI research and its practical deployment across the EU economy, with a specific focus on supporting public sector bodies and smaller enterprises.

Legal Basis and Establishment

As proposed in Article 5(1) of CADA, each Member State is required to establish these Centres for AI. The regulation explicitly states that these centres shall "build on the European digital innovation hubs established under Article 16 of Regulation (EU) 2021/694 and, where applicable, any successor entities established under Union law." This means that rather than creating entirely new bureaucratic structures from scratch, the EU intends to leverage and upgrade the existing network of EDIHs, which already provide digital transformation support to businesses.

Recital 25 of the explanatory memorandum further clarifies the strategic intent: these centres are meant to act as "regional and local accelerators for the uptake and deployment of AI, cloud computing and other advanced technologies across the Union." They are specifically tasked with supporting SMEs, small mid-caps (SMCs), and public sector bodies in their digital transformation journeys. The recital notes that the network will be built on the existing network of European digital innovation hubs and will collaborate closely with other initiatives supporting the uptake of AI, such as testing and experimentation facilities and AI factories.

Core Objectives

According to Article 5(2), the primary objectives of the Centres for AI are threefold:

  1. Integration and Scaling: Support the integration and scaling-up of AI use cases in strategic industrial and public sectors.
  2. Broad Adoption: Accelerate the broad adoption of cloud and AI technologies at regional and local levels, notably for SMEs, SMCs, and public sector bodies, in line with the "AI first" principle.
  3. Infrastructure Leverage: Leverage relevant infrastructure to accelerate the development and fine-tuning of AI models and systems.

These objectives align with the broader Cloud and AI Leadership Initiatives established under Article 3 and Article 4 of CADA. Specifically, Article 4(8) identifies "increasing the adoption of AI technologies at regional and local level" as operational objective 8, which is to be pursued through the network of Centres for AI.

Specific Tasks and Support Mechanisms

Article 5(3) details the specific tasks these centres must undertake. For public sector procurement officers, technical teams, and business leaders, these tasks translate into concrete support services:

  • Digital Transformation Support: The centres help organisations accelerate their digital transformation by providing access to and use of AI technologies. Crucially, they do this by "connecting organisations with European providers of cloud and AI technologies." This aligns with CADA's broader goal of reducing dependency on non-EU cloud providers and fostering the uptake of sovereign cloud services.
  • Upskilling and Reskilling: The centres are tasked with ensuring or providing access to relevant upskilling and reskilling schemes. They must do this in close collaboration with the AI Skills Academy, a broader EU initiative aimed at building AI competencies across the workforce. This ensures that the workforce has the necessary skills to develop and deploy AI systems safely and effectively.
  • Expertise Transfer: They facilitate the transfer of expertise across regions, ensuring that knowledge gained in one part of the EU can be shared with others facing similar challenges. This helps to level the playing field and ensures that all regions benefit from the AI transition.
  • Support for Start-ups and Spin-offs: The centres support the scaling-up of spin-offs and start-ups emerging from universities, incubators, and other accelerators. They do this by facilitating access to clients, companies, and organisations seeking specialised AI services. This is particularly relevant for public procurement officers looking to foster innovation through procurement of innovation (PPI) measures, as outlined in Article 33.

Governance and Autonomy

While the centres are mandated by EU law, Article 5(5) ensures they have "substantial overall autonomy as regards their organisation, composition and working methods," provided they comply with the regulation's objectives. This allows Member States to adapt the centres to local needs while maintaining EU-wide coherence.

Furthermore, Article 5(6) mandates the establishment of a network of Centres for AI to support collaboration and the exchange of best practices. This network provides specialised services across regions where the required skills or compute capacity are not available locally, effectively creating a federated support system for the entire EU. The network will also collaborate with existing networks established under other Union initiatives, including those in the field of semiconductors and data.

Connection to Broader CADA Initiatives

The Centres for AI do not operate in isolation. They are part of the Cloud and AI Leadership Initiatives outlined in Articles 3 and 4 of CADA. Specifically, Article 4(8) identifies "increasing the adoption of AI technologies at regional and local level" as operational objective 8, which is to be pursued through the network of Centres for AI. This ensures that the centres are aligned with the EU's strategic goals for frontier AI, industrial AI, and sovereign cloud infrastructure.

Additionally, the centres support the implementation of Article 7, which requires Member States to adopt national cloud and AI strategies. The centres act as the local entry points to these strategies, helping to operationalise the national priorities at the regional level.

What this means for you

For public-sector procurement officers, IT leaders, and business owners, the establishment of Centres for AI represents a significant new resource for navigating the complexities of AI procurement and deployment. Here is how you can leverage these centres under the proposed CADA framework:

  1. Sovereign Cloud Procurement Support: As CADA introduces strict sovereignty requirements for public sector cloud procurement (Articles 29–30), you may face challenges in finding compliant European providers. Centres for AI are explicitly tasked with connecting organisations with European providers of cloud and AI technologies (Article 5(3)(a)). You can use these centres to identify vendors that meet the Union Assurance Levels required by your risk assessments, ensuring compliance with the new sovereignty framework.
  2. Access to Compute Resources: Many public sector bodies and SMEs lack the internal infrastructure to test or fine-tune AI models. The centres leverage relevant infrastructure to accelerate the development and fine-tuning of AI models (Article 5(2)(c)). This could mean access to shared compute pools, partnerships with AI factories, or guidance on accessing EuroHPC resources, reducing your capital expenditure on hardware.
  3. Staff Competency Building: Deploying AI requires skilled personnel. The centres provide access to upskilling and reskilling schemes in collaboration with the AI Skills Academy (Article 5(3)(b)). You can direct your IT staff to these programmes to ensure they have the necessary "AI literacy" to oversee high-risk AI systems as required by the AI Act and CADA, or to develop new AI capabilities within your organisation.
  4. Innovation Procurement Partnerships: If you are looking to procure innovative AI solutions from start-ups or SMEs, the centres facilitate access to these entities (Article 5(3)(d)). This supports CADA's goal of increasing SME participation in public procurement (Article 33), helping you find agile, innovative suppliers that might otherwise be difficult to identify through traditional tender processes. The centres can act as a matchmaking platform between public buyers and innovative European solutions.
  5. Regional Collaboration: If your region lacks specific AI expertise, the network of Centres for AI allows you to access specialised services from other regions (Article 5(6)). This ensures that even smaller or more remote public authorities can benefit from advanced AI support, preventing a "digital divide" within the Union.
  6. Strategic Alignment: By engaging with the Centres for AI, you ensure that your digital transformation projects are aligned with the national cloud and AI strategies (Article 7) and the broader EU objectives. This alignment can help in accessing additional funding and support under the Cloud and AI Leadership Initiatives.

Common misconceptions

  • Misconception: Centres for AI are new, standalone bureaucracies.
    • Reality: As stated in Article 5(1) and Recital 25, these centres build on the existing European Digital Innovation Hubs (EDIHs). They are an evolution and refocusing of existing structures, not a creation of entirely new entities from scratch. This ensures continuity and leverages existing local expertise and networks.
  • Misconception: They only serve private companies.
    • Reality: While SMEs are a key target, Article 5(2)(b) and Article 5(3) explicitly mention supporting public sector bodies. Their mandate includes accelerating AI adoption in the public sector, making them a critical resource for government agencies looking to modernise their services.
  • Misconception: They provide direct funding for projects.
    • Reality: The primary role of the Centres for AI is technical and advisory support, upskilling, and networking. While they connect organisations to funding opportunities (such as those under the Cloud and AI Leadership Initiatives or national strategies), they are not primarily a funding disbursement body. Their value lies in expertise, access to infrastructure, and market matchmaking.
  • Misconception: They replace national AI strategies.
    • Reality: The centres operate within the framework of national cloud and AI strategies (Article 7). They are the local implementation arm of these broader strategies, not a replacement for them. Member States must still adopt comprehensive national strategies that align with CADA's objectives, and the centres help to execute these strategies on the ground.
  • Misconception: They are only for large enterprises.
    • Reality: The centres are specifically designed to support SMEs and SMCs, as well as public sector bodies. Article 5(3)(d) highlights their role in supporting start-ups and spin-offs, ensuring that smaller players can access the AI ecosystem and compete effectively.

Official sources

Related

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