Summary Under the proposed Cloud and AI Development Act (CADA), Experience and Acceleration Centres for AI (Centres for AI) are designed to be the primary regional engines for digital transformation. For a small or mid-sized enterprise (SME), these centres act as a direct bridge to the EU's AI ecosystem, providing access to upskilling, computing resources, and European cloud providers. As proposed in Article 5, these centres operate under an "AI first" principle to accelerate adoption at regional and local levels. Crucially, the legislation mandates a networked approach: if a region lacks local skills or compute capacity, the centre can provide access to specialised services from elsewhere in the Union, ensuring no SME is left behind due to geographic disadvantage.

Detail

The proposed Cloud and AI Development Act (CADA), COM(2026) 502 final, introduces a structural mechanism to ensure that the benefits of the AI revolution are not confined to major tech hubs. Article 5 establishes the legal framework for Experience and Acceleration Centres for AI (hereinafter "Centres for AI"). These centres are not merely advisory bodies; they are operational hubs tasked with tangible support for the integration and scaling of AI use cases, with a specific focus on SMEs, small mid-caps (SMCs), and public sector bodies.

The Mandate: Accelerating Adoption at the Regional Level

The core mission of the Centres for AI is to accelerate the broad adoption of cloud and AI technologies at regional and local levels. This is a direct response to the risk of digital fragmentation, where only large corporations in capital cities can access the necessary infrastructure and expertise.

As proposed in Article 5(2)(b), the centres are explicitly tasked to "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." The "AI first" principle, as referenced in the Apply AI Strategy and integrated into CADA, urges organisations to reflect on their business processes, considering the needs and opportunities offered by AI, while taking into consideration potential risks. For a regional SME, this means the Centre for AI will guide them in identifying where AI can solve specific operational challenges, moving them from theoretical interest to practical implementation.

Connecting SMEs to European Providers

One of the most significant barriers for SMEs is navigating the complex cloud and AI market, often dominated by non-European incumbents. CADA seeks to rebalance this by fostering the uptake of European solutions.

Article 5(3)(a) explicitly tasks the Centres for AI with "helping organisations accelerate their digital transformation through access to and use of AI technologies, including by connecting organisations with European providers of cloud and AI technologies."

This provision is critical for regional SMEs for two reasons:

  1. Market Access: It provides a trusted gateway to European providers, reducing the search costs and risks associated with finding compliant partners.
  2. Sovereignty and Resilience: By connecting SMEs to European providers, the centres help reduce dependence on third-country jurisdictions, aligning with CADA's broader goal of technological sovereignty. This ensures that regional businesses can build their digital infrastructure on resilient, EU-based foundations.

Overcoming Local Gaps: The Network Effect

A common concern for SMEs in less digitally mature regions is the lack of local expertise or high-performance computing infrastructure. CADA addresses this through a networked approach rather than relying on isolated local entities.

Article 5(6) states: "A network of Centres for AI shall be established to support collaboration and the exchange of best practices among Centres for AI, and to provide specialised services across regions where the required skills or compute capacity are not available locally."

This clause is a game-changer for regional SMEs. It means that if a specific region lacks the local talent to train an AI model or the local data centre capacity to run it, the local Centre for AI is mandated to facilitate access to these resources from other parts of the network. The centre acts as a broker, ensuring that a regional SME can access the same high-level capabilities as a company in a major tech hub, thereby levelling the playing field.

Skills and Reskilling: Building the Workforce

The adoption of AI is impossible without a skilled workforce. Many regional SMEs struggle to recruit AI talent due to competition with larger firms or the lack of local training infrastructure.

Article 5(2)(b) mandates that the centres "ensure or provide access to relevant upskilling and reskilling schemes, in close collaboration with the AI Skills Academy."

This provision ensures that the Centres for AI do not just offer advice but actively facilitate the acquisition of skills. By collaborating with the EU-wide AI Skills Academy, the centres can offer standardized, high-quality training programmes tailored to the needs of local industries. This helps SMEs upskill their existing workforce, making them competitive in an AI-driven economy without needing to hire expensive external consultants.

Governance and Autonomy

While the Centres for AI are part of a coordinated EU framework, they are designed to be flexible and responsive to local needs. Article 5(5) provides that "Centres for AI shall have substantial overall autonomy as regards their organisation, composition and working methods, in compliance with the objectives set out in this Regulation."

This autonomy allows each centre to tailor its services to the specific industrial profile of its region. For example, a centre in an agricultural region might focus on physical AI and agri-food applications, while a centre in a manufacturing hub might focus on industrial AI and robotics. However, this autonomy is balanced by the requirement to cooperate with existing networks, including those in the field of semiconductors and data, ensuring alignment with broader EU industrial strategies.

What this means for you

For regional SMEs, public procurement officers, and local development agencies, the proposed CADA framework offers a clear roadmap for leveraging EU support.

1. For SMEs: Your Local Gateway to AI

If you are a regional SME looking to adopt AI, your first point of contact should be your local Centre for AI. As proposed, these centres are mandated to:

  • Connect you to European providers: They can help you identify and engage with sovereign-compliant cloud and AI providers, reducing the risk of vendor lock-in.
  • Access training: They provide access to upskilling schemes, helping your team build the necessary AI competencies.
  • Bridge resource gaps: If your region lacks local compute capacity or expertise, the centre can facilitate access to these resources through the EU-wide network, ensuring you are not limited by local infrastructure.

2. For Public Authorities: A Strategic Partner

Local and regional authorities should integrate the Centres for AI into their digital transformation strategies.

  • Procurement Support: Use the centres to identify European providers that meet sovereignty requirements, ensuring that public procurement drives the growth of the local and European ecosystem.
  • Dissemination Channel: Leverage the centres to disseminate information about funding opportunities and digitalisation grants. Since the centres are mandated to provide upskilling access, they can help qualify local businesses for these opportunities.
  • Addressing Disparities: If your region lacks local AI expertise, utilise the network function under Article 5(6) to facilitate cross-regional collaboration, allowing local SMEs to access specialised services from elsewhere in the Union.

3. For Policymakers: Implementing the "AI First" Principle

The "AI first" principle is not just a slogan; it is a strategic directive. Public bodies should encourage local businesses to engage with the Centres for AI to conduct assessments based on this principle. This helps in identifying high-impact use cases for AI that can improve efficiency and service delivery, ensuring that AI adoption is driven by real business needs rather than hype.

Common misconceptions

"Centres for AI are only for large tech companies."

  • Reality: The CADA explicitly highlights the role of these centres in supporting SMEs and small mid-caps (SMCs). Article 5(2)(b) specifically mentions accelerating adoption "notably for SMEs, SMCs and public sector bodies." They are designed to lower the barrier to entry for smaller organisations that lack the resources to independently navigate the AI landscape.

"You must have local expertise to benefit."

  • Reality: The network model established under Article 5(6) is specifically designed to overcome local shortages. If your region lacks skills or compute capacity, the Centre for AI can provide access to these resources through the broader EU network. The centre acts as a bridge, ensuring that geographic location does not dictate access to technology.

"These centres replace existing local support structures."

  • Reality: The Centres for AI build upon existing European Digital Innovation Hubs. Article 5(1) states that they "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." They are an evolution and expansion of existing support mechanisms, adding specific focus on AI and cloud sovereignty, rather than replacing them.

"The 'AI first' principle means adopting AI regardless of risk."

  • Reality: The "AI first" principle, as referenced in the Apply AI Strategy and CADA, urges organisations to consider the needs and opportunities offered by AI "while taking into consideration the potential risks." It is a balanced approach that encourages innovation while ensuring safety and compliance.

Related

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