Summary Under the proposed Cloud and AI Development Act (CADA), operational objective 8 is the demand-side engine designed to increase the adoption of AI technologies at regional and local levels. As set out in Article 4(8), this objective specifically targets small and medium-sized enterprises (SMEs) and small mid-cap companies (SMCs) to ensure they are not left behind in the digital transition. The proposal would achieve this through four key mechanisms: promoting adoption via the network of Experience and Acceleration Centres for AI, developing a common cloud and AI curriculum, facilitating the sharing of public sector data centre services through the EuroCloud Federation, and providing direct support for public sector procurement of cloud and AI services.

Detail

The Cloud and AI Development Act (CADA), as proposed in COM(2026) 502 final, establishes a comprehensive framework to strengthen the EU's cloud and AI ecosystem. While earlier objectives focus on supply-side measures like building infrastructure and developing frontier technologies, Article 4(8) addresses the critical "last mile" of adoption. It aims to ensure that the benefits of the Cloud and AI Leadership Initiatives reach every corner of the Union, particularly at the regional and local levels where many SMEs and SMCs operate.

The Four Pillars of Operational Objective 8

Article 4(8) outlines four distinct but interconnected measures that would be implemented to drive this adoption. These measures are designed to lower technical, financial, and skills-related barriers for smaller entities and local authorities.

1. Promotion through the Network of Centres for AI The primary vehicle for regional adoption is the network of Experience and Acceleration Centres for AI ("Centres for AI"). Article 4(8)(a) mandates the promotion of broad AI adoption by private and public sector organisations, explicitly including SMEs and SMCs, through this network. These centres would build upon the existing infrastructure of European Digital Innovation Hubs (EDIHs). Their role would be to act as local accelerators, providing the necessary expertise, testing facilities, and skills support to help organisations integrate AI into their operations. By decentralising support, the proposal aims to ensure that regional disparities in digital maturity do not hinder the uptake of AI technologies. The Centres would serve as the primary point of contact for local businesses seeking to understand and implement AI solutions.

2. Development of a Common Cloud and AI Curriculum To address the skills gap that often stalls regional AI deployment, Article 4(8)(b) requires the development of a common cloud and AI curriculum. This curriculum would draw on the network of Centres for AI and other relevant European initiatives. The objective is to equip workers in both the public and private sectors with advanced competencies, thereby reducing dependence on non-EU providers who currently hold a disproportionate share of AI expertise. By standardising training across the Union, the proposal would help create a unified talent pool, making it easier for local authorities and smaller businesses to find qualified personnel capable of managing AI systems. This measure directly supports the broader goal of strengthening the Union's technological sovereignty by building internal human capital.

3. Facilitating Service Sharing via the EuroCloud Federation Article 4(8)(c) introduces the European public sector cloud federation, known as the "EuroCloud Federation." This mechanism is designed to facilitate the sharing of public sector data centre services and cloud computing services. By enabling Member States and Union entities to share idle capacity and secure cloud resources, the federation aims to reduce costs and increase the availability of sovereign cloud services for public bodies. This is particularly relevant for regional and local authorities that may lack the budget or scale to negotiate independent cloud contracts with major providers. The federation would allow these smaller entities to pool their resources, achieving economies of scale and accessing higher assurance levels of cloud services that would otherwise be out of reach.

4. Support for Public Sector Procurement Finally, Article 4(8)(d) mandates support for the procurement of data centre services and cloud computing services for Union entities and public sector bodies. This provision acknowledges that public procurement is a powerful lever for market shaping. By coordinating procurement activities and providing technical support, the Commission would help public authorities navigate complex tender processes. This support would ensure that public bodies can effectively access the secure and resilient digital solutions needed for their digital transformation, while also driving demand for European cloud providers. This measure complements the broader procurement rules in Title IV of the proposal, which would require public bodies to consider Union assurance levels when purchasing cloud services.

Strategic Context: The Focus on SMEs and SMCs

A defining characteristic of operational objective 8 is its explicit focus on SMEs and small mid-cap companies (SMCs). The explanatory memorandum accompanying the proposal highlights that while the EU possesses world-class research capabilities, these remain largely untapped by smaller enterprises. The proposal recognises that SMEs often face higher relative costs and greater technical hurdles when adopting AI compared to large corporations.

By targeting these groups, CADA aims to create a more diverse and competitive cloud market. The measures under objective 8β€”such as access to Centres for AI, shared cloud resources via the EuroCloud Federation, and a common curriculumβ€”are specifically designed to level the playing field. The goal is to ensure that smaller entities can benefit from the same technological advancements as larger incumbents, thereby fostering a more resilient and innovative European economy. The proposal seeks to prevent a "digital divide" where only large players can afford to adopt advanced AI, ensuring that the benefits of the digital transformation are distributed across the entire Union.

What this means for you

For public-sector procurement officers, regional administrators, and business leaders in SMEs and SMCs, operational objective 8 signals a significant shift towards more coordinated and supported AI adoption. If CADA is adopted in its current form, you can expect the following practical implications:

  • Access to Localised Support: You would have direct access to Experience and Acceleration Centres for AI in your region. These centres would serve as entry points for your organisation's digital transformation, offering tailored advice on integrating AI tools and connecting you with European providers. This would be particularly valuable for SMEs that lack dedicated IT departments.
  • Standardised Training Resources: The development of a common cloud and AI curriculum would provide you with standardised training materials and certification pathways. This would simplify the upskilling of your staff, ensuring they have the necessary competencies to manage and oversee AI systems effectively. For SMEs, this could significantly reduce the cost and complexity of training.
  • Cost-Effective Cloud Solutions: Through the EuroCloud Federation, your authority or organisation could potentially access shared public sector cloud capacity. This could reduce procurement costs and provide access to sovereign, secure cloud services that might otherwise be out of reach for smaller local budgets. This mechanism would allow smaller entities to benefit from the collective buying power of the public sector.
  • Procurement Assistance: The proposal envisages support for procurement activities, which could include templates, guidance, and possibly joint procurement opportunities. This would help you navigate the complexities of buying cloud and AI services, ensuring compliance with future sovereignty requirements while securing value for money.

Procurement officers and business leaders should begin preparing by mapping their current AI and cloud usage against the upcoming requirements for sovereign assurance levels. Engaging with local Centres for AI early will position your organisation to take advantage of these new support mechanisms and ensure a smooth transition to the new regulatory framework.

Common misconceptions

  • Misconception: Operational objective 8 only applies to large central governments.
    • Reality: The text explicitly targets regional and local levels, with a specific mandate to support SMEs and SMCs. The decentralised nature of the Centres for AI network is designed to bring support closer to smaller entities, ensuring they are not excluded from the AI transition.
  • Misconception: The EuroCloud Federation replaces existing cloud contracts.
    • Reality: The federation is designed to facilitate the sharing of services among public bodies to enhance efficiency and sovereignty. It is a supplementary mechanism, not necessarily a mandatory replacement for all existing contracts, though it may influence future procurement strategies by offering a more cost-effective and sovereign alternative.
  • Misconception: The common curriculum is optional for public sector workers.
    • Reality: While the regulation mandates the development of a common curriculum, the uptake will likely be driven by the need for staff to have the competencies required to manage AI systems under the new regulatory framework. Public bodies will be expected to ensure their staff are adequately trained to meet the demands of the evolving digital landscape.
  • Misconception: This objective is purely about technology.
    • Reality: Operational objective 8 is equally about skills, market access, and procurement strategy. It addresses the human capital gap through the curriculum and the market access gap through the Centres and the Federation, ensuring a holistic approach to adoption.

Related

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