Summary As proposed, the Cloud and AI Development Act (CADA) would drive AI adoption among small and medium-sized enterprises (SMEs) and small mid-caps (SMCs) through a coordinated ecosystem of support. The Act mandates the establishment of a network of Experience and Acceleration Centres for AI, which are tasked with accelerating adoption at regional and local levels in line with the "AI first" principle (Article 5(2)(b)). This network is explicitly designed to promote broad adoption by SMEs and SMCs under the Cloud and AI Leadership Initiatives (Article 4(8)(a)). Furthermore, Member States would be legally required to include specific measures for these entities in their national cloud and AI strategies, using the Centres as primary entry points (Article 7(2)(b)).
Detail
The proposed Cloud and AI Development Act (CADA) addresses a critical gap in the European digital landscape: the ability of smaller businesses to access and integrate advanced AI technologies. While large corporations often possess the capital and expertise to deploy AI independently, SMEs and SMCs frequently face barriers related to skills, cost, and access to infrastructure. CADA, as proposed in COM(2026) 502 final, does not seek to regulate these entities with heavy compliance burdens. Instead, it establishes a supportive framework designed to democratize access to AI through infrastructure, education, and strategic alignment.
1. The Network of Experience and Acceleration Centres for AI
The cornerstone of CADA's strategy for SME and SMC adoption is the creation of a network of Experience and Acceleration Centres for AI (hereinafter "Centres for AI"). These entities are not created from scratch; rather, they build upon the existing network of European Digital Innovation Hubs, refocusing their mandate to specifically address the AI transition.
Operational Objectives for SMEs The legislative intent is clear in Article 4, which outlines the operational objectives of the Cloud and AI Leadership Initiatives. Specifically, Article 4(8)(a) states that the Initiatives shall "promote the broad adoption of AI by private and public sector organisations, including SMEs and SMCs, through the network of Experience and Acceleration Centres for AI". This provision elevates the Centres from general innovation hubs to the primary vehicle for ensuring that smaller market players are not left behind in the AI revolution.
The "AI First" Mandate The operational scope of these Centres is further defined in Article 5. Article 5(2)(b) explicitly tasks the Centres with the objective 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 embedded in CADA, urges organisations to reflect on their business processes and consider the needs and opportunities offered by AI before defaulting to traditional methods. By mandating that the Centres operate under this principle, CADA ensures that support provided to SMEs is not merely technical but also strategic. It encourages a cultural shift where AI is viewed as a fundamental tool for business optimization and growth.
Specific Tasks to Enable Adoption To translate these objectives into action, Article 5(3) details the specific tasks the Centres must perform:
- Digital Transformation Support: Helping organisations accelerate their digital transformation by providing access to AI technologies and connecting them with European providers of cloud and AI technologies.
- Skills Development: Ensuring or providing access to relevant upskilling and reskilling schemes, in close collaboration with the AI Skills Academy. This addresses the talent gap that often prevents SMEs from adopting AI.
- Knowledge Transfer: Facilitating the transfer of expertise across regions, ensuring that best practices in AI adoption are shared widely.
- Scaling Support: Supporting the scaling-up of spin-offs and start-ups emerging from universities and incubators by facilitating access to clients and organisations seeking specialised AI services.
2. National Cloud and AI Strategies: A Top-Down Approach
While the Centres for AI provide the on-the-ground infrastructure, CADA ensures a cohesive top-down strategy by requiring Member States to adopt national cloud and AI strategies. These strategies serve as the blueprint for how each country will implement the Regulation's objectives.
Mandatory Inclusion of SME Measures Article 7 sets out the requirements for these national strategies. Crucially, Article 7(2)(b) mandates that national strategies must include "measures to accelerate the development and adoption of cloud and AI at national, regional and local level, particularly among public sector bodies, SMEs and SMCs, including by supporting the Centres for AI referred to in Article 5 as entry points to the European AI innovation ecosystem".
This provision creates a binding obligation for Member States to:
- Identify specific barriers to AI adoption faced by SMEs and SMCs.
- Design measures to remove these barriers.
- Formalise the Centres for AI as the primary "entry points" for accessing these measures.
By linking national funding and policy efforts directly to the Centres, CADA ensures that support is channelled through established, localised hubs rather than fragmented national programs. This creates a unified ecosystem where an SME in one Member State can access similar support structures as an SME in another, fostering a truly single market for AI adoption.
Alignment with Digital Decade Targets These national strategies must also be consistent with the digital targets established under the Digital Decade Policy Programme 2030. This includes the target for the adoption of cloud computing services and AI by at least 75% of Union enterprises. Member States are required to notify the Commission of their strategies and assess them at least every three years, ensuring that the support mechanisms for SMEs and SMCs remain effective and responsive to technological changes.
3. Complementary Measures for SMEs
Beyond the Centres and national strategies, CADA includes several other provisions that indirectly but significantly benefit SMEs and SMCs:
- Access to Computing Resources: Article 9 ensures that sufficient AI computing resources are allocated to support industrial innovation and physical AI projects. While the primary focus is on frontier AI, the broader availability of compute capacity helps reduce costs for all users. SMEs can access these resources through the Centres, lowering the barrier to entry for resource-intensive AI applications.
- Open Source Promotion: Article 41 encourages Union entities and public sector bodies to use and facilitate the reuse of open standards and components released under an open source licence. Article 42 and Article 43 further facilitate the sharing and reuse of software developed by public sector bodies via the EU Open Source Solutions Catalogue. This creates a pool of reusable, cost-effective tools that SMEs can leverage without the need for expensive proprietary development.
- Common Procurement: Article 37 allows the Commission to act as a central purchasing body for cloud and AI services. This mechanism enables SMEs to benefit from aggregated purchasing power, potentially securing better terms and prices for cloud and AI services than they could negotiate individually.
- Innovation Procurement: Article 33 sets an objective for Member States to award at least 25% of their procurement for cloud computing services and AI systems to innovative SMEs. This creates a direct market pull for SME innovation.
What this means for you
For cloud service providers, data centre operators, and technology vendors, understanding these provisions is critical for aligning your business strategy with the emerging EU regulatory landscape.
- Partner with the Centres for AI: As the designated entry points for SME and SMC support, the Centres for AI will be the primary interface for smaller businesses seeking AI solutions. Consider establishing partnerships with these Centres to offer tailored solutions, training programs, or pilot projects. This can provide direct access to a broad customer base and demonstrate your commitment to the European AI ecosystem.
- Align with National Strategies: Monitor the development of national cloud and AI strategies in your target markets. These strategies will outline specific funding opportunities and policy priorities for SME adoption. Aligning your service offerings with these national priorities can position you as a preferred partner for both public and private sector clients.
- Embrace Open Source: Given the Act's emphasis on open-source solutions and the reuse of public sector software, consider integrating open-source components into your service offerings. This can reduce development costs and appeal to SMEs looking for flexible, transparent, and cost-effective solutions.
- Prepare for Aggregated Procurement: The establishment of a common procurement framework means that large-scale contracts for cloud and AI services may be awarded through centralised EU-level processes. Ensure your compliance and technical capabilities are ready to compete in these larger, aggregated procurement exercises, which may offer significant volume opportunities.
Common misconceptions
"CADA imposes strict AI compliance requirements on SMEs." Reality: CADA focuses on enabling AI adoption rather than regulating SMEs directly. The heavy compliance burdens are primarily on cloud service providers (through the sovereignty framework) and large-scale AI model providers (under the AI Act). CADA's measures for SMEs are supportive, focusing on access, skills, and strategic guidance.
"The Centres for AI are new, standalone bureaucratic entities." Reality: As stated in Article 5(1), the Centres for AI build on the existing network of European Digital Innovation Hubs. They represent a refocusing and strengthening of existing infrastructure to specifically target AI adoption, rather than a completely new bureaucratic layer.
"Only large tech companies will benefit from CADA." Reality: While CADA addresses large-scale infrastructure, it explicitly prioritises SMEs and SMCs in its operational objectives (Article 4(8)(a)) and national strategy requirements (Article 7(2)(b)). The Act aims to create a level playing field by providing smaller businesses with the tools, expertise, and strategic guidance needed to compete.
Official sources
Related
- Centres for AI: How regional SMEs can accelerate adoption under CADA
- What is operational objective 8 (regional and local AI adoption) under CADA?
- What benefits do CADA's Centres for AI offer SMEs and startups?
- Is participating in a Centre for AI mandatory for SMEs under CADA?
- Why did the EU create the Cloud and AI Leadership Initiatives?
This is general information about a draft EU regulation, not legal advice.