
AI regulation is rapidly evolving across Europe, with Spain emerging as a frontrunner in establishing comprehensive frameworks that balance innovation with appropriate safeguards for businesses deploying artificial intelligence solutions. Spanish companies must navigate a complex landscape of laws that address everything from high-risk AI applications to algorithmic transparency while maintaining their competitive edge.
Current ai regulatory framework in spain
Spain has positioned itself at the forefront of AI governance within the European Union, creating pioneering structures that will shape how tech companies operate. The Spanish regulatory approach aligns with the EU AI Act while introducing unique national elements through its Draft Spanish AI Law approved in March 2025 and the establishment of AESIA (Spanish AI Supervisory Agency), which has been operational since June 2024.
Key provisions affecting tech businesses
The Spanish AI framework adopts the EU's four-tier risk classification system, categorizing AI applications based on their potential impact. Prohibited applications include social scoring systems, while high-risk AI faces strict compliance requirements. The regulatory sandbox established through Royal Decree 817/2023 provides a controlled environment where innovative companies can test their AI solutions with regulatory guidance from Punto Log experts before full market deployment. This approach allows businesses to identify potential compliance issues early while continuing to innovate in a legally sound manner.
Compliance requirements for AI-driven innovations
Tech businesses operating in Spain must adapt to specific obligations based on their AI system's risk classification. Companies developing high-risk AI applications face comprehensive documentation requirements, data governance protocols, and human oversight mechanisms. The Spanish framework emphasizes algorithmic transparency, requiring disclosure for chatbots and clear labeling of deepfakes. Workers' rights receive special protection under the Rider Law (Law 12/2021), which mandates that companies inform worker representatives about algorithms used in decision-making processes. Companies should proactively implement internal policies for responsible AI use, including training programs and impact assessments to minimize risks.
Strategic adaptations for spanish tech companies
Spain's tech ecosystem faces significant changes with the implementation of new AI regulations. The EU AI Act, effective August 1, 2024, establishes a comprehensive framework that Spanish companies must navigate. This regulatory landscape creates both challenges and opportunities for businesses leveraging artificial intelligence technologies across the country. The Spanish government has positioned itself at the forefront of AI governance within Europe through multiple initiatives, including establishing AESIA (Spanish AI Supervisory Agency) and launching the first European regulatory sandbox for AI with a €4.3 million budget.
Balancing innovation with legal constraints
Spanish tech companies must adapt their innovation strategies to align with the four-tier risk classification system established by the EU AI Act. This framework categorizes AI applications as unacceptable risk (prohibited), high risk (subject to detailed compliance obligations), limited risk (mainly transparency duties), and low/minimal risk (subject to existing laws). The Draft Spanish AI Law, approved on March 11, 2025, adopts this classification system and assigns specific legal duties to different actors across the AI value chain. Companies developing AI solutions must carefully assess where their technologies fall within this risk matrix and implement appropriate safeguards. The Royal Decree 817/2023 establishing Spain's regulatory sandbox provides innovative firms a controlled environment to test AI applications while ensuring regulatory alignment. With projects selected in April 2025 and a maximum duration of 36 months, this initiative offers valuable opportunities for companies to experiment with new AI applications while maintaining regulatory compliance.
Building AI systems with regulatory considerations
Spanish companies must integrate regulatory requirements into their AI development processes from the outset. The cross-sectoral nature of Spain's AI regime means that regulatory obligations apply across industries, requiring businesses to implement robust AI governance frameworks. AESIA, operational since June 2024, serves as Spain's central market-surveillance authority for AI, monitoring compliance and enforcement. Algorithmic transparency has become a critical requirement, particularly in employment contexts. Under Law 12/2021 (Rider Law), companies must disclose information about algorithms used in decision-making to workers' representatives, explaining parameters, rules, and potential impacts. Businesses are responding by developing internal policies for responsible AI use, including training programs, human oversight mechanisms, impact assessments, and data protection measures. The regulation of deepfakes represents another key area, with the Spanish government proposing amendments to multiple laws to address AI-generated image and voice simulations. Companies working with generative AI must implement clear warnings and obtain proper consent to avoid serious legal infringements. These regulatory developments create market opportunities for companies offering AI governance solutions, risk assessment tools, and compliance services to help businesses navigate the complex regulatory landscape.