Portugal - National AI Strategy

Overview

The National Artificial Intelligence Strategy "AI Portugal 2030" (Estratégia Nacional para a Inteligência Artificial) was published in 2019 to define a long-term, national-level roadmap to promote AI research, skills, innovation and public sector modernization in Portugal. The strategy was developed as part of the INCoDe.2030 initiative and coordinated by national science and technology bodies, and it positions Portugal to align with EU AI priorities while strengthening domestic capacities in AI-driven products and services. Key objectives include talent attraction, the creation of innovation ecosystems, investment in advanced computing and research infrastructure, and stimulating AI adoption across sectors such as health, agriculture, public administration and industry. The strategy emphasises ethical, inclusive and secure AI development and foresees follow-up actions, funding calls, and monitoring tools to track progress. For the official presentation and the coordinating body see INCoDe.2030 – National Artificial Intelligence Strategy (EN) and the Portuguese government publication Estratégia Inteligência Artificial 2030 (Governo). ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Definitions

The strategy provides conceptual framing for AI, describing it as a set of technologies and approaches (including machine learning, pattern recognition and automated decision-support) that enable systems to perform tasks that would otherwise require human intelligence. It distinguishes policy aims (education, research, innovation, public sector modernization) from regulatory controls (legal obligations and sanctions), noting that AI Portugal 2030 is a strategy document intended to coordinate public and private actors rather than a binding legal instrument. Core definitional terms emphasise ecosystem components — talent, data and infrastructure — and the roles of Digital Innovation Hubs, CoLabs, and national coordination mechanisms for monitoring and evaluation.

Governance and Institutional Framework

Coordination and institutional roles are central to AI Portugal 2030. The strategy identifies INCoDe.2030 as the coordinating initiative and highlights the involvement of the Ministry of Science, Technology and Higher Education (MCTES), Fundação para a Ciência e a Tecnologia (FCT), Agência Nacional de Inovação (ANI), Ciência Viva, the Agência para a Modernização Administrativa (AMA) and other public agencies and academic institutions. Implementation relies on cross-ministerial cooperation, public–private partnerships, and the establishment of working groups to review and update the strategy and its action plans. The document outlines responsibilities for creating Digital Innovation Hubs, accrediting collaborative R&D projects, and facilitating access to EU funds (Horizon Europe, Digital Europe) through coordinated national participation. For details about the responsible bodies and coordination mechanism see INCoDe.2030 and the Government publication page Estratégia Inteligência Artificial 2030. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Key Focus Areas

AI Portugal 2030 concentrates on several mutually reinforcing focus areas: (1) Human capital — increasing AI education at all levels, upskilling and lifelong learning programs to build a talent pipeline; (2) Research & innovation — funding PhD grants, supporting collaborative R&D between universities and industry, and promoting international research integration; (3) Innovation ecosystem and companies — improving Portugal's attractiveness for startups and foreign R&D units, supporting scale-up and export of AI products, and encouraging private investment; (4) Digital infrastructure — investing in advanced computing (e.g., EuroHPC-aligned initiatives), data spaces and platforms to enable secure access to data for trustworthy AI; (5) Public sector transformation — piloting AI for public services, modernizing administrative processes and promoting evidence-based digital government; (6) Ethics, safety and security — promoting privacy, cybersecurity, ethical design and inclusive deployment of AI; (7) International alignment — aligning national actions with EU strategies and funding programs. These focus areas are designed to be cross-cutting and sector-neutral to enable adoption in healthcare, finance, agriculture, transport, manufacturing and other sectors. The strategy also calls for mapping national AI projects through instruments such as PT AI WATCH and monitoring participation in EU funding programs to ensure measurable progress. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Implementation Framework

Implementation is structured around calls for projects, grant funding, institutional coordination (working groups), Digital Innovation Hubs and targeted initiatives (for example: PhD funding, calls to stimulate industry–academia collaboration and pilot deployments in public services). The strategy sets an operational plan to leverage EU programs (Horizon Europe, Digital Europe) and national instruments to finance research, prototyping and adoption. It also envisages the creation and roll-out of platforms (PT AI WATCH) to map projects, measure outputs (patents, publications, startups) and identify gaps. Implementation responsibilities are distributed across national coordinating bodies, sectoral ministries and publicly funded agencies but rely heavily on voluntary collaboration from private-sector actors and research institutions. The strategy explicitly anticipates the need to review and update the plan periodically to incorporate evolving EU-level regulatory frameworks and technological developments. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Monitoring and Evaluation

Monitoring is planned via national indicators and mapping tools, including the PT AI WATCH platform, and periodic reporting of outputs such as funded projects, PhD grants, levels of private investment, participation in EU programs and the creation of Digital Innovation Hubs. The strategy calls for the creation of a Working Group to review results, update priorities, and publish revised strategies; regular stakeholder consultation and public dissemination of progress are emphasised. Quantitative and qualitative metrics are intended to measure effectiveness of funding, skills development, and ecosystem maturation over multi-year cycles. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Penalties, Liability, and Appeals

AI Portugal 2030 is a strategic, non-binding policy framework and does not itself establish penalties, administrative sanctions or private liability rules. The document sets priorities and recommended actions; any compliance requirements, enforcement mechanisms or liability regimes would be created later by sectoral laws, forthcoming national regulations or EU binding instruments. The strategy explicitly anticipates alignment with future EU regulatory work on AI and data, implying that liability, redress and appeal processes will be addressed through subsequent regulatory acts rather than within the strategy itself. Stakeholders are advised to follow evolving EU legislation (e.g., EU AI Act proposals and related instruments) and national implementing legislation for binding obligations and enforcement regimes. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Relationship to Other Instruments

AI Portugal 2030 is positioned within Portugal’s broader digital and innovation agenda (INCoDe.2030, national data strategy, advanced computing strategy and cybersecurity strategy). It is intended to be complementary to sector-specific strategies (health, agriculture, public administration modernization) and to align with EU-level programs (Horizon Europe, Digital Europe, EuroHPC). The strategy references collaboration with national entities (FCT, ANI, Ciência Viva, AMA) and coordination with EU priorities to ensure coherence across funding, standards and ethical guidelines. It also anticipates review cycles to adapt the national approach in light of new EU regulation and standards. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

International Alignment

The strategy explicitly aligns Portugal with EU plans on AI, endorsing participation in EU research and innovation programs and the Digital Innovation Hubs network. It emphasises adherence to European principles on trustworthy AI and collaboration with international research networks to attract talent and funding. AI Portugal 2030 is therefore framed to facilitate Portugal’s participation in EU-funded initiatives and to prepare national stakeholders for compliance with evolving EU regulatory frameworks. The strategy also references participation in international forums and the importance of harmonising national approaches with international norms and standards. ([incode2030.gov.pt](https://www.incode2030.gov.pt/estrategia-nacional-de-inteligencia-artificial-en/))

Implementation Timeline

Sources and References