The OECD.AI Policy Navigator

The AI Portugal 2030 strategy aims to foster a collective process mobilizing citizens at large and key stakeholders in particular, towards building-up a knowledge intensive labour-market with a strong community of forefront companies producing and exporting AI technologies supported by research and innovation communities involved in excellent high level research.

AMALIA is the first LLM designed for European Portuguese, with the aim of ensuring Portugal's linguistic and cultural sovereignty. The base version was launched in SEP25 and the full multimodal version (capable of interpreting text, images and video) arrives mid-2026. Use cases will focus on the areas of education, culture, speech, media, science and public administration. The model will be openly available so that it can be used and improved by scientists and development teams on any platform.

Over the next two years, the AEXCIA platform, an AI-powered consumer experience management tool, will automate the handling of citizens’ complaints and information requests while analysing consumer behaviour, particularly on social networks. Designed to enhance efficiency, AEXCIA will support regulatory and supervisory activities by providing insights into consumer satisfaction and company conduct, ultimately improving consumer experience management through advanced AI capabilities.

The investor will be able to choose the relevant factors for their location decision from a comprehensive list of criteria, including, among others: 1 - Availability of infrastructure or land for construction2 - Type of required infrastructure (e.g., factory vs. office) and areas3 - Requirements for adjacent infrastructure (roads, ports, railways, IT, etc.)4 - Available human resources5 - Installation costs6 - Regulatory requirements (such as environmental licenses)

Portugal’s National Data Strategy aims to create a collaborative data ecosystem that promotes data altruism and drives innovation. It focuses on ethical data management, stakeholder collaboration, and continuous monitoring of data initiatives to assess their societal and economic impact.