Keeping Pace with AI: ARISA Updates the AI Skills Strategy for Europe  ­

The ARISA AI Skills Strategy for Europe got an important update in 2025, reflecting just how fast artificial intelligence is evolving and how quickly its role in the workplace is changing. While earlier efforts focused on helping organisations adopt AI, the focus has now shifted toward scaling its use, integrating it into organisational workflows and processes, and making sure it delivers real value. This latest update captures the key changes shaping the AI landscape – from the rise of generative and agentic AI to the growing need for responsible and ethical use – and translates them into clear priorities for skills development across Europe. 

Guided by the vision of building a strong and future-ready AI skills base in Europe, the strategy focuses on practical actions such as developing flexible learning programmes, promoting inclusion and ethical AI, and strengthening cooperation across sectors. It follows a continuous cycle of design, implementation, and evaluation, allowing it to adapt to technological change and evolving labour market needs. 

Building on this foundation, the 2025 update does not redesign the strategy, but sharpens its focus and implementation logic in response to rapid technological developments, new regulations, and lessons learned so far. In particular, it introduces several key shifts: 

1. The strategy moves beyond early AI adoption and focuses on scaling, integration, and real impact. It emphasises embedding AI into everyday workflows and linking experimentation more closely to business and organisational outcomes.  

2. It places generative AI at the centre of skills development, while also starting to address newer trends such as agentic and physical AI systems. This reflects how these technologies are already reshaping jobs and skills needs across industries.  

3. Prompting is no longer seen as a niche skill, but as a core competence. The strategy highlights the importance of human-AI interaction and makes prompt-related skills a baseline requirement across many roles.  

4. There is a stronger focus on transversal skills and cross-cutting capabilities such as critical thinking, ethics, governance, trust, and responsible AI use.

5. Modular learning becomes a key approach to delivering skills. Flexible and adaptable training formats are promoted to support continuous and targeted learning.  

6. The approach to certification is updated to improve how skills are recognised across sectors and countries, making them more relevant to the labour market.  

7. Environmental and ethical aspects are given greater attention, reinforcing the importance of sustainable and responsible AI.  

8. The strategy is more closely aligned with the European AI Act, ensuring stronger alignment with emerging European requirements around AI literacy, governance, and responsible deployment.  

9. Finally, the approach to upskilling and reskilling becomes more targeted and phased, focusing on specific use cases rather than a one-size-fits-all acceleration.  

Together, these updates mark a clear shift from strategy design to implementation. They translate changes in the AI landscape into more concrete actions, including clearer role and skills profiles, expanded learning opportunities, improved certification systems, and stronger support for AI literacy and collaboration. 

Overall, the updated strategy is more practical, flexible, and responsive. It moves away from broad approaches toward more targeted actions that reflect different levels of readiness across sectors. This helps ensure that AI skills initiatives in Europe are not only relevant, but also scalable and impactful. 

What is ARISA? 

ARISA (Artificial Intelligence Skills Alliance) is an Erasmus+ funded project that brings together industry, education providers, and policymakers to address the growing gap between the demand for AI skills and the available workforce. By developing strategies, tools, and training approaches, ARISA supports Europe in building a strong, future-ready talent base for an AI-driven economy.