If you only have ten minutes this weekend to catch up on technology, education and innovation news, these are the developments I’d focus on.
What stood out this week is that many conversations are no longer about whether AI will be adopted. The discussion is increasingly about governance, skills, infrastructure and responsible deployment. That shift matters. It signals a move from experimentation to implementation, with consequences for schools, universities, businesses and policymakers.
1. The European Commission publishes new evidence on AI in education
What happened?
On 22 September, the European Commission published two major reports examining the impact of generative AI on learning and teaching, and the broader state of digital education across Europe. The reports conclude that generative AI is steadily moving into mainstream educational practice, but that evidence on long-term learning outcomes remains mixed and teacher training remains a major challenge. The Commission also found that nearly two-thirds of European education systems now have AI-related policy frameworks.
Source: European Commission
https://digital-strategy.ec.europa.eu/en/news/two-commission-reports-show-impact-artificial-intelligence-and-digital-technologies-teaching-and
Why does it matter?
This is one of the clearest signals yet that Europe’s AI conversation is moving beyond technology and into pedagogy. The Commission is essentially saying: AI is here, but we still do not fully understand its impact on critical thinking, learning habits and educational quality.
Why should Belgian readers care?
Belgian schools and universities are wrestling with exactly these questions. Many institutions have introduced AI guidelines during the past two years, but relatively few have fundamentally redesigned curricula or assessment. The Commission’s findings suggest that professional development for teachers may become one of the most important education investments of the next decade.
2. AI Literacy Is Becoming a Strategic Priority in Higher Education
What happened?
During the opening of the academic year, the Vrije Universiteit Brussel (VUB) emphasised that AI literacy should become a core competency for every graduate. The university argued that students need to understand not only how AI works, but also how to use it critically, responsibly and effectively.
Why does it matter?
The conversation in higher education is gradually shifting from “Can students use AI?” to “How do we prepare students to work with AI?”
That may sound like a subtle change, but it has major implications for curriculum design, assessment methods and graduate skills. It suggests that institutions need more than AI guidelines. They need learning outcomes, teaching approaches and evaluation strategies that reflect a world where AI is becoming an everyday tool in both professional and academic environments.
Perhaps the most important insight is that AI literacy is not just about technology. It combines technical understanding, critical thinking, ethical awareness, information literacy and the ability to judge when human expertise remains essential.
Why should Belgian readers care?
VUB is not alone in moving in this direction. Across Belgium, universities and universities of applied sciences are exploring how AI competencies should be embedded into education.
At Howest, for example, significant efforts are underway to develop an AI Literacy learning pathway for students. Rather than treating AI as a standalone technology topic, the initiative focuses on practical skills that students can immediately apply throughout their studies and future careers. These include working effectively with generative AI, prompt engineering, critically evaluating AI-generated content, understanding ethical and legal considerations, and recognising the impact of AI on professional practice.
What makes this particularly relevant is that employers increasingly expect graduates to possess these capabilities. Technical expertise remains important, but organisations are also looking for people who know how to collaborate with AI systems, verify outputs, manage risks and make informed decisions.
This positions institutions such as Howest at the forefront of a broader educational transition. The most future-ready institutions will not be those that simply allow or prohibit AI. They will be those that explicitly teach students how to use AI professionally, responsibly and critically.
In many ways, AI literacy is becoming what digital literacy was twenty years ago: not a specialist skill, but a foundational capability for every graduate entering the labour market.
3. UNESCO Calls for Human-Centred AI in Education
What happened?
At UNESCO’s Digital Learning Week, education ministers and representatives from more than 25 countries endorsed a statement calling for education to remain a public good in the age of AI. The declaration emphasises teacher agency, critical thinking and public accountability in AI deployment.
Source: UNESCO
https://www.unesco.org/en/articles/education-ministers-call-education-remain-common-good-age-ai-unescos-digital-learning-week
Why does it matter?
This is an important counterbalance to the increasingly commercial nature of educational AI. While technology providers are rapidly expanding their offerings, UNESCO is warning that educational systems must remain centred around human judgement and public values.
Why should Belgian readers care?
Belgium is already navigating questions around AI procurement, student data, academic integrity and assessment. UNESCO’s message is a reminder that schools and universities should not simply adopt AI because it exists. They need to decide how technology supports educational goals.
4. AI Literacy Is Becoming a Compliance Issue
What happened?
The EU AI Act continues moving from legislation to implementation. The European Commission highlighted this week that AI literacy obligations now form a practical part of AI governance and that national authorities have begun supervisory activities under the Act’s implementation timeline.
Source: European Commission AI Office
https://digital-strategy.ec.europa.eu/en/policies/ai-talent-skills-and-literacy
Why does it matter?
AI literacy is no longer just a training topic. It is becoming a governance requirement. Many organisations still approach AI training as an optional professional-development activity. European regulation increasingly views it as part of responsible AI deployment.
Why should Belgian readers care?
Public institutions, educational organisations and companies in Belgium should pay close attention. The question is no longer whether staff need AI training, but whether organisations can demonstrate that employees have adequate understanding of the systems they use.
5. Europe’s Digital Skills Agenda Gains Momentum
What happened?
The European Commission confirmed that findings from its new education reports will feed into its forthcoming Education Package and broader Union of Skills initiative. The focus includes digital skills, teacher development and educational infrastructure.
Source: European Commission
https://education.ec.europa.eu/whats-new/news/new-reports-examine-how-ai-and-digital-technologies-are-shaping-education-in-europe
Why does it matter?
Skills policy is increasingly becoming economic policy. Europe faces simultaneous shortages in digital, engineering, cybersecurity and AI-related roles. Policymakers are beginning to treat skills development as strategic infrastructure.
Why should Belgian readers care?
Belgium’s competitiveness increasingly depends on talent availability. Whether you’re in cybersecurity, manufacturing, healthcare, software development or research, talent shortages remain one of the most immediate constraints on growth and innovation.
6. Sovereign AI Moves from Concept to Infrastructure
What happened?
This week saw significant investment announcements around sovereign AI infrastructure. One notable example was a six-country rollout of sovereign AI platforms built on NVIDIA technologies, including national-scale AI infrastructure plans and locally hosted models.
Source: MeetKai / NVIDIA ecosystem announcement
https://www.prnewswire.com/news-releases/meetkai-takes-sovereign-ai-built-on-nvidia-to-six-countries-302890312.html
Why does it matter?
The conversation around AI is increasingly shifting from models to infrastructure.
Countries are recognising that access to compute, data centres and local AI capabilities may become as strategically important as energy or telecommunications infrastructure.
Why should Belgian readers care?
Europe continues to debate digital sovereignty, cloud dependence and technological resilience. The same discussion is relevant for Belgium. Questions about where data is processed, who controls AI infrastructure and how local innovation ecosystems develop will only become more important.
7. AI Infrastructure Spending Continues to Accelerate
What happened?
New industry analysis highlighted the enormous scale of investment flowing into AI infrastructure globally. Estimates cited this week project hundreds of billions of dollars being invested in AI compute and supporting infrastructure during 2026.
Source: McKinsey Technology Trends coverage
https://cfo.economictimes.indiatimes.com/news/cfo-tech/ai-infrastructure-investment-seen-surging-to-769-billion-in-2026-amid-growing-safety-concerns/134484013
Why does it matter?
Much of the public discussion focuses on chatbots and AI applications. Behind the scenes, the real story may be the unprecedented construction of computational infrastructure.
These investments influence research capacity, industrial competitiveness, startup ecosystems and labour markets.
Why should Belgian readers care?
European universities, research centres and innovative companies compete within a global innovation system. Access to advanced compute resources increasingly affects who can conduct cutting-edge research and build next-generation products.
Three Trends Worth Watching
1. AI is becoming an institutional challenge
The week’s developments were not primarily about new AI capabilities. They were about governance, skills, teacher training and organisational readiness.
The question is increasingly how institutions adapt.
2. Skills are moving to the centre of policy
The European Commission, UNESCO, universities and employers are converging on a shared concern: skills.
AI literacy, digital competence and continuous reskilling are becoming strategic priorities across sectors.
3. Infrastructure is becoming the new battleground
Just as cloud computing became a strategic capability during the past decade, AI infrastructure is becoming a strategic asset today.
Countries, research institutions and companies are competing to secure access to compute, talent and data ecosystems.
The most interesting development this week was not a new AI model or a flashy product launch. It was the growing recognition that technology alone does not determine outcomes. Skills, governance, education and institutional choices matter just as much.
In many ways, the next phase of the AI era may be less about what the technology can do and more about what societies decide to do with it. Belgium, with its strong research base, international outlook and education sector, is well positioned to contribute to that conversation. The real question is whether we move quickly enough from awareness to action.