What were the key developments in Data and Artificial Intelligence this month?
In this May edition, we explore how Europe is accelerating its AI infrastructure ambitions, while businesses continue to face practical barriers to AI adoption. From AI gigafactories and sovereign compute to agentic AI and cybersecurity risks, this month’s developments show that AI is no longer only a technology topic: it is becoming a strategic, industrial and security priority.
Together, these trends highlight a critical challenge for organizations: how to scale AI responsibly while securing infrastructure, developing skills, ensuring compliance and maintaining control over data and operations.
1. French players join forces for a European AI gigafactory
Ardian, Orange, EDF, Bull, Capgemini and Artefact have joined Iliad and Scaleway in the AION consortium to bid under the European Union’s AI Gigafactories initiative. The project aims to strengthen Europe’s AI infrastructure by combining expertise in energy, cloud, supercomputing, data centers and industrial deployment.
Why it matters for your business
European organizations should expect AI infrastructure to become a major competitive factor. Access to sovereign, high-performance and low-carbon compute will be essential for training and deploying advanced AI models. Businesses need to monitor these initiatives closely, as they may shape future options for compliant, scalable and European-controlled AI services.
Read more here.
2. Agentic AI brings autonomous decision-making into cybersecurity
Agentic AI systems are designed to act with a higher degree of autonomy: they can analyze situations, adapt to changing environments and execute actions with limited human intervention. In cybersecurity, these capabilities can help improve threat detection, automate incident response and strengthen defense mechanisms. However, the same technologies may also be used by attackers to automate cyberattacks, refine phishing techniques and continuously adapt malicious activity.
Why it matters for your business
Organizations will increasingly face a cybersecurity environment where AI is used by both defenders and attackers. AI-driven security tools may improve threat detection and operational efficiency, but businesses also need to prepare for more automated and adaptive cyber threats.
This requires a balanced approach combining AI-enabled cybersecurity capabilities with governance, human oversight and clear security policies for autonomous systems.
Read more here.
3. Europe advances its AI gigafactory initiative
The EU’s AI Gigafactory initiative is designed to support large-scale AI compute capacity in Europe, but its impact goes beyond data centers. These facilities will require access to low-carbon power, grid capacity, advanced cooling, fiber connectivity and strong governance models.
Why it matters for your business
AI infrastructure planning is becoming a strategic issue. Organizations will need to consider where AI workloads are hosted, how data residency is ensured, and which providers can deliver secure and compliant inference services. For telecom operators, cloud providers and enterprises, sovereign AI deployment may become a key source of value.
Read more here.
4. European businesses still face barriers to AI adoption
Eurostat 2025 data shows that lack of technical expertise, data privacy concerns and legal uncertainty remain the main reasons European businesses are not using AI tools. Cost is less of a barrier than skills, compliance and clarity around legal consequences.
Why it matters for your business
AI adoption depends on more than access to tools. Organizations need skills development, clear governance, high-quality data and a strong understanding of regulatory requirements. Companies that invest early in training, compliance frameworks and change management will be better positioned to move from experimentation to measurable business value.
Read more here.
5. Google discusses “singularity” while scaling up agentic AI for enterprises
At its recent cloud and AI discussions, Google combined long-term reflections on AI “singularity”, the hypothetical point at which AI systems could surpass human intelligence in certain tasks, with more immediate enterprise applications of agentic AI. The company presented autonomous AI agents capable of reasoning, planning and executing actions across enterprise environments with limited human intervention. Google sees these systems supporting areas such as workflow automation, software development and operational decision-making.
Why it matters for your business
While the idea of singularity remains speculative, agentic AI is already becoming a practical consideration for enterprises. Organizations may use these systems to automate more complex tasks and improve operational efficiency, but increased autonomy also raises questions around governance, accountability, security and oversight.
Read more here.
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