• The paper produced by I-Com in collaboration with Datrix was presented yesterday during the launch of the new executive training programme “Becoming an AI-driven organization”.
• The adoption of artificial intelligence can strengthen business competitiveness only if it is integrated into corporate processes and governed responsibly. The skills shortage is confirmed as the main obstacle to AI adoption at both European and national level: it is cited by 70.9% of EU companies that do not use AI technologies and by 58.6% of Italian companies that, despite having evaluated their adoption, do not use them.
• The share of LinkedIn job postings requiring “AI literacy” has increased more than sixfold over the past year globally. Italy also shows growing attention: AI-related hiring is increasing at a faster pace than total hiring.
• The analysis carried out by I-Com and Bytek (a Datrix group company) on online searches related to corporate AI training signals a possible misalignment between the growing need for training within companies and the actual corporate training uptake.
• The executive training programme “Becoming an AI-driven organisation”, designed by Datrix and the I-Com think tank, marks the first concrete step in the entry of the two organisations into the world of managerial AI training. The initiative was created with the goal of supporting companies and top managers in integrating Artificial Intelligence into corporate strategies, strengthening competitiveness, governance and decision-making capacity.

Rome, 13 May 2026 — The adoption of artificial intelligence can strengthen business competitiveness only if it is integrated into corporate processes and governed responsibly. Building an AI-driven company means moving beyond isolated experiments and starting from concrete needs, priority use cases, data quality, internal policies and continuous upskilling. Within this framework, training is a crucial lever for developing not only technical skills, but also critical thinking, human oversight and responsibility in the use of AI, transforming it from a mere technology into a stable organisational capability, capable of generating productivity, innovation and lasting competitive advantage.

This is what is highlighted in the paper titled “Training the AI-driven company: awareness, skills and competitiveness”, produced by the Institute for Competitiveness (I-Com) in collaboration with Datrix and presented yesterday in Rome. The event, which brought together entrepreneurs, top management and institutional stakeholders interested in exploring the concrete opportunities AI offers to the Italian business ecosystem, was the occasion for the launch of the executive programme “Becoming an AI-driven organization”, which marks the first concrete step in the entry of the two organizations into the world of managerial AI training.

The initiative was created with the goal of supporting companies and top managers in integrating artificial intelligence into corporate strategies, strengthening competitiveness, governance and decision-making capacity. For the first year, three editions of the programme are planned (July, September and November 2026), aimed at C-Level executives and heads of function. The programme, delivered through a one-day in-person format, covers six key modules: AI scenario and trends; fundamentals and technologies (GenAI and Agentic AI); markets, economics and labour trends; governance, regulation and compliance; real use cases and concrete applications; final summary and discussion. The partnership between I-Com – an independent think tank with offices in Rome and Brussels led by economist Stefano da Empoli, with recognized experience in economic and regulatory analysis – and Datrix S.p.A., a company listed on Euronext Growth Milan and leading the first international ecosystem of vertical Artificial Intelligence software companies – makes it possible to combine operational experience with solid regulatory and policy expertise.

The study highlights in particular that the skills shortage is confirmed as the main obstacle to AI adoption at both European and national level: it is cited by 70.