
The second phase of AI adoption will be decided not by the power of AI models themselves, but by which economies and organizations can actually deploy the technology to drive real productivity gains.
In Southern Europe, Greece, Portugal, Italy and neighboring countries are now building innovation ecosystems combining human capital, universities, startups, and digital infrastructure—with skills emerging as the critical bottleneck.
Microsoft's Southern Europe VP notes a stark gap: while 67% of executives are familiar with advanced AI tools, only 40% of employees are, and success will depend on organizations investing in large-scale reskilling and redesigning how work gets done.
What happened
Microsoft's Vice President for Southern Europe, Charles Calestroupat, told Fortune Greece that the region—Greece, Portugal, Italy and others—is moving beyond simply adopting AI tools to building a regional innovation ecosystem. Microsoft has already trained 100,000 people in digital skills through its GR for GRowth initiative, targeting professionals, students, and the unemployed across the public and private sectors.
Why it matters
The global economy is entering a phase where success depends not on who has the most powerful AI model, but on which countries and organizations can turn technology into real productivity at scale. A skills gap is already visible: 67% of executives claim familiarity with advanced AI tools, compared to only 40% of employees, meaning organizations that invest in reskilling will outpace competitors. Greece ranks 1st in Gen Z AI use in Europe, but bridging this leadership gap requires systematic training and infrastructure—not just technology.
What to watch
82% of leaders globally plan to integrate AI agents within 12–18 months, and 46% of organizations worldwide already automate workflows through AI agents. For Southern Europe, the challenge is moving from experimentation to systematic use, especially for frontline employees—a transition that hinges on whether large organizations redesign how they work and invest in structural reskilling.
Charles Calestroupat, Microsoft's Vice President for Southern Europe, recently spoke with Fortune Greece about the region's emerging role in artificial intelligence. His message: the first era of AI—dominated by demonstrations and debates over which organization possessed the most powerful large language model—is over. The global economy is now entering a second phase, where the competitive advantage goes to those who can actually scale AI technology into real productivity gains. For organizations and countries, that means the question is no longer who has the best AI tool, but which has the skills, leadership, and infrastructure to deploy it at scale and become a Frontier AI leader. In Southern Europe—Greece, Portugal, Italy, and neighboring markets—this transition is already underway. Countries in the region are moving beyond simply adopting existing AI tools to building ecosystems that integrate human capital, universities, startups, public institutions, and modern digital infrastructure. Calestroupat sees Greece as emblematic of this shift. The country, he told Fortune Greece, has several key ingredients: an increasingly mature innovation ecosystem, public digital initiatives such as mAigov, growing cloud and data center investments, and crucially, people with the right skills. He is responsible for 17 markets in the region and believes skills form the foundation of this entire transition—meaning the role of large organizations like Microsoft becomes decisive. Through its GR for GRowth initiative, Microsoft has already trained 100,000 people in digital skills: professionals in both public and private sectors, students, and unemployed individuals. The strategy reflects a commitment to inclusive digital transformation—ensuring that as the region harnesses AI, no one is left behind. Notably, Greece ranks 1st in terms of Gen Z AI use in Europe, a fact Calestroupat highlights when discussing the region's readiness. However, the Work Trend Index Report for 2025 reveals a sobering gap. While 46% of organizations worldwide already automate workflows through AI agents and 82% of leaders plan to integrate them within 12–18 months, a hierarchical chasm has opened: 67% of executives claim familiarity with advanced AI tools, but only 40% of employees do. For Southern Europe, this gap represents both a challenge and an opportunity. Integrating AI agents can accelerate digital transformation and narrow the productivity gap—but only if organizations move beyond experimentation into systematic deployment, particularly for frontline workers. Success will depend on whether large employers invest in structural reskilling, transforming employees into managers of autonomous digital assistants, and on whether they redesign how work is organized to build the trust required for AI to deliver measurable business value.
The article frames a critical inflection point in AI adoption: the industry has moved past the novelty of powerful models and now enters a phase defined by execution and organizational readiness. Charles Calestroupat, Microsoft's Vice President for Southern Europe, positions the region as uniquely positioned to seize this moment because it combines nascent innovation infrastructure with a population—particularly Gen Z—already comfortable with AI. However, the data surface a structural challenge. The 27-percentage-point gap between executive familiarity (67%) and employee familiarity (40%) with advanced AI tools suggests that many organizations have adopted or experimented with AI at leadership levels without systematizing that knowledge across their workforce. This is especially acute in Southern Europe, where digital maturity varies by market and country. The GR for GRowth initiative's focus on training 100,000 people—spanning both employed and unemployed, public and private sectors—reflects a recognition that inclusive, broad-based skill development, not top-down tool deployment, will determine whether the region becomes a regional AI leader. The 12–18 month horizon cited by 82% of leaders for integrating AI agents suggests the gap between aspiration and capability is narrowing, but only if organizations invest in reskilling frontline workers, not just executives.
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