Italy's business sector is accelerating its artificial intelligence investment, yet confronts a paradoxical obstacle: Over half the digital professionals required to operate these systems simply cannot be found. The Italy Confederation of Artisans (Confartigianato) has released data showing that out of 621,180 positions demanding advanced digital competencies in 2025, 315,560—an alarming 50.8%—proved impossible to fill, throwing a significant wrench in the country's digital transformation ambitions.
Why This Matters
• Economic brake: Nearly 60% of companies cite the shortage of qualified AI personnel as the main barrier to deploying artificial intelligence, outpacing concerns about cost or legal clarity.
• Regional impact: Lombardy alone cannot find 60,960 digital professionals out of 121,440 requests, while Milan struggles with 29,840 unfilled roles.
• Salary advantage: Specialized AI roles command up to 42% higher salaries, with senior engineers earning €70,000 to €85,000+ annually.
• Mandatory training ahead: Starting June 2026, AI literacy becomes compulsory professional education under new Italian legislation.
A Skills Drought Hitting Every Region
The shortage is not evenly distributed. Lombardy leads nationally in absolute terms, unable to source 60,960 skilled workers despite posting 121,440 job requests—a 50.2% shortage rate. Following Lombardy are Campania and Lazio, indicating the problem extends beyond the industrial north into service-oriented regions and the capital.
At the provincial level, Milan tops the list with 29,840 unfilled positions out of 64,320 requests (46.4% shortage), followed by Rome, Naples, Bari, and Turin. Yet the highest percentage shortages appear in Trentino-Alto Adige (60.9%) and Umbria (60.7%), suggesting smaller markets face even steeper recruitment challenges.
These figures encompass professionals capable of working with AI, cloud computing, Industrial Internet of Things (IIoT), big data analytics, blockchain, and virtual/augmented reality—the technological backbone of modern manufacturing, logistics, finance, and services.
What Enterprises Say They Need
Confartigianato's research office reports that 71.8% of Italian companies have already invested in at least one dimension of digital transformation. The propensity climbs to 73.4% in the services sector and settles at 70.8% in manufacturing, utilities, and construction.
Yet when asked to identify obstacles preventing AI adoption, 58.6% of businesses point directly to insufficient qualified personnel. Other concerns trail significantly behind:
• 47.3% cite unclear or incomplete legislation
• 45.2% mention unavailability or poor quality of necessary data
• 43.2% worry about privacy and data protection risks
• 43% flag high costs
• 25.7% raise ethical considerations
The personnel gap thus exceeds every other factor, including regulatory uncertainty tied to the EU AI Act and privacy frameworks under GDPR.
Why Italy Cannot Close the Gap
Only 54.3% of Italians aged 16 to 74 possess at least basic digital skills, according to the Italian National Institute of Statistics (ISTAT) 2026 Annual Report. While improved from 2021, this remains far below the EU's 2030 target of 80% and behind the current EU average of 60.4%.
The root issue is inadequate structured training. A 2026 study by Rome Business School and Planeta Formación y Universidades found that while 93% of Italian professionals recognize at least one AI tool, 75% have never received formal training, and 51% desire it but lack access.
Meanwhile, demand for AI skills surged 40% in the first four months of 2026 compared to the same period in 2025. The most sought-after roles include AI Engineer, Data Engineer, Generative AI Specialist, AI Governance expert, and Compliance professionals capable of navigating the new regulatory landscape.
Large enterprises in Italy show a 53% AI adoption rate, but among small and medium enterprises with fewer than 49 employees, the figure collapses to 14.2%. Internal skills shortages are the primary reason SMEs cannot experiment with or scale AI solutions.
What Salaries Look Like for AI Talent
The scarcity translates into premium compensation. In 2026, AI professionals in Italy earn between €30,000 and €90,000 annually depending on seniority and specialization. Breaking it down:
• Junior AI Engineers (0–2 years): €32,000–€50,000
• Senior AI Engineers (specialized in large language models or generative AI): €70,000–€85,000+
• Machine Learning Engineers (senior): €65,000–€90,000
• AI Product Managers: €60,000–€110,000
• Freelance AI consultants: €700–€1,200 per day
Milan offers 10–15% salary premiums over the national average, concentrating the highest-paid roles in the northern financial and industrial hub.
Despite these figures, Italy's tech salaries remain below European averages, and the country's heavy reliance on small businesses limits upward pressure on pay. The persistent tax wedge further reduces net take-home income, making the market less attractive for international talent.
What the Government and Industry Are Doing
Italy's "Digital Italia 2026" strategy, part of the National Recovery and Resilience Plan (PNRR), aims to:
• Raise basic digital skills to 70% of the population by the end of 2026
• Double the number of people with advanced digital competencies
• Triple the graduates in ICT fields
A separate National AI Strategy (2022–2024) seeks to build a domestic AI ecosystem with research hubs, regulatory clarity, and workforce development programs.
Starting February 2025, the EU AI Act mandated that companies using AI systems ensure AI literacy training for all personnel, including external collaborators. From June 2026, AI literacy becomes compulsory continuing education for professionals under Italian Law 132 of September 23, 2025.
Several public funding channels now support corporate upskilling:
• Fondimpresa (active through 2025–2026)
• Fondo Nuove Competenze (FNC)
• Formazione PMI Mezzogiorno (€50M allocated, applications open April 2026)
• Regional POR FESR grants
• Fondoprofessioni Avviso 09/25 for small-group and individual AI training
• Ministry of Enterprise and Made in Italy (MIMIT) subsidies for SME training programs with budgets exceeding €10,000
For the education sector, the Ministry of Education and Merit allocated €100M in March 2026 to train teachers, administrative staff, and school administrators in AI literacy.
How Other European Countries Are Responding
Italy's struggle is not unique. Across the European Union, nearly half of IT workers lack AI skills, threatening innovation and competitiveness. The European Commission launched the AI Skills Academy, aggregating training programs and developing pilot AI apprenticeships and degrees. The EU Talent Pool Regulation aims to match non-EU job seekers with employers facing critical shortages in digital and green transitions.
France committed €10B to its "France and AI" plan, while Portugal's "AI Portugal 2030" targets upskilling 1.3 million workers. Germany expanded its EU Blue Card scheme and strengthened STEM education, and Belgium's Flanders AI Academy maps training opportunities and collaborates with universities to expand AI coursework.
Denmark earmarked €200M for AI R&D focused on health, education, and sustainability, and Austria's "AI Radar" supports tourism-sector AI adoption through dedicated workshops.
What This Means for Residents and Job Seekers
For job seekers, the skills shortage represents opportunity. Even entry-level AI engineers command salaries 20–30% above the national average for technical roles. Professionals who invest in prompt engineering, AI governance, compliance, and machine learning can expect rapid career progression and access to remote or hybrid roles increasingly common in tech.
For business owners and managers, the shortage presents risk. Companies unable to hire AI talent face competitive disadvantage, particularly in export-oriented manufacturing and high-value services. Many are turning to external consultants or partnerships with universities and training providers to bridge the gap.
Employees in traditional roles should note that AI competencies are no longer niche. From customer service to quality control, AI literacy is becoming a baseline requirement, much like Excel proficiency was a generation ago. Those who delay upskilling risk obsolescence.
For policy and education stakeholders, the data underscores urgency. Italy risks falling further behind northern European competitors unless training pipelines expand rapidly. The €100M education fund and PNRR investments are necessary but may prove insufficient given the estimated 20,000-person shortfall in specialized roles by the end of 2026.
The Regulatory Push Adds Pressure
The EU AI Act and Italy's implementing legislation impose not only opportunities but obligations. Companies must now demonstrate that personnel interacting with high-risk AI systems possess documented literacy and training. Non-compliance risks administrative penalties and reputational damage.
For training providers, this creates a mandated market: enterprises must source courses, certifications, and continuing education programs. Institutions like CIS Formazione, IT4LIA AI Factory, LUMSA, and CUOA Business School have launched or expanded AI curricula targeting both technical and managerial audiences.
Free programs also exist. Fondazione Aldini Valeriani in Emilia-Romagna launched "Hello AI 2025," offering no-cost online courses for regional entrepreneurs and employees at entry and intermediate levels.
A Bottleneck That Won't Resolve Quickly
The convergence of rapid AI adoption, insufficient training infrastructure, regulatory mandates, and salary competition creates a structural bottleneck unlikely to ease before 2027. Confartigianato's data captures a moment when demand outpaces supply by more than half, and no silver bullet exists.
Italy's heavy reliance on micro and small businesses—which lack internal HR or training budgets—means public funding and regional initiatives carry outsize importance. Yet even well-funded programs require time to produce graduates and certified professionals.
The broader question is whether Italy can retain domestically trained talent. With higher salaries, lower taxation, and more mature tech ecosystems in Germany, France, and the Netherlands, the risk of brain drain looms large. The EU Talent Pool aims to attract non-EU professionals, but Italy's bureaucratic complexity and slower salary growth may limit its appeal compared to neighbors.
For now, the message is clear: businesses need AI skills, but half the required workers are nowhere to be found. Until training scales and retention improves, the digital transformation Italy envisions will proceed at half speed.
