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Italy trails its EU counterparts in AI adoption, with just 19.9% of citizens using AI tools compared to the European average of 32.7%, revealing a critical gap in digital literacy that hinders economic progress.
Italy is among the European Union's least enthusiastic adopters of artificial intelligence (AI), with only 19.9% of its population aged 16 to 74 using AI tools last year, according to data from the national statistics agency ISTAT. This figure stands in stark contrast to the European average of 32.7%. The data underscores a broader issue: Italy's struggle with digital skills and technological integration.
The implications of this lag are significant for both individuals and the economy. In an increasingly digitized world, access to and proficiency with AI tools can enhance productivity, improve job opportunities, and drive innovation. For Italy, being behind in AI adoption could mean missing out on these benefits, potentially exacerbating existing economic challenges.
Only Romania had a lower rate of AI usage at 17.8%, according to the ISTAT survey. This low adoption is part of a larger pattern of digital underutilization in Italy. The country has the oldest population in the EU, with a median age of 48.7 years in 2024, compared to an EU average of 44.7 years. Older populations may face more significant barriers to adopting new technologies, which can contribute to a skills gap and hinder economic growth.
The digital divide is further highlighted by internet usage rates. Nearly 10% of Italy's population had not used the internet in the previous three months, as reported by Eurostat in a 2025 survey. This figure is higher than many other EU countries, with only Poland, Portugal, Lithuania, Greece, Bulgaria, and Croatia recording worse figures.
The lack of digital skills extends beyond just AI usage. It affects various aspects of daily life and work, from accessing online services to participating in the digital economy. For instance, individuals who are not comfortable using digital tools may find it harder to secure jobs or manage their finances effectively.
From a policy perspective, addressing this shortfall is crucial. The Italian government has recognized the importance of digital transformation and has initiated several programs aimed at improving digital literacy and infrastructure. However, more comprehensive and targeted efforts are needed to bridge the gap.

One potential approach is to integrate AI and digital skills training into educational curricula from an early age. This can help ensure that future generations are better prepared for a technology-driven workforce. Additionally, continuous learning programs for adults can provide essential skills to those already in the labor market, helping them adapt to new technologies and remain competitive.
Another key area is infrastructure development. Access to reliable internet and digital tools is fundamental for AI adoption. Investing in broadband expansion and ensuring equitable access across all regions of Italy could significantly boost digital engagement.
The private sector also has a role to play. Companies can invest in training programs for their employees, collaborate with educational institutions to develop relevant curricula, and support community initiatives that promote digital literacy.
In the long term, closing the AI adoption gap could have far-reaching benefits for Italy. Enhanced productivity, new job opportunities, and increased innovation are just some of the potential outcomes. Moreover, a more digitally savvy population can contribute to a more inclusive and resilient society, better equipped to face future challenges.
As other European countries continue to advance in their digital journeys, it is essential for Italy to keep pace. By addressing the current shortfall in AI usage and digital skills, Italy can position itself as a stronger player in the global economy and ensure that its citizens are not left behind in the digital age.
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About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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25 April 2026
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