Study: AI Adoption Uneven Across Italian Firms
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- A study in the International Journal of Business Information Systems found AI adoption is "remarkably uneven" across Italian firms, with some early innovators eagerly integrating the technology while others remain in preliminary exploration stages.
- The research team, led by Grazia Garlatti Costa et al., proposes an "AI Readiness Level" (AIRL) framework assessing data infrastructure quality, skilled personnel availability, leadership support, and external factors like regulatory pressures and market competition.
- Many Italian firms planning to adopt AI still lack the organizational structures needed to deploy it effectively, and the study describes this uneven uptake as a broader international pattern.
- Firms that have already adopted AI reported gains in operational efficiency, enhanced customer engagement, and more informed decision-making through predictive analytics, according to the research.
- The authors argue that successful AI adoption is less about installing new software than carrying out organizational transformation that aligns technology with workforce skills, management strategies, and governance structures.
- The paper, published in 2026 (DOI: 10.1504/ijbis.2026.152513), is described as one of the first systematic studies of AI adoption in Italy.
Why it matters: Italian firms already using AI report concrete operational and customer-engagement gains, putting the many firms stuck in the exploration phase at a competitive disadvantage. The researchers' argument that AI readiness depends on organizational design — not just software — gives Italian leaders a concrete diagnostic tool (AIRL) to benchmark where they stand before competitors widen the gap.
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