Artificial intelligence, manufacturing and skills: what the Confindustria Report 2025 says and why it affects Umbrian companies closely

 

The Confindustria Report “Artificial Intelligence for the Italian System – 2025” offers an in-depth mapping of AI adoption in the national production system, based on more than 240 concrete use cases already active in Italian companies. The paper does not propose a territorial or regional reading, but an analysis by sectors, business functions and company size, which is particularly useful for understanding the dynamics at work in local production systems as well.

Manufacturing as a key area of application for AI

The Report shows that the manufacturing sector represents one of the main areas of Artificial Intelligence use in Italy: more than 20 percent of the cases surveyed involve industrial enterprises, with applications concentrated mainly on:

• Optimization of production processes,
• predictive maintenance,
• Quality control by computer vision,
• digital twin and process simulations.

These are solutions that not only intervene in technological efficiency, but also directly affect work organization, professional roles and decision-making models.

These trajectories are particularly significant for territories like Umbria, where the production fabric is characterized by a strong presence of manufacturing SMEs embedded in specialized supply chains, often oriented toward quality, production flexibility and product customization.

 

Adoption still limited, but structural gaps evident

The Report shows that despite a recovery in 2024, AI adoption in Italian companies remains low overall (about 8.2 percent of companies with at least 10 employees), with a significant gap compared to the European average. The difficulties are more pronounced in SMEs, which represent the predominant part of the national production system.

The main barriers identified are not technological, but relate to:

• Lack of appropriate skills,
• difficulty of integration into existing processes,
• data quality and management,
• Absence of a strategic vision of innovation.

These elements are also reflected in local analyses and surveys: recent studies conducted in Umbria indicate that many regional companies recognize the potential of AI, but struggle to translate it into structured projects precisely because of a lack of in-house expertise and capacity to govern change.

 

Not just technology: the organizational and managerial node

One of the most relevant aspects of the Confindustria Report is its emphasis on the fact that AI produces value only when it is embedded in a clear business plan, consistent with processes and supported by appropriate skills.

In manufacturing, successful cases show that AI:

• does not replace human labor, but redefines its roles and responsibilities;
• requires new intermediate skills between production, IT and management;
• calls for reflection on data governance, security, reliability and accountability of automated decisions.

For Umbrian manufacturing SMEs, this means that the challenge is not “whether” to adopt AI, but how to do so in a sustainable way, avoiding isolated experimentation and focusing on gradual, integrated and shared paths even at the supply chain level.

 

The strategic role of training

The Report highlights how the most effective AI projects are accompanied by structured investments in training, which cover not only technical skills, but include:

• Data literacy and data management;
• AI and digital process governance;
• Organizational innovation reading skills;
• Managerial skills for process transformation;
• Regulatory and normative awareness.

For manufacturing territories like Umbria, training therefore represents a decisive lever of competitiveness, capable of accompanying companies in the transition from interest in AI to its real integration into production and organizational models.