Artificial intelligence

Agent-based AI aims to take a quantum leap forward by being integrated into business processes

The focus is shifting from content creation to process execution. Interest amongst businesses is growing, but adoption in Italia remains limited

 EPA

4' min read

Translated by AI
Versione italiana

4' min read

Translated by AI
Versione italiana

A new chapter. Following the era of generative AI – capable of producing text, images and code on demand – we are now entering the era of agent-based AI: systems designed not merely to respond to a command, but to interpret an objective, plan a sequence of activities and carry them out autonomously whilst interacting with software, documents and databases. This is a shift that could profoundly alter the way businesses are organised, as it shifts the focus from support to the ability to execute tasks.

The market, however, is still in its early stages. “It is not yet a fully established phenomenon: this is a rapidly evolving and experimental field,” observes Alberto Beretta, a partner at Bip. “There are numerous announcements and projects underway, and a sharp rise in interest and adoption, but truly established use cases are still limited.”

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The figures also paint a picture of a technology that is growing rapidly, albeit from a modest starting point. According to Istat, 16.4 per cent of businesses with at least ten employees use artificial intelligence technologies, a figure that has doubled from 8.2 per cent in 2024 and more than tripled from 5 per cent in 2023. The European average – according to Eurostat data – stands at around 20 per cent, whilst countries such as Denmark, Finland and Sweden are at significantly higher levels.

The gap is particularly evident when looking at company size. In large Italian firms (again, according to Istat data), adoption stands at 53.1 per cent, whilst among SMEs it stands at just 15.7 per cent. It is precisely here, according to Beretta, that the greatest potential for transformation lies. ‘Italia is not yet at maturity, but is gaining momentum. Agent-based AI has the potential to change the operational paradigm, particularly for SMEs.’ The reason for this is also linked to the structure of the national manufacturing sector. “Many companies are still not very digitally organised, and this makes AI a potential catalyst for transformation.” The expected benefits relate to process efficiency, decision support, cost reduction and the automation of more complex tasks.

For large companies, however, the role of agent-based AI takes on a different dimension. “AI is seen as a tool to improve management’s work, support strategic decisions and guide the formulation of corporate strategies,” explains Beretta. “It does not replace management, but enhances it through data collection, analysis and decision support.”

Whilst the adoption of AI is now on the rise, that of intelligent agents remains limited. Among large enterprises, integrated AI agents have been adopted by 8.4 per cent of companies, whilst a further 16.8 per cent are currently trialling them. For bespoke solutions, the figure drops to 5.3 per cent, with 13.7 per cent in the pilot phase. These figures confirm that the market is still in its early stages, whilst indicating an acceleration in the short term.

The international outlook points in the same direction. According to McKinsey, 62 per cent of organisations are already trialling AI agents. Gartner estimates that by 2028, a third of business applications will incorporate agent capabilities and that 15 per cent of day-to-day operational decisions will be entrusted to these systems.

Adoption will not be uniform. In Italia, the sectors most advanced in the use of artificial intelligence are ICT, with an adoption rate of 53 per cent, the audiovisual sector (49.5 per cent) and telecommunications (37.3 per cent). Among large enterprises, the banking, insurance, utilities and energy sectors also stand out; these are sectors characterised by high data intensity and complex processes.

In the case of telecoms, the relationship with agent-based AI is twofold. “It can view telecoms companies both as an application environment and as a means of distributing AI,” observes Beretta. On the one hand, operators can use agents to automate networks, customer support and operational management; on the other, they can become the platform through which AI services for businesses and citizens can be scaled up.

Alongside industrial considerations, the issue of technological sovereignty is also gaining prominence. Europe continues, in fact, to rely heavily on infrastructure and platforms developed outside its borders, whilst the growth of AI makes control over data and computing power increasingly strategic. The initiatives launched by the European Commission in the fields of semiconductors and data centres are specifically aimed at strengthening the continent’s industrial autonomy.

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However, there remains a competitive gap compared with the main global competitors. “The US and China are more advanced and dynamic,” Beretta points out. Europe, on the other hand, “shows very different levels of maturity across its various countries and is still lacking full integration”. As for Italia, he concludes, “it is currently waiting to see how things unfold”. However, adds Carlo Nardello, a lecturer at the University of Rome La Sapienza, “agent-based AI is not a software upgrade but a change in the chain of command. And in Italia, the risk highlighted in various studies is not that of falling behind technologically, but of falling behind in terms of the governance of who decides what an algorithm can do on its own.”

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