AI in Italy: Trends, Numbers and Forecasts for 2026

The AI Observatory at Politecnico di Milano, Italy's leading technical university, has certified an Italian AI market worth 1.8 billion euros in 2025, after reaching 1.2 billion in 2024 (+58%) and 760 million in 2023 (+52%). An acceleration that confirms AI as the fastest-growing technology in the Italian digital market, driven by enterprise adoption of generative AI and the growth of autonomous AI agents.

But the most significant figure is not the market's absolute value. It is the gap between large companies and SMEs: 71% of large companies have started at least one AI project, but fewer than 10% of SMEs have done the same (AI Observatory, Politecnico di Milano, 2025). This means the current market represents only a fraction of its real potential.

Yellow Tech has operated at the center of this market for years, with more than 500 organizations served, 300+ AI agents in production and 20,000+ professionals trained. These numbers offer a privileged view of the real AI trends in Italian companies, beyond the hype.

From day-to-day work with hundreds of Italian companies, five dominant trends emerge that are redefining how organizations adopt and use artificial intelligence.

• Autonomous AI agents — 2026 is the year of agents. No longer chatbots that answer questions, but AI systems that carry out complex tasks on their own: qualifying leads, processing orders, managing tickets from open to close. We have more than 300 agents in production and demand is accelerating. To learn more: guide to AI agents for companies.
• Multimodal AI — The latest-generation models (GPT, Gemini, Claude) natively process text, images, audio and video. This opens up use cases that were previously impossible: analysis of photographed documents, voice assistants that understand visual context, automated quality control on production lines.
• AI governance and compliance — The European AI Act has entered into force and Italian companies need to comply. They need usage policies, risk assessments, documentation of AI systems. Governance is no longer optional: it is a legal requirement.
• AI for SMEs — Falling development costs and the availability of no-code/low-code platforms make AI accessible to small and medium enterprises too. With fewer than 10% of SMEs having started an AI project (Politecnico di Milano, 2025), the growth potential is enormous.
• Training as a prerequisite — Companies that invested in training before developing agents get better results. Corporate AI training is not a nice-to-have, it is the foundation of transformation.

AI adoption in Italy is not uniform. Some sectors are accelerating faster than others, driven by specific competitive and regulatory pressures.

The financial and insurance sector is the most mature: automated compliance, fraud detection, credit scoring and AI customer support are already established realities. Strict regulation has paradoxically accelerated adoption, because AI makes compliance more efficient.

Manufacturing is going through a second revolution: predictive maintenance, visual quality control, supply chain optimization. Italian manufacturing companies, traditionally slow to adopt technology, are catching up fast.

Retail and large-scale distribution use AI for dynamic pricing, inventory management and personalizing the customer experience. AI agents for customer service in retail are among the most requested. Yellow Tech's clients include companies such as Autotorino, Edenred and Saclà, which are getting measurable results.

The education sector is the emerging one: universities such as Bocconi are integrating AI into teaching and research, while companies invest in internal training as a strategic lever.

Italy lags behind the US, the UK and northern Europe in AI adoption. The data confirms it: the American AI market is worth more than 100 billion dollars, the Italian one 1.8 billion euros. But the gap is narrowing: the Italian market grew 58% in 2024 alone, and 71% of large companies have already started at least one AI project.

But the delay is also an opportunity. Italian companies adopting AI today can start from best practices already proven abroad, avoiding the mistakes of first movers. The technology is more mature, costs are lower, use cases are clearer.

Italy also has features that favor AI: a fabric of SMEs with processes that are still highly manual (and therefore high automation potential), manufacturing sectors of excellence that can benefit from AI to stay competitive, and a labor cost that makes the ROI of automation particularly attractive.

Companies need to move, though. With only 7-15% of SMEs having started AI projects, the untapped potential is enormous. Yellow Tech is the reference point for AI consulting in Italy, with a team of 30+ specialists and a track record of 500+ organizations guided.

The shortage of AI talent in Italy is real but often overstated. The problem is not only the lack of data scientists and AI engineers (genuinely rare roles), but the lack of AI skills spread across the organization.

A company does not need 50 data scientists. It needs its marketing, sales, operations and HR staff to know how to use AI tools in their daily work. That is the difference between “having AI” and “being an AI company”.

The Italian Hackathon League, the initiative launched by Yellow Tech with Veliu and Vento, is helping build the ecosystem: 1,200+ applications, 260 participants selected, partners such as Lovable, n8n and ElevenLabs, with the final set to take place at Italian Tech Week in Turin. Initiatives like this speed up the building of practical skills that the traditional education system still cannot provide.

For companies that want to build internal AI skills, corporate training remains the most efficient path. Our team has trained 20,000+ professionals with a 98% satisfaction rate.

Based on current trends and direct experience with hundreds of Italian companies, here are the forecasts for the Italian AI market over the next three years.

• 2026 — The year of normalization. AI stops being a special project and becomes part of standard processes. AI Act compliance becomes an operational priority, and companies that have already started AI projects move from experimenting to producing.
• 2027 — The year of scaling. Companies that started in 2025-2026 replicate their successes at scale. Multi-task AI agents become the norm. The market will pass 2 billion euros.
• 2028 — The year of differentiation. The gap between AI-native companies and traditional companies becomes structural and measurable in terms of margins, speed and service quality. AI will no longer be a competitive advantage: it will be the minimum requirement to compete.
• Implication for decision-makers today — 2026 is the last year in which starting with AI gives a significant competitive advantage. From 2027 onward, whoever does not have AI in production will be catching up, not ahead. For a practical roadmap: how to start with AI in your company.