{"id":26348,"date":"2026-04-29T09:00:00","date_gmt":"2026-04-29T07:00:00","guid":{"rendered":"https:\/\/affidaty.io\/blog\/?p=26348"},"modified":"2026-04-28T14:41:57","modified_gmt":"2026-04-28T12:41:57","slug":"how-ai-systems-impact-the-italian-productive-fabric","status":"publish","type":"post","link":"https:\/\/affidaty.io\/blog\/en\/2026\/04\/how-ai-systems-impact-the-italian-productive-fabric\/","title":{"rendered":"How AI Systems Impact the Italian Productive Fabric"},"content":{"rendered":"<p>The topic of Artificial Intelligence is increasingly central in public debate, especially regarding the risks it may pose in terms of job losses. However, it is useful to narrow the discussion to a few more strategic questions. In this sense, the key question we should ask ourselves as a country is the following: <b>where does Italy stand in the implementation of AI within the productive processes of its companies, and what advantages could it gain in terms of real\u2011economy impact?<\/b><b><\/b><\/p>\n<p>Data provides a meaningful picture. AI adoption among Italian companies is growing rapidly, rising from <b>8.2% in 2024 to 16.4% in 2025<\/b> among firms with at least 10 employees, according to the latest Istat figures. This trend reflects an acceleration, though it remains below the EU average of roughly 13.5\u201318%. In 2025, <b>46% of professionals surveyed by EY<\/b> reported using AI tools at work, compared to 12% in 2024, marking a +34% annual increase. Large enterprises (250+ employees) reach <b>32.5% adoption<\/b>, while medium\u2011sized firms (50\u201399 employees) are at 14%. The main applications involve process automation, data analytics, and predictive maintenance.<\/p>\n<p>Extending the analysis to the patent landscape\u2014although no single, complete official statistic exists for \u201cmade in Italy\u201d AI patents\u2014the data from patent filings between 2019 and 2025 reveals a clear pattern: <b>most international and European patent applications by Italian inventors in AI are concentrated in a few regions with high R&amp;D density<\/b> (Lombardy, Piedmont, Emilia\u2011Romagna, Lazio, Veneto), with a strong weight of major metropolitan hubs (Milan, Turin, Bologna, Rome).<\/p>\n<p>AI patents fall mainly within classes <b>G06N<\/b> (knowledge\u2011based systems, neural networks, machine learning) and <b>G06F<\/b> (data processing), often combined with application\u2011specific sectors (healthcare, manufacturing, telecom, finance). Many applications are filed with <b>EPO, WIPO, and USPTO<\/b> by Italian companies to protect foreign markets; therefore, the \u201cbasket\u201d must be examined across these databases, not only at the Italian Patent and Trademark Office (UIBM). Cross\u2011referencing Italian inventors\u2019 addresses in G06N\/G06F classes (2019\u20132025) with major AI patent families, the national territorial distribution is roughly as follows:<\/p>\n<ul>\n<li><b>Lombardy (Milan):<\/b> first area for international AI patent filings by Italian inventors or companies; strong presence of ICT, fintech, advanced manufacturing, medtech; many patents on image analysis, predictive maintenance, hybrid explainable AI models applied to industry and finance.<\/li>\n<li><b>Piedmont (Turin):<\/b> strong in AI for automotive, robotics, embedded systems, and networks; patents often combine G06N with automotive and telecom classes.<\/li>\n<li><b>Emilia\u2011Romagna (Bologna\u2013Modena):<\/b> specialization in AI for manufacturing, industrial automation, technical image annotation and analysis, process control.<\/li>\n<li><b>Lazio (Rome):<\/b> driven by major ICT players, banks, and central public administration; patents on explainable AI for financial services, model security, ML pipeline management, hybrid shallow\/deep models.<\/li>\n<li><b>Veneto (Padua\u2013Verona):<\/b> AI patents linked to biomedical applications, sensors, industrial IoT, and data analytics for manufacturing SMEs.<\/li>\n<li><b>Southern Italy:<\/b> AI patents exist but are much rarer, often tied to individual university groups or spin\u2011offs rather than large structured companies.<\/li>\n<\/ul>\n<p>Looking at AI patent families involving European inventors\/companies (a pattern also valid for Italian actors), the typical areas are:<\/p>\n<ul>\n<li><b>Computer vision and image analytics:<\/b> automatic annotation frameworks, active learning on images, models for medical or industrial image analysis.<\/li>\n<li><b>Core machine learning and MLOps:<\/b> multipurpose ML engines, systems orchestrating multiple models, pipelines, and trust\/robustness management.<\/li>\n<li><b>Explainable AI and control:<\/b> hybrid shallow\/deep systems for explainability, feedback\u2011loop management between AI systems, robustness evaluation.<\/li>\n<li><b>Vertical applications:<\/b> healthcare (image\u2011based diagnostics), Industry 4.0 (plant control, maintenance), financial services, telecommunications.<\/li>\n<\/ul>\n<p>In general, large groups and technology providers focus on <b>core patents<\/b> (frameworks, ML engines, explainable AI), while Italian manufacturing companies tend to patent <b>vertical applications<\/b>, often in collaboration with universities or regional research centers.<\/p>\n<h2><b>Impact of AI on Italy<\/b>\u2019<b>s GDP and Productivity<\/b><b><\/b><\/h2>\n<p>AI adoption by Italian firms generates a positive impact on GDP through productivity gains, revenue growth, and process efficiency. Estimates indicate a potential <b>annual contribution of up to 8% of GDP<\/b> in scenarios of widespread adoption. Studies by <b>Censis\u2013Confcooperative<\/b> forecast <b>+1.8% GDP by 2035<\/b> (+\u20ac38 billion), while EY notes that <b>93% of adopting companies report +27% average revenue growth<\/b>.<\/p>\n<p>Projected scenarios for the impact of AI agents on the national productive system include:<\/p>\n<ul>\n<li><b>Conservative scenario:<\/b> +0.9\u20131.8% GDP over 10 years (2035), equal to +\u20ac38 billion, driven by productivity increases and creation of new AI\u2011integrated jobs (9 million).<\/li>\n<li><b>Optimistic scenario (widespread GenAI):<\/b> +8% annual GDP at peak within 10 years (+\u20ac150\u2013170 billion), stemming from productivity gains (+\u20ac120\u2013130 billion), re\u2011employment (+\u20ac40\u201350 billion), and reduced transition losses (\u2013\u20ac10 billion).<\/li>\n<li><b>Immediate effects:<\/b> 52% of top managers report cost reductions and profit increases.<\/li>\n<\/ul>\n<h2><b>Impact on Employment<\/b><b><\/b><\/h2>\n<p>The risks of net job losses due to AI introduction are real, but can be mitigated by the creation of new roles within companies. In Italy, <b>6 million jobs (out of 23 million)<\/b> could be replaced by 2035, but <b>9 million jobs could be augmented<\/b>, and <b>2\u20133 million new positions<\/b> are expected in more technological roles (data scientists, AI trainers). The net impact will depend on <b>reskilling processes<\/b> and <b>active labor policies<\/b>.<\/p>\n<p>Reskilling is the critical factor: today, the share of Italian firms using AI is still relatively low (8%). Without investment in reskilling projects, there is a risk of wage stagnation and unemployment rising to 10\u201315%. With such investments, employment levels should remain stable, with a <b>2% job growth<\/b> in the most proactive countries.<\/p>\n<p>Sources:<span class=\"Apple-converted-space\">\u00a0<\/span><\/p>\n<ul>\n<li>https:\/\/www.confapivenezia.it\/news\/intelligenza-artificiale-cresce-lutilizzo-nelle-aziende-italiane-34-nellultimo-anno\/<\/li>\n<li>https:\/\/www.osservatorioai4pa.it\/notizie\/intelligenza-artificiale-economia-lavoro-giustizia\/<\/li>\n<li>https:\/\/www.reviewofailaw.com\/Tool\/Evidenza\/Single\/view_html?id_evidenza=2990<\/li>\n<li>https:\/\/www.fortuneita.com\/2025\/12\/21\/lefficienza-dellai-e-unillusione-perche-tagliare-i-posti-di-lavoro-penalizzera-le-aziende\/<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Project Manager @ COMUNE DI LIVORNO | Innovation, business development, key account, public relations specialist and journalism<\/p>\n","protected":false},"author":405,"featured_media":26347,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":{"format":"standard"},"jnews_primary_category":[],"jnews_social_meta":[],"footnotes":""},"categories":[366],"tags":[129,90,553,180],"coauthors":[1606],"class_list":["post-26348","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general-en","tag-ai","tag-aziende","tag-news","tag-pos"],"_links":{"self":[{"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/posts\/26348","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/users\/405"}],"replies":[{"embeddable":true,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/comments?post=26348"}],"version-history":[{"count":0,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/posts\/26348\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/media\/26347"}],"wp:attachment":[{"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/media?parent=26348"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/categories?post=26348"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/tags?post=26348"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/affidaty.io\/blog\/wp-json\/wp\/v2\/coauthors?post=26348"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}