{"id":29143,"date":"2025-03-06T17:06:13","date_gmt":"2025-03-06T16:06:13","guid":{"rendered":"https:\/\/res-group.eu\/?p=29143"},"modified":"2026-04-09T14:23:52","modified_gmt":"2026-04-09T12:23:52","slug":"generative-ai-for-smes-how-and-when-to-use-it","status":"publish","type":"post","link":"https:\/\/res-group.eu\/en\/article\/generative-ai-for-smes-how-and-when-to-use-it\/","title":{"rendered":"Generative AI adoption in SMEs: how and when to use it"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-padding-top:20px;--awb-padding-right:20px;--awb-padding-bottom:15px;--awb-padding-left:20px;--awb-bg-color:#f2f2f2;--awb-bg-color-hover:#f2f2f2;--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:30px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><h3><b>The article at a glance<\/b><\/h3>\n<ul>\n<li class=\"p3\">Generative AI is growing rapidly, accounting for <strong>43% of the artificial intelligence market<\/strong> in Italy, although adoption among SMEs remains limited.<\/li>\n<li class=\"p3\"><strong>SMEs face<\/strong> technological, economic and organizational <strong>barriers<\/strong> that slow down AI integration compared to larger enterprises.<\/li>\n<li class=\"p3\">There are <strong>risks<\/strong> related to misinformation, including unrealistic expectations, improper use and lack of supervision, which can lead to poor decisions.<\/li>\n<li class=\"p3\"><strong>SMEs can benefit from AI<\/strong>, provided it is adopted with a conscious and supervised approach.<\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:0px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-2\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Index<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69e6574e4920a\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #231d1c;color:#231d1c\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #231d1c;color:#231d1c\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69e6574e4920a\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/res-group.eu\/en\/article\/generative-ai-for-smes-how-and-when-to-use-it\/#The_AI_market_in_Italy_where_we_stand\" >The AI market in Italy: where we stand<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/res-group.eu\/en\/article\/generative-ai-for-smes-how-and-when-to-use-it\/#Why_do_SMEs_adopt_AI_more_slowly_than_large_enterprises\" >Why do SMEs adopt AI more slowly than large enterprises?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/res-group.eu\/en\/article\/generative-ai-for-smes-how-and-when-to-use-it\/#AI_misconceptions_the_risk_of_misinformation\" >AI misconceptions: the risk of misinformation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/res-group.eu\/en\/article\/generative-ai-for-smes-how-and-when-to-use-it\/#How_can_SMEs_adopt_AI_effectively\" >How can SMEs adopt AI effectively?<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"The_AI_market_in_Italy_where_we_stand\"><\/span><b>The AI market in Italy: where we stand<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"p3\">In recent years, the artificial intelligence (AI) sector in Italy has experienced significant growth, reaching a value of <strong>\u20ac1.2 billion in 2024<\/strong>, with a 58% increase compared to the previous year <em>(<a href=\"https:\/\/www.osservatori.net\/comunicato\/artificial-intelligence\/intelligenza-artificiale-italia\/\">Artificial Intelligence Observatory, POLIMI School of Management<\/a>).<\/em><\/p>\n<p class=\"p1\">A significant share of this growth is driven by Generative AI (GenAI), which accounts for 43% of the market and is mainly based on two types of algorithms: large language models (LLMs) for text generation and algorithms for image creation.<\/p>\n<p class=\"p1\">However, while large enterprises have already embraced AI through structured initiatives, small and medium-sized enterprises (SMEs) are still at an early stage.<\/p>\n<p class=\"p1\">The data is clear: 59% of large companies have launched AI projects, while the percentage is much lower among SMEs, despite more than half of them showing interest in the topic.<\/p>\n<p class=\"p1\">Specifically, only <strong>7% of small enterprises and 15% of medium-sized enterprises<\/strong> have started initiatives related to artificial intelligence.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Why_do_SMEs_adopt_AI_more_slowly_than_large_enterprises\"><\/span><b>Why do SMEs adopt AI more slowly than large enterprises?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"p3\">Only 8% of Italian SMEs have adopted Generative AI tools available on the market through licensed solutions. These companies are largely those already active in the AI sector, while a smaller share consists of organizations that are beginning to experiment with the technology with very limited investments.<\/p>\n<p class=\"p3\">What explains the <strong>gap<\/strong> in adoption between large enterprises and SMEs? We have identified three main factors:<\/p>\n<p style=\"padding-left: 40px;\"><b>1. Technological maturity<\/b><\/p>\n<p class=\"p3\">Large enterprises can build experience in using AI more quickly, thanks to greater availability of resources. SMEs are only starting to explore its potential.<\/p>\n<p style=\"padding-left: 40px;\"><b>2. Project complexity<\/b><\/p>\n<p class=\"p3\">Initiatives in large organizations rarely involve AI alone. They often integrate multiple technologies, making projects more complex. This level of complexity requires highly specialized skills, which are harder to find within SMEs. Large enterprises typically rely on <strong>management teams<\/strong> with specific expertise, while SMEs depend on more versatile managerial roles that are often less focused on specialized competencies.<\/p>\n<p style=\"padding-left: 40px;\"><b>3. Economic and decision-making constraints<\/b><\/p>\n<p class=\"p3\">SMEs are significantly more sensitive to cost. For example, a large enterprise can invest in strategic consulting projects worth hundreds of thousands of euros, while SMEs often need to rely on more accessible solutions, sometimes at the risk of choosing inadequate tools.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"AI_misconceptions_the_risk_of_misinformation\"><\/span><b>AI misconceptions: the risk of misinformation<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"p3\">SMEs are currently exposed to misleading narratives about what AI can actually deliver. In some cases, communication has created excessive enthusiasm, leading to unrealistic expectations or, conversely, to unfounded concerns.<\/p>\n<p class=\"p3\">One of the most widespread misconceptions concerns the diagnostic capabilities of tools such as ChatGPT and other language models, which are sometimes presented as superior to doctors in <strong>diagnosing diseases<\/strong>. In reality, these tools do not have clinical capabilities and cannot replace professionals. They can only support decision-making.<\/p>\n<p class=\"p3\">Another example of improper AI use can be found in some U.S. courts, where <strong>automated drafting of legal decisions<\/strong> has been tested, raising questions about fairness and accountability in decision-making processes. A further case involved the airline Air Canada, which, after a legal dispute, had to compensate customers due to incorrect information provided by an unsupervised chatbot in its customer care service.<\/p>\n<p class=\"p3\">Even more concerning is the use of AI in <strong>therapeutic contexts<\/strong>, where some chatbots have been suggested as support tools for patients with psychological disorders, leading to serious consequences. These examples highlight the risks of assigning critical responsibilities to systems that lack empathy and autonomous judgment.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_can_SMEs_adopt_AI_effectively\"><\/span><b>How can SMEs adopt AI effectively?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"p3\">While the risks associated with AI must be considered from the outset, there are many scenarios in which Generative AI can deliver <strong>real value<\/strong> to SMEs. Some examples include:<\/p>\n<ul>\n<li class=\"p1\">AI can support the reading and structuring of complex texts, improving decision-making processes and enabling more effective <strong>analysis and management of large volumes of data<\/strong>.<\/li>\n<li class=\"p1\">SMEs can <strong>automate repetitive tasks using LLMs<\/strong> to organize information, generate summaries or support customer care activities, reducing operational time.<\/li>\n<li class=\"p1\">AI can be used to analyze large volumes of customer data, helping companies identify relevant segments, predict purchasing behavior and <strong>optimize<\/strong> <strong>marketing strategies<\/strong>.<\/li>\n<\/ul>\n<p class=\"p3\">To distinguish between safe and risky use of AI, SMEs can follow two simple recommendations:<\/p>\n<ul>\n<li>\n<p class=\"p1\"><strong>Avoid relying on AI for opinions or internal information<\/strong>, as generative models may produce unverifiable content.<\/p>\n<\/li>\n<li>\n<p class=\"p1\"><strong>Do not allow AI to make critical decisions autonomously<\/strong>. All generated content should be reviewed by a human before being used in business contexts.<\/p>\n<\/li>\n<\/ul>\n<p class=\"p3\">Like any tool, the value of Generative AI depends on how it is used. SMEs can benefit from it by adopting a conscious approach and avoiding misleading expectations. Human supervision remains essential: AI can support decisions, but it cannot replace them.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Generative AI is expanding quickly in Italy, but SMEs are still slow to adopt it. What explains the gap with large enterprises?<\/p>\n","protected":false},"author":7,"featured_media":24047,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[240],"tags":[279,238],"class_list":["post-29143","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article","tag-artificial-intelligence","tag-innovation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Generative AI adoption in SMEs: how and when to use it - RES Group<\/title>\n<meta name=\"description\" content=\"Learn how SMEs can use Generative AI effectively, understanding when to adopt it, where it adds value and how to manage risks.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/res-group.eu\/en\/article\/generative-ai-for-smes-how-and-when-to-use-it\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Generative AI adoption in SMEs: how and when to use it - 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