{"id":1172,"date":"2026-01-20T22:08:35","date_gmt":"2026-01-20T22:08:35","guid":{"rendered":"https:\/\/credo.unidu.hr\/usvajanje-umjetne-inteligencije-u-poduzecima-europe-aim-projekt-objavljuje-rezultate-mapiranja\/"},"modified":"2026-04-18T11:04:02","modified_gmt":"2026-04-18T11:04:02","slug":"understanding-ai-adoption-in-europes-small-businesses-aim-project-publishes-mapping-results","status":"publish","type":"post","link":"https:\/\/credo.unidu.hr\/en\/understanding-ai-adoption-in-europes-small-businesses-aim-project-publishes-mapping-results\/","title":{"rendered":"Understanding AI Adoption in Europe\u2019s Small Businesses: AIM Project Publishes Mapping Results"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; padding_top=&#8221;0&#8243; padding_bottom=&#8221;14&#8243; css=&#8221;.vc_custom_1741384030748{margin-top: 20px !important;background-color: #FFFFFF !important;}&#8221; z_index=&#8221;&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]<strong><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-773 alignleft\" src=\"https:\/\/credo.unidu.hr\/wp-content\/uploads\/2025\/03\/AIM_logo-300x142.png\" alt=\"\" width=\"300\" height=\"142\" srcset=\"https:\/\/credo.unidu.hr\/wp-content\/uploads\/2025\/03\/AIM_logo-300x142.png 300w, https:\/\/credo.unidu.hr\/wp-content\/uploads\/2025\/03\/AIM_logo.png 333w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/strong><\/p>\n<p><strong>Co-financed by the Erasmus+ Programme of the European Commission, the AIM Project reveals key insights from its comprehensive mapping of Artificial Intelligence adoption among Europe\u2019s micro, small and medium-sized enterprises (MSMEs).<\/strong><\/p>\n<p>Artificial Intelligence (AI) is transforming industries across Europe \u2014 yet for many small and medium-sized enterprises, the road to digital transformation remains uneven. To address this gap, the <strong>AIM Project (Artificial Intelligence for MSMEs)<\/strong> has conducted an extensive <strong>mapping process<\/strong> to understand how AI is currently used, where challenges persist, and what opportunities exist for improvement.<\/p>\n<p>The <strong>AIM Mapping<\/strong> process serves as a strategic compass for MSMEs, helping them understand where they stand and what resources they need to move forward. Key benefits include:<\/p>\n<ul>\n<li><strong>Identification of practical and accessible AI tools<\/strong> suited for small business contexts.<\/li>\n<li><strong>Analysis of real implementation challenges and success stories<\/strong> across EU sectors.<\/li>\n<li><strong>Collection of case studies<\/strong> illustrating how AI boosts efficiency, decision-making, and customer experience.<\/li>\n<li><strong>Creation of a structured framework<\/strong> that guides MSMEs in selecting technologies aligned with their goals and capacities.<\/li>\n<\/ul>\n<p>These results directly inform AIM\u2019s next phases \u2014 including the <strong>Training Curriculum<\/strong> and <strong>Digital Warehouse<\/strong> \u2014 ensuring that future outputs respond precisely to real-world needs.<\/p>\n<p>The results, now available through the project\u2019s <strong>Digital Warehouse<\/strong> (<a href=\"https:\/\/www.aimproject.eu\/mapping.php\">www.aimproject.eu\/mapping.php<\/a>), offer a comprehensive overview of AI\u2019s penetration across European MSMEs, highlighting disparities between regions, sectors, and company sizes. This analysis provides an essential foundation for developing training, policy, and support tools that enable small enterprises to benefit from the digital revolution.<\/p>\n<p>The analysis focuses on both quantitative and qualitative data from partner countries \u2014 <strong>Spain<\/strong>, <strong>Italy<\/strong>, <strong>Germany<\/strong>, <strong>Ireland<\/strong>, <strong>Sweden<\/strong>, and <strong>Croatia<\/strong> \u2014 to capture a multi-dimensional picture of Europe\u2019s AI landscape. The findings show that <strong>Northern and Western European countries<\/strong> such as Denmark, Sweden, and Finland lead in AI adoption, while <strong>Southern and Eastern regions<\/strong> continue to face structural barriers, including weaker digital infrastructure and limited investment.<\/p>\n<p>AI use is growing, but unevenly distributed. The research identified clear gaps between large companies and MSMEs, between urban and rural areas, and between different generations and genders. In most countries, <strong>less than 30% of AI professionals are women<\/strong>, while younger generations demonstrate higher digital skills and adaptability.<\/p>\n<p>The mapping also highlights systemic barriers holding back AI adoption in smaller enterprises: limited access to funding and expertise, concerns about ethics and regulation, and a lack of confidence or understanding among business leaders. At the same time, promising opportunities are emerging through national initiatives which foster education, digital inclusion, and access to AI tools for SMEs.<\/p>\n<p>These findings underline the importance of coordinated European efforts to make AI an <strong>inclusive growth engine<\/strong> \u2014 not just a technology for large corporations.<\/p>\n<p>All mapping results and national summaries are <strong>freely available in multiple languages<\/strong> through the AIM <strong>Digital Warehouse<\/strong>.<br \/>\nExplore the data and discover the future of AI in European small business at <a href=\"https:\/\/www.aimproject.eu\/index.php\">www.aimproject.eu<\/a>.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; padding_top=&#8221;0&#8243; padding_bottom=&#8221;14&#8243; css=&#8221;.vc_custom_1741384030748{margin-top: 20px !important;background-color: #FFFFFF !important;}&#8221; z_index=&#8221;&#8221;][vc_column][vc_column_text css=&#8221;&#8221;] Co-financed by the Erasmus+ Programme of the European Commission, the AIM Project reveals key insights from its comprehensive mapping of Artificial Intelligence adoption among Europe\u2019s micro, small and&#8230;<\/p>\n","protected":false},"author":1,"featured_media":975,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[42],"tags":[],"class_list":["post-1172","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en"],"_links":{"self":[{"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/posts\/1172","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/comments?post=1172"}],"version-history":[{"count":1,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/posts\/1172\/revisions"}],"predecessor-version":[{"id":1173,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/posts\/1172\/revisions\/1173"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/media\/975"}],"wp:attachment":[{"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/media?parent=1172"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/categories?post=1172"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/credo.unidu.hr\/en\/wp-json\/wp\/v2\/tags?post=1172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}