{"id":121192,"date":"2026-03-04T10:00:00","date_gmt":"2026-03-04T09:00:00","guid":{"rendered":"https:\/\/aixia.se\/ai-in-manufacturing-the-pilot-projects-are-over\/"},"modified":"2026-03-04T10:00:00","modified_gmt":"2026-03-04T09:00:00","slug":"ai-in-manufacturing-the-pilot-projects-are-over","status":"publish","type":"post","link":"https:\/\/aixia.se\/en\/ai-in-manufacturing-the-pilot-projects-are-over\/","title":{"rendered":"AI in manufacturing: the pilot projects are over"},"content":{"rendered":"<p class=\"has-text-align-left has-normal-font-size\">There&#8217;s a report that came out last week that really should be read by everyone involved in the manufacturing industry in Sweden. Fictiv and MISUMI have done their eleventh annual survey of the industry &#8211; 300+ leaders at director level and above, in everything from EV to medtech to robotics. And the numbers are pretty clear about where the industry is right now.  <\/p>\n<p class=\"has-text-align-left has-normal-font-size has-black-color\" style=\"margin-top:1.5em;margin-bottom:0.5em;\"><strong>AI adoption in manufacturing jumped from 87% to 93% in a single year.<\/strong><\/p>\n<p class=\"has-text-align-left has-normal-font-size\"><em>(Source: <a href=\"https:\/\/bitcoinethereumnews.com\/finance\/the-2026-manufacturing-shifts-you-cant-ignore\/\" target=\"_blank\" rel=\"noopener noreferrer\">BitcoinEthereumNews.com<\/a>)<\/em><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">It is not a trend anymore. It is a new baseline. <\/p>\n<p class=\"has-text-align-left has-normal-font-size has-black-color\" style=\"margin-top:2em;margin-bottom:0.5em;\"><strong>What &#8220;embedded&#8221; actually means<\/strong><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">97% of leaders surveyed say AI is already embedded in core production and supply chain processes, and 95% see AI as a requirement rather than an option.<\/p>\n<p class=\"has-text-align-left has-normal-font-size\"><em>(Source: <a href=\"https:\/\/www.therobotreport.com\/fictiv-misumi-report-state-manufacturing-supply-chain-digitalization\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Robot Report<\/a>)<\/em><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">It&#8217;s an interesting formulation &#8211; &#8220;requirements rather than alternatives.&#8221; A couple of years ago, the same industry talked about AI as an experiment. Now it&#8217;s a hygiene factor.  <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">But the real question is not whether you use AI. It&#8217;s what you do with it. <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">The report points to a concrete bottleneck problem that is quite telling:<\/p>\n<p class=\"has-text-align-left has-normal-font-size has-black-color\" style=\"margin-top:1em;margin-bottom:0.5em;\"><strong>83% of engineers spend four hours or more per week on purchasing-related workflows<\/strong><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">&#8211; administrative work that in theory is perfect for automation.<\/p>\n<p class=\"has-text-align-left has-normal-font-size\">93% of managers say that productivity improves when administrative tasks are removed.<\/p>\n<p class=\"has-text-align-left has-normal-font-size\"><em>(Source: <a href=\"https:\/\/www.therobotreport.com\/fictiv-misumi-report-state-manufacturing-supply-chain-digitalization\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Robot Report<\/a>)<\/em><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">Everyone knows that. Yet it is not happening fast enough. It is that gap that is interesting. Not whether AI works &#8211; but why implementation is still moving in steps.  <\/p>\n<p class=\"has-text-align-left has-normal-font-size has-black-color\" style=\"margin-top:2em;margin-bottom:0.5em;\"><strong>Infrastructure is the bottleneck, not the will<\/strong><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">My view, and it&#8217;s quite consistent with what we see from customers, is that the problem is rarely ambition. It is infrastructure and data control. <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">Setting up an AI system for predictive maintenance on a production line is not complicated in theory. But it does require that the sensor data is actually available, structured, and in an environment where you can run models against it. It requires that you own your data properly &#8211; not have it scattered in three different cloud provider silos with unclear terms.  <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">The manufacturing industry generally has mature OT environments and rigorous reliability requirements. These are strengths. But it also means you can&#8217;t just &#8216;point to the cloud&#8217; and hope it works. You need to think about where the calculations take place, who owns the models and how to ensure that the systems actually deliver in production-critical environments.   <\/p>\n<p class=\"has-text-align-left has-normal-font-size has-black-color\" style=\"margin-top:2em;margin-bottom:0.5em;\"><strong>What it means for Swedish manufacturers<\/strong><\/p>\n<p class=\"has-text-align-left has-normal-font-size\">Sweden has a strong manufacturing sector &#8211; Volvo, SKF, Sandvik, Atlas Copco, and a broad ecosystem of subcontractors. That kind of industrial heft is an asset in the AI transformation, but only if you start with the right foundation. <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">In concrete terms, this means: GPU capacity to train and run your own models, MLOps infrastructure that provides reproducibility and control, and computing environments that can actually handle production data safely.<\/p>\n<p class=\"has-text-align-left has-normal-font-size\">It&#8217;s not a conversation about &#8220;which AI model should we use?&#8221; It&#8217;s a conversation about architecture. <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">We have those conversations with customers in this industry. If you&#8217;re heading into them &#8211; get in touch. <\/p>\n<p class=\"has-text-align-left has-normal-font-size\">&#8212;-<\/p>\n<p class=\"has-text-align-left has-normal-font-size\"><em><a href=\"https:\/\/www.fictiv.com\/2026-state-of-manufacturing-report#hero\" target=\"_blank\" rel=\"noopener noreferrer\">Full report from Fictiv and MISUMI<\/a><\/em><\/p>\n<p class=\"has-text-align-left has-normal-font-size\" style=\"margin-top:2em;\"><strong>Petter Ahl\u00e9n<\/strong><br \/>Sales and Marketing Manager, Aixia AB<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fictiv and MISUMI&#8217;s new report shows that AI adoption in manufacturing has jumped from 87% to 93%. But the pilot projects are over &#8211; now it&#8217;s all about infrastructure and data control. <\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[77],"tags":[],"class_list":["post-121192","post","type-post","status-publish","format-standard","hentry","category-techblog"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/posts\/121192","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/comments?post=121192"}],"version-history":[{"count":0,"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/posts\/121192\/revisions"}],"wp:attachment":[{"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/media?parent=121192"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/categories?post=121192"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aixia.se\/en\/wp-json\/wp\/v2\/tags?post=121192"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}