{"id":691,"date":"2025-12-11T20:31:43","date_gmt":"2025-12-11T20:31:43","guid":{"rendered":"https:\/\/website-f4a39d8c.tfp.sfg.mybluehost.me\/?p=691"},"modified":"2026-05-08T18:09:04","modified_gmt":"2026-05-08T18:09:04","slug":"genai-divide-company-ai-results","status":"publish","type":"post","link":"https:\/\/margotduek.com\/en\/genai-divide-company-ai-results\/","title":{"rendered":"The GenAI Divide: Why 95% of Companies Fail to Achieve Results with AI (and How to Avoid Falling on the Wrong Side of History)"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Artificial intelligence didn\u2019t arrive as a tech trend\u2014it arrived as a wave moving faster than any previous revolution. In less than two years, generative AI went from being a laboratory curiosity to becoming a tool that shows up in your WhatsApp, your ERP, your email, and even in the software you didn\u2019t know you were using.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And yet, the new MIT study <em>The GenAI Divide \u2014 State of AI in Business 2025<\/em> presents a striking finding:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Only around 5% of companies are achieving real, measurable impact with AI. The remaining 95% are seeing no return.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This doesn\u2019t mean that AI \u201cdoesn\u2019t work.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It means most companies are implementing it without strategy, without clarity, and\u2014above all\u2014without understanding that AI is much more than a tool: <strong>it\u2019s a new way of thinking about processes.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I work with companies that move millions: industrial parks, financial institutions, factories, printers, credit companies. And what I see every day fits PERFECTLY into this divide. Here\u2019s what\u2019s happening and how to avoid falling into that 95%.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. The \u201cI want AI\u2026 but I don\u2019t know what for\u201d phenomenon<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">In family businesses, mid-sized companies, and even regional corporations, something curious is happening:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Many want to implement AI just to say they have AI.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I don\u2019t mean this disrespectfully. It\u2019s human nature.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The ghosts of Kodak, Blockbuster, and Nokia are still alive.<\/li>\n\n\n\n<li>No one wants to be \u201cthe business that didn\u2019t adapt in time.\u201d<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">So this happens:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>A) They implement AI to show off, not to transform<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">To use it as a business card at the networking lunch, at the board meeting, on the golf course.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The problem? <strong>Showing off AI doesn\u2019t generate ROI.<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>B) They invest budget without strategy<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">I see this constantly: companies with cash flow want to \u201cdo something with AI\u201d and go straight into buying tools, copilots, chatbots, or platforms without understanding what problem they\u2019re solving.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Which leads us to the third scenario:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>C) When they <em>do<\/em> hire consulting\u2026 everything changes<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Because then we discover:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>which processes can <em>actually<\/em> be automated,<\/li>\n\n\n\n<li>which problems don\u2019t even require AI,<\/li>\n\n\n\n<li>which areas are losing money without realizing it,<\/li>\n\n\n\n<li>and what the <em>first step<\/em> is that will actually move the needle.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>95% of failed projects come from skipping this diagnosis.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Adoption is becoming MANDATORY\u2014 and no one is talking about it<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">When the Internet appeared, you weren\u2019t forced to use it.<br>It took years to reach mass adoption.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That\u2019s not what\u2019s happening with AI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI is being pushed onto every user\u2014whether they want it or not.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The big players are embedding it everywhere:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>WhatsApp offers assistants even if you didn\u2019t ask for them.<\/li>\n\n\n\n<li>Microsoft integrated Copilot across its entire suite.<\/li>\n\n\n\n<li>Meta inserts models in automated messages.<\/li>\n\n\n\n<li>Google added AI to Gmail, Calendar, Drive, and Workspace.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">I see it weekly:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Older adults thinking \u201cMr. Meta is writing to me.\u201d<\/li>\n\n\n\n<li>Teams confused because their software changed on its own.<\/li>\n\n\n\n<li>Companies using AI without a plan simply because \u201cit already comes integrated.\u201d<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">No technology in history has been imposed this fast.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And that explains why so many companies are starting off on the wrong foot.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Why so many AI projects fail (according to MIT and what I see in the field)<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">MIT identified several patterns among companies that fail to achieve impact.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And they match EXACTLY what I see with my clients:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. They start with the tool, not the process<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">They want \u201ca chatbot,\u201d \u201ca model,\u201d \u201ca copilot.\u201d<br>But they haven\u2019t defined which task, area, or pain point they\u2019re targeting.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. They focus on what is visible, not what is profitable<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Marketing and sales receive almost all the AI budget.<br>Meanwhile, areas like finance, purchasing, operations, or credit\u2014the ones that actually move money\u2014are left out.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>That\u2019s where the real ROI is.<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Projects stay stuck in pilot phase<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Amazing demos get built\u2026<br>But they never integrate with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the ERP,<\/li>\n\n\n\n<li>the CRM,<\/li>\n\n\n\n<li>real workflows,<\/li>\n\n\n\n<li>real teams,<\/li>\n\n\n\n<li>internal data.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">That\u2019s where they die.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. They try to build everything in-house<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">And MIT confirms it:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>Internal AI projects fail twice as often as those developed with external experts.<\/strong><\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. What the successful 5% do differently<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">On the right side of the GenAI Divide are companies that understand this:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. AI is implemented by processes, not by features<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The question is not \u201cWhat tool should I buy?\u201d but:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u201cWhich part of my operation can I redesign to gain speed, precision, or savings?\u201d<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. They work with consultants who understand both business and technology<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">They are not looking for a pretty chatbot.<br>They want measurable impact:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Time<\/li>\n\n\n\n<li>Cost<\/li>\n\n\n\n<li>Errors<\/li>\n\n\n\n<li>Friction<\/li>\n\n\n\n<li>Real productivity<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. They start small\u2014but in strategic places<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">One properly automated process is worth more than ten directionless pilots.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. They scale only when they already have impact data<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Not before.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Predictions for 2025\u20132027: What\u2019s coming for large companies in Mexico<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Based on what I see in the field and MIT\u2019s trends, here are my predictions:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>A) AI will become cheaper\u2026 but not simpler<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">There will be Wix-style tools that \u201csolve the basics.\u201d<br>But none replace a solution designed around <em>your<\/em> processes, <em>your<\/em> data, <em>your<\/em> systems.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>B) Companies that adopt early will take the lead<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Even if it\u2019s more expensive today, it\u2019s more profitable in the medium and long term.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Why?<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>they gain experience earlier,<\/li>\n\n\n\n<li>optimize earlier,<\/li>\n\n\n\n<li>learn earlier,<\/li>\n\n\n\n<li>scale earlier,<\/li>\n\n\n\n<li>free up budget earlier.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>C) The gap between the 5% and the 95% will widen<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">MIT confirms it:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Companies that already achieved ROI are the ones adopting <em>even faster<\/em>.<\/li>\n\n\n\n<li>The others will remain stuck in pilots, demos, and frustration.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">AI doesn\u2019t transform businesses because it\u2019s trendy.<br>It transforms them when it\u2019s integrated into processes, data, and real decision-making.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The GenAI Divide is not just an MIT statistic:<br><strong>It\u2019s a mirror of what\u2019s happening today in Mexican companies.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The next few years will separate those who implement AI strategically\u2026<br>from those who adopt it out of pressure or simply \u201cto have something to show.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This blog is the first in a series of analyses where I will explain how to bring AI into real operations\u2014without noise, hype, or confusion, but with technical clarity and business focus.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>FAQ \u2013 Artificial Intelligence in Business<\/strong><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>What is MIT\u2019s GenAI Divide?<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The GenAI Divide is a finding from MIT showing that only around 5% of companies achieve real, measurable impact from AI. The remaining 95% fail to get ROI because they implement without strategy, without clear processes, or without integrating AI into internal operations.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Why do so many AI projects fail?<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Most fail because companies start by buying tools without diagnosing their processes, focus on visible but low-impact areas, leave projects stuck in pilot phase, or try to build everything in-house without technical or strategic experience.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>How can my company get ROI from AI?<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">ROI appears when AI is integrated into critical business processes: finance, operations, purchasing, credit, logistics, data analysis, or document review. Impact comes from automating repetitive tasks, reducing errors, accelerating operational cycles, and freeing up team time.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Which companies benefit most from AI?<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Companies with complex processes and high volume: factories, industrial parks, financial institutions, credit companies, real estate firms, printers, manufacturing, and businesses where operational efficiency directly affects profitability.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Will artificial intelligence be cheaper in the future?<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Yes, but not simpler. Generic tools will become accessible, but truly effective solutions\u2014those integrated into internal systems, data, and real workflows\u2014will continue requiring experts who understand both business and technology.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Is it better to adopt AI now or wait for lower prices?<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Early adoption usually generates more medium-term profitability: companies that start earlier learn earlier, automate earlier, and gain competitive advantage before their competitors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence didn\u2019t arrive as a tech trend\u2014it arrived as a wave moving faster than any previous revolution. In less than two years, generative AI went from being a laboratory curiosity to becoming a tool that shows up in your WhatsApp, your ERP, your email, and even in the software you didn\u2019t know you were [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-691","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The GenAI Divide: Why 95% of Companies Fail to Achieve Results with AI (and How to Avoid Falling on the Wrong Side of History) - Margot Duek<\/title>\n<meta name=\"description\" content=\"Learn why only 5% of companies achieve results with AI and how to avoid falling into the trap. 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