{"id":42067,"date":"2026-01-28T11:16:16","date_gmt":"2026-01-28T11:16:16","guid":{"rendered":"https:\/\/www.mfec.co.th\/uncategorized\/reality-check-why-organizations-invest-in-ai-but-still-dont-see-business-results\/"},"modified":"2026-02-06T07:30:41","modified_gmt":"2026-02-06T07:30:41","slug":"reality-check-why-organizations-invest-in-ai-but-still-dont-see-business-results","status":"publish","type":"post","link":"https:\/\/www.mfec.co.th\/en\/tech-talk\/reality-check-why-organizations-invest-in-ai-but-still-dont-see-business-results\/","title":{"rendered":"Reality Check: Why Organizations Invest in AI but Still Don\u2019t See Business Results"},"content":{"rendered":"\n<p>At a time when economic recovery is slow and every investment must be carefully considered, AI has become a source of hope for many organizations. However, the reality is that many still have not seen clear results from their AI investments.<\/p>\n\n<ul><li>More than 80\u201395% of organizations report that their AI projects have yet to deliver clear ROI.<\/li><\/ul>\n\n<ul><li>Less than 30% of organizations are able to deploy AI effectively at an enterprise-wide level.<\/li><\/ul>\n\n<p><strong data-start=\"2\" data-end=\"67\" data-is-only-node=\"\">The problem isn\u2019t AI\u2014it\u2019s the way organizations invest in it.<\/strong><br data-start=\"67\" data-end=\"70\"\/>Most organizations don\u2019t fail because they choose the wrong technology, but because they start in the wrong place.<br data-start=\"190\" data-end=\"193\"\/>Common challenges seen across many organizations include:<\/p>\n\n<ul><li>Purchasing AI tools in silos<\/li><\/ul>\n\n<ul><li>Providing one-off training sessions<\/li><\/ul>\n\n<ul><li>Viewing AI as solely an IT responsibility<\/li><\/ul>\n\n<p><strong>Reality Check: The Numbers Behind the Failure<\/strong><\/p>\n\n<ul><li>Over 50% of organizations state that AI challenges lie in workflows\u2014not in the models.<\/li><\/ul>\n\n<ul><li>More than 40% of AI budgets are spent on tools that employees do not use consistently.<\/li><\/ul>\n\n<ul><li>Organizations that cannot measure AI outcomes often stop further investment within 12\u201318 months.<\/li><\/ul>\n\n<p><strong data-start=\"2\" data-end=\"66\" data-is-only-node=\"\">Reframing the Mindset: Effective AI <\/strong>Must Start with the Work<br data-start=\"66\" data-end=\"69\"\/>AI that delivers real impact doesn\u2019t begin with \u201ctools,\u201d but with the work that needs to be done better.<\/p>\n\n<p><strong>Organizations must shift their perspective.<\/strong><\/p>\n\n<ul><li>AI Tool\u00a0&gt;\u00a0AI as Enterprise Infrastructure\u00a0<\/li><\/ul>\n\n<ul><li>Individual Skill\u00a0&gt;\u00a0Team Learning\u00a0<\/li><\/ul>\n\n<ul><li>Experiment\u00a0&gt;\u00a0Mini Flow\u00a0Can using<\/li><\/ul>\n\n<p>Before the next AI investment, what should organizations ask?<\/p>\n\n<ul><li>Who does our AI actually help work better?<\/li><\/ul>\n\n<ul><li>Are there workflows that people use consistently?<\/li><\/ul>\n\n<ul><li>How clearly can we measure the business outcomes?<\/li><\/ul>\n\n<p><p data-start=\"2\" data-end=\"68\"><strong data-start=\"2\" data-end=\"66\" data-is-only-node=\"\">MFEC Inspire 2026 \u2013 Empowering Tomorrow\u2019s Enterprise with AI<\/strong><\/p>&#13;\n<p data-start=\"75\" data-end=\"358\" data-is-last-node=\"\">A convergence of cutting-edge IT solutions, real-world use cases, and proven business outcomes.<br data-start=\"174\" data-end=\"177\"\/>This stage is not just about sparking ideas\u2014it helps organizations establish the right investment foundation and move forward confidently in an increasingly challenging world.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>At a time when economic recovery is slow and every investment must be carefully considered, AI has become a source of hope for many organizations. However, the reality is that many still have not seen clear results from their AI investments. More than 80\u201395% of organizations report that their AI projects have yet to deliver [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":41944,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[17,92,110],"tags":[351,739,352],"acf":[],"aioseo_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Reality Check: Why Organizations Invest in AI but Still Don\u2019t See Business Results<\/title>\n<meta name=\"description\" content=\"Many organizations have already invested in AI, yet the ROI remains unclear. 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