<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Project-Failure on AI For Human Expertise</title><link>https://aiforhumanexpertise.com/tags/ai-project-failure/</link><description>Recent content in Ai-Project-Failure on AI For Human Expertise</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Sat, 07 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aiforhumanexpertise.com/tags/ai-project-failure/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Most AI Projects Fail and How to Beat the Odds</title><link>https://aiforhumanexpertise.com/blog/why-most-ai-projects-fail/</link><pubDate>Sat, 07 Feb 2026 00:00:00 +0000</pubDate><guid>https://aiforhumanexpertise.com/blog/why-most-ai-projects-fail/</guid><description>&lt;h2 id="why-ai-projects-fail-three-root-causes"&gt;Why AI Projects Fail: Three Root Causes&lt;/h2&gt;
&lt;p&gt;The numbers are stark: research consistently shows that around 80% of AI projects fail to deliver meaningful business value. Not because the technology doesn&amp;rsquo;t work, but because organisations approach AI the wrong way.&lt;/p&gt;
&lt;figure class="not-prose stat-callout" role="figure"&gt;
 &lt;div class="stat-callout-inner"&gt;
 &lt;div class="stat-callout-number"&gt;80%&lt;/div&gt;
 &lt;div class="stat-callout-text"&gt;
 &lt;p class="stat-callout-label"&gt;of AI projects fail to deliver meaningful business value.&lt;/p&gt;
 &lt;p class="stat-callout-source"&gt;Research consensus across recent industry studies.&lt;/p&gt;
 &lt;/div&gt;
 &lt;/div&gt;
&lt;/figure&gt;

&lt;p&gt;After working across dozens of AI initiatives, we&amp;rsquo;ve identified three root causes that explain the vast majority of failures.&lt;/p&gt;</description></item></channel></rss>