Why AI Projects Fail: The Human Factors Analysis
A Research-Backed Guide for Operational Leaders Who Want to Beat the 80% Failure Rate
The Problem We're Not Talking About
Walk into any boardroom discussing AI strategy, and you'll hear familiar refrains: "Our competitors are using AI." "We need to automate customer service." "This will make us 30% more efficient."
What you won't hear: "How will Sarah in accounting feel when the AI starts flagging her expense reports?" "What happens when our best sales manager realizes the AI knows his territory better than he does?" "Are we prepared for the six months of passive resistance this will create?"
This oversight explains why AI projects fail at twice the rate of traditional IT implementations.
The stark reality: 80-85% of AI projects fail to deliver expected value, compared to 40% for traditional technology deployments. The difference isn't technical capability—it's human readiness.
What You'll Get in the Complete Analysis:
The research-backed breakdown of why 80% of AI projects fail - with specific diagnostic tools to assess your organization's risk factors and a complete implementation roadmap that addresses the human factors most leaders ignore.
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