Article SeriesPractitioner
AI Project Failure Analysis
Why 80% of AI projects fail and how to avoid becoming a statistic. In-depth analysis of failure patterns, case studies, and proven prevention strategies.
17 articles7-9 hours
Articles in this series
- 1
AI Project Failure Statistics 2026: The Complete Picture
15By Pertama PartnersRead - 3
The 80% AI Failure Rate Explained: What's Really Happening
10By Pertama PartnersRead - 4
AI Failures Are Leadership Failures: Why 84% Start at the Top
10By Pertama PartnersRead - 5
Why AI Pilots Fail to Scale: The 95% Problem MIT Identified
12By Pertama PartnersRead - 6
Data Readiness: The Silent AI Project Killer
10By Pertama PartnersRead - 7
Change Management Gaps: Why 61% of AI Projects Fail on Adoption
10By Pertama PartnersRead - 9
AI Failure Case Studies Hub: Learning from $10B in Failed Initiatives
8By Pertama PartnersRead - 10
Enterprise AI Abandonment in 2025: Why 42% Walked Away
10By Pertama PartnersRead - 11
GenAI Pilot Failures: Why 95% Never Reach Production
10By Pertama PartnersRead - 12
AI Project Turnaround Stories: From Failure to Success
10By Pertama PartnersRead - 14
AI Project Success Factors: What the 20% Do Differently
12By Pertama PartnersRead - 15
Leadership Alignment for AI Success: Getting the C-Suite on the Same Page
10By Pertama PartnersRead - 16
AI Failures in Financial Services: 82% Failure Rate Analysis
9By Pertama PartnersRead - 17
AI Failures in Healthcare: Why 79% Don't Deliver
9By Pertama PartnersRead - 18
AI Failures in Manufacturing: Why 76% Don't Scale
9By Pertama PartnersRead - 19
How to Avoid the 80% AI Failure Rate: Practical Prevention Guide
10By Pertama PartnersRead - 20
AI Project Red Flags Checklist: Warning Signs of Impending Failure
10By Pertama PartnersRead
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