Only 28% AI Infra Projects Deliver ROI
💡Gartner: 28% AI infra success rate—prioritize ITSM for ROI wins
⚡ 30-Second TL;DR
What Changed
Only 28% of AI infrastructure use cases fully pay off with ROI.
Why It Matters
Low success rate underscores need for strategic selection of AI infra projects, prioritizing high-ROI areas like ITSM to avoid wasted investments.
What To Do Next
Assess current AI infra projects for ITSM alignment to maximize ROI potential.
Key Points
- •Only 28% of AI infrastructure use cases fully pay off with ROI.
- •ITSM is the area most likely to offer successful outcomes.
- •Survey based on Gartner research targeting tech leaders.
🧠 Deep Insight
AI-generated analysis for this event — not the original article.
🔑 Enhanced Key Takeaways
- •The high failure rate is largely attributed to 'technical debt' and the complexity of integrating AI models into legacy IT infrastructure, which often requires significant data pipeline re-engineering.
- •Gartner's analysis highlights that organizations focusing on 'AI-augmented IT operations' (AIOps) see higher success rates because these projects leverage existing structured data sets rather than attempting to build new infrastructure from scratch.
- •A significant portion of the 72% of projects failing to deliver ROI are stalled by 'pilot purgatory,' where proof-of-concepts fail to scale due to prohibitive inference costs and lack of clear business-value alignment.
🔮 Future ImplicationsAI analysis grounded in cited sources
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Original source: The Register - AI/ML ↗
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