According to a new Gartner report, at least 30% of generative AI projects will be abandoned after the proof-of-concept stage by the end of 2025, highlighting the struggles to prove and realize value in these high-investment endeavours.
Deloitte's findings reflect a concerning trend, revealing that out of 2,770 companies, 70% have moved only 30% or fewer of their GenAI experiments into the production stage, with lack of preparation and data-related issues to blame.
Research from RAND indicates a grim reality for AI project success, reporting that over 80% of AI initiatives fail – a rate that is double that of traditional corporate IT projects.
The required upfront investments for generative AI projects can be steep, suggesting that even successful integration may come too late to justify the costs amidst high levels of capital and operational risk.
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