08/25/2026
AI is changing the conversation around technical debt.
For years, organizations have carried the weight of undocumented systems, inconsistent data definitions, outdated integrations, and business logic hidden inside applications. Those challenges often stayed behind the scenes because existing systems continued to run.
AI is bringing them into focus.
As Craig Mullins explains, AI doesn’t fix poor data quality. It relies on it. When AI systems pull from decades of accumulated data, they inherit the inconsistencies, gaps, and decisions that were never fully documented.
For IBM i organizations, this is a critical reminder that modernization is about more than adopting new tools. Trusted data, clear processes, strong governance, and an understanding of existing applications are foundational to preparing for AI.
The systems that have powered businesses for decades contain valuable knowledge. The challenge is making that knowledge accessible, connected, and ready for the future.
We’re curious, do you think AI will help organizations uncover technical debt that has been hidden for years, and identify where to start addressing it?
Read the full article: https://techchannel.com/artificial-intelligence/ai-amplifies-technical-debt/
Data expert Craig Mullins explains why decades of shortcuts become tomorrow's AI failures as organizations reckon with poor data quality.