AI Doesn't Eliminate Technical Debt—It Amplifies It
craigmullins · x · 2026-07-30
Data expert Craig Mullins argues that many executives view AI as a cure-all for organizational complexity and data extraction, but the reality is often different.
The article explains that historical technical debt—such as poorly documented databases, inconsistent definitions, and duplicate data stores—doesn't disappear with AI. Instead, the AI supply chain picks up these data quality issues at every stage, amplifying the compromises and ultimately leading to unreliable AI outcomes that erode trust. Addressing foundational data quality is therefore a prerequisite for successful AI deployment.
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