We discuss how rapid advancements in artificial intelligence are leading to a significant and often unrecognized accumulation of technical debt. It highlights that while AI projects may deliver immediate success, the underlying infrastructure often relies on fragile data pipelines, chaotic model versioning, and insufficient governance. The document emphasizes that these hidden issues can lead to substantial financial costs and operational failures in the future, likening them to cracks in a building's foundation. Finally, it suggests proactive strategies to mitigate this debt, including formalizing governance, establishing a debt register, and fostering a culture of sustainable development.

New tracks tagged #AI Technical Debt