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The linked article is about the potential impact of AI on technical debt. It argues that as AI systems become more complex and integrated into software, the cost of maintaining and updating those systems can increase significantly. The article highlights how AI models can introduce new forms of technical debt, such as model drift and data dependency, which can make it more challenging and expensive to manage over time. It emphasizes the importance of proactively addressing these issues and incorporating AI-specific technical debt management strategies into software development practices.