“The punitively high cost of maintaining, fixing or replacing AI-generated artifacts such as code, content and design, can erode genAI’s promised return on investments,” Arun Chandrasekaran, a distinguished vice president analyst at Gartner, said in a statement.
GenAI is developing fast, with new features seemingly arriving every few weeks or months, making it hard for IT leaders to keep up. As a result, poorly architected AI upgrades could create what the industry calls “technical debt,” in which the cost of maintenance rises over time. Short-term fixes could leave tools and code with limited reuse value, increasing the maintenance costs.
Quick fixes to integrating AI tools, which operate differently, atop legacy enterprise tools could also create technical debt, venture capitalists recently said.
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