"According to the researchers, the role of AI in these types of projects is systematically overestimated. A large share of the initiatives launched in 2026 to phase out mainframes are not expected to deliver the results initially hoped for."
"The current focus on AI plays a significant role in this, adds Heise. Within the investment world, an organization's ability to apply AI is increasingly seen as a measure of success."
"Projects not only risk becoming more expensive than planned but also threaten the continuity of business processes. Errors in migration decisions can lead to prolonged disruptions and new technical debt."
"Generative AI thus appears to be an attractive tool. In practice, however, the technology proves particularly suitable for providing insight into and documenting that technical debt, but much less so for automatically converting legacy code to modern platforms."
Gartner analysts conclude that many organizations will struggle to phase out mainframes due to unrealistic expectations of generative AI in modernization efforts. The report indicates that AI's role is often overestimated, leading to initiatives that may not achieve desired results. The pressure to integrate AI can result in costly projects and disrupt business processes. While AI can help document technical debt, it is less effective in converting legacy code to modern platforms, complicating the modernization process further.
Read at Techzine Global
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