Research by Gartner reveals that over 77% of senior software engineers find the demand to integrate AI into applications as a significant challenge. This strain is heightened by expectations from C-suite executives to modernize applications in an era dominated by AI technology trends. While there is potential for growth in using AI to enhance app functionalities, the difficulties in executing these integrations often exacerbate issues related to legacy dependencies. Pegasystems warns this could hinder broader AI strategies and leave companies lagging behind competitors.
More than three-quarters (77%) of senior software engineers said demands to integrate AI within existing applications are a 'significant or moderate pain point'.
With CEOs identifying AI as the technology that will most impact their industry, interest in offerings like AI agents is driving the most momentum.
Execution is not easy for engineering teams faced with the prospect of sprucing up existing applications with a dash of AI.
Many enterprises are caught in a 'legacy dependency' which means they can ill afford to botch upgrades to existing legacy applications, many of which are business critical.
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