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Why Software Engineering Outsourcing Still Matters in the AI Era

Insight

Why Software Engineering Outsourcing Still Matters in the AI Era

Article/Blog post

Insight summary

Even as generative AI accelerates coding and automates routine tasks, it does not replace experienced software engineering. In this Forbes Tech Council interview, Klaudia Zaika explains why AI still struggles with complex architecture, legacy systems, security, and regulatory constraints — areas where human expertise remains critical. The article highlights risks of over-reliance on AI, including unreliable outputs, data exposure, and hidden quality issues. Outsourcing continues to matter not for execution capacity, but for access to specialized engineers who can apply AI responsibly within real-world systems. Technology leaders should reassess outsourcing as a strategic capability that complements AI rather than competes with it.
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TransparencyWins ecosystem context

This insight was contributed by Apriorit, a software engineering partner represented in the TransparencyWins ecosystem. TransparencyWins connects expert contributions with provider profiles, case studies, certifications and other capability signals so that tech buyers can better understand and compare potential software engineering partners.