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“IT professionals will now need to focus more on interpreting AI outputs, ensuring accuracy, and making strategic decisions based on AI insights,” he says. “This shift calls for stronger problem-framing abilities, a deeper understanding of AI ethics, and expertise in managing AI-driven workflows. Instead of routine coding, developers will play a greater role in system design, advanced debugging, and optimization.”
To ensure they are able to get there, “entry-level IT professionals must master AI-assisted coding, debugging AI outputs, and prompt engineering while strengthening core programming and problem-solving skills. Adaptability, critical thinking, and ethical AI awareness are equally essential in this evolving landscape,” he says.
And IT leaders will have to establish training pathways to help lay the groundwork for new career paths.
“AI is clearly reshaping IT career paths, shifting focus to dynamic, skills-based growth,” Vohra says. “For IT organizations, this demands a new approach to talent development — one that prioritizes AI fluency, problem-solving, and cross-functional collaboration.”
Like previous evolutions in IT work requirements, some current critical skills may quickly become irrelevant as AI and its use cases advance in the workplace. IT leaders who consider the impact this will have on their talent development strategies and pipelines will have a leg up in ensuring their organizations are primed to make the most of what’s to come.