Upskilling in Artificial Intelligence, Machine Learning, and Data Science Helped 4 in 5 Professionals to Transition to New Roles, Finds Great Learning’s Career Progression Report

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Bengaluru, March 18, 2025.

Great Learning, a global leader in higher education and professional training, has released its Career Progression Report 2024-25, offering an in-depth analysis of the long-term impact of upskilling on career growth. The report draws insights from a comprehensive survey of randomly selected 1,000 alumni from Great Learning’s AI, Data Science, and Machine Learning programs, covering professionals at various career stages, from early-career to senior leaders. It highlights how continuous learning drives sustained career advancement, helping professionals achieve leadership roles, salary increases, and greater employability.

80% of professionals experience a positive career shift post-upskilling in AI/ML and Data Science programs

The report further reinforces the impact of upskilling on advancing the careers of professionals across levels, with 80% reporting positive career shifts, including promotions, salary increases, or successful career transitions over time, post-upskilling in high-value domains like AI/ML and Data Science. Looking at a shorter time frame of 2 years post-upskilling, 74% of professionals received a promotion or transitioned to new roles, among which 69% successfully moved into new roles either within their current organization or with a new employer, while 31% reported significant enhancements in their existing roles.

Leadership Roles Double Post-Upskilling

The transformative impact of upskilling is evident in the career trajectory of professionals, with 2 in 3 moving up the career ladder. Many professionals who began as individual contributors have successfully transitioned into leadership or team management positions post upskilling.

The study also revealed that post upskilling, the number of professionals in leadership roles doubled, and team management positions grew by 80%.This growth reflects how acquiring skills in Data Science, AI, and ML is enabling professionals to transition into managerial and strategic leadership roles, empowering them to navigate and lead teams effectively in a technology-driven dynamic environment.