More than 80% of L&D initiatives for early-career professionals, particularly in the IT/ITeS, Analytics/Consulting, and BFSI sectors, were structured as 2-12 week programs, with an average of 15 hours of training per week. These programs aimed to bridge the gap between academic learning and industry skill requirements. Meanwhile, over 67% of training for mid and senior-level executives in Manufacturing and Retail/E-commerce focused on data-driven decision-making and technical skills, typically requiring just a few hours per week to avoid disrupting productivity. For senior leaders, enterprises preferred 1-3 day capsule workshops that combined new technology training with leadership development.
Also read: AI, Data Science, and Cyber Security Remain Top Workforce Training Priorities for FY25
Commenting on the report, Ritesh Malhotra, Enterprise Head at Great Learning, stated, “The report underscores a unanimous shift towards developing an adaptable workforce and moving away from a one-size-fits-all approach to training. Organisations now recognise that Generative AI training is crucial for achieving business objectives across all employee levels. By extending this training beyond traditional tech roles, companies are adopting a strategic L&D approach that enables their workforce to streamline processes, automate routine tasks, and drive innovation more effectively, resulting in significant cost savings. Today, Global Capability Centers (GCCs) are evolving from being mere recipients of change to active enablers of it. They are investing heavily in training for cutting-edge technologies like Generative AI, Data Analytics, and Cloud Computing to fuel global innovation and enhance organisational efficiency.”
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