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AI Upskilling ROI Gap: Adaptive Learning Emerges as Key Solution

Companies are struggling to translate AI tool adoption into tangible business results, with over 80% reporting no significant EBIT impact from generative AI, according to McKinsey & Company. The key issue is not access to AI but the conversion of these tools into measurable improvements like faster decisions or increased revenue. Adaptive learning, focused on specific workflows and business priorities, is presented as a solution to bridge this gap, moving beyond traditional upskilling models that often yield low returns. AI

IMPACT Highlights the critical need for effective AI upskilling strategies to achieve measurable business ROI, impacting how companies integrate AI tools.

RANK_REASON Opinion piece discussing AI upskilling challenges and proposing adaptive learning as a solution, citing industry research.

Read on Forbes — Innovation →

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AI Upskilling ROI Gap: Adaptive Learning Emerges as Key Solution

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Russell Sarder, Forbes Councils Member ·

    Adaptive Learning At Scale: Turning AI Upskilling Into Measurable ROI

    The real question is not how many employees completed an AI course, but whether the business has built enough role-specific capability to change how work gets done.