『Episode 18: L&D's Skills Stupidity: Why 'Business As Usual' Dies in the Skills Intelligence Revolution』のカバーアート

Episode 18: L&D's Skills Stupidity: Why 'Business As Usual' Dies in the Skills Intelligence Revolution

Episode 18: L&D's Skills Stupidity: Why 'Business As Usual' Dies in the Skills Intelligence Revolution

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概要

In this provocative episode of The L&D Mindshift Bytecast, we demolish the most comforting lie in Learning & Development: that your carefully built competency framework is preparing workers for the AI age. While L&D teams spend months perfecting rigid skills taxonomies, the World Economic Forum delivers the brutal truth—39% of the skills workers have today will be obsolete by 2030. That's just four years away.We expose how skills rigidity—frozen competency models updated annually at best—has become corporate malpractice. McKinsey reveals that AI and automation will impact 57% of all work hours globally by 2030, yet most organizations are managing skills with frameworks from 2015. When prompt engineering exploded as one of 2024's fastest-growing skills, organizations using skills rigidity missed it entirely. No training programs. No workforce planning. Just expensive blindness while competitors with skills intelligence spotted the trend, trained internally, and captured talent.Through our SWOT analysis, we evaluate skills intelligence as an approach—the power of real-time adaptation and predictive workforce planning against the harsh realities of high investment costs, data dependence, and implementation complexity. We confront the threats: technology evolution, economic uncertainty, and the exhaustion of change-fatigued organizations.Whether you're an L&D leader watching training programs fail to close skills gaps, or an executive wondering why 63% of employers cite skills shortages as their biggest barrier to transformation, this episode delivers the strategic framework you need. When Harvard research shows companies claim to be "skills-based" but hiring data proves they're not, when your competency model hasn't been truly updated in years—you don't have a training problem, you have a skills intelligence problem. The question isn't whether you're managing skills—it's whether you're managing them for 2015 or 2030.Be sure to check out the sources we used for this episode here: ⁠⁠⁠⁠World Economic Forum - "The Future of Jobs Report 2025"McKinsey Global Institute - "Agents, Robots, and Us: Skill Partnerships in the Age of AI"McKinsey - "Superagency in the Workplace: Empowering People to Unlock AI's Full Potential"McKinsey - "The Critical Role of Strategic Workforce Planning in the Age of AI"McKinsey - "Learning Trends 2025 Perspective"Deloitte - "2025 Global Human Capital Trends"Deloitte - "Six Workforce Strategies to Plan for a Future You Can't Predict"Deloitte - "From Jobs to Skills to Outcomes: Rethinking How Work Gets Done"Josh Bersin / HR Executive - "6 Ways AI Can Superpower HR"Harvard Business Review - "What Companies Get Wrong About Skills-Based Hiring"------------------Find on LinkedIn:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Santhosh Kumar⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/in/santhoshji/)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The L&D Innovation Collective⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (https://www.linkedin.com/company/the-lnd-innovation-collective/⁠)
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