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WorkThe story, in brief

Building expertise in the age of AI: Who trains the next generation?

Your training playbook is broken. Here's how to rebuild it for an AI-native workforce.

Reporting by McKinsey Insights 1 min brief
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The KeyNews take

Why it matters

As AI automation eliminates traditional entry-level roles, organizations must redesign talent development systems to create sustainable expertise pipelines. This addresses a critical gap for leaders managing workforce transitions in an AI economy.

The key facts

7 to know

  1. McKinsey framework: integrate knowledge management, role design, learning, and coaching

  2. Focus on entry-level work disruption and expertise development in AI era

  3. Organizational strategy piece on talent development, not a breaking announcement

  4. AI reshaping entry-level work and career progression

  5. Need to integrate knowledge management, role design, learning, and coaching into single system

  6. Organizational expertise development must be rethought for AI era

  7. Published by McKinsey — implies broad enterprise survey/research foundation

Go to the source

McKinsey Insightsmckinsey.com

Publisher excerpt: As AI reshapes entry-level work, organizations should rethink how expertise is developed by integrating knowledge management, role design, learning, and coaching into a single system.
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