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As experienced employees retire in record numbers, AI is stepping in to automate tasks—but instead of closing the knowledge gap, it’s making it worse. AI can process information and generate recommendations, but it doesn’t build judgment.
Without intentional knowledge transfer, organizations risk creating a workforce that is efficient but strategically weak.
In this episode, Jackson Lynch explores why mentorship, critical thinking, and decision-making frameworks must be prioritized before it’s too late. He shares why traditional training is failing, how AI is reshaping learning in unintended ways, and the three critical steps leaders must take now to preserve expertise.
The future of work isn’t just about adopting new tools—it’s about ensuring leaders know how to use them.
As experienced employees retire in record numbers, AI is stepping in to automate tasks—but instead of closing the knowledge gap, it’s making it worse. AI can process information and generate recommendations, but it doesn’t build judgment.
Without intentional knowledge transfer, organizations risk creating a workforce that is efficient but strategically weak.
In this episode, Jackson Lynch explores why mentorship, critical thinking, and decision-making frameworks must be prioritized before it’s too late. He shares why traditional training is failing, how AI is reshaping learning in unintended ways, and the three critical steps leaders must take now to preserve expertise.
The future of work isn’t just about adopting new tools—it’s about ensuring leaders know how to use them.