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As artificial intelligence (AI) rapidly automates routine tasks and job roles, organizations must prioritize developing quintessentially human skills that machines cannot easily replicate, such as creativity, empathy, collaboration, and complex problem-solving. Drawing from neuroscience, this article examines how industrial-era education and management practices, with their emphasis on structured, repetitive environments, have historically prioritized crystallized intelligence over fluid intelligence. This focus limits adaptability and innovation, which are essential human qualities in an AI-driven world. Our recommendations include stimulating cognitive flexibility, reimagining strategic planning, optimizing team meetings, redesigning jobs, promoting experiential learning, and fostering human relations. By adopting these strategies, organizations can prepare their workforce for more complex, cognitively demanding tasks, ensuring resilience and innovation in the age of AI.
Cady et al. (Thu,) studied this question.