Why Simulation-Based Learning Matters in an AI-Driven Workforce
AI is accelerating productivity across nearly every industry. Code is written faster. Decisions surface sooner. Work moves at a pace that would have been difficult to imagine just a few years ago. Alongside those gains, a quieter risk is emerging: the underuse of core human cognitive skills. A recent World Economic Forum report identified creative skills like critical thinking, judgment and problem-solving skills as both increasingly important and increasingly difficult to find at scale. Research from the MIT Media Lab has also found that using AI can lead to "cognitive atrophy," where reliance on intelligent systems can reduce independent reasoning and decision making over time. Theory-based learning is effective for transferring information. What it struggles to do is reveal how people reason under uncertainty. A study conducted mainly by researchers from the University of Central Florida found in 2010 that traditional instruction can often fails to translate knowledge into real-world decision making, particularly in complex or dynamic environments.
Forbes