AI ADOPTION MAY ERODE HUMAN EXPERTISE, RESEARCHERS WARN

The worry extends across sectors where stakes are high—medicine, law, engineering, and other fields requiring deep specialized knowledge. When AI handles routine tasks and decision-support functions, practitioners may never gain the foundational experience needed to recognize edge cases, make nuanced judgments, or troubleshoot novel problems. Expertise typically builds through repetition, failure, and gradual mastery. If AI shortcuts this process, professionals could face blind spots in critical moments when tools fail or situations fall outside training data. Researchers point to historical parallels: calculator adoption reduced mental math skills; GPS weakened navigational abilities. Yet AI's scope is broader, potentially affecting diagnostic reasoning, legal analysis, and engineering problem-solving simultaneously. The challenge isn't rejecting AI but structuring its implementation thoughtfully. Experts suggest maintaining "deliberate practice" components in training and reserving certain tasks for human execution to preserve skill development pathways.