Knowledge workers spend substantial time searching for information, coordinating across fragmented systems and moving work through review and approval. Agentic AI can reduce these frictions by finding inputs, producing deliverables, checking quality and managing parallel workflows, allowing employees to operate with greater capacity and independence. As the boundary between technical and nontechnical roles blurs, workers can increasingly build tools and complete tasks that once required specialized teams. Realizing these gains will require organizations to redesign workflows, develop AI fluency and involve employees directly in determining where AI can make work more productive and rewarding.

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