digital-innovation
How AI Agents are Changing the Way We Work: Digital Transformation is About 'Work Redesign,' Not 'Tool Adoption'
As AI agents spread in 2026, corporate digital transformation challenges are shifting from simply introducing AI tools to redesigning work processes themselves. Although many companies have adopted generative AI, only a small number have translated this into actual revenue and cost-saving results, revealing a wide gap between adoption rates and performance. Unlike simple response-based chatbots, AI agents understand goals, plan tasks, and execute them, requiring delegation, accountability, and review systems to be designed together. Major South Korean conglomerates such as Samsung, SK, and LG are also viewing AI as an enterprise-wide work innovation platform, simultaneously pursuing organizational restructuring, talent acquisition, and governance reorganization. Ultimately, the core factor dividing AI performance is not the performance of the tool, but the capability to redesign workflows so that agents operate within actual work processes.

As AI agents spread in 2026, corporate digital transformation challenges are shifting from simply introducing AI tools to redesigning work processes themselves. Although many companies have adopted generative AI, only a small number have translated this into actual revenue and cost-saving results, revealing a wide gap between adoption rates and performance. Unlike simple response-based chatbots, AI agents understand goals, plan tasks, and execute them, requiring delegation, accountability, and review systems to be designed together. Major South Korean conglomerates such as Samsung, SK, and LG are also viewing AI as an enterprise-wide work innovation platform, simultaneously pursuing organizational restructuring, talent acquisition, and governance reorganization. Ultimately, the core factor dividing AI performance is not the performance of the tool, but the capability to redesign workflows so that agents operate within actual work processes.
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