Automation in Work: McKinsey on Skills & Future Jobs | Document Processing & Inventory Management
A recent study indicates that artificial intelligence and robotics are now automating 57% of tasks currently performed by employees, according to a report by The Chosun Ilbo.
The findings, detailed in a McKinsey & Company report examining one year of “agentic AI” implementation, reveal a significant shift in the nature of work. While automation is impacting a broad range of responsibilities, the report emphasizes that certain human skills remain crucial. Specifically, leadership and communication abilities are proving resistant to full automation, according to McKinsey’s observations from companies actively deploying agentic AI systems.
The automation trend is particularly evident in document processing and inventory management, areas where AI excels at repetitive tasks and data analysis. The McKinsey report highlights lessons learned from organizations integrating these technologies, noting the importance of understanding how AI impacts existing workflows and employee roles.
The insurance industry is also experiencing a rapid influx of AI applications, with McKinsey identifying potential for transformation across various functions. AI is being explored for tasks ranging from claims processing to risk assessment, aiming to improve efficiency and accuracy.
In the pharmaceutical sector, AI is being utilized to streamline regulatory submissions, a traditionally complex and time-consuming process. McKinsey reports that a “zero-based design” approach, leveraging AI, is helping companies to re-engineer these submissions for greater efficiency and compliance. This involves fundamentally rethinking the structure and content of regulatory documents to optimize them for AI processing and review.
Despite the increasing capabilities of AI, the McKinsey study underscores the continued value of uniquely human skills. The report suggests that organizations need to focus on developing these skills in their workforce to complement the capabilities of AI and ensure a successful transition to a more automated future.